Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimising the robust stability of time-delay systems via nonsmooth eigenvalue optimisation

The stabilisation of a system with a finite number of free parameters is a problem that typically arises in the design of fixed-order controllers. Most methods attempt to solve this stabilisation problem by trying to satisfy certain types of tabilisibility conditions. The drawback of such methods is th at these conditions are in general sufficient, but not necessar y. Therefore, the system may be stabilisible although the stabilisibility conditions cannot be satisfied. Our approach i s to directly act on the spectrum of the system to optimise the corresponding stability. We will first consider a nonsmooth optimisation method that maximises the exponential decay of the system trajectories. Since this commonly yields unro bust solutions, we will also apply this method to the optimisation of the robustness of a system against perturbations.
FLYING FISH (HIRUNDICHTHYS AFFINIS) BURGER: INFLUENCE OF ROSEMARY (ROSMARINUS OFFICINALIS) ON SENSORY AND PHYSICOCHEMICAL CHARACTERISTICS

The flying fish (Hirundichthys affinis) species has economic and social importance because it is a food for populations with low purchasing power. This is a fishery resource exploited worldwide and can be used as raw material to produce fish-based products due to its low cost and great availability in the northeastern region of Brazil. This study aimed to develop flying fish burgers formulations with different amounts of rosemary and assess its influence on the physicochemical and sensory characteristics throughout storage under freezing. To assess the influence of the rosemary during storage, moisture, pH, acidity, and color analysis were performed at 0, 30, 60 and 90 days of freezing and the sensory attributes were assessed using Quantitative Descriptive Analysis. The acidity of the sample without rosemary raised significantly at the end of the storage period. The pH raised only for the samples with rosemary at day 30 and 60. The L* values increased for all samples at the end of the storage period, however a* values where higher in samples with rosemary in days 0, 30 and 60. Sensory analysis showed that formulations with rosemary obtained better maintenance of the sensory characteristics. The development of flying fish products associated with the use of natural substances, becomes a suitable alternative to the availability of products with added value and being an income opportunity for fishing communities.
Ultrasound triggered mRNA delivery to dendritic cells—Towards an in vivo cancer vaccination strategy

Increasing knowledge on the crucial role of dendritic cells (DCs) in the initiation of immunity has launched a new field in cancer immunotherapy: DC vaccination. By loading patient’s DCs with tumor antigens and injecting them as a vaccine, antitumor immune responses can be induced. This project aims to use theranostic mRNA-loaded MBs for ultrasound-guided, ultrasound-triggered antigen-loading of DCs within the lymph nodes in vivo. mRNA-loaded MBs were prepared by attaching mRNA-lipid complexes to lipid MBs via avidin-biotin linkages. MBs loaded with mRNA encoding a tumor antigen (ovalbumin, OVA) were used to sonoporate murine DCs in vitro. These mRNA-sonoporated DCs were then used as therapeutic vaccines in E.G7-OVA-bearing mice. In vitro mRNA-sonoporation of murine DCs revealed transfection efficiencies up to 27%. The potential of this technique was further assessed in vivo by vaccinating E.G7-OVA-bearing mice with sonoporated DCs. When mRNA-sonoporated DCs were used, tumor growth was significantly reduced and even regressed in 30% of the animals. Moreover, rechallenge with tumor cells did not lead to tumor growth, indicating long-lasting immunological protection. A CEUS study in dogs showed the MBs rapidly drained to the lymph nodes after sc injection. Moreover, this revealed detailed information on the lymphatic anatomy.Increasing knowledge on the crucial role of dendritic cells (DCs) in the initiation of immunity has launched a new field in cancer immunotherapy: DC vaccination. By loading patient’s DCs with tumor antigens and injecting them as a vaccine, antitumor immune responses can be induced. This project aims to use theranostic mRNA-loaded MBs for ultrasound-guided, ultrasound-triggered antigen-loading of DCs within the lymph nodes in vivo. mRNA-loaded MBs were prepared by attaching mRNA-lipid complexes to lipid MBs via avidin-biotin linkages. MBs loaded with mRNA encoding a tumor antigen (ovalbumin, OVA) were used to sonoporate murine DCs in vitro. These mRNA-sonoporated DCs were then used as therapeutic vaccines in E.G7-OVA-bearing mice. In vitro mRNA-sonoporation of murine DCs revealed transfection efficiencies up to 27%. The potential of this technique was further assessed in vivo by vaccinating E.G7-OVA-bearing mice with sonoporated DCs. When mRNA-sonoporated DCs were used, tumor growth was significantly reduc.
Electrically Triggered Tunable Terahertz Band-Pass Filter Based on VO2 Hybrid Metamaterial

We demonstrate an electrically triggered tunable terahertz (THz) band-pass filter based on vanadium dioxide (VO2) embedded hybrid metamaterials. The unit cell of the filter consists of two cross resonators and a central bar. The phase transition of VO2 is induced by the ohmic heating of the central bar. The transmission can be modulated by the applied currents. The mechanism of tunability is that the conductivity of the VO2 film changes with the applied currents. The relation between the upper cut-off frequency and the geometries is investigated using finite integration time domain method. The sample is fabricated by a thin film process, and characterized using a THz time domain spectroscopy system. The results show that, when the bias current rises from 0 to 0.27 A, the transmission decreases from 0.85 to 0.01. The maximum modulation depth reaches 96%, and the full width at half maximum is about 0.44 THz. This tunable THz band-pass filter has potential applications in THz communication, imaging, and spectroscopy systems.
In-Wheel-Motor-Driven Electric Vehicles Motion Control Methods Considering Motor Thermal Protection

Thermal protection strategies are employed to protect in-wheel-motors (IWM). Vehicle motions and stability can be affected by such motor thermal protections because they typically reduce the motor output torque to lower motor temperature and protect motor from thermal damage. This paper proposes a fault-tolerant control (FTC) method and a fault-prevention control (FPC) method for vehicle motion control considering motor thermal protection. The FTC method aims to stabilize vehicle motion when motor thermal protection is triggered. A control allocation (CA) algorithm using motor temperature measurement is developed for the FTC method. The output torque constraints can be actively adjusted with motor temperature to include thermal protection strategy in the controller design. When future vehicle trajectories are available, a model predictive control (MPC) FPC algorithm is created to regulate the control efforts in advance to avoid overheating the IWMs that triggers the thermal protection strategy. The proposed methods are validated in CarSim® simulations and the results show that both the FTC and FPC methods can reduce the vehicle yaw rate tracking errors when IWMs are subject to thermal protection strategy.
How Hospitality Entrepreneurs Change Business Practices Under COVID-19 Pandemic: A Case Study of Small and Medium Sized Entrepreneurs at Lower Northeastern Thailand

Purpose: The purpose of this study is to examine the adaption methods of hospitality entrepreneurs during the Covid-19 pandemic and the influenced variables for business adaptations. Theoretical framework: This study was fundamentally based on the theory of entrepreneurial bricolage behavior which find to understand the entrepreneurs do during the resource constraints due to the covid-19 pandemic. Design/Methodology/Approach: The quantitative study is using questionnaires as a tool. The methods of adaptation for innovative hospitality management used by small and medium size hospitality entrepreneurs in Lower Northeastern Thailand. The sample population included 360 individuals with 55% females and 45 % males. Most of the participants were owners (89%) of small hotels and guesthouses some with restaurants and other hospitality facilities such as spas and coffee shops. Finding: An entrepreneurial adaptation of cost reductions in terms of facilities and personnel, as well as renegotiation with all stake holders including the government, that assisted far less in developing economies (EMDEs) and emerging markets then in European countries. Research, practical and social implications: The methods discussed in the paper includes: adjustment in investment deferral; adjustment in effective cost reduction; reduce operating costs; management inventory downsizing; concentrate on innovation; negotiating the terms of various contracts; adjustment in getting help from the government and concentrate on activities that generate income for business. Originality/Value: The value of the study is the adaptation is something constructed or created from a diverse range of available things. It introduces the information for small and medium size hospitality business adaptation during the crisis which effects the business operations. Most of the entrepreneurs will apply the adaptational variables for business sustainability and improve business performance.
Tradition Values of “Posintuwu” Tradition in Uniting Local Communities in Poso Regency, Indonesia

Poso regency in Indonesia is well-known as a regency with rich traditional culture. One of famous traditional culture is Posintuwu tradition which has been use a medium to unite local communitiies. The aim of this study is to examine the functional of Posituwu tradition in building unity among local communities. This study used qualitative approach and the data was gathered through field observation, in-depth interviews, and written document analysis. The results of this study show that the local coomunities in Poso regency understand the meaning and purpose of the Posintuwu tradition, while what is posintuwu is in the form of material and non-material. Besides, there are two forms of Posintuwu applied, namely sintuwu tuwu and sintuwu mate, because the Posintuwu tradition is a social oasis. The existence of the Posintuwu tradition among the community is still very much felt and seen to be implemented, both Muslims and non-Muslims, because they are aware of the positive values contained in this tradition, and people with the majority of posintuwu do not expect rewards so it can be said that the Posintuwu tradition is social sensitivity.
Optimization of Research on Case-base Structure based on Information Entropy

The core step of Case-based Reasoning is to retrieval and match the case with the fault feature accurately and efficiently, the scale of the case library is becoming larger because of the case studies feature, but the redundancy is becoming clearer at the same time, it influences the accuracy. The effective way to control the redundancy is to define the attributes which can distinguish the cases, the paper determines the weight of the case characteristics with the theory of entropy, making it more reasonable to divide the characteristics and more effective to organize the case, in order to control the redundancy of the case-base, thus improves the effectiveness of Case-Based Reasoning. Keywords-case-base management; the redundancy control; entropy; weights
Investigations on Transient Amplitude Amplification by Applying Intentional Mistuning

Due to the changing demands in the energy production sector which leads to higher numbers of run ups and run downs, the importance of transient processes increase. Further information on the occurring blade vibration amplitudes during these processes could be used to explore new potential for longer lifetime and efficiency. Recent publications have shown that the amplitude of a mistuned blisk during a resonance passage can exceed the stationary response of the same system [1]. This underlines the importance of a better understanding of what happens during resonance passage. The effect is described as transient amplitude amplification of mistuned structures (TAMS). In this paper the effect will be investigated theoretically as well as in experiments. The main cause of the described effect seems to be the splitting of double eigenfrequencies due to mistuning. Therefore, the focus lies on methods to deliberately influence and seperate eigenfrequencies. First, simulations are done to predict parameter values which tend to show the TAMS effect. It is then shown how a significant transient amplitude amplification can be created on a test rig depending on the intentional mistuning. For realization an experimental setup with contactless measurement and acoustic excitation is deployed on a simplified blisk.
Influence of Power Density and Exposure Time on Laser Drilling Hole

laser drilling play an important role in special applications with high accuracy dimensions, this paper was focused on two types of ceramics; aluminum oxide (Al 2 O 3 ) and zinc oxide (ZnO) of 4 mm thick have been drilled by using continuous wave (CW) CO 2 laser. the exposure times applied were (20, 40, 50) sec and the other laser parameters were kept constant and to avoid large distortion, A comparison between the two kinds of ceramic are carried out to determine the effect of laser parameters on them. It founds that ZnO holes are cleaner than Al 2 O 3 holes. Experiments proved that Exposure time at 50 sec resulting in similar penetration depth of 1.5 mm for both materials. Also for exposure time 41 sec gives the same taper angle.
Vehicle-Mounted Infrared Pedestrian Tracking Based on Scale Adaptive Kernel Correlation Filter

—Pedestrian tracking for vehicle-mounted infrared images is essential in the vehicle-assisted driving system. In general, dealing with the change of the target scale in vehicle-mounted pedestrian tracking is tough. To solve this issue, this study proposes a pedestrian tracking algorithm based on Scale Adaptive Kernel Correlation Filter (SAKCF). The median ﬁltering is applied to suppress the background information and improve the ratio of signal-to-noise. Histogram of Intensity (HOI) feature and Histogram of Oriented Gradient (HOG) feature of the image are extracted and input into SVM. In order to make the tracking adaptive to the scale change of the target, the method of SAKCF is applied. The algorithm is divided into two stages: position detection and scale detection. During position detection, a cyclic matrix around the target position is constructed for dense sampling, with the HOG feature extracted to train the position ﬁlter by the output response of Gaussian distribution. During scale detection, multi-scale cyclic shift samples are obtained in the central area of the position detection result and zoomed to the ﬁxed scale of the target by bilinear interpolation, with the value of target regression deﬁned by Gaussian distribution. Experiments indicate that the proposed method can acquire stable tracking on pedestrians for vehicle-mounted infrared images and meet real-time requirements with solid robustness.
A measurement of the W+/- Z production cross section and limits on anomalous trilinear gauge couplings in proton-proton collisions at s = 7 TeV using 4.64 fb-1 of data collected with the ATLAS detector

I present a measurement of the W±Z production cross section in the leptonic final states in pp collision at √ s = 7 TeV and limits on anomalous trilinear gauge couplings, using 4.64 fb−1 of data collected using the ATLAS experiment at the LHC. The production cross section has been determined to be 19.0 −1.3(stat.)±0.9(syst.)±0.4(lumi.), in agreement with the Standard Model (SM) expectation of 17.6 −1.0 pb. A search for anomalous tri-linear gauge couplings has been conducted and limits have been set at the 95% confidence level; the result is consistent with the SM couplings.
Validation and Psychometric Properties of the Polish Version of the Fear of COVID-19 Scale Among Adolescents

Objectives: Coronavirus leads to multiple tragic consequences not only in the dimension of people’s physical functioning, but also in the psychological dimen-sion. Due to the increased risk of morbidity among the older people, the researchers put the emphasis on the elderly. Nonetheless, it is unacceptable to disregard it in the group of young people who become ill with it and observe its consequences with respect to their close relatives. Accordingly, it is so important to undertake studies pertaining to mental health of children and that of youth during the pandemic. Prior to initiating the research, the adequate selection of research tools of high psychometric properties should be made. Material and methods: Our objective was to adapt the Fear of COVID-19 Scale to Polish conditions. The study involved 380 randomly selected students aged 14-18 who were placed under the several months’ national quarantine, i
Limit on UHE Neutrino Flux from the Parkes Lunar Radio

The first search for ultra-high energy (UHE) neutrinos using a radio telescope was conducted by Hankins, Ekers & O’Sullivan (1996). This was a search for nanosecond duration radio Cherenkov pulses from ultra-high energy (UHE) neutrino interactions in the lunar regolith, and was made using a broad-bandwidth receiver fitted to the Parkes radio telescope, Australia. At the time, no simulations were available to calculate the experimental sensitivity and hence convert the null result into a neutrino flux limit. Proposed future experiments include the use of broad-bandwidth receivers, making the sensitivity achieved by the Parkes experiment highly relevant to the future prospects of this field. We have therefore calculated the effective aperture for the Parkes experiment and found that when pointing at the lunar limb, the effective aperture at all neutrino energies was superior to single-antenna, narrow-bandwidth experiments, and that the detection threshold was comparable to that of the double-antenna experiment at Goldstone. However, because only a small fraction of the observing time was spent pointing the limb, the Parkes experiment places only comparatively weak limits on the UHE neutrino flux. Future efforts should use multiple telescopes and broad-bandwidth receivers.
Optical extinction efficiencies for metallic single wall carbon nanotubes in the infrared spectral region

ABSTRACT The extinction efficiency (mass normalized extinction cross section) of a sample of metallic single wall carbon nanotubes (SWCNTs) has been measured in the infrared spectral region. The tubes were obtained from Nano-Integris Inc. and measured while suspended in propanol. Calculation of the extinction efficiency based on a computational code for fibers of finite length shows good agreement with the experimental results. The computation involved convolution over the SWCNTs’ length and diameter distributions. The results emphasize the potential of SWCNTs as efficient obscurants of electromagnetic radiation in the infrared spectral region.
The use of the empirical mode decomposition for the identification of mean field aligned reference frames

The magnetic field satellite data are usually referred to geocentric coordinate reference frame. Conversely, the magnetohydrodynamic waves modes in magnetized plasma depend on the ambient magnetic field, and is then useful to rotate the magnetic field measurements into the mean field aligned (MFA) coordinate system. This reference frame is useful to study the ultra low frequency magnetic field variations along the direction of the mean field and perpendicularly to it. In order to identify the mean magnetic field the classical moving average (MAVG) approach is usually adopted but, under particular conditions, this procedure induces undesired features, such as spectral alteration in the rotated components. We discuss these aspects promoting an alternative and more efficient method for mean field aligned projection, based on the empirical mode decomposition (EMD).
Improved model for mixtures of polymers and hard spheres

Extensive Monte Carlo simulations are used to investigate how model systems of mixtures of polymers and hard spheres approach the scaling limit. We represent polymers as lattice random walks of length L with an energy penalty w for each intersection (Domb–Joyce model), interacting with hard spheres of radius Rc via a hard-core pair potential of range Rmon+Rc, where Rmon is identified as the monomer radius. We show that the mixed polymer-colloid interaction gives rise to new confluent corrections. The leading ones scale as L−ν, where ν≈0.588 is the usual Flory exponent. Finally, we determine optimal values of the model parameters w and Rmon that guarantee the absence of the two leading confluent corrections. This improved model shows a significantly faster convergence to the asymptotic limit L→∞ and is amenable for extensive and accurate numerical simulations at finite density, with only a limited computational effort.
Central limit theorems for multiple stochastic integrals and Malliavin calculus

We give a new characterization for the convergence in distribution to a standard normal law of a sequence of multiple stochastic integrals of a fixed order with variance one, in terms of the Malliavin derivatives of the sequence. We also give a new proof of the main theorem in [7] using techniques of Malliavin calculus. Finally, we extend our result to the multidimensional case and prove a weak convergence result for a sequence of square integrable random variables.
Detection of “Cocoa Swollen Shoot Disease” in Ghanaian Cocoa Trees Based on Convolutional Neural Network (CNN) and Deep Learning Technique

The application of Convolutional Neural Networks and Deep Learning Techniques in the detection of "Cocoa Swollen Shoot" disease in Ghanaian cocoa trees have demonstrated its effectiveness and reliability. This approach provides a valuable tool for cocoa farmers and agricultural authorities to promptly identify and manage the disease, contributing to the sustainable production of cocoa and the preservation of Ghana's cocoa industry. Recent advances in diagnostics have made image analysis one of the main areas of research and development. Selecting and calculating these characteristics of a disease is a difficult task. Among deep learning techniques, deep convolutional neural networks are actively used for image analysis. This includes areas of application such as segmentation, anomaly detection, disease classification, and computer-aided diagnosis. The objective, which we aim for in this article, is to extract information in an effective way for a better diagnosis of the plants attending the disease of “swollen shoot”.