LLukas22/scidocs huggingface dataset:
URL Obfuscation Phishing and Anti-Phishing : A Review

Phishing is an internet fraud that acquires a user‘s credentials by deceptions. It includes theft of password, credit card number, bank account details, and other confidential information. It is the criminal scheme to steal the user‘s confidential data. There are many anti-phishing techniques used to protect users against phishing attacks. The statistical of APWG trends report for 1 st quarter 2013 says that now a day the maximum phishing attacks are done using URL Obfuscation phishing technique. Due to the different characteristics and methods used in URL Obfuscation, the detection of Obfuscated URL is complex. The current URL Obfuscation anti-phishing technique cannot detect all the counterfeit URLs. In this paper we have reviewed URL Obfuscation phishing technique and the detection of that Obfuscated URLs. Keywords— Anti-phishing, Hyperlink, Internet Security, Phishing, URL Obfuscation
Establishment and results of a magnetic resonance quality assurance program for the pediatric brain tumor consortium.

RATIONALE AND OBJECTIVES
Magnetic resonance (MR) imaging is used to assess brain tumor response to therapies, and a MR quality assurance (QA) program is necessary for multicenter clinical trials employing imaging. This study was performed to determine overall variability of quantitative imaging metrics measured with the American College of Radiology (ACR) phantom among 11 sites participating in the Pediatric Brain Tumor Consortium (PBTC) Neuroimaging Center (NIC) MR QA program.


MATERIALS AND METHODS
An MR QA program was implemented among 11 participating PBTC sites and quarterly evaluations of scanner performance for seven imaging metrics defined by the ACR were sought and subject to statistical evaluation over a 4.5-year period. Overall compliance with the QA program, means, standard deviations, and coefficients of variation (CV) for the quantitative imaging metrics were evaluated.


RESULTS
Quantitative measures of the seven imaging metrics were generally within ACR recommended guidelines for all sites. Compliance improved as the study progressed. Intersite variabilities, as gauged by CV for slice thickness and geometric accuracy, imaging parameters that influence size or positioning measurements in tumor studies, were on the order of 10% and 1%, respectively.


CONCLUSIONS
Although challenging to establish, MR QA programs within the context of PBTC multisite clinical trials when based on the ACR MR phantom program can indicate sites performing below acceptable image quality levels and establish levels of precision through instrumental variabilities that are relevant to quantitative image analyses (eg, tumor volume changes).
Extensions of Simple Conceptual Graphs: the Complexity of Rules and Constraints

Simple conceptual graphs are considered as the kernel of most knowledge representation formalisms built upon Sowa's model. Reasoning in this model can be expressed by a graph homomorphism called projection, whose semantics is usually given in terms of positive, conjunctive, existential FOL. We present here a family of extensions of this model, based on rules and constraints, keeping graph homomorphism as the basic operation. We focus on the formal definitions of the different models obtained, including their operational semantics and relationships with FOL, and we analyze the decidability and complexity of the associated problems (consistency and deduction). As soon as rules are involved in reasonings, these problems are not decidable, but we exhibit a condition under which they fall in the polynomial hierarchy. These results extend and complete the ones already published by the authors. Moreover we systematically study the complexity of some particular cases obtained by restricting the form of constraints and/or rules.
Emerging Perspectives in Scaffold for Tissue Engineering in Oral Surgery

Bone regeneration is currently one of the most important and challenging tissue engineering approaches in regenerative medicine. Bone regeneration is a promising approach in dentistry and is considered an ideal clinical strategy in treating diseases, injuries, and defects of the maxillofacial region. Advances in tissue engineering have resulted in the development of innovative scaffold designs, complemented by the progress made in cell-based therapies. In vitro bone regeneration can be achieved by the combination of stem cells, scaffolds, and bioactive factors. The biomimetic approach to create an ideal bone substitute provides strategies for developing combined scaffolds composed of adult stem cells with mesenchymal phenotype and different organic biomaterials (such as collagen and hyaluronic acid derivatives) or inorganic biomaterials such as manufactured polymers (polyglycolic acid (PGA), polylactic acid (PLA), and polycaprolactone). This review focuses on different biomaterials currently used in dentistry as scaffolds for bone regeneration in treating bone defects or in surgical techniques, such as sinus lift, horizontal and vertical bone grafts, or socket preservation. Our review would be of particular interest to medical and surgical researchers at the interface of cell biology, materials science, and tissue engineering, as well as industry-related manufacturers and researchers in healthcare, prosthetics, and 3D printing, too.
One, not two, neural correlates of consciousness

Although we admire Ned Block’s effort to include cognitive neuroscience in his philosophical work, we cannot agree with his interpretation of the evidence [1]. Block has long argued that there are two kinds of consciousness: ‘phenomenological consciousness’ (what we experience) and ‘access consciousness’ (roughly, the information we can access via conscious experiences). In Baars’ theoretical work on Global Workspace Theory [2,3] that point is made more simply: the contents of visual consciousness, for example, clearly require visual cortex. But activity in visual cortex, although necessary, is not sufficient for conscious qualities, as the brain evidence so clearly shows. Without parietal and prefrontal activation, researchers such as Dehaene et al. [4] find no correlation of visual cortical activity with consciousness. Similarly, Laureys et al. [5] have shown that when frontoparietal regions are impaired, there is no evidence for sensory consciousness, despite activation of sensory cortices [6,7]. The obvious inference is that unconscious brain mechanisms interact with visual cortex to make visual qualities possible. But why should such interactions be said to involve ‘access consciousness’? For example, we know that some parietal neurons act as egocentric visuospatial maps, and that without those neurons, visual objects disappear phenomenally from the contralateral visual field. But direct stimulation of these parietal egocentric map neurons does not evoke conscious experiences at all: they do not directly support visual qualia. That is, they are necessary for visual contents but not sufficient, just as brainstem arousal systems are necessary but not sufficient. Why then should they be thought to involve ‘access consciousness’? We are afraid that Block has fallen victim to his own theory. There is no need for ‘access consciousness’. All we need is consciously-mediated access to brain capacities, most of which are simply not conscious.
An examination of the structural link between post-traumatic stress symptoms and chronic pain in the framework of fear-avoidance models.

BACKGROUND
The tendency to respond with fear and avoidance can be seen as a shared vulnerability contributing to the development of post-traumatic stress disorder (PTSD) and chronic pain. Although several studies have examined which specific symptoms of PTSD (re-experiencing, avoidance, emotional numbing and hyperarousal) are associated with chronic pain, none has considered this association within the framework of fear-avoidance models.


METHODS
Seven hundred fourteen patients with chronic musculoskeletal pain were assessed. Of these, 149 patients were selected for the study based upon the following inclusion criteria: exposure to a traumatic event before the onset of pain (with scores equal to or higher than 8 points on the fear and hopelessness scales of the Stressful Life Event Screening Questionnaire Revised) and scores equal to or higher than 30 on the Davidson Trauma Scale.


RESULTS
Structural equation modelling was used to test the association between PTSD symptoms and pain outcomes (pain intensity and disability) using the mediating variables considered in the fear-avoidance models. The results show that emotional numbing and hyperarousal symptoms, but neither re-experiencing nor avoidance, affected pain outcome via anxiety sensitivity (AS), catastrophizing and fear of pain. PTSD symptoms increased the levels of AS, which predisposes to catastrophizing and, in turn, had an effect on the tendency of pain patients to respond with more fear and avoidance.


CONCLUSIONS
This study provides empirical support for the potential role of PTSD symptoms in fear-avoidance models of chronic pain and suggests that AS is a relevant variable in the relationship between both disorders.
HIV, syphilis and sexual risk behaviours among men who have sex with men in Agadir and Marrakesh, Morocco

OBJECTIVE
To collect baseline measurements of HIV and syphilis prevalence and sexual risk behaviours among men who have sex with men (MSM) in Agadir and Marrakech, Morocco, and provide strategic information to improve outreach programmes.


METHODS AND DESIGN
Respondent-driven sampling was used to recruit men who reported having anal sex with another man in the last 6 months, aged 18 years and older and living in either Agadir or Marrakech for the past 6 months, regardless of nationality. Data were analysed with the multiplicity estimator using respondent-driven sampling analysis tool V.6.0.


RESULTS
323 MSM in Agadir and 346 in Marrakech were recruited into the survey. Most MSM in both cities reported being < 25 years, being unemployed, bisexual and in a couple with both a man and a woman. Most reported selling sex and having sex with women. HIV prevalence was 5.6% in Agadir and 2.8% in Marrakesh; syphilis was 7.0% in Agadir and 10.8% in Marrakesh. Among MSM who tested positive for HIV, 31.6% in Agadir and 56.4% in Marrakesh were co-infected with syphilis.


CONCLUSIONS
HIV and syphilis findings coupled with high risk activities indicate the need for expanding programmes targeting MSM throughout Morocco. Selling sex and sex with women may be a strategy to cope with extreme stigma towards MSM. Criminalisation and discrimination of MSM in Morocco underscores the urgent need for long-term and sustainable risk reduction through legal reforms and promotion and protection of human rights.
Bench-to-bedside review: Oxygen debt and its metabolic correlates as quantifiers of the severity of hemorrhagic and post-traumatic shock

Evidence is increasing that oxygen debt and its metabolic correlates are important quantifiers of the severity of hemorrhagic and post-traumatic shock and and may serve as useful guides in the treatment of these conditions. The aim of this review is to demonstrate the similarity between experimental oxygen debt in animals and human hemorrhage/post-traumatic conditions, and to examine metabolic oxygen debt correlates, namely base deficit and lactate, as indices of shock severity and adequacy of volume resuscitation. Relevant studies in the medical literature were identified using Medline and Cochrane Library searches. Findings in both experimental animals (dog/pig) and humans suggest that oxygen debt or its metabolic correlates may be more useful quantifiers of hemorrhagic shock than estimates of blood loss, volume replacement, blood pressure, or heart rate. This is evidenced by the oxygen debt/probability of death curves for the animals, and by the consistency of lethal dose (LD)25,50 points for base deficit across all three species. Quantifying human post-traumatic shock based on base deficit and adjusting for Glasgow Coma Scale score, prothrombin time, Injury Severity Score and age is demonstrated to be superior to anatomic injury severity alone or in combination with Trauma and Injury Severity Score. The data examined in this review indicate that estimates of oxygen debt and its metabolic correlates should be included in studies of experimental shock and in the management of patients suffering from hemorrhagic shock.
Threat detection in online discussions

This paper investigates the effect of various types of linguistic features (lexical, syntactic and semantic) for training classifiers to detect threats of violence in a corpus of YouTube comments. Our results show that combinations of lexical features outperform the use of more complex syntactic and semantic features for this task.
Determination of Alkaline Phosphatase Activity in Patients with Different Zinc Metabolic Disorders

Our purpose was to investigate the effect of different zinc metabolic disorders on alkaline phosphatase activity. Serum zinc, glucose and alkaline phosphatase activity were studied in 32 patients with liver cirrhosis, 30 with chronic renal failure and 42 with insulin-dependent diabetes mellitus (IDDM) compared to 42 healthy volunteers. Serum glucose concentration was significantly higher (P < 0.001) in IDDM and liver cirrhosis patients (P < 0.05) compared to the controls. Serum zinc concentrations tended to be lower in all different diseases but did not reach statistical significance. Alkaline phosphatase activity was higher in IDDM (P < 0.05) and liver cirrhosis patients (P < 0.01) compared with the controls. No positive correlation between serum zinc and alkaline phosphatase activity was recorded in any disease. In conclusion, the investigated diseases did not affect the level of serum zinc; however, there was an alteration in alkaline phosphatase activity in patients suffering from diabetes and liver cirrhosis. Consequently, this may be attributed to the functional disturbance that occurred in these patients. Finally, zinc concentration did not follow alkaline phosphatase activity as indicated by the weak correlation obtained.
Metformin inhibits proliferation and enhances chemosensitivity of intrahepatic cholangiocarcinoma cell lines.

Metformin is an oral anti-hyperglycemic agent of the biguanide family, which is used first-line for type II diabetes with few side-effects. A recent epidemiological study that included 1,828 potential intrahepatic cholangiocarcinoma (ICC) patients showed that metformin use was significantly associated with a 60% reduction in ICC risk in diabetic patients, demonstrating the potential value of metformin in ICC management. In the present study, we firstly showed that metformin exhibited a dose- and time-dependent anti-proliferation effect on ICC cell lines, by mechanisms including apoptosis induction and cell cycle arrest. Metformin targeted the AMPK/mTORC1 pathway in ICC cells. Furthermore, metformin sensitized ICC cells to certain chemotherapeutic agents, such as sorafenib, 5-fluorouracil and As2O3 by targeting the AMPK/mTOR/HIF-1α/MRP1 pathway and ERK. As it is an inexpensive and widely used antidiabetic drug without severe adverse effects, metformin may be a prospective chemotherapeutic agent or a chemosensitizer in future ICC treatment.
Metamorphic and Lattice-Matched Solar Cells Under Concentration

Metamorphic III-V semiconductor materials offer access to bandgaps that span key portions of the solar spectrum, enabling new bandgap combinations in multijunction solar cells, and increasing both theoretical and practical efficiency limits for terrestrial concentrator cells. Experimental results are given for the quantum efficiency of metamorphic GaInAs solar cells with bandgap from 1.1 to 1.4 eV, and for metamorphic GaInP with both ordered and disordered group-III sublattices. Variable intensity Jsc vs. Voc measurements are used to compare recombination components due to n=1 and n=2 mechanisms in metamorphic and lattice-matched GaInAs, GaInP, and 3-junction solar cells. A record efficiency metamorphic GaInP/GaInAs/Ge 3-junction solar cell has been produced with 38.8% efficiency independently confirmed (241 suns, AM1.5D, low-AOD, 25degC), essentially equaling the performance of a lattice-matched 3-junction cell with 39.0% efficiency, the highest efficiency yet demonstrated and verified for a solar photovoltaic conversion device. With the combination of high-quality metamorphic materials that are increasingly less controlled by recombination at dislocations, and the higher efficiency limits afforded by freedom of lattice constant selection, practical terrestrial concentrator cell efficiencies well over 40% are expected in the near future
Comparison of contemporaneous responses for EQ-5D-3L and Minnesota Living with Heart Failure; a case for disease specific multiattribute utility instrument in cardiovascular conditions.

BACKGROUND
The EQ-5D-3L, a generic multi-attribute utility instrument (MAUI), is widely employed to assist in economic evaluations in health care. The EQ-5D-3L lacks sensitivity when used in conditions such as cardiovascular disease (CVD). Although there are number of CVD specific quality of life instruments, currently, there are no CVD specific MAUIs. The aim of this study is to investigate the discriminative ability and responsiveness of the EQ-5D-3L and the Minnesota Living with Heart Failure Questionnaire (MLHF), a CVD specific quality of life instrument in a group of heart failure patients.


METHODS
The psychometric performance of the EQ-5D-3L and the MLHF was assessed using data from a randomised trial for a heart failure management intervention. The two instruments were compared for discrimination, responsiveness and agreement. The severity groups were defined using New York Heart Association functional classes.


RESULTS
The effect sizes for severe classes were generally similar showing good discrimination. The MLHF recorded better responsiveness between the time points than the EQ-5D-3L which was indicated by higher effect sizes and standardised response means. The change in MLHF summary scores between the time points was significant (p<0.005; paired t-test). The overall agreement between the two measures was low.


CONCLUSION
The low correlation indicates that the two classification systems cover different aspects of health space. Comparison of CVD specific instruments with other generic MAUIs such as EQ-5D-3L and AQOL-8D is recommended for further research.
Landmark-based Plan Recognition

As more computer systems require reasoning about what agents (both human and artificial) other than themselves are doing, the ability to accurately and efficiently recognize goals and plans from agent behavior becomes increasingly important. Plan recognition is the task of recognizing goals and plans based on often incomplete observations that include actions executed by agents and properties of agent behavior in an environment [10]. Accurate plan recognition is important to monitor and anticipate agent behavior, such as in crime detection and prevention, monitoring activities, and elderlycare. Most plan recognition approaches [3, 1] employ plan libraries (i.e, a library with all plans for achieving a set of goals) to represent agent behavior, resulting in approaches to recognize plans that are analogous to language parsing. Recent work use planning domain definitions (domain theories) to represent potential agent behavior, bringing plan recognition closer to planning algorithms [8, 7, 6, 2]. In this paper, we develop a plan recognition approach that relies on planning landmarks [4] to filter candidate goals and plans from observations. Landmarks are properties (or actions) that every plan must satisfy (or execute) at some point in every plan execution to achieve a goal. In this way, we use this filtering algorithm in two settings. First, we build a landmark-based plan recognition heuristic that analyzes the amount of achieved landmarks to estimate the percentage of completion of each filtered candidate goal. Second, we show that the filter we develop can also be applied to other planning-based plan recognition approaches, such as the approach from Ramı́rez and Geffner [8]. We evaluate our approach empirically against the current state-of-the-art [8] using their own datasets [8, 7], and show that our approach has multiple advantages over existing approaches: it is more accurate than the state-of-the-art; it is substantially faster on its own; and it can also be used to speed up existing approaches.
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

Deep convolutional networks have witnessed unprecedented success in various machine learning applications. Formal understanding on what makes these networks so successful is gradually unfolding, but for the most part there are still significant mysteries to unravel. The inductive bias, which reflects prior knowledge embedded in the network architecture, is one of them. In this work, we establish a fundamental connection between the fields of quantum physics and deep learning. We use this connection for asserting novel theoretical observations regarding the role that the number of channels in each layer of the convolutional network fulfills in the overall inductive bias. Specifically, we show an equivalence between the function realized by a deep convolutional arithmetic circuit (ConvAC) and a quantum many-body wave function, which relies on their common underlying tensorial structure. This facilitates the use of quantum entanglement measures as welldefined quantifiers of a deep network’s expressive ability to model intricate correlation structures of its inputs. Most importantly, the construction of a deep convolutional arithmetic circuit in terms of a Tensor Network is made available. This description enables us to carry a graph-theoretic analysis of a convolutional network, tying its expressiveness to a min-cut in the graph which characterizes it. Thus, we demonstrate a direct control over the inductive bias of the designed deep convolutional network via its channel numbers, which we show to be related to the min-cut in the underlying graph. This result is relevant to any practitioner designing a convolutional network for a specific task. We theoretically analyze convolutional arithmetic circuits, and empirically validate our findings on more common convolutional networks which involve ReLU activations and max pooling. Beyond the results described above, the description of a deep convolutional network in well-defined graph-theoretic tools and the formal structural connection to quantum entanglement, are two interdisciplinary bridges that are brought forth by this work.
Parametric studies of carbon nitride thin films deposited by reactive pulsed laser ablation

We report on parametric studies of CNx films deposited by excimer laser ablation of graphite targets in molecular nitrogen atmosphere as a function of gas pressure and laser fluence values. Substrates were Si single crystals at room temperature. Deposition rates decrease with increasing nitrogen pressure. The N/C atomic ratio generally increases with increasing nitrogen pressure and laser fluence, N atoms are mainly bonded to C atoms in the sp2 and sp3 bonding states. At relatively high pressure and laser fluences about 40 percent of the C atoms and about 50 percent of the N atoms are bounded in the C-N single bonds, generally attributed to the (beta) -C3N4 compound.© (2000) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.