Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…The study also reveals that this combination improves user engagement and satisfaction, with interactive installations utilizing VAE + PSO achieving a satisfaction score of 9.0, compared to 7.0 for traditional methods. The findings highlight the transformative impact of these algorithms on art generation, showing that while computational resources and time are higher, the artistic and interactive benefits are substantial. …”
Get full text

Development of an eco-friendly UPLC method for simultaneous quantification of six selected phosphodiesterase-5 inhibitors and serotonin reuptake inhibitors in pharmaceutical formul... by Heba Abdel-Hafeez Mohamed, Mohamed Badawi NourEldin, Asmaa Ahmed El-Zaher, Sally Tarek Mahmoud

“…This study employs quality by design (QbD) concepts to optimize chromatographic settings, assuring good selectivity, precision, and resilience, while conforming to green analytical chemistry standards, in contrast to previously published approaches. …”
Get full text

Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models by Ritika Lakshminarayanan, Ayesha Shaik, Ananthakrishnan Balasundaram

“…While primarily tested on English data, its modular architecture supports adaptation to other languages and dialects through language-specific phonetic datasets. …”
Get full text

Transactive energy management for efficient scheduling and storage utilization in a grid-connected renewable energy-based microgrid by Peter Anuoluwapo Gbadega, Olufunke Abolaji Balogun

“…Comparative analysis reveals that SMA consistently outperforms conventional methods such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) in terms of convergence speed and computational efficiency, making it particularly suitable for real-time energy management. …”
Get full text

A Hybrid Model for Risk-Based Strategic Planning in Open-Pit Mining: Integrating Deterministic, Stochastic, and ISO 31000 Approaches by Petar Markovic, Dejan Stevanovic, Bozo Kolonja, Dragana Slavkovic, Daniel Krzanovic

“…This paper proposes a hybrid model that integrates deterministic and stochastic optimization methods, following the principles of the ISO 31000 risk management framework, to comprehensively quantify uncertainty through key parameters affecting strategic mine planning. …”
Get full text

Adaptive Low-Overhead Channel Estimation Tracking in RIS-Assisted Systems by Hamidreza Khaleghi, Stephane Paquelet

“…Simulation results, focusing on the tracking phase, demonstrate that ALOCET outperforms a representative two-time scale method, while substantially reducing pilot overhead. …”
Get full text

Advancing Injury Prevention and Athletic Performance: Bridging Biomechanics, Technology, and Rehabilitation in Sports Medicine by Małgorzata Wasilewska, Krzysztof Pietrzak, Sebastian Polok

“… Purpose of Research: This study examines recent advancements in sports injury prevention, rehabilitation, and performance optimization, identifying gaps between biomechanical research, technological innovation, and real-world application. …”
Get full text

Impact of value-based care on quality of life, clinical outcomes, patient satisfaction, and enhanced financial protection among hypertensive patients in Ghana: A protocol for a mix... by Duah Dwomoh, Gifty Sunkwa-Mills, Kwasi Owusu Antwi, Maxwell Akwasi Antwi, Tobias Floris Rinke de Wit

“…Value-Based Care (VBC) is a healthcare delivery model that emphasizes improving patient outcomes while optimizing costs. It shifts the focus from the volume of services provided to the value delivered to patients. …”
Get full text

Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments by Ibrahim Dirlik, Ferhat Uğurlar, Cengiz Kaya

“…Treatment 1 (T1) involved low moisture with significant fluctuations (55%–85% soil moisture), while Treatment 2 (T2) maintained optimal and stable moisture levels (70%–85%). …”
Get full text

Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks by Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi

Get full text

Modeling and simulation of optical wireless communication channels in IoUT considering water types turbulence and transmitter selection by M. Mokhtar Zayed, Mona Shokair

“…Among emerging technologies, optical wireless communication (OWC) has gained prominence due to its high-speed data rates and superior efficiency compared to traditional acoustic and radio frequency (RF) methods. This paper presents a comprehensive study of OWC channel modeling and simulation tailored for IoUT applications. …”
Get full text

Study on Ecosystem Service Values of Urban Green Space Systems in Suzhou City Based on the Extreme Gradient Boosting Geographically Weighted Regression Method: Spatiotemporal Chang... by Tailong Shi, Hao Xu

“…Using the InVEST model combined with the entropy weight method (EWM), we assessed the ESV changes over the study period. …”
Get full text

Fractional-order SIR model for ADHD as a neurobiological and genetic disorder by Zeeshan Afzal, Mansoor Alshehri

“…Simulation results demonstrate that optimized interventions significantly reduce ADHD prevalence while minimizing associated costs. …”
Get full text

Finite element analysis-assisted surgical planning and evaluation of flap design in hand surgery by Guang Yang, Hui Shen, Yewon Jang, Xiangyi Cheng

“…Finite element analysis (FEA) provides a quantitative method to simulate and optimize skin flap design during surgery. …”
Get full text

A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…The novelty of this work lies in the seamless integration of an enhanced genetic algorithm and tailored swarm optimization within a unified two-tier architecture. …”
Get full text

A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method by Yulin Shangguan, Xiaoxiao Min, Nan Wang, Cheng Tong, Zhou Shi

“…Then, a dynamic data merging method that considers spatiotemporal nonstationary error was applied to derive the final LHS-SM data. …”
Get full text

Multidimensional assessment of the spatiotemporal evolution, driving mechanisms, and future predictions of urban heat islands in Jinan, China by Lingye Tan, Tiong Lee Kong Robert, Yan Zhang, Siyi Huang, Ziyang Zhang

“…Directional shifts in LST were quantified using the quadrant azimuth method and the standard deviation ellipse method, both of which analyze spatial distribution and dispersion. …”
Get full text

Leveraging Success: The Hidden Peak in Debt and Firm Performance by Suzan Dsouza, Krishnamoorthy Kathavarayan, Franklin Mathias, Dharmesh Bhatia, Abdallah AlKhawaja

“…Larger firms appear more capable of sustaining higher leverage without adverse effects, while smaller firms benefit from maintaining lower debt levels. …”
Get full text

Therapeutic Drug Monitoring of Everolimus Using Volumetric Absorptive Microsampling and Quantitative Dried Blood Spot Methods with LC-MS/MS in Adult Solid Organ Transplant Recipien... by Arkadiusz Kocur, Bartosz Olkowski, Mateusz Moczulski, Dorota Miszewska-Szyszkowska, Olga Maria Rostkowska, Katarzyna Polak, Katarzyna Korniluk, Teresa Bączkowska, Magdalena Durlik, Tomasz Pawiński

“…Due to its narrow therapeutic window and significant pharmacokinetic variability, therapeutic drug monitoring (TDM) is essential for achieving optimal outcomes. We developed and thoroughly validated a robust LC-MS/MS method to measure EVE levels in venous whole blood (WB) and capillary blood collected using two microsampling devices: Mitra™ (volumetric absorptive microsampling, VAMS) and Capitainer^® (quantitative dried blood spot, qDBS). …”
Get full text

Learning to solving vehicle routing problems via local–global feature fusion transformer by Wei Li, Bing Tian Dai, Xueming Yan, Junying Zou, Zhijie Liang, Jingwen Li

“…Abstract Applying Combinatorial optimization problems such as the Vehicle Routing Problems (VRPs) have attracted increasing interest with the emergence of learning-based methods. …”
Get full text