Displaying publications 41 - 60 of 183 in total

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  1. Hassan H, Jin B, Dai S
    Environ Technol, 2021 Apr 01.
    PMID: 33749543 DOI: 10.1080/09593330.2021.1907451
    The interactions within microbial, chemical and electronic elements in microbial fuel cell (MFC) system can be crucial for its bio-electrochemical activities and overall performance. Therefore, this study explored polynomial models by response surface methodology (RSM) to better understand interactions among anode pH, cathode pH and inoculum size for optimising MFC system for generation of electricity and degradation of 2,4-dichlorophenol. A statistical central composite design by RSM was used to develop the quadratic model designs. The optimised parameters were determined and evaluated by statistical results and the best MFC systematic outcomes in terms of current generation and chlorophenol degradation. Statistical results revealed that the optimum current density of 106 mA/m2 could be achieved at anode pH 7.5, cathode pH 6.3-6.6 and 21-28% for inoculum size. Anode-cathode pHs interaction was found to positively influence the current generation through extracellular electron transfer mechanism. The phenolic degradation was found to have lower response using these three parameter interactions. Only inoculum size-cathode pH interaction appeared to be significant where the optimum predicted phenolic degradation could be attained at pH 7.6 for cathode pH and 29.6% for inoculum size.
    Matched MeSH terms: Biometry
  2. Danaraj TJ
    Cardiol Prat, 1962 Feb;13:212-24.
    PMID: 13883338
    Matched MeSH terms: Biometry*
  3. Djauhari, M.A.
    ASM Science Journal, 2011;5(1):53-63.
    MyJurnal
    Industrial statistics is an important part of the management system in any industry that strives to continuously improve quality and increase productivity and efficiency. That system covers supply chain management, production design and prototyping, production process and marketing. Industrial statisticians, industrial engineers and industrial leaders should work together hand in hand, in the same language, to ensure that the process and products are as expected. The system itself is never complete. Thus, the usefulness, manageability and reliability of all statistical models used in the system are to be considered as first priority, but those skills are not sufficient. Industrial statisticians should also, of course, be able to come and go between the two poles: statistics and industry. This requirement needs a good understanding about the culture of these poles and how to conduct a mutual symbiosis. One of the principal bridges between these cultures is statistical process control (SPC). This paper is to show that modern industry cannot escape from SPC, especially in a multivariate setting. This setting, which characterizes modern industry, consists of two philosophical problems: how to order data and how to measure process variability. Our recent research results sponsored by the Government of Malaysia will be presented to illustrate the challenging statistical problems in modern industry.
    Matched MeSH terms: Biometry
  4. Deori A, Gupta N, Gupta AK, Yelamanchi R, Agrawal H, Durga CK
    Malays J Med Sci, 2021 Feb;28(1):97-104.
    PMID: 33679225 DOI: 10.21315/mjms2021.28.1.12
    Background: Axillary dissection is one of the important components of modified radical mastectomy (MRM). The present study was conducted to compare surgical outcomes by using monopolar electrocautery and ultrasonic dissector for axillary dissection in MRM.

    Methods: A parallel randomised controlled single blinded study was conducted with a sample size of 70 patients who were randomised into two groups. One group underwent MRM using ultrasonic dissector (Group A) and the other one using electrocautery (Group B). Intra- and post-operative outcomes were compared.

    Results: Group A had an average operating time of 30.86 min, which was statistically less than that of Group B. The mean mop count and the daily drain output in Group A were less as compared to Group B and the differences were statistically significant. Drain was removed early in Group A as compared to Group B. However, post-operative pain scores and seroma formation were not statistically significant among the two groups.

    Conclusion: Ultrasonic dissector group had significantly lesser intra-operative bleeding, operating time and post-operative drain output when compared to electrocautery group. However, the two groups had no significant difference in post-operative pain scores and seroma formation.

    Matched MeSH terms: Biometry
  5. Allawi MF, Aidan IA, El-Shafie A
    Environ Sci Pollut Res Int, 2021 Feb;28(7):8281-8295.
    PMID: 33052565 DOI: 10.1007/s11356-020-11062-x
    The accuracy level for reservoir evaporation prediction is an important issue for decision making in the water resources field. The traditional methods for evaporation prediction could encounter numerous obstacles owing to the effect of several parameters on the shape of the evaporation pattern. The current research presented modern model called the Coactive Neuro-Fuzzy Inference System (CANFIS). Modification for such model has been achieved for enhancing the evaporation prediction accuracy. Genetic algorithm was utilized to select the effective input combination. The efficiency of the proposed model has been compared with popular artificial intelligence models according to several statistical indicators. Two different case studies Aswan High Dam (AHD) and Timah Tasoh Dam (TTD) have been considered to explore the performance of the proposed models. It is concluded that the modified GA-CANFIS model is better than GA-ANFIS, GA-SVR, and GA-RBFNN for evaporation prediction for both case studies. GA-CANFIS attained minimum RMSE (15.22 mm month-1 for AHD, 8.78 mm month-1 for TTD), minimum MAE (12.48 mm month-1 for AHD, 5.11 mm month-1 for TTD), and maximum determination coefficient (0.98 for AHD, 0.95 for TTD).
    Matched MeSH terms: Biometry
  6. Banadkooki FB, Ehteram M, Ahmed AN, Teo FY, Ebrahimi M, Fai CM, et al.
    Environ Sci Pollut Res Int, 2020 Oct;27(30):38094-38116.
    PMID: 32621196 DOI: 10.1007/s11356-020-09876-w
    Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network (ANN) models, for the prediction of SSL, based on previous SSL values. Different input scenarios of daily SSL were used to evaluate the capacity of the ANN-ant lion optimization (ALO), ANN-bat algorithm (BA) and ANN-particle swarm optimization (PSO). The Goorganrood basin in Iran was selected for this study. First, the lagged SSL data were used as the inputs to the models. Next, the rainfall and temperature data were used. Optimization algorithms were used to fine-tune the parameters of the ANN model. Three statistical indexes were used to evaluate the accuracy of the models: the root-mean-square error (RMSE), mean absolute error (MAE) and Nash-Sutcliffe efficiency (NSE). An uncertainty analysis of the predicting models was performed to evaluate the capability of the hybrid ANN models. A comparison of models indicated that the ANN-ALO improved the RMSE accuracy of the ANN-BA and ANN-PSO models by 18% and 26%, respectively. Based on the uncertainty analysis, it can be surmised that the ANN-ALO has an acceptable degree of uncertainty in predicting daily SSL. Generally, the results indicate that the ANN-ALO is applicable for a variety of water resource management operations.
    Matched MeSH terms: Biometry
  7. Kamel NS, Sayeed S, Ellis GA
    IEEE Trans Pattern Anal Mach Intell, 2008 Jun;30(6):1109-13.
    PMID: 18421114 DOI: 10.1109/TPAMI.2008.32
    Utilizing the multiple degrees of freedom offered by the data glove for each finger and the hand, a novel on-line signature verification system using the Singular Value Decomposition (SVD) numerical tool for signature classification and verification is presented. The proposed technique is based on the Singular Value Decomposition in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, so the effective dimensionality of A can be reduced. Having modeled the data glove signature through its r-principal subspace, signature authentication is performed by finding the angles between the different subspaces. A demonstration of the data glove is presented as an effective high-bandwidth data entry device for signature verification. This SVD-based signature verification technique is tested and its performance is shown to be able to recognize forgery signatures with a false acceptance rate of less than 1.2%.
    Matched MeSH terms: Biometry/instrumentation; Biometry/methods*
  8. Kolda L, Krejcar O, Selamat A, Kuca K, Fadeyi O
    Sensors (Basel), 2019 Aug 26;19(17).
    PMID: 31455045 DOI: 10.3390/s19173709
    Biometric verification methods have gained significant popularity in recent times, which has brought about their extensive usage. In light of theoretical evidence surrounding the development of biometric verification, we proposed an experimental multi-biometric system for laboratory testing. First, the proposed system was designed such that it was able to identify and verify a user through the hand contour, and blood flow (blood stream) at the upper part of the hand. Next, we detailed the hard and software solutions for the system. A total of 40 subjects agreed to be a part of data generation team, which produced 280 hand images. The core of this paper lies in evaluating individual metrics, which are functions of frequency comparison of the double type faults with the EER (Equal Error Rate) values. The lowest value was measured for the case of the modified Hausdorff distance metric - Maximally Helicity Violating (MHV). Furthermore, for the verified biometric characteristics (Hamming distance and MHV), appropriate and suitable metrics have been proposed and experimented to optimize system precision. Thus, the EER value for the designed multi-biometric system in the context of this work was found to be 5%, which proves that metrics consolidation increases the precision of the multi-biometric system. Algorithms used for the proposed multi-biometric device shows that the individual metrics exhibit significant accuracy but perform better on consolidation, with a few shortcomings.
    Matched MeSH terms: Biometry
  9. Hayat K, Arshed M, Fiaz I, Afreen U, Khan FU, Khan TA, et al.
    Front Public Health, 2021;9:603602.
    PMID: 33981657 DOI: 10.3389/fpubh.2021.603602
    Background: The novel coronavirus (COVID-19) pandemic has significantly increased the rate of mortality and morbidity worldwide due to its rapid transmission rate. The mental health status of individuals could have a negative impact attributed to this global situation. Therefore, this study was intended to explore the symptoms of depression and anxiety among healthcare workers (HCWs) of Pakistan during the ongoing COVID-19 pandemic. Methods: A cross-sectional survey was undertaken by administering a web-based questionnaire between May and June 2020. Two tools, including the Patient Health Questionnaire (PHQ9) and Generalized Anxiety Disorder-7 (GAD-7), were employed to measure anxiety and depression symptoms among HCWs. The data analyses were carried out using descriptive statistics, Man Whitney, and Kruskal Wallis tests. Results: Of 1094 HCWs who participated in this online survey, 742 (67.8%) were physicians, followed by nurses (n = 277, 25.3%) and pharmacists (n = 75, 6.9%). The survey respondents had a median depression and anxiety score of 5.00 (7.00-3.00) and 8.00 (11.00-5.00), respectively. A considerable number of HCWs (82.2%) utilized online psychological resources to deal with their psychological distress. Female HCWs, nurses, frontline HCWs, and HCWs aged 30-49 years were more likely to suffer from depression and anxiety (p < 0.05). Conclusion: During the recent ongoing pandemic of COVID-19, there is a mild level of symptoms of depression and anxiety among HCWs. Our findings call for urgent psychological interventions for vulnerable groups of Pakistani HCWs.
    Matched MeSH terms: Biometry
  10. Hayat K, Mustafa ZU, Godman B, Arshed M, Zhang J, Khan FU, et al.
    Front Pharmacol, 2021;12:650137.
    PMID: 34054528 DOI: 10.3389/fphar.2021.650137
    Background: Optimal collaboration between pharmacists and other healthcare professionals such as physicians is integral in implementing pharmaceutical care. However, there are concerns regarding the role of pharmacists, especially among low- and middle-income countries. This study explored the perceptions, expectations, and experience of physicians working in various hospital settings of Punjab, Pakistan, about pharmacists and their roles. Methods: A self-administered questionnaire consisting of four sections was administered from October to December 2020. Descriptive and inferential statistics such as Kruskal-Wallis and Mann-Whitney tests were used for data analysis using SPSS. Results: Six hundred and seventy-eight physicians participated in this study with a response rate of 77.9%. Most of the physicians reported minimal to no interaction with pharmacists (n = 521, 76.8%). However, more than three-quarters of physicians (n = 660, 97.3%) accepted pharmacists as evidence-based sources of drug information. In addition, many physicians (n = 574, 84.7%) strongly agreed that pharmacists should attend patient care rounds to respond promptly to questions related to patient medication. A limited number of physicians (n = 124, 18.3%) assumed that pharmacists were advising their patients regarding the judicial use of their drugs. Median expectation and experience score had a significant association with age, experience, and education of physicians (P < 0.05). Conclusions: The perception of physicians was positive toward certain roles of pharmacists, coupled with high expectations. However, their experience was low, with most of the activities of pharmacists due to inadequate interprofessional coordination.
    Matched MeSH terms: Biometry
  11. Mimiwati Z, Fathilah J
    Med J Malaysia, 2001 Sep;56(3):341-9.
    PMID: 11732081
    Thirty-seven consecutive patients (41 eyes) diagnosed with primary angle closure glaucoma (PACG) attending the Glaucoma Clinic in University Malaya Medical Centre, over a period of 6 months were categorized into acute, subacute and chronic PACG from their clinical presentation. Each case was subjected to automated refraction, A-scan biometry for anterior chamber depth, axial length and lens thickness, keratometry and corneal diameter measurement. Calculations for the relative lens position and the lens thickness: axial length index were performed. The data collected was analysed by the nonparametric test (Kruskal-Wallis), one way analysis of variance (ANOVA), chi-square test, Spearman's nonparametric correlations and regression analysis. For controls 15 eyes from 15 normal subjects matched for age, sex, refractive error and race were chosen and subjected to the same examinations. Chronic PACG was the predominant subtype (53.6% of patients and 58.5% of eyes). The ocular biometric measurements of acute PACG eyes deviated most from normals in having the shallowest anterior chamber depth, shortest axial length, smallest corneal diameter, steepest corneal radius, thickest and most anteriorly situated lens, and the greatest lens thickness: axial length index. The subacute subtype was closest to normal and chronic PACG subtype fell in between in most of the biometric characteristics. These findings were not statistically significant. All PACG eyes as a group however showed statistically significant shallower anterior chamber depth (p < 0.05), and a more anterior relative lens position (p < 0.05) compared to normals.
    Matched MeSH terms: Biometry*
  12. Abdullah HM, Khairudin R, Fatimah wH
    Jurnal Psikologi Malaysia, 2014;olume 28:88-97.
    This study was carried out to determine the influence of LMX towards the SCB worker dimension in a national automotive company in Malaysia. There were 360 respondents from the automotive company involved in this study. Data collected from respondents were analysed using descriptive (demographic frequencies) and inferential statistics (correlation and regression analysis). The results showed that one of the four independent variables has a positive influence on SCB. In terms of the demographic factors, none of the variables (age, gender and period of service) made any significant difference on LMX and SCB, except the position category. Further suggestions regarding LMX and SCB are discussed based on the findings.
    Matched MeSH terms: Biometry
  13. MAYCOCK HG, GIBSON-HILL MM
    Med J Malaya, 1954 Jun;8(4):343-50.
    PMID: 13193272
    Matched MeSH terms: Biometry*
  14. Chang CT, Ang JY, Islam MA, Chan HK, Cheah WK, Gan SH
    Pharmaceuticals (Basel), 2021 Feb 25;14(3).
    PMID: 33669084 DOI: 10.3390/ph14030187
    Drug-related problems (DRPs) in the elderly include polypharmacy, potentially inappropriate medications, nonadherence, and drug-related falls. In this systematic review and meta-analysis, the prevalence of DRPs and complementary and alternative medicine (CAM) use among the Malaysian elderly was estimated. PubMed, Scopus, Web of Science, and Google Scholar databases were searched to identify studies published since their inception up to 24 August 2020. A random-effects model was used to generate the pooled prevalence of DRPs along with its corresponding 95% confidence interval (CI). The heterogeneity of the results was estimated using the I2 statistics, and Cochran's Q test and sensitivity analyses were performed to confirm the robustness of the results. We identified 526 studies, 23 of which were included in the meta-analysis. (n = 29,342). The pooled prevalence of DRPs among Malaysian elderly was as follows: (1) polypharmacy: 49.5% [95% CI: 20.5-78.6], (2) potentially inappropriate medications: 28.9% [95% CI: 25.4-32.3], (3) nonadherence to medications: 60.6% [95% CI: 50.2-70.9], and (4) medication-related falls 39.3% [95% CI: 0.0-80.8]. Approximately one in two Malaysian elderly used CAM. The prevalence of polypharmacy and potentially inappropriate medications among the Malaysian elderly population was high, calling for measures and evidence-based guidelines to ensure the safe medication use.
    Matched MeSH terms: Biometry
  15. Gunny AA, Arbain D, Jamal P, Gumba RE
    Saudi J Biol Sci, 2015 Jul;22(4):476-83.
    PMID: 26150755 DOI: 10.1016/j.sjbs.2014.11.021
    Halophilic cellulases from the newly isolated fungus, Aspergillus terreus UniMAP AA-6 were found to be useful for in situ saccharification of ionic liquids treated lignocelluloses. Efforts have been taken to improve the enzyme production through statistical optimization approach namely Plackett-Burman design and the Face Centered Central Composite Design (FCCCD). Plackett-Burman experimental design was used to screen the medium components and process conditions. It was found that carboxymethylcellulose (CMC), FeSO4·7H2O, NaCl, MgSO4·7H2O, peptone, agitation speed and inoculum size significantly influence the production of halophilic cellulase. On the other hand, KH2PO4, KOH, yeast extract and temperature had a negative effect on enzyme production. Further optimization through FCCCD revealed that the optimization approach improved halophilic cellulase production from 0.029 U/ml to 0.0625 U/ml, which was approximately 2.2-times greater than before optimization.
    Matched MeSH terms: Biometry
  16. Marhazlina Mohamad, Loy, See-Ling, Nik Mohamed Zaki Nik Mahmood, Nor Azwany Yaacob, Hamid Jan Jan Mohamed
    MyJurnal
    This study aimed to develop and examine the validity and reliability of a pregnancy symptoms questionnaire. A total of 214 pregnant women aged 19 to 40 years old were purposive randomly recruited from December 2009 to January 2010 in Antenatal Clinic, Hospital Universiti Sains Malaysia. Pregnant mothers at second and third trimesters were interviewed to complete the Pregnancy Symptoms Questionnaire (PSQ). The PSQ was developed by experts in nutrition, obstetrics and statistics. The PSQ consists of 38 items on frequency and severity of pregnancy symptoms. Factor analysis was done using Promax rotation method to check for construct validity. A total of 16 items which had poor correlation (<0.3) and less important content were removed during the final revise. The 22 remaining items were found to be loaded on the three components (general, constitutional and somatic pain). The overall Cronbach’s alpha coefficient was 0.93 and for each three components ranges from 0.70–0.87. The results suggest that the final PSQ consisting of 22 items is valid and reliable for measuring the frequency and severity of the symptoms experienced during pregnancy. It can be used in nutritional studies related to pregnancy and its outcome.
    Keywords: Pregnant mothers; Pregnancy symptoms; Questionnaire; Validation
    Study site: Antenatal Clinic, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Biometry
  17. Mohsin AH, Zaidan AA, Zaidan BB, Ariffin SAB, Albahri OS, Albahri AS, et al.
    J Med Syst, 2018 Oct 29;42(12):245.
    PMID: 30374820 DOI: 10.1007/s10916-018-1103-6
    In real-time medical systems, the role of biometric technology is significant in authentication systems because it is used in verifying the identity of people through their biometric features. The biometric technology provides crucial properties for biometric features that can support the process of personal identification. The storage of biometric template within a central database makes it vulnerable to attack which can also occur during data transmission. Therefore, an alternative mechanism of protection becomes important to develop. On this basis, this study focuses on providing a detailed analysis of the extant literature (2013-2018) to identify the taxonomy and research distribution. Furthermore, this study also seeks to ascertain the challenges and motivations associated with biometric steganography in real-time medical systems to provide recommendations that can enhance the efficient use of real-time medical systems in biometric steganography and its applications. A review of articles on human biometric steganography in real-time medical systems obtained from three main databases (IEEE Xplore, ScienceDirect and Web of Science) is conducted according to an appropriate review protocol. Then, 41 related articles are selected by using exclusion and inclusion criteria. Majority of the studies reviewed had been conducted in the field of data-hiding (particularly steganography) technologies. In this review, various steganographic methods that have been applied in different human biometrics are investigated. Thereafter, these methods are categorised according to taxonomy, and the results are presented on the basis of human steganography biometric real-time medical systems, testing and evaluation methods, significance of use and applications and techniques. Finally, recommendations on how the challenges associated with data hiding can be addressed are provided to enhance the efficiency of using biometric information processed in any authentication real-time medical system. These recommendations are expected to be immensely helpful to developers, company users and researchers.
    Matched MeSH terms: Biometry/methods*
  18. Azline Abdilah, Sri Ganesh Muthiah, Hayati Kadir
    MyJurnal
    Introduction: Hepatitis C virus (HCV) infection is known as contributing to high morbidity and mortality globally. Major liver complications such as liver failure and liver cancer which can lead to fatality have been associated with persistent HCV infection. Globally, it is estimated that 5.6 million chronically infected HCV are among people who inject drugs (PWID). Malaysia has estimated that 59% HCV infections were among PWID. The aim of this study is to determine the prevalence of HCV infection and its predictors among PWID in Negeri Sembilan. Methods: A cross-sectional study based on random proportion to size sampling was conducted among 212 out of 1414 regis- tered Methadone Maintenance Therapy (MMT) clients with PWID attending health clinics in Negeri Sembilan from February 2018 to July 2018. Data were collected using questionnaires administered through face-to-face interviews. Data were analyzed using Statistical Package of IBM SPSS Statistics Version 23 and p-value of
    Matched MeSH terms: Biometry
  19. Tengku Fazrina Tengku Mohd Arif, Farah Farhana Muhamad Hanafi, Nur Wardah Hanis Abdul Razak, Narissaporn Chaiprakit, Hazmyr Abdul Wahab
    ESTEEM Academic Journal, 2020;16(2):11-20.
    MyJurnal
    Anthropometric analysis provides the most reliable comparison of the body forms by using specific landmarks determined in respect of anatomical prominences. The knowledge of unique shape, anatomy and dimensions of the nose is very useful for surgeon undertaking its repair and reconstruction. Prosthetic rehabilitation also requires the ability to imagine the position and dimension of the nose within the facial proximity. Therefore, the access to nasal data for each
    population are advantageous. The aims were to measure parameters of external nose of a Malay population and to determine the significant difference in nose value parameters between gender and age group. The direct anthropometric measurements were carried out in 86 Malay subjects within the age range of 18 to 55 years old who attended UiTM dental clinic. Nasal landmarks were
    identified, and the nose parameters were measured using digital calliper. The values were expressed as mean, standard deviation and range. Nasal height, width and length of the nasal bridge were higher in male. The intercanthal width and philtrum length were statistically not significant for both genders. There were significant differences in nasal width, philtrum length, intercanthal width and outer intercommisural mouth width between the three age groups. However, the height of the nose, length of the nasal bridge and nasal index between age group were statistically not significant. The male population and the 41-55 years age group have higher nose value parameters. The most common type of nose was platyrrhine: broad. This study also suggested that Malay population have medium broad nose as the nasal index for both genders was ≤ 84.90.
    Matched MeSH terms: Biometry
  20. Muhammad Syafiq Abdullah, Nicholas Pang, Sharinah Abd Kassim, Flora Aurora AmatUdat, NurZiana Ulkaya, NuraisyahNurullah, et al.
    MyJurnal
    Introduction: Isolation and border control measures, with home quarantine measures, are essential to stem the spread of the newly emergent novel Covid-19. Such measures are doomed to fail if reliant on traditional isolation methods, which entail small numbers of overworked healthcare staff screening and surveilling large numbers of well individuals who are potential false positives. Innovative method employed by Hospital UMS to overcome these logistics difficulties. Methods: A total of 440 returning China students to UMS were planned for home quarantine measures for 14 days. In the intervening 14 days, groups of ten quarantined individuals were assigned to 1 Manda- rin-speaking medical student liaison officer (LO). LOs performed assessment toolkit for 14 consecutive days virtually via WhatsApp and WeChat and reported back to NCOV central command if any symptoms ensued. Results: 45 China students have been put on home quarantine. Two (2) students with symptoms were monitored virtually till resolution of symptoms. Also, five (5) students with uncontactable phone numbers required tracking down, using var- ious methods eg: retrieval from close contacts through wide-bore virtual search. No cases so far have been positive for NCOV or have required referral to tertiary hospitals. Qualitatively, such methods are a vital public health inter- vention, as task shifting happens to semi-professionals. Hospital UMS first trial of two cherished founding principles: community-based rather than healthcare-facility center healthcare delivery, and judicious use of digital health com- munications, applications, and rudimentary telemedicine. Conclusion: Student-led virtual telemedicine and digital health delivery has potential in public health crises like NCOV, freeing frontline healthcare staff to devote energies to their specialties of screening and treatment. Integration of video and biometrics to incorporate true telemedicine, allowing individuals to be “hospitalized” in a community setting in situations of low risk.
    Matched MeSH terms: Biometry
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