Miracle-dz/UniFAR-FTUs huggingface dataset:
ISSN 2320-5407 International Journal of Advanced Research (2015), Volume 3, Issue 9, 577-587

Peter Oyier Ogweno In the last decade, performance of students in Rachuonyo North Sub County has taken a downward trend in the national examination, Kenya Certificate of Secondary Education (KCSE). This downward trend is particularly seen in the agriculture subject. This could be as a result of many interacting factors that may cause the poor performance of students in Rachuonyo, and therefore, availability of laboratory, classrooms, school farm, farm structures, textbooks and library being among the factors. In this study, these factors were referred to as teaching and learning resources. The objective of this study was to determine the influence of availability of teaching and learning resources on the students’ academic performance in agriculture subject. Corelational design was used during the study and stratified sampling was used to select schools for the study. The target population was 754 students taking agriculture subject at Form Four. Stratified random sampling was used to select the sample for the study. The sample size was 254 students registered in agriculture subject. The items of the questionnaire were developed based on the objectives of the study and the items were discussed with other experts and then pilot tested to ascertain their reliability. The reliability coefficient was 0.72. The instrument was self-administered. Data was analyzed using quantitative methods where descriptive statistics including frequencies, percentages, means, as well as, standard deviation were used, while inferential statistics included Pearson correlation and simple regression were used to test the hypothesis, with levels of significance set at 0.05. Statistical Package for Social Sciences software was used for data analysis.The study observed that majority of the schools had laboratories, classrooms, school farms, libraries and adequate text books for agriculture; however, many schools did not have farm structures. In addition, the study found that schools without laboratories, school farms and farm structures had a higher mean score as compared to schools having these facilities. Similarly, schools with adequate classrooms, textbooks and libraries had higher mean scores as compared to schools without these facilities. However, tests for statistical significance concluded that performance in secondary school agriculture was not significantly determined by the availability of teaching and learning resources in Rachuonyo North Sub County.
Fundoscopic Changes in Pre–Eclampsia and Fetal Outcome

Hypertensive disorders complicate 5-10% of all pregnancies. Along with hemorrhage and infection, it forms a deadly triad-that contributes mainly to maternal morbidity and mortality [1]. Visual system may be affected in 30-100% of patients with this disease. Hypertensive disorders of pregnancy are further complicated by coexisting fundoscopic changes.Our study aims to correlate fundoscopic changes in pregnancy induced hypertension and fetal outcome. This prospective observational study was carried out in 302 patients with hypertensive disorders of pregnancy.Study was conducted at OBG department during November 2017 and 2018. Incidence of hypertensive disorders in this institute was 8.91%. Out of 302 subjects with hypertensive disorders of pregnancy, 83(27.4%) had preterm delivery, 128(42.38%) low birth weight babies, 47(15.56%)babies with low APGAR, 75( 24.83%) were IUGR babies. There were 14(4.63%) neonatal deaths and 62(20.5%) NICU admissions. 12(3.97%) subjects had placental abruption, 4(1.32%) had HELLP syndrome,1(0.33%) had Postpartum hemorrhage and 2(0.66%) had acute renal failure. There were no cases of pulmonaryedema and no maternal deaths. CONCLUSION: Early identification of hypertensive disorders of pregnancy, prompt and timely intervention and fetal surveillance are needed to reduce adverse maternal and fetal outcomes. ------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 20-12-2019 Date of Acceptance: 03-01-2020 -------------------------------------------------------------------------------------------------------------------------------------
Prevalence, Pattern and Risk Factors of female sexual violence

Background: Sexual violence is a major problem that affects millions of females every year, recent researches approve a negative impact of sexual violence upon victims’ mental and physical health. Aim: The aim of this study was to assess prevalence, pattern and risk factors of female sexual violence. The study design was across sectional descriptive research design. Study Subjects: The study subjects was include (351) female in reproductive age who was be chosen using simple random sampling. Setting: This study was conducted at Borg – Noor El-Homos, Aga, ElDakahlia. Tool of data collection: A structured interview questionnaire consist of seven parts. Study results: Showed that, about two third (66.7%) of study group exposed to sexual violence, the common form of sexual violence for girls and women was flirting (61.3%) , followed by harassment (37.6%), the most common form of harassment was staring (44%). The most common form of sexual violence for married women was sex by force (59.4%) . The female with the highest income and high educational level have high risk for sexual violence, the risk increases with single than married female. The major risk factors was the abuser using cigarettes (33.9%), followed by psychological problems(12.3%). Conclusion: There was high level of sexual violence against female at Borg NoorEl homos-Aga-El Dakahlia. Recommendation: The study recommend legal declaration of violence as a punishable crime and magnification of the punishment of perpetrators of sexual assault crimes, and application of this punishment as early as possible to limit the wide spread of this problem.
SymGAN: Orientation Estimation without Annotation for Symmetric Objects

Training a computer vision system to predict an object’s pose is crucial to improving robotic manipulation, where robots can easily locate and then grasp objects. Some of the key challenges in pose estimation lie in obtaining labeled data and handling objects with symmetries. We explore both these problems of viewpoint estimation (object 3D orientation) by proposing a novel unsupervised training paradigm that only requires a 3D model of the object of interest. We show that we can successfully train an orientation detector, which simply consumes an RGB image, in an adversarial training framework, where the discriminator learns to provide a learning signal to retrieve the object orientation using a black-box non differentiable renderer. In order to overcome this non differentiability, we introduce a randomized sampling method to obtain training gradients. To our knowledge this is the first time an adversarial framework is employed to successfully train a viewpoint detector that can handle symmetric objects. Using this training framework we show state of the art results on 3D orientation prediction on T-LESS [12], a challenging dataset for texture-less and symmetric objects.
Schools Matter

The real education experts, academics who study and research education, teach at universities and colleges and are teachers themselves, produce volumes of peer reviewed articles, write books and give lectures to share their findings, ideas and solutions to improve education. The problem is those who control the purse strings in state education departments, government and at the U.S. Department of Education in Washington, are held hostage by corporate interests who have hijacked our children's pedagogy. With the new Common Core Standards adopted in more than 46 states, testing every kid, in every subject, and mining the data will only exacerbate the dysfunction and lead to the inevitable revolt we are already seeing across the country. Most parents, students and teachers living through this economic depression see scarce resources further dried up and spent on more testing and more data. Austerity in the poorest and neediest schools districts has exposed the harsh reality of three decades of failed education policy that ignores inequality and poverty.
SPEED AND PHYSIOLOGIC REPLY IN SWIMMING, CYCLING AND RACING

The triatlon is characterized for being a test of effort of long duration of pace of aerobic and anaerobic intensity. To determine the variations before maximum and submaximum intensities in relation to the speed, it has been studied the behavior of the heart rate and of the lactate accumulation as physiological variables, the effort perceived as psychological variable and the frequency of movements as cinematic variable. The results have showed that the metabolic exigency before maximum intensities of mixed character aerobic/anaerobic in swimming is less than in cycling and in running. The intensity of 90% of the maximum speed, comes closer to the values of the Anaerobic Threshold in the tests of swimming and cycling, being higher in the test of running. In conclusion, the percentage of Speed does not seem to be an equivalent indicator for three disciplines to discriminate the intensity of the effort.
Fruit quality assessment in pigmented grapefruit (Citrus paradisi Macf.) for varietal diversification.

Grapefruit (Citrus paradisi Macf.) is an evergreen subtropical Citrus cultivar formerly mentioned in literature as ‘The forbidden fruit’ by Hughes (1750). Grapefruit was considered as a bud sport however, now it is known as a spontaneous hybrid of Citrus grandis L. and C. sinensis L. Osbeck (Scora et al., 1982; Oueslati et al., 2017). Production of high-quality grapefruit is restricted to tropical and sub-tropical areas having hot and humid climatic conditions hence it may not be cultivated as widely as other citrus species. Amongst commercial citrus cultivars, Grapefruit has the largest fruit size excluding Chakotra. Its fruit harvesting can be delayed, and it could be left on the trees for longer times however, fruit fly may damage the crop. In Punjab-Pakistan, grapefruit harvesting starts in September-October when fruit is still green in color and flesh color is not fully developed. Grapefruit varieties offer diversity in fruit morphology, flesh color and seediness. Fruit having pigments like red and pink, are rich in vitamin A content and lycopene, have higher phytonutrient and antioxidant properties. Cultivation and consumption of pigmented grapefruit varieties is rapidly rising due to its higher nutraceutical and anticancer properties. In global citrus industry, share of grapefruit production is less than 5% and its cultivation is intensified in countries like China, South Africa, USA, Turkey and Mexico. Amongst the largest exporters of fresh fruit, South Africa exports 0.23 million tons followed by China, USA and Turkey. In Texas, Rio Red is the main cultivar being cultivated on about 24% acreage of grapefruit production in USA (USDA-NASS, 2014). In USA, pigmented grapefruit is liked more and 75% of the grapefruit sold in USA are cultivars having pink to red pigmented flesh (Kesinger, 2002). In Pakistan, citrus fresh fruit production is 2.27 million tons from an area of 0.19 million hectares. About 95% of the citrus production of the country is shared by Punjab mainly comprising of cultivar Kinnow mandarin. Grapefruit is cultivated on five thousand hectares and its production share is merely 0.3% of citrus production in Pakistan (www.faostat.org). It is mainly cultivated in subtropics of central Punjab as small orchards. Shamber (seedless) and Foster Pink (seedy) are main cultivars commercially grown in Punjab and other parts of the country while the latter has little commercial significance. Morpho-chemical and genetic diversity assessment is useful for cultivar characterization and screening. In grapefruit, spontaneous bud sport variation has been very extensively Pak. J. Agri. Sci., Vol. 5x(X), xxx-xxx; 20xx ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 DOI: 10.21162/PAKJAS/20.8442 http://www.pakjas. com.pk
1 MANAGERIAL OVERCONFIDENCE AND THE BUYBACK ANOMALY

Employing a press-based managerial overconfidence measure, we find that abnormal returns following share repurchases, while positive, are substantially lower when managers are classified as overconfident. This holds particularly for small, young, financially constrained, non-dividend paying and distressed firms, firms with negative earnings, and those with poor past performance, all of which are more difficult to value. Corporate governance quality substantially improves the post-buyback stock performance when managers are overconfident, suggesting that governance quality is effective at curbing these managers. Overall, our results suggest that particularly when valuation is subjective and difficult, the share repurchases of overconfident managers are more likely to underperform relative to unconfident managers. Moreover, the fraction of shares sought is larger when managers are overconfident. Our results are consistent with managers' perceived undervaluation of their shares being a central motive for share repurchase announcements. These results are only compatible with the overreaction hypothesis of the buyback anomaly.
A century of change in global educational inequality between and among genders

Over the last few years, two important phenomena have attracted the attention of social scientists: (i) the uneven global distribution of educational attainment, and (ii) the closing and reversal of the gender gap in educational attainment in favor of women. While it seems clear that these two phenomena are interrelated with one another, no previous study has attempted to investigate and flesh out the nature of that relationship. The main aim of this paper is to bridge this gap by putting together the different types of inequalities into a coherent whole. Our findings suggest that (a) overall educational inequality, as well as inequality among women, have risen together with increasing gender equality, but a decline in both types of inequality can be observed at higher levels of gender equality; and (b) the educational advantage of women over men is gradually becoming an important source contributing to global educational inequality. Corresponding auth or. Centre d’Estudis Demogràfics, Carrer de Ca n’Altayó, Edifici E-2, Campus de la UAB, 08193 Cerdanyola del Vallès, Spain. E-mail: inaki.permanyer@uab.es . The research leading to these results has received funding from the European Research Council (ERC2014StG-637768, EQUALIZE project). Iñaki Permanyer has also been financially supported by the Spanish Ministry of E conomy and Competitiveness “Ramón y Cajal” Research Grant Program (RYC-2013-14196).
Gravity modelling across two postulated granite batholiths within the UK onshore East Midlands Shelf

Six UK onshore 2D composite seismic lines have been reprocessed, interpreted and published (Butler and Jamieson, 2013). These lines provide a series of long regional seismic lines crossing England. The work described here focuses on one of these lines (UKOGL-RG-005) passing with EW orientation from the Welsh Borders to the Lincolnshire Coast. A simple polygonal 2.5D model based upon the Butler and Jamieson (2013) seismic interpretation has been created to predict the expected gravity and magnetic variations along the line. These model calculated values, when compared to the observed BGS gravity field data, indicate a significant discrepancy over the East Midlands Shelf between the Carboniferous Basins of the Gainsborough Trough and the Widmerpool Gulf. Such a difference may be explained in two possible ways. Firstly, by the presence of a thick remnant Old Red Sandstone basin. Secondly, by the existence of two adjacent, buried granite batholiths of presumed late Caledonian (Acadian) age. The first option is considered unlikely as the area of the gravity discrepancy lies within the Acadian Fold Belt with an Acadian subcrop showing little evidence for thick Lower Devonian rocks and comprising mainly older metamorphic sediments or igneous rocks. There is also no evidence on the seismic data for the presence of thick Devonian sediments within the area of the discrepancy. The second option involving the presence of buried granite batholiths is preferred. One of the two granites, the Newark Granite, has been proposed before but the other granite, here called the Bingham Granite, has not been previously recognised. Their locations may have contributed to the early Carboniferous tectonic stability of this part of the East Midlands Shelf.
Long-Short Graph Memory Network for Skeleton-based Action Recognition

Current studies have shown the effectiveness of long short-term memory network (LSTM) for skeleton-based human action recognition in capturing temporal and spatial features of the skeleton sequence. Nevertheless, it still remains challenging for LSTM to extract the latent structural dependency among nodes. In this paper, we introduce a new long-short graph memory network (LSGM) to improve the capability of LSTM to model the skeleton sequence - a type of graph data. Our proposed LSGM can learn high-level temporal-spatial features end-to-end, enabling LSTM to extract the spatial information that is neglected but intrinsic to the skeleton graph data. To improve the discriminative ability of the temporal and spatial module, we use a calibration module termed as graph temporal-spatial calibration (GTSC) to calibrate the learned temporal-spatial features. By integrating the two modules into the same framework, we obtain a stronger generalization capability in processing dynamic graph data and achieve a significant performance improvement on the NTU and SYSU dataset. Experimental results have validated the effectiveness of our proposed LSGM+GTSC model in extracting temporal and spatial information from dynamic graph data.1
Visual Impairment Among Patients with Chronic Kidney Disease Undergoing Haemodialysis in a Tertiary Health Institution in Southern Nigeria

Aim: To determine the prevalence and the degree of visual impairment in patients with Chronic Kidney Disease (CKD) undergoing haemodialysis in University of Port Harcourt Teaching Hospital, Nigeria. Methodology: This was a hospital-based cross-sectional study. Patients attending the nephrology clinic of the University of Port Harcourt Teaching Hospital; diagnosed with chronic renal failure and undergoing haemodialysis were enrolled into the study after obtaining their informed and written consents. A comprehensive ocular examination was done and data recorded in Microsoft excel sheets and later analysed using SPSS version 25. Frequency was presented in percentages. Mean and standard deviations were calculated for descriptive and comparative purposes. Statistical significance was tested using the chi-square test. P-value < 0.05 was taken as statistically significant. Results: A total of 170 eyes of 85 persons were examined in this study. A total of 55 (64.6%) males were examined. Male to Female ratio was 1.8:1. Mean age of the study participants was 43.5 ± 15.56 and age range 19 to 83 years. Forty-two (49.4%) of study subjects had visual impairment out of which 2.4% (n = 2) were blind. Conclusion: The burden of visual impairment is high among persons with CKD and are on hemodialysis. Comprehensive ophthalmic evaluation and care would therefore be necessary for patients with CKD in our hospitals.
Levels of Adipokines–Adiponectin and Resistin in Patients with Metabolic Syndrome and Newly Diagnosed Diabetes Mellitus Type 2

It has been recently proven, that the adipose tissue is not just a passive energy depot, but rather active endocrine organ – adipocytes are expressing on their surface multiple receptors and are releasing adipokines, hormones, cytokines, growth factors. Aim of the present study was to examine the serum levels of adipokines – adiponectin and resistin in patients with metabolic syndrome (MS) and newly diagnosed diabetes mellitus type 2 (NDDMt2). A prospective, comparative, observational study was performed. In 45 subjects with MS and NDDMt2 (n1=45) and 35 clinical health subjects (n2=35) were measured and compared the serum levels of adipokines – adiponectin and resistin. Two homoeostasis models assessment of insulin resistance (HOMA-IR) and of β-cell function (HOMA-%В) 140 SMU Medical Journal Indexed in SIS (USA), ASI (Germany), I2OR & i-Scholar (India), SJIF (Morocco) and Cosmos Foundation (Germany) databases. Impact Factor: 3.835 (SJIF) ISSN : 2349 – 1604 (Volume – 4, No. 2, July 2017) Research Article SMU Medical Journal, Volume – 4, No. – 2, July, 2017 were calculated. A significantly lower level of adiponectin was detected in patients with MS and NDDMt2 in comparison whit the control group (n1=0.97±0.47 vs. n2=1.96±0.73 μg/ml; p=0.005). A significantly higher level of resistin was found in patients with MS and NDDMt2 in comparison whit controls (n1=1.85±0.70 vs. n2=0.71±0.31 ng/ml; p=0.025). We have found negative correlations between concentration of adiponectin and serum levels of resistin, BMI and waist circumference in MS and NDDMt2 patients. The resistin was positively correlated with BMI and waist circumference, and was negatively correlated with HDLcholesterol in MS and NDDMt2 patients.Patients with MS and NDDMt2 exhibited significantly changes in levels of adiponectin and resistin. Indicated adipokines may have predictive value of progression from normal to pathological carbohydrate metabolism.
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study

Neural style transfer has been a “killer app” for deep learning, drawing attention from and advertising the effectiveness to both the academic and the general public. However, we have found by ablative experiments that optimizing an image in the way neural style transfer does, while the objective functions (or more precisely, the functions to transform raw images to corresponding feature maps being compared) are constructed without pretrained weights or biases, worked almost as well. We can even factor out the deepness (multiple layers of alternating linear and nonlinear transformations) alltogether and have neural style transfer working to a certain extent. This raises the question how much of the the current success of deep learning in computer vision should be attributed to training, structure or simply spatially aggregating the image.
Saccharinity Test on Cherry Tomatoes Based on Hyperspectral Imaging

Received: 13 July 2019 Accepted: 10 October 2019 Based on the hyperspectral imaging (HSI) technique, this paper attempts to test the saccharinity of three varieties of cherry tomatoes in a nondestructive manner. The cherry tomato samples of the three varieties were collected, and kept at room temperature for 12h. Then, the spectral curves of the samples were obtained between the wavelengths of 914.91nm and 1,661.91nm. After that, the feature bands were extracted by three algorithms, namely, competitive adaptive reweighted sampling (CARS), successive projection algorithm (SPA) and SPA-CARS. The samples were divided into a correction dataset and a prediction dataset at the ratio of 2:1. Next, the feature bands extracted by the three algorithms were combined with the partial least squares (PLS) and least squares-support vector machine (LS-SVM) into six saccharinity prediction models. Finally, the prediction results of the six models were compared, revealing that the CARS-LS-SVM achieved the best performance with a prediction accuracy of >92%. The evaluation indices of this model are as follows: the correlation coefficient of correction dataset (Rc), 0.9696; the correlation coefficient of prediction dataset (Rp), 0.9220; the root mean square error of correction dataset (RMSEC), 0.2768; the root mean square error of prediction dataset (RMSEP), 0.4390. The research results lay the basis for industrial grading of saccharinity of cherry tomatoes in a nondestructive manner.