Miracle-dz/UniFAR-FTUs huggingface dataset:
Top 10 Research Questions Related to Teaching Games for Understanding

In this article, we elaborate on 10 current research questions related to the “teaching games for understanding” (TGfU) approach with the objective of both developing the model itself and fostering game understanding, tactical decision making, and game-playing ability in invasion and net/wall games: (1) How can existing scientific approaches from different disciplines be used to enhance game play for beginners and proficient players? (2) How can state-of-the-art technology be integrated to game-play evaluations of beginners and proficient players by employing corresponding assessments? (4) How can complexity thinking be utilized to shape day-to-day physical education (PE) and coaching practices? (5) How can game making/designing be helpfully utilized for emergent learning? (6) How could purposeful game design create constraints that enable tactical understanding and skill development through adaptive learning and distributed cognition? (7) How can teacher/coach development programs benefit from game-centered approaches? (8) How can TGfU-related approaches be implemented in teacher or coach education with the goal of facilitating preservice and in-service teachers/coaches’ learning to teach and thereby foster their professional development from novices to experienced practitioners? (9) Can the TGfU approach be considered a helpful model across different cultures? (10) Can physical/psychomotor, cognitive, affective/social, and cultural development be fostered via TGfU approaches? The answers to these questions are critical not only for the advancement of teaching and coaching in PE and sport-based clubs, but also for an in-depth discussion on new scientific avenues and technological tools.
Poverty and inequality dynamics in Uganda: Insights from the Uganda national Panel Surveys 2005/6 and 2009/10

While Uganda has made significant efforts in reducing the proportion of individuals and households living below the absolute poverty line, nearly 10 percent of the households continue to live in persistent or chronic poverty with significant differences across geographical areas. Of all households classified aspoor in 2009/10, nearly 49 percent were chronically poor households and as such the poor are not a homogenous group. Compared to 1992-99 period, households in Uganda were found to be more vulnerable to poverty in the period 2005/6-2009/10. These observed changes in the nature and patterns of poverty dynamics in Uganda require government to move away from universal poverty reduction interventions that continue to treat the poor as a homogenous group. Otherwise, Uganda’s achievement of the first millennium development goal of halving extreme income poverty earlier than 2015 might not be sustainable.The paper also examines the drivers of income inequality and finds that education remains the key determinant of income inequality. At the same time, income differences between regions are narrowing suggesting an indication of regional convergence on average income. While government’s fiscal targeting of the lagging areas and rural areas might explain the observed convergence in average income across geographical areas, there are other emerging development challenges that require further refinement for the current targeting. Access to public extension programs such as the National Agricultural Advisory Services (NAADS), which are intended to enhance agricultural production and productivity is skewed to well-to-do households and not evenly distributed across region. Similar observations are noted in terms of access to community infrastructure. There is also need to ensure that the benefit of economic growth reach the poorest in a way that expands their opportunities.
ZNF-Mediated Resistance to Imatinib Mesylate in Gastrointestinal Stromal Tumor

Although imatinib mesylate (IM) has transformed the treatment of gastrointestinal stromal tumors (GIST), many patients experience primary/secondary drug resistance. In a previous study, we identified a gene signature, consisting mainly of Kruppel-associated box (KRAB) domain containing zinc finger (ZNF) transcriptional repressors that predict short-term response to IM. To determine if these genes have functional significance, a siRNA library targeting these genes was constructed and applied to GIST cells in vitro. These screens identified seventeen “IM sensitizing genes” in GIST cells (sensitization index (SI) <0.85 ratio of drug/vehicle) with a false discovery rate (FDR) <15%, including twelve ZNF genes, the majority of which are located within the HSA19p12–13.1 locus. These genes were shown to be highly specific to IM and another tyrosine kinase inhibitor (TKI), sunitinib, in GIST cells. In order to determine mechanistically how these ZNFs might be modulating response to IM, RNAi approaches were used to individually silence genes within the predictive signature in GIST cells and expression profiling was performed. Knockdown of the 14 IM-sensitizing genes (10 ZNFs) universally led to downregulation of six genes, including TGFb3, periostin, and NEDD9. These studies implicate a role of KRAB-ZNFs in modulating response to TKIs in GIST.
Studies of the 48 bp repeat polymorphism of the DRD4 gene in impulsive, compulsive, addictive behaviors: Tourette syndrome, ADHD, pathological gambling, and substance abuse.

Prior studies have reported an association between the presence of the 7 repeat allele of the 48 bp repeat polymorphism of the third cytoplasmic loop of the dopamine D4 receptor gene (DRD4) and novelty seeking behaviors, attention deficit hyperactivity disorder (ADHD), Tourette syndrome (TS), pathological gambling, and substance abuse. However, other studies have failed to replicate some of these observations. To determine whether we could replicate these associations we genotyped 737 individuals from four different groups of control subjects, and 707 index subjects from four different groups of impulsive, compulsive addictive behaviors including substance abuse, pathological gambling, TS, and ADHD. Chi-square analysis of those carrying the 7 allele versus non-7 allele carriers was not significant for any of the groups using a Bonferroni corrected alpha of.0125. However, chi-square analysis of those carrying any 5 to 8 allele versus noncarriers was significant for pathological gambling (p <.0001), ADHD (p </=.01) and the total index group (p </=.0004). When the comparison included all 7 alleles the results were significant for gamblers (p <.0001), TS (p </=.003), ADHD (p </=.003), and the total group (p </=.0002). There was a significant increase in the frequency of heterozygosity versus homozygosity for all alleles for pathological gamblers (p </=.0031) and the total index group (p </=.0015), suggesting that heterosis played a role. In the substance abuse subjects a quantitative summary variable for the severity of drug dependence, based on the Addiction Severity Index, showed that the scores varied by increasing severity across the following genotypes: 44 </= heterozygotes </= 77 </= 22. Studies of other quantitative traits indicated an important role for the 2 allele and the 22, 24, and 27 genotypes. All studies indicated that the role of the DRD4 gene in impulsive, compulsive, addictive behaviors is more complex than a sole focus on the 7 versus non-7 alleles.
Intelligent Context-Aware and Adaptive Interface for Mobile LBS

Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users' demands in a complicated environment and suggested the feasibility by the experimental results.
Characterization of the sea bass melanocortin 5 receptor: a putative role in hepatic lipid metabolism

SUMMARY The melanocortin 5 receptor (MC5R) plays a key role in the regulation of exocrine secretion in mammalian species. This receptor has also been characterized in some fish species but its function is unknown. We report the molecular and pharmacological characterization, as well as the tissue expression pattern, of sea bass MC5R. Cloning of five active alleles showing different levels of sensitivity to endogenous melanocortin and one non-functional allele demonstrate the allelic complexity of the MC5R locus. The sea bass receptor was activated by all the melanocortins tested, with ACTH and desacetyl-MSH and β-MSH showing the lowest efficiency. The acetylation of the MSH isoforms seems to be critical for the effectiveness of the agonist. Agouti-related protein had no effect on basal or agonist-stimulated activation of the receptor. SbMC5R was mainly expressed in the brain but lower expression levels were found in several peripheral tissues, including liver. Progressive fasting did not induce up- or downregulation of hypothalamic MC5R expression, suggesting that central MC5R is not involved in the regulation of food intake in the sea bass. MTII, a sbMC5R agonist, stimulated hepatic lipolysis in vitro, measured as free fatty acid release into the culture medium after melanocortin agonist exposure of liver fragments, suggesting that MC5R is involved in the regulation of hepatic lipid metabolism. Taken together, the data suggest that different allelic combinations may confer differential sensitivity to endogenous melanocortin in tissues where MC5R is expressed and, by extension, in hepatic lipid metabolism.
BULK SUPERCONDUCTIVITY IN TYPE II SUPERCONDUCTORS NEAR THE SECOND CRITICAL FIELD

We consider superconductors of Type II near the transition from the 'bulk superconduct- ing' to the 'surface superconducting' state. We prove a new L 1 estimate on the order parameter in the bulk, i.e. away from the boundary. This solves an open problem posed by Aftalion and Ser- faty (AS).
On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification

Binary decisions are very common in artificial intelligence. Applying a threshold on the continuous score gives the human decider the power to control the operating point to separate the two classes. The classifier,s discriminating power is measured along the continuous range of the score by the Area Under the ROC curve (AUC_ROC) in most application fields. Only finances uses the poor single point metric maximum Kolmogorov-Smirnov (KS) distance. This paper proposes the Area Under the KS curve (AUC_KS) for performance assessment and proves AUC_ROC = 0.5 + AUC_KS, as a simpler way to calculate the AUC_ROC. That is even more important for ROC averaging in ensembles of classifiers or n fold cross-validation. The proof is geometrically inspired on rotating all KS curve to make it lie on the top of the ROC chance diagonal. On the practical side, the independent variable on the abscissa on the KS curve simplifies the calculation of the AUC_ROC. On the theoretical side, this research gives insights on probabilistic interpretations of classifiers assessment and integrates the existing body of knowledge of the information theoretical ROC approach with the proposed statistical approach based on the thoroughly known KS distribution.
A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL

This paper confers the evolution of the various image retrieval techniques starting from Keyword based Image Retrieval (KBIR) to Ontology Based Image Retrieval. It addresses various outstanding issues in both past and present. The rapid advancement of image data demands continuing the research and development of Image Retrieval. The exploration in image retrieval has its basis in keyword based retrieval and then evolved to retrieval techniques employing content based low-semantic features approach is that the complete knowledge cannot be mapped and hence there exists some gaps known as semantic gaps. To overcome these gaps, currently, the researchers are interested in Knowledge based retrieval using Ontology. The focus is towards the semantic features because the key words are very subjective, time consuming to search and also the low level features are very tough to map into high level concepts in user minds.
Threshold for Positional Weight Matrix

—In biological sequence research, the positional weight matrix (PWM) is often used to search for putative transcription factor binding sites. A set of experimentally verified oligonucleotides known to be functional motifs are collected and aligned. The frequency of each nucleotide A, C, G, or T at each column of the alignment is calculated in the matrix. Once a PWM is constructed, it can be used to search from a nucleotide sequence for subsequences that can possibly perform the same function. The match between a subsequence and a PWM is usually described by a score function, which measures the closeness of the subsequence to the PWM as compared with the given background. Nevertheless, the score function is usually motif-length-dependent and thus there is no universally applicable threshold. In this paper, we propose an alternative scoring index ( G ) varying from zero, where the subsequence is not much different from the background, to one, where the subsequence fits best to the PWM. We also propose a measure evaluating the statistical expectation at each G index. We investigated the PWMs from the TRANSFAC and found that the statistical expectation is significantly ( p <0.0001) correlated with both the length of the PWMs and the threshold G value. We applied this method to two PWMs (GCN4_C and ROX1_Q6) of yeast transcription factor binding sites and two PWMs (HIC1-02, HIC1_03) of the human tumor suppressor (HIC-1) binding sites from the TRANSFAC database. Finally, our method compares favorably with the broadly used Match method. The results indicate that our method is more flexible and can provide better confidence.
Matter-wave solitons with a periodic, piecewise-constant scattering length

Motivated by recent proposals of ``collisionally inhomogeneous'' Bose-Einstein condensates (BECs), which have a spatially modulated scattering length, we study the existence and stability properties of bright and dark matter-wave solitons of a BEC characterized by a periodic, piecewise-constant scattering length. We use a ``stitching'' approach to analytically approximate the pertinent solutions of the underlying nonlinear Schr\"odinger equation by matching the wave function and its derivatives at the interfaces of the nonlinearity coefficient. To accurately quantify the stability of bright and dark solitons, we adapt general tools from the theory of perturbed Hamiltonian systems. We show that stationary solitons must be centered in one of the constant regions of the piecewise-constant nonlinearity. We find both stable and unstable configurations for bright solitons and show that all dark solitons are unstable, with different instability mechanisms that depend on the soliton location. We corroborate our analytical results with numerical computations.
The premium for part-time work in Australia

Booth and Wood (2008), using longitudinal data from 2001 through 2004, found a large part-time wage premium for both men and women in Australia. Longitudinal studies of the full-time/part-time wage differential in other countries find small penalties or premiums, or no significant wage differentials. The objective of this paper is to explain the nature of the premium in Australia. We find the premium is pervasive across age groups, occupations and industries. It is not explained by the way part-time work is defined, or by the pay loading received in Australia by employees on casual contracts. We find substantial hourly wage increases accompany a move into part-time employment and similarly large hourly wage decreases occur when moving into full-time employment. The magnitude of these wage changes is smaller when the change from full-time to part-time employment (or vice versa) occurs with a change of employer. For women, we found evidence that the contemporaneous effect on the wage of moving into, or out of, part-time employment is not sustained beyond one, or at most two, years.
THREE-DIMENSIONAL SPECTRAL SIMULATIONS OF ANELASTIC TURBULENT CONVECTION

We have adapted the anelastic spectral code of Barranco & Marcus to simulate a turbulent convective layer with the intention of studying the effectiveness of turbulent eddies in dissipating external shear (e.g., tides). We derive the anelastic equations, show the time integration scheme we use to evolve these equations, and present the tests we ran to confirm that our code does what we expect. Further, we apply a perturbative approach to find an approximate scaling of the effective eddy viscosity with frequency and find that it is in general agreement with an estimate obtained by applying the same procedure to a realistic simulation of the upper layers of the solar convective zone.
Investigation into effect of mixed air gap eccentricity on dq components of currents in induction motor

dq components of currents are extensively used in the controller applications of industrial drives as they are dc quantities. In this paper, it is shown that these components will no longer remain as dc quantities, if they are extracted from the induction motor suffering from mixed air gap eccentricity. A dynamic model of an induction motor suffering from mixed air gap eccentricity is developed and simulated to show the presence of eccentricity characteristic harmonics in dq components of the stator currents in synchronous reference frame. In this paper, it is also shown that the frequency analysis of dq currents helps in the detection of air gap non uniformity in the machine. The results obtained by modeling and simulation are also validated experimentally.
The Timing and Source of Long-Run Returns Following Repurchases

This paper investigates the timing and source of anomalous positive long-run abnormal returns following repurchase authorizations. Returns between program authorization and completion announcements are indistinguishable from 0. Abnormal returns occur only after completion announcements. Long-run returns are largely attributable to announcement returns at subsequent authorizations and takeover attempts; that is, anomalous post-authorization returns are not persistent drifts but rather step functions. These findings have important implications for prior papers examining this most persistent and widespread anomaly. Further, our results serve to refocus the search for a rational explanation for the anomaly on subsequent repurchase announcements and takeover bids.
Homogenization of plain weave composites with imperfect microstructure : Part I – Theoretical formulation

A simple procedure is presented for the determination of a Periodic Unit Cell (PUC) for plain weave fabric composites with reinforcement imperfections. Geometrical parameters of the PUC are determined so that the resulting PUC resembles the real geometry of a composite, obtained from digitized micrographs of plain weave crosssections, as close as possible. As the first step, the morphology of a real composite is described by appropriate statistical descriptors. Then, the parameters of the idealized unit cells follow from minimization of the objective function defined as the least square difference of the statistical descriptor related to the original microstructure and to the idealized unit cell, respectively. Once the desired geometrical parameters are determined, the Finite Element model of a woven composite is formulated and used to predict the overall response of the composite by the numerical homogenization method. The quality of the resulting unit cells is addresses from the point of view of effective elastic properties to examine the applicability and limitations of this procedure and to provide modelling strategy for analysis of real world material systems.
Noise reduction using FeedForward ANC System based on online secondary path modeling

Destructive interference is the principle on which ANC (active noise control) system is based. In destructive interference an anti-noise signal is generated using adaptive filter and is superimposed upon noise signal, as a result the unwanted noise is reduced. The secondary path of ANC is assessed off-line prior to use of ANC system when no reference noise exists. But, in practical applications, reference noise exists and secondary path may be varying with time. This may lead to ANC system instability and adaptive filter may not be able to converge. In such cases, this time varying secondary path should be modeled online to make sure proper functioning of ANC system. In this paper, ANC system based on online modeling of secondary path is applied to ambulance siren noise. The simulations performed in MATLAB show that noise level is reduced by approximately 37 dB, which is a considerable reduction in noise level.
Volume-of-Interest Imaging of the Inner Ear in a Human Temporal Bone Specimen Using a Robot- Driven C-Arm Flat Panel Detector CT System

SUMMARY: VOI imaging can provide higher image quality at a reduced dose for a subregion. In this study with a robot-driven C-arm FDCT system, the goals were proof of feasibility for inner ear imaging, higher flexibility during data acquisition, and easier processing during reconstruction. First a low-dose OV scan was acquired allowing an orientation and enabling the selection of the VOI. The C-arm was then moved by the robotic system without a need for patient movement and the VOI was scanned with adapted parameters. Uncompromised artifact-free image quality was achieved by the 2-scan approach and the dose was reduced by 80%–90% in comparison with conventional MSCT and FPCT scans.
A Trusted Authorization Scheme for E-Commerce Systems

The trusted authorization scheme is core content of e-commerce. Authorization refers to a kind of mechanism that specific authenticated users can access secure resources. Authorization system relies on the authentication system to confirm the identity of legitimate users and prevent unauthorized users. In order to solve the trusted problem of authorization, TPM1.2 specification published by TCG organization contains a series of protocols to resist all forms of attack. However, there are some security flaws in these protocols. A new trusted authorization protocol securer than OIAP protocol is proposed in the paper. The scheme ensures that only if the returned message is received and identified by the application the authorized access can be executed. This make the subject is credible when accessing key data in the trusted terminal and this can ensure the credibility of the e-commerce transactions. The security of the scheme is analyzed using formal logic method.