Miracle-dz/UniFAR-FTUs huggingface dataset:
Congestion Aware and Control routing in Mobile Ad-hoc Networks: Current State of the Art

—With the increase of multimedia traffic over the past few years and traffic differentiation introduced by IEEE 802.11e, nodes with packet loss, delay-sensitive multimedia traffic tend to be busy for long periods, thus exacerbating the congestion problem in mobile ad hoc networks (MANETs). In this paper, we first expose that the performance of MANETs routing protocols is highly dependent on the type of traffic generated or routed by intermediate nodes and also recent inventions and updates in congestion aware and control routing in mobile ad hoc networks.
THROUGHPUT MAXIMIZATION IN COGNITIVE RADIO NETWORK BY SPECTRUM SHARING

: The next generation communication employ cognitive radio network an assuring technology which enables the secondary users (SUs) to use the free spectrum bands which are licensed originally to the primary users (PUs) without inducing interference and deploy the spectrum well planned . This cognitive radio aims to investigate Carrier Frequency Offset (CFO) and Sampling Frequency Offset (SFO) estimation problems in distributed OFDM systems. Spectrum sharing should be carried out frequently in order to transmit the data successfully through secondary users without causing significant interference with the primary users and to achieve the maximum throughput. In this paper we address the synchronization problem in spectrum sharing scenario and propose a block type pilot based synchronization algorithm to suppress the CFO and SFO mismatch. The pilot pattern used here is CAZAC (Constant Amplitude Zero Autocorrelation) sequence. Simulation results show the proposed method can significantly improve throughput performance when synchronization errors vary.
Kinesio® Tex Tape: Valuable Conservative Treatment for Plantar Fasciitis?

Purpose: To determine if Kinesio Taping® as a therapeutic intervention will decrease plantar pain and improve functional outcomes in individuals with plantar fasciitis (PF). Methods: 10 (7 F/3 M; mean age 40.3 years old) subjects reported for three sessions: baseline measurements, after 1 week of taping application, and after 3 weeks of taping application. At each session, the following data were collected: 1) Musculoskeletal Ultrasound (MSK US) imaging of plantar fascia thickness via a long-axis scan at the insertion of the calcaneus; 2) Numerical Pain Rating Scale (NPRS); and 3) Foot and Ankle Ability Measure Scores (FAAM). At the initial session, patients were instructed on Kinesio Taping® protocol and supplied with enough product for daily re-application throughout the study. A 1-way ANOVA was used to compare the outcome measures from the three visits. Results: There was a trend towards significant decrease in thickness between the baseline and final measures (P=0.063). This study also revealed a significant and clinically meaningful decrease in NPRS scores (MCID=2) from baseline measurement to week 3 (P=0.031). No significant changes in FAAM scores for the ADL (P=0.639) or Sports (P=0.107) subscales were revealed over the treatment period. Conclusion: Kinesio Taping® may be considered an effective, conservative, and practical intervention in the treatment of plantar fasciitis for short-term pain relief when used with the exercise protocol. However a larger sample sized study with a control group is needed to warrant these results.
Synthesis of Coenzyme Q 10 Suryachandra Rao Ravada , Lakshma Reddy Emani , Machi Raju Garaga , Bharani Meka and Trimurtulu Golakoti

Problem statement: CoQ10 is a key compound in ATP synthesis having wide num ber of health application especially for treating humans s uffering from pathophysiological condition. The CoQ10 presently available in the market is solely derived from fermentation process. A commercially viable synthetic process is yet to be realized. Approach: The researchers described a new synthetic route for the preparation of CoQ 10 (1). This new process utilized inexpensive isopren ol as a precursor for the synthesis of an early intermediate with a s ingle isoprene unit. Another key step was the selective oxidation of trans methyl of isoprene uni t as a prelude to the expansion of the side chain t o decaprenyl group using solanesol. Results: Prenylation of 2, 3-dimethoxy-5-methylhydroquinone using isoprenol in presence of a Lewis acid, follow ed by selective oxidation of trans methyl group of isoprenyl side chain and subsequent allylic bromina tio yielded a bromide precursor (7). The ptoluenesulfination of the bromide followed by coupl ing with solanesyl bromide and de-ptoluenesulfination yielded dimethyl derivative of t he CoQ10-quinol. Finally CAN oxidation of dimethyl quinol followed by purification yielded CoQ 10 in 13% overall yield. Conclusion: The present process achieved CoQ10 starting from a relatively inexpensive precursor. F urther improvement in the coupling reaction between 8 and solanesyl bromide may lead t o better and viable synthetic process.
Forms and Boundaries of Art with Aesthetic Cognition in Art Therapy

The point of departure for this essay is two assumptions, the first is that art has no boundaries and brings out aesthetic cognition of all kinds of feelings and thoughts the second is that art as therapy is a brain training modality which is envisaged to frame brains. This brief report discusses the significance of art, art therapy, and the forms, which was developed from theory and research works of several fields (e.g., Art, Art therapy, Psychotherapy, Philosophy, religious and cultural fields etc.). A treatment of scholars, who have exerted on the brain, art, forms and boundaries, including Dissanayake, Coomaraswamy, Stella kramrisch, Shaun Mcniff, Judith Rubin, Zeki and others, is furnished to support the theoretical understanding. The main objective of this article is to provide (1) a viewpoint on art, forms and boundaries, to convey the difference between art piece, artwork and art, thereby; a sincere attempt is made to ascertain that art is knowledge of creating process, which has no forms or boundaries; and (2) to emphasize on art as therapy. Act of involving in the art process set off the subconscious mind towards greater awareness and realization, which is therapeutic by itself. Unfortunately, though we have copious evidence on the benefits of art, art therapy display predilection towards psychotherapeutic benefits. Art as therapy trains the mind to be stabilized and prevent the animal instinct or undesirable attitudes and problems that may otherwise arise. Thereby, suppressing the negative emotions; keeps the mind and body in control and avoids seeking external help.
UTILIZATION OF PRE-

The project is to be carried out with Pre aerated Sludge in Activated Sludge Process to observe the effect of Pre wastewater. The experimental process involves the conventi which microorganisms are kept in suspension by mixing and aerating the wastewater. The study conducted by following two methods: 1) utilizing non pre sludge. In the firs sludge is filled in the aeration tank and supplied for regular intervals of 30, 60, 90, 120 minutes respectively and aeration and at regular intervals. In the second method the dairy wastewater measuring five liters and 400 ml of pre aerated sludge (with 20, 40 and 60 minutes pre tank was collected before aeration and at regular intervals. The sludge Testing of different parameters like BOD, COD, Phosphate, Nitrate and Mixed suspended solids without pre sludge, the concentrations of various parameter when compared with the values of concentration without using pre that removal of various parameters from wastewater is effective up to the optimum period for pre aeration beyond this period removal of various parameters from wastewater will not be effective.
To study O’Sullivan results in relation to baseline variables

Introduction: Aim of study is to test O’Sullivan test for screening of GDM as per “National guidelines for diagnosis and management of GDM" and to study the association between high risk factors and occurance of abnormal O’Sullivan results. Materials and Methods: 75 gm of oral glucose ingestion by pregnant women at the time of registration irrespective of fasting status (O’Sullivan test) and measuring blood sugar level after 2 hours. Results: Total 500 subjects were divided into various groups with respect to their baseline variables e.g. Age group, parity, BMI, history of adverse event in previous pregnancy, mean arterial pressure, family history of DM. , 57.15% subjects with age >30 years, 46.3% multipara, 4.9% with BMI >30, 14.4% with adverse event in previous pregnancy, 7.3% with MAP >90 mmHg and 2.5% subjects with family history of DM had abnormal O’Sullivan test results and high risk factors were present in only 4.8% subjects with normal O’Sullivan results as compared to 30.5% subjects with abnormal O’Sullivan results. Conclusion: More abnormal O’Sullivan results were found in pregnant women age >30 years, BMI >30, positive history of adverse event in previous pregnancy, MAP > 90 mmHg, and Presence of family history of DM. Universal screening of all pregnant women is justified regardless of high risk factors.
Optimization of BH medium for efficient Biodegradation of Benzene, Toluene and Xylene by a Bacillus cereus

Nowadays Petroleum based products are the major source of energy for industry and daily life. The following potential sources for spills or releases of crude oil and its products to the soil; Exploration, production, storage, refining and transportation etc.,. These spills or release may be occurred by accident or due to human activities is a main cause of water and soil pollution. The oil polluted soil is a serious problem in both developed and developing countries (Anupama et al., 2009). Soil contamination with hydrocarbons causes extensive damage to the animals and plant (Guru et al., 2013). Benzene, Toluene and Xylene are major aromatic hydrocarbon compounds in many petroleum products and threat to health and the environment (Anitha Singh et al., 2009).
BIOMARKERS IN ACUTE KIDNEY INJURY: INNOVATIVE DISCOVERIES TO APPLICATION IN CLINICAL MEDICINE

Acute Kidney Injury (AKI) is a common complication in severely ill patients with a significant rise in its incidence in the past one decade. Though, there has been an increased advancement with newer treatment modalities and techniques, the morbidity and mortality rates associated with acute kidney injury is still high. Serum creatinine (SCr) and urine protein estimation is the only criteria that has been used in the diagnosis of AKI commonly till date. The use of these biomarkers has shown to perform well in patients with chronic kidney disease, but not in acute disease. Newer biomarkers has been discovered to overcome this difficulty with their own advantages and pitfalls. This review article focuses on the recent diagnostic criteria for AKI with the illustration of newer biomarkers for the early diagnosis and appropriate treatment in AKI.
The intensive growth effects of demand structure adjustment on economic growth of China

The intensive economic growth will contribute to solving the problem of resource and environment constraints on the economic development, whereas enhancing the productivity of production factors is the key to promoting the intensive economic growth. In this paper, we put forward that to improve the output efficiency of production factors and then realize the target of intensive growth through adjusting the demand structure, namely changing the conditions or environment of production factors on output effect. Based on this idea, we constructed the threshold cointegration model and conducted empirical research with the data collected between 1978 and 2011, the results of which show that the demand structure will have significant threshold effect on the output efficiency of production factors, and adjusting the demand structure can effectively improve the output efficiency of production factors.
Secure Compressed Key Sharing for Multiple Cipher Text in Cloud Storage

-We propose a perfect key aggregate system with scalable sharing of data in cloud. This scheme provides secure data storage and retrieval. Along with the security the access policy is also hidden for hiding the user’s identity. This scheme is so powerful since we use aggregate encryption (AES) and improved Diffe Hellman key exchange technique in a single scheme. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but concluding the power of all the keys being aggregated. The scheme detects any change made to the original file and if found clear the Error’s. In order to improve the Security we used advanced cryptography technique for data encryption and decryption. So that by proposing those techniques we can provide more secure, efficient and flexible of sharing data. And also address the number of cipher texts usually grows rapidly without any restrictions. So we have to reserve enough cipher text classes in other hand we need to expand the public-key. Although the parameter can be downloaded with cipher texts, it would be better if its size is independent of the maximum number of cipher text classes.
NOVEL MONOCYCLIC β-LACTUM MOLECULES: DESIGNED AND CHARACTERIZED AS POSSIBLE ANTIBACTERIAL AGENTS

A reaction of Schiff bases (1a-j) with monochloro acetyl chloride afforded a series of 1-[4’-(2”,4”-dichloro-5”-fluoro phenyl)-6’-(2”thienyl)pyrimidin-2’-yl-ureido]-4-substituted phenyl-3-chloro-2azetidinone derivatives (2a-j) in moderate yields. All the monocyclic β-lactam products have been characterized on the basis of physical properties of the molecule and satisfactory spectral (IR, 1 H NMR) data. The mechanism of formation of the product is shown. The antibacterial activity of the compounds against some Gram (+) and Gram (-) bacterial strains is reported.
Gait Analysis for Gender Classification Using CASIA Gait Database

: A realistic appearance-based representation to discriminate gender from side view gait sequence is introduced here. This gait representation is based on simple features such as moments extracted from orthogonal view video silhouettes of human walking motion. The silhouette image is divided into two regions. The first region includes from the head to the torso region whereas the second region is from torso to the feet region and for each region features are extracted. Finally we employ different pattern classifiers like KNN (K-Nearest Neighbor) and SVM (Support Vector Machine) to classify the gender. The division of two regions is based on the centroid of the silhouette image. The experimental results show that SVM classifier gives better results when compared to other classifiers. The classification results are expected to be more reliable than those reported in previous papers. The proposed system is evaluated using side view videos of CASIA dataset B .
Solid lipid nanoparticles as a carrier of metformin for transdermal delivery

Worldwide prevalence of type 2 diabetes is increasing with alarming proportions. Metformin is the first-line oral antidiabetic drug of choice for the treatment of type 2 diabetes. The objectives of the present study were to develop Metformin solid lipid nanoparticles (M-SLN) and incorporate it in the transdermal patches. M-SLN was evaluated for Particle size, Zeta potential, Surface morphology by scanning electron microscopy (SEM), Transmission electron microscopy (TEM) and In vitroIn vivo release studies. Patches were evaluated by Ex-vivo skin permeation studies. M-SLN was prepared by solvent diffusion technique using propylene glycol (solvent), polymethacrylic acid (polymer) and Soya lecithin (lipid base). After doing the evaluation of the above mentioned pharmaceutical parameters, M-SLN was loaded in Methocel K100M transdermal patches. Ex-vivo skin permeation studies were conducted on male Wistar ratÊs skin using Franz-type diffusion Cells. The particle size of M-SLN varied among the formulation due to variation in the composition of formulations. Zeta potential of best formulation was found to be +27mV. SEM and TEM indicates discrete spherical structure without aggregation. Drug content was found to be 1.45mg/patch. The ex-vivo permeation studies indicate that the high cumulative amount of drug is permeated from MSLNs. Our study proves the successful delivery of M-SLN from transdermal patch, and Histopathological studies confirmed that the M-SLN transdermal patch only provoked an acceptable modest inflammatory response. These results support the feasibility of developing transdermal metformin for human applications. Thus, transdermal delivery of M-SLN is a safe, painless and cost effective drug delivery system for diabetes patients.
Fast Data Clustering and

— The components forming the information society nowadays are seen in all areas of our lives. As computers have a great deal of importance in our lives, the amount of information has begun to gather meaningful and specific qualities. Not only the amount of information is increased, but also the speed of access to information has increased. Large data is the transformed form of all data recovered from different sources such as social media sharing, network blogs, photos, videos, log files, etc. into a meaningful and workable forms. Clustering on Big Data with machine learning methods is very useful. Clustering process allows very similar data to be placed under a group by separating the data into a specific group. Once datasets are divided, outlier detection is used to find fraudulent data. In this study, it is aimed to make data clustering and outlier detection process faster by using Apache Spark technology on Big Data with K-means clustering method. Clustering on Big Data can be time consuming. For this reason, Apache Spark fast cluster computing architecture is used in this study. It is aimed to perform fault tolerant, reliable, consistent and fast clustering process using this technology. The MLlib library of Spark components has a relatively small code size and ease of use. Its goal is to make practical machine learning scalable and useful. K-means method, which is included in the MLlib library used in this study, provides a successful analysis of big data. The results are presented in tables and graphs using sample dataset.
MRF Based Enhancement on Classification of Hyperspectral Images Using CR Based Nearest Neighbor Classifier

: Hyperspectral imaging is a collection of spectral details over an area using remote sensors where each image data represents dozens or hundreds of adjacent wavelength bands. Hyperspectral camera captures radiance or intensity for each pixel in the form of large number of contiguous spectral bands. This information can be used to uniquely identify spectrally similar information for accurate feature extraction and classification. Nearest neighbor classifier (NN) classifier is one of the classification methods that have been widely used in HSI analysis. The basic idea is to find a predefined number k of training samples in closest to the testing sample and assign the majority category label according to its k nearest training samples. Several extensions to k-NN are developed. In collaborative representation (CR) based nearest neighbor classifier the testing sample is represented as the linear combination of all the training samples. The problem with k-NN is that its performance highly depends on the selection of k and its features. The performance of the classification is improved by the proposed system, where Markov Random Field (MRF) is incorporated with collaborative representation of samples. Markov Random Field is a probabilistic model that can be used as post processing technique. Markov Random field gives a convenient way for modeling image pixels and correlated features by relabeling the neighboring pixels of misclassified pixels. The accuracy of classification is improved by the proposed system.
Spectroscopic Characterization of Chloramphenicol and Tetracycline: an Impact of Biofield

Objective: Chloramphenicol and tetracycline are broad-spectrum antibiotics and widely used against variety of microbial infections. Nowadays, several microbes have acquired resistance to chloramphenicol and tetracycline. The present study was aimed to evaluate the impact of biofield treatment for spectroscopic characterization of chloramphenicol and tetracycline using FT-IR and UV-Vis spectroscopy.
BOARD STRUCTURE AND FINANCIAL PERFORMANCE OF LISTED FIRMS IN NAIROBI SECURITIES EXCHANGE. THE MODERATING EFFECT OF CHIEF EXECUTIVE OFFICER’S POWER

The general objective of the study was to establish the moderating effect of Chief executive officers’ power on relationship between board structure and financial performance of listed firms in Nairobi Securities Exchange. This study made use of two theories namely; agency theory and stewardship theory. An exploratory research design was used in this study. The target population consisted of 68 companies for the period 20112015. The research employed both descriptive statistics and inferential statistics. The sample size was 58 firms which were listed for the entire period of study and had complete data. The study used secondary data which was obtained from financial annual reports. Data was analyzed using both descriptive and inferential statistics. Specifically, multiple regression was used to test the hypotheses. The results showed that CEO power had a positive and significant moderation effects on board age ( =2.582; p<0. 005) board independence ( =2.681; p <0. 05 and financial expertise ( = 2.874; p < 0.05). The results provide evidence on new theoretical insight into factors influencing financial performance by incorporating the role of CEO Power. This study adds value on the understanding of the effect of board diversity on financial performance in listed firms and how CEO power influences this relationship in decision making in the context of a developing economy country like Kenya, where CEO power is more superficial due to the ownership structure and the role of family and founders in firm management. The findings of this study will provide a basis for further studies on board diversity and financial performance. Furthermore, the study provides empirical evidence which will be used by the policy makers with regard to board corporate governance of listed firms. The study recommends that the board should employ independent directors as they are found to effectively exercise their mandate. Keywords—Board Structure, Chief Executive Power, Financial Performance, Global Financial Crisis, Nairobi Securities Exchange.
Physic-chemical characteristics of Bitter and Sweet Almond kernel oil

This research aimed to physicochemical study of almond (Prunusamygdalus L) seed oil was grown in Iran. The almond oils tested in this research indicateda high content of unsaturated (USFA) and low saturated fatty(SFA) acids, significantly. Significant differences existed between the physicochemical indices of different almond oils. The range of Peroxide value (meq/kg), acid value, iodine value, saponification number, of almond seed oil were 0.21 to 0.62 and 0.27 to 0.5 and 95.5 to 104.7 and 178 to 201 respectively. And the range of oil content of almond kernel varied from39% to 57 %. Oleic content (66.69% to 69.5%) is the key fatty acid found in almond kernel oil, followed by linoleic (18.86 % to 22.31%) and palmitic (4.62% to 5.71%) acids. Results showed that the physical and chemical characteristics of almond kernel oils samples were suitable for edible and pastry. Oleic acid was found in highest amount, followed by linoleic, palmitic, stearic and Palmitoleic in almond kernel oils samples. Key worlds: almond, seed oil, physic-chemical properties.