bluuebunny/crossref_metadata_2025 huggingface dataset:
Verbreitung und Bedingungen von betrieblichen Maßnahmen zum Umgang mit Mobbing in Deutschland
Authors: Rauls J. , Buchallik F. , Zimmer A. , Kraft E. , Beck D.
Published: August 2024

Hintergrund

Mobbing im Betrieb stellt einen erheblichen Risikofaktor für die Gesundheit von betroffenen Beschäftigten dar. Durch das Arbeitsschutzgesetz ist der Arbeitgeber verpflichtet, Maßnahmen zur Gefährdungsvermeidung zu ergreifen. Wesentlich hierfür ist die Durchführung einer Gefährdungsbeurteilung. Im Beitrag wird untersucht, wie hoch der Anteil der Betriebe in Deutschland ist, die Verfahren zum Umgang mit möglichen Fällen von Mobbing ergriffen haben, und inwieweit hierfür die Umsetzung von Gefährdungsbeurteilungen prädiktiv ist.

Daten und Methoden

Die Analysen erfolgen auf Grundlage der Daten der deutschen Stichprobe des 2019 durchgeführten European Survey of Enterprises on New and Emerging Risks (ESENER‑3, n = 1234 Betriebe mit mind. 20 Beschäftigten). Neben deskriptiven Analysen werden logistische Regressionsanalysen zur Untersuchung der in Frage stehenden Zusammenhänge durchgeführt.

Ergebnisse

Verfahren für den Umgang mit Mobbing oder Belästigung sind in 38 % der Betriebe in Deutschland vorhanden; seltener in kleinen Betrieben (31 %) und überdurchschnittlich häufig in großen Unternehmen (69 %) sowie in Einrichtungen des Gesundheits- und Sozialwesens (54 %). Zwar sind Verfahren zum Umgang mit Mobbing in Betrieben, in denen Gefährdungsbeurteilungen vorliegen, häufiger vorhanden als in Betrieben, in denen dies nicht der Fall ist. Unter statistischer Kontrolle der Einflüsse von Betriebsgröße und Wirtschaftszweig sowie weiterer Aspekte der Arbeitsschutzorganisation zeigen sich diesbezüglich allerdings keine signifikanten Zusammenhänge. Dagegen ist die Chance für das Vorhandensein von Verfahren zum Umgang mit Mobbing signifikant erhöht in Betrieben, in denen ein Betriebs- bzw. Personalrat vorhanden ist (OR = 2,04 [KI 1,53–2,71]) und in denen Beratung durch einen Psychologen bzw. eine Psychologin in Anspruch genommen wird (OR = 3,38 [KI 2,47–4,63]).

Schlussfolgerung

Maßnahmen zur Vermeidung von Gefährdungen durch Mobbing am Arbeitsplatz fehlen vielerorts und scheinen bislang noch keine systematische Berücksichtigung in Gefährdungsbeurteilungen zu finden. Die Ergebnisse zeigen, dass ein Teil der Betriebe bereits Verfahren im Umgang mit Mobbing etabliert hat, aber noch weitergehende Anstrengungen nötig sind, um eine systematische Berücksichtigung von Mobbing im Arbeitsschutz zu gewährleisten.
Fresh Concrete Properties from Stereoscopic Image Sequences
Authors: Meyer Max , Langer Amadeus , Mehltretter Max , Beyer Dries , Coenen Max , Schack Tobias , Haist Michael , Heipke Christian
Published: August 2024

Increasing the degree of digitization and automation in concrete production can make a decisive contribution to reducing the associated $$\text{CO}_{2}$$

CO
2

emissions. This paper presents a method which predicts the properties of fresh concrete during the mixing process on the basis of stereoscopic image sequences of the moving concrete and mix design information or a variation of these. A Convolutional Neural Network (CNN) is used for the prediction, which receives the images supported by information about the mix design as input. In addition, the network receives temporal information in the form of the time difference between image acquisition and the point in time for which the concrete properties are to be predicted. During training, the times at which the reference values were captured are used for the latter. With this temporal information, the network implicitly learns the time-dependent behavior of the concrete properties. The network predicts the slump flow diameter, the yield stress and the plastic viscosity. The time-dependent prediction opens up the possibility of forecasting the temporal development of the fresh concrete properties during mixing. This is a significant advantage for the concrete industry, as countermeasures can then be taken in a timely manner, if the properties deviate from the desired ones. In various experiments it is shown that both the stereoscopic observations and the mix design information contain valuable information for the time-dependent prediction of the fresh concrete properties.
Empirical model for the effect of air humidity during manufacturing on the glass transition temperature of carbon fiber reinforced hot curing epoxy – a case study
Authors: Krolitzki Benjamin , Clausen Tim , Andresen Elisa , Boskovic Lazar
Published: August 2024

Carbon fiber-epoxy laminates are used in aerospace manufacturing, e.g. as substrates for solar cells of satellites. Commonly, fibers or fibermats are impregnated with epoxy resin and placed in the required orientation. During subsequent curing, the resin molecules are crosslinked. Cured parts are characterized by their glass transition temperature (Tg). It has been observed that Tg of epoxy matrix resin vary with recorded absolute air humidity during wet fiber placement manufacturing. Based on the production data of a series production of 203 carbon fiber laminates for space application, an empirical linear relationship between the absolute air humidity at the beginning of each production day and the observed glass transition temperature of the fully cured laminate is formulated and validated. The empirical equation describes a linear decrease of achievable glass transition temperature with increasing absolute air humidity. The quantitative nature of the results encourages straightforward practical application to determine the maximum achievable Tg for given production conditions.
The psycho-social impact of video games on K12 Spanish students
Authors: Vázquez-Cano Esteban , Quero-Gervilla Mercedes , Quicios-García María-Pilar , López-Meneses Eloy
Published: August 2024

This research aims to study the psycho-social impact of video games on K12 students. For this, a probabilistic topic modelling analysis method based on text mining approach has been performed. This process is based on nodes’ connectivity and it has been developed through K Means approach; by launching the Jenks-Breaks algorithm. The sex differences are calculated according to a nonlinear dynamics approach based on Hurst exponent and multifractal function and the influence of time with the application of the Sobel test. The results show which are the most used video games by K12 and their psycho-social impact on students based on four categories: (1) boredom and sadness, (2) happiness and socialization, (3) immersion, and (4) families' conflicts. There are significant differences between boys and girls depending on the games they use, a factor that increases when playing more than two hours a day. For boys, games like FIFA and Fortnite produce higher levels of immersion and family conflict, while for girls, games are perceived as sources of greater happiness and a means to reinforce friendship and camaraderie, particularly with games like Brawl Stars, Rocket League, and PKXD.
Reliability of Machine Learning in functional assessment in cardiac magnetic resonance imaging
Authors: Boccetti Danilo , Lamja Stefania , Palumbo Pierpaolo , Barile Antonio , Di Cesare Ernesto
Published: August 2024

Purpose

Our study aims at evaluating Machine Learning’s reliability to calculate ventricular volumes and functions in cardiac magnetic resonance imaging (CMR).

Material and methods

Eighty-five patients underwent CMR: forty healthy subjects, fifteen affected by myocarditis, seventeen dilated cardiomyopathy patients (DCM), and thirteen hypertrophic cardiomyopathy patients (HCM). Left ventricle (LV) and right ventricle (RV) analyses were performed both manually by operators and using Cvi42 software, which automates the identification of telesystolic and telediastolic phases. Statistical analysis assessed the concordance between measurements obtained manually and through the software, considering the following parameters: end-diastolic volume (EDV-BSA), end-systolic volume (ESV-BSA), stroke volume (SV), ejection fraction (EF), and detection of telesystolic and telediastolic phases.

Results

Intraclass correlation coefficient (ICC) analysis for LV volumes showed high concordance between manual and automatic measurements (ESV-BSA 0.97, EDV-BSA 0.98, SV 0.87, EF 0.93). ICC analysis for RV volumes presented high concordance between ESV-BSA and EDV-BSA measurements as well (ICC 0.90 and 0.91, respectively), whereas SV and EF measurements showed lower values (0.65 and 0.67, respectively). Statistical analysis also exhibited good concordance between manual and automated methods in the detection of telesystolic and telediastolic phases (ICC 0.80 and 0.84, respectively).

Conclusion

The LV and RV analyses conducted using the automated tool provide non-inferior performance to manual analyses, in particular for LV volumes.
Praxishandbuch Dementia Green Care
Authors: Chalfont Garuth E.
Published: August 2024

Das Dementia Green Care Praxishandbuch begründet und zeigt wie Auβenräume für Menschen mit dem Demenz gestaltet werden können, um deren Orientierung, Sinnerleben, Naturverbundenheit, Neugierde und Kognition zu fördern.

Neben der Klärung grundsätzlicher Begriffe wie Prosenz, Gartentherapie und Greencare zeigt der Leitfaden wie Außenräume aktiv und passiv genutzt sowie risikoarm und -frei gestaltet werden können. Zahlreichen Fotos, Gartenpläne und Checklisten veranschaulichen und erleichtern die Umsetzung einer naturgestützten Pflege von Menschen mit Demenz.

Der Leitfaden wird ergänzt um eine Galerie mit Zeichnungen des Autors rund um die Pflege und Begleitung von Menschen mit Demenz und ihren Angehörigen.

Aus dem Inhalt

Teil I - Das Dementia Green-Care-Projekt

Die Ziele der Dienstleistungsanbietenden
Therapeutische Demenzpflege: Definition
Umsetzung und Mitarbeitertraining
Anmerkungen zur Nutzung der Außenbereiche
Konzept und Forschungsprojekt (HIEC)

Teil II - Empfehlungen für die Gestaltung

Der Weg zur erfolgreichen Green Care-Demenzpflege
Risikofreie Gärten und Gärten mit potenziellen Risiken
Ausgewählte Gartenfotos
Galerie mit Zeichnungen des Autors.
Correction of thermal airflow distortion in warpage measurements of microelectronic packaging structures via deep learning-based digital image correlation
Authors: Gao Yuhan , Chen Yuxin , Yu Ziniu , Xiong Chuanguo , Lei Xin , Lv Weishan , Liu Sheng , Zhu Fulong
Published: August 2024

The projected speckle-based three-dimensional digital image correlation method (3D-DIC) is being increasingly used in the reliability measurement of microelectronic packaging structures because of its noninvasive nature, high precision, and low cost. However, during the measurement of the thermal reliability of packaging structures, the thermal airflow generated by heating introduces distortions in the images captured by the DIC measurement system, impacting the accuracy and reliability of noncontact measurements. To address this challenge, a thermal airflow distortion correction model based on the transformer attention mechanism is proposed specifically for the measurement of thermal warpage in microelectronic packaging structures. This model avoids the oversmoothing issue associated with convolutional neural networks and the lack of physical constraints in generative adversarial networks, ensuring the precision of grayscale gradient changes in speckle patterns and minimizing adverse effects on DIC calculation accuracy. By inputting the distorted images captured by the DIC measurement system into the network, corrected images are obtained for 3D-DIC calculations, thus allowing the thermal warpage measurement results of the sample to be acquired. Through experiments measuring topography with customized step block specimens, the effectiveness of the proposed method in improving warpage measurement accuracy is confirmed; this is particularly true when captured images are affected by thermal airflow at 140 °C and 160 °C, temperatures commonly encountered in thermal reliability testing of packaging structures. The method successfully reduces the standard deviation from 9.829 to 5.943 µm and from 12.318 to 6.418 µm, respectively. The results demonstrate the substantial practical value of this method for measuring thermal warpage in microelectronic packaging structures.
Genetic associations between non-cognitive skills and academic achievement over development
Authors: Malanchini Margherita , Allegrini Andrea G. , Nivard Michel G. , Biroli Pietro , Rimfeld Kaili , Cheesman Rosa , von Stumm Sophie , Demange Perline A. , van Bergen Elsje , Grotzinger Andrew D. , Raffington Laurel , De la Fuente Javier , Pingault Jean-Baptiste , Tucker-Drob Elliot M. , Harden K. Paige , Plomin Robert
Published: August 2024

Non-cognitive skills, such as motivation and self-regulation, are partly heritable and predict academic achievement beyond cognitive skills. However, how the relationship between non-cognitive skills and academic achievement changes over development is unclear. The current study examined how cognitive and non-cognitive skills are associated with academic achievement from ages 7 to 16 years in a sample of over 10,000 children from England and Wales. The results showed that the association between non-cognitive skills and academic achievement increased across development. Twin and polygenic scores analyses found that the links between non-cognitive genetics and academic achievement became stronger over the school years. The results from within-family analyses indicated that non-cognitive genetic effects on academic achievement could not simply be attributed to confounding by environmental differences between nuclear families, consistent with a possible role for evocative/active gene–environment correlations. By studying genetic associations through a developmental lens, we provide further insights into the role of non-cognitive skills in academic development.
Modeling routing problems in QUBO with application to ride-hailing
Authors: Cattelan Michele , Yarkoni Sheir
Published: August 2024

Many emerging commercial services are based on the sharing or pooling of resources for common use with the aim of reducing costs. Businesses such as delivery-, mobility-, or transport-as-a-service have become standard in many parts of the world, fulfilling on-demand requests for customers in live settings. However, it is known that many of these problems are NP-hard, and therefore both modeling and solving them accurately is a challenge. Here we focus on one such routing problem, the Ride Pooling Problem (RPP), where multiple customers can request on-demand pickups and drop-offs from shared vehicles within a fleet. The combinatorial optimization task is to optimally pool customer requests using the limited set of vehicles, akin to a small-scale flexible bus route. In this work, we propose a quadratic unconstrained binary optimization (QUBO) program and introduce efficient formulation methods for the RPP to be solved using metaheuristics, and specifically emerging quantum optimization algorithms.
A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET)
Authors: Khoshouei Mehrbod , Bagherpour Raheb , Yari Mojtaba
Published: August 2024

Monitoring while drilling (MWD) is a crucial task in mining operations. Accurately measuring drill and rock-related operating parameters can significantly reduce the cost of drilling operations. This study explores the potential of monitoring drilling specific energy (SE) and optimizing drilling operations by processing vibroacoustic signals generated while drilling. For this purpose, 30 samples of different rocks, are used for drilling tests. During the drilling process, the acoustic and vibration signals are recorded and analyzed in the time, frequency, and time–frequency domains., and parameters related to the resulting spectra are extracted. After obtaining the vibroacoustic parameters for drilling, the relationship between them and the drilling SE was investigated. There is evidence that the progression of SE contributes to the magnitude of rock drilling vibroacoustic features, which could be employed to indicate energy conditions during drilling. Results obtained in this study have the potential to be used as the basis for an industrial monitoring system that can detect excessive energy consumption and advise the user of the end of the bit's useful life. This method can be an intelligent technique for measuring the behavior of real-time drilling operations based on the SE simply by installing vibroacoustic sensors on the drilling machines.
The larval chondrocranium and its development in Smilisca phaeota with considerations of patterns characteristic for the chondrocranial development of Lalagobatrachia
Authors: Ziermann-Canabarro Janine M. , Lukas Paul
Published: August 2024

Several studies describe the development of the chondrocranium of vertebrates. The details in these studies vary a lot, which makes it hard to compare developmental patterns and identify evolutionary trends. Therefore, we aim to close this gap for anurans, which is the largest order of amphibians. We present here a detailed description of the chondrocranium morphology and development of Smilisca phaeota, the New Granada cross-banded tree frog. The anatomy was described for the larvae at or older than Gossner stage 31 and before ossification starts. Following this, we describe the development of the chondrocranium from Gossner stages 19–26. Early in Gossner stage 19 no precursors of any cartilages are visible, while later in that stage the mesodermal Anlage of Meckel’s cartilage was observed. In the subsequent stages more and more mesodermal anlagen become identifiable, followed by chondrification, and final differentiation of the cartilage elements. We used serial sections to study all the developmental stages and additionally utilized cleared and stained specimens and CT scan data. The latter were also used for the 3D reconstruction of the chondrocranium. We previously studied several species and compared these developmental patterns with S. phaeota, revealing potentially characteristic patterns significant for Lalagobatrachia, a clade that includes over 7000 frog species. These include (1) the suprarostral alae develop before the suprarostral corpus, (2) the infrarostral cartilage chondrifies late, after the chondrification of ceratobranchial 1, and (3) the ceratohyal body is the first element to show chondrocytes and to chondrify. However, with only six species studied so far, our data only provide a basis for future studies and developing hypotheses about the ancestral developmental pattern in anurans.
Digital twins in dermatology, current status, and the road ahead
Authors: Akbarialiabad Hossein , Pasdar Amirmohammad , Murrell Dédée F.
Published: August 2024

Digital twins, innovative virtual models synthesizing real-time biological, environmental, and lifestyle data, herald a new era in personalized medicine, particularly dermatology. These models, integrating medical-purpose Internet of Things (IoT) devices, deep and digital phenotyping, and advanced artificial intelligence (AI), offer unprecedented precision in simulating real-world physical conditions and health outcomes. Originating in aerospace and manufacturing for system behavior prediction, their application in healthcare signifies a paradigm shift towards patient-specific care pathways. In dermatology, digital twins promise enhanced diagnostic accuracy, optimized treatment plans, and improved patient monitoring by accommodating the unique complexities of skin conditions. However, a comprehensive review across PubMed, Embase, Web of Science, Cochrane, and Scopus until February 5th, 2024, underscores a significant research gap; no direct studies on digital twins’ application in dermatology is identified. This gap signals challenges, including the intricate nature of skin diseases, ethical and privacy concerns, and the necessity for specialized algorithms. Overcoming these barriers through interdisciplinary efforts and focused research is essential for realizing digital twins’ potential in dermatology. This study advocates for a proactive exploration of digital twins, emphasizing the need for a tailored approach to dermatological care that is as personalized as the patients themselves.
Moiré superlattices of antimonene on a Bi(111) substrate with van Hove singularity and Rashba-type spin polarization
Authors: Nakamura Tomonori , Chen Yitao , Nemoto Ryohei , Qian Wenxuan , Fukushima Yuto , Kawaguchi Kaishu , Mori Ryo , Kondo Takeshi , Yamaji Youhei , Tsuda Shunsuke , Yaji Koichiro , Uchihashi Takashi
Published: August 2024

Moiré superlattices consisting of two-dimensional materials have attracted immense attention because of emergent phenomena such as flat band-induced Mott insulating states and unconventional superconductivity. However, the effects of spin-orbit coupling on these materials have not yet been fully explored. Here, we show that single- and double-bilayer antimony honeycomb lattices, referred to as antimonene, form moiré superlattices on a Bi(111) substrate due to lattice mismatch. Scanning tunnelling microscopy (STM) measurements reveal the presence of spectral peaks near the Fermi level, which are spatially modulated with the moiré period. Angle-resolved photoemission spectroscopy (ARPES) combined with density functional theory calculations clarify the surface band structure with saddle points near the Fermi level, which allows us to attribute the observed STM spectral peaks to the van Hove singularity. Moreover, spin-resolved ARPES measurements reveal that the observed surface states are Rashba-type spin-polarized. The present work has significant implications in that Fermi surface instability and symmetry breaking may emerge at low temperatures, where the spin degree of freedom and electron correlation also play important roles.
Dinuclear tricarbonylrhenium(i) complexes: impact of regioisomerism on the photoluminescence properties
Authors: Le Garrec Stéphen , Martins-Bessa David , Wolff Mariusz , Delavaux-Nicot Béatrice , Mallet-Ladeira Sonia , Serpentini Charles-Louis , Benoist Eric , Bedos-Belval Florence , Fery-Forgues Suzanne
Published: August 2024

Mechanoresponsive luminescence (MRL) is the prerogative of dinuclear complexes. Regioisomerism strongly influences the photoluminescence efficiency, the amplitude of the MRL effect, and the aggregation-induced emission (AIE) properties.
Photochemical direct alkylation of heteroarenes with alkanes, alcohols, amides, and ethers
Authors: Mantry Lusina , Gandeepan Parthasarathy
Published: August 2024

Visible-light mediated alkylation of heteroarenes with simple alkanes via C(sp2)–H/C(sp3)–H bond cleavages is reported.
An organic photoelectrochemical transistor based on the Fe-MOF@PANI/carbon fiber for uric acid detection
Authors: Wang Yuedan , Tao Yang , Hao Panpan , Li Changhui , Li Mufang , Tan Yan , Wang Dong
Published: August 2024

The Fe-MOF@PANI/ carbon fiber gate material was prepared by solvothermal method and assembled into organic photophotochemical transistor (OPECT).
High-efficiency solution-processed triplet–triplet annihilation organic light-emitting diodes using oligocarbazole- and benzonitrile-modified polyaromatic blue fluorescent emitters
Authors: Malatong Ruttapol , Loythaworn Thidarat , Arunlimsawat Suangsiri , Chasing Pongsakorn , Therdkatanyuphong Pattarawadee , Waengdongbung Wijitra , Sudyoadsuk Taweesak , Promarak Vinich
Published: August 2024

Here, we report solution-processed non-doped triplet–triplet annihilation (TTA) organic light-emitting diodes (OLEDs).
Source‐load cooperative frequency regulation based on virtual synchronous/asynchronous machine concept
Authors: Sun Qiuye , Hu Jie , Wang Rui , Zhang Huaguang
Published: August 2024

Due to the absence of inertia, the high proportion of electronic power equipment is a great threat to the stability of the power system. Previous studies have proposed the virtual synchronous machine (VSM) control method for the inverter‐based distributed generators (DG). However, due to the capacity limitations of DG, the capability of the inverter to provide the inertia action is limited. At the same time, some controllable loads also have the ability to provide inertial support but are still not fully utilised. To get a better grid frequency response, this paper proposes a source‐load coordination strategy based on the VSM and virtual asynchronous machine (VAM) concept. For that purpose, a detailed VAM model is firstly derived for the rectifier on power demand side. Not only the virtual inertia and frequency oscillation damping can be provided, but also the synchronisation units are not needed to obtain the unknown grid frequency. After that, a distributed consensus‐based secondary control is present to regulate the frequency to converge to a reference value based on VSM and VAM. Compared with the existing frequency regulation method, the proposed scheme makes full use of the ability of the load side to participate in frequency modulation. Finally, some numerical simulations are performed to validate the feasibility of the proposed method on MATLAB/Simulink.
Numerical simulations of temperature anisotropy instabilities stimulated by suprathermal protons
Authors: Shaaban S. M. , López R. A. , Lazar M. , Poedts S.
Published: August 2024

Context. The new in situ measurements of the Solar Orbiter mission contribute to the knowledge of the suprathermal populations in the solar wind, especially of ions and protons whose characterization, although still in the early phase, seems to suggest a major involvement in the interaction with plasma wave fluctuations.

Aims. Recent studies point to the stimulating effect of suprathermal populations on temperature anisotropy instabilities in the case of electrons already being demonstrated in theory and numerical simulations. Here, we investigate anisotropic protons, addressing the electromagnetic ion-cyclotron (EMIC) and the proton firehose (PFH) instabilities.

Methods. Suprathermal populations enhance the high-energy tails of the Kappa velocity (or energy) distributions measured in situ, enabling characterization by contrasting to the quasi-thermal population in the low-energy (bi-)Maxwellian core. We use hybrid simulations to investigate the two instabilities (with ions or protons as particles and electrons as fluid) for various configurations relevant to the solar wind and terrestrial magnetosphere.

Results. The new simulation results confirm the linear theory and its predictions. In the presence of suprathermal protons, the wave fluctuations reach increased energy density levels for both instabilities and cause faster and/or deeper relaxation of temperature anisotropy. The magnitude of suprathermal effects also depends on each instability’s specific (initial) parametric regimes.

Conclusions. These results further strengthen the belief that wave-particle interactions govern space plasmas. These provide valuable clues for understanding their dynamics, particularly the involvement of suprathermal particles behind the quasi-stationary non-equilibrium states reported by in situ observations.
Evidence for magnetic boundary layer accretion in RU Lup
Authors: Armeni A. , Stelzer B. , Frasca A. , Manara C. F. , Walter F. M. , Alcalá J. M. , Schneider P. C. , Sicilia-Aguilar A. , Campbell-White J. , Fiorellino E. , Gameiro J. F. , Gangi M.
Published: August 2024

Context. It is well established that classical T Tauri stars accrete material from a circumstellar disk through magnetic fields. However, the physics regulating the processes in the inner (0.1 AU) disk is still not well understood.

Aims. Our aim is to characterize the accretion process of the classical T Tauri Star RU Lup.

Methods. Optical high-resolution spectroscopic observations with CHIRON and ESPRESSO were obtained simultaneously with photometric data from AAVSO and TESS.

Results. We detected a periodic modulation in the narrow component of the He I 5876 line with a period that is compatible with the stellar rotation period, indicating the presence of a compact region on the stellar surface that we identified as the footprint of the accretion shock. We show that this region is responsible for the veiling spectrum, which is made up of a continuum component plus narrow line emission that fills in the photospheric lines. An analysis of the high-cadence TESS light curve reveals quasi-periodic oscillations on timescales shorter than the stellar rotation period, suggesting that the accretion disk in RU Lup extends inward of the corotation radius, with a truncation radius at ~2 R*. This is compatible with predictions from three-dimensional magnetohydrodynamic models of accretion through a magnetic boundary layer (MBL). In this scenario, the photometric variability of RU Lup is produced by a nonsta-tionary hot spot on the stellar surface that rotates with the Keplerian period at the truncation radius. We also qualitatively discuss how more complex hot spot shapes may generate the same variability pattern. The analysis of the broad components of selected emission lines reveals the existence of a non-axisymmetric, temperature-stratified flow around the star, in which the gas leaves the accretion disk at the truncation radius and accretes onto the star channeled by the magnetic field lines. The unusually rich metallic emission line spectrum of RU Lup might be characteristic of the MBL regime of accretion.

Conclusions. Our extensive multiwavelength database of RU Lup reveals many similarities to predictions from the scenario of accretion through a magnetic boundary layer. Alternative explanations would require the existence of a hot spot with a complex shape, perhaps made of two brighter knots, or a warped structure in the inner disk.
Research on the factors affecting the cognition of new energy vehicles by Chinese consumers
Authors: Feng Jingyuan
Published: August 2024

China has become the world's largest producer and consumer of new energy vehicles. In 2023, the production and sales of new energy vehicles in China reached 9.587 million and 9.495 million units, respectively, with a market share of 31.6%. Exports amounted to 1.203 million vehicles, marking a year-on-year increase of 77.2%, all of which are record highs. Globally, China's production and sales volume of new energy vehicles has been the highest for nine consecutive years, accounting for 65% of the global market in 2023. With the development of the electric vehicle industry, the Chinese electric vehicle market is gradually expanding. As competition in the market becomes more intense, consumers need to consider more factors to make rational choices. Many manufacturers find it increasingly difficult to produce products that are sufficiently attractive, due to an incomplete understanding of consumer needs. This study explores the latest trends of Chinese consumers in the electric vehicle market, as well as their general consumption and attitudes towards electric vehicles, through a questionnaire survey. The results of this study can serve as a reference for manufacturers to make more reasonable product development plans and produce products that meet consumer needs.
Predict stock price fluctuations using Realized Volatility, CEEMDAN, LSTM models
Authors: Zhou Mingrui
Published: August 2024

In today’s rapidly evolving financial markets, the fluctuation of stock prices has a significant impact on the decision-making of investors. To better understand and predict these price movements, this paper proposes an integrated approach aimed at enhancing the accuracy of predictions. Initially, this paper analyzes the characteristics of price fluctuations in the U.S. stock market and discusses their influence on investor decision-making. Building on this foundation, a new forecasting model is introduced in this paper, which combines various advanced time series analysis techniques, including Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), Long Short-Term Memory networks (LSTM), Autoregressive (AR), and High-Order Autoregressive (HAR) models. By comparing the performance of these models under different market conditions, this paper aims to assess their effectiveness and reliability in predicting stock prices. The research results indicate that the combination of these models can significantly improve the accuracy of predictions, providing investors with a more reliable decision-making tool. Furthermore, this paper also explores the applicability and limitations of these models under various market conditions, offering valuable insights for future research and practice.
Klinische Ergebnisse nach endoskopischer Facettengelenkdenervation bei Patienten mit chronischen Kreuzschmerzen
Authors: Lenz Maximilian , Egenolf Philipp , Menzhausen Johanna , Heck Vincent , Perera Akanksha , Eysel Peer , Scheyerer Max , Oikonomidis Stavros
Published: August 2024

In mehreren Studien wurde berichtet, dass Kreuzschmerzen in der Bevölkerung mit bis zu 85% eine hohe Prävalenz aufweisen. Die perkutane Radiofrequenz-Facettengelenkdenervation (PRFD) ist heute der Goldstandard bei der Rhizotomie von chronischen Kreuzschmerzen (CLBP). Bisher veröffentlichte Studien zeigen jedoch kontroverse Ergebnisse über die Wirksamkeit der PRFD. Ziel dieser Studie war es daher, den Einsatz der endoskopischen Facettengelenkdenervation (EJE) zur Behandlung chronischer Kreuzschmerzen zu analysieren und potenzielle Risikofaktoren zu ermitteln, die die Indikationen für den Eingriff einschränken könnten.

Wir haben retrospektiv 31 Patienten in die Studie eingeschlossen, die seit mindestens 24 Monaten an chronische Kreuzschmerzen leiden. Alle Patienten wurden einer endoskopischen Facettengelenkdenervation unterzogen und mussten postoperativ ODI-, COMI-, EQ-5D- und VRS-Scores ausfüllen, wobei die Nachbeobachtungszeit mindestens 12 Monate betrug. Zur Analyse der Korrelationen wurden grundlegende Patientendaten erfasst.

Bei allen gemessenen klinischen Werten, wie ODI, COMI, EQ-5D und VRS, wurde eine signifikante Verbesserung festgestellt. Während das beste Ergebnis bei der 3-monatigen Nachuntersuchung erzielt wurde, wurde bei der 12-monatigen Nachuntersuchung eine leichte Verschlechterung festgestellt. Im Vergleich zu den präoperativen Scores wurde jedoch ein signifikanter Nutzen festgestellt. 28/31 Patienten (93,3%) berichteten bei der Nachuntersuchung nach 12 Monaten über geringere Schmerzen und waren mit dem Verfahren zufrieden. Älteres Alter und psychiatrische Vorerkrankungen wurden als potenzielle Risikofaktoren identifiziert, die mit einem schlechteren Ergebnis einhergehen. Postoperative Komplikationen wie Hämatome, eine Sensibilitätsstörung und eine vorübergehende Muskelschwäche der unteren Extremitäten wurden selten beobachtet.

Die endoskopische Facettengelenkdenervation zeigte eine signifikante Verbesserung der klinischen Ergebnisse und der VRS im Vergleich zu den präoperativen Werten von Patienten mit einer mindestens 12 Monate bestehenden chronischen Kreuzschmerzen vor der Operation. Ältere Patienten und Patienten mit psychiatrischen Vorerkrankungen profitieren weniger von dem Eingriff.
True Aneurysm of Superficial Temporal Artery Presenting as Subcutaneous Scalp Swelling: A Diagnostic Conundrum in Two Cases
Authors: Barua Navanil , Sarma Pragyan , Sharma Amit Kumar , Agrawal Atul , Chaturvedi Sujata , Pant Ishita
Published: August 2024

True aneurysms of the superficial temporal artery (STA) are very rarely encountered in clinical practice. Unlike pseudoaneurysms neither they have any preceding history of trauma nor are they associated with atherosclerosis or any other comorbid conditions. We hereby report two such cases, which according to our literature search are exceedingly rare. Two young patients presented with subcutaneous swelling of short duration in the scalp. They did not have any prior history of trauma or associated comorbidities. The only presenting symptom was headache with a pulsatile subcutaneous mass. Diagnostic workup revealed STA aneurysm in both the cases and they were managed with surgical excision of the aneurysm. Histopathology of the aneurysm wall revealed true aneurysm in both cases. True aneurysms of STA should be considered a differential diagnosis in patients with a scalp swelling along the course of the artery. Younger patients should be investigated further to look for any congenital predisposition or coexistent vascular lesion. Considering that it is a rare entity, a proper investigating protocol and surgery remains the key to their successful management.
Editorial for the Special Issue of Comparative Economic Studies: 50 Years After the End of Bretton Woods—The Experiences of Small Open Economies
Authors: Rathke Alexander , Straumann Tobias , Sturm Jan-Egbert
Published: August 2024

This special issue of Comparative Economic Studies, commemorating fifty years since the end of the Bretton Woods system, examines the adjustment of small open economies to floating exchange rates and new monetary policy frameworks. Based on a workshop held at the KOF Swiss Economic Institute in June 2023, six papers analyse dimensions such as the evolution of monetary policy regimes, the impact of economic crises and the use of unconventional monetary policies in Canada, Israel, Norway, Sweden and Switzerland. The findings highlight the benefits and limitations of inflation targeting, the challenges of global financial integration and the strategic responses of central banks to maintain stability and independence, providing policymakers with valuable insights into the complex dynamics of monetary policy in the post-Bretton Woods era.
Electromagnetic scattering controlled all-dielectric cavity-antenna for bright, directional, and purely radiative single-photon emission
Authors: Ahamad Mohammed Ashahar , Ahmed Inam Faraz
Published: August 2024

A deterministic, bright, room-temperature stable single-photon source (SPS) has been a major demand in the field of quantum photonics. Here, using computational and analytical techniques, we showed that the Mie-scattering moments of an all-dielectric cavity-cum-antenna help in shaping the spontaneous emission process of an embedded point-dipole emitter, the nanodiamond-based NV− and SiV color centers here. Our resonator-cum-antenna design comprises two top and bottom TiO2 cylinders with a sandwiched polyvinyl alcohol (PVA) layer enclosing the nanodiamond crystal. The Cartesian multi-polar decomposition of the Mie-scattering moments of the sandwiched PVA layer (enclosing the dipole emitter) with subwavelength scale thickness showed strong electric-dipole (ED) resonance. This resulted in significant field confinement, making the PVA layer to act as a cavity, providing a Purcell enhancement of more than an order of magnitude for all dipole orientations. The top and bottom TiO2 cylinders were observed to act as an antenna, and the far-field radiation pattern of the embedded dipole-emitter is controlled by the Mie-scattering moments of the TiO2 cylinders. The radiation directionality along the vertical directions was found to be maximum at the Kerker point (electric dipole moment, ED = magnetic dipole moment), the collection efficiency (CE) being about 80%. For dipole emission coupled to the antenna, the quantum efficiency was observed to increase to a high value of 0.98 for nanodiamond NV− center, very close to an ideal case of purely radiative emission. Our scheme is shown to be universal and can be applied to any solid-state-based quantum emitters, for generating on-demand SPS for quantum-photonic applications.
Examining teachers’ rhetorical choices
Authors: Moghaddam Mostafa Morady , Bardzokas Valandis
Published: August 2024

This study examines the role of disaffiliative reactions, specifically disagreement, in teacher-student
interactions. Disagreement is often seen as confrontational and disruptive, but this research investigates whether it is a
dispreferred act in these interactions. By analyzing teacher-student interactions and considering students’ final achievement
scores, the study explores how teachers respond to students’ arguments. The paper specifically examines the context in which
teachers contradict students’ arguments when requesting a reconsideration of their scores. While destructive responses are
typically considered face-threatening, the findings suggest that they are the preferred linguistic behavior for teachers in these
situations. This is because a constructive or affiliative reaction may potentially undermine the teachers’ fair assessment policy
and authoritative power. The study also reveals that the severity of disagreements varies based on the tone of the students’
justifications. When students include compliments in their justifications, teachers tend to respond with mitigated disagreement,
whereas openly critical justifications are more likely to elicit aggravated disagreement from teachers. The study illustrates that
different cultures may have varying norms and expectations regarding disagreement and confrontational behavior.
Qubit-qubit quantum coherence mediated by an epsilon-near-zero waveguide
Authors: Yin Zhenhua , Wang Jicheng , Wang Yueke , Zhu Yun , Li Mengmeng , Khakhomov Sergei , Hu Zheng-Da
Published: August 2024

Quantum coherence, as a more general quantum resource compared to quantum entanglement, has attracted increasing attention over recent years. Establishing stable quantum coherence is crucial for implementing reliable quantum information tasks. In this study, we propose a scheme to generate stable quantum coherence of two qubits via an epsilon-near-zero (ENZ) waveguide. We find that employing Si3N4 rather than SiO2 results in stronger qubit-qubit coupling and maximal quantum coherence in a certain range. We derive analytical expressions for both quantum coherence and quantum entanglement, allowing for direct comparison within a unified framework. To achieve stable quantum coherence, classical field driving is introduced. We find that stable coherence is much larger and easier mediated than that of stable entanglement. Our work contributes to the creation of a new stable quantum resource via an ENZ waveguide.
Low carbon economic dispatch of power-gas interconnected systems considering carbon capture technologies
Authors: Cheng Yang , Zhang Xiaoqian , Ji Peng
Published: August 2024

To address wind power curtailment and high carbon emissions in power systems, this paper proposes a low-carbon economic dispatch model for an electricity-gas system with carbon capture technology. It integrates a carbon storage system, thermal power, wind power, and P2G units, aiming to minimize daily operating costs while adhering to operational constraints. This interconnected approach enhances the system’s low-carbon and economic efficiency.
Design of hundred mw level shared BESSs and “Clean Energy + Energy Storage” joint operation mode
Authors: Li Xiangjun , Zhang Weijun , Dong Lizhi , Luo Xingyan , Chen Dawei , Li Hanning , Jia Xuecui , Li Biao
Published: August 2024

This paper presents the background of the construction of the Fujian Xiapu shared energy storage power station project. It also establishes the structure of the dispatching energy management system (EMS) for a large-scale Battery Energy Storage System (BESS) based on the energy storage station’s topology. The design and implementation method of the monitoring module for the energy storage power station is introduced, along with the proposition of the joint operation mode of “clean energy + energy storage”. Additionally, the technical requirements and feasibility of this mode are discussed. The shared energy storage operation mode can effectively enhance the energy conversion efficiency of the battery system while significantly reducing costs.
Optimizing the design of parallel busbars to suppress the Taylor Instability in large-scale liquid metal batteries
Authors: Zuo Xiaozhong , Chen Baozhi , Li Qiguang , Li Benwen , Li Chenhao , Liu Ke , Guo Jingru
Published: August 2024

In this study, we utilize the open-source software OpenFOAM to numerically simulate the Tayler instability in liquid metal batteries. The simulation depicts the dynamic evolution of the electrolyte layer, fluid flow, and magnetic field distribution in the battery at different operating times. Special attention is paid to the influence of optimizing the parallel busbar configuration on Tayler instability and battery capacity. It is found that the additional magnetic field generated by the busbars can effectively alter the magnetic field distribution inside the battery, thereby significantly reducing the Lorentz force and suppressing the Tayler instability within the battery. Therefore, by optimizing the parallel busbar configuration, the stable operating time of the battery is prolonged, and the battery capacity is enhanced. This study provides theoretical support and practical guidance for the application of liquid metal batteries in large-scale grid-level energy storage systems and offers new insights into the development of energy storage technology.
Study on the synthesis of nanoparticles and their power characteristics in a bubble liquid membrane reactor
Authors: Zhang Xin , Li Chunlei , Yang Zhuo , Qiao Mian , Gong Yuan
Published: August 2024

A bubble liquid film reactor is a new type of reactor used for preparing nanoparticles, which has strong inflation ability and dispersion, homogenization, and emulsification effects, especially suitable for preparing loose nanoparticles. In the actual production of enterprises, there is an urgent need to expand production capacity and scale up the reactor. Due to the lack of power characteristic data during the reaction process, it is difficult to select the motor, resulting in unnecessary energy and cost waste. Therefore, the power characteristic data of bubble liquid film reactors urgently needs to be studied. This article investigates the influence of operating conditions such as bubble cap diameter and immersion depth on stirring power and obtains the power characteristics during the operation of a bubble liquid film reactor. The results indicate that the larger the diameter of the bubble cap disk, the stronger the power consumption, but the smaller the power input capacity. The deeper the immersion depth, the higher the power consumption and the stronger the power input capability. Finally, fitting the dimensionless power standard formula provides a mathematical model for reactor amplification, providing theoretical guidance for enterprises to expand production lines and increase production capacity, and providing data support for motor selection.
Energy management strategy of dual-layer fuzzy control for fuel cell mining trucks
Authors: Wang Bo , Tian Shaopeng , Wang Cheng
Published: August 2024

Taking fuel cell mining trucks as the research object, a dual-layer fuzzy control strategy is put forward to handle the problem of the battery being easily overcharged or over-discharged on uphill and downhill roads. The primary layer of the fuzzy control strategy is used to manage the power of the fuel cell and battery. Then, the secondary one is used to limit SOC fluctuations and prevent battery overcharge and over-discharge. Meanwhile, in order to reduce the equivalent hydrogen consumption, Grey Wolf Optimizer is introduced to optimize the fuzzy membership function. Through simulation results, it’s found that when the SOC initial value is 0.3 or 0.7, this strategy can effectively mitigate the SOC fluctuation amplitude, and the SOC is closer to the target. Meanwhile, the equivalent hydrogen consumption of the optimized control strategy decreases by 2.0% and 4.5%, respectively.
Analysis of noise reduction in natural gas pressure-boosted power generation equipment
Authors: Zhao Song , Xiao Jingwen , Zhang Xun , Liu Kun , Liu Shengbing , Tang Chunling
Published: August 2024

To address the issue of excessive noise from the natural gas pressure-boosted power generation equipment, this paper conducts a noise analysis on the equipment at a natural gas purification plant in the Southwest oil and gas field. It identifies the primary sources and mechanisms contributing to the noise from the pressure-boosted power generation equipment. The paper clarifies the effectiveness of the existing noise control measures. It proceeds to conduct indoor experimental research on the noise reduction effects of different combinations of sound insulation and absorption materials. It selects optimal noise reduction strategies suitable for different frequency spectra of noise sources and proposes recommendations for noise reduction measures. Additionally, it employs CadnaA software to simulate and validate the noise reduction effects.