Aksi Penyerangan Non-Player Character (NPC) Menggunakan Metode Naive Bayes pada Shooter Game by Edi Siswanto, Alfa Faridh Suni

“…Untuk mengatasi masalah tersebut banyak peneliti yang menggunakan teknik learning. Salah satunya menggunakan metode naïve bayes. …”
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Comparison of precision of a paperless electronic input method versus the conventional paper form in an andrology laboratory: a prospective study by Kevin K. W. Lam, Percy C. K. Tsang, Connie C. Y. Chan, Evans P. K. Ng, Tak-Ming Cheung, Raymond H. W. Li, Ernest H. Y. Ng, William S. B. Yeung

“…Phase I was the initial learning period. The overall rate of transcription error of the paper form was 0.07%, whereas that of the paperless system was 0.17%. …”
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Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center by Olivier Hugli, Jean-Yves Meuwly, Noémie Boillat-Blanco, Pierre-Nicolas Carron, Siméon Schaad, Thomas Brahier, Mary-Anne Hartley, Jean-Baptiste Cordonnier, Luca Bosso, Tanguy Espejo, Olivier Pantet

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Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. by Christine Mary Hallinan, Sedigheh Khademi Habibabadi, Mike Conway, Yvonne Ann Bonomo

“…It also demonstrates the need for the development of a systematic approach for evaluating the quality of social media studies and highlights the utility of automatic processing and computational methods (machine learning technologies) for large social media datasets. …”
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Screening of necroptosis-related genes and evaluating the prognostic capacity, clinical value, and the effect of their copy number variations in acute myeloid leukemia by Dake Wen, Ru Yan, Lin Zhang, Haoyang Zhang, Xuyang Chen, Jian Zhou

“…Methods Necroptosis-related differentially expressed genes (NRDEGs) were identified after intersecting differentially expressed genes (DEGs) from the Gene Expression Omnibus(GEO) database with NRGs from GeneCards, the Molecular Signatures Database (MSigDB) and literatures. Machine learning was applied to obtain hub-NRDEGs. The expression levels of the hub-NRDEGs were validated in vitro. …”
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PENGEMBANGAN E-MODUL BERBASIS WEB SEBAGAI BAHAN AJAR FISIKA PADA MATERI GELOMBANG BUNYI DI SMA by Miya Novitasari, Connie Connie, Eko Risdianto

“…At the design stage consists of choosing learning media, choosing the format of teaching materials, and the initial design of electronic teaching materials. …”
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Toward super-clean bearing steel by a novel physical-data integrated design strategy by Jian Guan, Guolei Liu, Wenguang Hu, Hongwei Liu, Paixian Fu, Yanfei Cao, Dong-Rong Liu, Dianzhong Li

“…To address this issue, a physical-data integrated design strategy was developed to optimize vacuum arc remelting (VAR) parameters, combining numerical simulation, machine learning (ML), and experimental validation. Initially, a multi-phase, multi-physics coupled model was developed to predict the movement and distribution of inclusions during the VAR process. …”
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Understanding the Functional Plasticity in Neural Networks of the Basal Ganglia in Cocaine Use Disorder: A Role for Allosteric Receptor-Receptor Interactions in A2A-D2 Heterorecept... by Dasiel O. Borroto-Escuela, Karolina Wydra, Julia Pintsuk, Manuel Narvaez, Fidel Corrales, Magdalena Zaniewska, Luigi F. Agnati, Rafael Franco, Sergio Tanganelli, Luca Ferraro, Malgorzata Filip, Kjell Fuxe

“…Our hypothesis is that allosteric receptor-receptor interactions in homo- and heteroreceptor complexes may form the molecular basis of learning and memory. This principle is illustrated by showing how cocaine abuse can alter the adenosine A2AR-dopamine D2R heterocomplexes and their receptor-receptor interactions and hereby induce neural plasticity in the basal ganglia. …”
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Phytocompounds from Indonesia Medicinal Herbs as Potential Apelin Receptor Agonist for Heart Failure Therapy: An In-silico Approach by Muhamad Rizqy Fadhillah, Wawaimuli Arozal, Muhammad Habiburrahman, Somasundaram Arumugam, Heri Wibowo, Suci Widya Primadhani, Aryo Tedjo, Surya Dwira, Nurul Gusti Khatimah

“…This study investigates bioactive phytochemicals from ten Indonesian medicinal herbs using computer-aided drug design (CADD) to predict ligand-receptor interactions via molecular docking and bioactivity prediction through machine learning. The selected herbs include Andrographis paniculata, Centella asiatica, Zingiber officinale, Curcuma longa, Curcuma domestica, Morinda citrifolia, Guazuma ulmifolia, Orthosiphon stamineus, Moringa oleifera, and Garcinia mangostana. …”
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Clinical anxiety among a sample of dental students in South Sinai by Christine Raouf George Mikhail, Mai Hamdy Ragab, Yousra Ahmed, Eman D. El Desouky, Fatma E. A. Hassanein, Mohamed Bekhit, Marwa Hassan Mostafa

“…Abstract Background Anxiety may be induced in the dental clinics, which is an essential learning environment for undergraduate dental students. …”
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Game Edukasi Pengenalan Sistem Isyarat Bahasa Indonesia (SIBI) Menggunakan Myo Armband pada Arsitektur Client Server by Rizky Yuniar Hakkun, M. Rizky, Buchori Rafsanjani

“…The current SIBI introduction and learning application is an application tied to the platform. …”
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Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study by Sandie Cabon, Sarra Brihi, Riadh Fezzani, Morgane Pierre-Jean, Marc Cuggia, Guillaume Bouzillé

“…MethodsThe first step relied on designing a predictive model based on clinical data (ie, risk factors identified in the literature) extracted from the clinical data warehouse of the Rennes Hospital and machine learning algorithms (logistic regression, random forest, and support vector machine). …”
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Factors Influencing Informed Consent Preferences in Digital Health Research: Survey Study of Prospective Participants by Brian J McInnis, Ramona Pindus, Daniah Kareem, Daniela G Vital, Eric B Hekler, Camille Nebeker

“…Other factors to consider relate to learning preferences and literacy needs of people recruited to participate in research, as these factors can influence understanding of consent communications. …”
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DIDADTIC TOOLS FOR THE STUDENTS’ ALGORITHMIC THINKING DEVELOPMENT by T. P. Pushkaryeva, T. A. Stepanova, V. V. Kalitina

“…Using of kinesthetic training simulators in educational process provide the effective development of algorithmic style of thinking and increase the level of understanding and learning of educational material on algorithms and programming.Scientific novelty. …”
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Examining the integration of refugees into the national health system in Uganda: an analysis using the policy triangle framework by Henry Komakech, Shatha Elnakib, Lama Bou Karroum, Evelyn Nyachwo, Winnie Adoch, Sarah Sali, Godfrey Goddie Okeny, Christopher Garimoi Orach

“…Results Uganda’s experience with the integration of refugee’s dates to 1999 when the country first implemented the Self-reliance strategy. Since then, policy learning and evolution have taken place, with policies around integration evolving and improving over time, moving the country towards more effective implementation of integrated health services. …”
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Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer by Nicolas Captier, Marvin Lerousseau, Fanny Orlhac, Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Erwin Woff, Sarah Lagha, Paulette Salamoun Feghali, Christine Lonjou, Clément Beaulaton, Andrei Zinovyev, Hélène Salmon, Thomas Walter, Irène Buvat, Nicolas Girard, Emmanuel Barillot

“…In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information. …”
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Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma by Haoyi Li, Mingming Xiong, Ming Li, Caixia Sun, Dao Zheng, Leilei Yuan, Qian Chen, Song Lin, Zhenyu Liu, Xiaohui Ren

“…For each patient, a total of 1218 radiomic features were extracted from prebiopsy T1 contrast‐enhanced MR images. Multiple machine‐learning algorithms were utilized for feature selection and classification to build a radiomic signature. …”
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Informatics strategies for early detection and risk mitigation in pancreatic cancer patients by Di Jin, Najeeb Ullah Khan, Wei Gu, Huijun Lei, Ajay Goel, Tianhui Chen

“…AI-driven approaches, such as those employed in Project Felix and CancerSEEK, have been highlighted for their potential to enhance early detection through deep learning and biomarker discovery. This review underscores the importance of universal genetic testing and the integration of AI with traditional diagnostic methods to improve outcomes in high-risk individuals. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…ANNS are inspired by the neural architecture of human brain capable of learning and recognizing patterns in unchartered data after trained examples, on the other hand GAs come from fundamental principles underlying natural selection perform optimization process based-on evolutionary methods which includes fitness evaluation, comparison, selection, crossover, and mutation. …”
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Analyzing special needs reports for children: sociodemographic trends, diagnoses, and support areas over five years (2019–2024) by Semih Canpolat, Mehmet Emin Parlak, Esra Kurt Canpolat, Erdogan Oz

“…When the areas of Specific Learning Disabilities (SLD) were analyzed, it was determined that the highest rate was in the area of rehabilitation/early support (intervention) requirement to support cognitive functions with 43.1%. …”
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