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Fulltext Effectiveness of pictorial health warning on cigarette packages: a cross-sectional study in Sarawak, Malaysia

Rahman MM, Arif MT, Abd Razak MF, Suhaili MR, Tambi Z, Akoi C, et al.

Malays Fam Physician, 2015;10(3):19-26.
PMID: 27570604 MyJurnal

Introduction: Specific health warning placed on the tobacco product packages is considered as an effective and low-cost method for increasing the knowledge and awareness among the community. Thus, a study was conducted to assess the perception of pictorial health warnings (PHWs) against smoking among the adult rural population of Sarawak.
Methods: Cross-sectional data were collected from 10 villages in Kota Samarahan and Kuching Division by face to face interview using modified Global Adult Tobacco Survey questionnaire. Nonprobability sampling method was adopted to select the villages. All the households of the selected villages were visited and an adult member was selected randomly from each house irrespective of the sex. After missing value imputation, 1000 data were analysed using statistical software IBM SPSS 20.0 version.
Results: Analysis showed that 28.8% of the respondents were current smokers, 7.8% were past smokers and the rest were non-smokers. Six items of pictorial health warnings were evaluated with five point Likert’s scales for attractiveness, fearfulness and adequacy of the information. Analysis revealed that the majority of the respondents had perceived awareness on PHWs, but the smokers believed that this was not adequate to make them quit smoking. Only one-fifth (19.7%) of them reported that current pictorial health warnings were sufficient to motivate people to quit smoking.
Conclusion: Though the PHWs on cigarette packages are appealing, it is not sufficient as a reason to stop smoking. Thus, an approach using an integrated anti-tobacco public health programme should be focused into the specific targeted community

Matched MeSH terms: Software
Fulltext An Artificial Neural Network Based Analysis of Factors Controlling Particle Size in a Virgin Coconut Oil-Based Nanoemulsion System Containing Copper Peptide

Samson S, Basri M, Fard Masoumi HR, Abdul Malek E, Abedi Karjiban R

PLoS One, 2016;11(7):e0157737.
PMID: 27383135 DOI: 10.1371/journal.pone.0157737

A predictive model of a virgin coconut oil (VCO) nanoemulsion system for the topical delivery of copper peptide (an anti-aging compound) was developed using an artificial neural network (ANN) to investigate the factors that influence particle size. Four independent variables including the amount of VCO, Tween 80: Pluronic F68 (T80:PF68), xanthan gum and water were the inputs whereas particle size was taken as the response for the trained network. Genetic algorithms (GA) were used to model the data which were divided into training sets, testing sets and validation sets. The model obtained indicated the high quality performance of the neural network and its capability to identify the critical composition factors for the VCO nanoemulsion. The main factor controlling the particle size was found out to be xanthan gum (28.56%) followed by T80:PF68 (26.9%), VCO (22.8%) and water (21.74%). The formulation containing copper peptide was then successfully prepared using optimum conditions and particle sizes of 120.7 nm were obtained. The final formulation exhibited a zeta potential lower than -25 mV and showed good physical stability towards centrifugation test, freeze-thaw cycle test and storage at temperature 25°C and 45°C.

Matched MeSH terms: Software
Fulltext ROC analysis of MAMMEX and SOUNDEX — expert systems for the diagnoses of breast diseases

Ngah, U.K., Aziz, S.A., Aziz, M.E., Murad, M., Mahdi, N.M.N., Shakaff, A.Y.M., et al.

ASM Science Journal, 2008;2(1):1-11.
MyJurnal

The incidences of breast cancer have been rising at an alarming rate. Mass breast screening programmes involving mammography and ultrasound in certain parts of the world have also proven their benefits in early detection. However, radiologists may be confronted with increased workload. An attempt has been made in this paper to rectify part of the problems faced in this area. Expert systems based on the interpretation of mammographic and ultrasound images for classifying patient cases could be utilized by doctors (expert and non-expert) in screening. These softwares consist of MAMMEX (for mammogram) and SOUNDEX (for breast ultrasound) could be used to deduce cases according to Breast Imaging Recording and Data System (BI-RADS), based on patients’ history, physical and clinical assessment, mammograms and breast ultrasound images. A total of 179 retrospective cases from the Radiology Department, hospital of the University of Science Malaysia, Kubang Kerian, Kelantan were used in this study. A receiver operating characteristic (ROC) curve analysis was implemented, based on the usage of a two-class forced choice of classifying suspicious and malignant findings as positive with normal, benign and probably benign classified as negative. Results yielded an area under the curve (AUC) of 0.997 with the least standard error value of 0.003 for MAMMEX while an AUC of 0.996 with the least standard error of 0.004 was accomplished for SOUNDEX. A system which very closely simulated radiologists was also successfully developed in this study. The ROC curve analysis indicated that the expert systems developed were of high performance and reliability.

Matched MeSH terms: Software
Fulltext Factors affecting smoking Menthol brand cigarette among the adult population in Sarawak, Malaysia

Md Mizanur Rahman, Mohd Taha Arif, Mohd Fadzillah Abd Razak, Mohd Raili bin Suhaili, Zainab Tambi, Akoi, Cliffton, et al.

Malaysian Journal of Public Health Medicine, 2015;15(1):0-0.
MyJurnal

Menthol brand cigarette has been found to be linked with early initiation of smoking and addiction of nicotine. This study was designed to find out the factors associated with smoking menthol brand cigarettes among adult population in Sarawak. This was a cross-sectional study conducted among the adult population in Sarawak. Data were collected from ten villages in Kota Samarahan and Kuching Division by face to face interview using modified Global Adult Tobacco Survey questionnaire. Non-probability purposive sampling method was adopted to select the villages. All the households of the villages were visited, and an adult member was selected randomly from each household irrespective of sex. After missing value imputation, 1000 data sets were analysed using statistical software SPSS 19.0 version. Analysis showed that 28.8% of the respondents were current smokers, and 7.8% were past smokers. Among the smokers, 56.3% were habituated with menthol brand cigarette. Logistic regression analysis revealed that age at initiation of smoking before 15 years of age (OR=11. 68, 95% CI: 4.25, 32.10), smoking within five minutes of wake up from sleep (OR=3. 20, 95% CI: 1.35, 7.54), nature of job as business (OR=4. 81, 95% CI: 2.13, 10.86) and service holders (OR= 3.85, 95% CI: 2.07, 7.16) and family size 5 and above (OR=2. 22, 95% CI: 1.25, 3.94) appeared to be important determinants of smoking any menthol brand cigarette (p< 0.05). Menthol is a prominent design feature to attract and retain younger smokers. It does not necessarily make the transition from experimenting with cigarettes, but to encourage early smokers to become a confirmed smoker. So, anti-tobacco public health programme should focus on age-specific community approach.

Matched MeSH terms: Software
Fulltext Baseline adherence, socio-demographic, clinical, immunological, virological and anthropometric characteristics of 242 HIV positive patients on ART in Malaysia

Abiola, Abdulrahman Surajudeen, Lekhraj Rampal, Norlijah Othman, Faisal Ibrahim, Hayati Kadir@Shahar, Anuradha P. Radhakrishnan

Malaysian Journal of Medicine and Health Sciences, 2015;11(2):45-58.
MyJurnal

Adherence to antiretroviral therapy (ART) prevents disease progression, and the emergence of resistant mutations. It also reduces morbidity, and the necessity for more frequent, complicated regimens which are also relatively more expensive. Minimum adherence levels of 95% are required for treatment success. Poor adherence to treatment remains a stumbling block to the success of treatment programs. This generates major concerns about possible resistance of the human immunodeficiency virus (HIV) to the currently available ARVs. This paper aims to describe baseline results from a cohort of 242 Malaysian patients receiving ART within the context of an intervention aimed to improve adherence and treatment outcomes among patients initiating ART. A single-blinded Randomized Controlled Clinical Trial was conducted between January and December, 2014 in Hospital Sungai Buloh. Data on socio-demographic factors, clinical symptoms and adherence behavior of respondents was collected using modified, pre-validated Adult AIDS Clinical Trials Group (AACTG) adherence questionnaires. Baseline CD4 count, viral load, weight, full blood count, blood pressure, Liver function and renal profile tests were also conducted and recorded. Data was analyzed using SPSS version 22 and R software. Patients consisted of 215 (89%) males and 27 (11%) females. 117 (48%) were Malays, 98 (40%) were Chinese, 22 (9%) were Indians while 5 (2%) were of other ethnic minorities. The mean age for the intervention group was 32.1 ± 8.7 years while the mean age for the control group was 34.7 ± 9.5 years. Mean baseline adherence was 80.1 ± 19.6 and 85.1 ± 15.8 for the intervention and control groups respectively. Overall mean baseline CD4 count of patients was 222.97 ± 143.7 cells/mm³ while overall mean viral load was 255237.85 ± 470618.9. Patients had a mean weight of 61.55 ± 11.0 kg and 61.47 ± 12.3 kg in the intervention and control groups, respectively. Males account for about 90% of those initiating ART in the HIV clinic, at a relatively low CD4 count, high viral load and sub-optimal medication adherence levels at baseline.

Matched MeSH terms: Software
Fulltext Relation Between Periodontal Status and Pre-Cancerous Condition (Oral Lichen Planus): A Pilot Study

Rai NP, Kumar P, Mustafa SM, Divakar DD, Kheraif AA, Ramakrishnaiah R, et al.

Adv Clin Exp Med, 2016 Jul-Aug;25(4):763-6.
PMID: 27629852 DOI: 10.17219/acem/59014

BACKGROUND: Oral lichen planus (OLP) is a common chronic mucocutaneous disease mostly seen in middle aged and elderly females. Oral lichen planus can occur in different oral sites such as gingiva, labial, buccal mucosa and on the tongue. And can have an indirect effect on initiating periodontitis.
OBJECTIVES: The purpose of the study was to evaluate the periodontal status of OLP patients and compare it with that of healthy controls. The presence of erosive lesions among gingival tissues makes oral hygiene procedures difficult to perform for obvious reasons. Plaque control and rigorous oral hygiene are primary requisites for the treatment of any oro-mucosal disease.
MATERIAL AND METHODS: Thirty patients with the erosive and reticular form of OLP as a study group and 30 healthy subjects as a control group were selected. The periodontal status of all subjects including gingival index (GI), Russell's periodontal index (PI) and bleeding on probing (BOP) were evaluated in both groups. Finally, the data was analyzed by a paired t-test using SPSS software v. 22.
RESULTS: The mean values of GI, PI and BOP were observed to be higher in the study group compared to the control group, and this was statistically significant (p < 0.05). The results shown are suggestive that periodontal status was poor in the study group as compared to the control group.
CONCLUSIONS: Further studies need to investigate periodontal status in oral lichen planus patients with larger sample size, and careful follow-up of these will assure an increase in the quality of life of these patients. The patient should be informed regarding the risk of periodontal problems in OLP and should be advised to have regular dental checkups to avoid a worsening of the conditio.
KEYWORDS: gingivitis; oral lichen planus; periodontitis; pre-cancerous condition

Matched MeSH terms: Software
Fulltext Synthesis, PASS-Predication and in Vitro Antimicrobial Activity of Benzyl 4-O-benzoyl-α-l-rhamnopyranoside Derivatives

Matin MM, Nath AR, Saad O, Bhuiyan MM, Kadir FA, Abd Hamid SB, et al.

Int J Mol Sci, 2016 Aug 27;17(9).
PMID: 27618893 DOI: 10.3390/ijms17091412

Benzyl α-l-rhamnopyranoside 4, obtained by both conventional and microwave assisted glycosidation techniques, was subjected to 2,3-O-isopropylidene protection to yield compound 5 which on benzoylation and subsequent deprotection of isopropylidene group gave the desired 4-O-benzoylrhamnopyranoside 7 in reasonable yield. Di-O-acetyl derivative of benzoate 7 was prepared to get newer rhamnopyranoside. The structure activity relationship (SAR) of the designed compounds was performed along with the prediction of activity spectra for substances (PASS) training set. Experimental studies based on antimicrobial activities verified the predictions obtained by the PASS software. Protected rhamnopyranosides 5 and 6 exhibited slight distortion from regular ¹C₄ conformation, probably due to the fusion of pyranose and isopropylidene ring. Synthesized rhamnopyranosides 4-8 were employed as test chemicals for in vitro antimicrobial evaluation against eight human pathogenic bacteria and two fungi. Antimicrobial and SAR study showed that the rhamnopyranosides were prone against fungal organisms as compared to that of the bacterial pathogens. Interestingly, PASS prediction of the rhamnopyranoside derivatives 4-8 were 0.49 < Pa < 0.60 (where Pa is probability 'to be active') as antibacterial and 0.65 < Pa < 0.73 as antifungal activities, which showed significant agreement with experimental data, suggesting rhamnopyranoside derivatives 4-8 were more active against pathogenic fungi as compared to human pathogenic bacteria thus, there is a more than 50% chance that the rhamnopyranoside derivative structures 4-8 have not been reported with antimicrobial activity, making it a possible valuable lead compound.

Matched MeSH terms: Software
Assessing agreement in measurements of orthodontic study models: Digital caliper on plaster models vs 3-dimensional software on models scanned by structured-light scanner

Wan Hassan WN, Othman SA, Chan CS, Ahmad R, Ali SN, Abd Rohim A

Am J Orthod Dentofacial Orthop, 2016 Nov;150(5):886-895.
PMID: 27871715 DOI: 10.1016/j.ajodo.2016.04.021

INTRODUCTION: In this study we aimed to compare measurements on plaster models using a digital caliper, and on 3-dimensional (3D) digital models, produced using a structured-light scanner, using 3D software.
METHODS: Fifty digital models were scanned from the same plaster models. Arch and tooth size measurements were made by 2 operators, twice. Calibration was done on 10 sets of models and checked using the Pearson correlation coefficient. Data were analyzed by error variances, repeatability coefficient, repeated-measures analysis of variance, and Bland-Altman plots.
RESULTS: Error variances ranged between 0.001 and 0.044 mm for the digital caliper method, and between 0.002 and 0.054 mm for the 3D software method. Repeated-measures analysis of variance showed small but statistically significant differences (P <0.05) between the repeated measurements in the arch and buccolingual planes (0.011 and 0.008 mm, respectively). There were no statistically significant differences between methods and between operators. Bland-Altman plots showed that the mean biases were close to zero, and the 95% limits of agreement were within ±0.50 mm. Repeatability coefficients for all measurements were similar.
CONCLUSIONS: Measurements made on models scanned by the 3D structured-light scanner were in good agreement with those made on conventional plaster models and were, therefore, clinically acceptable.

Matched MeSH terms: Software
Fulltext Mammographic compression in Asian women

Lau S, Abdul Aziz YF, Ng KH

PLoS One, 2017;12(4):e0175781.
PMID: 28419125 DOI: 10.1371/journal.pone.0175781

OBJECTIVES: To investigate: (1) the variability of mammographic compression parameters amongst Asian women; and (2) the effects of reducing compression force on image quality and mean glandular dose (MGD) in Asian women based on phantom study.
METHODS: We retrospectively collected 15818 raw digital mammograms from 3772 Asian women aged 35-80 years who underwent screening or diagnostic mammography between Jan 2012 and Dec 2014 at our center. The mammograms were processed using a volumetric breast density (VBD) measurement software (Volpara) to assess compression force, compression pressure, compressed breast thickness (CBT), breast volume, VBD and MGD against breast contact area. The effects of reducing compression force on image quality and MGD were also evaluated based on measurement obtained from 105 Asian women, as well as using the RMI156 Mammographic Accreditation Phantom and polymethyl methacrylate (PMMA) slabs.
RESULTS: Compression force, compression pressure, CBT, breast volume, VBD and MGD correlated significantly with breast contact area (p<0.0001). Compression parameters including compression force, compression pressure, CBT and breast contact area were widely variable between [relative standard deviation (RSD)≥21.0%] and within (p<0.0001) Asian women. The median compression force should be about 8.1 daN compared to the current 12.0 daN. Decreasing compression force from 12.0 daN to 9.0 daN increased CBT by 3.3±1.4 mm, MGD by 6.2-11.0%, and caused no significant effects on image quality (p>0.05).
CONCLUSIONS: Force-standardized protocol led to widely variable compression parameters in Asian women. Based on phantom study, it is feasible to reduce compression force up to 32.5% with minimal effects on image quality and MGD.

Matched MeSH terms: Software
Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

Ahmadi H, Gholamzadeh M, Shahmoradi L, Nilashi M, Rashvand P

Comput Methods Programs Biomed, 2018 Jul;161:145-172.
PMID: 29852957 DOI: 10.1016/j.cmpb.2018.04.013

BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is the inseparable nature of medicine, fuzzy logic methods have been used as one of the best methods to decrease this ambiguity. Recently, several kinds of literature have been published related to fuzzy logic methods in a wide range of medical aspects in terms of diagnosis. However, in this context there are a few review articles that have been published which belong to almost ten years ago. Hence, we conducted a systematic review to determine the contribution of utilizing fuzzy logic methods in disease diagnosis in different medical practices.
METHODS: Eight scientific databases are selected as an appropriate database and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was employed as the basis method for conducting this systematic and meta-analysis review. Regarding the main objective of this research, some inclusion and exclusion criteria were considered to limit our investigation. To achieve a structured meta-analysis, all eligible articles were classified based on authors, publication year, journals or conferences, applied fuzzy methods, main objectives of the research, problems and research gaps, tools utilized to model the fuzzy system, medical disciplines, sample sizes, the inputs and outputs of the system, findings, results and finally the impact of applied fuzzy methods to improve diagnosis. Then, we analyzed the results obtained from these classifications to indicate the effect of fuzzy methods in decreasing the complexity of diagnosis.
RESULTS: Consequently, the result of this study approved the effectiveness of applying different fuzzy methods in diseases diagnosis process, presenting new insights for researchers about what kind of diseases which have been more focused. This will help to determine the diagnostic aspects of medical disciplines that are being neglected.
CONCLUSIONS: Overall, this systematic review provides an appropriate platform for further research by identifying the research needs in the domain of disease diagnosis.

Matched MeSH terms: Software
Fulltext Classification of forensic autopsy reports through conceptual graph-based document representation model

Mujtaba G, Shuib L, Raj RG, Rajandram R, Shaikh K, Al-Garadi MA

J Biomed Inform, 2018 06;82:88-105.
PMID: 29738820 DOI: 10.1016/j.jbi.2018.04.013

Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results. The experimental results indicated that the CGDR technique achieved 12% to 15% improvement in accuracy compared with fully automated document representation baseline techniques. Moreover, two-level classification obtained better results compared with one-level classification. The promising results of the proposed conceptual graph-based document representation technique suggest that pathologists can adopt the proposed system as their basis for second opinion, thereby supporting them in effectively determining CoD.

Matched MeSH terms: Software
Fulltext Early warning and response system (EWARS) for dengue outbreaks: Recent advancements towards widespread applications in critical settings

Hussain-Alkhateeb L, Kroeger A, Olliaro P, Rocklöv J, Sewe MO, Tejeda G, et al.

PLoS One, 2018;13(5):e0196811.
PMID: 29727447 DOI: 10.1371/journal.pone.0196811

BACKGROUND: Dengue outbreaks are increasing in frequency over space and time, affecting people's health and burdening resource-constrained health systems. The ability to detect early emerging outbreaks is key to mounting an effective response. The early warning and response system (EWARS) is a toolkit that provides countries with early-warning systems for efficient and cost-effective local responses. EWARS uses outbreak and alarm indicators to derive prediction models that can be used prospectively to predict a forthcoming dengue outbreak at district level.
METHODS: We report on the development of the EWARS tool, based on users' recommendations into a convenient, user-friendly and reliable software aided by a user's workbook and its field testing in 30 health districts in Brazil, Malaysia and Mexico.
FINDINGS: 34 Health officers from the 30 study districts who had used the original EWARS for 7 to 10 months responded to a questionnaire with mainly open-ended questions. Qualitative content analysis showed that participants were generally satisfied with the tool but preferred open-access vs. commercial software. EWARS users also stated that the geographical unit should be the district, while access to meteorological information should be improved. These recommendations were incorporated into the second-generation EWARS-R, using the free R software, combined with recent surveillance data and resulted in higher sensitivities and positive predictive values of alarm signals compared to the first-generation EWARS. Currently the use of satellite data for meteorological information is being tested and a dashboard is being developed to increase user-friendliness of the tool. The inclusion of other Aedes borne viral diseases is under discussion.
CONCLUSION: EWARS is a pragmatic and useful tool for detecting imminent dengue outbreaks to trigger early response activities.

Matched MeSH terms: Software
Modified-BRISQUE as no reference image quality assessment for structural MR images

Chow LS, Rajagopal H

Magn Reson Imaging, 2017 11;43:74-87.
PMID: 28716679 DOI: 10.1016/j.mri.2017.07.016

An effective and practical Image Quality Assessment (IQA) model is needed to assess the image quality produced from any new hardware or software in MRI. A highly competitive No Reference - IQA (NR - IQA) model called Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) initially designed for natural images were modified to evaluate structural MR images. The BRISQUE model measures the image quality by using the locally normalized luminance coefficients, which were used to calculate the image features. The modified-BRISQUE model trained a new regression model using MR image features and Difference Mean Opinion Score (DMOS) from 775 MR images. Two types of benchmarks: objective and subjective assessments were used as performance evaluators for both original and modified-BRISQUE models. There was a high correlation between the modified-BRISQUE with both benchmarks, and they were higher than those for the original BRISQUE. There was a significant percentage improvement in their correlation values. The modified-BRISQUE was statistically better than the original BRISQUE. The modified-BRISQUE model can accurately measure the image quality of MR images. It is a practical NR-IQA model for MR images without using reference images.

Matched MeSH terms: Software
On the integral use of foundational concepts in verifying validity during skull-photo superimposition

Jayaprakash PT

Forensic Sci Int, 2017 Sep;278:411.e1-411.e8.
PMID: 28754256 DOI: 10.1016/j.forsciint.2017.04.021

Often cited reliability test on video superimposition method integrated scaling face-images in relation to skull-images, tragus-auditory meatus relationship in addition to exocanthion-Whitnall's tubercle relationship when orientating the skull-image and wipe mode imaging in addition to mix mode imaging when obtaining skull-face image overlay and evaluating the goodness of match. However, a report that found higher false positive matches in computer assisted superimposition method transited from the above foundational concepts and relied on images of unspecified sizes that are lesser than 'life-size', frontal plane landmarks in the skull- and face- images alone for orientating the skull-image and mix images alone for evaluating the goodness of match. Recently, arguing the use of 'life-size' images as 'archaic', the authors who tested the reliability in the computer assisted superimposition method have denied any method transition. This article describes that the use of images of unspecified sizes at lesser than 'life-size' eliminates the only possibility to quantify parameters during superimposition which alone enables dynamic skull orientation when overlaying a skull-image with a face-image in an anatomically acceptable orientation. The dynamic skull orientation process mandatorily requires aligning the tragus in the 2D face-image with the auditory meatus in the 3D skull-image for anatomically orientating the skull-image in relation to the posture in the face-image, a step not mentioned by the authors describing the computer assisted superimposition method. Furthermore, mere reliance on mix type images during image overlay eliminates the possibility to assess the relationship between the leading edges of the skull- and face-image outlines as also specific area match among the corresponding craniofacial organs during superimposition. Indicating the possibility of increased false positive matches as a consequence of the above method transitions, the need for testing the reliability in the superimposition method adopting concepts that are considered safe is stressed.

Matched MeSH terms: Software
HAART induces cell death in a cervical cancer cell line, HCS-2: A Scanning Electron Microscopy study

Xulu KR, Hosie MJ

J Microsc Ultrastruct, 2016 06 17;5(1):39-48.
PMID: 30023236 DOI: 10.1016/j.jmau.2016.06.001

Apoptosis is a tightly programmed cell suicide which occurs in multiple physiologic and pathological conditions where it plays an important role in tissue development and homeostasis by eliminating unwanted and damaged cells. Appropriate apoptosis signalling is crucial in maintaining the fine balance between cell death and cell survival in cancer. In response to death stimuli the morphology of the cell undergoes unique changes. The aim of this study was to examine and compare the changes in the cell surface morphology using scanning electron microscopy in HCS-2 cells, following 24 hour treatment with components of highly active antiretroviral therapy (HAART) at their clinical plasma concentrations. The cells were fixed in 2.5% Glutaraldehyde and post-fixed in 1% osmium tetroxide. The cells were then dehydrated through a graded series of alcohol and treated with hexamethyl-disilazane, then coated with a double layer of carbon. The cells were viewed under a Zeiss Ultra FEG Scanning Electron Microscope and a one way ANOVA and Tukey Kramer Post Hoc test was conducted based on the scoring of surface morphology of the cells using JMP 11 statistical software. The drugs used in this study induced morphological features which are known to be characteristic of apoptotic cell death. The drug combinations (ATP and LPV/r) were seemingly more effective than individual treatments in inducing cell death because morphological features observed were more advanced than those observed in individual treatments. However, LPV/r was more potent than ATP. In conclusion, HAART showed anticancer properties by inducing cell death through apoptosis.

Matched MeSH terms: Software
Highly deleterious variations in COX1, CYTB, SCG5, FK2, PRL and PGF genes are the potential adaptation of the immigrated African ostrich population

Al-Shuhaib MBS, Al-Kafajy FR, Badi MA, AbdulAzeez S, Marimuthu K, Al-Juhaishi HAI, et al.

Comput Biol Med, 2018 09 01;100:17-26.
PMID: 29960146 DOI: 10.1016/j.compbiomed.2018.06.019

Because of variable inconvenient living conditions in some places around the world, it is difficult to collect reliable physiological data for ostriches. Therefore, this study aims to provide a comprehensive in silico insight for the nature of polymorphism of important genetic loci that are related to physiological and reproductive traits. Sixty-nine mature ostriches ranging over half of Iraq were screened. Six exonic genetic loci, including cytochrome c oxidase I (COX1), cytochrome b (CYTB), secretogranin V (SCG5), feather keratin 2-like (FK2), prolactin (PRL) and placenta growth factor (PGF) were genotyped by PCR-single stranded conformation polymorphism (SSCP). Thirty-six novel SNPs, including seventeen nonsynonymous (ns) SNPs, were observed. Several computational software programs were utilized to assess the extent of the nsSNPs on their corresponding proteins structure, function and stability. The results showed several deleterious functional and stability changes in almost all the proteins studied. The total severity of each missense mutation was evaluated and compared with other nsSNPs accumulatively. It is evident from the extensive cumulative in silico computation that both p.E34D and p.E60K in PGF have the highest deleterious effect. The cumulative predictions from the present study are an impressive guide for the genotypes of African ostriches, which bypassed the expensive protocols for wet laboratory screening, to identify the effects of variants. To the best of our knowledge, this is the first investigation of its kind on the analyses and prediction outcome of missense mutations in African ostrich populations. The highly deleterious nsSNPs in the placenta growth factor are possible adaptive mutations which might be associated with adaptation in extreme and new environments. The flow and protocol of the computational predictions can be extended for various wild animals to identify the molecular nature of adaptations.

Matched MeSH terms: Software
Fulltext Rapid Determination of Major Compounds in the Ethanol Extract of Geopropolis from Malaysian Stingless Bees, Heterotrigona itama, by UHPLC-Q-TOF/MS and NMR

Zhao L, Yu M, Sun M, Xue X, Wang T, Cao W, et al.

Molecules, 2017 Nov 10;22(11).
PMID: 29125569 DOI: 10.3390/molecules22111935

A reliable, rapid analytical method was established for the characterization of constituents of the ethanol extract of geopropolis (EEGP) produced by Malaysian stingless bees-Heterotrigona itama-by combining ultra-high-performance liquid chromatography with quadruple time-of-flight mass spectrometry (UHPLC-Q-TOF/MS). Based on known standards, the online METLIN database, and published literature, 28 compounds were confirmed. Phenolic acids, flavones, triterpenes and phytosterol were identified or tentatively identified using characteristic diagnostic fragment ions. The results indicated that terpenoids were the main components of EEGP, accompanied by low levels of phenolic acids, flavonoids, and phytosterol. Two major components were further purified by preparative high-performance liquid chromatography (PHPLC) and identified by nuclear magnetic resonance (NMR) as 24(E)-cycloart-24-ene-26-ol-3-one and 20-hydroxy-24-dammaren-3-one. These two triterpenes, confirmed in this geopropolis for the first time, are potential chemical markers for the identification of geopropolis from Malaysian stingless bees, H. itama.

Matched MeSH terms: Software
Algorithms that eliminate the effects of calibration artefact and trial-imposed offsets of Masimo oximeter in BOOST-NZ trial

Zahari M, Lee DS, Darlow BA

J Clin Monit Comput, 2016 Oct;30(5):669-78.
PMID: 26282827 DOI: 10.1007/s10877-015-9752-1

The displayed readings of Masimo pulse oximeters used in the Benefits Of Oxygen Saturation Targeting (BOOST) II and related trials in very preterm babies were influenced by trial-imposed offsets and an artefact in the calibration software. A study was undertaken to implement new algorithms that eliminate the effects of offsets and artefact. In the BOOST-New Zealand trial, oxygen saturations were averaged and stored every 10 s up to 36 weeks' post-menstrual age. Two-hundred and fifty-seven of 340 babies enrolled in the trial had at least two weeks of stored data. Oxygen saturation distribution patterns corresponding with a +3 % or -3 % offset in the 85-95 % range were identified together with that due to the calibration artefact. Algorithms involving linear and quadratic interpolations were developed, implemented on each baby of the dataset and validated using the data of a UK preterm baby, as recorded from Masimo oximeters with the original software and a non-offset Siemens oximeter. Saturation distributions obtained were compared for both groups. There were a flat region at saturations 85-87 % and a peak at 96 % from the lower saturation target oximeters, and at 93-95 and 84 % respectively from the higher saturation target oximeters. The algorithms lowered the peaks and redistributed the accumulated frequencies to the flat regions and artefact at 87-90 %. The resulting distributions were very close to those obtained from the Siemens oximeter. The artefact and offsets of the Masimo oximeter's software had been addressed to determine the true saturation readings through the use of novel algorithms. The implementation would enable New Zealand data be included in the meta-analysis of BOOST II trials, and be used in neonatal oxygen studies.

Matched MeSH terms: Software
Risk association, linkage disequilibrium and haplotype analyses of FASN rs4246445, rs2229425, rs2228305 and rs2229422 polymorphisms in overweight and obesity

Chong ETJ, Kuok SSE, Lee PC

Bioimpacts, 2018;8(3):159-165.
PMID: 30211075 DOI: 10.15171/bi.2018.18

Introduction:
Obesity is commonly linked up with several life-threatening diseases. This study aims to investigate the association of fatty acid synthase (FASN) rs4246445, rs2229425, rs2228305, and rs2229422 single nucleotide polymorphisms (SNPs) with the risk of overweight and obesity in the Malaysian population.
Methods:
Blood samples were collected from 1030 individuals who were grouped into normal, overweight, and obese categories. Blood biochemistry test and lipid profiling were performed and genomic DNA was extracted. Genotyping was performed using hydrolysis probes and odd ratio with 95% CI was calculated for risk association analysis. Linkage disequilibrium and haplotypes analyses were carried out using SHEsis software.
Results:
We found that the hemoglobin and white blood cell counts were significantly high in the obese subjects. There is a lack of evidence to link the FASN SNPs with the risk of overweight and obesity in the population. All 4 SNPs were seemed to be in linkage equilibrium. Five common haplotypes were identified in this study but none of them was significantly associated with overweight and obesity in the population.
Conclusion:
Our findings suggest a lack of evidence to associate the FASN rs4246445, rs2229425, rs2228305, and rs2229422 SNPs with the risk of overweight and obesity in the Malaysian population. All 4 SNPs were independent of each other and not all identified haplotypes were significantly associated with overweight and obesity in this study.

Matched MeSH terms: Software
Fulltext Associations between demographic characteristics and resilience factors: a self-report survey

Salizar Mohamed Ludin

International Journal of Care Scholars, 2018;1(1):22-28.
MyJurnal

Objective: In 2014, Malaysia suffered a severe flood disaster and many people lost their home and belongings. Despite regular flooding in this area, the status of community disaster resilience (CDR) is unknown. This paper thus aims to assess the association between demographic characteristics and community disaster resilience factors.

Methods: A cross-sectional study was completed using the Conjoint Community Resiliency Assessment Measure (CCRAM28) questionnaire six months after the flood event occurred. All selected respondents who met the inclusion criteria were recruited, and IBM SPSS software was used to undertake descriptive and inferential analysis.

Results: A total of 386 respondents completed the questionnaires. Respondents were mostly female (57%); married (83.9%); with children under 17 years old (58.8%); from villages or rural area (97.2%); living in basic housing (95.6%); of average income; Muslim (97.5%); educated to primary or secondary level (81.1%); and not involved with any community organizations (95.1%), including volunteering, emergency teams, or military service. The mean age was 49 years, and length of time living in the area ranged from 1 to 85 years. CDR scores ranged between medium (2.34- 3.66) and high (3.67- 5.00). An analysis of the results showed that only gender (p = 0.003) and education (p = 0.001) were significantly related to CDR level. Positive and strong correlations were seen between resilience factors, however, particularly leadership (p = 0.001), collective efficacy (p = 0.001); preparedness (p = 0.001); place attachment (p = 0.001); and social trust (p = 0.001).

Conclusion: The study provides a timely insight into the impact of demographic characteristics and resilience factors in Kelantan, developing the knowledge base needed to create comprehensive, improved community-relevant strategies for the future. This assessment enables top-down initiatives to better understand resilience levels, and this could act as tool to enable the government to prepare communities for future disasters or emergency events.

Matched MeSH terms: Software

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