The effect of meteorology and air quality to the COVID-19 cases in Malaysia: a multivariate deep learning approach by Peggy, Yeo, Azuraliza Abu Bakar, Zalinda Othman, Mazrura Sahani, Suhaila Zainudin, Zailiza Suli

“…Our model, which employs a neural network architecture incorporating both Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), was trained using multivariate time-series data. …”
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Cognitive diagnostic assessment in educational testing: a score strategy-based evaluation by Muhamad Firdaus Mohd Noh, Mohd Effendi @ Ewan Mohd Matore, Nur Ainil Sulaiman, Mohd Tarmizi Azeman, Hamzah Ishak, Nursohana Othman, Nurbaya Mohd Rosli, Siti Hannah Sabtu

“…Future studies are recommended to explore the long-term impacts of CDA on student achievement and educational equity, scalability across educational levels, and development of user-friendly tools to enhance accessibility for educators.…”
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Leveraging transfer learning for spatio-temporal human activity recognition from video sequences by Muneer Butt, Umair, Aman Ullah, Hadiqa, Letchmunan, Sukumar, Tariq, Iqra, Hafinaz Hassan, Fadratul, Wei Koh, Tieng

“…For temporal sequence, this study uses dense optical flow following the two-stream ConvNet and Bidirectional Long Short TermMemory (BiLSTM) to capture longtermdependencies. …”
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The (un)straight truth about trees by Ab Shukor, Nor Aini

“…Forest and forest products have long contributed to the global economic base, provided environmental services and housing for biodiversity, including carbon sequestration, storage and supply for both flora and fauna resources. …”
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Predicting and modeling the effects of turbines noise on operator’s mental task performance in AL-DORA power plant by Mosa, Ali I., Al-Sadawi, Laith A., Attia, Osam H., Adam, Nor Mariah

“…Moreover, low noise levels can still affect the performance of workers who are exposed to noise for long durations. With this clear relationship between noise levels, exposure time, and mental work efficiency, organizations can implement certain strategies to optimize their acoustic environments.…”
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Edible bird’s nest mitigates histological alterations in the cortexes of rats’ brains subjected to lead toxicity by Albishtue, Abdulla A., Yimer, Nurhusien, Zakaria, MD Zuki A., Haron, Abd Wahid

“…Lead (Pb) is a heavy metal which possesses a long half-life and a distinct negative effect on the bodies of humans and animals. …”
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Machine learning baseline energy model (MLBEM) to evaluate prediction performances in building energy consumption by Mustapa, Rijalul Fahmi, Hairuddin, Muhammad Asraf, Mohd Nordin, Atiqah Hamizah, Dahlan, Nofri Yenita, Mohd Yassin, Ihsan, Khirul Ashar, Nur Dalila

“…Three models with different categories involving Long Short-Term Memory (LSTM), Support Vector Regression (SVR), and AutoRegressive Integrated Moving Average with Exogenous inputs (ARIMAX) were compared, concluding that SVR was the best and can be used as a universal model in the Machine Learning Baseline Energy Model (MLBEM) studies. …”
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Heavy metals distribution in mangrove leaves in various sudanese coastal zones at the red sea by Mohammad Khalil, Rabha Khalil, Solangi, Kashif Ali, Alhassan, Abdullahi Bala, Khan, Waseem Razzaq, Aljahdali, Mohammed Othman

“…These results could be useful as a database for prospective ecological research, preservation efforts, and long-term sustainable management of the Sudanese mangrove ecosystems throughout the Red Sea coastal.…”
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A multi-layer CNN-GRUSKIP model based on transformer for spatial: temporal traffic flow prediction by Mohammad Ata, Karimeh Ibrahim, Hassan, Mohd Khair, Ismaeel, Ayad Ghany, Al-Haddad, Syed Abdul Rahman, Alquthami, Thamer‎, Alani, Sameer

“…The model comprises (1) the specialized CNN feature extraction, (2) the GRU-SKIP enhanced long-temporal module adept at capturing extended patterns, (3) a transformer module employing encoder-decoder and multi-attention mechanisms to hone prediction accuracy and trim model complexity, and (4) a bespoke prediction module. …”
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Knowledge and practice on exclusive breastfeeding and association with work-related factors among mothers in Hospital Universiti Sains Malaysia by Rosdi, Nur Hanim Natasha Mohd

“…In addition to decreasing the risk of infections, it strengthens the link between mother and child, improving long-term health. This study seeks to assess the knowledge and practice of EBF among mothers in Hospital USM along with the association with work-related factors. …”
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Deformation of peat soil reinforcement settlement using single-layer bamboo dendrocalamus asper by Md Yusof, Z, Khairul Anuar, N A, Abu Talib, M K, Md Dan, M F, Mohammad Noh, N

“…The stability of peat was more stable when the reinforcement is held or tied with a strong material that can be used for the long term. Therefore, this study to identify the deformation settlement of single-layer bamboo Dendrocalamus asper that using as reinforcement for the peat. …”
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Nuclear fuel materials and its sustainability for low carbon energy system: A review. by Nor Azman, Muhammad 'Adli, Mohd. Ali, Nur Syazwani, Sarkawi, Muhammad Syahir, Sazali, Muhammad Arif, Basri, Nor Afifah

“…Prolonged storage of used nuclear fuels will make the volume of nuclear waste high and become hard to manage after a long period of storage. An effort to reprocess the spent fuel as to extract fissile and fertile material to be used in nuclear fuels usually was undertaken to reduce the waste volume. …”
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Al2O3-Cu hybrid nanofluid flow and heat transfer characteristics in the duct with various triangular rib configurations by Togun, Hussein, Homod, Raad Z., Sultan Aljibori, Hakim S., Abed, Azher M., Alias, Hajar, Hussein, Ahmed Kadhim, Biswal, Uddhaba, Al-Thamir, Mohaimen, Mahdi, Jasim M., Mohammed, Hayder I., Ahmadi, Goodarz

“…Numerical simulations were conducted for a 25 cm long, -cm high duct with walls maintained at 313 K. …”

Implications of contextual ambidexterity and digital platform capability on SME performance: the role of absorptive capacity as a moderator by Ramdan, Mohamad Rohieszan, Abdullah, Nor Liza, Abd. Aziz, Nurul Ashykin, Mohd. Fuzi, Nursyazwani, Ong, Sharon Yong Yee, Ab. Wahab, Nur Yuhainis

“…Contextual ambidexterity and digital platform capability can help SMEs achieve long-term success. However, achieving a balance between exploration and exploitation of contextual ambidexterity for integrating and reconfiguring organisations using digital platform capability is challenging to SMEs. …”
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Development of Sustainability Integration Framework Towards Energy Efficiency for Government Building (S/O 14169) by Mohd Nawi, Mohd Nasrun, Omar, Mohd Faizal, Abdul Rahim, Mohd Kamarul Irwan, Tahir, Mohamad Zamhari, Zulhumadi, Faisal

“…Energy management in government office buildings is to ensure continuous energy efficiency over a long period by applying the methods that suit the needs and the budget. …”
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Modeling the Future Space Debris Population and Orbital Capacity by Jang, Daniel

“…The SSEM simplifies the complex dynamics of space-object interactions into deterministic equations, focusing on the long-term evolution of orbital populations across different altitude shells. …”
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Fabrication of hollow fiber membranes using amphiphilic block copolymers as pore-forming additives by Loh, Chun Heng

“…It is possible that due to the long PPO and PEO blocks in these Pluronics, PEO brush layer that reduces the apparent membrane pore size has formed on the internal pore surface and hence the solute rejection of the resultant membranes is improved. …”
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Suction Variation of a Single Mature Tree on Top of Tropical Residual Soil by Solahuddin, Daud, Muhammad Farhan, Zolkepli, Mohd Fakhrurrazi, Ishak, Zaihasra, Abu Talib

“…The decreases of matric suction occur after a long duration of intense rainfall. This was an initial condition before the water uptake driven by the active root tree generated the maximum matric suction (low moisture content). …”
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A review of organic phase change materials and their adaptation for thermal energy storage by Yadav, Aman, Pandey, A. K., Mahendran, Samykano, Kalidasan, B., Said, Zafar

“…However, low thermal conductivity and leakage problems during the phase transition of O-PCMs are of great concern. To overcome the long-standing drawbacks of O-PCMs, we critically discussed the preparation techniques of macro encapsulation phase change (MaPCM), microencapsulation phase change materials (MPCM), shape stabilized phase change materials (SSPCM), eutectic phase change materials (EPCM), nano-enhanced phase changematerials (NePCM) along with themorphological insights, thermal propertyenhancements & molecular dynamics (MD) simulation of the prepared composite PCMs. …”
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Analysis of photovoltaic module degradation: An experimental investigation on the correlation between partial shading, hot spots, and EVA discoloration by Islam, Md. Imamul, Mohd Shawal, Jadin, Al Mansur, Ahmed, Mohd Salmizan, Mohd Zain, Ul Haq, Mohammad Asif

“…The performance of solar PV modules is impacted by several environmental stressors, including high ambient temperatures, inadequate sunlight, shade, dust, soiling, cell damage, etc. To guarantee long-term clean and sustainable energy generation, it is crucial to understand performance degradation and PV module reliability. …”
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