Effect of Soil Salinity on Thermal Behavior of Sandy Soils Under a Sahara Climate by Djihad Bennaceur, Nadia Laredj, Mustapha Maliki, Hanifi Missoum

“…This paper proposes a conceptual and numerical model for predicting the hydrothermal behavior of unsaturated soils. …”
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A comprehensive insight of innovations and recent advancements in nanocarriers for nose-to-brain drug targeting by Naeem Mubarak, Muhammad Ahsan Waqar, Asad Majeed Khan, Zainab Asif, Aima Subia Alvi, Aqsa Arshad Virk, Sakeena Amir

“…Central Nervous System (CNS) disorders are the leading cause of illness and affect the everyday lives of people all around the globe and are predicted to increase tremendously in the upcoming decades. …”
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Extraction of Zinc and Manganese from Alkaline and Zinc-Carbon Spent Batteries by Citric-Sulphuric Acid Solution by Francesco Ferella, Ida De Michelis, Francesca Beolchini, Valentina Innocenzi, Francesco Vegliò

“…A second series of leaching tests is also performed to derive other empirical models to predict zinc and manganese extraction. Precipitation tests, aimed both at investigating precipitation of zinc during leaching and at evaluating recovery options of zinc and manganese, show that a quantitative precipitation of zinc can be reached but a coprecipitation of nearly 30% of manganese also takes place. …”
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Cryptophyte diversity and assembly mechanisms reveal ecological discontinuities in a river-estuary-coast continuum by Changyun Wang, Yao Liu, Zhuyin Tong, Shujie Cai, Yichong Wang, Nengwang Chen, Bangqin Huang, Wupeng Xiao

“…Contrary to Remane’s Artenminimum hypothesis, which predicts a minimum in species diversity at intermediate salinities, we observed a peak in cryptophyte richness within the estuarine zone. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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 . …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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