Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of herbal plant in Rheumatoid Arthritis studies using in silico approach

Arthritis is inflammation or degeneration of joints. There are more than 100 different types of arthritis most common types of inflammatory arthritis include Juvenile rheumatoid arthritis (in children’s), Rheumatoid Arthritis (RA) (in adults), Psoriatic arthritis, gout, osteoarthritis, gonococcal Arthritis, etc. Rheumatoid Arthritis (RA) is an autoimmune disease. It is also a systemic disease which means it affects the whole body. People with Rheumatoid Arthritis (RA) have a higher risk of some other conditions such as heart disease, obesity, depression, anxiety, high blood pressure, diabetes, etc. No one knows the definite cause of this disease, but there is researcher’s evidence that genetics, environmental and stochastic factors are involved. There are various drugs therapies and treatments are available to suppress Rheumatoid Arthritis (RA) and there is a need for an alternative approach to avoid unnecessary side effects and high cost. Therefore, phytochemicals are used which include anti-inflammatory properties. Thus, the present study is aimed for finding phytochemical which is Stigmasterol showing higher binding affinity towards the target receptors those are 4JJ7, 6E28, 5GJH, 4FKL, 4EK4, 3CZF, 5NI9, 4RI5, 5BXU and 5N86 using molecular docking approach to find out potential drug molecule against protein causes inflammation. Tools used for molecular docking were GROMACS 5.1. 1 for protein optimization, AutoDock 4.2. 6 software for docking & Discovery Studio for visualization. Stigmasterol was ranked top among various docking conformations showing highest binding affinity with the target. Therefore it could be an alternative treatment method for rheumatic disorders. Plants like Glycine max (soybean), Physostigma venenosum (calabar bean), Brassica napus (rapeseed) comprise of this phytochemical. Further studies can confirm the usage of these phytochemical and plants for suppressing inflammation via inflammation. Keywords— Rheumatoid Arthritis, TNF cascade, Stigmasterol, Anti-inflammatory, Docking
g-secretase inhibitors for treating Alzheimer’s disease: rationale and clinical data

There are no drugs available for slowing down the rate of deterioration of patients with Alzheimer’s disease (AD). With the aim of altering the natural history of the disease, the pharmaceutical industry has designed and developed several compounds inhibiting g-secretase, the enzymatic complex generating b-amyloid (Ab ) peptides (Ab1–40 and Ab1–42), believed to be involved in the pathophysiological cascade of AD, from amyloid precursor protein (APP). This article briefly reviews the profile of g-secretase inhibitors that have reached the clinic. Studies in both transgenic and nontransgenic animal models of AD have indicated that g-secretase inhibitors, administered by the oral route, are able to lower brain Ab concentrations. However, few data are available on the effects of these compounds on brain Ab deposition after prolonged administration. g-secretase inhibitors may cause abnormalities in the gastrointestinal tract, thymus, spleen, skin, and decrease in lymphocytes and alterations in hair color in experimental animals and in man, effects believed to be associated with the inhibition of the cleavage of Notch, a transmembrane receptor involved in regulating cell-fate decisions. Unfortunately, two large Phase III clinical trials of semagacestat in mild-to-moderate AD patients were prematurely interrupted because of the observation of a detrimental cognitive and functional effect of the drug. The pejorative effects of semagacestat in AD patients may be due to its lack of selectivity on APP processing. The compound could inhibit the processing of one or more substrates of g-secretase important for cognition. It has been also noted that semagacestat causes the accumulation of a neurotoxic peptide (CTFb  or C99) resulting from the block of the g-secretase cleavage activity of APP. New more selective g-secretase inhibitors are being developed with the hope of overcoming these limitations.
CUTANEOUS MANIFESTATIONS IN HIV INFECTION: A CLINICOPATHOLOGICAL STUDY

The first case of Acquired Immunodeficiency Syndrome (AIDS) was reported in Africa. But today India is considered as a new hotbed for this disease. AIDS is caused by a retrovirus human immunodeficiency virus (HIV). Two types of HIV exist: HIV-1 and HIV-2. HIV-1 is more virulent, easily transmitted and is the cause of the majority of HIV infections. On the other hand HIV-2 is less virulent and less transmittable. [1] Skin is commonly affected in the course of HIV infection and in many cases skin findings may the earliest sign of HIV infection. Some are pathognomonic of HIV infection and their presence in a healthy individual mandates HIV investigations. A wide array of dermatological manifestations comprising of bacterial, fungal, viral, and several non-infectious disorders may be evident in HIV infected patient. Most cutaneous complications appear and worsen as disease progresses. The introduction of antiretroviral therapies has declined cutaneous lesions but the severity and spectrum is still present. Our Aim is to study the patterns of Skin lesions in HIV and to correlate this with CD4+ T cell counts. Seropositive HIV patients, patients of all ages and both sexes were included in the study. Seronegative HIV patients were taken as controls. Skin Lesions were sampled by punch biopsy fixed in 10% formalin, processing done and confirmed by histopathology. Skin scrapings were performed in some cases. Total number of HIV positive patients – 188. There were 122 males and 66 females with male: female ratio of 1.8: 1. Number of HIV patients with skin Lesions – 62 (32.98%). There were 48 male s and 18 females with M: F ratio of 2.6: 1. Number of patients who underwent biopsy – 52 (83.87%). Number of Non HIV patients with skin lesions – 1832. We classified cutaneous manifestations into two groups: Infectious and Noninfectious. 51 cases (82.26%) belong to infectious group and remaining 11 cases (17.74%) belong to noninfectious group. Viral infections were the most common lesion encountered in our study in the infectious group. Psoriasis and Contact Dermatitis were common in noninfectious group. Infectious diseases are more common in HIV patients whereas noninfectious diseases were common in Non HIV patients. Molluscum contagiosum is the commonest infectious disease encountered in our study. Genital diseases are also common in HIV and genital Herpes is the commonest genital disease observed in present study. Recognition of cutaneous diseases in HIV helps in early diagnosis and proper management of HIV as well as a measure of the immune status of individual.
EFFICIENT SPECTRUM SENSING AND CHANNEL ALLOCATION FOR COGNITIVE RADIO USING MARKOV MODEL

– Radio spectrum is one of the most scarce and valuable resources for wireless communication. Spectrum sensing is a main technique in cognitive radio networks. Cognitive radio (CR) allows secondary users to temporarily access the unused licensed bands of primary users, thereby improving overall spectrum efficiency. Usually the detected bands are sporadic in nature. This paper proposes an efficient and frequent filling method for the detected free bands using Markov model. This method is based on weight matrix and probabilistic model of user arrival and departure.
ENERGYEFFICIENT TRANSMISSION OF DWT IMAGE OVER OFDM USING BPSK, QPSK AND 16PSK

: Orthogonal Frequency Division Multiplexing (OFDM) is a technique, in which a single high rate data-stream is divided into multiple low rate data-streams which is modulated using sub-carriers, which are orthogonal to each other. In this paper, an image is compressed using DWT, and the compressed data is arranged in four sub bands. These are then packetized and serially mapped to the OFDM system. After receiving the channels at the receiver the bad channel is dropped at the receiver side. MATLAB simulation has been analysed to check the performance of our proposed scheme, for quality of image and energy saving and comparison is done for BPSK, QPSK and
Iris Recognition - An Efficient Biometric For Human Identification and Verification

: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions, and there have been no independent trials of the technology. The work presented in this paper involved developing an ‘open-source’ iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric. For determining the recognition performance of the system one databases of digitized grayscale eye images were used. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template. The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed. The system performed with perfect recognition on a set of 756 eye images; however, tests on another set of 624 images resulted in false accept and false reject rates of 0.005% and 0.238% respectively. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.
PHYSIOLOGICAL TREMOR ESTIMATION USING BANDLIMITED FOURIER LINEAR COMBINER

In robotic assisted surgery accurate cancelation of physiological tremor plays vital role. Tremor is the core cause for human imprecision during microsurgery. Physiological tremor makes some procedures remarkably difficult to perform and this involuntary motion affects the performance of robotic based hand held instruments. The presence of phase delay due to sensing or filtering procedures degrades the performance of human-machine intervention. To conquer the phase delay, multistep prediction can be employed. The paper includes the estimation of tremor by using single step and multistep BMFLC method. The comparative study of the results proved that the multistep BMFLC method for tremor prediction is more efficient.
Analysis of the Attitudes and Beliefs of Pre-School Teachers Towards Teaching Science in Terms of Various Variables

The purpose of this study is to examine the attitudes and beliefs of pre-school teachers towards science teaching in terms of gender, age, seniority and graduation variables. In the study, availability sampling method was used. The study group of the study consists of 127 preschool teachers working in 2014-2015 academic years. As a data collection tool in this study; a questionnaire was used to determine the attitudes and beliefs of pre-school teachers towards science teaching and personal information form was used to determine the demographic characteristics of preschool teachers. For the analysis of the data, the data obtained from the questionnaire have been tabulated and frequency (f) and percent (%) values have been calculated. In addition, an independent t-test was conducted with ANOVA using the SPSS 16 program in order to reveal the relationship between personal information and attitudes and beliefs about science teaching. As a result of the stduy, it was determined that the attitudes and beliefs of the pre-school teachers towards science teaching did not change according to gender and age, and they differed according to seniority and school they had graduated. Keywords: Science Teaching, Attitude And Belief, Preschool Teacher.
Current Understanding on the Beneficial Role of Nutrition in Parkinson’s Disease –An Overview

Various nutritional components belonging to different classes of natural dietary origin display modulatory (protective) properties against age-related neurodegenerative disorders (NDD) such as Parkinson’s disease (PD) and Alzheimer’s disease. These compounds termed as nutraceuticals which have been shown to act at various biochemical and metabolic levels and exhibit different degree of neuroprotective properties. Present review aims to summarize the current status on the modulatory impact of some of the major nutritional compounds on the pathophysiology of PD, the second most common NDD in humans. Primarily, we have examined the data demonstrated in animal models and postulated through epidemiological studies on the compounds/molecules/life style factors which reduce the risk associated with PD and probable mechanism/s through which they elicit neuroprotection. Further we also included some of the conflicting information about the compounds which may enhance the risk associated with PD. Additionally, emphasis is also given about the new approaches to understand the impact of nutrition on the epigenome in relation to the development of NDD with a short note on emerging ideas relating to nutritional genomics.
Serum Ceruloplasmin Levels In Pregnant Women

Pregnancy is a state of altered, but normal, physiologic process. [1] The pregnancy related hepatic and G.I disorders may affect uniquely in pregnancy hence the physician should have safe diagnostic tools which would help in medication. This study was conducted to estimate the levels of serum Ceruloplasmin, and LFT like Total Proteins, Albumin, Globulin, A/G Ratio, Alkaline phosphatase, Alanine amino transferase and Aspartate amino transferase in normal healthy pregnant women and to compare them with normal healthy non pregnant women. The present study was conducted in the Department of Biochemistry, Osmania General Hospital and Medical College, Koti, HyderabadAP. The study was conducted on 85 women {50 Pregnant and 35 Nonpregnant} attending ANC clinic GMH Hyderabad and Area Hospital, Golconda Forte, Hyderabad were divided into 2 groups. The mean value of CP stastistically increases in all cases which is highly significant. The mean value of TP, Globulins and A: G ratio stastistically decreased in all cases which is highly significant. The statistically significant increase in ALP values in all cases, which is highly significant. The statistically significant decrease in ALT values in all cases, which is highly significant. Statistically there is not much change in AST value. As shown by several studies elevation of serum CP and ALP, decrease in TP, Globulins and A: G ratio of the normal pregnant women. The present study suggested the same; this would also indicate Nutritional status of the mother.
Robust approach for spectrum sensing and spectrum allocation using cooperative game theory approach in cognitive radio wireless sensor networks

: A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.
A survey on frequency notching techniques used in UWB antennas

According to federal communication commission (FCC) rules, from 2002 onwards the 3.1 10.6 GHz band is allocated to the ultra wideband (UWB) applications [1]. UWB technology has several advantages like very wide bandwidth of 7.5 GHZ (from 3.1 to 10.6 GHz) compared to many other existing wireless communication standards [4] and low cost, simple RF circuitry, high data rates and low average radiated power [2][3]. UWB applications can coexist with other narrowband communication standards that occupy the same spectrum due to the limitation of power level. But this will causes a severe interference between the UWB systems and narrow band systems. There are some narrow frequency bands that currently allocated various applications such as Wireless Local Area Network(WLAN) bands in the 2.4GHz(2.4–2.484GHz), 5.2GHz (5.15–5.35GHz),and 5.8GHz(5.725–5.825GHz) bands, World Interoperability for Microwave Access (WiMAX) system bands 2.5GHz(2.5–2.69GHz), 3.5GHz (3.4–3.69GHz), and 5.8GHz (5.25–5.825GHz) and X Band for Satellite communication 7.9GHz(7.25-8.395GHz) etc. Therefore, an unwanted interference will be expected from these frequency bands to other adjacent frequencies, now a day’s many systems operate across several frequency bands, requiring a band-notched or band-rejected function. Many methods to accomplish band notch characteristics for UWB antennas are available in literature. In this study, some of these techniques are deliberated. The remnant of this paper is organized as follows. In Section 2 the various techniques for achieving band notch characteristics are reviewed and the in table 1 shows the comparison between the bands notched UWB antennas, section 3 present our conclusion.
Novel Approaches of Targeting Mycobacterium Tuberculosis – Formulation Prospective

Tuberculosis (TB), an inescapable illness of the respiratory framework, is one of the principle challenges in general wellbeing. The spread of multidrug resistance TB [Multidrug-safe (MDR) TB], and the presence of broadly medication safe TB (XDR-TB) posture new difficulties for its avoidance, treatment, and control. Mycobacterium tuberculosis is a troublesome pathogen to battle and the primary line tranquilizes as of now being used are 40–60 years of age. The requirement for new TB medications is earnest, however an ideal opportunity to distinguish, create and at last progress new medication regimens onto the market has been excruciatingly moderate. Then again, the medications as of now in clinical advancement, and the late picks up in learning of the pathogen and the illness itself give us seek after finding new medication targets and new medication leads. The capacity of the pathogen to form into a torpid state is Novel Approaches of Targeting Mycobacterium Tuberculosis – Formulation Prospective Paper ID IJIFR/V4/ E5/ 022 Page No. 6204-6221 Subject Area Pharmaceutics
A QOS Based Prioritized Routing Protocol for Wireless Sensor Network

— Due to vast researches in the field of wireless sensor network (WSN) many routing protocols and scheduling mechanisms have been developed. But the protocols that have a strict constraint on quality of service (QOS) metric are very rare. Scheduling mechanisms must be such that they must cope with the QOS metrics. In many applications of WSNs, different sensor types require different QOSs. This paper proposes a QOS based prioritized forwarding routing mechanism where the sensed data is prioritized based on the requirements, scheduled according to the priority and performance evaluation of the scheme using QOS metrics.
A Calculus for Non Repudiation Protocols

We describe a calculus that is specific to non-repudiation protocols. The calculus uses the correspondence assertion of Woo and Lam, that is, if there is a non-repudiation of receipt there should be a corresponding non-repudiation of origin. The main contribution of this work lies in the way we model input and output and hence captures non-repudiation properties. The calculus is a subset of the Pi calculus. The basic constructs are modified in order to handle properties of non-repudiation. We offer a formal syntax and an operational semantics of the calculus. We show the usefulness of the calculus by describing Zhou optimistic protocol.
Brain Tumor MRI Using Gradient Profile Sharpness

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- The most precious field in digital image processing is diagnosing the internal activities of human body. Brain is one of the critical part in human body. In the current era cancer is a challenging in medical field. Identification of tumor in brain is very difficult. Segmentation is a kind of method in digital image processing used to divide the image into number of parts with specific regions. It is important to notice that resolution is the key factor in identification of tumors. In this paper we proposed efficient modified K-mean clustering along with triangular model for detection of brain tumor. Modified K-mean clustering includes image enhancement for clear detection of tumor using gradient profile sharpness. Further tumor is detected using triangular model.
An Investigation of the Common Characteristics of Entrepreneurs and those Possessing Strategic Thinking in Establishment of Strategic Coalitions

In the present age, entrepreneurs and strategists play a fundamental role in accomplishment of their organizations. A comparison of features possessed by entrepreneurs and strategists indicates that both groups pursue building value, utilization of opportunities, creation of new markets, and, finally, establishment of special advantage for themselves and their customers. The only way whereby an organization is able to achieve its objectives is to enable its strategists to think as practically as possible. Relying on strategic mentalities, i.e., composition, intuition, and creativity, strategists undertake to establish e coherent image out of the organization. Entrepreneurs serve as leverages in hands of an organization’s strategists in the present time. Applying the synergy ensued as a result of their features including risktaking characteristics, creativity, independence, and reward, they equip their organizations, which are, subsequently, enabled to reach at their purposes. The present article uses content analysis methods and mechanisms to establish strategic coalitions among entrepreneurs and strategists in order to materialize the objectives intended by an organization’s entrepreneurs and strategists.