Analysis of Route-Way Dynamics in Urban Traffic Congestion of Enugu, Nigeria by Gladys Ogochukwu Chukwurah, Francis Ogochukwu Okeke, Matthew Ogorchukwu Isimah, Rosemary Nnaemeka-Okeke, Ebere Donatus Okonta, Foluso Charles Awe, Augustine Enechojo Idoko, Shuang Guo, Chioma Angela Okeke

“…The complete absence of Monday traffic due to regional “sit-at-home” orders created a distinctive weekly pattern, with Tuesdays experiencing disproportionate congestion as the de facto first workday. …”
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Virtual reality cue exposure as an add-on to smoking cessation group therapy: a randomized controlled trial by A. M. Kroczek, B. Schröder, D. Rosenbaum, A. Mühleck, J. Diemer, A. Mühlberger, A. C. Ehlis, A. Batra

“…Individualization, e.g., adaptive, individualized approaches, is required to improve the effects of the VR-CET on smoking cessation in future studies. …”
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Acute Events in Primary Health Care Settings: An Analysis of Advanced Practice Competencies in Nursing Consultations in Brazil by Marília Orlandelli Carrer, Letícia Yamawaka deAlmeida, Andrea Liliana Vesga‐Varela, Daiana Bonfim, Patrícia Aline deAlmeida, Carla Pereira Barreto, Nayara Vilela deFarias Serranegra, Keila Gisele Lima Reis, Claudia Santos Martiniano, Manoel Vieira Miranda Neto

“…These findings are particularly relevant for healthcare educators, researchers, regulatory institutions and managers aiming to enhance the effectiveness of nursing consultations for acute events. …”
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Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia by Dereje Biru, Berhan Gessesse, Gebeyehu Abebe

“…Accurate and nondestructive monitoring of the wheat leaf area index (LAI) is important for effective agricultural management and production forecasting. …”
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The validity of a new resilience scale: the Japan Resilience Scale (J-RS) for mothers with a focus on cultural aspects by Mariko Takeuchi, Michiko Matsunaga, Akimitsu Miyake, Ryuichiro Egashira, Sayaka Hotta, Mai Nakano, Misaki Moriguchi, Fumihiko Yasuno, Masako Myowa, Keisuke Hagihara

“…Methods The Japan Resilience Scale (J-RS) is a newly created, 25-item, self-report scale designed to assess resilience. …”
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Reducing caesarean section rates in Robson groups 1 and 3: a quality improvement initiative in a private Brazilian hospital by Ana Pilar Betran, Maria Regina Torloni, Mario Macoto Kondo, Vera Denise de Toledo Leme, Daniela Cristina da Silva Carvalho, Lissandra Borba da Cunha, Elaine Galvão, Andreia Fratoni Ledo, Monica M Siaulys

“…The primary objective of this project was to assess the effects of an intrapartum quality improvement (QI) initiative on CS rates and on maternal/perinatal outcomes. …”
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Business response to environental challenges: three cases of Russian industrial companies by Oleg Vikhanskiy, Natalia Churkina, Sergey Zaverskiy

“…We reveal the positive and negative effects of environmental activities and the problems the companies face while developing and implementing their environmental policies. …”
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Value Propositions for Digital Shared Medication Plans to Boost Patient–Health Care Professional Partnerships: Co-Design Study by Benjamin Bugnon, Francesca Bosisio, Alain Kaufmann, Pascal Bonnabry, Antoine Geissbuhler, Christian von Plessen

“…Integrating co-management into the clinical routine and creating supportive conditions were deemed important. …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…Thus, the machine learning modeling created can effectively analyze various attacks that occur on information systems in the government environment, especially in the classification of large amounts of data. …”
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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility... by Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

“…These guidelines encompass system requirements, data collection and analysis, and user training, offering a comprehensive road map for the effective implementation of the software. …”
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Lactylation-related gene signature accurately predicts prognosis and immunotherapy response in gastric cancer by Xuezeng Sun, Haifeng Dong, Rishun Su, Jingyao Chen, Wenchao Li, Songcheng Yin, Changhua Zhang

“…Utilizing both anti-lactylation and anti-PD-L1 may prove to be an effective approach for treating GC in clinical settings. …”
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基于社区的卒中全生命周期健康管理模式研究进展 Research Progress on a Community-Based Full Life-Cycle Health Management Model for Stroke by 常丹凤1，申斗2，曹欣1，马可菲3，杨燕绥2，张玉哲4，池枫5，刘跃华2，高月霞1 (CHANG Danfeng1, SHEN Dou2, CAO Xin1, MA Kefei3, YANG Yansui2, ZHANG Yuzhe4, CHI Feng5, LIU Yuehua2, GAO Yuexia1)

“…This model not only improves the quality of life for stroke patients but also effectively reduces the burden on families and society.…”
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Optimization by Hydrogen Plasma Treatment of a-CH and Hydrogen/Nitrogen-Assisted a-CH Layers for SAW Sensors by Veronica Satulu, Mihai Paunica, Simona Brajnicov, Sorin Vizireanu, Gheorghe Dinescu, Bogdana Mitu, Cristian Viespe

“…The sensitive materials were created by plasma-enhanced chemical vapor deposition of a-CH films using methane as a precursor with argon and argon admixed with hydrogen or nitrogen and applied on piezoelectric quartz substrates. …”
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Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome by Pedro Pons-Suñer, François Signol, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, Juan A. Delgado Sanchis, Marta Llop, Laura Arnal, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala, Eva Barragán

“…The selected variables align with the European LeukemiaNet (ELN) 2022 risk classification, and the SEQENS-based feature selection effectively reduced the feature set while maintaining prediction accuracy.…”
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Treatment-specific interrupted time series analyses of judicial deference to health technology assessment in Brazil by Mathieu JP Poirier, Tina Nanyangwe-Moyo, Natalia Pires de Vasconcelos, Daniel Wang, Gigi O Lin, Ana Luiza Chieffi, Cauê Freitas Monaco, Zun Ge Mao, Steven J Hoffman

“…To realize the promise of basing difficult decisions on the provision and allocation of health technologies on principles of clinical utility, cost-effectiveness, and equity, the failure to meaningfully incorporate HTA in judicial processes must be addressed.…”
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Synthesis and properties of 3-(ethylthio)-9-methyl-6-(alkylthio)pyrazolo[1,5-d][1,2,4]triazolo[3,4-f][1,2,4]triazines by S. O. Fedotov, A. S. Hotsulia

“…The combination of pyrazole and 1,2,4-triazole fragments in one structure makes it possible to achieve some success in creating potential biologically active compounds. Various factors contribute to this process. …”
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Corn leaf disease diagnosis: enhancing accuracy with resnet152 and grad-cam for explainable AI by Kirubasri Gopalan, Saravanan Srinivasan, Pragya ., Manu Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Conclusion This study demonstrates the effectiveness of the ResNet152 model, enhanced with Grad-CAM for explainability, in classifying corn leaf diseases. …”
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Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…Lagrangian simulations of large particle ensembles are the method in use and effectively reproduce observed particle distributions at synoptic scales <span class="inline-formula">𝒪</span>(1000 km). …”
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Activated NK cells reprogram MDSCs via NKG2D-NKG2DL and IFN-γ to modulate antitumor T-cell response after cryo-thermal therapy by Peng Peng, Lisa X Xu, Yue Lou, Shicheng Wang, Junjun Wang, Zelu Zhang, Peishan Du, Jiamin Zheng

“…High activated NK-cell infiltration and NKG2D level in tumors were positively correlated with better clinical outcomes.Conclusions Cryo-thermal therapy induces effective CD4+ Th1-dominant antitumor immunity by activating NK cells to reprogram MDSCs, providing a promising therapeutic strategy for cancer immunotherapy.…”
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Predictability of Air Pollutants Based on Detrended Fluctuation Analysis: Ekibastuz Сoal-Mining Center in Northeastern Kazakhstan by Oleksandr Kuchanskyi, Andrii Biloshchytskyi, Yurii Andrashko, Alexandr Neftissov, Svitlana Biloshchytska, Sergiy Bronin

“…This type of statistical pre-forecast analysis is essential for developing accurate forecasting models for such time series. The effectiveness of air quality monitoring systems largely depends on the precision of these forecasts. …”
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