Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient Characteristics of Synchronverters Subjected to Asymmetric Faults

Since the large fault inrush current threatens the safety of power electronic devices, the synchronverter should have the fault ride-through (FRT) capability and should be equipped with a reliable protection system. Therefore, it is important to study the transient fault characteristics of the synchronverter and propose its fault current estimation method. In this paper, by establishing the equivalent model of synchronverter, an asymmetric fault current analysis method using the instantaneous symmetric component method is proposed. In addition, the current components, peak value, peak time, time required for reaching two times of the rated current, and main influencing factors of the asymmetric fault current are also analyzed. It is found that the influencing factors mainly include the control loops of synchronverter, asymmetric fault type, line impedances, and fault occurring moment. Moreover, the time required to reach two times of the rated current is approximately within the range of one hundredth of a microsecond to five milliseconds. These fault current characteristics impose strict requirements on the response speed of FRT control strategies. Finally, the simulation and experiment results verified the correctness of the proposed analysis method.
Brain Tumor Segmentation Using Convolutional Neural Network

Segmentation of the brain tumors is an essential function in the production of clinical data. Early care plays an important part in enhancing patient safety and increasing patient sustenance rates. The purpose of this implementation is to find out how does Neural network models results out when trained on large data set of MRIs. A novel method to image segmentation was applied to separate tumor from magnetic resonance (MRI) images by testing Neural network models- UNet, Feature Pyramid Network and ResNet50.Data set contained a total of 3886 MRI that were used to implement the approach where at first, augmentation was done and then the models were trained on large data sets after which tumor were segmented. For evaluating which model performed better, Dice co-efficient and IoU were used and the same were the best for ResNet50 with values 0.91 and 90% respectively. Its loss value came out to be 0.16 which is quite minimal. To conclude, segmentation is possible with good accuracy on large data sets by using ResNet50 and other neural network models. For future, I plan to implement the classification of tumors for the surgeons or the doctors to know whether the tumor is dangerous or mild. This can make it easy for them to know what surgery is needed to maintain patient’s safety.
Flow structure and performance of a flexible plunging airfoil

An investigation was performed with the intent of characterizing the effect of flexibility on the flow structure and aerodynamic performance of a plunging airfoil, over a parameter space applicable to birds and flapping MAVs. Both the material properties of the airfoil and the kinematics of its motion were characterized optically. The vortex dynamics associated with the plunging motion were mapped out using particle image velocimetry (PIV), and categorized according to the behavior of the leading edge vortex (LEV) and its interaction with the trailing edge vortex (TEV). The development and shedding process of the LEVs was also studied, along with their flow trajectories. Results of the flexible airfoils were compared to similar cases performed with a rigid airfoil, so as to determine the effects caused by flexibility. Aerodynamic loads of the airfoils were also measured using a force sensor, and the recorded thrust, lift and power coefficients were analyzed for dependencies, as was the overall propulsive efficiency. Thrust and power coefficients were found to scale with the Strouhal number defined by the trailing edge amplitude, causing the data of the flexible airfoils to collapse onto a single curve. The lift coefficient was likewise found to scale with trailing edge Strouhal number. On the other hand, the wake classification and the propulsive efficiency were more successfully scaled by the reduced frequency of the motion. The circulation of the LEV was found for each case and the resulting data was scaled using a parameter developed for this study, which provided significant collapse of the data throughout the entire parameter space.
B?ndelausgleichung von HRSC-Bilddaten mit Mars Observer Laser Altimeter-Daten als Passinformation

Zusammenfassung: Dieser Beitrag beschreibt einen Ansatz zur Verbesserung der Parameter der äußeren Orientierung für die High Resolution Stereo Camera (HRSC), die sich an Bord der europäischen Mission Mars Express befindet. Eine Herausforderung bei der photogrammetrischen Auswertung der Marsbilder ist die geringe Anzahl an vorhandenen Passpunkten, welche in den Bildern auf einfachem Weg identifiziert und gemessen werden können. Deshalb werden Mars Observer Laser Altimeter (MOLA)Daten als Passinformation in Form von Passflächen in der Bündelausgleichung mit HRSC Bildern verwendet. Die Ergebnisse zeigen, dass der Ansatz operationell auf alle HRSC-Szenen anwendbar ist.
Construction of Selection and Evaluation Algorithm for High-Level Tennis Students in Colleges and Universities Based on Random Matrix Model

The evaluation method of tennis students’ ability has an important influence on optimizing the selection and training of high-level tennis students. Based on the random matrix model theory, this paper constructs an evaluation algorithm for high-level tennis students in colleges and universities. Based on the literature and expert opinions, the model selects professional technical ability, knowledge learning ability, comprehensive development ability, and sustainable development ability as weighting factors and constructs the ability evaluation index system for high-level tennis students in colleges and universities. During the simulation process, the visualization system uses springboot, mybatis, and shiro as the back-end development framework to realize the modules of matrix management, role management, resource management, grade management, course management, student management, model management, etc. It adopts the MATLAB software platform to construct that the tennis learning evaluation includes 6 first-level indicators and 24 second-level indicators. The experimental results show that the final weights of the first-level indicators of tennis learning evaluation are as follows: tennis specific quality is 0.15, tennis sports skill is 0.3, tennis theoretical knowledge is 0.1, progress score is 0.15, attitude to learning tennis is 0.2, emotional performance and the spirit of cooperation is 0.1, and the results are visualized, which effectively improves the effectiveness of the random matrix algorithm in the field of selection evaluation.
Dynamic Simulation Analysis of Carbon-Steel Hybrid Sucker Rod String in Vertical and Directional Wells

Carbon fiber composite continuous sucker rod string is more and more widely used in deep and ultradeep wells because of its light weight, high strength, and corrosion resistance. In order to analyze the dynamic problems of carbon fiber sucker rod string in actual oil wells, a transverse vibration simulation model of carbon fiber and steel (carbon-steel) hybrid rod string excited by buckling deformation in vertical wells is established with the compression buckling deformation of weighting rod. Considering the influence of wellbore trajectory and the constraint of tubing, the transverse vibration simulation model of carbon-steel hybrid rod string in directional wells under borehole trajectory excitation is also established in this paper. The finite difference method is used to discretize the well depth node, the numerical integration method (Newmark-β) is used to discretize the reciprocating periodic time node, and simulation methods for the contact and collision dynamics of rod-tubing in vertical wells and directional wells are formed. Through programming calculation, the distribution laws of transverse displacement, contact force, collision force, and bending stress of carbon-steel hybrid sucker rod string in vertical wells and directional wells along well depth are obtained. The simulation results in vertical wells show that the strong collision between the rod and tubing occurs near the bottom steel rod, while the upper load is small and the rod-tubing collision load of the upper rod of the carbon-steel hybrid rod string is much lower than that of the traditional steel rod string at the same position. Furthermore, the bending stress of the upper carbon fiber is also much less than that of the bottom steel rod. The simulation results in directional wells show that the collision phenomenon of the deflecting section and the bottom weighting rod compression section are the strongest and the rod-tubing contact pressure is also the largest. Second, the impact force of the upper carbon fiber rod is also much lower than that of the steel rod. Again, the maximum bending stress of the whole well occurs near the deviation section where the deviation angle changes suddenly. The transverse vibration mechanical model in directional wells in this paper lays a theoretical foundation and provides theoretical support for the optimal design of fracture and splitting prevention measures of carbon fiber sucker rod.
Association of Serum Pepsinogens With Esophageal Squamous Cell Carcinoma Risk: A Systematic Review and Meta-Analysis

Background Serum pepsinogens are serological biomarkers of gastric atrophy, and the latter is a risk factor for esophageal squamous cell carcinoma (ESCC). However, the association of serum pepsinogens with ESCC risk remains unclear. This systematic review and meta-analysis aimed to assess the relationship between serum pepsinogen I (PGI) and pepsinogen I: pepsinogen II ratio (PGR) and ESCC risk. Methods PubMed, Embase, and Web of Science were searched for articles on the effect of serum PGI and PGR on ESCC risk, published up to the end of February 2022. Meta-analysis with a random-effect model was used to calculate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Results Five case–control studies and three prospective studies were included. In comparison with the high categories, the low categories of serum PGI (OR: 1.92, 95% CI: 1.45–2.56) and PGR (OR: 1.70, 95% CI: 1.01–2.85) were associated with an increased risk of ESCC, although a substantial heterogeneity was observed in serum PGR (I 2 = 60.2%, P = 0.028) rather than in serum PGI (I 2 = 46.4%, P = 0.070). In stratified analysis by study quality, the significant risk effect on ESCC was remained for PGI (OR: 2.05, 95% CI: 1.48–2.84) and PGR (OR: 2.07, 95% CI: 1.17–3.75) when only the studies with high quality were pooled. Conclusions Based on the available studies, although limited in number, this systematic review along with meta-analysis suggests that low serum PGI and low PGR may be related to an increased risk of ESCC. This present study provides evidence for using serum pepsinogen biomarkers in predicting ESCC. More delicate well-designed cohort studies with high study quality are needed, and dose–response analysis should be performed.
Simulation-Based Education Implementation in Pharmacy Curriculum: A Review of the Current Status

Abstract Simulation-based education (SBE) is a fundamental teaching method that complements traditional teaching modalities. SBE has improved students’ knowledge, understanding, and numerous essential skills within undergraduate pharmacy education, similar to traditional teaching methods. However, SBE has become crucial for developing students’ teamwork, decision-making, and communication skills. Even though the Accreditation Council for Pharmacy Education (ACPE) has acknowledged the benefit of SBE in interprofessional education (IPE) and the introductory pharmacy practice experience (IPPE). This article provides evidence that SBE can be effective beyond that. This narrative review is focused on the literature related to SBE modalities and the assessment methods of student learning outcomes in the undergraduate pharmacy curriculum. The review illustrates that SBE is an effective teaching method that could be utilized within the pharmacy curriculum. The review also could help pharmacy educators decide on the best modality and placement of integrating patient simulation within the pharmacy curriculum. Combining multiple simulation techniques may be the best way to achieve the desired student learning outcomes.
Glycaemic index and glycaemic load of foods and food products in Malaysia: a review

Glycaemic index (GI) is a method used to classify the type of carbohydrate-rich foods according to their effect on postprandial glycaemic responses. While the GI concept provides a measure of carbohydrate quality, glycaemic load (GL) quantifies the overall glycaemic effects by considering both the quality and quantity of carbohydrate-rich foods. The higher the GI and GL of the foods, the greater the elevation of blood glucose and insulin demand. Reduction in dietary GI and GL are associated with the prevention and control of chronic diseases, including type 2 diabetes. Although the GI concept has been applied in various nutrition-related interventions in Malaysia, a reliable database on Malaysian foods and food products are scarce. This review attempts to determine and compile reliable data of GI and GL values of Malaysian foods and food products. A literature search was performed using predefined terms and criteria not only limited to web-based databases (n = 20), but included abstracts (n = 6) and manufacturer (n = 1). The GL value for each food was calculated. A total of 83 foods was identified with the most common being rice (25.3%) and bread (16.9%), either eaten alone or in mixed meals. Food with the highest GI value was sago (GI = 156; GL = 59), while food with the lowest GI value was spaghetti with chicken soup (GI = 35; GL = 4). This review shows that the number of foods and food products with the assigned GI and GL values in Malaysia is still limited, which warrants for more studies in this area.
Perceived Social Support as a Protective Factor in Suicide among Psychiatric Patients with Major Depressive Disorder in Pakistan

Suicide is biggest cause of death worldwide; research on potential protective factors is required. Therefore, we investigated role of perceived social support as a protective factor. Particularly, we hypothesized that perceived social support is associated with suicide ideation among depressed patients and explored gender difference in suicide ideation and perceived social support among depressed patients. A purposive convenient sample of 100 diagnosed depressed outpatients were recruited from different psychiatric units of Rawalpindi and Islamabad. The age range of sample was between 18 to 50 years. Suicide ideation of depressed patients were measured by Beck scale of suicidal ideation (BSSI) developed by Beck, Kouacs & Weissman (1970) whereas perceived social support was measured by Provision of Social Relations (PSR), developed by Tuner, Frankel, and Levin (1983). Result of current study suggests that perceive social support is associated with less likelihood of attempting suicide among depressed patients(r = -.46, p<0.05) and there are no significant gender difference in suicidal ideation and perceived social support among male and female patients with depression (p>0.05). Our study suggests that social support could be protective factor against suicidal thoughts among depressed patients.
Managing Product Transitions: A Bilevel Programming Approach

We model the hierarchical and decentralized nature of product transitions using a mixed-integer bilevel program with two followers, a manufacturing unit and an engineering unit. The leader, corporate management, seeks to maximize revenue over a finite planning horizon. The manufacturing unit uses factory capacity to satisfy the demand for current products. The demand for new products, however, cannot be fulfilled until the engineering unit completes their development, which, in turn, requires factory capacity for prototype fabrication. We model this interdependency between the engineering and manufacturing units as a generalized Nash equilibrium game at the lower level of the proposed bilevel model. We present a reformulation where the interdependency between the followers is resolved through the leader’s coordination, and we derive a solution method based on constraint and column generation. Our computational experiments show that the proposed approach can solve realistic instances to optimality in a reasonable time. We provide managerial insights into how the allocation of decision authority between corporate leadership and functional units affects the objective function performance. This paper presents the first exact solution algorithm to mixed-integer bilevel programs with interdependent followers, providing a flexible framework to study decentralized, hierarchical decision-making problems.
Ionospheric TEC Prediction Base on Attentional BiGRU

Many studies indicated that ionospheric total electron content (TEC) prediction is vital for terrestrial and space-based radio-communication systems. In previous TEC prediction schemes based on RNN, they learn TEC representations from previous time steps, and each time-step made an equal contribution to a prediction. To overcome these drawbacks, we propose two improvements in our study: (1) To predict TEC with both past and future time-step, Bidirectional Gate Recurrent Unit (BiGRU) was presented to improve the capabilities. (2) To highlight critical time-step information, attention mechanism was used to provide weights to each time-step. The proposed attentional BiGRU TEC predicting method was evaluated on the publicly available data set from the Centre for Orbit Determination in Europe. We chose three geographical locations in low latitude, middle latitude, and high latitude to verify the performance of our proposed model. Comparative experiments were conducted using Deep Neural Network (DNN), Artificial Neural Network (ANN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Term memory (BiLSTM), and Gated Recurrent Unit (GRU). Experimental results show that the proposed Attentional BiGRU model is superior to the other models in the selected nine regions. In addition, the paper discussed the effects of latitudes and solar activities on the performance of Attentional BiGRU model. Experimental results show that the higher the latitude, the higher the prediction accuracy of our proposed model. Experimental results also show that in the middle latitude, the prediction accuracy of the model is less affected by solar activity, and in other areas, the model is greatly affected by solar activity.
On the nature of compact steep spectrum radio sources

Les proprietes radio d'un echantillon de radiosources compactes a spectre raide, base sur des observations VLA, MERLIN et VLBI, sont etudiees. Une classification, basee sur la morphologie radio, est realisee. Une nette distinction entre la structure radio des galaxies et des quasars est determinee.
Size reduction and harmonic suppression in branch line couplers implemented by means of capacitively loaded slow‐wave transmission lines

A systematic approach for the design of compact branch‐line hybrid couplers with harmonic suppression is proposed in this article. The couplers are implemented by means of slow‐wave artificial transmission lines based on patch capacitors. It is shown in this article that the number of unit cells of the artificial lines should not be arbitrary. Specifically, it is demonstrated that to efficiently suppress the harmonic bands of the coupler and simultaneously keep the response of the coupler unaltered in the region of interest, two unit cells are required. Based on the proposed design methodology, a compact branch line coupler with 46% size, as compared to the ordinary counterpart, and efficient rejection of the first and second harmonic bands, is reported in this article. The designed coupler exhibits good performance in the region of interest, very similar to one of the conventional coupler.
Age, body mass index, and diabetes mellitus are associated with an increased risk of acute kidney injury after coronary surgery: Retrospective cohort study

Background/Aim: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a significant complication of cardiac surgery and is associated with increased morbidity and mortality. Identifying risk factors can help clinicians alleviate the risk of developing CSA-AKI and associated complications. Therefore, this study aimed to identify pre-operative patient-related risk factors of CSA-AKI in patients undergoing coronary surgery. Methods: The current study was a single-center retrospective cohort study of adult patients undergoing coronary surgery with cardiopulmonary bypass (CPB) over an 8-month period. AKI was scored according to The Kidney Disease Improving Global Outcomes (KDIGO) scoring system. Patients’ age, gender, body mass index (BMI), comorbidities, KDIGO staging in AKI patients, and 30-day mortality rates were recorded. These variables were compared between AKI(−) and AKI (+) groups. Univariate binary regression analysis was performed between the variables that had statistically significant differences and AKI. Results: A total of 248 coronary surgery patients were analyzed. The overall incidence of CSA-AKI was 16.5%. Age, BMI, and the proportion of diabetic patients were significantly higher in the AKI (+) group (P = 0.04, P < 0.001, and P = 0.022, respectively). The proportion of gender, chronic obstructive pulmonary disease (COPD), hypertension (HT), baseline creatinine levels, aortic cross-clamping, cardiopulmonary bypass (CPB), total operation duration, and 30-day mortality were similar between the groups. Univariate analysis demonstrated that CSA-AKI was significantly associated with age ³ 65 years (odds ratio [OR] = 2.506; confidence interval [CI]: 1.265–4.967; P = 0.008), BMI of ³ 25 kg m-2 (OR = 8.994; CI: 1.199–67.980; P = 0.033), and diabetes mellitus (OR = 2.171; CI: 1.103–4.273; P = 0.025). Conclusion: The current study revealed that patients with increased age, BMI, and DM had a higher incidence of CSA-AKI. Therefore, even though these patient-related variables are known as non-modifiable parameters, more attention should be paid to preventing CSA-AKI during peri-operative management of these patients.
Earnings management, board of directors, and earnings persistence: Indonesian evidence

This research investigates the impacts of earnings management, both accrual earnings management (AEM) and real earnings management (REM), as well as Board of Directors (BOD) on earnings persistence. Accrual earnings management was measured using Modified Jone's Model, and real earnings manage­ment was assessed by three measures: abnormal cash flow, abnormal production expenditure, and abnormal discretionary expenditure. In addition, Board of Directors was measured using BOD size and BOD independence. Earnings persistence was measured based on the current year earnings to following year earnings regression coefficients. Using the samples consisting of the manufacturing companies listed at the Indonesia Stock Exchange 2016-2020, the study finds the evidence that accrual earnings management and cash flow of real earnings management negatively affect earnings persistence, while production expenditure, earnings management, discretionary expen­diture, BOD size, and BOD independence positively affect earnings persistence.