Building a PECAS Activity Allocation Module: The experience from Caracas by Geraldine J. Fuenmayor, John E. Abraham, John Douglas Hunt

“…We applied the PECAS Framework, a spatial economic system for forecasting and policy analysis, to the region of Caracas, Venezuela. In this paper, we describe in 12 steps the elements developed for an Activity Allocation model in this region. …”
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Prevalence of chronic respiratory disease using case-finding tools in adults living with noncommunicable disease in low- and middle-income countries: a systematic review by Adriano Petrolini-Mateus, Gustavo Henrique Guimarães Araujo, Nathany Souza Schafauser-Segundo, Naiara Tais Leonardi, Viviane Castello-Simões, John R. Hurst, Renata Gonçalves Mendes

“…Five studies were excluded for not providing sufficient data, two for inadequate outcome ascertainment, two for being conducted in developed countries, and one for only including patients with a previous COPD diagnosis. …”
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Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

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Human-centered IoT-based health monitoring in the Healthcare 5.0 era: literature descriptive analysis and future research guidelines by Samad Rashid, Arash Nemati

“…Results showed that the focus of the literature has mostly been on information transit technology development and not human-centered data analytics. In addition, a gap analysis of the current literature recommendations emphasized multi-biometrics monitoring and cybersecurity, not human-centered health data analysis. …”
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An agency mapping of marginalized communities and aid providers during the COVID-19 pandemic in Malaysia [version 2; peer review: 1 approved, 2 approved with reservations] by Melati Nungsari, Nicole Fong, Chuah Hui Yin, Veena Pillai

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Hantavirus Infections: Review of the Epidemiological Situation around the World. Analysis of the Epidemiological Situation on Hemorrhagic Fever with Renal Syndrome in the Russian F... by T. A. Savitskaya, A. V. Ivanova, A. A. Zubova, I. D. Reshetnikova, G. Sh. Isaeva, V. A. Trifonov, Sh. V. Magerramov, K. S. Martsokha, D. V. Trankvilevsky

“…The mortality rate was at the level of 0.49 % – 25 lethal outcomes. Analysis of the data has revealed a decrease in the incidence of HFRS in Russia by 27.2 % as compared to the previous year. …”
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Developing the Interdisciplinary Scope of Golf Strength and Conditioning Coaching: Learning from Practitioners’ Conceptualization and Use of Athletes’ Errors by Callum Ferguson, Dave Collins, Howie J. Carson

“…The data were analyzed using reflexive thematic analysis. …”
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Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

“…The paper provides a comprehensive analysis of existing methods for detecting anomalies, which are classified into three main categories: point anomalies, which represent individual deviations from the typical consumption pattern; contextual anomalies, which depend on the specific temporal or spatial environment; and collective anomalies, which arise in groups of interrelated data. …”
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Human Capital and Institutional Capacity as Drivers of Local Revenue Efficiency: Evidence from Tanzanian Local Government Authorities by Dennis Hyera, Dickson Pastory, Philipina Kiwala

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The Impact of Fintech on Economic Growth: Evidence from Panels of Turkic and Southeast Asian Countries by Aydın Gürbüz, Meltem Kılıç, Emre Tatlıyer

“…In obtaining results, panel data analysis has been used. The results indicate that internet usage rates and fixed broadband subscriptions have positive impacts on economic growth. …”
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The Capacity of Power of Biogas Plants and Their Technical Efficiency: A Case Study of Poland by Dariusz Kusz, Tomasz Nowakowski, Bożena Kusz

“…In order to assess the technical efficiency of agricultural biogas plants under the research, the Data Envelopment Analysis (DEA) method was applied. …”
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A Machine Learning-Based Intelligent Framework for Predicting Energy Efficiency in Next-Generation Residential Buildings by Hafiz Muhammad Shakeel, Shamaila Iram, Richard Hill, Hafiz Muhammad Athar Farid, Akbar Sheikh-Akbari, Farrukh Saleem

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Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

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The Technical Efficiency of Polish Energy Sector Companies of Different Sizes by Bożena Kusz, Dariusz Kusz, Oktawia Jurgilewicz, Marcin Jurgilewicz, Bartosz Kozicki, Stanisław Topolewski

“…In order to assess the efficiency of the researched energy companies, the Data Envelopment Analysis (DEA) method was employed. …”
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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. …”
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Impact of digitalized-education upon sustainable education and practice: A systematic review and meta-analysis of literature based on pre-intra-and-post pandemic and rural educatio... by Kingsley Okoye, Esmeralda Campos, Amit Das, Varsha Chakraborty, Mahuya Ghosh, Amlan Chakrabarti, Samira Hosseini

“…The data analysis include trend examination, geographical and contextual diversity of the dataset, and thematic synthesis of digital technologies’ benefits, challenges, and implementation in context of COVID-19 and rural education. …”
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Enhanced Spring Wheat Soil Plant Analysis Development (SPAD) Estimation in Hetao Irrigation District: Integrating Leaf Area Index (LAI) Under Variable Irrigation Conditions by Qiang Wu, Dingyi Hou, Min Xie, Qi Gao, Mengyuan Li, Shuiyuan Hao, Chao Cui, Keke Fan, Yu Zhang, Yongping Zhang

“…Non-destructive monitoring of chlorophyll content through Soil Plant Analysis Development (SPAD) values is essential for precision agriculture in water-limited regions. …”
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Multi-trait phenotypic modeling through factor analysis and bayesian network learning to develop latent reproductive, body conformational, and carcass-associated traits in admixed... by Muhammad Anas, Bin Zhao, Bin Zhao, Haipeng Yu, Carl R. Dahlen, Kendall C. Swanson, Kris A. Ringwall, Lauren L. Hulsman Hanna

“…In this study, the phenotypic data of admixed beef heifers (n = 336) for reproductive, body conformation, and carcass-related traits (traits, t = 35) were used to identify latent variables from factor analysis (FA) that can be characterized as UBT. …”
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From Narrative to Analysis: “The Great French Monarchy” by Claude de Seyssel as Reflection of Trends in Development of Historical Worldview between Late Middle Ages and Early Moder... by E. V. Kuleshova, D. N. Starostin

“…The work of Claude de Seyssel “The Great French Monarchy” is considered in the context of new data on the development of historical writing in the late Middle Ages and early modern times. …”
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The role of professor V. I. Dolotsky in the development of Lliturgics as science and academic subject in Russian higher Church education by Nikolai Karamyshev

“…The article shows the role of Professor Dolotsky in the development of liturgics as a science and an academic subject. …”
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