Pediatric urinary tract infection and prevalence of antibiotics resistance – A retrospective study in the Qassim region by Yasir S. Alkhalifah, Hassan El Khatib

“…In contrast, both pathogens demonstrated lower resistance rates to cefepime, piperacillin-tazobactam, and meropenem. …”
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Cavy lifespan: survival analysis and lifetables for the pet guinea pig (Cavia porcellus, L.) in Britain by Fernando Mata

“…The study also highlights low neutering rates, likely influenced by concerns over surgical risks. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…While Machine Learning (ML) models can uncover complex patterns and relationships within these data, they require large datasets for training and often lack interpretability. …”
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THE IMPACT OF NATURAL GAS CONSUMPTION ON ENERGY SUSTAINABILITY AND THE SUSTAINABLE DEVELOPMENT OF THE AGRICULTURAL SECTOR by Maricel CAZACU, Liviu MARCUTA, Alina MARCUTA, Cristiana TINDECHE, Nicolae MINEA

“…This study aims to investigate the relationship between variations in gas consumption and sustainable agricultural growth, as well as to detect patterns in natural gas consumption within the European Union and analyze their effects on sustainability. …”
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Small Area Estimation using Multilevel Regression and Poststratification to Estimate Cannabis Use in the State of Montana by Chase Walker, Kristal Jones, Brandn Green, Frances Kim

“…Methods: We developed a survey that asks questions about cannabis perceptions and use patterns. We analyzed the survey data specifically for the outcome variable of past year cannabis use using MRP to generate population level prevalence estimates at the county level for the state of Montana. …”
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Automated Business Decision-Making Using Generative AI in Online A/B Testing: Comparative Analysis With Human Decision-Making by Changhak Sunwoo, Hyunjin Kwon, Jong Min Kim, Ho-Hyun Lim, Yongwoo Kim, Dongwook Hwang, Jingoo Kim

“…Utilizing 1,407 experimental cases from 48 companies on the Hackle online experimentation platform, the study compares decision-making outcomes between experiment designers and Generative AI, analyzing agreement rates and identifying patterns across companies. …”
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Synchronized Survey Scan Approach Allows for Efficient Discrimination of Isomeric and Isobaric Compounds during LC-MS/MS Analyses by Keabetswe Masike, Ntakadzeni Madala

“…Due to increasing scanning rates of recent MS instruments, it is now possible to operate MS instruments both in the static and dynamic modes. …”
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Citizens’ support to nature in Aruba—A study on sustainability and wellbeing by K. Soma, P. Verweij, A. Francis, D. van Wonderen

“…Unfortunately, extinction rates on islands are as high as 95 % of birds, 90 % of reptiles, 69 % of mammals and 68 % of plants. …”
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Risk factors for adverse prognosis and death in American visceral leishmaniasis: a meta-analysis. by Vinícius Silva Belo, Claudio José Struchiner, David Soeiro Barbosa, Bruno Warlley Leandro Nascimento, Marco Aurélio Pereira Horta, Eduardo Sérgio da Silva, Guilherme Loureiro Werneck

“…<h4>Background</h4>In the current context of high fatality rates associated with American visceral leishmaniasis (VL), the appropriate use of prognostic factors to identify patients at higher risk of unfavorable outcomes represents a potential tool for clinical practice. …”
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Seasonal synchronization of influenza in the United States older adult population. by Julia B Wenger, Elena N Naumova

“…On a national level, seasons that had an earlier peak also had higher rates of influenza (r(s) = -0.5). We demonstrated a spatial trend in peak timing of influenza; western states such as Nevada, Utah, and California peaked earlier and New England States such as Rhode Island, Maine, and New Hampshire peaked later.…”
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Pathogen-specific epitopes as epidemiological tools for defining the magnitude of Mycobacterium leprae transmission in areas endemic for leprosy. by Marcia V S B Martins, Marjorie M da S Guimarães, John S Spencer, Mariana A V B Hacker, Luciana S Costa, Fernanda M Carvalho, Annemieke Geluk, Jolien J van der Ploeg-van Schip, Maria A A Pontes, Heitor S Gonçalves, Janvier P de Morais, Tereza J P G Bandeira, Maria C V Pessolani, Patrick J Brennan, Geraldo M B Pereira

“…In the present study, the patterns of IFN-γ release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. …”
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Study on the fracture behavior and critical slowing down characteristics of saturated sandstone based on acoustic emission and resistivity by Yantao Zheng, Changwu Liu, Kunpeng Lu, Hexing Zhang, Bingxi Jian, Wuzhou Zhang

“…Crack classification based on the RA–AF parameter aligned with macroscopic failure patterns. Water presence accelerated the initiation of tensile cracks, with growth rates of 13.66%, 13.69%, 14.86%, and 17.53%, correlating with porosity and pore water pressure. …”
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The impact of teaching materials on instructional design and teacher development by Lola Garay Abad, John Hattie

“…Teacher-created materials were rated as most useful (90.1%), and teachers reported high autonomy (94.1%) in selecting and adapting materials — a factor closely tied to increased classroom confidence. …”
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Associations between dietary microbe intake and mortality risk in individuals with sleep disorders: Evidence from NHANES. by Xuanchun Huang, Lanshuo Hu, Ruikang Liu, Jun Li, Tiantian Xue

“…<h4>Objective</h4>To investigate the association between dietary microbial intake, sleep patterns, and all-cause and cardiovascular mortality among U.S. adults.…”
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Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province by Mei Huang, Degang Duan, Sicheng Tan, Ling Huang

“…Traditional centralized sewage treatment models face issues in cost-effectiveness, facility utilization rates, and sustainable maintenance, necessitating the exploration of adaptive governance technologies under new demographic conditions. …”
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Temporal and spatial interactions in sympatric ungulates: Insights from Japanese serow and sika deer. by Tomoki Mori, Kensuke Miura, Hiroyuki Takeuchi, Yasuaki Niizuma

“…Nevertheless, during autumn, reduced activity overlap rates, when the relative abundance index (RAI) of sika deer increased, may indicate that Japanese serow have modified their behavior to minimize resource competition. …”
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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Spatially, it shows that Airbnb accommodations in the Jetis and Kraton sub-districts achieve the most favorable ratings for amenities, location, hygiene, host and staff performance, as well as room and toilet conditions. …”
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“… Abstract BackgroundBreast cancer has proven to be the most common type of cancer among females around the world. However, mortality rates can be reduced if it is diagnosed at the initial stages. …”
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Comparative Genomics of the Sigatoka Disease Complex on Banana Suggests a Link between Parallel Evolutionary Changes in Pseudocercospora fijiensis and Pseudocercospora eumusae and... by Ti-Cheng Chang, Anthony Salvucci, Pedro W Crous, Ioannis Stergiopoulos

“…Comparative analysis of genome architectures revealed significant differences in genome size, mainly due to different rates of LTR retrotransposon proliferation. Still, gene counts remained relatively equal and in the range of other Dothideomycetes. …”
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ChaMTeC: CHAnnel Mixing and TEmporal Convolution Network for Time-Series Anomaly Detection by Ibrahim Delibasoglu, Deniz Balta, Musa Balta

“…Time-series anomaly detection is a critical task in various domains, including industrial control systems, where the early detection of unusual patterns can prevent system failures and ensure operational reliability. …”
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