Miracle-dz/UniFAR-FTUs huggingface dataset:
On Permutor Design for Woven Convolutional Codes with Outer Warp

In a punching processing method, a punch chip having a roller shape is arranged in a punch chip holder rotatable around the vertical axis and can be rotated around the horizontal axis. A die chip having a roller shape is arranged in a die chip holder rotatable around the vertical axis and can be rotated around the horizontal axis. Punching processing of a work is performed, in cooperation with the punch chip and the die chip, by moving the work in the horizontal direction in a state in which the work is held between the punch chip and the die chip. Further, a roll forming die used in this punching processing method is also proposed. Accordingly, it is possible to perform various kinds of punching processings for a short time without causing any seam and easily perform processings of a circle and a curve in addition to processing of only a straight line.
Random Data Accesses on a Coarse-Grained Parallel Machine I: One-to-One Mappings

This paper describes deterministic communication-efficient algorithms for performing dynamic permutations on a coarse-grained parallel machine. Our analysis shows that the general permutation operation can be completed inC? n/p(+ lower order terms) time and is optimal and scalable providedn? p3+p2? /? (nis the size of the permutation or the number of elements distributed across thepprocessors, ? is the start-up overhead, and 1/? is the data transfer rate). Cis a small constant typically between 2 and 3 for write permutations, slightly higher for read permutations. Modifications to exploit locality of access are presented. Special classes of permutations that are optimal for smaller sizes are also described. A companion paper 22] deals with the problem of random data accesses with hot spots.
Cyborg psychiatry to ensure agency and autonomy in mental disorders. A proposal for neuromodulation therapeutics

Neuromodulation therapeutics—as repeated Transcranial Magnetic Stimulation (rTMS) and neurofeedback—are valuable tools for psychiatry. Nevertheless, they currently face some limitations: rTMS has confounding effects on neural activation patterns, and neurofeedback fails to change neural dynamics in some cases. Here we propose how coupling rTMS and neurofeedback can tackle both issues by adapting neural activations during rTMS and actively guiding individuals during neurofeedback. An algorithmic challenge then consists in designing the proper recording, processing, feedback, and control of unwanted effects. But this new neuromodulation technique also poses an ethical challenge: ensuring treatment occurs within a biopsychosocial model of medicine, while considering both the interaction between the patients and the psychiatrist, and the maintenance of individuals' autonomy. Our solution is the concept of Cyborg psychiatry, which embodies the technique and includes a self-engaged interaction between patients and the neuromodulation device.
Spousal suffering and partner's depression and cardiovascular disease: the Cardiovascular Health Study.

OBJECTIVES To assess the effects of suffering in a spouse on prevalent and incident psychiatric (depression) and physical morbidity (cardiovascular disease [CVD]) in their partner, controlling for known risk factors for depression and CVD. DESIGN Descriptive longitudinal study. PARTICIPANTS A total of 1,330 older married couples enrolled in the Cardiovascular Health Study, a large epidemiologic study of the elderly. MEASUREMENTS Predictor variables were physical, psychological, and existential/spiritual indicators of suffering. Primary outcomes were prevalent and incident depression and CVD. RESULTS Controlling for known risk factors for depression, the authors found a dose-response relationship between suffering in a spouse and concurrent depression in their partner as well as a relationship between suffering and the partner's future risk for depression. With respect to CVD, and controlling for subclinical CVD at baseline, husbands whose wives reported high levels of suffering also had higher rates of prevalent CVD, but there were no significant associations between wives suffering and husbands incident CVD. There were no associations between husbands' suffering and wives' prevalent or incident CVD. CONCLUSION Exposure to spousal suffering is an independent and unique source of distress in married couples that contributes to psychiatric and physical morbidity. More attention should be paid to the interpersonal effects of suffering in married couples and to its role in contributing to morbidity.
Low Complexity Multiple Concatenated Turbo Codes

Original turbo codes are series or parallel combination of component codes (C. Berrou and A. Glavieure, 1996) (W. Graham, 2004). We present a new multiple concatenated turbo code construction comprising both series and parallel concatenations. Proper partitioning of message bits and the use of double binary rate 2/3 convolutional code reduces the complexity of decoder further. Simulation results demonstrate that the proposed code achieves good performance. The proposed code is easily adaptable to a large range of data block sizes.
APPLICATION OF SATELLITE OPTICAL AND SAR IMAGES FOR CROP MAPPING AND EREA ESTIMATION IN UKRAINE

Crop area estimation is a key element in crop production forecasting and estimation. Satellite imagery can provide valuable information for stratification purposes and can be used as a source of proxy variables for a- posteriori correction of area estimates. In this regard, efficiency of crop area estimation using satellite imagery depends on the accuracy of crop classification. In this paper, we apply optical and SAR satellite imagery for discriminating major crop types in Ukraine. First, we compare efficiency of several optical image types (MODIS, Landsat TM, AWiFS, LISS-III and RapidEye) combined with a field survey on a stratified sample of square segments. Additionally, field data were collected "along the road" as training data for image classification algorithms. The results show particular difficulties in discriminating summer crops in Ukraine such as maize, soy beans, sunflower, sugar beet, using only optical satellite images. Therefore, we incorporate satellite SAR images (RADARSAT-2 quad-polarization) in order to improve discrimination between summer crops. Obtained results show that omission and commission classification errors can be reduced by adding radar imagery to optical ones.
An Operating System for Safety-Critical Applications on Manycore Processors

Processor technology is advancing from bus-based multicores to network-on-chip-based many cores, posing new challenges for operating system design. In this paper, we discuss why future safety-critical systems can profit from such new architectures. To make the potentials of many core processors usable in safety-critical systems, we devise the operating system MOSSCA that is adapted to the special requirements prevailing in this domain. MOSSCA introduces abstractions that support an application developer in his work of writing safety-critical applications. Internally, MOSSCA runs in a distributed manner to achieve a high parallelism while still guaranteeing a predictable behaviour.
A switching fusion filter for dim point target tracking in infra-red video sequences

Motion and depth perceptions allow, to the human visual system, of interpreting the object movements by surrounding environmental information processing. The cognitive science applied to computer vision field can be considered an important innovation in order to increase the detection and tracking performances. These tasks play a fundamental role for detecting and tracking of dim moving point targets in Infra-Red (IR) images, which are characterized by low levels of SNR. In such cases, by means of the paradigm of Track-Before-Detect (TBD) based detection algorithm, it is possible to distinguish the target from image background. This paper presents an innovative TBD based approach relies on interacting multiple target models, which is called Fusion Filters (FFs), for far objects in IR sequences. Specifically, through two different Kalman filters it is possible to estimate separately position and dimension of the target. By means of switching probabilistic models, the proposed framework infers on the different target motion percepts. Such a process permits to obtain the global state of the object by merging position with size estimates. The experimental results on real and simulated sequences demonstrate the effectiveness of the proposed approach.
Cortical Amyloid Beta in Cognitively Normal Elderly Adults is Associated with Decreased Network Efficiency within the Cerebro-Cerebellar System

Background: Deposition of cortical amyloid beta (Aβ) is a correlate of aging and a risk factor for Alzheimer disease (AD). While several higher order cognitive processes involve functional interactions between cortex and cerebellum, this study aims to investigate effects of cortical Aβ deposition on coupling within the cerebro-cerebellar system. Methods: We included 15 healthy elderly subjects with normal cognitive performance as assessed by neuropsychological testing. Cortical Aβ was quantified using (11)carbon-labeled Pittsburgh compound B positron-emission-tomography late frame signals. Volumes of brain structures were assessed by applying an automated parcelation algorithm to three dimensional magnetization-prepared rapid gradient-echo T1-weighted images. Basal functional network activity within the cerebro-cerebellar system was assessed using blood-oxygen-level dependent resting state functional magnetic resonance imaging at the high field strength of 7 T for measuring coupling between cerebellar seeds and cerebral gray matter. A bivariate regression approach was applied for identification of brain regions with significant effects of individual cortical Aβ load on coupling. Results: Consistent with earlier reports, a significant degree of positive and negative coupling could be observed between cerebellar seeds and cerebral voxels. Significant positive effects of cortical Aβ load on cerebro-cerebellar coupling resulted for cerebral brain regions located in inferior temporal lobe, prefrontal cortex, hippocampus, parahippocampal gyrus, and thalamus. Conclusion: Our findings indicate that brain amyloidosis in cognitively normal elderly subjects is associated with decreased network efficiency within the cerebro-cerebellar system. While the identified cerebral regions are consistent with established patterns of increased sensitivity for Aβ-associated neurodegeneration, additional studies are needed to elucidate the relationship between dysfunction of the cerebro-cerebellar system and risk for AD.
A SVM based method for active relevance feedback

In vector space models, traditional relevance feedback techniques, which utilize the terms in the relevant documents to enrich the user's initial query, is an effective method to improve retrieval performance. However, in this process, it also brings some non-relevance terms in the relevant documents in the new query. The number of non-relevance terms will increase according to the repeat of feedback process; it will damage the retrieval performance finally. This paper introduces a SVM Based method for relevance feedback. We train a classifier on the feedback documents and classify the rest of the documents. Thus, in the result list, the relevant documents are in front of the non-relevant documents. The new approach avoids modifying the query via text classification algorithm in the relevance feedback process, and it is a new direction for the relevance feedback techniques. Experiments with TREC dataset demonstrate the effectiveness of this method.
Multicores in Cloud Computing: Research Challenges for Applications

With modern techniques that allow billions of transistors on a chip, microprocessor design is going to a world of multicore. A cluster of multicores will be commonly used as an efficient computational platform for high performance computing in the near future. Correspondingly, the resource providers, who share their computing elements and storage with customers, will also upgrade their machines to the multicore architecture. At the same time, the dominating resource sharing platforms, in the form of compute Grids, are facing a grand challenge from Cloud computing. With an easy interface, high-level services, and on-demand provision of compute resources, compute Clouds are attracting more users to join their realm. Upcoming Cloud environments will be primarily built on top of multicore technologies. However, to fully exploit the computational capacity and the other advantages of multicores, a lot of novel techniques must be proposed and investigated. This paper serves as an overview for multicore technologies in the context of Cloud computing. This paper firstly introduces multicore technologies and the Cloud computing concept. Then it investigates various open research issues in the context of multicore Cloud computing, for example, how to efficiently employ multicore techniques for Cloud computing, how to achieve the high performance of multicore for high performance applications in the Cloud environments. Several examples and discussion are presented.
User behavior oriented web spam detection

Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spam and are incapable and inefficient for recently-appeared spam. With user behavior analyses into Web access logs, we propose a spam page detection algorithm based on Bayes learning. Preliminary experiments on Web access data collected by a commercial Web site (containing over 2.74 billion user clicks in 2 months) show the effectiveness of the proposed detection framework and algorithm.
From Social Psychology to Cultural Psychology: The Redemption of Personality

This paper is about the relation between personality and society regarding the contrast between Eastern and Western cultures. I first explain the psychological bases for individual differences in general. I then turn to Western individualism, especially in Germany. The historical roots of individualization are discussed in reference to philosophers of life and psychoanalysts. For these thinkers the focus is on sexual life as the pivot of personal identity. Ancestor worship, on the other hand, is the Chinese way (dao) to humanity (ren). Consequently, European individualism and egalitarianism on the level of globalization are found to be the mirror opposite of the call to hierarchy and harmony (he) in Chinese communitarian society. In the outlook that follows, I propose a new synthesis of the two different patterns of culture. Cultural psychology, as I understand it, occupies an intermediate position between individual psychology and social psychology, saving personality from being nivellized by global consumerism.
Fast Mixing in a Markov Chain

The critical issue in the complexity of Markov chain sampling techniques has been “mixing time”, the number of steps of the chain needed to reach its stationary distribution. It turns out that there are many ways to define mixing time—more than a dozen are considered here— but they fall into a small number of classes. The parameters in each class lie within constant multiples of one another, independent of the chain.
Starspot Imaging with the CHARA Array

We present six H band interferometric images of cool starspots on the chromospherically active giant Lambda Andromedae. Images span ∼75% of the rotational period with a cadence of ∼1 week. The data were obtained using all six telescopes in the CHARA array with the MIRC beam combiner. Model solutions show cool starspots evenly distributed in longitude. The starspots have an average covering factor of 9.6% with a Tsp Te f f = 0.94. We obtained consistent results between model solutions and MACIM reconstructions. The results of simulations testing model fidelity based on u,v sampling are presented. In addition, we present evidence interferometrically measured diameters are insensitive to cool starspot presence at an ∼2.5% confidence level.
How Do We Update Faces? Effects of Gaze Direction and Facial Expressions on Working Memory Updating

The aim of the study was to investigate how the biological binding between different facial dimensions, and their social and communicative relevance, may impact updating processes in working memory (WM). We focused on WM updating because it plays a key role in ongoing processing. Gaze direction and facial expression are crucial and changeable components of face processing. Direct gaze enhances the processing of approach-oriented facial emotional expressions (e.g., joy), while averted gaze enhances the processing of avoidance-oriented facial emotional expressions (e.g., fear). Thus, the way in which these two facial dimensions are combined communicates to the observer important behavioral and social information. Updating of these two facial dimensions and their bindings has not been investigated before, despite the fact that they provide a piece of social information essential for building and maintaining an internal ongoing representation of our social environment. In Experiment 1 we created a task in which the binding between gaze direction and facial expression was manipulated: high binding conditions (e.g., joy-direct gaze) were compared to low binding conditions (e.g., joy-averted gaze). Participants had to study and update continuously a number of faces, displaying different bindings between the two dimensions. In Experiment 2 we tested whether updating was affected by the social and communicative value of the facial dimension binding; to this end, we manipulated bindings between eye and hair color, two less communicative facial dimensions. Two new results emerged. First, faster response times were found in updating combinations of facial dimensions highly bound together. Second, our data showed that the ease of the ongoing updating processing varied depending on the communicative meaning of the binding that had to be updated. The results are discussed with reference to the role of WM updating in social cognition and appraisal processes.
Aggression in Boys and Girls as Related to Their Academic Achievement and Residential Background

The study was conducted to explore aggression in boys and girls as related to their academic achievement and residential background in Bangladesh. Stratified random sampling technique was used and total 80 respondents constituted the sample of the study. They were equally divided into boys and girls. Each group was again equally divided into high and low grade. Each subgroup was again equally divided into urban and rural residential background. Thus the study used a 2 × 2 × 2 factorial design consisting of two levels of gender (boy/girl), two levels of academic achievement (high grade/low grade) and two levels of residential background (urban/rural). The Bengali version of measure of aggressive behavior (Rahman, A. K. M. R., 2003) originally developed by Buss and Perry (1992) was used for the collection of data. It was found that regardless of gender, boys expressed more aggression than girls. Similarly, regardless of academic achievement, students with high academic grade will show more aggressive behavior than low academic grade students. Finally, students of urban areas will not show significantly more aggressive behavior than rural areas students. Thus the differential treatment in gender, academic achievement and residential background provides a new dimension in understanding aggression in rural and urban boys and girls.
Educating Social Workers for Practice in Integrated Health Care: A Model Implemented in a Graduate Social Work Program

ABSTRACT This article introduces a curricular innovation, the Integrated Health Scholars Program (IHSP), developed to prepare master's-level social work students for practice in integrated health care settings, and presents preliminary findings related to students’ self-reported program competencies and perceptions. IHSP, implemented in a research-intensive school of social work in a large midwestern public university, includes specialized course work, interprofessional education across health science disciplines, and field practicum in integrated health care settings. Curricular components support stepwise learning and follows the British Columbia model of interprofessional education learning tiers: exposure, immersion, and skill mastery. Despite IHSPs successful development in a well-resourced, supportive environment, challenges facing our profession's ability to develop and sustain training of MSW students in integrated health care are discussed.
Regulation of 25-hydroxyvitamin D3-1 -hydroxylase and production of 1 ,25-dihydroxyvitamin D3 by human dendritic cells

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Bandits With Heavy Tail

The stochastic multiarmed bandit problem is well understood when the reward distributions are sub-Gaussian. In this paper, we examine the bandit problem under the weaker assumption that the distributions have moments of order 1 + ε, for some ε ∈ (0,1]. Surprisingly, moments of order 2 (i.e., finite variance) are sufficient to obtain regret bounds of the same order as under sub-Gaussian reward distributions. In order to achieve such regret, we define sampling strategies based on refined estimators of the mean such as the truncated empirical mean, Catoni's M-estimator, and the median-of-means estimator. We also derive matching lower bounds that also show that the best achievable regret deteriorates when ε <; 1.