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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DUALZ—Deep UNCOVER-ALMA Legacy High-Z Survey by Seiji Fujimoto, Rachel Bezanson, Ivo Labbe, Gabriel Brammer, Sedona H. Price, Bingjie Wang, John R. Weaver, Yoshinobu Fudamoto, Pascal A. Oesch, Christina C. Williams, Pratika Dayal, Robert Feldmann, Jenny E. Greene, Joel Leja, Katherine E. Whitaker, Adi Zitrin, Sam E. Cutler, Lukas J. Furtak, Richard Pan, Iryna Chemerynska, Vasily Kokorev, Tim B. Miller, Hakim Atek, Pieter van Dokkum, Stéphanie Juneau, Susan Kassin, Gourav Khullar, Danilo Marchesini, Michael Maseda, Erica J. Nelson, David J. Setton, Renske Smit

“…We also detect a marginal dust emission from an X-ray-detected galaxy at z _spec = 10.07, suggesting an active coevolution of the central black hole and its host. …”
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IGFBP7 promotes the proliferation and differentiation of primary myoblasts and intramuscular preadipocytes in chicken by Wanzhuo Geng, Yulong Guo, Botong Chen, Xi Cheng, Shuohan Li, Mohammed Kamal Challioui, Weihua Tian, Hong Li, Yanhua Zhang, Zhuanjian Li, Ruirui Jiang, Yadong Tian, Xiangtao Kang, Xiaojun Liu

“…We then examined the expression patterns of IGFBP7 across different stages of proliferation and differentiation in CPMs and intramuscular preadipocytes via qPCR, and explored the biological functions of IGFBP7 through gain- and loss-of-function experiments and a range of techniques including qPCR, CCK-8, EdU, flow cytometry, Western blot, immunofluorescence, and Oil Red O staining to detect the proliferation, differentiation, and lipid deposition in CPMs and intramuscular preadipocytes. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. …”
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Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers by Yongning Li, Lun Zhang, Ye Wu, Tianlan Wei

“…The insights derived from this research have crucial implications for improving the development and functionality of Q&A platforms.…”
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Contrasting temporal dynamics of land surface temperature responses to different types of forest loss by Jing Li, Zhao-Liang Li, Xiangyang Liu, Yitao Li, Meng Liu, Nanshan You, Hua Wu, Lei He, Menglin Si, Ronglin Tang, Chenghu Zhou, Wei Zhao, Si-Bo Duan, Pei Leng, Wenqi Liu, Enyu Zhao, Bo-Hui Tang, Zhenong Jin

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Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Safety and Probiotic Evaluation of Lactiplantibacillus plantarum CHEN1 and Its Metabolic Analysis of Soymilk Oligosaccharides by Zhina CHEN, Shiyi CAO, Linlin YIN, Mengyuan SHAO, Tao YE, Zhangrui XU, Xiaochen HUANG

“…The genetic characteristics of the strain were analyzed through genome sequencing and functional annotation. Phenotypic experiments, including hemolytic activity assays, detection of harmful metabolites, antibiotic susceptibility testing, tolerance experiments, hydrophobicity, and autoaggregation assays were conducted to evaluate its safety and probiotic potential. …”
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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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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…This dip in coherence, which we detect for the first time in Cygnus X-1 at energies above 3 keV, appears in a state in which the source shows high-amplitude radio variability and significant hard X-ray polarization. …”
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A SPectroscopic Survey of Biased Halos in the Reionization Era (ASPIRE): Spectroscopically Complete Census of Obscured Cosmic Star Formation Rate Density at z = 4–6 by Fengwu Sun, Feige Wang, Jinyi Yang, Jaclyn B. Champagne, Roberto Decarli, Xiaohui Fan, Eduardo Bañados, Zheng Cai, Luis Colina, Eiichi Egami, Joseph F. Hennawi, Xiangyu Jin, Hyunsung D. Jun, Yana Khusanova, Mingyu Li, Zihao Li, Xiaojing Lin, Weizhe Liu, Romain A. Meyer, Maria A. Pudoka, George H. Rieke, Yue Shen, Wei Leong Tee, Bram Venemans, Fabian Walter, Yunjing Wu, Huanian Zhang, Siwei Zou

“…We identify eight DSFGs in seven fields at z = 4–6 through the detection of H α or [O  iii ] λ 5008 lines, including fainter lines such as H β , [O  iii ] λ 4960, [N  ii ] λ 6585, and [S  ii ] λλ 6718,6733 for six sources. …”
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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

“…Main outcome measures The primary outcome was diagnostic model sensitivity and specificity for detecting bladder outlet obstruction, detrusor underactivity and detrusor overactivity, with 75.0% considered minimum clinically useful performance. …”
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Plasticity in activity patterns of ungulates under the influence of shade coffee agricultural intensification in Ethiopia by Behailu Etana, Peter J. Fashing, Anagaw Atickem, Afework Bekele, Nils Chr. Stenseth

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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

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Advanced Suspension Techniques in Interferometric Gravitational Wave Detectors: An Overview by Vishnu G. Nair

“…This isolation is crucial for enabling the detectors to function efficiently at low frequencies, which directly impacts their capacity to detect distant events from the universe’s past. …”
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Combining dopamine and glucose sensings on paper devices for the metabolic study of neurosecretion by Rémi F. Dutheil, Dabeaurard Tho, Iman Pitroipa, Raphaël Trouillon

“…Glucose, the main source of energy of the human body, and dopamine, a major neurotransmitter, are two analytes widely investigated in the study of the brain. …”
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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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Mobile phone encryption as an obstacle in criminal investigation: Review of comparative solutions by Pisarić Milana

“…In detecting criminal offences, the police increasingly rely on electronic evidence. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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