Miracle-dz/UniFAR-FTUs huggingface dataset:
A case of hemophagocytic syndrome in a patient with fulminant ulcerative colitis superinfected by cytomegalovirus

Hemophagocytic syndrome (HPS) is an uncommon hematological disorder that manifests as fever, splenomegaly, and jaundice, with hemophagocytosis in the bone marrow and other tissues pathologically. Secondary HPS is associated with malignancy and infection, especially viral infection. The prevalence of cytomegalovirus (CMV) infection in ulcerative colitis (UC) patients is approximately 16%. Nevertheless, HPS in UC superinfected by CMV is very rare. A 52-year-old female visited the hospital complaining of abdominal pain and hematochezia for 6 days. She was diagnosed with UC 3 years earlier and had been treated with sulfasalazine, but had stopped her medication 4 months earlier. On admission, her spleen was enlarged. The peripheral blood count revealed pancytopenia and bone marrow aspiration smears showed hemophagocytosis. Viral studies revealed CMV infection. She was treated successfully with ganciclovir. We report this case with a review of the related literature.
Enfermedad arterial periférica de extremidades inferiores. Diagnóstico y tratamiento.

Resumen La enfermedad arterial periferica (EAP) es la afectacion de la circulacion arterial especialmente a nivel de las extremidades inferiores. Su prevalencia aumenta con la edad. La mayoria de los afectados estaran asintomaticos, lo que supone un reto, ya que debemos hacer un esfuerzo activo para diagnosticarla. Al diagnosticar la EAP, debemos hacer entender a nuestros pacientes que el riesgo no es perder la extremidad, sino presentar complicaciones cardiovasculares mayores o incluso, la muerte. Debemos orientar al paciente para realizar un cambio en su estilo de vida y a la vez concientizar al medico de atencion primaria para rea- lizar prevencion y diagnostico precoz de la EAP para asi evitar progresion de la enfermedad con consecuencias irreversibles. Abstract Peripheral arterial disease (PAD) is the involvement of the arterial circulation especially in the lower limbs. The prevalence of this pathology increases with age. The majority of those affected will be asymptomatic, which is a challenge, since we have to make an active effort to diagnose them. When diagnosing PAD, we must make our patients understand that the risk is not to lose the limb, but to suffer major cardiovascular complications or death. We must guide the patient to make a change in lifestyle and at the same time. raise awareness of the primary care physician to perform prevention or early diagnosis of PAD and thus prevent pro- gression of the disease with irreversible consequences.
Filming the formation and fluctuation of skyrmion domains by cryo-Lorentz transmission electron microscopy

Significance The need for denser storage devices calls for new materials and nanostructures capable of confining single bits of information in a few nanometers. A new topological distribution of spins termed skyrmions is emerging, which promises to robustly confine a small magnetization in a few-nanometers-wide circular domain. A great deal of attention is being devoted to the understanding of these magnetic patterns and their manipulation. We manufactured a large nanoslice supporting over 70,000 skyrmions, and film their evolution in direct-space via cryo-Lorentz transmission electron microscopy. We reveal the octagonal distortion of the skyrmion lattice and show how these distortions and other defects impact its long-range order. These results pave the way to the control of a large two-dimensional array of skyrmions. Magnetic skyrmions are promising candidates as information carriers in logic or storage devices thanks to their robustness, guaranteed by the topological protection, and their nanometric size. Currently, little is known about the influence of parameters such as disorder, defects, or external stimuli on the long-range spatial distribution and temporal evolution of the skyrmion lattice. Here, using a large (7.3×7.3 μm2) single-crystal nanoslice (150 nm thick) of Cu2OSeO3, we image up to 70,000 skyrmions by means of cryo-Lorentz transmission electron microscopy as a function of the applied magnetic field. The emergence of the skyrmion lattice from the helimagnetic phase is monitored, revealing the existence of a glassy skyrmion phase at the phase transition field, where patches of an octagonally distorted skyrmion lattice are also discovered. In the skyrmion phase, dislocations are shown to cause the emergence and switching between domains with different lattice orientations, and the temporal fluctuation of these domains is filmed. These results demonstrate the importance of direct-space and real-time imaging of skyrmion domains for addressing both their long-range topology and stability.
Semantics rich ontology guided research supervisor search based on their key areas

Search for an efficient research supervisor/guide by a research scholar accordingly now-a-days is a very tough task and ask. Searching them in web 2.0 is a time consuming task often leading to in complete knowledge gain. Web 3.0 [1] supported Ontologies helps the research scholars to search for their concerned area guide in an efficient manner. This is possible by merging the individual Ontologies like Friend-Of-A-Friend [3], Semantic Web for Research Communities [4] and etc., so that obtained Ontology will be semantics rich in nature in terms of guide area based classification and linked data [2] among the peer guides from other geographically dispersed locations which can thereby be used to gain crucial knowledge about the guides and making better decisions in reaching them.
Time-Series Minimum-Wage Studies: A Meta-analysis

Time-Series Minimum-Wage Studies: A Meta-analysis Author(s): David Card and Alan B. Krueger Reviewed work(s): Source: The American Economic Review, Vol. 85, No. 2, Papers and Proceedings of the Hundredth and Seventh Annual Meeting of the American Economic Association Washington, DC, January 6-8, 1995 (May, 1995), pp. 238-243 Published by: American Economic Association Stable URL: http://www.jstor. org/stable/2117925 . Accessed: 04/11/2011 15:46
Evaluation of a RGB-LED-based Emotion Display for Affective Agents

Technology has become an essential part in every aspect of our lives. However the key to a successful implementation of a technology depends on the acceptance by the general public. In order to increase the acceptance various approaches can be applied. In this paper, we will examine the human-robot emotional interaction by investigating the capabilities of a developed low-resolution RGB-LED display in the context of artificial emotions. We are focusing on four of the most representative human emotions which include happiness, anger, sadness and fear. We will work with colors and dynamic light patterns which are supposed to evoke various associations. In an experiment, the use these patterns as expressions of emotions are validated. The results of the conducted study show that some of the considered basic emotions can be recognized by human observers.
Silicon nanowire (SiNW) growth using Vapor Liquid Solid method with gold nanoparticle (Au-np) catalyst

Silicon Nanowire (Si-NW) is one of the promising nanodevices which attract many attentions due to its potential applications in many fields. We used Vapor-Liquid-Solid (VLS) method to grow SiNW on silicon &#60;100> with gold nanoparticles (Au-np) as catalyst. SiNWs are grown in CVD reactor with Vapor-Liquid-Solid method. SiNWs with diameter 20–40 nm and lenght ∼500–800 nm has been successfully grown. As a preliminary analysis on its electrical behaviour we used online simulator for nanowires to predict its I-V characteristics.
Marked Calpastatin (CAST) Depletion in Alzheimer's Disease Accelerates Cytoskeleton Disruption and Neurodegeneration: Neuroprotection by CAST Overexpression

Increased activity of calpains is implicated in synaptic dysfunction and neurodegeneration in Alzheimer's disease (AD). The molecular mechanisms responsible for increased calpain activity in AD are not known. Here, we demonstrate that disease progression is propelled by a marked depletion of the endogenous calpain inhibitor, calpastatin (CAST), from AD neurons, which is mediated by caspase-1, caspase-3, and calpains. Initial CAST depletion focally along dendrites coincides topographically with calpain II and ERK 1/2 activation, tau cleavage by caspase-3, and tau and neurofilament hyperphosphorylation. These same changes, together with cytoskeletal proteolysis and neuronal cell death, accompany CAST depletion after intrahippocampal kainic acid administration to mice, and are substantially reduced in mice overexpressing human CAST. Moreover, CAST reduction by shRNA in neuronal cells causes calpain-mediated death at levels of calcium-induced injury that are sublethal to cells normally expressing CAST. Our results strongly support a novel hypothesis that CAST depletion by multiple abnormally activated proteases accelerates calpain dysregulation in AD leading to cytoskeleton disruption and neurodegeneration. CAST mimetics may, therefore, be neuroprotective in AD.
Exploring the Antecedents of Electronic Service Acceptance: Evidence from Internet Securities Trading

Services through the web channel are becoming increasingly popular in the financial sector. The Stock Exchange of Thailand (SET) has implemented Internet trading as a new electronic service delivery channel, but the acceptance by securities investors has not yet been measured to assess the value of the implemented system. The two beliefs of the Technology Acceptance Model (TAM), perceived ease of use and perceived usefulness, have been used to investigate variables that motivate users to accept the new technology system. However, the antecedents of perceived usefulness and their impact have not been fully explained in the context of Internet securities trading which is one of the most information intensive and risk prone sectors. The purpose of this study is to examine whether investment in Internet securities trading technology has resulted in acceptance among Thai investors, in terms of creating effective ease of use, usefulness and trust. The survey results from securities investors show five antecedents which have a positive impact on perceived usefulness: perceived ease of use, information quality, accessibility, trust, and flow-control of the securities trading process. Respondents see the highest benefit in the flow-control of the securities trading processes via the Internet channel. Investors prefer to have the freedom to make their own decision when trading securities. Also trust has much influence on perceived usefulness. In addition, the accessibility benefit did not contribute much to increase perceived usefulness. Securities investors have a negative perception of the low speed of the Internet trading network system. The findings indicate that perceived usefulness has major influences on attitude toward usage of Internet securities trading service. Attitude toward usage has the strongest impact on intention to use whereas trust makes only small contribution to intention to use. Moreover, non-user investors have a lower intention to use and less trust in the Internet securities trading system. Apparently, the other channels, usually interpersonal interactions with the brokerage firms, remain most important in building trust. The study results suggest that electronic service providers should be concerned about increasing the integrity, reliability, efficiency of the network system, and their ability to manage the system more efficiently in order to entice them to make online transactions.
Learning Sparse Dictionaries for Sparse Signal Approximation

An e‐cient and ∞exible dictionary structure is proposed for sparse and redundant signal representation. The structure is based on a sparsity model of the dictionary atoms over a base dictionary. The sparse dictionary provides e‐cient forward and adjoint operators, has a compact representation, and can be efiectively trained from given example data. In this, the sparse structure bridges the gap between implicit dictionaries, which have e‐cient implementations yet lack adaptability, and explicit dictionaries, which are fully adaptable but non-e‐cient and costly to deploy. In this report we discuss the advantages of sparse dictionaries, and present an e‐cient algorithm for training them. We demonstrate the advantages of the proposed structure for 3-D image denoising.
Shifting Gears: Re-framing the International Discussion about Inclusive Education

Kauffman, Felder, Ahrbeck, Badar, and Schneiders (this issue) call for a more temperate approach to inclusion, arguing against its use in educating all students with disabilities. We argue in response that the issue should not be framed as “inclusion versus non-inclusion,” asserting that our field would benefit by examining the alternatives that actually exist across the globe for educating children with and without disabilities. We first provide four concepts that are central to understanding how education is conceptualized and practiced on a global scale: (a) education for all (EFA), interpreted as nations valuing an educated citizenry; (b) primary and secondary education, discussed to make clear real differences in how these two periods of schooling are handled across nations; (c) tracking, the worldwide practice of ability grouping that affects the education of all students; and (d) comprehensive local schools, regionally centralized facilities educating all children, which offer the potential for greater equity. We follow the latter with five schooling “models” that represent the major educational options worldwide: (a) the selective schools model, which controls educational access, often with academic criteria; (b) the separate schools model, which tracks students into different facilities; (c) the tracked schools model, which stratifies students within the same facility; (d) the multi-tiered schools model, which starts with general education settings and curriculum, then provides interventions or programs as needed; and (e) the equity schools model, which uses general education settings and curriculum, providing supports as needed. We conclude with four points: (a) neither resource scarcity nor presumed limitations in general education capacity should preclude inclusive education; (b) the comprehensive local school provides a good base for enhancing equity in educational opportunity for students with and without disabilities; (c) special education is tracking, seriously impacting equity; and (d) inclusive schooling provides the best approach to EFA in the long run.
A Game-Theoretic Approach to Competitive Viral Marketing in Social Networks

Recently, the rapidly increasing popularity of online social networking sites such as Facebook, Twitter, and Google+ opens up great opportunities for large-scale viral marketing campaigns. Viral marketing, first introduced to the data mining community by Domingos and Richardson [6], is a cost-effective marketing strategy that promotes products by giving free or discounted items to a selected group of highly influential individuals (also called seeds), in the hope that through word-of-mouth effects, a large number of adoption will occur. Motivated by viral marketing, influence maximization has emerged as a key computational problem concerning the propagation of innovations and technology adoptions through social networks. In a seminal paper, Kempe et al. [12] formulated influence maximization as follows. Given a directed graph G = (V,E) representing a social network, and a positive integer k, find k users, such that by targeting them, the expected spread of influence is maximized under a certain propagation model. Here, “targeting” means giving a buyer free or discounted samples so that she adopts the product, and k represents the company’s budget, i.e., the maximum number of samples it is willing to give away. The bulk majority of research in this field assumes that there is only one company promoting one product, and there is no competition. However, in real world, there are often multiple companies providing comparable products and fight for market share, e.g., Apple vs. Samsung in smartphones, Canon vs. Nikon in digital SLR cameras, and Sony vs. Microsoft in video game platforms. Since those consumer technologies are usually not free to adopt, it is unlikely that one person will purchase from more than one company in a short period of time. Therefore, competitions naturally exist, and recognizing this, there has been recent work proposing competitive influence propagation models and tackle influence maximization problems under such models [1, 5, 4, 11, 16, 3, 2, 13]. However, there are two missing pieces in most previous work. First, they focus on the optimizing an objective for a single company and do not fully consider strategic interactions among companies. Second, it is often assumed that a marketing company has complete knowledge of the social network graph and can directly mime influential seeds from it. This may not be the case in
White Space Enabled Connected Vehicle Networks : Challenges and Solutions

AbstrAct Connected vehicle technology provides many potential benefits on the road such as safety applications , effective traffic management, and mobile Internet access. In order to mitigate the resulting high spectrum demands and provide vehicular connectivity with wider communication range, higher transmission rate, and lower data transfer cost, in this article, we exploit the abundant TV white space with superior propagation characteristics and building penetration performance. We first present the application scenarios exploiting TV white space in heterogeneous connected vehicular communication networks, and discuss white space channel availability and characteristics for vehicular communications. We then propose TV white space geolocation database based vehicular communication architectures for vehicle-to-infrastructure (V2I) communications and vehicle-to-vehicle (V2V) communications. Finally, we highlight the key technical challenges and pinpoint future research directions toward exploiting TV white space for vehicular communication networks.
General public awareness, knowledge, and beliefs toward palliative care in a Saudi population

Objectives: Public awareness of palliative care (PC) is satisfactory in only twenty countries in 2013, which does not include Saudi Arabia in spite of the global efforts done to enhance the public awareness of PC. This study was conducted to evaluate the awareness, knowledge, and beliefs of the Saudi adult population about PC. Methods: A cross-sectional design study was conducted in December 2017 using a self-administered questionnaire survey that was sent through Google Docs to assess the Saudi general public on the awareness of PC. Results: There were 1987 (out of 3164, 62.8% response rate) Saudi adults who responded to the survey, in which 60.3% were males (mean age: 39.50 years, median: 39.0 years, and range: 15–77 years). There were 321 (16.2%) respondents who reported that they know PC and 454 (22.8%) answered that they have heard or were aware of PC. A total of 755 (38.2%) believe that PC improves the quality of life of sick people and 684 (34.4%) believe that PC can reduce the physical suffering of patients. Knowledge of PC was not statistically significantly affected by gender, place of residence, and marital status. On the other hand, employment and having higher levels of education led to better knowledge and more awareness of PC. Conclusion: The current study demonstrated that the knowledge and awareness of PC is still low among surveyed Saudis. There is a need for the government to advocate institutions to functionally devote programs and initiatives and promote literacy of PC in the general population. Nongovernmental sectors should also participate in programs to improve the knowledge and awareness of PC.
Effects of Mobility-Enhancing Nursing Intervention in Patients with MS and Stroke: Randomised Controlled Trial

Background. Multiple sclerosis (MS) or stroke causes functional impairment which can have a major impact on patients' life. Objectives. This RCT investigated the effect of a new nursing intervention (Mobility Enhancing Nursing Intervention—MFP) designed to improve rehabilitation outcomes. Method. The study took place in a rehabilitation clinic in Switzerland. One hundred forty participants diagnosed with MS, stroke, and brain injuries were randomly assigned to control group (CG = standard care) or intervention group (IG). The IG combined standard care with 30 days of MFB. MFP placed patients on a mattress on the floor and used tactile-kinaesthetic stimulation to increase spatial orientation and independency. Outcomes were functionality (Extended Barthel Index, EBI), quality of life (WHOQoL), and fall-related self-efficacy (FES-I). Results. There was a significant main effect of the intervention on functionality (EBI-diff/day mean = 0.30, versus mean = 0.16, P = 0.008). There was also a significant main effect on QoL (WHOQoL-diff mean = 13.8, versus mean = 5.4, P = 0.046). No significant effect was observed on fall-related self-efficacy. Conclusions. The positive effect of MFP on rehabilitation outcomes and quality of life suggests that this specialized nursing intervention could become an effective part of rehabilitation programs. The study was approved by the Ethics Committee of St. Gallen (KEK-SG Nr. 09/021) and registered at ClinicalTrial.gov NCT02198599.
Indoor human tracking application using multiple depth-cameras

This research developed an application that could tracks and locates human's presence and position in indoor environment using multiple depth-cameras. Kinect as the most affordable device that equipped with depth-camera was used in this work. The application obtains stream data from Kinect and analyzes presence of human using skeletal tracking library on Kinect for Windows SDK v1. The final application also visualizes human location on 3D environment using Windows Presentation Foundation (WPF) 4.0. In order to visualize 3D object correctly, the application also took into account the coverage that may intersect when two Kinects were placed in adjacent position so that the final human location is combined. In the end, application was tested in 3 different scenarios and it's found that the average error in determining human location was 0.13589 meters.
Two Phase Locking-Based Algorithm with Partial Abort for Firm Deadline Real-Time Database Systems

Locking-based concurrency control algorithms are often proposed as an alternative to optimistic algorithms for real-time database systems. Many of them suffer from the costs of transaction restarts, usually having influence on the system performance. We propose a new method - called partial abort - aimed to minimize the costs of restarts by saving the part of previously performed work, which is independent of conflicting data. The modification of well known 2PL-HP algorithm is presented. Through simulation experiments we evaluate the performance of the modified version, and show that the improvement is significant.