bluuebunny/crossref_metadata_2025 huggingface dataset:
Una propuesta para el Manejo Basado en Ecosistemas (MBE) del Área Natural Protegida “Reserva de la Biósfera Pantanos de Centla, Tabasco” (Sureste Mexicano) como ecosistema vulnerable
Authors: Martínez Morales Leydi Diana , Mendoza Franco Edgar Fernando
Published: November 2024

This article represents a review of studies carried out in the Reserva de la Biosfera Pantanos de Centla (RBPC), a Protected Natural Area (ANP for its Spanish acronym) with important ecosystems of which a large amount of representative flora and fauna species of the Tabasco state (southern Mexico) are living. Present revision revealed that the anthropic activities that take place within and outside the Reserve, such as livestock farming, urbanization, pollution by private companies and the overexploitation of natural resources, degrade the habitats found there, altering the ecosystem services it offers. Therefore, here in an Ecosystem-Based Management is proposed (EBM) with strategies aimed at restoring and conserving the natural resources of the RBPC.
Keywords: RBPC, pollution, urbanization, over exploitation, EBM, restoration and conservation.
Close Electrohydrodynamic Fiber Deposition using a Partially Coated Glass Collector
Authors: Minařík Antonín , Mráček Aleš , Dalton Paul
Published: November 2024

This article outlines an electrohydrodynamic printing discovery that produces well-formed fibers from a normally difficult-to-process polymer that are positioned extremely close to each other. A solution of poly(vinylidene-co-trifluoroethylene-co-chlorotrifluoroethylene) P(VDF-co-TrFE-co-CTFE) in dimethyl sulfoxide (DMSO) is heated to 60°C to both enable solution flow and increased solvent evaporation from the jet. A glass microscope slide with a partially-coated platinum (Pt) region permitted the touching of direct written single parallel fibers to the level that they are touching. Such close-fiber positioning was unattainable on a non-coated microscope slide or metallic collectors. This discovery of a partially metal-coated glass collector expands the design possibilities for electrohydrodynamic continuous jetting.
Reversible Aminolysis: A New Concept for Postpolymerization Modification
Authors: Kasai Koki , Amii Hideki , Kakuchi Ryohei
Published: November 2024

Despite the powerful synthetic benefits of aminolysis postpolymerization modifications (PPMs), conventional aminolysis PPMs suffer from irreversibility owing to the difficulties in cleaving amide bonds formed from activated esters and amines. This occurs because conventional activated esters are chemically activated by enhancing the leaving group ability of alcohol residues. In this study, we propose a new aminolysis PPM system that enables reversible reactions by regenerating activated esters.
Molecular characteristics of saturated halogenated disinfection byproducts in chlorinated urban eutrophic lake water elucidated by ultrahigh-resolution mass spectrometry
Authors: Wu Shixi , Fu Qing-Long , Fujii Manabu , Liu Jibao , Elreedy Ahmed , Yang Xin , Fu Pingqing , Wang Yanxin
Published: November 2024

Lake eutrophication affects the molecular composition of aquatic dissolved organic matter (DOM) and halogenated disinfection byproducts (Xn-DBPs). However, the effects of autochthonous DOM on the Xn-DBPs formation during disinfection of natural eutrophic water from the perspective of biological metabolism are still poorly revealed. Herein, the natural urban eutrophic lake (UEL) water with slight eutrophication was employed to elucidate the discrepancies in Xn-DBPs formation between autochthonous and allochthonous DOM based on the ultrahigh-resolution mass spectrometry. The increased operational taxonomic units, microbial cell density and relative abundance of genus Microcystis in the collected samples indicated the slight algal bloom of the lake. The prefiltration decreased the total number of Xn-DBPs in the chlorinated UEL water. The number and its proportion of nitrogenous Xn-DBPs in chlorinated UEL water samples were significantly larger (p < 0.05) than those for chlorinated SRNOM. Microbes dominated by Microcystis contributed largely to releasing autochthonous DOM due to the microbial cell lysis and microbe-derived Xn-DBPs species upon disinfection. The Xn-DBPs species mainly derived from microorganisms were highly saturated, reduced, bioavailable, nitrogenous, and toxic but lowly oxidized and aromatic than terrestrially derived Xn-DBPs species. Moreover, the connection between microbial lipid metabolism and Xn-DBPs species exclusively identified in chlorinated UEL water indicated the considerable contribution of lipid metabolites to saturated Xn-DBPs species. Our findings not only shed light on the effects of algae on the molecular composition of DOM and Xn-DBPs species but also deepen the understanding towards the formation mechanisms of microbe-derived Xn-DBPs species from the view of microbial metabolic pathways.
Reactions of cold argon plasmas with condensed-phase peptides and proteins for mass spectrometry imaging and structural elucidation
Authors: McGill Dan , Simon Daniel , Ramadurai Siva , Takats Zoltan
Published: November 2024

The analysis of macromolecules - such as proteins - pose a significant bottleneck in analytical science. We have developed surface treatment techniques utilising direct and radiofrequency current argon plasmas, able to quickly digest condensed-phase macromolecules while maintaining spatial resolution of analytes. We show here that these plasmas can be powerful tools for mass spectrometry imaging of peptides and proteins.
LRS Bianchi Cosmological Model in Saez-Ballester Theory of Gravity with Time Varying Cosmological Constant
Authors: Mahanta Chandra Rekha , Basumatary Anindita
Published: November 2024

The present work deals with the study of a locally rotationally symmetric (LRS) Bianchi type-I cosmological model in the framework of a scalar-tensor theory of gravity formulated by Saez and Ballester with time varying cosmological constant. To obtain the explicit solutions of the Saez-Ballester field equations we assume the average scale factor to obey a power law expansion and the cosmological constant to be proportional to the energy density of the cosmic fluid. The dynamical behaviour of relevant cosmological  parameters including the Hubble parameter, the deceleration parameter, the energy density, the pressure, the equation of state parameter, the cosmological constant, the shear scalar, the expansion scalar etc. are investigated graphically by examining their evolution versus the redshift parameter. The validation of the four energy conditions are also checked. We find the outcomes of the constructed model to be in good agreement with the recent observational data.
High-Order B-Spline Finite Difference Approach for Schrodinger Equation in Quantum Mechanics
Authors: Senapati Archana , Padhy Balaji , Das Shashikant
Published: November 2024

This paper presents a new numerical method for solving the quantum mechanical complex-valued Schrodinger equation (CSE). The technique combines a second-order Crank-Nicolson scheme based on the finite element method (FEM) for temporal discretisation with nonic B-spline functions for spatial discretisation. This method is unconditionally stable with the help of Von-Neumann stability analysis. To verify our methodology, we examined an experiment utilising a range of error norms to compare experimental outcomes with analytical solutions. Our investigation verifies that the suggested approach works better than current methods, providing better accuracy and efficiency in quantum mechanical error analysis.
The Mechanism of Current Transfer in n-GaAs – p(ZnSe)1-x-y(Ge2)x(GaAs1–δBiδ)y Heterostructures
Authors: Zainabidinov Sirajidin S. , Mansurov Khotamjon J. , Boboev Akramjon Y. , Usmonov Jakhongir N.
Published: November 2024

The I-V characteristics of heterostructures n-GaAs – p-(ZnSe)1–x–y(Ge2)x(GaAs1–δBiδ) exhibit a characteristic quadratic law - J~V2 I-V curve, followed by a sharp pre-breakdown current growth, which well explains the observed straight branch of the I-V characteristics and this regularity remains unchanged at different temperatures. The analysis of the I-V characteristics of n‑GaAs‑p‑(ZnSe)1‑x‑y(Ge2)x(GaAs1–δBiδ) heterostructures with an extended intermediate solid solution layer shows that the drift mechanism of charge transport predominates under forward bias conditions.
Theory of Electron Transport in Two-Barrier Five-Layer Semiconductor Structures
Authors: Rasulov Rustam Y. , Rasulov Voxob R. , Mamatova Makhliyo A. , Nasirov Mardonbek X. , Isomaddinova Umida M.
Published: November 2024

The dependence of the transparency coefficient of a five-layer two-barrier structure on the electron energy and the ratio of the widths of two neighboring potential barriers is calculated. It is shown that the extremum of the transparency coefficient significantly depends on the geometric dimensions of the structure layers. In a symmetric five-layer two-barrier semiconductor structure, the condition for the occurrence of "resonant" electron transitions is defined. It is demonstrated that the mechanism of such (resonant) transitions is explained by the interference of de Broglie waves of electrons in the potential well, where the phases of de Broglie waves are determined by the geometric dimensions of the structure, and their amplitudes - by the ratio of the carrier energy to the height of the potential barrier. It has been established that with an increase in the effective mass of charge carriers, the number of intersections of the quantities fR (ξ) and ((1-2ξ))/(√(ξ-ξ2) increases. These intersections determine the dimensionally-quantized levels where electrons are localized.
Theory of Linear-Circular Dichroism in Monoatomic Layers of Transition Metal Dichalcogenides Taking into Account the Rabi Effect
Authors: Rasulov Rustam Y. , Rasulov Voxob R. , Nasirov Mardon K. , Mamatova Makhliyo A. , Muminov Islomjon A.
Published: November 2024

We have developed a theory of dimensional quantization for nanostructures, both one-dimensional and zero-dimensional, constructed from monoatomic layers of transition metal dichalcogenides (TMDCs). This theory has enabled us to derive expressions for the energy spectra of charge carriers in both even and odd states (relative to coordinate inversion), as these states occur within quantum-confined lines and points of the TMDC monoatomic layers, dependent on their geometric dimensions. Our numerical analysis provides a detailed exploration of the quantum-confined energy states of electrons within these nanostructures, offering insights into their potential applications in advanced nanoelectronic devices. This work not only advances our understanding of the energy characteristics of TMDC monoatomic layers but also contributes to the broader field of material science by exploring the effects of dimensional quantization on electronic properties.
Charge Transport Mechanism in Implanted p-GaSe:H+ Single Crystal
Authors: Madatov R.S. , Alekperov A.S. , Haciyeva S.A. , Muradov N.M. , Huseynov R.E.
Published: November 2024

The study analysed the impact of radiation defects on p-GaSe single crystal implanted with H+ ions (70 keV) on its charge transport mechanism. The research was conducted at 100 K and 300 K in an electric field of 102-104 V/cm. The study found that the activation energy of charge carriers injected at low temperatures and electric fields E < 103 V/cm ranged from 0.23-0.39 eV. This was observed due to the trapping of charge carriers in concentration traps of approximately 9·1013 cm-3, leading to monopolar injection. In the fields, E > 103 V/cm, a sharp increase in current was observed, which was explained by the thermal ionisation of local levels following the Frenkel mechanism. The study determined that the charge transport mechanism in GaSe:H+ crystals at low temperatures has a non-activated character.
Study of Photoconductivity of Thin Films of Cadmium and Selenium Obtained by Chemical Deposition
Authors: Ibrahimova L.N. , Abdullayev N.M. , Gardashbeyova N.A. , Alekperov A.S. , Azimova S.R. , Aliyev Y.I.
Published: November 2024

In this work, the photoconductivity (PC) spectrum of thin CdSe films was studied. In the course of studies on glass substrates, thin films of cadmium and selenium with a thickness of h = 200 nm and h = 400 nm were selected. The thickness of the samples obtained by chemical deposition was determined by the gravimetric method. Since CdSe crystal is a light-sensitive semiconductor material, the photoconductivity of thin films has been studied. The spectra obtained during studies carried out at a wavelength λ = 600-1100 nm were analyzed. It has been established that the spectrum is chaotic, since in the h = 200 nm layers the phase is not completely formed. In the layers h = 400 nm, a maximum centered at the wavelength λ = 710 nm was recorded.
Investigation of Sensitive Thermal Sensors Based on Si and Si
Authors: Utamuradova Sharifa B. , Rakhmanov Dilmurod A. , Abiyev Afsun S.
Published: November 2024

In this work, new sensitive thermal sensors based on Si and Si were developed. Single-crystal n- and p-type silicon samples doped with phosphorus and boron during growth were used for the study. These samples were first doped with platinum and palladium, then subjected to ohmic contact with nickel. To manufacture temperature sensors based on n-Si˂Pd˃ and obtain an ohmic contact, this material was subjected to appropriate mechanical and chemical treatments. Metallic nickel with a thickness d = 1 μm was chemically deposited on its surface, followed by thermal annealing in a vacuum at T = 400-450℃ for t = 10 - 15 minutes. To compare the created temperature sensors, a special measuring device, a thermostat, was developed to ensure uniform heat transfer.
Erratum: Cosmological Dynamics of Anisotropic Kaniadakis Holographic Dark Energy Model in Brans-Dicke Gravity [East European Journal of Physics, (2), 10-20 (2024)]
Authors: Prasanthi A. Vijaya , Suryanarayana G. , Aditya Y. , Prasanthi U.Y. Divya
Published: November 2024

The purpose of this Erratum is to correct a misprint presented in the original article
Research of application of low-resource cryptography algorithms in decentralized environments
Authors: Demenko Eugene Demenko , Nariezhnii Oleksii
Published: November 2024

The purpose of this material is to analysis of the application of low-resource cryptography algorithms for Internet of Things (IoT) systems and the possibility of their implementation in decentralized systems. Over the past few years, the Internet of Things has become one of the most important technologies of the century. Modern IT developments has reached a high level of technological development, which allows you to customize the interaction between IoT devices  and provide connection between people. With the appearance of 5G technologies, the IoT has become the center of development, for almost to all modern industries. Devices in this architecture are significantly smaller and have low power consumption. Conventional encryption algorithms tend to be computationally expensive due to their complexity and require many processing rounds. Low-resource cryptography is a compromise between implementation cost, speed, security, performance, and power consumption on IoT devices. The motivation for lightweight cryptography is to use less memory, less computing resources, and less power consumption to provide a security solution that can run on resource-constrained devices. Block ciphers have a fixed length (of bits) and special transformation stages, which are determined by a symmetric key. Block ciphers are quite versatile, which is very useful from an IoT perspective. Another advantage is that block ciphers has nearly proportional encryption and decryption methods. Therefore, it can be implemented with fewer resources.
Peculiarities of the integration of systems of protection against unsanctioned actions in modern information systems.
Authors: Melkozerova Olha , Liesnaia Yuliia , Malakhov Serhii
Published: November 2024

The purpose of this material is a brief review of the main options for integrating elements of systems (subsystems) of protection against unsanctioned activities (NSА) into information systems (IS) for various purposes. It is noted that the degree and method of mutual integration of the main systems are the result of the projection of the realized hierarchical relations between them. Attention is drawn to the fact that, depending on the operating conditions and the purpose of the base system, a significant reconfiguration of the logic of their relationship is possible, regarding the depth of mutual control and the possibilities of blocking the specified control functions (and/or critical processes). It is emphasized that with the general similarity of the basic ideas, the specific features of the design of protection subsystems against NSА in each case have their own specifics and limitations. Attention is focused on the fact that the declared level of legitimation of management procedures determines the required level of integration of interfaced systems (device). It is concluded that the level of functional dependence of the protection subsystem on the current modes of operation of the basic information system and the actions of its personnel is determined by the content of the (NSА) tasks assigned to it.
Overview of the current state of threats caused by the influence of exploits
Authors: Bohdanova Yelyzaveta , Chorna Tetiana , Malakhov Serhii
Published: November 2024

The issue of exploiting the software vulnerabilities is considered in the article. Particular attention has been paid to the two aspects of the practical usage of exploits, as an attack tool and as a means of testing protected information systems. It is emphasized that most often exploits are divided by the type of security vulnerability exploited. Analysis of the known incidents related to the use of exploits, al-lows us to assert the existence of a relationship between the degree of popularity of a software product or device, and the probability of the exploits being created. Attention is drawn to the fact that N-day exploits constitute a significant part of existing security threats for vulnerable devices (systems). The main reason for this situation is untimely updating of the used software and ignoring updates of security patches. The extreme importance of the timely release of security patches as an effective means of preventing the usage of identified software vulnerabilities is emphasized. Releasing security patches is a basic element of possible defensive reactions when dealing with such issues. Attention is drawn to the fact that, according to the results of the analysis of known cases of illegal use of exploits (the last 3 years), they, in their vast majority, are aimed at 3 attack vectors: - denial of service; - illegitimate widening the current powers of managemention; - remote execution of malicious code.
Comparative Assessment of US Cyber Incident Response Systems
Authors: Peliukh Oleksandr , Yesina Maryna , Holubnychyi Dmytro
Published: November 2024

In today's world, cyber threats are becoming a serious issue for companies in all professional sectors. For all organisations, regardless of their field of activity, cyber threats in today's world are undoubtedly a significant challenge. Undoubtedly, modern organisations should set themselves the task of effectively countering cyber threats regardless of their professional industry. To effectively counter these threats, organisations must have effective incident response systems in place, including in cyberspace. There are many incident response frameworks in the US, each with its own advantages and disadvantages. This article offers a comparative analysis of the four leading US cyber incident response frameworks: NIST Cybersecurity Framework (CSF), CISA Cyber Incident Response Guide, ISO/IEC 27001 and NIST Special Publication 800-61. The purpose of the study is to provide organisations with an overview of the four leading incident response frameworks in the US so that they can choose the most appropriate framework for their specific needs. The research was conducted using a qualitative approach that included a thorough review of official documents, a review of relevant current literature, and consultation with cybersecurity professionals. This article is a valuable resource for organisations and companies looking for an effective and efficient method of responding to incidents, including cyber incidents. It provides an overview of the four leading frameworks in the US, allowing organisations to compare their advantages and disadvantages and ultimately choose the most appropriate framework for their specific objectives.
Problematic issues of machine learning technology in law enforcement
Authors: Uzlov Dmytro , Strukov Volodymyr , Hudilin Vladyslav , Vlasov Oleksii
Published: November 2024

Law enforcement agencies increasingly use predictive and automation technologies where the core technology is often a machine learning (ML) model. The article considers the problem of accountability and responsibility of law enforcement agencies and officials connected with using of ML models. The authors point out that accountability is a key element of democratic law enforcement, but using of the predictive software can create challenges in ensuring that accountability. The article discusses how the application of ML can lead to obfuscation of responsibility and complicating accountability in «multi-agent structures» that combine humans and computational tools. Special attention is paid to the opacity of predictive algorithms and automated decision-making systems. It becomes a source of misunderstandings and caution regarding their use.  The authors raise questions about how effective oversight and full reporting can be ensured when key components of the decision-making systems remain unknown to the general public, officials, and even developers of the models. The paper argues that important questions related to ML decision models can be solved without detailed knowledge of the machine learning algorithms, allowing non-ML law enforcement experts to study them in a form of intelligent control. Non-ML experts can and should review trained ML models. The authors provide a «toolkit» in the form of questions about three elements of the ML-based decision models that can be qualitatively explored by non-machine learning experts: training data, training goal, and anticipatory outcome evaluation. This approach expands the capabilities of these experts in the form of an objective assessment of the use of ML models in law enforcement tasks. This will allow them to evaluate effectiveness of the models through the prism of their own experience. The basic idea is that even without deep technical knowledge, law enforcement experts can analyze and review ML models. This approach promotes understanding of the use of machine learning technologies in law enforcement, expanding the potential of non-ML law enforcement experts.
Using ZK-SNARK to solve blockchain scalability problem
Authors: Kuznetsova Kateryna , Yezhov Anton
Published: November 2024

The paper elucidates the fundamental concepts of blockchain technology and its essential parameters, delving into the contemporary scalability challenges faced by blockchain networks. It studies existing directions and compares well-known protocols to propose the solution for the blockchain scalability problem. The main goal of this research is to propose a promising method to solve the scalability problem in blockchain technology. This proposed solution should be universal and applicable in different systems. We chose zero-knowledge proof technology as a promising direction for detailed study. We used protocols, based on this technology, to develop a validation system for a linked chain of blocks. Presented experimental results substantiate the prospects of this direction for solving the scalability problems of modern blockchain systems. The relevance of the chosen topic is determined by the mass introduction of blockchain systems in various areas of human life. As it happens to every network, the volume of information that must be continuously processed increases. This challenge demands to develop solutions to improve systems, making them flexible in working with millions of users. At the same time, it is still important to maintain the security and confidentiality of the information and keep the decentralized organization of the data exchange process in the updated systems. Therefore, in the modern blockchain industry, the predominant challenge revolves around discovering models and methods to overcome the scalability hurdle, facilitating the widespread implementation of blockchain applications on a full scale.
Comparative analysis of artificial intelligence based on existing Chatbots
Authors: Kobylianska Olena , Yesina Maryna , Gorbenko Yurii
Published: November 2024

This paper presents a comprehensive analysis of two leading artificial intelligence (AI) systems – ChatGPT-4 from OpenAI and Bard from Google AI. It also provides an overview of the development of artificial intelligence in various fields and its impact on human daily life, especially in areas such as medicine, finance, public administration, etc. A detailed comparison of different versions of ChatGPT (GPT-3 and GPT-4) is carried out by discussing and analyzing their capabilities, improvements, and limitations. The article also discusses the integration of the Bard system with Google services, its unique functionality, and the latest updates. The purpose of the study is to compare the capabilities of ChatGP-4T and Bard AI systems, highlight their strengths and weaknesses, as well as their practical application. Comparative testing was conducted to evaluate the performance of each model (system) in various tasks, including solving a logical problem, writing an essay, analyzing followed by making suggestions for improving the website and writing HTML/CSS code for a web page. The results highlight the fact that, despite the recognized advantages of these models, their functional characteristics may sometimes be limited or not meet expectations when performing specific tasks, and the choice of system (model) will be adjusted depending on the needs of users.
Methods for determining the categories of cyber incidents and assessing information security risks
Authors: Kopytsia Oleksandr , Uzlov Dmytro
Published: November 2024

The article is devoted to the study of categories of cyber incidents and their prioritization in the context of information security. It discusses the main sources that provide information about cyber threats and defines their role in detecting and analyzing incidents, and provides tools for collecting and analyzing data. The concepts of event, incident, and crime and the relationship between them are discussed. The author provides a classification of various types of cyber threats, how they are coded, their characteristics and impact on information systems. Examples of the use of cyber incident classification are given. The authors of the article also consider specific types of cyber incidents that may occur in various fields of activity and the threats they pose to various information systems. The necessity and methods of determining priorities in responding to cyber threats are substantiated, which allows for the effective allocation of resources and the implementation of preventive cyber security measures. The approach to assessing and classifying incidents according to their possible impact on the organization's activities, information security and ability to recover from cyber attacks is revealed. The article highlights various approaches and methodologies for identifying and managing information security risks, including the use of standards, models and assessment tools. This article is a resource for cybersecurity professionals, researchers, and executives interested in risk management and information asset protection in today's digital environment.
Researching the possibilities of using steganographic and cryptographic algorithms for information hiding
Authors: Bodnia Mykyta , Yesina Maryna , Ponomar Volodymyr
Published: November 2024

The organization of information security has always been a relevant task, especially after the emergence of information and communication systems. The fundamental directions in the field of information security, dating back to ancient times, include cryptography and steganography. Cryptography implements information protection by transforming it into an unreadable form. Steganography allows the concealment of information in various containers (such as images, texts, audio recordings), keeping the presence of information unnoticed by casual observers. The article discusses approaches to cryptography and steganography, the concept of hybrid application of cryptographic and steganographic methods to provide a dual-layer data protection, and the overall architecture of cryptographic and steganographic systems. Traditional cryptographic systems applied in modern information security systems include symmetric and asymmetric cryptosystems. Although symmetric systems have evolved with the appearance of new mathematical transformations, they have a significant drawback. It consists of the need for an additional transfer of the secret key to the recipient. Such a strategy requires the use of a protected communication channel equipped with technical protection systems. At the same time, there is a risk of unauthorized access, which can cause the secret key to be compromised. Based on the above problems of symmetric cryptosystems, preference is given to asymmetric algorithms when developing protection mechanisms. An analysis of the RSA cryptosystem, based on an asymmetric encryption approach, has been conducted. This system is used in contemporary authentication protocols and ensures confidentiality in information systems and the Internet. The performance of software modules for key pair generation, encryption, and decryption for the RSA system was investigated by modifying the algorithm's general parameters (transform module, source data size). The results of time measurements are presented in a table, based on which dependencies of time on specific parameter modifications are built. The steganographic algorithm of modification of the least significant bit (LSB), which is used to hide data in images, is studied. Currently, there is a wide range of steganographic algorithms developed based on the characteristics of human sensory systems (such as vision or hearing). The article discusses the properties of the human visual system (HVS) utilized in steganography.
The analysis of Hermite factor of BKZ algorithm on small lattices
Authors: Ivan Gorbenko  , Serhii Kandii
Published: November 2024

Lattice cryptography is one of the promising directions in modern cryptography research. Digital signatures and key encapsulation mechanisms on lattices have already been used in practice. In the future, such quantum-resistant transformations on lattices replace all standards that are not resistant to attacks on quantum computers. This makes the analysis of their security extremely relevant. Analysis of the security of cryptographic transformations on lattices is often reduced to the estimation of the minimum block size in the lattice reduction algorithm. For the expansion of small vectors, a reduction algorithm can be obtained for a given block size, the GSA model is often used, which uses the so-called Hermitian factor to predict the size of the vectors that the lattice reduction algorithm can obtain given the parameters. Asymptotic formulas have been developed to evaluate it in practice, but the question of their accuracy on cryptographic lattices has not been fully investigated. The work obtained estimates of the accuracy of the existing asymptotic estimates of the Hermite factor for lattices of sizes 120, 145, 170 for the classical BKZ algorithm. Research was conducted using the fpylll library. It was shown that the existing estimators are equivalent from a practical point of view and have a sufficiently small root mean square deviation from the true values. A formula was obtained that binds the root-mean-square error of approximation of the Hermit factor to the cryptographic parameters of lattices. The obtained results are useful for refining the security assessments of existing cryptographic transformations.
Security in the era of wireless innovations: analysis of potential threats and protective measures
Authors: Yevheniia Matvieieva  , Maryna Yesina  , Oleksandr Shumov
Published: November 2024

In today's interconnected world, wireless data transmission technologies have seamlessly integrated into the fabric of modern business operations. As reliance on these technologies grows, so does the imperative to ensure robust cyber security measures. Particularly in the age of wireless innovations, exemplified by the proliferation of the Internet of Things (IoT), the discourse surrounding the security of wireless technologies underscores the necessity of comprehending both established threats and the continuous emergence of new vulnerabilities. This underscores the urgent need for timely detection and mitigation strategies. While the convenience afforded by wireless data transmission technologies grants society unprecedented access to information and facilitates the management of diverse devices, processes, and systems, it also exposes users and modern information and communication systems (ICS) to significant cyber threats and vulnerabilities. Consequently, there arises a pressing need to address these challenges comprehensively. This research dissects contemporary methodologies aimed at restricting access to wireless networks, identifying potential vulnerabilities, and crafting effective responses to cyberattacks. It delves into various facets of cyber security, including data encryption, user authentication mechanisms, traffic monitoring protocols, and anomaly detection algorithms. Furthermore, it delves into the crucial aspect of educating personnel on wireless security practices, equipping them with threat awareness and incident response capabilities. Given the dynamic landscape of cybersecurity technologies and threats, this work seeks to establish a foundational understanding of the security landscape within wireless networks. By doing so, it aims to outline pragmatic strategies for effectively managing security risks, thereby fortifying the resilience of modern organizations and safeguarding critical information assets.
Reconstruction of three-dimensional scenes based on video flow data
Authors: Denys Hrulov  , Anastasiia Morozova  , Petro Dolia  , Liliia Bielova
Published: November 2024

This work is dedicated to the application of modern algorithms for reconstructing spatial scenes from images to restore spatial information from video. The work is looking at a variety of modern methods, approaches, algorithms and trends in the field. The attention was paid to the sequence of development of approaches to the completion of the task. While researching the field and results related to three-dimensional reconstruction based on images and video streams, an algorithm was invented that allows constructing dense depth maps using information from all video frames. The idea is to use ready-made, commonly accepted, and tested solutions to solve two problems: COLMAP for visual odometry, and RAFT for computing optical flow. The algorithm shows quite accurate results and reconstructs the depth map in detail on arbitrary static scenes.
Management of public financial debt in conditions of unbalanced supply and demand of energy resources
Authors: Likhonosova Ganna
Published: November 2024

Financial debt management in the context of the energy crisis is an urgent problem that requires a strategic approach in countries with an unstable energy system. The imbalance between the supply and demand of energy resources generation creates a trap in which the growth of energy shortages leads to increased import costs, higher prices for end consumers and increased financial burden on the state. This, in turn, can provoke inflationary pressure, a decrease in the competitiveness of the national economy, an increase in public debt and social tension due to an increase in the cost of living and a decrease in the level of energy security. The research used the methods of scenario analysis, descriptive statistics, econometric, monographic and comparative analysis. The purpose of the article is to analyze the impact of energy crises on the state of state financial support, to determine ways to minimize risks and ensure financial stability. In the course of the study, the degree of influence of the imbalance of demand and supply of energy resources on the state financial debt was determined through the use of such tools as: analysis of market conditions, assessment of the level of demand and supply for energy resources. The paradigm of an integrated approach to the management of public debt in the context of energy crises is characterized, which is based on an integrated, multidimensional analysis and management of interrelationships between various economic, financial, social and political factors. It is emphasized that consideration of the energy sector should not take place in isolation, but in the context of its interaction with the financial capabilities of other sectors of the economy. Practical recommendations include risk assessment models related to energy crises and methods of stabilizing public finances, which can be used in the operational management of the state's financial debt. The method of integration and coordination of energy, economic, fiscal and social indicators is proposed for determining effective financial instruments and mechanisms for optimizing budget expenditures. It is concluded that in the conditions of imbalance of energy demand and supply, management of financial debt requires a strategic approach based on investments in clean energy, improvement of energy efficiency and accurate forecasting
NOVEL DEVICE FOR ENHANCING TUBERCULOSIS DIAGNOSIS FOR FASTER, MORE ACCURATE SCREENING RESULTS
Authors: Manaswini Davuluri  , Venkata Sai Teja Yarlagadda
Published: November 2024

Tuberculosis (TB) continues to be a leading global cause of illness and death, highlighting an urgent need for rapid, precise diagnostic solutions. Conventional methods, such as chest X-rays and sputum smear microscopy, often lack adequate sensitivity and specificity, resulting in treatment delays and increased transmission. This research introduces a novel device leveraging deep learning to enhance TB diagnosis, utilizing a convolutional neural network (CNN) model designed to automatically detect TB-related abnormalities in chest X-ray images. The device, powered by a large annotated dataset, incorporates transfer learning to fine-tune pre-trained models, maximizing diagnostic performance. Key evaluation metrics—accuracy, precision, recall, and F1-score—demonstrate the model’s efficacy compared to traditional diagnostics. Preliminary findings show that the AI-driven approach significantly enhances diagnostic accuracy, reducing false negatives and facilitating faster screenings. These results suggest that embedding AI technology in clinical workflows can enable earlier TB detection, optimize healthcare resources, and improve patient outcomes. Future directions include testing the device across diverse clinical environments and exploring integration with mobile health technologies to broaden access to rapid TB diagnostics.
LEVERAGING ENVIRONMENTAL PERFORMANCE IN ALGERIAN ECONOMIC INSTITUTIONS FOR SUSTAINABLE DEVELOPMENT
Authors: Fethi Hanniche , Amar Hamidat , Boukhalfi Messaoud
Published: November 2024

Purpose: The study explored how environmental performance contributes to sustainable development, focusing on its role in achieving key dimensions of sustainability.
 
Theoretical Framework: It emphasized that essential administrative tools for environmental protection are primarily found within the legal and institutional framework, which includes various national bodies established to support sustainable development. These organizations play a significant role in raising awareness, providing training, and emphasizing the importance of adhering to environmental standards through preventive, conservation, and regulatory measures, all backed by legal authority. Additionally, civil society has a crucial role in fostering environmental awareness, particularly within economic institutions.
 
Design/Methodology/Approach: The designof the study is descriptive and analytical. Data for this study were collected from official Algerian sources.
 
Findings: Cleaner Production this approach is a practical implementation of sustainable development, enabling greater efficiency in production while minimizing the use of raw materials and resources, all while protecting the environment.
The Biology of Invasive Native Plant as an Ex-situ Collection: A Case Study of Epipremnum pinnatum (L.) Engl. (Araceae) in Bogor Botanical Garden, Indonesia
Authors: Zulkarnaen Rizmoon , Martiansyah Irfan , Damayanti Frisca , Wardani Fitri Fatma , Yudaputra Angga , Robiansyah Iyan , Hutabarat Prima Wahyu K. , Harto Harto
Published: November 2024

The Bogor Botanical Garden (BBG) is a pivotal center for plant research and conservation, boasting a diverse collection of over 12,000 individual plants spanning various species. However, among the plant collections at BBG, some of them have the potential to be invasive. Therefore, this study aimed to uncover the plant collections at BBG with invasive potential and analyze the distribution of one of the most dominant collections, Epipremnum pinnatum (L.) Engl. The method employed in this research involved a literature review to identify which plant collections have invasive potential and a vegetation analysis on the distribution of E. pinnatum within BBG. Additionally, ANOVA analysis and regression models were employed to explore the relationship between environmental factors and E. pinnatum abundance. Results revealed that BBG hosted 78 potentially invasive plant species, with E. pinnatum comprising 28 individuals. Spatial analysis indicates a clustered distribution of E. pinnatum, influenced by seed dispersal mechanisms, environmental factors, and biotic interactions. Correlation analysis links soil pH, soil moisture, and canopy cover to E. pinnatum distribution. Canopy cover demonstrates a significant positive correlation with E. pinnatum abundance, suggesting its importance in providing favorable microclimates for growth. Regression analysis further supports canopy cover as a predictor of E. pinnatum presence. However, while a strong statistical association was observed, causal relationships require further investigation. This study underscores the complexity of ecological dynamics in BBG and emphasizes the need for comprehensive research to define underlying mechanisms driving plant distributions and interactions.
In Silico Evaluation of rbcL, matK, and psbA-trnH Regions on the Genus Spatholobus (Fabaceae)
Authors: Muwaffiq Faza Ahmad , Khairunnisa Hidaya Amira , Fatma Yona Hafidza , Talitha Pangestu Twistka , Shafala Safa Muhammad , Suyanto Eko , Turhadi Turhadi , Fatchiyah Fatchiyah
Published: November 2024

Spatholobus is a genus that belongs to the Fabaceae that is known to contain various bioactive compounds and distributed across Asia, including Indonesia. However, exploration of Spatholobus in Indonesia is still rare. Therefore, DNA barcoding is used to support the exploration and conservation of Spatholobus in Indonesia. However, there is no universal marker that can be used across all plant species. In addition, there are still few studies related to DNA barcoding within the genus Spatholobus. The purpose of this study was to evaluate the rbcL, matK, and intergenic spacer psbA-trnH regions in silico that can be used as DNA barcodes for the genus Spatholobus. This study began with a sequence search on the NCBI database including the rbcL, matK, and intergenic spacer psbA-trnH genes   in the genus Spatholobus and Phaseolus coccineus as the outgroup. Each sequence was then aligned with ClustalW. Then, a phylogenetic tree was constructed using the Maximum-Likelihood (ML) with 1000× bootstrap. As a result, the rbcL, matK, and psbA-trnH regions can be used as markers for DNA barcoding in the genus Spatholobus with different specifications. The rbcL and matK can be used to distinguish Spatholobus at the genus level, while the psbA-trnH can be used to distinguish Spatholobus at the species level.
Diversity and Distribution of Thalloid Liverworts in Mount Ungaran, Central Java, Indonesia
Authors: Orsida Fadla , Lilih Khotimperwati  , Erma Prihastanti  , Nadhifah Ainun
Published: November 2024

Lumut hati talus merupakan komponen penting ekosistem hutan pegunungan, yang berperan penting dalam retensi air, daur hara, dan sebagai indikator kualitas lingkungan. Tumbuhan rendah ini termasuk dalam kelompok polifiletik atau memiliki nenek moyang yang berbeda, tetapi memiliki bentuk yang mirip dan dapat bertahan hidup di ekosistem darat. Tujuan penelitian ini adalah untuk memperbarui informasi tentang identifikasi, klasifikasi, dan distribusi lumut hati talus di lereng Gunung Ungaran sehingga dapat mengungkap wawasan berharga tentang keanekaragaman hayati tumbuhan, dinamika ekosistem, dan potensi aplikasinya di berbagai bidang. Metode pengambilan sampel menggunakan teknik purposive sampling, plot, dan identifikasi literatur taksonomi. Hasil sebaran lumut hati talus di ketiga stasiun tersebar luas dan ditemukan 4 famili dengan 6 spesies lumut hati talus kompleks, yaitu Marchantia polymorpha L., Marchantia emarginata Reinw., Blume et al., Marchantia treubii Schiffn., Wiesnerella denudata (Mitt.) Steph., Dumortiera hirsuta (SW.) Nees., dan Cyathodium smaragdinum Schiffn yang termasuk dalam kelas Marchantiopsida. Selain itu, ditemukan 3 famili dengan 3 spesies lumut hati talus sederhana, yaitu Riccia treubiana Steph yang termasuk dalam kelas Marchantiopsida; Metzgeria furcata (L.) Dumort; dan Aneura maxima Schiffn yang termasuk dalam kelas Jungermaniopsida.
Los límites del enfoque mainstream para estudiar el impacto de la tecnología en el mercado laboral: la ecuación de reemplazo y las capacidades de adopción como factores clave
Authors: Fernández-Franco Sebastián , Graña Juan M.
Published: November 2024

En el enfoque mainstream, se presenta al avance tecnológico como el principal factor para explicar el alcance de la automatización. Sin embargo, «avance tecnológico» no es lo mismo que «adopción». De hecho, en las periferias, un mayor potencial para automatizar coexiste con una menor adopción tecnológica. Para explicar esta aparente contradicción, incorporamos dos conceptos teóricos que, normalmente, no son considerados en la bibliografía relativa al futuro del trabajo: la ecuación de reemplazo marxista y las capacidades de adopción del evolucionismo. Al considerarlos conjuntamente, queda claro que la propuesta de «recalificación» como política pública para mitigar los efectos de las tecnologías basadas en inteligencia artificial es insuficiente, ya que tanto cuestiones económicas como de adopción limitan el proceso.
Investigating the Impact of Test Anxiety and Self-Regulation on Foreign Language Learning: A Quantitative Correlational Approach
Authors: Ispinar Akcayoglu Duygu , Ozer Omer
Published: November 2024

The present study investigated the self-regulated learning strategies adopted by EFL learners, their levels of cognitive test anxiety, and the potential correlations between self-regulated learning and cognitive test anxiety. The study also examined whether gender and level of language proficiency had a significant effect on self-regulated learning and cognitive test anxiety. A correlational survey design was employed to investigate EFL learners and cross-sectional data were collected through an online questionnaire. Data analysis of 269 undergraduate students revealed that gender consistently emerged as a significant variable. Notably, female students exhibited higher mean scores in both self-regulated learning and cognitive test anxiety. Furthermore, the results consistently found a correlation between self-regulated learning and cognitive test anxiety, with self-regulated learning effectively predicting cognitive test anxiety. Specifically, the predictive power of self-regulated learning for cognitive test anxiety was found to be statistically significant only within the group of students at A2 language level.