bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical treatment in KOH improves carbon nanomaterial performance to multiple neurochemicals
Authors: Hanser Samuel M. , Shao Zijun , Zhao He , Venton B. Jill
Published: December 2023

KOH treatment improves CFME and CNTYME sensitivity to five bioactive neurochemicals. The treatment etches and adds oxygen functional groups to the surface of the CFME, and it creates crevices and adds oxygen functional groups to the CNTYME.
Hydroxy-directed peptide bond formation from α-amino acid-derived inert esters enabled by boronic acid catalysis
Authors: Takahashi Naoya , Takahashi Airi , Shimada Naoyuki
Published: December 2023

We have developed a first example of a boronic acid-catalyzed peptide bond formation from α-amino acid-derived inert esters.
Synthetic manifestation of trinitro-pyrazolo-2H-1,2,3-triazoles (TNPT) as insensitive energetic materials
Authors: Balaraju Muntha , Kommu Nagarjuna , Vangara Srinivas , Sahoo Aswini K. , Thaltiri Vikranth , Sahoo Akhila K.
Published: December 2023

This study showcases the design and development of a facile method for synthesizing trinitro-pyrazolo-triazole (TNPT) and its derivatives.
Upconversion luminescence and temperature measurement performance of Ho3+/Yb3+ and Tm3+/Yb3+ codoped Na5Rb7Sc2(WO4)9 phosphors
Authors: Lipina Olga A. , Baklanova Yana V. , Spiridonova Tatyana S. , Khaikina Elena G.
Published: December 2023

New series of Ho3+/Yb3+ and Tm3+/Yb3+ codoped Na5Rb7Sc2(WO4)9 upconversion phosphors crystallizing in the trigonal system (S.G. R32) have been prepared. The studied tungstates are promising materials for non-contact temperature measurements.
Atomistically informed hierarchical modeling for revisiting the constituent structures from heredity and nano–micro mechanics of sheath-core carbon fiber
Authors: Shi Pengcheng , Yao Youqiang , Zhu Yingdan , Yu Xiaochen , Liu Dong , Yan Chun , Chen Gang
Published: December 2023

Hierarchical QM/MD/FEM/EMF modeling and simulation strategies have been employed for structural descriptors and stiffness matrices of precursor-inherited sheath-core carbon fiber layers.
Comparison of carrier doping in ZnSnO3 and ZnTiO3 from first principles
Authors: Li Jing , Su Jing , Zhang Qing , Fang Changfeng , Liu Xiaohui
Published: December 2023

Ferroelectric materials have attracted increasing attention due to their rich properties.
Detailed mechanism and kinetics of reactions of anti- and syn-CH3CHOO with HC(O)OH: infrared spectra of conformers of hydroperoxyethyl formate
Authors: Behera Bedabyas , Lee Yuan-Pern
Published: December 2023

We observed IR absorption of three conformers of HPEF from CH3CHOO + HC(O)OH. The open-form conformers P2*/P3* rapidly convert to P2, which was later dehydrated to FAA, and the intramolecularly H-bonded conformer P1 is stable.
A thermodynamic approach to analyzing relative permittivity and solvent mole fraction models, and application to SN1 reactions
Authors: Wiseman Floyd L. , Scott Dane W.
Published: December 2023

Presentation of rate data and solvent grid equation. Analysis of data using a thermodynamic equation and solvent models. Results presented and discussed for the Kirkwood–Onsager parameter and mole fraction model parameters.
Fine-tuned local coordination environment of Pt–N in nanocarbons for efficient propane dehydrogenation
Authors: Zhai Ziwei , Zhang Bofeng , Wang Yutong , Liu Guozhu
Published: December 2023

The local coordination environment of Pt–N in nanocarbons for propane dehydrogenation based on geometric and electronic effects is identified.
Exploring the stability and aromaticity of rare earth doped tin cluster MSn16− (M = Sc, Y, La)
Authors: Zeng Jin-Kun , Wang Huai-Qian , Li Hui-Fang , Zheng Hao , Zhang Jia-Ming , Mei Xun-Jie , Zhang Yong-Hang , Ding Xun-Lei
Published: December 2023

The fluxional caged magnetic induction current indicates the antiaromaticity of Sc3+ and the aromaticity of Sn164−.
Composition dependence of X-ray stability and degradation mechanisms at lead halide perovskite single crystal surfaces
Authors: García-Fernández Alberto , Kammlander Birgit , Riva Stefania , Rensmo Håkan , Cappel Ute B.
Published: December 2023

We studied the X-ray stability of five different clean perovskite single crystal surfaces (MAPbI3, MAPbBr3, MAPbCl3, FAPbBr3, CsPbBr3) via photoelectron spectroscopy and observed different degradation paths depending on the exact composition.
On the mechanical response of graphene-capped copper nanoparticles
Authors: Olguín-Orellana Gabriel J. , de la Rosa Abad Juan A. , Camarada María B. , Mejía-Rosales Sergio J. , Alzate-Morales Jans , Mariscal Marcelo M.
Published: December 2023

In this study, we investigated the mechanical behavior of pristine copper (Cu) nanoparticles (NPs) and Cu@graphene (Cu@G) hybrid NPs using molecular dynamics simulations.
Host–guest systems for the SAMPL9 blinded prediction challenge: phenothiazine as a privileged scaffold for binding to cyclodextrins
Authors: Andrade Brenda , Chen Ashley , Gilson Michael K.
Published: December 2023

This study uses isothermal titration calorimetry and NMR spectroscopy to characterize 15 phenothiazine-cyclodextrin interactions. It is found that phenothiazine drugs are privileged guests of β–cyclodextrin and its methylated derivatives.
Anomalous Hall effect in Nd-doped Bi1.1Sb0.9STe2 topological insulator single crystals
Authors: Chen Lei , Zhao Weiyao , Xing Kaijian , You Mengyun , Wang Xiaolin , Zheng Ren-Kui
Published: December 2023

Ferromagnetic dopants in a 3D topological insulator will open a gap at the surface Dirac cone, which is critical to achieve quantum anomalous Hall effect.
Importance of a nano-sized molybdenum composite synthesized using a microwave oven in the sorption enhancement of Au(iii) from the aqueous phase
Authors: Yan Chuanhao , Yu Xuefeng , Zhang Jinlong , He Jinglei , Jia Wenyi , Wang Jianlong , Liu Fuqiang , Liu Junfeng , Wang Xilong
Published: December 2023

Sorption and reduction of Au(iii) by CS-MoCOM-Th on different scales.
Magnetite precipitation approach for zinc hydrometallurgy: a microfluidic strategy
Authors: Li Jiawei , Yang Zhihui , Zhang Wenchao , Zhu Deyi , Wu Jiahui , Liu Xiaoyun , Wang Qingwei , Shi Meiqing , Yan Xu , Lin Zhang
Published: December 2023

Microfluidic technology can be used to enhance magnetite precipitation and Fe–Zn separation, as it offers the advantage of enhanced mixing and mass transfer.
Modelling of green biocatalytic (R)-(+)-limonene oxidation using the mycelium of psychrophilic Cladosporium cladosporioides 01
Authors: Kutyła Mateusz , Kozłowski Edward , Stankevič Marek , Świca Agnieszka , Trytek Mariusz
Published: December 2023

The profitability of a green biotechnological method in obtaining limonene epoxides with the use of a new biocatalyst was calculated.
Weak-coordination-auxiliary aminocatalysis enables directed [3 + 2] cyclization for 2-acylindolizines
Authors: Zeng Kui , Pandit Neeraj Kumar , Oliveira João C. A. , Dechert Sebastian , Ackermann Lutz , Zhang Kai
Published: December 2023

A weak-coordination-auxiliary amino-catalyzed approach enables directed [3 + 2] cyclization of α,β-unsaturated ketones and N-heteroaryl ketones for the desired 2-acylindolizines via an iminium ion/enamine tandem sequence.
Screening of ionic liquids for the dissolution of chitosan using COSMO-RS
Authors: Mok Shue Yee , Sivapragasam Magaret , Raja Shahrom Maisara Shahrom , Bustam @ Khalil Mohammad Azmi , Abidin Zurina Zainal
Published: December 2023

The dissolution of chitosan is a tedious and time-consuming process.
Organic transformation of lignin into mussel-inspired glues: next-generation 2K adhesive for setting corals under saltwater
Authors: Choi Ching-Yi , Lossada Francisco , Walter Keven , Fleck-Kunde Tom , Behrens Sascha , Meinelt Thomas , Falkenhagen Jana , Hiller Matthias , Oschkinat Hartmut , Dallmann André , Taden Andreas , Börner Hans G.
Published: December 2023

The generation of quinones in activated lignin allows crosslinking with multi-thiols via thiol-catechol-connectivities (TCCs), leading to a high-performance 2K adhesive that tolerates seawater and is biofriendly and useful for setting corals.
Adsorptive separation of saccharides and polyols over materials functionalized with boronate groups
Authors: Delidovich Irina , Toussaint Valérie
Published: December 2023

The Tutorial review critically considers the application of materials bearing boronate groups for separation and recovery of saccharides and polyols via affinity adsorption processes.
Environmentally-friendly preparation of natural hollow carbon spheres derived from a biomass puffball for in situ upgrading of lignin-derived vanillin
Authors: Chen Changzhou , Ji Xialin , Xiong Yongzhi , Jiang Jianchun
Published: December 2023

Biomass appears to be a potential candidate for the preparation of porous carbon materials with wide applications for catalytic fields due to its low price, green sustainability and natural hierarchical porous structure.
Preparation, characterization and application of d-gluconic acetal-based self-healing supramolecular ionogels for desulphurization of fuels
Authors: Chen Shipeng , Wang Jinping , Feng Li , Song Zebin , Wang Xiaoji , Ke Yubin , Hua Lin , Fan Yange , Li Zheng , Hou Yimin , Xue Baoyu , Liu Luke
Published: December 2023

To prevent the entry of toxic sulphur-containing contaminants into the atmosphere, extractive desulphurization of fuels with an ionic liquid (IL) as an extractor is a benign and efficient strategy, as compared with traditional hydrodesulphurization.
A new low memory effect device for Os micro-distillation
Authors: Zeng Yuling , Wang Guiqin , Qi Liang , Gao Jianfeng , Zhang Zhaofeng
Published: December 2023

A low memory effect and easy cleaning glassware for Os micro-distillation.
Metallic nanostructure-based aptasensors for robust detection of proteins
Authors: Rabiee Navid , Ahmadi Sepideh , Rahimizadeh Kamal , Chen Suxiang , Veedu Rakesh N.
Published: December 2023

There is a significant need for fast, cost-effective, and highly sensitive protein target detection, particularly in the fields of food, environmental monitoring, and healthcare.
Aryl group transfer and C–P bond formation in the reaction of organonickel complexes with sodium 3,4,5-triphenyl-1,2-diphospholide
Authors: Sakhapov I. F. , Zagidullin A. A. , Gafurov Z. N. , Khismatova D. K. , Zaripov R. B. , Kagilev A. A. , Kantyukov A. O. , Zueva E. M. , Petrova M. M. , Litvinov I. A. , Miluykov V. A. , Shmelev A. G. , Sinyashin O. G. , Yakhvarov D. G.
Published: December 2023

The reaction of [NiBr(aryl)(bpy)] organonickel complexes with sodium 1,2-diphospholide leads to unknown 1-aryl-1,2-diphospholes by aryl group transfer.
Carbon quantum dot regulated electrochemical activation of Co0.03Ni0.97LDH for energy storage
Authors: Chen Wenchao , Quan Hongying , Chen Xiangyu , Wang Hua , Chen Dezhi
Published: December 2023

The valence and coordination structure of transition metals in electrode materials play a crucial role in the electrochemical energy storage process.
Utilizing diametrically opposite thermal quenching luminescence to achieve highly sensitive temperature measurement and anti-counterfeiting
Authors: Guo Haijie , Chen Yaqi , Wang Lei , Shi Qiufeng , Cui Cai'e , Huang Ping , Qiao Jianwei
Published: December 2023

An ultra-sensitive LIR thermometer was constructed based on diametrically opposite thermal quenching luminescence.
Ti–Si composite glycol salts: depolymerization and repolymerization studies of PET
Authors: Yu Yang , Shen Guoliang , Xu Tie Jun , Wen Ruiyang , Qiao Yun Chang , Cheng Ru Chao , Huo Yue
Published: December 2023

In this study, a Ti–Si–ethylene glycol salt (Ti/Si–EG) was synthesized and used as a catalyst for the depolymerization of PET–ethylene glycol to form bis(hydroxyethyl)terephthalate (BHET), and catalysts for the resynthesis of PET by BHET.
Design, synthesis, docking, ADMET and anticancer evaluations of N-alkyl substituted iodoquinazoline derivatives as dual VEGFR-2 and EGFR inhibitors
Authors: Alsulaimany Marwa , El-Adl Khaled , Aljohani Ahmed K. B. , Alharbi Hussam Y. , Alatawi Omar M. , Aljohani Majed S. , El-morsy Ahmed , Almadani Sara A. , Alsimaree Abdulrahman A. , Salama Samir A. , Keshek Doaa E. , Mohamed Abeer A.
Published: December 2023

Fifteen new 1-alkyl-6-iodoquinazoline derivatives 5a–d to 9a–e were designed and synthesized and their anticancer activities were evaluated against HepG2, MCF-7, HCT116 and A549 cancer cell lines via dual targeting of EGFR and VEGFR-2.
SiO2assisted Cu0–Cu+–NH2composite interfaces for efficient CO2electroreduction to C2+products
Authors: Zhang Zi-Yang , Tian Hao , Jiao Han , Wang Xin , Bian Lei , Liu Yuan , Khaorapapong Nithima , Yamauchi Yusuke , Wang Zhong-Li
Published: December 2023

SiO2assisted abundant Cu0–Cu+–NH2composite interfaces enhance the adsorption and activation of CO2and H2O, strengthen the adsorption of CO intermediates, and promote C–C coupling to produce C2+products.
Synthesis of completely solvent-free biomedical waterborne polyurethane with excellent mechanical property retention and satisfactory water absorption
Authors: Zhen Ao , Zhang Guanyu , Wang Ao , Luo Feng , Li Jiehua , Tan Hong , Li Zhen
Published: December 2023

Synthesis biomedical waterborne polyurethane with high strength retention and satisfactory water absorption by a solvent free method.
Eco-friendly and high-efficiency luminescent solar concentrators enabled by green-emissive manganese halide hybrids
Authors: Xia Yanmeng , Liu Sanwan , Wu Changming , Li Junyu , Zhang Ze , Han Zeyao , Liu Jiaxin , Zou Yousheng , Liu Zonghao , Xu Xiaobao
Published: December 2023

The PLQY of (BTMA)2MnBr4 is nearing 100%. This enables the obtained film to display bright green light emission and exceptional transparency. Besides, the (BTMA)2MnBr4@PEO-based LSC realizes a PCE of 2.06% and an ηint of 45.33%.
Fabrication of a dual-fluorescent hybrid material based on post-modification of covalent organic frameworks for the detection of herbicides and the design of a smartphone sensing platform
Authors: Shen Xiaoqin , Yan Bing
Published: December 2023

Covalent organic framework (COF)-based hybrid for ratiometric detection of herbicides and its application in the smartphone sensing platform.
Language guided 3D object detection in point clouds for MEP scenes
Authors: Li Junjie , Du Shengli , Liu Jianfeng , Chen Weibiao , Tang Manfu , Zheng Lei , Wang Lianfa , Ji Chunle , Yu Xiao , Yu Wanli
Published: December 2023

In recent years, contrastive language‐image pre‐training (CLIP) has gained popularity for processing 2D data. However, the application of cross‐modal transferable learning to 3D data remains a relatively unexplored area. In addition, high‐quality, labelled point cloud data for Mechanical, Electrical, and Plumbing (MEP) scenarios are in short supply. To address this issue, the authors introduce a novel object detection system that employs 3D point clouds and 2D camera images, as well as text descriptions as input, using image‐text matching knowledge to guide dense detection models for 3D point clouds in MEP environments. Specifically, the authors put forth the proposition of a language‐guided point cloud modelling (PCM) module, which leverages the shared image weights inherent in the CLIP backbone. This is done with the aim of generating pertinent category information for the target, thereby augmenting the efficacy of 3D point cloud target detection. After sufficient experiments, the proposed point cloud detection system with the PCM module is proven to have a comparable performance with current state‐of‐the‐art networks. The approach has 5.64% and 2.9% improvement in KITTI and SUN‐RGBD, respectively. In addition, the same good detection results are obtained in their proposed MEP scene dataset.
Knowledge graph‐guided object detection with semantic distance network
Authors: Gilliard Ezekia , Liu Jinshuo , Aliyu Ahmed Abubakar
Published: December 2023

In this research study, the inadequacies of current object detection techniques are analyzed. These techniques solely recognize individual objects without considering their interrelationships. To address this issue, a novel solution called the knowledge graph‐guided semantic distance network (KGSDN) approach is proposed. By utilizing a knowledge graph, KGSDN provides semantic contextual cues, leading to enhanced object detection accuracy. The KGSDN framework seamlessly integrates the knowledge graph and object detection network and employs an attention‐based network to evaluate the semantic distance between objects. As a result, the conditional object probability of every bounding box is updated, and the joint probability of all objects in the image is determined. The empirical findings indicate that this approach significantly improves the performance of deep learning‐based object detection methods.
An integrated charging equalizing converter based on Cuk converter for solar home system
Authors: Liu Yihong , Lin Zhenmin , Xu Bin
Published: December 2023

A solar home system (SHS), containing three independent parts, namely a load voltage dc–dc converter, an energy storage device (ESD) charger, and an ESD equalizer, will become bulky and costly. Thus, based on Cuk converter, an integrated charging equalizing converter (ICEC) is proposed. The ICEC can achieve load voltage converting, battery/supercapacitor (SC) charging, and equalizing simultaneously. The idea of the ICEC is using a voltage multiplier (VM) to replace the capacitor in Cuk convertor, and then reusing the VM as a charging equalizer. When the Cuk converter is operating, the voltage ripple generated on the VM, which can be regarded as an ac voltage source, is utilized to drive the VM. Therefore, compared with the traditional methods, the charging and equalizing can be achieved without extra switches and magnetic elements. A prototype for four SCs is built to verify the feasibility of the proposed method. And the system efficiency is 87%, corresponding to the input power 5.6 W, the load output power 3.54 W, and the charging balance power 1.33 W. Moreover, a quantitative comparison shows the proposed method can reduce the system size and cost effectively.
Inoculum for the cultivation of Methylosinus trichosporium
Authors: Latypova Ulyana , Kononova Ulyana , Pushkarev Mikhail , Kozlov Grigorii , Shamtsyan Mark
Published: December 2023

In this study, the effect of the amount of introduced Methylosinus trichosporium culture inoculum on the specific growth rate was evaluated in order to improve the cultivation process. The variation of the studied factor allowed us to establish the dependence and determine the optimal dose of the inoculum for the culture in question. The prepared samples containing a nutrient medium with different inoculate content were cultured for 48 hours, during which the trend of changes in the optical density of the samples was studied. Based on the fact that the optical density is directly proportional to the concentration of microorganisms in the samples, their specific growth rate was calculated. The study showed that the culture of Methylosinus trichosporium demonstrates a stable growth rate in the range from 3 to 24 hours of cultivation, at such an inoculation dose at which the optical density of the nutrient medium with the introduced inoculum is 0.07-0.55. The data obtained provide tools for regulating the process of cultivation of Methylosinus trichosporium methanotrophs.
Regional agricultural production development management in line with digitalisation trends
Authors: Afonasova Margarita , Bogomolova Alena
Published: December 2023

The article reveals the directions to solve the problem of modernisation of agricultural production management, the use of digital technologies, and automated agrotechnical solutions to ensure food security in the country and individual regions. The object of the study is the regional agro-industrial complex, functioning and developing under the conditions of new economic and technological challenges. The purpose of the study is to form conceptual ideas about approaches to the management of agricultural production at the regional level to ensure a new quality of development of the agro-industrial sector in the conditions of global technological changes and increasing environmental uncertainty. It is concluded that the management of the agroindustrial complex of the Russian regions based on the application of digital technologies determines the nature of the functioning and development of the Russian agroindustrial complex in accordance with modern trends and challenges from the external environment.
Socio-economic digitalisation development in the Volga federal district regions of Russia
Authors: Eflova Maria , Glebova Irina , Zakirov Ayaz
Published: December 2023

Competent and effective management of the processes of digitalisation of socio-economic development of regions requires the development of system-integrated monitoring methods designed to track key spheres of social life. The assessment of the level of digital transformation of territories is the main means of this monitoring. This article proposes the author's methodology for calculating the integral index of the level of digitalisation of socio-economic development of the subjects of the Russian Federation. The object of the study is the process of digitalisation of the Volga Federal District of the Russian Federation. The proposed methodology can be applied to annual monitoring of digitalisation of Russian regions in three key areas. The findings allow us to assess the degree of progress and changes in the digitalisation of the regions over certain periods of time. This methodology can serve as an important tool for identifying achievements and shortcomings in the development of digital technologies in the socio-economic sphere.
Fuzzy linguistic forecasting of the results of the implementation of regional socio-economic projects
Authors: Lomazov Alexander , Lomazov Vadim , Akupian Olga , Dobrunova Alina , Petrosov David
Published: December 2023

The article is devoted to the problem of improving the intellectual digital support for managing the implementation of regional socio-economic projects, which are an effective mechanism for the development of regions. Given the high level of uncertainty in the description of the subject area, it is proposed to use expert technologies to assess the degree of achievement of the intermediate and target indicators of the project. L. Zadeh's linguistic modeling apparatus was used as the basis for intellectual tools for representing and processing expert judgments. A linguistic indicative-temporal-territorial model of the project has been built in the form of a set of linguistic variables and a system of fuzzy production rules linking these variables. At the same time, temporal and territorial linguistic variables reflect the time and place of measurement of project indicators, the incomplete correspondence of which determines the degree of reliability of the measured values of indicators. The use of the constructed system of indicative-temporal-territorial fuzzy production rules makes it possible to link the intermediate values of the indicators with the target values of the project indicators and thereby predict the possible outcomes of its implementation. For this, a fuzzy logic inference procedure based on the use of the Mamdani algorithm has been developed. Preliminary results of using a research prototype of an intelligent expert system for analyzing the intermediate results of the project stages and predicting its results may indicate the effectiveness of the proposed approach.
The importance of the digital economy in the development of the construction industry
Authors: Isayev Jakhongir
Published: December 2023

Digitization of industry and construction is one of the most important trends supporting the more sustainable development of enterprises. This article discusses the current state and prospects of digitization of the construction industry and the main directions of the use of technologies for increasing the resource efficiency of enterprises. This article analyzes the possibilities and prospects of digitization of the construction industry in modern economic conditions and defines the main problems and prospects of the development of digital construction.
Innovation and competitiveness: Modelling future economic growth through the national innovation system of Uzbekistan
Authors: Kurpayanidi Konstantin
Published: December 2023

The radical modernization of the economic management system, ushering in a post-industrial era driven by the accumulation and multiplication of knowledge to foster innovative capital, stands as a pivotal facet within the strategic framework for innovative development in the Republic of Uzbekistan. In the contemporary landscape, the cornerstone for steering the economy toward an innovative trajectory lies in the establishment of a robust national innovation system. Despite considerable interest and a plethora of studies delving into the theoretical and practical dimensions of the national innovation system and its individual components, a comprehensive approach elucidating the essence, structure, and guiding principles for its formation and development, particularly concerning its impact on economic growth sustainability and national competitiveness, remains conspicuously absent in domestic economic discourse. This article is dedicated to elucidating the formation and progression of the national innovation system in the Republic of Uzbekistan. It meticulously explores and delineates the root causes and consequential effects, challenges, and prospective solutions that shape the trajectory of the national innovation system. Furthermore, the article endeavors to advance a model for the national innovation system, providing a conceptual framework that encapsulates its intricacies and interconnections. In doing so, it aspires to contribute to the nascent body of knowledge surrounding the holistic understanding of the national innovation system, and its pivotal role in fostering sustained economic growth and elevating the competitive standing of the nation.
Achieving new SQL query performance levels through parallel execution in SQL Server
Authors: Nuriev Marat , Zaripova Rimma , Potapov Andrey , Kuznetsov Maxim
Published: December 2023

This article provides an in-depth look at implementing parallel SQL query processing using the Microsoft SQL Server database management system. It examines how parallelism can significantly accelerate query execution by leveraging multi-core processors and clustered environments. The article explores SQL Server's sophisticated parallel processing capabilities including automatic query parallelization, intra-query parallelism techniques like parallel joins and parallel data aggregation, as well as inter-query parallelism for concurrent query execution. It covers key considerations around effective parallelization such as managing concurrency and locks, handling data skew, resource governance, and monitoring. Challenges like debugging parallel plans and potential bottlenecks from excessive parallelism are also discussed along with mitigation strategies. Real-world examples demonstrate how judicious application of parallel processing helps optimize complex analytics workloads involving massive datasets. The insights presented provide guidance to database developers and administrators looking to enable parallel SQL query execution in SQL Server environments for substantial performance gains and scalability.
Evaluation of data quality based on Bayesian networks in railway rolling stock monitoring systems
Authors: Kamaletdinov Shokhrukh , Aripov Nazirjon , Khudayberganov Sakijan , Bashirova A.M. , Akhmedov M.D.
Published: December 2023

The purpose of the research is to evaluate the quality of data based on the Bayesian network to justify the effectiveness of the Internet of Things technology in monitoring railway rolling stock. To achieve this, performed the following tasks: presented technological schemes for monitoring railway rolling stock; built Bayesian network; created probability tables; determined conditional probabilities of control events. The existing and proposed railway rolling stock monitoring systems in the Republic of Uzbekistan are investigated. To justify the effectiveness in data quality, made an evaluation based on the Bayesian network. Conditionally selected one section with a train that serves intermediate stations. Two systems monitor this train's railcars: the Automated operational transport management system (AOTMS) and the Automatic control system for rolling stock and containers (ACSRSC). Technological operations transformed into probabilistic relations. The model defines three control events for comparison. The results showed that the quality of data of the existing monitoring system is lower than that of the proposed one. It is due to the dependence on the transfer of information among themselves to the AOTMS. In the ACSRSC system, all information, regardless of previous information, will be received individually. In addition, the level of subjective interventions for the transfer of information is also significantly reduced. The capabilities of ASMSCS are significantly superior in terms of data quality. Subsequent applications of the Internet of Things technology will help improve the quality of management decision-making in the organization of train traffic.
Development unit removal and signal transmission for information - measuring system of electrical impedance tomography of biological objects
Authors: Aleksanyan G.K. , Kucher A.I. , Gorbatenko N.I. , Nguyen M.C.
Published: December 2023

The article is devoted to the development of a unit for collecting, primary processing and transmitting measurement information for electrical impedance tomography tasks. The developed block provides the ability to connect one of the terminals of the current source to a common point, and the second terminal to any of the electrodes on the surface of the biological object under study; provides the ability to measure the amplitude of potential changes on any of the electrodes on the surface of a biological object relative to a common point. Control is carried out using a control program installed on a personal computer, connected to it via a universal USB port. It is possible to control the current source (amplitude, shape and frequency) through voltage. An experimental verification of the accuracy of generating a control signal for a current source in a given range of frequencies and amplitudes of the control signal was carried out. It has been established that the error in the amplitude of the control signal does not exceed 0.7%, and the error in the frequency of the control signal does not exceed 0.008%.
IT technologies in the digital transformation of separate branches of economy: Semiotic perspective
Authors: Danchenko Nadezhda , Litvishko Olga , Volov Murat
Published: December 2023

The article is devoted to the study of the influence of IT technologies on modern processes of digitalization of economy, which gives quite an extensive research material for various theoretical studies including economics, finance, sociology, linguistics. It is noted that not all social or communicative phenomena can be explained exclusively with the help of categories of one or another school of thought. The authors propose looking at the impact of IT technologies on economic phenomena through the lens of semiotic analysis to understand the results of implementing advanced IT technologies in such socio-economic process as digitalization. The results of the research show that semiotic analysis not only reveals the range of sign systems used in the representation of digitalization but also serves as an explanatory tool for learning specific characteristics and objective patterns of polycode texts present in digital products such as websites or mobile applications. The authors are convinced that drawing the methodological tools of semiotics to the analysis of the influence of IT technologies on the process of digitalization of retail financial services will significantly contribute to cross-disciplinary studies of such topical phenomenon as IT technologies and their successful implementation in separate branches of economy.
Analysis of directions for improvement of flight simulators
Authors: Roganov Vladimir , Dolgovesov Boris , Asmolova Ekaterina , Chetvergova Maria
Published: December 2023

The modern development of science and technology makes it possible to modernize imitators for an aviation simulator and increase the number of training situations. This allows you to improve the professional skills of pilots. The development of most imitators is the development of programs for a specialized computer. Modern integrated aviation simulators are designed to teach pilots how to fly an aircraft in special flight situations, or training situations. The increase in training situations is the main task facing the developers of aviation simulators. Improvement of imitators allows to increase the number of training situations. This is possible if the imitators are upgraded to take into account the new capabilities of available software and new hardware. The existing integrated aviation simulators are designed to train pilots in the process of controlling an aircraft. It is impossible to create a complete model of any aircraft unit. Therefore, imitators for flight simulators were developed for training pilots only in special flight conditions. Therefore, the task of developing a imitator is the use of available software and available hardware to develop information processes that inform the pilot as much as possible when solving problems of controlling the aircraft model. Studies have shown that it is expedient to develop imitators taking into account the formation of individual components of the pilot's cognitive model, in which his experience in solving problems of aircraft control and experience in solving navigation problems is deposited. The article considers the main directions for improving imitators for flight simulators, taking into account their impact on the given components of the pilot's cognitive model.
Problems of personnel training for the digital transformation of the agricultural industry
Authors: Osipchuk O.
Published: December 2023

The article is focused on the problems of providing the agrarian industry with qualified personnel. The authors emphasise the relevance of these problems in the conditions of the country’s aspiration to digital transformation of the agrarian sector. The article analyses the results of a survey of 100 respondents, representatives of the agricultural industry. According to the respondents, today in Russia there are problems that hinder the successful digital transformation of the agricultural industry. One of the most acute problems is the shortage of qualified personnel due to the outflow of able-bodied population from rural areas and the high average age of the existing working population. In the framework of this article, proposals are made to improve the professional level of existing workers through additional professional education. The authors propose a methodology for the formation of additional professional programmes based on the modular principle, which allows to carry out professional retraining of workers in the agrarian sector with the use of minimal time and resources.
Building a mathematical model for assessing the hazard of emergency situations and the formation of types of causes for rolling stock derailments
Authors: Novikov M.A. , Martynenko L.V.
Published: December 2023

The technique provides an analytical criterion for selecting the one set of numerical data most involved in an emergency out of several ones which are the relative deviations of the main factors from the critical ones in transport. The criterion is based on finding the theoretical left boundary of the interval of each set of deviations. The sets under study are reduced to normal distribution laws using a well-known method. The analysis uses basic numerical characteristics similar to those used in probability theory and mathematical statistics. The proposed method is based on finding the central theoretical moments up to the third order inclusive. Explanatory demonstration examples are provided.
Development of the fundamentals for organizing the transportation of local goods on the railways of the republic of Uzbekistan
Authors: Sattorov Samandar , Kotenko Alexey , Saidivaliev Shukhrat , Barotov Jamshid , Rustamov Nassim
Published: December 2023

Target: The article discusses the approach to variant calculations of a phased increase in line capacity, modeling of a traffic management system aimed at meeting transportation needs and finding a balance between schedules of various categories of trains in the train schedule configuration to improve the efficiency of local freight transportation. Methods: The article uses methods from the theory of operational work, development of train schedules, graph theory, methods of system and cluster analysis, mathematical statistics, economic and mathematical modeling. Results: two-level model of transport and logistics regional network; iterative algorithm for assigning reference stations; approach to calculating the optimal weight of a local train; algorithm and recommendations for drawing up daily train schedules with local cargo. Practical significance: the results will make it possible to develop rational options for the movement of trains with local cargo on schedule in conditions of increasing transit freight traffic.
Improving the quality of the driving cycle by processing statistical data of vehicle movement
Authors: Potashnikov Maksim , Muravev Alexander , Kartashov Alexander , Pikalov Nikita , Nazarenko Sergey
Published: December 2023

The article describes the process of analyzing and processing statistical data on the movement of freight transport obtained using navigation equipment installed on the vehicles in question. A detailed analysis of the source data, as well as all stages of their processing, was carried out using specialized Python tool packages such as Pandas, Numpy and Sklearn. The effectiveness of the proposed approach to data processing is shown by comparing the driving cycles of vehicles generated on the basis of the original and modified data. The topic of data analysis and processing is not new, but the relevance of the article lies in the successful application of common and effective processing methods to statistical data on the movement of vehicles, work with which is complicated by the fact that they are obtained using widespread, but focused on other tasks equipment. Thus, the work opens up new opportunities for statistical analysis of the movement of freight transport without the need to replace navigation equipment.
Digital technologies and artificial intelligence to approach creation of transport security organization systems
Authors: Ksenofontova Tatiana , Kosheleva Tatiana , Meng Yuan
Published: December 2023

The article analyses new elements used and planned to be used in security systems at railway transport facilities and proves the possibility and necessity of adapting them to all modes of transportation. Basing on the analysis, the authors propose prerequisites for creation of an integrated information transport system providing end-to-end access to information about passengers, seers-off and welcomers at all the modes of transport and throughout the country. It is also suggested that the end-to-end integrated information transport system include such elements as the unique genomic information of every passenger, welcomer or seer-off. The authors also consider feasibility of implementing a risk-oriented management system to provide automated solution of tasks of identifying, analyzing and forecasting probability of negative consequences of risky managerial solutions in the case of non-compliance or violation of safety precautions.
Digitalization as a factor of economic development of rail transport
Authors: Maltseva E. A.
Published: December 2023

The article examines the economic development of railway transport on the example of JSC “Russian Railways” as part of the implementation of “Russia’s Railway Transport Development Strategy 2030”. There are formulated the main objectives of this strategy and the main directions of its implementation with the “Digital Railway” project. The connection of the digital railway with the digital economy is revealed through the analysis of the company’s performance over the last three years of the “Digital Railway” project implementation. The vector for further development of railway transport digitalization is designated.
Conditions for distortion-free voltage transfer in the transformer
Authors: Gorsky A.N. , Plotnikov I.I.
Published: December 2023

The optimal design of low-power transformers, sonic and ultrasonic transformers, pulse transformers, differential transformers, etc. requires an in-depth study of their theory and design calculation. In this article, the influence of transformer parameters on the voltage transfer ratio is discussed, and recommendations are given for the selection of values of these parameters to reduce possible distortions. The calculation methods are illustrated by an example.
Study of the influence of fin-plate heat exchanger geometry on dust particle deposition and heat transfer based on numerical calculation
Authors: Soloveva Olga , Solovev Sergei , Golubev Yaroslav , Sabirov Niyaz
Published: December 2023

Cooling systems are actively used in computer technology to cool various electronic devices, for example, the central processor units (CPU). CPUs generate heat while operating, which slows down the processing speed of information, and overheating often causes the CPU to shut down or even crash. Cooling systems are designed to remove heat from the CPU. Often, during operation of the cooling system, its main element – the fin-plate heat exchanger becomes covered with a layer of dust, which significantly reduces the rate of heat transfer and can lead to CPU failure. In this work, we carried out numerical modeling of dust particles deposition on the surface of fin-plate heat exchangers of various geometries. We studied the influence of the fin shape (flat or corrugated), as well as the distance between the fins (from 1.75 to 7 mm) on the efficiency of particle deposition and the change in heat flow.
Digital transformation in transport infrastructure energy efficiency: Smart cities and sustainable mobility
Authors: Mentsiev Adam , Takhaev Usam , Mentsiev Apti
Published: December 2023

In the context of today's rapidly changing urban environment, digital transformation and the concept of smart cities are becoming important components for sustainable mobility and efficient transport infrastructure. This article is a research study on the trends and prospects of the digital transformation of Russia's transport complex, as well as the role of smart cities in ensuring sustainable mobility in this context. It analyzes key aspects of the integration of digital technologies into transport infrastructure, including the use of the Internet of Things and autonomous vehicles. Advantages and risks of digitalization are discussed, including issues of cybersecurity and data privacy. The paper also highlights the importance of developing joint strategies and regulatory frameworks for smart-city development and sustainable mobility. This research suggests an important assumption that modern cities can achieve outstanding results in sustainable mobility and transport infrastructure efficiency through digital integration and smart city development.
Mathematical models of MOS transistors with induced and ion-doped conditions in energy engineering
Authors: Skvortsova Tatiana , Achkasov Alexander , Minakova Olga , Kochetkov Ivan
Published: December 2023

Mathematical models of integrated circuit (IC) elements are one of the foundations in energy engineering in setting and solving IC design problems. When developing an IC, its elements and the circuit itself are created simultaneously, so the IC developer’s natural desire is to use models of elements relative to structural parameters, which makes it possible to analyze and optimize the characteristics of the IC before producing trial batches. To date, a number of Metal Oxide-Semiconductor (MOS) transistor models have been developed regarding structural parameters, but their use, as a rule, does not provide acceptable analysis accuracy and in some cases leads to unnecessary computer time consumption, which is explained by their complexity. The issue of creating mathematical models of MOS transistors and IL-channels, which have found wide application in the creation of integrated circuits, is especially acute, but simple and, at the same time, sufficiently accurate mathematical models have not been created to date. Therefore, the main goal of this chapter is to conduct a comparative analysis of existing models of MOS transistors with induced and ion-doped channels and develop models that largely eliminate the shortcomings of the existing ones. The issues of determining the electrical parameters of MIS structures are also considered and experimental results of studying the accuracy of the developed models are presented.
Optimizing safe evacuation in mines: A method for selecting compensating measures based on microclimatic safety constraints during ventilation reversal
Authors: Knyazev N.A. , Kormshchikov D.S.
Published: December 2023

The article describes a method of selecting measures that should make life safe for people during evacuation through ventilation shafts under the influence of cold air during main fan reversal. The approach is based on the allocation of dangerous sections of the evacuation route and the application of compensatory measures to ensure a comfortable stay for miners in these areas. The need to introduce a compensatory measure for each area considered is determined by the condition that the time a miner stays in this zone is greater than the time during which the microclimatic parameters of the air reach unacceptable safety levels. A principle has been proposed for introducing the least resource-intensive and financially-intensive measures based on the actual need to remove miners from the mine in a given time. The developed method and the underlying approach are applicable to mine ventilation systems of any type.
Compression parallel to grain of pinewood specimens with simulated damage by holes: Experiment and modeling
Authors: Ratkova Elena , Gavrilov Timmo , Kolesnikov Gennady
Published: December 2023

This work aims to clarify ideas about the mechanical behavior of pinewood (Pinus Sylvestris) with artificial damage in the form of holes under uniaxial compression parallel to the grain. Research methods: experimental (SHIMADZU test machine) and modeling using nonlinear equation. Comparison of the compression behavior of 15 specimens along the grain shows that the pre-peak branches of the load-displacement curve for specimens with and without holes do not differ significantly. However, at the post-peak stage, the failure of specimens without holes is smoother compared to the failure of specimens with holes. This pattern is clearer for specimens with two holes compared to specimens with one hole. In the experiments, the fracture zone of all specimens with holes passed through the hole. This pattern indicates that damage and degradation starts near the holes and due to the decrease in cross-sectional area and the effect of stress concentration near the holes. The simulation results are in agreement with experiments and data known from the literature. Nevertheless, it is advisable to continue the study taking into account the influence of wood moisture content, species and other factors.