Miracle-dz/UniFAR-FTUs huggingface dataset:
Spacing Effects for Face Recognition as a Function of Study-Phase Retrieval: Divided Attention and Age as Criteria for Automaticity. OA J Behavioural Sci Psych 2018, 1(1): 180001

The spacing effect for the recognition of face-name pairs, faces and names was explored in Experiments 1a (focused attention) and 1b (divided attention). A lag 7 advantage was found across stimulus type under focused attention. When a tone monitoring task was introduce to divide attention, a robust spacing effect was found for faces, which was attenuated for face-name pairs but lost for names. Under focused attention involuntary processing for facial stimuli and voluntary processing for verbal (names) items accounted for the lag 7 advantage. When attention was divided, however, involuntary processing in the guise of study-phase retrieval remained unaffected explaining why a lag 7 advantage occurred for facial stimuli. Voluntary processing was prevented under divided attention which is why the lag 7 advantage for names was lost and attenuated for face-name pairs (the poor recognition performance for names was responsible for this). Another criterion which does not interfere with involuntary processing is age across the lifespan. In Experiment 2 a lag 7 advantage was explored for face recognition in a cohort of elderly adults. A robust spacing effect was found although face recognition performance decreased in comparison to younger adults tested in Experiment 1a. The contention that perceptual repetition priming is responsible for the lag 7 advantages incurred in face recognition was explored in Experiment 3a by changing the facial pose (from full-face to 3⁄4 profiles or 3⁄4 profiles to full-face) across presentations during the learning phase. At test faces were either full-face or 3⁄4 profile poses. The lag 7 advantage was lost regardless of pose presented at test. It was assumed that participants were unable to ‘recognise’ the second presentation due to a structural change and therefore unable to process target repetitions. In Experiment 3b a forced repetition detection task was introduced during the learning phase. Despite detection, the lag 7 advantage remained lost. High detection scorers did not perform any better than low detection scorers. The division of low and high detection scorers showed that the spacing effect was independent of detection and recognition performance. Moreover, in the case of recognition for faces, the spacing effect relies on perceptual repetition priming. When the structural content of the face is the same across presentations, study-phase retrieval operates and produces a robust lag 7 advantage. In the case of the names, deficient-processing best accounts for the spacing effects seen because when voluntary processing is prevented, the lag 7 advantage is lost.
Designing Over-Current Relay Logic in MATLAB

— Relays are being utilized for secure, reliable and convenient operation of power system. The Over-Current relay is widely used in the power system for protection of short circuit or wrong setting of system to the prespecified value. Erroneous setting of Over-Current relay in the power system causes difficulties in sending the trip signal. So it must be connected carefully in the power system. Therefore, it is important to accredit the setting of power protection equipment. This paper describes modeling of Over-Current relay logic to protect distribution system using Matlab/Simulink package. Sim Power System toolbox was used for detailed modeling of Over-Current relay, transmission line and fault simulation.
FUZZY BASED CT SCAN BRAIN IMAGE CLASSIFICATION

- In this paper a novel fuzzy rule based CT scan image classification system is proposed. Principle intends to propose this framework is to minimize rate of false detection. Mean and standard deviation of the image is utilized to planned the proposed framework and arrange the images into normal and abnormal. Proposed methodology is contrasted and twofold classifiers k-NN (k=1, 3, 5, 7) and SVM (linear, quadratic, rbf, mlp). The exploratory outcomes demonstrate that the proposed framework is effectively minimized the rate of false positive. The characterization exactness of k-NN is 94% where k=1. SVM (quadratic) and SVM (rbf) demonstrates 88% grouping rate. Classification rate for proposed framework is 89% and for improved methodology 92 % with less number of false detection pictures. Keyword--CT(Computed Tomography);k-NN(k-Nearest Neighbor);SVM(Support Vector Machine)
Visual Odometry with Reduced-Iterative Optimization Method for Automobile

 Abstract Background/Objectives: Visual odometry (vehicle motion estimation) is a fundamental technology for applications based on vision. Most applications require the latency to be very short. Methods/Statistical analysis: That is, it is necessary to reduce the computational load or the number of data points included in any calculation. However, this makes algorithms sensitive to noise, so most researchers have focused on methods to reduce their computational complexity instead. Findings: In this paper, we propose an improved visual odometry method for automotive applications. Generally, the optical flows of visual odometry algorithms have many outliers when applied to the automotive field; therefore, most approaches select N arbitrary points and then perform Random Sample Consensus. The error distance is calculated over the entire dataset, and inliers are selected based on a threshold. However, this increases the computational complexity, and the number of iterations required of this type of iterative execution over N points increases with N. Improvements/Applications: In this paper, we decrease this computational cost by improving execution time. Our method is a modification of the efficient perspective-N-point method, which uses four representative control points.
The Upper and Lower Body Aerobic Fitness of Semi-elite Rugby League

Objectives: The aim of this study was to measure the upper and lower body aerobic capacity of semi-elite Rugby League (RL) players. Methods: Twenty-two semi-elite RL players and 24 physically active but untrained men completed a maximal oxygen consumption test (VO2 max test) on a treadmill and electronic arm ergometer in a randomized order. Percent body fat was calculated from the sum of six skinfolds. Results: Lower and upper body absolute (P=0.03 and P=0.02 respectively) but not relative VO2 max was higher in the RL group compared to the control group. Upper body peak power (P=0.001), ventilation (P=0.05) and lactate concentration (P=0.03) were higher in the RL group compared to the control group. Maximum heart rate was lower during arm ergometry for both groups (P ≤ 0.001) compared to predicted and treadmill values. Conclusions: The results show that while semi-elite RL players have above average lower body aerobic capacity their upper body aerobic capacity is not well developed and similar to untrained men. Coaches and players need to implement separate and dedicated training programs to enhance the development of the upper body aerobic system in RL players. Upper body training should be based on maximal heart rate values achieved during upper body maximal testing.
Vitamin D Status and Autoimmune Disease (Hashimoto’s Thyroiditis) in Saudi Arabian Women

Recently, the role of vitamin D on autoimmune disorders has been investigated by several researchers. Hashimoto’s thyroiditis (HT) chronic inflammation is one of autoimmune disorders, caused by environmental and genetic factors that may lead to produce antibodies from immune system that attacked thyroid gland, however; causes are not yet completely understood. Objective: To examine the 25 hydroxy vitamin D (25(OH) D3) status in Saudi Arabian females with HT Saudi female. Subjects and Methods: A cross-sectional study was recruited 50 female patients diagnosed by HT aged 20 and above, from King Abdulaziz University Hospital in Jeddah, Saudi Arabia. Patients were on specific routine of LT4 medication for a minimum 6 months. Blood samples were collected to measure the levels of 25(OH) D3, thyroid stimulation hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4) and calcium. Results: Biochemical data revealed that mean values for vitamin D among the three vitamin D categories were significant (P<0.05). There was insignificant relationship between vitamin D and TSH, as well as between vitamin D and FT3 (r=0.147, r=0.148, P>0.05) respectively. In addition, there was insignificant negative correlation between calcium level and TSH, and FT3 (r= -0.121, r=-0.264, P>0.05), respectively. Although there was a significant relationship between BMI categories and vitamin D levels, the study observed that majority of obese patients had high percentage of vitamin D deficiency. Conclusion: There was no association between 25(OH) D levels and HT among Saudi Arabian women. However, significant difference was found between vitamin D status in patients having insufficient and sufficient level (P < 0.05).
Green Communications and Energy Efficiency

With the advancement of technology, there is a considerable increase in the usage of mobile phones and other telecommunication devices. Today we are in the development phase of building a Smart City. People want the technology to develop further because it has influenced their living. It is very difficult for a person to survive without using a mobile phone. In the earlier days, people used pigeons for communication. With the increase in technology many environmental problems arise because they consume power. CO2 emission has increased drastically during the last few years. CO2 emission leads to greenhouse effect which further leads to global warming. Energy efficient network technologies have to be developed which consume less power and produce a better Quality of Service (QoS). Renewable sources of energy can be used for power generation and the power generated can be effectively used by the base stations only during the active hours of the day. [1] Green communications should be implemented for the development of “An Eco-friendly Smart City”.
The effect of Knowledge Management on creativity and Innovation

Knowledge Management (KM) is required in any organization to accumulate and develop organizational information and it's Excellency since KM affects the organizational development and makes the various parts of that organization progress. The aim of this paper was to survey the effect of KM on creativity and innovation of Blusher city Education Organization. It was a descriptive-surveying research and its statistical population consisted of 200 staff working in Bushehr city education organization among which 132 persons were randomly selected based on clustering sampling method. Data were obtained via a researcher-structured questionnaire from the 132 selected persons. Findings, based on Pearson's Correlation Coefficient, showed that there would be a significant relationship between staffs' acquisition, accumulation and knowledge distribution with creativity and innovation whereas there would be no relationship between creating and keeping knowledge with creation and innovation. Also, the most mean of scales related to the creating of knowledge while the least one related to the accumulation of knowledge.
Optimization of Processing Parameters in Electrochemical Machining of AISI 304 using Taguchi Design Technique

31 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.  Abstract— Electro chemical polishing is a process by which metal is removed from a work piece by passage of electric current while the work is submerged in a specially-designed solution. This study investigate the effect of temperature, current, time and electrolyte composition on the surface characteristics and metal removal rate (M.R.R.) of austenitic stainless steel AISI 304 in phosphoric acid and sulphuric acid bath. In case of MRR, time was the most influential factor and then the relative influence decreases in the order current (I), temperature (T) and electrolyte composition (C). For Surface Roughness it was seen that temperature (T) being the most influential factor and current (I), electrolyte concentration(C) and time being less influential in the order they are mentioned.
An Efficient Approach from Iterative Learning Algorithm

:- A framework which takes into account machine learning for the analysis of massive datasets is proposed. The framework maps the algorithms to the respective platform so as to extract maximum resource efficiency. In addition, the framework takes into account a data projection technique called as Elastic Dictionary to form sparse representation of the underlying data. By this way, the resource efficiency is optimized leading to reduction in the cost associated with the performance. The framework represents a model and shows the performance metrics in accordance with their respective runtime and storage. An additional application program interface takes into account the applicability of the framework to the underlying platform or datasets. The framework is based on the union of both the content and platform aware methodologies so as to make the machine learning algorithms to utilize the resources efficiently .
Studies on efficacy of Biofertilizers for Nutrient Management in gladiolus

An experiment was conducted at Precision Farming Development Centre, Department of Horticulture and Biocontrol laboratory, Department of Microbiology, CCS Haryana Agricultural University, Hisar to study the efficacy of biofertilizers for nutrient management in gladiolus cv Advance Red with nine treatments replicated thrice under Randomised Block Design for two consecutive years. The treatments include 100% RDF using inorganic fertilizers and reduced levels of inorganic fertilizers (75% and 50%) in combination with three rhizobacterial strains of biofertilizers viz. Azotobacter chroococcum (Mac27), Pseudomonas strain (WPS73) and Phosphate solubilizing bacteria PSB (P36) individually and in combinations. The results revealed that application of Pseudomonas strain (WPS73) with 75% RDF followed by Azotobacter chroococcum (Mac27) with 75% RDF recorded early sprouting, days to spike initiation and growth parameters like per cent sprouting, plant height, number of leaves was recorded maximum. Further same treatments were found to be superior in enhancing quality parameters like spike length, rachis length, number of florets and floret diameter. However, incompatibility was observed in co-inoculation of Azotobacter chroococcum (Mac27) with Pseudomonas strain (WPS73), which resulted in complete mortality of plants when applied in combination. It was found that use of compatible biofertilizers was beneficial for growth and quality of gladiolus.
Contextual Features Based Naïve Bayes Classifier for Cyberbullying Detection on YouTube

— With the growth of the Web 2.0, online communication and video sharing websites has started emerging. This evolution on internet is now allowing users to share their information and collaborate with each other easily. In addition, video sharing websites are helping users to establish new connections between people and promote their views, ideas etc. As a result, various malignant users are getting at-tracted towards these social networks. Among several video sharing websites (with social networking features), YouTube is the most popular & widely used website. Due to anonymity of content uploaded and low publication barriers, YouTube is misused by some users as a platform to post videos promoting cyberbullying, harassment and online abuse. In this research work, we employ a Naïve Bayes Classifier to identify cyberbullying and misdemeanor videos, users on YouTube by mining video metadata. We frame the problem of YouTube cyberbullying detection as a search problem. We conduct study of training dataset by downloading considerable videos & related discriminatory features using YouTube API. Our evaluation of performance results on test dataset reveal that accuracy of proposed approach is more than 67% which significantly demonstrate the effectiveness of the proposed approach.
Applications of Data Mining in Fraud Detection

- It comes as no surprise to learn that from an economic standpoint, fraud continues to be a growing concern for organisations of all sizes, across all regions and in virtually every sector. A 2014 survey shows that 5% of the losses at an organization can be attributed to fraud, which applied to the Gross World Producttranslates to a projected global fraud revenue loss of nearly $3.7 trillion. [1] Due to ever increasing volume of data that needs to be analysed in order to detect these frauds, data mining methods and techniques are being used with increasing frequency in this domain. This paper is aimed at providing an expansive literature review of journal articles produced between 2008 and 2015 to demonstrate the extensive research that has been carried out in selected domains and also to highlight the gaps between industry need and research in the particular areas. We have classified the research papers based on the data mining technique used, the type of fraud targeted, year of publishing, etc. and analysed the results.
Multiphoton Confocal Microscopy (in vivo Imaging) in the Study of Early Response of Macrophages/Microglia in Damaged Midbrain of Juvenile Chum Salmon Oncorhynchus keta

We used multiphoton confocal microscopy for the in vivo study of early response of macrophages/microglia in the damaged midbrain of juvenile chum salmon Oncorhynchus keta. The results obtained allow the use of injection of DiI in the area of brain injury as a method to identify a population of phagocytic cells in the brain, based on the physiological response of macrophages/microglia. Thus, the injury with injection of small particles of dye DiI causes the phagocytic response from macrophages within a 30 minutes after the application of the damaging effects. This allows the use of DiI as a vital nonspecific marker of macrophages/microglia. It can be regarded as an effective method of identifying populations of phagocytic cells in the brain, as the effective molecular markers that allow selective identification of populations of macrophages and microglia in the brain of the fish have not been developed so far. We supposed that using multiphoton confocal microscopy in vivo experiments allow to have the substantial preference. Damage to living cells decreases photo induced processes, because of the much lower absorption of tissues and cells in the infrared region as compared with the ultraviolet one. For this reason, it provides more depth of penetration in biological objects (animal). The main beneficial consequence of this is the better survival of a biological object with good image quality.
Challenges Facing Disposal of E-Waste in Kenyan Public Universities

This study sought to establish the challenges facing disposal of electronic waste in Kenyan Public Universities. Survey research design was used in the study. The target total population was 385 from two public Universities and one University Constituent College. Through purposive and simple random sampling 110 respondents were selected. The data collection instruments were questionnaires and document review. The data analysis used both descriptive and inferential statistics. The findings of the study indicated that public Universities have major challenges in disposal of electronic waste and there is also lack of proper disposal mechanism. The paper then recommends that universities need to set up a disposal and refurbishing center.
Serum Paraoxonase Levels in Type 2 Diabetes Mellitus Patients: A Case-Control Study

1Post-graduate, Department of Biochemistry, Adichunchanagiri Institute of Medical Sciences, BG Nagara, Mandya, Karnataka, India, 2Professor and Head, Department of Biochemistry, Adichunchanagiri Institute of Medical Sciences, BG Nagara, Mandya, Karnataka, India, 3Associate Professor, Department of Biochemistry, Adichunchanagiri Institute of Medical Sciences, BG Nagara, Mandya, Karnataka, India, 4Assistant Professor, Department of Biochemistry, Adichunchanagiri Institute of Medical Sciences, BG Nagara, Mandya, Karnataka, India Address for correspondence: Aliya Nusrath, Professor and Head, Department of Biochemistry, Adichunchanagiri Institute of Medical Sciences, BG Nagara, Mandya, Karnataka, India. Phone: +91-9448168236, E-mail: aliyaikram@ymail.com ABSTRACT Background and Objectives: Diabetes, a lifelong progressive disease, with metabolic dysregulation, is associated with increased risk of cardiovascular complications. Paraoxonase (PON), an enzyme associated with high-density lipoprotein (HDL) is known to modulate the antioxidant and anti-inflammatory role of HDL and may have a protective role in the prevention of these complications. The present study was undertaken to evaluate serum PON, thiobarbituric acid reacting substances (TBARS) and serum lipid profile in Type 2 diabetes mellitus (DM). Materials and Methods: The study group consisted of 60 cases of clinically diagnosed Type 2 DM and 60 age and sex-matched controls. Lipid profile was estimated by enzymatic methods using EM-200 autoanalyzer, TBARS by thiobarbituric acid assay and serum PON by spectrophotometric method. Results: Type 2 DM patients showed significant increase in total cholesterol (P < 0.05), triacylglycerol (P <0.0001), very low density lipoproteins (P < 0.0001), TBARS (P < 0.0001) levels, and significant decrease in HDL (P < 0.05) compared to controls. A significant decrease was observed in both basal (P < 0.0001) and salt stimulated PON activity in cases (P < 0.0001). Salt stimulated PON activity showed a positive correlation with HDL levels (P < 0.05) in cases, whereas basal PON activity showed negative correlation with TBARS in controls (P < 0.005). Conclusion: Type 2 DM patients have significantly lower levels of PON activity along with dyslipidemia with a direct correlation of PON with HDL levels. This may reduce the protective role of HDL and increases the susceptibility of cardiovascular complications.
Int. J. Biosci

This study was carried out to evaluate the genetic diversity of Central Tanzanian indigenous chicken. Chickens were collected from six different districts of Central part in Tanzania (Dodoma, Kondoa, Singida, Manyoni, Igunga and Tabora). Eighteen microsatellite markers recommended by International Society for Animal Genetics, Food and Agriculture Organization advisory group on animal genetic diversity were used to determine genetic variation. The microsatellite markers used were suitable for the measurement of the genetic diversity and relationship of Tanzanian chicken populations. Statistics related to genetic variation were estimated using GenALEx6. Genetic variation among population was 98% and 2% genetic variance was observed between the six populations. The least number of alleles was seven in MCW0111 locus and highly polymorphic locus was MCW0016 with 23 alleles with a grand mean heterozygosity of 0.779 ± 0.018 across the populations which indicate unlimited gene pool and high gene flow. Nei’s genetic distance ranged from 0.203 (lowest) between population of Kondoa and Singida to 0.583 (highest) between population of Tabora and Kondoa suggesting their genetic relatedness and dissimilarity. Principal of Coordinate Analysis (PCoA) results revealed diverse genetic variation within six populations analyzed. The distribution patterns of the chickens showed no distinct group based on the location specific rather than intermixing of the genotypes was observed suggesting random mating of chickens. This study found a lot of genetic variation and relatedness within and among populations. The results from this study can therefore serve as an initial step to plan the conservation of indigenous chickens in Tanzania. * Corresponding Author: Chrispinus C.D. Rubanza  eddymotto@yahoo.co.uk International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print), 2222-5234 (Online) http://www.innspub. net Vol. 14, No. 4, p. 15-25, 2019