Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensuring continuous compliance through reconciling policy with usage

Organizations rarely define formal security properties or policies for their access control systems, often choosing to react to changing needs. This paper addresses the problem of reconciling entitlement usage with configured policies for multiple objectives: policy optimization and risk mitigation. Policies should remain up-to-date, maintaining least privilege, and using unambiguous constructs that reduce administrative stress. We describe a number of algorithms and heuristics, validated on real-world data, to address various aspects of reconciling access control policies with security audit logs. The first set of algorithms track and correlate which policy items enable which actions, using which we can identify over privileged entitlements, redundant policy items that may not be correctly revoked by administrators, rarely used entitlements, and overly permissive entitlements. They can help reduce administrative errors and general operational risk. The second body of work compares user groups defined in the policy with roles generated from the actual usage patterns, from which we derive quality and security measures for policy groups. Finally, we track policy changes through assignments and revocations and test precursors for such changes (e.g., a failed request before an assignment). Broadly speaking, this body of work presents different facets of continuous compliance to see if the enforced security policy and the resulting usage is consistent with a common intended security goal.
View-Based 3 D Object Recognition Using SNoW

This paper describes a novel view-based algorithm for 3D object recognition using a network of linear units. The SNoW learning architecture is a sparse network of linear functions over a pre-defined or incrementally learned featu re space and is specifically tailored for learning in the presen ce of a very large number of features. We use the pixel-level representation in the experiments and compare the performance of SNoW with Support Vector Machines and nearest neighbor methods on 3D object recognition using the 100 objects in the Columbia Image Object Database (COIL100). Experimental results show that SNoW-based method outperform SVM-based system in terms of recognition rate and the computational cost involved in learning. The empirical results also provide insight for practical and theoret ical considerations on view-based methods for 3D object recognition.
Teamwork: A Decentralized, Secure and Portable Team Management System

We present Teamwork, an easy to use, portable system for team management. The distinguishing key feature of our solution is enhanced privacy provided by two means. First of all, all user content is moved from the cloud directly to users' devices, which share the data through a Peer-to-Peer overlay network for content distribution. Secondly, all content transferred through the network is secured in order to protect it from eavesdropping. Content is stored in files distributed through the Peer-to-Peer file system component named Teamshare. User's cognitive load is reduced by merging abstractions such as groups, organizations and projects into one simple concept teams. The system is tightly integrated with existing mailing protocols, such that any task is an email.
Task Familiarity and Interactional Feedback in Child ESL Classrooms

In this article we report on a study undertaken with ESL children between 7 and 8 years old. They carried out communicative tasks in pairs in second language classrooms. We examined patterns of their taskbased conversational interactions while we manipulated their familiarity with the procedure and content of the tasks. We found that learners working through unfamiliar tasks (in terms of both content and procedure) produced more clarification requests and confirmation checks and provided more corrective feedback on nontargetlike utterances to each other. However, learners engaged in procedurally familiar tasks had more opportunities to use feedback, and learners engaged in tasks that were familiar in both content and procedure showed more actual use of feedback.
Mapping Irregular Applications to DIVA, a PIM-based Data-Intensive Architecture

Processing-in-memory (PIM) chips that integrate processor logic into memory devices offer a new opportunity for bridging the growing gap between processor and memory speeds, especially for applications with high memory-bandwidth requirements. The Data-IntensiVe Architecture (DIVA) system combines PIM memories with one or more external host processors and a PIM-to-PIM interconnect. DIVA increases memory bandwidth through two mechanisms: (1) performing selected computation in memory, reducing the quantity of data transferred across the processor-memory interface; and (2) providing communication mechanisms called parcels for moving both data and computation throughout memory, further bypassing the processor-memory bus. DIVA uniquely supports acceleration of important irregular applications, including sparse-matrix and pointer-based computations. In this paper, we focus on several aspects of DIVA designed to effectively support such computations at very high performance levels: (1) the memory model and parcel definitions; (2) the PIM-to-PIM interconnect; and, (3) requirements for the processor-to-memory interface. We demonstrate the potential of PIM-based architectures in accelerating the performance of three irregular computations, sparse conjugate gradient, a natural-join database operation and an object-oriented database query.
Crime News and the Priming of Racial Attitudes during Evaluations of the President

This study explores the news media's ability to activate racial attitudes via stereotypic portrayals of minorities in common local crime coverage. The central hypothesis is that crime news containing minority suspects primes racial attitudes, which are subsequently brought to bear on evaluations of political candidates. In an experiment, subjects were shown no crime story, a story with nonminority suspects, or a story featuring minority suspects. President Clinton's support suffered when any crime story was present, but his support was lowest among those who saw news with minority suspects. Evaluation of Clinton's performance on crime was primed powerfully by exposure to crime news, and this effect was largest when the suspects in the story were nonwhite. Spreading activation to performance on welfare, another race-coded issue, was also evident among those exposed to racially stereotypic crime stories. Finally, among whites, exposure to minority suspects boosted the importance of the president's concern for whites as a predictor of his overall support. These results suggest that implicitly racial issues are connected in memory and can be simultaneously activated by common news coverage. The findings prompt further consideration of the political impact of stereotype-reinforcing news
Possible Inhibition of Focal Cerebral Ischemia by Angiotensin II Type 2 Receptor Stimulation

Background—The role of angiotensin II receptor subtypes was investigated in focal brain ischemia induced by middle cerebral artery (MCA) occlusion. Methods and Results—In Agtr2+ (wild-type) mice, MCA occlusion induced focal ischemia of ≈20% to 30% of the total area in coronal section of the brain. The ischemic area was significantly larger in angiotensin II type 2 receptor–deficient (Agtr2−) mice than in Agtr2+ mice. The neurological deficit after MCA occlusion was also greater in Agtr2− mice than in Agtr2+ mice. The decrease in surface cerebral blood flow after MCA occlusion was significantly exaggerated in the peripheral region of the MCA territory in Agtr2− mice. Superoxide production and NADPH oxidase activity were enhanced in the ischemic area of the brain in Agtr2− mice. An AT1 receptor blocker, valsartan, at a nonhypotensive dose significantly inhibited the ischemic area, neurological deficit, and reduction of cerebral blood flow as well as superoxide production and NADPH oxidase activity in Agtr2+ mice. These inhibitory actions of valsartan were weaker in Agtr2− mice. Conclusions—These results suggest that AT2 receptor stimulation has a protective effect on ischemic brain lesions, at least partly through the modulation of cerebral blood flow and superoxide production.
A longitudinal study of streptococcus pneumoniae carriage in healthy children in the 13-valent pneumococcal conjugate vaccine era

Few epidemiological data are available after the introduction of the 13-valent pneumococcal vaccine (PCV13) in 2010. We performed repeat nasopharyngeal swabs and evaluated the serotype distribution of Streptococcus pneumoniae (SP) and its association with PCV13 vaccine status in healthy Italian children aged 3–59 months. SP serotypes were assessed by the Quellung reaction. 618 children appropriately (28%) or incompletely (72%) vaccinated for age with PCV13 were available at baseline (T0). 515 were re-evaluated at 6 months from baseline (T6) and 436 at 12 months from baseline (T12). The percentage of appropriately vaccinated subjects at T0, T6 and T12 was 28%, 67% and 92%, respectively. Random effects logistic regression models with robust 95% confidence intervals was used to estimate the time-related changes in SP and PCV13 carriage and marginal probabilities were obtained from such models. The age-corrected probability of SP carriage was 0.31 (95% CI 0.22 - 0.41) at T0, 0.32 (0.24 - 0.40) at T6 and 0.28 (0.20 - 0.35) at T12. The probability of PCV13 serotypes carriage was 0.025 (0.001 - 0.050) at T0, 0.018 (0.001 - 0.039) at T6 and 0.010 (0.001 - 0.023) at T12. A decrease in PCV13 serotypes and a shift in non-PCV13 serotypes colonization was observed. In particular, the 15A serotype accounted for 4%, 8% and 23% of SP isolates at T0, T6 and T12, respectively. In conclusion, the benefits of the PCV13 vaccination on SP carriage increase with increasing coverage rates. The shift of SP isolates toward non-PCV13 serotypes needs to be studied further.
Expressive Equivalence of Formalisms for Planning with Sensing

There have been several proposals for expressing planning problems with different forms of uncertainty, including non-determinism and partial observability. In this paper we investigate two questions. First, the restriction to certain normal forms of operators, for example, restricting to operators in which nondeterministic choice must be outside conditional effects, or vice versa. We show that some such restrictions lead to an exponentially less succinct representation of problem instances. Second, we consider the problem of reducing certain features of formalisms for planning problem to other, more basic features. We show that compound observations can be reduced to atomic observations, sensing uncertainty can be reduced to effect uncertainty, dependence of observations on the operator last applied (special sensing actions) can be reduced to the case in which same observations are always possible. We show that these reductions are possible without significantly affecting quantitative properties of problem instances. One reduction doubles plan length, and the others do not affect plan length and only increase problem instance size slightly.
Psychological Skills Do Not Always Help Performance: The Moderating Role of Narcissism

Psychological skills are typically viewed as beneficial to performance in competition. Conversely, narcissists appear to thrive in competitive environments so should not need psychological skills to the same degree as less narcissistic individuals. To investigate this moderating hypothesis high-standard ice-skaters completed measures of narcissism, psychological skills, and anxiety before performing their competition routine during training. A week later, participants performed the same routine in competition. Performance was operationalized as the difference between competition and training scores. Moderated regression analyses revealed that narcissism moderated the relationship between psychological skills and performance. Psychological skill effectiveness depends on an individual's degree of narcissism.
Low Complexity Decoders for Combined Space Time Block Coding and V-BLAST

Low complexity decoding schemes are presented for combined space time block coding and V-BLAST options in Enhanced Wireless Consortium draft for IEEE 802.11n. the authors exploit the structure of the transmitted data in developing the schemes. They are introduced for a frequency flat fading scenario and the diversity orders they yield are analyzed. The techniques are extended to orthogonal frequency division multiplexing mode of baseband modulation, and the impact of spatial correlation among the antennas is studied. Simulations are used to validate the predicted performance of the proposed schemes, predicted from the diversity order analysis. Also, their performance is compared with that of zero forcing successive interference cancellation (ZF-SIC). Computational complexities of the proposed as well as that of ZF-SIC are evaluated. The results show that one of the proposed schemes performs like ZF-SIC while its computational complexity is about one-half of that of ZF-SIC. Simulations with TGn channels, which are frequency selective channels and have spatial correlation, show that the performance degrades with increasing correlation.
Energy expenditure of trans-tibial amputees during ambulation at self-selected pace

The purpose of this investigation was two-fold: 1) to compare the metabolic cost (VO2), heart rate (HR), and self-selected speed of ambulation of trans-tibial amputees (TTAs) with those of non-amputee subjects; and 2) to determine whether a correlation exists between either stump length or prosthesis mass and the energy cost of ambulation at the self-selected ambulation pace of TTAs. Subjects were thirty-nine healthy male non-vascular TTAs between the ages of 22 and 75 years (mean ± sd = 47 ± 16). All had regularly used their prosthesis for longer than six months and were independent of assistive ambulation devices. Twenty-one healthy non-amputee males aged 27–47 years (31 ± 6) served as controls. Subjects ambulated at a self-selected pace over an indoor course, with steady-state VO2, HR, and ambulation speed averaged across minutes seven, eight and nine of walking. Results showed that HR and VO2 for TTAs were 16% greater, and the ambulation pace 11% slower than the non-amputee controls. Significant correlations were not observed between stump length or prosthesis mass and the energy cost of ambulation. However, when the TTA subject pool was stratified on the basis of long and short stump length, the former sustained significantly lower steady-state VO2 and HR than the latter while walking at comparable pace. These data indicate that stump length may influence the metabolic cost of ambulation in TTAs.
Smart recommendation by mining large-scale GPS traces

Recommending good driving paths is valuable to taxi drivers for reducing unnecessary waste in fuel and increasing revenue. Driving only according to personal experience may lead to poor performance. With the availability of large-scale GPS traces collected from urban taxis, we have the curiosity about whether we can discover the hidden knowledge in the trace data for smart driving recommendation. This paper focuses on developing a smart recommender system based on mining large-scale GPS trace datasets from a large number of urban taxis. However, such the trace datasets are in nature complex, large-scale, and dynamic, which makes mining the datasets particularly challenging. We first extract vehicular mobility pattern from the large-scale GPS trace datasets. Then, the optimal driving process is modeled as a Markov Decision Process (MDP). Solving the MDP problem results in the optimal driving strategy that gives smart recommendation for taxi drivers. In essence, the most rewarding driving paths can be derived in the long run. We have conducted extensive trace driven simulations and conclusive results show that our recommendation algorithm can successfully find good driving paths and outperforms other alternative algorithms.
Exposure to the Color Red Enhances Creative Thinking Depending on Appetitive-Aversive Cues

This research explored the notion that the effect of the color red on creative thinking varies depending on someone's appetitive (vs. aversive) motivational orientation prior to the creative act. Specifically, inducing approach-related appetite (relative to avoidance-related aversion) in participants would enhance creative thinking, because the color red then triggers the approach-related meaning of potential success. A classroom experiment using a Remote Associates Test showed that appetition (relative to aversion), indeed, yielded more creativity for red than for blue. These results confirmed this article's prediction, and especially contribute to existing color research on the context specificity of the color red.
An Improved Collaborative Recommender System

Collaborative Filtering is widely used in the recommendation system which gives recommendation based on the similar liking users. The Collaborative Recommender System (CR) suffers from sparsity and cold-start problems. We design and implementation an intelligent kernel based Fuzzy Collaborative Recommender System for map user needs to products that can satisfy them based on ratings. In this paper we present an intelligent, smoothened, fuzzy kernel based approach to solving this problem. The system is intelligent, so the user gets recommendation based on fuzzy similarity with the neighbours. The approach is smoothened, so it uses radial basis function network to smooth the sparse rating matrix. In this manner, it allows the efficient determination of products that meet the user’s requirements. Experimental results based on the Movie lens dataset show that the proposed system only by smoothening provides more than 95% accuracy for existing users in the highly sparse data. The results proved that the proposed system outperforms existing systems such as Support Vector Machine, Multi Layer Perceptron, Bayesian, and Singular Value Decomposition, in terms of accuracy and relevance of recommendations. Finally the system is developed for our college library book application and it is tested by our college students.
Platelet Count and Mean Platelet Volume-Key Hematological Indices in Determination of Various Clinical Perspectives-A Review

The key role of Platelet is well known and studied in both physiological and clinical point of view in presumption of numerous aberrances. Moreover, it is the most indispensable and constitutional component of blood whose participation and activity is needed for the normal regulation of human physiology. The building mechanism of haemostatic plug at the site of injury is a quite interesting phenomenon, executed by these small platelets to stop blood shedding. Considering this event of bleeding arrestment, several works have been put forwarded to demonstrate the role of platelets and platelet related parameters. This review focuses on Platelet count and Mean Platelet Volume (MPV), which are found to be the most significant and extraordinary components of blood in assumption of various atypical facets interlinked with these hematological indices. A number of platelet defects have been recognized by many researchers to expose the various atherosclerotic complications, arises due to increased platelet activity. Instead, the size and morphology of platelet, the receptors provided on its surface unlocks many mysteries behind the diseases that can be categorizes as; immune deficiencies, inborn and acquired anomalies. Hence, it provides an obvious identification in correlating both the genotypic and phenotypic constitutions of an individual, associated with variable bleeding abnormalities. Platelet deformities also exists heterogenetically in some other diseased conditions like Beta-thalassemia and sickle cell anemia. These are the most common hemoglobinopathies prevailed in northeast India due to its diversified ethnic horizon. This in turn amplifies the bleeding manifestations and resulting into extreme critical events for survival. Therefore, any qualitative or quantitative etiologies behind platelet defects require deep analysis and investigation to discover the various responsible upshots.
Effects of Multiple Model Variations and Rationale Provision on the Moral Judgments and Explanations of Young Children.

BRODY, GENE H. , and HENDERSON, RONALD W. Effects of Multiple Model Variations and Rationale Provision on the Moral Judgments and Explanations of Young Children. CHILD DEVELOPMENT, 1977, 48, 1117-1120. The influence of both peer and adult models who displayed either consistent, conflicting, or inconsistent moral judgments on the moral judgments and explanations of first graders was examined. The influence of rationale provision was also asssessed. Subjects who were exposed to adult and peer models who consistently displayed mature judgmental criteria produced the most mature judgments and explanations. Rationale provision had a positive influence on both judgments and explanations rendered by subjects. Several treatment combinations led to acquisition and generalization of more mature moral judgments, relative to the performance of a control group, but only the condition in which adult and peer models consistently displayed mature judgments accompanied by a rationale resulted in experimental subjects producing a greater number of mature moral explanations than controls.
Basic on-line handwritten signature features for personal biometric authentication

On-line handwritten signature-based personal authentication is still a challenging research topic. Although great efforts have been achieved in developing and defining a framework that systems for on-line authentication based on the handwritten signature of a person should adhere, these frameworks are still not enough because they do not include all the features that handwritten signature as a biometric feature has. In addition, there is a range of features that current system for capturing a signature posses by which it is possible to further and better define the characteristics of signatures required to be in the process of authentication of entities, but can be used not only for authentication but also for identification. The paper provides an overview of the differences between off-line and on-line mode of authentication system based on the handwritten signature as well as surveys of some properties that these features can have, supported with the latest systems to "capture" handwritten signatures.
AN EMPIRICAL STUDY ON THE INTENTIONS OF PHYSICIANS IN ADOPTING ELECTRONIC MEDICAL RECORDS WITH MODIFIED TECHNOLOGY ACCEPTANCE MODELS IN RURAL AREAS OF TAIWAN

Electronic medical records (EMR) solve many of the problems associated with paper records. Despite their advantages however, EMR systems have not been universally adopted by doctors, and their pattern of use is uncertain. This study combines theory on reasoned action with a technology acceptance model to determine which factors influence physician adaptation of EMR within rural areas of Taiwan. In particular, this study examines the role of external factors, such as professional autonomy, training, and computer self-efficacy. It finds that EMR use is not significantly influenced by feelings towards professional autonomy, but is positively related to levels of training and computer self-efficacy.
DOA estimation and array registration with joint sparse reconstruction methods

Two uniform linear arrays with inexactly known relative positions shall be used for coherent direction of arrival estimation. We show that in the narrowband case the estimation of the displacement parameter is well posed if the number of sources is known. Furthermore, we propose a fast registration method that estimates the unknown displacement parameter using a combination of sparse reconstruction algorithms for distributed compressed sensing and Newton's method.