Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…Our experiments on a combined dataset (APTOS 2019 + DDR) with pre-processed images showed that the Bayesian-augmented DenseNet-121 outperforms state-of-the-art models in test accuracy, achieving 97.68% for the Monte Carlo Dropout model, 94.23% for Mean Field Variational Inference, and 91.44% for the Deterministic model. …”
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The mediating role of service innovation in the relationship between customer orientation and patient satisfaction by Joseph G. Yeboah, Kojo Tei Amponsah

“…These findings support the incorporation of patient perspectives into healthcare practices to boost service delivery and enhance patient satisfaction. …”
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Characterization of extracellular chitin deacetylase from Aneurinibacillus aneurinilyticus isolated from marine crustacean shell by Poonam Das, Manisha Das, Sheela Kumari Sahoo, Jagneshwar Dandapat, Jyotsnarani Pradhan

“…Commercially, it is produced from chitin via a harsh thermochemical process that has several shortcomings and heterogenous deacetylation product. …”
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A New Computer-Aided Diagnosis System for Breast Cancer Detection from Thermograms Using Metaheuristic Algorithms and Explainable AI by Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane

“…This approach not only boosts the performance of CAD models but also ensures comprehensive interpretability. …”
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Improved aquila optimizer for swarm-based solutions to complex engineering problems by Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman

“…IAO emulates the hunting behaviors of Aquila, elucidating each step of the hunting process. The IAO algorithm contains innovative elements to boost its optimization capabilities. …”
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DYNAMICS OF HEMOSTASIS AND NEUTROPHIL FUNCTIONAL ACTIVITY CHANGES IN PATIENTS WITH VARIOUS SENSITIVITY TO ACETYLSALICYLIC ACID IN ACUTE MYOCARDIAL INFARCTION by I. Yu. Grinshtein, A. A. Savchenko, Yu. I. Grinshtein, N. Yu. Shimokhina, M. M. Petrova, I. I. Gvozdev

“…In MI there is slowed velocity of development of “respiratory boost” in neutrophilic granulocytes that is probably related to compensatory processes in organism and double antiplatelet therapy which is antiinflammatory as well.…”
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Metabolomic Profiling of Cultured-Yeast and Spontaneously Fermented Coffees by Catherine Kiefer, Steffen Schwarz, Sascha Rohn, Philipp Weller

“…Preliminary orthogonal analyses based on non-targeted HPLC-ESI-HRMS tentatively allowed for the identification of individual substance groups that showed process-specific formation or breakdown during controlled coffee fermentation. …”
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Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…To solve the MPPT control task, mathematical models of the Markov Decision Process, solar PV system, and boost converter were developed. …”
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Effect of Mesopore Structural Parameters in Alumina Supports on Catalytic Hydrodeoxygenation of Guaiacol to Cycloalkanes via Ni-Supported Al₂O₃ Catalysts by Wen Huang, Chengyan Wen, Yanting Su, Xinghua Zhang, Longlong Ma

“…The results indicate that optimizing the mesoporous size can enhance catalyst stability and significantly boost selectivity for cyclohexane. Moreover, an increase in the mesoporous volume can further improve the selectivity of cycloalkanes in the products. …”
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Mitochonic acid 5 increases boar sperm quality by mitigating mitochondrial dysfunction by Ruyuan Wang, Adedeji O. Adetunji, Lingjiang Min, Zhendong Zhu

“…Treatment with MA-5, specifically 1 nM MA-5, also significantly boosted mitochondrial membrane potential and ATP content at the 2-h incubation point. …”
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Change of the geopolitical choice of independent Ukraine (current historical aspect) by Bogdan Levyk

“…The paper looks into the processes and conditions which led to the change of the geopolitical vector of Ukraine in the second decade of the 21st century. …”
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Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes by Ahmed Halilu, Mohamed Kamel Hadj-Kali, Hanee Farzana Hizaddin, Mohd Ali Hashim, Emad M. Ali, Suresh Bhargava

“…Diagnostic and SHAP analyses highlighted the gradient boost ensemble algorithm, predicting asymptotic current densities of -4.114 mA/cm2 or -13.340 mA/cm2, with high turnover frequencies (TOF) of 3.79 × 1010 h-1 or 12.30 × 1010 h-1 for CO2 ●− or K2CO3 generation on silver electrodes, respectively. …”
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Thermal annealing-induced structural modifications and electrochemical enhancement of NiO/CNT electrodes synthesized by spray pyrolysis for high-performance supercapacitors by Oluwasegun Emmanuel Ojodun, Patrick Ehi Imoisili, Tien-Chien Jen

“…The synergistic combination of CNTs and NiO in the nanocomposite is responsible for the enhanced performance, which boosts the conductivity, enlarges the surface area, and optimizes the pore network for rapid ion transport and enhanced charge storage. …”
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Effectiveness of computer-based telerehabilitation software (RehaCom) compared to other treatments for patients with cognitive impairments: A systematic review by Fatemeh Sarpourian, Kambiz Bahaadinbeigy, Seyed Ali Fatemi Aghda, Farhad Fatehi, Saeid Ebrahimi, Meysam Fallahnezhad

“…Background The rehabilitation process for cognitive disorders is long and complex, which can lead to reduced rehabilitation outcomes and reduced quality improvement. …”
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Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series by Iris Dumeur, Silvia Valero, Jordi Inglada

“…During the pretraining, U-BARN processes annual time series composed of a maximum of 100 dates. …”
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Prognostic machine learning models for thermophysical characteristics of nanodiamond-based nanolubricants for heat pump systems by Ammar M. Bahman, Emil Pradeep, Zafar Said, Prabhakar Sharma

“…The data collected from the experimental research were used to build prognostic models using modern supervised ML techniques, including Gaussian process regression (GPR) and boosted regression tree (BRT). …”
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Application of technology to empower women in social entrepreneurship: A review by Saikat Gochhait, Renuka Lenka, Aidin Salamzadeh

“…Findings: Technology significantly boosts women’s participation in social entrepreneurship, as it allows them easier access to digital resources, funding platforms, or networks than men. …”
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Lean Blow-Out analysis for the performance assessment of advanced burner designs operating under CO2-diluted air conditions using a high-fidelity CFD approach by Gianmarco Lemmi, Simone Castellani, Roberto Meloni, Sofia Galeotti, Antonio Andreini

“…In this context, an efficient GT-CCS coupling can be achieved by employing high Exhaust Gas Recirculation (EGR) rates to boost CO2 content at the CCS inlet. However, the reduced oxygen levels resulting from these operating conditions pose significant challenges to conventional combustion systems, limiting flame stability and, consequently, engine operability. …”
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Optimizing VGOS observations using an SNR-based scheduling approach by Matthias Schartner, Bill Petrachenko, Mike Titus, Hana Krásná, John Barrett, Dan Hoak, Dhiman Mondal, Ming Hui Xu, Benedikt Soja

“…The primary objective of VGOS is to substantially boost the number of scans per hour for enhanced parameter estimation. …”
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Effects of Exogenous Plant Hormones on Agronomic Traits and Physiological Responses of <i>Elymus sibiricus</i> by Qi Yuan, Juan Qi, Wenhui Liu, Wangyi Du, Mingjie Li

“…As key endogenous signal molecules regulating plant growth processes, plant hormones have significant applications in forage breeding. …”
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