Publications by authors named "Zainal A"

The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, and autonomous vehicles. As well, intrusion detection, the subject of this paper, relies heavily on it. Different intrusion detection models have been constructed using ANNs.

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Understanding the behavior of sand screens is crucial for optimizing sand control strategies and preventing wellbore failure, which can significantly impact reservoir management and production efficiency. This paper presents a comprehensive experimental and numerical modeling study on sand screen performance, aimed at providing insights prior to real-field applications. The study evaluated a 200-μm wire-wrapped screen (WWS) using slurry tests to determine the amount of sand retained, sand produced and retained permeability to assess screen efficiency.

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Understanding spoken language is crucial for conversational agents, with intent detection and slot filling being the primary tasks in natural language understanding (NLU). Enhancing the NLU tasks can lead to an accurate and efficient virtual assistant thereby reducing the need for human intervention and expanding their applicability in other domains. Traditionally, these tasks have been addressed individually, but recent studies have highlighted their interconnection, suggesting better results when solved together.

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Prior research has emphasized the potential of microalgae in biodiesel production, driven by their ability to replace fossil fuels. However, the significant costs associated with microalgae cultivation present a major obstacle to scaling up production. This study aims to develop an eco-friendly microalgae cultivation system by integrating carbon dioxide from flue gas emissions with an affordable photobioreactor, providing a sustainable biomass production.

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Background: Hyperglycemia, characterized by elevated blood glucose levels, is frequently observed in patients with acute coronary syndrome, including ST-elevation myocardial infarction (STEMI). There are conflicting sources regarding the relationship between hyperglycemia and outcomes in STEMI patients. We aimed to compile evidence to assess the association between hyperglycemia and adverse outcomes.

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Many intrusion detection techniques have been developed to ensure that the target system can function properly under the established rules. With the booming Internet of Things (IoT) applications, the resource-constrained nature of its devices makes it urgent to explore lightweight and high-performance intrusion detection models. Recent years have seen a particularly active application of deep learning (DL) techniques.

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Colorectal cancer (CRC) is one of the most common cancers worldwide and it involves various biomolecular and cellular levels. CRC has possibly happened due to aging, urbanization, and diet. Different foods have varying effects on the gastrointestinal cells, that's why additional research is necessary to create effective medical interventions.

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Objectives: Very few studies and limited information are available regarding the mechanism of fibrosis in tuberculosis (TB). This study aimed to identify, describe and synthesise potential biomarkers of the development of tissue fibrosis induced by TB through a systematic method and meta-analysis.

Methods: A literature search was performed using keywords according to the topic from electronic databases (ScienceDirect and PubMed) and other methods (websites, organisations and citations).

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Article Synopsis
  • Malware poses a significant security risk, as sophisticated methods make it hard to distinguish between malicious and legitimate software behaviors.
  • Existing solutions often use the TF-IDF technique to analyze malware, but this approach inaccurately represents features, leading to high false alarm rates.
  • The new Kullback-Liebler Divergence-based Term Frequency-Probability Class Distribution (KLD-based TF-PCD) algorithm improves accuracy by weighing features based on their probability distributions in malware versus benign classes, achieving an impressive accuracy of 0.972.
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Objective: Current treatments for osteoarthritis do not resolve the underlying cause. Dextrose prolotherapy is an alternative method that has been proposed for treatment of osteoarthritis, due to its ability to aid tissue regeneration, improve clinical manifestations, and repair damaged tissue structures, which are pathological conditions in osteoarthritis. The aim of this systematic review was to evaluate the efficacy of dextrose prolotherapy compared with other interventions in the management of osteoarthritis.

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Smart home technologies have attracted more users in recent years due to significant advancements in their underlying enabler components, such as sensors, actuators, and processors, which are spreading in various domains and have become more affordable. However, these IoT-based solutions are prone to data leakage; this privacy issue has motivated researchers to seek a secure solution to overcome this challenge. In this regard, wireless signal eavesdropping is one of the most severe threats that enables attackers to obtain residents' sensitive information.

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Salmonella enterica serovar Typhi (S. Typhi) that has developed resistance to many antimicrobials poses a serious challenge to public health. Hence, this study aimed to systematically determine the prevalence of antimicrobial resistance (AMR) in S.

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The RET kinase receptor is a target of mutations in neural crest tumors, including pheochromocytomas, and of oncogenic fusions in epithelial cancers. We report a RET::GRB2 fusion in a pheochromocytoma in which RET, functioning as the upstream partner, retains its kinase domain but loses critical C-terminal motifs and is fused to GRB2, a physiological RET interacting protein. RET::GRB2 is an oncogenic driver that leads to constitutive, ligand-independent RET signaling; has transforming capability dependent on RET catalytic function; and is sensitive to RET inhibitors.

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Background: Childhood sleep practices impact growth, development, and long-term health. There is a paucity of sleep data pertaining to preschool children in Asia, especially South-East Asia.

Methods: This cross-sectional study involved parents of well siblings, aged 2-6 years.

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Article Synopsis
  • Data streaming applications, especially in IoT, often deal with unlabeled sequential data from sensors, making traditional supervised learning challenging.
  • The online manifold regularization technique helps with learning from partially labeled data but typically requires the determination of the radial basis function (RBF) kernel width parameter, which is difficult to set without a lot of labeled data.
  • The proposed solution eliminates the RBF kernel by integrating prototype learning, allowing for faster learning and better classification performance, making the approach more practical for scenarios with limited labeled data.
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The prevalence of aggression in adolescents is on the rise, and it could be a serious public health concern. Studies have found positive relationships between perfectionism with anger, aggression, and hostility. However, the moderating role of self-compassion in the links between perfectionism with anger, aggression, and hostility has not been studied.

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Application of anaerobic digestion (AD) has become common in treating palm oil mill effluent in Malaysia; however, employing AD in treating the organic fraction of municipal solid waste (OFMSW), especially food waste, is still scarce. This study aims to characterize the commercial Malaysian food waste (CMFW) and determine its potential as sustainable bioenergy feedstock through biogas production. The sample was digested the biomethane potential (BMP) test with the variation of organic loading rates (OLRs), ranging from 0.

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Social anxiety is one of the most prevalent and chronic mental-health conditions in young adults. To date, no studies have been conducted about the relationships between the Big Five personality dimensions, courage, and social anxiety among Malaysian undergraduate students. Therefore, this study was designed to examine courage as a potential mediator of the association between the Big Five personality dimensions and social anxiety among Malaysian Undergraduates.

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Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of enterprise networks against cyber-attacks. However, NIDS networks suffer from several limitations, such as generating a high volume of low-quality alerts. Moreover, 99% of the alerts produced by NIDSs are false positives.

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An ageing population is a universal phenomenon experienced worldwide. In parallel with these demographic changes, a significant breakthrough in digital devices has also influenced this digital age. Designing instructional strategies to promote meaningful learning among older adult learners has been a long-standing challenge.

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Wireless Sensors Networks have been the focus of significant attention from research and development due to their applications of collecting data from various fields such as smart cities, power grids, transportation systems, medical sectors, military, and rural areas. Accurate and reliable measurements for insightful data analysis and decision-making are the ultimate goals of sensor networks for critical domains. However, the raw data collected by WSNs usually are not reliable and inaccurate due to the imperfect nature of WSNs.

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Article Synopsis
  • - Post-cardiac injury syndrome (PCIS) is an immune-related condition primarily affecting the pericardium and sometimes the heart and pleura, occurring in about 1% to 2% of patients after pacemaker insertion.
  • - A 62-year-old female developed PCIS eight weeks post-pacemaker surgery, experiencing severe complications including impending cardiac tamponade and recurrent pleural effusions.
  • - Despite treatment with steroids, her pleural effusions persisted and she ultimately required a procedure called talc pleurodesis, emphasizing the importance of recognizing PCIS in similar post-operative cases.
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Background: There is a paucity of data regarding outcomes with transfemoral (TF) versus transapical (TA) access for transcatheter aortic valve replacement (TAVR) in patients with peripheral artery disease (PAD).

Methods: We queried the national inpatient sample database (NIS) (2012-2013) to identify patients with PAD who underwent TAVR. We conducted a propensity matching analysis using 25 clinical variables to compare TF-TAVR versus TA-TAVR.

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Cushing syndrome (CS) is a disorder characterized by a result of chronic exposure to excessive glucocorticoids. This article describes a case of a 30-year-old female presenting with fatigue, abdominal striae, unintentional weight gain, and lipodystrophy. A rare diagnosis of ectopic adrenocorticotropic-dependent CS was determined and a neuroendocrine lung tumor (NET) was discovered on chest x-ray.

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Article Synopsis
  • * A case study is presented of a 46-year-old man experiencing chest pressure, shortness of breath, and heart rhythm irregularities, diagnosed with atrial fibrillation linked to Lyme carditis.
  • * The patient responded well to antibiotic treatment, leading to a full recovery and normal heart function, prompting the authors to recommend that doctors in endemic areas consider Lyme carditis when diagnosing patients with unexplained heart conditions.*
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