Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Review of Physical Therapist Clinical Instructor Demographics and Key Characteristics: Impact on Student Clinical Education Experiences

Background. The clinical instructor (CI) plays a significant role in a physical therapist (PT) student's clinical education (CE) experience. Authors have reported previous systematic reviews concerning effective teaching behaviors and communication styles across the allied health professions, but physical therapist CIs have not been closely analyzed. Purpose. To identify key CI demographics/characteristics that impact PT students’ CE experiences. Data Sources. PubMed, PEDro, Pro‐Quest, Google Scholar, CINAHL, and ERIC were searched up through September 2015. Data Extraction. Quantitative data extracted included CI demographics, CI teaching behaviors, and fundamental characteristics that have an effect on CI teaching effectiveness. Data Synthesis. Eight articles were selected. Three elements emerged from a qualitative descriptive thematic analysis: CI demographic data, CI credentialing status, and communication/teaching styles. The most effective communication skills exhibited by CIs included giving timely feedback to the student, using clear and concise communication, and clearly explaining responsibilities to the student. It is unclear from this review whether American Physical Therapy Association (APTA) credentialing influences CI effectiveness. Limitations. Publication bias and regional bias may limit generalizability of results. Conclusions. The data from this review identified key CI demographic and personal/environmental characteristics that positively impacted student outcomes. Higher level evidence and using reliable standard outcome measures is recommended to determine if CI effectiveness correlates with being an APTA‐credentialed CI or any other demographic data. Innovative training programs could be designed to highlight the personal and environmental characteristics related to positive student outcomes.
Bioinformatics Analysis of Small RNAs in Pima (Gossypium barbadense L.)

Small RNAs (sRNAs) are ~20 to 24 nucleotide single-stranded RNAs that play crucial roles in regulation of gene expression. In plants, sRNAs are classified into microRNAs (miRNAs), repeat-associated siRNAs (ra-siRNAs), phased siRNAs (pha-siRNAs), cis and trans natural antisense transcript siRNAs (cis- and trans-nat siRNAs). Pima (Gossypium barbadense L.) is one of the most economically important fiber crops, producing the best and longest spinnable fiber. Although some miRNAs are profiled in Pima, little is known about siRNAs, the largest subclass of plant sRNAs. In order to profile these gene regulators in Pima, a comprehensive analysis of sRNAs was conducted by mining publicly available sRNA data, leading to identification of 678 miRNAs, 3,559,126 ra-siRNAs, 627 pha-siRNAs, 136,600 cis-nat siRNAs and 79,994 trans-nat siRNAs. The 678 miRNAs, belonging to 98 conserved and 402 lineage-specific families, were produced from 2,138 precursors, of which 297 arose from introns, exons, or intron/UTR-exon junctions of protein-coding genes. Ra-siRNAs were produced from various repeat loci, while most (97%) were yielded from retrotransposons, especially LTRs (long terminal repeats). The genes encoding auxin-signaling-related proteins, NBS-LRRs and transcription factors were major sources of pha-siRNAs, while two conserved TAS3 homologs were found as well. Most cis-NATs in Pima overlapped in enclosed and convergent orientations, while a few hybridized in divergent and coincided orientations. Most cis- and trans-nat siRNAs were produced from overlapping regions. Additionally, characteristics of length and the 5’-first nucleotide of each sRNA class were analyzed as well. Results in this study created a valuable molecular resource that would facilitate studies on mechanism of controlling gene expression.
Online Sales , Music Downloads , and the Decline of Retail Music Specialty Stores

This paper uses phonebook records of music retailers for the entire US in the years 1998 and 2002 to examine how music downloads and online sales of records have affected the entry and exit of brick and mortar music specialty retailers. Merging music stores information with data on internet activity and broadband connectedness at the Metropolitan Statistical Area (MSA) level, with data on the number of broadband providers at the zip code level, and with a database of the location of universities, I analyze how online purchases and file-sharing affected the survival probability and the change in the number of music stores between the years 1998 and 2002. I use store characteristics to further study how the new economy has affected the market structure of the retail music business.
Predicting the Vulnerability of Great Apes to Disease: The Role of Superspreaders and Their Potential Vaccination

Disease is a major concern for the conservation of great apes, and one that is likely to become increasingly relevant as deforestation and the rise of ecotourism bring humans and apes into ever closer proximity. Consequently, it is imperative that preventative measures are explored to ensure that future epidemics do not wipe out the remaining populations of these animals. In this paper, social network analysis was used to investigate vulnerability to disease in a population of wild orang-utans and a community of wild chimpanzees. Potential ‘superspreaders’ of disease - individuals with disproportionately central positions in the community or population - were identified, and the efficacy of vaccinating these individuals assessed using simulations. Three resident female orang-utans were identified as potential superspreaders, and females and unflanged males were predicted to be more influential in disease spread than flanged males. By contrast, no superspreaders were identified in the chimpanzee network, although males were significantly more central than females. In both species, simulating the vaccination of the most central individuals in the network caused a greater reduction in potential disease pathways than removing random individuals, but this effect was considerably more pronounced for orang-utans. This suggests that targeted vaccinations would have a greater impact on reducing disease spread among orang-utans than chimpanzees. Overall, these results have important implications for orang-utan and chimpanzee conservation and highlight the role that certain individuals may play in the spread of disease and its prevention by vaccination.
A Secure One-Roundtrip Index for Range Queries

We present the first one-roundtrip protocol for performing range, range-aggregate, and order-by-limit queries over encrypted data, that both provides semantic security and is efficient. We accomplish this task by chaining garbled circuits over a search tree, using branch-chained garbled circuits, as well as carefully designing garbled circuits. We then show how to build a database index that can answer order comparison queries. We implemented and evaluated our index. We demonstrate that queries as well as inserts and updates are efficient, and that our index outperforms previous interactive constructions. This index is part of the Arx database system, whose source code will be released in the near future.
Network Interface Design for Low Latency Request-Response Protocols

Ethernet network interfaces in commodity systems are designed with a focus on achieving high bandwidth at low CPU utilization, while often sacrificing latency. This approach is viable only if the high interface latency is still overwhelmingly dominated by software request processing times. However, recent efforts to lower software latency in request-response based systems, such as memcached and RAMCloud, have promoted network interface into a significant contributor to the overall latency. We present a low latency network interface design suitable for request-response based applications. Evaluation on a prototype FPGA implementation has demonstrated that our design exhibits more than double latency improvements without a meaningful negative impact on either bandwidth or CPU power. We also investigate latency-power tradeoffs between using interrupts and polling, as well as the effects of processor's low power states.
Semi-automatic extraction of policy network using web search engine

World Wide Web (WWW) has different type of large collection of data, with available information for every single user query. Policy group or network is helpful to the person those are political scientist. They are used to understand the financial and social topics/Theory. Evaluation of policy groups requires hard and taking so much time. This process is manual including interviews and questionnaires. In this paper we are extracting the feature from www i.e. world wide web and then calculating the strength of relation between the pair of groups or actors after that using evaluation metrics evaluate correlation and then compare with the machine learning algorithm(KNNP). Mainly focus on the improving the correlation using the proposed algorithm. We are saying features it include webpage, web documents, web snippets, extraction of outlinks and also extracting lexical information about those actor.
A Novel MRF-Based Image Segmentation Algorithm

Proposed a novel image segmentation method based on Markov random field (MRF) and context information. The method introduces the relationships of observed image intensities and distance between pixels to the traditional neighborhood potential function, so that to describe the probability of pixels being classified into one class. We transform the segmentation process to maximum a posteriori (MAP) by Bayes theorem. Finally, the iterative conditional model (ICM) is used to solve the MAP problem. In the experiments, this method is compared with traditional expectation-maximization (EM) and MRF image segmentation techniques using synthetic and real images. The experiment results and SNR-CCR histogram show that the algorithm proposed is more effective for noisy image segmentation.
Does Endurance Fatigue Increase the Risk of Injury When Performing Drop Jumps?

Moran, KA, Clarke, M, Reilley, F, Wallace, ES, Brabazon, D, and Marshall, B. Does Endurance Fatigue Increase the risk of injury when performing drop jumps? J Strength Cond Res 23(5): 1448-1455, 2009-Although from an athletic performance perspective it may be beneficial to undertake drop jump training when fatigued (principle of “specificity” of training), such endurance fatigue may expose the body to a greater risk of injury if it causes an increase in peak impact accelerations. This study aimed to determine if endurance fatigue resulted in an increase in tibial peak impact acceleration and an associated change in knee kinematics when completing plyometric drop jumps. Fifteen females performed drop jumps from 3 heights (15, 30, and 45 cm) when fatigued and nonfatigued. Treadmill running was used to induce endurance fatigue. The following variables were assessed: tibial peak impact acceleration, knee angle at initial ground contact, maximum angle of flexion, range of flexion, and peak knee angular velocity. Fatigue resulted in significantly greater (p < 0.05) tibial peak impact acceleration and knee flexion peak angular velocity in drop jumps from 15 and 30 cm, but not from 45 cm. Fatigue had no effect on any of the knee angles assessed. The neuromuscular system was affected negatively by endurance fatigue at 15 and 30 cm, indicating that coaches should be aware of a potential increased risk of injury in performing drop jumps when fatigued. Because from the greater drop height of 45 cm the neuromuscular system had a reduced capacity to attenuate the impact accelerations per se, whether nonfatigued or fatigued, this would suggest that this height may have been too great for the athletes examined.
LEFT VENTRICLE SEGMENTATION USING ACTIVE CONTOUR MODEL

This study is based on the tracing of the left-ventricular endocardial borders of echocardiographic images. The algorithms used for border detection are the Active Contour Models (ACM) and also the one developed in the EchoPAC software. The mentioned algorithms were applied on apical two chamber view (A2C) in endsystole and end-diastole frames. The overlapping between borders detected using both algorithms is the goal of this work. The number of iterations and their parameters of the ACM were also taken into account.
An Extended UML Metamodel for Efficient Application Design and Development

Information Systems are becoming more complex as time passes and this complexity needs to be managed. Moreover, the complete matching between applications requisites and delivered software systems is one of the most important elements in software development, since cost effectiveness, efficiency and customer satisfaction are the key of success. In order to achieve these goals, many designers and analysts are applying Model-driven Engineering and UML modelling to their projects, which is gaining an important relevance in the Information Technology environment. This article proposes an extension to the standard UML metamodel with the scope to improve the development process and to grant a high quality of the software delivered to the customers. The metamodel extension contains a collection of elements, with a proper semantic and a set of rules to link them in order to create robust and expressive models, which can be transformed almost seamlessly into code with the help of a Java framework developed in conjunction with the custom UML profile.
Content-based image retrieval by DTCWT feature

This paper presents an multiscale image retrieval algorithm which uses a new class of image features as the image descriptors, from the DTCWT(Dual-Tree complex wavelet transform). It uses DTCWT to detect keypoints, make feature vectors which are invariant to image scaling, translation and rotation as similar as SIFT(Scale Invariant Feature Transform) feature, compare the similarity of the features with Euclidean distance, compute the similarity of the images with the statistic information of matching features. We do experiments in the Corel image database and compare with the AF-SIFT(Attention model based SIFT filtration). Experiments show that our algorithm is more appropriate for image retrieval.
Low power FPGA-based implementation of decimating filters for multistandard receiver

In this work a low power solution is provided for the implementation of decimation filter for multistandard wireless receiver. The reduced switching activity and low power dissipation are achieved through the reduction of the energy wasted by the clocking of storage units on every cycle. This technique known as the "clock gating" allows enabling the clock only when a load to a register is required. This also serves to "turn off" parts of the design by holding the clock steady during inactive periods. Analysis showed that by reducing switching activity in the overall system power consumption is reduced by about 23% compared to the same architecture where no clock gating is used
An Approximate Analysis of the Non-Linear Lateral Motion of a Slender Aircraft ( HP 115 ) at Low Speeds By

An approximate analytical method is developed for the solution of a fourth order, non-linear equation of motion from which the frequency and amplitude of a sustained oscillation may be derived. The criterion for the existence of the limit cycle is a modified form of Routh's discriminant, its sign, and the sign of its derivative with respect to the square of the instantaneous amplitude. Comparisons at spot points show excellent agreement with 'exact' digital computations. The method has been applied to the lateral motion limit cycle encountered at low speeds on the HP 115 aircraft, and comparisons with the results of wind tunnel dynamic simulations show that the onset and nature of the sustained oscillation is predicted very satisfactorily.
Efficient Feedforward Categorization of Objects and Human Postures with Address-Event Image Sensors

This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event temporal-difference image sensors. The system employs an innovative combination of event-based hardware and bio-inspired software architecture. An event-based temporal difference image sensor is used to provide input video sequences, while a software module extracts size and position invariant line features inspired by models of the primate visual cortex. The detected line features are organized into vectorial segments. After feature extraction, a modified line segment Hausdorff-distance classifier combined with on-the-fly cluster-based size and position invariant categorization. The system can achieve about 90 percent average success rate in the categorization of human postures, while using only a small number of training samples. Compared to state-of-the-art bio-inspired categorization methods, the proposed algorithm requires less hardware resource, reduces the computation complexity by at least five times, and is an ideal candidate for hardware implementation with event-based circuits.
3D point cloud denoising and normal estimation for 3D surface reconstruction

Denoising numerous large scale noise and preserving fine features simultaneously remains a challenge to point-cloud-related multiple view stereo (MVS) reconstruction approaches. The proposed algorithm reuses the sparse point cloud which is often discarded after the structure form motion (SfM) procedure in image based modeling to guide the dense point cloud denoising. Furthermore, the utilization of the octree division provides an efficient and simple denoising mechanism. Experiments show that the proposed method successfully removes the large scale noise points and presents a satisfactory denoising result with detailed information preserved. In addition, the normal of each point can be estimated fast and accurately as a by-product of the denoising algorithm.
0 Charge densities above pulsar polar caps

The ability of the neutron star surface to supply all or only part of the charges filling the pulsar magnetosphere is crucial for the physics prevailing within it, with direct consequences for the possible formation of pair creation regions. We evaluate the conditions for e emission from pulsar surfaces for a simple Goldreich-Julian geometry taking both thermal and field emission processes into account. Using recently published estimates for the equation of state at the neutron star’s surface, we show, that for a large range of Tsurf , B and P , the liberated charges will fully screen the accelerating B-parallel electric field E‖. For surface temperatures Tsurf < 2 · 10K a balance between field emission of electrons and shielding of the field will occur. Even in the overidealised case of Tsurf = 0 one can expect a prodigious supply of electrons which will weaken the accelerating E‖. We calculated the motion of electrons along selected polar field lines numerically for the low temperature, field emission scenario yielding their Lorentz factors as well as the produced radiation densities. Inverse Compton and later curvature losses are seen to balance the acceleration by the residual electric fields. We found that the conditions for magnetic pair production are not met anywhere along the field lines up to a height of 1500 pulsar radii. We did not a priori assume an ”inner gap”, and our calculations did not indicate the formation of one under realistic physical conditions without the introduction of further assumptions. Subject headings: Plasmas Radiation mechanism Pulsars Max-Planck-Institut für Radioastronomie, Auf dem Hügel 69, D-53121 Bonn, Germany Universitäts-Sternwarte München, Scheinerstr.1, D-81679 München, Germany Max-Planck-Institut für extraterrestrische Physik,Giessenbachstr. , D-85740 Garching, Germany
Pluto and Charon with HST I : Monitoring Global Change and Improved Surface Properties from Lightcurves

We present new lightcurve measurements of Pluto and Charon taken with the Advanced Camera for Surveys (ACS) High Resolution Camera (HRC) on the Hubble Space Telescope (HST). The observations were collected from June 2002 to June 2003 at twelve distinct sub-earth longitudes over a range of solar phase angle 0.36-1.74 degrees – a larger range than previously measured. The new measurements of Pluto show that the lightcurve amplitude has decreased since the mutual event season in the late 1980’s. We also show that the average brightness has increased in the F555W (Johnson V equivalent) passband while the brightness has decreased in the F435W (Johnson B equivalent) passband. These data thus indicate a substantial reddening of the reflected light from Pluto. We find a weighted mean (B − V ) = 0.9540± 0.0010 that is considerably higher than the long-standing value of (B −V ) = 0.868± 0.003 most recently measured in 1992-3. We also report on the discovery of a new rotational modulation of Pluto’s hemispherical color that ranges from 0.92 to 0.98 with the least red color at the longitude of maximum light and most red at minimum light. The phase coefficient of Pluto is nearly the same as measured in 1992-3 with a value of βB = 0.0392 ± 0.0064 and βV = 0.0355 ± 0.0045 mag/degree for the F435W and F555W data respectively. The Pluto phase curve is still very close to linear but a small but significant non-linearity is seen in the data. In contrast, the lightcurve of Charon is essentially the same as in 1992/3, albeit with much less noise. We confirm that Charon’s Pluto-facing hemisphere is 8% brighter than the hemisphere facing away from Pluto. The color of Charon is independent of longitude and has a mean weighted value of (B − V ) = 0.7315 ± 0.0013. The phase curve for Charon is now shown to be strongly non-linear and wavelength dependent. We present results for both Pluto and Charon that better constrain
Spherical probes at ion saturation in E × B fields

The ion saturation current to a spherical probe in the entire range of ion magnetization is computed with SCEPTIC3D, a new three-dimensional version of the kinetic code SCEPTIC designed to study transverse plasma flows. Results are compared with prior two-dimensional calculations valid in the magnetic-free regime (Hutchinson 2002 Plasma Phys. Control. Fusion 44 1953), and with recent semi-analytic solutions to the strongly magnetized transverse Mach probe problem (Patacchini and Hutchinson 2009 Phys. Rev. E 80 036403). At intermediate magnetization (ion Larmor radius close to the probe radius) the plasma density profiles show a complex three-dimensional structure that SCEPTIC3D can fully resolve, and, contrary to intuition, the ion current peaks provided the ion temperature is low enough. Our results are conveniently condensed in a single factor Mc, function of ion temperature and magnetic field only, providing the theoretical calibration for a transverse Mach probe with four electrodes placed at 45° to the magnetic field in a plane of flow and magnetic field.