Dopamine modulates persistent synaptic activity and enhances the signal-to-noise ratio in the prefrontal cortex. by Sven Kroener, L Judson Chandler, Paul E M Phillips, Jeremy K Seamans

“…Lower concentrations of exogenous DA (0.1 microM) had no effect on the up-state itself, but they selectively increased the efficiency of a train of EPSPs to evoke spikes during the Up-state. …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…Extracting useful acoustic features is an intricate task due to the inherent variability and complexity in biological targets, as well as environmental and technical factors influencing sound interactions. …”
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Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization by Mohammadreza Shahriari

“…To achieve this, a bi-objective mathematical model is developed to support decision-makers in selecting the optimal schedule for project execution.Methodology: In this study, a bi-objective mathematical model is proposed to balance cost and time, incorporating a nonlinear cost function and the time value of money. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…The relevance of the study is due to the increasing complexity of cyber threats and the need to optimize the resources spent on ensuring the security of information systems. …”
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Slope Stability Monitoring Methods and Technologies for Open-Pit Mining: A Systematic Review by Rohan Le Roux, Mohammadali Sepehri, Siavash Khaksar, Iain Murray

“…Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines, a total of 49 studies were selected from a collection of four engineering databases, and a comparative analysis was conducted to determine the underlying differences between the various methods for open-pit slope stability monitoring in terms of their performance across key attributes, such as monitoring accuracy, spatial and temporal coverage, operational complexity, and economic viability. …”
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Star photometry with all-sky cameras to retrieve aerosol optical depth at nighttime by R. Román, R. Román, D. González-Fernández, D. González-Fernández, J. C. Antuña-Sánchez, J. C. Antuña-Sánchez, C. Herrero del Barrio, C. Herrero del Barrio, S. Herrero-Anta, S. Herrero-Anta, Á. Barreto, Á. Barreto, V. E. Cachorro, V. E. Cachorro, L. Doppler, R. González, R. González, C. Ritter, C. Ritter, D. Mateos, D. Mateos, N. Kouremeti, G. Copes, A. Calle, A. Calle, M. J. Granados-Muñoz, M. J. Granados-Muñoz, C. Toledano, C. Toledano, Á. M. de Frutos, Á. M. de Frutos

“…However, the limited availability and complexity of star photometers have motivated this study to use all-sky cameras to extract starlight signals and derive AOD at night using star photometry. …”
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kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…Finally, kMetha-Mamba utilizes a mamba-based decoder (MBD) with linear complexity and long-range dependencies to achieve high efficiency and precision segmentation. …”
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Characterization of an unusual SARS-CoV-2 main protease natural variant exhibiting resistance to nirmatrelvir and ensitrelvir by Dipendra Bhandari, Oksana Gerlits, Stephen Keable, Leighton Coates, Annie Aniana, Rodolfo Ghirlando, Nashaat T. Nashed, Andrey Kovalevsky, John M. Louis

“…Structural differences in four inhibitor complexes of MProD48Y/ΔP168 compared to wild-type are described. …”
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Identification and Evaluation of Indicators of Science, Technology, and Innovation in Policymaking from the Perspective of Experts by Esmaeil Shirali

“…Within the economic category, the indicators for the complexity of the production process average 3.97, the intensity of industrialization averages 3.72, and intellectual property payments average 3.59, indicating their high favorability. …”
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In Silico Evaluation of ERQ Bioactive Tripeptide as an Anticancer Agent and an Inhibitor of SARS-CoV-2 Enzymes by Gözde Yılmaz, Sefa Çelik, Ayşen Erbölükbaş Özel, Sevim Akyüz

“…Objective: Short peptides play a significant role in exploring drugs with higher selectivity and fewer side effects in cancer and COVID-19 therapies. …”
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An immunoinformatics approach in designing high-coverage mRNA multi-epitope vaccine against multivariant SARS-CoV-2 by Ernawati Arifin Giri-Rachman, Al Mirahma Febri Kurnianti, Rizarullah, Aditya Hanung Setyadi, Anita Artarini, Marselina Irasonia Tan, Catur Riani, Dessy Natalia, Reza Aditama, Husna Nugrahapraja

“…Furthermore, molecular docking analysis revealed potent interactions between the validated 3D structure and the TLR4 and BCR receptors, while molecular dynamic simulations confirmed the stability of the VC-TLR4 and VC-BCR complexes. Additionally, mRNA codon optimization was performed to enhance vaccine expression efficiency, and secondary structure analysis indicated that the designed mRNA vaccine possessed a stable conformation. …”
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Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters by Ran Li, Xiaofei Ye, Shuyi Pei, Xingchen Yan, Tao Wang, Jun Chen, Pengjun Zheng

“…However, compared with single-hazard, multiple disasters confront the challenges of complexity, diversity, and demand urgency. To improve the efficiency of emergency material distribution under multiple disasters, this study first divided multiple disasters into three categories: independent scenario, sequential scenario, and coupling scenario. …”
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Pharmacists’ Experiences on Adverse Drug Reactions in Saudi Arabia: A Cross-Sectional Study by Dalal Salem Bakheit Aldossari, Naeema Taha Alshalaan, Khuloud Salem Alshammari, Fatima Ahmed Lubbad, Mudhi Ratyan Alanazi, Neamah Ahmed Lubbad, Nada Suliman Fahad Alessa, Sheraz Ali

“…Background and objectives: As part of Vision 2030, Saudi Arabia aims to strengthen its healthcare system by enhancing efficiency, reducing medical errors, and ensuring drug safety. …”
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Artificial intelligence methods used in various aquaculture applications: A systematic literature review by Thurein Aung, Rafiza Abdul Razak, Adibi Rahiman Bin Md Nor

“…However, the review also uncovered substantial challenges that will continue limiting widespread adoption, including restricted access to representative data, prohibitive expenses, technical complexities, lack of social acceptance, and data privacy and security concerns. …”
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Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

“…The proposed PD‐based extractor and voice classifier could reduce complexity and improve classification efficiency. Acoustic datasets were selected from the Hillenbrand database for experimental tests on 12 vowels classifications, and K‐fold cross‐validations were performed. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…This leads to some complexity in the method but solves typical problems of the classical algorithm, such as local minima, and increases the optimality and smoothness of the path. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Addressing the scaling and rotation variations in image capture, a flexible and dynamic algorithm, modified Deep Image Registration using Dynamic Inlier (IRDI), is introduced for image registration. Given the complexity of remote sensing images, feature extraction occurs at two levels. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Nevertheless, there remains substantial potential to improve both the effectiveness and efficiency of small object detection in Uncrewed aerial vehicle (UAV) images. …”
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Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy by Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung

“…Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. …”
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Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies by Jianxian Wang, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hazlee Azil Illias, Agileswari K. Ramasamy, Xingyu Wu, Siqi Wang

“…The insights offered herein are expected to provide practical guidance for engineers and researchers for selecting and deploying intelligent fault diagnosis strategies in future distribution networks with high distributed generation penetration.…”
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