Soil moisture estimation underneath crop cover using high incidence angle C-band Sentinel-1 SAR data by Hari Shanker Srivastava, Thota Sivasankar, Madhuri Dilip Gavali, Parul Patel

“…In this study, an attempt has been made to assess the potential of high incidence angle C-band SAR data for soil moisture retrieval by incorporating effects of crop on Radar signal using water cloud model. …”
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Use of healthcare services during the COVID-19 pandemic in urban Ethiopia: evidence from retrospective health facility survey data by Getnet Alemu, Arjun S Bedi, Zemzem Shuka, Anagaw Mebratie, Matthias Rieger

“…This paper explores whether this shift has come at the cost of non-Covid related healthcare, especially the use of maternal and child health (MCH) services.Setting Data covering a 24-month period are drawn from 59 health centres and 29 public hospitals located in urban Ethiopia.Primary and secondary outcomes measures The primary outcome measures are the use of MCH services including family planning, antenatal and postnatal care, abortion care, delivery and immunisation. …”
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Innovative Technological Approach to Ebola Virus Disease Outbreak Response in Nigeria Using the Open Data Kit and Form Hub Technology. by Daniel Tom-Aba, Adeniyi Olaleye, Adebola Tolulope Olayinka, Patrick Nguku, Ndadilnasiya Waziri, Peter Adewuyi, Olawunmi Adeoye, Saliu Oladele, Aderonke Adeseye, Olukayode Oguntimehin, Faisal Shuaib

“…The use of information and communications technology (ICT) in active surveillance has proved to be effective but its use in Ebola outbreak response has been limited. …”
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Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data by Srinivasan Rajamani, Arulmozhiyal Ramasamy

“…Microclimatic Data is used for tuning zero export converters and Battery Management System (BMS) through IPWS. …”
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Using primary and routinely collected data to determine prevalence and patterns of multimorbidity in rural China: a representative cross-sectional study of 6474 Chinese adultsResea... by Xinyi Zhang, Tingzhuo Liu, Zhifang Li, Jiajuan Yang, Huinan Hou, Tianyou Hao, Pei Zhang, Chi Hu, Mingjia Bao, Pengpeng Ye, Shangzhi Xiong, Wei Tian, Guangcan Yan, Jing Zhang, Yue Wang, Wei Jiang, Anqi Ge, Yonghui Pan, Devarsetty Praveen, David Peiris, Xiaoqi Feng, Ding Ding, Lijing L. Yan, Xiaolin Xu, Hanbin Zhang, Yongchen Wang, Wenjing Tian, Maoyi Tian

“…This study aims to conduct robust evaluations of the prevalence and patterns of multimorbidity among rural adults in China, and to compare the differences in prevalence and patterns when using primary data alone versus in combination with routinely collected data. …”
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Spi-VSTL: Image data collection platform using off-the shelf hardware for vertically supported crops in state-of-the-art glasshouses by Namal Jayasuriya, Malith Weerasekara, Oula Ghannoum, Yi Guo, Wen Hu

“…The usability of the proposed design has been proved with a published data set and research on plant height estimation. …”
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Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data by Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan

“…A set of thirty-four features is extracted using the primary wave earthquake precursor signal and site-specific information. …”
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Comparative Performance Analysis of GRPC and Rest API Under Various Traffic Conditions and Data Sizes Using a Quantitative Approach by Moch. Zukhruf Ain, Rizka Ardiansyah, Septiano Anggun Pratama, Muhammad Akbar, Nouval Trezandy Lapatta

“…This study compares REST API and gRPC under various traffic conditions and data sizes using Apache JMeter and Wireshark, measuring throughput, response time, latency, and data transfer efficiency. …”
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StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study—study protocol by Jonathan M Morris, Ibinabo Ibiebele, Deborah Randall, Siranda Torvaldsen, Tanya Nippita, Felicity Gallimore, Tessa L Weir, Sarah Glastras

“…The StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED) project aims to use large population-based and routinely collected linked health data to (1) personalise risk prediction of adverse pregnancy outcomes for women undergoing glucose tolerance testing, (2) guide optimal birth timing for women with diet-controlled GDM and (3) examine variation in GDM management and pregnancy outcomes in New South Wales (NSW), Australia.Methods and analysis This retrospective cohort study using linked, routinely collected health data includes all women who gave birth from January 2016 to December 2020 in NSW. …”
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Vegetation Monitoring of Palm Trees in an Oasis Environment (Boudenib, Morocco) Using Automatic Processing of Medium-Resolution Remotely Sensed Data by Kaoutar Badioui, Ann Van Griensven, Boud Verbeiren

“…However, considering the fact that the PROBA-V satellite mission has ended, this approach could instead be applied to Sentinel-3 data using the same analysis. …”
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Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data by Hendrata Wibisana, Siti Zainab, Zetta Rasullia Kamandang, Muhammad Rusdi

“…One method extensively developed is the use of satellite imagery to map the chlorophyll-content in the coastal region from a small area to a global scale, such as Aqua MODIS image data. …”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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Using Web-Based Continuing Education to Improve New Diagnoses of Alzheimer Disease in Claims Data: Retrospective Case-Control Study by Katie Lucero, Thomas Finnegan, Soo Borson

“…Continuing medical education (CME) has enhanced physician knowledge and confidence in various medical fields, including AD. …”
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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

“…Abstract The interest in data-centric AI has been recently growing. As opposed to model-centric AI, data-centric approaches aim at iteratively and systematically improving the data throughout the model life cycle rather than in a single pre-processing step. …”
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Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation by Darijo Raca, Ahmed H. Zahran, Cormac J. Sreenan, Rakesh K. Sinha, Emir Halepovic, Vijay Gopalakrishnan

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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Generation of super-resolution gap-free ocean colour satellite products using data-interpolating empirical orthogonal functions (DINEOF) by A. Alvera-Azcárate, D. Van der Zande, A. Barth, A. Dille, J. Massant, J.-M. Beckers

“…The technique is based on DINEOF (data-interpolating empirical orthogonal functions), a data-driven method that uses the spatio-temporal coherence of analysed datasets to infer missing information. …”
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Concurrent prescriptions for opioids and benzodiazepines and risk of opioid overdose: protocol for a retrospective cohort study using linked administrative data by Kristian B Filion, Robyn Tamblyn, David L Buckeridge, Erin Y Liu

“…Our aim was to assess the risk of opioid overdose associated with concurrent use of opioids and benzodiazepines relative to opioids alone.Methods and analysis A retrospective cohort study will be conducted using medical claims data from adult residents of Montréal, Canada. …”
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Determinants of traditional Korean medicine utilization by individuals with physical disabilities: inference of causal relationships using Korea health panel data by Chihyoung Son, Jong-hyun Kim, Eunkyung Yoon, Eunji Ahn, Minjung Park, Dongsu Kim

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Utilization of novel systemic therapies for multiple myeloma: A retrospective study of front‐line regimens using the SEER‐Medicare data by Daisuke Goto, Rahul Khairnar, Jean A. Yared, Candice Yong, Dorothy Romanus, Eberechukwu Onukwugha, Julia F. Slejko

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