Decoding vascular aging: implications for atherosclerosis progression and clinical intervention by Silumbwe Ceaser Wankumbu, Xiao-Man Ji, Ming Xu

“…The World Health Organization (WHO) predicts an increase in advanced mortality by 2030 unless critical interventions are implemented. …”
Get full text

Study on smoke spreading behavior under multi-point centralized smoke extraction in tunnel fires by Houlin Ying, Weibing Jiao, Zhisheng Xu, Jiaming Zhao, Zihan Yu

“…Moreover, the exhaust efficiency of the system improves with increasing extracted volume, but decreases as HRR, vent spacing, and total area of open vents increase. Eventually, the predictive model for the dimensionless back-layering length under multi-point centralized smoke extraction was developed through theoretical analysis. …”
Get full text

Cell Therapy for Refractory Angina: A Reappraisal by Beatrice Bassetti, Patrizia Nigro, Valentina Catto, Laura Cavallotti, Stefano Righetti, Felice Achilli, Paolo Scacciatella, Corrado Carbucicchio, Giulio Pompilio

“…This review will provide an overview of the key elements that may have influenced the results of cell-based trials in the context of RA, focusing in particular on the understanding at which the extent of angina-related endpoints may predict cell-based therapeutic efficacy.…”
Get full text

Serum and Cerebrospinal Fluid Cytokine Biomarkers for Diagnosis of Multiple Sclerosis by Ekaterina Martynova, Mehendi Goyal, Shikhar Johri, Vinay Kumar, Timur Khaibullin, Albert A. Rizvanov, Subhash Verma, Svetlana F. Khaiboullina, Manoj Baranwal

“…ANOVA-based feature and Pearson correlation coefficient scores were calculated to select the features which were used as input by machine learning models, to predict and classify MS. Results. Twenty-two and twenty cytokines were altered in CSF and serum, respectively. …”
Get full text

Generalised fracture mechanics approach to the interfacial failure analysis of a bonded steel-concrete joint by Wouter De Corte, Peter Helincks, Veerle Boel, Jan Klusak, Stanislav Seitl, Geert De Schutter

“…Thus conditions of crack initiation can be predicted from knowledge of the standard mechanical and fracture-mechanics properties of particular materials. …”
Get full text

A Neovascularized Left Atrial Mass by Rania Hammami, Leila Abid, Souad Mallek, Ilyes Kharrat, Mariem Ellouz, Mourad Hentati, Imed Frikha, Samir Kammoun

“…The neovascularization of the mass could be helpful to predict the type of the malformation and whether it is in favour of a vacular tumour rather than a thrombus . …”
Get full text

Addressing fabrication challenges in perovskite-silicon tandem solar cells with advanced simulation techniques by Raman Kumar, Prakash Kanjariya, A. Abu-Jrai, Nagaraj Patil, Mohd Shukri Ab Yajid, Jatinder Kaur, Rahul Singh, P. Vijaya Kumar, Sanjeev Kumar Shah, Mohammad Iqbal Khairandish

“…The obtained results show the potential and effectiveness of process simulations in accurately predicting and improving the PV performance of the tandem solar cell. …”
Get full text

Optimizing Ordering Policies for Imperfect Inventory Systems Integrating Trade Credit and Carbon Emission by Sahil Bhardwaj, Sudhir Kumar Chauhan, Mandeep Mittal, Leopoldo Eduardo Cárdenas-Barrón, Riju Chaudhary

“…This study aims primarily to minimise the predicted total cost by means of a derivative-based technique and to identify the ideal order quantity. …”
Get full text

A Triangular Personalized Recommendation Algorithm for Improving Diversity by Biao Cai, Xiaowang Yang, Yusheng Huang, Hongjun Li, Qiang Sang

“…As such they are very important tools because they provide users with predictions of the outcomes of different potential choices and help users to avoid information overload. …”
Get full text

Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

“…We develop an MWNN-based fitness function to predict the dynamic behavior of nonlinear Vd-PM-DO differential equations. …”
Get full text

Determining Cut-Off Points for the Dental Fear Survey by Maurício Antônio Oliveira, Cristiane Baccin Bendo, Saul Martins Paiva, Miriam Pimenta Vale, Júnia Maria Serra-Negra

“…A cut-off point of 53 on the DFS total score represents the best compromise between sensitivity and specificity and can be used to predict high dental fear.…”
Get full text

LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment by Firas Al-Hindawi, Peter Serhan, Yonas E. Geda, Francis Tsow, Teresa Wu, Erica Forzani

“…Using the LiveDrive AI system, equipped with multimodal sensing (MMS) technology and a driving performance assessment strategy, the proposed work analyzes the predictive capacity of driving patterns in indicating cognitive decline. …”
Get full text

Fear avoidance beliefs and quality of life quality after lumbar disc surgery by Dogan Gucluhan Guclu, Omer Senormanci, Oya Gonullu, Musa Cirak, Guliz Senomanci, Furuzan Kokturk

“…The aim of this study was to evaluate the effects of lumbar disc surgery on FAB and to investigate whether FAB changes predict changes in emotions, disability, and quality of life after lumbar disc surgery. 106 patients with chronic LBP were evaluated 1 day preoperatively and 3 months postoperatively. …”
Get full text

Investigating the Applicability of the Peak Density Thickness Parameter over the Equatorial Region by Mohamed O. Shammat, Bodo W. Reinisch, Ivan Galkin, Philip J. Erickson, Jay A. Weitzen, William C. Rideout

“…This research confirms the presence of PDT in equatorial regions, consistent with its behavior at midlatitudes, and underscores the importance of PDT in refining predictive ionospheric models across different latitudes.…”
Get full text

Alleviating workplace stress: the role of servant leadership in preventing productivity decline among Pakistan’s private higher education institutions by Warda Naseem, Hamid Mahmood, Abdul Rauf, Yuen Yee Yen

“…The findings revealed that stress factors predicted employee altruism and supplementary stimulates productivity and servant leadership reinforces the association between knowledge hiding and employee productivity. …”
Get full text

Failure Probability Analysis of Coherent Systems using Intuitionistic Fuzzy Fault Tree Approach by Mintu Kumar, S. B. Singh, Monika Manglik

“…Therefore, a general approach is required to reliably predict and diagnose system failures that incorporates the uncertainties inherent in failure data. …”
Get full text

Symmetric Dimethylarginine Is Not Associated with Cumulative Inflammatory Load or Classical Cardiovascular Risk Factors in Rheumatoid Arthritis: A 6-Year Follow-Up Study by Theodoros Dimitroulas, James Hodson, Aamer Sandoo, Jacqueline P. Smith, Karen M. Douglas, George D. Kitas

“…Symmetric dimethylarginine (SDMA) indirectly inhibits nitric oxide (NO) synthesis and predicts cardiovascular and all-cause mortality in high-risk patients. …”
Get full text

Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Generative AI systems like ChatGPT have transformed healthcare by personalizing therapy, diagnostics, and predictive analytics. AI systems can examine massive databases to diagnose diseases early, anticipate dangers, and personalize therapies. …”
Get full text

Low thermal expansion in conjunction with improved mechanical properties achieved in Mg-Gd solid solutions by Cuihong Wang, Zhihua Dong, Bin Jiang, Lei Wang, Zhiying Zheng, Ang Zhang, Jiangfeng Song, Dingfei Zhang, Levente Vitos

“…According to first-principle predictions for Mg-Gd solid solutions, the decreased CTE upon alloying with Gd is predominately determined by the reduction of lattice vibrational contribution. …”
Get full text

Difference Analysis of Disaster Types and Grading Control Technologies for Risk of Caving of Coal Roadway Roof by Jicheng Feng, Zhiheng Cheng, Hongbing Wang, Jianjun Shi, Haoyu Shi, Shuaifeng Yin

“…We determine the factors influencing the quantitative relationship between the failure height of the roof and the environment to establish an indicator system for classifying the grades of risk of the roof caving. This is used to predict the height at which the roof caves along the roadway in a coal seam through fuzzy variable weighting analysis. …”
Get full text