Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Palm Oil Demand in India

India is the world’s leading importer of edible oils and is likely to remain a prominent importer in the future. Her large population and steady economic growth are important contributing factors for her increasing consumption and imports. In the late 1980s and early 1990s, India pursued self-sufficiency in vegetable oil production. However, domestic production was then stagnant and unable to meet the growing demand. This caused the government to allow the import of edible oils under open general license (OGL), particularly of palm oil due to its price competitiveness. With the increasing demand for imported oils and fats, especially palm oil, a study on India’s palm oil demand is deemed important. This study aimed to determine factors influencing the demand for palm oil in India by using the Autoregressive Distributed Lag (ARDL) models over the period 19802015. The result of the bound test indicates that there is a long-run relationship between the studied variables and palm oil demand. The empirical result reveals that population has a significant positive relationship with palm oil demand in India in the long-run. However, domestic income measured by gross domestic product (GDP) and the price discount of palm oil over soyabean oil was found to have a significant negative relationship with palm oil demand in India. The negative relationship between GDP and palm oil demand shows that palm oil is perceived by Indians to be an inferior goods. Meanwhile, the negative relationship between the difference between soyabean and palm oil prices and palm oil demand shows that not only are soyabean and palm oils close substitutes, but also that palm oil has the characteristic of a giffen goods. Factors Affecting Palm Oil Demand in India Kalsom Zakaria*; Kamalrudin Mohamed Salleh*and Balu, N* * Malaysian Palm Oil Board, 6 Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia. E-mail: kalsom@mpob.gov. my
LEVEL OF ADOPTION OF IMPROVED CASSAVA VARIETIES AND THE PROFITABILITY OF CASSAVA PRODUCTION IN ENUGU STATE , NIGERIA BY OKORIE

While much work has been done on the adoption and spread of agricultural innovation (technologies), adoption has not been seen as a continuum. It became imperative to analyze the socio-economic variables’ status and their effects on the farmers’ resource use pattern as evidenced in their decision relative to cassava technologies. The main objective of the study was to analyze adoption and profitability of cassava production in Enugu State. Structured questionnaire and interview schedule were used to generate data which were analyzed using appropriate descriptive and inferential statistics. The result of the analysis underscores the poor farming resources of respondents, typical of subsistence agriculture. The mean gross margin in cassava production was N19, 228.40 and standard deviation of N7, 658.02per cropping season; average farm sizes of 0.31 hectare and standard deviation of 0.38 hectare; output price per barrow of N 1149.77 and standard deviation of N 423.91; the average price of fertilizer was N4,038.81 with N738.77 standard deviation per bag; the price of labour was comparatively stable across the sampled area with average of N977.63 and standard deviation of N212.67per man-day. The estimated parameters of socio-economic variables using the stochastic profit frontier analysis showed that farm sizes of households was negative and significant in generating gross margin while the average price of fertilizer was positive and significant with gross margin. For inefficiency factors, age was positive and significant while years of formal education, years of experience and household size were negatively and significantly related with gross margin. The discrete decision of whether or not to adopt and the continuous decision of extent of adoption of improved cassava varieties showed that farm size was negatively and significantly related with the discrete decision of whether or not to adopt while the price of labour, price of fertilizer, household sizes and the age of household heads were positively and significantly related with the discrete decision too. These factors failed to affect the extent of adoption significantly. The constraints militating against the extent of adoption of improved varieties of cassava were identified with capital as the most critical followed by poor access to credit, low income of households, land scarcity, poor price of finished cassava products, lack of processing facilities labour scarcity and cost of planting materials respectively. It was recommended that government should provide arable land, credit inputs and source of capital, among other things, to enhance proper adoption of improved cassava varieties and hence increase in the level of cassava production.
Improving postfire soil burn severity mapping with hyperspectral unmixing

23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 The capabilities of high resolution hyperspectral imagery were investigated to discriminate fine-scale postfire ground cover components after the 2002 Hayman Fire. Four spectral endmembers (ash, soil, scorched and green vegetation) were used in a Mixture Tuned Matched Filtering partial spectral unmixing process. From 72 validation field plots, the ground measures of each endmember were found to be significantly related to the corresponding matched filter (MF) scores. Vegetation measures were more strongly correlated to the MF scores (green vegetation [r=0.51, p-value <0.0001] and scorched vegetation [r=0.55, p-value <0.0001]) than surface cover measures (soil [r=0.40, p-value =0.0006] and ash [r=0.30, p-value =0.01]). However, soil surface effects were more accurately assessed with the fine-scale hyperspectral imagery than normalized burn ratio (NBR) values that are routinely used to create postfire burn severity maps.
A Morphology based Approach for Human Skin Detection in Color Image

A reliable skin detection method that is adaptable to different human skin colors and illumination is very essential for human skin detection. Today’s many skin detection methods are available in literature but they are not able to cope with variety of skin colors. Several image processing and computer vision approaches have been developed for human skin detection. In this work we propose a mathematical morphology based YCbCr method which given better performance as compare to other HSV, YCbCr color spaces. This method is simple and efficient. The experimental result shows that the proposed method can achieve satisfactory performance in real time applications.
Debasruti Ghosh THE MOTHERHOOD CHALLENGE : EXAMINING THE ROLE OF COPING STYLES AND PERSONALITY IN INFERTILE WOMEN

Infertility evokes an enormous amount of psychological distress in women. The chronic nature of the diagnosis has been associated with depression, anxiety and problems related to body image. Apart from the medical treatment paradigm involved in Assisted Reproductive Technology (ART), current approaches also focus on understanding and addressing the psychological problems related with the condition. Studies have pointed out that adaptive coping approach reduces the impact of these psychological problems. The aim of this study was to explore the differences between women who have been diagnosed with infertility (N=30) and matched normal fertile controls (N=30) on personality and coping styles. Formal Characteristics of Behavior Temperament Inventory (FCB-TI) was used to investigate personality aspects and Coping Styles Questionnaire was used for coping pattern. Statistical analysis of data revealed that infertility group scored significantly lower than control group on temperamental dimension Briskness (p< .01) and Sensory Sensitivity (p< .05). The results further revealed that infertile women differed significantly in coping patterns and primarily resorted to Emotional (p< .01) and Avoidance coping (p< .001) methods. On the basis of obtained results it can be concluded that women with infertility use emotional and avoidance approach, but not rational, which can be a reason of stress and anxiety in them. They also cannot adapt to changes easily and seem to brood over their problems. Hence, it is imperative that psychotherapeutic approaches should focus on enhancing rational coping in infertile women.
Prevalence of Self-medication and its Associated Factors among Pregnant Women Attending Antenatal Care at Nekemte Referral Hospital, Oromia Regional State, West Ethiopia

Background: Self-medication is one element of self-care in which individuals to treat self-recognized illnesses or symptoms did the selection and use of medicines. Pregnant women’s practice self-medication to treat a number of medical conditions. However, self-medication in pregnant women’s leads to potential drug adverse reaction. Higher risks were reported if women were in their first trimesters of pregnancy. Objectives: The objective of this study is to assess the prevalence of self-medication and its associated factors among pregnant women attending antenatal care at Nekemte Referral Hospital. Methodology: A Hospital based cross-sectional study was conducted among 195 pregnant women attending antenatal care at Nekemte Referral hospital from May to June 2018. Semi-structured interviewer questionnaire was used to collect data from each study subjects. SPSS version 21 software was used to categorize and analyze data. Association is significant at p-value less than 0.05. Results: In this study, 195 pregnant mothers were participated. The respondents’ age range from 21 to 45 years and their mean age was 30.4+3.45 years. Self-medication practice among pregnant women was 21.5% with the most common self-medicated drugs were paracetamol 19 (45.2%) and amoxicillin 12 (28.6%). Respondents aged between 20 to 30 years (AOR=0.108, 95% CI: 0.012-0.952) and 31 to 40 years (AOR= 0.078, 95% CI: 0.009-0.698) were less likely to practice self-medication than those above 40 years old respondent. Farmer pregnant women were less likely (AOR=0.881, 95% CI: 0.006-1.099) to use self-medication than students. Conclusion: The prevalence of self-medication was 21.5% among respondents. Pregnant women with age group of 31 to 40 years and farmers had less likely to practice self-medication.
Low expression of long noncoding RNA GAS 6-AS 1 as a novel biomarker of poor prognosis for breast cancer

Background: Breast cancer is the most frequent cancer for women in the worldwide. Recent studies showed that long noncoding RNAs might play important roles in a broad range of biological processes. The aim of the present study was to investigate the potential correlation between lncRNA GAS6-AS1 expression level and clinicopathological characteristics as well as prognosis in breast cancer. Methods: The expression of GAS6-AS1 was analyzed in 90 pairs of breast cancer tissues and their matched nontumor adjacent tissues (NATs) as well as 4 breast cancer cell lines by real-time PCR. The correlation between expression of GAS6-AS1 and clinicopathological characteristics as well as prognosis was analyzed by non-parametric test and log-rank test. Result: The results showed that GAS6-AS1 expression was significantly downregulated in breast cancer cell lines and breast cancer tissues compared with their matched NATs. The expression of GAS6-AS1 was correlated with lymph node metastasis (P=0.03) and histologic grade (P=0.01). The Kaplan-Meier curves indicated that the overall survival (OS) and disease-free survival (DFS) were all significantly poor in low GAS6-AS1 expression breast cancer patients. Moreover, the expression of lncRNA GAS6-AS1 was found to be an independent prognostic factor of breast cancer by Cox’s regression. The ROC curve indicated that GAS6-AS1 may be a potential biomarker for diagnosis of breast cancer. Conclusion: Our research indicated that lncRNA GAS6-AS1 is significantly downregulated in breast cancer cell lines and tissues. GAS6-AS1 may represent a new marker for prognosis of breast cancer.
Using impact evaluation to improve policymaking for climate change adaptation in the agriculture sectors Integrating Agriculture in National Adaptation Plans Programme (NAP–Ag) Impact evaluation for the formulation and implementation of NAPs

1. While a performance monitoring system collects, aggregates and reports quantitative data at the levels of input, activity and output on a routine basis, project evaluation techniques are expected to measure outcomes of the project. An impact evaluation is a special study that utilizes a counterfactual to attribute observed outcomes to the intervention as well as estimate the impact of a project.i
Numerical Simulation of Rigid Wheel Running Behavior on Sand Terrain

The complex running behavior of rigid wheel on sand terrain is simulated by 3D coupled discrete and finite element method(FE-DEM) based on soil-bin experiment. First, 3D spherical discrete elements(DE) are randomly generated in a specific area with radius value in a given size range to describe the sand terrain, the DE are compacted to a stable state under self-weight to simulate the real sand state. Then, the rigid wheel which is described by finite elements(FE) sinks on to sand terrain surface under the action of external vertical load and self-weight until an equilibrium state is reached. After that, a constant angular velocity and corresponding translation velocity are added to the wheel to investigate the running behavior under different slip ratio conditions. The tractive performance parameters such as net draw bar pull and sinkage are expressed, and the simulation results are compared with current soil-bin experiment results to verify the effectiveness of the method.
A Bidirectional Multiband Fractal Slot Antenna Fed by CPW

This paper presents a multiband slot antenna using a technique of fractal geometry fed by coplanar waveguide (CPW) transmission line. The presented antenna is designed at the operation frequencies 1.57, 3.7, and 4.8 GHz. The presented antenna has been created by using an initial generator model to repeat at both sides of inner patch of the antenna to operate at multiple resonant frequencies. Obviously, it has been found that the radiation patterns of the presented antenna are still similarly to the bidirectional radiation pattern at all operating frequencies. The properties of the antenna including return losses, radiation patterns and gain are determined via numerical simulation and measurement. Keywords-component; Fractal structure, multiband antenna,CPW, and slot antenna.
leistocene demographic expansion and high gene flow in the Globe kimmer dragonfly Pantala flavescens Fabricius ( Odonata : ibellulidae ) in Peninsular Malaysia an

The demographic history, population structure, and intraspecific diversity of the Globe Skimmer dragonfly Pantala flavescens Fabricius in Peninsular Malaysia were characterized based on variation of the mitochondria-encoded cytochrome c oxidase subunit I (COI) sequences. A median-joining network of 94 taxa inferred 71 unique haplotypes across four distinct geographic regions (i.e., northern, southern, central, and eastern). The distribution of these haplotypes, however, revealed no apparent geographical pattern, indicating minimal population genetic structure and high gene flow among all populations. A Mantel test showed an absence of isolation by distance (IBD), no significant association between genetic distance and geographic distance was observed. Mismatch distribution and neutrality tests provided
Noesis-Advanced Data Analysis, Pattern Recognition & Neural Networks Software for Acoustic Emission Applications

The complexity of Acoustic Emission (AE) can be overwhelming, if the appropriate tools are not available to the analyst. The main tool used for AE data analysis has traditionally been feature correlation graphs. These have allowed experienced users to investigate the data structure, decide on the origin of the data, apply appropriate filters and investigate the validity of the result. This task is very difficult and time consuming especially in novel applications. The NOESISTM is a software application for advanced Acoustic Emission data analysis, pattern recognition & neural networks. It offers powerful tools to aid and improve data analysis, ranging from drastically improved graphics with numerous options to view the data in new and different ways, to mathematical algorithms for signal processing, event location, data discrimination, classification and manipulation after or during acquisition. All NOESISTM functions are available to the user in a friendly way resulting in the most time effective means of treating AE data for any application. NoesisTM, has been recognized by industry and research institutions, as the most advanced tool for AE data analysis and it is currently used in a large number of AE applications world-wide, from industrial inspections to aerospace research. It provides all the tools an analyst would like to use in industrial applications as well as for research purposes with its very advanced data manipulation functions. NOESISTM successfully solved many challenging and innovative applications like granulation end point prediction of pharmaceutical products, crack detection of high noise areas in roller coasters, in-flight helicopter gear boxes and gas turbine stator cracking.
X-linked Toll-like receptor 7 polymorphism associated with susceptibility to Chikungunya Fever

Objective: To investigate the association between TLR3 and TLR7 polymorphisms with susceptibility and clinical manifestations of Chikungunya Fever. Methods: A total of 177 individuals were studied: 73 patients with a confirmed diagnosis for Chikungunya virus and 104 non-infected individuals. Polymorphisms were determined by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). Results: Our analysis showed an increased CC genotype frequency of the TLR7 rs3853839 polymorphism in male patients compared to control (29% versus 2%, respectively; OR=20.69; 95 % CI= 2.55-167.36; P<0.001). Furthermore, arthritis (acute and chronic) was frequently found in CC male patients. On the contrary, 65% of CG carriers were no-infected males (29% versus 65%, respectively; OR=0.23, 95% CI=0.48-3.04; P=0.002). Finally, we observed a higher frequency of lymphopenia in CG male patients (CG=666.86±233.77, GG=1,314.27±752.29 cells/mm3, P=0.047). Conclusions: Our results suggest the TLR7 rs3853839 polymorphism is associated with lymphopenia and increased susceptibility to Chikungunya Fever in males.
Design , Analysis and Manufacturing of Bare Metal Coronary Stent using PCM

The paper presents the design, analysis, and manufacturing of bare metal coronary stent using Photochemical Machining (PCM). The stent is used to overcome the coronary Heart diseases (CHD) by inflating the narrowed of arteries. The finite element analysis has been carried out to investigate critical region and parameters in the perspective of efficient mechanical performance for the designed stent. The numerical simulation of crimping process and balloon expanding has been carried out. The crimping is done up to 2 mm mean diameter with the external pressure of 0.42 MPa. And again by applying internal pressure of about 1.2 MPa expand stent up to original dimension of 4 mm. The Photochemical Machining is a new approach of has been characteristically employed in the manufacturing of stent. In this work 3D micro image printing incorporated with UV light curing for production of required pattern. This work aims to manufacture designed shaped bare metal stent prototype with minimum surface roughness. The wet chemical etching process is used for manufacturing a stent from the optimised etching parameters. Input parameters are a concentration of etchant 500 g/l, time of etching 50 minutes and etching temperature is 50°C.
cient Decomposition Learning Method for Support Vector Regression

A decomposition learning method for support vector regression is proposed. This method is based on the algorithm proposed by Flake and Lawrence but distinguished from it by the following properties: 1) the size of subproblems is not restricted to two but can be any even number, 2) working set is determined in a systematic way, 3) subproblems are in the form of QP problems and therefore can be solved e fficiently. Efficiency of the proposed method is shown via computer simulations.
Low-temperature sintering and prolonged holding time on the densification and properties of zirconia ceramic

Centre of Advance Manufacturing & Material Processing (AMMP), Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia Department of Mechanical and Materials & Manufacturing Engineering, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, Cheras, Kajang 43000, Malaysia Ceramics Technology Group, SIRIM Berhad, Shah Alam 40911, Malaysia Escuela Universitaria Politécnica de La Almunia, Universidad de Zaragoza, Spain Kyushu University, Fukuoka, Japan
Power Factor Correction In A Soft Switching Bridgeless Ac Dc Converter

Novel soft-switching, bridgeless power factor correction (PFC) boost converter is proposed for power supply and battery charging applications. And its converter operates in both pulse-width-modulation (PWM) mode and resonant mode each switching cycle, and utilizes paradigm average current mode control. The converter is bridgeless, so eliminating the need for a front-end diode bridge rectifier. It operates in continuous conduction mode (CCM) and achieves zero voltage switching (ZVS) for all switches. The proposed converter also reduces the turn-off losses of the PWM switches, therefore nearly eliminating switching losses. The PWM switches of the proposed converter can be driven with the same PWM signal, enabling simplified control.
Statistical Steganalysis of High Capacity Image Steganography with Cryptography

Steganalysis of high capacity Wavelet based fusion image steganography with encryption, using Image quality metrics (as a set of features) is proposed. As the first order image statistics using the proposed algorithm are inherently preserved, which is desirable feature of the scheme, improving the security of algorithm against the targeted attacks . In addition comparing the present steganography scheme with two different encryption techniques, on the undetectibility ground, the generalized objective metric like SVD is used as a steganalysis tool. DFrFT encryption is found statistically and visually undetectable achieving the desired robustness though PSNR values are better in DNA encryption © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Organizing Committee of ICCCV 2016.
HIDE IMAGE AND TEXT USING LSB, DWT AND RSA BASED ON IMAGE STEGANOGRAPHY

In this modern era, where technology is increasing at rapid pace and made all day new developments, security is of highest priority. To protect facts into the unrecognizable form diverse technique are used for records hiding like steganography and cryptography techniques have been advanced. This paper securing the image by way of encryption is completed by LSB bits, DWT and RSA algorithm. This paper additionally presents new strategies wherein cryptography and steganography are mixed to scramble the information and in addition to cover the insights in some other medium through image processing (IP). The encrypted picture can be hiding in some other image by way of the use of LSB bits, DWT strategies so that the secret’s message exists. RSA algorithm applied, receiver will use his/her private key because the secret data have been encrypted by recipient public key. Hide encrypted image in the cover image by DWT. Extract encrypted image from cover image and decrypt text by DWT. The proposed scheme is implemented in MATLAB platform the use of preferred cryptography and steganography set of regulations. Calculate PSNR and MSE. Also calculate the entropy of cover image and stego image. This method is secure for communication in the digital world with the digital data transmission.