Miracle-dz/UniFAR-FTUs huggingface dataset:
Securing online reputation systems through temporal, trust and user correlation analysis

Online reputation systems play a significant role in decision support during internet mediated service provision. With the fast development of online reputation systems in various social networks, operations against such systems are growing rapidly. It has been considered as an important but most difficult problem. In this paper, we propose a defense solution TTAUCA [Temporal, Trust And User Correlation Analysis], which secure the reputation systems from a novel angle, that is used to integrate time domain anomaly detection, Dempster-Shafer Theory based trust computation and user correlation analysis. Real user attack data collected from a cyber competition is used to construct the testing data set. Compared with previous scheme TATA [Temporal And Trust Analysis], TTAUCA achieves a better performance in terms of detecting products under attacks, identifying malicious users who insert illegitimate ratings, and recovering reputation scores of victim products.
A Probabilistic Eulerian Traffic Model for the Coordination of Multiple AGVs in Automatic Warehouses

The co-ordination of multiple automated guided vehicles (AGVs) is one of the main issues to address for the implementation of an efficient autonomous warehouse. Traffic jams are highly undesirable and, therefore, the motion of the AGVs should be planned by considering the current and future state of the fleet. This letter proposes a probabilistic model of the traffic in an autonomous warehouse to predict the evolution of possibly congested areas. Such a model is then exploited for building a predictive planner that is embedded in the traffic manager recently proposed in [1] to explicitely consider the evolution of the traffic up to a given horizon and to increase the efficiency of the fleet of AGVs in terms of delivery time. The proposed traffic manager is validated by means of comparative simulations on real plants.
A study on interictal depressive symptoms and laterality in temporal lobe and generalized epilepsies

Background: Mood disorders like inter-ictal depressive symptoms and inter-ictal major depressive episodes are the most frequent psychiatric co-morbidity seen in temporal lobe epilepsies with left hippocampal sclerosis than generalized epilepsies. Despite the clinical significance of depression, it often goes unrecognized and hence untreated in this population. These patients may tend to minimize their complaints to avoid further stigmatization of their illness. This study was undertaken to the prevalence and severity of depressive symptoms in patients with complex partial and generalized seizures, association of depression with the duration of illness and correlation of depression with right or left sided focus in complex partial seizures. Methods: 30 patients each of complex partial and generalized seizure disorder were enrolled to study depressive symptoms with the help of the Beck's Depression inventory a 21 item measure of depressive symptoms. A proforma was prepared to study the various demographic variables, details of seizure disorder &MRI findings. Results: As per the Beck's Depression inventory 26% of complex partial seizure patients and 40% of generalized seizure disorder patients had depressive symptoms which was not statistically significant. 20% and 63% of complex partial seizure patients and 30% and 40% of generalized seizure patients had moderate and mild severity of depression respectively. No significant association between left sided temporal lobe scleroses for depressive symptoms was seen. No correlation was seen of duration of illness with depressive symptoms in both the groups. Conclusions: A high prevalence of depressive symptoms in the generalized seizure group as compared to complex partial seizure group patients emphasizes the fact that the psychiatric morbidity is multi-factorial involving neurobiological as well as psychosocial issues which need to be addressed.
Review: After the Death of Childhood: Growing up in the Age of Electronic Media

In this book, which draws on 15 years of research on children and the media, Buckingham debunks the media effects tradition that continues to retain currency particularly in regard to children, arguing that it is based on essentialist views of childhood and technological determinist accounts of media. He rejects the dystopian 'death of childhood' view advocated by media critics such as Neil Postman, and the utopian 'electronic generation' view propounded by media producers. The former proposes that children are passive and powerless victims of media; the latter that children are powerful active agents and sovereign consumers of media. Advocates of both views, Buckingham argues, tend to isolate children from broader cultural and social change.
Adiabatic Losses and Stochastic Particle Acceleration in Gamma-Ray Burst Blast Waves

We treat the problem of adiabatic losses and stochastic particle acceleration in gamma-ray burst (GRB) blast waves that decelerate by sweeping up matter from an external medium. The shocked fluid is assumed to be represented by a homogeneous expanding shell. The energy lost by nonthermal particles through adiabatic expansion is converted to the bulk kinetic energy of the outflow, permitting the evolution of the bulk Lorentz factor Γ of the blast wave to be self-consistently calculated. The behavior of the system is shown to reproduce the hydrodynamic self-similar solutions in the relativistic and nonrelativistic limits, and the formalism is applicable to scenarios that are intermediate between the adiabatic and fully radiative regimes. Nonthermal particle energization through stochastic gyroresonant acceleration with magnetic turbulence in the blast wave is treated by employing energy-gain rates and diffusive escape timescales based on expressions derived in the quasi-linear regime. If the magnetic field in the shocked fluid approaches its equipartition value, this process can accelerate escaping particles to ≳1020 eV energies, consistent with the hypothesis that ultra-high-energy cosmic rays (UHECRs) are accelerated by GRB blast waves. Because of particle trapping by the magnetic turbulence, only the highest energy particles can escape during the prompt and afterglow phases of a GRB for acceleration by a Kolmogorov spectrum of MHD turbulence. Lower energy particles begin to escape as the blast wave becomes nonrelativistic and shock Fermi acceleration becomes more important.
Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization

In this paper, we propose a cognitive approach to design phase-only modulated waveforms sharing a desired range-Doppler response. The idea is to minimize the average value of the ambiguity function of the transmitted signal over some range-Doppler bins, which are identified exploiting a plurality of knowledge sources. From a technical point of view, this is tantamount to optimizing a real and homogeneous complex quartic order polynomial with a constant modulus constraint on each optimization variable. After proving some interesting properties of the considered problem, we devise a polynomial-time waveform optimization procedure based on the Maximum Block Improvement (MBI) method and the theory of conjugate-partial-symmetric/conjugate-super-symmetric fourth order tensors. At the analysis stage, we assess the performance of the proposed technique showing its capability to properly shape the range-Doppler response of the transmitted waveform.
Health-Risk Behaviors among Romanian Adolescents: A Quantitative Analysis based on Predictive Models [Comportamentele cu risc pentru sanatate in randul adolescentilor romani: o analiza cantitativa bazata pe modele predictive]

Engaging in physical and mental health risk behaviors is a manifestation of deviations from normal adolescent development path. Several dimensions encompassing factors that intervene in the adjustment of adolescents to developmental tasks and challenges have been demarcated. This correlational study aimed to identify protective and risk factors related to adolescents’ engagement in health risk behaviors. The sample included 556 Romanian adolescents (354 girls and 196 boys). Participants completed a standardized protocol based on thirteen questionnaires. Depending on the nature of criteria, hierarchical multiple linear regression analysis (controling for gender) or binomial logistic regression were used to test the predictive models. Results suggest that resilience in the face of adversities, religiosity, positive perception of family climate and the satisfaction with school are protective factors related to adolescents’ engagement in physical and mental health risk behaviors, such as smoking, alcohol use, unprotected sexual contacts or suicide attempts. Family, specialists working in school system and community services must join their efforts and focus interventions to control factors that promote resilience and positive development during adolescence.
The Association of Platelet Count with Clinicopathological Significance and Prognosis in Renal Cell Carcinoma: A Systematic Review and Meta-Analysis

Objective Elevated platelet count (PC), a measure of systemic inflammatory response, is inconsistently reported to be associated with poor prognosis in patients with renal cell carcinoma (RCC). We conducted a systematic review and meta-analysis to clarify the significance of PC in RCC prognosis. Methods PubMed, Embase, and Web of Science databases were searched to identify eligible studies to evaluate the associations of PC with patient survival and clinicopathological features of RCC. Results We analyzed 25 studies including 11,458 patients in the meta-analysis and categorized the included articles into three groups based on RCC stage. An elevated PC level was associated with poor overall survival (OS, hazard ratio [HR] 2.24, 95% confidence interval [CI] 1.87-2.67, P<0.001) and cancer-specific survival (CSS, HR 2.59, 95% CI 1.92-3.48, P<0.001) when all stages were examined together; with poor CSS (HR 5.09, 95% CI 2.41-10.73, P<0.001) and recurrence-free survival (HR 6.68, 95% CI 3.35-13.34, P<0.001) for localized RCC; with poor OS (HR 2.00, 95% CI 1.75-2.28, P<0.001) for metastatic RCC; and with poor OS (HR 2.05, 95% CI 1.04-4.03, P = 0.038), CSS (HR 3.38, 95% CI 1.86-6.15, P<0.001), and PFS (HR 2.97, 95% CI 1.47-6.00, P = 0.002) for clear cell RCC. Furthermore, an elevated PC level was significantly associated with TNM stage (OR 3.11, 95% CI 1.59-6.06, P = 0.001), pathological T stage (OR 3.13, 95% CI 2.60-3.77, P<0.001), lymph node metastasis (OR 4.01, 95% CI 2.99-5.37, P<0.001), distant metastasis (OR 3.85, 95% CI 2.46-6.04, P<0.001), Fuhrman grade (OR 3.70, 95% CI 3.00-4.56, P<0.001), tumor size (OR 4.69, 95% CI 2.78-7.91, P<0.001) and Eastern Cooperative Oncology Group score (OR 5.50, 95% CI 3.26-9.28, P<0.001). Conclusion An elevated PC level implied poor prognosis in patients with RCC and could serve as a readily available biomarker for managing this disease.
Overexpression of Wild-Type Heat Shock Protein 27 and a Nonphosphorylatable Heat Shock Protein 27 Mutant Protects Against Ischemia/Reperfusion Injury in a Transgenic Mouse Model

Background—The small heat shock protein 27 (hsp27) increases in expression with ischemia/reperfusion (I/R) insult in the heart. One feature of the small hsps is their ability to oligomerize and form intracellular aggregates. Oligomerization pattern is governed by the phosphorylation state of the protein that may influence their ability to protect against cellular stresses. Methods and Results—We generated transgenic (tg) mice that overexpress a wild-type human hsp27 (hsp27tg) protein or a mutant hsp27 protein (mut-hsp27tg), in which serine residues (aa15, aa78, and aa82) were replaced by alanine residues, rendering them incapable of phosphorylation. Using a Langendorff perfusion model and an intraventricular balloon, we subjected hearts to 20 minutes of ischemia followed by 1 hour of reperfusion. During reperfusion, negative and positive pressure derivatives as well as developed pressures were significantly higher in both hsp27tg and mut-hsp27tg compared with control (P<0.01) mice, with no significant difference between hsp27tg and mut-hsp27tg. Creatine kinase release during reperfusion was higher in control compared with both hsp27tg and mut-hsp27tg (P<0.05). Malondialdehyde content as well as protein oxidation products were lower in mut-hsp27tg compared with control (P<0.05). hsp27tg hearts possessed oligomers that ranged in size from small to large, whereas mut-hsp27tg hearts contained no small oligomers. Conclusions—These results indicate that in a tg mouse model, overexpression of either wild-type hsp27 or a nonphosphorylatable hsp27 mutant was equally capable of protecting the heart from I/R injury. Furthermore, the phosphorylation status of hsp27 may influence its ability to decrease oxidative stress.
Intron-dependent recruitment of pre-mRNA splicing factors to sites of transcription

We have examined the nuclear localization of transiently and stably expressed nascent RNA transcripts containing or lacking introns in order to determine if the spatial association of RNA transcripts and pre-mRNA splicing factors in nuclei is random or functionally significant. Our findings show that the association between nascent RNA and splicing factors in the nucleus is intron-dependent when the RNAs are either transiently or stably expressed. Furthermore, our data indicate that splicing factors are recruited to the transcription sites. The presence of both pre-and mRNA at these locations suggest that pre-mRNA splicing occurs at these sites of transcription. In addition, electron microscopic examination of the highly active transcription sites has revealed a granular appearance which closely resembles, but is functionally different from, interchromatin granule clusters. Our findings demonstrate that the nucleus is highly organized and dynamic with regard to the functions of the transcription and pre- mRNA splicing.
Analysis on enhancing storm to efficiently process big data in real time

The rapid growth of huge data has become a challenge to the data analysts in recent time. As the data is growing exponentially many techniques are on the rise, for processing the real time data. Many data processing models like Hadoop, Apache YARN, Mapreduce, Storm, and Akka are leading the Big Data domain. This paper analyses and compares all the data processing models stated above. Researchers are trying to increase the efficiency of the algorithms used in the data processing. In this paper, we propose two algorithms namely JATS and SD, which will enhance the efficiency of the storm data processing architecture.
Ridges and ravines on implicit surfaces

Surface creases provide us with important information about the shapes of objects and can be intuitively defined as curves on a surface along which the surface bends sharply. Our mathematical description of such surface creases is based on a study of extrema of the principal curvatures along their curvature lines. On a smooth generic surface we define ridges to be the local positive maxima of the maximal principal curvature along its associated curvature line and ravines to be the local negative minima of the minimal principal curvature along its associated curvature line. The ridges and ravines are important for shape analysis and possess remarkable mathematical properties. For example, they correspond to the end points of shape skeletons. In this paper we derive formulas to detect the ridges and ravines on a surface given in implicit form. We also propose an algorithm for obtaining piecewise linear approximation of ridges and ravines as intersection curves of two implicit surfaces.
An empirical study of admission control strategies in video servers

A video server guarantees the I/O bandwidth required for the smooth playback of a video access request once it has been admitted into the system. To ensure that new video access requests will not jeopardize the bandwidth guarantees promised to existing streams, an admission control module that decides whether a new request should be granted based on the resource usage is essential in the design of video servers. This paper presents a general framework in which video server admission control algorithms can be described in terms of how I/O delays are estimated. Then five specific admission control algorithms are studied in detail. The performances of these algorithms care analyzed in the context of an operational disk-array-based video server called SBVS. Detailed measurements from actual implementations of these admission control algorithms are used to compare their performances in terms of the maximum numbers of streams that can be admitted without causing overloads. One surprising result from this work is that the performance gap between the statistical and deterministic algorithms is between 10% to 40%, which is much smaller than were reported in earlier work.
Automatic Web Image Categorization by Image Content:A case study with Web Document Images

—Crawling in Web images has become a challenging problem today due to its rising popularity. Among the most valuable Web assets, Categorizing images on the Web is quite difficult. This paper proposes a simple and effective method to separate the Document Images from the available web image sources. This system concentrates on Automatic Image categorization process over web images by employing a filtering technique to discriminate the document images, available in WWW. The strength of this technique lies in capturing the Image information by intensity and frequency histograms for discrimination of web document images.
Coach, parent, and administrator perspectives on required coaching education in organized youth sport

Previous studies have primarily relied on coaches’ perspectives about whether and how to provide formal coaching education in youth sport. This study was designed to highlight multiple perspectives from key stakeholders (i.e., coaches, parents, and administrators) about the need for required formal coaching education programs in a youth sport community. We applied Bronfenbrenner’s process-person-context-time framework to understand views on required coaching education and children’s development through sport from an ecological vantage. The sample included 202 coaches, 309 parents, and 38 administrators who were involved in youth sport. In an online survey, participants were asked whether they agreed or disagreed that coaching education should be required, followed by an open-ended question asking them to elaborate on their answer. Quantitatively, the majority of participants agreed or strongly agreed that coaching education should be required. Inductive–deductive qualitative analyses resulted in 49 lower order themes representing 11 higher order themes that spanned the four categories of the process-person-context-time framework. Themes highlighted both convergence and divergence among the perspectives of coaches, parents, and administrators about why coaching education should or should not be required.
Application of Smart Materials to Wireless ID Tags and Remote Sensors

Material structures having an electromagnetic or magnetomechanical resonance can be excited or detected remotely using an antenna. Incorporating smart materials into such structures provides new opportunities to encode ID and sensor information in the electromagnetic signature of the “tag. ” In this way, it is possible to create tags which not only have a unique ID but which can also respond to local changes in their environment (e. g. force, temperature, light, etc.). This principle forms the basis for a low-cost wireless ID and wireless sensor technology which has many potential applications in manufacturing, inventory control, security, surveillance, and new human-computer interfaces. As a means of illustrating this concept, two simple examples are given: a force sensor incorporating a piezoelectric polymer and a relative position sensor which incorporates a magnetoelastic amorphous metal ribbon.
Support and Plausibility Degrees in Generalized Functional Models

By discussing several examples, the theory of generalized functional models is shown to be very natural for modeling some situations of reasoning under uncertainty. A generalized functional model is a pair (f, P) where f is a function describing the interactions between a parameter variable, an observation variable and a random source, and P is a probability distribution for the random source. Unlike traditional functional models, generalized functional models do not require that there is only one value of the parameter variable that is compatible with an observation and a realization of the random source. As a consequence, the results of the analysis of a generalized functional model are not expressed in terms of probability distributions but rather by support and plausibility functions. The analysis of a generalized functional model is very logical and is inspired from ideas already put forward by R.A. Fisher in his theory of fiducial probability.
Comparative genome sequence analysis by efficient pattern matching technique

Genetic Sequences of different species contain precious biological information. This information is hidden in the order of appearing nucleotide base characters (A-Adenine, T-Thymine, G-Guanine and C-Cytosine), this order is definitely variant in different organisms but one can conclude some of the similarities and differences in nature, habits and living of species by comparing the biological information contained in sequence. In this paper, we are presenting an algorithm that provides approximate comparative match between any input strands. It will overcome the draw backs and short comings in prevailing techniques. It becomes most difficult to find approximate match when Genome Adoptive Points (GAPS) are present in the input sequences, this algorithms tries to handle the complex situations and finds the number of approximate matches for optimal results.
Provision of Mental Health Services to Students With Emotional and Behavioral Disorders

Mental health is quickly becoming a major topic of concern in education, particularly as it relates to the provision of services for students with emotional and behavioral disorders. In this study, state policies related to the provision of mental health services were reviewed, with specific attention paid to the capacity of services and relationships between state policies and the educational environment. Open coding was used to determine the variables and services provided within each state’s policies. Axial coding was used to determine relationships between codes and ensure alignment and accuracy of findings. Interrater reliability, using a 7-point rubric, was conducted to ensure accuracy of coding. Findings indicate that the majority of states have policies related to the provision of mental health services, but the structure and implementation of these services differ vastly by state. Similarities were found in the provision of mental health services within the educational environment, which typically occurred as a collaboration between schools and community agency partnerships. Implications for practice and the preparation of educational professionals will be discussed.