The Diagnostic and Prognostic Value of the 12-Lead ECG in Arrhythmogenic Left Ventricular Cardiomyopathy by Leonardo Calò, MD, Cinzia Crescenzi, MD, Andrea Di Marco, MD, PhD, Francesca Fanisio, MD, Fabiana Romeo, MD, Alessio Gargaro, MSc, Annamaria Martino, MD, PhD, Chiara Cappelletto, MD, Marco Merlo, MD, Mattia Targetti, MD, Elisabetta Toso, MD, Federica Toto, MD, Maria Beatrice Musumeci, MD, Giacomo Tini, MD, Michele Ciabatti, MD, Matteo Stefanini, MD, Stefano Canestrelli, MD, Elisa Fedele, MD, Chiara Lanzillo, MD, PhD, Armando Fusco, MD, PhD, Federica Carla Sangiuolo, MD, PhD, Cinzia Radesich, MD, Maria Perotto, MD, Maurizio Pieroni, MD, Ruggiero Mango, MD, PhD, Alessio Gasperetti, MD, PhD, Camillo Autore, MD, Michela Casella, MD, PhD, Antonio Dello Russo, MD, PhD, Davide Stolfo, MD, PhD, Mikael Laredo, MD, PhD, Estelle Gandjbakhch, MD, PhD, Maddalena Graziosi, MD, PhD, Elena Biagini, MD, PhD, Costantina Catalano, MD, Ludovica Barile, MD, Fabrizio Drago, MD, Marianna Cicenia, MD, Anwar Baban, MD, PhD, Gemma Pelargonio, MD, PhD, Maria Lucia Narducci, MD, Federica Re, MD, Giovanni Peretto, MD, Elena Paiotti, MD, Carles Diez Lopez, MD, Iacopo Olivotto, MD, Fiorenzo Gaita, MD, Gianfranco Sinagra, MD, Giuseppe Novelli, MD, PhD

“…In multivariable analysis, LPFB (OR: 4.7; 95% CI: 1.2-18.3), syncope (OR: 84.95; 95% CI: 14-496), transmural late gadolinium enhancement (OR: 9.95; 95% CI: 2.3-36), and right ventricular ejection fraction (OR: 0.92; 95% CI: 0.87-0.97) were the independent predictors of MAE. The model including these 4 variables achieved a remarkable predictive capability (area under the curve: 0.9). …”
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Optimizing Phase Change Materials for Volatility Management in Solar-Driven CO2 Methane Dry Reforming by Baoa Ronglei, Liub Xianglei, Yaoc Haichen

“…This study proposes a passive thermal management approach by integrating phase change materials (PCMs) with structural optimization to mitigate the effects of solar radiation variability. A comprehensive numerical model was developed to simulate the solar-driven CRM process in a porous foam reactor, incorporating solar radiation transport, heat transfer, and thermochemical kinetics. …”
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scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data. by Fengdi Zhao, Xin Ma, Bing Yao, Qing Lu, Li Chen

“…Motivated by real data exploration that distribution difference exists among cell types, we introduce a novel composite statistical test named "scaDA", which is based on zero-inflated negative binomial model (ZINB), for performing differential distribution analysis of chromatin accessibility by jointly testing the abundance, prevalence and dispersion simultaneously. …”
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Thermohydraulic Performance in SMR Reactors with Mixed Oxide (U, Th)O2 Fuel: A Computational Approach by Pedro Emanuel Moraes Santos, Mariana Cecilia Betancourt, Leorlen Yunier Rojas Mazaira, Carlos Rafael García Hernández, Dany Sanchez Dominguez, Carlos Alberto Brayner de Oliveira Lira

“…Utilizing a Computational Fluid Dynamics (CFD) model implemented in OpenFOAM, this study considers the variability of the thermophysical properties of the materials as influenced by temperature changes. …”
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Increasing Fire Weather Season Overlap Between North America and Australia Challenges Firefighting Cooperation by Doug Richardson, Andreia F. S. Ribeiro, Fulden Batibeniz, Yann Quilcaille, Andrea S. Taschetto, Andrew J. Pitman, Jakob Zscheischler

“…Composites of ERA5 and CMIP6 sea surface temperatures suggest a link between the interannual variability of overlap and the El Niño‐Southern Oscillation, despite this climate mode's opposing relationship with fire weather in the two regions. …”
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Deciphering cholangiocarcinoma heterogeneity and specific progenitor cell niche of extrahepatic cholangiocarcinoma at single-cell resolution by Chunliang Liu, Xiang Wang, Erdong Liu, Yali Zong, Wenlong Yu, Youhai Jiang, Jianan Chen, Mingye Gu, Zhengyuan Meng, Jingfeng Li, Yang Liu, Yongjie Zhang, Jing Tang, Hongyang Wang, Jing Fu

“…Findings were validated using external multi-omics datasets, tissue microarray cohort, spatial RNA in situ sequencing, CCA patient-derived organoids (PDOs), and mouse models. Results iCCAs and eCCAs exhibited distinct tumor ecosystems, with notable differences in cellular composition, diversity, and abundance across various cell types. …”
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Beyond the closed-forest paradigm: Cross-scale vegetation structure in temperate Europe before the late-Quaternary megafauna extinctions by Elena A. Pearce, Florence Mazier, Charles W. Davison, Oliver Baines, Szymon Czyżewski, Ralph Fyfe, Krzysztof Bińka, Steve Boreham, Jacques-Louis de Beaulieu, Cunhai Gao, Wojciech Granoszewski, Anna Hrynowiecka, Małgorzata Malkiewicz, Tim Mighall, Bożena Noryśkiewicz, Irena Agnieszka Pidek, Jaqueline Strahl, Hanna Winter, Jens-Christian Svenning

“…Using LOVE (Local Vegetation Estimates) and REVEALS (Regional Estimates of VEgetation Abundance from Large Sites) models, this study reconstructs vegetation patterns across local (∼9 km²) and regional (∼100 km²) scales. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…The model attains an average accuracy of 80.3% on the training set and 81.5% on the test set, with a total parameter count of 15.8 million—56–86% fewer than comparable models (e.g., ResNet50, InceptionV3). …”
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A randomized controlled trial to study the effect of supplemental premilking stimulation on milking performance, teat tissue condition, udder health, and well-being in dairy cows by A. Singh, M.E. Spellman, H. Somula, J.A. Valdevieso, R. Palme, M. Wieland

“…Generalized linear mixed models were used to study the effect of treatments on the outcome variables milk yield per milking and milking unit-on time. …”
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Multilevel and multidimensional features of socioeconomic status and cognitive function in older adulthood: a cross-sectional analysis of the IGNITE studyResearch in context by Jermon A. Drake, Lu Wan, Chaeryon Kang, Peter J. Gianaros, Patricio Solis-Urra, Haiqing Huang, Rebecca Reed, Charles H. Hillman, Eric D. Vidoni, Jeffrey M. Burns, Arthur F. Kramer, Edward McAuley, George Grove, Kirk I. Erickson, Lauren E. Oberlin

“…We generated a novel objective SES latent factor from measures of income, savings, debt-adjusted savings, and financial stability using full information maximum likelihood to address missing data, and examined cross–sectional associations of SES indicators with each cognitive domain as outcome variables in multivariable regression models. Findings: This study included 648 cognitively unimpaired older adults (69.88 (3.75) years; 71% female). …”
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Panoramic spatial enhanced resolution proteomics (PSERP) reveals tumor architecture and heterogeneity in gliomas by Ziyan Xu, Yunzhi Wang, Tao Xie, Rongkui Luo, Heng-Li Ni, Hang Xiang, Shaoshuai Tang, Subei Tan, Rundong Fang, Peng Ran, Qiao Zhang, Xiaomeng Xu, Sha Tian, Fuchu He, Wenjun Yang, Chen Ding

“…The PSERP approach facilitates rapid quantitative profiling of proteomic spatial variability in whole tissue sections at sub-millimeter resolution. …”
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Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning by A. Olivelli, A. Olivelli, A. Olivelli, R. Arcucci, M. Rehkämper, T. van de Flierdt

“…Here, we present three machine learning models developed to map seawater Pb concentrations and isotope compositions, leveraging the global GEOTRACES dataset as well as historical data. …”
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CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

“…ObjectiveThis research aims to comprehensively investigate the operational dynamics of a 10t/d sludge and biomass co-incineration fluidized bed reactor through Computational Particle Fluid Dynamics (CPFD) modeling, addressing critical gaps in industrial-scale waste valorization. …”
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Pharmacogenetic and pharmacokinetic factors for dexmedetomidine-associated hemodynamic instability in pediatric patients by Yanping Guan, Bilian Li, Yiyu Zhang, Hao Luo, Xueding Wang, Xue Bai, Zhuoling Zheng, Yaying Huang, Wei Wei, Min Huang, Xingrong Song, Guoping Zhong

“…PurposeThe incidence of hemodynamic instability associated with dexmedetomidine (DEX) sedation has been reported to exceed 50%, with substantial inter-individual variability in response. Genetic factors have been suggested to contribute significantly to such variation. …”
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Committee Machine Learning for Electrofacies-Guided Well Placement and Oil Recovery Optimization by Adewale Amosu, Dung Bui, Oluwapelumi Oke, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Najmudeen Sibaweihi, William Ampomah

“…In this study, we develop a workflow that mitigates the variability in results produced by different clustering algorithms using a committee machine. …”
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Global, regional, and national burden of female infertility and trends from 1990 to 2021 with projections to 2050 based on the GBD 2021 analysis by Jie Liu, Yi Qin, Hui Liu, Yonglin Liu, Yi Yang, Yumei Ning, Huijun Ye

“…Lastly, the autoregressive composite moving average model was applied to forecast future disease burdens. …”
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Effects of sudden stratospheric warmings on the global ionospheric total electron content using a machine learning analysis by G. Ma, K. Hocke, K. Hocke

“…However, the SSW-induced tidal variability in the mid- to high-latitude ionosphere is only identified for several events, and its behaviour is not well understood. …”
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Investigating context-specific sedentary behaviours and cardiometabolic health in college-based young adults (CONTEXT-SB): a protocol for a longitudinal observational study by Justin B Moore, Lee Stoner, Craig Paterson, Feng-Chang Lin, Emma Cowley, Michelle L Meyer, Jake Christopher Diana, Aiden James Chauntry, Jeb F Struder, Patricia Pagan-Lassalle, Erik D Hanson

“…Two laboratory visits will occur, spaced 12 months apart, where a novel composite CMD risk score (eg, arterial stiffness, metabolic and inflammatory biomarkers, heart rate variability and body fat distribution) will be calculated, and questionnaires to measure lifestyle behaviours and levels of the socioecological model will be administered. …”
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Digitally mapping soil health at regional scale: disentangling drivers and predicting spatial land use effects by Valentina Rubio, Joseph Amsili, David G. Rossiter, Andrew McDonald, Harold van Es

“…Four biological (soil organic matter, permanganate-oxidizable C, protein, and respiration) and two physical (water aggregate stability and available water capacity) soil indicators as well as a composite SH index were evaluated to 1) quantify the relationships among climate, inherent soil properties, and land use to SH indicators; 2) develop data-driven models for predicting and mapping SH indicators at regional scale; and 3) use predicted SH maps to estimate impacts from hypothetical regional land use change scenarios. …”
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Health program for prEvention of cardiovascuLar disEases based on a risk screeNing strategy with Ankle-brachial index: HELENA study protocol by Gina Domínguez-Armengol, Gina Domínguez-Armengol, Francesc Ribas-Aulinas, Francesc Ribas-Aulinas, Elisabet Balló, Maite Alzamora-Sas, Maite Alzamora-Sas, Mar Serrat-Costa, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Maria Jose Forcadell-Peris, Maria Jose Forcadell-Peris, Pere Toran, Ruth Martí-Lluch, Ruth Martí-Lluch, Ruth Martí-Lluch, Anna Ponjoan, Anna Ponjoan, Anna Ponjoan, Jordi Blanch, Lia Alves-Cabratosa, Lluís Zacarías-Pons, Lluís Zacarías-Pons, Eric Tornabell-Noguera, Eric Tornabell-Noguera, Álvaro Sánchez-Pérez, Álvaro Sánchez-Pérez, Anna Berenguera-Ossó, Anna Berenguera-Ossó, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, The HELENA Study Group

“…Survival analysis will estimate the effectiveness of adding the ABI screening strategy, with Cox models (intention-to-treat) and marginal structural models controlling for confounding variables.Results and discussionDirect health improvements in the intervened population are expected, including a reduction in CHD incidence and its risk factors. …”
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