The impact of death and dying on the personhood of medical students : a systematic scoping review by Ho, Chong Yao, Kow, Cheryl Shumin, Chia, Joshua Chin Howe, Low, Jia Ying, Lai, Melvin Yong Hao, Lauw, Sarah-Kei, How, Ashley Ern Hui, Tan, Lorraine Hui En, Ngiam, Lisa Xin Ling, Chan, Natalie Pei Xin, Kuek, Joshua Tze Yin, Nur Haidah Ahmad Kamal, Chia, Jeng Long, Ahmad Hanifah Marican Abdurrahman, Chiam, Min, Ong, Yun Ting, Chin, Annelissa Mien Chew, Toh, Ying Pin, Mason, Stephen, Krishna, Lalit Kumar Radha

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The IDentif.AI-x pandemic readiness platform: rapid prioritization of optimized COVID-19 combination therapy regimens by Blasiak, Agata, Truong, Anh T. L., Remus, Alexandria, Hooi, Lissa, Seah, Shirley Gek Kheng, Wang, Peter, Chye, De Hoe, Lim, Angeline Pei Chiew, Ng, Kim Tien, Teo, Swee Teng, Tan, Yee-Joo, Allen, David Michael, Chai, Louis Yi Ann, Chng, Wee Joo, Lin, Raymond T. P., Lye, David C., Wong, John Eu-Li, Tan, Gladys Gek-Yen, Chan, Conrad En Zuo, Chow, Edward Kai-Hua, Ho, Dean

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STRATEGIES for BIM Implementation in the CONSTRUCTION INDUSTRY / by Nur Emma Mustaffa, editor 218491, Aimi Sara Ismail, 1992-, editor 633480, Ahmad Faiz Azizi Ahmad Fauzi, contributor 655659, Aimi Sara Ismail, 1992-, contributor 633480, Aina Qistina Khazli, contributor 655660, Ann Jillian Pohan, contributor 655669, Farah Azwanee Aminuddin, contributor 655661, Fatin Natashya Nor Azam, contributor 655662, Fuziah Ismail, contributor 415592, Hamizah Liyana Tajul Ariffin, contributor 272405, Kerk, Yee Wen, contributor 655663, Khairusy Syakirin Has-Yun Hashim, contributor 349783, Kherun Nita Ali, contributor 270710, Maisarah Ali, contributor 655664, Mohamad Shaiful Hisham Zulhizam, contributor 655665, Muhammad Hadi Mustafa, contributor 655666, Nafisah Abdul Rahiman, contributor 377234, Naqiyatul Amirah Mohd. Said, contributor 655667, Norhazren Izatie Mohd., 1988-, contributor 536790, Nur Emma Mustaffa, contributor 218491, Nurshikin Mohamad Shukery, 1981-, contributor 614883, Nursyahirah Aliya Mohamad Misdon, contributor 655668, Shamsulhadi Bandi, 1981-, contributor 633461, Siti Nurhuda Abd. Wahid, contributor 219535

AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

“…Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. …”
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Backyard bowler, a short film. by Tan, Shi Yee Amanda., Md Haffidz, Mohammad Hanafi., Ong, Xi Wei Grace., Pu, Ziyang.

“…As he reviews his life, finding humor in his own pain and indiscretions, Tim ultimately finds the greatest hope.…”
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An assessment of solar power contribution to electric vehicle by Luo, Chuan.

“…Artificial Neural Network (ANN) is employed in the project to forecast the solar irradiation of the coming 24 hours. …”
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A comparative analysis of missing data imputation techniques on sedimentation data by Loh, Wing Son, Ling, Lloyd, Chin, Ren Jie, Lai, Sai Hin, Loo, Kar Kuan, Seah, Choon Sen

“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. …”
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Frail Line by Er, Kia Hui, Ong, Grace Xi Wei, Ho, Baofei, Tan, Jit Quan, Boithar, Faizal

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Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Home by Pei, Qianru

“…This project is a self-exploitary journey to find out where is home for me and people like me. …”
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Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

“…The study’s findings indicate that the SSA-ANN model performs better in predicting the dataset based on the evaluation criteria used.…”
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Real time analysis of social behavior from video and kinect recordings by Ramasamy, Pandi Ramesh

“…Finally,analysis will be performed using pattern recognition algorithms and machine learning classifiers to detect the emotion of the subject.In this project,machine learning classifiers such as K-nearest neighbors,Naive Bayes and C4.5 Decision tree learning has been used. The prime aim is to pin point the most seemly machine learning classifier for obtaining highest accuracy for classification.…”
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Low-cost machine learning prediction of excited state properties of iridium-centered phosphors by Terrones, Gianmarco G, Duan, Chenru, Nandy, Aditya, Kulik, Heather J

“…Using artificial neural network (ANN) models, we predict the mean emission energy of phosphorescence, the excited state lifetime, and the emission spectral integral for iridium complexes with accuracy competitive with or superseding that of TDDFT. …”
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Dynamics of housing markets by Tay, Darrell Jiajie

“…While reviewing previous works on housing bubbles, we find that housing bubbles are often poorly defined. …”
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Modeling the evolution of a primitive supply chain. by Tay, Darrell Jiajie.

“…By allowing the system to evolve in a way postulated by the Reformulated 2nd Law of Thermodynamics (Schneider and Kay, 1994), we inspected the end state energy of the primitive supply chain for different types of evolution. We find that contrary to mature supply chains, primitive supply chains is less affected by information sharing due to a high level of symmetric information shared. …”
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Prediction of rainfall-runoff processes through black-box techniques by Lee, Liang Cen

“…Levenberg-Marquardt Backpropagation (LMBP) was used as training algorithm in ANN model. In order to generate an optimum prediction, different numbers and combinations of data were used as inputs to maximize the efficiency of ANN model. …”
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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by Muhammad Zikri, Japri, Mohd Shahrir, Mohd Sani, Mohd Fadzil Faisae, Ab Rashid, Muriban, Jackly, Galang Sandy, Prayogo

“…These findings endorse the feasibility of applying ANN-GA in scenarios where precise noise prediction is crucial, particularly in relation to alternative fuels like POME.…”
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Stress faced by executives in Singapore. by Par, Hwee Fong., Tan, Chin Ying., Thong, Hwei Ling.

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Challenges faced by women in the corporate world by Ang, Hui Jia, Sim, Jasmine Mei Yao, Yeo, Siew Hong

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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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