Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation by Jiaqi Li, Sulaiman Yiming, Wenxin Zheng, Weiwei Wu, Jingdong Bi, Fengming Li, Mengting Zhu

“…Selection signal analysis, gene annotation, and enrichment analysis led to the identification of potential functional SVs associated with reproductive traits, including FSHR, ADCY5, and MTNR1A. …”
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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…The methodological basis of the work is general scientific research methods, such as empirical and theoretical methods, as well as systemic and functional methods. This study applied VOSviewer tools, Web of Science and Scopus analysis tools, and Google Trends to conduct a bibliometric analysis of the impact of energy factors on public health. …”
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Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation. by Alexandra Dumitriu, Jeanne C Latourelle, Tiffany C Hadzi, Nathan Pankratz, Dan Garza, John P Miller, Jeffery M Vance, Tatiana Foroud, Thomas G Beach, Richard H Myers

“…These results implicate FOXO1 as a PD-relevant gene and warrant further functional analyses of its transcriptional regulatory mechanisms.…”
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Comparison of Multiple-Choice Question Formats in a First Year Medical Physiology Course by L. Britt Wilson, Christine DiStefano, Huijuan Wang, Erika L. Blanck

“…Classical test theory item analysis indices, e.g. discrimination (D), point-biserial correlation (rpbis), distractor analysis for non-functional distractors (NFDs), and difficulty (p) were determined and compared across MCQ format types. …”
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A multi-tissue atlas of allelic-specific expression reveals the characteristics, mechanisms, and relationship with dominant effects in cattle by Jiaqi Li, Lei Xu, Xiaoyun Liang, Letian Li, Frederic Farnir, Xixia Huang, Qiuming Chen

“…Additionally, we explored the mechanisms driving ASE through integration with epigenomic data and examined the relationship between ASE and dominance effects on gene expression and milk-related traits in Holstein cattle. …”
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Identification of Ferroptosis‐Related Gene in Age‐Related Macular Degeneration Using Machine Learning by Meijiang Zhu, Jing Yu

“…Methods A total of 41 samples of AMD and 50 normal samples were obtained from the data set GSE29801 for differential gene expression analysis and functional enrichment. …”
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Characteristics of immune-active and immune-silent phenotypes of early-stage cervical carcinoma as revealed by transcriptome sequencing by O. V. Kurmyshkina, P. I. Kovchur, T. O. Volkova

“…Transcriptomic profiles were analyzed with the use of bioinformatics tools, such as gene set enrichment (GAGE) for signaling pathways, xCell enrichment for cell composition identification, and PREDA positional analysis of genomic data. Hierarchical clustering revealed heterogeneity of transcriptomic profiles within the early-stage CeCa, namely, the existence of two clusters of tumor samples and three functional patterns of genes showing coordinately altered expression. …”
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Association between anxiety and non-coding genetic variants of the galanin neuropeptide. by Gergely Keszler, Zsuzsanna Molnár, Zsolt Rónai, Mária Sasvári-Székely, Anna Székely, Eszter Kótyuk

“…Linkage disequilibrium (LD) analysis was used to map two haploblocks in the analyzed region.…”
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The Potential Biological Roles and Clinical Significance of Anaphase-Promoting Complex Subunit 1 in Colorectal Cancer by Yi Chen MD, Yu-Xing Tang MD, Da-Tong Zeng MD, Jia-Ying Wen MD, Yan-Ting Zhan MD, Dong-Ming Li MD, Rong-Quan He MD, Zhi-Guang Huang MD, Yu-Zhen Chen MD, Qiu-Yu Wei MD, Gang Chen PhD, Yu-Lu Tang MD, Hui Li MD

“…It also incorporated evidence from immune infiltration analysis, functional enrichment analysis, and weighted gene co-expression network analysis to explore the biological behaviour of ANAPC1 in CRC. …”
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ITGAV as a promising diagnostic, immunological, and prognostic biomarker in pan-cancer by Hanyang Su, Jie Wang, Xinyu Cao, Xiangqian Zhang, Huajun Zhang, Xiaojin Liu

“…We conducted an integrative pan-cancer analysis of ITGAV using data from TCGA, GTEx, CCLE, and other public databases. …”
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Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry by Valeria Di Stefano, Martina D’Angelo, Francesco Monaco, Annarita Vignapiano, Vassilis Martiadis, Eugenia Barone, Michele Fornaro, Luca Steardo, Marco Solmi, Mirko Manchia, Luca Steardo

“…Recent advancements in functional magnetic resonance imaging (fMRI) and artificial intelligence (AI) have revolutionized the understanding and management of this condition. …”
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Aptamers for the diagnosis and treatment of human glial tumors by T. N. Zamay, M. A. Dymova, A. A. Narodov, A. A. Koshmanova, D. S. Grek, I. I. Voronkovskii, A. K. Gorbushin, A. S. Kichkailo, E. V. Kuligina, V. A. Richter, R. А. Zukov

“…The relevant literature sources were searched in scopus, Web of science, pubmed, elibrary with inclusion of publications from 2000 to 2023. sixty articles are presented in the review.Results. The analysis of the literature devoted to classification, diagnostics and therapy of brain glioblastomas was carried out and the feasibility of using for in vivo diagnostics and therapy of this disease aptamers, which are molecular recognition elements based on DNA/RNA oligonucleotides, capable of binding to the given molecular targets and distinguishing even separate functional groups in them, was studied. …”
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A map of human cancer signaling by Qinghua Cui, Yun Ma, Maria Jaramillo, Hamza Bari, Arif Awan, Song Yang, Simo Zhang, Lixue Liu, Meng Lu, Maureen O'Connor‐McCourt, Enrico O Purisima, Edwin Wang

“…We further characterized an overall picture of the cancer‐signaling architectural and functional organization. From the network, we extracted an oncogene‐signaling map, which contains 326 nodes, 892 links and the interconnections of mutated and methylated genes. …”
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Patient-Reported Outcome Scores Are Comparable When Administered at Home or in Clinic Following Hip Preservation Surgery by Bill Garrett Bodine, M.D., Ashley L. Kapron, Ph.D., Benjamin T. Johnson, B.S., Travis G. Maak, M.D., Justin J. Ernat, M.D., Stephen K. Aoki, M.D.

“…Purpose: To determine if the setting of administration (home vs clinic) results in significant differences in patient scores from questionnaires assessing hip and general physical function in a hip preservation patient population. …”
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Hole-Phonon Relaxation and Photocatalytic Properties of Titanium Dioxide and Zinc Oxide: First-Principles Approach by V. P. Zhukov, V. G. Tyuterev, E. V. Chulkov, P. M. Echenique

“…This conclusion in turn helps to elucidate the origin of the spectral dependence of the photocatalytic activity of TiO2. Analysis of the analogous data for ZnO shows that in this material spectral dependence of photocatalytic activity in the oxidative reactions is unlikely.…”
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The mediating roles of obesity indicators and serum albumin in the association of DEET exposure with depression and sleep disorders in adults: evidence from NHANES 2007-2016 by Huangxin Zhu, Ruyi Tao, Qingyun Yu, Miao Yu, Yue Zhou, Qingan Fu

“…Sensitivity analysis enhanced the robustness of the results. Conclusion DEET exposure is associated with an increased risk of depression and sleep disorders, mediated by obesity and liver function indicators. …”
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Insights into the Heat Shock Protein 70 (Hsp70) Family in <i>Camelina sativa</i> and Its Roles in Response to Salt Stress by Parviz Heidari, Sadra Rezaee, Hadiseh Sadat Hosseini Pouya, Freddy Mora-Poblete

“…An analysis of transcriptome data exposed to cold, drought, salinity, and cadmium stress demonstrated the varied expression profiles of <i>CsHsp70</i> genes. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“… The subject of the article is feature selection techniques that are used on data preprocessing step before building machine learning models. …”
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Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…A Gaussian negative log-likelihood loss function is employed for training to optimize uncertainty prediction performance. …”
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A Predictive Model for Estimating Reservoir Impounding Time Based on the Net Inflow and Storage Volume by Harimukti Rosita R., Pitojo T. Juwono, Lily M. Limantara, Emma Yuliani

“…The research begins with a review of elevation data recorded during the impounding process across selected reservoirs. …”
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