The Research Trends and the Effectiveness of Smart Learning by Ilkyu Ha, Chonggun Kim

“…In this study, research documents about smart learning from 2007 have been treated based on 5 major searching sites; we investigate the research trends of smart learning of education. …”
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Endovascular technique simulator for Neuroradiology learning by João Renato Figueiredo SOUZA, Edgar Marçal de BARROS FILHO, Carlos Eduardo Barros JUCÁ, Juliana Paiva Marques Lima ROLIM

“…Cerebrovascular diseases are treated by intracranial endovascular interventions employing minimally invasive intravascular techniques, such as neuroimaging. …”
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Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning by Yutong Li, Ling Zuo, Xingyu Song, Yuyang Huang, Ke Zou, Xuan Dong, Hongwei Liu

“…An integrated machine learning system was constructed to build the angiogenesis-related gene signatures (ARGS). …”
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Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy by Young Kwang Chae, Emma Yu, Na Hyun Kim, Min Jeong Kim, Leeseul Kim, Hyung-Gyo Cho, Yeonggyeong Park, Yoonhee Choi, Seung Pyo Daniel Hong

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Behavioural activation in nursing homes to treat depression (BAN-Dep): study protocol for a pragmatic randomised controlled trial by Simon Gilbody, Christopher Etherton-Beer, Kathryn A Ellis, Leon Flicker, Diana Velasquez Reyes, Hema Patel, Nicola Lautenschlager, Andrew H Ford, Eleanor Curran, Rachael Kelly, Rhoda Lai, Terence Chong, David Ekers, Dina Lo Giudice, Angelita Martini, Osvaldo P Almeida

“…Several trials have demonstrated the effectiveness of behavioural therapies in treating depressive symptoms in older adults living in the community and in residential aged care. …”
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Experiences of a new work model among primary care staff when treating patients with hypertension – a qualitative study by Rebecka Quester, Per Hjerpe, Malin Östman, Susanne Andersson

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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning. by Aime Bienfait Igiraneza, Panagiota Zacharopoulou, Robert Hinch, Chris Wymant, Lucie Abeler-Dörner, John Frater, Christophe Fraser

“…The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnAb therapeutic benefits. Machine learning is a powerful approach for such prediction. …”
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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

“…Machine learning is a powerful technique for analysing datasets and making data-driven recommendations. …”
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Machine learning fusion for glioma tumor detection by C. Gunasundari, K. Selva Bhuvaneswari

“…Abstract The early detection of brain tumors is very important for treating them and improving the quality of life for patients. …”
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The Application of Machine Learning on Antibody Discovery and Optimization by Jiayao Zheng, Yu Wang, Qianying Liang, Lun Cui, Liqun Wang

“…Traditional antibody discovery and optimization methods are time-consuming and resource-intensive, though they have successfully generated antibodies for diagnosing and treating diseases. The advancements in protein data, computational hardware, and machine learning (ML) models have the opportunity to disrupt antibody discovery and optimization research. …”
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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

“…Abstract Urinary tract infections (UTIs) are among the most common bacterial infections, yet they are both frequently misdiagnosed and inappropriately treated. We aimed to determine whether a machine learning model could accurately predict bacteriuria by using only the data that are readily available during the emergency department (ED) patient encounter. …”
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Activity-based contracting for optimization of the mass distribution of insecticide-treated nets in the Democratic Republic of Congo: pilot implementation in Kwilu province by Losimba Likwela J, Kalonji Ntumba A, Ndolerire Isingoma C, Mukomena Sompwe E, Tsasa Mbuku E, Mbuse Angembo F, Mbuyu Lukunde E, Lukanu Ngwala P., N.’siala Kumbi A, Panou I, Masoswa L, Mashako P, Kanku‑Ka‑Lukusa P, Kulimushi Ndahambara G, Luntadila Kiamenga M, Minuku Kinzonzi F, Ngoma Kintaudi L, Wierzynska A, Erskine M

“…Abstract Background Promoting the use of insecticide-treated mosquito nets (ITNs) is one of the main strategies for reducing malaria-related morbidity. …”
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URDU-RELIGIOUS TOLERANCE IN PAKISTAN AND THE EFFORTS OF THE LEARNED by Ghazanfar Imran, Fakhar Deen

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TEACHING-LEARNING AND ASSESSMENT PLAN FOR CHILDREN WITH AUTISM by Nutan Pandey

“…They need specific curriculum, teaching learning strategies based on their paucity and specific assessment method hitting to know whether are they able to run their lives, are they able to learn basic skills which may help them.…”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Feature extraction has been extensively studied in the machine learning field as it plays a critical role in the success of various practical applications. …”
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Prediction of Corona-Virus Using Deep Learning by Laith Al-Ali

“…The data set is divided into 75% of the training data and 25% of the test data after applying deep learning algorithms. Python libraries such as pandas, NumPy, and matplotlib are also used in addition to sklearn and Keras. …”
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An undergraduate learning assistant perspective on career development by Paige Gruber, Jennifer McLean, Katriana Popichak

“…ABSTRACT Undergraduate learning assistant (ULA) programs are widely recognized for their positive impact on student engagement, academic performance, and classroom inclusion in large-enrollment STEM courses. …”
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Craniovertebral Junction Instability: Negotiating the Learning Curve by Amey P. Patankar, Shivani Chaudhary

“…We discuss in detail the technique and nuances of this procedure, and the difficulties faced and the lessons learned during the learning curve. The records of 131 operated patients were reviewed. …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…This study aims to design and implement an algorithm based on deep learning to classify ocular diseases with high precision. …”
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Electroacupuncture combined with cognitive rehabilitation outperforms cognitive rehabilitation alone in treating post-stroke cognitive impairment: a randomized controlled trial by Yisha Guo, Tingting Sun, Fengxi Qiu, Xueyi Li, Weiwei Cui, Zhenhua Liao, Jiajia Yao

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