Miracle-dz/UniFAR-FTUs huggingface dataset:
Uncertainty visualization of gaze estimation to support operator-controlled calibration

In this paper, we investigate how visualization assets can support the qualitative evaluation of gaze estimation uncertainty. Although eye tracking data are commonly available, little has been done to visually investigate the uncertainty of recorded gaze information. This paper tries to fill this gap by using innovative uncertainty computation and visualization. Given a gaze processing pipeline, we estimate the location of this gaze position in the world camera. To do so we developed our own gaze data processing which give us access to every stage of the data transformation and thus the uncertainty computation. To validate our gaze estimation pipeline, we designed an experiment with 12 participants and showed that the correction methods we proposed reduced the Mean Angular Error by about 1.32 cm, aggregating all 12 participants' results. The Mean Angular Error is 0.25° (SD=0.15°) after correction of the estimated gaze. Next, to support the qualitative assessment of this data, we provide a map which codes the actual uncertainty in the user point of view.
RBF Neural Network Control for Linear Motor-Direct Drive Actuator Based on an Extended State Observer

Hydraulic power and other kinds of disturbance in a linear motor-direct drive actuator (LM-DDA) have a great impact on the performance of the system. A mathematical model of the LM-DDA system is established and a double-loop control system is presented. An extended state observer (ESO) with switched gain was utilized to estimate the influence of the hydraulic power and other load disturbances. Meanwhile, Radial Basis Function (RBF) neural network was utilized to optimize the parameters in this intelligent controller. The results of the dynamic tests demonstrate the performance with rapid response and improved accuracy could be attained by the proposed control scheme.
Large Scale Calibration for Augmented Reality on Construction Sites

Accurate calibration methods are a key to achieve accurate registration in AR systems. Most calibrations developed thus far represent the system accuracy as pixel errors regardless of the view distance. Examination of work tasks in construction, however, indicates that the system accuracy may not satisfy the accuracy demands of specific work tasks due to variations in the view distance. This indicates the necessity of large scale calibration for construction sites for seeing objects at longer ranges with satisfactory system accuracy. This paper proposes a new scheme for large scale AR calibration for construction sites.
An Impact Estimator Using Propensity Score Matching: People’s Business Credit Program to Micro Entrepreneurs in Indonesia

P eople’s business credit program (KUR) has been launched to alleviate poverty through provision of micro financing to micro entrepreneurs in Indonesia This study aims to estimate the impact of KUR program using cross-sectional data and propensity score matching technique (PSM). The survey was conducted on 332 household entrepreneurs, consisting of 155 KUR receivers and 177 non-KUR receivers. Results show that KUR has impacts on increasing profits, total revenues, number of employees, and asset ownerships. KUR program also has impacted on reduction of food spending share. As such, KUR can play an important role to alleviate poverty and unemployment.
PHYLOGENETIC RELATIONSHIPS AMONG CHILEAN SPECIES OF DRIMYS ( WINTERACEAE ) BASED ON ITS SEQUENCES AND INSERTION / DELETION EVENTS RELACIONES FILOGENETICAS ENTRE

Phylogenetic relationships among Chilean species of Drimys as well as D. granadensis from Central America and D. angustifolia from Brazil were reconstructed using internal transcribed spacers (ITS) of nuclear ribosomal DNA and a parsimony analysis. Our results at the family level were congruent with previous phylogenetic hypotheses. Molecular data indicate that the Juan Fernandez Island endemic D. confertifolia diverged early in the evolution of the genus, and it is not closely related to the continental species D. winteri, as might be expected on the basis of morphology and biogeography. The ITS phylogeny also provides general support for a recent distribution of species on the western side of the Andes Mountains; the only exception is D. andina, which may represent an early divergence that occurred just before the Quaternary. The only species examined from east of the Andes, D. angustifolia, also represents an early divergence in the genus, which is in agreement with the ancient pollen record in Argentinean Patagonia and the lack of Tertiary records in Chile.
teacher stereotypes about school tracks function as expectations at the collective level and do they relate to the perception of obstacles in the classroom and to teachers ’ selfe ffi cacy beliefs ?

Abstract 1 The eff ects of individual teacher expectations have been the subject of intensive research. Results indicate that teachers use their expectations to adapt their interactions with their students to some degree (as summarized in a review by Jussim & Harber, 2005). This can in turn lead to expectancy-confi rming student developments. While there are studies on the Pygmalion eff ect on individual students, there is only little research on teacher judgements of whole classes and schools. Our study aims to extend the perspective of teacher judgements at the collective level to stereotypes within the context of school tracking. The content and structure of teachers’ school track stereotypes are investigated as well as the question of whether these stereotypical judgements are related to teachers’ perception of obstacles to their teaching and their teaching self-effi cacy beliefs. Cross-sectional data on 341 teachers at two diff erent school types from the Panel Study at the Research School „Education and Capabilities“ in North Rhine-Westphalia (PARS) (see Bos et al., 2016) were used for two purposes: First, the structure of teachers’ stereotypes was identifi ed via an exploratory factor analysis. Second, in followup regression analyses, the stereotype dimensions extracted were used to predict teachers’ perceptions of obstacles to their classroom work and their individual and collective teacher self-effi cacy beliefs. Results showed that – after controlling for the average cognitive abilities and the average cultural capital of the students
Multi-echelon supply chain network modelling and optimization via simulation and metaheuristic algorithms

An important problem in todays industries is the cost issue, due to the high level of competition in the global market. This fact obliges organizations to focus on improvement of their production-distribution routes, in order to nd the best. The Supply Chain Network (SCN) is one of the, so-called, production-distribution models that has many layers and/or echelons. In this paper, a new SCN, which is more compatible with real world problems is presented, and then, two novel hybrid algorithms have been developed to solve the model. Each hybrid algorithm integrates the simulation technique with two metaheuristic algorithms, including the Genetic Algorithm (GA) and the Simulated Annealing Algorithm (SAA), namely, HSIM-META. The output of the simulation model is inserted as the initial population in tuned-parameter metaheuristic algorithms to nd near optimum solutions, which is in fact a new approach in the literature. To analyze the performance of the proposed algorithms, di erent numerical examples are presented. The computational results of the proposed HSIM-META, including hybrid simulation-GA (HSIM-GA) and hybrid simulation-SAA (HSIM-SAA), are compared to the GA and the SAA. Computational results show that the proposed HSIM-META has suitable accuracy and speed for use in real world applications.
Evaluation of adaptability potential of seven Iranian pomegranate cultivars in Southern Iran , Arsenjan region

Present study was carried out to compare leaf mineral composition and some physiological parameters in seven Iranian pomegranate cultivars for evaluation of their adaptability differences in Arsenjan region/Fars province/southern Iran and selecting probable more abiotic tolerant cultivars in this region. Uniform and healthy rooted plants of seven commercial pomegranate cultivars were purchased from a commercial nursery and planted in a completely randomized block design in an orchard site in Arsenjan region. After full establishment the orchard samples (fresh leaves) were taken and transferred to lab for analysis. Cultivars included: Malas Yousefkhani Saveh, Naderi Badroud, Malas Daneh Ghermez Yazd, Rabab Neiriz Fars, Shirin Shahvar Fars, Shirin Poust Daneh Ghermez and Zard Anar Arsenjan. Significant differences were found among studied pomegranate cultivars for concentrations of leaf potassium, calcium magnesium, sodium and Iron concentrations. Also parameters such as leaf total chlorophyll and carotenoids content, total sugars, relative water content and electrolyte leakage, α-tocopherol and ascorbic acid concentration were significantly different in studied cultivars. ‘Zard Anar Arsenjan’, an indigenous cultivar of the region, and ‘Rabab Neiriz Fars’ were evaluated as probable more tolerant cultivars in comparison to other cultivars. This can be attributed to their more optimized leaf mineral composition and antioxidant statues. (*) Corresponding author: babakjamali@ymail.com Received for publication 29 March 2017 Accepted for publication 25 May 2017 Copyright: © 2017 Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Adv. Hort. Sci., 2017 31(2): 97-105 98 ents influence (Hajiboland, 2012). Cultivars with a higher capacity for macro and micronutrients absorption possess a more efficient growth and development cycle, with a better adaptability to environmental conditions (Jamali et al., 2015). Previous literatures on comparison of differences in leaf mineral composition and also physiological characteristics in various Iranian pomegranate cultivars are limited (in comparison to other important crops) and more investigations for evaluation of adaptability potential in different pomegranate cultivars seem necessary. So the goal of the present study was to compare leaf mineral composition and also some physiological and biochemical parameters in seven Iranian cultivars for a deeper understanding of their adaptability differences and selecting probable more tolerant cultivars in Arsenjan region. 2. Materials and Methods
Business Excellence model for supply chain management

Supply chain management (SCM) has been increasingly adopted by companies worldwide so as to utilize better their supply chain activities for competitive advantages. This paper reviews the relationships between total quality management (TQM) and SCM and concludes that existing SCM models have inadequacies which can be enriched by TQM principles and concepts. The authors selected Kanji’s Business Excellence model, which uses TQM principles and concepts to help companies achieve business excellence, to ful® l the inadequacies of the existing SCM models and to create a new structured model for SCM. The model was tested with the data using the supply chain activities of 139 companies in Hong Kong. The results support that the structured model provides a good ® t for the supply chain activities. Business excellence indices, which can be obtained for companies’ SCM, can be further developed based on this new model.
Investigating leadership practices in retail banking in South Africa: a case study of Nedbank

The purpose of the cross-sectional study was to determine the leadership practices in a retail bank in South Africa. A self-administered anonymous questionnaire was used to collect the data, using an online survey tool (QuestionPro). A total of 60 managers completed the questionnaire. Results showed that there was a significant relationship between leadership practices and leadership style in the organization. Transformational, transactional and laissez-faire leadership styles were the important predictors, which influenced the leadership practices of the managerial bank employees. Therefore, managers should adopt different leadership behavior, depending on several other situational factors that come to hand.
Cross Country Evidence on Consumption Persistence

The detection and measurement of the level of persistence on aggregate and disaggregate private consumption in Italy, Norway and United Kingdom is the main focus of the paper. Using a non-parametric methodology applied to annual data it is concluded that that one cannot reject the presence of a significant process of persistence in aggregate and disaggregate consumption in the three countries, even though each one displaying different levels of persistence. In particular, durables (furnishing and housing & utilities) display a lower degree of persistence when compared with non-durables. These results are imperative from a policy point of view as they may affect the effectiveness of countercyclical fiscal and monetary policies that are currently being implemented to overcome the current economic crisis. Persistence in consumption does exist and cannot be ignored, whether the goal is to stabilize the level of output via consumption or to burst output via long-lasting increases in consumption. Being the case that cultural differences are not easily changed, a possible instrument is the interest rate. Our results do show that a decrease in the interest rates, in order to boost investment, may also lead to non desirables results from the viewpoint of consumption, in particular for the durables categories
Appropriation of the Gender of Science Communication by Children: Fragments of a Journey

The purpose of this study is to understand which textual skills children appropriate in interactive situations with science communication texts. For this, oral and written texts were analyzed where children expressed their understanding about a scientific concept. The theoretical and methodological perspective of the analysis draws on the Bakhtin’s conceptions of verbal interaction and in the micro genetic analysis. Scenes of work from science classes were recorded. The participants were 9-10 years-old children who attended the 4th year of a public elementary school in Belo Horizonte. The analysis of both the episodes and the texts produced by the children showed that the interaction with science communication texts provided to children starting to read an opportunity to appropriate textual skills reflected on the speech and writing during a science class to be closer to the knowledge produced from science communication texts. However, it was observed that such process does not occur spontaneously, since it is necessary that the educational context provides support to work with the language, instead of only talking about it. Therefore, science communication texts may enable to express the knowledge, the appropriation of strategies and textual skills along with the ability of using an explanatory language.
The effect of glucocorticoid myopathy, unloading and reloading on the skeletal muscle contractile apparatus and extracellular matrix

During three weeks of hindlimb suspension muscle mass decreased 36% (p Soleus (Sol) muscle, 17% (p tendences to decrease in plantaris (Pla) (15%) and in extensor digitorum longus (EDL) (8%) muscles. Hindlimb grip strength decreased gradually during three weeks of unloading. Specific mRNA level for type I collagen decreased during three weeks of unloading in Sol muscle by 28% (p 34% (p<0.05). mRNA level for type III collagen decreased in Sol by 22%
Approaching Quality in Survey Research: Towards a Comprehensive Perspective

The article has two goals: (1) bring attention to the problem of inappropriate treatment of survey data quality issues in the social sciences, and (2) introduce the basic principles of contemporary approaches to survey quality. If quality evaluation focuses solely on sampling error, most aspects of data quality are ignored and surveys are assumed to have ‘ideal’ statistical characteristics that are rarely attainable in the pragmatic world of survey fieldwork. A complex overview of the entire process of data collection provides a more solid foundation for evaluating data quality. Under this approach, quality is ensured by controlling the whole survey process. Accuracy, which is commonly elaborated using the concept of survey error, ceases to be the only dimension of quality. Nevertheless, this data quality component is crucial for data analysis and statistical testing. A comprehensive approach to survey data quality requires us to take account of complex sample designs when evaluating sampling error and to identify and distinguish between different dimensions of nonsampling error. Analysts who are not directly involved in data collection have limited ability to obtain information necessary for data quality evaluation. There are two types of quality standards: administratively imposed standards (ISO20252:2006) and the technical and ethical criteria of professional associations (e.g. ICC/ESOMAR, AAPOR/WAPOR, SIMAR). These help break this information barrier between data producers and data users.
Effect of In Vitro Nitrogen Nutrition to Phalaenopsis deliciosa Seedling Growth

In a continuous effort to conserve Phalaenopsis species, the optimization of a previously designed defined medium was carried out to understand the effect of in vitro nitrogen nutrition on Phalaenopsis deliciosa Rchb.f. In order not to alter the nutrient balance, macronutrient level instead of solely Nitrogen (N) was adjusted. Seedlings were obtained from in vitro germination and randomly inoculated on media with various macronutrient levels (0.3×, 0.5×, 1×, 2× and 3×). Maximum shoot yield was observed at 2× macronutrient level. However, the best macronutrient level, which was 1× macronutrient level, resulted in the maximum root and seedling yield. This macronutrient level was applied on the subsequent experiment where seedlings were inoculated on media with various nitratenitrogen (NO3-N) to ammonium-nitrogen (NH4-N) ratios. Seedling yield was the highest at NO3-N/NH4-N ratio of 2.0 while Root to Shoot ratio (R/S) was the highest at NO3-N/NH4-N ratio of 5.0. NO3-N/NH4-N ratio significantly affected Water Content (WC) of seedlings and the response to NO3-N/NH4-N ratio was similar to R/S, correlating better root development to higher WC. By altering NO3-N/NH4-N ratio, plant quality in terms of yield and organ development could be encouraged.
Tweets sentiment and their impact on stock market movements

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Tailoring a broad coverage grammar for the analysis of dictionary definitions

Syntactic analysis Is the first step of a two-stage strategy for extracting semantic lnformatk>n from dictionary definitions. By parsing definitions wtth a broad coverage Italian grammar, the dbtlnguishlng properties of dictionary language can be dkcovered. namely, greatly reduced amblgutty and otherwtee Ill-formed Input which occurs regularly In definition texts. These properties have been explotted for tailoring an existing parsing system to meet the needs ofdictionary text type: a post­ processor which modtfles and Improves the parses produced by the general grammar has been added. ThIs refinement Is illustrated by means ofexamples.
Gains and losses of information when collaborating remotely over a network communication in the construction industry

The AEC industry traditionally has a high degree of organisational fragmentation so that on any one scheme, there are typically multiple organisations who come together and have to collaborate to deliver the end product. Additionally, there is an increasing trend towards the partners on a scheme being based in several countries. Thus, the industry creates a significant need for collaboration between remotely situated people. Traditionally this has been met either by collocation or having meetings to which people travel. Collocation is expensive and disruptive and takes people away from their colleagues, family and support systems. Meetings are likewise expensive and considerable amounts of time can be wasted travelling. There has therefore been a growing trend for people to collaborate over a network using a variety of tools. At the lowest level, this involves using email which is very restrictive. More recently with higher bandwidths becoming common place, the adoption of relatively sophisticated collaboration systems has become more common. These typically allow features such as desktop sharing, chat, audio and visual communication and recording the session. It is generally accepted that human communication is typically only about 50% verbal and the rest is things such as body language, gestures etc and hence any remote collaboration is bound to be less satisfactory than a face to face meeting. The authors have set out to try and examine how well remote communication works for typical engineering design tasks. The work started with an examination of some of the available software tools and was then followed by a series of experiments in which candidates undertook various design tasks using collaboration software. To provide a comparison, a series of identical tasks were also undertaken by participants working face-to-face. The sessions were undertaken in purpose built laboratories that allowed the full recording of the events. The results were carefully analysed using various metrics which measure time spent on social activities, technical activities, decision making etc. Also the time spent on the various activities was measured. The results are interesting in that they show for some of the experiments that for technical tasks, working over a network can actually increase the efficiency of the process.
Time Series Analysis Indicators under Directional Changes: The Case of Saudi Stock Market

We introduce a set of time series analysis indicators under an event based framework of directional changes (DC) and overshoots. Our aim is to map continuous financial market price data into the so-called DC Framework - A state based discretization of basically dissected price time series. The DC framework analysis relied on understanding the price time series as an event-based process, as an alternative of focusing on their stochastic character. Defining a scheme for state reduction of DC Framework, we show that it has a dependable hierarchical structure that permits for analysis of financial data. We show empirical examples within the Saudi Stock Market. The new DC indicators represent the foundation of a completely new generation of financial tools for studying volatility, risk measurement, and building advanced forecasting and automated trading models