25 results found

Juliet Otiti-Sengeri, Derrick Mugisha, Deogratias Ngoma, Rebecca Claire Lusobya1, Immaculate Atukunda, Robert Colebunders

Background: Mpox–associated ocular disease, including keratitis, is an emerging, vision-threatening complication. Management is challenging because no anti-viral therapy has yet been approved to preve...

Research Square 2026-04-21 rs-9461464
mpox Clade Ib keratitis corneal ulceration blindness cidofovir topical antiviral compassionate use

Aijia Yu, Hao Yu, Quan Long, Bin Wang, Yinying Qiu, Mingxuan Li

Eutrophication poses a critical challenge to global aquatic ecosystems, with the core difficulty in its remediation lying in the scarcity of sustainable technologies capable of simultaneously and effi...

Research Square 2026-04-21 rs-9310641
Eutrophication Rare-earth modification Magnetic composites Synergistic nitrogen-phosphorus removal Magnetic recovery technology

Yan Liu, Wei Gang, Wei Chen, Limei Yang, Rui Dong, Zhiyong Guo

Objective Maintenance hemodialysis (MHD) patients face a high risk of mortality. This study aimed to identify factors associated with mortality and assess the survival benefit of hemodialysis combined...

BMC Nephrology 2026-04-21 rs-8739970
Hemoperfusion Maintenance hemodialysis Survival analysis Propensity score matching Mortality risk factors Logistic regression Time-dependent Cox regression

Wenxuan Zhao, Zhigang Ju

Considering the global energy crisis, developing renewable biomass energy has become an urgent strategic need. In order to better utilize biomass resources, wheat straw was used as raw material. Findi...

BioEnergy Research 2026-04-21 rs-9171419
wheat straw pretreatment ligninases simultaneous saccharification and fermentation ethanol

Luca Martino

In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl...

Statistics and Computing 2026-04-21 rs-9368004
Contrastive learning bridge sampling; reverse logistic regression multiple importance sampling binary classification

Kofi Nyantakyi Appiah, Nathanael Adu, Divyanshu Kumar Singh, Edward Edem Nartey

A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...

International Journal of Data Science and Analytics 2026-04-21 rs-9175702
Expected goals soccer analytics machine learning logistic regression mixed-effects models

Marzieh Shekari, Zohreh Pakdaman, Ghobad Saadat Kia Barmalzan, Narayanaswamy ‎Balakrishnan

This study provides a comprehensive analysis of fail-safe systems incorporating multiplegeneralized scaled log-logistic outlier components. In this Regard, two structural frameworksare examined: one i...

Journal of Inequalities and Applications 2026-04-21 rs-9398932
Fail-safe systems Usual stochastic order Hazard rate order Majorization order Multiple-outlier models Archimedean survival copula Generalized scaled loglogistic model

N.T. Shukure, Gizaw Mengistu Tsidu

Solar magnetic ux evolution fundamentally drives solar variability, whose atmospheric ef- fects are traditionally assessed through various solar activity proxies. Building upon our previous ndings on ...

Research Square 2026-04-21 rs-9476595
Solar magnetic flux Solar activity Solar activity proxy

Jiwoo Kang, Hyunsu Choi, Beobmo Ku, Minjun Kim, Nayoung Choi, Gyutae Park, Sanghun Park, Jaeyoung Kim, Yang-il Choi, Jungseok Choi

This study investigated the effects of seasonal variation on carcass traits, primal cut yields, and carcass grade distribution in approximately 700,000 Landrace × Yorkshire × Duroc (LYD) pigs slaughte...

Food Science of Animal Resources 2026-04-21 rs-9289814
Carcass grade Landrace × Yorkshire × Duroc pig Non-destructive carcass analyzer Primal cut Seasonal effects Logistic regression

Kamna Redhu, Ajay Kumar, Jagdish Parshad, Meena Sindhu, Ravinder Kumar, Sushil Nagar, Suruchi Sangwan, Monika Jangra, Rajbala Yadav

Metal-based nanoparticles are known for their ecotoxicological and phytotoxic effects, impairing plant growth and development. However, several nanoparticles, including those of zinc, are essential fo...

Discover Agriculture 2026-04-21 rs-9231087
Zinc oxide nanoparticles Biofertilizer Rhizobium Characterization Mungbean
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