Examining changes in social care referrals during the 2021 Winter Storm Uri in the Unite Texas network by Zackery White, Amanda Terry, Gillian Feldmeth, Alyssa Altstaedter, Halima Ahmadi-Montecalvo

“…Following the storm, case rates returned to pre-storm levels, with increased case resolution and reduced time to case closure. …”
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Effect of External Sensory Integration on Motor Functional Disorder In Children With Attention Deficit Hyperactive Disorder (Adhd) - A Pilot Study by Chhavi Kumar Sharma, Shahiduz Zafar

“…A common neurodevelopmental disease in children, attention deficit hyperactivity disease (ADHD) is typified by recurrent patterns of hyperactivity, impulsivity, and inattention. …”
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Prevalence and factors associated with Babesia bigemina infection in Crioula Lageana cattle breed by Mariana da Silva Casa, Julio de Mattos Vettori, Ketriane Mota de Souza, Paulo Ricardo Benetti Todeschini, Luiz Cláudio Miletti, Carla Ivane Ganz Vogel, André Luís Ferreira Lima, Joandes Henrique Fonteque

“…Males showed significantly higher infection rates (79%; 49/62) compared to females (55%; 137/249; OR=3.36, p<0.001). …”
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Fertility differences across immigrant generations in the United Kingdom by Jiseon Baek, Hill Kulu, Sarah Christison, Francesca Fiori

“…OBJECTIVE: This study examines the first-, second-, and third-birth rates of three migrant generation groups in the United Kingdom – 1.5G, 2G, and 2.5G. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What&#x2019;s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…Then, crime forecasting models are extracted for each area, to monitor and predict how crime rates evolve over time within each partition. However, traditional spatial partitioning approaches, which divide cities into predefined police districts based on geographic and operational considerations, often fail to account for variations in crime patterns. …”
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"What happens when you get corona?": Children's questions and parental responses about the COVID-19 pandemic. by Graciela Trujillo Hernández, David Menendez, Seung Heon Yoo, Rebecca E Klapper, Maria H Schapfel, Kailee A Sowers, Victoria E Welch, Karl S Rosengren

“…We used Latent Class Analysis to explore overall patterns in children's questions and parents' responses. …”
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Breaking the Standard: Can Oxford Nanopore Technologies Sequencing Compete With Illumina in Protistan Amplicon Studies? by Dana Bludau, Guido Sieber, Manan Shah, Aman Deep, Jens Boenigk, Daniela Beisser

“…While Illumina still dominates the sequencing market and offers high accuracy with low error rates, it is limited by shorter read lengths. ONT provides much longer reads, allowing for greater taxonomic resolution but at the cost of higher error rates. …”
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Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models by Błażej Łyszczarz, Jakub Wojtasik

“…Results We observed notable deviations in work absence rates during the pandemic period (until the end of Q1-2022). …”
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Occupation, displacement, and violence in the West Bank: A retrospective analysis of data from 2014-2024. by Sarah Aly, Fatima Mossolem, Ayeh Khalil, Tushara Surapaneni, Abd Al-Rahman Traboulsi, Waleed Aldadah, Eleanor Reid, Shakoor Hajat

“…Refugee camps had increased death rates: IRR = 7.91 (5.26, 11.89; p < 0.0001) compared to non-refugee camp populations. …”
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Osseointegration potential of boron-coated titanium alloy pedicle screw in rabbit spine model by Hidir Ozer, Mehdi Hekimoğlu, Ibrahim Kulac, Ozgur Can Eren, Yeliz Kasko Arici, Haydar Çelik, Ali Fahir Ozer

“…This study aimed to achieve better osseointegration rates by utilizing the ability of boron compounds to transform stem cells in the vertebra into osteoblasts. …”
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Whole Blood Stimulation Assay as a Treatment Outcome Monitoring Tool for VL Patients in Ethiopia: A Pilot Evaluation by Yetemwork Aleka, Ana Victoria Ibarra-Meneses, Meseret Workineh, Fitsumbrhan Tajebe, Amare Kiflie, Mekibib Kassa Tessema, Roma Melkamu, Azeb Tadesse, Javier Moreno, Johan van Griensven, Eugenia Carrillo, Wim Adriaensen

“…Current treatments produce variable rates of treatment failure and toxicity without sterile cure, rendering treatment efficacy monitoring essential. …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

“…By analyzing spatial coverage rates of transit stations using road network and administrative division data, the study reveals the convenience of bus networks in different regions. …”
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Different molecular characteristics and antimicrobial resistance profiles of Clostridium difficile in the Asia-Pacific region by Yun Luo, Elaine Cheong, Qiao Bian, Deirdre A. Collins, Julian Ye, Jeong Hwan Shin, Wing Cheong Yam, Tohru Takata, Xiaojun Song, Xianjun Wang, Mini Kamboj, Thomas Gottlieb, Jianmin Jiang, Thomas V. Riley, Yi-Wei Tang, Dazhi Jin

“…The antimicrobial resistance patterns were significantly different among the eight sites (χ2 = 325.64, p < 0.001). …”
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The association between four dietary indices and mortality risk in cardiovascular disease patients by Mengshan Pan, Tongle Yin, Ying Yang, Feiyun Zhu, Jiamin Xu, Rucheng Chen, Weijun Zheng

“…Abstract Background The Planetary Healthy Diet Index-United States, the Healthy Diet Index, the Mediterranean Diet, and the Dietary Inflammation Index were linked to mortality rates in cardiovascular patients. This study investigated the relationship between these dietary patterns and all-cause mortality risk in U.S. cardiovascular patients from 2005 to 2006 to 2017–2018. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Our machine learning approach established an activity threshold, above which divergent wavefront patterns—termed “significant sources”—predicted AF recurrence. …”
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Can Fire Season Type Serve as a Critical Factor in Fire Regime Classification System in China? by Huijuan Li, Sumei Zhang, Xugang Lian, Yuan Zhang, Fengfeng Zhao

“…Fire regime (FR) is a key element in the study of ecosystem dynamics, supporting natural resource management planning by identifying gaps in fire patterns in time and space and planning to assess ecological conditions. …”
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Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer by Chuwen Sun, Tong Li, Xin Jin, Zhihui Xiu, Hang Su, Huanming Yang, Ming Liu, Kui Wu

“…Abstract Background Gastrointestinal tract cancer (GIC), including oesophageal cancer (EC), gastric cancer (GC) and colorectal cancer (CRC), is characterised with high global incidence and mortality rates, with similar tumourigenic processes. However, the common and heterogeneous molecular features among GIC at single‐cell level remain poorly characterised. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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Pitfalls in the diagnosis of apparent homozygous mutations: two cases of IL10RA deficiency inflammatory bowel disease and a literature review by Xiu Shi, Ziqing Ye, Lai Qian, Wenhui Hu, Ye Yang, Chunmeng He, Zhiheng Huang, Bingbing Wu, Ying Huang

“…Abstract Background In East Asia, IL10RA is the predominant pathogenic gene in patients with very early-onset inflammatory bowel disease (VEO-IBD), frequently characterised by refractory diarrhoea and severe perianal disease, resulting in elevated death rates. IL10RA-deficient IBD, an autosomal recessive genetic disorder, has been documented to be inherited through the conventional compound heterozygous or homozygous mutation patterns from both parents. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. …”
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