Stability And Thermal Properties Of Hydroxyl Multiwalled Carbon Nanotubes In Different Medium

Nanotechnology has introduce nanofluids as suspension of nanoparticles in the base fluids. The nanoparticles dispersion in fluids due to thermal properties limitation. Hence, inclusion of MWCNT-OH nanoparticles and PVP in base fluids could enhance the thermal properties and the nanofluids stability. Futhermore, the low boiling point and high freezing point of deionized water has causes another problem and be solve by mixed this fluid with ethylene glycol which act as antifreeze fluid. Intention of this research are to investigate the nanofluid dispersion and stability and as well as thermal properties performance. The two-step method is used in formulazation of nanofluid on concentration 0.1 wt% to 1.0 wt% of MWCNT-OH and base fluid deionized water to ethylene glycol ratio is 0:100%, 100:0%, 90:10%, 80:20%, 70:30%, 60:40% and 50:50%. The dispersion process has selected 5 minutes dispersion process as the optimum time in getting better dispersion and stability of nanofluids. The nanofluids has been tested at 6°C, 25°C and 40°C in thermal conductivity and heat transfer coefficient test. In thermal conductivity test, addition of MWCNT-OH in deionized water is the highest thermal conductivity enhancement which 21.21% (0.4 wt%) at 40°C. However, the thermal conductivity decrement also happens on deionized water based nanofluids at range concentration 0.3 wt% and 0.5 wt% till 1.0 wt% at 40°C. Moreover, the thermal conductivity results is fluctuated or inconsistent with increment of temperature and concentration. Hence, it mean thermal conductivity is independent on temperature and concentration. Meanwhile, heat transfer coefficient is increases with increment of temperature and nanoparticles concentration. The highest enhancement of heat transfer coefficient is occurs on ratio 70:30;DI:EG which has 104.3% at 40°C and 1.0 wt%. The overall increment of heat transfer coefficient occurs on 1.0 wt% and 40°C. Only on 0:100; DI:EG, and 60:40; DI EG has the highest enhancement on 25°C. Besides, ethylene glycol based nanofluids has high heat transfer coefficient on 6°C.In specific heat test, addition of MWCNT-OH has decreased the specific heat exclude on 0.8 wt% of ethylene glycol based nanofluids. This test is conducted in room temperature. Based on these results, concentration, nanoparticles properties and coagulation in nanofluids causes specific heat decrement. Whilst, surface energy, nanoparticles size and area are contributed in high specific heat. To sum up, seeding of MWCNT-OH in fluids has enhanced the thermal properties on certain concentration and temperature

Applying FRBR model to bibliographic works on Al-Quran

This study explores the feasibility of applying the object-oriented Functional Requirements for Bibliographic Records (FRBR) model to MARC-based bibliographic records on the Al-Quran. Based on the content analysis of 127 MARC-based bibliographic records on Al-Quran from the International Islamic University Malaysia (IIUM) OPAC system, this paper reports on the process of mapping FRBR entities to set of works on Al-Quran. The attributes of the bibliographic works in the MARC records were identified and grouped according to the FRBR entities. The findings suggest that, overall, most of the MARC-based bibliographic records on Al-Quran were sufficient to represent the FRBR model. However, several issues were identified as affecting the process of creating entity-relationship model for “FRBRizing” bibliographic works on Al-Quran. These include inconsistencies in romanizing records in Arabic scripts, difficulties in identifying complex works, missing fields for subject headings, and missing fields for record-object relationship identification. Thus, a major conclusion drawn is that the quality of MARC records is an important aspect in ensuring the bibliographic records are having complete, correct, and reliable data for FRBRization process

Comparison of physiological and 2d kinematic variables during 2 km time trial on stationary versus dynamic rowing ergometer

This study was conducted to evaluate the differences of physiological and biomechanical variables during 2 km rowing time trials on a stationary versus dynamic ergometer. Ten state-level rowers (male: 6, female: 4) voluntarily participated in the study. Two sessions of 2 km time trial were conducted: one on a static ergometer and another on a dynamic ergometer. Data on oxygen consumption, blood lactate concentration, maximum heart rate, stroke rate, time to completion and lower limb angles at sagittal plane were collected and analysed during the tests. A paired T-test was used to compare the physiological and biomechanical variables across stationary and dynamic ergometer. Stroke rate, maximum heart rate, drive to recovery phase ratio and VO2max showed statistically significant differences during 2 km rowing time trials on stationary versus dynamic ergometer. Moreover, VO2max was inversely related with high correlation to time to completion of 2 km rowing test on both ergometers. Height, body fat and VO2max are the major determinants of 2 km rowing time trials on stationary and dynamic ergometer. The outcomes from this study are important to enhance rowing performance especially for rowers

Metadata interoperability requirements for aggregating Islamic manuscript bibliographic records

The advancement in ICT has facilitated the access to rare, valuable, Islamic heritage resources such as manuscripts. Efforts to preserve and disseminate information about precious Islamic manuscripts have been evidenced through initiatives such as digital library projects and online catalogs. Accessibility to Islamic manuscripts housed in various repositories in institutions around the world can be enhanced through the creation of a central gateway interface. This requires the aggregation of bibliographic records surrogating the manuscripts. However, metadata interoperability has been found to be an important determinant in successful records aggregation. This paper discusses factors affecting metadata interoperability among various repositories housing Islamic manuscript from around the world. It also proposes to investigate how library professionals and users view metadata standards, and the issues associated with metadata interoperability in order to establish a shareable metadata for Islamic manuscripts

Prediction of Bioprocess Production Using Deep Neural Network Method

Deep learning enhanced the state-of-the-art methods in genomics allows it to be used in analysing the biological data with high prediction. The training process of neural network with several hidden layers which has been facilitated by deep learning has been subjected into increased interest in achieving remarkable results in various fields. Thus, the extraction of bioprocess production can be implemented by pathway prediction in genomic metabolic network in eschericia coli. As metabolic engineering involves the manipulation of genes which have the potential to increase the yield of metabolite production. A mathematical model of this network is the foundation for the development of computational procedure that directs genetic manipulations that would eventually lead to optimized bioprocess production. Due to the ability of deep learning to be well suited in terms of genomics, modelling for biological network can be implemented. Each layer reveal the insight of biological network which enable pathway analysis to be implemented in order to extract the target bioprocess production. In this study, deep neural network has been to identify any set of gene deletion models that offers optimal results in xylitol production and its growth yield.

Cataloguer Acceptance on Cataloguing Module in Open-Source Integrated Library System in Academic Library in Malaysia

This paper aims to identify the acceptance of cataloguers on cataloguing modules in the Open-Source Integrated Library System in an academic library in Malaysia. The research design adopted for this study is descriptive research surveys. This study involved cataloguers in the academic university library in Malaysia that have used Koha as their open-source software since 2013. The survey used an online questionnaire distributed via email to all cataloguers in the selected libraries. The questionnaire comprises questions related to acceptance of module features and module usability on the cataloguing module. The 5-point Likert scale is used to measure the cataloguer acceptance of the cataloguing module, and the data were analysed using SPSS. The findings conclude that the majority of the cataloguers in academic libraries in Malaysia use open-source integrated library system similar to this study, Koha, and have entirely accepted the use of cataloguing module in terms of usability and features as the majority of the data reported on agreement of the user compared to a minority of disagreement. The findings of this study will encourage other researchers to do other studies on the usability of other modules in the open-source system that might improve the acceptance of open-source software

A network analysis of shariah-compliant stocks across global financial crisis: a case of Malaysia

minimum spanning tree (MST) technique is used to visualize the structure. This paper investigates the topological structure of 125 shariah-compliant stocks traded in Bursa Malaysia from the year 2000 until 2017. Financial networks of the shariah-compliant stocks are constructed using MST for three duration periods namely the precrisis, during crisis and post-crisis. To determine the important stocks in the networks, centrality measures are applied such as degree centrality, betweenness centrality, closeness centrality and eigenvector centrality. Lastly, overall centrality measures are computed to identify the overall characteristic of each node. The findings showed that, KUB Malaysia Berhad was the most influential stock in the pre-crisis and crisis periods. While, MK Land Holdings was the main stock in the post-crisis network

Heart rate reading patterns at moment of information overload during online information searching

Users are confronted with information overload when searching for information in virtual libraries. Studies claim that information overload leads to changes in the physiological signals of an individual which later results in decreased efficiency in information processing. There is a strong perception that when something changes, there is a moment in which the change occurs. The primary purpose of this research is to detect an indication at the moment of change occurring when searching in virtual libraries by focusing on the pattern reflected in physiological data that can potentially be used as a signal to convey information overload. This study adopted user test methods and methods from psychophysiology.The results from quantitative analysis were presented through graphs and tables.The results indicated that heart rate measurement was the best measure compared to other physiological measurements and the underlying pattern signalling information overload was presented in the form of a matrix. Recommendations for future work include using the pattern to design an application to monitor information load in individuals