bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on Internal Force Change of Continuous Steel-Box Girder Bridge During Construction Based on Support Position Optimization
Authors: Du Peng , Liu Man , Ma Yongqing , Tang Jun , Jiang Haonan , Gao Qingfei 
Published: December 2024

AbstractDuring the installation and removal of the support of continuous steel box girder bridge, the internal force of the main girder will change, and the range of internal force change is closely related to the position of the support. However, at present, the position of bridge support is mainly determined by experience, which can not effectively reduce the internal force change of main girder during construction and affect the safety of bridge construction. Based on the matrix displacement method, this paper theoretically analyzes the internal force changes of the main girder with or without support, and puts forward the method to determine the optimal position of the support of the continuous steel box girder bridge. According to the theoretical method, the support position is determined and the finite element model is established. The internal force changes of the key sections of the bridge are calculated by numerical simulation and theoretical analysis respectively. By comparing the calculation results and combining the bending moment diagram of the main girder, it can be concluded that the calculation error of the two methods is less than 6%, which shows that the theoretical method has high accuracy and engineering applicability; The optimal position of the support determined by theoretical method is located near the transition point of positive and negative bending moments. Based on this rule, the position of the support can be preliminarily judged in engineering to improve the efficiency and safety of construction.
Analytical Investigation of Temperature Field in Rock Surrounding Shallow Buried Circular Tunnel Considering Insulation Layer
Authors: Zhang Tianyu , Yu Yan , Ge Danqi , Xia Dongsheng 
Published: December 2024

AbstractThe temperature field in the rock surrounding a shallow-buried circular tunnel by considering the influence of the insulation layer is analytically investigated in this paper. The conformal mapping method is used to transform the heat conduction equation of the tunnel surrounding rock in Cartesian coordinates to one in the polar coordinate system, obtaining the expression of the heat conduction equation in polar coordinates. By applying boundary conditions and continuity conditions, the analytical solution for the steady-state temperature field in the rock surrounding a shallow-buried circular tunnel is obtained. Meanwhile, a finite element model is established to compare the analytical solution obtained in this study with the numerical solution. The consistency between the analytical solution and the numerical solution verifies the accuracy of the analytical solution proposed in this paper. The influences of tunnel radius, tunnel burial depth, insulation layer thickness, and thermal conductivity of the insulation layer on the steady-state temperature field in the rock surrounding the tunnel are analyzed. The research results are significant for the guidance of actual tunnel engineering projects.
Experimental Study on Defect Detection of Steel Plates Using Eddy Current Infrared Thermal Imaging Technology
Authors: Ma Rui , An Ning , Dong Peng 
Published: December 2024

AbstractIn this paper, based on the principle of electromagnetic induction, eddy current infrared thermal imaging technology is used to detect steel plates with defects, and the temperature distribution diagram of steel plates is obtained. Through the experimental study, it can be seen that the temperature distribution of steel plate without defect is uniform temperature band, while the temperature distribution of steel plate with groove defect has obvious fluctuation. The location, shape, size and other information of defects can be obtained through the analysis of temperature map changes, especially the top position of defects, which is of great significance for detecting defects and their development trend.
Die gläserne Decke in der Ophthalmologie
Authors: Reisinger Anna , Brücher Viktoria C. , Krepler Katharina , Liekfeld Anja 
Published: December 2024

Zusammenfassung
Obwohl mittlerweile über 2 Drittel der Medizinstudent:innen weiblich sind, sind Frauen in medizinischen Führungsrollen weiterhin deutlich unterrepräsentiert, so auch in der Augenheilkunde. Der wissenschaftliche Output von Ophthalmologinnen nimmt zu, und zwar deutlicher bei der Erstautorenschaft als bei der Letztautorenschaft, liegt aber unter dem der männlichen Kollegen, wobei ein Gender Bias in der Vergabe von Drittmitteln gezeigt wurde. In der Chirurgie wurde gezeigt, dass es signifikant mehr männliche Chirurgen in der vitreoretinalen, refraktiven und Hornhautchirurgie gibt. Für die chirurgische Ausbildung wurde gezeigt, dass Ärztinnen in Weiterbildung generell weniger Operationen durchführen und diese auch seltener selbstständig als ihre männlichen Kollegen. Auch unter Chirurginnen übernehmen die Frauen weiterhin mehrheitlich die Hauptverantwortung für Familie und Haushalt, auch wenn sie selbst merken, dass dies ihrer Karriere schadet. Diese Übersichtsarbeit ist eine Bestandsaufnahme der derzeitigen Karrieresituation von Frauen in der Ophthalmologie und zeigt mögliche Maßnahmen zum Erreichen von Geschlechtergleichheit auf, wie die Etablierung von Mentor:innen-Programmen und Netzwerken.
Conley Index for Multivalued Maps on Finite Topological Spaces
Authors: Barmak Jonathan , Mrozek Marian , Wanner Thomas 
Published: December 2024

AbstractWe develop Conley’s theory for multivalued maps on finite topological spaces. More precisely, for discrete-time dynamical systems generated by the iteration of a multivalued map which satisfies appropriate regularity conditions, we establish the notions of isolated invariant sets and index pairs, and use them to introduce a well-defined Conley index. In addition, we verify some of its fundamental properties such as the Ważewski property and continuation.
Physiological and Pathological Role of mTOR Signaling in Astrocytes
Authors: Hochmuth Luise , Hirrlinger Johannes 
Published: December 2024

Abstract
The mammalian target of rapamycin (mTOR) signaling pathway is one of the key regulators of cellular energy metabolism. It senses diverse alterations in the extracellular environment such as availability of nutrients and growth factors, and mediates the corresponding intracellular response. In the brain, astrocytes crucially contribute to energy and neurotransmitter metabolism, and numerous other functions. However, the relevance of physiological, astrocytic mTOR signaling in maintaining brain homeostasis and function is not well understood. Pathophysiological mTOR signaling is involved in manifold diseases in the central nervous system and most of the knowledge about astrocytic mTOR signaling has been derived from observations on these disorders. Dysregulation of the mTOR signaling pathway impairs important functions of astrocytes including neurotransmitter uptake and -signaling as well as energy metabolism. Some of these alterations could trigger neuropathological conditions such as epilepsy. This review focuses on how mTOR signaling regulates properties of astrocytes, and how these signaling events might contribute to the physiological function of the brain.
A broad variety account of infantile need-experiences
Authors: Yli-Tepsa Hermanni 
Published: December 2024

AbstractThe article argues that young infants’ felt needs are articulated and discernible experiences. So, instead of undifferentiated feelings, young infants have some sort of variety of need-experiences. In the article, infantile needs are specified as feelings of dissatisfaction. The article argues against the view that instances of dissatisfying feelings would be initially experienced by the infants as undifferentiated feelings of discomfort despite corresponding to a variety of observable behaviors and postures (related to, for instance, hunger, thirst, restlessness, or seeking attachment). Two arguments are brought forth in the article. The embodiment argument claims that feelings of dissatisfaction must be thought as embodied experiences. The experiential sense of these feelings involves as a constituent part a proprioceptive sense of one’s body. As embodied experiences, then, these feelings are specific and varying. The ontogenetic argument suggests that the development of the feelings of dissatisfaction issued by care-interventions can be better understood, if these feelings entail a sort of rudimentary experiential organization from the start. Thus, the article suggests that there is no “single general-purpose model” of the infant’s need-experiences, as some emotion theorists suggest with respect to emotions. This has implications with respect to developmental theories which account for young infants’ experiences of needs and their satisfaction, such as that of Donald Winnicott.
Identifying crowdfunding storytellers who deliver successful projects: a machine learning approach
Authors: Pourroostaei Ardakani Saeid , Hu Jianwei , Zhang Jing , Jin Kaifeng , Cai Tianhong , Graham Bellotti Anthony , Hua Xiuping 
Published: December 2024

AbstractCrowdfunding plays a key role in financial technology to provide individuals and enterprises with funding opportunities to establish start-ups and/or new business ventures. It is mainly used to link projects’ creators and backers, collect money and plan fundraising projects via social networks. This paper proposes a machine learning-enabled approach to analyse Kickstarter numerical and textual data and predict the successful funding and delivery of crowdfunding projects. It offers crowdfunding stakeholders benefits including creator credibility assessment, project risk reduction, and backer confidence enhancement. This research proposes a data preprocessing approach to prepare the dataset and extract the relevant features for the predictions. Besides, it trains and compares five numerical machine learning classification models and three text-mining methods to find the best-fitted numerical and textual analysis approaches. According to the results, the proposed SVM model outperforms the numerical benchmarks in terms of Accuracy, Precision, Recall, F1 score, and model Training latency. Moreover, BERT gives the best results if the dataset is complex, while Word2vec works better with simple features in textual analysis.
Dynamic tax evasion and growth with heterogeneous agents
Authors: Menoncin Francesco , Modena Andrea 
Published: December 2024

AbstractWe develop a tractable model economy in which public capital improves aggregate productivity, and the taxpayers have heterogeneous evasion opportunities. By issuing bonds, compliant taxpayers supply the evaders with an instrument to hedge against auditing risks, thereby expanding their evasion capacity. The wealth share of tax evaders relates negatively to the economy’s productivity but has a hump-shaped relationship with the growth rate of aggregate capital. The fiscal policy that maximizes welfare differs from the one that maximizes tax revenues because the latter does not account for the redistribution of wealth (and risk) between compliant and evasive taxpayers.
Nanoscience or Nanosciences? - The Interdisciplinary Discipline
Authors: Fuhrmann-Lieker Thomas 
Published: December 2024

AbstractIn this article, we question whether nanoscience has already matured into a single discipline or whether it retains the character of an interdisciplinary endeavour, involving the natural sciences as well as technology. In search for an answer, the traits of disciplines according to William Bechtel are considered. Arguments in favour of using 'nanoscience', as a singular, or 'nanosciences', as a plural, are elucidated. In terms of objects of study, nanoscience is compared with colloid science. Cognitive abilities are traced back to the parent natural sciences. Finally, in the field of social and institutional organizations, it seems that nanoscience cannot yet compete with traditional disciplines. In future the question about the disciplinary character of nanoscience has to be solved mainly on a sociological level.
Wächst jetzt wieder zusammen, was zusammengehört? Die Entwicklung der identifikativen Akkulturation in der ostdeutschen Bevölkerung von 1991 bis 2016
Authors: Becker Rolf 
Published: December 2024

Zusammenfassung
In diesem Beitrag wird für die Zeit nach dem Zusammenbruch der DDR und dem abrupten Systemwechsel die Entwicklung der Sozialintegration im Sinne einer identifikativen Akkulturation in der ostdeutschen Bevölkerung untersucht. Unter Heranziehen des Akkulturationsansatzes von Berry steht der perioden- und kohortenspezifische Wandel der Akkulturationsmodi im Fokus. Mittels der Daten der Allgemeinen Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS) für die Jahre 1991, 2000, 2008 und 2016 sowie ergänzender Daten einer anderen Studie für die Jahre 1992 und 1993 kann für Ostdeutsche gezeigt werden, dass die soziale und emotional gefärbte Verbundenheit mit der DDR und ihren Bürgern nachlässt und sich immer mehr Ostdeutsche mit dem vereinten Deutschland identifizieren. Folglich nahmen in der historischen Zeit die inkludierenden Strategien (Assimilation und Mehrfachintegration) zu, während die exkludierenden Akkulturationsmodi (Separation oder Marginalisierung) an Bedeutung verloren haben. In der Kohortenabfolge wird ersichtlich, dass die jüngeren Geburtskohorten eher Assimilation und Marginalisierung präferieren als die älteren Kohorten. Individuelle Gewinne und Zufriedenheit mit den sozialen Ordnungen fördern Inklusion im Sinne von Berry (1997), während Statusängste und Unzufriedenheit die Exklusion forcieren. Insgesamt hat sich die Übertragung des Akkulturationsansatzes auf die ostdeutsche Bevölkerung im Transformationsprozess theoretisch und empirisch bewährt.
Traces of Vanishing Hölder Spaces
Authors: Mohanta Kaushik , Mudarra Carlos , Oikari Tuomas 
Published: December 2024

Abstract
For an arbitrary subset

$$E\subset \mathbb {R}^n,$$

E
⊂

R

n

,

we introduce and study the three vanishing subspaces of the Hölder space

$$\dot{C}^{0,\omega }(E)$$

C
˙

0
,
ω

(
E
)

consisting of those functions for which the ratio

$$|f(x)-f(y)|/\omega (|x-y|)$$

|
f
(
x
)
-
f
(
y
)
|
/
ω
(
|
x
-
y
|
)

vanishes, when (1)

$$|x-y|\rightarrow 0$$

|
x
-
y
|
→
0

, (2)

$$|x-y|\rightarrow \infty $$

|
x
-
y
|
→
∞

or (3)

$$\min (|x|,|y|)\rightarrow \infty $$

min
(
|
x
|
,
|
y
|
)
→
∞

. We prove that the Whitney extension operator maps each of these vanishing subspaces from E to the corresponding vanishing spaces defined on the whole ambient space

$$\mathbb {R}^n$$

R

n

. In fact, this follows as the zeroth order special case of a more general problem involving higher order derivatives. As a consequence, we obtain complete characterizations of approximability of Hölder functions

$$\dot{C}^{0,\omega }(E)$$

C
˙

0
,
ω

(
E
)

by Lipschitz and boundedly supported functions.
Holomorphic Legendrian Curves in Convex Domains
Authors: Svetina Andrej 
Published: December 2024

Abstract
We prove several results on approximation and interpolation of holomorphic Legendrian curves in convex domains in

$$\mathbb {C}^{2n+1}$$

C

2
n
+
1

,

$$n \ge 2$$

n
≥
2

, with the standard contact structure. Namely, we show that such a curve, defined on a compact bordered Riemann surface M, whose image lies in the interior of a convex domain

$$\mathscr {D}\subset \mathbb {C}^{2n+1}$$

D
⊂

C

2
n
+
1

, may be approximated uniformly on compacts in the interior

$${{\,\textrm{Int}\,}}M$$

Int

M

by holomorphic Legendrian curves

$${{\,\textrm{Int}\,}}M \rightarrow \mathscr {D}$$

Int

M
→
D

such that the approximants are proper, complete, agree with the starting curve on a given finite set in

$${{\,\textrm{Int}\,}}M$$

Int

M

to a given finite order, and hit a specified diverging discrete set in the convex domain. We first show approximation of this kind on bounded strongly convex domains and then generalise it to arbitrary convex domains. As a consequence we show that any compact bordered Riemann surface properly embeds into a convex domain as a complete curve under a suitable geometric condition on the boundary of the codomain.
Beyond Huntington’s Disease – Late-Onset Chorea Caused by a Homozygous Variant in ERCC4
Authors: Barthel Paula C. , Popa Bertrand , Ebert Anne , Mohamed Sherif A. , Weishaupt Jochen , Conrad Julian 
Published: December 2024

Abstract
Genetic alterations in the ERCC4 gene typically cause Xeroderma pigmentosum and other nucleotide excision repair disorders. Neurologic symptoms are present in some of these patients. In rare cases, ERCC4-mutations can manifest with prominent neurologic symptoms. We report a 62-year-old woman who presented with a movement disorder caused by a homozygous pathogenic variant in the ERCC4 gene. She presented with a hyperkinetic movement disorder (chorea) that affected the distal limbs as well as facial muscles and jaw. There was no ataxia. Extensive clinical evaluation revealed predominantly fronto-parietal and cerebellar atrophy on brain MRI with sparing of the basal ganglia and mesial temporal lobe. Iron and sparse Ca2+ deposits were found in the basal ganglia. The detailed neuropsychological evaluation revealed deficits indicating subcortical-prefrontal, subcortical-parietal and frontotemporal dysfunction, without significant impairments in activities of daily living. The audiogram revealed mild age-related hearing impairment, electroneurography was unremarkable without signs of polyneuropathy. The dermatologic examination showed no signs of skin cancer. Knowledge about ERCC4-related neurodegeneration is limited and the disease is likely underdiagnosed. Nucleotide Excision Repair Disorder-related neurodegeneration should be considered as a differential diagnosis in patients with adult-onset neurodegenerative disorders, even if dermatologic complications are absent and the family history is negative. The preserved caudate volume in our ERCC4 patient could be a hint towards this rare condition. Treatment is symptomatic. Once the diagnosis is established, patients need to be advised to have regular medical consultations to prevent disease complications such as skin cancer.
Unlocking Novel Functionality: Pseudocapacitive Sensing in MXene-Based Flexible Supercapacitors
Authors: Kim Eunji , Kim Seongbeen , Jin Hyeong Min , Kim Gyungtae , Ha Hwi-Heon , Choi Yunhui , Min Kyoungha , Cho Su-Ho , Han Hee , Ahn Chi Won , Roh Jaewoo , Oh Il-Kwon , Lee Jinwoo , Lee Yonghee 
Published: December 2024

AbstractExtensively explored for their distinctive pseudocapacitance characteristics, MXenes, a distinguished group of 2D materials, have led to remarkable achievements, particularly in the realm of energy storage devices. This work presents an innovative Pseudocapacitive Sensor. The key lies in switching the energy storage kinetics from pseudocapacitor to electrical double layer capacitor by employing the change of local pH (-log[H+]) in MXene-based flexible supercapacitors during bending. Pseudocapacitive sensing is observed in acidic electrolyte but absent in neutral electrolyte. Applied shearing during bending causes liquid-crystalline MXene sheets to increase in their degree of anisotropic alignment. With blocking of H+ mobility due to the higher diffusion barrier, local pH increases. The electrochemical energy storage kinetics transits from Faradaic chemical protonation (intercalation) to non-Faradaic physical adsorption. We utilize the phenomenon of capacitance change due to shifting energy storage kinetics for strain sensing purposes. The developed highly sensitive Pseudocapacitive Sensors feature a remarkable gauge factor (GF) of approximately 1200, far surpassing conventional strain sensors (GF: ~ 1 for dielectric-cap sensor). The introduction of the Pseudocapacitive Sensor represents a paradigm shift, expanding the application of pseudocapacitance from being solely confined to energy devices to the realm of multifunctional electronics. This technological leap enriches our understanding of the pseudocapacitance mechanism of MXenes, and will drive innovation in cutting-edge technology areas, including advanced robotics, implantable biomedical devices, and health monitoring systems.
Neuro-Fuzzy Logic for Automatic Animation Scene Generation in Movie Arts in Digital Media Technology
Authors: Peng Liu 
Published: December 2024

AbstractAnimation scene generation (ASG) is the best digital media tool for lifelike scenes, particularly for movies. Traditional animation methods are laborious, computationally intensive, and scalable. Thus, this work addresses animation production issues using NFL-ASG. Combining fuzzy logic with a convolution neural network may create more realistic animated situations with less human interaction and better learning. Convolutional model training uses animation scenarios’ complicated motion patterns, character interactions, and ambient factors. Deep learning and fuzzy logic might change animation by boosting production techniques and releasing digital media technological creativity. After testing the system on the Moana Island scene dataset, it achieved a perception analysis success rate of 0.981% and a minimal processing complexity of (n logn).
Labor market reintegration strategies of Albanian return migrants from Greece
Authors: Xhaho Armela , Bailey Ajay , Çaro Erka 
Published: December 2024

AbstractFor many migrants, returning to their country of origin is an important turning point in their migration trajectory. However, whether reverse migration proves successful depends largely on whether returnees are again able to participate in the social, economic, cultural, and political life of their country of origin. This paper draws on 37 biographical interviews conducted with Albanian returnees in three different geographical areas of Albania: Fier, Tirana, and Voskopoja. It aims to capture the diverse strategies the return migrants employed in navigating the labor market upon their return. We examine how the social and human capital the returnees accumulated while abroad shaped their patterns of reintegration into the labor market. We find that the returnees’ social capital in the form of social relationships and their human capital in the form of work experience influenced their entrepreneurial activities in their home country. Moreover, we observe that some of the returnees who were able to capitalize on their migration experiences in their host country introduced a new work culture and new products to their home country and offered better quality work than their local competitors. Our findings further indicate that while the returnees’ social networks improved their economic prospects, the levels of trust and social responsibility in these networks enabled them to develop and expand their business activities.