bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of external subretinal fluid drainage on persistent subretinal fluid after scleral buckle surgery in macula-involving rhegmatogenous retinal detachment
Authors: Do Jae Rok , Park Dong Ho , Shin Jae Pil , Kang Yong Koo
Published: December 2023

This study aimed to analyze the duration and causes of persistent subretinal fluid (PSF) after scleral buckle (SB) surgery in patients with macula-involving rhegmatogenous retinal detachment (RRD). Sixty-one eyes of 61 patients with macula-involving RRD who underwent SB surgery between 2016 and 2022 were reviewed retrospectively. PSF was confirmed on optical coherence tomography. The PSF duration after surgery and the analysis of relevant ocular and systemic factors were conducted according to the PSF duration. The mean duration of PSF was 5.9 ± 4.6 months in all eyes and 8.1 ± 5.0 months in eyes not treated with external subretinal fluid (SRF) drainage, which was significantly longer than 4.5 ± 3.7 months in those subjected to external SRF drainage. The mean best-corrected visual acuity improved significantly 3 months after surgery. There were significant visual improvements in the external SRF drainage group compared to the non-drainage group during all follow-up periods. Longstanding shallow RRD was significantly associated with longer PSF duration after SB surgery. External SRF drainage during SB surgery can effectively reduce SRF, shorten the duration of PSF, and accelerate visual improvement.
Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes
Authors: Wang Shule , Wang Yiying , Shi Ziyi , Sun Kang , Wen Yuming , Niedzwiecki Lukasz , Pan Ruming , Xu Yongdong , Zaini Ilman Nuran , Jagodzińska Katarzyna , Aragon-Briceno Christian , Tang Chuchu , Onsree Thossaporn , Tippayawong Nakorn , Pawlak-Kruczek Halina , Jönsson Pär Göran , Yang Weihong , Jiang Jianchun , Kawi Sibudjing , Wang Chi-Hwa
Published: December 2023

Feedstock properties play a crucial role in thermal conversion processes, where understanding the influence of these properties on treatment performance is essential for optimizing both feedstock selection and the overall process. In this study, a series of van Krevelen diagrams were generated to illustrate the impact of H/C and O/C ratios of feedstock on the products obtained from six commonly used thermal conversion techniques: torrefaction, hydrothermal carbonization, hydrothermal liquefaction, hydrothermal gasification, pyrolysis, and gasification. Machine learning methods were employed, utilizing data, methods, and results from corresponding studies in this field. Furthermore, the reliability of the constructed van Krevelen diagrams was analyzed to assess their dependability. The van Krevelen diagrams developed in this work systematically provide visual representations of the relationships between feedstock and products in thermal conversion processes, thereby aiding in optimizing the selection of feedstock and the choice of thermal conversion technique.
Aquatic food loss and waste rate in the United States is half of earlier estimates
Authors: Love David C. , Asche Frank , Fry Jillian , Nguyen Ly , Gephart Jessica , Garlock Taryn M. , Jenkins Lekelia D. , Anderson James L. , Brown Mark , Viglia Silvio , Nussbaumer Elizabeth M. , Neff Roni
Published: December 2023

Food loss and waste (FLW) is a major challenge to food system sustainability, including aquatic foods. We investigated aquatic FLW in the food supply of the United States, the largest importer of aquatic food globally, using primary and secondary data and life cycle methodology. We show that there are significant differences in FLW among species, production technology, origin and stage of supply chain. We estimate total aquatic FLW was 22.7%, which is 43–55% lower than earlier estimates reported in the literature, illustrating the importance of applying a disaggregated approach. Production losses associated with imported food contribute over a quarter of total FLW, and addressing these losses requires multinational efforts to implement interventions along the supply chain. These findings inform prioritization of solutions—including areas of need for innovations, government incentives, policy change, infrastructure and equity.
High strength bio-concrete for the production of building components
Authors: Smirnova Maiia , Nething Christoph , Stolz Andreas , Gröning Janosch A. D. , Funaro Daniele P. , Eppinger Erik , Reichert Manuela , Frick Jürgen , Blandini Lucio
Published: December 2023

The production of bio-concrete is based on the process of microbially-induced calcium carbonate precipitation (MICP), in which calcium carbonate (CaCO3) is formed as a binder. Bio-concrete is a potentially CO2-neutral alternative to conventional Portland-cement-based concrete, since no process-related carbon dioxide emissions are generated during biomineralization. Furthermore, CO2 is bound in the form of carbonate. However, achieving compressive strength values comparable to conventional concrete, in combination with sufficient component depth, has been a significant challenge in the MICP research. In the present study, a combination of methods was implemented, including the use of urease-active calcium carbonate powder (UACP) instead of free bacterial cells, optimization of aggregate packing density, and the implementation of an automated stop-flow pressure injection method. A variety of cementation parameters were tested to determine the optimal conditions for the production of homogeneously cemented high strength bio-concrete. Additionally, reproducibility and optimization studies have been conducted with selected parameter combinations. It was found that achieving homogeneous compaction with sufficient aggregate packing density played a crucial role in obtaining consistent and high-quality cementation results. A combination of a very high compressive strength of 52.5 MPa and a cementation depth of 140 mm has been reached, which has not been reported in previous publications. These findings might unveil new possibilities for bio-concrete to be used in the production of prefabricated load-bearing building components, where it could partially replace traditional concrete.
Voltammetric methods for electrochemical characterization and quantification of artemether-based antimalarials
Authors: Hildebrand Anna , Merchant Mariam , O'Hare Danny
Published: December 2023

Electrochemical characterization and quantification of artemether established with cyclic voltammetry and chronocoulometry. Fitness for purpose validated for use of voltametric methods for analysis of artemether in the presence of excipients.
[Xe(OTeF5)(pyF)]+: a strong oxidizing xenonium(ii) teflate cation with N-donor bases
Authors: Toraman Ahmet N. , Fischer Lukas , Pérez-Bitrián Alberto , Wiesner Anja , Hoffmann Kurt F. , Riedel Sebastian
Published: December 2023

The strong oxidizing [Xe(OTeF5)(pyF)]+ are the first xenonium cations stabilized by the [Al(OTeF5)4]−. They are formed by abstraction of a –OTeF5 group from Xe(OTeF5)2 by the Lewis superacid Al(OTeF5)3, and adduct formation with nitrogen bases.
Synthesis of a (NiFe)9S8 nanorod array as a negative electrode for a high-performance hybrid supercapacitor
Authors: Zhou Fengming , Wang Xiaodong , Lv Zheng , Li Xiaoyu , Zhang Qi , Li Zhenjiang , Zhu Yujing , Wang Lei , Xiao Zhenyu
Published: December 2023

NFS-3 presents a specific capacitance of 3620 mF cm−2 and a significant cycling performance (83.3% retention after 7000 cycles at 20 mA cm−2).
Widening of the fundamental gap in cluster GW for metal–molecular interfaces
Authors: Marek Štěpán , Korytár Richard
Published: December 2023

While GW approximation is a promising improvement to the density functional theory electronic structure calculations, in context of cluster transport calculations, care has to be taken to ensure convergence of the electrode gap with cluster volume.
Perovskites as oxygen storage materials for chemical looping partial oxidation and reforming of methane
Authors: Li Yuelun , Chen Mingyi , Jiang Lei , Tian Dong , Li Kongzhai
Published: December 2023

Perovskite oxides are widely used as excellent oxygen carriers for chemical looping partial oxidation and reforming of methane due to their unique ability to adapt to various A- and B-site cations, dopants, and oxygen/cation defects.
Hydration deactivation mechanism of the 〈100〉 oriented cuprous oxide photocathodes in solar water splitting and the regenerated three-dimensional structure
Authors: Li Yang , Wu Jiating , Zheng Yuhe , Fan Yajing , Bian Ting , Fan Xinyu , Masendu Santana Vimbai , Xu Junhua , Shao Zongping
Published: December 2023

Water molecules are embedded in Cu2O crystals at low potential under illumination and produce amorphous CuOH, which can be dehydrated at high potential to regenerate foamed Cu2O films with a three-dimensional skeleton structure.
Effect of porosity on rapid dynamic compaction of nickel nanopowder
Authors: Rostilov Timofei , Ziborov Vadim , Dolgoborodov Alexander , Kuskov Mikhail
Published: December 2023

We demonstrate how the initial porosity affects the properties of precursor and compaction waves propagating in shocked samples of nickel nanopowder.
Sufficient driving force for quinoidal isoindigo-based diradicaloids with tunable diradical characters
Authors: Shen Li , Gao Xiaobo , Chang Zhanqing , Zhang Changhao , Li Yue , Lu Jitao , Meng Qingguo , Wu Qian
Published: December 2023

Detailed analysis focused on elucidating the driving force for evoking and enhancing the diradical character in symmetric and asymmetric quinoidal isoindigo-based diradicaloids.
Modulating edible-oleogels physical and functional characteristics by controlling their microstructure
Authors: Ramezani Mohsen , Salvia-Trujillo Laura , Martín-Belloso Olga
Published: December 2023

The impact of lecithin (L), hydrogenated lecithin (HL), water and beta-carotene (βc) on physico-chemical properties of oleogel.
An integrated microfluidic system for automatic detection of cholangiocarcinoma cells from bile
Authors: Chang Jui-Lin , Huang Chien-Jui , Tsai Yi-Cheng , Chiang Nai-Jung , Huang Yu-Shan , Hung Shang-Cheng , Shan Yan-Shen , Lee Gwo-Bin
Published: December 2023

An integrated microfluidic system to automate cholangiocarcinoma diagnosis from 1 mL bile was developed. In a single-blind test of 26 clinical samples, sensitivities and specificities of 100 and 83%, respectively, were documented.
High-temperature ternary Cu–Si–Al alloy as a core–shell microencapsulated phase change material: fabrication via dry synthesis method and its thermal stability mechanism
Authors: Aoki Masahiro , Jeem Melbert , Shimizu Yuto , Kawaguchi Takahiro , Kondo Minako , Nakamura Tomokazu , Fushimi Chihiro , Nomura Takahiro
Published: December 2023

Development of Cu–12.8Si–20Al/Al2O3 core–shell micro-encapsulated phase change materials (MEPCMs) via a dry synthesis mechanical impact technique.
The allure of targets for novel drugs
Authors: Suckling Colin J.
Published: December 2023

There's no single way to find new drugs; multiple targets for new medicines are effective and encourage innovation.
Liquid-crystalline circularly polarised TADF emitters for high-efficiency, solution-processable organic light-emitting diodes
Authors: He Binghong , Zhong Qihang , Dong Qiwei , Yang Xuefeng , Cowling Stephen J. , Qiao Wenjian , Bruce Duncan W. , Zhu Weiguo , Duan Pengfei , Wang Yafei
Published: December 2023

Liquid-crystalline materials are reported that exhibit circularly polarised, thermally activated delayed fluorescence with good solution and device emission efficiency, and high luminescence asymmetry.
Precise and rapid point-of-care quantification of albumin levels in unspiked blood using organic field-effect transistors
Authors: Mandal Ajoy , Mandal Suman , Mallik Samik , Mondal Sovanlal , Bag Subhendu Sekhar , Goswami Dipak K.
Published: December 2023

We report a new methodology for a precise OFET-based HSA sensor through diffusion-induced ingress of peptide receptors into semiconducting grain boundaries. It covers a detection range from 1 pM to 1 mM, requiring no serum extraction from the blood for point-of-care detection.
Construction of a metal–oxide interface through alloy nanoparticles to enhance CO2 electrolysis
Authors: Huang Xu , Sun Hui , He Xuewei , Ruan Yunkai , Gan Lizhen
Published: December 2023

The figure shows the basic mechanism of SOEC electrolysis of CO2 and the electrochemical performance of La0.7Sr0.3Cr0.5Mn0.5(FeCo)xO3−δ(LSCM(FeCo)x). Among them, the current density of LSCM(FeCo)0.075 at 1.6 V reaches 0.74 A cm−2.
Iodine-loaded ZIF-7-coated cotton substrates show sustained iodine release as effective antibacterial textiles
Authors: Amidi Donya Mohammadi , Akhbari Kamran
Published: December 2023

ZIF-7 was loaded onto cotton fibers using LBL and reflux methods. I2@ZIF-7@cotton samples demonstrated effective bactericidal properties, with sustained iodine release, and higher antibacterial activity against S. aureus bacteria.
Hofmeister effect-driven superlattice construction via hydrophilic/hydrophobic transition of poly(ethylene glycol) ligands
Authors: Du Yanqiu , Li Haidong , Jiang Yang , Xiao Yunchao , Guan Jipeng , Liu Xuejie , Yan Nan
Published: December 2023

A Hofmeister effect-driven strategy for the directive construction of poly(ethylene glycol)-tethered nanoparticles into 2D superlattices, 3D single crystals, and multiply twinned superlattices through controlling the dehydration degree of ligands.
High-performance artificial leaf: from electrocatalyst design to solar-to-chemical conversion
Authors: Sun Yuewen , Li Zaiqi , Sun Bin , Mao Yuyin , Huang Baibiao , Cheng Hefeng
Published: December 2023

This review discusses the recent advances in electrocatalyst design and device construction for solar-driven chemical conversion of small molecules into value-added chemicals in terms of activity, selectivity, and stability.
Photoredox/copper-catalyzed formal cyclopropanation of olefins
Authors: Li Li-Xin , Zhao Jie , Li Chen-Rui , Sun Gaolei , Guo Xu , Li Han-Wei , Qiao Baokun , Li Zhonghua , Hu Kai , Zhang Zhenqiang
Published: December 2023

With a copper catalyst, generating cyclopropane compounds. Without a copper catalyst, generating six-membered compounds.
Nascent developments in main group element-catalyzed hydrosilylation and dehydrogenative silylation of alkenes and alkynes
Authors: Vignesh Arumugam , Liu Jiahao , Wang Zhe , Liu Yan , Ke Zhuofeng
Published: December 2023

Nascent developments in the main group element-catalyzed hydrosilylation of alkenes and alkynes.
Pulsed electrolysis: enhancing primary benzylic C(sp3)–H nucleophilic fluorination
Authors: Atkins Alexander P. , Chaturvedi Atul K. , Tate Joseph A. , Lennox Alastair J. J.
Published: December 2023

Pulsed electrolysis waveforms benefit primary benzylic cation generation and fluorination.
PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences
Authors: Buttenschoen Martin , Morris Garrett M. , Deane Charlotte M.
Published: December 2023

PoseBusters assesses molecular poses using steric and energetic criteria. We find that classical protein-ligand docking tools currently still outperform deep learning-based methods.
Covalent-organic framework nanobionics for robust cytoprotection
Authors: Liang Jieying , Chen Qianfan , Yong Joel , Suyama Hiroki , Biazik Joanna , Njegic Bosiljka , Rawal Aditya , Liang Kang
Published: December 2023

We report a durable COF nanocoating on living cells, resistant to various stressors, enhancing cell survival under extreme conditions and enabling yeast fermentation, making it a dependable microorganism protection platform.
Efficient integration of carbon dioxide reduction and 5-hydroxymethylfurfural oxidation at high current density
Authors: Lin Roger , Yang Haoyan , Zheng Hanyu , Salehi Mahdi , Farzi Amirhossein , Patel Poojan , Wang Xiao , Guo Jiaxun , Liu Kefang , Gao Zhengyuan , Li Xiaojia , Seifitokaldani Ali
Published: December 2023

Combining cathodic CO2RR on Sn (green), Cu (blue), and Ag (grey) on carbon paper, or Cu (purple), and Ag (brown) on PTFE with anodic HMFOR on NiP in a flow cell at 100 mA cm−2 improves energy efficiencies while reducing the levelized cost of HCOOK production compared to the conventional OER system.
Correlating the structural transformation and properties of ZIF-67 during pyrolysis, towards electrocatalytic oxygen evolution
Authors: Frank Sara , Folkjær Mads , Nielsen Mads L. N. , Marks Melissa J. , Jeppesen Henrik S. , Ceccato Marcel , Billinge Simon J. L. , Catalano Jacopo , Lock Nina
Published: December 2023

The pyrolysis of ZIF-67 is followed in situ, and the conditions are correlated with the structural evolution and electrocatalytic performance.
High-rate and long-life flexible aqueous rechargeable zinc-ion battery enabled by hierarchical core–shell heterostructures
Authors: Xu Ziming , Zhang Wenyuan , Wang Xianzhen , Li Yuxin , Fu Jinwen , Feng Yongbao , Gong Wenbin , Guo Jiabin , Xue Pan , Li Qiulong
Published: December 2023

TiN can optimize the conductivity of MnO2, while reducing Zn2+ diffusion barrier and improve the rate performance. The lower formation energy of Zn2+ insertion endows a capacity retention of 101.6% over 2300 cycles for the TiN@MnO2 NWAs/CC.
Defect dipoles and stable dielectric properties improve Nb-doped Ba0.7Sr0.3TiO3 photocatalytic H2 evolution activity
Authors: Liu Kefan , Wang Zhaoyu , Wang Guanqi , Zhang Xinyi , He Ping , Huang Yuhui , Hong Zijian , Wang Haiwang
Published: December 2023

The roles of defect dipoles and the dielectric constant in photocatalytic hydrogen evolution are explored.
Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts
Authors: Jenewein Ken J. , Torresi Luca , Haghmoradi Navid , Kormányos Attila , Friederich Pascal , Cherevko Serhiy
Published: December 2023

This study highlighted the effectiveness of AI-driven multiobjective Bayesian optimization for electrocatalysis, accelerating the search for active and stable compositions for the acidic oxygen evolution reaction by 17x.
Metal–organic framework-based platforms for implantation applications: recent advances and challenges
Authors: Liu Yifan , Wang Shuteng , Quan Chunhua , Luan Shifang , Shi Hengchong , Wang Lei
Published: December 2023

This review highlights the recent advances of MOFs and their related hybrids in main implant intervention fields, while also discussing their confronting challenges and future perspectives.
Solution-processed copper(i) iodide via co-doping for enhanced hole selective contacts in p-type crystalline silicon solar cells
Authors: Fu Wang , Liu Wuqi , Wei Yaju , Liu Dan , Li Songyu , Zhao Di , Wu Xiaoping , Xu Lingbo , Lin Ping , Cui Can , Yu Xuegong , Wang Peng
Published: December 2023

We have demonstrated that solution-processed CuI films via Al3+ and I2 co-doping act as effective full-area hole-selective contact layers, generating a remarkable power conversion efficiency of 18.28% for Al3+–I2:CuI/p-Si heterojunction solar cells.
Engineering of CYP82Y1, a cytochrome P450 monooxygenase: a key enzyme in noscapine biosynthesis in opium poppy
Authors: Aghaali Zahra , Naghavi Mohammad Reza
Published: December 2023

Protein engineering provides a powerful base for the circumvention of challenges tied with characteristics accountable for enzyme functions. CYP82Y1 introduces a hydroxyl group (−OH) into C1 of N-methylcanadine as the substrate to yield 1-hydroxy-N-methylcanadine. This chemical process has been found to be the gateway to noscapine biosynthesis. Owning to the importance of CYP82Y1 in this biosynthetic pathway, it has been selected as a target for enzyme engineering. The insertion of tags to the N- and C-terminal of CYP82Y1 was assessed for their efficiencies for improvement of the physiological performances of CYP82Y1. Although these attempts achieved some positive results, further strategies are required to dramatically enhance the CYP82Y1 activity. Here methods that have been adopted to achieve a functionally improved CYP82Y1 will be reviewed. In addition, the possibility of recruitment of other techniques having not yet been implemented in CYP82Y1 engineering, including the substitution of the residues located in the substrate recognition site, formation of the synthetic fusion proteins, and construction of the artificial lipid-based scaffold will be discussed. Given the fact that the pace of noscapine synthesis is constrained by the CYP82Y1-catalyzing step, the methods proposed here are capable of accelerating the rate of reaction performed by CYP82Y1 through improving its properties, resulting in the enhancement of noscapine accumulation.
Production of partially prepared food and ready-cooked foods from the meat of Azov Sea clams
Authors: Bityutskaya Olga , Donchenko Ludmila , Bulli Lyubov , Mazalova Nataliya
Published: December 2023

The paper presents the results of studies of the technochemical composition and nutritional value of meat of four species of clams found in the Azov Sea:Anadara kagoshimensis(Tokunaga, 1906),Cerastoderma glaucum(Bruguière, 1789),Chamelea gallina(Linne, 1758) andDonax trunculus(Linnaeus, 1758). It is noted that almost the entire world catch, including aquaculture, is due to the use of shellfish for food and consumer demand for this group of marine invertebrates is stable, which is due to high organoleptic characteristics, nutritional value and low calorie content of their meat (250-350 kJ/100g). It was determined that the values of toxic elements in the clam meat did not exceed acceptable concentrations. A technological scheme for the production of boiled-frozen meat of burrowing mollusks has been developed, a brief description of the technological processes has been given, and the terms and conditions for storing the semi-finished product have been developed. An assortment of ready-cooked foods made from clam meat in various sauces and fillings was offered for tasting. Organoleptic evaluation of the samples revealed the preferences of the tasters, namely: the maximum scores were received by samples of chameleon in bechamel sauce (4.9±0.3) and donax stewed in wine sauce (4.8±0.3). The developed assortment can be offered for introduction into diets as a low-calorie delicacy product.
The role of the dairy sector in the sustainable development of Central Black Earth region
Authors: Krupko A.E. , Rogozina R.E. , Derevyagina M.V. , Kulakovskiy E.S.
Published: December 2023

The aim of the work is to identify the problems and peculiarities of the development of the dairy complex of the Central Black Earth Region (CDR). The specifics of the natural environment of the territory, the dynamics and heterogeneity of dairy farming development, threats to the sustainable development of municipalities and regions of the Black Earth Region require a serious study of the impact of this complex, as one of many, on the stable development of the entire region. Materials and methods. To achieve the set goal, historical, systematic, cartographic, statistical, and competitive methods of research were applied, using data from the statistical collections "Regions of Russia", "Agriculture in Russia", "Russian Statistical Yearbook", and "Agriculture, Hunting and Hunting, Forestry in Russia". The analysis of these data shows that the number of cattle and cows in the CDR, except for the Voronezh region, has been decreasing in the post-Soviet period. However, there is some growth in milk yields due to the use of the latest technologies and high-performance breeds of cattle. Results. The dairy complex of the CDR, designed to meet the needs of the population in dairy products, in modern conditions is still characterized by a variety of forms of production organization, with a predominance of medium-sized farms. In addition, the development of livestock breeding allows to a large extent to ensure the preservation of soil fertility by increasing the use of organic fertilizers and expanding the area of cultivation of fodder crops, as well as to increase employment and economic efficiency of agriculture. Based on the trends and features of improvement, it can be concluded that the dairy complex of the CDR, among others, can contribute to achieving a balanced state between the natural environment, social and economic spheres. Further growth of large-scale production in holdings and stand-alone enterprises should be combined with the development of the small-scale sector, taking into account cooperation and integration with leading milk-producing companies.
Automation of the process of building a time series model based on formalized expert knowledge
Authors: Mironov A.N. , Shestopalova O.L.
Published: December 2023

The article is devoted to the problem of automation of the process of constructing a time series model of the autoregressive type of integrated moving average - Box-Jenkins model. The process of automation is carried out on the basis of the formalized expert knowledge about the joint behavior of graphs of the dependence of the graphs of the autocorrelation and partial autocorrelation functions of a time series values on the magnitude of the delay between sections of the process under study. We used the information about heuristically established relationships between the values of the structural parameters values of the Box-Jenkins model and the peculiarities of behavior changes of the autocorrelation and partial autocorrelation functions. A feature of the proposed method of solving the problem is the use of algorithmically formalized procedures for processing expert knowledge by means of mathematical apparatus of fuzzy set theory.
Identification quality assessment of the complex object management in multicollinearity conditions
Authors: Potanina Marina , Pisariuk Svetlana
Published: December 2023

The article presents the method of assessing the quality of the complex object management (COM) identification process in multicollinearity conditions. The main problem in the process of identifying complex object management is assessing its quality. When operating COM, multicollinearity often arises, which significantly complicates the task. Nowadays, a lot of evaluation methods have been developed and studied. Despite this, when solving practical tasks related to processing data from experiments about the management object, the accuracy of the MNS becomes insufficient. As a criterion for the optimality of the regression model, it is proposed to use the amount of forecast error in a given area. A method for finding the optimal regularization parameter for offset estimation of regression equation parameters is proposed. A scientific substantiation of the principles of assessing the quality of the COM identification process in multicollinearity conditions are resolved by building its predictive model using the method of offset assessment of regression equation parameters. In this case, a method is proposed for selecting the regularization parameter r based on the minimum root-mean-square error of the forecast obtained from this model. The simulation experiments using the technique, shown that the value of the optimal regularization parameter ropt obtained is close to the experimental one. This confirms the correctness of the proposed approach. Thus, the quality of the predictive model under conditions of multicollinearity has been improved, taking into account the uncertainty of the model structure and the method of biased estimation of model parameters.
Digital tools in shaping international business strategy
Authors: Al-Hargusi Saif N.M. , Al-Zaidi Sojar Ali Kamel
Published: December 2023

This article examines the role of digital tools in shaping strategies for international business. The author focused on three key technologies that have been gaining popularity in the business environment recently, namely blockchain, Internet of Things strategy and business ecosystem. Based on theory and practical cases, the impact of new digital tools on the evolution of the strategic approach to international business was explored, providing companies with effective adaptation, competitiveness, and innovation.
Ecological and digital literacy as factors of senior citizens’ airticket purchasing development in the era of the internet of things (IoT)
Authors: Charernnit Kanittha
Published: December 2023

Ecological and digital literacy is crucial for people of all ages, including senior citizens, in various aspects of modern life, including airline reservations. Senior citizens should be familiar with the basic operation of computers, smartphones, or tablets, actively use information on airlines negative environmental impact as a factor of consumer choice. Thus, the purpose of this study is to examine senior citizen’s behavior and to improve their ecological and digital literacy in booking air ticket by using application in their smartphone. The population of this study is comprised from Thai senior citizen aged 60 and above and 40 samples are collected via purposeful sampling. The information was subsequently collected by employing a web-based survey. The following statistics were employed in this study: average, mean, frequency, standard deviation, and t-test. According to the findings, senior citizen frequently utilizes digital technology while transferring money to another account and purchasing things online. After learning how to utilize digital technology through our instructional material, seniors have dramatically boosted their digital literacy rate in booking their airline ticket online at the statistical level of.01.
Enterprise automation using artificial intelligence: Methods, technologies and prospects
Authors: Iakovlev Igor , Kremleva Elmira , Guzanov Roman
Published: December 2023

The integration of Artificial Intelligence (AI) technologies is significantly transforming the landscape of enterprise automation across various industrial sectors. This article provides a comprehensive overview of the principal methods and AI technologies implemented in the automation of enterprise processes, along with illustrative examples of AI application in diverse industries. It delves into the key areas of machine learning, robotics, logistical process optimization, and human resource management, supported by specific cases from the automotive, pharmaceutical, and telecommunications industries. The conclusion part addresses the future outlook and potential challenges associated with the continued evolution of enterprise automation through AI, including ethical and economic considerations, the need for staff training, and security issues. The article highlights the importance of an integrated approach to the adoption of AI in production processes and enterprise management as a vital factor in enhancing their efficiency and competitiveness in the global market.
Unlocking the potential of artificial intelligence for big data analytics
Authors: Zaripova Rimma , Kosulin Valery , Shkinderov Maksim , Rakhmatullin Ilgizar
Published: December 2023

This article comprehensively examines the use of artificial intelligence (AI) in big data analytics. It focuses on machine learning and deep learning methods that are leveraged to develop innovative algorithms and solutions across domains like finance, healthcare, environment, and education. The article discusses the benefits of applying AI to big data analysis such as improved efficiency and accuracy of predictions, as well as optimization of decisions. However, it also highlights downsides and challenges such as information processing and security, privacy concerns, and ethical considerations. The opportunities and technological challenges associated with processing huge volumes of data are elaborated. The need for an interdisciplinary approach and importance of proper implementation of AI across various spheres of activity is emphasized to maximize impact on societal and economic advancement. Specifically, the article delves into cutting-edge AI and machine learning techniques that enable identifying complex patterns and extracting meaningful insights from massive, heterogeneous data sources. Real-world case studies demonstrate applied AI transforming decision-making in areas like personalized medicine, predictive maintenance, demand forecasting, and more. The piece highlights best practices and cautions around data quality, algorithmic transparency, model interpretability, and ethical AI to tap the potential of big data analytics while mitigating risks like biases and breaches. It underscores the need for holistic solutions blending AI, domain expertise, and purposeful data science. Overall, the article provides a balanced perspective on modern AI amid the big data revolution. It informs technical and non-technical readers about prospering at the intersection of big data and AI – by being realistic about the challenges, following principles for responsible AI, and focusing on human-centered design.
Application of artificial intelligence to preserve the reindeer population in the arctic regions of the planet (case study of the republic of Sakha (Yakutia))
Authors: Shvetsova Svetlana
Published: December 2023

This article examines the approaches and prospects for the use of artificial intelligence to preserve the reindeer population in the Arctic regions of the planet (on the example of the Republic of Sakha (Yakutia)). Preserving the fauna of the Arctic regions based on the use of modern technologies, including artificial intelligence, is one of the promising solutions for environmental problems in the Arctic. The study examines the prospects for the use of artificial intelligence in terms of analyzing changes in reindeer migration routes. More accurate and prompt data on reindeer migration routes will contribute to improving the quality of decisions made in the field of reindeer population conservation. The results obtained may be of interest to software developers for analyzing changes in reindeer migration routes. The results of the study on the use of artificial intelligence to preserve the reindeer population can also be used in the development of environmental programs aimed at preserving the reindeer population in the Arctic regions, and in research in this area.
An overview of neural networks for medical image recognition
Authors: Berezovsky V.V. , Vygovskaya N.V.
Published: December 2023

Medical image recognition plays a crucial role in computer diagnostics and has been greatly enhanced by the advancements in deep learning techniques, particularly neural networks. This article provides a comprehensive review of the application of neural networks in medical image recognition, highlighting their advantages and disadvantages. Neural networks, inspired by the functioning of the human brain, consist of interconnected artificial neurons organized in layers. Through the learning process, neural networks can analyze and classify medical images, enabling accurate diagnosis and treatment. The article explores the fundamental components of neural networks, including neurons, weights, and activation functions, and explains the training process using algorithms like backpropagation. It also discusses various types of neural networks commonly used in image recognition tasks, such as Convolutional Neural Networks (CNN) for processing images and Recurrent Neural Networks (RNN) for analyzing sequential data. By examining research examples from different medical fields, this review demonstrates the effectiveness of neural networks in medical image recognition and their potential to revolutionize healthcare by improving diagnostic accuracy and patient outcomes.
Ecosystem approach to the development of young educators’ “future skills”
Authors: Ivanova Olga
Published: December 2023

The development of skills most in demand in the professional sphere and for achieving personal well-being in the near future is one of the urgent tasks of innovative education. This task can be solved with a framework ecosystem approach in education, relevant to the uncertainty of the future. The aim of the study: to justify an ecosystem approach in education for the development of “future skills”. Materials and research methods: Expert reports from the World Economic Forum (2020, 2023), stakeholder approach, philosophical (conceptual) analysis, framework, critical analysis. Research results: The skills most in demand for employees in the field of education were systematised according to the following clusters. Cognitive skills, Self-efficacy, Working with others, Technology skills, Engagement skills, Management skills; the essential characteristics of the framework approach in education relevant to the uncertainty of the future were revealed; the main principles of the ecosystem approach in education (holism, coeducation, flexibility, pragmatism) were formulated; the general conditions for their implementation were established as framework, well-being of actors, multi-stakeholderism of actors, network model of interaction, and networking. The ecosystem approach in education realises the anti-hierarchical interaction of multi-stakeholders, which can ensure the satisfaction of students’ demands with the synergy of education and professional development, contributing to the development of “future skills” of young teachers. Limitations of the study were identified.
Humanitarian factor in the system of sustainable development formation
Authors: Gimaletdinova Elvira , Khisamutdinov Irek
Published: December 2023

The article is focused on the analysis of the need and importance of the humanitarian-educational factor in the formation and implementation processes of the concept of sustainable development. The article draws attention to the potential advantages of this concept over other approaches proposed to address the “conflict” nature of interaction between two global systems of our time: economic and environmental. It also focusses attention on one of the most important factors of the most difficult task of practical implementation of sustainable development, the humanitarian-educational-educational factor, which forms fundamental primary bases in people, triggering the processes of greening in all major spheres of society: state-administrative, state-legal, economic-technological, spiritual and moral, etc. It is the educational factor that provides in all these spheres through the productive forces of society involved in them, first of all, people with world outlook, economic, cultural, moral, moral, aesthetic understanding of all that without which it is impossible to achieve real sustainable development. In addition, the specific ways of the mechanism of impact of the humanitarian-educational-enlightenment factor in the processes of formation of conflict-free interaction between society and nature and damage-free ecological-economic (through the proportioning of costs and benefits) sustainable development are considered. The need to reorient the education system to promote sustainable development through the formation of responsible individual behaviour is substantiated.
Residents’ awareness and knowledge of sustainable smart cities
Authors: Alakavuk Ebru , Cinar Umdu Duygu , Koyuncu Aleyna , Derya Baro Nilay
Published: December 2023

Sustainable and smart city studies are issues that local governments, business circles, and the academic community often deal with regarding city and neighborhood developments. Various grant calls and research studies on the subject are frequently made, and its importance in the professional field is increasing. However, in these studies, where the society stands is often questioned. In addition, consumers and users are critical to realizing a sustainable and energy-efficient world. These users and consumers can be defined as an urban society in cities. Awareness, knowledge, and participation of city residents about sustainable and smart cities will play a significant role in the city’s journey to be sustainable and smart. In other words, increasing society’s awareness of sustainability will change attitudes and habits and make the city’s structure more sustainable and smarter. In this study, A 28-question survey was conducted with 518 participants on the society’s perspective and knowledge of sustainable smart urban areas. It was found that the participants had general knowledge and awareness of sustainability. However, they had partial and little knowledge about sustainable urban development and smart city practices, and only 15.31% of the participants knew all the terms such as sustainable environment, sustainable society, and smart life related to these concepts. While some of the results are compatible with each other, many of them are contradictory. Different studies can be done based on these contradictions.
Effective methods of improving the quality of education in biology lessons through computer technology
Authors: Odilova Makhfuza
Published: December 2023

Improvement of school biological education is required at all levels of its organization. At the same time, the introduction of modern computer technologies into the learning process is of particular importance. One of the most natural and productive ways of introducing them into the educational system of the school is to directly link the learning process with the improvement of the content, methods and forms of teaching, orienting the entire program towards solving generally significant pedagogical problems. The article discusses the features of the use of modern computer technologies as one of the ways to increase the interest of schoolchildren in biology. The results of experimental work carried out on the basis of secondary school No 5 of the Nizhnekamsk region of the Republic of Tatarstan are presented. Based on the results of the analysis, conclusions were drawn about the effectiveness of the use of computer technologies in the educational process of the school.
Lifecycle cost evaluation of turnouts on a reinforced concrete base for especially heavy-duty track sections
Authors: Karpushchenko Nikolay , Komardinkin Roman
Published: December 2023

The purpose of this study is to evaluate the economic efficiency of turnouts on a reinforced concrete base under harsh operating conditions by providing a model of their lifecycle and costing their maintenance and repair works. The article analyses failures in turnouts of Projects 2750 and 2768 and the costs of their elimination along two operational railway lines: O-N, V-S. An analysis of the data revealed that 90 % of the costs related to turnout failures were due to speed limit warnings and a mere 10 % of the costs were due to track possessions. The cost of turnout maintenance was calculated for four options (the 1st option was O-N, 1st track; the 2nd option was O-N, 2nd track; the 3rd option was V-S, 1st track; the 4th option was V-S, 2nd track). The calculation revealed that the highest maintenance cost per turnout related to the first track of the V-S direction. The model, cost elements and lifecycle cost for turnouts of Projects 2768 and 2750 from their installation to disposal is justified. While analysing the average annual total lifecycle cost of a turnout, it was concluded that option 3 (the V-S section, 1st track) had the highest lifecycle cost due to excessive operating time and no works on the complete replacement of metal parts. The optimal life cycle length for turnouts of Projects 2768 and 2750 is in the range of 1000-1200 million tons of gross running hours with required replacement of the metal parts of turnouts upon reaching them 0.6 of standard running tonnage.
Influence of transport and logistics infrastructure of industrial enterprises on the efficiency of marshalling yards
Authors: Pserovskaya E.D. , Popova N.B. , Kagadiy I.N. , Grefenshteyn A.P.
Published: December 2023

The article considers the problems of interaction between marshalling yards and industrial enterprises under the conditions of uneven operations. The need for modelling of transport processes at marshalling yards and non-public tracks is revealed and grounded. Based on the conducted study, the authors offer recommendations to develop a simulation model for marshalling yard operations. This model being developed with the AnyLogic adaptive programming matches the structure and technological process of marshalling yards and freight point operations and provides the solution of a problem of optimizing the marshalling yard’s handling capacity. The process approach taken will reduce transportation costs emerging in the maintenance of non-public tracks and provide for the freight transportation regularity.
Choice of a logistics route for cargo delivery in modern conditions
Authors: Nikiforova G.I.
Published: December 2023

The current conditions of the global movement of goods under sanctions make it necessary to build new logistics routes along those international transport corridors that will ensure the reliability of transportation. Crisis points in any industry are at the same time a potential for development and growth, which is confirmed by the history of the development of logistics in the XX century. Basic principles of logistics and methods of quality management theory should serve as a basis for choosing the vector of transport and production development. Transit potential of the Russian Federation is unlocked by the Northern Sea Route, latitudinal corridor “East-West” and meridional corridor “North-South”. Tough policies of some countries make it necessary to redirect commodity flows along new logistic routes. The analysis of goods traffic promotion through the North-South corridor shows its serious competitive advantages in comparison with the Southern sea route in terms of transportation distance, time, and cost of delivery. The study analyzes the problems of the international transport corridor. These include technological, documentary, and infrastructural unresolved problems. The multivariant logistic route in the central part of the North-South corridor poses the problem of choosing the optimal route. The article analyzes the existing methods of route choice based on equal advantageous transportation distance and full cost for solving this task. The limitation of the listed methods leads to the search for a cost minimization function for a logistics route.
Digitalization of freight rail transportation as a factor in improving their efficiency
Authors: Chechenova Liana , Batalova Natalia
Published: December 2023

The economy is currently undergoing significant changes and fluctuations, requiring the transport industry to adapt and improve its services in a timely manner. The most relevant now is the issue of digitalization of transport services, which entails both an increase in the speed of transportation and a gradual departure from a large amount of paper workflow. These changes are taking place, in particular, in the field of railway transport, the role of which in the strategic development of the eastern range is the most important, demonstrating an increase in traffic volumes, minimization of delays in transit, as well as stability and regularity of shipments. The purpose of this article is to substantiate the feasibility of digitalizing the process of transporting goods by rail through the introduction of a specialized digital platform. The authors put forward and prove the assumption that the use of such a platform can reduce the loss of time at all stages of cargo transportation, reduce the costs associated with the transportation process, and also provide more flexible access to infrastructure. It also confirms the increase in the efficiency of interaction between all participants in the transportation process: from the carrier company to the supervisory authorities. The article proposes a regulation for processing documentation using electronic document management, which includes the use of mobile workstations; the importance of the spread of digital services to the process of intermodal transportation of goods and, as a result, the increase in the reliability of such transportation is argued. The results obtained are of an applied nature, since they propose and justify a number of measures aimed at enhancing the electronic interaction of participants in the process of cargo transportation.