Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Integration of an Odia Stemmer in Dspace for Odia Search Engine

Stemmer is used for reducing inflectional or derived word to its stem. This technique involves removing the suffix or prefix affixed in a word. It can be used for information retrieval system to refine the overall execution of the retrieval process. This process is not equivalent to morphological analysis. This process only finds the stem of a word. This technique decreases the number of terms in information retrieval system. There are various techniques exists for stemming. Here a new hybrid stemmer has developed named as “Mula” for Odia Language. It is a combination of brute force and enhanced suffix strippingapproach for Odia language. The new born stemmer is both computationally inexpensive and domain independent. We have integrated this stemmer in existing Dspace for Odia text retrieval System. The results are commendable and suggest that the new stemmer can be used effectively in Odia Search Engine. The proposed stemmer also handles over-stemming and understemming effectively
Inbreeding and Allele Retention for Lake Sturgeon Populations under Different Supplementation Strategies

Abstract Lake sturgeon Acipenser fulvescens once were abundant throughout the Great Lakes basin but have been reduced to less than 1% of historical levels because of habitat degradation and overexploitation. Current management plans suggest stocking as a tool to increase abundance, but stocking also has genetic implications. The objectives of this study were to determine the supplementation level that would maintain long-term population persistence with the smallest genetic impact and to determine whether different supplementation strategies would be required for different starting conditions. An individual-based model that incorporated demographics and genetics was used to explore scenarios that included three initial population sizes, two different supplementation time frames, varying sex ratios, variance in family size, and different percentages of the adult population contributing progeny for supplementation. As expected, all supplementation scenarios reduced extinction risk, increased population size.
Crowding-out (-in) Effects of Subsidy Schemes on Individual Donations: An Experimental Study

We conduct a laboratory experiment to investigate whether the rebate and matching subsidy schemes cause crowding-out or crowding-in effects (reductions or increases in amount donated) on individual net donations. We find that when the rebate subsidy scheme is implemented, it does not result in crowding-out or crowding-in effects on individual net donations. However, when the matching subsidy scheme is implemented, it encourages individuals to donate more and generates crowding-in effects on individual net donations.
The Black Pedagogy Scale: A New Task to Explore Educational Practices for Children’s Well-Being

The present contribute focuses on the concept of “Black Pedagogy” (Rutschky, 1977; ISBN: 3548356702), meant as a set of educational practices assimilable into those that nowadays are included in the frame of physical and psychological maltreatment (e.g., corporal punishment, frightening children, etc.). The purpose of this work is to present our operationalization proposal of the concept and the results deriving from a first validation of the “Black Pedagogy Scale”. The questionnaire was administered to 374 Italian university students in their university classrooms (pilot study with double administration) and to 830 Italian adults, parents of primary school-aged children, through an online survey platform (main study). In the pilot study, explorative analyses, paired-samples t-test and ML EFA (with Varimax rotation) were performed. In the main study, proprieties of the refined instrument and relations between the construct of Black Pedagogy and demographics were explored. The Black Pedagogy Scale (α > .8) resulted composed by three factors, consistently with what was initially hypothesized: “Values of Black Pedagogy” (var. 18.7%), “Education of children over time” (var. 10.6%) “Methods of Black Pedagogy” (var. 8.6%). Participants resulted more in agreement with Black Pedagogy’s values rather than with its methods, and those with higher educational qualification showed less agreement with the construct, F(2, 813) = 28.22, p < . 001, η² = . 065. The possible legacy of a Black Pedagogy’s forma mentis can contribute to explain why some detrimental disciplinary practices are culturally deemed as acceptable. Results suggest designing interventions focused on educational values to discourage such practices.
A Novel Mechanism for User Centric Similarity Search

: - Nowadays, Social media positions (e.g., YouTube, Insta, and Facebook) remain a favorite combination Results as clients studying to distribute their occurrences, activities on Network. These websites receive large quantities of user-supplied elements (ex: photos, videos) during the vast difference natural-world results of various variety, reach. User decisions perform an essential position under business analysis. In database administration, there should largely operate on inquiry savage, being an extremely well-known top-k inquiry that can use to ranking decisions depends on favorites consumers displayed. By undoubtedly classifying certain issues, their connected user-provided collection media records, which is the centre of the document, the author can provide development browsing, examine in situation-of-art research engines. The author presented employ rankings of consequences depends on the views their clients to outline decisions in a user-essential area wherever comparison estimates completed. the author classifies essential characteristics of mapping that outcome in upper, lowers correlation bounds, which in turn allow appropriating traditional multidimensional records on primary commodity season so achieve those user-essential correlation estimates. the author shows whereby impressive correlation computations those are driven by a generally accepted reach, Approaching Neighbor inquiries can implement accurately while lopping important components of information produced depends on bounds author obtain on a user-centric comparison of effects.
DISTRIBUTION AND DIVERSITY OF AQUATIC INSECTS OF FRESHWATER PONDS VIZ. PAMPOO TALAB AND BEKARBANDHTALAB OF DHANBAD DISTRICT IN JHARKHAND

The diversity of insect fauna of two fresh water ponds of Dhanbad was represented by 60 species classified under 15 families and 9 orders.Among the insects collected from the freshwater pond,the order Coleoptera was diverse in number of genera(22). The order Ephemeroptera is represented in BekarbandhTalab by the families Baetidae and Caenidae, which are considered as an indicator of water quality.of the 15metrices selected,taxa richness ,composition measures, tolerance and intolerance and Functional groups were also found out for both two study stations.In the present study, the percentage of Ephemeroptera ,Plecoptera and Trichoptera taxa richness and diversity remained high in station 1,Bekarbandh Talab and reduced drastically in station 2. PampooTalab.Pollution tolerant taxa such as Chironomidae,Tabanidae, Culicidae and Anophilinae were abundant in station 2 i.e PampooTalab. The result of the study reveals great diversity of aquatic insects in freshwater bodies of Dhanbad and suggest the possibility of using insects effectively for biomonitoring programmes.
Leaderless Byzantine Fault Tolerance

In this work, we propose Leaderless Byzantine Fault Tolerance (LBFT), a novel consensus algorithm that combines Snowball algo-rithm and Practical Byzantine Fault Tolerance (pBFT) algorithm, two existing consensus algorithms. Achieving consensus in decentralized systems has been di � cult as they lack certain properties that many algorithms assume. Our approach looks to take advantage of the decentralized aspect of Snowball and the deterministic property of pBFT so that the weaknesses of Snowball’s probabilistic property and pBFT’s reliance on "leader" are eliminated. The algorithm we propose is applicable to decentralized systems such as blockchain systems even though Snowball and pBFT both make stronger assumptions than decentralized systems allow. By simulating real-world environments and comparing with pBFT performances, we show that LBFT is feasible in the context of real-world decentralized systems and has su � cient performances that are close to those of pBFT.
Why free software is not the antonym of commercial software: two case studies from corporate to volunteer based projects

Academic literature often uses the terminology “commercial software” as an antonym of Free/Libre Open Source Software (FLOSS). In this paper we challenge this opposition. Using an approach inspired by ethnomethodology, the paper illustrates how FLOSS developers, both volunteers and corporate employees, use the term “commercial software” as a constituent part of their discourses. We look closely at FLOSS discursive practices uncovering the interactional function of the term “free software” with the aim of provoking a reflection on how such terminology is used in FLOSS academic literature. In particular, we propose examples taken from two case studies: the Geographical Information System known as GRASS and the Operating System known as OpenSolaris.
Propagación in vitro de Carica papaya var. PTM-331 a partir de meristemos apicales

El trabajo consistio en desarrollar un protocolo de propagacion in vitro de la variedad de papaya PTM-331 a partir de meristemos apicales, con la finalidad de obtener plantulas vigorosas y libres de enfermedades, empleando la tecnica del cultivo de tejidos. Las yemas apicales empleadas fueron obtenidas de plantas cultivadas en invernadero, los cuales fueron usados como explantes para la extraccion de meristemos. La mejor diferenciacion de meristemos se logro en el medio basal MS suplementado con 0,5 mg.L-1 de BAP, 0,5 mg.L-1 de AIA y 10 mg.L-1 de adenina. La mejor multiplicacion se logro con el medio MS suplementado con 0,5 mg.L-1 de BAP, 0,5 mg.L-1 de AIA y 0,3 mg.L-1 de AG3, con un coeficiente de multiplicacion de 3,42; mientras que el mejor medio para el enraizamiento fue la combinacion del medio MS, 3 mg.L-1 de AIB y 5 mg.L-1 de adenina, donde se obtuvo 83,33% de plantas enraizadas.
Multivariate morphometrics and sexual dimorphism in the orb-web spider Metellina segmentata (Clerck, 1757) (Araneae, Metidae)

Sexual dimorphism in body size and leg length was investigated in a common orb-weaving spider of Ireland and northern Europe, Metellina segmentata (Clerck, 1757) (Araneae, Metidae). Univariate and multivariate analyses of sexual dimorphism revealed that a greater proportion of between sex variation (sexual dimorphism) was attributable to variation in shape than in size. Significant differences were found in the scores for males and females for the first two principal components. PC1 (shape) accounted for 44.25% of the variation and PC2 (size) 13.01% of the variation. Although M. segmentata has been attributed with minimal sexual size dimorphism, females were markedly heavier, possibly a reflection of differential reproductive investment between the sexes, but males had markedly longer legs and broader prosoma. The results are discussed with regard to existing theories of natural and sexual selection, particularly those concerning sexual cannibalism and differential life history traits in males and females. Models that attempt to explain the evolution of sexual size dimorphism in spiders and of the web builders in particular, fail to account for the multivariate nature of dimorphism, especially with respect to shape.
Size and reproductive inequality in mycorrhizal and nonmycorrhizal populations of Abutilon theophrasti.

1 We grew Abutilon theophrasti Medic. with and without mycorrhizal colonization in the field at two plant densities both of which resulted in self-thinning of the populations. 2 There was an initial convergence of plant density from high and low sowing densities to a common density of plants. Thereafter, for both sowing densities log biomass increased and log density decreased along a biomass-density boundary that had a slope of during the period of greatest density-dependent mortality. 3 Size inequality among individuals decreased during the period of greatest densitydependent mortality because of greater mortality in the smallest size classes. 4 For the first 92 days, mycorrhizal colonization did not significantly alter the biomass-density relationship. 5 Mycorrhizal populations did not develop significantly different size inequality than nonmycorrhizal populations, but they did develop significantly greater inequality in fecundity. The proportion of individuals reaching reproductive maturity was similar in the two populations, but reproductive individuals in mycorrhizal populations had more capsules than those in nonmycorrhizal populations.
Performance Evaluation of Hybrid Electric Vehicles for Sustainable Transport System

The emissions from the internal combustion (IC) engine vehicle causes pollution which increases the carbon footprints in the environment which causes global warming. In ICE vehicle only 20 % of the energy produced by it is used to run the vehicle and rest 80 % of it get wasted. The emerging technology of Hybrid Electric vehicle (HEV) has become the feasible solution for the modern world as it lessens the carbon emission and augments the fuel performance of vehicle. The role of power electronic converters is very crucial in designing the configuration of HEVs. The performance of the converter is employed for realizing the features of electric traction motor drive. The paper analyses the performance of a small car powered by gasoline based internal combustion engine, series hybrid electric vehicle (SHEV) and parallel hybrid electric vehicle (PHEV) drive train. The simulation has been performed on Advanced Vehicle Simulator (ADVISOR) platform. Different types of HEVs configuration has been analyzed by considering three different driving schedules such as CYC_UDDS, CYC_NEDC and CYC_URBAN_INDIA. The gradability and acceleration test has also been carried out in all category of test vehicles and result is demonstrated by examining vehicle emission at each driving cycle
Learning to Optimize on SPD Manifolds Supplementary Materials

with respect to M , that is minM∈Sd ++ L(M). In Eq. (1), xi is the i-th training sample, and its corresponding target (e.g., label) is yi. f(·) and l(·) represent the prediction and objective functions, respectively, and M ∈ S ++ encapsulates parameters of the optimization problem. To solve Eq. (1), we parameter the SPD optimizer by a network, and φ is the parameter of the network, through which the SPD parameter is updated by
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning

Semi-supervised generative learning aims to learn the underlying class-conditional distribution of partially labeled data. Generative Adversarial Networks (GANs) have led to promising progress in this task. However, it still needs to further explore the issue of imbalance between real labeled data and fake data in the adversarial learning process. To address this issue, we propose a regularization technique based on Random Regional Replacement (R$^3$-regularization) to facilitate the generative learning process. Specifically, we construct two types of between-class instances: cross-category ones and real-fake ones. These instances could be closer to the decision boundaries and are important for regularizing the classification and discriminative networks in our class-conditional GANs, which we refer to as R$^3$-CGAN. Better guidance from these two networks makes the generative network produce instances with class-specific information and high fidelity. We experiment with multiple standard benchmarks, and demonstrate that the R$^3$-regularization can lead to significant improvement in both classification and class-conditional image synthesis.
Frey’s procedure: short term follow up results in terms of pain, endocrine and exocrine status, a tertiary care centre experience

Background: Chronic pancreatitis, a debilitating disease which affects the patient to an extent to render him bedridden sometimes and often make him/her unable to perform daily work, leading to poor quality of life, severe emotional stress and financial burden. Frey’s procedure one of the most commonly performed surgery in patient of chronic pancreatitis with stones in pancreatic duct and small inflammatory head mass. This procedure had shown promising results in terms of pain control with unclear outcome with respect to exocrine and endocrine status. Methods: Study was conducted in Government Kilpauk Medical College, Chennai during March 2016 to December 2019. Total 21 patients were followed up for 18 months and Post-operative pain was analysed using pain scoring system used by Bloechle et al. Exocrine status in terms of diarrhea, bloating sensation and Fecal Elastase level(preoperative and postoperative) were analysed. Patient glycaemic status were also analysed and compared. Patient Nutritional status was analysed in terms of weight gain. Results: In this study there was significant improvement in pain after surgery in terms of VAS pain Score (Preop Mean-82.14, Post-op Mean9.76, p<0.001) , frequency of pain (Preop Mean-78.57, Post-op Mean14.29, p<0.001), analgesia required (Preop Mean-15, Post-op Mean3.10, p<0.001), and inability to work due to pain (Preop Mean80.95, Post-op Mean11.90, p<0.001). Overall total Pain score was significantly improved after surgery (Preop Mean-256.67, Post-op Mean39.05, p<0.001). There was significant weight gain and significant improvement in Fecal Elastase level in patients following surgery, however there was no significant difference in pancreatic exocrine status on the basis of symptoms. Conclusions: Frey’s procedure is very effective in pain control in properly selected patients of chronic calcific pancreatitis, and it also improves nutritional status of patient. Frey’s procedure might improve patient exocrine and endocrine status but further multicentre studies are needed to come to a conclusion.
Integrated Navigation by a Greenhouse Robot Based on an Odometer/Lidar

Received: 18 November 2019 Accepted: 24 January 2020 During greenhouse operations, robots need a specific working path to perform highprecision cruises, and thus, we designed a navigation positioning system based on an odometer/lidar. The navigation positioning system consists of a supervision terminal and a mobile robot. The supervision terminal releases map composition and cruise tasks, and the mobile robot composes a two-dimensional environment map, plans the cruise path and engages in navigation positioning; together, the two perform remote data exchanges through a wireless network. The robot could collect encoder data and obtain mileage information through track deduction, and combined with lidar data and the Gmapping algorithm, a two-dimensional environmental map was established. This system employs an A* algorithm to plan the cruise path and uses AMCL to estimate the position and pose of the robot. Based on the application of an expandable A* algorithm in the navigation toolkit of ROS, a specific working path cruise could be performed by setting goal points. The test results show that the navigation positioning system could perform a specific working path cruise; the average deviation in its straight line walk is 3.34 cm. The average deviation in the specific working path cruise is 2.73 cm, and the system has relatively higher navigation positioning precision because it could finish the specific path cruise and could better satisfy the greenhouse navigation positioning requirements than previous options.
Speech and Opinion Recognition from a Conversation

Speech Recognition is an interdisciplinary technique used to convert spoken language into text. It is a sub domain of computational linguistics and can be implemented using Machine Learning and Deep Learning Algorithms. Opinion Mining or Sentiment Analysis is a process which enables identifying opinions expressed by an author in a piece of text computationally. This opinion refers to the polarity of the expressed opinion, i.e. positive or negative. Through this research work, we aim to combine these two natural language processing techniques and devise a system that can take speech as the input and determine the sentiment behind the speakers’ words. The subject of the speech input may vary but the end goal is to recognize whether the attitude of the speaker towards the subject was positive or negative. The input will be converted to text and this text will then be classified using several different machine learning techniques. These include Naïve Bayes’ Classifier, Support Vector Machine, Logistic Regression and Decision Trees. After classification, the results for the three classifiers will be predicted and compared. Future scope of the project includes creating an ensemble of these classifiers to get better accuracy and precision of determining the sentiment of the speaker
Multiple Action Recognition for Human Object with Motion Video Sequence using the Properties of HSV Color Space Applying with Region of Interest

: Recognizing the activities of human beings from sequence of images is an on-going area of research in computer vision. Deep Convolutional Neural Network (CNN) models, recently started studies in recognising action of human together with categorization of images. However, these models are excessively encouraged by the background of the image, as well as understanding the existence of clues in standard computer vision datasets. For different robotics practice, the amount of innovation and variation activity backgrounds is too larger than PC vision datasets. To tackle this issue, we present the approach called “Action Region Proposal (ARP)”. In this approach image regions and optical flow are acting as the informing agents which are probably to contain movements for giving contribution to the system at the training just as testing phase. The proposed sub-activity descriptor comprises of three stages: the posture, the locomotion, and the gesture. The proposed activity detection classic localizes and perceives the activities of various persons at the same time in video surveillance by utilizing appearance-based temporal features with multiple CNN. Through a series of examinations, we have demonstrated that the manual background segmentation is insufficient; However the active ARP at the time of training and testing enhances the execution on specific spatial and temporal video constituents. Finally, the study indicates that by focusing attention through ARP, the performance of the present up-to-date spatio-temporal action recognition can be improved.
QUALITY ASSESSMENT IN HIGHER EDUCATION BASED ON SERVQUAL MODEL

This study investigates the perceptions regarding the quality of services within the Faculty of Management, Economic Engineering in Agriculture and Rural Development, questioning the students of the 4-th year of both specializations: Economic Engineering in Agriculture and Engineering and Management in Public Food and Agritourist. Students of the 4-th year were questioned, as we considered that they are final consumers of the educational service provided by the faculty. Following the study we were able to identify the improvement measures for each specialization. The students enrolled in IMAPA specialization have a lower level of satisfaction (are less satisfied) in each of the 5 quality dimensions and have a medium satisfaction level of 74%, compared to those from IEA specialization who have the medium degree of satisfaction of 79%. Both specializations require improvement measures, but priority is IMAPA;