bluuebunny/crossref_metadata_2025_split huggingface dataset:
Formation par concordance : la théorie des scripts et son application en enseignement revisitées
Authors: Pietrement Christine , Morin Marie-Paule , Lefèvre-Utile Alain , Thibault Louis-Philippe , Jobin Vincent , Charlin Bernard 
Published: March 2024

Contexte et problématique : La formation par concordance (FpC) est un puissant instrument de formation en ligne, basé sur la théorie des scripts. En éducation médicale, la FpC se présente de manière similaire à un test de concordance de script (TCS) (vignette clinique, hypothèse, nouvelle information, micro-jugement) mais alors que le TCS est destiné à l’évaluation, la FpC est un outil de formation dont l’intérêt repose sur la richesse des rétroactions dont bénéficie l’apprenant à savoir la répartition des réponses des panélistes, l’accès aux brèves explications que les panélistes ont données pour accompagner leurs réponses, et une courte synthèse éducative. Bien que son cadre théorique, la théorie des scripts, soit clair, la conception d’une FpC est complexe. De fait l’opérationnalisation du cadre théorique de la FpC n’a jamais été décrite. Objectif : Le but du présent article est ainsi de proposer un cadre d’opérationnalisation de la création d’une FpC, en utilisant comme socle l’exercice concret, étape par étape, de la création d’une FpC au sujet de la rhumatologie pédiatrique destinée à la formation des médecins de familles et des pédiatres généralistes. Méthodes : En adoptant une technique de groupe nominal, les échanges entre les créateurs de cette FpC (5 médecins pédiatres et/ou spécialistes en éducation médicale) ont permis d’aboutir à un consensus concernant chacun des concepts de la théorie des scripts et leur opérationnalité au regard de la création d’une FpC structurée dans une période de temps optimisé. Résultats : Un cadre opérationnel de création d’une FpC, sous la forme d’une synthèse des opérations conduisant à la création d’une FpC est finalement proposé.
Fetal Epicardial Fat Thickness in Obese Pregnant Women: Its Effect on
Fetal Cardiac Function and Neonatal Outcomes
Authors: Doğru Şükran , Akkuş Fatih , Metin Ülfet Sena , Acar Ali 
Published: March 2024

Abstract
Objective This study aimed to evaluate fetal epicardial fat thickness (EFT)
together with fetal myocardial performance index (MPI) and its effects on
neonatal outcomes in obese pregnant women.
Materials and methods A total of 102 pregnant women, 51 obese and 51 of
normal weight, were included in this prospective study. Fetal EFT, and MPI
measurements were performed for all patients.
Results Fetal EFT and Mod-MPI showed a statistically significant difference
between obese pregnant women and the control group (p=0.0001, p=0.001). The
optimal fetal EFT predictive cut-off value for the 5th-minute APGAR score below
7 was 1.22 mm, with a sensitivity of 86.96% and a specificity of 54.43%
(p=0.001).
Conclusion Fetal EFT and mod-MPI were higher in obese pregnant women. It is
encouraging that fetal EFT predicts low APGAR, but more important information
can be obtained if postnatal follow-up of these cardiac changes caused by
obesity can be performed.
Cold endoscopic mucosal resection versus cold snare polypectomy for colorectal lesions: a systematic review and meta-analysis of randomized controlled trials
Authors: Arruda do Espirito Santo Paula , Meine Gilmara Coelho , Baraldo Stefano , Barbosa Eduardo Cerchi 
Published: March 2024

Abstract
Background Cold resection of colorectal lesions is widely performed because of its safety and effectiveness; however, it remains uncertain whether adding submucosal injection could improve the efficacy and safety. We aimed to compare cold endoscopic mucosal resection (C-EMR) versus cold snare polypectomy (CSP) for colorectal lesions.
Methods We performed a systematic review of randomized controlled trials (RCTs) identified from PubMed, Cochrane Library, and Embase. The primary outcome was complete resection. Secondary outcomes were procedure time, en bloc resection, and adverse events (AEs). Prespecified subgroup analyses based on the size and morphology of the polyps were performed. The random-effects model was used to calculate the pooled risk ratio (RR) and mean difference, with corresponding 95%CIs, for dichotomous and continuous variables, respectively. Heterogeneity was assessed using the Cochran Q test and I
2 statistics.
Results 7 RCTs were included, comprising 1556 patients, with 2287 polyps analyzed. C-EMR and CSP had similar risk ratios for complete resection (RR 1.02, 95%CI 0.98–1.07), en bloc resection (RR 1.08, 95%CI 0.82–1.41), and AEs (RR 0.74, 95%CI 0.41–1.32). C-EMR had a longer procedure time (mean difference 42.1 seconds, 95%CI 14.5–69.7 seconds). In stratified subgroup analyses, the risk was not statistically different between C-EMR and CSP for complete resection in polyps<10 mm or ≥10 mm, or for complete resection, en bloc resection, and AEs in the two groups among nonpedunculated polyps.
Conclusions The findings of this meta-analysis suggest that C-EMR has similar efficacy and safety to CSP, but significantly increases the procedure time.PROSPERO: CRD42023439605.
Palladium-Catalyzed Asymmetric [3+2] Cycloaddition Reaction of Vinyl Cyclopropane with Electron-Deficient Dienes
Authors: Ding Chang-Hua , Xu Bin , Li Yun-Fan , Yang Cun , Xi Yu-Ting , Tan Qitao 
Published: March 2024

AbstractPalladium-catalyzed asymmetric [3+2] cycloaddition reaction of vinyl cyclopropane and electron-deficient dienes was realized. The cycloaddition reaction proceeded regioselectively on the distant C=C double bond of electron-deficient dienes, and was mainly controlled by the steric hindrance of the 5-substituent of electron-deficient dienes. Chiral multi-substituted cyclopentanes bearing three functional groups (monosubstituted alkene, conjugated ester, and cyano) and three continuous stereocenters were obtained in moderate to high yields, diastereoselectivities, and enantioselectivities.
Towards Catalytic C–H Activation Using Main Group Elements
Authors: McNally Andrew 
Published: March 2024

AbstractCatalytic C–H activation reactions are now established as a means to directly transform organic molecules and are commonly associated with metals such as palladium, rhodium, ruthenium and iridium. This Account will describe a short number of reports demonstrating that structures containing main group elements can facilitate C–H activation processes. In particular, boron-based catalysts can promote catalytic arene C–H borylation reactions, and an emerging approach using phosphenium ions can also cleave sp2 C–H bonds. These processes use a Lewis acidic main group atom combined with a pendant base to cleave C–H bonds, which compares with metal-catalyzed reactions that proceed via concerted metalation deprotonation mechanisms.1	Introduction2	Metal-Catalyzed C–H Activation via CMD/AMLA Mechanisms3	C–H Borylation via Boron-Based Catalysts4	C–H Activation Using Phosphenium Ions5	Conclusions
Do ESG fund managers pump and dump the stocks in their portfolios? European evidence
Authors: Papathanasiou Spyros , Kenourgios Dimitris , Koutsokostas Drosos 
Published: March 2024

AbstractWe investigate portfolio pumping around quarter-ends by ESG equity mutual funds domiciled in the largest European markets in sustainable investments, i.e., the UK, France and Germany, for the period from January 2010 to December 2022. We find strong evidence that the UK funds inflate quarter-end returns, with price spikes being stronger at year-ends; nevertheless, the magnitude of price inflation is less than that of their conventional counterparts. On the contrary, results indicate that German and French funds do not engage in portfolio pumping. The COVID-19 pandemic strengthened the propensity of fund managers to cause a profound artificial enhancement to the performance of the investment portfolio. Further analysis shows that portfolio pumping is more prominent among the worst-performing funds, funds that charge investors with lower fees and achieve a poor ESG rating. However, managers that pump fund returns do not attract significantly more flows. Our results have produced valuable insights for regulators and investors participating in ESG markets, highlighting the necessity for a rigorous surveillance of the UK ESG equity market.
How ‘going online’ mediates the challenges of policy elite interviews
Authors: Vaagland Karin 
Published: March 2024

AbstractRelevant data on sensitive and politicised political processes might be difficult to obtain and is sometimes even purposely hidden from the public domain. Policy elite interviews constitute crucial sources of information in policy research. However, there are significant challenges associated with ‘researching up’ which sets elite interviews apart from other interview methods. Although there is a great deal of literature concerning interviews conducted via phone or audio-visual computer programs, the implications of conducting policy elite interviews online have received surprisingly little attention. This paper discusses how going online can mediate the main challenges associated with policy elite interviews. These challenges include barriers to gaining access, dealing with biased information, and problems concerning positionality. Based on a least likely case to access relevant data, this paper reflects on personal experience from 20 online interviews with European Commission representatives on policy responses to the 2015 migration crisis. The paper concludes that the online format facilitated unique insights into a highly controversial issue area.
Scintillator-based Timepix3 detector for neutron spin-echo techniques using intensity modulation
Authors: Funama Fumiaki , Chong Su-Ann , Loyd Matthew , Gofron Kazimierz J. , Zhang Yuxuan , Kuhn Stephen J. , Zhang Chen , Fitzsimmons Michael R. , Khaplanov Anton , Vacaliuc Bogdan , Crow Lowell , Li Fankang 
Published: March 2024

A scintillator-based Timepix3 (TPX3) detector was developed to resolve the high-frequency modulation of a neutron beam in both spatial and temporal domains, as required for neutron spin-echo experiments. In this system, light from a scintillator is manipulated with an optical lens and is intensified using an image intensifier, making it detectable with the TPX3 chip. Two different scintillators, namely, 6LiF:ZnS(Ag) and 6LiI:Eu, were investigated to achieve the high resolution needed for spin-echo modulated small-angle neutron scattering (SEMSANS) and modulation of intensity with zero effort (MIEZE). The methodology for conducting event-mode analysis is described, including the optimization of clustering parameters for both scintillators. The detector with both scintillators was characterized with respect to detection efficiency, spatial resolution, count rate, uniformity, and γ-sensitivity. The 6LiF:ZnS(Ag) scintillator-based detector achieved a spatial resolution of 200 μm and a count rate capability of 1.1 × 105 cps, while the 6LiI:Eu scintillator-based detector demonstrated a spatial resolution of 250 μm and a count rate capability exceeding 2.9 × 105 cps. Furthermore, high-frequency intensity modulations in both spatial and temporal domains were successfully observed, confirming the suitability of this detector for SEMSANS and MIEZE techniques, respectively.
Risk Assessment and Risk Management of Incidents of Suspected Poisoning
Authors: Bates Nicola 
Published: March 2024

Abstract
Poisoning in livestock, horses and wildlife may be localised or large events involving single or multiple animals and can have public health, economic or medicolegal, as well as animal welfare, implications. Investigation of these incidents is required to determine the cause, assess the risk to other animals and people and instigate an appropriate risk management plan. Investigations will involve clinical examination and history taking, site visits to determine possible sources of poisoning, post-mortem examination and collection of biological (both ante and post-mortem) and environmental samples (water, soil, feed, suspect plants). Interpretation of laboratory analyses and investigations may involve a multidisciplinary team in order to formulate and implement a risk management programme. Specialist advice should be sought early in the investigation in order to ensure appropriate sampling and correct actions are undertaken. Practitioners should be aware of where and how to report incidents, where to seek advice and have some awareness of common toxicological risks, particularly local or seasonal risks, to livestock and other animals. This case study outlines some of the steps that should be undertaken when handling a case of suspected poisoning in animals and highlights some of the possible circumstances and substances that may result in toxicosis.

Information
© The Author 2023
The Med Diet 4.0 Framework: A Multidimensional Driver for Revitalising the Mediterranean Diet as a Sustainable Diet Model
Authors: Dernini Sandro , Lairon Denis , Berry Elliot M. , Brunori Gianluca , Capone Roberto , Donini Lorenzo M. , Iannetta Massimo , Mattioni Dalia , Piscopo Suzanne , Serra-Majem Lluis , Sonnino Andrea , Stefanova Milena 
Published: March 2024

Abstract
Despite being acknowledged as one of the healthiest diets in the world, there has been a shift away from the Mediterranean Diet (MD) pattern observed recently in the Mediterranean countries. This has undesirable consequences for health, but also for social, cultural, economic and environmental domains in the Mediterranean area. The Med Diet 4.0 framework, which is the focus of this case, has been developed as a multidimensional framework to revitalise the MD and to characterise it as a sustainable diet model. It offers four interdependent sustainable benefits, with country-specific variations: (i) nutrition and health advantages; (ii) low environmental impacts and richness in biodiversity; (iii) positive local economic returns; and (iv) high social and cultural food values. All these elements interact and contribute to the holistic well-being of individuals and communities, but Med Diet 4.0 has a broader scope. This is to catalyse multi-stakeholder interest in the MD as a driver towards more sustainable food systems; reconnecting diets, food consumption, food production, food security and sustainability in the region. At the level of the globalised food system, the Med Diet 4.0 model can, therefore, supply useful insights and action points to tackle the challenging policy issue of balancing human and planetary health. Food selection is influenced by exchange, use, and identity values, as well as images, memories, and emotions of people and contexts. It is recommended that MD education programmes should take these values into account and target all age groups with personalised messages.

Information
© CAB International 2019
A review on convolutional neural network in rolling bearing fault diagnosis
Authors: Li Xin , Ma Zengqiang , Yuan Zonghao , Mu Tianming , Du Guoxin , Liang Yan , Liu Jingwen 
Published: March 2024

Abstract
The health condition of rolling bearings has a direct impact on the safe operation of rotating machinery. And their working environment is harsh and the working condition is complex, which brings challenges to fault diagnosis. With the development of computer technology, deep learning has been applied in the field of fault diagnosis and has rapidly developed. Among them, convolutional neural network (CNN) has received great attention from researchers due to its powerful data mining ability and feature adaptive learning ability. Based on recent research hotspots, the development history and trend of CNN is summarized and analyzed. Firstly, the basic structure of CNN is introduced and the important progress of classical CNN models for rolling bearing fault diagnosis in recent years is studied. The problems with the classic CNN algorithm have been pointed out. Secondly, to solve the above problems, combined with recent research achievements, various methods and principles for optimizing CNN are introduced and compared from the perspectives of deep feature extraction, hyperparameter optimization, network structure optimization. Although significant progress has been made in the research of fault diagnosis of rolling bearings based on CNN, there is still room for improvement and development in addressing issues such as low accuracy of imbalanced data, weak model generalization, and poor network interpretability. Therefore, the future development trend of CNN networks is discussed finally. And transfer learning models are introduced to improve the generalization ability of CNN and interpretable CNN is used to increase the interpretability of CNN networks.
Three-dimensional deformation measurement techniques in space multi-physical fields based on digital image correlation
Authors: Yang Fenglong , Wang Bin , Zhong Junjie 
Published: March 2024

Abstract
Aiming at the three-dimensional deformation measurement requirement of the high-stability structure of spacecraft in space multi-physical fields, a comprehensive instrument protection device in a vacuum high-low temperature environment is developed using ultra-low temperature anti-condensation and vacuum heat insulation technology. This ensures that the digital image correlation (DIC) measurement camera always remains in a constant temperature and pressure environment and can stably exert its original efficiency in space multi-physical field environments. Subsequently, a path-dependent DIC method based on a graphics processing unit computing parallel acceleration is proposed by combining a pre-interpolation strategy and integrated image technology, which realizes high-precision matching of digital images before and after deformation in a spatial multi-physical field environment and improves the computing efficiency. To address the problem that a common reference point may deform significantly in a space environment with a large temperature change, which leads to inaccurate system accuracy, combined with a random sampling consistency algorithm and singular value decomposition method, the optimal registration of the coordinate system and the solution of deformation were realized by setting the threshold of the reference point margin screening. Finally, a three-dimensional deformation measurement system in high- and low-temperature vacuum environments was built, and the three-dimensional deformation measurement of the satellite antenna in high- and low-temperature vacuum environments was verified, which proves the effectiveness and accuracy of the above method.
Demonstration of bonding interaction by attraction and repulsion forces measurement using disc magnets
Authors: Freitas W P S , Carvalho Jr P S , Calheiro L B , Goncalves A M B 
Published: March 2024

Abstract
Using a 3D-printed device, an Arduino board, and a force sensor, we measured the force interaction as a function of the distance in an apparatus-like ‘magnetic tractor beam’. This apparatus has been designed to demonstrate the nature of the chemical bond. The magnet configuration is such that the interaction follows a potential analogous to that described by Leonardo–Jones for a chemical bond. This similarity can be applied to demonstrate chemical bonds in teaching science.
Teaching physics remotely: determining the speed of sound in the air using a pan flute
Authors: Filho Luiz Artur Cordeiro , Bastos Rodrigo Oliveira 
Published: March 2024

Abstract
The COVID-19 pandemic led to the closure of schools and the transition to online teaching, making it necessary to find solutions for lab-based subjects such as experimental physics. In scenarios like this, a good alternative is for students to conduct experiments at home. In this study, we evaluated the potential of a pan flute for teaching acoustics at a distance. We explored the simplicity of assembly, the need for only common materials, and the ability to collect data at home with audio software support. To explore the feasibility of the project, a model of the flute was built. Data were collected, and the average value obtained for the speed of sound in the air was 338 m s−1, with a relative error of 1.4% to the expected value. During the pandemic, this experiment was integrated into two undergraduate courses and the students successfully completed the construction of the instrument, collected data, and estimated the speed of sound, demonstrating positive results in distance learning.
En route to superhard and 1D conductive carbon allotropes via unusual sp
2–sp
3 bonding configuration
Authors: Wang Yujia , Wang Xingyu , Liu Jinyu , Zhang Xinxin , Zhang Miao , Liu Hanyu 
Published: March 2024

Abstract
Carbon structures with sp
2–sp
3 hybrid bonds were expected to exhibit both excellent mechanical and electronic properties. Here, we theoretically design several unique carbon structures, which contain unusual sp
2–sp
3 hybrid bonds. We found that the introduction of sp
2 bonding units into carbon structure with sp
3 bonding can tune the electronic densities of state at Fermi level, especially resulting in 1D conductive channels in 3D structures. Further simulations indicate that Vickers hardness of these structures is close to diamond via the increase in sp
3 building blocks. Our current work provides insights into the design of carbon structures with both excellent superhard and remarkably metallic properties.
High-precision Astrometry and Photometry with the JWST/MIRI Imager
Authors: Libralato Mattia , Argyriou Ioannis , Dicken Dan , García Marín Macarena , Guillard Pierre , Hines Dean C. , Kavanagh Patrick J. , Kendrew Sarah , Law David R. , Noriega-Crespo Alberto , Álvarez-Márquez Javier 
Published: March 2024

Abstract
Astrometry is one of the main pillars of astronomy, and one of its oldest branches. Over the years, an increasing number of astrometric works by means of Hubble Space Telescope (HST) data have revolutionized our understanding of various phenomena. With the launch of JWST, it becomes almost instinctive to want to replicate or improve these results with data taken with the newest, state-of-the-art, space-based telescope. In this regard, the initial focus of the community has been on the Near-Infrared detectors on board of JWST because of their high spatial resolution. This paper begins the effort to capture and apply what has been learned from HST to the Mid-InfraRed Instrument (MIRI) of JWST by developing the tools to obtain high-precision astrometry and photometry with its imager. We describe in detail how to create accurate effective point-spread-function (ePSF) models and geometric-distortion corrections, analyze their temporal stability, and test their quality to the extent of what is currently possible with the available data in the JWST MAST archive. We show that careful data reduction provides deep insight on the performance and intricacies of the MIRI imager, and of JWST in general. In an effort to help the community devise new observing programs, we make our ePSF models and geometric-distortion corrections publicly available.
Nonlinear system dynamics of calcium and nitric oxide due to cell memory and superdiffusion in neurons
Authors: Pawar Anand , Pardasani Kamal Raj 
Published: March 2024

Abstract
The integer-order interdependent calcium ([Ca2+]) and nitric oxide (NO) systems are unable to shed light on the influences of the superdiffusion and memory in triggering Brownian motion (BM) in neurons. Therefore, a mathematical model is constructed for the fractional-order nonlinear spatiotemporal systems of [Ca2+] and NO incorporating reaction-diffusion equations in neurons. The two-way feedback process between [Ca2+] and NO systems through calcium feedback on NO production and NO feedback on calcium through cyclic guanosine monophosphate (cGMP) with plasmalemmal [Ca2+]-ATPase (PMCA) was incorporated in the model. The Crank–Nicholson scheme (CNS) with Grunwald approximation along spatial derivatives and L1 scheme along temporal derivatives with Gauss–Seidel (GS) iterations were employed. The numerical outcomes were analyzed to get insights into superdiffusion, buffer, and memory exhibiting BM of [Ca2+] and NO systems. The conditions, events and mechanisms leading to dysfunctions in calcium and NO systems and causing different diseases like Parkinson’s were explored in neurons.