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Fulltext Effects of L-arginine on the reproductive system of male rabbits

Sukardi, S., Yaakub, H., Ganabadi, S., Cheng, L.H.

Malays J Nutr, 2006;12(2):201-211.
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L-arginine is an amino acid, which serves as the sole substrate for nitric oxide (NO) synthesis with the concomitant formation of L-citrulline in biologic system. NO has been demonstrated to be involved in smooth muscle relaxation and vasodilation, immune regulation and neurotransmission. It also has an important function as both intercellular and intracellular signals in many physiological systems, including the reproductive system where NO mediates penis erection. This study was undertaken to determine the effects of L-arginine on sperm motility, sperm count, and the nitric oxide level in the seminal plasma. Twelve sexually matured male rabbits (Oryctolagus cuniculus) were randomly divided into four groups with three rabbits each, which were control, low, medium, and high concentration groups. The treatment groups were force-fed with 100mg/kg, 200mg/kg, and 300mg/kg body weight of L-arginine for four weeks, whereas the control group was force-fed with water. Semen samples were collected every three days alternatively for a week before starting treatment and then after four weeks of treatment. Pre-treatment and post-treatment results were compared. Semen samples were collected using artificial vaginas from each group for sperm analysis such as sperm motility, sperm count and NO level in seminal plasma. Sperm motility and sperm count were analysed manually under microscope (twenty power objective), using a Makler counting chamber. NO levels in the seminal plasma were determined using Griess reaction. The results obtained from this study showed that oral consumption of L-arginine exerted a significant (p
The effects of palm kernel cake based diet on spermatogenesis in Malin x Santa-Ines rams

Yaakub H, Masnindah M, Shanthi G, Sukardi S, Alimon AR

Anim. Reprod. Sci., 2009 Oct;115(1-4):182-8.
PMID: 19167847 DOI: 10.1016/j.anireprosci.2008.12.006

Testes from nine male Malin x Santa-Ines rams with an average body weight of 43.1+/-3.53 kg, were used to study the effects of palm kernel cake (PKC) based diet on spermatogenic cells and to assess copper (Cu) levels in liver, testis and plasma in sheep. Animals were divided into three groups and randomly assigned three dietary treatments using restricted randomization of body weight in completely randomized design. The dietary treatments were 60% palm kernel cake plus 40% oil palm frond (PKC), 60% palm kernel cake plus 40% oil palm frond supplemented with 23 mg/kg dry matter of molybdenum as ammonium molybdate [(NH(4))(6)Mo(7)O(24).4H(2)O] and 600 mg/kg dry matter of sulphate as sodium sulphate [Na(2)SO(4)] (PKC-MS) and 60% concentrate of corn-soybean mix+40% oil palm frond (Control), the concentrate was mixed in a ratio of 79% corn, 20% soybean meal and 1% standard mineral mix. The results obtained showed that the number of spermatogonia, spermatocytes, spermatids and Leydig cells were not significantly different among the three treatment groups. However, spermatozoa, Sertoli cells and degenerated cells showed significant changes, which, may be probably due to the Cu content in PKC. Liver and testis Cu levels in the rams under PKC diet was found to be significantly higher (P<0.05) than rams in Control and PKC-MS diets. Plasma Cu levels showed a significant increase (P<0.05) at the end of the experiment as compared to at the beginning of the experiment for PKC and Control. In conclusion, spermatogenesis is normal in rams fed the diet without PKC and PKC supplemented with Mo and S. However spermatogenesis was altered in the PKC based diet probably due to the toxic effects of Cu and the significant changes in organs and plasma. Thus, Mo and S play a major role in reducing the accumulation of Cu in organs.
Bixa orellana leaves extract inhibits bradykinin-induced inflammation through suppression of nitric oxide production

Yoke Keong Y, Arifah AK, Sukardi S, Roslida AH, Somchit MN, Zuraini A

Med Princ Pract, 2011;20(2):142-6.
PMID: 21252569 DOI: 10.1159/000319907

The present study was conducted to assess the anti-inflammatory effect of a crude aqueous extract of Bixa orellana leaves (AEBO) and to examine the possible involvement of nitric oxide (NO) in its anti-inflammatory mechanism.
Analysis of Salmonella Agona and Salmonella Weltevreden in Malaysia by PCR fingerprinting and antibiotic resistance profiling

Learn-Han L, Yoke-Kqueen C, Salleh NA, Sukardi S, Jiun-Horng S, Chai-Hoon K, et al.

Antonie Van Leeuwenhoek, 2008 Oct;94(3):377-87.
PMID: 18548329 DOI: 10.1007/s10482-008-9254-y

Forty-eight strains of Salmonella enterica subsp. enterica serovar Agona and 33 strains of Salmonella enterica subsp. enterica serovar Weltevreden were characterized by random amplified polymorphic DNA (RAPD) fingerprinting using 3 different arbitrary primer, Enterobacterial Repetitive Intergenic Consensus-Polymerase Chain Reaction (ERIC-PCR) and antimicrobial susceptibility testing. By using RAPD, 81 strains (44 strains of S. Agona and 33 strains of S. Weltevreden) can be clustered into 14 groups and 6 single isolates whereas ERIC-PCR produced 7 clusters and 3 single isolates. Thirteen antimicrobial agents were used and all the isolates were resistant to erythromycin and showed Multiple Antimicrobial Resistance indexes, ranging from 0.08 to 0.62. Poultry still remain as the common reservoir for multi-drug-resistant Salmonella. On the other hand, vegetables contaminated with S. Weltevreden showed a gain in antimicrobial resistance. Besides that, consistent antibiograms were observed from S. Weltevreden isolated at Kajang wet market on 2000/08/02.
Virulotyping of Salmonella enterica subsp. enterica isolated from indigenous vegetables and poultry meat in Malaysia using multiplex-PCR

Khoo CH, Cheah YK, Lee LH, Sim JH, Salleh NA, Sidik SM, et al.

Antonie Van Leeuwenhoek, 2009 Nov;96(4):441-57.
PMID: 19565351 DOI: 10.1007/s10482-009-9358-z

The increased occurrence of Salmonella occurrence in local indigenous vegetables and poultry meat can be a potential health hazards. This study is aimed to detect the prevalence of twenty different virulence factors among Salmonella enterica strains isolated from poultry and local indigenous vegetables in Malaysia via an optimized, rapid and specific multiplex PCR assay. The assay encompasses a total of 19 Salmonella pathogenicity islands genes and a quorum sensing gene (sdiA) in three multiplex reaction sets. A total of 114 Salmonella enterica isolates belonging to 38 different serovars were tested. Each isolate in under this study was found to possess up to 70% of the virulence genes tested and exhibited variable pathogenicity gene patterns. Reproducibility of the multiplex PCR assay was found to be 100% and the detection limit of the optimized multiplex PCR was tested with lowest detectable concentration of DNA 0.8 pg microl(-1). This study demonstrated various Salmonella pathogenicity island virulence gene patterns even within the same serovar. This sets of multiplex PCR system provide a fast and reliable typing approach based on Salmonella pathogenicity islands, thus enabling an effective monitoring of emerging pathogenic Salmonella strains as an additional tool in Salmonella surveillance studies.
Fulltext Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Razali NAM, Malizan NA, Hasbullah NA, Wook M, Zainuddin NM, Ishak KK, et al.

J Big Data, 2021;8(1):150.
PMID: 34900516 DOI: 10.1186/s40537-021-00536-5

Background: Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and emotions toward individuals, topics, and events. The task is technically challenging but incredibly useful. With the explosive growth of the digital platform in cyberspace, such as blogs and social networks, individuals and organisations are increasingly utilising public opinion for their decision-making. In recent years, significant research concerning mining people's sentiments based on text in cyberspace using opinion mining has been explored. Researchers have applied numerous opinions mining techniques, including machine learning and lexicon-based approach to analyse and classify people's sentiments based on a text and discuss the existing gap. Thus, it creates a research opportunity for other researchers to investigate and propose improved methods and new domain applications to fill the gap.
Methods: In this paper, a structured literature review has been done by considering 122 articles to examine all relevant research accomplished in the field of opinion mining application and the suggested Kansei approach to solve the challenges that occur in mining sentiments based on text in cyberspace. Five different platforms database were systematically searched between 2015 and 2021: ACM (Association for Computing Machinery), IEEE (Advancing Technology for Humanity), SCIENCE DIRECT, SpringerLink, and SCOPUS.
Results: This study analyses various techniques of opinion mining as well as the Kansei approach that will help to enhance techniques in mining people's sentiment and emotion in cyberspace. Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text. The possible societal impacts of the current opinion mining technique, including machine learning and the Kansei approach, along with major trends and challenges, are highlighted.
Conclusion: Various applications of opinion mining techniques in mining people's sentiment and emotion according to the objective of the research, used method, dataset, summarized in this study. This study serves as a theoretical analysis of the opinion mining method complemented by the Kansei approach in classifying people's sentiments based on text in cyberspace. Kansei approach can measure people's impressions using artefacts based on senses including sight, feeling and cognition reported precise results for the assessment of human emotion. Therefore, this research suggests that the Kansei approach should be a complementary factor including in the development of a dictionary focusing on emotion in the national security domain. Also, this theoretical analysis will act as a reference to researchers regarding the Kansei approach as one of the techniques to improve hybrid approaches in opinion mining.