Factors that lead to customer satisfaction towards online banking / Nur Shafeeka Jailani and Wan Nur Dini Sabrina Wan Azmi

Banks are separated into several forms in Malaysia such as central banks, Islamic banks and commercial banks, The banking industry is one of the most significant industries m this Malaysia and most banks have their own banking websites as move to increase their effectiveness. Online banking brings convenience to customers and encourages customers to conduct transaction more efficiently and easily through the banking website. Online banking also benefits the bank in reducing the operational cost. With the rapid growth of the Internet, banks have changed the way financial services are being design and delivered. Online banking has gradually replaced the traditional based counter-form of banking because it offers many advantages amongst which are improved efficiency of payment and other financial services. According Chong cl at. 2015, online banking lias been recognized and well-known around the world. Thus, based on Guru etat. (2001), in order to compete in the online banking institutions, this oilers new opportunities and challenges to banking institutions around the world. Other than that, most of the banks are available with the internet facilities. Customers are able to accomplish their banking accounts or transactions with a single click via the internet connection through these internet facilities

Control mechanisms of slope, highland & hilly area in managing landslides occurrence: a comparative legal study between Hong Kong and Malaysia / Nurarnida Sabrina Mohd Sabri … [et al.]

Modernization has caused rapid development in our country. This can be seen where nowadays thousands of buildings are built almost everywhere. Buildings are built on earth surface that covers slope, highland and hilly area. This is where environmental law comes into picture to restrain or stop any development that brings danger to the society and nature. Therefore, it is a reminder that to be a modern country it is not necessary we violate nature. The purpose of this study is to propose comprehensive and efficient laws on enforcement and implementation for managing landslides occurrences' in Malaysia. Apart from that, a comparison has been made between laws in our country with Hong Kong on matter regarding the enforcement and implementation in managing landslides. In conclusion, this research also will examine the existing laws and guidelines (if any) in Malaysia as well as in Hong Kong

The theories of accident causation model development

Accidents occur in all types of industry resulting in injury, fatalities and damage to human, assets or environment. Occupational accidents are substantial expense to the society and individual companies. Accident causation models can specify and explain from different perspectives how an accident occurs. The following concepts are successfully explained by accident causation models: (i) why accidents happen, and (ii) how accidents happen. These models serve as a crucial theoretical foundation for safety research because they provide support for a thorough method of accident analysis and prevention. This study reviews accident causation models established by previous researchers and summarizes their findings as follows: (i) the function and history of accident causation models, and (ii) the strength and limitation of accident causation model. The development trends of several accident causation models are compared and analyzed

Culture conflict amongst Malaysian children

Culture is an essential part of conflict and conflict resolution. Culture is in our lives and relationships, giving us messages that shape our perceptions, attributions, judgments, and ideas of self and others. Though cultures are powerful, they are often unconscious, influencing conflict and attempts to resolve conflict in imperceptible ways. Two things that are essential to remember about culture: they are always changing, and they relate to the symbolic dimension of life. The symbolic dimension is the place where we are constantly making meaning and enacting our identities. Cultural messages from the groups we belong in giving us information about what is meaningful or important, and who we are in the world and in relation to others. Therefore, this paper will discuss the culture conflict undergo by children in Malaysia arise from different cultural groups i.e ethnicity, from generation, socioeconomic class, sexual orientation, ability and disability, and religious affiliation, language, and gender. The study sample comprises from 30 primary school students from three locations; urban, city and rural areas in Malaysia. Data were gathered using recording, interview, and questionnaire. Data will be analysed by using socio-pragmatic approach. The outcome of the research also indicated that aspects of context and cognition have also played an important role to overcome the cultural conflicts among Malaysian children

Host range and control strategies of Phytophthora palmivora in Southeast Asia perennial crops

Phytophthora palmivora is a destructive plant pathogenic oomycete that has caused lethal diseases in a wide range of hosts. It is a pan-tropical distributed pathogen that can infect plants at all growth stages. Extensive studies have linked P. palmivora to severe diseases in several crops, such as black pepper, rubber, cocoa, and durian, causing global economic losses. This review covers the following topics in depth: (i) P. palmivora as phytopathogen; (ii) identification and infection mechanism in rubber, cocoa, and durian; and (iii) management and control applied for P. palmivora diseases. Effective management strategies were studied and practiced to prevent the spread of P. palmivora disease. Genetic resistance and biocontrol are the best methods to control the disease. A better understanding of P. palmivora infection mechanisms in our main crops and early disease detection can reduce the risk of catastrophic pandemics

Healing garden: Modul aktiviti dan pelaksanaan

Modul dibina bagi rujukan sekolah bekeperluan khas (pelajar autistik) yang boleh merujuk senarai aktiviti yang boleh dilakukan dalam Healing Garden

Bacteria associated with rice panicle blight and grain discolouration in Penang

Rice panicle blight and grain discoloration condition is a newly paddy disease that firstly discovered from China in 2020 and recently discovered in Malaysia with adverse impact on our granary production. The symptoms first appeared on the glumes as light-brown spots that progressed to darker brown or black spots, dotted spots that varied in shape and size, hollow light weight panicles, or even unfilled grains. Therefore, the objective of this research was to study the bacteria associated from rice panicle blight and grain discolouration by identifying the causal pathogen based on their phenotypic and molecular characterization. Sampling was done in naturally infected granary areas and the collected panicles have been performed throughout surface sterilization for bacteria isolation until obtained single pure colony. 11 representatives of pure isolates obtained have been identified and classified through phenotypic and molecular characteristics. Based from that, 4 genera of bacteria were obtained. They were from Pseudomonas sp., Pantoea sp., Enterobacter sp. and Paenibacillus sp. Hence, to alleviate this serious disease, a precise identification of the pathogen is required in order to control the disease from spreading which results in a rice grain yield reduction

Genome-scale compositional comparisons towards drought tolerant genes in rice, date palm, maize and thale cress

Extreme and unpredictable weather has gradually posed a threat to the global production of the world’s staple food crops such as rice, wheat, and maize. For instance, drought had caused significant losses which makes drought-tolerant planting materials increasingly important not only for food security but also for the sustainability of agricultural activities. This could be done by first exploring the genetic materials that are responsible for survival in hot and dry conditions other than solely relying on conventional methods. The availability of various comparative genomics tools has allowed the identification of several potential drought-tolerant genes in plants such as wheat, tomato, maize and others. In this study, potential drought-tolerant genes in rice are predicted by identifying orthologous proteins between four species; Oryza sativa (rice), Arabidopsis thaliana (thale cress), Zea mays (maize) and Pheonix dactylifera (date palm) using InParanoid, SonicParanoid and Mauve software tool. From the 9,952 orthologous proteins found among the four species, 8,573 sequences were annotated and assigned to 5,729 GO terms; classified into the biological process category (54%, 2777 sequences), molecular function category (65%, 3223 sequences) and cellular component category (58%, 2539 sequences). Sixty five genes were found to be represented under four drought tolerance GO terms; regulation of response to water deprivation (GO:2000070; 1 gene, 1.54% ); response to water deprivation (GO:0009414, 47 genes, 72.31%); behavioural response to water deprivation (GO:0042630, 11 genes, 16.92%) and; cellular response to water deprivation (GO:0042631, 6 genes, 9.23%). Narrowing down potential drought-stress response genes through this study could contribute to a better understanding and knowledge on the biological and functional analysis of drought-tolerant genes in rice

Transcriptome profiling of stevia rebaudiana ms007 revealed genes involved in flowedevelopment

Stevia rebaudiana is a medicinal plant recommended to diabetic or obese patients as an alternative sweetener owing to its low-calorie property. Previous studies have found that the stevioside level is highest at the time of flower bud formation and lowest at the time of preceding and following flower bud formation. Hence, this study aims to identify the genes involved in the flowering of local S. rebaudiana accession MS007 by investigating the transcriptomic data of two stages of growth, before flowering (BF) and after flowering (AF) that were deposited under accession number SRX6362785 and SRX6362784 at the NCBI SRA database. The transcriptomic study managed to annotate 108299 unigenes of S. rebaudiana with 8871 and 9832 genes that were differentially expressed in BF and AF samples, respectively. These genes involved in various metabolic pathways related to flower development, response to stimulus as well as photosynthesis. Pheophorbide A oxygenase (PAO), eukaryotic translation initiation factor 3 subunit E (TIF3E1), and jasmonate ZIM domain-containing protein 1 (JAZ1) were found to be involved in the flower development. The outcome of this study will help further research in the manipulation of the flowering process, especially in the breeding programme to develop photo-insensitive Stevia plant

Comparative analysis of deep learning algorithm for cancer classification using multi-omics feature selection

Advancement of high-throughput technologies in omics studies had produced large amount of information that enables integrated analysis of complex diseases. Complex diseases such as cancer are often caused by a series of interactions that involve multiple biological mechanisms. Integration of multi-omics data allows more advanced analysis using features from various aspects of biology. However, analysing cancer multi-omics data on a large scale could be challenging due to the high dimensionality of the data. The recent development of advanced computational algorithms, especially deep learning, had sparked numerous efforts in applying these algorithms in multi-omics studies. This study aims to investigate how deep learning algorithms, namely stacked denoising autoencoder (SDAE) and variational autoencoder (VAE) can be used in cancer classification using multi-omics data. Moreover, this study also investigates the impact of feature selection in multi-omics analysis through the implementation of an embedded feature selection. The multi-omics data used in this study includes genomics, methylomics, transcriptomics and clinical data for a case study of lung squamous cell carcinoma. The classification performance has been compared and discussed in terms of the effectiveness of different models and the impact of feature selection. Results showed that VAE outperforms SDAE with 91.86% accuracy, 22.73% specificity and 0.21% Matthews Correlation Coefficient (MCC)