Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of the Tribological Properties of Paraffin and Polyethylene Wax as Antiwear Additives in refined Sesame Oil

Vegetable oils were one of the main sources of lubricating oils before the appearance of oil. Currently, due to low thermal stability and oxidation, they are not used with the same frequency in the industrial sector. However, the different fatty acids that make up vegetable oils can significantly reduce the This manuscript was sent on August 8, 2019 and accepted on December 19, 2019. The authors thank the Universidad Militar Nueva Granada for their support. Arnoldo Emilio Delgado Tobón, asociate professor, Engineering Faculty, Universidad Militar Nueva Granada. Career 11 No. 101-80 Bogotá D.C., Colombia. (e-mail: arnoldo.delgado@unimilitar.edu.co) William Arnulfo Aperador Chaparro, titular professor, Engineering Faculty, Universidad Militar Nueva Granada. Career 11 No. 101-80 Bogotá D.C., Colombia. (e-mail: william.aperador@unimilitar.edu.co) coefficient of friction. To optimize the lubrication, vegetable oils can be mixed with additives. In this research, a comparative study of the lubricating power of sesame oil with polyethylene wax and paraffin as additives was carried out. This property was evaluated by preventative wear tests and extreme pressure in a four-ball tribometer. The experimental results showed that for the preventive wear test the mixture with polyethylene wax has the smallest average diameter of the fingerprint, while for the extreme pressure test the mixture with paraffin gave a greater resistance to the applied load, obtaining a welding point to 32 Kg-F (314N) being greater than for pure oil and with polyethylene wax (24 KgF (235N)). In relation to the coefficient of friction the results obtained show that there is no difference between the oil and the mixtures with the different additives. From these results it can be concluded that the yield of sesame oil as a lubricant can be improved by mixing it with paraffin and polyethylene wax; however, the percentages added must be determined correctly.
SOCIETIES Deliverable D 8 . 4 D 8 . 4 Specification of usability testing for first prototype

This specification for the Usability Evaluation of the SOCIETIES First Prototype includes a State of the Art on Measuring Usability for Pervasive and Social Systems, and proposed specifications for the usability evaluations for three SOCIETIES First Prototype user trials. The State of the Art outlines the historical context for measuring usability, from human factors to participatory methods. Literature related to the challenges for usability evaluation of ubiquitous systems is discussed, with emphasis on the issues of modelling, field trials, complex organisations, and privacy. Four inquiry approaches are selected for more detailed discussion: System Usability Scale (SUS), Experimental Sampling Method (ESM), Day Reconstruction Method (DRM), and Cultural Probes. The usability specifications for Students, Disaster Management and Enterprise First Prototype user trials are each presented, via an outline description of the proposed methodology and trial plans. SOCIETIES Deliverable D8.4 Page 2 of (52) © SOCIETIES consortium 2012 Disclaimer This document contains material, which is the copyright of certain SOCIETIES consortium parties, and may not be reproduced or copied without permission. In case of Public (PU): All SOCIETIES consortium parties have agreed to full publication of this document. In case of Restricted to Programme (PP): All SOCIETIES consortium parties have agreed to make this document available on request to other framework programme participants. In case of Restricted to Group (RE): All SOCIETIES consortium parties have agreed to full publication of this document. However this document is written for being used by <organisation / other project / company etc.> as <a contribution to standardisation / material for consideration in product development etc.>. In case of Consortium confidential (CO): The information contained in this document is the proprietary confidential information of the SOCIETIES consortium and may not be disclosed except in accordance with the consortium agreement. The commercial use of any information contained in this document may require a license from the proprietor of that information. Neither the SOCIETIES consortium as a whole, nor a certain party of the SOCIETIES consortium warrant that the information contained in this document is capable of use, or that use of the information is free from risk, and accept no liability for loss or damage suffered by any person using this information. Impressum [Full project title] Self Orchestrating Community Ambient Intelligence Spaces [Short project title] SOCIETIES [Number and title of work-package] WP8 [Document title] D8.4 Specification of usability testing for first prototype [Editor: Name, company] Edel Jennings, TSSG [Work-package leader: Name, company] Mark Roddy, TSSG [Estimation of PM spent on the Deliverable] 1PM
CONTINUOUS DETECTION OF NEAREST NEIGHBOUR NODE IN ASYNCHRONOUS WIRELESS SENSOR NETWORKS

In wireless sensor networks the most nodes are fixed. The node connectivity is subject to vary due to interruptions in wireless communication, transmission power changes, or loss of synchronization between the neighbouring nodes. Even after a sensor is alert of its immediate neighbours, it must constantly maintain its observation, a process called as continuous neighbour discovery. In this work we discriminate between adjacent discovery during sensor network initialization and continuous neighbour discovery. Here focus on the latter and view it as a joint task of all the nodes in every connected segment. Every sensor employs a simple protocol in a coordinate effort to reduce power consumption without increasing the time required to detect hidden sensors.
Exploring Relationship Between Tqm and Software Productivity

Introduction: This publication is the product of research, carried out in the field of management in year 2018-19, which supports the work of a PhD in Business Management at Chandigarh University. The purpose of this research is to explore the relation between Total Quality Management (TQM) constructs and productivity in the IT industry. This study has been conducted for organizations operating in the Tricity (Chandigarh, Panchkula and Mohali) and NCR (Noida, Gurgaon and Delhi) regions. Problem: The control of rising operational costs in any organization has become a challenge and is a major aspect in the sustainability of an organization. Implementation of TQM may reduce these costs by improving productivity in the software development process. Objective: The objective of the research is to explore if there any relationship exists between TQM and productivity in software development organization and whether TQM positively impacts productivity. Methodology: The study is based on a descriptive research design. A total of 206 respondents were selected using convenient sampling while 90 responded back on the survey. Exploratory factor Analysis and Multiple Linear Regression techniques were applied to obtain the results. Results: Out of 4 elements of TQM considered in this study, Customer Focus and Continuous improvement were found to be positively related to productivity while Total Management Commitment was found to not be related to productivity. The hypothesis related to People Management was abandoned because it was highly correlated to other TQM elements. Conclusion: TQM positively impacts productivity in software development organizations. Originality: This study tried to create a causal mathematical model between TQM variables and productivity. Limitations: Sample size and TQM elements were limited based on availability of time and resources.
Spatial behavior of corn leaf aphid and syrphid flies in corn crop in the northeast of Pará

The aim of this study was to verify the spatial and temporal behavior of corn leaf aphid (Rhopalosiphum maidis Fitch.) and hoverflies in corn crop in the municipality of Igarape-Acu, northeast of Para, Brazil, as well as the influence of adjacent areas on the occurrence of these insects. An experimental area of 1.0 ha (100 x 100 m) was used in the years 2015 and 2016, adjacent areas consisted of mango agroecosystem, pasture and secondary forest. The area was divided into grid with 100 plots of 100 m2 (10 x 10 m). Ten plants were randomly selected, totaling 1,000 plants per sampling date. Corn leaf aphid colonies (= or> 15 aphid) and syrphid flies adult was visually analyzed throughout the aerial parts of the plants. The spatial behavior was analyzed by semivariogram modeling and kriging interpolation maps. The semivariograms and kriging maps were made by the R software for Windows. Gaussian, spherical and exponential models were the best fit for corn leaf aphid in both harvests, showing aggregate behavior. The weak and moderate spatial dependence index prevailed, with range ranging from 12.46 to 93.04 m for R. maidis. The syrphids flies showed spatial interaction with the corn leaf aphid and they also show aggregate behavior, confirmed by most adjustments in the spherical and exponential models. The spatial dependence index of the prevailing syrphids flies were moderate and weak, ranging from 14.00 to 101.33 m. Adjacent areas showed influence on occurrence and dispersal of both corn leaf aphid and syrphids flies.
Improved Data Driven technique with Answer Selection

: Similar queries from historical archives have been used to answer questions with good theoretical foundations and good practical accomplishments. However, each question in the pool of respondents is often related to several answers, and therefore the user needs to look thoroughly before finding the correct answer. To alleviate the problem, we offer new projects to rank candidates who respond via a double comparison. In particular, it consists of an offline learning component and an online search component. In the offline learning component, we will automatically and automatically generate positive and negative training examples in terms of priority pairs introduced by our data-driven observations. We will then present a new model to include all three training examples. The closed form of this form is derived. In the online search component, we collect the answers to the questions listed by finding similar questions. Then we will sort the candidate answers by upgrading the offline model to the reference order. Extensive tests on the vertical and horizontal community questionnaire have demonstrated durability and compelling performance. We have also published code and information to help other researchers.
ANALYSIS OF VARIOUS NANO FLUIDS IN CONCENTRIC TUBE HEAT EXCHANGER WITH TURBULATOR USING CFD

Nanofluids are basically nano sized solid particles which can be either metallic or nonmetallic, suspended in a base fluid such as water, ethylene glycol etc. The nanofluids are generally sought to be much better working fluids as compared to the base fluids because of their enhanced thermal properties. In this research, nanofluids such as Al2O3-H2O, TiO2-H2O and ZrO2-H2O were analyzed and compared on the basis of thermal parameters such as overall heat transfer coefficient and Nusselt number. The basis of comparison was suspending these nanoparticles at various concentrations of 0.4 %, 0.8 % and 1.2 % volume by weight and at various Reynolds number ranging from 4000 to 20000. For investigation an experimental setup was modeled with the help of CFD which involved a tube in tube heat exchanger. A helical wire coil turbulator of 39 mm pitch was used to promote the turbulence in flow in the inner tube. The results were drawn and compared with that of pure water which involved the case of with and without turbulator. The investigation showed the overall heat transfer coefficient and the average Nusselt number increased with the increase in the Reynolds number as well as the particle concentrations. Moreover out of the three nanofluids, the TiO2-H2O nanofluid exhibited better heat transfer capabilities. Also the use of turbulators caused the swirl motion in the flow which enhanced the heat transfer coefficient.
Title : Functional connectivity changes following interpersonal reactivity

1 Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany 2 Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany 3 Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany 4 University Hospital Jena, Institute of Psychosocial Medicine and Psychotherapy, Jena, Germany 5 Institute of Psychology, University of Innsbruck, Innsbruck, Austria. 6 Clinic for Psychiatry and Psychotherapy, Eberhard-Karls University, Tuebingen, Germany 7 Anna Freud Centre, London, United Kingdom 8 Wellcome Trust Centre for Neuroimaging, University College of London, United Kingdom 9 Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
Abundance and diversity of foliage insects among different Olericulture Crops

Vegetables have essential nutrients like Vitamins, minerals, antioxidants and trace elements that play a vital role in human nourishment. Insects directly or indirectly affect these vegetables. Diversity indices provide important information about species in a community and help to understand the population structure at the given place. Diversity, evenness, dominance and richness of specific taxa considered the main factors of this indices. The results after the whole research as described in methodology showed that total 389 specimens belonging to 10 orders, 33 families and 59 species were documented from spinach fields while fenugreek pertains to 327 specimens, 9 orders, 30 families, and 55 species, whereas, total 373 specimens related to 11 orders, 34 families and 61 species were documented in case of turnip. Catocala and Drosophila genus 4.89% (N = 16) was recorded at their peak from Fenugreek, whereas from Turnip, Culex was documented with a high percentage of 4.02% (N = 15) and from Spinach, Catocala was recorded with an utmost abundance of 4.88% (N = 19). Maximum diversity, Dominance, Richness and Evenness with different values logged for Spinach and Turnip while the least number recorded for fenugreek.
Beyond “mainstream” and “alternative” in organic food supply chains

Purpose – This research investigates the supply chains for organic milk, apples and pasta in eight European countries and how added value is distributed among market players. Design/methodology/approach – Using secondary data and expert interviews, a market overview for the three products is provided as the basis of a more detailed analysis of the added value in twelve organic supply chain examples. For this, interviews with market players and an ‘added value calculator’ tool are employed. Findings – The farm gate and retail price of organic products is higher than conventional. Super-markets are the main outlet for organic milk and apples in the countries studied, whereas the situation for organic pasta is varied, suggesting that the use of different sale channels is influ-enced by the food product. The farmers’ share of added value ranges between 3% and 65% of the added value created in the organic supply chains analysed. Organic offers opportunities to increase the farmers’ share of added value both in supermarkets and alternative sale channels, by developing collaboration, physical infrastructures for organic and integrating operations upstream of the chain. Research limitations/implications – While more research is needed into a larger number of chains, this paper indicates that there are dynamics and features at supply chain level, such as the distribution of added value and the target markets used, that cannot be interpreted according to the binary division between ‘mainstream’ and ‘alternative’ organic suggested by the con-ventionalisation hypothesis. Originality/value – The distribution of added value for existing supply chains in eight European countries is calculated by using an effective added value calculator tool.
The impact of perceived usefulness & perceived ease of use on the successful adoption of information systems in developing countries

: In this research the data collected and used to investigate, examine and identify the impact of perceived usefulness (PU) & perceived ease of use (PEOU) on the successful adoption of information systems (IS) in developing countries. A questionnaire was designed to rate the successful adoption, utilization and implementation of the information systems in the developing countries. Structural Equation Modelling SEM was used to analyse the collected data. The research findings showed that perceived usefulness & perceived ease of use had direct and indirect effects on successful adoption of information systems. The study findings could represent a starting point for further studies to cover other factors influencing the IS adoption and facilitate decision makers to avoid failure of IS in developing countries.
Evaluation and Analysis of Mobility Scenarios with Varying Pause Time for Hierarchical Protocols in Wireless Sensor Networks

: In wireless sensor networks, mobility and pause time have a major impact that directly influences the energy consumption and the lifetime of the network. This paper analyzes the performances of three hierarchicals protocols LEACH, LEACH-C and PEGASIS with respect to different mobility models under various pauses time for wireless sensor networks. In fact, the evaluation is based on metric performance such as packet delivery ratio (PDR), average throughput, consumption and lifetime network in a simulation environment NS2. Simulation results show that PEGASIS for mobility Random Waypoint model (RWP), Manhattan model (MANHT) and Gauss Markov model (GMM) under different pause time outperforms existing protocols LEACH and LEACH-C in terms of saving energy and the overall lifetime of the mobile network. As we analyzed in all mobility models and different pause time, PEGASIS performs well for average end to end delay compared to LEACH-C and LEACH respectably, also LEACH-C shows improved average throughput than LEACH and PEGASIS. In the same way, PEGASIS works better in terms of PDR in RWP and MANHT, while LEACH-C has the best PDR in GMM.
Development of Spray-Dried Lime Juice Powder with Improved Bioactive Compound Retention

Lime juice powder was developed with 20% of combined maltodextrin/gum Arabic at a ratio of 4:1. A high shear homogenization was applied to encapsulate phytochemical compounds before spray drying with the purpose of protecting bioactive compounds from thermal degradation. The effect of high shear homogenization on physicochemical properties and antioxidant activity of spray-dried lime powder was studied. The particle size, morphology, moisture content, color, solubility, hygroscopicity, ascorbic acid, total polyphenol and flavonoid contents, and antioxidant activity of the spray-dried powder undergoing the homogenization were compared with those of the non-homogenized powder. The higher yield (30%) was obtained in the homogenized powder compared with the control (28%) with no significant difference. The average particle diameter of the homogenized powder was 0.1-4 micrometers, smaller than 18-26 micrometers of the untreated powder. Morphological study revealed that the powder without homogenization was densely packed compared with the homogenized powder. Moisture content of homogenized powder and that of the particles without homogenization were 3.91% and 5.42%, respectively. Higher solubility and less hygroscopicity values and color after spray drying were observed in reconstituted lime powder with high shear homogenization. Folin-Ciocalteu and aluminum trichloride (AlCl3) assays were used to determine total phenolic and flavonoid compounds, respectively. 2, 2-diphenyl-1-picryl hydrazyle-hydrate (DPPH) assay was used to determine total antioxidant activity of the powders. The retention of ascorbic acid and total phenolic contents, and antioxidant activity was significantly better in the homogenized powder, but not the flavonoid contents. The antioxidant activity derived from total phytochemical compounds in the treated powder was preserved by the homogenization before spray drying. This study indicated that the application of high shear homogenization with combined drying agent before spray drying could prevent phytochemical compounds in lime from thermal degradation.
Modelling Stand Variables of Beech Coppice Forest Using Spectral Sentinel-2A Data and the Machine Learning Approach

Background and Purpose: Coppice forests have a particular socio-economic and ecological role in forestry and environmental management. Their production sustainability and spatial stability become imperative for forestry sector as well as for local and global communities. Recently, integrated forest inventory and remotely sensed data analysed with non-parametrical statistical methods have enabled more detailed insight into forest structural characteristics. The aim of this research was to estimate forest attributes of beech coppice forest stands in the Sarajevo Canton through the integration of inventory and Sentinel S2A satellite data using machine learning methods. Materials and Methods: Basal area, mean stand diameter, growing stock and total volume data were determined from the forest inventory designed for represented stands of coppice forests. Spectral data were collected from bands of Sentinel S2A satellite image, vegetation indices (difference, normalized difference and ratio vegetation index) and biophysical variables (fraction of absorbed photosynthetically active radiation, leaf area index, fraction of vegetation cover, chlorophyll content in the leaf and canopy water content). Machine learning rule-based M5 model tree (M5P) and random forest (RF) methods were used for forest attribute estimation. Predictor subset selection was based on wrapping assuming M5P and RF learning schemes. Models were developed on training data subsets (402 sample plots) and evaluations were performed on validation data subsets (207 sample plots). Performance of the models was evaluated by the percentage of the root mean squared error over the mean value (rRMSE) and the square of the correlation coefficient between the observed and estimated stand variables. Results and Conclusions: Predictor subset selection resulted in a varied number of predictors for forest attributes and methods with their larger contribution in RF (between 8 and 11). Spectral biophysical variables dominated in subsets. The RF resulted in smaller errors for training sets for all attributes than M5P, while both methods delivered very high errors for validation sets (rRMSE above 50%). The lowest rRMSE of 50% was obtained for stand basal area. The observed variability explained by the M5P and RF models in training subsets was about 30% and 95% respectively, but those values were lower in test subsets (below 12%) but still significant. Differences of the sample and modelled forest attribute means were not significant, while modelled variability for all forest attributes was significantly lower (p<0.01). It seems that additional information is needed to increase prediction accuracy, so stand information (management classes, site class, soil type, canopy closure and others), new sampling strategy and new spectral products could be integrated and examined in further more complex modelling of forest attributes.