bluuebunny/crossref_metadata_2025 huggingface dataset:
Minor micro-rheological alterations in the presence of an artificial saphenous arteriovenous shunt, as an arteriovenous malformation model in the rat
Authors: Al-Smadi Mohammad Walid , Fazekas Laszlo Adam , Varga Adam , Matrai Adam Attila , Aslan Siran , Beqain Anas , Al-Khafaji Mustafa Qais Muhsin , Bedocs-Barath Barbara , Novak Laszlo , Nemeth Norbert
Published: January 2024

BACKGROUND: Arteriovenous malformations (AVMs) are vascular anomalies characterized by abnormal shunting between arteries and veins. The progression of the AVMs and their hemodynamic and rheological relations are poorly studied, and there is a lack of a feasible experimental model. OBJECTIVE: To establish a model that cause only minimal micro-rheological alterations, compared to other AV models. METHODS: Sixteen female Sprague Dawley rats were randomly divided into control and AVM groups. End-to-end anastomoses were created between the saphenous veins and arteries to mimic AVM nidus. Hematological and hemorheological parameters were analyzed before surgery and on the 1st, 3rd, 5th, 7th, 9th, and 12th postoperative weeks. RESULTS: Compared to sham-operated Control group the AVM group did not show important alterations in hematological parameters nor in erythrocyte aggregation and deformability. However, slightly increased aggregation and moderately decreased deformability values were found, without significant differences. The changes normalized by the 12th postoperative week. CONCLUSIONS: The presented rat model of a small-caliber AVM created on saphenous vessels does not cause significant micro-rheological changes. The alterations found were most likely related to the acute phase reactions and not to the presence of a small-caliber shunt. The model seems to be suitable for further studies of AVM progression.
A Context-Based Time Series Analysis and Prediction Method for Public Health Data
Authors: Uraki Asako , Kiyoki Yasushi , Murakami Koji , Kano Akira
Published: January 2024

The important process of time series analysis for public health data is to determine target data as a semantic discrete value, according to a context from continuous phenomenon around our circumstance. Typically, each field of experts has their own fields’ specific and practical knowledge to specify an appropriate target part of data which contains the key features of their intended context in each analysis. Those are often implicit, thus not defined as systematically and quantitatively. In this paper, we present a context-based time series analysis and prediction method for public health data. The most essential point of our approach is to express a basis of time series context as the combination of the following 5 elements (1: granularity setting on time axis, 2: feature extraction method, 3: time-window setting, 4: differential computing function, and 5: pivot setting) to determine target data as semantic discrete values, according to the time series context of analysis for public health data. One of the main features of our method is to create different results by switching time series contexts. The method realizes 1) introducing a new normalization (context expression) method to fix a target reference data for time series analysis and prediction according to a context, and 2) presenting a process to generate semantic discrete values reflecting the 5 elements. And the significant features of the proposing method are 1) our context definition realizes the closed world of the semantic differential computing on time axis from the viewpoint of database system, and 2) the 5 elements enable to explicit and quantify experts’ semantic viewpoint of specifying a certain reference data according to a context for each analysis and prediction. As our experiment, we have realized analysis and prediction by applying actual public health data. The results of the experiments show the prediction feasibility of our method in the field of public health data, effectiveness to generate results for discussion regarding switching context, and applicability to express time series context of an expert knowledge for analysis and prediction as combination of the 5 elements to make the knowledge explicit and quantitative expression.
Adaptive Charging and Discharging Strategies for Smart Grid Energy Storage Systems
Authors: Dudko Alexander , Endrjukaite Tatiana
Published: January 2024

The current state of energy generation and consumption in the world, where many countries rely on fossil fuels to meet their energy demands, poses significant challenges in terms of energy security and environmental degradation. To address these challenges, the world is shifting towards renewable energy sources (RES), which are not only environmentally sustainable but also have the potential to reduce dependence on fossil fuels. However, the intermittency and seasonality of RES arise new challenges that must be addressed. To overcome these challenges, energy storage systems (ESS) are becoming increasingly important in ensuring stability in the energy mix and meeting the demands of the electrical grid. This paper introduces charging and discharging strategies of ESS, and presents an important application in terms of occupants’ behavior and appliances, to maximize battery usage and reshape power plant energy consumption thereby making the energy system more efficient and sustainable.
A New Global Sign Language Recognition System Utilizing the Editable Mediator: Integration with Local Hand Shape Recognition
Authors: Nakanishi Takafumi , Minematsu Ayako , Okada Ryotaro , Hasegawa Osamu , Sornlertlamvanich Virach
Published: January 2024

We introduced a novel approach to global sign language recognition by leveraging the capabilities of the Editable Mediator. Traditional methods have often been limited to recognizing sign languages from specific linguistic regions, necessitating ad hoc implementation for multilingual regions. Our method aims to bridge this gap by providing a unified framework for recognizing sign languages in various linguistic areas and promoting global communication. At the core of our system is the Editable Mediator, a mechanism that determines the actual sign meaning from various local hand-shape recognitions. Instead of focusing on specific sign language notations, such as HamNoSys, our approach emphasizes the recognition of common primitive actions shared across different sign languages. These primitive actions are recognized by multiple modules, and their combinations are interpreted by the Editable Mediator to determine the intended sign-language message. This architecture not only simplifies the recognition process, but also offers flexibility. By merely editing the Editable Mediator, our system can adapt to various sign languages worldwide without the need for extensive retraining or ad hoc implementation. This innovation reduces barriers to introducing new sign language systems and promotes a more inclusive global communication platform.
A Knowledge Model Based on “Dark-Matter” and Parallel Spaces
Authors: Chen Xing , Kiyoki Yasushi
Published: January 2024

This paper aims to analyze the phenomenon of inapplicability of experience, which means that sometimes we make mistakes when we use our past experience to solve current problems. We propose a knowledge model based on the concept of “dark-matter”, which is a term used to describe the time-related data that is hidden from our observation. We use a two-dimensional matrix to represent both time-related and non-time-related data, and we call it space. We also introduce the concept of parallel spaces, which are composed of several spaces that can explain different situations and outcomes. We use case studies to illustrate how knowledge is generated and expressed using “dark-matter” and parallel spaces. We also reveal the reason for the inapplicability of experience and suggest some solutions. The contribution of this paper is that we provide a new perspective and a new model to understand and process knowledge based on “dark-matter” and parallel spaces.
A Spatio-Temporal and Categorical Correlation Computing Method for Inductive and Deductive Data Analysis
Authors: Hayashi Yasuhiro , Kiyoki Yasushi , Harada Yoshinori , Makino Kazuko , Kaneoya Seigo
Published: January 2024

This paper proposes a spatio-temporal and categorical correlation computing method for induction and deduction analysis. This method is a data analytics method to reveal spatial, temporal, and categorical relationships between two heterogeneous sets in past events by correlation calculation, thereby finding insights to build new connections between the sets in the future. The most significant feature of this method is that it allows inductive and deductive data analysis by applying context vectors to compute the relationship between the sets whose elements are time, space, and category. Inductive analysis corresponds to data mining, which composes a context vector as a hypothesis to extract meaningful relationships from trends and patterns of past events. Deductive analysis searches past events similar to a context vector’s temporal, spatial, and categorical conditions. Spatio-temporal information about the events and information such as frequency, scale, and category are used as parameters for correlation computing. In this method, a multi-dimensional vector space that consists of time, space, and category dimensions is dynamically created, and the data of each set expressed as vectors is mapped onto the space. The similarity degree of the computing shows the strength of relationships between the two sets. This context vector is also mapped onto the space and is calculated distances between the context vector and other vectors of the sets. This paper shows the details of this method and implementation method and assumed applications in commerce activities.
Identification and Analysis of Factors Impacting e-Inclusion in Higher Education
Authors: Pušnik Maja , Kous Katja , Welzer Družovec Tatjana , Šumak Boštjan
Published: January 2024

In this chapter, we investigate the complex process of analyzing and understanding the factors that influence individuals’ access to and participation in digital education within the Higher Education context. While the digital transformation in Higher Education Institutions (HEI) has produced numerous benefits for both students and educators, it has also brought forth challenges, particularly for students with special educational needs and disabilities (SEND). A literature review was conducted, to gain insight into the specific requirements of this student demographic. This review aimed to identify the multifaceted factors that impact e-inclusion within Higher Education. Our research resulted in the identification of 24 different factors that should be considered when evaluating e-inclusion within HEI. These factors serve as essential indicators in the assessment of the accessibility and inclusivity of digital education, allowing for a more multifaceted understanding of the dynamics in the Higher Education landscape.
Authors: Fa'izah Annisa Nur , Nugraha Amelia , Nurunnisa Fadila , Zachari Nida Tsabita Nasywa , Saputra Salwa Tsabitha , Widjayatri RR Deni
Published: January 2024

The abilities needed to face complex challenges in the current era require 21st century skills. The main skills according to identification are critical, collaboration, agility, initiative, effective communication, access and analysis of information, and curiosity. The purpose of writing this article is to find out what strategies can be used to develop 21st century skills for children aged 4-5 years. The method used to compile this article used billiometric analysis and obtained 4 clusters consisting of the industrial revolution era, skills, learning strategies and project based learning. The data collected is based on Google Scholar. Important parts of 21st century learning strategies are group work, discussions, presentations, HOTS, STEAM and blended learning.
Authors: Alimudin Alimudin , Cahyo Edo Dwi , Yulistia Annisa , Sinaga Santa Idayana
Published: January 2024

Assessment is an inseparable activity in a learning process. Assessment and learning are inseparable units in the learning process activities in the classroom. Assessments need to be carried out in learning activities to determine the success of activities that have been designed by educators. The purpose of this article is to understand the concepts and theories of assessment in early childhood education institutions in the Merdeka curriculum. This research was conducted using the literature study method. The results of this research are that there are two types of assessment in the Merdeka curriculum, namely formative assessment and summative assessment. Formative assessments are carried out at the beginning of activities and during the learning process. Formative assessment aims to improve the learning process, not to assess children's development. Summative assessment is carried out at the end of learning activities, this assessment is carried out at the end of the activity. In the Foundation phase, formative assessments can be carried out in one to two weeks. The reference for implementing assessments in the foundation phase is based on the indicators of learning achievement that have been determined by the educator. Assessment in the foundation phase is carried out using several techniques including Observation, Performance and Portfolio techniques. The assessment is carried out authentically, namely the assessment is carried out in actual situations.
Authors: Yuniarti Yuniarti , Rafikah Noviana , Sutrisno Sutrisno
Published: January 2024

Penelitian ini di dasari oleh kesulitan anak berkonsentrasi dalam belajar. Penelitian ini bertujuan untuk mengetahui pengaruh konsentrasi belajar pada anak usia 5-6 tahun dengan menggunakan metode bercerita melalui buku cerita bergambar. Pelaksanaan metode pembelajaran yang digunakan dengan metode bercerita tanpa menggunakan media yang menarik dan bervariasi, membuat peserta didik kurang tertarik dan antusias dalam kegiatan pembelajaran. Hal ini tersebut menyebabkan peneliti tertarik untuk memberikan metode bercerita melalui buku cerita bergambar untuk membantu perkembangan konsentrasi belajar anak. Penelitian ini menggunakan metode kuantitatif eksperimen dengan rancangan bentuk desain Pra-Exspremental Design (non-design). Pengambilan sampel menggunakan teknik scoring pada lembar checklist pre-test dan pos-test, sampel penelitian terdiri dari kelas B4 dengan jumlah 17 orang anak. Teknik pengumpulan data dengan lembar observasi, wawancara dan dokumentasi. Penelitian ini menggunakan teknik analisis data uji normalitis dan hipotesisi Uji t (taraf nyata) dengan menggunakan SPSS versi 25. Hasil analisis data dan pengujian hipotesis yang telah dilakukan maka dapat dilihat dari nilai sig (2-tailed) = 0,000 sedangkan 0,05 (0.00<0,05) maka Ha di terima dan Ho di tolak dengan perbandingan rata-rata pre-test 5, dan pos-test 8,23. Dapat disimpulkan bahwa konsentrasi belajar anak kelas B4 terdapat pengaruh yang signifikan dengan metode bercerita melalui buku cerita bergambar terhadap konsentrasi belajar anak di Taman Kanak-Kanak Negeri Pembina Pontianak Selatan.
Quantum Non-separability, Consciousness, Negentropy and a New Concept of Gravity
Authors: Pletcher Arthur
Published: January 2024

This article proposes a novel analogy between the escalating polarization which occurs between rational agents, and the emergence of spacetime in quantum decoherence. The former occurs within a framework of reinforcement loops of recursive information exchange between agents, and translates through scales (local, regional, national and international) of polarization. The latter occurs on a neurological scale within the split consciousness of the single observer, and thus a particle evolution becomes determined, as the particle becomes entangled with the polarized state of the observer and the observer's local environment. THE PREMISE OF THIS ANALOGY IS MATHEMATICALLY SUPPORTED. A modified Stern Gerlach experimental is proposed as a proof. A radical concept of gravity is a corollary.
Expansion of the antifungal activities through in silico docking study of compounds from Albizia lebbeck fruits
Authors: Peron Bosco Leutcha , Zafar Humaira , Choudhry Muhammad Iqbal , Lannang Alain Meli
Published: January 2024

The development of new computational and experimental techniques that are efficient, fast, and accurate has become a priority for researchers in all domains around the world. The present manuscript deals with the computational investigation of quercitrin (1), lebbeckisoetin A (2), quercetin-3-O-_β_-D-glucopyranoside (3), (_E_)-_p_-coumaric acid (4), eugenol (5), eugenol, 1-acetate (6), chiakine (7), hexancosan-1',26'-dioate of bis[(2_S_), 2,3-dihydroxypropyl] (8), oleanolic acid (9), betulin (10), hopan-29-ol (11), hopan-30-ol (12), 22-hydroxyhopan-3-ol (13), and lupeol (14). These compounds were all isolated from the fruit of _Albizia lebbeck_. Only lebbeckisoetin A (2) and chiakine (7) were previously evaluated for their experimental antimicrobial activities, which both revealed potent antifungal activities. This theoretical study was undertaken in the framework of better understanding the experimental results at the atomic level and to expand the antimicrobial assays of the other non-tested compounds. The virtual screening of the antimicrobial activity was performed on Maestro Schrӧdinger 4.2.1 software using the crystal structures of sterol 14-alpha demethylase (CYP51) from _Candida albicans_ in complex with the tetrazole-based antifungal drug candidate VT1161 (VT1) (PDB Id: 5TZ1) and the crystal structure of sterol 14-alpha demethylase (CYP51) from the pathogenic yeast _Candida albicans_ in complex with the antifungal drug posaconazole (PDB Id: 5FSA). This is the first docking study of natural compounds using these 5TZ1 and 5FSA as proteins. Compounds (1-10) reveal interesting binding strength with both 5TZ1 and 5FSA proteins, with a docking score ranging from -7.892 to -5.256, supporting the experimental results. In addition, compounds (1-9) were mostly active due to the formation of π-π interactions, H-bonds, and hydrophobic interactions, as well as π-cation and salt bridge interactions, with both 5TZ1 and 5FSA.
New observational data on orchid species in the Tiaret region (West Algeria)
Authors:   University of Tiaret, Nouar Abdelkader , Nouar Belgacem ,   University of Tlemcen, Maamar Benchohra ,   University of Tiaret, Berrabah Hicham ,   University Center of Mila, Aouadj Sid Ahmed ,   University of Relizane, Tir Elhadj ,   University of Tlemcen
Published: January 2024

Algeria, due to its geographical position, presents a great diversity of biotopes occupied by significant floristic wealth. Located in the west of the country, the Tiaret region appears as a contact zone between the Oran Tell and the Algerian -Constantin Tell, on the one hand, and between the Mediterranean Tell and the high steppe plains, on the other hand. This region is home to a very remarkable floristic diversity in general and orchids in particular which unfortunately remains very little studied and poorly known. This contribution concerns a new observation of Ophrys scolopax var. picta (Link) Rchb. f. (Orchidaceae) in the wilaya of Tiaret not previously reported. The species was discovered in a place called Chehama (Commune of Sebt) in the far north of the wilaya in the borders with the wilaya of Tissemsilt. This discovery will enrich the orchidoflora of Algeria in general and that of Tiaret in particular.
Florida 4-H Food Challenge: Youth Guide
Authors: Sachs Geralyn
Published: January 2024

This guide will assist youth who are taking part in the Florida 4-H Food Challenge. It contains contest guidelines, available resources, scoresheets, and worksheet.
Small-Scale Juicing of Florida-Grown 'UFSun' Peaches
Authors: Curtis Savanna J. , Sarkhosh Ali , Sarnoski Paul J. , Sims Charles A. , MacIntosh Andrew J.
Published: January 2024

Peaches are a promising option for the Florida agricultural industry with plenty of revenue streams including fresh market, U-pick, and retail sales, as well as alternatives in the juicing and fermentation industries. This publication discusses a 2018 case study completed on a Florida peach cultivar. ‘UFSun’ were harvested, processed into juice, and analyzed for sugar content, juice yield, and general economic feasibility. UF/IFAS has bred peach cultivars that grow commercially in tropical and subtropical climates such as Florida’s and are harvest-ready two months before the rest of the United States, offering competitive advantages. Unfortunately, their small size renders them less profitable in fresh markets compared to larger non-Florida cultivars. Knowing the processing characteristics of Florida peaches provides valuable information for peach farmers who are considering using their peaches for juicing, fermentation, and similar purposes.
IMPLEMENTASI METODE QIROATI DALAM PEMBELAJARAN AL-QUR'AN
Authors: Latifah Umi , Amirudin Noor
Published: January 2024

In the context of education in Indonesia, Al-Qur'an education does not receive serious enough attention because most children and adolescents in the surrounding community still do not pay attention to the science of recitation and makhorijul letters when reading the Qur'an, so a a method to improve reading of the Qur'an, namely the Qiro'ati method at TPQ Al Irsyadiyah. The Qiro'ati method is a method of teaching reading the Qur'an directly according to its tartil and tajwid. The purpose of this study is to describe the Implementation of the Qiro'ati Method in Al-Qur'an Learning at TPQ Al Irsyadiyah Dermolemahbang Lamongan. Data collection methods used in the form of observation and, interviews using the validity of triangulation data sources and techniques. The technique of determining the informants used purposive sampling using data analysis techniques, namely data reduction, data presentation and conclusions. The results of the study show that implementing the Qiro'ati Method program, teachers must have a shahadah certificate through the process of developing teaching practice methodologies and teachers must also follow the rules of Qiro'ati. For the implementation of early learning there are tawasul, collective prayer, muroja'ah (asmaul husna, hadith and prayers), 2) Core learning 15 minutes classical read see later, 30 minutes individually 3) Read prayers after learning then, 15 minutes for the process memorizing and checking what has been written
Analysis of the Quality of Assurance Statements on Corporate Sustainability Reports on the Stock Exchanges of Several Countries in the World in 2020-2022
Authors:   Kwik Kian Gie School of Business, Nangoy Gavriel Faith , Meiden Carmel ,   Kwik Kian Gie School of Business
Published: January 2024

While sustainability reporting has experienced notable advancements in recent years, a discernible gap persists between the progress in reporting practices and the corresponding assurance measures. This paper emphasizes the degree to which the contents of sustainability assurance statements align with the essential elements mandated by the ISAE 3000 and AA1000AS assurance standards. A content analysis was performed for the assurance statements of twenty-four (24) public listed companies listed on 24 different exchanges over a three-year span from 2020 to 2022. This analysis employed a quantitative approach involving scoring to assess the alignment of the content with the requirements of the assurance standards. The research instrument used were based on the minimal content elements of ISAE 3000 and AA1000 AS and developed by previous studies. The results of this study describe variability in the quality of assurance statements based on assurance standards, assurance provider, country of origin, industry sector, and content element. This research contributes to the existing literature in sustainability assurance through content analysis offering a nuanced global perspective through a large sample size and utilizing a streamlined research instrument derived from previous studies, enhancing the precision and conciseness of the analysis.
Uncovering Hidden Realities: A Phenomenological Approach to Financial Crime in Public Procurement
Authors:   Hasanuddin University, Parintak Sutrisno
Published: January 2024

This research aims to uncover the hidden reality of financial crime in the context of public procurement using a phenomenological approach. Through in-depth analyses of the experiences of financial criminals, procurement officials, and the communities involved, the research identifies the factors that drive fraud in the procurement process. The results show that the complexity of the procurement system, local social, economic and cultural pressures play a key role in the dynamics of financial crime. Dissatisfaction with complex procurement procedures and pressure to achieve a certain status are the main triggers for fraud. The implications of this research underscore the need for reforms in the procurement system, increased transparency and accountability. Practical suggestions involve additional education and training for procurement officials, addressing social pressure through social programs, and strengthening internal and external oversight. By highlighting the long-term impact of fraud in public procurement, this research provides a basis for policy and practice changes to create an environment of greater integrity and efficiency in the use of public funds. Collaboration with stakeholders, including researchers and academics, was identified as a strategic step towards achieving this goal.
POTENSI DAUN KEMUNTING (Melastoma malabathricum) SEBAGAI OBAT TRADISIONAL SUKU DAYAK DESA DALAM PENYEMBUHAN LUKA
Authors: Daniel Beltsazar Edmond , Marshellina Carla Jean , Safitdra Andre , Yanti Syahab Asseggaf Syarifah Nurul , Zakiah Mistika
Published: January 2024

Suku Dayak Desa merupakan sub-suku dari rumpun suku Dayak Ibanik yang menempati beberapa wilayah di Kecamatan Kelam Permai Kabupaten Sintang, Kalimantan Barat. Berbagai tanaman obat dimanfaatkan oleh masyarakat suku Dayak Desa untuk pencegahan atau pengobatan penyakit. Daun kemunting menjadi salah satu obat tradisional yang digunakan oleh suku Dayak Desa dalam penyembuhan luka. Studi literatur ini bertujuan untuk menelaah potensi daun kemunting terhadap penyembuhan luka dalam konteks pengobatan tradisional suku Dayak Desa. Disimpulkan bahwa kemunting berpotensi besar dalam meredakan inflamasi, mempercepat penyembuhan luka, dan mencegah infeksi sebab memiliki sifat-sifat antiinflamasi, antioksidan, dan antimikroba. Artikel ini menggarisbawahi pentingnya eksplorasi kemunting sebagai tanaman obat tradisional suku Dayak Desa dalam penyembuhan luka sebagai dasar untuk penelitian dan pengembangan pengobatan tradisional di wilayah tersebut.
PENGARUH KADAR ESTRADIOL SAAT PEMBERIAN HCG TERHADAP OUTCOME IVF: LITERATUR REVIEW
Authors: F. Yudha Christianti  , Legiran
Published: January 2024

Infertilitas merupakan suatu permasalahan yang dapat dijumpai pada pasangan suami istri. Penanganan yang tepat diperlukan untuk membantu pasangan-pasangan dengan kasus infertilitas, salah satunya melalui bantuan teknologi yaitu IVF (In Vitro Fertilization). Selama mengikuti program IVF, pasangan akan mendapatkan stimulasi ovarium yang bertujuan untuk menstimulasi perkembangan folikel dan mendapatkan peningkatan kadar estradiol. Pengukuran terhadap hormon estradiol sudah rutin dilakukan, namun batasan dan pengaruhnya masih belum jelas. Artikel ini bertujuan untuk mengetahui pengaruh kadar estradiol terhadap outcome IVF. Sebanyak 18 artikel diperoleh dari proses seleksi dan dianalisis hasilnya. Berdasarkan hasil telaah artikel meskipun masih diperdepatkan, namun sebagian data artikel menyimpulkan bahwa kadar estradiol dapat berpengaruh pada outcome IVF yaitu outcome laboratorium seperti jumlah oosit, angka fertilisasi dan perkembangan embrio. Pada hasil rata-rata kehamilan dan kelahiran hidup, kadar estradiol berpengaruh namun tidak signifikan secara statitistik.
The Impact of the Atmosphere in Virtual Brand Communities of Chinese Companies on Consumer Value Co-Creation Behavior: From the Perspective of Planned Behavior Theory
Authors:   The Institute of Management and Economy Research, Wang Wenxin , Kim Moon-Hong
Published: January 2024

Purpose - This study is based on the Theory of Planned Behavior and aims to explore the decision-making mechanisms of consumers participating in value co-creation activities within virtual brand communities.
Methodology - The research involved a comprehensive survey of 405 participants from various virtual brand communities. Structural Equation Modeling (SEM) was used for data analysis, applying SPSS and AMOS to test the hypotheses. The study focused on community rules and regulations, community experience and community trust.
Results - The research found that community rules and regulations significantly impact subjective norms and perceived behavioral control, but not directly influence consumer attitudes. Community experience positively affected consumer attitudes, subjective norms and perceived behavioral control. Community trust was found to positively influence these aspects of consumer decision-making. However, a gap was identified in the direct influence of perceived behavioral control on actual consumer behavior.
Implications - The findings of this study contribute to a more comprehensive understanding of factors affecting consumer behavior in virtual brand communities. It underscores the necessity for community managers to develop strategies that consider these internal decision-making mechanisms, facilitating more effective community engagement. The study also identifies a potential area for future research in the direct influence of perceived behavioral control on actual consumer behavior.
A study on the relationship between R&D tax support policy and corporate innovation activities: Focus on national strategic technology R&D companies
Authors:   The Institute of Management and Economy Research, Koo Bon-Jin , Lee Jong-Seon
Published: January 2024

Purpose - The purpose of this study was to analyse the relationship between R&D tax support policy and firm innovation activity using data on firms engaged in 12 national strategic technology sectors.
Design/methodology/approach - This study collected survey data from 664 companies engaged in national strategic technologies. The data were then analysed using the Propensity Score Matching (PSM) analysis.
Findings - First, corporate R&D tax support had a statistically significant positive (+) relationship with firm innovation performance. Second, there was a statistically significant positive (+) relationship with incremental innovation, but there was no statistical significance with radical innovation. Third, there was a statistically significant positive (+) relationship with the firm's first innovation, but there was no statistical significance with the world's first innovation. Fourth, there was a statistically significant positive (+) relationship with the number of R&D projects of a firm. Finally, there was a statistically significant positive (+) relationship with a firm's open innovation.
Research implications or Originality - First, in terms of policy effectiveness, the government needs to consider promoting R&D tax support policies in areas where R&D competition is fierce. For private companies engaged in the 12 national strategic technology fields, the R&D tax support policy is working in the direction of promoting corporate innovation activities, and this positive policy effect is likely to be effective in areas where R&D competition is fierce. Second, if the government wants to improve the quality of corporate innovation activities through R&D tax support policies, it needs to provide incentives higher than the current level.
The Impact of Workaholism on Job Satisfaction Depending on Personality: Focusing on the Moderating Role of Conscientiousness
Authors:   The Institute of Management and Economy Research, Ok Chiho , Cho Eunae , Park Jisung
Published: January 2024

Purpose - The purpose of this study is to determine the impact of workaholism according to personality on the job satisfaction of organizational members.
Design/methodology/approach - Workaholism was defined as excessive working and compulsive work, suggesting a negative impact on job satisfaction, while predicting that conscientiousness would alleviate this effect and presented as a hypothesis. The unbalanced panel data constructed based on 19,283 samples of 6,863 people from the Korea Labor Institute's Korea Labor Panel Survey was used.
Findings - Both excessive working and compulsive working were found to have a direct negative effect on job satisfaction. Additionally, as a result of verifying the interaction effect of conscientiousness, it was found that the negative impact of excessive work on job satisfaction was moderated and alleviated by conscientiousness. In other words, for employees with high conscientiousness, the negative impact of excessive work on job satisfaction is alleviated and the negative impact of overworking is offset, whereas for employees with low conscientiousness, the negative impact of overworking on job satisfaction is strengthened.
Research implications or Originality - This study shows that the impact of workaholism on job satisfaction varies depending on personality. While existing research has treated personality only as a determinant of workaholism, this study contributes to previous research in that it expands the role of personality. In addition, in practical terms, it is suggested that differential treatment based on individual values or personality is necessary.
Analysis of Corporate Value Relevance Form of Tax Avoidance
Authors:   The Institute of Management and Economy Research, Kwon Gee-Jung
Published: January 2024

Purpose - This study aims to verify whether the effect of tax avoidance on corporate value is non-linear in the Korean financial markets.
Design/methodology/approach - This study believes that the cause of the inconsistent empirical analysis results of previous studies that verified the relationship between tax avoidance and firm value may be an error in assuming linearity, and verifies whether a nonlinear relationship exists. The sample company in this study is a December settlement corporation listed on the Korean stock market, and the analysis period is from 2000 to 2021. In the empirical analysis model, Tobin’s Q is used as a proxy for corporate value, tax avoidance is used as the main independent variable, and a regression model is designed with corporate size, growth rate, and debt ratio set as control variables.
Findings - As a result of the empirical analysis, it can be confirmed that there is an inverted U-shaped nonlinear relationship between tax avoidance and corporate value. In the additional analysis using Ohlson (1995) firm valuation model for the robustness of the results of the empirical analysis, the same nonlinear value relationship between tax avoidance can be confirmed.
Research implications or Originality - This study is considered to be meaningful in that it verifies the non-linear relationship of tax avoidance, which has not been attempted in previous studies. The meaning of the inverted U-shaped nonlinear relationship presented in this study is that corporate tax avoidance acts as a factor that increases corporate value up to a certain level, but rather becomes a factor that decreases corporate value when it exceeds a critical point. These results are expected to provide new perspectives and perspectives on tax avoidance to companies belonging to the Korean capital market.
An Analysis on the Decoupling between Energy Consumption and Economic Growth in South Korea
Authors:   The Institute of Management and Economy Research, Kang Hyun-Soo
Published: January 2024

Purpose - This study analyzed the decoupling phenomenon between energy consumption and economic growth in Korea from 1990 to 2021. The main purpose of this study is to suggest policy implications for achieving a low-carbon society and decoupling that Korea must move forward in the face of the climate change crisis.
Design/methodology/approach - This study investigated the relationship between energy consumption and economic growth by energy source and sector using the energy-EKC (EEKC) hypothesis which included the energy consumption on the traditional Environmental Kuznets Curve (EKC), and the impulse response function (IRF) model based on Bayesian vector auto-regression (BVAR).
Findings - During the analysis period, the trend of decoupling of energy consumption and economic growth in Korea is confirmed starting from 1996. However, the decoupling tendency appeared differently depending on the differences in energy consumption by sources and fields. The results of the IRF model using data on energy consumption by source showed that the impact of GDP and renewable energy consumption resulted in an increase in energy consumption of bio and waste, but a decrease in energy consumption by sources, and the impact of trade dependence was found to increase the consumption of petroleum products.
Research implications or Originality - According to the main results, efficient distribution by existing energy source is required through expansion of development of not only renewable energy but also alternative energy. Additionally, in order to increase the effectiveness of existing energy policies to achieve carbon neutrality, more detailed strategies by source and sector of energy consumption are needed.
Emotional Reactions, Sentiment Disagreement, and Bitcoin Trading
Authors:   The Institute of Management and Economy Research, Kim Dong-Yeon , d d
Published: January 2024

Purpose - This study aims to explore the influence of emotional discrepancies among investors on the cryptocurrency market. It focuses on how varying emotions affect market dynamics such as volatility and trading volume in the context of Bitcoin trading.
Design/methodology/approach - This study involves analyzing data from Bitcointalk.org, consisting of 57,963 posts and 2,215,776 responses from November 22, 2009, to December 31, 2022. Tools used include the Linguistic Inquiry and Word Count (LIWC) software for classifying emotional content and the Python Pattern library for sentiment analysis.
Findings - The results show that heterogeneous emotional feedback, whether positive or negative, significantly influences Bitcoin's intraday volatility, skewness, and trading volume. These findings are more pronounced when the underlying emotion in the feedback is amplified.
Research implications or Originality - This study underscores the significance of emotional factors in financial decision-making, especially within the realm of social media. It suggests that investors and market strategists should consider the emotional landscape of online forums when making investment choices or formulating market strategies. The research also paves the way for future studies regarding the behavioral impact of emotions on the cryptocurrency market.
A Study on Trade Structure between MERCOSUR and Korea
Authors:   The Institute of Management and Economy Research, Park Chong-Suk
Published: January 2024

Purpose - The purpose of this study is to analyze Korea’s trade relations centered on the MERCOSUR, a major economic integration in Latin America, and identify its problems and suggest measures that can be taken by the government and corporations to reinforce economic cooperation.
Design/methodology/approach - To improve the level of contribution of the study, an empirical analysis is necessary. However, due to limited data access, the study will approach the topic of trade relations between Korea and the MERCOSUR with various statistics and literature.
Findings - First, there is an urgent need for changes in import-export goods between Korea and the MERCOSUR, as trade is focused on specific items. Second, although foreign direct investment from Korea to the MERCOSUR is centered in manufacturing and mining industries, there should be different investment strategies by countries and industries. Third, it is necessary to reinforce commercial cooperation. Korea currently has Free Trade Agreements with Chile, Peru, and Columbia, but not with MERCOSUR. Therefore, Korea must take active measures to sign an TA with MERCOSUR, which has been put on hold.
Research implications or Originality - Latin America has the most thriving market when it comes to Free Trade Agreements worldwide. MERCOSUR is a South American Trade Bloc established by the Treaty of Asunción in 1991 and Protocol of Ouro Preto in 1994. Its full members are Brazil, Argentina, Uruguay and Paraguay. However, there is still a lack of research on the MERCOSUR, and corporations that aim to enter the Latin American market face difficulties due to lack of information. By investigating MERCOSUR and its prospects and analyzing the trade relations with Korea, this study will provide strategic measures for corporations that wish to enter the Latin American market.
A Study on the Improvement Measures for Export Support Projects for SMEs in Jeollabuk-do
Authors:   The Institute of Management and Economy Research, Han Bangwool , Kim Minho
Published: January 2024

Purpose - The purpose of this study is to review the export support projects in Jeollabuk-do and to provide implications to the policy makers and to the local exporters. Based on this review, the study proposes future measures to enhance the efficiency of the current Jeollabuk-do export support project.
Design/methodology/approach - This study reviews export support projects in Jeollabuk-do, dexamines program types and utilization status, and subsequently summarizes the key aspects of Jeollabuk-do SMEs’ export support projects.
Findings - This study suggests that Jeollabuk-do's export support project can become more effective through active development of overseas markets and professional integration of marketing activities, particularly focusing on regionally specialized export products. Additionally, given the crucial roles played by the government, related agencies, and local offices in improving the export capabilities of SMEs in Jeollabuk-do, there is an emphasis on the need for continuous and systematic follow-up management and the establishment of export support projects and services.
Research implications or Originality - While small and medium-sized enterprises (SMEs) in Korea account for a significant portion of export activities, their actual export performance and contribution are low. The export competitiveness of SMEs, particularly those located in regions other than Seoul and Gyeonggi Province, is not improving despite various export support projects being promoted. Under the circumstances, this study provide meaningful implications to the policy makers and to the local exporters.
A case study on the exclusion of FTA application base on the processing operation of the rules of origin
Authors:   The Institute of Management and Economy Research, Park Se-Hyun
Published: January 2024

Purpose - The purpose of this study is to analyze cases and suggest implications regarding the exclusion of the agreement tax rate according to the processing process standards of the FTA rules of origin.
Design/methodology/approach - In this study, cases in which export and import companies were excluded from applying the agreed tax rate due to the application of processing operation standards after the application of the FTA were analyzed, focusing on the Tax Tribunal precedents, and a literature study was conducted.
Findings - The results of this study analyzed through cases of appeal and verification of exclusion from application of the agreement are as follows.
Research implications or Originality - Research on FTA cases is active, but this study is differentiated in that it focuses on analyzing cases of exclusion from application of negotiated tax rates based on meeting the processing process standards applied to fields such as textiles and chemicals in FTA.
A New Clustering Approach for Anomaly Intrusion Detection
Authors: Bhavsar Nidhi S , Yadav Khushbu , Dipakkumar Pandya Darshanaben
Published: January 2024

This study looks into the possibilities and related challenges of using artificial intelligence (AI) to identify cancer. AI technologies have become attractive tools in oncology because of the growing complexity of medical data and the need for precise and timely cancer diagnosis. In reviewing the state of AI applications for cancer detection today, the paper focuses on biomarker analysis, medical imaging, and biomarker analysis. Additionally continuing conversation on how to use technology to improve cancer diagnostics' efficiency and accuracy while maintaining ethical norms and patient safety.
Summary of findings
Authors:   Conservation Effects Assessment Project,   United StatesNatural Resources Conservation Service
Published: January 2024

This report sumarizes the findings of the modeling comparison of the CEAP I and CEAP II surveys that looked at the adoption of conservation practices. The agricultural landscape is dynamic, shaped by public policy, technology, and natural resource drivers among others, which together affect farmer decisions and conservation trends. Comparison of the CEAP I and CEAP II surveys demonstrated that farmers’ adoption of conservation practices resulted in more cultivated cropland meeting loss thresholds for erosion, sediment, surface nitrogen and sediment-transported phosphorus. While use of advanced nutrient technologies increased, by CEAP II more cultivated cropland exceeded loss thresholds for subsurface nitrogen and soluble phosphorus, reflecting the growth in high-nutrient-demand crop varieties, the increase in conservation tillage systems, and the decline in nutrient incorporation. Nevertheless, most cultivated cropland in the United States is under moderate and high levels of conservation treatment, and opportunities exist to improve conservation performance using currently available tools
ЕФЕКТИВНІСТЬ ДЕРЖАВНО-ПРАВОВОГО РЕГУЛЮВАННЯ УПРАВЛІННЯ НЕБЕЗПЕЧНИМИ ВІДХОДАМИ
Authors: ПОЛЬЩА Владислав
Published: January 2024

Метою статті визначено встановлення ефективності державно-правового регулювання управління небезпечними відходами в Україні. Методологія дослідження автором обрана згідно із поставленою метою. До пріоритетних методів наукового пізнання в межах даного дослідження віднесено застосування структурно-логічного методу, методу аналізу та синтезу, методу порівняльного правознавства. Автором з’ясовано, що оптимізація режиму поводження з відходами в цілому, і зокрема, з відходами виробництва, що визначаються як «небезпечні» для України, так і для інших країн світу не втрачає своєї актуальності. Підкреслено, що встановлення належного адміністративно-правового регулювання використання небезпечних відходів є безумовною складовою механізму екологічної безпеки. Визначено, що відповідно до чинного законодавства України екологічна безпека є складовою механізму національної безпеки, а відтак відноситься до пріоритетних задач функціонування органів державної влади та місцевого самоврядування. Акцентовано увагу, що проблема державно-правового регулювання управління небезпечними відходами має визнаватися проблемою, що має міжгалузевий характер вивчення, що вимагає комплексного дослідження, та врахуванням думок вчених, що працюють не лише в межах юридичної науки, але і в межах технічно-інженерних дисциплін, економічних публікацій, праць з питань забезпечення вимог екологічної безпеки. Встановлено, що відповідно до чинного законодавства України «Про управління відходами» відходи поділено на « відходи, що не є небезпечними», тобто такі відходи, що не можуть бути охарактеризовані як відходи, що мають небезпечні властивості, які визначаються згідно із додатком 3 до зазначеного законодавчого акту; та на «безпечні відходи». Зроблено висновок, що практична цінність чинної редакції Закону України «Про управління відходами» полягає у встановленні переліку властивостей небезпечності відходів. Зроблено висновок, що на виконання вимог статті 339 Угоди про Асоціацію України з Європейським Союзом є необхідним встановлення спеціального режиму поводження з небезпечними відходами, що відноситься до заходів забезпечення ефективності євроінтеграційних процесів в Україні.