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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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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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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Impact of post-transplant cyclophosphamide with bendamustine on immune reconstitution in young patients undergoing T-cell replete haploidentical bone marrow transplantation: result... by Forrest L. Baker, Forrest L. Baker, Forrest L. Baker, Jessica Stokes, Megan J. Cracchiolo, Dan Davini, Richard J. Simpson, Richard J. Simpson, Richard J. Simpson, Richard J. Simpson, Emmanuel Katsanis, Emmanuel Katsanis, Emmanuel Katsanis, Emmanuel Katsanis

“…Multi-parameter flow cytometry and TCR β sequencing of genomic DNA was performed on isolated PBMCs on PT days +30, +60, +100, +180, and +365.ResultsOverall, the PT-CY/BEN (n=14) regimen was associated with earlier neutrophil and platelet engraftment, reduced transfusion requirements, and comparable clinical outcomes to PT-CY (n=10), including survival and relapse rates. PT-CY/BEN patients exhibited distinct immune reconstitution patterns, characterized by earlier CD4+ T-cell recovery, impaired CD8+ T-cell engraftment, and reduced NK-cell counts. …”
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Multimorbidity frailty index and clinical outcomes among 42,989 older heart failure patients directly discharged from emergency departments: A nationwide retrospective cohort study by Wan-Ju Liao, Hsi-Yu Lai, Liang-Yi Lin, Cheng-Hsueh Wu, Fei-Yuan Hsiao, Liang-Kung Chen

“…Readmission rates showed similar patterns. The severely frail group had higher risks of mortality (aHR 1.44, 95 % CI 1.33–1.55), all-cause readmissions (sHR 1.69, 95 % CI 1.62–1.76), and HF-related readmissions (sHR 1.59, 95 % CI 1.48–1.71). …”
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Farm households’ livelihood adaptive capacity under multiple pressures of small watershed management by Yaru Sun, Yilin Gan, Jing Luo, Tingting Han, Hafo Wang, Ruirui Yang, Lingling Tian

“…However, the FHLAC remains predominantly low to moderate in the small watershed. The contribution rates of livelihood pressure, livelihood capital, and willingness to adapt to FHLAC are 22.24 %, 28.69 %, and 49.07 %, respectively. …”
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Dynamics of mental state and prolactin levels in patients with chronic schizophrenia during aripiprazole therapy by L. N. Gorobets, I. V. Dorovskikh, A. V. Litvinov, V. S. Bulanov, S. K. Gamdullaev, T. A. Pavlova

“…The effectiveness of therapy does not depend on the background values of the hormone: at high rates, prolactin levels decrease, and at low rates, they increase. …”
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Geospatial analysis of cholera outbreak in Lusaka, Zambia, between 2023 and 2024 by William Ngosa, Tadatsugu Imamura, Nyuma Mbewe, Joseph Seriki, Oscar Nzila, Fred Mfune, Godfrey Zulu, Chomba Mulando, Tizha Chiluba, Luo Miyanda, Agness Phiri, Lucy Sichone, Galion Mwape, Kapambwe Mulenga, Charles Chileshe, Nawa Mabuku, Dabwiso Banda, Fangyu Yan, Taro Kamigaki, Roma Chilengi, Nyambe Sinyange

“…Results Over the study period, 4,591 suspected cholera cases with geocoordinate data were identified, with incidence rates varying across the constituencies. Median cholera incidence (IQR) was 0.55 (0.27–1.44) in Lusaka, with higher incidence rates observed in unplanned residential areas. …”
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Molecular and genomic investigation of an urban outbreak of dengue virus serotype 2 in Angola, 2017-2019. by Zoraima Neto, Pedro A Martinez, Sarah C Hill, Domingos Jandondo, Julien Thézé, Marinela Mirandela, Renato Santana Aguiar, Joilson Xavier, Cruz Dos Santos Sebastião, Ana Luísa Micolo Cândido, Filipa Vaz, Gisel Reyes Castro, Joana Paula Paixão, Nicholas J Loman, Philippe Lemey, Oliver G Pybus, Jocelyne Vasconcelos, Nuno Rodrigues Faria, Joana de Morais

“…<h4>Background</h4>The transmission patterns and genetic diversity of dengue virus (DENV) circulating in Africa remain poorly understood. …”
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Dynamic parking space allocation at urban scale: Problem formulation and resolution by Hanae Errousso, Jihane El Ouadi, El Arbi Abdellaoui Alaoui, Siham Benhadou

“…To do this, we consider both solicitation rates in these areas and coverage ratios of received parking demands. …”
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The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study by Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu, Yishuang Wen, Shuyi Zhang, Wen Huang

“…After COVID-19 outbreak, there was an increase in new-onset MG patients, with more cases occurring within the first three months. The rates of pulmonary inflammation (40.28%), COVID-19 vaccination (88.14%), and treatment with tacrolimus (15.98%) and MG duration (15 weeks, IQR: 5.75, 32) were higher, while rates of thymectomy (13.92%), baseline MG-ADL (3, IQR: 3, 6), and QMGS (7, IQR: 5,8) were lower compared to new-onset MG patients before COVID-19 outbreak. …”
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Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China by Yuanzheng Li, Lan Wang, Min Liu, Guosong Zhao, Tian He, Qizheng Mao

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Differential accumulation of secondary metabolites as indicators of graft incompatibility in Cyclocarya paliurus by Sun Caowen, Xu Run, Guo Xuchen, Shang Xulan, Fang Shengzuo

“…This study aimed to investigate the secondary metabolites associated with graft success in C. paliurus by selecting three clones and three provenances as grafting scions and rootstocks. The survival rates of various graft combinations were meticulously recorded. …”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…Additionally, error rates are low in both groups, suggesting that observed discrepancies might be due to individual variation rather than condition-specific deficits, even though the statistical power of the study is limited. …”
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Clustering Library Loan Books Using K-Means Clustering by Mawar Indah Tanjung, Sriani Sriani

“…This study aims to classify books based on borrowing patterns to provide insights into library collection management. …”
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Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

“…However, little is known about which populations have higher rates of underreporting. Availability of more accurate measures of smoking during pregnancy could greatly enhance the usefulness of existing studies on the effects of maternal smoking offspring, especially in those populations where underreporting may lead to underestimation of the impact of smoking during pregnancy.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. The algorithm’s adaptability to various biomedical data patterns enables more effective real-time monitoring and decision-making in IoT-based healthcare environments. …”
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