bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hederagenin regulates the migration and invasion of hepatocellular carcinoma cells through FOXO signaling pathway
Authors: Bao Shuchang , Li Songzhe , Sun Yang 
Published: October 2024

Objective
This study aimed to elucidate the effects of Hederagenin (HG) on hepatocellular carcinoma (HCC) and explore its potential molecular mechanisms.

Materials and methods
Virtual screening was employed to identify potential targets within core pathways of liver cancer and to analyze the possible mechanisms of HG. CCK-8 assays were used to assess the viability of HCC cells, while Hoechst 33342/PI staining was utilized to evaluate apoptosis. The migration and invasion abilities of HCC cells were examined using Transwell and scratch assays, and single-cell cloning ability was assessed via colony formation assays. Subsequent qRT-PCR was conducted to determine the mRNA expression levels of FOXO1 and FOXO6 following HG treatment. Western blot (WB) analysis was employed to measure the protein expression levels of IGF1R, FOXO1, FOXO6, MMP2, MMP9, and VEGFA, as well as the phosphorylation status of FOXO1 Ser249.

Results
Virtual screening indicated that HG might exert antitumor effects through the FOXO signaling pathway. Experimental results demonstrated that HG induces apoptosis in a dose-dependent manner and inhibits the proliferation, migration, invasion, and single-cell cloning ability of HCC cells. After HG treatment, FOXO1 expression was upregulated, while the expression levels of IGF1R, phosphorylated FOXO1 Ser249, MMP2, MMP9, and VEGFA were downregulated.

Conclusion
In summary, our study is the first to demonstrate that HG regulates the phosphorylation of FOXO1, affecting the proliferation, migration, and invasion of HCC cells. The findings suggest that HG can inhibit the migration of HCC cells in vitro. The data indicate that HG-mediated targeting of the FOXO1/FOXO6 pathway holds promise as a novel therapeutic approach.
Family History of Colorectal Cancer and the Risk of Colorectal Neoplasia: A Systematic Review and Meta-Analysis
Authors: Gao Kai , Jin Huyi , Yang Yi , Li Jiayu , He Yuanliang , Zhou Ruiyao , Zhang Wanting , Gao Xiangrong , Yang Zongming , Tang Mengling , Wang Jianbing , Ye Ding , Chen Kun , Jin Mingjuan 
Published: October 2024

INTRODUCTION:
Although there is enough pooled evidence supporting the positive association between family history of colorectal cancer (CRC) in first-degree relatives (FDRs) and the risk of CRC, synthesized data on its association with the risk of other colorectal neoplasia are lacking. Therefore, we aimed to systematically assess this issue.

METHODS:
We searched PubMed, Web of Science, and Embase from database inception through May 9, 2024, to identify observational studies investigating the association between family history of CRC in FDRs and the risk of colorectal neoplasia (excepting CRC). Adenoma, nonadvanced adenoma (NAA), advanced adenoma (AA), and advanced neoplasia (AN) were further chosen as main outcomes because of data availability. Random-effects model was used for data synthesis. Subgroup meta-analyses were performed to evaluate the robustness of results.

RESULTS:
Of 5,172 initial records screened, 75 studies (with 931,515 participants) were identified for analysis. Family history of CRC in FDRs was associated with increased risk of adenoma (pooled odds ratio [OR] 1.67, 95% confidence interval [CI] 1.46–1.91), NAA (pooled OR 1.35, 95% CI 1.21–1.51), AA (pooled OR 1.66, 95% CI 1.46–1.88), and AN (pooled OR 1.58, 95% CI 1.44–1.73). The positive associations persisted in all examined subgroups. The risk of adenoma (pooled OR 4.18, 95% CI 1.76–9.91), AA (pooled OR 2.42, 95% CI 1.72–3.40), and AN (pooled OR 2.00, 95% CI 1.68–2.38) was more evident among individuals with 2 or more affected FDRs.

DISCUSSION:
Family history of CRC is associated with increased risk of adenoma, NAA, AA, and AN totally, and in all available subgroups. The findings further strengthen the necessity and importance of an intensified screening strategy for individuals with a positive family history of CRC, which is very useful for related health resource allocation and policymaking.
AI-assisted marking: Functionality and limitations of ChatGPT in written assessment evaluation
Authors: Li Joan , Jangamreddy Nikhil Kumar , Hisamoto Ryuto , Bhansali Ruchita , Dyda Amalie , Zaphir Luke , Glencross Mashhuda 
Published: October 2024

Generative artificial intelligence technologies, such as ChatGPT, bring an unprecedented change in education by leveraging the power of natural language processing and machine learning. Employing ChatGPT to assist with marking written assessment presents multiple advantages including scalability, improved consistency, eliminating biases associated with human subjectivity. This work aimed to evaluate the usefulness, reliability and accuracy of ChatGPT in marking written assessments of varied types and to identify its limitations and challenges. ChatGPT was instructed using a set of prompts to mark the assessment based on a rubric. ChatGPT was able to evaluate and assess both coding and reflective assessments and to distinguish between assignments of different quality, demonstrating high consistency and accuracy for higher quality assessments, comparable to a human marking. ChatGPT was also able to generate textual detailed justifications based on the rubric and assessment task description. There was a significant difference in the outcomes generated by different prompts. These preliminary findings suggest that utilising ChatGPT as a marking assistant can increase written assessment marking efficiency, reduce cost and potentially decrease the unfairness and bias by providing a moderating perspective.

Implications for practice or policy:

Assessment designers could reconsider the design, purpose and objectives of written assessments and leverage ChatGPT effectively for teaching and learning.
Assessors might consider adapting the technology as a grading aid, to support a human-in-the-loop grading process, providing additional resources and time, moderating and refining individual feedback, to increase consistency and quality.
Curriculum and programme leaders could develop guidelines around the ethical use of generative AI-assisted assessment practice, monitor and regulate the ongoing evaluation and refinement.
Study abroad experiences in homestay: where complexity, dynamicity, and individuality stay
Authors: Ke Chuanren , Lu Yuan 
Published: October 2024

Abstract
Informed by Complex Dynamic Systems Theory, this study examines the nature of homestay as a situated language learning site, with an eye toward the development of American student guests and Chinese host families’ homestay experiences within the larger context of the study abroad (SA) program and local community. Drawing on data collected from host families and student guests, this study discovers benefits, conflicts, and co-adaptations in homestay; the evolution of host families’ dispositions toward homestay; student guests’ proficiency gains and interactions with hosts and locals; and contextual factors that influence the proficiency gains and interactions. The findings reveal that homestay is a dynamic, self-evolving subsystem, which constantly interacts with other dynamic subsystems, such as the SA program and local community, within the complex social ecosystem of the entire SA environment. This study also provides suggestions for the design and management of the homestay component in the SA program and future research.
Study on theoretical model and actual deformation of weft-knitted transfer loop based on particle constraint
Authors: Jing Zhang , Honglian Cong 
Published: October 2024

Abstract
In order to derive the structural properties and deformation behavior of the weft-knitted transfer fabric, a multilayer spring-mass geometric circle model with weft-knitted transfer loop is provided in conjunction with the fabric samples’ image. Eight type-value points were utilized to control the transfer loop’s morphological structure. Connections between the type-value points and the particle system were established. Non-uniform rational B spline curves and texture mapping were utilized to create the three-dimensional impression of the weft-knitted transfer loop. By measuring the offset of the type-value points in conjunction, the actual deformation of the weft-knitted transfer fabric was determined. Utilizing a cylindrical envelope box for collision detection, the possible unreasonable interpenetration phenomenon in the simulation was solved, and thus a stable weft-knitted transfer loop structure was obtained. Using Microsoft Visual Studio and C#, the deformation of the weft-knitted transfer fabric was simulated, the simulated weft-knitted transfer fabric’s deformation pattern accurately depicts the fabric’s three-dimensional structure and deformation behavior while also matching the structural characteristics of the fabric sample. The findings demonstrate that the theoretical structural model of weft-knitted transfer fabric constructed can accurately represent the loop’s structure, and the actual deformation of the simulated weft-knitted transfer fabric is consistent with the deformation characteristics of the fabric sample. Weft-knitted transfer fabric’s deformation behavior may be effectively reflected by the multilayer spring-mass geometric circle model, allowing for the modeling of the fabric’s morphology and 3D structure.
Semantic Matching Interface für semantisch heterogene Industrie 4.0 Verwaltungsschalen
Authors: Heppner Sebastian , Both Maximilian Alexander , Miny Torben , Müller Jochen , Diedrich Christian , Kleinert Tobias 
Published: October 2024

Zusammenfassung
Im Rahmen von Industrie 4.0 wurde die Verwaltungsschale als die Technologie für Interoperabilität entwickelt und durch Spezifikationen definiert. Während die syntaktische Interoperabilität durch standardisierte Schemata, z. B. JSON Schema, XSD oder RDFS, erreicht werden kann, bleibt die Sicherstellung der semantischen Interoperabilität eine Herausforderung, insbesondere wenn heterogene Definitionen von semantischen Beschreibungen verwendet werden. Aufgrund der Vielfalt und großen Anzahl an Teilnehmern innerhalb eines Industrie 4.0 Wertschöpfungsnetzwerks erscheint die Einigung auf einen einzigen Standard semantischer Beschreibungen unwahrscheinlich. Darüber hinaus existieren mehrere Methoden, um diese Beschreibungen aufeinander abzubilden (engl. matching). Diese reichen von der manuellen Definition von Äquivalenzbeziehungen über eine algorithmische Analyse von OWL-Ontologien bis hin zur Nutzung von speziell trainierten KI-Modellen. Zur Handhabung dieser Heterogenität wird ein Konzept vorgestellt, welches den Zugriff auf die verschiedenen Quellen semantischer Beschreibungen sowie verschiedene Methoden ihres Matchings durch ein einheitliches Interface abstrahiert, sodass ein Beitrag zur Verbesserung semantischer Interoperabilität geleistet wird.
Vorgehen für die Entwicklung einer Architektur für menschzentrierte KI in der Fertigung
Authors: Belke Manuel , Beiki Hossein Omid , Ochel Janis , Plum Franziska , Petrovic Oliver , Brecher Christian 
Published: October 2024

Zusammenfassung
Um eine hohe Qualität in Produktionsprozessen zu realisieren, ist die Expertise von Prozessexperten von entscheidender Bedeutung. Die Aufnahme und Formalisierung des Wissens erfordern die Entwicklung einer menschzentrierten künstlichen Intelligenz (KI) und insbesondere einer Architektur, die die Integration des Menschen während des gesamten Entwicklungsprozesses erlaubt. Es wird die Entwicklung einer Architektur für eine menschzentrierte KI beschrieben, die die Anforderungen verschiedener Fertigungsverfahren berücksichtigt und gleichzeitig die Anforderungen der in dem Entwicklungsprozess beteiligten Personen berücksichtigt.
Integrative in silico evaluation of the antiviral potential of terpenoids and its metal complexes derived from Homalomena aromatica based on main protease of SARS-CoV-2
Authors: Goswami Ashis Kumar , Aboul-Soud Mourad A. M. , Gogoi Neelutpal , El-Shazly Mohamed , Giesy John P. , Tüzün Burak , Aziz Ibrahim M. , Almajhdi Fahad N. , Sharma Hemanta Kumar 
Published: October 2024

Abstract
Substantial research is currently conducted focusing on the development of promising antiviral drugs employing in silico screening and drug repurposing strategies against SARS-CoV-2. The current study aims at identifying lead molecules targeting SARS-CoV-2 by the application of in silico and molecular dynamics (MD) approaches from phytoconstituents present in Homalomena aromatica. The main protease (Mpro) enzyme of SARS-CoV-2 is taken as the target protein to perform the docking analysis of 71 molecules reported from H. aromatica by the application of different modules of Discovery Studio 2018. Five molecules were taken as prospective leads namely dihydrocuminaldehyde, p-cymen-8-ol, cuminaldehyde, p-cymene, and cuminol. In the absence of known inhibitors, a comparative study was performed with the compounds reported in the literature and potent terpenoid–metal complexes were taken into account based on known efficacy as anti-viral molecules. After performing the docking studies with Mpro enzyme of SARS-CoV-2, it was observed that the –CDocker Energy of cuminaldehyde thiosemicarbazone was 29.152, indicating a significant affinity toward Mpro. The same was also supported by the MD study. Taken together, our results provided in silico evidence that secondary metabolites derived from H. aromatica could be employed as potent antiviral agents targeting SARS-CoV-2. Our findings warrant further validation of their in vitro and in vivo efficacies prior to their development into bona fide therapeutic agents.
Payment Clearing and Regional Economy Development Based on Panel Data of Sichuan Province
Authors: Liu Jie , Ding Zhao 
Published: October 2024

Abstract
The payment and clearing system can objectively record the operation of funds for social and economic activities, and the use of payment and clearing data can be made to monitor regional economic changes sensitively. Employing panel data of cities and prefectures in Sichuan Province from 2010 to 2021, this article employs econometric analysis to examine the link between payment and clearing data and the regional economy. The paper’s focus includes the payment and clearing system and economic indicators. The increase in the total amount of payment and clearing data has a significant positive correlation with digital economic development. Only by regression between the total amount of payment and clearing and regional gross domestic product (GDP), it can be found that every 1% increase in payment and clearing can increase regional GDP by 0.476%. After controlling factors such as important production factors, openness, and government intervention, the elasticity coefficient is still 0.1%, and the correlation is significant. Therefore, the amount of payment and liquidation is a valuable predictor of regional economic development. And thus providing Intelligent decision-making references for the policy formulation and strategic planning of governmental departments and regulatory agencies.
Petrography and geochemistry of pegmatite and leucogranite of Ntega-Marangara area, Burundi, in relation to rare metal mineralisation
Authors: Akabahinga Quesnay de Jésus , Bolarinwa Anthony Temidayo , Ntiharirizwa Seconde 
Published: October 2024

Abstract
The Ntega-Marangara area, part of the Kanyaru supergroup, Western Domain of Karagwe Ankole Belt, hosts numerous pegmatite veins related to the leucogranite. This investigation aims to characterise the granitoids, their alteration products, and rare metal mineralisation potentials. Quartz, plagioclase, microcline, albite, and muscovite are the essential minerals in both the pegmatite and leucogranite. The ΣREE of the pegmatite and leucogranite are 147 and 102 ppm, respectively. The greisen with Rb, Cs, Ta, Li, Nb, and Sn of 5,940, 1,015, >2,500, 130, 1,595, and 671 ppm, respectively, is higher than the corresponding values of 636, 62, 32, 74, 58, and 110 ppm of the kaolinised pegmatites. This enrichment classifies them as lithium–caesium–tantalum pegmatite. The mean K/Rb, K/Cs, and Nb/Ta in the leucogranites are 106.86, 2819.24, and 4.30, pegmatite is 35.33, 469.47, and 3.1, and greisen is 14.05, 82.2, and 0.64, respectively, which suggest that greisenisation due to metasomatic reactions of late hydrothermal activity could have increased the potential for rare metal mineralisation of the altered pegmatite. Pegmatite of Ntega-Marangara area is enriched in LREE relative to HREE with K/Rb ratio <100, indicating a high level of fractionation and mineralisation in Ta–Nb, Sn, and Li in contrast to the leucogranite that is less fractionated and barren.
Monitoring water infiltration in multiple layers of sandstone coal mining model with cracks using ERT
Authors: Du Liang , Qin Teng , Mizunaga Hideki , Zong Zhongling , Zhu Wenjin , Zhu Zhenglei 
Published: October 2024

Abstract
Many engineering disasters are related to water infiltration in cracks. Understanding the water infiltration in multi-layered sandstone cracks is crucial for monitoring and preventing water-related disasters in coal mines. In this study, we utilized the electrical resistivity tomography (ERT) technique to conduct a water infiltration monitoring experiment on the 2d-strata-model with cracks. The electrical resistivity ratio profiles with respect to the background unveiled the existence of three cracks. Model photography demonstrates two cracks of those cracks. The infiltration cracks exhibit distinct shape of a stripe or island chain electrical change ratio anomaly in the resistivity ratio profiles. Electrical resistivity change ratio is associated with the infiltration within the cracks. As the infiltration progresses, the resistivity change ratios relative to the background gradually decreases. This is evident in the reduction in ratios in the original stripe or island chain areas in the electrical resistivity ratio profiles. The diminished range expands, manifesting as an increase in the area of the original stripe or island chain. The infiltration patterns of the cracks can be categorized into three types: a stripe pattern, island chain and stripe pattern, and island chain pattern. The preferential flow paths along the crack are related to both the infiltration time and the volume of infiltration. In the early stages, there are clear preferential flow paths along cracks. However, as infiltration time and volume increase, these preferential flow paths along the cracks become less pronounced and may even disappear. The findings prove that ERT is suitable for monitoring water infiltration along the cracks in multi-layered sandstone in the early infiltration stage. Experiment results monitoring water infiltration cracks on the 2D-model show that the ERT and 2D-model are suitable for studying water infiltration along the cracks. This research can provide valuable reference for preventing engineering disaster.
Analyse von Aufgaben und Items für das Leseverstehen am Beispiel der DSH
Authors: Friedland Alice , Sabo Milica 
Published: October 2024

Zusammenfassung
Testmethodische Auswertungen stellen ein obligatorisches Element in der Entwicklung von High-Stakes-Tests dar. Im vorliegenden Beitrag wird die Bedeutung der Itemanalyse als Teil des Qualitätssicherungsverfahrens im Prüfungserstellungs- und Prüfungsüberarbeitungsprozess der Deutschen Sprachprüfung für den Hochschulzugang (DSH) thematisiert. Exemplarisch für die Prüfungsteile der rezeptiven Fertigkeiten wird die Itemanalyse mit den Kennwerten der Itemschwierigkeit und der Trennschärfe an einem Beispiel für das Leseverstehen vollzogen. Anhand von drei Beispielaufgaben wird deren Überarbeitungsprozess detailliert beschrieben und der Mehrwert der Itemanalyse in der Qualitätssicherung herausgestellt. Abschließend werden die Möglichkeiten der Itemanalyse und deren Bedeutung im DSH-Kontext diskutiert.
Chunks/formelhafte Sequenzen bei Textproduktionen – eine Praxisreflexion
Authors: Krekeler Christian , Yildirim Hülya 
Published: October 2024

Zusammenfassung
Bei DSH-Textproduktionen greifen Prüflinge häufig auf Chunks oder formelhafte Sequenzen zurück. Diese Elemente führen bei der Bewertung zu Unsicherheiten, da sie ohne eine sprachliche Analyse gespeichert werden und der Gebrauch keine eindeutigen Rückschlüsse darauf zulässt, ob die verwendeten Strukturen regelgeleitet/kreativ gebildet wurden. In der DSH-Musterprüfungsordnung wird deshalb empfohlen, die Aufgabe so zu stellen, dass der Gebrauch formelhafter Sequenzen ausgeschlossen wird. Allerdings sollte der Wert des Chunkings für den Spracherwerb und für die Teilnahme an wissenschaftlicher Kommunikation anerkannt werden. In der vorliegenden Praxisreflexion werden exemplarisch drei DSH-Textproduktionen untersucht, um Hinweise für eine sinnvolle Berücksichtigung von Chunks bei der Bewertung zu gewinnen. Die Beispiele verdeutlichen, dass nur wenige allgemeine Leitlinien abgeleitet werden können. Im Einzelfall ist zu klären, ob der Gebrauch formelhafter Wendungen auf einen kompetenten Sprachgebrauch hinweist.
A critical review on the active anti-viral metabolites of bioprospecting traditionally used plant species from semi-arid regions of the subcontinent
Authors: Naz Aliya , Chowdhury Abhiroop , Pareek Shubhra , Kumar Pushpendra , Poddar Nitesh Kumar 
Published: October 2024

Abstract
Plants are crucial medicinal resources, with 80 % of people relying on them for primary healthcare. The search for natural antiviral compounds is increasing, especially in semi-arid ecosystems where abiotic stress promotes the production of beneficial secondary metabolites. This review highlights semi-arid plants with the potential as functional foods to combat viral diseases and other illnesses. Literature was searched in databases like ScienceDirect to gather information on novel compounds from stress-tolerant semi-arid plant species. These compounds have potential uses in treating viral infections and other health issues such as diabetes and high blood pressure. The review screened 61 semi-arid plants known for their antiviral metabolites. Eight plants were identified with novel antiviral compounds. Key metabolites include agathisflavone, pectic arabinogalactan, azadirachtin, aloin, aloe-emodin, aloesaponarin I, allicin, terpenoids, chlorogenic acids, curcumin, chromones, β-sitosterol, lupeol, oleuropein, carissol, β-amyrin, and ∆-9-tetrahydrocannabinol. Stress-tolerant semi-arid plants are significant sources of metabolites for treating infectious diseases and boosting immune systems. Further research on these metabolites in animal models is needed to verify their efficacy for treating human diseases during endemic and pandemic outbreaks, such as COVID-19.