Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association Between Anxiety and Chronic Pain After Whiplash Injury: Gender-specific Effects

ObjectiveThere is increasing evidence to suggest that anxiety is related more strongly to chronic pain experience in men relative to women. The aim of the present study was to examine for the first time gender-specific associations between anxiety and chronic pain experience in men and women exposed to whiplash trauma. MethodOne thousand seven hundred and nine people with whiplash (1349 women, 360 men) belonging to the Danish Society for Polio, Traffic, and Accident Victims completed a battery of questionnaires measuring demographic, psychologic, and pain-related factors (including frequency of painful episodes, level of pain interference, number of anatomic regions in which pain was felt, and the level of general disability). ResultsAnxiety was found to be positively related to the level of general disability to a significantly stronger magnitude in men compared with women. A trend difference in correlation magnitude was also found between men and women when comparing anxiety with pain frequency, with the magnitude of correlation being higher in men. DiscussionThe stronger association between anxiety and symptoms of whiplash trauma in men compared with women may be due to gender differences in the attribution of anxiety-related autonomic arousal as symptoms of whiplash injury. Alternatively, anxiety may differentially affect the willingness of men and women to report pain and other health indices. Anxiety is an important factor in understanding gender differences in whiplash-related symptoms such as chronic pain and disability, and requires further investigation.
Original Article Cognitive reserve and clinical expression of Alzheimer's disease: evidence and implications for brain PET imaging

Cognitive reserve (CR) refers to the hypothesized capacity of an adult brain to cope with brain damage in order to minimize symptomatology. The present review is focused on the contribution of brain PET in the under- standing of the influence of CR on the disassociation between cognition and degree of Alzheimer's disease (AD) pa - thology. Theories for the explanation CR-related mechanism as well as PET imaging evidence for the existence of CR are described. Moreover functional imaging studies investigating specific networks for CR both in healthy subjects and AD patients are discussed. Finally implications for amyloid PET imaging are presented.
Face Detection Using Classifiers Cascade Based on Vector Angle Measure and Multi-Modal Representation

This paper deals with face detection in still gray level images which is the first step in many automatic systems like video surveillance, face recognition, and images data base management. We propose a new face detection method using a classifiers cascade, each of which is based on a vector angle similarity measure between the investigated window and the face and nonface representatives (centroids). The latter are obtained using a clustering algorithm based on the same measure within the current training data sets, namely the low confidence classified samples at the previous stage of the cascade. First experiment results on refereed face data test sets are very satisfactory.
Near‐Ultraviolet Spectra of Flares on YZ CMi

Near‐ultraviolet spectroscopic data obtained with the Hubble Space Telescope STIS (Space Telescope Imaging Spectrograph) instrument on the dMe flare star YZ Canis Minoris (YZ CMi) were analyzed. Flare and quiet intervals were identified from the broadband near‐UV light curve, and the spectrum of each flare was separately extracted. Mg ii and Fe ii line profiles show similar behavior during the flares. Two large flares allowed time‐resolved spectra to be analyzed, revealing a very broad component to the Mg ii k line profile in at least one flare spectrum (F9b). If interpreted as a velocity, this component requires chromospheric material to be moving with FWHM ∼ 250 km s−1, implying kinetic energy far in excess of the radiative energy. The Mg ii k flare line profiles were compared to recent radiative hydrodynamic models of flare atmospheres undergoing electron beam heating. The models successfully predict red enhancements in the line profile, with a typical velocity of a few km s−1, but do not reproduce the flares showing blue enhancements, or the strongly broadened line observed in flare F9b. A more complete calculation of redistribution into the line wings, including the effect of collisions with the electron beam, may resolve the origin of the excess line broadening.
Attachment Insecurity, Emotion Regulation Difficulties, and Mindfulness Deficits in Personality Pathology

A growing body of research has documented associations between personality disorders (PDs) and attachment disturbance, and yet, attachment disturbance does not necessarily guarantee the development of PD pathology. Thus, understanding the mechanisms mediating the relationship between attachment disturbance and PD pathology remains an open area of research. One area with sound theoretical and empirical evidence has shown that attachment disturbances are associated with emotion regulation difficulties, as well as maladaptive interpersonal patterns of behavior. However, the research conducted thus far has predominately focused on borderline personality disorder, at the exclusion of other PD domains, and also has not broadened the scope of research to include other relevant psychological processes that may clarify how personality pathology and attachment disturbance are interrelated. Using a large independent sample of college (n = 946) and community-based individuals (n = 271), the current study aimed to (1) examine how the Personality Inventory for DSM-5 (PID-5) PD trait domains would be differentially associated with maladaptive attachment processes and emotion regulation problems, and (2) explore whether deficits in mindfulness and emotion regulation mediated the relationship between disturbed attachment and PD trait domains. Findings suggested that the PID-5 PD trait domains have general and specific relations to attachment insecurity, impairments in emotion regulation, and decreased mindfulness. Overall, the current study suggests that improving emotion regulation skills and increasing dispositional mindfulness may limit the expression of pathological personality traits. Implications of these findings and directions for future research are discussed.
A Quantitative Analysis of OS Noise

Operating system noise is a well-known problem that may limit application scalability on large-scale machines, significantly reducing their performance. Though the problem is well studied, much of the previous work has been qualitative. We have developed a technique to provide a \textit{quantitative} descriptive analysis for each OS event that contributes to OS noise. The mechanism allows us to detail all sources of OS noise through precise kernel instrumentation and provides frequency and duration analysis for each event. Such a description gives OS developers better guidance for reducing OS noise. We integrated this data with a trace visualizer allowing quicker and more intuitive understanding of the data. Specifically, the contributions of this paper are three-fold. First, we describe a methodology whereby detailed quantitative information may be obtained for each OS noise event. Though not the thrust of the paper, we show how we implemented that methodology by augmenting LTTng. We validate our approach by comparing it to other well-known standard techniques to analyze OS noise. Second, we provide a case study in which we use our methodology to analyze the OS noise when running benchmarks from the LLNL Sequoia applications. Our experiments enrich and expand previous results with our quantitative characterization. Third, we describe how a detailed characterization permits to disambiguate noise signatures of qualitatively similar events, allowing developers to address the true cause of each noise event.
A piezoelectric vibration based generator for wireless electronics

Enabling technologies for wireless sensor networks have gained considerable attention in research communities over the past few years. It is highly desirable, even necessary in certain situations, for wireless sensor nodes to be self-powered. With this goal in mind, a vibration based piezoelectric generator has been developed as an enabling technology for wireless sensor networks. The focus of this paper is to discuss the modeling, design, and optimization of a piezoelectric generator based on a two-layer bending element. An analytical model of the generator has been developed and validated. In addition to providing intuitive design insight, the model has been used as the basis for design optimization. Designs of 1 cm3 in size generated using the model have demonstrated a power output of 375 µW from a vibration source of 2.5 m s−2 at 120 Hz. Furthermore, a 1 cm3 generator has been used to power a custom designed 1.9 GHz radio transmitter from the same vibration source.
Review of fish swimming modes for aquatic locomotion

Several physico-mechanical designs evolved in fish are currently inspiring robotic devices for propulsion and maneuvering purposes in underwater vehicles. Considering the potential benefits involved, this paper presents an overview of the swimming mechanisms employed by fish. The motivation is to provide a relevant and useful introduction to the existing literature for engineers with an interest in the emerging area of aquatic biomechanisms. The fish swimming types are presented, following the well-established classification scheme and nomenclature originally proposed by Breder. Fish swim either by body and/or caudal fin (BCF) movements or using median and/or paired fin (MPF) propulsion. The latter is generally employed at slow speeds, offering greater maneuverability and better propulsive efficiency, while BCF movements can achieve greater thrust and accelerations. For both BCF and MPF locomotion, specific swimming modes are identified, based on the propulsor and the type of movements (oscillatory or undulatory) employed for thrust generation. Along with general descriptions and kinematic data, the analytical approaches developed to study each swimming mode are also introduced. Particular reference is made to lunate tail propulsion, undulating fins, and labriform (oscillatory pectoral fin) swimming mechanisms, identified as having the greatest potential for exploitation in artificial systems.
Paenibacillus hemolyticus, the first hemolytic Paenibacillus with growth-promoting activities discovered

Paenibacillus spp. are Gram-positive, facultatively aerobic, bacilli-shaped endospore-forming bacteria. They have been detected in a variety of environments, such as soil, water, forage, insect larvae, and even clinical samples. The strain 139SI (GenBank accession No.: JF825470.1) from three strains of Paenibacillus isolates investigated here was chosen as the type strain of the proposed novel species. The other two similar strain isolates investigated were 140SI (JF825471.1) and 141SI (JQ734548.1). These strains were identified as members of the genus Paenibacillus on the basis of phenotypic characteristics, phylogenetic analysis and 16S rRNA G+C content. Surprisingly, these strains exhibited a strong hemolytic activity on 5% sheep blood agar. Their crude extracts also showed positive growth-promoting activities in colon cancer and Vero cell lines. To our knowledge, this is the first Paenibacillus with hemolytic and growth-promoting activities reported, and the name Paenibacillus hemolyticus for this novel species is proposed. The capability of this novel species in hemolytic and cell growth activities suggests its potential in both clinical and pharmacological implications.
The role of cognitive capacity and information processing preferences in forecasting and prediction accuracy

THE ROLE OF COGNITIVE CAPACITY AND INFORMATION PROCESSING PREFERENCES IN FORECASTING AND PREDICTION ACCURACY Cory S. Adis, Ph.D. George Mason University, 2013 Dissertation Director: Stephen J. Zaccaro The cognitive process of forecasting is important for decision making, problem solving, and planning, but has been under researched in psychology. The present research looked at the relationship between the amount and detail of forecasts and the accuracy of predictions in a driving time prediction context. In addition, individual differences in working memory capacity and visual/ spatial information processing were examined for their impact on forecasting activity. The results indicated that forecasting detail, but not forecasting amount, was related to prediction accuracy; however, both were moderated by participants’ task experience. Furthermore, working memory capacity interacted with object imagery usage to predict the amount of detail in participants’ forecasts; however, the impact of working memory and object imagery was not transmitted to prediction accuracy. Overall, the findings from this study contribute to the literature on forecasting by highlighting important factors in the forecasting process.
Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals

Self-organization is one of fundamental brain computations for forming efficient representations of information. Experimental support for this idea has been largely limited to the developmental and reorganizational formation of neural circuits in the sensory cortices. We now propose that self-organization may also play an important role in short-term synaptic changesinreward-drivenvoluntarybehaviors.Ithasrecentlybeenshown that many neurons in the basal ganglia change their sensory responses flexibly in relation to rewards. Our computational model proposes that the rapid changes in striatal projection neurons depend on the subtle balance between the Hebb-type mechanisms of excitation and inhibition, which are modulated by reinforcement signals. Simulations based on the model are shown to produce various types of neural activity similar to those found in experiments.
The Non-linear Trajectory of Change in Play Profiles of Three Children in Psychodynamic Play Therapy

Aim: Even though there is substantial evidence that play based therapies produce significant change, the specific play processes in treatment remain unexamined. For that purpose, processes of change in long-term psychodynamic play therapy are assessed through a repeated systematic assessment of three children’s “play profiles,” which reflect patterns of organization among play variables that contribute to play activity in therapy, indicative of the children’s coping strategies, and an expression of their internal world. The main aims of the study are to investigate the kinds of play profiles expressed in treatment, and to test whether there is emergence of new and more adaptive play profiles using dynamic systems theory as a methodological framework. Methods and Procedures: Each session from the long-term psychodynamic treatment (mean number of sessions = 55) of three 6-year-old good outcome cases presenting with Separation Anxiety were recorded, transcribed and coded using items from the Children’s Play Therapy Instrument (CPTI), created to assess the play activity of children in psychotherapy, generating discrete and measurable units of play activity arranged along a continuum of four play profiles: “Adaptive,” “Inhibited,” “Impulsive,” and “Disorganized. ” The play profiles were clustered through K-means Algorithm, generating seven discrete states characterizing the course of treatment and the transitions between these states were analyzed by Markov Transition Matrix, Recurrence Quantification Analysis (RQA) and odds ratios comparing the first and second halves of psychotherapy. Results: The Markov Transitions between the states scaled almost perfectly and also showed the ergodicity of the system, meaning that the child can reach any state or shift to another one in play. The RQA and odds ratios showed two trends of change, first concerning the decrease in the use of “less adaptive” strategies, second regarding the reduction of play interruptions. Conclusion: The results support that these children express different psychic states in play, which can be captured through the lens of play profiles, and begin to modify less dysfunctional profiles over the course of treatment. The methodology employed showed the productivity of treating psychodynamic play therapy as a complex system, taking advantage of non-linear methods to study psychotherapeutic play activity.
Comparison of the Transcriptomes of Ginger (Zingiber officinale Rosc.) and Mango Ginger (Curcuma amada Roxb.) in Response to the Bacterial Wilt Infection

Bacterial wilt in ginger (Zingiber officinale Rosc.) caused by Ralstonia solanacearum is one of the most important production constraints in tropical, sub-tropical and warm temperature regions of the world. Lack of resistant genotype adds constraints to the crop management. However, mango ginger (Curcuma amada Roxb.), which is resistant to R. solanacearum, is a potential donor, if the exact mechanism of resistance is understood. To identify genes involved in resistance to R. solanacearum, we have sequenced the transcriptome from wilt-sensitive ginger and wilt-resistant mango ginger using Illumina sequencing technology. A total of 26387032 and 22268804 paired-end reads were obtained after quality filtering for C. amada and Z. officinale, respectively. A total of 36359 and 32312 assembled transcript sequences were obtained from both the species. The functions of the unigenes cover a diverse set of molecular functions and biological processes, among which we identified a large number of genes associated with resistance to stresses and response to biotic stimuli. Large scale expression profiling showed that many of the disease resistance related genes were expressed more in C. amada. Comparative analysis also identified genes belonging to different pathways of plant defense against biotic stresses that are differentially expressed in either ginger or mango ginger. The identification of many defense related genes differentially expressed provides many insights to the resistance mechanism to R. solanacearum and for studying potential pathways involved in responses to pathogen. Also, several candidate genes that may underline the difference in resistance to R. solanacearum between ginger and mango ginger were identified. Finally, we have developed a web resource, ginger transcriptome database, which provides public access to the data. Our study is among the first to demonstrate the use of Illumina short read sequencing for de novo transcriptome assembly and comparison in non-model species of Zingiberaceae.
Error characterization tool for planar near-field antenna measurement and diagnostics applications

An error characterization tool is presented in this contribution to study the effect of mechanical and positioning errors in the near-field to far-field transformation and the computation of the aperture field processes in different planar measurement setups. Validation of the error simulation tool is made by comparison of the results with a set of measurements in a planar near-field range.
Toll-like receptor signaling pathway in chronic lymphocytic leukemia: distinct gene expression profiles of potential pathogenic significance in specific subsets of patients

Background Signaling through the B-cell receptor appears to be a major contributor to the pathogenesis of chronic lymphocytic leukemia. Toll-like receptors bridge the innate and adaptive immune responses by acting as co-stimulatory signals for B cells. The available data on the expression of Toll-like receptors in chronic lymphocytic leukemia are limited and derive from small series of patients. Design and Methods We profiled the expression of genes associated with Toll-like receptor signaling pathways in 192 cases of chronic lymphocytic leukemia and explored potential associations with molecular features of the clonotypic B-cell receptors. Results Chronic lymphocytic leukemia cells express all Toll-like receptors expressed by normal activated B cells, with high expression of TLR7 and CD180, intermediate expression of TLR1, TLR6, TLR10 and low expression of TLR2 and TLR9. The vast majority of adaptors, effectors and members of the NFKB, JNK/p38, NF/IL6 and IRF pathways are intermediately-to-highly expressed, while inhibitors of Toll-like receptor activity are generally low-to-undetectable, indicating that the Toll-like receptor-signaling framework is competent in chronic lymphocytic leukemia. Significant differences were identified for selected genes between cases carrying mutated or unmutated IGHV genes or assigned to different subsets with stereotyped B-cell receptors. The differentially expressed molecules include receptors, NFκB/MAPK signaling molecules and final targets of the cascade. Conclusions The observed variations are suggestive of distinctive activation patterns of the Toll-like receptor signaling pathway in subgroups of cases of chronic lymphocytic leukemia defined by the molecular features of B-cell receptors. Additionally, they indicate that different or concomitant signals acting through receptors other than the B-cell receptor can affect the behavior of the malignant clone.
Capital Flows, Beliefs, and Capital Controls

Addressing policy-makers concerns that the post-GFC international capital flows to merging economies were speculative, we build a model with information frictions and use it to analyze different forms of capital controls. We show theoretically that survival forces proliferate in multi-good economies and that limiting financial trades offers welfare gains despite inhibiting insurance possibilities. Capital controls tame speculation motives, limit movements of the net foreign asset positions, and thus reduce consumption volatility. Our numerical analysis indicates that A) welfare gains from imposing capital controls can be substantial, equivalent to a permanent consumption increase of up to 4%, or 80 times the cost of business cycles. B) Controls that activate only during large inflows or outflows are preferred to those constantly active, e.g. a transaction tax used by some emerging market economies. C) Despite improving macroeconomic stability capital controls may unintentionally lead to increased volatility in the domestic financial markets.