Diffuse idiopathic skeletal hyperostosis was the specific risk factors of methicillin-susceptible Staphylococcus aureus spine infection: a retrospective study in a single center by Kaori Endo

“…Results A lower incidence of diabetes (p = 0.029), higher C-reactive protein (CRP) levels at onset (p = 0.014), and the presence of diffuse idiopathic skeletal hyperostosis (diffuse idiopathic skeletal hyperostosis (DISH); p = 0.022) were significantly associated with spinal infections in Group A. …”
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Predictive Value of Multiparametric Magnetic Resonance Imaging (T2-weighted Imaging and Apparent Diffusion Coefficient) for Pathological Grading of Prostate Cancer: a Meta-Analysis by Subo Zhang, Jinxin Wan, Yongjun Xu, Leiming Huo, Lei Xu, Jiabao Xia, Zhitao Zhu, Jingfang Liu, Yan Zhao

“…Methods: A comprehensive literature search was conducted across multiple databases, including PubMed, the China National Knowledge Infrastructure dataset, Web of Science, Springer Link and Cochrane Library. …”
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Cefiderocol Antimicrobial Susceptibility Testing by Disk Diffusion: Influence of Agar Media and Inhibition Zone Morphology in <i>K. pneumoniae</i> Metallo-β-lactamase by Maciej Saar, Anna Wawrzyk, Dorota Pastuszak-Lewandoska, Filip Bielec

“…Up to 64% of results fell into the EUCAST area of technical uncertainty (ATU), and categorical agreement varied across media and interpretive criteria. Disk diffusion for cefiderocol may be used in resource-limited settings but only if rigorously standardized using validated media, consistent zone reading, and ATU-aware interpretive strategies. …”
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Ultra-performance liquid chromatography method for quantitative analysis of nystatin and triamcinolone acetonide in topical creams after in vitro release using franz diffusion cell by Seelam Jayadev, Ismail Yusuff, Faiyaz Shakeel, Ubaidulla Uthumansha

“…The proposed UPLC method was found to be linear in the range of 0.65–31.93 µg/mL for TA and 17.67-863.27 IU/mL for Nys with determination coefficients of 1.0000 for both drugs, enabling accurate measurement across a wide range of drug concentrations. Recovery rates and mass balance results were within acceptable ranges, validating the method’s accuracy. …”
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Probabilistic risk assessment of fifteen metal(loid)s and their mixtures in surface sediment of Hongze Lake (China) using the diffusive gradients in thin films (DGT) technique by Changjiang Ma, Yang-Guang Gu, Richard W. Jordan, Shi-Jun Jiang, Meirong Wang

“…Substantial variations in metal concentrations were found across sampling sites, with average values of manganese (Mn) (1,730.56 μg/L) and iron (Fe) (930.58 μg/L) being notably high. …”
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From prediction to practice: mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers by Heather Shaw, Pinkie Chambers, Matthew Watson, Luke Steventon, James Harmsworth King, Angelo Ercia, Noura Al Moubayed

“…This study aims to develop models that could support individualised decisions on the timing of renal and hepatic monitoring while exploring the effect of data shift on model performance.Methods and analysis We used retrospective data from three UK hospitals to develop and validate ML models predicting unacceptable rises in creatinine/bilirubin post cycle 3 for patients undergoing treatment for the following cancers: breast, colorectal, lung, ovarian and diffuse large B-cell lymphoma.Results We extracted 3614 patients with no missing blood test data across cycles 1–6 of chemotherapy treatment. …”
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Early white matter microstructural alterations in cerebral small vessel disease: A tract-specific diffusion tensor imaging and cardio-cerebrovascular risk perspective by Zaw Myo Hein, Muhammad Danial Che Ramli, Usman Jaffer, Che Mohd Nasril Che Mohd Nassir

“…Although DTI metrics such as fractional anisotropy (FA) and mean diffusivity (MD) did not significantly differ across groups, tract-specific analysis revealed that higher QRISK3 scores were significantly associated with reduced white matter integrity in the left SLF. …”
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Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models by Guanjie Yuan, Zhouyan Liao, Ping Liang, Lingli Cai, Kailun Zhou, Ting Yin, Wei Chen, Omar Darwish, Chuou Xu, Min Han, Zhen Li

“…Objectives To explore the optimal choice of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) to assess renal interstitial fibrosis (IF) and annual renal function loss in chronic kidney disease (CKD).Methods One hundred thirty-three CKD patients and 30 controls underwent multi-b diffusion sequence scans. …”
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Distinct cerebral cortical microstructural changes in idiopathic normal-pressure hydrocephalus by Myong Hun Hahm, Shin Young Jeong, Suhyun Kim, Sang-Woo Lee, Ki-Su Park, Eunhee Park, Mi-Yeon Eun, Uicheul Yoon, Kyunghun Kang

“…ObjectiveThe aims of the study were to investigate differences in cortical mean diffusivity (MD) among idiopathic normal-pressure hydrocephalus (INPH) patients, Alzheimer’s disease (AD) patients, and healthy controls, and to analyze mean MD among INPH and AD groups in INPH-specific areas showing distinctive cortical MD changes for distinguishing INPH from AD.MethodsForty-two INPH patients, 51 AD patients, and 23 healthy controls were imaged with MRI, including diffusion tensor imaging MR images, for surface-based analysis across the entire brain.ResultsCompared with healthy controls, INPH patients showed a statistically significant reduction in MD in the high convexity of the frontal, parietal, and occipital cortical regions. …”
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De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints by Sisheng Liao, Gang Xu, Li Jin, Jianpeng Ma

“…This study presents PolypeptideDesigner (PPD), a novel conditional diffusion-based model for de novo polypeptide sequence design and generation based on per-residue secondary structure conditions. …”
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Optimized Captain Selection Using Diffusion-Based Player Behavior Synthesis and Multicriteria Decision Making With Intuitionistic Rough Fuzzy Under Dombi-AHP and PROMETHEE Methods by Ke Wang

“…The selection of the team captain is an essential decision in team-based sports and professional situations, and it requires an optimized option across multiple criteria. Many existing approaches fail to summarize the difficulties of player behaviors and leadership qualities. …”
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Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

“…This study underscores the potential of combining BMI and pulmonary ventilation parameters with ML algorithms as a practical approach to diagnosing diffusion abnormalities across normal-weight, overweight, and obese categories, particularly in contexts utilizing portable spirometers. …”
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Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution by Dorian Quelle, Calvin Yixiang Cheng, Alexandre Bovet, Scott A. Hale

“…Abstract Misinformation and disinformation are growing threats in the digital age, affecting people across languages and borders. However, no research has investigated the prevalence of multilingual misinformation and quantified the extent to which misinformation diffuses across languages. …”
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Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children by Kavari Hercules, Zhiyuan Liu, Eleni Christofilea, Jia Wei, Gladys Venegas, Olivia Ciocca, Alice Dyer, Goeun Lee, Sasha Santini-Bishop, Heather Shappell, Dylan G. Gee, Denis G. Sukhodolsky, Karim Ibrahim

“…Background: It is unclear how transdiagnostic symptoms including attention, disruptive behavior, and internalizing problems are linked to in-scanner motion in children across structural and functional magnetic resonance imaging (fMRI). …”
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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…Recent state-of-the-art methods for MRI reconstruction often employ diffusion-based generative models, but face challenges in incorporating measurement information through likelihood-based updates. …”
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White matter integrity and cognitive performance in the subacute phase after ischemic stroke in young adults by Mijntje M.I. Schellekens, Hao Li, Esther M. Boot, Jamie I. Verhoeven, Merel S. Ekker, Frederick J.A. Meijer, Roy P.C. Kessels, Frank-Erik de Leeuw, Anil M. Tuladhar

“…Group differences in diffusion measures were examined. We investigated associations between FAT, FW and cognitive performance across seven domains. …”
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Modeling trends in multicomponent gas membrane separation process: a review by Chukwuebuka Aninwede, Lukas Kratky

“…This article categorizes different modeling approaches into three categories based on Fick’s law of diffusion, which stipulates that the basis of mass transfer across any membrane system is concentration or partial pressure difference. …”
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Transition time based modelling for sustainable innovation adoption by Adarsh Anand, Khushboo Garg, Ompal Singh

“…Results show consistently strong model performance across all datasets, offering insights into the nonlinear pathways innovations follow from emergence to mainstream adoption.…”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

“…Additionally, a denoising diffusion model learns a prior over scene color, facilitating regularization of the training process and enabling high-quality radiance field reconstruction. …”
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Addressing Labor Needs by Understanding Grower Perceptions about Adoption of Automated Nursery Technologies: A Resource for US Extension Professionals by Laura A. Warner, Alicia L. Rihn, Amy Fulcher, Susan Schexnayder, Anthony V. LeBude, Lloyd Nackley, Margarita Velandia, James Altland

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