Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization by Edith Heiter, Robin Vandaele, Tijl de Bie, Yvan Saeys, Jefrey Lijffijt

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A Low-Cost Wireless Monitoring System for Photovoltaic Systems: Performance Analysis and Potential Application in Direct-Current Nanogrids by Norman J. Beltrán Castañón, Fredy Chura Acero, José Ramos Cutipa, Omar Chayña Velásquez, Henry Shuta Lloclla, Edisson Cruz Ticona

“…The unique challenges posed by the high altitude and extreme-irradiance variability in the Peruvian Altiplano necessitate innovative and cost-effective monitoring solutions for photovoltaic (PV) systems. This study presents a low-cost wireless monitoring system for PV systems, designed for performance analysis and with potential application in DC nanogrids. …”
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Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study by Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili, Mahdi Akbarzadeh

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Wireless Transmission System of Medium/low Speed Maglev Train Message Based on GPRS and WLAN by 袁文烨, 许义景, 陈建校

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Economic and healthcare determinants of under-five mortality in low-income countries by Vageesha Rajapakse, Adeesha Fernando, Nikini Sudangama, Damindu Adikari, Ashwathy Sundaram, Ruwan Jayathilaka

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KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri languageMendeley Data by Bashir Maina Saleh, Saurabh Bilgaiyan, Santwana Sagnika

“…While the dataset is designed specifically for sentiment analysis, its cultural and linguistic authenticity makes it a valuable benchmark for evaluating sentiment models in low-resource language settings and advancing equitable language technology in Africa.…”
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Using nutritional survey data to inform the design of sugar-sweetened beverage taxes in low-resource contexts: a cross-sectional analysis based on data from an adult Caribbean population by Jean Adams, Nigel Unwin, Ian Hambleton, Fumiaki Imamura, Rachel Harris, Miriam Alvarado, Angela Rose

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ANALYSIS OF THE CAUSES OF LOW OIL RECOVERY by Nikolai Buktukov, Rustem Igizbaev, Gulnaz Moldabayeva, Evgenii Gumennikov, Elmira Yesbergenova

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Global burden of occupational ergonomic factor-induced low back pain, 1990~2021: data analysis and projections of the global burden of disease by Meng Wu, Peihong Wu, Huaye Lu, Lei Han, Xin Liu, Xin Liu

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Frequency, combinations and clinical relevance of outpatient low back pain diagnoses: analysis of claims data in a population-based cohort study by Elisa Kasbohm, Jean-François Chenot, Carsten Oliver Schmidt, Julia Truthmann

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Physical activity and cognitive function in adults born very preterm or with very low birth weight-an individual participant data meta-analysis. by Kristina Anna Djupvik Aakvik, Silje Dahl Benum, Marjaana Tikanmäki, Petteri Hovi, Katri Räikkönen, Sarah L Harris, Lianne J Woodward, Brian A Darlow, Marit S Indredavik, Stian Lydersen, Paul Jarle Mork, Eero Kajantie, Kari Anne I Evensen

“…We performed an individual participant data meta-analysis to examine whether being born preterm/with very low birth weight is associated with physical activity in adulthood and examined if cognitive function mediates this association.…”
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The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults by Jan Vindiš, Jana Pelclová, Paulína Jašková, Karel Hron

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VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes by Gabriela C. Theis Marchan, Pegah Naghshnejad, Andrew Okafor, Jose A. Romagnoli

“…This study presents a novel approach to enhancing molecular property prediction through variational autoencoder (VAE)-assisted data augmentation in low-data regimes. The methodology combines graph neural networks (GNNs) with VAEs to improve predictive accuracy on molecular datasets from MoleculeNet, specifically ESOL (water solubility) and FreeSolv (hydration-free energy). …”
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Risk factors associated with progression from pre‐eclampsia to eclampsia: A prospective cohort study and population‐wide data analysis by Annettee Nakimuli, Brittany A. Jasper, Sarah Nakubulwa, Moses Adroma, Jackline Akello, Imelda Namagembe, Musa Sekikubo, Eve Nakabembe, Ashley Moffett, Catherine E. Aiken

“…We identify risk factors for the progression of pre‐eclampsia to eclampsia in low‐ and middle‐income settings. Material and methods Women diagnosed with pre‐eclampsia were prospectively recruited at a single tertiary referral centre in urban Uganda (2011–2016). …”
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Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders by Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan

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Association of low socioeconomic status with cognitive decline among older persons in underdeveloped areas in China – a data analysis of the Gansu aging study by Juxia Zhang, Yuping Feng, Xiaoli Zhang, Jing wang, Hu Cheng, Yunhua Wang, Jiancheng Wang

“…Methods Data from the Gansu Aging Study in 2022 including 3241 participants. …”
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Behavioural factors associated with cigarette quitting behaviour: an analysis of cross-sectional survey data collected in three low-income South African communities by Laura Rossouw, Samantha Filby

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The effect of prenatal balanced energy and protein supplementation on gestational weight gain: An individual participant data meta-analysis in low- and middle-income countries. by Dongqing Wang, Uttara Partap, Enju Liu, Janaína Calu Costa, Ilana R Cliffer, Molin Wang, Sudeer Kumar Nookala, Vishak Subramoney, Brittany Briggs, Imran Ahmed, Alemayehu Argaw, Shabina Ariff, Nita Bhandari, Ranadip Chowdhury, Daniel Erchick, Armando García-Guerra, Masoumah Ghaffarpour, Giles Hanley-Cook, Lieven Huybregts, Fyezah Jehan, Fatemeh Kaseb, Nancy F Krebs, Carl Lachat, Tsering Pema Lama, Dharma S Manandhar, Elizabeth M McClure, Sophie E Moore, Ameer Muhammad, Lynnette M Neufeld, Andrew M Prentice, Amado D Quezada-Sánchez, Dominique Roberfroid, Naomi M Saville, Yasir Shafiq, Bhim P Shrestha, Bakary Sonko, Sajid Soofi, Sunita Taneja, James M Tielsch, Laéticia Céline Toe, Naser Valaei, Wafaie W Fawzi

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How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data. by Bernard X W Liew, Jon J Ford, Marco Scutari, Andrew J Hahne

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Low-Redshift Observational Constraints on Dark Energy Cosmologies by Mohammad Malekjani

“…Applying the Markov chain Monte Carlo algorithm and using low-redshift observational data, we put cosmological constraints on dark energy cosmologies. …”
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