bluuebunny/crossref_metadata_2025 huggingface dataset:
ACCOUNTING POLICY AS A TOOL FOR MANAGEMENT OF NON-FINANCIAL ASSETS OF STATE INSTITUTIONS
Authors:   Kyiv National Economic University named after Vadym Hetman, Tsiatkovska Olena
Published: November 2023

The article examines the accounting policy as one of the elements of the organization of accounting in state institutions, as well as the relationship between the formation of the accounting policy and the main elements and effectiveness of the management of the integral accounting system of non-financial assets of state institutions. The purpose of this article is to study the accounting policy, as the main element of the organization of accounting in state institutions, as well as the relationship between the formation of accounting policy and the effectiveness of managing the integral system of accounting of non-financial assets of state institutions. The economic essence of the accounting policy was studied and analyzed in accordance with scientific and legal sources. It has been established that the accounting policy is one of the important documents of each institution, which defines the main methods, methods and techniques of accounting and reporting. A comprehensive approach to the formation of accounting policy regarding non-financial assets of state institutions has been formed and substantiated, which involves the analysis of the main factors that influence the formation of accounting policy with the determination of their features and impact on the institution's activities. Since the accounting policy and the validity of the application of methods, methods and techniques during accounting has a significant impact on the effectiveness of the functioning of the public sector institution. The accounting policy of state institutions is formed under the influence of various factors, both external and internal, which form organizational and information support. To substantiate the choice of the optimal model of accounting policy formation regarding non-financial assets of state institutions, taking into account internal, external, general and special factors of organizational and information support, which will ensure the formation of an effective and integrated accounting system of non-financial assets.
ECONOMIC ANALYSIS OF THE REAL ESTATE MARKET: GENERAL APPROACHES AND APPLICATIONS FOR THE UKRAINIAN MARKET
Authors:   KROK University, Radionova Iryna , Pita Yurii ,   KROK University
Published: November 2023

This article presents the results of investigation the general approaches to real estate market analysis. The attemption of economic analysis of the Ukrainian real estate market was made. The authors assumed the importance of applying the main provisions of the general theory of markets in the economic analysis of the real estate market. The key factors affecting the demand in the real estate market are identified. They include the general level of well-being (income) of citizens, the equality/inequality of income distribution in society, the level of liquidity and profitability of the alternative to real estate another assets, conditions of bank lending for purchasing real estate, methods (algorithms , instruments, rules) of valuation the real estate, dynamics of the national currency exchange rate, activity of market agents who work on behalf of buyers. Identified key factors affecting supply on the real estate market, including: economic potential of construction and development companies, price level for construction materials and repair work, conditions of bank lending to developers and investors, methods (algorithms, instruments, rules) real estate objects evaluation, dynamics of national currency exchange rate, the activity of market agents who work on behalf of real estate sellers. Objective reasons for state regulation of the real estate market are singled out. The dynamics of the indicator of the number of transactions on the Ukrainian real estate market were analyzed and the fact of cyclical changes of this indicator under the influence of the psychological factor was clarified. The dynamics of changes in the general level of prices on the Ukrainian market were studied and the fact of a certain stability in changes of the price rate growth was clarified. Some problems of real estate market analysis related to the lack of statistical information necessary for meaningful economic analysis of this market are outlined.
SCIENTIFIC AND PRACTICAL TOOLKIT FOR ASSESSING THE LEVEL OF DIGITAL TRANSFORMATION, INNOVATIVE DEVELOPMENT OF THE ECONOMIC SECURITY SYSTEM OF COMPANIES IN THE SPHERE OF INFORMATION TECHNOLOGIES
Authors:   KROK University, Pravdyvets Oleksandr
Published: November 2023

The article discusses the scientific and practical tools for assessing the level of digitalization, innovative development of the system of economic security of enterprises in the sphere of information technology. The task of rating the indicators of evaluation of innovative development of the system of economic security of enterprises has been solved. The use of cognitive information technology POLYHEDR as a software platform for the formation of an information-analytical assessment system has been adapted. To conduct the study, general methods of analysis and synthesis research, methods of mathematical modeling, methods of quantitative and qualitative assessment, cognitive, systemic, structural and other scientific approaches were used. As a result of the study, a description of the subject areas in an ontological form and the processes carried out within the framework of the tasks is carried out; structuring of large arrays of weakly structured information with the presentation of results in an ontological form is carried out; transdisciplinary integration of large arrays of spatially distributed information (both structured and unstructured) is ensured; formation of specialized user interfaces for displaying information in a form convenient for perception within the framework of a specific task; made it possible to solve analytical problems with the formation of generalized descriptions (models) of classes of objects on the basis of samples for training, classification of objects, prediction of properties of objects. The use of scientific and practical tools for assessing the level of digitalization, innovative development of the system of economic security of enterprises in the field of information technology solved the problem of information support for managerial decision-making and made it possible to assess digitalization and innovative development of the system of economic security of enterprises.
THE RELEVANCE OF RESEARCH THE PROGRESS ON THE APPLICATION OF MUSHROOM IN MEAT PRODUCTS PROCESSING
Authors:   Dmytro Motornyi Tavria State Agrotechnological University, BANDURA Iryna , KOSHEL Olena ,   Sumy National Agrarian University
Published: November 2023

In this article, the function of mushrooms and the progress of their application in meat processing were introduced. According to the last research, some types of meat products contain more saturated fatty acids, cholesterol, sodium salt, phosphate, nitrite and other components, and excessive intake of these components may lead to obesity, cardiovascular disease, cancer and a series of diseases. So, the food industry is redesigning existing products or developing new ones that are healthier and more sustainable, and shifting to focus on the application of plant ingredients. Attention is drawn to the fact that more and more studies have been conducted to improve the nutritional and functional properties of food by adding vegetables, beans, cereals, tubers, edible seeds, algae or insects as substitutes for fat, protein and salt. Mushrooms has attracted much attention because of its high nutritional value, wide variety of bioactive compounds, antioxidant effect and health function, and excellent flavor and taste, mushroom can provide exogenous active substances for meat products and improve the nutritional value and functional properties of meat products. The application progress and development prospect of mushroom as fat substitute, protein substitute, salt, phosphate and nitrite substitute, flavor additive and antioxidant in meat products were analyzed. There is a lack of research on the health function of mushroom in meat products, and the potential effects and mechanisms of mushroom applied to meat products on human health and health function need to be further explored in the future. The results showed that the application of mushrooms in meat processing meets people’s requirements for green, healthy and functional food industry. Mushrooms are a promising functional additive in meat processing.
PECULIARITIES OF DEVELOPMENT OF CITIES IN THE NORTHERN BORDER REGIONS OF AZERBAIJAN AND THE REGULATION OF THEIR DEVELOPMENT
Authors:   Institute of Geography of the Azerbaijan National Academy of Sciences, ABDULLAEVA Gulnara Islam
Published: November 2023

The aim of the article is to investigate the features of the demographic and socio-economic development of cities in the northern border areas of Azerbaijan (Sheki, Zagatala, Gakh, Balaken, Gabala, Oguz, Khachmaz, Husar), to determine the direction of their perspective regulation in accordance with the trends that are taking place. Methods and methodology. The article uses such methods as historical overview, analysis of statistics of different periods, comparative analysis and descriptive method of demonstration of geographical objects. The study deals with taking into account the geostrategic significance of population resettlement in border areas, the importance of ensuring their economic, social and ecological development, regulating population migration processes, creating new jobs and implementing other social programs. The novelty of the article is that the directions of the demographic, socio-economic development of the cities are actually substantiated not only as the main supporting frames of the region, but also in terms of national interests, geopolitical and strategic situation. The article also identified socio-economic, natural-geographic, and other issues. factors affecting the location of cities in the northern border areas. mostly became possible during the years of Soviet power. The study says that cities are the largest economic centers of the country and the main centers of population settlement. The article scientifically analyzes geographical problems in Azerbaijan. Clarified features of Rego. It is concluded that it is clear from the article that scientific analyzes corresponding to geographical changes should be increased, such issues are considered comprehensively and universally in research. Conclusions. The study says that cities are the largest economic centers of the country and the main centers of population settlement. Before the establishment of Soviet power in Azerbaijan, only the cities of Sheki and Zagatala existed on this territory. Although these two settlements have long been formed as cities, they acquired city status only in 1840. And the cities of Balaken, Gakh, Gabala, Husar, Khachmaz, Oguz and other settlements located on the territory of administrative districts were created during the years of Soviet power and acquired the status of cities and towns. In general, the economic and geographical analysis of the development of the cities of the northern border regions allows us to reach the following conclusions and put forward a number of proposals: – in the creation of urban settlements and the formation of their modern system, the leading role was played by the organizational-economic, social-administrative management function that they perform for the surrounding territories; – Another city-forming factor is the food industry, which is represented by small-scale enterprises that mainly rely on the processing of local agricultural raw materials.
METHODOLOGICAL APPROACHES TO ASSESSING THE LEVEL OF MANAGEMENT OF ECONOMIC SECURITY OF ENTERPRISES
Authors:   National University of Life and Environmental Sciences of Ukraine, VYTVYTSKA Olha , SLYVINSKA Oksana ,   SE NULES of Ukraine «Brzezany Agrotechnical Institute»
Published: November 2023

The article presents the results of research on the generalization and formation of the main provisions of methodological approaches to the assessment of the level of management of the economic security of enterprises in accordance with modern globalization changes. Criteria for assessing economic security have been determined. It is noted that the development of the system of criteria and parameters characterizing the degree of protection of the enterprise from negative influences is based on a number of proposed principles. The comparative characteristics of the methods of quantitative assessment of the level of threats based on the conditions of application, assessment, accuracy of assessment, costs, accounting for the impact of individual threat factors have been carried out. It is justified to use an approach that reflects the principles and conditions of program-target management and development, which is based on the integration of a set of indicators that determine economic security, to assess the economic security of the enterprise. It was concluded that in an effort to assess the state of such a complex technical and economic system, which is a modern enterprise, which functions in the conditions of the interaction of many internal and external factors, which often have an unpredictable effect on the process of development, production and sale of products, only based on formalized calculations can lead to results that are completely inconsistent with the real state of the enterprise and its development prospects. The proposed model of the interaction of components for assessing the level of management of economic security of enterprises, as a basis for making appropriate management decisions. as well as assessments of the company’s priorities based on the analysis of the state of the level of economic security of the company. In order to adapt the process of economic security management to changing conditions, it is necessary to carry out an effective analysis of solving tasks aimed at improving the functioning of the enterprise.
УДОСКОНАЛЕННЯ ДІЯЛЬНОСТІ ФГ «ВІНАГРОДАР» НА ОСНОВІ РЕЗУЛЬТАТІВ КОМПЛЕКСНИХ МАРКЕТИНГОВИХ ДОСЛІДЖЕНЬ
Authors: ГРОМОВА Ольга , ПОПСУЙ Олексій
Published: November 2023

Сьогодні маркетингові дослідження є однією з головних функцій маркетингової діяльності будь-якого підприємства. Маркетингові дослідження забезпечують топ-менеджмент інформацією для прийняття управлінських рішень. Чим більш достовірною, точною і оперативною буде ця інформація, тим більше шансів у підприємства краще задовольнити потреби споживачів, випередити своїх конкурентів і, тим самим, досягти успіху на ринку.
Action Research: A Participatory Approach to Improve Measures of Labour Market Integration of Refugees (online first)
Authors: David Alexandra , Terstriep Judith , Steinberg Silke
Published: November 2023

This paper illustrates the benefits action research adds to successfully co-creating measures for the labour market integration of refugees. Germany has become one of the most popular immigration countries in the world. In addition to current refugee flows from Ukraine, migration from third countries such as Syria, Afghanistan and Turkey again increased in 2022. Compared to Ukrainians, who are subject to a special measure granting immediate and temporary protection in the event ofamass influx and direct access to the labour market, thirdcountry representatives still have a limited path to the world of work. Following these events, this paper is motivated by the early research on developing measures for the labour market integration of refugees in Germany. It was conducted shortly after the so-called European “refugee crises” during 2015–2017. Due to increasing refugee movements, the findings are highly topical and thus make a renewed contribution to integration policies and action research as a participatory approach.
The intra- and inter-rater reliability of measuring trunk coronal asymmetry by adjusting positioning variability: A prospective study
Authors: Cha Kyoung Hyeon , Yeo Seung Mi , Son Ju-Hyun , Kim Young-Joon , Lee Chang-Hyung
Published: November 2023

BACKGROUND: Chronic low back pain (LBP) can lead to muscle spasms, limited range of motion, and abnormal posture, resulting in trunk muscle asymmetry. OBJECTIVE: This study aimed to assess the intra- and inter-rater reliability of a quantitative measurement of trunk coronal asymmetry in patients with chronic LBP, minimizing unnecessary gravity and friction force using a manual table in the prone position. METHODS: This prospective study was conducted at a single center, targeting patients with chronic LBP to measure trunk coronal asymmetry on a manual table in the prone position. The intra-class correlation coefficient (ICC) was calculated using one-way random-effects and two-way mixed-effects models. RESULTS: Fifty-eight patients who had LBP for more than three months were enrolled from May 1, 2021, to December 31, 2021. The intra- and inter-rater reliabilities of the two examiners’ measurements were 0.872 and 0.899, and 0.852, respectively. Based on pain severity, the participants were classified into mild and severe groups, with ICCs of 0.823 and 0.889, and 0.936 and 0.918, respectively. CONCLUSION: Measurement of trunk coronal asymmetry in the prone position using a manual table demonstrates high intra- and inter-rater reliability. In addition, the reliability increases with greater pain severity.
Secreted frizzled related-protein 2 is prognostic for human pancreatic cancer patient survival and is associated with fibrosis
Authors: Siegel Julie B. , Nasarre Patrick , Hsu Lillian , Mukherjee Rupak , Gormley Meghan , Richardson Bailey , Khan Imran , Morningstar Jordan E. , Hilliard Eleanor , O’Bryan John P. , Helke Kristi L. , Spruill Laura , Dolloff Nathan G. , Klauber-DeMore Nancy
Published: November 2023

Pancreatic adenocarcinoma (PDAC) is one of the deadliest cancers, with five-year survival rates of 9%. We hypothesized that secreted frizzled-related protein 2 (SFRP2) may influence stromal growth in pancreatic cancer, since it increases fibrosis and collagen production in non-neoplastic pathologies. We assessed SFRP2 value as a biomarker and assessed its function in PDAC. SFRP2 gene expression in patients with PDAC was analyzed using TCGA data. Disease free survival (DFS) was analyzed using Kaplan Meier test. The effect of KRAS inhibition on SFRP2 expression in PDAC cells was assessed. The associations of stromal content with SFPR2 mRNA and protein with fibrosis were analyzed. The role of SFRP2 in mesenchymal transformation was assessed by western blot in fibroblasts. Of all cancers in TCGA, SFRP2 levels were highest in PDAC, and higher in PDAC than normal tissues (n= 234, p= 0.0003). High SFRP2 levels correlated with decreased DFS (p= 0.0097). KRAS inhibition reduced SFRP2 levels. Spearman correlation was 0.81 between stromal RNA and SFRP2 in human PDAC, and 0.75 between fibrosis and SFRP2 levels in PDAC tumors. SFRP2-treated fibroblasts displayed mesenchymal characteristics. SFRP2 is prognostic for PDAC survival, regulated by KRAS, and associated with PDAC fibrosis.
Predictive value for axillary lymph node metastases in early breast cancer: Based on contrast-enhanced ultrasound characteristics of the primary lesion and sentinel lymph node
Authors: Pang Wenjing , Wang Yao , Zhu Yangyang , Jia Yingying , Nie Fang
Published: November 2023

OBJECTIVE: To evaluate the value of contrast-enhanced ultrasound (CEUS) characteristics based on primary lesion combined with lymphatic contrast-enhanced ultrasound (LCEUS) patterns of SLN in predicting axillary lymph node metastasis (ALNM) with T1-2N0 breast cancer. METHODS: A retrospective study was conducted in 118 patients with clinically confirmed T1-2N0 breast cancer. Conventional ultrasound (CUS) and CEUS characteristics of the primary lesion and enhancement patterns of SLN were recorded. The risk factors associated with ALNM were selected by univariate and binary logistic regression analysis, and the receiver operating characteristic (ROC) curve was drawn for the evaluation of predictive ALNM metastasis performance. RESULTS: Univariate analysis showed that age, HER-2 status, tumor size, nutrient vessels, extended range of enhancement lesion, and the enhancement patterns of SLN were significant predictive features of ALNM. Further binary logistic regression analysis indicated that the extended range of enhancement lesion (p <  0.001) and the enhancement patterns of SLN (p <  0.001) were independent risk factors for ALNM. ROC analysis showed that the AUC of the combination of these two indicators for predicting ALNM was 0.931 (95% CI: 0.887–0.976, sensitivity: 75.0%, specificity: 99.8%). CONCLUSION: The CEUS characteristics of primary lesion combined with enhancement patterns of SLN are highly valuable in predicting ALNM and can guide clinical axillary surgery decision-making in early breast cancer.
Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting
Authors: Chen Gongguan , Wang Hua , Liu Yepeng , Zhang Mingli , Zhang Fan
Published: November 2023

With the continuous development of deep learning, long sequence time-series forecasting (LSTF) has attracted more and more attention in power consumption prediction, traffic prediction and stock prediction. In recent studies, various improved models of Transformer are favored. While these models have made breakthroughs in reducing the time and space complexity of Transformer, there are still some problems, such as the predictive power of the improved model being slightly lower than that of Transformer. And these models ignore the importance of special values in the time series. To solve these problems, we designed a more concise network named Resformer, which has four significant characteristics: (1) The fully sparse self-attention mechanism achieves O⁢(𝐿𝑙𝑜𝑔𝐿) time complexity. (2) The AMS module is used to process the special values of time series and has comparable performance on sequences dependency alignment. (3) Using quadratic linear transformation, a simple LT module is designed to replace the self-attention mechanism. It effectively reduces redundant information. (4) The DistPooling method based on data distribution is proposed to suppress redundant information and noise. A large number of experiments on real data sets show that the Resformer method is superior to the existing improved model and standard Transformer method.
Unsupervised multi-source domain adaptation for person re-identification via sample weighting
Authors: Tian Qing , Cheng Yao
Published: November 2023

The aim of unsupervised domain adaptation (UDA) in person re-identification (re-ID) is to develop a model that can identify the same individual across different cameras in the target domain, using labeled data from the source domain and unlabeled data from the target domain. However, existing UDA person re-ID methods typically assume a single source domain and a single target domain, and seldom consider the scenario of multiple source domains and a single target domain. In the latter scenario, differences in sample size between domains can lead to biased training of the model. To address this, we propose an unsupervised multi-source domain adaptation person re-ID method via sample weighting. Our approach utilizes multiple source domains to leverage valuable label information and balances the inter-domain sample imbalance through sample weighting. We also employ an adversarial learning method to align the domains. The experimental results, conducted on four datasets, demonstrate the effectiveness of our proposed method.
Analysis and comparison of various deep learning models to implement suspicious activity recognition in CCTV surveillance
Authors: Saluja Dhruv , Kukreja Harsh , Saini Akash , Tegwal Devanshi , Nagrath Preeti , Hemanth Jude
Published: November 2023

The paper aims to analyze and compare various deep learning (DL) algorithms in order to develop a Suspicious Activity Recognition (SAR) system for closed-circuit television (CCTV) surveillance. Automated systems for detecting and classifying suspicious activities are crucial as technology’s role in safety and security expands. This paper addresses these challenges by creating a robust SAR system using machine learning techniques. It analyzes and compares evaluation metrics such as Precision, Recall, F1 Score, and Accuracy using various deep learning methods (convolutional neural network (CNN), Long short-term memory (LSTM) – Visual Geometry Group 16 (VGG16), LSTM – ResNet50, LSTM – EfficientNetB0, LSTM – InceptionNetV3, LSTM – DenseNet121, and Long-term Recurrent Convolutional Network (LRCN)). The proposed system improves threat identification, vandalism deterrence, fight prevention, and video surveillance. It aids emergency response by accurately classifying suspicious activities from CCTV footage, reducing reliance on human security personnel and addressing limitations in manual monitoring. The objectives of the paper include analyzing existing works, extracting features from CCTV videos, training robust deep learning models, evaluating algorithms, and improving accuracy. The conclusion highlights the superior performance of the LSTM-DenseNet121 algorithm, achieving an overall accuracy of 91.17% in detecting suspicious activities. This enhances security monitoring capabilities and reduces response time. Limitations of the system include subjectivity, contextual understanding, occlusion, false alarms, and privacy concerns. Future improvements involve real-time object tracking, collaboration with law enforcement agencies, and performance optimization. Ongoing research is necessary to overcome limitations and enhance the effectiveness of CCTV surveillance.
Multi-feature fusion sonar image target detection evaluation based on particle swarm optimization algorithm
Authors: Lei Hongquan , Li Diquan , Jiang Haidong
Published: November 2023

Traditional sonar image target detection analysis has problems such as long detection time, low detection accuracy and slow detection speed. To solve these problems, this paper will use the multi-feature fusion sonar image target detection algorithm based on the particle swarm optimization algorithm to analyze the sonar image. This algorithm uses the particle swarm algorithm to optimize the combination of multiple feature vectors and realizes the adaptive selection and combination of features, thus improving the accuracy and efficiency of sonar image target detection. The results show that: when other conditions are the same, under the particle group optimization algorithm, the sonar image multiple feature detection algorithm for three sonar image detection time between 4s-9.9s, and the sonar image single feature detection algorithm of three sonar image detection time between 12s-20.9s, shows that the PSO in multiple feature fusion sonar image target detection with better performance and practicability, can be effectively applied to the sonar image target detection field.
A novel ensemble learning approach for fault detection of sensor data in cyber-physical system
Authors: Nandhini Ramesh Sneka , Lakshmanan Ramanathan
Published: November 2023

Cyber-physical systems (CPS) play a pivotal role in various critical applications, ranging from industrial automation to healthcare monitoring. Ensuring the reliability and accuracy of sensor data within these systems is of paramount importance. This research paper presents a novel approach for enhancing fault detection in sensor data within a cyber-physical system through the integration of machine learning algorithms. Specifically, a hybrid ensemble methodology is proposed, combining the strengths of AdaBoost and Random Forest with Rocchio’s algorithm, to achieve robust and accurate fault detection. The proposed approach operates in two phases. In the first phase, AdaBoost and Random Forest classifiers are trained on a diverse dataset containing normal and faulty sensor data to develop individual base models. AdaBoost emphasizes misclassified instances, while Random Forest focuses on capturing complex interactions within the data. In the second phase, the outputs of these base models are fused using Rocchio’s algorithm, which exploits the similarities between faulty instances to improve fault detection accuracy. Comparative analyses are conducted against individual classifiers and other ensemble methods to validate the effectiveness of the hybrid approach. The results demonstrate that the proposed approach achieves superior fault detection rates. Additionally, the integration of Rocchio’s algorithm significantly contributes to the refinement of the fault detection process, effectively leveraging the strengths of AdaBoost and Random Forest. In conclusion, this research offers a comprehensive solution to enhance fault detection capabilities in cyber-physical systems by introducing a novel ensemble framework. By synergistically combining AdaBoost, Random Forest, and Rocchio’s algorithm, the proposed methodology provides a robust mechanism for accurately identifying sensor data anomalies, thus bolstering the reliability and performance of cyber-physical systems across a multitude of critical applications.
Study of foot support during gait in healthy children from neighbouring countries
Authors: Daunoraviciene Kristina , Pauk Jolanta , Ziziene Jurgita , Belickiene Vaida , Raistenskis Juozas
Published: November 2023

BACKGROUND: Healthy children’s gait support patterns play a critical role in their development and overall well-being. Therefore, in order to develop a correct gait, it is necessary to constantly update knowledge. OBJECTIVE: To identify differences in gait support among children in neighbouring countries. METHODS: 44 healthy children from Poland and Lithuania (4–11 years old) participated in the study. The spatiotemporal and plantar pressure parameters of 88 neutrally aligned feet were analysed and compared. RESULTS: Statistically significant differences between stance, single-limb support, double support, swing duration, cadence, and velocity, max. force and pressure in the forefoot, as well as in the times of occurrence of max. forces in all three zones. Defined that age is related (p< 0.05) to cadence (R= 0.32), swing phase (R= 0.53), max. force under the midfoot (R= 0.35) and the heel (R= 0.47), max. pressure under the forefoot (R=-0.52), midfoot (R=-0.63) and heel (R=-0.47). CONCLUSION: The results can help caregivers, as well as clinicians and researchers, understand how gait mechanics change with development and the growth course of the children of that country. Also, the results are important for the analysis and comparison of children’s gait, as control reference data from the same country.
On the Wave-Particle Duality of the Photons and the Matter-Photon Particle Mixture Model
Authors: Xi Boling , Wang Shisheng
Published: November 2023

Relativistic quantum mechanics and many experimental results and observations show that electron-positron annihilation can produce photons; photon-matter and photon-photon interaction can also create electrons and positrons. The photons have no rest mass, e.g. relative to Lab frame, and always travel at the speed of light in the vacuum. In this paper, a rotational moving electric dipole model with negative and positive charges was proposed for photons. In a vacuum, the electric dipoles are moving in a twisted helical motion around their propagation axis (their center of mass). Photon particles are traveling at the speed of light along the propagation axis. This pair of negative and positive charged particles exerts both electrostatic and magnetic force on each other. Both forces are attractive and act as a centripetal force to keep the electric dipole in a continuous helical motion around the axis of rotation. With this model, the wave-particle duality of photons can be described simultaneously. The space is filled by matter (having rest mass relative to Lab frame) and photons (without rest mass); it is a multicomponent mixture fluid. In "vacuum", though there is no rest matter particle, but there are still photon gas particles, the total energy-momentum tensor should include rest matter particles and photon gas particles.
Removal of doxycycline antibiotics in water with adsorbents derived from banana peels
Authors:   Faculty of Environmental and Food Engineering, Nguyen Tat Thanh University, Ho Chi Minh City, Viet Nam, Vo Thi Dieu Hien , Nguyen Van Truc ,   Faculty of Environment, Saigon University, Ho Chi Minh City, Viet Nam, Nguyen Thi Hoa ,   Faculty of Environment, Saigon University, Ho Chi Minh City, Viet Nam
Published: November 2023

This study evaluated the antibiotic removal efficiency of doxycycline (DOX) of biochar prepared from banana peels with different temperatures. Factors affecting antibiotic adsorption (including pH, initial DOX concentration, contact time, biochar dose) were studied. The results show that biochar generated at high temperature (800 oC) and modified by KOH (BP-KOH), has higher antibiotic adsorption capacity than those at low temperature (no pyrolysis and 500 oC pyrolysis, BP and BP500 respectively). The properties of the materials were determined by the scanning electron microscope (SEM), Fourier Transform Infrared Spectroscopy (FITR), zeta potential, and Brunauer–Emmett–Teller (BET) analysis methods. The SEM image shows that the fabricated material contains many pores. FTIR spectra show that the fabricated material contains surface functional groups such as O - H, C - H, C - C, etc. The BET results show that high surface area of BP-KOH (710.214 m2/g). The DOX adsorption capacity (120 mg/L) of BP-KOH obtained a high treatment efficiency of 97.9% with an adsorption time of 1440 minutes (24 h) with an optimal pH of 6. Research results showed found that adsorbent made from banana peel has great potential in the application of antibiotic treatment in water.
Working Memory, Rumination, and Autobiographical Memory Specificity Impairment
Authors:   Psychiatry and Behavioural Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran., Rahgosha Pouria , Hadinezhad Pezhman ,   Psychiatry and Behavioural Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran., Hosseini Seyed Hamzeh ,   Psychiatry and Behavioural Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran., Abedini Ehsan ,   Psychiatry and Behavioural Science Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Published: November 2023

Objectives: Specificity impairment is a memory alteration that occurs in people with major depressive disorder (MDD). In this investigation, we intended to shine a light on obscure aspects of executive resource and capture and rumination frameworks to determine whether these theories are reliable in predicting underlying mechanisms for specificity impairment. Methods: In this correlational research, we used the convenience sampling method over two months, between January and February 2021. We administrated the digit span working memory test, ruminative response scale (RRS), and autobiographical memory interview to indicate whether working memory capacity and subtypes of rumination can predict memory specificity in people with MDD. Using RRS enabled us to determine the correlation between subtypes of rumination and memory specificity. Results: Our samples consisted of 105 adults (53 males (50.5%) and 52 females (49.5%)) with MDD. The participants’ mean age was 33.38 years with a range of 22-43 years. The results no significant difference between gender, marriage, and age groups in terms of memory specificity (P>0.05). The results of the Spearman correlation coefficient and multiple regression analysis showed that only working memory capacity can predict memory specificity (r=0.216, p<0.05). There was no significant correlation between brooding and reflection, as two subtypes of rumination and memory specificity. Discussion: In line with our results, it should be stated that depression is accompanied by executive deficits, which result in memory impairments. These impairments are due to the structural and functional alterations in the brain in the depressed group. As the Carfax model emphasized, working memory capacity is not only required to maintain, define, and hold the optimal retrieval model but it is also crucial to inhibit interfering autobiographical information. Nonetheless, neither brooding nor reflection rumination can predict memory specificity. Therefore, memory capacity is probably occupied due to ineffective search strategies, not rumination.
Re-Evaluating the Role of Attendance on Home Advantage: Evidence From an International Rugby Tournament
Authors: Dawson Peter , Downward Paul , Hogan Vincent , Massey Patrick
Published: November 2023

Abstract: Home advantage has been documented in many sports. It is hypothesized that higher attendance, likely dominated by home-team supporters, can be a source of this advantage, either through influence on match officials or by spurring the home team to greater efforts relative to the away team. We examine this latter hypothesis using a dataset of 1,030 matches over eight seasons, 2012/2013 to 2019/2020, of the Pro14, one of the three major European rugby union leagues. Our results initially display strong evidence of home advantage. However, once we control for team quality, home advantage is significantly reduced. Further, our results also indicate that home advantage is not explained by the impact of attendances on team performance (effort).
Pulp and paper mills: The original biorefineries — past performance and limitations to future opportunities
Authors: HART PETER
Published: November 2023

Pulp mills have been biorefineries since the invention of the Tomlinson recovery boiler. Unfortunately, the paper industry has done a poor job explaining that concept to the general public. A number of bioproducts in everyday use have been produced by pulp mills for several decades, and new products are routinely being developed. Modern research efforts over the last couple of decades have focused on producing even more products from pulp and paper mills through capacity enhancement and the development of value-added products and liquid transportation fuels to enhance paper mill profitability. Some of these efforts, often referred to as modern biorefineries, have focused so heavily on product development that they have ignored operating and process realities that limit the transformation of pulp and paper mills from the current limited number of bioproducts produced today to economic scale production of these value-added products. In this paper, several of these limitations are addressed. In addition, there are several supply chain, marketing, product quality, and economic realities limiting the value potential for these wholesale conversions of pulp mills into multiproduct modern biorefineries. Finally, the conservative nature and capital intensity of the pulp and paper industries provide a difficult hurdle for conversion to the modern biorefinery concept. These issues are also reviewed.
The Guidelines and Tasks of Industrial Policy of Ukraine in the Context of Wartime and in the Post-War Recovery
Authors:   The National Institute for Strategic Studies, Shevchenko Anastasiia V.
Published: November 2023

The aim of the article is to determine the priorities of industrial policy in the conditions of wartime and in the post-war recovery, to substantiate its efficient instruments for ensuring transformational changes in the economy and the formation of a qualitatively new structure of industry. The article identifies directions of transformational changes in the industry, which consist in ensuring an increase in its structure of the share of industry branches that form high added value, as well as the development of industrial processing of products that are currently exported in the form of raw materials. The necessity of determining the priorities of the State support of strategic industries of Ukraine for the transformation of the industrial structure in the post-war recovery is substantiated. The article proposes a number of measures of the State policy aimed at the regulatory and legal consolidation of the lists of strategic industries and industrial enterprises of Ukraine, maintaining the adaptability and functionality of production chains in strategic industries, laying the financial foundation for the formation of growth points in the strategic industry branches. As the priorities of stimulating industrial processing are defined the processing of agricultural, mineral, both metal and secondary raw materials. Fostering the processing of agricultural raw materials involves stimulating domestic production and the use of equipment for the food processing industry, the formation of cooperatives for the production of finished food products by small and medium-sized enterprises. The implementation of the potential for the processing of mineral and metal raw materials will be ensured by the development of partnership with the EU in the field of critical raw materials, the promotion of attracting international investment in the industry with the provision of their control by the State authorities. Stimulating the recycling requires the identification of promising areas of recycling for the production of final industrial products, the use of available recycling facilities for the processing of waste generated as a result of the war.
The Conceptual Model for Assessment and Analysis of the Information Component of the Economic Security of Enterprise
Authors:   V. N. Karazin Kharkiv National University, Babichev Anatoliy V. , Samorodov Borys V. ,   V. N. Karazin Kharkiv National University
Published: November 2023

The article is devoted to the topical and important problem of ensuring the economic security of enterprise (ESE). It is substantiated that most enterprises do not have a formal comprehensive strategy of economic security or it is often fragmented and does not meet the real needs of the enterprise. To solve this problem, it is proposed to create a comprehensive system of economic security of enterprise, which would consist of various levels of protection, be constantly updated and monitored, and meet current threats. The article notes that the information component of the economic security of enterprise is one of the most important, and the study of the information component of the system of economic security of enterprise is a complex and multifaceted task, and at the same time important for the successful functioning of enterprises and the economy of the country. In view of this, the article develops conceptual models for assessing and analyzing the economic security of enterprise and evaluating the information component of the system of economic security of enterprise, which will improve the quality of managerial decisions on assessing the state of economic security of enterprise. The conceptual model of assessment and analysis of economic security of enterprise consists of two blocks: the first block is intended for the formation of a system of indicators for assessing economic security; the second block is intended for the development of models for assessing and analyzing the economic security of the enterprise. The conceptual model of assessment and analysis of the information component of the economic security of enterprise consists of a block for determining the main indicators of performance and the state of the ESE and its information component, and a block for assessing and analyzing information security, with the help of which a general assessment of the information component is carried out, and further on, a block for making decisions to support the information security of the enterprise. The study builds an information system for managing information security using the BRwin software, which helps to create a complex model of business processes. The built model can become the basis for organizing the information security systems for enterprises.
Diagnostics of the Level of Transparency of Enterprise Development in the Context of Investment Activity of the Economic Environment: The Methodological Aspect
Authors:   Ukrainian Engineering and Pedagogical Academy, Zaitseva Anna S.
Published: November 2023

It is determined that the diagnostics of the level of transparency of the development of industrial enterprises, taking into account their investment activity, consists in that that in conditions of uncertainty of the external context and the emergence of a tendency to decline in the level of development it is necessary to adjust the tactics of management activities regarding the use of diagnostic instrumentarium with the already accounted manifestation of crisis phenomena in strategic periods, to accumulate financial resources in order to successfully counter the losses caused by the crisis situation: ergo, it is advisable to predict, diagnose and prevent the consequences of the financial crisis. It is concluded that the need to improve the methodological approach to assessing the level of transparency of development of industrial enterprises, taking into account the investment activity of the economic environment, is due to that that diagnostics of the level of transparency of development reduces the probability of emergence and development of crisis phenomena in the process of production and economic activity of enterprises. On the basis of the results of the aforementioned diagnostics, the negative consequences of the financial risks of enterprise are revealed, possible ways to increase the level of development are elaborated, a strategy for achieving transparency of enterprises development in the context of convergence of investment processes is built. This enables to prepare in advance options for strategically rational decisions on both the emerging and the forecast changes in resource prices, changes in own and in borrowed funds, to adjust plans for production, obtaining loans, and changes in selling prices. Also to forecast the onset of moments of destabilization of production (occurrence of crisis factors) and to use interactive innovation and investment management as the most optimal type of relevant management in order to prevent the development of crisis at industrial enterprises.
A Conceptual Approach to the Adaptation of Economic Security of Enterprise
Authors:   National Aviation University, Kalyniuk Viktor Ye.
Published: November 2023

The article considers the components of adaptive systems in improving economic security at enterprises, the changes of which are based on: taking into account market factors; adaptation of the production process to the diversity of business environment conditions; strategies for maneuvering during the allocation and reallocation of resources; consistency of strategy, tactics and operations in optimizing the capital structure; ability to function effectively. It is noted that in the process of adaptation of economic security, it is important for an enterprise to ensure the use of adequate resources for the implementation of the developed set of proactive, protective, and adaptive strategies. It is underlined that ensuring the economic security of enterprise during a crisis requires planning, strategic thinking, readiness for change, and effective impact on resources. The implementation of these aspects helps to reduce risks and supports the resilience of the enterprise in difficult operating conditions. It is substantiated that the proposed approach also allows to determine homeostasis and homeorhesis for adaptation of economic security of enterprise in order to avoid contradictions between certain stages in the development of a conceptual approach. The proposed conceptual approach to adaptation of economic security of enterprise is based on the development and implementation of a systematic action plan aimed at ensuring stability, endurance and success of enterprise in rapidly changing economic conditions. It consists of three successive stages: determination of the prerequisites for choosing the adaptation of the economic security of enterprise (furthermore: ESE); assessment of the current level of the ESE; identification of the type of adaptation of the ESE and substantiation of the adaptive model.