Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of cardiologists with hospitals: Effects on physician compensation and productivity.

BACKGROUND Hospital-physician vertical integration involving employment of physicians has increased considerably over the last decade. Cardiologists are one group of specialists being increasingly employed by hospitals. Although hospital-physician integration has the potential to produce economic and societal benefits, there is concern that this consolidation may reduce competition and concentrate bargaining power among providers. In addition, hospitals may be motivated to offer cardiologists higher compensation and reduced workloads as an incentive to integrate. PURPOSE The aim of the study was to determine if there are differences in compensation and clinical productivity, measured by work relative value units (RVUs), for cardiologists as they transition from being independent practitioners to being employed by hospitals. METHODOLOGY/APPROACH This study was a quantitative, retrospective, longitudinal analysis, comparing the compensation and work RVUs of integrated cardiologists to their compensation and work RVUs as independent cardiologists. Data from the MedAxiom Annual Survey from 2010 to 2014 were used. Participants included 4,830 unique cardiologists that provided 13,642 pooled physician-year observations, with ownership status, compensation, work (RVUs), and other characteristics as variables for analysis. RESULTS Results from the multivariate regressions indicate that average compensation for cardiologists increases by $129,263.1 (p < .001) when they move from independent to integrated practice. At the same time, physician work RVUs decline by 398.04 (p = .01). CONCLUSION Our findings support the conjecture that hospitals may be offering higher pay and lower workloads to incentivize cardiologists to integrate. PRACTICE IMPLICATIONS Although hospitals may have goals of quality improvement and lower costs, such goals may presently be secondary to service line growth and increased market power. There is reason to be cautious about some of the implications of hospital integration of cardiologists.
On the Benefits of Network-Level Cooperation in Millimeter-Wave Communications

Relaying techniques for millimeter-wave wireless networks represent a powerful solution for improving the transmission performance. In this paper, we quantify the benefits in terms of delay and throughput for a random-access multi-user millimeter-wave wireless network, assisted by a full-duplex network cooperative relay. The relay is equipped with a queue for which we analyze the performance characteristics (e.g., arrival rate, service rate, average size, and stability condition). Moreover, we study two possible transmission schemes: fully directional and broadcast. In the former, the source nodes transmit a packet either to the relay or to the destination by using narrow beams, whereas, in the latter, the nodes transmit both the destination and the relay in the same timeslot by using a wider beam but with lower beamforming gain. In our analysis, we also consider the beam alignment phase that occurs every time, a transmitter node changes the destination node. We show the duration of how the beam is aligned, as well as position and a number of transmitting nodes, significantly affect the network performance. In addition, we discuss the impact of beam alignment errors and imperfect self-interference cancellation technique at the relay for full-duplex communications. Moreover, we illustrate the optimal transmission scheme (i.e., broadcast or fully directional) for several system parameters and show that a fully directional transmission is not always beneficial, but in some scenarios, broadcasting and relaying can improve the performance in terms of throughput and delay.
Engineering Software Diversity: a Model-Based Approach to Systematically Diversify Communications

Automated diversity is a promising mean of increasing the security of software systems. However, current automated diversity techniques operate at the bottom of the software stack (operating system and compiler), yielding a limited amount of diversity. We present a novel Model-Driven Engineering approach to the diversification of communicating systems, building on abstraction, model transformations and code generation. This approach generates significant amounts of diversity with a low overhead, and addresses a large number of communicating systems, including small communicating devices.
Longer storage of red blood cells does not affect mortality in transfused liver transplant recipients

The characteristics of red blood cell (RBC) products change after 2 weeks of cold storage. It is unclear whether older RBCs affect mortality after liver transplantation. This retrospective cohort study aimed to evaluate the association between the age of transfused RBCs and death after living donor liver transplantation (LDLT).
Dynamic Navigation for Surgical Implant Placement: Overview of Technology, Key Concepts, and a Case ReportDynamic Navigation for Surgical Implant Placement: Overview of Technology, Key Concepts, and a Case Report.

Over the course of several decades implant dentistry has evolved to include 3-dimensionally (3D) planned and guided surgery. One of the latest innovations is dynamic navigation, which may allow surgeons to place implants with accuracy similar to stereolithographic guides based on 3D, prosthetically directed plans. Benefits of dynamically guided surgery include real-time feedback, a streamlined digital workflow, improved surgical visualization, and adaptability to intraoperative findings. This article discusses the technology and workflow of dynamic navigation and its application for guided implant placement. Additionally, a case completed using this technology is presented.
Video Gaming for the Vision Impaired

Mainstream video games are predominantly inaccessible to people with visual impairments (VIPs). We present ongoing research that aims to make such games go beyond accessibility, by making them engaging and enjoyable for visually impaired players. We have built a new interaction toolkit called the Responsive Spatial Audio Cloud (ReSAC), developed around spatial audio technology, to enable visually impaired players to play video games. VIPs successfully finished a simple video game integrated with ReSAC and reported enjoying the experience.
Autonomous Optical Inspection of Large Scale Freeform Surfaces

Here we present our findings on a novel real-time vision system that allows for automatic detection of failure conditions that are considered outside of nominal operation. These failure modes include warping, build plate delamination and extrusion failure. Our system consists of a calibrated camera whose position and orientation is known in the machine coordinate system. We simulate what the object under print should look like for any given moment in time. This is compared to a segmentation of the current print, and statistical detection of significant deviation. We demonstrate that this methodology precisely and unambiguously detects the time point of print failure. Failure detection, computer vision, fused deposition modeling (FDM)
SFV

Data-driven character animation based on motion capture can produce highly naturalistic behaviors and, when combined with physics simulation, can provide for natural procedural responses to physical perturbations, environmental changes, and morphological discrepancies. Motion capture remains the most popular source of motion data, but collecting mocap data typically requires heavily instrumented environments and actors. In this paper, we propose a method that enables physically simulated characters to learn skills from videos (SFV). Our approach, based on deep pose estimation and deep reinforcement learning, allows data-driven animation to leverage the abundance of publicly available video clips from the web, such as those from YouTube. This has the potential to enable fast and easy design of character controllers simply by querying for video recordings of the desired behavior. The resulting controllers are robust to perturbations, can be adapted to new settings, can perform basic object interactions, and can be retargeted to new morphologies via reinforcement learning. We further demonstrate that our method can predict potential human motions from still images, by forward simulation of learned controllers initialized from the observed pose. Our framework is able to learn a broad range of dynamic skills, including locomotion, acrobatics, and martial arts. (Video1)
High five-year mortality rates of ischemic stroke subtypes: A prospective cohort study in Brazil

Background Studies regarding long-term outcomes of ischemic stroke subtypes are scarce in low- and middle-income countries. We aimed to measure the five-year prognosis of ischemic stroke subtypes in Joinville, Brazil. Methods All first-ever ischemic strokes that occurred in Joinville in 2010 were followed-up for five years. Results We included 334 ischemic stroke patients. Over five years, 156 died, 51 had a recurrent stroke, and 128 were free of recurrent stroke. The overall cumulative risk of death was 17% (95% CI, 13% to 22%) at 30 days and 47% (95% CI, 41% to 52%) after five years. Undetermined with incomplete investigation ischemic stroke had a significantly worse survival probability (β −4.91; 95% CI, −6.31 to −3.50; p < 0.001), followed by cardioembolic ischemic stroke (β −3.07; 95% CI, −4.32 to −1.83; p < 0.001) and large artery disease ischemic stroke (β −1.95; 95% CI, −3.30 to −0.60; p = 0.005). The survival probability of undetermined with negative investigation or cryptogenic ischemic stroke did not differ significantly from small artery disease ischemic stroke (β −1.022; 95% CI, −3.37 to −1.43; p = 0.414). The five-year mortality for small artery disease ischemic stroke was 30% (95% CI, 22% to 39%) and 47% (95% CI, 35% to 60%) for large artery ischemic stroke. The risk of stroke recurrence was 2% in the first year and 5% in the second year. The proportion of disability among survivors in the first month ranged from 8% (95% CI, 3–15) for small artery disease ischemic stroke to 40% (95% CI, 30–52) for cardioembolic ischemic stroke patients. Conclusions Cardioembolic and undetermined with incomplete investigation ischemic stroke sub-types have a poor long-term prognosis. An alarming finding was that our patients with both small and large artery ischemic stroke had higher five-year mortality rates compared with subjects from high-income countries.
Science and Comparative Philosophy: Introducing Yuasa Yasuo

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A New Method for the Semantic Integration of Multiple OWL Ontologies using Alignments

This work is done as part of a master's thesis project. The goal is to integrate two or more ontologies (of the same or close domains) in a new consistent and coherent OWL ontology to insure semantic interoperability between them. To do this, we have chosen to create a bridge ontology that includes all source ontologies and their bridging axioms in a customized way. In addition, we introduced a new criterion for obtaining an ontology of better quality (having the minimum of semantic/logical conflicts). We have also proposed new terminology and definitions that clarify the unclear and misplaced "integration" and "merging" notions that are randomly used in state-of-the-art works. Finally, we tested and evaluated our OIA2R tool using ontologies and reference alignments of the OAEI campaign. It turned out that it is generic, efficient and powerful enough.
Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study

The special design of the Long Life Family Study provides a unique opportunity to investigate the genetics of human longevity by analyzing data on exceptional lifespans in families. In this article, we performed two series of genome wide association studies of human longevity which differed with respect to whether missing lifespan data were predicted or not predicted. We showed that the use of predicted lifespan is most beneficial when the follow-up period is relatively short. In addition to detection of strong associations of SNPs in APOE, TOMM40, NECTIN2, and APOC1 genes with longevity, we also detected a strong new association with longevity of rs1927465, located between the CYP26A1 and MYOF genes on chromosome 10. The association was confirmed using data from the Health and Retirement Study. We discuss the biological relevance of the detected SNPs to human longevity.
Improving the Academic Inclusion of a Student with Special Needs at University Bordeaux

Recently, there has been a sharp increase in the number of students with disabilities (SWDs) enrolled in universities. Unfortunately SWDs still struggle to attain the same level of education as non-disabled students. This paper presents a collaborative approach between members of the student support service, researchers and a special needs student in order to improve his access to and participation in university education. We performed a person-technology match and analyzed different existing technologies. Then, we designed and printed a keyguard, keyboard stand and mobile armrest which allowed him to almost double his text entry speed on a computer. We hope that our experience will inspire other universities to better address the needs of students with disabilities.
Zero-calibration cVEP BCI using word prediction: a proof of concept

Brain Computer Interfaces (BCIs) based on visual evoked potentials (VEP) allow for spelling from a keyboard of flashing characters. Among VEP BCIs, code-modulated visual evoked potentials (c-VEPs) are designed for high-speed communication . In c-VEPs, all characters flash simultaneously. In particular, each character flashes according to a predefined 63-bit binary sequence (m-sequence), circular-shifted by a different time lag. For a given character, the m-sequence evokes a VEP in the electroencephalogram (EEG) of the subject, which can be used as a template. This template is obtained during a calibration phase at the beginning of each session. Then, the system outputs the desired character after a predefined number of repetitions by estimating its time lag with respect to the template. Our work avoids the calibration phase, by extracting from the VEP relative lags between successive characters, and predicting the full word using a dictionary.
Efficient Similarity Based Methods For The Playlist Continuation Task

In this paper, the pipeline we used in the RecSys challenge 2018 is reported. We present content-based and collaborative filtering approaches for the definition of the similarity matrices for top-500 recommendation task. In particular, the task consisted in recommending songs to add to partial playlists. Different methods have been proposed depending on the number of available songs in a playlist. We show how an hybrid approach which exploits both content-based and collaborative filtering is effective in this task. Specifically, information derived by the playlist titles helped to tackle the cold-start issue.
A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing

This work introduces an innovative parallel fully‐distributed finite element framework for growing geometries and its application to metal additive manufacturing. It is well known that virtual part design and qualification in additive manufacturing requires highly accurate multiscale and multiphysics analyses. Only high performance computing tools are able to handle such complexity in time frames compatible with time‐to‐market. However, efficiency, without loss of accuracy, has rarely held the centre stage in the numerical community. Here, in contrast, the framework is designed to adequately exploit the resources of high‐end distributed‐memory machines. It is grounded on three building blocks: (1) hierarchical adaptive mesh refinement with octree‐based meshes; (2) a parallel strategy to model the growth of the geometry; and (3) state‐of‐the‐art parallel iterative linear solvers. Computational experiments consider the heat transfer analysis at the part scale of the printing process by powder‐bed technologies. After verification against a three‐dimensional (3D) benchmark, a strong‐scaling analysis assesses performance and identifies major sources of parallel overhead. A third numerical example examines the efficiency and robustness of (2) in a curved 3D shape. Unprecedented parallelism and scalability were achieved in this work. Hence, this framework contributes to take on higher complexity and/or accuracy, not only of part‐scale simulations of metal or polymer additive manufacturing but also in welding, sedimentation, atherosclerosis, or any other physical problem where the physical domain of interest grows in time.
CrawlDroid: Effective Model-based GUI Testing of Android Apps

This paper presents an effective model-based GUI testing technique for Android apps. To avoid local and repetitive exploration, our approach groups equivalent widgets in a state and designs a novel feedback-based exploration strategy, which dynamically adjusts the priority of actions based on the execution result of those already triggered ones, and tends to select actions that can reach news states of apps. We implemented our technique in a tool, called CrawlDroid, and conducted empirical experiments. Our results show that the proposed technique is effective, and covers more code within a fixed testing budget.
Bounded Collision Force by the Sobolev Norm

A robot making contact with an environment or human presents potential safety risks, including excessive collision force. While experiments on the effect of robot inertia, relative velocity, and interface stiffness on collision are in literature, analytical models for maximum collision force are limited to a simplified mass-spring robot model. This simplified model limits the analysis of control (force/torque, impedance, or admittance) or compliant robots (joint and end-effector compliance). Here, the Sobolev norm is adapted to be a system norm, giving rigorous bounds on the maximum force on a stiffness element in a general dynamic system, allowing the study of collision with more accurate models and feedback control. The Sobolev norm can be found through the $\mathcal{H}_{2}$ norm of a transformed system, allowing efficient computation, connection with existing control theory, and controller synthesis to minimize collision force. The Sobolev norm is validated, first experimentally with an admittance-controlled robot, then in simulation with a linear flexible-joint robot. It is then used to investigate the impact of control, joint flexibility and end-effector compliance on collision, and a trade-off between collision performance and environmental estimation uncertainty is shown.
D-Tagger: A Tag Recommendation Approach for Docker Repositories

Docker repositories usually contain Docker images and Dockerfiles, where Docker images are a kind of off-the-shelf artifact and Dockerfiles specify how to automatically build Docker images following the notion of Infrastructure-as-Code. Given a huge number of Docker repositories, tag recommendation is essential to ensure that relevant ones can be easily retrieved, because tagging is practical in describing, bookmarking, navigating and searching software objects. However, in Docker Hub, tags are not well supported to semantically describing the repositories, and manually tagging is still an exhausting and time-consuming task. Dockerfile specifies Docker repository in a rigorous and compact way. Thus, based on Dockerfile analysis, this paper proposes D-Tagger, a tag recommendation approach to addressing the problem of multi-labeling Docker repositories. When taking Dockerfile as specific description, D-Tagger models a repository with its labeled tags and the terms extracted from its Dockerfile, and employs Labeled Latent Dirichlet Allocation algorithm to make tag recommendation. When regarding Dockerfile as configuration code, D-Tagger constructs a feature model based on key instructions that identify the Dockerfile, and then recommends tags with a similarity-based ranking method. D-Tagger finally makes a combination by considering both of the two perspectives. We evaluate D-Tagger on over 100,000 repositories of Docker Hub (accessed until Aug. 15, 2017). The experimental results show that the accuracy of D-Tagger, in terms of Recall@5 and Recall@10, achieve 0.675 and 0.712 respectively. In addition, D-Tagger outperforms the state-of-the-art approach when tagging repositories without description documents.
Protective immunity in recurrent Staphylococcus aureus infection reflects localized immune signatures and macrophage-conferred memory

Significance Staphylococcus aureus (SA) is the leading cause of skin and skin structure infections (SSSI), which are the main portal of entry for life-threatening invasive infections. Treatment failures are increasingly common due to antibiotic resistance. Importantly, SA SSSI exhibit high 1-year recurrence, despite high antibody levels against staphylococcal antigens. Therefore, critical determinants of immune protection against recurrent SA SSSI are not well understood. The present study offers important insights in this area, including: (i) macrophages can confer protective memory transferrable to naïve hosts; (ii) SA SSSI can induce memory in bone marrow myeloid precursors; and (iii) specific memory against recurring SA SSSI is localized and distinct from disseminated infection. These findings will accelerate novel strategies to prevent and treat SA infections. Staphylococcus aureus is the leading cause of skin and skin structure infection (SSSI), a primary portal of entry for invasive infection. Our prior studies discovered a role for protective innate memory against recurrent methicillin-resistant S. aureus (MRSA) SSSI. In the present study, the dynamics and mechanisms of this response were explored in recurrent SSSI in WT mice. Priming by prior infection reduced skin lesion severity and MRSA burden, and protected against dissemination at day 7 but not day 2. Cytokine and cellular signatures in SSSI differed at day 2 versus 7, and were distinct in skin versus blood or spleen. Cytokines associated with protection in skin included increased IL-17, IL-6, monokine inducible by IFN-γ (MIG), and RANTES, while increased IP-10 correlated with protection from dissemination. Cellular signatures of protection included increased Th17, M1 macrophage, and dendritic cell populations in abscesses, and total macrophages in lymph nodes. Priming potentiated S. aureus-specific phagocytic killing by bone marrow-derived macrophages in vitro, and their adoptive transfer into naïve skin afforded protective efficacy in vivo. Present findings indicate that protective immunity in recurrent S. aureus infection is locally targeted, and involves specific memory conferred by macrophages. These insights provide targets for vaccine and immunotherapeutic development against MRSA.