Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dynamic Nature of Deceptive Verbal Communication

Past research on verbal deception has found inconsistent patterns, possibly due to failure to consider the dynamic nature of interpersonal deception. The current investigation examined temporal changes and sequencing effects in truthful and deceptive responding on 23 linguistic measures. Interviewees responded to 12 questions during which they alternated between giving blocks of truthful and blocks of deceptive answers. Results showed significant variability in verbal behavior across the course of the interviewon virtually all measures. Deceptive responding differed from truthful responding depending on the truth-deception sequence and the phase of the interview. The truth-first order made it much easier for deceivers to approximate truthful discourse sooner. The existence of significant variability due to time and sequence has important implications for identifying reliable indicators of deception and for research paradigms used to investigate deceptive and truthful discourse.
Estimating Cache and TLB Power in Embedded Processor Using Complete Machine Simulation

In this paper we propose to combine power estimation and optimization technique for Cache and TLB components of embedded system. The power estimation is done at the architectural level using complete machine simulation model, where as, the optimization is done at the circuit level by applying low power design technique to content addressable memory. It has been shown that for accuracy and flexibility such an approach complements the embedded system design.
Communicating College Learning Through Noncourse Matching: An Approach to Writing the Prior Learning Assessment Essay

Prior Learning Assessment (PLA) brings students into active and refl ective engagement with signifi cant life experiences at the nexus of academic and nonacademic cultures. When done successfully, PLA orients students to academic ways of thinking and writing while encouraging self-exploration. Often students feel a sense of empowerment and confi dence as they come to realize that they accomplished signifi cant college level learning outside of the academy. Empire State College (ESC), a pioneer in prior learning assessment, offers the option of pursuing college credit for learning that a student gained through prior nonacademic experiences. Although interviews are an important part of the process at ESC, essays are the usual format and the one that I will focus on in this paper. The goal of this paper is to present a method of writing PLA essays that takes students from communicating what they experienced and accomplished to what they learned. Another goal of this paper is to demonstrate how PLA practices that are not based on course matching approaches refl ect both unique pedagogic principles and solid academic integrity principles. PLA is a burgeoning fi eld and noncourse matching, the method practiced at ESC, is in a sense radical pedagogy. In general, course matching methods of PLA are the most common, while noncourse matching methods are the least understood. Course matching compares a student’s prior experience with existing syllabi and program descriptions from colleges and universities to determine whether or not or to what degree the student’s prior nonacademic learning experiences constitute college level education. Although PLA practitioners at ESC may use this method to a small degree, it does not refl ect ESC’s model of education that strives for student-centeredness and the customization of courses and degree plans. Noncourse matching allows for the assessment of a student’s experience without predefi ned course expectations or an internally imposed curriculum. However, questions remain. How can we engage in PLA with noncourse matching while ensuring academic integrity? How can we communicate this to a community of educators? Communicating learning can be challenging. Most students’ fi rst draft of their PLA essay is a description of experience and accomplishments. When asked where they communicated what they learned, students confi dently scan the essay only to be disappointed when they realize that there will be further refl ection, frustration, and Communicating College Learning Through Noncourse Matching: An Approach to Writing the Prior Learning Assessment Essay
It's a knuckleball: a critical case study of a collaborative between a university and the ‘real world’ of school leadership

This is a look at the political games within games that are enmeshed in a high-profile, heavily funded, politically charged collaborative focused on preparing new school leaders between a large prestigious university and a circle of school leaders and policymakers. This case specifically considers how power and money corrupt the original vision and mission of a collaborative, in terms of its consideration of school and its purpose in society.
Task Specific Motion Control of Omnidirectional Robots

—This work presents a framework for motion control of an omnidirectional robot, that can be applied, for example, in the robotic soccer environment. The basic problems of posture stabilization and tracking of holonomic robots are considered, to address the most common tasks of these robots. More specific tasks require the interaction between the robot and a moveable object in its environment: in a robotic soccer setting, two such tasks are those of intercepting a freely rolling ball and transporting the soccer ball. Solutions are presented to each of these problems, designed specifically for holonomic robots. Ball interception is achieved through a solution that combines the concepts of trajectory-tracking and proportional navigation. Moving the ball is accomplished through a control scheme that determines at each instant the necessary force that must be applied to the ball, and then uses it as a reference for a hybrid force/position control law that drives the robot. Finally, an obstacle avoidance solution is also presented that can be readily adapted for each task. These solutions are applied to the ISocRob robotic soccer team.
Can disoriented chiral condensates form? A dynamical perspective.

We address the issue of whether a region of disoriented chiral condensate (DCC), in which the chiral condensate has components along the pion directions, can form. We consider a system going through the chiral phase transition via a quench, in which relaxation of the high temperature phase to the low temperature one occurs rapidly (within a time scale of order [similar to]1 fm/[ital c]). We use a density matrix based formalism that takes both thermal and quantum fluctuations into account nonperturbatively to argue that if the O(4) linear [sigma] model is the correct way to model the situation in QCD, then it is very unlikely, at least in the Hartree approximation, that a large ([gt]10 fm) DCC region will form. Typical sizes of such regions are [similar to]1--2 fm and the density of pions in such regions is at most of order [similar to]0.2/fm[sup 3]. We end with some speculations on how large DCC regions may be formed.
Generalized EEG-FMRI spectral and spatiospectral heuristic models

The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.
Oxygen and glucose deprivation induces mitochondrial dysfunction and oxidative stress in neurones but not in astrocytes in primary culture

In order to investigate the potential neuroprotective role played by glucose metabolism during brain oxygen deprivation, the susceptibility of cultured neurones and astrocytes to 1 h of oxygen deprivation (hypoxia) or oxygen and glucose deprivation (OGD) was examined. OGD, but not hypoxia, promotes dihydrorhodamine 123 and glutathione oxidation in neurones but not in astrocytes reflecting free radical generation in the former cells. A specific loss of mitochondrial complex‐I activity, mitochondrial membrane potential collapse, ATP depletion and necrosis occurred in the OGD neurones, but not in the OGD astrocytes. Furthermore, superoxide anion but not nitric oxide formation was responsible for these effects. OGD decreased neuronal but not astrocytic NADPH concentrations; this was not observed in hypoxia and was independent of superoxide or nitric oxide formation. These results suggest that glucose metabolism would supply NADPH, through the pentose–phosphate pathway, aimed at preventing oxidative stress, mitochondrial damage and neurotoxicity during oxygen deprivation to neural cells.
Vietnamese proper noun recognition

Recognition of proper noun is one of complex problems in Vietnamese natural language processing (NLP). This paper introduces, first, an approach for recognizing of Vietnamese proper noun. Second, it introduces NLP techniques that we propose to analyze Vietnamese texts, focusing on advanced word segmentation which accounts for a number of complex linguistic phenomena as well as pre-tagging, part-of- speech (POS) tagging, and post-tagging tasks for proper noun recognition. Finally, the paper discusses the results of several experiments that have been performed to study the impact of the strategy chosen for the recognition of Vietnamese proper nouns and the further works we intend to deal with. Index_Terms— Vietnamese, natural language processing, word segmentation, tagger, tagset, part-of-speech, POS tagging, text corpus, pre-tagging, post- tagging, corpus, syntax, context of texts, proper names, proper noun recognition.
Violent Crime

Abstract This paper highlights the decrease in violent crime across the nation. However, causation is still to be determined. It presents research that suggest an increase in concentrated poverty is directly related to violent crime (at least, homicide rates). It presents research involving regression analysis of data available at the community area level which is unique to the city of Chicago. Chicago has experienced an increase in its homicide rate despite the downward national trend. A cross-sectional design is utilized for the 77 community areas of Chicago, Illinois. Results indicate that the homicide rate was impacted by concentrated poverty. It was also impacted by both the number of Blacks and Whites that lived in impoverished communities.
Virtual Environment Rendering

A virtual environment (VE) may represent a simulation of a real environment or of an artificial environment, such as in scientific visualization of data. For haptic interaction with a VE, the simulation has to compute some kind of geometrical relationship between positions of the haptic interface and objects in the VE, and then based on this geomety to compute an interaction force arising from some desired dynamics of the VE. There have been a number of papers on haptic rendering of non-real VE’s, such as the visualization of computational fluid dynamics data (Avila and Sobierajski, 1996; Iwata and Noma, 1993) or of molecular interaction (Brooks et al., 1990), but in this chapter we will restrict the discussion to simulation of real physical environments. Real environments are difficult to simulate well, both because of their great complexity but also because of our own personal experiences which make us discerning critics. In a VE representation of a real physical environment, manipulation of virtual objects with a haptic interface should feel as similar as possible to manipulation of real objects with our hands. The challenge is not just the device limitations of the haptic interface, but also the computational demands in making the VE interactive and realistic. Here is a typical scenario. There is a virtual hand controlled by the haptic interface that represents the user in the virtual environment (Figure 1). The user wishes to pick up a virtual object from a table.
An Investigation Into the Relationship Between Socially Desirable Responding and Offender Self-Report.

Recent research has shown that offenders high on impression management report fewer antisocial attitudes and less antisocial history and are objectively rated at less risk to commit a criminal offense. Further, impression management has been shown to be significantly and negatively related to criminal behavior. The present research investigated the hypothesis that this relationship may be due to the honest responding of offenders to items measuring relatively minor antisocial and criminal behaviors. The Balanced Inventory of Desirable Responding (now the Paulhus Deception Scales; D. L. Paulhus, 1994, 1998) is shown to be confounded with criminal-risk variance, and it may lead to incorrect conclusions when used with correctional samples. The discussion centers on the relationship of socially desirable responding with other constructs important in the prediction of reoffending within a correctional population.
Design a Secure Framework for Cloud-Based Medical Image Storage

Actually, vast amounts of medical imaging data are created each year because healthcare professionals rely heavily on these digital records. Currently, healthcare industry still uses local data centers to store and manage patients' data. This concept causes a dramatic increase in operating expenses. To address this issue, medical providers are interested in implementing the cloud storage system. Indeed, the latter is meant to offer cost-efficient resources as a service through the Internet. Besides, clients are charged only based on cloud services utilization. Unfortunately, security and privacy are the main challenges for this new paradigm. This paper seeks to provide a deeper insight into existing implementations of cloud storage in the healthcare domain. Furthermore, we analyze and compare the current status of the cloud storage with security requirements. Accordingly, we design a secure framework to save medical image in a secure manner. To achieve this objective, segmentation and watermarking mechanisms are used to meet privacy requirements. In addition, the proposal uses multi-cloud environment as a storage system for attaining high security and performance.
The Atlantic Meridional Mode and Its Coupled Variability with the Guinea Dome

Abstract Using an ocean–atmosphere coupled general circulation model, air–sea interaction processes associated with the Atlantic meridional mode are investigated from a new viewpoint of its link with the Guinea Dome in the northern tropical Atlantic. The subsurface thermal oceanic dome develops off Dakar from late spring to late fall owing to wind-induced Ekman upwelling. Its seasonal evolution is due to surface wind variations associated with the northward migration of the intertropical convergence zone (ITCZ). Since the upwelling cools the mixed layer in the Guinea Dome region during summer, it is very important to reproduce its variability in order to simulate the sea surface temperature (SST) there. During the preconditioning phase of the positive (negative) Atlantic meridional mode, the dome is anomalously weak (strong) and the mixed layer is anomalously deep (shallow) there in late fall. This condition reduces (enhances) the sensitivity of the mixed layer temperature to the climatological atmospheri.
Image-based rendering from a sparse set of images

When the shape of an object is known, its appearance is determined by the spatially-varying bi-directional reflectance distribution function (SBRDF) defined on its surface. We present a method for recovering the SBRDF of a surface with known geometry from a sparse set of images. Unlike existing parametric methods (e.g., [Sato et al. 1997]) this approach does not require a choice of an analytic BRDF model, and is therefore capable of capturing arbitrary, complex reflectance effects. It is also different from existing non-parametric methods (e.g. [Matusik et al. 2002]) that are purely data-driven and can require thousands of images; unlike these methods, we exploit spatial coherence, which can drastically reduce the number of required input images.
A case for adaptation of the distributed environment layout in multiagent applications

A multiagent application consists of an environment and a number of agents. The environment contains information that the agents use and manipulate to do their work. When a multiagent system is distributed over a number of different hosts (i.e. more than one execution platform is used), the environment has to be distributed as well. The distributed layout of the environment can influence the performance of agents and of the system.In this paper we discuss when a distributed environment can dynamically change its distribution layout. Our focus is on a distributed environment in which mobile agents move around and are aware of the distributed nature of the system.Changes to the layout of the distribution are not only triggered by the agents (like other, application-specific actions), but they can also be triggered by external events, and the environment itself has the ability to pro-actively change its distribution layout over the different hosts when this improves the behavior and efficiency of the application.Using a specific application (solving distributed constraint satisfaction problems) as an example, we indicate the usefulness of changes to the distribution layout and how they can be incorporated easily into a multiagent application design. It turns out that for some problems, the improvement in efficiency can be more than 30%.
Female Hunting Participation in North America and Europe

Data from 13 European countries, 50 states in the United States, and 6 Canadian provinces/territories were used to examine the relationship of aggregate level variables on female participation in hunting. Overall, 8% of the hunters were female. The analysis showed a strong positive influence of the proportion of male hunters in society on female hunting participation. This key role of males is consistent with previous individual-level studies of female participation. A greater proportion of females hunted in states and countries with larger areas. The influences of the proportion of the population living in rural areas and population density appeared to be largely mediated by the percentage of male hunters. In the United States we found more female hunters in states with lower levels of income and lower levels of female education although this was not the case in Europe. A decline in male participation will be likely to affect female participation as there are fewer males to socialize them into hunting.
Levels and Correlates of Patient Activation in Health Center Settings: Building Strategies for Improving Health Outcomes

Patient activation refers to people’s ability to engage in self-management of their health and health care. We assessed the performance of the Patient Activation Measure (PAM) for patients attending three inner-city health centers and compared resultant scores with those of the general U.S. adult population. We approached 801 patients and 527 (65.8%) participated; the majority were Latino(a) or African American/Black. No differences in activation were seen according to age. Males and more educated patients were more activated (p<.05) and patients with better self-rated health and adequate health literacy were more activated than their counterparts (p<.001). Patterns of scores resembled those of the U.S. general population for educational attainment and self-rated health but not for gender and age. Compared with the general population, more patients were characterized as level 1 (least activated). Developing strategies that enhance patient activation is critical to improving health outcomes, particularly in less advantaged populations.
The “What” and the “How” of Dispositional Mindfulness

Although self-report measures of dispositional mindfulness have good psychometric properties, a few studies have shown unexpected positive correlations between substance use and mindfulness scales measuring observation of present-moment experience. The current study tested the hypothesis that the relationship between present-moment observation and substance use is moderated by the tendency to be nonjudgmental and nonreactive toward the observed stimuli. Two hundred and ninety-six undergraduates completed the Five-Facet Mindfulness Questionnaire (FFMQ), a calendar measuring periods of substance use, and a measure of the Five-Factor Model of personality. Controlling for FFMQ and personality subscales, significant interactions between the observing and nonreactivity subscales indicated that the observing subscale was negatively associated with substance use at higher levels of nonreactivity but positively associated with periods of substance use at lower levels of nonreactivity. Results support the use of statistical interactions among FFMQ subscales to test for the presence of interactive effects of different aspects of mindfulness.
A Computational Treatment of Sentence-Final ‘then’

We describe a computational system which parses discourses consisting of sequences of simple sentences. These contain a range of temporal constructions, including time adverbials, progressive aspect and various aspectual classes. In particular, the grammar generates the required readings, according to the theoretical analysis of (Glasbey, forthcoming), for sentence-final 'then'.
Superconductor: A Language for Big Data Visualization

Increases in data availability is the force behind many recent innovations in society. However, visualization technology for exploring data is not keeping up. Designers must choose between scale and interactivity. They want big displays because of the ability to show an entire data set. However, viewers get lost in a sea of noise, so they also want interactivity. Performance constraints limit interactions to operating on a small data slice. We present SUPERCONDUCTOR: a high-level visualization language for interacting with large data sets. It has three design goals that we distilled from popular visualization languages:
Sadness as an integral part of depression

Sadness is considered by numerous authors to be a core symptom of depression. Currently, many arguments exist for its particular importance in depressed patients. Sadness makes up part of the various definitions of the depressive syndrome, even if its presence is not required for diagnosis. Furthermore, it is closely linked to the other depressive symptoms, and has prognostic value, in particular for remission. The recognition and measurement of sadness seem important for therapeutic evaluation, in clinical studies, and in depressed patients at an individual level. This paper Sadness is copresents a selective review of some of the various aspects of sadness as an integral part of depression, and an examination of its links with a disease which is a major health concern.