bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tunable Perpendicular Magnetoresistive Sensor Driven by Shape and Substrate Induced Magnetic Anisotropy
Authors: Barrera Aleix , Fourneau Emile , Martín Sergi , Batllori Josep Maria , Alcalá Jordi , Balcells Lluís , Mestres Narcís , Nguyen Ngoc Duy , Sanchez Alvaro , Silhanek Alejandro V. , Palau Anna 
Published: December 2022

AbstractControl of magnetization reversal processes is a key issue for the implementation of magnetic materials in technological applications. The modulation of shape magnetic anisotropy in nanowire structures with a high aspect ratio is an efficient way to tune sharp in‐plane magnetic switching. However, control of fast magnetization reversal processes induced by perpendicular magnetic fields is much more challenging. Here, tunable sharp magnetoresistance changes, triggered by out‐of‐plane magnetic fields, are demonstrated in thin permalloy strips grown on LaAlO3 single crystal substrates. Micromagnetic simulations are used to evaluate the resistance changes of the strips at different applied field values and directions and correlate them with the magnetic domain distribution. The experimentally observed sharp magnetic switching, tailored by the shape anisotropy of the strips, is properly accounted for by numerical simulations when considering a substrate‐induced uniaxial magnetic anisotropy. These results are promising for the design of magnetic sensors and other advanced magnetoresistive devices working with perpendicular magnetic fields by using simple structures.
Data‐Driven Machine Learning for Understanding Surface Structures of Heterogeneous Catalysts
Authors: Li Haobo , Jiao Yan , Davey Kenneth , Qiao Shi‐Zhang 
Published: December 2022

AbstractThe design of heterogeneous catalysts is necessarily surface‐focused, generally achieved via optimization of adsorption energy and microkinetic modelling. A prerequisite is to ensure the adsorption energy is physically meaningful is the stable existence of the conceived active‐site structure on the surface. The development of improved understanding of the catalyst surface, however, is challenging practically because of the complex nature of dynamic surface formation and evolution under in‐situ reactions. We propose therefore data‐driven machine‐learning (ML) approaches as a solution. In this Minireview we summarize recent progress in using machine‐learning to search and predict (meta)stable structures, assist operando simulation under reaction conditions and micro‐environments, and critically analyze experimental characterization data. We conclude that ML will become the new norm to lower costs associated with discovery and design of optimal heterogeneous catalysts.
Switchable and Highly Robust Ultralong Room‐Temperature Phosphorescence from Polymer‐Based Transparent Films with Three‐Dimensional Covalent Networks for Erasable Light Printing
Authors: Li Jian‐An , Zhang Letian , Wu Chunlei , Huang Zihao , Li Shufeng , Zhang Huaqing , Yang Qingchen , Mao Zhu , Luo Suilian , Liu Cong , Shi Guang , Xu Bingjia 
Published: December 2022

AbstractIn this work, an efficient polymer‐based organic afterglow system, which shows reversible photochromism, switchable ultralong organic phosphorescence (UOP), and prominent water and chemical resistance simultaneously, has been developed for the first time. By doping phenoxazine (PXZ) and 10‐ethyl‐10H‐phenoxazine (PXZEt) into epoxy polymers, the resulting PXZ@EP‐0.25 % and PXZEt@EP‐0.25 % films show unique photoactivated UOP properties, with phosphorescence quantum yields and lifetimes up to 10.8 % and 845 ms, respectively. It is found that the steady‐state luminescence and UOP of PXZ@EP‐0.25 % are switchable by light irradiation and thermal annealing. Moreover, the doped films can still produce conspicuous UOP after soaking in water, strong acid and base, and organic solvents for more than two weeks, exhibiting outstanding water and chemical resistance. Inspired by these exciting results, the PXZ@EP‐0.25 % has been successfully exploited as an erasable transparent film for light printing.
Olefin Dihydroxylation Using Nitroarenes as Photoresponsive Oxidants
Authors: Hampton Charlotte , Simonetti Marco , Leonori Daniele 
Published: December 2022

AbstractVicinal diols are abundant among natural and synthetic molecules, and also represent valuable intermediates throughout organic synthesis. Olefin dihydroxylation is an effective strategy to access these derivatives owing to the broad range and availability of alkene feedstocks. OsO4 is among the most used reagents to achieve this transformation, yet its high toxicity and cost remain concerning. Herein, we present a mechanistically distinct strategy for olefin dihydroxylation using nitroarenes as photoresponsive oxidants. Upon purple LEDs irradiation, these species undergo a [3+2]‐photocycloaddition with a wide range of olefins to give stable 1,3,2‐dioxazolidine intermediates. These species can be accumulated in solution and then reduced in situ to the desired diols, utilising readily accessible and easy to handle solid reagents as H2 surrogates.
An Activatable NIR‐II Fluorescent Reporter for In Vivo Imaging of Amyloid‐β Plaques
Authors: Miao Jia , Miao Minqian , Jiang Yue , Zhao Min , Li Qing , Zhang Yuan , An Yi , Pu Kanyi , Miao Qingqing 
Published: December 2022

AbstractFluorescence imaging in the second near‐infrared (NIR‐II) window holds great promise for in vivo visualization of amyloid‐β (Aβ) pathology, which can facilitate characterization and deep understanding of Alzheimer's disease (AD); however, it has been rarely exploited. Herein, we report the development of NIR‐II fluorescent reporters with a donor‐π‐acceptor (D‐π‐A) architecture for specific detection of Aβ plaques in AD‐model mice. Among all the designed probes, DMP2 exhibits the highest affinity to Aβ fibrils and can specifically activate its NIR‐II fluorescence after binding to Aβ fibrils via suppressed twisted intramolecular charge transfer (TICT) effect. With suitable lipophilicity for ideal blood–brain barrier (BBB) penetrability and deep‐tissue penetration of NIR‐II fluorescence, DMP2 possesses specific detection of Aβ plaques in in vivo AD‐model mice. Thus, this study presents a potential agent for non‐invasive imaging of Aβ plaques and deep deciphering of AD progression.
Real‐Time In Situ Volatile Organic Compound Sensing by a Dual‐Emissive Polynuclear Ln‐MOF with Pronounced LnIII Luminescence Response
Authors: Pang Jing‐Jing , Yao Zhao‐Quan , Zhang Kuo , Li Quan‐Wen , Fu Zi‐Xuan , Zheng Ran , Li Wei , Xu Jian , Bu Xian‐He 
Published: December 2022

AbstractLanthanide metal–organic frameworks (Ln‐MOFs) are promising for luminescence detection of volatile organic compound (VOC) vapors, but usually suffer from the silent or quenched Ln3+ emission. Herein, we report a new dual‐emissive Eu‐MOF composed of the coordinatively unsaturated Eu9 clusters that afford abundant open metal sites to form a confined “binding pocket” to facilitate the preconcentration and recognition of VOCs. Single‐crystal structural analyses reveal that specific analytes can replace the OH oscillators in the first coordination sphere of Eu3+ and form a unique hydrogen‐bonding second‐sphere adduct tying adjacent Eu9 clusters together to minimize their nonradiative vibrational decay. With the promoted Eu3+ luminescence, the MOF realizes real‐time in situ visual sensing of THF vapor (<1 s) and shows a quantitative ratiometric response to the vapor pressure with a limit of detection down to 17.33 Pa. Also, it represents a top‐performing ratiometric luminescent thermometer.
Thermal responsive photopolymerization 3D printed shape memory polymers enhanced by heat transfer media
Authors: Yang Shuochen , Chen Tingjun , Bu Zesen , Tuo Xiaohang , Gong Yumei , Guo Jing 
Published: December 2022

AbstractPhotosensitive resins are the research and development foundation of photopolymerization 3D printed products. We have found that cyclic trimethylolpropane formal acrylate (CTFA) and 2‐phenoxy ethyl acrylate (PHEA) resins are suitable for UV‐curable 3D printing consumables. Their photopolymers exhibit excellent shape memory characteristics at shape change temperature, shape recovery speed, shape extension limit, and shape maintenance ability. Moreover, we have analyzed the internal and external factors affecting these shape memory characteristics through several tests, including multi‐scale structure observation, thermal analysis, and mechanical tests. Furthermore, the complex hollow model design and multiple heat transfer media are adopted to expand the concept of additive manufacturing, and improve the practicability of 4D printing intelligent products.
“Why do they do it?”: The short‐story task for measuring fiction‐based mentalizing in autistic and non‐autistic individuals
Authors: Jarvers Irina , Döhnel Katrin , Blaas Lore , Ullmann Manuela , Langguth Berthold , Rupprecht Rainer , Sommer Monika 
Published: December 2022

AbstractThis study aimed to validate the short‐story‐task (SST) based on Dodell‐Feder et al. as an instrument to quantify the ability of mentalizing and to differentiate between non‐autistic adults and autistic adults, who may have acquired rules to interpret the actions of non‐autistic individuals. Autistic (N = 32) and non‐autistic (N = 32) adult participants were asked to read “The End of Something” by Ernest Hemingway and to answer implicit and explicit mentalizing questions, and comprehension questions. Furthermore, verbal and nonverbal IQ was measured and participants were asked how much fiction they read each month. Mentalizing performance was normally distributed for autistic and non‐autistic participants with autistic participants scoring in the lower third of the distribution. ROC (receiver operator curve) analysis revealed the task to be an excellent discriminator between autistic and non‐autistic participants. A linear regression analysis identified number of books read, years of education and group as significant predictors. Overall, the SST is a promising measure of mentalizing. On the one hand, it differentiates among non‐autistic individuals and on the other hand it is sensitive towards performance differences in mentalizing among autistic adults. Implications for interventions are discussed.
Continuity of temperament subgroup classifications from infancy to toddlerhood in the context of early autism traits
Authors: Chetcuti Lacey , Uljarević Mirko , Varcin Kandice J. , Boutrus Maryam , Dimov Stefanie , Pillar Sarah , Barbaro Josephine , Dissanayake Cheryl , Green Jonathan , Whitehouse Andrew J. O. , Hudry Kristelle ,   the AICES Team
Published: December 2022

AbstractOur previous cross‐sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood. 103 infants (68% male) showing early signs of autism were referred to the study by community healthcare professionals and seen for assessments when aged around 12‐months (Time 1), 18‐months (Time 2), and 24‐months (Time 3). Latent profile analysis revealed inhibited/low positive, active/negative reactive, and sociable/well‐regulated subgroups at each timepoint, and a unique reactive/regulated subgroup at Time 3. Cross‐tabulations indicated a significant likelihood of children having a recurrent subgroup classification from one timepoint to the next, and no apparent patterns to the movement of children who did change from one subgroup to another over time. Temperament subgroups were associated with concurrent child social–emotional functioning and autism traits, but unrelated to child age, sex, or developmental level. These findings suggest that temperament subgroup classifications might represent a reliable and very early indicator of autism characteristics and social–emotional functioning among infants/toddlers with autism traits.
Kappe+ – Überprüfung einer traditionellen Bauweise auf ihre Leistungsfähigkeit für das Bauen von morgen
Authors: Gengnagel Christoph , Brechenmacher Emil 
Published: December 2022

AbstractDeckensysteme sind aufgrund ihres Materialvolumens eine der größten Herausforderungen im Geschossbau auf dem Weg zu klimaschonendem Bauen. Hier erweist sich die traditionelle gemauerte Kappendecke als robuste leistungsfähige Alternative mit Innovationspotenzial. Im Vergleich zu weitverbreiteten Stahlbetonflachdecken erfordert ihre Herstellung nur 50 % der grauen Energie. Zu weiteren Untersuchung ihres Anwendungspotenzials wurden sechs Deckensysteme für eine Büro‐ oder Schulnutzung vergleichend untersucht. Für diese Konstruktionen wurden auf Basis einer Vordimensionierung detaillierte Lebenszyklusanalysen (LCA) durchgeführt. Während die Stahlbetonflachdecke ein Global Warming Potential (GWP) von 136 kgCO2e/m2 hat, erreicht die Kappendecke im günstigsten Fall einen Wert von nur 64 kgCO2e/m2. Neben der Bewertung des Energieeinsatzes in der Herstellung werden sowohl auf Material‐ als auch auf Konstruktionsseite die Prinzipien der Circular Economy angewendet. Im Rahmen von Praxisexperimenten wurden an der historischen Konstruktion drei Transformationen vorgenommen: So entsteht durch die Substitution der Stahlträger im System durch Holz ein neuartiges Holz‐Mauerwerk‐Hybridsystem. Mithilfe digitaler Fertigungswerkzeuge wird eine wirtschaftliche und zeitgemäße Herstellungsweise aufgezeigt. Durch die Optimierung der verwendeten Ziegelsteine wird die Rohdecke um akustische Eigenschaften multifunktional angereichert.
Optical, emission, and excitation dynamics of Eu3+‐doped bismuth‐based phosphate glass for visible display laser applications
Authors: Babu P. Reddi , Gelija Devarajulu , Pasupuleti Kedhareswara Sairam , Kumar B. Kiran , Sushma N. John , Kim Moon‐Deock , Raju B. Deva Prasad 
Published: December 2022

AbstractEu3+‐doped‐bismuth‐based phosphate glasses with chemical equation (60 − x)P2O5–20Bi2O3−10Na2CO3–10SrF2–xEu2O3 (PBNSEu), (where x = 0, 0.1, 0.5, 1.0, 1.5 and 2 mol%) were fabricated using the melt‐quenching method. Obtain X‐ray diffraction (XRD), energy‐dispersive X‐ray (EDAX), and Fourier transform infrared (FTIR) spectra were used to characterize the structure of the prepared PBNSEu glass. The J–O (Judd–Ofelt) intensity parameters (Ω2, Ω4) were estimated using photoluminescence emission spectra. When excited with a xenon lamp at λexc = 394 nm, the most intense red‐emission transition occurred at ~612 nm (5D0→7F2). J–O intensity parameters were used to calculate radiative properties, whereas the radiative branching ratio (βR), radiative transition probability (AR), radiative lifetime (τR), and total radiative transition rate (Aτ) were calculated for the transitions 5D0→7FJ (where J = 0–4) and were obtained in the emission spectra for europium ion‐doped in the current glass. Using the CIE1931 chromaticity coordinates axes, the colours of various concentrations of Eu3+ ion‐doped PBNS glass were evaluated using the emission spectra. Temperature‐dependent luminescence spectra were recorded for the optimized PBNSEu20 glass to calculate the activation energy. These results strongly suggested red components in w‐LEDs and visible display laser applications.
Stapled NRPS enhances the production of valinomycin in Escherichia coli
Authors: Huang Shuhui , Ba Fang , Liu Wan‐Qiu , Li Jian 
Published: December 2022

AbstractNonribosomal peptides (NRPs) are a large family of secondary metabolites with notable bioactivities, which distribute widely in natural resources across microbes and plants. To obtain these molecules, heterologous production of NRPs in robust surrogate hosts like Escherichia coli represent a feasible approach. However, reconstitution of the full biosynthetic pathway in a host often leads to low productivity, which is at least in part due to the low efficiency of enzyme interaction in vivo except for the well‐known reasons of metabolic burden (e.g., expression of large NRP synthetases—NRPSs with molecular weights of >100 kDa) and cellular toxicity on host cells. To enhance the catalytic efficiency of large NRPSs in vivo, here we propose to staple NRPS enzymes by using short peptide/protein pairs (e.g., SpyTag/SpyCatcher) for enhanced NRP production. We achieve this goal by introducing a stapled NRPS system for the biosynthesis of the antibiotic NRP valinomycin in E. coli. The results indicate that stapled valinomycin synthetase (Vlm1 and Vlm2) enables higher product accumulation than those two free enzymes (e.g., the maximum improvement is nearly fourfold). After further optimization by strain and bioprocess engineering, the final valinomycin titer maximally reaches about 2800 µg/L, which is 73 times higher than the initial titer of 38 µg/L. We expect that stapling NRPS enzymes will be a promising catalytic strategy for high‐level biosynthesis of NRP natural products.
Exploring facilitators and barriers to long‐term behavior change following health–wellness coaching for stroke prevention: A qualitative study conducted in Auckland, New Zealand
Authors: Holder Caroline , Krishnamurthi Rita , Theadom Alice 
Published: December 2022

AbstractIntroductionHealth–wellness coaching (HWC) has grown in popularity as a means of empowering individuals to take responsibility for their health behavior and make lifestyle changes to reduce their risk of stroke. Understanding the facilitators and barriers to long‐term behavior change is key if preventive strategies such as HWC are to be robust and effective. This study aimed to explore the experiences of people at risk of stroke after receiving HWC for stroke prevention, specifically the facilitators and barriers to long‐term behavior change from the perspective of study participants.MethodsAll participants received HWC as part of a randomized controlled trial 3 years earlier. Semi‐structured telephone interviews were conducted with eight participants from the trial sample. Interviews were audio‐recorded and transcribed verbatim. Reflexive thematic analysis was used to identify key concepts and themes.ResultsThree overarching themes were identified: “Awakening of the mind” captured the importance of seeing the bigger picture, recognizing the impact of potential disease and using skills and tools to support decision‐making. “It's not just about health behavior” conveyed the importance of being respectfully responsive to individual need and addressing emotional well‐being alongside physical health. “Social connectedness” encapsulated the significance of community engagement, accountability, and paying it forward.ConclusionsEnhancing awareness of personal risk and the impact of potential disease are facilitators of long‐term behavior change and should be incorporated into coaching conversations. This supports the process of “waking up” to health needs and the possibility of change, which are important precursors to long‐term change. Health coaching should be responsive to individual need, with emotional well‐being, happiness, and life satisfaction being addressed alongside physical health. The opportunity to develop skills to support decision‐making and self‐management should be included in coaching initiatives, to enhance self‐efficacy and help facilitate long‐term behavior change.
Nutrition claims influence expectations about food attributes, attenuate activity in reward‐associated brain regions during tasting, but do not impact pleasantness
Authors: Rramani Qëndresa , Barakat Youssef , Jacob George , Ohla Kathrin , Lim Shirley Xue Li , Schicker Doris , Freiherr Jessica , Saruco Elodie , Pleger Burkhard , Weber Bernd , Schultz Johannes 
Published: December 2022

AbstractIntroductionNutrition claims are one of the most common tools used to improve food decisions. Previous research has shown that nutrition claims impact expectations; however, their effects on perceived pleasantness, valuation, and their neural correlates are not well understood. These claims may have both intended and unintended effects on food perception and valuation, which may compromise their effect on food decisions.MethodsWe investigated the effects of nutrition claims on expectations, perceptions, and valuation of milk‐mix drinks in a behavioral (n = 110) and an fMRI (n = 39) study. In the behavioral study, we assessed the effects of a “fat‐reduced” and a “protein‐rich” nutrition claim on expected and perceived food attributes of otherwise equal food products. In the fMRI study, we investigated the effect of a “protein‐rich” claim on taste pleasantness perception and valuation, and on their neural correlates during tasting and swallowing.ResultsWe found that both nutrition claims increased expected and perceived healthiness and decreased expected but not perceived taste pleasantness. The “protein‐rich” claim increased expected but not perceived satiating quality ratings, while the “fat‐reduced” claim decreased both expected and perceived satiating quality ratings. In the absence vs. presence of the “protein‐rich” claim, we observed an increased activity in a cluster extending to the left nucleus accumbens during tasting and an increased functional connectivity between this cluster and a cluster in right middle frontal gyrus during swallowing.ConclusionAltogether, we found that nutrition claims impacted expectations and attenuated reward‐related responses during tasting but did not negatively affect perceived pleasantness. Our findings support highlighting the presence of nutrients with positive associations and exposure to foods with nutrition claims to increase their acceptance. Our study offers insights that may be valuable in designing and optimizing the use of nutrition claims.
Circular business models and the environment: Maturity levels of the circular economy and innovation in greener craft breweries
Authors: Julkovski Dulcimar José , Sehnem Simone , Ramos Maria da Conceição Pereira , Jabbour Charbel Jose Chiappetta 
Published: December 2022

AbstractThis article aims to highlight the level of maturity of the circular economy according to the ReSOLVE framework, the level of maturity of technical and biological cycles, and the level of maturity of sustaining and disruptive innovation in Brazilian and Portuguese craft brewing companies. Through a multiple case study in the craft brewery sector in the state of Santa Catarina (Brazil) and in the city of Porto (Portugal), a qualitative study was developed by means of a documentary analysis of secondary data, technical visits, and application of on‐site interviews with 11 Brazilian and 11 Portuguese companies. The results indicate that (I) Brazilian and Portuguese companies are at different maturity levels concerning the circular economy, according to the ReSOLVE framework; (II) the maturity levels of the technical and biological cycles can be identified in the recycling practices of both cases, with the 11 Portuguese companies operating at the optimized level while the Brazilian companies are moving toward optimization; and (III) regarding innovation maturity levels, sustaining innovation is incorporated and optimized in these 22 companies. Concerning disruptive innovations, the results show that Brazilian and Portuguese companies are at different stages. This study contributes to theory by linking circular economy constructs and innovation and introducing gastronomy as a new link between these constructs. For practitioners, it highlights the stages of maturity and practical actions that can guide the improvement of maturity levels. In terms of limitations, we cite the geography and population of the countries and states addressed, the pandemic, differing production volume between companies, and the scope of the businesses. We suggest that future studies replicate or expand the sample to other geographic regions, as well as apply the framework to other business segments.