The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting by Z Z Nxumalo, E M Irusen, B W Allwood, M Tadepalli, J Bassi, C F N Koegelenberg

“…Artificial intelligence (AI), using deep learning (DL) systems, can be utilised to detect radiological changes of various pulmonary diseases. …”
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Pendekatan Model ADDIE dan Framework MDA pada Gamifikasi Edukasi Pendidikan Seks Anak Usia Dini by Cynthia Hayat, Stefani Cancerita

“…The gamification approach is used in delivering information because it shows a positive graphic in motivating to improve a positive learning environment. The contribution of this study by developing gamification applications for sex education education is carried out using the ADDIE model combined with the approach to elements of the MDA framework (Mechanics, Dynamics and Aesthetics). …”
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Pembangunan Aplikasi Mobile Pengenalan Objek Untuk Pendidikan Anak Usia Dini by Muhammad Fadhlan Supriadi, Ema Rachmawati, Anditya Arifianto

“…We used MobileNet architecture as a pre-trained model that had previously been trained on COCO datasets, and implement transfer learning for 20 types of objects commonly found inside the house. …”
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Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses by Ying Xiong, Linpeng Yao, Jinglai Lin, Jiaxi Yao, Qi Bai, Yuan Huang, Xue Zhang, Risheng Huang, Run Wang, Kang Wang, Yu Qi, Pingyi Zhu, Haoran Wang, Li Liu, Jianjun Zhou, Jianming Guo, Feng Chen, Chenchen Dai, Shuo Wang

“…Here we show that the deep learning models can non-invasively predict the likelihood of malignant and aggressive pathology of a renal mass based on preoperative multi-phase CT images.…”
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Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease by María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez

“…This study aims to create a detailed dataset to build strong predictive models with various machine learning algorithms. An ensemble modeling approach was employed to screen the DrugBank database, aiming to repurpose approved medications as potential treatments for Parkinson’s disease (PD). …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…Abstract The Brawijaya University FILKOM Academic Handbook is an important academic information need, as well as learning support books such as Free e-Books for students. …”
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Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware by Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca

“…To address this, we describe a single-shot weight learning scheme to embed robust multi-timescale dynamics into attractor-based RSNNs, by exploiting the properties of high-dimensional distributed representations. …”
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Stress factors among physiotherapy students at a university in Gauteng, South Africa by Zander I. Collins, Chané Siepker, Kelebogile J. Ralehlaka, Boitshoko C. Molefe, Tiisetso C. Phala, Simphiwe A. Vilankulu, Makwena M. Sibuyi, Thembelihle S. Ntuli

“…Contribution: The study adds to the body of knowledge pertaining to the mental health of students at higher institutions of learning.…”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

“…Using these features, four machine learning (ML) algorithms were developed. The optimal model was visualized and clarified using SHapley Additive exPlanations (SHAP) and presented as a nomogram. …”
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From Disruption to Reconstruction: Implementing Peer Support in Homelessness During Times of Crisis for Health and Social Care Services by Mathieu Isabel, Daniel Turgeon, Émilie Lessard, Andreea-Cătălina Panaite, Gwenvaël Ballu, Odile-Anne Desroches, Ghislaine Rouly, Antoine Boivin

“…Results: Three main learning points are of interest regarding implementation: 1) crises can precipitate challenges but also particular opportunities for the implementation of peer support initiatives in homelessness; 2) even during a crisis, certain key steps cannot be skipped when the goal is a successful implementation; and 3) research can be an external asset for clinical teams as they struggle to deliver care during periods of crisis. …”
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Developing a medication-safety self-assessment tool for rural primary care units - a case from Finnish Lapland by Päivi Sova, Ercan Celikkayalar, Sami Sneck, Anna-Riia Holmström

“…The included 144 statements were divided into 12 thematic sub-groups: (1) Patient information, (2) Drug information, (3) Communication of drug orders and other drug information; (4) Drug labeling, packaging and nomenclature; (5) Drug storage and distribution, (6) Medication device acquisition and use, (7) Environmental factors, workflow and staffing patterns; (8) Staff competency and education, (9) Patient education, (10) Preventive risk management, 11. Learning from medication safety incidents, and 12. …”
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A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD by Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, Julie B. Schweitzer, Julie B. Schweitzer, Prerona Mukherjee, Prerona Mukherjee

“…We utilized a hierarchical clustering technique to mitigate these collinearity issues and implemented a non-parametric machine learning (ML) model to predict the significance of symptom relations over time. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Assessing the Impact of Traffic Emissions on Fine Particulate Matter and Carbon Monoxide Levels in Hanoi through COVID-19 Social Distancing Periods by Nhung H. Le, Bich-Thuy Ly, Phong K. Thai, Gia-Huy Pham, Ich-Hung Ngo, Van-Nguyet Do, Thuy T. Le, Luan V. Nhu, Ha Dang Son, Yen-Lien T. Nguyen, Duong H. Pham, Tuan V. Vu

“…To overcome this challenge, weather normalized concentrations of those pollutants were estimated using the random forest model, a machine learning technique. The normalized weather concentrations showed smaller reductions by 7–10% for PM2.5 and 5–11% for CO, indicating the presence of favorable weather conditions for better air quality during the social distancing period. …”
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DEVELOPMENT OF CLIP THINKING OF HIGHER EDUCATION STUDENTS IN INFORMATION ENVIRONMENT by Sergey Bushuyev, Halyna Korchova, Yurii Krasylnyk, Mykola Rudenko, Borys Kozyr

“….), ensuring an individual approach to the organization of educational and cognitive activities, taking into account the motives, needs and opportunities of higher education seekers, the variability of the selection of IT learning technologies and their combination. …”
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Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis by You Pu, Jin Yang, Lian Shui, Qianlong Tang, Xianqin Zhang, Guangguo Liu

“…Of these models, most were constructed based on logistic regression, while only two studies used machine learning methods. The area under the receiver operating characteristic curve (AUC) reported values for these models ranged from 0.57 to 0.909, with 13 studies having a combined AUC value of 0.78 (95% CI: 0.74-0.81). …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…For this purpose, we have developed a novel deep learning analysis framework, based on data-driven anomaly detection techniques. …”
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A Digital-based Talent Acquisition Framework for Start-ups: A Qualitative Multiple Case Study by Mohammad Hosein Kenarroodi, Hasan Boudlaie

“…The final stage of research coding identified ten key themes for talent acquisition in startups, including: taking an aggressive approach to talent acquisition, creating a strong employer brand, managing relationships with talents, identifying risks in talent selection, designing selection criteria and methods, determining selection quality, setting onboarding timelines, and developing learning methods and content for onboarding.     Conclusion Drawing from the identified themes, this study proposes three digitalization-driven strategies to enhance talent acquisition in startups: talent recruitment, talent selection, and onboarding processes. …”
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Budgetary Factors and the Quality of Education Service Delivery in Public Secondary Schools in Northern Division Kabale District. by Atwongyeire, Redeemer

“…Some respondents also showed that students have access to up-to-date textbooks and learning materials. Teachers have the necessary teaching aids and resources. …”
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Assessment of Teachers’ Turnover and its Impact on Academic Performance in Government Aided Secondary Schools of Kayonza Sub-County Kanungu District. by Biryomumeisho, Gideon

“…Respondents indicated that the frequent changes in teaching staff disrupt the continuity of learning, weaken teacher-student relationships, and ultimately hinder students’ academic progress. …”
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