Miracle-dz/UniFAR-FTUs huggingface dataset:
Desktop Orbital Camera Motions Using Rotational Head Movements

In this paper, we investigate how head movements can serve to change the viewpoint in 3D applications, especially when the viewpoint needs to be changed quickly and temporarily to disambiguate the view. We study how to use yaw and roll head movements to perform orbital camera control, i.e., to rotate the camera around a specific point in the scene. We report on four user studies. Study 1 evaluates the useful resolution of head movements. Study 2 informs about visual and physical comfort. Study 3 compares two interaction techniques, designed by taking into account the results of the two previous studies. Results show that head roll is more efficient than head yaw for orbital camera control when interacting with a screen. Finally, Study 4 compares head roll with a standard technique relying on the mouse and the keyboard. Moreover, users were allowed to use both techniques at their convenience in a second stage. Results show that users prefer and are faster (14.5%) with the head control technique.
A perturbation based fault modeling and simulation for mixed-signal circuits

The areas of analog circuit fault simulation and test generation have not witnessed the same degree of success as their digital counterparts. This is due mainly to the complexity of analog behavior and the lack of a fault mode. We present a new functional fault modeling technique called the perturbation fault model. The perturbation fault model is based on an estimation of the distance between the responses of the faulty and fault-free circuit and their distributions. The model allows fault abstraction of physical defects through structural fault modeling and perturbation estimation. The fault simulation technique uses a linear estimation of the faulty and fault-free output circuits. Techniques for fault observation and propagation are presented in order to build a hierarchical analog fault simulator.
Area-weighted surface normals for 3D object recognition

This paper presents a method for feature-based 3D object recognition in cluttered scenes. It deals with the problem of non-uniform sampling density which is inherent in typical range sensing methods. We suggest a method operating on polygonal meshes which overcomes the problem by exploiting surface area in both establishing local frames and creating feature descriptors. The method is able to recognize even highly occluded objects and outperforms state of the art in terms of recognition rate on a standard publicly available dataset.
Implicit and Explicit Learning to Read : Implication as for Subtypes of Dyslexia

Le principe alphabetique repose sur la correspondance grapheme-phoneme. Toutefois, de nouvelles recherches montrent egalement l’importance des correspondances entre configurations orthographiques et morphemes. Ces deux types de correspondances doivent etre pris en compte dans la modelisation de l’apprentissage de la lecture. De plus, quel que soit le code concerne, deux types de processus sont impliques dans l’apprentissage de la lecture. La plupart des recherches ont cible les effets directs de l’enseignement, il convient de prendre egalement en consideration l’apprentissage implicite qui rend compte des modifications du systeme cognitif sous l’influence de la repetition de la rencontre des patrons orthographiques frequents et des cooccurrences entre orthographe et proprietes orales associees. Ce cadre theorique engendre une conception de l’apprentissage de la lecture prenant en compte la double nature du code ecrit et qui inclut les dimensions explicites et implicites de l’apprentissage. En conclusion, l’effet d’un deficit phonologique initial sur un tel double processus d’apprentissage est envisage. Il est suggere qu’en fonction de differents facteurs ce meme deficit initial peut etre a l’origine d’un profil de dyslexie phonologique ou de dyslexie de surface.
D Traffic Scene Understanding from Movable Platforms

In this paper, we present a novel probabilistic generative model for multi-object traffic scene understanding from movable platforms which reasons jointly about the 3D scene layout as well as the location and orientation of objects in the scene. In particular, the scene topology, geometry and traffic activities are inferred from short video sequences. Inspired by the impressive driving capabilities of humans, our model does not rely on GPS, lidar or map knowledge. Instead, it takes advantage of a diverse set of visual cues in the form of vehicle tracklets, vanishing points, semantic scene labels, scene flow and occupancy grids. For each of these cues we propose likelihood functions that are integrated into a probabilistic generative model. We learn all model parameters from training data using contrastive divergence. Experiments conducted on videos of 113 representative intersections show that our approach successfully infers the correct layout in a variety of very challenging scenarios. To evaluate the importance of each feature cue, experiments using different feature combinations are conducted. Furthermore, we show how by employing context derived from the proposed method we are able to improve over the state-of-the-art in terms of object detection and object orientation estimation in challenging and cluttered
Reuse of clips in cartoon animation based on language instructions

This paper describes a new framework for reusing hand-drawn cartoon clips based on language understanding approach. Our framework involves two stages: a preprocessing phase, in which a hand-drawn clip library with mixed architecture is constructed, and the on-line phase, in which the domain dependent language instructions parsing is carried out and clips in the clip library are matched by use of some matching values calculated from the information derived from instruction parsing. An important feature of our approach is its ability to preserve the artistic quality of clips in the produced cartoon animations.
Talking with ERICA, an autonomous android

We demonstrate dialogues with an autonomous android ERICA, who has an appearance like a human being. Currently, ERICA plays two social roles: a laboratory guide and a counselor. It is designed to follow the protocols of human dialogue to make the user comfortable: (1) having a chat before the main talk, (2) proactively asking questions, and (3) conveying proper feedbacks. The combination of the human-like appearance and the appropriate behaviors according to her social roles allows for symbiotic human-robot interaction.
Suicidality in middle aged and older patients with schizophrenia and depressive symptoms: relationship to functioning and Quality of Life

Suicidality is a health concern in patients with schizophrenia. We examined the hypotheses: (1) Middle aged and older patients with schizophrenia, depressive symptoms and suicidality would exhibit worse quality of life and worse everyday functioning, social skills and medication management relative to those without suicidality; (2) higher levels of suicidality would be significantly associated with worse functioning, worse quality of life and older age.
Feasibility of Development of an Immunization Management Tool for Mobile Phones by UCD Approach

Mobile phones are the most used accessories of people throughout the world and its uses are increasing day by day in India [20]. Due to advancement in the field of ‘Human Computer Interaction (HCI)’ in the last few decades, attention has been drawn to usability studies of mobile devices or mobile phone applications including user need identification, user need analysis, usability testing etc. In the area of health, Immunization as such has prime importance in human life especially to protect newborns and teenagers from life threatening diseases. In India, present immunization program involves pen-paper based routine immunization (RI) card which has several drawbacks in its use; such as, spoiling of RI card, RI card being lost etc. Due to these reasons vaccines have not been disseminated properly among children. However, technologycan assist in such man-made insensibilities, mistakes and inabilities. So, in this context, before any direct technological intervention in this domain of application, it is necessary to evaluate the feasibility of technological intervention to solve this problem by identifying user need. In this paper, an attempt has been made to evaluate user need identification for design and development of an electronic immunization management tool (IMT) for mobile phones under taking user centered design approach. The current paper describes user’s responses and needs towards design and development of this tool that aims at inspiring people to give vaccines to their child properlyandboosting the existing immunization management system in near future.
Detection of leukocyte activation in pigs with neurologic decompression sickness.

BACKGROUND In a porcine model of neurological decompression sickness (DCS), perivascular leukocyte activation was a consistent finding in biopsies of associated cutaneous DCS. This prompted examination of other organs for similar changes; multifocal leukocyte activation was found in the lungs (pneumonitis) and liver (hepatitis). HYPOTHESIS DCS in pigs induces leukocyte aggregation and activation in the liver and lungs. METHODS Male Yorkshire swine, trained to run on a modified treadmill, were compressed to 200 ft of seawater (fsw) in a dry, air-filled compression chamber. Decompression varied according to the profile under study. RESULTS In 106 pigs, evidence for association of leukocyte aggregation and activation with the clinical diagnosis of neurologic DCS was sought. The incidence of pneumonitis (20/68, 29% with DCS; 4/38, 10% without DCS) and hepatitis (23/68, 33% with DCS; 4/38, 10% without DCS) were strongly correlated with the incidence of neurologic DCS via Pearson Chi-squared analysis (p = 0.026 pneumonitis and p = 0.008 hepatitis). Additionally, Kruskal-Wallis rank analysis for numbers of organs involved and incidence of neurologic DCS showed a strong correlation between the increasing occurrence of neurologic DCS and the involvement of both the liver and lungs (p = 0.004). CONCLUSIONS The results imply that, at least in pigs, DCS induces leukocyte aggregation and activation in the liver and lungs. These organs are not normally considered targets of DCS. Leukocyte aggregation in these organs may be related to their roles as highly perfused organs. Leukocyte aggregation may be a marker for DCS, providing further evidence for wider, systemic effects of DCS.
Dynamic scheduling of Web server cluster

Web servers have recently been composed of a server cluster for keeping good quality of service. LVS (Linux Virtual Server) is one method for building a server cluster in Linux and has its own load balancing mechanism. The existing load balancing mechanism, however, often reaches a limit and fails to keep the load in balance, particularly in electronic commerce sites that use typically dynamic script files more than static HTML pages. In this paper, we suggest a new mechanism that overcomes the limit and discuss how to define the load of each real server node in the server cluster and determine the limit of the load. In the suggested mechanism, the weight table of a load balancer is updated according to variation of the load and distribution of service requests is controlled according to the table. The new mechanism shows better results to distribute the load evenly among the real servers than the existing mechanism, when many scripts are included.
Web page ranking using domain based knowledge

In this paper, a new ranking technique is introduced to rank Web pages categorically. Web pages are categorized as `Primary' and `Secondary'. It is considered that available Web page URLs are resided in a predefined database. `Primary' Web pages are selected based on the keywords. These Web pages are ranked by a newly introduced equation. It is evident that all matched Web pages are not selected by this keyword selection procedure. Hence, unmatched Web pages are checked and named as `Secondary' Web pages. These Web pages are ranked by another new equation. Ranking procedure of `Primary' and `Secondary' Web pages is different based on the different selection process. Final outcome is obtained by merging and ranking all matched Web pages. Wide number of Web pages having matched contents is obtained by implementing this proposed procedure.
Bridging RTL and gate: correlating different levels of abstraction for design debugging

In order to help designers debug and verify a Gate-Level design that is generated from a Register-Transfer-Level (RTL) reference model, it is important to bridge the knowledge gap between the two levels of abstraction. In this paper, we present a comprehensive approach to establish correspondence of design objects between a Gate-Level implementation and its golden reference model specified at RTL. We consider both common logic synthesis transformations and advanced logic optimizations that are applied in the generation of the Gate-Level implementation, while not being restricted to any specific synthesis tool. Our approach integrates a set of techniques to compare the similarities in names, structures, and functions between the Gate-Level implementation and the RTL counterpart We use large industrial designs to demonstrate the effectiveness of our approach and show how our design correlation tool can help designers solve their problems such as Engineering Change Order, Timing Closure, and Emulation Visualization.
Compare OSPF Routing Protocol with other Interior Gateway Routing Protocols

Routing Protocols are used to facilitate the exchange of routing information between routers. Routing Protocols determine the best path to each network, which is then added to routing table. Dynamic Routing protocols are typically used in larger networks to ease the administrative overhead. OSPF is a route distribution protocol. In this paper OSPF protocol is discussed and compared with other interior gateway routing protocols.
Endothelial Actin-Binding Proteins and Actin Dynamics in Leukocyte Transendothelial Migration

The endothelium is the first barrier that leukocytes have to overcome during recruitment to sites of inflamed tissues. The leukocyte extravasation cascade is a complex multistep process that requires the activation of various adhesion molecules and signaling pathways, as well as actin remodeling, in both leukocytes and endothelial cells. Endothelial adhesion molecules, such as E-selectin or ICAM-1, are connected to the actin cytoskeleton via actin-binding proteins (ABPs). Although the contribution of receptor–ligand interactions to leukocyte extravasation has been studied extensively, the contribution of endothelial ABPs to the regulation of leukocyte adhesion and transendothelial migration remains poorly understood. This review focuses on recently published evidence that endothelial ABPs, such as cortactin, myosin, or α-actinin, regulate leukocyte extravasation by controlling actin dynamics, biomechanical properties of endothelia, and signaling pathways, such as GTPase activation, during inflammation. Thus, ABPs may serve as targets for novel treatment strategies for disorders characterized by excessive leukocyte recruitment.
Exploitative and Familiarity-Dependent Support Strategies in a Colony of Semi-Free Living Chimpanzees

[Initially the adult females supported Yeroen against his challenger, Luit. Yerocn often sat together with these supporters. Luit and the third adult male, Nikkie, together broke through these strong supporting relations of Yeroen : Luit did so mainly by isolating Yeroen from the females (through 'separating interventions') and Nikkie by keeping the females away from Yeroen-Luit conflicts. After both contesting males had achieved dominance over Yeroen, most females started to support the new α-male against the old one. During this period Yeroen seemed to become desired by Luit as a potential alliance partner. However, also Nikkie seemed to see advantages in an alliance with Yeroen. Although there are indications that Luit is going to win the competition with Nikkie over contacts with Yeroen, the ultimate choice with respect to the supporting relation will be to Yeroen himself. , Initially the adult females supported Yeroen against his challenger, Luit. Yerocn often sat together with these supporters. Luit and the third adult male, Nikkie, together broke through these strong supporting relations of Yeroen : Luit did so mainly by isolating Yeroen from the females (through 'separating interventions') and Nikkie by keeping the females away from Yeroen-Luit conflicts. After both contesting males had achieved dominance over Yeroen, most females started to support the new α-male against the old one. During this period Yeroen seemed to become desired by Luit as a potential alliance partner. However, also Nikkie seemed to see advantages in an alliance with Yeroen. Although there are indications that Luit is going to win the competition with Nikkie over contacts with Yeroen, the ultimate choice with respect to the supporting relation will be to Yeroen himself. ]
Stability of proton and maximally symmetric minimal unification model for basic forces and building blocks of matter

With the hypothesis that all independent degrees of freedom of basic building blocks should be treated equally on the same footing and correlated by a possible maximal symmetry, we arrive at a 4-dimensional space-time unification model. In this model the basic building blocks are Majorana fermions in the spinor representation of 14-dimensional quantum space-time with a gauge symmetry GM4D = SO(1,3) × SU(32) × U(1)A × SU(3)F. The model leads to new physics including mirror particles of the standard model. It enables us to issue some fundamental questions that include: why our living space-time is 4-dimensional, why parity is not conserved in our world, how the stability of proton is, what the origin of CP violation is and what the dark matter can be.
Drivers Of Knowledge Economy In The Eu’S Developing Countries

The new EU Member States have made important efforts to achieve an economic growth based on accumulation of knowledge according with principles and realities of developed countries. After accession, Romania has initiated an extensive restructuring process in entire society. The main purpose of this study is to appreciate the knowledge based economy’s features in Romania, comparative to other countries which joined later the EU. In this respect, the study aimed to evaluate the state of knowledge economy depending by a group of elements which refer to the following areas: innovation system, education and ICT. The research methodology was based on the econometric analysis of a representative panel data for the twelve new member states of the EU. Results highlight that for the analyzed countries, education system and the R&D activity had positively affected the economic growth, but the education factors had a stronger impact on the knowledge economy dynamics.
Novel genes underlying beta cell survival in metabolic stress

Relative insulin deficiency, in response to increased metabolic demand (obesity, genetic insulin resistance, pregnancy and aging) lead to Type2 diabetes. Susceptibility of the type 2 diabetes has a genetic basis, as a subset of people with risk factors (obesity, Insulin Resistance, pregnancy), develop Type2 Diabetes. We aimed to identify ‘cluster’ of overexpressed genes, underlying increased beta cell survival in diabetes resistant C57BL/6J ob/ob mice (compared to diabetes susceptible BTBR ob/ob mice). We used ‘consensus’ overexpression status to identify ‘cluster’ of 11 genes consisting of Aldh18a1, Rfc4, Dynlt3, Prom1, H13, Psen1, Ssr4, Dad1, Anpep, Fam111a and Plk1. Information (biological processes, molecular functions, cellular components, protein-protein interactions/associations, gene deletion/knockout/inhibition studies) of all the genes in ‘cluster’ were collected by text mining using different literature search tools, gene information databases and protein-protein interaction databases. Beta cell specific function of these genes were also inferred using meta analysis tool of Beta Cell Biology Consortium, by studying the expression pattern of these genes in microarray studies related to beta-cell stimulation/injury, pancreas development and growth and cell differentiation. In the ‘clusters’, 6 genes (Dad1, Psen1, Ssr4, Rfc4, H13, Plk1) have a role in cell survival. Only Psen1 was previously identified to have role in successful beta cell compensation. We advocate these genes to be potentially involved in successful beta cell compensation and prevent T2D in humans, by conferring protection against diabetogenic insults.
Evolution of human mate choice

This article provides a review of evolutionary theory and empirical research on mate choices in nonhuman species and uses it as a frame for understanding the how and why of human mate choices. The basic principle is that the preferred mate choices and attendant social cognitions and behaviors of both women and men, and those of other species, have evolved to focus on and exploit the reproductive potential and reproductive investment of members of the opposite sex. Reproductive potential is defined as the genetic, material, and/or social resources an individual can invest in offspring, and reproductive investment is the actual use of these resources to enhance the physical and social well‐being of offspring. Similarities and differences in the mate preferences and choices of women and men are reviewed and can be understood in terms of similarities and differences in the form of reproductive potential that women and men have to offer and their tendency to use this potential for the well‐being of children.
Analysis of affiliation-related traits in terms of the PAD Temperament Model.

Affiliation-related traits were explored using findings relating to the Affiliative Tendency (MAFF) and Sensitivity to Rejection (MSR) scales and 3 nearly independent dimensions of the PAD Temperament Model: trait pleasure-displeasure (P), trait arousability (A), and trait dominance-submissiveness (D). Summary equations showed that Affiliative Tendency involved pleasantness and arousability [. 66P + . 34A], whereas Sensitivity to Rejection was mostly submissiveness [. 15A - . 85D]. Dependency resembled affiliative tendency but also included submissiveness [. 26P + . 30A - . 44D]. Emotional empathy also resembled affiliative tendency but emphasized arousability over pleasantness [. 30P + . 70A]. Conformity consisted only of submissiveness. Loneliness [-. 77P - . 23D] resembled boredom and depression. Popularity, moderately opposed to loneliness [. 45P + . 17A + . 38D] resembled the MAFF augmented by dominance. Shyness [-. 30P + . 13A -. 57D] resembled anxiety and neuroticism.
Title The operation of the commerce festival as an activity approachto learning

The main purpose of this study was to investigate changes in skills, motivation to learn and construction of knowledge in activity learning with business subjects through the operation of a Commerce Festival in a secondary school in Hong Kong. The results of this study clearly indicate the students’ positive perceptions of skills improvement. Holding the Commerce Festival by conducting activity learning in business subjects created a positive atmosphere, which enhanced students’ motivation to learn and develop generic skills. Nonetheless, there are areas in the activity learning approach that need improvement, such as task structure, students’ readiness for activity learning and teachers’ readiness for a paradigm shift in