Utilization of PS-InSAR for Analyzing Land Subsidence in the Bandung Basin, Indonesia using Sentinel-1A Data by DEWI KANIA SARI, HENRI KUNCORO, RIAN NURTYAWAN

“…Eight Sentinel-1A images, acquired between January and December 2019, were processed using SNAP and STAMPS software. The results indicate that deformation rates in the Bandung Basin range from -133 to 98 mm/year, with the most significant subsidence occurring in Bandung City and Bandung Regency. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Exploring focal adhesion data: dynamic parameter extraction from FRAP and FLAP experiments using chemical master equation by Luciana Renata de Oliveira, Matheus Gimenez Fernandes, José Salvatore Leister Patane, Jean-Marc Schwartz, José Eduardo Krieger, Christoph Ballestrem, Ayumi Aurea Miyakawa

“…Using an analytical solution of the chemical master equation, our framework provides a generalizable approach for studying protein dynamics in any system where FRAP and FLAP data are available. It can be applied to new experimental datasets and reanalyzed from existing data, revealing previously inaccessible molecular interactions and enhancing our understanding of FA dynamics and broader cellular processes.…”
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Participatory development of evidence-based patient narrative videos for patients with eating disorders: a methodological approach and pilot data by Melissa-Claire Daugelat, Bettina Gregg, Sophia Helen Adam, Kathrin Schag, Joachim Kimmerle, Katrin Elisabeth Giel

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Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data by Shuyi Yang, Anderson Bussing, Giampiero Marra, Michelle L. Brinkmeier, Sally A. Camper, Shannon W. Davis, Yen-Yi Ho

“…In addition to modeling gene co-expression, TIME-CoExpress captures dynamic changes in gene-level zero-inflation rates and mean expression levels, providing a more comprehensive analysis of scRNAseq data. …”
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The role of control in precipitating and motivating self-harm in young people: A systematic review and meta-synthesis of qualitative data. by Demee Rheinberger, Aimy Slade, Biya Tang, Ashley Hoye, Hiroko Fujimoto, Wu-Yi Zheng, Glenn Holmes, Katherine Boydell, Alison L Calear, Helen Christensen, Samantha Tang

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Snow Cover Trends in the Chilean Andes Derived from 39 Years of Landsat Data and a Projection for the Year 2050 by Andreas J. Dietz, Jonas Köhler, Laura Obrecht, Sebastian Rößler, Celia A. Baumhoer, Francisco Cereceda-Balic, Freddy Saavedra

“…In this study we acquired and processed the whole archive of available Landsat data between 1985 and 2024 for two catchments in the Chilean Andes, Aconcagua and Río Maipo, located in the Valparaíso and Santiago de Chile metropolitan regions, respectively. …”
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Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…The aim of this study was to evaluate an alternative data source from Emergency Medical Service (EMS) activities for COVID-19 monitoring. …”
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Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia

“…However, in the validation process, all statistical requirements met satisfactory rating. …”
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Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data by Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur

“…This study examines the reclamation of coal mine overburdens through reforestation, using high-resolution Sentinel 2 satellite data classified by various Machine Learning (ML) algorithms. …”
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Hail Forecast and Estimation of Its Maximum Size on the Output Data of the Global Atmospheric Model with Tree-Day Lead Time by Artur Khasanbievich Kagermazov, Lezhinka Tanashevna Sozaeva

“…The indicators characterizing the statistical significance and practical applicability of the equation were calculated.The observation data on the fallout of hail and its size were provided by paramilitary services for active impact on meteorological and other geophysical processes located within the radius of the representativeness of the actual data of aerological sounding at the «MineralnyeVody» station.The results of the study and  their discussion. …”
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A novel data-driven NLMPC strategy for techno-economic microgrid management with battery energy storage under uncertainty by Elnaz Yaghoubi, Elaheh Yaghoubi, Mehdi Zareian Jahromi, Mohammad Reza Maghami, Ali Paşaoğlu, Harold R. Chamorro

“…This study proposes a data-driven nonlinear model predictive control (NLMPC) framework for optimized MG operation, emphasizing energy storage system (ESS) integration. …”
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The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data by Shouyi Wang

“…It remains a significant medical challenge due to its high mortality rates and requires a deeper understanding of its underlying mechanisms. …”
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Water Mass and Indirect Estimation of Turbulent Mixing Based on Observational CTD Yoyo Data in Flores Sea Waters, Indonesia by Gentio Harsono, Amir Yarkhasy Yuliardi, Anindya Wirasatriya, Budi Purwanto, Mario Cabral

“… • The highest energy dissipation rates were observed in the thermocline layer. • Vertical diffusivity values were highest in the thermocline layer and decreased with depth.     …”
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Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling by Swati Tyagi, Anuj, Wei Qian, Jiaheng Xie, Rick Andrews

“…This study scrutinizes how biased representations in job assignments, influenced by a variety of factors such as skills and resume descriptors within diverse semantic frameworks, affect the classification process. The investigation extends to the nuanced language of resumes and the presence of subtle gender biases, including the employment of gender-associated terms, and examines how these terms’ vector representations can skew fairness, leading to a disproportionate mapping of resumes to job categories based on gender.Our findings reveal a significant correlation between gender discrepancies in classification true positive rate and gender imbalances across professions that potentially deepen these disparities. …”
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Optimization of chromium (VI) reduction in aqueous solution using magnetic Fe3O4 sludge resulting from electrocoagulation process. by Pınar Belibagli, Zelal Isik, Nadir Dizge, Deepanraj Balakrishnan, Abdul Rahman Afzal, Muhammad Akram

“…According to the isotherm results, the experimental data are compatible with the Freundlich isotherm model, and since it is defined by the pseudo-second order model emphasizes that the driving forces of the Cr(VI) reduction process are rapid transfer of Cr(VI) to the adsorbent surface. …”
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An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

“…Using 2,780,266 POI data points in 2015 and 3,426,501 POI data points in 2019 covering the three major urban clusters in China, we classified the manufacturing industry data into seven categories: textile and garment (TC), mechatronics and equipment (ME), wood furniture (WF), agricultural and sideline product food processing (AF), metallurgical chemical industry and resource rough processing (MC), pharmaceutical manufacturing (PM), and papermaking culture (PP). …”
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Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach by Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna

“…The optimum input operating characteristics were found in combination 9, with pressure of 0.23 MPa, temperature of 260 K, flow rate of 0.11 kg/s, and NC concentration of 0.24 wt%, leading to the most efficient performance in the hydrogen precooling process. …”
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Process evaluation of Project Daire: a food environment intervention that impacted food knowledge, wellbeing and dietary habits of primary school children by Naomi Anderson, Sarah F. Brennan, Fiona Lavelle, Sarah E. Moore, Dilara Olgacher, Amy Junkin, Moira Dean, Michelle C. McKinley, Patrick McCole, Ruth F. Hunter, Laura Dunne, Niamh E. O’Connell, Chris T. Elliott, Danielle McCarthy, Jayne V. Woodside

“…Methods The Medical Research Council’s (MRC) framework for process evaluation was followed. Formal (questionnaires designed for process evaluation) and informal (researcher records and communications) methods were used to collect quantitative and qualitative data during the DAIRE trial in relation to process evaluation. …”
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Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven’s Advanced Progressive Matrices: A Data-Driven Perspective by Yaohui Liu, Keren He, Kaiwen Man, Peida Zhan

“…The study’s findings underscore the potential of specific eye-tracking metrics as objective indicators of cognitive processing while providing a data-driven method to identify strategies used in complex reasoning tasks.…”
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