Miracle-dz/UniFAR-FTUs huggingface dataset:
One-shot Learning Gesture Recognition Based on Evolution of Discrimination with Successive Memory

In this paper, a one-shot learning gesture recognition algorithm based on evolution of discrimination with successive memory is presented, which utilizes the transferability of large-scale pre-trained DNN (Deep Neural Network) gesture recognition model and distance discrimination to carry out high-performance recognition with evolutionary discrimination. Our scheme can be narrated as follows. Firstly, a DNN gesture recognition model is proactively trained by a sample set with 19 classes of BSG dataset as a transferable model with its powerful extractor of features. Secondly, the transferable capacity of extractor is employed to extract features of labeled root samples and test samples respectively towards one-shot learning gesture recognition so as to achieve a high performance feature extraction and structured arraying. Finally, the discriminative recognition can be carried out with Euclidean distance measure between the root features and test features. Meanwhile a mechanism of updating and evolution of root features memory is built and utilized for one-shot learning gesture recognition so as to enhance the performance of recognition. A kind of software for online one-shot learning gesture recognition towards practical applications is designed and developed to achieve outstanding performance with fast response speed and high recognition accuracy. A series of experiments on the additional 10 classes of BSG dataset are conducted to verify and validate the performance advantages of our proposed one-shot learning gesture recognition algorithm.
Stochastic Payment Cost Minimization in Energy Markets with High Penetration of Renewables

Offer Cost Minimization (OCM) auction mechanism is the most applied mechanism in wholesale energy markets and is supported by the well-known economic theory of social welfare maximization, if the rates offered by the service providers reflect their real costs. However, the strategic behavior of the providers in submitting their offers invalidates application of such mechanism. Payment Cost Minimization (PCM) mechanism can alternatively be applied. Unlike OCM, PCM is quite consistent with the widely accepted marginal pricing scheme, since the consumers' payment is directly minimized. In this paper, the economic aspects of the current PCM mechanisms are first revised. A novel stochastic framework is then developed to incorporate the uncertainties associated with Renewable Energy Sources (RES) in this mechanism when applied for electricity market clearing. The proposed formulation of energy and reserve marginal prices suits the stochastic PCM framework. The problem is linearized and solved using branch and cut method. The proposed method is validated in different studies.
Orexin receptor antagonists for the treatment of insomnia and potential treatment of other neuropsychiatric indications

In this review, we outline the role of orexin receptor antagonists in disorders of sleep/wake and other potential neuropsychiatric conditions, with a focus on suvorexant, which is currently the only approved agent in this class. The efficacy of suvorexant was established in Phase 2–3 trials with treatment durations ranging from 1 to 12 months in patients with insomnia. Suvorexant is effective at improving sleep assessed by patient self‐report and by polysomnography, with generally little effect on underlying sleep architecture. The main side‐effect is next day somnolence. With the growing realization of the important connections between sleep and other disorders, studies are ongoing to explore this novel mechanism in other disorders such as Alzheimer's disease and depression.
Analytical Determination of Optimal PM-Arc Ratio of Consequent-Pole Permanent Magnet Machines

This paper analytically derives the optimal permanent magnet (PM) arc ratio of the consequent-pole PM (CPM) machines to improve the utilization of rare earth PM material and maximize the output torque. The relationship between the output torque and the PM-arc ratio is established. Moreover, the optimal PM-arc ratio is analytically derived and confirmed by finite element (FE) analysis. It is found that the optimal PM-arc ratio is determined by the ratio of the airgap length to the PM thickness, and its influence on the optimal PM-arc ratio is investigated as well. The electromagnetic performances of the CPM machine with the optimal PM-arc ratio, including the open-circuit airgap flux density, the back EMFs, the average torque, and the torque ripple, are compared with those of the conventional surface-mounted PM (SPM) machine. It is demonstrated that the CPM machine with optimal PM-arc ratio features 33% reduction of PM volume and its torque ripple is almost unchanged compared with the conventional SPM machine. Although the output torque is decreased by 8%, the torque per PM volume is improved by 38%. Finally, a 12-slot/10-pole CPM machine is prototyped and tested to validate the analyses.
An Overview of Smart Contract and Use Cases in Blockchain Technology

In the last decade blockchain technology become mainstream research topic because of its decentralized, peer to peer transaction, distributed consensus, and anonymity properties. The blockchain technology overshadows regulatory problem and technical challenges. A smart contract is a set of programs which are self-verifying, self-executing and tamper resistant. Smart contract with the integration of blockchain technology capable of doing a task in real time with low cost and provide a greater degree of security. This paper firstly, explains the various components and working principle of smart contract. Secondly, identify and analyse the various use cases of smart contract along with the advantage of using smart contract in blockchain application. Lastly, the paper concludes with challenges lie in implementing smart contract the future real-life scenario.
Ready or Not: Examining Self-Reported Readiness for Behavior Change at Intake Assessment for Adults With an Eating Disorder

We explored whether a single-item self-report measure (i.e., the Readiness Ruler) was an appropriate measure of treatment engagement in adult outpatients with eating disorders. In total, 108 women diagnosed with an eating disorder completed the Readiness Ruler and measures of symptom severity at intake to a hospital-based outpatient treatment program. Treatment engagement was operationalized as attendance to a minimum of one session of a cognitive-behavioral therapy (CBT) treatment group, the number of CBT group sessions attended, and whether the participants dropped out of the CBT group prematurely. Results suggest that the Readiness Ruler was not associated with attending the CBT group. Among the participants who attended the program, the Readiness Ruler was not associated with the number of CBT group sessions attended or CBT group dropout. Higher Readiness Ruler score was associated with more severe symptomatology. In conclusion, the Readiness Ruler may not be a good predictor of CBT group treatment engagement for individuals with eating disorders and may instead be a proxy for symptom severity.
A Real-Life Application of an Efficient Energy Management Method for a Local Energy System in Presence of Energy Storage Systems

In the last years, the use of energy storage systems, to allow greater renewable sources integration especially for local energy systems, is significantly increasing. Opportune energy management methods have to be implemented for an efficient use of those energy storage systems. In this paper, an efficient energy management method, proposed by the authors in a previous paper, is briefly discussed and a real-life application, realized in the Campus of University of Calabria, is presented. The proposed energy management method is used in order to reduce power peaks on the grid, to reduce the energy exchanged with the grid and the power imbalances.
Unraveling the role of B cells in the pathogenesis of an oncogenic avian herpesvirus

Significance Marek’s disease virus (MDV) infects chickens and causes the most frequent clinically diagnosed cancer in the animal kingdom, and it is used as a small-animal model for virus-induced tumor formation. Until now, B cells were thought to play a central role in MDV pathogenesis. We disproved this dogma using knockout (KO) chickens that lack mature and peripheral B cells. We demonstrated that B cells are dispensable for virus replication, virus spread, and tumor formation. In the absence of B cells, T cells facilitate efficient virus replication and are subsequently transformed, resulting in deadly lymphomas. Our data pioneer the use of KO chickens in infectious disease research and expand the knowledge on the life cycle of this highly oncogenic virus. Marek’s disease virus (MDV) is a highly oncogenic alphaherpesvirus that causes immunosuppression, paralysis, and deadly lymphomas in chickens. In infected animals, B cells are efficiently infected and are thought to amplify the virus and transfer it to T cells. MDV subsequently establishes latency in T cells and transforms CD4+ T cells, resulting in fatal lymphomas. Despite many years of research, the exact role of the different B and T cell subsets in MDV pathogenesis remains poorly understood, mostly due to the lack of reverse genetics in chickens. Recently, Ig heavy chain J gene segment knockout (JH-KO) chickens lacking mature and peripheral B cells have been generated. To determine the role of these B cells in MDV pathogenesis, we infected JH-KO chickens with the very virulent MDV RB1B strain. Surprisingly, viral load in the blood of infected animals was not altered in the absence of B cells. More importantly, disease and tumor incidence in JH-KO chickens was comparable to wild-type animals, suggesting that both mature and peripheral B cells are dispensable for MDV pathogenesis. Intriguingly, MDV efficiently replicated in the bursa of Fabricius in JH-KO animals, while spread of the virus to the spleen and thymus was delayed. In the absence of B cells, MDV readily infected CD4+ and CD8+ T cells, allowing efficient virus replication in the lymphoid organs and transformation of T cells. Taken together, our data change the dogma of the central role of B cells, and thereby provide important insights into MDV pathogenesis.
Novel Microwave Rectifier Optimizing Method and Its Application in Rectenna Designs

In this paper, a fast converging and computationally efficient iterative method for rectifier optimization is proposed. The method is carried out in the advance design system. By taking into account the interaction between the received power and output performance, the impedance of the Schottky diode when operating optimally in the rectifier can be precisely obtained once the spice model, operating frequency, and the dc load value are given. The impedance can be used to design the matching to minimize the insertion loss. The time and effort needed for the method are smaller than the optimizing tools provided in ADS and other related works, and the reliability of simulation is enhanced. For demonstration, a compact rectifier operating at 5.81 GHz is optimized, fabricated, and measured. The measured power conversion efficiency exceeds 40% at input power level ranging from −5.5 to 12.5 dBm, and the optimum reaches 69.4% at 8.2 dBm. Good agreement can be found between simulated and measured data. Finally, the rectifier is integrated with a high-efficiency antenna to form a rectenna design; 69.2% optimal efficiency is obtained at 0.41 mW/cm2 power density in the measurement.
A Robust and Improved Visual Quality Data Hiding Method for HEVC

This paper presents a novel and robust data hiding method based on <italic>H.265</italic>/High Efficiency Video Coding (<italic>HEVC</italic>) standard. To improve the robustness of data hiding, the embedded data are first encoded into the encoded data by using the <italic>BCH</italic> syndrome code (<italic>BCH code</italic>) technique. To improve the visual quality of data hiding, three groups of the prediction directions are provided to limit the intra-frame distortion drift. Then, the encoded data are embedded into the multi-coefficients of the selected <inline-formula> <tex-math notation="LaTeX">$4 \times 4$ </tex-math></inline-formula> luminance discrete sine transform blocks, which meet the groups. It is experimentally proven that the proposed method can achieve greater robustness, better visual quality, and higher embedding capacity than previously studied methods.
Differential associations of knowing and liking with accuracy and positivity bias in person perception.

A great range of person perception phenomena may be conceptualized in terms of how much perceivers know about the targets, how much they like the targets, and how these factors relate to the extent to which target descriptions reflect actual target characteristics and/or evaluative bias. We present a comprehensive empirical analysis of this interplay in two studies, the second (targets: N = 189, informants: N = 1352) being a preregistered replication of the first (targets: N = 73, informants: N = 549). Using multilevel profile analyses, we investigated how liking and knowing are differentially associated with judgments' normative accuracy (i.e., reflecting actual characteristics of the average target), distinctive accuracy (i.e., reflecting actual characteristics of specific targets), and positivity bias. Statistical effects were largely consistent across two independent validation measures (self-ratings vs. peer-ratings of personality) and across the two studies. Despite being positively correlated with one another, liking and knowing had opposing effects on person judgments: Knowing targets better was associated with greater distinctive and normative accuracy, and with lower positivity bias. In contrast, liking targets more was associated with lower distinctive and normative accuracy, but with greater positivity bias. The findings suggest that person judgments tend to reflect actual target characteristics as well as evaluative bias, and that the relative extents to which they do are predictable from what the perceivers say about their relationships with the targets (i.e., knowing and liking). Directions for future research are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Improved membrane sequencing batch reactor: effect of carbon and nitrogen volumetric loading rate on dephosphatation

ABSTRACT A lab-scale anaerobic–anoxic–aerobic membrane bioreactor (A2NO-MBR) fed with synthetic wastewater was operated to investigate the impact of influent carbon and nitrogen volumetric loading rate (VLR) on dephosphatation, and the corresponding influent concentration was 100–300 mg L−1 (COD), 24–50 mg L−1 (NH4 +–N) and 4.8–6.0 mg L−1 (TP), respectively. The results demonstrated that carbon VLR had a negligible effect on the COD removal with effluent below 50 mg L−1, and high and stable removal capacity for phosphorus were also obtained, regardless of carbon VLR change. Whereas TN removal efficiency was positively correlated with carbon VLR reduction, and lower carbon VLR produced a negative effect on TN removal. In addition, since nitrate served as an electron acceptor for denitrifying phosphorus removal (DPR), a significant effect on nitrogen and phosphorus removal was observed with different nitrogen VLR. The TN and TP removal efficiency was 68.30 ± 1.36%, 70.70 ± 1.23%, 45.19 ± 1.72% and 41.63 ± 3.09%, 98.14 ± 0.53%, 53.34 ± 2.68% with influent nitrogen VLR of 0.024 ± 0.001, 0.034 ± 0.001 and 0.045 ± 0.001 kg-N/(m3 d), respectively. Moreover, bacterial community structure of sludge samples in Run I and V from anaerobic–anoxic–aerobic-SBR (named A2OSBR_1 and A2OSBR_2) and membrane bioreactor (named N-MBR_1 and N-MBR_2) revealed that Candidatus_Accumulibacter was the most dominant genus in A2OSBR_1 (21.50%) and A2OSBR_2 (18.98%). The relative lower carbon VLR favoured the enrichment of Saprospiraceae, which was related with DPR, with the proportion of 9.31% and 14.61% in A2OSBR_1 and A2OSBR_2. Besides, Nitrospira and Nitrosomonas with proportions of 11.14%, 5.38% in N-MBR_1 and 10.72%, 6.77% in N-MBR_2 were observed, which were likely responsible for the nearly complete nitrification. GRAPHICAL ABSTRACT
PML/RARa blocks the differentiation and promotes the proliferation of acute promyelocytic leukemia through activating MYB expression by transcriptional and epigenetic regulation mechanisms

The promyelocytic leukemia (PML)/retinoic acid receptor‐alpha (RARα) onco‐fusion protein that is generated from t(15;17) chromosome translocation is crucial for the leukemogenesis of acute promyelocytic leukemia (APL) and is well documented as a transcriptional repressor. To understand the relationship between PML/RARα and the oncogene in the development of APL, we investigate the regulation mechanism of PML/RARα to MYB proto‐oncogene and the role of this regulation on the proliferation and differentiation of APL cells. Reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR) assays show that MYB expression was significantly higher in PML/RARα positive cell lines. Microarray data verify that the MYB expression was significantly higher in APL patient samples than in normal promyelocyte samples. Further expression analysis from RT‐qPCR and microarray data verifies that the expression of MYB is upregulated by PML/RARα. Transcriptional factor binding analysis shows that MYB is directly bound by PML/RARα and its cofactors. Luciferase assays show that PML/RARα transactivated MYB promoter activity through the RARα binding site and the coexistence of CCAAT enhancer binding protein ε. We also find that PML/RARα increases the acetylation level of the promoter region of MYB. Further evidence demonstrates that PML/RARα regulates MYB expression through long‐range interaction. Functionally, PML/RARα increases the cell proliferation and blocks the differentiation through activating MYB expression. Collectively, this study uncovers a novel mechanism of PML/RARα‐mediated transcriptional activation and enriches our knowledge of the onco‐fusion protein‐mediated transcription activation.
Novel Ultra-Wide Band (10 MHz–26 GHz) Permeability Measurements for Magnetic Films

A new RF magnetic measurement system is proposed to detect complex permeability of magnetic films, of which the measurable frequency range has been demonstrated but not limited to 10 MHz–26 GHz. The system is based on a simple microwave generator and lock-in detection setup. The signal-to-noise ratio (SNR) is enhanced by the lock-in detection technique. Measurements of ferromagnetic resonance and complex permeability on a thick FeGaB film (30 nm) and an ultra-thin NiFe (2 nm) were presented to demonstrate the wider frequency capability and higher SNR as compared with the best available permeameter.
Prognostic value of ErbB2/HER2 in human meningiomas

Introduction Among clinical challenges regarding human meningiomas is their propensity to recur even in cases with benign histology. Reliable biomarkers that can identify these cases are therefore highly desired. ErbB2/HER2 status is important in the medical management of patients with various human malignancies, whereas its clinical relevance in human meningiomas is ambiguous. For this reason, we wanted to investigate the expression of intra- and extracellular domains of ErbB2/HER2 as well as the level of activated receptor in these tumors. Further, we wanted to elucidate any clinicopathological associations to antibody expression and if gene amplification was present. Methods In total, 186 human meningiomas of all malignancy grades were included in the study, 163 of these were in tissue microarrays (TMA). Antibody expression was assessed by means of immunohistochemistry (IHC) and gene amplification by fluorescence in situ hybridization (FISH). Results All cases were immunoreactive with antibodies targeting the intracellular domain, whereas about 48% and 11% were positive with antibodies against the extracellular domain and against the activated receptor, respectively. Normal meninges were not immunoreactive. There were no relations to malignancy grade, and only the activated receptor was significantly correlated with increased risk for recurrence or death (time to recurrence: HR 1.568, CI (1.153 to 2.132), p = 0.004). No gene amplification was found. Conclusion ErbB2/HER2 is generally upregulated in human meningiomas, but in an activated state only in a few cases. Only the activated receptor is associated with poorer prognosis, a link that needs further investigations.
Physical Layer Authentication Enhancement Using a Gaussian Mixture Model

Wireless networks strive to integrate information technology into every corner of the world. This openness of radio propagation is one reason why holistic wireless security mechanisms only rarely enter the picture. In this paper, we propose a physical (PHY)-layer security authentication scheme that takes advantage of channel randomness to detect spoofing attacks in wireless networks. Unlike most existing authentication techniques that rely on comparing message information between the legitimate user and potential spoofer, our proposed authentication scheme uses a Gaussian mixture model (GMM) to detect spoofing attackers. Probabilistic models of different transmitters are used to cluster messages. Furthermore, a 2-D feature measure space is exploited to preprocess the channel information. Training data for a spoofer operating through an unknown channel, a pseudo adversary model is developed to enhance the spoofing detection performance. Monte Carlo simulations are used to evaluate the detection performance of the GMM-based PHY-layer authentication scheme. The results show that the probability of detecting a spoofer is higher than that obtained using similar approaches.
Transcriptional Regulation of the Immune Receptor FLS2 Controls the Ontogeny of Plant Innate Immunity

miR172b regulates the transcription of FLS2 through TARGET OF EAT1 (TOE1) and TOE2, which governs the ontogeny of plant innate immunity. Innate immunity plays a vital role in protecting plants and animals from pathogen infections. Immunity varies with age in both animals and plants. However, little is known about the ontogeny of plant innate immunity during seedling development. We report here that the Arabidopsis (Arabidopsis thaliana) microRNA miR172b regulates the transcription of the immune receptor gene FLAGELLIN-SENSING2 (FLS2) through TARGET OF EAT1 (TOE1) and TOE2, which directly bind to the FLS2 promoter and inhibit its activity. The level of miR172b is very low in the early stage of seedling development but increases over time, which results in decreased TOE1/2 protein accumulation and, consequently, increased FLS2 transcription and the ontogeny of FLS2-mediated immunity during seedling development. Our study reveals a role for the miR172b-TOE1/2 module in regulating plant innate immunity and elucidates a regulatory mechanism underlying the ontogeny of plant innate immunity.