Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation by Yu-An Huang, Yue-Chao Li, Zhu-Hong You, Lun Hu, Peng-Wei Hu, Lei Wang, Yuzhong Peng, Zhi-An Huang

“…The experiments have demonstrated that introducing pathway information significantly improves the learning of cell–cell graphs, with their resulting consensus graph enhancing the predictive performance of cell type prediction. …”
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Identification of Bacterial Lipopolysaccharide-Associated Genes and Molecular Subtypes in Autism Spectrum Disorder by He Y, He Y, Cheng B

“…This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms. A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. …”
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Precision livestock farming applied to the dairy sector: 50 years of history with a text mining and topic analysis approach by Lucia Trapanese, Giovanna Bifulco, Alfio Calanni Macchio, Francesca Aragona, Sissy Purrone, Giuseppe Campanile, Angela Salzano

“…A comprehensive search on the Scopus® bibliometric database was carried out using various related keywords such as: “precision livestock farming, sensors, machine learning and dairy”. The research identified 5362 papers published from January 1976 to April 2024 that, after filtering, became 1794 eligible records. …”
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Effectiveness of room-of-error interventions for healthcare providers: a systematic review by Su Jin Jung, Jiwon Kang, Youngjin Lee

“…The room-of-error education program serves as a solution, as it provides a case-based learning platform allowing nursing students to identify and resolve medical errors within a controlled environment systematically. …”
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Parenting after a history of childhood maltreatment: A scoping review and map of evidence in the perinatal period. by Catherine Chamberlain, Graham Gee, Stephen Harfield, Sandra Campbell, Sue Brennan, Yvonne Clark, Fiona Mensah, Kerry Arabena, Helen Herrman, Stephanie Brown, ‘Healing the Past by Nurturing the Future’ group

“…Theoretical constructs include: attachment, social learning, relational-developmental systems, family-systems and anger theories; 'hidden trauma', resilience, post-traumatic growth; and 'Child Sexual Assault Healing' and socioecological models. …”
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A comparative analysis and survival analysis of open versus minimally invasive radical antegrade modular pancreatosplenectomy for pancreatic cancer: a systematic review and meta-an... by Yating Zhou, Fei Xue

“…Further research is warranted, particularly regarding the learning curve of L-RAMPS and its broader applicability.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42024498383.…”
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Orthodontic Treatment and Maxillary Anterior Segmental Distraction Osteogenesis of a Subject with Williams–Beuren Syndrome and Isolated Cleft Palate: A Long-Term Follow-Up from the... by Tetsutaro Yamaguchi, Tatsuo Shirota, Mohamed Adel, Masahiro Takahashi, Shugo Haga, Ryo Nagahama, Misato Nakashima, Mayu Furuhata, Takaaki Kamatani, Koutaro Maki

“…WBS patients have characteristic skeletal features and dental anomalies accompanied by mental retardation, a friendly outgoing personality, and mild to moderate intellectual disability or learning problems. In this case report, we present the combined orthodontic and surgical treatment of a WBS patient with an isolated cleft palate through a long-term follow-up from the age of 5 to 24 years. …”
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Constructing Ubudehe? Farmers’ perceptions of drought impacts and resilience capacities in Bugesera, Rwanda by Lazare Nzeyimana, Åsa Danielsson, Veronica Brodén-Gyberg, Lotta Andersson

“…Furthermore, farmers identified collaborative opportunities as important for resilience capacity, including peer learning, and sharing best practices through knowledge exchange and on-field training. …”
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Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients by Ahmad Habib Fitriansyah, Ema Rachmawati, Risnandar Risnandar

“…This article presents a new approach using image processing and machine learning to identify potholes on roads. The proposed system uses shape features extracted from Pyramid Histogram of Oriented Gradients (PHOG) and a Support Vector Machine (SVM) with polynomial kernels for classification. …”
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Portable Handheld Slit-Lamp Based on a Smartphone Camera for Cataract Screening by Shenming Hu, Hong Wu, Xinze Luan, Zhuoshi Wang, Mary Adu, Xiaoting Wang, Chunhong Yan, Bo Li, Kewang Li, Ying Zou, Xiaoya Yu, Xiangdong He, Wei He

“…Furthermore, the images collected by the smartphone are uploaded to the deep learning cataract screening system, which can achieve real-time and effective screening of cataract. …”
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TEACHERS’ AND STUDENTS’ ATTITUDES TOWARDS THE USE OF ARTIFICIAL INTELLIGENCE: ALL-UKRAINIAN RESEARCH by Stanislav Dovgyi, Svitlana Babiichuk, Lidiia Davybida, Mariia Biletska

“…In contrast, a substantial portion of students’ view AI as a valuable tool for enhancing learning and promoting self-directed education. Additionally, the study identifies an inverse relationship between the duration of a teacher's professional experience and their frequency of AI use, suggesting that younger educators may be more inclined to adopt these technologies. …”
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High-intensive physical rehabilitation approach in children and adolescents with acquired brain injury during subacute phase (REHABILITY): a feasibility study protocol by Jan Willem Gorter, Christiaan Gmelig Meyling, Olaf Verschuren, Ingrid Rentinck, Irene van der Steen, Raoul Engelbert

“…Introduction While principles of neuroplasticity and motor learning emphasise the potential of high dosage of physical rehabilitation in children and adolescents with acquired brain injury (ABI) during the subacute phase, we lack empirical evidence to demonstrate its impact in terms of meaningful outcomes. …”
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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

“…Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. …”
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Distinct Urinary Metabolite Signatures Mirror In Vivo Oxidative Stress-Related Radiation Responses in Mice by Yaoxiang Li, Shivani Bansal, Baldev Singh, Meth M. Jayatilake, William Klotzbier, Marjan Boerma, Mi-Heon Lee, Jacob Hack, Keisuke S. Iwamoto, Dörthe Schaue, Amrita K. Cheema

“…By Day 30, the WBI HDR group showed persistent metabolic dysregulation, while the WBI LDR and PBI BM2.5 groups were similar to control mice. Machine learning models identified metabolites that were predictive of the type of radiation exposure with high accuracy, highlighting their potential use as biomarkers for radiation damage and oxidative stress.…”
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Моделі самоорганізації колективу однорідних безпілотних літальних апаратів при рішенні слабоформалізованих завдань... by А.В. Тристан, Д.І. Жуков

“…The practicality of this method lies in the fact that the artificial intelligence of the UAV will constantly self-learn and improve through the use of machine and deep learning. …”
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Digital competencies: perceptions of primary school teachers pursuing master’s degrees from eight African countries by Andresa Sartor Harada, Juliana Azevedo Gomes, Oscar Ulloa Guerra, Roberto Ruiz, Rubén Calderón

“…It is recommended that teacher training in digital competence is prepared using instructional design that promotes innovation and contact with real teaching-learning situations.…”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…The trained network can discover hidden data patterns in unseen data. The learning algorithm and seed selection play a vital role in the performance of the network. …”
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Education programmes on performance-based assessment for allied health and nursing clinical educators: A scoping review protocol [version 2; peer review: 1 approved, 2 approved wit... by Lucy Alpine, Emer Barrett, David Mockler, Anne O'Connor, Julie Broderick

“…Preparing healthcare professionals for PBA is considered essential to ensuring the quality of the assessment process in the clinical learning environment. A preliminary search of the literature indicated a paucity of research guiding the development of education programmes that support practice educators to understand and implement PBA. …”
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ML-Based Self-Optimization Handover Technique for Beyond 5G Mobile Network by Saddam Alraih, Rosdiadee Nordin, Asma Abu-Samah, Ibraheem Shayea, Nor Fadzilah Abdullah

“…The technique utilizes Machine Learning (ML), particularly leveraging the Regression Tree (RT) model. …”
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The effect of consuming bread contaminated with heavy metals on cardiovascular disease and calculating its risk assessment by Kambiz Ahmadi Angali, Majid Farhadi, Abdolkazem Neisi, Bahman Cheraghian, Mehdi Ahmadi, Afshin Takdastan, Abdolah Dargahi

“…The association between CVD and HMs has been evaluated utilizing seven machine-learning techniques. The results showed that the effect coefficient (β) of bread consumption in the incidence of heart disease is 4.6908 × 10–02. …”
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