Miracle-dz/UniFAR-FTUs huggingface dataset:
A HUMAN-ORIENTED VIRUS PROPAGATION MODEL IN EMAIL NETWORKS

Our world is currently threatened by digital viruses, such as email viruses and mobile viruses. These viruses are mainly activated by users’ operations. Therefore, it’s important for us to understand the pattern of user’s operational behaviors and estimate the effect of such behaviors on virus propagation. This paper first reveals the statistical characteristics of human behaviors, especially the email-checking intervals of the same user based on the Enron email dataset. After that, we analyze the effect of human operational behaviors and network topologies on virus propagation in a human-oriented virus propagation model. The empirical results from real dataset show that the waiting intervals of each user to check mailbox follow a long-tail distribution. Combining this finding, our experiments accurately describe the process of emailvirus propagation. The results show that viruses can fast spread in a network if the email-checking intervals follow a long-tail distribution with a higher power-law exponent. Meanwhile, our results find that the infected nodes with the highest-degree may speed up the virus propagation through analyzing the effects of network structure on virus propagation.
Spotting the ‘Odd-one-out’: Data-Driven Error Detection and Correction in Textual Databases

We present two methods for semiautomatic detection and correction of errors in textual databases. The first method (horizontal correction) aims at correcting inconsistent values within a database record, while the second (vertical correction) focuses on values which were entered in the wrong column. Both methods are data-driven and language-independent. We utilise supervised machine learning, but the training data is obtained automatically from the database; no manual annotation is required. Our experiments show that a significant proportion of errors can be detected by the two methods. Furthermore, both methods were found to lead to a precision that is high enough to make semi-automatic error correction feasible.
Supporting the needs of students with undiagnosed disabilities

Students with disabilities, especially those with non-apparent conditions, are entering universities in growing numbers. Yet more and more students are going off to college unprepared to manage their disabilities, in part because their high schools are overburdened, understaffed, and uninformed to identify and support them. A recent survey of students receiving disability supports at one public university revealed that the majority of these undergraduates with disabilities did not receive special education services in high school, instead waiting until college to seek help. Respondents reflected on what could have been improved about their high school experience, and they offered advice to school practitioners as to how to support these underserved students for postsecondary success.
Scalability versus semantics of concurrent FIFO queues

Maintaining data structure semantics of concurrent queues such as first-in first-out (FIFO) ordering requires expensive synchronization mechanisms which limit scalability. However, deviating from the original semantics of a given data structure may allow for a higher degree of scalability and yet be tolerated by many concurrent applications. We introduce the notion of a k-FIFO queue which may be out of FIFO order up to a constant k (called semantical deviation). Implementations of k-FIFO queues may be distributed and therefore be accessed unsynchronized while still being starvation-free. We show that k-FIFO queues whose implementations are based on state-of-the-art FIFO queues, which typically do not scale under high contention, provide scalability. Moreover, probabilistic versions of k-FIFO queues improve scalability further but only bound semantical deviation with high probability.
Race and Ability Talk in Early Childhood: Critical Inquiry into Shared Book Reading Practices with Pre-Service Teachers.

In early childhood contexts, reading literature to engage children in critical discussions about ability and race – and how it impacts their daily lives – is a promising practice. Indeed, critical literacy scholars see the use of language, text, and discourse structures as powerful ways to address inequity in educational settings (Gainer, 2013; Luke, 2012; Rodriguez & Cho, 2011). However, research investigating the ways in which teachers and young children participate in dialogue about ability and race through shared-book reading is sparse. Further, research on ways pre-service teachers’ identities and experiences mediate these classroom interactions is limited (Aboud et al., 2012; Yu, Ostrosky, & Fowler, 2012). This study investigated how four pre-service teachers constructed identities and transformed their practice as they facilitated dialogue about ability and race with young children during shared-book reading in preschool fieldwork placements. Grounded in a humanizing stance (Paris, 2011) and conceptually framed through sociocultural theory (de Valenzuela, 2013; Rogoff, 2003; Vygotsky, 1978), discourse theory (Alim, 2005; Gee, 2014; Fairclough & Wodak, 1997; Rogers, 2011), and Disability Critical Race Theory (Annamma et al., 2013), this qualitative multiple-case study aimed to inform future early childhood educators in facilitating critical conversations about ability and race with young learners. Data collection sources included: interviews with pre-service teachers, mentor teachers, and children; shared-book reading video data; and pre-service teachers’ Critical Conversation Journey Maps (adapted from Annamma, 2017). Results from Critical Discourse Analysis and across-case thematic analysis demonstrated that pre-service teacher participants controlled the amount of child talk and ways children could contribute to talk during shared book reading. When topics of ability and race were discussed, pre-service teachers constructed themselves as experts, focused on naming physical differences, and emphasized universal sameness. In doing
High quality video streaming using content-awareadaptive frame scheduling with explicit deadlineadjustment

We propose an application layer algorithm for content-aware adaptive video frame scheduling on bandwidth varying channels. The proposed approach includes an iterative algorithm which sequentially uses the rate constraint and delay constraint for video frames to arrive at a decision to drop/ send video frames. In addition to our base algorithm, we also propose an explicit deadline adjustment (EDA) algorithm. The main idea behind EDA relates to the sender adjusting/ postponing the deadline of an important frame which is estimated to miss its deadline by actively dropping one (or more) less important next frame(s) and sending the deadline adjusted/ postponed frame to be displayed in place of the next dropped frame(s). The rate-distortion (R-D) performance of our proposed approach and its comparison with prior art method is shown.
Authorial manuscript image analysis using markovian models: the Bovary project

In this paper, we present our recent work on the Bovary project, a manuscript digitization project of the famous French writer Gustave Flaubert, which aims at providing an online access to a hyper textual edition of “Madame Bovary” draft sets. We first describe the global context of this project, its main objectives, and then focus on the document image analysis problem for which we have developed effective and powerful page layout extraction algorithms based on Markovian generative and discriminative models such as Hidden Markov Random Fields and Conditional Random Fields. We show with some experiments that these stochastic and contextual models are able to cope with local spatial variability while taking into account some prior knowledge about the global structure of the document image, thus being well suited to the segmentation of very complex document images like authorial manuscripts or historical documents.
The Relationship between Socially Prescribed Perfectionism and Academic Procrastination in Korea

Academic procrastination is defined as ‘unnecessarily to put off starting and completing tasks in academic settings. ’ Procrastination is easily observed around us and associated with a variety of negative variables. Many researchers tried to find causes of procrastination, and then assumed that perfectionism might be a significant factor because they believed procrastination stems from excessively high standards. Especially, it was proposed by researchers that socially prescribed perfectionism might be a main cause of academic procrastination. However, the levels of the correlations between socially prescribed perfectionism and academic procrastination in Western studies were not so high, differently as expected. Additionally, the research in Korea reported much lower levels of correlations between them than the levels in Western studies or even no associations. These differences could be explained as the influences of cultural factors or/and any intervening variables in the relationship between socially prescribed perfectionism and academic procrastination. On the basis of self-regulation, we explored possible variables to intervene in the relationship between the two variables. The self-regulation, as one of the theories to account for procrastination, assumes not that motivation directly lead to behavior, but that goals and strategies intervene in the relationship between motivation and behavior. In other words, self-regulation means that when individuals set up goals and approach the goals they monitor the process to ensure themselves to see whether they are adequately progressing toward their goals. As a result of our exploration for the possible variables in the light of self-regulation, achievement goals, cognitive strategies, and meta-cognitive strategies were expected to intervene between the two variables. Thus, the purpose of this study was to examine the mediating effect of performance-avoidance goal in the relationship between socially prescribed perfectionism and academic procrastination. Furthermore, it was also investigated whether cognitive strategies and meta-cognitive strategies have any moderating effects in the process where performance-avoidance goal affects academic procrastination.
Matching of Twig Pattern with AND/OR Predicates over XML Streams

Chapter 5 presents a novel approach for processing complex twig pattern with OR-predicates and AND-predicates over XML document streams which a twig pattern is represented as a query tree. Its OR-predicates and AND-predicates are represented as a separate abstract syntax tree associated with the branch node, and all the twig patterns are combined into a single prefix query tree that represents such queries by sharing their common prefixes. Consequently, all the twig patterns are evaluated in a single, document-order pass over the input document stream avoiding the translation of the set of twig patterns into a finite state automaton. Chapter 1 introduces the background of this issue. Chapter 2 discusses the representation of complex twig pattern as a query tree, how to combine a set of twig patterns into a single query three, how to match multi twig patterns over the incoming XML document, and possible optimization of computing logical AND/OR predicates. In section 3, the architecture of a XML stream process system named LeoXSQ is given. Section 4 shows the conducted experiments. In section 5, the related work is discussed. Section 6 summarizes this chapter. DOI: 10.4018/978-1-4666-1975-3.ch005
A PITCH OF SPIRAL ( The Laboratory History with a Preface and an Epilogue )

Preface " In the beginning was the Word " [1]. When graduated from the Polytechnic in the April 1962 I had appeared in front of G.A. Smolensky, a head of the Laboratory of Magnetism and Ferroelectricity in the late Institute for Semiconductors of Academy of Sciences of the late USSR, he actually said a little more than one Word: " You will do neutrons at Gatchina. " That time there were three condensed-matter instruments at the reactor: the polarised-neutron beam-line where G.M. Drabkin with his team made the first experiments with polarised neutrons, the time-of-flight spectrometer (a property of the Institute for Semiconductors) and the powder diffractometer (a property of the Moscow Institute for Crystallography) that was occasionally used by a thesis student. When my boss at Gatchina, G.M. Drabkin, had realized that my first boss was going to invest in these neutrons only my salary of 83 roubles per month (the lowest one of a senior technician in the Academy of Sciences) he decided that this is not enough to get one beam-tube more and that I should join E.I. Maltzev who was responsible for the diffractometer. Together we have found a superstructure in BiFeO 3 , the substance studied before by R.P. Ozerov, and I have understood forever that any new result needs an advantage in the experimental technique [2]. Unfortunately this was the first and the last experiment on this instrument, and mainly due to political reasons we spent five years of our life for the machinery with no financial investment. Nevertheless before 1971 eight papers were published including one on the neutron diffraction study of a manganate system CaMnO 3 − BiMnO 3. At present the manganates are the most popular systems in the solid-state physics. In spite of this I consider as more important our publication with W. Cochran on the X-ray scattering by a pho-non soft mode in the lanthanum aluminate [3]. This was the first observation of the soft mode with a non-zero wave vector. The soft-mode mechanism proposed by W. Cochran is now known to be
Electronic Document Security Sharing System Based on Lineage Mechanism

That ensuring the electronic documents security is the key to the protection of internal information. With the extent of file sharing enlarged, it is hard to keep balance between the security and sharing. To achieve this goal, file tracing and audit, dynamic adjustment of right must be solved better. In this paper, a electronic document security system based on lineage mechanism is proposed,it support dynamic adjust right in mutable environment. It implement the file trace through recording the access logs and path of transmission. In fact, it implement one of the UCON models: pre-authorization with post update.
Semantic Network Manual Annotation and its Evaluation

Semantic Network Manual Annotation and its Evaluation The present contribution is a brief extract of (Novák, 2008). The Prague Dependency Treebank (PDT) is a valuable resource of linguistic information annotated on several layers. These layers range from morphemic to deep and they should contain all the linguistic information about the text. The natural extension is to add a semantic layer suitable as a knowledge base for tasks like question answering, information extraction etc. In this paper I set up criteria for this representation, explore the possible formalisms for this task and discuss their properties. One of them, Multilayered Extended Semantic Networks (Multi-Net), is chosen for further investigation. Its properties are described and an annotation process set up. I discuss some practical modifications of MultiNet for the purpose of manual annotation. MultiNet elements are compared to the elements of the deep linguistic layer of PDT. The tools and problems of the annotation process are presented and initial annotation data evaluated.
Secure and energy efficient MANET routing incorporating trust values using hybrid ACO

Routing in a MANET varies considerably from the other networks due to the fact that MANET, being an ad-hoc network does not follow a specific topology and the nodes are dynamic. Further, power consumption is another major aspect, which needs to be kept in check, as the depleted nodes tend to become selfish. This paper presents a Hybrid Ant Colony Optimization based routing algorithm that generates routes dynamically, following the concept of equal load distribution in the network. The local search component of ACO is modified using Simulated Annealing to provide an effective and energy efficient node selection mechanism. Experiments show that the algorithm exhibits effective load distributions and also provides dynamic random paths.
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models

Recently, machine learning models have been applied to neuroimaging data, allowing to make predictions about a variable of interest based on the pattern of activation or anatomy over a set of voxels. These pattern recognition based methods present undeniable assets over classical (univariate) techniques, by providing predictions for unseen data, as well as the weights of each voxel in the model. However, the obtained weight map cannot be thresholded to perform regionally specific inference, leading to a difficult localization of the variable of interest. In this work, we provide local averages of the weights according to regions defined by anatomical or functional atlases (e.g. Brodmann atlas). These averages can then be ranked, thereby providing a sorted list of regions that can be (to a certain extent) compared with univariate results. Furthermore, we defined a "ranking distance", allowing for the quantitative comparison between localized patterns. These concepts are illustrated with two datasets.
In Vivo Evaluation of the Skin Tensile Strength by the Suction Method: Pilot Study Coping with Hysteresis and Creep Extension

From an engineering standpoint, both the skin and subcutaneous tissue act as interconnected load-transmitting structures. They are subject to a variety of intrinsic and environmental influences. Changes in the cutaneous viscoelasticity represent an important aspect in a series of skin conditions. The aim of this work was to explore the methodology of biomechanical measurements in order to better appreciate the evolution and severity of some connective tissue diseases. The Cutometer MPA 580 (C+K electronic) was used in the steep and progressive suction procedures. Adapting measurement modalities was explored in order to mitigate any variability in data collection. The repeat steep suction procedure conveniently reveals the creep phenomenon. By contrast, the progressive suction procedure highlights the hysteresis phenomenon. These viscoelastic characteristics are presently described using the 2 and 4 mm probes on normal skin and in scleroderma, acromegaly, corticosteroid-induced dermatoporosis, and Ehlers-Danlos syndrome. The apposition of an additional outer contention on the skin altered differently the manifestations of the creep extension and hysteresis among the tested skin conditions. Any change in the mechanical test procedure affects the data. In clinical and experimental settings, it is mandatory to adhere to a strict and controlled protocol.
Generate Fuzzy Membership Function using Particle Swarm Optimization

In this paper, we will proposed a hybrid method to generate fuzzy membership function automatically. Particle Swarm Optimization (PSO) is used as optimized algorithm, supplement the performance of fuzzy system. The PSO is able to generate an optimal set of parameter for the membership functions automatic adjustment. Fuzzy control system that automatically backs up a truck to a specified point on a loading dock is used for the method. The objective of the problem is to back up the truck in order to go at specified position from any start position. Fuzzy system performance after generation show better result than before generation. KeywordsParticle Swarm Optimization; Fuzzy Membership Function; Fuzzy control; Truck Backer-Upper
Host Determinants of Reinfection with Schistosomes in Humans: A Systematic Review and Meta-analysis

Background Schistosomiasis is still a major public health burden in the tropics and subtropics. Although there is an effective chemotherapy (Praziquantel) for this disease, reinfection occurs rapidly after mass drug administration (MDA). Because the entire population do not get reinfected at the same rate, it is possible that host factors may play a dominant role in determining resistance or susceptibility to reinfection with schistosomes. Here, we systematically reviewed and meta-analyzed studies that reported associations between reinfection with the principal human-infecting species (S. mansoni, S. japonicum and S. haematobium) and host socio-demographic, epidemiological, immunological and genetic factors. Methodology/Principal Findings PubMed, Scopus, Google Scholar, Cochrane Review Library and African Journals Online public databases were searched in October 2013 to retrieve studies assessing association of host factors with reinfection with schistosomes. Meta-analysis was performed to generate pooled odds ratios and standardized mean differences as overall effect estimates for dichotomous and continuous variables, respectively. Quality assessment of included studies, heterogeneity between studies and publication bias were also assessed. Out of the initial 2739 records, 109 studies were included in the analyses, of which only 32 studies with 37 data sets were eligible for quantitative data synthesis. Among several host factors identified, strong positive association was found with age and pre-treatment intensity, and only slightly for gender. These factors are major determinants of exposure and disease transmission. Significant positive association was found with anti-SWA IgG4 level, and a negative overall effect for association with IgE levels. This reconfirmed the concept that IgE/IgG4 balance is a major determinant of protective immunity against schistosomiasis. Other identified determinants were reported by a small number of studies to enable interpretation. Conclusions Our data contribute to the understanding of host-parasite interaction as it affects reinfection, and is a potential tool to guide planning and tailoring of community interventions to target high-risk groups.
Cdh1/Hct1-APC Is Essential for the Survival of Postmitotic Neurons

Cell division at the end of mitosis and G1 is controlled by Cdh1/Hct1, an activator of the E3-ubiquitin ligase anaphase-promoting complex (APC) that promotes the ubiquitylation and degradation of mitotic cyclins and other substrates. Cdh1–APC is active in postmitotic neurons, where it regulates axonal growth and patterning in the developing brain. However, it remains unknown whether Cdh1–APC is involved in preventing cell-cycle progression in terminally differentiated neurons. To address this issue, we used the small hairpin RNA strategy to deplete Cdh1 in postmitotic neurons. We observed that Cdh1 silencing rapidly triggered apoptotic neuronal death. To investigate the underlying mechanism, we focused on cyclin B1, a major Cdh1–APC substrate. Our results demonstrate that Cdh1 is required to prevent the accumulation of cyclin B1 in terminally differentiated neurons. Moreover, by keeping cyclin B1 low, Cdh1 prevented these neurons from entering an aberrant S phase that led to apoptotic cell death. These results provide an explanation for the mechanism of cyclin B1 reactivation that occurs in the brain of patients suffering from neurodegenerative diseases, such as Alzheimer's disease.