Local Fault Tolerance Analysis in Strictly Nonblocking Clos and Multi-Log_{<italic>q</italic>}<italic>N</italic> Networks by Bey-Chi Lin

“…The analysis is particularly challenging due to the complexity introduced by the extensive routing scenarios inherent to SNB networks. …”
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Network dynamics-based subtyping of Alzheimer’s disease with microglial genetic risk factors by Jae Hyuk Choi, Jonghoon Lee, Uiryong Kang, Hongjun Chang, Kwang-Hyun Cho

“…To address this gap, we have employed systems biology approaches for AD subtyping and identified potential therapeutic targets. …”
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Salutogenic Environmental Health Model—proposing an integrative and interdisciplinary lens on the genesis of health by Jule Anna Pleyer, Laura Dominique Pesliak, Annette Konstanze Fides Malsch, Annette Konstanze Fides Malsch, Timothy McCall, Timothy McCall

“…However, it lacks sufficient specification to reflect the complexity of the environmental dimensions that have emerged from research in environmental health science. …”
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An Experimental Dynamic Investigation of the Influence of Melatonin, Serotonin and Tryptophan on the Stability of the DNA Structure by Cristina Manuela Drăgoi, Anca Zanfirescu, Ion-Bogdan Dumitrescu, Anca Ungurianu, Denisa Marilena Margină, Alina-Crenguţa Nicolae

“…Additionally, the influence of calcium and magnesium ions on the resulting complexes of these indole derivatives with ct-DNA has been evaluated. …”
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Neural Classification of Argument Elements and Styles in Arabic Competitive Debates by Al-Zawqari Ali, Mohamed Ahmed, Abdul Gabbar Al-Sharafi, Mohammad M. Khader, Ali Safa, Gerd Vandersteen

“…Demographic-parity and equalized-odds gaps stay below 0.06 for both gender and native-language groups, indicating that higher accuracy does not come at the expense of equity. …”
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The effectiveness of agricultural carbon dioxide removal using the University of Victoria Earth System Climate Model by R. C. Evans, H. D. Matthews

“…However, there remains a substantial knowledge gap on how the climate will respond to CDR when the removed carbon remains in the active carbon cycle. …”
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AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations by Abeer Aljohani

“…The findings demonstrate the potential of this strategy to handle healthcare complexity and contribute to the developing era of precision medicine. …”
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Assessment of ChatGPT-4 in Family Medicine Board Examinations Using Advanced AI Learning and Analytical Methods: Observational Study by Anthony James Goodings, Sten Kajitani, Allison Chhor, Ahmad Albakri, Mila Pastrak, Megha Kodancha, Rowan Ives, Yoo Bin Lee, Kari Kajitani

“… Abstract BackgroundThis research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier artificial intelligence (AI) models showed limitations in medical board examinations, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis. …”
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Usability of agricultural drought vulnerability and resilience indicators in planning strategies for small farms: A principal component approach by Tanaya Sarmah, Nazmiye Balta-Ozkan, Abdullah Konak, Elisabeth Shrimpton, Karina Simone Sass, Marina Batalini De Macedo, Eduardo Mario Mendiondo, Adelaide Cassia Nardocci, Da Huo, Michael Gregory Jacobson

“…Grouping indicators under common themes reduces the complexity of evaluating similar indicators and aids in selecting the most relevant ones for different contexts. …”
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The optimal treatment of invasive ductal and lobular carcinoma occurring at the same time needs to be established by Supriya Peshin, Rafi Iftekher, Rabia Iqbal, Shagun Singh, Moka Nagaishwarya

“…The case highlights the need for further research into the optimal treatment strategies for synchronous breast cancers, a potential knowledge gap in current oncology practice. A literature review revealed limited reports addressing similar cases, underscoring the lack of consensus guidelines. …”
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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…Research into their role in disease prevention and personalized nutrition is expanding, but challenges such as data complexity, inconsistent methods, and the rapid growth of scientific literature can hinder progress. …”
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UV irradiation effect on paramagnetic properties of nanomagnetite doped with Ag(I) and Au(III) cations by O. M. Lavrynenko, M. N. Zahornyi, M. M. Bataiev, Yu. M. Bataiev, O. Yu. Pavlenko, O. A. Kornienko

“…The obtained data suggests that after UV irradiation the contribution of Fe2+ spins increases, the band gap for Fe3O4 decreases, the rate of charge redistribution at the oxide-metal interface increases, the number of spins in the composite increases. …”
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Analysis of Antioxidant Activity and Volatile Components in Rapeseed Flower-Enriched Persimmon Wine by Zhijie Li, Kaishuo Sun, Yanyan Wang, Fang Yu, Zhiwen Liu

“…This study fills a critical academic gap in understanding microscopic molecular interactions during fermentation and offers a novel perspective for innovation in the fermented food industry.…”
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Tracing distinct learning trajectories in introductory programming course: a sequence analysis of score, engagement, and code metrics for novice computer science vs. math cohorts by Zhizezhang Gao, Haochen Yan, Jiaqi Liu, Xiao Zhang, Yuxiang Lin, Yingzhi Zhang, Xia Sun, Jun Feng

“…Abstract Background With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Consequently, there is an increasing demand for advanced, technology-driven methodologies to predict moisture variations based on climatic inputs. Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Exploring six successful nurse-led transition clinics: Experiences and outcomes by Jobert Sturm, AnneLoes van Staa, Johanna C. Escher, Jane Sattoe

“…This study aims to bridge this gap by exploring nurse-led transition clinics that had successfully implemented core interventions such as a transition coordinator, warm handover, and individual transition plans. …”
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HECM-Plus: Hyper-Entropy Enhanced Cloud Models for Uncertainty-Aware Design Evaluation in Multi-Expert Decision Systems by Jiaozi Pu, Zongxin Liu

“…Uncertainty quantification in cloud models requires simultaneous characterization of fuzziness (via Entropy, <i>En</i>) and randomness (via Hyper-entropy, <i>He</i>), yet existing similarity measures often neglect the stochastic dispersion governed by <i>He</i>. To address this gap, we propose HECM-Plus, an algorithm integrating Expectation (<i>Ex</i>), <i>En</i>, and <i>He</i> to holistically model geometric and probabilistic uncertainties in cloud models. …”
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Collaborative work processes in establishing a MiniMaria treatment center for youth substance addiction: a qualitative inquiry of county council healthcare and municipal efforts by Maria Lindberg, Jofen Kihlström, Irene Hylander, Martin Salzmann-Erikson

“…This study aims to fill this gap by providing insights into the communicative processes that foster organizational cohesion, agility, and innovation. …”
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Identifying ecosystem supply–demand response thresholds for land use optimization: A case study of the Taihu Lake Basin, China by Yangyan Lin, Xibao Xu, Yan Tan, Minkun Chen

“…By 2050, forestland and grassland are projected to expand 4.01 % and 7.70 %, enhancing CS by 3.65 % under SSP126, while under SSP585, urban expansion (31 %) may increase CS supply–demand gap to − 18.77 × 108 t. Cropland, built-up land, and forestland are central in determining ES supply–demand balance and synergy. …”
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Digital leadership in quantity surveying: unveiling key characteristics and their role in driving digital transformation by Darren Vermaak, Gerrit Crafford

“…It fills a significant gap in academic literature and professional practice by highlighting specific leadership traits required for digital transformation in this field. …”
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