Identifying pre-diabetes ‘hotspots’ in Northern California using geospatial analysis: opportunities to target diabetes prevention strategies and improve health equity by Tannaz Moin, Luis A Rodriguez, Obidiugwu Kenrik Duru, Julie Schmittdiel, Tainayah W Thomas, Maher Yassin, Yelba Castellon-Lopez

“…Policy-makers and care providers can use this information to target diabetes prevention resources and outreach by enacting policies that provide insurance coverage for low-income populations and placing diabetes prevention programmes in communities with highest need.…”
Get full text

Spatiotemporal Monitoring of Cyanobacterial Blooms and Aquatic Vegetation in Jiangsu Province Using AI Earth Platform and Sentinel-2 MSI Data (2019–2024) by Xin Xie, Ting Song, Ge Liu, Tiantian Wang, Qi Yang

Get full text

Illuminating choices for library prep: a comparison of library preparation methods for whole genome sequencing of Cryptococcus neoformans using Illumina HiSeq. by Johanna Rhodes, Mathew A Beale, Matthew C Fisher

“…However, the quality of data generated using the TruSeq Nano DNA kit was superior due to higher coverage at regions of low GC content, and more SNPs identified. …”
Get full text

Developing Site-Specific Prescription Maps for Sugarcane Weed Control Using High-Spatial-Resolution Images and Light Detection and Ranging (LiDAR) by Kerin F. Romero, Muditha K. Heenkenda

“…This study aimed to develop site-specific, variable rate prescription maps for weed control using remote sensing. High-spatial-resolution images (5 cm) and Light Detection And Ranging (LiDAR) were acquired using a Micasense Rededge-P camera and a DJI L1 sensor mounted on a drone. …”
Get full text

Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques by Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Prabhashrini Dhanushika Manage, Jinglan Zhang, Yuefeng Li, Wayne Kelly

“…Despite extensive research in this area, there is a lack of comprehensive surveys that specifically explore estimation methods using sparse rating data and profile enrichment techniques focusing on overcoming challenges that occur due to sparsity such as reduced coverage, transparency, scalability, and accuracy. …”
Get full text

Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll <i>a</i> concentration in the Black Sea by A. Barth, J. Brajard, A. Alvera-Azcárate, B. Mohamed, C. Troupin, J.-M. Beckers

“…<p>Satellite observations provide a global or near-global coverage of the World Ocean. They are however affected by clouds (among others), which severely reduce their spatial coverage. …”
Get full text

Future cost-effectiveness and equity of the NHS Health Check cardiovascular disease prevention programme: Microsimulation modelling using data from Liverpool, UK. by Chris Kypridemos, Brendan Collins, Philip McHale, Helen Bromley, Paula Parvulescu, Simon Capewell, Martin O'Flaherty

“…<h4>Methods and findings</h4>IMPACTNCD is a dynamic stochastic microsimulation policy model, calibrated to Liverpool demographics, risk factor exposure, and CVD epidemiology. Using local and national data, as well as drawing on health and social care disease costs and health-state utilities, we modelled 5 scenarios from 2017 to 2040: Scenario (A): continuing current implementation of NHS Health Check;Scenario (B): implementation 'targeted' toward areas in the most deprived quintile with increased coverage and uptake;Scenario (C): 'optimal' implementation assuming optimal coverage, uptake, treatment, and lifestyle change;Scenario (D): scenario A combined with structural population-wide interventions targeting unhealthy diet and smoking;Scenario (E): scenario B combined with the structural interventions as above. …”
Get full text

Emotion-based design research of rural street spaces using eye-tracking technology: A case study of Huixingtou Village in Handan City. by Ruili Wang, Fan Yang, Qingqin Wang

Get full text

Energy-Efficient Regional Area Metropolitan Optical Access Network (RAMOAN) Using Modified Load Adaptive Sequence Arrangement (M-LASA) Methodology by T. Senthil Kumar, V. Mohan

Get full text

Equilibrium Sorption Studies of Hg (II) Ions from Aqueous Solution using Powdered Swamp Arum (<i>Lasimorpha senegalensis</i>) Seeds by Timi Tarawou, Young Erepamowei

“…Three isotherms; Langmuir, Freundlich, and BET were used to model the equilibrium sorption of Hg (II) ions onto powdered swamp arum seeds, with a correlation coefficient of 0.998, 0.784 and0.842 respectively. …”
Get full text

Location Allocation Model for Community Centers Using GIS and Multi-Objective Goal Programming in War Weary Area: A Case Study in Syria by Abdulhamit Ertugrul, Suleyman Mete, Eren Ozceylan

“…We propose a comprehensive methodology that integrates Geographic Information Systems (GIS), multi-objective goal programming (using both weighted and preemptive approaches), and the Analytic Hierarchy Process (AHP) to optimize the location allocation of community centers. …”
Get full text

The good and the bad: using C reactive protein to distinguish bacterial from non-bacterial infection among febrile patients in low-resource settings by Camille Escadafal, Sabine Dittrich, Sandra Incardona, B Leticia Fernandez-Carballo

“…CRP testing may be best used as part of a panel of diagnostic tests and algorithms. …”
Get full text

Leveraging genomic insights from the neglected malaria parasites P. malariae and P. ovale using selective whole genome amplification (SWGA) approach by Fathia Ben-Rached, Amit Kumar Subudhi, Chang Li, Mariah Alawi, Rohit Satyam, Sui Xu, Guoding Zhu, Raeece Naeem, Sara Mfarrej, Di Liu, Zenaida Stead, Caroline Askonas, Yaobao Liu, Jun Cao, Arnab Pain

“…Results We applied SWGA using specifically designed primer sets targeting the pathogen genome to enrich parasite DNA from clinical samples. …”
Get full text

A GIS-Based Approach to Soil Erosion Risk Assessment Using RUSLE: The Case of the Mai Nefhi Watershed, Barka River Basin, Eritrea by Tsegay Bereket Menghis, Pandi Zdruli, Endre Dobos

“…This study assesses soil erosion and maps erosion risk in the Mai Nefhi watershed using the Revised Universal Soil Loss Equation (RUSLE), integrated with Geographic Information System (GIS) and remote sensing (RS) data. …”
Get full text

Development and Validation of Targeted Metabolomics Methods Using Liquid Chromatography–Tandem Mass Spectrometry (LC-MS/MS) for the Quantification of 235 Plasma Metabolites by Kangkang Xu, Franz Berthiller, Barbara U. Metzler-Zebeli, Heidi E. Schwartz-Zimmermann

“…Fast polarity switching and scheduled SRM enhance the metabolome coverage and throughput, enabling the analysis of one sample in about 40 min. …”
Get full text

Mapping global yields of four major crops at 5-minute resolution from 1982 to 2015 using multi-source data and machine learning by Juan Cao, Zhao Zhang, Xiangzhong Luo, Yuchuan Luo, Jialu Xu, Jun Xie, Jichong Han, Fulu Tao

“…We developed three machine learning (ML) models for each country and crop, using crop statistics from approximately 12,000 administrative units, along with satellite data, climate variables, soil properties, agricultural practices, and climate modes. …”
Get full text

Advanced ENF Region Classification Using UniTS-SinSpec: A Novel Approach Integrating Sinusoidal Activation Function and Spectral Attention by Yujin Li, Tianliang Lu, Gaojun Zeng, Kai Zhao, Shufan Peng

“…Future research will focus on expanding dataset coverage and diversity to verify the model’s generality and robustness across different regions, time spans, and data sources. …”
Get full text

A novel feature selection algorithm using decomposition based multi-objective guided honey badger algorithm (MO-GHBA) and NSGA-III by Anusha Papasani, Nagaraju Devarakonda

“…To enhance the selection pressures of the external archive, the penalty values are adjusted adaptively using the APBI mechanism. The Wavelet kernel Extreme Learning Machine is used to classify the selected features. …”
Get full text

Design of a multi-objective supply chain and distribution network using robust optimization with interval data mathematical programming and live traffic data by Mohsen Zarejeddi, Amir Izadi, Omid Titidezh, Hooman Razavi

“…To validate the model’s performance, a case study was simulated using hypothetical data. The results demonstrated that applying the proposed model can significantly reduce logistics costs. …”
Get full text

Bacterial etiology of urinary tract infections and their sensitivity patterns towards commonly used antibiotics in port Sudan City, Sudan: a retrospective study by Abdalla I.A Ibrahim, Hafeia A. Abdelgyoum, Noor S. Elfaki, Mohamed H. Elbadawi, Eyad Kashif

“…Total coverage of all data from June/2023 to March/2024 were included, which yielded 328 samples. …”
Get full text