Miracle-dz/UniFAR-FTUs huggingface dataset:
Webpage Ranking Algorithms Second Exam Report

The traditional link analysis algorithms exploit the context information inherent in the hyperlink structure of the Web, with the premise being that a link from page A to page B denotes an endorsement of the quality of B. The exemplary PageRank algorithm weighs backlinks with a random surfer model; Kleinberg’s HITS algorithm promotes the use of hubs and authorities over a base set ; Lempel and Moran traverse this structure through their bipartite stochastic algorithm; Li examines the structure from head to tail, counting ballots over hypertext. Semantic Web and its inspired technologies bring new core factors into the ranking equation. While making continuous effort to improve the importance and relevancy of search results, Semantic ranking algorithms strive to improve the quality of search results: (1) The meaning of the search query; and (2) The relevancy of the result in relation to user’s intention. The survey focuses on an overview of eight selected search ranking algorithms.
TALENT : Dynamic Platform Heterogeneity for Cyber Survivability of Mission Critical Applications ∗

Despite the significant amount of effort that often goes into securing mission critical systems, many remain vulnerable to advanced, targeted cyber attacks. In this work, we design and implement TALENT (Trusted dynAmic Logical hEterogeNeity sysTem), a framework to livemigrate mission critical applications across heterogeneous platforms. TALENT enables us to change the hardware and operating system on top of which a sensitive application is running, thus providing cyber survivability through platform diversity. Using containers (a.k.a. operating systemlevel virtualization) and a portable checkpoint compiler, TALENT creates a virtual execution environment and migrates a running application across different platforms while preserving the state of the application. The state, here, refers to the execution state of the process as well as its open files and sockets. TALENT is designed to support a general C application. By changing the platform on-the-fly, TALENT creates a moving target against cyber attacks and significantly raises the bar for a successful attack against a critical application. Our measurements show that a full migration can be completed in about one second.
Multidimensional Inequality: An Empirical Application to Brazil*

This paper illustrates two empirical approaches to the measurement of multidimensional inequality. The first approach is based on the analysis of the independent distribution of monetary and nonmonetary welfare attributes. The second approach considers pair-wise joint distributions of those attributes, hence allowing for differences in the various distributions, as well as possible correlations between the attributes. The analysis is based on household survey data from Brazil for 1996. We focus on inequalities in income, education, health and political participation outcomes. We calculate the extent of vertical and horizontal monetary and non-monetary inequalities, examine the determinants of both types of inequality and analyse their impact on household welfare. Our results show that economic analyses based solely on the distribution of income variables will not portray fully the degree of socio-economic and political inequalities in Brazil. In fact, traditional analysis of inequality may overestimate the extent of inequality, as education and other non-monetary welfare attributes appear to be more equally distributed in Brazil than income. JEL codes: C23, D31, D63, I19, I29, O12, O54.
What we need to know when performing and interpreting US elastography

According to the increasing need for accurate staging of hepatic fibrosis, the ultrasound (US) elastography techniques have evolved significantly over the past two decades. Currently, US elastography is increasingly used in clinical practice. Previously published studies have demonstrated the excellent diagnostic performance of US elastography for the detection and staging of liver fibrosis. Although US elastography may seem easy to perform and interpret, there are many technical and clinical factors which can affect the results of US elastography. Therefore, clinicians who are involved with US elastography should be aware of these factors. The purpose of this article is to present a brief overview of US techniques with the relevant technology, the clinical indications, diagnostic performance, and technical and biological factors which should be considered in order to avoid misinterpretation of US elastography results.
An automated, yet interactive and portable DB designer

Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it involves searching a vast space of possible configurations. Commercial DBMSs offer tools that can address this problem. The usefulness of such tools, however, is limited by their dependence on greedy heuristics, the need for a-priori (offline) knowledge of the workload, and lack of an optimal materialization schedule to get the best out of suggested design features. Moreover, the open source DBMSs do not provide any automated tuning tools. This demonstration introduces a comprehensive physical designer for the PostgreSQL open source DBMS. The tool suggests design features for both offline and online workloads. It provides close to optimal suggestions for indexes for a given workload by modeling the problem as a combinatorial optimization problem and solving it by sophisticated and mature solvers. It also determines the interaction between indexes to suggest an effective materialization strategy for the selected indexes. The tool is interactive as it allows the database administrator (DBA) to suggest a set of candidate features and shows their benefits and interactions visually. For the demonstration we use large real-world scientific datasets and query workloads.
DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors

We are presenting a hybrid MT approach in the WMT2016 Shared Translation Task for the IT-Domain. Our work consists of several translation components based on rule-based and statistical approaches that feed into an informed selection mechanism. Additions to last year’s submission include a WSD component, a syntactically-enhanced component and several improvements to the rule-based component, relevant to the particular domain. We also present detailed human evaluation on the output of all translation components, focusing on particular systematic errors.
A Novel method of Walsh-Hadamard Code Generation using Reconfigurable Lattice filter and its application in DS-CDMA system

Walsh Hadamard codes are widely used as signature codes in the current wireless standards such as IS-95 CDMA, WCDMA, CDMA2000, and image transform applications. It is also used in conjunction with error correction algorithms for Reed-Muller codes and in dyadic invariant signal processing. In this paper, a novel method of generating Walsh Hadamard(WH) codes using lattice filter is proposed. The obtained results concur with the properties of WH code. The entire WH code set can be generated by changing the reflection coefficients without modifying the filter structure. This feature ensures reconfigurability and enables them to be used in software radio. Moreover, this reconfigurable structure can be used as a matched filter for multiuser detection in Direct Sequence Code division Multiple Access System (DS-CDMA). BER performance of a DSCDMA system employing a correlator receiver and the proposed matched filter receiver for despreading is simulated in an AWGN channel and flat fading Rayleigh channel. Simulation results showing the generation of WH codes from the autoregressive model of first order Gauss-Markov process is also obtained. Key-Words: Software defined radio, Walsh Hadamard codes, Lattice filter, Matched filter, Autoregressive model, Gauss-Markov process.
Parametrisation of Coloured Petri Nets

In this paper we propose a conceptual framework for parametrisation of Coloured Petri Nets --- a first step towards the formulation and formalisation of Parametric Coloured Petri Nets. We identify and characterise three useful kinds of parametrisation, namely value, type, and net structure parameters. While the two former kinds are simple to design the latter kind is more complex, and in this context we describe how net structure parametrisation naturally induces concepts like modules and scope rules. The framework is applied to a non-trivial example from the domain of flexible manufacturing. Finally we discuss implementation issues.
High Stem Cell Frequency in Acute Myeloid Leukemia at Diagnosis Predicts High Minimal Residual Disease and Poor Survival

Purpose: In CD34-positive acute myeloid leukemia (AML), the leukemia-initiating event originates from the CD34+CD38− stem cell compartment. Survival of these cells after chemotherapy may lead to minimal residual disease (MRD) and subsequently to relapse. Therefore, the prognostic impact of stem cell frequency in CD34-positive AML was investigated. Experimental Design: First, the leukemogenic potential of unpurified CD34+CD38− cells, present among other cells, was investigated in vivo using nonobese diabetic/severe combined immunodeficient mice transplantation experiments. Second, we analyzed whether the CD34+CD38− compartment at diagnosis correlates with MRD frequency after chemotherapy and clinical outcome in 92 AML patients. Results:In vivo data showed that engraftment of AML blasts in nonobese diabetic/severe combined immunodeficient mice directly correlated with stem cell frequency of the graft. In patients, a high percentage of CD34+CD38− stem cells at diagnosis significantly correlated with a high MRD frequency, especially after the third course of chemotherapy. Also, it directly correlated with poor survival. In contrast, total CD34+ percentage showed no such correlations. Conclusions: Both in vivo data, as well as the correlation studies, show that AML stem cell frequency at diagnosis offers a new prognostic factor. From our data, it is tempting to hypothesize that a large CD34+CD38− population at diagnosis reflects a higher percentage of chemotherapy-resistant cells that will lead to the outgrowth of MRD, thereby affecting clinical outcome. Ultimately, future therapies should be directed toward malignant stem cells.
Prevalence and factors of self‐corrective intention among Hong Kong secondary school students who are self‐assessed Internet addiction cases

BACKGROUND Adolescent Internet addiction (IA) is prevalent. No study, however, has applied the health belief model (HBM) to investigate issues on IA nor investigated factors associated with intention to correct one's perceived IA problem (self-corrective intention). Such information facilitates design of related interventions, which are warranted. METHODS This cross-sectional study surveyed 9,618 Chinese secondary school students in Hong Kong; 4,111 (42.7%) self-assessed that they had IA (self-assessed IA cases); 1,145 of these self-assessed IA cases (27.9%) were also classified as IA cases (concordant IA cases), as their Chen Internet Addiction Scale score exceeded 63. RESULTS The prevalence of self-corrective intention among these two subsamples was only 28.2% and 34.1%, respectively. In the self-assessed IA subsample, the HBM constructs including perceived susceptibility to IA [adjusted odds ratio (ORa) = 1.24, 95% CI = 1.16, 1.34], perceived severity of IA (ORa = 2.28, 95% CI = 2.09, 2.48), perceived benefits for reducing Internet use (ORa = 1.21, 95% CI = 1.18, 1.24), self-efficacy to reduce Internet use (ORa = 1.07, 95% CI = 1.03, 1.11), and cues to action to reduce Internet use (ORa = 1.15, 95% CI = 1.11, 1.20) were positively, while perceived barriers for reducing Internet use (ORa = 0.95, 95% CI = 0.94, 0.97) were negatively, associated with self-corrective intention. Similar factors were identified in the concordant IA subsample. CONCLUSIONS A large proportion of the students perceived that they had IA but only about one-third intended to correct the problem. Future interventions may consider altering students' HBM constructs, and focus on the segment of concordant IA with self-corrective intention, as they show readiness for changes.
Completeness Proof by Semantic Diagrams for Transitive Closure of Accessibility Relation

We treat the smallest normal modal propositional logic with two modal operators 2 and 2+. While 2 is interpreted in Kripke models by the accessibility relation R, 2+ is interpreted by the transitive closure of R. Intuitively the formula 2+φ means the infinite conjunction 2φ ∧ 22φ ∧ 222φ ∧ · · · . There is a Hilbert style axiomatization of this logic (a characteristic axiom is 2φ ∧ 2+(φ → 2φ) → 2+φ, called “induction axiom”), and its completeness with respect to finite models was shown by the canonical model method. This paper gives an alternative proof of this completeness. We use the method of “semantic diagram”, which is a variant of semantic tableaux, as follows. Given an unprovable formula φ, we first make a small model (consisting of one world that forces φ to be false); then we add worlds step by step using the Hilbert system as an oracle, and finally we get a finite countermodel for φ. The point is how to handle 2+ in this construction.
NEURAL TORQUE CONTROLLERS FOR TRAJECTORY TRACKING PROBLEM OF A NONHOLONOMIC MOBILE ROBOT

In this paper, a trajectory tracking control for a nonholonomic mobile robot by the integration of a kinematic controller and torque controllers is investigated. The proposed neural torque controllers (PNTCs) are based on a Gaussian radial basis function neural network (RBFNN) modeling technique, which are used to compensate the mobile robot dynamics, and bounded unknown disturbances. Also, the PNTCs are not dependent of the robot dynamics neither requires the off-line training process. The stability analysis and the convergence of tracking errors, as well as the learning algorithm for weights are guaranteed with basis on Lyapunov theory. In addition, the simulations results shows the efficiency of the PNTCs.
The Improved VQ Algorithm for Speaker Recognition

VQ is a universal algorithm for speaker recognition. In this paper, we propose an improved VQ algorithm with the new weighted measure, which takes into account the correlations between inter- and intra- space of vectors. A series of Matlab experiments are implemented, and the experiment results show that the new VQ algorithm enhances the speaker difference and boosts the rate of the speaker recognition.
GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds

This paper presents a novel gold standard of German noun-noun compounds (Ghost-NN) including 868 compounds annotated with corpus frequencies of the compounds and their constituents, productivity and ambiguity of the constituents, semantic relations between the constituents, and compositionality ratings of compound-constituent pairs. Moreover, a subset of the compounds containing 180 compounds is balanced for the productivity of the modifiers (distinguishing low/mid/high productivity) and the ambiguity of the heads (distinguishing between heads with 1, 2 and >2 senses
Response inhibition and associative learning: Training stimulus specific response inhibition

Response inhibition, which refers to the ability to cancel an already initiated motor response, is often considered to be a hallmark of Executive Control. The popular view conceptualises these control processes as deliberate and top-down. However, what if you have cancelled the same response (say stopping at a pedestrian crossing) to a given stimulus (in this example the red do not cross pictogram) many times before? Does the resulting action cancellation remain an exclusively top down act of control, or does it become bottom-up with practise. Research suggests that repeatedly pairing a stimulus with withholding a response results in slowed reaction times and a decreased probability of responding, even when no longer appropriate (a phenomenon first reported by Verbruggen & Logan, 2008a). This thesis attempts to answer this question from an associative learning perspective: Asking if repeatedly pairing a stimulus with action cancellation results in stimulus-stop associations. Chapter One introduces current perspectives on response inhibition, the dualprocess model of associative learning, and a theoretical framework that attempts to integrate these areas. Chapters Two and Three ask what is learnt when a stimulus is repeatedly paired with stopping in response inhibition task: Specifically, Chapter Two investigate the contribution of stimulus detection. Chapter Three asks whether subjects are learning not to respond or withhold and provides evidence for the feature-positive effect in stimulus-stop learning. Chapter Four investigates the role of explicit expectancies and incidental associations in this form of learning, whilst also exploring whether transcranial direct current stimulation can enhance the acquisition of stimulus-stop associations. Both Chapters Five and Six investigate how stimulus-stop training may transfer to other tasks and behaviours with a specific focus on why stimuli tend to be devalued after stimulus-stop training. Finally, Chapter Seven relates the findings of each respective chapter back to the theoretical model introduced in Chapter One.
Oncogenesis of Rhabdomyosarcoma Insulin-like Growth Factor II and PAX 3-FKHR Cooperate in the Updated Version

The mouse myoblast C2C12 cell line transfected singly with cDNA for Pax-3, PAX3-FKHR, or insulin-like growth factor (IGF) II or cotransfected with IGF-II plus Pax-3 or with IGF-II plus PAX3-FKHR genes showed an altered morphology, a lack of differentiation, and higher proliferation rates m vitro. On s.c. injection into nude mice, tumors grew from transfected cell lines but not from cells transfected with the empty vector. Tumors derived from IGF-II/PAX3-FKHRand IGF-II-transfected cells grew most rapidly. Cotransfection of IGF-II plus Pax-3 in duced tumors comprised highly differentiated striated muscle cells; Pax-3, PAX3-FKHR, or IGF-II transfection produced tumors at varying stages of differentiation. Tumors derived from IGF-II plus PAX3-FKHR-COtransfected cells were composed of undifferentiated cells. This was the only tumor type to infiltrate the underlying muscle. The most angiogenesis and the least apoptosis were observed in the latter tumors. These results support the hypothesis that PAX3-FKHR interacts with IGF-II to play a critical role in the oncogenesis of rhabdomyosarcoma.
Mining Association Rules in Big Data for E-healthcare Information System

Big data related to large volume, multiple ways of growing data sets and autonomous sources. Now the big data is quickly enlarged in many advanced domains, because of rapid growth in networking and data collection. The study is defining the E-Healthcare Information System, which needs to make logical and structural method of approaching the knowledge. And also effectually preparing and controlling the data generated during the diagnosis activities of medical application through sharing information among E-Healthcare Information System devices. The main objective is, A E-Healthcare Information System which is extensive, integrated knowledge system designed to control all the views of a hospital operation, such as medical data's, administrative, financial, legal information's and the corresponding service processing. At last the analysis of result will be generated using Association Mining Techniques which processed from big data of hospital information datasets. Finally mining techniques result could be evaluated in terms of accuracy, precision, recall and positive rate.
Kernel methods and regularization techniques for nonparametric regression : Minimax optimality and adaptation

Regularization is an essential element of virtually all kernel methods for nonparametric regression problems. A critical factor in the effectiveness of a given kernel method is the type of regularization that is employed. This article compares and contrasts members from a general class of regularization techniques, which notably includes ridge regression and principal component regression. We first derive risk bounds for these techniques that match the minimax rates in several settings, using recent large deviations machinery and a natural bias-variance decomposition. We then show that certain regularization techniques are more adaptable than others to favorable regularity properties that the true regression function may possess. This, in particular, demonstrates a striking difference between kernel ridge regression and kernel principal component regression.
New insights into the pathophysiology of achalasia and implications for future treatment

Idiopathic achalasia is an archetype esophageal motor disorder, causing significant impairment of eating ability and reducing quality of life. The pathophysiological underpinnings of this condition are loss of esophageal peristalsis and insufficient relaxation of the lower esophageal sphincter (LES). The clinical manifestations include dysphagia for both solids and liquids, regurgitation of esophageal contents, retrosternal chest pain, cough, aspiration, weight loss and heartburn. Even though idiopathic achalasia was first described more than 300 years ago, researchers are only now beginning to unravel its complex etiology and molecular pathology. The most recent findings indicate an autoimmune component, as suggested by the presence of circulating anti-myenteric plexus autoantibodies, and a genetic predisposition, as suggested by observed correlations with other well-defined genetic syndromes such as Allgrove syndrome and multiple endocrine neoplasia type 2 B syndrome. Viral agents (herpes, varicella zoster) have also been proposed as causative and promoting factors. Unfortunately, the therapeutic approaches available today do not resolve the causes of the disease, and only target the consequential changes to the involved tissues, such as destruction of the LES, rather than restoring or modifying the underlying pathology. New therapies should aim to stop the disease at early stages, thereby preventing the consequential changes from developing and inhibiting permanent damage. This review focuses on the known characteristics of idiopathic achalasia that will help promote understanding its pathogenesis and improve therapeutic management to positively impact the patient’s quality of life.
Analysis of IL-1α(−889) and IL-1B(+3953) Gene Polymorphism in Syrian Patients with Aggressive Periodontitis: A Pilot Study

Polymorphisms in IL-1 gene have been suggested to influence transcription of IL-1α and IL-1B and thereby the pathophysiology of periodontitis. Using genotyping IL-1 test, a pilot study was conducted on 32 Syrian patients with aggressive periodontitis (AgP) and 35 healthy controls to investigate the association between the IL-1α(−889), IL-1B(+3953) gene polymorphisms and AgP among schoolchildren. The results revealed a similar distribution of genotypes between patients and controls, and did not support an association between IL-1 gene polymorphisms and AgP, however, the association was significant in male patients only. To determine and confirm any susceptible or resistant genes for AgP, future studies should use many target genes and well-defined related periodontal outcomes.