Miracle-dz/UniFAR-FTUs huggingface dataset:
Amnesia: its detection by psychophysiological measures.

Introduction The term amnesia encompasses many varied examples and causes of memory loss. In an edited text on amnesia, Whitty and Zangwill explore the subject in terms of cerebral disease, trauma, electroconvulsive therapy and psychogenesis. 1 It becomes obvious from the various causative factors involved in amnesia that such a multi-factorial problem requires an eclectic approach in answering. At present, one area being investigated in some detail is alcohoVdrug-induced memory loss. The focus of the present study is the exploration of memory dysfunction resulting from alcohoVdrug abuse. In any discussion of alcohoVdrug-induced amnesia certain features of the dysfunction become important for consideration. Before the amnesia can be examined it must be determined to be either a legitimate loss or a feigned amnesia state. The basis of feigned versus genuine amnesia rests with an individual's biological and psychological resources. Expediency suggests that genuine amnesia tends toward an organic base and feigned toward a psychogenic base. That is to say, the probability of a genuine amnesia is greatly increased when found in concert with organicity. Likewise, feigned memory loss is more likely to be found in individuals suffering from a psychogenic disorder. In addition to the issue of genuine versus feigned amnesia, the type of memory loss is important in any clinical assessment of the disorder. The present study utilizes a clinical breakdown of amnesia type in accordance with characteristics outlined by Bradford and Smith. 2 The amnesia states are discussed in relation to the following category types: (A) hazy amnesia: no absolute amnesia either in circumscribed periods or in one complete period; (B) partial (patchy) amnesia: segments of memory loss with no complete period of amnesia; (C) complete amnesia: total
Apoptotic cell: linkage of inflammation and wound healing

We consider that from the wound to the healing process, the physiology point key to linkage of the process is still unclear. The process from inflammation to the wound healing is divided into three phases: (1) inflammation process, (2) tissue formation, and (3) tissue remodeling. The inflammation program includes cell produced related factors and immune cells infiltration. We thought the inflammation factors that may be also involved in the followed healing process. But the question is “what kind of factor is the major key involved in the end of the inflammation then to initiate the healing. ” We suspect that the apoptosis of immune cell may be the major key to end of inflammation and to initiate the healing.
Clinicopathological Characteristics and Outcomes of Chinese Patients with Scanty Immune Deposits Lupus Nephritis: A Large Cohort Study from a Single Center

Objective. To assess clinicopathological characteristics of lupus nephritis patients with scanty immune deposits. Methods. The data of patients with scanty immune deposits lupus nephritis were retrospectively analyzed. Plasma ANCA and complement components were detected. Results. Among 316 cases with renal biopsy-proven lupus nephritis, 40 cases were diagnosed as scanty immune deposits. There were significantly higher value of serum creatinine (P = 0.002) and lower hemoglobin level (P = 0.009) and higher score of cellular crescents (P = 0.015) in scanty immune deposits group compared with immune complex deposits group. The frequency of positive plasma ANCA was significantly higher in scanty immune deposits group than that in immune complex deposits group (52.5% versus 10.1%, P < 0.001). As for comparisons of plasma complement components, there were significantly higher levels of C1q (P = 0.005) and Bb (P = 0.02) and lower level of factor H (P = 0.003) in scanty immune deposits group. The ratio of treatment failure was significantly higher in scanty immune deposits group than that in immune deposits group (42.5% versus 19.20%, P = 0.001). The renal outcomes were similar between the two groups. Conclusions. Patients with scanty immune deposits lupus nephritis had more severe kidney damage. ANCA and activation of complement alternative pathway might be involved in the pathogenesis of the disease.
An Empirical Evaluation of Sequence-Tagging Trainers

The task of assigning label sequences to a set of observed sequences is common in computational linguistics. Several models for sequence labeling have been proposed over the last few years. Here, we focus on discriminative models for sequence labeling. Many batch and online (updating model parameters after visiting each example) learning algorithms have been proposed in the literature. On large datasets, online algorithms are preferred as batch learning methods are slow. These online algorithms were designed to solve either a primal or a dual problem. However, there has been no systematic comparison of these algorithms in terms of their speed, generalization performance (accuracy/likelihood) and their ability to achieve steady state generalization performance fast. With this aim, we compare different algorithms and make recommendations, useful for a practitioner. We conclude that the selection of an algorithm for sequence labeling depends on the evaluation criterion used and its implementation simplicity.
Efficient Bayesian Network Learning for System Optimization in Reliability Engineering

Abstract We present a new Bayesian network modeling that learns the behavior of an unknown system from real data and can be used for reliability engineering and optimization processes in industrial systems. The suggested approach relies on quantitative criteria for addressing the trade-off between the complexity of a learned model and its prediction accuracy. These criteria are based on measures from Information Theory as they predetermine both the accuracy as well as the complexity of the model. We illustrate the proposed method by a classical example of system reliability engineering. Using computer experiments, we show how in a targeted Bayesian network learning, a tremendous reduction in the model complexity can be accomplished, while maintaining most of the essential information for optimizing the system.
Turn, Turn, Turn: Perceiving Global and Local, Clockwise and Counterclockwise Rotations

We developed a series of dynamic geometric Navon figures in order to study global/local rotation processing. These figures consist of a global figure (a triangle or a square) made up of local figures (also triangles or squares). Both global and local figures can rotate in either clockwise or counterclockwise directions independently. We found that there is no right or left visual field perceptual advantage for either the global or local levels of these figures, as in Sergent (1982). We did, however, find a significant processing advantage for clockwise motion compared to counterclockwise motion. We also found a highly significant interaction between the detection of a particular rotational motion and the presence or absence of that motion in the figure being examined. Our data also strongly support the Global Precedence Hypothesis which says that people generally tend to focus on the global properties of an object before local properties.
Judicial Quality and the Supreme Court Nominating Process

In recent months, presidential appointments to the Supreme Court have become an increasingly salient issue with both the public and the press. The relevance of the topic makes it an inviting subject for political science research. When looking at the question of judicial quality, the problem that researchers have faced in the past is one of quantifying quality. This work seeks to expand on previous survey research done on the quality of individual justices. By using quality scores (Comiskey 2004) as a dependent variable, it is possible to analyze influences on the President’s nomination choice and their relative impacts on the quality of justices. By using a more rigorous approach, this study can more confidently make assertions about the nature of the nomination and confirmation process and the quality of Supreme Court justices.
A Review on Methods of Risk Adjustment and their Use in Integrated Healthcare Systems

Introduction: Effective risk adjustment is an aspect that is more and more given weight on the background of competitive health insurance systems and vital healthcare systems. The objective of this review was to obtain an overview of existing models of risk adjustment as well as on crucial weights in risk adjustment. Moreover, the predictive performance of selected methods in international healthcare systems should be analysed. Theory and methods: A comprehensive, systematic literature review on methods of risk adjustment was conducted in terms of an encompassing, interdisciplinary examination of the related disciplines. Results: In general, several distinctions can be made: in terms of risk horizons, in terms of risk factors or in terms of the combination of indicators included. Within these, another differentiation by three levels seems reasonable: methods based on mortality risks, methods based on morbidity risks as well as those based on information on (self-reported) health status. Conclusions and discussion: After the final examination of different methods of risk adjustment it was shown that the methodology used to adjust risks varies. The models differ greatly in terms of their included morbidity indicators. The findings of this review can be used in the evaluation of integrated healthcare delivery systems and can be integrated into quality- and patient-oriented reimbursement of care providers in the design of healthcare contracts.
SIGMA 0 BLOOMS IN THE ENVISAT RADAR ALTIMETER DATA

Data from satellite altimeters are often degraded by the occurrence of unrealistically high values of the ocean surface radar backscatter cross sections (sigma-0). Various studies on Topex and Jason-1 altimeters data have shown that these events called “sigma-0 blooms” affect almost 6% of the over ocean measurements. On Topex data, sigma-0 blooms have been observed and analysed by Mitchum which has shown that they occur most of the time, but perhaps not always, in regions of climatologically weak winds. Surface slicks could also be the cause of sigma-0 blooms. In any case, contamination of altimeter data by “sigma-0 blooms” is an important issue if we consider that only 60% of the sigma-0 bloom events seem to be rejected by classical altimeter data flagging. This paper gives a comprehensive description of the blooms occurrence (where, when and how long) which is important because many people of the community that make use of the altimetric data are generally unaware of this phenomenon. Statistical characteristics of sigma bloom events are presented using 1-Hz data as well as 20Hz data. Analysis is done for many cycles of Envisat data distributed along the year and also on local and limited data sets. Moreover, we show how waveforms are corrupted and we propose a criterion (such as the Mean Quadratic Error between the echo and the estimated waveform, or such as the sigma0 value or such as the estimated mispointing angle) to characterize its occurrences. The analysis is performed on Ku-band data but relation with S-band data is also considered as it has been proposed by Tournadre looking at Jason-1 data. Spatial and temporal correlations with geophysical parameters (wind, waves .) are highlighted. Besides the precise characterisation of the blooms, one of the major interests of the study concerns the estimation of the errors induced by these events on the estimated range and sigma0 (wind) parameters.
ANATOMY: an analytical model of memory system performance

Memory system design is increasingly influencing modern multi-core architectures from both performance and power perspectives. However predicting the performance of memory systems is complex, compounded by the myriad design choices and parameters along multiple dimensions, namely (i) technology, (ii) design and (iii) architectural choices. In this work, we construct an analytical model of the memory system to comprehend this diverse space and to study the impact of memory system parameters from latency and bandwidth perspectives. Our model, called ANATOMY, consists of two key components that are coupled with each other, to model the memory system accurately. The first component is a queuing model of memory which models in detail various design choices and captures the impact of technological choices in memory systems. The second component is an analytical model to summarize key workload characteristics, namely row buffer hit rate (RBH), bank-level parallelism (BLP), and request spread (S) which are used as inputs to the queuing model to estimate memory performance. We validate the model across a wide variety of memory configurations on 4, 8 and 16 cores using a total of 44 workloads. ANATOMY is able to predict memory latency with an average error of 8.1%, 4.1% and 9.7% over 4, 8 and 16 core configurations. We demonstrate the extensibility and applicability of our model by exploring a variety of memory design choices such as the impact of clock speed, benefit of multiple memory controllers, the role of banks and channel width, and so on. We also demonstrate ANATOMY's ability to capture architectural elements such as scheduling mechanisms (using FR_FCFS and PAR_BS) and impact of DRAM refresh cycles. In all of these studies, ANATOMY provides insight into sources of memory performance bottlenecks and is able to quantitatively predict the benefit of redressing them.
Distributed coordination based on temporal planning for tactical aircraft simulation

This paper deals with the modeling of agents plans thanks to hybrid automata which support the evolution of time and resources. The main advantage of the formalism we chose is the control and the validation of both individual and multi-agent plans. The paper presents significant operators e.g. merging, reallocation, etc.) to manage the multi-agent plans and to avoid replanning the multi-agent plan from scratch.
Major Superficial White Matter Abnormalities in Huntington's Disease

Background: The late myelinating superficial white matter at the juncture of the cortical gray and white matter comprising the intracortical myelin and short-range association fibers has not received attention in Huntington's disease. It is an area of the brain that is late myelinating and is sensitive to both normal aging and neurodegenerative disease effects. Therefore, it may be sensitive to Huntington's disease processes. Methods: Structural MRI data from 25 Pre-symptomatic subjects, 24 Huntington's disease patients and 49 healthy controls was run through a cortical pattern-matching program. The surface corresponding to the white matter directly below the cortical gray matter was then extracted. Individual subject's Diffusion Tensor Imaging (DTI) data was aligned to their structural MRI data. Diffusivity values along the white matter surface were then sampled at each vertex point. DTI measures with high spatial resolution across the superficial white matter surface were then analyzed with the General Linear Model to test for the effects of disease. Results: There was an overall increase in the axial and radial diffusivity across much of the superficial white matter (p < 0.001) in Pre-symptomatic subjects compared to controls. In Huntington's disease patients increased diffusivity covered essentially the whole brain (p < 0.001). Changes are correlated with genotype (CAG repeat number) and disease burden (p < 0.001). Conclusions: This study showed broad abnormalities in superficial white matter even before symptoms are present in Huntington's disease. Since, the superficial white matter has a unique microstructure and function these abnormalities suggest it plays an important role in the disease.
Stability and Dynamics of Polycomb Target Sites in Drosophila Development

Polycomb-group (PcG) and Trithorax-group proteins together form a maintenance machinery that is responsible for stable heritable states of gene activity. While the best-studied target genes are the Hox genes of the Antennapedia and Bithorax complexes, a large number of key developmental genes are also Polycomb (Pc) targets, indicating a widespread role for this maintenance machinery in cell fate determination. We have studied the linkage between the binding of PcG proteins and the developmental regulation of gene expression using whole-genome mapping to identify sites bound by the PcG proteins, Pc and Pleiohomeotic (Pho), in the Drosophila embryo and in a more restricted tissue, the imaginal discs of the third thoracic segment. Our data provide support for the idea that Pho is a general component of the maintenance machinery, since the majority of Pc targets are also associated with Pho binding. We find, in general, considerable developmental stability of Pc and Pho binding at target genes and observe that Pc/Pho binding can be associated with both expressed and inactive genes. In particular, at the Hox complexes, both active and inactive genes have significant Pc and Pho binding. However, in comparison to inactive genes, the active Hox genes show reduced and altered binding profiles. During development, Pc target genes are not simply constantly associated with Pc/Pho binding, and we identify sets of genes with clear differential binding between embryo and imaginal disc. Using existing datasets, we show that for specific fate-determining genes of the haemocyte lineage, the active state is characterised by lack of Pc binding. Overall, our analysis suggests a dynamic relationship between Pc/Pho binding and gene transcription. Pc/Pho binding does not preclude transcription, but levels of Pc/Pho binding change during development, and loss of Pc/Pho binding can be associated with both stable gene activity and inactivity.
Transcriptomal profiling of bovine ovarian granulosa and theca interna cells in primary culture in comparison with their in vivo counterparts

In vitro culture of ovarian granulosa cells and theca cells has been very important for our understanding of their function and regulation. One of the most eagerly sought attributes of cell culture is the use of chemically-defined conditions. However, even under such in vitro conditions cell behaviour could differ from the in vivo situation because of differences in oxygen tension, nutrients, adhesion matrix and other factors. To examine this further we compared the transcriptomes of both granulosa cells and cells from the theca interna that were cultured in what are arguably the best in vitro conditions for maintaining the ‘follicular’ phenotypes of both tissue types, as displayed by their respective freshly-isolated counterparts. The array data analysed are from recently published data and use the same sizes of bovine follicles (small antral 3–6 mm) and the same Affymetrix arrays. We conducted analysis using Partek, Ingenuity Pathway Analysis and GOEAST. Principal Component Analysis (PCA) and hierarchical clustering clearly separated the in vivo from the in vitro groups for both cells types and transcriptomes were more homogeneous upon culture. In both cell cultures behaviours associated with cell adhesion, migration and interaction with matrix or substrate were more abundant. However, the pathways involved generally differed between the two cell types. With the thecal cultures a gene expression signature of an immune response was more abundant, probably by leukocytes amongst the cells cultured from the theca interna. These results indicate differences between in vivo and in vitro that should be considered when interpreting in vitro data.
A glimpse into the pathophysiology, mechanisms, and management of neuropathic pain

Department of Phytopharmaceuticals (Traditional Pharmacy), School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran. Medicinal Plants Processing Research Centre, Shiraz University of Medical Sciences, Shiraz, Iran. Department of Neurology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran. Department of Pharmacognosy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Attention to Fairness versus Profits: The Determinants of Satisficing Pricing

We investigate determinants of the competitive behaviour of satisficing, non-profit-maximizing pricing. Taking a behavioural approach, we argue that pricing decisions are motivated by fairness objectives as well as the desire to achieve economic objectives. We draw from the attention-based view to build our theoretical model explaining the contextual conditions that are most likely to be associated with attention to fairness relative to attention to achieving maximum profits when setting prices. Our hypothesized predictors of satisficing pricing decisions encompass the institutional context in which the firm is embedded, the exchange context with customers and suppliers, and the context internal to the firm. Hypotheses are tested with survey data of over 3000 firms from 15 countries. We find that the decision to set prices at a satisficing level is remarkably common, and its prevalence is associated with contextual factors that are consistent with greater attention to fairness concerns.
Mobility and Security

We discuss the computational aspects of wide area networks, and we describe various facets of a process calculus devised to embody mobility, security, and wide area network semantics. These lecture notes are an abridged version of [8, 11, 27, 12, 13]. Part I: Wide Area Computation
Associations Among Adolescents’ Cyber-Specific Beliefs and Information Management Strategies

The current study investigated associations among adolescents’ reports of harmfulness and family decision-making beliefs regarding potentially problematic cyber behaviors (e.g., talking to strangers online), cyber-specific information management strategies (disclosure, secrecy, concealment), and family rules regarding adolescents’ use of information and communication technology (ICT). The sample consisted of 159 adolescents aged 12 to 18 years (M = 14.45, SD = 1.72, 59% female, 80% Caucasian). Youth were more likely to disclose their ICT behavior when they recognized the harm associated with cyber risks and viewed their family as less restrictive about ICT activities. Age differences indicated that older adolescents’ ICT beliefs were more strongly related to their information management strategies, whereas families’ ICT rules were more predictive of cyber disclosure for younger adolescents. Results demonstrate that both adolescents’ conceptualization of ICT risks and families’ ICT-specific rules contribute to adolescents’ choice of information management strategies regarding ICT behaviors.