nils-herrmann/clean_scirepeval huggingface dataset:
Improving injection accuracy of the elbow, knee, and shoulder: does injection site and imaging make a difference? A systematic review.

Joint injections and aspirations are used to reduce joint pain and decrease inflammation. The efficacy of these injections is diminished when they are placed inadvertently in the wrong location or compartment. The purpose of this study was to determine whether the use of varying sites or imaging techniques affects the rate of accurate needle placement in aspiration and injection in the shoulder, elbow, and knee.


HYPOTHESES
(1) Accuracy rates of different joint injection sites will demonstrate variability. (2) Injection accuracy rates will be improved when performed with concomitant imaging.



Systematic review of the literature.



Studies reporting injection accuracy based on image verification were identified through a systematic search of the English literature. Accuracy rates were compared for currently accepted injection sites in the shoulder, elbow, and knee. In addition, accuracy rates with and without imaging of these joints were compared.



In the glenohumeral joint, there is a statistically higher accuracy rate with the posterior approach when compared with the anterior approach (85% vs 45%). Injection site selection did not affect accuracy for the subacromial space, acromioclavicular joint, elbow, or knee. The use of imaging improved injection accuracy in the glenohumeral joint (95% vs 79%), subacromial space (100% vs 63%), acromioclavicular joint (100% vs 45%), and knee (99% vs 79%).



Injection accuracy rates are significantly higher for the posterior approach compared with the anterior approach for the glenohumeral joint. Similarly, the accuracy rates are also higher when imaging is used in conjunction with injection of the glenohumeral joint, subacromial space, acromioclavicular joint, and knee.
An Update on Autoinflammatory Diseases

Autoinflammatory diseases area group of clinical conditions other than autoimmune diseases, characterized by recurrent inflammatory episodes. From apathogenetic point of view they are determined by a dys regulation of innate immunity, without involvement of specific immunity (auto reactive T cells and auto antibodies). Recently, the increased knowledge in the field of auto inflammation highlighted shared immune mechanisms in the pathogenesis of both classical monogenetic and multifactorial auto inflammatory diseases and a broad spectrum of chronic age-related inflammatory pathologies. The current increase in the prevalence of chronic inflammatory diseases makes this subject of topical interest. In the light of these considerations, we propose an update of auto inflammatory diseases and a new interpretation of auto inflammation with both theoretical and clinical implications.
Why Is an Event Affective? Classifying Affective Events Based on Human Needs

Affective events are events that impact people in positive or negative ways. When people discuss an event, people understand not only the affective polarity but also the reason for the event being positive or negative. In this paper, we aim to categorize affective events based on the reasons why events are affective. We propose that an event is affective to people often because the event describes or indicates the satisfaction or violation of certain kind of human needs. For example, the event “I broke my leg” affects people negatively because the need to be physically healthy is violated. “I play computer games” has a positive affect on people because the need to have fun is probably satisfied. To categorize affective events in narrative human language, we define seven common human need categories and introduce a new data set of randomly sampled affective events with manual human need annotations. In addition, we explored two types of methods: a LIWC lexicon based method and supervised classifiers to automatically categorize affective event expressions with respect to human needs. Experiments show that these methods achieved moderate performance on this task.
Unsuccessful Self-Enucleation in a Schizophrenic Patient

Self-enucleation is a very unusual form of self-mutilation directly linked to mental illness. In this case we present a 26-year-old schizophrenic patient who attempted to enucleate his eye with a rollerball pen. Antipsychotic therapy and emergency surgery saved the patient eye and emphasize the importance of quick response and good collaboration between psychiatric and ophthalmic teams.
Are topical fl uorides effective for treating incipient carious lesions ? A systematic review and meta-analysis

This systematic review and meta-analysis Tathiane Larissa Lenzi, MSc, PhD; Anelise Fernandes Montagner, MSc, PhD; Fabio Zovico Maxnuck Soares, PhD; Rachel de Oliveira Rocha, MSc, PhD evaluated the effectiveness of professional topical fluoride application (gels or varnishes) on the reversal treatment of incipient enamel carious lesions in primary or permanent
Reliability of E/D PHEMT process for control circuit applications

WA-COM has developed an E/D pHEMT process for use in control circuit applications. By adding an E-mode FET to our existing D-mode pHEMT switch process, we are able to integrate logic circuits onto the same die as the RF portion of complex control products (multi-throw switches, multi bit attenuators, etc.). While this capability is not uncommon in the GaAs community, it is new for our fab, and provided new challenges both in processing and in reliability testing. We conducted many tests that focused on the reliability characteristics of this new Emode FET; in the meanwhile, we also needed to assure no degradation of the already qualified D-mode FET. While our initial test suggested low mean-time-tofailure (MTTF) for E-mode devices, recent reliability results have been much better, exceeding our minimum MTTF requirement of 106 hours at channel temperature TCH= 125 °C. Our analysis also shows that devices from this process have high activation energy (Ea 1.6 eV).
Generalized Continuous Time Bayesian Networks and their GSPN Semantics

We present an extension to Continuous Time Bayesian Networks (CTBN) called Generalized CTBN (GCTBN). The formalism allows one to model continuous time delayed variables (with exponentially distributed transition rates), as well as non delayed or “immediate” variables, which act as standard chance nodes in a Bayesian Network. The usefulness of this kind of model is discussed through an example concerning the reliability of a simple component-based system. The interpretation of GCTBN is proposed in terms of Generalized Stochastic Petri Nets (GSPN); the purpose is twofold: to provide a well-defined semantics for GCTBNin terms of the underlying stochastic process, and to provide an actual mean to perform inference (both prediction and smoothing) on GCTBN.
Uncertainty Analysis of Dipole Antenna Calibration Above a Ground Plane

A thorough analysis of the uncertainty for dipole antenna calibration is presented. The primary standard of the antenna factor (AF) is obtained by the three-antenna method (TAM), and an ordinary calibration service is performed using the reference-antenna method (RAM). As the AF of the standard antenna is necessary for the RAM, the uncertainty analysis of TAM with the specified antenna setting is presented first, followed by the analysis of RAM. The Guide to the Expression of Uncertainty in Measurement (GUM) shows how to analyze and express the measurement uncertainties. According to the GUM, the uncertainty analysis of the calibration procedure is formulated by expressing AF as a function of other quantities, and every source of uncertainty that affects the result of the measurement is evaluated. An example of the uncertainty budget at 400 MHz is shown, and uncertainties at 24 frequencies in the range of 30 to 1000 MHz for TAM and RAM are summarized. To validate the uncertainty analyses, the differences between the calibrated and calculated AFs are shown to be smaller than the expanded uncertainties with the coverage factor of 2(k=2)
Exposure limits: the underestimation of absorbed cell phone radiation, especially in children.

The existing cell phone certification process uses a plastic model of the head called the Specific Anthropomorphic Mannequin (SAM), representing the top 10% of U.S. military recruits in 1989 and greatly underestimating the Specific Absorption Rate (SAR) for typical mobile phone users, especially children. A superior computer simulation certification process has been approved by the Federal Communications Commission (FCC) but is not employed to certify cell phones. In the United States, the FCC determines maximum allowed exposures. Many countries, especially European Union members, use the "guidelines" of International Commission on Non-Ionizing Radiation Protection (ICNIRP), a non governmental agency. Radiofrequency (RF) exposure to a head smaller than SAM will absorb a relatively higher SAR. Also, SAM uses a fluid having the average electrical properties of the head that cannot indicate differential absorption of specific brain tissue, nor absorption in children or smaller adults. The SAR for a 10-year old is up to 153% higher than the SAR for the SAM model. When electrical properties are considered, a child's head's absorption can be over two times greater, and absorption of the skull's bone marrow can be ten times greater than adults. Therefore, a new certification process is needed that incorporates different modes of use, head sizes, and tissue properties. Anatomically based models should be employed in revising safety standards for these ubiquitous modern devices and standards should be set by accountable, independent groups.
A modified electronic load based on cascode linear MOSFET configuration

Although switched-mode Electronic Loads (E-Loads) are commonly used in different applications, they are facing particular limitations especially for higher frequency purposes. While increasing the switching frequency in switched-mode E-Loads enables them to operate at high frequencies, simply rising the switching frequency might not be an efficient approach in terms of design issues, device limitations, electromagnetic noise problems and also complicated gate drive designs. To deal with these obstacles, a novel electronic load based on analog techniques is proposed in this paper. First of all, different parts of the proposed design are introduced in detail. Then, LTspice as a powerful software in analog circuits modeling is employed to simulate the suggested circuit. Analysis and assessment of simulation results present the effectiveness of the proposed E-Load. In the last step, to validate this concept, an experimental set-up is implemented and the results are shown.
Inferencing based on unsupervised learning of disentangled representations

Combining Generative Adversarial Networks (GANs) with encoders that learn to encode data points has shown promising results in learning data representations in an unsupervised way. We propose a framework that combines an encoder and a generator to learn disentangled representations which encode meaningful information about the data distribution without the need for any labels. While current approaches focus mostly on the generative aspects of GANs, our framework can be used to perform inference on both real and generated data points. Experiments on several data sets show that the encoder learns interpretable, disentangled representations which encode descriptive properties and can be used to sample images that exhibit specific characteristics.
Bandwidth enhancement of substrate integrated waveguide cavity backed slot antenna by offset feeding technique

In this paper, a novel technique to enhance the bandwidth of substrate integrated waveguide cavity backed slot antenna is demonstrated. The feeding technique to the cavity backed antenna has been modified by introducing offset feeding of microstrip line along with microstrip to grounded coplanar waveguide transition which helps to excite TE120 mode in the cavity and also to get improvement in impedance matching to the slot antenna simultaneously. The proposed antenna is designed to resonate in X band (8-12 GHz) and shows a resonance at 10.2 GHz with a bandwidth of 4.2% and a gain of 5.6 dBi, 15.6 dB front to back ratio and -30 dB maximum cross polarization level.
Anti-Inflammatory and Immunosuppressive Effects of the A2A Adenosine Receptor

The production of adenosine represents a critical endogenous mechanism for regulating immune and inflammatory responses during conditions of stress, injury, or infection. Adenosine exerts predominantly protective effects through activation of four 7-transmembrane receptor subtypes termed A1, A2A, A2B, and A3, of which the A2A adenosine receptor (A2AAR) is recognised as a major mediator of anti-inflammatory responses. The A2AAR is widely expressed on cells of the immune system and numerous in vitro studies have identified its role in suppressing key stages of the inflammatory process, including leukocyte recruitment, phagocytosis, cytokine production, and immune cell proliferation. The majority of actions produced by A2AAR activation appear to be mediated by cAMP, but downstream events have not yet been well characterised. In this article, we review the current evidence for the anti-inflammatory effects of the A2AAR in different cell types and discuss possible molecular mechanisms mediating these effects, including the potential for generalised suppression of inflammatory gene expression through inhibition of the NF-kB and JAK/STAT proinflammatory signalling pathways. We also evaluate findings from in vivo studies investigating the role of the A2AAR in different tissues in animal models of inflammatory disease and briefly discuss the potential for development of selective A2AAR agonists for use in the clinic to treat specific inflammatory conditions.
Emotional intelligence : A meta-analytic investigation of predictive validity and nomological net

This study used meta-analytic techniques to examine the relationship between emotional intelligence (EI) and performance outcomes. A total of 69 independent studies were located that reported correlations between EI and performance or other variables such as general mental ability (GMA) and the Big Five factors of personality. Results indicated that, across criteria, EI had an operational validity of .23 (k 1⁄4 59, N 1⁄4 9522). Various moderating influences such as the EI measure used, dimensions of EI, scoring method and criterion were evaluated. EI correlated .22 with general mental ability (k 1⁄4 19, N 1⁄4 4158) and .23 (Agreeableness and Openness to Experience; k 1⁄4 14, N 1⁄4 3306) to .34 (Extraversion; k 1⁄4 19, N 1⁄4 3718) with the Big Five factors of personality. Results of various subgroup analyses are presented and implications and future directions are provided.
Social media and disasters: a functional framework for social media use in disaster planning, response, and research.

A comprehensive review of online, official, and scientific literature was carried out in 2012-13 to develop a framework of disaster social media. This framework can be used to facilitate the creation of disaster social media tools, the formulation of disaster social media implementation processes, and the scientific study of disaster social media effects. Disaster social media users in the framework include communities, government, individuals, organisations, and media outlets. Fifteen distinct disaster social media uses were identified, ranging from preparing and receiving disaster preparedness information and warnings and signalling and detecting disasters prior to an event to (re)connecting community members following a disaster. The framework illustrates that a variety of entities may utilise and produce disaster social media content. Consequently, disaster social media use can be conceptualised as occurring at a number of levels, even within the same disaster. Suggestions are provided on how the proposed framework can inform future disaster social media development and research.
Higher Jumping of a Biped Musculoskeletal Robot with Foot Windlass Mechanism

The complex of human foot plays an important role in the locomotion. Properly replicating the human foot characteristics on the humanoid robot foot design is supposed to improve the robot locomotion performance. In this research, we proposed three kinds of foot design, stiff foot, the windlass mechanism foot (with stiff plantar fascia) and the windlass mechanism foot (with elastic plantar fascia). Using a musculoskeletal biped robot and via a large set of dropping jump experiments, we confirmed that (1) the robot could achieve toe-off motion in the lifting off phase of jumping and (2) the windlass mechanism could increase the jumping height. This investigation on robot foot is expected to both improve the humanoid robot jumping performance and help us understanding how human achieve high performance locomotion.
Coordination of Multiagents Interacting Under Independent Position and Velocity Topologies

We consider the coordination control for multiagent systems in a very general framework where the position and velocity interactions among agents are modeled by independent graphs. Different algorithms are proposed and analyzed for different settings, including the case without leaders and the case with a virtual leader under fixed position and velocity interaction topologies, as well as the case with a group velocity reference signal under switching velocity interaction. It is finally shown that the proposed algorithms are feasible in achieving the desired coordination behavior provided the interaction topologies satisfy the weakest possible connectivity conditions. Such conditions relate only to the structure of the interactions among agents while irrelevant to their magnitudes and thus are easy to verify. Rigorous convergence analysis is preformed based on a combined use of tools from algebraic graph theory, matrix analysis as well as the Lyapunov stability theory.
Routing betweenness centrality

Betweenness-Centrality measure is often used in social and computer communication networks to estimate the potential monitoring and control capabilities a vertex may have on data flowing in the network. In this article, we define the Routing Betweenness Centrality (RBC) measure that generalizes previously well known Betweenness measures such as the Shortest Path Betweenness, Flow Betweenness, and Traffic Load Centrality by considering network flows created by arbitrary loop-free routing strategies.
 We present algorithms for computing RBC of all the individual vertices in the network and algorithms for computing the RBC of a given group of vertices, where the RBC of a group of vertices represents their potential to collaboratively monitor and control data flows in the network. Two types of collaborations are considered: (i) conjunctive—the group is a sequences of vertices controlling traffic where all members of the sequence process the traffic in the order defined by the sequence and (ii) disjunctive—the group is a set of vertices controlling traffic where at least one member of the set processes the traffic. The algorithms presented in this paper also take into consideration different sampling rates of network monitors, accommodate arbitrary communication patterns between the vertices (traffic matrices), and can be applied to groups consisting of vertices and/or edges.
 For the cases of routing strategies that depend on both the source and the target of the message, we present algorithms with time complexity of O(n2m) where n is the number of vertices in the network and m is the number of edges in the routing tree (or the routing directed acyclic graph (DAG) for the cases of multi-path routing strategies). The time complexity can be reduced by an order of n if we assume that the routing decisions depend solely on the target of the messages.
 Finally, we show that a preprocessing of O(n2m) time, supports computations of RBC of sequences in O(kn) time and computations of RBC of sets in ) time, where k in the number of vertices in the sequence or the set.
Orienting attention in time: behavioural and neuroanatomical distinction between exogenous and endogenous shifts

Temporal orienting of attention is the ability to focus resources at a particular moment in time in order to optimise behaviour, and is associated with activation of left parietal and premotor cortex [Coull, J. T., Nobre, A. C. Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI. ]. In the present experiment, we explored the behavioural and anatomical correlates of temporal orienting to foveal visual stimuli, in order to eliminate any spatial attention confounds. We implemented a two-way factorial design in an event-related fMRI study to examine the factors of trial validity (predictability of target by cue), length of delay (cue-target interval), and their interaction. There were two distinct types of invalid trial: those where attention was automatically drawn to a premature target and those where attention was voluntarily shifted to a delayed time-point. Reaction times for valid trials were shorter than those for invalid trials, demonstrating appropriate allocation of attention to temporal cues. All trial-types activated a shared system, including frontoparietal areas bilaterally, showing that this network is consistently associated with attentional orienting and is not specific to spatial tasks. Distinct brain areas were sensitive to cue-target delays and to trial validity. Long cue-target intervals activated areas involved in motor preparation: supplementary motor cortex, basal ganglia and thalamus. Invalid trials, where temporal expectancies were breached, showed enhanced activation of left parietal and frontal areas, and engagement of orbitofrontal cortex bilaterally. Finally, trial validity interacted with length of delay. Appearance of targets prematurely selectively activated visual extrastriate cortex; while postponement of target appearance selectively activated right prefrontal cortex. These findings suggest that distinct brain areas are involved in redirecting attention based upon sensory events (bottom-up, exogenous shifts) and based upon cognitive expectations (top-down, endogenous shifts).
Mindfulness-Action Based Cognitive Behavioral Therapy for concurrent Binge Eating Disorder and Substance Use Disorders.

Individuals with Binge Eating Disorder (BED) often evidence comorbid Substance Use Disorders (SUD), resulting in poor outcome. This study is the first to examine treatment outcome for this concurrent disordered population. In this pilot study, 38 individuals diagnosed with BED and SUD participated in a 16-week group Mindfulness-Action Based Cognitive Behavioral Therapy (MACBT). Participants significantly improved on measures of objective binge eating episodes; disordered eating attitudes; alcohol and drug addiction severity; and depression. Taken together, MACBT appears to hold promise in treating individuals with co-existing BED-SUD.
Intracorneal Hematoma Showing Clinical and Dermoscopic Features of Acral Lentiginous Melanoma

Intra- and subcorneal hematoma, a skin alteration seen palmar and plantar after trauma or physical exercise, can be challenging to distinguish from in situ or invasive acral lentiginous melanoma. Thus, careful examination including dermoscopic and histologic assessment may be necessary to make the correct diagnosis. We here present a case of a 67-year-old healthy female patient who presented with a pigmented plantar skin alteration. Differential diagnoses included benign skin lesions, for example, hematoma or melanocytic nevus, and also acral lentiginous melanoma or melanoma in situ. Since clinical and dermoscopic examinations did not rule out a malignant skin lesion, surgical excision was performed and confirmed an intracorneal hematoma. In summary, without adequate physical trigger, it may be clinically and dermoscopically challenging to make the correct diagnosis in pigmented palmar and plantar skin alterations. Thus, biopsy or surgical excision of the skin alteration may be necessary to rule out melanoma.