Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Kinect Computing Research in Education and Rehabilitation

Recently Kinect technology device and its benefit in treatment approach are rapidly growing domain of interestingness for researchers and educators. For years, the games and applications, except their entertaining aspect, have discovered an educational and rehabilitation character. In recent years, gesture-based devices have evolved and attracted the attention of researchers, and thus to Microsoft Kinect Xbox. Already, many institutions worldwide use the Kinect to the learning or rehabilitation process. This paper indicates a review of articles to provide a preliminary reconsideration on Microsoft’s Kinect for the Xbox 360. The 16 researches were reviewed in this study are in the filed of education or rehabilitation implemented to users with special needs. The distribution and reviews in the study were research methods, domain of research, learning content, and intended settings of the kinect system. The outcome of this study is the possible uses and limitations of kinect for education and rehabilitation.
Association between CYP2D6 *10 genotype and survival of breast cancer patients receiving tamoxifen treatment.

BACKGROUND Human cytochrome P450 2D6 (CYP2D6) genotype may affect the efficacy of tamoxifen treatment in Caucasian women with breast cancer. The most common polymorphism of CYP2D6 in Chinese women is variant 10 (188 C to T). PATIENTS AND METHODS Tamoxifen and 4-hydroxytamoxifen (4OHtam) were measured in the serum of 37 women with breast cancer who were receiving tamoxifen treatment. The association between CYP2D6 *10 genotype and survival was determined in a cohort of 293 women with breast cancer who received tamoxifen (n = 152) or who did not (n = 141). RESULTS The serum 4OHtam concentrations were significantly lower in women with the CYP2D6 *10 homozygous variant T/T genotype than in those with the homozygous wild-type C/C genotype (P = 0.04). Among tamoxifen-treated women, women with the T/T genotype had a significantly worse disease-free survival (DFS) than those with the C/C or C/T genotype, and the T/T genotype remained an independent prognostic factor of DFS in multivariate analysis (hazard ratio = 4.7; 95% confidence interval = 1.1-20.0; P = 0.04). Among women who did not receive tamoxifen, there was no significant association between CYP2D6 *10 genotype and survival. CONCLUSION In tamoxifen-treated patients, women with the CYP2D6 *10 T/T genotype have a lower 4OHtam level in the serum and a worse clinical outcome.
Real-time grasping planning for robotic bin-picking and kitting applications

Multi-fingered robotic hands can potentially offer a higher degree of dexterity for grasping a variety of parts than a traditional parallel gripper or a custom end of arm tool (EOAT). However, real-time grasp planning for complex robotic hands is a challenging task. In this paper, we present real-time grasping planning algorithms that utilize simple and effective dimension reduction strategies of “intersected volume” and the “finger curling planes”. Therefore, we decompose a time consuming grasp planning problem in high dimensional space into several grasp planning problems in low dimensional space that can be computed in real-time. Our algorithms have been demonstrated with simulation, physical experiments, and robotic bin-picking and kitting applications on two robotic platforms with three different robotic hands.
Centering fMRI data or Removing their First PC amounts to Regressing out the Global Signal

Raphaël Liégeois1, Audrey Vanhaudenhuyse2, Steven Laureys2, Rodolphe Sepulchre1 and Andrea Soddu3 1 Department of Electrical Engineering and Computer Science, University of Liège, Belgium 2 Coma Science Group, Cyclotron Research Centre, University of Liège, Belgium 3 Department of Physics and Astronomy, Western University, London, ON, Canada Email : {R.Liegeois, Avanhaudenhuyse, Steven.Laureys, R.Sepulchre}@ulg.ac. be, asoddu@uwo.ca
Computer-controlled steering of the Apollo spacecraft.

The digital guidance computer is the central control element in the ‘Apollo control, guidante, and navigation system. Efficient operation of the guidance computer during any mission phase requires the performance of many different functions occurring at approximately the same time. Some examples are the processing of input data in the form of velocity increments, gimbal angles, system status signals, astronaut keyboard commands, and ground commands, and producing output such as steering commands, control of mode and caution lamps, digital display updating, and digital telemetry transmission. To illustrate the diversity of requirements with which this computer must cope, a specific phase of the Apollo mission is described in detail, i.e., the control of the spacecraft to accomplish a powered maneuver. OR position and velocity determination (navigation) the Apollo system includes inertial instruments capable of measuring thrust accelerations along three mutually orthogonal axes which are nonrotating. A computer performs accurate integrations and gravity calculations on a real-time basis. Incremental outputs from inertially stabilized integrating accelerometers, together with components of gravitational acceleration computed as functions of inertial position in a feedback loop, are summed to give the components of inertial velocity. The gravity calculations may be performed in a straightforward manner. In Fig. 1, the equations of motion for a vehicle moving in a spherical gravitational field are given together with a simple computation algorithm by means of which position and velocity are obtained as a first-order difference equation calculation. Since velocity is updated by means of the average effective gravity over the interval of one time step, this technique has been termed the “average g” method. The task of providing steering commands (guidance) for major thrusting maneuvers is a boundary value problem subject to a variety of constraints of which fuel conservation, vehicle maneuverability, and time are examples. Explicit solutions to the problem of guidance during periods of major thrusting require relatively complex calculations to be performed in flight on a time-critical basis. Many of the major orbital transfer maneuvers can be accomplished conceptually by a single impulsive velocity change. For these cases an instantaneous velocity-to-be-gained vector based on conic orbits can be defined and the vehicle steered to null this vector. Refer to Fig. 2 and let a vector v, be defined, corresponding to the present vehicle location r, as the instantaneous velocity required to satisfy a set of stated mission objectives. The velocity difference v, between v, and the present vehicle velocity v is then the instantaneous veloc
Numerical simulation of chemotaxis models on stationary surfaces

In this paper we present an implicit finite element method for a class of chemotaxis models, where a new linearized flux-corrected transport (FCT) algorithm is modified in such a way as to keep the density of on-surface living cells nonnegative. Level set techniques are adopted for an implicit description of the surface and for the numerical treatment of the corresponding system of partial differential equations. The presented scheme is able to deliver a robust and accurate solution for a large class of chemotaxis-driven models. The numerical behavior of the proposed scheme is tested on the blow-up model on a sphere and an ellipsoid and on the pattern-forming dynamics model of Escherichia coli on a sphere.
Asymmetric Orthogonal Frequency Division Multiplexing

The system described in this paper is an asymmetric adaptation of orthogonal frequency division multiplexing (OFDM). In a conventional OFDM system, the signal processing hardware is divided equally between the base station and the terminal. In the asymmetric system, most of the complex signal processing hardware is shifted to the base station, making the terminal a simpler and more power-efficient device. To send information to the base station, the terminal transmits a series of QPSK symbols that make up an OFDM-code. The code is designed to distribute the signal's energy into a number of OFDM sub-carriers which can be detected and combined within the base station's OFDM receiver. Other users transmit the same OFDM-codes within the same bandwidth and at the same time, but with slightly offset carrier frequencies. Because of the nature of OFDM, the codes from different users remain orthogonal, even with multipath dispersion. OFDM signals transmitted from the base station are detected at the terminal using a decimator-accumulator structure.
Research and development of algorithms for objects detection on images of industrial materials

The main current directions of research in nanoscale images processing of a high degree of detail are shown in the paper. A system of algorithms for solving a wide range of tasks for the structural analysis of the images of industrial materials has been developed. The experimental results of the developed algorithms have been presented in the article. The results of the image processing of industrial materials have been shown.
Can the Arithmetic Derivative be Defined on a Non-Unique Factorization Domain?

Given n ∈ Z, its arithmetic derivative nis defined as follows: (i) 0 ' = 1 ' = (−1) ' = 0. (ii) If n = up1 ···pk, where u = ±1 and p1,. ,pk are primes (some of them possibly equal), then
Investigating sectoral aspect of FDI in OECD countries

The main aim of this paper is to investigate sectoral aspect of FDI in OECD countries. In particular we create Sectoral Inward FDI performance index and Sectoral Outward FDI performance index which allow us to draw conclusions about comparative advantages of a particular country in a certain sector. In addition, sectoral concentration of FDI is calculated in order to measure whether foreign investment (in a certain sector) is concentrated in one or a limited number of countries, or, contrary, evenly distributed across countries. Moreover, for the same six sectors we present the results of FDI regulatory restrictiveness index to capture discrimination against foreign investment. We find all of the investigated indices vary significantly across sectors, and this should be taken into account by policy-makers.
Jobseeking Methods Used by Unemployed Workers.

Unemployed persons use a variety of methods to look for work, including newspaper ads, inquiries with friends and relatives, and public and private employment agencies. But their most frequently used jobseeking method, by far, is applying directly to prospective employers. This article reports on jobseeking methods used by unemployed workers during 1970 and 1971 and points to the potential value and limitations of these data, which the Bureau of Labor Statistics plans to publish on a regular basis beginning later this year. In much of the theoretical literature on jobsearch it is assumed that one or more job offers of some kind are produced whenever the searcher looks for a job. Thus, theorists are able to discuss the optimal decision about which offers to accept or pass up based on the probability distribution of offers and search costs. If jobseeking methods differ with respect to their associated costs expressed in terms of financial outlays, time spent, and other measures of effort and also with respect to the likelihood of success associated with the different methods, then an appropriate theory of jobseeking should provide for the use of various methods. To apply such a theory, we would need to know the costs of utilizing various jobseeking methods and the probability that an offer would be received when a particular method was used. Although these values are, as yet, unknown, the data presented in this article provide information on the jobseeking methods that people actually used information that may be useful in developing such a theory. The data have been obtained from the Current Population Survey, conducted monthly by the Bureau of the Census for the Bureau of Labor Statistics.1
The Public and Private Faces of Derivative Lawsuits

Derivative suits, long the principal vehicle for discussions about representative litigation in corporate and securities law, now share the stage with younger cousins - securities fraud class actions and state law fiduciary duty class actions. At the same time alternative governance vehicles - independent directors, auditors and other reforms that have followed in the wake of Enron - potentially diminish the relative place of litigation such as derivative suits. This article presents data from all derivative suits filed in Delaware over a two-year period. We find a relatively small number, certainly as compared to fiduciary class action and securities fraud class actions. Unlike these other representative suits, derivative suits are used for both public and close corporations. They arise usually in a duty of loyalty context. Contrary to earlier studies, we do not find evidence that these cases are strike suits yielding little benefit. Instead, roughly 30% of the derivative suits provide relief to the corporation or the shareholders, while the others are usually dismissed quickly with little apparent litigation activity. In cases producing a recovery to shareholders, those amounts typically exceed the amount of attorneys' fees awarded by a significant margin. They do demonstrate some indicia of litigation agency costs (for example suits being filed quickly, multiple suits per controversy, and repeat plaintiffs' law firms), but each of these is much less pronounced for derivative suits than for other forms of representative litigations. Overall, the claim that derivative suits are strike suits is much weaker than in earlier periods. The Delaware judiciary, which hears most public company corporate litigation in America, has effectively monitored these cases. There is room to open the door for larger shareholders to utilize these suits to police corporate misconduct. Institutional shareholders, while not willing to take on as large a role in governance as many have suggested in terms of naming directors and the like, may be willing to take a larger role in derivative litigation. Thus we see potential for derivative litigation to play a more important role in the future. We therefore suggest that suits brought by a one percent or larger shareholder should be excused from the demand requirement currently applied in derivative suits.
A novel feature selection methodology based on outlier detection technologies

Feature selection is becoming more and more important for natural language processing as well as knowledge engineering. In this paper, we induce a simple principle that if an attribute subset has more representativeness, then it should be more self-organized, as a result it should be more insensitive to artificially seeded noise points. Based on that, our novel methodology transforms feature selection problems into outlier detection problems. Because of the characteristics of outlier detection problems, our framework can achieve high tolerance of noises, sub-samplings, and even classification errors in training data sets, which are extraordinary features of our method. Moreover, to evaluate the performance of our method comprehensively, we compare our method with several state-of-the-art methods on a number of real-life data sets, and give all the experiment results, which show that our method can accomplish feature reduction tasks with really high accuracy as well as remarkably low computing complexity.
Survey on Privacy Preserving Data Mining Techniques

— Privacy preserving Data mining is an emerging branch of data mining using which data mining operations are performed in huge amount of data to extract meaningful patterns in such a way such that sensitive information is not revealed. Aim of PPDM algorithms is to cover sensitive information within the information in such a way that information miner will extract important data from the changed information with comparable accuracy like original information. The inspiration driving this work is the growing needs of individuals and organizations to share information publically such that protection is guaranteed. This survey paper provides a review of different PPDM technique which can be used to stop the information access from unauthorized users and focuses on proposing a novel concept that is combined approach of non homogenous anonymization and association rule mining techniques.
Gaze and informativeness during category learning: Evidence for an inverse relation

In what follows, we explore the general relationship between eye gaze during a category learning task and the information conveyed by each member of the learned category. To understand the nature of this relationship empirically, we used eye tracking during a novel object classification paradigm. Results suggest that the average fixation time per object during learning is inversely proportional to the amount of information that object conveys about its category. This inverse relationship may seem counterintuitive; however, objects that have a high-information value are inherently more representative of their category. Therefore, their generality captures the essence of the category structure relative to less representative objects. As such, it takes relatively less time to process these objects than their less informative companions. We use a general information measure referred to as representational information theory (Vigo, 2011a, 2013a) to articulate and interpret the results from our experiment and compare its predictions to those of three models of prototypicality.
NERA: Named Entity Recognition for Arabic

Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products revolving around natural language processing tasks. Many researchers have attacked the name identification problem in a variety of languages, but only a few limited research efforts have focused on named entity recognition for Arabic script. This is due to the lack of resources for Arabic named entities and the limited amount of progress made in Arabic natural language processing in general. In this article, we present the results of our attempt at the recognition and extraction of the 10 most important categories of named entities in Arabic script: the person name, location, company, date, time, price, measurement, phone number, ISBN, and file name. We developed the system Named Entity Recognition for Arabic (NERA) using a rulebased approach. The resources created are: a Whitelist representing a dictionary of names, and a grammar, in the form of regular expressions, which are responsible for recognizing the named entities. A filtration mechanism is used that serves two different purposes: (a) revision of the results from a named entity extractor by using metadata, in terms of a Blacklist or rejecter, about ill-formed named entities and (b) disambiguation of identical or overlapping textual matches returned by different name entity extractors to get the correct choice. In NERA, we addressed major challenges posed by NER in the Arabic language arising due to the complexity of the language, peculiarities in the Arabic orthographic system, nonstandardization of the written text, ambiguity, and lack of resources. NERA has been effectively evaluated using our own tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure.
Leveraging Query Associations in Federated Search

There has been a quantum increase in content published over t he world wide web. Search Engines have done a good job in crawlin g and indexing the web. Search engines generally return resul ts from different context or categories and user modifies his querie s to get a more precise list of results. Also, a user might need to quer y several search engine sources (e.g. videos, photos, news, a nswers etc) before he can find a satisfactory answer to what he is look ing for and his modifications for same context in each search engi n might vary. We present SAFE ( SearchAggregation andFederationEngine) a multiple content source search engine that allows users to s imultaneously search across multiple search engines. It extends t he idea of federation in search and proposes unique ways to capture q uery modifications that is one of the quintessential technique us ed by users to get more relevant results. We use the query modificat ions to enrich the search experience of a user in a federated searc h nvironment by making the search page more content rich, relevan t and personalized.
Abundant expression of ponsin, a focal adhesion protein, in lens and downregulation of its expression by impaired cytoskeletal signaling.

PURPOSE This study was undertaken to improve understanding of the defective lens developmental changes induced by the transgenic overexpression of the Rho GDP dissociation inhibitor RhoGDIalpha. The study was focused on a single differentially expressed gene encoding ponsin, a cell adhesion interacting signaling adaptor protein. METHODS Total RNA extracted from the P7 lenses of Rho GDIalpha transgenic mice was subjected to cDNA microarray analysis. Ponsin distribution in the mouse lenses was determined by immunofluorescence and immunoblot analyses. Interactions among ponsin, actin, and Rho GTPase signaling pathways were explored in lens epithelial cells. RESULTS The RhoGDIalpha transgenic mouse lenses revealed a marked downregulation of expression of multiple splice variants of ponsin. Expression of one of the ponsins (U58883) was found to be abundant in normal mouse lenses. Although ponsin was localized predominantly to the focal adhesions in lens epithelial cells, it was distributed to both the epithelium and fibers, with some isoforms being enriched primarily in the Triton X-100-insoluble fraction in lens tissue. Further, whereas constitutively active RhoA induced ponsin clustering at the leading edges, inhibition of Rho kinase and latrunculin treatment were noted to lead to decreases in ponsin protein levels in lens epithelial cells. CONCLUSIONS Abundant expression of ponsin, a focal adhesion protein in the lens tissue indicates a potential role for this protein in lens fiber cell migration and adhesion. Ponsin expression appears to be closely dependent on Rho GTPase-regulated integrity of actin cytoskeletal organization.
Optimal Control for a Class of Hybrid Systems Under Mixed Costs

A finite horizon optimal control problem for a class of discrete time hybrid systems is formulated and solved. The cost to be minimized is a mixture of H<inf>2</inf>and l<inf>∞</inf>Criteria. New dynamics are introduced to transform the problem into the minimization problem of a purely l<inf>∞</inf>cost. The transformed problem is solved using dynamic programming methods.
Contactless power and information transmission

In some applications, contacts between two devices are the first cause of dysfunctions. The aim of this study is to transfer contactless power energy to add new functions to a tool (a drill machine for example). A bi-directional communication is also needed. This is realized with an ironless high frequency transformer for both power and information transmission. Different coil geometries have been studied to reduce mutual inductance between power and information coils. This new solution enables to build low cost and smart energy transfer systems including communication.