gebhart/patrepeval huggingface dataset:
Fusion of Video and Inertial Sensing for Deep Learning–Based Human Action Recognition (2019)

This paper presents the simultaneous utilization of video images and inertial signals that are captured at the same time via a video camera and a wearable inertial sensor within a fusion framework in order to achieve a more robust human action recognition compared to the situations when each sensing modality is used individually. The data captured by these sensors are turned into 3D video images and 2D inertial images that are then fed as inputs into a 3D convolutional neural network and a 2D convolutional neural network, respectively, for recognizing actions. Two types of fusion are considered-Decision-level fusion and feature-level fusion. Experiments are conducted using the publicly available dataset UTD-MHAD in which simultaneous video images and inertial signals are captured for a total of 27 actions. The results obtained indicate that both the decision-level and feature-level fusion approaches generate higher recognition accuracies compared to the approaches when each sensing modality is used individually. The highest accuracy of 95.6% is obtained for the decision-level fusion approach.
Combined expression of miR-34a and Smac mediated by oncolytic vaccinia virus synergistically promote anti-tumor effects in Multiple Myeloma (2016)

Despite great progress made in the treatment of multiple myeloma (MM), it is still incurable. Promising phase II clinical results have been reported recently for oncolytic vaccinia virus (OVV) clinic therapeutics. One reason for this has focused on the critical therapeutic importance of the immune response raised by these viruses. However, few studies have performed their applications as an optimal delivery system for therapeutic gene, especially miRNA in MM. In this study, we constructed two novel OVVs (TK deletion) that express anti-tumor genes, miR-34a and Smac, respectively, in MM cell lines and xenograft model. The results demonstrated that the novel OVV can effectively infect MM cell lines, and forcefully enhance the exogenous gene (miR-34a or Smac) expression. Furthermore, utilization of VV-miR-34a combined with VV-Smac synergistically inhibited tumor growth and induced apoptosis in vitro and in vivo. The underlying mechanism is proposed that blocking of Bcl-2 by VV-miR-34a increases the release of cytochrome c from mitochondria and then synergistically amplifies the antitumor effects of Smac-induced cell apoptosis. Our study is the first to utilize OVV as the vector for miR-34a or Smac expression to treat MM, and lays the groundwork for future clinical therapy for MM.
DeepRx: Fully Convolutional Deep Learning Receiver (2021)

Deep learning has solved many problems that are out of reach of heuristic algorithms. It has also been successfully applied in wireless communications, even though the current radio systems are well-understood and optimal algorithms exist for many tasks. While some gains have been obtained by learning individual parts of a receiver, a better approach is to jointly learn the whole receiver. This, however, often results in a challenging nonlinear problem, for which the optimal solution is infeasible to implement. To this end, we propose a deep fully convolutional neural network, DeepRx, which executes the whole receiver pipeline from frequency domain signal stream to uncoded bits in a 5G-compliant fashion. We facilitate accurate channel estimation by constructing the input of the convolutional neural network in a very specific manner using both the data and pilot symbols. Also, DeepRx outputs soft bits that are compatible with the channel coding used in 5G systems. Using 3GPP-defined channel models, we demonstrate that DeepRx outperforms traditional methods. We also show that the high performance can likely be attributed to DeepRx learning to utilize the known constellation points of the unknown data symbols, together with the local symbol distribution, for improved detection accuracy.
The use of music therapy in treating sexually abused children (2009)

Abstract The article focuses on the use of analytical music therapy in treating sexually abused children. The first part contains information about the specifics of working with sexually abused children and the therapeutic framework. The second part gives an overview of the music therapy concept and three relevant aspects of trauma: (a) the destroying of instances of good relationships; (b) the sexualization of the relationship; and (c) the restriction of the ability to mentalize. The third part shows a case study of an eight-year-old girl who showed extreme conformance, loss of vitality and suppression of feelings after being sexually abused by her mother's partner. Each scene will be interpreted with the focus on interaction patterns and connected to a function of how music is used. The fourth and final part will summarize nine functions of music which are meaningful in treating sexually abused children. Keywords: sexual abusetraumamentalizationinteraction patternsfunction of music Notes 1Through the help of Dunkelziffer, my colleague Sabine Mitzlaff and I have been able to evaluate in detail our experience of working in this area for six years. In our book published in 2005 by Decker-Voigt et al., we presented several long-term processes, incorporating the relevant theoretical aspects. 2Our experience is in line with the Literature (e.g.: Hirsch, 2004, p. 60; Mayr, 2000, p. 182). 3For example, Rogers (Citation2003) analyses in her case example the transference and countertransference when treating an 11-year-old sexually abused girl. 4German psychoanalyst who´s work focuses on the process of symbolization in psychoanalyses. 5In their articles Purdon (Citation2006, p. 219) and Robarts (20003, p. 165) show how the difficulties of sexual behaviour can occur in music therapy. 6Peter Fonagy together with Anthony Bateman developed a concept in mentalization-based treatment (MBT) for Borderline Personality disorder (Bateman & Fonagy, 2004). 7The conflict in the therapist's role (good and bad) is a result of the destruction of instances of good relationships – as shown in part 2a. 8Marked mirroring differs from other concepts of mirroring, e.g. as described by Wigram (2004, p.82). 9See part c (p. 139) about Mentalization and marked mirroring. 10In Fonagy's (Bateman & Fonagy, 2004, p. 68) thinking, one can link Kelly's play to the pretend mode which is one of two modes of early awareness of mental states. The pretend mode and psychic equivalence mode are modes of subjective experience that antedate mentalization. 11The gender aspect is worth covering in a separate article. 12To work through themes that involved sexuality is extremely important for sexually abused children as shown in part 2b. In Kelly´s case her sexuality was noticeable by its avoidance until the 32nd session.
Compact Rayleigh and Rician fading simulator based on random walk processes (2009)

This article describes a significantly improved sum-of-sinusoids-based model for the accurate simulation of time-correlated Rayleigh and Rician fading channels. The proposed model utilises random walk processes instead of random variables for some of the sinusoid parameters to more accurately reproduce the behaviour of wireless radio propagation. Every fading block generated using our model has accurate statistical properties on its own and hence, unlike previously proposed models, there is no need for time-consuming ensemble-averaging over multiple blocks. Using numerical simulation it is shown that the important statistical properties of the generated fading samples have excellent agreement with the theoretical reference functions. A fixed-point hardware implementation of the corresponding Rayleigh and Rician fading channel simulator on a field-programmable gate array (FPGA) is presented. By efficiently scheduling the operations, the reconfigurable fading channel simulator is compact enough that it can be efficiently used to simulate multipath scenarios and multiple-antenna systems (e.g. a 4×4 MIMO channel) using a single FPGA.
Defining the Role of the MHC in Autoimmunity: A Review and Pooled Analysis (2008)

The major histocompatibility complex (MHC) is one of the most extensively studied regions in the human genome because of the association of variants at this locus with autoimmune, infectious, and inflammatory diseases. However, identification of causal variants within the MHC for the majority of these diseases has remained difficult due to the great variability and extensive linkage disequilibrium (LD) that exists among alleles throughout this locus, coupled with inadequate study design whereby only a limited subset of about 20 from a total of approximately 250 genes have been studied in small cohorts of predominantly European origin. We have performed a review and pooled analysis of the past 30 years of research on the role of the MHC in six genetically complex disease traits - multiple sclerosis (MS), type 1 diabetes (T1D), systemic lupus erythematosus (SLE), ulcerative colitis (UC), Crohn's disease (CD), and rheumatoid arthritis (RA) - in order to consolidate and evaluate the current literature regarding MHC genetics in these common autoimmune and inflammatory diseases. We corroborate established MHC disease associations and identify predisposing variants that previously have not been appreciated. Furthermore, we find a number of interesting commonalities and differences across diseases that implicate both general and disease-specific pathogenetic mechanisms in autoimmunity.
Challenges to the development of antigen-specific breast cancer vaccines (2001)

Continued progress in the development of antigen-specific breast cancer vaccines depends on the identification of appropriate target antigens, the establishment of effective immunization strategies, and the ability to circumvent immune escape mechanisms. Methods such as T cell epitope cloning and serological expression cloning (SEREX) have led to the identification of a number target antigens expressed in breast cancer. Improved immunization strategies, such as using dendritic cells to present tumor-associated antigens to T lymphocytes, have been shown to induce antigen-specific T cell responses in vivo and, in some cases, objective clinical responses. An outcome of successful tumor immunity is the evolution of antigen-loss tumor variants. The development of a polyvalent breast cancer vaccine, directed against a panel of tumor-associated antigens, may counteract this form of immune escape.
Female Stress Urinary Incontinence Clinical Guidelines Panel Summary Report on Surgical Management of Female Stress Urinary Incontinence (1997)

The panel found sufficient acceptable long-term outcomes data (longer than 48 months) to conclude that surgical treatment of female stress urinary incontinence is effective, offering a long-term cure in a significant percentage of women. The evidence supports surgery as initial therapy and as a secondary form of therapy after failure of other treatments for stress urinary incontinence. Retropubic suspensions and slings are the most efficacious procedures for long-term success (based on cure/dry rates). However, in the panel's opinion retropubic suspensions and sling procedures are associated with slightly higher complication rates, including longer convalescence and postoperative voiding dysfunction.
Chlorhexidine-modified glass ionomer forbandcementation? An<i>in vitro</i>study (2005)

There was no significant difference in mean retentive strength, amount of cement remaining on the tooth after deband or mean survival time of bands cemented with CHXGIC or GIC. Bands cemented with either cement failed predominantly at the enamel-cement interface. The results suggest that CHXGIC may have comparable clinical performance to GIC for band cementation.
The Biology of Invasive Alien Plants in Canada. 3. <i>Amaranthus tuberculatus</i> (Moq.) Sauer var. <i>rudis</i> (Sauer) Costea & Tardif (2005)

This annual dioecious weed was found in 2002 and 2003 infesting soybean fields in southwestern Ontario, and it was collected in 1992 from waste places in British Columbia. It is a major weed problem in field crops in the mid-western United States, where it has become increasingly difficult to control during the past 10 yr. Morphological differences between Amaranthus tuberculatus var. rudis and var. tuberculatus are presented. A review of the biological information published is provided. Plants exhibit high phenotypic plasticity and genetic variability. Emergence is prolonged, growth rapid, and female plants produce a large number of viable seeds that contribute to a persistent seed bank. Amaranthus tuberculatus var. rudis has developed multiple resistance to triazine and acetolactate synthase- and protoporphyrinogen-inhibiting herbicides. Airborne pollen can travel significant distances and A. tuberculatus var. rudis may hybridize with other noxious Amaranthus spp. transferring herbicide resistance or other traits. Key words: Amaranthus tuberculatus var. rudis, AMATA, Amaranthus rudis, common waterhemp, weed biology, invasive alien
A hybrid organic semiconductor/silicon photodiode for efficient ultraviolet photodetection (2010)

A method employing conjugated polymer thin film blends is shown to provide a simple and convenient way of greatly enhancing the ultraviolet response of silicon photodetectors. Hybrid organic semiconductor/silicon photodetectors are demonstrated using fluorene copolymers and give a quantum efficiency of 60% at 200 nm. The quantum efficiency is greater than 34% over the entire 200-620 nm range. These devices show promise for use in high sensitivity, low cost UV-visible photodetection and imaging applications.
Automated change impact analysis between SysML models of requirements and design (2016)

An important activity in systems engineering is analyzing how a change in requirements will impact the design of a system. Performing this analysis manually is expensive, particularly for complex systems. In this paper, we propose an approach to automatically identify the impact of requirements changes on system design, when the requirements and design elements are expressed using models. We ground our approach on the Systems Modeling Language (SysML) due to SysML's increasing use in industrial applications.
Transport conductivity of graphene at RF and microwave frequencies (2016)

We measure graphene coplanar waveguides from direct current (DC) to a frequency f = 13.5 GHz and show that the apparent resistance (in the presence of parasitic impedances) has an dependence (where ), but the intrinsic conductivity (without the influence of parasitic impedances) is frequency-independent. Consequently, in our devices the real part of the complex alternating current (AC) conductivity is the same as the DC value and the imaginary part is ~0. The graphene channel is modeled as a parallel resistive–capacitive network with a frequency dependence identical to that of the Drude conductivity with momentum relaxation time ~2.1 ps, highlighting the influence of AC electron transport on the electromagnetic properties of graphene. This can lead to optimized design of high-speed analog field-effect transistors, mixers, frequency doublers, low-noise amplifiers and radiation detectors.
Frigate: an object-oriented file system (1998)

It is impossible to design and implement file systems for all possible uses. Only a few general purpose services can typically be included in an operating system. However, it is highly desirable to be able to modify or extend file systems within an operating system. Modifying the operating system for any purpose has traditionally been a difficult, if not impossible, task. Micro-kernel architectures, Streams, vnodes, loadable device drivers, and various &quot;file system in a server&quot; schemes have all attempted to add some measure of extensibility. We propose a new file system extensibility approach based on Frigate, an object-oriented file system. Frigate provides a modular, extensible file system framework that allows new extensions to be &quot;plugged-in&quot; on the f...
Identification of Grid Impedance for Purposes of Voltage Feedback Active Filtering (2004)

A voltage feedback active filter is vulnerable to unknown grid impedance. To overcome this problem we propose an identification method, which uses the control system of a frequency selective active filter to measure the grid impedance at selected frequencies. The usefulness of the method is experimentally demonstrated with a 19 kVA active rectifier with a voltage feedback active filtering function. The voltage feedback active filtering is performed in a case in which the active filter control is not stable before the impedance is identified with the method proposed. It is shown that the use of the measured grid impedance in the control system greatly enhances the dynamic stability of the system. Also, the grid impedance measurements are provided in two cases.
Amino acid side chains affect the bioactivity of designed short peptide amphiphiles (2016)

The artificially designed amphiphilic peptide G(IIKK)<sub>3</sub>I-NH<sub>2</sub> has been shown to be highly effective at killing bacteria and inhibiting the growth of tumor cells whilst remaining benign to normal mammalian cells. Herein we report how the side chain length and branching of constituent amino acids affect these bioactivities. Two peptide groups were designed by utilizing G(IIKK)<sub>3</sub>I-NH<sub>2</sub> as the base template. In Group 1, hydrophobic residues were replaced from Ile to Leu, Nle (norleucine), or Val. It was found that an increase in the side chain carbon number from 3 (Val) to 4 (Leu, Ile or Nle) substantially enhanced their antibacterial and antitumor activities, but different branching in the butyl side chain showed very different cytotoxicities to host mammalian cells, with the γ-branching in Leu eliciting the highest potency. Group 2 covered those cationic Lys residues which were replaced by synthetic homologues with shorter side chains, namely, Orn, Dab and Dap containing 3, 2 and 1 methylene units, respectively. The replacement did not affect their antibacterial activities much, but their anticancer activities were maximized in Orn and Dab. On the other hand, their cytotoxicities also became higher, indicating a multi-faceted role played by the cationic residues. Thus, changes in both the side chain length and branching strongly affected the amphiphilicity of the short peptides and their interactions with different membranes. This work has revealed a strong relationship among side chain structures, amphiphilicity and selective bioactivities of the short peptide amphiphiles.
Application Assisted Network Slice Selection Information at the Network Edge (2019)

Network slicing enables deployment of multiple virtual networks customized to different service and users using the same physical infrastructure. Network slice selection information may be configured in User Equipment (UE) and may be dynamically provided by the network. The paper presents an approach to open access to the slice update which enables applications deployed at Radio Access Network (RAN) to assist the UE in network slice selection during mobility management procedures. The application-based slice selection may consider the RAN congestion level and current radio conditions.
Intelligence dynamics (2006)

In the presentation, we will discuss what factors are important to realize an autonomous robot as a partner with humans. The classical Artificial Intelligence approach can be characterized by symbol representation and logic formula. Recently a new approach toward intelligence has been proposed by some research groups. The features of these approaches include embodiment and dynamical approach. We propose Intelligence Dynamics, which also addresses embodiment and dynamical approach, and further emphasize open-ended system to realize life long interaction between robots and humans.
3D event tracking using cross - probabilistic data association (XPDA) (1992)

Three-dimensional (3-D) seismic methods are playing an increasingly important role in exploration and production development, both at structural and reservoir level, due to their enhanced resolution capabilities. With the growing trend towards 3-D acquisition and processing, and the increased emphasis on interactive workstation interpretation, the need crises for a completely new generation of signal processing algorithms to provide faster, more accurate and more reliable processing of these large, high resolution data sets .
Zingerone as an Antioxidant against Peroxynitrite (2005)

Peroxynitrite (ONOO(-)), formed from the reaction of superoxide ((*)O(2)(-)) and nitric oxide ((*)NO), induces cellular and tissue injury, resulting in several human diseases such as stroke, Alzheimer's disease, and atherosclerosis. Due to the lack of endogenous enzymes responsible for ONOO(-) scavenging activity, finding a specific ONOO(-) scavenger is of considerable importance. In this study we examined the scavenging effects of zingerone from ginger against ONOO(-), intracellular RS (reactive species), and ONOO(-). The data show that zingerone can efficiently scavenge native ONOO(-) as well as ONOO(-) derived from the peroxynitrite donor 3-morpholinosydnonimine hydrochloride (SIN-1). Zingerone inhibited the formation of ONOO(-)-mediated tyrosine nitration through electron donation, nitration of bovine serum albumin (BSA) by ONOO(-), and intracellular RS and ONOO(-). The present study suggests that zingerone has an efficient ONOO(-) scavenging ability, which may be a potent ONOO(-) scavenger for the protection of the cellular defense activity against ONOO(-)- involved diseases.
Enhanced Rssi-Based High Accuracy Real-Time User Location Tracking System For Indoor And Outdoor Environments (2008)

Abstract Existing researches on location tracking focus either entirely on indoor or entirely on outdoor by using different devices and techniques. Several solutions have been proposed to adopt a single location sensing technology that fits in both situations. This paper aims to track a user position in both indoor and outdoor environments by using a single wireless device with minimal tracking error. RSSI (Received Signal Strength Indication) technique together with enhancement algorithms is proposed to cater this solution. The proposed RSSI-based tracking technique is divided into two main phases, namely the calibration of RSSI coefficients (deterministic phase) and the distance along with position estimation of user location by iterative trilateration (probabilistic phase). A low complexity RSSI smoothing algorithm is implemented to minimize the dynamic fluctuation of radio signal received from each reference node when the target node is moving. Experiment measurements are carried out to analyze the sensitivity of RSSI. The results reveal the feasibility of these algorithms in designing a more accurate real-time position monitoring system
Phase-insensitive zero-IF coherent optical system using phase switching (1988)

We present a simple technique wherein phase-insensitive zero-IF coherent optical detection is achieved by imposing a periodic phase modulation on the transmitted signal. With differential phase shift keying (DPSK), this can be achieved by adding a square wave to the phase modulator drive voltage. A single branch receiver is used, avoiding the doubling of receiver hardware needed with conventional phase diversity techniques. The performance of this scheme is analysed and compared to that of heterodyne DPSK.