Miracle-dz/UniFAR-FTUs huggingface dataset:
Counselling the Borderline Client: An Interpersonal Approach

Characteristics thought to be associated with "difficult clients" are critically reviewed in light of research findings emerging from the psychiatric and psychological literature pertaining to Borderline Personality Disorder. Recent developments for brief treatment strategies are reviewed and the development of a short term interpersonal therapy programme is described. Potential strengths and weaknesses of this treatment approach for counselors are discussed.
Investigative Interviewing: Psychology and Practice

Well-informed and skilled interviewing is a key factor in dealing with suspects, victims and witnesses. Experienced police and investigators know this from their own practice, and there is now a substantial body of research and theory in psychology which supports this practice and can guide both training and the development of investigative work. The purpose of this book is to provide a concise and clearly written guide to the psychological concepts and research-based knowledge that can support and guide investigative interviewing. It deals in particular with: good basic practice and methods for investigative interviewing how to deal with false confessions and unreliable or incomplete witness information the special problems of interviewing children and other vulnerable people the process of interviewing suspects, victims, witnesses, complainants and colleagues This book will be of interest and value to a wide range of professionals involved in training and practice in the police or other agencies, as well as social workers,lawyers, psychologists and psychiatrists involved in forensic work.
XCS with Bit Masks

In this paper, a modified XCS is proposed to reduce the numbers of learned rules. XCS is a type of learning classifier systems and has been proven able to find accurate, maximal generalizations. However, XCS usually produces too many rules such that the readability of the classification model is greatly reduced. As a result, XCS users may not be able to obtain the desired knowledge or useful information from the learned rule set. In our attempt to handle this problem, a new mechanism, called bit masks, is devised in order to reduce the number of classification rules and therefore to improve the readability of the generated model. A series of n-bit multiplexer experiments, including 6-bit, 11-bit, and 20-bit multiplexers, to examine the performance of the proposed framework. For the problem composed of integer-typed variables, two synthetic oblique datasets, Random-Data2 and Random-Data9, are adopted to compare the performance of XCS and that of the proposed method. According to the experimental results, XCS with bit masks can perform similarly as XCS on n-bit multiplexers and generates significantly fewer rules on integer-typed problems.
Derivation of string field theory from the large N BMN limit

,Brown University,Providence, RI 02912, USAdonos,antal@het.brown. eduWe continue the development of a systematic procedure for deriving closed string pp wavestring ﬁeld theory from the large N Berenstein-Maldacena-Nastase limit. In the presentpaper the eﬀects of the Yang-Mills interaction are considered in detail for general BMNstates. The SFT interaction with the appropriate operator insertion at the interactionpoint is demonstrated.
A Design Flow for Asynchronous Dynamic Logic and Standard Synthesis Tools

For high performance designs, dynamic logic styles are in the focus due to the promising high reachable frequencies. True Single Phase Clock (TSPC) logic yields easy to design circuits with standard cells and high speed potential. The disadvantages are a difficult clock tree design and high power consumption. Asynchronous logic has the potential to solve these problems. Asynchronous Chain (AC)-TSPC logic assembles small asynchronous chains of dynamic logic gates into one period of the global clock. The results are a shorter latency for calculations, power reduction due to smaller clock load and due to no need for latches, and a simpler clock distribution network due to increased clock skew tolerance and due to the reduced clock load. Current high level synthesis tools do not support automatic synthesis and verification of asynchronous dynamic logic. This paper presents a complete design flow of Asynchronous Chain (AC)-TSPC logic. We use the toolset DYNAMIC, which realizes a transformation of a combinational circuit into a pipelined structure, and the tool AC-DYNAMIC, which implements a splitting of a pipelined structure into an asynchronous clocked structure. Further, AC-DYNAMIC verifies the timing behavior, and realizes optimizations. The design flow is exemplarily utilized for a 32-bit-single-error-correcting circuit.
A multi-modal gait based human identity recognition system based on surveillance videos

In this paper we propose a novel human-identification scheme from long range gait profiles in surveillance videos. We investigate the role of multi view gait images acquired from multiple cameras, importance of infrared and visible range images in ascertaining identity, and role of soft/secondary biometric (walking style) in enhancing the accuracy and robustness of the identification systems, Experimental evaluation of several subspace based gait feature extraction approaches (PCA/LDA) and learning classifier methods (MLP/SMO) on different datasets from a publicly available gait database CASIA, show that it is possible to do large scale human identity recognition from gait information captured in multiple view-points, with multiple cameras and with usage of subtle soft/secondary biometric information.
The lipoprotein subfraction profile: heritability and identification of quantitative trait loci Published, JLR Papers in Press, December 28, 2007.

The HDL and LDL subclass profile is an emerging cardiovascular risk factor. Yet, the biological and genetic mechanisms controlling the lipoprotein subclass distribution are unclear. Therefore, we aimed 1) to determine the heritability of the entire spectrum of LDL and HDL subclass features and 2) to identify gene loci influencing the lipoprotein subfraction pattern. Using NMR spectroscopy, we analyzed the lipoprotein subclass distribution in 1,275 coronary artery disease patients derived from the Regensburg Myocardial Infarction Family Study. We calculated heritabilities, performed a microsatellite genome scan, and calculated linkage. HDL and LDL subclass profiles showed heritabilities ranging from 23% to 67% (all P < 10−3) of traits using univariate calculation. After multivariate adjustment, we found heritabilities of 27–48% (all P < 0.05) for HDL and 21–44% for LDL traits. The linkage analysis revealed a significant logarithm of the odds (LOD) score (3.3) for HDL particle concentration on chromosome 18 and a highly suggestive signal for HDL particle size on chromosome 12 (2.9). After multivariate adjustment, we found a significant maximum LOD score of 3.7 for HDL size. Our study is the first to analyze heritability and linkage for the entire spectrum of LDL and HDL subclass features. Our findings may lead to the identification of genes controlling the lipoprotein subclass distribution.
Evolution of the Ainu Language in Space and Time

Languages evolve over space and time. Illuminating the evolutionary history of language is important because it provides a unique opportunity to shed light on the population history of the speakers. Spatial and temporal aspects of language evolution are particularly crucial for understanding demographic history, as they allow us to identify when and where the languages originated, as well as how they spread across the globe. Here we apply Bayesian phylogeographic methods to reconstruct spatiotemporal evolution of the Ainu language: an endangered language spoken by an indigenous group that once thrived in northern Japan. The conventional dual-structure model has long argued that modern Ainu are direct descendants of a single, Pleistocene human lineage from Southeast Asia, namely the Jomon people. In contrast, recent evidence from archaeological, anthropological and genetic evidence suggest that the Ainu are an outcome of significant genetic and cultural contributions from Siberian hunter-gatherers, the Okhotsk, who migrated into northern Hokkaido around 900–1600 years ago. Estimating from 19 Ainu language varieties preserved five decades ago, our analysis shows that they are descendants of a common ancestor who spread from northern Hokkaido around 1300 years ago. In addition to several lines of emerging evidence, our phylogeographic analysis strongly supports the hypothesis that recent expansion of the Okhotsk to northern Hokkaido had a profound impact on the origins of the Ainu people and their culture, and hence calls for a refinement to the dual-structure model.
Diagnosis and Treatment Strategy of Achalasia Subtypes and Esophagogastric Junction Outflow Obstruction Based on High-Resolution Manometry

Background: Based on Chicago Classification version 3.0, the disorders of esophagogastric junction outflow obstruction (EGJOO) include achalasia (types I, II and III) and EGJOO. Although no curative treatments are currently available for the treatment of the disorders of EGJOO, medical treatments, endoscopic pneumatic dilation (PD), laparoscopic Heller myotomy (LHM), and per-oral endoscopic myotomy (POEM) are usually the sought-after modes of treatment. Since the etiology and pathogenesis might vary depending on the types of EGJOO disorders, treatment strategies should be considered based on those subtypes. Summary: Based on the accumulated evidences, the treatment strategies of our institution are as follows: effects of medical treatments on achalasia are limited. Either PD or LHM/POEM can be considered a first-line in achalasia type I, according to the patient's wish. PD and POEM can be considered first-line in achalasia types II and III, respectively. Conversely, In EGJOO, medical treatments including drugs like acotiamide and/or diltiazem can be tested as a first-line, and PD and POEM will be considered second and third-line treatments, respectively. Key Messages: The classification of subtypes based on high-resolution manometry will help us consider which treatment option can be selected as a first-line treatment depending upon the subtypes of disorders of EGJOO. Acotiamide has the potential to cure patients with EGJOO.
Surrogate or conventional light chains are required for membrane immunoglobulin mu to activate the precursor B cell transition [published erratum appears in J Exp Med 1997 Jan 6;185(1):183]

To examine the role of light chains in early B cell development we combined RAG-1 and lambda 5 mutations to produce mice that expressed neither conventional nor surrogate light chains (RAG-1-/-, lambda 5-/- ). Unique heavy and light chain genes were then introduced into the double and single mutant backgrounds. Membrane immunoglobulin (Ig)mu (mIg mu) associated with Ig alpha-Ig beta but was unable to activate the pre-B cell transition in RAG-1-/-lambda 5-/- mice. Either lambda 5 or kappa light chains were sufficient to complement this deficiency. Therefore light chains are absolutely required for a functional Ig signaling module in early B cell development. Our data provide direct evidence for the existence of two pathways for induction of early B cell development: one which is activated through surrogate light chains and mIg mu, and an alternative pathway which uses conventional light chains and mIg mu.
The negative communication dynamic

Purpose – The purpose of this research is to present a study designed to test if anger is a mediator in the relationship between crisis responsibility and negative word‐of‐mouth and crisis responsibility and purchase intention. Emphasizes the relationship between anger, crisis responsibility, and intended negative word‐of‐mouth, what we call the negative communication dynamic. Researchers have just begun to explore the role of affect in crisis communication by linking it to behavioral intentions and proving that crisis affect is largely a function of crisis responsibility (perceived organizational responsibility for the crisis). Design/methodology/approach – An experimental design is used to test for the mediator relationship. The design reflects the study's theoretical link to Attribution Theory.Findings – The results support that anger is a moderator in the relationship between crisis responsibility and intended negative word‐of‐mouth and between crisis responsibility and purchase intention.Research limi.
Atribuições de causas ao desemprego e valores pessoais

Attributions of causes for unemployment and personal values. This article explored the association between explanations of unemployment and values. 205 people - employed and unemployed - were part of the study. Furnhams attribution scale on unemployment (1982) and a short version of Schwartzs. Portrait Value Questionnaire (PVQ 21) included in the European Social Survey (ESS), together with a social and demographic questionnaire were used. The conclusion was that employed and unemployed showed no differences in the attribution of causes for unemployment. In relation to values, unemployed showed differences in universalism and benevolence, linked to the domain of self-trascendence, whereas employed individuals had a greater attach to security values, linked to the domain of conservation. Finally, it was found a significant association between fatalistic attributions and security and tradition values, between tradition and social attributions and between stimulation and individualistic reasons for unemployment.
Lettuce for Human Consumption Collected in Costa Rica Contains Complex Communities of Culturable Oxytetracycline- and Gentamicin-Resistant Bacteria

ABSTRACT The present widespread use of antimicrobials in crop farming is based upon their successful application in human medicine. However, recent evidence suggests that the massive anthropogenic release of antimicrobials into the biosphere has selected for resistant bacteria and facilitated the transfer of resistance genes among them. This work deals with the examination of iceberg lettuce collected at 10 farms from two regions in Costa Rica. Farmers from nine sampling sites regularly apply commercial formulations containing gentamicin, oxytetracycline, streptomycin, or a combination of them without being able to indicate how often and how much of these products have been sprayed onto the crops. One organic farm was also investigated for comparative purposes. Oxytetracycline- and gentamicin-resistant bacteria were abundantly detected using selective enrichment cultures. Furthermore, colony mixtures from selective plates were characterized by chemotaxonomical and molecular fingerprinting methods. Both types of resistant communities accounted for a significant fraction of all culturable bacteria and included several resistance genes as well as factors for their potential horizontal transfer. Given the fact that lettuce is eaten raw, it may contribute to the dissemination of antimicrobial-resistant bacteria and/or their resistance genes from the environment to the microbial biota of the human intestine.
A scalability study of multi-objective particle swarm optimizers

Particle swarm optimization (PSO) is a well-known optimization technique originally proposed for solving single-objective, continuous optimization problems. However, PSO has been extended in various ways to handle multi-objective optimization problems (MOPs). The scalability of multi-objective PSO algorithms as the number of sub-objectives increases has not been well examined; most observations are for two to four objectives. It has been observed that the performance of multiobjective optimizers for a low number of sub-objectives can not be generalized to problems with higher numbers of sub-objectives. With this in mind, this paper presents a scalability study of three well-known multi-objective PSOs, namely vector evaluated PSO (VEPSO), optimized multi-objective PSO (oMOPSO), and speed-constrained multi-objective PSO (SMPSO) with up to eight sub-objectives. The study indicates that as the number of sub-objectives increases, SMPSO scaled the best, oMOPSO scaled the worst, while VEPSO's performance was dependent on the knowledge transfer strategy (KTS) employed, with parent centric recombination (PCX) based approaches scaling consistently better.
PTSD Severity and Cognitive Reactions to Trauma Among a College Sample

ABSTRACT Two hundred twenty-one undergraduate education students were assessed to determine trauma history and cognitive responses to traumatic events. Participants completed a demographic questionnaire, the Cognitive Distortions Scale, and the PTSD Symptom Scale (for those reporting a trauma history). The most common types of traumatic events were domestic violence, natural disasters, and severe transportation accidents. Differences in cognitive distortions of individuals with and without a trauma history also were assessed. Individuals with a trauma history were significantly higher on Preoccupation with Danger and Self-Blame subscales. Number of previous traumatic events and the subscale of Preoccupation of Danger significantly predicted PTSD severity.
A PDE Approach to Space-Time Fractional Parabolic Problems

We study solution techniques for parabolic equations with fractional diffusion and Caputo fractional time derivative, the latter being discretized and analyzed in a general Hilbert space setting. The spatial fractional diffusion is realized as the Dirichlet-to-Neumann map for a nonuniformly elliptic problem posed on a semi-infinite cylinder in one more spatial dimension. We write our evolution problem as a quasi-stationary elliptic problem with a dynamic boundary condition. We propose and analyze an implicit fully-discrete scheme: first-degree tensor product finite elements in space and an implicit finite difference discretization in time. We prove stability and error estimates for this scheme.
A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization

Face detection and landmark localization have been extensively investigated and are the prerequisite for many face applications, such as face recognition and 3D face reconstruction. Most existing methods achieve success on only one of the two problems. In this paper, we propose a coupled encoderdecoder network to jointly detect faces and localize facial key points. The encoder and decoder generate response maps for facial landmark localization. Moreover, we observe that the intermediate feature maps from the encoder and decoder have strong power in describing facial regions, which motivates us to build a unified framework by coupling the feature maps for multi-scale cascaded face detection. Experiments on face detection show strongly competitive results against the existing methods on two public benchmarks. The landmark localization further shows consistently better accuracy than state-of-the-arts on three face-in-the-wild databases.
Distributed detection of node replication attacks in sensor networks

The low-cost, off-the-shelf hardware components in unshielded sensor-network nodes leave them vulnerable to compromise. With little effort, an adversary may capture nodes, analyze and replicate them, and surreptitiously insert these replicas at strategic locations within the network. Such attacks may have severe consequences; they may allow the adversary to corrupt network data or even disconnect significant parts of the network. Previous node replication detection schemes depend primarily on centralized mechanisms with single points of failure, or on neighborhood voting protocols that fail to detect distributed replications. To address these fundamental limitations, we propose two new algorithms based on emergent properties (Gligor (2004)), i.e., properties that arise only through the collective action of multiple nodes. Randomized multicast distributes node location information to randomly-selected witnesses, exploiting the birthday paradox to detect replicated nodes, while line-selected multicast uses the topology of the network to detect replication. Both algorithms provide globally-aware, distributed node-replica detection, and line-selected multicast displays particularly strong performance characteristics. We show that emergent algorithms represent a promising new approach to sensor network security; moreover, our results naturally extend to other classes of networks in which nodes can be captured, replicated and re-inserted by an adversary.
Scaffolding Learning from Contrasting Video Cases

Video cases can serve as valuable instructional tools for preservice teachers by presenting examples of effective and ineffective student learning and pedagogical approaches. However, merely seeing video-cases without in-depth, interpretive analysis may not ensure learning. This study examined the effects of cognitive, metacognitive, combination, and affective questions, on preservice teachers' declarative knowledge of formative assessment, case-interpretation skills and ability to redesign formative assessments in similar and novel classroom contexts. All participants showed significant improvements from pretest to posttest on declarative knowledge and case-interpretation skills. A-priori planned contrasts revealed that the cognitive-questions group outperformed the metacognitive group on declarative knowledge whereas the metacognitive-questions group outperformed the cognitive group on video case-interpretation at posttest and transfer tasks. The results suggest practical implications for using specific scaffolding questions that are effective in improving conceptual knowledge and applied case-interpretation skills during contrasting video case analysis activities.
Location dependent variable information gain approach to multi robot coverage problem

In this paper, we propose a new approach for selecting and updating information gains for multi robot exploration problem. The exploration problem, also known as coverage problem, is converted into an optimization problem in which solution of a distributed objective function has to be found. In this work, information gain part of the objective function consists of two different parts, a static and a dynamic part. The dynamic part provides weighting the dense areas in sense of information and it is also updated at each optimization step. In order to find a control law, objective function is solved using frontiers and dynamic Voronoi partitions. Additionally, a case study of mine clearance is given with simulation results.
New rates for exponential approximation and the theorems of R\'{e}nyi and Yaglom

We introduce two abstract theorems that reduce a variety of complex exponential distributional approximation problems to the construction of couplings. These are applied to obtain rates of convergence with respect to the Wasserstein and Kolmogorov metrics for the theorem of Rényi on random sums and generalizations of it, hitting times for Markov chains, and to obtain a new rate for the classical theorem of Yaglom on the exponential asymptotic behavior of a critical Galton-Watson process conditioned on non-extinction. The primary tools are an adaptation of Stein’s method, Stein couplings, as well as the equilibrium distributional transformation from renewal theory.