Qualitative evaluation of the implementation and national roll-out of the NHS App in England by Reidy, C, Papoutsi, C, KC, S, Gudgin, B, Laverty, AA, Greaves, F, Powell, J

“…NHS staff viewed the app as constituting core NHS infrastructure in the long term which made it appealing, even though initially there was less recognition of its immediate value. …”

A multi-omics strategy to understand PASC through the RECOVER cohorts: a paradigm for a systems biology approach to the study of chronic conditions by Sun, J, Aikawa, M, Ashktorab, H, Beckmann, ND, Enger, ML, Espinosa, JM, Gai, X, Horne, BD, Keim, P, Lasky-Su, J, Letts, R, Maier, CL, Mandal, M, Nichols, L, Roan, NR, Russell, MW, Rutter, J, Saade, GR, Sharma, K, Shiau, S, Thibodeau, SN, Yang, S, Miele, L, NIH Researching COVID to Enhance Recovery (RECOVER) Consortium

“…Post-Acute Sequelae of SARS-CoV-2 infection (PASC or “Long COVID”), includes numerous chronic conditions associated with widespread morbidity and rising healthcare costs. …”

Estimating risk factor time paths among people with Type 2 Diabetes and QALY gains from risk factor management by Gao, N, Dakin, HA, Holman, RR, Lim, L-L, Leal, J, Clarke, P

“…</p> <br> <p><strong>Discussion:</strong> Incorporating updated risk factor time path equations into diabetes simulation models could give more accurate predictions of long-term health, costs, QALYs and cost-effectiveness estimates, as well as a more precise understanding of the impact of diabetes on patients’ health, expenditure and quality of life.…”

Co-application of inorganic fertilizers with charcoal and sago bark ash to improve soil nitrogen availability, uptake, use efficiency, and dry matter production of sorghum cultivat... by Hamidi, Nur Hidayah, Ahmed, Osumanu Haruna, Omar, Latifah, Ch’ng, Huck Ywih, Johan, Prisca Divra, Paramisparam, Puvan, Musah, Adiza Alhassan, Jalloh, Mohamadu Boyie

“…Although the effects of co-applying charcoal and sago bark ash on soil total N were not glaring, this practice increased soil pH and total C, and reduced exchangeable acidity and Al3+. A long-term field study is recommended to confirm the effects of co-applying inorganic fertilizers with charcoal and sago bark ash on sorghum productivity, economic viability, and soil nutrient residual effects.…”
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Studies of seed-borne fungi of tropical pasture legume species by Nik, WZ, Parbery, DG

“…This medium was also effective in isolating pathogens which survived for long periods in seed, which suggests that such pathogens may share with storage fungi physiological characteristics which aid survival in seed. …”

The analysis of teaching quality evaluation for the college sports dance by Convolutional Neural Network model and Deep Learning by Guo, Shuqing, Yang, Xiaoming, Farizan, Noor Hamzani, Samsudin, Shamsulariffin

“…Further analysis on robustness, parameter sensitivity, multi-scenario adaptability, and long-term learning capabilities reveals the TQE model's strong resilience and stability in managing noisy data, varying parameter configurations, diverse teaching contexts, and extended time-series data. …”
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Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…The Q factor indicates the long-term viability or rapid decay. This research shows some of the preliminary findings and challenges associated with the analysis of the acoustic properties of selected gamelan instruments. …”
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Current evidence and future direction on evaluating the anticancer effects of curcumin, gingerols, and shogaols in cervical cancer: a systematic review by Rahim, Unwaniah Abdull, Mustapa, Marami, Mohamed Shakrin, Nik Noorul Shakira, Nurdin, Armania, Mohamad Taridi, Nursiati, Mohd Yusof, Yasmin Anum, Mad Nordin, Mariam Firdhaus, Che Roos, Nur Aishah

“…Additional factors to explore include long-term effects and susceptibility of chemoresistant cervical cancer cells towards curcumin, shogaols, and gingerols. © 2024 Abdull Rahim et al. …”
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A Sustainable Higher Education Ecosystem: A Development of Malaysian Transport Demand Management Framework (S/O 14195) by Abdul Hanan, Suhaila, Zainuddin, Nizamuddin, A. Jalil, Emy Ezura, Ahmad Mahyadin @ Mahidin, Fariza, Zakaria, Izatul Husna

“…Malaysian public universities/ institutions have made greening the campus a priority to achieve long-term sustainability. However, transportation is one of the most critical and challenging issues university campuses face as they transition to a more environmentally friendly and sustainable ecosystem. …”
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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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Self-learning shape recognition in medical images by Ma, Jingting

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Visualization of engine design, simulation and optimization by Wang, Yan Chao

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Smart material based on magnetorheological elastomer and its 3D printing by Bastola, Anil K.

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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

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Retinal nerve fiber layer damage assessment in glaucomatous eyes using retinal retardance measured by polarization-sensitive optical coherence tomography by Parakkel, Reshma Radhakrishnan, Wong, Damon, Li, Chi, Cheong, Jocelyn, Nongpiur, Monisha Esther, Chong, Rachel Shujuan, Aung, Tin, Schmetterer, Leopold, Liu, Xinyu, Chua, Jacqueline

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Time frequency analysis of functional MR images by Arun Kumar

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Development of mechanically robust self-cleaning coatings for large structure protection by Kumar, Divya

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How balanced are you? Bilingualism and the development of attentional control in English-Mandarin preschool children by Chan, Clara Gek Hoon

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Modern Game Testing : Learn how to test games like a pro, optimize testing effort, and skyrocket your QA career / by Finska, Nikolina, author 656259

“…By the end of this book, you'll have a clear understanding of the modern methodologies of QA testing for games, and be able to build efficient, reliable, and long-lasting QA teams. What you will learn Conduct compliance, regression, and localization tests, among others Build and optimize test sets for testing mobile games Find out how to set up an efficient bug flow Write optimal bug reports that differentiate between priority and severity Pick the optimal testing approach for each phase of game development Discover how to use equivalence partitioning, boundary analysis, and decision tables Master live ops QA and handle live bugs Who this book is for This book is for game testers, game producers, game developers, testing managers, and other QA professionals who want to learn more about modern approaches to QA and utilizing them to build more efficient and cost-effective QA teams and products. …”
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A study of atmospheric gradient for the analysis of weather events and prediction of rainfall in the tropical region by Naha Biswas, Anik

“…Therefore, it has limited suitability as a parameter for long-term weather prediction. Moreover, convective precipitation cannot be predicted effectively with precipitable water vapor. …”
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