Miracle-dz/UniFAR-FTUs huggingface dataset:
PAX5/BSAP Transactivates RAG-mediated Immunoglobulin Gene Recombination

Generation of diversified immunoglobulin (Ig) and T cell receptor (TCR) repertoires through V(D)J recombination is the foundation of adaptive immunity. For immunoglobulin heavy chain (IgH) gene, the step of VH to DJH rearrangement occurs exclusively in B lineage cells. Accumulating studies indicate that Pax5 (BSAP), a B lineage specific transcription factor, plays an important role in the regulation of B lineage specific VH to DJH recombination. In Pax5-/- mice, the recombination of upstream VH558 genes is severely impeded. Conversely, ectopic expression of Pax5 transgenes in early thymocytes initiates VH7183 to DJH recombination. Pax5 is essential for IgH locus contraction and histone hypo-methylation across the IgH locus prior to V(D)J recombination. We found that Pax5 associates with the VH gene coding regions and interacts with the RAG1 and RAG2 protein complexes to enhance RAG-mediated VH to DJH recombination. Based on our results, we proposed a novel experimental model that Pax5 directly transactivates RAG-mediated VH to DJH recombination.
ETHOSOMES: UNIQUE ELASTIC VESICULAR CARRIER – AN OVERVIEW

Ethosomes are phospholipid-based elastic vesicles which have a potential as novel topical and transdermal drug delivery systems. They are ethanolic phospholipids vesicles which can act as carriers for various medicaments. Ethosomes have gained importance in the area of research, because of their intensified skin permeation, better delivery of drug and increased drug entrapment efficiency. These systems are more efficient in delivering substances to the skin because of the presence of ethanol, which provides a net negative charge on the surface, which helps to avoid aggregation of vesicles due to electrostatic repulsion than either conventional liposomes or hydroalcoholic solutions in terms of quantity and depth. Ethosomes are simple to prepare and safe to use. This review attempts to compile the various aspects like mechanism of action, methods of preparation (Hot method, Cold Method, Dispersion method using rotary evaporator) ,advantages, limitations, characterization, applications in different conditions like Antiinflammatory, Arthritis, Acne, Fungal infections, Bronchial asthma, chronic bronchitis, emphysema, Diabetic condition, Scleroderma, systemic lupus erythematosus and psoriasis, etc of reported ethosomal formulations for topical and transdermal use. Also, the patented literature has been tabulated. INTRODUCTION: The main disadvantage of transdermal drug delivery is the poor penetration of most compounds into the human skin. The main barrier of the skin is the uppermost layer; the stratum corneum (SC). Several approaches have been reported to improve the penetration through the skin. One of the approaches is the use of vesicular systems like Ethosomes and Liposomes. Ethosomes: Ethosomes are phospholipid-based elastic vesicles containing 20–45% ethanol and water 1 . For the preparation of elastic vesicles; ethanol is a proven permeation enhancer that has been added in the vesicular systems. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.6(10). 4129-36 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.6(10). 4129-36 High flexibility imparted by ethanol of vesicular membranes permits the elastic vesicles to squeeze themselves through the pores. The proposed mechanism of penetration enhancement with the ethosomal system suggests the intercalation of ethanol into the polar head group environment resulting in increased membrane permeability. With respect to stability, Ethosomes have been reported to be more stable than liposomes because of the presence of ethanol, which provides a net negative charge on the surface 2 , which helps to avoid aggregation of vesicles due to electrostatic repulsion. Topically applied ethosomes can increase the residence time of active ingredients in the stratum corneum, epidermis and reduce the systemic absorption of drugs. These properties allow Ethosomes to permeate easily into the deeper layers of the skin. Advantages and Limitations of Ethosomes: Advantages of ethosomes as a product include; ease of manufacture, high patient compliance,
Expression of Caspase-9 as Diagnostic Value of Undifferentiated Nasopharyngeal Carcinoma (Type 3) Stage IV

Apoptosis is regulated by caspase-9 as an initiator, and caspase-3 as an executor, via an intrinsic pathway which can be used as diagnostic indicator. This study aimed to observe the expression of caspase-9 in undifferentiated nasopharyngeal carcinoma stage IV as a molecular marker. This was non-experimental, analytical, observational, quantitative study with crosssectional approach. A biopsy was performed on patients of undifferentiated nasopharyngeal carcinoma. Patients were classified according to histopathology and clinical stage that refers to UICC. Expression of caspase-9 was measured with the immunohistochemical assay and further analyzed statistically. From 24 subjects, there were 12 subjects diagnosed as undifferentiated nasopharyngeal carcinoma stage IV. Receiving operating curve (ROC) of caspase-9 was between 50 % and 100 %. Value of AUC from ROC was 75.3 % (95 % IK 55.6 % 95.1 %) p = 0.035. Expression of caspase-9 as an indicator of undifferentiated nasopharyngeal carcinoma stage IV was less than 2.294 with a sensitivity of 66.7 % and specificity of 66.7 %.
A Review on GPU Based Parallel Computing for NP Problems

- Now a days there are different number of optimization problems are present. Which are NP problems to solve this problems parallel metaheuristic algorithm are required. Graph theories are most commonly studied combinational problems. In this paper providing the new move towards solve this combinational problem with GPU based parallel computing using CUDA architecture. Comparing those problem with relevant to the transfer rate, effective memory utilization and speedup etc. to acquire the paramount possible solution. By applying the different algorithms on the optimization problem to catch the efficient memory exploitation, synchronized execution, saving time and increasing speedup of execution. Due to this the speedup factor is enhance and get the best optimal solution.
Voice Activity Detection in the Speech Signal

Voice activity detection (VAD) is used as a pre-processing step for speech enhancement, speech recognition, and speech transmission. VAD is described as the issue of differentiating speech from noise or silence. The variety and the varying nature of background noise and speech make it exclusively a challenging task. In the previous few years, many features indicating the differences between speech and noise have been proposed for their robustness. In this paper, a comparative study has been implemented to classify various VAD methods to get a clear idea of the better VAD method
Detection of Broken Rotor Bar Fault of Three Phase Induction Motor by Fast Fourier Transform Using ARM Microcontroller

Induction machines are the backbones of many industrial processes due to its robustness and reliability. Condition monitoring of induction motors is the process of monitoring the behavior of motor before significant change which leads to developing fault. Online fault diagnostics of induction motor is important, and its real function is to attempt to recognize the development of faults at an early stage, which are highly useful preventive rescue especially in high power applications. Researches reveal that motor currents and/or voltages signals are always modulated by fault condition inside the motor. Using different signal processing and mathematics techniques, these signals can be analyzed, interpreted and faults inside the motor can be identified. It is observed that the fault frequencies for different faults of induction motor are unique. MCSA (Motor Current Signature Analysis) technique using FFT (Fast Fourier Transform) approach is utilized in this research work to identify broken rotor bar fault of induction motor under different loading conditions. Hence in this paper RISC (Reduced Instruction Set Computing) based ARM (Advanced RISC Machine) architecture controller (LPC2148 from NXP) for current signature analysis is developed to analyze the broken rotor bar fault. An experimental setup, using the ARM based data acquisition board and PC based analysis software is also developed and results are given for multiple broken rotor bars fault.
A randomized controlled trial of the effects of guided imagery on blood pressure in hypertensive pregnant women.

ii LIST OF TABLES . xi LIST OF FIGURES . xii LIST OF APPENDICES. xiii CHAPTER 1: INTRODUCTION AND PROBLEM STATEMENT . 1 CHAPTER 2: REVIEW OF LITERATURE . 6 PHYSIOLOGY OF BLOOD PRESSURE CONTROL . 6 HYPERTENSION IN PREGNANCY . 8 Pre-eclampsia /Eclampsia . 9 Gestational Hypertension . 11 Chronic Hypertension . 11 Blood Pressure Elevation in Pregnancy and Maternal Stress . 12 Management of Hypertension in Pregnancy . 16 Reduced Physical Activity, Bed Rest and Hospitalization . 16 Anti-hypertensive Medication . 17 MIND-BODY COMMUNICATION, PSYCHOPHYSIOLOGIC THERAPIES, AND BLOOD PRESSURE.18 Psychological Antihypertensive Therapy in Pregnancy . 20 Guided Imagery as Clinical Intervention . 22 Guided Imagery Defined . 22 Guided Imagery Effects on Blood Pressure . 24 Guided Imagery and Anxiety . 27
A Review on Secure Data Sharing in Cloud Computing Environment

-- Data sharing in the cloud is a technique that allows users to conveniently access data over the cloud. The data owner outsources their data in the cloud due to cost reduction and the great conveniences provided by cloud services. Data owner is not able to control over their data, because cloud service provider is a third party provider. The main crisis with data sharing in the cloud is the privacy and security issues. Various techniques are available to support user privacy and secure data sharing. This paper focus on various schemes to deal with secure data sharing such as Data sharing with forward security, secure data sharing for dynamic groups, Attribute based data sharing, encrypted data sharing and Shared Authority Based Privacy-Preserving Authentication Protocol for access control of outsourced data.
Intelligent Agents for the Semantic Adaptive e-Learning System

The success of Web technology has built e-Learning a common success way of education and training. To provide online automatic adaptive learning content , this paper suggest a framework for building such learning management system based upon MAS( Multi Agent System) , Semantic web ontology and learners preference knowledge base for content resource organization , sequencing (learning path) and adaptation. This system has been built upon a famous learning management system called MOODLE and it facilitates and demonstrates the simulation in a real time teaching learning process. The result also show that the proposed e-Learning system has the highest possibility of score / rank gain in the selection of learning object retrieval technique
Study on Exploration and Evaluation of Novel phyto components Targeting DPP-4 Enzyme in the treatment of type-1 diabetes by Molecular Docking Analysis

It is currently estimated that number of people with diabetes in India will reach 80 million by the year 2025. The incidence of T1DM especially in the young and active population is having negative impact in the economic upgrowth of India and is hence a serious problem requiring immediate solution.T1DM is chronic pathological condition in which the pancrease is unable to secrete sufficient insulin. It is characterized by the failure of tissues to respond to a normal concentration of glucose available in the blood, resulting in reduced glucose intake into the peripheral tissue. It was evident through recent research that selective inhibition of the enzyme Dipeptidyl peptidase 4 (DPP-4) in insulinresistant skeletal muscle causes improvements in insulin-stimulated glucose transport activity. Based on the literature survey about 23 biologically active phytocomponents were selected for DPP-4 enzyme inhibition analysis by molecular docking study. The activities of each component were compared with known DPP-4 inhibitor known as sitagliptin. Results of the present investigation clearly indicates that the compound Diosgenin ranked 1st with 8 potential interactions. Compounds Asarinine, Genistein and Sitagliptine ranked 2nd with 7 potential interactions. Compounds Cinamaldehyde and Stigmasterol ranked 3rd with 6 potential interactions. Compounds Gingerol and Aloeresin ranked 4th with 5 potential interactions. Compounds beat sitosterol , curcumin and Campesterol ranked 5th with 4 potential interactions. From the result analysis it was concluded that DPP-4 inhibitors are the new class of therapeutic agent which effective in treating T1DM. The greater advantage of using these herbal lead with DPP-4 inhibition potential lies in its multiple mode of action on increasing insulin release and also has wide margin of safety.
ESSENTIAL OILS AND METHYLGLYOXAL: A POSSIBLE ALTERNATIVE TREATMENT FOR ANTIBIOTIC RESISTANT BACTERIAL INFECTIONS

Objective: Essential oils are of significant interest in today’s world of healthcare because these compounds have a variety of medicinal properties. In this study, we evaluated the in vitro antibiotic role of essential oils as a possible alternative treatment in combatting Methicillin-resistant Staphylococcus aureus (MRSA). Methods: In conjunction with carrier oils, three essential oils (cassia, cinnamon bark, and thyme), as well as methylglyoxal were tested on MRSA using the Kirby-Bauer disc diffusion method. Results: The minimum inhibitory concentration of each tested essential oil and methylglyoxal in carrier oil was determined to be 25% essential oil and 75% carrier oil mixture. This concentration worked much more effectively than the standard antibiotic, vancomycin, which is currently used to treat MRSA infections. Conclusion: Antibacterial emollients made from naturally occurring products like essential oils can be cost-effective alternatives to antibiotics. The results of this research show that these emollients are more effective against MRSA than standard antibiotics in cell culture.
A Study of various factors, which influence in decision making of customer & impact of word of mouth Marketing with respect to restaurants

The changing trend and lifestyle today such as more women entering the workforce, extended Working hour, increasing household income and busier daily schedule had led the consumer to Eating out. This was fulfilling their need to have meal outside by choosing convenience alternative. The emergence of plenty restaurants in the country has leads the entrepreneurs to compete each other to ensure sustainability in their business margin. Therefore, this study was conducted to identify and understand the factors that influence consumer in choosing restaurant in Bangalore. The study also investigates consumer preference and attitude toward halal status that influence consumer need in choosing restaurant.The present study examines the decision making process in respect of restaurant services in Bangalore. The study aims to augment the understanding about preferences of selected cross-sections of consumers regarding restaurants and differences within the selected cross-section. The study utilized a self-administered questionnaire to a convenience sample of 100 respondents. The findings of the study suggest how consumers from selected cross-sections evaluate intrinsic and extrinsic because while evaluating a restaurant. It finally presents the implications for researchers and managers of Bangalore restaurants.
The impact of technology on social change: a sociological perspective

This conceptual paper presents the position that the primary changes in human history are the four social revolutions (domestication, agriculture, industrialization, and information), the change from Gemeinschaft to Gesellschaft types of societies, capitalism and industrialization, modernization and global stratification. Ethnic conflicts and social movements indicate cutting edges of social change. Sociological approaches such as William Ogburn’s theory of social change, which asserts that technology is the basic cause of social change are fully explored and applied in this discourse. A great deal of effort is made in this paper to identify the many and varied existing forms of technology and the effects changed technology has on society and culture. The major characteristic of traditional and modern societies are also brought to the lime light in a bid to show the major cultural changes that have occurred or are occurring in society. It is these socio-cultural changes from traditional to modern types of society that Ferdinand Tonnies (1988) refers to as changes from Gemeinschaft to Gesellschaft respectively. In discussing how technology changes society, the major thesis is that because technology is the organizing force for social life, when it changes, its effects can be profound. The computer, for example is changing the way people practise medicine, learn, work and how they relate or even think. The information superhighway is likely to perpetuate social inequalities at both national and global levels. The article also avers that besides technology, capitalism and modernization, theories such as the conflict and evolutionary help sociologists to account for the phenomena of social changea shift in the characteristics of culture and Society. It is important to point out that this paper is embedded in a Western understanding of technologies and its impact on society.
Physiological, Hormonal and Histological Effects of Fennel seeds (Foeniculum vulgare)on Thyroid and Testes in Male Rats

In various parts of the world Fennel seeds Foeniculum vulgare is used as a herbal medicine. The present study aims to shed light on fennel’s side effects in male rats on the weights , hormonal, histological changes and some of the physiological parameters of thyroid and testes. 60 Spargue-Dawley albino adult male rats were daily fed with fennel pellet in three different doses (50, 100, 200)gm/kg bw in three different periods of time (10, 20, 30) days. They were divided into 12 groups each of five rats, as following : (Group 1, 2, 3) normal control rats that were fed with chow pellet only for (10, 20, 30) days subsequently, (Group 4, 5, 6) experimental treated groups that respectively received fennel pellet in three doses of (50, 100, 200) gm/kg for 10 days, (Group 7, 8, 9) experimental treated groups that respectively received fennel pellet in three doses of (50, 100, 200) gm/kg for 20 days, (Group 10, 11, 12) experimental treated groups that respectively received fennel pellet in three doses of (50, 100, 200) gm/kg for 30 days. The end of each experiment was followed by weighing the animals, blood sample of each animal was collected by heart puncture then directly centrifuged and the serum was kept at -80 o C for hormonal, biochemical analysis and some histological standards, the animals were dissected, then thyroid and testes were excised and fixed in neutral buffered 10% formalin for histological preparation. Increased doses of fennel consumption and treatment duration statistically caused:  Highly significant increase (p<0.01) in thyroid weights in experimental treated groups (7, 8, 9, 10, 11, 12) while group (5 and 6) showed significant increase (p<0.05) compared to the control group.  No changes illustrated in values of Thyroid stimulating hormone(TSH) in all periods of time and in all concentrations of fennel in comparison with the control group.  Significant (p<0.05) decrease in Triiodothyronine(T3) and Thyroxine(T4) hormone serum levels in treated groups (7,8,9,10,11,12) compared to the control group.  Significant (p<0.05) decrease in both left and right testes weights of fennel treated group (12) in comparison with the control group.  Significant (p<0.05) decrease in Testosterone serum levels of fennel treated groups (8,9,10,11,12) compared to the control groups with the increase of fennel doses and treatment duration.  Histological study of the organs demonstrated histological changes after an exposure to fennel for short and long periods of time and in all concentrations.  Thyroid gland sections showed certain follicles empty from colloid, degenerated follicles and necrosis. International Journal of ChemTech Research CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555 Vol.10 No.9, pp 373-387, 2017 Noori Mohammed Luaibi /International Journal of ChemTech Research, 2017,10(9): 373-387. 374  Testes sections showed seminiferous tubules with certain degeneration and necrosis of spermatogonia cells besides necrotic debris inside the lumen, no sperms appear inside the lumen.
An Inventory Model based on Manufacturer-Direct Business Model with the help of E-Commerce Trading

The significance of inventory management partake in the rapid growth and development of all organizations. Inventories impacts sales and revenues, customer relations, production and operation costs etc. On the other hand, online shopping became a trendy choice among the web-users, they can buy any product either through online market places or over web stores. The main intention of this paper is to develop an inventory model based on 'Manufacturer-direct' business model with the help of e-commerce trading strategies. Also this proposed model considered the process of recycling and disposal of deteriorating items over 3R approach . In order to maximize the profits and to minimize the waste generation, this model provides optimum values. Numerical examples are illustrated to validate the model.
Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

— The classical fuzzy system model method kindly assumed data which is generated from single task. This data can be acquired from the perspective of multiple task the modeling has on intrinsic inconsistency. In this project , a multiple fuzzy system modeling method by mining interact common hidden structure is propose to overcome the weakness of classical TSK-based fuzzy modeling method system for multitask learning. When the classical fuzzy modeling method are applied to multitask datasets, they usually focus on the task independence information and the ignore the correlation between different task. Here we mine the common hidden structure among multiple tasks to realize multitask TSK fuzzy system learning it makes good used of the independence information of each task and correlation information captured by common hidden structure among all tasks as well. Thus, the proposed learning algorithm can effectively improve both the generalization and fitting performance of the learned fuzzy system for each task . Our experiment result demonstrate at the proposed MTCS-TSK_FS has better modeling performance and adaptability than the existing TSK based fuzzy modeling method on multitask datasets. Learning multiple tasks across different datasets is a challenging problem since the feature space may not be the same for different tasks. The data can be any type or the datasets. The data can be any type or the datasets are any type like text datasets.