Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporomandibular Joint Anatomy Assessed by CBCT Images

Aim. Since cone beam computed tomography (CBCT) has been used for the study of craniofacial morphology, the attention of orthodontists has also focused on the mandibular condyle. The purpose of this brief review is to summarize the recent 3D CBCT images of mandibular condyle. Material and Methods. The eligibility criteria for the studies are (a) studies aimed at evaluating the anatomy of the temporomandibular joint; (b) studies performed with CBCT images; (c) studies on human subjects; (d) studies that were not clinical case-reports and clinical series; (e) studies reporting data on children, adolescents, or young adults (data from individuals with age ≤ 30 years). Sources included PubMed from June 2008 to June 2016. Results. 43 full-text articles were initially screened for eligibility. 13 full-text articles were assessed for eligibility. 11 articles were finally included in qualitative synthesis. The main topics treated in the studies are the volume and surface of the mandibular condyle, the bone changes on cortical surface, the facial asymmetry, and the optimum position of the condyle in the glenoid fossa. Conclusion. Additional studies will be necessary in the future, constructed with longitudinal methodology, especially in growing subjects. The limits of CBCT acquisitions are also highlighted.
International Conference on Intelligent Robots and Systems Robot Behavior Adaptation for Human-Robot Interaction based on Policy Gradient Reinforcement Learning *

In this paper we propose an adaptation mechanism for robot behaviors to make robot-human interactions run more smoothly. We propose such a mechanism based on reinforcement learning, which reads minute body signals from a human partner, and uses this information to adjust interaction distances, gaze meeting, and motion speed and timing in human-robot interaction. We show that this enables autonomous adaptation to individual preferences by an experiment with twelve subjects.
Cross-National Channel Relationship Performance : The Role of Cultural Sensitivity , Conflict and Communication

The need to be sensitive to foreign cultures is often stated axiomatically in the international marketing literature despite very little conceptual or empirical research on its nature and consequences. To fill this void partially, this study addresses empirically the question of the effects of cultural sensitivity on communication, conflict and performance in cross-national channel relationships. Data collected from 224 U.S. manufacturers and 100 Mexican distributors on their relationship with a primary international trading partner reveal that the sensitivity axiom can be supported empirically. Furthermore, the effects of cultural sensitivity generalize across this national boundary. The findings provide insight into both the measurement of cultural sensitivity and its place in a nomological network of relationship constructs. Introduction Due to the increasingly widespread internationalization of the marketplace, the issue of culture has received considerable attention in the international marketing literature. Researchers emphasize the powerful impact that culture may have on the existence and functioning of exchange relationships (e.g., Frazier, Gill and Kale 1989) distribution channel relationships (e.g., Kale and McIntyre 1991) cross-national buyer-seller interactions (e.g, Kale and Barnes 1992) perceptions of industrial goods exporters @raft and Chung 1992) and the quality of crossnational communication and interaction in general (e.g., Aviel 1990; Snyder 1991). The need to be “attuned to the nuances of culture” (Cateora 1990) and to include culture in the analysis of buyer behavior (Sheth and Sethi 1977; Toyne and Walters 1989) is widely expressed in this literature. Yet, very little systematic empirical research has been conducted on the dimensions and implications of cultural sensitivity. Thus, it is important that researchers “move beyond anecdotes” toward an improved conceptual understanding of cultural sensitivity and its consequences (Kale and Barnes 1992). Recent studies on channel relationships by Anderson and Weitz (1989, 1992) Anderson and Narus (1984, 1990) and Kumar, Stem and Achrol (1992) have identified communication, conflict, commitment, satisfaction and performance to be important dimensions of channel relationships. Unfortunately, most empirical research in the channels literature is limited to studies of relationships within a single culture despite a rapid increase and interest in global trade (Douglas and Craig 1992). Even Johnson, Sakano and Onzo’s (1990) pioneering study of influence, control and conflict in U.S. Japanese marketing channels excludes the role of cultural differences andthe U.S. manufacturers’ perspective. Consequently, the effects of cultural sensitivity have not been well-established and the generalizability of theoretical models to international channel relationships may be questioned (Cunningham and Green 1984; Frazier, Gill
Transfusion-Transmissible Infections among Voluntary Blood Donors at Wolaita Sodo University Teaching Referral Hospital, South Ethiopia

Background. Transfusion-transmissible infections, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and syphilis are among the greatest threats to blood safety and pose a serious public health problem. Objective. To determine the magnitude of blood borne infections among blood donors at Wolaita Sodo University Teaching Referral Hospital. Methods and Materials. A cross-sectional study was conducted from 10/11/2015 up to 10/12/2015. 390 donors were consecutively included and data on donor's age, sex, blood type, and serum screening results were obtained by structured questionnaire and laboratory investigation. The collected data were entered into Epi Data version 1.4 and then exported to SPSS version 20.0 for analysis. Result. The seroprevalence of blood borne pathogens is 29.5% of which HCV, HBV, HIV, and syphilis account for 8.5%, 9.5%, 6.4%, and 7.5%, respectively. Multiple infections were observed among 2.8% of the infected individuals. In addition, age ≥ 30 has a significant association with HCV. Conclusion. Significantly higher prevalence of transfusion-transmissible infections was identified from blood donors and they remain to be the greatest threat to blood safety, so comprehensive screening of donors' blood for HIV, HBV, HCV, and syphilis using standard methods is highly recommended to ensure the safety of blood recipient.
Rotational modulation of the photospheric and chromospheric activity in the young, single K2-dwarf PW And ?;??

The young active star PW And (HID 1405), has been studied using echelle spectra from eight observing runs carried out during the period 1999 – 2001. The cross correlation function (CCF) technique has been used in order to obtain an accurate radial velocity finding differences of nearly 1 km s−1. Chromospheric activity has been analized, using the spectral subtraction technique and simultaneous spectroscopic observations of the optical indicators of chromospheric activity. Variations in the activity seem to be related to the photospheric ones, showing a good correlation between radial velocity, changes in the ’bisector’ fitted to the peak of the CCF and equivalent width of different lines with a different behaviour between epochs 1999 and 2001.
Genetic and neurocognitive contributions to the development of psychopathy

Abstract An overview is provided of recent twin, molecular genetic, and magnetic resonance imaging studies that are helping to inform a model of developmental vulnerability to adult psychopathy. Although the current evidence base suggests that children with high levels of callous–unemotional traits are genetically and neurocognitively vulnerable to developing psychopathic and antisocial behaviors, existing research also clearly indicates that environmental influences play an important role. One potential implication is that interventions for children with antisocial behavior and callous–unemotional traits may need to be tailored to take into account their distinct pattern of neurocognitive vulnerability, as revealed by developmental neuroimaging studies. Specifically, interventions that pursue punishment-oriented or explicit empathy induction strategies may be less effective with this group of antisocial children. By contrast, preliminary evidence suggests that enhancing positive parenting and parental involvement, as well as applying consistent rewards may represent more promising intervention approaches.
Smart poster implementation on Mobile Bulletin system using NFC tags and Salt Tokenization case study: Universitas Multimedia Nusantara

Bulletin board is a medium for sharing information in Universitas Multimedia Nusantara (UMN). However, the feasibility study showed that bulletin board was not effective to be used as a medium for disseminating information in UMN campus. Apart from the user side, the development of UMN campus building also become an obstacle for using traditional bulletin board. Near Field Communication (NFC) technology is a type of short-range wireless technology, which widely used in developed countries in everyday life, such as ticketing payment, public transport, credit card, e-ticket, advertisement, and Wireless Local Area Network (W-LAN) configuration. One concrete manifestation of NFC technology implementation is Smart Poster. In addition to NFC technology embodied in Smart Poster, an object is needed to represent a range of bulletin information with small size so that it can be implemented into NFC Tag. Based on previous research, that object can be made by Salt Tokenization method. This study aims to design and develop Mobile Bulletin system to implement Smart Poster concept using NFC technology and Salt Tokenization method. The system's usability testing result in this study showed that Mobile Bulletin system makes the acquisition and dissemination of bulletin board information easier, also easier for Student Council to manage bulletin board.
Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets with Large Variations

Gradient histogram based descriptors, that are constructed using the gradient magnitudes as votes to orientation bins, are successfully used for Pedestrian Detection. However, their performance is hampered when presented with datasets having many variations in properties such as appearance, texture, scale, background, and object pose. Such variations can be reduced by smoothing the images. But, the performance of the descriptors, and their classifiers is affected negatively by this, due to the loss of important gradients along with the noisy ones. In this work, we show that the ranks of gradient magnitudes stay resilient to such a smoothing. We show that a combination of image smoothing and the ranks of gradient magnitudes yields good detection performances, especially when the variations in a dataset are large or the number of training samples is less. Experiments on the challenging Caltech and Daimler Pedestrian datasets, and the Inria Person dataset illustrate these findings.
Using White Dish CMB Anisotropy Data to Probe Open and Flat-Λ CDM Cosmogonies

We use data from the White Dish experiment to set limits on cosmic microwave background radiation anisotropies in open and spatially flat-Λ cold dark matter cosmogonies. We account for the White Dish calibration uncertainty and marginalize over the offset and gradient removed from the data. Our 2 σ upper limits on the amplitude of the cosmic microwave background radiation anisotropy are larger than those derived previously. These upper limits are consistent with those derived from the COBE Differential Microwave Radiometer data for all models tested.
A new method for estimating dark matter halo masses using globular cluster systems

All galaxies are thought to reside within large haloes of dark matter, whose properties can only be determined from indirect observations. The formation and assembly of galaxies is determined from the interplay between these dark matter haloes and the baryonic matter they host. Although statistical relations can be used to approximate how massive a galaxy's halo is, very few individual galaxies have direct measurements of their halo masses. We present a method to directly estimate the total mass of a galaxy's dark halo using its system of globular clusters. The link between globular cluster systems and halo masses is independent of a galaxy's type and environment, in contrast to the relationship between galaxy halo and stellar masses. This trend is expected in models where globular clusters form in early, rare density peaks in the cold dark matter density field and the epoch of reionization was roughly coeval throughout the Universe. We illustrate the general utility of this relation by demonstrating that a galaxy's supermassive black hole mass and global X-ray luminosity are directly proportional to their host dark halo masses, as inferred from our new method.
An Incremental Methodology for Energy Measurement and Modeling

This paper presents an empirical approach to measuring and modeling the energy consumption of multicore processors.The modeling approach allows us to find a breakdown of the energy consumption among a set of key hardware components, also called HW nodes. We explicitly model the front-end and the back-end in terms of the number of instructions executed. We also model the L1, L2 and L3 caches. Furthermore, we explicitly model the static and dynamic energy consumed by the the uncore and core components. From a software perspective, our methodology allows us to correlate energy to the executed code, which helps find opportunities for code optimization and tuning. We use binary analysis and hardware counters for performance characterization. Although, we use the on-chip counters (RAPL) for energy measurement, our methodology does not rely on a specific method for energy measurement. Thus, it is portable and easy to deploy in various computing environments. We validate our energy model using two Intel processors with a set of HPC codelets, where data sizes are varied to come from the L1, L2 and L3 caches and show 3% average modeling error. We present a comprehensive analysis and show energy consumption differences between kernels and relate those differences to the algorithms that are implemented. Finally, we discuss how vectorization leads to energy savings compared to non-vectorized codes.
The two-parameter generalization of Ewens' random partition structure

where k = m1 + . + mn is the total number of parts, θ > 0 is a parameter of the distribution, and θ = θ(θ + 1) . (θ + n − 1). For background and applications to genetics see [11, 12, 13, 6, 5, 19]. This note presents a family of distributions Pn,θ,α for random partitions of n, with two parameters θ ≥ 0 and 0 ≤ α ≤ 1. For α = 0, θ > 0, Pn,θ,0 = Pn,θ as in (1). As indicated at the end of this introduction, the case 0 < α < 1 arises naturally in the study of certain random partitions associated with stable processes with index α. In particular the case α = 1/2 is related to random partitions induced by the zeros of Brownian motion. ∗Research supported by N.S. F. Grant MCS91-07531
The Impact of After-School Programs that Promote Personal and Social Skills.

A meta-analysis of after-school programs (ASPs) that seek to enhance the personal and social development of children and adolescents indicated that youth improved in three general areas: feelings and attitudes, indicators of behavioral adjustment, and school performance. More specifically, significant increases occurred in youths’ self-perceptions and bonding to school, their positive social behaviors, and in their school grades and level of academic achievement. At the same time, significant reductions occurred in problem behaviors and drug use. Substantial differences emerged between programs that used evidence-based approaches for skill training and those that did not. The former programs consistently produced significant improvements among participants in all of the above outcome areas (mean effect sizes ranged from 0.24 to 0.35), whereas the latter programs did not produce significant results in any outcome category. Our findings have two important implications for future research, practice and policy. The first is that ASPs should contain components to foster the personal and social skills of youth, because participants can benefit in multiple ways if these components are offered. The second is that such components are effective only if they use evidence-based approaches. When it comes to enhancing personal and social skills, successful programs are SAFE— sequenced, active, focused and explicit. The Impact of After-School Programs That Promote Personal and Social Skills 9 When it comes to enhancing personal and social skills, successful programs are SAFE— sequenced, active, focused and explicit.
Improved Dynamic Partial-Order Reduction for Asynchronous Message-Passing Programs

This paper presents two algorithmic refinements that improve systematic testing of asynchronous message-passing programs for a fixed input. Such programs can have a large number of possible execution paths due to the nondeterministic interleaving of messages. However, many paths are equivalent, and dynamic partial-order reduction (DPOR) techniques attempt to explore all distinct, feasible behaviors while minimizing the number of redundant paths that are explored. Our two refinements never explore more redundant paths than the existing DPOR techniques for asynchronous message-passing programs. We implemented the refinements in the Basset tool, and experimental results show that they can reduce the number of redundant paths explored over existing DPOR techniques by up to two orders of magnitude.
Foreign Acquisition and Employment Effects in Swedish Manufacturing

This paper investigates the employment effects of foreign acquisitions in acquired firms in Swedish manufacturing during the 1990s, a period characterized by a dramatic increase in foreign ownership. To handle likely endogeneity problems, we evaluate the effects of foreign acquisitions on the targeted firms’ employment by combining propensity score matching with difference-in-difference estimation. We find some evidence of positive employment effects in firms taken over by foreigners and it seems that the employment of skilled labor increases more than the employment of less-skilled labor. Moreover, we examine whether the employment impact of foreign ownership differs between takeovers of Swedish MNEs and non-MNEs. Our results indicate that the positive employment effects only appear in acquired non-MNEs. Furthermore, we observe shifts in skill intensities toward higher shares of skilled labor in non-MNEs taken over by foreign MNEs but not in acquired Swedish MNEs
Importance of ground weta (Hemiandrus spp.) in stoat (Mustela erminea) diet in small montane valleys and alpine grasslands

Most research into the diet of stoats in New Zealand has been in low altitude valleys such as the Eglinton and Hollyford Valleys. Yet much of New Zealand's national parks (e.g. Fiordland National Park) consist of many small montane valleys and alpine areas. This research identified the key prey species of stoats inhabiting such small montane valleys and alpine grasslands. Stoats were collected from Department of Conservation kill-trap lines in the Murchison Mountains in Fiordland National Park over two summers (1999/ 2000 and 2000/2001) that followed heavy and moderate beech and snow tussock seed-fall events respectively. During the first summer mice were the most common prey item in stoat stomachs (68%), however in the second summer ground weta occurred most commonly (59%). These results support previous stoat research and suggest that ground weta may be an important prey species for stoats in the Murchison Mountains.
Students' Understanding of Advanced Properties of Java Exceptions

This study examines how Information Systems Engineering School students on the verge of their graduation understand the mechanism of exception handling. The main contributions of this paper are as follows: we construct a questionnaire aimed at examining students' level of understanding concerning exceptions; we classify and analyse the students' responses to the questionnaire in order to determine their level of understanding of the mechanism; and we discuss the students' reflections concerning exceptions. The students were required to demonstrate their understanding of various aspects of Java exception handling: exception throwing and catching, fluency of code in the presence of exceptions, multiple catch clauses, common and different reactions to the various exceptions, passing an exception up the calling chain, proper use of the exception hierarchy, re-throwing an exception, and overriding a method which throws exceptions. The results obtained reveal that almost all the participants understood the basics of throwing and catching an exception, but only a few demonstrated the highest level of understanding of the exception mechanism. As the level of understanding required to address the questionnaire problems increased, the number of study participants who were able to answer correctly decreased substantially. In fact, most of the study participants were not familiar with all the possibilities encompassed by the exception mechanism and so were not able to use them properly. The students’ reflections were classified into the following categories: perceptions concerning the benefits of using exceptions; perceptions concerning the complexity of the exception mechanism; and issues concerning the development environment. According to the results obtained we recommend several modifications to the curriculum with the aim of improving the students' ability to properly utilize the advanced properties of exceptions to produce higher quality software.
Antecedents and Performance Consequences of Helping Behavior in Work Groups

Our study examines two models of helping behavior in work groups. Our first model is a cross-level model and predicts that group-level cohesion, cooperative norms, and task conflict are related to individual helping behavior (peer-rated). Results support our hypotheses and further demonstrate that of the three group characteristics, cooperative norms have the strongest relationship with individual helping behavior. Our second model is a group-level model and examines the relationships among configural conceptualizations of group-level helping and group performance in conjunctive tasks. Results demonstrate that the least and the most helpful members in the group influence group performance in interesting ways. We conclude by discussing implications of our findings for practice and future research.
Where to wait for a taxi?

People often have the demand to decide where to wait for a taxi in order to save their time. In this paper, to address this problem, we employ the non-homogeneous Poisson process (NHPP) to model the behavior of vacant taxis. According to the statistics of the parking time of vacant taxis on the roads and the number of the vacant taxis leaving the roads in history, we can estimate the waiting time at different times on road segments. We also propose an approach to make recommendations for potential passengers on where to wait for a taxi based on our estimated waiting time. Then we evaluate our approach through the experiments on simulated passengers and actual trajectories of 12,000 taxis in Beijing. The results show that our estimation is relatively accurate and could be regarded as a reliable upper bound of the waiting time in probability. And our recommendation is a tradeoff between the waiting time and walking distance, which would bring practical assistance to potential passengers. In addition, we develop a mobile application TaxiWaiter on Android OS to help the users wait for taxis based on our approach and historical data.