MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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社群媒體使用與憂鬱： 社會比較與社會排斥的中介效果 Social Media Use and Depression: The Mediating Effects of Social Comparison and Social Exclusion by 江文慈 Wen-Tzu Chiang

“…Second, while this study focused on Instagram, different social media platforms (e.g., Threads) may function differently, warranting further investigation. …”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

“…As such, we apply stacked generalization consisting of nearly identical ResNets with different loss functions: one utilizing sparse cross-entropy (CXE) and the other Kullback-Liebler Divergence (KLD). …”
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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

“…Utilizing R software, we performed an initial screen for differentially expressed genes (DEGs), which was followed by the enrichment analyses to elucidate the affected functions and pathways. …”
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Investigating the relationship between the monetary policy shock through the exchange rate channel on the management quality index in the banking system: by examining the productiv... by Farhad Sharifi Bagha, Jafar Haqiqat, Zahra Karimi Takanloo

“…In the present study, we show that replacing ECB balance sheet size with random numbers leads to statistically indistinguishable shock response functions and time series of abnormal monetary policy shocks. …”
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Integrated Genome-Wide Analysis of Gene Expression and DNA Copy Number Variations Highlights Stem Cell-Related Pathways in Small Cell Esophageal Carcinoma by Di Liu, Xinyan Xu, Junmiao Wen, Liyi Xie, Junhua Zhang, Yuxin Shen, Guoliang Jiang, Jiayan Chen, Min Fan

“…Gene enrichments in addition to functional annotation and gene interaction networks were performed using DAVID 6.8 and STRING 10.0, respectively. …”
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Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images by Resky Adhyaksa, Bedy Purnama

“…The training and testing phases utilized an 80:20 split of the data, employing binary cross-entropy as the loss function and the Adam optimizer for efficient weight updates. …”
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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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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

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A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis by Jung Hyun Kim, Jaeyong Shin, Man S Kim, Jae Hoon Moon

“… Abstract BackgroundThe integration of wearable technology for heart rate monitoring offers potential advancements in managing hyperthyroidism by providing a feasible way to track thyroid function. Although digital health solutions are gaining traction in various chronic conditions, their cost-effectiveness in hyperthyroidism management requires deeper investigation. …”
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Effects of Valproic Acid Embryonic Exposure on Zebrafish: A Systematic Review and Meta-Analysis by Bernardo Flores-Prieto, Jorge Manzo-Denes, María Elena Hernández-Aguilar, Genaro Alfonso Coria-Avila, Deissy Herrera-Covarrubias, Gonzalo Emiliano Aranda-Abreu, Fausto Rojas-Durán, César Antonio Pérez-Estudillo, Jorge Suárez-Medellín, María Rebeca Toledo-Cárdenas

“…At the genetic level, VPA exposure is associated with the differential expression of genes involved in neurodevelopment and neuronal function. The synthesized data from these studies underscore the utility of zebrafish as a model organism for investigating the effects of teratogen exposure on neurodevelopment.…”
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CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…This study aims to forecast the exchange rate between the Chinese Yuan (CNY) and the Indonesian Rupiah (IDR) using Support Vector Regression (SVR), a machine-learning technique that can handle nonlinear and complex data. The authors utilize the monthly selling exchange rate of CNY against IDR from January 2012 to October 2023 sourced from the “investing” platform. …”
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Impact of technology- and parent-based psychosocial interventions on family dynamics factors in children with cancer: A systematic review. by Yilin Zhang, Zitong Zhang, Yunyun Peng, Wanting Zhang, Guiyuan Ma, Sulan Lin, Carmen W H Chan, Ankie Tan Cheung, Jianhui Xie, Can Gu

“…<h4>Methods</h4>Data were sourced from ten databases (CNKI, Wanfang, VIP, Sinomed, the Cochrane Library, Embase, PubMed, Web of Science, Scopus, and CINAHL) up to August 2024. …”
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Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative by Yue Xiong, Jiayong Liang, Chenghe Guan

“…Abstract Despite the broad scope of Belt and Road Initiative (BRI) projects and deep intertwine with urban development, there is a lack of quantitative research utilizing crowd-sourced data to understand public perceptions, particularly from both spatial and temporal perspectives. …”
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Examining the cultuling of Iranians’ concerns for others: From apathy to metapathy by Reza Pishghadam, Shima Ebrahimi

“…These utterances were collected from written texts across various sources. Subsequently, the expressions related to concern were carefully analyzed utilizing the conceptual model of cultuling analysis (CLA). …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…This proposed method leverages an interactive GA with a well-designed Fitness Function and elitism-based survivor selection to enhance performance. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…In addition, a pre-trained discriminator is employed in the model training process to compare reconstructed stylized <inline-formula><tex-math id="M33-1">$ {\boldsymbol{z}}_{\mathrm{b}}^{\mathrm{*}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.png"/></alternatives></inline-formula> with its original content source <inline-formula><tex-math id="M34-1">$ {\boldsymbol{z}}_{\mathrm{a}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.png"/></alternatives></inline-formula> The results are utilized to optimize the decoder. …”
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The association between serum albumin–globulin ratio and overactive bladder in American adults: a cross-sectional study by Yuan-Zhuo Du, Jia-Hao Liu, Fu-Chun Zheng, Qiang Zhou, Ju Guo

“…Abstract Objectives The albumin–globulin ratio (AGR) is considered an important indicator reflecting an individual’s immune function and nutritional status, and it is closely associated with various health conditions. …”
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Integrated Analysis of Single‐Cell and Bulk RNA‐Sequencing Defines N7‐Methylguanosine (m7G)‐Mediated Modifications' Role in Prognosis and the Tumor Immune Microenvironment in Hepat... by Jiahua Liang, Mingjian Ma, Borui Xu, Cheng Zhong, Guangyan Zeng, Huijiao Lu, Jiaming Lai, Jiancong Chen

“…Method Single‐cell RNA sequencing (scRNA‐seq) data was sourced from the GEO repository. Transcriptomic datasets were procured from TCGA, GEO, and ICGC databases. …”
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Machine learning-based model for CD4+ conventional T cell genes to predict survival and immune responses in colorectal cancer by Zijing Wang, Zhanyuan Sun, Hengyi Lv, Wenjun Wu, Hai Li, Tao Jiang

“…In this investigation, transcriptomic and clinical data were sourced from TCGA and GEO. Initially, we pinpointed CD4TGs using single-cell datasets. …”
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