LLukas22/scidocs huggingface dataset:
Noxes: a client-side solution for mitigating cross-site scripting attacks

Web applications are becoming the dominant way to provide access to on-line services. At the same time, web application vulnerabilities are being discovered and disclosed at an alarming rate. Web applications often make use of JavaScript code that is embedded into web pages to support dynamic client-side behavior. This script code is executed in the context of the user's web browser. To protect the user's environment from malicious JavaScript code, a sand-boxing mechanism is used that limits a program to access only resources associated with its origin site. Unfortunately, these security mechanisms fail if a user can be lured into downloading malicious JavaScript code from an intermediate, trusted site. In this case, the malicious script is granted full access to all resources (e.g., authentication tokens and cookies) that belong to the trusted site. Such attacks are called cross-site scripting (XSS) attacks.In general, XSS attacks are easy to execute, but difficult to detect and prevent. One reason is the high flexibility of HTML encoding schemes, offering the attacker many possibilities for circumventing server-side input filters that should prevent malicious scripts from being injected into trusted sites. Also, devising a client-side solution is not easy because of the difficulty of identifying JavaScript code as being malicious. This paper presents Noxes, which is, to the best of our knowledge, the first client-side solution to mitigate cross-site scripting attacks. Noxes acts as a web proxy and uses both manual and automatically generated rules to mitigate possible cross-site scripting attempts. Noxes effectively protects against information leakage from the user's environment while requiring minimal user interaction and customization effort.
Arm movements effect on ultra wideband on-body propagation channels and radio systems

This paper presents experimental investigation of ultra wideband on-body radio channel in both the anechoic chamber and indoor environments including effects of time varying movements of various body parts on the the channel characteristics. Measured data are used to extract radio propagation channel parameters and investigate the influence of body movements on derived channel models. These models are applied in conjunction with different modulation techniques commonly used for impulse radios to evaluate the system performance of on-body UWB radio systems. Bit error rate and signal-to-noise ratio studies show that careful considerations need to be taken when choosing the modulation technique for optimal ultra wideband body-centric systems.
Tahoe: the least-authority filesystem

Tahoe is a system for secure, distributed storage. It uses capabilities for access control, cryptography for confidentiality and integrity, and erasure coding for fault-tolerance. It has been deployed in a commercial backup service and is currently operational. The implementation is Open Source.
A Petri Net Meta-Model to Develop Software Components for Embedded Systems

Abstract This paper presents a new Petri net (PN) meta-model, called shobi-PN v2.0, that can be used to specify the dynamic behaviour of concurrent systems, using object-oriented modelling concepts together with a generalised arc set capable of coping with the complexity of the current embedded systems. This new Petri net meta-model can also be used to support a component-based development approach in the design of generic and parametrisable control-oriented software components for embedded systems.
Diastereomers of the Brominated Flame Retardant 1,2-Dibromo-4-(1,2 dibromoethyl)cyclohexane Induce Androgen Receptor Activation in the HepG2 Hepatocellular Carcinoma Cell Line and the LNCaP Prostate Cancer Cell Line

BACKGROUND
Reported incidences of prostate cancer and masculinization of animals indicate a release of compounds with androgenic properties into the environment. Large numbers of environmental pollutants have been screened to identify such compounds; however, not until recently was 1,2-dibromo-4-(1,2-dibromoethyl)cyclohexane (TBECH) identified as the first potent activator of the human androgen receptor (hAR). TBECH has been found in beluga whales and bird eggs and has also been found to be maternally transferred in zebrafish.


OBJECTIVES
In the present study we investigated interaction energies between TBECH diastereomers (alpha, beta, gamma, and delta) and the hAR, and their ability to activate the receptor and induce prostate-specific antigen (PSA) expression in vitro.


METHODS
We performed computational modeling to determine interaction energies between the ligand and the AR ligand-binding site, and measured in vitro competitive binding assays for AR by polarization fluorometry analysis. We used enzyme-linked immunosorbent assays to determine PSA activity in LNCaP and HepG2 cells.


RESULTS
We found the gamma and delta diastereomers to be more potent activators of hAR than the alpha and beta diastereomers, which was confirmed in receptor binding studies. All TBECH diastereomers induced PSA expression in LNCaP cells even though the AR present in these cells is mutated (T877A). Modeling studies of LNCaP AR revealed that TBECH diastereomers bound to the receptor with a closer distance to the key amino acids in the ligand-binding domain, indicating stronger binding to the mutated receptor.


CONCLUSIONS
The present study demonstrates the ability of TBECH to activate the hAR, indicating that it is a potential endocrine disruptor.
Prospect Theory

Prospect theory is a descriptive theory of how individuals choose among risky alternatives. The theory challenged the conventional wisdom that economic decision makers are rational expected utility maximizers. We present a number of empirical demonstrations that are inconsistent with the classical theory, expected utility, but can be explained by prospect theory. We then discuss the prospect theory model, including the value function and the probability weighting function. We conclude by highlighting several applications of the theory.
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems

A new efficient optimization method, called ‘Teaching–Learning-Based Optimization (TLBO)’, is proposed in this paper for the optimization of mechanical design problems. This method works on the effect of influence of a teacher on learners. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The population is considered as a group of learners or a class of learners. The process of TLBO is divided into two parts: the first part consists of the ‘Teacher Phase’ and the second part consists of the ‘Learner Phase’. ‘Teacher Phase’ means learning from the teacher and ‘Learner Phase’ means learning by the interaction between learners. The basic philosophy of the TLBO method is explained in detail. To check the effectiveness of the method it is tested on five different constrained benchmark test functions with different characteristics, four different benchmark mechanical design problems and six mechanical design optimization problems which have real world applications. The effectiveness of the TLBO method is compared with the other populationbased optimization algorithms based on the best solution, average solution, convergence rate and computational effort. Results show that TLBO is more effective and efficient than the other optimization methods for the mechanical design optimization problems considered. This novel optimization method can be easily extended to other engineering design optimization problems. © 2011 Elsevier Ltd. All rights reserved.
Influenza vaccination of pregnant women and protection of their infants.

BACKGROUND
There are limited data on the efficacy of vaccination against confirmed influenza in pregnant women with and those without human immunodeficiency virus (HIV) infection and protection of their infants.


METHODS
We conducted two double-blind, randomized, placebo-controlled trials of trivalent inactivated influenza vaccine (IIV3) in South Africa during 2011 in pregnant women infected with HIV and during 2011 and 2012 in pregnant women who were not infected. The immunogenicity, safety, and efficacy of IIV3 in pregnant women and their infants were evaluated until 24 weeks after birth. Immune responses were measured with a hemagglutination inhibition (HAI) assay, and influenza was diagnosed by means of reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays of respiratory samples.


RESULTS
The study cohorts included 2116 pregnant women who were not infected with HIV and 194 pregnant women who were infected with HIV. At 1 month after vaccination, seroconversion rates and the proportion of participants with HAI titers of 1:40 or more were higher among IIV3 recipients than among placebo recipients in both cohorts. Newborns of IIV3 recipients also had higher HAI titers than newborns of placebo recipients. The attack rate for RT-PCR-confirmed influenza among both HIV-uninfected placebo recipients and their infants was 3.6%. The attack rates among HIV-uninfected IIV3 recipients and their infants were 1.8% and 1.9%, respectively, and the respective vaccine-efficacy rates were 50.4% (95% confidence interval [CI], 14.5 to 71.2) and 48.8% (95% CI, 11.6 to 70.4). Among HIV-infected women, the attack rate for placebo recipients was 17.0% and the rate for IIV3 recipients was 7.0%; the vaccine-efficacy rate for these IIV3 recipients was 57.7% (95% CI, 0.2 to 82.1).


CONCLUSIONS
Influenza vaccine was immunogenic in HIV-uninfected and HIV-infected pregnant women and provided partial protection against confirmed influenza in both groups of women and in infants who were not exposed to HIV. (Funded by the Bill and Melinda Gates Foundation and others; ClinicalTrials.gov numbers, NCT01306669 and NCT01306682.).
MELD score: utility and comparison with King's College criteria in non-acetaminophen acute liver failure.

OBJECTIVE
To compare Model for End-stage Liver Disease Score (MELD Score, MS) and King's College Hospital (KCH) criteria for finding correlation of mortality in non-acetaminophen induced acute liver failure (NAI-ALF).


STUDY DESIGN
An analytical cross-sectional study.


PLACE AND DURATION OF STUDY
The Aga Khan University Hospital, Karachi, from 2005 to 2007.


METHODOLOGY
The study included patients with NAI-ALF. KCH criteria were labelled as good and bad prognosis groups. MELD score were calculated by using the MELD calculator. ROC was plotted and sensitivity analysis was done. ETA was used to see correlation between MELD and KCH.


RESULTS
Ninety-one patients with mean age of 32.5 + 16.3 years were studied; 49 were males (54%). Out of these, 57 patients died (63%); two leading causes of non-acetaminophen induced acute liver failure (NAI-ALF) were hepatitis hepatitis B virus (HBV) (n = 30, 33%) followed by hepatitis E virus in (n = 23, 25.3%). According to King's College Hospital (KCH) criteria, 50 patients (88%) who died had bad prognosis and 24 patients (70.6%) who survived had good prognosis. The ROC determined MELD score of 32 was the best predictor of mortality with sensitivity and specificity of 79% and 71%, respectively and positive predictive value (PPV) and negative predictive values (NPV) of 82% and 67% respectively. There was significant association between mortality and bad prognosis according to KCH criteria (p < 0.001). Overall mean MELD score (MMS) was 35.35 + 8.64. MMS on admission was 38 + 7.32 in patients who died and 30.7 + 8.77 in those who survived (p = < 0.001). MMS correlated equally with KCH criteria (ETA = 0.52).


CONCLUSION
The admission MELD score has an excellent utility and correlates equally with KCH criteria for mortality in NAI- ALF.
Implementing Fault-Tolerant Services Using the State Machine Approach: A Tutorial

The state machine approach is a general method for implementing fault-tolerant services in distributed systems. This paper reviews the approach and describes protocols for two different failure models—Byzantine and fail stop. Systems reconfiguration techniques for removing faulty components and integrating repaired components are also discussed.
Rethinking Stress in Parents of Preterm Infants: A Meta-Analysis

BACKGROUND
With improved medical outcome in preterm infants, the psychosocial situation of their families is receiving increasing attention. For parents, the birth of a preterm infant is generally regarded as a stressful experience, and therefore many interventions are based on reducing parental stress. Nevertheless, it remains unclear whether parents of children born preterm experience more stress than parents of term-born children, which would justify these interventions. This meta-analysis provides a comprehensive account of parental stress in parents of preterm infants, from birth of the infant through to their adolescence. Mean levels of stress in specific domains of family functioning were investigated, and stress levels in parents of preterm and term infants, and fathers and mothers of preterm infants, were compared. Furthermore, we investigated moderators of parental stress.


METHODS AND FINDINGS
A random-effects meta-analysis was conducted including 38 studies describing 3025 parents of preterm (<37 wk) and low birth weight (<2500 g) infants. Parental stress was measured with two parent-reported questionnaires, the Parenting Stress Index and the Parental Stressor Scale: Neonatal Intensive Care Unit. The results indicate that parents of preterm-born children experience only slightly more stress than parents of term-born children, with small effect sizes. Furthermore, mothers have slightly more stress than fathers, but these effect sizes are also small. Parents report more stress for infants with lower gestational ages and lower birth weights. There is a strong effect for infant birth year, with decreasing parental stress from the 1980s onward, probably due to increased quality of care for preterm infants.


CONCLUSIONS
Based on our findings we argue that prematurity can best be regarded as one of the possible complications of birth, and not as a source of stress in itself.
Deferoxamine promotes MDA-MB-231 cell migration and invasion through increased ROS-dependent HIF-1α accumulation.

BACKGROUND/AIM
Deferoxamine (DFO), an iron chelator, has been reported to induce hypoxia-inducible factor-1α (HIF-1α) expression. HIF-1α plays a critical role in promoting tumor metastasis. However, the molecular mechanisms underlying induction of HIF-1α in breast cancer cells remain unknown. Our aim was to ascertain whether DFO enhanced cancer metastasis in MDA-MB-231 cells.


METHODS
Cellular reactive oxygen species (ROS) was measured by flow cytometry. Cell migration was determined by wound healing and transwell assays. Protein and mRNA expression were detected by western blotting and RT-PCR, respectively.


RESULTS
DFO treatment enhanced cell migration and invasion, while HIF-1α expression was significantly up-regulated at the post-transcriptional level. However, treatment with a NADPH oxidase inhibitor, diphenyleneiodonium (DPI), strongly inhibited ROS generation and HIF-1α expression, as well as cell migration and invasion. Notably, DFO treatment increased extracellular signal-regulated kinase (ERK)1/2 phosphorylation. Inhibition of ROS production with DPI attenuated DFO-induced ERK1/2 activation. Moreover, a MEK1 inhibitor, PD98059, suppressed DFO-induced cell migration and invasion.


CONCLUSION
DFO-induced HIF-1α expression involves a cascade of signaling events including ROS generation, activation of ERK signaling, and subsequent promotion of cell migration and invasion. These findings indicate a risk associated with DFO and other iron chelators for treatment of tumors with invasive potential.
Silicon-Organic and Plasmonic-Organic Hybrid Photonics

Chip-scale integration of electronics and photonics is recognized as important to the future of information technology, as is the exploitation of the best properties of electronics, photonics, and plasmonics to achieve this objective. However, significant challenges exist including matching the sizes of electronic and photonic circuits; achieving low-loss transition between electronics, photonics, and plasmonics; and developing and integrating new materials. This review focuses on a hybrid material approach illustrating the importance of both chemical and engineering concepts. Silicon−organic hybrid (SOH) and plasmonic−organic hybrid (POH) technologies have permitted dramatic improvements in electro-optic (EO) performance relevant to both digital and analog signal processing. For example, the voltage−length product of devices has been reduced to less than 40 Vμm, facilitating device footprints of <20 μm operating with digital voltage levels to frequencies above 170 GHz. Energy efficiency has been improved to around a femtojoule/bit. This improvement has been realized through exploitation of field enhancements permitted by new device architectures and through theory-guided improvements in organic electro-optic (OEO) materials. Multiscale theory efforts have permitted quantitative simulation of the dependence of OEO activity on chromophore structure and associated intermolecular interactions. This has led to new classes of OEO materials, including materials of reduced dimensionality and neat (pure) chromophore materials that can be electrically poled. Theoretical simulations have helped elucidate the observed dependence of device performance on nanoscopic waveguide dimensions, reflecting the importance of material interfaces. The demonstration and explanation of the dependence of in-device electro-optic activity, voltage−length product, and optical insertion loss on device architecture (e.g., slot width) suggest new paradigms for further dramatic improvement of performance.
Supplementation of cottonseed, linseed, and noug seed cakes on feed intake, digestibility, body weight, and carcass parameters of Sidama goats

A digestibility, feed intake, and carcass evaluation experiment using 20 yearling intact male Sidama goats weighing 16.4 ± 0.63 kg (mean ± SD) was conducted in Ethiopia with the objectives to determine feed intake, digestibility, body weight (BW) gain, and carcass parameters. The treatments included feeding natural pasture hay (T1, control) and supplementation with cottonseed cake (284 g—T2), linseed cake (250 g—T3), and noug seed cake (296 g—T4) on dry matter (DM) basis to supply 85 g crude protein (CP) per head per day. Randomized complete block design for feed intake and BW parameters and complete randomized design for digestibility and carcass parameters were used. Hay DM intake was higher (P < 0.01) for T1 than for the other treatments. T3 promoted higher (P < 0.01) DM (29.3 g/kg W0.75/day) and CP (14.1 g/kg W0.75/day) intake than T4 (8.9 g/kg W0.75/day DM and 4.1 g/kg W0.75/day CP). T3 showed better (P < 0.05) organic matter and CP digestibility than T2. Goats in T3 had higher nitrogen intake (P < 0.01) and retention (P < 0.05) than those in T1. Goats in T2 and T3 showed higher (P < 0.05) daily BW gain and final BW than those in T4 and T1. Goats in T2 and T3 had higher (P < 0.05) slaughter weight, empty BW, hot carcass weight, rib-eye muscle area, and dressing percentage on slaughter weight basis than those in T1. The results showed that T2 and T3 had similar effect on CP intake, daily BW gain, and carcass parameters for growing Sidama goats fed natural pasture hay.
Evaluating patients with vertigo: bedside examination

Dizzines and vertigo are common complaints in patients referred for neurological evaluation. With a basic understanding of vestibular physiology and proper examination techniques, a correct diagnosis can generally be made at the bedside. This article reviews the most common peripheral and central vestibular syndromes as well as the key elements of the bedside vestibular system examination.
Linking Career Development Practices to Turnover Intention: the Mediator of Perceived Organizational Support

This study investigates the mediating role of perceived organizational support (POS) in linking career development practices (CDP) with turnover intention with 357 Malaysian knowledge workers. Data were collected from four different knowledge intensive industries, namely finance, information technology (IT), engineering, and education. Under individual perception of long-term CDP, structural equation modeling analysis revealed that POS completely mediates perceptions of career development opportunities, supervisory support, and internal promotion among knowledge workers. Career orientation and cultural influences of the perception of organizational support by Malaysian knowledge workers in the workplace and the impact towards human resource management policies are discussed. Introduction Organizational support theory has received a lot of attention in its examination of the employee-employer suggested that individual attitudes and behaviors are affected by generalized perception of care and support from organizations. Employees feel obliged to repay organization with extra effort and loyalty when such favorable supportive treatments are discretionary-Defined as " employees' global beliefs concerning the extent to which organization values their contributions and cares about their well-being " , it is termed perceived organizational support (POS). To date, POS literature has been widely examined in relation to human resource (HR) policies with the aim of understanding employees' behavior and attitudes. Yet the mechanisms of how POS exerts influence on important HR policies and the mechanism to explain turnover intentions in knowledge-intensive organizations require further investigation.
Bangladeshi Vehicle Digital License Plate Recognition for Metropolitan Cities Using Support Vector Machine

Bangladeshi vehicle digital license plate recognition system using support vector machine for metropolitan cities (i.e. Dhaka, Chittagong) is presented in this paper. The proposed system divided into three major partslicense plate detection, plate character segmentation and character recognition. Experiments have been done for this proposed framework. More than 1000 images taken from various scenes are used, including diverse angles, different lightening conditions and complex scenes. In the first phase, Sobel operator and histogram analysis is used to detect the license plate region. Then, connected component labeling and bounding box technique used to segment the characters of detected license plate region. After that, Gabor filter is applied on the segmented characters to acquire desired character features. Since feature vector obtained using Gabor filter is in a high dimension, to reduce the dimensionality a nonlinear dimensionality reduction technique that is Kernel PCA has been used. Finally, Support Vector Machine has been used for classification. The experimental results show that proposed method can correctly recognize the license plate characters. Keywords-vehicle digital license plate detection; morphology; Sobel operator; connected component labeling; Gabor filter; Kernel PCA; Support Vector Machine.
Developing Intelligent Manufacturing Systems Using Collaborative Agents

Agent technology has been considered as an important approach for developing distributed intelligent manufacturing systems. This paper presents some preliminary results of our two ongoing research projects related to the development of a new collaborative agent system architecture for intelligent manufacturing systems. The main features of the proposed architecture are described; some domain independent mechanisms and components are briefly introduced; and a case study is presented.