Miracle-dz/UniFAR-FTUs huggingface dataset:
Tranexamic acid reduces postoperative blood loss in cementless total hip arthroplasty.

BACKGROUND Tranexamic acid, an inhibitor of fibrinolysis that blocks the lysine-binding site of plasminogen to fibrin, has been reported to reduce intraoperative and postoperative blood loss in patients undergoing total hip arthroplasty with cement. However, there have been few reports describing the effects of tranexamic acid on blood loss during and following total hip arthroplasty without cement. METHODS We investigated the effects of tranexamic acid in twenty-one patients who underwent staged bilateral total hip arthroplasty without cement for the treatment of osteoarthritis of the hip. The average interval between the two procedures was 16 +/- 16 months. On one side, 1000 mg of tranexamic acid was administered intravenously five minutes before the skin incision. On the other side, tranexamic acid was not administered. Baseline hemoglobin and hematocrit values were obtained three weeks before each arthroplasty. The volume of postoperative blood loss was recorded at two-hour intervals for the first twelve hours and then again at twenty-four hours, and the values were compared between the two groups. RESULTS The total intraoperative blood loss in the tranexamic acid group (607 +/- 298 mL) was similar to that in the control group (633 +/- 220 mL). The postoperative blood loss in the tranexamic acid group was significantly lower than that in the control group at all time-points during the first twenty-four hours (p < 0.001 for all comparisons). The greatest reduction in blood loss was observed during the first four hours after surgery in the tranexamic acid group (p < 0.01). CONCLUSIONS In patients undergoing total hip arthroplasty without cement, preoperative administration of tranexamic acid is associated with decreased postoperative blood loss during the first twenty-four hours, especially during the first four hours after surgery.
Practical uniform interpolation for expressive description logics

The thesis investigates methods for uniform interpolation in expressive description logics. Description logics are formalisms commonly used to model ontologies. Ontologies store terminological information and are used in a wide range of applications, such as the semantic web, medicine, bio-informatics, software development, data bases and language processing. Uniform interpolation eliminates terms from an ontology such that logical entailments in the remaining language are preserved. The result, the uniform interpolant, is a restricted view of the ontology that can be used for a variety of tasks such as ontology analysis, ontology reuse, ontology evolution and information hiding.Uniform interpolation for description logics has only gained an interest in the research community in the last years, and theoretical results show that it is a hard problem requiring specialised reasoning approaches. We present a range of uniform interpolation methods that can deal with expressive description logics such as ALC and many of its extensions. For all these logics, these are the first methods that are able to compute uniform interpolants for all inputs. The methods are based a new family of saturation-based reasoning methods, which make it possible to eliminate symbols in a goal-oriented manner. The practicality of this approach is shown by an evaluation on realistic ontologies.
The minimally conscious state: Definition and diagnostic criteria

ObjectiveTo establish consensus recommendations among health care specialties for defining and establishing diagnostic criteria for the minimally conscious state (MCS). BackgroundThere is a subgroup of patients with severe alteration in consciousness who do not meet diagnostic criteria for coma or the vegetative state (VS). These patients demonstrate inconsistent but discernible evidence of consciousness. It is important to distinguish patients in MCS from those in coma and VS because preliminary findings suggest that there are meaningful differences in outcome. MethodsAn evidence-based literature review of disorders of consciousness was completed to define MCS, develop diagnostic criteria for entry into MCS, and identify markers for emergence to higher levels of cognitive function. ResultsThere were insufficient data to establish evidence-based guidelines for diagnosis, prognosis, and management of MCS. Therefore, a consensus-based case definition with behaviorally referenced diagnostic criteria was formulated to facilitate future empirical investigation. ConclusionsMCS is characterized by inconsistent but clearly discernible behavioral evidence of consciousness and can be distinguished from coma and VS by documenting the presence of specific behavioral features not found in either of these conditions. Patients may evolve to MCS from coma or VS after acute brain injury. MCS may also result from degenerative or congenital nervous system disorders. This condition is often transient but may also exist as a permanent outcome. Defining MCS should promote further research on its epidemiology, neuropathology, natural history, and management.
Bridging Reactive and Control Architectural Layers for Cooperative Missions Using VTOL Platforms

In this paper we address the issue of connecting abstract task definitions at a mission level with control functionalities for the purpose of performing autonomous robotic missions using multiple heterogenous platforms. The heterogeneity is handled by the use of a common vocabulary which consists of parametrized tasks such as fly-to, take-off, scan-area, or land. Each of the platforms participating in a mission supports a subset of the tasks by providing their platform-specific implementations. This paper presents a detailed description of an approach for implementing such platform-specific tasks. It is achieved using a flight-command based interface with setpoint generation abstraction layer for vertical take-off and landing platforms. We show that by using this highly expressive and easily parametrizable way of specifying and executing flight behaviors it is straightforward to implement a wide range of tasks. We describe the method in the context of a previously described robotics architecture which includes mission delegation and execution system based on a task specification language. We present results of an experimental flight using the proposed method.
Assessing treatment outcomes in attention-deficit/hyperactivity disorder: a narrative review.

OBJECTIVE To review measures used to assess treatment response in patients with attention-deficit/hyperactivity disorder (ADHD) across the life span. DATA SOURCES Keyword searches of English-language articles in the PubMed database up to and including the May 4, 2011, index date were performed with the search strings (1) (attention deficit disorder with hyperactivity [MeSH] OR ADHD) AND (outcome assessment [MeSH] OR adaptation of life skills OR executive function [MeSH]) and (2) (attention deficit disorder with hyperactivity [MeSH] OR ADHD) AND (function OR functioning OR quality of life [MeSH]). STUDY SELECTION Articles found through this search were then selected based on relevance to the topic area; no specific quality criteria were applied. DATA EXTRACTION Narrative review. RESULTS The vast majority of studies assessing ADHD treatments have measured treatment response using ADHD symptom measures. Additional domains relevant for assessing treatment response among children and adults with ADHD include functional impairment, quality of life, adaptive life skills, and executive function. Validated rating scales exist for assessing these additional domains, but there has been minimal research evaluating the sensitivity of these instruments for detecting treatment response in pediatric and adult samples. CONCLUSIONS Assessment of treatment outcomes in ADHD should move beyond symptom assessment to incorporate measures of functioning, quality of life, adaptive skills, and executive function, especially when assessing long-term treatment response. The authors recommend a potential battery and schedule of measures that could be used to more comprehensively assess treatment response in patients with ADHD.
A Fine-Grain Local Clock Generator Architecture to Enable Dynamic Frequency Scaling in MPSoCs

— Synchronous MPSoCs are widespread today, but the evolution of technology into the deep submicron domain leads to increasingly complex timing closure problems. One natural solution to these is to resort to the globally asynchronous, locally synchronous (GALS) paradigm. This work proposes a novel architecture for clock generators to support GALS systems. The generator can drive individual modules of an MPSoC, e.g. NoC routers and processing modules. The main design objectives were low power and area overheads. This generator produces 16 distinct operating frequencies between 90 MHz and 1 GHz. It supports clock gating, glitch-free frequency switching and is robust to PVT variations.
Effects of four meals with different kinds of dietary fibre on glucose metabolism in healthy subjects and non-insulin-dependent diabetic patients.

The effects of four mixed meals on glucose metabolism were studied during a 4-h period in 12 healthy women and in 13 women with non-insulin-dependent diabetes. Three test meals containing different types of dietary fibre in realistic amounts (cereal, leguminous and mixed-fibre), and one control meal were prepared. Each meal was calculated to contain 2.1 MJ (500 kcal) and the energy distributions of protein, fat and carbohydrate (by difference) were 15, 29-31 and 56-58 per cent, respectively. Results of analyses of the mixed meals, performed after the clinical study, showed unexpectedly large deviations from the calculated values regarding digestible carbohydrates in the leguminous meal. In the healthy group the blood glucose concentrations after the four meals did not differ significantly. In the diabetic group the area under the curve of blood glucose values was significantly smaller after both the leguminous meal and that containing mixed dietary fibre than after the control meal (P less than 0.001). There were also significant differences in blood glucose between the cereal meal and the leguminous and mixed-fibre meals (P less than 0.001), and between the leguminous meal and the mixed-fibre meal (P less than 0.05). In the healthy group the insulin response was significantly lower after the leguminous meal than after the control meal (P less than 0.05) whilst the diabetic group showed lower insulin responses after all the high-fibre test meals. Serum triglycerides, cholesterol and HDL cholesterol were similar after the different meals. The lower content of digestible carbohydrates, especially in the leguminous meal, complicates the interpretation of the results. (ABSTRACT TRUNCATED AT 250 WORDS)
SOLVING INVERSE PROBLEMS

Consider an ill-posed inverse problem of estimating causal factors from observations, one of which is known to lie near some (unknown) low-dimensional, nonlinear manifold expressed by a predefined Mercer-kernel. Solving this problem requires simultaneous estimation of these factors and learning the low-dimensional representation for them. In this work, we introduce a novel non-linear dimensionality regularization technique for solving such problems without pre-training. We re-formulate Kernel-PCA as an energy minimization problem in which low dimensionality constraints are introduced as regularization terms in the energy. To the best of our knowledge, ours is the first attempt to create a dimensionality regularizer in the KPCA framework. Our approach relies on robustly penalizing the rank of the recovered factors directly in the implicit feature space to create their low-dimensional approximations in closed form. Our approach performs robust KPCA in the presence of missing data and noise. We demonstrate state-of-the-art results on predicting missing entries in the standard oil flow dataset. Additionally, we evaluate our method on the challenging problem of Non-Rigid Structure from Motion and our approach delivers promising results on CMU mocap dataset despite the presence of significant occlusions and noise.
Specific interactions between lactose repressor protein and DNA affected by ligand binding: Ab initio molecular orbital calculations

Transcription mechanisms of gene information from DNA to mRNA are essentially controlled by regulatory proteins such as a lactose repressor (LacR) protein and ligand molecules. Biochemical experiments elucidated that a ligand binding to LacR drastically changes the mechanism controlled by LacR, although the effect of ligand binding has not been clarified at atomic and electronic levels. We here investigated the effect of ligand binding on the specific interactions between LacR and operator DNA by the molecular simulations combined with classical molecular mechanics and ab initio fragment molecular orbital methods. The results indicate that the binding of anti‐inducer ligand strengthens the interaction between LacR and DNA, which is consistent with the fact that the binding of anti‐inducer enhances the repression of gene transcription by LacR. It was also elucidated that hydrating water molecules existing between LacR and DNA contribute to the specific interactions between LacR and DNA. © 2011 Wiley Periodicals, Inc. J Comput Chem, 2011
A Multi-element Authentication Method Based on ECDSA for Wireless Network

Analyzes the engineering environment in WLAN based on ECC, this paper describe a kind of dual signature scheme using multi-element authentication method by choosing appropriate ECC parameters. This scheme strengthen authentication for all the entities in WLAN, any party's identity should be checked by others when associating. The analytical results indicate that this scheme not only enhance the security of access control in wireless network environment, restrict the "Man-in-the-Middle" attacks, but also well support the bandwidth transport in wireless network.
Building a modular BitTorrent model for ns-3

Over the past decade BitTorrent has established itself as the virtual standard for P2P file sharing in the Internet. However, it is currently not possible to investigate BitTorrent with ns-3 due to the unavailability of an according application model. In this paper we eliminate this burden. We present a highly modular BitTorrent model which allows for the easy simulation of different BitTorrent systems such as file sharing as well as present and future BitTorrent-based Video-on-Demand systems.
SEM evaluation of root canal dentin morphology after Ni-Ti instrumentation.

PURPOSE The aim of this study was to compare, through scanning electron microscope (SEM), the ability of four Ni-Ti rotary instrument systems in shaping root canal walls and their ability in removing smear layer and dentin debris. METHODS Forty-six extracted single-rooted human teeth were divided into four groups and prepared to size 35 (Alpha System, FlexMaster, MFile) or 30 (NRT files). Irrigation was carried out with NaOCl and EDTA. Three parameters were evaluated in the coronal, middle, and apical thirds of the root canals: smear layer morphology, pulpal-inorganic debris presence and surface profile morphology. Data were statistically analyzed using the Kruskal-Wallis test (ANOVA). RESULTS None of the Ni-Ti rotary instrument systems resulted in being able to obtain constantly regular shaped surfaces in apical thirds, where smear layer, pulpal and inorganic debris were often present. CONCLUSIONS NRT file specimens resulted in being relatively free from debris and smear layer and gained better results and scores at any canal level.
Investigating the structure of autobiographical memory using reaction times

The study investigated the structure of autobiographical memory using reaction time measures. A total of 18 participants took photographs over their summer holidays and then reacted to pairs of these photographs displayed via a computer. They also subsequently sorted their photographs according to the autobiographical themes and events with which they were associated. When photographic sequence and the physical similarities in the photographs were controlled for by considering the results of “stranger” participants who were unfamiliar with the photographs, reaction times were significantly faster to pairs of photographs from the same theme or event. The results are consistent with currently held assumptions about the structure of autobiographical memory. Furthermore, the results suggest that reaction time measures may provide a valuable means by which aspects of autobiographical memory can be explored.
Context-Aware Estimation Approach Based on Participatory Sensing

In participatory sensing applications, the inaccuracy and conflict of the reported data, commonly caused by the error rate of participants or the differences of observation context, have received more and more attention. Estimating the real status of facilities according to observations becomes a big challenge for participatory sensing. Towards this end, we propose a context-aware estimation approach based on participatory sensing in this paper. We first model the effects of observation context, and then propose an iterative method to infer the error rate of participants and estimate the real status with high precision. Our method is verified using a public facilities monitoring application in our campus, and tested via extensive simulations. The results demonstrate that the proposed method outperforms recent popular three-estimates algorithm and OtO EM algorithm.
MTracer: A Trace-Oriented Monitoring Framework for Medium-Scale Distributed Systems

Trace-oriented runtime monitoring is a very effective method to improve the reliability of distributed systems. However, for medium-scale distributed systems, existing trace-oriented monitoring frameworks are either not powerful or efficient enough, or too complex and expensive to deploy and maintain. In this paper, we present MTracer, which is a lightweight trace-oriented monitoring system for medium-scale distributed systems. We have proposed and implemented several optimizations to improve the efficiency of the monitor server in MTracer. A web-based frontend is also provided to visualize a monitored system from different perspectives. We have validated MTracer in a real medium-scale environment. The results indicate that MTracer has a very lower overhead, and can handle more than 4000 events per second.
An Interactive Integrated MCDM Based on FANN and Application in the Selection of Logistic Center Location

Many practical problems are characterized as decision making with multiple, conflicting and noncommensurable nonlinear objectives and complex criteria. For identifying these nonlinear function structure and multiple attributes is a very difficult, time consuming, and confusing job in multiple criteria decision making (MCDM). This paper presents a feedforward artificial neural network (FANN) as a flexible and versatile approach for solving MCDM problems. In order to make the proposed ANN more adaptive to MCDM, this paper presents improvement methods to the FANN. Multicriteria hierarchy structure is established in an interactive method to determine appropriate network input-output structure. Fuzzy AHP is integrated with FANN. Criteria weights evaluated by Fuzzy AHP are used as ANN initial weights, which can make the FANN's weights get the definable meaning and avoid to be selected randomly. The method to standardize the criteria dimension can make the sigmoid activation function more efficient in ANN training. Arithmetic average function is applied to produce criteria value repeatedly to promise the generalization of ANN. We apply the proposed method to evaluate the location of logistic centers. The rank result indicates this model is a feasible and practical MCDM method which analyses both the qualitative and quantitative factors.
Gaze Estimation Based on Eyeball-Head Dynamics

Human's gaze direction is a useful cue to understand his/her attention and interest. There are many kinds of eye tracking devices, but they are usually unavailable for people observed in surveillance views because they are located too far to observe their eyeballs. If we could know the gaze direction from such surveillance views, it should be very effective for many applications. Our research objective is thus to estimate the gaze direction without any eye-trackers but by observing their behaviors. This paper proposes a new gaze estimation method based on a dynamical model emulating dynamic relation between eyeball and head. Experimental results using head-mounted and body-mounted camera images confirmed its effectiveness.
Development, Validity, and Reliability Analyses of Beliefs about Relationship Violence against Women Scale and Gender Stereotypes and Beliefs in Nigeria

This article describes development, validity, and reliability analyses of Beliefs about Relationship Violence against Women Scale (BEREVIWOS) and Gender Stereotypes and Beliefs (GESTABE). BEREVIWOS consisted of 13 items measuring beliefs about physical violence (4 items), psychological manipulation and control (5 items), and sexual violence against women (4 items). GESTABE consisted of 16 items measuring beliefs about sexual submissiveness of women (4 items), emotional stereotypes about women (6 items), and sexual stereotypes about men (6 items). Analysis was based on a convenience sample of 210 respondents in Nigeria. Exploratory factor analysis with varimax rotation was used to determine the factor structure. Relevant scales (i.e., adversarial sexual beliefs, physical aggression, hostility, relationship victimization experience, propensity to victimize partner, and relationship distress assessment) were used to establish convergent, concurrent, and discriminant validity. Social desirability scale was used to control for common method bias using partial-correlation procedures. Cronbach? s alpha indicated that the internal consistency of BEREVIWOS (.87), as well as the subscales (physical violence .79, psychological manipulation and control .82, and sexual violence .82), were acceptable. Cronbach? s alpha for GESTABE (.88), as well as its subscales (sexual submissiveness of women .81, emotional stereotypes about women .90, and sexual stereotypes about men .85) were equally acceptable. Hypothetical relationships between BEREVIWOS, GESTABE, and socio-demographic variables were examined. Implications for policy, practice, and research were discussed.