GDF-15 Is Associated with Poor Physical Function in Prefrail Older Adults with Diabetes by Reshma Aziz Merchant, Yiong Huak Chan, Gustavo Duque

“…We aimed to investigate (i) the association between GDF-15 and DM with and without poor physical function independent of inflammation and (ii) the prediction model for poor physical function in prefrail older adults. …”
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VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa

“…In response to these challenges, we introduce <monospace>VisGraphVar</monospace> (Visual Graph Variability), a customizable benchmark generator able to produce graph images for seven distinct task categories (detection, classification, segmentation, pattern recognition, link prediction, reasoning, matching), designed to systematically evaluate the strengths and limitations of individual LVLMs. …”
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Fatigue property evaluation of 7075/6061 aluminum alloy TIG welded overlap joints by LIAO Xiangyun, WANG Ruijie, LIU Guoshou, ZHAO Pinglin, CHANG Yaguang, WANG Zhongde

“…After correcting for plate thickness, the prediction errors were within a factor of two in the low-cycle fatigue range. …”
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Using multiomic integration to improve blood biomarkers of major depressive disorder: a case-control studyResearch in context by Amazigh Mokhtari, El Chérif Ibrahim, Arnaud Gloaguen, Claire-Cécile Barrot, David Cohen, Margot Derouin, Hortense Vachon, Guillaume Charbonnier, Béatrice Loriod, Charles Decraene, Ipek Yalcin, Cynthia Marie-Claire, Bruno Etain, Raoul Belzeaux, Andrée Delahaye-Duriez, Pierre-Eric Lutz

“…Performance of MDD prediction was systematically compared across 6 methods for dimensionality reduction, and for every combination of 1, 2 or 3 types of molecular data. …”
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Unraveling the immunological landscape and gut microbiome in sepsis: a comprehensive approach to diagnosis and prognosisResearch in context by Yali Luo, Jian Gao, Xinliang Su, Helian Li, Yingcen Li, Wenhao Qi, Xuling Han, Jingxuan Han, Yiran Zhao, Alin Zhang, Yan Zheng, Feng Qian, Hongyu He

“…A prognostic model based on the proportion of total lymphocytes, Helper T (Th) 17 cells, CD4+ effector memory T (TEM) cells, and Th1 cells in CD45+ leukocytes achieved robust outcome prediction (AUC = 0.906, 95% CI: 0.732–1.000), with further accuracy improvement when combined with clinical scores (AUC = 0.938, 95% CI: 0.796–1.000). …”
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The Response of Radiative Forcing to High Spatiotemporally Resolved Land‐Use Change and Transition From 1982 to 2010 in China by Xiaohu Jian, Xiaodong Zhang, Yijie Liu, Xinrui Liu, Kaijie Chen, Linfei Wang, Jixiang Li, Yuan Zhao, Jinmu Luo, Ruiyu Zhugu, Jianmin Ma

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Role of thermal and dynamical subdaily perturbations over the Tibetan Plateau in 30-day extended-range forecast of East Asian precipitation in early summer by Bian He, Xinyu He, Yimin Liu, Guoxiong Wu, Qing Bao, Wenting Hu, Chen Sheng, Shijian Feng

“…In this study, we investigated the role of subdaily thermodynamic forcing across the TP in generating 30-day predictions of precipitation in East Asia by conducting a series of hindcast experiments. …”
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Tracing the Geographical Origins of Dendrobe (Dendrobium spp.) by Near-Infrared Spectroscopy Sensor Combined with Porphyrin and Chemometrics by Chaogeng Lv, Yali He, Chuanzhi Kang, Li Zhou, Tielin Wang, Jian Yang, Lanping Guo

“…In the PLSDA model, the recognition rate of the training and prediction set of the TMPP-NIR could reach 100%, which was higher than the 91.85% and 91.34% of traditional NIR. …”
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CONUS+ Experiment by N. Ackermann, S. Armbruster, H. Bonet, C. Buck, K. Fülber, J. Hakenmüller, J. Hempfling, G. Heusser, M. Lindner, W. Maneschg, K. Ni, M. Rank, T. Rink, E. Sánchez García, I. Stalder, H. Strecker, R. Wink, J. Woenckhaus, CONUS Collaboration

“…The impact of all these modifications is discussed with particular emphasis on the resulting CE $$\nu $$ ν NS signal prediction for the first data collection phase of CONUS+. …”
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Advancements in Managing Anthracycline-Induced Cardiotoxicity: Insights from Interventional Clinical Trials by Zhao M, Zhang X, Zhou D, Song J

“…Mei Zhao,1 Xiaohong Zhang,1 Dongyang Zhou,2 Junxian Song3– 5 1Department of Pharmacy, Peking University People’s Hospital, Beijing, People’s Republic of China; 2Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK; 3Department of Cardiology, Peking University People’s Hospital, Beijing, People’s Republic of China; 4Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Peking University People’s Hospital, Beijing, People’s Republic of China; 5Center for Cardiovascular Translational Research, Peking University People’s Hospital, Beijing, People’s Republic of ChinaCorrespondence: Junxian Song, Department of Cardiology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, People’s Republic of China, Email sjx221@163.comPurpose: Anthracycline-induced cardiotoxicity (AIC) is a significant complication in cancer treatment, impacting long-term health outcomes. …”
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An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems by Ping Yu, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, Afef Fekih

“…To this end, a fractional order extended state observer (FOESO) is adopted to predict the tremor measurement signals of the accelerometer sensor. …”
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Causal Discovery of Flight Service Process Based on Event Sequence by Qian Luo, Lin Zhang, Zhiwei Xing, Huan Xia, Zhao-Xin Chen

“…Most ground support studies mainly use machine learning methods to predict flight delays, and the flight support model they are based on is an ideal model. …”
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In Silico Analysis Revealed Five Novel High-Risk Single-Nucleotide Polymorphisms (rs200384291, rs201163886, rs193141883, rs201139487, and rs201723157) in ELANE Gene Causing Autosom... by Khyber Shinwari, Mikhail A. Bolkov, Muhammad Yasir Akbar, Liu Guojun, Svetlana S. Deryabina, Irina A. Tuzankina, Valery. A. Chereshnev

“…This research sheds light on how ELANE failure upon mutation results in disease progression, including congenital neutropenia, and validation of these novel predicted nsSNPs is required through the wet lab.…”
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Regulation of reactive oxygen species and the role of mitochondrial apoptotic-related genes in rheumatoid arthritis by Conghui Gao, Chengqiang Zhang, Lixing Wen, Gailian Zhang, Xiaoping Liu, Jie Wang, Luping Cui, Rui Li, Tingting Nie, Jiaoniu Duan, Yingying Guo

“…Gene Set Enrichment Analysis (GSEA), regulatory network, and drug prediction explored biomarker mechanisms. Finally, key cells analysis included clustering, type annotation, pseudo-temporal study, and interaction, focusing on validated biomarker expression in those cells. …”
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Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook by Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Souheil Hallit, Souheil Hallit, Diana Malaeb, Hassan Hosseini, Hassan Hosseini

“…BackgroundArtificial intelligence (AI) has emerged as a transformative tool in oncology, offering promising applications in chemotherapy development, cancer diagnosis, and predicting chemotherapy response. Despite its potential, debates persist regarding the predictive accuracy of AI technologies, particularly machine learning (ML) and deep learning (DL).ObjectiveThis review aims to explore the role of AI in forecasting outcomes related to chemotherapy development, cancer diagnosis, and treatment response, synthesizing current advancements and identifying critical gaps in the field.MethodsA comprehensive literature search was conducted across PubMed, Embase, Web of Science, and Cochrane databases up to 2023. …”
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Transcriptomic signatures of severe acute mountain sickness during rapid ascent to 4,300 m by Ruoting Yang, Aarti Gautam, Rasha Hammamieh, Robert C. Roach, Beth A. Beidleman

“…The proposed biomarker panels offer promising avenues for the early diagnosis and prediction of AMS risk, which could enhance preventive and therapeutic strategies.…”
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Efficacy of Hymecromone in Post-Cholecystectomy Patients by A V. Okhlobystin, A. К. Ufimtseva, M. A. Tatarkina, O. Z. Okhlobystina, V. T. Ivashkin

“…Transabdominal ultrasound may be applied as a reliable test for both prediction of treatment efficacy and to monitor patients state during treatment course.…”
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing by Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat

“…Conclusions The application of ML to EMR can accurately predict amebiasis. This finding significantly contributes to the emerging use of ML as a decision support system in parasitic disease diagnosis. …”
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Theoretical framework for measuring cloud effective supersaturation fluctuations with an advanced optical system by Y. Kuang, J. Tao, H. Xu, L. Liu, P. Liu, W. Xu, W. Xu, Y. Sun, C. Zhao

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