Validation of a 60K SNP chip for caribou (Rangifer tarandus) for use in wildlife forensics, conservation, and management by Trottier-Lavoie Mallorie, Prunier Julien, Poisson William, Carrier Alexandra, Gilbert Isabelle, Mastromonaco Gabriela, Albert Vicky, Cecilia Hernandez, Bourret Vincent, Taillon Joëlle, Droit Arnaud, Côté Steeve D., Robert Claude

“…Based on a population-targeted subset of SNPs included in the chip design, reassignment of 981 samples to a functional group (here to a caribou ecotype) was highly accurate (99.59 %) and the relative probability of reassignment error was estimated using the logarithm of odds score. …”
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Visible Triple-Wavelength Switchable Emission Generated in Passively Q-Switched Nd:YVO₄ Self-Raman Laser by Songtao Li, Shengxi Zheng, Bowen Zheng, Yong Wei, Yongchang Zhang, Yanmin Duan, Haiyong Zhu

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Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows by Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-e Qiang, Ziren Luo

“…Detecting the coalescences of massive black hole binaries (MBHBs) is one of the primary targets for space-based gravitational wave observatories such as laser interferometer space antenna, Taiji, and Tianqin. …”
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Role of Polyphosphate as an Inorganic Chaperone to Prevent Protein Aggregation Under Copper Stress in <i>Saccharolobus solfataricus</i> by José Acevedo-López, Gabriela González-Madrid, Claudio A. Navarro, Carlos A. Jerez

“…In <i>Escherichia coli</i>, polyphosphates also function as inorganic molecular chaperones. The present study aims to investigate whether polyphosphate serves a similar chaperone function in archaea, using <i>Saccharolobus solfataricus</i> as a model organism. …”
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A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

“…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
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JWST/NIRCam Narrowband Survey of Paβ Emitters in the Spiderweb Protocluster at z = 2.16 by Rhythm Shimakawa, J. M. Pérez-Martínez, Helmut Dannerbauer, Yusei Koyama, Tadayuki Kodama, Pablo G. Pérez-González, Chiara D’Eugenio, Yuheng Zhang, Abdurrahman Naufal, Kazuki Daikuhara

“…We derive the Pa β luminosity function in the Spiderweb protocluster, showing a normalization density of $\mathrm{log}{\phi }^{* }=-2.53\pm 0.15$ at a characteristic Pa β luminosity of $\mathrm{log}{L}^{* }=42.33\pm 0.17$ . …”
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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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Regularities of the Natural Evolution of the Proliferative Process in Diabetic Retinopathy. The Concept of Remission of Proliferative Diabetic Retinopathy by S. V. Sdobnikova

“…Therefore, the scale reflecting the stages of evolution of newly formed vessels and the scale of severity reflecting the degree of threat to visual functions in PDR cannot be identical. Since the development and regression of neovessels is a reflection of multidirectional processes, the identification of the phase of PDR evolution is fundamental in the formation of research design. …”
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SIMPLE: Simple Intensity Map Producer for Line Emission by Maja Lujan Niemeyer, José Luis Bernal, Eiichiro Komatsu

“…Simple can be applied to any spectral line sourced by galaxies. The Simple code is based on lognormal mock catalogs of galaxies including positions and velocities and assigns luminosities following the luminosity function. …”
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Native bacteria from a Mediterranean greenhouse associated to soil health and suppressiveness by Jose Ignacio Marín-Guirao, Miguel de Cara-García

“…Among the 52 ecological pathways detected via FAPROTAX database, nitrogen-related functions showed higher presence at the end of the cropping seasons. …”
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Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing by Krzysztof Banas, Agnieszka M. Banas, Giorgia Pastorin, Ngai Mun Hong, Shikhar Gupta, Katarzyna Dziedzic-Kocurek, Mark B. H. Breese

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PREVALENCE AND STRUCTURE OF DENTO-MAXILLOFACIAL ANOMALIES IN CHILDREN by O.-Kh.A. Byala

“…Dental health is largely characterized by the correctness of the structure of the mandibular system, its proper functioning and balance, and its condition is one of the preventive and quite clearly fixed indicators of health/ ill health of the human body in general. …”
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Kajian Farmakoinformatika Senyawa Alkaloid Anggur Laut (Caulerpa racemose) Sebagai Inhibitor Collagenase Dalam Mekanisme Antiaging by Dewi Ratih Tirto Sari, M.Eko Pranoto, Siti Zamilatul Azkiyah

“…Sea grapes also well known as functional food source from marine, contains high protein, fibers and secondari metabolites. …”
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Gene Network Biological Validity Based on Gene-Gene Interaction Relevance by Francisco Gómez-Vela, Norberto Díaz-Díaz

“…Finally, the ability of GeneNetVal to detect biological functionality of the network is shown.…”
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iMeta Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health by Yao Wang, Huiyu Hou, Hao Luo, Jiani Xun, Chuang Ma, Haifei Yang, Defeng Bai, Salsabeel Yousuf, Hujie Lyu, Tianyuan Zhang, Xiulin Wan, Xiaofang Yao, Tengfei Ma, Yuanping Zhou, Zhihao Zhu, Meiyin Zeng, Sanqi An, Qing Bai, Yao Bai, Guodong Cao, Tingting Cao, Yongkai Cao, Chihmin Chang, Lijia Chang, Bo Chen, Dai Chen, Dijun Chen, Hanqing Chen, Jiali Chen, Jinfeng Chen, Wei‐Hua Chen, Xinhai Chen, Yue Chen, Zhangran Chen, Cheng Cheng, Quan Cheng, Xi‐Jian Dai, Chaowen Deng, Feilong Deng, Jingwen Deng, Chang‐Sheng Dong, Lei Dong, Lianhui Duan, Yi Duan, Qingjie Fan, Chao Fang, Tingyu Fang, Wensheng Fang, Zhencheng Fang, Min Fu, Minjie Fu, Cong Gao, Hao Gao, Weiwei Gao, Xinrui Gao, Yi‐Zhou Gao, Yan Geng, Wenping Gong, Shaohua Gu, Xia Gu, Zhengquan Gu, Jian‐Wei Guo, Junjie Guo, Qiuyan Guo, Xiang Guo, Xiaoqian Guo, Dongfei Han, Ziyi Han, Yanan Hao, Jiale He, Jianquan He, Jianyu He, Ruolin He, Guosen Hou, Bin Hu, Haibo Hu, Yi Hu, Yongfei Hu, Yucan Hu, Guanyin Huang, Haiyun Huang, Jiaomei Huang, Shenghui Huang, Baolei Jia, Xingxing Jian, Chao Jiang, Kun Jiang, Lanyan Jiang, Shuaiming Jiang, Jian‐Yu Jiao, Hao Jin, Jiajia Jin, Siyuan Kong, Xinxing Lai, Yuxin Leng, Bang Li, Bing Li, Fang Li, Hao Li, Huanjie Li, Jing Li, Kai Li, Lanqi Li, Leyuan Li, Minghan Li, Pengsong Li, Wei Li, Wei Li, Xianyu Li, Li Xuemeng, Yafei Li, Yuantao Li, Zhi Li, Liqin Liang, Rong Liang, Zhuobin Liang, Qingya Liu, Dejian Liu, Huiheng Liu, Jinchao Liu, Li Liu, Lihui Liu, Moyang Liu, Ran Liu, Shuai Liu, Tianyang Liu, Wei Liu, Wenjuan Liu, Xiaomin Liu, Yang Liu, Yichen Liu, Yina Liu, Yuan Liu, Zhe Liu, Zhipeng Liu, Zhiquan Liu, Chunhao Long, Yun Long, Changying Lu, Chao Lu, Cheng Lu, Qi Lu, Yaning Luan, Peng Luo, Sheng Luo, Ning Ma, Xiao‐Ya Ma, Yan Ma, Wenjun Mao, Yuanfa Meng, Yan Ni, Yawen Ni, Kang Ning, Dongze Niu, Kai Peng, Zhengwu Peng, Xubo Qian, Zhiguang Qiu, Hui Qu, Zepeng Qu, Yan Ren, Zhigang Ren, Youming Shen, Lin Shi, Linlin Shi, Wenxuan Shi, Yongpeng Shi, Tianyuan Song, Xiaohui Song, Xiaoming Song, Xiaowei Song, Qi Su, Yufan Su, Lifang Sun, Qiang Sun, Tiefeng Sun, Yunke Sun, Hua Tang, Wenjing Tang, Tao Yu, Simon Tian, Shuo Wang, Bowen Wang, Cheng Wang, Wang Jin, Leli Wang, Liangliang Wang, Lixiao Wang, Mingbang Wang, Ming‐Ke Wang, Pingyi Wang, Shaolin Wang, Shaopu Wang, Xinxia Wang, Xueqiang Wang, Mi Wei, Yan Wei, Yanxia Wei, Yongjun Wei, Chaoliang Wen, Xin Wen, Linkun Wu, Shengru Wu, Yuting Wu, Shuting Xia, Xiaodong Xia, Yu Xia, Xionggen Xiang, Chuanxing Xiao, Weihua Xiao, Yingping Xiao, Ruohan Xie, Rui Xing, Hui Xu, Wei Xu, Zhimin Xu, Hongliang Xue, Chao Yan, Qiu‐Long Yan, Shaofei Yan, Xiuchuan Yan, Mengli Yang, Yufan Yang, Zhipeng Yang, Ziyuan Yang, Guixiang Yao, Yanlai Yao, Xianfu Yi, Chong Yin, Mingliang Yin, Shicheng Yu, Ying Yu, Yongyao Yu, Fusong Yuan, Shao‐Lun Zhai, Bo Zhang, Chen Zhang, Fang Zhang, Feng‐Li Zhang, Hengguo Zhang, Jinping Zhang, Junya Zhang, Kun Zhang, Li Zhang, Lin Zhang, Lingxuan Zhang, Meng Zhang, Qian Zhang, Runan Zhang, Tongtong Zhang, Tongxue Zhang, Weipeng Zhang, Yong Zhang, Yuchao Zhang, Yujun Zhang, Zeng Zhang, Zhengxiao Zhang, Zhi‐Feng Zhang, Boxi Zhao, Yanyan Zhao, Yibing Zhao, Ziwei Zhao, Diwei Zheng, Ying Zheng, Wenqiang Zhi, Jixin Zhong, Xiangjian Zhong, Wei Zhou, Xin Zhou, Zhemin Zhou, Zhichao Zhou, Congmin Zhu, Feiying Zhu, Xiaodie Zhu, Yutian Zou, Hongling Zhou, Lei Lei, Yanliang Bi, Hubing Shi, Hui‐Zeng Sun, Shuangxia Jin, Wenkai Ren, Lei Dai, Xin Wang, Canhui Lan, Hongwei Liu, Shuang‐Jiang Liu, Yulong Yin, Chun‐Lin Shi, Ren‐You Gan, Fangqing Zhao, Jun Yu, Tong Chen, Xin Hong, Hua Yang, Bangzhou Zhang, Shifu Chen, Xiaodong Li, Yunyun Gao, Yong‐Xin Liu

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Genetic diversity in wild species and cultivars of strawberry for the <i>FanAAMT</i> gene controlling fruit flavor volatiles by A. S. Lyzhin, I. V. Luk’yanchuk

“…‘Karmen’, ‘Ostara’, ‘Samson’, ‘Symphony’, ‘Troubadour’ and ‘Vima Tarda’, in which the functional allele of the FanAAMT gene was found. In the remaining studied strawberry genotypes the marker FanAAMT was not detected, which presumably indicates that the FanAAMT gene is absent. cells (R9.4.1).…”
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Green Recovery and Identification of Antioxidant and Enzyme Inhibitor Molecules from Pisco Grape Pomace by Targeted Effects Analysis Using Thin-Layer Chromatography, Bioassay, and... by Jacqueline Poblete, Joaquín Fernández-Martínez, Mario Aranda, Issis Quispe-Fuentes

“…According to the results, grape pomace could be an alternative to develop novel functional foods and nutraceuticals that provide health benefits and, at the same time, generate a circular economy in the industry.…”
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MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

“…In software version control systems, like Git, merge conflicts typically arise when multiple developers edit the same segment of a source file from different branches. Detecting merge conflicts can be automated; however, resolving merge conflicts is tedious and demanding. …”
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Sodium formate induces development-dependent intestinal epithelial injury via necroptosis and apoptosis by Jingjing Wei, Yuan Tian, Meiqi Guan, Jinshu Wei, Yong Ji, Guozhong Tao, Karl G. Sylvester

“…Mice were sacrificed after 24 h of feces collection, and the blood and small intestinal tissues were collected to detect the pathological damage of intestinal tissue, intestinal permeability, oxidative stress indicators including SOD, HO-1, MDA, and 4-HNE, inflammatory cytokines including IL-1β, TNF-α and IL-6, mitochondrial function such as ATP and PGC-1α in mice intestinal tissue, indicators of the cell death modes including necroptosis-related protein RIPK1 and p-MLKL, and apoptosis- related protein cleaved-caspase-3 and p-AKT (S473).Results NaF treatment significantly damaged intestinal epithelial tissue and barrier function, caused mitochondrial dysfunction, manifesting as decreased ATP and PGC-1α levels, increased lipid peroxidation products MDA and 4-HNE, depleted antioxidant enzyme SOD, and upregulated the expression of HO-1. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Multiple imputation by chain equations was used to handle missing data and fractional polynomial functions were used to fit continuous variables. The discriminative ability of the models was assessed using the c-index, and calibration was assessed using calibration plots and the calibration slope. …”
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