Refine Search

New Search

Results: 286,736

(searched for: publisher_group_id:44)
Save to Scifeed
Page of 5,735
Articles per Page
by
Show export options
  Select all
Published: 26 September 2021
BioMed Research International, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/1011661

Abstract:
Adaptation is an important factor for the clinical success of restorations. However, no studies are available evaluating the adaptation of primary crowns. The aim of this study was to compare the adaptation of crowns fabricated by CAD/CAM technology versus prefabricated fiberglass primary crowns. Typodont maxillary central, canine, and mandibular molar teeth were prepared to serve as master dies after the size of Figaro crowns was determined ( n = 10 ). Master dies were scanned with an intraoral scanner, and 10 identical CAD/CAM crowns were fabricated from resin-ceramic blocks. Figaro and CAD/CAM crowns were placed on the corresponding master dies and scanned via micro-CT. Three-dimensional volumetric gap measurements were performed to evaluate the overall adaptation. A total of 255 location-based linear measurements were allocated into 4 categories: marginal, cervical-axial, middle-axial, and occlusal. Statistical analyses were performed with factorial ANOVA, repeated measure ANOVA, and LSD tests ( α = 0.05 ). CAD/CAM crowns showed significantly lower overall and location-based gap measurements than Figaro crowns regardless of tooth number ( p < 0.05 ). For all groups, mean marginal discrepancies were lower than occlusal measurements ( p < 0.05 ). Both crown types showed higher marginal gaps for molar teeth than for canine and central incisors with no significant difference between them ( p > 0.05 ). CAD/CAM-fabricated crowns showed better marginal and internal adaptation than prefabricated Figaro crowns.
Yap Chin Ann, Foo See Wei, Gilbert Yeo, Teow Wei Ping, Lawrence Tuah
International Journal of Food Science, Volume 2021, pp 1-8; https://doi.org/10.1155/2021/9979115

Abstract:
This study described the production method of novel whiskey using black pepper berries as raw material including the determination of chemical composition and sensory profile of this distillate. The production process consisted of production of fermentation medium via hydrothermal treatment, followed by fermentation and distillation. The incorporation of hydrothermal extraction process makes this whiskey production process differ from the existing commercial spirit production protocol. Chemical composition analysis showed that there were 12 main volatile compounds that contribute to the aroma profile of this pepper whiskey which consisted of 1 aldehyde group, 3 ester groups, 2 phenolic compounds, and 6 alcohol groups. All of these compounds are presented at different concentrations that are able to give pleasant and signature aroma to this spirit. A 10-member descriptive analysis panel conducted showed that 7 descriptors can be used to define the organoleptic quality of this whiskey, namely, clarity and brilliance (visual), fruity and flora (aroma), spiciness and sweetness (taste), and fruity mouthfeels. In conclusion, pepper berries can be used as raw material for pepper whiskey production and having organoleptic quality acceptable for human consumption.
Bisrat Yihun Matebie, Belachew Zegale Tizazu, Aseel A. Kadhem, S. Venkatesa Prabhu
Published: 26 September 2021
Journal of Nanomaterials, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/7133154

Abstract:
This study is aimed at utilizing brewery’s spent grain (BSG) byproduct for the synthesis of cellulose nanocrystals (CNCs) using acid hydrolysis and optimizing the hydrolysis parameters (hydrolysis time, temperature, liquid-solid ratio, and acid concentration). Alkali and bleaching treatment were done to remove hemicellulose and lignin from BSG. Optimization process was performed using central composite design (CCD) to obtain optimum value of cellulose nanocrystal (CNC) yield. The maximum cellulose nanocrystal (CNC) yield of 43.24% was obtained at optimum hydrolysis conditions of 50°C, 51 wt% acid concentration, 41 min, and liquid-solid ratio of 19 ml/g. The raw brewery spent grain; alkali-treated fiber, bleached fiber, and obtained CNC were characterized using scanning electron microscopy (SEM), XRD, particle analyzer, FTIR, and differential scanning calorimeter (DSC). The characterization results indicated that the obtained cellulose nanocrystal (CNC) has rod-like whisker shape with crystallinity of 76.3% and an average particle size of 309.4 nm.
Fanghong Tang, Feihu Zhu, Huarong Hu
Published: 25 September 2021
Mobile Information Systems, Volume 2021, pp 1-7; https://doi.org/10.1155/2021/9788974

Abstract:
This paper mainly introduces an improved PLC communication program based on PLC link network communication. Read and write corresponding production data at different time periods through the shared link area, and use link location soft elements as interactive handshake signal. The main station download module and slave station upload module are designed to complete the large range of data transmission interaction between master and slave stations, and the control system is realized in the automatic production line for drum brake pad processing.
Wen-Yu Zeng, Lin Tan, Cong Han, Zhuo-Ya Zheng, Gui-Sheng Wu, , Su-Lian Li
Oxidative Medicine and Cellular Longevity, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/7656834

Abstract:
Trigonelline is the main alkaloid with bioactivity presented in fenugreek, which was used in traditional medicine in Asian countries for centuries. It is reported that trigonelline has anti-inflammatory, anti-oxidant, and anti-pathogenic effects. We are wondering whether trigonelline have anti-aging effect. We found that 50 μM of trigonelline had the best anti-aging activity and could prolong the lifespan of Caenorhabditis elegans (C. elegans) by about 17.9%. Trigonelline can enhance the oxidative, heat, and pathogenic stress resistance of C. elegans. Trigonelline could also delay the development of neurodegenerative diseases, such as AD, PD, and HD, in models of C. elegans. Trigonelline could not prolong the lifespan of long-lived worms with loss-of-function mutations in genes regulating energy and nutrition, such as clk-1, isp-1, eat-2, and rsks-1. Trigonelline requires daf-16, hsf-1, and aak-2 to extend the lifespan of C. elegans. Trigonelline can also up-regulate the expression of daf-16 and hsf-1 targeted downstream genes, such as sod-3, gst-4, hsp-16.1, and hsp-12.6. Our results can be the basis for developing trigonelline-rich products with health benefits, as well as for further research on the pharmacological usage of trigonelline.
Ming Chen, Junqiang Cheng, Zhifeng Zhang, , Yi Zhang
Published: 25 September 2021
Mobile Information Systems, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/5608340

Abstract:
Aiming at the slow speed and low accuracy of traditional facial expression recognition, a new method combining the attention mechanism is proposed. Firstly, group convolution is used to reduce network parameters. The channels of traditional convolution are grouped to cut off redundant connections so that the number of parameters decreases significantly. Secondly, the ERFNet network model was improved by combining the asymmetric residual module and the weak bottleneck module to improve the running speed and reduce the loss of accuracy. Finally, the attention mechanism was added into the feature extraction network to improve the recognition precision. The experiment shows that compared with traditional face recognition methods, the proposed method can improve the recognition precision and recall significantly; in CK+, Jaffe, and Fer2013 datasets, the recognition precision can reach 88.81%, 82.16%, and 79.33%, respectively.
Lin Jiang, , Qingjian Li, Jing Jiang, , Xin Che,
Published: 25 September 2021
Journal of Ophthalmology, Volume 2021, pp 1-5; https://doi.org/10.1155/2021/9995546

Abstract:
Purpose. To assess whether bone mineral density, indicated by the lumbar X-ray scan, is related to changes in choroid thickness in normal subjects. Methods. This study included 355 patients with decreased bone mineral density and 355 age- and sex-matched healthy subjects. Lumbar BMD was measured by dual-energy X-ray absorptiometry (DXA). Choroidal thickness was measured using swept-source optical coherence tomography (SS-OCT). Blood pressure (BP), cholesterol, triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were recorded on the same day. Results. There was a significant difference in average choroidal thickness between low BMD subjects and normal subjects p = 0.003 . The BP, cholesterol, triglyceride, HDL, and LDL showed no significant difference between the two groups. The correlations showed that average choroidal thicknesses were associated with BMD in the entire population (r = 0.125, p = 0.001 ). Conclusion. The choroidal thickness is thinner in low BMD populations compared with normal individuals. There is a strong positive correlation of choroidal thickness with BMD, regardless of age, sex, and other demographic and clinical factors.
Zhanyou Luo, Yongheng Deng, Baoping Zou, Jianfeng Zhu, Mingyao Jiang, Kuangqin Xie
Published: 25 September 2021
Shock and Vibration, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/7709050

Abstract:
Metro Jet System (MJS) joint microdisturbance reinforcement is often adopted to strengthen and remediate existing tunnels that are severely deformed by under-construction peripheral works, but analysis related to the reinforcement system of tunnel under consideration of seismic effects is insufficient at present. In this work, a field test of MJS joint microdisturbance reinforcement system of existing tunnels was conducted on the basis of a subway tunnel deformation reinforcement project. Then, a numerical simulation study of the seismic dynamic response of reinforcement system was performed in combination with seismic wave direction and intensity. Results show that the MJS joint microdisturbance reinforcement measures can effectively reduce the settlement and horizontal radial convergence deformation of the tunnel. The seismic longitudinal wave significantly affects the vertical displacement of the tunnel, and the seismic-induced vertical displacement of the tunnel increases with the rise in seismic intensity. The seismic transverse wave significantly affects the horizontal radial convergence deformation of the tunnel, and the seismic-induced horizontal radial convergence deformation of the tunnel increases with the rise in seismic intensity. The antiseismic property of MJS joint microdisturbance reinforcement measures on the existing tunnel is not obvious.
S. Siva Subramanian, R. Saravanakumar, Bibhu Prasad Ganthia, S. Kaliappan, , Maitri Mallick, Monalisa Mohanty, G. Pavithra
Advances in Materials Science and Engineering, Volume 2021, pp 1-8; https://doi.org/10.1155/2021/3188506

Abstract:
Improvements in the material characteristics of bandgap semiconductors allow the use of high-temperature, high-voltage, and fast switch rates in power devices. Another good reason for creating new Si power converter devices is that previous models perform poorly. The implementation of novel power electronic converters means high energy efficiency but a more logical use of electricity. At this moment, titanium dioxide and gallium nitride are the most prospective semiconductor materials because of their great features, established technology, and enough supply of raw components. This study is focused on providing an in-depth look at recent developments in manufacturing Si-C- and high-powered electronic components and showcasing the whole scope of the newly developing product generation.
Jiaohui Yu
Published: 25 September 2021
Advances in Mathematical Physics, Volume 2021, pp 1-14; https://doi.org/10.1155/2021/2834873

Abstract:
In today’s rapid development of network and multimedia technology, the booming of electronic commerce, users in the network shopping species of images and other multimedia information showing geometric growth, in the face of this situation, how to find the images they need in the vast amount of online shopping images has become an urgent problem to solve. This paper is based on the partial differential equation to do the following research: Based on the partial differential equation is a kind of equation that simulates the human visual perception system to analyze images; based on the summary of the advantages and disadvantages of multifeature image retrieval technology, we propose a multifeature image retrieval technology method based on the partial differential equation to alleviate the indexing imbalance caused by the mismatch of multifeature image retrieval technology distribution. To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. The purpose of this article for image recognition is for better shopping platforms for merchants. This algorithm has trained multiple samples and has data support. The experimental results show that our proposed data set allocation method shows significant advantages over the data set allocation method that does not consider category correlation. However, the image features used in image retrieval systems are often hundreds or even thousands of dimensions, and these features are not only high in dimensionality but also huge in number, which makes image retrieval systems encounter an inevitable problem—“dimensionality disaster.” To overcome this problem, scholars have proposed a series of approximate nearest neighbor methods, but multifeature image retrieval techniques based on partial differential equations are more widely used in people’s daily life.
, Yue Wu, Zhiying Cao
Published: 25 September 2021
Journal of Healthcare Engineering, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/3937222

Abstract:
Since the hippocampus is of small size, low contrast, and irregular shape, a novel hippocampus segmentation method based on subspace patch-sparsity clustering in brain MRI is proposed to improve the segmentation accuracy, which requires that the representation coefficients in different subspaces should be as sparse as possible, while the representation coefficients in the same subspace should be as average as possible. By restraining the coefficient matrix with the patch-sparse constraint, the coefficient matrix contains a patch-sparse structure, which is helpful to the hippocampus segmentation. The experimental results show that our proposed method is effective in the noisy brain MRI data, which can well deal with hippocampus segmentation problem.
Yingjun Dong, , Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, , Gregory A. Ruark
Computational Intelligence and Neuroscience, Volume 2021, pp 1-8; https://doi.org/10.1155/2021/6151651

Abstract:
Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve the performance of utterance clustering by processing multichannel (stereo) audio signals. Processed audio signals were generated by combining left- and right-channel audio signals in a few different ways and then by extracting the embedded features (also called d-vectors) from those processed audio signals. This study applied the Gaussian mixture model for supervised utterance clustering. In the training phase, a parameter-sharing Gaussian mixture model was obtained to train the model for each speaker. In the testing phase, the speaker with the maximum likelihood was selected as the detected speaker. Results of experiments with real audio recordings of multiperson discussion sessions showed that the proposed method that used multichannel audio signals achieved significantly better performance than a conventional method with mono-audio signals in more complicated conditions.
Chao Li, Na Zuo
Discrete Dynamics in Nature and Society, Volume 2021, pp 1-13; https://doi.org/10.1155/2021/1042791

Abstract:
The study examines optimal pollution control R&D investment strategy of firms under asymmetric information and further analyzes the impact of government incentive mechanism on it. We use stochastic optimal control theory to get the exact solution of R&D investment strategy and incentive mechanism. Our analysis reveals that if there is no supervisor, firms choose not to cooperate, but the government can take appropriate incentive compensation to make firms reach Nash equilibrium. If there are supervisors, the optimal strategy of the enterprise is to choose cooperation, and there will be Pareto optimum among the firms. Furthermore, the R&D investment level decreases with increasing environmental uncertainty.
Fengnian Wang, , Chi Liu
Mathematical Problems in Engineering, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/2583707

Abstract:
Through the establishment of structural mechanics model, this paper analyzes the fracture of super thick rock stratum. Through the model, it can be seen that the fracture of low-level super thick rock stratum produces large elastic energy release and dynamic load, which is easy to produce disasters such as rock burst. The numerical calculation shows that under the influence of low hard and thick rock stratum, the leading area of coal mine roadway will produce energy concentration, and the coal pillar will also produce energy accumulation. Thick rock stratum is in bending state and has large bending elasticity. Coal pillar has large compression elasticity, which is the main reason for rock burst. The accumulation of elastic properties of overburden and rock burst caused by coal pillar energy storage can be effectively controlled by using advanced presplitting blasting, coal seam drilling pressure relief, and strengthening support.
, Tezera Gizewu
Mathematical Problems in Engineering, Volume 2021, pp 1-16; https://doi.org/10.1155/2021/4836434

Abstract:
This paper examined the three-dimensional steady thin film flow of tangent hyperbolic fluid with nonlinear mixed convection flow and entropy generation past a stretching surface under the influence of magnetic field. For the flow problem, the Cattaneo–Christov heat and mass diffusion model was employed to examine heat and mass transfer characteristics and impacts of the normally directed magnetic field. To transform nonlinear PDEs into ODEs, the variable transformation technique was used. The bvp4c algorithm was implemented to solve these ODEs. The behavior of every leading parameter on the velocities, temperature, concentration profile, entropy generation, and Bejan number was reported with tabular and figurative form. The results show that as the values of Br increase, the entropy generation enhances, but the Bejan number decreases. Moreover, as the values of B increase, the opposite characteristics are observed in entropy generation and Bejan number graphs. Furthermore, the skin friction coefficient number, local Nusselt number, and Sherwood number are graphically discussed for the active involved parameters. The best agreement is recorded when we compare this paper with the previous literature for various values of M .
Zejun Zhang, , Bowen Feng, Yinping Ma, Guojing Zhang
Published: 25 September 2021
Advances in Civil Engineering, Volume 2021, pp 1-19; https://doi.org/10.1155/2021/8471801

Abstract:
The existing studies have shown that parapets have great influence on the girder distribution factor (GDF) of bridges. However, there is no method in the design guide to estimate the GDF considering the effect of parapets. This research aims to develop a simplified method for estimating the GDF by considering the effect of parapets. First, a simply supported steel-concrete composite girder bridge was tested to investigate the effect of parapets on the GDF. Then, finite-element (FE) model was established and verified by the field test data of strain and deflection. In addition, error study showed that the bending stiffness of the bridge was increased by about 92% and 19.1%, respectively, due to the effects of parapet and continuous layer. As the effect of the continuous layer on each girder was relatively uniform, the simplified method was optimized only considering the effect of the parapet. Finally, the effect of the parapet on the GDF was compared and discussed. Considering the effect of the parapet, the GDF of the exterior girder calculated by the simplified method and FE analysis decreased by about 26.92% and 23.53%, respectively, and the adjacent interior girder decreased by about 15.22% and 12.77%, respectively. Comparing the GDF calculated by the AASHTO LRFD specifications, the GDF calculated by the simplified method decreased by about 30.77% in the exterior girder and 41.30% in the interior girder, respectively. The results indicate that the method of calculating the GDF without considering the effect of the parapet in AASHTO LRFD specifications is conservative. The GDF calculated by the simplified method was basically close to the field test results, meaning that the proposed simplified method considering the effect of the parapet was relatively accurate.
Tianyu Dong, Lingxing Meng
Published: 25 September 2021
Mobile Information Systems, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/9119262

Abstract:
China, the United States, the United Kingdom, Germany, and other major AI superpowers as research objects, this paper establishes the assessment index system with the diamond model, weights the international competitiveness indexes of AI industry in the four countries based on positive and negative ideal points, and applies the simulated annealing (SA) algorithm to obtain the final weights. Then, the TOPSIS assessment method is used to score and rank their international competitiveness of AI industry. It is concluded that the United States is on the leading position in the human factor, knowledge factor, capital factor, enterprise strategy structure/competitors, and policy laws and regulations. China has a complete infrastructure system and huge market demand. The leading of these indicators is also the reason why China can catch up in the development of some industries when it participates in the global value division. Europe also performs well in knowledge factors, capital factors, strategic structure/competitors, and policies and regulations but needs to invest more in AI industry infrastructure. Finally, this paper analyzes the advantages and disadvantages of the countries and reasons to provide comparative reference among different countries for AI industry.
Xianfu Wei
Published: 25 September 2021
Security and Communication Networks, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/6950711

Abstract:
At present, the domestic and foreign financial crisis early-warning model research will provide only prediction accuracy as the only standard of success for early-warning model, ignoring an important problem, namely, will the financial crisis early-warning model for normal business, compared with the normal enterprise, forecast the financial crisis? This paper reviews the research situation at home and abroad from the perspective of the definition of the enterprise financial crisis, the form of expression, and so on. From the theoretical level, the relationship between the cause of the financial crisis and the change of financial indicators is established by explaining the early-warning theory, early-warning theory of financial crisis, and cost-sensitive learning theory, and the framework of early warning modeling of financial crisis based on decision tree is put forward. The decision tree model is constructed on several training subsets as the base learner so that the decision tree base learner can learn the characteristics of the healthy sample and crisis sample roughly equally. Taking the bond issuing enterprises of manufacturing industry as samples, the empirical comparison shows that the financial warning model based on decision tree integration is more accurate, which indicates that the model can improve the correct identification rate of financial crisis enterprises under the premise of higher overall warning accuracy.
, Akwasi Acheampong, Yaw Duah Boakye, Bernard Asante, Samuel Ohene, Francis Amankwah
Published: 25 September 2021
Journal of Chemistry, Volume 2021, pp 1-15; https://doi.org/10.1155/2021/3328073

Abstract:
Vernonia camporum is used ethnomedicinally to treat diseases such as malaria, fever, hypertension, mouth sores, pains, inflammation, and skin rashes in Africa. This study aims at investigating the biological activities (anthelminthic, anti-inflammatory, antioxidant, and antimicrobial) and separating some of the biologically active components in the methanol crude extract of the stem-bark of Vernonia camporum. Phytochemical screening, anthelminthic (Lumbricus terrestris (earthworm)), anti-inflammatory (egg albumin denaturation), antioxidant (DPPH and H2O2 scavenging and total antioxidant capacity (TAC)), and antimicrobial (agar and broth dilution method) assays were performed on the extracts. Column chromatography and FTIR spectroscopic analysis were employed to separate and analyze the least polar constituents of the methanol extract. The preliminary phytochemical analyses revealed the presence of secondary metabolites such as alkaloids, phenols, tannins, saponins, terpenoids, flavonoids, steroids, phytosterols, proteins and amino acids, phlobatannins, glycosides, cardiac glycosides, coumarins, and anthocyanins. The extracts (methanol and hexane) showed a higher concentration-dependent anthelminthic activity. The extracts exhibited high concentration-dependent anti-inflammatory activities with IC50 values of 35.83 ± 3.984 and 53.91 ± 5.8413 µg/mL, respectively. The IC50 values for methanol and hexane extracts in the DPPH assay were 17.70 ± 3.430 and 29.54 ± 1.5437 µg/mL, and those of the H2O2 assay were 243.20 ± 0.1528 and 352.20 ± 12.64 µg/mL, respectively. TAC results for methanol and hexane extracts were recorded as 31.592 ± 1.682 and 30.232 ± 0.445 gAAE/100 g, respectively. The extracts were observed to exhibit antimicrobial activity against test organisms with MICs ranging from 0.1953 to 25.00 mg/mL. Chromatographic separations gave four fractions. FTIR analysis indicated the presence of various functional groups in purified fractions of the methanol extract that confirms the presence of the phytochemicals identified in the screening test. The results indicate that both extracts of V. camporum possess anthelminthic, anti-inflammatory, antioxidant, and antimicrobial activities supporting the traditional usage of this plant.
Zhi Wang, Yong Yang, Yang Chen, ,
Published: 25 September 2021
Case Reports in Medicine, Volume 2021, pp 1-4; https://doi.org/10.1155/2021/1338823

Abstract:
Emergence delirium (ED) is defined as the delirium that occurs during the transition from the sleep state to full consciousness. ED increases the risk for injury, self-extubation, hemorrhages, and prolonged hospitalization and occurs in patients of any age but most often in children and elderly patients. However, ED in young adults is rarely reported. We presented a case of typical ED occurring in a young healthy man following an uneventful appendectomy. The causes of ED can be classified as either predisposing or precipitating factors. In this case, the unnoticeable mental stress may be the predisposing factor and the sevoflurane maintenance of anesthesia may be the precipitating factor. ED occurs at any age of patient and in any minor surgery, and anesthesiologists should do some work to prevent it from happening.
Jingjing Guo, Jiacong Sun
Published: 25 September 2021
Security and Communication Networks, Volume 2021, pp 1-17; https://doi.org/10.1155/2021/5686506

Abstract:
Group nearest neighbor (GNN) query enables a group of location-based service (LBS) users to retrieve a point from point of interests (POIs) with the minimum aggregate distance to them. For resource constraints and privacy concerns, LBS provider outsources the encrypted POIs to a powerful cloud server. The encryption-and-outsourcing mechanism brings a challenge for the data utilization. However, as previous work from k − anonymity technique leaks all contents of POIs and returns an answer set with redundant communication cost, the LBS system cannot work properly with those privacy-preserving schemes. In this paper, we illustrate a secure group nearest neighbor query scheme, which is referred to as SecGNN. It supports the GNN query with n n ≥ 3 LBS users and assures the data privacy and query privacy. Since SecGNN only achieves linear search complexity, an efficiency enhanced scheme (named Sec GNN + ) is introduced by taking advantage of the KD-tree data structure. Specifically, we convert the GNN problem to the nearest neighbor problem for their centroid, which can be computed by anonymous veto network and Burmester–Desmedt conference key agreement protocols. Furthermore, the Sec GNN + scheme is introduced from the KD-tree data structure and a designed tool, which supports the computation of inner products over ciphertexts. Finally, we run experiments on a real-database and a random database to evaluate the performance of our SecGNN and Sec GNN + schemes. The experimental results show the high efficiency of our proposed schemes.
Xiaodan Sun, Peiyan Zhao, Hui Li, Yan Liu, Tianming Wang,
Published: 25 September 2021
Journal of Oncology, Volume 2021, pp 1-12; https://doi.org/10.1155/2021/9715154

Abstract:
Ginsenoside Rh2 (Rh2) is one of the pharmacologically active components of ginseng with an antitumor effect. However, its effect on non-small-cell lung cancer (NSCLC), especially on aerobic glycolysis, which plays a crucial role in the proliferation and progression of tumor cells, has not been characterized. Here, we demonstrated that Rh2 inhibited the proliferation and metastasis of NSCLC cells by promoting apoptosis and suppressing epithelial-mesenchymal transition, respectively. Notably, Rh2 exerted a glycolysis inhibition effect through regulating GLUT1, PKM2, and LDHA, which are key enzymes of the glycolysis process. Furthermore, the metabolic shift function of Rh2 was dependent on the STAT3/c-Myc axis in NSCLC. This novel regulatory role of Rh2 provides a new perspective for NSCLC treatment and highlights the potentiality of Rh2 to be used as a tumor energy blocker. The combination of Rh2 with an STAT3 or c-Myc inhibitor revealed a promising therapeutic approach for patients with NSCLC.
Daming Zhang, Fangjin Sun, Tiantian Liu
Advances in Materials Science and Engineering, Volume 2021, pp 1-14; https://doi.org/10.1155/2021/4286810

Abstract:
Coal gangue-based geopolymer concrete is an environmentally friendly material made from coal gangue, solid waste from the coal mine. Compressive strength is one of the most important indexes for concretes. Different oxide contents of coal gangue will affect the compressive strength of the geopolymer concrete directly. However, there is little study on the relationship between oxide contents and compressive strength of the geopolymer concrete. Experiments are commonly used methods of determining the compressive strength of concretes, including geopolymer concrete, which is time-consuming and inefficient. Therefore, in the work here, a support vector machine and a modified cuckoo algorithm are utilized to predict the compressive strength of geopolymer concrete. An orthogonal factor is introduced to modify the traditional cuckoo algorithm to update new species and accelerate computation convergence. Then, the modified cuckoo algorithm is employed to optimize the parameters in the support vector machine model. Then, the compressive strength predictive model of coal gangue-based geopolymer concrete is established with oxide content of raw materials as the input and compressive strength as the output of the model. The compressive strength of coal gangue-based geopolymer concrete is predicted with different oxide contents in raw materials, and the effects of different oxide contents and oxide combinations on compressive strength are studied and analyzed. The results show that the support vector machine and the modified cuckoo algorithm are valid and accurate in predicting the compressive strength of geopolymer concrete. And, coal gangue geopolymer concrete compressive strength is significantly affected by oxide contents.
, Songyang Li, Miao Wang
Computational Intelligence and Neuroscience, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/5585041

Abstract:
The context, such as scenes and objects, plays an important role in video emotion recognition. The emotion recognition accuracy can be further improved when the context information is incorporated. Although previous research has considered the context information, the emotional clues contained in different images may be different, which is often ignored. To address the problem of emotion difference between different modes and different images, this paper proposes a hierarchical attention-based multimodal fusion network for video emotion recognition, which consists of a multimodal feature extraction module and a multimodal feature fusion module. The multimodal feature extraction module has three subnetworks used to extract features of facial, scene, and global images. Each subnetwork consists of two branches, where the first branch extracts the features of different modes, and the other branch generates the emotion score for each image. Features and emotion scores of all images in a modal are aggregated to generate the emotion feature of the modal. The other module takes multimodal features as input and generates the emotion score for each modal. Finally, features and emotion scores of multiple modes are aggregated, and the final emotion representation of the video will be produced. Experimental results show that our proposed method is effective on the emotion recognition dataset.
Chongming Yang, Ling Wang, , Xinxiu Dong, Yuncui Wang, Fen Yang
Evidence-Based Complementary and Alternative Medicine, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/9984419

Abstract:
Background. Cutoff scores of the Montreal cognitive assessment (MoCA) for screening mild cognitive impairment in older adults differ across the world and within the Chinese culture. It is argued that to seek a cutoff score is essential to classify test participants. It was unknown how taking a classifying approach might reveal the cutoff score for identifying mildly cognitively impaired older adults. Methods. Participants, selected from 13 communities in Wuhan, China, were tested with the Chinese version of MoCA and rated with the Activities of Daily Living and the Clinical Dementia Rating scales. Mixture modeling was applied to the data with certain covariates and MoCA sum scores as the outcome of the latent class. Models with different numbers of classes were compared in terms of information criteria, likelihood ratio test, entropy, and interpretability. Results. A 3-class model (normal, mildly impaired, and severely impaired) was found to fit the data best. The normal class averaged a MoCA score of 24, while the severely impaired class averaged a score below 18. For those cases with MoCA scores above 18 and below 24, it is not certain if they are in the normal or the severely impaired classes. Conclusion. Latent variable classification modeling provides another option to identify MCI in older adults. Some categorically different cases of MCI cannot be captured with any single MoCA sum score. A range of 18–24 MoCA scores might serve as a better screening criterion of MCI. Older adults who scored within this gray zone should be monitored for potential interventions.
Noosheen Zahid, , , Abdul Hamid, Aqeel Ahmad, Muhammad Shafique Khalid, Haseeb Ur Rehman, Nasir Masood, Shahid Iqbal Awan, Javaid Riffat Khan, et al.
Published: 25 September 2021
Journal of Food Quality, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/1129998

Abstract:
Quince fruit is mostly used to produce functional products. Recently, the value of this crop has increased due to demand as industrial raw material. The state of Azad Jammu and Kashmir and specifically Rawalakot, District Poonch, is blessed with climatic conditions which are very much suitable for quince production, and therefore, a huge plantation could be found in wild. In this regard, this study was designed to collect two different accessions of quince (apple-shaped quince (ASQ) and pear-shaped quince (PSQ)) from three different locations (Dhamni (elevation: 5431 ft), Shamsabad (elevation: 5374 ft), and Drake (elevation: 3378 ft)) of Rawalakot, District Poonch, and analyze their physicochemical and mineral nutrients of fruit and the soil. Correlation coefficients were established pairwise. Results showed that physicochemical nutrients were significantly ( P ≤ 0.05 ) higher in ASQ fruits as compared with PSQ fruits. Further, fruits collected from location at higher elevation (Dhamni) showed better results as compared with fruits collected from lower elevations. Moreover, increased amount of nitrogen contents in the soil resulted in increased fruit weight. Similarly, fruit quality indices and bioactive compounds showed a positive correlation with the increased soil nutrient contents. These prediction models for quality of quince could be useful in guiding plant nutrition status and for enhancing fruit production in this region.
Yan Yang, Hong Ge, De-Qing Li, Ai-Xia Xu
Published: 25 September 2021
Disease Markers, Volume 2021, pp 1-18; https://doi.org/10.1155/2021/6256369

Abstract:
Currently, plenty of researches have revealed that long noncoding RNAs (lncRNAs) can act as crucial roles during the progression of various tumors, including hepatocellular carcinoma (HCC). Here, we measured the expression of lncRNA BAIAP2 antisense RNA 1(BAIAP2-AS1) as well as its contribution to the developments of HCC. In this study, the expressions of BAIAP2-AS1 and SOX4 were distinctly upregulated in HCC cells and tissues, and high BAIAP2-AS1 may be a novel biomarker for HCC. E2F1 activated BAIAP2-AS1 expression. The silence of BAIAP2-AS1 inhibited the proliferation and metastasis of HepG2 and PLC5 cells. Assays for relationship verification showed that BAIAP2-AS1 regulated the expression of SOX4 and miR-361-3p. Rescue experiments further confirmed the positive interaction between miR-361-3p and BAIAP2-AS1 as well as between miR-361-3p and SOX4. Overall, BAIAP2-AS1 modulated the miR-361-3p/SOX4 axis to promote the development of HCC. Thus, our study offers a potential therapeutic target for treating HCC.
Dingding Zhang, Chenyang Ma, Yanyan Duan, Wengang Du, Jinxuan Liu, Jing Chai
Published: 25 September 2021
Journal of Sensors, Volume 2021, pp 1-13; https://doi.org/10.1155/2021/1207374

Abstract:
Real-time monitoring of settlement and deformation within a coal mine’s deep quaternary unconsolidated strata presents challenges with installation and signal analysis. This paper presents results from successfully installing a field-scale fiber Bragg grating (FBG) sensing system in a deep borehole for the purpose of achieving real-time monitoring of the settlement and deformation in a deep unconsolidated stratum. A 152 m deep by 133 mm diameter borehole was used to embed an array of 24 FBG sensors in 12 layers of gravel and clay from between 92.4 m and 148.7 m of unconsolidated quaternary strata. A wavelength bandwidth of ±4.5 nm was used with a wavelength division multiplexing and spatial division multiplexing technique to compose a 4-by-6 sensor array. During the four stages of installation, the real-time transmission characteristics and the changes in the FBG wavelength for this sensing system were evaluated. While the FBG sensing system was stable after installation, it was clearly shown that the engineering techniques associated with both positioning and grouting influenced the mechanical properties and transmission characteristics of the system. After installation, the sensor survival rate was found to be 78.26% with a maximum FBG wavelength shift of 1.447 nm. This field-scale installation has provided information and experience that will improve future installations of buried fiber optic sensing technology throughout the underground coal mine industry.
Oxidative Medicine and Cellular Longevity, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/3339456

Abstract:
Background. Exposure to suboptimal intrauterine environment might induce structural and functional changes that can affect neonatal health. Telomere length as an important indicator of cellular health has been associated with increased risk for disease development. Objectives. This study was aimed to examine the independent and combined effects of maternal, obstetric, and foetal factors on cord blood telomere length (TL). Methods. Pregnant women at the gestational age of 20th to 24th week who attended the antenatal clinic of a major local hospital in Hong Kong were recruited. Participants were asked to complete a questionnaire on demographics, health-related quality of life, and history of risk behaviors. Medical history including pregnancy complications and neonatal outcomes was obtained from electronic medical records of both mother and neonate. Umbilical cord blood was collected at delivery for TL determination. Results. A total of 753 pregnant women (average age: 32.18 ± 4.51 years) were recruited. The prevalence of maternal infection, anaemia, and hypertension during pregnancy was 30.8%, 30.0%, and 6.0%, respectively. The adjusted regression model displayed that maternal infection was negatively associated with cord blood TL ( β = − 0.18 , p = 0.026 ). This association became even stronger in the presence of antenatal anaemia, hypertension, delivery complications, or neonatal jaundice ( β = − 0.25 to −0.45). Conclusions. This study consolidates evidence on the impact of adverse intrauterine environment at the cellular level. Maternal infection was significantly associated with shorter cord blood TL in a unique manner such that its presence may critically determine the susceptibility of telomere to other factors.
, Georg-Peter Ostermeyer, Andreas Hohl
Published: 25 September 2021
Shock and Vibration, Volume 2021, pp 1-16; https://doi.org/10.1155/2021/5089213

Abstract:
In this paper, a passive damper based on energy dissipation through shock and dry friction (shock-friction damper) is investigated regarding its design and effectiveness for damping self-excited torsional vibrations similar to those occurring in deep drilling. The results are compared to the results of conventional friction dampers. The effectiveness of the damper for different operational drilling parameters that change during the drilling process, such as the weight on the bit and the rotary speed of the bit, is analyzed. Two linear reduced order models of a drill string that are based on a complex finite element model are set up. One is reduced using the component mode synthesis and one is reduced to the identified critical mode. A lumped mass represents the inertia of a forcedly connected nonlinear damper. A combined reduced order model of the complex system and the inertia damper is introduced to investigate its dynamic motion and stability. Particular focus is on the energy flow within the dynamic system and on the change of the dissipation energy in the contact. A semi-analytical solution is derived using the harmonic balance method that is used to investigate the damping effect for various designs and operational parameters. Herein, the modal properties as well as parameters of the damper are examined regarding the damping effect and the stability of the system. Finally, the capability of the mechanism to suppress the self-excitation due to the bit–rock interaction in a drilling system is discussed, and recommendations are made with respect to the design parameters and placement of the damper.
, Anood Gaissi
Published: 25 September 2021
BioMed Research International, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/4477534

Abstract:
Introduction. Child obesity is recognized as one of the major public health problems globally, which demands multicomponent and comprehensive interventions. The objective of this systematic review is to evaluate, synthesize, and combine the existing evidence of various setting-based interventions across developed and developing countries that aim to prevent childhood obesity. Methods. An electronic and systematic search was conducted on setting-based interventions related to childhood obesity both in developed and developing countries. A study was considered eligible if it was a randomized controlled trial that focused on home-based, school-based, or community-based intervention for childhood obesity and published in English from 2010 to 2020. A wide range of electronic bibliographic databases, such as PubMed, Medline, Embase, and ERIC were searched. The various studies were carried out among children aged 4-18 years old. A total of 32 studies were identified; out of which 24 were school-based interventions, and the remaining were nonschool-based. Results. The studies in this review highlighted important school and nonschool-based interventions to avoid obesity among children and adolescents. School-based interventions that had considered both physical activity (PA) and diet along with home elements showed great effectiveness. These findings reveal that the specific intervention components such as nutrition education curriculum, prolonged time for PA, and upgrading self-efficacy of study participants should be considered to prevent obesity across developed and developing countries. However, the findings from nonschool-based interventions were restricted by the scarcity of the studies. Conclusion. Multisetting and multipronged strategies are required to avoid or reduce childhood obesity across the globe. However, additional studies are needed with a large sample size. Further study designs based on theory should be conducted in nonschool settings for the creation of meaningful and detailed guidelines that can support the prevention of obesity in children.
Gongwen Xu, Guangyu Jia, Lin Shi, Zhijun Zhang
Computational Intelligence and Neuroscience, Volume 2021, pp 1-8; https://doi.org/10.1155/2021/9590502

Abstract:
Personalized courses recommendation technology is one of the hotspots in online education field. A good recommendation algorithm can stimulate learners’ enthusiasm and give full play to different learners’ learning personality. At present, the popular collaborative filtering algorithm ignores the semantic relationship between recommendation items, resulting in unsatisfactory recommendation results. In this paper, an algorithm combining knowledge graph and collaborative filtering is proposed. Firstly, the knowledge graph representation learning method is used to embed the semantic information of the items into a low-dimensional semantic space; then, the semantic similarity between the recommended items is calculated, and then, this item semantic information is fused into the collaborative filtering recommendation algorithm. This algorithm increases the performance of recommendation at the semantic level. The results show that the proposed algorithm can effectively recommend courses for learners and has higher values on precision, recall, and F1 than the traditional recommendation algorithm.
Hui Fan, Teng Gao, Shuman Liu
Mathematical Problems in Engineering, Volume 2021, pp 1-12; https://doi.org/10.1155/2021/5683525

Abstract:
Information asymmetry between backers and project creators impedes the crowdfunding success. Consequently, creators usually rely on various information to alleviate information asymmetry. Particularly, the location information of both backers and creators embodies their geographic and cultural distance, which may affect crowdfunding project attractiveness. Whereas current literature almost ignores the role cultural distance in crowdfunding, this research focuses on the reward-based crowdfunding, so that it becomes salient to form the appreciation and judgment of the innovative, creative, or artistic nature of projects. Meanwhile, geographic distance is examined to join the debates between flat world hypothesis and home bias proposition. A series of econometric models are examined based on a sample of 264 fundraising projects collected from Kitckstarter.com through Python program. Results show that cultural distance exerts a U-shape effect, which initially impedes the crowdfunding performance but promote projects when large enough. Geographic distance generally exerts insignificant impact on crowdfunding performance. Furthermore, cultural and geographic distance exerts the asymmetric effects on experienced versus new backers. This article underscores the important implications of cultural distance on reward-based crowdfunding. By showing the differential effects of cultural and geographic distance on experience versus new backers, it empirically infers the social capital as the underlying mechanism.
Yuan Cao, Zhi Han, Rui Kong, Canlin Zhang, Qiu Xie
Mathematical Problems in Engineering, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/7227416

Abstract:
Interactive installation art is a kind of art that uses specific software and computer hardware as a platform, a platform for interaction between humans and machines or different people through computer hardware. It is an interactive art that uses material installations in nature as a medium. Traditional interactive installation art is not safe and convenient, in order to solve the shortcomings of traditional interactive installation art. This article introduces artificial intelligence technology by studying the overview, development, and application of artificial intelligence. The encryption algorithm for artificial intelligence data protection and the BP neural network prediction model under artificial intelligence are also introduced to ensure the safety of interactive installation art works. The part also introduces the creation tools and creation process of interactive installation art works. Finally, in the analysis part, a questionnaire analysis of the World Expo is carried out. The results of this article show that the art of connecting inserts is the most complete and open design era. Advances in science and technology, the development of digital art, and the needs of human life have led to the development of interconnected input technologies. In addition, in the survey of people’s satisfaction with artificial intelligence, we can conclude that 89% of people think that the security of artificial intelligence technology is very high. Yes, 92% of people think that artificial intelligence technology has a fast computing speed, 86% of people think that artificial intelligence technology is low in cost.
Tao Zhou, Kui Xu, Chunguo Li, Zhexian Shen
Published: 25 September 2021
Security and Communication Networks, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/9989098

Abstract:
Intelligent reflecting surfaces (IRSs) have significant advantages in enhancing the coverage and reducing the deployment cost of wireless networks. This paper studies an aerial IRS- (AIRS-) enhanced cell-free massive multiple-input multiple-output- (MIMO-) based wireless sensor network (WSN) in which multiple access points (APs) serve several sensor users (SUs). Direct links between the APs and SUs are blocked due to occlusion by tall buildings. Hence, we deploy an AIRS to improve the communication quality of the SUs. Our goal is to minimize the total transmit power of all APs under a given minimum signal-to-interference-plus-noise ratio (SINR) requirement. We propose a joint iterative optimization algorithm by designing an active beamforming mechanism at each AP and a passive beamforming mechanism at the AIRS to solve this problem. Simulation results illustrate the good performance of the proposed method.
Jieying Ding, Han Zhang, Zixian Wu
Published: 25 September 2021
Journal of Oncology, Volume 2021, pp 1-5; https://doi.org/10.1155/2021/2929233

Abstract:
We investigated the diagnostic value of the tumor marker CA724 in patients with primary gastric cancer. One hundred forty-six patients with primary gastric cancer were selected as the observation group; 89 patients with gastritis treated in the same period were included in the control group 1; 91 patients with healthy physical examination during the same period were included in the control group 2. Electrochemiluminescence immunoassay was used to determine the level of carbohydrate antigen CA724 in each group; the pathological data of the observation group were consulted, and the expression level of tumor marker CA724 under different pathological conditions was analyzed; ROC curve was drawn to evaluate the diagnostic value of CA724 in gastric cancer and gastritis. The level of CA724 in primary gastric cancer patients was significantly correlated with tumor diameter, tumor stage, differentiation type, and lymph node metastasis. The ROC curve was drawn with a CA724 cutoff value of 7.94 U/Ml. The AUC value of CA724 in primary gastric cancer patients was 0.815, with a diagnostic sensitivity of 84.68% and a specificity of 71.95%. In conclusion, CA724 was highly expressed in patients with primary gastric cancer, which can achieve the diagnostic differentiation of gastric cancer and gastritis, and obtain a high diagnostic efficiency, providing a reference basis for clinical diagnosis and treatment.
Jie Lin, Bo Liu, Saihua Huang
Discrete Dynamics in Nature and Society, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/5336382

Abstract:
In water governance, the government, downstream residents, and upstream farmers are closely associated stakeholders. The participation willingness of upstream farmers directly bears on the success of environmental policies. Xin’an River Reservoir Water Protection Zone is the second water source region of Hangzhou, China. Taking this region, for example, this paper surveys the willingness to accept compensation of local rice farmers, mainly using Choice Modelling (CM) methodology. This paper assesses the farmers’ willingness of minimum compensation amount to adopt various ecological compensation means and, on this basis, discusses the key factors determining their willingness to accept compensation. It helps to confirm that the farmer participation mainly depends on whether the government could provide satisfactory compensation incentives to cover farmers’ losses. Hence, at the ending of the paper, we call for the relevant departments of the government fully understanding the farmers’ willingness to accept compensation before formulating compensation policies, so that the compensation at least reaches the minimum requirements of farmers. Only in this way could the water source region achieve the optimal efficiency in environmental governance.
Varun Tej Gonuguntla, Parita Soni, Nishil Dalsania, Ravi Karan Patti, Somal Navjot, Seneviratne Chanaka, Yizhak Kupfer
Published: 25 September 2021
Case Reports in Critical Care, Volume 2021, pp 1-4; https://doi.org/10.1155/2021/9932485

Abstract:
Pericardial tamponade results in multiple organ dysfunction and can lead to cardiac arrest. Cardiopulmonary resuscitation (CPR), a life-saving measure performed on patients in cardiac arrest, can lead to thoracic organ damage. However, CPR rarely acts as a therapeutic treatment for pericardial tamponade. Our case describes a patient admitted with pericardial tamponade in whom CPR provided therapeutic treatment with pericardial rupture and resolution of the tamponade.
Rui Xiong, Ruyuan He, Bohao Liu, Wenyang Jiang, Bo Wang, ,
Oxidative Medicine and Cellular Longevity, Volume 2021, pp 1-8; https://doi.org/10.1155/2021/8457521

Abstract:
Ferroptosis is a new type of regulatory cell death that differs from autophagy, apoptosis, necrosis, and pyroptosis; it is caused primarily by the accumulation of iron and lipid peroxides in the cell. Studies have shown that many classical signaling pathways and biological processes are involved in the process of ferroptosis. In recent years, investigations have revealed that ferroptosis plays a crucial role in the progression of tumors, especially lung cancer. In particular, inducing ferroptosis in cells can inhibit the growth of tumor cells, thereby reversing tumorigenesis. In this review, we summarize the characteristics of ferroptosis from its underlying basis and role in lung cancer and provide possible applications for it in lung cancer therapies.
D. Chandra Lekha, R. Shanmugam, K. Madhuri, L. Priyanka Dwarampudi, Mahendran Bhaskaran, Deepak Kongara, Jule Leta Tesfaye, N. Nagaprasad, V. L. Nirmal Bhargavi, Ramaswamy Krishnaraj
Published: 25 September 2021
Journal of Nanomaterials, Volume 2021, pp 1-11; https://doi.org/10.1155/2021/4401829

Abstract:
Silver nanoparticles in the range from 1 to 100 nm are widely used in industrial applications as catalysis, electronics, and photonics, and they have unique properties such as optical, electrical, and magnetic characteristics that can be used as antimicrobial, biosensor textile, cosmetics, composite fibers, and electronic components and to amend shelf life of food substances. The main objective of the present review was to focus on formulation methods of silver nanoparticles with recent advances and future aspects. Silver nanoparticle shows very high potential towards biological applications. Several physicals, chemical, and various biological techniques have been employed to synthesize and stabilize silver nanoparticles. For the manufacture of silver nanoparticles, multiple methods, including chemical simplification with different natural and inorganic decreasing agents, physicochemical reduction, electrochemical procedures, and radiolysis, are employed. Silver nanoparticles are the single most manufacturer-identified material that can be used in all nanotechnology products. They can be used in food packing polymers to enhance the shelf lifespan. The present review is aimed at different types of synthesis and details of silver nanoparticles used as drug delivery vehicles, antibacterial activity, toxicity, recent advances, and future aspects.
Hui-Jie Jiang, Zhi-Peng Cui, Hang Yin, Zhong-Bao Yang
Published: 25 September 2021
Advances in Civil Engineering, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/6654851

Abstract:
Although the realization of building information modeling (BIM) performance is the basis for the generation of user’s satisfaction, few studies have explored the influence path between BIM performance and BIM user’s satisfaction in recent years. Therefore, to enrich the research results of BIM user’s satisfaction and provide reference schemes for engineering practice, this study adopts the fsQCA (fuzzy-set qualitative comparative analysis) method, taking 39 project cases using BIM technology as the base sample to analyze the influence path between BIM performance and user’s satisfaction. Moreover, this study is based on the configuration theory, examining four elements of BIM performance: BIM accuracy, information integration, functional advantages and manager support, and the complexity of the project. Finally, this study identifies three types of configuration results: performance type, support type, and comprehensive type. The performance type can achieve high user satisfaction in relatively complex projects; the support type requires executive support to improve user satisfaction in less complex projects, and the comprehensive type improves satisfaction through multiple BIM performances without considering project complexity.
Yunmei Yuan, Hongyu Li, Lili Ji
Computational Intelligence and Neuroscience, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/5672227

Abstract:
Nowadays, finding the optimal route for vehicles through online vehicle path planning is one of the main problems that the logistics industry needs to solve. Due to the uncertainty of the transportation system, especially the last-mile delivery problem of small packages in uncertain logistics transportation, the calculation of logistics vehicle routing planning becomes more complex than before. Most of the existing solutions are less applied to new technologies such as machine learning, and most of them use a heuristic algorithm. This kind of solution not only needs to set a lot of constraints but also requires much calculation time in the logistics network with high demand density. To design the uncertain logistics transportation path with minimum time, this paper proposes a new optimization strategy based on deep reinforcement learning that converts the uncertain online logistics routing problems into vehicle path planning problems and designs an embedded pointer network for obtaining the optimal solution. Considering the long time to solve the neural network, it is unrealistic to train parameters through supervised data. This article uses an unsupervised method to train the parameters. Because the process of parameter training is offline, this strategy can avoid the high delay. Through the simulation part, it is not difficult to see that the strategy proposed in this paper will effectively solve the uncertain logistics scheduling problem under the limited computing time, and it is significantly better than other strategies. Compared with traditional mathematical procedures, the algorithm proposed in this paper can reduce the driving distance by 60.71%. In addition, this paper also studies the impact of some key parameters on the effect of the program.
Yuancheng Ni, Eryu Zhu
Advances in Materials Science and Engineering, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/9975168

Abstract:
As with the leakage of stray current in the surrounding medium, the chloride transport in concrete is influenced by the stray current and loading of the subway structure. This paper presents the results of the experimental study on the chloride transport properties of concrete under the combined action of stray current and sustained compressive loading. First, an experiment was setup to explore the chloride transport in the subway structure as the concrete specimen embedded with steel under test current and study the influence of the existence of steel on the chloride transport profiles in concrete under stray current. Then, to investigate the combined effect of stray current and loading on the chloride transport properties, an improved experiment was designed with stray current and sustained compressive loading. The chloride transport profiles were measured, respectively, subjected to different stray currents and compressive stress levels. The experimental results indicated that stray current and sustained compressive loading have a significant influence on the chloride transport properties of concrete, and the loading threshold existed as the turning point of the chloride transport rate. Based on the experimental data and migration theory, the prediction model of chloride transport in concrete under stray current and sustained compressive loading was established and verified by the experimental measurements, and the steel corrosion-induced cover cracking was studied, and the comparison indicated that the numerical results were consistent with the experimental results.
Jinhua Liu, Caiping Wang, Xianchun Xiao
Published: 25 September 2021
Mobile Information Systems, Volume 2021, pp 1-10; https://doi.org/10.1155/2021/2074495

Abstract:
This paper analyzes the user needs of the scientific research project management system, expounds the feasibility of information system development, and analyzes the business needs combined with the reality of scientific research project management. In the system level design, combined with the demand analysis of the information system function, the system module is developed in a hierarchical way. The whole system is divided into four layers: (i) core business layer; (ii) data access interface layer; (iii) neighborhood object layer; (iv) data platform. The specific functions include three various modules, i.e., scientific research project information management module, research achievement management module, and scientific research information portal module. In the system software part, the attribute encryption method is used to effectively encrypt the information of scientific and technological projects and to protect the safe sharing of scientific and technological information in colleges and universities. Finally, we look at the limitations of conducting high-quality design-science research in the context of the larger information system community. The experimental results show that the system can perform the corresponding functions effectively, and the data reading integrity is high, which can meet the requirements of the university science and technology project information management.
Yan Niu, Jinmei Ning, Shubo Zhao, Chao Fang
Evidence-Based Complementary and Alternative Medicine, Volume 2021, pp 1-6; https://doi.org/10.1155/2021/2446357

Abstract:
Objective. To explore the differences in clinical characteristics and psychoacoustic indexes of various traditional Chinese medicine (TCM) syndromes in patients with idiopathic tinnitus. Methods. 312 patients with idiopathic tinnitus in our hospital from December 2017 to March 2020 were selected; divided into the wind evil invasion group (n = 61), the liver fire disturbance group (n = 69), the phlegm fire stagnation group (n = 42), the spleen and stomach weakness group (n = 48), and the kidney essence loss group (n = 92) according to the medical syndrome type and the detailed medical history; and clinical characteristics of patients in each group were compared. Results. The kidney essence loss group’s age and course of disease were older and longer than those of other syndrome groups, and the wind evil invasion group’s disease course was shorter than the liver fire disturbance, phlegm fire stagnation, and spleen and stomach weakness groups ( P < 0.05 ). The PSQI score of all patients was higher than 7 points, but there was no obvious difference between the groups ( P > 0.05 ). The SAS score of the liver fire disturbance and the phlegm-fire stagnation groups was higher than that of the wind evil invasion, the spleen and stomach weakness, and the kidney essence loss groups, and the SDS score of the spleen and stomach weakness and the kidney essence loss groups was higher than that of the wind evil invasion, the liver fire disturbance, and the phlegm and fire stagnation groups ( P < 0.05 ). The kidney essence loss group’s total hearing loss rate (92.39%) was higher than the other syndrome groups, and the wind evil invasion group’s total hearing loss rate (8.19%) was lower than the other syndrome groups ( P < 0.05 ); the low to medium frequency tone of tinnitus’s rate in the wind evil invasion group, liver fire disturbance group, and phlegm fire stagnation group was higher than the spleen and stomach weakness group and the kidney essence loss group, but the high frequency tone of tinnitus’s rate was opposite. The tinnitus loudness in these groups was higher than the spleen and stomach weakness and kidney essence loss group ( P < 0.05 ). Conclusion. In addition to the wind evil invasion type, most tinnitus patients may have different levels of psychological disorders. So, in the treatment of idiopathic tinnitus, in addition to the disease itself, paying more attention to the psychological status of the patient is one better therapeutic method. Besides, clinical characteristics and the psychoacoustic indexes of patients with idiopathic tinnitus have a certain correlation with the TCM syndromes.
Saumya Bhutani, Damir Huremovic
Published: 25 September 2021
Case Reports in Psychiatry, Volume 2021, pp 1-5; https://doi.org/10.1155/2021/5520101

Abstract:
Introduction. A shared psychotic disorder is a system of delusions shared by two or more individuals. Shared psychotic disorders typically develop in pairs or groups with a close relationship who are socially isolated. The function and affect of those inflicted with shared psychotic disorders usually remain intact. For these reasons, a shared psychotic disorder is seldom identified, diagnosed, and treated. This case describes a shared psychotic disorder incidentally discovered in a medical unit. Case. The patient was a 47-year-old woman with no known past psychiatric history who had been medically admitted for gastroenteritis. On the day of discharge, a psychiatric consult was requested for “paranoia and bizarre behavior.” The patient was seen making statements that she needed security and the FBI to escort her as she left the hospital. Another person in the patient’s room was discovered to be the patient’s mother who had been staying with her in the hospital. Evaluation of the patient along with observation of her mother revealed that the two shared a complex system of delusions revealing a diagnosis of shared psychotic disorder. Discussion. A shared psychotic disorder is a unique psychiatric diagnosis. It may be even rarer to diagnose in the inpatient medical setting because multiple individuals from a shared system are typically not seen. In this case, the patient and her mother had multiple clinical characteristics of a shared psychotic disorder, including an enmeshed relationship and social isolation. The treatment for shared psychotic disorders involves separation of the individuals and pharmacotherapy with antipsychotics. This case also presented a unique ethical dilemma as the psychiatric team was called to evaluate a patient and found a patient and another individual to have symptoms. Conclusion. A shared psychotic disorder is important to consider on the differential when cases of psychosis with delusional systems are seen on medical floors.
Yana Qin, Danye Wu, Zhiwei Xu, Jie Tian, Yujun Zhang
Mathematical Problems in Engineering, Volume 2021, pp 1-14; https://doi.org/10.1155/2021/9285802

Abstract:
To enhance the quality and speed of data processing and protect the privacy and security of the data, edge computing has been extensively applied to support data-intensive intelligent processing services at edge. Among these data-intensive services, ensemble learning-based services can, in natural, leverage the distributed computation and storage resources at edge devices to achieve efficient data collection, processing, and analysis. Collaborative caching has been applied in edge computing to support services close to the data source, in order to take the limited resources at edge devices to support high-performance ensemble learning solutions. To achieve this goal, we propose an adaptive in-network collaborative caching scheme for ensemble learning at edge. First, an efficient data representation structure is proposed to record cached data among different nodes. In addition, we design a collaboration scheme to facilitate edge nodes to cache valuable data for local ensemble learning, by scheduling local caching according to a summarization of data representations from different edge nodes. Our extensive simulations demonstrate the high performance of the proposed collaborative caching scheme, which significantly reduces the learning latency and the transmission overhead.
Jatoveda Haldar, Rajesh Kamath, Kramer Stallone D’Lima, Jossil Nazareth
Global Health, Epidemiology and Genomics, Volume 2021, pp 1-7; https://doi.org/10.1155/2021/1158533

Abstract:
Community-Based Health Insurance (CBHI) is a form of micro health insurance targeted at low-income groups that permits for grouping of assets to tackle the expenses of future, uncertain, health-related circumstances. According to the International Labour Organisation, more than 80% of India’s employed nonagricultural population is in the informal sector, implying that they are possibly excluded from receiving health insurance benefits. This is where CBHI comes into play, wherein groups of people belonging to a community define the demand and benefits and pool their resources to provide financial protection to all their members. This study aims to scrutinize the package prices sanctioned by these schemes and compare them with the cost incurred by the hospital. The expense pattern of three surgeries in the Department of Obstetrics and Gynaecology was analysed under three insurance schemes: Arogya Bhagya Yojana, Arogya Karnataka, and Employees’ State Insurance Scheme. Methodology. A retrospective study was conducted in a 2,032-bedded tertiary care hospital in South India. Patients of abdominal hysterectomy, vaginal hysterectomy, and caesarean section surgeries covered by any of the insurance schemes mentioned above were a part of the inclusion criteria. The patient records were examined from the hospital’s Medical Records Department (MRD). The patients’ bills were assembled from the inpatient billing department to scrutinize all the expenses associated with each surgery. The variable costs include consumables, medicine, electricity and AC, diagnostics, blood bank materials, doctor’s fee, package differences, and others. In contrast, fixed costs include bed cost, equipment cost (purchase + annual maintenance cost), manpower cost-OT, manpower cost-nursing, and allocated indirect costs associated with the medical treatment. These were computed and compared with the package price of respective insurance schemes to determine if the schemes are profit-yielding schemes or loss-yielding schemes, using the data from the finance department. Results and Conclusion. It has been observed that the operating loss of the hospital for abdominal hysterectomy, vaginal hysterectomy, and caesarean section under CBHI schemes ranges between 7% and 36%. The highest loss was observed in Arogya Karnataka Scheme for caesarean section surgery (BPL patients). The amount received through these schemes is insufficient to cover the costs acquired by the hospital, let alone make a profit. However, under Arogya Bhagya and ESI Schemes, the hospital has made a profit in covering the variable costs for these surgeries. The study concludes that the hospital is running under loss due to the three Community-Based Health Insurance (CBHI) schemes.
Fanuel Laekemariam, Kibebew Kibret
Applied and Environmental Soil Science, Volume 2021, pp 1-9; https://doi.org/10.1155/2021/5556563

Abstract:
Soil acidity is one of the most important environmental threats to the Ethiopian highlands where the livelihood of the majority of people is reliant on agriculture. Yet, information regarding its extent, distribution, causes, and lime requirement at a scale relevant to subsistence farming systems is still lacking. This study (1) investigates the extent and spatial distribution of soil acidity, (2) identifies factors attributing to soil acidification, and (3) predicts the lime requirement for major crops. A total of 789 soil samples were collected from arable lands in the Wolaita area which is mainly characterized by poor soil fertility and soil degradation in southern Ethiopia. Results revealed that the landscape is characterized by a gentle slope followed by strongly sloppy > flat > hilly topographies. Clay is the dominant soil textural class. A soil pH map, which is generated using geospatial analysis, demonstrates that 3.3, 78.0, and 18.7% of the total area were under strongly acidic, moderately acidic, and neutral soil reactions, respectively. The exchangeable acidity (Cmol(+)/kg) varied from nil to 5.1, whereas exchangeable Al ranged from 1.4 to 19.9 Cmol(+)/kg. The soil pH has shown a significantly ( p < 0.001) negative association with clay content (r = −0.33), exchangeable Al (r = −61), exchangeable acidity (r = −0.58), and inorganic fertilizer application (r = −0.33). Increased rates of diammonium phosphate (DAP) (r2 = 0.91) and urea (r2 = 0.88) markedly elevated soil acidity. Conversely, manuring showed a significant ( p < 0.001) and positive relationship with pH (r = 0.37) in which the increasing rate of manure significantly reduced acidification (r2 = 0.98). DAP and urea applications above 75 kg/ha lowered soil pH units by 0.56 and 0.48, respectively, <25 kg/ha while at the same time farmyard manure (FYM) at 4 t/ha raised pH by 0.75 units over the unfertilized field. Residue management significantly ( p < 0.001) influenced soil pH wherein it ranged from 6.09 (complete residue removal) to 6.61 (residue incorporation). Changes in land use, cropping intensity, and socioeconomic status were also significantly attributed to soil acidification. To curb the effects of soil acidity, the lime requirement for common bean growing fields varied from zero to 6.6 t/ha, while for maize it was between zero and 4.3 t/ha. It is concluded that soil management interventions such as maintaining and incorporating crop residues, integrated use of organic and inorganic fertilizers, liming, and enhancing farmers’ awareness should be advocated to overcome soil acidification and improve soil fertility. In addition, introducing crops with traits that tolerate acidity and Al toxicity is also suggested.
, Menghua Zhao
Published: 25 September 2021
Disease Markers, Volume 2021, pp 1-13; https://doi.org/10.1155/2021/9711179

Abstract:
Background. Sorafenib is an anticancer drug used in the treatment of unresectable hepatocellular carcinoma and advanced renal cell carcinoma. It is a substrate for the human OATP1B1. This study is aimed at assessing the role of OATP1B1 in transportation and uptake of sorafenib in hepatocellular carcinoma and how OATP1B1 affects the pharmacodynamics of sorafenib in vitro and in vivo. Methods. Sorafenib transport was measured in HepG2, HepG2-OATP1B1 ∗ 1a, HepG2-OATP1B1 ∗ 1b, HepG2-OATP1B1 ∗ 15, LO2, LO2-OATP1B1 ∗ 1a, LO2-OATP1B1 ∗ 1b, and LO2-OATP1B1 ∗ 15 cells, as well as in HepG2 cells transfected with miR-148a mimics. The viability and apoptosis rate of cells treated with sorafenib were evaluated. A liver cancer rat model was established to explore the pharmacokinetics and pharmacodynamics of sorafenib after overexpression of Oatp2. Results. Changes in expression and genetic mutations of OATP1B1 significantly affected the uptake of sorafenib in HepG2 and LO2 transgenic cells, and the uptake of sorafenib was higher in HepG2 than LO2. Genetic mutations of OATP1B1 significantly affected the cell viability and apoptosis rate of HepG2 cells after sorafenib treatment. Compared to control group, the uptake of sorafenib in miR-148a mimic-transfected HepG2 cells was decreased, and the cell viability was increased. PCN significantly increased the expression of Oatp2 and affected the pharmacokinetics of sorafenib. Vascular endothelial growth factor levels and microvascular density in tumor-adjacent tissues decreased significantly, suggesting that increased Oatp2 expression improves the treatment effect of sorafenib in a rat model of liver cancer. Conclusions. OATP1B1 plays an important role in the pharmacokinetics and pharmacodynamics of sorafenib in hepatocellular carcinoma.
Page of 5,735
Articles per Page
by
Show export options
  Select all
Back to Top Top