Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast electronically triggered spark gap for HV applications

The article describes the design, construction and test process of the electronically triggered module of the three-electrode spark gap for a high-voltage applications. This system allows for precise remote triggering of the spark gap using optical fiber. Very good technical parameters such as small span times and a short self-time allow to use the device in applications where precise synchronization of many high-voltage devices is needed, for example triggering several impact generators at specific time intervals. Streszczenie. W artykule opisano projekt, budowę oraz badania elektronicznego modułu wyzwalania do iskierników trójelektrodowych w zastosowaniach wysokonapięciowych. Układ ten pozwala na precyzyjne zdalne wyzwolenie iskiernika za pomocą światłowodowego układu optycznego. Bardzo dobre parametry techniczne takie jak małe rozrzuty czasu zadziałania oraz krótki czas własny pozwalają na wykorzystanie tego urządzenia w zastosowaniach wszędzie tam gdzie jest potrzebna precyzyjna synchronizacja wielu obiektów wysokonapięciowych lub na przykład wyzwolenie kilku generatorów udarów w określonych odstępach czasu. Elektroniczny moduł wyzwalania do iskierników trójelektrodowych w zastosowaniach wysokonapięciowych
Reconstruction of Caudipteryx robot to identify the origin of avian flapping flight

The origin of bird and avian flight is one of the most controversial debates since the fossil of Archaeopteryx was found in Germany. With the continuous discoveries of relative fossils of dinosaurs from all over the world, scientists have reached a consensus that the ancestors of bird might be small sized non-avian theropod dinosaurs. However, the disputation focus now remains in how the dinosaur learned to fly. Via analysis of kinematics and dynamics of reconstructed Caudipteryx robot on the test rig, we discovered that the flapping motion of the forearms of feathered dinosaurs was developed as they were only able to run on the ground when it was long before it could actually fly in the sky. This study supports the inferences that the performance of powered flapping flight was evolved long before the feathered dinosaurs could fly. This is a completely natural biophysical principle that provides a vital role to comprehend the evolution of avian flight.
Effect of heat treatment on nano-mechanical behaviour of matrix and carbide phases of Fe–13Cr–1C hardfaced alloy coating

Fe–Cr–C hardfaced coatings are applied over components used in mining, earth moving, ash and coal handling systems. The performance of these coatings depend on microstructural phases present in the deposit post-solidification and/or heat treatment. To prevent the failure of a coating, understanding the mechanical behaviour of the existing phases is one of the key areas of focus. In the current investigation, the study was limited to understand the influence of heat treatment process on nano-scale hardness and reduced modulus properties of phases of Fe–13%Cr–1%C hardfaced alloy coating by accelerated property mapping (XPM) technique. Colour variation in the property maps showed the relative deformation nature of the material. The hardness and reduced modulus values for carbide phases were found to be higher in all conditions. From Weibull statistical analysis, the Weibull modulus values reduced drastically for the carbide phase after heat treatment, revealing higher variability of mechanical properties. The above trends were observed mainly due to %C and %Cr difference across phases and carbide phase morphology transformation happened due to heat treatment.
Circularly Polarized Antennas Using Characteristic Mode Analysis: A Review

Characteristic mode analysis (CMA) can be used in antenna designs to solve radiation problems. This review focuses on the existing development methodologies for circularly polarized (CP) antennas and their axial ratio bandwidth (ARBW) improvement using CMA. To discuss the physical insights related to CP radiation, this study systematically examines different antenna design structures used in previous research. It investigates the impact of modal parameters such as the eigenvalue, modal significance (MS), characteristic angle (CA), surface current, far-field radiation behavior on CP radiation, and ARBW for various antenna designs. In addition, it discusses the comparative analysis of various antenna design approaches in terms of antenna performance parameters such as the operating frequency band, ARBW, and gain. The results show that CMA provides more valuable information for the selection of feed position in antenna designs than the conventional full-wave simulation approach.
Comparison of Clavien-Dindo and Common Terminology Criteria for Adverse Events Classifications in Postoperative Early-Stage Complications of Patients with Colorectal Cancer

Introduction: The present study aimed to compare early complication rates, risk factors for complications, and hospital stay lengths in patients operated on for Colorectal cancer, by using Clavien-Dindo and Common Terminology Criteria for Adverse Events (CTCAE) complication classifications. Materials and methods: 222 patients who were operated between March 2019 and June 2020 with the diagnosis of colorectal cancer and had early complications were evaluated retrospectively. Complications that developed in the early postoperative period were graded according to Clavien-Dindo and CTCAE classifications.The effects of demographic data, surgical technique, tumor location, neoadjuvant chemoradiotherapy history, preoperative transfusion history, urgency of the operation, additional organ resection, co-morbid diseases, pathological stage and duration of surgery on complications were compared. Results: According to the Clavien-Dindo classification, the risk of developing complications was 3 times higher in male gender, 8 times higher in open surgical intervention, and 1.7 times higher in diabetes mellitus. According to the CTCAE classification, performing liver resection in the same session increased the risk of complications 5 times, while the use of open surgical technique increased the risk 8 times. Discussion: Neither classification system is superior to the other in grading postoperative complications, and both can be used to rate surgical complications.
Three-Dimensional Evaluation of the Frontal Sinus in Koreans

(1) Background: Among the four paranasal sinuses, the frontal sinus is in the frontal bone. Recent research trends have been focusing on identifying sex based on the frontal sinus. Thus, this study aimed to provide reference data for the frontal sinus in Korean adults by comparing their sizes using a 3D program. Moreover, this study examined the correlation between the size of the frontal sinus and the length of cranial bone. (2) Methods: Cone-beam computed tomography (CBCT) data were obtained from 60 (male 30, female 30) patients in their 20 s who visited the Department of Dankook University Hospital (DKUDH IRB 2020-01-007). The provided patient CBCT data were utilized to reconstruct the patients’ frontal sinuses and cranial bones in 3D using the Mimics (version 22.0, Materialise, Leuven, Belgium) 3D program. All measurements were analyzed using SPSS (ver. 23.0, IBM Corporation, Armonk, NY, USA). (3) Results: By comparing the frontal sinus size of Korean adults according to sex using a 3D program, this study revealed that males had larger frontal sinuses than females. (4) Conclusions: The findings of this study could help in preventing complications that occur in various clinical treatments and analyzing the growth of the frontal sinus in the future.
Pengaruh Penggunaan Media Papan Cerdas Perkalian Terhadap Hasil Belajar Matematika Materi Perkalian Siswa Kelas II di SD Negeri 75 Buton

The objective of the research was to know the effect of using multiplication smart board media toward students’ achievement on multiplication subject at grade II of SD Negeri 75 Buton, in academic year 2019/2020. This research was a quantitative research using pretest-posttest control group design. Sample was taken using simple random sampling technique, which was gained from population. There were 2 classes used as the sample, namely group II A as control group, which consisted of 8 students, and group II B as an experiment group, which consisted of 8 students. Based on the result of posttest, it found that students’ score from experiment group was higher than students’ score from control group. Classical completeness from experiment group = 77.5, and it was higher than control group = 73.5. based on the result of hypothesis test using t-test, then it found that tcount = 0,187, with df = 14 sig. (2-tailed) where 0.001 < a (0.05). Therefore, it could be concluded that H0 was rejected and H1 was accepted. This result indicated that there was any effect of using multiplication smart board media toward students’ achievement on multiplication subject at grade II of SD Negeri 75 Buton.
Influence of an Upper Limb Isometric Task in Perceived and Performance Fatigability of Elderly Subjects: A Quasi-Experimental Study

Simple Summary This study aimed to understand the influence of an upper limb isometric task on fatigability behavior and the role of quality of life and physical activity in the fatigability of elderly participants. It was found that the upper limb isometric task produces changes in perceived and performance fatigability, which are related in the final stage of the activity. Perceived fatigability evolved progressively with a major increase in the second half of the activity. Changes in fatigability were related to BMI and health-related quality of life dimensions. Considering the results of our study, the use of perceived fatigability as a regulatory factor during upper limb isometric tasks, especially in the clinical context, should be carried out with caution. Additionally, the results highlight the need for the implementation of active aging programs that promote functionality, weight control, and social net reinforcement strategies that may reduce fatigability in the elderly. Abstract Isometric activity can be used as a strategy to improve health, fitness, and functional performance in the elderly population, but differences in fatigability may occur. This study aimed to understand fatigability behavior during an upper limb isometric task (ULIT) and the role of health status and physical activity in the fatigability of elderly participants. Thirty-two (32) elderly participants (72.5 ± 5.18 years) were instructed to perform ULIT. The Borg CR10 scale and task failure point (TTF) were used to measure perceived and performance fatigability. Self-reported measures were used to assess the quality of life and physical activity level. A significant relationship between perceived and performance fatigability was found only in the final phase of activity (p < 0.01). Significant correlations were found between perceived fatigability and the social functioning dimension (p < 0.05), and between performance fatigability (TTF) and BMI (p < 0.01), physical functioning (p < 0.01), and role functioning/physical (p < 0.05) dimensions. In conclusion, ULIT produces changes in fatigability of elderly people, which are positively related in the final stage of the activity. Changes in fatigability are negatively related to BMI. It is also negatively related to health, social functioning, physical functioning and role functioning/physical quality of life dimensions.
Who Benefits Most? Interactions between Personality Traits and Outcomes of Four Incremental Meditation and Yoga Treatments

Mind–Body Medicine (MBM) includes a broad range of interventions with proven preventive and clinical value, such as yoga and meditation. However, people differ in their preferences and response to different MBM treatments and it remains unclear who benefits most from what type of practice. Thus, finding moderators of treatment outcome seems to be a promising approach. This was the aim of the present study. We conducted a single-case multiple-baseline study investigating the outcomes and moderators of four different MBM treatments. Fifty-seven healthy participants with no prior experience were randomly assigned to three baselines (7, 14, and 21 days) and four eight-week treatments: mantra meditation alone, meditation plus physical yoga, meditation plus ethical education and meditation plus yoga and ethical education. We analysed the data using effect size estimation, multiple regression and cluster analyses. High anxiety, high absorption, low spirituality, low openness and younger age were associated with a range of positive outcomes, such as increased wellbeing or decentering and decreased mind wandering. Receiving ethical education consistently improved wellbeing, while engaging in physical yoga reduced mind wandering. In the cluster analysis, we found that participants with a more maladaptive personality structure enhanced their emotion regulation skills more. Consequently, people do differ in their response to MBM interventions and more vulnerable people, or those high in absorption, seem to benefit more. These findings could support the development of custom-tailored MBM interventions and help clinicians to make scientifically sound recommendations for their patients.
Advances in Microfluidic Synthesis of Solid Catalysts

Heterogeneous catalysis plays a central role in the chemical and energy fields, owing to the high and tunable activities of solid catalysts that are essential to achieve the favorable reaction process efficiency, and their ease of recycle and reuse. Numerous research efforts have been focused on the synthesis of solid catalysts towards obtaining the desired structure, property and catalytic performance. The emergence and development of microfluidic reactor technology provide a new and attractive platform for the controllable synthesis of solid catalysts, primarily because of its superior mixing performance and high heat/mass transfer efficiency. In this review, the recent research progress on the synthesis of solid catalysts based on microfluidic reactor technology is summarized. The first section deals with the synthesis strategies for solid catalysts, including conventional methods in batch reactors and microfluidic alternatives (based on single- and two-phase flow processing). Then, different kinds of solid catalysts synthesized in microflow are discussed, especially with regard to the catalyst type, synthetic process, structure and property, and catalytic performance. Finally, challenges in the microreactor operation and scale-up, as well as future perspectives in terms of the synthesis of more types of catalysts, catalyst performance improvement, and the combination of catalyst synthesis process and catalytic reaction in microreactors, are provided.
Cytospin performance when using Paris system for reporting urinary cytology

Objectives: The Paris System (TPS) for Reporting Urine Cytology has significantly improved the approach to evaluating urine cytology. TPS criteria were defined mainly according to ThinPrep and SurePath preparations, as they are widely utilized. The objective of this study is to validate urine cytology interpretation according to the TPS classification using cytospin technique in relation to the gold slandered histology. Material and Methods: This retrospective study examined and analyzed 316 urine specimens from King Abdulaziz University Hospital between 2015 and 2020. Cytospin technique is performed for all cases. Slides were recategorized using TPS criteria, then compared with the original histology diagnosis. Results: According to the TPS, 108 cases were classified as 101 AUC (32%), 95 NEG (30%), 59 HGUC (18.7%), 31 SHGUC (9.8%), and 30 (9.5%) others. The computed sensitivity of cytospin in urine cytology was 94.7%, with 73.9% specificity, a positive predictive value of 85.6%, a negative predictive value of 89.5%, and overall accuracy of 86.8%. Conclusion: Urine cytology testing is considered to be a non-invasive and sensitive method to screen for urothelial carcinoma. TPS defined standards are reliable on cytospin prepared slides for reporting urine cytology.
“I Feel Like It’s One of Those Things that Everyone Feels the Same Way About, No One Wants to Discuss It”: A Qualitative Examination of Female College Students’ Pap Smear Experience

The purpose of this study was to examine female college students’ Pap smear experience and communication with their provider before, during, and after the exam. In fall 2019, 158 female college students completed an online survey with closed and open-ended questions. Open-ended responses from participants reporting a previous Pap smear (n=36) were qualitatively analyzed to generate themes to explain female college students’ Pap smear experience and communication behavior with their provider before, during, and after the exam. The main themes identified included: Uncomfortable, Low Patient Engagement, Provider Support, and Provider Trust. Female college students overwhelmingly reported discomfort around the exam and were unaware of how to communicate with their provider; however, participants reported satisfaction with their care when the provider offered support and guidance. Findings suggest a need to develop strategies to address discomfort and enhance female college students’ communication skills with providers concerning the Pap smear exam.
Development of Deep Learning Methodology for Maize Seed Variety Recognition Based on Improved Swin Transformer

In order to solve the problems of high subjectivity, frequent error occurrence and easy damage of traditional corn seed identification methods, this paper combines deep learning with machine vision and the utilization of the basis of the Swin Transformer to improve maize seed recognition. The study was focused on feature attention and multi-scale feature fusion learning. Firstly, input the seed image into the network to obtain shallow features and deep features; secondly, a feature attention layer was introduced to give weights to different stages of features to strengthen and suppress; and finally, the shallow features and deep features were fused to construct multi-scale fusion features of corn seed images, and the seed images are divided into 19 varieties through a classifier. The experimental results showed that the average precision, recall and F1 values of the MFSwin Transformer model on the test set were 96.53%, 96.46%, and 96.47%, respectively, and the parameter memory is 12.83 M. Compared to other models, the MFSwin Transformer model achieved the highest classification accuracy results. Therefore, the neural network proposed in this paper can classify corn seeds accurately and efficiently, could meet the high-precision classification requirements of corn seed images, and provide a reference tool for seed identification.
LabVIEW Implementation of Tuning PID Controller Using Advanced Control Optimization Techniques for Micro-robotics System

—Microparticles have the potentials to be used for many medical purposes in-side the human body such as drug delivery and other operations. This paper attempts to provide a thorough comparison between eight meta-heuristic search algorithms: Sparrow Search Algorithm (SSA), Flower Pollination Algorithm (FPA), Slime Mould Algorithm (SMA), Marine Predator Algorithm (MPA), Multi-Verse Optimizer (MVO) Grey Wolf Optimization (GWO), Sine-Cosine Algorithm (SCA), and Whale Optimization Algorithm (WOA). These approaches were used to calculate the PID controller optimal indicators with the application of different functions, including Integral Absolute Error (IAE), Integral of Time Multiplied by Square Error (ITSE), Integral Square Time multiplied square Error (ISTES), Integral Square Error (ISE), Integral of Square Time multiplied by square Error ( (ISTSE), and Integral of Time multiplied by Absolute Error (ITAE). Every method of controlling was presented in a MATLAB Simulink numerical model, and LABVIEW software was used to run the experimental tests. It is observed that the GWO technique achieves the highest values of settling error for both simulation and experimental results among other control approaches, while the SSA approach reduces the settling error by 50% compared to former experiments. The results indicate that SSA is the best method among all approaches and that ISTES is the best choice of PID for optimizing the controlling parameters.
Grape Leaves Diseases Classification using Ensemble Learning and Transfer Learning

—Agriculture remains an important sector of the economy. Plant diseases and pests have a big impact on plant yield and quality. So, prevention and early detection of crop disease are some of the measures that must be implemented in farming to save the plants at an early stage and thereby reduce the overall food loss. Grapes are the most profitable fruit, but they are also vulnerable to a variety of diseases. Black Measles, Black Rot, and Leaf Blight are diseases that affect grape plants. Manual disease diagnosis can result in improper identification and use of pesticides, and it takes a long time. A variety of deep learning approaches have been used to address this issue of the identification and classification of grape leaf diseases. However, there are also limits to such approaches. Therefore, this paper uses deep learning with the concept of ensemble learning based on three famous Convolutional Neural Network (CNN) architectures (Visual Geometry Group (VGG16), VGG19, and Extreme Inception (Xception)). These three models are pre-trained with ImageNet. The performance of the proposed approach is analyzed using the Plant Village (PV) dataset of common grape leaf diseases. The Proposed model gives higher performance than the results achieved by using each Deep Learning architecture separately and compared with the recent approaches in this study. The proposed system outperformed the others with 99.82% accuracy.
NDT Method for Line Laser Welding Based on Deep Learning and One-Dimensional Time-Series Data

Welding testing is particularly important in industrial systems, but there are still some deficiencies in terms of testing performance, anti-noise capability and defect identification in current mainstream welding non-destructive testing technologies. With the development of structured-light non-destructive testing technology, deep learning technology, signal processing technology and other fields, various possibilities have emerged that make it possible to propose new ideas for welding non-destructive testing. This study used a laser sensor to propose a non-destructive method for testing welding defects in seam contours. In order to solve the problems of low sampling rates and poor recognition accuracy in traditional methods of welding defect detection, the proposed method introduces image coding into laser sensors and applies deep-learning algorithms to the classification and detection of weld defect images. By preprocessing the weld seam by encoding one-dimensional data as two-dimensional images, this method develops a framework for the detection and classification of pre-coded laser weld seam images. After taking the original extracted weld image center trajectory data as one-dimensional sequence data, we utilized the method of encoding one-dimensional time series data as two-dimensional time-series images. In doing so, the one-dimensional laser data can be encoded into the corresponding two-dimensional images and, with the application of a deep neural network, welding defect classification and detection can be realized. Experimentation was used to verify that the proposed method is of higher accuracy than traditional methods for classifying and detecting defects directly from two-dimensional welding images.