Miracle-dz/UniFAR-FTUs huggingface dataset:
A longitudinal fMRI investigation in acute post-traumatic stress disorder (PTSD)

Background Neuroimaging studies have implicated limbic, paralimbic, and prefrontal cortex in the pathophysiology of chronic post-traumatic stress disorder (PTSD). However, little is known about the neural substrates of acute PTSD and how they change with symptom improvement. Purpose To examine the neural circuitry underlying acute PTSD and brain function changes during clinical recovery from this disorder. Material and Methods Nineteen acute PTSD patients and nine non-PTSD subjects who all experienced a devastating mining accident underwent clinical assessment as well as functional magnetic resonance imaging (fMRI) scanning while viewing trauma-related and neutral pictures. Two years after the accident, a subgroup of 17 patients completed a second clinical evaluation, of which 13 were given an identical follow-up scan. Results Acute PTSD patients demonstrated greater activation in the vermis and right posterior cingulate, and greater deactivation in the bilateral medial prefrontal cortex and inferior parietal lobules than controls in the traumatic versus neutral condition. At follow-up, PTSD patients showed symptom reduction and decreased activation in the right middle frontal gyrus, bilateral posterior cingulate/precuneus, and cerebellum. Correlation results confirmed these findings and indicated that brain activation in the posterior cingulate/precuneus and vermis was predictive of PTSD symptom improvement. Conclusion The findings support the involvement of the medial prefrontal cortex, inferior parietal lobule, posterior cingulate, and vermis in the pathogenesis of acute PTSD. Brain activation in the vermis and posterior cingulate/precuneus appears to be a biological marker of recovery potential from PTSD. Furthermore, decreased activation of the middle frontal gyrus, posterior cingulate/precuneus, and cerebellum may reflect symptom improvement.
Leukocytic promotion of prostate cellular proliferation

Histological evidence of pervasive inflammatory infiltrate has been noted in both benign prostatic hyperplasia/hypertrophy (BPH) and prostate cancer (PCa). Cytokines known to attract particular leukocyte subsets are secreted from prostatic stroma consequent to aging and also from malignant prostate epithelium. Therefore, we hypothesized that leukocytes associated with either acute or chronic inflammation attracted to the prostate consequent to aging or tumorigenesis may promote the abnormal cellular proliferation associated with BPH and PCa.
Living Brands: Collaboration + Innovation = Customer Fascination

A marketing master reveals how to create brands that tap into customers' lifestyles In an era of 24/7 marketing, companies are creating 'living brands' which speak directly to how consumers live, as well as what they buy. This revolutionary guide shows you how to tap into the hottest trends by taking cues from the customers. Raymond Nadeau, the mastermind behind Celine Dion's and Jennifer Lopez's fragrances shows how to search for alternative ways of connecting to consumers on deeper levels, breaking free of the focus group. By doing so, you can overcome the challenges where markets are fragmented along cultural, geographical, sociological, and aspirational lines. Key features Thought leaders at five of the world's top branding agencies reveal time-tested secrets of successful branding Filled with interviews, case studies, and detailed action plans from top marketing, branding, and ad agency executives Based on the author's groundbreaking 'Living Brands, Living Media' strategy, profiled in Brandweek and on CNN Raymond Nadeau is a frequent speaker at industry events worldwide, including Ad Age's conferences
Expanding the Mother-Child Paradigm

Reliance on the mother-child dyad as the primary context for understanding child development has caused fathers to be underrepresented in published research on child development and developmental psychopathology. In order to investigate whether this pattern was also evident in the work of future psychologists, we reviewed Dissertation Abstracts from 1986 through 1994. Results showed that fathers were the focus of significantly fewer dissertation studies (10.5%) than were mothers (59.5%) or both parents (30.0%). We argue that essentializing the mother-child bond is a political philosophy about the roles of men and women that places the discipline of psychology at risk for inadvertently becoming an apologist for the neoconservative political right. Specific suggestions for revising graduate training are presented. The social policy implications for continuing this trend into the next generation of psychologists are discussed.
Determining the Fetal Inflammatory Response in an Experimental Model of Intrauterine Inflammation in Rats

Intrauterine infection is a risk factor for developmental brain injuries in childhood. A variety of cytokines known to be toxic to developing brain cells have been isolated from mothers or children at risk for developmental disabilities, and these cytokines have been proposed as mediators of these injuries. We have developed a model of intrauterine inflammation that damages the developing white matter and we now hypothesize that selected cytokines are increased after our experimental inflammatory stimulus. Timed-pregnant Fischer 344 and Lewis rats were injected with 0.1 mg/kg of lipopolysaccharide (LPS) into the cervix at E15. Tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), IL-6, and IL-10 were measured in homogenates of fetal brain and placenta at serial time periods within the first 24 h after the inflammatory stimulus. TNF-α was increased 20-fold in the placenta and more than 5-fold in the fetal brain after the stimulus. IFN-γ was only increased within the fetal brain (20-fold) and IL-6 was only increased in the placenta (10-fold). IL-10 was mildly increased in the placenta and was decreased slightly in the fetal brain. Our observations show that an intrauterine inflammatory stimulus can cause large increases in Th1 cytokines within the fetal brain. The placenta can produce selected cytokines but fails to produce IFN-γ, suggesting that the fetal immune system produces this cytokine in response to our stimulus. By studying placental and brain cytokine responses in models such as ours, the mechanisms responsible for the damage to developing white matter can be determined.
Experimental study on power system stabilization by pseudo-synchronizing power inverter with multiple synchronous machines

This paper provides a convincing argument for assessing effectiveness of a pseudo-synchronizing power inverter by experimental study using a real inverter and real multiple synchronous machines. Since the renewable energy sources are being rapidly introduced to the power system, synchronous machines will be forced to stop in order to balance the supply and demand. The implementation of virtual inertia into power electronics devices are well known as one of effective ways to stabilize the power system with few synchronous machines. In previous researches including some studies by authors, the theoretical and simple experimental studies for pseudo-synchronizing power inverter have been already examined. To realize stable power system by introducing the pseudo-synchronizing power inverter, however, further realistic experimental analysis seems to be necessary. In the context of the realistic experimental study, we construct a small scale and realistic power system with multiple synchronous machines, two-line transmission lines with a fault simulation system, and a real inverter. The inverter is controlled by gate signals from a digital signal processing board (PE-Expert 4) which generates the signals so that the inverter has the synchronizing power virtually. It can be seen from the experimental results that the proposed pseudo-synchronizing power inverter can successfully work even in the realistic experimental power system.
Obstructive sleep apnea: diagnosis, medical management and dental implications.

BACKGROUND Patients with undiagnosed obstructive sleep apnea (OSA) represent a major public health problem, and studies suggest that the incidence of OSA may be even higher than estimated. TYPES OF STUDIES REVIEWED The authors reviewed current literature describing comorbidities of patients with OSA. RESULTS Sleep medicine is a relatively new field. Dental practitioners may lack educational exposure and, as a result, feel uncomfortable asking their patients sleep-related questions. While patients with well-controlled OSA present few difficulties for routine dental treatment, it is imperative that health care professionals understand the comorbidities associated with OSA and that untreated OSA may contribute to increased morbidity and mortality. CLINICAL IMPLICATIONS Dental professionals have a unique doctor-patient relationship that affords them a role in recognizing sleep disorders by exploring the history of patients who are sleepy.
Eukaryotic genome size databases

Three independent databases of eukaryotic genome size information have been launched or re-released in updated form since 2005: the Plant DNA C-values Database (), the Animal Genome Size Database () and the Fungal Genome Size Database (). In total, these databases provide freely accessible genome size data for >10 000 species of eukaryotes assembled from more than 50 years' worth of literature. Such data are of significant importance to the genomics and broader scientific community as fundamental features of genome structure, for genomics-based comparative biodiversity studies, and as direct estimators of the cost of complete sequencing programs.
Weighted Neighborhood Classifier for the Classification of Imbalanced Tumor Dataset

Machine learning is widely applied to gene expression profiles based molecular tumor classification, but sample imbalance problem is often overlooked. This paper proposed a subclass-weighted neighborhood classifier to address the imbalanced sample set problem and a novel neighborhood rough set model to select informative genes for classification performance improvement. Experiments on three publicly available tumor datasets demonstrated that the proposed method is obviously effective on imbalanced dataset with obscure boundary between two subtypes and informative gene selection and it can achieve higher cross-validation accuracy with much fewer tumor-related genes.
Multi-view transfer learning with a large margin approach

Transfer learning has been proposed to address the problem of scarcity of labeled data in the target domain by leveraging the data from the source domain. In many real world applications, data is often represented from different perspectives, which correspond to multiple views. For example, a web page can be described by its contents and its associated links. However, most existing transfer learning methods fail to capture the multi-view {nature}, and might not be best suited for such applications. To better leverage both the labeled data from the source domain and the features from different views, {this paper proposes} a general framework: Multi-View Transfer Learning with a Large Margin Approach (MVTL-LM). On one hand, labeled data from the source domain is effectively utilized to construct a large margin classifier; on the other hand, the data from both domains is employed to impose consistencies among multiple views. As an instantiation of this framework, we propose an efficient optimization method, which is guaranteed to converge to ε precision in O(1/ε) steps. Furthermore, we analyze its error bound, which improves over existing results of related methods. An extensive set of experiments are conducted to demonstrate the advantages of our proposed method over state-of-the-art techniques.
Analysis and synthesis of stable grasp by multi-fingered robot hand with compliance control

In this paper, we deal with an analysis and a synthesis of stable grasp by a multi-fingered robot hand with compliance control. The stability of a grasped object by the fingers with linear elastic stiffness is firstly analyzed. A sufficient condition with the gravity effect is driven with respect to the contact points, the elastic coefficients and the mass of the grasped object. A compliance controller with a disturbance observer using force sensors secondly is proposed. The stability of the controller is proved by the Lyapunov stability theorem. The performance of the controller is verified in experiments. Furthermore, it is verified that the grasp by the compliance controller is stable with the sufficient condition.
Efficient community detection of network flows for varying Markov times and bipartite networks

Community detection of network flows conventionally assumes one-step dynamics on the links. For sparse networks and interest in large-scale structures, longer timescales may be more appropriate. Oppositely, for large networks and interest in small-scale structures, shorter timescales may be better. However, current methods for analyzing networks at different timescales require expensive and often infeasible network reconstructions. To overcome this problem, we introduce a method that takes advantage of the inner workings of the map equation and evades the reconstruction step. This makes it possible to efficiently analyze large networks at different Markov times with no extra overhead cost. The method also evades the costly unipartite projection for identifying flow modules in bipartite networks.
A Pseudospectral Approach for Polar and Spherical Geometries

The singularities that arise in polar and spherical coordinates have in the past caused significant difficulties in obtaining accurate solutions to convection–diffusion-type problems in many fields (astrophysics, geophysics, meteorology, etc.). Viewing pseudospectral methods as a limiting case of finite difference methods (rather than as based on expansions in terms of orthogonal functions) leads naturally to very simple, yet highly effective, fast Fourier transform (FFT)-based pseudospectral methods in such geometries.
Salivary Proteins: Protective and Diagnostic Value in Cariology?

Saliva is essential for a lifelong conservation of the dentition. Various functions of saliva are implicated in the maintenance of oral health and the protection of our teeth: (i) The tooth surface is continuously protected against wear by a film of salivary mucins and proline-rich glycoprotein. (ii) The early pellicle proteins, proline-rich proteins and statherin, promote remineralization of the enamel by attracting calcium ions. (iii) Demineralization is retarded by the pellicle proteins, in concert with calcium and phosphate ions in saliva and in the plaque fluid. (iv) Several salivary (glyco)proteins prevent the adherence of oral microorganisms to the enamel pellicle and inhibit their growth. (v) The salivary bicarbonate/carbonate buffer system is responsible for rapid neutralization of acids. An overview is presented on the major antimicrobial systems in human saliva. Not only the well-known major salivary glycoproteins, including mucins, proline-rich glycoprotein and immunoglobulins, but also a number of minor salivary (glyco)proteins, including agglutinin, lactoferrin, cystatins and lysozyme, are involved in the first line of defense in the oral cavity. Besides, small cationic antimicrobial peptides, e.g. defensins, cathelicidin and the histatins, have come into focus. These are potentially suited as templates for the design of a new generation of antibiotics, since they kill a broad spectrum of microorganisms, while hardly evoking resistance, in contrast to the classical antibiotics.
Interactive image segmentation via cascaded metric learning

In this paper, we propose an interactive image segmentation method from a novel perspective of cascaded metric learning. Given an image with user-marked scribbles that are essentially uncertain and noisy, our method completes the segmentation task by solving a binary classification problem. Starting from the initial training samples with known class labels (i.e., regions of the image that are believed with high confidence to be foreground or background), we first find an optimal metric that can best describe the classification of these samples. After that, we classify the unlabeled samples using the learnt metric. Samples classified with high confidence are used as new training samples to refine the metric. This cycle of metric learning and classification repeats until the accomplishment of the image segmentation task. The proposed method is extensively evaluated on the MSRC image set. Experiment results show that our method outperforms the state-of-the-art methods.
MayaArch3D - webbasierte archäologische 3D-Visualisierung und Analyse

Technological advances in the field of 3D data acquisition, modeling and processing enable new possibilities for archaeological documentation, exploration and analysis of individual artifacts, entire excavation sites or reconstructions of past settlements and landscapes. The dissemination of this information together with suitable tools through virtual research platforms requires new methods of dealing with large amounts of data in the web. Some of the open source components of the MayaArch3D research platform will be presented here.
Cooperating Virtual Memory and Write Buffer Management for Flash-Based Storage Systems

Flash memory is becoming the preferred choice of secondary storage in mobile devices and embedded systems. The performance of Flash memory is dictated by asymmetric speeds of read and write, limited number of erase times, and the absence of in-place updates. To improve the performance of Flash-based storage systems, the write buffer has been provided in Flash memories recently. At the same time, new virtual memory management strategies have been proposed in recent studies that consider the characteristics of Flash memory. Currently, approaches on these two memory layers are considered separately, which fail to explore the full potential of these two layers. In this paper, we propose cooperative management schemes for virtual memory and write buffer to maximize the performance of Flash-memory-based systems. Management on virtual memory is designed to exploit write buffer status via reordering of the write sequences. The proposed write buffer management scheme works seamlessly with the proposed virtual memory management scheme. Experimental results show that significant improvement in I/O performance and reduction of the number of erase and write operations can be achieved compared to the state-of-art approaches.
Multi-channel vibrotactile display for teleoperated assembly

Presents the design and testing of a multi-channel vibrotactile display. It is composed of a cylindrical handle with four embedded vibrating elements driven by piezoelectric beams. Vibrations are transmitted to the hands through arrays of pins. The device was tested in sensory substitution for conveying force information during a teleoperated peg insertion. Results show that the device is effective in reducing peak forces during the insertion task.
Increasing GP Computing Power via Volunteer Computing

This paper describes how it is possible to increase GP Computing Power via Volunteer Computing (VC) using the BOINC framework. Two experiments using well-known GP tools -Lil-gp & ECJ- are performed in order to demonstrate the benefit of using VC in terms of computing power and speed up. Finally we present an extension of the model where any GP tool or framework can be used inside BOINC regardless of its programming language, complexity or required operating system.
Inter-cell interference-coordination for distributed MIMO-systems based on wideband precoder selection

In this paper, a coordination framework for coordinated multi-point (CoMP) transmission in a distributed multiple-input multiple-output (MIMO) deployment is introduced. The proposed scheme exploits wideband channel state information (CSI) in order to control CoMP transmission which reduces the required feedback compared to full CSI. Due to the spatial correlation of large-scale parameters of the mobile radio channel, wideband CSI is robust against outdating, thus applicable for scenarios with high user mobility. The coordination of precoder selection at adjacent base station (BS)-sites allows to shape the resulting spatial inter-cell interference pattern, i.e. the spatial distribution of signal-to-interference-and-noise ratio (SINR) in areas between individual cells. In this paper a baseline scheme is proposed, which selects individual precoders on orthogonal bandwidth resources in a coordinated fashion. It is shown via system-level simulations, that the proposed coordination scheme based on wide-band CSI improves system throuput for various user distributions and is robust against user equipment (UE) mobility.
Improvement of Mapping Accuracy by Unifying Linkage and Association Analysis

It is well known that pedigree/family data record information on the coexistence in founder haplotypes of alleles at nearby loci and the cotransmission from parent to offspring that reveal different, but complementary, profiles of the genetic architecture. Either conventional linkage analysis that assumes linkage equilibrium or family-based association tests (FBATs) capture only partial information, leading to inefficiency. For example, FBATs will fail to detect even very tight linkage in the case where no allelic association exists, while a violation of the assumption of linkage equilibrium will result in biased estimation and reduced efficiency in linkage mapping. In this article, by using a data augmentation technique and the EM algorithm, we propose a likelihood-based approach that embeds both linkage and association analyses into a unified framework for general pedigree data. Relative to either linkage or association analysis, the proposed approach is expected to have greater estimation accuracy and power. Monte Carlo simulations support our theoretical expectations and demonstrate that our new methodology: (1) is more powerful than either FBATs or classic linkage analysis; (2) can unbiasedly estimate genetic parameters regardless of whether association exists, thus remedying the bias and less precision of traditional linkage analysis in the presence of association; and (3) is capable of identifying tight linkage alone. The new approach also holds the theoretical advantage that it can extract statistical information to the maximum extent and thereby improve mapping accuracy and power because it integrates multilocus population-based association study and pedigree-based linkage analysis into a coherent framework. Furthermore, our method is numerically stable and computationally efficient, as compared to existing parametric methods that use the simplex algorithm or Newton-type methods to maximize high-order multidimensional likelihood functions, and also offers the computation of Fisher's information matrix. Finally, we apply our methodology to a genetic study on bone mineral density (BMD) for the vitamin D receptor (VDR) gene and find that VDR is significantly linked to BMD at the one-third region of the wrist.
Other Esteem: Meaningful Life in a Multicultural Society

Beyond Self-Esteem. Life from a Different Perspective. The Conspiracy of Silence. Discovering the Inner Ring of Intimacy. Developing the Ring of Friendship. Other-Esteem and Leadership. Other-Esteem in a Multicultural Society. The Psychology of Forgiveness. The By-ways to Meaningful Life.