Miracle-dz/UniFAR-FTUs huggingface dataset:
Suporte ao Desenvolvimento e Uso de Componentes Flexíveis

Component-oriented development is being stimulated by the availability of devices allowing component interoperability, regardless of programming language, running platform and executing location. However, there are some unsolved problems concerning search and selection, functionality understanding and adaptation of components. Flexibility is an important feature for increasing component reusability. Some approaches like wrappers, help in adapting actual components to systems not fully compatible. In this paper we propose to develop components as object-oriented frameworks. This leads to flexible components, much more suitable to reuse. On the other hand, this approach makes more complex the development and the use of components. SEA is an environment supporting development and use of reusable software artifacts. It employs a describing approach like those used in OOAD methodologies. The environment supports development, semantic checking and semi-automatic translation of design specifications. In this paper we describe how SEA supports the development and the use of flexible components.
STRUCTURE-PRESERVING REPRESENTATIONS OF COMPLEX REFERENCES

This paper presents a new formalism for isomorphic representations of legal knowledge, based on feature structures. The formalism, which follows the legal-theoretical distinctions of Van Kralingen’s (1995) conceptual modeling framework, preserves the structural composition of non-primitive concepts in the representation. We claim this is necessary when the interpretation of a non-primitive concept is partially modified by a deeming provision, because occurrences of the concept in legislation then refer both to the concept as a whole and to its component parts.
Entropy for extensions of Bernoulli shifts

Abstract We give a condition for automorphisms α and β on finite von Neumann algebras which induces the tensor product formula for entropies: H(α ⊗ β) = H(α) + H(β). As an application, the Bernoulli shift (1/n, 1/n, …, 1/n) has extensions to ergodic outer automorphisms {αk; k = 1,2, …} on the hyperfinite II1 factor R with the entropies H(αk) = (1/2)kn log n.
Two-Stage Single-Phase EV On-Board Charger Based on Interleaved Bridgeless AC-DC Converter

This paper presents a two-stage single-phase 3.5 kVA on-board charger (OBC) for an electric vehicle (EV) charger that is suitable to be connected to a low-voltage household network. The proposed OBC consists of a front-end converter and a back-end converter. The two-phase bridgeless interleaved converter is used as a front-end converter since it will reduce the current stress on the power electronic switches and improve the overall charger efficacy. For the back-end converter, the LLC resonant network single-active bridge is used to provide galvanic isolation, and it operates a switching frequency high than the resonance frequency to achieve zero-voltage switching. Also, the presented control strategy loops make the proposed OBC have three operating modes (current control mode, fixed input power mode, and voltage control mode) with a smooth transition between the modes during the EV charging process. Finally, the proposed OBC simulation and experimentation are carried out to verify the safe charging operation. Finally, the performance of the proposed OBC and the proposed control strategy was verified using PSCAD/EMTDC simulation, such as first the performance of the current control mode was first tested, and the full charging cycle was simulated.
A Reliability Assessment Approach for A LIF Neurons Based Spiking Neural Network Circuit

Although Spiking Neural Networks(SNN) show high robustness, they are inevitably affected by external factors or within the devices themselves when transferring them into hardware circuits. For example, devices in hardware circuits may cause physical defects, aging, or catastrophic failures during the manufacturing process, which can degrade the performance of SNN circuits. To investigate these effects, this study selects existing circuits and simulates the effects on the performance of SNN circuits under different failure scenarios. By analysis the recognition accuracies as functions of the level of failure and degradation, the impact of circuit failures on the performance of the selected SNN can be evaluated. It is shown that the second hidden layer is very sensitive to noise and neuron failures, and therefore more reliable circuits or devices are needed to improve circuit reliability. In the second hidden layer, the loss of about 85.25% of the neuron circuits does not significantly affect the performance of the whole SNN, which indicates the degeneracy of SNN hardware circuits. The connections between neurons can be reduced by layer-by-layer, global and local pruning to reduce the cost and optimize the circuit.SNN hardware circuits can tolerate up to 93.33% fault tolerance, which is an important guideline for the application of SNN hardware circuits.
Optimal Configuration of Stand-Alone Hybrid Energy System in New Tiba City, Luxor, Egypt

Small-grid projects for the production of electricity can be easily integrated into the energy production strategy, which can be linked to the public network or work as independent networks serving remote areas. This paper describes an approach for the optimal configuration of a standalone hybrid energy system (HES) in New Tiba City located in the northeast of Luxor City, Egypt. This HES consists of photovoltaic (PV) panels and wind turbines as the main energy source and the backup power supply includes a battery storage system and diesel generator. A new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is used to obtain and select the size of the system units, which can be suitable for modeling and optimized with the least Cost of Energy (COE), Net Present Cost (NPC). The findings of the POA approach were compared with using other optimization algorithms CSA (Chameleon Swarm Algorithm) and HBA (Honey Badger Algorithm) to show the POA effectiveness. The results show the effectiveness of the POA algorithm to solve the optimal economic design problem for hybrid microgrid power systems with the best NPC, and COE 7,269,332.55 $, 0.248180825$/kWh, respectively.
Optimization of a bulk-driven surface micromachined ultrasonic micromotor

This paper reports on performance and optimization of an ultrasonically driven surface micromachined motor. The rotor thickness and diameter are 2.5 /spl mu/m and 1000 /spl mu/m respectively, and is actuated by a piezoelectric PZT (lead-zirconate-titanate) plate with segmented electrodes. The motor operates with sub-three volt peak-to-peak excitation in atmospheric pressure. Parametric excitation of a plate in conjunction with mode splitting is observed on the stator hub resulting in traveling modes with vibration amplitude of approximately 1/spl mu/m. The rotation direction can be controlled by selectively exciting different electrodes on the PZT plate. The piezoelectric plate is adhesively mounted to silicon die after the surface micromachine fabrication making the method suitable for actuating micromachines from any surface micromachine process.
CoTEV: Trustworthy and Cooperative Task Execution in Internet of Vehicles

Due to the increasing number of service requests from the vehicles, the load at the road side units (RSUs) increases, which affects the delay-sensitive vehicle services. In Internet of Vehicles (IoV), the vehicles can communicate directly with other vehicles and take help from the vehicles to cooperatively accomplish a task. However, it is very challenging to cooperatively execute a task in an IoV environment with high traffic and dynamic vehicle movements. Furthermore, it is difficult for a task vehicle to choose trustworthy and cooperative vehicles. In this article, we propose algorithms for cooperative task execution by taking the help of trusted vehicles, when it is not possible to complete a deadline-specified task through the RSUs. We propose a hedonic coalition formation game-based approach to form distributed coalitions of cooperative vehicles. We consider the trust score of the vehicles along with their computational capabilities and journey routes. After each task execution, the service feedback is reflected in the trust score of each cooperative vehicle in the coalition. Our proposed algorithms allow the cooperative vehicles to autonomously choose the coalitions and select vehicle tasks to maximize their payoffs. To satisfy the task deadlines in multiple coalitions, we design the merging of vehicle coalitions. We consider the simulation of urban mobility (SUMO) tool to generate the mobility traces of the vehicles in a real road network of Berlin city, which considers the traffic junctions and vehicle density on the roads. Through extensive simulations, we show that the proposed algorithms significantly increase the service rate of delay-sensitive task requests by at least <inline-formula><tex-math notation="LaTeX">$30.5 \%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>30</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="dass-ieq1-3267602.gif"/></alternatives></inline-formula> and the trust score by at least <inline-formula><tex-math notation="LaTeX">$20.61 \%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>20</mml:mn><mml:mo>. </mml:mo><mml:mn>61</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="dass-ieq2-3267602.gif"/></alternatives></inline-formula>, compared to the benchmark schemes.
Methane emission, milk yield and behavior of ewes kept on pastures or supplemented with concentrate based on corn grain or whole cottonseed

ABSTRACT This study aimed to evaluate methane emission, milk yield and behavior of ewes kept exclusively on irrigated pasture of Tifton 85 grass (Cynodon spp.) or supplemented with ground corn or whole cottonseed (WCS) based concentrates. Twelve Lacaune x Santa Ines ewes (43.07±0.83 kg of body weight, 77±24 days after parturition, on average) were distributed in replicated 3x3 Latin square. Treatments consisted of three diets: pasture (no concentrate supplementation); corn (pasture + corn-based supplement); whole cottonseed (pasture + whole cottonseed-based supplement), offering 0.5 kg/ewe/day. The WCS group showed the highest concentrate dry matter intake (DMI) (p=0.049) and crude protein (CP) intake (p=0.001) compared to the others. There was no difference on total DMI (p=0.115) for the tested diets. Animals exclusively kept on pasture had the greatest forage DMI (p=0.004), lowest CP digestibility (p=0.015), showed longer grazing time (p=0.01) and shorter idle time (p=0.01) compared to the supplemented groups. Milk yield (0.36 kg/ewe/day) (p=0.15) and methane emission (33.12 g/ewe/day) (p=0.95) were similar for all three evaluated groups. Supplementation with concentrate based on corn or whole cottonseed does not improve productive performance nor decrease methane emission. However, lactating ewes kept exclusively in pasture show longer grazing time, without changes in milk yield and methane emission.
Safety and Tolerability of Whole Soybean Products: A Dose-Escalating Clinical Trial in Older Adults with Obesity

Soybean products have nutrients, dietary fiber, and phytoalexins beneficial for cardiovascular and overall health. Despite their high consumption in Asian populations, their safety in Western diets is debated. We conducted a dose-escalating clinical trial of the safety and tolerability of soybean products in eight older adults (70–85 years) with obesity. Whole green soybean pods grown under controlled conditions were processed to flour (WGS) at the United States Department of Agriculture using common cooking techniques such as slicing and heat treatment. WGS incorporated into food products was consumed at 10 g, 20 g, and 30 g/day for one week at each dose. The gastrointestinal outcomes, clinical biomarkers, and adverse events were evaluated. We explored the stimulation of phytoalexin (glyceollin) production in live viable soybean seeds (LSS-G). We compared the compositions of WGS and LSS-G with commercial soybean flour and its fermented and enzymatically hydrolyzed forms. We found that although 30 g WSG was well-tolerated, and it made participants feel full. Our processing produced glyceollins (267 µg/g) in LSS-G. Processing soybean flour decreased the iron content, but reduced the oligosaccharides, which could attenuate flatulence. Providing soybean flour at <30 g/day may be prudent for overall health and to prevent the exclusion of other food groups and nutrients in older adults with obesity.
Micromolding-in-Capillary based Fabrication of Liquid Metal Patterned Structures for Soft Robotics

Liquid metals offer high intrinsic stretchability and electrical conductivity at room temperature which make them potential material candidates to develop stretchable high-performance electronics. The present paper reports a facile fabrication method to pattern liquid metals. A micromolding-in-capillary process is developed wherein liquid metals are casted into desired shapes on stretchable substrates such as EcoflexTM. First, 3D printing is employed to realize a master template of a desired shape and then the grooved stretchable substrates are formed to fill-out with the liquid metals. The efficacy of the developed technique is demonstrated by fabricating stable stretchable interconnects, and mechanical sensors. The obtained experimental data shows that liquid metal interconnects maintain high electrical conductivity under stringent linear strain up to 160 %with the maximum relative change in resistance of 2%, and under wide temperature range (–5 to 50°C) reaching maximum of –2.5% relative change at –5°C. As a mechanical sensor, the results show a linear increase in resistance change with a stepwise increase in the applied force from 3–7N.
Peak Cancellation Method With IIR Filters and Its FPGA Implementation

To improve the efficiency of power amplifiers (PA) in communication transmitters, peak cancellation (PC) in the time domain is often implemented on a Field-programmable gate array (FPGA) to reduce the peak-to-average power ratio (PAPR) of the baseband signals. However, to reduce the out-of-band radiation, the existing techniques tend to use high-order finite impulse response (FIR) filters, which increases the input-to-output delay and resource consumption of FPGA. To address this issue, a PC method with the infinite impulse response (IIR) filter is proposed in this brief. The design criteria of the IIR filter for PC is given. The FPGA implementation scheme and resource optimization are discussed. To verify the performance of the proposed method, MATLAB simulation and FPGA implementation are made with a 5G NR signal. The comparison with the state-of-the-art PC methods shows that the proposed technique can reduce the total time delay greatly, with good PC performance and low resource consumption.
The vortex instability pathway in stratified turbulence

Abstract The parameter regime of strong stable density stratification and weak rotation is an important one in geophysical fluid dynamics. These conditions exist at intermediate length scales in the atmosphere and ocean (mesoscale and sub-mesoscale, respectively), and turbulence here links large-scale quasi-geostrophic motions with small-scale dissipation. While major advances in the theory of stratified turbulence have been made over the last few decades, many open questions remain, particularly about the nature of the energy cascade. Recent numerical experiments and analysis by Augier, Chomaz & Billant (J. Fluid Mech., vol. 713, 2012, pp. 86–108) present a remarkably vivid illustration of the nonlinear interactions that drive such turbulence. They consider a columnar vortex dipole, which naturally three-dimensionalizes under the influence of strong stratification. Kelvin–Helmholtz instabilities subsequently transfer energy directly to small scales, where the flow transitions into three-dimensional turbulence. This direct link between large and small scales is quite distinct from the usual picture of a turbulent cascade, in which nonlinear interactions are local in scale. But how important is this mechanism in the atmosphere and ocean?
Intra-Specific Variation in Desiccation Tolerance of Citrus sinensis ‘bingtangcheng’ (L.) Seeds under Different Environmental Conditions in China

Intra-specific variation in seed storage behaviour observed in several species has been related to different maternal environments. However, the particular environmental conditions and molecular processes involved in intra-specific variation of desiccation tolerance remain unclear. We chose Citrus sinensis ‘bingtangcheng’ for the present study due to its known variability in desiccation tolerance amongst seed lots. Six seed lots of mature fruits were harvested across China and systematically compared for drying sensitivity. Annual sunshine hours and average temperature from December to May showed positive correlations with the level of seed survival of dehydration. Transcriptional analysis indicated significant variation in gene expression between relatively desiccation-tolerant (DT) and -sensitive (DS) seed lots after harvest. The major genes involved in late seed maturation, such as heat shock proteins, showed higher expression in the DT seed lot. Following the imposition of drying, 80% of stress-responsive genes in the DS seed lot changed to the stable levels seen in the DT seed lot prior to and post-desiccation. However, the changes in expression of stress-responsive genes in DS seeds did not improve their tolerance to desiccation. Thus, higher desiccation tolerance of Citrus sinensis ‘bingtangcheng’ seeds is modulated by the maternal environment (e.g., higher annual sunshine hours and seasonal temperature) during seed development and involves stable expression levels of stress-responsive genes.
Barrel distortion correction of wide-angle lens based on a duality quadratic polynomial

In order to correct the barrel distortion due to wide-angle lenses,a new correction method based on a duality quadratic polynomial is proposed,and the methods of pixel coordinate correction and gray scale restoration are clarified. Firstly,the wide-angle lens is relatively calibrated by a template. Secondly,the duality quadratic polynomial is used to fit the rules of pixel coordinate between distortion image and perfect image. Lastly,the method is used in the image shot by a wide-angle lenses,and the least squared method is used to evaluation of the correction result. The results show that the method can correct the barrel distortion of wide-angle lenses efficiently without taking into account the parameters of the vision system.
Flexible Writing Pad based on a Piezoresistive Thin Film Sensor Matrix

Digital multimedia tools are becoming increasingly important as the world slowly shifts to an online mode. In this work, we present a low-cost, flexible writing pad that uses a $16 \times 16$ pressure sensing matrix based on the piezoresistive thin film of velostat. The writing area is $5 \mathrm{~cm} \times 5 \mathrm{~cm}$ with an effective pixel area of $0.06 \mathrm{~mm}^{2}$. A read out circuit is designed to detect the change in resistance of the velostat pixel using a voltage divider. A microprocessor raster scans through the sensor pixel matrix to obtain a data frame of 256 integers. This data is processed using techniques like squaring and normalising (S&N), Gaussian blurring, and adaptive thresholding to generate a more readable output. The writing pad is able to resolve characters larger than $2 \mathrm{~cm}$ in length. The flexible writing pad produces legible output while flexed at bending radius of upto $4 \mathrm{~cm}$. Such flexibility promises to enhance the usability and portability of the writing pad significantly.
Analysis of Persian Bioinformatics Research with Topic Modeling

Purpose As a scientific field, bioinformatics has drawn remarkable attention from various fields, such as information technology, mathematics, and modern biological sciences, in recent years. The topic models originating from the field of natural language processing have become the focus of attention with the rapid accumulation of biological datasets. Thus, this research is aimed at modeling the topic content of the bioinformatics literature presented by Iranian researchers in the Scopus Citation Database. Methodology. This research was a descriptive-exploratory study, and the studied population included 3899 papers indexed in the Scopus database, which had been indexed in this database until March 9, 2022. The topic modeling was then performed on the abstracts and titles of the papers. A combination of LDA and TF-IDF was utilized for topic modeling. Findings. The data analysis with topic modeling resulted in identifying seven main topics “Molecular Modeling,” “Gene Expression,” “Biomarker,” “Coronavirus,” “Immunoinformatics,” “Cancer Bioinformatics,” and “Systems Biology. ” Moreover, “Systems Biology” and “Coronavirus” had the largest and smallest clusters, respectively. Conclusion The present investigation demonstrated an acceptable performance for the LDA algorithm in classifying the topics included in this field. The extracted topic clusters indicated excellent consistency and topic connection with each other.
Design of Low Complexity Nonrecursive Fractional Hilbert Transformer

Obtain a low complexity nonrecursive fractional Hilbert transformer with small ripples and narrow transition band explored. The method relies on merging Frequency Response Masking (FRM) and, Frequency transformation (FT) approaches. The frequency response masking approach is a simple multiplierless subfilter that can be obtained by rounding off. On the other hand, the Frequency transformation approach has the benefit of using an identical subfilter repeatedly as the overall architecture. An efficient method is shown by utilizing examples that the merging FRM-FT can achieve reduced computational complexity than earlier methods. The FRM-FT can be of a relatively small length of sample filter because of its ripple size. The final design is less complex compared to the direct approach.
Board Capital and Firm Performance

This study examines the influence of board capital on firm performance. Annual reports are used as the main sources for data collection. This study finds that firm performance decreases with gender diversity. Next, the interlocking directorate is not associated with firm performance. The findings would be useful to Malaysian policy-makers in deliberating the board’s role as a governance mechanism in strengthening the board structure. The results suggest selecting a director with relevant knowledge and perspective rather than simply meeting the number of board seats.
NMR-Relaxometric Investigation of Mn(II)-Doped Polyoxometalates in Aqueous Solutions

Solution behavior of K;5[(Mn(H2O))PW11O39]·7H2O (1), Na3.66(NH4)4.74H3. 1[(MnII(H2O))2.75(WO(H2O))0.25(α-B-SbW9O33)2]·27H2O (2), and Na4.6H3. 4[(MnII(H2O)3)2(WO2)2(β-B-TeW9O33)2]·19H2O (3) was studied with NMR-relaxometry and HPLC-ICP-AES (High Performance Liquid Chromatography coupled with Inductively Coupled Plasma Atomic Emission Spectroscopy). According to the data, the [(Mn(H2O))PW11O39]5− Keggin-type anion is the most stable in water among the tested complexes, even in the presence of ethylenediaminetetraacetic acid (EDTA) or diethylenetriaminepentaacetic acid (DTPA). Aqueous solutions of 2 and 3 anions are less stable and contain other species resulting from dissociation of Mn2+. Quantum chemical calculations show the change in Mn2+ electronic state between [Mn(H2O)6]2+ and [(Mn(H2O))PW11O39]5−.