Leveraging gamification to enhance persuasive behaviour and streamline online product returns: an approach grounded in multiple case studies by Panda, Debadrita, Raut, Sachin Kumar, Rana, Sudhir, Shamsudin, Mad Nasir

“…In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. …”
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An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN) by Hussain, Muhammad Zunnurain, Mohd Hanapi, Zurina, Abdullah, Azizol, Hussin, Masnida, Ninggal, Mohd Izuan Hafez

“…Therefore, this may be considered more likely to withstand the attacks because of these security improvements. …”
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Impact of psychological capital on job satisfaction: moderating role of perceived organizational support and emotional intelligence by Yao, Guannan, Dato’mansor, Zuraina, Ghazali, Hazrina, Yan, Zhen

“…In this way, they are more likely to put in significant effort on behalf of the company. …”
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Structural insights into cold-active lipase from Glaciozyma antarctica PI12: AlphaFold2 prediction and molecular dynamics simulation by Matinja, Adamu Idris, Ahmad Kamarudin, Nor Hafizah, Leow, Adam Thean Chor, Oslan, Siti Nurbaya, Mohamad Ali, Mohd Shukuri

“…Using phylogenetic analysis, and advanced deep learning-based protein structure prediction tool Alphafold2, we identified an evolutionary processes in which a conserved cold-active-like motif is presence in a distinct subclade of the tree and further predicted and simulated the three-dimensional structure of a putative cold-active lipase with the cold active motif, Glalip03, from Glaciozyma antarctica PI12. …”

Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control by Kavousighahfarokhi, Arash, Mohd Radzi, Mohd Amran, Noorbakhsh, S. Mohammad, Khorshidi, Elahe, Hematzadeh Dastgerdi, Pedram, Karimi, Mojtaba, Torki Harchegani, Amir

“…However, nonlinear loads, like constant power loads (CPLs), can cause instability in DC-MGs and result in a voltage drop in the primary DC bus. …”

Hidden markov model for decision making among heterogeneous systems in intelligent building by Abba, Babakura

“…In order to improve the response time a machine learning algorithm like Hidden Markov Model (HMM) instead of the rule-based is used. …”
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The effects of CT-based attenuation correction on the accuracy of 99mtc SPECT/CT quantification by Vijayakumar, Shamalah S

“…To evaluate the quality of the images, important metrics like contrast, signal-to-noise ratio (SNR) and coefficient of variation (COV) were examined. …”
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Assessment of knowledge, attitude and practice towards athritis among nursing students in Universiti Sains Malaysia by Yunus, Nurmutiah Mohd

“…There were over a hundred different types of arthritis, including rheumatoid arthritis, osteoarthritis, and other forms of arthritis or related disorders like gout, lupus, scleroderma, and many others. This research is aimed to assess knowledge, attitude, and practice towards arthritis among nursing students in Universiti Sains Malaysia (USM). …”
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Assessment Of Knowledge, Attitude And Practices Towards Arthritis Among Nursing Students In Universiti Sains Malaysia by Yunus, Nurmutiah Mohd

“…There were over a hundred different types of arthritis, including rheumatoid arthritis, osteoarthritis, and other forms of arthritis or related disorders like gout, lupus, scleroderma, and many others. This research is aimed to assess knowledge, attitude, and practice towards arthritis among nursing students in Universiti Sains Malaysia (USM). …”
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A Review of Genetic Algorithm: Operations and Applications by Md Isa, Faizatulhaida, Ariffin, Wan Nor Munirah, Jusoh, Muhammad Shahar, Erni Puspanantasari Putri, Erni Puspanantasari Putri

“…However, the inherent complexity and diversity of problems necessitate versatile approaches like GA. The problem statement underscores the need to explore the underlying operations and applications of GA to provide a nuanced understanding of their capabilities and limitations. …”
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Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning by Nasirudin, Mohd Asrul, Md Fudzee, Mohd Farhan, Senan, Norhalina, Che Dalim, Che Samihah, Witarsyah, Deden, Erianda, Aldo

“…It uses computergenerated sensory inputs like visuals, sounds, and touch to enhance how we perceive the real world, providing a transformative impact on human sensory experiences. …”
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LoRa Microstrip Patch Antenna: A comprehensive review by S. Yahya, Muhammad, Soeung, Socheatra, Abdul Rahim, Sharul K, Musa, Umar, Ba Hashwan, Saeed S, Yunusa, Zainab, Hamzah, Shipun A

“…As the demand for energy-efficient standards like LoRa grows with the expanding IoT market, this research becomes increasingly relevant. …”
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Decoding Innocence: Advancing Forensic Facial Discrimination through Comparative Analysis of Conventional CNN and Advanced Architectures by Jamal Ahmed, Mirza, Abdullah, Nurul Azma

“…The research focuses on three core objectives introducing IFE for detailed face feature detection in DIF's child and adult image identification, implementing IFE with CNNs to enhance image classification, and conducting a thorough evaluation of the proposed technique's performance using key metrics like accuracy and balanced classification results and comparing the result with a basic CNN model’s performance. …”
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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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The Role of Emerging Technologies of Students' Academic Achievement at Politeknik Seberang Perai (PSP) by Omar, Nurul Ihsaniah, Ibrahim, Mohammad Noor

“…This essay explores how new technologies influence academic success, specifically examining elevated failure rates at Politeknik Seberang Perai (PSP) in Malaysia. Factors like insufficient information, slow progress, and inadequate time management are linked to these failure rates. …”
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A computational fluid dynamics analysis of cryo-CO2 flow and thermal behaviour in high-speed milling process by Nur Fatini, Mohamad Fauzee, Nurul Hayati, Abdul Halim, Zainoor Hailmee, Solihin, Izdihar, Tharazi, Irnie Azlin, Zakaria, Musfirah, Abdul Hadi

“…By multi-objective optimization, an optimum set of parameters was identified: flow rate = 13 L/min, D = 15 mm; ∅ = 1.3 mm and predicted to produce h at 77.23 W/m2 and Q at 264.45 W for maximum heat dissipation. …”
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