Miracle-dz/UniFAR-FTUs huggingface dataset:
A review of feature detection and match algorithms for localization and mapping

Localization and mapping is an essential ability of a robot to keep track of its own location in an unknown environment. Among existing methods for this purpose, vision-based methods are more effective solutions for being accurate, inexpensive and versatile. Vision-based methods can generally be categorized as feature-based approaches and appearance-based approaches. The feature-based approaches prove higher performance in textured scenarios. However, their performance depend highly on the applied feature-detection algorithms. In this paper, we surveyed algorithms for feature detection, which is an essential step in achieving vision-based localization and mapping. In this pater, we present mathematical models of the algorithms one after another. To compare the performances of the algorithms, we conducted a series of experiments on their accuracy, speed, scale invariance and rotation invariance. The results of the experiments showed that ORB is the fastest algorithm in detecting and matching features, the speed of which is more than 10 times that of SURF and approximately 40 times that of SIFT. And SIFT, although with no advantage in terms of speed, shows the most correct matching pairs and proves its accuracy.
Pengaruh Ketidakpastian Lingkungan terhadap Karakteristik Sistem Informasi Akuntansi Manajemen dengan Locus Of Control sebagai Variabel Moderasi (Survei pada Perusahaan Ritel Modern di Kota Jambi)

Penelitian ini bertujuan untuk mengetahui pengaruh ketidakpastian lingkungan terhadap karakteristik sistem informasi akuntansi manajemen dan untuk mengetahui moderasi locus ofcontrol terhadap hubungan antara ketidakpastian lingkungan dan karakteristik sisteminformasi akuntansi manajemen. Penelitian ini merupakan penelitian survei denganmenyebarkan kuesioner secara langsung kepada sampel. Populasi dalam penelitian ini adalahtop management level dan middle management level pada perusahaan ritel modern di kotaJambi. Penelitian ini menggunakan teknik penarikan sampel purposive sampling. Jumlahsampel dalam penelitian ini sebanyak 57 responden, yang terdiri dari manajer cabang,manajer divisi, area supervisor, back office supervisor, dan kepala toko. Teknik analisis datamenggunakan analisis regresi linier sederhana dan analisis regresi dengan variabel moderasi.Hasil penelitian ini menunjukkan bahwa (1) ketidakpastian lingkungan berpengaruh terhadapkarakteristik sistem informasi akuntansi manajemen (2) locus of control tidak dapatmemoderasi hubungan antara ketidakpastian lingkungan dan karakteristik sistem informasiakuntansi manajemen.
Man-Up When Down — Gender-Specific Coping With Life Stressors

Socialization into gender roles shapes the perception of the world from an early age which might, amongst others, constrain how one handles challenging situations. Therefore, this research aimed at investigating gender-specific coping mechanisms following life stressors in a nonclinical sample. The present study first hypothesized that women are more likely than men to seek emotional social support. A second hypothesis concerned that men are more likely than women to use substances, in line with the self-medication hypothesis. The third hypothesis maintained that those who embrace stereotypical gender roles implicitly manifest more extreme coping mechanism and that this implicit association variable proves better than the original gender variable at predicting coping. In total, 132 participants completed an online questionnaire including the Life Stressor Checklist–Revised, the COPE Inventory, an experimental design of the Implicit Association Test as well as an explicit measure, both to examine the gender self-concept. The results supported that men tended to be less likely to seek social support and more likely to use substances than women. Contrary to predictions of the third hypothesis, a stereotypically masculine or feminine self-concept only predicted coping with social support but not with substance use. Hence, this implicit variable was a superior predictor to gender with social support whereas the reversed pattern emerged for substance use. These findings could lead to an increased consideration of implicit gender stereotypes to unveil their hidden toxic influence on mental health.
Shape-Changing Break Reminders for People with Repetitive Strain Injury

People with Repetitive Strain Injury performing computer work for more than 4-5 hours/day are recommended to take microbreaks (30 sec to 1 min) every hour to reduce their symptoms. This is difficult during work as other things occupy their mind. While notifications can be used as reminders, they adversely impact the affective state and productivity of the user. Shape-changing devices demonstrate potential as they can provide passive awareness. We conducted an ideation session with HCI professionals to identify opportunities for shape-changing break reminders and interactive sessions with people with RSI. We found that the participants struggled to take enough breaks, found notifications inadequate, and modified their primary task to incorporate movement. They demonstrated an aversion to disruption, were receptive to shape-changing break reminders, and desired to emotionally engage with them. This demonstrates the potential of shape-changing break reminders as can be ambient and engender emotions through physical transformation
Rice Grain Classification using Fourier Transform and Morphological Features

Background: Rice (Oryzasativa) is one of the most widely consumed staple foods, especially in the Asian subcontinent. Traditionally, grain testers who make use of calipers and other specialized tools for measuring features of grains are employed for classifying rice grains into different varieties. However, besides size and shape, various other characteristics, such as whiteness and chalkiness, also contribute towards its taste and overall quality. Objective: Computerized classification of rice grains can help in reducing errors of manual grading and in considering more features that indicate quality. The proposed work considers few commercially available rice grains in the South-Indian region to identify new attributes for better grain classification. Methodology: Rice samples were collected from rice outlets across Karnataka. Images of the grains were captured using flat-bed scanning technique and processed to extract new features that represented chalkiness and whiteness of grains along with other morphological features such as area, perimeter, major and minor axes, etc. Machine learning algorithms were used to create classification rule. Findings: The new features extracted were found to contribute significantly towards the classification. Nine varieties of rice grains were considered for the study and the system was able to successfully classify the grains with an accuracy of 95.78% using the NB Tree and SMO classifiers. Novelty: Many studies that consider the morphological features of grains such as its area, shape etc. have already been performed. However, the shapes and sizes of the different varieties are too varied to generalize a common formula for the classification of all varieties of rice. In this paper, Fourier features are also extracted from grain images in addition to the spatial features to arrive at an improved accuracy for classification.
Psychological Reactance Scale Development and Test of Its Reliability and Validity in College Students

Objective: To develop a questionnaire of psychological reactance and test its reliability and validity. Methods: At first, the structure of trait reactance was proposed according to the Psychological Reactance Theory (PRT) and analysis on the related references included three main measurements of trait reactance, which were Questionnaire for the Measurement of Psychological Reactance (QMPR), The Therapeutic Reactance Scale (TRS), and The Hong Psychological Reactance Scale (HPRS). Based on this structure of trait reactance, the preliminary questionnaire was developed. The questionnaire was given to 1681 college students who were selected by convenient sampling in 6 universities in Wuhan. Results: Through exploratory factor analysis (n=479), the result indicated that the trait reactance consisted of opposite emotion, resistance to impact, refutation, paying regard to freedom, antiauthority and independence. The Cronbach’s alpha coefficient was 0.84 and the test-retest reliability was 0.86. Then confirmatory factor analysis (n=459) was used (χ / df=2.30, RMSEA=0.05, GFI=0.92, NFI=0.91, NNFI=0.94, CFI=0.94, IFI=0.95). Trait reactance was found negatively related to MMPI-K subscale score, positively related to trait anger, but not related to internality, state anxiety and trait anxiety. Three factors of 16PF (vigilance, dominance and self-reliance) and two factors of EPQ (psychoticism and neuroticism) positively predicted trait reactance. It was also found that different types of temperament varied in trait reactance. Conclusion: The results indicate that six-dimensional structure of trait reactance is supported and the questionnaire has good reliability and validity. It can be used to measure individual trait reactance, and to be applied in related psychological researches. Keywords—psychological reactance; psychological measurement; reliability; validity
Adaptation of the Youth Sport Values Questionnaire-2 Into Turkish Culture and Its Psychometric Properties

The aim of this study is to adapt the Youth Sport Values Questionnaire (YSVQ-2) developed by Lee, Whitehead, Ntoumanis and Hatzigeorgiadis (2008) into Turkish culture which is frequently used in the literature and to report its psychometric properties. A total of 292 athletes , aged between 11 and 18 (M=14.05, SD=1.92) constituted the study group. 175 of them are in secondary school and 107 are in high school. The validity of the YSVQ-2 analyzed with CFA. Fit indices values for all parameters were found to be good or excellent (Chi-square/df=1,79; GFI= 0,94; AGFI= 0,92; CFI= 0,97; NFI= 0,96; RMSEA= 0,05; SRMR= 0,06). In conclusion, it can be said that the data obtained from the Turkish form of YSVQ scale was described by the theoretical structure and reliability coefficients were sufficient to evaluate the value types of youth student athletes.
Ethical Aspects In Clinical Research

The Nuremberg code of 1947 was developed in response to the criminal experimentation on captive persons by the Nazis during the World War II and it clearly emphasized on the ethical conduct and the use of consent during experimentation. Consent should be given only after a proper understanding of the procedure and the risks involved. The current practice of obtaining consent prior to initiation of a study also addresses the competence of the investigator.
1113 A proposal of dynamic visual field as a new measure of visual function while driving

Drivers realize safety driving by iterating cognition, judgment, and operation sequences appropriately. Probability that the drivers have traffic accidents is increased when required visual information is missed in the phase of visual cognition that brings much important information. In this research, we focus on oversight of pedestrian and other objects while driving as an example of lack of visual information and clarify visual cognitive function relating to the oversight. Thus, we propose dynamic visual field (DVF) as a new measure to evaluate the cognition ability to detect a moving object in peripheral visual field. White solid circles are located concentrically on the black background and a subject gazes the center. One of the circles moves inside slightly and the subject answers the position of the moving circle while she/he notices its movement. First, the DVF is evaluated with a static condition corresponding to stopping driver as a fundamental condition. As a dynamic condition, a visual optical flow task corresponding to moving driver is added. In addition, a mental-arithmetic task is added to the DVF. From the experimental results, we show the validity of the proposed DVF method and some important characteristics of the cognition ability are shown by the method.
Do “complex needs” need “complex needs services”? (Part 2)

Purpose – This paper – the first of two – aims to trace the origins of, and suggest the underlying intentions behind, the recent appearance of the new term “complex needs”, amongst commissioners, service providers and some service user groups.Design/methodology/approach – The paper takes a narrative approach, describing the early appearance of the term “complex needs” in services for those excluded from and/or stigmatised in mental health services. This is then contextualised with UK Government policy papers.Findings – Contemporary usage of the term “complex needs” may at times be inconsistent and confusing; but it reflects government concerns that service provision has become too narrow in focus, and less needs‐led. The concept embodies an implicit critique of overly narrow practice, and holds the prospect of more systemic change.Originality/value – “Complex needs” is relatively new, as a quasi‐technical term; as is any analysis locating its usage in the context of current overly narrow service definitions.
El corpus paral·lel del Diari Oficial de la Generalitat de Catalunya: compilació, anàlisi i exemples d'ús

Summary: In this paper the process of compilation of the parallel corpus from the Official Diary of the Catalan Government (DOGC) is presented. It describes the downloading process, the tools and processes for the treatment and linguistic analysis. The final result is a big parallel corpus that is freely available in several formats and with several annotation levels. This corpus is a very valuable resource for different applications. As example, three possible fields of application are described: as a translation memory to be used in a Computer-Assisted Translation tool; for terminology extraction and query and for training statistical machine translation systems. Keywords: Parallel corpus, translation memory, terminology extraction, statistical machine translation, Natural Language Processing
Knowledge and parenting patterns with toddler’s growth and development

Many factors are related to the growth and development of children. The parent factors are important, such as knowledge and parenting pattern. The purpose of the study is to analyze the correlation between knowledge and parenting patterns with toddler’s growth and development in Pre-school class in urban area of Srijaya of Palembang city within year 2017. This sstudy is an observational research with a Cross-sectional study design; it was conducted in September to October 2017. This study was conducted in Pre-school class in urban area of Srijaya of Palembang city. The population was all toddlers who attended Pre-school Class in Srijaya Palembang in year 2017. Research Samples are all toddler who follow the Pre-school class in Srijaya Palembang in year 2017 that meet the criteria of inclusion and exclusion. This research using primary data. The instrument use questionaire for knowledge and collection of biodata. For parenting variables we use Parenting Style Questioner (PSQ). In growth variable we do the measurement of body weight and height, while variable of development done by using KPSP. The result is there is correlation between mother’s knowledge with child growth (p=0.047) and child development (p=0.001). There is relationship between parenting pattern with child growth (p=0.047) and child development (p=0.001). Conclusion: there is correlation between mother's knowledge with child growth and development and there is correlation between parenting pattern with growth and development of child.
Affective Commitment, Participative Leadership, and Employee Innovation: A Multilevel Investigation

Research investigating the relationship between organizational affective commitment and employee innovation has yielded scarce and inconsistent findings. This study examined the role of participative leadership in a team as a boundary condition of the effectiveness of organizational affective commitment predicting employee innovation. Data were collected from 343 employees in 34 teams from different Italian companies. The results from hierarchical linear modelling analysis indicated that the relationship between organizational affective commitment and employee innovation was stronger when team-level participative leadership was high. Our findings provide meaningful insights regarding the contextual conditions that strengthen the impact of organizational commitment on workplace innovation.
Context Aware Textual Entailment

ix CHAPTER 1 – PROBLEM STATEMENT . 1 1.1 Objectives . 7 CHAPTER 2LITERATURE REVIEW . 9 2.1 Inference Based on Text . 9 2.1.1 Statistical methods . 9 2.1. 2 Transformation based methods . 12 2.1. 3 Logic based methods . 13 2.2 Context . 14 2.2.1 Identity . 16 2.2.2 Status . 17 2.2.3 Location . 17 2.2.4 Time . 17 2.3 Text Representation . 20 2.3.1 Dependency graphs . 21 2.4 Common Sense Knowledge . 21 2.4. 1 WordNet . 22 2.4. 2 VerbOcean . 23 2.5 Related Corpora . 25 CHAPTER 3APPROACH . 26 3.1 Tools . 27 3.2 Corpus . 28
Internet addiction and loneliness as predictors of internet gaming disorder in adolescents

The purpose of this research is to present the relationship of teenagers’ internet gaming disorder (IGD) with their levels of internet addiction and loneliness, as well as to test the created model in terms of these relations. This research analyzes the predictive relationships among adolescents’ IGD, internet addiction and loneliness through the statistics program in accordance with the structural equation model. The research’s study group has been selected among teenage students in different schools in Ankara, during the 2018-2019 academic years using the random sampling method. Of the students, 305 are male and 101 are female. The participants were 406 students (males = 75.12%, female = 24.87%, Mage = 15.63 years, SDage = 1.11) aged between 14 and 18 years. The variables predicting IGD are internet addiction (β = 0.54) and loneliness (β = 0.11). Additionally, loneliness significantly predicts internet addiction (β = 0.24, p <0.01). Key words: Internet gaming disorder, internet addiction, loneliness, adolescents.
Spatial cue reproduction in modern receiver-in-the-ear hearing instruments

This study investigates the ability to preserve spatial cues in receiver-in-the- ear (RIE) instruments for six different hearing aid manufacturers. In this particular study, the instruments were fitted bilaterally assuming a symmetric hearing loss profile. In cases where the manufacturer recommended a specific programming option to maximize spatial awareness, this option was chosen. Otherwise, the default mode was applied. S2 and N4 audiograms were used to mimic hearing-loss and testing was performed in an anechoic chamber on a KEMAR head. In order to mimic the peripheral filtering of the auditory system the left and right signals were filtered using a gammatone-filterbank. ILD's were estimated at the output of each band across angles from 0-360 degrees and compared to the corresponding values of the open-ear-response. ITDs were determined by low-pass filtering the left and right input signals and using a cross- correlation technique in order to find their respective time shift. Distortions of ILDs were as large as 10 – 15 dB for certain manufacturers whereas ITD distortions lay between 20-100 μs.
Customer Evaluation And Profit Maximization Using Machine Learning for Offline Stores

Proper planning is essential for a long-term business. This can be done by implementing proper marketing strategies from time to time. Machine learning can play a key role in decision-making. Machine learning can play a key role in decision-making. This paper proposes a systematic approach which can help offline stores target their customers and obtain maximum profit by using the clustering application of machine learning. It helps offline stores get the benefits of the latest technologies in their business. The initial step for this system is to analyse the acquired sales data based on the purchase history, which will be used to group the customers. K-Means clustering is used to segment customers. Later, the most preferred product of each cluster is determined, and the result of this can be used by the shopkeepers to analyse their business and make good decisions for the long life of the business. It can assist offline stores in finding different groups of customers rather than viewing the entire customer as a single unit.
Anti-Icing Performance of Hydrophobic Silicone–Acrylate Resin Coatings on Wind Blades

The icing of wind blades poses a serious threat to the operation of wind turbines. The application of superhydrophobic coatings on wind blades can serve as a potential anti-icing method. This study presents the findings of simulations of the icing environment of wind blades coated with hydrophobic silicone–acrylate resin in an artificial climate chamber. Artificial icing tests were performed on NACA7715 wind blades with four different silicone–acrylate resin coatings and on uncoated wind blades, with test performed at five different wind speeds and three different angles of attack. Results show that wind blade surfaces with higher hydrophobicity yield better anti-icing performance, and that the ice mass of the wind blades decreases with increasing wind speeds and angles of attack. In addition, variations in ice mass, shape, and distribution on different wind blades indicate that increased hydrophobicity can help limit the areas that are subject to freezing. Hydrophobicity can affect the air cavities of the ice deposited on the wind blades, and surfaces with increased hydrophobicity can lead to lower ice mass and less ice adhesion. In brief, surfaces with higher hydrophobicity demonstrate better anti-icing performance and benefit from active de-icing.
Pathogen-Host Analysis Tool (PHAT): an Integrative Platform to Analyze Pathogen-Host Relationships in Next-Generation Sequencing Data

Summary The Pathogen-Host Analysis Tool (PHAT) is an application for processing and analyzing next-generation sequencing (NGS) data as it relates to relationships between pathogen and host organisms. Unlike custom scripts and tedious pipeline programming, PHAT provides an integrative platform encompassing sequence and reference file input, quality control (QC) reporting, alignment and variant calling, linear and circular alignment viewing, and graphical and tabular output. This novel tool aims to be user-friendly for biologists studying diverse pathogen-host relationships. Availability and Implementation The project is publicly available on GitHub (https://github.com/chgibb/PHAT) and includes convenient installers, as well as portable and source versions, for both Windows and Linux (Debian and RedHat). Up-to-date documentation for PHAT, including user guides and development notes, can be found at https://chgibb.github. io/PHATDocs/. We encourage users and developers to provide feedback (error reporting, suggestions, and comments) using GitHub Issues. Contact Lead software developer: gibbc@tbh.net
Exploring ensemble learning techniques to optimize the reverse engineering of gene regulatory networks

21 RESUMO . 23