bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intentional Teaching and the Intentionality of Educators: Time for Careful, Considerate, Collaborative, and Reflective Practice
Authors: Leggett Nicole 
Published: July 2023

Abstract
When first released in 2009, the Early Years Learning Framework (EYLF) recognised intentional teaching as one of its eight core practices (Department of Education, Employment and Workplace Relations (DEEWR) (2009). In 2022, the EYLF was revised to include a broader understanding of ‘intentionality’, encompassing both the educator and the child within the teaching/learning nexus. One of the changes made to this new edition, involved the merging of two previous practices, ‘learning through play’ and ‘intentional teaching’ into one new practice, ‘play-based learning and intentionality’ (Australian Government Department of Education [AGDE] (2022). While educators are encouraged to act with intentionality in play-based learning, there is the need to acknowledge children’s freedom in play and their agency for creative expression. This paper is a timely contribution, presenting recent research with educators from Reggio Emilia, Italy and Newcastle, NSW, Australia, who together discuss their intentionality as educators. Findings suggest that: time, care, consideration, collaboration, and reflective practice, are key factors for determining a more nuanced definition of intentional teaching practices within a contemporary framework.
A grooved conduit combined with decellularized tissues for peripheral nerve regeneration
Authors: Yu Enxing , Chen Zhiwu , Huang Yuye , Wu Yibing , Wang Zonghuan , Wang Fangfang , Wu Miaoben , Xu Kailei , Peng Wei 
Published: July 2023

AbstractPeripheral nerve injury (PNI) is a common and severe clinical disease worldwide, which leads to a poor prognosis because of the complicated treatments and high morbidity. Autologous nerve grafting as the gold standard still cannot meet the needs of clinical nerve transplantation because of its low availability and limited size. The development of artificial nerve conduits was led to a novel direction for PNI treatment, while most of the currently developed artificial nerve conduits was lack biochemical cues to promote nerve regeneration. In this study, we designed a novel composite neural conduit by inserting decellularized the rat sciatic nerve or kidney in a poly (lactic-co-glycolic acid) (PLGA) grooved conduit. The nerve regeneration effect of all samples was analyzed using rat sciatic nerve defect model, where decellularized tissues and grooved PLGA conduit alone were used as controls. The degree of nerve regeneration was evaluated using the motor function, gastrocnemius recovery, and morphological and histological assessments suggested that the combination of a grooved conduit with decellularized tissues significantly promoted nerve regeneration compared with decellularized tissues and PLGA conduit alone. It is worth to note that the grooved conduits containing decellularized nerves have a promotive effect similar to that of autologous nerve grafting, suggesting that it could be an artificial nerve conduit used for clinical practice in the future.
Graphical Abstract
Global optimization via optimal decision trees
Authors: Bertsimas Dimitris , Öztürk Berk 
Published: July 2023

AbstractThe global optimization literature places large emphasis on reducing intractable optimization problems into more tractable structured optimization forms. In order to achieve this goal, many existing methods are restricted to optimization over explicit constraints and objectives that use a subset of possible mathematical primitives. These are limiting in real-world contexts where more general explicit and black box constraints appear. Leveraging the dramatic speed improvements in mixed-integer optimization (MIO) and recent research in machine learning, we propose a new method to learn MIO-compatible approximations of global optimization problems using optimal decision trees with hyperplanes (OCT-Hs). This constraint learning approach only requires a bounded variable domain, and can address both explicit and inexplicit constraints. We solve the MIO approximation to find a near-optimal, near-feasible solution to the global optimization problem. We further improve the solution using a series of projected gradient descent iterations. We test the method on numerical benchmarks from the literature as well as real-world design problems, demonstrating its promise in finding global optima efficiently.
Experimental investigation of ultrasonic vibration-assisted cryogenic minimum quantity lubrication for milling of Ti-6Al-4V and grinding of Zerodur
Authors: Blasl Jacqueline , Lichtinger Klaus , Vieltorf Fabian , Zaeh Michael F. , Hanenkamp Nico 
Published: July 2023

AbstractIncreasing demands on component properties are leading to the development of high-performance materials for which conventional production methods are reaching their limits from an economic and ecological point of view. In recent years, two technologies have been developed that show great potential compared to conventional machining processes, particularly in machining high-performance materials such as the titanium alloy Ti-6Al-4V. Ultrasonic-assisted machining leads to reduced cutting forces and increased tool life. Cryogenic minimum quantity lubrication prevents the occurrence of high machining temperatures and allows higher material removal rates without a negative impact on tool life. This paper shows the influence of ultrasonic-assisted milling and grinding processes in combination with cryogenic minimum quantity lubrication on the machinability of the high-strength materials Ti-6Al-4V and Zerodur. The investigation addressed cutting forces, tool wear, and surface roughness. The superposition of the technologies resulted in longer tool life and lower tool wear for both milling and grinding. However, the surface roughness was consistently higher due to the ultrasonic superposition. Nevertheless, machining with ultrasonic vibration-assisted cryogenic minimum quantity lubrication has great potential for difficult-to-machine materials, especially due to the reduction in tool wear.
Feminine expertise on board and environmental innovation: the role of critical mass
Authors: García-Meca Emma , Ramón-Llorens M. Camino , Martínez-Ferrero Jennifer 
Published: July 2023

AbstractThis paper examines whether women’s attitudes toward environmental innovation are impacted by their individual differences in skills, expertise, experience, and technical knowledge, as well as their visibility and legitimacy on boards. Using the categorization of directors developed by Hillman et al (J Manag Stud 37(2):235–256, 2000) and a dataset including the largest non-financial Spanish-listed entities reported on the IBEX-35 between 2015 and 2019, we can confirm the influence of female business expert and support specialist directors on environmental innovation. We find that although female business expert directors seem to positively influence environmental innovation even below a critical mass, female support specialist directors are only significant and positive drivers of eco-initiation when they gain power and authority on the board. This study confirms the need to examine the connection between women directors and eco-innovation based not only on their expertise and experience but also on their position and legitimacy on the board. In this regard, our results provide evidence that female support specialists need to have a large enough representation on boards to be effective in developing green initiatives. Our results are robust to alternative measures of green innovation (i.e., environmental performance) and overcome endogeneity concerns.
Impact of Drought and Wildfires in Recent Trends of Diarrhetic Shellfish Toxins in Cockles from Northwest Portugal and Its Similarities with Sardine Stock Trends in the Period 2001–2022
Authors: Vale Paulo 
Published: July 2023

AbstractIn Portugal, high levels of diarrhetic shellfish toxins (DSTs) originating from Dinophysis spp. are accumulated in bivalves, mainly on the northwest coast (NWC). The occurrence of DSTs in spring and early summer is positively related to precipitation. A decrease in average precipitation after 2003 led to a reduction in DSTs after 2008. However, the accumulation of DSTs in the NWC increased in the period 2020–2022. The hydrological year of 2022 was marked by extreme drought. In cockles from the endemic area of Ria de Aveiro, 37.3% of the weeks tested presented samples above the regulatory limit (RL). The previous record was 31.9% in 2005, also an extremely dry year. The average percentage of weeks above the RL in severe drought years surpassed both the low and high precipitation years. In severe dry years, toxicity was dominated mainly by D. acuta toxins. While D. acuminata grows after the abundant river discharges in spring, D. acuta is capable of growing in summer during upwelling favourable conditions. In the last two decades, extensive forest wildfires were recurrent, but the area burnt reduced sharply after 2017 following tighter fire control measures. Low levels of DSTs or low percentage of weeks with cockles above the RL were related to high burnt areas in the previous year. The recent increase in 2020–2022 of DSTs, a planktonic biomarker in bivalves, was also coincident with the similar temporal increase in either the recruitment or the biomass of Sardina pilchardus, a planktivorous fish in decline after 2005/2006. Both low sardine recruitment and biomass were coincident with low precipitation or high burnt areas. Wildfires degrade coastal water quality, as seems reflected both in the cockle’s DST and the sardine stock time series.
Trust transfer effects and associated risks in telemedicine adoption
Authors: Kuen Leonie , Schürmann Fiona , Westmattelmann Daniel , Hartwig Sophie , Tzafrir Shay , Schewe Gerhard 
Published: July 2023

AbstractTelemedicine has the potential to address considerable challenges in the efficient provision of health care services. However, this will not be realized until a high acceptance rate among patients is achieved. We address the research gap that arises from the need to explore the interplay of different trust referents (physician, technology, treatment) and perceived risk dimensions (performance, privacy, time, psychological) in patients’ telemedicine adoption considering two different symptom types (physical vs. mental). We conducted a scenario-based online survey and performedt-tests, scenario-specific structural equation modeling, and multi-group analysis.T-tests and multi-group analysis do not indicate differences in perceptions and path coefficients between the symptoms. Furthermore, scenario-specific structural equation modeling reveals that for both scenarios, trust in physician is less important for trust transfer effects and intention to use than trust in technology and trust in treatment. Trust in treatment has similar effects for all risk dimensions, while only performance risk relates to use intention. Moreover, the results indicate a considerable intention-behavior gap. We advance IS research by emphasizing the relevance of considering multiple trust referents, trust transfer effects, and a multidimensional perspective on perceived risk.
Measurement of benzene and other volatile organic compounds: implications for its inhalation health risk associated with the workers at a fuel station in Delhi
Authors: Kumari Poonam , Garg Gazal , Soni Daya , Aggarwal Shankar G. 
Published: July 2023

AbstractExposure to benzene and other volatile organic compounds (VOCs) like toluene, ethylbenzene, o-, m-, and p-xylene (BTEX) at a fuel station is hazardous for the workers. This study aims to estimate the health risk for worker due to the exposure of BTEX after implementation of vapour recovery system (VRS) at fuel stations. Air samples were collected using low-flow sampling pump as per NIOSH method by using Tenax (sorbent) tubes and charcoal (sorbent) tubes. Target compounds were extracted using acetone and analysed by gas chromatography equipped with flame ionization detector (FID). The cancer risk (CR) and hazard quotient (HQ) were estimated to assess the cancer and non-cancer risk following the United States of Environmental Protection Agency (USEPA) updated methodology. The average concentration of VOCs at the fuel station is found in the order toluene > benzene > xylene > ethylbenzene which may be attributed to the composition of fuel (petrol/diesel). Benzene is the most carcinogenic among BTEX, which is found to be 217 ± 9 µg m−3 and 158 ± 9 µg m−3 in the month of November 2021 using Tenax sorbent and charcoal sorbent tubes, respectively. The high concentration observed using Tenax sorbent may be attributed to its high adsorption efficacy than charcoal due to larger surface area and porosity. The 7-month average CR value of benzene was 9 × 10−4 using Tenax sorbent and exceeds the acceptable range of 1 × 10−6. CR of benzene exposure at the fuel station under study is also compared with that of outdoor ambient air exposure. Benzene measurement data for the same duration was taken from nearby online monitoring station of Delhi Pollution Control Committee (DPCC) PUSA to estimate CR value for outdoor ambient air benzene exposure. The value of HQ for benzene was observed > 1 which exceeds the acceptable value and hence increased the non-cancer health risk also. Hazard index (HI) value for BTEX is also greater than 1 which indicates adverse health effects of benzene and other VOCs at the fuel station. The high CR and HQ values for benzene are a matter of concern for fuel station workers.
Numerical investigation of water inflow and seepage characteristics in a tunnel crossing two overlapped parallel faults
Authors: Wu Jing , Wu Li , Han Yan-hua , Sun Miao , Lu Ya-ni 
Published: July 2023

AbstractWater inflow is one of the main geohazards that threaten the safety of tunnels and other underground engineering projects. Faulted zone is one of the important geological triggers for such events. Numerical investigations on the evolution of flow behavior in tunnels across fault zones are of significance to the predication and prevention of this type of geohazards. In this work, a numerical investigation model with two overlapped parallel faults is established at a steady stage according to the "Three Zones" fault structure theory. The rapid turbulent flow in the fault zone is simulated by using the improved Darcy-Brinkman seepage model, while the slow laminar flow in ordinary rock zone is described by Darcy equation. The effect of relative position and distance between the tunnel excavation face and overlapped parallel faults to the groundwater pore pressure and flow velocity is studied through several scenarios, and the water inflow rate into the tunnel is calculated. The numerical investigation results reveal that while the tunnel face is excavated into the fault center core, the fractured zone, the ordinary rock zone, and the center of the overlapped faults, the pore pressure value ahead of the excavation face increases while the flow velocity decreases sequentially. The inflow rate is the largest while the tunnel face is excavated to center of the fault center core, which is closely related to the range of the overlapped area. The investigation results offer a practical reference for predicting early warning of water inflow geohazard when a tunnel cross two overlapped parallel faults.
Identification of autophagy-associated circRNAs in sepsis-induced cardiomyopathy of mice
Authors: Zheng Ming-zhi , Lou Jun-sheng , Fan Yun-peng , Fu Chun-yan , Mao Xing-jia , Li Xiang , Zhong Kai , Lu Lin-huizi , Wang Lin-lin , Chen Ying-ying , Zheng Liang-rong 
Published: July 2023

AbstractCircular RNAs (circRNAs) play a role in sepsis-related autophagy. However, the role of circRNAs in autophagy after sepsis-induced cardiomyopathy (SICM) is unknown, so we explored the circRNA expression profiles associated with autophagy in an acute sepsis mouse model. At a dose of 10 mg/kg, mice were intraperitoneally administered with lipopolysaccharides. The myocardial tissue was harvested after 6 h for microarray analysis, qRT-PCR, and western blotting. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes and Gene Set Enrichment Analysis were evaluated, and a competing endogenous RNA network was constructed, to evaluate the role of circRNAs related to autophagy in SICM. In total, 1,735 differently expressed circRNAs were identified in the LPS-treated group, including 990 upregulated and 745 downregulated circRNAs. The expression level of the autophagy-specific protein p62 decreased, while the ratio of LC3 II to LC3 I increased. Additionally, 309 mRNAs and 187 circRNAs were correlated with autophagy in myocardial tissue after SICM. Of these, 179 circRNAs were predicted to function as “miRNA sponges”. Some distinctive circRNAs and mRNAs found by ceRNA analysis might be involved in autophagy in SICM. These findings provide insights into circRNAs and identified new research targets that may be used to further explore the pathogenesis of SICM.
Aqueous colloidal nanoplatelets for imaging and improved ALA-based photodynamic therapy of prostate cancer cells
Authors: Onbasli Kubra , Demirci Gozde , Isik Furkan , Durmusoglu Emek Goksu , Demir Hilmi Volkan , Acar Havva Yagci 
Published: July 2023

CdSe/CdS core/crown heterostructured nanoplatelets (NPLs) were transferred to the water via a single-step ligand exchange using 2-mercaptopropionic acid, loaded with a prodrug ALA for optical imaging coupled with photodynamic therapy of cancer cells.
Angular momentum transport by magnetic fields in main-sequence stars with Gamma Doradus pulsators
Authors: Moyano F. D. , Eggenberger P. , Salmon S. J. A. J. , Mombarg J. S. G. , Ekström S. 
Published: July 2023

Context.Asteroseismic studies show that cores of post-main-sequence stars rotate more slowly than theoretically predicted by stellar models with purely hydrodynamical transport processes. Recent studies of main-sequence stars, particularly Gamma Doradus (γDor) stars, have revealed the internal rotation rates for hundreds of stars, offering a counterpart on the main sequence for studies of angular momentum transport.Aims.We investigate whether such a disagreement between observed and predicted internal rotation rates is present in main-sequence stars by studying angular momentum transport inγDor stars. Furthermore, we test whether models of rotating stars with internal magnetic fields can reproduce their rotational properties.Methods.We computed rotating models with the Geneva stellar evolution code taking into account meridional circulation and shear instability. We also computed models with internal magnetic fields using a general formalism for transport by the Tayler-Spruit dynamo. We then compared these models to observational constraints forγDor stars that we compiled from the literature, thus combining the core rotation rates, projected rotational velocities from spectroscopy, and constraints on their fundamental parameters.Results.We show that combining the different observational constraints available forγDor stars enable us to clearly distinguish the different scenarios for internal angular momentum transport. Stellar models with purely hydrodynamical processes are in disagreement with the data, whereas models with internal magnetic fields can reproduce both core and surface constraints simultaneously.Conclusions.Similarly to results obtained for subgiant and red giant stars, angular momentum transport in radiative regions ofγDor stars is highly efficient, in good agreement with predictions of models with internal magnetic fields.
Production of highly charged ions inside a cryogenic Penning trap by electron-impact ionisation
Authors: Kanika  , Krishnan A , Klimes J W , Reich B , Anjum K K , Baus P , Birkl G , Quint W , Vogel M 
Published: July 2023

Abstract
We have built and operated a cryogenic Penning trap arrangement that allows for the efficient production, selection, and long-term storage of highly charged atomic ions. In close similarity to an electron-beam ion trap it works by electron-impact ionisation of atoms inside a dedicated confinement region. The electrons are produced by field emission at liquid-helium temperature and are subsequently accelerated to the keV energy range. The electron beam is reflected through the trap multiple times to increase the ionisation efficiency. We show a characterisation of the system and measurements with argon and tungsten ions up to Ar16+ and W27+, respectively.
Rotating machinery fault diagnosis based on optimized Hilbert curve images and a novel bi-channel CNN with attention mechanism
Authors: Sun Kun , Liu Dongdong , Cui Lingli 
Published: July 2023

Abstract
Deep learning methods have been widely investigated in machinery fault diagnosis owing to their powerful feature learning capability. However, high accuracy is hard to achieve due to the limited fault information in a single domain when the data volume is small. In this paper, an optimized Hilbert curve (OHC) method is developed, which can generate a novel domain to highlight the fault impulses of vibration signals. To fully mine the fault information, a bidirectional-channel convolutional neural network with an attention mechanism is further proposed, in which two channels are constructed and a transmission channel selection is conducted by a novel improved convolutional block attention module. First, the OHC images and the time-frequency representations are obtained by OHC and wavelet transform respectively. Second, the two types of representations are fed into the channels respectively for feature learning. Finally, the learned features are allocated to different attention mechanism for feature fusion and classification. The proposed method is evaluated via the datasets of rolling bearings and planetary gearboxes, and results show that it outperforms the comparison methods.
Do painters need physics?
Authors: Wen Xiaojing , Korsun Igor 
Published: July 2023

Abstract
Article presents the possibilities of using the painting in physics education in the context of acquisition by students the ‘Learning to learn’ competence. Analysis of the works of 13 painters gave us the opportunity to formulate interesting research problems in physics. Examples of 18 problems and answers to them have been suggested. In the process of solving problems, students learn to work independently with printed and electronic sources of information, and also learn to independently conduct experiments and observations. The independent research activity of students involves searching of relevant information sources, collection and analysis of information, putting forward and testing a hypothesis, and formulation of conclusions. These valuable critical skills are components of ‘Learning to learn’ competence.