Miracle-dz/UniFAR-FTUs huggingface dataset:
P-Q AND V-FCONTROL OF HYBRID MICROGRID

This paper proposes a method of Maximum Power Point Tracking (MPPT) of solar array and a new control method of transferring this MPPT power to the inverter side ensuring the DC voltage stability by using the concept of Space Vector Modeling (SVM) with the assistance of Particle Swarm Optimization (PSO). This technique obtains stable voltage by giving triggering pulse to output power in the inverter. The dissertation also proposes a new coordinated control method for voltage and frequency regulation as well as active and reactive power control of Hybrid Microgrid with solar PV system and wind mill. The speed control of PMSG is made through Pitch and Yaw control of wind turbine. The control of active and reactive power is made through injecting power from grid by storing excess power when available. The voltage frequency regulation is proposed through regulating power from battery by applying triggering pulse. By the combined action of SVM and frequency regulation, amplitude and phase angle are also controlled in the Microgrid. Through the coordinated control of active and reactive power and Voltage-frequency regulation power reliability can be improved and the synchronization of power is also made possible when connected to distribution utility system. Keywords—Photo Voltaic, MPPT, PSO, SVM, Voltage-Frequency Regulation, DERs.
Effective Analysis of Multimedia Data: a Human Attention Perspective

: The advancement in the technology related to capturing, storage and transmission of data, have made multimedia data like images and videos pervasive today. But proper tools to describe and organize them are still not efficient. These images and videos are mostly targeted to human beings, whereas most of the existing multimedia assessment techniques are lack of subjective efficiency. Thus, more and more researchers are engaged in this filed to provide effective techniques of multimedia data analysis by accommodating user’s perception and cognition. Keeping user’s perception in mind, in this paper human attention-based perspective is discussed for multimedia data analysis. Recent work done in the field of attention, eye tracking, based image and video analysis along with the description of various benchmark datasets are summarized. The paper aims at providing the recent advances in field of user oriented effective multimedia data analysis along with the future directions.
An Evaluation of Spam Detection by Pattern Based and Facial Authentication System by Using Security

— Network Security Consist of the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access. E-mail is the main communication link now a day everyone uses/have mail access all officials company sent on by a mail communication. In this mail communication we will have a spam mails. Spam E-mails/many E-mails consists URL’s to a websites or WebPages leads to virus or hacking. So we already have a method of detecting the spam mails but it won’t detect the entire spam mails. Spamming is the use of Electronic messages to send/receive unsolicited bulk messages especially advertising indiscriminately. Where as in this method we are going to detect the entire spam by email scanning before it read by the users, blocking the domain irrespective of the users E-mail ID, keyword based blocking by monitoring the subjects, manipulating the difference between public and private domain before blocking, password security by bio-metric, Facial Recognition, Fractal detection (face scanning) and recognition is an unique method to identify every human being. We use brute force string match algorithm. It shows the candidate images of face scanning recognition system could be recognized efficiently using inter dependence of pixels arising from facial codes of images.
FPGA Implementation of Efficient Hardware for the Advanced Encryption Standard

 Abstract — We present an efficient hardware architecture design & implementation of Advanced Encryption Standard (AES) – Rijndael cryptosystem. The AES algorithm defined by the National Institute of Standard and Technology (NIST) of United States has been widely accepted. All the cryptographic algorithms developed can be implemented with software or built with pure hardware. However with the help of Field Programmable Gate Arrays (FPGA) we tend to find expeditious solution and which can be easily upgraded to integrateany concordat changes. This contribution investigates the AES encryption and decryption cryptosystem with regard to FPGA and Very High Speed Integrated Circuit Hardware Description language (VHDL). Optimized and Synthesizable VHDL code is developed for the implementation of both 128-bit data encryption and decryption process. Xilinx ISE 10.1 software is used for simulation. Each program is tested with some of the sample vectors provided by NIST and output results are perfect with minimal delay. The synthesis results found from FPGA implementation by Xilinx Synthesis Tool on Virtex II pro kit shows that the computation time for generating the ciphertext by AES with 4 sbox and 2 dual port RAM is 6.922 ns.
Late Presentation of Idiopathic Tympanic Membrane Ossification with External Auditory Canal Stenosis

The external auditory canal (EAC) is formed by lateral cartila­ ginous and medial bony part. The stenosis of EAC is narrowing of the width of the EAC, i.e. either caused by congenital or acquired causes. Myringosclerosis is a condition caused by calcification of tissues in the tympanic membrane and ossi­ fication is a special form of fibrosis due to the long­term, irreversible continued inflammation in the middle ear cleft. We are presenting rare case of idiopathic tympanic membrane ossification with generalized stenosis of EAC in 29­year­old patient.
Implementing and Improvisation of K-means Clustering

---The clustering techniques are the most important part of the data analysis and k-means is the oldest and popular clustering technique used. The paper discusses the traditional K-means algorithm with advantages and disadvantages of it. It also includes researched on enhanced k-means proposed by various authors and it also includes the techniques to improve traditional K-means for better accuracy and efficiency. There are two area of concern for improving K-means; 1) is to select initial centroids and 2) by assigning data points to nearest cluster by using equations for calculating mean and distance between two data points. The time complexity of the proposed K-means technique will be lesser that then the traditional one with increase in accuracy and efficiency.
ROLE OF GHRELIN AND LEPTIN IN REGULATION OF PUBERTY IN ANIMALS: A REVIEW

Lifetime reproductive efficiency of an animal chiefly depends on time of onset of puberty. Hormonal factors play a key role in the onset of puberty. Ghrelin and leptin, being important neuronal signalling factors, are involved in directing the onset of puberty and regulating other reproductive aspects by their action on CNS. Higher plasma concentration of leptin, while lower plasma concentration of ghrelin, have been found to be associated with the early onset of puberty. Present review encompasses detailed aspects of the role of ghrelin and leptin in different species in the regulation of age at puberty and other reproductive aspects.
LONG TERM ADMINISTRATION OF NICOTINE IN ALBINO RAT CEREBELLUM-HISTOPATHOLOGICAL STUDY

1* Research Scholar, Department of Anatomy, Bharath University, Chennai, Tamilnadu, INDIA. 2 Professor and Head, Department of Anatomy, ESIC Medical College & PGIMSR, Chennai, Tamilnadu, INDIA. 3 R & D Director, Centre for Research, Sri Lakshmi Narayana Institute of Medical Sciences, Puducherry, INDIA 4 Professor, Department of Anatomy, Sri Balaji Medical College, Chennai, Tamilnadu, INDIA. 5 Associate professor, Department of Anatomy, Sri Balaji Medical College, Chennai, Tamilnadu, INDIA. Email: loka.anatomy@yahoo.com Received on 15-07-2015 Accepted on 30-07-2015
Analysis of Face Spoof Detection Technique

: The face spoof technique was proposed to identify and detect the spoofed and non-spoofed images. The DWT technique is used to analyze the textual features present within the test images. There is a possibility that some exceptional disturbances are available like geometric disturbances and the artificial texture disturbances. The camera and the illumination subordinates are mostly responsible for such disturbances. A perfect camera with no defects should be used just to notice the difference between the geometric, the illumination and the texture based disturbances. To detect the whether the image is spoofed or non-spoofed already existed technique SVM classifier is used. The SVM based technique is proposed in the previous work for the detection of face spoof. The face spoof detection techniques are based on two steps; the first step is of feature extraction and second is of classification. The Eigen based technique is applied for the feature extraction and SVM classifier is applied for the classification. To improve accuracy of the face spoof detection SVM classifier will be replaced with the KNN classifier.
Effect of long term storage in LN2 on bacterial load and preservability of semen in Murrah bulls

Successful preservation of semen for longer period can be achieved by maintaining the viability of spermatozoa from its collection till its use for insemination. Therefore, we perceived the idea to determine the effect of long term storage of cryopreserved buffalo semen on sperm quality, bacterial load and fertility. Twenty years semen samples (1981-2000) from twenty bulls and the data on conception rates of these bulls were collected from record room at ABRC, ICARNDRI, Karnal. The data was analyzed using least square analysis. The differences in individual motility percent in the semen between estimated initially at the time of freezing and estimates after storage (at the time of evaluation) were 6.49, 14.09, 13.13 and 6.02 percent, respectively. Even after long term storage (up to 20 years) there were little changes in the sperm motility percent. Changes in non-eosinophilic sperm count, sperm abnormalities, HOST and acrosome status, were less up to 20 years storage of semen in liquid nitrogen and the differences were non-significant between different years of storage semen in liquid nitrogen. In similar fashion the microbial load in semen was decreased with the increased storage period of semen in liquid nitrogen, but the differences were non significant. The differences in sperm motility percent between 370C and room temperature were not significant, but the temperature and incubation period significantly (P<0.01) influenced motility percent estimates. Whereas, temperature-incubation period interaction was not found to be significant. The conception rate and sperm motility was highly and positively correlated (r=0.67 and 0.55) with sperm oocyte attachment. It can be concluded that there was little change occurred in semen quality even after twenty years of storage in liquid nitrogen without affecting fertility of semen.
Resource Scheduling and Evaluation of Heuristics with Resource Reservation in Cloud Computing Environment

------------------------------------------------------------------------- ABSTRACT --------------------------------------------------------- The "cloud" is a combination of various hardware and software that work jointly to bring many aspects of computing to the users as an online service. Some uniqueness of Cloud Computing is pay-per-use, elastic capacity, misapprehension of unlimited resources, self-service interface, virtualized resources etc. Various applications running on cloud environment would expect better Quality of Service (QoS) from Cloud environment. Improvement in Quality of Service (QoS) is possible through better job scheduling and reservation of resources in advance for execution of jobs. In this paper effects of Reservation Rate and Time Factor on the performance parameters like Resource Utilization, Waiting Time, Minimum Execution Time and Success Rate of Reserved jobs have been studied for various job scheduling algorithms and their performance have been calculated in resource reservation environment in Cloud.
Key Factors to Avoid Cancellation of Trophectoderm Biopsy for Preimplantation Genetic Screening

This study analyzed 1103 cycles of assisted reproductive technology underdoing either intracytoplasmic sperm injection (ICSI) only or ICSI with preimplantation genetic screening (ICSI+PGS). The primary objective was to find the key factors resulting in cancellation of ICSI+PGS cycles. The embryos were cultured in one step media to the blastocyst stage. The trophectoderm biopsies were performed on day-5 or day-6 and the embryos were vitrified. Upon receiving PGS results and availability of at least one euploid embryo, patients were prepared for frozen embryo transfer. The patients were grouped into ≤35, 36-39, 40-42, 43-46 and 47-48 yrs. Out of 1103 cycles, 826 cycles were in ICSI and 129 in ICSI+PGS group, from which 79 cases were cancelled. The cancellation rate increased with increase in the age category. The key factors for ICSI+PGS cycle cancellation were advanced female age and availability of <5 mature oocytes. Other reasons included poor oocyte quality, increased abnormal fertilization and availability of no motile sperm. The study proposes to optimize ovarian stimulation to retrieve about 15 oocytes per retrieval for a success ICSI+PGS cycle if trophectoderm biopsy is to be performed. In advanced age or poor responders, multiple retrievals may be needed to obtain enough blastocyst for PGS. The study highlights that counseling of patients undergoing ICSI+PGS should include not only success rates with PGS, but also information on the factors that may result in cycle cancellation. Therefore, prior to initiation of treatment it is essential to ensure that the patient has clearly understood the advantages and disadvantages of PGS and is prepared for all possible cycle outcomes.
Power Management of Television system by User State Recognition

Smart Television is one of the smart electronic devices attracting the consumers today. Better user interface is believed to be the prime characteristics of smart devices to as of smart Television. However the ability of a device to analyze its environment is technically the smartness. With the advancement of technologies the power consumption constraints become more important. In today’s television, screen is one of the most consumers of power. Moreover, until the system is switched off, the screen remains active even if the user is not watching. To avoid unnecessary power consumption, the screen shall be dimmed or put to sleep if the user is inactive. This paper presents a power management scheme which automatically recognizes whether the user is watching television or not and makes the screen dim if the user is found inactive for long. This is done by recognizing the user’s state by analyzing the user’s face detected from the image captured by a camera mounted on the television. The user states considered are User-Active and User-Inactive. The resultant screen states are Screen-Active, Screen-Dim and Screen-Sleep.
Neural Dialogue Model with Retrieval Attention for Personalized Response Generation

: With the success of new speech-based human-computer interfaces, there is a great need for effective and friendly dialogue agents that can communicate with people naturally and continuously. However, the lack of personality and consistency is one of critical problems in neural dialogue systems. In this paper, we aim to generate consistent response with fixed profile and background information for building a realistic dialogue system. Based on the encoder-decoder model, we propose a retrieval mechanism to deliver natural and fluent response with proper information from a profile database. Moreover, in order to improve the efficiency of training the dataset related to profile information, we adopt a method of pre-training and adjustment for general dataset and profile dataset. Our model is trained by social dialogue data from Weibo. According to both automatic and human evaluation metrics, the proposed model significantly outperforms standard encoder-decoder model and other improved models on providing the correct profile and high-quality responses.
Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies

RNA life span at single-cell resolution RNA transcripts are an easily accessed representation of gene expression, but we lack a comprehensive view of the life span of RNA within the single cell. Battich et al. developed a method to sequence messenger RNA labeled with 5-ethynyl-uridine (EU) in single cells (scEU-seq), which allows estimation of RNA transcription and degradation rates. When examining intestinal organoid cells, scEU-seq data can be used to discern between transcription and degradation during development, indicating that this method can be applied to better understand the relationship between gene expression and RNA degradation during development. Science, this issue p. 1151 Single-cell studies show how individual cells in heterogeneous populations shape their gene expression dynamics. The regulation of messenger RNA levels in mammalian cells can be achieved by the modulation of synthesis and degradation rates. Metabolic RNA-labeling experiments in bulk have quantified these rates using relatively homogeneous cell populations. However, to determine these rates during complex dynamical processes, for instance during cellular differentiation, single-cell resolution is required. Therefore, we developed a method that simultaneously quantifies metabolically labeled and preexisting unlabeled transcripts in thousands of individual cells. We determined synthesis and degradation rates during the cell cycle and during differentiation of intestinal stem cells, revealing major regulatory strategies. These strategies have distinct consequences for controlling the dynamic range and precision of gene expression. These findings advance our understanding of how individual cells in heterogeneous populations shape their gene expression dynamics.
REG study: Real-life, longitudinal ICS adherence patterns in a UK asthma population

Background: Inhaled corticosteroid (ICS) adherence is often suboptimal. Adherence can be estimated using electronic medical records, but studies seldom consider changes over time or distinguish between ICS persistence (duration of use) and implementation (used versus prescribed). Aim: To better understand real-life ICS adherence patterns and how they vary over time within and between patients. Methods: Records were extracted from the Optimum Patient Care Research Database for patients initiating ICS at an index date (ID). Eligible patients (≥6yrs) had ≥3-yrs9 continuous data (1 baseline; 2 outcome); asthma diagnosed ≥1yr before ID, & ≥2 separate ICS and/or SABA prescriptions in each outcome yr. ICS persistence & implementation were estimated over consecutive 6-month intervals. Treatment episodes (persistent use) were calculated in each interval and implementation (MPR) for each episode then examined longitudinally. Results: 13,922 patients received 112,984 ICS prescriptions over 2yrs. For the subgroup of patients with ≥1 ICS prescription in all intervals (52.1%): median(IQR) treatment episode duration was 148(104)days; mean(±SD) MPR was high in the 0-6mnth interval (89.02±0.24%) and decreased on average 0.89±0.08% over the successive intervals, and substantial intra- & interpersonal MPR variance was found (64% & 36%, respectively). Conclusions: Defining ICS adherence as implementation during treatment episodes accounts for non-persistence and results in higher MPRs than typically reported. Consideration must be given to the appropriate definition of adherence when designing adherence studies. The variation in MPR detected over time may allow causal modelling of adherence determinants and effects.
PCSK9 Inhibitors or Cardiovascular Disease Inhibitors

Cardiovascular disease (CVD) is well documented as the leading cause of adult mortality and morbidity worldwide and it remains a substantial public health issue with enormous financial impact to global economy. Statins remain the cornerstone of lipid management for both primary and secondary prevention of CVD. A variety of other lipid modifying therapies are available which can be added to statin therapy to further reduce CV risk. Nowadays, PCSK9 inhibitors (evolocumab and alirocumab recently approved) appear promising agents with multiple trials demonstrating that these agents -in combination with statins or monotherapycan modify lipids substantially with an unprecedented optimal safety profile. Several large PCSK9 inhibitor clinical outcomes trials (ODYSSEY-OUTCOMES, FOURIER and the SPIRE-I and II trials) are currently ongoing, which should elucidate their place in clinical practice. However, it remains non negotiable that keeping CVD therapy affordable necessitates restricted use of PCSK9 antibodies to select patient groups such as Familial Hypercholesterolemia (FH), statin intolerance and very high CVD risk with residual LDL burden, [1] until those currently ongoing outcome trials and future randomized survival trials elucidate the high rank place of these inhibitors in our cardiovascular armamentarium. Abbreviations: CVD: Cardiovascular Disease; FH: Familial Hypercholesterolemia; MR: Mendelian Randomisation; MoAbs: Monoclonal Antibodies; RNAi: RNA Interference; PCSK9: Proprotein Convertase Subtilisin/Kexin Type 9; LDL-C Low Density Lipoprotein Cholesterol; GAUSS: Goal Achievement After Utilizing an Anti-PCSK9 Antibody in Statin Intolerant Subjects; DESCARTES: Durable Effect of PCSK9 Antibody Compared with Placebo Study; RUTHERFORD-2: Reduction of LDL-C with PCSK9 Inhibition in Heterozygous Familial Hypercholesterolemia Disorder; OSLER: Open-Label Study of Long-Term Evaluation Against LDL-C; SPIRE: Studies of PCSK9 Inhibition and the Reduction of Vascular Events
Highly Reliable Radiation Hardened Memory Cell for FINFET Technology

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The need for low power circuit is well known because of their extensive use in the electronic portable equipments. The scaling of CMOS devices to nanometer regime results in increased process variations, increased leakage current and short channel effects which not only affect the reliability of the device but also performance expectations. FINFET is expected to replace conventional MOSFETs for integrated memory applications due to its better resistant to some of the sources of intrinsic parameter fluctuations. The 6T/8T SRAM cell was designed in 32nm FINFET technology. It provides better power and PDP compared to MOSFET. But it cannot withstand in soft errors. Hence low power and highly reliable radiation hardened SRAM memory cell (RHM) using 12T &14T is proposed to provide enough immunity against single event upsets (SEUs) in 32nm FINFET technology. The proposed cell can not only tolerate upset at its any sensitive node regardless of upset polarity and strength, but also recover from multiple-node upset induced by charge sharing on the fixed nodes independent of the stored value. Moreover, the proposed cell has comparable or lower overheads in terms of static power, area and access time compared with previous radiation hardened memory cells.