bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of topical anesthetic and fluorescein on non-contact tonometry measurements using ultra-high-speed dynamic Scheimpflug
Authors: Macedo Marcelo , Hatanaka Marcelo , Barboza Wilma Lelis , Mingione Gabriella Marranghello , Ambrósio Renato , Susanna Remo 
Published: October 2023

AbstractThis study aimed to investigate the effects of topical anesthetic and fluorescein drops on intraocular pressure (IOP), central corneal thickness (CCT) and biomechanical properties as measured by Corvis ST (CST-Oculus; Wezlar, Germany) in healthy eyes. A cross-sectional observational study was conducted on 46 healthy patients. The CST measurements were obtained before and immediately after the instillation of topical anesthetic and fluorescein drops. Pre-post instillation data were statistically analyzed. IOP measurements were compared to Goldmann's Applanation Tonometry (GAT), which was also performed after drops instillation. Biomechanical parameters analyzed included applanation 1 velocity, applanation 2 velocity, applanation 1 time, applanation 2 time, whole eye movement, deflection amplitude, and stiffness parameter at first applanation. A statistically significant difference in IOP, both for non-corrected IOP (IOPnct) and biomechanically corrected IOP (bIOP), was observed before and after the instillation of eyedrops. Despite this statistical significance, the observed difference lacked clinical relevance. The IOPnct demonstrated a significant difference pre and post-anesthetic and fluorescein instillation compared to GAT (14.99 ± 2.27 mmHg pre-instillation and 14.62 ± 2.50 mmHg post-instillation, versus 13.98 ± 2.04 mmHg, with p-values of 0.0014 and 0.0490, respectively). Comparable findings were noted when justaposing bIOP to GAT (14.53 ± 2.10 mmHg pre-instillation and 13.15 ± 2.25 mmHg post-instillation, against 13.98 ± 2.04 mmHg, with p-values of 0.0391 and 0.0022, respectively). Additionally, CCT measurements revealed a statistically significant elevation following the administration of topical anesthetic and fluorescein drops (from 544.64 ± 39.85 µm to 586.74 ± 41.71 µm, p < 0.01. None of the analyzed biomechanical parameters showed statistically significant differences after drops instillation. While the administration of topical anesthetic and fluorescein drops induced a statistically significant alteration in both IOPnct and bIOP readings, these changes were not clinically consequential. Furthermore, a notable statistical rise was observed in CCT measurements post-drops instillation, as determined by CST. Yet, corneal biomechanical parameters remained unaffected.
Evaluating the Efficacy of a Narrative Language Intervention for Bilingual Students
Authors: Capin Philip , Vaughn Sharon , Gillam Sandra Laing , Fall Anna-Maria , Roberts Gregory , Israelsen-Augenstein Megan , Holbrook Sarai , Wada Rebekah , Dille Jordan , Hall Colby , Gillam Ronald B. 
Published: October 2023

Purpose:This study examines the narrative language and reading outcomes of monolingual and bilingual students who received instruction with the Supporting Knowledge in Language and Literacy (SKILL) program, a narrative language intervention.Method:The main effects of the SKILL program were evaluated in a randomized controlled trial in which students (N= 355) who were at risk for English language and literacy difficulties were randomized to the SKILL intervention or a business-as-usual instruction. This article reports secondary analyses examining the efficacy of SKILL for bilingual (n= 148) and monolingual (n= 207) students who completed measures of oral and written narrative language and reading comprehension in English.Results:Moderation results showed that the effects of SKILL did not differ for monolinguals and bilinguals across most narrative language measures and did not vary for monolinguals or bilinguals based on their pre-intervention language performance.Conclusion:These findings that suggest a language-based approach to improving narrative production and comprehension yielded similar results for monolinguals and bilinguals and that neither monolinguals nor bilinguals in this study needed to meet a certain threshold of English language proficiency to benefit from the intervention.
Received signal strength reconstruction using pix2pix generative adversarial network
Authors: Wu Haochang , Qin Hao , Zhang Xingqi 
Published: October 2023

AbstractPositioning technology based on received signal strength (RSS) fingerprints has emerged as a vital research topic in indoor localization due to its high accuracy and low cost. Increasing the density of offline fingerprints collected can effectively improve localization accuracy in the online stage, but it will result in astronomical collection costs. RSS reconstruction using generative models is an efficient solution to dramatically reduce fingerprint collection costs while maintaining excellent accuracy. In this paper, the authors propose a pix2pix generative adversarial network based RSS reconstruction model, which can generate a dense RSS fingerprint map based on only the location information of the wireless access point. The accuracy and efficiency of the proposed model are verified in an indoor environment.
Wideband leaky‐wave antenna with dumbbell‐shaped slots on substrate integrated waveguides with twisted corrugations
Authors: Pandey Utkarsh , Singh Parulpreet , Gupta Narbada Prasad , Singh Raghavendra , Bansal Aakash 
Published: October 2023

AbstractThis letter presents a new thin substrate‐integrated waveguide with twisted integrated–digitated capacitor‐based corrugations that offers a transmission loss < 0.55 dB. The presented waveguide operates at TE10 mode and is used to present a wideband beam‐scanning leaky‐wave antenna with an array of dumbbell‐shaped slots. The antenna is shown to operate at a frequency band of 25–37 GHz and offers a gain > 13 dBi throughout the frequency band. It has a frequency‐dependent beam‐scanning capability of 6 deg/GHz. The proposed antenna being thin is extremely conformal and is suitable for applications in millimetre‐wave off‐body communication.
Flow Chamber Analyses in Cardiovascular Research: Impact of Platelets and the Intercellular Crosstalk with Endothelial Cells, Leukocytes, and Red Blood Cells
Authors: Krott Kim Jürgen , Feige Tobias , Elvers Margitta 
Published: October 2023

AbstractPlatelets are main drivers of thrombus formation. Besides platelet aggregate formation, platelets interact with different blood cells such as red blood and white blood cells (RBCs, WBCs) and endothelial cells (ECs), to promote thrombus formation and inflammation. In the past, the role of different proteins in platelet adhesion, activation, and aggregate formation has been analyzed using platelets/mice with a genetic loss of a certain protein. These knock-out mouse models have been investigated for changes in experimental arterial thrombosis or hemostasis. In this review, we focused on the Maastricht flow chamber, which is a very elegant tool to analyze thrombus formation under flow using whole blood or different blood cell components of genetically modified mice. Besides, the interaction of platelets with RBCs, WBCs, and ECs under flow conditions has been evaluated with regard to thrombus formation and platelet-mediated inflammation. Importantly, alterations in thrombus formation as emerged in the flow chamber frequently reflect arterial thrombosis in different mouse models. Thus, the results of flow chamber experiments in vitro are excellent indicators for differences in arterial thrombosis in vivo. Taken together, the Maastricht flow chamber can be used to (1) determine the severity of platelet alterations in different knock-out mice; (2) analyze differences in platelet adhesion, aggregation, and activation; (3) investigate collagen and non–collagen-dependent alterations of thrombus formation; and (4) highlight differences in the interaction of platelets with different blood/ECs. Thus, this experimental approach is a useful tool to increase our understanding of signaling mechanisms that drive arterial thrombosis and hemostasis.
Karzinom, Tuberkulose, atypische Pneumonie – oder vielleicht pulmonale Tularämie? Zwei Fallberichte
Authors: Kimmich Martin , Jakob Maja 
Published: October 2023

ZusammenfassungTularämie ist eine seltene aber in ländlichen Gebieten ganz Deutschlands endemische Zoonose. Ihre Manifestation bei inhalativem Infektionsweg ruft Erkrankungsbilder hervor, die zunächst an andere atypische Pneumonien, pulmonale Neoplasien oder Tuberkulose denken lassen. Wir stellen zwei für die pulmonale Manifestation typische Erkrankungsfälle vor.
Interprofessionelle Weaning-Boards und Weaning-Konsile für Langzeitbeatmungspatient*innen: Eine qualitative Studie zum wahrgenommenen Potenzial für die Patientenversorgung
Authors: Keller Sabrina , Forstner Johanna , Weis Aline , Biehler Elena , Trudzinski Franziska , Michels Julia , Neetz Benjamin , Herth Felix , Schneider Armin , Ghiani Alessandro , Szecsenyi Joachim , Wensing Michel , Poß-Doering Regina 
Published: October 2023

Zusammenfassung
Hintergrund Das Projekt PRiVENT hat sich zum Ziel gesetzt, die Versorgung von invasiv beatmeten Patient*innen zu verbessern und die Anzahl der außerklinischer Langzeitbeatmungspatient*innen zu reduzieren. PRiVENT bietet Intensivstationen die Möglichkeit, sich in interprofessionellen Weaning-Boards und Weaning-Konsilen mit Expert*innen aus spezialisierten Weaning-Zentren auszutauschen und das volle Weaning-Potenzial der Patient*innen auszuschöpfen. Im Rahmen der begleitenden Prozessevaluation werden die PRiVENT-Interventionskomponenten auf Nachhaltigkeit, Skalierbarkeit und Wirksamkeit untersucht sowie die interprofessionelle Zusammenarbeit zwischen Intensivstationen und den zuständigen Weaning-Zentren untersucht, um Potenziale für die Versorgung von invasiv betreuten Patient*innen identifizieren zu können.

Methode In einer qualitativen Querschnittsstudie wurden semistrukturierte, problemorientierte Interviews mit Leistungserbringenden teilnehmender Intensivstationen durchgeführt. Die Daten wurden digital aufgezeichnet, pseudonymisiert und verbatim transkribiert. Die Datenanalyse erfolgte in Anlehnung an die Thematic Analysis nach Brown und Clarke und dem Consolidated Framework for Implementation Research. Zur Organisation der Daten wurde die Software MAXQDA 2020 verwendet.

Ergebnisse Es wurden 14 Interviews mit den Leistungserbringenden der Intensivstationen geführt. Als positiv wahrgenommene Potenziale der Weaning-Boards und Weaning-Konsile wurden die frühzeitige Verlegung von Patient*innen in ein Weaning-Zentrum sowie die Integration von pulmologischem Fachwissen in die Routineversorgung identifiziert. Insbesondere bei schwerkranken, multimorbiden an COVID-19 erkrankten Patient*innen wurde die Expertise der Weaning-Zentren als hilfreich angesehen. Aufgrund der hohen Arbeitsbelastung konnte das Pflegepersonal nicht an den Weaning-Boards und Weaning-Konsilen teilnehmen.

Schlussfolgerung Die Interprofessionelle Zusammenarbeit zwischen Weaning-Zentren und Intensivstationen in Weaning-Boards und Weaning-Konsilen kann die Versorgung invasiv beatmeter Patient*innen verbessern. Strategien zur Förderung des Einbezugs von Pflegefachkräften sollten diskutiert und erarbeitet werden.
Zusammen unschlagbar: Als Physiotherapeutin bei den Special Olympics World Games
Authors: Jasko Annika 
Published: October 2023

Zusammenfassung
Vom 17. bis 25. Juni 2023 fanden in Berlin – und damit erstmalig in Deutschland – die Special Olympics World Games unter dem Motto #ZusammenUnschlagbar statt. Als Gastgeber stellte Special Olympics Deutschland die größte Delegation bei den Weltspielen. Annika Jasko ist VPT-Mitglied und hat als Physiotherapeutin vor Ort die deutschen Athletinnen und Athleten mit betreut. Im Interview gibt sie uns einen spannenden Einblick in die Arbeit mit Hochleistungssportler*innen im Wettkampfmodus.
Exploring the employment motivation, job satisfaction and dissatisfaction of university English instructors in public institutions: a Chinese case study analysis
Authors: Morris Gareth , Mo Junhua 
Published: October 2023

AbstractThis study considers the important areas of language teacher employment motivation, job satisfaction and dissatisfaction in state universities in China. This is an area in which there is a distinct lack of research studies. Through an exploratory case study analysis, and depth enlightening interviews, this paper considers the experiences of two outwardly successful doctorate status educators, examining their early career motives and subsequent employment satisfaction and dissatisfaction. It finds that these English instructors were driven by a diverse range of extrinsic motives to work in the Chinese public university sector. They were largely satisfied with their jobs, but they also reported dissatisfaction in certain areas. For example, they appreciated the teaching loads and respect afforded to university teachers, but harboured worries about their longer-term professional development. The study also reveals the different treatment and concerns experienced by home and expatriate university English teachers working in China. There are implications for a wide range of important pedagogic and professional areas. These range from teacher wellbeing and mental health to development and training, career management and leadership practice. On a more macro level still, there are also potential implications for institutional human resource governance.
Determination of the ground and excited state dipole moments of ferulic and sinapic acids by solvatochromic effects and density function theory method
Authors: Sherefedin Umer , Belay Abebe , Kebede Alemu , Asemare Semahegn , Woldegiorges Kinfe , Kumela Alemayehu Getahun , Gudishe Kusse 
Published: October 2023

Ferulic acid (FA) and sinapic acid (SA) are groups of phenolic acids that belong to the class of hydroxycinnamic acid. Due to their molecular structure and functional groups, these compounds exhibit a wide range of biological activities. In this research, we have determined the dipole moments of these compounds in gas and solvent phases using spectroscopic and computational methods. The change in the dipole moments of FA and SA was calculated by Bakhshiev’s, Kawski–Chamma–Viallet’s, Lippert–Mataga’s, and microscopic solvent polarity functions. The results show that the change in the dipole moment calculated using Lippert–Mataga’s method is higher than that using other methods. This is due to the fact that this method ignores the specific interactions of the solute and solvent as well as the polarizability of the solute molecule. Similarly, the ground and excited-state dipole moments were determined by theoretical quantum chemical calculations using density functional theory (DFT); the results are found to be similar to the experimental ones. In both approaches, the excited dipole moment is greater than the ground state, indicating a significant redistribution of electron densities and being more sensitive to the solvent in the excited state for both molecules. The HOMO-LUMO energy bandgaps calculated in the gas phase for FA and SA are 4.001 and 4.055 eV, respectively. In addition, electron charge density maps, UV–Vis absorption spectra, and oscillator strengths were calculated using the DFT method to obtain general information about the compounds.
From data to theory
Authors: Janda Laura A. , Endresen Anna , Zhukova Valentina , Mordashova Daria , Rakhilina Ekaterina 
Published: October 2023

Abstract
The semantic classification of over 2,200 constructions in the Russian Constructicon has emerged objectively from
empirical analysis. The resulting semantic classification comports with and goes beyond frame semantics, revealing complex
patterns of related constructions verified against corpus data and by a panel of native speakers. Our model of a constructicon can
inform and complement existing approaches with additional findings. We detail our discovery procedure and the semantic
relationships that link constructions. While our methods and findings are based on a single language, they can serve as a basis
for cross-linguistic comparison in the field of Construction Grammar and constructicography research.
Evidential propositions as situational scenarios
Authors: Reda Ghsoon 
Published: October 2023

AbstractThis study examines the interpretation of evidential propositions using insights from theLexical Constructional Model(LCM), including its recent classification of situational scenarios (cognitive models) into three sub-types: descriptive, attitudinal and regulatory. The aim is to show that processing the meaning of an evidential proposition can require profiling parts of all three types of situational scenarios– a process that is activated (at the lexical-constructional, discourse and implicational levels) by such cognitive operations asechoing,contrastandmetonymy. This is consistent with the principles ofRelevanceaccording to which the contextual information required for interpreting the speaker’s explicit/implicit meaning (i.e., explicating/implicating it) is not limited to a particular knowledge type or source (encyclopaedic, socio-cultural, religious and so on). The study, thus, complements work on evidentiality by going beyond its features, markers and behaviour in discourse to focus on the interpretation of evidential propositions in connection with cognitive models and operations.
Black holes and hot shells in the Euclidean path integral approach to quantum gravity
Authors: Lemos José P S , Zaslavskii Oleg B 
Published: October 2023

Abstract
We study a spherical black hole surrounded by a hot self-gravitating thin shell in the canonical ensemble, i.e. a black hole and a hot thin shell inside a heat reservoir acting as a boundary with its area and temperature fixed. To work out the quantum statistical mechanics partition function of this matter-black hole system, from which the thermodynamics of the system follows, we use the Euclidean path integral approach to quantum gravity that identifies the path integral of the gravitational system with the partition function itself. In a semiclassical evaluation of the path integral, one needs to compute the classical action of the system. From the action, one finds the result that the total entropy, given by the sum of black hole and matter entropies, is a function of the gravitational radius of the system alone. So, the black hole inside the shell has no direct influence on the total entropy. One also finds the free energy which is equal to the action times the temperature, the thermodynamic energy, and the temperature stratification along the system. Another important result is that the heat reservoir temperature is composed of a free function of the gravitational radius of the system, which acts as a reduced temperature equation of state, divided by the redshift function at the reservoir. Upon the specification of the reduced temperature, the solutions for the gravitational radii of the system compatible with the boundary data can be found. In addition, it is found that the black hole inside the shell has two possible horizon radii. The first law of thermodynamics is then identified, and it is shown that the first law is satisfied by the system as whole, it is realized by the matter in the hot shell, and it is also applicable to the black hole. The thermodynamic stability analysis is performed through the calculation of the system’s heat capacity. By specifying the available temperature free function as the Hawking temperature equation of state of the gravitational radius of the system, which itself is not a black hole, one finds a remarkable exact mechanical and thermodynamic solution. With the exact solution in hand one establishes that pure black hole spaces, hot shell with a black hole spaces, pure hot shell spaces, and hot flat spaces are phases that cohabit in the ensemble, with some of them acting as thermodynamic mimickers. This exact thermodynamic solution for a black hole with a self-gravitating hot shell is not only of interest in itself, but can also be seen as a model to situations involving black holes interacting with hot gravitons and other hot particles. The study of the high temperature limits for the system also reveals several important aspects.
Multivariate intrinsic wave-characteristic decomposition and its application in gear fault diagnosis
Authors: Zhou Jie , Cheng Junsheng , Yang Yu , Peng Yanfeng 
Published: October 2023

Abstract
In the early stages of gear faults, the background noise in the signal is pronounced, making it challenging to fully assess the health status of equipment based on a single-channel signal. Processing multi-channel signals proves beneficial for extracting fault information comprehensively. Adaptive multivariate signal decomposition methods, such as multivariate empirical mode decomposition (MEMD) and multivariate local characteristic-scale decomposition (MLCD), employ a fixed multivariate mean curve extraction method for signal decomposition. Consequently, these methods often exhibit suboptimal performance when decomposing different multi-channel signals. This study defines nine multivariate mean curve extraction methods and introduces the multivariate intrinsic wave-characteristic decomposition (MIWD) method based on the principles of mean curve optimization and an adaptive projection method. MIWD dynamically optimizes the multivariate mean curve during the decomposition process, resulting in superior performance in terms of decomposition accuracy, capability, and orthogonality compared to MEMD and MLCD. Furthermore, we apply MIWD to gear fault diagnosis, and simulation and experimental results affirm the superiority of MIWD.
Cross-device target migration intelligent diagnosis method of wind power gearbox faults
Authors: Guo Panpan , Cui Ben , Zhang Wenbin 
Published: October 2023

AbstractThe current convolutional neural network (CNN) deep learning algorithm for wind power gearbox fault diagnosis requires a substantial amount of high-quality tagged data from testbeds to achieve accurate results. However, it may not perform well in practical engineering scenarios where there is limited fault tag data and incomplete fault information. To overcome this challenge, a novel approach utilizing cross-device target transfer for intelligent diagnosis of wind turbine gearbox faults is proposed. This method transforms the fault diagnosis of wind turbine gearboxes into an image recognition and classification task. Initially, the source domain gearbox testbed data is subjected to dimension transformation using the Gramian angular difference field technique, resulting in the generation of small sample two-dimensional images. This transformation simulates the limited fault tag data scenario encountered in practical engineering. Once the fault features have been augmented, the small sample source domain gearbox testbed data is fed into the IConvNeXt deep CNNs. These CNNs are interconnected and specifically designed for the field. They aim to extract and recognize fault features, thereby creating a pre-training model. The pre-training model is then transferred to the target domain wind power gearbox data for fault diagnosis experiments. The results of these experiments demonstrate the significant effectiveness of the proposed method in recognizing faults in small sample wind power gearboxes within the target domain. Overall, this method successfully achieves the goal of intelligent fault diagnosis through target transfer. It addresses the challenge of limited fault tag data and incomplete fault information, thereby enhancing the performance of CNNs in practical engineering scenarios.