bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of ginseng on short‐chain fatty acids and intestinal microbiota in rats with spleen‐qi deficiency based on gas chromatography–mass spectrometry and 16s rRNA technology
Authors: Zhang Meiyu , Pi Yijun , Ma Liting , Li Fangtong , Luo Jing , Cai Yongyu , Wu Yongxi , Liu Ming , Dai Yulin , Zheng Fei , Yue Hao 
Published: September 2023

RationaleSpleen‐qi deficiency syndrome, a common weakness syndrome in traditional Chinese medicine, results from insufficient spleen‐qi levels. For centuries, ginseng has been relied upon as a traditional Chinese medicine to treat spleen‐qi deficiency syndrome. Until now, the mechanism feature of ginseng in treating temper deficiency through intestinal bacteria and short‐chain fatty acid (SCFA) metabolites has not been fully elucidated.MethodsThis study established a rat model of spleen‐qi deficiency via multi‐factor compound modeling that involved fatigue injury and a controlled diet. The content of SCFAs between different treatment groups was determined by gas chromatography–mass spectrometry. And the 16s rRNA sequencing technology was applied to reveal the effects of ginseng on the intestinal microecological environment of the rats.ResultsIt was found that the ginseng treatment group exhibited the most remarkable regulatory effect on propionic acid, surpassing all other administration groups. Ginseng increased the relative abundance of beneficial bacteria and decreased that of harmful bacteria at the genus level in rats with spleen‐qi deficiency syndrome. And propionic acid is significantly positively correlated with Lactobacillus level and significantly negatively correlated with uncultured_bacterium_f_Muribaculaceae (p < 0.05). n‐Butyric acid is negatively correlated with the Faecalibaculum level (p < 0.01). n‐Valeric acid is significantly negatively correlated with the Romboutsia level (p < 0.01).ConclusionThe mechanism of ginseng treatment for spleen‐qi deficiency is elucidated from the perspective of gut microbiota and its metabolite SCFAs. It provides a new way for further development and utilization of ginseng and a theoretical basis.
Regulating Phase Distribution of Dion–Jacobson Perovskite Colloidal Multiple Quantum Wells Toward Highly Stable Deep‐Blue Emission
Authors: He Haiyang , Xing Yifeng , Cui Zhongjie , Qin Shuaitao , Wen Zhuoqi , Yang Dan , Xie Haijiao , Mei Shiliang , Zhang Wanlu , Guo Ruiqian 
Published: September 2023

AbstractMetal halide perovskite colloidal quantum wells (CQWs) hold great promise for modern photonics and optoelectronics. However, current studies focus on Ruddlesden–Popper (R–P) phase perovskite CQWs that contain bilayers of monovalent long‐chain alkylamomoniums between the separated perovskite octahedra layers. The bilayers are packed back‐to‐back via weak van der Waals interaction, resulting in inferior charge carrier transport and easier decomposition of perovskite. This report first creates a new type of perovskite colloidal multiple QWs (CMQWs) in the form of Dion–Jacobson (D–J) structure by introducing an asymmetric diammonium cation. Furthermore, the phase distribution is optimized by the synergistic effect of valeric acid and zwitterionic lecithin, finally achieving pure deep‐blue emission at 435 nm with narrow full width at half maximum. The diammonium layer in D–J perovskite CMQWs features extremely short width of only ≈0.6 nm, thereby contributing to more effective charge carrier transport and higher stability. Through the continuous photoluminescence (PL) measurement and corresponding theoretical calculation, the higher stability of D–J perovskite CMQWs than that of R–P structural CMQWs is confirmed. This work reveals the inherent superior stability of D–J structural CMQWs, which opens a new direction for fabricating stable perovskite optoelectronics.
Asymptotic tail properties of Poisson mixture distributions
Authors: Valiquette Samuel , Toulemonde Gwladys , Peyhardi Jean , Marchand Éric , Mortier Frédéric 
Published: September 2023

SummaryCount data are omnipresent in many applied fields, often with overdispersion. With mixtures of Poisson distributions representing an elegant and appealing modelling strategy, we focus here on how the tail behaviour of the mixing distribution is related to the tail of the resulting Poisson mixture. We define five sets of mixing distributions, and we identify for each case whenever the Poisson mixture is in, close to or far from a domain of attraction of maxima. We also characterize how the Poisson mixture behaves similarly to a standard Poisson distribution when the mixing distribution has a finite support. Finally, we study, both analytically and numerically, how goodness‐of‐fit can be assessed with the inspection of tail behaviour.
Semantic‐aware two‐phase test case prioritization for continuous integration
Authors: Li Yingling , Wang Ziao , Wang Junjie , Chen Jie , Mou Rui , Li Guibing 
Published: September 2023

SummaryContinuous integration (CI) is a widely applied development practice to allow frequent integration of software changes, detecting early faults. However, extremely frequent builds consume amounts of time and resources in such a scenario. It is quite challenging for existing test case prioritization (TCP) to address this issue due to the time‐consuming information collection (e.g. test coverage) or inaccurately modelling code semantics to result in the unsatisfied prioritization. In this paper, we propose a semantic‐aware two‐phase TCP framework, named SatTCP, which combines the coarse‐grained filtering and fine‐grained prioritization to perform the precise TCP with low time costs for CI. It consists of three parts: (1) code representation, parsing the programme changes and test cases to obtain the code change and test case representations; (2) coarse‐grained filtering, conducting the preliminary ranking and filtering of test cases based on information retrieval; and (3) fine‐grained prioritization, training a pretrained Siamese language model based on the filtered test set to further sort the test cases via semantic similarity. We evaluate SatTCP on a large‐scale, real‐world dataset with cross‐project validation from fault detection efficiency and time costs and compare it with five baselines. The results show that SatTCP outperforms all baselines by 6.3%–45.6% for mean average percentage of fault detected per cost (APFDc), representing an obvious upward trend as the project scale increases. Meanwhile, SatTCP can reduce the real CI testing by 71.4%, outperforming the best baseline by 17.2% for time costs on average. Furthermore, we discuss the impact of different configurations, flaky tests and hybrid techniques on the performance of SatTCP, respectively.
Nano‐phototherapy: Favorable prospects for cancer treatment
Authors: Merlin J. P. Jose , Crous Anine , Abrahamse Heidi 
Published: September 2023

AbstractNanotechnology‐based phototherapies have drawn interest in the fight against cancer because of its noninvasiveness, high flexibility, and precision in terms of cancer targeting and drug delivery based on its surface properties and size. Phototherapy has made remarkable development in recent decades. Approaches to phototherapy, which utilize nanomaterials or nanotechnology have emerged to contribute to advances around nanotechnologies in medicine, particularly for cancers. A brief overviews of the development of photodynamic therapy as well as its mechanism in cancer treatment is provided. We emphasize the design of novel nanoparticles utilized in photodynamic therapy while summarizing the representative progress during the recent years. Finally, to forecast important future research in this area, we examine the viability and promise of photodynamic therapy systems based on nanoparticles in clinical anticancer treatment applications and briefly make mention of the elimination of all reactive metabolites pertaining to nano formulations inside living organisms providing insight into clinical mechanistic processes. Future developments and therapeutic prospects for photodynamic treatments are anticipated. Our viewpoints might encourage scientists to create more potent phototherapy‐based cancer therapeutic modalities.This article is categorized under:Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease
Modular Control and Services to Operate Lineless Mobile Assembly Systems
Authors: Kluge-Wilkes Aline , Baier Ralph , Kunze Ike , Müller Aleksandra , Shahidi Amir , Wolfschläger Dominik , Brecher Christian , Corves Burkhard , Hüsing Mathias , Nitsch Verena , Schmitt Robert H. , Wehrle Klaus 
Published: September 2023

AbstractThe increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different levels of LMAS, starting with the macroscopic level of formation planning, followed by the mesoscopic level of mobile robot control and multipurpose input devices and the microscopic level of services, such as interpreting autonomous decisions and in-network computing. We provide cross-level data and knowledge transfer through a novel ontology-based knowledge management. Overall, our work contributes to future safe and predictable human-robot collaboration in dynamic LMAS stations based on accurate online formation and motion planning of mobile robots, novel human-machine interfaces and networking technologies, as well as trustworthy AI-based decisions.
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead
Authors: Pennekamp Jan , Belova Anastasiia , Bergs Thomas , Bodenbenner Matthias , Bührig-Polaczek Andreas , Dahlmanns Markus , Kunze Ike , Kröger Moritz , Geisler Sandra , Henze Martin , Lütticke Daniel , Montavon Benjamin , Niemietz Philipp , Ortjohann Lucia , Rudack Maximilian , Schmitt Robert H. , Vroomen Uwe , Wehrle Klaus , Zeng Michael 
Published: September 2023

AbstractThe Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.
Actionable Artificial Intelligence for the Future of Production
Authors: Behery Mohamed , Brauner Philipp , Zhou Hans Aoyang , Uysal Merih Seran , Samsonov Vladimir , Bellgardt Martin , Brillowski Florian , Brockhoff Tobias , Ghahfarokhi Anahita Farhang , Gleim Lars , Gorissen Leon Michel , Grochowski Marco , Henn Thomas , Iacomini Elisa , Kaster Thomas , Koren István , Liebenberg Martin , Reinsch Leon , Tirpitz Liam , Trinh Minh , Posada-Moreno Andres Felipe , Liehner Luca , Schemmer Thomas , Vervier Luisa , Völker Marcus , Walderich Philipp , Zhang Song , Brecher Christian , Schmitt Robert H. , Decker Stefan , Gries Thomas , Häfner Constantin Leon , Herty Michael , Jarke Matthias , Kowalewski Stefan , Kuhlen Torsten W. , Schleifenbaum Johannes Henrich , Trimpe Sebastian , Aalst Wil M. P. van der , Ziefle Martina , Lakemeyer Gerhard 
Published: September 2023

AbstractThe Internet of Production (IoP) promises to be the answer to major challenges facing the Industrial Internet of Things (IIoT) and Industry 4.0. The lack of inter-company communication channels and standards, the need for heightened safety in Human Robot Collaboration (HRC) scenarios, and the opacity of data-driven decision support systems are only a few of the challenges we tackle in this chapter. We outline the communication and data exchange within the World Wide Lab (WWL) and autonomous agents that query the WWL which is built on the Digital Shadows (DS). We categorize our approaches into machine level, process level, and overarching principles. This chapter surveys the interdisciplinary work done in each category, presents different applications of the different approaches, and offers actionable items and guidelines for future work.The machine level handles the robots and machines used for production and their interactions with the human workers. It covers low-level robot control and optimization through gray-box models, task-specific motion planning, and optimization through reinforcement learning. In this level, we also examine quality assurance through nonintrusive real-time quality monitoring, defect recognition, and quality prediction. Work on this level also handles confidence, verification, and validation of re-configurable processes and reactive, modular, transparent process models. The process level handles the product life cycle, interoperability, and analysis and optimization of production processes, which is overall attained by analyzing process data and event logs to detect and eliminate bottlenecks and learn new process models. Moreover, this level presents a communication channel between human workers and processes by extracting and formalizing human knowledge into ontology and providing a decision support by reasoning over this information. Overarching principles present a toolbox of omnipresent approaches for data collection, analysis, augmentation, and management, as well as the visualization and explanation of black-box models.
Model-Based Controlling Approaches for Manufacturing Processes
Authors: Rüppel Adrian Karl , Ay Muzaffer , Biernat Benedikt , Kunze Ike , Landwehr Markus , Mann Samuel , Pennekamp Jan , Rabe Pascal , Sanders Mark P. , Scheurenberg Dominik , Schiller Sven , Xi Tiandong , Abel Dirk , Bergs Thomas , Brecher Christian , Reisgen Uwe , Schmitt Robert H. , Wehrle Klaus 
Published: September 2023

AbstractThe main objectives in production technology are quality assurance, cost reduction, and guaranteed process safety and stability. Digital shadows enable a more comprehensive understanding and monitoring of processes on shop floor level. Thus, process information becomes available between decision levels, and the aforementioned criteria regarding quality, cost, or safety can be included in control decisions for production processes. The contextual data for digital shadows typically arises from heterogeneous sources. At shop floor level, the proximity to the process requires usage of available data as well as domain knowledge. Data sources need to be selected, synchronized, and processed. Especially high-frequency data requires algorithms for intelligent distribution and efficient filtering of the main information using real-time devices and in-network computing. Real-time data is enriched by simulations, metadata from product planning, and information across the whole process chain. Well-established analytical and empirical models serve as the base for new hybrid, gray box approaches. These models are then applied to optimize production process control by maximizing the productivity under given quality and safety constraints. To store and reuse the developed models, ontologies are developed and a data lake infrastructure is utilized and constantly enlarged laying the basis for a World Wide Lab (WWL). Finally, closing the control loop requires efficient quality assessment, immediately after the process and directly on the machine. This chapter addresses works in a connected job shop to acquire data, identify and optimize models, and automate systems and their deployment in the Internet of Production (IoP).
Identification of lncRNA-miRNA-mRNA Networks in the Lenticular Nucleus Region of the Brain Contributes to Hepatolenticular Degeneration Pathogenesis and Therapy
Authors: Hao Wenjie , Yang Wenming , Yang Yue , Cheng Ting , Wei Taohua , Tang Lulu , Qian Nannan , Yang Yulong , Li Xiang , Jiang Hailin , Wang Meixia 
Published: September 2023

AbstractLong non-coding RNAs (lncRNAs) are a recently discovered group of non-coding RNAs that play a crucial role in the regulation of various human diseases, especially in the study of nervous system diseases which has garnered significant attention. However, there is limited knowledge on the identification and function of lncRNAs in hepatolenticular degeneration (HLD). The objective of this study was to identify novel lncRNAs and determine their involvement in the networks associated with HLD. We conducted a comprehensive analysis of RNA sequencing (RNA-seq) data, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and computational biology to identify novel lncRNAs and explore their potential mechanisms in HLD. We identified 212 differently expressed lncRNAs, with 98 upregulated and 114 downregulated. Additionally, 32 differently expressed mRNAs were found, with 15 upregulated and 17 downregulated. We obtained a total of 1131 pairs of co-expressed lncRNAs and mRNAs by Pearson correlation test and prediction and annotation of the lncRNA-targeted miRNA-mRNA network. The differential lncRNAs identified in this study were found to be involved in various biological functions and signaling pathways. These include translational initiation, motor learning, locomotors behavior, dioxygenase activity, integral component of postsynaptic membrane, neuroactive ligand-receptor interaction, nuclear factor-kappa B (NF-κB) signaling pathway, cholinergic synapse, sphingolipid signaling pathway, and Parkinson’s disease signaling pathway, as revealed by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Six lncRNAs, including XR_001782921.1 (P < 0.01), XR_ 001780581.1 (P < 0.01), ENSMUST_00000207119 (P < 0.01), XR_865512.2 (P < 0.01), TCONS_00005916 (P < 0.01), and TCONS_00020683 (P < 0.01), showed significant differences in expression levels between the model group and normal group by RT-qPCR. Among these, four lncRNAs (TCONS_00020683, XR_865512.2, XR_001780581.1, and ENSMUST00000207119) displayed a high degree of conservation. This study provides a unique perspective for the pathogenesis and therapy of HLD by constructing the lncRNA-miRNA-mRNA network. This insight provides a foundation for future exploration in this field.
Global Health Expertise in the Shadow of Hegemony
Authors: Kentikelenis Alexandros , Seabrooke Leonard , Sending Ole Jacob 
Published: September 2023

AbstractWhat enables actors to shape norms in global health governance? Scholarship on global health has highlighted the role of experts and expertise in operationalizing norms across a variety of issues. The degree of expert consensus or dissensus and the negotiation processes between expert communities—for example, in international organizations, NGOs or academia—are commonly identified as centrally important for explaining these processes. In this article, we posit that norm-making in global health governance occurs in the shadow of hegemony; a system of status and stratification that is centered on economic and security concerns and maintained by countries at the core of the world system. These countries—notably the USA and other major economies in the Global North—project their hegemonic position in the world system across areas of global organizing, including in global health. We explore the relationship between epistemic consensus and hegemonic interests as parameters that shape the outcome of norm-making processes. To pursue this argument, we examine this relationship in the context of the development of policy norms to counter non-communicable diseases in developing countries and to pursue the securitization of global health.
Space weather-related activities and projects on-going at INAF-Turin Observatory
Authors: Bemporad Alessandro , Fineschi Silvano , Abbo Lucia , Benna Carlo , Biondo Ruggero , Capobianco Gerardo , Carella Francesco , Cora Alberto , Frassati Federica , Giordano Silvio , Haudemand Hervé , Landini Federico , Loreggia Davide , Mancuso Salvatore , Mignone Andrea , Nicolini Gianalfredo , Pancrazzi Maurizio , Salvati Francesco , Susino Roberto , Telloni Daniele , Zangrilli Luca 
Published: September 2023

AbstractThe Solar Physics Group at the INAF-Turin Astrophysical Observatory (OATo) is actually involved in different Space Weather (SW) projects and missions. In particular, this Group is currently providing for the ESA SWESNET portal two new data analysis tools aimed at (1) the automated identification of magnetic flux ropes from the in situ data (CME magnetic effectiveness tool) and (2) the automated identification and arrival prediction of CMEs from remote sensing and in situ data (CME propagation and forecast tool). The Group is also developing numerical tools for future applications of interest for SW under the project SWELTO-Space WEather Laboratory in Turin Observatory. Moreover, the Group is participating in two SW missions, and in particular in Helianthus (research and development project on solar photonic propulsion for early SW warnings) and Selene (Solar Exploration by Lunar Eclipsing with Nanosatellites Experiment). In addition to this, the Group is leading or is involved in other “SW enabling science” projects, and in particular the Metis coronagraph on-board ESA Solar Orbiter mission, the ASPIICS coronagraph on-board ESA PROBA-3 mission, and the CorMag coronagraph on-board HEMERA stratospheric balloon. In this framework, the OATo Solar Physics Group is working on fundamental research on “SW enabling science”, dealing with the origin and acceleration of solar wind and Coronal Mass Ejections with remote-sensing data, and their interplanetary propagation and evolution with in situ data.
Die Rückkehr der Ringe: Sequenzierung extrachromosomaler zirkulärer DNAs
Authors: Mann Ludwig , Heitkam Tony 
Published: September 2023

AbstractDespite being known for decades, the interest in extrachromosomal circular DNAs (eccDNAs) with their distinctive ring-like structures has never been higher. With every day, we learn more about their role in biological processes, including aging and cancer, genome instability, and even, in plants, the development of herbicide resistances. But why is now the time to study eccDNAs? To follow up on this, we highlight recent approaches for enrichment, sequencing, and identification of eccDNAs.