bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF THE OPPORTUNITIES OF UNMANNED LETHAL VEHICLES OF THE LEADING COUNTRIES OF THE WORLD
Authors:   Odesa Military academy, Popov S.A. , Mamich V.V. ,   Odesa Military academy, Dushkin Y.G. ,   Odesa Military academy, Chkalov A.P. ,   Odesa Military academy
Published: October 2023

This work analyzes the capabilities of unmanned aerial vehicles (UAVs) of the leading countries of the world. It was noted that with the appearance of medium and small unmanned lethal vehicles, the tasks of countering them became significantly more relevant. Starting from the mid-2000s, reports began to circulate in the mass media about the danger of using small unmanned aerial vehicles in airport areas, and from the mid-2010s they began to be used to conduct unauthorized surveillance of important military objects, to conduct terrorist attacks. acts and diversions, for the transportation of prohibited goods (weapons, drugs and various contraband). In this work, it is noted that in the leading countries of the world, active scientific development of this direction of research has begun. At the same time, this problem is relatively new, because one of the first works on the use of unmanned aerial vehicles dates back to 2008. And mass scientific publications on their use refer to the years 20616-17. In the modern scientific literature of the leading countries of the world, the main directions of research in these scientific directions of research were introduced. Special terms were developed and implemented in scientific publications. At the initial stage of using UAVs (in the early 2000s), the task of analyzing their capabilities and countering them appeared. The task of countering UAVs was solved exclusively by means of defeating anti-aircraft missile systems of air defense (air defense air defense systems). Currently, military scientists have found out that the direct neutralization of a massive UAV raid by means of anti-aircraft defense systems is economically impractical, due to the unreasonably high cost of anti-aircraft defense means. This leads to the rapid consumption of the combat resource of the air defense system. In this regard, new means of countering UAVs are being widely researched, namely: the use of electronic warfare (ERW), the use of directed energy radiation — laser weapons, as well as the combined use of EW and air defense systems.
FUZZY EXPERT AIR TEMPERATURE CONTROL SYSTEM IN SHOPPING AND ENTERTAINMENT CENTER PREMISES
Authors:   National University “Odessa Maritime Academy”, Mykhaylenko V.S. , Shevchenko T.I. ,   Odessa State Academy of Civil Engineering and Architecture, Stukalov S.A. ,   Odesa I. I. Mechnikov National University, Zuy O.M. ,   Odesa I. I. Mechnikov National University, Martynovych L.Ya. ,   Odesa I. I. Mechnikov National University
Published: October 2023

Abstract The article presents the stages of developing a fuzzy expert system for the operator of a heating point of a shopping and entertainment center. The principle of operation of the air heating system of the mall is shown, implemented using computer-integrated control with a SCADA system. For the effective operation of the air temperature control system in different areas of the mall, functions for belonging to comfort zones have been developed in terms of visitors and the requirements of sanitary standards. It is indicated that typical air temperature stabilization controllers cannot always provide the desired mode due to the influence of a large number of uncontrolled disturbances on the control system. In this case, in the absence of additional blocks for adapting control algorithms, it becomes expedient to remotely control the operator using a mnemonic diagram of the ventilation process. And to improve the efficiency of the process of remote control of thermal equipment, an expert system was proposed that implements the algorithm of I. Mamdani, to control the coolant flow valves. The controller receives information from the outdoor air and air temperature sensors in the control area of the mall. After processing the signals from the sensors, the controller transmits information to a computer with an expert system. Depending on the temperature and season of the year, the program calculates the optimal position of the valve (in percentage of stroke) for the flow rate of the coolant and recommends installing it to the operator. Also, it is shown that in the process of developing a fuzzy expert system, it is recommended to choose the Gaussian type of membership functions; minimal number of terms - sets - three functions of dependency; weight coefficient of each rule in the knowledge base is the same and equal to 100; the method of defasification is the method of the center of gravity. It is indicated that the introduction of expert advice to operators can also lead to a reduction in the response time to emergency situations up to 90% increase in the reliability of the equipment as a whole.
AN IMPROVED MODEL OF OPTIMAL USE OF RESOURCES OF A CLUSTER SYSTEM OF MILITARY ASSIGNMENT BASED ON NASH EQUILIBRIUM
Authors:   Kruty Heroes Military Institute of Telecommunications and Information Technology, Fesokha V.V. , Neroznak E.I. ,   Kruty Heroes Military Institute of Telecommunications and Information Technology, Sova O.Ya. ,   Kruty Heroes Military Institute of Telecommunications and Information Technology
Published: October 2023

The article solves the actual scientific task of optimizing the use of server resources of a military cluster system in the process of processing a large number of client requests. The setting of this scientific task is due to the need to eliminate the dependence of the efficiency indicators of the existing methods of balancing the load of cluster systems on the quality of training, as well as a rather narrow approach of the analyzed scientific studies to the study of the influence of the properties of verifiability, robustness and the guarantee of optimality on the final decision-making result. A study of existing approaches to the optimal use of cluster system resources was conducted. Based on the results of the analysis, methods based on the game-theoretic scientific-methodical apparatus were selected as the most appropriate approach to the formal description of the functional interaction of servers with client requests, as well as an approach that does not require the generalization of empirical experience (learning). A model of the optimal use of resources of the military cluster system is proposed, which is based on the hybridization of the application of the game-theoretic approach and the theory of fuzzy logic. The essence of the proposed model is to determine the necessity of decomposition of the received task into subtasks, initiated by the client request, by means of the theory of fuzzy logic with the aim of further finding the optimal distribution of the use of cluster system servers based on the Nash equilibrium, taking into account the generalizing indicator of the current level of their workload. The obtained results are considered as a basis for the implementation of new adaptive systems for balancing the load of nodes of the cluster system, the application of which allows optimal use of the resources of the cluster system of military purpose in a stable balance.
Labor Market Turnover and Inequality in Latin America
Authors: Menezes-Filho Naercio Aquino , Narita Renata
Published: October 2023

This paper describes the patterns of worker turnover in selected Latin American countries and their implications for wage inequality. It documents a higher positive annual wage growth rate for job to job changers compared to stayers, due to turnover capturing the immediate gains from search behavior in the short run. Younger workers benefit relatively more from the positive effects of job to job changes, as expected. We also show that transitions are relatively higher within the informal sector for most countries, and particularly so for workers without college education. Moreover, total job separations and transitions from formal into informal employment occur more often among low-skill and young individuals. Next, the paper analyzes wage growth by percentiles for all workers and job-to-job movers for each country over a more extended period. We find that job to job changes are inequality reducing in the short run, consistent with search gains associated with turnover exhausting more rapidly for high-paid workers. In contrast, we find that human capital effects dominate the search effects in the long run, as human capital accumulates over time. Thus, long-run wage growth is lower for job changers than for stayers, so that, while in the short run the search effects tend to dominate those of human capital, in the long run the opposite occurs. As unskilled workers change jobs more frequently, this suggests that job changes are inequality increasing in the long run. A potential explanation for limited wage growth in Latin American economies may include high informality rates. Policies to reduce wage inequality should focus on improving the conditions for positive turnover towards better investment and, thus, higher-quality jobs.
Actualización de la huella de carbono de la Universidad Católica Andrés Bello Sede Montalbán para el año 2022
Authors: Padron Carmen Janeth
Published: October 2023

El impacto que las actividades humanas tienen sobre la tierra continúa aumentando a un nivel de confianza alta, dado el cambio climático, la pérdida de biodiversidad, la contaminación y la degradación de los ecosistemas. Una de las formas más utilizadas para evaluarlo, es la huella de carbono que recientemente ha sido aplicada en empresas e instituciones educativas. Esta investigación consistió en actualizar la huella de carbono de la Universidad Católica Andrés Bello, sede Montalbán, Caracas, Venezuela, para el año 2022 comparada con los datos obtenidos de la línea base del año 2019 como indicador para la toma de decisiones a la hora de poder lograr el carbono C-neutral, es decir, igual a cero, antes del año 2040. La metodología aplicada fue calcular las emisiones de gases efecto invernadero, con base en la norma ISO 14064-1:2006 y la UI GreenMetric, que sigue las pautas emitidas por World University Rankings. Los resultados obtenidos muestran que, la huella de carbono, comparada con la línea base 2019, disminuyó sus emisiones casi un 40% pasando de 911 kg CO2 eq/estudiante/año a 514 kg CO2 eq/estudiante/año para el 2022. Esto se dio gracias a las pocas actividades en el campus en virtud de la pandemia de COVID-19 y se determinó que el transporte fue la principal actividad emisora de altas concentraciones de CO2, seguido de la energía eléctrica. En líneas generales, es posible alcanzar el C-neutral en la UCAB para el año 2040, ya que se encuentra, según la UI GreenMetric World University Rankings 2022, en la posición #471 a nivel mundial y en segundo lugar dentro de las 4 universidades en Venezuela con base en función de su compromiso alcanzado con el medioambiente y la sostenibilidad: techo verde, estación climatológica, paneles fotovoltaicos, entre otros.
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
Authors:   Novosibirsk State University, Dobshik A.V. , Verbitskiy S.K. ,   Novosibirsk State University, Pestunov I.A. ,   Novosibirsk State University,   Federal Research Center for Information and Computational Technologies, Sherman K.M. ,   International Tomography Center SB RAS, Sinyavskiy Yu.N. ,   Federal Research Center for Information and Computational Technologies, Tulupov A.A. ,   International Tomography Center SB RAS, Berikov V.B. ,   Novosibirsk State University,   Sobolev Institute of Mathematics SB RAS
Published: October 2023

In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. Our deep-learning approach is based on the popular 3D U-Net convolutional neural network architecture, which was modified by adding the squeeze-and-excitation blocks and residual connections. Robust pre-processing methods were implemented to improve the segmentation accuracy. Moreover, a special patches sampling strategy was used to address the large size of medical images and class imbalance and to stabilize neural network training. All experiments were performed using five-fold cross-validation on the dataset containing non-contrast computed tomography volumetric brain scans of 81 patients diagnosed with acute ischemic stroke. Two radiology experts manually segmented images independently and then verified the labeling results for inconsistencies. The quantitative results of the proposed algorithm and obtained segmentation were measured by the Dice similarity coefficient, sensitivity, specificity and precision metrics. The suggested pipeline provides a Dice improvement of 12.0 %, sensitivity of 10.2 % and precision 10.0 % over the baseline and achieves an average Dice of 62.8 ± 3.3 %, sensitivity of 69.9 ± 3.9 %, specificity of 99.7 ± 0.2 % and precision of 61.9 ± 3.6 %, showing promising segmentation results.
Facial expression recognition based on adaptation of the classifier to videos of the user
Authors:   HSE University, Laboratory of Algorithms and Technologies for Networks Analysis, Churaev E.N. , Savchenko A.V. ,   HSE University, Laboratory of Algorithms and Technologies for Networks Analysis,   Sber AI
Published: October 2023

In this paper, an approach that can significantly increase the accuracy of facial emotion recognition by adapting the model to the emotions of a particular user (e.g., smartphone owner) is considered. At the first stage, a neural network model, which was previously trained to recognize facial expressions in static photos, is used to extract visual features of faces in each frame. Next, the face features of video frames are aggregated into a single descriptor for a short video fragment. After that a neural network classifier is trained. At the second stage, it is proposed that adaptation (fine-tuning) to this classifier should be performed using a small set of video data with the facial expressions of a particular user. After emotion classification, the user can adjust the predicted emotions to further improve the accuracy of a personal model. As part of an experimental study for the RAVDESS dataset, it has been shown that the approach with model adaptation to a specific user can significantly (up to 20 – 50 %) improve the accuracy of facial expression recognition in the video.
Computer simulation of diffractive imaging lenses using hyperspectral images
Authors:   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Kharitonov S.I. ,   Samara National Research University, Fursov V.A. ,   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS,   Samara National Research University
Published: October 2023

We offer a computer technology for modeling a process of optical imaging with a diffractive imaging lens. The central idea of the technology is to evaluate the quality of the optical system by matching the input and output images against criteria adopted in image processing. For this purpose, same-resolution hyperspectral images are fed to the input and generated at the output. Thanks to the large number of spectral components, a fairly accurate reproduction of the effects associated with the dependence of the refractive index on the wavelength is ensured. To compare input and output images in terms of PSNR (peak signal-to-noise ratio), standard three-component RGB images are "assembled" using standard matching functions over the entire optical range. Results of the study of the dependence of the PSNR indicator on the main parameters of the optical system are given: focal length, linear aperture and the number of diffraction orders taken into account.
High-order optical Hall effect at the tight focus of laser radiation
Authors:   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Kotlyar V.V. ,   Samara National Research University, Stafeev S.S. ,   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS,   Samara National Research University, Kozlova E.S. ,   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS,   Samara National Research University
Published: October 2023

In this work, by the Richards-Wolf method, which describes the behavior of electromagnetic radiation at the tight focus, it is shown that high-order spin and orbital Hall effects take place in the focal plane. It is shown that when focusing a linearly polarized optical vortex with unit topological charge, four local subwavelength regions are formed in the focal plane, in which directions of the longitudinal projection of the spin angular momentum are opposite in the neighboring regions. That is, photons falling into neighboring regions in the focus have the opposite spin. This is the spin Hall effect of the 2nd order. It is also shown that when tightly focusing of superposition of cylindrical vector beams of the m-th order and zero order, 2m subwavelength regions are formed in the plane of tight focus, in which directions of the longitudinal projection of the orbital angular momentum are opposite in the neighboring regions. That is, photons falling into the neighboring regions at the focus have the opposite-sign on-axis projections of the orbital angular momentum. This is the orbital Hall effect of the m-th order.
Gradient method for designing cascaded DOEs and its application in the problem of classifying handwritten digits
Authors:   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Soshnikov D.V. ,   Samara National Research University, Doskolovich L.L. ,   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS,   Samara National Research University, Byzov E.V. ,   IPSI RAS – Branch of the FSRC “Crystallography and Photonics” RAS,   Samara National Research University
Published: October 2023

We consider a gradient method for calculating cascaded diffractive optical elements (DOEs) consisting of several sequentially placed phase DOEs. Using the unitarity property of the operator describing the light propagation through the cascaded DOE, we obtained explicit expressions for the derivatives of the error functional with the respect to the phase functions of the cascaded DOE. We consider the application of the gradient method in the problem of focusing several different incident beams to several domains with different intensity distributions, and in the problem of image classification. The presented description of the gradient method treats the problems of designing cascaded DOEs for both focusing the laser radiation and performing image classification in the framework of a single general approach. It is shown that the difference of the problem of optical classification from the problem of generating required intensity distributions consists only in the form of error functionals, the calculation of the derivatives of which is reduced to the same general formula. Using the proposed gradient method, we designed single and cascaded DOEs for optical classification of handwritten digits. The obtained results may find application in the development of diffractive neural networks and optical systems for laser beam focusing.
ЭЛЕКТРОПРОВОДЯЩИЕ ГЕРМЕТИЗИРУЮЩИЕ КОМПОЗИЦИИ НА ОСНОВЕ ПОЛИСУЛЬФИДНЫХ ОЛИГОМЕРОВ
Authors: Мышырова Ж.К. , Тулепов М.И. , Бускетс Р.
Published: October 2023

В работе исследовались электропроводность и физико-механические свойства композитов на основе жидких тиоколов, наполненных техническим углеродом марки К-354. Целью данной работы было получение недорогого электропроводящего композита с использованием тиоколовой матрицы. Было выявлено что добавление сажи к тиоколовой матрицы приводит к существенному изменению электропроводности, так при увеличении содержания технического углерода в композиционном материале от 20 до 40 м.ч. происходило закономерное снижение удельного электрического объемного сопротивления с 1,28×104  до 2,34×10 (Ом×м). При помощи сканирующей электронной микроскопии изучены структура поверхности композитов, распределение частиц в композитной матрице. С увеличением содержания наполнителя, упаковка агрегатов в матрице становится более плотной, что способствует более тесному контакту между частицами технического углерода, за счет чего создаются условия для образования электропроводящих цепочек. Полученный композит можно использовать в качестве электропроводящего герметизирующего материала.
Cognitive and Discursive Meaning of Drama Piece title
Authors:   Astrakhan State University, Golovanyeva M.A.
Published: October 2023

In the article the author makes an attempt to broaden E. Kubryakova’s typology of the drama play titles. The term “speech equation” is suggested in the context of the cognitive and discursive approach to the analysis of the language. This term facilitates more exact and objective interpretation of cognitive and communicative processes of the play title being generated as a speech fragment, which originates from the communication pattern “author – reader/spectator” of the discourse.
Alain Robbe-Grillet: Jealousy in a labyrinth of signs and structures
Authors:   Moscow State Regional Institute for the Humanities, Vishnyakov A.G.
Published: October 2023

The article is dedicated to the analysis of the best books of a renowned French writer on the background of the birth of the last vivid literary trend in the French literature of the XXth century – the New Novel, one of the outstanding representatives of which was A. RobbeGrillet. This article comprises historical and literary commentary and, where necessary, short analysis of the most significant features of the writer’s style.
SEMANTICS AND PRAGMATICS OF MODERN MEDIA FROM THE PERSPECTIVE OF MANIPULATIVE EFFECT ON GENERATION Z
Authors: Cherkasova Marina N. , Taktarova Anna V.
Published: October 2023

Pragmalinguistic analysis of media texts with a destructive component (violence, suicide, revenge, reprisals) is presented. A feature of the media content under study is: 1) the presence of a digital communicator – a digital platform (blog, messenger, social network, video, etc.) for broadcasting and replicating the communication process by the participants themselves (representatives of generation Z); 2) the place and role of a digital communicator in the implementation of a given destructive behavioral model. The transformation of axiosphere was revealed: there were axiological shifts in the conceptual field "LIFE-DEATH". Due to it we were able to identify the potential activity of the destructive vector of the homo digitalis behavioral model. The "axiologeme" is interpreted by us as a speech signal of hidden influence. In the text it acts as a lexical unit with code evaluation, which forms positive, neutral or negative associations: death (negative in psychological and emotional terms; neutral (logical conclusion of the life way) from the point of view of Christian morality in objective reality, neutral in virtual reality, as it is possible to reboot and positive (receiving bonuses: likes, discussions, comments). The development of influence plans ("positive-approving, neutral-indifferent or negativedisapproving") for the described events allowed us to identify the author's assessment of the media text with a destructive component. Positive-approving plan – 36.4%, negative-disapproving - 46.1%, and neutral-indifferent – 18.5%. These data reflect the prospects for the preservation/non-preservation of the axiosphere of Russian linguaculture.
DERIVATIONAL MECHANISMS FOR MODELING OCCASIONAL VOCABULARY IN THE RUSSIANLANGUAGE MEDIA SPACE (ON THE EXAMPLE OF THE PREFIX DE-)
Authors: Chudinov Anatoliy P. , Segal Natalya А. , Mishchenko Anna N.
Published: October 2023

This study is devoted to the study of the implementation features of derivational mechanisms for modeling occasional vocabulary in the Russian-language media space. On the example of language units, which include the prepositive component de-, the semantic and grammatical features of occasional units implemented in the current media space are established. The material for the study was the texts of electronic newspapers, magazines, news agencies for the period from 2020 to the present, as well as forums, chats, blogs, political illustrations related to research topics. As a result of the study, a wide range of language units with a prepositive component de- was established, expanding their meaning in the texts of modern media. Thematic groups are identified and described, thematic groups organized by language units with the prepositive component de- are established, their contextual meaning and semantic-pragmatic features of implementation in the current media space are determined.
Assessment of the investment attractiveness of the cloud technologies industry
Authors: Semikolenova Svitlana , Korchagin Dmytro
Published: October 2023

The cloud technology industry is one of the fundamentally important industries today, occupying an important place in the context of digital transformation due to the colossal increase in information. The process of digital transformation began not so long ago, but it has already become obvious that cloud computing has become a key factor in the rapid implementation of innovations in local and international markets. Increasing competition in the digital field forces international and local enterprises to take unprecedented steps to collect and analyze large amounts of data that users leave in the Internet space. This is what drives cloud providers to make huge capital investments in hardware and human capital.The purpose of the study is to analyze the current state of the cloud technology industry for making an investment decision. The article reveals the economic potential of the cloud technology industry, providing highlighted the key benefits of cloud computing that are accelerating the adoption rate of the technology and identified the major key players that make up the majority of the market. According to the results of the study, it was found that the most attractive country for investments in the field of cloud technologies is the USA, which, according to the criterion of the volume of investments in the industry, occupies a leading position, having a wide list of cloud service providers. Among the analyzed companies, in the context of the search for the optimal enterprise for investment, it was determined that Microsoft Corporation has the highest profitability ratios among existing enterprises in the industry, and financial risks are at a moderate level. During the implementation of the discounted cash flow model, it was found that the company’s shares have a stable growth potential. Based on the results of the study, it is proposed to combine two approaches to the analysis of existing alternative technologies for storing and processing large databases, identifying the nature of key financial risks and their negative impact on determining the final fair value of a share.

JEL classіfіcatіon: G11, G24
The profitability analysis of fintech microlending: advanced Whale curve tools applying
Authors: Kaminskyi Andrii , Petrovskyi Oleksii
Published: October 2023

Fintech is actively expanding its activities in various directions in the modern financial system. One of these directions is the development of consumer lending, which forms an important competitive factor for banks and other traditional lenders. Lending models implemented by fintech companies have a number of fundamental differences from classic ones. The article is devoted to the study of the fintech microcredit model and the profitability analysis of this model based on the advanced Whale curve toolkit adapted to lending.In the article, the microcredit model is structured into three blocks, which include income generation, credit risk management systems, and borrower lead generation. Income generation is considered within the PDL (payday lending) approach. The methodological components of the application of the Whale curve toolkit for lending are justified. The first component outlines a holistic visualization of the relationship between risk and profitability of the credit portfolio of microcredit. The second component is the use of two approaches to the application of the Whale curve toolkit. The first approach is based on the choice of the basis of analysis of income from borrowers, and the second – on the choice of the basis of analysis of income from loans issued. The third component of the methodology was the segmentation of the loan portfolio into 4 segments: A, B, C, and D. It was done for both approaches. Segment A is characterized by the generation of high profitability for the creditor, segment B is close to a neutral level of profitability, and segments C and D are defined by a negative financial result of different levels.The analysis, based on the developed methodology, made it possible to identify a number of regularities between risk and profitability both in terms of segments A, B, C, and D and in terms of repeated loans. The analysis was conducted on the basis of data from several Ukrainian fintech companies for the 2nd and 3rd quarters of 2021.Within the methodological components, the analysis of income sensitivity based on the scenario approach was used in the work. A number of scenarios regarding changes in credit characteristics and risk management parameters were formed. On this basis, the sensitivity of income to these changes was modeled, and a comparative analysis of the results was carried out.The methodology proposed in the article makes it possible to implement an optimization analysis of fintech microcredit, to determine the relationship between credit risk and profitability, and to choose the optimal strategy for increasing the profitability of lending.

JEL classіfіcatіon: G23, L25
Customers Adaptation of E-banking services; extending TAM through Anthpmorphism in Saudi Arabia
Authors: Alqutub Kholoud
Published: October 2023

This study aims to investigate influence of perceived anthropomorphism, perceived ease of use, perceived usefulness, privacy concerns, as well as attitude on intention to adopt AI banking services. The research follows a positivistic and deductive reasoning approach, utilizing experimental techniques in a cross-sectional design. Data of 210 responses collected through a questionnaire distributed via Google Docs were analyzed using Smart PLS3. The results indicate that intention to adopt AI banking services is influenced by perceived anthropomorphism, perceived ease of use, perceived usefulness, and privacy concerns through attitude. Strong correlations among all variables were observed, highlighting the significant and positive impact of artificial intelligence on encouraging acceptance of advanced technology in banking sector in Kingdom of Saudi Arabia. Future research is recommended to test various other variables using the same research model in different countries. Practical implications include the need for senior managers and policymakers in financial institutions to formulate relevant policies and marketing strategies aligned with customer needs. This research study's primary objective is to prospect and examine factors impelling consumer adoption intentions of artificial intelligence in banking sector in Kingdom of Saudi Arabia.
The history of the creation and development of the Blood Service in the healthcare system of the Komi ASSR in the 1930–1980-s
Authors: Petrovskiy M. , Popov A.
Published: October 2023

For the first time in the Komi regional historiography, the monograph analyzes the history of the creation and development of a key branch of the healthcare system – the blood service in the Komi Repablic in the 1930–1980-s. The periodization of this process is substantiated, its regional specificity is revealed.
The publication is addressed to specialists-historians, teachers and students of specialized educational institutions, to all those interested in the history of the Russian North. The publication is dedicated to the 85th anniversary of the creation of the main center of the service – the Republican Blood Transfusion Station.
Jorge Oviedo Albán. Falta de conformidad, mitigación y subsanación en la compraventa internacional
Authors: Canales Gutiérrez Silvana
Published: October 2023

este artículo reseña: Jorge Oviedo Albán. Falta de conformidad, mitigación y subsanación en la compraventa internacional. Segunda edición. Grupo editorial Ibáñez, Bogotá, 2022, 254 pp. ISBN: 978-958-791-637-9
Desigualdad laboral en la vida académica en Chile. Aportes desde la perspectiva de género
Authors: Aparicio Molina Carolina , Garrido Rivera Andrea , Oviedo Muñoz Gabriela , Basulto Gallegos Óscar , Fuente-Alba Cariola Fernando
Published: October 2023

En consideración de las brechas de género que existen en la academia univer sitaria, la investigación plantea un estudio exploratorio-descriptivo, de carácter cuantitativo con el objetivo de analizar la paridad de género en las funciones académicas de universidades públicas, no estatales del sur de Chile. Para ello se analizan las plantas académicas de tres universidades. Los resultados muestran una composición universitaria que perpetúa la desigualdad de género en el estamento académico, identificando la reproducción de modelos androcéntricos. A su vez, para las trayectorias académicas, se observa una leve tendencia a equiparar la presencia de mujeres y hombres en las categorías iniciales, pero que se desvanece en las superiores. Por su parte, la segregación horizontal evidenciada dio cuenta que, en los cargos directivos los hombres tienden a ser mayoría, además se evidencian territorios especialmente masculinizados. En términos proyectivos y evidenciando la desigualdad en la que se encontrarían las mujeres académicas, especialmente en áreas ligadas a la investigación y puestos directivos, se hace necesario pasar del proceso comprensivo-reflexivo a una acción transformadora al interior de las instituciones universitarias, que genere cambios que se instalenformalmente en los distintos ámbitos de desarrollo del quehacer de las universidades.
New species, variety, record and combination of Memecylon (Melastomataceae) from Thailand
Authors:   BirdLife International, 354, Tanglin Road, #01-15/16, Singapore 247672., Wijedasa Lahiru S.
Published: October 2023

In preparation for the Flora of Thailand account for part of the Melastomataceae (former Memecylaceae), three new species, one new variety, one newly recorded species for Thailand in the genus Memecylon are presented. The new taxa are: M. aurantifolium, M. khimao, M. bailek, and M. corticosum var. parvifolium.
Mathematical models of errors of determination of a ground-based SINS orientation angles and latitude of its position
Authors: Bondarenko Evgen
Published: October 2023

In the paper, a computational algorithm for determination of orientation angles   and latitude of position of a strapdown inertial navigation system (SINS) which is mounted on a ground-based transport object is presented. It is assumed that the object is motionless with respect to the Earth’s surface.  In the paper, mathematical models of errors of determination of the named angles are also presented. These errors, in their turn, are caused by null shifts and scale factor errors of the SINS sensitive elements – for example, laser gyros and linear accelerometers.
Sustainability in Project Management: PM² versus PRiSMTM
Authors: Marques Patrícia , Sousa Paulo Ferreira , Tereso Anabela Pereira
Published: October 2023

This paper makes a theoretical contribution by exploring the integration of sustainability principles into project management. It compares two recent methodologies, PM² and PRiSMTM, and provides a practical contribution by advocating for the adoption of these sustainability-driven practices among practitioners. Sustainability remains relatively unknown in the realm of project management, and this research aims to bridge that gap. The study follows an interpretivist philosophy and employs a combination of interviews and archival data analysis. PM², created by the European Commission, provides a project management methodology free to organizations and includes best practices from other bodies of knowledge. However, it doesn't include sustainability, because it aims to be generic. PRiSMTM, based on the P5™, aims to make the project management process more sustainable. PRiSMTM has P5 Impact Analysis and Sustainability Management Plan as the main differentiating deliverables and is an extension of the Triple Bottom Line, also including product and process. The PM² Alliance CEO believes that PM² aims to be generic, so a focus on sustainability would remove the methodology's "elasticity". However, users wishing to use PM² and consider sustainability can include it in the additional objectives and use PRiSMTM differentiating deliverables.
Hydrology as a Determinant of Riparian Habitat Structure in Lowland River Floodplains
Authors: Burandt Paweł , Grzybowski Mirosław , Glińska-Lewczuk Katarzyna , Gotkiewicz Wojciech , Szymańska-Walkiewicz Monika , Obolewski Krystian
Published: October 2023

The objective of the study was to determine the relationship between the structure of phytocenoses in riparian wetland ecosystems and the hydrologic regime in a lowland river floodplain. The hydrobotanical study was conducted over three years 2017, 2018, and 2019, which differed in hydrological conditions (wet, average, and dry) in a middle section of the Supraśl floodplain (NE Poland) as a case study. The results showed that the structure and pattern of phytocenoses in the floodplain are primarily controlled by hydrological regime of the river and the geomorphological features of the area. The reach and duration of the flood contributed to a specific pattern of riparian vegetation. Based on plant community structure and riparian habitat indicators such as soil moisture, fertility, reaction pH, soil granulometry, and organic matter content, four habitat types were identified and supported by discriminant analysis (DA): wet, semi-wet, semi-dry, and dry zones. The indicator species analysis (ISA) revealed species characteristic of the zones with the dominance of reed rush, reed canary grass, anthropogenic or partially natural herbaceous communities along watercourses or riparian meadows, respectively. Natural inundation of the river water is an important driver of site-specific vegetation elements and habitat types and determines habitat availability, biodiversity, and ecosystem functions of wetlands. This knowledge can serve as the basis for conservation efforts, sustainable management practices, and decision-making processes aimed at maintaining the biodiversity and ecological integrity of riparian ecosystems in similar regions.
Research-Based Design of an Inclusive Park: Thammasat Water Sport Center, Pathum Thani, Thailand
Authors: Selanon Pattamon , Puggioni Federico , Dejnirattisai Supanut , Rutchamart Autchariya
Published: October 2023

Public parks are a community resource with an important role in improving liveability, physical, and mental wellbeing. However, exercise facilities that are suitable for people with disabilities typically have been neglected in public park design. As such, people with disabilities often are unable to independently or safely use the park. To address this shortcoming, the objective of this paper was to employ a pragmatic research through designing process in developing the design for an inclusive park. We used a mixed-methods approach in the research that included review of previous studies, semi-structured interviews, and questionnaire surveys with stakeholders were applied as design integration. Persons with disabilities specifically were consulted to express their views on all matters of inclusive park design.
Rapid Production Method of Massive Thematic Maps Based on Geospatial Knowledge Extraction
Authors: Yin Duoduo , Yin Chuan , Liu Wanzeng , Wu Hao , Liu Kexin , Wang Yanhui
Published: October 2023

Geospatial knowledge in massive academic papers can provide knowledge services such as location-based research hotspot analysis, spatio-temporal data aggregation, research results recommendation, etc. However, geospatial knowledge often exists implicitly in literature resources in unstructured form, which is difficult to be directly accessed and mined and utilized for rapid production of massive thematic maps. In this paper, we take the geospatial knowledge of the area studied as an example and introduce its extraction method in detail. An integrated feature template matching and random forest classification algorithm is proposed for accurately identifying research areas from the abstract texts of academic papers and producing thematic maps. Firstly, the precise recognition of geographical names is achieved step by step based on BiLSTM-CRF algorithm and improved heuristic disambiguation method; then, the area studied is extracted by the designed integrated feature recognition template of area studied using random forest classification algorithm, and a fast thematic map is designed for the knowledge of area studied, topic and literature. The experimental results show that the area studied recognition accuracy can reach 97%, the F-value is 96%, and the recall rate reaches 96%, achieving high accuracy and high efficiency of area studied extraction in text. Based on the geospatial knowledge, the thematic map can achieve the effect of fast map formation and accurate expression.
Influence of Travel Speed, Time, and Distance of Braking on the Efficiency of a Car’s Braking System
Authors: Cristescu Andreea Catalina , Ilie Filip
Published: October 2023

The importance of utilizing an optimal and efficient braking system is emphasized in this study. Braking system optimization and efficiency were practically determined through successive tests on the brake dynamometer, according to road safety regulations. Subsequently, the results were correlated with practical tests involving consecutive braking at different speeds, tracking both the time and distance of braking. The coefficient of friction (COF) was established for each braking instance by utilizing the braking force measured on the brake dynamometer. This paper aims to highlight the genuine impact of the braking system by measuring and establishing its braking efficiency depending on the car’s speed, time, and distance of braking.
Impact of Voxel Normalization on Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tomography (LDCT)
Authors: Hsiao Chia-Chi , Peng Chen-Hao , Wu Fu-Zong , Cheng Da-Chuan
Published: October 2023

Lung cancer (LC) stands as the foremost cause of cancer-related fatality rates worldwide. Early diagnosis significantly enhances patient survival rate. Nowadays, low dose computed tomography (LDCT) is widely employed on chest as a tool for large-scale lung cancer screening. Nonetheless, a large amount of chest radiographs causes an onerous burden on radiologists. Some computer-aided diagnostic (CAD) tools can provide insights to medical images for diagnosis and augmenting diagnostic speed. However, due to variation in parameter settings across different patients, substantial discrepancies in image voxels persist. We find different voxel-size causing a compromise between model generalization and diagnostic efficacy. This study investigates the performance disparities of diagnostic models trained on original images and LDCT images reconstructed to different voxel-sizes but isotropic. The application is to differentiate a nodule to be benign or malignant. Using 11 features, a support vector machine (SVM) is trained on LDCT images with an isotropic voxel having side-length of 1.5 mm for 225 patients in house. The result yields a favorable model performance with an accuracy of 0.9596 and an area under the receiver operating characteristic curve (ROC/AUC) of 0.9855. In addition to furnish CAD tools for clinical applications, future research is encouraged to include LDCT images from multi-centers.
Experimental Study: Interleukin-31 Augments Morphine-induced Antinociceptive Activity and Suppress Tolerance Development in Mice
Authors: Arai Iwao , Tsuji Minoru , Saito Saburo , Takeda Hiroshi
Published: October 2023

Morphine-induced antinociception is partially reduced in interleukin-31 (IL-31) receptor A (IL-31RA)-deficient mice, indicating that IL-31RA is crucial for morphine-induced peripheral antinociception. Herein, we examined the combined effects of IL-31 and morphine on antinociceptive activity and itch-associated scratching behavior (LLS) in mice, and elucidated the regulatory mechanisms. A hot-plate test was used to assess antinociception. LLS was automatically detected and recorded via computer. IL-31RA mRNA expression was assessed using real-time polymerase chain reaction. Repeated pre-treatment with IL-31 resulted in significant antinociceptive activity. Repeated administration of morphine decreased the morphine-induced antinociceptive activity, LLS counts, and regular dose, and inhibited IL-31-induced LLS. These results suggested that repeated administration of morphine depleted inter-neuronal IL-31RA levels, preventing morphine-induced antinociception. Therefore, IL-31 may be helpful as an adjunct analgesic to morphine. To explore the benefits of IL-31, its influence on morphine-induced antinociceptive tolerance in mice was examined. IL-31 and morphine combination increased analgesic action which increased the expression of DRG neuronal IL-31RA, elucidating the site of peripheral antinociception of morphine. This site may induce exocytosis of IL-31RA in the sensory nervous system. Collectively, the suppressive effect of IL-31 on morphine-induced antinociceptive tolerance may result from IL-31RA supplementation in sensory nerves.
Phase Transitions in the Making of an Elementary Master Equation
Authors: Plastino Angelo , Monteoliva Diana
Published: October 2023

We study different aspects of an exactly solvable master equation (ME). Its simplicity allows one direct access to the details of its workings, highlighting significant features and peculiarities. The existence of phase transitions is unveiled. \\
Chemical Composition, Antioxidant and Anticancer Activity of Pericarp Water Extracts of Mediterranean Ancient Chestnut Accessions
Authors: Spissu Ylenia , Molinu Maria Giovanna , D’hallewin Guy , Sanna Giulia , Serra Gavina Rita , Muroni Antonella , Barberis Antonio
Published: October 2023

The residue of chestnut processing generates a large amount of waste material, a resource not adequately exploited. The phenolic composition of water extracts from discarded pericarp of four (MURG, LOCG, ILDP and COEV) chestnut accessions and one marron variety belonging to the Sardinian biodiversity was studied. The antioxidant capacity of cold and hot water extracts was determined by DPPH, ABTS and cyclic voltammetry tests. The antiproliferative effect on normal cells (fibroblasts), and colon (RKO and SW48), breast (MCF7) and melanoma (B16F10) cancer cells, was evaluated by biological assays. MTT test demonstrated that temperature and different extraction times significantly influenced the growth of cells, both normal and tumor. The fibroblast viability was significantly reduced by moderate doses of cold extracts, but only by doses greater than 250 µg/ml of hot extracts, regardless of the accession or cultivar. An even more marked effect was observed when RKO and SW48 were treated with cold extracts, while treatments on B16F10 melanoma cells resulted less effective. Differently, the cold extracts of all accessions induced a significant increase in MCF7 cell viability starting from moderate doses (50 µg/ml), whereas hot extracts had a similar, but less evident, effect compared to reference fibroblasts.