bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the therapeutic mechanisms of Coptidis Rhizoma in gastric precancerous lesions: a network pharmacology approach
Authors: Ye Xuxing , Yang Chao , Xu Hanzhi , He Qin , Sheng Lin , Lin Junmei , Wang Xiaobo 
Published: June 2024

Abstract
Background
Gastric precancerous lesions are a critical stage in the development of gastric cancer or gastric adenocarcinoma, and their outcome plays an important role in the malignant progression of gastric cancer. Coptidis Rhizoma has a good effect on Gastric precancerous lesions. However, the specific mechanisms of its action remain incompletely elucidated.

Methods
Network pharmacology and molecular docking techniques were used to explore the active ingredients and molecular mechanism of Coptidis Rhizoma in treating gastric precancerous lesions. The active compounds of Coptidis Rhizoma and their potential gastric precancerous lesions related targets were obtained from TCMSP, GeneCards, and OMIM databases. An interaction network based on protein–protein interactions (PPIs) was constructed to visualize the interactions between hub genes. Analysis of GO enrichment and KEGG pathway were conducted using the DAVID database. An investigation of interactions between active compounds and potential targets was carried out by molecular docking. Finally, animal experiments were conducted to verify the effect and mechanism of Coptidis Rhizoma in treating precancerous lesions of gastric cancer.

Results
A total of 11 active compounds and 95 anti-gastric precancerous lesions targets of Coptidis Rhizoma were screened for analysis. GO enrichment analysis showed that the mechanism of Coptidis Rhizoma acting on gastric precancerous lesions involves gene expression regulation and apoptosis regulation. KEGG pathway enrichment analysis showed that Coptidis Rhizoma against gastric precancerous lesions involving the AKT /HIF-1α/VEGF signalling pathway. Molecular docking simulations indicated potential interactions between these compounds and core targets involved in anti-gastric precancerous lesions activity. In addition, it was confirmed in vivo that Berberine and Coptidis Rhizoma may reverse atrophy and potential intestinal metaplasia by inhibiting the expression of p-AKT, HIFA, and VEGF.

Conclusion
Bioactive compounds in Coptidis Rhizoma have the potential to prevent atrophy and intestinal metaplasia. These compounds function by regulating the proteins implicated in AKT /HIF-1α/VEGF signalling pathways that are crucial in gastric epithelial cell differentiation, proliferation and maturation.
The Importance of Wetland Science for the Success of the D-Day Landings
Authors: Dunn Christian , Aberg Dan 
Published: June 2024

AbstractThe success of the D-Day landings during World War II was significantly influenced by the detailed reconnaissance and scientific analysis of coastal substrate, particularly peatlands, by Allied wetland scientists. This paper examines the critical role of wetland science in ensuring the feasibility of the Normandy invasion. Initial geological intelligence raised concerns about the stability of the beaches due to extensive peat deposits underlying the Normandy coast. To address uncertainties, the Combined Operations Pilotage Parties (COPP) conducted covert beach surveys, collecting substrate samples crucial for operational planning. These missions, undertaken under challenging conditions, identified suitable landing areas by analysing sediment composition and bearing capacities. The success of D-Day was, in part, attributed to the insights provided by wetland scientists, who highlighted the significance of substrate properties in operational success. Their contributions underscored the interdisciplinary nature of wartime planning, integrating scientific expertise with military strategy. This study illuminates the often-overlooked role of wetland science in pivotal historical events, emphasising its influence on strategic decision-making and operational outcomes during one of the 20th century’s defining battles.
Polyethylene microplastics as adsorbent of diazinon in aqueous environments: optimization, and modeling, isotherm, kinetics, and thermodynamic studies
Authors: Yari Mohammadreza , Bonyadi Ziaeddin , Najafpoor Aliasghar , Barikbin Behnam 
Published: June 2024

AbstractMPs have raised significant public concern due to their role as carriers of organic contaminants in aqueous solutions. DZN is a non-systemic organophosphorus pesticide that poses risks to human and environmental health. This study aimed to investigate the adsorption of DZN onto PE MPs by examining factors such as PE dose, reaction time, pesticide concentration, and pH through experimental runs based on the Box‒Behnken model. According to the Langmuir model, the maximum adsorption capacity of PE for DZN was 0.35 mg/g. The results indicated that the highest adsorption rate of DZN (92%) was observed in distilled water, while the lowest adsorption rate (57%) was observed in municipal wastewater. The ΔH° and ΔS° values were obtained as − 0.16 kJ/mol and 54.41 J/(mol K), respectively. Therefore, regarding negative ΔG° values, it can be concluded that the adsorption of DZN onto PE MPs is an exothermic, highly disordered, and spontaneous process. The findings indicate a reduction in the adsorption rate of DZN as the concentrations of interfering compounds increase. These findings offer understanding of the interaction between MPs and organic contaminants, emphasizing the need for further studies and approaches to reduce their harmful impact on human health and the environment.
Integrating FAIR Experimental Metadata for Multi-omics Data Analysis
Authors: Doniparthi Gajendra , Mühlhaus Timo , Deßloch Stefan 
Published: June 2024

AbstractThe technological advancements in bio-science research are resulting in the generation of vast amounts of complex and heterogeneous data sets from individual studies. Efficient Research Data Management solutions based on FAIR principles can guide the research groups toward standardizing and packaging the study-specific research results into uniquely identifiable digital objects that are easily traceable and identifiable, leading to knowledge discovery, collaboration, and innovation. However, to explore the inter-dependencies among data sets originating from different study disciplines, it is crucial to deploy a generic data-centric RDM solution that overcomes inherent challenges and helps manage complex data sets. This solution should respect participating groups’ data and security policies while providing an integrated data view. In this paper, we introduce , a cloud-native search & exploration application that integrates experimental metadata from individual research groups that have deployed PLANTdataHUB (FAIR-RDM) solution. The focus is on the parts of PLANTdataHUB and ARC Registry that facilitate near-real-time integration of experimental metadata from standardized digital objects (Annotated Research Contexts) across participating research groups.
Suspicious behaviour detection in multilayer social networks using PF-KMA and SS-GAE techniques
Authors: Sandeep B. L. , Siddesh G. M. , Naresh E. 
Published: June 2024

Abstract
Multilayer Social networks are an important part of human life to interact on different networks at the same time. Due to the openness of such networks, they become a platform for spammers to spread malicious behaviors. Hence, there is an urgent need for effective detection of malicious behaviors; thereby, enabling the networks to take mitigation actions to decrease the possibility to reward such activities. Detection of suspicious behaviors in previous works is challenging due to the problems of community detection, the large amount of feature corruption, and memory requirements. Thus, to deal with such problems, in this paper, an efficient clustering-based detection of malicious users in multilayer social networks is proposed. Initially, the input dataset is pre-processed and used for Exponential Distribution based Erdős–Rényi based graph construction. From the graph structure, two types of data, such as user representations and graph features are extracted for graph encoding using the Soft Sign activated Graph Auto Encoder model. Then, the decoding is done to predict the information diffusion level, thereby, ranking the users using the Laplace Regularization technique. Then, the ranked users are clustered into different groups using the Pareto Front based K-Means Clustering Algorithm technique. Finally, the experimental results were analyzed to demonstrate the efficacy of the proposed model to detect malicious users in multilayer social networks.
Artificial intelligence applied to laparoscopic cholecystectomy: what is the next step? A narrative review
Authors: Fernicola Agostino , Palomba Giuseppe , Capuano Marianna , De Palma Giovanni Domenico , Aprea Giovanni 
Published: June 2024

AbstractArtificial Intelligence (AI) is playing an increasing role in several fields of medicine. AI is also used during laparoscopic cholecystectomy (LC) surgeries. In the literature, there is no review that groups together the various fields of application of AI applied to LC. The aim of this review is to describe the use of AI in these contexts. We performed a narrative literature review by searching PubMed, Web of Science, Scopus and Embase for all studies on AI applied to LC, published from January 01, 2010, to December 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly improve surgical efficiency and accuracy during LC. Future prospects include speeding up, implementing, and improving the automaticity with which AI recognizes, differentiates and classifies the phases of the surgical intervention and the anatomic structures that are safe and those at risk.
Analytical Modeling Methods in Machining: A State of the Art on Application, Recent Challenges, and Future Trends
Authors: Korkmaz Mehmet Erdi , Gupta Munish Kumar , Sarikaya Murat , Günay Mustafa , Boy Mehmet , Yaşar Nafiz , Demirsöz Recep , Pehlivan Fatih 
Published: June 2024

AbstractInformation technology applications are crucial to the proper utilization of manufacturing equipment in the new industrial age, i.e., Industry 4.0. There are certain fundamental conditions that users must meet to adapt the manufacturing processes to Industry 4.0. For this, as in the past, there is a major need for modeling and simulation tools in this industrial age. In the creation of industry-driven predictive models for machining processes, substantial progress has recently been made. This paper includes a comprehensive review of predictive performance models for machining (particularly analytical models), as well as a list of existing models' strengths and drawbacks. It contains a review of available modeling tools, as well as their usability and/or limits in the monitoring of industrial machining operations. The goal of process models is to forecast principal variables such as stress, strain, force, and temperature. These factors, however, should be connected to performance outcomes, i.e., product quality and manufacturing efficiency, to be valuable to the industry (dimensional accuracy, surface quality, surface integrity, tool life, energy consumption, etc.). Industry adoption of cutting models depends on a model's ability to make this connection and predict the performance of process outputs. Therefore, this review article organizes and summarizes a variety of critical research themes connected to well-established analytical models for machining processes.
Addressing Criminal Liability for Misuse of Trade Secrets Under Australian Law: Is the Current Legal Framework Adequate to Protect the Interests of Owners of Trade Secrets?
Authors: Nashkova Suzana 
Published: June 2024

AbstractThe emergence and dominance of knowledge-based economies have heightened the importance of trade secrets as a “currency” for attaining competitiveness in the market and driving innovation. Yet espousing policies to govern trade secret protection, especially in the criminal law sphere, was not something on which legislative and regulatory policymakers traditionally focused. Recent legislative incentives at a global level have caused the tide to shift and, after decades of being somewhat neglected, the questions pertaining to criminal liability for trade secret misuse are finally gaining attention. The Australian response to recent initiatives ensued in 2018 with the enactment of the National Security Legislation Amendment (Espionage and Foreign Interference) Act 2018 (Cth) (“EFI Act”) which introduced the first statutory provisions dedicated to criminalisation of state-sponsored theft (economic espionage) of trade secrets. This Act, however, does not provide a comprehensive legal framework to address criminal liability for trade secret misuse, as it leaves outside the scope of its regulation the criminalisation of the theft of trade secrets by individuals for their own benefit. This paper analyses the adequacy of the Australian legal regime concerning criminal liability for trade secret misuse. The analysis is informed by a comparison of the legal provisions of the Australian trade secret regime with that adopted in the United States (“U.S.”) which currently offers a comprehensive framework of protection and criminalises economic espionage as well as the theft of trade secrets. This comparative analysis serves to determine: first, whether the “one way” avenue of statutory protection under Australian law suffices to protect the interests of the owners of trade secrets; and, second, whether a potential reform of the regime designed to include dedicated statutory provisions to criminalise the theft of trade secrets, as is the case in the U.S., could potentially afford a more adequate protection of the interests of trade secret owners.
Vignettes: an innovative qualitative data collection tool in Medical Education research
Authors: Western Sylvia Joshua , McEllistrem Brian , Hislop Jane , Jaap Alan , Hope David 
Published: June 2024

AbstractThis article describes how to make use of exemplar vignettes in qualitative medial education research. Vignettes are particularly useful in prompting discussion with participants, when using real-life case examples may breach confidentiality. As such, using vignettes allows researchers to gain insight into participants’ thinking in an ethically sensitive way.
Analysis of geological factors affecting propagation behavior of fracture during hydraulic fracturing shale formation
Authors: Gong Xun , Ma Xinhua , Liu Yuyang 
Published: June 2024

AbstractThe complexity of hydraulic fracture network generation during the fracturing of shale reservoirs is a key indicator of the effectiveness of fracture stimulation. To obtain as large a reservoir stimulation volume as possible, this paper reviews articles on the study of hydraulic fracture propagation mechanism during hydraulic fracturing, analyses the factors affecting hydraulic fracture propagation, and classifies them into two categories: geological factors and engineering factors. In particular, the geological factors affecting hydraulic fracture propagation are classified into five categories: mineral composition of the shale, connections between mineral grains, defects in the shale, geostress, and temperature. Various influencing factors act together, resulting in the hydraulic fracture propagation path is difficult to predict. Therefore, this paper firstly explores the hydraulic fracture propagation pattern under the action of single geological factors and specifies its action mechanism; secondly, it also analyses the hydraulic fracture propagation pattern under the combined action of multiple geological factors and analyses its action mechanism. It is clear that relatively high brittle mineral content and temperature, low stress anisotropy and cementation strength, and a more developed natural fracture network are conducive to the generation of a complex fracture network. By analyzing the influence mechanism of single factors and multiple factors, the influence mechanism of geological factors on hydraulic fracture propagation is identified, guiding the optimal design of hydraulic fracturing.
The Effect of Zr and Li on the Microstructure of AlMg5Si2Mn-Type Casting Alloys
Authors: Boyko Viktoriya , Mykhalenkov Kostiantyn , Springer Armin , Kessler Olaf 
Published: June 2024

AbstractIn the article, the authors present results of microstructural studies of Al-Mg-Si-Mn casting alloys with Zr, Li, and TiB2 additions on a broad scale. Zirconium content was set on two levels: 0.34 and 1.58 wt%, and Li was set 1.2 and 2.0 wt%. It was found that the addition of Zr shifts the eutectic melting temperature to a higher level, up to 611.3 °C at 1.6 wt% Zr. At the same time, Li addition leads to the depression of eutectic melting temperature: down to 587.2 °C at 2.0 wt% Li, what is a common effect of eutectic modification which was confirmed by means of structural examinations. The complex addition of Li and AlTi5B1 resulted in a eutectic melting temperature close to the equilibrium eutectic temperature for the Al-Mg-Si system (596.2 °C). The grain refinement effect of Zr is due to the nucleation of α-Al on the Zr(Al1−x, Six)3 phase. Crystals of this phase were detected in the grain centers of Zr-containing alloys. The Li addition does not affect α-Al grain size but changes the morphology of eutectic colonies from petal-like to fibrous. Observation of TiB2 particles inside the primary Mg2Si crystals gives direct experimental confirmation of nucleation of the primary phase on the surface of TiB2 in the alloy after adding Li and AlTi5B1. Natural aging of the alloys resulted in the formation of fine precipitates detected close to dislocations. The most apparent supposition is that the mechanism responsible for their formation is heterogeneous nucleation in the stress field of dislocations. Hardness tests showed adding 2.0 wt% of Li is very effective, increasing hardness up to 113 HV0.2 in naturally aged condition, which is nearly double that of commercial Al-Mg-Si die-casting alloy. Several effects were proposed which may synergistically contribute to the rise of hardness in Li-containing alloys, such as solid solution strengthening, formation of primary LiAlSi phase and natural aging.
Theoretical and experimental constraints for the equation of state of dense and hot matter
Authors: Kumar Rajesh , Dexheimer Veronica , Jahan Johannes , Noronha Jorge , Noronha-Hostler Jacquelyn , Ratti Claudia , Yunes Nico , Nava Acuna Angel Rodrigo , Alford Mark , Anik Mahmudul Hasan , Chatterjee Debarati , Chatziioannou Katerina , Chen Hsin-Yu , Clevinger Alexander , Conde Carlos , Cruz-Camacho Nikolas , Dore Travis , Drischler Christian , Elfner Hannah , Essick Reed , Friedenberg David , Ghosh Suprovo , Grefa Joaquin , Haas Roland , Haber Alexander , Hammelmann Jan , Harris Steven , Haster Carl-Johan , Hatsuda Tetsuo , Hippert Mauricio , Hirayama Renan , Holt Jeremy W. , Kahangirwe Micheal , Karthein Jamie , Kojo Toru , Landry Philippe , Lin Zidu , Luzum Matthew , Manning Timothy Andrew , Salinas San Martin Jordi , Miller Cole , Most Elias Roland , Mroczek Debora , Muronga Azwinndini , Patino Nicolas , Peterson Jeffrey , Plumberg Christopher , Price Damien , Providencia Constanca , Rougemont Romulo , Roy Satyajit , Shah Hitansh , Shapiro Stuart , Steiner Andrew W. , Strickland Michael , Tan Hung , Togashi Hajime , Portillo Vazquez Israel , Wen Pengsheng , Zhang Ziyuan ,   MUSES Collaboration
Published: June 2024

AbstractThis review aims at providing an extensive discussion of modern constraints relevant for dense and hot strongly interacting matter. It includes theoretical first-principle results from lattice and perturbative QCD, as well as chiral effective field theory results. From the experimental side, it includes heavy-ion collision and low-energy nuclear physics results, as well as observations from neutron stars and their mergers. The validity of different constraints, concerning specific conditions and ranges of applicability, is also provided.
Interprofessionelle Konflikte von Grundschullehrkräften und sonderpädagogischen Lehrkräften im Kontext von Inklusion
Authors: Urbanek Claudia , Rank Astrid 
Published: June 2024

ZusammenfassungIn diesem empirischen Beitrag wird untersucht, welche Konflikte Grundschullehrkräfte und sonderpädagogische Lehrkräfte, die bei oder durch ihre interprofessionelle Kooperation in inklusiv arbeitenden Grundschulen entstehen, in ihrem Arbeitsalltag erleben. In der interpretativ-phänomenologischen Analyse der Interviewdaten zeigt sich, dass die Konfliktgegenstände (Issues) der Lehrkräfte beider Professionen bei den Erwartungen und Enttäuschungen im Bereich des professionellen Handelns und Umgangs mit den Kindern liegen. Für die aufgeworfenen Issues werden Ansatzpunkte für die Bearbeitung bzw. Lösung aufgezeigt. Es werden Schlussfolgerungen hinsichtlich der erforderlichen Professionalisierung im Umgang mit berufsbezogenen Konflikten und geeigneter Formate in der Lehrkräftebildung gezogen.
Sailing aboard the training ship Saltillo. An extracurricular experience in education for sustainable development
Authors: Rekalde-Rodríguez Itziar , Barrenechea Julieta , Zinkunegi-Goitia Olatz 
Published: June 2024

AbstractInternational bodies demonstrate their commitment to the sustainability paradigm and the Education for Sustainable Development (ESD) approach through university curricula and activities that address global challenges such as poverty, inequality, and environmental degradation. The literature suggests that extracurricular activities designed from such an approach play a vital role in working towards the Sustainable Development Goals (SDGs) as they foster awareness, commitment and action. This paper explores the profile of students participating in an extracurricular ocean sustainability activity aboard the training ship Saltillo and the learning derived from it. The need arises from wanting to know some key ideas that can inspire the design and implementation of ESD-based extracurricular activities that promote the SDGs. The method consisted of a case study using e-logbooks, cover letters, Lego® Serious Play® and questionnaires as instruments. The results expose the students’ interests and academic and personal motivations to take part in the activity. Learning about sailing, sustainability, shared living, and self-awareness of their own transformation are also explored. The study offers ten tips to guide and inspire how extracurricular university activities based on the ESD approach and aimed at the SDGs can be designed.