Displaying publications 141 - 160 of 2040 in total

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  1. Fauziah Nordin, Quek Kia Fatt, Agus Salim M Banon
    MyJurnal
    This study aimed to validate the Malay Version of Copenhagen Psychosocial Questionnaire for Malaysian use and application for assessing psychosocial work environment factors. Validity and Reliability were studied in 50 staff nurses of Hospital Selayang. The validity of the questionnaire was evaluated by calculating the percentage of sensitivity and specificity at the different score level. Both percentage of sensitivity against specificity were plotted to produce a ROC (Receiver Operating Characteristics) curve, and score 52 has the highest both sensitivity and specificity was used as an overall index that expresses the probability that measure the psychosocial problems. For reliability purposes, a descriptive of Test-Retest Mean Scores and Paired Sample T-Test and the coefficient-correlation test were calculated. The Test-Retest Mean Scores and Paired Sample T-Test for all 26 scales were calculated and showed statistically not significant. The reliability of the questionnaire and its 26 scales was assessed by using Pearson (r) (overall questionnaire r within a range of 0.00 to 1.00). The COPSOQ appears to be a reliable and responsive measure of workers for Malaysian use and can be applied for assessing psychosocial work environment factors.
    Matched MeSH terms: Reproducibility of Results
  2. Abidin, N. Z., Adam, M. B., Midi, H.
    MyJurnal
    Extreme Value Theory (EVT) is a statistical field whose main focus is to investigate extreme phenomena. In EVT, Fréchet distribution is one of the extreme value distributions and it is used to model extreme events. The degree of fit between the model and the observed values was measured by Goodness-of-fit (GOF) test. Several types of GOF tests were also compared. The tests involved were Anderson-Darling (AD), Cramer-von Mises (CVM), Zhang Anderson Darling (ZAD), Zhang Cramer von-Mises (ZCVM) and Ln. The values of parameters μ, σ and ξ were estimated by Maximum Likelihood. The critical values were developed by Monte-Carlo simulation. In power study, the reliability of critical values was determined. Besides, it is of interest to identify which GOF test is superior to the other tests for Fréchet distribution. Thus, the comparisons of rejection rates were observed at different significance levels, as well as different sample sizes, based on several alternative distributions. Overall, given by Maximum Likelihood Estimation of Fréchet distribution, the ZAD and ZCVM tests are the most powerful tests for smaller sample size (ZAD for significance levels 0.05 and 0.1, ZCVM for significance level 0.01) as compared to AD, which is more powerful for larger sample size.
    Matched MeSH terms: Reproducibility of Results
  3. Shukla V, Hussin FA, Hamid NH, Zain Ali NB
    Sensors (Basel), 2017 Jul 27;17(8).
    PMID: 28749411 DOI: 10.3390/s17081719
    With the advancement of digital microfluidics technology, applications such as on-chip DNA analysis, point of care diagnosis and automated drug discovery are common nowadays. The use of Digital Microfluidics Biochips (DMFBs) in disease assessment and recognition of target molecules had become popular during the past few years. The reliability of these DMFBs is crucial when they are used in various medical applications. Errors found in these biochips are mainly due to the defects developed during droplet manipulation, chip degradation and inaccuracies in the bio-assay experiments. The recently proposed Micro-electrode-dot Array (MEDA)-based DMFBs involve both fluidic and electronic domains in the micro-electrode cell. Thus, the testing techniques for these biochips should be revised in order to ensure proper functionality. This paper describes recent advances in the testing technologies for digital microfluidics biochips, which would serve as a useful platform for developing revised/new testing techniques for MEDA-based biochips. Therefore, the relevancy of these techniques with respect to testing of MEDA-based biochips is analyzed in order to exploit the full potential of these biochips.
    Matched MeSH terms: Reproducibility of Results
  4. Md. Muziman Syah, M. M., Mutalib, H. A., Sharanjeet Kaur, M. S., Khairidzan Khairidzan, M. K.
    MyJurnal
    Introduction: The purpose of this study was to evaluate inter-session repeatability, inter-examiner
    reproducibility and inter-device agreement of corneal power measurements from manual keratometer,
    autokeratometer, topographer, Pentacam high resolution and IOLMaster. Methods: Two sets of mean
    corneal power measurements (n=40) were compared for inter-session repeatability and inter-examiner
    reproducibility in each instrument. Repeatability and reproducibility were evaluated by within-subject
    standard deviation (Sw), coefficient of variation (COV) and intraclass correlation coefficient (ICC). A oneway
    repeated measures analysis of variance was conducted to compare differences in the corneal power
    between each instrument pair. The Bland and Altman analysis and Pearson’s correlation were employed to
    assess agreement and determine strength of relationship between measurements. Results: There were no
    significant differences in mean corneal power measurements between 2 different visits (p > 0.05). The Sw
    and COV values between 2 visits were lower than 0.09 D and 0.20 % respectively. The ICCs were stronger
    than 0.99 in all instruments. For reproducibility of each instrument, differences of the measurements
    between 2 different examiners were also insignificant (p > 0.05). The Sw and COV values between 2
    examiners were lower than 0.11 D and 0.23 % respectively. The ICCs were 0.99 and above in all instruments.
    The 95% limit of agreement between instruments ranged from -0.29 to 1.13 D and the r-values were stronger
    than 0.84. Conclusion: The corneal power measurements using these 5 instruments were repeatable and
    reproducible. These instruments can also be used interchangeably, however the topographer should be used
    with caution.
    Matched MeSH terms: Reproducibility of Results
  5. Sharif SP, Mostafiz I, Guptan V
    Nurse Res, 2019 09 21;26(2):28-31.
    PMID: 30207432 DOI: 10.7748/nr.2018.e1577
    BACKGROUND: A growing number of nursing studies have used structural equation modelling (SEM) analysis. However, there is little research assessing the use of SEM analysis in nursing research.

    AIM: To present a systematic review of nursing research that uses SEM.

    DISCUSSION: The review revealed poor reporting of information about the determination of sample size, missing data, normality and outliers. Most studies neither computed composite reliability nor assessed convergent and discriminant validity. There was a lack of consistency in performing the analysis. Some of the studies conducted exploratory factor analysis before performing confirmatory factor analysis, without discussing its necessity. Although most studies declared the estimation method and software used, there were many that did not.

    CONCLUSION: Little information about the different steps of conducting SEM analysis was provided in the studies. Weaknesses and areas of improvement for future empirical SEM studies were identified.

    IMPLICATIONS FOR PRACTICE: When conducting SEM, there are many issues that should be addressed. Overlooking these issues may invalidate findings. The results of this review provide nurse researchers with best practice guidelines for conducting SEM and pave the way for researchers to adopt this method in their studies.

    Matched MeSH terms: Reproducibility of Results
  6. Azrul Ghazali, Sivadass Thiruchelvam, Kamal Nasharuddin Mustapha, Ahmad Kamal Kadir, Fatin Faiqa Norkhairi, Nora Yahya, et al.
    ASM Science Journal, 2018;11(2):117-123.
    MyJurnal
    Series of catastrophic floods that we have witnessed over the last decade in Malaysia have necessitated the adoption of reliable early warning system. Ultimate concern during any event of natural or manmade disaster would be information dissemination to lessen the disaster impact on lives and property. The Bertam Valley incident in the wee hours of 23rd October 2013 has been considered as the game changer of how we view the role of vulnerable communities in facing dam-related disasters. Empowerment of local communities has been considered as vital in disaster management, as they are often the first responders to disaster. Local Community-Based Early Warning System (CBEWS) is a smart mechanism operated by the communities. This study revolves around the actual implementation of such system in Cameron Highlands in the effort of increasing human resilience towards damrelated disasters. While establishing the system, the Bertam Valley community has received support from different individuals and organisations. It is paramount that the community develops and maintains close coordination and strong links with these stakeholders. The performance of early warning systems can be evaluated via key parameters such as timeliness, accuracy, reliability, user friendliness, flexibility, and costs & benefits.
    Matched MeSH terms: Reproducibility of Results
  7. Karen Wong MS, Ahmad Jazimin J
    Jurnal Psikologi Malaysia, 2011;olume 25:38-43.
    The aim of this study is to measure the validity and reliability standard of Basic Needs questionnaire designed by William Glasser. This study also attempts to determine if the Basic Needs questionnaire has the high validity and reliability criteria suitable to be applied in Malaysia. Five expert panels from the counseling discipline and 119 students from two different schools were chosen for group sampling. The instrument used in this study was the questionnaire with 85 items among 5 subscale category. The data was analyzed using cronbach alpha and test-retest analysis. The result showed that half of the items in this instrument were of significantly higher quality. In the first phase, the needs coefficient scores .885. and the second phase the coefficient scored is .899. In general, the result proves that this instrument possesses a high validity and reliability standard for application in Malaysia. Several implications and suggestions are also proposed.
    Matched MeSH terms: Reproducibility of Results
  8. Jong DL, Park BG, Jung KD
    Sains Malaysiana, 2008;37:233-237.
    Bottom-contact pentacene OTFTs are fabricated using cross-linked poly(vinyl alcohol) (PVA) insulator and its reliability characteristics are analyzed. The hysteresis of the OTFTs is mainly caused by the electrons that are injected from the gate electrode to the cross-linked PVA insulator. To block the injection of electrons, plasma-enhanced chemical vapor deposition (PECVD) SiO2 layer is inserted between the gate electrode and the cross-linked PVA layer, so that the minimum hysteresis can be obtained. In addition, the effects of the gate bias stress as a function of time is investigated to examine the long-term reliability of the device during the operation.
    Matched MeSH terms: Reproducibility of Results
  9. Meseret Nasir, Wan Mansor Wan Muhamad, Raja Aziz Raja Maarof
    MyJurnal
    Cogeneration systems are extensively used in Malaysia to produce power as a primary
    source. However, in the event of cogeneration system failure, the customer or the client are
    forced to use a redundancy to avoid power interruptions. There are two methods commonly
    used as a backup in the cogeneration systems which are Generator set and public utility. In
    order to choose the best redundancy for a particular cogeneration system, it is essential to
    evaluate the economic benefit analysis by considering several factors such as Maximum
    demand charge, installation cost and Discount interest. In the evaluation of economic
    benefit, this study identifies the number of failure and associated downtime using reliability
    and availability approach, and then present value method was applied. The result shows
    that the usage of public utility as redundancy is beneficial if the cogeneration system
    operates within five years period. However, if the cogeneration system operates more than
    five years, generator set option would be a better option to minimize the total cost. This
    research also addresses the effect of various factors such as installation cost, maximum
    demand charge, fuel cost, discount interest rate and production capacity. In general, the
    output of the research would be beneficial for the plant operator to select the appropriate
    redundancy option based on the economic advantages.
    Matched MeSH terms: Reproducibility of Results
  10. Rahmati O, Choubin B, Fathabadi A, Coulon F, Soltani E, Shahabi H, et al.
    Sci Total Environ, 2019 Oct 20;688:855-866.
    PMID: 31255823 DOI: 10.1016/j.scitotenv.2019.06.320
    Although estimating the uncertainty of models used for modelling nitrate contamination of groundwater is essential in groundwater management, it has been generally ignored. This issue motivates this research to explore the predictive uncertainty of machine-learning (ML) models in this field of study using two different residuals uncertainty methods: quantile regression (QR) and uncertainty estimation based on local errors and clustering (UNEEC). Prediction-interval coverage probability (PICP), the most important of the statistical measures of uncertainty, was used to evaluate uncertainty. Additionally, three state-of-the-art ML models including support vector machine (SVM), random forest (RF), and k-nearest neighbor (kNN) were selected to spatially model groundwater nitrate concentrations. The models were calibrated with nitrate concentrations from 80 wells (70% of the data) and then validated with nitrate concentrations from 34 wells (30% of the data). Both uncertainty and predictive performance criteria should be considered when comparing and selecting the best model. Results highlight that the kNN model is the best model because not only did it have the lowest uncertainty based on the PICP statistic in both the QR (0.94) and the UNEEC (in all clusters, 0.85-0.91) methods, but it also had predictive performance statistics (RMSE = 10.63, R2 = 0.71) that were relatively similar to RF (RMSE = 10.41, R2 = 0.72) and higher than SVM (RMSE = 13.28, R2 = 0.58). Determining the uncertainty of ML models used for spatially modelling groundwater-nitrate pollution enables managers to achieve better risk-based decision making and consequently increases the reliability and credibility of groundwater-nitrate predictions.
    Matched MeSH terms: Reproducibility of Results
  11. Abd Fattah SYAS, Hariri F, Nambiar P, Abu Bakar Z, Abdul Rahman ZA
    Curr Med Imaging Rev, 2019;15(7):645-653.
    PMID: 32008512 DOI: 10.2174/1573405614666181012144745
    OBJECTIVE: To validate the accuracy of the mandibular canal region in 3D biomodel produced by using data obtained from Cone-Beam Computed Tomography (CBCT) of cadaveric mandibles.

    METHODS: Six hemi-mandible samples were scanned using the i-CAT CBCT system. The scanned data was transferred to the OsiriX software for measurement protocol and subsequently into Mimics software to fabricate customized cutting jigs and 3D biomodels based on rapid prototyping technology. The hemi-mandibles were segmented into 5 dentoalveolar blocks using the customized jigs. Digital calliper was used to measure six distances surrounding the mandibular canal on each section. The same distances were measured on the corresponding cross-sectional OsiriX images and the 3D biomodels of each dentoalveolar block.

    RESULTS: Statistically no significant difference was found when measurements from OsiriX images and 3D biomodels were compared to the "gold standard" -direct digital calliper measurement of the cadaveric dentoalveolar blocks. Moreover, the mean value difference of the various measurements between the different study components was also minimal.

    CONCLUSION: Various distances surrounding the mandibular canal from 3D biomodels produced from the CBCT scanned data was similar to that of direct digital calliper measurements of the cadaveric specimens.

    Matched MeSH terms: Reproducibility of Results
  12. Kadir NBA, Mohamad Aun NS, Ibrahim N, Mohd Nor HA, Johan D
    Data Brief, 2020 Aug;31:105795.
    PMID: 32566702 DOI: 10.1016/j.dib.2020.105795
    The article presents reliability statistics data in relation to the development of emotional instability and behavioral difficulties scale for youths in a Malaysia context. The data were obtained from youths participants in Kuala Lumpur and Klang Valley, Selangor, Malaysia. The data has four different subscales in describing emotional instability and behavioral difficulties. The data were analyzed using Cronbach's alpha, McDonald's ω, and Gutmann's λ6 to examine internal consistency test. The data showed that this new scale can be used to measure three subscales of emotional instability and one subscale of behavioral difficulties among youths in a Malaysia context.
    Matched MeSH terms: Reproducibility of Results
  13. Zamzam AH, Abdul Wahab AK, Azizan MM, Satapathy SC, Lai KW, Hasikin K
    Front Public Health, 2021;9:753951.
    PMID: 34646808 DOI: 10.3389/fpubh.2021.753951
    Medical equipment highly contributes to the effectiveness of healthcare services quality. Generally, healthcare institutions experience malfunctioning and unavailability of medical equipment that affects the healthcare services delivery to the public. The problems are frequently due to a deficiency in managing and maintaining the medical equipment condition by the responsible party. The assessment of the medical equipment condition is an important activity during the maintenance and management of the equipment life cycle to increase availability, performance, and safety. The study aimed to perform a systematic review in extracting and categorising the input parameters applied in assessing the medical equipment condition. A systematic searching was undertaken in several databases, including Web of Science, Scopus, PubMed, Science Direct, IEEE Xplore, Emerald, Springer, Medline, and Dimensions, from 2000 to 2020. The searching processes were conducted in January 2020. A total of 16 articles were included in this study by adopting Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). The review managed to classify eight categories of medical equipment reliability attributes, namely equipment features, function, maintenance requirement, performance, risk and safety, availability and readiness, utilisation, and cost. Applying the eight attributes extracted from computerised asset maintenance management system will assist the clinical engineers in assessing the reliability of medical equipment utilised in healthcare institution. The reliability assessment done in these eight attributes will aid clinical engineers in executing a strategic maintenance action, which can increase the equipment's availability, upkeep the performance, optimise the resources, and eventually contributes in providing effective healthcare service to the community. Finally, the recommendations for future works are presented at the end of this study.
    Matched MeSH terms: Reproducibility of Results
  14. Jusoh M, Dzulkarnain AAA, Rahmat S, Musa R, Che Azemin MZ
    Asia Pac Psychiatry, 2021 Jun;13(2):e12414.
    PMID: 32815284 DOI: 10.1111/appy.12414
    The aim of this study is to evaluate the psychometric properties of the Malay version of the Swanson, Nolan, and Pelham Parent Rating Scale of attention deficit hyperactivity disorders (ADHD) symptoms (M-SNAP-IV). For this purpose, the SNAP-IV scale was translated into the Malay language and was pilot-tested on 91 parents of children aged 8 to 11 years (ADHD [n = 36] and non-ADHD children [n = 55]). The findings depicted that the M-SNAP-IV has excellent content validity, internal consistency, and test-retest reliability. The M-SNAP-IV is a valid and reliable screening tool to detect ADHD symptoms in children and has the advantages to assess the specific presentation of ADHD.
    Matched MeSH terms: Reproducibility of Results
  15. Azman N, Thien LM, Abdullah MFIL, Mohd Shariff N
    PMID: 34501991 DOI: 10.3390/ijerph18179403
    (1) Background: This study aimed to assess the psychometric properties of the Malay version of SCNS-SF34 among Malaysian cancer patients. (2) Methods: This cross-sectional study involved 171 cancer patients. Data were collected using the structured five-factor survey via telephone call or face-to-face interviews. The internal reliability and the construct validity of SCNS-34M were analysed using principal component analysis with varimax rotation. (3) Results: The health system and information need (HSI) was the domain with the highest mean score (2.73 ± 0.88), followed by patient care and support needs (2.16 ± 0.90), as well as physical and daily living needs (1.99 ± 0.98). The confirmatory factor analysis indicated a moderate model fit for RMSEA with 0.070, TLI = 0.911 and CFI = 0.924. (4) Conclusions: The SCNS-SF34M was found to be a conceptually applicable and culturally appropriate scale in measuring the supportive care for cancer patients within the Malaysian context.
    Matched MeSH terms: Reproducibility of Results
  16. Awasthi A, Kumar B, Gulati M, Vishwas S, Corrie L, Kaur J, et al.
    Pharm Res, 2022 Nov;39(11):2817-2829.
    PMID: 36195824 DOI: 10.1007/s11095-022-03401-z
    PURPOSE: The aim of current study is to formulate, optimize and characterize the developed formulation of Mesalamine-Curcumin Nanostructured Lipid Carriers (Mes-Cur NLCs).

    METHODS: It was formulated using high pressure homogenization followed by probe sonication and formulation variables were optimized using Central Composite Design. The particle size (PS), zeta potential (ZP), entrapment efficiency (EE), drug release, cytotoxicity on NIH 3T3 fibroblasts cells and HaCaT keratinocytes cells and efficacy on RAW264.7 cells for optimized formulation was determined.

    RESULTS: The PS, ZP and EE were found to be 85.26 nm, -23.7 ± 7.45 mV, 99.2 ± 2.62 % (Mes) and 84 ± 1.51 % (Cur), respectively. The good correlation between predicted and obtained value indicated suitability and reproducibility of experimental design. NLCs showed spherical shape as confirmed by TEM. In vitro drug release profile of prepared formulation showed that Mes exhibited 100 % release at 48 h, whereas Cur exhibited 82.23 ± 2.97% release at 120 h. Both the drugs exhibited sustained release upon incorporation into the NLCs. The absence of any significant cell death during MTT assay performed on NIH 3T3 fibroblasts cells and HaCaT keratinocytes cells indicated that NLCs' were safe for use. Furthermore, significant reduction in nitric oxide level during anti-inflammatory evaluation of formulation on RAW264.7 cells showed excellent potential for the formulation to treat inflammation. The formulation was found stable as no significant difference between the PS, ZP and EE of the fresh and aged NLCs was observed.

    CONCLUSION: The outcomes of study deciphered successful formulation of Mes-Cur NLCs.

    Matched MeSH terms: Reproducibility of Results
  17. Ishak A, Mohamad E, Hambali A, Johari NL
    Water Sci Technol, 2022 Nov;86(9):2233-2247.
    PMID: 36378177 DOI: 10.2166/wst.2022.360
    This paper presents the promising method of synchronizing the Six Sigma and reliability analyses at 15 sewage treatment plants (STPs) operating in Melaka, Malaysia. Five different suspended growth treatment technologies in various capacities were investigated. The sequential batch reactor (SBR) and extended aeration activated sludge (EAAS) processes, conventional activated sludge (CAS), aerated lagoon (AL), and oxidation pond (OP) were compared using innovative Niku's treatment reliability and Six Sigma process capability method for biological oxygen demand (BOD5), chemical oxygen demand (COD), total suspended solids (TSS), oil and grease (O&G), and ammoniacal nitrogen (NH3-N) effluent parameters and justified the importance of understanding the lognormal behavior of the effluent parameters in interpreting the performance monitoring results and discharge compliance. The results showed that the SBR and EAAS systems relatively fulfilled the highest performance (>95%) compared to conventional systems to ensure the high quality of effluent discharge. Although the whole system is incapable of removing nutrients efficiently, ranging between 42.31% and 90.48%, may lead to eutrophication issues. Process modification and treatment control should become a critical priority in order to reduce variability, improve stability, and increase the efficiency of nutrient removal. These initiatives promote global sustainable development goals (SDGs) 2030 and the domestic water sector transformation (WST) 2040 by treatment cost reduction, improving environmental sustainability and guaranteeing social and health benefits.
    Matched MeSH terms: Reproducibility of Results
  18. Loh GOK, Wong EYL, Tan YTF, Wee HC, Ng RS, Syed HK, et al.
    Drug Dev Ind Pharm, 2022 Sep;48(9):470-479.
    PMID: 36111737 DOI: 10.1080/03639045.2022.2125985
    OBJECTIVE: The study aimed to develop a rapid, simple and sensitive LC/ESI-MS/MS method to measure prazosin concentration in human plasma and apply bedside sampling in bioequivalence study of two prazosin tablets to resolve the adverse effect of orthostatic hypotension.

    SIGNIFICANCE: The LC/ESI-MS/MS prazosin method was highly sensitive and selective. Bedside sampling reduced the orthostatic hypotension incidence and subject dropout rate.

    METHODS: After sample preparation, prazosin and terazosin (IS) were detected on mass spectrometer operating in multiple reaction monitoring mode using positive ionization. Mobile phase flow rate was set at 0.40 mL/min with sample run time of 1.75 min. The bioanalytical method was validated as per EMEA and FDA guidelines. Bedside sampling was performed in bioequivalence study for the first 4 h after dosing. The three primary pharmacokinetic parameters, Cmax, AUC0-t and AUC0-∞ and 90% confidence interval were determined.

    RESULTS: The small injection volume of 1 μL minimized instrumentation contamination and prolonged the analytical column lifespan. Linearity was obtained between 0.5 and 30.0 ng/mL, with coefficient of determination, r2 ≥ 0.99. The mean extraction recovery of prazosin and IS was >92%, with precision value (CV, %) ≤ 10.3%. Only two orthostatic hypotension adverse events were reported. The two prazosin formulations were found to be bioequivalent.

    CONCLUSION: The LC/ESI-MS/MS method has shown robustness and reliability exemplified by the incurred sample re-analysis result. Bedside sampling should be proposed for bioequivalence or pharmacokinetic studies of drugs demonstrating adverse event of orthostatic hypotension.

    Matched MeSH terms: Reproducibility of Results
  19. Muthudoss P, Kumar S, Ann EYC, Young KJ, Chi RLR, Allada R, et al.
    J Pharm Biomed Anal, 2022 Feb 20;210:114581.
    PMID: 35026592 DOI: 10.1016/j.jpba.2022.114581
    Particle size distribution (PSD), spatial location and particle cluster size of ingredients, polymorphism, compositional distribution of a pharmaceutical product are few of the most important attributes in establishing the drug release-controlling microstructural and solid state properties that would be used to (re)design or reproduce similar products. There are numerous solid-state techniques available for PSD analysis. Laser diffraction (LD) is mostly used to study PSD of raw materials. However, a constraint of LD is the interference between the active pharmaceutical ingredients (API) and excipients, where it is very challenging to measure API size in a tablet. X-ray powder diffraction (XRPD) is widely employed in establishing the polymorphism of API and excipients. This research examined a commercial osmotic tablet in terms of extracting solid state properties of API and functional excipient by Raman Imaging. Establishing repeatability, reproducibility, and sample representativeness when the samples are non-uniform and inhomogeneous necessitates multiple measurements. In such scenarios, when employing imaging-based techniques, it can be time-consuming and tedious. Advanced statistical methodologies are used to overcome these disadvantages and expedite the characterization process. Overall, this study demonstrates that Raman imaging can be employed as a non-invasive and effective offline method for assessing the solid-state characteristics of API and functional excipients in complex dosage forms like osmotic tablets.
    Matched MeSH terms: Reproducibility of Results
  20. Bukhari MM, Ghazal TM, Abbas S, Khan MA, Farooq U, Wahbah H, et al.
    Comput Intell Neurosci, 2022;2022:3606068.
    PMID: 35126487 DOI: 10.1155/2022/3606068
    Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical. Despite the use of 5G technology, delay-sensitive applications and cloud cannot go parallel due to exceeding threshold values of certain parameters like latency, bandwidth, response time, etc. Middleware proves to be a better solution to cope up with these issues while satisfying the high requirements task offloading standards. Fog computing is recommended middleware in this research article in view of the fact that it provides the services to the edge of the network; delay-sensitive applications can be entertained effectively. On the contrary, fog nodes contain a limited set of resources that may not process all tasks, especially of computation-intensive applications. Additionally, fog is not the replacement of the cloud, rather supplement to the cloud, both behave like counterparts and offer their services correspondingly to compliance the task needs but fog computing has relatively closer proximity to the devices comparatively cloud. The problem arises when a decision needs to take what is to be offloaded: data, computation, or application, and more specifically where to offload: either fog or cloud and how much to offload. Fog-cloud collaboration is stochastic in terms of task-related attributes like task size, duration, arrival rate, and required resources. Dynamic task offloading becomes crucial in order to utilize the resources at fog and cloud to improve QoS. Since this formation of task offloading policy is a bit complex in nature, this problem is addressed in the research article and proposes an intelligent task offloading model. Simulation results demonstrate the authenticity of the proposed logistic regression model acquiring 86% accuracy compared to other algorithms and confidence in the predictive task offloading policy by making sure process consistency and reliability.
    Matched MeSH terms: Reproducibility of Results
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