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Source of apportionment of air quality parameters at federal port of Malaysia with emphasis on ship emission
Air pollution is becoming a major environmental issue in Malaysia. Centered on data obtained from the
Malaysian Department of Environment (DOE), this analysis focused on identifying possible causes of
air quality heterogeneity across the research area. 14 air quality parameters in 7 monitoring stations for
ten years (2009-2018) were gathered. To determine the source of air pollution around the study region,
the Principal Component Analysis (PCA) approach from a chemometric methodology was applied. The
PCA method has identified three varimax factor (VF) with 11 air quality parameters are the most
significant parameters around the study area. It can be inferred from the analysis that the use of the
PCA approach in chemometric techniques can be applied for the purpose of source apportionment. Accordingly, this study suggested that efforts should be put as a priority in the monitoring of ships
emissions sources in Malaysia Federal Ports area and successful management of Malaysian air quality
Enterprise problems and proposed solutions using the concept of e-commerce
The noise of e - commerce businesses has seen the extension of number of the online businesses
global. Buyers now are opted with online business commerce which is greatly benefit compared to
traditional businesses. It is undeniable e - commerce enterprises contribute more profits, comparing
to "bricks-and-mortal"traditional enterprises, but not to be avoided the problems and challenges
faced by the e - commerce marketplace. This study emphasizes the problems and challenges of e -
commerce and a set of recommended solutions to those problems and challenges. Those problems
are trust, readiness and security. For each of the problems , proposed solutions are presented.
Companies have conducted business electronically by applying a range of electronic commerce
solutions . In the current situation, a corporation enters the electronic market by building trading
partner agreements with sellers or wholesalers of their choice. These deals may include any items that
cannot be agree electronically, like terms of transfer, payment devices, or implementation rules. After
discovering the right market relationships, a company must choose the elements of their electronic
commerce system. In this paper have been formulate current ecommerce problems , challenges and
their effective solutions . In future, e - commerce marketplace should concentrate more on securing payment, e -banking and e -government. With that, problems and challenges in e - commerce can
be reduce
Mobile commerce and its apps - opportunities and threats in Malaysia
The purpose of this study is to discuss on opportunities and threats of Foodpanda as an online Ecommerce platform including their strength and weaknesses. Electronic Commerce commonly
known as E - Commerce means buying and selling of goods and services through internet. Ecommerce is a way of conducting business online. Though e- commerce is facing challenges in the
market but it has scope to outsource the traditional markets. Nowadays, E- commerce is a very big and
potential platform in business organization. There are so many platform of E- commerce and one of
them is Foodpanda. Foodpanda is one of the leading online food delivery marketplaces and is spread
out globally. Its main job is to enable users to place orders at nearby restaurants with the assistance of
its website or via its mobile app. A study on Foodpanda will show on opportunities and threads of
Foodpanda as one of the biggest online E- Commerce platform
Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model
Image enhancement and segmentation is widely used for fingerprint identification and
authorization in biometrics devices, criminal scene is most challenges due to low quality of
fingerprint , the most significant efforts is to develop algorithm for latent fingerprint enhancement
which become challenging problem due to the complex and existing problem for instance, developing
algorithms of latent fingerprint is able to extract features of image blocks and removing overlapping
and isolate the poor and noisy background. however, it's still challenging and interested problem
specifically latent fingerprint enhancement and segmentation . The aim study of this paper is to
propose latent fingerprint enhancement and segmentation based on hybrid model and Chan-Vese
method for segmentation , in order to reduce low image quality and increase the accuracy of
fingerprint . The desired characteristics of intended technique are adaptive, effective and accurate,
hybrid model of edge adaptive direction achieves accurate latent fingerprint enhancement and
segmentation , the target needs to improve feature detection and performance, this research has
proposed system architecture of research method in fingerprint enhancement and segmentation
where is the method content two stages, the first is normalization and second is reconstruction, using
EDTV model is required for adaptive noise, in addition Chan-vase technique contributed for
identification of fingerprint image features, the result and testing using RMSE with three categories of
fingerprint images good, bad and ugly show better performance for all three categories, as well RMSE
shows the average of good latent fingerprint before and after enhancement . Latent Fingerprint Enhancement and Segmentation Technique Based on Hybrid Model Edge Adaptive Directional Total
Variation
Nutritional management for patient with CKD stage 4 secondary to diabetic nephropathy with underlying type 2 diabetes mellitus and hypertension
Assessment Mr. TM is a 78 years old Malay male diagnosed with CKD stage 4 secondary to diabetic nephropathy since 2019. The patient has underlying type 2 diabetes mellitus, hypertension, cholestasis, increased liver echogenicity, bilateral renal parenchymal diseases with multiple renal cysts, prostatomegaly, and hypercholesterolemia. He is a pensioner and stays with his daughter. His siblings have a history of DM and hypertension. He currently using a walking stick. His weight is 69.8kg and his height is 156 cm. Patient BMI is 28.7kg/m2 which is considered normal according to Queensland, 2013. His renal profile shows a high reading for urea, potassium, and creatinine. In addition, his GFR reading is at 17 which indicates that the patient has CKD stage 4. His lipid profile shows normal readings except for HDL which slightly lower than the normal average. For glucose profile, his HbA1C reading is at 6.6% which is slightly higher than normal. Mr. TM's clinical data shows normal reading for blood pressure and pulse rate but he has a poor urine output. His dietary assessment shows an energy intake of about 1279kca1/day and his protein intake is 41g/day.
Diagnosis The patient's nutritional diagnosis is inadequate protein-energy intake (NI-5.2) related to food and nutrition-related knowledge deficit concerning the appropriate amount of energy and protein as evidence by protein intake is 41g/day @ 73% from protein requirement and energy intake is 1279 kcal/day @ 73% from energy requirement.
Intervention The main goal is to slow down the progression of kidney failure by educating the patient about a pre-dialysis diet that involving limiting protein and potassium intake. The second goal is to ensure that the blood sugar profile is maintained within normal range by reemphasizing a diabetic diet.
Monitoring & Evaluation For the next follow-up, the patient's weight changes, renal profile, and HbA1 C are required for monitoring
Nutritional management of obese patient with young hypertension and hyperlipidemia
Assessment Mr. Y is 32 years old man. His weight is 113kg with a height of 186cm and body fat is 37.7%. He is under obese class 1 with BMI is 32.7kg/m2. His usual body weight is 72kg in November 2020. The biochemical data for total cholesterol, triglycerides, and low-density lipoprotein are high, 6.2, 1.9, and 4.3mmol/L respectively. The renal profile and full blood count are normal. The blood pressure is 170/105mmHg, at stage 2 hypertension with a pulse rate of 60 beats per/min. Mr. Y has an excessive estimated energy intake, 3197kcal/day@154`)/0 of estimated energy requirement, total estimated fat intake 96g/day@167°/0 of fat requirement, and estimated sodium intake 3953mg/day@197% of sodium requirement. He is at the preparation stage as he agrees to take action on the nutrition recommendations provided.
Diagnosis The diagnoses are excessive energy intake (NI-1.3), excessive fat intake (NI-5.5.2), excessive mineral intake (sodium) (NI-5.10.2) related to food and nutrition-related knowledge deficit concerning energy, fat, and sodium intake as evidenced by intake of excessive estimated energy intake 3197kca1/day@ 154% of estimated energy requirement, estimated fat intake 96g/day@167% of estimated fat requirement, and estimated sodium intake 3953mg@197% of sodium requirement.
Intervention The main objective is to reduce body weight by 0.5-1kg/week, to attain and maintain the blood pressure as close as normal range <120/80mmHg, and to normalize fasting serum lipid profile as close as normal range, meanwhile, the long-term goals are to achieve healthy body weight at normal BMI and to prevent further complications of hyperlipidemia and hypertension such as heart disease and stroke. The plan is to educate on a weight reduction diet, low fat and cholesterol diet, low salt diet and promote physical activity.
Monitoring & Evaluation To review and monitor the body weight, lipid profile, blood pressure, dietary intake, and compliance
New hybrid BFGS-CG method for solving unconstrained optimization
Conjugate gradient method and quasi-Newton (QN) method are both well known solvers for solving
unconstrained optimization problems. In this paper, we proposed a new conjugate gradient method
denoted as Wan, Asrul and Mustafa (WAM) method. This WAM method is then combined with the QN
method to produce a new hybrid search direction which is QN-WAM. Based on numerical results, the
proposed hybrid method proved to be more efficient compared to the original quasi-Newton method
and other hybrid methods
The challenges in implementing mixed economy of care practices in child welfare network in Malaysia
The Social networks play a very important role in the well-being of children. This is because; the welfare network
serves as a charitable service provider to meet their needs. Child welfare networks include family members, children,
schools, peers, neighbors, community members and institutions offering health, education, health, food and drink
services, love, safety, protection and a healthy environment. This article describes the network mapping of child
welfare services in the custody of public institutions. A study was conducted to explore the practice of implementing
the welfare services network of children at STB Marang, Terengganu Malaysia using the qualitative design of the
Grounded Theory to obtain the raw data. A set of interview protocols have been developed as a guide to conducting
face-to-face and deep interviews with 30 respondents of 24 different agencies. The main findings of the study found
that although public custody in Malaysia practiced a mixed economy of care approach, service network operations
were in conflict with the mixed economy of care approach adopted. As a follow-up to the findings of this study, the
Social Network Development Model was developed. This model can be a productive tool in developing an integrated
welfare network for children in Malaysia
Evaluation of the DPPH Radical Scavenging Activity, Total Phenolic Content and Total Flavanoid Content of Different Solvent Extracts of Catunaregam tomentosa (Blume ex DC) Tirveng Leaves
Catunaregam tomentosa (Blume ex DC) Tirveng is commonly known as Khet in Thailand and Bisa Ular or
Badang in Malaysia. The tree is widely distributed in the north-east region of Thailand while in Malaysia
the tree usually grows in the open waterfront area at Terengganu. This plant belongs to the Rubiaceae
family, and the genus catunaregam has interesting pharmacological activities such as anti-inflammatory,
antispasmodic, antidysenteric, antifertility and immunomodulatory. In this study, the leaves were
extracted using dichloromethane, ethyl acetate and ethanol. Total phenolic was determined by FolinCiocalteau method are 115.0 ± 1.135, 340.8 ± 3.209 and 30.24 ± 1.702 mg GAE/g with dichloromethane,
ethanol, and ethyl acetate, respectively. Total flavonoid was determined by the aluminium chloride
calorimetric method are 47.01 ± 0.577, 56.78 ± 1.970 and 40.89 ± 1.079 mg QE/g with dichloromethane,
ethanol, and ethyl acetate, respectively. Meanwhile, its antioxidant activity was evaluated by the 2,2-
diphenyl-1-picrylhydrazyl (DPPH) assay. The ethanolic extract was found to have the highest percentages
of phenolic and flavonoid content. The ethanolic extract also demonstrated strong DPPH scavenging
activity with IC50 at 20.07 ± 0.51µg/mL
Diversity and abundance of hymenopteran parasitoids at two different elevations in Redang Island, Terengganu, Malaysia
A study was conducted to determine the diversity and abundance of hymenopteran parasitoids in two
different elevations of the coastal and inland forest of Redang Island, Terengganu. Three Malaise traps
were installed at each three sampling points in both plots, respectively. The insect samples were collected
after seven days and brought to the laboratory for sorting, enumeration, and identification process up to
family level. The abundance of parasitoids between two plots was compared using T-test analysis while
the comparison of hymenopteran parasitoids abundance between different families was analysed using
one-way Analysis of Variance (ANOVA). The insect diversity was analysed using the Shannon-Weiner
Diversity Index (H’). Overall, there were 48 individuals of parasitoids from 13 families were collected and
no significant difference (P>0.05) of parasitoids abundance between both plots. However, the parasitods
population in inland forest was more diverse (H’=1.58) compared to the coastal forest (H’=1.42). Thus,
there was a significant difference (P<0.05) of parasitoids abundance among the 13 different hymenopteran
families. The most abundant family was Braconidae with 24 individuals followed by Ichneumonidae with six
individuals whilst the least abundant families were Elasmidae, Mutillidae, Diapriidae, Chalcididae,
Eulophidae, Pompilidae, Chrysididae, and Platygastridae with only one individual, respectively. In
conclusion, the diversity of hymenopteran parasitoids in the inland forest was higher than coastal forest
although the abundance was not significantly different. Other parameters such as vegetation species and
distribution, and abiotic factors should be considered in future studies in order to d