Temperature drives the variations in cropland exposure to compound drought and heatwave events under future climate in Northeast China by Chuanwei Zhang, Jiangbo Gao, Lulu Liu, Yanjun Shen, Shaohong Wu

“…Notably, adherence to the SSP126 pathway can reduce both the increase rate of CDHW magnitude and cropland exposure compared to other SSPs. …”
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Organ-specific safety profile of bioinspired short antimicrobial peptides in zebrafish embryos by Sahar Isa Da’as, Sahar Isa Da’as, Hajira Afreen, Aseela Fathima, Ahmad M. Hani, Nura A. Mohamed, Md Mizanur Rahman, Patrick G. Burgon, Sergio Crovella, Haissam Abou-Saleh

“…Peptide E exhibited developmental toxicity at concentrations above 100 μg/mL, along with cardiotoxic effects such as reduced heart rate, variable locomotion patterns, and clear hepatotoxic responses.ConclusionThis study highlights distinct organ-specific toxicity profiles for Peptides C and E and underscores the importance of careful preclinical evaluation of BSAMPs. …”
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CFD, energy, and exergy analysis and sustainability indicators of tilapia fish strips drying using an evacuated tubes indirect solar dryer by Amena Ali Alsakran, Omar Shahat Younis, András Székács, Omar Saeed, Mohamed Hamdy Eid, Ali Majrashi, Atef Fathy Ahmed, Aml Abubakr Tantawy, Abdallah Elshawadfy Elwakeel

“…The optimal air flow rate of 0.03 m3/s provided a uniform drying temperature of 74.82 °C, at solar noon. …”
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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. …”
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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

“…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. …”
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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

“…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. …”
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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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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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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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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. …”
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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. …”
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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. …”
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Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

“…Artificial Intelligence (AI) is transforming healthcare at a rapid rate by enhancing disease prevention, diagnosis, treatment planning and management of health systems. …”
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Transcriptomic and Metabolomic Joint Analysis Revealing Different Metabolic Pathways and Genes Dynamically Regulating Bitter Gourd (<i>Momordica charantia</i> L.) Fruit Growth and... by Boyin Qiu, Dazhong Li, Qianrong Zhang, Hui Lin, Yongping Li, Qingfang Wen, Haisheng Zhu

“…The results revealed that the growth rate of fruit’s fresh weight, length, diameter, and flesh thickness during the first seven days was slow, and that it then rapidly increased after the seventh day, and finally slowed once more after 17 days, indicating that the overall process followed a “slow–fast–slow” pattern. …”
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