Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability and validity of the DBT-VLCS: A measure to code validation strategies in dialectical behavior therapy sessions

Abstract Objective: There are six strategies or validation levels in dialectical behavior therapy (DBT), yet there are no measures designed to code for them. This absence limits our understanding of the relationship between validation strategies and treatment outcome. The DBT-Validation Level Coding Scale (DBT-VLCS) was developed to overcome this limitation. Method: This research reports on the interrater reliability and content validity for the DBT-VLCS. Results: Overall, interrater reliability was excellent for all items, with the exception of two items that demonstrated good reliability. Good content validity was demonstrated for six of the seven items. Conclusions: This preliminary study suggests that the DBT-VLCS is a reliable and valid measure to code the presence of validation in DBT. This measure creates the opportunity for research that has not previously been possible.
DP2: reducing transaction overhead with differential and dual persistency in persistent memory

Emerging non-volatile memory (NVRAM) technologies, like phase change memory, envision persistent memory architectures. In case of power failure, operations on persistent memory should be in transactional semantics by adopting techniques such as WAL. To ensure consistency and atomicity, persist barriers are widely adopted, to prevent persistent memory controller from scheduling writes and exploiting bank-level parallelism of NVRAM devices. Besides, unified retention time for persistent writes, i.e., log and data writes, further reduces the performance of persistent memory system, while retention time for log writes does not need to be so long due to periodic truncation. In this paper, we study how NVRAM write latency affects the system throughput and propose DP2, which consists of two main techniques: differential persistency and dual persistency. Differential persistency distinguishes log writes from data writes, and enhances the NVRAM memory controller to schedule log writes across persist barriers to fully utilize bank level parallelism. Dual persistency relaxes the retention time of log writes to reduce write latency and the iterations per write, which in turn enhances lifetime of NVRAM devices. Evaluation results show that our proposed techniques improve system throughput up by 43% on average and extend lifetime up by 47%, with 104-s retention time for log writes.
Mutual information-based Fisher discriminant analysis for feature extraction and recognition with applications to medical diagnosis

This paper presents a novel discriminant analysis (DA) for feature extraction using mutual information (MI) and Fisher discriminant analysis (MI-FDA). Most DA algorithms for feature extraction are based on a transformation which maximizes the between-class scatter and minimizes the within-class scatter. In contrast, the proposed method uses the Fisher's criterion to find a transformation that maximizes the MI between the transferred features and the target classes and minimizes the redundancy. The performance of the proposed method is evaluated using UCI databases and compared with the performance of some DA-based algorithms. The results indicate that MI-FDA provides a robust performance over different data sets with different characteristics. On average, an accuracy rate of 81.3% was achieved using MI-FDA.
Stress Response Syndromes in Women Undergoing Mammography: A Comparison of Women With and Without a History of Breast Cancer

Objective The purpose of this study was to assess the incidence, severity, and correlates of acute stress responses in women undergoing diagnostic mammographic surveillance and to explore the moderating impact of physician support on these symptoms. Methods Sixty-six female breast cancer outpatients (at least 12 months after diagnosis and primary treatment) and 69 healthy women undergoing mammographic surveillance completed measures of: acute stress response, somatization, trauma history, psychiatric history, social support, and physician satisfaction. Results Previous cancer, pre-mammography breast complaints, lower income, previous psychiatric medication use, greater instrumental support, greater somatization, greater perceived physician disengagement, and less perceived physician support were all associated with increased stress responses. Among women with a previous cancer diagnosis, those with greater distress reported higher levels of physician support. In contrast, among those without a previous cancer diagnosis, those with greater perceived physician support reported less distress. Conclusions These findings suggest that cancer-related cues, such as follow-up surveillance, may trigger a sensitizing response in women with a previous cancer diagnosis. The association of distress with physician support may arise from the responsiveness of physicians to identified distress, from increased help-seeking behavior by those who are distressed, or both. The benefit of support provided by health care professionals to those at risk of developing stress response syndromes deserves further study.
Surface registration from range image fusion

The registration of full 3-D models is an important task in computer vision. Range finders only reconstruct a partial view of the object. Many authors have proposed several techniques to register 3D surfaces from multiple views in which there are basically two aspects to consider. First, poor registration in which some sort of correspondences are established. Second, accurate registration in order to obtain a better solution. A survey of the most common techniques is presented and includes experimental results of some of them.
Cognition, Language and Behaviour in Motor Neurone Disease: Evidence of Frontotemporal Dysfunction

Cognitive symptoms accompanying motor neurone disease (MND) have been recognized and described since the late 19th century. Numerous reports from Europe, North America and Japan suggest existence of a syndrome that can be described as MND/dementia. Typically, psychiatric and cognitive changes, strongly reminiscent of frontotemporal dementia, precede the occurrence of the classical signs and symptoms of MND by several months. In a small number of patients a similar picture can be heralded by a progressive aphasia leading ultimately to mutism. While the syndromes of MND/dementia and MND/aphasia constitute a comparatively small group, subtle but consistent cognitive alterations have also been observed in the majority of nondemented MND patients. Although generally much less pronounced, their pattern, affecting mostly frontal-executive functions, resembles that of MND/dementia. Postmortem examination results, describing pathological changes in the frontal lobes, and functional neuroimaging studies, showing abnormal pattern of frontal activation, add more weight to the hypothesis linking MND to the frontotemporal dementia.
A Distributed Relay Selection Algorithm for Cooperative Multicast in Wireless Mesh Networks

Recently, wireless mesh networks (WMNs) have drawn significant attention from academia and industry as a fast, easy, and inexpensive solution for broadband wireless access. In WMNs, many important applications, such as mobile TV and video/audio conferencing, require the support of multicast. In this paper, we address the issue of multicast cooperative communications over WMN. Specifically, we identify the selection of relay nodes as a critical step to the success of cooperative multicast. To solve this problem, we develop the concept of in-group/out-group cooperation as well as a distributed relay selection algorithm for the mobile computing environment. Extensive simulation results show that our approach can efficiently mitigate the multicast transmission errors in wireless mesh networks.
A longitudinal study of topic classification on Twitter

Twitter represents a massively distributed information source over topics ranging from social and political events to entertainment and sports news. While recent work has suggested this content can be narrowed down to the personalized interests of individual users by training topic filters using standard classifiers, there remain many open questions about the efficacy of such classification-based filtering approaches. For example, over a year or more after training, how well do such classifiers generalize to future novel topical content, and are such results stable across a range of topics? In addition, how robust is a topic classifier over the time horizon, e.g., can a model trained in 1 year be used for making predictions in the subsequent year? Furthermore, what features, feature classes, and feature attributes are most critical for long-term classifier performance? To answer these questions, we collected a corpus of over 800 million English Tweets via the Twitter streaming API during 2013 and 2014 and learned topic classifiers for 10 diverse themes ranging from social issues to celebrity deaths to the “Iran nuclear deal”. The results of this long-term study of topic classifier performance provide a number of important insights, among them that: (i) such classifiers can indeed generalize to novel topical content with high precision over a year or more after training though performance degrades with time, (ii) the classes of hashtags and simple terms contain the most informative feature instances, (iii) removing tweets containing training hashtags from the validation set allows better generalization, and (iv) the simple volume of tweets by a user correlates more with their informativeness than their follower or friend count. In summary, this work provides a long-term study of topic classifiers on Twitter that further justifies classification-based topical filtering approaches while providing detailed insight into the feature properties most critical for topic classifier performance.
Overview of 3-D Architecture Design Opportunities and Techniques

Three-dimensional (3-D) integration, a breakthrough technology to achieve “More Moore and More Than Moore,” provides numerous benefits, e.g., higher performance, lower power consumption, and higher bandwidth, by utilizing vertical interconnects and die/wafer stacking. This paper presents an overview of 3-D integration along with various design challenges and recent innovations. —Partha Pande, Washington State University
N-slit interferometer for secure free-space optical communications: 527 m intra interferometric path length

The N-slit interferometer is demonstrated to function with an intra interferometric propagation path length of 527.33 m. Interferograms representing several interferometric characters, corresponding to N = 2, 3, 4, and 5, were recorded at the interferometric plane located at the end of an open air propagation range. Interferometric computations, based on the application of Dirac’s notation, were successfully used to predict the structure and divergence of the propagating interferograms. These measurements were carried out during an unusual mild-temperature, low-humidity, summer night in northern Alabama. In the laboratory, at an intra interferometric propagation path length of 7.235 m, the N-slit interferometer was also used to successfully detect the intrusion of microscopic fibers into the intra interferometric propagation path. These experiments led to the detection of diffraction patterns superimposed over the interferograms.
Surface reconstruction for animation of ocean waves

Surface reconstruction from particle system is a difficult problem. In this paper, we introduce a method to reconstruct the surface from particle-based simulation of ocean waves with complex shape and splashes. Each 2D slice of particle volume is projected onto an image, and then the image is segmented for recognition of water body and splash fragments. Outlines of the water body are extracted directionally. The mesh of surface is reconstructed by tiling the triangular strip from the outlines of the slices. The experiments show that the efficiency of this method is very competitive.
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures

Surgical workflow in minimally invasive interventions like laparoscopy can be modeled with the aid of tool usage information. The video stream available during surgery primarily for viewing the surgical site using an endoscope can be leveraged for this purpose without the need for additional sensors or instruments. We propose a method which learns to detect the tool presence in laparoscopy videos by leveraging the temporal connectionist information in a systematically executed surgical procedures by learning the long and short order relationships between higher abstractions of the spatial visual features extracted from the surgical video. We propose a framework consisting of using Convolutional Neural Networks for extracting the visual features and Long Short-Term Memory network to encode the temporal information. The proposed framework has been experimentally verified using a publicly available dataset consisting of 10 training and 5 testing annotated videos to obtain an average accuracy of 88:75% in detecting the tools present.
A study of non-stochastic IMU errors in strapdown airborne gravimetry

Strapdown airborne gravimetry is the determination of the Earth's gravity acceleration from an aircraft, using a strapdown inertial measurement unit (IMU) in combination with an aiding sensor (typically GNSS). Several publications show, that a modern navigation-grade IMU in combination with two-frequency phase-differential GNSS enables the gravity determination to the level of several micro-g. We hereby present a quantitative analysis of the impact of non-stochastic IMU errors on the gravity determination, based on simulated gravity flights with realistic dynamics. Several error types are discussed, including biases, scale factors, cross-couplings and misalignments of the sensor triads, each for both the accelerometers and gyroscopes. In particular, it is shown that the on-line estimation of in-flight accelerometer bias changes is not possible for this application, due to the inseparability against changes in the gravity signal. For each type of stochastic IMU errors, a threshold value is provided where the average error of the estimated gravity reaches 1 mGal. As an example, these threshold values are compared to actual accelerometer calibration results of an iMAR RQH unit. It is shown for this device, that a proper calibration is required in order to reach gravity estimate accuracies at the 1 mGal level.
MORE SENSE: MOvie REviews SENtiment analysis boosted with SEmantics

Sentiment analysis is becoming one of the most active area in Natural Language Processing nowadays. Its importance coincides with the growth of social media and the open space they create for expressing opinions and emotions via reviews, forum discussions, microblogs, Twitter and social networks. Most of the existing approaches on sentiment analysis rely mainly on the presence of affect words that explicitly reflect sentiment. However, these approaches are semantically weak, that is, they do not take into account the semantics of words when detecting their sentiment in text. Only recently a few approaches (e.g. sentic computing) started investigating towards this direction. Following this trend, this paper investigates the role of semantics in sentiment analysis of movie reviews. To this end, frame semantics and lexical resources such as BabelNet are employed to extract semantic features from movie reviews that lead to more accurate sentiment analysis models. Experiments are conducted with different types of semantic information by assessing their impact in movie reviews dataset. A 10-fold cross-validation shows that F1 measure increases slightly when using semantics in sentiment analysis in social media. Results show that the proposed approach considering word’s semantics for sentiment analysis is a promising direction.
The gooseberry–zipper region of Drosophila: five genes encode different spatially restricted transcripts in the embryo

Genetic analysis of the Drosophila chromosome region 60 E9‐F1 identified two functions affecting embryonic development; gooseberry (gsb), a segment polarity gene, and zipper (zip), an unclassified gene which affects cuticle formation severely. By contrast, molecular analysis revealed five genes with different temporal and spatial patterns of expression in the embryo. Candidate genes for gsb and zip functions were identified. Two adjacent genes are eventually expressed in regular stripes within the posterior region of each segment. One of them is expressed initially in a pair‐rule mode; the second gene expresses reduced levels of transcripts in a mutant which leaves the transcribed region and the sequences up to the second gene intact. This observation, the patterns of transcripts in the embryo and the genetic data suggest that both genes are involved in gooseberry segmentation function. zip is expressed in neural tissue and not in epidermal anlagen. Embryos lacking zip activity also develop abnormal neural tissue consistent with the argument that the zip cuticle phenotype is a secondary effect. Additional newly identified genes are expressed in specific domains of the embryo, covering mesoderm anlagen and the dorsal region of embryos at blastoderm stage, respectively.
RED CELLS , IRON , AND ERYTHROPOIESIS Cytokinesis failure in RhoA-de fi cient mouse erythroblasts involves actomyosin and midbody dysregulation and triggers p 53 activation

Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH; College of Nursing, University of Cincinnati, Cincinnati, OH; Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH; Systems Biology of Signal Transduction, German Cancer Research Center, Center for Molecular Biology Alliance, Heidelberg, Germany; and Department of Pediatrics, Center for Pediatric Biomedical Research, University of Rochester Medical Center, Rochester, NY
To Mother or Matter

Despite a burgeoning interest in the interface between work and relationships, and its origins in feminist thought, crucial aspects of women’s experiences have remained invisible in the face of mainstream discourse in the career field. Many women have and will continue to define motherhood as a career, yet none of our career development theories do so. In this article, an historical, sociocultural, and political framework for the context of the career development of women who mother is offered. Existing career theory is discussed in light of women’s mothering work and a relational cultural paradigm is offered as a theoretical backdrop for the consideration of critical issues relevant to women’s work. Implications for career counseling practice, research, and public policy are offered.
Spectrroscopic Sensing of Cancer and Cancer Therapy: Current Status of Translational Research

Various types of optical spectroscopy have been investigated as methods to effect a noninvasive, real-time in-situ assessment of tissue pathology. All of these methods have one basic principle in common: the optical spectrum of a tissue contains information about the biochemical composition and/or the structure of the tissue, and that information conveys diagnostic information. The biochemical information can be obtained by measuring absorption, fluorescence, or Raman scattering signals. Structural and morphological information may be obtained by techniques that assess the elastic-scattering properties of tissue. These basic approaches are useful for the detection of cancer as well as for other diagnostic applications such as hemoglobin saturation, intra-luminal detection of atherosclerosis, and simply the identification of different tissue types during procedures. Optical spectroscopic measurements can also be employed in the management of disease treatment. The site-specific pharmacokinetics of chemotherapy and photodynamic therapy agents can be used to customize dosage to the patient, and diagnostic spectroscopy can be used to monitor response to treatment. In recent years clinical studies have provided indications of potential efficacy, and some of these modalities are now entering a translational research stage, with an eye to approval and commercialization. A benefit of these methods is their inherent low cost and ease of implementation, generally mediated with small portable instruments, not requiring any specialized facilities, and eventually not requiring expert interpretation. This paper reviews briefly the most common methods of diagnostic optical spectroscopy, and reviews in greater depth recent clinical translational research invoking scattering spectroscopy as the enabling technology, which has been the experience of the authors.
Recovery from hip fracture in eight areas of function.

BACKGROUND This report describes changes in eight areas of functioning after a hip fracture, identifies the point at which maximal levels of recovery are reached in each area, and evaluates the sequence of recuperation across multiple functional domains. METHODS. Community-residing hip fracture patients (n = 674) admitted to eight hospitals in Baltimore, Maryland, 1990-1991 were followed prospectively for 2 years from the time of hospitalization. Eight areas of function (i.e., upper and lower extremity physical and instrumental activities of daily living; gait and balance; social, cognitive, and affective function) were measured by personal interview and direct observation during hospitalization at 2, 6, 12, 18, and 24 months. Levels of recovery are described in each area, and time to reach maximal recovery was estimated using Generalized Estimating Equations and longitudinal data. RESULTS Most areas of functioning showed progressive lessening of dependence over the first postfracture year, with different levels of recovery and time to maximum levels observed for each area. New dependency in physical and instrumental tasks for those not requiring equipment or human assistance prefracture ranged from as low as 20.3% for putting on pants to as high as 89.9% for climbing five stairs. Recuperation times were specific to area of function, ranging from approximately 4 months for depressive symptoms (3.9 months), upper extremity function (4.3 months), and cognition (4.4 months) to almost a year for lower extremity function (11.2 months). CONCLUSIONS Functional disability following hip fracture is significant, patterns of recovery differ by area of function, and there appears to be an orderly sequence by which areas of function reach their maximal levels.
An equivalence checking algorithm based on cutset match of gate-level circuits

In design process of digital circuits, an equivalence checking algorithm is proposed on cut-set match of a gate-level circuit in order to improve the correctness of the circuit design and time and space efficiency of verification. Firstly of all, the specification and implementation circuits are divided into several set-cuts, which are called logic cones in accordance with partition rules. Secondly, cut-sets of two circuits are matched using matching techniques. Thirdly, an “exclusive-or” gate is connected to outputs of the two matched cut-sets, then the miter circuit is constructed, and the structure is changed to the corresponding conjunctive normal formula. Finally, the miter circuit is proven to be functionally equivalent or not by using the engine of SAT. Experimental results show the feasibility of the approach on the ISCAS'85 benchmark circuits.