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Ashley Piccone
Published: 31 December 2021
Scilight, Volume 2021; https://doi.org/10.1063/10.0009185

Abstract:
Using streptavidin-biotin as the acceptor-donor linkage makes FRET lasers more robust and efficient.
Gülbün Baydur
Turk Kutuphaneciligi - Turkish Librarianship, Volume 35, pp 29-30; https://doi.org/10.24146/tk.1033616

Abstract:
Mesai arkadaşım ve dostum sevgili Sezen Tan için yazdığım anı mektubudur, ışıklar içinde uyusun.
Saba A. Saeed, Dunya E. Al-Mammar
iraq journal of market research and consumer protection, Volume 13, pp 10-31; https://doi.org/10.28936/jmracpc13.2.2021.(2)

Abstract:
This study examined the adsorption behavior of anionic dye (orange G) from aqueous solution onto the raw and activated a mixture of illite, kaolinite and chlorite clays from area of Zorbatiya (east of Iraq).The chemical treatment involved alkali and acid activation. The alkali activation obtained by treated the raw clay (RC) with 5M NaOH (ACSO) and the acid activation founded by treated it with 0.25M HCl (ACH) and 0.25M  (ACS). The thermal treatment carried out by calcination the produce activated clay at 750oC for acid activation and 105oC for alkali activation. Batch adsorption method was used to study the adsorption of orange G dye onto raw and activated clays. The impact of different factors related to the adsorption process was studied such as: agitation time, clay dosage, solution pH, starting OG dye concentration, temperature and ionic strength. The adsorption process was described by using Langmuir, Freundlich, Temkin and Dubinin-Raduchkevish isotherm models. Thermodynamic functions like change in enthalpy, change in entropy  and change in Gibbs free energy were estimated based on Vanʼt Hoff equation.
Ch Van Heerden
African Journal of Hospitality, Tourism and Leisure, Volume 10, pp 1794-1810; https://doi.org/10.46222/ajhtl.19770720.193

Abstract:
The aim of this study is to gain scientific insight into internationally-accepted criteria for quality reporting of mixed methods research (MMR). Articles published post-2012 in a particular journal, which referred to “mixed methods” and “tourism”, and reported that qualitative and quantitative data were collected, were drawn from Google Scholar and Scopus. The reporting quality of these studies was analysed according to the GRAMMS framework (Good Reporting of a Mixed Methods Study). Most of the articles in the data set did not report on all the elements embedded in GRAMMS. It must not be seen as a reflection of the quality of the MMR design itself, nor is the study flawed. It indicates gaps in the reporting of important MMR elements that could be addressed in future research. Exemplars were identified that could serve as case studies for researchers in terms of the quality of reporting on MMR. Editorial boards should adopt guidelines on how MMR could be presented in articles submitted to their journals. These guidelines could assist authors in preparing their articles to conform to international standards on the reporting of MMR studies. Peer reviewers should use the guidelines to judge the quality of reporting on MMR methodology in articles under review. This study could also serve as a future reference for researchers, postgraduate students and supervisors who aim to incorporate MMR in their research.
Hye-Rin Kwon, A-Young Gil, Ji-Min Kim, Ji-Seon No, Ga-Bin Park, Ji-Yune Oh, Na-Kyung Lee, Seol-Hee Kim
Journal of Dental Hygiene Science, Volume 21, pp 233-242; https://doi.org/10.17135/jdhs.2021.21.4.233

, Helen Louise Storr
Annals of Pediatric Endocrinology & Metabolism, Volume 26, pp 218-226; https://doi.org/10.6065/apem.2142208.104

Abstract:
Determining the pathogenesis of pediatric growth disorders is often challenging. In many cases, no pathogenesis is identified, and a designation of idiopathic short stature is used. The investigation of short stature requires a combination of clinical, endocrinological, and genetic evaluation. The techniques used are described, with equal importance being given to each of the 3 approaches. Clinical skills are essential to elicit an accurate history, family pedigree, and symptoms of body system dysfunction. Endocrine assessment requires hormonal determination for the diagnosis of hormone deficiency and initiation of successful replacement therapy. Genetic analysis has added a new dimension to the investigation of short stature and now uses next-generation sequencing with a candidate gene approach to confirm probable recognizable monogenic disorders and exome sequencing for complex phenotypes of unknown origin. Using the 3 approaches of clinical, endocrine, and genetic probes with equal status in the hierarchy of investigational variables provides the clinician with the highest chance of identifying the correct causative pathogenetic mechanism in a child presenting with short stature of unknown origin.
Prachi Juneja
International Journal of Research in Medical Sciences & Technology, Volume 12; https://doi.org/10.37648/ijrmst.v11i02.001

Abstract:
The objective of our work is to take apart unique data mining methods and procedures in the healthcare system that can use an assumption for coronary disease structure and their impact investigation. A coronary disease prediction model, which executes the data mining method, can help the therapeutic experts perceive the coronary sickness status subject to the patient's clinical data. Data mining description techniques for the great fundamental initiative in human system are specifically Decision trees, Naive Bayes, Neural Networks and Support Vector Machines. Hybridizing or merging any of these calculations makes decisions snappier and assigned dynamically. Information mining is a notable new improvement for extracting hypermetropic and critical information from enormous data sets to build significant and novel encounters. Using impelled data mining systems to extract essential information has been considered a fanatic method to improve human management organization's quality and precision while trimming down the social protection cost and execution time. Using this technique can expect the early detection of coronary disease. Using more information properties, for instance, could develop controllable and natural danger factors, progressively detailed results. Can also broaden this strategy. It can use an extensive part of data properties. Other data mining strategies use for forecasts, such as clustering, time series plan, and association rules. The unstructured data open in the human system industry information base can mine using content mining.
Piyaporn Phansak, Supatcharee Siriwong, Nantawan Kanawapee, Kanjana Thumanu, Wuttichai Gunnula,
Published: 31 December 2021
Acta Agrobotanica, Volume 74; https://doi.org/10.5586/aa.7421

Abstract:
Drought isa major constraint in many rainfed areas and affects rice yield. We aimed to characterize the physiological changes in rice in response to drought using Fourier transform infrared (FTIR) spectroscopy. Eighty rice landrace seedlings were subjected to drought in the greenhouse using a PEG 6000. Physiological parameters, including total chlorophyll content, relative water content, electrolyte leakage, and biochemical changes were evaluated. Based on the FTIR results, the landraces were divided into three main groups: tolerant, moderately tolerant, and susceptible. Principal component analysis revealed spectral differences between the control and drought stress treatment groups. Lipid, pectin, and lignin content increased after drought stress. The biochemical components of plants at different drought tolerance levels were also compared. The lipid (CH2 and CH3), lignin (C=C), pectin (C=O), and protein (C=O, N–H) contents were the highest in the drought-tolerant cultivars, followed by the moderately tolerant and susceptible cultivars, respectively. Cultivar 17 and 49 were the most tolerant, and the functional groups were identified and characterized using FTIR. Overall, these results will be useful in selecting parental cultivars for rice breeding programs.
Sam Muijnck, Joris Tieleman
Published: 31 December 2021
Economy Studies pp 297-440; https://doi.org/10.1515/9789048552801-007

Markus Köck
Stardesigner oder Gestalter des Alltäglichen? pp 13-18; https://doi.org/10.1515/9783839459607-002

Guido Graf, Ralf Knackstedt, Kristina Petzold
Rezensiv - Online-Rezensionen und Kulturelle Bildung pp 339-352; https://doi.org/10.1515/9783839454435-023

Barbara Balba Weber
Das Konzertpublikum der Zukunft pp 139-158; https://doi.org/10.1515/9783839452769-010

Ralf Knackstedt, Guido Graf, Kristina Petzold, Ulrich Heid
Rezensiv - Online-Rezensionen und Kulturelle Bildung pp 123-142; https://doi.org/10.1515/9783839454435-009

Giedrė Tamoliūnė, Justina Naujokaitienė, Airina Volungevičienė, Elena Trepulė, Rita Misiulienė, Rasa Greenspon
Learning Analytics: a Metacognitive Tool to Engage Students pp 7-42; https://doi.org/10.2478/9788366675643-002

Airina Volungevičienė, Justina Naujokaitienė, Giedrė Tamoliūnė, Josep M. Duart
Learning Analytics: a Metacognitive Tool to Engage Students pp 171-179; https://doi.org/10.2478/9788366675643-006

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