Displaying publications 81 - 100 of 754 in total

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  1. May Asliza Tan Zalilah, Maizatul Hayati Mohamad Yatim, Amri Yusoff
    MyJurnal
    Learning through game scene is considered a game-based learning approach. Teaching and learning process using game scene is deemed interesting and effective due to the nature for this approach which seems alive with asserted activities. Students experience their own game via narration through the virtual world they undertook. This investigation is targeted towards conceptual change and explanation for basic programming theorem through navigated game scene by evaluating motivation and student experience. 55 respondents consisted of semester three students from computer software application certification a program from a community college is selected for the undertaken study. Motivation and experience surveys are reference based on intrinsic motivation inventory instrument (IMI). Findings were tabulated based on t-test statistics and descriptive to get the frequency, mean, standard deviation and percentage. Initial results reflected student acknowledgement on utilizing game scenes in terms of elaborating basic game programming key points in providing elevated learning experience.
    Matched MeSH terms: Software
  2. 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
  3. Mustapha MA, Shahpudin SN, Aziz AA, Ankathil R
    World J Gastroenterol, 2012 Jun 7;18(21):2668-73.
    PMID: 22690076 DOI: 10.3748/wjg.v18.i21.2668
    To investigate the allele and genotype frequencies and associated risk of interleukin (IL)-8 -251T>A polymorphism on colorectal cancer (CRC) susceptibility risk.
    Matched MeSH terms: Software
  4. Khairul Nizam Tahar, Anuar Ahmad
    MyJurnal
    The objective of this study was to investigate the capabilities of low-cost digital cameras in volume determination. Low-cost digital cameras are capable of many applications including aerial photogrammetry and close-range photogrammetry. Low-cost digital cameras have the potential to be used in landslide monitoring and mapping. In this study, a low-cost digital camera was used as a tool to acquire digital images of a model of a simulated landslide. The model was constructed using cement and sand with the dimensions of 3m in length and 1m width. Digital images of the simulated model were acquired using the technique of aerial photogrammetry and were subsequently processed using digital photogrammetric software. A portion of the simulated model was excavated to simulate a landslide and volume determination was carried out for the excavated sand. The results showed that low-cost digital cameras can be used in photogrammetric application including volume determination.
    Matched MeSH terms: Software
  5. Anuar Ahmad
    MyJurnal
    Normally, topographic map is produced using aerial photogrammetry. The recent development in aerial photogrammetry is the use of large format digital aerial camera for producing topographic map, however, the cost of the camera is too expensive and many mapping organization around the world could not afford to purchase it. In certain application, there is a need to map small area with limited budget. This issue has been solved by using small format camera (i.e. conventional or digital) to produce digital map. This study concentrates on the use of unmanned aerial vehicle (UAV) for producing digital map. UAV has been widely used in military for reconnaissance, planning, combat, and etc. Today, UAV can be used by civilian for reconnaissance, monitoring, mapping, and others. The objectives of this study are to investigate the capability of UAV in producing digital map and assess the accuracy of mapping using UAV. In this study, a light weight fixed wing UAV was used as a platform and a high resolution digital camera was used to acquire aerial digital images of the study area. The aerial digital images were acquired at low altitude. After capturing the aerial digital images, ground control points and check points were established using GPS. Then the aerial digital images were processed using photogrammetric software. The output of the study is a digital map and digital orthophoto. For accuracy assessment, the root mean square error (RMSE) is used. Based on the assessment, the results showed that accuracy of sub-meter can be obtained using the procedure and method used in the study. In conclusion, this study shows that UAV can be used for producing digital map at sub-meter accuracy and it can also be used for diversified applications.
    Matched MeSH terms: Software
  6. Jahanirad M, Wahab AW, Anuar NB
    Forensic Sci Int, 2016 May;262:242-75.
    PMID: 27060542 DOI: 10.1016/j.forsciint.2016.03.035
    Camera attribution plays an important role in digital image forensics by providing the evidence and distinguishing characteristics of the origin of the digital image. It allows the forensic analyser to find the possible source camera which captured the image under investigation. However, in real-world applications, these approaches have faced many challenges due to the large set of multimedia data publicly available through photo sharing and social network sites, captured with uncontrolled conditions and undergone variety of hardware and software post-processing operations. Moreover, the legal system only accepts the forensic analysis of the digital image evidence if the applied camera attribution techniques are unbiased, reliable, nondestructive and widely accepted by the experts in the field. The aim of this paper is to investigate the evolutionary trend of image source camera attribution approaches from fundamental to practice, in particular, with the application of image processing and data mining techniques. Extracting implicit knowledge from images using intrinsic image artifacts for source camera attribution requires a structured image mining process. In this paper, we attempt to provide an introductory tutorial on the image processing pipeline, to determine the general classification of the features corresponding to different components for source camera attribution. The article also reviews techniques of the source camera attribution more comprehensively in the domain of the image forensics in conjunction with the presentation of classifying ongoing developments within the specified area. The classification of the existing source camera attribution approaches is presented based on the specific parameters, such as colour image processing pipeline, hardware- and software-related artifacts and the methods to extract such artifacts. The more recent source camera attribution approaches, which have not yet gained sufficient attention among image forensics researchers, are also critically analysed and further categorised into four different classes, namely, optical aberrations based, sensor camera fingerprints based, processing statistics based and processing regularities based, to present a classification. Furthermore, this paper aims to investigate the challenging problems, and the proposed strategies of such schemes based on the suggested taxonomy to plot an evolution of the source camera attribution approaches with respect to the subjective optimisation criteria over the last decade. The optimisation criteria were determined based on the strategies proposed to increase the detection accuracy, robustness and computational efficiency of source camera brand, model or device attribution.
    Matched MeSH terms: Software
  7. Shaiqah MR, Salahuddin HM, Afiful Huda AYA, Izzuddin M, Nur Shafiq NIM, Nur Hakimah MA, et al.
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S703-S706.
    PMID: 33828364 DOI: 10.4103/jpbs.JPBS_249_19
    Introduction: Royal jelly (RJ) has been consumed as food or as a supplement because of its high nutritional and medicinal values. A fresh harvested RJ is yellowish to whitish in color and contains proteins, free amino acids, lipids, vitamins, and sugar. Without proper storage conditions, such as at 4°C, the color of RJ changes to much darker yellow and produces a rancid smell. To prolong its shelf life, RJ is usually mixed with honey. Alginate, a natural and edible polymer derived from seaweed, is commonly used to encapsulate drugs and food due to its ability to form gels by reacting with divalent cations. However, there is a lack of research on the microencapsulation of RJ in alginate using electrospray. The electrospray technique has the advantage in producing consistent size and shape of alginate microbeads under optimum parameters.

    Aim: This research aimed to optimize electrospray-operating parameters in producing alginate-RJ microbeads.

    Materials and Methods: Optimization of alginate-RJ microbeads electrospray parameters was carried out using 24 factorial design with three center points (19 runs). The studied parameters were flow rate, high voltage, nozzle size, and tip-to-collector distance, whereas the responses were particle size, particle size distribution, and sphericity factor. The responses of each run were analyzed using Design-Expert software.

    Results: Nozzle size is a significant parameter that influences the particle size. Flow rate is a significant parameter influencing the sphericity factor.

    Conclusion: Screening of the electrospray-operating parameters paves the way in determining the significant parameters and their design space to produce consistent alginate-RJ microbeads.

    Matched MeSH terms: Software
  8. Abiola, Abdulrahman Surajudeen, Lekhraj Rampal, Norlijah Othman, Faisal Ibrahim, Hayati Kadir@Shahar, Anuradha P. Radhakrishnan
    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
  9. Abdullah A, Deris S, Mohamad MS, Anwar S
    PLoS One, 2013;8(4):e61258.
    PMID: 23593445 DOI: 10.1371/journal.pone.0061258
    One of the key aspects of computational systems biology is the investigation on the dynamic biological processes within cells. Computational models are often required to elucidate the mechanisms and principles driving the processes because of the nonlinearity and complexity. The models usually incorporate a set of parameters that signify the physical properties of the actual biological systems. In most cases, these parameters are estimated by fitting the model outputs with the corresponding experimental data. However, this is a challenging task because the available experimental data are frequently noisy and incomplete. In this paper, a new hybrid optimization method is proposed to estimate these parameters from the noisy and incomplete experimental data. The proposed method, called Swarm-based Chemical Reaction Optimization, integrates the evolutionary searching strategy employed by the Chemical Reaction Optimization, into the neighbouring searching strategy of the Firefly Algorithm method. The effectiveness of the method was evaluated using a simulated nonlinear model and two biological models: synthetic transcriptional oscillators, and extracellular protease production models. The results showed that the accuracy and computational speed of the proposed method were better than the existing Differential Evolution, Firefly Algorithm and Chemical Reaction Optimization methods. The reliability of the estimated parameters was statistically validated, which suggests that the model outputs produced by these parameters were valid even when noisy and incomplete experimental data were used. Additionally, Akaike Information Criterion was employed to evaluate the model selection, which highlighted the capability of the proposed method in choosing a plausible model based on the experimental data. In conclusion, this paper presents the effectiveness of the proposed method for parameter estimation and model selection problems using noisy and incomplete experimental data. This study is hoped to provide a new insight in developing more accurate and reliable biological models based on limited and low quality experimental data.
    Matched MeSH terms: Software*
  10. Islam MS, Hannan MA, Basri H, Hussain A, Arebey M
    Waste Manag, 2014 Feb;34(2):281-90.
    PMID: 24238802 DOI: 10.1016/j.wasman.2013.10.030
    The increasing requirement for Solid Waste Management (SWM) has become a significant challenge for municipal authorities. A number of integrated systems and methods have introduced to overcome this challenge. Many researchers have aimed to develop an ideal SWM system, including approaches involving software-based routing, Geographic Information Systems (GIS), Radio-frequency Identification (RFID), or sensor intelligent bins. Image processing solutions for the Solid Waste (SW) collection have also been developed; however, during capturing the bin image, it is challenging to position the camera for getting a bin area centralized image. As yet, there is no ideal system which can correctly estimate the amount of SW. This paper briefly discusses an efficient image processing solution to overcome these problems. Dynamic Time Warping (DTW) was used for detecting and cropping the bin area and Gabor wavelet (GW) was introduced for feature extraction of the waste bin image. Image features were used to train the classifier. A Multi-Layer Perceptron (MLP) classifier was used to classify the waste bin level and estimate the amount of waste inside the bin. The area under the Receiver Operating Characteristic (ROC) curves was used to statistically evaluate classifier performance. The results of this developed system are comparable to previous image processing based system. The system demonstration using DTW with GW for feature extraction and an MLP classifier led to promising results with respect to the accuracy of waste level estimation (98.50%). The application can be used to optimize the routing of waste collection based on the estimated bin level.
    Matched MeSH terms: Software*
  11. Sellvam D, Lau NS, Arip YM
    Trop Life Sci Res, 2018 Mar;29(1):37-50.
    PMID: 29644014 DOI: 10.21315/tlsr2018.29.1.3
    Malaysia is one of the countries that are loaded with mega biodiversity which includes microbial communities. Phages constitute the major component in the microbial communities and yet the numbers of discovered phages are just a minute fraction of its population in the biosphere. Taking into account of a huge numbers of waiting to be discovered phages, a new bacteriophage designated as Escherichia phage YD-2008.s was successfully isolated using Escherichia coli ATCC 11303 as the host. Phage YD-2008.s poses icosahedral head measured at 57nm in diameter with a long non-contractile flexible tail measured at 107nm; proving the phage as one of the members of Siphoviridae family under the order of Caudovirales. Genomic sequence analyses revealed phage YD-2008.s genome as linear dsDNA of 44,613 base pairs with 54.6% G+C content. Sixty-two open reading frames (ORFs) were identified on phage YD-2008.s full genome, using bioinformatics annotation software; Rapid Annotation using Subsystem Technology (RAST). Among the ORFs, twenty-eight of them code for functional proteins. Thirty two are classified as hypothetical proteins and there are two unidentified proteins. Even though majority of the coded putative proteins have high amino acids similarities to phages from the genus Hk578likevirus of the Siphoviridae family, yet phage YD-2008.s stands with its' own distinctiveness. Therefore, this is another new finding to Siphoviridae family as well as to the growing list of viruses in International Committee on Taxonomy of Viruses (ICTV) database.
    Matched MeSH terms: Software
  12. Jadhav KB, Nagraj SK, Arora S
    J Oral Pathol Med, 2020 Nov 21.
    PMID: 33220092 DOI: 10.1111/jop.13134
    BACKGROUND: miRNA is one of the advanced epigenetic molecular markers correlating with lymph node metastasis in patients with Oral squamous cell carcinoma (OSCC). Numerous published papers are showing correlation of miRNA with metastasis. There is a need to analyze and validate such correlation.

    METHOD: English language literature in major databases from the last 20 years was searched using controlled vocabulary and keywords. Strict inclusion and exclusion criteria were followed for selection of studies. The quality assessment was done as per the QUADAS tool 2 by three independent reviewers. The metanalysis was performed by using random effect model. Standardized mean difference (SMD) was considered as the effect measure. Statistical software used was STATA version 13.1.

    RESULTS: With all inclusion and exclusion criteria, eight studies could qualify for metanalysis. The pooled estimate is found to be 0.13 (-0.35, 0.62), P = .585, which is statistically not significant. This indicates that there is a no significant difference in the fold change between metastasis and no metastasis groups. P-value of chi-square statistic for heterogeneity is

    Matched MeSH terms: Software
  13. Shyam S, Wai TN, Arshad F
    Asia Pac J Clin Nutr, 2012;21(2):201-8.
    PMID: 22507605
    This paper outlines the methodology to add glycaemic index (GI) and glycaemic load (GL) functionality to food DietPLUS, a Microsoft Excel-based Malaysian food composition database and diet intake calculator. Locally determined GI values and published international GI databases were used as the source of GI values. Previously published methodology for GI value assignment was modified to add GI and GL calculators to the database. Two popular local low GI foods were added to the DietPLUS database, bringing up the total number of foods in the database to 838 foods. Overall, in relation to the 539 major carbohydrate foods in the Malaysian Food Composition Database, 243 (45%) food items had local Malaysian values or were directly matched to International GI database and another 180 (33%) of the foods were linked to closely-related foods in the GI databases used. The mean ± SD dietary GI and GL of the dietary intake of 63 women with previous gestational diabetes mellitus, calculated using DietPLUS version3 were, 62 ± 6 and 142 ± 45, respectively. These values were comparable to those reported from other local studies. DietPLUS version3, a simple Microsoft Excel-based programme aids calculation of diet GI and GL for Malaysian diets based on food records.
    Matched MeSH terms: Software
  14. Osman UM, Farizal ASN, Kadir MA, Razali MH, Rozaini MZH, Arshad S
    Data Brief, 2019 Dec;27:104673.
    PMID: 31720328 DOI: 10.1016/j.dib.2019.104673
    New compound, namely (Z)-1-[4-(trifluoromethyl)benzylidene]thiosemicarbazide was successfully synthesized using thiosemicarbazide with 4-(trifluoromethyl)-benzaldehyde in ethanol solution. The data presented in this articles is related to our research articles entitled "Crystal Structure of (Z)-1-[4-(Trifluoromethyl)benzylidene]thiosemicarbazide" (Osman et al., 2017) [1]. This work shows the continue data from experimental spectroscopic measurement which are Fourier Transform Infrared (FTIR) and 13C Nuclear Magnetic Resonance (13C NMR). Assessment on the correlation with theoretical computational data was also carried out through GaussView 5.0.9 and Gaussian09 software. Molecular Electrostatic Potential (MEP) and Highest Occupied Molecular Orbital-Lowest Unoccupied Molecular Orbital (HOMO-LUMO) were also illustrated.
    Matched MeSH terms: Software
  15. 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
  16. Firdaus-Raih M, Hamdani HY, Nadzirin N, Ramlan EI, Willett P, Artymiuk PJ
    Nucleic Acids Res, 2014 Jul;42(Web Server issue):W382-8.
    PMID: 24831543 DOI: 10.1093/nar/gku438
    Hydrogen bonds are crucial factors that stabilize a complex ribonucleic acid (RNA) molecule's three-dimensional (3D) structure. Minute conformational changes can result in variations in the hydrogen bond interactions in a particular structure. Furthermore, networks of hydrogen bonds, especially those found in tight clusters, may be important elements in structure stabilization or function and can therefore be regarded as potential tertiary motifs. In this paper, we describe a graph theoretical algorithm implemented as a web server that is able to search for unbroken networks of hydrogen-bonded base interactions and thus provide an accounting of such interactions in RNA 3D structures. This server, COGNAC (COnnection tables Graphs for Nucleic ACids), is also able to compare the hydrogen bond networks between two structures and from such annotations enable the mapping of atomic level differences that may have resulted from conformational changes due to mutations or binding events. The COGNAC server can be accessed at http://mfrlab.org/grafss/cognac.
    Matched MeSH terms: Software*
  17. Khowaja K, Salim SS, Asemi A
    PLoS One, 2015;10(7):e0132187.
    PMID: 26196385 DOI: 10.1371/journal.pone.0132187
    In this paper, we adapted and expanded a set of guidelines, also known as heuristics, to evaluate the usability of software to now be appropriate for software aimed at children with autism spectrum disorder (ASD). We started from the heuristics developed by Nielsen in 1990 and developed a modified set of 15 heuristics. The first 5 heuristics of this set are the same as those of the original Nielsen set, the next 5 heuristics are improved versions of Nielsen's, whereas the last 5 heuristics are new. We present two evaluation studies of our new heuristics. In the first, two groups compared Nielsen's set with the modified set of heuristics, with each group evaluating two interactive systems. The Nielsen's heuristics were assigned to the control group while the experimental group was given the modified set of heuristics, and a statistical analysis was conducted to determine the effectiveness of the modified set, the contribution of 5 new heuristics and the impact of 5 improved heuristics. The results show that the modified set is significantly more effective than the original, and we found a significant difference between the five improved heuristics and their corresponding heuristics in the original set. The five new heuristics are effective in problem identification using the modified set. The second study was conducted using a system which was developed to ascertain if the modified set was effective at identifying usability problems that could be fixed before the release of software. The post-study analysis revealed that the majority of the usability problems identified by the experts were fixed in the updated version of the system.
    Matched MeSH terms: Software
  18. Nawi N, Mohamed AM, Marizan Nor M, Ashar NA
    J Orofac Orthop, 2018 Jan;79(1):19-27.
    PMID: 29116344 DOI: 10.1007/s00056-017-0111-3
    OBJECTIVE: The aim of the present study was to determine the overall reliability and validity of arch parameters measured digitally compared to conventional measurement.

    METHODS: A sample of 111 plaster study models of Down syndrome (DS) patients were digitized using a blue light three-dimensional (3D) scanner. Digital and manual measurements of defined parameters were performed using Geomagic analysis software (Geomagic Studio 2014 software, 3D Systems, Rock Hill, SC, USA) on digital models and with a digital calliper (Tuten, Germany) on plaster study models. Both measurements were repeated twice to validate the intraexaminer reliability based on intraclass correlation coefficients (ICCs) using the independent t test and Pearson's correlation, respectively. The Bland-Altman method of analysis was used to evaluate the agreement of the measurement between the digital and plaster models.

    RESULTS: No statistically significant differences (p > 0.05) were found between the manual and digital methods when measuring the arch width, arch length, and space analysis. In addition, all parameters showed a significant correlation coefficient (r ≥ 0.972; p 

    Matched MeSH terms: Software
  19. Ullah MA, Islam MT, Alam T, Ashraf FB
    Sensors (Basel), 2018 Dec 01;18(12).
    PMID: 30513719 DOI: 10.3390/s18124214
    This paper demonstrates the performance of a potential design of a paper substrate-based flexible antenna for intrabody telemedicine systems in the 2.4 GHz industrial, scientific, and medical radio (ISM) bands. The antenna was fabricated using 0.54 mm thick flexible photo paper and 0.03 mm copper strips as radiating elements. Design and performance analyses of the antenna were performed using Computer Simulation Technology (CST) Microwave Studio software. The antenna performances were investigated based on the reflection coefficient in normal and bent conditions. The total dimensions of the proposed antenna are 40 × 35 × 0.6 mm³. The antenna operates at 2.33⁻2.53 GHz in the normal condition. More than an 8% fractional bandwidth is expressed by the antenna. Computational analysis was performed at different flexible curvatures by bending the antenna. The minimum fractional bandwidth deviation is 5.04% and the maximum is 24.97%. Moreover, it was mounted on a homogeneous phantom muscle and a four-layer human tissue phantom. Up to a 70% radiation efficiency with a 2 dB gain was achieved by the antenna. Finally, the performance of the antenna with a homogeneous phantom muscle was measured and found reliable for wearable telemedicine applications.
    Matched MeSH terms: Software
  20. Kumar, Naveen, Nur Amni Mohd Shamsuddin, Normylia Jamil, Atiqah Mohd Zayed, Swamy Ravindra, S., Guru, Anita, et al.
    MyJurnal
    Objective: The idea of humanitarianism is evolving with progressing life. Awareness about this global issue has to be emphasized particularly among the younger generation and thus be encouraged to be exposed and involved in humanitarian projects in need. Being responsible citizens of the country one should develop concern about the humanitarian issues, and this attitude needs to be developed from student life. Methods: A cross sectional survey was conducted on 200 participants of the Malaysian and Indian (100 each) health science students using faculty validated close ended questionnaire. Results of the data were analyzed statistically by testing with chi square analysis from SPSS software. Results: From the present study, it has been observed that, despite the cultural and economical diversity between the two nations, there was no observable difference in student’s point of view on humanitarian issues in most of the areas concerned. Overall evaluation also reflected effect of the socio-economic status of the countries on the perception of the issue amongst the students. Conclusion: Despite of different geography, diverse culture and dissimilar socio-economic status, the need of concern towards humanitarian issues is observable. Students of both nations have positive attitude towards the humanitarian issues as well.
    Matched MeSH terms: Software
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