Comparison study of different value at risk models and their effectiveness on the Malaysian palm oil futures (FCPO) market

Market risk is an important element of derivatives trading and can cause derivatives market participants to suffer substantial amount of loss if not managed properly. Value at Risk (VaR) is a tool that has been used to manage market risk particularly in the developed markets. This research tries to identify which VaR model out of three models namely Historical Simulation, Delta Normal and Age Weighted Historical Simulation that can be effectively used as risk management tool for Malaysian derivatives market particularly the Malaysian Palm Oil Futures (FCPO) market. The back testing process was conducted to study the number of violations of each models produced and the exceptions were tested using Kupiec Proportion of Failure (POF) test to find the most accurate model. The study revealed that the Age Weighted Model was the most effective and robust compared to the other two models. Age Weighted potentially can be a viable alternative method of market assessment along with more complex models such as Monte Carlo Simulation and GARC

Information Literacy Skills of Alagappa Chettiar Government College of Engineering & Technology Students in Karaikudi, Tamilnadu: A Case Study

The study analyzed the Information Literacy Skills among 90 Engineering Students of Alagappa Chettiar Government College of Engineering. A well-structured questionnaire was used for data collection and MS Excel software was used for analyzing the data. The study revealed that the majority of the respondents are Male 78(86.7%) and 26(28.8 %) of respondents are Mechanical Engineering (Mech) Students and fewer respondents from Electronics and Communication Engineering (ECE) Students. Most of the respondents 29(32.22%) used the First-year students and fewer respondents from Fourth-year students. All of the respondents 90(100%) used the awareness of ICT and Internet Literacy. Most of the respondents 34(37.77%) used the three years’ Experience in handling the internet and fewer respondents from Less than one year. 25(27.77%) of the respondents using internet study purpose; 20(22.22%) of the respondents use the exchange idea purpose and 12(13.33) of the respondents use Research and development purpose; most of the respondents 60(66.66%) use the Google Chrome; 14(15.55%) Others, 10(11.11%) Yahoo; most of the respondents 18(20%) used the engineering e-database IEEE Xplore and fewer respondents from e-database NTIS; most of the respondents 86(95.55%) used the Ms Office and other basic skills of Computer Literacy; 85(94.44%) Laptop & Tablets; 83(92.55%) Basic hardware usages like connecting laptop with projector and 68(75.55%) Using software packages; 78(86.66%) of students are not aware of security risks in sharing of personal information in Net and 12(13.33%) of students are aware of security risks. 81(90%) of students can Access needed information, 73(81.11%) of students are Formulating the need of information and 48(53.33%) of students are not skilled enough to use the accessed information effectively and efficiently

Surface modified nano-zeolite used as carrier for slow release of sulphur

Surface modified nano-zeolite (SMNZ) was used as carrier to develop nano-zeolite based nano-sulphur fertilizer. A laboratory study on sulphur nano-fertilizer and conventional sulphur fertilizer were studied with percolation reactor system to evaluate the slow release of sulphur from both fertilizers in ambient temperature. SMNZ and sulphur nano-fertilizer were characterized using Fourier Transform Infrared Spectroscopy (FT-IR), Zeta Analyzer, Raman Spectroscopy, XRD and Scanning Electron Microscope (SEM). Raman spectroscopy confirmed the sulphur attachment at 480 cm-1 in the SMNZ. The FTIR spectra at 1030 cm-1 confirmed the sulphate attachments in the SMNZ spectrum. Zeta analyzer showed the surface charge of sulphur nano-fertilizer had (-) 52.6 mV. SEM imaged the sulphur loaded SMNZ in irregular flake like structure. A comparative study of the release of sulphate (SO4 2-) from fertilizer-loaded SMNZ and (NH4)2 SO4 fertilizers were performed using the percolation reactor. The results showed that the SO42- supply from fertilizer-loaded SMNZ was available even after 912 h of continuous percolation, whereas SO42- from (NH4)2 SO4 was exhausted within 384 h. These properties suggest that SMNZ has a great potential as the fertilizer carrier for slow release of SO42-

An Automatic Rice Plant Disease Detection Model Built With Unstructured Data Using IMDT Tiling and CNN Cognitive Object Detection

Nowadays agriculture and processes are getting more intelligent mechanisms to improve the yield and reduce manual work. Smart agriculture provides numerous modern ideologies to farmers. But still, farmers face one important issue crop disease. Many researchers provide plenty of ways to recover and tackle the situation to come out of this problem. Therefore, they proceed with image processing to identify diseases from rice plant images. Farmers mainly face problems to take proper images for classification. Because of various reasons like various environmental factors, farmers ignorance, field size, capturing angle, device limitations, etc. are affecting the quality of the disease detection system, and these factors degrade overall performance. For this problem, introducing the Intelligent multi-dimensional tiling (IMDT) technique with an advanced convolution neural network with cognitive object detection (CNN-COD). IMDT technique developed with an intelligent expert system that adjusts input image size, capturing angles and other factors automatically. This advanced tiling technique supports to do the cropping and fluttering of input images for resizing. And CNN-COD model was used to calculate rice leaf width size and rescaled at the time of image segmentation with the Residual network (ResNet) model. Created dynamic tiled images are uniformly and scaled dimensional objects. These input values are used to train the CNN-COD rice plant disease, prediction model. Our proposed models were appraised on more than 4960 images which contain 8 various types of rice crop diseases. The experimental result portrayed out the CNN-COD model receives significant improvement in objection detection and image classification for the rice plant disease detection system. Mean average precision (MAP) values compared the CNN-COD model with the YOLOv4 model it got improved by 3.7% with the tiled input dataset

AWARENESS AND USER PATTERN OF E-RESOURCES AMONG THE RESEARCH SCHOLARS IN ALAGAPPA UNIVERSITY: A STUDY

The study analyzed the awareness and usage of e-resources among 110 research scholars of Alagappa University. A well-structured questionnaire was used for data collection and MS Excel software was used for analyzing the data. The study revealed that majority of the respondents are female 84(76.4%) and 75(62.8) % of respondents are M.Phil. research scholars and less respondents from Ph.D. scholars. Most of respondents 30(27.2%) used the library fortnightly, 22(20%) of respondents use library daily. Further the study found that 83(75.5%) of using Google Search engine; 17(15.5%) of the respondents use the yahoo. The study identify the 35(31.8%) of the respondents use the e-journals and 22(20 %) of the respondents use the e-thesis for their research & projects and 20(18.1%) of the respondents use online e-books to get information. The study found that 30(27.2%) of respondents using online electronic information resource to Update knowledge and 25(22.7%) of respondents use it study purpose; 44(40%) of respondents used to store and share information in online resource using Google drive, followed by 28(25.4%) respondents using store and share Hard disk & Hard drive and 21(19%) of respondents using Memory card

AWARENESS AND USER PATTERN OF E-RESOURCES AMONG THE RESEARCH SCHOLARS IN ALAGAPPA UNIVERSITY: A STUDY

The study analyzed the awareness and usage of e-resources among 110 research scholars of Alagappa University. A well-structured questionnaire was used for data collection and MS Excel software was used for analyzing the data. The study revealed that majority of the respondents are female 84(76.4%) and 75(62.8) % of respondents are M.Phil. research scholars and less respondents from Ph.D. scholars. Most of respondents 30(27.2%) used the library fortnightly, 22(20%) of respondents use library daily. Further the study found that 83(75.5%) of using Google Search engine; 17(15.5%) of the respondents use the yahoo. The study identify the 35(31.8%) of the respondents use the e-journals and 22(20 %) of the respondents use the e-thesis for their research & projects and 20(18.1%) of the respondents use online e-books to get information. The study found that 30(27.2%) of respondents using online electronic information resource to Update knowledge and 25(22.7%) of respondents use it study purpose; 44(40%) of respondents used to store and share information in online resource using Google drive, followed by 28(25.4%) respondents using store and share Hard disk & Hard drive and 21(19%) of respondents using Memory card

Hybrid Composites for the Design and Development of Pressure Vessel for Underwater Applications

The study’s main objective is to design and develop pressure vessels in underwater applications using Hybrid composites-Fibre Metal Laminates (FML) so that the weight will be reduced. The proposed pressure vesselaccommodates electronics in the underwater ambient noise measurement system under an external hydrostatic pressure of 1 MPa (10 bar). The research study aims initially to design and develop a pressure vessel with stainless steel 316 L and subsequently design a pressure vessel with hybrid composites with a combination of composite materials of E-glass and carbon/epoxy materials with a metal alloy stainless steel 316 L. The pressure vessel has been optimised with varying metal and composite percentage combinations. The cylinder’s wall thickness has been pivotal in optimizing pressure vessel design. Classical Laminate Theory (CLT) transforms the FML pressure vessel or cylinder into a rectangular plate. As preliminary measures, FML specimen with a size of 0.45 m square laminate and 0°orientation has been developed with 50 % metal layer and 50 % fibre composites, and corresponding mechanical tests have been carried out as per the standards. The tensile strength of the developed FML is 420 MPa compared to base metal (SS316 L) strength of 556 MPa, and similarly, Flexural and Impact properties have shown a higher level when compared to other types of FMLs

Image Classification for Breast Cancer Using a Modified Convolution Neural Network Architecture

The most common type of cancer that results in death is breast cancer. In the world, millions of people struggle with this disease. Breast cancer can affect men and women but women are more affected. For awareness, it is necessary to understand the sign and symptoms of breast cancer. The most common sign is an abnormal lump in the breast. But there may be many reasons of develop abnormal lumps. Computer-Aided Diagnosis (CAD) is extensively used in pathological image analysis to help pathologists enhance diagnosis efficiency, accuracy, and consistency. Recent studies have looked into deep learning methodologies to improve the effectiveness of pathological CAD

Assessment of DNA Damage in Peripheral Blood of Tobacco Users

The smokeless tobacco has a physical powerful association with the risk of oral leukoplakia, oral submucous fibrosis, Oral squamous cell carcinoma and Squamous cell carcinoma of the head and neck. ST components exhibit genotoxicity and may alter the structure of DNA, proteins and lipids, resulting in the production of antigenicity. Present study was carried out to investigate the effects of chewing tobacco (CT) with smoking on lymphocyte DNA damage. After signing a consent form, volunteers provided blood samples (76 samples from including experimental and control subjects) to establish SCGE (comet).  Statistically significant results were obtained in experimental subjects when compared to controls. However association found with smoking had significant effect, and it can induce maximum amount of DNA damage. The genotoxic effect of chewing tobacco (CT) should be considered in addition to other known hazards for assessing health risks

Efficacy of cabergoline in the prevention of severe ovarian hyperstimulation syndrome in high-risk women undergoing assisted reproductive technology treatment

Background: Ovarian hyperstimulation syndrome (OHSS) is a severe and potentially life-threatening complication of controlled ovarian stimulation (COH). Cabergoline has been tried as a preventive measure for OHSS in high-risk women undergoing assisted reproductive technology (ART) treatment. Our study was done to assess the effectiveness of cabergoline in preventing severe OHSS in high-risk women undergoing ART treatment.Methods: This is a prospective interventional study done among patients undergoing ART with serum estradiol levels >4000 pg/ml on the day of hCG administration were included in the study. Women undergoing ART with serum estradiol levels >4000 pg/ml on the day of hCG administration, were assigned into two groups using random number allocation. Women in treatment group received cabergoline 0.5 mg daily for 8 days from the day of hCG administration and control group did not receive Cabergoline therapy. The patients in both groups were followed up to study the incidence and severity of OHSS in that treatment cycleResults: The incidence of severe OHSS was two in each group with clinical and ultrasound evidence of ascites. Embryo transfer was cancelled in one patient in each group in view of severe OHSS with tense ascites. One patient in treatment group had severe OHSS that needed peritoneal fluid tapping with fresh frozen plasma administration. Life threatening complications were not encountered in any of the patients with high risk for OHSS included in the study.Conclusions: Cabergoline did not prevent the incidence of severe OHSS in patients at high risk for OHSS in our study. Large randomized trials would be needed to confirm the findings of our study