A Narrative Review of Molecular, Immunohistochemical and In-Situ Techniques in Dermatopathology by J. A. Gabriel, N. Weerasinghe, P. Balachandran, R. Salih, G. E. Orchard

“…Immunohistochemistry and fluorescence in situ hybridization have proven invaluable in determining protein expression patterns and detecting chromosomal abnormalities, respectively, aiding in the characterization of skin lesions in conjunction with the molecular data. …”
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Analysis of Techniques and Quality of Translation of Surah Yasin into Rejang Language by Sakut Anshori, Muhammad Taqiyuddin, Rizki Indra Guci, Diana Hardiyanti

“…The researchers adopted a qualitative descriptive approach, utilizing document analysis and FGDs to gather data, and applied Miles and Huberman's interactive model for analysis. …”
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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…The study aims to apply unsupervised clustering algorithms to ECG data to detect latent risk profiles related to heart failure, based on distinctive ECG features. …”
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Birthing Ball Gymnastics Technique to Reduce Labor Morbidity and Mortality by Fijri Rachmawati

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Exploring 'spaces for community dialogue' among adults and children in collective identification, sharing and mitigation of HIV/AIDS concerns in Uganda by Saidah Mbooge Najjuma, David Kyaddondo

“… # Results Findings show that bazaars, mother or father talks, testing sites and regular spaces, banana beer parties, village meetings, school settings, and community events provided safe environments for interaction about HIV/AIDS concerns among children and adults. Children expressed their views through visual techniques with the support of adults. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

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Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

“…Moreover, the feature extraction process employs the VGG19 method to transform raw data into meaningful and informative features. The deep belief network (DBN) technique is used for the classification process. …”
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Mössbauer Spectroscopy as a Valuable Analysis Technique in Biomedical Research by Jasim Hassen, Jack Silver

“…Because of its sensitivity to nuclear hyperfine interactions, this technique yields incredibly accurate data regarding the electronic and magnetic states of nuclei, chemical bonds, and the local electronic environment structure around iron atoms. …”
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Medical Image Segmentation Based on Hybrid Deep Learning Techniques by Mohammed Abdulameer Aljanabi, Noor Abd Alrazak Shnain

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Guidance and Counselling and Learners’ Discipline in Kasese District: A Case of Selected Government-Aided Secondary Schools in Bukonzo County. by Kule, Samson

“…The study adopted mixed-methods research that incorporated elements of both Qualitative and Quantitative approaches to provide deeper and wider insights in the data evaluation. The study targeted 10 Government-aided Secondary Schools, 10 Head teachers, 10 Deputy Headteachers, 10 Senior Women teachers, 10 Career guidance and counselling heads of department and 140 Student leaders. …”
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Guidance and Counselling and Learners’ Discipline in Kasese District: A Case of Selected Government-Aided Secondary Schools in Bukonzo County. by Kule, Samson

“…The study adopted mixed-methods research that incorporated elements of both Qualitative and Quantitative approaches to provide deeper and wider insights into the data evaluation. The study targeted 10 Government-aided Secondary Schools, 10 Headteachers, 10 Deputy Headteachers, 10 Senior Women teachers, 10 Career guidance and counselling heads of the department and 140 Student leaders. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Machine learning (ML) and deep learning (DL) have aided the classification and collection of patterns in data, foremost in the growth of AI methods employed in numerous haematology fields. …”
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Machine Learning Aided Tapered Four-Port MIMO Antenna for V2X Communications With Enhanced Gain and Isolation by Nagesh Kallollu Narayanaswamy, Yazeed Alzahrani, Krishna Kanth Varma Penmatsa, Ashish Pandey, Ajay Kumar Dwivedi, Vivek Singh, Manoj Tolani

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Knowledge, attitude, and practice of HIV/AIDS transmission and prevention among barbing and beauty salon operators in Mogadishu, Somalia, 2024 by Saadaq Adan Hussein, Marian Muse Osman, Yahye Sheikh Abdulle, Abdirahman Aden Hussein, Abdullahi Ahmed Tahlil MD, Ahmed Mohamed Nur, Mohamed MAli Fuje, Mohamed Farah Yusuf, Rage Adem, Abdirahman Abdikadir Osman, Mohamed Abdurahman Hashi, Ayan Nor Ali, Abdullahi Ali Hayle, Mohamed Adan Mohamed, Omar Mohamed Mohamud, AbdulJalil Abdullahi Farah, Chukwuma David Umeokonkwo

“…Methods A cross-sectional study was conducted among 400 barbers and beauty salon operators in Districts Mogadishu selected using multistage sampling techniques from September 2023 to June 2024. A structured questionnaire was used to assess their knowledge, attitude and practice about HIV/AIDs transmission and prevention. …”
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Optimized dual-tree complex wavelet transform aided multimodal image fusion with adaptive weighted average fusion strategy by Jampani Ravi, R. Narmadha

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I Influence of Knowledge, Attitude and Behavior of First Aid in Accidents among Elementary School Students in Medan Tuntungan Subdistrict by Siska Mariany Ocfica Napitupulu, Nurliyati Nurliyati

“…This study was conducted in Medan Tuntungan Subdistrict, namely at Bharlind School Elementary School based on data that the school has coverage of the implementation of first aid at the Medan Tuntungan Health Center, Medan City. …”
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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology by Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou

“…By analyzing multi-dimensional, multiomic, spatial pathology, and radiomic data, these technologies enable a deeper understanding of the intricate molecular pathways, aiding in the identification of critical nodes within the tumor’s biology to optimize treatment selection. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

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A beginner’s approach to deep learning applied to VS and MD techniques by Stijn D’Hondt, José Oramas, Hans De Winter

“…This review focusses on a survey of recent applications of DL in molecular modelling techniques. The different sections are logically subdivided, based on where DL is integrated in the research: (1) for the improvement of VS workflows, (2) for the improvement of certain workflows in MD simulations, (3) for aiding in the calculations of interatomic forces, or (4) for data analysis of MD trajectories. …”
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Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment by Sophie Tascedda, Sophie Tascedda, Sophie Tascedda, Pierfrancesco Sarti, Pierfrancesco Sarti, Veronica Rivi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Mario Santagati, Filippo Caraci, Filippo Caraci, Johanna M. C. Blom, Johanna M. C. Blom

“…Each model was evaluated on accuracy, precision, and recall.ResultsThe AI models provide an objective basis for comparing patient data with reference populations. This approach enhances the ability to accurately distinguish between AD and MCI, offering more precise risk stratification and aiding in the development of personalized treatment strategies.ConclusionThe incorporation of AI methodologies such as GNNs and MLPs into clinical settings holds promise for enhancing the diagnosis and management of Alzheimer’s disease and mild cognitive impairment. …”
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