Real-time epidemiological surveillance data: tracking the occurrences of avian influenza outbreaks around the world by Francesco Branda, Ranjan K. Mohapatra, Lawrence Sena Tuglo, Massimo Ciccozzi, Fabio Scarpa

“…Data description The dataset includes comprehensive and up-to-date information on epidemiological patterns, including geographic spread, incidence rates, and demographic factors. …”
Get full text

Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris‐Covered Glaciers by Pascal Buri, Evan S. Miles, Jakob F. Steiner, Silvan Ragettli, Francesca Pellicciotti

“…Abstract The thinning patterns of debris‐covered glaciers in High Mountain Asia are not well understood. …”
Get full text

Anomalous Transport in Dissolving Porous Media: Transitions Between Fickian and Non‐Fickian Regimes by Jingxuan Deng, Rishabh P. Sharma, Piotr Szymczak, Peter K. Kang

“…Depending on the interplay between advection, diffusion, and reaction rates, mineral dissolution produces distinct dissolution patterns, such as wormholing and uniform dissolution. …”
Get full text

Surface Salinity Variability in the Gulf of Mexico During Flood and Drought Years by Pamela J. Lee, Richard J. Brokaw, Ebenezer S. Nyadjro, Bulusu Subrahmanyam

“…We combine satellite‐derived sea surface salinity (SSS), ocean currents, and river discharge rates to examine patterns of salinity distribution throughout the entire GoM basin. …”
Get full text

Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…We evaluated A-MUD error rates using manually segmented sound files as a 'gold standard' reference, and compared them to a commercially available program. …”
Get full text

CONVERGENCE IN CORPORATE GOVERNANCE: THE CASE OF CHINA AND INDIA by A. Majumdar

“…China and India face similar challenges in maintaining their aggressive rates of economic growth. While both countries attained economic independence in the late 1940s, each followed a different path in terms of growth. …”
Get full text

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

“…High rates of expressed external identity consciousness, persistent alienation, and institutional criticism show that, while legal segregation has long since ended, its psychological legacy continues to shape Black educational experiences today. …”
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

“…A quantitative analysis of 194 respondents reveals that while adoption rates are similar across roles, residents and tourists differ in usage routines, usability experiences, and sensitivity to symbolic cues. …”
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

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

“…The system’s performance is examined under extensive simulations, taking into account multiple arrival rates, queue sizes, and reward scaling factors. The results show that the integration of RL in the 6G-RQS model successfully enhances queue management while maintaining the high performance of the system, and this is by increasing the number of mobile terminals served, even under different and higher traffic demands. …”
Get full text