COMPLEX ELECTROMAGNETIC MONITORING OF GEODYNAMIC PROCESSES IN THE NORTHERN TIEN SHAN (BISHKEK GEODYNAMIC TEST AREA) by E. A. Bataleva, V. A. Mukhamadeeva

“…The data from the 2004–2016 KNET Catalogue of the Research Station of RAS were analyzed in order to investi‐ gate the relationship between the space‐time seismicity distribution and the electrical conductivity variations that correspond to the features of the seismicity pattern at depth. …”
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Functional Connectivity Biomarker Extraction for Schizophrenia Based on Energy Landscape Machine Learning Techniques by Janerra D. Allen, Sravani Varanasi, Fei Han, L. Elliot Hong, Fow-Sen Choa

“…Schizophrenia is associated with impaired functional connectivity but characterizing the complex abnormality patterns has been challenging. In this work, we used resting-state functional magnetic resonance imaging (fMRI) data to measure functional connectivity between 55 schizophrenia patients and 63 healthy controls across 246 regions of interest (ROIs) and extracted the disease-related connectivity patterns using energy landscape (EL) analysis. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…After feature extraction is completed, we further perform classification using a classifier based on a bidirectional gated recurrent unit (GRU) network, which is able to efficiently process sequence data and reduce computational complexity while capturing temporal dependencies in the sequences. …”
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Free and Open: A Descriptive Study of Energy and Sustainability Programming Geared Toward Adult Learners by Corey Young

“…This study investigates participation patterns in publicly accessible educational events organized by a college policy and research center. …”
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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…It has been claimed that there is a correlation between this type of irregularization process and high word frequencies. The real rate and nature of these double-marked forms have rarely been documented. …”
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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Evaluating anti-MRSA antibiotic stewardship with a focus on trends in consumption and resistance in a tertiary hospital in Alexandria, Egypt from 2019 to 2023 by Ehab Elmongui, Adel Zaki, Amel Elsheredy, Asmaa Abd Elhameed

“…The study compared these consumption patterns with resistance rates in Staphylococcus spp., including MRSS, from January 2020 to December 2023. …”
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Spatiotemporal Analysis of Disease Spread Using a Soliton-Based SIR Framework for Nomadic Populations by Qura Tul Ain, Xiaoli Qiang, Noor Ul Ain, Zheng Kou

“…Numerical simulations demonstrate the effects of varying key parameters such as transmission rates, recovery rates, and advection–diffusion coefficients on the epidemic’s progression. …”
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An FPGA-Based Training System for a 1T1R Memristor Array With 500 nS Conductance Resolution Limit by Liujie Li, Chuantong Cheng, Beiju Huang, Ke Ding, Yuxin Li, Ganggang Guo

“…In this research, we propose a training system based on a field programmable gate array (FPGA) to precisely modulate the conductance states of the 1T1R memristor arrays. …”
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Characterizing timber harvest occurrence and intensity to inform forest carbon management across the eastern United States by Matthew B. Russell, Catherine J. Chamberlain, Lynn Riley, Natalia A. Mushegian, John S. Gunn, Ethan P. Belair, Sebastian U. Busby

“…Timber harvesting plays an important role in determining how forest management practices influence carbon storage and sequestration patterns. We analyzed recent harvesting patterns across the eastern United States to quantify harvest area, intensity, and type of silviculture across timberlands. …”
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The role of city parks in creating ‘wellbeing societies’: A case study of Piłsudski Park in Łódź, Poland by Melanie Kay Smith, Joanna Kowalczyk-Anioł, Jakub Janiszewski, Karolina Grabarczyk

“…Although social interactions are rated lower overall, they are particularly significant for younger and older users, as well as marginalized groups such as unemployed individuals. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…The high accuracy and low false positive rates enable utilities to recover unbilled revenue and reduce inspection costs, amplifying savings compared to raw data or traditional approaches. …”
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Importance of hospital-specific antibiotic policy for ensuring maternal quality of care in India: A narrative review by Arijit Banerjee, Jhuma Biswas

“…Recommendations were adapted to local resistance patterns, resource availability, and patient demographics. …”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…The system incorporates a sophisticated reward mechanism that balances performance gains against migration overhead, while employing prioritized experience replay and adaptive learning rates to handle non-stationary workload characteristics. …”
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Residential solar adoption—main determinants and the future of small-scale photovoltaics by Severin Reissl, Luis Sarmiento, Johannes Emmerling

“…We present a data-driven microsimulation model analyzing residential photovoltaic adoption in Germany to address uncertainties in future adoption rates. We develop and calibrate a technology adoption model incorporating economic, financial, and behavioral factors to replicate historical adoption patterns from 2007 to 2020 and project future scenarios. …”
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Mapping the mismatch between building and population growth: A global study of 1,700 cities by Siwei Lou, Yu Huang, Yukai Zou, Dawei Xia

“…Summary: The proportionality between urban building expansion and population growth is a key indicator of sustainable development, yet its global patterns and drivers remain underexplored. This study investigates the discrepancies between building volume and population growth rates (ΔR) across 1,744 cities in 12 major global economies from 2000 to 2020 using satellite-based building volume and population databases. …”
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Global stroke burden attributable to household air pollution: Insights from GBD 2021 and projections to 2040. by Manqing Li, Shicheng Liao, Chao Wang, Haojia Ma, Xiumei Xing, Jianhui Yuan, Jie Jiang, Zhuoying Zeng

“…From 1990-2021, age-standardized death rates (EAPC = -0.37), DALY rates (EAPC = -0.20), and YLL rates (EAPC = -0.30) decreased, while YLD rates increased (EAPC = 1.11). …”
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Combined effects of major rule changes impact injury profile in elite taekwondo athletes: an analysis of 2663 athletes from the 2017, 2019 and 2022 World Taekwondo Championships by Sae Yong Lee, Dae Hyoun Jeong, Heeseong Jeong, Suji Yoon, Se Jong Kim

“…Injury patterns shifted, with fewer head and neck injuries and more upper extremity injuries. …”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

“…We then used the state obesity rates from the Behavioral Risk Factor Surveillance System (BRFSS) to assess the correlation between state obesity rates and dietary images on Twitter. …”
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Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study by Cristina Crocamo, Riccardo Matteo Cioni, Aurelia Canestro, Christian Nasti, Dario Palpella, Susanna Piacenti, Alessandra Bartoccetti, Martina Re, Valentina Simonetti, Chiara Barattieri di San Pietro, Maria Bulgheroni, Francesco Bartoli, Giuseppe Carrà

“… Abstract BackgroundMonitoring symptoms of bipolar disorder (BD) is a challenge faced by mental health services. Speech patterns are crucial in assessing the current experiences, emotions, and thought patterns of people with BD. …”
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