A Two-Stage Deep Fusion Integration Framework Based on Feature Fusion and Residual Correction for Gold Price Forecasting by Cihai Qiu, Yitian Zhang, Xunrui Qian, Chuhang Wu, Jiacheng Lou, Yang Chen, Yansong Xi, Weijie Zhang, Zhenxi Gong

“…Given the far-reaching impact of the gold price on global financial markets, accurately predicting the gold price has become essential, with machine learning methods emerging as a prominent tool to tackle this challenge. …”
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The relative effects of climatic drivers and phenotypic integration on phenotypic plasticity of a globally invasive plant by Xincong Chen, Jiayu Wang, Wenwen Liu, Yihui Zhang

“…We quantified plasticity and variation therein for plant height, shoot density, first flowering day and inflorescence biomass (on a per capita basis). …”
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Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging by Asmaa Jittou, Khalid El Fazazy, Jamal Riffi

“…Most segmentation methods define regions of interest with different shapes and intensities, encompassing the entire placenta or specific structures. …”
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Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets by Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle

“…We present Multi‐Omics Factor Analysis (MOFA), a computational method for discovering the principal sources of variation in multi‐omics data sets. …”
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Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning by Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam

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Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal by Ibrahima Mamby Keita, Mariama Diouf, Medoune Ndiop, Boly Diop, Khaly Gueye, Marianne Kouawo, Ousmane Ndiaye, Doudou Sene, Elhadji Mamadou Ndiaye, Marie Khemesse Ngom Ndiaye

“…Malaria is a highly climate-sensitive vector-borne disease, yet its sentinel surveillance shows a weak integration of malaria morbidity data with climatic factors. …”
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Integration of Digital Phenotyping and Genomics for Dry Eye Disease: Protocol for a Prospective Cohort Study by Ken Nagino, Yasutsugu Akasaki, Nobuo Fuse, Soichi Ogishima, Atsushi Shimizu, Akira Uruno, Yoichi Sutoh, Yayoi Otsuka-Yamasaki, Fuji Nagami, Jun Seita, Tomohiro Nakamura, Satoshi Nagaie, Makiko Taira, Tomoko Kobayashi, Ritsuko Shimizu, Atsushi Hozawa, Shinichi Kuriyama, Atsuko Eguchi, Akie Midorikawa-Inomata, Masahiro Nakamura, Akira Murakami, Shintaro Nakao, Takenori Inomata

“…Combining these data with genetic information from biobanks could enhance our understanding of individual variations and facilitate the development of personalized treatment strategies for DED. …”
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An Optimal Control Problem of Forward-Backward Stochastic Volterra Integral Equations with State Constraints by Qingmeng Wei, Xinling Xiao

“…Using Ekeland's variational principle, we obtain one kind of variational inequalities. …”
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Monotonicity Criterion-Based Power Quality Improvement in Distributed Energy Systems with Solar PV Integration by Phani Kumar Chittala, Elanchezhian E.B, Pragaspathy Subramani, Subramanian S

“…The study explores potential optimizations in the power system, focusing on varying the maximum bus voltage between 5% and 15%, in conjunction with angle variations from 1 to 5 degrees. The monotonicity criterion was applied to select optimal PV distribution, aimed at compensating for load variation and improving power quality. …”
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Tracing genomic instability in induced mesenchymal stromal cell manufacture: an integration-free transfection approach by Jong-Mi Lee, Chae Yeon Lee, Binna Seol, Chan Kwon Jung, Yonggoo Kim, Dain Kang, Haein Yu, Yuna Hong, Cho Lok Song, Yee Sook Cho, Myungshin Kim

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Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer by Zihao Bai, Hao Wang, Jingru Han, Jia An, Zhaocong Yang, Xuming Mo

“…We verified the expression of the GMPS hub genes using the RT-qPCR method. The prognostic influence of GMPS on GC was then evaluated. …”
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Framework for Implementing Quantum Neural Networks in Wireless Communications by Salik Siddiqui, Justin Holzer, Joshua Malcarne, Galahad M. B. Wernsing, Alexander M. Wyglinski

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Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions by Awad M. Ali, Mohammed Abdallah, Babak Mohammadi, Hussam Eldin Elzain

“…The method was tested on four PERSIANN family precipitation products (2005–2019) using two conceptual hydrological models (CHM: HBV and GR6J) and three machine learning models (ML: Random Forest Regression, Boosted Regression Forest, and CatBoost Regression), with VMD applied to improve model inputs.New hydrological insights: Our results highlight that integrating VMD significantly enhances the reliability of hydrological simulations driven by satellite precipitation data, particularly during low-flow periods. …”
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Nonlinear deformation of end-supported nanorods based on consistent couple stress and surface elasticity theories by Sitti Prasittikulwat, Jianjun Zhang, Tawich Pulngern, Somchai Chucheepsakul, Boonchai Phungpaingam, Shanqing Xu, Guoxing Lu

“…The Lagrange multiplier method is employed to enforce constrained boundary conditions. …”
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Analyzing the Impact of Land-Use Characteristics and Demographic Factors on Spatial Variations in Public Bus Usage: A Comparison of Pre- and During COVID-19 Periods by Sukchan Hong, Byungyun Yang

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An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production by Pramod N. Belkhode, Shrikant M. Awatade, Chander Prakash, Sagar D. Shelare, Deepali Marghade, Sameer Sheshrao Gajghate, Muhamad M. Noor, Milon Selvam Dennison

“…Traditional synthesis methods often rely on trial-and-error, resulting in inefficiencies in material discovery and optimization. …”
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A Strategy of SOC Estimation and Correction for Vehicle PowerBatteries Based on Double-integrator by WEN Jianfeng, WANG Quan, LIU Yuan, HUANG Hao, ZHONG Xiongwu, XIONG Ziyou

“…It addressed cumulative error and the maximum available capacity variation of the Ampere-hour integral method for power battery SOC(state of charge) estimation under actual operating conditions , analyzed the relationship between different charging and discharging rates, voltage and capacity under different temperature conditions through a large number of tests, and proposed a strategy of SOC estimation and correction based on double-integrator. …”
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A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass by Chengming Ou, Zhicheng Jia, Shiqiang Zhao, Shoujiang Sun, Ming Sun, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao

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Advances in Mendelian Randomization Studies of Obesity Over the Past Decade: Uncovering Key Genetic Mechanisms by Lu X, Ji L, Chen D, Lian X, Yuan M

“…Future research that integrates multi-ancestry GWAS, functional validation, and multi-omics approaches may further enhance the utility of Mendelian randomization. …”
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Gain of bipolar disorder-related lncRNA AP1AR-DT in mice induces depressive and anxiety-like behaviors by reducing Negr1-mediated excitatory synaptic transmission by Shufen Li, Hongyu Ni, Yaping Wang, Xiaohui Wu, Jianqiang Bi, Haiyan Ou, Zhongwei Li, Junjiao Ping, Zhongju Wang, Renhao Chen, Qiong Yang, Meijun Jiang, Liping Cao, Tingyun Jiang, Siqiang Ren, Cunyou Zhao

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