Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent Image Compression Algorithms: A Survey

: This paper presents the short survey on some of the recent non transformation based image compression algorithms. It covers the different techniques for the purpose. Paper describes harmony search, various algorithms on block truncation coding and fractal compression techniques. These algorithms are based on the lossy compression of images. Paper also gives the overview regarding some traditional techniques used for image compression. Compression refers to the reduction of the size of the data that images contain. Redundant data can be considered as repeated or irrelevant information. Eliminating statistically redundant data often yields reversible or lossless compression while eliminating visually irrelevant data inflicts losses on the reconstructed image, which is the method implemented by lossy compression techniques .
Long term exercise preconditioning protects against renal dysfunction after ischemia reperfusion injury in rat kidneys

Background: Acute kidney injury (AKI) has been recognized as one of the most complex clinical complications, and renal ischemia/reperfusion (I/R) injury considered as a main reason of AKI. Aim of the work: This study was planned to identify the possible effect of regular swim exercise on kidney function parameters and oxidative stress in bilateral renal ischemia/reperfusion (I/R) injury model in adult male rats. Material and Methods: Twenty four Male albino rats were randomly divided into three groups of sham control group, ischemia group (I/R), and pre-ischemia exercised group (exercise + I/R). The third group underwent regular swim exercise for 11 consecutive weeks. Ischemic group (I/R), and pre-ischemia exercised groups were subjected to bilateral renal I/R injury. Absolute and relative kidney weights as well as biochemical analysis including serum urea, creatinine & tumor necrosis factor alpha (TNFα) were determined in all groups. In addition, Malondialdehyde (MDA) level, catalase activity & nitrite level were assessed in the renal tissue. Results: The serum urea, creatinine and TNFα levels, as well as absolute kidney weight (KW) and kidney weight to body weight ratio (KW/BW), all were significantly increased in I/R group as compared to the sham control group. Regular swim training decreased levels of serum urea, creatinine and TNFα significantly, in addition to the significant decrease in absolute KW as compared to control group. The renal tissue level of MDA was increased while the catalase activity was decreased in I/R group as compared to the sham control group and both of them nearly normalized in rats that undergo regular swim training before I/R. The renal tissue of nitrite were not significantly different between I/R and sham control groups; however, regular swim training significantly increased the renal level of nitrite. Conclusions: The findings of the current study illustrated that regular exercise seems to be a highly promising way in protecting renal tissue against oxidative damage and in preventing renal dysfunction due to ischemia/reperfusion. [Ramadan A. Saad. Long term exercise preconditioning protects against renal dysfunction after ischemia reperfusion injury in rat kidneys. J Am Sci 2014;10(6):154-161]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 19
Isolation and identification of ammonia reducing Bacillus megaterium from chicken cecum

Ammonia is the most harmful ingredient in the foul odor, which causes stress response, lowered immunity, diseases, death of livestock, and poultry poisoning. To reduce ammonia emission from chicken manure, a strain of ammonia nitrogen-degrading bacteria was isolated from chicken cecum on anaerobic nitrification medium and aerobic denitrification medium. The capacity of bacteria to degrade ammonia nitrogen was also studied. The strain was firstly identified as Bacillus megaterium via physiological and biochemical characteristics, morphological observation, and 16S rDNA sequence analysis. The content of ammonium nitrogen in chicken manure was decreased, especially at 96 h (P < 0.05), which was detected by the indophenol blue method. Correspondingly, the content of nitrate nitrogen detected by phenol disulfonic acid method was increased and reached to the highest at 48 h (P < 0.05). In addition, the ammonia content was significantly reduced when drinking water contained 1 × 10 CFU/ml of Bacillus megaterium. In conclusion, a new bacterial strain derived from chicken cecum was identified and studied on its deodorization function in detail to provide the first direct evidence for improving environment of the chicken coop and surroundings.
Sensory Attributes of Fresh Herb Chutneys Prepared Using a Flavor Enhancer

Taste and flavor are considered as the most important sensory attributes in food palatability. The most commonly used flavor and taste enhancer is monosodium glutamate (MSG) to bring about positive palatability changes. The present investigation was designed to evaluate the sensory characteristics of MSG incorporated fresh herb chutneys based on mint (Mentha spicata), coriander (Coriandrum sativum) and curry leaves (Murraya koenigii). The products were standardized by incorporating 3 different levels of MSG viz, 100, 150 and 200 mg/100g of the product. Product without MSG served as control. The products were served with and without the carrier (conventional bread, unleavened flat breads prepared with rice and with whole wheat flour) and were evaluated by a group of 10 trained panelists for the attributes like appearance, taste, mouth feel, aroma and overall quality. A maximum score of 20 was assigned for each attribute. The results showed that both set of products (with and without carrier) were acceptable. The taste quality of curry leaves chutney served without a carrier was given highest score in comparison to other two products and was in the range of 14.7 ± 1 to 16.8 ± 1.08. Aroma quality of curry leaves chutney was highly acceptable and obtained the highest score of 18.1 ± 1.3. Except for the quality of appearance all the remaining attributes were indicated to have significant differences for both the set of products. Hence, it can be concluded that MSG incorporation had a positive impact on the sensory parameters of all the products.
A REVIEW ON IMPLEMENTATION OF ENTREPRENEURSHIP EDUCATION-Rise of Entrepreneurs

The scope of this study is mainly focussed on the implementation of the entrepreneurship as a part of curriculum at every schools of under-graduation in order to gain as much as profit to the nation and for self-employment. It has become a major need in the present scenario. India is one of the developing countries among the world which also has high level of unemployment and greatly women and rural areas. Entrepreneurship facilitates the rate of development of a country by increasing the rate of growth in GDP (gross domestic product) of a country. It helps in increasing the productivity and continued innovation in techno – managerial practices. Entrepreneurship brings an improving in international competitiveness. It also brings out a major impact on the economic diversification and the optimum usage of the local resources which finally adds to pride of the nation. The research study will reveal the facts which are important to develop entrepreneurship as a career option among every school of under-graduation in current scenario section below. Keywordsentrepreneurship, unemployment, techno managerial, GDP
A Novel Approach of Encrypted Data on Cloud Storage

: The unstable increase of data brings new challenges to the data storage and management in cloud settings. These data classically have to be processed in a suitable style in the cloud. Thus, any superior latency may source a huge loss to the enterprises. Duplication finding plays a very major role in data management. The planned fingerprint is then comparing touching other available chunks in a database that dedicates for storing the chunks. Though, there is simply one copy for every file stored in cloud immobile if such a file is owned by a massive number of users. As a conclusion, Deduplication system improves storage consumption whereas dropping reliability. Moreover, the features of privacy for reactive data also arise while they are outsourced by users to cloud. Aiming to contract with the above safety challenges, this paper makes the first stab to honor the idea of distributed dependable Deduplication system. We propose new distributed Deduplication systems with advantaged reliability in which the data chunks are distributed diagonally various cloud servers. The security wants of data privacy and tag consistency are also achieve by introduce a deterministic furtive sharing system in distributed storage systems, as an option of using content hash encryption as in foregoing Deduplication systems.
Standing and Dynamic Sitting: Effects on University Classroom Performance – A Pilot Study

Background: There are health risks associated with prolonged periods of sitting. A concern with interventions to reduce sitting is performance may suffer. Purpose: This pilot study investigated the effect of alternative posture on classroom performance. Methods: University students (N=20) listened to three 50-minute lectures followed by three quizzes pertaining to the lectures, performed cognitive tasks, and rated their discomfort, ease, enjoyment, focus, and future use after each condition. For the main results, one-way repeated measures ANOVA were used to examine for differences across classic sitting, dynamic sitting, and standing conditions. Results: Classroom performance, cognitive performance, enjoyment, and focus do not suffer by changing students’ anatomical position from classic sitting. However, standing posture may cause more discomfort and difficulty for some students. Conclusion: At this early stage of inquiry there is no evidence to recommend against providing dynamic sitting and standing options in university classrooms to allow students to receive health benefits as they learn.
Evaluation of the Role of Plasma High Sensitivity C-reactive Protein Levels as a Prognostic and Diagnostic Marker in Acute Ischemic Stroke

Introduction: Cerebrovascular disease is the second most common cause of death worldwide. Male gender, older age, smoking, hypertension, diabetes, and hypercholesterolemia are the well-known risk factors for carotid disease as well as for stroke. An increasing body of evidence has linked inflammation with the pathogenesis of atherothrombotic stroke. C-reactive protein (CRP), one of the acute phase reactants, is an indicator of the underlying systemic inflammation and a novel plasma marker of atherothrombotic disease. Hence, the measurement of plasma high sensitivity CRP (hs-CRP) levels can be useful in stroke patients. Materials and Methods: 60 patients with either hypertension or diabetes or both or none without thrombolysis with the first ever acute ischemic stroke patients were examined with the exclusion from the exclusion criteria. Plasma hs-CRP level was determined within 72 h of onset of symptoms in all computed tomography-confirmed ischemic stroke patients. This clinical study was performed during July 2013 to July 2014. hs-CRP was randomly measured in 60 ageand sex-matched individuals admitted in other wards of the hospital matched in all possible criteria expect the disease under study as a control group. Results: The hs-CRP concentration was significantly elevated in acute ischemic stroke as compared to control group and it was more between 51 and 70 years of age group and almost equal in both genders. Only 54 of the 60 ischemic strokes patients had hs-CRP value >3 mg/L and only six patients had <3 mg/L (P < 0.001), which is statistically significant. Only 7 of the 60 control group patients had hs-CRP >3 mg/L, which is insignificant. Conclusion: The hs-CRP level is significantly higher in ischemic strokes and by its elevation within 72 h of symptom onset was a bad prognostic indicator. Elevated hs-CRP values were a risk factor in association with other risk factors such as diabetes/ hypertension.
Theoretical study of structure thermodynamic properties Caffeic acid as powerful antioxidants

Analysis of caffeic acid a phenolic derived with well known antioxidant properties, was carried out by ab initio calculations, at the density functional theory (DFT) level. A complete geometry optimization was carried out for caffeic acid, in order to obtain the geometries and relative energies of the molecule.DFT calculations were performed at the B3LYP, B1LYP, B3P86, B3PW91, LSDA and HF methods With STO-3G, 3-21G* and 6-31G* basis set on the caffeic acid compound with Gaussian 09 program. The adsorption thermodynamic parameters (ΔG, ΔH, ΔE, Δzero-point energy and S) were calculated which showed an endothermic adsorption process. Calculated are accomplished at 298 K. The structures, energetic and thermodynamic properties will be discussed.
Anti Food Poisoning Pathogenic Bacteria in Correlation to Coumarins and Flavonoids of Atropa belladonna Field Plant and in vitro Cultures

Aim: Investigation of the antimicrobial activity of Atropa belladonna leaves and in vitro callus extracts against food borne bacteria. Method: A. belladonna leaves were used for in vitro study on Murashige and Skoog media supplemented with growth regulators. Coumarins and flavonoids phenolics were extracted from mother field plants, callus and differentiated plants with 70% methanol after segregation of tropane alkaloids. The examined bacteria strains included S. aureus, E. coli, S. typhi, C. jejuni, and L. monocytogenes Results: HPLC analyses illustrated the presence of bergapten, xanthotoxin and umbelliferone coumarins. The analyses also disclosed the presence of rutin, Quercetin 3-O-rhamnoside, kaempferol rhamnoside, and kaempferol flavonoids. Antimicrobial investigation showed that both mother plant and in vitro callus extracts showed potent anti microbial activity against the selected strains of food poisoning bacteria comparing to broad spectrum antibiotics. Conclusion: Present outcomes highlight the prospect role of in vitro cultures to produce the coumarins and flavonoids in steady regular technique. Current findings also explore the effectiveness of these metabolites as natural anti food borne bacteria; the causative agents of many risky diseases. Present results could be start guide for producing plant derived antibacterial and help in solving the problem of resistance of bacteria to currently used drugs.
A PRACTICAL APPROACH: ADAPTIVE FILTERING FOR SENSORINEURAL HEARING IMPAIRMENT

Hearing impairment is the number one chronic disability affecting many people in the world. Background noise is particularly damaging to speech intelligibility for people with hearing loss especially for sensorineural loss patients. Several investigations on speech intelligibility have demonstrated that sensorineural loss patients need 5-15 dB higher SNR than the normal hearing subjects. This paper describes a practical approach using adaptive filtering for sensorineural impairment to improve the SNR for sensorineural loss patients. The computer simulations results show superior convergence characteristics of the adaptive algorithm by improving the SNR at least 8dB for input SNR’s less than and equal to 0 dB and better time and frequency characteristics.
Optic Disc Segmentation Based on Independent Component Analysis and K-Means Clustering

: The determination of the Optic Disc (OD) boundary is a fundamental step in the analysis of digital Diabetic Retinopathy (DR) systems. The novel method for automatically locate the Optic Disc (OD) is proposed in this paper. The proposed algorithm is mainly based on the K-means clustering and Independent Component Analysis (ICA). Unlike RGB color space, where R, G and B components are correlated, in the new ICA color space three components are statistically independent and uncorrelated. Prior to the Optic Disc segmentation the blood vessels are extracted and removed by local entropy thresholding and in-painting methods. The proposed method has been tested on a public datasets STARE and DRIVE with accuracy of 94.3% and 100%.
Web Mining Image Retrieval using Multimodal Fusion Method

: The retrieving method utilizes the fusion of the images’ multimodal information (textual and visual) which is a recent trend in image retrieval researches. It combines two different data mining techniques to retrieve semantically related images: clustering and association rules mining algorithm. The semantic association rules mining is constructed at the offline phase where the association rules are discovered between the text semantic clusters and the visual clusters of the images to use it later at the online phase. The proposed method will achieve the best precision among different query categories.
Availability and Knowledge of Iodized Salt at Household Level and Associated Factors at Debre Tabor Town, Northwest Ethiopia

Iodine is an essential element that enables the thyroid gland to produce thyroid hormones which are vital for growth and development of the brain and central nervous system [1]. Salt iodization was introduced to control iodine deficiency [2]. Nearly two billion individuals worldwide live in areas of iodine deficiency and the adverse consequences of iodine deficiency are widely observed due to poor knowledge related to poor iodine diet and improper iodized salt utilization [3]. Abstract
Corporate Social Responsibility and Performance: A Case Study of Mining Companies in Ghana

Corporate Social Responsibility (CSR) has become very important in recent years, especially its impact on business operations. Using mining companies in Ghana as a case study, this study investigates the extent to which CSR activities engaged by companies relate to their performance.Content analysis is used in measuring the CSR activities of mining companies in Ghana. The study reveals a positive relationship between return on equity and all the CSR variables(environmental management systems, employee relations and community performance). Net profit margin relates positively with CSR activities such as environmental management system and employee relations whilst return on asset was found to have a positive relationship with only oneemployee relations. Mining companies should be engaged in CSR activities that positively impact on financial performance since this eventually translate into creating value for host communities. Keywords: corporate social responsibility, mining companies, financial performance.
Phenolic Content and Antioxidant Capacity of Selected Cucurbit FruitsExtracted with Different Solvents

Cucurbits are major economically important species of plants; particularly those with edible fruits having nutritional significance. The present work was to investigate the polyphenolic content and antioxidant capacity of peels and pulps of four cucurbit fruits, namely pumpkin, ash gourd, watermelon and muskmelon. The solvent systems used were methanol, ethanol and acetone at three different concentrations in distilled water (50, 70, and 100%) and 100% distilled water. The extracts were analyzed for their total phenolic content, total flavonoid content and antioxidant activities using Ferric Reducing Antioxidant Power assay (FRAP assay), DPPH free radical-scavenging assay and ABTS radical scavenging capacity. The result showed that the highest extraction was by 50% acetone in case of peels and 50% ethanol in case of pulp. The best solvent was 50% acetone as it gave highest yield as well as showed highest correlation between various assays. The polyphenolic content and the antioxidant activity were high in peels than pulps. The muskmelon fruit extracts (peel and pulp) showed highest antioxidant activity. High polyphenolic content showed significant correlation with high antioxidant activity. The result indicated that these cucurbit fruit are good source of natural antioxidants which can be utilized as an ingredient to functional foods.
ANALYTICAL METHODS FORTAXANES QUANTIFICATION IN DILUTED FORMULATIONS AND BIOLOGICAL SAMPLES AND THEIR APPLICATIONS IN CLINICAL PRACTICE

Improvement of the rational use of classic chemotherapeutic drugs is currently a concern for health professionals, as these still constitute an important strategy for cancer treatment. Taxanes are a group of chemotherapeutic agents routinely used in the treatment of a variety of cancers. Their administration to patients is parenteral, which implies dilutions from commercial stock solutions to obtain the final individualized quantity of drug prescribed,
GREEN SYNTHESIS OF SILVER NANOPARTICLES FROM HOLARRHENA ANTIDYSENTRICA: SYNTHESIS AND ANTIMICROBIAL ACTIVITY

Department of Chemistry, Manonmaniam Sundaranar University, Tirunelveli ,Tamil Nadu, India ISSN: 0976-3031 RESEARCH ARTICLE GREEN SYNTHESIS OF SILVER NANOPARTICLES FROM HOLARRHENA ANTIDYSENTRICA: SYNTHESIS AND ANTIMICROBIAL ACTIVITY 1Paramanantham,M. , 2Murugesan, A. , 3Muthu,M.K and 4Ramamoorthy, R 1,2Department of Chemistry, Manonmaniam Sundaranar University, Tirunelveli ,Tamil Nadu, India 3Department of Chemistry, Sriram Engineering College, Chennai 4Department of Sericulture, Tamil Nadu Agricultural University, Coimbatore
Student’s Web Based Learning Method using Technology Acceptance Model- A Study

The motivation behind this paper is to identify the primary variables that impact the students learning through websites. In this study, the overview polls were controlled to a specimen of 180 students in a well reputed technical college in Muscat. The basic frame work of this study utilizes Technology Acceptance Model (TAM which is appropriately altered by consolidating some factors which is suitable for the objective of the exploration work). This study proposed a hypothetical structure that incorporates the center builds in TAM: namely, perceived ease of use, perceived usefulness, and attitude toward usage. Extra outer variables were likewise adopted -namely, skills and knowledge, interface and system accessibility. The observational discoveries of this study are valuable for colleges, Internet administrators, strategy creators etc. The factors analysis and regression analysis are used to assess this research model. The research model proposes that all said variables either specifically or by implication influence the general behavioral expectation to utilize the site learning. This study offers knowledge into learning through sites in Oman. Few studies are done on this point so its commitment will be noteworthy to the writing of web based learning The general model proposes that all said variables either specifically or by implication influence the general behavioral of the students to use the web based learning.
Analysis of Optimal Cost Approach for Software Quality Assurance Model

: - Analysis of software quality assurance cost optimization constitutes a significant part of the total development costs of a software system. Most of the approaches used for quality assurance include fifty percent of defect detection and removal methods. It also points out, how to optimize the investment into various software quality assurance techniques and the expected reliable development of high quality software regularly becomes a major problem. This paper provides one of such approach to optimize the cost involved while maximizing the quality, reliability and also reduces the cycle time for the modeling system.