Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Seasonal Variation of Land Surface Temperature (LST) in an Urban Area

Land surface temperature varies with different landuse category. Thermal infrared (TIR) remote sensing technique is able to identify the temperature as measured at the time of satellite overpass. The present study is an attempt to find the seasonal variation of temperature in different landuse pattern and management in Delhi city. Land surface temperature has been calculated from Landsat TM5 satellite images in different seasons (January, April, June and October) by Mono-window algorithm. Field validation of same season (June) has been carried out with calculated temperature which varies from 0.5oC to 1.8oC. Landuse map has been classified into five major classes (Built-up, Dense vegetation, Light vegetation, water body and fallow land) by supervised Fuzzy C-mean method with 88% overall accuracy. Finally, the results indicate that LST of vegetation and water is much low in comparison to others. The difference in LST can be minimized in highly heated areas by initiating plantation programmes in the city built up areas and surroundings throughout the year.
An International Journal for Critical Evaluation of Research on Nutraceuticals & Functional Foods

The incidence of obesity is increasing rapidly worldwide. Identification of compounds that may decrease fat cell burden will be beneficial in the control of obesity. In the present study we investigated the effect of a combination of grape seed extarct, caffeine, genistein, and capsaicin (GCGC) in reducing body weight in obese male zucker rats. Rats were pair-fed on a high fat diet or high fat diet + GCGC for 5-weeks. GCGC caused a significant weight loss due to the depletion of fat depots. GCGC also improved insulin response, reduced plasma glucose and free fatty acids, and increased plasma adiponectin. Adipocytes from rats fed GCGC were more responsive to the various stimulators of lipolysis than the control adipocytes. These results show that a combination of plantderived products is very effective in reducing body weight and improving insulin sensitivity and glucose response in obese zucker rats. This may have implications in the treatment of overweight and obesity in humans.
AN EVALUATION OF THE ANALGESIC AND ANTI-INFLAMMATORY ACTIVITIES OF THE SOLVENT FRACTIONS OF ASPILIA AFRICANA (PERS.)

The use of herbal medicines in the treatment of pain and inflammation has increased significantly in recent years as herbal drugs have become the most accessible form of healthcare to majority of the population in most developing nations. This study was therefore aimed at the investigation and evaluation of the analgesic and anti inflammatory effects of the solvent fractions of Aspilia africana on tail-immersioninduced pain and egg-albumin-induced inflammation using albino rats. Phytochemical constituents of the solvent fractions were also determined using standard procedures. Saponins, tannins and flavonoids were found to be common in all the active fractions. The analgesic and anti-inflammatory effects of the different solvent fractions were compared against a standard non-steroidal antiinflammatory drug (Indomethacin) and a placebo. All the fractions showed negative significant values at P<0.05 when compared with Indomethacin for the analgesic effect while that against the placebo showed no significant difference in activity. For the anti-inflammatory effect, all the fractions showed no significant difference when compared with indomethacin but when compare with the negative control, a positive significant difference (P < 0.001) was observed from the 3rd to 4th hours. In conclusion, Aspilia africana leaves harvested in Nigeria could therefore be said to posses significant anti inflammatory property with little analgesic effect. This makes the plant a WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES Volume 2, Issue 6, 4177-4189. Research Article ISSN 2278 – 4357 Article Received on 16 August 2013, Revised on 15 Sept 2013, Accepted on 22 October2013 *Correspondence for Author: *Stanley E. Ukwueze Department of pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, University of Port Harcourt, Choba, Rivers State, Nigeria. stanejike@yahoo.com stanley.ukwueze@uniport.edu. ng
Entropy Optimization for Image Retrieval

Recent studies shows that there are several information retrieval are being developed. Earlier the main focus was text retrieval. Information retrieval (IR) concerned with the searching and retrieving of knowledge-based information from database. In this paper, we represent the various models and techniques for information retrieval. This paper focuses some of the most related image retrieval techniques.
The Effects of Freeze-Thaw Cycles and of Storage Time on the Stability of Proakap4 Polypeptide in Raw Sperm Samples: Implications for Semen Analysis Assessment in Breeding Activities

Evaluation of the concentrations of the sperm macromolecule called proAKAP4, has been successfully introduced as a pertinent sperm parameter to assess sperm quality and high concentrations of proAKAP4 was shown to be highly correlated with sperm motility and fertility in large mammals. The sandwich ELISA kits known as Pig 4MID® Kits allowed the artificial insemination stations to monitor sperm quality more accurately with threshold values qualifying each ejaculate and animal. Introducing new methods and procedures are always challenging and sperm frozen collections have been suggested to standardize sperm assessment in daily routine. We thus have designed an experimental study to assess proAKAP4 stability and integrity in neat frozen ejaculates. Following baseline measurements, fresh ejaculates were aliquoted and stored at -20 °C for stability experiments up to 6 months and following up to 10 freeze-thawing cycles. ProAKAP4 concentrations were assayed at each time point using the Pig 4MID® Kit and western blot. Median or mean changes from baseline concentrations were evaluated statistically. We showed that the frozen storage conditions neither modified the total proAKAP4 concentrations nor changed the degradation rates of the proAKAP4 into mature AKAP4, that should in turn ensures signaling, capacitation and motility. This sperm parameter was shown then to be robust for semen quality analysis on fresh and on frozen neat semen. Taken together, proAKAP4 polypeptide can be considered as a highly stable analyte when kept frozen in raw semen up to the semen quality analysis using the Pig 4MID® Kit.
IBI AND ICI CANCELLATION FOR MIMO OFDM BASED ON TOMLINSON HARASHIMA PRECODER AND DIRTY PAPER CODING

— In multi-user multiple input multiple output (MU-MIMO) system, the problem in transmission of data in Downlink channel is that the particular signal is affected by other user signals. So, interference cancellation at base station (BS) is required. The main aim of this paper is to eliminate the Inter carrier Interference and Inter Block Interference. In this paper, Tomlinson Harashima precoder and Dirty paper coding techniques are considered to eliminate interference due to other signals in the system. In the Existing work channel inversion and regularized channel inversion techniques, which can assist to cancel inter block interference (IBI). In the proposed work, the comparison of inversion and regularized channel inversion techniques with Tomlinson Harashima precoder and Dirty paper coding is discussed. And also discuss the performance comparison of channel inversion, regularized channel inversion, Tomlinson Harashima precoder and Dirty paper coding in terms of bit error rate (BER). In overall dirty paper coding gives better performance in terms of Bit error performance.
SABIS-Comparative Studies

— S.A. B.I. S. (sEMG Accelerometer based Interactive System) is interactive software that would be used for interfacing compatible hardware systems that would help user have an entirely newer level of experience in the field of Human computer interactions. SABIS would be used to interface and calibrate systems that would be used as input for applications which would support such a system. Many aspects of human interactions can be captured using Accelerometers and surface Electromyogram signals, which give an idea regarding the movement that the user may wish to perform. This data can be sampled and converted as inputs for normal day to day computer applications which would integrate computer usage much more in the flow of human actions. Also, an extra level of research is being done to understand the use of a similar system for the elderly and disabled. This would add into an entirely new field of bioinformatics.
The Continuous Time Random Walk and the Finite Difference Method for the Space Time Fractional Diffusion Equations

The space fractional diffusion equations are a linear partial pseudo-differential equation with spatial fractional derivatives in space. This equation arises when the motion of the particle is not Brownian and there are extremely long jumps whose length is distributed according to the Lévy long tail 1 ,0 2 x α α − − < <  Some physical, biological and chemical models exhibit a power law with a non integer frequency of order ,0 1. t β β − < < In this case, one needs to replace the first order time differential operator by the Caputo time fractional operator. In this paper, I am interested in finding the approximation solution of the space time fractional diffusion equations by using the common finite difference rules beside using the Gruenwald-Letnikove difference scheme for the fractional differential operators. The approximation solution is proved to be conditionally stable. Finally, some numerical examples are given based on this method.
A Hybrid Ant Colony Optimization Approach for Solving Multiobjective Design Optimization of Air-Cored Solenoid

This paper presents a novel multiobjective design optimization problem. The multiobjective design problem can be cast in theses terms: maximize the inductance and minimize the volume of a coreless solenoid. In order to obtain a set of equivalent optimal solutions, a hybrid ant colony optimization approach has been implemented. The proposed approach differs from the traditional ones in its design of a multipheromone ant colony optimization (MACO) as well as the inclusion of steady state genetic algorithm (SSGA) and local search approach. From the results, it is found that the proposed approach is fast and efficient and hence it is useful for multiobjective design of an air-cored solenoid. KeywordsAnt colony optimization, Design optimization, Multiobjective. Pareto solutions.
DENSITY, REFRACTIVE INDEX AND EXCESS MOLAR VOLUME OF BINARY MIXTURES OF 2-CHLOROANILINE IN DMSO AND DMF

Densities and refractive indices have been measured for the binary mixtures of 2Chloroaniline with DMSO (dimethylsulphoxide) and DMF (dimethylformamide) as a function of volume percentage at 308.15 K, 313.15 K and 318.15 K. The molar volume and excess molar volume were obtained from the density data and the molar refraction and excess molar refraction were calculated from the experimental refractive index values and fitted with Redlich-Kister polynomial equations. The experimental refractive index values are analyzed by different theoretical mixing rules. The results are discussed in terms of molecular interactions. From these results, the molecular interaction is obtained by the following order, DMSO>DMF in 2-chloroaniline.
Tuberculosis Of The Spine In Nigeria: Has Anything Changed?

Objective: To review the patterns of presentation, available treatment methods and outcome of tuberculosis of the spine at our centre. Methods: A retrospective review of all patients with tuberculosis of the spine seen at Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife from 1st January 1999 to 31st December, 2005 was carried out. The clinical features, laboratory test results, radiologic features, treatment methods and outcome were analyzed. Results: A total of 62 patients with Tuberculosis of the spine were seen and treated during the study period out of which 49 had complete information suitable for analysis. These consisted of 24 males (49%) and 25 females (51%) with a mean age of 32.8 + SD. Students (30.6%) and traders (26.5%) were the most affected groups. Back pain (85.7%) and weakness of the lower limbs (87.7%) were the commonest presenting complaints. The most commonly involved region of the spine was the lumbar spine (49%) with 37patients (75.5%) having multiple consecutive vertebral involvement. The commonest radiographic pattern was wedge collapse of the vertebral bodies and destruction of the intervertebral disc (63.3%). Human Immunodeficiency Virus (HIV) screening was confirmed positive in 2 (7.4%) out of 27 patients that had the test. Only 24 patients (49%) had satisfactory healing with no persisting spine deformity or paraplegia. Conclusion: The incidence of tuberculosis of the spine continues to rise. The outcome of the modalities of management presently available is unsatisfactory. There is need to improve the facilities for spinal surgery so that our patients can maximally benefit from a combination of surgery and chemotherapy.
A Review of Benefits of FACTS Devices in Power System

In developing countries, a pressure associated with economical and environmental constraints has forced the power utilities to meet the future demand by fully utilizing the existing resource of transmission facilities without building new lines. Flexible alternating current transmission systems (FACTS) devices are used to control the phase angle, voltage and impedance of high voltage AC lines. By using FACTS devices maximum benefits of transmission system can be managed i.e. utilization of existing transmission assets; increased transmission system availability and enabling environmental benefits. This paper presents different types of FACTS devices and their benefits for transmission in electrical power system. Keywords-Transmission system, FACTS Devices, Benefits
Applying the Particle Filter and Classifier to Front Vehicle Detection and Tracking

: In this paper, we propose a computer vision-based method of front vehicle detection and tracking. The method firstly completes the detection and tracking of the candidate vehicle’s position in the input image by using the particle filter, and then extracts the HOG features in the candidate region, finally inputs these features into the beforehand trained AdaBoost classifier to complete vehicle identification. Since the method only uses the particle filter, no matter whether there is vehicle in the front, a candidate vehicle region will be determined, which results in high false positive rate. Therefore, in the method proposed herein, we will carry out further identification on the candidate regions by using beforehand trained classifier, so as to effectively reduce the false positive rate. The experimental results show that our method realizes an accuracy rate of up to 93.8%, and the execution speed of images under the resolution of 320 240 pixels is up to 15 frames per second.
On the nexus between Stock Market Fluctuations and the Demand for Money in Saudi Arabia

This research paper estimates the augmented money demand function for Saudi Arabia while incorporating stock prices as one of the key determinants and utilizing quarterly data spanning over the period of 2010-2018. The estimated money demand function coincides with theoretical expectation regarding income and interest rate over long run. In Particular, the demand for money is statistically significant and positively related with income while itâ€™s negatively related with interest rate. On stock prices, the findings suggest that they are statistically significant and have positive impact on money demand over the long run. Moreover, the estimated error correction model indicates that it takes money demand about two quarters to adjust to its equilibrium condition.
Efficacy of plant essential oils against E. coli O157:H7, Salmonella enterica and L. monocytogenes in fruit juices

The antimicrobial and health benefits of essential oils (EOs) have been known for years, however, the research studies about their effectiveness and optimum concentrations against food pathogens is scarce. This study investigate the effectiveness of five EOs: lemongrass, cinnamon leaf, oregano, rosemary, and sage oils for control of growth and survival of E. coli O157:H7, Salmonella enterica and L. monocytogenes. Minimum inhibitory concentration (MIC) was measured using agar dilution method, which showed that oregano oil exhibited the highest MIC level (1μl/ml for all bacteria), followed in close levels by lemongrass and cinnamon, then rosemary and the weakest effect was shown from sage oil. Due to the un-satisfying results of sage oil, all other EOs were selected to determine their minimum bactericidal concentrations (MBC) against the bacteria in culture media (three fruit juices: apple, orange, strawberry juices and tryptic soy broth “TSB”) using broth dilution method. Statistical analysis showed significant differences (P < 0.05) among EO concentrations and culture media. A concentration of 1μl/ml from oregano was required to inactivate E. coli in all juices, while 2μl/ml was required for inactivation of both Salmonella enterica and L. monocytogenes. In TSB, however, higher concentrations were required to inactivate the bacteria, reaching up to 4 μl/ml for L. monocytogenes. These studies provide information about EOs as possible natural alternative for food additives to promote the safety and quality of commercial fruit juices. [Mohamed I. Hegazy. Efficacy of plant essential oils against E. coli O157:H7, Salmonella enterica and L. monocytogenes in fruit juices. J Am Sci 2012;8(9):184-190]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 27
Privacy-Preserving and K-Nearest Means Clustering over Relational Data

: Data Mining has wide use in many fields such as financial, medication, medical research and among govt. departments. Classification is one of the widely applied works in data mining applications. For the past several years, due to the increase of various privacy problems, many conceptual and realistic alternatives to the classification issue have been suggested under various protection designs. On the other hand, with the latest reputation of cloud processing, users now have to be able to delegate their data, in encoded form, as well as the information mining task to the cloud. Considering that the information on the cloud is in secured type, current privacy-preserving classification methods are not appropriate. In this paper, we concentrate on fixing the classification issue over encoded data. In specific, we recommend a protected k-classifier over secured data in the cloud. The suggested protocol defends the privacy of information, comfort of user’s feedback query, and conceals the information access styles. To the best of our information, our task is the first to create a protected k-classifier over secured data under the semi-honest model. Also, we empirically evaluate the performance of our suggested protocol utilizing a real-world dataset under various parameter configurations. To secure user privacy, numerous privacy-preserving category methods have been suggested over the past several years. The current methods are not appropriate to contracted database surroundings where the information exists in secured form on a third-party server
A Survey on Data and Decision Fusion Strategies on Spectrum Sensing in Cognitive Radio Networks

—Cognitive radio is a promising technology which provides a novel way to improve utilization of available spectrum. Spectrum sensing is a fundamental problem for cognitive radio. Cooperative spectrum sensing is an efficient way to detect spectrum holes in cognitive radio network. In this paper we review that in cooperative sensing for data and decision fusion we conduct some hypothesis test in which we study different methods of hypothesis testing based on various fusion rules, Likelihood ratio test (LRT) and Neymon Pearson Criteria. Some serial and parallel topologies of distributed network in which secondary users are connected to each other for performing their operation are also shown. Soft combination scheme exceeds hard combination scheme at the cost of complexity. Therefore quantized combination scheme provides a better compromise between detection performance and complexity.
Model Based Prediction Technique for Denial of Service Attack Detection

All the interconnected systems since the early days of commercially used internet, its system and network infrastructure have always been target of malicious parties. A denial of service attack is regarded as a major threat because of its ability to form a huge volume of unwanted traffic. It is hard to detect and respond to DoS attacks due to large and complex network environments. A prediction method is then proposed, in which the attacker behaviour can be predicted using a linear predictive coding. It uses a multivariate correlation analysis for accurate network traffic characterization by extracting the geometrical correlation between extracted and normalized network features.Finally, the proposed prediction method is investigated to predict DoS attacks through simulation studies.
Privacy preserving k-Means clustering on horizontally distributed Data

Privacy preserving Data mining (PPDM) is the combination of information security technology and knowledge discovery technology. The aim of Privacy preserving data mining is the extraction of relevant knowledge from large amount of digital data while protecting at the same time sensitive information. Here the proposed method for k-Means Clustering techniques on horizontally partitioned data on different nodes in a privacy preserving manner. We use k-Means algorithm as the basis for a communication efficient privacy-preserving clustering on databases that are horizontally partitioned between two parties. Here the propose methods for calculating the distance of objects of two parties in a privacy preserving manner.