bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotion classification of Indonesian Tweets using Bidirectional LSTM
Authors: Glenn Aaron , LaCasse Phillip , Cox Bruce 
Published: February 2023

AbstractEmotion classification can be a powerful tool to derive narratives from social media data. Traditional machine learning models that perform emotion classification on Indonesian Twitter data exist but rely on closed-source features. Recurrent neural networks can meet or exceed the performance of state-of-the-art traditional machine learning techniques using exclusively open-source data and models. Specifically, these results show that recurrent neural network variants can produce more than an 8% gain in accuracy in comparison with logistic regression and SVM techniques and a 15% gain over random forest when using FastText embeddings. This research found a statistical significance in the performance of a single-layer bidirectional long short-term memory model over a two-layer stacked bidirectional long short-term memory model. This research also found that a single-layer bidirectional long short-term memory recurrent neural network met the performance of a state-of-the-art logistic regression model with supplemental closed-source features from a study by Saputri et al. [8] when classifying the emotion of Indonesian tweets.
Versorgung des intakten abdominellen Aortenaneurysmas (AAA) 2020/2021
Authors: Schmitz-Rixen Thomas , Löffler Ann-Kathrin , Steinbauer Markus , Grundmann Reinhart T. 
Published: February 2023

Zusammenfassung
Zielsetzung
Die Daten für die Jahre 2020 und 2021 des Registers des Deutschen Instituts für Gefäßmedizinische Gesundheitsforschung (DIGG) der Deutschen Gesellschaft für Gefäßchirurgie und Gefäßmedizin zur Versorgung der intakten abdominellen Aortenaneurysmen (iAAA) werden vorgestellt.

Methodik
An dem Register beteiligten sich für die Eingriffe bei iAAA im Jahr 2020 insgesamt 148 und im Jahr 2021 insgesamt 156 gefäßchirurgische Kliniken. Zur Auswertung kamen die Daten von 3023 Patienten für das Jahr 2020 und 3312 Patienten für das Jahr 2021.

Ergebnisse
Von insgesamt 6335 Patienten wurden 4990 (78,8 %) endovaskulär (EVAR) und 1345 (21,2 %) offen (OR) versorgt. Bei EVAR verstarben insgesamt 56 Patienten (1,0 %) bis zur Entlassung, bei OR waren es 66 (4,9 %) Patienten. Bei den endovaskulär versorgten iAAA-Patienten verlief der Eingriff bei 4306/4990 (86,3 %) der Fälle komplikationslos, bei OR waren es 903/1345 (67,1 %) komplikationslose Eingriffe. Frauen wiesen bei EVAR eine Klinikletalität von 2,5 % (16/647), Männer von 0,9 % (40/4343) auf (p = 0,002). Bei OR betrug die Klinikletalität der Frauen 5,2 % (12/232), die der Männer 4,9 % (54/1113) (p = 0,735). Speziell Patienten über 80 Jahre profitierten von dem endovaskulären Vorgehen, ihre Klinikletalität machte bei EVAR lediglich 1,8 % (22/1247), bei OR hingegen 8,9 % (11/123) aus (p < 0,001). Von insgesamt 6333 iAAA waren 5531 infrarenal (87,3 %) und 802 (12,7 %) juxtarenal gelegen. Bei EVAR war die Klinikletalität bei Versorgung juxtarenaler AAA mit 14/422 (3,3 %) signifikant höher als bei Versorgung infrarenaler AAA mit 42/4566 (0,9 %) (p < 0,001). Die Klinikletalität bei offener Versorgung der juxtarenalen AAA machte 31/380 (8,2 %) aus und war damit signifikant höher (p < 0,002) als bei offener Versorgung der infrarenalen AAA mit 35/965 (3,6 %).

Schlussfolgerung
Die Ergebnisse der Jahre 2020/2021 zu Klinikletalität und Morbidität bei endovaskulärer und offener Versorgung des iAAA bestätigen weitgehend die publizierten Ergebnisse für die Jahre 2013 bis 2019. Sowohl bei Versorgung juxtarenaler als auch Versorgung infrarenaler iAAA war die Klinikletalität bei EVAR geringer als bei OR.
Brezeln und Elektrokatzen als Distinktionssymbole?
Authors: Kerle Anja , Schäfer Philipp 
Published: February 2023

ZusammenfassungDiskriminierung aufgrund von Armut und sozialer Herkunft wird momentan prominent diskutiert. In diesem Zusammenhang arbeiten eine Vielzahl von Autor_innen mit dem Begriff des Klassismus, um dieses soziale bzw. gesellschaftliche Phänomen zu beschreiben und zu analysieren. Doch sind empirische Arbeiten hierzu erst im Entstehen und eine klare Beschreibung bzw. Deutungsangebote, was als klassistisch benannt werden kann, zeigt sich bisweilen schwierig. Im Beitrag diskutieren wir anhand empirischer Beispiele und entlang theoretischer Überlegungen Pierre Bourdieus Klassismus(-deutungen) in kindheitspädagogischen Settings. Die im empirischen Material aufgetauchten Figuren von Kulturgütern (Brezel und elektronisches Spielzeug) zeigen die Vielschichtigkeit und Komplexität von Klassismus in der pädagogischen Praxis. Ausgehend davon plädieren wir für eine differenzierte (Forschungs‑)Perspektive, die Klassismus als Interaktions- und Strukturkategorie versteht und neben der Hervorbringung von klassistischen Zuschreibungen und Positionierungen im alltäglichen Vollzug die Klassenposition von Pädagog_innen, Sorgenden und Forschenden beachtet.
Measurement Invariance Across Sex and Language Background of a Self-Report Social-Emotional Learning Questionnaire for Middle Childhood
Authors: Carpendale Emma J. , Green Melissa J. , Williams Kate E. , Tzoumakis Stacy , Carr Vaughan J. , Laurens Kristin R. 
Published: February 2023

AbstractThis study investigates the measurement invariance of a brief self-report measure of childhood social-emotional competencies, the Middle Childhood Survey: Social-Emotional Learning (MCS-SEL), across demographic subgroups. Invariance was tested simultaneously among subgroups of children aged 11–12 years that were differentiated by sex (male, female) and main language spoken at home (English, not English). Multi-group confirmatory factor analysis evaluated structural and item-level invariance using two random, independent samples of 2,000 students (500 per demographic strata) selected by disproportionate sampling from the New South Wales Child Development Study (NSW-CDS) population cohort. The measure achieved full configural, metric, scalar, and residual invariance across all demographic subgroups, validating its utility for assessing middle childhood social-emotional competencies at a population-level.
Fabrication of Glass/Jute Hybrid Composite over Wrapped Aluminum Cylinders: An Advanced Material for Automotive Applications
Authors: El-baky Marwa A. Abd , Allah Mahmoud M. Awd , Kamel Madeha , Abdel-Aziem Walaa 
Published: February 2023

AbstractAs a class of promising cost-effective lightweight structures, metal-composite hybrids have rapidly emerged in automotive industry largely attributable to their outstanding multifunctional and crashworthy characteristics. The aim of this study is to investigate the potentiality of metal-composite cylinders for crash energy absorption applications. In this context, the crashworthiness performance, and the deformation history of jute (J)/glass (G) reinforced epoxy hybrid composite over wrapped aluminum (Al) cylinders were experimentally studied under quasi-static axial loading. Crashworthiness characteristics of the proposed cylinders were evaluated by measuring the average and peak crushing loads ($${\mathrm{F}}_{\mathrm{avg}}$$

F
avg

, $${\mathrm{F}}_{\mathrm{ip}}$$

F
ip

), specific energy absorption ($$\mathrm{SEA}$$
SEA
), total absorbed energy ($$\mathrm{U})$$

U
)

, and crush force efficiency ($$\mathrm{CFE}$$
CFE
). The influence of the number of J-layers on the deformation profiles has also been defined. Result revealed that the highest ($${\mathrm{F}}_{\mathrm{ip}}$$

F
ip

), ($${\mathrm{F}}_{\mathrm{avg}})$$

F
avg

)

, and ($$\mathrm{SEA}$$
SEA
) noted for Al-3G-2 J-3G with values of 85.45 kN, 53.14 kN, and 39.99 J/g, respectively. The maximum ($$\mathrm{U}$$
U
) was documented for Al-8G with a value of 3535.89 J. The highest $$(\mathrm{CFE})$$

(
CFE
)

was recorded for Al-2G-4 J-2G followed by Al-3G-2 J-3G with a value of 0.65 and 0.62, respectively. Al-3G-2 J-3G cylinders exhibit excellent energy-absorbing capacity and could be applied as energy-absorbing crashworthiness structures in automotive applications.
Comprehensive Profiling of Secreted Factors in the Cerebrospinal Fluid of Moyamoya Disease Patients
Authors: Abhinav Kumar , Lee Alex G. , Pendharkar Arjun V. , Bigder Mark , Bet Anthony , Rosenberg-Hasson Yael , Cheng Michelle Y. , Steinberg Gary K. 
Published: February 2023

AbstractMoyamoya disease (MMD) is characterized by progressive occlusion of the intracranial internal carotid arteries, leading to ischemic and hemorrhagic events. Significant clinical differences exist between ischemic and hemorrhagic MMD. To understand the molecular profiles in the cerebrospinal fluid (CSF) of MMD patients, we investigated 62 secreted factors in both MMD subtypes (ischemic and hemorrhagic) and examined their relationship with preoperative perfusion status, the extent of postoperative angiographic revascularization, and functional outcomes. Intraoperative CSF was collected from 32 control and 71 MMD patients (37 ischemic and 34 hemorrhagic). Multiplex Luminex assay analysis showed that 41 molecules were significantly elevated in both MMD subtypes when compared to controls, including platelet-derived growth factor-BB (PDGF-BB), plasminogen activator inhibitor 1 (PAI-1), and intercellular adhesion molecule 1 (ICAM1) (p < 0.001). Many of these secreted proteins have not been previously reported in MMD, including interleukins (IL-2, IL-4, IL-5, IL-7, IL-8, IL-9, IL-17, IL-18, IL-22, and IL-23) and C-X-C motif chemokines (CXCL1 and CXCL9). Pathway analysis indicated that both MMD subtypes exhibited similar cellular/molecular functions and pathways, including cellular activation, migration, and inflammatory response. While neuroinflammation and dendritic cell pathways were activated in MMD patients, lipid signaling pathways involving nuclear receptors, peroxisome proliferator-activated receptor (PPAR), and liver X receptors (LXR)/retinoid X receptors (RXR) signaling were inhibited. IL-13 and IL-2 were negatively correlated with preoperative cerebral perfusion status, while 7 factors were positively correlated with the extent of postoperative revascularization. These elevated cytokines, chemokines, and growth factors in CSF may contribute to the pathogenesis of MMD and represent potential future therapeutic targets.
Nuclear energy: Twitter data mining for social listening analysis
Authors: Zarrabeitia-Bilbao Enara , Jaca-Madariaga Maite , Rio-Belver Rosa María , Álvarez-Meaza Izaskun 
Published: February 2023

AbstractKnowing the presence, attitude and sentiment of society is important to promote policies and actions that influence the development of different energy sources and even more so in the case of an energy source such as nuclear, which has not been without controversy in recent years. The purpose of this paper was to conduct a social listening analysis of nuclear energy using Twitter data mining. A total of 3,709,417 global tweets were analyzed through the interactions and emotions of Twitter users throughout a crucial year: 6 months before and 6 months after the beginning of Russian invasion of Ukraine and the first attack on the Zaporizhzhia NPP. The research uses a novel approach to combine social network analysis methods with the application of artificial neural network models. The results reveal the digital conversation is influenced by the Russian invasion of Ukraine. However, tweets containing personal opinions of influential people also manage to enter the digital conversation, defining the magnitude and direction of the debate. The digital conversation is not constructed as a public argument. Generally, it is a conversation with non-polarized communities (politics, business, science and media); neither armed conflict or military threats against Zaporizhzhia NPP succeed in rousing anti-nuclear voices, even though these events do modify the orientation of the sentiment in the language used, making it more negative.
Bilingual children acquiring Russian and German in Vienna: nonword repetition correlates with stronger but not with weaker language
Authors: Eisenwort Brigitte , Tilis Maksim , Schmid Carolin , Diendorfer-Radner Gabriela 
Published: February 2023

Summary
Purpose
Nonword repetition tests (NWRT) can be useful tools together with other assessment procedures for diagnosing a developmental learning disorder in bilingual children. Concerning typically developing children, however, the link between NWRT performance and language development is still unclear. The present study contributes to this discussion by investigating the link between language-dependent NWRT performance, language development, and language exposure.

Methods
A total of 20 simultaneously bilingual Russian–German children, aged 4–6 years, were tested with “The Russian language proficiency test for multilingual children (SRUK)” and “Patholinguistische Diagnostik bei Sprachentwicklungsstörungen (PDSS)” as well as language-specific nonwords for Russian and German.

Results
Most children scored within the mean range in SRUK. In PDSS they scored two standard deviations below the mean range in most of the subtests. NWRT in Russian significantly correlated with the NWRT in German and also positively correlated with both comprehension and production in Russian. In contrast, the German NWRT did not correlate with comprehension or with production in German. Moreover, the correlation between the German NWRT and the comprehension of grammatical structures in Russian was significant, and the correlations between the German NWRT and the two other Russian language development tests just failed to reach significance.

Conclusion
High scores in both the Russian and the German NWRT offer evidence that the ability to repeat language-specific nonwords does not differ depending on language exposure. The aim to distinguish between typical and atypical language development based on NWRT can be reached only when NWRT and all possible influencing factors in typically developed children are analyzed.
Simulation based testing and performance investigation of induction motor drives using matlab simulink
Authors: Makinde Kehinde Adeleye , Bakare Mutiu Shola , Akinloye Benjamin Olabisi , Amole Abraham Olatide , Adewuyi Oludamilare Bode , Zubair Uthman Oluwatosin , Owonikoko Waheed Olaide 
Published: February 2023

Abstract
Induction motors (IMs) are the most widely employed electrical motors due to their robust construction and adaptability. Due to their versatility and wide range of applications, it is crucial to examine the performance of these motors using a simple but thorough simulation model. In this study, we present the simulation models to conduct the DC test, the no-load test, and the locked rotor test on a three-phase induction motor using MATLAB/Simulink. These three tests are fundamental to determining the characteristics of a three-phase induction motor equivalent circuit. Furthermore, the authors extend the model to determine the starting current, starting torque, and breakdown torque of the motors under inquiry. The research further employs the right code in the MATLAB environment to ascertain the motors' torque-speed and current-speed properties. The results of the simulations are found to closely match the values achieved in real trials. Hence, this model can be employed to enhance teaching and research in the field of electrical machinery.

Article Highlights

This paper explains a computerized procedure employing MATLAB software to carry out vital tests on induction motors. The research shows that using the methods described in this paper, induction motors can be safely tested for their operating characteristics.

The benefit of the computerized methodology described in this paper is that it provides a modelling tool and methodology to expand research on induction motors with high accuracy and reliability.

The numerical method developed in this article is a suitable tool in teaching and education.

Beyond the three common tests (dc test, no-load test and locked rotor test) to determine the equivalent circuit of induction motors, this paper further extends the research to use the simulation models to determine the starting current, starting torque and the breakdown torque of an induction motor as well as its torque-speed and current-speed characteristics.
Development of power transmission line detection technology based on unmanned aerial vehicle image vision
Authors: Xu Baoyu , Zhao Yilin , Wang Tao , Chen Qingning 
Published: February 2023

AbstractThe unmanned aerial vehicle (UAV) technology provides a new option for power transmission line inspection. The cost of the UAV detection process is relatively low, and it is flexible and extensible. In order to ensure the safety and stability of power supply in the current large and complex power grid system, UAV detection with image recognition technology has become an urgent need for the development of the current power system. Herein, we review the development of this field in detail. Different from the previous simple discussion on UAV power line inspection technology, this work not only systematically summarizes the UAV power line detection platform and its system structure, but also discusses the image recognition technology based on UAV data. Further, we focus on the fundamental process and development of power line image processing technology based on depth learning, hoping to contribute a systematic reference to the field of power line inspection based on UAV image vision.
Business intelligence model empowering SMEs to make better decisions and enhance their competitive advantage
Authors: Ragazou Konstantina , Passas Ioannis , Garefalakis Alexandros , Zopounidis Constantin 
Published: February 2023

AbstractSmall and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure to SMEs that emerging technologies will not affect them negatively is crucial. Thus, this research proposes the development of a new business model that will be based on Business Intelligence and Technology–organization–environment framework (TOE) framework, which helps SMEs to feel safe with emerging technologies.
The implementation of a public health alcohol policy in Ireland
Authors: Barry J. , Lyne J. 
Published: February 2023

AbstractIn 2012, the Irish Department of Health published a strategy in relation to alcohol and flagged that a Public Health (Alcohol) Act would be pursued through the Houses of the Oireachtas. This Public Health (Alcohol) Act was intended to reduce alcohol consumption and the harms caused by the misuse of alcohol. The act includes various means for this purpose, including introducing statutory minimum prices on alcohol, restricting alcohol advertising, addition of warning labels to alcohol products, and reducing the visibility of alcohol products in retail outlets. This perspective piece aims to provide an account of how this public health alcohol policy has been implemented in Ireland. The strategy relied in a major way on the World Health Organisation framework for alcohol policy. It took 3 years from the launch of that strategy to get the Public Health (Alcohol) Bill published, in December 2015. It took almost another 3 years to get the Public Health (Alcohol) Act passed by the Houses of the Oireachtas, in October 2018. The Act was signed into law by the President of Ireland in November 2018, and it’s implementation has commenced in the last few years. This perspective piece highlights the complexities and challenges of implementing legislation related to public health policy, but also demonstrates that real action can occur with advocacy from public health clinicians and key stakeholders.
Kantian Objectivism and Subject-Relative Well-Being
Authors: Ginther Logan 
Published: February 2023

AbstractWhen discussing well-being, subject-relative concerns are intuitively important ones. In this article, I argue that Immanuel Kant's theory of well-being can be satisfactorily subject-relative, despite his emphasis on objective moral well-being. Because the specifics of agents’ situations affect agents’ moral endowments, duties regarding moral well-being can be altered for subject-relative reasons. When it comes to thinking about the well-being of others, the important Kantian notion of respect for rational agents ensures that this will be decidedly subject-relative, too, and, what is more, that this will be aimed specifically at natural well-being (happiness).
The Gallows Alien: Extending the Concept <Person> to Non-Human Organisms
Authors: Hamblin-Yule Caitlin 
Published: February 2023

AbstractImmanuel Kant maintained throughout his life that non-human persons likely exist but he failed to specify how we could recognise them. In this article, I argue (a) that non-human organisms can be considered non-human persons if they can be judged as belonging to a species with a moral vocation, and (b) a species can be judged as having a moral vocation if at least one of its members is able to make what I will call a “moral sacrifice” in which that member sacrifices its physical life for the sake of its moral life.
WOMAN: An Essentially Contested Concept
Authors: Mohan Madhavi 
Published: February 2023

AbstractThe literature on the metaphysics of gender is partially marked by a tension between conceptions that understand gender categories as importantly at least partly self-determined identities and those that understand them as social or cultural categories imposed upon others as a tool of oppression. I argue that this tension can be mediated by understanding gender categories as essentially contested. I then draw on “radical functionalism” to argue that, while, divorced of context, competing conceptions can simultaneously explicate an essentially contested concept, within context, some conceptions better meet background purposes underlying the use of the concept than others.