Displaying publications 81 - 100 of 751 in total

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  1. Approaches for controlling illicit tobacco trade--nine countries and the European Union
    Ross H, Husain MJ, Kostova D, Xu X, Edwards SM, Chaloupka FJ, et al.
    MMWR Morb Mortal Wkly Rep, 2015 May 29;64(20):547-50.
    PMID: 26020137
    An estimated 11.6% of the world cigarette market is illicit, representing more than 650 billion cigarettes a year and $40.5 billion in lost revenue. Illicit tobacco trade refers to any practice related to distributing, selling, or buying tobacco products that is prohibited by law, including tax evasion (sale of tobacco products without payment of applicable taxes), counterfeiting, disguising the origin of products, and smuggling. Illicit trade undermines tobacco prevention and control initiatives by increasing the accessibility and affordability of tobacco products, and reduces government tax revenue streams. The World Health Organization (WHO) Protocol to Eliminate Illicit Trade in Tobacco Products, signed by 54 countries, provides tools for addressing illicit trade through a package of regulatory and governing principles. As of May 2015, only eight countries had ratified or acceded to the illicit trade protocol, with an additional 32 needed for it to become international law (i.e., legally binding). Data from multiple international sources were analyzed to evaluate the 10 most commonly used approaches for addressing illicit trade and to summarize differences in implementation across select countries and the European Union (EU). Although the WHO illicit trade protocol defines shared global standards for addressing illicit trade, countries are guided by their own legal and enforcement frameworks, leading to a diversity of approaches employed across countries. Continued adoption of the methods outlined in the WHO illicit trade protocol might improve the global capacity to reduce illicit trade in tobacco products.
    Matched MeSH terms: Tobacco Industry
  2. Artificial intelligence in drug development: present status and future prospects
    Mak KK, Pichika MR
    Drug Discov Today, 2019 03;24(3):773-780.
    PMID: 30472429 DOI: 10.1016/j.drudis.2018.11.014
    Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could be utilised to revolutionise the drug development process. At present, the pharmaceutical industry is facing challenges in sustaining their drug development programmes because of increased R&D costs and reduced efficiency. In this review, we discuss the major causes of attrition rates in new drug approvals, the possible ways that AI can improve the efficiency of the drug development process and collaboration of pharmaceutical industry giants with AI-powered drug discovery firms.
    Matched MeSH terms: Drug Industry
  3. Asia-Pacific mussel watch: monitoring contamination of persistent organochlorine compounds in coastal waters of Asian countries
    Monirith I, Ueno D, Takahashi S, Nakata H, Sudaryanto A, Subramanian A, et al.
    Mar Pollut Bull, 2003 Mar;46(3):281-300.
    PMID: 12604061
    Contamination of persistent organochlorines (OCs) such as PCBs (polychlorinated biphenyls), DDT and its metabolites (DDTs), HCH (hexachlorocyclohexane) isomers (HCHs), chlordane compounds (CHLs), and HCB (hexachlorobenzene) were examined in mussels collected from coastal waters of Asian countries such as Cambodia, China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Philippines, Far East Russia, Singapore, and Vietnam in 1994, 1997, 1998, 1999, and 2001 to elucidate the contamination status, distribution and possible pollution sources and to assess the risks on aquatic organisms and human. OCs were detected in all mussels collected from all the sampling sites investigated. Considerable residue levels of p,p(')-DDT and alpha-HCH were found in mussels and the concentrations of DDTs and HCHs found in mussels from Asian developing countries were higher than those in developed nations suggesting present usage of DDTs and HCHs along the coastal waters of Asian developing countries. On the other hand, lower concentrations of PCBs detected in mussels from Asian developing countries than those in developed countries indicate that PCBs contamination in mussels is strongly related to industrial and activities. To our knowledge, this is a first comprehensive report on monitoring OCs pollution in the Asia-Pacific region.
    Matched MeSH terms: Industry
  4. Fulltext Aspergillus sydowii strain SCAU066 and aspergillus versicolor isolate BAB-6580: potential source of xylanolytic, cellulolytic and amylolytic enzymes
    Nur Syahira Mohammad, Zaidah Zainal Ariffin
    Science Letters, 2020;14(2):15-23.
    MyJurnal
    Fungi is known to produce a wide range of biologically active metabolites and enzymes. Enzymes produced by fungi are utilized in food and pharmaceutical industries because of their rich enzymatic profile. Filamentous fungi are particularly interesting due to their high production of extracellular enzymes which has a large industrial potential. The aim of this study is to isolate potential soil fungi species that are able to produce functional enzymes for industries. Five Aspergillus species were successfully isolated from antibiotic overexposed soil (GPS coordinate of N3.093219 E101.40269) by standard microbiological method. The isolated fungi were identified via morphological observations and molecular tools; polymerase chain reactions, ITS 1 (5’- TCC GTA GGT GAA CCT GCG G3’) forward primer and ITS 4 (5’-TCC TCC GCT TAT TGA TAT GC-3’) reverse primer. The isolated fungi were identified as Aspergillus sydowii strain SCAU066, Aspergillus tamarii isolate TN-7, Aspergillus candidus strain KUFA 0062, Aspergillus versicolor isolate BAB-6580, and Aspergillus protuberus strain KAS 6024. Supernatant obtained via submerged fermentation of the isolated fungi in potato dextrose broth (PDB) and extracted via centrifugation was loaded onto specific media to screen for the production of xylanolytic, cellulolytic and amylolytic enzymes. The present findings indicate that Aspergillus sydowii strain SCAU066 and Aspergillus versicolor isolate BAB-6580 have great potential as an alternative source of xylanolytic, cellulolytic and amylolytic enzymes.
    Matched MeSH terms: Drug Industry
  5. Fulltext Assessing biofilm formation by Listeria monocytogenes
    Fouladynezhad, N., Afsah-Hejri, L., Rukayadi, Y., Abdulkarim, S.M., Son, R., Marian, M.N.
    International Food Research Journal, 2013;20(2):987-990.
    MyJurnal
    Listeria monocytogenes (L. monocytogenes) is a serious food-borne pathogen for immunocompromised individuals. L. monocytogenes is capable of producing biofilm on the surface of food processing lines and instruments. The biofilm transfers contamination to food products and impose risk to public health. Transfers contamination to food products, and impose risk hazard to public health. The aim of this study was to investigate biofilm producing ability of L. monocytogenes isolates. Microtitre assay was used to measure the amount of biofilm production by ten L. monocytogenes isolates from minced chicken / meat, sausages and burgers. Results showed that all 10 L. monocytogenes isolates were able to form biofilm after 24 h at 20˚C on polystyrene surface (the common surface in food industries). Some strains were capable of forming biofilm more than the others. All strains showed a slight raise in the quantities of attached cells over 48 and 72 h. L. monocytogenes strains isolated from minced chicken, minced meat and burgers were better biofilm-producers comparing to the strains isolated from sausages.
    Matched MeSH terms: Food Industry
  6. Assessing the efficiency and total factor productivity growth of the banking industry: do environmental concerns matters?
    Shair F, Shaorong S, Kamran HW, Hussain MS, Nawaz MA, Nguyen VC
    Environ Sci Pollut Res Int, 2021 Apr;28(16):20822-20838.
    PMID: 33405126 DOI: 10.1007/s11356-020-11938-y
    This paper investigates the efficiency and total factor productivity (TFP) growth of the Pakistani banking industry and determines the impact of risk and competition on the efficiency and TFP growth. The data envelopment analysis (DEA)-based Malmquist productivity index is used to measure efficiency and TFP growth of the Pakistani banking industry. The generalized method of moments (GMM) model is applied to observe the impact of risk and competition on efficiency and TFP growth. The motivation behind the use of GMM model is its ability to overcome unobserved heterogeneity, autocorrelation, and endogeneity issues. The results of the study show that the credit and liquidity risks have positive while insolvency risk has negative effect on the efficiency and TFP growth. The competition leads to improve technological efficiency but declines the technical efficiency growth. Among other explanatory variables, operational cost management, banking sector development, GDP growth rate, and infrastructure development show significant relationships with various efficiencies and TFP growth. The banks also facilitate for the purchase of carbon-intensive products in order to reduce carbon emissions. Strong banking development successfully allocate their financial resources for the development of energy-efficient technology while banking sector development is found to be negatively related with environmental sustainability. The strong banking sector possesses a significant negative influence on carbon reduction and environmental degradation.
    Matched MeSH terms: Industry*
  7. Fulltext Assessments of Process Parameters on Cutting Force and Surface Roughness during Drilling of AA7075/TiB2 In Situ Composite
    Parasuraman S, Elamvazuthi I, Kanagaraj G, Natarajan E, Pugazhenthi A
    Materials (Basel), 2021 Mar 31;14(7).
    PMID: 33807476 DOI: 10.3390/ma14071726
    Reinforced aluminum composites are the basic class of materials for aviation and transport industries. The machinability of these composites is still an issue due to the presence of hard fillers. The current research is aimed to investigate the drilling topographies of AA7075/TiB2 composites. The samples were prepared with 0, 3, 6, 9 and 12 wt.% of fillers and experiments were conducted by varying the cutting speed, feed, depth of cut and tool nose radius. The machining forces and surface topographies, the structure of the cutting tool and chip patterns were examined. The maximum cutting force was recorded upon increase in cutting speed because of thermal softening, loss of strength discontinuity and reduction of the built-up-edge. The increased plastic deformation with higher cutting speed resulted in the excess metal chip. In addition, the increase in cutting speed improved the surface roughness due to decrease in material movement. The cutting force was decreased upon high loading of TiB2 due to the deterioration of chips caused by fillers. Further introduction of TiB2 particles above 12 wt.% weakened the composite; however, due to the impact of the microcutting action of the fillers, the surface roughness was improved.
    Matched MeSH terms: Industry
  8. Fulltext Association between awkward posture and musculoskeletal disorders (MSD) among assembly line workers in an automotive industry
    Anita, A.R., Yazdani, A., Hayati, K.S., Adon, M.Y.
    Malaysian Journal of Medicine and Health Sciences, 2014;10(1):23-28.
    MyJurnal
    Automotive industry in Malaysia is one of the booming industries which encompass the design, development and manufacturing of motor vehicles. However, it has its own setback as the interaction between complex tools, machines, and instruments, coupled with humans as workers pose several health hazards. A cross-sectional study was conducted to determine the prevalence of musculoskeletal disorders (MSD) and the association with awkward posture among automotive assembly line workers. A simple random sampling method was adopted and data were collected based on Standardized Nordic Questionnaire (SNQ) and Rapid Upper Limb Assessment (RULA) method for analysing awkward posture. With a response rate of 83%, a total of 232 assembly line workers with at least one year job tenure participated in this study. The findings revealed that 78.4% of workers reported MSD while the highest percentage of complaints concerned the lower back (50.9%). Three factors were found to be significantly associated with MSD: age (χ2=5.61, p=0.018), job tenure (χ2= 8.26, p=0.004) and awkward posture (χ2= 65.37, p < 0.001). Logistic regression analysis indicated that significant risk factors for MSD symptoms were workers aged ≥ 25 years old (OR= 2.25, 95%CI 1.14-4.46) and those workers with equal and more than three years job tenure (OR= 2.44, 95%CI 1.04-5.63). In addition, workers in the very high and high RULA action level who were 69 times (OR = 69.38, 95%CI 14.51- 331.73) and 12 times (OR = 12.42, 95%CI 5.21-29.58), respectively, also had higher odds of complaints of MSD. The high prevalence of MSD shows that MSD symptoms is a significant problem among automotive assembly line workers while age, job tenure and awkward posture based on RULA action level are the significant factors for MSD. In particular, this study proves that the prevalence of MSD increases as the RULA action level and job tenure increases. Thus, this problem could be reduced by decreasing RULA action level through appropriate ergonomic workstation design and ergonomic training for workers.
    Matched MeSH terms: Industry
  9. Fulltext Association between medicine Price declaration by pharmaceutical industries and retail prices in Malaysia's private healthcare sector
    Ahmad NS, Hatah E, Makmor-Bakry M
    J Pharm Policy Pract, 2019;12:15.
    PMID: 31304021 DOI: 10.1186/s40545-019-0176-z
    Background: As part of the initiatives to increase price transparency for consumers, pharmaceutical industry in Malaysia have been encouraged to declare the wholesale and recommended retail prices (RRP) of medicines to the Pharmaceutical Service Department (PSD) yearly. However, the relationship between the voluntary price reporting practices and consumers' retail medicine price is unknown. Therefore, this study aims to evaluate the effect of the voluntary price reporting practice of pharmaceutical industry on retail medicine prices, factors that may affect consumer medicine prices in Malaysia's private healthcare sector, and the retail medicine pricing trend over 2011-2015.

    Methods: A yearly correlation test for a 5-year period was performed to investigate the association between the wholesale and RRP medicine prices declared by the pharmaceutical industry from 2011 to 2015 on the one hand and the consumer wholesale and retail medicine price database on the other hand. The median price ratio (MPR) was calculated by comparing the consumer retail medicine price to its international reference price. The Krukal Wallis test was used to analyse the pricing trend throughout the 5-year period, and factors that might elevate the MPR above 2.5 were modelled using binary logistic regression.

    Results: A total of 2527 medicine price data were analysed. There was a strong significant association between medicine prices declared to the PSD and the retail medicine prices in every year of the 5-year period. Moreover, there was no significant increase in retail medicine prices throughout the 5-year period. The medicine types, retail location, type of manufacturer, medicinal indications, declared wholesale and RRPs significantly influenced the consumer MPRs that where > 2.5.

    Conclusion: The declared medicine price was found to have a significant association with the consumer retail medicine price. Thus, it may be a useful reference for consumers purchasing medicines in private healthcare settings. However, the government of Malaysia must develop strategies to increase medicine price transparency for price-control mechanisms in the private healthcare sector.

    Matched MeSH terms: Drug Industry
  10. Atmospheric PCDDs/PCDFs levels and occurrences in Southeast Asia: A review
    Zain SMSM, Latif MT, Baharudin NH, Anual ZF, Mohd Hanif N, Khan MF
    Sci Total Environ, 2021 Aug 20;783:146929.
    PMID: 34088111 DOI: 10.1016/j.scitotenv.2021.146929
    Polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) are toxic compounds derived from anthropogenic sources that stay in the environment for long periods. Ambient air has become the most important pathway for the transfer of PCDDs/PCDFs from emission sources to the environment. This review intends to summarise the information available on atmospheric PCDDs/PCDFs in the countries of Southeast Asia to provide a detailed description of the trends in PCDDs/PCDFs emissions, key sources, and levels in urban, rural, and industrial air as reported in peer-reviewed literature since 2000 and by the United Nations Environment Programme. As the largest country in Southeast Asia, Indonesia is the major PCDDs/PCDFs emitter, accounting for 72.81% of the total release of PCDDs/PCDFs in the air from all available inventories in this region, while Brunei Darussalam is the lowest emitter, contributing to less than 0.02%. Open burning processes have become the largest source of ambient PCDDs/PCDFs in the region (69.62%), followed by waste incineration (10.69%), and ferrous and non-ferrous metal production (8.78%). PCDDs/PCDFs levels in rural areas ranged between 10 and 38 fg TEQ m-3; however, where open burning waste has occurred, the levels rose to 12-29 times higher. In urban areas, ambient levels were 15 times greater than in rural areas, varying from 23 to 565 fg TEQ m-3. Atmospheric concentrations near industrial palm oil and waste incinerator sites were between 64 and 1530 fg TEQ m-3. The non-cancer risk of ambient exposure to PCDDs/PCDFs through inhalation is low among populations near facilities emitting PCDDs/PCDFs. The lack of local technical capacity, the high economic costs, and the lack of established human resource capacities have been the major challenges in conducting ambient PCDDs/PCDFs studies in most countries in the region.
    Matched MeSH terms: Industry
  11. Fulltext Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach
    Murat M, Chang SW, Abu A, Yap HJ, Yong KT
    PeerJ, 2017;5:e3792.
    PMID: 28924506 DOI: 10.7717/peerj.3792
    Plants play a crucial role in foodstuff, medicine, industry, and environmental protection. The skill of recognising plants is very important in some applications, including conservation of endangered species and rehabilitation of lands after mining activities. However, it is a difficult task to identify plant species because it requires specialized knowledge. Developing an automated classification system for plant species is necessary and valuable since it can help specialists as well as the public in identifying plant species easily. Shape descriptors were applied on the myDAUN dataset that contains 45 tropical shrub species collected from the University of Malaya (UM), Malaysia. Based on literature review, this is the first study in the development of tropical shrub species image dataset and classification using a hybrid of leaf shape and machine learning approach. Four types of shape descriptors were used in this study namely morphological shape descriptors (MSD), Histogram of Oriented Gradients (HOG), Hu invariant moments (Hu) and Zernike moments (ZM). Single descriptor, as well as the combination of hybrid descriptors were tested and compared. The tropical shrub species are classified using six different classifiers, which are artificial neural network (ANN), random forest (RF), support vector machine (SVM), k-nearest neighbour (k-NN), linear discriminant analysis (LDA) and directed acyclic graph multiclass least squares twin support vector machine (DAG MLSTSVM). In addition, three types of feature selection methods were tested in the myDAUN dataset, Relief, Correlation-based feature selection (CFS) and Pearson's coefficient correlation (PCC). The well-known Flavia dataset and Swedish Leaf dataset were used as the validation dataset on the proposed methods. The results showed that the hybrid of all descriptors of ANN outperformed the other classifiers with an average classification accuracy of 98.23% for the myDAUN dataset, 95.25% for the Flavia dataset and 99.89% for the Swedish Leaf dataset. In addition, the Relief feature selection method achieved the highest classification accuracy of 98.13% after 80 (or 60%) of the original features were reduced, from 133 to 53 descriptors in the myDAUN dataset with the reduction in computational time. Subsequently, the hybridisation of four descriptors gave the best results compared to others. It is proven that the combination MSD and HOG were good enough for tropical shrubs species classification. Hu and ZM descriptors also improved the accuracy in tropical shrubs species classification in terms of invariant to translation, rotation and scale. ANN outperformed the others for tropical shrub species classification in this study. Feature selection methods can be used in the classification of tropical shrub species, as the comparable results could be obtained with the reduced descriptors and reduced in computational time and cost.
    Matched MeSH terms: Industry
  12. Automation of mass spectrometric detection of analytes and related workflows: A review
    Elpa DP, Prabhu GRD, Wu SP, Tay KS, Urban PL
    Talanta, 2020 Feb 01;208:120304.
    PMID: 31816721 DOI: 10.1016/j.talanta.2019.120304
    The developments in mass spectrometry (MS) in the past few decades reveal the power and versatility of this technology. MS methods are utilized in routine analyses as well as research activities involving a broad range of analytes (elements and molecules) and countless matrices. However, manual MS analysis is gradually becoming a thing of the past. In this article, the available MS automation strategies are critically evaluated. Automation of analytical workflows culminating with MS detection encompasses involvement of automated operations in any of the steps related to sample handling/treatment before MS detection, sample introduction, MS data acquisition, and MS data processing. Automated MS workflows help to overcome the intrinsic limitations of MS methodology regarding reproducibility, throughput, and the expertise required to operate MS instruments. Such workflows often comprise automated off-line and on-line steps such as sampling, extraction, derivatization, and separation. The most common instrumental tools include autosamplers, multi-axis robots, flow injection systems, and lab-on-a-chip. Prototyping customized automated MS systems is a way to introduce non-standard automated features to MS workflows. The review highlights the enabling role of automated MS procedures in various sectors of academic research and industry. Examples include applications of automated MS workflows in bioscience, environmental studies, and exploration of the outer space.
    Matched MeSH terms: Industry
  13. BAT flouts tobacco-free World Cup policy
    Assunta M
    Tob Control, 2002 Sep;11(3):277-8.
    PMID: 12198283
    In Malaysia, British American Tobacco flouted the World Cup of football's no-tobacco ruling
    Matched MeSH terms: Tobacco Industry*
  14. BIA-Obesity (Business Impact Assessment-Obesity and population-level nutrition): A tool and process to assess food company policies and commitments related to obesity prevention and population nutrition at the national level
    Sacks G, Vanderlee L, Robinson E, Vandevijvere S, Cameron AJ, Ni Mhurchu C, et al.
    Obes Rev, 2019 11;20 Suppl 2:78-89.
    PMID: 31317645 DOI: 10.1111/obr.12878
    Addressing obesity and improving the diets of populations requires a comprehensive societal response. The need for broad-based action has led to a focus on accountability of the key factors that influence food environments, including the food and beverage industry. This paper describes the Business Impact Assessment-Obesity and population-level nutrition (BIA-Obesity) tool and process for benchmarking food and beverage company policies and practices related to obesity and population-level nutrition at the national level. The methods for BIA-Obesity draw largely from relevant components of the Access to Nutrition Index (ATNI), with specific assessment criteria developed for food and nonalcoholic beverage manufacturers, supermarkets, and chain restaurants, based on international recommendations and evidence of best practices related to each sector. The process for implementing the BIA-Obesity tool involves independent civil society organisations selecting the most prominent food and beverage companies in each country, engaging with the companies to understand their policies and practices, and assessing each company's policies and practices across six domains. The domains include: "corporate strategy," "product formulation," "nutrition labelling," "product and brand promotion," "product accessibility," and "relationships with other organisations." Assessment of company policies is based on their level of transparency, comprehensiveness, and specificity, with reference to best practice.
    Matched MeSH terms: Food Industry/standards*
  15. Fulltext BIOMASS ACTIVATED CARBON PROPERTIES THROUGH ACTIVATION METHOD FOR SUPERCAPACITOR – A MINI-REVIEW
    Madhiyah Yahaya Bermakai, Nor Farahin Jafri, Norha Abdul Hadi
    Journal of Academia Universiti Teknologi MARA Negeri Sembilan, 2021;9(1):8-13.
    MyJurnal
    Recently, the development of activated carbon electrodes from agricultural waste biomass for application in carbon-based electrode of supercapacitor is increasing. The use of agricultural waste biomass as a precursor for the production of activated carbon become popular because it is economical, easily available and also beneficial in reducing waste disposal problem in agricultural industries. In this review, the biomass material for activated carbon using various activators is presented. The effects of activating methods which is physical and chemical activation on the properties of activated carbons are reviewed. Carbonaceous materials with high surface area, which is above 1000 m2g-1 and good porosity with total pore volume approximately 1.0 cm3g-1 promote fast ion-transport, making them an ideal choice to be used in supercapacitor. Previous study had shown that different types of activation method influence significantly on the properties of activated carbon produced. Producing a high porosity and high surface area of activated carbon are essentials to fabricate a high quality of supercapacitor. With proper treatment, it is found that many agriculture wastes have high potential and carry good properties as an electrode in supercapacitor.
    Matched MeSH terms: Industry
  16. Fulltext Bacteriophages and their applications
    Thung, T.Y., Lee, E., Tan, C.W., Malcolm, T.T.H., New, C.Y., Ramzi, O.S.B., et al.
    Food Research, 2018;2(5):404-414.
    MyJurnal
    Bacteriophages are ubiquitous in our world, mainly in the oceans, soil, the water and food
    we consume. They can be used efficiently in modern biotechnology, as well as alternatives
    to antibiotics for many antibiotic resistant bacterial strains. Phages can be used as vehicles
    for vaccines both DNA and protein, for the detection of pathogenic bacterial strain, as biocontrol
    agents in agriculture and food industry. This review outlines the properties as well
    as the influence of different external physical and chemical factors like temperature and
    acidity on phage persistence. A better understanding of the complex problem of phage
    sensitivity to external factors may be useful for other researchers working with phages.
    Furthermore, the applications of bacteriophages were described in this paper as well.
    Matched MeSH terms: Food Industry
  17. Fulltext Banana by-products: an under-utilized renewable food biomass with great potential
    Padam BS, Tin HS, Chye FY, Abdullah MI
    J Food Sci Technol, 2014 Dec;51(12):3527-45.
    PMID: 25477622 DOI: 10.1007/s13197-012-0861-2
    Banana (Musaceae) is one of the world's most important fruit crops that is widely cultivated in tropical countries for its valuable applications in food industry. Its enormous by-products are an excellent source of highly valuable raw materials for other industries by recycling agricultural waste. This prevents an ultimate loss of huge amount of untapped biomass and environmental issues. This review discusses extensively the breakthrough in the utilization of banana by-products such as peels, leaves, pseudostem, stalk and inflorescence in various food and non-food applications serving as thickening agent, coloring and flavor, alternative source for macro and micronutrients, nutraceuticals, livestock feed, natural fibers, and sources of natural bioactive compounds and bio-fertilizers. Future prospects and challenges are the important key factors discussed in association to the sustainability and feasibility of utilizing these by-products. It is important that all available by-products be turned into highly commercial outputs in order to sustain this renewable resource and provide additional income to small scale farming industries without compromising its quality and safety in competing with other commercial products.
    Matched MeSH terms: Food-Processing Industry; Food Industry
  18. Fulltext Barriers of Occupational Safety Implementation in Infrastructure Projects: Gaza Strip Case
    Abu Aisheh YI, Tayeh BA, Alaloul WS, Jouda AF
    Int J Environ Res Public Health, 2021 03 29;18(7).
    PMID: 33805581 DOI: 10.3390/ijerph18073553
    Infrastructure projects are the foundation for essential public services and have an influential position in societal development. Although the role of infrastructure projects is substantial, they can involve complexities and safety issues that lead to an unsafe environment, and which impacts the project key stakeholders. Therefore, this study aimed to evaluate the barriers to implementing occupational safety in infrastructure projects in the Gaza Strip, which cause serious threats and reduce project performance. To evaluate the barriers, 39 items were highlighted and modified as per the construction context and environment, and which later were distributed in the form of a questionnaire, to get feedback from consultants and contractors. The analysis shows that in the safety policy barriers group, consultants and contractors both ranked the item "a contractor committed to an occupational safety program is not rewarded" first. In the management barriers group, consultants and contractors both ranked the item "safety engineer does not have significant powers, such as stopping work when needed" in the first place. In the behavior and culture barriers group, consultants and contractors both ranked the item "workers who are not committed to occupational safety are not excluded" in the first place. Overall, both consultants and contractors shared the same viewpoint in classifying the barriers in the working environment. The outcome of this study is beneficial for Palestinian construction industry policymakers, so they can monitor the highlighted barriers in on-going infrastructure projects and can modify the safety guidelines accordingly.
    Matched MeSH terms: Construction Industry*
  19. Barriers to effective implementation of end-of-life vehicle management in Indonesia
    Sitinjak C, Simic V, Ismail R, Bacanin N, Musselwhite C
    Environ Sci Pollut Res Int, 2023 Aug;30(37):87286-87299.
    PMID: 37422560 DOI: 10.1007/s11356-023-28554-1
    Effective end-of-life vehicle (ELV) management is crucial for minimizing the environmental and health impacts of Indonesia's growing automotive industry. However, proper ELV management has received limited attention. To bridge this gap, we conducted a qualitative study to identify barriers to effective ELV management in Indonesia's automotive sector. Through in-depth interviews with key stakeholders and a strengths, weaknesses, opportunities, and threats analysis, we identified internal and external factors influencing ELV management. Our findings reveal major barriers, including inadequate government regulation and enforcement, insufficient infrastructure and technology, low education and awareness, and a lack of financial incentives. We also identified internal factors such as limited infrastructure, inadequate strategic planning, and challenges in waste management and cost collection methods. Based on these findings, we recommend a comprehensive and integrated approach to ELV management involving enhanced coordination among government, industry, and stakeholders. The government should enforce regulations and provide financial incentives to encourage proper ELV management practices. Industry players should invest in technology and infrastructure to support effective ELV treatment. By addressing these barriers and implementing our recommendations, policymakers can develop sustainable ELV management policies and decisions in Indonesia's fast-paced automotive sector. Our study contributes valuable insights to guide the development of effective strategies for ELV management and sustainability in Indonesia.
    Matched MeSH terms: Industry
  20. Baseline study of methane emission from anaerobic ponds of palm oil mill effluent treatment
    Yacob S, Ali Hassan M, Shirai Y, Wakisaka M, Subash S
    Sci Total Environ, 2006 Jul 31;366(1):187-96.
    PMID: 16125215
    The world currently obtains its energy from the fossil fuels such as oil, natural gas and coal. However, the international crisis in the Middle East, rapid depletion of fossil fuel reserves as well as climate change have driven the world towards renewable energy sources which are abundant, untapped and environmentally friendly. Malaysia has abundant biomass resources generated from the agricultural industry particularly the large commodity, palm oil. This paper will focus on palm oil mill effluent (POME) as the source of renewable energy from the generation of methane and establish the current methane emission from the anaerobic treatment facility. The emission was measured from two anaerobic ponds in Felda Serting Palm Oil Mill for 52 weeks. The results showed that the methane content was between 35.0% and 70.0% and biogas flow rate ranged between 0.5 and 2.4 L/min/m(2). Total methane emission per anaerobic pond was 1043.1 kg/day. The total methane emission calculated from the two equations derived from relationships between methane emission and total carbon removal and POME discharged were comparable with field measurement. This study also revealed that anaerobic pond system is more efficient than open digesting tank system for POME treatment. Two main factors affecting the methane emission were mill activities and oil palm seasonal cropping.
    Matched MeSH terms: Industry
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