Navigator programme for hospitalised adults experiencing homelessness: protocol for a pragmatic randomised controlled trial by Lucie Richard, Rosane Nisenbaum, Vicky Stergiopoulos, Kerry McBrien, Michael Liu, Rebecca Brown, Anita Palepu, Jesse Jenkinson, Gabriel Fabreau, Cheryl Pedersen, Katherine Francombe Pridham, Sareeha Virani, Fred Ellerington, Alyssa Ranieri, Oluwagbenga Dada, Matthew To, Stephen Hwang

“…The Navigator Programme is a Critical Time Intervention case management programme that was developed to help homeless patients with their postdischarge needs and to link them with community-based health and social services. …”
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The Cumulative Atherogenic Index of Plasma Exposure in Carotid Plaque by YanChen Zhao, MD, XiaoYu Zhao, MD, YunFei Li, MD, YueRuiJing Liu, MD, JinQi Wang, PhD, JiaHe Wang, MD, ZhiYuan Wu, PhD, Jia Liu, PhD, XiuHua Guo, PhD, LiXin Tao, PhD

“…External validation was conducted using data from the Atherosclerosis Risk in Communities study. …”
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Genome-wide association study on salt tolerance of core germplasm resources in watermelon by YUAN Gaopeng, ZHAO Yanlong, SUN Dexi, GAO Bowen, LI Weihua, SHI Mingkun, ZHANG Jingyu, ZHU Yingchun

“…Additionally, we utilized the watermelon genome for gene expression analysis and gene function annotation, ultimately leveraging transcriptome data from both salt-tolerant and saltsensitive materials to identify key candidate genes related to salt tolerance. …”
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HEALTH TECHNOLOGIES FOR INCREASING ADAPTIVE CAPABILITIESOF PREGNANT WOMEN by T. S. Krivonogova, O. M. Gerget, A. A. Ber, Ya. S. Pekker

“…Rotov was used, namely, the consideration of information measure as a measure of biological object preference behavior. Analysis of the results with information criterion of curve types using cluster analysis allowed to identify 4 standard types of adaptation strategies for pregnant women: adaptive, compensatory, compensatory-adaptive and maladaptive compensatory type of response. …”
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PANORAMA DOS ESTUDOS SOBRE AUTOEFICÁCIA E SATISFAÇÃO NO TRABALHO DE DOCENTES DA EDUCAÇÃO BÁSICA by Enizete Andrade Ferreira, Erika Cristina de Carvalho Silva Pereira, Maely Ferreira Holanda Ramos

“…It is remarkable, given the answers obtained from the analysis of the data, the importance of the aforementioned categories in the teaching action. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Results: The results of the analysis of variance (ANOVA) revealed that only soil sampling depth significantly affected the soil CS, but the effect of sampling location and the interaction effect of depth and height were not significant. …”
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Diffusion and Risks of House Prices in the Netherlands by Alfred Larm Teye

“…The methodology adopts a new Bayesian graphical approach which enables a data-driven identification of the important regions where the diffusion may predominantly emerge. …”
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Late-onset telomere biology disorders in adults: clinical insights and treatment outcomes from a retrospective registry cohort by Mareike Tometten, Fabian Beier, Martin Kirschner, Yannic Schumacher, Jeanette Walter, Margherita Vieri, Kim Kricheldorf, Alexander Röth, Uwe Platzbecker, Markus Radsak, Philippe Schafhausen, Selim Corbacioglu, Britta Höchsmann, Stefan Balabanov, Claas Hinze, Jörg Chromik, Michael Heuser, Michael Kreuter, Marcin W. Wlodarski, Miriam Elbracht, Ingo Kurth, Steffen Koschmieder, Jens Panse, Susanne Isfort, Robert Meyer, Tim H. Brümmendorf

“…Patients aged ≥18 years with an age-matched telomere length (TL) <10th percentile in lymphocytes, a detection of either a variant of uncertain significance, a pathogenic, or a likely pathogenic variant in TBD-associated genes, and available clinical data were included in this analysis. Based on this, a novel point-based algorithm for categorization into proven, probable, and suspected-only TBD cases was developed. …”
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Competing risk and random survival forest models for predicting survival in post-resection elderly stage I–III colorectal cancer patients by Qian Zhang, Rongxuan Xu, Wenchong Zhen, Xueting Bai, Zihan Li, Yixin Zhang, Wei Wu, Zhihan Yao, Xiaofeng Li

“…The Fine-Gray subdistribution risk and RSF models we developed have good discrimination power and accuracy. …”
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Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

“…The calibration curve and decision curve analysis demonstrated the model's clinical usefulness.ConclusionA simple and practical nomogram for predicting HRPs accurately in patients with ACS was developed and validated, and is expected to help clinicians diagnose and prevent plaque stability.…”
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Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above by Jing Zhang, Wuyu Xiong, Chengzhi Zhang, Cuiyuan Huang, Wenqiang Li, Li Liu, Wei Wang, Ye Sang, Huiling Zhen, Caiwei Tan, Jiajuan Yang, Jian Yang

“…Methods Clinical data from 234 Non-STEMI patients aged 75 and above were collected and split into a training cohort (164 patients) and a validation cohort (70 patients) using a 70:30 ratio. …”
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Evaluating the Efficacy of Gelatin-Chitosan-Tetraethyl Orthosilicate Calcium Hydroxide Composite as a Dental Pulp Medicament on  COX-2, PGP 9.5, TNF-α Expression and Neutrophil num... by Yulita Kristanti, Mh Busra Fauzi, Bidhari Pidhatika, Iwa Sutardjo Rus Sudarso, Retno Ardhani, Al-qatta Ghadah Abdulrahman, Endytiastuti Endytiastuti, Heni Susilowati, Juni Handajani

“…Alternative materials have been developed to provide more biocompatible materials with better dentin formation ability. …”
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Machine Learning Model Based on Prognostic Nutritional Index for Predicting Long‐Term Outcomes in Patients With HCC Undergoing Ablation by Nan Zhang, Ke Lin, Bin Qiao, Liwei Yan, Dongdong Jin, Daopeng Yang, Yue Yang, Xiaohua Xie, Xiaoyan Xie, Bowen Zhuang

“…Methods From January 2009 to December 2019, we analyzed data from 848 primary HCC patients who underwent local ablation. …”
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Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database by Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu, Xiaodan Wu

“…Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, early clinical diagnosis remains challenging. This study aimed to develop a predictive model for SAE in elderly ICU patients.MethodsThe data of elderly sepsis patients were extracted from the MIMIC IV database (version 3.1) and divided into training and test sets in a 7:3 ratio. …”
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Community-based models for neglected tropical diseases affecting the skin: a scoping review by India Hotopf, Shahreen Chowdhury, Guillermo Robert, Mary Ellen Sellers, Maneesh Phillip, Anil Fastenau, Anil Fastenau, Anil Fastenau, Maria del Mar Marais, Constanze Vettel, Mijanur Rahman, Rajni Kant Singh, Becks Hill, Ahmed Bekere, Laura Dean

“…The UPLIFT study is developing and piloting a harmonised CBG tool. This scoping review aimed to identify preferred practices in existing skin-NTD CBG models and recommend a holistic framework for best practice. …”
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Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling by Muktar H Aliyu, Hafsat U Ibrahim, Rayyan M Garba, Jameel I Ahmad, Kabiru Abdulsalam, Yasir N Jibril, Faisal S Dankishiya, Abdullahi Ibrahim, Ibrahim U Garzali, Aisha A Galadanci, Abdullahi K Suleiman, Abdulgafar L Olawumi, Umar F Abdullahi, Fatima M Mahmud, Amina A Umar, Olive Asafu- Adjaye, Lukman F Owolabi, Baba M Musa

“…Data on test accuracy, costs and TB prevalence were obtained from systematic reviews and meta-analyses, with costs adjusted for inflation and local purchasing power. …”
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Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images by Qingning Yang, Fengxi Chen, Li Li, Rong Zeng, Jiaqing Li, Jingxu Xu, Chencui Huang, Junbang Feng, Chuanming Li

“…A p-value of &lt; 0.05 was considered statistically significant.ResultsThe fully automatic model processed the original MRA data in 13.6 s and provided real-time results, including IA diagnosis and size measurement. …”
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Denervation of rectus capitis posterior minor as neglected factor in Chiari malformation type I revealed by double blinded prospective study by Yunsen He, Qinjiang Huang, Mingbin Bao, Mengjun Zhang, Xiaolin Hou, Ping Liu, Ye Tao, Hongliang Li, Kun Li, Li Liu, Lili Guo, Hao Wang, Zhou Zhang, Bo Wu

“…This study aims to explore RCPmi functionality in CMI patients compared to healthy controls using needle electromyography (nEMG). Data from adult CMI patients and a health group collected from January 2023 to May 2024 were analyzed. …”
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Clinical and Molecular Spectrum of Glutamate Dehydrogenase Gene Defects in 26 Chinese Congenital Hyperinsulinemia Patients by Chang Su, Xue-Jun Liang, Wen-Jing Li, Di Wu, Min Liu, Bing-Yan Cao, Jia-Jia Chen, Miao Qin, Xi Meng, Chun-Xiu Gong

“…Methods. The clinical data of glutamate dehydrogenase hyperinsulinism (GDH-HI) patients were reviewed, and gene mutations were confirmed by whole exome sequencing (WES) and Sanger DNA sequencing. …”
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Dynamic Modeling of Convective Drying of Pineapple Peels: Bioactive, Physical, and Thermal Properties by Raniza de Oliveira Carvalho, Rossana Maria Feitosa de Figueirêdo, Alexandre José de Melo Queiroz, Francislaine Suelia dos Santos, Mailson Gonçalves Gregório, Lumara Tatiely Santos Amadeu, Henrique Valentim Moura, Nailton de Macedo Albuquerque Junior, Fabrícia Santos Andrade, Emily Bezerra Coutinho Cruz, Emerson Zambrano Lara, Josivanda Palmeira Gomes, Marta Suely Madruga

“…The Two-Term model provided the best fit for the data, with an R² above 0.9997. Effective diffusivity increased with temperature, ranging from 2.83 × 10⁻¹⁰ m²/s to 7.96 × 10⁻¹⁰ m²/s, with an activation energy of 47.90 kJ/mol, as described by the Arrhenius equation. …”
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