Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of Rho A activity causes pemphigus skin blistering

The autoimmune blistering skin diseases pemphigus vulgaris (PV) and pemphigus foliaceus (PF) are mainly caused by autoantibodies against desmosomal cadherins. In this study, we provide evidence that PV–immunoglobulin G (IgG) and PF-IgG induce skin blistering by interference with Rho A signaling. In vitro, pemphigus IgG caused typical hallmarks of pemphigus pathogenesis such as epidermal blistering in human skin, cell dissociation, and loss of desmoglein 1 (Dsg 1)–mediated binding probed by laser tweezers. These changes were accompanied by interference with Rho A activation and reduction of Rho A activity. Pemphigus IgG–triggered keratinocyte dissociation and Rho A inactivation were p38 mitogen-activated protein kinase dependent. Specific activation of Rho A by cytotoxic necrotizing factor-y abolished all pemphigus-triggered effects, including keratin retraction and release of Dsg 3 from the cytoskeleton. These data demonstrate that Rho A is involved in the regulation of desmosomal adhesion, at least in part by maintaining the cytoskeletal anchorage of desmosomal proteins. This may open the possibility of pemphigus treatment with the epidermal application of Rho A agonists.
Epigenetic control of mobile DNA as an interface between experience and genome change

Mobile DNA in the genome is subject to RNA-targeted epigenetic control. This control regulates the activity of transposons, retrotransposons and genomic proviruses. Many different life history experiences alter the activities of mobile DNA and the expression of genetic loci regulated by nearby insertions. The same experiences induce alterations in epigenetic formatting and lead to trans-generational modifications of genome expression and stability. These observations lead to the hypothesis that epigenetic formatting directed by non-coding RNA provides a molecular interface between life history events and genome alteration.
Dual-Band Multipath Cluster Analysis of Small-Cell Backhaul Channels in an Urban Street Environment

Thanks to the large spectrum chunks available above 6-GHz bands, several centimeter-wave (cm-wave) and millimeter- wave (mm-wave) bands are being exploited for mobile communications to meet 5G high data speed and low latency requirements. The 5G standardization has been started with the channel modelling for the bands from 6 and up to 100 GHz, and the current models adapting the 3GPP stochastic cluster-based approach. This paper presents a recent measurement campaign and multipath cluster characterization of 15 and 28 GHz channels in an urban street canyon. The measurement environment and setup are targeted for small-cell backhaul scenarios, whose model parameters are currently lacking in current standardized channel models. Inter-cluster and intra-cluster characteristics are presented and compared between two measured frequency ranges. The results show that the number of MPCs per cluster is noticeable higher in 28 GHz, and that is mainly attributed by the higher measurement bandwidth in this band. The higher number of MPCs in 28 GHz leads to little wider cluster delay and angle spreads, while other model parameters are similar or just little varied with carrier frequency. The paper also provides other relevant cluster statistics required to establish 3GPP channel model for the scenario of interest in the 15 and 28 GHz bands.
Orthotopic Transplantation During Early Infancy as Therapy for Incurable Congenital Heart Disease

Since November 1985, 14 neonates and young infants have undergone orthotopic heart transplantation at Loma Linda University Medical Center (LLUMC) as therapy for hypoplastic aortic tract complex. Eleven (78%) survived surgery and are living and well today. Three perioperative deaths resulted: one due to perforated peptic ulcer, one due to necrotizing pneumonitis, and one due to graft failure unrelated to rejection. No late deaths occurred in the 1–29 months of follow-up, during which time noninvasive surveillance techniques were used. Immunosuppression was accomplished using cyclosporine and azathioprine. Steroids and antithymocyte globulin were used for identified rejection episodes only. Ordinary childhood infections were tolerated well. All survivors were normotensive. There was no late renal dysfunction. Although inadequate donor resources remain a significant limiting factor for transplantation therapy during early life, these results suggest that cardiac transplantation is effective therapy for selected neonates and young infants with incurable congenital heart disease.
A Place for Consciousness: Probing the Deep Structure of the Natural World

What place does consciousness have in the natural world? If we reject materialism, could there even be a credible alternative? In A Place for Consciousness, Rosenberg addresses the causal role of consciousness in the world from an anti-physicalist perspective. Introducing a new paradigm called Liberal Naturalism, he offers a profound framework that proposes a deep link between consciousness and causation. Using this framework, he undercuts the logic of the historical debate and deflates the question of causality that physicalists have long been posing to anti-physicalists. Ultimately, he gives consciousness a causally important role without supposing either that it is physical or that it interacts with the physical.
Expanding object detector's Horizon: Incremental learning framework for object detection in videos

Over the last several years it has been shown that image-based object detectors are sensitive to the training data and often fail to generalize to examples that fall outside the original training sample domain (e.g., videos). A number of domain adaptation (DA) techniques have been proposed to address this problem. DA approaches are designed to adapt a fixed complexity model to the new (e.g., video) domain. We posit that unlabeled data should not only allow adaptation, but also improve (or at least maintain) performance on the original and other domains by dynamically adjusting model complexity and parameters. We call this notion domain expansion. To this end, we develop a new scalable and accurate incremental object detection algorithm, based on several extensions of large-margin embedding (LME). Our detection model consists of an embedding space and multiple class prototypes in that embedding space, that represent object classes; distance to those prototypes allows us to reason about multi-class detection. By incrementally detecting object instances in video and adding confident detections into the model, we are able to dynamically adjust the complexity of the detector over time by instantiating new prototypes to span all domains the model has seen. We test performance of our approach by expanding an object detector trained on ImageNet to detect objects in egocentric videos of Activity Daily Living (ADL) dataset and challenging videos from YouTube Objects (YTO) dataset.
K-Anonymity Based on Sensitive Tuples

K-anonymity is one simple and efficient method to achieve sensitive data protected in data sharing application. The traditional k-anonymity techniques, however, have all tuples of publishing database involve in anonymity generalize which lead to reduce the precision of publishing table. This paper firstly proposes a Naïve Sensitive Tuple Anonymity Method. In this method only sensitive tuples are generalized, and the other tuples can be directly published. In order to improve the security of publish data, after the sensitive tuples were anonymized, we selected some proportion non-sensitive tuples anonymized and imported into corresponding sensitive tuple anonymity group, which can guarantee the density of the sensitive tuples satisfied with equal to 1/m in every anonymity group. Experiment results on the Adult Database show the proposed methods not only can improve the accuracy of the releasing data, but also can preserve privacy. The algorithm is effective and efficient.
Recruiting in public places : A strategy to increase diversity in qualitative research samples

For some research projects, recruiting in public places is an invaluable addition to sampling strategies. It complements the more traditional recruitment strategies by providing researchers with' opportunities to include people in the research who would otherwise be excluded. One of the limitations of selective and snowball sampling is that participants often come from the same social group. Participants from these social groups often share similar experiences and ways of thinking about those experiences. The aim of recruiting in public places is to move beyond this 'in group' to ensure a wider perspective. This paper illustrates how recruiting in public places can provide greater sample diversity for theoretical strength. The paper begins with a brief overview of recruiting in public places. It then describes the theoretical considerations associated with this recruiting strategy. The paper demonstrates how recruiting in public places facilitates grounded theory by providing comparisons that are informed by diverse experiences. Using examples and a case study, we illustrate how recruiting in public places can complement selective, snowball and theoretical sampling to ensure a more comprehensive sample.
The Effects of an In‐Season of Concurrent Training on the Maintenance of Maximal Strength and Power in Professional and College‐Aged Rugby League Football Players

Fourteen professional (NRL) and 15 college-aged (SRL) rugby league players were observed during a lengthy in-season period to monitor the possible interfering effects of concurrent resistance and energy-system conditioning on maximum strength and power levels. All subjects performed concurrent training aimed at increasing strength, power, speed, and energy-system fitness, as well as skill and team practice sessions, before and during the in-season period. The SRL group significantly improved 1 repetition maximum bench press (1RM BP) strength, but not bench throw (BT Pmax) or jump squat maximum power (JS Pmax) over their 19-week in-season. The results for the NRL group remained unchanged in all tests across their 29-week in-season. The fact that no reductions in any tests for either group occurred may be due to the prioritization, sequencing, and timing of training sessions, as well as the overall periodization of the total training volume. Having athletes better conditioned to perform concurrent training may also aid in reducing the possible interfering effects of concurrent training. Correlations between changes in 1RM BP and BT Pmax suggest differences in the mechanisms to increase power between stronger, more experienced and less strong and experienced athletes.
Digital Signal Processing Methodologies for Conventional Digital Medical Ultrasound Imaging System

Ultrasound imaging is an efficient, noninvasive, method for med ical diagnosis. A commonly used approach to image acquisition in ultrasound system is digital beamforming. Digital beamforming, as applied to the medical ultrasound, is defined as phase align ment and summation of signals that are generated fro m a co mmon source, by received at different times by a mu lti-elements ultrasound transducer. In this paper first: we tested all signal processing methodologies for digital beamforming which included: the effect of over samp ling techniques, single trans mit focusing and their limitations, the apodization technique and its effect to reduce the sidelobes, the analytical envelope detection using digital finite impulse response (FIR) filter appro ximations for the Hilbert transformat ion and how to co mpress the dynamic range to achieve the desired dynamic range for display (8 bits). Here the image was reconstructed using physical array elements and virtual array elements for linear and phase array probe. The results shown that virtual array elements were given well results in linear array image reconstruction than physical array elements, because it provides additional number of lines. Ho wever, physical array elements shown a good results in linear phase array reconstruction (steering) than virtual array elements, because the active elements number (Aperture) is less than in physical array elements. We checked the quality of the image using quantitative entropy. Second: a modular FPGA-based 16 channel digital u ltrasound beamforming with embedded DSP for ultrasound imaging is presented. The system is imp lemented in Virtex-5 FPGA (Xilin x, Inc.). The system consists of: tw o 8 channels block, the DSP wh ich co mposed of the FIR Hilbert filter bl ock to obtain the quadrature components, the fractional delay filter block (in-phase filter) to co mpensate the delay when we were used a high FIR order, and the envelope detection block to compute the envelope of the in-phase and quadrature components. The Hilbert filter is imp lemented in the form whereby the zero tap coefficients were not computed and therefore an order L filter used only L/2 mu ltiplications. This reduced the computational time by a half. Fro m the implementation result the total estimated power consumption equals 4732.87 mW and the device utilization was acceptable. It is possible for the system to accept other devices for further processing. Also it is possible to build 16-,32-, and 64-channel beamformer. The hardware architecture of the design provided flexib ility for beamforming.
Efficiency, Robustness and Accuracy in picky Chart Parsing

This paper describes Picky, a probabilistic agenda-based chart parsing algorithm which uses a technique called probabilistic prediction to predict which grammar rules are likely to lead to an acceptable parse of the input. Using a suboptimal search method, Picky significantly reduces the number of edges produced by CKY-like chart parsing algorithms, while maintaining the robustness of pure bottom-up parsers and the accuracy of existing probabilistic parsers. Experiments using Picky demonstrate how probabilistic modelling can impact upon the efficiency, robustness and accuracy of a parser.
A 5-level efficient IFPWM power coding approach encoding LTE for class-S digital-RF transmitter with distortion correction

In this work, for the first time we propose a multi-level intermediate frequency pulse width modulation (ML-IFPWM) power coding approach to generate a high speed pulse train as input of GHz class-S switch-mode PA in the digital-RF transmitter. The key feature of a high power coding efficiency of 68.5% from a 5-level digitally implemented discrete-time (DT)-PWM quantizer encoding 20-MHz LTE signal (PAR of 10.25-dB) is verified by simulation. Unlike the traditional RFPWM, this new power coding process taking place at IF frequency of 100 MHz, offers a higher over-sampling ratio thus resulting in an improved output spectrum purity. In addition, a look-up-table based linearization unit is introduced in the digital-RF transmitter architecture to specifically correct the distortion caused by the nonlinear transformation of power encoder. To the author's knowledge, this is the most efficient power coding approach in a digital implementation reported so far encoding 20-MHz LTE at 2 GHz with low EVM of 4.1%.
Automated Linear Function Submission-based Double Auction for Emergent Real-Time Pricing in a Regional Smart Grid

A linear function submission-based double-auction (LFS-DA) mechanism for a regional electricity network is proposed in this paper. Each agent in the network is equipped with a battery and a generator. Each agent simultaneously becomes a producer and consumer of electricity, i.e., a prosumer and trades electricity in the regional market at a variable price. In the LFS-DA, each agent uses linear demand and supply functions when they submit bids and asks to an auctioneer in the regional market.The LFS-DA can achieve an exact balance between electricity demand and supply for each time slot throughout the learning phase and was shown capable of solving the primal problem of maximizing the social welfare of the network without any central price setter, e.g., a utility or a large electricity company, in contrast with conventional real-time pricing (RTP). This paper presents a clarification of the relationship between the RTP algorithm derived on the basis of a dual decomposition framework and LFS-DA. Specifically, we proved that the changes in the price profile of the LFS-DA mechanism are equal to those achieved by the RTP mechanism derived from the dual decomposition framework except for a constant factor.
The Relationship between Organizational Justice and Burnout in Professional Life: A Research on Police Officers

Burnout, also called occupational exhaustion, affects the health and productivity of employees. Burnout is defined as emotional exhaustion and depersonalization and sense of low personal success. Burnout experienced by employees could be effected by the opinion of organizational justice. Opinion of organizational justice is one organizational factor affecting employeesâ€™ attitudes and behaviors towards their work within the organization and their environment. This research identifies, in the scope of between organizational justice and burnout in professional life, burnout employees experience related to emotional exhaustion, depersonalization and personal achievement. To achieve this objective, data got from face-toface surveys with 100 police officers were evaluated. The research part consists of an application to measuring burnout between organizational justice and burnout in work life. Findings show a significant correlation between the view of justice and burnout in work life
Evaluation of low power listening MAC protocol on network monitoring in wireless sensor networks

Addition of network monitoring process usually leads to higher power consumption since more diagnosis information needs to be exchanged throughout the network. Low Power Listening (LPL) provides a mechanism to prolong the network's lifetime. In this work, we evaluate the impact of LPL on the performance of the network monitoring schemes in WSNs. ContikiMAC is used as the LPL mechanism. Centralized and distributed monitoring approaches are both evaluated. Simulation results indicate that while the LPL mechanism helps reduce power consumption significantly in both schemes, even more reduction can be achieved using the distributed approach. In addition, detection accuracy of both schemes is not significantly different. This outcome emphasizes that, with LPL enabled, a distributed approach for network monitoring should be considered when power consumption is a criterion.
A System for Distributed Mechanisms: Design, Implementation and Applications

AbstractWe describe here a structured system for distributed mechanism design appro-priate for both Intranet and Internet applications. In our approach the playersdynamically form a network in which they know neither their neighbours nor thesize of the network and interact to jointly take decisions. The only assumption con-cerning the underlying communication layer is that for each pair of processes thereis a path of neighbours connecting them. This allows us to deal with arbitrarynetwork topologies.We also discuss the implementation of this system which consists of a sequenceof layers. The lower layers deal with the operations that implement the basic prim-itives of distributed computing, namely low level communication and distributedtermination, while the upper layers use these primitives to implement high levelcommunication among players, including broadcasting and multicasting, and dis-tributed decision making. This yields a highly exible distributed system whosespeci c applications are realized as instances of its top layer. This design is imple-mented in Java.The system supports at various levels fault-tolerance and includes a provisionfor distributed policing the purpose of which is to exclude ‘dishonest’ players. Also,it can be used for repeated creation of dynamically formed networks of players inter-ested in a joint decision making implemented by means of a tax-based mechanism.We illustrate its exibility by discussing a number of implemented examples.
Impact on inventory costs with consolidation of distribution centers

The consolidation of Distribution Centers (DCs) is a new trend in global logistics management, with a reduction in inventory costs often being cited as one of the main benefits. This paper uses an analytical modeling approach to study the impact on facility investment and inventory costs when several DCs are consolidated into a central DC. In particular, our model suggests that consolidation leads to lower total facility investment and inventory costs if the demands are identically and independently distributed, or when they follow independent but possibly nonidentical Poisson processes. This agrees with the conclusion of the classical EOQ and newsvendor models. However, we show by an example that, for general stochastic demand processes, the total facility investment and inventory costs of a consolidated system can be infinitely worse off than that of a decentralized system. This arises mainly because the order replenishment fixed cost yields a cost component proportional to the square root of the mean value of the demand, while the demand uncertainty yields a cost component proportional to the standard deviation of the demand. Whether consolidation is cost effective or not depends on the trade-off between these two components, as indicated by an extensive numerical study. We also propose an algorithm that solves for a distribution system with the total facility investment and inventory costs within √2 of the optimal.
Diversity reception over generalized-K (KG) fading channels

A detailed performance analysis for the most important diversity receivers operating over a composite fading channel modeled by the generalized-K (Kg) distribution is presented. The Kg distribution has been recently considered as a generic and versatile distribution for the accurate modeling of a great variety of short term fading in conjunction with long term fading (shadowing) channel conditions. For this relatively new composite fading model, expressions for important statistical metrics of maximal ratio combining (MRC), equal gain combining (EGC), selection combining (SC) and switch and stay combining (SSC) diversity receivers are derived. Using these expressions and by considering independent but not necessarily identical distributed fading channel conditions, performance criteria, such as average output signal-to-noise ratio, amount of fading and outage probability are obtained in closed form. Moreover, following the moments generating function (MGF) based approach for MRC and SSC receivers, and the Pade approximants method for SC and EGC receivers, the average bit error probability is studied. The proposed mathematical analysis is complemented by various performance evaluation results which demonstrate the accuracy of the theoretical approach.