Miracle-dz/UniFAR-FTUs huggingface dataset:
A Knowledge Adoption Model Based Framework for Finding Helpful User-Generated Contents in Online Communities

Many online communities allow their members to provide information helpfulness judgments that can be used to guide other users to useful contents quickly. However, it is a serious challenge to solicit enough user participation in providing feedbacks in online communities. Existing studies on assessing the helpfulness of user-generated contents are mainly based on heuristics and lack of a unifying theoretical framework. In this article we propose a text classification framework for finding helpful usergenerated contents in online knowledge-sharing communities. The objective of our framework is to help a knowledge seeker find helpful information that can be potentially adopted. The framework is built on the Knowledge Adoption Model that considers both content-based argument quality and information source credibility. We identify 6 argument quality dimensions and 3 source credibility dimensions based on information quality and psychological theories. Using data extracted from a popular online community, our empirical evaluations show that all the dimensions improve the performance over a traditional text classification technique that considers word-based lexical features only.
Phylogenetic structure of the prokaryotic domain: The primary kingdoms

A phylogenetic analysis based upon ribosomal RNA sequence characterization reveals that living systems represent one of three aboriginal lines of descent: (i) the eubacteria, comprising all typical bacteria; (ii) the archaebacteria, containing methanogenic bacteria; and (iii) the urkaryotes, now represented in the cytoplasmic component of eukaryotic cells.
Urban peer-to-peer MIMO channel measurements and analysis at 300 MHz

Multiple-input multiple-output (MIMO) systems operating at frequencies in the upper VHF and lower UHF region is attractive for peer-to-peer communication applications where robustness is of high importance, e.g., in tactical networks and emergency response systems. When designing and evaluating such systems, knowledge of realistic propagation conditions is required. This paper presents results from an urban MIMO measurement campaign at 300 MHz. Measurements are performed along 25 receiver routes and for three fixed transmitter locations, using antenna arrays mounted on two cars. Channel characteristics and ergodic capacity for the 7 times 7 MIMO channels are extracted from the measured data. A path-loss model is derived for the measured scenario, and the distributions of the large-scale fading, the Ricean K-factor, the delay spread, and the ergodic capacity are studied in detail. The correlation distance for the different channel parameters is also examined. Furthermore, the analysis reveals that several of the channel parameters are correlated, and also have a strong correlation with the capacity.
Adaptive Wavelet Galerkin Methods for Linear Inverse Problems

We introduce and analyze numerical methods for the treatment of inverse problems, based on an adaptive wavelet Galerkin discretization. These methods combine the theoretical advantages of the wavelet-vaguelette decomposition (WVD) in terms of optimally adapting to the unknown smoothness of the solution, together with the numerical simplicity of Galerkin methods. In a first step, we simply combine a thresholding algorithm on the data with a Galerkin inversion on a fixed linear space. In a second step, a more elaborate method performs the inversion by an adaptive procedure in which a smaller space adapted to the solution is iteratively constructed; this leads to a significant reduction of the computational cost.
Toward an understanding of late life suicidal behavior: the role of lifespan developmental theory

Objectives: Suicidal behavior in late life differs in important ways from suicidal behavior that occurs earlier in the lifespan, suggesting the possibility of developmental differences in the etiology of suicidal behavior. This paper examines late life suicidal behavior within the context of lifespan developmental theory. Methods: This paper presents a conceptual framework for using lifespan developmental theory to better understand late life suicidal behavior. Results: We argue that the motivational theory of lifespan development, which focuses on control, is particularly relevant to late life suicide. This theory posits that opportunities to exert control over important aspects of one's life diminish in late life as a result of declines in physical functioning and other factors, and that successful aging is associated with adaptive regulation of this developmental change. Although continued striving to meet goals is normative throughout the lifespan, most individuals also increase the use of compensatory strategies in old age or when faced with a decline in functioning. We propose that individuals who do not adapt to developmental changes by altering their strategies for exerting control will be at risk for suicidal behavior in late life. This paper reviews evidence that supports the importance of control with respect to suicidal outcomes in older adults, as well as findings regarding specific types of control strategies that may be related to suicide risk in older adults with health-related limitations. Conclusion: Although suicidal behavior is not a normal part of aging, the application of lifespan developmental theory may be useful in understanding and potentially preventing suicide among older adults.
Design and Optimization of Existing Automotive Seat Recliner

The Recliner is a mechanism which allows the seat back to rotate forward & rearward direction from a pivot point at the base of the seat back according to the passenger’s seating comfort. The aim of this paper is to design and optimise the existing automotive seat recliner subjected to loading. The scope of the present work involves Finite Element Modelling of Seat recliner assembly using HYPERMESH. Pre-processing steps such as updating of element type, material properties, application of loads and Boundary conditions is performed using HYPERMESH. The element type considered for the analysis is SHELL. The input file compatible to ANSYS platform is created using HYPERMESH and the same file is imported into ANSYS Platform. The results in the form of stress and deformation are extracted using ANSYS. The factor of safety for assembly is calculated based on Von Misses theory of Failure. Optimization is done in terms of reduction in its weight and there by the cost of the seat recliner assembly. Thickness of various components of recliner assembly satisfies the strength criteria and the factor of safety which is within the allowable limits.
A system for efficient full-text retrieval

A load detecting device for a generator driven by an engine and supplying power to a load includes a rotary angle detector for producing a pulse signal at every predetermined rotary angle of the generator or engine, a load detector for detecting a load current of the generator, and an output unit for receiving the outputs from the rotary angle detector and load detector, and outputting a load signal of the generator. The load detector produces a voltage signal corresponding to a detected load current. The load signal output unit takes out a voltage value of the voltage signal from the load detector at every rotary angle capable of detecting a load change on the base of the pulse signal from the rotary angle detector, and outputs said voltage value as the load signal.
Cloning of Cutinase Transcription Factor 1, a Transactivating Protein Containing Cys6Zn2 Binuclear Cluster DNA-binding Motif*

Hydroxy fatty acids from plant cutin were shown previously to induce the expression of the cutinase gene via a palindromic sequence located at −159 base pairs of the cutinase gene in Fusarium solani f. sp. pisi (Nectria hematococca mating type VI). Of the two overlapping palindromes in this sequence, palindrome 2 was found to be essential for the inducibility of cutinase by hydroxy fatty acids. Screening of a phage expression library with the concatenated palindrome 2 as probe detected a distinct cDNA clone encoding a polypeptide designated cutinase transcription factor 1α (CTF1α) with a calculated molecular weight of 101,109. This protein contains a Cys6Zn2binuclear cluster motif sharing homology to the Cys6Zn2 binuclear cluster DNA-binding domains of transcription factors from Saccharomyces cerevisiae,S. carlsbergensis, Kluyveromyces lactis,Neurospora crassa, Aspergillus nidulans, and A. flavus. CTF1α, expressed in Escherichia coli,showed specific binding to the palindrome 2 DNA fragment but not to palindrome 1 or mutant palindrome 2 DNA fragments, suggesting specific binding of CTF1α to palindrome 2. When CTF1α was expressed as a fusion protein with the nuclear localization sequence of SV40 in yeast, it transactivated the native cutinase promoter fused to the chloramphenicol acetyl transferase (cat) gene. Mutation of palindrome 2 but not palindrome 1 abolished this transactivation. Thus, CTF1α positively acts in vivo by binding selectively to palindrome 2 of the cutinase gene promoter.
Automatic Discovery of API-Level Vulnerabilities

A system is vulnerable to an API-level attack if its security can be compromised by invoking an allowed sequence of operations from its API. We present a formal framework to model and analyze APIs, and develop an automatic technique based upon bounded model checking to discover API-level vulnerabilities. If a vulnerability exists, our technique produces a trace of API operations demonstrating an attack. Two case studies show the efficacy of our technique. In the first study we present a novel way to analyze printf-family format-string attacks as API-level attacks, and implement a tool to discover them automatically. In the second study, we model a subset of the IBM Common Cryptographic Architecture API, a popular cryptographic key-management API, and automatically detect a previously known vulnerability.
NetworkTrace: Probabilistic Relevant Pattern Recognition Approach to Attribution Trace Analysis

Network attack prevention is a critical research area of information security. Network attacks would become choked if attribution techniques are capable of tracing back to the attacker after the hacking event. Therefore, attributing these attacks to a person or organization turns into one of the important tasks when analysts attempt to profile the attacker behind attack traces. To facilitate this process, we research on the connections among attribution traces and propose methods based on probabilistic relevance. First, we present a two-layer NetworkTrace frame, then based on relevance patterns, we propose the existence probability of concerned subjects. At last, we quantify the connection relevance between subjects through a Ref algorithm. By means of analyzing the attribution traces extracted from APT1 report, we illustrate the effectiveness of the existence probability algorithm. Then, we demonstrate Ref's effectiveness in quantifying the relevancies between organization and its affinitive partners by analyzing the relevancies and draw relevance matrix between APT1 inodes. The results show the proposed NetworkTrace facilitates the evaluation of the plausibility relevance between different traceable subjects.
Bayesian inference of indoor scenes using composite object models

Indoor scene understanding from monocular images has received much recent interest [4, 6, 8], as advancements in recovering the 3D indoor geometry have enabled several interesting applications, such as predicting human activities [2] and identifying objects [5] in the context of the estimated 3D scene. Recent methods achieved promising reconstruction results by using a simple 3D model [4, 6, 8], where both the scene layout and the objects in it are approximated with right-angled parallelepipeds (3D boxes). Typically, a single box is used to approximate the walls, floor and ceiling enclosing the scene (room box), and also to model an object inside it, such as a bed or a table.
Implementing network file system policies with FileWall

Managing network file systems in large deployments is a critical challenge facing administrators today. Network file systems are widely used, are standardized, and provide acceptable performance. These systems are designed for the least common denominator of functionality, across all deployments to enable widespread use across diverse client systems. Unfortunately, specific deployment scenarios require different policies that govern file system access. The rigid structure of current network file systems makes modifying policies and mechanisms equally difficult. In this paper, we present a novel approach to implement network file system policies through message transformation, exter-nal to clients and servers. We present FileWall, a file system proxy, through which administrators can easily extend network file system policies for monitoring, access control, maintenance, and semantic extensions. We also present a policy specification language, FWL, which allows administrators to specify policies in a few lines, without being encumbered with implementation details. We have implemented FileWall using the Click modular router framework for the NFS protocol, and present solutions for four real-world administrative problems using our system — maintaining per-client file system statistics, implementing temporal access control, improving file handle security, and supporting client transparent failover. Through our evaluation, we show that FileWall imposes minimal delays, the interposition overheads are low, and the performance of FileWall is comparable to a simple network tunnel.
Controller design and region of attraction estimation for nonlinear dynamical systems

This work presents a method to obtain inner and outer approximations of the region of attraction of a given target set as well as an admissible controller generating the inner approximation. The method is applicable to constrained polynomial dynamical systems and extends to trigonometric and rational systems. The method consists of three steps: compute outer approximations, extract a polynomial controller while guaranteeing the satisfaction of the input constraints, compute inner approximations with respect to the closed-loop system with this controller. Each step of the method is a convex optimization problem, in fact a semidefinite program consisting of minimizing a linear function subject to linear matrix inequality (LMI) constraints. The inner approximations are positively invariant provided that the target set is included in the inner approximation and/or is itself invariant.
A Sin 22 Theorem for Graded Indeenite Hermitian Matrices 1 Date and Revision Information Go Here a Sin 22 Theorem for Graded Indeenite Hermitian Matrices

This paper gives double angle theorems that bound the change in an invariant subspace of an inde nite Hermitian matrix in the graded form H = D AD subject to a perturbation H ! e H = D (A + A)D. These theorems extend recent results on a de nite Hermitian matrix in the graded form (Linear Algebra Appl., 311 (2000), 45{60) but the bounds here are more complicated in that they depend on not only relative gaps and norms of A as in the de nite case but also norms of so-called the hyperbolic eigenvector matrices of certain associated matrix pairs. For two special but interest cases, bounds on these hyperbolic eigenvector matrices are obtained to show that their norms are of moderate magnitude. This report is available on the web at http://www.ms.uky.edu/~rcli/. 2(University Osijek, Croatia) Lehrgebiet Mathematische Physik, Fernuniversitat, 58084 Hagen Germany (Ninoslav.Truhar@Fernuni-Hagen.de). 3Department of Mathematics, University of Kentucky, Lexington, KY 40506 (rcli@ms.uky.edu). This work was supported in part by the National Science Foundation under Grant No. ACI-9721388 and by the National Science Foundation CAREER award under Grant No. CCR-9875201. A sin 2 Theorem for Graded Inde nite Hermitian Matrices Ninoslav Truhar Ren-Cang Li
Robot Task Planning Based on State Semantic Network

The generation of robot task planning is a challenging issue in uncertain and dynamic real world. Semantic knowledge can be used to support the task planning of robots as a source of implied knowledge. At present, many literatures elaborate semantic networks, which integrate spatial information and semantic information, and use semantic knowledge to carry out robot task planning. Aiming at the demand of automatic robot task planning, this paper improved the semantic network with the trend of the development of the current semantic network. This paper proposed a state semantic network (SSN) based on state machine and semantic network. The state semantic network is a semantic network composed of semantic objects with current state information, and the current state information of the objects in the SSN is determined by the state machine associated with the semantic network objects. In the case of reasoning based on the state semantic network objects, only when the object being reasoned and its current state satisfy specific conditions, can the reasoned object be iterated as a semantic object associated with the current object that conforms to the particular condition, and achieves further reasoning.
The effectiveness of an additional lingual infiltration in the pulpal anesthesia of mandibular teeth: a systematic review.

OBJECTIVES The aim of this systematic review is to investigate the effect of an additional lingual infiltration on the pulpal anesthesia of mandibular teeth. METHOD AND MATERIALS Prospective clinical trials were searched from Medline, EMBASE, Cochrane Library, Pubmed, SCI, and the China National Knowledge Infrastructure. Papers that met the inclusion criteria were accepted. Data was extracted by two investigators using a designed extraction form. The anesthetic efficacy of an additional lingual infiltration on the pulpal anesthesia of mandibular teeth was analyzed. RESULTS Seven prospective randomized controlled trials were included. All subjects of these studies were volunteers with healthy pulps, without patients with pulpitis. Compared to buccal infiltration alone, an additional lingual infiltration following buccal infiltration is more likely to achieve a successful pulpal anesthesia in the mandibular incisor area, with a relative risk for success of 2.00 [1.08, 3.72] for 2% lidocaine and 1.32 [1.15, 1.51] for 4% articaine. For mandibular canines and premolars, the additional lingual infiltration following inferior alveolar nerve block did not enhance the anesthetic efficacy. In the mandibular molar area, no significant difference was found after an additional lingual infiltration with either 2% lidocaine or 4% articaine. CONCLUSION An additional lingual infiltration following buccal infiltration can enhance the anesthetic efficacy compared with buccal infiltration alone in the mandibular incisor area. For mandibular canines, premolars, and molars, an additional lingual infiltration is not recommended, since no data exist to support such usage. Lingual infiltration of articaine in the mandibular teeth with pulpitis should be studied further.
An Enzyme‐Linked Immunosorbent Assay for the Quantitative Determination of Anti‐D in Plasma Samples and Immunoglobulin Preparations

Here we present an enzyme‐linked immunosorbent assay (ELISA) on microtiter plates for the quantitative determination of anti‐D. This method is based on the solubilization of red blood cells sensitized with anti‐D and the subsequent measurement of immunoglobulin G by ELISA. The measuring range of the assay is 40–5,000 IU/ml and the lowest quantifiable concentration in plasma is 0.5 IU/ml. The interassay relative standard deviation for concentrations above 130 IU/ml ranges from 3.2 to 8.1% and below 50 IU/ml from 10.5 to 19.7%. Comparison of ELISA with automated hemagglutination shows that the results of the two assays correlate well: r = 0.992, n = 26. The assay was validated for donor plasma samples and anti‐D immunoglobulin preparations and it can also be used in assessing the severity of Rh (D) hemolytic disease during pregnancy.
Sex-specific maternal effects in a viviparous fish

Mothers vary in their effects on their offspring, but studies of variation in maternal effects rarely ask whether differences between mothers are consistent for sons and daughters. Here, we analysed maternal effects in the mosquitofish Gambusia holbrooki for development time and adult size of sons and daughters, and a primary male sexual character (gonopodium length). We found substantial maternal effects on all traits, most notably for gonopodium length. There were significant correlations within each sex for maternal effects on different traits, indicative of trade-offs between development rate and adult size. By contrast, there was no evidence of any consistency in maternal effects on sons and daughters. This suggests that the evolution of maternal effects will follow independent trajectories dependent on sex-specific selection on offspring. Importantly, failure to recognize the sex-specific nature of maternal effects in this population would have substantially underestimated the extent of their variation between mothers.
Scalable Keyword Search on Big RDF Data

Keyword search is a useful tool for exploring large RDF datasets. Existing techniques either rely on constructing a distance matrix for pruning the search space or building summarization from the RDF graphs for query processing. In this work, we show that existing techniques have serious limitations in dealing with realistic, large RDF graphs with tens of millions of triples. Furthermore, the existing summarization techniques may also return incorrect results. To address these issues, we propose a new, succinct and effective summarization from the underlying RDF data. Given a keyword query, the summarization lends significant pruning powers to exploratory keyword search and leads to much better efficiency compared to previous work. Unlike existing summarization techniques, our summarization always returns exact results and can be updated incrementally and efficiently. Experiments on both benchmark and large real RDF datasets show that our techniques are highly scalable and efficient.
Effect of Exogenous and Endogenous Antioxidants on 3‐Nitropionic Acid‐Inducedin vivo Oxidative Stress and Striatal Lesions

Abstract: 3‐Nitropropionic acid (3‐NP) is an irreversible inhibitor of complex II in the mitochondria. 3‐NP toxicity has gained acceptance as an animal model of Huntington's disease (HD). In the present study, we confirmed that rats injected with 3‐NP (20 mg/kg, i.p., daily for 4 days) exhibit increased oxidative stress in both striatum and cortical synaptosomes as well as lesions in the striatum. Synaptosomal membrane proteins from rats injected with 3‐NP exhibited a decrease in W/S ratio, the relevant electron paramagnetic resonance (EPR) parameter used to determine levels of protein oxidation, and western blot analysis for protein carbonyls revealed direct evidence of increased synaptosomal protein oxidation. Treatment of rats with the brain‐accessible free radical spin trap 5‐diethoxyphosphoryl‐5‐methyl‐1‐pyrroline N‐oxide (DEPMPO; 30 mg/kg, i.p., daily 2 h before 3‐NP injection) or with N‐acetylcysteine (NAC; 100 mg/kg, i.p., daily 2 h before 3‐NP injection), a known glutathione precursor, before 3‐NP treatments protects against oxidative damage induced by 3‐NP as measured by EPR and western blot analysis for protein carbonyls. Furthermore, both DEMPMPO and NAC treatments before 3‐NP administration significantly reduce striatal lesion volumes. These data suggest oxidative damage is a prerequisite for striatal lesion formation and that antioxidant treatment may be a useful therapeutic strategy against 3‐NP neurotoxicity and perhaps against HD as well.