Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisiting the Narrative about Least Restrictive Environment in Physical Education

ABSTRACT Since 1975, the implementation of the Least Restrictive Environment, a federal mandate of Public Law 94–142, has been historically challenging for physical educators and adapted physical educators. Confusion and misinterpretation of the law’s intent, as well as competing ideologies, have perpetuated failed Least Restrictive Environment (LRE) practice in the United States. The purpose of this essay is to revisit the conversation about LRE in PE and to provide direction for higher education’s role in addressing the issues. In doing so, a detailed historical context of the LRE is provided, followed by a discussion of the issues associated with the law that have emerged in the literature. Finally, future research directions to address these contemporary issues are presented to the readers.
Presentation, management, and outcomes of sepsis in adults and children admitted to a rural Ugandan hospital: A prospective observational cohort study

Objectives Limited data are available on sepsis in low-resource settings, particularly outside of urban referral centers. We conducted a prospective observational single-center cohort study in May 2013 to assess the presentation, management and outcomes of adult and pediatric patients admitted with sepsis to a community hospital in rural Uganda. Methods We consecutively screened all patients admitted to medical wards who met sepsis criteria. We evaluated eligible patients within 24 hours of presentation and 24–48 hours after admission, and followed them until hospital discharge. In addition to chart review, mental status evaluation, peripheral capillary oxygen saturation, and point-of-care venous whole blood lactate and glucose testing were performed. Results Of 56 eligible patients, we analyzed data on 51 (20 adults and 31 children). Median age was 8 years (IQR 2–23 years). Sepsis accounted for a quarter of all adult and pediatric medical ward admissions during the study period. HIV prevalence among adults was 30%. On enrollment, over half of patients had elevated point-of-care whole blood lactate, few were hypoglycemic or had altered mental status, and one third were hypoxic. Over 80% of patients received at least one antibiotic, all severely hypoxic patients received supplemental oxygen, and half of patients with elevated lactate received fluid resuscitation. The most common causes of sepsis were malaria and pneumonia. In-hospital mortality was 3.9%. Conclusions This study highlights the importance of sepsis among adult and pediatric patients admitted to a rural Ugandan hospital and underscores the need for continued research on sepsis in low resource settings.
Peri-Ictal and Ictal Cognitive Dysfunction in Epilepsy

Disturbances in cognitive function, particularly memory, are a common complaint of patients with epilepsy. Factors contributing to cognitive dysfunction are the type of epilepsy, type and frequency of seizures, anti-epileptic drugs and the location of underlying brain lesions. Whilst a great deal of attention has been paid to permanent cognitive impairment, the nature and underlying mechanisms of ictal and peri-ictal cognitive changes are poorly understood. In-depth investigation of seizure related cognitive dysfunction is of great clinical relevance, as these changes are potentially reversible and treatable, thus reducing the cumulative effect of frequent seizures Greater knowledge of peri-ictal and ictal cognitive dysfunction would improve seizure prediction, localization of seizure focus and assessment of treatment effectiveness, greatly reducing distress and disability. This paper will review current understanding of peri-ictal and ictal cognitive dysfunction and discuss future directions for research.
A High Throughput FPGA-Based Floating Point Conjugate Gradient Implementation for Dense Matrices

Recent developments in the capacity of modern Field Programmable Gate Arrays (FPGAs) have significantly expanded their applications. One such field is the acceleration of scientific computation and one type of calculation that is commonplace in scientific computation is the solution of systems of linear equations. A method that has proven in software to be very efficient and robust for finding such solutions is the Conjugate Gradient (CG) algorithm. In this article we present a widely parallel and deeply pipelined hardware CG implementation, targeted at modern FPGA architectures. This implementation is particularly suited for accelerating multiple small-to-medium-sized dense systems of linear equations and can be used as a stand-alone solver or as building block to solve higher-order systems. In this article it is shown that through parallelization it is possible to convert the computation time per iteration for an order n matrix from Θ(n2) clock cycles on a microprocessor to Θ(n) on a FPGA. Through deep pipelining it is also possible to solve several problems in parallel and maximize both performance and efficiency. I/O requirements are shown to be scalable and convergent to a constant value with the increase of matrix order. Post place-and-route results on a readily available VirtexII-6000 demonstrate sustained performance of 5 GFlops, and results on a Virtex5-330 indicate sustained performance of 35 GFlops. A comparison with an optimized software implementation running on a high-end CPU demonstrate that this FPGA implementation represents a significant speedup of at least an order of magnitude.
Cyclin-dependent kinase inhibitor p 18 INK 4 c is involved in protective roles of heme oxygenase-1 in cisplatin-induced acute kidney injury

Experimental studies have demonstrated the protective effect of heme oxygenase (HO)-1 and cyclin-dependent kinase inhibitors (CDKIs) in acute kidney injury (AKI), and it has been documented that some of the protective effect of HO-1 is mediated by CDKIs. However, the role of p18INK4c (p18), an inhibitor of CDK4 (INK4), which is a family member of CDKIs, has not been well characterized in kidney diseases. The aim of the present study was to demonstrate p18 protection from the relationship between p18 and HO-1 in cisplatin-induced AKI. Upregulation of p18 and HO-1 was demonstrated by quantitative polymerase chain reaction (qPCR) and western blotting in cisplatininduced AKI in vitro and in vivo. The effect of HO-1 on p18 was determined by western blotting using the inducer and inhibitor of HO-1 in vitro. The potential effect of p18 on HO-1 in cisplatin-induced AKI was examined by p18 gene knockout mice in vivo. The results showed that p18 and HO-1 were upregulated in cisplatin-induced AKI in vitro and in vivo. Deletion of the p18 gene did not affect the basal and inducible expression of HO-1 in the AKI animals, while hemin (10 μM) and znpp (10 μM), the inducer and inhibitor, respectively, of HO-1, regulated p18 expression when incubated with the cells. The results indicated that p18 may play protective roles and may be associated with or partially account for the cytoprotective effects of HO-1 in cisplatin-induced AKI.
Crossing the Digital Divide : computer resources to aid minorities

The term “digital divide” has been used frequently over the past five years to express the idea that certain people groups have less access to computing resources than others. Some aspects of the problem have been well explored in many documents. These include the financial problems of computer access, the lack of telecommunications resources in remote areas and a lack of basic literacy which would lead to computer use. These issues affect hundreds of millions of people around the world. A lesser-known problem is the lack of program and script support for minority groups, especially where those groups use non-Roman scripts.
Continuous quantum ant colony optimization and its application to optimization and analysis of induction motor structure

A new kind of quantum ant colony algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into ant colony optimization. Each ant carries a group of quantum bits representing its current position. And quantum bits are updated by quantum rotation gate to make ant's position changed. Some quantum bits are mutated by quantum non-gate to increase the population diversity. Numerical simulation results show that new algorithm has better global search capability and faster convergence rate than classical ant colony optimization. Furthermore, the new algorithm is applied to optimization for motor structure parameters successfully, and satisfactory optimization results are obtained. A new effective method for motor structure optimization has been suggested based on continuous quantum ant colony optimization.
Detecting distributed signature-based intrusion: The case of multi-path routing attacks

Signature-based network intrusion detection systems (S-IDS) have become an important security tool in the protection of an organisation's infrastructure against external intruders. By analysing network traffic, S-IDS' detect network intrusions. An organisation may deploy one or multiple S-IDS', each working independently with the assumption that it can monitor all packets of a given flow to detect intrusion signatures. However, emerging technologies (e.g., Multi-Path TCP) violate this assumption, as traffic can be concurrently sent across different paths (e.g., WiFi, Cellular) to boost network performance. Attackers may exploit this capability and split malicious payloads across multiple paths to evade traditional signature-based network intrusion detection systems. Although multiple monitors may be deployed, none of them has the full coverage of the network traffic to detect the intrusion signature. In this paper, we formalise this distributed signature-based intrusion detection problem as an asynchronous online exact string matching problem, and propose an algorithm for it. To demonstrate its effectiveness we conducted comprehensive experiments. Our results show that the behaviour of our algorithm depends only on the packet arrival rate: delay in detecting the signature grows linearly with respect to the packet arrival rate and with small communication overhead.
A mixed parameter scheduling algorithm of node operating system in CPS

Cyber Physical Systems (CPS) combines physical and computing systems tightly. Node operating systems (OS) are fundamental units in CPS. There are still many problems unsolved when designing CPS especially CPS node OS in aspects of predictability, reliability, robustness, etc. In this paper we propose a mixed priority real time scheduling method to enhance the CPS node OS performance. Generally, CPS node operating system uses a single method to assign priority. The single priority selection method will lead to the high deadline miss ration, which make the node OS performance drop sharply. Aiming at this problem, a scheduling method is proposed whose priority selection is determined by several characteristic parameters. The results show that the DMR of the proposed method is lower than that of single parameter method. Consequently, the predictability and reliability of CPS node OS is improved effectively.
Influencia de los recursos y capacidades territoriales sobre las empresas en un distrito industrial: evidencia empírica para el sector cerámico en España

espanolUna de las diferencias en el desempeno entre las empresas se fundamenta en la ubicacion estrategica de estas en una determinada zona geografica: el «efecto territorio». En primer lugar, elaboramos un modelo teorico integrador para justificar el marco conceptual de trabajo que recoja los activos localizados en un territorio denominado distrito industrial. A continuacion, para medir la posible influencia de los activos territoriales sobre las empresas localizadas, se realiza un analisis cuantitativo del «efecto distrito o territorio» sobre una muestra de 343 empresas del sector azulejero espanol para los anos 2000, 1999 y 1998, demostrando empiricamente la existencia de economias externas que se materializan en diferente grado, sobre la diferencia en los indicadores economico-financieros que muestran las empresas concentradas en un territorio con respecto a las «aisladas», para un mismo sector EnglishOne of the differences on the firm�s performance is based on the strategic location on a specific geographic place: the «territorial effect». Firstly, we develop a theoretical framework which includes the located assets in an industrial district. Thus, in order to measure the influence of territorial assets over located firms, we analyze quantitatively that «district effect» or «territorial effect» on a sample of 343 firms from the Spanish ceramic tile industry in 2000, 1999 and 1998, finding empirical evidence of the existence of externalities shown on different financial and economic indicators in the companies located in the industrial district area compared to the outside (or isolated) companies
Special populationsDrug and alcohol use in the young

Substance misuse by young people remains at a historically high level and, because of its associated morbidity ad mortality, is an important public health problem. Substance misuse is linked with a range of predisposing and consequential psychopathology. a constructive response to these phenomena requires alliances between child and adolescent mental health and substance misuse services. Mistrust and other developmental difficulties may make these young people difficult to engage and to reintegrate so that services need a capacity for full assessment, effective outreach and to mobilize community resources.
A single center comparison of coiling versus stent assisted coiling in 90 consecutive paraophthalmic region aneurysms

Introduction Aneurysm recurrence is a principle limitation of endovascular coiling procedures, with recurrence rates reported of >30%. The adjunct use of self-expandable stents has revolutionized the treatment of intracranial aneurysms, especially for complex morphologies, wide necks or unfavorable dome to neck ratios. However, further investigation into the durability and outcomes of stent assisted coiling procedures is required. Methods The records of a prospective single center aneurysm database were retrospectively reviewed, and 90 consecutive patients with paraophthalmic aneurysms who underwent coil embolization were identified, 30 of which included stent placement. Patient demographics, aneurysm characteristics, coil packing density, angiographic results (initial and follow-up) and complications were analyzed. Results Complete aneurysm occlusion was obtained on initial angiography in 13/30 (43.3%) stented and 19/60 (31.7%) non-stented patients. At ≤24 months (mean follow-up 12.8±6.2 months for stented and 12.8±6.6 months for non-stented group), aneurysm recurrence occurred in 3/26 (11.5%) stented and 14/39 (35.9%) non-stented patients (p<0.05). At the longest follow-up (mean 14.5±12.5 months for stented and 37.6±35.3 months for non-stented), aneurysm recurrence occurred in 4/26 (15.4%) stented and 17/41 (41.5%) non-stented patients (p<0.03). There was no statistically significant correlation between recurrence and aneurysm size or coiling packing. Conclusions Following endovascular coil embolization of paraophthalmic region aneurysms, recurrence rates at 2 years were significantly lower in patients who had stent assisted coiling (11.5%) compared with patients who had coiling procedures without the use of a stent (35.9%). Aneurysm size and coiling packing density did not significantly affect recurrence in our study population.
Speech/non-speech discrimination combining advanced feature extraction and SVM learning

This paper shows an effective speech/non-speech discrimination method for improving the performance of speech processing systems working in noisy environment. The proposed method uses a trained support vector machine (SVM) that defines an optimized non-linear decision rule over different sets of speech features. Two alternative feature extraction processes based on: i) subband SNR estimation after denoising, and ii) long-term SNR estimation were compared. Both methods show the ability of the SVM-based classifier to learn how the signal is masked by the acoustic noise and to define an effective non-linear decision rule. However, it is shown that a feature vector incorporating contextual information yielded better speech/non-speech discrimination even when no denoising is applied. The experimental analysis carried out on the Spanish SpeechDat-Car database shows clear improvements over standard VADs including ITU G.729, ETSI AMR and ETSI AFE for distributed speech recognition (DSR), and other recently reported VADs. Index Terms: voice activity detection, support vector machine learning, speech enhancement.
EVALUATING SYSTEMATIC DEPENDENCIES OF TYPE Ia SUPERNOVAE: THE INFLUENCE OF PROGENITOR 22Ne CONTENT ON DYNAMICS

We present a theoretical framework for formal study of systematic effects in supernovae Type Ia (SNe Ia) that utilizes two-dimensional simulations to implement a form of the deflagration–detonation transition (DDT) explosion scenario. The framework is developed from a randomized initial condition that leads to a sample of simulated SNe Ia whose 56Ni masses have a similar average and range to those observed, and have many other modestly realistic features such as the velocity extent of intermediate-mass elements. The intended purpose is to enable statistically well defined studies of both physical and theoretical parameters of the SNe Ia explosion simulation. We present here a thorough description of the outcome of the SNe Ia explosions produced by our current simulations. A first application of this framework is utilized to study the dependence of the SNe Ia on the 22Ne content, which is known to be directly influenced by the progenitor stellar population's metallicity. Our study is very specifically tailored to measure how the 22Ne content influences the competition between the rise of plumes of burned material and the expansion of the star before these plumes reach DDT conditions. This influence arises from the dependence of the energy release, progenitor structure, and laminar flame speed on 22Ne content. For this study, we explore these three effects for a fixed carbon content and DDT density. By setting the density at which nucleosynthesis takes place during the detonation phase of the explosion, the competition between plume rise and stellar expansion controls the amount of material in nuclear statistical equilibrium (NSE) and therefore 56Ni produced. Of particular interest is how this influence of 22Ne content compares to the direct modification of the 56Ni mass via the inherent neutron excess as discussed by Timmes et al. Although the outcome following from any particular ignition condition can change dramatically with 22Ne content, with a sample of 20 ignition conditions we find that the systematic change in the expansion of the star prior to detonation is not large enough to compete with the dependence discussed by Timmes et al. In fact, our results show no statistically significant dependence of the predetonation expansion on 22Ne content, pointing to the morphology of the ignition condition as being the dominant dynamical driver of the 56Ni yield of the explosion. However, variations in the DDT density, which were specifically excluded here, are also expected to be important and to depend systematically on 22Ne content.
Clinical application of antiangiogenic therapy: microvessel density, what it does and doesn't tell us.

A substantial number of clinical trials using antiangiogenic therapies are ongoing worldwide. How to achieve the maximum benefit from these therapies and how to monitor patient response are of paramount concern to investigators. There are currently no markers of the net angiogenic activity of a tumor available to aid investigators in the design of antiangiogenic treatment schemes. It stands to reason that quantification of various aspects of tumor vasculature might provide an indication of angiogenic activity. One often-quantified aspect of tumor vasculature is microvessel density. Studies over the last decade have demonstrated the value of using tumor microvessel density as a prognostic indicator for a wide range of cancers. In this context, measurement of microvessel density facilitates assessments of disease stage and the likelihood of recurrence and helps guide treatment decisions. Recently, however, it has been assumed by some investigators that measurements of microvessel density may also reveal the degree of angiogenic activity in a tumor. Based on this assumption, quantification of microvessel density is thought to constitute a surrogate marker for the efficacy of antiangiogenic agents as well as a means by which to assess which patients are good candidates for antiangiogenic therapy prior to treatment. Here we contend that, although microvessel density is a useful prognostic marker, it is not, by itself, an indicator of therapeutic efficacy, nor should it be used to guide the stratification of patients for therapeutic trials. In this review, we discuss the evidence for these assertions and what can and cannot be determined from measurements of microvessel density.
Beyond Static Detectors: A Bayesian Approach to Fusing Long-term Motion with Appearance for Robust People Detection in Highly Cluttered Scenes

In this work we present a framework for robust people detection in highly cluttered scenes with low resolution image sequences. Our model utilises both human appearance and their long-term motion information through a fusion formulated in a Bayesian framework. In particular, people appearance is modeled by histograms of oriented gradients. Motion information is computed via an improved background modeling by spatial motion constrains. Experiments demonstrate that our method reduces significantly the false positive rate compared to that of a state of the art human detector under very challenging conditions.
Research on Multi-sensory Virtual Guides based Robotic Teleoperation System

Multi-sensory virtual guides are proposed in this paper to assist human operator to improve the quality, accuracy and speed of the executed teleoperation tasks with the power of virtual reality. Three categories of virtual guides: visual, acoustic and haptic virtual guides are designed and implemented in detail. A task-oriented virtual guides configuration strategy is also proposed and demonstrated by a simple manipulation task. The experiment results have verified the usefulness of multi-sensory virtual guides
Social Entrepreneurship and Its Competences

Entrepreneurship needs a vision and leadership skills to accomplish it and a motivation to build something new, which will develop and sustain it. And society needs social entrepreneurs, contributing to a new organization of the welfare system, while making a difference and helping each other. The central theme in the existing social entrepreneurship literature is the pursuit of a social mission or objective. Thus, social entrepreneurs play a role as reformers and revolutionaries, who are intending to solve social problems, and not being answered by governmental policies. Entrepreneurial thinking and acting as well as innovation driving managers is a need for society. However, it is not the organization but the people, united by a proactive and market-driven culture, that are innovative and which combine to populate and to equip the organization with the required competencies. The chapter proposes a methodology to analyze the competencies that should be fostered by higher education programs to provide graduates with the desired competencies for entrepreneurship and driving innovation.