LLukas22/scidocs huggingface dataset:
Factor Structure of the Wechsler Intelligence Scale for Children–Fourth Edition Among Referred Students

Millions of students were administered the Wechsler Intell Children–Third Edition (WISC-III; Wechsler, 1991) to dete for special education services (Kamphaus, Petoskey, & Rowe, 20 WISC-III, the Wechsler Intelligence Scale for Children–Revised (W 1974) was the most popular individual test of intelligence for chi Hu, 1992). The Wechsler Intelligence Scale for Children–Fourth E Wechsler, 2003a) has now superseded the WISC-III and promises t the most widely used measure of childhood intelligence (Prifitera, & Rolfhus, 2005). © 2006 Sage Publications
Passionflower in the treatment of generalized anxiety: a pilot double-blind randomized controlled trial with oxazepam.

OBJECTIVE
Passionflower (Passiflora incarnata) is a folk remedy for anxiety. A double-blind randomized trial compared the efficacy of Passiflora incarnata extract with oxazepam in the treatment of generalized anxiety disorder.


METHODS
The study was performed on 36 out-patients diagnosed with GAD using DSM IV criteria. Patients were allocated in a random fashion: 18 to the Passiflora extract 45 drops/day plus placebo tablet group, and 18 to oxazepam 30 mg/day plus placebo drops for a 4-week trial.


RESULTS
Passiflora extract and oxazepam were effective in the treatment of generalized anxiety disorder. No significant difference was observed between the two protocols at the end of trial. Oxazepam showed a rapid onset of action. On the other hand, significantly more problems relating to impairment of job performance were encountered with subjects on oxazepam.


CONCLUSION
The results suggest that Passiflora extract is an effective drug for the management of generalized anxiety disorder, and the low incidence of impairment of job performance with Passiflora extract compared to oxazepam is an advantage. A large-scale trial is justified.
Prevalence and incidence of human immunodeficiency virus among patients undergoing long-term hemodialysis

20:799-809 3. Brenner RJ, Spring DB, Sebastian A, McSherry E, Gennaut HK, Palubinskas AJ, Morris RC Jr (1982) Incidence of radiographically evident bone disease, nephrocalcinosis and nephrolithiasis in various types of renal tubular acidosis. N Engl J Med 307:217 -221 4. Buchanan EU, Komrower GM (1958) The prognosis of idiopathic renal acidosis in infancy with observation on urine acidification and ammonia production in children. Arch Dis Child 33:532-535 5. Leumann EP, Steinmarm B (1975) Persistent and transient distal renal acidosis with bicarbonate wasting. Pediatr Res 9:767-773 6. Lather AL, Buruard ED (1950) Idiopathic hyperchloremic acidosis of infants. Q J Med 76: 285301 7. Nash MA, Torrado AD, Greifer I, Spitzer A, Edelman CM (1972) Renal tubular acidosis in infants and children. J Pediatr 80:738-748 8. Barakat AY, Der Kaloustian VM, Mufarrij AM, Birbari AE (1986) The kidney in genetic disease, abnormalities of kidney function, 1st edn. Churchill Livingstone, Edinburgh, pp 50-66 269
Discovering Executable Semantic Mappings Between Ontologies

Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans (domain experts) for best accuracy, in general, automatic ontology mapping is an AI-Complete problem. Finding matchings (correspondences) between the concepts of two ontologies is the first step towards solving this problem but matchings are normally not directly executable for data exchange or query translation. This paper presents an systematic approach to combining ontology matching, object reconciliation and multi-relational data mining to find the executable mapping rules in a highly automatic manner. Our approach starts from an iterative process to search the matchings and do object reconciliation for the ontologies with data instances. Then the result of this iterative process is used for mining frequent queries. Finally the semantic mapping rules can be generated from the frequent queries. The results show our approach is highly automatic without losing much accuracy compared with human-specified mappings.
Learning Interpretable Spatial Operations in a Rich 3D Blocks World

In this paper, we study the problem of mapping natural language instructions to complex spatial actions in a 3D blocks world. We first introduce a new dataset that pairs complex 3D spatial operations to rich natural language descriptions that require complex spatial and pragmatic interpretations such as “mirroring”, “twisting”, and “balancing”. This dataset, built on the simulation environment of Bisk, Yuret, and Marcu (2016), attains language that is significantly richer and more complex, while also doubling the size of the original dataset in the 2D environment with 100 new world configurations and 250,000 tokens. In addition, we propose a new neural architecture that achieves competitive results while automatically discovering an inventory of interpretable spatial operations (Figure 5).
Cytomegalovirus Load in Inflamed Intestinal Tissue Is Predictive of Resistance to Immunosuppressive Therapy in Ulcerative Colitis

OBJECTIVES:Previous studies have suggested an association between cytomegalovirus (CMV) infection and steroid-refractory inflammatory bowel disease. In this study, the use of CMV DNA load during acute flare-ups of ulcerative colitis (UC) to predict resistance to immunosuppressive therapy was evaluated in intestinal tissue.METHODS:Forty-two consecutive patients (sex ratio M/F: 0.9, mean age: 43.6 years) hospitalized for moderate to severe UC and treated with IV steroids were included prospectively. A colonoscopy was performed for each patient at inclusion; colonic biopsy samples of the pathological tissue, and if possible, of the healthy mucosa, were tested for histological analysis and determination of CMV DNA load by real-time polymerase chain reaction assay. Patients were treated as recommended by the current guidelines.RESULTS:Sixteen patients were found positive for CMV DNA in inflamed intestinal tissue but negative in endoscopically healthy tissue; all of these patients were positive for anti-CMV IgG, three exhibited CMV DNA in blood, and none was positive for intestinal CMV antigen by immunohistochemistry detection. In the 26 remaining patients, no stigmata of recent CMV infection were recorded by any technique. By multivariate analysis, the only factor associated with CMV DNA in inflammatory tissue was the resistance to steroids or to three lines of treatment (risk ratio: 4.7; 95% confidence interval: 1.2–22.5). A CMV DNA load above 250 copies/mg in tissue was predictive of resistance to three successive regimens (likelihood ratio+=4.33; area under the receiver-operating characteristic curve=0.85). Eight UC patients with CMV DNA in inflamed tissue and therapeutic failure received ganciclovir; a clinical remission was observed in seven cases, with a sustained response in five of them.CONCLUSIONS:The CMV DNA load determined in inflamed intestinal tissue predicts resistance to steroid treatment and to three drug regimens in UC. Initiation of an early antiviral treatment in these patients might delay the occurrence of resistance to current treatments.
Kit ligand/mast cell growth factor-independent differentiation of mast cells in myelodysplasia and chronic myeloid leukemic blast crisis.

Autonomous, factor-independent growth and differentiation of malignant cells in preleukemic and leukemic disease states is a well-recognized phenomenon and is often associated with a poor prognosis. Mast cells are distinct hematopoietic cells and express a unique profile of antigens. Growth and differentiation of normal mast cells is dependent on mast cell growth factor (MGF), the ligand of the c-kit protooncogene product. In this study, we screened for mast cell-lineage involvement in 52 patients suffering from myeloid leukemias, myelodysplastic syndromes (MDS), systemic mastocytosis, or other diseases by probing for mast cell-related molecules (c-kit, tryptase, histamine, and MGF) and by analyzing kit ligand/MGF-independent growth of mast cells in long-term suspension culture. Of the 52 patients tested, 2 patients with refractory anemia with excess of blast cells in transformation and 1 patient suffering from chronic myeloid leukemia blast crisis (CML-BC) were diagnosed as mastocytic disease. These patients were characterized by complex chromosomal abnormalities, splenomegaly, high percentages of circulating metachromatic cells (5% to 25%), high levels of cellular tryptase (> 10 ng/10(5) peripheral blood mononuclear cells/mL) and a tryptase/histamine (ng:ng) ratio greater than 1. The metachromatic cells expressed the mast-cell-related surface antigen c-kit, but not basophil-related antigens (CD11b, CDw17). Furthermore, in these 3 patients, spontaneous, MGF-independent growth of mast cells along with spontaneous synthesis of tryptase was demonstrable in long-term culture. No autocrine production, paracrine production, or overproduction of MGF was found. The spontaneous growth of mast cells could neither be abbrogated by addition of monoclonal antibodies (MoAbs) to c-kit nor by MoAbs against MGF (< 5% inhibition), whereas factor (MGF)-dependent differentiation of mast cells in these patients could be abbrogated by MoAbs to c-kit or MoAbs to MGF (> 70% inhibition, P < .001). In addition, serum MGF levels in these patients were within the normal range and MGF could not be detected in cell-free culture supernatants. All 3 patients showed rapid progression of disease and had a survival time of less than 1 year. In conclusion, we describe a unique form of transformation in MDS and CML-BC characterized by mast cell lineage involvement and factor-independent differentiation of mast cells. This form of leukemic transformation has to be delineated from chronic myeloid leukemia with basophilia or basophil crisis, from primary mast cell leukemia, and from monocytic leukemias and myelodysplastic disorders associated with basophilia.
Cryptographic key management solution in a role hierarchy

This paper presents a cryptographic key management solution to solve the access control problem in the role hierarchy. Based on one-way hash functions, we propose an efficient key assignment and derivation method. This solution uses a limited number of keys and hash functions. Also, the dynamic access control problems, such as adding/deleting roles, or modifying relationships between roles in the role hierarchy are considered and can be resolved.
Kinetics of crystal nucleation of poly(L-lactic acid)

Abstract The kinetics of crystal nucleation of poly(L-lactic acid) (PLLA) has been analyzed by fast scanning chip calorimetry in a wide temperature range between 313 and 383 K, that is, between temperatures about 30 K below and 40 K above the glass transition temperature. The relaxed melt was rapidly cooled to the analysis temperature and subsequently aged between 10 −1 and 10 4  s, to permit formation of nuclei. The number of formed crystal nuclei has been probed by analysis of the crystallization rate at 393 K. The nucleation rate is maximal at 370–375 K and decreases monotonously with decreasing temperature in the analyzed temperature range. The observation of a monomodal dependence of the nucleation rate on temperature points to predominance of a single nucleation mechanism in the analyzed temperature range, regardless nucleation occurs in the glassy or devitrified amorphous phase. The collected data suggest that nuclei formation at ambient temperature requires a waiting time longer than about 10 8  s. The performed study is considered as a quantitative completion of nucleation-rate data available for PLLA only at temperatures higher than 360 K, suggesting that the nucleation mechanism is independent on temperature in the analyzed temperature range between 313 and 383 K.
Estimating relatedness via data compression

We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently related to benefit from multitask learning. We give uniform bounds in terms of the empirical average error for the true average error of the n hypotheses provided by deterministic learning algorithms drawing independent samples from a set of n unknown computable task distributions over finite sets.
A vehicle license plate detection method using region and edge based methods

In this paper, a license plate detection system is implemented. For this purpose, we improve the contrast at possible locations where there might be a license plate, we propose a filtering method called ''region-based'' in order to smooth the uniform and background areas of an image, we apply the Sobel operator and morphological filtering to extract the vertical edges and the candidate regions respectively, and finally, we segment the plate region by considering some geometrical features. In fact the novelty and the strength of our license plate detection system is in applying the region-based filtering that decreases the run time and increases the accuracy in the two final stages: morphological filtering and using the geometrical features. The experimental results show that our proposed method achieves appropriate performance in different scenarios. We should mention that our system is reliable because the accuracy is above 92% in average for different scenarios and it is also practical because of the low computational cost. An intelligent transportation system (ITS) is an important tool for analyzing and controlling the moving vehicles in cities and highways [1] and in recent years much research on ITS has been carried out. Nowadays automatic vehicle license plate (VLP) recognition is a key ingredient for any ITS such as security control of restricted areas, traffic law enforcements, automatic payment of tolls on highways and parking management systems. In these examples, a camera captures the vehicle images and a computer processes the captured images, detects the car license plate from the input image and then reads the information on the license plate by applying various image processing and optical character recognition techniques. Generally , an automatic VLP recognition system is made up of four modules: image pre-processing, license plate detection, character segmentation and character recognition (Fig. 1). Among these four modules in Fig. 1, license plate detection is the most important and the most difficult task in any VLP recognition system because of images with low contrast, blurring and dirty plates. The most common solutions for VLP detection include analyzing the texture [1,2], edge extraction [3–6], morphological filtering [7,8], color feature [7,9], combining of edge statistics and color feature [10], combining of edge and morphology operations [11], Hough transform [12], neural networks [6], learning-based approaches [13], Gabor filtering [14] and Wave-let analysis [15]. An edge approach is normally simple and fast. Texture [1,2] and edge based methods [3–6] are widely used …
How much is enough?: Data requirements for statistical NLP

Abstract Feeding training data to statistical representa-tions of language has become a popular past-time for computational linguists, but our un-derstanding of what constitutes a suﬃcientvolume of data remains shadowy. For ex-ample, Brown et al. (1992) used over 500million words of text to train their languagemodel. Is this enough? Could devouring evenmore data further improve the accuracy of themodel learnt? In this paperI explorea numberof issues in the analysis of data requirementsfor statistical NLP systems. 1 A framework forviewing such systems is proposed and a sam-ple of existing works are compared within thisframework. Finally, the ﬁrst steps toward atheory of data requirements are made by es-tablishing an upper bound on the expected er-ror rate of a class of statistical language learn-ers as a function of the volume of trainingdata. 1 Introduction Statistical approaches to natural languageprocessing are becoming increasingly popular,being applied to a wide variety of tasks. Forexample, Weischedel
Journey from Data Mining to Web Mining to Big Data

This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big data today using fast and novel approaches. Keywordsdata mining, web mining, big data
Energy Loss Estimation and Flow Simulation in the skimming flow Regime of Stepped Spillways with Inclined Steps and End Sill: A Numerical Model

Energy dissipaters in dams consider as expensive structures; therefore, economic design of these structure are desirable. Stepped spillways can be use as energy dissipater to reduce the size and cost of the stilling basin. Hard experimental works, high-cost and time-consuming laboratory methods brought about some difficulties to determine the most-efficient design of the steps. This research deals with comparing the two-dimensional numerical simulation and experimental description in stepped spillways equipped with inclined steps and end sill together and presents a quick, trustworthy, economical, and numerical approach to designing the steps. In complicated geometries, simulation is more problematic than simulation of flow in horizontal steps, because it needs more precision around the end sills. Finite volume method and the k-ε standard model are proposed to simulate the flow pattern and evaluate the energy loss over stepped spillway. The flow pattern and velocity vectors resulted from numerical simulation is in a good agreement with the experimental results. Also, energy losses resulted from the numerical approach have been compared with laboratory measurements and demonstrate reasonable agreement.
PARAMETER ESTIMATION INCORPORATING MODAL DATA AND BOUNDARY CONDITIONS

A new error function is introduced to use natural frequencies and associated mode shapes measured at a selected subset of degrees of freedom for stiffness and mass parameter estimation at the element level. The incomplete mode shapes are used to form the ‘‘modal stiffness-based error function’’ by condensing out the mode shapes at the unmeasured degrees of freedom. Structural modeling errors cannot be completely avoided in any analytical procedure that relies on finite-element models; however, some errors may be controlled. Two elements are used for the first time in parameter estimation to more accurately capture the structural behavior at complex interfaces, thus reducing error. First, the soil-substructure superelement is introduced into the parameter estimation and is intended to capture stiffness and mass properties of the foundation. Second, the partially restrained frame element enables connections to be modeled as partially restrained, in addition to the more traditional fixed or pinned assumptions. To examine the capability of the proposed parameter estimation algorithm, these two new elements are incorporated in a parameter estimation example using simulated modal data. In this example, stiffness and mass parameter estimates successfully converged to the ‘‘true’’ parameter values with no bias within the desired tolerance level. Such parameter estimates can be used for model updating and to establish a baseline for structural condition assessment.
A survey of Identity Management technology

This paper presents a survey of identity management from the perspectives of development stages and functions variety of Identity Management. The definition and core concepts of identity and identity management have been discussed deeply. Identity Management models including isolated model, centralized model, and federated model are grouped by components varying and functions changing. Based on the transformation of core design principles, paradigms of identity management are classified into network centric paradigm, service centric paradigm, and user centric paradigm. Comparisons of these paradigms and models have been presented. And we give a rough classification of current systems to the corresponding paradigms and models.
CinemaGazer: a system for watching videos at very high speed

This paper presents a technology that enables the watching of videos at very high speed. Subtitles are widely used in DVD movies, and provide useful supplemental information for understanding video contents. We propose a "two-level fast-forwarding" scheme for videos with subtitles, which controls the speed of playback depending on the context: very fast during segments without language, such as subtitles or speech, and "understandably fast" during segments with such language. This makes it possible to watch videos at a higher speed than usual while preserving the entertainment values of the contents. We also propose "centering" and "fading" features for the display of subtitles to reduce fatigue when watching high-speed video. We implement a versatile video encoder that enables movie viewing with two-level fast-forwarding on any mobile device by specifying the speed of playback, the reading rate, or the overall viewing time. The effectiveness of our proposed method was demonstrated in an evaluation study.
Detail control in line drawings of 3D meshes

We address the problem of rendering a 3D mesh in the style of a line drawing, in which little or no shading is used and instead shape cues are provided by silhouettes and suggestive contours. Our specific goal is to depict shape features at a chosen scale. For example, when mesh triangles project into the image plane at subpixel sizes, both suggestive contours and silhouettes may form dense networks that convey shape poorly. The solution we propose is to convert the input mesh to a multiresolution representation (specifically, a progressive mesh), then view-dependently refine or coarsen the mesh to control the size of its triangles in image space. We thereby control the scale of shape features that are depicted via silhouettes and suggestive contours. We propose a novel refinement criterion that achieves this goal and address the problem of maintaining temporal coherence of silhouette and suggestive contours when extracting them from a changing mesh.