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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Forecast of myocardial infarction incidence, events and prevalence in England to 2035 using a microsimulation model with endogenous disease outcomes. by Peter Scarborough, Asha Kaur, Linda J Cobiac

“…Age-standardised event rates show a similar pattern, with a non-significant upturn by 2035, larger for men than women. …”
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Prevalence and associated factors of adherence to antihypertensive medication: a nationwide cross-sectional study by Muhammad Arshed, Mehwish Kiran, Muhammad Farooq Umer, Jamil Adnan Samkari, Syed Mehmood ul hassan, Shafqat Qamer, Ali Hassan Gillani, Sajid Hameed, Waseela Ashraf, Hasan Mujtaba, Muhammad Naseem Khan

“…Conclusion These findings highlight the complex interplay of demographics, medication patterns, and economic factors in medication adherence with very low adherence rates in Pakistan. …”
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Comparison of efficacy and safety between surgical and conservative treatments for hemorrhoids: a meta-analysis by Longfang Quan, Xuelian Bai, Fang Cheng, Jin Chen, Hangkun Ma, Pengfei Wang, Ling Yao, Shaosheng Bei, Xiaoqiang Jia

“…Surgery achieved higher rates of complete symptom resolution than conservative therapy (OR = 2.96, 95% CI: 1.66–5.28, p < 0.001). …”
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Trends and disparities in tuberculosis burden in Kazakhstan and Mongolia (2017–2021): a comparative analysis using GBD metrics by Oyunzul Amartsengel, Malika Idayat, Alexander Rommel, Natalya Glushkova, Kairat Davletov, Malik Adenov, Naranzul Dambaa, Lkhagvasuren Khorolsuren, Elena von der Lippe

“…Research highlights the importance of assessing the impact of TB on global morbidity statistics, given its status as a prominent contributor to global morbidity rates and the cause of over a million deaths annually. …”
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Associations of Protein Classes With Cross-Reactivity and Cross-Sensitization in Furry Animal Allergens: A Component-Resolved Diagnostics Study by Lu J, Zhu H, Yang Q, Xu Y, Huang Z, Sun B

“…Inhibition tests using serum albumin (SA) and lipocalin proteins were performed.Results: Sensitization rates of crude extracts from other furry animals ranged from 16.8% to 49.5%. …”
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A tale of two heatwaves: variable daily growth and a broad diet enable neustonic larval cabezon to thrive during warm oceanic conditions by Megan N. Wilson, Megan N. Wilson, Richard D. Brodeur, Toby D. Auth, G. Curtis Roegner, Cheryl A. Morgan, Samantha M. Zeman, Su Sponaugle

“…Findings include the first published measurement of larval cabezon daily growth rates. Mean growth rates were higher during MHWs, suggesting that elevated temperatures did not pose a major growth or survival challenge. …”
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Global burden of atrial fibrillation and atrial flutter due to high alcohol use from 1990 to 2021: estimates from the global burden of disease study 2021 by Xiaoming Wang, Changzheng Chen, Zhihua Yang, Yu Chen, Jun Fan, Renchun Tang, Yankun Shi, Lixia Yang

“…Methods We extracted GBD 2021 estimates on deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for AF/AFL due to high alcohol use across 204 countries. …”
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…LSTM effectively captured short-term patterns but struggled with long-term dependencies, while GRU, though computationally efficient, exhibited higher error rates. …”
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Gut Microbiome Alterations, Mental Health, and Alcohol Consumption: Investigating the Gut–Brain Axis in Firefighters by Ji Youn Yoo, Anujit Sarkar, Hyo-Sook Song, Sunghwan Bang, Gyusik Shim, Cary Springer, Morgan E. O’Brien, Yoonhwa Shin, Songhyun Ju, Sunhee Han, Sung Soo Kim, Usha Menon, Tae Gyu Choi, Maureen E. Groer

“…There were associations between alcohol consumption patterns and aspects of the gut microbiome. This study highlights the mental health challenges faced by firefighters, including elevated rates of PTSD, depression, and alcohol consumption, with specific microbial imbalances linked to PTSD and alcohol use, emphasizing the role of the gut–brain axis.…”
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How plausible is it that PEP would be cost‐effective in sub‐Saharan Africa? by Geoffrey Peter Garnett, Peter Godfrey‐Faussett

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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The addition of quantum computing based attributes (such as quantum bits, their superposition, and quantum gates, etc.) ensures the better diversity of discrete optimized features. …”
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Rabbitpox by Lyudmila F. Stovba, Aleksandr A. Petrov, Dеnis P. Belozerov, Oleg V. Chukhralia, Sergey A. Melnikov, Sergey V. Borisevich

“…A rabbitpox virus may provoke a grave and highly contagious disease in rabbits with a high death rate. The symptoms of this disease in rabbits is similar to symptoms of natural smallpox in humans. …”
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