Comparison Method Research Articles

Accounting Contribution to Sustainable Development

The initial studies that connected accounting and sustainability concentrated on the shortcomings of traditional accounting as well as the boundaries of the underlying accounting philosophy, which typically emphasizes monetary, quantitative measures of corporate economic activity. Some authors believe that accounting has sought to respond to sustainable development in a variety of ways. This raises the question of the relationship between accounting and sustainability and the role of accounting in sustainability. The aim of the paper is to identify different ways of linking accounting with sustainability and to determine the contribution of the accounting profession to sustainable development. This study is based on information that was gathered through an extensive literature review (research publications and research studies [documents]) using internet and research databases and the authors’ own experience. Methods of analysis, comparison, selection, abstraction, induction, deduction, determination, and statistics were used. This study presents a comprehensive bibliometric analysis. The identified correlation between “accountant” and sustainability, reporting, sustainable development, and responsibility highlights the importance of the accounting profession in promoting sustainability and fostering responsible practices. Also, a correlation between accountants and artificial intelligence was identified.

An Integrative Review of Specialised Nursing Career Frameworks to Develop a Nursing Career Framework for Registered Nurses Working in Aged Care.

The aim of this study is to synthesise literature on specialised nursing career frameworks to inform the development of an aged care nursing career framework. An integrative review was conducted. The review followed Whittemore and Knafl's five-step integrative review method. To appraise the quality of the studies, the Quality Appraisal for Diverse Studies tool for peer-reviewed articles and the ACCODS (Authority, Accuracy, Coverage, Objectivity, Date, and Significance) checklist for grey literature were used. Data were extracted and synthesised using the constant comparison method. The electronic databases of CINAHL, Medline, PsycINFO and Google Scholar were searched to identify peer-reviewed articles and grey literature reporting on specialised nursing career frameworks for registered nurses. Eight studies were reviewed, and the findings were presented corresponding to each of the three research questions of the review. First, the research methods adopted to develop specialised nursing career frameworks were described based on the research design, stakeholder involvement and data collection methods. Second, the key elements of specialised nursing career frameworks were identified as career pathways, nursing competencies and roles and progression between the career levels. Third, the findings suggested that the key purposes for developing specialised nursing career frameworks are to improve professional development, recruitment and retention and to promote consistency and quality in nursing practice. The study highlights a significant gap in the evidence base of career frameworks for registered nurses in aged care, emphasising the need for future research. This review answered three research questions: methods for developing specialised nursing career frameworks, their key components and main purposes, providing insights to guide healthcare organisations and researchers. The findings indicate that career frameworks are primarily intended to promote knowledge and skills development and may also to bolster recruitment and retention rates, and support nurses' career advancement, but there is limited evidence on implementation, evaluation and sustainability. The findings will guide healthcare organisations and future researchers with methods and techniques to develop specialised nursing career frameworks. Implementing a specialised nursing career framework in aged care could enhance continuous professional development, recruitment, retention and career progression among nurses. Nursing career frameworks have been widely applied to address professional development and retention objectives. However, there is limited evidence available to formulate a career framework for registered nurses working in aged care. The review identified the research methods adopted to develop specialised nursing career frameworks along with the key elements of specialised nursing career frameworks. These findings will guide employers and future researchers in developing evidence-based aged-care nursing career frameworks. Additionally, the findings will guide registered nurses in using career frameworks as a tool to facilitate career advancement and competency development. Furthermore, the review recognised the key purposes for developing specialised nursing career frameworks, suggesting that the meaningful adoption of career frameworks could be utilised as a strategic approach for enhancing retention and workforce development of the aged care workforce. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used for reporting. No patient or public contribution. The integrative review protocol was registered in the PROSPERO international prospective register of systematic reviews database (registration no: CRD42022354728).

Imbalance in the duality of criminal activity and its proving

Objective: to verify and confirm (or refute) the hypothesis about the mismatch between the means of proof and the means of criminal activity in terms of strength and diversity, which causes imbalance in the dualism of criminal activity and its proving. Methods: in solving the research problem, we used, first of all, dualistic and hypothetical-deductive methods, as well as methods of functional systems, comparison and other general scientific methods. Results: criminal activity and its proving show the dualism of two complex functional systems, which are opposite, not reducible to each other, equal, but not equipollent. The lack of equipollency is manifested in the inconsistency of the means of proof with the means of criminal activity in terms of strength and diversity. On the one hand, the available means of proof are outdated and limited; on the other hand, they are used ineffectively when forming evidentiary systems of different levels. This leads to imbalance in the dualistic system. This is confirmed by systemic problems of reality – critically low disclosure rate, violation of the rights and freedoms of participants in criminal proceedings, low level of compensation for damages from crimes, protracted procedures of multi-volume criminal cases, etc. Scientific novelty: for the first time, the activity of proving is presented as a complex functional system, which together with criminal activity forms a dualism. In this dualistic system, an imbalance is found, consisting in the non-equipollent relationship between the two functional systems, where the means of proving are inferior to the means of criminal activity both in strength and in diversity. In this regard, the article attempts to reveal the mechanism of proving in order to determine how the two sides in the dualistic system can be balanced. Practical significance: the provisions laid down in the study can in the future act as a methodological basis for improving the means of proving and increasing the effectiveness of forming evidentiary systems of different levels.

Oscillation of Third-Order Thomas–Fermi-Type Nonlinear Differential Equations with an Advanced Argument

In this paper, the authors obtain some new sufficient conditions for the oscillation of all solutions of Thomas–Fermi-type third-order nonlinear differential equations with advanced argument of the form (a2(t)(a1(t)y′(t))′)′−q(t)yα(σ(t))=0, under the assumptions that ∫t0∞1a2(t)dt<∞ and ∫t0∞1a1(t)dt=∞. The results are achieved by transforming the equation into a canonical-type equation and then applying integral averaging techniques and the comparison method to obtain oscillation criteria for the transformed equation. This in turn will imply the oscillation of the original equation. Several examples are provided to illustrate the significance of the main results.

A Method for Classification of Chest Motion base on Time-domain Signals of IR-UWB Radar

Abstract As an instrument for wireless sensing and measurement, radar is widely used in target tracking and localization. And Impulse Radio Ultra-Wideband (IR-UWB) radar, with its excellent characteristics of high resolution and large bandwidth, has become a research hotspot in the fields of perception and ranging, smart home and so on. However, when radar sampling rates are low, It's hard to recognize human activity only based on radar images. Also when the amplitude of human movement is too tiny, it is difficult to recognize the human activitise just by the energy amplitude of the echo. This paper proposes a novel method to classify small amplitude human chest motions by time-domain signal from Impulse Radio Ultra-Wideband (IR-UWB) radar with a low sampling rate. Based on the energy and phase of the radar echoes, our method can detect the onset of human's motion and differentiate between normal breathing and apnea. Additionally, the amplitude of human's motion can be distinguished based on the distance range spanned by the echoes. Finally, a two-step classification method is employed to distinguish between yawning and coughing in small motions. The paper reports a classification precision of 0.9186, recall rate of 0.9163, and F1 score of 0.9172 for the proposed method under experimental conditions. The experimental performance outperformed the adopted comparison method based on MobileNetV3. We also tested the performance of the proposed method under different angle and distance conditions, which demonstrates the feasibility of our method.

Evaluation of Incurred Subject Period Re-analysis (ISPR) as a Tool to Distinguish Fraudulent Pharmacokinetic Profile Pairs from Non-fraudulent Pairs.

Duplicate pharmacokinetic profiles in bioequivalence trials is an issue which has caused hundreds of retracted marketing authorizations. No formal test for profile duplication exists in spite of the existence of profile comparison algorithms, so defining a threshold that distinguishes a naturally occurring pair from a duplication remains difficult. An idea called ISPR (incurred subject period analysis) was aired in 2023 and is evaluated in this paper along with three new profile comparison methods. ISPR involves analysis of entire PK-profiles within a study. It is shown that when ISPR is combined with appropriate PK-profile comparison methods, the duplicate pairs display a lower score (better similarity) than pair that do not arise out of duplication. Therefore, ISPR may help establish a threshold that distinguishes fraudulent profile pairs from non-fraudulent profile pairs. ISPR therefore may be used as QA tool, serves as a method by which a CRO can -to some extent- show that their studies do not contain duplicates in the primary analysis, and thus also may be a means by which sponsor can argue that their studies are trustworthy, in case the suspicion about duplication arises. This paper does not introduce a formal test for this type of fraud; rather the authors see it as a first moderate step in that direction. Hopefully, if or when ISPR data is submitted to authorities as part of general dossier submission, data will accumulate to the extent that they may be able to develop models that allow formal testing for profile duplication.

Towards the Structure of the Digital Competence of the Library Specialists

The purpose of the article is to present the structure of the digital competence of a library specialist, developed based on research of recommendations of specialised organisations and regulatory documents, European approaches to the development of digital competence frameworks, and the results of a survey of library specialists. The research methodology is based on applying systemic, functional, acmeological, axiological and socio-communication approaches, which made it possible to scientifically understand the essence and structure of the formation of digital competence of library specialists. The theoretical methods of analysis and comparison helped to study the problem, clarify the essence of key concepts and determine the structure of the digital competence of library specialists; generalisation and systematisation were used to substantiate the components of digital competence. The scientific novelty. The structure of the digital competence of a library specialist is defined, which takes into account overall digital competence, digital technologies for professional activities, support learning, teaching and research (in particular, promoting digital literacy and users digital inclusion, digital mentoring), the ability to digital transformation and professional development in the digital environment. The author presents the draft digital competence framework for library specialists, which can be considered for improvement in the draft framework published by the Ministry of Digital Transformation for public discussion. Conclusions. The digital competence framework for library professionals can become the basis for an effective system of training and in-service training in digitalisation at different degrees of education, as well as a tool for effectively monitoring the level of digital competence among library staff. The presented draft digital competence framework for library professionals includes six areas (digital literacy; digital collections and resources; digital service, digital technologies and tools in professional activities; digital mentoring; digital leadership and professional development), thirty descriptors, and provides four levels of proficiency described by task complexity, autonomy, attitude, and cognitive domain. A comparison is made with the draft published by the Ministry of Digital Transformation in June 2024, along with recommendations for its improvement.

Qlobal Ekololoji Reallıq: İqlim Dəyişiklikləri Sosietal Problem Kimi

In the presented article, studying climate changes as one of the global problems that concern the countries of the world, as well as the impact of anthropogenic factors on the living world, preventing the consequences they cause to the environment, taking measures on a global scale in order to minimize these effects, and cooperating in this direction is one of the main priority issues in the modern era. as mentioned. It is noted that there are conflicting views on the approach to the problem. The scientific community investigating the topic of climate change is divided into two fronts. The first front is based on the fact that climate change is an empty claim made by a group of stakeholders, especially developed countries, to prevent the speed of progress in developing countries. The second front, which includes well-known environmental scientists of the world, tries to explain with its scientific reasoning and research that climate change is the most serious problem facing humanity. In the article, the causes of climate change, its social consequences, and the ways to eliminate the problem are analyzed. Here, the mentioned problem is approached with the method of historical comparison and double comparison, and the necessity of global cooperation in solving the problem is emphasized. Today, the leading countries responsible for the fate of the world must be sincere in their efforts to eliminate the factors that cause climate change, think in one way, speak in one way, and act in one way. Imitation of action will not allow to achieve the declared goals, it can lead the world to irreversible disasters. More effective educational measures should be taken for the ecological education, morality, and culture of the human race. It is an imperative to form an international organization that is responsible for the fate of the world, formed on representative bases, based on the principle of objective, honest, social justice, guided by international law, and has the practical imperative power of the decisions it will make. Protection of the world house is possible with the joint effort of every inhabitant of this house.

Hierarchically Positioning Laparoscopic Microwave Ablation in the Therapeutic Span of Early Hepatocellular Carcinoma: A Real-Life Comparative Analysis.

Laparoscopic microwave ablation (LMWA) has yet to gain a specific place in treatment guidelines for early hepatocellular carcinoma (HCC). This study compared the outcomes of LMWA and trans-arterial chemoembolization (TACE) for early non-resectable patients with HCC, taking percutaneous radiofrequency ablation (PRFA) as the reference treatment. A retrospective multicenter observational study was conducted, enrolling non-transplantable, non-resectable patients who had early HCC treated with LMWA (n = 658) from Padua and Milan centers, and with PRFA (n = 844), and TACE (n = 425) from the ITA.LI.CA multicenter database. The matching-adjusted indirect comparison (MAIC) method was used to obtain weighted LMWA and TACE populations similar to the reference PRFA population. Laparoscopic ablation showed an excellent safety profile, and MAIC-weighted early postoperative deaths were comparable among the groups. The MAIC-weighted overall survival was similar between the LMWA (1-, 3-, and 5year survival of 91.0 %, 67.9 %, 47.0 %, respectively) and PRFA (1-, 3- and 5year survivals of 90.0 %, 64.7 %, 46.6 %, respectively) groups (p = 0.678) and significantly better for the LMWA group than for the TACE group (1-, 3- and 5year survivals of 84.7 %, 48.8 %, 33.6 %, respectively) (p < 0.001). Weighted multivariate overall survival analysis and competing risk/subgroup analyses confirmed the non-inferiority of LMWA to PRFA and its superiority to TACE. The LMWA- and PRFA-treated patients had a significantly lower risk of HCC-related death (p = 0.004) than the TACE-treated patients (p = 0.001). Conversely, the groups did not differ significantly in terms of non-HCC-related deaths. The non-inferiority of LMWA to PRFA, its superiority to TACE, and its applicability to a wide range of presentations with few contraindications support its inclusion among radical therapies for treating early-HCC patients.

How penetration of e-commerce in rural areas drives consumption in China

PurposeThis paper explores how rural e-commerce drives consumption in both urban and rural residents; further, it presents evidence from the perspective of e-commerce penetration in rural areas and among farmers to assess the contribution of e-commerce to China’s economic strategy goal of fostering an economy driven by domestic demand.Design/methodology/approachData of Taobao villages from 2014 to 2021 are matched with data on prefecture-level cities. A two-way fixed effect model, instrumental variable model and group comparison method are employed to explore the role and mechanism of e-commerce penetration in rural areas in stimulating residents’ consumption through consumption propensity, purchasing power and consumer population.FindingsThe findings confirm that e-commerce penetration of rural areas can stimulate residential consumption, and residents generally adhere to the consumption concept of “living within their means.” The driving effect on residents’ consumption is achieved by expanding the urban consumer population and improving the purchasing powers of both urban and rural residents. The spatial dispersion of e-commerce villages strengthens the positive impact of e-commerce penetration in rural areas on consumption; this strengthening is caused by the increasing consumer population of urban residents and the purchasing power of both urban and rural residents. The agriculture-oriented e-commerce penetration of rural areas negatively impacts residents’ consumption, consumption propensity and consumer population; however, industrial-oriented penetration positively affects residents’ consumption, consumption propensity, purchasing power and consumer population.Originality/valueTo the best of our knowledge, this paper is the first to analyze the role and mechanism of e-commerce penetration in rural areas in stimulating residents’ consumption through consumption propensity, purchasing power and consumer population. This study contributes to advancing e-commerce and consumer theory by exploring the realm of rural e-commerce while also presenting empirical evidence from China.

Patients’ Perceptions of Cannabis Contamination in Florida's Medical Program

Introduction As medical cannabis becomes more accessible, product quality must be evaluated. Researchers identified a social media community where Florida medical cannabis patients discuss personal experiences. The objective of this study was to analyze posts in this community to understand patient experience with products purchased from Florida medical dispensaries they believed to be contamination, perceptions of product quality, and desired changes to the Florida program. Methods Social networking theory acted as the underlying framework, and we employed a qualitative case study design to identify mentions of possible contamination and understand patient perceptions of contamination and the Florida medical cannabis program from the Reddit community FLMedicalTrees. The lead researcher conducted a social media analysis of posts identified as containing discussions relevant to product contamination. Constant comparison methods were used to code data, arrive at themes, and maintain validity and reliability of interpretation of coded themes. Results Of 300 post mentions of contamination, 98 posts were identified as relevant following review. Key results were: 1. Multiple mentions of possible contamination for products from medical cannabis dispensaries reported by Florida program patients. 2. Patients sought second opinions when concerned about possible contamination and shared personal experiences as well as advice on what concerned patients should do if they believe they have contaminated products. 3. Some patients expressed feelings of anxiety and worry about health, safety, and quality control, while others that described possible product contamination did not express concern. 4. Patients wanted changes regarding vertical integration, company accountability, state oversight, and home grow law. Conclusions Medical cannabis patients and providers could benefit from education on responding to possible contamination within medical cannabis products. Policymakers should consider these findings when setting regulations around contamination testing thresholds, dispensary oversight, and other regulations that directly impact patient safety like allowing patients to see products before purchase.

What hepatology clinicians and their patients with alcohol-related liver disease think of wearable alcohol biosensors to aid abstinence from alcohol: A qualitative study.

We aimed to determine acceptability and feasibility of innovative wearable alcohol biosensor monitors (ABM) for patients with alcohol-related liver disease (ALD) and their clinicians. Patients and clinicians at a tertiary care centre participated in qualitative interviews on usability, acceptability, feasibility, efficiency/effectiveness, impact of device on behaviour/clinical practice and preferences/barriers. Interviews were audiotaped, transcribed and coded using a constant comparison method for category themes. Patients (n = 23) were 56% female, mean 44 years old, 87% White, with moderate-severe liver disease. Some felt the ABMs appearance was unappealing; others felt it provided an opportunity for openness and education of others. While some found it feasible to wear, others felt it was unrealistic to wear 24/7. Importantly, there were many positive themes on effectiveness/efficiency-participants felt the ABM could better record their alcohol use and patterns of use than they could remember. Patients felt wearing the ABM motivated abstinence, gave accountability and was a source of security. Clinicians (n = 13) were mostly hepatologists (77%), seeing on average 38 ALD patients/month. Clinicians felt seeing patterns and amounts of alcohol use could inform clinical decision making and treatments but expressed concern over the volume and complexity of data. Perspectives on ABMs for managing ALD were mixed among patients and providers. Future device designs may overcome acceptability barriers due to device appearance. However, for clinicians, the logistics of data gathering plus the complexity and volume of data produced by the ABM device requires considerable thought to make this an efficient tool for clinical use. gov identifier NCT03533660: Alcohol biosensor monitoring for alcohol liver disease.

Balance Strategy Prediction Model Based on Power Load Data Mining

To meet the purpose of a multi-objective solution, a scheme is introduced into the optimal strategy-intensive training process. It supports a multi-task-driven computing model and has good reasoning accuracy, which makes the hydropower management system have efficient collaborative strategy prediction ability. Aiming at the trade-off problem between the cost-benefit and energy load of the hydropower control system, based on the neural network model to improve the stacked sparse denoising auto encoder second-order cone programming (SSDAE-SOCP) algorithm, a low-level backtracking depth uncertainty optimization scheduling model is proposed to obtain the optimal scheduling strategy. It intends to improve the poor accuracy of the global optimal results caused by the lack of priority sampling in the traditional strategy. The feature space without boundary conditions is set to solve the optimal solution for global/local organizations. Further, the flexibility is transferred according to the single-core function of task decomposition for improving the calculation accuracy of the whole solution data and the dynamic double-mutation balance. Simulation results have shown that the proposed algorithm enhances the training quality and performance by 9.5% and 15.2% compared with the traditional MOPSO and MOIMPA algorithms. Gradient descent and convergence speed, as well as the stability and security of intensive training, are better than the comparison methods. The training features verify the stability of the balanced prediction model, showing its importance in enhancing the anti-noise ability of the matrix. The research results can further enhance the multiple dispatching and command capabilities of the hydropower projects, providing technical support for the sustainable development of maximizing the benefits for the systems.

Optimized Evaluations of Irrigation Profits and Balance of Irrigation Water Demand and Supply Under Climate Change

Optimizing irrigation profit is essential for enhancing agricultural productivity and ensuring sustainable water resource management, especially under the uncertainties caused by climate variability. It signifies that maximizing irrigation profits has become the primary consideration of current agricultural irrigation systems. By discussing the change in irrigation profits with irrigation fraction , which represents the proportion of irrigated farmland per unit area of cultivated land, a new method of qualitative diagnosis of irrigation supply and demand balance was proposed by means of the optimal irrigation fraction corresponding to the objective function and the correlation coefficient between irrigation water demand anomalies and irrigation water withdrawal anomalies (). It will serve as a new attempt to optimize irrigation profits. We argue that the optimal objective function represents the state of equilibrium of irrigation supply and demand. This study proposes a reverse optimization idea, which includes two comparison methods, to estimate the comprehensively optimal irrigation fraction that maximizes irrigation profits and irrigation profit per unit area while minimizing risks associated with climatic anomalies. By demonstrating that performs exceptionally well in meeting the objectives of maximizing irrigation profits and minimizing risks across various climatic scenarios, we suggest a robust method for optimizing irrigation profits, which simply calculates because is the function of . Since could capture the optimal solution to the greatest extent. It can serve as a simple and effective solution to determine the optimal objective function and diagnose the state of balance between irrigation water demand and supply. This method offers practical implications for water resource management and agricultural planning in the face of climate change.

Connecting and Parzelled Constructions Located After The Full Stop as a United Structural-Semantic Formation of the Russian Language

Such means of expressive syntax as connecting and parceled constructions were discussed in the article. Discussion questions were presented. In particular, the issue of the proximity of adjunction and parcellation, the status of adjunct constructions located outside the main sentence after the period, was considered. Using methods of description, observation, comparison, analysis and synthesis, the author offers an original understanding of the essence of connecting and parceled structures. They are still interpreted ambiguously in the linguistic literature. Much attention is paid to the criteria for their delimitation and analysis of the famous postulate of V.V. Babaytseva. Contrary to the opinion of the professor and her supporters, the author is convinced that there is no annexation without dismemberment and, conversely, dismemberment without annexation. These are interdependent processes that cannot exist one without the other. The author believes that the formation of parceled structures takes place in four stages, which are determined by short, intensive procedural actions. In the composition of parceled structures, as research shows, two varieties are clearly visible: a) parceled structures and b) parceled connecting structures. The scientific value of the work lies in the proof of the closeness of connecting and parceled constructions, supported by both the methods of their formation and semantics. The practical significance of the study lies in the possibility of using its results to analyze specific language material, including in the process of teaching Russian language to students at Kazakh universities. The conclusion that connecting and parceled constructions located outside the main sentence, after a period, should be considered as a single structural-semantic formation of the Russian language was made.

A Model for Defining the Boundaries of Complex Sentences and Clauses in English Translation Based on the Huffman Tree and Objective Function

To address the issues of high redundancy in sentence features and poor semantic similarity analysis in English translation, a boundary definition model for complex sentence clauses in English translation based on the Huffman tree and objective function is proposed. This model analyzes the boundary structure of complex sentences and clauses in English translation, determines the mathematical expected value of the probability distribution of boundary features, introduces the maximum entropy model to assess the key degree of different features, and utilizes conditional random fields to mine hidden features. Additionally, by employing a hierarchical clustering algorithm to analyze the distance between boundary features of complex sentences and clauses in English translation, similar images are merged based on the minimum distance between data points. Feature redundancy scores are obtained through an attention mechanism, and the weight of boundary features of complex sentences and clauses in English translation is calculated. By using the edit distance in semantic similarity to determine the boundary distance of clauses, and then using cosine similarity to calculate the similarity between the boundary features of complex clauses in English translation, a Huffman tree and objective function are introduced to construct a model for defining the boundary of complex clauses in English translation. Input the boundary feature values of complex sentences and clauses in English translation to complete the final definition. The experimental results show that the proposed method performs well in the task of defining the boundaries of complex sentences and clauses in English translation, with semantic similarity analysis results remaining above 95% and reaching up to 99%, significantly better than the comparative methods. Meanwhile, the recall curve obtained by the proposed method is closest to the ideal curve and has a small fluctuation range, stable between 90% and 98%, further verifying its accuracy and robustness in boundary delineation. In addition, when the sample data size is 1000, the confidence level of the proposed method is as high as 99.6%, which is higher than the 95.6% and 95.1% of the comparison methods. As the sample size increased to 2500, the confidence level of the proposed method remained at a high level of 99.4%, while the confidence level of the comparative method decreased to 94.2% and 94.1%, respectively. These data results fully demonstrate the effectiveness of the proposed method in reducing redundant interference and improving confidence. In summary, the proposed method has improved the performance of defining the boundaries of complex sentences and clauses in English translation.

Precise Authentication Watermarking Algorithm Based on Multiple Sorting Mechanisms for Vector Geographic Data

Symmetry-breaking in security mechanisms can create vulnerabilities which attackers may exploit to gain unauthorized access or cause data leakage, ultimately compromising the integrity and security of vector geographic data. How to achieve tamper localization remains a challenging task in the field of data authentication research. We propose a precise authentication watermarking algorithm for vector geographic data based on multiple sorting mechanisms. During the watermark embedding process, a sequence of points is initially extracted from the original data, followed by embedding watermarks into each coordinate point. The embedded watermark information consists of the self-identification and ordering information of each coordinate point. Ordering information is crucial for establishing relationships among points and enhancing tamper localization. During the authentication phase, the extracted watermark information is compared with the newly generated watermark information. Self-identification information is used to authenticate addition attacks, while ordering information is used to authenticate deletion attacks. Experimental results demonstrate that the proposed algorithm achieves high precision in detecting and localizing both addition and deletion attacks, significantly outperforming the comparison method.

On the issue of strengthening the food security of the regions by stimulating import substitution

The relevance of the research topic is due to the fact that food security is the most important factor in preserving the statehood and sovereignty of the country, one of the main structural units of socio-economic policy, a necessary condition for the implementation of the strategic priorities of the state, which consist in significantly improving the quality of life of the Russian population through guaranteed living standards.The purpose is to analyze the state policy to stimulate import substitution in the field of strengthening food security based on the assessment of the current state of food security in Russia.Objectives: to characterize the structure, criteria and levels of food security of the regions and the state as a whole; to assess the current state of food security in Russia; to identify the problems of ensuring food security associated with the risks and barriers to the implementation of Russia's food policy; to consider the directions of import substitution as a mechanism for strengthening the food security of the regions and the state.Methodology. In the processing of factual material, traditional scientific approaches were used – dialectical and systemic. The methods of comparison, statistical analysis and ranking were used as research tools.Results. Based on the assessment of the state of food security in Russia in dynamics, it is proved that the government of the Russian Federation has set the regions the task of ensuring the country's food security in advance, before the start of the implementation of the package sanctions policy of the West. This made it possible to implement some areas of import substitution in the agro-industrial complex in the first place.Conclusions. However, the volume of sanctions restrictions that began against Russia in February 2022 again raised the question of strengthening the country's food security. The government began to introduce various financial, logistical and other mechanisms to strengthen food security, but the greatest emphasis was placed on the continuation and deepening of the import substitution policy.

High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning

Physical unclonable function labels have emerged as a promising candidate for achieving unbreakable anticounterfeiting. Despite their significant progress, two challenges for developing practical physical unclonable function systems remain, namely 1) fairly few high-dimensional encoded labels with excellent material properties, and 2) existing authentication methods with poor noise tolerance or inapplicability to unseen labels. Herein, we employ the linear polarization modulation of randomly distributed fluorescent nanodiamonds to demonstrate, for the first time, three-dimensional encoding for diamond-based labels. Briefly, our three-dimensional encoding scheme provides digitized images with an encoding capacity of 109771 and high distinguishability under a short readout time of 7.5 s. The high photostability and inertness of fluorescent nanodiamonds endow our labels with high reproducibility and long-term stability. To address the second challenge, we employ a deep metric learning algorithm to develop an authentication methodology that computes the similarity of deep features of digitized images, exhibiting a better noise tolerance than the classical point-by-point comparison method. Meanwhile, it overcomes the key limitation of existing artificial intelligence-driven classification-based methods, i.e., inapplicability to unseen labels. Considering the high performance of both fluorescent nanodiamonds labels and deep metric learning authentication, our work provides the basis for developing practical physical unclonable function anticounterfeiting systems.

Congestion control in internet of things (IoT) using auction theory

The Internet of Things (IoT) facilitates data transmission through communication networks, preventing congestion when input data rate exceeds output, and congestion control in computer networks modulates traffic entry. This paper proposes a fusion of auction theory with reinforcement learning as a means of managing congestion in the IoT. The proposed technique seeks to enhance network performance by utilizing object trustworthiness evaluation and auction-based route selection to manage congestion during data routing. The suggested method calculates the believability of objects by analyzing their historical performance in data forwarding and congestion avoidance, utilizing a learning automaton. The auction approach is employed to determine the most efficient ways for transmitting data. The IoT topology is initially organized into a collection of dependable links known as the Connected Dominating Set (CDS). Active objects employ the learning automata model to assess the reliability of their neighbors. The auction model ultimately chooses the optimal route based on characteristics such as credibility, energy, and delay. The experimental results demonstrate that the proposed methodology surpasses existing comparison methods in the initial scenario, exhibiting a 24.13% reduction in energy usage.