Miracle-dz/UniFAR-FTUs huggingface dataset:
Polymerase chain reaction-based methods for the detection of heat-resistant ascomycetous fungi

There is increasing incidence of food spoilage and health hazards caused by heat-resistant fungi belonging to the genera Byssochlamys, Thermoascus, and Neosartorya, among others. Their ascospores cannot be sterilized by heating the food. The microbiological risk assessment studies of these fungi during the production of food and beverages indicated that these fungal species or genera in food are associated with different health risks. Therefore, it is necessary to distinguish Byssochlamys, Thermoascus, and Neosartorya from other fungi in the food industry. These genera can be identified by sequence analysis of housekeeping genes such as β-tubulin, but the process is costly and time-consuming. Therefore, rapid and simple PCR-based methods have been developed using specific primer sets for genus- or species-level identification. PCR amplification products are observed to be specific for each of these genera or species and do not cross-react with other fungi associated with food spoilage and environmental contamination. These identification methods are simple, rapid, and highly specific, making them feasible for use in the quality management of food production plants.
Wavelet based motion compensated filtering of color video sequences

In this paper, we propose an advanced wavelet domain denoising scheme for the Gaussian noise reduction in color video. In the proposed method, we perform the wavelet transform of the luminance component (Y) in full resolution and the wavelet transform of chrominance information (U and V) in a subsampled resolution (2:1) in order to extract edges belonging to luminance and chrominance gradients (in horizontal and vertical directions). We use the low-pass (approximation) subbands of the chrominance channels together with detail (wavelet) bands for recursive motion estimation and adaptive temporal filtering. The final part of the proposed filter is a spatial filter out of the recursive loop. The noise level is monitored and detected automatically, by the gradient histogram approach for each channel separately and the estimated noise variance is used for adapting the algorithm. The results on color video show good video denoising performance for different noise levels. In comparison to the other color video denoising methods, the method performs better both from subjective (visually) and objective point of view. Also, the estimated motion vector field is quite robust against noise and this is useful in other applications such as tracking.
Single-crystal silicon: a new material for 1.3 and 1.6 μm integrated-optical components

The first all-silicon integrated-optical components for 1.3/1.6 μm have been demonstrated. An optical power divider with end-fire coupling was constructed from intersecting channel waveguides. Guides were fabricated by plasma-etching of an intrinsic Si layer grown epitaxially on a heavily doped Si substrate (n on n + or p on p + ). Active components are proposed.
A Note on a Longitudinal and Torsional Type of Ultrasonic Motor with two Stators

This paper deals with an ultrasonic motor, which consist of one rotor and two stators. The main parts of each stator are one longitudinal and one torsional piezoceramic actuator, which are used to generate the desired elliptical orbit on the stator surface. For the purpose of a high efficiency, the longitudinal and the torsional resonant frequency should ideally coincide with the operational frequency. To match the resonant frequencies, two adjustable rings are added to the stators. The influence of the mass and the position of the rings on the first longitudinal and the first torsional eigenfrequency and their mode shapes is investigated. The experimental results fit very well with the theoretical predictions and show that the adjusting rings can be used to match the eigenfrequencies of the two mode shapes. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Preliminary Assessment of Safety and Tolerability of Avacopan During the Early Access Program for ANCA-Associated Vasculitis

Introduction Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a heterogeneous group of rare, life-threatening, systemic autoimmune disorders characterized by necrotizing vasculitis that predominantly affects the small bloodto medium-sized vessels. Patients with ANCA vasculitis experience side effects from immunosuppression used to achieve disease remission, notably from long-term use of glucocorticoids. Both a Phase 2 trial (CLEAR) and a Phase 3 pivotal trial (ADVOCATE) have demonstrated the potential for avacopan to reduce steroid use in patients with newly diagnosed or relapsing severe ANCA-associated vasculitis while maintaining efficacy and safety. Avacopan is an orally administered small-molecule C5a receptor (C5aR) antagonist that selectively blocks the effects of C5a through the C5aR, including blocking neutrophil chemoattraction and activation. Most recently, avacopan has been approved by the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) for the treatment of ANCAassociated vasculitis. In between the completion of the ADVOCATE study (2019) and the approval of regulatory agencies, 30 patients with a high unmet medical need have been treated with avacopan through the Early Access Program (EAP). Eligible for the EAP were patients with new or relapsing lifeor organ-threatening ANCA-associated vasculitis, requiring an induction treatment, who also had a high risk of steroid-related complications.
Expressions of futurity in contemporary English: a Construction Grammar perspective

This article describes and analyses five different ways of expressing futurity in English (shall/will, be going to, be to, the simple present and the present progressive) in a Construction Grammar framework. It suggests that the different expressions can be captured as an onomasiologically motivated family of constructions in which the single constructions are differentiated by complex co- and contextual configurations. The latter can be elegantly captured in a Construction Grammar framework since constructions by definition can include pragmatic features. Also, this article claims that constructions may be equipped with an additional ‘context slot’, in which co- and contextual information can be stored. In a final section, this article turns to the issue of tense as a grammatical phenomenon and its genesis in grammaticalisation processes. It is suggested that a Construction Grammar account can make the age-old debate about a future tense in English redundant. Instead, it complements studies in grammaticalisation and opens up some interesting perspectives on parallel developments in the onto- and phylogenesis of constructions.
Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing

Context. Principal component analysis (PCA) is widely used to repair incomplete spectra, to perform spectral denoising, and to reduce dimensionality. Presently, no method has been found to be comparable to PCA on these three problems. New methods have been proposed, but are often specific to one problem. For example, locally linear embedding outperforms PCA in dimensionality reduction. However, it cannot be used in spectral denoising and spectral reparing. Wavelet transform can be used to denoise spectra; however, it cannot be used in dimensionality reduction. Aims. We provide a new method that can substitute PCA in incomplete spectra repairing, spectral denoising and spectral dimensionality reduction. Methods. A new method, restricted Boltzmann machine (RBM), is introduced in spectral processing. RBM is a particular type of Markov random field with two-layer architecture, and use Gibbs sampling method to train the algorithm. It can be used in spectral denoising, dimensionality reduction and spectral repairing. Conclusions. The performance of RBM is comparable to PCA in spectral processing. It can repair the incomplete spectra better: the difference between the RBM repaired spectra and the original spectra is smaller than that between the PCA repaired spectra and the original spectra. The denoised spectra given by RBM is similar to those given by PCA. In dimensionality reduction, RBM performs better than PCA: the classification results of RBM+ELM (i.e. the extreme learning machine) is higher than those of PCA+ELM. This shows that RBM can extract the spectral features more efficiently than PCA. Thus, RBM is a good alternative method for PCA in spectral processing.
Bottom-Up Cu Filling of High-Aspect-Ratio through-Diamond vias for 3D Integration in Thermal Management

Three-dimensional integrated packaging with through-silicon vias (TSV) can meet the requirements of high-speed computation, high-density storage, low power consumption, and compactness. However, higher power density increases heat dissipation problems, such as severe internal heat storage and prominent local hot spots. Among bulk materials, diamond has the highest thermal conductivity (≥2000 W/mK), thereby prompting its application in high-power semiconductor devices for heat dissipation. In this paper, we report an innovative bottom-up Cu electroplating technique with a high-aspect-ratio (10:1) through-diamond vias (TDV). The TDV structure was fabricated by laser processing. The electrolyte wettability of the diamond and metallization surface was improved by Ar/O plasma treatment. Finally, a Cu-filled high-aspect-ratio TDV was realized based on the bottom-up Cu electroplating process at a current density of 0.3 ASD. The average single-via resistance was ≤50 mΩ, which demonstrates the promising application of the fabricated TDV in the thermal management of advanced packaging systems.
Dapper: Deploying Service Function Chains in the Programmable Data Plane Via Deep Reinforcement Learning

Network functions perform specific packet processing on network traffic. To meet operators’ needs, forming service function chains (SFCs) is a fundamental technique used in today's ISPs and datacenter networks. Implementing SFCs in the programmable data plane with high throughput and low latency is a new approach to satisfy demands of ever-growing network traffic. Previous works have proposed different solutions to solve the problem, but they all inevitably have to make trade-offs between running time and performance. For example, an ILP (Integer Linear Programming) can optimize cost but suffers from long running time in large-scale network topologies. Heuristic algorithms depend strongly on manual designs and usually have a performance gap with the optimal solution. In this paper, we propose <italic>Dapper</italic>, a framework for deploying SFCs in the programmable data plane using DRL (Deep Reinforcement Learning) with graph convolutional network. In order to expand the searching space to prevent the optimal value from being missed, <italic>Dapper</italic> allows the RL (Reinforcement Learning) agent to simultaneously extract features from both the substrate network and the hardware pipeline, and exploit a graph convolutional network to enhance performance. Moreover, a mask mechanism is also designed to accelerate <italic>Dapper</italic> and improve its scalability. <italic>Dapper</italic> has been implemented and extensively evaluated on both P4 hardware switches (equipped with Intel Tofino ASIC) and software switches (i.e., bmv2). Experimental results show that <italic>Dapper</italic> can automatically generate deployment solutions in a few seconds of running time after training. They also demonstrate that <italic>Dapper</italic> reduces hardware stage usage and the latency of SFCs by up to 17.8% and 50<inline-formula><tex-math notation="LaTeX">$\sim$</tex-math><alternatives><mml:math><mml:mo>∼</mml:mo></mml:math><inline-graphic xlink:href="cui-ieq1-3237244.gif"/></alternatives></inline-formula>73% respectively on average when compared with heuristics.
A computational approach for predicting the hydroelasticity of flexible structures based on the pressure Poisson equation

This work is concerned with the modeling of the interaction of fluid flow with flexible solid structures. The flow under consideration is governed by the Navier–Stokes equations for incompressible viscous fluids and modeled with low‐order velocity–pressure finite elements. The motion of the fluid domain is accounted for by the arbitrary Lagrangian–Eulerian formulation. The structure is represented by means of an appropriate standard finite element formulation. The spring smooth analogy is used to mesh control. The time integrating algorithm is based on the predictor–multi‐corrector algorithm. An important aspect of the present work is the introduction of a new monolithic approach based on the fluid pressure Poisson equation (PPE) to solve the hydroelasticity problem of an incompressible viscous fluid with an elastic body that is vibrating due to flow excitation. The PPE is derived to be consistent with the coupled system equation for the fluid–structure interaction (FSI). Based on this approach, an efficient monolithic method is adopted to simulate hydroelasticity between the flexible structure and the flow. The fluid pressure is implicitly derived to satisfy the incompressibility constraint, and the other unknown variables are explicitly derived. The coefficient matrix of the PPE for the FSI becomes symmetric and positive definite. To demonstrate the performance of the proposed approach, two working examples, a beam immersed in incompressible fluid and a guide vane of a Francis turbine passage, were used. The results show the validity of the proposed approach. Copyright © 2007 John Wiley & Sons, Ltd.
Optimization problem of shrinkage and thresholding policies in wavelet and the application to image processing

The fractional power models for selecting shrinkage and thresholding values are given in wavelet denoising approaches. Some criteria and algorithm for selecting optimal shrinkage and thresholding value are derived through analysing several well-known shrinkage and thresholding policies and use them in 2D signal denoising. The simulation shows that these criteria are useful in the common sense.
First Cohomology Group from the Virasoro-Like Algebra to its Larsson Functor Module

Let 𝒲 be the Virasoro-like algebra, and d 1, d 2 be the degree derivations of 𝒲. Set ℒ = W⊕C d 1⊕C d 2. Let F α(V) be the ℒ-module defined by Larsson's functor applied to a finite dimensional sl 2-module V. In this article, the derivations from ℒ to ℒ-modules F α(V) and the first cohomology group H 1(ℒ, F α(V)) are given.
Multi-user autostereoscopic display based on direction-controlled illumination using a slanted cylindrical lens array

This research aims to develop an auto-stereoscopic display, which satisfies the conditions required for practical use, such as, high resolution and large image size comparable to ordinary display devices for television, arbitrary viewing position, multiple viewer availability, suppression of nonuniform luminance distribution, and compact system configuration. In the proposed system, an image display unit is illuminated with a direction-controlled illumination unit, which consists of a spatially modulated parallel light source and a steering optical system. The steering optical system is constructed with a slanted cylindrical array and vertical diffusers. The direction-controlled illumination unit can control output position and horizontal angle of vertically diffused light. The light from the image display unit is controlled to form narrow exit pupil. A viewer can watch the image only when an eye is located at the exit pupil. Auto-stereoscopic view can be achieved by alternately switching the position of an exit pupil at viewer's both eyes, and alternately displaying parallax images. An experimental system was constructed to verify the proposed method. The experimental system consists of a LCD projector and Fresnel lenses for the direction-controlled illumination unit, and a 32 inch full-HD LCD for image display.
THE $\delta$-SQUARED PROCESS AND FOURIER SERIES OF FUNCTIONS WITH MULTIPLE JUMPS

We investigate the effects of the δ 2 transform on the partial sums of Fourier series for functions with a finite number of jumps, which in general, converge slowly. Although the δ 2 process is known to accelerate convergence for many sequences, we prove that in this case, the transformed series will usually fail to converge to the original function.
Designing a Nurse-Led Program for Self-Management of Substance Addiction Consequences: A Modified e-Delphi Study

Therapeutic interventions for people with problematic use of psychoactive substances can help tackle specific needs related to substance addiction consequences. This modified e-Delphi study aimed to establish consensus on a training program for self-management of substance addiction consequences. The study was conducted between February and April 2022, with an experts’ sample of 28 participants in the first round and 24 in the second. A priori consensus criteria were defined for each round. The results revealed a very strong consensus was achieved on the structure of the program and on clinical areas, such as the problematic use of substances, general health knowledge, health-seeking behavior and adherence, self-knowledge and well-being, social role and personal dignity, and family process. Additionally, over 80% participant consensus was achieved on an extensive number of interventions categorized as psychoeducational, psychotherapeutic, socio therapeutic, brief interventions, social skills training, problem solving techniques, relaxation techniques, and counseling. These findings may be able to fulfill a gap concerning structured treatment approaches for people with problematic use of psychoactive substances. Supporting self-management of the consequences of substance addiction and its application can change nurses’ interventions.
Position Self-Correction of Resolver Based on a Composite Method in Gimbal System

This article explores a composite self-correction method for the angular position of the resolver in the gimbal system of the control moment gyroscope (CMG). The nonideal signals of the resolver in the gimbal resolver-to-digital conversion (RDC) system result in a systematic error, which can decrease the performance of the output torque of the CMG. However, it is impractical to adopt additional high-precision sensors to correct the angular position of the resolver in the installed gimbal system on account of the limitation of the structure and space. Therefore, a novel self-correction composite method based on a discrete extended state observer (DESO) and a harmonic observer method (HOM) is put forward to calibrate the angular position of the resolver. First, the sine and cosine signals with harmonics can be directly obtained. Then, the composite proposed method is performed to get the accurate angular position of the resolver, and the position error can also be acquired. Based on the position error, the compensation table can be established, and finally, the high-precision position can be acquired. The proposed self-correction method is verified by simulation and experiments, and the results show that the angular position accuracy is significantly improved.
Contrasting effects of nitrogen fertiliser application on the performance of closely related grasshoppers through changes in plant nutrient concentrations

Global environmental changes mediated by anthropogenic processes can affect the nutrient status of plants, with important consequences for the performance and dynamics of insect herbivores that feed on them. While it is well documented that insects from different feeding guilds (e.g., sap‐feeders and leaf‐chewers) can respond differently to altered food resources due to their distinct physiological and ecological characteristics, little is known about how ecologically similar insect species from the same feeding guild respond to changes in food nutrient status. Using nitrogen (N) fertiliser, the authors examined the effects of N inputs on two sympatric grasshopper species, Euchorthippus cheui and E. unicolor, that share the same host food plant, Leymus chinensis grass. The authors examined the effects of fertilisation on the individual feeding behaviour, performance and abundance of the two grasshopper species. The nutrient (protein) content of L. chinensis leaves was enhanced by fertilisation during the entire season. However, E. cheui and E. unicolor exhibited differing growth rates, development and body size responses to fertilisation. E. cheui preferred L. chinensis leaves from high‐N fertilised treatments, while E. unicolor preferred leaves from low‐N fertilised treatments. Moreover, fertilisation increased the abundance of E. cheui but had no significant effect on the abundance of E. unicolor in the field. The findings imply that effective management and conservation strategies for insects should target the needs of individual species rather than species groups or communities as a whole because nutritional and environmental requirements are often species‐specific.
Ring-based ultrasonic virtual point detector with applications to photoacoustic tomography

An ultrasonic virtual point detector is constructed using the center of a ring transducer. The virtual point detector provides ideal omnidirectional detection free of any aperture effect. Compared with a real point detector, the virtual one has lower thermal noise and can be scanned with its center inside a physically inaccessible medium. When applied to photoacoustictomography, the virtual point detector provides both high spatial resolution and high signal-to-noise ratio. It can also be potentially applied to other ultrasound-related technologies.
Controlling Drain Side Tunneling Barrier Width in Electrically Doped PNPN Tunnel FET

In this paper, we propose and investigate an electrically doped (ED) PNPN tunnel field effect transistor (FET), in which the drain side tunneling barrier width is effectively controlled to obtain a suppressed ambipolar current. We present that the proposed PNPN tunnel FETs can be realized without chemically doped junctions by applying the polarity bias concept to a doped N+/P− starting structure. Using numerical device simulations, we demonstrate how the tunneling barrier width on the drain side can be influenced by several design parameters, such as the gap length between the channel and the drain (Lgap), the working function of the polarity gate, and the dielectric material of the spacer. The simulation results show that an ED PNPN tunneling FET with an ED drain, which has been explored for the first time, exhibits a low ambipolar current of 5.87 × 10−16 A/µm at a gap length of 20 nm. The ambipolar current is reduced by six orders of magnitude compared to that which occurs with a conventional ED PNPN tunnel FET with a uniformly doped drain, while the average subthreshold slope and the ON state and OFF state currents remained nearly identical.