Occurrence of Aspergillus spp. and aflatoxin B1 in Malaysian foods used for human consumption

Malaysian population widely consumes the cereal-based foods, oilseeds, nuts, and spices in their daily diet. Mycotoxigenic fungi are well known to invade food products under storage conditions and produce mycotoxins that have threat to human and animal health. Therefore, determining toxigenic fungi and aflatoxin B(1) (AFB1) in foods used for human consumption is of prime importance to develop suitable management strategies and to minimize risk. Ninety-five food products marketed in Penang, Malaysia were randomly collected from different supermarkets and were analyzed for presence of Aspergillus spp. by agar plate assay and AFB1 by enzyme-linked immunosorbent assay (ELISA). A. flavus was the dominant fungi in all foods followed by A. niger. Fifty-five A. flavus strains were tested for their ability to produce aflatoxins on rice grain substrate. Thirty-six (65.4%) strains out of 55 produced AFB1 ranging from 1700 to 4400 μg/kg and 17 strains (31%) produced AFB2 ranging from 620 to 1670 μg/kg. Natural occurrence of AFB1 could be detected in 72.6% food products ranging from 0.54 to 15.33 μg/kg with a mean of 1.95 μg/kg. Maximum AFB1 levels were detected in peanut products ranging from 1.47 to 15.33 μg/kg. AFB1 levels detected in all food products were below the Malaysian permissible limits (<35 μg/kg). Aspergillus spp. and AFB1 was not detected in any cookies tested. Although this survey was not comprehensive, it provides valuable information on aflatoxin levels in foods marketed in Malaysia.     

Photovoltaic technology in Malaysia: past,present, and future plan

This article presents solar energy or specifically the solar photovoltaic (PV) development outlook in Malaysia. The paper first introduces the massive potential of solar energy in the country, the key players in the solar energy development and the early solar energy policies, and programmes in the country. The most important to the PV development is the Malaysia Building Integrated Photovoltaic initiative, which is presented in this paper followed by an explanation on the Feed-in Tariff recently introduced in the country to encourage new solar PV projects. The outlook for solar PV in Malaysia is optimistic and as the uptake of solar PV increases, the unit cost is coming down rapidly. Solar PV is expected to be the most competitive Renewable Energy (RE) source, with the potential to achieve grid parity for electrical power in the country in the near future, and surpassing all other REs combined by 2050.     

Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: A stochastic frontier analysis

This study examines the total factor productivity (TFP) growth of the Malaysian electricity generation industry over the 1998 to 2005 period. The stochastic frontier analysis (SFA) approach is used to measure TFP change and decompose TFP growth into efficiency change and technical progress. We find that it achieved average annual TFP growth of 2.34%, with technical change contributing the most to the TFP growth over the eight year period. We hence hypothesise that the new power plants with their newer capital-embodied technologies commencing during the sample period are likely to be the main reason for this strong technical change. In addition, it is also noted that this estimate for the Malaysian electricity generation industry is larger than the estimate obtained for the electricity sector as a whole, where we obtain 1.34% per year for a comparable period.     

Malaysia’s electricity market structure in transition

The Malaysian electricity industry evolved from a vertically integrated utility into a single-buyer model, which considered a precursor to deregulation and a competitive market. This study considers electricity sector reform in Malaysia and proposes a market structure for the industry. We focus on the single-buyer model and the pool model for the analysis with the recommendation on reform stages required to ensure a smooth and successful market transition. A smooth transition from regulated market into deregulated market will ensure market stability and sustainability of the energy market. It will also provide enough time for the market participants to adapt and transit from regulated to deregulated energy market.     

Combustion and emission performances of coconut,palm and soybean methyl esters under reacting spray flame conditions

The spray combustion characteristics of coconut (CME), palm (PME) and soybean (SME) biodiesels/methyl esters were compared with diesel by using an axial swirl flame burner. Atomisation of the liquid fuels was achieved via an airblast-type nozzle with varied atomising air-to-liquid ratios (ALR) of 2–2.5. The fully developed sprays were mixed with strongly swirled air to form combustible mixtures prior to igniting at the burner outlet. Under fuel-lean condition, biodiesel spray flames exhibited bluish flame core without the yellowish sooty flame brush, indicating low sooting tendency as compared to baseline diesel. Increasing the atomising air led to the reduction of flame length but increase in flame intensity. Measurements of post-combustion emissions show that SME produced higher NO as compared to CME and PME due to higher degree of unsaturation, while the most saturated CME showed the lowest NO and CO emissions amongst the biodiesels tested across all equivalence ratios. By preheating the main swirl air to 250 °C, higher emissions of NO, CO and CO₂ were observed for biodiesels. Higher ALR led to reduced NO and CO emissions regardless of the fuel used, making it a viable strategy to resolve the simultaneous NOCO reduction conundrum. This work shows that despite different emission characteristics exhibited by biodiesels produced from different feedstock, they are in principle potential supplemental fuels for practical combustion systems. The pollutants emitted can be mitigated by operating at higher ALR in a twin-fluid based swirl combustor.     

Unearthing the determinants of Blockchain adoption in supply chain management

The behavioural intention to adopt Blockchain for supply chain management (BCSCM) is studied in this paper. The research framework adopted considers how Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Condition (FC), Technology Readiness (TR), Technology Affinity (TA) and Trust (TT) can lead to the adoption of the technology. Data gathered from 157 firms is analysed using SPSS version 2 while the quality of the measurement is tested using WarpPLS. Findings revealed that FC, TR and TA have a positive influence on intention to use BCSCM and regulatory support moderates the effect of FC. This study offers valuable insights into the applicability of Blockchain technology for supply chain management.     

Housing design in relation to environmental comfort

The School of Architecture has undertaken several research projects on improving the characteristics of local building materials and some of these materials have been tested in a low cost detached house which was used to monitor and measure air temperature, mean radiant temperature, relative humidity and air velocity. Comparisons are made between cluster, terraced, walk-up and detached housing.     

Supply chain information integration and its impact on the operational performance of manufacturing firms in Malaysia

PurposeThe purpose of this paper is to investigate the impact of Supply Chain Information Integration (SCII) on the Operational Performance of manufacturing firms in Malaysia considering the role of information leakage.Design/methodology/approachTo test the model developed, we conducted an online questionnaire survey with Malaysian manufacturing companies drawn from the Federation of Malaysian Manufacturers directory of 2018. Out of the 400 questionnaires sent out to the manufacturing companies, 144 useable responses were received giving a response rate of 36 %. The data were analyzed using SmartPLS, a second-generation statistical tool.FindingsThe findings of this study showed that information quality, information security, and information technology (IT) had a positive effect on SCII with an explanatory power of 47.2 % while SCII, in turn, had a positive effect on operational performance explaining 17% of the variance. Intentional information leakage (IIL) moderated the relationship between SCII and operational performance, whereas accidental information leakage did not moderate the same relationship.Practical implicationsThis study provides insights into difficulties faced when implementing SCII, particularly by medium and large manufacturing companies in Malaysia. It helps identify appropriate strategies that can guide the management in its effort to improve performance by SCII.Originality/valueThis research is arguably the first study that simultaneously investigates the effect of information quality, IT, and information security on SCII and the moderating effect of information leakage on the relationships between SCII and operational performance. The results of this study indicate that information security has the largest impact on SCII, followed by IT, and information quality. Furthermore, IIL as a negative aspect of information integration may deprive the strength of the relationship between SCII and operational performance.     

A national research and development blueprint for sustainable lake basin management in Malaysia

The deterioration of water quality in lakes resulting from unsustainable catchment practices requires concerted efforts to address them, in the form of cooperation among government agencies and institutions, private bodies and the community‐at‐large. Research that provides an understanding of a lake's ecosystem is an important aspect of making informed decisions for sustainable management and governance of lakes. The present study describes the findings of literature reviews on Malaysian lakes, and the national efforts made to establish an agenda for lake research and development in Malaysia directed towards integrated lake basin management (ILBM). The main findings and outcomes of the National Lake Research Blueprint workshop in April 2014 on the issues facing lakes and reservoirs are highlighted. Seven research themes were identified, namely (i) ecosystem services and socio‐economic development, (ii) governance, (iii) water quality and pollution, (iv) eco‐hydrology and basin management, (v) biodiversity and natural products, (vi) physical limnology and hydrodynamics and (vii) technology. The goal is to enhance research and development on sustainable lake basin management directed to conservation and development targets. The findings of this study provide an integrated research framework that can support ILBM governance elements (pillars) elsewhere, and to call for researchers to participate in much‐needed research areas.     

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

This paper presents landslide-susceptibility mapping using an adaptive neuro-fuzzy inference system (ANFIS) using a geographic information system (GIS) environment. In the first stage, landslide locations from the study area were identified by interpreting aerial photographs and supported by an extensive field survey. In the second stage, landslide-related conditioning factors such as altitude, slope angle, plan curvature, distance to drainage, distance to road, soil texture and stream power index (SPI) were extracted from the topographic and soil maps. Then, landslide-susceptible areas were analyzed by the ANFIS approach and mapped using landslide-conditioning factors. In particular, various membership functions (MFs) were applied for the landslide-susceptibility mapping and their results were compared with the field-verified landslide locations. Additionally, the receiver operating characteristics (ROC) curve for all landslide susceptibility maps were drawn and the areas under curve values were calculated. The ROC curve technique is based on the plotting of model sensitivity — true positive fraction values calculated for different threshold values, versus model specificity — true negative fraction values, on a graph. Landslide test locations that were not used during the ANFIS modeling purpose were used to validate the landslide susceptibility maps. The validation results revealed that the susceptibility maps constructed by the ANFIS predictive models using triangular, trapezoidal, generalized bell and polynomial MFs produced reasonable results (84.39%), which can be used for preliminary land-use planning. Finally, the authors concluded that ANFIS is a very useful and an effective tool in regional landslide susceptibility assessment.