Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Performance Enhancement of a Triple Active Bridge With Power Decoupling-Based Configurable Model Predictive Control

The multiport active bridge (MAB) converter has been recently proposed aiming to increase the power density and the availability of electrical power distribution systems. However, the dynamic performance of proportional-integral (PI) controller for MAB voltage control is characterized by a relatively slow response and large overshoot. To address this issue, a power decoupling based configurable model predictive control (PDC-MPC) strategy inspired by the model predictive control (MPC) was developed. The proposed control strategy can achieve good transient performance and high control flexibility with good precision to comply to dc voltage regulations. In this article, the PDC-MPC was investigated and implemented in a triple active bridge (TAB) converter with multiwinding high frequency transformers. The operating principle of the PDC-MPC is divided into two phases: prediction of the dc current through a binary search and decoupling of the desired power of each isolated virtual branch to its phase shift angles under the single phase shift (SPS) modulation strategy. Steady-state and dynamic performances of the proposed PDC-MPC for TAB converters were analyzed using modified cost function and predictive models. Simulation and experiments were conducted to validate the theoretical analyses.
An approach based on singular spectrum analysis and the Mahalanobis distance for tool breakage detection

The failure of cutting tools significantly decreases machining productivity and product quality; thus, tool condition monitoring is significant in modern manufacturing processes. A new method that is based on singular spectrum analysis and Mahalanobis distance are combined to extract the crucial characteristics from spindle motor current to monitor the tool's condition. The singular spectrum analysis is a novel nonparametric technique for extracting the properties of nonlinear and nonstationary signals. However, because the components are not completely independent, the original singular spectrum analysis eventually leads to misinterpretation of the final results. The proposed method is used to overcome the weakness of the original singular spectrum analysis. The singular spectrum analysis algorithm is adopted to decompose the original signal and the useful singular values that correspond to the tool condition can be extracted. The Mahalanobis distance of the singular values is proposed as a feature that can effectively express the tool condition. The experiments on a CNC Vertical Machining Center demonstrate that this method is effective and can accurately detect the tool breakage in mill process.
Depiction of the Variations of Great Plains Precipitation and Its Relationship with Tropical Central-Eastern Pacific SST

Abstract Several advanced analysis tools are applied to depict the time–frequency characteristics of the variations of Great Plains (GP) precipitation and its relationship with tropical central-eastern Pacific Ocean sea surface temperature (SST). These tools are advantageous because they reveal the detailed features of the dominant time scales of precipitation variations, the combined effects of multiscale oscillating signals on the intensity of precipitation, and the variations of SST–precipitation relationships in time and frequency domains. The variability of GP precipitation is characterized by strong annual and semiannual signals, which have the most stable oscillating frequencies and the largest amplitudes. However, nonseasonal signals, which are less oscillatory and have smaller amplitudes and more variable frequencies with time, also contribute significantly to precipitation variability and may modify the seasonal cycle of GP precipitation. The phase of these nonseasonal signals is in phase (out o.
In Vitro and In Vivo Toxicometabolomics of the Synthetic Cathinone PCYP Studied by Means of LC-HRMS/MS

Synthetic cathinones are one important group amongst new psychoactive substances (NPS) and limited information is available regarding their toxicokinetics and -dynamics. Over the past few years, nontargeted toxicometabolomics has been increasingly used to study compound-related effects of NPS to identify important exogenous and endogenous biomarkers. In this study, the effects of the synthetic cathinone PCYP (2-cyclohexyl-1-phenyl-2-(1-pyrrolidinyl)-ethanone) on in vitro and in vivo metabolomes were investigated. Pooled human-liver microsomes and blood and urine of male Wistar rats were used to generate in vitro and in vivo data, respectively. Samples were analyzed by liquid chromatography and high-resolution mass spectrometry using an untargeted metabolomics workflow. Statistical evaluation was performed using univariate and multivariate statistics. In total, sixteen phase I and one phase II metabolite of PCYP could be identified as exogenous biomarkers. Five endogenous biomarkers (e.g., adenosine and metabolites of tryptophan metabolism) related to PCYP intake could be identified in rat samples. The present data on the exogenous biomarker of PCYP are crucial for setting up analytical screening procedures. The data on the endogenous biomarker are important for further studies to better understand the physiological changes associated with cathinone abuse but may also serve in the future as additional markers for an intake.
Turbulent boundary-layer growth and separation on a yawed cone.

Turbulent and Laminar Wakes," AIAA Journal, Vol. 6, No. 10, Oct. 1968, pp. 2027-2029. 16 Clay, W. G. , Herrmann, J., and Slattery, R. E. , "Statistical Properties of the Turbulent Wake behind Hypervelocity Spheres," The Physics of Fluids, Vol. 8, 1965, pp. 1792-1801. 17 Schapker, R. L. , "Statistics of High Speed Turbulent Wake Boundaries," AIAA Journal, Vol. 4, No. 11, Nov. 1966, pp. 1979-1987. is Herrmann, J. et al., "Some Statistical Properties of Turbulent Wakes," Specialists' Meeting of the Fluid Dynamics Panel of AGARD, AGARD Conference Proceedings 19, 1967. 19 Townsend, A. A. , The Structure of Turbulent Shear Flows, Cambridge University Press, London, 1956. 20 Demetriades, A. , "Turbulence Measurements in an Axisymmetric Compressible Wake," Tech. Rept. Pub. UG-4118, Aug. 1967, Philco-Ford Corp. 21 Becker, H. A. , Hottel, A. C. , and Williams, G. C. , "The Nozzle-fluid Concentration Field of the Round, Turbulent, Free Jet," Journal of Fluid Mechanics, Vol. 30, No. 2, 1967, pp. 285303.
Accurate Detection of Salmonella Based on Microfluidic Chip to Avoid Aerosol Contamination

Salmonella is a type of common foodborne pathogen of global concern, seriously endangering human health. In molecular biological detection of Salmonella, the method of amplifying DNA often faces the problem of aerosol pollution. In this study, a microfluidic chip was developed to integrate loop-mediated isothermal amplification (LAMP) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a system to detect Salmonella. The LAMP reaction solution was initially injected into the chamber to amplify at 65 °C for 20 min; the CRISPR/Cas12a reaction solution was subsequently injected to mix with the amplicons for fluorescent signal production at 43 °C for 30 min. Then, the results can be confirmed by naked eyes under 495 nm light or by a fluorescence immunochromatographic reader. The detection limit of this method for Salmonella DNA was 118 pg/μL. The sensitivity and specificity of this method was 100%. Furthermore, this method was used to detect Salmonella after enrichment for 4 h in salmon and chicken samples spiked with 30 CFU/25 g, and was verified to have a stable detection capability in real samples. The microfluidic chip integrated with the LAMP and CRISPR/Cas12a system not only provides a possibility of highly sensitive endpoint fluorescent visual detection of a foodborne pathogen, but also greatly eliminates the risk of aerosol contamination.
Solvent-Free Microwave Extraction of Essential Oils from Litsea cubeba (Lour.) Pers. at Different Harvesting Times and Their Skin-Whitening Cosmetic Potential

Litsea cubeba fruit, which has the highest content of essential oils in the plant, is an important woody oil plant resource. In this study, the influence of the solvent-free microwave extraction (SFME) and hydrodistillation (HD) techniques on the extraction of L. cubeba fruit essential oils was investigated in terms of yield, kinetics, and chemical composition, where the former conditions were optimized by the response surface design. The maximal essential oil yield was obtained under the optimal SFME process conditions (442 W and 24 min), where the irradiation time was the most important variable (p < 0.0001). Regardless of the extraction method used, the influence of harvesting time on L. cubeba fruit essential oils were quantitatively and qualitatively analyzed afterwards, where the SFME essential oil from July showed its superiority over the others regarding its higher extraction yield and better bioactivities. Compared with the HD method, the SFME approach could significantly enhance the yield of essential oils extracted from June to August by nearly 47% with the advantages of saving energy and low environmental impact. Interestingly, the SFME method could selectively extract monoterpene hydrocarbons such as D-limonene with relation to different compositions and bioactivities. Moreover, SFME essential oil showed a better inhibitory effect on tyrosinase and melanogenesis, indicating its skin-whitening potential as a new promising natural cosmetic ingredient.
Effect of Boundaries and Isotopes on the Thermal Conductivity of LiF

also to the coupling to the elastic waves whose velocities depend on the direction. If 0 is close to the cv"s, no clear separation of thermal wave propagation and diffusion of heat is possible. The situation can be analyzed by plotting our result [see Eq. (89b)] for the heat response function. We have done this explicitly for a specialized case. The quasiparticle interaction, described by I, has been taken into account throughout the paper. Although this does not seem to be of direct experimental interest for low temperatures in a crystal, it might be of importance for higher values of To. Equation (19) shows how one has to determine I experimentally. Obviously the theory developed is very closely related to the problems of deriving hydrodynamic equations for superQuid He". "" There it is known that ~(p) varies strongly with temperature if rotons are excited. Our technique could be of interest in this field.
Assessing the Needs and Experiences of First-Generation Students’ Transition to Remote Learning Due to COVID - 19 Pandemic at a Hispanic Serving Institution

Due to the uncertainty of the COVID-19 pandemic in the Spring of 2020, college students’, including first-generation students, were forced to transition to remote learning. First-gen students traditionally face many challenges in their academic and personal lives. The purpose of this evaluation research project is to understand the impact this major shift has had on first- generation college students’ learning and challenges they faced in this process. Initially, a first- gen committee decided to conduct an assessment to evaluate how our undergraduate first-gen students were experiencing an unanticipated and rapid move to remote learning including their college experiences. 1,318 students participated in the survey measuring students’ attitudes, perceptions, experiences, and their demographic background information and included feedback from one open-ended qualitative question. The results of the survey showed significant findings pertaining to first-gen students’ in three areas: 1) Academic Learning Environment; 2) Financial Challenges; and 3) Psychological Well-Being. In response to the assessment, the First-Gen Proud committee suggested recommendations to faculty and staff to assist in supporting first- gen students at Texas State University.
The Effect of Blended Learning Model (BLM) on Student Achievements: A Meta-Analysis

: The 21st-century learning requires teachers to develop the abilities of students and change the learning system from teacher-centered to student-centered. In fact, the learning process still uses conventional and teacher-centered methods, so that student learning outcomes are low. For this reason, the BLM (Blended Learning Model) is applied to improve student learning outcomes in physics subjects. This study aims to determine the effect of similar studies using the BLM on students’ achievement. The type of research used is meta-analysis research with a quantitative approach. The results of this study are the first, namely the influence of similar studies from the BLM which shows that BLM has a significant influence on student achievement. Second, based on grade level, the effect of similar studies from the BLM shows that grade XI has a more significant impact. Third, based on the learning material, the effect of similar studies from the BLM shows that the optical topic has a significant impact. Fourth, based on learning media that has a more significant impact than similar studies, namely the schoology application. This research can be used as a reference for developing BLM on different materials, school levels, and various interactive media.
X-mode heterodyne reflectometer for edge density profile measurements on Tore Supra

A new broadband reflectometer operating in the frequency range 50–75 GHz in extraordinary mode polarization has been developed and tested on Tore Supra to measure edge density profiles. Using solid state source and active frequency multipliers, it performs routine measurements in 20 μs. Modulation of the source frequency is the clue to heterodyne detection in order to ensure a high dynamic sensitivity without any phase locking system. The reflectometer can achieve a repetition rate of 5 μs between sweeps, so the dynamic behavior of fast plasma events can be followed. The profile is reconstructed fully automatically from raw data and initialization is given by detection of the first cutoff. The profiles are part of the public database of Tore Supra. High reliability of the measurements for various plasma conditions makes this diagnostic an ideal tool to study the plasma–surface interaction physics and rf antenna coupling processes.
Performance Evaluation of ROS-Based SLAM Algorithms for Handheld Indoor Mapping and Tracking Systems

Simultaneous localization and mapping (SLAM) is an important field of work not only in robotics, but also in mobile platforms. This research work provides insights into how SLAM techniques are deployed in an indoor environment to aid first responders with their duties. Due to the hazardous nature of the environment and the need for sensitivity due to the potential involvement of human subjects, autonomous robots cannot be used. So, the first responders must carry the scanning equipment and perform SLAM at the same time. As a result, unlike standard robot platforms, there will be no reliable odometry source, and SLAM will have to deal with the user’s unpredictable movement. In this work, we compare and examine robotic operating system (ROS)-based SLAM approaches without using any odometry for their application in the above-mentioned circumstances. Gmapping, HectorSLAM, and Cartographer have been chosen as the candidates for this evaluation. We evaluated these approaches in two different environments: a lab office and a long corridor. The research results show that Cartographer outperforms the other two techniques in our test setup in terms of map quality and trajectory tracking. The Cartographer’s mapping error ranged from 0.017 to 0.3548 m.
Object detection in order to determine locations for wildlife crossings

The intensive construction of road infrastructure due to urbanization and industrialization around the world carries with it negative environmental impacts, primarily due to increased emissions of gases, but also due to the separation of natural habitats and ecosystems. In order to overcome this problem, without affecting the mobility of the population, it is necessary to allow wild animals to cross over or below the roads, i.e. to create wildlife crossings, which requires knowledge of the locations where the corridors of animal movements intersect with existing or planned roads. This paper analysis the establishment of a camera system and the application of a deep learning methodology for the automatic identification of animals by species and number, in order to determine locations for the construction of crossings for large wildlife. Also, the paper presents the possibility of using geographic information systems to analyze information obtained by monitoring built wildlife crossings.
A unified approach to secret sharing schemes with low distribution cost

Abstract In secret sharing schemes, the secret holder has to distribute secret shares to each participant before distributing the secrets. To distribute or redistribute shares is a very costly process with respect to both time and resources. Unlike previous works, where different approaches are proposed for different scenarios, we propose a unified approach for both threshold‐based schemes and generalized group‐oriented cryptosystems. This unified implementation has the following merits: (1) With a unified approach, the implementation requires much less overhead than its counterparts when various secret sharing problems are simultaneously involved; (2) The Secret Holder (SD) does not need to redistribute new secret shares after the secret reconstruction; (3) The SD can, dynamically and efficiently, determine the capacities (weight) of each user on recovering the secrets, and the threshold values of the secrets; (4) To dynamically adjust the capacities of users, the SD does not need to refresh the shadow of each user and each user just memorizes one secret shadow.
The Dynamics of Cryptococcus neoformans Cell and Transcriptional Remodeling during Infection

The phenotypic plasticity of Cryptococcus neoformans is widely studied and demonstrated in vitro, but its influence on pathogenicity remains unclear. In this study, we investigated the dynamics of cryptococcal cell and transcriptional remodeling during pulmonary infection in a murine model. We showed that in Cryptococcus neoformans, cell size reduction (cell body ≤ 3 µm) is important for initial adaptation during infection. This change was associated with reproductive fitness and tissue invasion. Subsequently, the fungus develops mechanisms aimed at resistance to the host’s immune response, which is determinant for virulence. We investigated the transcriptional changes involved in this cellular remodeling and found an upregulation of transcripts related to ribosome biogenesis at the beginning (6 h) of infection and a later (10 days) upregulation of transcripts involved in the inositol pathway, energy production, and the proteasome. Consistent with a role for the proteasome, we found that its inhibition delayed cell remodeling during infection with the H99 strain. Altogether, these results further our understanding of the infection biology of C. neoformans and provide perspectives to support therapeutic and diagnostic targets for cryptococcosis.
Collisional activation mass spectra

Collision with gas molecules can be used to add internal energy to gaseous ions in transit through a mass spectrometer, causing their subsequent unimolecular decomposition. Mass analysis of the resulting fragment ions produces a collisional activation mass spectrum whose utility is basically similar to that of a normal mass spectrum. Promising applications to date have been found in ion structure characterization for fundamental studies and molecular structure determination, for which the insensitivity of the collisional activation mass spectrum to the ion’s internal energy is a unique advantage; examples are given for structure determination of C7H7+ and CSH3+ isomers. An additional application attracting increasing attention is as a separation/identification technique for complex mixtures; this involves mass spectrometric separation of the ionized mixture components followed by their identification from the corresponding collisional activation (or metastable ion) mass spectra. This two-dimensional mass spectrometry (‘m.s.-m.s.’) technique is complementary to g.c. -m.s. and liquid chromatography - mass spectrometry, and its use is illustrated by the determination of trace components in gasoline and the chirality of organophosphates.
Population Structure of Thrips parvispinus Karny (Thysanoptera: Thripidae) and Population Abundance of Predatory Insect on Red Chili (Capsicum annuum L.) Treated with Imidacloprid Insecticide

In Indonesia, the pest Thrips parvispinus Karny is a major problem for red chili plants. Most pest control techniques rely on synthetic pesticides, resulting in environmental degradation, the extinction of natural enemies, and the emergence and resilience of a variety of different pests. The aim of this study is to determine the impact of a 25% Imidacloprid insecticide on population density and the proportion of infestations and natural enemies in the field. A randomized block design with 5 treatments and 5 replications was utilized in this field investigation. Plant samples were collected in a “U-shaped” pattern. According to the findings, a 25% Imidacloprid pesticide had a significant influence on population density and T. parvispinus attack on red chili plants. Moderate damage was caused by T. parvispinus’ infestation on red chili plants using 50-200 L.ha-1 25 % Imidacloprid pesticide. Furthermore, a 25 % Imidacloprid insecticide applied at a rate of 100 L.ha-1 had a significant influence on the population variety and abundance of T. parvispinus natural enemies. A 25 % Imidacloprid insecticide dosage increase was shown to have a very strong relationship with a reduction in population density, the proportion of T. parvispinus assault, and the variety and quantity of natural enemies in red chili. Thus, a 25 % Imidacloprid insecticide at a rate of 100 L.ha-1 proved successful in reducing T. parvispinus while remaining safe for natural enemies. Future pest control techniques must still be based on improved field data collection, such as data on pesticide contamination or other anthropogenic chemicals, which may also be used to estimate natural enemy population levels in the field.