Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of treatment for child and adolescent traumatic stress.

BACKGROUND Despite the expenditure of large sums of public monies to ameliorate the consequences of childhood trauma, little is known about the efficacy of treatment for traumatized children and their families. OBJECTIVE To review the efficacy of treatment for child and adolescent traumatic stress. DATA SOURCES An extensive literature search identified 102 studies addressing child and adolescent trauma treatment. STUDY SELECTION Only 8 studies met the minimal inclusion criteria of (1) using a comparison group and (2) including symptoms of traumatic stress as a treatment outcome. DATA EXTRACTION These studies are critically evaluated for adherence to standards of good efficacy research using formal criteria of treatment research quality. DATA SYNTHESIS Treatment for traumatic stress appears to lead to greater improvement than either no treatment or routine community care. CONCLUSIONS Child and adolescent posttraumatic stress disorder treatment research lags behind both adult posttraumatic stress disorder treatment research and other child treatment research. There is considerable need to establish a programmatic approach to developing evidence-based child trauma treatment. Barriers to conducting child trauma treatment research include sensitivity to the rights of victims and child service models that perceive research as intruding on vulnerable children at critically sensitive points in their development.
Performance Evaluation of an Accessory Category Recognition System Using Deep Neural Network

Deep Learning also called Deep Neural Network (DNN) has a deep hierarchy that connect multiple internal layers for feature detection and recognition learning. DNNs are emerging fast and will continue to grow together with feature detection methods. In previous work, we applied deep learning for vegetable object recognition and explored the Convolutional Neural Network (CNN). In this paper, we propose an enhanced accessory category recognition system which is based on CNN. From the evaluation results, we found that for recognition learning process by CNN, seventy thousand iterations were suitable. The results of learning rate was 99.77% and recognition rate was 99.75%, respectively. We observed that our system can be applied also for accessory category recognition.
A Provably Convergent Algorithm for Transition-Time Optimization in Switched Systems

This paper concerns a mode-sequencing and switching-time optimization problem defined on autonomous switched-mode hybrid dynamical systems. The design parameter consists of two elements: (i) the sequence of dynamic-response functions associated with the modes, and (ii) the duration of each mode. The sequencing element is a discrete parameter which may render the problem of computing the optimal schedule exponentially complex. Therefore we are not seeking a global minimum, but rather a local solution in a suitable sense. To this end we endow the parameter space with a local continuous structure which allows us to apply gradient-descent techniques. With this structure, the problem is cast in the form of a nonlinear-programming problem defined on a sequence of nested Euclidean spaces with increasing dimensions. We charcterize suboptimality in an appropriate sense, define a corresponding convergence criterion, and devise a provably-convergent optimization algorithm.
Low Bit-Rate Compression of Facial Images

An efficient approach for face compression is introduced. Restricting a family of images to frontal facial mug shots enables us to first geometrically deform a given face into a canonical form in which the same facial features are mapped to the same spatial locations. Next, we break the image into tiles and model each image tile in a compact manner. Modeling the tile content relies on clustering the same tile location at many training images. A tree of vector-quantization dictionaries is constructed per location, and lossy compression is achieved using bit-allocation according to the significance of a tile. Repeating this modeling/coding scheme over several scales, the resulting multiscale algorithm is demonstrated to compress facial images at very low bit rates while keeping high visual qualities, outperforming JPEG-2000 performance significantly.
Automated Synthesis of Divide and Conquer Parallelism

This paper focuses on automated synthesis of divide-and-conquer parallelism, which is a common parallel programming skeleton supported by many cross-platform multithreaded libraries. The challenges of producing (manually or automatically) a correct divide-and-conquer parallel program from a given sequential code are two-fold: (1) assuming that individual worker threads execute a code identical to the sequential code, the programmer has to provide the extra code for dividing the tasks and combining the computation results, and (2) sometimes, the sequential code may not be usable as is, and may need to be modified by the programmer. We address both challenges in this paper. We present an automated synthesis technique for the case where no modifications to the sequential code are required, and we propose an algorithm for modifying the sequential code to make it suitable for parallelization when some modification is necessary. The paper presents theoretical results for when this {\em modification} is efficiently possible, and experimental evaluation of the technique and the quality of the produced parallel programs.
Inducible mouse models illuminate parameters influencing epigenetic inheritance

Environmental factors can stably perturb the epigenome of exposed individuals and even that of their offspring, but the pleiotropic effects of these factors have posed a challenge for understanding the determinants of mitotic or transgenerational inheritance of the epigenetic perturbation. To tackle this problem, we manipulated the epigenetic states of various target genes using a tetracycline-dependent transcription factor. Remarkably, transient manipulation at appropriate times during embryogenesis led to aberrant epigenetic modifications in the ensuing adults regardless of the modification patterns, target gene sequences or locations, and despite lineage-specific epigenetic programming that could reverse the epigenetic perturbation, thus revealing extraordinary malleability of the fetal epigenome, which has implications for ‘metastable epialleles’. However, strong transgenerational inheritance of these perturbations was observed only at transgenes integrated at the Col1a1 locus, where both activating and repressive chromatin modifications were heritable for multiple generations; such a locus is unprecedented. Thus, in our inducible animal models, mitotic inheritance of epigenetic perturbation seems critically dependent on the timing of the perturbation, whereas transgenerational inheritance additionally depends on the location of the perturbation. In contrast, other parameters examined, particularly the chromatin modification pattern and DNA sequence, appear irrelevant.
On the Ergodic Channel Capacity for Indoor Visible Light Communication Systems

Since indoor visible light communication (VLC) modulates the information into the light beams emitted from light-emitting diodes, the channel gain is often modeled as the Lambertian model. For different spatial locations of transmitters and receivers, the channel gain for VLC directly changes with several related geometrical parameters. The distinct geometrical feature makes the ergodic capacity of indoor VLC different from that of radio-frequency communication. However, the issue has not been studied currently. In this paper, we propose the lower bounds on the point-to-point capacity, which have simple expressions with respect to the geometrical parameters. Then, by analyzing indoor human mobility, two typical distributions of the geometrical parameters are considered. Correspondingly, we derive the lower bounds on the ergodic capacity, which are related to the variables of the geometrical feature and the distribution model. Furthermore, simulation results show that our lower bounds on the ergodic capacity are effective to reveal the geometrical feature of indoor VLC systems. Moreover, our proposed lower bounds are tight to the numerical upper bounds at high optical signal-to-noise rates, which are the main application zones of indoor VLC systems.
Interobserver Agreement of ASPECT Score Distribution for Noncontrast CT, CT Angiography, and CT Perfusion in Acute Stroke

Background and Purpose— The Alberta Stroke program early CT score (ASPECTS) is a semiquantative scale for estimating extent and distribution of early ischemic changes within the MCA territory in the acute stroke setting. Good interobserver agreement of total ASPECTS is demonstrated for noncontrast CT (NCCT) and other imaging modalities. Our purpose is to assess interobserver agreement for individual ASPECTS regions for different imaging modalities. Methods— One hundred and eighty-one consecutive patients presenting with acute stroke symptoms within 4.5 hours of onset were included. Four readers assigned total and individual ASPECTS for NCCT, CT angiography source images (CTA-SI), and CTP maps of cerebral blood volume (CTP-CBV). Interobserver agreement was assessed by measuring internal consistency and concordance of total and individual ASPECTS using Cronbach’s &agr; and intraclass correlation coefficient, respectively. Results— Total ASPECTS demonstrated very good concordance and internal consistency for all 3 modalities. Intraclass correlation coefficient and Cronbach’s &agr; were 0.834 and 0.859 for NCCT, 0.876 and 0.894 for CTA, and 0.903 and 0.911 for CTP-CBV, respectively. Performance for individual ASPECTS regions was inferior to total ASPECTS, but incremental improvement in interobserver reliability was demonstrated for NCCT, CTA-SI, and CTP-CBV, respectively. Highest concordance was shown for caudate, lentiform, and M1–M3, whereas performance for internal capsule and M4–M6 was poorer. Conclusions— CTP-CBV demonstrates the highest interobserver agreement for individual ASPECTS regions.
LC-VCO in the 3.3- to 4-GHz Band Implemented in 32-nm Low-Power CMOS Technology

In this brief, a conventional LC voltage-controlled oscillator (LC-VCO) for Global System for Mobile Communications 900 applications is implemented in a 32-nm CMOS technology. The transition to 32-nm technology represents a big step from the technological point of view, mainly due to the introduction of high-κ dielectrics. In spite of the considered ultrascaled technology, the measured performance is aligned with recently published conventional LC-VCOs in the gigahertz range. The robustness of the VCO versus temperature and supply variation is experimentally characterized and analyzed in detail by means of circuit simulations.
Are We Making Progress? - An Analysis of NTCIR QAC1 and 2

This paper tackles issue on comparing evaluation results using multiple QA test collections(NTCIR QAC1 and 2). We identify two features that have moderate correlation with the performance of systems in QAC1 and 2 and evaluate the diculty of the two test collections using the features. Answer categories of questions also affect the performance of systems. The evaluation results suggest that QAC2 seems to be easier than QAC1 in terms of the features, and we are making progress at least for some categories. We make a proposal for the future QAC tasks, as regards to the data needed for evaluation using multiple test collections.
A/r/tographic Collaboration as Radical Relatedness

In this paper the authors examine a/r/tographical collaboration in a community-engaged research study investigating immigrant understandings of home and place. The study, The City of Richgate, involves a complex collaboration between community members, community organizations, educational institutions, and a research team comprising artist-educators. The study crosses border zones of cultural, ethnic, geographic, institutional, public, private, and disciplinary boundaries, reflecting the ever-changing character of postmodern reality. In this paper the authors reflect critically and theoretically on the lived experience of radical relatedness found within the complex collaboration, particularly within the a/r/tographic research team. This offers a qualitative methodology of radical collaboration applicable to many fields of inquiry in the academy, art world, and community.
Aggregating preferences cannot be fair

SOMMARIO/ABSTRACT Preferences typically define a partial ordering over outcomes. A number of formalisms like soft constraints and CP-nets exists to specify such partial or-derings. In situations involving multiple agents, we need to combine the preferences of several individuals. In this paper, we consider each agent as voting on whether they prefer one outcome to another. We prove that, under certain conditions on the kind of partial orders that are allowed to express the preferences of the agents and of the result, if there are at least two agents and three outcomes to order, no preference aggregation system can be fair. That is, no preference aggregation system can be free (give any possible result), monotonic (improving a vote for an outcome only ever helps), independent to irrelevant assumptions (the result between two outcomes only depends on how the agents vote on these two outcomes), and non-dictatorial (there is not one agent who is never contradicted). This result generalizes Ar-row's impossibility theorem for combining total orders [1].
Brand Personality of Products Placed in Television Programs: The Effect of Involvement with the Product and the Program

A Solomon Four Group experimental design was used to test four hypotheses examining the effect of involvement with the product and involvement with the program on perceptions of brand personality, following exposure to a “product used by character” scenario in a popular television soap opera. One specific instance with a specific brand was investigated. The hypotheses were tested using Multiple Analysis of Variance (MANOVA). Results indicated that a used-by-character placement can lead to changes in consumer perceptions of the personality of the brand, with minor adjustments in perceptions of the personality traits of a brand resulting from a single product placement exposure. Results also indicate that this effect is not dependent on a consumer’s level of involvement in the product category. Further, these results were found irrespective of a consumer’s level of involvement in the program itself. This suggests that product placement may be used to facilitate change in perceptions of the personality of a brand across the entire viewing audience, not just those who hold a personal attachment to the program itself.
Blogs and the narrativity of experience

This paper undertakes an analysis of the narrativity of a form of discourse which has appeared recently (blogs) within the framework of an emergentist theory of narrativity and its discursive modes. The narrative/discursive characteristics of blogs emerge from a preexistent ground of more basic or less specific communicative practices; and narrative discursivity itself is an emergent phenomenon with respect to other cognitive and experiential phenomena. A number of formal and communicative characteristics of blog writing and of the blogosphere are discussed as emergent modes of experience within the pragmatic context of computer-mediated communication.
Fundamentals of Methodology Part III: The Meaning of Meaning

This eight-part series of papers presents a selection of semantic, analytic and metaphysical considerations at the heart of methodology. By 'selection' I mean that they are what a structuralist considers to be its salient and necessary tools and principles - not necessarily those that the broader 'community of scholars' finds companionable. The present paper examines paradigmatic approaches to meaning. By that I mean we employ the general (paradigmatic) methodology previously introduced in this series in order to investigate and understand 'meaning'. This will be developed alongside the methodology of Charles Sanders Peirce, with a final discussion specific to the 'meaning of meaning' that incorporates nomenclature introduced by Umberto Eco. A provisional and then a penultimate definition will be offered for 'meaning'. A 'Concluding Unscientific Postscript' notes the relevance of meaning to the use and abuse of classical methods in logic.
Contemporary Nursing Knowledge: Analysis and Evaluation of Nursing Models and Theories

Preface Structure and Use of Nursing Knowledge1.The Structure of Contemporary Nursing Knowledge Implementing Nursing Models and Theories in Practice Analysis and Evaluation of Conceptual Models of Nursing Framework for Analysis and Evaluation of Nursing Models Johnson's Behavioral System Model King's General Systems Framework Levine's Conservation Model Neuman's Systems Model Orem's Self-Care Framework Rogers' Science of Unitary Human Beings Roy's Adaptation Model Analysis and Evaluation of Nursing Theories Framework for Analysis and Evaluation of Nursing Theories Newman's Theory of Health as Expanding Consciousness Parse's Theory of Human Becoming Orlando's Theory of the Deliberative Nursing Process Peplau's Theory of Interpersonal Relations Watson's Theory of Human Caring Nursing Knowledge in the 21st Century Integrating Nursing Models, Theories, Research, and Practice.
Effects of cholesterol concentration on the interaction of cytarabine with lipid membranes: a molecular dynamics simulation study

Liposomal cytarabine, DepoCyt, is a chemotherapy agent which is used in cancer treatment. This form of cytarabine has more efficacy and fewer side effects relative to the other forms. Since DepoCyt contains the cytarabine encapsulated within phosphatidylcholine and the sterol molecules, we modeled dioleoylphosphatidylcholine (DOPC)/cholesterol bilayer membrane as a carrier for cytarabine to study drug–bilayer interactions. For this purpose, we performed a series of united-atom molecular dynamics (MD) simulations for 25 ns to investigate the interactions between cytarabine and cholesterol-containing DOPC lipid bilayers. Only the uncharged form of cytarabine molecule was investigated. In this study, different levels of the cholesterol content (0, 20, and 40%) were used. MD simulations allowed us to determine dynamical and structural properties of the bilayer membrane and to estimate the preferred location and orientation of the cytarabine molecule inside the bilayer membrane. Properties such as membrane thickness, area per lipid, diffusion coefficient, mass density, bilayer packing, order parameters, and intermolecular interactions were examined. The results show that by increasing the cholesterol concentration in the lipid bilayers, the bilayer thickness increases and area per lipid decreases. Moreover, in accordance with the experiments, our calculations show that cholesterol molecules have ordering effect on the hydrocarbon acyl chains. Furthermore, the cytarabine molecule preferentially occupies the polar region of the lipid head groups to form specific interactions (hydrogen bonds). Our results fully support the experimental data. Our finding about drug–bilayer interaction is crucial for the liposomal drug design.
HNdb: an integrated database of gene and protein information on head and neck squamous cell carcinoma

The total amount of scientific literature has grown rapidly in recent years. Specifically, there are several million citations in the field of cancer. This makes it difficult, if not impossible, to manually retrieve relevant information on the mechanisms that govern tumor behavior or the neoplastic process. Furthermore, cancer is a complex disease or, more accurately, a set of diseases. The heterogeneity that permeates many tumors is particularly evident in head and neck (HN) cancer, one of the most common types of cancer worldwide. In this study, we present HNdb, a free database that aims to provide a unified and comprehensive resource of information on genes and proteins involved in HN squamous cell carcinoma, covering data on genomics, transcriptomics, proteomics, literature citations and also cross-references of external databases. Different literature searches of MEDLINE abstracts were performed using specific Medical Subject Headings (MeSH terms) for oral, oropharyngeal, hypopharyngeal and laryngeal squamous cell carcinomas. A curated gene-to-publication assignment yielded a total of 1370 genes related to HN cancer. The diversity of results allowed identifying novel and mostly unexplored gene associations, revealing, for example, that processes linked to response to steroid hormone stimulus are significantly enriched in genes related to HN carcinomas. Thus, our database expands the possibilities for gene networks investigation, providing potential hypothesis to be tested. Database URL: http://www.gencapo. famerp.br/hndb
Simultaneous optimization of battery-aware voltage regulator scheduling with dynamic voltage and frequency scaling

Energy-aware task scheduling significantly reduces the total energy required by a system to perform a particular job, by dynamically changing the clock frequency and supply voltage at which the CPU operates. But this causes significant fluctuation of the current drawn from the power source, so that no single voltage regulator can achieve satisfactory efficiency over the entire range of operating currents. We introduce a new method of high-level power management called dynamic voltage regulator scheduling (DRS), which overcomes the fundamental limitation of using a single voltage regulator. In a system equipped with DRS, heterogeneous voltage regulators are connected to a CPU through a multiplexer-type MOSFET switch. As the operating frequency and the supply voltage of the CPU vary, the most efficient voltage regulator is used to supply the power. We first describe a greedy method of achieving DRS, and then we progress to an integer linear programming (ILP) formulation, which simultaneously optimizes DRS together with dynamic voltage and frequency scaling (DVFS). We evaluate the performance of both greedy DRS and optimal DRS. Compared to conventional DVFS, greedy DRS saves an additional 5.4% to 14.6% of the total system energy; and optimal DRS saves an additional 11.5% to 15.5%.
Morpho-physiolological and qualitative traits of a bread wheat collection spanning a century of breeding in Italy

Abstract Evaluation and characterization are crucial steps in the exploitation of germplasm collections. The Sant’Angelo Lodigiano unit of the Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) maintains a broad collection of Triticum spp, including more than 4000 genotypes of T. aestivum. Such collection represents a wide source of genetic variability for many agronomic and qualitative traits, extremely useful in modern breeding programs. The collection size, however, makes very difficult its management as a whole. A reduced subset, representing the process of wheat breeding in Italy during the last hundred years, was hence identified for an in-depth characterization. The lines were cropped in two locations over two growing seasons, and analyzed using 16 morpho-agronomic and qualitative descriptors. Most of the analysed characters showed a broad variation throughout the collection, allowing to follow the plant ideotype changes across the breeding progress in Italy during the 20th century.