bluuebunny/crossref_metadata_2025_split huggingface dataset:
A method of spraying based on hydrodynamic and ultrasonic influence on the sprayed liquid
Authors: Shalunov Andrey V , Nesterov Viktor A , Genne Dmitriy V 
Published: February 2024

Abstract
The article is devoted to the development of a sprayer based on the method of simultaneous hydrodynamic and ultrasonic influence on the flow of sprayed liquid. The proposed spraying method makes it possible to increase spraying productivity while reducing the size of aerosol droplets. By establishing optimal conditions, with a nozzle diameter of 0.7 mm, an ultrasonic tool diameter of 8 mm and an excess pressure of the sprayed liquid of 0.7 MPa, the atomizer provides a productivity of 9 ml/s and forms an aerosol with droplet sizes D32 = 40 μm. This is primarily due to the establishment of the optimal operating mode and conditions in the cavitation zone, which make it possible to ensure the highest quantitative concentration of cavitation bubbles.
Small-signal simulation applied to calculation of the parameters of nonlinear dynamics processes control systems for DC/DC converters
Authors: Andriyanov A I 
Published: February 2024

Abstract
The article discusses the issues of choosing the control system parameters for pulse-width DC/DC converters with the target-oriented control. This takes into account the nonlinear dynamic processes control system, which is important when constructing power conversion systems with increased requirements for speed. A nonlinear dynamic model of the system is developed taking fully into account the dynamic properties of the control system. A technique for selecting control system parameters based on small-signal modelling is proposed, which greatly simplifies the calculation process. The suggested approach can be applied in developing DC/DC converters of a wide class.
Resident space objects classification by machine learning techniques
Authors: Samorodova Ekaterina 
Published: February 2024

Abstract
In recent years the number of resident space objects in near-Earth space has been increasing drastically, which can lead to a “cascade collisions” effect and other catastrophic consequences. Therefore, it is crucial to monitor resident space objects, maintain and update catalogues on time, including the identification of unknown space objects to estimate their location and potential orbit. It is necessary to perform resident space object identification quickly and accurately to avoid possible satellite collisions resulting in large clouds of uncontrollable space debris fragments. That is why the task of resident space object preliminary classification by TLEs is stated and solved by applying machine learning approaches to achieve a higher classification quality and speed. This issue is a highly imbalanced classification problem, which narrows and specifies the used models. Applying the proposed resident space object classification model to space surveillance systems can decrease the time required for the object identification significantly.
Study of the block and convolutional code decoding efficiency using a turbo code decoder
Authors: Sidorenko Alexander A 
Published: February 2024

Abstract
An urgent task is to correct errors that occur during the transmission and storage of information. To solve this problem, various noise-resistant codes have recently been increasingly used. Turbo codes have the best correcting ability in data transmission channels with a high probability of an erroneous bit. To obtain the necessary characteristics, various combinations of codes and encoding and decoding methods are used. If another block of information bits is added to the codeword of a systematic block or systematic convolutional code, then it will be possible to implement decoding of such a codeword by a turbo code decoder. The disadvantage of the resulting combined code is its extremely low correcting ability in the presence of errors in the check bits of the codeword. The article shows that the correcting ability of the presented code can be significantly increased by multiplying the decoded values of the check bits by reduction factors.
On reducing the rate of deposit formation on the AISI 316L steel surface
Authors: Dasaev M R , Kalakutskaya O V , Ryzhenkov O V 
Published: February 2024

Abstract
The article is devoted to the investigation of the rate of deposit formation on the hydrophobic modified surface of experimental samples made of AISI 316L sheet steel and samples of AISI 316L steel powder printed using selective laser melting technology. A saturated solution of CaCO3 was used as a model medium during the research. The research established that hydrophobization of the surface of AISI 316L steel based on laser texturing with the subsequent formation of molecular layers of surfactants can significantly reduce the rate of deposit formation.
Experimental studies of the deformation characteristics of mudstones under high temperature exposure
Authors: Blokhin D I , Zakorshmennyi I M , Minaev V I , Nesterova V G , Shilin N A 
Published: February 2024

Abstract
The article presents the results of laboratory thermomechanical tests of argillite samples. It has been confirmed that the deformation-strength properties of the studied type of geomaterials undergo significant changes under high-temperature influences. Features of changes in the values of deformations of argillite samples at various stages of heating were revealed. It is shown that the research results can be used in modeling thermomechanical processes occurring during underground gasification of coal in a reaction channel, to predict the development of deformation of the host rocks of an underground gas generator.
Investigation of the effect of ultrasound during explosion welding on the formation of the structure and properties of the aluminum-steel composite
Authors: Kuz’min E V , Korolev M P , Kuz’min S V , Lysak V I 
Published: February 2024

Abstract
The paper presents the results of experimental studies of the effect of ultrasonic vibrations during explosion welding on the formation of the structure and properties of the connection of steel with aluminum. It is shown that the introduction of ultrasound during explosive loading has a significant effect on the structure and properties of the aluminum-steel compound. The chemical composition of the areas of the melted metal is considered. The results of the tensile strength of aluminum+steel composite layers are presented. It has been experimentally established that the introduction of additional ultrasound energy in the process of explosive loading of an aluminum-steel compound contributes to a significant reduction in the amount of molten metal at the junction boundary throughout the studied range.
Research of the application of nickel-chrome-silicon bronze BrNHK for the manufacture of helical compression springs
Authors: Silaev Mikhail , Lenina Victoria , Mirzaev Osman , Timokhov Roman , Sokolova Viktoriia , Akhmetshin Stanislav , Yakushev Adel 
Published: February 2024

Abstract
The results of a study of the mechanical characteristics of the BrNHK bronze alloy using the acoustic emission method are presented. The mechanical characteristics of BrNHK-2.5-0.6-0.7 wire were studied after various heat treatment modes. The widespread use of bronze alloy BrKMts3-1 is due to its low price, while the mechanical and operational properties satisfy both consumers and spring manufacturers, since the technology for manufacturing springs from this alloy is not fundamentally different from the technology for manufacturing springs from cold-worked wire. In turn, the BrB2 alloy is considered a scarce alloy and is used only for springs intended for special equipment, since the properties of this alloy after hardening heat treatment are not inferior to cold-worked carbon steels. Given the increased cost of beryllium, work is underway both to reduce the beryllium content and to switch to beryllium-free alloys.
Features of deformation resistance of polypropylene polymer films
Authors: Eshbaeva Ulbosin , Zufarova Dilobar , Baltabaeva Barno 
Published: February 2024

Abstract
The article studies the physical and mechanical properties of experimental polymer materials, which are determined by parameters such as Tensile strength s, tensile model E, relative elongation at break ε, which affect the quality of printing under other equal conditions. Experimental studies on the elongation of biaxially oriented polypropylene and polyethylene polymer films were carried out in accordance with the requirements of GOST 14236-81. The tensile modulus E was determined according to Hooke’s law when observing a rectilinear area in the limit of small deformations on the stretching diagram of polymer films.
Dynamics of heat release in a dual-fuel engine
Authors: Lopatin O P 
Published: February 2024

Abstract
The increasing attention to the use of dual-fuel engines with compression ignition leads to the need to study the thermal engineering processes occurring in them. A model for calculating the thermal engineering stages in a cylinder of a dual-fuel engine with a refined composition of the working fluid is presented, including the determination of fuel supply characteristics, fuel injection and evaporation functions and allowing theoretically to determine with high accuracy the pressure function, cycle operation, power, efficient and thermal criteria for the operation of a dual-fuel engine. The paper attempts to show the mutual relationship between the individual processes of heat generation, their influence on the design parameters under the operating conditions characteristic of a dual-fuel engine, as well as on the operating conditions of components and parts.
Flux-pinning mediated superconducting diode effect in NbSe2/CrGeTe3 heterostructure
Authors: Mehrnejat A , Hatnean M Ciomaga , Rosamond M C , Banerjee N , Balakrishnan G , Savel’ev S E , Dejene F K 
Published: February 2024

Abstract
In ferromagnet/superconductor bilayer systems, dipolar fields from the ferromagnet can create asymmetric energy barriers for the formation and dynamics of vortices through flux pinning. Conversely, the flux emanating from vortices can pin the domain walls of the ferromagnet, thereby creating asymmetric critical currents. Here, we report the observation of a superconducting diode effect (SDE) in a NbSe2/CrGeTe3 van der Waals heterostructure in which the magnetic domains of CrGeTe3 control the Abrikosov vortex dynamics in NbSe2. In addition to extrinsic vortex pinning mechanisms at the edges of NbSe2, flux-pinning-induced bulk pinning of vortices can alter the critical current. This asymmetry can thus be explained by considering the combined effect of this bulk pinning mechanism along with the vortex tilting induced by the Lorentz force from the transport current in the NbSe2/CrGeTe3 heterostructure. We also provide evidence of critical current modulation by flux pinning depending on the history of the field setting procedure. Our results suggest a method of controlling the efficiency of the SDE in magnetically coupled van der Waals superconductors, where dipolar fields generated by the magnetic layer can be used to modulate the dynamics of the superconducting vortices in the superconductors.
Klein tunneling degradation and enhanced Fabry-Pérot interference in graphene/h-BN moiré-superlattice devices
Authors: Tran Viet-Anh , Nguyen Viet-Hung , Charlier Jean-Christophe 
Published: February 2024

Abstract
Hexagonal boron-nitride (h-BN) provides an ideal substrate for supporting graphene devices to achieve fascinating transport properties, such as Klein tunneling, electron optics and other novel quantum transport phenomena. However, depositing graphene on h-BN creates moiré superlattices, whose electronic properties can be significantly manipulated by controlling the lattice alignment between layers. In this work, the effects of these moiré structures on the transport properties of graphene are investigated using atomistic simulations. At large misalignment angles (leading to small moiré cells), the transport properties (most remarkably, Klein tunneling) of pristine graphene devices are conserved. On the other hand, in the nearly aligned cases, the moiré interaction induces stronger effects, significantly affecting electron transport in graphene. In particular, Klein tunneling is significantly degraded. In contrast, strong Fabry-Pérot interference (accordingly, strong quantum confinement) effects and non-linear I-V characteristics are observed. P-N interface smoothness engineering is also considered, suggesting as a potential way to improve these transport features in graphene/h-BN devices.
Effect of heat treatment on microstructural characteristics and mechanical properties of hypereutectic B390 aluminium alloys modified by phosphorus and bismuth
Authors: Jiandon Porawit , Talangkun Sukangkana , Ponhan Kowit 
Published: February 2024

Abstract
This study investigated the effects of solution treatment and aging processes on microstructural characteristics and mechanical properties of hypereutectic B390 Al-Si Alloy modified by phosphorus (P) and bismuth (Bi). The morphology evolution of primary Si, eutectic Si, intermetallic compounds, and secondary dendrite arm spacing (SDAS) of both initial and modified alloys were investigated in as-cast and heat-treated conditions. It was found that the combination of 0.1 wt%P and 0.5 wt%Bi in B390 alloy resulted in a remarkable modification and refinement of primary Si, eutectic Si, and SDAS compared to initial specimens in the as-cast condition. After heat treating, the fine lamellar eutectic Si and intermetallic compounds underwent a higher degree of fragmentation and coarsening, appearing as small round particles, leading to a more pronounced formation of a supersaturated solid solution. Additionally, the peak aging time of the B390-P-Bi alloy was only 7 h, 2 h less than the initial specimen. After T6 treatment and addition of both 0.1 wt%P and 0.5 wt%Bi, the B390-P-Bi alloy exhibited a smaller rounded Mg3Bi2 phase at peak aging with a 62.07% size reduction compared to the B390-Bi alloy. The results show that adding P with Bi enhanced hardness, ultimate tensile strength (UTS) and elongation because of refinement of the SDAS, primary Si and eutectic Si. These refinements played a crucial role in increasing tensile strength by more effective strengthening through precipitation and grain size reduction. The B390-P-Bi alloy is a promising choice for applications requiring a balance between strength and ductility.
The investigation on properties of Ti- 5Si and Ti- 5Nb implant alloys coated by bioactive based composite coating
Authors: Jabbar Shahad Abduladheem , Jamal Abdulkader Niveen , Ahmed Payman Sahbah 
Published: February 2024

Abstract
Titanium (Ti) alloys are widely utilized in orthopedics owing to their excellent mechanical properties and biocompatibility. To improve their resistance to corrosion and ion release properties, substrates of Ti alloy have been produced employing powder metallurgy by adding alloying elements (Si and Nb) at 5 wt% along with CP-Ti. Two torch flame sprays have been utilized for coating the Ti-5Nb and Ti-5Si alloys with two kinds of nanocoating: HAp+25%SiC (type-A) and ZSM5 + 25%ZrO2 (type-B). These nanocoating combinations represented bioactive and bioinert to combine the biological and mechanical properties of the implant surface. Different tests and characterization techniques have been carried out, including SEM, XRD, AFM, AAS, hardness, adhesion strength, and corrosion resistance. The results manifested that the coatings (types A and B) improved the properties of Ti alloys; however, ZSM5 + 25%ZrO2 has better properties than type-A in terms of less porosity, higher crystallinity%, higher hardness, higher adhesion strength, lower corrosion rate, and less Ti ions release. Comparing the results of the two Ti alloys, Ti-5Si has higher hardness, corrosion resistance, and less ionic release than the Ti-5Nb alloy. Hence, the Ti-5Si coated by ZSM5 + 25%ZrO2 (B coated Ti-5Si) is the best sample in this study.
Experimental implementation of quantum-walk-based portfolio optimization
Authors: Qu Dengke , Matwiejew Edric , Wang Kunkun , Wang Jingbo , Xue Peng 
Published: February 2024

Abstract
The application of quantum algorithms has attracted much attention as it holds the promise of solving practical problems that are intractable to classical algorithms. One such application is the recent development of a quantum-walk-based optimization algorithm approach to portfolio optimization under the modern portfolio theory framework. In this paper, we demonstrate an experimental realization of the alternating phase-shift and continuous-time quantum walk unitaries that underpin this quantum algorithm using optical networks and single photons. The experimental analysis confirms that the probability of states corresponding to high-quality solutions is efficiently amplified by increasing the number of phase-shift and quantum walk iterations. This work provides strong evidence for practical applications of quantum-walk-based algorithms such as financial portfolio optimization.
Nanocomposite materials as observed by mass-selective neutron spectroscopy
Authors: Krzystyniak Matthew , Romanelli Giovanni , Grabowska Beata , Fernandez-Alonso Felix 
Published: February 2024

Abstract
This work provides a current, critical view of the application of MAss-selective Neutron SpEctroscopy (MANSE) to nanocomposite materials. MANSE is a unique technique made possible owing to the existence of the pulsed neutron sources. At present, the only operating MANSE spectrometer in the world, VESUVIO, is located at the ISIS Neutron and Muon Source in the UK. We start by providing a brief description of the neutron Compton scattering, the anatomy of a mass-selective neutron spectrometer, and the experimental data treatment. We continue by briefly outlining the main quantum mechanical concepts, models and approximations relevant both to the ab initio prediction and experimental measurement of main MANSE observables. Next, we present several recent exemplars chosen to highlight the use of MANSE in the field of nanocomposites. Our examples include, in chronological order, encapsulated nanoparticles in amorphous silica gel, bioactive glass-ionomer cement, Cu-Ti-C composites, and sodium carboxymethyl starch-based binders in the presence of a mineral matrix. We close by providing our view of the ongoing and future challenges and opportunities in the mass-selective neutron investigation of NQEs in nanocomposite materials.
Bridging the gap between high-level quantum chemical methods and deep learning models
Authors: Prasad Viki Kumar , Otero-de-la-Roza Alberto , DiLabio Gino A 
Published: February 2024

Abstract
Supervised deep learning (DL) models are becoming ubiquitous in computational chemistry because they can efficiently learn complex input-output relationships and predict chemical properties at a cost significantly lower than methods based on quantum mechanics. The central challenge in many DL applications is the need to invest considerable computational resources in generating large (

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) training sets such that the resulting DL model can be generalized reliably to unseen systems. The lack of better alternatives has encouraged the use of low-cost and relatively inaccurate density-functional theory (DFT) methods to generate training data, leading to DL models that lack accuracy and reliability. In this article, we describe a robust and easily implemented approach based on property-specific atom-centered potentials (ACPs) that resolves this central challenge in DL model development. ACPs are one-electron potentials that are applied in combination with a computationally inexpensive but inaccurate quantum mechanical method (e.g. double-ζ DFT) and fitted against relatively few high-level data (

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), possibly obtained from the literature. The resulting ACP-corrected methods retain the low cost of the double-ζ DFT approach, while generating high-level-quality data in unseen systems for the specific property for which they were designed. With this approach, we demonstrate that ACPs can be used as an intermediate method between high-level approaches and DL model development, enabling the calculation of large and accurate DL training sets for the chemical property of interest. We demonstrate the effectiveness of the proposed approach by predicting bond dissociation enthalpies, reaction barrier heights, and reaction energies with chemical accuracy at a computational cost lower than the DFT methods routinely used for DL training data set generation.
ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns
Authors: Sørensen Christoffer V , Hofmann Nils , Rawat Puneet , Sørensen Frederik V , Ljungars Anne , Greiff Victor , Laustsen Andreas H , Jenkins Timothy P 
Published: February 2024

Abstract

Summary
High-throughput sequencing (HTS) offers a modern, fast, and explorative solution to unveil the full potential of display techniques, like antibody phage display, in molecular biology. However, a significant challenge lies in the processing and analysis of such data. Furthermore, there is a notable absence of open-access user-friendly software tools that can be utilized by scientists lacking programming expertise. Here, we present ExpoSeq as an easy-to-use tool to explore, process, and visualize HTS data from antibody discovery campaigns like an expert while only requiring a beginner’s knowledge.

Availability and implementation
The pipeline is distributed via GitHub and PyPI, and it can either be installed as a package with pip or the user can choose to clone the repository.
pycofitness—Evaluating the fitness landscape of RNA and protein sequences
Authors: Pucci Fabrizio , Zerihun Mehari B , Rooman Marianne , Schug Alexander 
Published: February 2024

Abstract

Motivation
The accurate prediction of how mutations change biophysical properties of proteins or RNA is a major goal in computational biology with tremendous impacts on protein design and genetic variant interpretation. Evolutionary approaches such as coevolution can help solving this issue.

Results
We present pycofitness, a standalone Python-based software package for the in silico mutagenesis of protein and RNA sequences. It is based on coevolution and, more specifically, on a popular inverse statistical approach, namely direct coupling analysis by pseudo-likelihood maximization. Its efficient implementation and user-friendly command line interface make it an easy-to-use tool even for researchers with no bioinformatics background. To illustrate its strengths, we present three applications in which pycofitness efficiently predicts the deleteriousness of genetic variants and the effect of mutations on protein fitness and thermodynamic stability.

Availability and implementation
https://github.com/KIT-MBS/pycofitness.
Management of a complex transjugular intrahepatic portosystemic shunt dysfunction with endotipsitis through rotational thrombectomy
Authors: Vizzutti Francesco , Casamassima Emanuele , Falcone Gianmarco , Gabbani Giacomo , Rosi Martina , Adotti Valentina , Marra Fabio , Fanelli Fabrizio 
Published: February 2024

Abstract
Transjugular intrahepatic portosystemic shunting (TIPS) is an established strategy for the management of complications of portal hypertension. Endoprosthetic infection (“endotipsitis”) is a rare but serious and difficult-to-treat complication of TIPS placement. Here we report the occurrence of an infected thrombus complicating TIPS placement in a patient with extra-hepatic portal vein obstruction, recurrent variceal bleeding and portal biliopathy accompanied by recurrent cholangitis. Infected thrombotic material within TIPS could be removed only by employing rotational thrombectomy. This procedure revealed the presence of a biliary fistula which carried pathogens in the systemic circulation. The multiple episodes of sepsis did no longer recur following exclusion of the biliary fistula. This case highlights the possibility to use rotational thrombectomy for the management of complex cases of TIPS dysfunction.