Miracle-dz/UniFAR-FTUs huggingface dataset:
Irrigation response of potato (Solanum tuberosum L.) var. R12 Diacol Capiro

Irrigation is one of the agronomic practices seldom employed by potato growers, either because of water unavailability or lack of knowledge of the benefits of the appropriate water use. In order to demonstrate this benefit, in a cycle of five months, regarding of a commercial crop located in Tenjo (Cundinamarca), we evaluate the response of the potato variety Diacol Capiro R-12 to three treatments, fertigation (T1), drip irrigation (T2), and the comparison with a conventional check without irrigation (T3), distributed under a completely randomized design. The influence of the treatments on the fresh and dry weight of leaves, stems and tubers was estimated. Throughout the assessment, the irrigation and fertigation treatments were superior to conventional one, showing statistically significant differences at harvest time, where treatment T1 showed an increase in yield of 72% and treatment T2 of 18%, compared with the control. Based on the results, fertigation can be considered as an option for farmers to increase their potato profitability and market competitiveness, since the impact generated by price fluctuations of the product can be reduced, obtaining higher and more constant yield per area unit, regardless of weather conditions during the crop cycle.
Mapping The Phenomenon Of Students’ Entrepreneurial Intention

This research mapped the phenomena that occured in students who are taking classes entrepreneurship that was limited by entrepreneurial knowledge, personal attitude, social norms and self-efficacy. Using descriptive statistics on the answers of 794 respondents, who were students of Bina Nusantara University, produced a variety of results. Based on entrepreneurial knowledge, students still felt hesitant to be able to start and run the entrepreneurial process. On the other hand, self-efficacy and personal attitude reflect a positive thing associated, while the support of family and the environment around where they livevalued invariety. Although this research discovered phenomenon using all the attributes having impacts on entrepreneurship intention, potential students who are properly trained have a probability of playing a leading role in this regard. The benefits that can be expected from this research are useful in identifying suitable students for any entrepreneurial activity in the future with the support of educational institutions, families, and the government as a whole to form the atmosphere of an entrepreneurial culture.
Determinants of Reverse Mortgage Usage in Malaysia

This study aims to identify the factors that influence a household’s willingness to use reverse mortgage as a source of supplementary income in old age by adopting the original Theory of Planned Behavior (TPB) and extending it with three other additional constructs. Using a convenience sampling technique, a total of 391 valid questionnaires were used for data analysis. The data analysis was conducted using the SmartPLS software, version 3.2. 6. The results suggest that the sense of attachment to a place, attitude, motive of bequest, social influence and perceived ability positively influence a household’s willingness to use reverse mortgage, while financial behavior was found to negatively influence the willingness to do so. The findings of this study extend the application of the TPB to the domain of reverse mortgage product.
Effects of administration of sertraline, clozapine, amitriptyline and imipramine on brain serotonin, liver enzymes and blood chemistry of rabbit

The chronic administration of sertraline, clozapine, amitriptyline and imipramine on brain serotonin, liver enzymes and blood chemistry of rabbits were investigated. Sixty rabbits were equally divided into 5 groups and each group was intraperitoneally administered 2 ml of 0.5 mg of the respective drug/kg body weight/day) and saline as control for 28 days. After 28 days, the rabbits were sacrificed; blood taken, liver and brain were excised. The concentration of total protein, serotonin, cholesterol and triglyceride in serum, liver and brain were determined. The activities of serum and liver alkaline phosphatase (ALP), aspartate transaminase (AST) and alanine transaminase were also assayed. The serum serotonin and brain serotonin levels in rabbits administered the respective drugs were significantly (p administered saline. Brain protein and cholesterol levels in rabbit administered saline were significantly lower than in those administered sertraline, clozapine, amitriptyline and imipramine, with no difference in the serum protein levels. The activities of serum and liver AST and ALT of rabbits administered saline were significantly lower than in those administered the respective drugs, with the exception of serum ALP. Data from the study indicate that intraperitoneal administration of imipramine or amitriptyline produced a more pronounced effect on brain serotonin, activities of liver derived enzymes in serum and blood chemistry of rabbits compared to sertraline or clozapine. Keywords: Antidepressant drugs, serotonin, enzymes, blood chemistry.
DIRECT AND PERCENTAGE HETEROSIS OF GROWTH AND MORPHOMETRIC TRAITS IN CROSSES INVOLVING INDIGENOUS AND EXOTIC BREEDS OF PIGS IN NIGERIA

A total of 72 progenies generated from a cross involving the West African Indigenous (WAI), Landrace (LR) and Large white (LW) pig breeds were used to estimate the direct and percentage heterosis on body weight (BW) and morphometric traits such as Ear length (EL), Tail length (TL), Heart girth (HG), Height-at-withers (HW), Snout length (SL) and Body length (BL) at weaning (56 days), post weaning (84 days), puberty (112 days) and maturity (140 days) of age. Positive direct heterosis was reported on bodyweight at weaning for LR × LW and LR × WAI crosses only, while at post weaning, puberty and maturity, negative direct heterosis were recorded. The morphometric traits also showed more positive direct heterosis, particularly for EL, TL, HG, HW, SL and BL at various ages and crosses than negative heterosis at other ages and crosses. The percentage heterosis ranged from 0.87% to 55.91% for body weight at different ages and crosses, while for morphometric traits, it ranged from 0% to 32.00% in EL, 1.14% to 15.40% in TL, 0.27% to 21.18% in HG, 0.76% to 29.53% in HW, 0% to 13.59% in SL and 0.76% to 19.66% in BL at different ages and crosses, respectively. This implies that for those traits that exhibit positive heterosis, the exploitation of non-additive gene action such as dominance could bring about more rapid genetic improvement, while the high percentage heterosis (50% and above) implies that crossbreeding, using the male lines on the female lines for such traits will lead to either its improvement or decline in performance.
Deep Neural Networks Learn Non-Smooth Functions Effectively

We theoretically discuss why deep neural networks (DNNs) performs better than other models in some cases by investigating statistical properties of DNNs for non-smooth functions. While DNNs have empirically shown higher performance than other standard methods, understanding its mechanism is still a challenging problem. From an aspect of the statistical theory, it is known many standard methods attain optimal convergence rates, and thus it has been difficult to find theoretical advantages of DNNs. This paper fills this gap by considering learning of a certain class of non-smooth functions, which was not covered by the previous theory. We derive convergence rates of estimators by DNNs with a ReLU activation, and show that the estimators by DNNs are almost optimal to estimate the non-smooth functions, while some of the popular models do not attain the optimal rate. In addition, our theoretical result provides guidelines for selecting an appropriate number of layers and edges of DNNs. We provide numerical experiments to support the theoretical results.
Patterns and Determinants of Non-Farm Entrepreneurship in Rural Africa: New Empirical Evidence

A substantial number of African households do not limit their labor to agriculture, but diversify into non-farm entrepreneurship. Why and how they do so remains however relatively unexplored, especially from a comparative and empirical perspective. Using the World Bank’s LSMS-ISA survey data that covers six countries in Sub-Saharan Africa, this paper answers three questions about the neglected topic of rural non-farm entrepreneurship. (i) How prevalent is nonfarm entrepreneurship in rural Africa? (ii) Do households enter the sector as a result of push or pull factors? (iii) Which types of businesses do they operate? We nd that almost half of all households in rural Africa are engaged in non-farm entrepreneurship, with however substantial country-level heterogeneity. Using probit regressions we also nd that enterprises are operated due to both push and pull factors. Push factors are related to the risk of farming under imperfect and missing markets for credit and insurance, and include shocks, surplus household labor, and seasonality in agriculture. Pull factors that allow households to seize business opportunities, are related to the access to credit, household wealth and education. Finally we nd, using a multinomial logit model, that the type of business activity households operate also depends on individual, household and location characteristics.
MURASHIGE, T. and F. SKOOG (1962): A revised medium for rapid growth and bioassays with tobacco tissue cul-

Growth traits, wood properties, stem-branch characteristics and bark percentage were assessed for 60 Eucalyptus urophylla S.T. Blake clones in southern China measured at age 21, 52, 71 and 96 months. Analysis of variance showed that there were significant differences on growth traits, wood properties and individual tree wood weight among clones. Coefficients of genotypic variation ranged from 12.12% to 53.16% for growth traits, 9.02% to 20.18% for wood properties, 21.75% to 22.71% for stem-branch characteristics, 28.31% for bark percentage and 51.20% for individual tree wood weight. Repeatability ranged from 0.36 to 0.53 for growth traits, 0.35 to 0.51 for wood properties, 0.21 to 0.24 for stembranch characteristics, 0.07 for bark percentage and 0.31 for individual tree wood weight. The strongly negative genotypic correlations suggesting that selection on growth traits at 21 months can not be effective to predict growth traits at 96 months whereas it could be used to predict growth traits at 52 and 71 months. The genotypic correlations between growth traits and basic density were ranged from –0.78 to 0.28 and weakly positive phenotypic correlations were found between growth Genetic variation and genetic gain in growth traits, stem-branch characteristics and wood properties and their relationships to Eucalyptus urophylla clones*) By SHIJUN WU1), JIANMIN XU1),3), GUANGYOU LI1), ZHAOHUA LU1), CHAO HAN1), YANG HU2) and XINXIAN HU1) (Received 17th January 2013) 1) Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangdong Guangzhou 510520, China. 2) Xinhui Research Institute of Forestry Science, Guangdong Jiangmen 529100, China 3) Corresponding Author: JIANMIN XU. E-Mail: jianmxu@163.com *) This study was undertaken as a project for the National Twelfth Five-Year Science and Technology Plan “Breeding of High yield and High Resistance New Species of Eucalyptus” (2012BAD01B0401). First Author: SHIJUN WU, Ph.D. Research Institute of Tropical Forestry, Chinese Academy of Forestry. E-Mail: wushijun0128@163.com Shijun Wu et. al.·Silvae Genetica (2013) 62/4-5, 218-231 DOI:10.1515/sg-2013-0027 edited by Thünen Institute of Forest Genetics 219 traits and basic density, ranging from 0.03 to 0.09. The selection gain on diameter at breast height over bark by different selection proportions at 21, 52, 71 and 96 months old expressed that selection gain at 71 months was some what higher than that at other ages during 10% to 30% selection proportion, while selection gain at 52 months was some what higher than that at other ages during 60% to 90% selection proportion. Wood properties and individual tree wood weight which are strongly related to end production and economically important in pulp production should be studied extensively especially for pulp breeding.
Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map

In clothing and particularly in footwear, the variance in the size and shape of people and of clothing poses a problem of how to match items of clothing to a person. This is specifically important in footwear, as fit is highly dependent on foot shape, which is not fully captured by shoe size. 3D scanning can be used to determine detailed personalized shape information, which can then be used to match against product shape for a more personalized footwear matching experience. In current implementations however, this process is typically expensive and cumbersome. Typical scanning techniques require that a camera capture an object from many views in order to reconstruct shape. This usually requires either many cameras or a moving camera system, both of which being complex engineering tasks to construct. Ideally, in order to reduce the cost and complexity of scanning systems as much as possible, only a single image from a single camera would be needed. With recent techniques, semantics such as knowing the kind of object in view can be leveraged to determine the full 3D shape given incomplete information. Deep learning methods have been shown to be able to reconstruct 3D shape from limited inputs in highly symmetrical objects such as furniture and vehicles. We apply a deep learning approach to the domain of foot scanning, and present methods to reconstruct a 3D point cloud from a single input depth map. Anthropomorphic body parts can be challenging due to their irregular shapes, difficulty for parameterizing and limited symmetries. We present two methods leveraging deep learning models to produce complete foot scans from a single input depth map. We utilize 3D data from MPII Human Shape based on the CAESAR database, and train deep neural networks to learn anthropomorphic shape representations. Our first method attempts to complete the point cloud supplied by the input depth map by simply synthesizing the remaining information. We show that this method is capable of synthesizing the remainder of a point cloud with accuracies of 2.92±0.72 mm, and can be improved to accuracies of 2.55±0.75 mm when using an updated network architecture. Our second method fully synthesizes a complete point cloud foot scan from multiple virtual view points. We show that this method can produce foot scans with accuracies of 1.55±0.41 mm from a single input depth map. We performed additional experiments on real world foot scans captured using Kinect Fusion. We find that despite being trained only on a low resolution representation of foot shape, our models are able to recognize and synthesize reasonable complete point cloud scans. Our results suggest that our methods can be extended to work in the real world, with additional domain specific data.
Rule-based control of a semi-active suspension for minimal sprung mass acceleration: design and measurement

ABSTRACT In this paper, a rule-based controller is developed for the control of a semi-active suspension to achieve minimal vertical acceleration. The rules are derived from the results obtained with a model predictive controller. It is shown that a rule-based controller can be derived that mimics the results of the model predictive controller and minimises vertical acceleration. Besides this, measurements on a test vehicle show that the developed rule-based controller achieves a real-world reduction of the vertical acceleration, which is in agreement with the simulations.
Prevalence and Effect of Helminthiasis on Haematological Parameters in the Migratory Sparrows (Alauda arvensis) and Treatment with an Antihelmintic, Fenbendazole

The present study was conducted to investigate the prevalence of helminthic parasites of gastrointestinal tract (GIT) and its effect on blood picture in the captured migratory sparrows (Aluda arvensis). The parasitized sparrows were treated with a broad-spectrum anthelmintic i.e. , panacur containing fenbendazole. On the basis of the cloacal swab samples seen under microscope, a prevalence rate of 56% (n=112) among all the two hundred migratory sparrows was observed. Half of these positive birds (n=56) in number were necropsied in order to recover the live parasites from the gastrointestinal tract. Live Heterakis gallinae and Ascaridia galli were recovered from 50% and 32% of the birds, respectively and 18% birds showed live mixed infection of both the parasites. None of the birds was parasitized with live trematode and/or cestode. The haematology revealed that total erythrocyte count, hemoglobin, lymphocytes and eosinophils were decreased and total leucocytic count was increased. From the remaining live, half of the parasitized birds i.e., 56 migratory sparrows, a treatment trial was conducted and an efficacy rate of 95% was observed 7 days post-medication.
Characterization of maintainer and restorer lines for wild abortive cytoplasmic male sterility in indica rice (Oryza sativa L.) using pollen fertility and microsatellite (SSR) markers.

A narrow genetic base and insufficient numbers of parental lines are major constraints in the development of location-specific hybrid rice varieties. We have studied 4 wild abortive (WA) cytoplasmic male sterile (CMS) lines and 45 pollen parents of diverse origins in order to identify potential restorers and maintainers using test crosses. Pollen viability tests from 85 successful crosses were able to differentiate parental lines into restorers, partial restorers, partial maintainers, and maintainers. Additionally Simple Sequence Repeat (SSR) markers were used to characterize 18 selected entries comprising 8 effective restorers, 4 partial restorers, 2 weak maintainers and 4 complete maintainers. Analysis of divergence patterns based on amplification profiles obtained from 34 SSR markers, allowed differentiation of effective fertility restorers from the rest of the entries comprising partial fertility restorers, weak sterility maintainers and complete sterility maintainers.
YouTube, Google, Facebook: 21st Century Online Video Research and Research Ethics

Since the early 2000s, the proliferation of cameras in devices such as mobile phones, closed-circuit television (CCTV), or body cameras has led to a sharp increase in video recordings of human interaction and behavior. Through websites that employ user-generated content (e.g., YouTube) and live streaming sites (e.g., GeoCam), access to such videos virtually is at the fingertips of social science researchers. Online video data offer great potential for social science research to study an array of human interaction and behavior, but they also raise ethical questions to which existing guidelines and publications only provide partial answers. In our article we address this gap, drawing on existing ethical discussions and applying them to the use of online video data. We examine five areas in which online video research raises specific questions or promises unique potentials: informed consent, analytic opportunities, privacy, transparency, and minimizing harm to participants. We discuss their interplay and how these areas can inform practitioners, reviewers, and interested readers of online video studies when evaluating the ethical standing of a study. With this study, we contribute to an informed and transparent discussion about ethics in online video research.
Structure of human values: testing the adequacy of the Rokeach value survey

Rokeach's (1973)Value Survey has received widespread use in the past decade, but little attempt has been made to examine the extent to which the 36 items provide comprehensive and representative coverage of the value domain. Our data provide qualified support for the comprehensiveness of the instrument. The major weaknesses in sampling involve the facets of physical well-being and individual rights. Other areas not represented are thriftiness and carefreeness. The need for multi-item indexes for value constructs are discussed, as are the advantages of a rating procedure over a ranking procedure from both psychometric and empirically valid perspectives. An alternative instrument based on the work of Rokeach is proposed.
Influence of Peer Models on Children's Self-Efficacy.

This experiment investigated how children's self-efficacy and achievement were influenced by their observing peer models learn a cognitive skill. Within this context, the effects of modeled mastery and coping behaviors were explored. The subjects were children who had experienced difficulties learning subtraction with regrouping operations in their classes. Children observed a same-gender peer demonstrate either rapid (mastery model) or gradual (coping model) acquisition of subtraction skills, observed a teacher model demonstrate subtraction operations, or did not observe a model. Children then judged self-efficacy foi learning to subtract, and received subtraction training. Observing a peer model led to higher self-efficacy for learning, posttest self-efficacy, and achievement, than did observing the teacher model or not observing a model. Children who observed the teacher model scored higher than no model subjects on these measures. No significant differences were obtained on any measure due to type of peer modeled behavior
Effect of soil porosity and slope gradient on the stability of weathered granitic hillslope.

Modeling rainwater infiltration in slopes is vital to the analysis of rainfall induced slope failure. Amongst the soil hydraulic properties, the hydraulic conductivity K and considered as the dominant factor affecting the slope stability. Of less prominent was the effect of water retention characteristics. In this study, a numerical model was developed to estimate the extent of rainwater infiltration into an unsaturated slope, the formation of a saturated zone, and the change in slope stability.This model is then used to analyze the effects of the soil porosity parameters(i.e.,saturated soil water content q, and effective soil porosity (ESP) and slope gradient on the occurrence of slope failure. Results showed that when the surface soil of a slope has a relatively large ESP value, it has agreater capacity for holding rainwater, and therefore delays rainwater infiltration into the subsurface layer. Consequently, the increase in pore water pressure in the subsurface layer is also delayed. In this manner, a relatively large surface layer ESP value contributes to delaying slope failure. In addition,the slope gradient of slope is also a significant parameter in slope stability analysis. The time taken for gentle slope to reach failure is longer compared to similar cases with 40 slope gradient.
Observation of excited states in a graphene quantum dot

We demonstrate that excited states in single-layer graphene quantum dots can be detected via direct transport experiments. Coulomb diamond measurements show distinct features of sequential tunneling through an excited state. Moreover, the onset of inelastic cotunneling in the diamond region could be detected. For low magnetic fields, the positions of the single-particle energy levels fluctuate on the scale of a flux quantum penetrating the dot area. For higher magnetic fields, the transition to the formation of Landau levels is observed. Estimates based on the linear energy-momentum relation of graphene give carrier numbers of the order of 10 for our device.