bluuebunny/crossref_metadata_2025_split huggingface dataset:
An imperial seal discovered at Argamum, Small Gate Sector (Scythia Minor)
Authors: Honcu Ștefan 
Published: February 2024

Abstract
In the archaeological campaign carried out in 2019, at Argamum, Small Gate sector, an imperial lead seal was found. On the obverse of the seal is stamped the face of an emperor, frontally depicted, with a beard, scepter on the left shoulder and two round fibulas placed on both shoulders. On the legend, arranged in a circle and partially preserved, we can read: Dominus Noster Theodosivs Avgustus. Imperial seals stamped with the effigy of Emperor Theodosius II have not been discovered until now in the territory of the province of Scythia Minor. The lead seal could be dated in the last two decade of the reign of the emperor Theodosius II.
Celtic ‘Guardians’ of the Central Polish Section of the Amber Route
Authors: Olędzki Marek , Podolska-Rutkowska Irena , Rutkowski Wojciech 
Published: February 2024

Abstract
The paper aims to provide cultural and chronological analysis of the late La Tène period artefacts discovered in the Prosna and Warta interfluve. The authors attempted to categorise them and assess their character, rank and significance. As a result, some categories of items, e. g. brooches, stripe-painted pottery, mirrors or knotenringe have been found to be imports originating from the south, i. e. from the areas of dense Celtic settlement, while coinage and blacksmithing products are believed to be of local provenance. Gold coinage based on the Boii system was well attested by the finds in the Janków II settlement, where individual components of a minting workshop and numerous coins being its final product were discovered. In turn, local Celtic blacksmithing is documented by the discovery of rich graves of blacksmiths and many elements of armament occurring in the discussed area, such as double-edged long swords and spearheads decorated with cut edges and acid-etched ornaments. Additionally, research demonstrates the existence of armed warriors whose remains were discovered in the cemeteries in Wesółki and Ciecierzyn. All the above must lead to the conclusion that in the LT D2 phase, equivalent to the A3 phase of the Prosna and Warta interfluve (as evidenced by the dispersion of materials), there existed a thriving centre of power of a local Celtic rix, or successive rixes, protected by groups of armed warriors. We believe that their power and prosperity expressed in gold coinage may have stemmed from their control over a significant section of the amber route which generated sufficiently high profits.
Peirce’s iconicity and his image-diagram-metaphor triad revisited: complements to Stjernfelt’s Sheets, Diagrams, and Realism
Authors: Nöth Winfried 
Published: February 2024

Abstract
This review article of Frederik Stjernfelt’s Sheets, Diagrams, and Realism (2022) argues that Peirce’s theory of iconicity with its subdivision into the image-diagram-metaphor triad must not be reduced to diagrammatic iconicity. The foundation of the triadic subdivision of the icon is not in Peirce’s diagrammatic logic but in Peirce’s cenopythagorean categories. A focus is on misinterpretations of Peirce’s concept of thirdness in the firstness of the icon. The paper argues that not only metaphors, but also comparisons, analogies, analogic arguments, and examples belong to the third class of icons.
Investigation of 90,92Zr(n,γ)91,93Zr in the s-process nucleosynthesis
Authors: Kabir Abdul , Abideen Zain Ul , Nabi Jameel-Un , Khan Dawar 
Published: February 2024

Abstract
The neutron capture rates and Maxwellian-averaged cross-sections (MACS) for 90Zr(n,γ)91Zr and 92Zr(n,γ)93Zr processes have been computed within the framework of Talys v1.96. The effects of phenomenological nuclear level density (NLD) parameters and the gamma strength functions (GSFs) on Maxwellian-averaged cross-sections and neutron capture rates are examined both quantitatively and qualitatively. The present model-based computed data for MACS and reaction rates gives a good comparison with the existing literature. The fine-tuning of the statistical model’s nuclear properties (level density and gamma-ray strength) to reproduce experimental data will allow the detailed investigation of the s-process network.
Synthesis, crystal structure, DFT calculations, and Hirshfeld surface analysis of a chlorido-bridged 1D manganese(II) coordination polymer
Authors: Feng Chao , Zhu Linlin , Guo Jing-Jing 
Published: February 2024

Abstract
A novel 1D Mn(II) coordination polymer, namely, [Mn3(bpz)2(MeCN)2Cl6]
n
(1) was synthesized by a solvothermal method based on bpz and MnCl2, where bpz is di(1H-pyrazol-1-yl)methane. The X-ray diffraction data show that the crystal structure of complex 1 is a one-dimensional polymer with two different coordination modes of the Mn(II) ions. The structure was modelled with Density Functional Theory (DFT) calculations and the intermolecular interactions were analyzed using the Hirshfeld surface method.
Chemoproteomic analysis of the pharmacological properties of vitamin В12 derivatives
Authors: Torshin I. Yu. , Gromova O. A. , Dereven’kov I. A. , Maiorova L. A. 
Published: February 2024

Background. Chemical derivatives of vitamin B12 are characterized by a wide range of pharmacological effects. It is important to learn how to establish relationships between changes of the corrin ring structure in vitamin B12 derivatives and changes in pharmacological properties.Objective: to evaluate the interaction of six vitamin B12 derivatives (aquacobalamin, diaquacobinamide, aquacyano-forms of heptaethanolamine, heptaethylenediamine, heptamethyl and heptabutyl cobyrinates) with human proteome proteins.Material and methods. Using the method of chemoinformational (chemoproteomic) analysis, implemented within the framework of algebraic recognition theory and topological data analysis, the constants of half-maximal inhibitory concentration (IC50) and half-maximal effective concentration (EC50) of human proteome proteins were assessed.Results. Significant differences were found in the interactions of the studied molecules with 1200 proteins. It was shown that the chemoproteomic profiles of each of the compounds form three groups of molecules with similar proteomic properties: (1) aquacobalamin, (2) diaquacobinamide, aquacyano-forms of heptaethanolamine and heptaethylenediamine cobyrinates, (3) aquacyano-forms of heptamethyl and heptabutyl cobyrinates. A more detailed analysis of the chemoproteomic profiles of the studied compounds using the GO (Gene Ontology) nomenclature of biological functions of proteins made it possible to identify functional GO categories indicating differences in the biological effects of the studied compounds: neuroprotective regulation of neurotransmitter activity (serotonin receptor activity, cholinergic synapses, regulation of dopamine secretion, receptor thyroid hormones), reduction of inflammation (inhibition of cytokine biosynthesis, including tumor necrosis factor alpha and interleukin 1 beta, I-kappa-B kinases / nuclear factor kappa В, leukocyte migration), etc.Conclusion. The profiles of differences in the pharmacological properties of the studied compounds with respect to their effects on neuroprotection, neurotransmitter metabolism, and inflammation were identified and described.
ASSESSMENT OF THE CONDITIONS OF THE FARMING HOUSEHOLDS IN NORTH COTABATO
Authors: Castillo Rey , Datukan1 Amhed Jeoffrey J. 
Published: February 2024

This study was conducted to assess the conditions of the farming households in North Cotabato as basis to reform the development of agri-preneurs in line with the country’s thrust of transforming farmers as entrepreneurs. The research analyzed the conditions of the farming households in North Cotabato in relation to the crops they produce. Stratified random sampling was employed in the collection of data from four hundred (400) farming households using a self-constructed questionnaire validated by the panel. Data generated were analyzed descriptively and by inferential statistics using analysis of Variance (ANOVA). The research revealed that the primary commodity produced is rice, followed by rubber and coconut. On the other hand, study revealed that respondents in the study are engaged in single farming, without Farming, and multiple farming.
Among the perceived conditions of the farming households the study also revealed that conditions in terms of infrastructure facility, market information, managerial skills and entrepreneurial competencies are ready and available for the farmers but neither agree nor disagree on the availability of the conditions in terms of market opportunity, access to credit facility, enabling environment, and government policies on entrepreneurial development. The result affirmed the hypotheses that significant differences in the conditions of the farming household when analyzed according to the crops produced.
The role of the motivational aspect in vocal students’ professional development
Authors: Chen Wenqi 
Published: February 2024

Importance. The necessity of using the motivational aspect in the professional training of music specialists, which contributes to the effectiveness of the educational process, is determined. A motivated student strives to constantly improve his skills, which allows him to become a professional in his field. The types of motivation that influence the vocal students’ professional development and various aspects such as vocal training, musical abilities development, music theory studying, working on performance technique and much more that contribute the vocalist’s professional development are revealed.Research Methods. Based on a theoretical analysis of specialized literature and systematization of materials from scientific sources, the role of the motivational aspect in vocal students’ professional development is substantiated.Results and Discussion. The possibilities of motivation that contribute to improving the quality of education and developing the personality of a vocal student are considered. The characteristics of the main methods that teachers use to motivate vocal students are given. Recommendations are offered for the use of motivation in the process of vocal students training.Conclusion. It is concluded that motivation contributes to the education quality improving, vocal student’s personality development and his successful adaptation in the modern world.
AI implications for vocational foreign language teaching and learning: new meaning
Authors: Aleynikova D. V. , Yarotskaya L. V. 
Published: February 2024

Importance. AI rapidly and dramatically transforms reality, which poses a problem for the new generation of university graduates coming into profession. Social sciences and humanities majors are concerned about the future of their careers and uncertain of professional skills in demand. This perspective piece argues in favor of shifting to interdisciplinary approach in higher education, with emphasis on integrative content embracing special knowledge, foreign language contexts and pertinent AI-mediated settings. The underlying idea is that in educational contexts, AI cannot only focus on procedural aspects – teaching techniques and management tasks; it is essential to provide language learners with a new professional scope of reference, which means changed curriculums, revised content, and new professions.Research Methods. The work relies on various qualitative methods of research: analysis of present day labour market in AI-mediated contexts of social sciences and humanities; analysis of literature covering the use of AI for foreign language teaching and learning; a descriptive and analytical method; methods of generalizing and systematizing the selected material; interpretive analysis. The materials include scientific works of Russian and foreign scientists and modern labor market data.Results and Discussion. Labour market analysis makes it possible to discover skills essential to a new generation of specialists in social sciences and humanities. In this respect, arguments for updating the content of teaching the majors in question are provided, and a discipline with adequate integrative potential is named. The interdisciplinary approach is illustrated with AI-mediated foreign language contexts of social sciences and humanities as part of the updated integrative content of the discipline “Foreign Language” to be mastered by students.Conclusion. The conducted research brings us to the idea that the discipline “Foreign Language” has a unique potential for preparing a new generation of graduates in social sciences and humanities underpinned by AI. Along with its traditional goal – developing a person’s communicative competence, essential in digital settings, it has good prospects of integrating special subject knowledge and its language correlates, necessary for the effective operation of AI algorithms in such areas, as well as for developing the “linguo-cognitive dimension” of professional activity adequate to these conditions.
Usuários de unidades de informação como elementos centrais para o acesso à informação e cultura
Authors: Rangel Thayron Rodrigues , Oliveira Lucia Maria Velloso de 
Published: February 2024

A presente resenha objetiva sintetizar a obra “A perspectiva social nos estudos de usuários em arquivos, bibliotecas e museus: teoria e prática”. Organizada por Andréia Sousa da Silva e Fernanda Frasson Martendal, o livro apresenta estudos de usuários em arquivos, bibliotecas e museus por um viés sociológico. A estrutura do livro divide-se em três seções: discussões epistemológicas, ensino e os estudos de usuários postos em prática. Apresenta em seus doze capítulos e no prefácio, uma discussão mais teórica. No decorrer da obra, não é possível identificar informações suficientes à compreensão da temática proposta no campo museológico. Além disso, há predominância de teóricos do campo da Biblioteconomia e Ciência da Informação, mesmo nos textos que tratam dos Estudos de Usuários nas áreas da Arquivologia e Museologia. A obra tem o mérito de ser uma das poucas obras dedicadas inteiramente ao assunto dos estudos de usuário, constantes na literatura brasileira, e apresenta algumas experiências internacionais. Sua tessitura traz a reflexão teórica, epistemológica, além de ensaiar de forma tímida, algumas práticas sobre o assunto nos campos dos Arquivos e Bibliotecas, exceto no campo dos museus.
Special Issue on Robotic, Mechatronic and Information Systems for Decommissioning
Authors: Kawabata Kuniaki ,   Editorial Office, Abe Fumiaki , Okada Satoshi , Tanaka Takayuki 
Published: February 2024

The Fukushima Daiichi Nuclear Power Plant accident, triggered by the Great East Japan Earthquake and the tsunami, has had a major impact on societies across the world. The subsequent focus on decommissioning efforts has attracted worldwide attention. It has been consistently asserted since the aftermath of the accident that the decommissioning of the Fukushima Daiichi Nuclear Power Plant will take approximately 30 to 40 years. The promotion of decommissioning work means that we will continue to face the problems with uncertainties in the work, as sometimes referred to as Unknown Unknowns.
Typical elemental technologies required in remotely operated robotic systems for decommissioning include mobile mechanisms and their control, handling mechanisms and their control, information communication, operation interface (information presentation and command input), shielding (radiation resistance) and so on. Although many tasks using remotely operated robotic systems have been carried out with noteworthy results, there are lingering issues yet to be clarified. To ensure the safe and effective execution of various types of decommissioning tasks over a period of several decades, continuous research and development of each elemental technology are imperative, and these technologies must be integrated into a system appropriately to the assumed tasks. In addition, human resource development and the transfer of knowledge and experience are also important issues.
From such viewpoint, this special issue is titled “Robotic, Mechatronic and Information Systems for Decommissioning.” It contains papers and development reports on robotics, mechatronics, information processing, and information systems technologies relevant to decommissioning work. It also features recent activities of nuclear emergency response organizations.
We hope this special issue will acquaint readers with the latest research and development results and organizational activities related to decommissioning. At the same time, we hope that we were able to provide readers interested in robots, mechatronics, and information technology with an opportunity to become aware of the issues and necessary perspectives related to decommissioning and nuclear disasters.
Lastly, we would like to thank the editorial board of the Journal of Robotics and Mechatronics, the editorial team of Fuji Technology Press, and the reviewers for their support in the planning and publication of this special issue. Their dedicated efforts are deeply appreciated.
Testing an mHealth System for Individuals with Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial
Authors: Park Linda S , Chih Ming-Yuan , Stephenson Christine , Schumacher Nicholas , Brown Randall , Gustafson David , Barrett Bruce , Quanbeck Andrew 
Published: February 2024

Abstract
Background: The extent of human interaction needed to achieve effective and cost-effective use of mobile health (mHealth) apps for individuals with mild to moderate alcohol use disorder (AUD) remains largely unexamined. This study seeks to understand how varying levels of human interaction affect the ways in which an mHealth intervention for the prevention and treatment of AUDs works or does not work, for whom, and under what circumstances.
Objective: The primary aim is to detect the effectiveness of an mHealth intervention by assessing differences in self-reported risky drinking patterns and quality of life between participants in three study groups (self-monitored, peer-supported, and clinically integrated). The cost-effectiveness of each approach will also be assessed.
Methods: This hybrid type 1 study is an unblinded patient-level randomized clinical trial testing the effects of using an evidence-based mHealth system on participantsâ€™ drinking patterns and quality of life. There are two groups of participants for this study: individuals receiving the intervention and health care professionals practicing in the broader health care environment. The intervention is a smartphone app that encourages users to reduce their alcohol consumption within the context of integrative medicine using techniques to build healthy habits. The primary outcomes for quantitative analysis will be participant data on their risky drinking days and quality of life as well as app use from weekly and quarterly surveys. Cost measures include intervention and implementation costs. The cost per participant will be determined for each study arm, with intervention and implementation costs separated within each group. There will also be a qualitative assessment of health care professionalsâ€™ engagement with the app as well as their thoughts on participant experience with the app.
Results: This protocol was approved by the Health Sciences Minimal Risk Institutional Review Board on November 18, 2019, with subsequent annual reviews. Recruitment began on March 6, 2020, but was suspended on March 13, 2020, due to the COVID-19 pandemic restrictions. Limited recruitment resumed on July 6, 2020. Trial status as of November 17, 2021, is as follows: 357 participants were enrolled in the study for a planned enrollment of 546 participants.
Conclusions: The new knowledge gained from this study could have wide and lasting benefits related to the integration of mHealth systems for individuals with mild to moderate AUDs. The results of this study will guide policy makers and providers toward cost-effective ways to incorporate technology in health care and community settings.
Research on Privacy Security Risk Evaluation of Mobile Commerce Users based on Information Entropy and Markov Theory
Authors: Wang Jia , Gao Tilei 
Published: February 2024

Abstract
To apply for precise personalized services in mobile commerce, the users have to disclose their personal information to the operator, which constitutes a potential threat to their privacy security. In this paper, a mobile commerce privacy security risk evaluation model is established based on information entropy and Markov theory, and effective security risk measurement and evaluation method is put forward. In this way, accurate and quantitative privacy disclosure risk evaluation results are provided, to guide the users’ selection of safe mobile commerce applications and protect their privacy security.
Artificial Intelligence and Its Impact on Educarist's Innovative Behavior: A Survey Exploration Guided by Rogers' Theory of Innovation
Authors: Tang Xuan , Zainal Siti Rohaida 
Published: February 2024

Abstract

This research is located at the exciting juncture of Artificial Intelligence (AI) and education, with the specific aim of understanding how AI technologies, including Machine Learning (ML), Natural Language Processing (NLP), and Robotics affect the innovative behavior of Educarist, guided by Rogers' Theory of Innovation. It uses the theoretical underpinnings of innovation in education and the burgeoning role of AI in shaping pedagogical approaches. The study used a survey-based method to gather and analyze data from 205 Educarists in Guangdong province, China. This data underwent rigorous statistical scrutiny, including structural equation modeling, to discern the relationships between various AI technologies and innovative behaviors in early childhood education. The key findings show that NLP and Robotics play a significant role in stimulating innovative behavior among Educarists. Interestingly, despite the growing application of ML in education, its influence on innovative behavior was found to be statistically insignificant. Additionally, the analysis uncovers intriguing interrelationships among the AI technologies themselves, showing a possible synergistic effect of these technologies on innovative behavior. This research contributes to the expanding literature that explores the intersection of AI and education, supplying valuable insights into how specific AI technologies can mold innovative teaching practices. The novelty of this research lies in its empirical investigation into the impact of three different AI technologies and their interrelationships on the innovative behavior of Educarists. Nevertheless, it acknowledges its scope and generalizability limitations due to the specific sample of Educarists involved. The unexpected finding concerning the role of ML in fostering innovation presents an intriguing avenue for further research. It needs a deeper exploration into the contextual factors that influence this relationship.