bluuebunny/crossref_metadata_2025_split huggingface dataset:
Receptor for hyaluronan‐mediated motility (RHAMM) defines an invasive niche associated with tumor progression and predicts poor outcomes in breast cancer patients
Authors: Tarullo Sarah E , He Yuyu , Daughters Claire , Knutson Todd P , Henzler Christine M , Price Matthew A , Shanley Ryan , Witschen Patrice , Tolg Cornelia , Kaspar Rachael E , Hallstrom Caroline , Gittsovich Lyubov , Sulciner Megan L , Zhang Xihong , Forster Colleen L , Lange Carol A , Shats Oleg , Desler Michelle , Cowan Kenneth H , Yee Douglas , Schwertfeger Kathryn L , Turley Eva A , McCarthy James B , Nelson Andrew C 
Published: April 2023

AbstractBreast cancer invasion and metastasis result from a complex interplay between tumor cells and the tumor microenvironment (TME). Key oncogenic changes in the TME include aberrant synthesis, processing, and signaling of hyaluronan (HA). Hyaluronan‐mediated motility receptor (RHAMM, CD168; HMMR) is an HA receptor enabling tumor cells to sense and respond to this aberrant TME during breast cancer progression. Previous studies have associated RHAMM expression with breast tumor progression; however, cause and effect mechanisms are incompletely established. Focused gene expression analysis of an internal breast cancer patient cohort confirmed that increased RHAMM expression correlates with aggressive clinicopathological features. To probe mechanisms, we developed a novel 27‐gene RHAMM‐related signature (RRS) by intersecting differentially expressed genes in lymph node (LN)‐positive patient cases with the transcriptome of a RHAMM‐dependent model of cell transformation, which we validated in an independent cohort. We demonstrate that the RRS predicts for poor survival and is enriched for cell cycle and TME‐interaction pathways. Further analyses using CRISPR/Cas9‐generated RHAMM−/− breast cancer cells provided direct evidence that RHAMM promotes invasion in vitro and in vivo. Immunohistochemistry studies highlighted heterogeneous RHAMM protein expression, and spatial transcriptomics associated the RRS with RHAMM‐high microanatomic foci. We conclude that RHAMM upregulation leads to the formation of ‘invasive niches’, which are enriched in RRS‐related pathways that drive invasion and could be targeted to limit invasive progression and improve patient outcomes. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Do you like it or not? Identifying preference using an electroencephalogram during the viewing of short videos
Authors: Deng Yaling , Wang Ye , Xu Liming , Meng Xiangli , Wang Lingxiao 
Published: April 2023

AbstractAccurately predicting whether a short video will be liked by viewers is a topic of interest to media researchers. This study used an electroencephalogram (EEG) to record neural activity in 109 participants as they watched short videos (16 clips per person) to see which neural signals reflected viewers' preferences. The results showed that, compared with the short videos they disliked, individuals would experience positive emotions [indexed by a higher theta power, lower (beta – theta)/(beta + theta) score], more relaxed states (indexed by a lower beta power), lower levels of mental engagement and alertness [indexed by a lower beta/(alpha + theta) score], and devote more attention (indexed by lower alpha/theta) when watching short videos they liked. We further used artificial neural networks to classify the neural signals of different preferences induced by short videos. The classification accuracy was the highest when using data from bands over the whole brain, which was 75.78%. These results may indicate the potential of EEG measurement to evaluate the subjective preferences of individuals for short videos.
Design of input assignment and feedback gain for re‐stabilizing undirected networks with High‐Dimension Low‐Sample‐Size data
Authors: Yasukata Hitoshi , Shen Xun , Sasahara Hampei , Imura Jun‐ichi , Oku Makito , Aihara Kazuyuki 
Published: April 2023

AbstractThere exists a critical transition before dramatic deterioration of a complex dynamical system. Recently, a method to predict such shifts based on High‐Dimension Low‐Sample‐Size (HDLSS) data has been developed. Thus based on the prediction, it is important to make the system more stable by feedback control just before such critical transitions, which we call re‐stabilization. However, the re‐stabilization cannot be achieved by traditional stabilization methods such as pole placement method because the available HDLSS data is not enough to get a mathematical system model by system identification. In this article, a model‐free pole placement method for re‐stabilization is proposed to design the optimal input assignment and feedback gain for undirected network systems only with HDLSS data. The proposed method is validated by numerical simulations.
Observer‐based neural adaptive fixed‐time tracking control for multi‐input multi‐output nonlinear systems with actuator faults
Authors: Song Xiaona , Sun Peng , Ahn Choon Ki , Song Shuai 
Published: April 2023

SummaryThis study developed a new strategy for adaptive fixed‐time output feedback control of multi‐input multi‐output (MIMO) nonlinear systems involving unmeasurable external disturbances and actuator faults. Two actuator faults, loss of effectiveness and lock‐in‐place were simultaneously considered. Furthermore, a composite observer was used in MIMO systems to estimate unmeasurable states and external disturbances simultaneously, and radial basis function neural networks were employed to identify unknown internal nonlinearities. Additionally, the command‐filtered backstepping approach was applied to avoid tedious analytic calculations of the backstepping framework, and a compensation item was constructed to attenuate the filter error. A fault‐tolerant controller was developed to ensure that the overall states of the controlled system were practically fixed‐time bounded while the tracking error was regulated to the equilibrium region having a fixed‐time convergence ratio. Illustrative studies showed the validity and practicability of the proposed theory.
The logics and rhetoric of the announced shutdown of the Fessenheim nuclear power plant (France)
Authors: Fröhlig Florence 
Published: April 2023

AbstractThe closing of the aging nuclear power plant of Fessenheim was eventually concretized in June 2020 after many years of controversy, reflecting the sensibility of closing nuclear power plants in France, the world's second largest producer of nuclear power. This paper provides insight into how this highly policy vexed issue was discussed on the local level during 2017, a period when the decision regarding the shutdown was still at stake. Here, I examine the discursive strategies mobilized by key actors lobbying for the shutdown or maintenance of the nuclear power plant to enhance their argumentations. Using political discourse analyses combined with the logics approach, the article shows that the argumentation of proponents and advocates of a shutdown is structured around the same concept of sustainability. However, economic growth, social prosperity, and environmental “cautiousness” are not articulated with the same chain of equivalence and do not activate the same fantasmatic logics.
High‐performance HR practices, job demands and employee well‐being: The moderating role of managerial support
Authors: Yunus Suhaer , Whitfield Keith , Sayed Mostafa Ahmed Mohammed 
Published: April 2023

AbstractDrawing on the labour process theory and the job‐demands resources model, this study challenges the assumption of beneficial effects of high‐performance HR practices (HPHRP). The study argues that such practices lead to heightened work demands, which in turn compromise employees' well‐being. The study also argues that the negative consequences associated with HPHRP can be ameliorated when employees receive support from their managers. To test the study's moderated mediation model, multisource matched employer‐employee data from the Workplace Employment Relations Survey 2011 is used. Results of generalised multilevel structural equation modelling in STATA revealed that the relationship between HPHRP and well‐being (anxiety and depression) is mediated by Job demands (JD). Furthermore, the relationship between JD and both anxiety and depression is moderated by Managerial support (MS), such that when the level of MS is high, the positive relationship between HPHRP and both anxiety and depression via JD is weaker. Taken together, the findings of the study advance our understanding of why and when HPHRP may impair employees' well‐being.
Superhigh and Robust Ion Selectivity in Membranes Assembled with Monolayer Clay Nanosheets
Authors: Yu Xin , Qian Xitang , Wei Qinwei , Zhang Qing , Cheng Hui‐Ming , Ren Wencai 
Published: April 2023

AbstractIt is crucial to control the ion transport in membranes for various technological applications such as energy storage and conversion. The emerging functional two‐dimensional (2D) nanosheets such as graphene oxide and MXenes show great potential for constructing ordered nanochannels, but the assembled membranes suffer from low ion selectivity and stability. Here a class of robust charge‐selective membranes with superhigh cation/anion selectivity, which are assembled with monolayer nanosheets of cationic/anionic clays that inherently have permanent and uniform charges on each layer is reported. The transport number of cations/anions of cationic vermiculite nanosheet membranes (VNMs)/anionic Co‐Al layered double hydroxide (CoAl‐LDH) nanosheet membranes is over 0.90 in different NaCl concentration gradients, outperforming all the reported ion‐selective membranes. Importantly, this excellent ion selectivity can persist at high‐concentration salt solutions, under acidic and alkaline conditions, and for a wide range of ions of different sizes and charges. By coupling a pair of cation‐selective vermiculite membrane and anion‐selective CoAl‐LDH membrane, a reverse electrodialysis device which shows an output power density of 0.7 W m−2 and energy conversion efficiency of 45.5% is constructed. This work provides a new strategy to rationally design high‐performance ion‐selective membranes by using 2D nanosheets with inherent surface charges for controllable ion‐transport applications.
Ultrafast and Ultralarge Lithium‐Ion Storage Enabled by Fluorine‐Nitrogen Co‐Implanted Carbon Tubes
Authors: Hou Qing , Hu Ajuan , Ni Hongbin , Sun Zongqiang , Duan Jianing , Xu Xiaoming , Fan Jingmin , Yuan Ruming , Zheng Mingsen , Dong Quanfeng 
Published: April 2023

AbstractAs a holy grail in electrochemistry, both high‐power and high‐energy electrochemical energy storage system (EES) has always been a pursued dream. To simultaneously achieve the “both‐high” EES, a rational design of structure and composition for storage materials with characteristics of battery‐type and capacitor‐type storage is crucial. Herein, fluorine‐nitrogen co‐implanted carbon tubes (FNCT) have been designed, in which plentiful active sites and expanded interlayer space have been created benefiting from the heteroatom engineering and the fluorine‐nitrogen synergistic effect, thus the above two‐type storage mechanism can get an optimal balance in the FNCT. The implanted fluorine heteroatoms can not only amplify interlayer spacing, but also induce the transformation of nitrogen configuration from pyrrole nitrogen to pyridine nitrogen, further promoting the activity of the carbon matrix. The extraordinary electrochemical performance as results can be witnessed for FNCT, which exhibit fast lithium‐ion storage capability with a high energy density of 119.4 Wh kg−1 at an ultrahigh power density of 107.5 kW kg−1.
Thermally Managed, Injectable Optoelectronic Probe with Heat Dissipation Guide for Photodynamic Therapy
Authors: Lee Ju Seung , Choi Jiwoong , Park Gha Yeon , Kang Seung Ji , Yang Jae‐hun , Lee Youngkyu , Choi Myunghwan , Kim Kwangmeyung , Kim Tae‐il 
Published: April 2023

AbstractThe development of fabrication technologies and appearance of new materials has resulted in dramatic increase in the performance of electronic devices, while the overall size has decreased. Recent electronic devices made of micro/nano‐size components show high efficiency and outstanding performance with compact size, but these devices have revealed several fatal problems. In particular, the isolated heat that is generated by numerous components concentrated in a limited small area at high density, such as bio‐integrated devices, is an issue that needs to be urgently addressed, because it is closely related to the performance and lifetime of electronic devices. To solve these problems, the microscale light emitting diode (µLED)‐based neural probe is introduced on an injectable heat dissipation guide. The heat dissipation guide is made of boron nitride (BN) nanomaterials with high thermal conductivity. The heat management noticeably improves the optical output performance of the µLEDs, in which BN effectively dissipates heat, and allows enhanced lighting from the LEDs to be transmitted through brain tissue without thermal damage. Moreover, it shows remarkable improvement in the therapeutic effect of photodynamic therapy of mouse cancer cells.
Advances in Natural Polymer‐Based Transdermal Drug Delivery Systems for Tumor Therapy
Authors: Han Weiqiang , Liu Fengyu , Li Yuyao , Liu Guoxin , Li Hongjuan , Xu Yongqian , Sun Shiguo 
Published: April 2023

AbstractAs an alternative to traditional oral and intravenous injections with limited efficacy, transdermal drug delivery (TDD) has shown great promise in tumor treatment. Over the past decade, natural polymers have been designed into various nanocarriers due to their excellent biocompatibility, biodegradability, and easy availability, providing more options for TDD. In addition, surface functionalization modification of the rich functional groups of natural polymers, which in turn are developed into targeted and stimulus‐responsive functional materials, allows precise delivery of drugs to tumor sites and release of drugs in response to specific stimuli. It not only improves the treatment efficiency of tumor but also reduces the toxic and side effects to normal tissues. Therefore, the development of natural polymer‐based TDD (NPTDD) systems has great potential in tumor therapy. In this review, the mechanism of NPTDD systems such as penetration enhancers, nanoparticles, microneedles, hydrogels and nanofibers prepared from hyaluronic acid, chitosan, sodium alginate, cellulose, heparin and protein, and their applications in tumor therapy are overviewed. This review also outlines the future prospects and current challenges of NPTDD systems for local treatment tumors.
Development of Donor‐π‐Acceptor‐Type Fluorinated Tolanes as Compact Condensed Phase Luminophores and Applications in Photoluminescent Liquid‐Crystalline Molecules
Authors: Yamada Shigeyuki , Konno Tsutomu 
Published: April 2023

AbstractFluorinated tolanes, produced by introducing fluorine atoms into one of the aromatic rings of tolane, emitted almost no fluorescence in a solution state, but the fluorescence intensity increased dramatically in the crystalline state because of intermolecular H⋅⋅⋅F hydrogen bonds. The photoluminescent (PL) colors depend on the molecular orbitals, dipole moments, and molecular aggregated structures can be varied by controlling terminal substituents along the major molecular axis. The introduction of a long alkoxy or semifluoroalkoxy unit as a flexible chain into the terminal positions along the major molecular axis induced the formation of a liquid‐crystalline (LC) phase; fluorinated tolanes act both as luminophores and as mesogens, leading to the molecular design of new photoluminescent LC molecules (PLLCs). The results also indicated that a fluorinated tolane dimer, which consists of two fluorinated tolanes linked by a flexible alkylene spacer, also becomes a novel PLLC.
Constructivism on an award‐bearing in‐service English language teacher education programme in Oman
Authors: Wyatt Mark 
Published: April 2023

AbstractWhile constructivism is generally valued in second language teacher education (SLTE) as it is thought to lead to deeper learning opportunities than an approach based on transmission, there are relatively few analyses of award‐bearing in‐service SLTE courses examining where they lie on the transmissive–constructivist continuum. Such an analysis is conducted here, of a BA TESOL Programme for in‐service English language teachers in Oman. Under consideration is the extent to which criteria for constructivism, such as learner‐centred instruction, context‐appropriate materials, authentic assessment opportunities, opportunities for reflection, action research, and collaborative learning were features of the course. Findings highlight that the programme was more constructivist than transmissive, and became increasingly constructivist over time. Guiding principles that may be of interest to SLTE programme designers elsewhere seeking to embed constructivism in their courses are presented.
Thermal management system in electric vehicle batteries for environmental sustainability
Authors: Chidambaranathan Bibin , Rajendran Ashok Kumar , Vijaya Kumar Arun , Velayutham Bharath Kumar , Rajendran Arun Kumar , Mohan Akash , Subbaiyan Naveen , Sundaram Madhu 
Published: April 2023

AbstractDue to the extreme sensitivity of temperature in Li‐ion batteries, thermal management is a significant issue that must be addressed. Since the battery in electric vehicles produces an enormous amount of heat, it reduces its efficiency and its performance. Currently, there is a need for electric vehicles (EVs) because conventional IC engines produce an enormous amount of pollution which affects the environment, so an electric vehicle produces a very small amount of pollution. It is now being recommended and used by many people. But the electric vehicle faces some major problems due to overheating in their battery module. Nowadays, battery temperature is regulated by a system called battery thermal management system (BTMS). Modern EVs use active and passive cooling systems. Thermal management tries to improve battery architecture for greater autonomy or quick charging. To meet future difficulties in thermal management, such as air or liquid cooling, are needed. As a result of the battery's overheating, the vehicle's performance, power, energy storage, charging, and discharging are all negatively impacted; hence, a reliable thermal management system for the battery is essential for resolving these problems. This study provides an overview of the BTMS of the future, beginning with the problems involving temperature and safety. The following is a list of the benefits and drawbacks of BTMSs, which are used to maintain acceptable temperatures for battery packs. In conclusion, an analysis of the progress made in developing temperature management systems for future batteries is presented. As a first look at potential BTMSs for locomotive applications, it has been proposed to conduct a comprehensive analysis and classification of both existing and potential battery management systems.
Quantification of Uncertainties in Neural Networks
Authors: Wu Xinyang , Wagner Philipp , Huber Marco F. 
Published: April 2023

AbstractArtificial neural networks only compute point estimates and thus, do not provide the user with a proper decision space. In high-risk use cases, the confidence of the neural network is an important support for decision-making. Bayesian neural networks extend classical deep neural networks with a probability component and allow the user to assess the probability distribution over the prediction. Due to the large number of parameters to be learned, the calculation of the predictive probability can only be performed approximately in practice. In recent years, many methods have been developed to efficiently learn the parameter distributions for Bayesian neural networks. Each of these has different advantages and disadvantages, and thus can be used for different applications. Quantifying uncertainty in the context of neural networks allows the user to interpret the results more comprehensively as well as to assess the risk and therefore makes an important contribution to the user’s digital sovereignty.
Pikosekundenlaser in der Dermatologie
Authors: Nguyen Lynhda , Schneider Stefan W. , Herberger Katharina 
Published: April 2023

Zusammenfassung
Hintergrund
Der Pikosekundenlaser gehört zu den jüngsten in der Dermatologie genutzten Lasersystemen. Ursprünglich wurde er zur Optimierung von Tätowierungsentfernungen entwickelt, Fortschritte in dieser Technologie erweiterten das Indikationsspektrum des Pikosekundenlasers jedoch erheblich.

Ziel der Arbeit
Dieser Artikel gibt eine Übersicht über den technischen Hintergrund sowie die Indikationen des Pikosekundenlasers in der dermatologischen Lasermedizin und erläutert die Möglichkeiten und Grenzen dieses Lasersystems.

Material und Methoden
Grundlage dieses Beitrages sind systematische Literaturanalyse sowie Erfahrungen aus der klinischen Praxis in der universitären Laserambulanz.

Ergebnisse
Der Pikosekundenlaser ermöglicht durch Impulse im Pikosekundenbereich und den Wirkmechanismus des „laser-induced optical breakdown“ eine besonders schonende und effektive Behandlung. Im Vergleich zu den gütegeschalteten Lasern weist der Pikosekundenlaser weniger hitzeinduzierte Nebenwirkungen auf und geht mit einer geringeren Schmerzintensität sowie einer kürzeren Ausfallzeit einher. Insbesondere durch die fraktionierte nichtablative Anwendung haben sich zusätzliche Anwendungsgebiete ergeben, darunter die Hautverjüngung und Narbentherapie.

Schlussfolgerung
Der Pikosekundenlaser findet ein breites Anwendungsspektrum in der dermatologischen Lasermedizin. Die aktuelle Datenlage deutet darauf hin, dass der Laser eine effektive Methode mit einem geringen Nebenwirkungsprofil ist. Um die Wirksamkeit, Verträglichkeit und Patientenzufriedenheit evidenzbasiert beurteilen zu können, sind weitere prospektive Studien notwendig.
Simultaneous shape and topology optimization of wings
Authors: Høghøj Lukas C. , Conlan-Smith Cian , Sigmund Ole , Andreasen Casper Schousboe 
Published: April 2023

AbstractThis paper presents a method for simultaneous optimization of the outer shape and internal topology of aircraft wings, with the objective of minimizing drag subject to lift and compliance constraints for multiple load cases. The physics are evaluated by the means of a source-doublet panel method for the aerodynamic response and linear elastic finite elements for the structural response, which are one-way coupled. At each design iteration, a mapping procedure is applied to map the current wing shape and corresponding pressure loads to the unfitted finite element mesh covering the design domain. Wings of small fixed-wing airplanes both with and without a stiffening strut are optimized. The resulting wings show internal topologies with struts and wall-truss combinations, depending on the design freedom of the shape optimization. The lift distributions of the optimized wings show patterns like the ones obtained when performing optimization of wing shapes with constraints on the bending moment at the root.