The Hidden Economic Consequences of Migraine to the UK Government: Burden-of-Disease Analysis Using a Fiscal Framework by Rui Martins, Samuel Large, Rachel Russell, Gary Surmay, Mark P. Connolly

“…Annually, migraine was estimated to represent £12.20 billion to the public economy, approximately £130.63 per migraine episode. The model predicted annual productivity losses in the health and social care workforce to be £2.05 billion and total annual productivity losses to be over £5.81 billion. …”
Get full text

Survival and Prognostic Factors in Patients with Hepatocellular Carcinoma Treated by Percutaneous Ethanol Injection: A 10-Year Experience by Roberto Mazzanti, Umberto Arena, Pietro Pantaleo, Lorenzo Antonuzzo, Greta Cipriani, Bruno Neri, Clara Giordano, Fabio Lanini, Serena Marchetti, Paolo Gentilini

“…The Child-Pugh and Cancer of the Liver Italian Program scores were effective in predicting prognosis of these patients. In conclusion, PEI still represents a safe and economically sound treatment for HCC.…”
Get full text

Landslide hazard assessment of an urban agglomeration in central Guizhou Province based on an information value method and SVM, bagging, DNN algorithm by Junhua Luo, Zulun Zhao, Wei Li, Liang Huang, Weiquan Zhao

“…The statistical analysis model was combined with a variety of machine learning models, and the selection of negative sample points was restricted in various ways to improve training data accuracy and enable machine learning model predictions with sufficiently supervised prerequisites. …”
Get full text

Reactions of Hydrogen-Passivated Silicon Vacancies in <i>α</i>-Quartz with Electron Holes and Hydrogen by Teofilo Cobos Freire, Jack Strand, Alexander L. Shluger

“…Our calculations of the hydrogen migration mechanisms predict the low energy barriers for H⁺, H⁰, and H⁻, with the lowest barrier of 0.28 eV for neutral hydrogen migration between parallel c-channels and a similar barrier for H⁺ migration along the c-channels. …”
Get full text

Reverse design of broadband sound absorption structure based on deep learning method by Yihong Zhou, Lifeng Ma, Xi Kang, Zhiyuan Zhu

“…The forward network predicts the sound absorption coefficient curve, while the reverse network enables the on-demand design of structural parameters for broadband high sound absorption. …”
Get full text

A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network by Kosar Farajpour Mojdehi, Babak Amiri, Amirali Haddadi

“…The SHapley Additive exPlanations (SHAP) model highlights the pivotal role of certain features in predicting bankruptcy, offering valuable insights for risk mitigation strategies. …”
Get full text

Enhancing Thermal-Hydraulic Modelling in Dual Fluid Reactor Demonstrator: The Impact of Variable Turbulent Prandtl Number by Hisham Elgendy, Sławomir Kubacki, Konrad Czerski

“…Traditional approaches employing a constant value of the turbulent Prandtl number have proven inadequate, leading to inaccurate heat transfer predictions for low Prandtl number liquids. The study carefully selects the appropriate formula for the turbulent Prandtl number in the DFR context, enhancing the accuracy of thermal-hydraulic modelling. …”
Get full text

Age Differences in Long Term Outcomes of Coronary Patients Treated with Drug Eluting Stents at a Tertiary Medical Center by Nicolas W. Shammas, Gail A. Shammas, Peter Sharis, Michael Jerin

“…Multivariate analysis showed that renal failure (odds ratio: 2.55, P=0.045), number of stents per patient (odds ratio: 1.60, P=0.001) and younger age (odds ratio: 0.97; P=0.010), but not gender, diabetes or type of DES stent (EES versus PES) predicted TLF. We conclude that older age was not a predictor of TLF at 2-year follow-up after adjusting for renal insufficiency, number of stents used per patient, gender, diabetes and type of DES used.…”
Get full text

Association of Peripheral Monocyte Count with Soluble P-Selectin and Advanced Stages in Nasopharyngeal Carcinoma by Adi Surya Komala, Andhika Rachman

“…Soluble P-selectin (sP-selectin) is one of several biomarkers that may be predictive of thrombosis in cancer. This study aimed to investigate the correlation between monocyte count and sP-selectin in various stages of nasopharyngeal carcinoma. …”
Get full text

Impact of Anterior Commissure Involvement and Frozen Guided Resections on Oncological Outcomes after Laser Cordectomy in Early Glottic Cancers – A 10-year Retrospective Analysis fr... by Elizabeth Mathew Iype, Ankit Vishwani, Bipin T Varghese, Shaji Thomas, Sahya S Lal

“…Apart from tumor (T) staging, ACI and frozen positivity were negative predictive factors. The results suggest the need to consider ACI in the T staging of glottic tumors. …”
Get full text

Air-Entraining Effect on Rheological Properties of Cement-Based Mixtures by Aigerim Tolegenova, Gintautas Skripkiunas, Lyudmyla Rishko, Kenzhebek Akmalaiuly

“…It has been established that a modified exponential Mooney dependency can be used to predict the yield stress and plastic viscosity of the modified cement mortar (both plasticized and air-entrained).…”
Get full text

Outcome of spine surgery in the context of spinal metastatic disease: The National Surgical Quality Improvement Program by Salim M. Yakdan, Maya Herrera, Nour Wehbe, Monifa Al Akoum, Muhammad Irfan Kaleem, Miguel A. Ruiz-Cardozo, Karan Joseph, Nada Assaf, Hani Dimassi

“…Further research and validation of these predictive models are warranted to ensure their generalizability and applicability in clinical practice.…”
Get full text

Influence of preoperative frailty on quality of life after cardiac surgery: Protocol for a systematic review and meta-analysis. by Kathryn Bezzina, Christophe A Fehlmann, Ming Hao Guo, Sarah M Visintini, Fraser D Rubens, George A Wells, Rosetta Mazzola, Caroline McGuinty, Allen Huang, Lara Khoury, Kevin Emery Boczar

“…<h4>Background</h4>Frailty has emerged as an important prognostic marker of adverse outcomes after cardiac surgery, but evidence regarding its ability to predict quality of life after cardiac surgery is currently lacking. …”
Get full text

Identification of Potential Herbal Inhibitor of Acetylcholinesterase Associated Alzheimer’s Disorders Using Molecular Docking and Molecular Dynamics Simulation by Chandrabhan Seniya, Ghulam Jilani Khan, Kuldeep Uchadia

“…Our molecular docking and simulation have predicted high binding affinity of secondary metabolite (C28H34N2O6) to AChE. …”
Get full text

Attention-based interactive multi-level feature fusion for named entity recognition by Yiwu Xu, Yun Chen

“…Finally, the fused features are fed into the sequence labeling layer to predict the word labels. We conducted generous comparative experiments on three datasets, and the experimental results showed that our model achieved better performance than several state-of-the-art models.…”
Get full text

Estimating the Climate-Controlled Soil Parameters and the Distorted Mound Shape for Analysis of Stiffened Rafts on Expansive Soils by Mohamed H. Abu-Ali, Basuony El-Garhy, Ahmed Boraey, Wael S. Al-Rashed, Hassan Abdel-Daiem

“…Additionally, the proposed equation of the edge moisture variation distance predicts comparable values to that estimated by the program SUCH.…”
Get full text

Role of Pulse Oximetry Screening for Detection of Life Threatening Congenital Heart Detects in Newborn by Aso Faeq Salih, Adnan Mohammed Hamawand, Riyadh Abd Aljabbar Sattar

“…Sensitivity, specificity, positive and negative predictive value for POS in detection of major CHD were 80%, 97.29%, 17.9% and 99.80%, respectively. …”
Get full text

The Relationship between Muscle Ultrasound Parameters and Diabetic Peripheral Neuropathy among Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study by Yanling Zhong, Xiaojia Liu, Teng Lin

“…Among these muscle parameters, the EI of MG had a better predictive value (OR: 1.114, 95% CI: 1.039, 1.196) of DPN. …”
Get full text

HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…Additionally, dilations can diminish the number of trainable parameters, reducing the model complexity and computational cost. The base models’ predictions are concatenated and fed into a meta-learner (i.e., Nu-SVC) for final classification. …”
Get full text

Plasma C1q/TNF-Related Protein-3 (CTRP-3) and High-Mobility Group Box-1 (HMGB-1) Concentrations in Subjects with Prediabetes and Type 2 Diabetes by Huili Wei, Hua Qu, Hang Wang, Huacong Deng

“…Circulating CTRP-3 and HMGB-1 concentrations might be promising biomarkers to predict prediabetes and type 2 diabetes.…”
Get full text