A Review of Stall Detection in Subsonic Axial Compressors by Kellie N. Wilson, Golam Gause Jaman, Anish Thapa, Amirthavarshini Vivekananda, Mitchell Lowe, Zachary Grima, Marco P. Schoen

“…In addition, a forward-looking projection is presented that includes the use of machine learning algorithms to further the understanding and the capability of stall precursor detection.…”
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The Potential of Virtual Reality for Inducing Neuroplasticity in Children with Amblyopia by María B. Coco-Martin, David P. Piñero, Luis Leal-Vega, Carlos J. Hernández-Rodríguez, Joaquin Adiego, Ainhoa Molina-Martín, Dolores de Fez, Juan F. Arenillas

“…The use of VR for the visual rehabilitation in amblyopia has been investigated in the last years, with the potential of using serious games combining perceptual learning and dichoptic stimulation. This combination of technologies allows the clinician to measure, treat, and control changes in interocular suppression, which is one of the factors leading to cortical alterations in amblyopia. …”
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Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…A broad range of machine learning solutions remain unused within the context of nursing home palliative care. …”
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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. …”
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Inhibition of hippocampal interleukin-6 receptor-evoked signalling normalises long-term potentiation in dystrophin-deficient mdx mice by Kimberley A. Stephenson, Aaron Barron, Mark G. Rae, Dervla O'Malley

“…Dystrophin-expressing hippocampal neurons are key to cognitive functions such as emotions, learning and the consolidation of memories. In the context of disease-induced chronic inflammation, we have explored the role of the pleiotropic cytokine, interleukin (IL)-6 in hippocampal dysfunction using immunofluorescence, electrophysiology and metabolic measurements in dystrophic mdx mice. …”
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Exploring alternative preschool education methods in Georgia: Enhancing accessibility by N. Kitoshvili

“…These factors underscore the importance of sustained policy efforts to support comprehensive and effective early learning environments. The results underscore a compelling need for alternative education avenues in Georgia, particularly in regions facing infrastructural and geographical barriers similar to those experienced in other post-Soviet nations. …”
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Patients’ and physiotherapists’ perspectives on implementing a tailored stratified treatment approach for low back pain in Nigeria: a qualitative study by Kay Stevenson, Mishael Adje, Jost Steinhäuser, Chidozie Emmanuel Mbada, Sven Karstens

“…Seven key categories emerged: recognising the need for change, acceptance of innovation, resistance to change, adapting practice, patient’s learning journey, trusting the therapist and needing conviction. …”
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Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model by Wenwen Cheng, Chen Yu, Xiaohui Liu

“…We aimed to build better machine learning models and provide useful tools to provide better guidance and assistance for COPD patients' treatment and care.MethodsA total of 863 COPD patients from a local general hospital were collected and screened, and they were separated into two groups: cognitive impairment (356 patients) and cognitively normal (507 patients). …”
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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

“…Traditional voice conversion techniques primarily emphasize singer similarity, often leading to robotic-sounding singing voices. Deep learning-based singing voice conversion techniques, however, focus on disentangling singer-dependent and singer-independent features. …”
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Pre-Service Teachers’ Perspectives on the Implementation of Song-Based Instruction in Teaching English to Early Childhood Learners by Danti Pudjiati, Andi Musda Mappapoleonro, Hisham Abd. Malik, Tira Nur Fitria

“…They agree that songs make learning enjoyable and improve auditory skills, aligning with existing literature on the benefits of song-based education. …”
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Features of the Processes of Digitalization of Small and Medium-Sized Businesses in Ukraine by Reshetnyak Olena I., Bielikova Nadiia V., Yurchenko Oleksiy K., Kalashnikova Kateryna Yu.

“…Recommendations on digitalization of SMEs in Ukraine in conditions of limited resources are provided: introduction of the «learning culture» in SMEs, which is important for the use of digital technologies; creating a roadmap for achieving the business goals of SMEs’ digitalization, setting clear priorities for digital transformations depending on the cruciality of the business problems they solve; establishing cooperation with companies that can be useful for ensuring effective digitalization processes, researching the experience of other companies; search for opportunities to receive grants and financial support from government programs and international organizations aimed at supporting the digitalization of SMEs; the use of agile approaches in the implementation of digital solutions to ensure constant readiness for rapid changes and adaptation to new market conditions.…”
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БЕЗПЕРЕРВНИЙ ПРОФЕСІЙНИЙ РОЗВИТОК – СТАВЛЕННЯ ЛІКАРІВ by В. Л. Михайленко, А. І. Літвак

“…Doctors demonstrated their attitude as active and independent specialists, they prefer scientific and educational activities conducted in the places where they live (62.6%), as well as distance learning (45.8%), cycles of thematic improvement (62.1%). …”
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Stakeholder involvement in the curricula modernisation through a virtual foresight laboratory by E. K. Nauryzbayeva, V. V. Bezhina, T. R. Pchelkina, K. S. Brimzhanova, S. S. Brimzhanova

“…The highlights include the following results of the study: the FG1 participants  indicated  their synergy in foreseeing the future through mapping, trends design and discussions  in VFL; there was the increase of the learning gain among FG1 stakeholders in terms of the structure of the curriculum, educational programme, types of competencies,  foresight research; the personal growth of stakeholder  involvement  into curricula modernisation  was directly observed, as their gained experience was reflected in further modernisation  of educational programmes  of other majors.Scientific novelty. …”
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A scoping review of medication self-management intervention tools to support persons with traumatic spinal cord injury. by Lauren Cadel, Stephanie R Cimino, Glyneva Bradley-Ridout, Sander L Hitzig, Tanya L Packer, Lisa M McCarthy, Tejal Patel, Aisha K Lofters, Shoshana Hahn-Goldberg, Chester H Ho, Sara J T Guilcher

“…There was minimal overlap in the outcomes measured across the studies, but learning outcomes (e.g., perceived knowledge and confidence), behavioural outcomes (e.g., management strategies, data entry), and clinical outcomes (e.g., number of medications, pain scores, functional outcomes) were evaluated. …”
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Vers une cartographie systématique en diachronie de la recherche en prononciation de l’anglais L2 by Saandia Ali, Marie Garnier, Linda Terrier

“…These articles come from 35 major journals in the fields of phonology/phonetics (PHON), second language acquisition (SLA), and second language learning and teaching (SLLT). These sources are international journals published online and in English. …”
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Discovery of new topological insulators and semimetals using deep generative models by Tao Hong, Taikang Chen, Dalong Jin, Yu Zhu, Heng Gao, Kun Zhao, Tongyi Zhang, Wei Ren, Guixin Cao

“…In this study, we propose an efficient inverse design method CTMT (CTMT: CDVAE, Topogivity, interatomic potentials (IAPs) as realized in M3GNet, and TQC) utilizing deep generative machine learning models to discover novel topological insulators and semimetals in a much-fast and low-cost manner. …”
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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…There were still limitations for anonymity, scrambling, or access control-based traditional privacy desensitization measures, cryptography-based measures, and federated learning-based measures, while privacy computing theory provided a computational and information system framework for full-lifecycle protection, which needed to be combined with different application scenarios to implement full-lifecycle privacy information protection.…”
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Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill by Rongrong Peng, Changfen Gong, Shuai Zhao

“…However, most of the existing deep learning (DL) based methods exploit only single sensor information and Euclidean space data, which results in incomplete information contained in the features extracted by in-depth networks. …”
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Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data by Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong

“…In addition, graph Laplacian is also introduced into our method to better learn the topological structure of data by preserving the local geometric information. …”
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Eco-innovative approaches for recycling non-polyester/cotton blended textiles by Chandra Manivannan Arun, Logeshwaran Panneerselvan, Gunasekhar Nachimuthu, Meredith Conaty, Thava Palanisami

“…In the sorting stage, integrating artificial intelligence (AI) and machine learning (ML) enhances efficiency and accuracy. Advanced methods, such as green chemistry, mechanical recycling, and enzymatic treatments, have proven effective for most blended textiles; however, fibers, such as polypropylene, still lack defined closed-loop recycling routes. …”
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