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| 1 | Bacterial diseases outbreak of African Catfish (Clarias gariepinus) from Manir River, Tcrengganu, Malaysia显示文摘 | NAJIAH Musa LEE Seong Wei WENDY Wee NADIRAH Musa | 2009 | Journal of Life Sciences2009，3，5： | 0 |
| 2 | Predicting the returns of the US real estate investment trust market:evidence from the group method of data handling neural network显示文摘Purpose:The Group Method of Data Handling(GMDH)neural network has demon-strated good performance in data mining,prediction,and optimization.Scholars have used it to forecast stock and real estate investment trust(REIT)returns in some coun-tries and region,but not in the United States(US)REIT market.The primary goal of this study is to predict the US REIT market using GMDH and then compare its accuracy with that derived from the traditional prediction method.Design/methodology/approach:To forecast the return on the US REIT index,this study used the GMDH neural network and the generalized autoregressive conditional heteroscedasticity(GARCH)model.In this test,the training samples,testing samples,and kernel functions of the GMDH model are controlled to investigate their impact on the accuracy of the machine learning approach.Corresponding experiments were performed using the GARCH model,and the accuracies of these two approaches were compared.Findings:Compared with GARCH,GMDH’s accuracy is much higher,indicating that the machine learning approach can provide a highly accurate prediction of REIT prices.The size of the training samples and the kernel functions in the GMDH model affect the accuracy of the prediction results.In particular,the kernel function has a signifi-cant impact on prediction accuracy.The linear and linear covariance kernel functions are simple to train and yield accurate predictions,whereas the quadratic function is difficult to train.Even with small training samples,GMDH can outperform GARCH in prediction accuracy.Research limitations/implications:Although GMDH shows good performance in predicting the US REIT return,it is still a black-box model,and the algorithm is difficult for financial analysts to develop and customize.The data used in this study come from the US REIT market,which is the world’s largest and most liquid market.Social implications:This research shows that the GMDH model outperforms the GARCH model in forecasting REIT returns.Hence,investors can use the machine thus better investment decisions.Future investors and researchers may use GMDH to forecast the performance of REITs in other markets.Originality/value:This is the first study to apply the GMDH neural network to the US REIT market and determine the impact of the two factors on its performance.For example,this research first discusses the impact of kernel functions on the US REIT market using the GMDH neural network.It also includes short-term daily prediction returns that were not previously considered,making it a valuable reference for financial industry analysts. | Wendi Zhang Bin Li Alan Wee‑Chung Liew Eduardo Roca Tarlok Singh | 2023 | Financial Innovation2023，9，1： | 0 |
| 3 | The roles of polysaccharides in tilapia farming:A review显示文摘Impairment of fish growth and immune system due to stress and disease are major constraints in aquaculture industry.Traditionally,antibiotic was used as prophylactic agent in the health management of aquaculture species.However,antibiotic only provide a temporary solution to the problem of disease outbreak.Over-reliance on antibiotic also has led to the increasing cases of antibiotic resistance among pathogenic bacteria from aquaculture sites and contamination of antibiotic residues into human food chain.Probiotic,prebiotic and symbiotic are therefore suggested as alternatives to prophylactic antibiotic to be used in the aquaculture industry.A potential prophylactic agent is polysaccharide that could be developed into an alternative antibiotic for aquatic animals.In this review paper,definition,sources,and mode of action of polysaccharide are presented.The roles of polysaccharides in fish farming with emphasis on growth improvement,immune system enhancement,disease resistance stimulation in tilapia farming,and the effects of polysaccharides on abiotic stressors are summarized and discussed. | Zulhisyam Abdul Kari Wendy Wee Noor Khalidah Abdul Hamid Mahmoud A.O.Dawood Nik Nur Azwanida Binti Zakaria Lee Seong Wei | 2024 | Aquaculture and Fisheries2024，9，1： | 0 |
| 4 | The effects of mixed prebiotics in aquaculture:A review显示文摘Aquaculture industry contributes significant aquaculture species production to meet fish protein demand from the world.The industry is gearing towards intensification to increase more production in the near future.Various technologies and efforts were introduced into aquaculture industry to bring it up to the next higher level.However,the development of aquaculture industry is hindered by disease constraint.As a result,excessive use of antibiotics and chemicals were applied to reduce or minimize risk of disease outbreak in aquaculture farming activity.Subsequently,aquacultures products and environment were highly exposed to these antibiotics and chemicals.To resolve this issue,fish farmers were encouraged to utilize alternative method in aquaculture species health management.Prebiotics has become a new approach in aquaculture industry to maintain aquaculture species health and a good environment at the same time produce chemical and antibiotic-free aquaculture product.In this review paper,we summarize and discuss the effects of prebiotic mixtures administration on growth performance,immune response,disease resistance,and tolerance against abiotic stressors of aquatic animals. | Wendy Wee Noor Khalidah Abdul Hamid Khairiyah Mat Raja Ili Airina Raja Khalif Nor Dini Rusli Mohammad Mijanur Rahman Muhammad Anamul Kabir Lee Seong Wei | 2024 | Aquaculture and Fisheries2024，9，1： | 0 |
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