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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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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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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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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Space–Time Dynamics of Mortality and Recruitment of Stems and Trees in a Seasonally Dry Tropical Forest: Effect of the 2012–2021 Droughts by Maria Beatriz Ferreira, Rinaldo Luiz Caraciolo Ferreira, Jose Antonio Aleixo da Silva, Robson Borges de Lima, Alex Nascimento de Sousa, Marcos Vinícius da Silva

“…An accumulative effect of droughts on increasing mortality rates and reducing recruitment during the study period was observed. …”
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Non-temperature environmental drivers modulate warming-induced 21st-century permafrost degradation on the Tibetan Plateau by Fu Ziteng, Wu Qingbai, Chen Anping, Wang Luyang, Jiang Guanli, Gao Siru, Yun Hanbo, Chen ji

“…By compiling a 20-year (2001–2020) dataset from 55 in situ monitoring sites, we find permafrost thawing rates increased from 45 ± 15 cm·10a− 1 (2001–2010) to 86 ± 30 cm·10a−1 (2011-2020), while the temperature increasing rates at the top of permafrost rose from 0.15 ± 0.16 oC·10a−1 to 0.38 ± 0.22 oC·10a−1. …”
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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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Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A receiver operating characteristic curve was used to evaluate the accuracy rate of neural network, reaching 100%.Conclusion Our analysis unraveled the difference in the molecular nature and genomic variance in MSI and MSS colon cancer. …”
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Impact of COVID-19 on Ureteroscopy Management of Urolithiasis: Retrospective Comparative Study Before and After Pandemic by Shota Iijima, Takanobu Utsumi, Naoki Ishitsuka, Takahide Noro, Yuta Suzuki, Yuka Sugizaki, Takatoshi Somoto, Ryo Oka, Takumi Endo, Naoto Kamiya, Hiroyoshi Suzuki

“…Referral sources shifted (<i>p</i> = 0.045), with fewer primary care referrals and more from emergency or higher-level hospitals. Stone-free rates (65.6% vs. 58.7%, <i>p</i> = 0.128) and postoperative complication rates were comparable. …”
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Potential suitable area prediction of invasive weeds Tithonia diversifolia A. Gray and Synedrella nodiflora L. Gaertn. in China based on the optimized MaxEnt model by Jing XIE, Nishan DUAN, Lijie KONG, Ruiyi XU, Ruoyu AN, Lijuan ZHOU

“…ResultThe standard deviation of temperature seasonal change and the average temperature in the coldest quarter were the main environmental variables affecting the distribution of T. diversifolia, and the sum of their contribution rates reached 70.8%. The range of annual average temperature change, annual average precipitation and precipitation in the wettest month were the main environmental variables affecting the distribution of S. nodiflora, with the sum of their contribution rates reaching 76.7%. …”
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Associations between 24-hour movement guidelines and health-related quality of life among urban preschool children in Singapore, Japan, and China by Ho Jin Chung, Hyunshik Kim, Jiameng Ma, Terence Chua, Seow Ting Low, Dan Li, Hongzhi Guo, Michael Yong Hwa Chia

“…Notably, Chinese children had the highest adherence rates across all individual and combined movement behaviors. …”
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Global burden of diabetes mellitus 1990–2021: epidemiological trends, geospatial disparities, and risk factor dynamics by Ciming Pan, Beiling Cao, Hui Fang, Yelu Liu, Shuhan Zhang, Wei Luo, Yuanjie Wu

“…Diabetes mellitus(DM) remains a significant global health challenge, characterized by high incidence and Disability-adjusted life years (DALYs) rates. A comprehensive understanding of the disease burden of DM is crucial for developing effective prevention and treatment strategies. …”
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The prevalence of behavioral non- communicable diseases risk factors among black Africans in peri-urban community in South Africa by Sifundile Zamazulu Maphumulo, Gerrit Jan Breukelman, Brandon Shaw, Ina Shaw

“…While females reported lower smoking rates, they exhibited higher levels of physical inactivity than males (23% vs. 14%). …”
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Trends in stroke incidence and mortality in China, Japan, and South Korea (1990–2021) with projections to 2035 by Liyuan Yang, Luhan Fan, Yuanyi Cao, Xinyao Liu, Chao Yang, Yamei Luo, Junhui Zhang

“…From 1990 to 2021, the age-standardised incidence rates (ASIRs) and mortality rates (ASMRs) of stroke for both sexes in China, Japan, and South Korea declined. …”
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Global, regional, and national epidemiology of type 1 diabetes in children from 1990 to 2021: trend and health inequality analyses based on the Global Burden of Disease Study 2021 by Jing Xie, Weilan Li, Xiaomin Li, Xueli Zhang, Jing Liu, Zeye Liu, Shenqi Jing, Hua Shao

“…Results From 1990 to 2021, the global incidence and prevalence of T1D increased significantly, by 32.04% and 41.47%, respectively, whereas the global DALY and mortality rates decreased by 18.33% and 24.83%, respectively. …”
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The burden of migraine and predictions in the Asia–Pacific region, 1990–2021: a comparative analysis of China, South Korea, Japan, and Australia by Yun-Xia Wang, Guang-Shuang Lu, Jin-Jing Zhao, Wei Dai, Na Zheng, Guo-En Yao, Ruo-Zhuo Liu

“…Methods This study utilized data from the Global Burden of Disease (GBD) 2021 to analyze incidence, prevalence, and years lived with disability (YLDs) of migraine. Age-standardized rates (ASRs) were calculated to enable fair cross-country comparisons. …”
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Effect of Resource Abundance on Woodland Rodents' Demography at Latitudinal Extremes in Europe by Giulia Ferrari, Olivier Devineau, Valentina Tagliapietra, Kaja Johnsen, Federico Ossi, Francesca Cagnacci

“…We applied a multistate open robust design model to estimate population patterns and survival rates while controlling for seasonal variation, intrinsic traits, and co‐occurrence of sympatric species. …”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…Additionally, the U-Net-ASPP_Cent and U-Net-ASPP_Diag configurations provided IoU gains of 1.18% and 1.96%, respectively, while also reducing false positive rates. These results highlight the effectiveness of incorporating region-specific dilation strategies, enhancing the model’s ability to detect diverse and challenging fault patterns in complex thermal imagery. …”
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