bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanoparticle-Mediated Transcytosis in Tumor Drug Delivery: Mechanisms, Categories, and Novel Applications
Authors: Doaa Nakaooh , Detorgma Signa Lon Rolande , Yang Kaiyun , Salama Rajae , Zhang Wenli 
Published: October 2024

Abstract:
The development of nanotechnology-based drug delivery systems has been extensively
investigated across various therapies, leading to the creation of numerous nanomedicines for clinical
use. However, these nanomedicines have yet to achieve the anticipated therapeutic efficacy in
clinical settings, highlighting the urgent need for further research in this area. A primary challenge
in nanomedicine research lies in ensuring that nanoparticles and therapeutic agents can effectively
penetrate and accumulate within tumors. The enhanced permeability and retention (EPR) effect
has been previously explored as a means to enhance drug delivery to tumors, but recent findings
have revealed its limitations, including variable responses, restricted penetration, clearance by the
reticuloendothelial system, and non-specific accumulation. As an alternative approach, transcytosis
has been explored for delivering drugs to specific organs or tissues, potentially bypassing some
of the constraints of the EPR effect. For example, nanoparticles can be guided through barriers by
targeting specific receptors on cell surfaces or by utilizing a different charge compared to tumor
cells' surfaces. Therefore, this article explores transcytosis, including adsorptive, receptor-mediated,
and cell-mediated subtypes, all of which have demonstrated promising results and offer potential
solutions to enhance the effectiveness of nanomedicine delivery for cancer therapy.
Comparative Clinical, Proteomic, and Serologic Evaluation in Non-Hospitalized COVID-19 Patients and Healthy Individuals
Authors: Alihosseini Solmaz , Zali Hakimeh , Majd Ahmad , Movahedi Monireh , Abdollahi Hamed 
Published: October 2024

Introduction:
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has had a
significant global impact since its declaration as a public health emergency in January 2020. Symptoms
of COVID-19 can range from mild to severe, including fever, cough, fatigue, and shortness of
breath. This study aimed to investigate the clinical symptoms and proteomic differences between
non-hospitalized COVID-19 patients and healthy individuals.

Method:
Clinical data of 6231 COVID-19 patients of different age groups and sexes were collected
and analyzed. Proteins were separated by SDS-PAGE and identified by MALDI-TOF. 900 serum
samples were collected, with 100 samples per patient group and one healthy control group.

Result:
In the control group of healthy individuals, five proteins (HAPTO, IGKC, FUT10, CO3,
SESQ2) were expressed with a score of 1+, serving as a reference for the other groups. Group 9,
consisting of individuals who had recovered (IgG positive), showed negative results for all five proteins
due to anti-IgG antibody production in memory cells. The significant differences in protein
expression compared to the control group indicated up-regulation and down-regulation of these proteins.
Positive PCR or IgG and IgM results led to notable differences in protein expression across
all studied groups.

Conclusion:
The altered protein expression in infected individuals compared to healthy controls
may suggest the potential for these proteins to serve as biomarkers for disease diagnosis and prognosis.
Microwave-assisted Extraction and Quantification of Triterpene Acids from Davilla rugosa and Eriope blanchetii-+
Authors: Cunha André B. , David Jorge M. , Cunha Silvio , Santos Rauldenis A.F. 
Published: October 2024

Aims:
This study describes the development of methodologies for the isolation, identification,
and quantification of betulinic, oleanolic, and ursolic acids in extracts from Eriope blanchetii
(Lamiaceae) and Davilla rugosa (Dilleniaceae).

Background:
Betulinic, oleanolic, and ursolic acids are compounds with biological activities and
commercial and technological uses. Developing methodologies for their separation from natural
sources are relevant once their synthesis is not easy.

Objectives:
Development of conventional methodology for quantifying and isolating pure betulinic
acid in chloroform extracts of D. rugosa stems and developing methods for obtaining and quantifying
oleanolic, ursolic, and betulinic acids from organic extracts.

Method:
A complete validation "in-house" for the chromatographic method was performed, and
different techniques of extraction – maceration under heating vs. microwave-assisted extraction
(MAE) conditions were compared. Davilla rugosa stems were employed as the source of pure betulinic
acid, and this compound was obtained in a reasonable yield (~ 2.4 x 10-2 % dry weight).

Results:
Chromatographic analysis of the E. blanchetii extracts indicates betulinic acid occurs in
higher concentrations in the leaves (5.53% dry weight), followed by lower concentrations in other
plant parts, together with two other triterpene acids. HPLC analysis of extracts obtained by MAE
extractions and maceration of E. blanchetti indicated that MAE is more efficient than maceration
under heating in relative yield. The HPLC-validated method was rightly selective and accurate, presenting
good linearity (R2 = 0.9993), robustness, and recovery rate values with acceptable limits (LD
= 5.9914; LQ = 18.1557; μg mL-1).

Conclusion:
MAE was the most efficient methodology than maceration under similar conditions.
Furthermore, different parts of E. blanchetii and D. rugosa are affordable sources of bioactive betulinic
acid.
Analysis and Classification of Medical Images Using Deep Learning Algorithms
Authors: Karima Chouchene , Bourbia Nadjla , Messaoudi Kamel , Bourennane El-Bay 
Published: October 2024

Introduction:
Nowadays, Artificial intelligence and machine learning have emerged
as a powerful tool for the analysis of medical images such as MRI scans. This technology
holds significant potential to improve diagnostic services and accelerate medical advances by
facilitating clinical decision-making.

Method:
In this work, we developed a Convolutional Neural Network (CNN) model specifically
designed for the classification of medical images. Using a selected database, the model
achieved a classification accuracy of 92%. To further improve the performance, we leveraged
the pre-trained VGG16 model, which increased the classification accuracy to 100%. Additionally,
we preprocessed the MRI images using the Roboflow platform and then developed
YOLOv5 models for the detection of tumors, infections, and cancerous lesions.

Result:
The results demonstrate a localization accuracy of 50.41% for these medical conditions.

Conclusion:
This research highlights the value of AI-driven approaches in enhancing medical
image analysis and their potential to support more accurate diagnoses and accelerate advancements
in healthcare.
A Texting- and Internet-Based Self-Reporting System for Enhanced Vaccine Safety Surveillance With Insights From a Large Integrated Health Care System in the United States: Prospective Cohort Study
Authors: Malden Debbie E , Gee Julianne , Glenn Sungching , Li Zhuoxin , Ryan Denison S , Gu Zheng , Bezi Cassandra , Kim Sunhea , Jazwa Amelia , McNeil Michael M , Weintraub Eric S , Tartof Sara Y 
Published: October 2024

Background
SMS text messaging- and internet-based self-reporting systems can supplement existing vaccine safety surveillance systems, but real-world participation patterns have not been assessed at scale.

Objective
This study aimed to describe the participation rates of a new SMS text messaging- and internet-based self-reporting system called the Kaiser Permanente Side Effect Monitor (KPSEM) within a large integrated health care system.

Methods
We conducted a prospective cohort study of Kaiser Permanente Southern California (KPSC) patients receiving a COVID-19 vaccination from April 23, 2021, to July 31, 2023. Patients received invitations through flyers, SMS text messages, emails, or patient health care portals. After consenting, patients received regular surveys to assess adverse events up to 5 weeks after each dose. Linkage with medical records provided demographic and clinical data. In this study, we describe KPSEM participation rates, defined as providing consent and completing at least 1 survey within 35 days of COVID-19 vaccination.

Results
Approximately, 8% (164,636/2,091,975) of all vaccinated patients provided consent and completed at least 1 survey within 35 days. The lowest participation rates were observed for parents of children aged 12-17 years (1349/152,928, 0.9% participation rate), and the highest participation was observed among older adults aged 61-70 years (39,844/329,487, 12.1%). Persons of non-Hispanic White race were more likely to participate compared with other races and ethnicities (13.1% vs 3.9%-7.5%, respectively; P<.001). In addition, patients residing in areas with a higher neighborhood deprivation index were less likely to participate (5.1%, 16,503/323,122 vs 10.8%, 38,084/352,939 in the highest vs lowest deprivation quintiles, respectively; P<.001). Invitations through the individual's Kaiser Permanente health care portal account and by SMS text message were associated with the highest participation rate (19.2%, 70,248/366,377 and 10.5%, 96,169/914,793, respectively), followed by email (19,464/396,912, 4.9%) and then QR codes on flyers (25,882/2,091,975, 1.2%). SMS text messaging–based surveys demonstrated the highest sustained daily response rates compared with internet-based surveys.

Conclusions
This real-world prospective study demonstrated that a novel digital vaccine safety self-reporting system implemented through an integrated health care system can achieve high participation rates. Linkage with participants’ electronic health records is another unique benefit of this surveillance system. We also identified lower participation among selected vulnerable populations, which may have implications when interpreting data collected from similar digital systems.
Improving Legal Regulation in the Field of Reducing Greenhouse Gas Emissions in the Russian Federation
Authors: Kotova E. V. 
Published: October 2024

Carbon regulation in Russia is at the stage of formation, which requires the development of an integrated approach based on the principles of sustainable development, taking into account international experience. With an understanding of the importance of the problem of climate change for the future of the country and the entire planet, as well as in fulfillment of international obligations, Russia has adopted a number of measures to nationally regulate greenhouse gas emissions reduction, as well as other mechanisms that help slow down global changes.The purpose of this article is to develop comprehensive legal solutions to optimize the system of regulatory legal regulation of issues of reducing greenhouse gas emissions. The research problem lies in the formation of such mechanisms of state climate regulation, which, on the one hand, will contribute to achieving the goals of reducing greenhouse gas emissions set by Russia, and on the other hand, will correspond to the current foreign policy challenges, the ambiguous geopolitical and difficult economic situation that affect public policy, the business community and the global interaction on climate issues.
Pengaruh Rasio Likuiditas, Rasio Solvabilitas Dan Sales Growth Terhadap Profitabilitas Pada Perusahaan Farmasi Periode 2014-2019
Authors: Ningsih Srikandi Ayu 
Published: October 2024

Tujuan perusahaan selalu berusaha untuk memaksimalkan pendapatan keuntungan untuk kemakmuran semua elemen yang terlibat. Berbagai faktor termasuk rasio keuangan dapat mempengaruhi profitabilitas perusahaan. Penelitian ini bertujuan untuk melihat pengaruh rasio likuiditas (CR), rasio solvabilitas (DER) dan sales growth terhadap profitabilitas (ROE) secara simultan, parsial, dan dominan pada perusahaan sub sektor farmasi yang terdaftar di Bursa Efek Indonesia. Pengambilan sampel dilakukan dengan metode purposive sampling, diperoleh 6 perusahaan farmasi berdasarkan kriteria sampel. Teknik pengumpulan data menggunakan metode dokumentasi untuk memperoleh data sekunder dengan mendownload laporan keuangan dari website BEI. Teknik analisis data menggunakan uji asumsi klasik dan metode regresi linier berganda menggunakan alat bantu SPSS versi 24. Hasil penelitian menunjukkan secara simultan variabel CR, DER dan sales growth berpengaruh signifikan terhadap ROE. Secara parsial variabel DER dan sales growth berpengaruh signifikan terhadap ROE, sedangkan CR tidak berpengaruh signifikan. Variabel yang paling dominan berpengaruh terhadap ROE adalah DER.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Sentiment and Stock Characteristics: Comprehensive Study of Individual Investor Influence on Returns, Volatility, and Trading Volumes
Authors: Kresta Aleš , Xiong Jialei , Maidiya Bahate 
Published: October 2024

Abstract

Background
Traditional asset pricing models face challenges from financial anomalies, prompting exploration through behavioural finance theory. This study analyses the nuanced relationship between individual investor sentiment and key stock market variables.

Objectives
To assess the impact of individual investor sentiment on stock returns, volatilities, and trading volumes using the American Association of Individual Investors (AAII) sentiment index.

Methods/Approach
Using regression models, we examine the relationship between individual investor sentiment and various stock characteristics across 480 components of the Standard & Poor's 500 index.

Results
We find a positive relationship between the AAII sentiment index and stock returns and a negative relationship with volatility and trading volume.

Conclusions
Our study contributes to understanding the intricate role of individual investor sentiment in financial markets.
Carbon Dioxide Flux and its Relationship to Water Quality in the Teluk Awur - Jepara, Indonesia
Authors: Petrova Cendra Boskanita , Maslukah Lilik , Indrayanti Elis , Wijaya Yusuf Jati , Prayitno Hanif Budi , Afdal Afdal , Wirasatriya Anindya 
Published: October 2024

Abstract
Anthropogenic activities on land will affect the carbon system in coastal waters. This condition will affect the role of coastal waters as a source or sink of carbon. This research will examine the distribution of carbonate systems and estimate CO2 fluxes. Water samples were taken at 30 stations as well as measuring in situ water parameters including pH, temperature, salinity, and pressure. Alkalinity was analysed based on the titration method, chl-a using the fluorometer method, and carbonate system parameters (pCO2(sea) and DIC) calculated using CO2SYS.xlsm. The pCO2(atm) value is calculated based on atmospheric data from satellite data, including the saturation vapour pressure of sea air in the atmosphere, fraction mol of CO2, and sea level pressure. Pearson correlation analysis was used to see the correlation between the measured parameters and CO2 flux. Carbon flux is determined based on the difference between atmospheric and oceanic pCO2. The DIC calculation result was in the range of 1,946.09 µmol/kg - 2,061.65 µmol/kg and the total alkalinity was 2,156.86 µmol/kg - 2,264.71 µmol/kg. Based on this value, Jepara coastal waters have pCO2(sea) of 573,800 micro-atmospheric (µatm) which is higher than pCO2(atm) (i.e., 386,772 µatm). The input of organic/inorganic carbon resulting from anthropogenic processes on land has influenced Jepara coastal waters which act as a source of CO2 into the atmosphere amounting to 103,799 mmol/m2/day. The results of this research can be used as a reference for managing coastal areas to achieve low carbon emissions.
Can Development in the Digital Economy Lead to A Win-Win for ‘Efficiency Promotion’ and ‘Emission Reduction’?
Authors: Chen Weiling , Huang Min , Du Chunjing 
Published: October 2024

Abstract
The contemporary landscape sees the digital economy (DE) as a pivotal driver of economic evolution. Hence, scrutinising its potential to harmonise ‘efficiency promotion’ and ‘emission reduction’ and combat the challenges of climate change in this digital epoch is imperative. This study empirically investigates the influence of DE growth by evaluating its impact on carbon emission scale and energy efficiency. The study employs econometric modelling to delve into the internal mechanisms and diverse characteristics of DE evolution that influence ‘efficiency promotion’ and ‘emission reduction’. Findings underscore a significant capacity within the DE to ameliorate energy efficiency and curtail overall carbon emissions, revealing its dual prowess in fostering ‘efficiency promotion’ and ‘emission reduction’. Robustness tests affirm these outcomes, fortifying the conclusion. Additionally, the effects of DE development on ‘efficiency promotion’ and ‘emission reduction’ are validated in these tests. The study reveals that the ‘efficiency promotion’ and ‘emission reduction’ facets of DE progression exhibit distinctive regional disparities, notably manifesting more pronounced impacts in the eastern regions.
Influence of Diffusion Angle on Sediment Concentration in Front Inflow Forebay of Pumping Station
Authors: Fan Xinjian , Zhang Jiahui , Yao Wei , Dong Chunhai , Wang Lirong , Tian Hao 
Published: October 2024

Abstract
The numerical simulation and field investigation of solid-liquid two-phase flow are carried out in a large-scale forward intake forebay with various diffusion angles at the Jingtaichuan Pumping Irrigation Project in Gansu Province, China. The purpose is to investigate the properties of sediment deposition in the pumping station forebay. The results indicate that the low-sediment concentration area is in the forebay’s centre, whereas the high-sediment is near the two side walls flanks. The sediment concentration increases dramatically from the centre to the sides. Both the high-sediment concentration area and the sediment concentration increase with water depth. The forebay’s narrowing diffusion angle causes the high-concentration area to gradually decrease while the low-concentration area gradually increase. Furthermore, the amount of siltation and sediment deposition efficiency decrease, resulting in a large increase in forebay sediment concentration and sedimentation efficiency. The sediment concentration and water flow velocity reveal a quadratic polynomial relationship. This study can provide a guide and reference for the design and construction of comparable large-scale pumping station forebays.
Die Donau als Lebensader in Harald Grills Reisebuch Hinter drei Sonnenaufgängen. Balkanstreifzüge durch Rumänien und Bulgarien bis Odessa (2018)
Authors: Lindinger Stefan 
Published: October 2024

Abstract
Harald Grill is a German author from Eastern Bavaria who predominantly writes poetry and travel books, as well as travel features for radio and television. He became known due to his project of a ‘returning home twice’, when he walked back on foot to his hometown of Regensburg, on the river Danube, two times, in 2000 starting from the North Cape, and in 2001 starting from Sicily. In 2015, he travelled to Southeastern Europe and wrote a book based upon the experiences and reflections during this voyage. In the following, it shall be demonstrated how the river Danube, to which Grill since his childhood has had close biographical ties, structures the text of this travel book and moreover serves as a medium of self-reflection and therapeutic remedy following the author’s loss of his mother.
Lehnwörter und Internationalismen aus dem Französischen im Slowenischen: die Vermittlerrolle des Deutschen
Authors: Birk Uršula Krevs , Meulleman Machteld 
Published: October 2024

Abstract
The article deals with the role of the German language in the transfer of loanwords from French into Slovene. The process of borrowing is illustrated with examples from German and Slovene. An overview of the history of German-French and German-Slovenian language contacts and the resulting borrowings is presented, with numerous examples showing German as a mediating language for French borrowings. Finally, the criteria for internationalisms are discussed, and many French loanwords in Slovenian can be classified as international words.
Geotechnical Study of Oxidative Covering Layers for Sanitary Landfills
Authors: Almeida Alice Jadneiza Guilherme de Albuquerque , Lira Bruna Silveira , Gomes Guilherme José Correia , Jucá José Fernando Thomé , Mariano Maria Odete Holanda , Motta Sobrinho Maurício Alves da 
Published: October 2024

Objective: The aim of this study is to investigate the analysis of the geotechnical behavior of pure soil and mixtures of soil with composted product for use in landfill cover layers.

Method: The methodology adopted for this research includes laboratory tests for the physical characterization and determination of the properties of the materials used for the oxidative cover layer. To prepare the oxidative layer, it was necessary to mix organic compost with clay soil. The soil was collected from a deposit located near the Muribeca Landfill in Pernambuco.

Results and Discussion: The analyses performed allowed a positive assessment of the geotechnical capacity that the mixtures can provide under the condition of landfill cover layers. The mixtures had a small increase in the proportion of coarser granulometry, reducing the plasticity of the material with the addition of the compost, possibly increasing the permeability of the layer. Also, the addition of compost did not cause a great loss in the geotechnical load-bearing capacity of the material.

Research Implications: The material studied has shown potential suitability for use in oxidative covering layers for landfills, proving to be a viable alternative for implementation in smaller municipalities with less purchasing power, effectively reducing the need for the use of clayey materials, without compromising the safety of operation and subsequent use of the landfill site.

Originality/Value: One of the difficulties encountered by municipalities in the use of landfills is the search for materials suitable for the solution, especially in municipalities with less purchasing power or located in arid regions, where the use of conventional layers presents problems, with drying out and opening of fissures. The relevance and value of this research are evidenced by the viability of the association of clayey soils with organic compost for the preparation of oxidative covering layers, reducing the pollutant load of organic waste.