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Fulltext Preliminary Study of Memory Enhancement of USIM Students with Internet Addiction Disorder by the Effect of Quran Therapy in Terms of EEG Power Spectra

Saleh, N. N., Tamam, S.

Physics and Technology in Medicine, 2020;1(1):45-51.
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The advancement of internet nowadays have drives the university students place great reliance on the internet for almost all matter. However, if the internet is heavily used, it may have a detrimental effect which could contribute to an Internet Addiction Disorders (IAD) among university students. IAD could create problem in developing relationships like normal people and appear to have low quality of memory. Thus, this is definitely not good to students. Knowing that by listening to Quran verse has a potential to improve the memory, hence this study is carried out. The study utilized a brain-computer interface Emotiv EPOC+, multichannel electroencephalography (EEG) detection during dual N-back tasks (spatial and verbal) where subjects were given with load level from 2-back to 3-back. Five (5) out of two hundred (200) participants of USIM’s students (20-23 years old) were recruited to continue with the brain scan experiment after getting a high score which indicated their severe level of addiction in a screening addiction test, Young’s Internet Addiction Test. Subjects were administered with a pre‐ and post‐tests to analyze and evaluate the effects of implementing Quran listening in their dailies for two months. The behavioral assessment exhibited accuracy increment between pre- and post- tests by 13.4% from 9.4%. While the EEG power value showed there were significant differences (p=0.002) in brainwaves between the pre- and the post- tests for 2 back; as the dominant brainwave found at the frontal and prefrontal cortex for delta and theta bands. The research revealed that the theta power band presented as the most dominant brain wave associated with N-back task for the enhancement of working memory which influence by the listening to Surah in Al-Quran.
Surfactant-functionalised magnetic ferum oxide coupled with high performance liquid chromatography for the extraction of phenol

Beh SY, Md Saleh N, Asman S

Anal Methods, 2021 02 07;13(5):607-619.
PMID: 33480366 DOI: 10.1039/d0ay02166k

The usage of phenols in the marketplace has been increasing tremendously, which has raised concerns about their toxicity and potential effect as emerging pollutants. Phenol's structure has closely bonded phenyl and hydroxy groups, thereby making its functional characteristics closely similar to that of alcohol. As a result, phenol is used as a base compound for commercial home-based products. Hence, a simple and efficient procedure is required to determine the low concentration of phenols in environmental water samples. In this research, a method of combining magnetic nanoparticles (MNPs) with surfactant Sylgard 309 was developed to overcome the drawbacks in the classical extraction methods. In addition, this developed method improved the performance of extraction when MNPs and the surfactant Sylgard 309 were used separately, as reported in the previous research. This MNP-Sylgard 309 was synthesised by the coprecipitation method and attracts phenolic compounds in environmental water samples. Response surface methodology was used to study the parameters and responses in order to obtain an optimised condition using MNP-Sylgard 309. The parameters included the effect of pH, extraction time, and concentration of the analyte. Meanwhile, the responses measured were the peak area of the chromatogram and the percentage recovery. From this study, the results of the optimum conditions for extraction using MNP-Sylgard 309 were pH 7, extraction time of 20 min, and analyte concentration of 10.0 μg mL-1. Under the optimized conditions, MNP-Sylgard 309 showed a low limit of detection of 0.665 μg mL-1 and the limit of quantification was about 2.219 μg mL-1. MNP-Sylgard 309 was successfully applied on environmental water samples such as lake and river water. High recovery (76.23%-110.23%) was obtained.
Fulltext Designing Health Benefits Policies In Malaysia (EnPHC): A Country Assessment Report

Mohd Saleh N, Nasir NH, Ibrahim NI

Citation: Mohd Saleh N, Nasir NH, Ibrahim NI. Designing Health Benefits Policies In Malaysia (ENPHC): A Country Assessment Report. Putrajaya: Joint Learning Network for Universal Health Coverage; 2018
Optimization of a greener method for removal phenol species by cloud point extraction and spectrophotometry

Zain NN, Abu Bakar NK, Mohamad S, Saleh NM

Spectrochim Acta A Mol Biomol Spectrosc, 2014 Jan 24;118:1121-8.
PMID: 24161875 DOI: 10.1016/j.saa.2013.09.129

A greener method based on cloud point extraction was developed for removing phenol species including 2,4-dichlorophenol (2,4-DCP), 2,4,6-trichlorophenol (2,4,6-TCP) and 4-nitrophenol (4-NP) in water samples by using the UV-Vis spectrophotometric method. The non-ionic surfactant DC193C was chosen as an extraction solvent due to its low water content in a surfactant rich phase and it is well-known as an environmentally-friendly solvent. The parameters affecting the extraction efficiency such as pH, temperature and incubation time, concentration of surfactant and salt, amount of surfactant and water content were evaluated and optimized. The proposed method was successfully applied for removing phenol species in real water samples.
Fulltext Optimal Culture Conditions for Mycelial Growth of Lignosus rhinocerus

Lai WH, Siti Murni MJ, Fauzi D, Abas Mazni O, Saleh NM

Mycobiology, 2011 Jun;39(2):92-5.
PMID: 22783083 DOI: 10.4489/MYCO.2011.39.2.092

Lignosus rhinocerus is a macrofungus that belongs to Polyporaceae and is native to tropical regions. This highly priced mushroom has been used as folk medicine to treat diseases by indigenous people. As a preliminary study to develop a culture method for edible mushrooms, the cultural characteristics of L. rhinocerus were investigated in a range of culture media under different environmental conditions. Mycelial growth of this mushroom was compared on culture media composed of various carbon and nitrogen sources in addition to C/N ratios. The optimal conditions for mycelial growth were 30℃ at pH 6 and 7. Rapid mycelial growth of L. rhinocerus was observed on glucose-peptone and yeast extract peptone dextrose media. Carbon and nitrogen sources promoting mycelial growth of L. rhinocerus were glucose and potassium nitrate, respectively. The optimum C/N ratio was approximately 10 : 1 using 2% glucose supplemented as a carbon source in the basal media.
Fulltext Cucurbituril Ameliorates Liver Damage Induced by Microcystis aeruginosa in a Mouse Model

Saleh N, Al-Jassabi S, Eid AH, Nau WM

Front Chem, 2021;9:660927.
PMID: 33937198 DOI: 10.3389/fchem.2021.660927

Microcystis aeruginosa is a cyanobacterium that produces a variety of cyclic heptapeptide toxins in freshwater. The protective effects of the macromolecular container cucurbit[7]uril (CB7) were evaluated using mouse models of cyanotoxin-induced liver damage. Biochemical analysis of liver function was performed to gauge the extent of liver damage after exposure to cyanobacterial crude extract [CCE; LD50 = 35 mg/kg body weight; intraperitoneal (i.p.)] in the absence or presence of CB7 (35 mg/kg body weight, i.p.). CCE injection resulted in liver enlargement, potentiated the activities of alanine aminotransferase (ALT) and glutathione S-transferase (GST), increased lipid peroxidation (LPO), and reduced protein phosphatase 1 (PP1) activity. CCE-induced liver enlargement, ALT and GST activities, and LPO were significantly reduced when CB7 was coadministered. Moreover, the CCE-induced decline of PP1 activity was also ameliorated in the presence of CB7. Treatment with CB7 alone did not affect liver function, which exhibited a dose tolerance of 100 mg/kg body wt. Overall, our results illustrated that the addition of CB7 significantly reduced CCE-induced hepatotoxicity (P < 0.05).
Fulltext A study on the removal of propyl, butyl, and benzyl parabens via newly synthesised ionic liquid loaded magnetically confined polymeric mesoporous adsorbent

Md Yusoff M, Yahaya N, Md Saleh N, Raoov M

RSC Adv, 2018 Jul 16;8(45):25617-25635.
PMID: 35539765 DOI: 10.1039/c8ra03408g

This study investigated the effectiveness of ionic liquids (ILs) loaded onto the surface of a polymeric adsorbent (βCD-TDI) grafted with modified magnetic nanoparticles (MNPs) via an analysis of water treatment, which resulted in high removal of selected endocrine-disrupting chemicals (parabens). The syntheses of MNPs, MNP-βCD-TDI, and IL-MNP-βCD-TDI were characterised and compared using Fourier transform infrared (FT-IR) spectroscopy, carbon-hydrogen-nitrogen (CHN) analysis, vibrating sample magnetometry (VSM), scanning electron microscopy (SEM), transmission electron microscopy (TEM), the Brunauer-Emmett-Teller (BET) method, thermogravimetric analysis (TGA), and X-ray diffraction (XRD). The results of SEM and TEM indicated that the pore size distribution exhibited mesoporous characteristics with a small surface area (BET analysis: 42.95 m2 g-1). Furthermore, a preliminary sorption experiment demonstrated the ability of IL-MNP-βCD-TDI to enhance not only the sorption capacity, but also the removal of propyl paraben (PP), butyl paraben (BP), and benzyl paraben (ArP). The adsorption process appeared to be pH-dependent, and hence the optimum pH of 6 was selected for a subsequent batch adsorption study of all the studied parabens with an equilibrium time of 80 min. Next, in an attempt to investigate the interactions that occur between the adsorbent and the adsorbates, adsorption kinetics and isotherm studies were performed. All the studied parabens were found to best fit pseudo-second-order kinetics and the Freundlich isotherm with R 2 > 0.98 at room temperature (298 K). The interaction of the host-guest inclusion complex and the π-π interaction between βCD and a selected paraben compound (ArP) were identified by performing 1H nuclear magnetic resonance (NMR), together with ultraviolet-visible (UV-vis) spectroscopic analysis. Finally, the adsorption efficiency of the developed material was practically tested on tap water, drain water, and industrial wastewater, which revealed a significant removal of parabens of up to 60-90% in comparison with a prior analysis.
Review of chitosan composite as a heavy metal adsorbent: Material preparation and properties

Begum S, Yuhana NY, Md Saleh N, Kamarudin NHN, Sulong AB

Carbohydr Polym, 2021 May 01;259:117613.
PMID: 33673980 DOI: 10.1016/j.carbpol.2021.117613

A large amount of wastewater is typically discharged into water bodies and has extremely harmful effects to aquatic environments. The removal of heavy metals from water bodies is necessary for the safe consumption of water and human activities. The demand for seafood has considerably increased, and millions of tons of crustacean waste are discarded every year. These waste products are rich in a natural biopolymer known as chitin. The deacetylated form of chitin, chitosan, has attracted attention as an adsorbent. It is a biocompatible and biodegradable polymer that can be modified and converted to various derivatives. This review paper focuses on relevant literature on strategies for chemically modifying the biopolymer and its use in the removal of heavy metals from water and wastewater. The different aspects of chitosan-based derivatives and their preparation and application are elucidated. A list of chitosan-based composites, along with their adsorptivity and experimental conditions, are compiled.
Fulltext Molecular phylogenetic analysis of wild Tiger’s milk mushroom (Lignosus rhinocerus) collected from Pahang, Malaysia and its nutritional value and toxic metal content

Lai WH, Loo SS, Rahmat N, Shaharuddin S, Daud F, Zamri Z, et al.

International Food Research Journal, 2013;20(5):2301-2307.
MyJurnal

Tiger’s Milk mushroom has been used for medicinal purposes by local aborigines to treat asthma, breast cancer, cough, fever and food poisoning. Molecular phylogenetic analysis utilizing RNA polymerase II, second largest subunit (RPB2) gene, identified the wild Tiger’s Milk mushrooms collected from the state of Pahang in Malaysia for this study as Lignosus rhinocerus in the order Polyporales. The tuber, stipe and pileus of this mushroom were analyzed for their basic nutritional composition (fat, protein, and carbohydrate) and toxic metal content profile (Cadmium, Lead and Mercury). The moisture content of these mushroom parts varied from 32.22% (pileus) – 46.31% (stipe). The dry matter of the mushrooms contained 2.76% (stipe) – 6.60% (pileus) proteins, 0.21% (pileus) – 0.30% (tuber) fat, 1.76% (stipe) – 4.38% (tuber) ash and 38.47% (stipe) – 56.30% (pileus) carbohydrates. The toxic metal content of the mushroom samples ranged from 0.03–0.12 mg/kg for Cd, 0.80–1.94 mg/kg for Pb and 0.05–0.10 mg/kg for Hg. The present study demonstrated that L. rhinocerus is a potential source of food due to its high carbohydrate content. In addition, the trace levels of toxic metals in this mushroom are within the safe level for consumption.
Dosimetric features and kinetic parameters of a glass system dosimeter

Mhareb MHA, Alajerami YSM, Alqahtani M, Alshahri F, Saleh N, Alonizan N, et al.

Luminescence, 2020 Jun;35(4):525-533.
PMID: 31883298 DOI: 10.1002/bio.3761

Lithium borate (LB) glasses doped with dysprosium oxide (Dy2 O3 ) have been prepared by utilizing the conventional melt-quench technique. The prepared glass samples were exposed to 60 Co to check their dosimetric features and kinetic parameters. These features involve glow curves, annealing, fading, reproducibility, minimum detectable dose (MDD), and effective atomic number (Zeff ). Kinetic parameters including the frequency factors and activation energy were also determined using three methods (glow curve analysis, initial rise, and peak shape method) and were thoroughly interpreted. In addition, the incorporation of Dy impurities into LB enhanced the thermoluminescence sensitivity ~170 times. The glow from LB:Dy appeared as a single prominent peak at 190°C. The best annealing proceeding was obtained at 300°C for 30 min. Signal stability was reported for a period of 1 and 3 months with a reduction of 26% and 31%, respectively. The proposed glass samples showed promising dosimeter properties that can be recommended for personal radiation monitoring.
Fulltext Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer

Mehdy MM, Ng PY, Shair EF, Saleh NIM, Gomes C

Comput Math Methods Med, 2017;2017:2610628.
PMID: 28473865 DOI: 10.1155/2017/2610628

Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. The drawback of applying these techniques is the large time consumption in the manual diagnosis of each image pattern by a professional radiologist. Automated classifiers could substantially upgrade the diagnosis process, in terms of both accuracy and time requirement by distinguishing benign and malignant patterns automatically. Neural network (NN) plays an important role in this respect, especially in the application of breast cancer detection. Despite the large number of publications that describe the utilization of NN in various medical techniques, only a few reviews are available that guide the development of these algorithms to enhance the detection techniques with respect to specificity and sensitivity. The purpose of this review is to analyze the contents of recently published literature with special attention to techniques and states of the art of NN in medical imaging. We discuss the usage of NN in four different medical imaging applications to show that NN is not restricted to few areas of medicine. Types of NN used, along with the various types of feeding data, have been reviewed. We also address hybrid NN adaptation in breast cancer detection.
Fulltext Cross-cultural adaptation and exploratory factor analysis of the Person-centred Practice Inventory - Staff (PCPI-S) questionnaire among Malaysian primary healthcare providers

Balqis-Ali NZ, Saw PS, Jailani AS, Fun WH, Mohd Saleh N, Tengku Bahanuddin TPZ, et al.

BMC Health Serv Res, 2021 Jan 07;21(1):32.
PMID: 33413325 DOI: 10.1186/s12913-020-06012-9

BACKGROUND: The Person-centred Practice Inventory-Staff (PCPI-S) instrument was developed to measure healthcare providers' perception towards their person-centred practice. The study aimed to explore the influence of culture, context, language and local practice towards the PCPI-S instrument adaptation process for use among public primary care healthcare providers in Malaysia.
METHODS: The original PCPI-S was reviewed and adapted for cultural suitability by an expert committee to ensure conceptual and item equivalence. The instrument was subsequently translated into the local Malay language using the forward-backward translation by two independent native speakers, and modified following pre-tests involving cognitive debriefing interviews. The psychometric properties of the corresponding instrument were determined by assessing the internal consistency, test-retest reliability, and correlation of the instrument, while the underlying structure was analysed using exploratory factor analysis.
RESULTS: Review by expert committee found items applicable to local context. Pre-tests on the translated instrument found multiple domains and questions were misinterpreted. Many translations were heavily influenced by culture, context, and language discrepancies. Results of the subsequent pilot study found mean scores for all items ranged from 2.92 to 4.39. Notable ceiling effects were found. Internal consistency was high (Cronbach's alpha > 0.9). Exploratory factor analysis found formation of 11 components as opposed to the original 17 constructs.
CONCLUSION: The results of this study provide evidence regarding the reliability and underlying structure of the PCPI-S instrument with regard to primary care practice. Culture, context, language and local practice heavily influenced the adaptation as well as interpretation of the underlying structure and should be given emphasis when translating person-centred into practice.
A supply model for nurse workforce projection in Malaysia

Abas ZA, Ramli MR, Desa MI, Saleh N, Hanafiah AN, Aziz N, et al.

Health Care Manag Sci, 2018 Dec;21(4):573-586.
PMID: 28822005 DOI: 10.1007/s10729-017-9413-7

The paper aims to provide an insight into the significance of having a simulation model to forecast the supply of registered nurses for health workforce planning policy using System Dynamics. A model is highly in demand to predict the workforce demand for nurses in the future, which it supports for complete development of a needs-based nurse workforce projection using Malaysia as a case study. The supply model consists of three sub-models to forecast the number of registered nurses for the next 15 years: training model, population model and Full Time Equivalent (FTE) model. In fact, the training model is for predicting the number of newly registered nurses after training is completed. Furthermore, the population model is for indicating the number of registered nurses in the nation and the FTE model is useful for counting the number of registered nurses with direct patient care. Each model is described in detail with the logical connection and mathematical governing equation for accurate forecasting. The supply model is validated using error analysis approach in terms of the root mean square percent error and the Theil inequality statistics, which is mportant for evaluating the simulation results. Moreover, the output of simulation results provides a useful insight for policy makers as a what-if analysis is conducted. Some recommendations are proposed in order to deal with the nursing deficit. It must be noted that the results from the simulation model will be used for the next stage of the Needs-Based Nurse Workforce projection project. The impact of this study is that it provides the ability for greater planning and policy making with better predictions.
Facilitating equity and efficiency in Malaysian primary health care through the application of the ACG® case mix system. [Abstract]

Kamaliah MN, Jaafar S, Ehsan FZ, Safiee I, Ismail F, Mohd Saleh N, et al.

BMC Health Serv Res, 2009;9:A7.
DOI: 10.1186/1472-6963-9-S1-A7

Introduction. Malaysian health care is a parallel system with both public and private sectors. The MOH (Ministry of Health) is the main provider of health services in the country, delivering comprehensive medical, health, dental and pharmaceutical services at primary, secondary and tertiary levels of care. The public health services are heavily subsidized by the government. The practice of financial distribution within the Ministry of Health of Malaysia has traditionally been dependent on historical information, i.e., looking at past performance. Any additional increment has been based on arbitrary predictions of the consumer index or inflation. A more appropriate distribution would be based not only on the volume of patients, but also on the morbidity profiles of these populations. Because of the development of the TPC (Tele-Primary Care) electronic system, considerable data is now collected, and there exists a vast potential for data-mining. One potential area of study is to account for the differences in the health status of populations and their anticipated need for healthcare services. An earlier project demonstrated that the TPC dataset provides viable data that can be used for understanding differences in case mix and resource need by various population sub-groups. This was the first step in a multi-stage process to demonstrate the benefits of integrating case mix into the Malaysian healthcare system. As a result of the first project, an increased understanding of the TPC database was gained, which is providing usable data. However, to make full and effective use of TPC, a resource-use measure based on micro-costing information needed to be developed and validated. This project evaluated the plausibility of recently developed cost measures. This new resource-use measure would enable a clearer understanding of the resource consumption based on the morbidity profile of populations across regions, as well as individual clinics.
Methods. The primary sources of data for this project came from public, primary care clinics using the TPC system; an alternative electronic system; a small group practice of private primary care clinics using a separate electronic system; and the network of a private medical insurance group with nationwide enrollees. The objective of the project was, first, to take the analyses a step further by incorporating new data input streams from private providers, and then to validate that the newly developed micro-costing information was meaningful. In addition, the project sought to assess the ability to link patient information across different providers, re-analyze the results from Phase 1 using the new resource measure, and then develop a program targeted at improving data quality. Lastly, the aim was to compare differences in service delivery patterns between TPC facilities and providers to assess the efficiency of resource use.
Results. a) The success of the coding-quality training programs to ensure continually improved data quality in TPC over time was demonstrated. The data quality is sufficiently high to create more sophisticated models. Models to identify "high risk" patients or "high cost" patients are already possible.
b) The ACG system has been proven to work with Malaysian TPC data, and the micro-costing data works for the TPC population and allows us to better understand differences in resource allocation/need. The 2008 Total Visits model is extremely predictive. However, the cost data for health clinics needs to be improved before the Total Cost can be used to predict costs with the same predictive ability as the Total Visit models.
c) The analyses of the UPIN's (Unique Patient Identification Number) ability to link data to better capture the services being provided from multiple providers show that existing challenges are surmountable. A better understanding of the differences in service delivery in public vs. private sectors is imperative before a national capitation scheme is possible.
d) The profiling of providers on a regional basis as the initial step to determining the viability of a morbidity-based capitation formula was successful.
Conclusions. The initial project successfully demonstrated the ability of Malaysia to apply readily available diagnostic and other clinical information to develop state-of-the-art case-mix measures relevant to medical and fiscal management activities using the TPC database. It also offered an example of how risk adjustment tools can be used to monitor the TPC data collection process. The ACG system has been proven to work with Malaysian data, and it works very well for Total Visits where they can now be used to predict Total Visits with a very high certainty. Where the data quality has improved, the predictive modeling has improved in tandem. The data quality is sufficiently high to create more sophisticated models. Models to identify “high risk” patients or “high cost” patients are already possible.

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