Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors by T. Soni Madhulatha, Dr. Md. Atheeq Sultan Ghori

“…Precisely, LSTM models capture temporal dependencies in time series data, and DQNs introduce a reinforcement learning mechanism that optimizes prediction adaptively based on feedback. …”
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The Nordic Patient Experiences Questionnaire (NORPEQ): cross-national comparison of data quality, internal consistency and validity in four Nordic countries by Øyvind Andresen Bjertnæs, Kjersti Eeg Skudal, Andrew Malcolm Garratt, Birgitta Eriksson, Tuija Leinonen, Jan Simonsen

“…Objectives To evaluate the Nordic Patient Experiences Questionnaire (NORPEQ) for data quality, reliability and validity following surveys of patients in Finland, Norway, Sweden and the Faroe Islands.Design, methods and participants The NORPEQ was mailed to 500 patients randomly selected after receiving inpatient treatment in Finland, Norway and Sweden. …”
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Differences in the Management and Use of Health Services in Australia Using Publicly Available Data: Comparisons between New South Wales and Victoria by Jo M Martins, Godfrey Isouard

“…Using publicly available data the study analysed differences in the organisation, management, and expenditures of health services. …”
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Storytelling in Health Behavior Research: An Adolescent Health Storytelling in Health Behavior Research: An Adolescent Health Risk Data Collection Conundrum by Robert F. Valois, Sarah H. Kershner, Jelani C. Kerr, Andre Walker, Debra Massey, Naomi B. Farber, Larry K. Brown, Michael P. Carey, Ralph J. DiClemente, Daniel Romer, Peter A. Vanable

“…This story is anchored to NIH study protocol, a data collection incident at an African American church and a perplexed PI and research team. …”
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Financial Performance of Moroccan Listed Companies: A Multidimensional Analysis of Internal, Macroeconomic, and Institutional Determinants Using Dynamic Panel Data by Asmae AMARHYOUZ, Jalal Azegagh

“…To validate the robustness of the outcomes (heteroskedasticity, autocorrelation, and endogeneity), several panel data estimation techniques were applied, including pooled OLS, fixed effects models, and the Generalized Method of Moments (GMM). …”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Unlike prior studies that primarily focus on single-aspect improvements in either data processing or model architecture, our comprehensive approach simultaneously addresses data imbalance, feature sparsity, and processing efficiency. …”
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Estimating operational costs for enhanced continuity in water supply and sanitation services: An inverse data envelopment analysis approach in Chilean utilities by Manuel Mocholi-Arce, Alexandros Maziotis, Ramón Sala-Garrido, María Molinos-Senante

“…Study focus: This study introduces an innovative methodological framework based on inverse data envelopment analysis technique to quantify the additional operational costs required for water utilities to enhance their water supply and sanitation continuity while maintaining their techno-economic efficiency. …”
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Corporate social responsibility (CSR) and corporate financial performance (CFP): a panel data analysis of BSE 500 companies in India by Shahin Sultana Mohammed, Musah Mohammed Saeed, Manisha Kumari, Premkumar Borugadda, Nafeesathul Basariya Mohamed Ismail

“…This study explores the interplay between CSR and CFP within BSE 500 companies in India, offering insights into their interconnected impact on business sustainability and profitability. The study analyzed data from the annual reports of 204 Indian firms from 2016 to 2023, yielding a dataset of 1,632 observations. …”
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Assessment of groundwater resources from geophysical and remote sensing data in a basement complex environment using fuzzy-topsis algorithm by Kola Abdul-Nafiu Adiat, Abdulgafar Opeyemi Kolawole, Igbagbo Adedotun Adeyemo, Ayokunle Adewale Akinlalu, Daniel Oluwafunmilade Afolabi

“…Beyond improved accuracy, the study's implications extend to practical applications in groundwater resource management. …”
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Himawari sea surface temperature data reveal regular internal wave activity producing cooling in the northern South China Sea by Xiaoyan Dang, Yi Sui, Danling Tang, Jiujuan Wang, Shengli Chen

“…To address the problems of short observation time, limited range based on measured data, and low accuracy based on mesoscale satellite data for the study of IW-induced sea surface temperature (SST) change, this paper introduce high-frequency geostationary orbit satellite data combined with SST data of different times and analyze and discuss the changes and mechanisms of immediate and long-term spatio-temporal SST distributions in the northern South China Sea (SCS) caused by IWs. …”
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Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data by Ruoyu Wang, Ruth Hunter, Rodrigo Reis, Pedro C Hallal, Selin Akaraci, Esteban Moro

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Frequency of Missing TNM Stage Data for Adults With Intellectual or Developmental Disabilities in a Provincial Cancer Registry—A Brief Report by Kelly Biggs, Helene Ouellette‐Kuntz, Rebecca Griffiths, Rebecca Hansford, Julie Hallet, Christine Kelly, Kathleen Decker, David E. Dawe, Shahin Shooshtari, Marni Brownell, Donna Turner, Virginie Cobigo, Alyson Mahar

“…Discussion The absence of stage data has person‐level and population‐level implications. …”
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Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample by Olivia Metcalf, Karen E. Lamb, David Forbes, Meaghan L. O’Donnell, Tianchen Qian, Tracey Varker, Sean Cowlishaw, Sophie Zaloumis

“…However, no prediction models have been built in trauma-exposed populations that leverage real-world data.Objective: This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults.Method: Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (n = 84). …”
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Review of previously published ambient air respirable crystalline silica concentration data for use in risk assessment of mineral industry sources by John R. Richards, Todd T. Brozell

“…To the extent possible, data from different geographic areas are included to account for differing background (upwind) concentrations. …”
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Slovenian Public Libraries in 2010 by Gorazd Vodeb

“…Staff structure and financial data are presented as well as the data about visitors, registered members, loans and other library services.   …”
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Continuity of care and medication adherence in patients with angina: a retrospective cohort study using Korea’s National Health Insurance data by Dayea Kim, Jaewoo Cha

“…However, the real-world impact of continuity of care (COC) and medication adherence, measured by the medication possession ratio (MPR)—on angina complications in South Korea remains poorly understood.Objective This study evaluated the effectiveness of COC and MPR in patients with angina using comprehensive national data and examined the outcomes at the hospital level.Methods This retrospective cohort study used data from the National Health Insurance Service of Korea between 2002 and 2019. …”
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Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data by Dan Kajungu, Henry Owoko Odero, Agnes Kiragga, Steve Bicko Cygu, Betty Nabukeera, Lindsey English, Shakira Babirye, Collins Gyezaho, Maureen Ng'etich, Michael Ochola, David Amadi, Grace Banturaki, Damazo Twebaze Kadengye

“…Introduction Understanding the determinants of disease burden is imperative in enhancing population health outcomes. This study uses data from the Iganga-Mayuge Health and Demographic Surveillance Site, to understand demographic and socioeconomic factors influencing morbidity.Methods We analysed secondary data from 2018 to 2023. …”
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Big data analytics for strategic decision-making across the battery value chain: a review of status, trends, and future directions by André Hemmelder, Anne Sehnal, Simon Lux, Jens Leker

“…As the battery industry expands, it faces increasing complexity due to accelerated innovation cycles, rising competition, and growing technological diversity, emphasising the need for cost-effective strategic decision-making across the battery value chain.This systematic review examines studies adopting big data analytics to guide strategic decision-making across the battery value chain, identifies key research trends and contributors, discusses geopolitical dimensions, policy implications, and cross-sectoral competitive perspectives, and highlights relevant research gaps.An AI-assisted search strategy was employed to identify relevant literature. …”
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Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia by Richard G White, Virginia Bond, Peter J Dodd, Ben Marais, Helen Ayles, Emma J Murray, Kwame Shanaube, Albertus Schaap

“…We sought to clarify whether specific communities could have been more/less vulnerable to M. tuberculosis transmission as a result of sociological variety relevant to transmission efficiency.Design We conducted a mixed methods secondary analysis using existing data sets. First, we analysed qualitative data to categorise and synthesise patterns of socio-spatial engagement across communities. …”
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Impacts of Spatial Expansion of Urban and Rural Construction on Typhoon-Directed Economic Losses: Should Land Use Data Be Included in the Assessment? by Siyi Zhou, Zikai Zhao, Jiayue Hu, Fengbao Liu, Kunyuan Zheng

“…Typhoon disaster loss assessment faces key challenges, including complex regional environments, scarce historical data, difficulties in multi-source heterogeneous data fusion, and challenges in quantifying assessment uncertainties. …”
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