Improvise the working condition at Kilang Beras Jelapang Selatan (M) Sdn. Bhd.

Kilang Beras Jelapang Selatan (M) Sdn. Bhd. or known as KBJS was established on 11th March 1988. KBJS is located at industrial area, Batu 2 ¾ Jalan Salleh,8400, Muar, Johor. The size of the factory is more than 2.5 acre. KBJS was a Small and Medium Enterprise (SME) business owned by a Chinese family who are not interested in paddy and rice industry. They later sold the company to KBJS after their father’s death in 1988. KBJS bought the company at a price of RM 500, 000.00 and have been upgraded from time to time. KBJS is now well known as the biggest Bumiputera company in peninsular Malaysia according to Certified Assessment in 2011 which worth RM25 millions

Driving cycle for small and medium duty engine case study of Ipoh

Driving cycles is a series of data points representing the speed of vehicle verses time sequenced profile developed for certain road, route, specific area or city. It is widely used of application for vehicle manufacturers, environmentalists and traffic engineers. The purposes of this study are; to analyse the real world driving pattern and to develop a driving cycle for small and medium duty engines in Ipoh, Malaysia. This study carried out a survey to describe the motorcycle and car driving cycle on the selected three routes in the peak hour periods of the traffic condition, which are morning, afternoon and evening peak periods. The study used a GPS equipment to record vehicle travel speeds (second by second). The driving characteristics were analysed from speed time data and its target statistic parameters were defined. The method for generating the driving cycle has been described. The analysis results show that there are significant difference of driving characteristic and driving cycle between motorcycle and car for Ipoh city. The characteristic of the developed driving cycle for car was compared with three well established worldwide driving cycles. This information gives a clear message that those driving cycle such as ECE driving cycle (for instance) is not suitable to predict the emission standard in Ipoh. The driving cycle for motorcycle also had been compared with existing motorcycles driving cycles for Malaysia. It shows that the average speed of the developed Ipoh motorcycles driving cycle is higher than motorcycles driving cycle for Malaysia. The result clearly shows the driving cycle is dependent on specific area or city due to the different of traffic flow

Secondary metabolites, antioxidant, and antiproliferative activities of Dioscorea bulbifera Leaf Collected from Endau Rompin, Johor, Malaysia

Breast cancer is among the most commonly diagnosed cancer and the leading cause of cancer-related death among women globally. Malaysia is a country that is rich in medicinal plant species. Hence, this research aims to explore the secondary metabolites, antioxidant, and antiproliferative activities of Dioscorea bulbifera leaf collected from Endau Rompin, Johor, Malaysia. Antioxidant activity was assessed using 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), and 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS) assays, while the cytotoxicity of D. bulbifera on MDA-MB-231 and MCF-7 breast cancer cell lines was tested using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay. Cell cycle analysis and apoptosis were assessed using flow cytometry analysis. Phytochemical profiling was conducted using gas chromatography-mass spectrometry (GC-MS). Results showed that methanol extract had the highest antioxidant activity in DPPH, FRAP, and ABTS assays, followed by ethyl acetate and hexane extracts. D. bulbifera tested against MDA-MB-231 and MCF-7 cell lines showed a pronounced cytotoxic effect with IC50 values of 8.96 μg/mL, 6.88 μg/mL, and 3.27 μg/mL in MCF-7 and 14.29 μg/mL, 11.86 μg/mL, and 7.23 μg/mL in MDA-MB-231, respectively. Cell cycle analysis also indicated that D. bulbifera prompted apoptosis at various stages, and a significant decrease in viable cells was detected within 24 h and substantially improved after 48 h and 72 h of treatment. Phytochemical profiling of methanol extract revealed the presence of 39 metabolites such as acetic acid, n-hexadecanoic acid, acetin, hexadecanoate, 7-tetradecenal, phytol, octadecanoic acid, cholesterol, palmitic acid, and linolenate. Hence, these findings concluded that D. bulbifera extract has promising anticancer and natural antioxidant agents. However, further study is needed to isolate the bioactive compounds and validate the effectiveness of this extract in the In in vivo model

An investigation of the biological effects of electromagnetic fields and risk assessment of magnetic resonance imaging systems

Thesis (Nucl. E.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1994.Includes bibliographical references (leaves 22-24).by Mahmood A. Cheema.Nucl.E

Aerospace Medicine and Biology: A continuing bibliography with indexes, supplement 145

This bibliography lists 301 reports, articles, and other documents introduced into the NASA scientific and technical information system in August 1975

Apparatus and methods for manipulation and optimization of biological systems

The invention provides systems and methods for manipulating, e.g., optimizing and controlling, biological systems, e.g., for eliciting a more desired biological response of biological sample, such as a tissue, organ, and/or a cell. In one aspect, systems and methods of the invention operate by efficiently searching through a large parametric space of stimuli and system parameters to manipulate, control, and optimize the response of biological samples sustained in the system, e.g., a bioreactor. In alternative aspects, systems include a device for sustaining cells or tissue samples, one or more actuators for stimulating the samples via biochemical, electromagnetic, thermal, mechanical, and/or optical stimulation, one or more sensors for measuring a biological response signal of the samples resulting from the stimulation of the sample. In one aspect, the systems and methods of the invention use at least one optimization algorithm to modify the actuator's control inputs for stimulation, responsive to the sensor's output of response signals. The compositions and methods of the invention can be used, e.g., to for systems optimization of any biological manufacturing or experimental system, e.g., bioreactors for proteins, e.g., therapeutic proteins, polypeptides or peptides for vaccines, and the like, small molecules (e.g., antibiotics), polysaccharides, lipids, and the like. Another use of the apparatus and methods includes combination drug therapy, e.g. optimal drug cocktail, directed cell proliferations and differentiations, e.g. in tissue engineering, e.g. neural progenitor cells differentiation, and discovery of key parameters in complex biological systems

Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems

A huge amount of genetic information is available thanks to the recent advances in sequencing technologies and the larger computational capabilities, but the interpretation of such genetic data at phenotypic level remains elusive. One of the reasons is that proteins are not acting alone, but are specifically interacting with other proteins and biomolecules, forming intricate interaction networks that are essential for the majority of cell processes and pathological conditions. Thus, characterizing such interaction networks is an important step in understanding how information flows from gene to phenotype. Indeed, structural characterization of protein–protein interactions at atomic resolution has many applications in biomedicine, from diagnosis and vaccine design, to drug discovery. However, despite the advances of experimental structural determination, the number of interactions for which there is available structural data is still very small. In this context, a complementary approach is computational modeling of protein interactions by docking, which is usually composed of two major phases: (i) sampling of the possible binding modes between the interacting molecules and (ii) scoring for the identification of the correct orientations. In addition, prediction of interface and hot-spot residues is very useful in order to guide and interpret mutagenesis experiments, as well as to understand functional and mechanistic aspects of the interaction. Computational docking is already being applied to specific biomedical problems within the context of personalized medicine, for instance, helping to interpret pathological mutations involved in protein–protein interactions, or providing modeled structural data for drug discovery targeting protein–protein interactions.Spanish Ministry of Economy grant number BIO2016-79960-R; D.B.B. is supported by a predoctoral fellowship from CONACyT; M.R. is supported by an FPI fellowship from the Severo Ochoa program. We are grateful to the Joint BSC-CRG-IRB Programme in Computational Biology.Peer ReviewedPostprint (author's final draft

Extremely low-frequency electromagnetic field induces acetylation of heat shock proteins and enhances protein folding

doctoral thesi