Predictive value of the systemic immune–inflammation index for outcomes in large artery occlusion treated with mechanical thrombectomy—a single-center study by Ao Qian, Longyi Zheng, Hui He, Jia Duan, Shuang Tang, Wenli Xing

“…Multivariate analysis demonstrated that heightened SII was significantly related to HT (odds ratio [OR]: 1.061, 95% confidence interval [CI]: 1.035–1.086, p < 0.001), MBE (OR: 1.074, 95% CI: 1.045–1.103, p < 0.001), adverse function (OR: 1.061, 95% CI: 1.031–1.092, p < 0.001), and mortality (OR: 1.044, 95% CI: 1.018–1.070, p = 0.001), after adjusting sex, age, Glasgow Coma Scale (GCS) score at admission, initial National Institutes of Health Stroke Scale (NIHSS) score, baseline Alberta Stroke Program Early Computed Tomography Score (ASPECTS), present HMCAS, occluded vessel region, collateral score and successful revascularization. …”
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Thoracolumbar fascia ultrasound shear strain differs between low back pain and asymptomatic individuals: expanding the evidence by Norio Tomita, Marie-Hélène Roy-Cardinal, Boris Chayer, Stacey Daher, Ameer Attiya, Aline Boulanger, Nathaly Gaudreault, Guy Cloutier, Nathalie J. Bureau

“…Cumulated (C|ShS|L) and maximum (Max|ShS|L) shear strain parameters were computed from radiofrequency data, and TLF thickness was measured on reconstructed B-mode images. …”
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Antifungal activity and biocompatibility assessment with molecular docking and dynamic simulations of new pyrazole derivatives by Basma T. Abd-Elhalim, Ghada G. El-Bana, Ahmed F. El-Sayed, Ghada E. Abdel-Ghani

“…Additionally, the computational ADMET “Absorption–distribution–metabolism–excretion–toxicity” analysis of these compounds revealed adherence to Lipinski’s rules, indicating favorable physicochemical characteristics. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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Neural Network and Hybrid Methods in Aircraft Modeling, Identification, and Control Problems by Gaurav Dhiman, Andrew Yu. Tiumentsev, Yury V. Tiumentsev

“…However, the process of forming such models requires a very large consumption of computational resources. For this reason, the paper considers another variant of the hybrid ANN model. …”
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Efficacy and Safety of Non-Vitamin K Anticoagulants for Atrial Fibrillation in Relation to Different Renal Function Levels: A Network Meta-Analysis by Hao Jin, Kongbo Zhu, Lina Wang, Yifan Li, Jingjun Meng, Hong Zhi

“…NMA was analyzed with R (version 3.5.1, R Foundation for Statistical Computing) with the packages gemtc recalling JAGS (version 4.3.0) for the efficacy and safety of each drug with regard to different levels of renal function. …”
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Construct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study by Johannes Pohl, Geert Verheyden, Jeremia Philipp Oskar Held, Andreas Ruediger Luft, Chris Easthope Awai, Janne Marieke Veerbeek

“…Thirteen AU metrics were computed based on functional movements during non-walking periods. …”
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Is there a difference in bony stability at three months postoperatively between opening-wedge high tibial osteotomy and opening-wedge distal tuberosity osteotomy? by Suguru Koyama, Keiji Tensho, Kazushige Yoshida, Hiroki Shimodaira, Daiki Kumaki, Yusuke Maezumi, Hiroshi Horiuchi, Jun Takahashi

“…Demographic and preoperative radiographic data (weight-bearing line percentage [%WBL], femoral-tibial angle [FTA], medial proximal tibial angle [MPTA], posterior tibial slope and correction angle), and postoperative computed tomography (CT) scan data (initial postoperative stability [12 weeks postoperative], and hinge fracture [1 and 12 weeks postoperatively], and hinge length, flange thickness, flange length, axial flange osteotomy angle, sagittal flange osteotomy angle [1 week postoperatively]) were statistically analyzed. …”
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Significance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease by Alphonse Houssou Hounye, Xiaogao Pan, Yuqi Zhao, Cong Cao, Jiaoju Wang, Abidi Mimi Venunye, Li Xiong, Xiangping Chai, Muzhou Hou

“…The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…These models were used to identify L3 slices from abdominal computed tomography images and divide the images into the three-segmented domains for sarcopenia diagnosis. …”
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors by Linan Yin, Ruibao Liu, Wei Li, Shijie Li, Xunbo Hou

“…Abstract Objective To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarterial chemoembolization (TACE)-hepatic arterial infusion chemotherapy (HAIC) combined with PD-1 inhibitors and tyrosine kinase inhibitors (TKIs). …”
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Corporate Social Responsibility's Influence on Product Innovation: Spotlight on the Mediating Role of Employer Branding (A Case Study of Medium and Large Manufacturing Firms in Bus... by zahra hajizadeh, Ebrahim Rajabpour, Heidar Ahmadi, Majid Esmaeilpour

“…After the data were collected, an average was computed from each company's responses, and one survey per company was chosen as the foundation for the analysis. …”
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Clinical characteristics and prognosis of amyopathic dermatomyositis patients with interstitial lung disease: insights from a retrospective cohort by Yanan Ying, Tingting Wu, Long Wang, Yun Zhang, Yiming Yu, Zaichun Deng, Qunli Ding

“…Patients were stratified into four groups using the Sontheimer criteria and predominant high-resolution computed tomography (HRCT) patterns. Demographic features, clinical presentation, laboratory parameters, duration of ILD, and follow-up data were analysed. …”
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Assessment of post-partum physical exercise practice and its associated factors among women in postpartum period, in West Wollega zone, Oromia, Ethiopia by Tegegne Yadeta, Daniel Belema, Seifedin Ahmad, Nurye Sirage, Abubeker Seid Ali, Kedir Ali, Ali Yimer

“…A sample of 422 women was chosen through a simple random sampling method utilizing computer-generated random numbers. The data was inputted into Epi-Data 4.6 and processed with SPSS 26. …”
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An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…These methods are still confined by limited simulation scales, time-consuming computations, and high-cost operations. In this paper, the two-fluid method was employed for numerical simulations, with a primary focus on the effects of drag, virtual mass, and lift forces on the momentum exchange between phases. …”
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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…We compared model performance against a classical word-vector-based ML model. We subsequently computed discrimination, calibration, clinical utility, and explainability information using a Shapley Additive Explanations value-based post hoc estimation model. …”
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Evaluation of in-vitro and in-silico antidiabetic potential, glucose metabolism, antioxidant, cytotoxicity and phytochemical content of Ipomoea bolusiana Schinz and Ipomoea crassip... by Garland Kgosi More, Nolitha Nkobole, Charmy Twala, Sechaba Machedi, Tebogo Amos Moswetsa, Ramakwala Christinah Chokwe

“…Furthermore, phytochemical characterization and tentative identification was performed using FTIR, 1HNMR and UHPLCOrbitrap HRMS, FTIR, whilst computational studies were also employed to determine the biochemical interaction, antidiabetic and inhibitory potential of the extracts with the α-amylase enzyme. …”
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Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)–Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV. …”
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Micro-Credit Institutions’ Services and Sustainability of Micro, Small and Medium-Scale Enterprises During Covid-19 Pandemic in Kigezi Region, South Western Uganda. by Agaba, Moses, Kaaya, Siraj, Nafiu, Lukman Abiodun

“…The sample size was computed using Yamane's sampling formulae (Yamane, 1967) and was based on a 5% level of precision. …”
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Unity in diversity: navigating global connections through cultural exchange by Dwi Mariyono, Annis Nur Alifatul Kamila, Akmal Nur Alif Hidayatullah

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