Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge sharing process for pair programming practice among university students

Pair programming practice has been widely used as a pedagogical approach in educational setting specifically in the programming course. Most pair programming studies agree that this practice can foster knowledge sharing among students. However, the studies do not highlight knowledge sharing during pair programming practices and towards their performance. Therefore, the main aim of this study is to test the suitability of knowledge sharing activities by using Socialization, Externalization, Combination, and Internalization (SECI) model in pair programming practices (PPP) amongst students in higher learning institution. In achieving the main aim, this study involved experimentation in order to test the effectiveness of the SECI model. 202 participants were actively engaged in pair programming practices, and involved in the experimentation of the study. The findings reveal that there are significant direct effect of Socialization towards Externalization, Externalization towards Combination and Combination towards Internalization. However, the direct effect of Internalization towards Performance are not significant. In addition, the direct effect of SECI model for pair programming practices are not significant towards the performance of the students.
On-line human action recognition by combining joint tracking and key pose recognition

In this paper, we present a boosting approach by combining the pose estimation and the upper body tracking to on-line recognize human actions. Instead of using a predefined pose to initialize the human skeleton, we construct a key poses database with depth HOG features as searching indexes. When user enters the camera view, we automatically search the database to get the initial skeleton. Then we use the particle filter to track human upper body parts. At the same time, we feed the tracking joints into the hidden Markov models to on-line spot and recognize the performed action. In order to rectify tracking errors, we apply the action recognition results and reuse our key poses database to reinforce the tracking process. Our contributions of the proposed approach are three-fold. First, our method can recognize human poses and actions at the same time. Second, with the key poses database and action recognition results as the feedback, the tracking process becomes more efficient and accurate. Third, we propose a spotting method based on the gradient of HMM probabilities, which thus enables our method to achieve on-line spotting and recognition. Experimental results demonstrate the effectiveness of the proposed approach.
PRICE POINTS AND PRICE RIGIDITY ON THE INTERNET : A MASSIVE QUASI-EXPERIMENTAL DATA MINING APPROACH

We investigate the extent to which “9” price-endings (i.e., 9¢, 99¢, $9 and $99) occur in Internetbased selling, and examine the relationship between such price points and Internet-based sellers’ decisions on price changes, and how they relate to price rigidity on the Internet. We also explore what drives the observed regularities and variations in firms’ choice of price-endings. In particular, we focus on “9” price-endings as a means to study the extent to which consumers exhibit rational inattention. To this end, we specify and test discrete choice models for priceendings using almost 5 million daily observations on multiple categories of products sold by hundreds of Internet-based retailers. We find evidence that price points can be a source of price rigidity across most product categories in our dataset. Also our results show that the total number of digits in the product’s price has an association with the chosen price-endings, which supports the theory of rational inattention. This study offers the first direct evidence, across a wide spectrum of product categories, that price points are a source of price rigidity on the Internet. The findings also suggest that even in the digital economy, consumers may be rationally inattentive to the last digit of price.
FAST RANGE IMAGE SEGMENTATION FOR A DOMESTIC SERVICE ROBOT

In this paper we present a fast approach to range image segmentation. The segmentation results are intended to serve as input to the perception system of a domestic service robot. In the first step “ghost points” at depth discontinuities are identified. This is followed by extracting step and roof edges. Planar patches are detected with a focus on horizontal and vertical planar structures. Finally, the range data is labelled with the locally dominant features, which results in a label map. Our approach was tested on real range images recorded in a home-like office environment using a tilting laser range finder.
Agricultural Crop Yield Prediction Using Artificial Neural Network Approach Miss .

: By considering various situations of climatologically phenomena affecting local weather conditions in various parts of the world. These weather conditions have a direct effect on crop yield. Various researches have been done exploring the connections between large-scale climatologically phenomena and crop yield. Artificial neural networks have been demonstrated to be powerful tools for modeling and prediction, to increase their effectiveness. Crop prediction methodology is used to predict the suitable crop by sensing various parameter of soil and also parameter related to atmosphere. Parameters like type of soil, PH, nitrogen, phosphate, potassium, organic carbon, calcium, magnesium, sulphur, manganese, copper, iron, depth, temperature, rainfall, humidity. For that purpose we are used artificial neural network (ANN).
Upper airway muscle activity and upper airway resistance in young adults during sleep.

To determine the relationship between upper airway muscle activity and upper airway resistance in nonsnoring and snoring young adults, 17 subjects were studied during sleep. Genioglossus and alae nasi electromyogram activity were recorded. Inspiratory and expiratory supraglottic resistance (Rinsp and Rexp, respectively) were measured at peak flow, and the coefficients of resistance (Kinsp and Kexp, respectively) were calculated. Data were recorded during control, with continuous positive airway pressure (CPAP), and on the breath immediately after termination of CPAP. Rinsp during control averaged 7 +/- 1 and 10 +/- 2 cmH2O.l-1.s and Kinsp averaged 26 +/- 5 and 80 +/- 27 cmH2O.l-1.s-2 in the nonsnorers and snorers, respectively (P = not significant). On the breath immediately after CPAP, Kinsp did not increase over control in snorers (80 +/- 27 for control vs. 46 +/- 6 cmH2O.l-1.s-2 for the breath after CPAP) or nonsnorers (26 +/- 5 vs. 29 +/- 6 cmH2O.l-1.s-2). These findings held true for Rinsp. Kexp did not increase in either group on the breath immediately after termination of CPAP. Therefore, 1) increases in upper airway resistance do not occur, despite reductions in electromyogram activity in young snorers and nonsnorers, and 2) increases in Rexp and expiratory flow limitation are not observed in young snorers.
Identification of potential surrogate end points in randomized clinical trials of aggressive and indolent non-Hodgkin's lymphoma: correlation of complete response, time-to-event and overall survival end points

Background: The correlation between efficacy end points in randomized controlled trials (RCTs) of systemic therapy for non-Hodgkin's lymphoma (NHL) was investigated to identify an appropriate surrogate end point for overall survival (OS). Methods: RCTs of previously untreated NHL published from 1990 to 2009 were identified. Associations between absolute differences in efficacy end points were determined using nonparametric Spearman's rank correlation coefficients (rs). Results: Thirty-eight RCTs representing 85 treatment arms for aggressive NHL and 20 RCTs representing 42 arms for indolent NHL were included. For aggressive NHL, differences in 3-year progression-free survival (PFS)/event-free survival (EFS) were high correlated with differences in 5-year OS {rs of 0.90 [95% confidence interval (CI) 0.73–0.96]} and linear regression determined that a 10% improvement in 3-year EFS or PFS would predict for a 7% ± 1% improvement in 5-year OS. For indolent histology disease, differences in complete response were strongly correlated with differences in 3-year EFS [rs 0.86 (95% CI 0.35–0.97)], but there was no correlation between 3-year time-to-event end points and 5-year OS. Conclusions: Improvements in 3-year EFS/PFS are highly correlated with improvements in 5-year OS in aggressive NHL and should be explored as a candidate surrogate end point. Definition of these relationships may inform future clinical trial design and interpretation of interim trial data.
Theoretical analysis of cancellation of DC-link current harmonics in the inverter-controlled DC electric railcar

This paper presents the theoretical studies on the DC-link current harmonics in the inverter-controlled DC electric railcar. First, we derive the mathematical expression of the harmonics. And comparison among a theoretical result, a numerical simulation result, and an experimental result is also presented for verification of the proposed theoretical analysis. Then this paper examines the harmonic cancellation effect of the phase shift operation by the derived mathematical expression.
Mandjak, T and Balaid, S and Naude, P (2017)The development of trust over time in the Tunisian Automotive Sector. In: 22nd CBIM

This paper examines how trust develops over time in business relationships between a number of Tunisian SMEs operating in the automotive sector. Trust has long been considered as a core element of relationship quality, which in turn has a moderating role in affecting the negotiation process between the actors. Our paper is based on a qualitative study of ten relationships in the Tunisian automotive industry. We take a monadic view, having interviewed local spare-parts resellers about their relationships with their wholesalers. Given the relatively simplistic structure of the automotive spare-parts industry, the mutual integration of needs between wholesalers and the resellers is relatively easily understood. The decision to undertake the research in Tunisia is twofold. On the one hand, there is a paucity of research based in the Maghreb countries, and hence a need to understand how business operates in this region. On the other hand, the Tunisian market structure is relatively simple, with most spare-parts being imported because of the low level of local production. Our results show that there is a mutual but not symmetric or balanced influence of trust on the behavior of the partners involved. The influence of the different parties is dependent on the power architecture, the history of the relationship and the network position of the actors. We find that different kinds of trust play different roles over the dynamics of the relationship. Perceived trust is more important at the emergent stage of a relationship, and experienced trust becomes more important in the established relationships. The perceive trust creates the possibility of building trust, and when mutual trust exists between the parties, it motivates them to maintain the relationship.
Automated calibration of multi-camera-projector structured light systems for volumetric high-speed 3 D surface reconstructions

It is challenging to calibrate multiple camera-projector pairs for multi-view 3D surface reconstruction based on structured light. Here, we present a new automated calibration method for high-speed multi-camera-projector systems. The method uses printed and projected dot patterns on a planar calibration target, which is moved by hand in the calibration volume. Calibration is enabled by automated image processing and bundle-adjusted parameter optimization. We determined the performance of our method by 3D reconstructing a sphere. The accuracy is -0.03 ± 0.09 % as a percentage of the diameter of the calibration volume. Applications include quality control, autonomous systems, engineering measurements, and motion capture, such as the preliminary 3D reconstruction of a bird in flight we present here. © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Protein crystallization prediction with a combined feature set

Using X-ray crystallography to determine the 3D structure of a protein is a costly and time-consuming process. One of the major reasons is that the protein needs to be purified and crystallized first, and the failure rate of protein crystallization is quite high. Thus it is desired to use a computational method to predict protein crystallizability based on the primary structure information before the whole process starts. This can dramatically lower the average cost for protein structure determination. In this paper, we investigated the feature sets used in previous research. The support vector machine (SVM) was chosen as the predictor. Different weightings are set for the penalty parameters of the two classes to deal with the imbalanced data problem. As a result, a combined set of features is able to produce better results, especially on the specificity.
On the Feasibility of Advanced Cache Indexing for High-Performance and Energy-Efficient GPGPU Computing

To achieve higher performance and energy efficiency, GPGPU architectures have recently begun to employ hardware caches. Adding hardware caches to GPGPUs, however, does not automatically guarantee improved performance and energy efficiency due to the thrashing in small hardware caches shared by thousands of threads. While prior work has proposed warp scheduling and cache bypassing techniques to address this issue, relatively little work has been done in the context of advanced cache indexing. To bridge this gap, this work investigates the feasibility of advanced cache indexing for high-performance and energy-efficient GPGPU computing. We first discuss the design and implementation of static and adaptive cache indexing schemes for GPGPUs. We then quantify the effectiveness of the advanced indexing schemes using GPGPU benchmarks. Our quantitative evaluation demonstrates that the advanced cache indexing schemes are promising in that they significantly outperform the conventional cache indexing scheme. In addition, for a subset of cache-sensitive benchmarks, the adaptive indexing scheme substantially outperforms the static indexing scheme by effectively identifying and utilizing high-quality indexing bits based on runtime information. Finally, our evaluation shows that the effectiveness of advanced cache indexing is sensitive to different warp schedulers, motivating further research on coordinated cache indexing and warp scheduling techniques.
Comparison of mitochondrial genomes from ten Arini representatives

The studied Arini genomes have comparable length (Table 1). The largest difference is 47 nucleotides. All ten mitogenomes contain the same genetic elements: 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes and the control region. These elements show the same order and orientation. The sense strands of genes for two rRNAs, ND6 protein and eight tRNAs are located on the heavy strand (richer in guanine), whereas the other 12 protein-coding genes and 14 tRNA genes are encoded on the light strand (poorer in guanine).
Impact Testing of High Level Waste Canisters

Introduction The vitrification technology using Joule Heated CermaicMelter(JHCM) has been mastered by India and a large quantity of HLW has been processed and converted into vitrified waste filled canisters. The glass filled canisters are sealed by remote welding using an Autogeneous Orbital Welding Machine inside a hot cell. After decontamination of outer surface, the vitrified waste filled canisters are to be stored in an interim storage facility named as Vitrified Waste Storage Facility (VWSF) in stacks of 4 canisters in one location. Description of HLW canister: A canister has dimensions of 355 mm outside diameter, 6.35 mm thickness and 1.95 m height. The material of construction selected is austenitic stainless steel SS 304L from corrosion point of view.Canister body is divided into three partsa) Shell, b) bottom dish & c) top portion. Shell is made of 350 NB Sch 10 seamless pipe and has length 1.7 m. Bottom dish has 50 mm corner radius and welded to shell by full penetration butt welding. Top portion is made of frustum of a cone with flange head for lid welding. This is joined to shell by full penetration butt welding. Canister lid has 203 mm diameter and 10 mm thickness. Canister is subjected to stringent quality assurance (QA) during manufacturing like 100% radiography of full penetration welds. Empty weight of canister is 120 kg and glass filled weight is 450 kg. Typical HLW canister is shown in Fig.1Storage scheme of canisters at VWSF is shown in fig. 2. P. P. Karkhanis and Kailash Agarwal Nuclear Recycle Board
SPEED: synthesis of high-performance large scale analog/mixed signal circuit

Simulation-based cell level analog synthesis tools have been successfully proven by chip fabrication. Application of these synthesis approaches to larger circuits with high accuracy has been difficult due to two limitations: 1) large design space, 2) long simulation time. This paper addresses these limitations using a systematic methodology SPEED, simulation plus equation-based synthesis, to size the first two multiplying and sub-DAC stages in a 13-bit 40-MSample/s pipelined analog to digital converter for minimum power consumption. The resulting chip, which had a measured signal to noise ratio of 73.8dB and consumed 364mW @ 3.3V proves the efficacy of the proposed synthesis approach.
Content-peering dynamics of autonomous caches in a content-centric network

A future content-centric Internet would likely consist of autonomous systems (ASes) just like today's Internet. It would thus be a network of interacting cache networks, each of them optimized for local performance. To understand the influence of interactions between autonomous cache networks, in this paper we consider ASes that maintain peering agreements with each other for mutual benefit, and engage in content-level peering to leverage each others' cache contents. We propose a model of the interaction and the coordination between the caches managed by peering ASes. We address whether stable and efficient content-level peering can be implemented without explicit coordination between the neighboring ASes or alternatively, whether the interaction needs to rely on explicit announcements of content reachability in order for the system to be stable. We show that content-level peering leads to stable cache configurations, both with and without coordination. If the ASes do coordinate, then coordination that avoids simultaneous updates by peering ISPs provides faster and more cost efficient convergence to a stable configuration. Furthermore, if the content popularity estimates are inaccurate, content-level peering is likely to lead to cost efficient cache allocations. We validate our analytical results using simulations on the measured peering topology of more than 600 ASes.
SVR Versus Neural-Fuzzy Network Controllers for the Sagittal Balance of a Biped Robot

The real-time balance control of an eight-link biped robot using a zero moment point (ZMP) dynamic model is difficult due to the processing time of the corresponding equations. To overcome this limitation, two alternative intelligent computing control techniques were compared: one based on support vector regression (SVR) and another based on a first-order Takagi-Sugeno-Kang (TSK)-type neural-fuzzy (NF) network. Both methods use the ZMP error and its variation as inputs and the output is the correction of the robot's torso necessary for its sagittal balance. The SVR and the NF were trained based on simulation data and their performance was verified with a real biped robot. Two performance indexes are proposed to evaluate and compare the online performance of the two control methods. The ZMP is calculated by reading four force sensors placed under each robot's foot. The gait implemented in this biped is similar to a human gait that was acquired and adapted to the robot's size. Some experiments are presented and the results show that the implemented gait combined either with the SVR controller or with the TSK NF network controller can be used to control this biped robot. The SVR and the NF controllers exhibit similar stability, but the SVR controller runs about 50 times faster.
System Design and Dynamic Walking of Humanoid Robot KHR-2

In this paper, we describe the mechanical design, system integration and dynamic walking of the humanoid, KHR-2 (KAIST Humanoid Robot– 2). KHR-2 has 41 DOFs in total, that allows it to imitate various human-like motions. To control all joint axes effectively, the distributed control architecture is used, which reduces computation burden on the main controller, and allows convenient system. A servo motor controller was used as the sub-controller, whereas a 3-axis force/torque sensor and an inertia sensor were used in the sensory system. The main controller attached on the back of KHR-2 communicates with the sub-controllers in real-time through CAN (Controller Area Network) protocol. Windows XP was used as the operation system, whereas RTX HAL extension commercial software was used to realize the real-time control capability in Windows environment. We define the walking pattern and describe several online controllers in each stage. Some of the experimental results of KHR-2 are also presented.
Performance Comparison between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-Wheels Balancing Robot

The research on two-wheels balancing robot has gained momentum due to their functionality and reliability when completing certain tasks. This paper presents investigations into the performance comparison of Fuzzy Logic Controller (FLC) and PID controller for a highly nonlinear 2 -- wheels balancing robot. The mathematical model of 2-wheels balancing robot that is highly nonlinear is derived. The final model suffers from mismatched condition. Two system responses namely the robot position and robot angular position are obtained. The performances of the FLC and PID controllers are examined in terms of input tracking capability. Simulation results of the responses of the nonlinear 2 -- wheels balancing robot are presented in time domain. A comparative assessment of both control schemes to the system performance is presented and discussed.
Assessment of genetic structure among eastern North Pacific gray whales on their feeding grounds

Although most eastern North Pacific (ENP) gray whales feed in the Bering, Beaufort, and Chukchi Seas during summer and fall, a small number of individuals, referred to as the Pacific Coast Feeding Group (PCFG), show intra- and interseasonal fidelity to feeding areas from northern California through southeastern Alaska. We used both mitochondrial DNA (mtDNA) and 12 microsatellite markers to assess whether stock structure exists among feeding grounds used by ENP gray whales. Significant mtDNA differentiation was found when samples representing the PCFG (n = 71) were compared with samples (n = 103) collected from animals feeding further north (FST = 0.012 ,P = 0.0045). No significant nuclear differences were
Chapter 23 - Ionizing Radiation

After completing this chapter, the user should be able to: 1. Define underlined terms used in this chapter. 2. Describe the physics of radiation interaction with matter. 3. List categories of ionizing radiation. 4. Explain dosimetry and attenuation. 5. List radiation detection devices. 6. Recall the operating principles for radiation detection devices. 7. Summarize the sources of exposure to ionizing radiation. 8. Describe radiation production equipment. 9. Describe the biological consequences of exposure to ionizing radiation. 10. Recall agencies that regulate ionizing radiation.