Miracle-dz/UniFAR-FTUs huggingface dataset:
LINKING EMOTIONAL INTELLIGENCE AND PERFORMANCE AT WORK

The concept of emotional intelligence (El) has such intuitive appeal and face validity that in a short period of time it has captured the attention of social scientists and organizational practitioners around the world. The keyquestions that many want answered are whether there is validity to the idea of a form of intelligence rooted in emotion and whether El really supports positive life outcomes such as work success.The purpose of this book is to help answer these questions. Its chapters are written by a group of the foremost scholars and practitioners studying emotional intelligence in the workplace. It presents their cutting-edge thinking and research on EL The authors' perspectives differ on a number of dimensions including their definitions and models of EL However, together their chapters provide a strong case for a link between El and effective work performance. Together, they also provide detailed information about the various paths and routes through which EI can affect the performanceof individuals and groups. All the authors agree that their promising findings call attention to the need for further research on EL.
Constrained Total Least Squares Algorithm Applied to Three-Axis Magnetometer Calibration

Strapdown three-axis magnetometer is becoming increasingly used in navigation systems and in biomedical applications. A calibration must be performed before the magnetometer can be used, because its outputs are often corrupted by various magnetic field sources. This paper presents a new calibration algorithm based on constrained total least squares (CTLS) to determine different calibration parameters such as sensor non-orthogonality, scale factors, offsets, hard iron and soft iron errors. The basic idea is to convert the calibration problem into an unconstrained nonlinear optimization problem. An iterative technique based on Newton’s method is applied to give a numerical solution. Simulation results show that the proposed CTLS algorithm gives more accurate solutions than compared algorithms.
An ICT based Solution for Virtual Garment Fitting for Online Market Place: A Review of Related Literature

In this paper, we describe various technologies that are being used in virtual garment fitting and simulation. There, we have focused about the usage of anthropometry in clothing industry and avatar generation of virtual garment fitting. Most commonly used technologies for avatar generation in virtual environment have been discussed in this paper such as generic body model and laser scanning. Moreover, this paper includes the real-time tracking technologies used in virtual garment fitting like markers and depth cameras in various related researches as well as how the virtual cloth generation and simulation carried out in the related researches. Apart from these, virtual clothing methods such as geometrical, physical and hybrid based models were also discussed in this paper. As ease allowance has a major impact on virtual cloth fitting, it is also considered in this paper related to similar researches. Within this paper, all the above mentioned areas were described thoroughly while stating the existing gap of the virtual garment fitting in online marketplaces.
Design and Demonstration of a High Throughput DNA Tracking System for Genetic Improvement and Brand Verification in the Canadian Beef Industry

The Canadian beef industry today is challenged to adapt to climate change and to produce quality beef more efficiently, using fewer resources and with less impact to the environment. Competing protein sources have integrated their supply chains and applied genetic selection to increase efficiencies dramatically. Creating vertical linkage and increasing integration in the Canadian beef supply chain may be an opportunity to meet production challenges. A practical DNA tracking system was designed and demonstrated as a potential solution for the Canadian beef industry. High throughput SNP technology was used to create links between 1,237 feeder calves from multisire pastures, and their performance records, to their respective sires for the purpose of genetic improvement. Subsequent producer breeding decisions were based on Sire Production Summaries generated for their bulls. As an added value this system also delivers DNA traceability on beef products, enabling label verification and expansion into markets demanding
COMPLEMENT STRUCTURE OF CONVERSATIONAL TEXTSIN DICKENS’ SHORT STORIESAN X-BAR THEORY APPROACH

Penelitian ini membahas bentuk dan struktur komplemen dari percakapan yang terdapat dalam buku cerita, Dickens' Short Stories karya Charles Dickens. Komplemen adalah semua entitas yang berfungsi sebagai pelengkap dari inti sebuah frasa. Komplemen merupakan bagian dari fungsi gramatikal yang sering muncul dalam sebuah teks wacana dan cerita. Dalam penelitian ini, saya menggunakan sampling purposive untuk mendapatkan data yang sesuai dengan tujuan penelitian dan metode ditribusi dalam menganalisis. Teori yang digunakan dalam menganalisis data adalah teori X-bar. Teori ini digunakan untuk menjelaskan bentuk dan struktur komplement dari sebuah percakapan. Hasil dari penelitian ini adalah ditemukannya bentuk-bentuk komplemen yang diklasifikasikan berdasarkan kata yang mengikutinya seperti komplemen dari determiner, komplemen dari auxiliary, komplemen dari kata kerja, dan komplemen yang mengikuti preposisi atau kata depan. Setiap bentuk komplemen bisa memiliki struktur kata yang berbeda antara satu dengan yang lain.
Cultural Isolation and Characteristics of the Blood Microbiome of Healthy Individuals

Background: On the analogy of the non-pathogenic microbiota found in oral cavity, skin and gastrointestinal tract, existence of blood microbiota was confirmed by DNA sequencing, but never deeply characterized. Hypothesis for the existence of dormant blood microbiota in healthy humans have been arisen and single species have been isolated. The aim of our study was to resuscitate and investigate the biodiversity of bacterial and fungal dormant blood microbiota in healthy individuals by blood culturing and NGS DNA sequencing. Results: Twenty eight blood samples of healthy individuals, seven for each blood type, were studied. Several culture media were tested. Blood microbiota resuscitation was performed in BHI broth supplemented with vitamin K 1 mg/ml, 2% sucrose, 0.25% sodium citrate and 0.2% yeastolate at 43? C for 72 h. All tested blood samples were culture positive, as confirmed by Gram staining and TEM. TEM images demonstrated well defined cell structures. Analysis for bacterial and eukaryotic species was performed by 16S rRNA and ITS2 targeted sequencing. The obtained sequences were clustered (≥97% identity) in Operational Taxonomic Units (OTUs). Among cultured and uncultured samples we identified OTUs similarity with 47 bacterial orders belonging to 15 phyla and 39 fungi orders blonging to 2 phyla. For the first time we demonstrated isolation and sequencing identification of fungal blood microbiota in healthy individuals. Blood-group differences were identified among the bacterial microbiome compositions. Conclusion: The dormant blood microbiome is innate of the healthy individuals. Interventional strategies to bind the host blood microbiome with the states of health and disease remain an unmet research goal.
Tres lógicas de acción y reacción para la monopolización de los mercados de semillas en Colombia

Además del avance de las leyes de propiedad intelectual y de la criminalización de las semillas no certificadas, la monopolización de los mercados de semillas incluye el despliegue de estrategias narrativas. Mediante el análisis de tres conflictos alrededor de las semillas transgénicas de algodón en Colombia, se analizan tres narrativas que le sirven al ICA y a las multinacionales semilleras para atribuir éxito a las semillas transgénicas y para evadir responsabilidades cuando estas tienen un pobre desempeño. Me refiero a narrativas de elección, de cuidado y de descalificación que son construidas ignorando la intervención del Estado en la construcción de mercados, el trabajo de los agricultores en el cuidado de las semillas y las características singulares de las semillas convencionales “acriolladas” en los ecosistemas locales.
ESTIMATION OF SORGHUM SUPPLY ELASTICITY IN SOUTH AFRICA

This study aims to estimate sorghum supply elasticity in South Africa. The study used time series data spanning from 1998 to 2016, obtained from the abstracts of agricultural statistics. The Variance Error Correction Model was employed; the study used two dependent variables, these being area and yield response functions. The results have shown that the area response function was found to be a robust model as most of the variables were significant, responsive and elastic. Maize price, as a competing crop for sorghum, negatively influenced the area allocation; however, the remaining variableshad a positive impact on area allocation in the long-run. The yield response function was found not to be robust and hence not adopted. It was therefore concluded that the area response function is more robust than the yield response function, hence sorghum production has shown more response to areaallocation than yield. The findings further indicated that the error correction term for area and for the yield response function was –1.55 and –1.30, respectively. This indicated that the two models were able to revert to equilibrium. Based on the findings, the study recommends that amongst other methods to enhance sorghum output, producers could use improved varieties or hybrids, as this action would result in allocation of more land to sorghum production, following price change.
The Impact of Service Quality on Students' Satisfaction and the Word-of-Mouth: The Case of the University of Rijeka Departments

The purpose of this paper is to determine the impact of service quality perceived by science, technology, engineering and mathematics (STEM) and informationcommunication (IC) students of the University ofRijeka Departments on students' satisfaction and positive word-of-mouth. Based on the extensive literature review, the survey method was used to explore the relationships between the following variables: service quality, students' satisfaction, and word-of-mouth. The data were collected through an online self-administrated structured questionnaire administered to undergraduate and graduate STEM and IC students of the University of Rijeka Departments using Google Docs Forms. The findings provide some important insights into how the service quality impacts the students' satisfaction and word-of-mouth, in a Croatian higher education context. A high positive significant impact of service quality on students' satisfaction and word-of-mouth clearly indicates that it is an imperative for higher education sector. Based on the results and remarks of this study improvements can be planned and concluded across all dimensions. Policy makers in the industry in general and in the higher education sector, in particular, may benefit from the findings of this study.
In praise of descriptive research

In 2016, we asserted that “the replication crisis” in the human sciences was not a single problem, but rather a set of problems loosely related to the reliability of the claims that human scientists had made about their work (Bulbulia, Spezio, Sosis, & Wildman, 2016). We discussed several proposals for addressing the reliability problem such as pre-registration, meta-analysis, and the use of probabilistic statistics. We urged that, despite their individual merits, an indiscriminate application of such proposals risks falling into an all-or-nothing ideal of scientific progress. According to this all-or-nothing image, a hypothesis is either supported or it is not supported. We argued that science does not work that way. Every result is provisional; and even when results fail to meet a customary standard we can learn from them. We maintained there is no substitute for careful reporting and a clear accounting of inferential strategies (Bulbulia et al., 2016, p. 276) Here, we expand on these claims by arguing for the importance of descriptive research. The distinction between “theoretical/confirmatory research” and “descriptive/exploratory research” is common across the human sciences but a narrow preference for research at the theoretical/confirmatory end of the spectrum should be challenged on at least three grounds. First, theories and descriptions are interdependent. Not only are theories grounded in observations, every theory prefers certain types of observations over others. In his autobiography, Darwin wrote:
Statistical Modelling Issues in School Effectiveness Studies

SUMMARY The assessment of school effectiveness in educational research studies is considered from the viewpoint of statistical modelling. A variety of models are applied to a set of data on 907 pupils in 18 schools from one Local Education Authority. We argue for the general use of variance component or "random parameter" models for the analysis of such studies involving clustered observations. For the data examined, the model which regresses school mean outcome on school mean intake (i.e. the "means on means" model) is shown to give estimated school effects considerably different from those produced by other models. In the light of our results, we comment on several recent large-scale British studies of school effectiveness.
Analyzing the effects on the internal signal-to-noise ratio for bilateral hearing-aid systems configured for asymmetric processing

This paper investigates how bilateral hearing-aid systems configured to perform asymmetric processing affect the internal signal-to-noise ratio (SNR) in the auditory system. Here, an asymmetric hearing-instrument (HI) system is characterized by directional noise reduction in the instrument in one ear whereas the contra-lateral device is adjusted for omni mode processing. The Equalization and Cancellation model is used to evaluate the internal SNR of the auditory system. Two reference conditions were also created, a system with directionality in both HI, and one with omni-mode processing in both HI. A speaker was placed to the front, and another speaker was placed at the side. In the first experiment, the target was assumed to be in the front direction and the noise was assumed to be coming from the side. Here, it was shown that the asymmetric system provided the same SNR as the system with directionality in both HI. The noise and target positions were interchanged and the experiment was repeated. In this case, the asymmetric system provided similar SNR as the system with omni-mode processing in both HI, which for this test condition provided a better SNR than the system with directionality in both HI.
USING THE DEWIS-R INTERFACE TO CREATE STATISTICS E-ASSESSMENTS

We report on the creation of statistics e-Assessments using the Dewis-R interface. Dewis is a fully algorithmic open source e-Assessment system designed and developed at the University of the West of England, Bristol (UWE). Dewis’ ability to communicate with the R statistical programming language greatly facilitates the task of generating bespoke datasets and their subsequent analysis. The Dewis-R interface is an e-Assessment authoring tool where the questions are composed using a simplified Dewis question structure. This simplification is possible since the statistical computations are performed by R and not Dewis. As such, Dewis supplies the administration of the assessment but not the computations. Examples of e-Assessments will be presented that demonstrate the Dewis-R interface syntax and facilities. The work is part of an ongoing UWE Learning & Teaching project to create an e-Assessment community of educators who will be able to author and share relevant, authentic and engaging statistics e-Assessments that enrich the learning experience of students. The authors welcome contact from any such interested parties.
Modeling instrumental gestures: an analysis/synthesis framework for violin bowing

This work presents a methodology for modeling instrumental gestures in excitation-continuous musical instruments. In particular, it approaches bowing control in violin classical performance. Nearly non-intrusive sensing techniques are introduced and applied for accurately acquiring relevant timbre-related bowing control parameter signals and constructing a performance database. By defining a vocabulary of bowing parameter envelopes, the contours of bow velocity, bow pressing force, and bow-bridge distance are modeled as sequences of Bézier cubic curve segments, yielding a robust parameterization that is well suited for reconstructing original contours with significant fidelity. An analysis/synthesis statistical modeling framework is constructed from a database of parameterized contours of bowing controls, enabling a flexible mapping between score annotations and bowing parameter envelopes. The framework is used for score-based generation of synthetic bowing parameter contours through a bow planning algorithm able to reproduce possible constraints imposed by the finite length of the bow. Rendered bowing control signals are successfully applied to automatic performance by being used for driving offline violin sound generation through two of the most extended techniques: digital waveguide physical modeling, and sample-based synthesis.
Laser Cooling and Inelastic Collisions of the Polyatomic Radical SrOH

Polyatomic molecules, while ubiquitous in nature, were generally perceived as too complicated and “unruly” for the majority of quantum physics experiments. However, recent theoretical analyses have pinpointed the multiple advantages of using complex molecules for diverse applications such as the creation of a universal quantum computer, quantum simulation of non-trivial many-body states, and tests of fundamental physical laws. Throughout my dissertation research I focused on extending experimental techniques from atomic physics to complex molecules. The goal of my work was to not only demonstrate new ways to control molecules, but also develop a novel experimental platform for quantum science – complex polyatomic molecules – and provide tools for physicists to conquer new frontiers in physics and chemistry. The main theme of this thesis is the use of laser radiation to control internal and external degrees of freedom for the triatomic radical strontium monohydroxide (SrOH). The research achievements presented here can be primarily divided into the following areas: i) out-of-equilibrium studies of vibrationally inelastic collisions at cryogenic temperatures, ii) demonstration of the radiation pressure force and the direct laser cooling of polyatomic molecules, and iii) the development of concepts for laser cooling of molecules with six and more atoms. For the collisional studies, offdiagonal optical pumping was used to populate excited Sr-O stretching state and the ratio of elastic to vibrational quenching collisions was determined to be ∼ 700. In the laser cooling work, using only laser light, the transverse temperature of the cryogenic buffer-gas beam of SrOH was reduced from 50 mK to below 1 mK, leading to an order of magnitude increase in phase space density of the molecular beam. Additionally, the prospects of using a coherent bichromatic force for optical
Static cushioning energy absorption of paper composite sandwich structures with corrugation and honeycomb cores

In view of cushioning energy absorption of paper composite sandwich structures with sinusoidal corrugation and hexagonal honeycomb cores, the static yield strength and compression deformation were firstly analyzed by experiments, then the unit volume energy absorption, unit area energy absorption, and specific energy absorption were evaluated. Further, the influences of static compression rate, corrugation types, and honeycomb thickness on the cushioning energy absorption were respectively studied. The experimental observations show that the paper composite sandwich structures are crushed layer by layer due to the difference in the yield strength of sandwiches, and the honeycomb core is crushed after the collapsing of corrugation core. The three evaluation indices of cushioning energy absorption have similar change rule with the compression rate, corrugation types, and honeycomb thickness. The influence of static compression rate on the yield strength and cushioning energy absorption of the paper composite sandwich structure is not obvious. The composite sandwich structures consisting of paper corrugation sandwich with large inertia moment and honeycomb sandwich with large thickness have more excellent cushioning energy absorption, the B-corrugation can increase the unit volume energy absorption of paper composite sandwich structures by up to 18% than C-corrugation, and the 3-honeycomb can increase the unit volume energy absorption of paper composite sandwich structures by up to 32% than 2-honeycomb.
Logical-mathematical game in the context of early education. A study about the Romanian preschool teachers

In this paper, we intend to provide explanations for the fact that logical-mathematical games (a teaching method in which simulated procedures prevail and its goals are to build the capacity to understand the causal relations between actions and events, to develop logical reasoning, and to perform operations and logical deductions) have a lower recurrence in current educational activities, although their importance is well known. We have studied the hypothesis of a dependence between experience and use of the logical-mathematical game in daily teaching activities, t he hypothesis that the teacher who has already used logical-mathematical games is more flexible in adapting a teaching game to become a logical-mathematical game, t he hypothesis of teachers who have already used logical-mathematical games being more willing to apply this type of game to a wider variety of target groups, the hypothesis that there is a direct connection between a teacher’s past experience with logical-mathematical games and his/her willingness to use a variety of resources and high professional standards in planning them. The research provides statistically significant evidence suggesting that only teachers with less experience/seniority in education appear more interested in using logical-mathematical games in daily teaching activities, and teachers who have experience with logical-mathematical games rely more on that very experience in planning teaching than on specialist reference. Additionally, educators with little interest in teaching mathematics itself had low capacity to do exercises that involve a high effort in teaching and limited willingness to conceive, design and implement complex projects.
Performance Comparison of CRUD Operations in IoT based Big Data Computing

Nowadays, due to the development of mobile devices, the kinds of data that are generated are becoming diverse, and the amount is becoming huge. The vast amount of data generated in this way is called big data. Big data must be processed in a different way than existing data processing methods. Representative methods of big data processing are RDBMS (Relational Database System) and NoSQL method. We compare NoSQL and RDBMS, which are representative database systems. In this paper, we use MySQL query and MongoDB query to compare RDBMS and NoSQL. We gradually compare the performance of CRUD operations in MySQL and MongoDB by increasing the amount of data. MongoDB sets index and compares it again. Through result of these operations is to choose a database system that fits the situation. This makes it possible to design and analyse big data more efficiently.