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V A Faerman, A V Tsavnin, S A Andreev
IOP Conference Series: Materials Science and Engineering, Volume 1019; doi:10.1088/1757-899x/1019/1/012084

Abstract:
The paper dedicated to vibration measurement system development on the Raspberry Pi basis. Main features of the solution are low-cost, easy access to components and functionality and flexibility provided by Raspberry Pi usage. Circuit solution and configuring procedures are presented and described. In particular, block diagram of the vibration measurement system with piezo-electric sensors. Two variants of the vibration measurement system, on the Raspberry Pi B+ and Raspberry Pi 3B correspondingly, were implemented and tested as well. In addition, two variants of impedance-matching device were implemented. Conducted and described experiments confirm performance both separate components and the whole solution. Presented results are applicable for correlation leak detectors new algorithmic solutions and in educational process.
Murli Desai
Child Welfare, Protection, and Justice; doi:10.1017/9781108963787

I Borisova , V Legkiy
IOP Conference Series: Materials Science and Engineering, Volume 1019; doi:10.1088/1757-899x/1019/1/012058

Abstract:
The method of image fusion for images of the same scene obtained in different spectral ranges with the formation of an integrated monochrome image is considered. The fusion method is based on the wavelet decomposition of the original images. A strategy for fusing detail coefficients by comparing the proportions of their magnitudes for all original images is proposed. The fusion procedure does not require any thresholds. The algorithm does not introduce additional distortions and collects all the necessary information from the original images. The proposed algorithm can be used in optoelectronic systems for automatic image processing.
L E Velikovskiy, P E Sim, O I Demchenko, N E Kurbanova, I A Filippov, A V Sakharov, W V Lundin, E E Zavarin, D A Zakheim, D S Arteev, et al.
IOP Conference Series: Materials Science and Engineering, Volume 1019; doi:10.1088/1757-899x/1019/1/012071

Abstract:
High electron mobility transistors (HEMTs) technologies based on AlGaN/GaN and InAlN/GaN heterostructures have been developed. The research focused on influence of epitaxial growth conditions and buffer doping profiles on electrical properties HEMTs. An output power density of 4W/mm at 17 GHz was demonstrated for InAlN/GaN HEMTs and 7W/mm at 10 GHz for AlGaN/GaN HEMTs.
Kyle J. Gardner
The Frontier Complex pp 233-250; doi:10.1017/9781108886444.009

Robert Knox, Amanda Alexander, Alison Duxbury, Mai Taha, Scott Newton, Owen Taylor, Dino Kritsiotis, Juan Pablo Scarfi, Fabia Fernandes Carvalho Veçoso, Kate Miles, et al.
Revolutions in International Law; doi:10.1017/9781108860727

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Min Yuen Teo, Hikmat Al-Ahmadie , Kenneth Seier, Christopher Tully, Ashley M. Regazzi, Eugene Pietzak, David B. Solit , Satish Tickoo, Victor Reuter, Eugene K. Cha, et al.
British Journal of Cancer pp 1-8; doi:10.1038/s41416-020-01244-2

Abstract:
Plasmacytoid urothelial carcinoma (PUC) is a rare, aggressive histologic variant of urothelial cancer characterised by a diffuse growth pattern and CDH1 mutation. We studied the efficacy of preoperative platinum-based chemotherapy in nonmetastatic PUC and immune checkpoint inhibitors (ICIs) in advanced PUC. Cases of nonmetastatic PUC and advanced PUC treated with ICIs at our institution were identified. Outcomes were compared to those of a published cohort of patients with urothelial carcinoma not otherwise specified. We identified 81 patients with nonmetastatic PUC. Of the patients with localised disease who underwent neoadjuvant chemotherapy, pathologic complete response and downstaging rates were 12 and 21%, respectively. Pathologic downstaging was not associated with significant improvement in clinical outcomes. Up to 18% of localised disease and 28% of locally advanced cases had unresectable disease at the time of surgery. ICI-treated advanced PUC (N = 21) had progression-free and overall survival of 4.5 and 10.5 months, respectively, and a 38% response rate. FGFR3 and DNA damage response gene alterations were observed in 3 and 15% of cases, respectively. PUC is associated with high disease burden and poor chemosensitivity. Increased awareness and recognition of this disease variant will allow for new treatment strategies.
Ganesh Pai Bellare, Bhaskar Saha, Birija Sankar Patro
British Journal of Cancer pp 1-15; doi:10.1038/s41416-020-01238-0

Abstract:
Poly(ADP-ribose) polymerase inhibitors (PARPi) target tumours defective in homologous recombination (HR). Most BRCA-wild-type (WT) HR-proficient breast cancers are intrinsically resistant to PARP inhibitors, e.g., talazoparib. We evaluated the role of autophagy in this de novo resistance and determined the underlying mechanism to overcome this. Autophagosome formation and autophagic flux were assessed by evaluating endogenous LC3-II levels and ectopic expression of EGFP-LC3 and mRFP-EGFP-LC3 in breast cancer cells. Autophagy-defective cells were generated by genetic depletion of BECN1, ATG5, p62/SQSTM1 and LAMP1 by using CRISPR-Cas9 double nickase system. The response of PARPi was evaluated in autophagy-proficient and -defective breast cancer cells and in xenograft SCID-mice model. Pro-survival autophagy was significantly enhanced upon talazoparib treatment in BRCA-WT breast cancer cell lines. Autophagy-deficient cells were hypersensitive to talazoparib. Targeting autophagy synergistically enhanced the therapeutic efficacy of talazoparib in BRCA1-WT breast cancer cells in vitro and in vivo xenograft tumour mouse model. Mechanistically, autophagy inhibition by chloroquine promoted deleterious NHEJ mediated DSB-repair, leading to extensive genomic instability and mitotic catastrophe. Autophagy confers de novo resistance to PARP inhibitor, talazoparib. Autophagy inhibition improves the therapeutic outcome of PARPi treatment in preclinical mice model, bearing HR-proficient breast tumours, warranting its usage in the clinical settings.
Jack Wilkinson , Andy Vail, Stephen A. Roberts
Diagnostic and Prognostic Research, Volume 5, pp 1-13; doi:10.1186/s41512-020-00091-2

Abstract:
In vitro fertilisation (IVF) comprises a sequence of interventions concerned with the creation and culture of embryos which are then transferred to the patient’s uterus. While the clinically important endpoint is birth, the responses to each stage of treatment contain additional information about the reasons for success or failure. As such, the ability to predict not only the overall outcome of the cycle, but also the stage-specific responses, can be useful. This could be done by developing separate models for each response variable, but recent work has suggested that it may be advantageous to use a multivariate approach to model all outcomes simultaneously. Here, joint analysis of the sequential responses is complicated by mixed outcome types defined at two levels (patient and embryo). A further consideration is whether and how to incorporate information about the response at each stage in models for subsequent stages. We develop a case study using routinely collected data from a large reproductive medicine unit in order to investigate the feasibility and potential utility of multivariate prediction in IVF. We consider two possible scenarios. In the first, stage-specific responses are to be predicted prior to treatment commencement. In the second, responses are predicted dynamically, using the outcomes of previous stages as predictors. In both scenarios, we fail to observe benefits of joint modelling approaches compared to fitting separate regression models for each response variable.
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