Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning by Tiantian Yu, Guiying Wang, Xia Xu, Jianying Yan

“…Based on the GSE98224 dataset, we explored the differentially expressed cuproptosis related genes (DECRGs) and immunological composition. …”
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Novel Genomic Aberrations in Testicular Germ Cell Tumors by Array-CGH, and Associated Gene Expression Changes by Rolf I. Skotheim, Reija Autio, Guro E. Lind, Sigrid M. Kraggerud, Peter W. Andrews, Outi Monni, Olli Kallioniemi, Ragnhild A. Lothe

“…Materials and Methods: To determine the detailed DNA copy number changes, and investigate their impact on gene expression levels, we performed an integrated microarray profiling of TGCT genomes and transcriptomes. …”
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Perforin-2 is dispensable for host defense against Aspergillus fumigatus and Candida albicans by Mariano A. Aufiero, Li-Yin Hung, De'Broski R. Herbert, Tobias M. Hohl

“…However, the molecular mechanisms underlying fungal clearance by phagocytes remain incompletely understood. In this study, we investigated the role of Perforin-2 (Mpeg1) in antifungal immunity. …”
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Predicting nonequilibrium Green’s function dynamics and photoemission spectra via nonlinear integral operator learning by Yuanran Zhu, Jia Yin, Cian C Reeves, Chao Yang, Vojtěch Vlček

“…We utilize RNNs to learn the nonlinear mapping between Green’s functions and convolution integrals in KBEs. …”
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A ribodepletion and tagging protocol to multiplex samples for RNA-seq based virus detection: application to the cassava virome by Daniel H. Otron, Justin S. Pita, Murielle Hoareau, Fidèle Tiendrébéogo, Jean-Michel Lett, Pierre Lefeuvre

“…We evaluated the protocol on a series of cassava samples with a known assemblage of viruses. …”
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Comparing the effectiveness, safety and tolerability of interventions for depressive symptoms in people with multiple sclerosis: a systematic review and network meta-analysis proto... by Amalia Karahalios, Allan G Kermode, Yvonne C Learmonth, Julia Lyons, Stephanie Campese, Alexandra Metse, Claudia H Marck

“…The comparative efficacy and safety of intervention modalities have not been quantified.We plan to conduct a systematic review and network meta-analysis to compare efficacy and safety of psychological, pharmaceutical, physical and magnetic stimulation interventions for depression in people with MS.Methods and analysis We will search EMBASE, Medline, Cochrane CENTRAL, APA PsycINFO, Web of Science, CINAHL and PEDro from inception to 31 December 2021. …”
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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. Finally, We analyzed the molecular pathways of CXCR4 in DFUs by Gene set enrichment analysis (GSEA).ResultsWe identified a total of 751 differential genes, of which 409 genes were significantly upregulated and 342 genes were downregulated in diabetic foot ulcer tissues. …”
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GADD45β Determines Chemoresistance and Invasive Growth of Side Population Cells of Human Embryonic Carcinoma by Toshihiko Inowa, Keiichi Hishikawa, Yumi Matsuzaki, Takayuki Isagawa, Takumi Takeuchi, Hiroyuki Aburatani, Tadaichi Kitamura, Toshiro Fujita

“…To further characterize the NEC8 SP cells, we used DNA microarrays. Among 38,500 genes, we identified 12 genes that were over-expressed in SP cells and 1 gene that was over-expressed in non-SP cells. …”
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Therapeutic Approaches in Mitochondrial Dysfunction, Inflammation, and Autophagy in Uremic Cachexia: Role of Aerobic Exercise by Yumei Zhang, Yuqing Liu, Xiao Bi, Chun Hu, Feng Ding, Wei Ding

“…Muscle wasting was determined based on grip strength, cross-sectional area (CSA), and MyHC protein expression. We also measured mitochondrial dysfunction in mice by assessing mtDNA, ROS, ATP production, and mitochondrial configuration. …”
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Suicide mortality among individuals in federal prisons compared with the general population: a retrospective cohort study in the USA from 2009 to 2020 by Lauren Brinkley-Rubinstein, Katherine LeMasters, Shabbar Ranapurwala, Mike Dolan Fliss, Michael Forrest Behne, Emilie Duchesneau, Jennifer Lao

“…We tested for linear trends over calendar year in each population.Results In federal prisons, 245 deaths were reported as suicides from 2009 to 2020 (5% of federal prison deaths). …”
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The transcription factor dFOXO controls the expression of insulin pathway genes and lipids content under heat stress in <i>Drosophila melanogaster</i> by M. A. Eremina, P. N. Menshanov, O. D. Shishkina, N. E. Gruntenko

“…We found that neither mutation influenced dfoxo expression and its uprise under short-term heat stress, but both of them disrupted the stress response of the dilp6 and dInR genes. …”
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Finding Lensed Radio Sources with the Very Large Array Sky Survey by Michael N. Martinez, Yjan A. Gordon, Keith Bechtol, Gillian Cartwright, Peter S. Ferguson, Miranda Gorsuch

“…We obtain high-resolution (0 $\mathop{.}\limits^{\unicode{x02033}}$ 2) VLA follow-up observations for 11 targets that we identify using three different techniques: (i) a search for compact radio sources offset from galaxies with high lensing potential, (ii) VLASS detections of known lensed galaxies, and (iii) VLASS detections of known lensed quasars. …”
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Analysis of 42 Years of Cosmic Ray Measurements by the Neutron Monitor at Lomnický štít Observatory by Imre Kisvárdai, Filip Štempel, Lukáš Randuška, Šimon Mackovjak, Ronald Langer, Igor Strhárský, Ján Kubančák

“…As part of the selection of events for case studies, we report the discovery of TGE‐s visible in the data. …”
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Automated skin lesion detection and prevalence estimation in Tamanend's bottlenose dolphins by Colin J. Murphy, Melissa A. Collier, Ann-Marie Jacoby, Eric M. Patterson, Megan M. Wallen, Janet Mann, Shweta Bansal

“…Manually, we do find that lesion presence in individuals suggests a positive relationship between lesion presence and gregariousness. …”
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A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest by S.N. Ferdous, J.P. Ahire, R. Bergman, L. Xin, E. Blanc-Betes, Z. Zhang, J. Wang

“…First, we extracted temporal features using the Prophet Forecasting model. …”
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Tumor Necrosis Factor (TNF) Receptor Expression Determines Keratinocyte Fate upon Stimulation with TNF-Like Weak Inducer of Apoptosis by Xuening Wang, Dan Cheng, Guanglei Hu, Lili Liang, Fei Tan, Tong Xiao, Shengxiang Xiao, Yumin Xia

“…Additionally, we found that TRAF2 exhibited binding to Fn14, cIAP1, and TNFR1/2. …”
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Oral Immunisation With Non‐GMO Surface Displayed SARS‐CoV‐2 Spike Epitopes on Bacteria‐Like Particles Provokes Robust Humoral and Cellular Immune Responses, and Modulated the Gut M... by Robie Vasquez, Ji Hoon Song, Remilyn M. Mendoza, In‐Chan Hwang, Bernadette B. Bagon, Lars Engstrand, Valerie Diane Valeriano, Dae‐Kyung Kang

“…After that, we evaluated its efficacy to induce immune responses in immunocompetent mice. …”
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FPGA-Based Distributed Union-Find Decoder for Surface Codes by Namitha Liyanage, Yue Wu, Siona Tagare, Lin Zhong

“…The Union-Find (UF) decoder is promising with an average time complexity slightly higher than <inline-formula><tex-math notation="LaTeX">$O(d^{3})$</tex-math></inline-formula>. We report a distributed version of the UF decoder that exploits parallel computing resources for further speedup. …”
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Hypertension and Its Associated Risk Factors in the Kingdom of Saudi Arabia, 2013: A National Survey by Charbel El Bcheraoui, Ziad A. Memish, Marwa Tuffaha, Farah Daoud, Margaret Robinson, Sara Jaber, Sarah Mikhitarian, Mohammad Al Saeedi, Mohammad A. AlMazroa, Ali H. Mokdad, Abdullah A. Al Rabeeah

“…Current data on hypertension in the Kingdom of Saudi Arabia are lacking. We conducted a national survey to inform decision-makers on the current magnitude of the epidemic. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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