bluuebunny/crossref_metadata_2025_split huggingface dataset:
Globalization and changes in international trade in textiles and clothing
Authors: Долженко И.Б. 
Published: June 2024

Актуальность статьи связана с важной ролью индустрии моды, включающей текстильную и швейную промышленность, и международной торговли текстилем и одеждой в глобальной экономике. Выявлено, что международная торговля текстилем и одеждой значительно изменилась под воздействием глобализации. Установлены факторы и направления таких изменений. Выявлены изменения в положении ведущих экспортеров и импортеров текстиля и одежды под влиянием глобализации. Установлено, что международная торговля текстилем и одеждой все больше осуществляется в рамках глобальных цепочек создания, управляемых транснациональными корпорациями.
The relevance of the article is related to the important role of the fashion industry, including the textile and clothing industries, and international trade in textiles and clothing in the global economy. It is revealed that the international trade in textiles and clothing has changed significantly under the influence of globalization. The factors and directions of changes in the international trade in textiles and clothing under the influence of globalization have been established. The changes in the position of leading exporters and importers of textiles and clothing under the influence of globalization are revealed. It has been established that international trade in textiles and clothing is increasingly carried out within the framework of global chains of creation managed by TNCs.
Circular business model of a vehicle powered by new energy sources in the context of ecological economics
Authors: Цзя Ц. , Родионов Д.Г. 
Published: June 2024

В статье анализируются концепция аккумуляторного арендного обслуживания батарей электромобиля, принципы их утилизации. Рассмотрены основные объекты трансформации автомобилестроения. Выявлена в научной практике циклическая схема утилизации батарей электромобиля, которая позволяет менеджменту автопромышленности упорядоченно подходить к вопросам применения и управления новыми и возобновляемыми источниками энергии.
The article analyzes the concept of battery rental maintenance of electric vehicle batteries, the principles of their disposal. The main objects of transformation of the automotive industry are considered. A cyclic scheme for recycling electric vehicle batteries has been identified in scientific practice. The resulting scheme allows the management of the automotive industry to approach the issues of application and management of new and renewable energy sources in an orderly manner.
A Machine Learning-Based Suitable Startup Recommendation Scheme and Investor Assistance Mobile Application
Authors: Asif Asfak , Chowdhury Mahfuzulhoq 
Published: June 2024

Investing in startups is a complex decision-making process that requires identifying suitable companies and matching them with compatible investors. The existing works did not present any intelligent startup suitability prediction for funding and investor assistance mobile applications by taking into account growth rate, annual profit, rating, and reputation factors. This paper initiates a machine learning-based recommendation system for predicting suitable startups and matching them with appropriate investors. The proposed system leverages a comprehensive dataset of startup and investor characteristics, including market segment, geographical region, and city. In comparison with singular value decomposition and principal component analysis schemes, our results show that TermFrequency-Inverse Document Frequency scheme is selected for startup recommendation due to its high recall and precision value. Our investor assistance mobile application offers features like login, apply for funds, best funder recommendation, best entrepreneur selection, and user rating features. Our application evaluation results indicated that more than 60 percent of users are satisfied with the feasibility of the proposed mobile application.

Received: 23 February 2024 | Revised: 9 April 2024 | Accepted: 14 May 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The dataset used in this paper is available on the Crunchbase website.

Author Contribution Statement
Asfak Asif: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Mahfuzulhoq Chowdhury: Conceptualization, Methodology, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.
Miao-Themed Souvenir Toys Design to Promote Tourism in Guizhou China
Authors: Jiangwei Lu , Keai Gregory Kiyai @ 
Published: June 2024

Purpose/Background: This study investigated the impact of Miao-themed souvenir toy design on promoting tourism in Guizhou, China. The culturally diverse province has an opportunity to leverage ethnic arts for tourism growth. Authentic representation of minority groups through creative mediums can attract visitor interest. Methods: A qualitative approach was used involving semi-structured interviews with Miao artisans who design souvenirs. Detailed interviews examined artistic processes and cultural representations in toys. Interview transcripts were analyzed using coding and thematic analysis. Findings: Interviews highlighted the cultural significance of toys for promoting both Miao heritage and local tourism. Artisans play a key role in authentically conveying minority culture through creative souvenirs. Culturally symbolic elements in toys resonate with tourists seeking an immersive experience. Conclusions: Findings demonstrate souvenir toy design as an avenue for boosting tourism while preserving ethnic arts in Guizhou. However, time limitations prevented thorough investigation of tourist preferences and trends influencing market success. Ongoing research is critically needed on optimizing cultural designs and effective promotion for visitor appeal.
The symptoms behavior in self-observation and directional preference in patients with low back pain undergoing McKenzie therapy.
Authors: Bicz Kinga , Kłósek Klaudia , Paprocka-Borowicz Małgorzata , Gieysztor Ewa 
Published: June 2024

IntroductionThe McKenzie Method, also known as MDT, is currently one of the most well-known methods for diagnosing and treating spinal and limb pain syndromes. The study aims to analyze the self-observations of the symptoms behavior in comparison with directional preference (DP) in the therapeutic procedures.Material and methodsA study was conducted based on the therapeutic records of patients treated by MDT. The study was carried out on a group of 302 patients. The analysis of the symptoms in self-observations of the patient was conducted. The data were compared using various schemes: gender, age range, type of work, classification, positional preferences, and applied directional procedures.ResultsPatients more commonly indicate the movements that increase symptoms. The individuals treated with the extension DP reported an increase in pain symptoms during sitting, bending, and standing. The majority of patients were classified into the D3 group and treated with an extension-based approach. With increasing age, the number of individuals classified as D1 decreased, while classified as D5 increased. In the oldest age group, the number of other than extensional therapeutic DP increased.ConclusionsPatients are not able to indicate the movements that decrease the symptoms while the movements that increase the symptoms are better recognized. Certified physiotherapists should educate about the centralization phenomenon and directional preference. While extension movements generally lead to a reduction in reported pain symptoms, they are not the only movements that can centralize symptoms and should not be applied without a thorough examination of the patient.
Mortality analysis of patients with acute coronary syndrome receiving comprehensive cardiac care (KOS-Zawał) during the COVID-19 pandemic period
Authors: Kubielas Grzegorz , Diakowska Dorota , Czapla Michał , Ross Catherine , Mitkowski Przemysław , Uchmanowicz Izabella 
Published: June 2024

IntroductionDue to the SARS-CoV-2 pandemic, there have been fundamental changes to the delivery and operation of healthcare facilities across the world, these changes have significantly impacted how patients with a variety of diseases are treated. We aimed to assess the impact of the COVID-19 pandemic on patient management outcomes among patients with acute coronary syndromes (ACS) and exploring the differences in patients who were treated within and outside the coordinated care programme for patients after ACS (KOS-Zawał).Material and methodsWe analysed 472,996 medical records of patients after ACS from 2017 to 2022. The study examined information on deaths in two groups of patients; those included and those not included in the KOS-Zawal.ResultsBefore COVID-19 pandemic higher mortality rate was shown in the group of patients not covered by the KOS-Zawal benefit compared with patients covered by the benefit (25.5% vs. 15.8%; p<0.0001) decreased significantly. During the COVID-19 a significant higher incidence of death was shown in the group of patients not covered by the KOS-Zawal compared with patients covered by the program (18% vs. 7.9%; p<0.0001). Compared to the time before and during COVID-19, the number of deaths among patients not covered (25.5% vs. 18%; p<0.0001) and covered by the KOS-Zawal (15.8% vs. 7.9%, p<0.0001) decreased significantlyConclusionsPatients not covered by KOS-Zawal had a significantly higher mortality rate compared to those receiving the program during the pandemic. The pandemic significantly affected patients under KOS-Zawal care, with a reduced mortality.
Identification of biomarkers of Alzheimer's disease and their characterization of immune function
Authors: Lin Mingkai , Zhou Yue , Liang Peixian , Zheng Ruoyi , Du Minwei , Ke Xintong , Zhang Wenjing , Shang Pei 
Published: June 2024

IntroductionAlzheimer's disease (AD) is a neurodegenerative disease with neurogenic fiber tangles caused by amyloid-β protein plaques and tau protein hyperphosphorylation as the pathological manifestations. This study was based on multi-omics to investigate the mechanisms and immune characterization of AD.Material and methodsBased on bulk RNA-seq (GSE122063 and GSE97760), we screened potential biomarkers for AD by differential expression analysis and machine learning algorithms. Then, we elaborated the expression characteristics and immune functions of the above biomarkers by scRNA-seq (single-cell RNA sequencing) data analysis (GSM4996463 and GSM4996462) and immune infiltration analysis.ResultsFive biomarkers (RBM3, GOLGA8A, ALS2, FSD2, and LOC100287628) were identified using machine learning algorithms. Single-cell analysis revealed distinct expression patterns of these biomarkers in astrocytes from AD samples compared to normal samples. Additionally, three key biomarkers were selected based on interaction networks, and the diagnostic models indicated high diagnostic efficacy for these biomarkers. Based on immune infiltration and correlation analyses, RBM3, GOLGA8A, and ALS2 were all highly correlated with CD8 T cell content in the immune microenvironment of AD.ConclusionsThe biomarkers identified in this study demonstrate significant diagnostic potential for AD. Notably, the downregulation of RBM3 in astrocytes and the decreased presence of CD8 T cells infiltrating brain tissue are potential risk factors for AD.
Diagnostic accuracy of non-invasive investigations for coronary artery disease in hypertensive patients: A meta-analysis
Authors: Bytyci Ibadete , Bytyqi Sefer , Abazi Gani , Bajraktari Gani , Henein Michael Y 
Published: June 2024

IntroductionNon-invasive assessment of coronary artery disease (CAD) in patients with hypertensive heart disease is still a major clinical challenge. The aim of this meta-analysis was to evaluate the diagnostic accuracy of different non-invasive techniques in detecting significant (>50%) CAD in hypertensive patients.Material and methodsWe systematically searched selected electronic databases from inception until 21st February 2024. Main clinical endpoint was the diagnostic accuracy of non-invasive investigations including exercise electrocardiography test (EET), stress echocardiography (SE) and myocardial perfusion imaging (MPI). The random effects summary receiver operating characteristic analysis was performed.ResultsTwenty-five papers with a total of 3812 patients with systemic hypertension and suspected significant CAD were finally included in the meta-analysis. The diagnostic accuracy of SE was the highest compared to the two other investigations (85%, 72%, 53%, p<0.05 for all). SE had higher sensitivity 85% (83-87%) and specificity 81% (79-83%) compared to MPI [Sensitivity 81% (77-83%), specificity 64% (59-68%)] and EET [Sensitivity: 53% (50-65%) and specificity 51% (47-54%)]. All three tested investigations had higher accuracy in patients with multivessel disease compared to those with single-vessel disease (p<0.05 for all). The diagnostic accuracy of SE and MPI was not significantly impacted by left ventricular hypertrophy (p>0.05 for both), compared to EET which was lower in patients with hypertrophy compared to those without (41% vs. 58%, p=0.03). These results were consistent irrespective of the stress echo modality, physical, exercise or pharmacological (p>0.05).ConclusionsThis meta-analysis reveals the powerful diagnostic value of stress echocardiography in detecting significant coronary artery disease in hypertension patients.
Antiviral flavonoids and polyphenols driven novel anti-HBV efficacy of Ilex paraguariensis
Authors: Parvez Mohammad Khalid 
Published: June 2024

IntroductionAntiviral natural products have shown promising alternative for conventional drug-resistance in hepatitis B virus (HBV).Material and methodsWe evaluated the in vitro hepatocytotoxicity (HepG2 cells; MTT assay) followed by anti-HBV efficacy (HepG2.2.15 cell; HBV-antigens ELISA) of Ilex paraguariensis leaves total-ethanol extract (IP-Ext) and fractionated preparations in n-hexane (IP-Hex), chloroform (IP-Chl), ethyl acetate (IP-EtAc) and ethanol (IP-EtOH).ResultsAll tested samples showed non-cytotoxicity except IP-EtAc having mild toxic effect at 200 μg/ml. Their anti-HBV assessment showed dose-dependent inhibitions of HBV antigens (HBs/HBe). At the selected optimal dose (50 μg/ml), while IP-Ext showed mild (HBsAg: 24.2% & HBeAg: 20.6%) and IP-Chl showed moderate (HBsAg: 42.3% & 40.1%) activities, IP-Hex (HBsAg: 55.6% & HBeAg: 52.4%) and IP-EtOH (HBsAg: 53.2% & HBeAg: 50.2%) exhibited high activities. High-performance liquid chromatography (HPLC) validation identified known anti-HBV flavonoids (Rutin: 18.98, Quercetin: 6.52 and Kaempferol: 9.10 μg/g) and polyphenols (Caffeic acid: 11.43 and Chlorogenic acid: 3.22 μg/g) in the extract. Their estimated anti-HBV activities at 10 μg/ml dose were: Quercetin (HBsAg: 67.8 % & HBeAg: 64.4%), Kaempferol (HBsAg: 63.5 % & HBeAg: 61.6%), Chlorogenic acid (HBsAg: 55.2% & HBeAg: 53.8%), Rutin (HBsAg: 51.2% & HBeAg: 48.4%) and Caffeic acid (HBsAg: 42.2% & HBeAg: 39.5%). Notably, while our previous molecular docking studies had shown strong interactions of these flavonoids with HBV polymerase active-residues, here, we demonstrated good binding-affinities of the polyphenols with drug-sensitive (wild-type) and drug-resistant (mutant) polymerases.ConclusionsTaken together, this is the first study suggesting the anti-HBV therapeutic efficacy of I. paraguariensis attributed to its antiviral phytochemicals.
Innovations in real-time infectious disease surveillance using AI and mobile data
Authors: Janet Aderonke Olaboye  , Chukwudi Cosmos Maha  , Tolulope Olagoke Kolawole  , Samira Abdul  
Published: June 2024

The integration of artificial intelligence (AI) and mobile health data has ushered in a new era of real-time infectious disease surveillance, offering unprecedented insights into disease dynamics and enabling proactive public health interventions. This paper explores the innovative applications of AI and mobile data in transforming traditional surveillance systems for infectious diseases. By harnessing the power of AI algorithms, coupled with the vast amount of data generated from mobile devices, researchers and public health authorities can now monitor disease outbreaks in real-time with greater accuracy and efficiency. AI-driven predictive models analyze diverse datasets, including demographic information, travel patterns, and social media activity, to detect early signs of disease emergence and predict potential outbreaks. The use of mobile health data provides a wealth of information that was previously inaccessible to traditional surveillance methods. Mobile apps, wearables, and other connected devices enable continuous monitoring of individuals' health indicators, allowing for early detection of symptoms and rapid response to potential threats. Furthermore, geolocation data from mobile devices facilitates the tracking of population movements and the identification of high-risk areas for disease transmission. However, this innovative approach to infectious disease surveillance also presents challenges and ethical considerations. Privacy concerns regarding the collection and use of mobile health data must be carefully addressed to ensure individuals' rights are protected. Additionally, issues related to data quality, interoperability, and algorithm bias need to be mitigated to ensure the reliability and effectiveness of AI-driven surveillance systems. In conclusion, the integration of AI and mobile health data holds immense promise for revolutionizing real-time infectious disease surveillance. By leveraging these technologies, public health authorities can gain valuable insights into disease dynamics, enhance early detection capabilities, and implement targeted interventions to prevent the spread of infectious diseases. However, it is essential to address the challenges and ethical considerations associated with this approach to ensure its responsible and effective implementation.
Keywords: Innovations, Real-Time Infectious Disease, Surveillance, AI, Mobile Data.
NÃO CONFIES NO CAVALO NO CAMPO, NEM NA MULHER EM CASA: CONEXÕES ENTRE O BRASIL PRE ADPF 779 E A RÚSSIA TOLSTOIANA EM “SONATA A KREUTZER” DE LIEV TOLSTÓI
Authors: Bezerra Giovanna de Sousa , Sousa Rayza Teresa dos Santos , Mourão Rosália Maria Carvalho 
Published: June 2024

O presente estudo tem o escopo de responder a subsequente preposição: Como a tese da legítima defesa da honra repercute ante o enredo da obra “Sonata a Kreutzer”, de Liev Tolstói e a publicação da ADPF de nº 779? O objetivo geral é analisar a inconstitucionalidade da tese da legítima defesa da honra e relacioná-la à obra literária “Sonata a Kreutzer”, de Liev Tolstói. Neste ínterim, para a construção do debate, dispõe-se essencialmente dos estudos de Dória (1994), Clements (2012), Barsted (1999) e Eluf (2021), além da obra tolstoiana e os códex correspondentes ao recorte temporal em pauta, tais como o Código Imperial e o Domostrói. Outrossim, tais informações foram metodologicamente colhidas por meio da abordagem qualitativa, com a utilização de revisão bibliográfica de artigos científicos, textos legais, históricos e literários.
ANÁLISE DA TRIBUTAÇÃO DE BITCOIN PARA PESSOAS FÍSICAS NO IMPOSTO DE RENDA
Authors: Moreira Jeremias Moreno , Gomes Mateus Pereira  
Published: June 2024

A importância das criptomoedas vem aumentando desde o lançamento do Bitcoin em 2008. Assim, os governos estão comprometidos com a regularização ideal para garantir a segurança dos usuários. Atualmente, o sistema jurídico brasileiro carece de uma legislação clara e de uma definição doutrinária sólida sobre o assunto, o que dificulta a vida dos usuários. Como resultado, o objetivo deste estudo é examinar como o Bitcoin e outras criptomoedas estão relacionadas com o imposto de renda de pessoa física. Na esfera acadêmica e jurídica, há um intenso debate sobre tributação de ganhos com criptomoedas. Foi realizada uma revisão da literatura nacional e internacional para melhorar a compreensão das implicações jurídicas da tributação digital. Assim, o trabalho atual visa realizar uma abordagem jurídica a um acontecimento recente. É importante destacar que o objetivo desta pesquisa não é resolver todas as incógnitas jurídicas sobre o bitcoin. Em vez disso, o objetivo da pesquisa é analisar e estudar como sua aplicação no direito brasileiro poderia ser, contribuindo para um assunto relevante ainda pouco treinado pela comunidade jurídica.
Calibrating low-cost rain gauge sensors for their applications in Internet of Things (IoT) infrastructures to densify environmental monitoring networks
Authors: Krüger Robert , Karrasch Pierre , Eltner Anette 
Published: June 2024

Abstract. Environmental observations are crucial for understanding the state of the environment. However, current observation networks are limited in their spatial and temporal resolution due to high costs. For many applications, data acquisition with a higher resolution would be desirable. Recently, Internet of Things (IoT)-enabled low-cost sensor systems have offered a solution to this problem. While low-cost sensors may have lower quality than sensors in official measuring networks, they can still provide valuable data. This study describes the requirements for such a low-cost sensor system, presents two implementations, and evaluates the quality of the factory calibration for a widely used low-cost precipitation sensor. Here, 20 sensors have been tested for an 8-month period against three reference instruments at the meteorological site of the TU Dresden (Dresden University of Technology). Furthermore, the factory calibration of 66 rain gauges has been evaluated in the lab. Results show that the used sensor falls short for the desired out-of-the-box use case. Nevertheless, it could be shown that the accuracy could be improved by further calibration.