Comprehensive analysis of long non-coding RNA and mRNA expression patterns during seminiferous tubules maturation in Guanzhong dairy goats by Fa Ren, Que Zhang, Yu Jiang, Wenling Xie, Pengyun Qiao, Jianhong Hu

“…Abstract Background Long non-coding RNAs (lncRNAs) play crucial roles in testicular development and spermatogenesis. …”
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Unlocking the genetic code: a comprehensive Genome-Wide association study and gene set enrichment analysis of cell-mediated immunity in chickens by Somayeh Kianpoor, Alireza Ehsani, Rasoul Vaez Torshizi, Ali Akbar Masoudi, Mohammad Reza Bakhtiarizadeh

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Assessment of the genetic diversity of the alleles of gliadin-coding loci in common wheat (<i>Triticum aestivum</i> L.) collections in Kazakhstan and Russia by M. U. Utebayev, S. M. Dashkevich, O. O. Kradetskaya, I. V. Chilimova, N. A. Bome

“…The study of genetic resources using prolamin polymorphism in wheat cultivars from countries with different climatic conditions makes it possible to identify and trace the preference for the selection of the alleles of gliadine-coding loci characteristic of specific conditions. …”
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Targeting NUCKS1 with a fragment of tRNAAsn(GUU) of Chinese yew for the treatment of colorectal cancer by Kai-Yue Cao, Da Zhang, Long-Bo Bai, Tong-Meng Yan, Yan Chen, Yu-Yang Jiang, Zhi-Hong Jiang

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Statement on the revised targeted risk assessment for certain maximum residue levels for nicotine by European Food Safety Authority (EFSA)

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Insights into the role of Nrf2 in vitiligo pathogenesis: a target for herbal medicine by Abdel Qawasmeh, Mohammad Qaisiya, Areej Ishnaiwer, Dana Khdour, Shoroq Shawar, Seema Fallah, Duha Hashlamon, Hanadi Sinokrot, Alaa Kharaiwesh

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MKDESIGNER and TASEQ: a set of tools for plant genotyping by targeted amplicon sequencing by Koki Chigira, Masanori Yamasaki, Taiichiro Ookawa

“…Abstract Background Targeted amplicon sequencing (TAS) is a high-throughput genotyping method in which markers can be designed at desired positions. …”
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Investigating potential drug targets for the treatment of glioblastoma: a Mendelian randomization study by Hongwei Zhang, Zixuan Wang, Xiaolong Qiao, Jiaxing Wu, Chuandong Cheng

“…Using transcriptomic data from The Cancer Genome Atlas (TCGA), we identified 2,528 differentially expressed genes, including GPX7 and CXCL10. eQTL-MR analysis identifies GBM-associated differentially expressed genes and constructs a protein–protein interaction (PPI) network.Integrating pQTL data from the deCODE database, pQTL-MR, and colocalization analyses validated the therapeutic potential of GPX7 and CXCL10.These findings provide new perspectives on GBM biology and suggest actionable targets for therapy. …”
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An air target intention data extension and recognition model based on deep learning by Bo Cao, Qinghua Xing, Longyue Li, Weijie Lin

“…The model mainly consists of two parts: intention data generation and intention recognition. First, the air target intention recognition problem is analyzed in detail, and the air target intention space and feature set are constructed and coded uniformly. …”
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Therapeutic targets for venous thromboemblism: proteome-wide mendelian randomization and colocalization analyses by Xiaolong Li, Cheng-hao Yang, Min Zhou, Min-yi Yin

“…Abstract Background Venous thromboembolism (VTE) is a significant global health issue, yet effective therapeutic targets for its prevention and treatment remain elusive. …”
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Identification of prospective novel drug targets for immune thrombocytopenia by integrating plasma proteome by Wei He, Jingcheng Zhang, Mingzhe Zhao, Jinyong Fang, Fang He, Caifang Zhao

“…Data sets from the deCODE project and eQTLGen consortium were used to perform replication analysis. …”
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Optimization of 44gSc Production Using Cyclotron-irradiated Liquid Target by WANG Yizheng1, 2, 3, MAQBOOL Sahil1, 2, 4, ZHANG Yuxuan2, 3, YANG Wenjiang1, 2, 3, , WEI Long1, 2, 3, 4

“…To calculate theoretical yield and radionuclidic purity, excitation functions were simulated using TALYS 2.0, ALICE-IPPE, and EMPIRE 3.2 nuclear reaction codes. Based on these calculations, liquid targets containing high-concentration (168 mg/mL) calcium nitrate were irradiated using a GE PETtrace cyclotron. …”

Identifying promising peptide targets for leprosy serological tests: From prediction to ELISA by Augusto César Parreiras de Jesus, Vanêssa Gomes Fraga, Samuel Alexandre Pimenta-Carvalho, Tania Mara Pinto Dabés Guimarães, Marcio Sobreira Silva Araújo, Jairo Campos de Carvalho, Marcio Bezerra Santos, Marcelo Grossi Araújo, Marcelo Antonio Pascoal-Xavier, Sandra Lyon, Sebastião Rodrigo Ferreira, Rocio Arreguin-Campos, Kasper Eersels, Bart van Grinsven, Thomas Cleij, Lilian Lacerda Bueno, Daniella Castanheira Bartholomeu, Cristiane Alves da Silva Menezes, Ana Laura Grossi de Oliveira, Ricardo Toshio Fujiwara

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Personalized Instructional Strategy Adaptation Using TOPSIS: A Multi-Criteria Decision-Making Approach for Adaptive Learning Systems by Christos Troussas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou

“…The system uses multi-dimensional learner performance data, such as error rate, time-on-task, mastery level, and motivation, to dynamically analyze and recommend the best pedagogical intervention from a pool of strategies, which includes hints, code examples, reflection prompts, and targeted scaffolding. …”
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Health care providers' decision-making and early adoption of tenofovir alafenamide for HIV preexposure prophylaxis: An inductive qualitative study. by Elisabeth Merchant, Patricia Solleveld, Kevin Gibas, Douglas Krakower

“…These interviews were analyzed to identify emergent codes, which were utilized in an inductive thematic analysis to identify major themes pertinent to pre-exposure prophylaxis decision-making.…”
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Making doctors stay: Rethinking doctor retention policy in a contracted-out primary healthcare setting in urban Bangladesh. by Farzana Bashar, Rubana Islam, Shaan Muberra Khan, Shahed Hossain, Adel A S Sikder, Sifat Shahana Yusuf, Sifat Shahana Yusuf, Alayne M Adams

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Autonomous Maneuvering Decision-Making Algorithm for Unmanned Aerial Vehicles Based on Node Clustering and Deep Deterministic Policy Gradient by Xianyong Jing, Fuzhong Cong, Jichuan Huang, Chunyan Tian, Zikang Su

“…Then, combining NC and DDPG, an autonomous learning and decision-making algorithm of maneuvering is designed. The algorithm flow and the pseudo-code of the algorithm are given. …”
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Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making by Jacques Creteur, Thibault Martinez, Valerio Lucidi, Turgay Tuna, Florian Blanchard, Olivier Duranteau, Benjamin Popoff, Axel Abels, Eric Savier, Patrizia Loi, Desislava Germanova, Anne Demulder

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Themes for evaluating the quality of initiatives to engage patients and family caregivers in decision-making in healthcare systems: a scoping review by Linda C Li, M Elizabeth Snow, Nancy Clark, Maryam Dehnadi, Michelle Lui, Janet McLean, Clayon B Hamilton, Hussein Mamdani, Allison L Kooijman, Vikram Bubber, Tammy Hoefer

“…Objective To identify the key themes for evaluating the quality of initiatives to engage patients and family caregivers in decision-making across the organisation and system domains of healthcare systems.Methods We conducted a scoping review. …”
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Editorial – An overview on the “crisis” of testimonial evidence as a judicial decision making tool, between ECHR and Italian Criminal Proceeding: by Pier Paolo Paulesu

“…However testimonial evidence as a fundamental judicial decision making tool is in crisis today. A crisis that has come about as a result of the downsizing of the right of the accused to effectively cross-examine the witnesses testifying against him (or her), thereby reducing the chances for the judge to perceive the witness's story in the best possible way. …”
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