Miracle-dz/UniFAR-FTUs huggingface dataset:
Dyslexia: A Neuroscientific Approach to Clinical Evaluation

The field of learning disabilities is receiving considerable public and academic scrutiny, as there is a growing perception of its pervasive relevance to human accomplishment and the quality of life throughout the age span. Relatively subtle central nervous system dysfunctions have been recognized as having a significant impact on school performance and behavioral adjustment in large numbers of children of normal intelligence. A new monograph, Dyslexia: A Neuroscientific Approach to Clinical Evaluation , edited by Frank H. Duffy, MD, and the late Norman Geschwind, MD, is an informative and provocative volume that presents a number of perspectives on the "cutting edge" of this field. The central theme of this collection of papers (originally presented at a symposium on dyslexia in 1981) concerns some newer insights and techniques dealing with the mechanisms underlying specific reading disabilities. The emphasis is on medically oriented approaches, although two of the reports probe linguistic issues in
Tumour promoting activity of plants used in Malaysian traditional medicine.

One hundred plants in 43 families used in Malaysian traditional medicine were screened for tumour promoting activity using two methods, the technique of activation of latent Epstein-Barr Virus (EBV) in Raji cells and the irritation test on mouse ear. Extracts of only eight plants belonging to the Euphorbiaceae were found to possess EBV activation factor and to give a positive irritation test in mouse ear. These plants included Euphorbia tirucalli L. , E. splendes, Jatropha podagrica, J. gossypyfolia L. , Pedilanihus tithymaloides (L.) Poitt. , Croton argyratus Bl. , Exocoecaria agallocha L. and Codiaeum variegatum (L.) Bl. Seven of these plants are used internally in Malaysian traditional medicine. As such, they pose potential danger in the promotion of initiated cells of the mucosal tissue towards disease. Further studies are required to assess the epidemiological impact of these plants in the development of disease.
An Innovation in Multi-model Biometric Techniques

In this paper gives an overview of working, challenges of face recognition and fingerprint recognition system. Multi-model recognition system is better as compare to single model because if one model is intruded another template is used. The paper presents the details of 3D face model acquisition and its recognition techniques. Challenges faced in face recognition system leads to 3D face recognition system. Different level of threats to the biometric system is discussed. Spoofing techniques are discussed on the basis of cooperative and non-cooperative methods so that the anti-spoofing techniques can be developed on the basis of hardware and software.
Textiles, basketry, and cordage from Jazirat Fara'un (Coral Island)

Etude de fragments de tissus et de cordages decouverts a Jazirat Fara'un (Coral Island). A partir de la ceramique et d'une analyse au radiocarbone, les AA proposent une datation des epoques Ayyubide (recent) et Mamelouk (ancien), ce qui correspond aux XIIe et XIIIe s. ap. J.-C. Les AA s'attachent a decrire la decoration de ces tissus, les differentes matieres utilisees (laine, lin, soie, coton.), les types de cordage et deduisent une grande variete d'objets, de techniques et de teintes. Une etude comparee est alors proposee avec d'autres sites d'autres pays tels l'Egypte, la Syrie qui etaient reliees entre elles par cette ile de la Mer Rouge et a conduit les AA a se pencher sur l'origine de tels objets.
A Thousand Families in Newcastle-Upon-Tyne

Sir James Spence, whose recent death was such a loss to British medicine, has many memorials in the form of his contributions to knowledge; a significant memorial is that of this account of the "thousand family survey" which he inaugurated and inspired. He guided the book, which is the story of the survey, almost to the point of publication and so, as the authors state, it is a memorial "largely of his own fashioning. " This survey started in 1947 and through it, all babies born in Newcastle upon Tyne in May and June were studied against the family and social background. Much was learned about health and illness during the first year of life, about family doctoring, about the importance of the front line team, the health visitor, home help, home nurse and sanitary inspector. It answered many queries whether our health services meet the real needs of children; the needs for happy and stable life, a competent mother, reasonable income, adequate housing and employment. "Fortunately more than 80 per cent, of the families can manage their own affairs if they have a house to live in, and a good neighbour, a nurse, a school teacher, a priest, or a doctor to come to their aid when necessary. " He found that less than ten per cent, of mothers were 26
HIGH-PERFORMANCE REAL-TIME FIR-FILTERING USING FAST CONVOLUTION ON GRAPHICS HARDWARE

In this paper we examine how graphic hardware can be used for real-time FIR filtering. We implement uniformly-partitioned fast convolution in the frequency-domain and evaluate its performance on a NVIDIA GTX 285 graphics card. Motivated by audio rendering for virtual reality, our focus lies on large-scale realtime filtering with a multitude of channels, long impulse responses and low latencies. Graphics hardware has already been used for audio signal processing — including FIR and IIR filtering with respect to offline and real-time processing. However, the combination of GPU computing and real-time conditions leads to a number of challenges that have not been reviewed in detail. The new contribution of this paper is an implementation and detailled analysis of a frequency-domain fast convolution method on GPUs. We discuss specific problems that emerge under real-time conditions. Our method allows to achieve an outstanding real-time filtering performance. In this work, we do not only regard a timeinvariant filtering, but also time-varying filtering, where filters are exchanged during runtime. Furthermore, we examine the opportunities of distributed computation — using CPU and GPU — in order to maximize the performance. Finally, we identify bottlenecks and explain their impact on filter exchange latencies and update rates.
Constraint-driven transliteration discovery

This paper introduces a novel constraint-driven learning framework for identifying named-entity (NE) transliterations. Traditional approaches to the problem of discovering transliterations depend heavily on correctly segmenting the target and the transliteration candidate and on and aligning these segments. In this work we propose to formulate the process of aligning segments as a constrained optimization problem. We consider the aligned segments as a latent feature representation and show how to infer an optimal latent representation and how to use it in order to learn an improved discriminative transliteration classifier. Our algorithm is an EM-like iterative algorithm that alternates between an optimization step for the latent representation and a learning step for the classifier’s parameters. We apply this method both in supervised and unsupervised settings, and show that our model can significantly outperform previous methods trained using considerably more resources.
Linguistic investigations into formal description of Slavic languages : contributions of the Sixth European Conference held at Potsdam University, November 30-December 02, 2005

Formal Slavic Linguistics investigates all linguistic levels and their interfaces. The contributions of the FDSL VI Conference in Potsdam 2005 are concerned with the explicit description and explanation of prosody, information structure, phonology, morphology, syntax and semantics, applying recent developments of the Principles and Parameters Framework, OT, HPSG and formal Semantics. The authors analyze also issues in psycholinguistics, language acquisition and computational linguistics.
An Effective K-Nearest Neighbor Track Retrieval Algorithm

Due to the mass track data accumulated day by day, new challenges are raised for traditional information retrieval. This paper studies the issue of k-nearest neighbor track retrieval facing moving object, and converts this issue into aggregate Top-k query issue of information retrieval field. A parallel TA algorithm in random access database is proposed, and it has effectively solved the issue of k-nearest neighbor track retrieval. Performance of this algorithm is verified through a large number of experiments.
Analysis of Electromyographic Activities of Erect Spinae at Different Height of Table during Ultrasound Therapy Work

The higher table heights was, the lower %RVC of the T10, T12, L2, L4 erect spinae at both sides. The left and right T10, T12 and the left L4 showed significant differences. The lower the spinal level was, the higher %RVC of both erect spinae at 45cm, 56.2cm, 67.5cm. The left erect spinae at 56.2cm, right erect spinae at 45cm, 67.5cm showed significant differences.
Pattern-Oriented Design Composition and Mapping for Cross-Platform Web Applications

In the context of cross-platform Web applications, Pattern-Oriented Design (POD) proposes that developers use proven solutions emerging from best design practices in order to solve common design problems. In addition, it requires composing patterns to create a platform-independent design and then mapping these pattern-oriented designs to specific platforms. This prevents the designer from reinventing the wheel and can have positive implications on system performance, scalability and usability. In this paper, we introduce different types of Web design patterns, as well as different composition and mapping rules to design a multi-platform Web application. We discuss why patterns are a suitable means for creating and mapping a Web design to new platforms while maintaining usability.
Global Real Estate Mutual Funds: Managerial Skills and Diversification Benefits?

This paper examines the performance and the diversification benefits of U.S.-registered, active, global real estate mutual funds (GREMFs). It considers both the industry as a whole and 76 individual funds, relative to a global and to a domestic benchmark, and before and net of expenses. We estimate alpha, the conditional outperformance, and use the cross-sectional wild bootstrap method to separate funds with genuine skills from merely lucky ones. We find that the actively-managed GREMF industry, as a whole, displays no skills to beat either the global or the domestic benchmarks, even before deduction of expenses. The latter result suggests that there is no benefit from international real estate investment. We also undertake recursive estimates of alpha and conclude that, after an initial period when there were fewer than five funds, there has been no evidence of skills. At the individual fund level, against the global benchmark, we find only one skilled fund but only before expenses are deducted; and, against the domestic benchmark, we find one after the deduction of expenses. Against both benchmarks, we find a number of funds which display a significant lack of skills rather than bad luck, particularly once expenses are taken into account. We undertake a series of robustness checks, including using different benchmarks, and conclude that our results are robust. We also explore possible explanations of performance and conclude that it is linked to over-weighting portfolios in countries/regions with higher economic growth and better investor protection.
Phase unwrapping of SAR interferograms after wavelet denoising

Obtaining a digital elevation model (DEM) with the help of synthetic aperture radar (SAR) interferometry requires 2D phase unwrapping known to be sensitive to noise. Especially the existence of local inconsistencies of the data, referred to as residues, slows down the convergence of typical unwrapping algorithms and introduces inaccuracies into the computed results, affecting directly terrain height inversion. This suggests applying the computationally efficient Donoho wavelet denoising technique with the complex interferogram as input, preserving the lines of phase discontinuity (fringes) and yielding filtered images of good visual quality. The authors examine the quantitative effects of this pre-processing.
Journal Impact Factor Histogram Equalization to Compare Journal Performance across Subject Categories

The journal impact factor was devised by Eugene Garfield as a way to count the impact of scientific and research journals. The journal impact factors are computed yearly for all journals that are indexed in Thomson Reuters Journal Citation Reports. This journal impact factor concept is purely research area dependant . People usually disregards this fact while comparing two or more journals from different subjects or categories. Different variants of impact factor have been proposed by different researches to address the problem of subject category dependency. The concept of histogram was introduced by Karl Pearson. The histogram equalization is very useful operation in image processing. Details of histogram equalization can be found in any image processing related book. In the image processing, histogram equalization is a method which uses image histogram to do contrast adjustment. We proposed here, a very simple and elegant method, journal impact factor histogram equalization for finding overall position of a journal across subject categories and to solve the problem of the subject category specificity of citation dynamics of Thomson Reuters Impact factor.
Ties Strength and Knowledge Transfer: Investigation of Innovation Diffusion in Co-Authorship Networks

This study investigates the factors affecting the output of authors' cooperation. This cooperation can have a crucial role in the development of economics and technology in different fields. The investigated factors can create outputs that are more innovative and lead to better performance of intra-alliance and inter-alliance networks. The focus of this study is on transferring or exchanging intra information resources at the ego (small groups embedded in a network) and dyad levels of cooperation (individuals embedded in a group) shaped as an egocentric network using social network theory. The theory explains the effect that the strength of interpersonal ties at the dyad level has on knowledge exchange by considering how redundant information can be when it is received by an ego in networks. The authors of this paper demonstrate differences of information diffusion depending on the strength of interpersonal ties created by first authors. This study considered results of 206 studies in two areas of social science (economics and tourism) through an examination of quantitative data extracted from the Web of Science using the Histcite software. Amos was used for testing mediation effects, and SPSS version 23 was used to analyze the data via Hierarchal Learner Modeling (HLM) methodology.
A framework for optimistic program optimization

The problem of program optimization is a non-trivial one. Compilers do a fair job, but can't always deliver the best performance. The expressibility of general-purpose languages is limited, not allowing programmers to describe expected run time behavior, for example, and some programs are thus more amenable to optimization than others, depending on what the compiler expects to see. We present a generic framework that allows addressing this problem in two ways: through specifying verifiable source annotations to guide compiler analyses, and through optimistically using some assumptions and analysis results for the subset of the program seen so far. Two novel applications are presented, one for each of the above approaches: a dynamic optimistic interprocedural type analysis algorithm, and a mechanism for specifying immutability assertions. Both applications result in measurable speedups, demonstrating the feasibility of each approach.
Section 4. CONTRAST INDUCED ACUTE KIDNEY INJURY

a. We recommend using either iso-osmolar or low-osmolar iodinated contrast media, rather than high-osmolar iodinated contrast media, in patients at increased risk of CI-AKI. (1B) Since iohexol use as an intra-arterial injection in patients with preexisting renal impairment is associated with an increase in CI-AKI risk when compared to iodixanol, we suggest avoiding iohexol use in this high risk setting. (1B) b. We recommend IV volume expansion with isotonic saline or sodium bicarbonate, rather than no IV volume expansion, in patients at increased risk for CI-AKI. (1A) We suggest that isotonic sodium bicarbonate for IV volume expansion is at least equivalent to isotonic sodium chloride in prevention of CI-AKI. (2A) c. We suggest oral route of hydration may be beneficial compared to fasting state in reducing the risk of CI-AKI in patients at increased risk for CI-AKI. (2C) d. We suggest that the use of oral NAC, in addition to IV isotonic crystalloids, in patients at increased risk for CI-AKI is not of proven benefit. (2A) e. We recommend not using prophylactic intermittent haemodialysis (IHD) or hemofiltration (HF) for contrast media removal in patients at increased risk for CI-AKI. (1C)
Scientific Research Paper Ranking Algorithm PTRA: A Tradeoff between Time and Citation Network

Most of the scientific research engines utilize the same way to rank scientific research papers (SRP), this way is highly depend on the citation network. The retrieved results of these engines for any keyword contain old papers with the highest citation value. In this paper, we proposed a new and easy to implement ranking algorithm for scientific research papers known as Paper Time Ranking Algorithm (PTRA). PTRA is a new ranking algorithm that depends on three factors to rank its results; paper age, citation index and publication venue. To construct and prove our ranking algorithm we created a web crawler that crawl different scientific search papers databases in the world to collect the information that PTRA needs. Unfortunately, some of this information was missing, such as, the impact factor of the journals. To collect this information, we created another crawler that search the Internet for these journals impact factors. However, to prove our ranking algorithm results, we have compared PTRA with Google scholar ranking algorithm. We used Google scholar, since it has more than 50 million papers and its own system can gather and collect papers in a faster way. Our comparison results show that, citation index has the highest impact on Google scholars ranking algorithm results. Unlike PTRA that gains the paper age a higher impact on the ranked results. However, PTRA depends on the citation index and publication venue to rank the results but with less impact than the paper age.
A SECURE IMAGE STEGANOGRAPHY USING LEAST SIGNIFICANT BIT TECHNIQUE

1Steganography is a science of hiding messages into multimedia documents. A message can be hidden in a document only if the content of a document has high redundancy. Although the embedded message changes the characteristics and nature of the document, it is required that these changes are difficult to be identified by an unsuspecting user. On the other hand, steg analysis develops theories, methods and techniques that can be used to detect hidden messages in multimedia documents. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications may require absolute invisibility of the secret information, while others require a large secret message to be
Design & Verification of UniPro Protocols for Mobile Phones

UniPro, as an abstract standardized interface, interconnects the variety of devices within a mobile phone and hides the complexity of a heterogeneous environment. UniPro is a combination of chip-to-chip connectivity and TCP-like protocols. Thus, new protocols are defined and verified! This thesis helps in the design and verification of two basic UniPro protocols. The first one, the UniPro Sliding Window (USW) protocol, is implemented for flow control and reliability of UniPro, in the data link layer. The second protocol is built on the transport layer and is responsible for setting up and closing a connection between two nodes. Furthermore, we extend the connection management protocol for congestion control. So, link reservations are required before a new connection is set up. The connection bandwidth is reserved through the routers. In this Master’s thesis, we implement 3 different models for our protocols in order to check their correctness properties. The models are described in the Promela specification language, which can be input to both model checkers: Spin (used on a single machine) and DiVinE (which distributes the work load to multiple nodes). All models are fully verified in Spin or DiVinE.
On Distributed Resource Allocation in Fully Meshed Satellite Networks

− The national German research project Mobile Satellite communication in Ka-band (MoSaKa) addresses the growing interest in advanced heterogeneous satellite communication in Ka-band frequencies. In the framework of the project, a satellite communication system has been defined and developed which implements fully meshed connectivity among all stationary and mobile terminals and is dedicated to security, crisis, and rescue applications. In this paper we describe the adaptive and flexible resource allocation mechanism of MoSaKa which is distributed among the physical layer, data link layer and network layer.
Mechanisms of Noncompletion in Ethnographic Research on Drugs: Results from a Secondary Analysis

We reviewed case files from two longitudinal ethnographic field studies of drug users in order to examine mechanisms of noncompletion. We explored two general mechanisms, including investigator initiated termination and subject initiated withdrawal. Subjects were terminated when patterns of incoherent or inconsistent responses were detected in interviews; subjects were also terminated when they stole from the field site or when they were jailed or hospitalized. The findings suggest that the initial phases of interviewing served as an important subject screening period for the researchers conducting the interviews. Most noncompletion in both studies fell under the category of subject initiated withdrawal. Analyses suggested that respondents who dropped out reported significantly less drug involvement and somewhat less extensive criminal involvement than those who completed the study. Women who dropped out were more likely to be married than women who completed the study. Men who dropped out were less likely to reside in shelters for the homeless than men who remained in the study. Our behavioral findings sharply contrast with findings from studies of attrition in conventional panel research on drug use. Implications for research on hidden populations are discussed. These findings suggest some important limitations in ethnographic research and underscore the importance of systematic descriptive accounts of noncompletion across a range of ethnographic studies.