Publications by authors named "Musa K"

Hopfield neural networks (HNNs) promise broad applications in areas such as combinatorial optimization, memory storage, and pattern recognition. Among various implementations, optical HNNs are particularly interesting because they can take advantage of fast optical matrix-vector multiplications. Yet their studies so far have mostly been on the theoretical side, and the effects of optical imperfections and robustness against memory errors remain to be quantified.

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Article Synopsis
  • - Cardiovascular disease (CVD) significantly contributes to early deaths globally, and using causal inference methods can improve prediction models for CVD mortality.
  • - The paper outlines a three-phase methodology to develop a causal model for premature CVD mortality, which includes creating a Directed Acyclic Graph (DAG), validating it with expert consensus, and analyzing population-based survey data.
  • - Through expert feedback, the model identified 45 causal paths and specified variables like age and diabetes's impact on mortality, ultimately enhancing the transparency and effectiveness of causal modeling in CVD research.
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Introduction: Health-promoting behaviors (HPB) play a vital role in maintaining and enhancing overall well-being. Single mothers are at higher risk of cardiovascular disease (CVD) and less involvement in HPB due to psychosocial disadvantages.

Objective: This study aimed to determine the HPB scores and factors influencing HPB among single mothers in Kelantan (Northeastern, Malaysia).

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  • Cardiovascular disease (CVD) is the main cause of early death around the world, but not much research has been done about it in Malaysia.
  • The study looked at health data from Malaysians aged 18 to 70 over several years to find out how different factors affect early CVD deaths.
  • It found that men, certain ethnic groups, those living in rural areas, and people with lower education had a higher risk of dying early from CVD, especially if they had conditions like diabetes and high blood pressure.
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  • Leptospirosis and enteric fever are common bacterial infections in Kelantan, Malaysia, with similar transmission patterns but a lack of research on their spatial relationship.
  • The study analyzed data from 212 enteric fever cases and 1106 leptospirosis cases between 2016 and 2022, finding that both diseases cluster in the northern region, while leptospirosis is more common in the south.
  • The research indicated that these diseases have spatial dependence within an average distance of 4 km, highlighting the importance of developing public health strategies that address potential co-infections and shared risk factors in affected areas.
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Introduction: Cardiovascular disease (CVD) is a major health concern worldwide, particularly in low- and middle-income countries. The COVID-19 pandemic that emerged in late 2019 may have had an impact on the trend of CVD mortality. This study aimed to investigate the trend and changes in CVD mortality rates in Malaysia, using age-standardized mortality rates (ASMR) from 2010 to 2021.

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Background: Obstructed labour, a sequel of prolonged labour, remains a significant contributor to maternal and perinatal deaths in low- and middle-income countries.

Objective: We evaluated the modified World Health Organization (WHO) Labour Care Guide (LCG) in detecting prolonged and or obstructed labour, and other delivery outcomes compared with a traditional partograph at publicly-funded maternity centers of rural Mbarara district and City, Southwestern Uganda.

Methods: Since November 2023, we deployed the LCG for use in monitoring labour by trained healthcare providers across all maternity centers in Mbarara district/City.

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The circular economy practices contribute to sustainable development by maximising efficiency, utilising renewable resources, extending product lifespans, and implementing waste reduction strategies. This study investigates the individual impacts of four sources of the circular economy on the ecological footprint in Germany, a country that is among the pioneers in establishing a comprehensive roadmap for the circular economy. The four sources examined are renewable energy consumption (REC), recycling, reuse, and repair of materials.

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Importance: The global refugee crisis disproportionately affects the Muslim world. Forced displacement often results in trauma-related mental health issues. Effective psychotherapy exists, but there are barriers to uptake by refugee groups as well as a lack of culturally appropriate interventions.

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Background: Caring for stroke survivors can affect the caregiver's life, especially with the increment of patients' dependency level. This led to depression, anxiety, and stress in the caregiver, impacting their quality of life (QoL). This study aims to model relationships between caregivers' factors and stroke survivors' factors with caregivers' QoL and to estimate the mediation effects of caregivers' depression, anxiety, and stress in the relationships between stroke survivors' dependency level and caregivers' QoL.

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Article Synopsis
  • * A systematic literature review analyzed 22 studies (including 13 randomized controlled trials) from 2012 to 2022, focusing on the effectiveness of PA and diet interventions for AYA cancer survivors.
  • * While most interventions targeted PA—mainly aerobic and resistance training—and were generally well-received, there is a significant gap in research on nutrition, indicating a need for further studies to explore dietary impacts on AYA cancer survivors.
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Background: Vaccination has been one of the most effective preventive strategies to contain the COVID-19 pandemic. However, as the COVID-19 vaccines' effect wanes off after some time and given their reduced level of protection against mutation strains of the virus, the calls for boosters and second boosters signal the need for continuous vaccination for the foreseeable future. As Malaysia transitions into the endemic phase, the nation's ability to co-exist with the virus in the endemic phase will hinge on people's continuance intention to be vaccinated against the virus.

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Background Spontaneous preterm birth (SPB) is a global public health concern with devastating health effects on SPB survivors. This study aimed to determine modifiable antenatal risk factors associated with SPB among women attending government healthcare facilities in Malaysia. Methodology A retrospective record review of 49,416 national obstetrics registry data from 2015 was conducted and analyzed using binary logistic regression based on six antenatal factor divisions.

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Context.—: Mass COVID-19 vaccination is mandated in vulnerable populations in our renal transplant waitlist cohort. However, the anti-human leukocyte antigen (anti-HLA) profile after COVID-19 vaccination is controversial, and the side effects are yet to be discerned.

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Purpose: While the unmet healthcare needs are still being improved upon, the wellbeing of cancer patients has increasingly become a prime concern in Malaysia. The objective of this study is to ascertain the trend of unmet supportive care needs, post-traumatic growth (P T G), coping strategies, and social supports among patients with breast cancer over the three time points of treatment: T1 at early diagnosis, T2 for three months after diagnosis, and T3 for six months after diagnosis.

Methods: A total of 240 cancer patients participated in this prospective cohort study, with follow-up visits from October 2019 until July 2021.

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Objective: To determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan.

Methods: This community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25-80 years of any gender were consecutively included.

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  • The study addressed the critical issue of predicting mortality in acute stroke patients to aid clinical decision-making and management.
  • Researchers analyzed data from 950 patients across five hospitals, utilizing various survival modeling techniques, including Cox, support vector machine (SVM), and random survival forest (RSF).
  • The SVM model outperformed the others in predicting stroke mortality, showcasing strong accuracy and reliability, making it a valuable tool for enhancing clinical outcomes in stroke care.
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Objective: This study aimed to investigate the effect of oral administration of naringenin in combination with an aqueous mixture of coconut water (CW) and Arabic gum (AG) on renal function, lipid profile, antioxidant activity, and morphology in gentamicin-induced kidney injury in rats.

Materials And Methods: Forty adult male Wistar rats were equally divided into four groups. 1-Negative control group, 2-positive control group (Gentamicin), 3-Naringenin+AG+CW, 4-Gentamicin+Naringenin+AG+CW: groups 2 and 4 were treated with gentamicin.

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Introduction: Recognizing the burden experienced by caregivers of stroke survivors, an intervention using mobile health applications (mHealth apps) has been proposed to support and empower stroke caregivers. This study aimed to assess the acceptability and expectations of healthcare providers, who play a vital role as gatekeepers in the healthcare system, to ensure the effectiveness and sustainability of the intervention.

Methods: This was a concurrent mixed-method study design, with healthcare providers involved in stroke care management in the northeast regions of Malaysia as study participants.

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Introduction: Anthropometric indices are affordable and non-invasive methods for screening metabolic syndrome (MetS). However, determining the most effective index for screening can be challenging.

Objective: To investigate the accuracy of anthropometric indices as a screening tool for predicting MetS among apparently healthy individuals in Karachi, Pakistan.

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Purpose: The presence of metabolic syndrome (MetS) is linked to an increased risk of cardiovascular disease (CVD) development. In this study, CVD risk was calculated among individuals with newly diagnosed MetS using the Framingham Risk Score (FRS) and Globorisk Score. The FRS and Globorisk score are particularly relevant in predicting CVD risk as these scores include key MetS-related risk factors like blood pressure, cholesterol levels, and age.

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The quick advancement of digital technology through artificial intelligence has made it possible to deploy machine learning to predict stroke outcomes. Our aim is to examine the trend of machine learning applications in stroke-related research over the past 50 years. We used search terms stroke and machine learning to search for English versions of original and review articles and conference proceedings published over the past 50 years in Scopus and Web of Science databases.

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