bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinanten für die Stressbelastung bei jungen Mädchen mit chronischen Kopfschmerzen
Authors: Bung Simone , Saile Helmut , Laessle Reinhold 
Published: June 2022

ZUSAMMENFASSUNGChronische Kopfschmerzen bei Kindern und Jugendlichen sind ein häufiges Krankheitsbild, bei dem Stressfaktoren eine bedeutsame Rolle spielen. Aus der empirischen Literatur ergibt sich, dass die Stressbelastung der Jugendlichen erhöht ist, die Jugendlichen aber gleichzeitig nur über sehr eingeschränkte Fertigkeiten zur Bewältigung von Stresssituationen verfügen.In der vorliegenden Arbeit wurde in einer kontrollierten Querschnittsstudie überprüft, welche Unterschiede sich beim Vergleich von Mädchen mit chronischen Kopfschmerzen mit einer Kontrollgruppe bezüglich Stressbelastung und Stressbewältigung zeigen. Darüber hinaus wurden die psychopathologischen Merkmale Ängstlichkeit und Depressivität erhoben und ein biologischer Indikator für chronischen Stress (die Cortisol-Aufwachreaktion) gemessen.Mit multiplen linearen Regressionsanalysen wurde geprüft, welche Variablen die erlebte Stressbelastung beeinflussen.Es wurden insgesamt 148 Mädchen untersucht im Altersbereich zwischen 13 und 17 Jahren. Stressbelastung und Stressbewältigung wurden mit dem SSKJ 3–8 gemessen. Speichelproben zur Bestimmung von Cortisol wurden zu Hause nach dem Aufwachen gesammelt.Die Ergebnisse belegen eine höhere Stressbelastung der Mädchen mit Kopfschmerzen auf körperlicher und psychischer Ebene und eine größere Empfindlichkeit für die Wahrnehmung einer Situation als stressbezogen. Die Stressbewältigungsstrategien waren signifikant ungünstiger. Spezifisch für die Mädchen mit Kopfschmerzen fand sich eine erhöhte Cortisol-Sekretion nach dem Aufwachen. Als bedeutsame Einflussfaktoren für eine hohe psychologische Stressbelastung erwiesen sich die destruktive Stressverarbeitung sowie ein hohes Ausmaß an Ängstlichkeit und Depressivität. Bisher vorliegende Daten zur stressbezogenen Entstehung und Aufrechterhaltung von Kopfschmerzen bei Jugendlichen konnten bestätigt werden. Die Ergebnisse der Regressionsanalysen sprechen dafür, in der therapeutischen Praxis ein besonderes Augenmerk auf die Einbeziehung von Angst und Depression zu richten.
Interdisziplinarität in der Diagnosefindung häufiger Knochenläsionen im klinischen Alltag
Authors: Hartmann Wolfgang , Vieth Volker , Streitbürger Arne , Hardes Jendrik 
Published: June 2022

Zusammenfassung
Einleitung Die interdisziplinäre Zusammenarbeit war und ist insbesondere in der Gegenwart – bedingt durch den enormen Wissensfortschritt in der Medizin – von herausragender
Bedeutung. Die Diagnostik und Therapie von benignen und malignen Knochentumoren stellt alle beteiligten Fachdisziplinen aufgrund der Seltenheit dieser Tumoren häufig vor Herausforderungen.
Das Ziel dieses Artikels ist es, die Bedeutung der Interdisziplinarität in der Diagnosefindung von Knochentumoren herauszuarbeiten.
Methoden Es handelt sich um eine Übersichtsarbeit zur Bedeutung der Interdisziplinarität bei der Diagnostik von Knochentumoren. Aufgrund der nur umschriebenen Literatur zu diesem
Thema veranschaulichen wir anhand von Fallbeispielen die Notwendigkeit der interdisziplinären Zusammenarbeit.
Ergebnisse und Diskussion Dieser Artikel verdeutlicht, dass eine interdisziplinäre klinisch-radiologische Betrachtung von „leave-me-alone lesions“ und eine
klinisch-radiologisch-pathologische Korrelation von biopsierten Knochentumoren erfolgen muss. Alle Befunde müssen im Rahmen einer gemeinsamen interdisziplinären Konferenz in ein
diagnostisches Gesamtbild eingefügt werden, sodass nicht selten die Diagnose am Ende interdisziplinär erarbeitet wird.
Schlussfolgerung Für den „Kliniker“ ist es unabdingbar zu wissen, dass die Diagnose eines Knochentumors oft nicht allein durch den Pathologen gestellt werden kann und zwingend der
interdisziplinären Zusammenarbeit bedarf.
Knowledge Levels, Attitudes, and Behaviors of Health Care Professionals regarding COVID-19 Vaccines
Authors: Uzer Fatih , Yesil Omer , Gokmen Yasin , Sayan Mehmet Reşit , Cengiz Mucahit 
Published: June 2022

Background Shortly after the coronavirus disease 2019 (COVID-19) pandemic, vaccines were developed. Vaccination of the society in a short time may be the most important step in the fight against the pandemic. Health workers can be considered role models for society.
Aim We aimed to investigate the COVID-19 vaccination status of health care workers.
Methods The universe of our cross-sectional and descriptive study consisted of doctors, nurses, secretaries, interns, and other health care professionals. In the light of the literature, a questionnaire was prepared that questioned the attitudes and behaviors of the participants about vaccines. Face-to-face interviews were conducted during the visits. SPSS was used for statistical analysis.
Results A total of 806 volunteers, 51.4% (414) male and 48.6% (392) female, with a mean age of 32.7 ± 9.3 years, were included in the study. In total, 4.6% (37) of the participants in the study had not received any COVID-19 vaccine. Male participants were vaccinated statistically significantly more than female participants (p = 0.044). Of those vaccinated against COVID-19, 98.3% (774) had received at least two doses. Also, 26.9% (217) of health care workers had COVID-19 disease. The rate of those whose first-degree relatives had COVID-19 was 42.2% (340). A total of 87.3% (704) of health care workers reported that COVID-19 vaccines were safe. Also, 25.3% (204), 29.5% (238), and 35.0% (282) of the participants reported that state officials' vaccination in front of the media, social media news, and national media news, respectively, affected the decision to vaccinate.
Conclusion Although male health care workers have received more COVID-19 vaccines than female health care workers, vaccination rates of health care workers are at an acceptable level. Health workers comply with the calendar recommended by the ministry.
Approach to the Diagnosis of Hepatoid Adenocarcinoma, an Under-reported Entity: Case Series and Review of Literature
Authors: Chhabra Prerna , Sancheti Sankalp , Sali Akash Pramod , Somal Puneet Kaur , Sharma Aishwarya , Brar Rahat Singh , Gulia Ashish , Kapoor Rakesh 
Published: June 2022

AbstractHepatoid adenocarcinoma is a rare type of extra-hepatic adenocarcinoma which exhibits morphological, functional, and immunohistochemical features of hepatocellular carcinoma, hence correct diagnosis poses a challenge. The most frequent site of this tumor is stomach and rarely occurs in ovaries, lung, gallbladder, pancreas, uterus, and other sites. We present four cases of hepatoid adenocarcinoma of our hospital at rare sites like lungs and gallbladder along with literature review and a simplified approach to diagnosis. In absence of adequate immunohistochemistry or radiological findings often this entity is missed or misdiagnosed as metastatic hepatocellular carcinoma. We have analyzed these hepatoid adenocarcinoma cases in terms of various clinical, serological, histo-morphological, and immunohistochemical parameters, and propose a systematic approach to correctly diagnose this entity.
The emergence of new varieties of English in North America
Authors: Kretzschmar William A. 
Published: June 2022

Abstract
The emergence of English varieties in North America follows the predictions of complexity science. The complex systems model does not predict the small number of dialects that most scholars assume to be there because of their perception of variation. Instead, complexity science predicts that we should be able to observe varieties at many levels of scale, from the overall scale of “American English” down to varieties found at the scale of different regions or different colonies, and down to varieties found at the scale of every locality. This way of thinking about varieties, not as separate grammars or lexical lists but instead as scalar entities, explains the evidence of variation in North America much better than we understood it before.
Enregisterment processes of American English in nineteenth-century U.S. newspapers
Authors: Paulsen Ingrid 
Published: June 2022

Abstract
The question of when and how American English emerged as a distinct variety of English has recently been addressed again within more general discussions of the emergence and evolution of new varieties of English (Schneider 2007; Kretzschmar 2014, 2015). I argue in this chapter that these discussions would benefit from a clear and consistent differentiation between the emergence of varieties as discourse constructs (‘discursive varieties’) and as distinct structural systems (‘structural varieties’). I propose using the theoretical framework of ‘enregisterment’ (Agha 2003, 2007) to investigate the discursive dimension and I show how enregisterment processes can be studied systematically by providing a case study of metadiscursive activities linking five linguistic forms to stereotypic indexical values in nineteenth-century U.S. newspaper articles.
Canadian English lexis and semantics
Authors: Dollinger Stefan 
Published: June 2022

Abstract
This paper introduces the use of a historical dictionary as a linguistic resource. This dictionary, the Dictionary of Canadianisms on Historical Principles, Second Edition (Dollinger & Fee 2017) affords a new real-time perspective on the Canadian vocabulary. As it is based on an empirical, cross-variational perspective, it instills a comparative perspective into the data. The dictionary’s genesis, benchmarks and entry structure will be explained, before the vocabulary of Canadian English is sketched in four key components: typology, semantic donor domains, compounding as a key word-formation pattern and regionalisms within Canada. This study is intended as an introduction to this open access resource (www.dchp.ca/dchp2) and a first step towards a more sophisticated analysis of lexis over time.
Ground-state and dynamical properties of a spin-S Heisenberg star
Authors: Li Jiaxiu , Wu Ning 
Published: June 2022

Abstract
We generalize the Heisenberg star consisting of a spin-1/2 central spin and a homogeneously coupled spin bath modeled by the XXX ring [Richter J and Voigt A 1994 J. Phys. A: Math. Gen.
27 1139-1149] to the case of arbitrary central-spin size S < N/2, where N is the number of bath spins. We describe how to block-diagonalize the model based on the Bethe ansatz solution of the XXX ring, with the dimension of each block Hamiltonian ≤ 2S + 1. We obtain all the eigenenergies and explicit expressions of the sub-ground states in each l-subspace with l being the total angular momentum of the bath. Both the eigenenergies and the sub-ground states have distinct structures depending whether S ≤ l or l < S. The absolute ground-state energy and the corresponding l as functions of the intrabath coupling are numerically calculated for N = 16 and S = 1, 2, ⋯ ,7 and their behaviors are quantitatively explained in the weak and strong intrabath coupling limits. We then study the dynamics of the antiferromagnetic order within an XXX bath prepared in the Néel state. Effects of the initial state of the central spin, the value of S, and the system-bath coupling strength on the staggered magnetization dynamics are investigated. By including a Zeeman term for the central spin and the anisotropy in the intrabath coupling, we also study the polarization dynamics of the central spin for a bath prepared in the spin coherent state. Under the resonant condition and at the isotropic point of the bath, the polarization dynamics for S > 1/2 exhibit collapse-revival behaviors with fine structures. However, the collapse-revival phenomena are found to be fragile with respect to the anisotropy of the intrabath coupling.
UAV Landing Aid Hexapod Robot based on ArUco Marker and Sparse Optical Flow
Authors: Yue ZHU , Shuai HE , Xuechao DUAN , Ziqi XU 
Published: June 2022

Abstract
A UAV (Unmanned Aerial Vehicle) landing robot system based on a six-degree-of-freedom hexapod and computer vision with ArUco marker and sparse optical flow is implemented in this paper. By using binocular camera measuring the real-time position and orientation of UAV, a dynamic target tracking method based on ArUco marker and sparse optical flow is proposed. In this method, the ArUco marker is combined with sparse optical flow to improve the accuracy of target detection and the matching error of binocular stereo matching. The binocular vision system with ArUco marker is used to measure and calculate the relative coordinates of markers in the camera coordinate system. Then the UAV contour fitting is conducted in order to obtain the real-time position and orientation of this mobile target. The effectiveness of the novel UAV landing hexapod robot system based on ArUco marker combined with sparse optical flow is verified through the UAV capture experiment.
Research on Connector Assembly System and Control Strategy for Large-scale Panel
Authors: Fan Yang , Changming Hu , Zhanying Feng , Min Liu , Xumin Wang 
Published: June 2022

Abstract
There are technical requirements for the assembly of thousands of separate flange joints on the radar panel. The use of traditional manual assembly has problems such as high labor intensity, low assembly efficiency, and difficulty in uniform assembly quality. Therefore, in response to the above problems, combined with the requirements of high precision of joint assembly position and attitude, and intelligent management and control of the operation process, a set of joint component assembly system based on dual vision positioning, robot + ground rail + multi-axis module drive multi-gripper and electric batch accurate assembly is proposed. The system uses a dual-vision precise guidance control robot + ground rail as the main actuator, and an end effector composed of a multi-gripper assembly module and a lock. Using PLC as the main control center, equipped with robot, host computer, vision and other sub-systems, In this way, a large-scale, high-precision, and high-reliability joint assembly for military products is realized.
Extending the Force Balancing Method of Adjusting Kinematic Parameter to Spatial Mechanisms
Authors: He Ruyi , Borugadda Anil , Zhang Bing , Zhang Wenjun 
Published: June 2022

Abstract
Robotic mechanisms is one that the mechanism includes no less than one variable speed actuator. As for force balancing, which refers to mechanisms with a complete cancelation of the inertia-induced force on the ground (shaking force). A few strategies are accessible for reducing shaking force, including the counterweight (CW), add-of-spring (AOS), add-of-linkage (AOL), and adjusting kinematic parameter (AKP). AKP is only applicable to planar robotic mechanisms when it was developed. The primary goal of the present paper is to extend AKP approach to a spatial mechanism. Considering the complex kinematic characteristics of spatial mechanism, a simple spherical parallel robot (SPR) is used as the research tool. The equations for force balancing of the spherical robotic mechanism using AKP were derived. Simulation verification was performed by a reliable software called SPACAR available in the Matlab environment. The results demonstrated the effectiveness of the AKP method in eliminating the unbalanced force to spatial mechanisms. The main contribution is the provision of a new force balancing method to spatial mechanisms, which will enrich the field of balancing of spatial robotic mechanisms.
Symmetry Weight-sharing for Patch-based Stereo Matching
Authors: Yan Tingman , Yang Xilian , Zhao Qunfei 
Published: June 2022

Abstract
Neural networks are becoming more popular than traditional methods in stereo matching. The networks can be decomposed into four sub-modules: feature extraction / matching cost computation, cost aggregation, disparity computation / optimization, and disparity refinement. A typical design for the feature extraction networks is that the left and right branches share the same weights. However, the Siamese networks are weak at distinguishing neighboring patches because of the interference of geometric distortion on slanted surfaces. This paper proposes symmetry weight-sharing to improve the feature extraction networks. The geometry of feature extraction and patch comparison has been analyzed, which shows that symmetry weight-sharing can fulfill the geometry on slanted surfaces. A half-translation module is proposed to implement symmetry weight-sharing without additional computational costs. Experiments on the KITTI 2012 and KITTI 2015 datasets show that the symmetry weight-sharing networks have better performance than the weight-sharing networks.
Low-light Image Enhancement Algorithm Based on Exposure Prediction and Hybrid Feature Weighted Fusion Strategy
Authors: Hui Yanming , Wang Jue , Shi Ying , Li Bo 
Published: June 2022

Abstract
First, based on a given low-light image, moderately exposed and overexposed images are generated through the Exposure Image Prediction Model (EIPM).Then all three generate feature maps by a Feature Extraction Module (FEM),and then the feature maps of them are denoised. Subsequently, the feature map of the low-light image is fused with the feature maps of the two exposure rates images respectively. Finally, an adaptive weighted fusion method is used to obtain ultimate enhanced image. Experiments show that by comparing with the current SOTA algorithms,the proposed ELLIE algorithm, both in the detail feature retention and in color recovery have been significantly improved, and the subjective and objective evaluation indicators also have obvious advantages.
Review of state of computer vision technologies development in the world and Ukraine
Authors: Valko N V , Osadchyi V V 
Published: June 2022

Abstract
Computer Vision is a multidisciplinary field, a unit of artificial intelligence and machine learning. It includes the specialized methods and general learning algorithms use. More and more scientists are becoming interested in Computer Vision researching. Therefore, it is important to train future professionals in this area and develop special study programs. We reviewed the development of Computer Vision technologies in the world and in Ukraine, considered the challenges facing professionals and gave an example of Computer Vision project development.
Application of image processing programs in color analysis of wood photodegradation
Authors: Plata G J D , delos Santos R M 
Published: June 2022

Abstract
In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradation studies. Aside from structural changes based on chemical analysis, color change assessment can also be employed to check any extent of degradation on wood without the need for sophisticated analytical equipment. This study presents the application of two image processing programs in color analysis of wood photodegradation: ImageJ and Colormath library, which are Java-based and Python-based software, respectively. Images of unexposed and UV-exposed wood samples were taken using a smartphone as an affordable digital camera. RGB channel values from these images were analyzed and quantified by ImageJ software. These values were converted to the corresponding CIEL*a*b* parameters using the Colormath library to calculate the color change, ΔE. For the 3-hour exposed sample, ?E is equal to 4.29. This value indicates appreciable color change, according to the criteria from literature. Regardless of the exposure time, the wood samples become darker as indicated by the negative value in the change in lightness L*
Practice of applying functional approach to the design of digital learning aids
Authors: Bilousova L I , Gryzun L E , Lytvynova S H 
Published: June 2022

Abstract
In accordance with its aim, the paper highlights practical aspects and experience of the functional approach applying to the development of contemporary digital learning aids in the progress of project-driven activity of the pre-service IT specialists at their holistic vocational training. Theoretical framework of the work is made by holistic educational paradigm and functional approach to digital learning aids development. The specific examples of such an experience of the functional approach applying to the design of digital learning aids within project-based activity of the pre-service IT-specialists at their holistic vocational training: project activity on the design of (1) English digital tutorial for schoolchildren and (2) e-guide on the cryptography fundamentals for university students, are depicted in details. The analysis of such an activity is provided from the standpoint of the benefits of holistic and functional approaches. The prospects of following up research are covered.
ICT-based assessment of cognitive load in chemistry learning
Authors: Derkach T M 
Published: June 2022

Abstract
The article is devoted to studying and preventing an excessive increase in the cognitive load of university students studying chemistry using various electronic resources. The experiment involved 49 third-year students of the Faculty of Chemistry who studied organic chemistry. A homemade software was developed to measure the level of cognitive load using the secondary problem method. Cognitive load levels were studied depending on the types of used electronic resources. The studied resource types are texts of different levels of complexity, audio and visual materials in different combinations. The load values were measured for each respondent, expressed in relative quantitative units and averaged over the whole student group. In parallel, the preferred learning styles among the respondents were identified according to the Index of Learning Style of Felder-Soloman. A correlation was established between the preferred learning styles of students and the cognitive load they feel when working with electronic resources. The factors that affect an optimal set of educational resources were identified for student groups with various learning profiles. The results of factor analysis allowed the authors to assess the contribution of different learning styles in the formation of cognitive load in the use of different electronic resources. The techniques described in this article allow one to control cognitive load, predict and prevent its excessive increase.