Miracle-dz/UniFAR-FTUs huggingface dataset:
Species delimitation of rice seed bugs complex: Insights from mitochondrial genomes and ddRAD‐seq data

Species delimitation is very important for the study of taxonomy and is essential for pest control and management. Our study focussed on the species delimitation of five Leptocorisa species (Insecta: Hemiptera: Alydidae: Leptocorisa) from China, especially for the rice seed bugs (Leptocorisa acuta species complex) due to their extreme morphological similarities. We applied multifarious distance‐based and tree‐based methods for species delimitation in the L. acuta species complex based on the multilocus genetic markers (i.e. cytochrome oxidase subunit I (cox1), whole mitochondrial genomes (WMGs) and double‐digest restriction site‐associated DNA sequencing (ddRADseq)). Both cox1 and WMGs failed to distinguish the two recent divergent taxa in the L. acuta species complex (L. chinensis and L. oratoria). However, genome‐wide nuclear SNP data unambiguously identify two separate species, which were congruent with the morphological species assignments. In addition, the morphological characters used for identification are diagnostic and stable. For the observed mito‐nuclear discordance pattern between L. chinensis and L. oratoria, mitochondrial introgression resulting from hybridization was probably inferred as the most likely explanation, which needed to expand the sampling range of the two species for further analysis. This study first provided molecular evidence for the delimitation of rice seed bugs complex, which was essential for further studies of ecology and pest management of these important rice pests.
Opinions of Pre-Service Teachers on The Use of Educational Digital Games in Science Lessons

In this study, the opinions of pre-service teachers on the use of educational digital games in science lessons were examined. The research model of the study is qualitative model. The criterion sampling method, which is one of the purposive sampling methods, was used in the selection of the study group. The study group consists of 12 undergraduate 4th grade teacher candidates who study at a state university and choose the elective course called “Science Education with Games”. In the study, 12 pre-service teachers developed educational digital games in an elective undergraduate course for one semester and presented the games they developed to other pre-service teachers. All processes were carried out online. The data in the study were obtained in the 2020-2021 academic year. Semi-structured interview was used as data collection tool. For semi-structured interviews, semi-structured interview form was implemented to pre-service teachers before and after the implementation. In data analysis, qualitative data were analyzed using content analysis. The collected data were analyzed and interpreted. As a result of the study, it was seen that the opinions of the pre-service teachers about the use of educational digital games in the science lesson were positive. In addition, pre-service teachers stated that the use of educational digital games provides learning with fun.
Low-frequency Magnetic Field Modeling

Investigated low-frequency magnetic field modeling using finite element method. Analyzed programs COSMOSM and its preprocessor and postprocessor GEOSTAR, their possibilities, discussed main characteristics of finite elements MAG2D, MAG3D, TETRA4 and TETRA10 used for magnetic field modeling. Created overall modeling algorithm presented and low-frequency magnetic field modeling method proposed. Problems of creation of finite element mesh are discussed. Example of modeling of magnetic field created by solenoid actuator is presented. Ill.8, bibl.7 (in English; summaries in Lithuanian, English and Russian).
Analysis of an Electromagnetically Coupled Microstrip Ring Antenna Using an Extended Feedline

A new method for the computation of input impedance of an annular ring microstrip antenna, fed electromagnetically by a microstrip line, and operating in its fundamental mode is presented. The method based on cavity model in conjunction with circuit theory is compared with simulation (IE3D™) and measurement based results. It is shown that this method of computation leads to accurate prediction of impedance for such structures with minimum of computational complexity, thereby making it an attractive tool for accurate and quick design estimate for many applications.
J-band amplifier design using gain-enhanced cascodes in 0.13 μm SiGe

This paper presents two J-band amplifiers in different 0.13 μm SiGe technologies: a small signal amplifier (SSA) in a technology in which never before gain has been shown over 200 GHz; and a low noise amplifier (LNA) design for 230 GHz applications in an advanced SiGe HBT technology with higher fT/fmax, demonstrating the combination of high gain, low noise, and low power in a single amplifier. Both circuits consist of a four-stage pseudo-differential cascode topology. By employing series–series feedback at the single-stage level the small-signal gain is increased, enabling circuit operation at high-frequencies and with improved efficiency, while maintaining unconditional stability. The SSA was fabricated in a SiGe BiCMOS technology by Infineon with fT/fmax values of 250/360 GHz. It has measured 19.5 dB gain at 212 GHz with a 3 dB bandwidth of 21 GHz. It draws 65 mA from a 3.3 V supply. On the other hand, a LNA was designed in a SiGe BiCMOS technology by IHP with fT/fmax of 300/450 GHz. The LNA has measured 22.5 dB gain at 233 GHz with a 3 dB bandwidth of 10 GHz and a simulated noise figure of 12.5 dB. The LNA draws only 17 mA from a 4 V supply. The design methodology, which led to these record results, is described in detail with the LNA as an example.
Collagen isolation and characterization from Sardinella longiceps

Objective: Collagen is a fibrous protein that is primarily used in the pharmaceutical and biomedical industries. This study isolates and characterizes type-1 collagen from Sardine longiceps (scales, skin, and muscle). Materials and Methods: Collagen was isolated from S. longiceps using two methods: acid-solubilized collagen and pepsin-solubilized collagen. Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) was used to estimate the molecular weight of isolated collagen. Ultraviolet (UV)-visible spectrophotometry analysis was used to confirm the collagen extracted (type-I collagen). The functional groups of isolated collagens were identified using fourier transform infrared (FTIR) analysis. The X-ray diffraction (XRD) technique was used to investigate the crystallinity of isolated collagen. The high-pressure liquid chromatography (HPLC) technique was used to study the amino acid composition. Results: SDS–PAGE of S. longiceps revealed molecular weights ranging from 116 kDa for α-2 to 97 kDa for α-1. UV-visible spectra showed an absorbance value below 300 nm, and the results confirmed type-I collagen. FTIR showed major functional groups like amide A, B, I, II, and III. XRD determined the crystallinity of isolated collagen. The HPLC results showed the presence of higher glycine content, followed by proline and hydroxyl proline in the extracted collagen. Conclusion: The overall study confirmed that fish waste materials (scales, skin, and muscles) could be used as an alternative source for collagen.
Three Dimensional Nonlinear Finite Element Analysis of the Newly Designed Cardiovascular Stent

According to clinical reports, cardiovascular disease has become a major global health care problem in the present decade. To tackle this problem, the use of the cardiovascular stent is considered promising and effective for certain conditions. In this study, a newly designed cardiovascular stent has been modelled and evaluated by three-dimensional nonlinear finite element analysis with an aim of developing a computational framework for futuristic design analysis and optimisation. Compared with the existing conventional stents in the market, this novel design features an ability to regulate the stiffness, increase fatigue life, improve the manufacturability and decrease the tissue injury by smoothing out the geometric sharpness. Hyperelastic and soft materials are taken into account to analyse the artery responses to the stent deployment. Furthermore, NiTi and 316L stainless steel material properties are introduced to this newly designed stent to investigate the effect of stent material on artery reaction.
The plenacoustic function and its applications

This thesis is a study of the spatial evolution of the sound field. We first present an analysis of the sound field along different geometries. In the case of the sound field studied along a line in a room, we describe a two-dimensional function characterizing the sound field along space and time. Calculating the Fourier transform of this function leads to a spectrum having a butterfly shape. The spectrum is shown to be almost bandlimited along the spatial frequency dimension, which allows the interpolation of the sound field at any position along the line when a sufficient number of microphones is present. Using this Fourier representation of the sound field, we develop a spatial sampling theorem trading off quality of reconstruction with spatial sampling frequency. The study is generalized for planes of microphones and microphones located in three dimensions. The presented theory is compared to simulations and real measurements of room impulse responses. We describe a similar theory for circular arrays of microphones or loudspeakers. Application of this theory is presented for the study of the angular sampling of head-related transfer functions (HRTFs). As a result, we show that to reconstruct HRTFs at any possible angle in the horizontal plane, an angular spacing of 5 degrees is necessary for HRTFs sampled at 44.1 kHz. Because recording that many HRTFs is not easy, we develop interpolation techniques to achieve acceptable results for databases containing two or four times fewer HRTFs. The technique is based on the decomposition of the HRTFs in their carrier and complex envelopes. With the Fourier representation of the sound field, it is then shown how one can correctly obtain all room impulse responses measured along a trajectory when using a moving loudspeaker or microphone. The presented method permits the reconstruction of the room impulse responses at any position along the trajectory, provided that the speed satisfies a given relation. The maximal speed is shown to be dependent on the maximal frequency emitted and the radius of the circle. This method takes into account the Doppler effect present when one element is moving in the scenario. It is then shown that the measurement of HRTFs in the horizontal plane can be achieved in less than one second. In the last part, we model spatio-temporal channel impulse responses between a fixed source and a moving receiver. The trajectory followed by the moving element is modeled as a continuous autoregressive process. The presented model is simple and versatile. It allows the generation of random trajectories with a controlled smoothness. Application of this study can be found in the modeling of acoustic channels for acoustic echo cancellation or of time-varying multipath electromagnetic channels used in mobile wireless communications.
Non-conscious Activation of an Elderly Stereotype Leads to Safer Driving Behavior

Under the guise of evaluating a head-up display in a driving simulator, participants completed scrambled sentence tasks (while waiting at stop signs) designed to prime an elderly stereotype. Driving speed and driving time between stop signs in this Elderly Stereotype condition were compared to a Control condition in which age non-specific words were substituted for elderly stereotyped words. Participants had a lower maximum speed and longer driving time in the Elderly Stereotype condition than in the Control condition. This effect was obtained even though the participants were completely unaware of the theme in the experimental condition. Theoretical, as well as applied implications are discussed.
A novel ring-based triple-push 0.2-to-34 GHz VCO in 0.13μm CMOS technology

A novel ring-based triple-push voltage-controlled oscillator (VCO) with a continuous range from 0.2 to 34 GHz is proposed and realized using a commercial 0.13-μm 1P8M CMOS process. The output power of the VCO is −18 dBm with only ±2 dB variation in the full band. The fundamental rejection is more than 15 dB, and the second harmonic rejection is more than 25 dB. This VCO achieves the widest continuous tuning range reported to date.
Efficient digital signal processing algorithm for sonar imaging

An algorithm is presented which can be efficiently applied to a variety of sonar imaging modes including forward looking, side-looking and synthetic aperture sonar. The digital focused beamforming (DFB) algorithm for pixel based imaging utilises key attributes of both time and frequency domain techniques. DFB for forward looking imaging is described in detail and adaptation of the basic concept in application to the other imaging modes is outlined. Examples of both simulated and real images are presented.
Design of an electromyographic mouse

This paper shows the design of a PC mouse commanded by electromyographic (EMG) signals from two muscles of the forearm, palmar longus and extensor digitorum, there were classified four hand movements (including rest): flexion, extension and closure. To fulfill this objective the problem was divided into two stages, the first consisting of the hardware design to allow the acquisition of EMG signal on the PC. The second stage was the design of the software that would classify EMG signals and thus give the mouse cursor movement. For the classification of the EMG signals two types of artificial neural network were used, the Multilayer Perceptron and Radial Basis Function networks. The creation of the dataset and performing tests were done with random healthy people with an age range between 20 and 25 years. The results were higher than 87% in tests conducted in real time, which shows that the system designed had good response rates in real time and a good level of success.
The 2008 Artificial Intelligence Competition

The Artificial Intelligence Committee of the AMS conducted a classification competition to correctly classify storms into one of four types based on radar-derived characteristics. This competition, which was sponsored by Weather Decision Technologies, received seven entries, three of which beat the baseline decision tree used in the original work that used the dataset. We describe the dataset for automated storm type classification. The dataset is the result of a clustering program run on multi-radar reflectivity images and properties of those clusters computed by a set of severe weather algorithms. The labels on the dataset, created by manual identification, identify each cluster as being one of four categories: supercells, convective lines, pulse storms or non-organized cells. The ranking was carried out using the True Skill Statistic.
Angular Stability Analysis of a Multimachine System with Distributed and Large-Scale Photovoltaic Generations

Nowadays, high-level penetration of photovoltaic (PV) generation is being integrated into the power system due to its economic and environmental benefits. However, this may affect the power system's angular stability in particular when the power system is weak. Motivated by this issue, in this paper a comprehensive angular stability analysis for two-area benchmark system is carried out for a PV penetration level of 30%. Comparisons of the stability impact when the PVs are online and offline are presented. Our simulation results show that both the PVs' location and industry requirements can mitigate the negative effects, that is reduction of power system's inertia, caused by displacement of the conventional generators.
Compact size dipole antenna

A novel wideband planar dipole antenna is proposed. This antenna has a simple structure and compact size. For verification, the newly proposed structure was fabricated and measured. It is shown that the return loss of the antenna between 3.0 and 7.5 GHz is better than - 10 dB. The radiation performance is good over the whole frequency band.
Metabolomics Characterization of U.S. and Japanese F-15 and C-130 Flight Line Crews Exposed to Jet Fuel Volatile Organic Compounds and Aerosols

Abstract : Air and ground crews transfer a significant amount of jet fuel, and as a result of transfers, breathe its volatile emission from residues. Working on the flight line also exposes maintainers to exhaust from the jet fuel as engines are tested or run before and after flight. Since little is known concerning level of exposure and the corresponding biological response associated with human jet fuel exposure, nuclear magnetic resonance (NMR)-based metabolomics analysis of human urine was utilized for characterization of metabolite profiles of flight line personnel for potential biomarker discovery. This project was a collaborative research effort between the US Air Force (USAF) and the Japan Air Self-Defense Force (JASDF) to correlate flight line exposure to jet fuel volatile organic compounds (VOC)/exhaust with NMR-derived urinary metabolite profiles obtained from USAF personnel (JP-8 fueled aircraft) and Japanese personnel (JP-4 fueled aircraft) working F-15 and C-130 flight lines. Urine was collected from volunteers at USAF and JASDF air bases located in Japan preshift, postshift and the following morning. Metabolomics data suggested that urinary metabolite profiling may be a useful tool for monitoring flight line personnel exposures to hazardous chemicals. Incorporating select metadata (i.e. total VOC exposure, time on flight line, etc.) influenced NMR spectra to enhance the discriminatory power and accuracy of the metabolomics data analysis. Additional work is still required to identify key metabolites that are predictive of exposure to jet fuels or combustion products.
Simulação de Monte Carlo aplicada à análise econômica de pedido

The use of mathematical and statistical methods can help managers to deal with decision-making difficulties in the business environment. Some of these decisions are related to productive capacity optimization in order to obtain greater economic gains for the company. Within this perspective, this study aims to present the establishment of metrics to support economic decisions related to process or not orders in a company whose products have great variability in variable direct costs per unit that generates accounting uncertainties. To achieve this objective, is proposed a five-step method built from the integration of Management Accounting and Operations Research techniques, emphasizing the Monte Carlo simulation. The method is applied from a didactic example which uses real data achieved through a field research carried out in a plastic products industry that employ recycled material. Finally, it is concluded that the Monte Carlo simulation is effective for treating variable direct costs per unit variability and that the proposed method is useful to support decision-making related to order acceptance.
Legal Judgment Elements Extraction Approach with Law Article-aware Mechanism

Legal judgment elements extraction (LJEE) aims to identify the different judgment features from the fact description in legal documents automatically, which helps to improve the accuracy and interpretability of the judgment results. In real court rulings, judges usually need to scan both the fact descriptions and the law articles repeatedly to find out the relevant information, and it is hard to acquire the key judgment features quickly, so legal judgment elements extraction is a crucial and challenging task for legal judgment prediction. However, most existing methods follow the text classification framework, which fails to model the attentive relations of the law articles and the legal judgment elements. To address this issue, we simulate the working process of human judges, and propose a legal judgment elements extraction method with a law article-aware mechanism, which captures the complex semantic correlations of the law article and the legal judgment elements. Experimental results show that our proposed method achieves significant improvements than other state-of-the-art baselines on the element recognition task dataset. Compared with the BERT-CNN model, the proposed “All labels Law Articles Embedding Model (ALEM)” improves the accuracy, recall, and F1 value by 0.5, 1.4 and 1.0, respectively.
Keynote: Personalized medicine enabled by FSC.X technology

In the first stage of developing combinatorial drugs for treating disease, the current approach is to identify the aberrant targets molecule in the complex cellular network of signaling and regulatory pathways. We then need to find drugs for guiding the bio complex systems toward a desired state. Both tasks are ? finding needles in hays stacks? Rather than laboriously mapping out the detailed cascade of various pathways, our approach is to employ a feedback system control (FSC.X) scheme to bypass the challenges associated with simultaneously considering/manipulating multiple cellular pathways. In addition, we have harnessed these control schemes to rationally design combinatorial drug therapy modalities to stimulate the bio systems with improved efficacy and low toxicity. This imposes another challenge which pertains to the large parameter space. For example, N drugs with C concentrations each would result in CN potential search trials. With the feedback system optimization approach, we have demonstrated that only tens of searches instead of CN cases are needed to identify the optimized drug cocktail.
Core–shell bioprinting as a strategy to apply differentiation factors in a spatially defined manner inside osteochondral tissue substitutes

One of the key challenges in osteochondral tissue engineering is to define specified zones with varying material properties, cell types and biochemical factors supporting locally adjusted differentiation into the osteogenic and chondrogenic lineage, respectively. Herein, extrusion-based core–shell bioprinting is introduced as a potent tool allowing a spatially defined delivery of cell types and differentiation factors TGF-β3 and BMP-2 in separated compartments of hydrogel strands, and, therefore, a local supply of matching factors for chondrocytes and osteoblasts. Ink development was based on blends of alginate and methylcellulose, in combination with varying concentrations of the nanoclay Laponite whose high affinity binding capacity for various molecules was exploited. Release kinetics of model molecules was successfully tuned by Laponite addition. Core–shell bioprinting was proven to generate well-oriented compartments within one strand as monitored by optical coherence tomography in a non-invasive manner. Chondrocytes and osteoblasts were applied each in the shell while the respective differentiation factors (TGF-β3, BMP-2) were provided by a Laponite-supported core serving as central factor depot within the strand, allowing directed differentiation of cells in close contact to the core. Experiments with bi-zonal constructs, comprising an osteogenic and a chondrogenic zone, revealed that the local delivery of the factors from the core reduces effects of these factors on the cells in the other scaffold zone. These observations prove the general suitability of the suggested system for co-differentiation of different cell types within a zonal construct.