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Antiviral properties of orthosiphon stamineus aqueous extract in herpes simplex virus type 1 infected cells

Nur Suhana Mohamad Ripim, Nuraini Fazil, Saidatul Nadrah Kholid Ibrahim, Adibah Ahamad Bahtiar, Yip Chee Wai, Nazlina Ibrahim, et al.

Sains Malaysiana, 2018;47:1725-1730.

A study was conducted to investigate the antiviral activity of aqueous extracts from Orthosiphon stamineus (OS).
Extraction was done using different parts of OS. The whole plant except root (WPOS), leaves (LOS) and flowers (FOS) of
OS were extracted using aqueous extraction method. Cytotoxicity was assessed using 3-(4,5-dimethylthiazol-2,5-diphenyl
tetrazolium bromide (MTT) assay. Plaque reduction assays were carried out to evaluate the antiviral activity of OS extract
against herpes simplex virus type 1 (HSV-1). These include post-treatment, pre-treatment and virucidal assays. High
antiviral activity was observed in post-treatment and virucidal assay with 100% reduction of HSV-1 plaque at 0.39 mg/
mL in LOS, FOS and WPOS. In pre-treatment assay, 79%, 84% and 97% plaque reduction using the same concentration
was observed in FOS, LOS and WPOS, respectively. In conclusion, this study showed that OS aqueous extract has promising
potential to be explored as anti-HSV-1 agent regardless of the mode of treatment.
Detection of gliclazide in aqueous samples using liquid chromatography/time-of-flight/mass spectrometry

Fouad Fadhil Al-Qaim, Md Pauzi Abdullah, Jalifah Latip, Wan Mohd Afiq Wan Mohd Khalik, Nurfaizah Abu Tahrim, Nurul Auni Zainal Abidin, et al.

Sains Malaysiana, 2016;45:803-810.

The big challenge for the detection of pharmaceutical residues in water samples is the type of ionization mode in
terms of positive or negative ionization which plays an important role to identify and quantify the analytes using liquid
chromatography/mass spectrometry. An analytical method was applied to analysis of gliclazide (diabetic drug) in surface
water and wastewater from sewage treatment plants and hospitals. The proposed analytical method allows simultaneous
isolation and concentration procedure using solid phase extraction (Oasis HLB) prior to separation using high-performance
liquid chromatography. The detection and confirmation was achieved by applying time-of-flight analyzer. The limits of
quantification were as low as 1.4 ng/L (deionized water), 4 ng/L (surface water), 27 ng/L (hospital influent), 10 ng/L
(hospital effluent), 6 ng/L (sewage treatment plant effluent) and 21 ng/L (sewage treatment plant influent), respectively. On
average, good recoveries of higher than 87% were obtained for gliclazide in the studied samples. The proposed method
successfully determined and quantified gliclazide in surface water and wastewater. The results showed that gliclazide
is a persistent compound in sewage treatment effluents as well as in the recipient rivers. Gliclazide was detected in all
samples and the highest concentration was 130 ng/L in influent of sewage treatment plant.
Production and characterization of the defatted oil palm shell nanoparticles

Abdul Khalil HPS, Md. Sohrab Hossain, Nur Amiranajwa AS, Nurul Fazita MR, Mohamad Haafiz MK, Suraya N, et al.

Sains Malaysiana, 2016;45:833-839.

This present study was conducted to produce defatted oil palm shell (OPS) nanoparticles. Wherein, the OPS nanoparticles
were defatted by solvent extraction method. Several analytical methods including transmission electron microscope (TEM),
X-ray diffraction (XRD), particle size analyzer, scanning electron microscope (SEM), SEM energy dispersive X-ray (SEM-EDX)
and thermal gravimetric analyzer (TGA) were used to characterize the untreated and defatted OPS nanoparticles. It was
found that 75.3% OPS particles were converted into nanoparticles during ball milling. The obtained OPS nanoparticles had
smaller surface area with angular, irregular and crushed shapes under SEM view. The defatted OPS nanoparticles did not
show any agglomeration during TEM observation. However, the untreated OPS nanoparticles had higher decomposition
temperature as compared to the defatted OPS nanoparticles. Based on the characterization results of the OPS nanoparticles,
it is evident that the defatted OPS nanoparticles has the potentiality to be used as filler in biocomposites
Effect of plasma treatment (he/ch4) on the glass surface for the reduction of powder flux adhesion in the spray drying process

Nadiah Ramlan, Nazirah Wahidah Mohd Zamri, Mohamad Yusof Maskat, Mohd Suzeren Md Jamil, Saiful Irwan Zubairi, Chin OH, et al.

Sains Malaysiana, 2018;47:1147-1155.

A 50Hz glow discharge He/CH4
plasma was generated and applied for the glass surface modification to reduce the powder
adhesion on wall of spray dryer. The hydrophobicity of the samples determined by the water droplet contact angle and
adhesion weight on glass, dependent on the CH4 flow rate and plasma exposure time. The presence of CH3
groups and
higher surface roughness of the plasma treated glass were the factors for its hydrophobicity development. Response
surface methodology (RSM) results using central composite rotatable design (CCRD) showed that optimal responses
were obtained by the combination of parameters, CH4
gas flow rate = 3 sccm and exposure time = 10 min. In optimum
conditions, the contact angle increased by 47% and the weight of the adhesion reduced by 38% (w/w). The plasma
treatment could enhance the value of the contact angle and thus reduced the adhesion on the spray dryer glass surface.
Fulltext Drug Utilization in the Treatment of Diabetes Mellitus in the Ministry of Health Facilities

Abdul Aziz AM, Manan MM, Bahri S, Md Yusof FA, Kamarruddin Z, Said S, et al.

ISBN: 978-967-5570-45-2

Citation: Abdul Aziz AM, et al. Drug Utilization in the Treatment of Diabetes Mellitus in the Ministry of Health Facilities. Petaling Jaya: Pharmaceutical Services Division, Ministry of Health, Malaysia; 2013

Diabetes Mellitus (DM) is a costly disease to manage because of its chronic nature and severity of complications. Treatment of DM incurred high healthcare cost in both developed and developing countries. In Malaysia, treatment of DM is provided by all Ministry of Health (MOH) healthcare facilities and treatment may vary according to types of facilities. These differences may be associated with the utilization pattern and patient’s adherence to therapy and it is important to link actual medication therapy and the direct medical cost in the management of Malaysian DM patients. Thus, this study is to describe the utilization of medications in the treatment of DM in the MOH healthcare facilities and DM patient’s adherence towards their medication. This is a cross-sectional study in 94 MOH health facilities from November 2010 to December 2011. The healthcare facilities were categorized as National Referral Hospital, State Hospitals, Hospitals with Specialist, Hospitals without Specialist and Health Clinics. Patients were selected by the method of systematic random sampling and screened based on the inclusion and exclusion criteria. Face-to-face interview and retrospective data retrieval of patients’ medical record were conducted. The questionnaire and Morisky’s four questions adherence scale were utilized during the interview. A total of 2,509 (88.2%) patients were included in the study. The findings showed that variables for age, gender, race, marital status, household income, and occupation were essential components in examining its impact towards DM care. Most of the patients were between 45 to 55 years old and were burdened with co-morbidities. The observed trend in disease status showed that DM is closely related to co-morbidities such as hypertension, cardiovascular diseases, and hyperlipidaemia; more commonly in patients with more than 5 disease years. A total of 14.6% of DM patients have yet to be initiated with insulin while 84% and 78.9% of patients had poor control of HbA1c and fasting blood glucose. In terms of drug utilization and medication cost, there was no significant difference in the pattern of medication used for the first-line treatment of DM among type of facilities. Biguanides, sulphonamides, urea derivatives, and insulin are the top three DM medications. Insulin usage ranges from 25.6% at Hospitals without Specialist to 57.8% at State Hospitals and this corresponds to 2.5 to 7.0 times increment from National Health and Morbidity Survey (NHMS) III. Use of non-antidiabetic agents (ADA) corresponds with the top 10 co-morbidities. These include platelet aggregating inhibitors, ACE-inhibitors and statins. The pattern of treatment for co-morbidities showed significant differences among facilities and may be due to the degree of severity of DM patients. Also, the policies of categorizing A*/A/KK has led to these medications being less commonly prescribed in Hospitals without Specialist and Health Clinics. Adherence is an issue that DM patients need to improve. This study found that race, household income, and age were significant indicators for poor adherence. The odds ratio (OR) for age showed it contributed to almost one time lower in adherence. The OR for inter-racial differences found that both Chinese and Indian patients were about 0.7 times more likely to be non-adherence than Malays. Household income of less than RM1,000 per month similarly showed a 0.8 times less adherence compared to households earning between RM1,000 to RM3,000 per month. Pharmacists had been giving counselling to patients and the personalized approach by pharmacist had shown positive impact on Diabetic Medication Therapy Adherence Clinic (DMTAC) patients. The study findings, however, showed no improvement in adherence between those who attended DMTAC and those who have not. These findings might not be generalizable since most facilities had a very small percentage of DM patients and they are usually the problematic or difficult patients; this could have led to the rather uneventful findings. Finally, this study showed that there is no significant difference in the utilization of medication among health facilities in the treatment of DM. Adherence is still an area of concern and collaboration between healthcare professionals is vital for better treatment outcome.
Distribution of polycyclic aromatic hydrocarbons (PAHs) in Surface Sediments of Langkawi Island, Malaysia

Terence Ricky Chiu, Md Firoz Khan, Mohd Shahrul Mohd Nadzir, Haris Hafizal Abdul Hamid, Mohd Talib Latif, Mohd Shahrul Mohd Nadzir, et al.

Sains Malaysiana, 2018;47:871-882.

The individual compounds and sources of polycyclic aromatic hydrocarbon (PAHs) were studied in the surface sediments
at 32 locations in the tourism area of Langkawi Island. A total of 15 PAHs were determined and quantified by gas
chromatography coupled with mass spectrometry (GC-MS). The total PAH concentrations of surface sediments from
Langkawi Island ranged from 228.13 to 990.25 ng/g and they were classified as being in the low to moderate pollution
range. All sampling stations were dominated by high molecular weight PAHs with 4 rings (31.59%) and 5-6 rings (42.73%).
The diagnostic ratio results showed that in most cases, the sampling stations have pyrogenic input. Further analysis
using principal component analysis (PCA) combined with absolute principal component score (APCS) and multiple linear
regression (MLR) showed that the natural gas emissions contributed to 57% of the total PAH concentration, 22% from the
incomplete combustion and pyrolysis of fuel, 15% from pyrogenic and petrogenic sources and 6% from an undefined source.
Psychological Impact of COVID-19 Pandemic in Bangladesh: Analysis of a Cross-Sectional Survey

Abir T, Osuagwu UL, Kalimullah NA, Yazdani DMN, Husain T, Basak P, et al.

Health Secur, 2021 08 03;19(5):468-478.
PMID: 34348050 DOI: 10.1089/hs.2020.0205

The COVID-19 pandemic has generated fear, panic, distress, anxiety, and depression among many people in Bangladesh. In this cross-sectional study, we examined factors associated with different levels of psychological impact as a result of COVID-19 in Bangladesh. From April 1 to 30, 2020, we used a self-administered online questionnaire to collect data from 10,609 respondents. Using the Impact of Event Scale-Revised to assess the psychological impact of the COVID-19 pandemic on respondents, we categorized the levels of impact as normal, mild, moderate, or severe. Ordinal logistic regression was used to examine the associated factors. The prevalence of mild, moderate, and severe psychological impact was 10.2%, 4.8%, and 45.5%, respectively. Multivariate analysis revealed that the odds of reporting normal vs mild, moderate, or severe psychological impact were 5.9 times higher for people living in the Chittagong Division, 1.7 times higher for women with lower education levels, 3.0 times higher among those who were divorced or separated, 1.8 times higher for those working full time, and 2.4 times higher for those living in shared apartments. The odds of reporting a psychological impact were also higher among people who did not enforce protective measures inside the home, those in self-quarantine, those who did not wear face masks, and those who did not comply with World Health Organization precautionary measures. Increased psychological health risks due to COVID-19 were significantly higher among people who experienced chills, headache, cough, breathing difficulties, dizziness, and sore throat before data collection. Our results showed that 1 in 2 respondents experienced a significant psychological impact as a result of the COVID-19 pandemic. Public health researchers should consider these factors when targeting interventions that would have a protective effect on the individual's psychological health during a pandemic or future disease outbreak.
Prevalence of metabolic syndrome and its risk factors in adult Malaysians: results of a nationwide survey

Mohamud WN, Ismail Aa, Khir AS, Ismail IS, Musa KI, Kadir KA, et al.

Diabetes Res Clin Pract, 2012 04;96(1):91-7.
PMID: 22553777 DOI: 10.1016/j.diabres.2011.11.020

Aim: To report the national prevalence of metabolic syndrome (MetS) and its risk factors among adult Malaysians (>18 years old) based on World Health Organization (WHO), the National Cholesterol Education Program Expert Panel III (ATP III), International Diabetes Federation (IDF) and the 'Harmonized' criteria.Methods: A multi-stage stratified sampling method was used to select 4341 subjects from Peninsular and East Malaysia. Subjects underwent physical and clinical examinations.Results: Based on the WHO, ATP III, IDF and Harmonized definitions, the overall crude prevalences of MetS were 32.1, 34.3, 37.1 and 42.5%, respectively. Regardless of the criteria used, MetS was higher in urban areas, in females, in the Indian population and increased significantly with age. Risk factors also increased with age; abdominal obesity was most prevalent (57.4%), was higher in females (64.2%) and was highest in Indians (68.8%).Hypertension was higher in males (56.5%) and highest among Malays (52.2%). In contrast,the Chinese had the highest prevalence of hypertriglyceridemia (47.4%).Conclusions: Malaysia has a much higher prevalence of MetS compared with other Asian countries and, unless there is immediate intervention to reduce risk factors, this may pose serious implications on the country's healthcare costs and services.
Fulltext Control rod safety management in nuclear power plant : a review

Muhammad Adil Khattak, Filzah Hazirah Jaffar, Najaa Fadhilah Mohd Nasir, Nurfarhah Ridzuan, Nurlaila Syamsul Bahri, Wan Nur Iffah Haziqah Md Zamri

Journal of Advanced Review on Scientific Research, 2017;32(1):14-27.
MyJurnal

The primary objective of control rod management is to ensure the safe, reliable and
optimum use of the nuclear fuel in the reactor, while remain within the limits imposed
by the design of the fuel assembly and reactor w.r.t the safety analysis. In numerous
reactors, the control rods perform the function of reactivity control, both globally and
locally, latter also control the power distribution of the core. Most control rods are
completely withdrawn from the core during operations and fully inserted during
shutdown of the reactor. This are the prove of an investigative study into optimization
of the heterogeneous control rods, the safety management of an additional safety rod,
and control rod drop hydrodynamic analysis which will be able to provide an efficient
and maximum safety procedure for emergency shut down system in the reactor. It is
also will be very important safety features of the reactor. To design the additional
safety rod at the inner irradiation sites with boron carbide (absorber material) and
stainless steel (clad) and also to design a simple heterogeneous control rod design to
analyse the effects of geometry self-shielding, the Monte Carlo Neutron Particle Code,
version 5 (MCNP5) was used. By simulating the unsteady flow field around the control
rod, the hydrodynamic analysis of the control rod can be analysed. A correlation based
on the achieved data was proposed to provide useful information on the safety
management during the research.
Fulltext Determination and Quantification of Phytochemicals from the Leaf Extract of Parthenium hysterophorus L. and Their Physio-Biochemical Responses to Several Crop and Weed Species

Bashar HMK, Juraimi AS, Ahmad-Hamdani MS, Uddin MK, Asib N, Anwar MP, et al.

Plants (Basel), 2022 Nov 23;11(23).
PMID: 36501249 DOI: 10.3390/plants11233209

This current investigation was undertaken both in laboratory and glasshouse for documentation and quantification of phytochemicals from different parts of the parthenium (Parthenium hysterophorus L.) plant through LC-MS and HPLC to study their effect on two crops namely, Bambara groundnut (Vigna subterranean L.) and maize (Zea mays L.), and six different types of weed e.g., Digitaria sanguinalis, Eleusine indica, Ageratum conyzoides, Cyperus iria, Euphorbia hirta, and Cyperus difformis. The parthenium methanolic leaf extracts at 25, 50, 75, and 100 g L-1 were sprayed in the test crops and weeds to assess their physiological and biochemical reactions after 6, 24, 48, and 72 h of spraying these compounds (HAS). The LC-MS analysis confirmed seven types of phytochemicals (caffeic acid, ferulic acid, vanillic acid, parthenin, chlorogenic acid, quinic acid, and p-anisic acid) in the parthenium leaf extract that were responsible for the inhibition of tested crops and weeds. From the HPLC analysis, higher amounts in leaf methanol extracts (40,752.52 ppm) than those of the stem (2664.09 ppm) and flower extracts (30,454.33 ppm) were recorded. Parthenium leaf extract at 100 g L-1 had observed higher phytotoxicity on all weed species except C. difformis. However, all crops were found safe under this dose of extraction. Although both crops were also affected to some extent, they could recover from the stress after a few days. The photosynthetic rate, transpiration rate, stomatal conductance, carotenoid and chlorophyll content were decreased due to the application of parthenium leaf extract. However, when parthenium leaf extract was applied at 100 g L-1 for 72 h, the malondialdehyde (MDA) and proline content were increased in all weeds. Enzymatic antioxidant activity (e.g., superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) contents) were also elevated as a result of the sprayed parthenium leaf extract. The negative impact of physiological and biochemical responses as a consequence of the parthenium leaf extract led the weed species to be stressed and finally killed. The current findings show the feasibility of developing bioherbicide from the methanolic extract of parthenium leaf for controlling weeds, which will be cost-effective, sustainable, and environment friendly for crop production during the future changing climate.
Fulltext Colletotrichum truncatum Causing Anthracnose of Tomato (Solanum lycopersicum L.) in Malaysia

Shahriar SA, Husna A, Paul TT, Eaty MNK, Quamruzzaman M, Siddique AB, et al.

Microorganisms, 2023 Jan 16;11(1).
PMID: 36677518 DOI: 10.3390/microorganisms11010226

Tomato (Solanum lycopersicum L.) is a popular nutritious vegetable crop grown in Malaysia and other parts of the world. However, fungal diseases such as anthracnose pose significant threats to tomato production by reducing the fruit quality and food value of tomato, resulting in lower market prices of the crop globally. In the present study, the etiology of tomato anthracnose was investigated in commercial tomato farms in Sabah, Malaysia. A total of 22 fungal isolates were obtained from anthracnosed tomato fruits and identified as Colletotrichum species, using morphological characteristics. The phylogenetic relationships of multiple gene sequence alignments such as internal transcribed spacer (ITS), β-tubulin (tub2), glyceraldehyde 3-phosphate dehydrogenase (gapdh), actin (act), and calmodulin (cal), were adopted to accurately identify the Colletotrichum species as C. truncatum. The results of pathogenicity tests revealed that all C. truncatum isolates caused anthracnose disease symptoms on inoculated tomato fruits. To our knowledge, the present study is the first report of tomato anthracnose caused by C. truncatum in Malaysia. The findings of this study will be helpful in disease monitoring, and the development of strategies for effective control of anthracnose on tomato fruits.
Trace element speciation in sludge: a preliminary study to assess contamination levels in the sewage network

Islam MS, Phoungthong K, Ismail Z, Othman IK, Shahid S, Ishak DSM, et al.

J Environ Sci Health A Tox Hazard Subst Environ Eng, 2022;57(13-14):1073-1083.
PMID: 36644961 DOI: 10.1080/10934529.2022.2148811

The spreading of sewage sludge from wastewater treatment plants and various industries arouses the growing interest due to the contamination by trace elements. Sludges were collected from one sewage treatment plant and two industries in Dhaka City, Bangladesh to assess physicochemical parameters and total and fraction content of trace elements like Cr, Ni, Cu, As, Cd, Pb, Fe, Mn and Zn in sludges. We evaluated the bioavailability of theses metals by determining their speciation by sequential extraction, each metal being distributed among five fractions: exchangeable fraction, bound to carbonate fraction, Fe-Mn oxide bound fraction, organic matter bound fraction and residual fractions. We found that all the analyzed sludges had satisfactory properties from an agronomic quality point of view. The average concentration (mg/kg) of trace metals in sludge samples were in the following decreasing order Fe (12807) > Cr (200) > Mn (158) > Zn (132) > Cu (68.2) > Ni (42.5) > Pb (36.4) > As (35.1) > Cd (3.7). The results of the sequential extraction showed that Cr, Ni, Cu, Fe and Mn were largely associated with the residual fraction where As, Cd and Pb was dominantly associated with the exchangeable and carbonate bound fractions and Zn showed a considerable proportion in carbonate bound fraction. These results showed that regulations must take into account the bioavailability with regard to the characteristics of the agricultural soils on which sludge will be spread.
Physicochemical approaches reveal the impact of electrolytes and hydrotropic salt on micellization and phase separation behavior of polymer polyvinyl alcohol and surfactant mixture

Rather SU, Rahman MH, Bamufleh HS, Alhumade H, Taimoor AA, Saeed U, et al.

Int J Biol Macromol, 2023 Apr 30;235:123761.
PMID: 36812977 DOI: 10.1016/j.ijbiomac.2023.123761

The polymer-surfactant mixture has usages in numerous industries mainly in the production of daily used materials. Herein, the micellization and phase separation nature of the sodium dodecyl sulfate (SDS) and TX-100 along with a synthetic water-soluble polymer-polyvinyl alcohol (PVA) have been conducted using conductivity and cloud point (CP) measurement tools. In the case of micellization study of SDS + PVA mixture by conductivity method, the CMC values were obtained to be dependent on the categories and extent of additives as well as temperature variation. Both categories of studies were performed in aq. solutions of sodium chloride (NaCl), sodium acetate (NaOAc), and sodium benzoate (NaBenz) media. The CP values of TX 100 + PVA were decreased and enhanced in simple electrolytes and sodium benzoate media respectively. In all cases, the free energy changes of micellization (∆Gm0) and clouding (∆Gc0) were obtained as negative and positive respectively. The enthalpy (∆Hm0) and entropy (∆Sm0) changes for SDS + PVA system micellization was negative and positive respectively in aq. NaCl and NaBenz media, and in aq. NaOAc medium the ∆Hm0 values were found negative while ∆Sm0 were found negative except at the highest studied temperature (323.15 K). The enthalpy-entropy compensation of both processes was also assessed and described clearly.
Clinical presentation of post-COVID pain and its impact on quality of life in long COVID patients: a cross-sectional household survey of SARS-CoV-2 cases in Bangladesh

Kabir MF, Yin KN, Jeffree MS, Ahmedy FB, Zainudin MF, Htwe O, et al.

BMC Infect Dis, 2024 Apr 04;24(1):375.
PMID: 38575878 DOI: 10.1186/s12879-024-09267-3

BACKGROUND: Pain is one of the prevalent Long COVID Symptoms (LCS). Pain interferes with the quality of life (QoL) and induces disease burden.
PURPOSE: The study aimed to elicit the clinical presentation of pain and determine the relationships between QoL and pain in LCS.
METHODS: This household cross-sectional study of 12,925 SARS-CoV-2 cases between July and December 2021 was carried out in eight administrative divisions of Bangladesh. Stratified random sampling from the cases retrieved from the Ministry of Health was employed. Symptom screening was performed through COVID-19 Yorkshire Rehabilitation Scale, and long COVID was diagnosed according to World Health Organization (WHO) criteria. The analyses were conducted using IBM SPSS (Version 20.00).
RESULTS: The prevalence of pain in long COVID was between 01 and 3.1% in the studied population. The study also found five categories of pain symptoms as LCS in Bangladesh: muscle pain 3.1% (95% CI; 2.4-3.8), chest pain 2.4% (95% CI; 1.8-3.1), joint pain 2.8% (95% CI; 2.2-2.3), headache 3.1% (95% CI; 2.4-3.8), and abdominal pain 0.3% (95% CI; 0.01-0.5). People with LCS as pain, multiple LCS, and longer duration of LCS had significantly lower quality of life across all domains of the WHOQOL-BREF (P
Fulltext Description of the COVID-19 epidemiology in Malaysia

Md Nadzri MN, Md Zamri ASS, Singh S, Sumarni MG, Lai CH, Tan CV, et al.

Front Public Health, 2024;12:1289622.
PMID: 38544725 DOI: 10.3389/fpubh.2024.1289622

INTRODUCTION: Since the COVID-19 pandemic began, it has spread rapidly across the world and has resulted in recurrent outbreaks. This study aims to describe the COVID-19 epidemiology in terms of COVID-19 cases, deaths, ICU admissions, ventilator requirements, testing, incidence rate, death rate, case fatality rate (CFR) and test positivity rate for each outbreak from the beginning of the pandemic in 2020 till endemicity of COVID-19 in 2022 in Malaysia.
METHODS: Data was sourced from the GitHub repository and the Ministry of Health's official COVID-19 website. The study period was from the beginning of the outbreak in Malaysia, which began during Epidemiological Week (Ep Wk) 4 in 2020, to the last Ep Wk 18 in 2022. Data were aggregated by Ep Wk and analyzed in terms of COVID-19 cases, deaths, ICU admissions, ventilator requirements, testing, incidence rate, death rate, case fatality rate (CFR) and test positivity rate by years (2020 and 2022) and for each outbreak of COVID-19.
RESULTS: A total of 4,456,736 cases, 35,579 deaths and 58,906,954 COVID-19 tests were reported for the period from 2020 to 2022. The COVID-19 incidence rate, death rate, CFR and test positivity rate were reported at 1.085 and 0.009 per 1,000 populations, 0.80 and 7.57%, respectively, for the period from 2020 to 2022. Higher cases, deaths, testing, incidence/death rate, CFR and test positivity rates were reported in 2021 and during the Delta outbreak. This is evident by the highest number of COVID-19 cases, ICU admissions, ventilatory requirements and deaths observed during the Delta outbreak.
CONCLUSION: The Delta outbreak was the most severe compared to other outbreaks in Malaysia's study period. In addition, this study provides evidence that outbreaks of COVID-19, which are caused by highly virulent and transmissible variants, tend to be more severe and devastating if these outbreaks are not controlled early on. Therefore, close monitoring of key epidemiological indicators, as reported in this study, is essential in the control and management of future COVID-19 outbreaks in Malaysia.
Fulltext Empathy among undergraduate medical students: A cross-sectional study in one Malaysian public medical school

Haque M, Sa B, Majumder MAA, Islam MZ, Othman NSAB, Lutfi SNNB, et al.

Ann Afr Med, 2018;17(4):183-188.
PMID: 30588931 DOI: 10.4103/aam.aam_57_17

BACKGROUND: Empathy is one of the cardinal components for physician-patient relationships, optimal outcomes in patient care, improved patient satisfaction, greater adherence to therapy, and lower malpractice liability. It is also considered an essential quality for health-care professionals to practice medicine. The aim of the present study was to assess the empathy level of medical students of Universiti Pertahanan Nasional Malaysia (UPNM) National Defense University of Malaysia, Kuala Lumpur, Malaysia.
METHODS: This was a cross-sectional study conducted in 2017 which recruited medical students of UPNM. The Empathy Quotient, a self-reported questionnaire, was utilized for data collection. The total empathy score of the questionnaire is 80.
RESULTS: Majority of the respondents were male (60.9%), year-V students (26.6%), Malay (70.5%), and cadet officer (69.6%). The overall mean score achieved by the respondents was 36.76 ± 9.18, and 74.4% of the respondents scored more than 30. The empathy scores of the students were significantly affected by the gender (t = 2.371; df = 205; P < 0.05), year of study (F = 2.553; df = 4/202; P < 0.05), and examination grades (F = 3.488; df = 2/204; P < 0.05). The findings showed that female students are more empathetic than their male counterparts. Further, the post hoc Tukey test analysis revealed that Year-V students are more empathetic than their junior counterparts and students who got highest grade are more empathetic.
CONCLUSIONS: To improve the empathy level of the UPNM medical students, appropriate educational strategies and interventions should be designed and implemented in the curriculum to inculcate, maintain, and enhance empathy.
Fulltext Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna

Haque MA, Saha D, Al-Bawri SS, Paul LC, Rahman MA, Alshanketi F, et al.

Heliyon, 2023 Sep;9(9):e19548.
PMID: 37809766 DOI: 10.1016/j.heliyon.2023.e19548

In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance the performance of LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number of techniques, including simulation, measurement, and a model of an RLC-equivalent circuit, are discussed in this article as ways to assess an antenna's suitability for the intended applications. The CST simulation gives the suggested antenna a reflection coefficient of -38.40 dB at 2.1 GHz and a bandwidth of 357 MHz (1.95 GHz-2.31 GHz) at a -10 dB level. With a dimension of 0.535λ0×0.714λ0, it is not only compact but also features a maximum gain of 6.9 dB, a maximum directivity of 7.67, VSWR of 1.001 at center frequency and a maximum efficiency of 89.9%. The antenna is made of a low-cost substrate, FR4. The RLC circuit, sometimes referred to as the lumped element model, exhibits characteristics that are sufficiently similar to those of the proposed Yagi antenna. We use yet another supervised regression machine learning (ML) technique to create an exact forecast of the antenna's frequency and directivity. The performance of machine learning (ML) models can be evaluated using a variety of metrics, including the variance score, R square, mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and mean squared logarithmic error (MSLE). Out of the seven ML models, the linear regression (LR) model has the lowest error and maximum accuracy when predicting directivity, whereas the ridge regression (RR) model performs the best when predicting frequency. The proposed antenna is a strong candidate for the intended UMTS LTE applications, as shown by the modeling results from CST and ADS, as well as the measured and forecasted outcomes from machine learning techniques.
Fulltext Polyphenols Targeting Oxidative Stress in Spinal Cord Injury: Current Status and Future Vision

Islam F, Bepary S, Nafady MH, Islam MR, Emran TB, Sultana S, et al.

Oxid Med Cell Longev, 2022;2022:8741787.
PMID: 36046682 DOI: 10.1155/2022/8741787

A spinal cord injury (SCI) occurs when the spinal cord is deteriorated or traumatized, leading to motor and sensory functions lost even totally or partially. An imbalance within the generation of reactive oxygen species and antioxidant defense levels results in oxidative stress (OS) and neuroinflammation. After SCI, OS and occurring pathways of inflammations are significant strenuous drivers of cross-linked dysregulated pathways. It emphasizes the significance of multitarget therapy in combating SCI consequences. Polyphenols, which are secondary metabolites originating from plants, have the promise to be used as alternative therapeutic agents to treat SCI. Secondary metabolites have activity on neuroinflammatory, neuronal OS, and extrinsic axonal dysregulated pathways during the early stages of SCI. Experimental and clinical investigations have noted the possible importance of phenolic compounds as important phytochemicals in moderating upstream dysregulated OS/inflammatory signaling mediators and axonal regeneration's extrinsic pathways after the SCI probable significance of phenolic compounds as important phytochemicals in mediating upstream dysregulated OS/inflammatory signaling mediators. Furthermore, combining polyphenols could be a way to lessen the effects of SCI.
Fulltext QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model

Rahman T, Khandakar A, Abir FF, Faisal MAA, Hossain MS, Podder KK, et al.

Comput Biol Med, 2022 Apr;143:105284.
PMID: 35180500 DOI: 10.1016/j.compbiomed.2022.105284

The reverse transcription-polymerase chain reaction (RT-PCR) test is considered the current gold standard for the detection of coronavirus disease (COVID-19), although it suffers from some shortcomings, namely comparatively longer turnaround time, higher false-negative rates around 20-25%, and higher cost equipment. Therefore, finding an efficient, robust, accurate, and widely available, and accessible alternative to RT-PCR for COVID-19 diagnosis is a matter of utmost importance. This study proposes a complete blood count (CBC) biomarkers-based COVID-19 detection system using a stacking machine learning (SML) model, which could be a fast and less expensive alternative. This study used seven different publicly available datasets, where the largest one consisting of fifteen CBC biomarkers collected from 1624 patients (52% COVID-19 positive) admitted at San Raphael Hospital, Italy from February to May 2020 was used to train and validate the proposed model. White blood cell count, monocytes (%), lymphocyte (%), and age parameters collected from the patients during hospital admission were found to be important biomarkers for COVID-19 disease prediction using five different feature selection techniques. Our stacking model produced the best performance with weighted precision, sensitivity, specificity, overall accuracy, and F1-score of 91.44%, 91.44%, 91.44%, 91.45%, and 91.45%, respectively. The stacking machine learning model improved the performance in comparison to other state-of-the-art machine learning classifiers. Finally, a nomogram-based scoring system (QCovSML) was constructed using this stacking approach to predict the COVID-19 patients. The cut-off value of the QCovSML system for classifying COVID-19 and Non-COVID patients was 4.8. Six datasets from three different countries were used to externally validate the proposed model to evaluate its generalizability and robustness. The nomogram demonstrated good calibration and discrimination with the area under the curve (AUC) of 0.961 for the internal cohort and average AUC of 0.967 for all external validation cohort, respectively. The external validation shows an average weighted precision, sensitivity, F1-score, specificity, and overall accuracy of 92.02%, 95.59%, 93.73%, 90.54%, and 93.34%, respectively.
Fulltext Design, Operation and Optimization of Constructed Wetland for Removal of Pollutant

Rahman ME, Bin Halmi MIE, Bin Abd Samad MY, Uddin MK, Mahmud K, Abd Shukor MY, et al.

Int J Environ Res Public Health, 2020 Nov 11;17(22).
PMID: 33187288 DOI: 10.3390/ijerph17228339

Constructed wetlands (CWs) are affordable and reliable green technologies for the treatment of various types of wastewater. Compared to conventional treatment systems, CWs offer an environmentally friendly approach, are low cost, have fewer operational and maintenance requirements, and have a high potential for being applied in developing countries, particularly in small rural communities. However, the sustainable management and successful application of these systems remain a challenge. Therefore, after briefly providing basic information on wetlands and summarizing the classification and use of current CWs, this study aims to provide and inspire sustainable solutions for the performance and application of CWs by giving a comprehensive review of CWs' application and the recent development of their sustainable design, operation, and optimization for wastewater treatment. To accomplish this objective, thee design and management parameters of CWs, including macrophyte species, media types, water level, hydraulic retention time (HRT), and hydraulic loading rate (HLR), are discussed. Besides these, future research on improving the stability and sustainability of CWs are highlighted. This article provides a tool for researchers and decision-makers for using CWs to treat wastewater in a particular area. This paper presents an aid for informed analysis, decision-making, and communication. The review indicates that major advances in the design, operation, and optimization of CWs have greatly increased contaminant removal efficiencies, and the sustainable application of this treatment system has also been improved.

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