AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…The investigation reveals compelling evidence for edge computing deployment via TinyML frameworks, addressing critical scalability challenges in commercial poultry environments characterized by acoustic complexity and computational constraints. Advanced applications spanning emotion recognition, disease detection, and behavioral phenotyping demonstrate unprecedented potential for real-time welfare assessment. …”
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Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction by Mitsuki Okayama, Tatsuhito Hasegawa

“…In experiments using a HuBERT-based classifier, we achieve around 40% recognition accuracy, underscoring the complexity of capturing subtle internal emotions. These findings highlight the importance of domain-specific datasets for human-machine interactions.…”
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Changes in participation for young women after breast cancer diagnosis and treatment: a qualitative study by Amy Roder McArthur, Susan Magasi, Tamara Hamlish, Cassandra A. Winters, Joy Hammel

“…Results Three cross-case themes were identified: (1) Nothing untouched: changes in self (2), Cancer is “not over”: the influences of social environment on survivorship, and (3) Gaps in services and supports: systems level influences on participation. …”
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Machine Learning for Chronic Kidney Disease Detection from Planar and SPECT Scintigraphy: A Scoping Review by Dunja Vrbaški, Boban Vesin, Katerina Mangaroska

“…This review synthesizes current trends, identifies methodological gaps, and highlights opportunities for developing reliable, interpretable ML tools to improve nuclear imaging-based diagnostics and support personalized management of CKD.…”
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An Overview of Experiments and Numerical Simulations on Airflow and Aerosols Deposition in Human Airways and the Role of Bioaerosol Motion in COVID-19 Transmission by Justus Kavita Mutuku, Wen-Che Hou, Wei-Hsin Chen

“…Abstract Determining the hotspots and deposition efficiencies (DEs) for aerosols in human airways is important for both research and medical purposes. The complexity of the human airways and the breathing process limit the application of in vitro measurements to only two consecutive branches of the human airway. …”
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A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector by Thuy Linh Jenny Phan, Ingolf Gehrhardt, David Heik, Fouad Bahrpeyma, Dirk Reichelt

“…With the increasing interest in process automation and the Internet of things since Industry 4.0 was introduced, such shop floors are growing in complexity. Every component of the production needs to be continuously monitored, which is the basis for predictive maintenance (PdM). …”
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293 The case for investigating the palliative needs of children in foster care: A call to action by Rebecca Singer Cohen, Rebecca Wright

“…Objectives/Goals: The purpose of this study was to document the publicly available literature, measurement tools, secondary data, and expert perspective on the intersectional care gaps and disparities of children with palliative needs in foster care. …”
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Leveraging generative AI to simulate mental healthcare access and utilization by Cortney VanHook, Daniel Abusuampeh, Jordan Pollard

“…Telehealth, flexible scheduling, and cultural competence are highlighted as critical for bridging access gaps and improving outcomes.Originality/valueThis work is among the first to synthesize leading access-to-care models, MBC, and generative AI to simulate and improve mental health care pathways. …”
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Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility by Oguz Kagan Isik, Ivan Petrunin, Antonios Tsourdos

“…This research offers a novel protection level (PL) estimation method and a framework tailored to GNSS integrity monitoring for UAM, which enhances the availability with narrower PL bound gaps without yielding higher integrity risks.…”
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Queer caregiving with older adults: A scoping review of the lived experiences of LGBTQ+ family and friend caregivers by Steven Hall, Natasha Hubbard Murdoch, Darien Dyck, Adam Stacey

“…Further research is needed to address the gaps in knowledge, provide effective interventions, and draft policies to support LGBTQ+ caregivers.…”
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PARADIGM SHIFT OF WOMEN'S PROPERTY RIGHTS IN INDIA: EVOLUTION, CHALLENGES, AND RECOMMENDATIONS by Priya Sepaha, Narayani Sepaha

“…It identifies persistent gaps in these rights, highlighting challenges arising from insufficient implementation, inadequate administrative support, gender inequality and deeply ingrained patriarchal mindsets. …”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…These findings address important metaheuristic optimization gaps highlighting the model’s potential for power theft detection.…”
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A Hybrid Graph-Based Risk Assessment and Attack Path Detection Model for IoT Systems by Ferhat Arat, Sedat Akleylek, Zaliha Yuce Tok

“…However, identifying vulnerable nodes within the system, individually assessing devices, and performing compact and efficient analyses of the entire topology remain underexplored areas. To address these gaps, this paper presents a quantitative assessment approach based on risk and vulnerability metrics. …”
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Cybersecurity in Smart Railways: Exploring risks, vulnerabilities and mitigation in the data communication services by Tiago Fernandes, João Paulo Magalhães, Wellington Alves

“…The results also pointed out several gaps related to this topic, namely the lack of standardization in cybersecurity practices and limited consideration of human factors that can impact cybersecurity.…”
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Grammatical error correction for low-resource languages: a review of challenges, strategies, computational and future directions by Syauqie Muhammad Marier, Xiangfan Chen, Linan Zhu, Xiangjie Kong

“…Despite notable progress, this review identifies gaps in evaluation methodologies and typology-specific solutions, calling for future innovations in multilingual modeling, dataset creation, and computationally efficient GEC systems tailored to the unique needs of low-resource languages.…”
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Toward a cleaner road: Environmental transformation in Hungary’s automotive sector by Maha AlSheikh

“…High implementation costs (–0.22 and –0.18) and the complexity of the supply chain (–0.15 and –0.17) have a negative impact, particularly for small and medium-sized enterprises. …”
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Mental health interventions in public health emergencies: The best and the rest in research, evidence, intervention, and policy responses by Sharon Abramowitz, Emma Louise Backe, Wilfred Gwaikolo, Susan Nkengasong, Dhruvi Banerjee, Sarah M. Murray

“…Background: The COVID-19 pandemic showed the significant impact of epidemics on mental health and illustrated gaps in public health and epidemic response systems’ ability to respond to mental health and psychosocial needs. …”
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The role and scope of gamification in education: A scientometric literature review by Federica Gini, Simone Bassanelli, Federico Bonetti, Reza Hadi Mogavi, Antonio Bucchiarione, Annapaola Marconi

“…This review offers a research agenda for future studies, calling for more rigorous, context-sensitive research that better addresses the complexity of gamified learning environments.…”
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Rootstock Breeding of Stone Fruits Under Modern Cultivation Regime: Current Status and Perspectives by Juanjuan Ling, Wenjian Yu, Li Yang, Junhuan Zhang, Fengchao Jiang, Meiling Zhang, Yuzhu Wang, Haoyuan Sun

“…While the majority of European apple orchards have transitioned to dwarfing rootstock systems, achieving substantial gains in productivity and profitability, stone fruit cultivation lags significantly due to the key gaps in prunus rootstock development, including genetic complexity, extended evaluation cycles, clonal propagation barriers, and limited research programs. …”
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A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions by Anna Vorontsova, Svitlana Tarasenko, Wojciech Duranowski, Arkadiusz Durasiewicz, John Soss, Artem Bilovol

“…One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. …”
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