Miracle-dz/UniFAR-FTUs huggingface dataset:
Preventive effect of esculetin on lipid peroxides and antioxidants in isoproterenol-induced myocardial infarction in Wistar rats

The present study is undertaken to evaluate the effect of esculetin on the levels of lipid peroxidation and antioxidants in isoproterenol (ISO)-induced myocardial infarction (MI) in Wistar rats. The rats were subcutaneously injected with isoproterenol (ISO) (85 mg/kg) at an interval of 24 hours for two days. A significant increased in the levels of thiobarbituric acid reactive substances (TBARS) and hydroperoxide (HP), whereas the activities of antioxidant enzymes such as superoxide dismutase (SOD), catalase, glutathione-S-transferase (GST), glutathione peroxidase (GPx) and non-enzymatic antioxidants like reduced glutathione (GSH), vitamin E & C were significantly decreased. Oral pretreatment with esculetin (10 and 20 mg/kg) to ISOinduced rats daily for a period of 21 days significantly decreased the levels of TBARS and HP also increased the levels of both enzymatic and nonenzymatic antioxidant. This could be due to free radical scavenging and antioxidant property of esculetin. Thus, our finding demonstrates that esculetin prevents the alterations in lipid peroxidation and antioxidants status during ISO-induced MI in rats.
Flyback with Half Wave Rectifier for Single Stage Power Factor Correction

The flyback converter type single-stage converter and a half wave rectifier with time-multiplexing control (TMC) for power factor correction is proposed. It has the advantage of better magnetic core utilization and better performance for high power applications. The major portion of the input is transferred to the load through ac-dc conversion. And the part of the input power is delivered to the auxiliary output through the flyback conversion and stored in the capacitor. The voltage ripple of the main output can also be reduced. With TMC the power processes can be achieved by single transformer to reduce the cost and the size of the converter. The simulation result of the proposed converter presents, simplicity, high power factor with low cost and size. Index Terms -Power Factor Correction (PFC), Single –Stage, Flyback Converter.
MEMS Diaphragm Based Pressure Sensor for IOTs

With proliferation of wireless sensor networks (WSN) and Internet of Things (IOTs) where communication requires major share of power, low power communication systems have become important and urgent requirement. Many systems (Things) are also deployed in harsh environment where semiconductor electronics may not work as anticipated. It is due to their inherent thermal and radiation sensitivity due to minority carriers generation. Many alternatives are being explored to tackle these issues and MicroElectroMechanical system (MEMS) are being explored as one of the important alternatives. The objective of this paper is to use the MEMS components for detection of introcular pressure at a very early stage and communicate the detection utilizing minimum power. MEMS diaphragm is the electromechanical device with wide application range, is used as pressure detection element in this design for an IOT sensor node. It has a performance advantage over its semiconductor counterpart, primary being the very low leakage power dissipation and majority carrier device. The use of MEMS components will lead to the improvement in saving power and deployment in sensitive prone applications or sensitive areas.
Growth Differentiation Factor 15 (GDF-15) PredictsRisk in Cardiovascular Disease -Review of theLiterature

Background: Ischaemic heart disease (IHD) including coronary artery disease and its final result-myocardial infarction is the greatest single cause of mortality and one of the most common cause of disability. To reduce mortality, it is important to pay attention to the diagnosis of ischaemia as well as the inclusion of appropriate treatment.The effectiveness of diagnosis and treatment can be increased by using new cardiac-specific markers characterized by high sensitivity and specificity whose level correlates with the severity and extent of necrosis. Such a novel biomarker seems to be growth differentiation factor 15 (GDF-15).
Unmanned Aerial Vehicle Technology Using Wireless Sensor Networks

— Unmanned Aerial Vehicles (UAVs) technology is evolving very quickly. New advancements in this important area of research have led more efficient and superior UAVs of all sizes, which have a vast amount of on-board command, control, processing, storage and networking capabilities. Such devices promise to be very useful and efficient in a wide variety of applications. In addition to the numerous tasks and services that would be greatly improved using UAVs, these useful devices can be used to enhance the data collection process in wireless sensor networks (WSNs), which have a large number of environmental, military, and commercial monitoring and surveillance applications. In this paper, we offer an overview of UAV system services, and functions and use of UAVs for agriculture. We discuss the use of UAVs for data collection in WSNs. Such use of UAVs can be very effective in reducing WSN energy consumption and communication interference, which can lead to a highly scalable and efficient networking framework
NATURAL GAS HYDRATES : THE FUTURE’S FUEL

In recent years, the topics of naturally occurring gas hydrates have attracted major interest worldwide due to the fact that they may play a dominant role as possible energy resources in the future. Prior to this natural gas hydrates were mainly viewed at as a source of operational problems in gas processing and transportation equipment. The historical background and development of natural gas hydrates is reviewed as well as the necessary fundamental information about the structures of gas hydrates. One prerequisite of stable operation of gas processing plants as well as the allocation of gas deposit is the exact knowledge of the hydrate stability (equilibrium) data. Whereas a lot of data have already been measured and based on this reliable computation methods have been developed, there is still the necessity to measure equilibrium data to further improve the accuracy of the models.
Face Hallucination Using Sparse Representation Algorithm

— Face Hallucination is a super-resolution technique to obtain high-resolution facial images by taking low-resolution facial images as input. In this paper problem of face hallucination has been approached by using sparse Representation. The image has to be subdivided into different segments so that image pixel information can be retrieved easily from each segment. Each small patch of the image has to be enhanced by using sparse representation. Sparse representation utilizes super resolution model to improve the quality of the image. Super-resolution model couples the small patches dictionaries by using different types of linear shifting experiments. Experimental hallucination results demonstrate that our approach can hallucinate high quality super-resolution faces.
Effect of Application of Sole Organic, Inorganic Fertilizers and their Combinations on the Growth and Biological Yield of Fluted Pumpkin (Telfairia occidentalis)

The effect of application of sole organic, inorganic fertilizers and their combinations was investigated on the growth and biological yield of Fluted pumpkin (Telfairia occidentalis) at the Teaching and Research Farm, Babcock University, Ilishan Remo, Ogun state, Nigeria. Ten treatments were involved namely: No fertilizer (control), 100kgN/ha as Sulphate of Ammonia, SA (21%N), 100kgN/ha as Composted Maize Cob, CMC (0.97%N), 100kgN/ha as Composted Saw Dust, CSD (1.01%N), 50:50 CMC/SA combination, 50:50 CSD/SA combination, 50:50 CMC/CSD combination, 75:25 CMC/SA combination, 75:25 CSD/SA combination, 75:25 CMC/CSD combination, the treatments were replicated four times using Randomized Complete Block Design (RCBD). Seedling emergence, Leaf area, Leaf number, Plant height and dry matter weight of the crops were assessed. On the Plant height and Leaf number, application of 75:25 CMC/SA combination resulted in taller plants and more leafiness at 3 WAP compared to 75:25 CMC/CSD combination. The application of 100kgN/ha as sole Sulphate of Ammonia, gave the least leaf number and the shortest plant at 4WAP. The sole application of any of the organic fertilizers 100kgN/ha has proven to be superior in terms of (vegetative yield) of Telfairia occidentalis (ugu-elu) than its combination of each of the organic fertilizer with sulphate of ammonia.
ANALYSIS OF FEATURE TRAINING SET FOR IMPROVING CLASSIFICATION ACCURACY

– Electromyogram (EMG) signals give electrical manifestation of contraction of recorded muscle. EMG signals acquired from different muscle sites can be used to classify different hand movements based on the features extracted from the signals. The six time-domain features and autoregressive coefficient of 3rd order is used to form feature vector. The PCA-feature projection method is used to reduce the dimensionality of feature vector. The feature correlation of features RMS and AR of order 1 for forming class-cluster of for forming class cluster is highest compared to other feature combinations. The feature vector, obtained by applying PCA to seven feature set, shows maximum inter-class separability and uses 3 principle components of features for identification of 6 upper-limb movements.
STEM CELLS: A HOPE IN NEW ERA OF DENTISTRY

Stem cells are particularly important for developing innovative technologies for tissue engineering strategies to regenerate or replace damaged, diseased or missing tissues and even organs by in vitro cell manipulation and design of the extracellular environment. Stem cells residing in the orofacial region have been classed as the Mesenchymal stem cells (MSCs) /Adult stem cells (ASCs)/Tissue stem cells (TSCs). Clinical trials about jaw bone regeneration applied in dental areas such as implantology using stem cells and tissue engineering strategies have demonstrated positive results. Emerging stem cell technologies and the requirements of alveolar ridge augmentation associated with implant dentistry have expanded the clinical concept to include stem-cell-based regeneration. Furthermore, ‘‘dental stem cell banking’’ is already on the market for possible future use in regenerative therapies. The aim of the present review is to explain the different kinds and sources of stem cells from a clinical perspective in dentistry.
GO – A Persuasive Mobile Application For Indian Driving Scenario

— Those who have travelled on Indian roads must be familiar with the wrongful driving practices people perform which sometimes lead to major accidents. We did intensive research to find out the key reasons behind this. We figured out that most of the road mishaps take place due to behavioral issues of the drivers. For solving this road traffic problem, we had to majorly focus in bringing behavioral change that is easy to adapt and without the requirement of a drastic change. In this project, we have made a persuasive mobile application with gamification to encourage and motivate people to adapt better driving practices and drive responsibly.
Grid Interconnection of Renewable Energy Sources at the Distribution Level with Performance Comparison of Fuzzy Controller

Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters. This paper presents a novel control strategy for achieving maximum benefits from these gridinterfacing inverters when installed in 3-phase 4-wire distribution systems. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. The inverter can thus be utilized as: 1) power converter to inject power generated from RES to the grid, and 2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously. With such a control, the combination of grid-interfacing inverter and the 3-phase 4-wire linear/non-linear unbalanced load at point of common coupling appears as balanced linear load to the grid. This new control concept is demonstrated with extensive MATLAB/Simulink simulation studies and validated through digital signal processorbased laboratory experimental results. And the performance comparison of a wind power system based on two different induction generators as well as the experimental demonstration of a wind turbine simulator for the maximum power extraction.
Effect of Different Phosphorus Levels on Growth and Yield of Wheat under Water Stress Conditions

Water stress and low phosphorus availability are the limiting factors for growth and yield of wheat. Five different phosphorus levels (P = 0, 30, 60, 90, 120 kg ha -1 ) with three water stress levels (I 1 = well-irrigated, I 2 = water stress at reproductive stage and I 3 = water stress both at vegetative + reproductive stages) were applied to check their effects on growth and yield of wheat. Higher application of phosphorus with optimum irrigation showed significant effect on growth of wheat. Higher phosphorus application rate compensate the effect of water stress conditions both at vegetative and reproductive stages. Drought stress at vegetative + reproductive stages was more drastically affected as compared to stress at reproductive stage. Lower phosphorus application rate with water stress caused maximum reduction in plant height, number of tillers, spike length, number of grains spike -1 , 1000 grains weight, grain yield and straw yield. It was concluded that application of phosphorus at higher rate could compensate drastic effect of water stress. On overall performance, application of phosphorus at the rate of 120 kg ha -1 showed better results under water stress conditions as compared to other phosphorus levels. Keywords: - wheat, water stress, phosphorus, growth, yield
Spectrum - Sharing Multihop Cooperative Relaying Performance Analysis Using Cognitive Radio Networks

: Spectrum sharing networks with distributed AF relaying is used to improve the secondary rate and reduce the interference on the primary. In the asymptote of large number of relays optimal power strategy for the secondary source and relays was found, achieving a secondary rate proportionally to log n. The half-duplex rate loss was reduced and the scaling of secondary rate was enhanced by the introduction of the Alternating Relay Protocol. The trade-off between the secondary rate and the interference on the primary was characterized. The combined relaying technique of multi-hop amplify-and-forward (AF) and decode-and-forward (DF) techniques is employed to have a enhanced communication among the users . The proposed relaying technique improves the data rate by 20% under frequency selective fading channel compared to the AF & DF relaying under Rayleigh fading channel.
Secured and Advanced Authentication System Using Finger Vein Imaging

: The main objective of this system is to enhance security through vein based on imaging for personal authentication. Presented the design of a personal identification system based on Near Infrared (NIR) finger vein image. Propose an observation model of finger vein imaging, upon which a self-adaptive bilateral filter based illuminance control algorithm, is used. Algorithm could automatically adjust the illuminance distribution of lighting. Increase the illuminance of lighting, under which the thicker part of finger body is presented and decrease the illuminance of lighting, under which the thinner part of finger body is presented. The whole finger body could be illuminated appropriately according to its thickness distribution, and the overexposure and underexposure are avoided effectively.
Performance Analysis of FBMC-OQAM based 5G Wireless System using PAPR

This research work has an area of interest related to 5G technology driven by the concepts and formulations of different 5G forums developed across countries. This research surveys the idea of 5G communication technique with its conquest for bandwidth versus user. In this scenario the different forum have worked with different streams of frequencies ranging in Giga hertz. However in this research paper the main study and discussion focuses on power problem highlighted in 5G. This research work cares about FBMC 5G technique which remains a powerful contender of 5G with a disadvantage of power, the power problem is formulated using PAPR term and its reduction is also applied based on different techniques of PAPR reduction which are applicable to 4G LTE technique. Thus after careful observations the research paper recommends DSLM as a powerful technique of PAPR reduction 5G systems with the least PAPR values.
Dangar KP et al: Sex determination from distal epiphyseal breadth of Tibia www.jrmds.in

Background: Epiphyseal breadth of tibia is considered as a better determinant of the sex than the other variables of that bone in sexual diagnosis. Aim: To obtain values of distal epiphyseal breadth of tibia and estimate its role in sexual identification. Methods: A cross sectional study was carried out at Anatomy department P.D. U. Govt. Medical College, Rajkot, Gujarat, India on 194 dry, normal, adult human tibiae (106 male & 88 female). Distal epiphyseal breadth was measured in centimeter with the help of sliding caliper by noting distance between farthest points on medial surface of medial malleolus medially and fibular notch laterally. Results: Mean values obtained were 3.98 cm & 3.63 cm for right male & right female & 3.94 cm & 3.61cm for left male & left female respectively. Higher values in male were statically highly significant (p<0.001) on both sides. Demarking point (D.P) analysis of the data showed that right tibia with distal epiphyseal breadth more than 4.85 were definitely male and less than 2.71 were definitely female. While for left bones, tibia with distal epiphyseal breadth more than 3.19 were definitely male and less than 2.86 were definitely female. Distal epiphyseal breadth identified 1.89% of right male tibia. It was not useful for right female and for left bones. Conclusion: From the above study, it can be concluded that based on measurement of distal epiphyseal breadth of right and left tibia, sex differentiation can be made.
Validation of HPLC-UV Patulin Determination Method in Traditional Juices From Côte d’Ivoire

Object: The need to reduce dietary mycotoxins exposure, requires development of efficient analytical methods to assess mycotoxins level in food. The purpose of this study was to validate HPLC-UV method for patulin determination in traditional juices made of dry Guinea sorrel flowers or ginger rhizomes. Material and Methods: Patulin was extracted with ethyl acetate and purified with sodium bicarbonate solution (14 g/L). Elution of patulin was realised in isocratic mode with mobile phase consisting of acetonitrile-water (10/90 : v/v). Patulin was detected at 276 nm (UV). An amount of patulin was added to neutral portions of juices and the recovery rates were estimated after extraction. Results: The retention time was 5.03 min and the coefficient of determination of the calibration range (100 - 1500 µg/L) was 0.9994. Detection and quantification limits were respectively 1.4 µg/L and 4.6 µg/L for the two matrices. The recovery rates were 75.09 ± 0.27% and 75.27 ± 0.64% respectively for ginger and Guinea sorrel juices. Patulin was detected in 55% of ginger juice and 70% of Guinea sorrel juice. Patulin contents of 15% of ginger juice and 40% of Guinea sorrel juice were above the maximum level of patulin (50 µg/L) allowed in juices. Conclusion: This method may be used for patulin detection in these traditional juices because its recovery rates were acceptable and limit of quantification (4.6 µg/L) was largely bellow the maximum level of patulin (50 µg/L) allowed in juices.
Haar Ranking of Linear and Non-Linear Heptagonal Fuzzy Number and Its Application

: Fuzzy numbers play a vital role in all the decision making problems as it represents the value to the linguistic terms which is the input for all the decision making techniques. In the last decade, most of the researchers have used triangular and trapezoidal fuzzy numbers to represent linguistic terms for solving the problem in the uncertain environment. But it is inadequate of dealing a problem when fuzziness arises in seven different points. Therefore, this paper’s intent is to propose the linear and non-linear heptagonal fuzzy number under uncertain environments. This paper derives the Haar ranking method for the heptagonal fuzzy number. Furthermore, Algorithm for the fuzzy assignment problem with Haar ranking is proposed. To check the soundness of the proposed ranking method, Fuzzy assignment problem in agriculture has been taken to determine the minimum cost for organic fertilizers applied in the field.
The Level of Cognitive Anxiety and Sport Performance among Swimmers

Sports psychologists have long believed that high levels of cognitive anxiety during competition are harmful, worsening performance and even leading to dropout. The instrument used for the study comprised of a 27-item Competitive State Anxiety Inventory–2 and The Psychological Performance Inventory which had been distributed during sport between universities competition. The sample consisted of 69 swimmers, including the national athletes (N=17), state athletes (N=20), district athletes (N=15) and university athletes (N= 17). The results showed that elite or national swimmers exhibited lower levels of cognitive anxiety, F (3, 69) = 15.110, p < . 01. The result also showed that the exits of negative correlation between cognitive anxiety and sport performance among swimmers, (r = -0.73; p<0.05). Sport psychologists, sport counselors and coaches should use the present findings to recommend coping strategies to university and district level athletes that are appropriate for dealing with their athletes’ cognitive anxiety.
Optimisation of Construction Resource Allocation and Levelling Using Genetic Algorithm

Resource allocation and levelling is one of the top challenges in construction project management, due to complex nature of the construction projects.CPM and PERT is most commonly used methods for scheduling of construction projects. However it is not capable of minimising undesirable fluctuations in resource utilisation profile. This research describes a Genetic algorithm approach to resource levelling and allocation in construction industry. The procedure which is used in this paper finds an optimum set of tasks and priorities that generate better-levelled resources profiles using Genetic Algorithm in MATLAB software.
COMPARATIVE ANALYSIS OF VARIOUS IMAGE EDGE DETECTION TECHNIQUES FOR TWO DIMENSIONAL CT SCAN NECK DISC IMAGE

Neck is robot part for human. The robotic platform of the neck bone was surrounded by muscles like steel spring the neck has a significant amount of movement and supports the weight of the head, but it is less protected than the rest of the spine, the neck can be vulnerable to injury and disorders that produce pain and restrict motion. It may result from abnormalities in the soft tissues the muscles, ligaments, and nerves as well as in bones and joints of the spine. The most common causes of neck pain are soft-tissue abnormalities due to injury or prolonged wear and tear. In rare instances, infection or tumours may cause neck pain. Neck pain may feel like a kink, stiffness or severe pain. Pain may spread to the shoulders, upper back or arms or it may cause a headache. Neck movement may be limited, usually more to one side than the other. Neck pain refers to pain anywhere from the area at the base of the skull into the shoulder. It is rare to predict the causes during movement of the neck. In this paper proposes a various edge detection techniques like prewitt, sobel, canny and Roberts methods to compare and analyse the two dimensional CT Scan neck disc image. This analysis will be more helpful to predict the suitable technique for edge detection. This work may be extended to predict the analyse of the neck while driving the car and also software industries employees with continuos exposure with computer.