A New Model of Care: Community Appointment Day Outcomes and Impact on Musculoskeletal Physiotherapy Waiting Times by Helen Alexander, Alan Sinclair, Laura Dover, Brian Slattery, Ruth Currie, Mark Russell, Judith Cain

“…Structured thematic analysis was used to create a conceptual model from the qualitative data. …”
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Does the initial GCS of patients with brain arteriovenous malformations impact their postoperative functional outcomes? A single-center study experience and literature review by Alireza Tabibkhooei, Mansour Parvaresh, Mehdi Haghshenas, Mohammad Yavari, Kimia Didehvar, Parisa Javadnia

“…The primary clinical and imaging characteristics of the patients were assessed. Utilizing Python for data analysis, this study aimed to identify correlations among the SM and supp-SM grading, Glasgow Coma Scale (GCS) scores, postoperative Karnofsky Performance Scale (KPS), duration of intensive care unit admission, and intraoperative blood loss. …”
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Immune checkpoint inhibitor-associated diabetes mellitus: the case series report by Yuhong Ma, Jing Xue, Qianwen Cheng, Hesheng Qian, Yingying Du

“…Through a retrospective analysis of the clinical data of these 10 patients, we found that monitoring fasting blood glucose and HbA1c is crucial for patients undergoing or having undergone immunotherapy, as rapid pancreatic β-cell destruction can be observed in those who develop ICI-DM, potentially due to disruption of the PD-1/PD-L1 pathway.…”
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Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain by Lars Mehlum, Ronald C Kessler, Rosa Morros, Gemma Vilagut, Jordi Alonso, Philippe Mortier, Beatriz Puértolas Gracia, Ana De Inés Trujillo, Itxaso Alayo Bueno, Laura Ballester Coma, María Jesús Blasco Cubedo, Narcís Cardoner, Cristina Colls, Matilde Elices, Anna Garcia-Altes, Manel Gené Badia, Javier Gómez Sánchez, Mario Martín Sánchez, Bibiana Prat Pubill, Ping Qin, Diego Palao, Víctor Pérez Sola

“…Using centralised EHR data from the entire public healthcare system of Catalonia, Spain, the CSRC-Epi study aims to estimate reliable suicide attempt incidence rates, identify suicide attempt risk factors and develop validated suicide attempt risk prediction tools.Methods and analysis The CSRC-Epi study is registry-based study, specifically, a two-stage exposure-enriched nested case–control study of suicide attempts during the period 2014–2019 in Catalonia, Spain. …”
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Clinical characteristics and unique presentations of immune checkpoint inhibitor induced type 1 diabetes in Chinese patients from a single institution by Wei Liu, Chunmei Li, Yayu Fang, Xiaoling Cai, Yu Zhu, Qian Ren, Rui Zhang, Mingxia Zhang, Ying Gao, Xueyao Han, Juan Li, Sai Yin, Yongran Huo, Linong Ji

“…Continuous glucose monitoring (CGM) data from 7 of these patients were compared with data from 14 traditional T1D patients, matched for age, sex, fasting C-peptide levels, and diabetes duration. …”
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Outcomes and Predictors of Stroke After Transcatheter Aortic Valve Replacement in the Cerebral Protection Device Era by Shashank Shekhar, Toshiaki Isogai, Ankit Agrawal, Roop Kaw, Gauranga Mahalwar, Amar Krishnaswamy, Rishi Puri, Grant Reed, Amgad Mentias, Samir Kapadia

“…Methods and Results The Nationwide Readmissions Database (2017–2020) was queried to obtain data on patients undergoing transcatheter aortic valve replacement. …”
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Zinc oxide-nanoparticle impregnated poultry droppings activated carbon for model oil desulfurization: Experimental investigation and regression modelling with uncertainty quantific... by Kazeem K. Salam, Idayat A. Olowonyo, Kehinde A. Babatunde, Monsuru O. Dauda, Dauda O. Araromi, Mujidat O. Aremu, Opeoluwa D. Sole-Adeoye, Temitope O. Adesina

“…The desulfurization equilibrium data fitted the Freundlich isotherm, the Pseudo-Second-Order (PSO) kinetic model and, thermodynamic analysis indicated that DBT removal process was spontaneous and endothermic, with entropy (ΔS) and enthalpy (ΔH) changes of 140.12 J/mol·K and 40.25 kJ/mol for PDAC, and 110.49 J/mol·K and 30.01 kJ/mol for PDAC-ZnO-NPs respectively. …”
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Generative AI may create a socioeconomic tipping point through labour displacement by Jo-An Occhipinti, William Hynes, Ante Prodan, Harris Eyre, Roy Green, Sharan Burrow, Marcel Tanner, John Buchanan, Goran Ujdur, Frederic Destrebecq, Christine Song, Steven Carnevale, Ian B. Hickie, Mark Heffernan

“…A system dynamics model was developed to undertake ex ante analysis of the effect of AI-capital deepening on labour underutilisation and demand in the economy using Australian data as a case study. …”
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Efficacy and safety of 1.5% aqueous olanexidine gluconate antiseptic solution compared to 1% alcoholic chlorhexidine for the prevention of intravenous catheter-related infections (... by Takayuki Abe, Nobuaki Shime, Masahiro Kashiura, Takashi Moriya, Toru Hifumi, Hideto Yasuda, Junichi Sasaki, Yuki Kishihara, Keita Morikane

“…Olanedine, containing 1.5% olanexidine gluconate in aqueous solution, was developed in Japan in 2015 and is structurally similar to chlorhexidine. …”
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Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature by Ting Yan, Zhenpeng Yan, Guohui Chen, Songrui Xu, Chenxuan Wu, Qichao Zhou, Guolan Wang, Ying Li, Mengjiu Jia, Xiaofei Zhuang, Jie Yang, Lili Liu, Lu Wang, Qinglu Wu, Bin Wang, Tianyi Yan

“…Multivariate Cox regression was used to construct the radiomics model based on CT data. The mutation signature was constructed based on whole genome sequencing data and found to be significantly associated with the prognosis of patients with ESCC. …”
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Macro-environment oscillation notably up risk of water quality degradation: A case study in Shanxi Reservoir, China by Wangwei Cai, Jihong Xia, Zewen Liu, Jiayi Zu, Shuyi Ji, Yue Wang, Qihua Wang

“…And the water quality data (sample size = 2914) was used to develop a Water Quality Index (WQI) based on Mahalanobis Distance. …”
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A Tale of Side Friction Elements in Dhaka City: From Modeling Real Cases to Revealing Impacts Through Event-Based Simulation by Ahmed Mahir Sultan Rumi, Hasan Nahiyan Nobel, A. H. M. Osama Haque, Abu Humayed Azim Fahmid, Tarik Reza Toha, Nouf Alaloula, Najla Abdulrahman Al-Nabhan, Abdulaziz Abdulrahman S. Alnamlah, A. B. M. Alim Al Islam

“…Therefore, in this study, we attempt to fill this gap. Here, based on real data analysis, we list side friction elements that exhibit substantial impacts on the regular traffic flow on the streets of Dhaka, which includes different categories of roadside objects, pedestrians, and non-motorized vehicles. …”
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Modeling Floral Induction in the Narrow-Leafed Lupin <i>Lupinus angustifolius</i> Under Different Environmental Conditions by Maria A. Duk, Vitaly V. Gursky, Mikhail P. Bankin, Elena A. Semenova, Maria V. Gurkina, Elena V. Golubkova, Daisuke Hirata, Maria G. Samsonova, Svetlana Yu. Surkova

“…These results could be applied both for setting up new experiments and for data analysis using the proposed modeling approach.…”
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Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms by Nizom Farmonov, Khilola Amankulova, Jozsef Szatmari, Alireza Sharifi, Dariush Abbasi-Moghadam, Seyed Mahdi Mirhoseini Nejad, Laszlo Mucsi

“…To obtain this, first, factor analysis was introduced to decrease the size of the hyperspectral image data cube. …”
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Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female b... by Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker

“…Numerous machine learning (ML) models have been developed for breast cancer using various types of data. …”
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Prediction model for cytomegalovirus infection following hematopoietic stem cell transplantation in patients with β-thalassemia major by Lin Pan, Zhenbin Wei, Yanni Xie, Zhaoping Gan, Hongwen Xiao, Lianjin Liu, Lingling Shi, Zhongming Zhang, Meiqing Wu, Yinghua Chen, Yanye Liu, Xuemei Zhou, Chan Li, Chunjie Qin, Yongrong Lai, Rongrong Liu

“…Design: Retrospective cohort study. Methods: Clinical data from 291 β-thalassemia major patients undergoing hematopoietic stem cell transplantation were retrospectively analyzed. …”
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A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

“…By Logistic regression analysis, a score prediction model was developed based on predictive factors, which was internally validated utilizing 1000 bootstrap samples. …”
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Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19 by Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, XinYing Chew

“…By employing advanced machine learning techniques, this study aims to forecast the consumer segments most inclined to acquire travel insurance, allowing targeted strategies to be developed. A comprehensive analysis was carried out on a Kaggle dataset comprising prior clients of a travel insurance firm utilizing the K-Nearest Neighbors (KNN), Decision Tree Classifier (DT), Support Vector Machines (SVM), Naïve Bayes (NB), Logistic Regression (LR), and Random Forest (RF) models. …”
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An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy by Wenxing Hu, Yan Yue, Ruomei Yan, Lixin Guan, Mengshan Li

“…Despite numerous computational methods developed for this purpose, existing approaches still encounter challenges stemming from the complexity of data representation and the difficulty in capturing nucleotide distribution information within sequences. …”
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C-index: A novel method to assess surgical morbidity in obstetric and gynecological surgery: A retrospective study by Chanil Deshan Ekanayake, Arunasalam Pathmeswaran, Sakshara Ranasinghe, Amritha Sridaran, Yeshmitha Madanayake, Samurdika Nishamalee

“…Background: There is a need to develop a method of assessing the outcomes of surgery that is as accurate as studying complications, more objective than patient-reported outcome measures and easier than cost-effective analysis. …”
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