Miracle-dz/UniFAR-FTUs huggingface dataset:
Small Signal Model Of The Cockcroft-Walton Voltage Multiplier

In this Cockcroft-Walton project, the theory of this method is to build power supply that can generate voltage with low current. Designing the circuit based on the basic of Cockcroft-Walton circuit that consist of capacitors and diodes. Both components with their characteristics will act to produce the desired output voltage. This method also has its disadvantage as stated in chapter before. The problem statement is hard to maintain or reduce ripples, and the voltage drop under load, which accounts for the popularity of driving a multiplier stack with a switching power supply. Some objectives are to learn in designing power supply, to understand the theory of CockcroftWalton and to comprehend well about software will be used. The methodology for this project is firstly preparing Gantt chart, doing literature review and software simulation and demonstration of the completed project. The result hopefully can fulfill the theory of the Cockcroft-Walton which main point is to generate voltages from AC to DC voltage.
Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images

Abstract Travel time estimation plays an essential role in the high-granular traffic control and management of urban roads with distinct lane-changing conditions among lanes. However, little attention has been given to the estimation of distributions of travel times among different lanes and different vehicle types in addition to their expected values. This paper proposes a new method for estimating lane-based travel time distributions with consideration of different vehicle types through matching low-resolution vehicle video images taken by conventional traffic surveillance cameras. The vehicle type classification is based on vehicle sizes and deep learning features extracted by densely connected convolutional neural networks, and the vehicle re-identification is conducted through a lane-based bipartite graph matching technique. A case study is carried out on a congested urban road in Hong Kong. Results show that the proposed method performs well in estimating the lane-level travel time distributions by vehicle type which can be very helpful for various lane-based and vehicle type-specific traffic management schemes.
A simple transformation from lowpass to bandpass filter using a new quasi‐arrow head defected ground structure resonator and gap‐J‐inverter

In this article, a new compact quasi‐arrow head defected ground structure (DGS) lowpass filter (LPF) is proposed. The proposed DGS behaves as a resonant element which allows size compactness and harmonic suppression in the rejection band. The proposed LPF presents the advantages of compactness, low insertion loss, and ultrawide stopband with 20 dB attenuation from 6 GHz to >20 GHz. The length of the proposed multilayer LPF is reduced to 0.143 λg at 3 GHz in comparison with 0.2 λg for the cascaded topology with λg = 0.157 m. A novel compact bandpass filter (BPF) is presented by utilizing a simple transformation from LPF based on J‐inverter technique. The proposed BPF has low insertion loss and compact size. Finally, the simulated and experimental results of proposed structure are found to be in good agreement with the simulation results. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:947–953, 2016
Does 3D Printing-Assisted Acetabular or Pelvic Fracture Surgery Shorten Hospitalization Durations among Older Adults?

Acetabular or anterior pelvic ring fractures are rare but extremely complicated and challenging injuries for orthopedic trauma surgeons. Three-dimensional (3D) printing technology is widely used in the management of these two fracture types for surgical benefits. Our study aimed to explore whether 3D printing-assisted acetabular or pelvic surgery is beneficial in terms of shortening the length of hospital stay (LHS) and intensive care unit (ICU) stay (ICU LS) for older patients. This retrospective study included two groups of 76 participants over 60 years old who underwent operations with (n = 41) or without (n = 35) guidance by 3D printing. The Mann–Whitney U test was used to analyze continuous variables. Chi-square analysis was applied for categorical variables. Univariable and multivariable linear regression models were used to analyze the factors associated with LHS. The median LHS in the group without 3D printing assistance was 16 (12–21) days, and the median ICU LS was 0 (0–2) days. The median LHS in the group with 3D printing assistance was 17 (12.5–22.5) days, and the median ICU LS was 0 (0–3) days. There was no significant difference in LHS associated with 3D printing assistance vs. that without 3D printing among patients who underwent open reduction and internal fixation for pelvic or acetabular fractures. The LHS positively correlated with the ICU LS whether the operation was 3D printing assisted or not. For fracture surgery in older patients, in addition to the advancement of surgical treatment and techniques, medical teams require more detailed preoperative evaluations, and more personalized medical plans regarding postoperative care to achieve the goals of shortening LHS, reducing healthcare costs, and reducing complication rates.
Student's T-process Regression on the Space of Probability Density Functions

This study provides an extension of the Student’s t - process regression (TPR) on the space of probability density functions as a method of system identiﬁcation for the data set consist of noisy inputs and deterministic outputs with additive noises. With introducing the distance metrics of the probability density functions, the TPR can be naturally extended to the space of the probability density functions and thus prediction and hyper parameter estimation can be implemented by the same fashion of the ordinary model. In addition, with a numerical example of the proposed model, we introduce the Markov Chain Monte Carlo method for hyper parameter estimation.
Subtitle creation and subtitle alignment as didactic resources for foreign language teaching (Creación de subtítulos y alineación de segmentos como recursos didácticos para la enseñanza de una lengua extranjera)

ABSTRACT Translation and subtitle creation have been proven to enhance communicative skills in a foreign language (FL). Also, aligned parallel corpora have been previously used as a didactic tool in FL learning. However, the conjunction of these aspects is innovative as it has not been implemented in a teaching environment before to foster students’ competence in an FL. Thus, the project described here focuses on the combination of both aspects to foster students’ competence in an FL. This manuscript aims to describe the in-class tasks to be done by students and assess the impact of participating in the project, as well as to compile a vast electronic linguistic corpus.
Field bindweed control with quinclorac in highbush blueberry

Abstract Field bindweed is a perennial vining weed with vigorous growth, and is commonly found in highbush blueberry fields of Oregon. It requires and integrated strategy using multiple applications of postemergence herbicides and hand weeding for adequate control. Quinclorac is a herbicide that has been shown to control field bindweed, but no information is available indicating the tolerance of blueberry to quinclorac. The objective of this study was to evaluate the response of blueberry to quinclorac and to evaluate field bindweed control with quinclorac in different mixtures. Three groups of field studies were designed to assess 1) single application control of field bindweed, 2) use of sequential treatments to control field bindweed, and 3) long-term impact of quinclorac on field bindweed. In the single application control studies, a single application of quinclorac at 210 or 420 g ai ha–1 alone or in a mixture with rimsulfuron (35 g ai ha–1) or carfentrazone (35 g ai ha–1), controlled field bindweed by 69% to 76% while reducing its biomass between 22% and 44% compared to the nontreated control (61 g m–2). In a sequential treatment study, a single application of quinclorac (420 g ai ha–1) provided 83% to 100% control of field bindweed, outperforming three sequential applications of carfentrazone. In the long-term study, a single application of quinclorac reduced field bindweed biomass by 50% to 82% in 2019 and 62% to 87% in 2020. These results indicate that quinclorac can be safely applied to highbush blueberry plants. Early spring applications of quinclorac to field bindweed will reduce or eliminate the need for subsequent applications later in the season. Nomenclature: quinclorac; carfentrazone; mesotrione; rimsulfuron; glufosinate; field bindweed; Convolvulus arvensis L. ; highbush blueberry; Vaccinium corymbosum L.
A simple PDE-constrained Optimization Problem to Evaluate the Strategy for Fishery Resource Transportation

We present a new impulse control problem of degenerate parabolic Fokker-Planck equations that govern stochastic growth dynamics of biological resource from the viewpoint of probability density functions of the body weight. The problem we focus on is impulsively transporting a resource population from a habitat to other habitat(s), which stems from a recent engineering problem in a river in Japan. A formula of the optimal control is theoretically derived with the help of an adjoint equation method. A remarkable point is simplicity of the problem such that finding the optimal control can be achieved by only solving an adjoint equation. We present a demonstrative computational example of Ayu sweetfish Plecoglossus altivelis altivelis utilizing a very recent Weighted Essentially Non-Oscillatory method.
Methylated porous low-k materials: critical properties and plasma resistance

Porous OSG low-k dielectrics deposited by using TEOS and MTEOS mixture with different ratios and Brij® 30 surfactant. The deposited samples contain a different concentration of terminal methyl groups that is proportional to MTEOS concentration. An increase in the methyl groups concentration by changing TEOS/MTEOS ratio decreases the open porosity, k-value, and Young’s modulus and increases the mean pore radius although the template concentration was kept constant. Plasma damage by fluorine radicals depends on the carbon concentration in the films. It can be reduced by 60% when the carbon concentration in the film exceeds 10 atomic percent as measured by XPS (the films deposited with TEOS/MTEOS ratio 40/60).
A general adaptive ridge regression method for generalized linear models: an iterative re-weighting approach

Abstract This article is concerned with the problem of variable selection and estimation for high dimensional generalized linear models. In this article, we introduce a general iteratively reweighted adaptive ridge regression method (GAR). We show that the GAR estimator possesses oracle property and grouping effect. A data-driven parameter γ is introduced in the GAR method to adapt the different cases of the true model. Then, such an adaptive parameter γ is adequately taken into consideration to establish a γ-dependent sufficient condition to guarantee the oracle property and the grouping effect. Furthermore, to apply the GAR method more efficiently, a coordinate-wise Newton algorithm is employed to successfully avoid the inverse matrix operation and the numerical instability caused by iteration. Extensive numerical simulation results show that the GAR method outperforms the commonly used methods, and the GAR method is tested on the gastric cancer dataset for further illustration.
Fungal Endophytes and Their Role in Agricultural Plant Protection against Pests and Pathogens

Virtually all examined plant species harbour fungal endophytes which asymptomatically infect or colonize living plant tissues, including leaves, branches, stems and roots. Endophyte-host interactions are complex and span the mutualist–pathogen continuum. Notably, mutualist endophytes can confer increased fitness to their host plants compared with uncolonized plants, which has attracted interest in their potential application in integrated plant health management strategies. In this review, we report on the many benefits that fungal endophytes provide to agricultural plants against common non-insect pests such as fungi, bacteria, nematodes, viruses, and mites. We report endophytic modes of action against the aforementioned pests and describe why this broad group of fungi is vitally important to current and future agricultural practices. We also list an extensive number of plant-friendly endophytes and detail where they are most commonly found or applied in different studies. This review acts as a general resource for understanding endophytes as they relate to potential large-scale agricultural applications.
Optimization algorithm for high precision RGB-D dense point cloud 3D reconstruction in indoor unbounded extension area

Aimed at the problems existing in the present Red Green Blue-Depth (RGB-D) three-dimensional (3D) reconstruction algorithms in the unbounded extension area, such as low accuracy, inaccurate pose estimation, and more restrictions on data set shooting, an optimization algorithm for indoor unbounded RGB-D dense point cloud 3D reconstruction with high accuracy is proposed. The algorithm aims at obtaining better pose estimation during image construction. In the image preprocessing stage, normal direction information is given to each point cloud. In camera pose estimation, since perspective-n-points (PNPs) pose estimation is more accurate and has a smaller cumulative error than the traditional near-point iterative algorithm, this paper improves PNP pose estimation and puts it into the pose estimation algorithm. Direct average distribution of errors to achieve loop closure will affect the accuracy of pose estimation. In this study, Similarity Transformation of 3 Points was used to optimize the solution before global Bundle adjustment, enhancing the closed-loop performance of the algorithm. Experimental verification showed that the error of the proposed algorithm for indoor environment reconstruction was about 2 cm at macro and small scales, and the reconstruction error was less than 2%. It can be widely used for RGB-D 3D reconstruction of large indoor scenes and has high accuracy in pose estimation and mapping.
Unveiling Naturally Occurring Green Tea Polyphenol Epigallocatechin-3-Gallate (EGCG) Targeting Mycobacterium DPRE1 for Anti-Tb Drug Discovery

The increasing rates of multidrug-resistant (MDR) and extremely drug-resistant (XDR) cases of tuberculosis (TB) strains are alarming, and eventually hampered the effective control of the pathogenic disease. Epigallocatechin gallate (EGCG) is a major polyphenolic constituent of green tea, which previously demonstrated in vitro potency against TB strains. However, efforts to elucidate the exact mechanism of the interaction are still ongoing. Aiming to elucidate the probable mechanism of its anti-TB action as decaprenylphosphoryl-beta-D-ribose 2′-epimerase (DprE) inhibition, we conducted a molecular modeling analysis. Our molecular docking analysis for a set of 65 bioactive compounds of tea realized that EGCG has the highest binding affinity (docking score: −142.98 kcal/mol) against DPRE (pdb id: 4p8c) from Mycobacterium tuberculosis. Further, a molecular dynamics analysis of 100 ns resulted in extreme stability of the ligand–protein complex. We further assessed the in silico pharmacokinetics and toxicities of the top three green tea polyphenols, based on the docking scores. Our results provide critical insights into the mechanism of action of EGCG and other green tea polyphenols, and their use as potential therapeutic agents (DprE1) against TB.
Coordinated design of fuzzy-based speed controller and auxiliary controllers in a variable speed wind turbine to enhance frequency control

This paper proposes novel controllers for doubly fed induction generator (DFIG)-based wind turbines. These controllers not only optimize the transient behaviour of DFIGs, but also realize their participation in the power system frequency control task. The proposed controllers include one main speed controller as well as two auxiliary controllers. The main speed controller is a fuzzy-based controller which their parameters are optimized using the genetic algorithm (GA) to achieve the optimal transient response. It applies the rotational speed signal and causes the DFIG to return to the maximum power point (MPP) quickly after any turbulent in the wind speed. Moreover, two smart auxiliary controllers, i.e., frequency deviation and wind speed oscillations controllers are suggested. The frequency deviation controller enables the DFIG frequency support and the wind speed oscillations controller alleviates the impacts of wind speed fluctuations on the wind turbine output power both with utilizing the wind turbine kinetic energy. To investigate the efficiency of main controller, two case studies are considered. Moreover, some time domain simulations are performed on IEEE 39-bus system to evaluate the influences of the auxiliary controllers on the load frequency control task. Results confirm the effectiveness and superiority of the proposed controllers.
Portable Coffin Lowering Device for COVID-19 Corpse Handling: Education, Design Process, and Strength Analysis

With the growing rate of the COVID-19 case that has not decreased significantly, healthcare workers are required to work extra both in the hospital and for the corpses' funeral process. Since the corpse condition is different from a normal corpse, the treatment must also be different. The objective of this paper is to propose a portable device as an education tool that can ease the burial process of COVID-19 corpse. This device can be operated by only two people, and the load is bearable because there is a worm gear system that helps the pulley system. Other supporting features will be explained in this paper. Theoretical strength analyses are conducted under static and fatigue loading. From the static case, based on the Maximum Shear Stress failure criterion, the safety factors on the critical parts are 1.28 and 5.67. Then, fatigue strength analysis is conducted to provide life prediction for this device. As a result, the fatigue safety factors are found to be greater than 1. These findings indicate that the proposed design is appropriate for real-world use and can be further studied for manufacturing.
A High-speed Large-capacity Embedded Storage System Based on SATA

The paper analyzes the problems and defects of traditional data storage systems and SATA storage and put forward a new system for the applications of embedded high-speed storage system by two steps: First, the system carry out improved SATA storage channels on embedded applications background. Second, the system established control and data distribution module through real-time switching mechanism against rate decreased drastically that affect system stability issues when write to SATA channels. The control and data distribution module established by two steps: ķIndirectly detect SATA channel data rate steep drop by inspecting cache. 1) Decide whether to switch the storage group or not when fine a steep drop or the block of data has been store into the storage medium. The control and data distribution module could action as load balancing mechanism module while solving the write data rate steep drop of SATA channels, the architecture of which support the bandwidth and capacity of the storage system to expansion expediently. Experiment validated real-time adaptive switching mechanism resolve the non-steady state of the system, which resolves the memory bandwidth bottleneck and the question of storage versatility. (6 pages)
Personalized Management of Myocarditis and Inflammatory Cardiomyopathy in Clinical Practice

Myocarditis is an inflammatory heart disease induced by infectious and non-infectious causes frequently triggering immune-mediated pathologic mechanisms leading to myocardial damage and dysfunction. In approximately half of the patients, acute myocarditis resolves spontaneously while in the remaining cases, it may evolve into serious complications including inflammatory cardiomyopathy, arrhythmias, death, or heart transplantation. Due to the large variability in clinical presentation, unpredictable course of the disease, and lack of established causative treatment, myocarditis represents a challenging diagnosis in modern cardiology. Moreover, an increase in the incidence of myocarditis and inflammatory cardiomyopathy has been observed in recent years. However, there is a growing potential of available non-invasive diagnostic methods (biomarkers, serum anti-heart autoantibodies (AHA), microRNAs, speckle tracking echocardiography, cardiac magnetic resonance T1 and T2 tissue mapping, positron emission tomography), which may refine the diagnostic workup and/or noninvasive follow-up. Personalized management should include the use of endomyocardial biopsy and AHA, which may allow the etiopathogenetic subsets of myocarditis (infectious, non-infectious, and/or immune-mediated) to be distinguished and implementation of disease-specific therapies. In this review, we summarize current knowledge on myocarditis and inflammatory cardiomyopathy, and outline some practical diagnostic, therapeutic, and follow-up algorithms to facilitate comprehensive individualized management of these patients.
Development of “Authentic Assessment” Instruments Basic Forehand and Backhand Groundstroke Techniques Based On “Actions Method” Learning Outcomes of Field Tennis Courses for Faculty of Sports Science of Yogyakarta State University Students

To conduct an assessment of the basic forehand and backhand groundstroke skills of student learning outcomes in the field tennis sport course, an accurate/precise assessment instrument is needed. So far, the authentic assessment instrument to assess the learning outcomes of basic forehand and backhand groundstroke techniques that are in accordance with the characteristics of the tennis game for FIK UNY students is not yet available. The purpose of this study is to develop an authentic assessment instrument model for forehand and backhand groundstroke based on actions method learning outcomes for the tennis course students of Faculty of Sports Science of Yogyakarta State University. The research instrument uses a quantitative and qualitative approach (mixed method). The research subjects used were students of the PJKR FIK UNY Study Program who had taken Field Tennis Courses. Testing the validity of the content using Content Validity Ratio (CVR) analysis, testing the reliability of the model development using Consistency Alpha Cronbach statistical analysis, and to determine the reliability between raters using the Anova-General Multifacet Model. The results show that the authentic assessment instrument has very good content validity (CVR) = 0.50) and a high coefficient of reliability between raters (r = 0.80), successfully developed an authentic assessment instrument for basic forehand and backhand groundstroke techniques based on actions method consisting of: (1) Confidence and Mental Game (Psychology), (2) Prior to Stroke (Perception and Decision Stage), (3) Perform the Stroke and Stroke’s Evaluation (Execution and Feedback Stage), and (4) Attitude and Behavior in Tennis Game. Thus, it can be concluded that the authentic assessment instrument for the basic forehand and backhand groundstroke based on the actions method can be used as an instrument for assessing the learning outcomes of the Court Tennis Court for FIK UNY students.