Miracle-dz/UniFAR-FTUs huggingface dataset:
An Interpersonal Analysis of Pathological Personality Traits in DSM-5

The proposed changes to the personality disorder section of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) places an increased focus on interpersonal impairment as one of the defining features of personality psychopathology. In addition, a proposed trait model has been offered to provide a means of capturing phenotypic variation on the expression of personality disorder. In this study, the authors subject the proposed DSM-5 traits to interpersonal analysis using the Inventory of Interpersonal Problems–Circumplex scales via the structural summary method for circumplex data. DSM-5 traits were consistently associated with generalized interpersonal dysfunction suggesting that they are maladaptive in nature, the majority of traits demonstrated discriminant validity with prototypical and differentiated interpersonal problem profiles, and conformed well to a priori hypothesized associations. These results are discussed in the context of the DSM-5 proposal and contemporary interpersonal theory, with a particular focus on potential areas for expansion of the DSM-5 trait model.
CT use in pain management

Although the application of CT-guided fluoroscopy techniques for interventional radiology have become more popular, a majority of practitioners in health care remain unfamiliar with their possibilities. Accurate imaging accompanied by guided techniques increase the precision of analgetic procedures, improving results and reducing complications. Main focuses of CT fluoroscopy use in pain management are axial spinal procedures, including zygapophyseal (ZAJ) (facet) joint injection, medial branch rhizolysis, sacroiliac joint injection, transforaminal nerve root block and peri-radicular infiltration, dorsal interlaminar epidural injection, costotransverse and costovertebral joint injections, and blocks of the sympathetic nerve ganglia, splanchnic, and celiac plexus nerve blocks.
Psychometric Properties of the Emotion Understanding Assessment With Spanish- and English-Speaking Preschoolers Attending Head Start

The Emotion Understanding Assessment (EUA) is based on a theoretical model of recognizing emotion expressions and reasoning about situation-based, desire-based, and belief-based emotions. While research has noted that emotion understanding predicts current and future social and academic functioning, little is known about the psychometric properties of the EUA. This research sought to test the EUA factor structure and measurement invariance across gender, across language (English and Spanish speakers), and over time (24 weeks) in 281 preschoolers attending Head Start. Results indicated that a two-factor model of emotion expression recognition and emotional perspective taking of the EUA fit the data for the total sample, for each group (gender and language), and at each time point. Furthermore, configural and scalar invariance of the EUA was demonstrated across gender, language, and time. These results offer support that the EUA is assessing emotion expression recognition and emotional perspective taking constructs equivalently in boy, girls, Spanish and English speakers, and over time. Examination of latent means across groups and time indicate no differences in emotion understanding based on gender or language or over the 24-week time frame in this sample of preschoolers attending Head Start.
Age-Related Changes in the Center of Pressure Trajectory during Obstacle Crossing

[Purpose] The purpose of this study was to determine how younger and older adults modulate the center of pressure (COP) trajectory in the anteroposterior (A-P) and mediolateral (M-L) directions while stepping over an obstacle and during gait initiation (GI). [Subjects] Fifteen community-dwelling healthy older adults and fifteen healthy younger adults volunteered to participate in this study. [Methods] Subjects initiated gait or stepped over an obstacle at a self-paced speed with the right limb, in response to auditory cues. Performance was assessed by recording changes in the displacement of the COP in the A-P and M-L directions using two force plates. [Results] For combined test conditions, the A-P and M-L displacements of the COP in the older adults were significantly lower than the A-P and M-L displacements of the COP in the younger adults (p < 0.05). However, there were no significant differences between GI and stepping conditions for the COP shift (p > 0.05). [Conclusion] These findings suggest that a reduction in the magnitude of the COP shift with obstacle avoidance diminishes the ability of older adults to generate forward momentum and to maintain the lateral stability that is highly related to falls.
Measuring Suicidality Using the Personality Assessment Inventory

Although numerous studies have examined the psychometric properties and clinical utility of the Personality Assessment Inventory in correctional contexts, only two studies to date have specifically focused on suicide ideation. This article examines the convergent validity of the Suicide Ideation Scale and the Suicide Potential Index on the Personality Assessment Inventory in a large, nontreatment sample of male and female federal inmates (N = 1,120). The data indicated robust validity support for both the Suicide Ideation Scale and Suicide Potential Index, which were each correlated with a broad group of validity indices representing multiple assessment modalities. Recommendations for future research to build upon these findings through replication and extension are made.
Assessment of Postpartum Depressive Symptoms

Assessing postpartum depressive symptoms is complicated by the fact that irritability, fatigue, insomnia, and appetite disruptions are also related to normative aspects of the childbearing process. We used multigroup confirmatory factor analysis to compare symptoms in 271 postpartum women with those of 820 non-postpartum women. We found that (a) irritability, insomnia, fatigue, and appetite loss were substantially associated with depressed mood among postpartum women whereas increased appetite was not; (b) irritability, insomnia, fatigue, and appetite changes were as strongly related to depression among postpartum women as they were among non-postpartum women; and (c) after controlling for overall depressed mood, postpartum women reported more irritability, insomnia, and appetite loss than the non-postpartum women. Irritability, fatigue, insomnia, and appetite loss are valid indicators and should be used to measure postpartum depressive symptoms. However, scores on these symptoms should be adjusted downward to account for their higher baseline rates in the postpartum population.
Novel Results on Generalized Dissipativity of Two-Dimensional Digital Filters

Existing results on the generalized dissipativity of digital filters are limited to 1-D cases. This brief presents some novel results on the generalized dissipativity of 2-D filters in the discrete Fornasini–Marchesini second (FMS) form. More specifically, we propose a criterion to ascertain that single 2-D filters in the discrete FMS form are 2-D generalized dissipative. Using this result, a condition is established such that the interconnected 2-D filters in the discrete FMS form are 2-D generalized dissipative. Furthermore, the asymptotic stability of unforced interconnected 2-D filters is examined. It is shown that the results developed in our recent work for 1-D filters and in this brief for 2-D filters serve as an overall framework for the generalized dissipativity of digital filters.
Local Graph Partitioning using PageRank Vectors

A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than the size of the input graph. In this paper, we present a local partitioning algorithm using a variation of PageRank with a specified starting distribution. We derive a mixing result for PageRank vectors similar to that for random walks, and show that the ordering of the vertices produced by a PageRank vector reveals a cut with small conductance. In particular, we show that for any set C with conductance Phi and volume k, a PageRank vector with a certain starting distribution can be used to produce a set with conductance (O(radic(Phi log k)). We present an improved algorithm for computing approximate PageRank vectors, which allows us to find such a set in time proportional to its size. In particular, we can find a cut with conductance at most oslash, whose small side has volume at least 2b in time O(2 log m/(2b log2 m/oslash2) where m is the number of edges in the graph. By combining small sets found by this local partitioning algorithm, we obtain a cut with conductance oslash and approximately optimal balance in time O(m log4 m/oslash)
A 5-bit 300–900-MS/s 0.8–1.2-V Supply Voltage ADC With Background Self-Calibration

Low-power, high-speed, and low-resolution analog-to-digital converters (ADCs) are mandatory for a wide range of modern applications. In this brief, a background-calibrated low-power 5-bit comparator-based binary-search ADC is presented. The ADC, which was implemented in a 130-nm complementary metal-oxide-semiconductor process, can compensate for process-voltage-temperature variations on-the-fly and offers state-of-the-art figure of merit (FoM) for the set of specifications. Multiple track-and-hold working in time interleaving are employed to enable increased conversion speed at low power consumption, whereas the comparator stages operate in amplifierless pipelining. As the comparators present a significant offset spread due to process variations, the thresholds are concurrently calibrated with the conversion using a reference digital-to-analog converter. The ADC operates with supply voltages ranging from 0.8 to 1.2 V. When supplied with 0.8 V, the ADC performs up to 300 MS/s and presents 28.13 dB, 235 μW, and 39.4 fJ/conversion step of signal-to-noise-and-distortion ratio (SNDR), power consumption, and FoM, respectively. With 1.2 V of supply, the ADC performs up to 900 MS/s and presents 27.83 dB of SNDR, 1.54 mW of power consumption, and 82.5 fJ/conversion step of FoM.
Assessing Intimate Relationships of Chinese Couples in Taiwan Using the Marital Satisfaction Inventory–Revised

The current study examined the psychometric characteristics of the Chinese translation of the Marital Satisfaction Inventory–Revised (MSI-R) in a community sample of 117 couples from Taiwan. The Chinese MSI-R demonstrated moderate to strong internal consistency. Confirmatory factor analysis revealed similar scale factor structures in the Taiwanese and U.S. standardization samples. Mean profile comparisons between the current Taiwanese sample and the original MSI-R standardization sample revealed statistically significant but small differences on several subscales. Overall, the psychometric characteristics of the Chinese MSI-R lend support to its use with couples from diverse cultural backgrounds whose sole or preferred language is Chinese. It may also be appropriate to use the MSI-R in clinical settings for prevention or intervention efforts directed at Chinese-speaking couples. The implications of these findings for clinical and research purposes are discussed.
Three-dimensional holey-graphene/niobia composite architectures for ultrahigh-rate energy storage

As with donuts, the holes matter Improving the density of stored charge and increasing the speed at which it can move through a material are usually opposing objectives. Sun et al. developed a Nb2O5/holey graphene framework composite with tailored porosity. The three-dimensional, hierarchically porous holey graphene acted as a conductive scaffold to support Nb2O5. A high mass loading and improved power capability were reached by tailoring the porosity in the holey graphene backbone with higher charge transport in the composite architecture. The interconnected graphene network provided excellent electron transport, and the hierarchical porous structure in the graphene sheets facilitated rapid ion transport and mitigated diffusion limitations. Science, this issue p. 599 A graphene/Nb2O5 composite shows optimized electron and ion transport. Nanostructured materials have shown extraordinary promise for electrochemical energy storage but are usually limited to electrodes with rather low mass loading (~1 milligram per square centimeter) because of the increasing ion diffusion limitations in thicker electrodes. We report the design of a three-dimensional (3D) holey-graphene/niobia (Nb2O5) composite for ultrahigh-rate energy storage at practical levels of mass loading (>10 milligrams per square centimeter). The highly interconnected graphene network in the 3D architecture provides excellent electron transport properties, and its hierarchical porous structure facilitates rapid ion transport. By systematically tailoring the porosity in the holey graphene backbone, charge transport in the composite architecture is optimized to deliver high areal capacity and high-rate capability at high mass loading, which represents a critical step forward toward practical applications.
Decoding of position in the developing neural tube from antiparallel morphogen gradients

Building the neural tube The development of the neural tube is regulated by a pair of morphogens acting in opposing gradients. The mature neural tube is built from a variety of different cell types organized in a consistent dorsal-ventral pattern. Zagorski et al. asked how this pattern is defined in a reproducible way from individual to individual. The morphogens define positions most accurately toward the top of their respective gradients, but things get a bit messy in the middle. Modeling the gene regulatory network's response as a maximum likelihood estimation from the combined input of both morphogens, however, succeeds at defining even the intermediate positions. Thus, the computation of position by the gene regulatory network establishes accurate tissue patterning despite messy inputs. Science, this issue p. 1379 A gene regulatory network responds to noisy signals to build robustness and accuracy into tissue patterning during development. Like many developing tissues, the vertebrate neural tube is patterned by antiparallel morphogen gradients. To understand how these inputs are interpreted, we measured morphogen signaling and target gene expression in mouse embryos and chick ex vivo assays. From these data, we derived and validated a characteristic decoding map that relates morphogen input to the positional identity of neural progenitors. Analysis of the observed responses indicates that the underlying interpretation strategy minimizes patterning errors in response to the joint input of noisy opposing gradients. We reverse-engineered a transcriptional network that provides a mechanistic basis for the observed cell fate decisions and accounts for the precision and dynamics of pattern formation. Together, our data link opposing gradient dynamics in a growing tissue to precise pattern formation.
Path Finding Methods for Linear Programming: Solving Linear Programs in Õ(vrank) Iterations and Faster Algorithms for Maximum Flow

In this paper, we present a new algorithm for '/ solving linear programs that requires only Õ(√rank(A)L) iterations where A is the constraint matrix of a linear program with m constraints, n variables, and bit complexity L. Each iteration of our method consists of solving Õ(1) linear systems and additional nearly linear time computation. Our method improves upon the previous best iteration bounds by factor Ω̃((m/rank (A)))<sup>1/4</sup>) of for methods with polynomial time computable iterations and by Ω̃((m/rank (A))<sup>1/2</sup>) for methods which solve at most Õ(1) linear systems in each iteration each achieved over 20 years ago. Applying our techniques to the linear program formulation of maximum flow yields an Õ(|E| √|V| log<sup>2</sup> U) time algorithm for solving the maximum flow problem on directed graphs with |E| edges, |V| vertices, and capacity ratio U. This improves upon the previous fastest running time of O(|E| min{|E|<sup>1/2</sup>, |V|<sup>2/3</sup>} log (|V|<sup>2</sup>/|E|) log(U)) achieved over 15 years ago by Goldberg and Rao and improves upon the previous best running times for solving dense directed unit capacity graphs of Õ(|E| min{|E|<sup>1/2</sup>, |V|<sup>2/3</sup>}) achieved by Even and Tarjan over 35 years ago and a running time of Õ(|E|<sup>10/7</sup>) achieved recently by Madry.
Ambulatory Assessment

In recent years, significant technological advances have changed our understanding of dynamic processes in clinical psychology. A particularly important agent of change has been ambulatory assessment (AA). AA is the assessment of individuals in their daily lives, combining the twin benefits of increased ecological validity and minimized retrospective biases. These benefits make AA particularly well-suited to the assessment of dynamic processes, and recent advancements in technology are providing exciting new opportunities to understand these processes in new ways. In the current article, we briefly detail the capabilities currently offered by smartphones and mobile physiological devices, as well as some of the practical and ethical challenges of incorporating these new technologies into AA research. We then provide several examples of recent innovative applications of AA methodology in clinical research, assessment, and intervention and provide a case example of AA data generated from a study utilizing multiple mobile devices. In this way, we aim to provide a sense of direction for researchers planning AA studies of their own.
Raised levels of F2-isoprostanes and prostaglandin F2α in different rheumatic diseases

OBJECTIVE To evaluate oxidative injury and inflammatory status in various rheumatic diseases by measuring the levels of isoprostanes and prostaglandins in serum and synovial fluid. METHODS The concentrations of 8-iso-PGF2α (F2-isoprostane indicating oxidative injury) and 15-keto-dihydro-PGF2α (a major metabolite of prostaglandin F2α) were measured in both serum and synovial fluid aspirated from 26 patients with various arthritic diseases, including rheumatoid arthritis (RA), reactive arthritis (ReA), psoriatic arthritis (PsA), and osteoarthritis (OA). These prostaglandin derivatives were also measured in serum samples collected from 42 healthy control subjects. RESULTS Overall, serum levels of 8-iso-PGF2α and 15-keto-dihydro-PGF2α were much higher in patients with arthritic diseases than in the healthy control subjects. The levels of 8-iso-PGF2α and 15-keto-dihydro-PGF2α in synovial fluid aspirated from knee joints were also high and varied among various types of arthritic patients. Although the synovial fluid level of these prostaglandin derivatives was sometimes higher than in the corresponding serum sample, this was not a consistent finding. Overall, there was no correlation between serum and synovial fluid levels of 8-iso-PGF2α, or between serum and synovial fluid levels of 15-keto-dihydro-PGF2α. However, a strong relation was found between the levels of 8-iso-PGF2α and 15-keto-dihydro-PGF2α, in both serum (r s=0.53, p<0.001) and synovial fluid (r s=0.62, p<0.001). CONCLUSIONS These data suggest that both free radical mediated oxidative injury and cyclo-oxygenase dependent inflammatory responses are closely correlated in various types of arthritis.
Resilient Sampled-Data Control for Markovian Jump Systems With an Adaptive Fault-Tolerant Mechanism

This brief investigates the problem of passivity-based resilient sampled-data control for Markovian jump systems subject to actuator faults via an adaptive fault-tolerant mechanism. By constructing a proper Lyapunov function, a set of sufficient conditions is obtained in terms of linear matrix inequalities (LMIs), which ensures that the closed-loop system is stochastically passive. In order to reflect the imprecision in controller, the additive gain variations is considered. Then, the resilient sampled-data control parameters can be determined by solving the obtained LMIs. Finally, an illustrative example is presented to show the validity and applicability of the proposed design technique.
Applying the small-world network to routing structure of FPGAs

The degree of integration and the operating frequency of programmable logic have improved dramatically with the development of new process technologies. However, for the deep sub-micron processes, the delay, reliability, cost, and power tend to be determined by interconnections. In conventional programmable logic, reducing the number of switches on a critical path is important because the wiring delay is considerably smaller than the switch delay. However, to achieve a decrease in the critical path delay it is also necessary to consider the wiring delay for the deep sub-micron processes. This paper proposes a novel routing structure using a small-world network structure for the interconnection of programmable logic. This paper demonstrates that the critical path delay can be reduced. Based on the results of an evaluation, the authors show that the critical path delay can be reduced by a maximum of 15% and the amount of routing resources can be reduced by a maximum of 23% when using the small-world network structure.
Assessing Narcissism Using Rorschach-Based Imagery and Behavior Validated by Clinician Reports: Studies With Adult Patients and Nonpatients

We evaluate 11 Rorschach variables with potential for assessing grandiosity and narcissism. Seven of these variables were drawn from previous literature: Omnipotence, Idealization, Reflection, Personal Knowledge Justification, Exhibitionism, Magic, and Elevated Mood States; four were developed for this research: Expanded Personal Reference, Narcissistic Devaluation, Narcissistic Deflation, and Narcissistic Denial. Using Rorschach protocols from American normative adults and Italian adult outpatients, the dimensional structure of these variables was evaluated by principal components analysis, and validity was tested by correlations with clinician ratings of narcissism on two scales from the Shedler–Westen Assessment Procedure–200 that were made after at least five sessions with the primary clinician. A cohesive dimension was found in both data sets defined by Expanded Personal Reference, Personal Knowledge Justification, Omnipotence, and Idealization, and it was meaningfully correlated with the clinician ratings of narcissism (M r = .41). Implications of the findings include the applicability of these variables in clinical practice and research for assessing narcissistic personality dynamics.