bluuebunny/crossref_metadata_2025_split huggingface dataset:
A MODULAR SIMULATION‐BASED MBSE APPROACH APPLIED TO A CLOUD‐BASED SYSTEM
Authors: Booth Thomas M. , Ghosh Sudipto 
Published: September 2024

AbstractThe current state of the practice of Model‐Based Systems Engineering (MBSE) methodologies, system specification models, and executable system simulations lack the capability of simulation execution within a single system specification model with the fidelity required for time‐dependent simulation towards the design, analysis, and optimization of complex software‐based systems. In this paper we develop and demonstrate a modular simulation‐based MBSE approach capable of filling this gap. To accomplish this within a single system specification model we embed a combination of modeled simulation activities, opaque behaviors, and simulation specific functions to execute and manage the time‐dependent simulation variable arrays. We applied our MBSE approach on the design and analysis of a hybrid on‐prem/cloud data system example that meets the complex, software‐based, and time‐dependent requirements this approach was built to solve. The results show that our approach produces a modular and time‐dependent simulation‐enabled system specification model that accurately estimates cloud‐based system performance and storage cost as a function of time. Emergent system behaviors observed from the simulation results indicate the system model provides foundational design and analysis capabilities that are required for applying system optimization algorithms.
Modeling Enterprise Software with UAF
Authors: Hause Matthew , Kihlström Lars‐Olof 
Published: September 2024

AbstractSystems and Software Engineers often have an uneasy relationship. The job of the systems engineer is to work with the stakeholders to define a set of requirements that meet their needs. These are then allocated to various solution spaces such as electronic hardware, mechanical, procedural, and software among others. For many systems, the functional requirements are almost exclusively software requirements. Correspondingly, as an increasing amount of project manpower, schedule time, and budget are allocated to software, it becomes increasingly important that systems and software engineers communicate effectively. The Systems Modeling Language (SysML) has helped in this regard in that it can provide executable behavioral models with precise semantics to express software requirements in a model. These models define “What is required” without overly constraining the implementation. In addition, SysML can be used to define performance constraints, required concurrency, hardware memory and processor budgets, interfaces, safety critical requirements, etc. These aspects are essential for software engineers to understand the constraints and limitations of their environment. At the System of Systems (SoS)/Enterprise level, defining software/systems employs a similar pattern, but at a higher level of abstraction. In the Unified Architecture Framework, capabilities are defined for the enterprise, with systems and software allocated to realize the capabilities. In the same way that capabilities depend on one another, the implementing systems and software interact to support each other. In the past, enterprise software would be modeled as residing in mainframes in a federated software pattern. Modern software can be modeled throughout the enterprise in a distributed network that can adapt to the changing needs of the enterprise to do load leveling, dynamic and late binding, reconfiguration, and reallocation of hardware resources as necessary. If the domain includes the Industrial Internet of Things (IIOT), then deployment could include edge devices, embedded software, Programmable Logic Controllers (PLC), PCs, servers, cloud computing, and of course mainframes. The Object management Group (OMG) Data Distribution Services (DDS) standard enables these capabilities across these devices in a universal format implemented by multiple vendors. However, before this complex system of systems can be implemented, it must first be architected and designed to ensure that it will be fit for purpose both now and as the complex system of systems expands and evolves. This paper will examine the aspects of modeling software in the UAF, and how it can help guide enterprise and system and software architecture.
Exploring the Executable SysML Capabilities to Integrate and Operate Hardware in the Loop
Authors: Yeiser Alexander , Pavalkis Saulius , Yakimenko Oleg 
Published: September 2024

AbstractThese days, systems engineers use advanced software tools and standardized modeling methods to break down complex systems into simpler, less complicated parts that are easier to understand. This includes CATIA Magic that allows for systems architecture, as well as more in‐depth Systems Modeling Language (SysML) modeling and simulation. The goal of this paper is to explore the capabilities of SysML to model and control hardware in the loop (HIL). The model of a weapon system was created using several different diagrams commonly used in SysML. When these diagrams are used together with the CATIA Magic simulation toolkit (Magic Model Analyzer), they can be made executable and used for simulation purposes. While CATIA Magic was selected to provide a digital model of the weapon system, a LEGO Mindstorms EV3 development kit was selected to create a mockup of a physical system. The CATIA Magic model reacts to the inputs received from the LEGO sensors and sends control signals to motors built into the LEGO model. In general, the integration between the LEGO Mindstorms and CATIA Magic can be done successfully, however, this study revealed certain limitations pertinent to the current capability of CATIA Magic to make connections between the SysML model and LEGO hardware. While these limitations did not allow for a full integration and in‐depth testing of the created dynamic model, as intended, the paper presents the current state of the project discussing what is involved in integrating CATIA Magic and LEGO Mindstorms kits and what functionality could be achieved by doing this. The paper pursues both the educational aspect that allows a deeper exploration of the modern system modeling tools, and the practical aspect, showing how a SysML model can be integrated with HIL to provide opportunities to better understand the design space at earlier stages of system development.
Do Algorithms Dream of Electric Requirements? Leveraging AI‐Based Approaches for Automated Allocation and Classification of Requirements in Railway Engineering
Authors: Martín Rodríguez David , Ferrer Jaume Sanso 
Published: September 2024

AbstractIn recent years, Artificial Intelligence has experienced an extraordinary growth. Systems Engineering is a discipline where the implementation of AI can be challenging, but that could immensely benefit from its capabilities. This paper presents one of the many implementations that AI can have within the Systems Engineering field. AI has been leveraged to create an algorithm that allows for the automatic identification and classification of requirements within a specific engineering sector: large railway projects. While text classification algorithms are well established, the key to a successful implementation of a requirements classification algorithm lays on the effective structurization of the data, as well as the high quality of the training datasets. This paper describes how an AI‐based requirements classification algorithm has been planned and trained to effectively classify requirements in future documents based on systems and subsystems from a System Breakdown Structure (SBS), as well as to predict the adequate method of verification for both the Design and Testing and Commissioning stages of a railway project.Finally, the paper showcases how the use of this AI‐based requirements classifier does not only lower the probability of human error, but also reduces ∼75% human workload per project. Additionally, overall ∼30% cost savings to organizations are expected in a 10‐year period in the task of classifying requirements with respect to manual classification performed by subject matter experts.
LLM‐based Approach to Automatically Establish Traceability between Requirements and MBSE
Authors: Bonner Maria , Zeller Marc , Schulz Gabor , Savu Ana 
Published: September 2024

AbstractTracing requirements specification to design and implementation is an essential part of safety standards, as it allows to ensure that safety goals are met throughout the development process. Manual tracing numerous artifacts produced throughout the development process is error‐prone and takes much time. To address these problems, we proposed a tool (Bonner, M.; Zeller, M.; Schulz, G.; Beyer, D.; Olteanu, M., 2023), which allows to establish links between requirements and Model‐Based Systems Engineering (MBSE) in a semi‐automatic way. The underlying algorithms of our tool are embedding similarity computation and classification approaches based on Large Language Models (LLMs). To assess the performance of underlying algorithm we propose an evaluation, where we compare the recall, the precision, and the F2 score of different approaches applied to our datasets. The goal of our evaluation is to understand how well LLMs perform in automatically generating trace links on different datasets. Our evaluation shows that it is worth to invest time in preprocessing the data and fine‐tuning the LLMs to achieve the better recommendations for engineers, which improves the traceability process.
Impact of organized and opportunistic screening on excess mortality and on social inequalities in breast cancer survival
Authors: Poiseuil Marie , Molinié Florence , Dabakuyo‐Yonli Tienhan Sandrine , Laville Isabelle , Fauvernier Mathieu , Remontet Laurent , Amadeo Brice , Coureau Gaëlle 
Published: September 2024

AbstractIn most developed countries, both organized screening (OrgS) and opportunistic screening (OppS) coexist. The literature has extensively covered the impact of organized screening on women's survival after breast cancer. However, the impact of opportunistic screening has been less frequently described due to the challenge of identifying the target population. The aim of this study was to describe the net survival and excess mortality hazard (EMH) in each screening group (OrgS, OppS, or No screening) and to determine whether there is an identical social gradient in each groups. Three data sources (cancer registry, screening coordination centers, and National Health Data System [NHDS]) were used to identify the three screening groups. The European Deprivation Index (EDI) defined the level of deprivation. We modeled excess breast cancer mortality hazard and net survival using penalized flexible models. We observed a higher EMH for “No screening” women compared with the other two groups, regardless of level of deprivation and age at diagnosis. A social gradient appeared for each group at different follow‐up times and particularly between 2 and 3 years of follow‐up for “OrgS” and “OppS” women. Net survival was higher for “OrgS” women than “OppS” women, especially for the oldest women, and regardless of the deprivation level. This study provides new evidence of the impact of OrgS on net survival and excess mortality hazard after breast cancer, compared with opportunistic screening or no screening, and tends to show that OrgS attenuates the social gradient effect.
THF induces apoptosis by downregulating initiation, promotion, and progression phase biomarkers in skin and lung carcinoma
Authors: Raza Waseem , Meena Abha , Luqman Suaib 
Published: September 2024

Abstract3,5,7‐Trihydroxy‐2‐phenylchromen‐4‐one (THF) possesses a diverse range of pharmacological activities. Evidence suggests that THF exerts anticancer activity by distinct mechanisms of action. This study explores the anticancer potential of THF in human lung (A549) and skin (A431) cancer cells by employing different antiproliferative assays. 3‐(4,5‐Dimethylthiazol‐2‐yl)−2,5‐diphenyltetrazolium bromide, neutral red uptake, sulphorhodamine B, and cell motility assays were used to confirm the anticancer potential of THF. Cell target‐based and quantitative reverse transcription polymerase chain reaction (qRT‐PCR) assays were used to explore the effect of THF on the initiation, promotion and progression phase biomarkers of carcinogenesis. THF suppresses the activity of lipoxygenase‐5 up to ~40% in both A549 and A431 cells and up to ~50% hyaluronidase activity in A549 cells. qRT‐PCR assay reveals that THF inhibits the activity of phosphatidyl inositol‐3 kinase/protein kinase B/mammalian target of rapamycin in both cell lines, which is responsible for the initiation of cancer. It also arrests the G2/M phase of the cell cycle in A431 cells and increases the sub‐diploid population in both A549 and A431 cell lines which leads to cell death. Annexin V‐FITC assay confirmed that THF induces apoptosis and necrosis in A431 and A549 cell lines. Further investigation revealed that THF not only enhances reactive oxygen species production but also modulates mitochondrial membrane potential in both cell lines. It significantly inhibits S‐180 tumour formation at 5 and 10 mg/kg bw, i.p. dose. An acute skin toxicity study on mice showed that erythema and edema scores are within the acceptable range, besides acceptable drug‐likeness properties and non‐toxic effects on human erythrocytes. Conclusively, THF showed potent anticancer activity on skin and lung carcinoma cell lines, suppressed the level of the biomarkers and inhibited tumour growth in mice.
Circ_0004674 regulation of glycolysis and proliferation mechanism of osteosarcoma through miR‐140‐3p/TCF4 pathway
Authors: Ma Yulong , Du Shaowen , Wang Shengdong , Liu Xiang , Cong Liming , Shen Wenxiang , Ye Kaishan 
Published: September 2024

AbstractAs a subclass of noncoding RNAs, circular RNA play an important role in tumour development. The aim of this study was to investigate the role of circ_0004674 in osteosarcoma glycolysis and the molecular mechanism of its regulation. We examined the expression of circ_0004674, miR‐140‐3p, TCF4 and glycolysis‐related proteins (including HK2, PKM2, GLUT1 and LDHA) in osteosarcoma cells and tissues by quantitative reverse transcription‐polymerase chain reaction and immunoblotting (Western blot analysis). The role of circ_0004674, miR‐140‐3p and TCF4 in the proliferation, apoptosis, migration and invasion of OS cells was examined using CCK8 assay, Apoptosis assay, Wound healing assay, Transwell migration and Matrigel invasion assay. The interaction of circ_0004674/miR‐140‐3p and miR‐1543/TCF4 was also analysed using a dual luciferase reporter assay. Finally, the glycolytic process was assessed by glucose uptake assays and lactate production measurements. The results showed that the expression of circ_0004674 and TCF4 was significantly higher in MG63 and U2OS cells compared to hFOB1.19 cells, while the expression of miR‐140‐3p was downregulated. Silencing of circ_0004674 gene significantly inhibited the proliferation, migration and invasion of cancer cells and promoted apoptosis of cancer cells. Experiments such as dual luciferase reporter analysis showed that circ_0004674 regulates the expression of glycolysis‐related proteins through the miR‐140‐3p/TCF4 pathway, and inhibition of this gene attenuated the depletion of glucose content and the production of lactate in cancer cells. Furthermore, inhibition of miR‐140‐3p or overexpression of TCF could reverse the phenotypic changes in cancer cells induced by circ_0004674 silencing. In summary, this study elucidated the specific function and potential mechanisms of circ_0004674 in osteosarcoma glycolysis. The findings demonstrate that miR‐140‐3p and TCF4 function respectively as a tumor suppressor gene and an oncogene in osteosarcoma. Notably, they influence glycolysis and associated pathways, regulating osteosarcoma proliferation. Therefore, circ_0004674 promotes osteosarcoma glycolysis and proliferation through the miR‐140‐3p/TCF4 pathway, enhancing the malignant behaviour of tumours, and it is expected to be a potential molecular target for osteosarcoma treatment.
Sludge carbon promotes barium titanate piezoelectric property to activate persulfate degradation of enrofloxacin
Authors: Chen Jun , Li Xue , Yang Xiaohong , Wang Yutong , Zhan Zongsheng , Teng Dawei , Du Mingxia , Lv Dong , Yao Kaiqi , Da Chunnian , Xu Mengqiu 
Published: September 2024

AbstractBACKGROUNDPiezoelectric catalysis using perovskite‐type barium titanate (BaTiO3) has been applied to the decomposition of refractory organic pollutants through piezoelectric catalytic persulfate (PS). Nevertheless, challenges such as a limited specific surface area, poor electrical conductivity and a tendency towards agglomeration in BaTiO3 necessitate the exploration of novel methods to enhance its piezoelectric efficiency.RESULTSSludge carbon (SC) from sewage treatment and BaTiO3 was utilized to develop a novel piezoelectric catalytic material (BaTiO3/SC). The specific surface area of BaTiO3/SC reached 67.92 m2 g−1, which is nine times larger than that of BaTiO3 alone. The inclusion of SC in the composite enhanced the number of active sites and contributed to a higher degree of graphitization, improved electrical conductivity, and provided a more stable structure for BaTiO3/SC. This material was capable of harvesting mechanical vibration energy from ultrasound, thereby generating piezoelectric catalytic properties and activating PS to achieve a 93% decomposition ratio of enrofloxacin (ENR) in water within 80 min. The activation of PS by BaTiO3/SC piezocatalysis led to the production of reactive oxygen species (ROS), such as •OH and SO4−•. These ROS attack the quinolone ring of ENR, which is susceptible to cleavage, resulting in the decomposition of ENR into intermediates of lower toxicity.CONCLUSIONThe incorporation of SC has enhanced the piezoelectric performance of BaTiO3, rendering BaTiO3/SC a novel perovskite‐type piezoelectric catalytic material that improves piezoelectric efficiency. The BaTiO3/SC system, through its piezoelectric catalytic activation of PS, demonstrates potential for decomposition of refractory organic pollutants in water treatment. © 2024 Society of Chemical Industry (SCI).
Striking a balance between water use and environmental protection in an oasis—A case study of Ganzhou District, China
Authors: Lin Yaoben , Liu Yuanyuan , Wang Lei 
Published: September 2024

AbstractArid regions in Northwestern China, such as Ganzhou District, are crucial for agriculture but face challenges due to water scarcity. This study employs a coupling coordination model to analyse the environmental impact of agricultural water use in Ganzhou District and dissect the tension between agricultural development and ecological concerns. Despite an overall positive trend, the study reveals relatively poor coordination between water use and environmental protection, along with uneven spatial distribution. Examining the tension between agricultural expansion and its environmental repercussions, this study offers a reference for efforts to promote sustainable practices in agriculture and environmental management in oases.
Ganoderma lucidum spore powder after oil extraction alleviates microbiota dysbiosis to improve the intestinal barrier function in mice
Authors: Zhong Shun , Qi Yao Yao , Yuan Yuan , Lian Li , Deng Zeyuan , Pan Feng , Zhou Junfu , Wang Zhiyu , Li Hongyan 
Published: September 2024

AbstractBackgroundThere are few studies about the differences in the composition of moisture, ash, crude protein, crude fat, crude polysaccharide and ergothioneine in Ganoderma lucidum spore powder (GLSP) from different origins. As for GLSP after oil extraction (OE‐GLSP), there are still lots of bioactive substance in it. It can be seen that OE‐GLSP has certain biological activity. The effect of OE‐GLSP on the improvement of intestinal barrier function has been less studied.ResultsThe results showed that there were significant differences for GLSP from five different origins (Anhui, Jilin, Jiangxi, Shandong and Zhejiang) in moisture (0.065–0.113%), ash (0.603–0.955%), crude fat (42.444–44.773%), crude polysaccharide (2.977–4.127%), crude protein (14.761–17.639%) and ergothioneine (0.552–1.816 mg g−1) (P < 0.05). The monosaccharides of GLSP polysaccharide mainly consist of glucose, galactose, mannose, rhamnose, etc. Moreover, the effects of OE‐GLSP supplementation on the regulation of organ index, colonic tissue and intestinal microbiota in C57BL/6J mice were investigated. The supplement of OE‐GLSP could restore the organ index and weight loss of antibiotic‐treated mice. Moreover, OE‐GLSP led to the improvement of intestinal dysbiosis by enriching Bacteroidetes, Firmicutes, Lactobacillus and Roseburia, and increasing the Firmicutes/Bacteroidetes ratio. In addition, OE‐GLSP intervention repaired intestinal barrier dysfunction by increasing the expression of tight junction proteins (Occludin, Claudin‐1 and E‐cadherin).ConclusionDifferent GLSP from five origins exhibited significant differences in microstructure and contents of crude polysaccharide, crude protein, crude fat, water, ash and ergothioneine. Moreover, it was found that OE‐GLSP could improve the intestinal barrier function and induce potentially beneficial changes in intestinal flora. © 2024 Society of Chemical Industry.
Effects of vegetal protein hydrolysate application method, nitrogen level, and nitrate‐to‐ammonium ratio on growth and composition of hydroponic lettuce
Authors: Choi Seunghyun , Colla Giuseppe , Cardarelli Mariateresa , Kim Hye‐Ji 
Published: September 2024

AbstractBACKGROUNDVegetal‐derived protein hydrolysates (PHs) have been recognized as sustainable biostimulant products due to their beneficial effects on crops. However, most studies on PHs have been conducted at a fixed ratio of nitrate‐to‐ammonium (NO3−:NH4+) without considering other N application scenarios, leading to inconsistent results among the studies. This study compared the influences of N levels (2 or 10 mM N), NO3:NH4 ratios (100:0, 75:25, 50:50, or 25:75), and PH application methods – control, foliar spray (PH‐F) or root application (PH‐R) – on the yield, morphology, nutrients, and nutraceutical quality of hydroponic lettuce.RESULTSNitrogen level, NO3:NH4 ratio, and PH application affected plant growth, morphology, and quality significantly, highlighting the importance of the interactions among these factors. Shoot growth was influenced by NO3:NH4 ratios, PH, and their interactions. Similar trends were observed in chlorophyll content. The interactions among all three factors significantly influenced root growth and morphology. Root application (PH‐R) protected lettuce from yield loss caused by low NO3:NH4 ratios and from reduced antioxidant compounds caused by high N levels. Vegetal‐derived protein hydrolysates improved nutrient uptake through two‐way and three‐way interactions although neither PH nor any interactions affected nitrate concentrations.CONCLUSIONThis study demonstrated that PH interacts with N level and NO3:NH4 ratio, affecting hydroponic lettuce yield and quality. In particular, the root application of PH was the most effective method for enhancing yield (shoot fresh weight), quality (chlorophylls, carotenoids, flavonoids, and phenols), and nutrient uptake in hydroponically grown lettuce in relation to N form and level. © 2024 Society of Chemical Industry.