bluuebunny/crossref_metadata_2025 huggingface dataset:
Flatfeet Severity-Level Detection Based on Alignment Measuring
Authors: Alsaidi Fatmah A. , Moria Kawthar M.
Published: October 2023

Flat foot is a postural deformity in which the plantar part of the foot is either completely or partially contacted with the ground. In recent clinical practices, X-ray radiographs have been introduced to detect flat feet because they are more affordable to many clinics than using specialized devices. This research aims to develop an automated model that detects flat foot cases and their severity levels from lateral foot X-ray images by measuring three different foot angles: the Arch Angle, Meary’s Angle, and the Calcaneal Inclination Angle. Since these angles are formed by connecting a set of points on the image, Template Matching is used to allocate a set of potential points for each angle, and then a classifier is used to select the points with the highest predicted likelihood to be the correct point. Inspired by literature, this research constructed and compared two models: a Convolutional Neural Network-based model and a Random Forest-based model. These models were trained on 8000 images and tested on 240 unseen cases. As a result, the highest overall accuracy rate was 93.13% achieved by the Random Forest model, with mean values for all foot types (normal foot, mild flat foot, and moderate flat foot) being: 93.38 precision, 92.56 recall, 96.46 specificity, 95.42 accuracy, and 92.90 F-Score. The main conclusions that were deduced from this research are: (1) Using transfer learning (VGG-16) as a feature-extractor-only, in addition to image augmentation, has greatly increased the overall accuracy rate. (2) Relying on three different foot angles shows more accurate estimations than measuring a single foot angle.
Blending Controlled-Release and Urease-Inhibitor Technologies as Innovative Solutions to Reduce Ammonia Emissions in Coffee Environments
Authors: Freitas Tainah , Oliveira Damiany Pádua , Dutra Mateus Portes , Zito Pauliana Cristina , Reis Estevam Antônio Chagas , Fernandes Tales Jesus , Nunes Ana Paula Pereira , Guimarães Rubens José , Rabêlo Flávio Henrique Silveira , Guelfi Douglas
Published: October 2023

Enhanced efficiency fertilizers, such as urea treated with a urease inhibitor, controlled-release fertilizers (CRFs), and fertilizer blends, compose important strategies for improving efficiency in nitrogen (N) use by plants and mitigating ammonia (N-NH3) emissions. The physical mixture of fertilizers in blends can favor synchronization of N-release from the fertilizers and N-uptake by coffee plants and also dilute the costs of acquiring a pure CRF, making fertilizer blends more accessible to growers. To investigate this, a field experiment was conducted over two consecutive crop years with Coffea arabica with the aim of evaluating nitrogen fertilizer technologies at application rates ranging from 0 to 450 kg N ha−1. The fertilizers were characterized, and analyses were performed to quantify N-release from the fertilizers, ammonia volatilization, and nutritional and yield aspects of the coffee plant. The fertilizers used were urea (UCon), urea treated with N-(n-butyl) thiophosphoric-triamide (UNBPT), urea-coated with polymer of the E-Max technology (with 41%N (EMax41) or 43%N (EMax43)), and blends of UNBPT with E-Max (Blend41–Blend43). The cumulative N-release for EMax41 always remained below that for EMax43, just as occurred for Blend41 in relation to Blend43. Over the two crop years, the greatest volatilization of N-NH3 occurred with UCon (~25%) and the least with EMax41 (9%). The results indicate that the technologies mitigated the N-NH3 emissions in relation to UCon [EMax41 (63% mitigation) > Blend41 (43%) > EMax43 (32%) > UNBPT (28%) > Blend43 (19%)]. Crop management affects coffee yield. The yield increase went from 20% in the first crop year to 75% in the second, with better results from fertilizers containing CRF. We present information that can assist fertilizer producers and coffee growers, and, above all, we seek to contribute to environmental action for the reduction of agricultural NH3, clarifying potential strategies for mitigation of these emissions and strategies that generate advances in research on technologies for coffee growing.
An Interactive Estimation of the Distribution Algorithm Integrated with Surrogate-Assisted Fitness
Authors: Qiao Zhanzhou , Guo Guangsong , Zhang Yong
Published: October 2023

To accurately model user preference information and ensure the symmetry or similarity between real user preference and the estimated value in product optimization design, an interactive estimation of a distribution algorithm integrated with surrogate-assisted fitness evaluation (SAF-IEDA) is proposed in this paper. Firstly, taking the evaluation information of a few individuals as training data, a similarity evaluation method between decision variables is proposed. Following that, a preference probability model is built to estimate the distribution probability of decision variables. Then, the preference utility function of individuals is defined based on the similarity of decision variables. Finally, the surrogate-assisted fitness evaluation is realized by optimizing the weight of the decision variables’ similarities. The above strategies are incorporated into the interactive estimation of the distribution algorithm framework and applied to address the optimal product design problem and the indoor lighting optimization problem. The experimental results demonstrate that the proposed method outperforms the comparative method in terms of search efficiency and fitness prediction accuracy.
Clothing Thermophysiological Comfort: A Textile Science Perspective
Authors: Islam Md Rashedul , Golovin Kevin , Dolez Patricia I.
Published: October 2023

Thermophysiological comfort is a crucial aspect of human life, contributing to health and work performance. The current paper aims to enhance the understanding of current research, progress, and remaining challenges regarding clothing thermophysiological comfort from a textile science perspective. It provides a comprehensive review of several facets of clothing thermophysiological comfort, focusing on the history of thermophysiological comfort prediction models, heat and moisture transfer mechanisms in the skin–clothing–environment system, controlling factors of thermophysiological comfort, textile materials for superior thermophysiological comfort, and thermal comfort assessment techniques. The paper shows that previously developed thermophysiological comfort models were mainly based on the human thermoregulation process. However, the effect of the air gap size between the human skin and the cloth layer, i.e., the microclimate, on the heat and moisture transfer in the skin–clothing–environment system has been largely overlooked. In addition, thermophysiological comfort models of skin–clothing–environment systems generally only considered dry thermal resistance and evaporative resistance, yet many other fabric properties have effects on human thermophysiological comfort. Potential future directions are identified to fill some of the current gaps. A conceptual model of clothing comfort to contribute to a better understanding of thermophysiological comfort is also proposed.
Dynamic Release Characteristics and Kinetics of a Persulfate Sustained-Release Material
Authors: Zhu Xueqiang , Ji Hanghang , Hua Gang , Zhou Lai
Published: October 2023

Sustained-release materials are increasingly being used in the delivery of oxidants for in situ chemical oxidation (ISCO) for groundwater remediation. Successful implementation of sustained-release materials depends on a clear understanding of the mechanism and kinetics of sustained release. In this research, a columnar sustained-release material (PS@PW) was prepared with paraffin wax and sodium persulfate (PS), and column experiments were performed to investigate the impacts of the PS@PW diameter and PS/PW mass ratio on PS release. The results demonstrated that a reduction in diameter led to an increase in both the rate and proportion of PS release, as well as a diminished lifespan of release. The release process followed the second-order kinetics, and the release rate constant was positively correlated with the PS@PW diameter. A matrix boundary diffusion model was utilized to determine the PS@PW diffusion coefficient of the PS release process, and the release lifespan of a material with a length of 500 mm and a diameter of 80 mm was predicted to be more than 280 days. In general, this research provided a better understanding of the release characteristics and kinetics of persulfate from a sustained-release system and could lead to the development of columnar PS@PW as a practical oxidant for in situ chemical oxidation of contaminated aquifers.
The Role of the Nuclear Receptor FXR in Arsenic-Induced Glucose Intolerance in Mice
Authors: Yang Yifei , Hsiao Yun-Chung , Liu Chih-Wei , Lu Kun
Published: October 2023

Inorganic arsenic in drinking water is prioritized as a top environmental contaminant by the World Health Organization, with over 230 million people potentially being exposed. Arsenic toxicity has been well documented and is associated with a plethora of human diseases, including diabetes, as established in numerous animal and epidemiological studies. Our previous study revealed that arsenic exposure leads to the inhibition of nuclear receptors, including LXR/RXR. To this end, FXR is a nuclear receptor central to glucose and lipid metabolism. However, limited studies are available for understanding arsenic exposure-FXR interactions. Herein, we report that FXR knockout mice developed more profound glucose intolerance than wild-type mice upon arsenic exposure, supporting the regulatory role of FXR in arsenic-induced glucose intolerance. We further exposed mice to arsenic and tested if GW4064, a FXR agonist, could improve glucose intolerance and dysregulation of hepatic proteins and serum metabolites. Our data showed arsenic-induced glucose intolerance was remarkably diminished by GW4064, accompanied by a significant ratio of alleviation of dysregulation in hepatic proteins (83%) and annotated serum metabolites (58%). In particular, hepatic proteins “rescued” from arsenic toxicity by GW4064 featured members of glucose and lipid utilization. For instance, the expression of PCK1, a candidate gene for diabetes and obesity that facilitates gluconeogenesis, was repressed under arsenic exposure in the liver, but revived with the GW4064 supplement. Together, our comprehensive dataset indicates FXR plays a key role and may serve as a potential therapeutic for arsenic-induced metabolic disorders.
Nonlinear SAR Modelling of Mosquito Repellents for Skin Application
Authors: Devillers James , Larghi Adeline , Sartor Valérie , Setier-Rio Marie-Laure , Lagneau Christophe , Devillers Hugo
Published: October 2023

Finding new marketable mosquito repellents is a complex and time-consuming process that can be optimized via modelling. In this context, a SAR (Structure–Activity Relationship) model was designed from a set of 2171 molecules whose actual repellent activity against Aedes aegypti was available. Information-rich descriptors were used as input neurons of a three-layer perceptron (TLP) to compute the models. The most interesting classification model was a 20/6/2 TLP showing 94% and 89% accuracy on the training set and test set, respectively. A total of 57 other artificial neural network models based on the same architecture were also computed. This allowed us to consider all chemicals both as training and test set members in order to better interpret the results obtained with the selected model. Most of the wrong predictions were explainable. The 20/6/2 TLP model was then used for predicting the potential repellent activity of new molecules. Among them, two were successfully evaluated in vivo.
Random Forest Classification and Ionospheric Response to Solar Flares: Analysis and Validation
Authors: Arnaut Filip , Kolarski Aleksandra , Srećković Vladimir A.
Published: October 2023

The process of manually checking, validating, and excluding data in an ionospheric very-low-frequency (VLF) analysis during extreme events is a labor-intensive and time-consuming task. However, this task can be automated through the utilization of machine learning (ML) classification techniques. This research paper employed the Random Forest (RF) classification algorithm to automatically classify the impact of solar flares on ionospheric VLF data and erroneous data points, such as instrumentation errors and noisy data. The data used for analysis were collected during September and October 2011, encompassing solar flare classes ranging from C2.5 to X2.1. The F1-score values obtained from the test dataset displayed values of 0.848; meanwhile, a more detailed analysis revealed that, due to the imbalanced distribution of the target class, the per-class F1-score indicated higher values for the normal data point class (0.69–0.97) compared to those of the anomalous data point class (0.31 to 0.71). Instances of successful and inadequate categorization were analyzed and presented visually. This research investigated the potential application of ML techniques in the automated identification and classification of erroneous VLF amplitude data points; however, the findings of this research hold promise for the detection of short-term ionospheric responses to, e.g., gamma ray bursts (GRBs), or in the analysis of pre-earthquake ionospheric anomalies.
Fine Structure of Solar Metric Radio Bursts: ARTEMIS-IV/JLS and NRH Observations
Authors: Alissandrakis Costas , Hillaris Alexander , Bouratzis Costas , Armatas Spyros
Published: October 2023

Radio bursts provide important diagnostics of energetic phenomena of the Sun. In particular, bursts in decimetric and metric wavelengths probe the physical conditions and the energy release processes in the low corona as well as their association with heliospheric phenomena. The advent of spectral radio data with high time and high frequency resolution has provided a wealth of information on phenomena of short duration and narrow bandwidth. Of particular value are spectral data combined with imaging observations at specific frequencies. In this work we briefly review the results of a series of observations comprised from high-sensitivity, low-noise dynamic spectra obtained with the acousto-optic analyzer (SAO) of the ARTEMIS-IV/JLS solar radiospectrograph, in conjunction with high time-resolution images from the Nançay Radioheliograph (NRH). Our studies include fine structures embedded in type-IV burst continua (mostly narrow-band “spikes” and intermediate drift “fiber” bursts) and spike-like structures detected near the front of type-II bursts. The implications of the observational results to theoretical models are discussed.
Genetic Diversity of Kazakhstani Equus caballus (Linnaeus, 1758) Horse Breeds Inferred from Microsatellite Markers
Authors: Orazymbetova Zarina , Ualiyeva Daniya , Dossybayev Kairat , Torekhanov Aibyn , Sydykov Dauren , Mussayeva Aizhan , Baktybayev Gabiden
Published: October 2023

Understanding the genetic diversity and structure of domesticated horse (Equus caballus) populations is critical for long-term herd management and breeding programs. This study examines 435 horses from Kazakhstan, covering seven groups in three geographic areas using 11 STR markers. Identified are 136 alleles, with the mean number of alleles per locus ranging from 9 to 19. VHL20 is the most variable locus across groups, while loci HTG4, AHT4, AHT5, HTG7, and HMS3 are variable in most populations. The locus AHT5 in the Emba population shows the highest frequency of rare alleles, while the lowest frequency, 0.005, is observed in the Kulandy population. All loci were highly informative for the Kazakhstani populations of E. caballus, with PIC values higher than 0.5. Pairwise variations in Wright’s FST distances show that the examined varieties have little genetic differentiation (0.05%), indicating a high degree of admixture and a continuing lineage sorting process. Phylogenetic and population structure analyses reveal three major clusters of Kazakh horses, representing (I) the Uralsk population of the Kushum breed and the monophyly of two groups: (II) the Kozhamberdy population of the Mugalzhar breed, and (III) the Mugalzhar–Kushum breed populations. Kazakhstani horse populations, while being regionally isolated, were recently in contact with each other.
Development of a Novel Magneto-Rheological Elastomer-Based Semi-Active Seat Suspension System
Authors: Wang Yimei , Vatandoost Hossein , Sedaghati Ramin
Published: October 2023

Human operators in the transportation sector are exposed to whole-body vibration (WBV) while driving. Occupational exposure to WBV, predominant at low frequencies (<20 Hz), has been linked to spinal injuries and reduced functioning. This study aims at the design development of a novel semi-active seat suspension system featuring magneto-rheological elastomers (MREs) to mitigate the WBV. The proposed suspension system allows a greater range of strokes, while ensuring the MRE remains within an acceptable level of deformation. Several MRE samples were fabricated and characterized under shear mode. Afterward, a field- and frequency-dependent phenomenological model was developed to predict the viscoelastic properties of MREs as functions of both the excitation frequency and applied magnetic field. The MRE material model was subsequently used to design and optimize an adaptive seat suspension system incorporating a C-shaped MRE-based isolator in parallel and series with passive springs. The proposed adaptive seat suspension system demonstrated a frequency shift of 29% by increasing the applied current from 0 to 2 A. Finally, a 6-DOF lumped parameter model of a seated human subject combined with the proposed semi-active suspension system featuring the MRE isolator has been formulated to investigate the vibration transmissibility from the floor to the subject’s head.
Research on SOC Estimation Method for Lithium-Ion Batteries Based on Neural Network
Authors: Zhang Chuanwei , Xu Xusheng , Li Yikun , Huang Jing , Li Chenxi , Sun Weixin
Published: October 2023

With the increasingly serious problem of environmental pollution, new energy vehicles have become a hot spot in today’s research. The lithium-ion battery has become the mainstream power battery of new energy vehicles as it has the advantages of long service life, high-rated voltage, low self-discharge rate, etc. The battery management system is the key part that ensures the efficient and safe operation of the vehicle as well as the long life of the power battery. The accurate estimation of the power battery state directly affects the whole vehicle’s performance. As a result, this paper established a lithium-ion battery charge state estimation model based on BP, PSO-BP and LSTM neural networks, which tried to combine the PSO algorithm with the LSTM algorithm. The particle swarm algorithm was utilized to obtain the optimal parameters of the model in the process of repetitive iteration so as to establish the PSO-LSTM prediction model. The superiority of the LSTM neural network model in SOC estimation was demonstrated by comparing the estimation accuracies of BP, PSO-BP and LSTM neural networks. The comparative analysis under constant flow conditions in the laboratory showed that the PSO-LSTM neural network predicts SOC more accurately than BP, PSO-BP and LSTM neural networks. The comparative analysis under DST and US06 operating conditions showed that the PSO-LSTM neural network has a greater prediction accuracy for SOC than the LSTM neural network.
The Utilisation of Small Wind Turbines in Built-Up Areas: Prospects and Challenges
Authors: Alam Firoz , Jin Yingai
Published: October 2023

Liquid fossil fuel is anticipated to run out by the mid-2060s. The destruction of land, water, and air due to fossil fuel use contributes to environmental degradation. Policymakers, scientists, and researchers are looking into power generation from renewable sources, such as wind and solar energy, because of the threat of climate change owing to global warming brought on by greenhouse gas emissions. Although there have been substantial advancements in the use of large-scale wind turbines for power generation, small-scale wind turbines, which have the potential for solo power generation, have not received wider acceptance yet due to their lower-than-expected power generation performance. This study’s main goal is to analyse the limitations of harnessing wind energy by small-scale wind turbines for power generation in built-up areas for residential and commercial uses. The study focuses on the difficulties and potential of generating electric power from small wind turbines in urban settings. The state of wind characteristics in built-up areas, economic viability, aerodynamic limitations, and governmental regulations for small-scale wind turbines are also discussed.
MODELING OF IMPACTS ON STEEL FRAMES OF BUILDINGS ON A DEFORMABLE SOIL BASE
Authors:   National Research Moscow State University of Civil Engineering, KURCHENKO N.S. , SAVIN S.YU. ,   National Research Moscow State University of Civil Engineering
Published: October 2023

The article focuses on the currently relevant problem of assessing the safety of steel frame systems on a deformable soil base under accidental impacts. The article considers a case when impact actions can be random, i.e., such parameters as application point, direction and intensity of impact are not determined preliminarily. It is supposed that for the existing design solution the occurrence of such impacts should not lead to progressive collapse, and the structure as a whole should have the property of robustness. In order to estimate this property, it is suggested to carry out a number of calculations for the stress-strain state under the most dangerous random loads and then to carry out a verification analysis in the dynamic statement. For the steel frame, a search problem is solved according to the criterion of minimization of integral safety margin of structural elements. The calculations account for the possibility to prevent the frame buckling. The quasi-static analysis is performed on the basis of the models of the deformation theory of plasticity, and the dynamic analysis is done with regard to the associated law of steel yielding. The proposed procedures allow designing steel frame structures which are resistant to random accidental loads. A shock load is represented in the form of a force impulse which is statically equivalent to the dynamic effect of an inelastic impact of a rigid body on a structural system. An example of design and performance evaluation of a steel frame structure of a two-story building is considered.
TAKING INTO ACCOUNT FLEXIBILITY WHEN CALCULATING THE STRENGTH OF CENTRALLY COMPRESSED SQUARE-SECTION TUBULAR CONCRETE COLUMNS
Authors:   Magnitogorsk State Technical University named after G.I. Nosov, KRISHAN A.L. , RIMSHIN V.I. ,   Moscow State University of Civil Engineering, ASTAFYEVA M.A. ,   Magnitogorsk State Technical University named after G.I. Nosov, STUPAK A.A. ,   Magnitogorsk State Technical University named after G.I. Nosov, ANPILOV S.M. ,   Novosibirsk State University of Architecture and Civil Engineering
Published: October 2023

The method of calculating the load-bearing capacity of centrally compressed tubular concrete columns of square section is considered. The technique is based on the use of a nonlinear deformation model of reinforced concrete. Accepted deformation diagrams of concrete core and steel pipe take into account their complex stress state. The proposed method takes into account the variable stiffness of different sections in height of the compressed rod when assessing the effect of its flexibility. The maximum load corresponding to the loss of strength or stability of the element is determined by the same method using the same formulas. As a result, there is no need for a separate formula for calculating the critical force. A comparison of theoretical and experimental data indicates the acceptability of the proposed calculation methodology for project practice.
Analysis of foreign experience in the implementation of import substitution policy and management
Authors: Goncharenko L. P. , Korsakov G. G.
Published: October 2023

The import substitution model is not new for our country, the first practices were carried out in Soviet times. Nowadays, there is a tendency to restrict export-import relations. Protective measures are being introduced that break down existing logistics chains, which increases the risks of entire industries in the Russian Federation by a multiple. Directly, the problem of import substitution has become very acute for the Russian Federation in the light of unprecedented sanctions pressure from Western countries, which has been observed since the beginning of 2022. However, many countries in one way or another faced the need to introduce import substitution policy tools. Therefore, in order to respond in a timely manner to the external challenges facing our country, it is necessary to analyze foreign experience in localization of production. This article is devoted to the consideration of import substitution practices of different countries in order to establish positive and negative mechanisms for the implementation of import substitution policy. The purpose of this study is to identify mechanisms that can ensure the effectiveness of industrial development programs.
The variety of modeling methods in the analysis of financial reporting of the borrower
Authors: Protas N. G. , Mikhailyuk I. V. , Khoroshilov M. S.
Published: October 2023

Currently, the development of the efficiency of bank lending is directly related to ensuring sustainable economic growth. A significant increase in the efficiency of the credit process is achieved through the mechanism of preliminary credit analysis – a set of control and settlement measures aimed at identifying and assessing the risks of increasing the volume of loans provided by a credit institution to borrowers. The key disadvantage of classical methods of assessing the financial condition of an enterprise is the static nature of models, which leads to a decrease in their predictive power due to the action of regional, industry, and market specifics. The article presents the results of a study of the most common modeling methods in the analysis of the borrower’s financial statements for the algorithm of their compilation and accuracy in relation to small and medium-sized businesses in the Novosibirsk region. The research methodology includes formal logical methods – analysis, synthesis, induction, as well as methods of mathematical statistics - correlation analysis, attributive distribution, classification. The object of the study is models for assessing the financial condition of the borrower. The subject of the study is assessment tools and methods for assessing the financial condition of an enterprise. The purpose of the study is to develop a universal system of indicators included in the borrower’s preliminary assessment model.
Observations of avifauna on Rēkohu / Wharekauri / Chatham Island, Chatham Islands group, in February 2023
Authors: Baling Marleen
Published: October 2023

Rēkohu / Wharekauri / Chatham Island (hereafter Rēkohu) is the largest island in the Chatham Islands group, 800 km east of the Te Wai Pounamu / South Island, Aotearoa / New Zealand. This island has an avifauna of 170 taxa. Here, we present a list of bird species encountered during an eight-day undergraduate field trip in February 2023. Based on visual encounters or via calls heard, we encountered 38 species of bird (two seabirds, eight coastal birds, six freshwater birds and 22 terrestrial birds) across 13 locations over six days. The most common species sighted were common starlings (Sturnus vulgaris vulgaris), followed by white-fronted terns (Sterna striata) and black swans (Cygnus atratus). We encountered a Chatham Island tūī (Prosthemadera novaeseelandiae chathamensis) in Nikau Bush Reserve, c.35 km north of the translocated population in Awatotara Valley. We also present the first list of bird species for Motuhinahina and a nearby limestone rock stack in Te Whanga Lagoon. Birds encountered there included Chatham Island shag (Leucocarbo onslowi), Pitt Island shag (Phalacrocorax featherstoni), Buff weka (Gallirallus australis hectori) and New Zealand little penguin (Eudyptula minor minor). We formally report the presence of feral emu (Dromaius novaehollandiae), including chicks, at Te Matarae, where there is self-sustaining population following their release to the wild years ago. In previous observations, feral chicken (Gallus gallus gallus) and turkey (Meleagris gallopavo) were ‘semi-wild’ on the basis that observations made of these species were well outside sites of human habitation. In the case of turkey, they are in the process of self-establishing. We suggest a full census is required to determine the status of these populations, particularly emu. As the emu population is self-sustaining, they should be considered as a new addition not only to the avifauna of the Chatham Islands group but to Aotearoa / New Zealand.
Deputies’ attitude to P.A. Stolypin’s agrarian reform (in terms of the State Duma from Kostroma and Yaroslavl provinces)
Authors: Bulyukin Dmitry Alexandrovich , Belov Andrey Mikhailovich
Published: October 2023

The article is devoted to the reflection of P.A. Stolypin's agrarian reform in the activities of State Duma deputies from Kostroma and Yaroslavl provinces, as well as the perception of Stolypin’s transformations by the population of those provinces. The sources are materials from metropolitan and provincial newspapers, as well as archival documents. The authors seek to identify to what extent Kostroma and Yaroslavl elected officials contributed to the implementation of the agrarian reform of the Prime Minister. The dynamics of parliamentary activity of the I–III State Dumas on the agrarian issue, legislative activity of elected officials, as well as their work in the province are studied on extensive factual material. It is important to trace the attitude of the Kostroma and Yaroslavl peasantry to the reform of P.A. Stolypin. The authors come to the conclusion that the deputies of the III State Duma, in which the Octobrists and deputies close to them were the party of power, expressed the most complete support for Stolypin's policy.
Contradiction as the basis of the narrative structure of the novel “la vraye histoire comique de Francion” (1623–1633) by Charles Sorel
Authors: Ermilova Kira E.
Published: October 2023

The article analyzes the specifics of the narrative structure of the novel “La vraye histoire comique de Francion” by Ch. Sorel (1623–1633). As a result of the comparative analysis of the three editions of the novel, we conclude that Sorel’s goal is to encourage readers to critical thinking, which in the first edition is achieved through satire on religion, state structure and traditions, in the third edition is realized through the destruction of the novel form and intellectual play with the reader at the level of narrative structure, the unity of which based on the principle of “contradiction”.
Key metaphors in the narrative structure of Vladimir Kornilov’s story “The Forest Master”. Dedicated to the 100th anniversary of the writer (1923–2023)
Authors: Fokina Madina A.
Published: October 2023

The article presents a philological analysis of metaphorical linguistic means in the novelette of Vladimir Grigor’yevich Kornilov, the significant Soviet prose writer of the 2nd half of the 20th century. The purpose of the study is to identify the structural-semantic and communicative-pragmatic properties of the key metaphors actively involved in the organisation of narration, the creation of narrative polyphony and psychologism in the depiction of characters and events, the formation of textual meanings, and the explication of the conceptual content of the work. The study of metaphors in a contextual environment is based on the genre and stylistic features and narrative characteristics of literary prose. Key metaphors with a high narrative potential serve as important means of forming a narrative structure: with their help, character and event development is carried out, the action is put forward in time and space, and the semantic dominants of the text are created. The author of the article gives a brief review of linguistic studies of metaphors in the system of language and speech, and she outlines the theoretical foundations of modern narratology. The article also singles out the main features of metaphors and looks into the key metaphors in different fragments of the text. The author of the article elicits numerous comparative constructions, built on the man vs. wildlife likening. The article also characterises phraseological metaphorical means of creating psychologism of the narrative. Creative transformations of fixed expressions carried out by replacing components within the expression, reflect the individual speech features of the characters of the story. In conclusion, the article underlines the role of the key metaphors in the formation of the narrative characteristics of the text and the structural and semantic organisation of literary prose. Semantic synergy of lexico-phraseological and syntactic figurative means creates the metaphorical field “Man and Nature” explicating the conceptual content of the work, reflecting the author’s position and forming text modality.
Transformation techniques in gastronomic terminology of Alsace (linguoculturological aspect)
Authors: Kaplina Margarita M. , Zhezlova Svetlana A.
Published: October 2023

In recent decades, modern science has paid sufficient attention to the study of gastronomic terminology and the culinary worldview of speakers of different languages and cultures. This article is devoted to the study of culinary names of the historical region of Alsace, whose cuisine as a significant cultural phenomenon allows us to trace the functional peculiarities of linguistic units and their transformations. The authors analyse the lexical units of the French language, the German language and the Alsatian dialect related to the concept of ‟food”. The accumulated empirical material makes it possible to categorise the corresponding words and phrases, as well as to describe the most common types of transformation of Alsatian culinary names under the influence of the French language and culture. These types include calquing, selection of a duplicate in the recipient language, loan-words, descriptive translation, phonetic and morphological assimilation of the notion, etc. The researchers come to the following conclusion – regional culinary names represent language material which deserves special attention for the study of the ethno-cultural component of the gastronomic discourse. Gastronomic terminology as a part of culture is undergoing constant transformation due to its dynamism and predisposition to language crossing. The overlap of cultures in the border regions creates a special linguocultural model that reflects the boundaries of interlingual interaction.
Features of the criminal legal characteristics of crimes attacking objects of intellectual property created with the use of information technologies and technologies of artificial intelligence
Authors: Titov Sergey N.
Published: October 2023

The article is devoted to the issues of criminal law protection of objects created by artificial intelligence. Currently, there is a legislative vacuum both in regulating the activities of artificial intelligence in general, and in matters of criminal liability for the use of these objects. The author highlights two aspects of the designated problem. First, a decision is needed regarding the possibility of recognising the algorithm as the author of the work it creates and, accordingly, fixing the copyright on this object. Secondly, it is required to study the features of objective and subjective signs of criminal acts in relation to such works. Considering the problem in the context of the theory of intellectual property and the social conditionality of the criminal law protection of intellectual property objects, the author comes to the conclusion that at present there are no grounds for recognising artificial intelligence systems as authors of works. However, the exclusive rights to such objects should belong to the owners of the algorithms. Accordingly, such results of the work of artificial intelligence can be recognised as the subject of crimes against intellectual property. Based on this position, the author describes the features of the criminal law characteristics of crimes against objects created by artificial intelligence, and defines these crimes as committed with direct intent on a large scale, illegal use of an intellectual property object or disclosure of the essence of an industrial property object created using information technologies and artificial intelligence technologies.
Preliminary identification of a series of finds from the excavation site on the territory of the town of the first Kostroma Kremlin
Authors: Kabatov Sergey A. , Kabatova Elena A. , Gorokhova Elena S.
Published: October 2023

In 2022, a series of finds characterising the early history of the city of Kostroma was revealed on the territory of the town of the first Kostroma Kremlin, in close proximity to the Volga River, where the groundwater level is particularly high (the so-called wet cultural layer). The excavation site identified the location of the wooden Church of the Assumption of the Blessed Virgin Mary with side chapels, which had first been mentioned in the Scribe’s Book of 1629, as well as the stockade separating the church territory with the necropolis from the Assumption Lane. The stockade, made of stakes dug in close to each other, was revealed literally two meters from the church, and immediately behind it is the wooden pavement of the pre-regular Assumption Lane. A medieval necropolis has been identified between the stockade and the church, on the church territory. Later, in 1783, a stone church of the same name was erected on the site of the wooden church. It is noteworthy that some finds also give an idea of how the funeral rites changed with the adoption of Christianity among the local population.
Victor Sosnora's poem “From the Window”: structure and content
Authors: Bolnova Ekaterina V.
Published: October 2023

The article analyses the poem “From the Windowˮ, which was not included in any of the lifetime poetry books by Victor Sosnora. The typewritten text is kept in the Central State Archive of Literature and Art of St. Petersburg and was not available to a wide range of readers or researchers of Victor Sosnora’s creative work. The importance of publishing this work is connected, in particular, with the fact that in 2018 (a year before the author’s death) Palmira Publishing house published three books of Victor Sosnora’s works under his editorship. There may be an erroneous opinion that these books have absorbed the entire legacy of the author, thereby the question of the need to prepare a complete academic collection of Victor Sosnora’s works will not be raised in a timely manner. The publication of previously unknown works contributes to solving this problem. Within the framework of the conducted research, a detailed philological analysis of the poem “From the Windowˮ was performed. The phonetic, morphological, syntactic levels, the motif-figurative system, the problematic of the text are analysed. Allusions and reminiscences significant for understanding are revealed. As a result, a hypothesis was put forward according to which Victor Sosnora’s poem, from a formal point of view not inferior to the published texts, was not included in lifetime collections, since it dissonates with the author’s autobiographical myth.
Vai-se o homem, mas fica o nome: Perfil biográfico e genealógico de Murilo Rocha Aguiar
Authors: Pereira dos Santos Carlos Augusto , Rocha Aguiar Maria Núsia
Published: October 2023

“Murilo era um homem medularmente político”. Lúcio Alcântara. “Ele era um político nato. Para ele, o sentido de ganhar uma eleição era ajudar a população”. Francisco Carneiro da Rocha (Chico Branco). “Eu tinha pouco menos de vinte anos e ele, como político, as pessoas falavam que ele ajudava os pobres, os necessitados e era conhecido de muita gente”. José da Costa Sotero. “Meus pais são da Serra da Meruoca e vieram pra cá [...]. Nessa época, o seu Murilo ainda tinha o escritório dele ao lado da Estação. Meu pai foi lá e começou a trabalhar pro seu Murilo, carregando aqueles caixão de Quinado Imperial”. Francisca das Chagas de Oliveira (Chiquinha Fumaça). Guardadas as devidas proporções e seu tempo, todos puderam fazer algo, entretanto, eu costumo dizer que Chico Aguiar, Sérgio Aguiar, Cláudia, que já foi vereadora e vice-prefeita, Stélio Júnior, que já foi vereador, Murilo Filho que já foi prefeito, todos nós Aguiar, descendentes de Murilo Aguiar, não conseguimos chegar ainda à metade da experiência, da vivacidade e da capacidade que ele tinha de poder olhar as coisas e conseguir encontrar ali as suas respostas adequadas. Sérgio de Araújo Lima Aguiar.
Iterative learning control design for a discrete-time system under delay along the sample trajectory and input backlash
Authors: Pakshin Pavel , Emelianova Julia , Emelianov Mikhail
Published: October 2023

Actuator components of gantry robots, such as reduction gears or clutches, typically have nonlinear characteristics such as dead zone, hysteresis, or backlash. Iterative learning control (ILC) is widely used to achieve the high accuracy of repetitive operations performed by such robots. These nonlinearities can severely limit the achievable accuracy. However, their impact on ILC is not well understood. This paper considers a discrete time system under a control delay along the sample trajectory and with input backlash. The method of vector Lyapunov functions for repetitive processes is applied to design an ILC law that ensures the convergence of the learning error. An example is given to demonstrate the effectiveness of the proposed ILC algorithm.
Trainable unravelling for quantum state discrimination
Authors: Tomilin V.A. , Il’ichov L.V.
Published: October 2023

We propose a way for partial compensation of maladaption of decoder to non-ideal quantum communication channel by means of optimal choice of unravelling of the decoding operation. No physical modification of the decoder itself is required. We show that it is sufficient to add an interface that modifies the decoder environment
interaction. Tuning of this interface can be done by methods of (quantum-inspired) machine learning. We suggest a search algorithm for an optimal unravelling, as an alternative for the classical gradient descent method.
الطرز الإسلامية المعمارية كمثير إبداعيّ في تصميم المدارس (بحث تطبيقي ميداني لمدارس المرحلة الأساسية في الأردن)
Authors: Arabasi Mazen , Al_Khattat Ashraf
Published: October 2023

الأهداف: تناول البحث المباني التعليمية من الناحية الوظيفية والجمالية؛ حيث تشكل الاحتكاك الأول للطالب، وبما أن الانطباعات الأولى تدوم فإن الشكل الخارجي للمدرسة هو أول ما يحتك به التلميذ وخاصة في المرحلة الأساسية ويؤثر فيه، فكان لابد للشكل أن يحمل في طياته الراحة والسرور، لتسهل عليه تقبل المناهج بنفسية عالية، وبما أن الطرز الإسلامية المعمارية المتوارثة مزدهرة بمفرداتها المعمارية الجميلة، فإن البحث يهدف إلى دمجها مع شكل المدرسة مما يحقق نوعا مميزا لأشكال المدارس في الأردن من ناحية، وإضفاء البهجة والسرور للطالب بما ينعكس إيجابا على تحصيله العلمي.
المنهجية: انتهج البحث المنهجين التاريخي الوصفي وذللك من خلال وصف العمارة الاسلامية التاريخية.
النتائج: خلص البحث إلى إثبات فرضية الدراسة، بأن استخدام عناصر العمارة الإسلامية في مباني المدارس الأساسية يحبب الطالب في المدرسة، وأن الاستعانة بالطراز الإسلامي المعماري في إنشاء المدارس وخاصة الأساسية منها يضفي على الطالب نوعا من القبول النفسي والإقبال على التعليم، إضافة إلى توعيته الثقافية بالطراز المعماري الإسلامي.
الخلاصة: أوصى الباحث في نهاية البحث بإجراء المزيد من الدراسات ذات الصلة، وأن يكون هناك حد أدنى للطراز الإسلامي في تصاميم المدارس تحدده لجنة مختصة من وزاره التربية والتعليم، وغيرها من التوصيات ذات الصلة
التّناصُّ اللُّغَوِيُّ في الصّورَةِ الْفَنِّيَّةِ بَيْنَ رِسالةِ أَبي عَبْدِ اللهِ الصَّغيرِ وَبُردَةِ الْإمامِ البوصيريِّ: دراسة في الصّور والتّراكيب
Authors: Al-Rababiah Haroon M. B.
Published: October 2023

الأهداف: يهدف البحث إلى دراسة الصّور الفنّيّة التي وردت في القصيدة الميميّة الطّويلة التي استهلَّ بها  أبو عبد الله الصغير آخر حُكّام الأندلس رسالتَه المُوجّهة إلى سلطان فاس، من خلال تحرّي مواطن التّشابه بين هذه الصّور ونظائرها من الصور الفنّيّة في قصيدة البردة في مدح النّبيّ -صلّى الله عليه وسلّم- للإمام البوصيري، في محاولةِ بيان أثرٍ جديد من آثار البردة في الأدب العربيّ، وبيان العلاقة التبادلية بين أثر الصورة في تماسك النص، وأثر السياق في إظهار الصورة، فضلًا عن استجلاء الصورة المنقولة وملاحظةِ مدى انسجامها مع سياقها اللغوي في نصّها الجديد، ومقارنتِها بالنصِّ الأصيل الذي نُقِلَتْ منه.
المنهجيّة: سلك الباحث المنهج الاستقرائيّ والمنهج المقارن التّحليليّ، وانتظم البحث في ثلاثة مباحث: الأوّل للتّعريف بالتّناصّ وبرسالة أبي عبد الله الصّغير، وتناول المبحث الثّاني تناصّ الصّورة الفنّيّة ودلالاتها عند العقيليّ (كاتب أبي عبد الله الصّغير، وناظم القصيدة) واختصّ المبحث الأخير بدراسة الأساليب والتّراكيب الّتي سلكها في تناصّه مع البردة.
النتائج: أظهرت الدّراسة أنّ رسالة أبي عبد الله الصغير اتّكأت بشكل أساسيّ على قصيدة البردة، ولا بدّ من ملاحظة هذا التأثر في سبيل الفهم الصّحيح للرسالة، وانتهت إلى أنَّ هذا العمل الأدبيّ الجديد، لم يكن متّسمًا بالإبداع والتّجديد، بل جاء متّشحًا بالجمود والتّقليد، مليئًا بالضّرورات الشّعرية.
التّوصيات: أوّلًا: إفراد قصيدة البردة بمساق مستقل يدرَّس في أقسام اللغة العربيّة؛ لأنها مكتبة لغوية متكاملة بما دار حولها من بحوث ودراسات وشروح وإعرابات وترجمات ومعارضات وأعمال أدبية متنوّعة وغيرها. ثانيًا: إعادة تحقيق رسالة أبي عبد الله الصّغير، والاهتمام بضبط ألفاظها، وبيان الغريب من معانيها.
Revisiting the Veil Ban during the COVID-19 Epidemic: The Shift in the Social Context
Authors: Ballout Shaimaa
Published: October 2023

Objectives: This study aims to re-evaluate the veil ban in a new era. For many years, the prevailing belief was that covering the face obstructed successful communication between society members, thus eliminating cohesion, provoking peace, and endangering public security. However, when masks covered faces during the Covid-19 crisis, this belief became questionable, leading societies to renegotiate face politics and other social concepts.

Methods: The study analyzed social and media contexts to discuss how societies coped with face masks, even applauding individuals for covering their faces, while laws still rejected veiled Muslim women.

Results: The preliminary results of the study indicate that social structures exhibited high flexibility and adaptation to changes imposed by Covid 19; people managed to reshape rules of social interaction.

Conclusions: Surprisingly, the epidemic improved the social experience for Muslim women wearing a veil. The study also carried a practical advantage; it offered a new perspective on Muslim women's social future in the post-Covid-19 world