Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training by Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam

“…In this work, we identify several key factors, such as low initial firing rates and diverse inhibitory spiking patterns, that determine the overall ability to train in the context of spiking networks with various ratios of excitatory to inhibitory neurons. …”
Get full text

Epidemic Dynamics and Intervention Measures in Campus Settings Based on Multilayer Temporal Networks by Xianyang Zhang, Ming Tang

“…Consequently, intervention measures must be dynamically adjusted based on the characteristics of each subnetwork and the epidemic situations, with higher participation rates enhancing the effectiveness of these measures. …”
Get full text

Racial Identity and Student Satisfaction: Analyzing Black College-Student Experiences Through Social Media Expression by Kameron Drumright

“…These findings suggest consistent patterns and differences in racial identity navigation across institutions. …”
Get full text

Economic convergence of Balkan regions towards EU by María A. González-Álvarez, Antonio Montañés, Esther Ruiz, Skender Uku

“…We also categorize groups of economies sharing similar divergence patterns. Additionally, among the regions that converge, convergence rates vary, with some regions progressing faster (Bulgaria, Montenegro and North Macedonia). …”
Get full text

Smart Cities and Affective-Symbolic Urbanism: A Dual Tourist/Resident Perspective by Nikolaos Iason Koufodontis, Eleni Gaki, Stella Zounta

“…Drawing on a new conceptual framework of affective-symbolic engagement, it explores not only adoption patterns but also users’ emotional responses and perceived inclusion. …”
Get full text

Anhedonia: Current and future treatments by Alessandro Serretti

“…Abstract Anhedonia is a transdiagnostic domain that leads to poor disorder outcome and low remission rates. This narrative review describes a broad range of interventions targeting anhedonia, including pharmacological, neuromodulatory, behavioral, and lifestyle‐based approaches. …”
Get full text

The Demographic Challenge Analyzed Through Ageing Indices in Extremadura and Andalusia (Spain) with Cluster Mapping Tools by José-Manuel Sánchez-Martín, José-Luis Gurría-Gascón, Juan-Ignacio Rengifo-Gallego

“…Based on the observation of growing demographic pressure associated with low birth rates and emigration to more economically dynamic areas, a methodological approach based on spatial analysis techniques is proposed. …”
Get full text

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks by A. E. Ibor, D. O. Egete, A. O. Otiko, D. U. Ashishie

“…The model is trained and tested on CICIDS2017 and UNSW-NB15 datasets with a rich collection of attack patterns such as DoS, DDoS, Shellcode, and Worm attacks. …”
Get full text

Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning by Vijay Govindarajan, Junaid Hussain Muzamal

“…The model achieves low false-positive rates and demonstrates real-time inference performance with modest resource requirements. …”
Get full text

Adaptation to sustainable energy use: A case study on agricultural cooperatives by Mustafa Yıldırım, Bengü Everest

“… Energy use rates are continuously increasing with increasing populations. …”
Get full text

Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities, STEM, and social sciences programs at multiple institutions. …”
Get full text

Quantitative Assessment of Regional Carbon Neutrality Policy Synergies Based on Deep Learning by Daiyang Zhang, Enmiao Feng

“…The deep learning model achieves robust prediction accuracy across diverse scenarios, with sensitivity analysis revealing technology learning rates as the most significant parameter influencing predictions (±24.3%). …”
Get full text

An exploration of modeling approaches for capturing seasonal transmission in stochastic epidemic models by Mahmudul Bari Hridoy

“…Seasonal variations in the incidence of infectious diseases are a well-established phenomenon, driven by factors such as climate changes, social behaviors, and ecological interactions that influence host susceptibility and transmission rates. While seasonality plays a significant role in shaping epidemiological dynamics, it is often overlooked in both empirical and theoretical studies. …”
Get full text

The influence of crosslink characteristics on key properties of dynamically cured NR/PP blends by Charoen Nakason, Chanida Manleh, Natinee Lopattananon, Azizon Kaesaman

“…Curing systems caused crosslinking rates, reversion, and crosslink density and distribution variations. …”
Get full text

Integrating Reinforcement Learning into M/M/1/K Retry Queueing Models for 6G Applications by Djamila Talbi, Zoltan Gal

“…Furthermore, singular value decomposition analysis reveals clusters and structured patterns, indicating the effective learning process and adaptation performed by the agent. …”
Get full text

Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
Get full text

Diphtheria and its prevention by Ryabenko Yu.N., Ryabenko E.B.

“…The article analyzes statistical data on the incidence of diphtheria in the Russia at the end of the XX and the beginning of XXI century, provides absolute and relative intensive incidence rates in the country level, examines the patterns of the epidemic process, and defines the role of population antitoxic postvaccination immunity in the prevention of this infection. …”
Get full text

Pleural mesothelioma incidence and use of systemic treatment decreased during the COVID-19 pandemic in The Netherlands by Illaa Smesseim, Li-Anne H. Douma, Jacobus A. Burgers, Ronald A. M. Damhuis

“…Incidence, treatment patterns, and survival rates were analyzed using statistical methods, including Kruskal–Wallis and log-rank tests. …”
Get full text

Molecular epidemiology of <i>Pseudomonas aeruginosa</i> in intensive care units by Demet Timur, Mustafa Ömür Parkan, Esma Gündüz Kaya

“…It was found that antibiotic susceptibility patterns of some clonally related isolates were similar. …”
Get full text

Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
Get full text