Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of ageing, endurance exercise and heart failure on cardiac power output

Abstract Ageing is a complex multi-factorial process, which is characterised by a decreased ability of the human body to interact, respond and defend itself against numerous stimuli. As average life span continues to increase, it becomes increasingly important to understand what impact ageing or disease has on physiological functions and the efficacy of interventions such as exercise. Cardiac power output (CPO) is the best indicator of overall cardiac function (Cooke et al., 1998) and can be measured non-invasively at rest (CPOfest) and maximal exertion (CPOmax), enabling the heart's functional reserve (CR) to be calculated. The aims of these studies were to use CPO to measure changes that occurred as a result of healthy ageing, long-term endurance training, and chronic heart failure, and compare these effects in men and women. After further developing the techniques and protocols to measure CPO, seventy healthy men and one-hundred and thirteen women aged nineteen to seventy six years were recruited and studied. Healthy ageing resulted in a 49%, 23% and 22% decrease in V02max, CPOmax and CR respectively in men. In marked contrast, there were no significant age-related changes in CPOmax or CR in healthy women. Forty-two habitually active men and eighteen women were recruited across the same age range. The active men had significantly higher CR (-17%-36%) than age-matched sedentary men. In contrast, the active women showed no increase in CR over the sedentary women. These sex-specific differences in response to ageing and exercise were independent of changes in body size. Abstract The CPOmax and CR of twenty-one male heart failure patients were respectively -57% and -64% below that of the healthy sedentary men.The CPOmax and CR of twenty-one male heart failure patients were respectively -57% and -64% below that of the healthy sedentary men. These results indicate for the first time that healthy ageing has a negative impact on CPO in men which can be attenuated by long-term endurance training, or made worse by heart failure. Importantly, no decrease occurred in CPO in women with ageing, and the cardiac adaptations in response to exercise were also less marked.
Load Balancing In Cloud Computing:A Review

As the IT industry is growing day by day, the need of computing and storage is increasing rapidly. The amount of data exchanged over the network is constantly increasing. Thus the process of this increasing mass of data requires more computer equipment to meet the various needs of the organizations. To better capitalize their investment, the over-equipped organizations open their infrastructures to others by exploiting the Internet and other important technologies such as virtualization by creating a new computing model: the cloud computing. Cloud computing is one of the significant milestones in recent times in the history of computers. The basic concept of cloud computing is to provide a platform for sharing of resources which includes software and infrastructure with the help of virtualization. This paper presents a brief review of cloud computing. The main emphasize of this paper is on the load balancing technique in cloud computing.
A Study of Indian Rural Buying Behaviour for Selected Consumer Durables

The success of brand and product in India is unpredictable because with vast rural market and consumers it is difficult to guess the consumer behavior. Consumer behavior is centre of the modern marketing, understanding his behaviour is quite essential for efficient and effective marketing management. Customers may state their needs, wants but act otherwise. They may not be in touch with their deeper motivations. India’s consumer market is riding the crest of the country’s economic boom. Driven by a young population with access to disposable incomes and easy finance options, the consumer market has been throwing up staggering figures. Marketing problem enhancing from the consumers’ behaviour has a greater degree of similarity behavioral problems relating to the consumer durables. Hence, the present study has been chosen to identify and ascertain the extent of problems of consumer behaviour have an impact on the marketing of consumer durables in the fast growing and a green belt of Satara District. The consumer behaviour in relating to consumer durables is strongly affected by some economic, social, cultural and psychological factors; the present research has been selected for an intensive empirical survey of the various factors influencing the buyer’s behaviour on consumer durables in Satara District of Maharashtra State. We found that Rural consumers have typical buying behavior where they prefer to associate with reference group for purchasing high involvement products.
Development and Validation of First-Derivative Spectrophotometric Method for the Simultaneous Estimation of Lamivudine and Tenofovir disoproxil fumerate in Pure and in Tablet Formulation

This paper describes validated First Derivative Spe ctrophotometric method for the simultaneous estimation of Lamivudine and Tenofovir disoproxil f umerate in pure and in formulation. The solutions of standard and sample were prepared in d istilled water. Quantitative determination of the drugs was performed at 287 nm and at 249 nm (N = 1; ∆λ = 1) for Lamivudine and Tenofovir disoproxil fumerate, respectively. Proposed method was evaluated for the different validation parameters. The specificity test showed that there was no interference from excipients commonly found in the commercial pharmaceutical formulations at the analytical wavelengths of LAM and TDF. Quantification was achieved over the concentra tion range of 5 – 30 μg/ ml for Lamivudine and 10 – 60 μg/ ml for Tenofovir disoproxil fumerate. The mean r ecovery was 100.27 ± 1.2511 and 100.70 ± 1.0604 % for LAM and TDF, respectively . This method is simple, precise, and sensitive and applicable for the simultaneous deter mination of LAM and TDF in pure powder and formulation.
Control of a Modular Multilevel DC/DC Converter for Regenerative Applications

M.Tech. in power electronics, Dept. of EEE, RGMCET, Nandyal, A.P., India ---------------------------------------------------------------------***-------------------------------------------------------------------Abstract In this paper, different cascaded (buck, boost) and multilevel topologies are compared for regenerative applications to interface super capacitors as energy storage device to dc bus. It shows modular multilevel dc/dc converter (MMC) is best in front of cascaded converters in terms of weight and volume reduction of inductance when phase shifting modulation strategy is used. The proposed control method can balance super capacitor voltage by using specific output current. The converter topologies and control methods are verified by simulation results.
A Review on Machine Learning Algorithm Used For Crop Monitoring System in Agriculture

--------------------------------------------------------------------- Abstract - In this paper, we explore the concept of the crop monitoring system . The various machine learning techniques are applied on data sensed from environment through sensors. The data sensed is related to humidity, temperature, sunlight and wind speed which are responsible for causing diseases in crop field. The results obtain by this algorithms are useful for farmers to take decision about disease condition in advance for further implantation in crop monitoring system.
The Effect Of Nasa Liquid Organic Fertilizer Concentration And Planting Distance To Growth And Production Of Beans

Problems encountered in developing the cultivation of beans, the high use of inorganic fertilizer at the farmer level is not appropriate spacing one effort to increase bean production is to use the right spacing and use of liquid organic fertilizer. The purpose of this study was to analize the concentration of liquid Nasa organic fertilizer dosage and the appropriate spacing of plant spacing on the growth and production of beans (Phaseolus vulgaris L). The reseach was conducted Karang Jaya village, Namlea District, Buru Regency, the implementation of the study began from March to May 2019. This study used a Randomized Block Design (RBD) which was arranged in fact from two factors with three replications. The first factor of spacing (J) consists of three levels, namely 20 x 60 cm, 30 x 60 cm and 40 x 60 cm. The second factor is the consentration of liquid organic fertilizer (C) which consists of three levels, namely control( without treatment), 40 ml/liter of water and 50 ml/liter of water. Data of research factors were analyzed by statistical analysis. If there is a real difference the real or very fluid, then continued with the Honest Value Difference Test (BNJ)(0.05). The results showed that the concentration of liquid Nasa organic fertilizer with a dose of 40 ml/liter of water with a spacing of 40x60 cm gives an average value the highest average was observed by tall plants 172.13 cm, number of young pods was 31.69 fruits pod length of 12.50 cm and production of fresh adash
Protecting E-Commerce Systems From Online Fraud

-Due to the advent of Internet technologies, E-commerce widely adapted mode of business in modern times. With the growth of E-commence domain credit card usage has become a common phenomenon. This has given chance to adversaries to commit fraud. In the real world, there were plenty of instances of fraud cases. It has its impact on financial outfits that issue credit cards, the E-commerce business entities and also the customers of the E-commerce applications. To overcome this problem and to build confidence in the stakeholders of the E-commerce many techniques came into existence. As simple pattern matching methods are inadequate to solve the problem many modern techniques came into existence. They are based on Genetic programming, Sequence Alignment, Machine learning, Fuzzy logic, Data mining and Artificial intelligence. These techniques are capable of detecting fraudulent transactions. In this paper we explore various techniques being used. We also build a prototype application which demonstrates the efficiency of Genetic Programming to detect credit card fraud. The empirical results revealed that the proposed solution is effective .
Optimal Power Flow with Facts Devices using Genetic Algorithm

The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, reduces the cost of generation, and improves the stability also improves the load capability of the system. In this paper, a non-traditional optimization technique, genetic algorithm is used to optimize the various process parameters involved of FACTS devices in a power system The various parameter taken into the consideration were the location of the FACTS were their types and their rated value of the device. A genetic algorithm (GA) is simultaneously is used to minimize the total generation cost, and power loss/voltage deviation with in true and reactive power generation limits, Test results on the modified IEEE 30-bus system with various types of the FACTS controller The optimization results clearly indicates that the correct location of the FACTS devices will increase the loadability of the system and GA can be effectively used for this type of optimization.
VIDEO TRACKING SYSTEM

-Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing . Video tracking can be a time consuming process due to the amount of data that is contained in video. Adding further to the complexity is the possible need to use object recognition techniques for tracking over time. However, video needs more space for storage and wider bandwidth for transmission Video tracking is a complex problem because the environment, in which video motion needs to be tracked, is widely varied based on the application and poses several constraints on the design and performance of the tracking system. Current datasets that are used to evaluate and compare video motion tracking algorithms use a cumulative performance measure without thoroughly analyzing the effect of these different constraints imposed by the environment. But it needs to analyze these constraints as parameters. The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios changes.
127-130-Atif Ali

The present study was planned to test the efficacy of Moringa oleifera on undesirable skin sebum secreted by sebaceous glands during winter season i n humans. For this purpose, an extract of Moringa leaves was prepared due to strong antioxidant acti vity. 3% Moringa leaves extract was incorporated in active cream and the base was witho ut extract. The study was conducted during the winter season (October to January). A total of eleven healthy male volunteers with aged 20 to 35 years were contributed to accomplish this sin gle blind study. The active cream and base were applied twice daily to the face (cheeks) for a period of 12 weeks. Also, the antioxidant activity of the plant extract alone and after addition in the creams was assessed using the stable free radical 1, 1-diphenyl-2-picrylhydrazyl (DPPH) assay. The instrumental measurements were carried out with photometric device (Sebumeter) with relative humidity (55–65%). The Moringa oleifera cream significantly reduces undesirable skin sebum during winter season in humans when applied ANOVA and paired t-sample test. Treatment with Moringa oleifera showed reduction of undesirable skin sebum secretions secreted by sebaceous glands during winter season in humans.
International Journal of Advance Research in Computer Science and Management Studies

: Affective text based mining of social emotion deals with new aspect for categorizing the document based on the emotions such as victory, sympathy, love etc In order to predict the emotion contained in content a joint emotion–topic model is proposed by augmenting Latent Drichlet Allocation with an additional layer for emotion modeling. Using this it first generates a set of latent topics from emotions, followed by generating affective terms from each topic. It first generates an emotion from a document-specific emotional distribution, and then generates a latent topic from a Multinominal distribution conditioned on emotions. The proposed model utilizes the complementary advantages of both emotion-term model and topic model and also it includes more websites for creating a large vocabulary. Emotion-topic model allows associating the terms and emotions via topics which is more flexible and has better modeling capability. For each emotion, a meaningful latent topic can be generated effectively and also based on emotions, song recommendation will be available for user with advantage of user uploading and enjoying their own choices also.
Analysis of Near-Far Problem using Power Control Technique for GNSS based Applications

Global Navigation Satellite Systems (GNSS) such as Global Positioning System (GPS), GALILEO and GLONASS need atleast four satellite signals to find out the accurate position. But in some areas, due to the non-availability or blockage of the signals, GNSS alone doesn’t provide the accurate position of the object. Pseudolites (PLs) are ground based transmitters which provide GPS like signals that augment GNSS constellations to enhance the accuracy, integrity, continuity and availability. However, Near-Far effect which reduces the service area is one of the major problems where pseudolites are used. In order to account for such a problem, a step-by-step power control technique has been proposed to enlarge the service area. Simulation results show that the PL with step-by-step power control outperforms much better than conventional PL. The service area using proposed PL resulted in 4 times wider service area than conventional PL. Also, coverage and outage probability are analytically obtained and comparative analysis of coverage probability for conventional and proposed PL has been presented.
Hill-climbing based Virtual Machine Adaptive Fault Tolerance for Online Tasks in Cloud Computing

: although cloud is a new model of computing with a lot of benefits, it has difficult challenges that should be resolved to enhance the performance of cloud environment. The most important from these challenges are related to power consumption, load balancing management, fault tolerance and different security issues. In this research, the essential interest is the cloud computing fault tolerance based on balancing the load. Load balancing is used for distributing the work load among various virtual machines (VMs) of the cloud to prevent from the situation where some of the resources are heavily loaded and others resources are unemployed. There is also a necessity and a growing demand for fault tolerance to fulfill the availability and reliability because the user's services are processed remotely on cloud resources. This scenario may results in more chances of errors and missing control over cloud VMs. The main goal of this research is proposing a hill-climbing scheduling algorithm based on adaptive virtual machine (VM) reliability and load balancing. Experimental results clarifies that the proposed hill-climbing algorithm increases overall performance by reducing the degree of imbalancing between available VMs, and distributes the tasks on the ready VMs based its reliability
SVM BASED CLASSIFICATION USING MRF FEATURES FOR HYPERSPECTRAL IMAGES

: The extraction of land cover information from Satellite Images using Classifiers has been the subject of intense interest and research in the remote sensing community. Classifying the pixels in the Hyper Spectral Images depends on the Feature Extraction and Classifier selection processes. Statistical features such as the mean and standard deviation gives the statistical information of the pixels, while the textural features give the inter-relationship between the grey levels. To find the textural properties of the pixels, Markov Random Field features can be derived using the Markov random Field Models. Markov Random Fields measure the interdependence of neighbouring pixels to produce features. In this paper, neighbouring pixels are taken into account in a priority sequence according to their distance from the centre pixel and a step-by-step least squares method is proposed to extract a novel set of Markov Random Field features. Support Vector Machines (SVM) has recently attracted the attention of the remote sensing community. This project addresses the problem of classification of Hyper Spectral Images by using Support Vector Machines
Parametric Study of Reservoir Parameters on Tracer Tests using Ethanol in a Geothermal Reservoir

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Understanding the connectivity among wells in production and injection area is required for the characterization of a geothermal reservoir. Tracer test is a standard tool for this purpose. However interpretation of tracer data is very difficult due to many parameters affects the tracer return curve. Therefore, most of the interpretation of tracer test is based on qualitative analysis. This paper presents a study to investigate the influence of some reservoir parameters that could affect the tracer flow in the porous medium. Such parameters including porosity, permeability, wet heat conductivity and initial water saturation. TMVOC simulator was used to develop a linear flow of one-dimensional model. Typical rock properties encountered in geothermal reservoirs were applied. This study is able to quantify the effects of some reservoir parameters on the tracer curve. This because we provided details of rock properties as input for the simulator as well as alcohol properties data.
Survey Paper on REMO with Replication

Cloud storage allows users to remotely store their data and get the on-demand high quality cloud applications without the pressure of local hardware and software management. Though the benefits are clear, such a service is also give up users’ physical acquisition of their outsourced data, which unavoidably poses new security risks toward the correctness of the data in cloud. In order to point out this new problem and further acquire a secure and dependable cloud storage service, we put forth in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The put forth design allows users to audit the cloud storage with very less communication and computation cost. The auditing result not only guarantees strong cloud storage correctness guarantee, but also simultaneously acquire fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the put forth design further supports secure and efficient dynamic operations on outsourced data, block modification, deletion, and append. Analysis shows the put forth scheme is highly efficient and resilient against Byzantine attack, malicious data update attack, and even server colluding attacks.
Aids Detection System Using Big Data Analytics

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- The exponential growth of data over the last decade has introduced a new domain in the field of information technology called Big Data. The developing countries like India with huge population face various problems in the field of healthcare with respect to the operating cost, meeting the needs of the reasonably poor people, access to the hospitals, and research in the field of medicine and especially in the time of spreading epidemics. Here, we contain focused on Acquire Immune Deficiency Syndrome (HIV/AIDS) which seems succeed in many women/Children who come to Government Hospital. HIV is a disease which is not simply known. This involves certain tests to be carried out like ELISA, Ora Quick In-Home HIV Test etc. Most of the people do not come onward for HIV test. So, we attempt to develop gives possibility percentage of AIDS in a person using big analytics and Hadoop Cluster.
Selenium-Enriched Agaricus Bisporus Mushroom Regulates Colonic Selenoprotein Expression in Rats Differently Under Thermoneutral and Hyperthermal Stress Conditions

Rats under thermoneutral conditions and fed mushroom-Se in dietary supplementation showed a significant fold increase (P<0.05) in mRNA expression relative to basal treatment (thermoneutral, control diet) of GPx-1 (2.98±0.82), GPx-2 (1.8±1.4), TrxR-1 (1.83±0.64) and SeP (2.77±0.92). Supplementation with α-tocopherol alone affected the expression of GPx-1 (1.83±0.82) and SeP (2.21±0.92). Rats subjected to heat stress and fed the control diet showed significant fold increase (P<0.05) in mRNA expression relative to the basal treatment of GPx-1 (3.15±0.82) and SeP (1.93±0.92). The expression of GPx-2 (3.2±1.4) and SeP (4.23±0.92) in rats fed mushroom-Se and expression of TrxR-1 (4.10±0.64) and SeP (7.44±0.92) in rats fed α-tocopherol alone were higher. Total colonic cellular GPx activity increased 3.8 fold in rats under thermoneutral conditions and fed the mushroom-Se diet compared to basal treatment. Heat stress had a negative impact on the colonic GPx activity which was recovered by mushroom-Se, but not α-tocopherol. *Corresponding Author: Ken Ng,Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia.Tel:+61-3-903-531-41; E-Mail: ngkf@unimelb.edu. au Received Date: June 30, 2015 Accepted Date: October 15, 2015 Published Date: October21, 2015