bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ways of solving the problems of rational nature management in the areas of alluvial deposits development
Authors: Kostromin M V , Yu Panina T 
Published: January 2022

Abstract
A characteristic feature of the developed placer deposits is that most of them (up to 90–95%) are hard to develop, and the sands included in them are hard to enrich, due to their location in the geographic and climatic zones with a harsh climate, where perennial and deep seasonal permafrost is widespread almost everywhere. About 40% of alluvial deposits are clayey, highly clayey or cemented. As a consequence, there are significant losses of the valuable component and a large negative impact on the environment, including due to repeated re–mining. The studies presented in this paper help to significantly reduce losses and increase the productivity of the dredge, thereby increasing metal recovery.
Composition, structure and formation conditions of the Arydzhangsky Formation of the Maimecha-Kotuy District of the Siberian Trap Province
Authors: Shtokalo R V , Krivolutskaya N A , Konyshev A A , Rass I T , Demidova S I 
Published: January 2022

Abstract
We studied 6 sections of the Arydzhangsky lava formation (P2-T1) in the Kotuy river valley. The results of petrographic and geochemical studies of the composition of rocks of the Arydzhangsky, Khardaksky and Pravoboyarsky formations are presented. The stratigraphic columns of the sections were built and the composition of the rocks was additionally determined using a scanning electron microscope. In this regard, the relative position of these formations was established, the mantle and crust sources of magmas were confirmed. A geochemical identity of the rocks of the Khardaksky formation with the rocks of the Arydzhangsky formation was established, which suggests a similar age of their formation.
Study on technical solutions for shore power supply of motor yacht
Authors: Gyurov V. , Ivanova G. 
Published: January 2022

Abstract
The report presents an analysis of modern technical solutions for shore power supply of a specific class of passenger ships - luxury yachts for charter trips. The design data of a motor yacht in its different operating modes are considered, as well as the energy mix related to the fuel consumption at shore supply of the yacht during its stay at the port. The use of modern technical systems for shore supply includes the application of specific frequency converters, through which compatibility between the different voltage standards and the frequency for different shore power supply systems is realized. The costs of onshore power, compared to those of marine fuel, can be calculated from the current prices of onshore electricity and the energy produced from its own generators. The analysis of the basic design data of the motor yacht and the assessment of the energy costs on board, fuel economy and emission reductions will provide a clear answer to the advantages of the power supply from the shore of the vessel.
A mathematical model for the virtual simulator of the power unit electrical part
Authors: Baran P , Varetsky Y , Kidyba V , Pryshliak Y 
Published: January 2022

Abstract
The mathematical model is developed for a virtual training system (simulator) of the power unit electrical part operators of a thermal (nuclear) power plant. The model is used to simulating the main operating conditions of the power unit electrical part: generator idling, generator synchronization with the power system, excitation shifting from the main unit to the backup one and vice versa, switching in the power unit auxiliary system, and others. Furthermore, it has been implemented modelling some probable emergency conditions within a power plant: incomplete phase switching, damage to standard power unit equipment, synchronous oscillations, asynchronous mode, etc. The model of the power unit electrical part consists of two interacting software units: models of power equipment (turbine, generator with excitation systems, auxiliary system) and models of its control systems, automation, relay protection and signalling. The models are represented by the corresponding algebraic-differential equations that provide real-time mapping power unit processes at the operator’s request. The developed model uses optimal solving algebraic-differential equations to ensure the virtual process behaviour in real-time. In particular, the implicit Euler method is used to solve differential equations, which is stable when simulating processes in significant disturbances, such as accidental disconnection of the unit from the power system, tripping and energizing loads, generator excitation loss, etc.
Optimization techniques for p-GTO thyristor design
Authors: Cristea M , Babarada F 
Published: January 2022

Abstract
A new type of semiconductor power device was devised in the early ’90s as an alternative to the classic Gate Turn-Off (GTO) thyristor. Because the low-doped n-base was replaced by a low-doped p-base, it was called the p-GTO. Its main advantage is a higher possible control voltage when the device is switched off, leading to the possibility of a higher blocking anode current (IATO) and a lower turn-off time. The studies and techniques employed with the help of SILVACO-TCAD simulation software Athena and Atlas show that the p-GTO has higher breakdown voltages compared with its classic counterpart and similar on-state voltage (VT) and switching characteristics when replacing the GTO in the same circuit. Specific circuit improvements, like an affordable higher turn-off gate voltage, will drive the p-GTO into even faster switching operation.
Effect of thermal cycling on mechanical and microstructural properties of heat-treated Ti-6Al-4V alloy
Authors: Putti Venkata Siva Teja , Manikandan S , Ayyagari Kiran Kumar 
Published: January 2022

Abstract
Titanium (Ti-6Al-4V) is an α+β phase-field alloy utilized in many industries due to its high strength-to-weight ratio and near-net shaping capability. Solution treated & aging, and stress relief annealing processes were performed on the samples to increase the strength and % of elongation. The heat-treated samples then thermally cycled for 500 cycles, 1000 cycles, and 1500 cycles to evaluate the microhardness and tensile properties. The presence of martensite and α
2 precipitates in the thermally cycled samples was confirmed by scanning electron microscopy (SEM) and x-ray diffraction analysis (XRD). In this investigation, at 1000 thermal cycles, all specimens show improvement in both hardness and strength when compared within the cycles. Solution-treated and aging (STA), stress relief annealing (SRA), and without any heat-treatment (WHT) processes have their highest hardness values recorded for 1000 thermal cycles, and the values are 471 HV0.5, 381 HV0.5, and 374.6HV0.5, respectively. For the SRA process, ultimate tensile strength (UTS) of 925 MPa and yield strength (YS) of 896 MPa have resulted in 1000 cycles. Similarly, at 1000 thermal cycle WHT processed samples yielded UTS of 920 MPa and YS of 885 MPa. STA process samples that are heat-treated for 1000 thermal cycles have better strength properties than SRA and WHT and had a UTS of 1530MPa and YS of 1420MPa. From a ductility point of view, a maximum elongation of 29% for the STA process has resulted. Compared to forged titanium alloy (base metal), an increase of 31% elongation and 41% ultimate tensile strength for solution treated and aging process at 1000 cycles has resulted in this investigation.
Microstructures and compressive properties of AlxCoCrFeNi high entropy alloys prepared by arc melting and directional solidification
Authors: Yu Zhuhuan , Yan Yawen , Gao Wei , Wang Xiaohui , Liu Xuliang , Du Wei 
Published: January 2022

Abstract
The AlxCoCrFeNi (molar radio, x = 0.6 and 1.2) high entropy alloys (HEAs) were prepared by arc melting and directional solidification at the withdrawal rate of 150 μm s−1. All microstructures were characterized by x-ray diffraction, optical microscopy and scanning electron microscopy with an energy-dispersive spectrometer. Strong similarities in phase constituent were observed between the as-cast samples and directionally solidified samples. The Al0.6CoCrFeNi HEA and Al1.2CoCrFeNi HEA fabricated by two different techniques respectively consisted of Cr-Fe-Co enriched FCC phase + Al-Ni enriched BCC phase and Al-Ni enriched B2 phase + Cr-Fe-Co enriched A2 phase. It was micromorphology found that directional solidification could not only make the microstructures arranged regularly but also coarsen the grains. This has been attributed to the preferred grain orientation and lower cooling rate during directional solidification process. Compression testing showed that the compressive ductility of directionally solidified samples decreased obviously. The ultimate compressive strength of Al0.6CoCrFeNi HEA increased from 1 675 MPa to 1 903 MPa, but the strength of Al1.2CoCrFeNi HEA decreased from 2 183 MPa to 1 463 MPa. The difference in strength has been suggested to be the result of micropores in the matrix.
Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view
Authors: Khural Bhupinder Singh , Baer-Beck Matthias , Fournié Eric , Stierstorfer Karl , Huang Yixing , Maier Andreas 
Published: January 2022

Abstract
The problem of data truncation in Computed Tomography (CT) is caused by the missing data when the patient exceeds the Scan Field of View (SFOV) of a CT scanner. The reconstruction of a truncated scan produces severe truncation artifacts both inside and outside the SFOV. We have employed a deep learning-based approach to extend the field of view and suppress truncation artifacts. Thereby, our aim is to generate a good estimate of the real patient data and not to provide a perfect and diagnostic image even in regions beyond the SFOV of the CT scanner. This estimate could then be used as an input to higher order reconstruction algorithms [1]. To evaluate the influence of the network structure and layout on the results, three convolutional neural networks (CNNs), in particular a general CNN called ConvNet, an autoencoder, and the U-Net architecture have been investigated in this paper. Additionally, the impact of L1, L2, structural dissimilarity and perceptual loss functions on the neural network’s learning have been assessed and evaluated. The evaluation of data set comprising 12 truncated test patients demonstrated that the U-Net in combination with the structural dissimilarity loss showed the best performance in terms of image restoration in regions beyond the SFOV of the CT scanner. Moreover, this network produced the best mean absolute error, L1, L2, and structural dissimilarity evaluation measures on the test set compared to other applied networks. Therefore, it is possible to achieve truncation artifact removal using deep learning techniques.
Evaluating multifunctional efficiency of a structural battery composite via thermo-electro-chemical modeling
Authors: Eaton Jacob , Naraghi Mohammad , Boyd James G 
Published: January 2022

Abstract
The emerging research field of structural batteries aims to combine the functions of load bearing and energy storage to improve system-level energy storage in battery-powered vehicles and consumer products. Structural batteries, when implemented in electric vehicles, will be exposed to greater temperature fluctuations than conventional batteries in electric vehicles. However, there is a lack of knowledge in public domains and scientific literature regarding how these thermal boundary conditions impact power capabilities of the structural batteries. To fill this gap, the present work simulates the transient temperature-dependent specific power capabilities of a high aspect ratio structural battery composite by solving the one-dimensional heat transfer equation with heat source terms and convective boundary conditions. Equivalent circuit modeling of resistivity-induced losses is used with a second-order finite difference method to examine battery performance. More than 60 different run configurations are evaluated in this work, examining how thermal boundary conditions and internal heat generation influence power capabilities and multifunctional efficiency of the structural battery. The simulated structural battery composite is shown to have good specific Young’s modulus (79.5%–80.3% of aluminum), a specific energy of 158 Wh kg−1, and specific power of 41.2–55.2 W kg−1, providing a multifunctional efficiency of 1.15–1.17 depending on configuration and thermal loading conditions and demonstrating the potential of load-bearing structural batteries to achieve mass savings. This work emphasizes the dependency of power efficiency on cell design and external environmental conditions. Insulating material is shown to improve multifunctional efficiency, particularly for low ambient temperatures. It is demonstrated that as cell temperature increases due to high ambient temperature or heat generation in the battery, the specific power efficiency increases exponentially due to a favorable nonlinear relation between ionic conductivity and cell temperature. The simulations also demonstrate a thermal feedback loop where resistivity-induced power losses can lead to self-regulation of cell temperature. This effect reduces run-averaged losses, particularly at low ambient temperatures.
Effects of eco-environmental damage compensation system with multi-stakeholder engagements: a DSGE perspective from China
Authors: Gao Feifei , Xin Baogui 
Published: January 2022

Abstract
We present and estimate a dynamic stochastic general equilibrium model for an eco-environmental damage compensation system (EDCS) with multi-stakeholder engagements. Then we explore the dynamic effect under different shocks such as household and government supervision, environmental damage compensation ratio, pollution emission threshold, and pollution control efforts. The household and government supervision show the positive effect of environmental regulation on conserving energy, abating emission, reducing damage compensation, and increasing economic output. The environmental damage compensation ratio can also contribute to energy conservation and emission reduction, but there are no significant regulation effects of pollutant emission and damage compensation. The pollutant emission threshold and the pollution control efforts have significant environmental regulation effects, but the latter does not significantly restrain high energy consumption. All the shocks mentioned above can effectively improve the green development level.
A comparative study of different emitter diffusion profiles on the performance of Si solar cells
Authors: Singh Mukesh Pratap , Amir Mohd 
Published: January 2022

Abstract
We have investigated the effect of emitter design key parameters such as depth factor and the peak concentration for different types of emitter diffusion profiles (uniform, exponential, Gaussian, and Erfc) on the performance of silicon (Si) solar cells. The value of the depth factor is optimized as 0.1 μm for all these emitter diffusion profiles. Afterward, the peak concentration value is optimized for all the diffusion profiles. A close examination of relative diffusion lengths, conductivities, recombination rates, internal and external quantum efficiencies for these diffusion profiles revealed that among all the considered emitter diffusion profiles, the Erfc profile exhibits the maximum efficiency of 23.53% with an optimized peak concentration of 2 × 1020 cm−3 for the emitter and 1 × 1019 cm−3 for the back surface field doping. PC1D was used for all the simulations.
Research on fault diagnosis of automobile engines based on the deep learning 1D-CNN method
Authors: Du Canyi , Zhong Rui , Zhuo Yishen , Zhang Xinyu , Yu Feifei , Li Feng , Rong Ying , Gong Yongkang 
Published: January 2022

Abstract
Traditional engine fault diagnosis methods usually need to extract the features manually before classifying them by the pattern recognition method, which makes it difficult to solve the end-to-end fault diagnosis problem. In recent years, deep learning has been applied in different fields, bringing considerable convenience to technological change, and its application in the automotive field also has many applications, such as image recognition, language processing, and assisted driving. In this paper, a one-dimensional convolutional neural network (1D-CNN) in deep learning is used to process vibration signals to achieve fault diagnosis and classification. By collecting the vibration signal data of different engine working conditions, the collected data are organized into several sets of data in a working cycle, which are divided into a training sample set and a test sample set. Then, a one-dimensional convolutional neural network model is built in Python to allow the feature filter (convolution kernel) to learn the data from the training set and these convolution checks process the input data of the test set. Convolution and pooling extract features to output to a new space, which is characterized by learning features directly from the original vibration signals and completing fault diagnosis. The experimental results show that the pattern recognition method based on a one-dimensional convolutional neural network can be effectively applied to engine fault diagnosis and has higher diagnostic accuracy than traditional methods.
Relationship Between Brachial–Ankle Pulse Wave Velocity and Risk of New-Onset Acute Myocardial Infarction
Authors: Li Shi-wei , Yao Tao , Zhang Li , Zhao Lei , Zhang Xiao-ling , Wei Xiao-xuan , Peng Da-xu , Wu Shou-ling , Sun Li-xia 
Published: January 2022

Abstract

Background
To investigate the effect of brachial–ankle pulse wave velocity (baPWV) on new-onset acute myocardial infarction (AMI).

Methods
A retrospective cohort study was performed for the subjects who underwent baPWV examination during the follow-up of Kailuan Study Cohort from 2010 to 2017. The observation subjects were divided into 3 groups based on the levels of baPWV: &lt;14, 14 to &lt;18, and ≥18 m/s. The incidence density of AMI in 3 groups was calculated. Log-rank test was used to compare the differences of cumulative AMI incidence among 3 groups. The influence of baPWV on new-onset AMI was analyzed by Cox proportional risk model and restricted cubic spline.

Results
A total of 41,405 subjects were included in the study. During 2.66 (1.07–5.39) years’ follow-up, 150 new-onset AMI cases were observed. The incidence density of AMI in 3 groups was 3.69, 12.79, and 26.65 per 10,000 person-years, respectively. Log-rank test result showed the cumulative AMI incidence increased gradually from the subjects with the lowest baPWV to those with the highest baPWV (P &lt; 0.05). Compared with subjects with baPWV &lt;14 m/s, Cox model showed that hazard ratios (95% confidence interval) of AMI in those with baPWV 14 to &lt;18 m/s and baPWV ≥18 m/s were 1.77 (1.04–3.01) and 1.93 (1.03–3.60) after adjusting for age, sex, and other potential confounding factors, respectively. Restricted cubic spline analysis showed that there was a dose–response relationship between the hazard ratio of AMI and baPWV levels.

Conclusions
The increased baPWV is a risk factor for new-onset AMI.
Complex tourism and season interactions contribute to disparate physiologies in an endangered rock iguana
Authors: French Susannah S , Webb Alison C , Wilcoxen Travis E , Iverson John B , DeNardo Dale F , Lewis Erin L , Knapp Charles R 
Published: January 2022

Abstract
To promote survival and fitness, organisms use a suite of physiological systems to respond to both predictable and unpredictable changes in the environment. These physiological responses are also influenced by changes in life history state. The continued activation of physiological systems stemming from persistent environmental perturbations enable animals to cope with these challenges but may over time lead to significant effects on the health of wildlife. In the present study, we tested how varying environmental perturbations driven by tourism and associated supplemental feeding affects the energetics, corticosterone and immunity of six discrete populations of the northern Bahamian rock iguana (Cyclura cychlura inornata and Cyclura cychlura figginsi). We studied populations within and outside the reproductive season and quantified tourist numbers during sample collection. Specifically, we measured clutch size, body condition, plasma energy metabolites, reactive oxygen species, baseline corticosterone concentrations and immune function of male and female iguanas from each population to address whether (i) disparate physiologies are emerging across a gradient of tourism and feeding, (ii) both subspecies respond similarly and (iii) responses vary with season/reproductive condition. We found significant effects of tourism level, season and their interaction on the physiology of both C. c. inornata and C. c. figginsi, supporting the idea that tourism is leading to the divergence of phenotypes. Specifically, we found elevated plasma energy metabolites, oxidative stress and a measure of innate immunity (bactericidal ability), but reduced corticosterone concentrations with increasing tourism in both subspecies of rock iguanas. These physiological metrics differ according to the level of tourism in both subspecies and persist across seasons despite variation with natural seasonal and reproductive changes. These findings suggest that anthropogenic disturbance results in disparate physiologies in northern Bahamian rock iguanas.
Aortic regurgitation management: a systematic review of clinical practice guidelines and recommendations
Authors: Galusko Victor , Thornton George , Jozsa Csilla , Sekar Baskar , Aktuerk Dincer , Treibel Thomas A , Petersen Steffen E , Ionescu Adrian , Ricci Fabrizio , Khanji Mohammed Y 
Published: January 2022

Abstract
Guidelines for the diagnosis and management of aortic regurgitation (AR) contain recommendations that do not always match. We systematically reviewed clinical practice guidelines and summarized similarities and differences in the recommendations as well as gaps in evidence on the management of AR.
We searched MEDLINE and Embase (1 January 2011 to 1 September 2021), Google Scholar, and websites of relevant organizations for contemporary guidelines that were rigorously developed as assessed by the Appraisal of Guidelines for Research and Evaluation II tool. Three guidelines met our inclusion criteria. There was consensus on the definition of severe AR and use of echocardiography and of multimodality imaging for diagnosis, with emphasis on comprehensive assessment by the heart valve team to assess suitability and choice of intervention. Surgery is indicated in all symptomatic patients and aortic valve replacement is the cornerstone of treatment. There is consistency in the frequency of follow-up of patients, and safety of non-cardiac surgery in patients without indications for surgery. Discrepancies exist in recommendations for 3D imaging and the use of global longitudinal strain and biomarkers. Cut-offs for left ventricular ejection fraction and size for recommending surgery in severe asymptomatic AR also vary. There are no specific AR cut-offs for high-risk surgery and the role of percutaneous intervention is yet undefined. Recommendations on the treatment of mixed valvular disease are sparse and lack robust prospective data.