Current trends in additive manufacturing of selective laser melting for biomedical implant applications by Nazari, Aufa Adlia, Hassan, Mohamad Zaki, Ismail, Zarini, Ramlie, Faizir, Jamaludin, Khairur Rijal, Md. Daud, Mohd. Yusof, Ren, James

“…The current review article also highlighted the various SLM parameters, like mechanical, chemical, and biological modifications, that might enhance the implant. …”
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Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis by Irfan Bahiuddin, Irfan Bahiuddin, Mazlan, Saiful Amri, Fitrian Imaduddin, Fitrian Imaduddin, Shapiai, Mohd. Ibrahim, Ubaidillah, Ubaidillah, Dhani Avianto Sugeng, Dhani Avianto Sugeng

“…Simpler algorithms, such as feedforward neural networks and support vector regression, are usually sufficient for cases with narrow range variability and small datasets. Advanced methods, like hybrid approaches combining metaheuristic optimization with machine learning, are suitable for complex scenarios with multiple variables and large datasets. …”
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Students' perception of the enforcement model approach towards radicalism movement in Malaysia higher learning institutions (HLI's) by Ismail, Alice Sabrina, Muhammad Mujtaba Habib, Muhammad Mujtaba Habib

“…Therefore, this study’s main objective is to develop a resilience model in preventing radicalism in a more student-friendly scenario that does not constrain students’ rights in Malaysia, like the Universities and University Colleges Act (AUKU), by benchmarking the good practices in Indonesia’s Higher Learning Institution (HLI’s) using the Altbach’s theoretical framework. …”
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Attestation of Improved SimBlock Node Churn Simulation by Chin, Zi Hau, Baskaran, Vishnu Monn, Abaei, Golnoush, Tan, Ian Kim Teck, Yap, Timothy Tzen Vun

“…The difficulties of performing research on the actual blockchain network, particularly on a live decentralized global network like Bitcoin, pose challenges that good simulators can overcome. …”
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Body Measurement Using 3D Handheld Scanner by Salleh, Mohamed Najib, Mad Lazim, Halim, Lamsali, Hendrik

“…The current practice of obtaining the measurement is by traditional methods using tools like measuring tape. However, this method is considered to be time-consuming and usually not accurate. …”
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HDSKG: Harvesting domain specific knowledge graph from content of webpages by Zhao, Xuejiao, Xing, Zhenchang, Kabir, Muhammad Ashad, Sawada, Naoya, Li, Jing, Lin, Shang-Wei

“…Knowledge graph is useful for many different domains like search result ranking, recommendation, exploratory search, etc. …”
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Effects of "Thursdays at the Museum" at the Montreal Museum of Fine Arts on the mental and physical health of older community dwellers : the art-health randomized clinical trial pr... by Beauchet, Olivier, Cooper-Brown, Liam, Hayashi, Yoko, Galery, Kevin, Vilcocq, Christine, Bastien, Thomas

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The influence of soil age on ecosystem structure and function across biomes by Delgado-Baquerizo, Manuel, Reich, Peter B., Bardgett, Richard D., Eldridge, David J., Lambers, Hans, Wardle, David A., Reed, Sasha C., Plaza, César, Png, Kenny Guochen, Neuhauser, Sigrid, Berhe, Asmeret Asefaw, Hart, Stephen C., Hu, Hang-Wei, He, Ji-Zheng, Bastida, Felipe, Abades, Sebastián, Alfaro, Fernando D., Cutler, Nick A., Gallardo, Antonio, García-Velázquez, Laura, Hayes, Patrick E., Hseu, Zeng-Yei, Pérez, Cecilia A., Santos, Fernanda, Siebe, Christina, Trivedi, Pankaj, Sullivan, Benjamin W., Weber-Grullon, Luis, Williams, Mark A., Fierer, Noah

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A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

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Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data by Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola

“…Insights from our approach also indicated the importance of two genes (ATRX and TSPAN2) as possible biomarkers for early differentiation of ultra-high risk, bipolar and healthy individuals. These genes are linked to cognitive ability and impulsive behaviour. …”
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Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure by Teh, Wen Lin, Abdin, Edimansyah, P. V., Asharani, Siva Kumar, Fiona Devi, Roystonn, Kumarasan, Wang, Peizhi, Shafie, Saleha, Chang, Sherilyn, Jeyagurunathan, Anitha, Vaingankar, Janhavi Ajit, Sum, Chee Fang, Lee, Eng Sing, van Dam, Rob M., Subramaniam, Mythily

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Exciton polariton interactions in Van der Waals superlattices at room temperature by Zhao, Jiaxin, Fieramosca, Antonio, Dini, Kevin, Bao, Ruiqi, Du, Wei, Su, Rui, Luo, Yuan, Zhao, Weijie, Sanvitto, Daniele, Liew, Timothy Chi Hin, Xiong, Qihua

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Chronic allergic asthma induces T-cell exhaustion and impairs virus clearance in mice by Ahn, So Yeon, Lee, Jueun, Lee, Dong-Ha, Ho, Thi Len, Le, Chau Thuy Tien, Ko, Eun-Ju

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Identifying primary care clinicians' preferences for, barriers to, and facilitators of information-seeking in clinical practice in Singapore: a qualitative study by Lee, Mauricette Moling, Tang, Wern Ee, Smith, Helen Elizabeth, Car, Lorainne Tudor

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Super enhancer acquisition drives expression of oncogenic PPP1R15B that regulates protein homeostasis in multiple myeloma by Xiong, Sinan, Zhou, Jianbiao, Tan, Tze King, Chung, Tae-Hoon, Tan, Tuan Zea, Toh, Sabrina Hui-Min, Tang, Nicole Xin Ning, Jia, Yunlu, See, Yi Xiang, Fullwood, Melissa Jane, Sanda, Takaomi, Chng, Wee-Joo

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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration by Car, Lorainne Tudor, Kyaw, Bhone Myint, Dunleavy, Gerard, Smart, Neil A., Semwal, Monika, Rotgans, Jerome Ingmar, Low-Beer, Naomi, Campbell, James

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Mastering Blockchain : Inner workings of blockchain, from cryptography and decentralized identities, to DeFi, NFTs and Web3 / by Bashir, Imran, author 396608

“…Throughout the book, you’ll explore blockchain solutions beyond cryptocurrencies, such as the IoT with blockchain, enterprise blockchains, and tokenization, and gain insight into the future scope of this fascinating and disruptive technology.By the end of this blockchain book, you will have gained a thorough comprehension of the various facets of blockchain and understand the potential of this technology in diverse real-world scenarios.What you will learnGrasp the mechanisms behind Bitcoin, Ethereum, and other cryptocurrenciesUnderstand cryptography and its usage in blockchainBecome familiar with the theoretical foundations of smart contracts and blockchain consensusDevelop DApps using Solidity, Remix, Truffle, and GanacheSolve issues relating to privacy, identity, scalability, and security in enterprise blockchainsDive into the architecture of Ethereum 2.0Delve into emerging trends like DeFi, NFTs, and MetaverseExplore various applications, research topics, and future directions of blockchain Who this book is for. …”
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Biogeochemical cycling and environmental footprints of peatland-derived organic carbon in the coastal ocean in Southeast Asia by Zhou, Yongli

“…Based on results from degradation experiments, we further infer that in total 70–80% of the terrigenous DOC is likely remineralized within the shelf and the remaining 20–30% is likely exported to the open Indian Ocean. …”
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Towards haptic intelligence in robots by learning from demonstration by Turlapati Sri Harsha

“…Application of this proposed method in refining and then detecting missing geometric features like holes, edges, slots in object scans is presented. …”
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Human learning principles inspired particle swarm optimization algorithms by Muhammad Rizwan Tanweer

“…Therefore, any optimization technique employing human-like learning strategies should prove to be more effective. …”
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