Machine learning-based inertia estimation in power systems: a review of methods and challenges by Santosh Diggikar, Arunkumar Patil, Siddhant Satyapal Katkar, Kunal Samad

“…Advanced methodologies, such as hybrid and ensemble models, are examined for their effectiveness in overcoming challenges posed by noisy data, dynamic behaviors, and complex grid configurations. Some advanced techniques demonstrate proficiency in analyzing complex datasets and providing real-time insights into the evolving dynamics of inertia. …”
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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

“…The relationships among these predictors are complex, often nonlinear, non-additive, and include reverse causality, making it difficult for traditional econometric models to capture them. …”
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Spatial–Temporal Transformer for Optimizing Human Health Through Skeleton-Based Body Sports Action Recognition by Faze Liang, Lejia Ou, Zujun Lei, Xiaohong Tu, Kai Xin

“…These components collectively enable the framework to handle complex co-movement patterns, occlusions, and variability in execution styles. …”
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Examining adherence to oral anticancer medications through a human factors engineering framework: Protocol for a scoping review. by Irene D Lin, Matthew B Shotts, Ahmad Al-Hader, Kellie Jones Weddle, Richard J Holden, Emily L Mueller, Monica R Macik, Mirian Ramirez, Ephrem Abebe

“…Poor adherence levels may indicate gaps in current strategies and interventions aimed at enhancing medication adherence and the extent to which they address the complex and multi-faceted medication management needs of patients and their caregivers. …”
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Intersectional research on dementia care for people from culturally and linguistically diverse backgrounds: a protocol for a scoping review by Oliver Razum, Martina Roes, Kübra Altinok, Seda Güney, Bugse Yüceer

“…The results will be presented at conferences and disseminated through peer-reviewed articles and practical publications.Discussion The findings of the study will address the important gaps in knowledge on the complex intersecting factors that influence the preferences of CALDPwD. …”
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Legal Literacy in Indonesia: Leveraging Semantic-Based AI and NLP for Enhanced Civil Law Access by Rozaq Abdul, Fitri Rahimi, Akbar Muhammad Sohiburroihan, Sumari Mohammad Hollandi, Khafiyya Nida’an, Wardiah Isna, Sholihin Fuad

“…This approach not only bridges gaps in understanding complex legal systems but also offers a scalable solution to improve public access to legal guidance. …”
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Code-switching in Second Language Acquisition: A Systematic Literature Review on Benefits and Challenges by Lyn C. Lauta, Michael Estremera

“…The findings of this review reveal that CS can serve as a valuable and versatile strategy for learners, enabling them to overcome temporary linguistic limitations, enhance comprehension of complex concepts, and actively participate in communication even when faced with gaps in their target language proficiency. …”
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Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning by Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah

“…The increasing complexity of Intelligent Transportation Systems (ITS), that comprise a wide variety of applications and services, has imposed a necessity for high-performance Modern Hardware Devices (MHDs). …”
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Cystic fibrosis-related bone disease: an update on screening, diagnosis, and treatment by Crystal Cobb, Malinda Wu, Vin Tangpricha

“…Cystic fibrosis-related bone disease (CFBD) is a common endocrinopathy in people living with cystic fibrosis (CF) that is complex and multifactorial in origin. People with CF experience high rates of progressive bone density loss and increased fracture risk. …”
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Strategies for applying interpretable and explainable AI in real world IoT applications by Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Badrea Al Oraini, Asokan Vasudevan, Ayman Hindieh, Ali Altarawneh, Muhammad Turki Alshurideh, Imad Ali

“…Abstract With the growing complexity of AI models, and as well as the requirement for transparency and trust, integrating XAI into IoT applications is gaining greater momentum. …”
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Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities by Denis Leite, Emmanuel Andrade, Diego Rativa, Alexandre M. A. Maciel

“…While ML-based RT-FDD offers different benefits, including fault prediction accuracy, it faces challenges in data quality, model interpretability, and integration complexities. This review identifies a gap in industrial implementation outcomes that opens new research opportunities. …”
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Research on Sustainable Building Development in the Context of Smart Cities: Based on CiteSpace, VOSviewer, and Bibliometrix by Bola Chen, Xunrong Ye, Fuping Dai

“…However, existing reviews have predominantly concentrated on the development of smart cities, often overlooking the interdisciplinary complexities associated with integrating smart city technologies and sustainable building practices. …”
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Exohedral Adsorption of N-(4-Methoxybenzylidene) Isonicotinohydrazone Molecule onto X12N12 Nanocages (where X=B and Al) and the Effect on Its NLO Properties by DFT and TD-DFT by Charly Tedjeuguim Tsapi, Stanley Numbonui Tasheh, Nyiang Kennet Nkungli, Aymard Didier Tamafo Fouegue, Caryne Isabelle Lekeufack Alongamo, Julius Numbonui Ghogomu

“…Exohedral adsorption on the nanocages reduces the band gap, which ranges between 2.851 eV and 6.748 eV, according to density of state (DOS) diagrams. …”
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Seismic isolation for existing structures: a review of retrofitting techniques, case studies, and trends by Wahab Abdul Ghafar, Tao Zhong, Zhengcong Lai, Zhang Pingle, Yang Yang, Md Mehedi Hasan

“…This synthesis aims to bridge the gap between theoretical advancements and practical applications, thereby offering valuable insights into enhancing the seismic resilience of existing built environments.…”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…To tackle the persistent data gaps in the monitoring system of adjustable wind turbine foundations, this study introduces a frequency-space-time domain attention network (FST-ATTNet). …”
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Unexpected Zoonotic and Hybrid Schistosome Egg Excretion Patterns, Malawi, 2024 by Angus M. O’Ferrall, Sekeleghe A. Kayuni, Lucas J. Cunningham, Peter Makaula, John Archer, Adam P. Roberts, Janelisa Musaya, J. Russell Stothard

“… Two exemplary cases of mixed urogenital and intestinal schistosomiasis in Malawi show hybridizations of Schistosoma mattheei with S. haematobium and S. mansoni, indicating newly emerging genetic diversity. Complex egg excretion patterns in feces expose current diagnostic gaps and alert to future sampling needs for effective surveillance of zoonotic schistosomiasis. …”
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Research on global ship cargo capacity prediction based on multi-source heterogeneous data by Shuhang Chen, Zhihuan Wang, Zhihuan Wang, Tianye Lu, Jiayang Zhu, Chunchang Zhang, Chunchang Zhang, Xiangming Zeng, Xiangming Zeng, Jiayi Wang, Zandi Shang, Zandi Shang

“…Maritime cargo capacity serves as a critical indicator of port efficiency and regional economic impact, yet reliable data remain constrained by operational and commercial complexities. This study addresses this gap by leveraging maritime big data to compare traditional empirical methods with machine learning approaches, integrating multi-source datasets (ship inbound/outbound records, vessel archives, and AIS data). …”
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The first interneuron of the mouse visual system is tailored to the natural environment through morphology and electrical coupling by Matteo Spinelli, Alejandra Acevedo Harnecker, Christoph T. Block, Lucia Lindenthal, Fabian Schuhmann, Martin Greschner, Ulrike Janssen-Bienhold, Karin Dedek, Christian Puller

“…Summary: The topographic complexity of the mouse retina has long been underestimated. …”
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Rat Models in Post-Traumatic Stress Disorder Research: Strengths, Limitations, and Implications for Translational Studies by Alexey Sarapultsev, Maria Komelkova, Oleg Lookin, Sergey Khatsko, Evgenii Gusev, Alexander Trofimov, Tursonjan Tokay, Desheng Hu

“…This review also discusses future directions in refining these models to improve their utility for translational research, aiming to bridge the gap between preclinical findings and clinical applications.…”
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The Proof Is in the Eating: Lessons Learnt from One Year of Generative AI Adoption in a Science-for-Policy Organisation by Bertrand De Longueville, Ignacio Sanchez, Snezha Kazakova, Stefano Luoni, Fabrizio Zaro, Kalliopi Daskalaki, Marco Inchingolo

“…This study addresses this gap and proposes the JRC GenAI Compass conceptual framework based on the lessons learnt from the JRC’s GenAI adoption journey. …”
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