bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analytical study of heat transfer through friction overlay of band-pad brakes
Authors: Pazen O Y , Tatsiy R M , Ya Ropyak L , Vytvytskyi V S 
Published: March 2023

Abstract
The paper analyses the operating conditions of band-pad brakes of drilling winch, materials and coatings for strengthening the metal elements of friction pairs. Methods of researching the thermal and stress-strain state of elements of brake friction units are considered. The problem of the development and theoretical research of the properties of new polymer materials with gradient properties for the production of friction overlays of band-pad brakes with improved operational characteristics is singled out. A mathematical model heat transfer through friction overlays of band-pad brakes of drilling winches with a variable coefficient of thermal conductivity of the material based on the thickness of the specified overlays has been developed. According to the developed mathematical model, an analytical study of the process of heat transfer through the friction overlays of band-pad with variable coefficient of thermal conductivity of their polymer material according to the thickness of the friction overlays was carried out according to different laws. It was established that the highest intensity of heat removal from the friction zone of the brakes is ensured when the thermal conductivity coefficient changes according to the law described by a second-order polynomial.
To the question of mathematical modeling of the crushed wood particles movement in pneumatic transport and aspiration systems
Authors: Liashenyk A V , Udovytskyi O M , Dorundiak L M , Udovytska M V 
Published: March 2023

Abstract
Transport pneumatic systems (TPS) are widely used in various branches of industries. The transportation of crushed material in such systems is carried out due to the air flow. In the woodworking industry, there are technological processes that are often accompanied by the formation of dust and other small air pollutants. Studying the movement of particles in polluted air makes it possible to transport or separate such particles, while spending less energy. In this paper, the mathematical model of the movement of dusty air containing separate solid particles (production waste) was worked out, and based on it, solution will allow to separate and capture crushed wood particles and to reduce the cost of consumed electricity for transportation is proposed.
The influence of the design of the upper cover of the cyclone on its characteristics
Authors: Maistruk V V 
Published: March 2023

Abstract
An analysis of the works in which the designs of widespread dust-capturing devices are studied. It has been established that the prediction of the operation of dust-collecting devices in certain conditions is most effectively carried out by the methods of numerical modeling and simulation of the separation process, which are widely used for the research of devices of this type. With the help of numerical modeling methods, the structure of the gas flow in the cyclone for different designs of the top cover, the influence of the gas flow velocity in the inlet nozzle on the hydraulic resistance of the device and compared it with experimental data were determined.
Rational choice of torques distribution between the front and back electric motors of automobile wheels drive
Authors: Podryhalo M , Kaidalov R , Omelchenko V 
Published: March 2023

Abstract
Two-axle all-wheel drive automobiles and the procedure for determining the torques between the front and back driving wheels are considered. The influence of the distribution of torques between the front and back driving wheels of all-wheel drive two-axle automobiles on their controllability, stability and energy efficiency is analyzed. A study was conducted to improve the energy efficiency of two-axle automobiles by rationally choosing the torque distribution coefficient between the front and back wheels. A mathematical model of the efficiency ratio of the wheel drive of a two-axle automobile was obtained, which makes it possible to determine the ratio of the rational distribution of torques between the front and back wheels through its optimization. It has been proven that the use of electric automobiles and automobiles with a combined power unit will allow to control the distribution of torques between their front and back wheels controlled by electric motors. The proposed rational choice of the distribution of torques between the front and rear electric motors of the wheel drive will allow to increase the efficiency of the wheel drive and improve the energy efficiency not only of single electric automobiles and hybrid automobiles, but also of road trains that use a combined electromechanical drive of the driving wheels.
Modeling of three-link road trains
Authors: Zinko R , Lanets O , Skvarok Y 
Published: March 2023

Abstract
It is proposed to use graphs for developing the mathematical model of multi-link road trains with coupling devices of different designs. The calculation scheme is formed on the basis of the structure graph of the multi-link road train construction scheme. Next, the structure graph of the mathematical model generalized coordinates levels is written. This allows to develop the mathematical model of appropriate complexity depending on the research objectives. The developed mathematical motion model of a multi-link road train with an elastic-damping joints of their main elements was represented by a system of nonlinear inhomogeneous ordinary differential equations of the second order. The acceleration process for three-link road train with pneumatic coupling devices between train links was modeled.
Mathematical model of agricultural aggregate movement based on the Autotractor
Authors: Adamchuk V V , Pohoriliy S P , Prysiazhnyi V G , Yu Mirnyi V 
Published: March 2023

Abstract
The paper presents theoretical studies of the movement of the agricultural unit on the basis of the MEZ-330 «Autotractor». An equivalent dynamic model of an agricultural unit on the basis of MEZ-330 «Autotractor» is presented. A system of differential equations has been compiled, which makes it possible to describe the interrelation of the main structural parameters of the unit and its operating modes. The results of modeling the motion of the MEZ-330 «Autotractor» on the implementation of technological operations are given. According to the simulation results, the dependences describing the influence of the mass of the MEZ-330 «Autotractor» on the coefficient of slipping of its wheels were established. It is established that the obtained theoretical dependences are adequate and correlate with experimental data with a 95% confidence probability.
Comparative assessment of the efficiency of some car drives
Authors: Rudyk Y , Gavryliyk A , Kuts V , Yatsuk V , Vinogradov S 
Published: March 2023

Abstract
The fundamental basis for the scientific progress is the cheaper technology. Systems analysis and engineering, decision-making systems are based on data completeness and their validation. The study aims to provide the following grounds for a systematic comparison of economic and environmental performance of vehicles with different fuel drives. The issue of logistical attractiveness and compatibility for Ukraine is especially relevant today. Thus, specific fuel consumption is calculated by determining the cost of electricity that goes to charge the traction battery from the mains and is equivalently converted into the cost of fuel. The paper presents a method of calculating the equivalent fuel consumption for electric vehicles according to European (l per 100 km) and American standards (miles per 1 gallon). According to the results of fuel efficiency studies, it is established that the equivalent fuel consumption on the territory of Ukraine of the studied electric vehicles is 8-10 times lower than the fuel consumption of cars of the same class with internal combustion engines.
Computation of Tense-Deformed State of the Die Mold Matrix
Authors: Velyka O.T. , Bojko M. V. , Velykyj N.-T. I. 
Published: March 2023

Abstract
A method of computation of the tense-deformed state of the die mold matrix is described in the given article. Using the criterion of the same durability an algorithm of minimization of its weight is built after the structural parameters. The stress-strain state of the matrix was calculated in the AUTODESK INVENTOR . Research and analysis of the stress-strain state of the matrix was carried out and its optimal parameters were determined. As a result, it makes it possible to optimize the structure of the matrix in terms of stiffness and stability and ensure its optimal performance
Study of microclimate parameters in the bus driver’s cabin in the warm season
Authors: Voichyshyn Yurii , Holenko Kostyantyn , Roman Dmytro , Horbai Orest 
Published: March 2023

Abstract
Work describes an approach to complex thermal analysis of buses salons starting from engine heat radiation and with its further distribution along the internal bus volume. Provided workflow chain in the article could be used as the base for any bus type climate and thermal investigation with the next optimization events. Heat analysis with materials thermal conductivity parameters was proceeded using Ansys Fluent and Ansys Steady State Thermal addons. Based on the obtained results, it is possible to draw conclusions about the impact of different parameters (temperature, heat radiation, humidity, etc) on the buses salons microclimate. Presented work could be much actual in practical plane like methodology used for efficient bus bodies development by engineers who could apply suggested materials for calculating the distribution of heat from the engine in the passenger compartment of the bus and studying the microclimate in different operating conditions. That could be especially valuable at the stage of the new bus models design and modelling.
Graphdiyne (C
n
H2n−2) based S-scheme heterojunction to promote carrier transfer for efficiently photocatalytic hydrogen evolution
Authors: Jin Zhiliang , Wang Xuanpu , Wu Youlin , Li Teng 
Published: March 2023

Abstract
Graphdiyne (GDY) is a new carbon allotrope with excellent properties due to its unique structure and highly conjugated system. In this work, GDY/CuMoO4 (CMO)/CuO tandem S-scheme heterojunction was constructed using the cross-coupling method. Among them, CuI is not only used as a coupling catalyst to obtain easily collected GDY, but also as a precursor for more active composite catalysts. 2D GDY provides a substrate for the loading of CMO and CuO, while the highly conjugated system and excellent electrical conductivity allow the composites to form a unique system with strong charge distribution and transport. The step-by-step progressive S-scheme heterojunctions constructed based on the one-step calcination strategy have stronger reducing activity and carrier transfer capability. The intrinsic charge transfer mechanism of the catalyst was investigated by photoelectrochemical characterization and in situ x-ray photoelectron spectroscopy analysis, and the mechanism of the photocatalytic hydrogen production reaction was proposed. This work provides a viable approach for the development of GDY in photocatalysis and the design of S-scheme heterojunctions.
A robust estimator of mutual information for deep learning interpretability
Authors: Piras Davide , Peiris Hiranya V , Pontzen Andrew , Lucie-Smith Luisa , Guo Ningyuan , Nord Brian 
Published: March 2023

Abstract
We develop the use of mutual information (MI), a well-established metric in information theory, to interpret the inner workings of deep learning (DL) models. To accurately estimate MI from a finite number of samples, we present GMM-MI (pronounced ‘Jimmie’), an algorithm based on Gaussian mixture models that can be applied to both discrete and continuous settings. GMM-MI is computationally efficient, robust to the choice of hyperparameters and provides the uncertainty on the MI estimate due to the finite sample size. We extensively validate GMM-MI on toy data for which the ground truth MI is known, comparing its performance against established MI estimators. We then demonstrate the use of our MI estimator in the context of representation learning, working with synthetic data and physical datasets describing highly non-linear processes. We train DL models to encode high-dimensional data within a meaningful compressed (latent) representation, and use GMM-MI to quantify both the level of disentanglement between the latent variables, and their association with relevant physical quantities, thus unlocking the interpretability of the latent representation. We make GMM-MI publicly available in this GitHub repository.
Comparison of Microfat, Nanofat, and Extracellular Matrix/Stromal Vascular Fraction Gel for Skin Rejuvenation: Basic Animal Research
Authors: Yang Zhibin , Dong Liangyan , Jin Shengyang , Han Xuefeng , Li Facheng 
Published: March 2023

Abstract

Background
Although stromal vascular fraction (SVF) cells and adipose-derived stem cells have well-defined antiaging effects on skin, certain disadvantages have limited their clinical application.

Objectives
The aim of this study was to evaluate the effects of microfat, nanofat, and SVF-gel in improving ultraviolet (UV)-induced photoaged skin injury in nude mice.

Methods
After successfully establishing a photoaging model by UVA and UVB irradiation in nude mice, the back of each mouse was divided into 2 regions and randomly injected under the dermis with 0.5 mL of microfat, nanofat, SVF-gel, and phosphate-buffered saline. Inflammatory infiltration, dermis thickness, hydroxyproline content, Type I/Type III collagen ratio, elastic fiber morphology, skin cell proliferation, and adipocyte viability were measured. The overall structure of the skin was also observed by scanning electron microscopy.

Results
In the microfat group, the grafts survived well, with intact structure and viable adipocytes and little infiltration of inflammatory cells. Microfat promoted skin cell proliferation, collagen content increased, the ratio of Type I and III collagen reversed, and new oxytalan fibers formed, which to some extent improved the photoaging skin. In the nanofat and SVF-gel groups, a large amount of inflammatory cell infiltration and foam cell deposition in the grafts and dermis led to fibrosis and proliferation of skin tissue. Although the skin thickness and collagen content were also increased, these factors did not improve the photoaging skin.

Conclusions
Microfat survives well, and improves photoaged skin injury in nude mice by promoting skin tissue regeneration and supplementing the capacity of subcutaneous adipose tissue.
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines
Authors: Munté Elisabet , Feliubadaló Lidia , Pineda Marta , Tornero Eva , Gonzalez Maribel , Moreno-Cabrera José Marcos , Roca Carla , Bales Rubio Joan , Arnaldo Laura , Capellá Gabriel , Mosquera Jose Luis , Lázaro Conxi 
Published: March 2023

AbstractMotivationGermline variant classification allows accurate genetic diagnosis and risk assessment. However, it is a tedious iterative process integrating information from several sources and types of evidence. It should follow gene-specific (if available) or general updated international guidelines. Thus, it is the main burden of the incorporation of next-generation sequencing into the clinical setting.ResultsWe created the vaRiants in HC (vaRHC) R package to assist the process of variant classification in hereditary cancer by: (i) collecting information from diverse databases; (ii) assigning or denying different types of evidence according to updated American College of Molecular Genetics and Genomics/Association of Molecular Pathologist gene-specific criteria for ATM, CDH1, CHEK2, MLH1, MSH2, MSH6, PMS2, PTEN, and TP53 and general criteria for other genes; (iii) providing an automated classification of variants using a Bayesian metastructure and considering CanVIG-UK recommendations; and (iv) optionally printing the output to an .xlsx file. A validation using 659 classified variants demonstrated the robustness of vaRHC, presenting a better criteria assignment than Cancer SIGVAR, an available similar tool.Availability and implementationThe source code can be consulted in the GitHub repository (https://github.com/emunte/vaRHC) Additionally, it will be submitted to CRAN soon.
Prediction and curation of missing biomedical identifier mappings with Biomappings
Authors: Hoyt Charles Tapley , Hoyt Amelia L , Gyori Benjamin M 
Published: March 2023

AbstractMotivationBiomedical identifier resources (such as ontologies, taxonomies, and controlled vocabularies) commonly overlap in scope and contain equivalent entries under different identifiers. Maintaining mappings between these entries is crucial for interoperability and the integration of data and knowledge. However, there are substantial gaps in available mappings motivating their semi-automated curation.ResultsBiomappings implements a curation workflow for missing mappings which combines automated prediction with human-in-the-loop curation. It supports multiple prediction approaches and provides a web-based user interface for reviewing predicted mappings for correctness, combined with automated consistency checking. Predicted and curated mappings are made available in public, version-controlled resource files on GitHub. Biomappings currently makes available 9274 curated mappings and 40 691 predicted ones, providing previously missing mappings between widely used identifier resources covering small molecules, cell lines, diseases, and other concepts. We demonstrate the value of Biomappings on case studies involving predicting and curating missing mappings among cancer cell lines as well as small molecules tested in clinical trials. We also present how previously missing mappings curated using Biomappings were contributed back to multiple widely used community ontologies.Availability and implementationThe data and code are available under the CC0 and MIT licenses at https://github.com/biopragmatics/biomappings.
Early blood neurofilament light chain and myelin oligodendrocyte glycoprotein antibody levels associate with different disease courses of myelin oligodendrocyte glycoprotein-associated disease in children
Authors: Horellou Philippe , Flet-Berliac Lorraine , Leroy Carole , Giorgi Laetitia , Joly Candie , Desjardins Delphine , Chrétien Pascale , Hacein-Bey-Abina Salima , Le Grand Roger , Deiva Kumaran 
Published: March 2023

AbstractAcquired demyelinating syndrome associated with myelin oligodendrocyte glycoprotein antibodies, named recently myelin oligodendrocyte glycoprotein-associated disease, represents &gt;27% of this paediatric syndrome. Relapses occur in 40% of them, which may be associated with severe outcomes. Aiming to identify biomarker allowing to predict relapse, we measured both myelin oligodendrocyte glycoprotein antibodies and neurofilament light chain levels in blood samples of patients that are known to reflect axonal injuries in neurological diseases including demyelinating autoimmune disorders. Three groups of patients were selected: relapsing myelin oligodendrocyte glycoprotein-associated disease (n = 8), non-relapsing myelin oligodendrocyte glycoprotein-associated disease (n = 7) and control patients with non-inflammatory neurological diseases (n = 12). Neurofilament light chain concentrations were measured in plasma of these three groups of patients using the high-sensitivity single-molecule array method at onset of the disease and 6 months later. At onset of the disease, we found that levels of neurofilament light chain in blood of non-relapsing patients were significantly higher than in control patients (means: 98.36 ± 22.66 versus 12.47 ± 2.47 pg/mL, **P &lt; 0.01, Kruskal–Wallis test). The mean neurofilament light chain value in relapsing patients (82.16 ± 38.41 pg/mL) was not significantly different from that in non-relapsing and in control patients. Plasma myelin oligodendrocyte glycoprotein antibody levels were 2.5-fold higher in relapsing than in non-relapsing patients without reaching significance (means: 15.26 ± 4.87 versus 5.96 ± 1.13; two-tailed Mann–Whitney U-test P = 0.119). Plasma neurofilament light chain correlated significantly with myelin oligodendrocyte glycoprotein antibody levels in relapsing (two-tailed Spearman r = 0.8, P = 0.0218) but not in non-relapsing (two-tailed Spearman r = 0.17, P = 0.71). Interestingly, the ratio of neurofilament light chain-to-myelin oligodendrocyte glycoprotein antibodies was significantly lower in relapsing than in non-relapsing patients (means: 5.19 ± 1.61 versus 21.87 ± 6.13; two-tailed Mann–Whitney U-test P = 0.014). These findings suggest that measuring both neurofilament light chain and myelin oligodendrocyte glycoprotein antibody levels in patients at onset of demyelinating disease could predict relapse of myelin oligodendrocyte glycoprotein-associated disease.
Searching in the maze: sodium–glucose cotransporter-2 inhibitors in kidney transplant recipients to improve survival
Authors: Oliveras Laia , Montero Núria , Cruzado Josep M 
Published: March 2023

ABSTRACT
Sodium–glucose cotransporter-2 inhibitors (SGLT2is) improve cardiovascular and renal outcomes in chronic kidney disease patients with and without diabetes. Kidney transplant recipients have been excluded from landmark trials using SGLT2is and literature on safety and efficacy are scarce. Recent studies suggest that the SGLT2i use in kidney transplant recipients with diabetes is safe, paving the way to investigate whether SGLT2is could also reduce cardiovascular events and kidney function deterioration in kidney allograft recipients.
AFTM: a database of transmembrane regions in the human proteome predicted by AlphaFold
Authors: Pei Jimin , Cong Qian 
Published: March 2023

AbstractTransmembrane proteins (TMPs), with diverse cellular functions, are difficult targets for structural determination. Predictions of TMPs and the locations of transmembrane segments using computational methods could be unreliable due to the potential for false positives and false negatives and show inconsistencies across different programs. Recent advances in protein structure prediction methods have made it possible to identify TMPs and their membrane-spanning regions using high-quality structural models. We developed the AlphaFold Transmembrane proteins (AFTM) database of candidate human TMPs by identifying transmembrane regions in AlphaFold structural models of human proteins and their domains using the positioning of proteins in membranes, version 3 program, followed by automatic corrections inspired by manual analysis of the results. We compared our results to annotations from the UniProt database and the Human Transmembrane Proteome (HTP) database. While AFTM did not identify transmembrane regions in some single-pass TMPs, it identified more transmembrane regions for multipass TMPs than UniProt and HTP. AFTM also showed more consistent results with experimental structures, as benchmarked against the Protein Data Bank Transmembrane proteins (PDBTM) database. In addition, some proteins previously annotated as TMPs were suggested to be non-TMPs by AFTM. We report the results of AFTM together with those of UniProt, HTP, TmAlphaFold, PDBTM and Membranome in the online AFTM database compiled as a comprehensive resource of candidate human TMPs with structural models.Database URL http://conglab.swmed.edu/AFTM