bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of tissue and therapy parameters from surface temperature.
Authors: Fernández Antoni Bancells 
Published: February 2023

Abstract
The temperature distribution of human body tissues, when electromagnetic waves are applied, is studied with the help of the bioheat equation, which is characterised by several thermal parameters, such as thermal conductivity, perfusion frequency or metabolic heat. There are also electromagnetic parameters, such as electrical conductivity and dielectric constant. Besides, therapy parameters, such as the applied power should be considered. If the values of all these parameters are known, the time evolution of the temperature can be determined. Some of these values can be found in specialised databases, and others are unknown but approximate values can be obtained by reasonable estimations. The outcome of simulations depends heavily on the parameter values. Surface temperature helps in providing better estimates of the parameter values. Once these parameters are identified, medical analyses can be performed to assess the dosimetry of the radiation so that it does not damage tissues, for example. The surface temperature is obtained from a sequence of thermographic images. Based on these experimental data, an algorithm is applied to find the values of the needed parameters. The model is simulated iteratively, adjusting the parameters at each step, reducing the approximation error between the simulation and the data. This is an optimization problem that belongs to the realm of inverse problems. It can be solved using techniques based on the gradient concept, however, this problem can be ill-conditioned, so probabilistic or evolutionary algorithms are also used. In this paper, the simulation is made using a method based on Legendre wavelets. It is proposed that the subsequent optimization is made using an evolutionary algorithm, that has shown great robustness in the problems where it has been applied. As far as known, it has never been applied to the bioheat equation. This is the aim of this work.
Present Situation of Non-Value-Added Activities of BIM Application in Water Conservancy Projects-- A Survey Based on TOE Framework
Authors: Zhang Jiayi 
Published: February 2023

Abstract
BIM technology is widely used in today’s construction industry. Compared with the construction industry, China lacks in-depth research on BIM’s application to water conservancy sectors and there are many problems. Based on the application of BIM in the water industry, this study introduces the TOE framework to focus on the non-value-added activities in the use of BIM, and analyzes the non-value-added activities in the application and promotion of BIM in the water industry that affect the priority allocation of resources and other issues, and finds that the technical aspect is the biggest problem in the promotion of BIM.
Numerical Analysis and Experiments on Heavy Oil Heating of Shipwrecks
Authors: Du Guangming , Zhang Wei , Zhang Puyang , Liu Jingjing 
Published: February 2023

Abstract
Analyze the change of oil temperature flow times during the heating process of wreck heavy oil and the temperature gradient change in the radiation area of the heating source. Using the result guide the heating process of low-temperature underwater oil recovery operations on the wreck. fluid software was used for the analysis process of the numerical simulation, and the physical model test is a simulation test of low temperature underwater electromagnetic heating of heavy oil. In this way, data related to the heating process of heavy oil can be obtained. from the numerical analysis results and the physical model test results, it can be concluded that the numerical simulation results are similar to the experimental verification results. The result can be used for engineering guidance. Due to the physical properties of heavy oil, the oil temperature decays faster during the heating process and the radiation effect of heat source is small, using the electromagnetic heater heats the heavy oil in the oil tank, and the heavy oil can be heated to meet the requirements of the pumping operation in a short time. The calculation model parameters are derived from actual operations. Numerical calculations and physical test results are of great significance to engineering guidance and can guide the underwater cryogenic oil pumping operation of shipwrecks.
RD50-MPW3: a fully monolithic digital CMOS sensor for future tracking detectors
Authors: Sieberer P. , Zhang C. , Bergauer T. , Casanova R. , Irmler C. , Karim N. , Mazorra de Cos J. , Pilsl B. , Vilella E. 
Published: February 2023

Abstract
The CERN-RD50 CMOS working group develops the RD50-MPW series of monolithic high-voltage CMOS pixel sensors for potential use in future high luminosity experiments such as the HL-LHC and FCC-hh. In this contribution, the design of the latest prototype in this series, RD50-MPW3, is presented. An overview of its pixel matrix and digital readout periphery is given, with discussion of the new structures implemented in the chip and the problems they aim to solve. The main analogue and digital features of the sensor are already tested and initial laboratory characterisation of the chip is presented.
Thermal and humidity monitoring in “Cold” silicon-based high energy physics detectors
Authors: Kapic A. , Tsirou A. , Verdini P.G. , Carrara S. 
Published: February 2023

Abstract
As high readout channel density and compact design become the norm for HEP detectors so is the detector cooling at temperatures below the experimental site dewpoint. This increases the importance of humidity and temperature monitoring systems that are also adapted to the detector environment. The proposed systems for temperature and humidity monitoring are developed targeting compactness, cost, and seamless integration to the CMS DSS/DCS systems. Therefore, this paper presents a novel design for a standalone system, able to condition up to 24 temperature sensors. The proposed temperature monitoring system is aimed at many hundreds of RTD sensors with modest space and price requirements. For humidity monitoring, we have identified a potential sensing element and designed, built and tested the conditioning electronics capable of nullifying the capacitance of the long cables.
Effect of CrYN/TiBN coating on friction performance and corrosion resistance of 316 stainless steel in artificial seawater
Authors: Yu Yunjiang , Li Man , Zou Changwei , Tian Canxin , Xiang Yanxiong 
Published: February 2023

AbstractCrYN, TiBN, and CrYN/TiBN coatings were successfully deposited on 316 stainless steel substrates via multi-arc ion plating techniques to improve their wear and corrosion resistance properties in marine environments. The morphology, microstructure, friction performance, and corrosion resistance of the three coatings in artificial seawater were systematically studied. X-ray diffraction, X-ray photoelectron spectroscopy, and scanning electron microscopy investigations confirmed a dominant face-centered cubic CrN structure, accompanied by hexagonal TiB2and amorphous BN in CrYN/TiBN coatings. The SEM cross-section shows that the TiBN and CrYN/TiBN coatings have a more compact cross-sectional structure than the CrYN monolayer coating. The CrYN/TiBN coatings exhibited the lowest smooth friction coefficient in artificial seawater, and the wear rate was ranked as TiBN < CrYN/TiBN < CrYN. Surface morphological studies performed after tribocorrosion revealed that the protection ability of all three coatings remained acceptable. The electrochemical test showed that the corrosion tendency was CrYN/TiBN < TiBN < CrYN, and the CrYN/TiBN coating had the best performance in the AC impedance spectrum and polarization curve.
Cation trivalent tune of crystalline structure and magnetic properties in coprecipitated cobalt ferrite nanoparticles
Authors: Prasetya Nurdiyantoro Putra , Setiyani Riyana Indah , Utari  , Kusumandari Kusumandari , Iriani Yofentina , Safani Jamhir , Taufiq Ahmad , Wibowo Nur Aji , Suharno Suharno , Purnama Budi 
Published: February 2023

Abstract
CoFe2O4, CoBi0.1Fe1.9O4, CoLa0.1Fe1.9O4, and CoAl0.1Fe1.9O4 nanoparticles were successfully synthesized by the coprecipitation method. After annealing at 700 °C for 5 h, the x-ray Diffractometer results confirm that a single phase of cobalt ferrite-based nanoparticles is obtained, which is suitable for ICDD 22-1086. The addition of Bi3+, La3+ and Al3+ ions to the cobalt ferrite nanoparticles modified the crystallite size and lattice constant. Trivalent metal cation substitution tunes the crystallite size which has also been confirmed by measuring the grains with Scanning Electron Microscope images. In the Far Transform Infra-Red curve, the addition of metal ions (Bi3+, La3+, and Al3+) to cobalt ferrite nanoparticles resulted in absorption peaks at the tetrahedral and octahedral sites without any additional absorption peaks. The VSM results showed that saturation magnetization decreased drastically in the presence of trivalent non-magnetic cations, which confirms the replacement of Fe3+ by trivalent non-magnetic cations. The kOe order of the coercive field was obtained in this experiment. The largest coercive field of the cobalt ferrite nanoparticles was obtained with the addition of La3+ ions, i.e. 3.67 kOe suggest to support both Jahn-Teller effect and strain-induced magnetism.
Mobilizing through dialogue: building interdisciplinary partnerships among forest health, wildland fire, and public health sectors to find solutions to address the impact of wildland fire smoke on communities
Authors: D’Evelyn SM , Blancas M , Pollowitz M , Haugo RD , Masuda YJ , Prichard SJ , Ray K , Walker EG , Spector JT 
Published: February 2023

AbstractThe impact of smoke from wildland fires on communities across the western United States is an interdisciplinary crisis that requires an interdisciplinary solution. There are increasing calls for cross-collaboration between forest, fire, air quality, and public health practitioners to best prepare communities for ever-worsening smoke seasons. However, opportunities to engage interdisciplinary groups of practitioners and stakeholders on this topic have been largely missing. We report on the development and implementation of a hybrid in-person and online workshop that brought together practitioners from Washington State to foster new interdisciplinary relationships and partnerships in order to integrate public health considerations into forest management during and beyond fire season. This workshop highlighted ways in which hybrid workshops can facilitate discussions across traditionally siloed stakeholders to address the community health crisis of wildfire smoke and illuminate tangible steps for further facilitating integrated discussions around a shared area of interest. Key lessons included the importance of introductory meetings for establishing strong collaborations and the strength of hybrid settings for fuller participation by diverse stakeholders. This manuscript outlines ways in which local practitioners from other smoke-impacted communities can begin to build and utilize interdisciplinary partnerships to prepare and adapt for longer and more severe wildland fire smoke seasons.
A deep investigation of NiO and MnO through the first principle calculations and Monte Carlo simulations
Authors: Alaei Mojtaba , Karimi Homa 
Published: February 2023

Abstract
In this study, we use Hubbard-corrected density functional theory (DFT+U) to derive spin model Hamiltonians consisting of Heisenberg exchange interactions up to the fourth nearest neighbors and bi-quadratic interactions. We map the DFT+U results of several magnetic configurations to the Heisenberg spin model Hamiltonian to estimate Heisenberg exchanges. We demonstrate that the number of magnetic configurations should be at least twice the number of exchange parameters to estimate exchange parameters correctly. To calculate biquadratic interaction, we propose specific non-collinear magnetic configurations that do not change the energy of the Heisenberg spin model. We use classical Monte Carlo (MC) simulations to evaluate DFT+U results. We obtain the temperature dependence of magnetic susceptibility and specific heat to determine the Curie–Weiss and Néel temperatures. The MC simulations reveal that although the biquadratic interaction can not change the Néel temperature, it modifies the order parameter. We indicate that for a fair comparison between classical MC simulations and experiments, we need to consider the quantum effect by applying

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correction in classical MC simulations.
Developing novel machine-learning-based fire weather indices
Authors: Shmuel Assaf , Heifetz Eyal 
Published: February 2023

Abstract
Accurate wildfire risk estimation is an essential yet challenging task. As the frequency of extreme fire weather and wildfires is on the rise, forest managers and firefighters require accurate wildfire risk estimations to successfully implement forest management and firefighting strategies. Wildfire risk depends on non-linear interactions between multiple factors; therefore, the performance of linear models in its estimation is limited. To date, several traditional fire weather indices (FWIs) have been commonly used by weather services, such as the Canadian FWI.@Traditional FWIs are primarily based on empirical and statistical analyses. In this paper, we propose a novel FWI that was developed using machine learning—the machine learning based fire weather index (MLFWI). We present the performance of the MLFWI and compare it with various traditional FWIs. We find that the MLFWI significantly outperforms traditional indices in predicting wildfire occurrence, achieving an area under the curve score of 0.99 compared to 0.62–0.80. We recommend applying the MLFWI in wildfire warning systems.
Designing polar textures with ultrafast neuromorphic features from atomistic simulations
Authors: Prosandeev Sergey , Prokhorenko Sergei , Nahas Yousra , Yang Yali , Xu Changsong , Grollier Julie , Talbayev Diyar , Dkhil Brahim , Bellaiche L 
Published: February 2023

Abstract
This review summarizes recent works, all using a specific atomistic approach, that predict and explain the occurrence of key features for neuromorphic computing in three archetypical dipolar materials, when they are subject to THz excitations. The main ideas behind such atomistic approach are provided, and illustration of model relaxor ferroelectrics, antiferroelectrics, and normal ferroelectrics are given, highlighting the important potential of polar materials as candidates for neuromorphic computing. Some peculiar emphases are made in this Review, such as the connection between neuromorphic features and percolation theory, local minima in energy path, topological transitions and/or anharmonic oscillator model, depending on the material under investigation. By considering three different and main polar material families, this work provides a complete and innovative toolbox for designing polar-based neuromorphic systems.
Proposing an LCA methodology for the assessment of neighbourhood refurbishment measures
Authors: Slabik Simon , Storck Michael , Zernicke Caya , Hafner Annette 
Published: February 2023

Abstract
Environmental impacts of new construction in the built environment have been determined for considerable time using life cycle assessments (LCAs). However, the significance of the existing building stock is neglected when considering environmental impacts at the level of embodied energy. Today alone, most of the buildings that will remain in place in 2050 are already in existence. For achieving national and international climate protection goals, the LCA of refurbishment measures is crucial. Thus, the link between building LCAs, which are conducted based on EN 15978, and refurbishment measures is established and ultimately transferred to the neighbourhood level. This paper provides a methodology in accordance with applicable standards to make use of a large activation potential in neighbourhoods. An initial focus is on the survey of the area to be investigated. The subdivision and typologisation of the building stock based on established toolboxes within the neighbourhood as well as the description of the implemented measures are besides in the focus of the methodology. Multiple scenarios for existing buildings in the neighbourhood combined with a consistent framework enables LCA to be conducted. The connection of the spatial component by a demarcated neighbourhood and the connection with the structural dimension by buildings enables a holistic view of refurbishment measures in the urban environment. As a link between the individual building and the municipality, the neighbourhood serves as a meso level.
Autologous Fat Grafting in Female Genital Area Improves Sexual Function by Increasing Collagenesis, Angiogenesis, and Estrogen Receptors
Authors: Lai Ya-Wei , Wu Sheng-Hua , Chou Ping-Ruey , Lin Che , Yeh Jwu-Lai , Lin Tsai-Ming , Chai Chee-Yin , Hsieh Meng-Chien Willie , Huang Shu-Hung 
Published: February 2023

Abstract

Background
Vulvovaginal laxity, atrophic vaginitis, and orgasmic dysfunction are not only aesthetic but also sexual problems. Autologous fat grafting (AFG) facilitates tissue rejuvenation through the effects of adipose-derived stem cells; the fat grafts serve as soft-tissue filler. However, few studies have reported the clinical outcomes of patients undergoing vulvovaginal AFG.

Objectives
The aim of this study was to describe a new technique, micro-autologous fat transplantation (MAFT), for AFG in the vulvovaginal area. Posttreatment histologic changes in the vaginal canal that imply improved sexual function were assessed.

Methods
This retrospective study enrolled females who underwent vulvovaginal AFG performed through MAFT between June 2017 and 2020. Assessments were based on the Female Sexual Function Index (FSFI) questionnaire and on histologic and immunohistochemical staining.

Results
In total, 20 female patients (mean age, 38.1 years) were included. On average, 21.9 mL of fat was injected into the vagina and 20.8 mL in the vulva and mons pubis area. Six months afterwards, the patients’ mean total FSFI score (68.6) was significantly higher than that at baseline (43.8; P &lt; .001). Histologic and immunohistochemical staining of vaginal tissues revealed substantially increased levels of neocollagenesis, neoangiogenesis, and estrogen receptors. By contrast, the level of protein gene product 9.5, which is associated with neuropathic pain, was considerably lower after AFG.

Conclusions
AFG performed through MAFT in the vulvovaginal area may help manage sexual function–related problems in females. In addition, this technique improves aesthetics, restores tissue volume, alleviates dyspareunia with lubrication, and reduces scar tissue pain.
TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles
Authors: Sarwal Varuni , Brito Jaqueline , Mangul Serghei , Koslicki David 
Published: February 2023

AbstractBackgroundMetagenomic taxonomic profiling aims to predict the identity and relative abundance of taxa in a given whole-genome sequencing metagenomic sample. A recent surge in computational methods that aim to accurately estimate taxonomic profiles, called taxonomic profilers, has motivated community-driven efforts to create standardized benchmarking datasets and platforms, standardized taxonomic profile formats, and a benchmarking platform to assess tool performance. While this standardization is essential, there is currently a lack of tools to visualize the standardized output of the many existing taxonomic profilers. Thus, benchmarking studies rely on a single-value metrics to compare performance of tools and compare to benchmarking datasets. This is one of the major problems in analyzing metagenomic profiling data, since single metrics, such as the F1 score, fail to capture the biological differences between the datasets.FindingsHere we report the development of TAMPA (Taxonomic metagenome profiling evaluation), a robust and easy-to-use method that allows scientists to easily interpret and interact with taxonomic profiles produced by the many different taxonomic profiler methods beyond the standard metrics used by the scientific community. We demonstrate the unique ability of TAMPA to generate a novel biological hypothesis by highlighting the taxonomic differences between samples otherwise missed by commonly utilized metrics.ConclusionIn this study, we show that TAMPA can help visualize the output of taxonomic profilers, enabling biologists to effectively choose the most appropriate profiling method to use on their metagenomics data. TAMPA is available on GitHub, Bioconda, and Galaxy Toolshed at https://github.com/dkoslicki/TAMPA and is released under the MIT license.
Contrast subgraphs allow comparing homogeneous and heterogeneous networks derived from omics data
Authors: Lanciano Tommaso , Savino Aurora , Porcu Francesca , Cittaro Davide , Bonchi Francesco , Provero Paolo 
Published: February 2023

AbstractBackgroundBiological networks are often used to describe the relationships between relevant entities, particularly genes and proteins, and are a powerful tool for functional genomics. Many important biological problems can be investigated by comparing biological networks between different conditions or networks obtained with different techniques.FindingsWe show that contrast subgraphs, a recently introduced technique to identify the most important structural differences between 2 networks, provide a versatile tool for comparing gene and protein networks of diverse origin. We demonstrate the use of contrast subgraphs in the comparison of coexpression networks derived from different subtypes of breast cancer, coexpression networks derived from transcriptomic and proteomic data, and protein–protein interaction networks assayed in different cell lines.ConclusionsThese examples demonstrate how contrast subgraphs can provide new insight in functional genomics by extracting the gene/protein modules whose connectivity is most altered between 2 conditions or experimental techniques.
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models
Authors: Matabuena Marcos , Petersen Alexander 
Published: February 2023

Abstract
The aim of this paper is twofold. First, a new functional representation of accelerometer data of a distributional nature is introduced to build a complete individualized profile of each subject’s physical activity levels. Second, we extend two nonparametric functional regression models, kernel smoothing and kernel ridge regression, to handle survey data and obtain reliable conclusions about the influence of physical activity. The advantages of the proposed distributional representation are demonstrated through various analyses performed on the NHANES cohort, which possesses a complex sampling design.
Postcranial disparity of galeaspids and the evolution of swimming speeds in stem-gnathostomes
Authors: Gai Zhikun , Lin Xianghong , Shan Xianren , Ferrón Humberto G , Donoghue Philip C J 
Published: February 2023

AbstractGaleaspids are extinct jawless relatives of living jawed vertebrates whose contribution to understanding the evolutionary assembly of the gnathostome bodyplan has been limited by absence of postcranial remains. Here, we describe Foxaspis novemura gen. et sp. nov., based on complete articulated remains from a newly discovered Konservat-Lagerstätte in the Early Devonian (Pragian, ∼410 Ma) of Guangxi, South China. F. novemura had a broad, circular dorso-ventrally compressed headshield, slender trunk and strongly asymmetrical hypochordal tail fin comprised of nine ray-like scale-covered digitations. This tail morphology contrasts with the symmetrical hypochordal tail fin of Tujiaaspis vividus, evidencing disparity in galeaspid postcranial anatomy. Analysis of swimming speed reveals galeaspids as moderately fast swimmers, capable of achieving greater cruising swimming speeds than their more derived jawless and jawed relatives. Our analyses reject the hypothesis of a driven trend towards increasingly active food acquisition which has been invoked to characterize early vertebrate evolution.