bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Silico Assessment of Doxycycline Monohydrate MMP-9 Inhibition and Preparation and Evaluation of Doxycycline chitosan nanoparticle for Diabetic wound
Authors: Bhardwaj Harish , Jangde Rajendra Kumar , Sahu Ram Kumar , Bhattacharjee Abhishek 
Published: February 2025

Abstract

A significant worldwide health concern is chronic wounds related to diabetes mellitus (DM), frequently leading to excised due to impaired healing processes exacerbated by secondary infections (e.g., Staphylococcus aureus and Escherichia coli), neuropathy, and endothelial dysfunction. Doxycycline, recognized for inhibiting matrix metalloproteins (MMP-9), is essential for improving angiogenesis, cell migration, keratinocyte, and extracellular matrix (ECM) formation for diabetic wound healing. This study explores the molecular interaction of doxycycline monohydrate with MMP-9 through in silico docking simulations using ArgusLab for protein preparation and BIOVIA Discovery Studio to analyze binding conformations and energy levels. Doxycycline-loaded nanoparticles (DOX-NPs) were synthesized using the ionic gelation process and characterized by the entrapment efficiency, Zeta potential, polydispersity index (PDI), size of the particle, FTIR spectra, and TEM. In vitro evaluations, encompassing antioxidant properties, drug release, antibacterial efficacy, cytotoxicity, and scratch assays on L929 fibroblast cells, revealed that DOX-NPs enhanced wound healing. The significant binding affinities between doxycycline and MMP-9 indicate the potential effectiveness of DOX-NPs application in diabetic wounds.
Sexual Health Service Users’ Perspectives on Artificial Intelligence Applications for Identification of Lesions Associated with Sexually Transmissible Infections: A Qualitative Study
Authors: King Alicia J , Soe Nyi Nyi , Latt Phyu Mon , Zhang Lei , Temple-Smith Meredith , Maddaford Kate , Fairley Christopher K , Chow Eric PF , Phillips Tiffany R 
Published: February 2025

Abstract

Background: Early identification of sexually transmissible infections (STIs) is central to their control by facilitating timely access to healthcare. A web-based sexual health application using artificial intelligence (AI) to identify the risk of a genital or anal lesion being an STI, from a photographic image, is in development. However, the usefulness, accessibility, and acceptability of this technology to potential users is unknown.
Method: This research adopted a developmental evaluation approach to explore potential users’ views of the usefulness of this AI application, as well as factors impacting its acceptability and accessibility. Three focus groups were conducted with attendees of a sexual health clinic. Focus group discussions were recorded, transcribed, and analysed using action and pattern coding to identify key concepts.
Results: A diverse group of twelve participants provided feedback on the proposed application. Feedback on the application’s potential usefulness highlighted its potential value in supporting access to individualised sexual health information; informing decisions about healthcare seeking; and preventing transmission to others. Factors mediating the accessibility and acceptability of AI-powered applications included potential users’ awareness of the application; concerns about data security; the accessibility of the application to diverse user groups; trust in the technology; and transparency about the application’s limitations.
Conclusion: AI applications for the identification of visible changes in the anogenital region have the potential to support access to sexual health information, health care seeking and the prevention of onward transmission of STIs. Codesign approaches will increase the likelihood of more widespread uptake and public health impact of AI-powered sexual health applications.
FOXO6 specifically promotes Rac1 overactivation drives Hepatocellular Carcinoma migration and Early Recurrence: FOXO6 as a novel Therapeutic Target for Liver Cancer
Authors: Diao Jingfang , Liu Xiaoshan , Qin Lina , Hu Dandan , Ye Qing , Fu Shunjun , Liu Xuewen , Wei Jianrui , He Junming , Xie Bo , Gao Yi 
Published: February 2025

Abstract

Background
Rac1 activation is a common occurrence in various tumors and is often associated with poor prognosis, underscoring the potential therapeutic value of targeting the Rac1 pathway. Therefore, selectively inhibiting the heightened Rac1 activity in tumor cells may represent an innovative approach to cancer treatment.
Methods
Techniques included siRNA-mediated gene silencing, luciferase reporter assays for promoter activity, Western blotting, qRT-PCR, and chromatin immunoprecipitation (ChIP) to validate FOXO6-Rac1 interactions. Migration assays assessed cellular motility, while Kaplan-Meier survival analysis correlated FOXO6 expression with HCC recurrence. Mutagenesis of promoter regions and phosphorylation/ localization studies clarified regulatory mechanisms.
Results
We found the increase in Rac1 expression contributes to heightened Rac1 activity and enhanced migration of HCC cells. Notably, our investigations identified FOXO6, rather than HIF-1α, Smad7, miR-142-3p, or miR-137, as the mediator of Rac1 expression. FOXO6 exhibits transcriptional activation and correlates with the early recurrence of HCC following hepatectomy. The transcriptional activation of the Rac1 gene hinges on a FOXO-binding sequence in the Rac1 gene promoter. FOXO6 was found to directly bind to this sequence both in vitro and in vivo. Ultimately, Rac1 operates downstream of the FOXO6-dependent pro-migration signaling cascade. Our findings illuminate the direct role of FOXO6 in mediating the upregulation of Rac1 expression and activity in HCC cells.
Conclusion
This discovery unveils a differentially activated FOXO6/Rac1 pathway in liver cancer, thereby positioning FOXO6 as a potential therapeutic target for liver cancer treatment, offering the prospect of mitigating excessive side effects.
Injectable Photo-cross-linkable Porous Composite Hydrogels with Exosomes for M2 Macrophage Polarization and Cartilage Defect regeneration
Authors: Bi Yanchi , Xiao Xiao 
Published: February 2025

Abstract

In the initial stages of osteoarthritis(OA), the deterioration of cartilage in the superficial region results in the formation of superficial cartilage defects. It is anticipated that a therapy based on human umbilical cord mesenchymal stem cell exosomes(hUCMSCs-Exos) will make a notable contribution to the promotion of M2 macrophage polarization and the facilitation of cartilage repair. This study demonstrates that injectable photo-cross-linkable porous gelatin methacryloyl(GelMA)/silk fibroin glycidyl methacrylate(SilMA) hydrogels encapsulating human umbilical cord mesenchymal stem cell exosomes(hUCMSCs-Exos)represent a straightforward and effective approach for cartilage regeneration. The encapsulation of exosomes in hydrogels has been demonstrated to have no significant impact on the physical properties, as evidenced by physical studies. Furthermore, studies based on in vitro cell models and in vivo models in rats have demonstrated that exosomes released from hydrogels can promote M2 polarization, inhibit M1 polarization, and facilitate cartilage regeneration by regulating the PI3K/AKT signaling pathway. This process facilitates the repair of cartilage defects. The findings of our research have led to the development of an injectable photo-cross-linkable hydrogel for superficial cartilage regeneration, which represents a promising minimally invasive treatment for cartilage defects with the aid of arthroscopy.
Gain of chromosome 17 is an early genetic abnormality in neuroblastoma with PPM1D emerging as a strong candidate oncogene driving tumor progression
Authors: Milosevic Jelena , Fransson Susanne , Svensson Johanna , Otte Jörg , Olsen Thale K. , Sveinbjornsson Baldur , Hertwig Falk , Bartenhagen Christoph , Abel Frida , Reinsbach Susanne E. , Djos Anna , Javanmardi Niloufar , Shi Yao , Hehir-Kwa Jane Y , Mensenkamp Arjen , Tytgat Godelieve AM , Holmberg Johan , Molenaar Jan J , Jongmans Marjolijn , Fischer Matthias , Baryawno Ninib , Gisselsson David , Martinsson Tommy , Kogner Per , Johnsen John Inge 
Published: February 2025

Abstract

Purpose
Segmental gain of chromosome 17q is the most common genetic aberration in high-risk neuroblastoma, but its role in disease progression is poorly understood. This study aims to address the contribution of 17q gain to neuroblastoma malignancy.
Patients and methods:
We analyzed the genetic and transcriptional landscape of 417 neuroblastoma patients across various risk groups and clinical stages using multi-omic approaches. Single-cell RNA/DNA sequencing and SNP arrays were combined to characterize genomic aberrations, while evolutionary trajectories were mapped to explore the accumulation of genetic changes in patients with neuroblastoma. Additionally, DNA and RNA sequencing were used to assess mutational burden and gene expression patterns.
Results
Our findings suggest that chromosome 17 gain is an early genetic event acquired during neuroblastoma development, correlating with the accumulation of additional chromosomal aberrations and poor prognosis. Increased segmental gains of chromosome 17q were observed during clonal evolution, relapse disease and metastasis. We identified PPM1D, a p53-inducible Ser/Thr phosphatase located on chr17q22.3, as a key player activated by segmental 17q-gain, gene-fusion, or gain-of-function somatic and germline mutations, further promoting neuroblastoma development/progression.
Conclusion
Gain of chromosome 17 is an early driver of genetic instability in neuroblastoma, with PPM1D emerging as a potential candidate gene implicated in high-risk disease progression.
Adsorption kinetics of three fluoroquinolone carboxylic acids on red clay soil in five types of aqueous solutions
Authors: Sun Yao , Duan Runbin , Li Yuzhen , Lu Xinyu , Gao Jiangqi , Zhu Bingzi 
Published: February 2025

ABSTRACT

The adsorption and desorption kinetics of antibiotics on natural soils in various aqueous solutions are crucial for understanding their occurrence, transport, and bioavailability in the environment. This study investigated the adsorption and desorption kinetics of three fluoroquinolone carboxylic acids (FQCAs), namely ciprofloxacin, ofloxacin, and levofloxacin, on red clay soil using batch experiments conducted with pure water, treated wastewater effluent, lake water, river water, and stormwater runoff. The research identified pH, electrical conductivity (EC), and organic suspended solids (OSS) as primary water quality parameters that negatively impacted the adsorbed and desorbed masses of FQCAs at equilibrium. Higher pH, EC, and OSS significantly reduced the initial adsorption rates and adsorption efficiencies and promoted initial desorption and desorption efficiencies. FQCAs adsorption processes exhibited a rapid phase mainly governed by external mass transfer and a slower phase primarily limited by intra-particle diffusion, both influenced by boundary layer effects. The adsorption removal of FQCA's ranged from 65.82 to 98.33%, but desorption was only 1.35–3.09%. These findings highlight the potential of red clay soil as an effective and environmentally friendly adsorbent for mitigating FQCA pollution. Future research should focus on investigating FQCA degradation after adsorption in soil and their transport dynamics under diverse field conditions.
Exploring Maternity Leave Policies in European Union Countries: A Legislative Review
Authors: Amantea Carlotta , Aulino Giovanni , Gualano Maria Rosaria , Rossi Maria Francesca , Appetecchia Marialuisa , Figorilli Laura , Moscato Umberto , Santoro Paolo Emilio , Cittadini Francesca 
Published: February 2025

Background
The European Union promotes gender equality, and it has implemented comprehensive policies to support families and promote work-life balance, including maternity leave regulations. This paper aimed to provide a review of maternity leave regulations in the European Union.

Methods
A review of the legislative framework was carried out for each of the 27 EU member states by researching the online institutional repositories. Population size, gross domestic product, gross domestic product per capita, unemployment rate, and the average number of children in each family were the factors taken under consideration.

Results
The EU has set a minimum standard of 14 weeks of fully paid maternity leave. However, several EU countries offer over 30 weeks of paid maternity leave, as well as additional parental leave, paid paternity leave, and flexible work arrangements to support families. The country with the longest maternity leave is Sweden, whose laws grant a considerable number of days (up to 480 in between the two parents). This might be a crucial factor of the welfare system that sees the highest EU average in children per household percentage.

Conclusion
While progress has been made in Europe with regard to family policies and maternity leave, there is still room for a better promotion of workplace gender equality.
Assessment of Technology Readiness in Norwegian Older Adults With Long-Term Health Conditions Receiving Home Care Services: Cross-Sectional Questionnaire Study
Authors: Bergh Sverre , Benth Jūratė Šaltytė , Høgset Lisbeth Dyrendal , Rydjord Britt , Kayser Lars 
Published: February 2025

Background
With the increasing number of older adults globally, there is a constant search for new ways to organize health care services. Digital health services are promising and may reduce workload and at the same time improve patient well-being. A certain level of eHealth literacy is needed to be able to use digital health services. However, knowledge of technology readiness in this target group of older adults is unclear.

Objective
The aim of this study was to understand the technology readiness level of a group of older adults who were provided home care services in order to address the present and future needs of this group in relation to the implementation of digital health care services.

Methods
This quantitative cross-sectional study included 149 older adults from Norway receiving home care services. The participants completed the Readiness and Enablement Index for Health Technology (READHY) instrument, assessments of well-being (World Health Organization-Five Well-Being Index [WHO-5]), and assessments of demographic and clinical variables (sex, age, education, living situation, comorbidity, use of digital devices, and use of IT). Cluster analyses were used to group the users according to their technology readiness.

Results
The mean participant age was 78.6 (SD 8.0) years, and 55.7% (83/149) were women. There was good consistency within the assumed READHY scales (Cronbach α=.61-.91). The participants were grouped into 4 clusters, which differed in terms of READHY scores, demographic variables, and the use of IT in daily life. Participants in cluster 1 (n=40) had the highest scores on the READHY scales, were younger, had a larger proportion of men, had higher education, and had better access to digital devices and IT. Participants in cluster 4 (n=16) scored the lowest on eHealth literacy knowledge. Participants in cluster 1 had relatively high levels of eHealth literacy knowledge and were expected to benefit from digital health services, while participants in cluster 4 had the lowest level of eHealth literacy and would not easily be able to start using digital health services.

Conclusions
The technology readiness level varied in our cohort of Norwegian participants receiving home care. Not all elderly people have the eHealth literacy to fully benefit from digital health services. Participants in cluster 4 (n=16) had the lowest scores in the eHealth Literacy Questionnaire scales in the READHY instrument and should be offered nondigital services or would need extensive management support. The demographic differences between the 4 clusters may inform stakeholders about which older people need the most training and support to take advantage of digital health care services.
ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research
Authors: Ruta Michael R , Gaidici Tony , Irwin Chase , Lifshitz Jonathan 
Published: February 2025

Background
ChatGPT, a conversational artificial intelligence developed by OpenAI, has rapidly become an invaluable tool for researchers. With the recent integration of Python code interpretation into the ChatGPT environment, there has been a significant increase in the potential utility of ChatGPT as a research tool, particularly in terms of data analysis applications.

Objective
This study aimed to assess ChatGPT as a data analysis tool and provide researchers with a framework for applying ChatGPT to data management tasks, descriptive statistics, and inferential statistics.

Methods
A subset of the National Inpatient Sample was extracted. Data analysis trials were divided into data processing, categorization, and tabulation, as well as descriptive and inferential statistics. For data processing, categorization, and tabulation assessments, ChatGPT was prompted to reclassify variables, subset variables, and present data, respectively. Descriptive statistics assessments included mean, SD, median, and IQR calculations. Inferential statistics assessments were conducted at varying levels of prompt specificity (“Basic,” “Intermediate,” and “Advanced”). Specific tests included chi-square, Pearson correlation, independent 2-sample t test, 1-way ANOVA, Fisher exact, Spearman correlation, Mann-Whitney U test, and Kruskal-Wallis H test. Outcomes from consecutive prompt-based trials were assessed against expected statistical values calculated in Python (Python Software Foundation), SAS (SAS Institute), and RStudio (Posit PBC).

Results
ChatGPT accurately performed data processing, categorization, and tabulation across all trials. For descriptive statistics, it provided accurate means, SDs, medians, and IQRs across all trials. Inferential statistics accuracy against expected statistical values varied with prompt specificity: 32.5% accuracy for “Basic” prompts, 81.3% for “Intermediate” prompts, and 92.5% for “Advanced” prompts.

Conclusions
ChatGPT shows promise as a tool for exploratory data analysis, particularly for researchers with some statistical knowledge and limited programming expertise. However, its application requires careful prompt construction and human oversight to ensure accuracy. As a supplementary tool, ChatGPT can enhance data analysis efficiency and broaden research accessibility.
Pelatihan Enterpreneurship Pada UMKM Kerupuk Ikan Putri Bungsu dalam Meningkatkan Promosi dan Smart Packaging Digital
Authors: Pangestu Mira Gustiana , Devitra Joni , Hassandi Irfan , Mardiana Mardiana , Fadhillah Yosi , Khairunnisa Ikrima 
Published: February 2025

Abstrak
Seiring dengan perkembangan teknologi, dan cara menjadi seorang enterpreneur diera gempuran teknologi yang semankin banyak dan beraneka ragam di kalangan masyarakat khususnya pada sektor UMKM. Hal tersebut juga berdampak dalam cara pandang dan cara implementasi promosi penjualan seorang enterpreneur dalam keberlangsungan guna untuk meningkatkan hasil dari usaha UMKM yang di rintisnya. Dalam kegiatan pengabdian masyarakat ini adalah salah satu upaya bagaimana cara dalam memanfaatkan dan meningkatkan kualitas Entrepreneur serta teknologi berbasis digital sehingga menjadi seorang enterpreneur yang tidak hanya sekedar tumbuh saja, tetapi juga sebagai enterpreneur yang aktif dan terus memodifikasi usaha yang dimiliki guna meningkatkan promosi penjualan dengan memanfaatkan teknologi ( digital marketing) dengan seefisien mungkin. Di harapkan hasil dalam pelaksanaan Pengabdian Masyarakat ini adalah terciptanya entrepreneurship yang mampu tidak hanya secara konvensional tetapi secara digital dalam mengelola usaha UMKM yang dimilikinya. Dalam hal promosi digital diharapkan para enterpreneur nantinya dapat dengan cakap mempromosikan hasil produksi dengan menggunakan promosi digital dengan baik, hal tersebut di harapkan dapat menjangkau pembeli lebih luas dan melalui smart packaging yang baik di harapkan dapat membuat produk hasil olahan kerupuk ikan menjadi lebih higienis dan berkualitas untuk di promosikan.
Tax Minimization Moderate Transfer Pricing
Authors: Lidya Manda Sari  , Arisandy Nelsi 
Published: February 2025

The Corruption Eradication Commission (KPK) sniffed out potential tax evasion through a transfer pricing scheme on alleged illegal nickel ore export practices to China. KPK Deputy for Prevention and Monitoring Pahala Nainggolan said that his agency is currently reviewing if there are weaknesses in the nickel governance system. The system in question is the Coal Mineral System or Simbara, which was launched in March 2022. The population of this study is mining sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) from the period 2020 – 2023. Determination of samples in this study using the purposive sampling method. The number of samples used was 18 companies with 72 research units. The source of data in this study is taken from the company's published annual report. Testing in this study using E-Views 12 software. The results of the study based on the panel data regression analysis test showed that debt convenant and intangible assets had an effect on transfer pricing, while the size of the company and the bonus mechanism did not affect transfer pricing. Tax minimization is able to moderate the relationship between company size, debt convenant, intangible assets, and bonus mechanisms for transfer pricing.
Fecal bacterial microbiota diversity characterized for dogs with atopic dermatitis: its alteration and clinical recovery after meat-exclusion diet
Authors: Swain Swagatika , Sahoo Priyadarshini , Biswal Sangram , Sethy Kamadev , Panda Ananta Narayan , Sahoo Niranjana 
Published: February 2025

Abstract

Objective
To achieve clinical recovery in canine atopic dermatitis affected pet dogs via alteration of the gut microbiome, following a meat and egg exclusion diet for 60 days.

Methods
24 atopic dermatitis-affected pet dogs, all fed poultry meat and egg, and another 48 apparently healthy controls fed both poultry meat and egg (n = 24) or vegetable diet (24) were included in the study. The study was undertaken in the Bhubaneswar Smart City, Odisha, India, from July to December 2023. Fecal samples were collected at 2 points for DNA analysis, ie, on day 0 and day 60 of the change from a meat/egg-based diet to a vegetable-based diet. Extracted DNA samples were pooled category-wise and subjected to the gut microbiome analysis in the Nanopore sequencer targeting the 16S rRNA gene. Burrows-Wheeler Transform, Ferragina-Manzini index, and Krona charts were used for taxonomical classification and visualization of relative abundances of bacterial species within the metagenome. Alpha- and beta-diversity analyses were performed.

Results
Atopic pets at day 0 showed elevation in the gut microbiome population with an adequate concentration of pathogens like Escherichia coli and Clostridiodes difficile with lower amounts of the beneficial bacteria like Lactobacillus sp, while the pets at 60 days after dietary intervention showed a significant decline in bacterial species like E coli and C difficile with higher amount of Lactobacillus sp. Both control groups showed variations of microbiome between them as well as from the atopic pets.

Conclusions
We found a close association of poultry meat/egg diet with gut microbiome population and atopic symptoms as well in dogs, and elimination of such diet could be helpful in clinical recovery.

Clinical Relevance
Dietary intervention with the exclusion of potential allergens from poultry meat and egg sources can be an effective approach for the management of canine atopic dermatitis.