bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical modeling of quantitative changes in hydrogen and oxide inclusions in aluminum alloy
Authors: Turakhujaeva Shirinkhon , Karimov Kamolkhan , Turakhodjaev Nodir , Akhmedov Azamat 
Published: January 2023

In this article, mathematical modeling of quantitative changes in hydrogen and oxide inclusions in aluminum alloys is justified, developed, and analytically implemented. Usually, the methods of linear algebra are mostly used; in particular, the solutions of systems of inhomogeneous algebraic equations are obtained based on the method of Gauss, Cramer, and inverse matrices using the Maple 13 software package. Quantitative changes in hydrogen and oxide inclusions in the alloy are determined by a change in the average dispersion of the loaded flux. The connectivity functions of the change of oxide aluminum in the alloy β (%) with an increase in temperature Т (0С) during the loading of the charge into the liquid bath are obtained. The connectivity functions to determine the change quantity of hydrogen λ (cm3/100 g) in the alloy depending on the time t (minute) holding of the heated charge in the period of research is obtained. Based on functional dependencies, graphs of changes in the mainly desired parameters and numerical indexes in tabular form for engineering and applied calculations are constructed. In particular, graphs of the change quantity of hydrogen and oxide inclusions in the alloy with an increase of average dispersion of the flux d, graphs of change quantity of hydrogen with an increase in temperature during loading of the charge into the liquid bath, changes of the quantity of oxide aluminum in the alloy β (%) with an increase in temperature Т (	0С), patterns of change quantity of hydrogen in the alloy λ (cm3/100 g) and quantity of oxide η (%) were plotted depending on the time of holding the heated charge in period research.
Gravitational wave from extreme mass-ratio inspirals as a probe of extra dimensions
Authors: Rahman Mostafizur , Kumar Shailesh , Bhattacharyya Arpan 
Published: January 2023

Abstract
The field of gravitational waves is rapidly progressing due to the noticeable advancements
in the sensitivity of gravitational-wave detectors that has enabled the detection prospects of
binary black hole mergers. Extreme mass-ratio inspiral (EMRI) is one of the most compelling and
captivating binary systems in this direction, with the detection possibility by the future
space-based gravitational wave detector. In this article, we consider an EMRI system where the
primary or the central object is a spherically symmetric static braneworld black hole that carries
a tidal charge Q. We estimate the effect of the tidal charge on total gravitational
wave flux and orbital phase due to a non-spinning secondary inspiralling the primary. We further
highlight the observational implications of the tidal charge in EMRI waveforms. We show that LISA
(Laser Interferometer Space Antenna) observations can put a much stronger constraint on this
parameter than black hole shadow and ground-based gravitational wave observations, which can
potentially probe the existence of extra dimensions.
Double-pass optical parametric generator pumped by Yb thin-disk laser for efficient 1.4–2.9 µm mid-IR radiation generation
Authors: Csanaková Bianka , Novák Ondřej , Roškot Lukáš , Mužík Jiří , Cimrman Martin , Huynh Jaroslav , Smrž Martin , Jelínková Helena , Mocek Tomáš 
Published: January 2023

Abstract
Many different fields benefit from the usage of light sources emitting in the mid-infrared wavelength range (2–10 µm). A rising need for precise and fast sources in the mid infrared (mid-IR) is reflected in the development of a high-power, picosecond mid-IR source capable of generation at high repetition rates. In this work, we present the optimization of an optical parametric generator, pumped by a 3 W portion of total power of the Yb:YAG thin-disk laser (1.3 ps, 90 kHz, 90 W) by comparing a single-pass and double-pass arrangement output parameters in terms of output power dependences on input power, efficiency, beam profiles, stability, and spectra. The output tunability of both arrangements spanned from 1459 nm to 2891 nm, with the upper limit being influenced by the limited transmission of the dichroic components used in the setup above 2700 nm. It was shown that the double-pass arrangement increases the output power, from 17 mW in the single-pass arrangement to 193 mW in the double-pass arrangement at 1459 nm, resulting in over ten-fold output power increase.
Explore the Energy Performance of a University Building Integrated with Solar PV and Energy Storage
Authors: Wen Ke , He Yecong , Deng Qi , Sun Jie , Zhou Jifei 
Published: January 2023

Abstract
In order to explore the energy performance of a university building integrated with solar PV and energy storage, in this paper, DesignBuilder was used to establish the teaching building model and calculate the load based on the characteristics of the teaching building of a university, a simulation model of the photovoltaic & energy storage integrated system was built with TRNSYS. Then analysing the energy performance and economy of the system. The results show that, from the overall demand, the solar electricity generation capacity of the photovoltaic & energy storage integrated teaching building can basically meet the demand for air conditioning electricity, and there is more remaining electricity for the electricity grid. The energy performance of the system in different seasons (summer, spring and autumn transition season, winter) and the complementarity among various electric quantities are studied, including electricity consumption, electricity generation, municipal electricity supply, remaining electricity on grid, battery charge, battery discharge. The economic analysis of the system shows that Solar fraction (SF)=0.93, Self-Consumption Ratio (SCR)=0.13, Return on Investment (ROI)=0.219 years, Payback Period (PBP)=4.75 years, which proves its feasibility.
Fault Ranging Method for Overhead-Cable Hybrid Distribution Lines Based on CEEDMAN Energy Relative Entropy
Authors: Piao Zheyong , Wang Keqiang , Lu Jia , Liang Xiaolong , Zhao Pengyang , Liu Gang 
Published: January 2023

Abstract
According to the parameter characteristics of cable-overhead line and the folding and reflection process of traveling waves when the wave impedance is discontinuous, a traveling wave abrupt change extraction method based on the empirical mode decomposition of fully adaptive noise ensemble (CEEDMAN) energy relative entropy is proposed for the first time. Through the combination of CEEDMAN and energy relative entropy, the transient traveling wave signals are generated when reflection and refraction occur, and the energy value of traveling waves will change abruptly, and the reflected and refracted wave heads will be captured by the change of relative energy. Combined with the magnitude difference of zero sequence current, the fault area can be determined. Traveling waves have different wave speeds in overhead lines and cable lines, and fault ranging is performed by determining the corresponding propagation speed. Finally, simulation verifies that the method can accurately determine the fault zone with high ranging accuracy under the conditions of different fault locations, different transition resistances and different initial phase angles.
Power transformer overload risk evaluation based on temperature rise simulation and fuzzy analytic hierarchy process
Authors: Zhang Lei , Li Dajian , Chen Liangyuan , Ma Yuan 
Published: January 2023

Abstract
The evaluation of transformer overload risk and operational safety is a systematic process. Selecting an appropriate method to accurately assess its overload operation risk is an urgent need for flexible control and safe and reliable operation of power systems. According to the thermal characteristics and state of the transformer, a method for evaluating the overload risk of transformers with improved accuracy based on temperature rise simulation calculation combined with the Fuzzy Analytic Hierarchy Process (FAHP) is proposed. The weights are calculated by fuzzy set theory and FAHP, and the overload risk of the transformer is finally determined. The method comprehensively considers the possible information conflict between the working condition data and the thermal characteristics of the structure itself, and the calculation results are accurate and the process is clear. The calculation results after substituting the actual data show that the method can accurately evaluate the overload risk and operational risk of the transformer. This method is beneficial to identify the relative importance of transformer overload risk factors, calculate transformer overload risk coefficients, and formulate transformer risk control methods.
Numerical simulation and experimental validation on the heat transfer property of vertical buried tube ground heat exchanger
Authors: Zhao Yuhan , Deng Shengxiang , Chen Yu 
Published: January 2023

Abstract
In order to study the effect of the arrangement of buried tubes on heat transfer, a three-dimensional heat transfer model of vertical U-shaped buried tubes is established. The regional thermal efficiency and soil temperature field around the buried tubes arranged in square array and rhombic array are numerically simulated. The numerical simulation results are compared with the experimental data to verify the correctness of the established model and simulation conditions. The results show that the rhombic arrangement form has more advantages than the square arrangement form: with the same number of buried tubes, the land use area of the rhombic arrangement form is smaller and the regional thermal efficiencies of the two forms are almost the same. The experimental validation shows that the experimental value of the average heat transfer rate of a single tube is in good agreement with the simulated value, and the relative error is 5.4%.
Online Monitoring of Overhead Power Lines Against Tree Intrusion via a Low-cost Camera and Mobile Edge Computing Approach
Authors: Li Peisong , Qiu Rui , Wang Minzhen , Wang Xinheng , Jaffry Shan , Xu Ming , Huang Kaizhu , Huang Yi 
Published: January 2023

Abstract
Fast-growing trees pose risks to the operational safety of overhead power lines. Traditional methods of inspecting tree growth, such as ground inspection, are time-consuming and not accurate. Latest development employs drones equipped with either light detection and ranging (LiDAR) or camera for accurate inspections. However, those methods are expensive and cannot be used all the time. They are also susceptible to severe weather conditions. Therefore, in this paper, an online method for measuring and calculating the horizontal distances between the power lines and trees in a mobile edge computing architecture is proposed by taking into account a unique property of power systems. Firstly, two-dimensional images are taken by a standard optical camera mounted on the tower. Secondly, the power lines and the surrounding trees in the images are discovered by processing the images. Finally, the distances between the power lines and trees are calculated based on a reference distance. Furthermore, the applications that control the cameras and image processing are implemented on a mobile edge server for real-time monitoring and system updates. Experiment results in real-world scenarios show that the measurement error is less than 10%, which indicates that the proposed approach can reliably estimate the distances and the edge computing-based architecture can improve the efficiency.
China’s embodied environmental impact on the Global Commons through provincial and spillover perspectives
Authors: Zhao Han , Miller T Reed , Wendling Zachary A , Ishii Naoko , Kawasaki Akiyuki 
Published: January 2023

Abstract
Existing benchmarks for assessing China’s environmental progress ignore the important issue of transboundary impacts and also lack systematic methods that focus on China’s subnational level. By using techniques based on a multiregion input–output model, we develop a new framework, China’s Subnational-level Global Commons Stewardship (CS-GCS) index system. This framework summarizes multiple Global Commons domains into a comprehensive assessment, to synergistically track the embodied environmental impacts and score trajectories across China from both provincial and spillover perspectives. We find that, although China’s developing provinces perform better, developed provinces made more significant improvements from 2007 to 2015. There is no significant trend of increase in China’s outsourcing of environmental impacts to other countries over this period. However, there is still a disproportionate environmental responsibility for the Global Commons between regions, particularly the outsourcing of impacts from the eastern coast to the northern hinterland. Of these, the impact embodied in interprovincial trade is two to seven times greater than international trade, which will further dominate China’s environmental impacts. Agriculture is the crucial sectoral driver in all environmental domains. Our study serves as a method of helping assess and coordinate subnational efforts in China and prioritize environmental action.
Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests
Authors: Danneyrolles Victor , Boucher Yan , Fournier Richard , Valeria Osvaldo 
Published: January 2023

Abstract
Forest anthropogenic and natural stand-replacing disturbances are increasing worldwide due to global change. Many uncertainties regarding the regeneration and growth of these young forests remain within the context of changing climate. In this study, we investigate the effects of climate, tree species composition, and other landscape-scale environmental variables upon boreal forest regrowth following clearcut logging in eastern Canada. Our main objective was to predict the effects of future climate changes upon post-logging forest height regrowth at a subcontinental scale using high spatial resolution remote sensing data. We modeled forest canopy height (estimated from airborne laser scanning [LiDAR] data over 20 m resolution virtual plots) as a function of time elapsed since the last clearcut along with climate (i.e. temperature and moisture), tree species composition, and other environmental variables (e.g. topography and soil hydrology). Once trained and validated with ∼240 000 plots, the model that was developed in this study was used to predict potential post-logging canopy height regrowth at 20 m resolution across a 240 000 km2 area following scenarios depicting a range of projected changes in temperature and moisture across the region for 2041–2070. Our results predict an overall beneficial, but limited effect of projected climate changes upon forest regrowth rates in our study area. Stimulatory effects of projected climate change were more pronounced for conifer forests, with growth rates increasing between +5% and +50% over the study area, while mixed and broadleaved forests recorded changes that mostly ranged from −5% to +35%. Predicted increased regrowth rates were mainly associated with increased temperature, while changes in climate moisture had a minor effect. We conclude that such growth gains could partially compensate for the inevitable increase in natural disturbances but should not allow any increase in harvested volumes.
Cyclic thermoresistivity of resin-based carbon fiber bars modified with mixed carbon powder and nano-silica
Authors: Liu Dan , Liu Ronggui , Ping Shu , Zhang Shaofeng , Liu Gang 
Published: January 2023

Abstract
The addition of conductive fillers to the carbon fiber bar reduces its resistivity and improves electrical stability. Unstable conductivity and susceptibility to ambient temperature change impede the application of this technique in engineering, unless such influence can be eliminated by technical means or precisely predict. In this paper, modified epoxy Resin based carbon fiber bars with 4 sets of different mixed fillers have been designed to evaluate the temperature-resistance effect under different temperature cycles. Results show that the initial volume resistivity reduces due to the incorporation of carbon powder(CP) and nano-silica(NS), and meets the lowest when the CP and NS mass ratio is 1:0.6. The volume resistivity increases linearly with the temperature rising, and reaches the maximum temperature sensitivity coefficient of 78.8%. During the temperature cycle process, the volume resistivity of all specimens first decreases and then increases with the increasing temperature uniformly. The three groups (CP/NS ratio 1:0.2, 1:0.6, and 1:0) share the same PTC effect transition temperature range, from 30 to 60 °C. And for the 1:1 group, the transition temperature is about 0 °C, which is the lowest. Altogether, these enhancements provide avenues for future self-sensing carbon fiber composites in engineering structures.
Six degrees of freedom intrafraction cranial motion detection using a novel capacitive monitoring technique: evaluation with human subjects
Authors: Sadeghi P , Bastin-Decoste D , Robar J L 
Published: January 2023

Abstract
The purpose of this work is to introduce and evaluate a capacitive monitoring array capable of continuous 6DOF cranial motion detection during high precision radiotherapy. The ring-shaped capacitive array consists of four equally sized conductive sensors positioned at the cranial vertex. The system is modular, non-contact, and provides continuous motion information through the thermoplastic immobilization mask without relying on skin monitoring or use of ionizing radiation. The array performance was evaluated through a volunteer study with a cohort of twenty-five individuals. The study was conducted in a linac suite and the volunteers were fitted with an S-frame thermoplastic mask. Each volunteer took part in one data acquisition session per day for three consecutive days. During the data acquisition, the conductive array was translated and rotated relative to their immobilized cranium in 1-millimetre and 1-degree steps to simulate cranial motion. Capacitive signals were collected at each position at a frequency of 20 Hz. The data from the first acquisition session was then used to train a classifier model and establish calibration equations. The classifier and calibration equations were then applied to data from the subsequent acquisition sessions to evaluate the system performance. The trained classifiers had an average success rate of 92.6% over the volunteer cohort. The average error associated with calibration had a mean value below 0.1 mm or 0.1 deg for all six motions. The capacitive array system provides a novel method to detect translational and rotational cranial motion through a thermoplastic mask.
Implementation of CYP2D6-guided opioid therapy at Cincinnati Children’s Hospital Medical Center
Authors: Ramsey Laura B , Prows Cynthia A , Chidambaran Vidya , Sadhasivam Senthilkumar , Quinn Charles T , Teusink-Cross Ashley , Tang Girdwood Sonya , Dawson D Brian , Vinks Alexander A , Glauser Tracy A 
Published: January 2023

Abstract

Purpose
We describe the implementation of CYP2D6-focused pharmacogenetic testing to guide opioid prescribing in a quaternary care, nonprofit pediatric academic medical center.

Summary
Children are often prescribed oral opioids after surgeries, for cancer pain, and occasionally for chronic pain. In 2004, Cincinnati Children’s Hospital Medical Center implemented pharmacogenetic testing for CYP2D6 metabolism phenotype to inform codeine prescribing. The test and reports were updated to align with changes over time in the testing platform, the interpretation of genotype to phenotype, the electronic health record, and Food and Drug Administration (FDA) guidance. The use of the test increased when a research project required testing and decreased as prescribing of oxycodone increased due to FDA warnings about codeine. Education about the opioid-focused pharmacogenetic test was provided to prescribers (eg, the pain and sickle cell teams) as well as patients and families. Education and electronic health record capability increased provider compliance with genotype-guided postsurgical prescribing of oxycodone, although there was a perceived lack of utility for oxycodone prescribing.

Conclusion
The implementation of pharmacogenetic testing to inform opioid prescribing for children has evolved with accumulating evidence and guidelines, requiring changes in reporting of results and recommendations.
Exposure Characterization of Wood Dust Particulate, Endotoxins, and (1–3)-β-d-Glucans, and Their Determinants in Mozambiquan Wood Processing Workers
Authors: Chamba Paulino S , Baatjies Roslynn , Singh Tanusha S , Cumbane Antonio J , Jeebhay Mohamed F 
Published: January 2023

Abstract

Objectives
Dust generated from wood processing comprises a heterogeneous mixture of inorganic and organic particles, including wood fragments, microorganisms, endotoxins, (1–3)-β-d-glucans, and allergens. This study characterized exposure to wood dust and its determinants in the Mozambiquan wood processing industry.

Methods
A total of 124 personal inhalable samples, collected from a stratified random sample of 30 workers, were analysed for dust particulate, endotoxins, and (1–3)-β-d-glucans. Mixed-effects models were developed to investigate significant exposure determinants.

Results
The geometric mean (GM) inhalable dust particulate concentrations were 3.29 mg m−3, 98 endotoxin units (EU) m−3, and 123 ng m−3 for (1–3)-β-d-glucans. Significant predictors for higher particulate levels included machinery (GMR = 1.93), sawing (GMR = 2.80), carpentry (GMR = 2.77), or painting (GMR = 3.03) tasks. Lebombo-ironwood species was associated with higher dust particulate levels (GMR = 1.97). Determinants of endotoxin concentrations included working with dry wood and damp cleaning methods, which were associated with lower levels. Working in closed buildings (GMR = 3.10) and dry sweeping methods were associated with higher (1–3)-β-d-glucan concentrations (GMR = 1.99).

Conclusions
Work tasks in certain exposure groups (machinery, sawing, carpentry, painting), processing certain wood species (Lebombo-ironwood) and working in closed buildings were associated with higher exposures, whilst using dry wood and damp cleaning practices reduced exposure levels.