Miracle-dz/UniFAR-FTUs huggingface dataset:
“ Body Shots ” : Analyzing Shooting Styles in the NBA using Body Pose

In this work we develop a novel attribute-based representation of a basketball player’s body pose during his three point shot. The attributes are designed to capture the highlevel bodymovements of a player during the different phases of his shot, e.g., the jump and release. Analysis is performed on 1500 labeled three point shots. Normalized for game context, weusePearson’s Chi-squared test to quantify differences in attributedistributions for made andmissed shots, where we observe statistically signi󰅭icant differences in distributions of attributes describing the style of movement, e.g., walk, run, or hop, in various phases of the shot. Similarly, with 󰅭ixed shot outcomes, across game contexts, we observe statistically signi󰅭icant differences in distributions of attributes describing the pass quality, direction of movement, and footwork. We also present a case study for Stephen Curry, wherewe observe that Currymovesmuchmore than the average player in all phases of his shot and he takes a higher proportion of off-balance shots compared to the average player.
Legal Perspective of the Internet Hoax

The hoax is a global issue that must be face by many countries today. Hoaxes does not recognize the condition of a country whether the country is developed, developing or least developed country. As long as a country is connected by an Internet network and have many users on social media, hoax issues are inevitable, this condition brought many countries to the same level playing field with different set of readiness. The urgency to address hoax issues, has led this paper to examine the effectiveness of regulation as a safety fence to regulate informational rights. In so, arising basic question about what is hoax, and how to regulate it? The aim of this research is to analyzeregulation regarding hoax. This research is using doctrinal method with conceptual, theoretical, and comparative approaches. We found some of interesting funding, such as: terminology discourse, policy approach, and influenced factors as an actor of information diffusions. With this paper findings, we hope that hoax issue can be regulate more effective in the future.
Predicting pathway membership via domain signatures

Motivation: Functional characterization of genes is of great importance for the understanding of complex cellular processes. Valuable information for this purpose can be obtained from pathway databases, like KEGG. However, only a small fraction of genes is annotated with pathway information up to now. In contrast, information on contained protein domains can be obtained for a significantly higher number of genes, e.g. from the InterPro database. Results: We present a classification model, which for a specific gene of interest can predict the mapping to a KEGG pathway, based on its domain signature. The classifier makes explicit use of the hierarchical organization of pathways in the KEGG database. Furthermore, we take into account that a specific gene can be mapped to different pathways at the same time. The classification method produces a scoring of all possible mapping positions of the gene in the KEGG hierarchy. Evaluations of our model, which is a combination of a SVM and ranking perceptron approach, show a high prediction performance. Moreover, for signaling pathways we reveal that it is even possible to forecast accurately the membership to individual pathway components. Availability: The R package gene2pathway is a supplement to this article. Contact: h.froehlich@dkfz-heidelberg.de Supplementary Information: Supplementary data are available at Bioinformatics online.
The evolution of the tense-aspect system in Hindi/Urdu

The paper deals with the diachrony of the past and perfect system in Indo-Aryan with special reference to Hindi/Urdu. Starting from the acknowledgement of ergativity as a typologically atypical feature among the family of Indo-European languages and as specific to the Western group of Indo-Aryan speeches, I first show that such an evolution has been central to the Romance languages too and that non ergative Indo-Aryan languages have not ignored the structure but at certain point went further along the same historical logic as have Roman languages. I will then propose an analysis of the structure as a predication of localization similar to other stative predications (mainly with “dative” subjects) in Indo-aryan, supporting this claim by an attempt of etymologic inquiry into the markers for “ergative” case in Indo-Aryan.
Dataset for classification of computer graphic images and photographic images

The recent advancements in computer graphics (CG) image rendering techniques have made it easy for the content creators to produce high quality computer graphics similar to photographic images (PG) confounding the most naïve users. Such images used with negative intent, cause serious problems to the society. In such cases, proving the authenticity of an image is a big challenge in digital image forensics due to high photo-realism of CG images. Existing datasets used to assess the performance of classification models are lacking with: (i) larger dataset size, (ii) diversified image contents, and (iii) images generated with the recent digital image rendering techniques. To fill this gap, we created two new datasets, namely, ‘JSSSTU CG and PG image dataset’ and ‘JSSSTU PRCG image dataset’. Further, the complexity of the new datasets and benchmark datasets are evaluated using handcrafted texture feature descriptors such as gray level co-occurrence matrix, local binary pattern and VGG variants (VGG16 and VGG19) which are pre-trained convolutional neural network (CNN) models. Experimental results showed that the CNN-based pre-trained techniques outperformed the conventional support vector machine (SVM)-based classifier in terms of classification accuracy. Proposed datasets have attained a low f-score when compared to existing datasets indicating they are very challenging.
High Performance Magnetic Core for Induction Hardening Devices

Machine structural parts, such as bearings and gears, are strengthened by the thermal process for improving reliability. The drive parts for automobiles are required to have strength in certain areas of complex shapes; therefore, the best thermal process is applied to the required area with induction hardening. Magnetic material called "core" is attached to the heating coil of induction hardening equipment ("magnetic core"). In this paper, we are presenting a high performance magnetic core that exhibits superior magnetic characteristics as well as mechanical strength developed for induction hardening. Nihon Kagaku Yakin Co., Ltd. of the NTN group develops various magnetic materials satisfying demand properties. In this report, it is attached to the heating coil part of the induction hardening device and introduces about a high-performance magnetic core in a magnetism characteristic and a mechanical characteristic to be used for control of the quenching depth. Takuji HARANO*
A Coupled Magneto-thermal Model of Rotary Transformers for the Optimal Design of Claw Pole Alternators Excitation

The average reliability of standard automotive claw pole alternators gliding contacts drastically limits their lifetime that generally does not exceed 5 years. The following paper proposes to replace these gliding contacts by an iron silicon rotary transformer associated to an electronic power converter operating as a contactless transmission power system. The design process is based on non linear multi-domain analysis model divided into a magnetic, thermal and electrical part, optimised thanks to a sequential quadratic programming algorithm. The challenge for this mechatronics application is to propose models for the different domain of the physic with a sufficient and comparable accuracy and to assure a real coupling of these models in the optimisation process. The method is applied to a particular claw pole alternator and the electromagnetic and thermal performances are subsequently confirmed using finite element method (FEM). The optimal result indicates that the rotary transformer is a good challenger to gliding contacts in term of compactness. Other advantages and limitations of the optimal rotary transformer are discussed.
The Application of Computer Vision and Machine Learning Technology in 3D Human Animation

— Face detection and recognition tracking technology is an important issue in the field of robot vision research. Feature extraction and matching algorithm based on SURF can deal with the problem of matching between the two images, which are translation, rotation and affine transformation. This paper introduces the SURF algorithm basic principles, and the combination of the algorithm and the cascade classifier used in face detection and recognition. Then we use open source function library programming with the XBOX360 visual sensor Kinect image acquisition in the laboratory, which has yielded very good results for face recognition. The experiments show that the SURF algorithm has strong robustness to the change of face size, rotation and illumination.
Self-disclosure and SNS Platforms: The Impact of SNS Self-disclosure and SNS Platforms: The Impact of SNS Transparency and Culture Transparency and Culture

Self-disclosure on social networking platforms has attracted attention in Information Systems (IS) research. While studies have connected individual beliefs such as perceived privacy, perceived benefits, and cost to SNS use, less research has examined how characteristics of the social media platform itself shape SNS use. This study extends the literature by examining how the interplay between SNS transparency and individual culture affect user's self-disclosure of personal information as well as factors that shape users’ perceptions on SNS transparency. Drawing on Accountability Theory, Communication Privacy Management Theory, and Culture Theory, we build a comprehensive, integrative model that offers a more holistic view of self-disclosure and the impact of the contextual factors on self-disclosure behaviors. The proposed study will use factorial survey (Vance et al. 2013) to collect data. This study will conceptually develop and operationalize a new construct — SNS transparency — that could help the researchers to gain better understanding of SNS-based self-disclosure and offers insights into how to integrate transparency into social media platforms.
No . 207 Knowledge capital and total factor productivity

Development of “new economies” leading to economies mostly based on knowledge implies the construction of new long-term macroeconometric models. They should incorporate the impacts of new technologies being endogenized, as well as human capital. The paper discusses several issues related to the extension of the notion of production function. They cover first of all the measurement and explanation of total factor productivity (TFP), the role of domestic and foreign R&D expenditures, as well as educational expenditures. The discussion is extended to include proposals to construct new submodels explaining the sections of research and education and also the ICT industries.
Dynamic Response of Laminated Glass under Blast Loading: Effect of Negative Phase

Most of the recent studies have emphasized the effect of the positive phase of blast loading while determining the structural response. The effect of the negative phase on the dynamic structural response has been ignored. This research focuses on the effect of the negative phase of a blast loading on the dynamic response of an architectural laminated glass. A closed-form solution based on the classical plate theory is developed and then the results are compared with a 3-dimensional nonlinear dynamic finite element analysis. Results indicate that the negative phase of a blast loading has a significant effect on the dynamic response of the laminated glass panel. In particular, mid-span panel deflection and stress due to negative phase pressure are almost double the corresponding quantities due to positive phase. This may mean that if the glazing does not fail in the positive loading duration, but it may do so in the negative loading phase because of higher dynamic stresses during this later phase.
Model-based contrastive explanations for explainable planning

An important type of question that arises in Explainable Planning is a contrastive question, of the form “Why action A instead of action B? ”. These kinds of questions can be answered with a contrastive explanation that compares properties of the original plan containing A against the contrastive plan containing B. An effective explanation of this type serves to highlight the differences between the decisions that have been made by the planner and what the user would expect, as well as to provide further insight into the model and the planning process. Producing this kind of explanation requires the generation of the contrastive plan. This paper introduces domain-independent compilations of user questions into constraints. These constraints are added to the planning model, so that a solution to the new model represents the contrastive plan. We introduce a formal description of the compilation from user question to constraints in a temporal and numeric PDDL2.1 planning setting.
A Policy Research Brief produced by the National Council of Teachers of English Evaluating English / Language Arts Teachers

This publication of the James R. Squire Office of Policy Research offers updates on research with implications for policy decisions that affect teaching and learning. Each issue addresses a different topic, and all issues can be found at www.ncte. org. Educators, politicians, the general public—everyone wants excellent teachers in our nation's classrooms. Teachers want to be held to high standards, teacher educators want to inspire quality teaching in prospective teachers, educational researchers want to ascertain the most effective methods for evaluating teachers, and community members and policymakers want to make sure American teachers challenge students to achieve and become future leaders. This attention to teacher quality is justified because research has long acknowledged that teachers are the single most important factor when it comes to student learning. 1 However, recent expressions of concern about teacher quality and Race to the Top legislation have led to policies that define teacher quality in terms of student performance on standardized tests. As of October 2011, 24 states require that determinations of teacher quality include measures of student achievement, and 13 of these states require that student standardized test scores be the majority determinant of teacher quality. 2 Defining teacher quality in terms of student test scores has a significant impact on the evaluation of English/language arts teachers. Accordingly, this brief interrogates teacher quality, including the meanings attached to it and ways of evaluating it. This brief also offers approaches that will support policymakers, researchers, and educators in their common pursuit of excellent teaching in our nation's classrooms. Definitions Defining teacher quality in terms of students' scores on standardized tests is one way of emphasizing the importance of student achievement. It has the advantage of clarity and expediency. However, this definition does not take into account the body of research on teacher effectiveness or quality. Most of this research portrays teacher quality as a complex phenomenon that can vary with context and includes manifestations of these observable dimensions: Preparation Planning Instructional practices Professionalism. 3 The details of these dimensions, as illuminated by research, vary. Preparation , which includes subject matter knowledge and teacher education, can be correlated with student achievement. 4 Planning, or designing instruction and assessments, appears to be most effective when it includes frequent collaboration with colleagues. 5 Instructional practices, which occur mainly in the classroom, benefit from effectiveness measures that take teachers' contexts into account; they have a greater impact on teachers' …
Towards the preparation of synthetic outer membrane vesicle models with micromolar affinity to wheat germ agglutinin using a dialkyl thioglycoside

A series of alkyl thioglycosides and alkyl thiodiglycosides bearing glucose and N-acetylglucosamine residues were prepared by thiol–ene coupling in moderate to good yields (40–85%). Their binding ability towards wheat germ agglutinin was measured by competitive enzyme-linked lectin assays. One of the synthetic compounds presenting two GlcNAc units showed the highest inhibitory effect of this study with an IC50 of 11 µM corresponding to a 3182-fold improvement compared to GlcNAc. These synthetic molecules were used to produce giant vesicles, alone or in mixture with phospholipids, mimicking bacterial outer membrane vesicles (OMV) with potential antiadhesive properties.
Pick My Desk and Go: A Solution to Improve Team Dynamics

In this article, we describe the preliminary results of an ongoing project to improve the dynamics of innovative teams. We investigate how to design a system that allows employees in an open space to swap the place with a colleague for one day. We call this system “Pick my desk and go” and we combine notions from people analytics and organizational design to illustrate how the system enhances collaboration among team members and knowledge exchange. We tested the system for a period of eight weeks and we collected empirical evidences and insights from semi-structured interviews that support our claim concerning the effectiveness of the system to improve team creativity. We conclude the paper by illustrating the features of the next version of the system in order to increase its effectiveness as a persuasive system.
BENCHOP–SLV The BENCHmarking project in Option Pricing–Stochastic and Local Volatility problems

In the recent project BENCHOP – the BENCHmarking project in Option Pric-ingwefoundthatStochasticandLocalVolatilityproblemswereparticularlychallenging.Herewecontinuetheeffortbyintroducingasetofbenchmarkproblemsforthistypeofproblems. EightdifferentmethodstargetedfortheStochasticDifferentialEquation(SDE)formulationandthePartialDifferen-tialEquation(PDE)formulationoftheproblem,aswellasFouriermethodsmakinguseofthecharacteristicfunction,wereimplementedtosolvetheseproblems.Comparisonsaremadewithrespecttotimetoreachacertainerrorlevelinthecomputedsolutionforthedifferentmethods. Theimple-mentedFouriermethodwassuperiortoallothersforthetwoproblemswhereitwasimplemented.Generally,methodstargetingthePDEformu-lationoftheproblemoutperformedthemethodsfortheSDEformulation.AmongthemethodsforthePDEformulationtheADImethodstoodoutasthebestperformingone.
Spring Land Surface and Subsurface Temperature Anomalies and Subsequent Downstream Late Spring‐Summer Droughts/Floods in North America and East Asia

Sea surface temperature (SST) variability has been shown to have predictive value for land precipitation, although SSTs are unable to fully predict intraseasonal to interannual hydrologic extremes. The possible remote effects of large‐scale land surface temperature (LST) and subsurface temperature (SUBT) anomalies in geographical areas upstream and closer to the areas of drought/flood have largely been ignored. Here evidence from climate observations and model simulations addresses these effects. Evaluation of observational data using Maximum Covariance Analysis identifies significant correlations between springtime 2‐m air temperature (T2 m) cold (warm) anomalies in both the western U.S. and the Tibetan Plateau and downstream drought (flood) events in late spring/summer. To support these observational findings, climate models are used in sensitivity studies, in which initial LST/SUBT anomaly is imposed to produce observed T2 m anomaly, to demonstrate a causal relationship for two important cases: between spring warm T2 m/LST/SUBT anomalies in western U.S. and the extraordinary 2015 flood in Southern Great Plains and adjacent regions and between spring cold T2 m/LST/SUBT anomalies in the Tibetan Plateau and the severe 2003 drought south of the Yangtze River region. The LST/SUBT downstream effects in North America are associated with a large‐scale atmospheric stationary wave extending eastward from the LST/SUBT anomaly region. The effects of SST in these cases are also tested and compared with the LST/SUBT effects. These results suggest that consideration of LST/SUBT anomalies has the potential to add value to intraseasonal prediction of dry and wet conditions, especially extreme drought/flood events. The results suggest the importance of developing land data and models capable of preserving observed soil memory.
A Very Robust Auction Mechanism

A single unit of a good is to be sold by auction to one of many potential buyers. There are two equally likely states of the world. Potential buyers receive noisy signals of the state of the world. The accuracies of buyers Â’signals may diÂ¤er. A buyerÂ’s valuation is the sum of a common value component that depends on the state and an idiosyncratic private value component independent of the state. The seller knows nothing about the accuracies of the signals or about buyersÂ’ beliefs about the accuracies. It is common knowledge among buyers that the accuracies of the signals are conditionally independent and uniformly bounded below 1 and above 1=2, and nothing more. We demonstrate a modifiÂ…ed second price auction that has the property that, for any " > 0; the sellerÂ’s expected revenue will be within " of the highest buyer expected value when the number of buyers is sufficiently large and buyers make undominated bids.
QCADesigner: a rapid design and Simulation tool for quantum-dot cellular automata

This paper describes a project to create a novel design and simulation tool for quantum-dot cellular automata (QCA), namely QCADesigner. QCA logic and circuit designers require a rapid and accurate simulation and design layout tool to determine the functionality of QCA circuits. QCADesigner gives the designer the ability to quickly layout a QCA design by providing an extensive set of CAD tools. As well, several simulation engines facilitate rapid and accurate simulation. This tool has already been used to design full-adders, barrel shifters, random-access memories, etc. These verified layouts provide motivation to continue efforts toward a final implementation of QCA circuits.
C O ] 5 O ct 2 01 4 On the n − dominating graph of K

Let G = (V,E) be a graph. A set S ⊆ V (G) is a dominating set, if every vertex in V (G)\S is adjacent to at least one vertex in S. The k-dominating graph of G, Dk(G), is defined to be the graph whose vertices correspond to the dominating sets of G that have cardinality at most k. Two vertices in Dk(G) are adjacent if and only if the corresponding dominating sets of G differ by either adding or deleting a single vertex. In this paper we consider Dn(Kn) and study some of its properties. Mathematics Subject Classification: 05C60, 05C69.