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. …”
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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. …”
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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. …”
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Women’s Participation in the Information Systems Career at the National University of Costa Rica and Their Performance in Programming Courses by Sonia Mora-Rivera, Mayela Coto-Chotto, Johnny Villalobos-Murillo

“…The findings support the worldwide results about the underrepresentation of women in the career. Permanency patterns are similar for both sex, and women tend to be more effective in graduating. …”
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The characteristics of rural sunroom residences on the Tibetan Plateau: the role of sunrooms, their integration, and impact on functional arrangement by Luyao Chen, Daisuke Sumiyoshi, Matheus Cordeiro, En Li

“…As new residential components, they have brought about changes in the spatial order and usage patterns of housing in various aspects. Therefore, there is a need to understand the sunroom in terms of locals’ residential habits and concepts. …”
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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). …”
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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. …”
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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. …”
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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. …”
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Impact of carbonation on reinforced concrete structures, considering the increase of CO2 due to climate change in Brazil by Chiara Pinheiro Teodoro, Rogério Carrazedo

“…These findings underscore the urgency of adapting construction practices to consider accelerated carbonation rates in urban environments and the need for ongoing research to refine predictive models and update construction standards accordingly.…”
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Culture comes first: minorities’ behavior during the Covid-19 pandemic: Arabs and Ultra-Orthodox Jews in Israel by Gadi Hitman

“…Both communities also suffered from high morbidity rates compared to the general population. The main conclusions of the study are: (1) Ultra-Orthodox Jews disregarded official decrees and obeyed only the religious leadership; (2) the Arab population distrusted the official establishment and its instructions for two major reasons: longstanding neglect of the health system in Arab localities and frequent policy changes during the pandemic; (3) both groups maintained their patterns of collective behavior despite formal instructions to avoid it during the pandemic; and (4) the state failed to provide both communities with updated information during the pandemic, which increased both groups’ distrust of the formal state instructions. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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%). …”
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Spatial multi-parameter assessment of rivers water quality in Yogyakarta by Nursetiawan, Wijaya Diva Darma

“…El Niño-Southern Oscillation (ENSO) affects climate patterns, leading to increased temperatures, high evaporation rates, and reduced precipitation in affected regions. …”
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TRENDS AND GLOBAL COLLABORATION IN SUSTAINABLE DEVELOPMENT GOALS ACCOUNTING by CÎRSTEA ANDREEA

“…Additionally, the high citation rates suggest a growing interest and influence of SDG accounting research in the global sustainability discourse. …”
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Artificial intelligence in breast oncology by Alexander Mundinger

“…The ability of AI to uncover hidden patterns in multi-omics, immune regulation and tumor defense, as well as to develop new drugs, will advance the integrative fight against breast cancer.…”
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Interpretable Identification of Dynamic Adaptive Streaming over HTTP (DASH) Flows Based on Feature Engineering by Arkadiusz Biernacki

“…The clustering achieved precision between 0.78 and 0.93, while recall rates ranged from 0.68 to 0.84, depending on the experiment parameters, which is comparable with black-box learning models. …”
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