Miracle-dz/UniFAR-FTUs huggingface dataset:
K-Means clustering GAN based Fault Diagnosis Approach for Imbalanced Dataset

: Due to the different occurring frequencies of various faults, class distribution of fault data is often imbalanced. However, most existing machine learning based diagnosis methods, which didn’t take this imbalance into consideration, tend to be biased toward the majority classes and result in poor accuracy for minority ones. To solve this problem, we propose a K-Means clustering GAN (KM-GAN) based fault diagnosis approach which can reduce the imbalance of fault data and improve the diagnostic accuracy for minority classes. First, we design a new oversampling method based on K-Means clustering algorithm and GAN, to generate diverse minority-class samples which have similar distribution with the original minority data. The K-Means clustering algorithm is adopted to divide minority-class samples into K-clusters, while GAN is applied to learn the distribution of the resulting clusters and then generate a certain number of minority samples as a supplement to the original dataset. Second, we construct a Deep Neural Network (DNN) and Deep Belief Network (DBN) based heterogeneous ensemble model as a fault classifier to improve generalization, while DNN and DBN models are trained separately on the resulting dataset, and then the outputs from DNN and DBN are averaged as the final diagnostic results. A series of comparative experiments are conducted to testify the effectiveness of our proposed method, and the experimental results show that our method can improve the diagnostic accuracy of minority samples.
Diagnosis and treatment of carotid body tumors

: Purpose: To investigate the clinical diagnosis, treatment, and complication prevention of carotid body tumors (CBTs). Methods: The medical records of 24 patients with CBTs treated in the Department of Oral and Maxillofacial Surgery in Shandong Provincial Hospital Affiliated to Shandong First Medical University from 1999 to 2014 were reviewed. All the patients had unilateral CBTs and underwent preoperative B-mode ultrasound. Before surgery, CBT diagnosis was confirmed by digital subtraction angiography (DSA) in 8 patients, magnetic resonance imaging (MRI) in 9 patients, and computed tomography angiography (CTA) in 11 patients. All the patients had surgical intervention and preoperative Matas test. The retrograde stump pressure in the internal carotid artery was monitored in all the cases during surgery. Transcranial Doppler (TCD) inspection was performed on all patients before and during surgery. Simple tumor resection was performed in 8 patients, and excision of both the tumor and external carotid artery was performed in 11 cases. Five patients received intraluminal shunt after tumor resection and partial removal of internal, external, and common carotid arteries. Results: The diagnostic accuracy of B-mode ultrasound, DSA, MRI, and CTA was 75%, 100%, 88.9%, and 90.9%, respectively. In the enrolled 24 patients, tumors were completely removed with no postoperative death, hemiplegia, or blindness. There were 4 cases of transient hypoglossal nerve palsy and 1 case of transient vagus nerve involvement after surgery, which were recovered after 4-8 months of follow-up. No recurrence was found in the included patients during the followed-up, varied from 3 months to 4 years. B-mode ultrasound examination can be used as a preliminary screening method. DSA, CTA, and MRI are all effective diagnostic tools for CBTs. Among them, the diagnostic coincidence rate of DSA is 100%, mak-ing it the most effective means of inspection. Surgical resection is the first choice for the treatment of CBT patients who are willing to undergo surgery. Conclusions: Preoperative routine Matas test can improve the brain tolerance of patients with carotid artery occlusion, preoperative, and intraoperative TCD monitoring are beneficial to understand the intracranial circulation in the circle of Willis. Intraoperative monitoring of residual arterial pressure and intraluminal shunt can prevent or significantly reduce the incidence of serious postoperative complications.
Enhanced Virtual Synchronous Generator Control Strategy for Thermoelectric Generation System

The virtual synchronous generator (VSG) control strategy is beneficial to improve the damping characteristics of the system. However, the traditional VSG control method based on droop characteristics can lead to static frequency deviation for the frequency modulation. A kind of enhanced VSG control strategy is described in detail in this paper. The static frequency deviation can be eliminated and the secondary frequency modulation can be realized within 0.5 seconds. A Matlab model is used to simulate the operation of working load fluctuation under isolated island operation mode. The simulation result shows that the design is feasible.
Empirical Model‐Building and Response Surfaces

Introduction to Response Surface Methodology. The Use of Graduating Functions. Least Squares for Response Surface Work. Factorial Designs at Two Levels. Blocking and Fractionating 2 k Factorial Designs. The Use of Steepest Ascent to Achieve System Improvement. Fitting Second--Order Models. Adequacy of Estimation and the Use of Transformation. Exploration of Maxima and Ridge Systems with Second--Order Response Surfaces. Occurrence and Elucidation of Ridge Systems, I. Occurrence and Elucidation of Ridge Systems, II. Links Between Emprirical and Theoretical Models. Design Aspects of Variance, Bias, and Lack of Fit. Variance----Optimal Designs. Practical Choice of a Response Surface Design. Subject Index. Index.
Network Localization with Assisting Nodes

—Location awareness in wireless networks depends on propagation conditions, transmitting resources, and nodes deployment. A well designed node deployment strategy can enhance the localization performance signiﬁcantly. In this paper, we present a near-optimal algorithm for deploying assisting nodes in localization networks with limited infrastructure. First, we formulate the node deployment task as an optimization problem to minimize the localization error of an agent. Then, we develop a node deployment algorithm based on this formulation. Finally, we present a case study to validate the proposed algorithm.
A 2D-FILTER FOR BATTERY INCREMENTAL CAPACITY CURVE EXTRACTION

: A 2D filter is proposed for battery incremental capacity curve filtering in a cyclic aging test. The filter works in two directions, namely, from time to time and from batch (cycle) to batch. In details, a simple low-pass filter is applied in the batch direction, and a bias-corrected Gaussian filter is applied in the time direction. Experimental results show that the root-mean-square-error of the proposed method is 20% lower than the neural-network-based benchmarking algorithm. Over-fitting and under-fitting could also be resolved.
Mitochondrial quality control in diabetic cardiomyopathy: from molecular mechanisms to therapeutic strategies

In diabetic cardiomyopathy (DCM), a major diabetic complication, the myocardium is structurally and functionally altered without evidence of coronary artery disease, hypertension or valvular disease. Although numerous anti-diabetic drugs have been applied clinically, specific medicines to prevent DCM progression are unavailable, so the prognosis of DCM remains poor. Mitochondrial ATP production maintains the energetic requirements of cardiomyocytes, whereas mitochondrial dysfunction can induce or aggravate DCM by promoting oxidative stress, dysregulated calcium homeostasis, metabolic reprogramming, abnormal intracellular signaling and mitochondrial apoptosis in cardiomyocytes. In response to mitochondrial dysfunction, the mitochondrial quality control (MQC) system (including mitochondrial fission, fusion, and mitophagy) is activated to repair damaged mitochondria. Physiological mitochondrial fission fragments the network to isolate damaged mitochondria. Mitophagy then allows dysfunctional mitochondria to be engulfed by autophagosomes and degraded in lysosomes. However, abnormal MQC results in excessive mitochondrial fission, impaired mitochondrial fusion and delayed mitophagy, causing fragmented mitochondria to accumulate in cardiomyocytes. In this review, we summarize the molecular mechanisms of MQC and discuss how pathological MQC contributes to DCM development. We then present promising therapeutic approaches to improve MQC and prevent DCM progression.
Multimodality of rich clusters from the SDSS DR8 within the supercluster-void network

Context. The study of the properties of galaxy clusters and their environment gives us information about the formation and evolution of galaxies, groups and clusters, and larger structures – superclusters of galaxies and the whole cosmic web. Aims. We study the relations between the multimodality of galaxy clusters drawn from the SDSS DR8 and the environment where they reside. As cluster environment we consider the global luminosity density field, supercluster membership, and supercluster morphology. Methods. We use 3D normal mixture modelling, the Dressler-Shectman test, and the peculiar velocity of cluster main galaxies as signatures of multimodality of clusters. We calculate the luminosity density field to study the environmental densities around clusters, and to find superclusters where clusters reside. We determine the morphology of superclusters with the Minkowski functionals and compare the properties of clusters in superclusters of different morphology. We apply principal component analysis to study the relations between the multimodality parameters of clusters and their environment simultaneously. Results. Multimodal clusters reside in higher density environment than unimodal clusters. Clusters in superclusters have higher probability to have substructure than isolated clusters. The superclusters can be divided into two main morphological types, spiders and filaments. Clusters in superclusters of spider morphology have higher probabilities to have substructure and larger peculiar velocities of their main galaxies than clusters in superclusters of filament morphology. The most luminous clusters are located in the high-density cores of rich superclusters. Five of seven most luminous clusters, and five of seven most multimodal clusters reside in spider-type superclusters; four of seven most unimodal clusters reside in filament-type superclusters. Conclusions. Our study shows the importance of the role of superclusters as high density environment, which affects the properties of galaxy systems in them.
PRODUCTIVITY AND TRADE OPENNESS: MICRO-LEVEL EVIDENCE FROM MANUFACTURING INDUSTRIES IN ECUADOR 1997– 2003

This study is part of a growing branch of the empirical economic literature that tries to examine the effects on productivity of countries that have opened their markets to global competition. This study takes a detailed empirical look at whether Ecuador’s recent trade liberalization has increased or decreased the productivity of Ecuadorian manufacturing establishments for the period 1997-2003. The research focuses on both own establishment productivity changes and the reshuffling of resources from less to more productive units. It applies robust estimation procedures on micro-level data to identify the effect of trade policy on productivity, controlling for a number of other economic events that may have affected productivity during the period under study. The study takes a particular interest in how both exporters and import-competing sectors respond to trade openness. Preliminary results suggest that aggregate productivity has increased in some manufacturing sectors at the end of the period, such as in food processing, apparel and leather, and furniture. Increased aggregate productivity might be due to both more output being produced by more productive establishments and slightly increased own-plant’s productivity. The results suggest evidence of a positive and significant effect of trade openness on the productivity of manufacturing industries in export-oriented industries in the years after trade reforms were implemented, but decreasing productivity after 2000.
A Novel Input-Parallel Output-Series DC-DC Converter with Dual Coupled Inductors

: This project, along with the voltage multiplier chain with dual coil output to the boost converter provides a novel parallel input. On the one hand, and to take part in the input current and to reduce input current ripple in the two coils in parallel with the primary windings connected. On the other hand, it is proposed to change, and a series of interleaved output capacitors profit profitable high voltage, low output voltage ripple, low pressure switch is connected with trying gets. In addition, the two sides increase connected to the secondary coil of the two primary currents parallel to increase the voltage balance between the productive diode and capacitor is coupled in series. In addition, activation key to the current zero level are being driven and connected inductors reasonable inductance leakage diodes to reduce the problem of reverse recovery.
A Continuously Adjustable 32-Ch Head Coil Array for MRI at 3T

Synopsis Close tting is extremely crucial for RF coil arrays in order to maximize sensitivity. It is impossible to closely t for all subjects of various head sizes using rigid head coil arrays. We presented a novel design of partially exible 32-channel coil array to address the issue. The inner dimensions of the coil array can be smoothly adjusted from 180mmx220mm to 220mmx 260 mm, which t for almost all head sizes of adult human subjects. The experiment results showed high imaging quality within the adjustable ranges. The coil array is highly practical for both research and clinical settings.
Effect of reactive aggregate on the early age reaction of water-glass activated slag/fly ash mortars

Alkali activated materials (AAMs) have received worldwide attention due to its lower embodied energy and environmental impact than that of traditional cementitious materials. However, the activators with high alkalinity may raise the risk of alkali silica reaction (ASR) induced deterioration when reactive aggregates are used, which thereby limits the commercial use of AAMs. Not speaking the ASR induced long-term expansion, the early-age reaction of AAMs prepared with reactive aggregates is largely unknown. In this paper, isothermal calorimetry, thermogravimetry (TG) and mercury intrusion porosimetry (MIP) were adopted to study the heat evolution, mineralogical changes and pore structures of early-age ordinary Portland cement (OPC) mortar and water-glass activated slag/fly ash mortars. In each system, emphasis were made to understand the differences between mixtures prepared with standard inert quartz sands and reactive fine aggregates. The results show that the mortars prepared with reactive aggregates generated more heat in the wetting and dissolution stage. Particularly, the water-glass activated slag mortar presented the highest heat flow peak. Meanwhile, the results of TG illustrate that higher amount of reaction products were formed in water-glass activated mortars prepared with reactive aggregates than that with inert quartz sands. These findings suggest that the reactive aggregates are evidently involved in the early-age alkaline reaction of AAMs system.
Statistical Inference in Instrumental Variables

This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate cointegrating regressions. The framework of study is based on earlier work by Phillips and Durlauf (1986) and Park and Phillips (1988, 1989). In particular, the results in these papers are extended to allow for IV regressions that accommodate deterministic and stochastic regressors as well as quite general deterministic processes in the data generating mechanism. It is found that IV regressions are consistent even when the instruments are stochastically independent of the regressors. This phenomenon, which contrasts with traditional theory for stationary time series, is a beneficial artifact of spurious regression theory whereby stochastic trends in the instruments ensure their relevance asymptotically. Problems of inference are also addressed and some promising new theoretical results are reported. These involve a class of Wald tests which are modified by semiparametric corrections for serial correlation and for endogeneity. The resulting test statistics which we term fully modified Wald tests have limiting chi-squared distributions, thereby removing the obstacles to inference in cointegrated systems that were presented by the nuisance parameter dependencies in earlier work. Interestingly, IV methods themselves are insufficient to achieve this end and an endogeneity correction is still generally required, again in contrast to traditional theory. Our results therefore provide strong support for the conclusion reached by Hendry (1986) that there is no free lunch in estimating cointegrated systems. Some simulation results are reported which seek to explore the sampling behavior of our suggested procedures. These simulations compare our fully modified (semiparametric) methods with the parametric error correction methodology that has been extensively used in recent empirical research and with conventional least squares regression. Both the fully modified and error correction methods work well in finite samples and the sampling performance of each procedure confirms the relevance of asymptotic distribution theory, as distinct from superconsistency results, in discriminating between different statistical methods.
Heart with Clinical Effect of Amiodarone in the Treatment of Senile Congestive Heart Failure with Ventricular Arrhythmia

: Effect of Amiodarone in Senile Congestive Failure Ventricular Arrhythmia To analyze the clinical effect of amiodarone in the treatment of congestive heart failure with ventricular arrhythmias in the elderly is the objective of the study. A total of 62 elderly patients with congestive heart failure complicated with ventricular arrhythmia who received treatment in our hospital from January 2020 to June 2021 were enrolled and randomly divided into conventional group and amiodarone group. The conventional group was given diuretic and cardiotonic treatment, while the amiodarone group was given amiodarone treatment on the basis of the conventional group. The efficacy of congestive heart failure with ventricular arrhythmias, adverse drug reactions, cardiac index, heart rate, left ventricular end-diastolic, left ventricular ejection fraction, tachycardia, ventricular precontraction and QT (min) before and after the intervention, time to electrocardiogram normalization, and time to discharge were compared between the two groups. The efficacy of congestive heart failure with ventricular arrhythmia was higher in the amiodarone group than in the conventional group (p<0.05); no serious adverse drug reactions occurred in both groups, and the difference was not statistically significant; cardiac index, heart rate, left ventricular end-diastolic and left ventricular ejection fraction were similar in the two groups before the intervention, and the difference was not statistically significant; cardiac index, heart rate, left ventricular end-diastolic, and left ventricular ejection fraction were better in the amiodarone group than in the conventional group at discharge (p<0.05). Tachycardia episodes, ventricular precontraction and QT (min) were similar between the two groups before the intervention and the differences were not statistically significant; tachycardia episodes, ventricular precontraction and QT (min) were better in the amiodarone group than in the conventional group at the time of discharge (p<0.05). The amiodarone group had a shorter time to electrocardiogram reversion and discharge than the conventional group (p<0.05). Amiodarone is clinically effective and safe in the treatment of congestive heart failure with ventricular arrhythmias in the elderly, and it can effectively improve cardiac function, restore electrocardiogram and vital signs, and shorten hospitalization time, so it is worth promoting its application.
Chemical and biochemical advantages of the 'Hicaznar' pomegranate variety over 'Katina' and 'Suruc' varieties grown in the same ecology

: Pomegranate cultivation has spread to various parts of the world. Pomegranate has been grown almost anywhere in the world, mostly in Iran, India, China, Turkey and the United States. ‘Hicaznar’, ‘Katina’ and ‘Suruç’ pomegranate varieties were used as materials in this study. Analyses of antioxidants, sugars, anthocyanins, organic acids, and colourless phenolic compounds in the juices of these fruits were performed by HPLC and DPPH methods. According to our findings, the highest antioxidant capacity was found in ‘Hicaznar’ variety (19.42 mmol trolox L –1 ). ‘Hicaznar’ variety had high sugar composition in terms of glucose, fructose, and total sugars while the sucrose content was high in ‘Suruç’ variety. For anthocyanin analysis, ‘Hicaznar’ variety contained higher levels of delfinidin-3.5-diglycoside, cyanidin-3.5-diglycoside, pelargonidin-3.5-diglycoside, cyanidin-3-glycoside, pelargonidin-3-glycoside, and cyanidin-pentoside than those of ‘Katina’ and ‘Suruç’ varieties. ‘Hicaznar’ variety also contained higher malic and L-ascorbic acid. ‘Hicaznar’ variety had colourless phenol content. The results show that; ‘Hicaznar’ variety contained higher quality parameters in respect to human health than those of other varieties grown under the same ecological conditions.
Determinants of Customer Satisfaction in Online Shopping

Purpose - The study is conducted to explore various factors that determine the level of customer satisfaction among online shoppers. The exploration will contribute to the formulation of various strategies to enhance online shopping experience that will consequently lead to customer satisfaction. Design/methodology/approach - Self-administered questionnaire was used to know the impact of various determinants on customer satisfaction in online shopping. Exploratory factor analysis (EFA) was performed to extract the factors for analysing the impact on customer satisfaction in online shopping.Various statistical tools and techniques like Data normality analysis, Analysis of reliability and validity,Pearson coefficient of correlation and regression analysis were used. A sample of 270 online shoppers consisting of 108 (40%) male and 162 (60%) female respondents was collectes for the study. Findings -38 items with factor loading greater than 0.5 were considered out of a total of 45 items and a total of 9 factors were extracted using Exploratory Factor Analysis. The study supports that security; information quality; payment mode; customer support; quality and assortment have a significant positive effect on consumer satisfaction. Research implications - Results of the study provide insight into the determinants of customer satisfaction among online shoppers. This will be useful for Indian online retailers while developing strategies regarding their websites.