Neurocardiac signatures of acute mental stress: a sex-comparative study by Selina C. Wriessnegger, Lena Lorenzer, Kyriaki Kostoglou

“…While alpha asymmetry was modulated in both sexes, its behavioral relevance and spatial patterns differed.DiscussionThese findings highlight the need for sex-specific models in neuroadaptive systems and stress-monitoring technologies.…”
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Dynamic evolution of innovation efficiency of China’s new energy enterprises by Tian Zhao, Meilu Sun, Jiangxiang Zhang

“…This study examines spatiotemporal patterns and drivers from 2015–2023.MethodsInnovation efficiency was measured via SFA model, differentiating R&D and transformation phases. σ- and β-convergence tracked disparities and catch-up dynamics. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…However, traditional spatial partitioning approaches, which divide cities into predefined police districts based on geographic and operational considerations, often fail to account for variations in crime patterns. …”
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The default mode network and the working memory network are not anti-correlated during all phases of a working memory task. by Tommaso Piccoli, Giancarlo Valente, David E J Linden, Marta Re, Fabrizio Esposito, Alexander T Sack, Francesco Di Salle

“…<h4>Conclusions</h4>Our results demonstrate that the well-established dichotomy of the human brain (anti-correlated networks during rest and balanced activation-deactivation during cognition) has a more nuanced organization than previously thought and engages in different patterns of correlation and anti-correlation during specific sub-phases of a cognitive task. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…However, limited observational coverage and resolution emphasize the need for further research to explore long-term temporal changes and better grasp the influences of ambient currents and wind patterns. Such insights are vital for effective coastal management and environmental monitoring in the SIS region.…”
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Fault Detection for Power Batteries Using a Generative Adversarial Network with a Convolutional Long Short-Term Memory (GAN-CNN-LSTM) Hybrid Model by Shaofan Liu, Tianbao Xie, Yanxin Li, Siyu Liu

“…Then, the CNN-LSTM module directly processes raw multivariate time-series data, combining the capability of CNN in extracting local spatial patterns with the LSTM strength in modeling temporal dependencies, enabling accurate identification of battery faults. …”
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People’s preferences for commuting in sparsely populated areas: The case of Sweden by Kerstin Westin, Erika Sandow

“…With respect to travel patterns and mode choice, a gender perspective is included in the analyses. …”
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Brain Imaging Findings in Dyslexia by Ying-Fang Sun, Jeun-Shenn Lee, Ralph Kirby

“…Reduced neural activities in the left temporal and left parietal cortices, and diffuse widespread activation patterns in the cerebellum could be detected using functional magnetic resonance imaging. …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…The convolutional layers capture spatial patterns, while BiLSTM layers learn sequential dependencies. …”
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Coconut tree modeling based on abiotic factors and modified cosserat rod theory by Sakthiprasad Kuttankulangara Manoharan, Rajesh Kannan Megalingam

“…By considering unique features of coconut trees and environmental influences, the model offers more accurate predictions compared to existing approaches, enhancing our understanding of coconut tree biomechanics and growth patterns. Coconut tree modeling has diverse applications in precision agriculture, automated harvesting, tree health monitoring, climate change analysis, urban planning, and the biomass industry, helping optimize yield, resource management, and sustainability. …”
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Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand by Nathaporn Areerachakul, Jaya Kandasamy, Saravanamuthu Vigneswaran, Kittitanapat Bandhonopparat

“…The Kriging method was employed to estimate the spatial distribution of rainfall over the catchment area. …”
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Hydrochemical Characteristics and Evolution Laws of Drinking Groundwater in Pengyang County, Ningxia, Northwest China by Li Peiyue, Qian Hui, Wu Jianhua

“…The purpose of the paper is to identify the chemical characteristics of drinking groundwater and its distribution patterns in Pengyang County and to discover the hydrochemical evolution laws of groundwater. …”
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One size doesn’t fit all: regional dynamics in pediatric emergency visits during the SARS-CoV-2 pandemic by Michelle Seiler, Gregory Biland, Oliver Gruebner, Oliver Gruebner, Sergio Manzano, Gianluca Gualco, Marc Sidler, Ursula Laasner, Julia Dratva, Julia Dratva, Michael von Rhein

“…However, little is known about regional variations in pediatric ED use and spatial distribution patterns across Switzerland. …”
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Phosphorus transitions driven by cyclone biparjoy linked middle east North Africa (MENA) and Indian Thar Desert dust storm pathways in Asia’s largest grassland by Rupak Dey, Seema B. Sharma, Mahesh G. Thakkar, Ranjit Kumar Sarangi, Abhiroop Chowdhury, Aliya Naz

“…Dust storms and other atmospheric circulation patterns were found to play pivotal roles in facilitating the long-range transport of phosphorus-laden dust particles from these source regions to the target grassland. …”
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Effects of a 12-Week Moderate-to-High Intensity Strength Training Program on the Gait Parameters and Their Variability of Stroke Survivors by Georgios Giarmatzis, Erasmia Giannakou, Ioanna Karagiannakidou, Evangelia Makri, Anna Tsiakiri, Foteini Christidi, Paraskevi Malliou, Konstantinos Vadikolias, Nikolaos Aggelousis

“…The intervention predominantly influenced the spatial parameters, with modest changes in the temporal aspects, suggesting that enhanced force production and control primarily affect step execution while preserving temporal gait patterns.…”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Our machine learning approach established an activity threshold, above which divergent wavefront patterns—termed “significant sources”—predicted AF recurrence. …”
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Individual-level cortical morphological network analysis in idiopathic normal pressure hydrocephalus: diagnostic and prognostic insights by Yifeng Yang, Meijing Yan, Lianxi Sun, Xiao Liu, Xuhao Fang, Shihong Li, Guangwu Lin

“…Results Both iNPH and AD exhibited disrupted MIND network topology versus HC, including lower clustering coefficient, global efficiency, and local efficiency (all p < 0.05). Distinct spatial patterns emerged: iNPH showed localized lower values in cingulate subregions (degree centrality, node efficiency, MINDs), whereas AD demonstrated widespread alterations in fusiform, insular, and temporoparietal cortices. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…By analysing data from sensors and system logs, ML algorithms can identify patterns indicative of faults or inefficiencies, such as shading, soiling, or equipment malfunctions, often before they become serious issues. …”
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Applying global NASA data to local planning for extreme heat in Prince George’s County, Maryland by Stephanie Schollaert Uz, Katharine C. Stover, Katharine C. Stover, Samantha L. Smith, Samantha L. Smith, Debra M. Collier, Jacob Riley, Evelyn H. Hoban

“…Prior to partnering with NASA, the county was using sparse in situ temperature records, extremely valuable and essential for ground-truthing satellite data, but limited spatially and temporally. The addition of space-based data augments these few ground-based measurements with a broad view of spatial and temporal temperature trends that can be layered with additional county data to help identify areas of increased heat with land use change patterns. …”
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Analysis of the current situation and factors influencing the utilization of somatic and somatic-mental disorder comorbidity and health services among middle-aged and older adult p... by Mo Xue, Qianqian Zhang, Jialing Wu, Kan Tian

“…The patterns of comorbidity exhibited a complex network structure, with arthritis or rheumatism, hypertension, and stomach or other digestive disorders serving as core nodes. …”
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