Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6–23 months in Ethiopia by Addisalem Workie Demsash, Rediet Abebe, Wubishet Gezimu, Gemeda Wakgari Kitil, Michael Amera Tizazu, Abera Lambebo, Firomsa Bekele, Solomon Seyife Alemu, Mohammedamin Hajure Jarso, Geleta Nenko Dube, Lema Fikadu Wedajo, Sanju Purohit, Mulugeta Hayelom Kalayou

“…Jupyter Notebook from Anaconda Navigators was used for data management and analysis. Important libraries such as Pandas, Seaborn, and Numpy were imported from Python. …”
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How Does the Intensive Use of Urban Construction Land Improve Carbon Emission Efficiency?—Evidence from the Panel Data of 30 Provinces in China by Dengjuan Liu, Wei Liu, Yuming He

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Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors by Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

“…The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO2 prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison. …”
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Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy. by Yuanying Pang, Ankita Singh, Shayok Chakraborty, Neil Charness, Walter R Boot, Zhe He

“…<h4>Background and objectives</h4>This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.…”
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Exploring the causal role of pathogen-derived antibodies in major urinary and kidney diseases: Insights from generalized summary data-based Mendelian randomization by Haoxiang Huang, Bohong Chen, Cong Feng, Wei Chen, Dapeng Wu

“…This study employs Generalized Summary data-based Mendelian Randomization (GSMR) to explore causal relationships between pathogen-derived antibodies and major urinary and kidney diseases.We conducted a two-sample MR analysis using summary statistics from large-scale Genome-Wide Association Studies (GWAS) to assess associations between 46 pathogen-specific antibodies and seven urinary system diseases. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…This study analyzes temperature time series data from the Nairobi County in Kenya, aiming to develop accurate hybrid time series forecasting models. …”
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Assessment of solar resource potential and estimation of direct and diffuse solar irradiation from sunshine hours data for Eastern Zone of Tigray, Northern Ethiopia by Amaha Kidanu Atsbeha, Gebrekiros Gebreyesus Gebremariam, Kahsay Gebremicheal Gebru, Abraha Kahsay Kiros

“…This study aims to bridge the existing knowledge gap by providing a detailed empirical analysis of solar radiation in the eastern zone of Tigray, Ethiopia, using ground-based meteorological data from three distinct stations: Adigrat, Atsbi, and Senkata. …”
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Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differenc... by David W Eyre, Mirjam Laager, A Sarah Walker, Ben S Cooper, Daniel J Wilson, CDC Modeling Infectious Diseases in Healthcare Program (MInD-Healthcare)

“…We present a novel approach for integrating detailed epidemiological data on patient contact networks in hospitals with large-scale pathogen sequencing data. …”
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On measuring agreement with numerically bounded linguistic probability schemes: A re-analysis of data from Wintle, Fraser, Wills, Nicholson, and Fidler (2019). by David R Mandel, Daniel Irwin

“…Accordingly, in the present article, we reanalyzed Wintle et al.'s data using an alternative measure of percentage overlap that does not penalize in-range precision. …”
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Dynamical downscaling projections of mean and extreme climate over the Tibetan Plateau under 2 SSP scenariosNational Tibetan Plateau Data Centre by Jiewei Zhou, Jianbin Huang, Yao Yao, Yong Luo

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Gaps and Data Ambiguities in DNA Reference Libraries: A Limiting Factor for Molecular‐Based Biodiversity Assessments Using Annelids as a Case Study by Marcos A. L. Teixeira, Eva Aylagas, John K. Pearman, Susana Carvalho

“…In this study, we evaluated the completeness of DNA barcode reference data for annelids from the Red Sea, Arabian Gulf and Gulf of Oman and examined its implications for biodiversity assessments. …”
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Timeliness of routine childhood vaccination among 12-35 months old children in The Gambia: Analysis of national immunisation survey data, 2019-2020. by Oghenebrume Wariri, Chigozie Edson Utazi, Uduak Okomo, Malick Sogur, Kris A Murray, Chris Grundy, Sidat Fofanna, Beate Kampmann

“…We utilised data for 3,248 children from The Gambia 2019-2020 Demographic and Health Survey. …”
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Spatiotemporal characteristics of vegetation cover change in the Central Yunnan urban agglomeration from 2000 to 2020 based on Landsat data and its driving factors by Rong Wang, Xue Ding, Bangjin Yi, Jinliang Wang

“…Taking the central Yunnan urban cluster as an example, this study utilizes long-term Landsat remote sensing image data from 2000 to 2020 on the Google Earth Engine platform. …”
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Marital Bargaining and Assortative Mating on Fertility Preference : Evidence based on Cross-sectional Data in China [version 4; peer review: 2 approved] by Hisahiro Naito, Meiyi Zhuang

“…This dynamic suggests that individuals may seek partners with similar fertility preferences, leading to assortative mating based on these shared preferences. Data and Methods This study investigates second-child fertility outcomes using data from the 2018 China Family Panel Studies and applies the Ordinary Least Squares (OLS) regression. …”
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THE ETHICAL STARTUP? by Alexis Walker

“…LunaDNA was founded as a public benefit corporation, with the premise that by receiving shares, participants would benefit financially from any proceeds LunaDNA earned from that data. The company failed to build a steady revenue stream and eventually closed in early 2024, without issuing payouts to contributors, as the company reported no cash reserves.[8]  Ethical, legal, and social implications (ELSI) researchers have noted the challenges that these DNA marketplaces face as data brokers that must gather ongoing consent and manage data privacy.[9] In this piece, I highlight the broader ethical challenges that such marketplaces face, considering the startup sector’s demand for continual innovation and often grandiose speculation, even in the face of frequent organizational change and evolution. …”
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Impacts of climate and non-climate factors on cereal crop yield in East Africa: A generalized method of moments (GMM) panel data analysis by Yadeta Bedasa, Adeba Gemechu, Amsalu Bedemo, Bacha Gebissa, Bai Xiuguang

“…The World Bank Development Indicators provided the data for cereal yield, seed, fertilizer, and carbon dioxide emissions, while the Climate Change Knowledge Portal provided the data for mean annual temperature and mean annual precipitation. …”
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Identifying risk factors for cancer-specific early death in patients with advanced endometrial cancer: A preliminary predictive model based on SEER data. by Jing Yang, Qi Tian, Guang Li, Qiao Liu, Yi Tang, Dan Jiang, Chuqiang Shu

“…The study data was randomly divided into a training cohort and a validation cohort at a ratio of 7:3. …”
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Improved sap flow prediction: A comparative deep learning study based on LSTM, BiLSTM, LRCN, and GRU with stem diameter data by Amora Amir, Marya Butt

“…Unlike existing studies that rely on multi-variable environmental data from large-scale datasets such as SAPFLUXNET, COCO or KAGGLE this research is based on in-house experimental data collected in close collaboration with a sensor developer and farmers. …”
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Nitrate-nitrogen dynamics in response to forestry harvesting and climate variability: 4 years of UV nitrate sensor data in a shallow gravel aquifer by B. Wilkins, T. Johns, S. Mager

“…These findings have implications for forestry land management and the understanding of inorganic nitrogen dynamics in groundwater in response to rainfall recharge. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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