bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring dyadic relationships between Science Parks and universities: bridging theory and practice
Authors: Löfsten Hans , Klofsten Magnus 
Published: February 2024

AbstractThis paper delves into the dyadic relationships between Science Parks (SPs) and universities from the perspective of SPs. It explores various dimensions, including organizational functions, co-location, collaboration, management team activities, partnerships, and connections with university students and senior academics. A survey of 120 European SPs underscores the significance of having the University-Industry Liaison Office within the SP, fostering increased collaboration with the local university, providing career opportunities for university students, and promoting alumni network activities. Additionally, the proximity of universities and research institutions within a 50 km radius positively impacts the relationships between SPs and universities. Additionally, the paper offers several managerial implications. Establishing communication channels between SP management and universities fosters an environment that boosts the open exchange of ideas, collaborative discussions, and problem-solving. The alignment of SPs and universities' goals and objectives, particularly in areas such as research themes, industry partnerships, technology transfer, and talent development, further solidifies the mutually advantageous nature of these relationships, establishing a strong foundation for their enhancement. Within the SP environment, universities can closely collaborate with businesses, start-ups, and entrepreneurs, promoting innovation, commercializing research findings, and incubating spin-off ventures.
The use of an artificial neural network for assessing tone perception in electric powertrain noise, vibration and harshness
Authors: Ricardo Souza Marcos , Haris Ahmed , Rodrigues Leon , Offner Guenter , Sopouch Martin , Diwoky Franz , Mohammadpour Mahdi , Theodossiades Stephanos 
Published: February 2024

AbstractThe transition from internal combustion engines to electric powertrains brings new challenges for the Noise, Vibration, and Harshness (NVH) analysis of these vehicles. The tonal nature of the electromagnetic excitations and of the gear meshing mechanism are reflected in the radiated noise of electric powertrains, often leading drivers and passengers to rate the noise from electric vehicles with an increased nuisance even if they are quieter than internal combustion driven powertrains. In this paper, a flexible multi-body dynamics model is developed to calculate the vibration and forces transmitted from the bearings to the housing of an electric powertrain. Acceleration, force and sound spectra data are used to train an artificial neural network to assess the prominence of tones in the noise based on the results of the structural simulation. The results show it is possible to identify psychoacoustic metrics from the multibody dynamics simulation alone. With this new approach, it is feasible to quickly investigate how changes in the powertrain will affect the tonal perception of the noise without the need of new acoustic simulations and experiments. For the tonal perception analysis, the Prominence Ratio is used as a metric. This framework of combining multibody dynamics simulation with initial acoustic data and neural networks can be also applied to different NVH metrics as appropriate.
Paradigm uniformity effects on French liaison
Authors: Storme Benjamin 
Published: February 2024

AbstractFrench liaison is a type of external sandhi involving the use of a special consonant-final allomorph before vowel-initial words. Consonants occurring at the end of these allomorphs are challenging for phonological theory because of evidence that their prosodic and segmental realization is intermediate between the realizations of word-final and word-initial consonants. This puzzling behavior of French liaison has been used to motivate new phonological and lexical representations, including floating consonants, lexical constructions and gradient symbolic representations. This paper proposes an alternative analysis: the variable realization of liaison is derived as a paradigm uniformity effect, assuming traditional phonological and lexical representations. In a Word1-Word2 sequence, the liaison consonant at the boundary between the two words ends up acquiring properties of both word-final and word-initial consonants because of a pressure to make contextual variants of Word1 and Word2 similar to their citation forms. The proposal is implemented in a probabilistic constraint-based grammar including paradigm uniformity constraints and is shown to account for the intermediate behavior of liaison both in terms of prosodic attachment and segmental realization. The paper provides evidence for two key predictions of this analysis, using judgment data on the prosodic attachment of liaison consonants in European French and phonetic data on the interaction between liaison and affrication in Quebec French.
Enhancing students’ classical Chinese reading through a two-year flipped self-regulated learning intervention program
Authors: Lau Kit-Ling , Qian Quan 
Published: February 2024

AbstractThis study investigated the feasibility and effectiveness of using a flipped classroom (FC) approach to combine self-regulated learning (SRL) instruction and out-of-class eLearning activities in a two-year reading intervention program to facilitate students’ learning of classical Chinese reading. A total of 352 junior secondary students from three Hong Kong secondary schools participated in the study voluntarily. Using a quasi-experimental design, students from each school were assigned to one of the following conditions: SRL instruction plus out-of-class eLearning (EG-I+E), SRL instruction only (EG-I), and control (CG). Both quantitative methods, including reading tests and student questionnaires, and qualitative methods, including teacher and student interviews, were adopted to collect data for the program evaluation. Findings indicate that after implementing the intervention program, EG students perceived significant changes in their classical Chinese lessons to be more SRL-oriented. While all treatment groups significantly improved their performance in the reading post-tests, only EG students significantly improved their strategy use, self-efficacy, and intrinsic motivation. Although both EG groups had similar improvements in all outcome measures, teachers and students of EG-I+E opined that the eLearning component of FC facilitated teachers’ implementation of the intervention and students’ strategy learning and motivation. Findings are discussed to shed light on applying SRL instruction and FC in a school subject long dominated by teacher-centered instruction.
Local community development and higher education institutions: Moving from the triple helix to the quadruple helix model
Authors: Shyiramunda Theophile , van den Bersselaar Dmitri 
Published: February 2024

AbstractThis article examines issues of local community development in Rwanda, building on the triple helix model proposed by Henry Etzkowitz and Loet Leydesdorff in the 1990s to draw insights from international perspectives. The authors favour an expanded quadruple helix model which includes the local community as a unit of analysis, alongside higher education institutions (HEIs), the private sector and government. In this fourfold model, the local community is identified as an additional helix based on the idea that HEIs can serve as engines for boosting economic development. The results of the authors’ analysis show that innovations in higher education which are directed towards community development can, in turn, lead to changes in existing practices and teaching to better reflect the needs of the local community as well as the broader community beyond the immediate context of HEIs. Graduates’ employable skills can be strengthened through outreach initiatives by HEIs, along with the collaborative support of all elements in the fourfold model. The authors’ review of relevant literature and policy documents goes further to illustrate how each element can play an optimal role in forming a strong and sustainable partnership at the local level. The robust cooperation among helices in this model may lead to higher rates of graduates’ employment in a knowledge-based society. These innovations can further lead to full alleviation of poverty, starting from the sphere of local community development.
Temporal and Periodic Analysis of Penumbra–Umbra Ratio for the Last Four Solar Cycles
Authors: Chowdhury Partha , Kilcik Ali , Saha Ankit , Rozelot Jean-Pierre , Obridko Vladimir , Erdélyi Robertus 
Published: February 2024

AbstractWe investigate the long-term dynamic behavior of the sunspot penumbra to umbra area ratio by analyzing the Debrecen Photoheliographic Data (DPD) of sunspot groups during the period 1976–2017 (Solar Cycles 21–24). We consider all types of spots and find that the average penumbra–umbra ratio does not exhibit any significant variation with spot latitudes, solar-cycle phases as well as sunspot-cycle strengths. However, the behavior of this ratio is different when we consider the latitudinal distribution of the northern and southern hemispheres separately. Our analysis indicates that for daily total sunspot area the average spot ratio varies from 5.5 to 6.5 and for very large sunspots (> 5000 $\mu$
μ
Hem; one $\mu$
μ
Hem is $10^{-6}$

10

−
6

the area of visual solar hemisphere) its value rises to about 8.3. In the case of the group-sunspot area, the average spot ratio is ∼6.76. Furthermore, we found that this ratio exhibits a trend for both smaller (area <100 $\mu$
μ
Hem) and large (area > 100 $\mu$
μ
Hem) sunspots. Finally, we report the periodic and quasiperiodic variations present in this ratio time series after applying the multitaper method (MTM) and Morlet-wavelet technique. We found that along with the ∼11-year solar-cycle period, the penumbra to umbra area ratio also shows several midterm variations, specifically, Rieger-type and quasibiennial periodicities. We also found that Rieger-type periods occur in all cycles, but the temporal evolution and the modulation of these types of periodicities are different in different solar cycles.
Dynamical Phenomena in the Martian Atmosphere Through Mars Express Imaging
Authors: Sánchez-Lavega A. , del Río-Gaztelurrutia T. , Spiga A. , Hernández-Bernal J. , Larsen E. , Tirsch D. , Cardesin-Moinelo A. , Machado P. 
Published: February 2024

AbstractThis review describes the dynamic phenomena in the atmosphere of Mars that are visible in images taken in the visual range through cloud formation and dust lifting. We describe the properties of atmospheric features traced by aerosols covering a large range of spatial and temporal scales, including dynamical interpretations and modelling when available. We present the areographic distribution and the daily and seasonal cycles of those atmospheric phenomena. We rely primarily on images taken by cameras on Mars Express.
Bad social norms rather than bad believers: examining the role of social norms in bad beliefs
Authors: Müller Basil 
Published: February 2024

AbstractPeople with bad beliefs — roughly beliefs that conflict with those of the relevant experts and are maintained regardless of counter-evidence — are often cast as bad believers. Such beliefs are seen to be the result of, e.g., motivated or biased cognition and believers are judged to be epistemically irrational and blameworthy in holding them. Here I develop a novel framework to explain why people form bad beliefs. People with bad beliefs follow the social epistemic norms guiding how agents are supposed to form and share beliefs within their respective communities. Beliefs go bad because these norms aren’t reliably knowledge-conducive. In other words, bad beliefs aren’t due to bad believers but due bad social epistemic norms. The framework also unifies different explanations of bad beliefs, is testable and provides distinct interventions to combat such beliefs. The framework also helps to capture the complex and often contextual normative landscape surrounding bad beliefs more adequately. On this picture, it’s primarily groups that are to be blamed for bad beliefs. I also suggest that some individuals will be blameless for forming their beliefs in line with their group’s norms, whereas others won’t be. And I draw attention to the factors that influence blameworthiness-judgements in these contexts.
Blood group AB is associated with reduced blood loss but also elevated cardiovascular mortality in aortocoronary bypass surgery
Authors: Masseli Franz , Veseli Arlinda , Pfohl Marvin , Hoch Jochen , Treede Hendrik , Schiller Wolfgang 
Published: February 2024

AbstractPatient blood group (BG) is predictive for von-Willebrand-factor (VWF) and Factor VIII variation. The clinical impact of this ABO-effect on blood loss, cardiovascular complications and outcome has been described for several patient cohorts. The aim of this study was to investigate the impact of patient BG on blood loss and outcome after coronary artery bypass surgery (CABG). Patient records, intraoperative data and perioperative transfusion records of 5713 patients receiving an on-pump CABG procedure between 05/2004 and 12/2018 were analyzed. A logistic regression model for death due to perioperative myocardial ischaemia (PMI) was developed from initially 24 variables by using an univariate and multivariate selection process. BG AB patients required less blood transfusions as compared to the other blood groups, especially in case of emergency operations. However, BG AB patients also had a higher mortality which was due to secondary cardiovascular complications. The impact of blood type on the rate of cardiovascular mortality was confirmed in the logistic regression model. BG AB patients have a worse outcome after CABG surgery due to an increased incidence of fatal cardiovascular complications. As perioperative myocardial ischemia due to graft occlusion appears to be the most likely explanation, stricter anticoagulation for BG AB patients should be discussed.
Water Quality and Dissolved Organic Carbon Content in Agricultural Streams: Northern Nile Delta Region, Egypt
Authors: Bakr Noura , Shahin Sahar A. , Essa E. F. , Elbana Tamer A. 
Published: February 2024

AbstractSustainable development goals (SDGs) 2 (zero hunger), 6 (clean water and sanitation), and 15 (life on land) are related to the human-water-soil nexus. Soil organic carbon and nutrients can be removed and transported to waterways through runoff and drainage. The main goals of this study are to quantify the water quality for irrigation and assess the dissolved organic carbon (DOC) contents in streams in the northern Nile Delta, Egypt. A 4-year water quality monitoring program is accomplished by collecting 35 irrigation and drainage water samples per year from the study area. The measured water quality parameters are as follows: salinity, pH, Na, SAR, Cl, and NO3–N. In addition, the DOC content is accessed. The salinity hazard ranged from moderate, for most irrigation samples, to high and very high for drainage samples. All collected water samples have low to medium sodium hazards. Results indicate that average DOC contents in irrigation canals are 2.32 and 2.93 mg L−1 for the summer and winter, respectively. The respective means of DOC concentration in drainage canals for the summer and winter seasons are around 3.96 and 5.09 mg L−1. This study revealed significant differences in EC, pH, Na, Cl, and SAR, as water quality parameters, between irrigation and drainage canals. Additionally, the studied agroecosystem has seasonal variability in DOC concentration in irrigation and drainage canals between summer and winter. Overall, reusing drainage water for irrigation in the study area requires the selection of suitable crops and site-specific management.
Urban Green Space Usage and Life Satisfaction During the Covid-19 Pandemic
Authors: Refisch Martin , Kurz Karin , Hartmann Jörg 
Published: February 2024

AbstractWhereas research in Germany has focused mainly on how environmental burdens such as noise or air pollution affect health or well-being, little is known about the effects of environmental goods. Our study examines urban green spaces as one such environmental good, and asks how their usage affected life satisfaction during the coronavirus pandemic. Drawing on attention restoration and stress reduction theory as well as on theories of social integration, we further ask how different kinds of activities such as meeting friends or doing sports mediate the effects of green spaces on life satisfaction. Our empirical analysis builds on unique individual panel data for residents of Hannover and Braunschweig taken from interviews before and during the coronavirus pandemic. Using causal difference-in-difference models, our results reveal no robust effect of increased or decreased green space usage on life satisfaction. However, results depend on the operationalization: Analyses point to a negative effect of reduced green space visits only when green space use is assessed retrospectively. Hence, our study highlights the need for further causality-oriented research on the relationship between green space usage and life satisfaction. Moreover, it stresses the value of performing robustness checks by applying alternative operationalizations in causal analyses.
Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory Study
Authors: Hudelson Patricia , Chappuis François 
Published: February 2024

Abstract
Background
Machine translation (MT) apps are used informally by healthcare professionals in many settings, especially where interpreters are not readily available. As MT becomes more accurate and accessible, it may be tempting to use MT more widely. Institutions and healthcare professionals need guidance on when and how these applications might be used safely and how to manage potential risks to communication.

Objectives
Explore factors that may hinder or facilitate communication when using voice-to-voice MT.

Design
Health professionals volunteered to use a voice-to-voice MT app in routine encounters with their patients. Both health professionals and patients provided brief feedback on the experience, and a subset of consultations were observed.

Participants
Doctors, nurses, and allied health professionals working in the Primary Care Division of the Geneva University Hospitals, Switzerland.

Main Measures
Achievement of consultation goals; understanding and satisfaction; willingness to use MT again; difficulties encountered; factors affecting communication when using MT.

Key Results
Fourteen health professionals conducted 60 consultations in 18 languages, using one of two voice-to-voice MT apps. Fifteen consultations were observed.
Professionals achieved their consultation goals in 82.7% of consultations but were satisfied with MT communication in only 53.8%. Reasons for dissatisfaction included lack of practice with the app and difficulty understanding patients. Eighty-six percent of patients thought MT-facilitated communication was easy, and most participants were willing to use MT in the future (73% professionals, 84% patients). Experiences were more positive with European languages. Several conditions and speech practices were identified that appear to affect communication when using MT.

Conclusion
While professional interpreters remain the gold standard for overcoming language barriers, voice-to-voice MT may be acceptable in some clinical situations. Healthcare institutions and professionals must be attentive to potential sources of MT errors and ensure the conditions necessary for safe and effective communication. More research in natural settings is needed to inform guidelines and training on using MT in clinical communication.
Modification of faba bean protein isolate by high-intensity ultrasound treatment: screening of physicochemical, thermal, and structural properties
Authors: Adal E. 
Published: February 2024

AbstractThis study aimed to investigate the impacts of high-intensity ultrasound treatments on the physicochemical, thermal, and structural properties of faba bean protein isolates (FPI). Aqueous FPI suspensions were sonicated at 20 kHz for 1, 3, 5, and 10 min. Ultrasound treatment increased the solubility of FPI at all sonicated times, with maximum solubility (89.11%) observed at the 3-min treatment. Particle size (from 370.47 to 187.87 nm) and zeta potential (from − 40.83 to − 37.17 mV) reduction (in magnitude) by sonication were observed at all studied times. The usage of ultrasound has been found to have a more pronounced antibrowning impact compared to unsonication (higher L* and b*, lower a*, C*, H*, BI, and ΔE). With the increase in sonication treatment from 0 to 3 min, the Td decreased from 103.07 to 99.58 °C and ΔHd from 2.21 to 1.12 J/g, which were related to the changes in the secondary structure of proteins. Sonication changed the secondary structure of FPI, decreasing the α-helix, β-turn, and random coil content, and increasing the β-sheet for samples treated up to 3 min. Prolonged sonication increased the α-helices due to the extension of certain types of hydrogen bonds in the structure. The microstructural changes of FPI caused by ultrasound were further validated through observations made using a scanning electron microscope, which revealed the presence of smaller fragments. The present study indicates that the use of ultrasound has the potential to improve the functionality of FPI, hence potentially enhancing the efficacy of FPI-based food products.
Graphical abstract
Providing a Rigorous Benchmark Measurement Foundation for Modeling-Informed Qualification and Certification of Metal Additive Manufactured Components
Authors: Levine Lyle , Lane Brandon , Glaessgen Edward , Gorelik Michael 
Published: February 2024

AbstractMetal additive manufacturing (AM) is a transformative set of technologies that are increasingly being used for demanding structural applications. However, persistent challenges regarding reliability and properties of the printed parts seriously impact qualification and certification (Q&C). Computational approaches can mitigate these challenges, but availability of benchmark measurement data for model validation is a key requirement. Q&C will be discussed in the context of the Computational Materials for Qualification and Certification (CM4QC) steering group, a tightly focused collaboration of aviation-focused companies, research and regulatory government agencies, and universities that is working to develop a roadmap for increasing the use of computational approaches in the aviation Q&C process. Benchmark measurement data will be discussed in the context of the Additive Manufacturing Benchmark Test Series (AM Bench), a broad collaboration of 10 NIST divisions and about 20 external organizations, including several that are collaborators on CM4QC, that provide rigorous measurement data for validating AM simulations for a wide range of AM technologies and material systems. Technical standards also play an important role for Q&C and the confluence between CM4QC, AM Bench, and standards organizations will be discussed.