bluuebunny/crossref_metadata_2025 huggingface dataset:
A Systems Approach to Identifying Hazards in the Management of Stream Buffers for the Protection of Drinking Water Quality
Authors: Merrett Hew Cameron , Horng Jao-Jia
Published: November 2023

In drinking water catchments, exploiting ecosystem services provided by stream buffers has the potential to complement conventional engineering solutions such as water treatment and reduce the overall public health risks to consumers. These stream buffers interrupt the movement of contaminants and sediments from non-point source sources, such as agricultural land, to surface waters. Effectively managing stream buffers can be challenging due to the complexity and diversity of factors that can directly and indirectly impact efficacy. This study uses System Theoretic Process Analysis (STPA) and Early Warning Signal Analysis based on STPA (EWaSAP) methodology to systematically examine the sociotechnical structures for managing stream buffers in surface water catchments using a theoretical scenario representative of typical surface water supplies. The combination of STPA and EWaSAP provides a practical approach for developing requirements for stream buffers in drinking water catchments, focusing on hazard assessment and management measures. The evaluation considers the complex management arrangements for land uses within catchment areas. The performance and effectiveness of these actions can be tracked through the selected sensors and early warning measures. As a practical matter, this approach would help specify requirements for catchment management and drinking water source protection that can be systematically integrated into relevant management strategies.
A Review of Non-Destructive Techniques for Lithium-Ion Battery Performance Analysis
Authors: Chacón Ximena Carolina Acaro , Laureti Stefano , Ricci Marco , Cappuccino Gregorio
Published: November 2023

Lithium-ion batteries are considered the most suitable option for powering electric vehicles in modern transportation systems due to their high energy density, high energy efficiency, long cycle life, and low weight. Nonetheless, several safety concerns and their tendency to lose charge over time demand methods capable of determining their state of health accurately, as well as estimating a range of relevant parameters in order to ensure their safe and efficient use. In this framework, non-destructive inspection methods play a fundamental role in assessing the condition of lithium-ion batteries, allowing for their thorough examination without causing any damage. This aspect is particularly crucial when batteries are exploited in critical applications and when evaluating the potential second life usage of the cells. This review explores various non-destructive methods for evaluating lithium batteries, i.e., electrochemical impedance spectroscopy, infrared thermography, X-ray computed tomography and ultrasonic testing, considers and compares several aspects such as sensitivity, flexibility, accuracy, complexity, industrial applicability, and cost. Hence, this work aims at providing academic and industrial professionals with a tool for choosing the most appropriate methodology for a given application.
Current legal status and regulation of placement, operation and protection of forest belts
Authors:   Land Law Department, State University of Land Use Planning, Moscow, Lipski S. A. , Konokotin D. N. ,   Land Law Department, State University of Land Use Planning, Moscow
Published: November 2023

The purpose of the article is to investigate what legal status has been established for protective forest belts on agricultural lands. The authors described how the relevant legislation has developed, what gaps and conflicts it has, and what problems arise in law enforcement practice. The paper gives the arguments why such belts shouldn’t have the status of woody vegetation, but forest. It is concluded that the protective forest belts and the corresponding lands should remain state property.
Strategy for the Development of the Export Potential of the Russian Federation in the Field of Energy Resources
Authors:   Moscow State Institute of International Relations of the Ministry of Foreign Aff airs of Russia (MGIMO University), Moscow, Tebekin A. V. ,   Lomonosov Moscow State University, Higher School of Cultural Policy and Management in the Humanitarian Sphere, Moscow, Allayarova N. I. ,   Samara State University of Economics, Samara
Published: November 2023

The relevance of the presented study is determined by the fact that the currently implemented export-oriented raw material model of the economy cannot effectively counteract the negative geopolitical and economic conditions, which requires a regrouping of factors, sources and driving forces that determine the socio-economic development of the country, including in the fi eld of energy resources. The paper reveals trends that require consideration in the development of the export potential of the Russian Federation in the field of energy resources. The existing methodological base for research on the impact of exports on the socio-economic development of national economies is analyzed. Unresolved problems of managing the formation and implementation of the export potential of the Russian Federation in the fi eld of energy resources are identifi ed. The results of the formation of an algorithm for determining the ways to develop a rational version of the strategy for developing the export potential of the Russian Federation in the fi eld of energy resources, including: a block of studying the theoretical and methodological foundations for developing the export potential of the state; block of analysis of possible options for strategies for developing the export potential of the Russian Federation in the fi eld of energy resources; block for determining a rational variant of the strategy for developing the export potential of the Russian Federation in the fi eld of energy resources. It is assumed that the implementation of this algorithm will make it possible, on the basis of determining a rational variant of the strategy for developing the export potential of the Russian Federation in the fi eld of energy resources, to increase the efficiency of the socioeconomic development of the country as a whole.
Neuromarketing as a Tool for Promoting Injection Medicine Services in Rus
Authors:   Lomonosov Moscow State University, Moscow, Sarkisyan A. V.
Published: November 2023

Considering neuromarketing as a tool for promoting injection medicine services in Russia, the study provides an interpretation of the concept of "strategies for promoting injection medicine services using neuromarketing", since with the development of the Internet an independent direction of digital marketing has emerged, which provides significantly more opportunities for promoting goods and services than traditional marketing. The features of the use of neuromarketing technologies in strategies for promoting injection medicine (IM) services are determined. The study of customer preferences does not stand still; neuromarketing and new technologies for tracking consumer behavior by reading emotions and reactions to products or advertising help companies deeply study needs and create what people want. In retail outlets, tracking the customer’s journey with cameras and sensors helps identify those products that most attract the consumer’s attention. The trend that everything should be digitized is telling companies to change their mechanisms for collecting and processing consumer information. All information about the client must be digitalized in one way or another. End-to-end analytics consists of several levels: advertising, leads, sales, repeat sales. Tools are determined depending on the specifi cs and size of the company. PR and promotion is a technology in marketing, thanks to which public opinion about an organization, brand, and personality is formed over the long term. The goal of PR is to create a proper and mutually beneficial partnership between the company and society, providing reliable information about the company, products and services.
ARIMA-Profile of the Inflation Forecasting in the Tomsk Region Problem
Authors:   Tomsk State University, Tomsk, Shabanova E. Yu.
Published: November 2023

The inflation forecasting task is one of the key tasks for the Central Bank. Today it especially needs new approaches designed not only to serve as a tool for future inflation values predicting but also to expand knowledge about the structure of the process under study. Traditionally the Central Bank uses ARIMA time series models as a tool for infl ation forecasting. In this paper the concept of an ARIMA-profi le is introduced for the fi rst time as a set of suitable for solving a specifi c problem ARIMA-models general characteristics. Experimental confirmation of the ARIMA-profi le existence for the Tomsk region Consumer Price Index forecasting task is presented. To do this a series of experiments was conducted in each of which the models were ranked according to their predictive power. Then using heat maps and probability density diagram it was shown that all models can be divided into two groups — "suitable" and "not suitable" for the inflation forecasting problem. The ARIMA-profile was presented as a set of rules separating the fi rst group of models from the second. Such a set of rules was obtained as a result of solving the problem of classifying models into "suitable" and "not suitable" by the method of decision trees. The main template of models suitable for forecasting inflation in the Tomsk region has the ARIMA(*,*,*)(2,*,1)12 scheme. A common feature of the "best" models is the non-zero seasonal parameters P and Q and the structure of the series is such that the current inflation value is best described by the value of inflation which was observed a year ago and two years ago as well as the value of last year’s shock.
A Survey of Deep Active Learning for Foundation Models
Authors: Wan Tianjiao , Xu Kele , Yu Ting , Wang Xu , Feng Dawei , Ding Bo , Wang Huaimin
Published: November 2023

Active learning (AL) is an effective sample selection approach that annotates only a subset of the training data to address the challenge of data annotation, and deep learning (DL) is data-intensive and reliant on abundant training data. Deep active learning (DeepAL) benefits from the integration of AL and DL, offering an efficient solution that balances model performance and annotation costs. The importance of DeepAL has been increasingly recognized with the emergence of large foundation models that depend heavily on substantial computational resources and extensive training data. This survey endeavors to provide a comprehensive overview of DeepAL. Specifically, we first analyze and summarize various sample query strategies, data querying considerations, model training paradigms, and real-world applications of DeepAL. In addition, we discuss the challenges that arise in the era of foundation models and propose potential directions for future AL research. The survey aims to bridge a gap in the existing literature by organizing and summarizing current approaches, offering insights into DeepAL and highlighting the necessity of developing specialized DeepAL techniques tailored to foundation models. By critically examining the current state of DeepAL, this survey contributes to a more profound understanding of the field and serves as a guide for researchers and practitioners interested in DeepAL techniques.
Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning
Authors: Ran Shi-Ju , Su Gang
Published: November 2023

It is a critical challenge to simultaneously achieve high interpretability and high efficiency with the current schemes of deep machine learning (ML). The tensor network (TN), a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages in developing efficient “white-box” ML schemes. Here, we provide a brief review of the inspiring progress in TN-based ML. On the one hand, the interpretability of TN ML can be accommodated by a solid theoretical foundation based on quantum information and many-body physics. On the other hand, high efficiency can be obtained from powerful TN representations and the advanced computational techniques developed in quantum many-body physics. Keeping pace with the rapid development of quantum computers, TNs are expected to produce novel schemes runnable on quantum hardware in the direction of “quantum artificial intelligence” in the near future.
Using the Ellipsoid Method to Study Relationships in Medical Data
Authors: Stetsyuk Petro , Budnyk Mykola , Sen’ko Ivan , Stovba Viktor , Chaikovsky Illia
Published: November 2023

Deterioration of moral and psychological state on the background of a full–scale war is observed in many social groups. Timely detection of various types of pre–depressive states and appropriate therapy is a critically important task nowadays. In addition, an equally important task is to identify relationships between physical and psychological indicators of health. Establishing such regularities will allow detecting anxious states, avoiding direct profile testing of a patient.
The article is devoted to construction of a mathematical apparatus for predicting psychological conclusions based on cardiological data. For this, a linear regression model and the ellipsoid method are used to determine its parameters with a criterion based on least moduli method (LMM), a feature selection procedure and a metric for assessing consistency of a data set.
Material of the article is presented in 5 sections. Section 1 describes the ellipsoid method for finding parameters of linear regression with the least moduli method as a criterion in the power of p. Problem dimensions that can be successfully solved using the ellipsoid method on modern computers are indicated.
The 2nd Section is devoted to Octave program emlmp, which implements the ellipsoid method, and the results of two computational experiments with its use. The obtained results demonstrate robustness of the obtained solutions when parameter p values are close to one.
The 3rd Section describes mechanism of variable selection for the best prediction of psychological state of patients based on cardiological data. Variable selection was carried out using the Python Sequential Feature Selector procedure for predicting two psychological indicators – Beck's anxiety scale and psychologist's formalized conclusion.
The 4th Section contains the results of a computational experiment using the emlmp program with LMM and least square method (LSM) criteria for predicting a psychologist’s formalized conclusion based on 84 selected patients and 22 parameters. Obtained solutions and forecasts for comparing criteria based on LMM and LSM are given.
In the 5th Section, a metric for evaluation consistency of a data set is proposed, which allows to evaluate consistency for each parameter separately. A linear connection was found between 4 psychological parameters and the maximum accuracy of regression models with optimal number of parameters in specified models. Keywords: linear regression, convex function, ellipsoid method, least moduli method, data prediction, GNU Octave.
Review and Analysis of the Development of Artificial Neural Networks
Authors: Bilokon Oleksandr
Published: November 2023

Introduction. The creation of intelligent cyber-physical systems is impossible without knowledge of the analysis and process of development of scientific thought regarding artificial neural networks. The main task of this article is research and analysis of the concept of intelligent technologies based on artificial neural networks. Knowledge of the peculiarities of the creation, formation, and development of knowledge about artificial neural networks is of particular importance for scientists, developers, and design engineers. The article consists of the following parts: first, different approaches to the problem of building artificial functions of the brain are highlighted, the views of which are, in turn, divided into monotypic and genotypic models. The next part is the analysis of the development of artificial intelligence systems, some facts of the process of the development of the artificial intelligence system are also introduced and the peculiarities of scientific opinion on the issues of artificial neural networks are clarified. Various concepts and views are considered, with the help of which it is possible to reproduce the calculation process for a more detailed analysis and synthesis of algorithms of intelligent systems. In the part about the state of the theory, attention is focused on the fact that researchers who could not get accurate analytical answers add to the scientific toolkit methods of experimental modeling either on digital machines or on mechanical models. In addition, it is noted that the model is not the result of research, but only a starting point for analyzing its behavior. In the part of artificial neural networks, the author touches on the following concepts: the logic of McCulloch and Pitts calculations in neural networks, the problems of assigning confidence coefficients, the principle of self-organization, which were first illustrated with the help of computer simulations, the principle of competitive learning, the Kohonen Self-Organizing Maps, multilayer networks of direct propagation taking into account the radial basis functions, which became an alternative to the multilayer perceptron, the support vector machine. As conclusions and as a result, the author receives a complete picture of the genesis of intelligent systems and the technology of artificial neural networks. The processes of development of scientific thought give a clear understanding of the features of intellectual technologies built with the help of artificial neural networks, features of functioning and calculation. Keywords: artificial neural networks, perceptron, theories of McCulloch-Pitts, intelligent computer systems, cyber-physical agent, mobile robot, robotics.
Network Analysis of Golden Personality Types using Social Network Analysis
Authors:   Education Research Institute, Oh InSoo , Ban JiYoon , Son JieHyang
Published: November 2023

The purpose of this study is to examine a 2-mode network structure for the comprehensive and detailed scales of Golden personality types based on social network analysis. To achieve this purpose, the Golden Personality Type Profiler was conducted on 1,450 people in their 20s to 60s from May 8th to June 22nd, 2020. The collected result profile data was analyzed using the NetMiner 4.5 version for a 2-mode network analysis, and the personality type structure was quantified and visualized. In this process, the comprehensive scale became a node, and the detailed scale value was stored as the weight of the link. The analysis procedure was divided into data preprocessing, network analysis, and visualization steps. The results of this study are as follows: First, the most prominent personality types and detailed scales were identified according to the comprehensive scale by analyzing the degree of connection between the comprehensive scale and the detailed scale of Golden personality type; Second, through the network structure of Golden personality type, the location of connection centrality of a 2-mode was confirmed according to the comprehensive scale. This study is meaningful in that it empirically examined the network structure of Golden personality type and is expected to be used as basic data to support the results of the existing validity verification.
Left ventricular remodeling in perimenopausal women
Authors: Zelentsova Liliya R. , Kuznetsov Grigorii E. , Tenchurina Lerida R. , Mitrofanova Irina S. , Krivotulova Irina A.
Published: November 2023

Aim to reveal specific features of the left ventricle (LV) structural and functional state and the pro-inflammatory status indicators in women of perimenopausal age.
Material and methods. The cross-sectional study included 80 women (age 45 to 55 years) who were divided into 2 groups: a menopausal transition group and an early postmenopausal group according to the STRAW + 10 classification. Anthropometric measurements were taken; blood tests for homocysteine C, interleukin-6 (IL6), C-reactive protein (CRP), and echocardiography were performed according to the standard technique.
Results. The study findings were as follows: 1. women in early postmenopause had higher levels of CRP when compared with women in the menopausal transition (4.5 (1.5; 8.0) mg/l versus 2.5 (0.6; 7.4) mg/l), in obese women, the level of IL6 was higher than in normal-weight women regardless of menopausal status (1.8 (0.6; 2.8) pg/ml versus 0.6 (0.2; 1.3) pg/ml); 2. the distribution of participants according to the type of myocardial remodeling did not differ in the comparison groups; 3. the presence of arterial hypertension and menopause was associated with myocardial hypertrophy; 4. significant differences were found in the distribution of myocardial geometry in women with obesity and overweight when compared to women with a normal body mass index (BMI) regardless of menopausal status; 5. significant direct correlation was registered between the structural and volume parameters of the LV and age, blood pressure, BMI, waist to hips circumference ratio. A positive correlation was found between the level of pro-inflammatory biomarkers and structural parameters of LV.
Conclusion. In women of perimenopausal age, a myocardial remodeling was revealed that could not be explained by traditional risk factors. The activation of the systemic inflammatory response in menopause and obesity was accompanied by the pathological LV remodeling and myocardial hypertrophy.
Digital personnel records as an element of human resources management in healthcare
Authors: Zavaleva Elena V. , Andruzskaya Anna G. , Zavalev Valentin I.
Published: November 2023

Aim of the review to analyze existing software for personnel management, to introduce a design of a unified digital database of healthcare specialists integrated with the platform of the Unified State Information System in Healthcare (USISH). The creation of digital personnel records on the existing information platform, integration with other state IT-systems will not only systematize and accumulate data on healthcare specialists, but also serve as a tool for personnel policy implementation both at the level of a medical organization and the level of a region, federal district and whole country.
Effectiveness of ESIN osteosynthesis in pediatric forearm diaphyseal fractures: A retrospective analysis
Authors: Izmalkov Sergei N. , Bratiychuk Aleksandr N. , Baranov Fedor A. , Galeev Farid Sh.
Published: November 2023

Aim to retrospectively evaluate the treatment results in children with diaphyseal forearm fractures operated on using intramedullary metal osteosynthesis with titanium elastic rods according to the Elastic Stable Intramedullary Nailing (ESIN) method.
Material and methods. The treatment results of 79 children were included in the retrospective analysis. The patients' mean age was 11.8 years (from 6 to16 years).
Results. The results of treatment were evaluated using the classification of Anderson et al. [20] in the early postoperative period, at 2, 4 and 6 months after surgery.
Conclusion. The ESIN osteosynthesis for diaphyseal fractures of the forearm bones in children allows for achieving excellent treatment results and early limb functionality in the absolute majority of cases.
Innovative Approach to Character Education Management: Learning Integration of Systematics Nuzulnya Wahyu
Authors: Ilyasin Mukhamad , Muadin Akhmad
Published: November 2023

The research includes discussing the internalization of the Systematics Nuzulnya Wahyu (SNW) Manhaj in building the quality of human resources with Hidayatullah's unique character. This research focuses on internalising Manhaj SNW in the context of forming Hidayatullah's surface. This research was carried out using a descriptive qualitative approach. Collecting data through observation techniques, interviews and document study. Data analysis was carried out in steps: data condensation, data presentation, and data verification (concluding). The research results found that the Hidayatullah Islamic Boarding School has been able to carry out a systematic cadre formation process and internalize the Nuzulnya Wahyu Systematic Manhaj for human resource development. The method of internalizing the Systematic Nuzulnya Revelation manhaj is carried out at several levels, namely ma'rifah (knowledge), khiṭṭah (attitude), tazkiyah (purification), education, and kāffah (comprehensiveness). The methods used are habituation, practice, discussion, assignment, reward and punishment. Character formation using the SNW concept can produce Muslim individuals who excel in preaching Islam in society and respond to modernity.
«E batterotti il capo in questo muro!» L’episodio plautino della lite tra Sosia e Mercurio nel Driadeo di Luca Pulci
Authors: Bardi Rebecca
Published: November 2023

Questo contributo prende in esame l’episodio del II libro del Driadeo di Luca
Pulci (1431-1470) che riguarda la violenza innescata dall’equivoco del doppio (ottave 34-
61) su modello dell’Amphitruo di Plauto. L’obiettivo è quello di mostrare, tramite citazioni
ad hoc dotate di esili note di commento e di parafrasi, come violenza e condizione di
smarrimento della propria identità siano declinate e attualizzate nella letteratura fiorentina
del Quattrocento cui Pulci appartiene.
Nel lontano laboratorio di A Silvia: la violenza sulla creatura fidente
nella canzone postuma di Leopardi Nella morte di una donna fatta trucidare col suo portato
dal corruttore per mano ed arte di un chirurgo
Authors: Diafani Laura
Published: November 2023

A Leopardi poeta e filosofo interessa una particolare forma di violenza:
quella perpetrata sulla vittima da chi era preposto ad amarla; dunque, una violenza paradossale
e scandalosa perché inflitta su esseri inermi e fiduciosi proprio dalla fonte cui
attendono felicità. La canzone postuma Nella morte di una donna fatta trucidare col suo portato dal corruttore per mano ed arte di un chirurgo, scritta nell’anno dell’Infinito (1819), appare un laboratorio di A Silvia e della futura riflessione leopardiana sul male.
La fenomenologia della violenza nelle opere di Igino Ugo Tarchetti
Authors: Bencini Camilla
Published: November 2023

Attraverso alcuni carotaggi nelle opere, l’articolo si propone di indagare la
presenza e le modalità di rappresentazione della violenza nella produzione di Igino Ugo
Tarchetti. Seguendo il fil rouge violento, vario e multiforme che si snoda nei romanzi e
nei racconti tarchettiani, analizzando le diverse funzioni degli episodi all’interno dei testi,
è possibile riconoscere una vera e propria fenomenologia della violenza.
Ideologia e ruoli sociali. Lettura di La balia di Pirandello
Authors: Carnevali Andrea
Published: November 2023

L’articolo propone una rilettura della novella La balia di Luigi Pirandello (raccolta nell’ed. 1923 In silenzio) nella prospettiva dei cultural studies, da cui emergono particolari punti di vista culturali e sessuali e delle stesse forme della analisi letteraria.
Dall’analisi del testo sono emersi aspetti psicologici, sociali e fisici della violenza
nell’ambiente domestico forse ancor’oggi rintracciabili nella cultura contemporanea.
«Fare la guerra è una cosa, uccidere un uomo è un’altra cosa». La tragedia della storia del Novecento raccontata da Emilio Lussu
Authors: Mannu Daniele
Published: November 2023

Il seguente saggio analizza le varie forme di violenza che emergono dai
principali scritti composti da Emilio Lussu durante il suo esilio, La catena, Marcia su Roma
e dintorni e Un anno sull’altipiano, tre libri uniti dal medesimo intento di voler esprimere la
tematica concernente l’annientamento totale della dignità umana, diretta derivazione del dispotismo fascista e della ferocia della guerra.
Pulmonary Actinomycosis, A Lesson Learned Story
Authors: Moreno-Diaz Claudia , Prócel-Ramírez César , Baldeón-Rojas Lucy
Published: November 2023

The bacteria Actinomyces spp. a gram-positive bacteria responsible for the actinomycosis disease. Its 15–20% pulmonary presentation is generally chronic, progresses slowly, and might be misinterpreted as lung cancer or other long-term conditions. We describe a man in his 60s with weight loss and dyspnea. The presence of Actinomyces spp. was identified in a bronchial biopsy of the middle lobe, ruling out lung cancer as the initial diagnostic possibility. After a month of intravenously administered antibiotic treatment, the patient experienced bronchiectasis. Pulmonary actinomycosis should be considered since it is challenging to detect and sometimes mistaken for lung neoplasia or TB due to its comparable clinical and radiographic presentations. The prognosis of pulmonary actinomycosis (PA) is favorable, and it is feasible to avoid recurring complications with the correct antibiotic treatment.
Competitiveness in Small Developing Economies
Authors: Wint Alvin G.
Published: November 2023

Possibly no group is more conscious of the challenges created by the increasing integration of markets for capital, labour, products and information than small, developing economies. Policy makers from these economies have sought a two-track response to this integration. One response lies in increasing lobbying efforts for these economies to be accorded special, or more equitable treatment in market integration discussions. The second response lies in improving the competitiveness of their economies. It is this second response that provides the subject matter for this book. It explores the challenges and opportunities associated increasing competitiveness in small, developing economies based on research conducted in the Caribbean. The topics covered indicate the breadth of activity that is required to enhance. competitiveness. At the macro-policy level, the book explores the key drivers of competitiveness, examines the role of exchange rate regimes and of government policy, considers the implications sovereignty, and assesses the extent to which competitiveness likely to be improved by attracting foreign direct investment.
Caribbean Revolutions and Revolutionary Theory
Authors: Meeks Brian
Published: November 2023

This volume re-examines the meaning of revolution as a useful concept in politics. It traces the history of the concept from its ancient beginnings, but especially in connection with the idea of progress since the French Revolution. More recent statements are examined as a prelude to arriving at a less deterministic, entrenched definition than has often been the case, but which retains the idea of revolution as a potential window and facilitator of change.
On Sequences Without Short Zero-Sum Subsequences
Authors: Zeng Xiangneng , Yuan Pingzhi
Published: November 2023

Let $G$ be a finite abelian group. It is well known that every sequence $S$ over $G$ of length at least $|G|$ contains a zero-sum subsequence of length at most $\mathsf{h}(S)$, where $\mathsf{h}(S)$ is the maximal multiplicity of elements occurring in $S$. It is interesting to study the corresponding inverse problem, that is to find information on the structure of the sequence $S$ which does not contain zero-sum subsequences of length at most $\mathsf{h}(S)$. Under the assumption that $|\sum(S)|< \min\{|G|,2|S|-1\}$, Gao, Peng and Wang showed that such a sequence $S$ must be strictly behaving. In the present paper, we explicitly give the structure of such a sequence $S$ under the assumption that $|\sum(S)|=2|S|-1<|G|$.
Pengaruh Intellectual Capital, Enterprise Risk Management, dan Good Corporate Governance Terhadap Nilai Perusahaan
Authors: Indah Sari Putri , Gantino Rilla
Published: November 2023

Mencapai nilai perusahaan yang maksimal merupakan tujuan utama bagi setiap perusahaan. Penelitian ini bertujuan untuk menganalisa Pengaruh Intellectual Capital, Enterprise Risk Management, dan Good Corporate Governance Terhadap Nilai Perusahaan pada perusahaan yang terdaftar dalam Indeks LQ45 periode 2017 – 2021. Teknik pengambilan sampel dalam penelitian ini menggunakan teknik purposive sampling. Terdapat 24 perusahaan yang terdaftar dalam LQ45 periode 2017 – 2021 yang digunakan sebagai sampel dalam penelitian ini. Jenis data yang digunakan merupakan data kuantitatif dari data sekunder yang bersumber dari laporam keuangan dan laporan tahunan. Metode analisis data yang digunakan yaitu analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa Intellectual Capital, Enterprise Risk Management, dan Good Corporate Governance secara simultan berpengaruh terhadap Nilai Perusahaan. Secara parsial Intellectual Capital berpengaruh positif terhadap Nilai Perusahaan. Sedangkan Enterprise Risk Management dan Good Corporate Governance secara parsial tidak berpengaruh terhadap Nilai Perusahaan.
The Impact of Project Governance on IT Project Performance: A Comparison Between SMEs and Large Firms
Authors:   Academic Society of Global Business Administration, Kim Jung-Soo , Kim Seung-Chul , Park So-Hyun
Published: November 2023

Companies are paying attention to project governance to achieve corporate strategic goals and realize the value of IT projects in a fast and complex business environment due to the development of information technology. This study examines the difference between SMEs and large firms in a situation where project governance affects IT project performance. This study surveyed 208 project team members, project managers, and project applicants with IT project experience within two years in various industries, and analyzed survey responses using regression analysis and univariate analysis. The results of this study showed that project governance has a positive effect on IT project management performance and IT project goal performance for both SMEs and large firms. In addition, for small and medium-sized enterprises, project governance has a higher impact on IT project management performance and IT project target performance than large firms, and the higher the level of project governance execution, the higher the IT project management performance and IT project target performance. This study drew implications that project governance for both SMEs and large firms can positively affect the achievement of schedule, cost, scope and quality planned for IT projects, business success and customer satisfaction, and that if SMEs have good project governance, they can improve IT project performance to the level of large firms.
Comparison and Analysis of SNN and RNN Results for Option Pricing and Deep Hedging Using Artificial Neural Networks (ANN)
Authors:   Academic Society of Global Business Administration, Lee Hong Jae , Kim Tae Seog
Published: November 2023

The purpose of this study is to present alternative methods to overcome market limitations such as the assumption of fixing the dynamics of underlying assets and market friction for the traditional Black-Scholes option pricing model. As for the research method of this paper, Adam is used as the gradient descent optimizer for the hedging model of the call option short portfolio using artificial neural network models SNN (simple neural network) and RNN (recurrent neural network) as analysis models, and deep neural network (deep neural network) is used as the hedging model. neural network) methodology was applied.
The research results of this paper are as follows. Regarding the ATM call option price, the BS model showed 10.245, the risk neutral model showed 10.268, the SNN-DH model showed 11.834, and the RNN-DH model showed 11.882. Therefore, it appears that there is a slight difference in the call option price according to each analysis model. At this time, the DH analysis data sample is 100,000 (1×) training samples generated by Monte Carlo Simulation, and the number of testing samples is the training sample. 20% (20,000 pieces) was used, and the option payoff function is lambda(), which is -max(, 0). In addition, the option price and P&L (P&L) of SNN-DH and RNN-DH appear linearly on the basis, and the longer the remaining maturity, the closer the delta value of SNN-DH and BS to the distribution of the S-curve, and the closer the expiration date, the closer the two models are. Delta is densely distributed between 0 and 1. As for the total loss of delta hedging of the short call option position, SNN-DH was -0.0027 and RNN-DH was -0.0061, indicating that the total hedged profit and loss was close to 0.
The implications of this study are to present DL techniques based on AI methods as an alternative way to overcome limitations such as fixing underlying asset dynamics and market friction of the traditional Black-Scholes model. In addition, it is an independent analysis model that considers valid robust tools by applying deep neural network algorithms for portfolio hedging problems. One limitation of the research is that it analyzed the model under the assumption of zero transaction costs, so future studies should consider this aspect.
A Study on the Application of Zero Trust Security Model in the Financial Sector
Authors:   Academic Society of Global Business Administration, Bae Jae Kwon
Published: November 2023

The changed hybrid work environment such as the expansion of cloud computing technology and the increase in telecommuting due to the coronavirus infection (COVID-19), has brought about new security problems. The traditional perimeter security model has limitations in protecting various devices and environments because it is difficult to clearly distinguish network boundaries. The Zero Trust model, which has been proposed as an alternative security strategy to overcome this, is based on the premise that there is no trust in the assets and actors that are connected components when configuring corporate infrastructure and workflow. The financial sector is actively seeking to introduce the zero trust security model as a means of strengthening security. Demand for responding to advanced cyber-security threats, strengthening security policies, and applicability and necessity of a zero trust security model in the financial sector has expanded. This study proposed the components of a zero trust security model to be applied to the financial world based on financial governance and zero trust principles, components of the maturity model, and the results of expert interviews. The zero trust security model in the financial sector consists of four layers and eight detailed steps: perimeter security layer, authority definition layer, behavior detection layer, and internal control layer. This zero trust security model for the financial sector is expected to provide guidelines for key elements and construction steps to be considered when introducing zero trust in the financial sector.
The effect of tax system of corporate tax on unappropriated earnings on the Tax avoidance: Focus on ESG-Scored performance
Authors:   Academic Society of Global Business Administration, Kim Youn Hwa
Published: November 2023

This study analyzes the impact of the non-refundable tax system on corporate tax planning at the financial reporting stage. A non-refundable tax system is a system that taxes a certain amount of corporate income as additional corporate tax if it is not spent on investment, wages, etc. Therefore, this study analyzed the impact of tax avoidance to reduce the burden of the reverse tax system in anticipation of its temporary introduction on long-term decisions such as investment and wages, and the impact of ESG performance of companies subject to the reverse tax system on tax avoidance in the early planning stage. To this end, we empirically analyze the relationship between ESG performance, tax avoidance, and earnings adjustment(AEM or REM) using ESG evaluation data(integrated score and evaluation score) from the Korea ESG Institute(KCGI) for companies listed on the KRX from 2015 to 2020, when the non-refundable tax system was applied.
First, we found that the discretionary accruals(AEM) earnings adjustment of companies subject to the non-refundable tax system is higher than that of companies not subject to the system. However, we do not find an increase in the adjustment of real activity profit (REM) between the two groups. However, it is analyzed that the non-refundable tax-eligible companies use AEM to plan for tax avoidance at the financial reporting stage when making tax planning. When analyzing the relationship between ESG performance and tax avoidance, we found that Ab_CFO is related to ESG·T and ESG·E, and AB_Dis_Exp is related to ESG·S. In other words, if the ESG rating of a company subject to the unregistered tax is high, it is interpreted that the decision to avoid taxes through REM (adjustment of earnings through real activities) is already being made at the financial reporting stage, which is consistent with some previous studies.
By examining the profit adjustment behavior at the financial reporting stage to analyze the tax avoidance impact of companies subject to the non-refundable tax system using ESG ratings, a non-financial performance of companies, this study has practical implications in that it empirically verifies the impact of ESG-related reports, which are currently being prepared for mandatory introduction in KOSPI in a phased manner from 2025, on companies' financial reporting and tax planning.
Astrochemical Modeling of Propargyl Radical Chemistry in TMC-1
Authors: Byrne Alex N. , Xue Ci , Cooke Ilsa R. , McCarthy Michael C. , McGuire Brett A.
Published: November 2023

Recent detections of aromatic species in dark molecular clouds suggest that formation pathways may be efficient at very low temperatures and pressures, yet current astrochemical models are unable to account for their derived abundances, which can often deviate from model predictions by several orders of magnitude. The propargyl radical, a highly abundant species in the dark molecular cloud TMC-1, is an important aromatic precursor in combustion flames and possibly interstellar environments. We performed astrochemical modeling of TMC-1 using the three-phase gas-grain code NAUTILUS and an updated chemical network, focused on refining the chemistry of the propargyl radical and related species. The abundance of the propargyl radical has been increased by half an order of magnitude compared to the previous GOTHAM network. This brings it closer in line with observations, but it remains underestimated by 2 orders of magnitude compared to its observed value. Predicted abundances for the chemically related C4H3N isomers within an order of magnitude of observed values corroborate the high efficiency of CN addition to closed-shell hydrocarbons under dark molecular cloud conditions. The results of our modeling provide insight into the chemical processes of the propargyl radical in dark molecular clouds and highlight the importance of resonance-stabilized radicals in polycyclic aromatic hydrocarbon formation.
YunMa: Enabling Spectral Retrievals of Exoplanetary Clouds
Authors: Ma Sushuang , Ito Yuichi , Al-Refaie Ahmed Faris , Changeat Quentin , Edwards Billy , Tinetti Giovanna
Published: November 2023

In this paper, we present YunMa, an exoplanet cloud simulation and retrieval package, which enables the study of cloud microphysics and radiative properties in exoplanetary atmospheres. YunMa simulates the vertical distribution and sizes of cloud particles and their corresponding scattering signature in transit spectra. We validated YunMa against results from the literature. When coupled to the TauREx 3 platform, an open Bayesian framework for spectral retrievals, YunMa enables the retrieval of the cloud properties and parameters from transit spectra of exoplanets. The sedimentation efficiency (f
sed), which controls the cloud microphysics, is set as a free parameter in retrievals. We assess the retrieval performances of YunMa through 28 instances of a K2-18 b-like atmosphere with different fractions of H2/He and N2, and assuming water clouds. Our results show a substantial improvement in retrieval performances when using YunMa instead of a simple opaque cloud model and highlight the need to include cloud radiative transfer and microphysics to interpret the next-generation data for exoplanet atmospheres. This work also inspires instrumental development for future flagships by demonstrating retrieval performances with different data quality.
Clarification and guidance on the use of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) framework
Authors: Probert Anna F. , Vimercati Giovanni , Kumschick Sabrina , Volery Lara , Bacher Sven
Published: November 2023

Understanding the ways in which alien taxa threaten human well-being, beyond purely monetary costs, can be difficult as impacts differ vastly across social, cultural, and economic contexts. Failure to capture impacts outside of monetary costs means that impacts are unfairly weighted towards those that can be easily monetised, which is unlikely to be a realistic measure of how alien species truly affect human well-being. To address this issue, the Socio-Economic Impact Classification for Alien Taxa (SEICAT) was developed with the intention to facilitate standardised classifications and comparisons of the impacts of alien taxa on human well-being and livelihood. The framework measures impacts by assessing to what extent alien taxa have altered human activities, so has application across a broad range of reported impacts associated with different constituents of human well-being. Although in their original paper, Bacher et al. (2018) provided an overview of the SEICAT framework, comprehensive guidelines that enable assessors to overcome potential ambiguities were, until now, unavailable. This may be preventing the broad application of the framework due to reduced usability. Here, we provide clarification and guidance for the application of SEICAT to facilitate standardised, consistent assessments. In particular, we address uncertainties stemming from unclear definitions of impacted communities and activities, as well as the spatial and temporal scales of relevance. We clarify these key issues and give explicit recommendations, whilst encouraging the collection of additional contextual information to be recorded for each assessed impact report, to generate more practical information for end-users of SEICAT data. Further, we recommend adopting an alternative terminology for the impact categories to reduce the potential misuse of the current descriptors. The intended outcome of this work is to aid the broad application of the SEICAT framework in a consistent and transparent manner.
The effect of recycled concrete powder (RCP) from precast concrete plant on fresh and mechanical properties of cementitious pastes
Authors: Rocha Joaquin Humberto Aquino , Tinoco Matheus Pimentel , Toledo Filho Romildo Dias
Published: November 2023

This study aims to evaluate the effect of RCP from a precast concrete plant on rheological and mechanical properties of cementitious pastes. In the study, Portland cement was replaced by RCP in 10, 20, and 30% (in mass). The hydration kinects of cement with RCP was studied through isothermal calorimetry. The fresh properties were assessed using mini-slump test and rotational rheometry. The mechanical properties were evaluated through compression tests and the microstruture was studied using Scanning Electron Microscopy. RCP reduces fluidity of the pastes, by increasing both yield stress and plastic viscosity. The addition of RCP accelerates the hydration of cement, while reducing the released heat. RCP also reduces the compressive strength and elastic modulus of the pastes. The use of RCP as partial substitute for cement is viable, due to its size distribution and specific surface area.