Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship Between Biofeedback and Oxidative Stress in Patients With Chronic Migraine

Chronic migraine (1.5.1) is burdened with headache-related disability. During noxious stimulation, changes of cerebral blood flow enhance the release of oxygen free radicals that react with nitric oxide (NO). We investigated the role of biofeedback in limiting migraine disability by influencing oxidative stress. Peroxides, NO and superoxide dismutase (SOD) were analysed in 20 female subjects with chronic migraine and in 20 female healthy controls before and after biofeedback sessions. NOx levels (23.7 ± 4.2 vs. 34.9 ± 4.6 μM; P < 0.05) and SOD activity (6.5 ± 1.0 vs. 8.0 ± 0.7 U/ml; P < 0.05) were lower in migraine sufferers before treatment than in healthy controls, whereas peroxide levels (145.8 ± 40.3 vs. 78.0 ± 20.0 μM; P < 0.05) were higher in migraine sufferers before treatment than in healthy controls. In migraine sufferers NOx levels (23.7 ± 4.2 vs. 31.3 ± 7.1 μM; P < 0.05) and SOD activity (6.5 ± 1.0 vs. 7.9 ± 0.9 U/ml; P < 0.05) were lower before than after treatment, whereas peroxide levels (145.8 ± 40.3 vs. 82.4 ± 21.1 μM; P < 0.05) were higher before than after treatment. SOD serum activity correlated positively with NOx serum levels and negatively with peroxide serum levels in healthy controls and in chronic migraine sufferers before and after biofeedback. The mean Migraine Disability Assessment Score before biofeedback sessions was higher than after treatment (36.9 ± 13.9 vs. 18.8 ± 10.4; P < 0.001). The effectiveness of biofeedback in limiting chronic migraine may be related to muscular relaxation associated with decreased oxidative stress accompanied by psychological well-being.
A COMPREHENSIVE STUDY OF CONTRAST ENHANCEMENT MEDICAL IMAGE USING VARIOUS WAVELETS TRANSFORM

with the development in the digital imaging techniques, an image enhancement is one of the characteristic of image. The medical image enhancement is one of the application, these data can be suffer from some of the unnecessary noise, lack of contrast, sharpening and distort images due to these flaws we obtain false report for diagnosis of diseases. So for improving the quality of the medical image data various methodologies has been developed and proposed by different researchers. In this paper, we present literature of some of the techniques for enhancing the quality of medical digital image data and also describe their advantage and disadvantages.
Gaussian Process kernels for popular state-space time series models

In this paper we investigate a link between state-space models and Gaussian Processes (GP) for time series modeling and forecasting. In particular, several widely used state-space models are transformed into continuous time form and corresponding Gaussian Process kernels are derived. Experimental results demonstrate that the derived GP kernels are correct and appropriate for Gaussian Process Regression. An experiment with a real world dataset shows that the modeling is identical with state-space models and with the proposed GP kernels. The considered connection allows the researchers to look at their models from a different angle and facilitate sharing ideas between these two different modeling approaches.
Proteomic Changes between Male and Female Worms of the Polychaetous Annelid Neanthes arenaceodentata before and after Spawning

The Neanthes acuminata species complex (Polychaeta) are cosmopolitan in distribution. Neanthesarenaceodentata , Southern California member of the N . acuminata complex, has been widely used as toxicological test animal in the marine environment. Method of reproduction is unique in this polychaete complex. Same sexes fight and opposite sexes lie side by side until egg laying. Females lose about 75% of their weight and die after laying eggs. The male, capable of reproducing up to nine times, fertilizes the eggs and incubates the embryos for 3-4 weeks. The objective of this study was to determine if there is any set of proteins that influences this unique pattern of reproduction. Gel-based two-dimensional electrophoresis (2-DE) and gel-free quantitative proteomics methods were used to identify differential protein expression patterns before and after spawning in both male and female N . arenaceodentata . Males showed a higher degree of similarity in protein expression patterns but females showed large changes in phosphoproteme before and after spawning. There was a decrease (about 70%) in the number of detected phosphoproteins in spent females. The proteins involved in muscular development, cell signaling, structure and integrity, and translation were differentially expressed. This study provides proteomic insights of the male and female worms that may serve as a foundation for better understanding of unusual reproductive patterns in polychaete worms.
Regulated cell death pathways: New twists in modulation of BCL2 family function

A number of cell death pathways have been recognized. Though apoptosis and autophagy have been well characterized, programmed necrosis has recently received attention and may provide clinical alternatives to suppress resistant tumors. Necrosis is primarily characterized by large-scale permeabilization, swelling, and rupture of cell membranes and the release of pro-inflammatory cytokines. Traditionally, necrosis in cancer cells has been indicative of poor prognoses, as chronic inflammation was found to encourage tumor growth. Yet, many antitumor effects associated with necrosis have been discovered in certain settings, such as the formation of an effective antitumor immune response. In this way, finding ways to attenuate the pro-tumor effects of necrosis while engaging the antitumor pathways via drugs, radiation, and sensitization may prove valuable as a clinical focus for the future. We hypothesize that the use of Bcl-2 inhibitors may enhance necrotic death characterized by inflammation and antitumor immunity. In this article, we briefly review apoptosis and autophagy and reason how necrosis may be a suitable alternative therapeutic endpoint. We then highlight novel inhibitors of Bcl-2 that may provide clinical application of our hypothesis in the future. [Mol Cancer Ther 2009;8(6):1421–9]
Optimizing Neural Networksfor Time Series

In this paper we investigate the eeective design of an appropriate neural network model for time series prediction based on an evolutionary approach. In particular, the Breeder Genetic Algorithms are considered to face contemporaneously the optimization of (i) the design of a neural network architecture and (ii) the choice of the best learning method. The eeectiveness of the approach proposed is evaluated on a standard benchmark for prediction models, the Mackey{Glass series.
The Interaction of CtIP and Nbs1 Connects CDK and ATM to Regulate HR–Mediated Double-Strand Break Repair

CtIP plays an important role in homologous recombination (HR)–mediated DNA double-stranded break (DSB) repair and interacts with Nbs1 and BRCA1, which are linked to Nijmegen breakage syndrome (NBS) and familial breast cancer, respectively. We identified new CDK phosphorylation sites on CtIP and found that phosphorylation of these newly identified CDK sites induces association of CtIP with the N-terminus FHA and BRCT domains of Nbs1. We further showed that these CDK-dependent phosphorylation events are a prerequisite for ATM to phosphorylate CtIP upon DNA damage, which is important for end resection to activate HR by promoting recruitment of BLM and Exo1 to DSBs. Most notably, this CDK-dependent CtIP and Nbs1 interaction facilitates ATM to phosphorylate CtIP in a substrate-specific manner. These studies reveal one important mechanism to regulate cell-cycle-dependent activation of HR upon DNA damage by coupling CDK- and ATM-mediated phosphorylation of CtIP through modulating the interaction of CtIP with Nbs1, which significantly helps to understand how DSB repair is regulated in mammalian cells to maintain genome stability.
An Introduction to 3-D User Interface Design

Three-dimensional user interface design is a critical component of any virtual environment (VE) application. In this paper, we present a broad overview of 3-D interaction and user interfaces. We discuss the effect of common VE hardware devices on user interaction, as well as interaction techniques for generic 3-D tasks and the use of traditional 2-D interaction styles in 3-D environments. We divide most user-interaction tasks into three categories: navigation, selection/manipulation, and system control. Throughout the paper, our focus is on presenting not only the available techniques but also practical guidelines for 3-D interaction design and widely held myths. Finally, we briefly discuss two approaches to 3-D interaction design and some example applications with complex 3-D interaction requirements. We also present an annotated online bibliography as a reference companion to this article.
Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I. S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.
On the design of a (H)EV steerable warning device using acoustic beam forming and advanced numerical acoustic simulation

This paper describes the simulation-based design methodology used in the eVADER project for the development of targeted acoustic warning devices for increased detectability of Hybrid and Electric Vehicles (HEVs) while, at the same time, reducing urban noise pollution. A key component of this system is an external warning signal generator capable of projecting the warning signals to a contained area in front of the vehicle where potential at-risk situations are detected. Using acoustic beam forming principles a suitable warning strategy and an initial layout for realizing such a system is defined. Starting from this information, acoustic Finite and Boundary Element models of the transducer array allow assessing more realistically the performance impact of the system integration and of the most critical changes in the acoustic environment in which the signal generator needs to operate.
Passive energy recapture in jellyfish contributes to propulsive advantage over other metazoans

Significance Jellyfish have the ability to bloom and take over perturbed ecosystems, but this is counterintuitive because jellyfish are described as inefficient swimmers and rely on direct contact with prey to feed. To understand how jellyfish can outcompete effective visual hunters, such as fish, we investigate the energetics of propulsion. We find that jellyfish exhibit a unique mechanism of passive energy recapture, which can reduce metabolic energy demand by swimming muscles. Contrary to prevailing views, this contributes to jellyfish being one of the most energetically efficient propulsors on the planet. These results demonstrate a physical basis for the ecological success of medusan swimmers despite their simple body plan and have implications for bioinspired design, where low-energy propulsion is required. Gelatinous zooplankton populations are well known for their ability to take over perturbed ecosystems. The ability of these animals to outcompete and functionally replace fish that exhibit an effective visual predatory mode is counterintuitive because jellyfish are described as inefficient swimmers that must rely on direct contact with prey to feed. We show that jellyfish exhibit a unique mechanism of passive energy recapture, which is exploited to allow them to travel 30% further each swimming cycle, thereby reducing metabolic energy demand by swimming muscles. By accounting for large interspecific differences in net metabolic rates, we demonstrate, contrary to prevailing views, that the jellyfish (Aurelia aurita) is one of the most energetically efficient propulsors on the planet, exhibiting a cost of transport (joules per kilogram per meter) lower than other metazoans. We estimate that reduced metabolic demand by passive energy recapture improves the cost of transport by 48%, allowing jellyfish to achieve the large sizes required for sufficient prey encounters. Pressure calculations, using both computational fluid dynamics and a newly developed method from empirical velocity field measurements, demonstrate that this extra thrust results from positive pressure created by a vortex ring underneath the bell during the refilling phase of swimming. These results demonstrate a physical basis for the ecological success of medusan swimmers despite their simple body plan. Results from this study also have implications for bioinspired design, where low-energy propulsion is required.
Providing the human-robot interaction with biomimetic approach

Bu çalışmada, insan kol ve el hareketlerinin taklit edilmesiyle insanrobot etkileşimini sağlayan biyomimetik bir yaklaşım sunulmuştur. İnsan kol hareketleriyle robotun aynı doğrultuda hareket etmesi sağlanmış ve el hareketleri ile de robot tutucusunun kontrolü sağlanmıştır. Robot hareketi için; ilk olarak insan elinin, bel hizasında orijin noktası olarak belirlenen noktaya olan konumunu verecek kinematik model oluşturulmuştur. Modellemede, insan kolu, ön kol, pazı ve omuz olmak üzere üç ayrı uzuv olarak incelenmiştir. Omuza, pazıya ve ön kola yerleştirilen algılayıcılar ile dönüş açısı bilgileri elde edilmiş ve uzuv uzunlukları ile birlikte matematiksel modelde kullanılmıştır. Bu hesaplamalarda rotasyon kinematiği ve hareket kinematiği matrisleri kullanılmıştır. Tutucu kontrolü için ise bünyesinde EMG sensörleri bulunduran MYO kol bandı kullanılmıştır. Bu kol bandı üzerindeki EMG sensörleri ile kol kaslarından parmak hareketleri algılatılmıştır ve bu hareketler doğrultusunda pnömatik tutucu kontrol edilmiştir. Uygulamalarda 6-eksen robot kolu kullanılmıştır. Hesaplanan konum verileri ve tutucu bilgisi ethernet üzerinden TCP/IP protokolü ile robot denetleyicisine aktarılmaktadır. Robotun hesaplanan konuma gitmesini ve tutucu kontrolünü sağlayan kod oluşturularak robota aktarılmıştır. Yapılan testlerde, endüstriyel robotun insan kol ve el hareketleri ile başarılı biçimde kontrol edildiği gözlemlenmiştir. In this work, a biomimetic approach to provide human-robot interaction by mimicking the motion of human arm and fingers is presented. The movement of an industrial robot is performed by human arm movement in same direction and the control of gripper is also performed by hand movements. For the movement of robot, as a first step, a kinematic model is obtained to give the position of the human hand to the point determined as the origin point in the waist line. In the modelling, the human arm is considered as three limp that are forearm, biceps and shoulder. The rotational angles are obtained from sensors placed in the shoulder, biceps, and forearm, are used in the mathematical model with limb lengths. Rotation kinematics and kinematics matrices are used in these calculations. For the gripper control, a MYO armband with EMG sensors is used. With this EMG sensor on the armband, finger movements are detected from the arm muscles and the pneumatic gripper was controlled in the direction of these movements. A 6-axis robot arm is used in the applications. The calculated position data and the gripper information are transferred to the robot controller via the TCP/IP protocol over Ethernet. A code that provides reaching of robot to calculated position and control the gripper is created and transferred to robot. In the tests, it has been observed that the industrial robot has been successfully controlled by human arm and hand movements
Properties and molecular identity of NMDA receptors at synaptic and non-synaptic inputs in cerebellar molecular layer interneurons

N-methyl-D-aspartate receptors (NMDARs) in cerebellar molecular layer interneurons (MLIs) are expressed and activated in unusual ways: at parallel fibre (PF) synapses they are only recruited by repetitive stimuli, suggesting an extrasynaptic location, whereas their activation by climbing fibre is purely mediated by spillover. NMDARs are thought to play an important role in plasticity at different levels of the cerebellar circuitry. Evaluation of the location, functional properties and physiological roles of NMDARs will be facilitated by knowledge of the NMDAR isoforms recruited. Here we show that MLI-NMDARs activated by both PF and climbing fibre inputs have similar kinetics and contain GluN2B but not GluN2A subunits. On the other hand, no evidence was found of functional NMDARs in the axons of MLIs. At the PF-Purkinje cell (PF-PC) synapse, the activation of GluN2A-containing NMDARs has been shown to be necessary for the induction of long-term depression (LTD). Our results therefore provide a clear distinction between the NMDARs located on MLIs and those involved in plasticity at PF-PC synapses.
Multiple firing of single muscle vasoconstrictor neurons during cardiac dysrhythmias in human heart failure.

Single vasoconstrictor nerve fibers in humans normally fire only once but have the capacity to fire as many as eight times, per cardiac interval. Our laboratory recently demonstrated that the mean firing frequency of individual vasoconstrictor fibers is more than doubled in the sympathoexcitation associated with congestive heart failure (Macefield VG, Rundqvist B, Sverrisdottir YB, Wallin BG, and Elam M. Circulation 100: 1708--1713, 1999). However, the propensity to fire only once per cardiac interval was retained. In the present retrospective study, we tested the hypothesis that vasoconstrictor fibers fire more than once per cardiac interval in response to transient sympathoexcitatory stimuli, providing one mechanism for further increase of an already augmented sympathetic discharge. Six patients with congestive heart failure (New York Heart Association functional class II--IV; left ventricular ejection range 13--37%, average 22%) were studied at rest and during premature ectopic heartbeats. Analyzed for a total of 60 premature beats, the average firing probability of 10 vasoconstrictor fibers increased from 61 to 80% in the prolonged cardiac interval (i.e., reduced diastolic pressure) after premature beats. The incidence of multiple within-burst firing increased markedly, with two spikes being more common than one. Our results illustrate two different mechanisms (increases in firing probability and multiple within-burst firing), and indirectly indicate a third mechanism (recruitment of previously silent fibers), for acute sympathoexcitatory responses.
LinkMiser : Resource Conscious Routing and Reconfiguration in Faulty On-Chip Networks

As silicon technology continues to scale, transistor reliability is becoming a major concern. At the same time, increasing transistor counts are causing a rapid shift towards large chip multi-processors (CMP) designs, comprising several processors cores connected via a network-on-chip (NoC). As the sole medium of communication, an NoC should be able to gracefully tolerate an increasing number of permanent faults. In particular, it should be able to fully utilize all the functional resources to maintain decent performance. We propose LinkMiser, a solution for reliable operation of NoCs incurring high fault rates. In contrast to previous approaches that only use a subset of the functional links, LinkMiser utilizes all the working components in the NoC to provide reliable, deadlock-free routes between nodes. To this end, it leverages fine-resolution fault diagnosis mechanisms [18], designed specifically for on-chip networks. We also propose a modified version of up*/down* routing, specifically designed for maximal utilization of the functional components. Our solution places no restriction on the number and location of faults, while its distributed nature enables an efficient implementation. Experimental results show that LinkMiser, implemented in a 64-node NoC, provides 4.4% greater connectivity and 6.7% latency improvement at 50 faults over state-of-the-art on-chip fault tolerant solutions. Moreover, the reliability improvement is even more impressive at higher fault rates.
Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems

Of gaze tracking techniques, video-oculography (VOG) is one of the most attractive because of its versatility and simplicity. VOG systems based on general purpose mapping methods use simple polynomial expressions to estimate a user's point of regard. Although the behaviour of such systems is generally acceptable, a detailed study of the calibration process is needed to facilitate progress in improving accuracy and tolerance to user head movement. To date, there has been no thorough comparative study of how mapping equations affect final system response. After developing a taxonomic classification of calibration functions, we examine over 400,000 models and evaluate the validity of several conventional assumptions. The rigorous experimental procedure employed enabled us to optimize the calibration process for a real VOG gaze tracking system and, thereby, halve the calibration time without detrimental effect on accuracy or tolerance to head movement.
Gender similarity, coworker support, and job attitudes: An occupation’s creative requirement can make a difference

Abstract By introducing gender similarity as a contextual antecedent of coworker support, we examined the mediating role of coworker support for the relationship between workgroup gender similarity and job attitudes. In addition, we explored how a creative requirement, which is an occupational characteristic, can influence the relationship between coworker support and job attitudes above and beyond the role of supervisor support and organizational support. Results based on 975 full-time employees across a wide variety of occupations and industries indicated that as expected coworker support can serve as an underlying mechanism in the relationship between the relational demography of a workplace and employees’ job satisfaction and intention to quit. Furthermore, coworker support was significantly related to job satisfaction only for those occupations that required high levels of creativity. Finally, the creative requirement of an occupation moderated the indirect effect of gender similarity on job satisfaction through coworker support.