Miracle-dz/UniFAR-FTUs huggingface dataset:
Balance of Payments: Nigerian Experience: 1960-2012

The paper examined balance of payments: Nigerian Experience: 1960-2012 using time series data from 1960-2012. The study explored secondary data from the Central Bank Statistical Bulletin for the period of 1960 to 2012 and used various econometric analyses and/or statistical analytical (Eview 7.2) method to examine the relationship between balance of payments and economic growth. The paper tested the stationary—through Group unit root test. The co-integration technique employed in this study is [19] approach in assessing the co-integrating properties of variables, especially in a multivariate context to determine the long-run relationship among the variables examined. Further effort was made to check the causality relationship that exists between the two variables by employing the Pairwise-Granger causality at one lag period. From the result of Original Research Article Shuaib et al.; BJEMT, 7(4): 296-305, 2015; Article no.BJEMT. 2015.092 297 empirical findings, it was discovered that in Table 3 there was unidirectional from RGDP to BOP, EXCH, EDR, and from EDR to FTD and bidirectional causality only between EDR to EXCH. The paper however recommended that among others the government should encourage the exportation of non-oil goods into world market, that the revenue from the oil is diversified into other viable aspect of the economy, that policies (such as monetary or fiscal) are put in place to check balanceof-payment deficits, inflation rate should be maintained at single-digit level to enable the private investors to have a conducive atmosphere for production of goods for export, and also reduce the external borrowing tendencies, even when borrowed should be utilized on mega or capital projects that have multiplier effect in the economy.
Error Correction & OLS Code using Ced

In advanced electronic circuits the reliability has been a major concern. There are number of mitigation techniques proposed to make sure that the errors do not affect the circuit functionality. Among them, to protect the memories and registers in electronic circuits Error Correction Codes (ECC) are commonly used. Whenever any ECC technique is used, the encoder and decoder circuit may also suffer errors. In this brief, concurrent error detection and correction technique for OLS encoders and syndrome computation is proposed and evaluated.
Urinary Fractional Clearance of Sodium in 8 Healthy Beagle Dogs Fed Normal, Low, or Ultralow Sodium Diets

The purpose of this study was to investigate in healthy adult dogs if there was a daily fluctuation in the FCNa, the role that dietary sodium intake played on the FCNa, and the role that feeding played on the obtained value for FCNa. Three different diets were used in a group of 8 healthy beagle dogs in a crossover design. The sodium content of the diets was normal (0.26%), low (0.18%), and ultralow (0.06%). Spot urine and blood samples were collected from which the urine and serum sodium and creatinine concentration were determined, and the FCNa was calculated. The median FCNa for the normal, low, and ultralow sodium diets was 0.5, 0.77, and 0.15, respectively. Individual dogs showed a daily variation in FCNa, and samples which were collected shortly after eating showed the greatest variation. This study showed that in a group of healthy beagle dogs without obvious renal disease, the FCNa could exceed 1 and that there was both an individual and daily variation in the FCNa. The greatest variation was seen whilst the dogs were fed the low and ultralow sodium diets and when the samples were collected shortly after eating. This study concluded that an FCNa > 1% may not be indicative of acute tubular dysfunction in young dogs, and use of the FCNa for assessing renal function in clinical cases should take into account the animal's diet, as well as the time the samples were taken in relation to feeding.
Intravenous Acetaminophen : Assessment of Medication Utilization Evaluation Data in Peri-operative Pain Management

The objective of this review is to provide a brief overview of the therapeutic profile of intravenous (IV) acetaminophen, to summarize appropriate use criteria for the parenteral route of the drug, and review methodologies and results of IV acetaminophen medication utilization evaluations (MUEs) that are available in the public domain. Based on methodological problems that have been identified in many IV acetaminophen MUEs, recommendations will be provided concerning the standards of conduct of scientifically optimal MUEs for IV acetaminophen in the peri-operative setting, including a template for data collection as part of an appropriate MUE for IV acetaminophen.
Effects of Calliandra and Sesbania on Daily Milk Production in Dairy Cows on Commercial Smallholder Farms in Kenya

There is a growing interest in protein supplementation of dairy-cow diets using leguminous shrubs. The study objective was to ascertain the association between diet supplementation with Calliandra calothyrsus and Sesbania sesban and milk production in dairy cattle on commercial smallholder farms. This trial involved 235 cows from 80 smallholder dairy farms in Kenya randomly allocated to 4 intervention groups: (1) receiving Calliandra and Sesbania and nutritional advice; (2) receiving reproductive medicines and advice; (3) receiving both group 1 and 2 interventions; and (4) receiving neither intervention. Farm nutritional practices and management data were collected in a questionnaire, and subsequent physical examinations, mastitis tests, and milk production of cows on the farm were monitored approximately monthly for 16 months. Descriptive and univariable statistical analyses were conducted, and multivariable mixed-model regression was used for identification of factors associated (P < 0.05) with daily milk production. The mean milk production was 6.39 liters/cow/day (SD = 3.5). Feeding Calliandra/Sesbania to cows was associated (P < 0.0005) with an increase in milk produced by at least 1 liter/cow/day with each kg fed. Other variables positively associated with ln daily milk production in the final model included feeding of Napier grass, amount of silage and dairy meal fed, body condition score, and appetite of the cow. Other variables negatively associated with ln daily milk production in the final model included amount of maize germ fed, days in milk, sudden feed changes, pregnancy, and subclinical mastitis. In conclusion, our field trial data suggest that use of Calliandra/Sesbania through agroforestry can improve milk production in commercial smallholder dairy farms in Kenya. Agroforestry land use systems can be adopted as a way for dairy farmers to cope with feed shortages and low crude protein in farm-available feeds for their cows.
Teaching English Rhythm by Using Songs

Songs become the most valuable educational tool that aids the language acquisition as well as the whole learner’s physical and mental development. In this paper, attention is given to rhythm of English under the subtopics: definitions of rhythm and its related theory to metrical phonology. Rhythm teaching is dealt with perspectives on its importance in communication, significance as well as its obstacles. In the same way, theories and research supports for the use of songs in the classroom are also reviewed.
Relationship between Early Maladaptive Schemas and Coping Styles with Stress. J. Life Sci. Biomed. 4(6): 570-574

This study aimed to investigate the relation between early maladaptive schemas and checking strategies, has examined 150 women aged between 20 to 30 years. Young schemas questionnaire and coping styles questionnaire are used for collecting information, also pearson correlation coefficient and multiple regression are used for analyzing data. Findings showed that there is a significant negative correlation between abandonment, social isolation, Approvalseeking/ Recognitionseeking, emotional deprivation, subjugation, defectiveness, failure schemas, and problem-focused coping styles, and there is a positive significant correlation between types of schemas and emotion-focused coping styles. Also there is a significant negative correlation between punitiveness schemas and avoidant coping. According to findings of multiple regressions, the only variable which had the predictive power of problem-focused coping styles was defectiveness schema, vulnerability to harm and illness, punitiveness and unrelenting standards schemas have significant role in predicting emotion-focused style, and finally, only the unrelenting standards schema have an affective role in avoidance style predictive model.
Clinical Efficacy and Safety of Major Uterine Wall Resection and Reconstruction of the Uterus Combined with LNG-IUS for the Treatment of Severe Adenomyosis

Objective Aim of the study was to evaluate the clinical efficacy and safety of major uterine wall resection and reconstruction of the uterus (MURU) combined with a levonorgestrel-releasing intrauterine system (LNG-IUS) for the treatment of adenomyosis. Methods Ninety patients diagnosed with adenomyosis were enrolled in this study. All participants were examined by transvaginal ultrasound (TVU) or magnetic resonance imaging (MRI). Serum levels of cancer antigen 125 (CA 125) were quantitatively measured. All patients underwent MURU in combination with LNG-IUS. The therapeutic safety of MURU was assessed during surgery and the patientsʼ stay in hospital. The clinical efficacy was evaluated by comparatively analyzing changes in dysmenorrhea, volume of menstrual blood, uterine volume and serum levels of CA 125 before, and at 3, 6 and 12 months following MURU. Results All 90 patients enrolled in the study were successfully treated with MURU combined with LNG-IUS. No significant complications were observed during surgery and hospital stay. The mean operation time, intraoperative blood loss and length of hospital stay were 82.4 ± 13.8 min, 53.3 ± 20.3 ml, and 4.3 ± 0.8 days, respectively. Dysmenorrhea completely disappeared in all patients. Uterine volume and serum levels of CA 125 were restored to normal ranges. No recurrence of adenomyosis was observed during postoperative follow-up. Conclusion MURU combined with LNG-IUS is an efficacious and safe treatment for severe adenomyosis. This combined technique is not only effective to manage severe adenomyosis but also preserves as much of the uterus as possible.
Real-Time Face Detection Security System Haar Classifier Method

Face Detection is concerned with finding whether or not there are any faces in a given images. Security and surveillance are the two important aspects of human being. Face detection is very important because it is not being safe in human environment. So, F Detection Security System is essential between individual in life. In the modern world everything is changed to provide a better life. So we were decided to develop the Real Time Face detection system. The importance of the face detection as it is esse surveillance and real user interfaces security to the country. Face differ in skin colour, nose, eyebrows, chin between different people in humanity. In this paper we effort is to develop system about face detection security system in the real time.
HIGH PERFORMANCE SEQUENCE MINING OF BIG DATA USING HADOOP MAPREDUCE IN CLOUD

Text mining can handle unstructured data. The proposed work extracts text from a PDF document is converted to plain text format, then document is tokenized and serialized. Document clustering and categorization is done by finding similarities between documents stored in cloud. Similar documents are identified using Singular Value Decomposition (SVD) method in Latent Semantic Indexing (LSI). Then similar documents are grouped together as a cluster. A comparative study is done between LFS (Local File System) and HDFS (HADOOP DISTRIBUTED FILE SYSTEM) with respect to rapidity and dimensionality. The System has been evaluated on real-world documents and the results are tabulated.
INTERACTIVE IMAGE SEGMENTATION BASED ON HARMONIC FUNCTIONS & RECONSTRUCTIONS

— This paper gives idea GRF functions instead of a graph-based algorithm for interactive image segmentation. Specifically, given a 3 X 3 local window, the colour of each pixel in it will be linearly reconstructed with those of the remaining eight pixels. The optimal weights will be transferred to linearly reconstruct its class label. This treatment is largely motivated from the manifold learning algorithm of locally linear embedding. But beyond LLE where only one data point is reconstructed in each given data neighbourhood, it will reconstruct all the pixels in each spatial window. In this process, the label reconstruction errors are estimated. The information about the user-specified foreground and background is introduced into a regularization framework. The segmentation task is finally solved via global optimization.
In Human Breast Cancer Cells TRβ Competes with ERα for Altering BCl2/Bax Ratio through SMP30-Mediated p53 Induction

The development and growth of many human cancers including breast cancer are known to be influenced by steroid hormones [1,2]. Abnormal responsiveness of the cells especially to estrogen hormone has been a major cause of breast cancer development and progression [3]. Therefore better understanding and manipulation of the endocrine milieu may provide effective palliative treatment for patients with hormone-dependent cancers [4-6]. Thyroid hormone and estrogen share a common signaling pathway in regulation of proliferation and growth in the target cells, including cancer cells. So the aberrant signaling by these hormones needs to be evaluated in terms of regulated growth of normal cells vs. cancer cells.
IMPROVING QOS FOR D2D COMMUNICATION IN 5G SCENARIO

— D2D communication motor-assisted by a cellular network brings the advantage of the proximity of wireless devices to boost reusing resources between D2D and cellular UEs, and imparts any rewards of hop gain. 3GPP started a study item on proximity-based services in D2D. SAE design for a D2D network, which incorporates the core and access, the protocol stack for D2D communication and completely different readying situations, style aspects of D2D communication, power management and channel measuring ways in D2D communication and completely different building blocks for D2D communication that are obligatory whereas fitting the D2D session, and, additionally, expands on the utilization cases, business, and opportunities of applications that exist. These days we’re usually told that frequency spectrum is scarce. However is it extremely or is spectrum inadequacy associate degree illusion? the various techniques that create the spectrum abundance model doable, and description a high level design of such a wireless mobile network. The implementation models a distributed cooperative overlay network for spectrum exploration and exploitation. Finally it lists the main use cases or work to be done to form this implementation model or spectrum usage on the far side 5G in follow. Device-to-device (D2D) communications are 2 promising paradigms for 5G networks. The proximity of users in D2D guarantees vast information rates, low latency, and reduced power consumption for that we tend to propose new design having tiny size and better QoS.
INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN ENGINEERING AND TECHNOLOGY

: Image inpainting is a technique used to automatically recover the damaged or missing regions in digital images or used to remove the unwanted scratches from images. In this paper we propose three techniques: Median Inpainting based technique, Gaussian Pyramidal Technique and Local Binary pattern based Image Inpainting Technique. This work presents simple and unexplored inpainting techniques which achieves better results in terms of both visual and analytical quality. These techniques are inherently stable and converge. The proposed algorithms are based on propagating median values and LBP values of pixels from exterior into the inner area to be inpainted. Results show remarkable improvements in terms of PSNR values
COMPARISON OF PROTECTION ARCHITECTURES AGAINST LINK FAILURES USING PRECONFIGURED CYCLES

: In optical mesh networks, 1: N protection has been deployed by p-Cycles. Even though, the protection circuits are preconfigured, it takes long time for the detection of failure and the rerouting of traffic. Another mode of operation to attain survivability is 1+1 protection scheme, where the signal is transmitted on two links to destination; it results in a faster recovery from link failure. In this paper, a concept of 1+N protection is examined with the help of p-Cycles which protects a number of bidirectional connections, that are mutually link disjoint and the comparison is made for the above three protection techniques. Network coding combines data units from different circuits and it can be implemented in SONET, MPLS/GMPLS or IP-over-WDM.
Evaluation of the Incorporation of Sheep Manure on Pasture Panicum Maximum Cv Tanzania in a Silvopastoral System

Feeding cattle during different times of the year is one of the problems facing the producer, because forage production is seasonal and dependent on the rainfall; In addition, producers do not have sufficient management techniques and forage conservation, economic resources and infrastructure that allow them to maintain sustainable productivity [2]. One of the most obvious characteristics of the grazing areas is the high degree of soil deterioration that is associated with reduced forage production and short shelf life, lowering levels of productivity and increasing costs for recovery of grasslands, the low nutritional value of pastures is one of the limiting factors in tropical regions, mainly due to the pasture inadequate management.
The Phytotoxicity of Meta-Tyrosine Is Associated With Altered Phenylalanine Metabolism and Misincorporation of This Non-Proteinogenic Phe-Analog to the Plant's Proteome

Plants produce a myriad of specialized (secondary) metabolites that are highly diverse chemically, and exhibit distinct biological functions. Here, we focus on meta-tyrosine (m-tyrosine), a non-proteinogenic byproduct that is often formed by a direct oxidation of phenylalanine (Phe). Some plant species (e.g., Euphorbia myrsinites and Festuca rubra) produce and accumulate high levels of m-tyrosine in their root-tips via enzymatic pathways. Upon its release to soil, the Phe-analog, m-tyrosine, affects early post-germination development (i.e., altered root development, cotyledon or leaf chlorosis, and retarded growth) of nearby plant life. However, the molecular basis of m-tyrosine-mediated (phyto)toxicity remains, to date, insufficiently understood and are still awaiting their functional characterization. It is anticipated that upon its uptake, m-tyrosine impairs key metabolic processes, or affects essential cellular activities in the plant. Here, we provide evidences that the phytotoxic effects of m-tyrosine involve two distinct molecular pathways. These include reduced steady state levels of several amino acids, and in particularly altered biosynthesis of the phenylalanine (Phe), an essential α-amino acid, which is also required for the folding and activities of proteins. In addition, proteomic studies indicate that m-tyrosine is misincorporated in place of Phe, mainly into the plant organellar proteomes. These data are supported by analyses of adt mutants, which are affected in Phe-metabolism, as well as of var2 mutants, which lack FtsH2, a major component of the chloroplast FtsH proteolytic machinery, which show higher sensitivity to m-tyrosine. Plants treated with m-tyrosine show organellar biogenesis defects, reduced respiration and photosynthetic activities and growth and developmental defect phenotypes.
An Analytical Study on Early Diagnosis and Classification of Diabetes Mellitus

Diabetes mellitus (DM) is a chronic, general, life-threatening syndrome occurring all around the world. It is characterized by hyperglycemia occurring due to abnormalities in insulin secretion which would in turn result in irregular raise of glucose level. In recent years, the impact of Diabetes mellitus has increased to a great extent especially in developing countries like India. This is mainly due to the irregularities in the food habits of several IT professionals. Thus, early diagnosis and classification of this deadly disease has become an active area of research in the last decade. A number of techniques have been developed to deal with his disease. Numerous clustering and classifications techniques are available in the literature to visualize temporal data to identifying trends for controlling diabetes mellitus. This survey presents an analytical study of several algorithms which diagnosis and classifies Diabetes mellitus data effectively. The existing algorithms are analyzed thoroughly to identify their advantages and limitations. The performance evaluation of the existing algorithms is carried out to determine the best approach. A best approach among the existing approach is determined and a solution is also suggested to improve the overall performance of diagnosis process.
Application of Genetic Programming for Pattern Recognition

: Genetic programming combines and extends discrete decision theory with the principles of genetic and natural selection. The programs may be in the form of decision trees or diagram. The decision trees and diagrams are used in many discipline, genetic programming has many applications. Among those applications is pattern recognition. Different genetic programming techniques exist. This section describes a general technique for programs that use mathematical function. A function is routine that take one or two arguments, performs some function and returns value. The arguments with the routine are also functional routines, the resulting programs is like a tree in which each node represents a functional routine and each subtree an argument. Genetic programming with subtree crossover technique will be used that evolves a population over much iteration until some termination is satisfied. During each iteration the existing population is replaced by a new population that is derived from the existing population. The primary operations of reproduction and crossover are used for all problems. The two operations were sufficient for most of the problem to which the technique was applied in
Computer Vision based Intelligent Lane Detection and Warning System: A Design Approach

– In Intelligent Transport System (ITS), prevention from accident is one of prominent area of research in which various approaches are implemented and proposed to assist and warn driver from accidents. As a part of warning system lane departure technique is widely considered, that monitor vehicle’s movement , and warn driver before lane departure which will prevent driver from head on collision. Hence it’s a matter of motivation for developing such a system which can detect lane marks on road and warn driver on any conditions. Due to variety of availability of tools and techniques, several methods where proposed by different authors which are discussed in this paper with their pros and cons that will help us to decide better one according to one’s specific conditions or need
A Survey on Visual Object Tracking: Datasets, Methods and Metrics

: Object detection and tracking is an important and challenging task in many critical computer vision applications such as automated video surveillance, traffic monitoring, autonomous robot navigation, and smart environments. Object tracking can be defined as the process of segmenting an object of interest from a video scene and keeping track of its motion, orientation and occlusion to extract useful information. Several object tracking methods have been proposed in the past two decades aiming to design a robust object tracker addressing all the practical challenges in the real work. The goal of this paper is to review the datasets, methods, and metrics available in the literature for developing a robust visual object tracker. Particularly, we present the details about five publicly available datasets, twenty object tracking methods, and three metrics for comparing the performance of the visual object tracking systems.