Miracle-dz/UniFAR-FTUs huggingface dataset:
A Randomized Controlled Single-Blinded Comparison of Stretching Versus Stretching and Joint Mobilization for Posterior Shoulder Tightness Measured by Internal Rotation Motion Loss

Background: Posterior shoulder tightness, as demonstrated by limited internal rotation range of motion, is a suggested factor in many shoulder pathologies. Methods to increase posterior shoulder mobility may be beneficial. Hypothesis: Shoulder internal rotation range of motion will not change with either of 2 interventions: cross-body stretch alone and cross-body stretch plus posterior capsule joint mobilization. Study Design: Randomized controlled single-blinded clinical trial. Methods: The study comprised 39 college-age asymptomatic participants (7 men, 32 women) who were randomly assigned to 1 of 2 groups: stretching only (n, 20) and stretching plus posterior joint mobilizations (n, 19). All had a between-shoulder difference of internal rotation of 10° or more. Shoulder internal and external rotation was measured before and after a 4-week intervention period and 4 weeks postintervention. Participants in the stretching-only group performed the cross-body stretch on the limited side. Those in the other group (cross-body stretch plus joint mobilization) were treated with posterior joint mobilization techniques on the limited side. Results: Overall means for internal rotation of the treated shoulders significantly increased over baseline at the end of the intervention period and at 4 weeks postintervention. External rotation in all shoulders remained unchanged. By the end of intervention, total motion increased significantly from baseline but decreased significantly from the end of intervention to 4 weeks postintervention. Although not statistically significant, the second group (cross-body stretch plus joint mobilization) had greater increases in internal rotation. At 4 weeks postintervention, the second group had maintained its internal rotation gains to a greater degree than those of the stretching-only group. Conclusion: Internal rotation increased in both groups. Inclusion of joint mobilization in a rehabilitation program created trends toward increased shoulder internal rotation mobility. Clinical Relevance: Both methods—cross-body stretch and cross-body stretch plus joint mobilization—may be beneficial for those with limited internal rotation range of motion.
Convolution pyramids

We present a novel approach for rapid numerical approximation of convolutions with filters of large support. Our approach consists of a multiscale scheme, fashioned after the wavelet transform, which computes the approximation in linear time. Given a specific large target filter to approximate, we first use numerical optimization to design a set of small kernels, which are then used to perform the analysis and synthesis steps of our multiscale transform. Once the optimization has been done, the resulting transform can be applied to any signal in linear time. We demonstrate that our method is well suited for tasks such as gradient field integration, seamless image cloning, and scattered data interpolation, outperforming existing state-of-the-art methods.
A multi-sensor multi-rate algorithm for motor rehabilitation with Augmented Reality devices

Using Augmented Reality (AR) could offer stimuli to rehabilitation from neuro-motor disorders, since the patient can be aided in a better known reality than Virtual Reality (VR). The main goal for an AR system is to achieve a good quality of tracking the real object to align with virtual contents. Often a single sensor could not provide enough information to that end due to a low updating rate; therefore joining an other high updating rate sensor could be indispensable, but how to combine data from different sensors especially when they work all at different rates? In this paper an approach based on recursive parameter estimation, focusing on multi-rate tracking in AR devices is suggested. The system of this study has a multi-sensor configuration provided by a webcam and a 3-axis MEMS inertial sensor, both working at different sample rates. Also an augmented reality application, designed for the neuro-motor rehabilitation of the upper limb, has been developed and shown.
A fair spectrum sharing framework based on topological sort and max weight for femtocells

Femto base stations will be widely deployed in 5G times for compensating poor cellular coverage for use in residential or small business environments. In this paper, we propose a spectrum sharing framework, where a cluster of femtocells are under the control of a centralized local manager. The framework assumes that each femto base station has the sniffing ability that can detect its neighbor femtocells and the controller can then have complete knowledge of local interference constraints. Unlike distributed WiFi that runs on unlicensed band, the femtocell owned by a carrier runs on licensed band and the carrier prefers a centralized system to a distributed one. Therefore, a fair spectrum sharing policy on the licensed band is more important among carriers to break the monopoly and inefficient spectrum allocation. Considering the spectrum can be spatial reused, an interference graph is adopted to avoid the interference between femtocells of all the carriers. We test the framework not only by comparing the average number of channels per user can get but also the variance to guarantee the fairness. In this framework, the scheme combining topological sort and maximum traffic load of femtocell contributes to keep a better balance on the average number of channels and variance.
An instruments-built Doppler radar for sensing vital signs

In this paper, we presented a fast solution to construct a Doppler radar system used for detecting vital signs by non-contact means. The radar system is constructed by instruments which are widely used and equipped in radio frequency and communication laboratories. Therefore, this work demonstrates the feasibility to conduct research on vital sign detection in ordinary radio frequency laboratories, while the existing vital sign detection systems must cost much effort to build. Digital IF technique is applied to help mitigate quadrature channel imbalance occurring in the quadrature radio architecture, and eliminate the complicated DC offset calibration required for arctangent demodulation. A 2.4GHz microchip patch antenna array was designed and used to carry out extensive experiments. When the transmit power is 0dBm, the detection range extends to 2.5m, with an accuracy of higher than 80%.
Biomedical Engineering Principles of Modern Cochlear Implants and Recent Surgical Innovations

This review covers the most recent clinical and surgical advances made in the development and application of cochlear implants (CIs). In recent years, dramatic progress has been made in both clinical and basic science aspect of cochlear implantation. Today's modern CI uses multi‐channel electrodes with highly miniaturized powerful digital processing chips. This review article describes the function of various components of the modern multi‐channel CIs. A selection of the most recent clinical and surgical innovations is presented. This includes the preliminary results with electro‐acoustic stimulation or hybrid devices and ongoing basic science research that is focused on the preservation of residual hearing post‐implantation. The result of an original device that uses a binaural stimulation mode with a single implanted receiver/stimulator is also presented. The benefit and surgical design of a temporalis pocket technique for the implant's receiver stimulator is discussed. Advances in biomedical engineering and surgical innovations that lead to an increasingly favorable clinical outcome and to an expansion of the indication of CI surgery are presented and discussed. Anat Rec, 2012. © 2012 Wiley Periodicals, Inc.
Spectral Algorithms for Tensor Completion

In the tensor completion problem, one seeks to estimate a low‐rank tensor based on a random sample of revealed entries. In terms of the required sample size, earlier work revealed a large gap between estimation with unbounded computational resources (using, for instance, tensor nuclear norm minimization) and polynomial‐time algorithms. Among the latter, the best statistical guarantees have been proved, for third‐order tensors, using the sixth level of the sum‐of‐squares (sos) semidefinite programming hierarchy. However, the sos approach does not scale well to large problem instances. By contrast, spectral methods—based on unfolding or matricizing the tensor—are attractive for their low complexity, but have been believed to require a much larger sample size.
The role of emotion in a housing purchase: An empirical analysis of the anatomy of satisfaction from off-plan apartment purchases in France

This paper examines empirically the role of emotion in owning a new build apartment, derived from its representation through mental imaging (‘visualization’) from marketing techniques, in influencing off-plan purchases in France, and how its effect on satisfaction evaluations of the apartment purchased affects buyer ratings of developer performance. Through structural equation modelling we show that psychological measures of perceived values influence buying decisions via satisfaction with the apartment purchased. Buyer evaluations are cognitively dominated by the assessment of utilitarian benefits, but emotion plays a significant role among homebuyers as well as investors. Our analysis also sheds light on how buyer satisfaction could potentially augment the reputation of a developer to achieve off-plan sales targets.
First Evidence of a Hybrid of Leishmania (Viannia) braziliensis/L. (V.) peruviana DNA Detected from the Phlebotomine Sand Fly Lutzomyia tejadai in Peru

The natural infection of sand flies by Leishmania was examined in the Department of Huanuco of Peru, where cutaneous leishmaniasis caused by a hybrid of Leishmania (Viannia) braziliensis/L. (V.) peruviana is endemic. A total of 2,997 female sand flies were captured by CDC light traps and Shannon traps, of which 2,931 and 66 flies were identified as Lutzomyia tejadai and Lu fischeri, respectively. Using crude DNA extracted from individual sand flies as a template, Leishmania DNA was detected from one Lu. tejadai. The parasite species was identified as a hybrid of L. (V.) braziliensis/L. (V.) peruviana on the basis of cytochrome b and mannose phosphate isomerase gene analyses. The result suggested that Lu. tejadai is responsible for the transmission of the hybrid Leishmania circulating in this area.
The Performance of Erasure Codes Used in FT-MPI

Today, the scale of High performance computing (HPC) systems is much larger than ever. Some HPC systems consist of thousands or even tens of thousands of processors. The larger scale leads to a challenge that how to deal with process failures. The most important programming tool for HPC is MPI (Message Passing Interface). There are some existing methods to deal with fault-tolerance, such as MPICH-V, StarFish, MPI/FT and so on, using the MPI context. Most of them do the checkpoint on disk. In this paper, some erasure codes, which used in RAID systems usually, are applied to deal with the fault-tolerance in-memory. Based on fault-tolerance-MPI (FT-MPI) platform, RAID4, RAID5, RDP and X-Code are implanted to do the checkpoint in-memory. The experimental results show that RDP is feasible for double-fault-tolerance in-memory.
Spatial updating in real and virtual environments: contribution and interaction of visual and vestibular cues

INTRODUCTION: When we move through the environment, the self-to-surround relations constantly change. Nevertheless, we perceive the world as stable. A process that is critical to this perceived stability is "spatial updating", which automatically updates our egocentric mental spatial representation of the surround according to our current self-motion. According to the prevailing opinion, vestibular and proprioceptive cues are absolutely required for spatial updating. Here, we challenge this notion by varying visual and vestibular contributions independently in a high-fidelity VR setup. METHODS: In a learning phase, participants learned the positions of twelve targets attached to the walls of a 5x5m room. In the testing phase, participants saw either the real room or a photo-realistic copy presented via a head-mounted display (HMD). Vestibular cues were applied using a motion platform. Participants' task was to point "as accurately and quickly as possible" to four targets announced consecutively via headphones after rotations around the vertical axis into different positions. RESULTS: Automatic spatial updating was observed whenever useful visual information was available: Paticipants had no problem mentally updating their orientation in space, irrespective of turning angle. Performance, quantified as response time, configuration error, and pointing error, was best in the real world condition. However, when the field of view was limited via cardboard blinders to match that of the HMD (40 × 30°), performance decreased and was comparable to the HMD condition. Presenting turning information only visually (through the HMD) hardly altered those results. In both the real world and HMD conditions, spatial updating was obligatory in the sense that it was significantly more difficult to ignore ego-turns (i.e., "point as if not having turned") than to update them as usual. CONCLUSION: The rapid pointing paradigm proved to be a useful tool for quantifying spatial updating. We conclude that, at least for the limited turning angles used (<60°), the Virtual Reality simulation of ego-rotation was as effective and convincing (i.e., hard to ignore) as its real world counterpart, even when only visual information was presented. This has relevant implications for the design of motion simulators for, e.g., architecture walkthroughs.
Control Variates for Probabilityand Quantile

In stochastic systems, quantiles indicate the level of system performance that can be delivered with a speciied probability, while probabilities indicate the likelihood that a speciied level of system performance can be achieved. We present new estimators for use in simulation experiments designed to estimate such quantiles or probabilities of system performance. All of the estimators exploit control variates to increase their precision, which is especially important when extreme quantiles (in the tails of the distribution of system performance) or extreme probabilities (near zero or one) are of interest. Control variates are auxiliary random variables with known properties|in this case, known quantiles|and a strong stochastic association with the performance measure of interest. Since transforming a control variate can increase its eeectiveness, we propose both continuous and discrete approximations to the optimal (variance-minimizing) transformation for estimating probabilities, and then invert the probability estimators to obtain corresponding quantile estimators. We also propose a direct control-variate quantile estimator that is not based on inverting a probability estima-tor. An empirical study using queueing, inventory and project-planning examples shows that substantial reductions in mean squared error can be obtained when estimating the 0:9; 0:95 and 0:99 quantiles.
Motorway ramp-metering control with queuing consideration using Q-learning

The standard reinforcement learning algorithms have proven to be effective tools for letting an agent learn from its experiences generated by its interaction with an environment. Among others, reinforcement learning algorithms are of interest because they require no explicit model of the environment beforehand and learning happens through trial and error. This property makes them suitable for real control problems like traffic control. Especially when considering the performance of a network where for instance a local ramp-metering controller needs to consider the performance of the network, since limitations needs to be considered, like the maximum permissible queue length, reinforcement learning algorithms are of interest. Here, a local ramp-metering control problem with queuing consideration is taken up and the performance of standard Q-learning algorithm as well as a newly proposed multi-criterion reinforcement learning algorithm is investigated. The experimental analysis confirms that the proposed multi-criterion control approach has the capability to decrease the state-space size and increase the learning speed of controller while improving the quality of solution.
Bridging Relations in Polish: Adaptation of Existing Typologies

The paper attempts at presenting initial verification of existing approaches to annotation of bridging relations by proposing a compiled model based on schemata used in previous annotation projects and testing its validity on a corpus of Polish. The categorization features structural relations, dissimilation, analogy, reference to label, class, entailment and attribution. Multiple categories can be assigned to model situations where several aspects of the relation play a part. The relations are organized hierarchically which allows varied granularity of processing depending on computational needs. The classification is confronted with existing annotation of other-than-identity relations in a portion of Polish Coreference Corpus. Results of manual annotation involving two annotators and adjudicator are presented. Findings from the process are intended to facilitate development of annotation guidelines of a new referencerelated project.
Computer Vision Analysis for Quantification of Autism Risk Behaviors

Observational behavior analysis plays a key role for the discovery and evaluation of risk markers for many neurodevelopmental disorders. Research on autism spectrum disorder (ASD) suggests that behavioral risk markers can be observed at 12 months of age or earlier, with diagnosis possible at 18 months. To date, these studies and evaluations involving observational analysis tend to rely heavily on clinical practitioners and specialists who have undergone intensive training to be able to reliably administer carefully designed behavioral-eliciting tasks, code the resulting behaviors, and interpret such behaviors. These methods are therefore extremely expensive, time-intensive, and are not easily scalable for large population or longitudinal observational analysis. We developed a self-contained, closed-loop, mobile application with movie stimuli designed to engage the child's attention and elicit specific behavioral and social responses, which are recorded with a mobile device camera and then analyzed via computer vision algorithms. Here, in addition to presenting this paradigm, we validate the system to measure engagement, name-call responses, and emotional responses of toddlers with and without ASD who were presented with the application. Additionally, we show examples of how the proposed framework can further risk marker research with fine-grained quantification of behaviors. The results suggest these objective and automatic methods can be considered to aid behavioral analysis, and can be suited for objective automatic analysis for future studies.
Impact of Academic Stress on Depression Among Nursing Students: Testing for the Moderating Effect of Social Support

This study aimed to verify the moderating effect of social support in the relationship between academic stress and depression in nursing students. Therefore, 261 nursing students were recruited from October to November 2017. The collected data were analyzed using the SPSS/WIN 22.0 program with the Johnson-Neyman method in PROCESS. The effect of academic stress on depression was not statistically significant among nursing students with high social support. It was found that high social support can alleviate the effects of academic stress on depression in nursing students. To prevent depression among nursing students, it is necessary to continuously monitor the level of social support that nursing students were received.
Discovering and visualizing narrative themes

This paper presents a framework for indexing and browsing databases of stories, in particular characterizing and visually exploring each narrative’s thematic content. We introduce a method for discovering thematic content in texts via lexical dissimilarity statistics. A maximumlikelihood algorithm clusters words into pools of similar meaning, using a thesaurus for rough estimates of word sense similarities. The highest ranked clusters indicate thematic motifs in the story. With these clusters we can form efficient representations for indexing, keyword summaries, and textual segmentation into thematically coherent sections. We demonstrate this representation in a system that generates interactive 3D visualizationsof stories and their thematic structures.
ssessing possible consequences of ocean liming on ocean pH , tmospheric CO 2 concentration and associated costs ranç ois

More than 380 Pg of carbon have been released by human activities from fossil fuel combustion and cement manufacturing since the beginning of the Industrial Revolution. This carbon release has caused atmospheric CO2 levels to increase by ∼100 ppmv compared to the highest interglacial value of the last ∼800,000 years. Net uptake of carbon by the oceans has caused the surface ocean pH to drop by ∼0.1 pH units. Evaluating carbon sequestration options is now timely. We use the carbon-cycle model LOSCAR to evaluate the effects of artificially enhancing ocean alkalinity from year 2020 to year 2400 on ocean pH and atmospheric pCO2. Ten different carbon emission scenarios with scaled alkalinity input are simulated. Results show that for ocean pH to be maintained above 8.0, on the order of 2–10 × 1014 moles of alkalinity/year for C emissions of 1500–5000 Pg C, respectively, is required. Atmospheric pCO2 remains high (500–600 ppmv) in nine of the carbon emission scenarios. Ocean alkalization, if ever implemented at such a large scale, could allow ocean pH to be stabilized but pCO2 would not return to pre-industrial levels. Cost estimates of the ocean alkalization operation, using quicklime (CaO) was estimated to range from 0.5 to 2.8 $US trillion/year, depending on the target pH selected to avoid damage to marine organisms and ecosystems. For comparison, this cost is ∼0.8% and ∼4.6% of the 2011 global Gross Domestic Product for total anthropogenic carbon emissions of 1500 and 5000 Pg C, respectively. The cost of 1 ton of CO2 sequestered ranges from 103 to 144 $US for total emissions of 1500–5000 Pg C, respectively. Producing large amounts of quicklime (without carbon capture and storage) would cause substantial additional CO2 release. This reduces the fossil fuel emissions allowed to maintain pH above 8.0 by a factor of 1.3–2.5 (for total emissions of 1000 and 5000 Pg C, respectively).