bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generative AI in the Manufacturing Process: Theoretical Considerations
Authors: Doanh Doung Cong , Dufek Zdenek , Ejdys Joanna , Ginevičius Romualdas , Korzynski Pawel , Mazurek Grzegorz , Paliszkiewicz Joanna , Wach Krzysztof , Ziemba Ewa 
Published: December 2023

Abstract
The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of the Industry 4.0 field have been considered, such as the design of new products, workforce and skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, and marketing strategy. The paper adopts qualitative research based on a critical review approach. It provides evidence of the GAI technology support in the mentioned areas. Appropriate use of emerging technology allows managers to transform manufacturing by optimising processes, improving product design, enhancing quality control, and contributing to overall efficiency and innovation in the industry. Simultaneously, GAI technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks, improve a marketing strategy and identify market trends.
Investigation into the Key Barriers to Achieving UK “Construction 2025” Strategy Targets
Authors: Dziekonski Krzysztof , Mascarenhas Francis , Mahamadu Abdul Majeed , Manu Patrick 
Published: December 2023

Abstract
The “Construction 2025” is a United Kingdom (UK) Government Strategy introduced in 2013 to improve the construction industry in the United Kingdom by meeting outlined performance targets by 2025. However, with only a few years left to reach the targets, it is unclear how much industry is advancing to meet them. This paper reviews the progress to achieve the Strategy targets. The data collected from 96 UK construction professionals was utilised to assess the key barriers to achieving the UK “Construction 2025” Strategy targets. Results indicate that industry professionals are uncertain about reaching the reduction in overall cost and time targets by 2025. However, they are more positive about reducing greenhouse gas emissions and the trade gap. In terms of the key barriers, the results revealed a reluctance to adopt change, lack of implementation of new technology, fragmentation in the industry, and failure to adopt modern construction methods as the key barriers to the Strategy targets. The research is the first attempt at a comprehensive assessment of the progress and barriers to the UK “Construction 2025” Strategy. The results reinforce the call for government initiatives to transform the industry.
Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
Authors: Apeinans Ilmars , Litavniece Lienite , Kodors Sergejs , Zarembo Imants , Lacis Gunars , Deksne Juta 
Published: December 2023

Abstract
This article provides a systematic review of innovations in smart fruit-growing. The research aims to highlight the technological gap and define the optimal studies in the near future moving toward smart fruit-growing based on a systematic review of literature for the period 2021–2022. The research object is the technological gap until the smart fruit-growing. The research question of the systematic review was related to understanding the current application of vehicles, IoT, satellites, artificial intelligence, and digital twins, as well as active studies in these directions. The authors used the PRISMA 2020 approach to select and synthesise the relevant literature. The Scopus database was applied as an information source for the systematic review, completed from 10 May to 14 August 2022. Forty-three scientific articles were included in the study. As a result, the technology gap analysis was completed to highlight the current studies and the research trends in the near future moving toward smart fruit-growing. The proposed material will be useful background information for leaders and researchers working in smart agriculture and horticulture to make their strategic decisions considering future challenges and to optimise orchard management or study directions. Considering the current challenges, authors advise paying attention to decision-making, expert, and recommendation systems through the digital twin paradigm. This study will help the scientific community plan future studies optimising research to accelerate the transfer to new smart fruit-growing technologies as it is not sufficient to develop an innovation, but it must be done at the appropriate time.
The Potential of Informal Institutions in Promoting Green Enterpreneurship (Ge) and Sustainable Socio-Economic Development
Authors: Prasetyo P Eko , Azwardi  , Kistanti Nurjannah Rahayu 
Published: December 2023

Abstract
The continuity of the green environment, economy, and entrepreneur-ship is essential for sustainable development. Therefore, this research aims to explored the potential of informal institutions in promoting Green Enterpreneurship (GE) and sustainable socio-economic development. The method employed used microeconomic data rooted in local wisdom, social norms, and localized moral commitments from various regions of Indonesia. Data collection comprised surveys and structured interviews relevant to the research objectives. Quantitative data material was obtained by conducting a field survey of 150 household samples of green entrepreneurship respondents taken representatively in various regions using simple random sampling techniques. The design employed a two-stage mixed-method approach, including exploratory and explanatory designs. The result showed the significance of Green Enterpreneurship (GE) in mitigating the impacts of global climate change and economic crises, thereby contributing to the attainment of sustainable development goals. However, the main results of the research confirm that the capacity of formal institutions has not been able to navigate the complexity of these problems isssues is limited. Conversely, informal institutions, though capable of mitigating global climate change and advancing sustainable development, remained localized and lacked national and global integration and collaboration. Green Enterpreneurship (GE), as a form of social innovation, gave rise to new models of socio-economic solidarity within unique local communities. The research also underscored the pivotal role of informal institutions in facilitating these endeavors, thereby filling a void in high-quality new institutional economic theory
Demographics’ Impact on Economic Growth in Central Europe and the Baltic States
Authors: Khachatrian Valentyna , Nepytaliuk Anton , Pasichnyi Mykola , Nasibova Olha , Tabenska Julia 
Published: December 2023

Abstract
To ensure sustainable development and public welfare, the complex impact of demographic factors on macroeconomic dynamics should be investigated properly. Moreover, a few of the Sustainable Development Goals are interconnected robustly with demographic issues. There are some trends (e.g., substantial increase in longevity, rapidly lowered fertility, etc.) common for most advanced and emerging market economies. We examined the impact of selected socio-demographic factors on the real GDP per capita growth rates in a sample of the Baltic states and the Central European countries that have experienced economic transformations in the 1990s and either entered or declared their intentions to join the European Union in the future. We investigated general demographic dynamics in the region from 1960 to 2021. Due to the data availability, our special attention was focused primarily on the highlighted countries’ socio-demographic and macroeconomic variables from 2000 to 2021. We suggested that there was a certain interdependence between the working age population stratum specific weight, the elderly demographic dependency ratio, public healthcare spending, gross capital formation, and the real GDP per capita growth rates. In addition, we propose the main priorities for social and demographic policy in the field of well-being improvement. The potential ways to enhance the model – regarding healthcare, education, and the general profile of fiscal policy – have been disclosed as well.
How principals identify low-performing teachers in public schools? Evidence from Chile
Authors: Aravena Felipe 
Published: December 2023

Abstract
This research aims to explore how school principals determine whether they have low-performing teachers among their staff. Semi-structured interviews were conducted with 24 principals in Chilean public schools. The qualitative research entailed an inductive approach, along with an interview methodology and content analysis to investigate the research questions. Principals rely on three main sources of information to identify low performing teachers: classroom observations carried out by principals and senior leaders, parents’ complaints and students’ comments. However, there is no single common approach for identifying low-performing teachers, even within the same school district. This study is the first to report on low-performing teachers in Chile from the perspective of school principals.
Beyond Methods: Theoretical Underpinnings of Triangulation in Qualitative and Multi-Method Studies”
Authors: Vivek Ramakrishnan , Nanthagopan Yogarajah , Piriyatharshan Sarmatha 
Published: December 2023

Abstract
This paper explores the “triangulation approach” in social science research methods. Triangulation is an emerging method specifically in qualitative and multi-method studies. Researchers in the social sciences have increased their use of the triangulation approach recently due to the merits of this approach, especially to conduct in-depth studies through multiple inquiries. Simultaneously, this method has criticism and misconceptions among social researchers in terms of what it is, how it can be used, and the credibility of the findings when used. Therefore, this paper analyses in depth what triangulation is, the types of triangulations and how they can be applied in the social sciences.
The study basically adopted systematic literature review and used 30 articles published in scientific journals. The paper critically reviewed journal articles related to triangulation, revealed how different types of triangulation methods have been applied in the social sciences and highlighted the merits and cautions of applying this method.
The paper theoretically contributes to understanding the phenomenon of the triangulation approach and how it connects with qualitative and multi-method studies. In addition, it revealed that the following data collection techniques from multiple sources can be exploited: in-depth interviews, focus group discussions, literature, documents, and surveys on the triangulation method to improve the credibility and reliability of the research. Furthermore, the study empirically contributes to social science researchers applying this approach with proper understanding.
Resting state functional magnetic resonance imaging: an analysis of the connectivity of brain large-scale networks
Authors: Abdulaev Shamil K. , Tarumov Dmitriy A. , Bogdanovskaya Anna S. 
Published: December 2023

Objective: To assess the possibilities of various methods for analyzing the functional integration of large-scale brain neural networks in healthy subjects according to functional MRI resting state.Material and methods. Functional MRI at rest was performed on 28 healthy male subjects aged 27.4 ± 5.1 years, without bad habits and craniocerebral injuries. A functional evaluation of large-scale neural networks included in the triple network model was carried out: default mode network, salience network, executive control network.Results. The analysis of independent components made it possible to fully identify the default mode network and the salience network, however, the executive control network were partially identified, and this mainly concerned structures with a bilateral location. Graph analysis has identified structures of greatest value for neurofunctional research. Almost all structures that have the highest graph indicators are related to the executive control network. The results of the Roi-analysis showed the interaction between all large-scale networks, which indicates their joint work in providing important brain functions. It was also determined that in healthy people, all structures within large-scale networks are functionally interconnected.Conclusion. Different methods of resting functional MRI data analysis reveal different aspects of connectivity in the brain, completely different principles are involved in the processing of each method, and the final quantification parameters also vary depending on the preferred method. Currently, there is no single method that in itself would be considered the standard of analysis. Applying multiple methods to the same dataset can produce more informative results.
Multiple use of Shrubble-Arboreaal Species of a Cerrado Fragment, Northern Region of the Legal Amazon
Authors: Da Silva Renata Carvalho , Amorim Marcos Vinicius  de Melo , Aguiar Bruno Aurélio Campos , Sousa Hygor Gomes de Almeida , Vasconcelos Weuler Alves , Epifânio Maristela Lima Figueiredo Guimarães , Fonseca Ana Clara Carneiro , De Souza Priscila Bezerra 
Published: December 2023

Objective: This research aimed to evaluate the floristic composition and the potential of shrub-tree species in a fragment of cerrado sensu stricto, in the northern region of the Legal Amazon.

Method: In an area of ​​Cerrado sensu stricto, the inventory was carried out using the fixed area sampling method. With this, all shrub-tree species with a diameter ≥ 10 cm were measured and phytosociological analyses, dyspesion syndrome and diameter distribution were determined.

Result and Conclusion: According to the variables analyzed, it was possible to observe the establishment of new individuals in the diameter classes of 1 to 8.1 cm and 8.2 to 16.3 cm, therefore it can be seen that the species are part of the same ecological groups, that is, early and late, thus indicating high regenerative value due to the high entry of individuals, which allows a favorable ascension to mature successional stages.

Researchimplications: Research related to phytosociological studies, dispersion syndrome and diametric distribution of shrub-arboreal species is of utmost importance to assess the diversity of Cerrado areas, mainly given the fact that it is the biome that is most currently being suppressed.

Originality/value: The potential for using the Cerrado's phytodiversity is extremely important and due to agricultural development, species may disappear, in this way, the aim is to increase the level of knowledge of Cerrado species. With this, determine the timber and non-timber potential, in addition to relating dispersal syndromes and diameter distribution, in order to characterize the regenerative potential of these species.
Design-Variable Hypernetworks for Flowfield Emulation and Shape Optimization of Compressor Airfoils
Authors: Duvall James , Joly Michael , Duraisamy Karthik , Sarkar Soumalya 
Published: December 2023

Deep-learning-based flow emulators are used to predict the flowfield around parametrically defined airfoils and then used in place of Reynolds-averaged Navier–Stokes solvers in design optimization. The flow emulators are based on a) decoder convolutional neural networks, which generate solution snapshots in the computational domain, and b) design-variable hypernetworks, which provide pointwise predictions in physical space. The flow emulators are used to predict parametric subsonic and transonic compressor flows in an industrial design use case with baseline geometry corresponding to the NASA rotor 37. Both methods are effective in representing unseen subsonic airfoil flowfields, with mean errors less than 1%. The hypernetwork-based method generalizes more effectively under transonic conditions and is used in place of computational fluid dynamics (CFD) to drive shape optimization at varying rotor speeds. Under transonic conditions and at nominal speed, the emulator-driven optimization achieves the same optimal design as CFD in a reduced number of iterations at a fraction of the online computational cost while providing similarly performing designs at off-nominal conditions. It is remarked that once the emulator is trained once offline, it can be used online to conduct many different design optimizations, e.g., with different objective functions, constraints, and tradeoffs. These results establish the utility of design-variable hypernetworks as a viable emulation and optimization tool in practical industrial design.
Effect of alcohol-dependence on cognitive performance in middle-aged men: Preliminary results
Authors: Ghai Pankhita , Magan Dipti , Aneja Jitender , Sharma Himanshu , Choudhary Aarthi 
Published: December 2023

Objectives:
The understanding of the relationship between alcohol-related neuropathology, cognitive impairment, and various factors such as alcohol consumption, thiamine levels, and age vulnerability is still poorly understood. Therefore, this study aims to examine the effect of alcohol dependence on cognitive performance in middle-aged men with psycho-biochemical evidence.

Materials and Methods:
A cross-sectional pilot study with a comparison group including 82 right-handed participants with and without alcohol dependence (n = 41 each). Alcohol dependence was diagnosed clinically by the International Classification of Disease Tenth Edition along with the use of alcohol use disorder identification test (AUDIT) and cognitive screening tests, that is, the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). The serum levels of thiamine (Vitamin B1) were determined using an enzyme-linked immunosorbent assay.

Results:
The MoCA scores, MMSE scores, and serum thiamine levels were significantly low for alcohol-dependent men (1509.43 ± 898.63 pmol/L) versus non-alcohol-dependent men (1862.81 ± 741.30 pmol/L; P = 0.021). The cognitive sub-domains including orientation, execution, calculation, visuoconstructional skills, and recall functions were also significantly (P < 0.05) affected for the alcohol-dependent patients when compared to non-alcohol-dependent men. Serum thiamine levels showed a positive (P < 0.05) correlation with MoCA scores whereas serum thiamine levels showed a significant (P < 0.05) negative correlation with AUDIT scores.

Conclusion:
Based on the significant positive association between serum thiamine levels with MoCA scores; therefore, both may be used as a screening tool for the early detection of cognitive impairment in patients with alcohol dependence.
Short term antibiotic effects on gut microbiome in Indian preschoolers: A 16S rRNA analysis
Authors: Neha  , Bavdekar Ashish , Kawade Anand , Veligandla Krishna Chaitanya , Joshi Devesh Kumar , Rathod Rahul , Kotak Bhavesh 
Published: December 2023

Objectives:
Antibiotic use is associated with dysbiosis of the gut microbiome. The objective of this study is to investigate the effect of antibiotics on gut composition in children aged 3–5 years receiving antibiotics compared to children who did not receive antibiotics.

Materials and Methods:
A total of 54 participants aged 3–5 years were included in this multi-centric cohort study. Participants were divided into two equal groups, that is the treatment-experienced group (Group 1, n = 27, antibiotic) and the treatment-not-experienced group (Group 2, n = 27, non-antibiotic). Stool samples of study participants were collected on days 0 and 5 (± 1 day) and analyzed using 16Svedberg ribosomal ribonucleic acid (16S rRNA) gene sequencing.

Statistical Analysis:
The Kruskal-Wallis H-test and Benjamini-Hochberg FDR correction were applied to determine the differentially abundant pathways across the zones using Statistical Analysis of Metagenomic Profiles (STAMP) (v2.1.3).

Results:
A non-significant increase in the mean abundance of the Phyla Bacteroidota, Proteobacteria, Actinobacteria, and Verrucomicrobiota was observed in both groups from day 0 to day 5. An alteration in the Firmicutes/Bacteroidetes ratio was observed. A significant (P < 0.05) abundance of genus Enterobacteriaceae, Enterococcaceae, and Lactobacillaceae was observed in the participants with antibiotic treatment. The relative abundance of families Enterococcus, Lactobacillus, Sellimonas, Ruminococcus, Torques, and Eggerthella groups was observed to be significantly higher (P < 0.05) in participants with antibiotic treatment. Beta-diversity indices revealed significant differences at group and subgroup levels regarding the bacterial counts.

Conclusions:
It was observed that a short-term course of 5 days of antibiotic usage is associated with altered microbial abundance and diversity.
IMPLEMENTASI KEWENANGAN DESA BERDASARKAN HAK ASAL USUL DALAM PELESTARIAN ADAT DI DESA GUNUNG SAHILAN KECAMATAN GUNUNG SAHILAN KABUPATEN KAMPAR
Authors: Novita Sari Daulay  
Published: December 2023

Penelitian ini bertujuan untuk mengetahui Kewenangan Desa Berdasarkan Hak Asal Usul terdapat pada Undang-Undang Nomor 6 Tahun 2014 Tentang Desa dimana pelaksanaan kewenangan desa berdasarkan hak asal usul diatur dan diurus oleh desa. Dimana sekarang ini pelestarian adat pernikahan sudah mulai tidak dilaksanakan atau dijalankan oleh masyarakat Desa Gunung Sahilan. Dimana disini dilihat Implementasi Kewenangan Desa Berdasarkan Hak Asal Usul Dalam Pelestarian Adat di Desa Gunung Sahilan yang terdapat pada Peraturan Desa Gunung Sahikan Nomor 4 Tahun 2018 Tentang Kewenangan Desa Berdasarkan Hak Asal Usul dan Kewenangan Lokal Berskala Desa pada bagian Pemberdayaan Mayarakat yaitu Pelestarian Adat di Desa seperti berkumpul dalam acara pernikahan. Dengan Teknik Pengumpulan data dengan melakukan wawancara, observasi, dan dokumentasi. Metode yang digunakan yaitu kualitatif dan dengan menggunakan teori Edward III dengan 3 indikator yaitu komunikasi, sumber daya, dan struktur organisasi. Hasil penelitian ini menunjukkan bahwa Implementasi Kewenangan Desa Berdasarkan Hak Asal Usul Dalam Pelestarian Adat di Desa Gunung Sahilan Kecamatan Gunung Sahilan Kabupaten Kampar pelaksanaannya belum berjalan dengan baik. Dimana Pemerintah Desa belum melaksanakan pelestarian adat di Desa Gunung Sahilan. Serta desa tidak membuat regulasi untuk memaksimalkan kewenangan desa karena belum adanya kebijakan atau kegiatan-kegiatan yang bertujuan pada Pelestarian Adat yang tertuang pada APBDes maupun Peraturan Desa.
Estimasi Arus Laut Permukaan Yang Dibangkitkan Oleh Angin Di Perairan Indonesia
Authors: Octavia Yollanda Pratama , Jumarang Muhammad Ishak , Apriansyah Apriansyah 
Published: December 2023

Penelitian mengenai kondisi arus laut permukaan di perairan Indonesia telah dilakukan. Perhitungan arus laut permukaan menggunakan data kecepatan angin tahun 2013 s.d. 2015 yang diproses dengan menggunakan software surfer dengan menganalisis kecepatan arus laut permukaan selama empat musim. Nilai kecepatan arus laut permukaan rata-rata musiman tertinggi terjadi pada musim timur sebesar 0,19 m/s terjadi di Laut Halmahera dan Laut Arafuru. Nilai kecepatan arus laut permukaan rata-rata musiman terendah terjadi pada musim peralihan I dengan nilai 0,05 m/s terjadi di Selat Makasar. Verifikasi penelitian membandingkan data spasial kecepatan angin dan kecepatan arus laut permukaan dari Badan Meteorologi dan Klimatologi Geofisika(BMKG) dengan data hasil penelitian. Kata Kunci: Arus laut permukaan, Software Surfer