Miracle-dz/UniFAR-FTUs huggingface dataset:
Stability of singular NCSs with time-varying delay and multiple-packet transmission

This paper deals with the problems of the modeling, exponential stability and controller design for singular networked control systems (NCSs) with time-varying delay and multiple-packet transmission. Considering the existence of time-delay and packet dropout, the model of singular NCS with multiple-packet transmission and dynamical output feedback is obtained, which is an asynchronous dynamical system (ADS) constrained by event rates. Based on the theory of ADS, Lyapunov stability theory and linear matrix inequality method, the negative semi-definite matrix conditions of exponential stability and controller design method for the singular NCSs with multiple-packet transmission are presented. Furthermore, a numerical example is given to illustrate the feasibility of the proposed semi-definite matrix conditions of exponential stability and controller design method.
NP-sets are Co-NP-immune relative to a random oracle

We prove that the class NP has Co-NP-immune sets relative to a random oracle. Moreover, we prove that, relative to a random oracle, there are L/spl isin/P and NP-set L/sub 1//spl sub/L such that both L/sub 1/ and L|L/sub 1/ are infinite, L/sub 1/ has no infinite Co-NP-subsets and L|L/sub 1/ has no infinite NP-subsets. The second theorem implies both the first theorem and the theorem in Vereshchagin (1993) that Co-NP has NP-immune sets relative to a random oracle. <<ETX>>
Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data

While finding natural clusters in high dimensional data is in itself a challenge, the dynamic nature of data adds another greater challenge. Many applications such as Data Warehouses and WWW demand the presence of efficient incremental clustering algorithms to handle their dynamic data. So far, numerous useful incremental clustering algorithms have been developed for large datasets such as incremental K-means, incremental DBSCAN, similarity histogram-based clustering (SHC) and mean shift. However, targeting clusters of different shapes and densities is yet to be efficiently tackled. In this work, an efficient incremental clustering algorithm (Incremental Mitosis) is proposed. It is based on Mitosis clustering algorithm which maximizes the relatedness of distances between patterns of the same cluster. The proposed algorithm is able to discover clusters of arbitrary shapes and densities in dynamic high dimensional data. Experimental results show that the proposed algorithm efficiently clusters the data and maintains the accuracy of Mitosis algorithm.
Perceptions Regarding the Efficacy and Use of Professional Portfolios in the Employment of Teachers

This study explored the perceptions of school administrators and teacher educators regarding the effective use of portfolios in the process of hiring new teachers. Three questions helped to focus this study: (1) What are the perceptions of school administrators and teacher educators regarding the value and use of portfolios in the employment of teachers? (2) What are the perceptions of school administrators and teacher educators regarding the quality and accuracy of teaching portfolios in documenting applicants' teaching skills? (3) What are the perceptions of school administrators and teacher educators regarding the problems and barriers in the use of teaching portfolios in the hiring process? Advantages and disadvantages regarding portfolios as an effective tool in the hiring process were identified along with several barriers to their more extensive use. Both teacher educators and school administrators reported that a high percentage of new teacher candidates are still using more traditional paper-based portfolios rather than ePortfolios. From the study emerged a clearer picture of how professional ePortfolios might be more effectively developed and used in the teacher interview and employment process to overcome some of the barriers identified by participants to the effective use of portfolios.
Analysis of Non-Linear Attitude Observers for Time-Varying Reference Measurements

This paper provides a comprehensive stability analysis of a suite of nonlinear attitude observers that have been developed over the last few years. The observers considered are based on vectorial measurements of an a priori known reference direction. By treating the reference direction and the measurement in the same analysis framework, and allowing time-variation of either, we are able to define general persistency of excitation criteria that incorporate and generalize convergence criteria used in prior work. A key outcome is conditions that ensure almost global asymptotic and local exponential stability of attitude observers based on a single vector measurement as long as the excitation conditions are met on the reference and system trajectory. The approach generalizes stability results provided in prior work, based on rank conditions, that required at least two or more vector measurements.
, business analytics with sentiment analysis

Nowadays in a world where we see a mountain of data sets around digital world, Amazon is one of leading e-commerce companies which possess and analyze these customers’ data to advance their service and revenue. In order to understand the power of text mining, we utilize these data sets to have a better understanding of the perspectives between stock price and customer comments. We also use machine learning techniques for fake review detection and trend patterns.
CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices

Mobile-enabled social networks applications are becoming increasingly popular. Most of the current social network applications have been designed for high-end mobile devices, and they rely upon features such as GPS, capabilities of the world wide web, and rich media support. However, a significant fraction of mobile user base, especially in the developing world, own low-end devices that are only capable of voice and short text messages (SMS). In this context, a natural question is whether one can design meaningful social network-based applications that can work well with these simple devices, and if so, what the real challenges are. Towards answering these questions, this paper presents a social network-based recommender system that has been explicitly designed to work even with devices that just support phone calls and SMS. Our design of the social network based recommender system incorporates three features that complement each other to derive highly targeted ads. First, we analyze information such as customer's address books to estimate the level of social affinity among various users. This social affinity information is used to identify the recommendations to be sent to an individual user. Second, we combine the social affinity information with the spatio-temporal context of users and historical responses of the user to further refine the set of recommendations and to decide when a recommendation would be sent. Third, social affinity computation and spatio-temporal contextual association are continuously tuned through user feedback. We outline the challenges in building such a system, and outline approaches to deal with such challenges.
Problems and Barriers in Children's Learning When They Transit From Kindergarten to Kindergarten Class in School

SUMMARY Starting school can take the character of a culture shock, thus a series of so-called transition activities has been carried out in order to bridge kindergarten and school. However, a case study on four children's transition from kindergarten to school expressed a paradox. Though these children had been involved in transition activities and also appropriated a foundation of basic competencies they were not able to make use of these in the school environment. This may be understood in a theoretical framework of situated learning and calls for a new educational practice, both in kindergarten and in school.
Microstrip Wideband Bandpass Filter Based on Square Ring Loaded Resonator

In this paper, a compact microstrip wideband bandpass fllter (BPF) based on square ring loaded resonator (SRLR) is proposed. The SRLR is formed by loading a pair of bent open-stubs outside the diagonal corners of a square ring, which generates three split degenerated modes. The flrst two split modes form a dominant wideband passband. By introducing another pair of loaded open-stubs, the third split mode is moved into the passband to achieve an extra bandwidth for the wideband passband. Measured results show that this proposed BPF has a 3dB fractional bandwidth of 69%, and the insertion loss of the BPF is less than 1.0dB.
The Effects of Apigenin on the Expression of Fas/FasL Apoptotic Pathway in Warm Liver Ischemia-Reperfusion Injury in Rats

Background. The aim of this experimental study was to investigate the role of apigenin in liver apoptosis, in an experimental model of hepatic ischemia-reperfusion in rats. Materials and Methods. Forty-eight Wistar rats (apigenin and control groups), 14 to 16 weeks old and weighing 220 to 350 g, were used. They were all subjected to hepatic ischemia by occlusion of the hepatic artery and portal vein for 45 minutes and reperfusion was followed for 60, 120, and 240 minutes. Apigenin was administrated intraperitoneally. Liver tissues were used for the detection of apoptosis by TUNEL assay and caspase 3 antibodies. Expression analysis of Fas/FasL genes was evaluated by real time PCR. Results. The expression analysis of Fas and FasL genes was increasing during reperfusion (significantly in the group of 240 minutes of reperfusion). It was in the same group that apigenin decreased Fas receptor levels and inhibited apoptosis as confirmed by TUNEL assay and caspase 3 antibodies. Conclusions. The effects of apigenin in the Fas/FasL mediated pathway of apoptosis, in the hepatic ischemia-reperfusion, seem to have a protective result on the hepatic cell.
Validity Test of Lean Healthcare using Lawsheâ€™s Method

ABSTRACT : The objective of this paper is to measure the validity of lean healthcare in the healthcare sector specifically in the Malaysia’s private hospitals. Validation of content is significantly important to ensure the development of questionnaires is an appropriate to measure the subject. Thus, content validity has been conducted to ensure the adapted instrument from the previous studies by using seven Subject Matter Expert (SME) to validate the instrument. Next, Lawshe’s method was consumed for the purpose to scale or measure the content validity of each item. From the result, it indicates the result has fulfilled the minimum criteria of Lawshe’s scale with more than half saying “essential”, denotes as an E compared to U “useful but not essential” and N “not necessary”. In conclusion, although it considered as classical measurement, but the Lawshe’s method still significant as one of the statistical method in quantitative study to determine the validity of each item.
Twin "Fano-Snowflakes" over the Smallest Ring of Ternions

Given a finite associative ring with unity, R, any free (left) cyclic submodule (FCS) generated by a unimodular (n + 1)-tuple of elements of R represents a point of the n-dimensional projective space over R. Suppose that R also features FCSs generated by (n+1)-tuples that are not unimodular: what kind of geometry can be ascribed to such FCSs? Here, we (partially) answer this question for n = 2 when R is the (unique) non-commutative ring of order eight. The corresponding geometry is dubbed a "Fano-Snowflake" due to its diagrammatic appearance and the fact that it contains the Fano plane in its center. There exist, in fact, two such configurations - each being tied to either of the two maximal ideals of the ring - which have the Fano plane in common and can, therefore, be viewed as twins. Potential relevance of these noteworthy configurations to quantum information theory and stringy black holes is also outlined.
Prognostic Significance of Mucin Antigen MUC1 in Various Human Epithelial Cancers

AbstractAccumulating evidence indicates that mucin antigen MUC1 plays a fundamental role in the initiation and progression of several types of epithelial carcinomas. However, whether the expression of MUC1 on tumor cells is associated with patients’ survival remains controversial.Medline/PubMed, EMBASE, the Cochrane Library, Chinese National Knowledge Infrastructure (CNKI) databases, and Grey literature were searched up to 15 August 2015 for eligible studies of the association between the MUC1 expression and overall survival (OS) in various epithelial cancers. The hazard ratio (HR) and its 95% confidence interval (CI) were calculated from the included studies. Moreover, the odds ratio (OR) was also extracted to evaluate the association between the clinicopathological parameters of participants and MUC1 expression.A total of 3425 patients covering 23 studies were included in the analysis. The pooled results showed that positive MUC1 staining was a negative predictor of OS (HRFEM = 1.98,95% CIFEM: 1.76–2.22, PFEM = 0.479; HRREM = 2.16,95% CIREM: 1.58–2.94, PREM = 0.355) in various epithelial carcinomas. Subgroup analysis revealed that the increased MUC1 expression was significantly associated with poor OS in patients with gastric cancer (HRFEM = 2.12, 95%CIFEM: 1.75–2.57, PFEM = 0.359; HRREM = 1.89, 95% CIREM: 1.05–3.41, PREM = 0.238), colorectal cancer (HRFEM = 1.73, 95%CIFEM: 1.41–2.13, PFEM = 0.048; HRREM = 2.00,95% CIREM: 1.46–2.73, PREM = 0.019), cholangiocarcinoma (HRFEM = 2.52, 95% CIFEM: 1.42–4.49, PFEM = 0.252; HRREM = 2.34, 95% CIREM: 1.30–4.22, PREM = 0.244), and nonsmall cell lung cancer (NSCLC) (HRFEM = 2.14, 95% CIFEM: 1.46–3.14, PFEM = 0.591; HRREM = 2.81, 95% CIREM: 1.40–5.64, PREM = 0.280). In addition, MUC1 overexpression was more likely to be found in colorectal cancer patients with an advanced tumor node metastasis stage (ORREM = 1.55, 95% CIREM: 1.06–2.27; PREM = 0.187) and in gastric cancer patients with positive lymph node metastasis (ORREM = 2.37, 95% CIREM: 1.19–4.73; PREM = 0.004) and intestinal-type classification (ORREM = 2.34, 95% CIREM: 1.59–3.45; PREM = 0.767). Our findings provide evidence that MUC1 detection has a prognostic value in patients with epithelial-originated cancers, especially in NSCLC and gastrointestinal cancers.
Worlds in Collision- Ethernet and the Factory Floor

Over the past few years the world of industrial controls has borrowed substantially from the world of information systems. Technologies such as Ethernet and TCP/IP have made the interfacing of industrial equipment much easier, but there is now significantly less isolation from the outside world. Network security problems from the business network can be passed on to the process network, putting industrial production and human safety at risk. This paper evaluates these risks to industrial control systems from both accidental and malicious intrusion. The first portion summarizes an analysis of reported incidents in industrial environments and their effects on process systems. The second part describes a series of tests developed and conducted at the BCIT Internet Engineering Lab to determine possible security weaknesses in common programmable logic controllers. Based on these results, recommendations are presented on designing network security for critical industrial control installations.
An Invisible Color Watermarking Framework for Uncompressed Video Authentication

Digital video contents now become easily available through internet and various media. The ease of availability made digital video popular over analog media like film or tape. At the same time it demands a sharp attention regarding the ownership issue. The ownership and integrity can easily be violated using different video editing softwares. In this regard we are proposing a framework which is able to embed a color watermark logo into the video frames of a video content. The quality of original video doesn’t degrade, because in watermarked video, the color watermark is perceptually invisible to Human Visual System (HVS). As we are proposing blind extraction method, at the extraction end the prior knowledge of watermark or original video is not needed. The security issue is ensured with the help of a hash function and a secret key. The robustness of the proposed system is proven against different intentional attacks. Prof. Atal Chaudhuri Jadavpur University Dr. Monalisa Banerjee Techno India, Salt Lake The full text of the article is not available in the cache. Kindly refer the IJCA digital library at www.ijcaonline.org for the complete article. In case, you face problems while downloading the full-text, please send a mail to editor at editor@ijcaonline.org
An improved simulated annealing algorithm for process mining

The target of process mining is to automatically extract process models from event logs related to actual business process executions. One of the most important fields concerned is control flow mining, i.e., ordering of activities. However, the presence of complicated constructs, such as duplicate tasks, invisible tasks and non-free-choice structures, hinders us from correctly discovering the relations between activities. Therefore, an improved simulated annealing approach is proposed in this paper to tackle these problems. To verify the performance, experiments are conducted in the process minig framework. The result is expressed in terms of Petri net.
Biosocial Interactions Between Relational Victimization and Physiological Stress Reactivity in Relation to Anxious/Depressive Symptoms and Cognitive Biases in Adolescent Girls

Abstract:The purpose of the current investigation was to examine if autonomic nervous system reactivity moderated the association between relational victimization and two established outcomes of peer maltreatment, anxious/depressive symptoms and anxious rejection sensitivity. A total of 119 female (Mage = 12.47, SDage = 1.96) attendees of a residential summer camp participated. Participants' skin conductance and respiratory sinus arrhythmia were assessed during a laboratory stress protocol. Counselors reported on participants' relational victimization and anxious/depressive symptoms. Anxious rejection sensitivity was measured via self-report. Relational victimization was positively associated with both anxious/depressive symptoms and anxious rejection sensitivity among girls who exhibited reciprocal sympathetic nervous system (SNS) activation (i.e., high SNS reactivity and parasympathetic nervous system [PNS] withdrawal). Relational victimization was also positively associated with anxious/depressive symptoms among girls who exhibited reciprocal PNS activation (i.e., low SNS reactivity and PNS activation), although this effect was smaller in magnitude than findings for girls who exhibited reciprocal SNS activation. Results underscore the biosocial interactions between relational victimization and physiological reactivity in the prediction of anxious/depressive symptoms and anxious rejection sensitivity.
The God of Chance and Purpose

ABSTRACT The author argues that ontological randomness is genuine, and that God does not determine the outcome of every scientifically random event, but instead controls randomness by setting broad boundaries. Through paleontological examination, this paper looks at how randomness shapes the world from the bottom up. However, the phenomena known as convergence indicate that evolution through natural selection may proceed along various paths, but the destinations are few. Thus there is a dichotomy: randomness is constrained within pattern.
Why Don't We Move Faster? Parkinson's Disease, Movement Vigor, and Implicit Motivation

People generally select a similar speed for a given motor task, such as reaching for a cup. One well established determinant of movement time is the speed–accuracy trade-off: movement time increases with the accuracy requirement. A second possible determinant is the energetic cost of making a movement. Parkinson's disease (PD), a condition characterized by generalized movement slowing (bradykinesia), provides the opportunity to directly explore this second possibility. We compared reaching movements of patients with PD with those of control subjects in a speed–accuracy trade-off task comprising conditions of increasing difficulty. Subjects completed as many trials as necessary to make 20 movements within a required speed range (trials to criterion, Nc). Difficulty was reflected in endpoint accuracy and Nc. Patients were as accurate as control subjects in all conditions (i.e., PD did not affect the speed–accuracy trade-off). However, Nc was consistently higher in patients, indicating reluctance to move fast although accuracy was not compromised. Specifically, the dependence of Nc on movement energy cost (slope SN) was steeper in patients than in control subjects. This difference in SN suggests that bradykinesia represents an implicit decision not to move fast because of a shift in the cost/benefit ratio of the energy expenditure needed to move at normal speed. SN was less steep, but statistically significant, in control subjects, which demonstrates a role for energetic cost in the normal control of movement speed. We propose that, analogous to the established role of dopamine in explicit reward-seeking behavior, the dopaminergic projection to the striatum provides a signal for implicit “motor motivation. ”
EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover's Distance

The Earth Mover's Distance, or EMD for short, has been proven to be effective for content-based image retrieval. However, due to the cubic complexity of EMD computation, it remains difficult to use EMD in applications with stringent requirement for efficiency. In this paper, we present our new system, called EUDEMON, which utilizes new techniques to support fast Online Video Frame Copy Detection based on the EMD. Given a group of registered frames as queries and a set of targeted detection videos, EUDEMON is capable of identifying relevant frames from the video stream in real time. The significant improvement on efficiency mainly relies on the primal-dual theory in linear programming and well-designed B+ tree filters for adaptive candidate pruning. Generally speaking, our system includes a variety of new features crucial to the deployment of EUDEMON in real applications. First, EUDEMON achieves high throughput even when a large number of queries are registered in the system. Second, EUDEMON contains self-optimization component to automatically enhance the effectiveness of the filters based on the recent content of the video stream. Finally, EUDEMON provides a user-friendly visualization interface, named EMD Flow Chart, to help the users to better understand the alarm with the perspective of the EMD.