Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on The Problem of Industrial Structure Excellent of Tangshan city

Tangshan, a city of resources, owns the comparison advantage of the resources factor, but along with the dry up of resources, it is a urgent problem that carrys on the industrial structure excellent, which is a problem that tangshan city has to face. The text consults the related theories of industrial structure excellent. Combining the concrete circumstance of Tangshan city, the text analyses the characteristic of the industrial structure of Tangshan city. It puts forward the conceptive of industrial structure excellent, and points the problem that should notice in the process of excellent.
Power Quality Improvement of Grid Connected Wind Farms through Voltage Restoration Using Dynamic Voltage Restorer

Increasing sensitivity of the loads with respect to power quality has gained the interest of power system analysis and power quality improvement techniques. The voltage sags or swells which are characterized by rms voltage variations outside the normal operating range of voltages due to faults may lead to improper disconnection of wind turbines. This paper deals with the effective voltage sag/swell mitigation using Dynamic Voltage Restorer (DVR), to regulate the terminal voltage of the wind farm. The DVR utilizes a feed forward vector control based algorithm to generate the PWM based firing signals for injecting appropriate compensation voltages. The actual wind farm field data of the voltage sag and swell events during fault conditions are re- created using MATLAB/Simulink and restored by employing DVR. The simulation results are shown to verify the operation of DVR during balanced voltage sag and swell conditions.
Control of photovoltaic-based low-voltage dc microgrid system for power sharing with modified droop algorithm

This study discusses a droop-based proportional load sharing control of parallel connected dc-dc converters in photovoltaic (PV)-based low-voltage dc microgrid. Droop control is the popular scheme for power sharing in dc microgrid. In this study, proportional droop index (PDI) algorithm with droop ( R droop ) shifting is introduced to improve the load sharing performance of the dc microgrid, which is a function of normalised current sharing difference and voltage deviation in the output side of the converters. This proposed control method calculates adaptive virtual resistance, R droop , and allows the converter to share the load current based on PV power available. By incorporating a new R droop shifting method with PDI, the proposed scheme eliminates the trade-off between current sharing and voltage regulation of the conventional method. The detailed analysis and design procedures are explained, and the effectiveness of the proposed method is verified by detailed simulation and experimental studies.
Effects of Unsaturated Flow on Hydraulic Head Response to Earth Tides–An Analytical Model

Responses of groundwater levels to Earth tides have been widely studied to evaluate aquifer properties because it has been shown to be an economical and effective approach to estimate aquifer parameters. Existing studies suggest that unsaturated zones may have non‐negligible effects on groundwater responses to Earth tides in an unconfined aquifer. However, an analytical model for these effects is unavailable; as a result, the impacts of the unsaturated flow on the tidal response of water levels has not been fully explored. Here we present an analytical solution for the coupled unsaturated‐saturated flow equation, which is linearized by the perturbation method, to study the hydraulic head responses to Earth tides. The solutions are compared with that from numerical simulation using the finite‐element method built in COMSOL Multiphysics and an existing numerical model. The results indicate that the unsaturated zone has significant impacts on the hydraulic head responses to Earth tides. The traditional model for an unconfined aquifer that neglects the effects of an unsaturated zone commonly underestimates the amplitude ratio and overestimates the phase shift. The fluctuations of the water table near the ground surface (<1.0 m) causes dramatic variations of both amplitude ratio and phase shift, which in turn cause the traditional model to fail in estimating aquifer parameters. The solutions are applied to field data to interpret large seasonal variations in the tidal responses. The solutions derived in this study should be an important addition to existing analytical models for tidal analysis.
Some comments regarding development drifting practices with special emphasis on caving applications

Mass mining systems such as block caving and sublevel caving have been applied in the successful extraction of large orebodies for more than a century. Although the fundamental concepts have largely remained the same, both the designs and particularly the equipment used have seen remarkable changes over the years. Effective development drifting has played, and continues to play, a key role in the successful application and operation of caving methods. With the continuing search for an introduction of more cost effective extraction systems, ‘engineered’ drifting will play an even more central role in the future. An important ingredient in this regard is the acceptance of the concept of smoothwall excavation and then its whole hearted introduction and use by mining companies. To assist in this process, the central part of this paper will deal with practical smoothwall blast design for development drifting. Experience and knowledge gained while conducting an extensive research and development programme on cautious blasting in drifting by the National Institute of Occupational Safety and Health (NIOSH) will be highlighted. The paper concludes with some ideas regarding future developments.
Flapping Aerodynamics and Ground Effect

Unsteady aerodynamics of a two-dimensional thin body hovering near the ground plane are studied. The effects of ground topology and height above the surface are examined. In the considered simulations, the hover kinematics are chosen to follow typical flapping motions of insects and small birds. Ground topology is expressed in terms of flat, sine, triangle, and square wave profiles, which are, in turn parameterized in terms of amplitude and spatial frequency. Fully developed lift is examined for a variety of ground topologies and flapping heights. Motions near the ground plane result in enhanced and phase shifted lift; however, recirculated vorticity can interact with the flapping body and may offset the practical gains of ground effect.
Dynamic Rupture Simulation of the 1833 Songming, Yunnan, China, M 8.0 Earthquake: Effects From Stepover Location and Overlap Distance

Stepover structures are widely distributed in natural fault systems. The jump distance is typically easier to identify than both the stepover location and the overlap distance because of the presence of lakes and sedimentary basins around the stepover. Using the curved grid finite‐difference method, we first conducted a 3D spontaneous dynamic rupture simulation of the 1833 Songming earthquake on a continuous model of the western Xiaojiang fault to estimate the regional stress azimuth. Then, we performed rupture process simulations with different stepover structure models on the western Xiaojiang fault to investigate the effects of the stepover location and overlap distance on the dynamic rupture process. In addition, we analyzed the fault strength ratio S and rupture velocity of the preferred fault models and discussed the occurrence of supershear rupture during the Songming event. Finally, we simulated the strong ground motion with the preferred fault models for the 1833 Songming earthquake. Our simulation results suggest that the optimal regional maximum principal stress azimuth during the Songming event was N20°W. Our simulations further reveal that the Qingshuihai stepover is located in the middle of Qingshuihai Lake, and the overlap distance is 6 km; in contrast, the location of the Yangzonghai stepover is located in the southern part of Yangzonghai Lake, and the overlap distance is not constrained. Furthermore, our numerical simulation indicates that the Songming earthquake exhibited supershear rupture; however, this supershear rupture is not sustained and is easily affected by the friction parameters and nucleation location.
Structural Weight and Stiffness Optimization of a Midibus Using the Reinforcement and Response Surface Optimization (RSO) Method in Static Condition

Midibuses are medium-sized buses widely used for transportation purposes in Asia and Africa. However, most midibuses are locally built and indirectly regulated through inspecting the end product (finished bus) during licensing for the public transport business in Ethiopia. Due to lack of engineering analysis and testing, low stiffness and overweight of midibus were compromised. This research was aimed at analyzing and optimizing the midibus structure using the reinforcement and response surface optimization (RSO) method for pure bending and torsion loading cases. Results show that the maximum deformation occurred at the roof section of the original structure during both loading cases. Furthermore, the reinforcement design was found by replacing the cross section and layouts of structural members and adding reinforcements for the most suitable location of the original structure. Response surface optimization with the multiobjective genetic algorithm (MOGA) method in ANSYS DesignXplorer was performed on the reinforced structure to maximize the bending and torsional stiffness with reduced weight. The bending stiffness of the reinforced and optimized structure increased by 41.65% (1911.4 N/m) and 10.02% (651.7 N/m), respectively. In addition, the torsional rigidity or stiffness of the bus structure was improved by 12.56% (173.31 Nm/deg) via reinforcement design. Moreover, the torsional stiffness of the optimized (RSO) model was increased by 3.29% (51.07 Nm/deg). Reinforcement design was effectively reduced by 5.23% of the structure’s weight. Moreover, the RSO method has also decreased the weight of the reinforced structure by 2.64%.
Exploratory Study on Correlation Between Twitter Concentration and Traffic Surges

Social media receive increasing attention as a crowdsourced information resource in traffic operations and management. Tweets, which are blogged and shared by great masses of people, may be associated with some major social activities. In this study these tweets are called “Twitter concentrations. ” The public activities behind Twitter concentrations potentially pose more pressure on the traffic network and cause traffic surges within a specified time and location. However, it is still unknown how closely the Twitter concentrations and traffic surges are correlated. This study fuses a set of tweets and traffic data collected during 2014 in Northern Virginia and investigates the correlation between Twitter concentrations and traffic surges in July. The results show the promise and effectiveness of the proposed methods and even provide insights into the causality of nonrecurrent traffic surges.
Fiberglass and Other Flame-Resistant Fibers in Mattress Covers

Public complaints have raised concerns that some mattresses in the current marketplace may be potential sources of airborne fiberglass. Although mattress foam is often marketed as chemical-free, their cover compositions are not as well understood by the general public. To fill these basic information gaps, the covers of four newly purchased mattresses were sampled and analyzed using polarized light microscopy, SEM-EDS, and FTIR microspectroscopy. Two of the mattress covers contained over 50% fiberglass in their inner sock layers. Up to 1% of the fiberglass had migrated to adjacent fabric layers, representing a potential risk of consumer exposure if the zipper on the outer cover is opened. The observed fiberglass fragments had calculated aerodynamic diameters ranging between 30 and 50 µm, suggesting they are potentially inhalable into the nose, mouth, and throat, but are likely too large to penetrate deeper into the lungs. No fiberglass was observed on the brand new mattresses’ outer surfaces. Synthetic fibers also present in the sock layers were consistent with flame resistant modacrylic containing vinyl chloride and antimony. The use of fiberglass and other chemicals in mattress covers poses a potential health risk if these materials are not adequately contained. The apparent non-inclusion of mattress covers in chemical-free certifications suggests that further improvements are needed in mattress labeling and education of consumers.
Multi-Objective Design of Single-Phase Differential Buck Inverters With Active Power Decoupling

The design of single-phase differential buck inverters has two important considerations, including reducing second-order ripple power using decoupling capacitors and increasing inverter performances. Using larger decoupling capacitors will improve the performance of ripple power reduction and efficiency while reducing power density. Such trade-off has not been fully modeled and investigated, leading to the sub-optimal design of inverters. To address that, in this paper, the trade-off among decoupling capacitance, inverter efficiency and power density are investigated through detailed mathematical modeling and sensitivity study. The trade-off of the volume and power loss of essential inverter components, including power switches, inductors and heatsinks, are also studied to facilitate the inverter design. A fast multi-objective design optimization method based on geometric programming is presented to optimize the inverter efficiency and power density. A 1 kW prototype of a Gallium Nitride (GaN) based inverter has been designed based on the proposed method. A hardware prototype of the inverter has been built and tested, which has an efficiency of 98.02% and power density $ {4.54\;\mathrm{{kW/dm^{3}}}}$ and matches 99% to the presented multi-objective design method. This validates the accuracy and effectiveness of the presented design approach considering detailed trade-off analysis.
HOW DOES ABUSIVE LEADERSHIP CONTAMINATE PERFORMANCE AND CULTURE? AN EMPIRICAL ANALYSIS

The study focuses on the critical aspect which is evaluation of how much of an impact does the abusive leadership have on the employees’ performance when the hospital culture promotes it, overlooks it, or embraces it. The target sample of 350 was performing multi functions including doctors, nurses, paramedics, and medical staff. For the antecedent of Abusive Leadership, data was collected from 35 hospital supervisors. The study observed nonphysical abuse such as verbal mistreatment, mockery, insulting behavior, emails, and messages. The results show a significant impact of leadership on employee performance and stress that was caused by leadership’s negative behavior; organizational culture also was causing stress toward the employees’ performance.
Dynamic Aerial Wireless Power Transfer Optimization

Unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) is a viable solution to remotely charge several energy receivers (ERs) in areas with intermittent access to a source of energy. However, given the limited available energy in the on-board battery of the UAV, which is mainly required to suffice propulsion energy consumption, the UAV struggles to roam seamlessly for long intervals. A key challenge is thus to efficiently use the limited battery energy, and accordingly prolong the UAV’s endurance, via controlling the underlying associated parameters such as cruising velocity. To further extend the battery lifetime, the UAV can also harness other sources of sustainable energy, such as sunlight, via solar energy harvesting. This paper studies a UAV-enabled WPT system, where a rotary-wing UAV transfers radio frequency (RF) wireless energy to several ERs at known locations. To offer uninterrupted seamless service, the UAV also harvests solar energy using solar panels. Considering the propulsion energy consumption of the UAV, we maximize the minimum average power received among all ERs over a finite cycle duration by jointly optimizing the UAV’s time allocation between harvesting and charging, flight trajectory as well as velocity, and transmit power allocation. Due to the non-convexity of the problem, we utilize the block coordinate descent (BCD) and successive convex approximation (SCA) methods. Numerical results show that the proposed solution outperforms benchmark schemes.
La utilidad de la ultrasonografía como herramienta diagnóstica para detectar artritis psoriásica en pacientes con psoriasis

El objetivo de nuestro estudio fue evaluar la prevalencia de entesopatía subclínica en pacientes con psoriasis cutánea (Ps) utilizando un score ultrasonográﬁco (US) como herramienta diagnóstica en la práctica diaria y evaluar la habilidad de dicho score para discriminar pacientes con Ps y Artritis Psoriásica (APs).
Human Emotion Recognition by Integrating Facial and Speech Features: An Implementation of Multimodal Framework using CNN

This Emotion recognition plays a prominent role in today's intelligent system applications. Human computer interface, health care, law, and entertainment are a few of the applications where emotion recognition is used. Humans convey their emotions in the form of text, voice, and facial expressions, thus developing a multimodal emotional recognition system playing a crucial role in human-computer or intelligent system communication. The majority of established emotional recognition algorithms only identify emotions in unique data, such as text, audio, or image data. A multimodal system uses information from a variety of sources and fuses the information by using fusion techniques and categories to improve recognition accuracy. In this paper, a multimodal system to recognise emotions was presented that fuses the features from information obtained from heterogenous modalities like audio and video. For audio feature extraction energy, zero crossing rate and MelFrequency Cepstral Coefficients (MFCC) techniques are considered. Of these, MFCC produced promising results. For video feature extraction, first the videos are converted to frames and stored in a linear scale space by using a spatial temporal Gaussian Kernel. The features from the images are further extracted by applying a Gaussian weighted function to the second momentum matrix of linear scale space data. The Marginal Fisher Analysis (MFA) fusion method is used to fuse both the audio and video features, and the resulted features are given to the FERCNN model for evaluation. For experimentation, the RAVDESS and CREMAD datasets, which contain audio and video data, are used. Accuracy levels of 95.56, 96.28, and 95.07 on the RAVDESS dataset and accuracies of 80.50, 97.88, and 69.66 on the CREMAD dataset in audio, video, and multimodal modalities are achieved, whose performance is better than the existing multimodal systems. Keywords—Emotion recognition; multimodal; fusion; MFCC; MFA; FERCNN; CREMAD; RAVDESS
Turbo Codes with Modified Code Matched Interleaver for Coded-Cooperation in Half-Duplex Wireless Relay Networks

Abstract The parallel encoding and decoding structure of turbo codes makes them natural candidate for coded-cooperative scenarios. In this paper, we focus on one of the key components of turbo codes i.e., interleaver, and analyze its effect on the performance of coded-cooperative communication. The impact of an interleaver on the overall performance of cooperative systems depends on the type of an interleaver and its location in the cooperative encoding scheme. We consider code matched interleaver (CMI) as an optimum choice and present its role in a coded-cooperation scenario. The search and convergence of CMI for long interleaver sizes is an issue; therefore, a modification in the search conditions is included without any compromise on the performance of CMI. We also present analytical method to determine maximum S-constraint length for a CMI design. Further, we analyze the performance of two different encoding schemes of turbo codes, i.e., distributed turbo code (DTC) and distributed multiple turbo code (DMTC) after inclusion of CMI. Monte Carlo simulations show that CMI increases the diversity gain relative to other conventional interleavers such as uniform random interleaver. The channel is assumed to be Rayleigh fading among all communication nodes.
(Invited) Effect of Threshold-Voltage Instability on SiC Power MOSFET High-Temperature Reliability

The gate-bias stress-induced threshold-voltage instability observed in lateral SiC MOSFETs is also present in fully processed SiC DMOSFETs, and the shifts are comparable in magnitude, and similar in their response to bias-stress time, gate-oxide field, and temperature (1). Therefore, it is highly likely that the same near-interfacial oxide trapping mechanisms are the cause of the observed instability in both the ID-VGS and IDVDS characteristics of SiC power MOSFETs.
Achieving High Accuracy in Predicting Blood Flow Volume at the Arteriovenous Fistulas of Hemodialysis Patients by Intelligent Quality Assessment on PPGs

A machine learning (ML) algorithm is successfully developed to assess the signal quality of measured photoplethysmography (PPG) waveforms for effective real-time prediction of blood flow volume (BFV). This algorithm is essential to achieve high prediction accuracy of BFV for hemodialysis patients to monitor the quality of their arteriovenous fistulas (AVFs) at home by themselves using a new hand-held device. The algorithm is built on an ML classifier of 1-dimensional convolutional neural network (1D-CNN), calibrated by two groups of PPG waveforms that are pre-identified by experienced experts to 300 qualified and 202 un-qualified PPG waveforms in 6-second windows, as the ones to render accurate BFV predictions and the others to inaccurates, respectively. The qualified ones satisfy at least the deterministic criteria such as adequate signal-to-noise-ratio (SNR), stable/small fluctuations of AC/DC components, and also the presence of secondary bio-features, to ensure minimized influence from mis-positioning, hand movement, pressurization and varied ambient lighting. With the classifier algorithm in hand, together with another fully-connected neural network for estimating BFV, a combined real-time computation algorithm is built, being able to achieve much better accuracy for real-time measurement ubiquitously. In results, using the newly-developed quality-assessment algorithm, the error of predicted BFVs is improved from ±175.577 ml/min to ±122.8259 ml/min significantly.
Mathematical Modelling of Multi-Region Spread of Epidemic

SAIR model of growth of an epidemic is extended to a system of many interacting regions. Interactions are described by exchange of populations between various regions. Differences caused by the exchange of susceptible population, in addition to infected individuals are noted. It is shown that initial phase of the epidemic is governed by a linear system. Analysis of linear system shows that a fundamental mode gets established that governs the spatial profile of the spread of the disease.