Quality of life and compliance with fluid restriction among hemodialysis patients in Hospital Universiti Sains Malaysia by Mohamad, Siti Aniza

“…As the increasing of hemodialysis patients over the years in Malaysia, it is crucial all hemodialysis patients to comply the treatment regimens of hemodialysis (diet, fluid restriction, medication) to stabilize their quality of life. …”
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Strategies to encourage women workers to sign up and remain in trade unions by Ismail, Fadillah, Abdul Kadir, Adibah, Mohamad Azmi, Nur Azia Hazida, Mohd Yusof, Halimah

“…Although trade unions have been in this country, but there have been a number of withdrawals of women’s membership in the past few years, from 2018 to 2021. The objective of the study is to discuss why women refuse to join trade unions, the reasons behind it, and how to encourage women to join and stay in trade unions. …”
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Teachers' and students' beliefs about translanguaging in higher education: a systematic review by Wang, Jia, Zaid, Yasmin Hanafi, Ibrahim, Noor Aireen, Haladin, Nur’ain Balqis

“…Background and Purpose: In recent years, there has been increased attention to translanguaging in educational research, particularly in higher education. …”
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Relationship between third molar impaction and extraction, and awareness about the associated potential risks by Hameed Alwan, Maryam, M. Zaki, Salim

“…Results: Third molar impaction was more common in individuals aged 19 to 21 years. A significant correlation was found between the age of onset of symptoms related to third molars and the occurrence of impaction (P=0.006, correlation coefficient=0.144). …”
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15th General Election: What are the Factors Determining the Electoral Results? by Mohd. Zain, Zawiyah, Ahmad, Zalinah, Othman, Zaheruddin, Ajis, Mohd Na'eim, Omar, Salmah

“…The 15th general election took place in the midst of political turmoil in Malaysia stemming from the previous 14th general election whereby within approximately four years, Malaysia had experienced three alternating governments. …”
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A New Framework on Success Factors of Social Media Applications Usage (S/O 14449) by Mohd Sappri, Mazlan, Abdul Hamid, Mohamad Shukri, Sulaiman, Nor Intan Saniah, Omar, Mohd Faizal

“…Social media application (SMA) shows several important functions that causing the increment of usage among mobile application or mobile app users, especially among 18 to 28 years-old user. This causing several developers to create their own SMA that have been targeted to mobile app users. …”
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Zakat Online Campaign Using Creative Animation on Social Media Networks: Youths Acceptance (S//O: 14591) by Mohd Suki, Norbayah, Mohd Suki, Norazah, Shokri, Muhammad Faiz Hussin

“…Data from Digital 2019 Global Digital Overview indicated that there are 25 million total number of active media users in Malaysia with the social media audience profiles consists of youth from the age of 18 to 34 years old using YouTube as the most active social media platform (Hootsuite & We Are Social (2019). …”
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Incremental or Radical Product Innovation: Overview of Food and Beverage Sector SMEs in Malaysia by Abu, Noor Hidayah, Mansor, Mohd Fitri, Ibrahim, Amlus

“…Most of the respondents that active in product innovation activities is medium size organization and the organization has been established more than ten years. Although they realized the importance of producing new product continually, but they still show a slightly lower level investment in R&D. …”
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An Improved Model Opportunity Recognition for Graduate Entrepreneur Opportunity Using Web Content Analytics (S/O 13798) by Abu Bakar, Muhamad Shahbani, Yasin, Azman, Ta'a, Azman, Hassan, Syahida

“…Research on models to support new product ideation for large firms and professionals are numerous over the years while the entrepreneurs are mostly neglected. …”
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The dietetic practice of prescribing amino acid-based formulas in paediatrics patients without cow’s milk allergy: a single centre retrospective study by O’Connor, Graeme, Mansell, Melissa

“…Inclusion criteria were patients aged between 0 and 16 years old who had been prescribed an AAF as part of their enteral nutrition, providing at least 80% of their estimated energy requirements for any condition other than allergic disease. …”
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Topics in Bayesian machine learning for finance by Spears, T

“…We study an empirical trading strategy respectful of transaction costs and demonstrate performance over a long history of 29 years, for both a linear and a non-linear state space model. …”

Early adulthood BMI and cardiovascular disease: a prospective cohort study from the China Kadoorie Biobank by Chen, Y, Yu, W, Lv, J, Sun, D, Pei, P, Du, H, Yang, L, Chen, Y, Zhang, H, Chen, J, Chen, Z, Li, L, Yu, C

“…During a median follow-up of 12·0 years (IQR 11·3–13·1), we documented 57 203 (15·9%) of incident cardiovascular diseases in 360 855 participants. …”

Spent coffee grounds enhanced compressive strength of cement mortar: An optimization study by Yee, Jia Jun, Khong, Sheh Ching, Tee, Kong Fah, Jolius, Gimbun, Chin, Siew Choo

“…This paper presents an optimization study of spent coffee grounds (SCG) as cement mortar additives to enhance mortar strength. In recent years, sustainable materials have begun finding their way into cement mortar, with SCG being one. …”
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Synthetic image data generation via rendering techniques for training AI-based instance segmentation by Kho, Dickson Yik Cheng, Norazlianie, Sazali, Ismayuzri, Ishak, Saiful Anwar, Che Ghani

“…Synthetic image data generation has gained popularity in computer vision and machine learning in recent years. The work introduces a technique for creating artificial image data by utilizing 3D files and rendering methods in Python and Blender. …”
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Mapping the Unseen: In Vivo CEST-MRI of Creatine Reveals Improved Cardiac Energetics in Subjects with Obesity Following Bariatric Surgery by Yurista, Salva R., Chen, Shi, Eder, Robert A., Garrett, Thomas, Butsch, W. S., Aminian, Ali, Tang, W. H. W., Farrar, Christian T., Gee, Denise, Abel, E. D., Das, Saumya, Nguyen, Christopher T.

“…The median age was 46.5 years, 67% were female, and 16.67% had diabetes. …”
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Stomach tissue classification using autofluorescence spectroscopy and machine learning by Lim, Soo Y., Yoon, Hong M., Kook, Myeong-Cherl, Jang, Jin I., So, Peter T. C., Kang, Jeon W., Kim, Hyung M.

“…Abstract Background and objectives Determination of stomach tumor location and invasion depth requires delineation of gastric histological structure, which has hitherto been widely accomplished by histochemical staining. In recent years, alternative histochemical evaluation methods have been pursued to accelerate intraoperative diagnosis, often by bypassing the time-consuming step of dyeing. …”
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Violations of physical and psychological expectations in the human adult brain by Liu, Shari, Lydic, Kirsten, Mei, Lingjie, Saxe, Rebecca

“…As one approach to test this question, we used functional magnetic resonance imaging (fMRI) to scan the brains of human adults (total N = 49, 22 female, mean age of 26 years) while they viewed stimuli that were originally designed to test for physical and psychological expectations in infants. …”
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Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

“…We consider the 100-million-word model to be developmentally plausible in terms of the amount of training data given that this amount is similar to what children are estimated to be exposed to during the first 10 years of life. Second, we test the performance of a GPT-2 model trained on a 9-billion-token dataset to reach state-of-the-art next-word prediction performance on the human benchmark at different stages during training. …”
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SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models by Ji, Weiqi, Su, Xingyu, Pang, Bin, Li, Yujuan, Ren, Zhuyin, Deng, Sili

“…Therefore, data-driven approaches that enable efficient discovery and calibration of kinetic models have received much attention in recent years, the core of which is the high-dimensional optimization based on big data. …”
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MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model by Leong, Michael, Abdelhalim, Awad, Ha, Jude, Patterson, Diane, Pincus, Gabriel L, Harris, Anthony B, Eichler, Michael, Zhao, Jinhua

“…First, we utilize semi-supervised learning to engineer a training dataset of 11 broad transit topics detected in a corpus of 6 years of customer feedback provided to the Washington Metropolitan Area Transit Authority (WMATA). …”
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