Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

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Spatiotemporal dynamics of soil moisture and the occurrence of hysteresis during seasonal transitions in a headwater catchment by Shangqiang Hui, Li Guo, Haochen Liu, Xuemei Wu, Ping Lan, Elizabeth W. Boyer, Carlos R. Mello, Hongxia Li

“…Through empirical orthogonal function (EOF) analysis, key factors that influence the occurrence of the hysteresis cycles in the σθ(θ¯) relationship were identified. …”
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Integrating multi-omics techniques and in vitro experiments reveals that GLRX3 regulates the immune microenvironment and promotes hepatocellular carcinoma cell proliferation and in... by Yang Li, Yuan Chen, Yuan Chen, Yang Zhang, Yunsheng Fang, Yunsheng Fang, Ling Wu, Ying Zhao, Danqiong Wang, Xiaoyuan Qiao

“…By cell communication analysis as well as GO and KEGG enrichment analysis, we determined the functional role of iron metabolism in different cell types. …”
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TRANSCENDENT (Transforming Research by Assessing Neuroinformatics across the Spectrum of Concussion by Embedding iNterdisciplinary Data-collection to Enable Novel Treatments): prot... by Charlotte Anderson, Nick Reed, Andrée-Anne Ledoux, Roger Zemek, Keith Yeates, Carolyn Emery, Pamela Fuselli, Isabelle J Gagnon, Kathryn J Schneider, Sharon Johnston, David R Howell, Richard Webster, Peter Tanuseputro, Andrew R Mayer, Miriam H Beauchamp, Rebecca Robillard, Christina L Master, Kristine Dalton, Khaled El Emam, John Leddy, Noah Silverberg, Jennifer Dawson, Martin H Osmond, Stephanie Cowle, Christopher Giza, Monica Lamoureux, Nicholas Barrowman, Kitty Chen, Daniel J Corwin, Erin Fox, Lisa M Albrecht, Araba Chintoh, Achelle Cortel-LeBlanc, Miguel Cortel-LeBlanc, Andrew Dodd, Steven Hicks, Stephen Alexander Kutcher, Carlos Lalonde, Rebekah C Mannix, Ivan Terekhov, Cheryl Lea Wellington

“…Analysis will be predicated on pre-specified research questions, and data shared with the Ontario Brain Institute’s Brain-CODE database. …”
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Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method by Junyu Kuang, Yingbiao Chen, Zhenxiang Ling, Xianxin Meng, Wentao Chen, Zihao Zheng

“…To address this challenge, this study acquired the remote sensing data of a peri-urban area using the DJI Mavic 3 Enterprise and applied Object-Based Image Analysis (OBIA) to extract high-density buildings. …”
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Neurobiomechanical Characterization of Feedforward Phase of Gait Initiation in Chronic Stroke: A Linear and Non-Linear Approach by Marta Freitas, Pedro Fonseca, Leonel Alves, Liliana Pinho, Sandra Silva, Vânia Figueira, José Félix, Francisco Pinho, João Paulo Vilas-Boas, Augusta Silva

“…Postural control arises from the complex interplay of stability, adaptability, and dynamic adjustments, which are disrupted post-stroke, emphasizing the importance of examining these mechanisms during functional tasks. This study aimed to analyze the complexity and variability of postural control in post-stroke individuals during the feedforward phase of gait initiation. …”
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Cytokine Gene Variants as Predisposing Factors for the Development and Progression of Coronary Artery Disease: A Systematic Review by Fang Li, Yingshuo Zhang, Yichao Wang, Xiaoyan Cai, Xiongwei Fan

“…A systematic review and meta-analysis were conducted using Pubmed, EMBASE, WOS, CENTRAL, CNKI, CBM, Weipu, WANFANG Data and Google Scholar databases for relevant literature published up to September 2024. …”
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Association between copper exposure and renal fibrosis in patients with chronic kidney disease: evidence from Mendelian randomization and a retrospective study by Kaixiang Liu, Min Yu, Yangyang He, Ting Wang, Honghua Hu, Zhengwei Wan, Ping Shuai, Shasha Chen, Guisen Li, Li Wang, Xiang Zhong

“…This study explores the causal relationship between serum copper levels and renal fibrosis in CKD.MethodsA two-sample Mendelian Randomization (MR) analysis integrated GWAS and FinnGen data. Serum copper and other metals were quantified via ICP-MS in 505 CKD patients and 50 controls. …”
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mNSF: multi-sample non-negative spatial factorization by Yi Wang, Kyla Woyshner, Chaichontat Sriworarat, Genevieve Stein-O’Brien, Loyal A. Goff, Kasper D. Hansen

“…We present multi-sample non-negative spatial factorization (mNSF), an alignment-free framework extending single-sample spatial factorization to multi-sample datasets. mNSF incorporates sample-specific spatial correlation modeling and extracts low-dimensional data representations. Through simulations and real data analysis, we demonstrate mNSF’s efficacy in identifying true factors, shared anatomical regions, and region-specific biological functions. mNSF’s performance is comparable to alignment-based methods when alignment is feasible, while enabling analysis in scenarios where spatial alignment is unfeasible. mNSF shows promise as a robust method for analyzing spatially resolved transcriptomics data across multiple samples.…”
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AdDownloader: Automating the retrieval of advertisements and their media content from the Meta Online Ad Library by Paula-Alexandra Gitu, Roberto Cerina, Stefanie Vandevijvere, Roselinde Kessels

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Elevated Ambient Temperature Associated With Reduced Infectious Disease Test Positivity Rates: Retrospective Observational Analysis of Statewide COVID-19 Testing and Weather Across... by Nicholas Wing-Ping Kwok, Joshua Pevnick, Keith Feldman

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Cross-Modal Insights into Urban Green Spaces Preferences by Jiayi Yan, Fan Zhang, Bing Qiu

“…By bridging human-centered insights with data-driven analysis, this research provides a robust framework for evaluating landscape preferences. …”
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Digital Behavior Change Interventions to Promote Physical Activity and Reduce Sedentary Behavior Among Survivors of Breast Cancer: Systematic Review and Meta-Analysis of Randomized... by Xiaoyan Zhang, Jiaxin Fang, Yufang Hao, Dan Yang, Jiayin Luo, Xin Li

“…Most DBCIs were delivered at the interpersonal level using common behavior change techniques, including social support (unspecified), instruction on how to perform the behavior, demonstration of the behavior, action planning, and problem-solving. Meta-analysis revealed that DBCIs significantly improved shoulder range of motion across all planes (flexion: standardized mean difference [SMD]=2.08, 95% CI 1.14-3.01; P<.001; extension: SMD=1.74, 95% CI 0.79-2.70; P<.001; abduction: SMD=2.32, 95% CI 1.35-3.28; P<.001; external rotation: SMD=2.29, 95% CI 0.96-3.62; P<.001; internal rotation: SMD=2.98, 95% CI 1.08-4.87; P=.002; adduction: SMD=2.09, 95% CI 1.16-3.02; P<.001), finger climbing wall height (SMD=1.65, 95% CI 1.35-1.95; P<.001), upper-extremity function (SMD=−0.96, 95% CI −1.50 to −0.42; P<.001), quality of life (SMD=1.83, 95% CI 0.44-3.22; P=.01), and reduced pain (SMD=−0.58, 95% CI −0.93 to −0.22; P=.002). …”
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From Barthel–Randers–Kropina Geometries to the Accelerating Universe: A Brief Review of Recent Advances in Finslerian Cosmology by Amine Bouali, Himanshu Chaudhary, Lehel Csillag, Rattanasak Hama, Tiberiu Harko, Sorin V. Sabau, Shahab Shahidi

“…The results indicate that Finslerian cosmological models provide a satisfactory fit to the observational data, suggesting they represent a viable alternative to the standard cosmological model based on general relativity.…”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…We aimed to investigate the relationship between morality and potential prognostic factors among in-patient and emergency patients with HF.Patients and Methods: A case series study: Data are collected from in-hospital and emergency care patients from 2014 to 2021, including their international classification of disease at admission, and laboratory data such as blood count, liver and renal functions, lipid profile, and other biochemistry from the hospital’s electrical medical records. …”
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Global, regional, and national burden of interstitial lung diseases and pulmonary sarcoidosis from 2000 to 2021: a systematic analysis of incidence, mortality, and disability-adjus... by Mi Zhou, Yazhe Zhou, Xin Yang, Kaizhuo Zhou, Xin Zhu

“…Temporal trends were evaluated using Joinpoint regression analysis, and the relationship between disease burden and the sociodemographic index (SDI) was explored by stratifying the data into five SDI categories. …”
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Modéliser et comprendre les campagnes de la Somme romaine à l’aide des systèmes d’information géographique by Nicolas Revert

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Can EEG‐Neurofeedback Training Enhance Effective Connectivity in People With Chronic Secondary Musculoskeletal Pain? A Secondary Analysis of a Feasibility Randomized Controlled Cli... by Jerin Mathew, Divya Bharatkumar Adhia, Mark Llewellyn Smith, Dirk De Ridder, Ramakrishnan Mani

“…Methods A secondary analysis was performed using data from a randomized, double‐blind, sham‐controlled feasibility clinical trial. …”
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Integrative genomic analysis identifies DPP4 inhibition as a modulator of FGF17 and PDGFRA downregulation and PI3K/Akt pathway suppression leading to apoptosis by Kiran Kumar Chitluri, Emerson Isaac Arnold

“…Furthermore, these hub genes were subjected to functional and pathway enrichment analysis via gene ontology (GO) and the Kyoto Encyclopaedia of Genes and Genomes (KEGG).ResultsNotably, the PI3K/Akt signalling pathway was significantly enriched with eight of these hub genes, with significant clinical relevance. …”
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Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation by Shiu-Shin Lin, Kai-Yang Zhu, He-Yang Huang

“…This study proposes a deep neural network (DNN) as a downscaling framework with nonlinear features extracted by kernel principal component analysis (KPCA). KPCA utilizes kernel functions to extract nonlinear features from the source climatic data, reducing dimensionality and denoising. …”
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