Miracle-dz/UniFAR-FTUs huggingface dataset:
The Radiosensitivity Effect of Hydroxyurea on HT29 Cell Line

The radiosensitizer compounds are used in order to increase the efficacy of radiotherapy. Hydroxyurea is one of the antineoplastic agents and used orally for treatment of melanoma, metastatic or inoperable ovarian cancer, and chronic myelocytic leukemia and as an adjunct to radiation in the treatment of squamous cell carcinoma and cancer of the head and neck. This approach was launched to evaluate the efficiency of combination of hydroxyurea and gamma ionization irradiation on HT29 cell line. After the proliferation of HT29 cell line and cells were in the exponential phase, the density of 10 5 of HT29 cell line was seeded in every well of 96-well dishes; different doses of hydroxyurea were added to each well. The ionizing irradiation has been performed 4 hours after drug treatment. Then the viability of cells was determined by MTT assay. Hydroxyurea at 2.5 μM concentration has not shown significant cytotoxicity on HT29 cell line without ionizing irradiation but the viability of cells have been decreased significantly to about 55 % of control with irradiation combination. The use of low dose of hydroxyurea in conjunction with tumor radiotherapy might results in much greater toxicity to tumor than normal tissues.
Treatment Patterns and Costs for Anti-TNFα Therapy in Patients with Ankylosing Spondylitis

Objective: Limited information exists on real-world use of anti-tumor necrosis factor-α (TNFα) biologic agents in ankylosing spondylitis (AS). This study evaluated the treatment patterns and costs of anti-TNFα biologic therapy and disease-modifying antirheumatic drugs (DMARDs) in patients with AS. Methods: MarketScan claim databases were used to identify anti-TNFα biologic treatment-naïve AS patients (aged ≥ 18 years that had not undergone anti-TNFα biologic therapy in the previous 6 months) who initiated antiTNFα biologic treatment between October 1, 2009 and September 30, 2010. Frequency of anti-TNFα biologic switching, duration, treatment modification, and medical and pharmacy drug costs for each line of anti-TNFα biologic therapy was analyzed during the 3-year follow-up. Results: We identified 337 eligible patients with AS. First-line anti-TNFα biologics were: etanercept (n=115), adalimumab (n=129), infliximab (n=38), and golimumab (n=15). Patients who did not switch were persistent with their first-line agent for a longer duration (505 days) than those who switched to a second-line (336 days) or thirdline (325 days) anti-TNFα biologic agent. Time to first treatment modification was shorter for those who switched to second-line (88 days) and third-line (6 days) therapy versus those who remained on first-line therapy (160 days). Monthly per member medical costs were greatest for nonswitchers ($354) than for patients who received secondline ($225) or third-line ($112) anti-TNFα biologic treatment. Overall pharmacy drug costs were similar for patients with first-line ($1899), second-line ($1955) or third-line and further ($1890) therapy. Conclusion: Patients with AS who switched anti-TNFα biologic therapy had more modifications to their treatment during the follow-up period. Those who switched to secondor third-line anti-TNFα biologic therapy had lower medical costs compared with those who remained with first-line treatment; however, pharmacy costs were similar among all.
Synergistic Effect of Different Nanoparticles Hybridization on Mechanical Properties of Epoxy Composite

This paper is concerned with fabrication and mechanical characterization of different nano particles, i.e., Graphite (G), Silicon Carbide (SiC), and Aluminum Oxide or Alumina (Al 2O3,) dispersed in epoxy composite in two primary scenarios. In the first scenario, the effect of dispersion of different weight fractions of single type of nano particles on the mechanical properties is investigated. While in the second scenario, the effect of hybrid dispersion of multiple nano particles is investigated. In order to optimize dispersion and particle-matrix adhesion, specimen were prepared using ultra-sonication. Experimental results demonstrate increase of 37% and 195% for 2wt% of SiC dispersed in epoxy matrix in tensile strength and elastic modulus, respectively. An addition of 2wt% of G shows an improvement of 85% and 32% in strength and modulus, respectively. For nanoparticle infusion of 3wt% of Al2O3, enhancement of 132% and 200% in strength and modulus are yielded. A synergistic effect is concluded between particles of G and Al 2O3. In this mixture, the maximum strength (56.6 MPa) is recorded at a G to Al2O3 ratio of 2:1. Likewise, a maximum enhancement in elastic modulus of 82% with respect to neat epoxy is recorded (0.84 GPa).
The Ameliorative Effect of Aqueous Leaves Extract of Acalypha wikessina on Carbon Tetrachloride Induced Hepatoxicity in Wistar Albino Rats

The major functions of the liver can be detrimentally altered by liver injury emanating from chronic or acute exposure to toxicants. The hepatoprotective activity of the aqueous extract of leaves of Alcalypha wilkensiana against carbon tetrachloride (CCl4)–induced toxicity in albino wistar rats was assayed. Activities of liver enzyme markers (ALT, AST, ALP, Bilirubin, total protein, albumin and globulin) were determined colorimetrically using standard kits. The analyses were carried out on a total of 25 albino rats of both sexes divided into 5 groups of 5 rats in each. Group 1 served as normal control (NC), which received food and water only throughout the period. Group 2 served as the intoxicated control group (IC) or the (CCl4) group, which received food and water ad libitium and carbon tetrachloride (0.2 ml/kg in liquid paraffin 1:1 on day 7. Group 3, served as the intoxicated test group (IT) that received food and water ad libitium, aqueous extract of Acalypha wilkensiana (AEAW) 100mg/kg and carbon tetrachloride(0.2ml/kg in liquid paraffin 1:1 on day 7 . Group 4, received food and water ad libitium, aqueous extract of A. wilkensiana (100 mg/kg ). Group 5, received food and water ad libitium, Silymarin (50 mg/kg) and Carbon tetrachloride (0.2 ml/kg in liquid paraffin 1:1 on day 7 . Data obtained were analyzed using SPSS software. Carbon tetrachloride (CCl4) induced toxicity resulted in liver damage which showed in the elevation of serum enzyme activities-Aspartate amino transferase(AST), Alanine amino transferase (ALT) and Alkaline phosphatase (ALP). There was also significant increase in total protein compared with normal control animals. Pre-treatment with aqueous leaves extract of Acalypha wilkensiana prevented those biochemical alterations. Hence, A. wilkensiana aqueous leaves extract can be used as a hepatoprotective agent.
Design o f “ 32 ” Point Split Radix b ased Multipath Delay Commutator FFT Architecture for Low Power Applications

FFT is used in Modern high speed signal processing application. In aforementioned technologies that tends to operate in various operational modes. To implement FFT obviously it not only needs to meet high throughput demand and also it needed to scalable cater selectable N point FFT. Our contribution to this paper is two-fold of our existing method, as proposes for the split radix using Multipath Delay Commutator (MDC) algorithm has the least complex design and less multiplications comparing to radix-2 algorithm. So that it can able to reduce power consumption and area than our existing work. The implementation of power efficient hardware of split radix FFT (SRFFT) is built up by pruning excessive computation. Leveraging this potential, a new architecture of a configurable SRFFT processor is first developed so that unnecessary computations, which yield zeros at the output, are pruned. Simulations show that maximum power saving of around 20% is achieved. The proposed algorithm consists of mixed radix butterflies, whose structure is more regular. It has the conjugate-pair version, which requires less memory.
Use of Mannan- Oligosaccharides (MOS) As a Feed Additive in Poultry Nutrition. J. World Poult. Res., 7 (3): 94-103.;

Department of Animal Nutrition, College of Animal Sciences and Technology, Northwest A&F University, Yangling 712100, China Department of Poultry Science, Institute of Animal and Dairy Sciences, University of Agriculture, Faisalabad, Pakistan 3 Faculty of Veterinary and Animal Sciences, Lasbela University of Agriculture, Water and Marine Sciences, 3800, Uthal, Balochistan, Pakistan Department of Poultry, Faculty of Agriculture, Zagazig University, 44511, Zagazig, Egypt Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt Department of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran * Corresponding author’s Email: muhammad.saeed@nwafu.edu. cn Received: 09 Jul 2017 Accepted: 14 Aug 2017 ABSTRACT
Impact of Education and Income on Health Status of Households in a Socially Backward District of Kerala: A Study of Tanur Panchayath

There is a baronial and persistent relation between education and health. Education and Health of people is the positive sign of socio-economic and human development of a nation. It has also been rightly recognised that the improvement in the quality of human resources, by way of education and health, contributes not only to economic development, but also to the general well being of the nation. Kerala has received worldwide attention on account of its remarkable achievements in the field of education and health. Generally Keralites are more health conscious and the percentage of health insured people is increasing in the state. Now-a-days, Kerala state is badly affected by almost all diseases which were tactfully checked around the world. The low mortality and high morbidity syndrome in Kerala’s health situation is a live topic subject to analyses. This situation creates some serious doubts about the positive correlation between education and health indicators. This study tries to analyse the influence of education and income on health status of people. This study is based on both secondary and primary data. For analysis, the simple statistical tools like percentages, tables, graphs, and the other methods like indexing, correlation, simple and multiple regressions, hypothesis testing tools were used. The regression result of Aggregate Health Index and Education is AHI= 5.05 + 0.553YEdnI, shows that one year of education will make 0.553 unit changes in Aggregate Health Index on average and 27.1% of variation in aggregate health index is due to education. The regression result of aggregate health index with income is AHI = 10.3 +0.000105MY, exhibits positive relation between them. The Multiple regression of Aggregate Health Index with education and income is AHI = 5.50 + 0.450YEdn + 0.000067MY. This study reveals that education and income will make positive significant impact on health of people. Since education makes positive impacts on health, it is necessary to provide the access of education to each and every individual irrespective of the caste, creed or area.
Energy Saving by Direct Utilization of Solar Energy forManagement and Control of Power Supply

A supply from renewable energy source is need to be directly utilized for its maximum power extraction. A system of management and control of power supplies from renewable (solar) and conventional (mains) energy sources is proposed, where both supplies are managed in such a way that supply from solar is used to control the supply from mains in an inversely proportional manner so that resultant additive output from both sources should be remain balanced in order to draw maximum power from solar. A natural deviation in solar energy is utilized to alter the mains supply by using microcontroller based control unit and remaining supply after alteration is compensated again from solar energy. The resultant additive supply from both sources keeps the balanced physical output from electrical load. This supply management technique of controlling one supply using another is a way towards energy saving by direct utilization of solar energy.
RISK OF OSTEOPOROSIS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE *Dr

The study was conducted on 2 groups including patients group and control subjects group at the outpatient clinic of Ibn Sina teaching hospital in Mosul during the period between 1/11/2010 and 1/5/2011. The first group consists of 53 patients with chronic obstr and the second group consists of 53 apparently healthy denied respiratory symptoms were kept as control group. there is an increase in the matched control subjects, and the correlation of osteoporosis to various degrees of disease severity. All the study groups were subjected to assessment of medical and drug history, weight and height to derive body mass index, pulmonary function testing, biochemical tests, and dual energy X have a significantly increased risk of osteop subjects, 22(41.5%) versus 11(20.7%), respectively. The risk of osteoporosis was significantly different after stratification for Global Initiative for Chronic Obstructive Lung Disease patients with osteoporosis did not receive pharmacological treatment. Age, body mass index, menopausal duration and forced expiratory volume in 1 second (FEV1) % predicted were significant independent correlates for osteoporosis.
Information Retrieval System Based on Rough Fuzzy Set

Based on rough sets, fuzzy set theory gives a model of information retrieval. "Contains" relationship reflects a match between the set of documents and user queries using fuzzy set theory, and its inclusion degree to achieve the sort of document sets of search results. The use of rough set equivalence relation reflects the correlation between keywords, achieve synonyms retrieve. Compared with the traditional rough set model, the model represented the right weight of the document sets. Through user query mode, it gives the interest of each keyword. It improved information recall and precision.
An Unusual Case of Pyomyositis in a Neutropenic Patient with Acute Myelogenous Leukemia

Pyomyositis, a purulent infection of the skeletal muscle, is a rare condition that historically was seen in tropical climates in individuals with a recent history of muscular trauma. Recently, Escherichia coli pyomyositis has been recognized as a distinct clinical entity occurring with near exclusivity in the hematologic malignancy patient. Mycobacterium tuberculosis (TB) is a rare cause of pyomyositis in the United States and can arise in immunocompetent as well as immunocompromised hosts. Because of the relatively indolent presentation of this condition, a high degree of suspicion should be maintained when a patient in the appropriate population (Examples: neutropenic, on immunosuppressive drugs) presents with non-specific yet localized musculoskeletal pain. We report a unique case of pyomyositis due to E. coli and MTB arising in a patient with prolonged neutropenia secondary to refractory acute myelogenous leukemia (AML) and summarize the available literature on this rare disease.
The Role of Macroeconomic Variables in Sovereign Risk

The sovereign debt market has gathered a lot of attention post the global financial recession therefore it is very important to study how the countries of the eurozone countries can be shielded from all internal and external risks. This can be achieved by examining the macroeconomic determinants of the sovereign risk. Based on the results of the panel regression, it becomes evident which financial indicators are contributing to the sovereign risk. In terms of the stochastic properties, when homogeneity is assumed among the cross-sectional units, all the variables appeared to be level stationary except for the total government bond yield. However, when heterogeneity is assumed among the countries, variables such total government bond yield, GDS as a percentage of GDP, total credit to private sector, employment as a ratio to total GDP, and bank credit are level none stationary. Consequently, these findings will help identify the variables that can be used to approximate the movement of the government bond yield.
Selection and ranking of perceived risk associated with mobile banking in West Africa. An AHP Approach from customers’ perspective

Mobile Banking acceptance and usage has grown in recent times in most economies; however the risk and loss of privacy in the security system are part of the main issue discussed so far. Furthermore, in the high risk nation where there is the need to use mobile phone for banking transaction, the use of M-Banking and the benefit derives from it may be quiet perceived differently. Previous research that analyzed adoption of M-banking focused on specific area or particular point of analysis not really the current situation of the countries and the service providers. Many countries in West Africa are facing war and vulnerability by terrorism attack. Thus, how the risk related to the adoption of M-Banking might be perceived and evaluated needs to be examined. The major point of this study is to identify and prioritize the key perceived risk factors from consumer’s point of view. Allowing to rate these factors as critical aspect that can improve customers’ adoption of M-Banking and help the banks to provide more favorable and reliable operation system service for their customers. We use AHP (Analytical Hierarchy Process) based on MCDM (Multi-Criteria Decision Making) to evaluate and rank the different factors that contribute to impact the adoption of M-Banking in the view of Perceived risk. The findings suggest that regardless of the impending danger, the mobile banking users who were assessed, perceived the benefit resulting from use as being important and care more about their financial risk situation especially with financial loss as alternative than others. Certainly, West African Countries educated citizens accept new technologies such as mobile banking and try to cope with today’s development in technologies following the developed countries.
Implications for Dairy Cattle of Modern Technological Advances (II) Physiological and Behaviour Monitoring Technology

In an industry as highly competitive as agriculture, the perpetually increasing pressure to produce cheaper sources of protein is further suffocating already meagre profit margins. In the past decade, in particular, a surge in the number of commercially available precision-farming products, utilising technologies common to the research sector are helping some farmers transform their business operations. Wearable technologies have become commonplace on farms looking to gain a competitive edge. Cow collars, anklets, smart ear-tags and indwelling rumenboluses take advantage of low-cost, mass-produced sensor components to offer multi-faceted health-monitoring solutions. Accelerometers monitor animal movement, gyroscope sensors record ruminal contractions, ion-sensitive glass electrodes track fluctuations in rumen pH, thermistors and thermocouples register temperature and Bluetooth or radiotelemetric elements transmit data to receiver stations which push data up to the cloud for analysis, interpretation and translation into useable information for clients. In addition, with continued research into the use of infrared-thermography, along with computer-vision and artificially intelligent machine-learning technologies for use in animal health monitoring and biometric analysis, it is likely that we will continue to see an increase in monitoring technologies of an even less-invasive nature.
Enhancement of Iron Absorption in Black Strap Molasses Using Vitamin C-an Invitro Study

Blackstrap molasses is the black viscous liquid obtained as a byproduct from the third boiling of the sugar syrup of sun ripened sugarcane. Beet molasses and black strap are two major waste streams of the sugar industry. In comparison to refined sugar it is a concentrated source of nutrients. Apart from sugars like glucose, fructose, and sucrose it contains minerals and some water soluble vitamins. This natural vegetarian food source is rich in iron content and devoid of oxalates. Iron is an important trace element for the production of hemoglobin and helps to maintain healthy RBC which is vital for oxygen transport. Black strap molasses contain high amounts of sucrose and minerals making them suitable substrates of nutritive value. A comparative invitro study on black strap, with 100 μg and 200 μg of vitamin c doses in enhancement of iron absorption at various time intervals was conducted. The results of the study indicated that the level of iron absorption was enhanced with both the doses of vitamin C at 15 minutes interval.
A Framework for Disease Risk Prediction

- The big amount of information development in biomedical and healthcare companies, precise medical information analysis benefits from early identification, patient care, and community facilities. If the quality of medical information is incomplete, the precision of the assessment will be decreased. Different areas have distinctive features of certain regional illnesses, which may weaken the prediction of disease outbreaks. A neural network based disease risk prediction system proposed. The classification is done by using convolutional neural network. In the disease risk prediction model the class labels are identified based on the training set. Using convolutional neural network, disease prediction system to effectively predict the type of disease. The disease prediction system gives improved accuracy.
Fake Image Detection by Illumination Color Classification

— As images can fetch more information than words, most of the people are dependent on them for communication and use them as powerful evidence in courts and media companies. Nowadays, however, advanced image processing tools and graphical editing techniques makes it easier to edit and modify the digital image. This diminishes our trust in photographs and objects pictures as evidence for real world concept. To maintain the authenticity that the image is not a mixed or spliced image, this paper proposes a new method of detecting digital image forgeries using illumination color classification. Image splicing is a common type of image manipulation operation. To maintain the consistency of the image as well as identifying the areas of manipulation on images without the need of an external support or human process image contents is now days becoming the challenging research problem. In this paper, we are concentrating on authenticity of images that are based on concept of using illumination color estimation. To achieve this, illuminant color is calculated using the physics based method as well as statistical based edge method on similar image region. The estimate of illuminant color is extracted individually from the different face and non-face regions of the image. For the classification performance Support Vector Machine (SVM) approach is used. This technique yields maximum detection rates of 86%.
A Novel Technique for Power Generation in Traction System Using Renewable Source

Presently increasing use of renewable sources replaces the use of fossil fuels like coal, oil and natural gas. Conventional energy sources are altered by renewable energy sources in almost all the areas, wherever it can be applicable. Wind energy is treated as one type of investment due to its several advantages such as low running cost, greater life span and so on. Due to the use of such type of renewable energy source, power generation by conventional sources can be reduced. Here a novel technique is demonstrated specifically for traction system. In traction systems, ample amount of energy is used to drive an engine and also provide ac as well as dc power to operate the lighting scheme of a train. So here power required for lighting can be generated using a roof top wind turbine which will be mounted on the train coach. In this paper a new technique is implemented for design of shaft and turbine blade so the additional energy saved due to the use of wind turbine can be utilized for areas which are less electrified. The mathematical calculation is compared with the hardware results. Here, an attempt is made to reduce the loading of grid compared to existing system.