Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

“…Before pathological biopsy, all patients underwent biparametric MRI, including T2-weighted imaging, diffusion-weighted imaging, and apparent diffusion coefficient scans. …”
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Prediction of progressive fibrosing interstitial lung disease in patients with systemic sclerosis: insight from the CRDC cohort study by Xiaofeng Zeng, Yong Hou, Qian Wang, Jiuliang Zhao, Mengtao Li, Dong Xu, Xinwang Duan, Jiaxin Zhou, Min Hui

“…Least absolute shrinkage and selection operator regularisation regression and multivariable Cox regression were used to construct the prediction model, which were presented as nomogram and forest plot.Results Among the 304 patients with SSc-ILD included, 92.1% were women, with a baseline average age of 46.7 years. …”
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Application of Intravoxel Incoherent Motion in the Prediction of Intra-Tumoral Tertiary Lymphoid Structures in Hepatocellular Carcinoma by Ma L, Liao S, Zhang X, Zhou F, Geng Z, Hu J, Zhang Y, Zhang C, Meng T, Wang S, Xie C

“…IVIM quantitative parameters and radiomics features were obtained based on the whole delineated tumor volume. By using feature selection techniques, 22 radiomics features, clinical-radiological features (lymphocyte count and satellite nodules), and IVIM parameters (apparent diffusion coefficient (ADC_90Percentile), perfusion fraction (f_Maximum)) were selected. …”
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Implications of helium accumulation models in helium-rich basins in China for the enrichment and exploration of helium in coal measures by Yunbo LI, Chengtao WANG, Dangyu SONG, Xiaowei SHI, Rongqi WANG

“…Therefore, its accumulation mechanisms involve multiple critical scientific issues including the contributive degrees of multiple sources, cross-system diffusion dynamics, the accumulation-controlling effect of structures, and the evaluation of low-abundance resources. …”
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A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease by Guihan Lin, Weiyue Chen, Yongkang Geng, Bo Peng, Surui Liu, Minjiang Chen, Chunying Pang, Pengjun Chen, Chenying Lu, Zhihan Yan, Shuiwei Xia, Yakang Dai, Jiansong Ji

“…Multimodal MRI data, including T1-weighted, resting-state functional MRI, and diffusion tensor images, were collected. Image preprocessing, feature extraction and selection were applied to obtain MRI features from three modalities. …”
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Prevalence, bacterial profile, antimicrobial susceptibility patterns and associated risk factors of bacterial UTI among diabetic patients at Jigjiga University Sheik Hasan Yabare C... by Bawlah Tahir, Niman Tayib, Abdi Hassen Ahmed, Daniel Tolossa, Surafel Mekuria, Shamil Barsenga, Kader Muse, Sara Tesfaye, Addisu Tesfaye, Fasil Getu, Abdurahman Kedir Roble, Abdirizak Mahdi, Mahad Osman

“…Antibiotic susceptibility testing was done by Kirby Baurer disc diffusion method. The data were entered into Epi-data version 4.6, exported to and analyzed in SPSS version 25. …”
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Travelling Policies: by Diogo Gaspar Silva, Jorge Malheiros, Herculano Cachinho

“…Indeed, policymakers have “become highly adept at sharing and adapting new innovations on their own, accelerating the diffusion of good ideas and speeding global [policy] learning” and exchange (UN-HABITAT, 2020, p. 205). …”
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Periprostatic fat magnetic resonance imaging based radiomics nomogram for predicting biochemical recurrence-free survival in patients with non-metastatic prostate cancer after radi... by Xiao-Hui Wu, Zhi-Bin Ke, Ze-Jia Chen, Wen-Qi Liu, Yu-Ting Xue, Shao-Hao Chen, Dong-Ning Chen, Qing-Shui Zheng, Xue-Yi Xue, Yong Wei, Ning Xu

“…Radiomic features were extracted from both intratumoral region and the periprostatic fat region, which were segmented on images obtained through T2-weighted imaging (T2WI) and apparent-diffusion coefficient (ADC) imaging. Three radiomics models were developed by applying the Least absolute shrinkage and selection operator (LASSO) Cox regression, followed by Cox risk regression to construct a combined radiomics-clinical model by integrating the optimal radiomics score and clinicopathological risk factors to draw a nomogram. …”
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Bacterial profile and antimicrobial susceptibility pattern of urinary tract infection among diabetic patients at Bule Hora University Teaching Hospital, Southern Ethiopia by Mohamed Esmael Gena, Getachew Bitew, Elias Chane, Negesse Cherie, Dereje Mengesha Berta, Lidetu Demoze, Muluken Walle, Kalicha Boru, Dagnamyelew Tilahun, Bisrat Birke Teketelew, Abiy Ayele Angelo

“…An institution-based cross-sectional study was conducted among 249 DM patients, selected via systematic random sampling, from July 1 to August 30, 2023. …”
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Factors Affecting Attitudes towards Cohabitation among Iranian Youth by Reyhane Ghasemi Neyasar, Rasoul Sadeghi, Fatemeh Torabi

“…A multi-stage sampling method was employed for sample selection. The demographic characteristics of the sample were as follows: the average age of respondents was approximately 27 years. …”
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From netrin‐1‐targeted SPECT/CT to internal radiotherapy for management of advanced solid tumors by David Kryza, Jennifer Wischhusen, Mathieu Richaud, Maëva Hervieu, Jacqueline Sidi Boumedine, Jean‐Guy Delcros, Sophie Besse, Thomas Baudier, Pierre‐Alexandre Laval, Silvia Breusa, Erwan Boutault, Hugo Clermidy, Nicolas Rama, Benjamin Ducarouge, Mojgan Devouassoux‐Shisheboran, Jean‐Michel Chezal, Anne‐Laure Giraudet, Thomas Walter, Patrick Mehlen, David Sarrut, Benjamin Gibert

“…While netrin‐1, known to be re‐expressed in tumoral cells to promote cancer progression, is usually characterized as a diffusible ligand, we demonstrate here that netrin‐1 is actually poorly diffusible and bound to the extracellular matrix. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... by Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

“…Nine key characteristics were selected for model development: age, duration of surgery, Charson comorbidity index (CCI), tumour stage, measured carbon monoxide diffusion (DLCO, mmol/min/kPa), intra-operative infusion volume (IFIV, mL), red blood cell volume distribution width–coefficient of variation (RDW-CV, %), body mass index (BMI), and number of years of smoking. …”
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Preparation and Adsorption Performance of Polyacrylamide/<italic>Nicandra Physalodes </italic>(L.) <italic>Gaertn</italic> Composite Material for Congo Red Removal by GUO Wanjin, SUN Hao, CAO Chuqing, ZHAO Lijun

“…Isothermal analysis employed the Langmuir and Freundlich models; kinetic analysis involved pseudo-first-order, pseudo-second-order, and intraparticle diffusion models; and thermodynamic analysis calculated parameters to understand the adsorption behaviors and mechanisms of the composite adsorbent on Congo red. …”
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Investigation of methicillin, beta lactam, carbapenem, and multidrug resistant bacteria from blood cultures of septicemia suspected patients in Northwest Ethiopia by Abebe Birhanu, Getachew Gebre, Eden Getaneh, Hana Yohannes, Netsanet Baye, Gizeaddis Belay Mersha, Mitkie Tigabie, Mulat Dagnew, Getachew Ferede, Teshiwal Deress, Wondwossen Abebe

“…The study involved 341 patients suspected of having septicaemia who were selected consecutively through a convenience sampling technique. …”
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How lived experiences of illness trajectories, burdens of treatment, and social inequalities shape service user and caregiver participation in health and social care: a theory-info... by Carl R May, Katja C Gravenhorst, Alyson Hillis, Mick Arber, Carolyn A Chew-Graham, Katie I Gallacher, Frances S Mair, Ellen Nolte, Alison Richardson

“…Eligibility criteria for selecting studies Qualitative primary studies, systematic reviews and meta-syntheses where the participants were service users, or caregivers, aged ≥ 18, with one of six index conditions, and which described their lived experiences of care. …”
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Modulating isomers distribution of n-dodecane hydroisomerization by mordenite-ZSM-22 composite zeolite by Jiangnan Xiang, Wei Zhang, Yuting Wang, Haiying Lu, Yan Wang, Weijiong Dai, Binbin Fan, Jiajun Zheng, Jinghong Ma, Ruifeng Li

“…The ZLC diffusion experiment results indicate that low isomer selectivity of Pt/HMOR is due to its poor diffusivity. …”
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Analysis of the Application Prospect of Computer Image Processing Technology in UI Design by Guofeng Ma, Junhong Yang

“…In order to improve the interface experience effect of the mobile terminal software, this paper improves the UI design by combining computer image processing technology and improves the diffusion algorithm for images by improving the diffusion model, improving the diffusion coefficient and adaptively selecting the diffusion threshold. …”
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Thermodynamic properties and drying kinetics of Bauhinia forficata Link leaves by Fernanda P. da Silva, Valdiney C. Siqueira, Elton A. S. Martins, Fábio M. N. Miranda, Rogerio M. Melo

“…After the drying process, the effective diffusion coefficient was determined through the theory of diffusion in liquid, allowing to obtain the values of the activation energy, enthalpy, entropy and Gibbs free energy. …”
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Solution Uptake in Cylindrical Carbon-Fibre-Reinforced Polymer (CFRP) Tendons by Paul Scott, Eleni Toumpanaki, Janet M. Lees

“…The higher temperature is selected to accelerate the moisture uptake. It is found that the measured ratios of tendon and epoxy diffusivity were temperature dependent, and the combination of the higher temperature and salt solution leads to an increased propensity for moisture uptake in the tendon. …”
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Adsorption kinetics of divalent metals on amino-functionalized carbon nanomaterial by Božo Dalmacija, Aleksandra Šućurović

“…The subject of this study was to investigate the adsorption behavior of selected divalent metals (Cu (II), Cd (II), Pb (II)) on amino-functionalized multiwalled carbon nanotubes, MWCNT-NH2, at four selected pH values (3; 4.5, 6, 11), in order to estimate the possibility of using MWCNT-NH2 to remove ion metal from aqueous solutions at relatively low concentrations (0.01-0.1 mg L-1). …”
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