bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Category of Thirdness in the New Mechanical Philosophy
Authors: Jurková Barbora 
Published: January 2024

Abstract
This paper discusses some of the possible connections between the principles of modeling in the new mechanical philosophy and the modeling used by Charles S. Peirce in his work on categories and evolutionary theory. The main goal is to show that the theoretical approaches used in the new mechanism can be beneficial for disciplines that are not clearly labelled as either humanities or natural science – for example, biosemiotics – and that this philosophical movement can help close the gap between natural science and the humanities. In individual chapters, this text deals with: the difference between the doctrine of the universal mechanism and the doctrine of the new mechanism, exploring the concept of the category of Thirdness and evolutionary theory in the work of Charles S. Peirce and finally focusing on the similarities between Peirce’s work and the approach of the new mechanical philosophy.
The Challenge of Positioning Space and Time in Systemic Studies of Animal Utterances as Both Embodied and External Contexts
Authors: Ongstad Sigmund 
Published: January 2024

AbstractAnimal utterances are metastudied based on a framework describing relations between aspects of utterance, genre, and lifeworld,form, content, act, time, andspace.The study concerns a set of problems: How is context perceived theoretically and empirically? Where are time and space positioned? Is time and space studied separately or as chronotope, as spacetime, as a whole? What does embodied context mean? What are systemic studies? Of the studies two focus on systemic projects, two on complexity and contextual variations, two on time and space as separate phenomena, and three on spacetime. Since aspects such as signs, utterances, and genres evolved before language, they presumably constituted animals’ communicational system, working as a resource for communication even for all species, hominids and humans included. Studying such elements challenges how we conceive how they interrelate, especially in spacetime. The study revealed that spacetime was mostly positioned outside utterances and only occasionally as embodied. Integration of all key elements was not found in the excerpt.
Nationality issues on Polish maps prepared for the Paris Peace Conference 1919–1920
Authors: Barwiński Marek 
Published: January 2024

Abstract
The military and political outcome of World War I, and the deliberations of the Paris Peace Conference, offered a real chance for the rebirth of Polish statehood. A key issue was the justification of Poland’s future territorial shape, in which ethnic issues played a significant role alongside historical, economic and strategic criteria.
The aim of this paper is to show and discuss selected archival nationality maps, often of an expert nature, produced by Polish scholars for the purpose of negotiating the territorial extent of Poland during the Paris Peace Conference. To what extent were they an attempt at an objective representation of the national reality of the Polish territory, and to what a subjective perception and experience of space by the authors of the maps? What were the aims and ideas of their creators, what did they want to achieve? To what extent did the political reality of the time determine their behaviour?
Hybrid Flatness-Based Control of Dual Star Induction Machine Drive System for More Electrical Aircraft
Authors: Nesri Mokhtar , Nounou Kamal , Sifelislam Guedida , Benkhoris Mohamed Fouad , Azeddine Houari 
Published: January 2024

Abstract
This paper develops a precise method control system for tracking control of a power drive system based on a multi-phase machine under motor parameter and load torque variations. By adding a simple feedforward term based on the flatness theory, a conventional flux oriented control (FOC) can be enforced to have a perfect tracking performance under model parameter and load torque variations. Hence, a hybrid flatness-based control (HFBC) technique is applied to the control of a dual star induction machine (DSIM) and compared to a classical vector control strategy regarding tracking behaviour, robustness, and perturbations rejection. Finally, the simulation and experimental results are provided to verify the effectiveness of the proposed HFBC under uncertainties such as motor parameter and load torque variations. Furthermore, an enhancement of the drive system’s control performances is demonstrated by the improvement of the technique of separation of the objectives of tracking and disturbance rejection. The simulation and experimental results are presented, demonstrating the superiority of the HFBC.
The IDEA Center for Public Gardens: programmes empowering positive change
Authors: Plummer Mae Lin 
Published: January 2024

Public gardens as cultural institutions must be spaces that put human connection and a sense of belonging at the centre of the organization if they want to be relevant in an increasingly socially aware society. We have a responsibility to do better and right the harmful and exploitative wrongs of the past that continue to uphold systemic inequities. Public gardens can uplift communities around us and expand the identity of who we are and who we serve, without abandoning or shaming historical legacies.

The IDEA Center for Public Gardens™ (the Center) was launched January 2022 as a partnership between Denver Botanic Gardens and the American Public Gardens Association, with support from the Institute of Museum and Library Services (IMLS MG-249862-OMS-21). Its aim is to empower public gardens to prioritize and champion diversity and inclusion initiatives within our industries and beyond. Living and working from the principles of IDEA can be an incredibly enriching and uplifting experience, and a journey to be celebrated. The Center does this by offering intensive peer-to-peer cohorts to develop practices, fund scholarships and speakers at conferences and symposia, and building alliances and partnerships to create collaborative unity across cultural institutions. A case study is included here describing how Naples Botanical Garden Florida incorporated IDEA principles into its annual theme for a year-round initiative to welcome new audiences and enhance staff inclusion in botanic garden activities. The Center is a call to action and an invitation to help improve the world one change at a time.
Deforestation of Brazilian Amazonia: Temporal Analysis and Mitigation Proposals
Authors: Gomes José Maria da Silveira , Rodrigues Caio Castro , De Castro Gledson Luiz Salgado , Zissou Alex de Jesus , Morais Emerson Cordeiro , Campos Pedro Silvestre da Silva , Chase Otavio Andre , Farias Paulo Roberto Silva 
Published: January 2024

Objective: The aim of this research is to analyze deforestation in the Brazilian Amazon region since 1988, identifying patterns and determining factors. Additionally, it seeks to propose solutions to reduce the advancement of deforestation in the region.

Theoretical reference: The theoretical framework of this research is based on concepts and theories related to deforestation, including previous studies on the impacts and causes of deforestation in the Legal Amazon.

Methodology: The method used in this research is time series analysis, utilizing reliable data from satellite images and official reports. The analysis includes evaluating trends over time, identifying determining factors through regression analyses, and assessing ecological, social, and economic impacts.

Results and Conclusion: The results reveal significant changes in deforestation rates over the analyzed period. They also identify key driving factors such as agricultural expansion, infrastructure development, and land-use dynamics. The impacts of deforestation, including biodiversity loss and the displacement of indigenous communities, are highlighted.

Research Implications: The implications of this research are extensive and cover public policies, conservation practices, and sustainable development. It emphasizes the need for immediate actions to curb deforestation, protecting biodiversity, ecosystem services, and the rights of indigenous communities.

Originality/Value: The originality of this research lies in the combination of time series analysis with the proposal of comprehensive solutions to the problem of deforestation in the Brazilian Amazon. According to this study, time series analysis revealed that the main implications for deforestation in the Legal Amazon are associated with mining and soybean cultivation.
Selenium in Acmella Oleracea (l.) R. K. Jansen Grown in Hydroponics: Thresholds Between Biofortification and Toxicity
Authors: De Oliveira Eder Silva , De Oliveira Gilmara Maureline Teles da Silva , Silva Junior Mario Lopes , Bittencourt Ricardo Falesi Palha de Moares , De Loureiro João Paulo Borges , De Santana Antônio Cordeiro , Ribeiro Hebe Morganne Campos , Bordalo Adriana Oliveira , Da Silva Mônia Maria Carvalho 
Published: January 2024

Objective: With the possibility of using non-conventional food plants to minimise the impact of nutritional deficiencies in selenium, this research sought to determine the levels of maximum absorption efficiency and tolerance of Acmella Oleracea to the element.

Theoretical background: Almost 1 billion people in the world are deficient in selenium (Se). As it is a fundamental element for human health, vegetable biophotification programmes, as a form of nutritional supplementation, have covered a range of plants such as lettuce, basil, rice, corn, among others.

Method: In a completely randomised experiment, 60 plants were grown in hydroponics, supplemented with Se at doses of 5, 10 and 20 mg.L-1, plus a control. Biometric and physiological variables and Se content in Acmella Oleracea were measured. Factor analysis was used to measure the effects of Se and the plant's dose/response relationship.

Results and conclusion: Acmella Oleracea grew and assimilated 818.72±58.59 µg.kg-1 in the aerial part when exposed to a dose of 5 mg.L-1 for 28 days, differing positively from the control plants. The maximum dose that the plant tolerated, already showing signs of toxicity, was 10 mg.L-1 for 28 days.

Research implications: This research has implications for the way Acmella Oleracea is managed and can be used as a guide in the breeding process, making this plant an alternative for mitigating Se malnutrition in various parts of the world, especially in the Amazon.

Originality/value: This research is original and in line with the objectives of sustainable development and socio-environmental management, as it shows that the use of unconventional vegetables that are often adapted to various regions of the planet can be a viable alternative to mitigate the various forms of malnutrition and food insecurity.
A comparison of visual acuities obtained following biometry measurements by contact and immersion A-scan techniques
Authors: Darade Dnyanoba M. , Naik Hrishikesh Dilip , Puranik Mudra Anand 
Published: January 2024

Objectives:
This study aimed to obtain and compare ocular biometry measurements in terms of axial length, anterior chamber depth, and lens thickness by contact and immersion ultrasound techniques of A-scan and compare postoperative results in terms of visual acuity and spherical refractive error obtained by each of these techniques.

Materials and Methods:
This study was a prospective cohort and a comparative study that was done on 188 eyes under evaluation for cataract surgery. Out of these, 94 eyes were evaluated for biometry measurements using the immersion technique, and the rest were evaluated using the contact technique. Intraocular lens (IOL) powers were calculated using each of the above biometry parameters, and postoperative visual outcomes were obtained in terms of visual acuity and spherical refractive error. Results of demographic, clinical, and biochemical characteristics were expressed as range, mean, and median. For qualitative data, the Chi-square test and for comparison, Students’ unpaired t-tests were used. TAQhe statistical software SPSS Statistics was used to analyze the data. Microsoft Office Word and Excel 2019 were used to generate graphs and tables. P<0.05 was considered as significant.

Results:
Visual acuity was significantly better in the patients who underwent IOL implantation whose power was calculated by the immersion method on the 1st postoperative day. However, there was no significant difference in the final corrected visual acuity. Spherical refractive error at the end of 1 month was significantly greater in patients who underwent IOL power calculation by the contact method as compared to the immersion method.

Conclusion:
The immersion method of A-scan gives a lesser refractive error postoperatively and is a more precise method of biometry, though there is no difference in the final visual acuity obtained by either of these methods.
Recommendation Model for Learning Material Using the Felder Silverman Learning Style Approach
Authors: Hasibuan M. S. , Abdul Aziz R. Z. , Dewi Deshinta Arrova , Kurniawan Tri Basuki , Syafira Nasywa Aliyah 
Published: January 2024

The biggest obstacle that students have when participating in a virtual learning environment (e-learning) is discovering a platform that has functionalities that can be customized to fit their needs. This is usually accomplished in several ways using educational resources such as learning materials and virtual classroom design elements. Our research has tried to meet this demand by suggesting an extra element in the virtual classroom design, i.e., classifying the students’ learning styles through machine-learning techniques based on information gathered from questionnaires. This feature allows teachers or instructors to modify their lesson plans to better suit the learning preferences of their students. Additionally, this feature aids in the creation of a learning path that serves as a guide for students as they choose their course materials. In this study, we have selected the Felder-Silverman Learning Style Model (FSLSM) in the questionnaire design, which focuses on identifying the students' learning styles. After that, we employ several machine learning algorithms to create a prediction model for the students’ learning styles. The algorithms include Decision Tree, Support Vector Machines, K-Nearest Neighbors, Naïve Bayes, Linear Discriminant Analysis, Random Forest, and Logistic Regression. The best prediction model from this exercise contributes to the recommendation model that was created using a collaborative filtering algorithm. We have carried out a pre-test and post-test method to evaluate our suggestions. There were 138 learners who were following a learning path and participated in this study. The findings of the pretest and post-test indicated a notable increase in students' motivation to study. This is confirmed by the fact that learners' satisfaction with online learning climbed to 87% when the learning style was considered, from 60% when it wasn't. Doi: 10.28991/HIJ-2023-04-04-010 Full Text: PDF
Enhancing Trustworthiness and Interoperability of Electronic Voting Systems through Blockchain Bridges
Authors: Rexha Blerim , Neziri Vehbi , Dervishi Ramadan 
Published: January 2024

Decentralized applications leveraging blockchain technology are gaining widespread adoption within the decentralized applications ecosystem. Interoperability, a fundamental concept facilitating seamless data and processing power exchange across diverse blockchain networks, is paramount in this context. The primary objective of this paper is to explore the transformative potential of "blockchain bridges" in facilitating secure and transparent electronic voting processes across multiple blockchain networks. The study employs a comprehensive analysis of various approaches, including atomic exchanges, sidechains, cross-chain bridges, token wrappers, and interledger protocols. The selection of a specific method is guided by the unique requirements and privacy considerations of the electronic voting use case. The application of two distinct blockchains serves as a practical demonstration, illustrating the principles of blockchain bridges in real-world scenarios. The research reveals that blockchain bridges not only streamline the exchange of data between diverse blockchain networks but also establish a dual decentralization paradigm. This paradigm enables the creation of openly maintained, purpose-specific, decentralized ledgers for electronic voting. The integration of blockchain bridges significantly reduces the risk of fraud, instilling greater confidence in the accuracy of election results. Thus, by presenting a comprehensive array of approaches and emphasizing their practical application, this research contributes to advancing the understanding and implementation of blockchain technology in the critical domain of electronic voting. Doi: 10.28991/HIJ-2023-04-04-04 Full Text: PDF
Reinventing Formulas for Construction Project Delay Index Due to Management and Production
Authors: Luthan Putri Lynna A. , Sitanggang Nathanael , Syafriandi Syafriandi 
Published: January 2024

The objective of this study is to construct a precise formula for the management and production delay indicators that are integrated into Ms. Project's dashboard. Two simulation techniques, such as the manual formula computation and calculation integrated into the Ms. Project dashboard, were employed. Due to management and the production team's tardiness, the data were obtained through trial-and-error methods. Excel was used to analyze the data, and Ms. Project was used to enter the calculations. The research showed that the Ms. Project dashboard formula gave more detailed information about the construction project, including: (1) contract value; (2) actual progress value during monitoring; (3) value of plan progress during monitoring; (4) progress deviation; (5) cause of delay; and (6) management delay index and production delay index. The novelty of this study is that project delays have traditionally been held against the production party (contractor), whereas implementation delays have never been taken against the management party (consultant). However, using this method makes it evident who is responsible for a project delay, whether it comes from management (a consultant) or the manufacturing side (a contractor). Doi: 10.28991/HIJ-2023-04-04-06 Full Text: PDF
Color Analysis of Cloud Brocade Pattern by Image Style Transfer
Authors: Wu Chuanqi 
Published: January 2024

With the continuous improvement of the level of science and technology, the design method of cloud brocade pattern has gradually changed from the traditional process of color halo, white, and gold stranding to the modern design process, such as the synthesis of cloud brocade line pattern based on the transfer of image style. But back to reality, this method still has problems such as blurred outline and mixed colors, which is not conducive to the transfer of cloud brocade style pictures. Based on this, the paper will use the cloud brocade pattern style transfer color optimization model to analyze the color of the cloud brocade pattern in order to get a better cloud brocade style effect map. The results show that the average similarity of the local migration algorithm is 0.348, while the average similarity of the local migration algorithm based on color optimization is 0.378, which is 8.62% higher than that of the local migration algorithm. After 1600 iterations, the average running time of the local migration algorithm is 13.65s, and the running time of the local migration algorithm for color optimization is 12.46s. It can be seen that the local migration algorithm based on color optimization has obvious advantages in both comprehensive similarity and running time and can provide new ideas and references for the current design of Yunjin pictures. Doi: 10.28991/HIJ-2023-04-04-07 Full Text: PDF
Relationships between Brand Value and Country's GDP
Authors: Puriwat Wilert , Tripopsakul Suchart 
Published: January 2024

Brand development has emerged as a critical strategy for economic prosperity where assets from both physical and nonphysical sources significantly influence a nation's economy. However, the impact of these intangible assets on economic growth still requires further clarification. This study aims to investigate the relationship between nation brand value and economic growth and to examine whether this impact varies depending on countries' income levels. Based on data from the global soft power index and gross domestic product (GDP) of 120 countries from Brand Finance Nation Brands and Word Bank in 2022, linear regression and moderation analysis results reveal that nation brand values positively impact national economic growth. The results of the moderation effect analysis by the PROCESS macro reveal that the impact of nation brand value on economic growth is significantly more substantial for lower-income economies than for higher-income economies. Our study is one of a few attempts to clarify the effect of nation brand value on a nation's economic growth. The outcome of this research provides more understanding for exploiting the nation brand development concept to create a superior competitive advantage, consequently leading to the prosperity of nation economies. Doi: 10.28991/HIJ-2023-04-04-08 Full Text: PDF
Implementasi Machine Learning Dengan Metode Text Mining Pada Twitter
Authors: Sulaiman Hamdun , Ryansyah Muhamad , Widianto Kudiantoro , Sidik Sidik , Nugraha Andria 
Published: January 2024

Currently PT. Telkom Indonesia (Indihome), uses the role of social media as a form of concern for its customers to handle complaints. Tweets from indihome customers on social media twitter are handled by the customer service division of Indihome. The manual of the categorization process carried out by the customer service division of Indihome on every narration of the "complain" complaint tweet that goes to @indihome twitter, makes the process considered inefficient. The purpose of this research is to provide solutions related to the problem of categorizing complaint tweets and to develop tools that can extract the narration of "complain" tweets in Indonesian. The research method used is comparative. On the other hand, gataframework and rapidminer tools are also used in this research to assist in preprocessing and cleaning of datasets to help create corpus and sentiment analysis. The total dataset after cleansing and preprocessing is 1,510. Based on the method proposed in this study on the Support Vector Machine classification algorithm, the highest category was found to have 82.42% accuracy, 75.33% precision, and 98.75% recall with an AUC of 0.826
Field Comparison of Carbon Dioxide Source with Biogents Sentinel-2 and Pro Traps for Adult Aedes Mosquito Surveillance
Authors: Cilek J. E. , Jiang Y. X. , Dejesus C. E. 
Published: January 2024

ABSTRACT
The BG Sentinel-2 (BGS-2) and BG-Pro traps (BGS-2 configuration) were compared for their effectiveness to collect Aedes vectors and related nuisance mosquitoes in north central Florida during 2022. Traps were baited with either dry ice pellets, pressurized carbon dioxide (CO2) gas, or the novel BG yeast-derived CO2 generator. Additionally, each trap was fitted with the BG Sweetscent lure. Sixteen species were collected including Aedes albopictus and Ae. aegypti, which accounted for about 20% of the collections. The BGS-2 collected more mosquitoes compared to the BG-Pro, but the relative percent abundance of each species to total collection from each trap type was similar. Overall mosquito abundance was significantly greater in both trap types baited with dry ice compared with the other CO2 sources. Significantly more Ae. albopictus were collected from BGS-2 traps baited with dry ice than all other CO2 and trap configurations. Lastly, we did not observe any significant differences in Ae. aegypti abundance between trap type or CO2 source.