bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bedingungslose Inklusion?
Authors: Hopmann Benedikt 
Published: February 2024

ZusammenfassungBisherige Entwürfe einer bedingungslosen Kinder- und Jugendhilfe nehmen die bestehenden Praxen der Bedürftigkeitsprüfung in den erzieherischen Hilfen zum Ausgangspunkt, um die damit einhergehenden Stigmatisierungseffekte und Defizitunterstellungen zu kritisieren. Im Zentrum dieser Kritik steht die Bedarfskategorie des ‚erzieherischen Bedarfs‘, wonach der Rechtsanspruch auf Hilfen zur Erziehung bislang zwingend an eine als defizitär klassifizierte Elternschaft sowie eine beschädigte Identität geknüpft ist. Dieser Befund ist Teil einer Strukturkritik des bestehenden Kinder- und Jugendhilfesystems und resultiert schließlich in dem Votum, den Zugang zu Leistungen der Kinder- und Jugendhilfe zukünftig – und dies adressiert insbesondere die erzieherischen Hilfen – ohne Bedürftigkeitsprüfung und somit bedingungslos zu ermöglichen (Schrödter 2020). Neben einigen weiteren offenen Fragen ist klärungsbedürftig, wie sich die Entwürfe einer bedingungslosen Kinder- und Jugendhilfe zur aktuellen Debatte um eine inklusive Kinder- und Jugendhilfe sowie hinsichtlich der Behinderungskategorie verhalten. Der Beitrag spürt der Frage nach, inwiefern eine bedingungslose Kinder- und Jugendhilfe auch zugleich bedingungslose Inklusion verspricht. Denn auf den ersten Blick scheint eine bedingungslose Kinder- und Jugendhilfe dem offenbar mit Endstigmatisierung und Dekategorisierung verbundenen Grundanliegen von Inklusion nachzukommen.
Majors unleashed: unravelling students’ personality profiles across academic disciplines
Authors: Kokkinos Constantinos M. , Antoniadou Nafsika , Voulgaridou Ioanna 
Published: February 2024

AbstractThis study utilized Latent Profile Analysis to examine the correlation between personality and academic major choice among 1825 Greek university students, using the Five Factor Model (FFM) at the facet level. Four distinct personality profiles—resilients, overcontrollers, undercontrollers, and ordinaries—were identified. Female students predominantly chose Humanities, aligning with the overcontrollers profile while males leaned towards Sciences and Health Sciencesassociated with ordinaries, undercontrollers, and resilients profiles. Additionally, major choice varied, with Humanities and Sciences often linked to ordinaries, Health Sciences to resilients, and Economics/Information and Communication Technology to undercontrollers. This study emphasizes personalized interventions based on individual personality profiles for informed academic major choices.
Examining factors influencing students to leave science classes in Cambodia: a two-level hierarchical linear modeling
Authors: Pov Sokunrith , Kawai Norimune , Chey Ratha , Khut Sokha , Nov Saovorak 
Published: February 2024

AbstractCambodian upper secondary education is divided into two tracks: science and social science. Students make their track selection in grade 10 and begin their enrollment in grade 11. The enrollment in the science track has witnessed a steep decline from 96% in 2014 to 34% in 2020, while the enrollment in the social science track has seen a remarkable surge from 4% in 2014 to 66% in 2020. This tendency poses a significant challenge to the government’s endeavors aimed at promoting workforces in science, technology, engineering, and mathematics (STEM) fields. This survey study aimed to examine factors influencing students to leave science-track classes. The survey was administered to 696 grade-12 students from 20 upper secondary schools. The two-level hierarchical linear modeling (HLM) was used for data analysis. The findings revealed that at the individual level, age, ease of national examination, high passing rates, preference for good grades, expense on private tutoring, STEM major choices at the territory level, attitudes toward science, parental advice, and family income significantly influenced students’ decision to opt for social science track over science track. At the school level, school location was a significant predictor of track choices. The findings were discussed with practical implications to improve enrollment in the science track at Cambodian upper secondary schools.
Hedonic Signals in Crowdfunding
Authors: Blohm Ivo , Schulz Moritz , Leimeister Jan Marco 
Published: February 2024

AbstractThis study draws on signaling theory to investigate the effect of hedonic signals in crowdfunding projects on funding performance. It compares the effect of hedonic signals across reward-, equity-, and donation-based crowdfunding platforms by combining archival data from 18 platforms and a large-scale panel of 64 experts that rate the strength of hedonic signals in 108 crowdfunding projects. Through the application of mixed linear modeling, the findings indicate a positive influence of stronger hedonic signals on funding performance. However, there are substantial differences across platform types. Increasing the strength of hedonic signals by one standard deviation increases funding performance by 28.9% on reward platforms, while there are no systematic effects on equity and donation platforms. This study contributes to existing crowdfunding research by clarifying the role of hedonic signals in crowdfunding and shedding light on the increasing need to better consider the characteristics of different crowdfunding platforms in crowdfunding research.
On the effects of rotor induced vibrational stability on helicopter flight dynamics
Authors: Saetti Umberto , Horn Joseph F. , Berger Tom 
Published: February 2024

AbstractThis article investigates vibrational stabilization effects in rotorcraft flight dynamics. This study is motivated by recent results in flapping-wing flight, which showed that the time-varying aerodynamic and inertial loads due to the insect wing periodic motion induce a vibrational stabilization mechanism in hover. The dynamics of flapping-wing flyers and rotary-wing vehicles are both described by time-periodic systems so vibrational stabilization mechanisms can also have an effect on stability characteristics of rotary-wing vehicles. The article extends the use of the harmonic decomposition method to vibrational stability analysis of rotorcraft. Two cases are considered: vibrational stability due blade imbalance at hover, and vibrational stability due to number-of-blades-per-rotor-revolution ($$N_b$$

N
b

/rev) in high-speed forward flight. Results show that while vibrations induced by rotor blade imbalance do not stabilize the hovering dynamics of a helicopter, these vibrations can still have a significant effect on the hovering dynamics. Rotor blade imbalance results in a symmetric effect on the roll and pitch axes, in that it tends to decrease the frequency of the subsidence modes of the hovering cubic, while the unstable oscillatory modes tend to increase in frequency and decrease in damping (destabilizing effect). On the other hand, the yaw/heave dynamics are relatively unaffected compared to the lateral and longitudinal axes. Moreover, $$N_b$$

N
b

/rev rotor loads in forward flight are shown to reduce the damping of the coupled roll/pitch oscillation mode.
Patient activation in advanced chronic kidney disease: a cross-sectional study
Authors: Lunardi Laura E. , K. Le Leu Richard , Matricciani Lisa A. , Xu Qunyan , Britton Anne , Jesudason Shilpanjali , Bennett Paul N. 
Published: February 2024

Abstract
Background
Patient activation refers to the knowledge, confidence and skills required for the management of chronic disease and is antecedent to self-management. Greater self-management in chronic kidney disease (CKD) results in improved patient experience and patient outcomes.

Aim
To examine patient activation levels in people with CKD stage 5 pre-dialysis and determine associations with sociodemographic characteristics, treatment adherence and healthcare utilisation.

Methods/design
People with CKD stage 5 not receiving dialysis from one Australian kidney care service. Patient activation was measured using the 13-item Patient Activation Measure (PAM-13). Sociodemographic and clinical outcome data (emergency department visits, admissions) were collected from medical records. Morisky Medication Adherence Scale was used to determine self-report medication adherence.

Results
Two hundred and four participants completed the study. The mean PAM-13 score was 53.4 (SD 13.8), with 73% reporting low activation levels (1 and 2). Patient activation scores significantly decreased with increased age (P < 0.001) and significantly increased with higher educational levels (P < 0.001). Higher patient activation level was associated with fewer hospital emergency department visits (P = 0.03) and increased medication adherence (P < 0.001).

Conclusion
Patient activation levels are low in people with CKD stage 5 not receiving dialysis suggesting limited ability for self-management and capacity for optimally informed decisions about their healthcare. Efforts to improve patient activation need to consider age and education level.

Graphical abstract
Evaluation of risk stratification for acute kidney injury: a comparative analysis of EKFC, 2009 and 2021 CKD-EPI glomerular filtration estimating equations
Authors: Cho Jeong Min , Koh Jung Hun , Kim Minsang , Jung Sehyun , Cho Semin , Lee Soojin , Kim Yaerim , Kim Yong Chul , Lee Hajeong , Han Seung Seok , Oh Kook-Hwan , Joo Kwon Wook , Kim Yon Su , Kim Dong Ki , Park Sehoon 
Published: February 2024

Abstract
Background
The adoption of the 2021 CKD-EPIcr equation for glomerular filtration rate (GFR) estimation provided a race-free eGFR calculation. However, the discriminative performance for AKI risk has been rarely validated. We aimed to evaluate the differences in acute kidney injury (AKI) prediction or reclassification power according to the three eGFR equations.

Methods
We performed a retrospective observational study within a tertiary hospital from 2011 to 2021. Acute kidney injury was defined according to KDIGO serum creatinine criteria. Glomerular filtration rate estimates were calculated by three GFR estimating equations: 2009 and 2021 CKD-EPIcr, and EKFC. In three equations, AKI prediction performance was evaluated with area under receiver operator curves (AUROC) and reclassification power was evaluated with net reclassification improvement analysis.

Results
A total of 187,139 individuals, including 27,447 (14.7%) AKI and 159,692 (85.3%) controls, were enrolled. In the multivariable regression prediction model, the 2009 CKD-EPIcr model (continuous eGFR model 2, 0.7583 [0.755–0.7617]) showed superior performance in AKI prediction to the 2021 CKD-EPIcr (0.7564 [0.7531–0.7597], < 0.001) or EKFC model in AUROC (0.7577 [0.7543–0.761], < 0.001). Moreover, in reclassification of AKI, the 2021 CKD-EPIcr and EKFC models showed a worse classification performance than the 2009 CKD-EPIcr model. (− 7.24 [− 8.21–− 6.21], − 2.38 [− 2.72–− 1.97]).

Conclusion
Regarding AKI risk stratification, the 2009 CKD-EPIcr equation showed better discriminative performance compared to the 2021 CKD-EPIcr equation in the study population.

Graphical abstract
A lightweight and personalized edge federated learning model
Authors: Yuan Peiyan , Shi Ling , Zhao Xiaoyan , Zhang Junna 
Published: February 2024

AbstractAs a new distributed machine learning paradigm, federated learning has gained increasing attention in the industry and research community. However, federated learning is challenging to implement on edge devices with limited resources and heterogeneous data. This study aims to realize a lightweight and personalized model through pruning and masking with insufficient resources and heterogeneous data. Particularly, the server first downloads the subnetwork to the client according to the mask, and client prunes the subnetwork with the alternating direction method of multipliers (ADMM), so as to remove the unimportant parameters and reduce the cost of training and communication. At the same time, mask is used to mark the pruning condition of the model. Then, the unpruned parts and masks of local models are transmitted to the server for aggregation. The experimental results showed that the accuracy of the proposed model was improved by 9.36%, and the communication cost was reduced by 1.45 times compared with state-of-the-art models. Last but not least, we deploy flower identification models in Android Studio to illustrate the practicality of the proposed method.
ESG-driven innovation strategy and firm performance
Authors: Cabaleiro-Cerviño Goretti , Mendi Pedro 
Published: February 2024

AbstractThis paper investigates the impact of aligning an innovation strategy with Environmental, Social, and Governance (ESG) practices on innovation and non-innovation performance variables. Drawing on principles from Stakeholder Theory and Social Network Theory of Innovation, the research hypothesizes that ESG-driven firms will outperform firms that are not ESG-driven in terms of future innovation outcomes, labor productivity, exporting and survival rates. Using the Technological Innovation Panel (PITEC) database, a panel of Spanish companies, the study compares the performance of two groups of innovative firms: firms that declare that at least one of the ESG goals are relevant for their innovation activities (ESG-driven companies) and matched firms that regard all three ESG goals as not important (non-ESG companies). Our findings reveal that ESG-driven companies exhibit a better future innovation performance and that, in terms of labor productivity, exporting, and survival their performance is never inferior than that of innovative firms that are not ESG-driven.
Two-phase oil and water flow pattern identification in vertical pipes applying long short-term memory networks
Authors: Ruiz-Díaz Carlos Mauricio , Quispe-Suarez Brayan , González-Estrada Octavio Andrés 
Published: February 2024

AbstractAccurate biphasic flow pattern recognition is essential in the design of coatings for the oil and gas sector because it enables engineers to create materials that are tailored to specific flow conditions. This results in enhanced corrosion protection, erosion resistance, flow efficiency, and overall performance of equipment and infrastructure in the challenging environments of the oil and gas industry. The development of flow maps has been based on empirical correlations that incorporate characteristics such as superficial velocities, volume fractions, and physical properties such as the density and viscosity of the analyzed substances. In addition, geometric parameters such as the inclination and the internal diameter of the pipes are considered. However, due to the difficult working conditions on offshore platforms and the limitations in monitoring internal flow patterns, technological advances have been implemented to improve this process using artificial intelligence techniques. In this context, this study proposes using a long-term memory (LSTM) recurrent neural network to predict the flow patterns generated in vertical pipes. This LSTM network was trained and validated using data obtained from a literature database. The results obtained showed that the model has a prediction error of less than 1%. These technological advances represent an important step towards optimizing the flow pattern identification process in the hydrocarbons industry. By leveraging the capabilities of artificial intelligence, more accurate and reliable forecasts can be obtained, enabling informed decisions and improving the efficiency and safety of operations.
From germline genome to highly fragmented somatic genome: genome-wide DNA rearrangement during the sexual process in ciliated protists
Authors: Lyu Liping , Zhang Xue , Gao Yunyi , Zhang Tengteng , Fu Jinyu , Stover Naomi A. , Gao Feng 
Published: February 2024

AbstractGenomes are incredibly dynamic within diverse eukaryotes and programmed genome rearrangements (PGR) play important roles in generating genomic diversity. However, genomes and chromosomes in metazoans are usually large in size which prevents our understanding of the origin and evolution of PGR. To expand our knowledge of genomic diversity and the evolutionary origin of complex genome rearrangements, we focus on ciliated protists (ciliates). Ciliates are single-celled eukaryotes with highly fragmented somatic chromosomes and massively scrambled germline genomes. PGR in ciliates occurs extensively by removing massive amounts of repetitive and selfish DNA elements found in the silent germline genome during development of the somatic genome. We report the partial germline genomes of two spirotrich ciliate species, namely Strombidium cf. sulcatum and Halteria grandinella, along with the most compact and highly fragmented somatic genome for S. cf. sulcatum. We provide the first insights into the genome rearrangements of these two species and compare these features with those of other ciliates. Our analyses reveal: (1) DNA sequence loss through evolution and during PGR in S. cf. sulcatum has combined to produce the most compact and efficient nanochromosomes observed to date; (2) the compact, transcriptome-like somatic genome in both species results from extensive removal of a relatively large number of shorter germline-specific DNA sequences; (3) long chromosome breakage site motifs are duplicated and retained in the somatic genome, revealing a complex model of chromosome fragmentation in spirotrichs; (4) gene scrambling and alternative processing are found throughout the core spirotrichs, offering unique opportunities to increase genetic diversity and regulation in this group.
New perspectives on the genetic structure of dotted gizzard shad (Konosirus punctatus) based on RAD-seq
Authors: Peng Ying , Liu Yifan , Li Jiasheng , Zhang Kun , Jin Xun , Zheng Sixu , Wang Yunpeng , Lü Zhenming , Liu Liqin , Gong Li , Liu Bingjian 
Published: February 2024

AbstractTo maintain, develop and rationally utilize marine organisms, understanding their genetic structure and habitat adaptation pattern is necessary. Konosirus punctatus, which is a commercial fish species inhabiting the Indo-west Pacific Ocean, has shown an obvious annual global capture and aquaculture production decline due to climate changes and human activities. In the present study, restriction-site associated DNA sequencing (RAD-seq) was used to describe its genome-wide single nucleotide polymorphisms panel (SNPs). Among 146 individuals collected at nine locations scattered in China, Korea and Japan, a set of 632,090 SNPs were identified. Population genetic analysis showed that K. punctatus individuals were divided into two significant genetic clusters. Meanwhile, potential genetic differentiation between northern and southern population of K. punctatus was found. Treemix results indicated that gene flow existed among sampling locations of K. punctatus, especially from southern Japan to others. Moreover, candidate genes associated with habitat adaptations of K. punctatus were identified, which are involved in diverse physiological processes of K. punctatus including growth and development (e.g., KIDINS220, PAN3), substance metabolism (e.g., PGM5) and immune response (e.g., VAV3, CCT7, HSPA12B). Our findings may aid in understanding the possible mechanisms for the population genetic structure and local adaptation of K. punctatus, which is beneficial to establish the management and conservation units of K. punctatus, guiding the rational use of resources, with reference significance for a profound understanding of the adaptative mechanisms of other marine organisms to the environment.
Anxiety immediately before endodontic treatment: cross-sectional quantitative analysis
Authors: Busatto Paloma Frigo , Baldissarelli Flávia , Pelepenko Lauter Eston , Vanni José Roberto , Fornari Volmir João , Rigo Lilian , Hartmann Mateus Silveira Martins 
Published: February 2024

Abstract
Introduction
Endodontic treatments are considered by the patients to be one of the most painful and anxiety-generating procedures and this feeling may be linked to both environmental and individual aspects. This study aimed to evaluate the degree of anxiety of patients immediately before the endodontic treatment.

Methods
The study design was a cross-sectional quantitative analysis where patient sampling was performed on those who met the inclusion criteria and needed endodontic treatment. The interview instruments for the investigation were a questionnaire with semi-structured questions, the Corah Dental Anxiety Scale, and a digital device for measurement of blood pressure and heart rate. The variables investigated were gender, age, whether the patient liked to visit the dentist, depression, whether the patient used medication for depression, systolic and diastolic pressure, and heart rate. Data statistical were analysed using descriptive statistics and to evaluate the association between variables Pearson’s chi-square tests were used with a significance level of 5%.

Results
175 patients were included in the study and categorized as little anxious (33.7%), mildly anxious (45.1%), moderately anxious (15.4%), and extremely anxious (5.7%). There was a strong association between higher degrees of anxiety and whether the patient declared not liking to visit the dentist; no other significant correlation was found.

Conclusion
Endodontic patients who claim not to like to visit the dentist are more anxious. Healthcare professionals can pursue strategies to treat these patients with anxiety reduction techniques avoiding the postponement or evasion of endodontic treatments.
Dams, hegemony and beyond: China’s hydro-stability in the evolving world order
Authors: Ganeshpandian Porkkodi 
Published: February 2024

AbstractWater has remained a source of contentious and cooperative politics among states since the Sumerian civilization. The field of hydro-politics, since its emergence in the 1990s, had taken note of dams as both a source of conflict between riparian neighbors owing to their threat to the life and property along the transboundary banks, and as a source of cooperation through effective water and knowledge sharing and infrastructural development, promoting peaceful negotiations in good faith in these matters. In this regard, the narrative and practice of infrastructural development by the great powers in their weaker riparian states to enhance their growth has emerged as a new means to increase great power states’ power and influence in the international arena. China, in its race against the United States, has emerged as the world’s largest dam builder, having extended its construction footprints across many parts of the globe. As rapid industrial development and resultant climate change intensifies the hitherto prevalent water crises, China, through a spate of dam-building among other things, has ensured its water, and consequently food, supply through the accumulation of real and virtual water networks, in a world where basic necessities are gradually becoming scarce. Through a descriptive study, this paper attempts to answer the question of what the implications of China’s domestic, regional and global behavior of extensive hydro-infrastructural development are beyond the contemporary economic and political gains for itself. It argues that the objectives of China’s dam-building transcend short-term economic and political gains, as it attempts to ensure the possibility of China’s long-term hydro-stability in its quest to emerge at the lead of the evolving global order.