bluuebunny/crossref_metadata_2025_split huggingface dataset:
A channel state information and geomagnetic fused fingerprint localisation algorithm based on multi‐input convolutional neural network
Authors: Cheng Zhenhao , Zhao Dongqing , Guo Wenzhuo , Li Linyang 
Published: February 2024

AbstractNumerous applications require indoor localisation, and one of the current research areas is how to leverage low‐cost ubiquitous signals for indoor localisation. This research designs a multi‐input convolutional neural network (Multi‐CNN) localisation approach to combine natural geomagnetic signals and universal 5G communication signals. To create the location fingerprint data, the geomagnetic three‐component data and channel state information (CSI) must first undergo independent preprocessing. Subsequently, the rebuilt CSI amplitude and geomagnetic intensity are employed for separate offline training to efficiently extract the corresponding data features. Lastly, Multi‐CNN is used to estimate the user's location online. The localisation outcomes for the conference room and hall demonstrate that the Multi‐CNN algorithm can achieve average localisation accuracies of 1.41 and 2.66 m, respectively. These are higher than the single‐input CNN algorithms by 21% and 15%, and higher than backpropagation network (BPNN) algorithm by 24% and 17%, and higher than the weighted K‐nearest neighbour algorithm by 34% and 28%. The Multi‐CNN‐based localisation approach successfully fuses the diverse data, potentially satisfying most indoor localisation applications.
Trachealtumoren
Authors: Eichhorn Florian , Hoffmann Hans , Rieken Stefan , Herth Felix J. F. , Winter Hauke 
Published: February 2024

ZusammenfassungPrimäre Trachealmalignome sind selten, die beiden häufigsten histologischen Subtypen sind das Plattenepithelkarzinom und das adenoidzystische Karzinom. Beide Tumorentitäten unterscheiden sich hinsichtlich des lokalen Wachstumsmusters und der Prognose. Den diagnostischen Standard bilden Bronchoskopie und radiologische Schnittbildgebung. Bei fehlender Fernmetastasierung und technischer Resektabilität ist die Operation die Therapie der Wahl. Auch im Falle einer inkompletten Resektion kann, insbesondere beim adenoidzystischen Karzinom, durch eine postoperative Radiotherapie ein zufriedenstellendes Langzeitergebnis erzielt werden. Im Kontext der palliativen Symptomlinderung hat neben der Strahlentherapie die interventionelle Bronchoskopie (Tumorabtragung, Stentimplantation) einen relevanten Stellenwert.
Gegenstände des Zorns …
Authors: Welsch Katja 
Published: February 2024

SummaryWenn die Linderung von Beschwerden ausbleibt, gilt es womöglich, in der Anamnese zu erforschen, ob ein Trauma vorliegt, das der Gesundung im Wege steht. Auf das Trauma bezogene homöopathische Mittel können bereits den gewünschten Behandlungserfolg bringen oder als Zwischenverordnung den Weg für Folgemittel klären, die den Symptomen entsprechen. Die Auswahl der verordneten Mittel berücksichtigt die Lebensphase, in der das Trauma entstanden ist, und wird durch das Studium der Arzneimittellehre untermauert.
Technische Aspekte und Neuerungen in der nicht-invasiven und invasiven Beatmung
Authors: Dellweg Dominic , Lepper Philipp M. 
Published: February 2024

Zusammenfassung
Nicht-invasive und invasive Beatmung sind für die Therapie bei akuter und chronischer respiratorischer Insuffizienz unerlässlich geworden. Mehr als ein Drittel der Patienten auf Intensivstationen wird invasiv beatmet, und auch in der außerklinischen Beatmung nimmt die Zahl beatmeter Patienten stetig zu. Während die Normalisierung der Blutgase in vergangenen Jahrzehnten als bedeutsamstes Ziel angesehen wurde und der Gedanke, dass mechanische Beatmung auch Gefahren birgt, kaum eine Rolle spielte, ist der dominierende Gedanke derzeit die Applikation von Beatmung unter möglichst protektiven Gesichtspunkten. Da eine grundlegende Änderung der Gerätetechnik schwierig sein dürfte, wird die Verbesserung protektiver Beatmung und eine Weiterentwicklung des Verständnisses der pathophysiologischen Vorgänge bei akutem und chronischem Lungenversagen auch in der Zukunft eine große Bedeutung haben. Der Artikel fasst unterschiedliche Aspekte der technischen Grundlagen der nicht-invasiven und invasiven Beatmung und deren praktische Umsetzung zusammen.
Ressourcen schonen und aufbauen
Authors: Helbing Michael 
Published: February 2024

SummaryDie Behandlung der ME/CFS ist herausfordernd: Die Erkrankung gilt derzeit als nicht heilbar. Kern therapeutischer Maßnahmen ist, die Symptome zu lindern und den Betroffenen mehr Lebensqualität zu ermöglichen. Es gilt, das Störungsbild zu erkennen und Strategien für den bewussten Umgang mit den Beschwerden aufzuzeigen. Betroffene werden in der Eigenwahrnehmung geschult und erlernen ein Energiemanagement, um eigene Belastungsgrenzen zu achten. Gezielte atemtherapeutische Übungen können in den Alltag Betroffener integriert werden, die Perfusion unterstützen und so zum Aufbau von Ressourcen beitragen.
Die Meerzwiebel (Drimia maritima)
Authors: Kübler Uta 
Published: February 2024

SummaryAn den steinigen, sandigen Küsten entlang des Mittelmeeres wächst eine Heilpflanze, die hierzulande in Vergessenheit geraten ist: die Meerzwiebel. Ihre besonderen Wirkstoffe werden zu den herzwirksamen Glykosiden gezählt und finden vor allem in Form von anthroposophischen und homöopathischen Standardpräparaten Anwendung.
Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors
Authors: Wang Qiang , Li Yuanfan , Li Rongrong 
Published: February 2024

AbstractResearch over the past three decades has provided rich empirical evidence for the inverted U-shaped EKC theory, but current problems facing advancing climate mitigation actions require us to re-examine the shape of global EKC rigorously. This paper examined the N-shaped EKC in a panel of 214 countries with 12 traditional and emerging variables, including institutions and risks, information and communication technology (ICT), artificial intelligence(AI), resource and energy use, and selected social factors. The two-dimensional Tapio decoupling model based on N-shaped EKC to group homogeneous countries is developed to explore the inter-group heterogeneous carbon emission effects of each variable. Global research results show that the linear and cubic terms of GDP per capita are significantly positive, while the quadratic term is significantly negative, regardless of whether additional variables are added. This means the robust existence of an N-shaped EKC. Geopolitical risk, ICT, and food security are confirmed to positively impact per capita carbon emissions, while the impact of composite risk, institutional quality, digital economy, energy transition, and population aging are significantly negative. The impact of AI, natural resource rents, trade openness, and income inequality are insignificant. The inflection points of the N-shaped EKC considering all additional variables are 45.08 and 73.44 thousand US dollars, respectively. Combining the turning points and the calculated decoupling coefficients, all countries are categorized into six groups based on the two-dimensional decoupling model. The subsequent group regression results show heterogeneity in the direction and magnitude of the carbon emission impacts of most variables. Finally, differentiated carbon emission reduction strategies for countries in six two-dimensional decoupling stages are proposed.
Instrument with an ultra-wide dynamic detection range for the optical counting and sizing of individual particles in suspensions
Authors: Hussels Martin , Lichtenfeld Heinz , Woehlecke Holger , Wollik Elia , Lerche Dietmar 
Published: February 2024

The characterization of dispersions, suspensions, and emulsions is important in a wide range of scientific applications and industries. Samples can consist of different materials and a wide range of particle sizes and concentrations. A single particle sizing and counting instrument with a dynamic detection range of ≥6 decades has been developed to detect single nano- and microparticles in aqueous suspensions based on light scattering measured in two directions. Hydrodynamic focusing is employed for particle separation and to provide stable conditions for light scattering detection. This gives the advantage of size resolution in the nm range, allowing, e.g., number based size distributions, classification of nanomaterials, determination of particle agglomerates, developments for dispersion stability analysis, or cutoff of filter media. In addition, concentration determination is based on sample volume measurement with &lt;20 nl measurement uncertainty. We present results of particle detection in a size range from approximately above 40 nm for gold nanoparticles to 8 μm for polystyrene particles using a prototyped instrument of the LUMiSpoc® series produced by LUM GmbH. The data obtained demonstrate the advantages of single-particle detection, particularly for characterizing polydisperse systems, such as precise particle sizing in the nanometer range through light scattering intensity based on Mie scattering theory. In addition, we present particle concentration data based on the integrated measurement of sample volume, which allows particle concentration to be determined with an uncertainty of 2.5% (95% confidence interval). To achieve such small uncertainties, dilution series measurements must be used to correct for coincidence losses and particle adhesion.
How supranational literary prizes shape translation flows
Authors: Janssens Eva 
Published: February 2024

Abstract
This article explores how literary prizing shapes translation flows by comparing bibliographic data on the
translations of prize-winning books. It focuses on two prizes in particular, the Booker Prize and the European Union Prize for
Literature (EUPL), both of which generate significant numbers of translations but for very different reasons. The article develops
the idea of ‘prizing logics’ to help explain these differences, singling out factors that appear to play a role: (1) the prize’s
translation policy (especially important for the EUPL) and (2) the prize’s prestige and focus on commercial success (particularly
relevant for the Booker). It shows that translations of EUPL winners are largely a result of state support, which is linked to the
prize’s aim of spreading European diversity and reinforcing unity through literature, while the Booker is more focused on literary
quality and stimulating commercial success, thereby leading to many translations of its winners.
L-Mn dielectronic recombination of cerium ions in a room-temperature EBIT
Authors: Biela-Nowaczyk W , Grilo F , Amaro P , Warczak A 
Published: February 2024

Abstract
We explore the dielectronic recombination structures at the electron beam ion trap at Jagiellonian University in Cracow, emited by cerium that is produced by the high-current cathode made of iridium and cerium. Small amounts of these elements evaporate from the cathode and form low-intensity admixtures within the electron-ion plasma in the EBIT. Their presence and specific ionic population can be observed by examining the spectral characteristics resulting from the DR process. Results have been compared with flexible atomic code calculations, working in unresolved transition array mode, providing identification of the charge states. Here we show that this mode provides quick calculations of very complex data with enough reliability for experimental comparison. These observations highlight which DR features and corresponding charge states that should be present in spectra obtained in EBITs with similar cathode specifications.
Remarkably enhancing dielectric permittivity and suppressing loss of PVDF via incorporating metal nanoparticles decorated glass fibers
Authors: Zhu Linwei , Yang Yujie , Li Yuchao , Shi Zhicheng , Bie Xiaohan , Yuan Yuan , Fan Runhua 
Published: February 2024

Abstract
Dielectrics with high permittivity and low dielectric loss have so far received considerable attention because of their wide applications in various electronic devices. However, the enhanced permittivity of dielectrics is always accompanied by an increase in loss. In this work, targeting at enhancing the permittivity of poly(vinylidene fluoride) (PVDF) without elevating loss, gold nanoparticles (Au NPs) decorated glass fibers (GF) are incorporated into the PVDF, forming a unique design of Au@GF/PVDF composites. The effects of gold nanoparticle content, calcination temperature, and hot-pressing pressure on the dielectric properties are studied. Interestingly, for the composite with gold sputtering time of 3 min, a remarkable dielectric enhancement of 430% (i.e. from 7.8 to 33.5 at 10 kHz) along with an obvious loss suppression of 56% (i.e. from 0.0353 to 0.0198) are concurrently achieved. It is believed that, the increase in permittivity is mainly attributed to the Maxwell–Wagner–Sillars effect of effective micro-capacitors and cluster polarization of gold nanoparticles while the suppressed loss is originated from the intrinsic low loss of GF and the Coulomb-blockade effect of gold nanoparticles. This work offers a promising strategy to simultaneously enhance the permittivity and suppress the loss of dielectric materials.
Parallel compensation of anisoplanatic aberrations in patterned photostimulation for two-photon optogenetics
Authors: Jin Cheng , Liu Chi , Kong Lingjie 
Published: February 2024

Abstract
Two-photon optogenetics becomes an indispensable technique in deciphering neural circuits recently, in which patterned photostimulation is generally adopted due to its low time delay and jitter, as well as its finely sculpting ability in space. However, optical aberrations in light propagation often deteriorates patterned photostimulation, leading to decreased intensity of patterns and thus reduced excitation efficiency. Considering anisoplanatic aberrations at different positions, only correcting aberrations at one position may aggravate aberrations at other positions. Here we propose a parallel aberration compensation based Gerchberg–Saxton (PAC-GS) algorithm for generating multiple holographic extended patterns with anisoplanatic aberrations compensated simultaneously. As an example, we demonstrate that PAC-GS is able to parallelly compensate anisoplanatic aberrations of multiple holographic patterns under gradient index (GRIN) lens, thus effectively improving the intensity of each pattern, promising for two-photon optogenetics in deep biological tissues with GRIN lens.
Magnetic field directed assembly of magnetic non-spherical microparticles
Authors: Piltaver Ivna Kavre , Vilfan Andrej , Kostevc Gregor , Kralj Slavko , Babič Dušan 
Published: February 2024

Abstract
This study reports on the fabrication and assembly of anisotropic microparticles as versatile building blocks for directed magnetic assemblies. Although spherical microparticles have received extensive attention, the assembly of non-spherical magnetic microparticles remains underexplored. Herein, we present a fabrication approach that utilizes photolithography and soft lithography to create prism-shaped magnetic microparticles. In order to investigate their assembly, a switching rotating magnetic field was employed. To support our experimental findings, a numerical model which takes into account the magnetic dipole moments induced by the field of other particles was developed. This model helps in understanding the forces and torques governing particle behavior during assembly. Simulations were conducted using the numerical model to complement our experimental findings. In the two particle experiments, attractive magnetic interactions led to various configurations depending on initial positions. For three particles, a tip-to-tip configuration suggested closed or stable ring-like structures. Our work highlights the feasibility of producing highly responsive, non-spherical magnetic microparticles and their potential for assemblies. The versatile fabrication method, coupled with the added degree of freedom conferred by prismatic shapes, opens promising avenues for applications in biology and material science.
Magnetization direction-controlled topological band structure in TlTiX (X = Si, Ge) monolayers
Authors: Huang Keer , Li Lei , Zhao Wu , Wang Xuewen 
Published: February 2024

Abstract
The quantum anomalous Hall (QAH) insulator is a vital material for the investigation of emerging topological quantum effects, but its extremely low working temperature limits experiments. Apart from the temperature challenge, effective regulation of the topological state of QAH insulators is another crucial concern. Here, by first-principles calculations, we find a family of stable two-dimensional materials TlTiX (X = Si, Ge) are large-gap QAH insulators. Their extremely robust ferromagnetic (FM) ground states are determined by both the direct- and super-exchange FM coupling. In the absence of spin–orbit coupling (SOC), there exist a spin-polarized crossing point located at each K and Kʹ points, respectively. The SOC effect results in the spontaneous breaking of C
2 symmetry and introduces a mass term, giving rise to a QAH state with sizable band gap. The tiny magnetocrystalline anisotropic energy (MAE) implies that an external magnetic field can be easily used to align magnetization deviating from z direction to the x–y plane, thereby leading to a transformation of the electronic state from the QAH state to the Weyl half semimetals state, which indicate monolayers TlTiX (X = Si, Ge) exhibit a giant magneto topological band effect. Finally, we examined the impact of stress on the band gap and MAE, which underlies the reasons for the giant magneto topological band effect attributed to the crystal field. These findings present novel prospects for the realization of large-gap QAH states with the characteristic of easily modifiable topological states.
A multi-source subdomain adaptation fault diagnosis method based on unidirectional movement of the target domain
Authors: Ma Tianyu , Li Zhipeng , Yang Dan , Tang Junjie , Liu Jinping 
Published: February 2024

Abstract
The traditional domain adaptation method for fault diagnosis of axial fans faces two main problems: (1) source domain moves to target domain makes the source feature distribution changed; (2) the narrow decision boundary of source domain features leads to misclassification of target samples. Therefore, a multi-source subdomain adaption fault diagnosis method based on unidirectional movement of the target domain is proposed. The method uses triplet-center loss to improve the discrimination of target domain samples, which reducing intra-class distance and increasing inter-class distance of source domain features; extracting the domain invariant feature of the target samples by asymmetric adversarial and improved subdomain feature distance measurement; the cosine similarity is used to align the classifiers’ outputs of different source domains; the mean value of all classifiers’ outputs are used as pseudo labels, and the pseudo labels are optimized by maximum entropy to improve their reliability. A large number of experiments show that this method has a significant effect on solving the problem of cross conditions fault diagnosis.
A clustering multi-stage training transfer learning framework for cross simulation domain and experimental domain fault diagnosis
Authors: Yu Shubo , Liu Zhansheng , Zhao Chen , Lv Dongfang 
Published: February 2024

Abstract
Deep learning methods have demonstrated remarkable achievements in the field of fault diagnosis for rotating machinery. However, their effectiveness heavily relies on high-quality labeled samples, which presents a significant challenge owing to the limited availability of such data in engineering applications. To address this realistic issue, we propose a novel simulation-driven transfer learning model called the clustering multi-stage training transfer learning framework (CMSTL) for fault diagnosis of rolling bearings. The fundamental concept of the proposed method is to utilize simulation data as a substitute for labeled actual device data and integrate the suggested clustering learning and multistage training strategies to extract domain-independent and fault-discriminative features from simulation and experimental domains. Specifically, the clustering learning strategy is embedded into the CMSTL model to encourage the feature extractor to acquire distinguishable features associated with different categories while eliminating domain-specific knowledge, which enables samples near the classification decision boundary to cluster towards their respective clustering centers. Additionally, the proposed multistage learning strategy leverages the model trained with a certain level of accuracy in the first stage to annotate actual device samples, thereby enhancing both the precision of the pseudo-label for real data and the overall training stability of the model. The effectiveness and superiority of the proposed method were validated using both artificially damaged and run-to-failure datasets. The comparative analysis results demonstrate that the CMSTL method exhibits a minimum 2.2% improvement in fault diagnosis accuracy and enhances the clustering capability compared to other advanced transfer learning fault diagnosis methods.
Isolation and identification of rolling bearing compound faults based on adaptive periodized singular spectrum analysis and Rényi entropy
Authors: Li Shengqiang , Yan Changfeng , Hou Yunfeng , Meng Jiadong , Wen Tao 
Published: February 2024

Abstract
Due to the coupling of multiple fault feature information and contamination of heavy background noise, it is a challenging task to accurately identify rolling bearing compound faults (RBCFs). A method for isolating and identifying the RBCF is proposed by integrating adaptive periodized singular spectrum analysis (APSSA) with Rényi entropy (RE). The adaptive selection of the embedding dimension of the Hankel matrix in APSSA without setting parameters empirically is proposed, and a selection criterion for singular values is established to preprocess the vibration signals of the rolling bearing and enhance the periodic component of the fault. An RE-based threshold value is introduced to further isolate and decouple the impulse segments of the vibration signal in the time domain. By considering the inner raceway fault, outer raceway fault, ball fault, and skidding, a comprehensive simulation model of the compound fault is constructed by the response mechanism of different excited resources. Simulated and experimental data are applied to validate the effectiveness and practicability of the proposed method. The results demonstrate that the RBCF can be identified correctly by the proposed method under strong background noise.
Construction of multi-features comprehensive indicator for machinery health state assessment
Authors: Ding Lansa , Wei Xiaoyi , Wang Dezheng , Chen Congyan 
Published: February 2024

Abstract
Health state assessment is critical for mechanical equipment’s smooth and healthy operation. This paper proposes a novel approach for health state assessment based on acoustic signals during the process of machinery running. It consists of multi-domain feature (MF) extraction and comprehensive health indicator (CHI) construction. MF is extracted from various acoustic features, including time and frequency (TF) features, mel-frequency cepstral coefficients, and gammatone frequency cepstral coefficients. The stacked long short-term memory (LSTM) is used to extract the high-level features of the MF, which are then input to the downstream PCA to obtain the LSTM-PCA health indicator (LP-HI). Parallelly, the MF is fed into the self-organizing mapping (SOM) model to calculate the minimum quantization error (MQE) as SOM-MQE health indicator (SM-HI). These two indicators are fused using weighted fusion and nonlinear mapping to calculate CHI. The experimental results on air compressor dataset show a 25.8% reduction in evaluation error compared with SOTA results in this paper. The proposed nonlinear mapping function furthermore reduces fitting error on HI by 38.9%. These demonstrate the effectiveness and superiority of the proposed method in machinery health state assessment.