bluuebunny/crossref_metadata_2025_split huggingface dataset:
MXenes as Superexcellent Support for Confining Single Atom: Properties, Synthesis, and Electrocatalytic Applications
Authors: Zhang Mingming , Lai Cui , Li Bisheng , Liu Shiyu , Huang Danlian , Xu Fuhang , Liu Xigui , Qin Lei , Fu Yukui , Li Ling , Yi Huan , Chen Liang 
Published: May 2021

AbstractSingle atom catalysts (SACs) have shown their noticeable potential and gradually become a new favorite in catalytic field due to the particular selectivity, high catalytic performance, and strong durability. The most important factor in the synthesis of SACs is the selection of appropriate support and formation of metal–support interaction. Among a large number of nanomaterials, MXenes can be utilized as benign supports for fixing SACs because of their expansive specific surface area, regulable bandgap, superior electronic conductivity, and strong mechanical stability. The structure and property of MXenes can be manipulated by changing transition metal elements and surface termination. Here, the uniqueness and superiority of MXenes as superexcellent supports for confining SACs are analyzed from structure and property. The synthetic strategy of MXene‐supported SACs is also summarized, especially emphasizing the immobilization of isolated atom against aggregation by utilizing the formidable metal–support covalent coordination interaction. In addition, the applications of MXene‐supported SACs in electrocatalytic field are highlighted, including hydrogen evolution reaction, oxygen evolution reaction, overall water splitting, oxygen reduction reaction, and nitrogen reduction reaction. Finally, the challenges and prospects are pointed out for the further understanding and practical application of MXene‐supported SACs in electrocatalysis.
Division of labor in epitranscriptomics: What have we learnt from the structures of eukaryotic and viral multimeric RNA methyltransferases?
Authors: Graille Marc 
Published: May 2021

AbstractThe translation of an mRNA template into the corresponding protein is a highly complex and regulated choreography performed by ribosomes, tRNAs, and translation factors. Most RNAs involved in this process are decorated by multiple chemical modifications (known as epitranscriptomic marks) contributing to the efficiency, the fidelity, and the regulation of the mRNA translation process. Many of these epitranscriptomic marks are written by holoenzymes made of a catalytic subunit associated with an activating subunit. These holoenzymes play critical roles in cell development. Indeed, several mutations being identified in the genes encoding for those proteins are linked to human pathologies such as cancers and intellectual disorders for instance. This review describes the structural and functional properties of RNA methyltransferase holoenzymes, which when mutated often result in brain development pathologies. It illustrates how structurally different activating subunits contribute to the catalytic activity of these holoenzymes through common mechanistic trends that most likely apply to other classes of holoenzymes.This article is categorized under:
RNA Processing > RNA Editing and Modification
RNA Processing > Capping and 5′ End Modifications
Granular micromechanics‐based identification of isotropic strain gradient parameters for elastic geometrically nonlinear deformations
Authors: Barchiesi Emilio , Misra Anil , Placidi Luca , Turco Emilio 
Published: May 2021

AbstractAlthough the primacy and utility of higher‐gradient theories are being increasingly accepted, values of second gradient elastic parameters are not widely available due to lack of generally applicable methodologies. In this paper, we present such values for a second‐gradient continuum. These values are obtained in the framework of finite deformations using granular micromechanics assumptions for materials that have granular textures at some ‘microscopic’ scale. The presented approach utilizes so‐called Piola's ansatz for discrete‐continuum identification. As a fundamental quantity of this approach, an objective relative displacement between grain‐pairs is obtained and deformation energy of grain‐pair is defined in terms of this measure. Expressions for elastic constants of a macroscopically linear second gradient continuum are obtained in terms of the micro‐scale grain‐pair parameters. Finally, the main result is that the same coefficients, both in the 2D and in the 3D cases, have been identified in terms of Young's modulus, of Poisson's ratio and of a microstructural length.
A Compositional Pluralist Semantics for Extensional and Attitude Verbs
Authors: Liefke Kristina 
Published: May 2021

AbstractWe propose a new account of linguistic content that reconciles content-pluralism with compositionality. This is achieved by integrating truth-conditional content and attitude report content into a single notion of content. A parametrized version of this notion (with parameters for agents, times, and information states) serves as input to the compositional semantic machinery. By supplying different parameter-values to the parametrized contents of their complements, different verbs select for different components of the complement’s integrated content. The resulting account explains the different substitution properties of extensional and attitude constructions and captures the role of agents’ epistemicperspective in the determination of attitude content. The account improves upon other accounts of truth-conditional and attitude content (esp. two-dimensional semantics) by interpreting different occurrences of an expression—in extensional and in attitude embeddings—as objects ofthe samesemantic type, and by explaining the substitution-resistance of attitudinal embeddings of extensional constructions.
When Mechanical Computations Explain Better
Authors: Zipoli Caiani Silvano 
Published: May 2021

AbstractIn this paper I defend the epistemic value of the representational-computational view of cognition by arguing that it has explanatory merits that cannot be ignored. To this end, I focus on the virtue of a computational explanation of optic ataxia, a disorder characterized by difficulties in executing visually-guided reaching tasks, although ataxic patients do not exhibit any specific disease of the muscular apparatus. I argue that addressing cases of patients who are suffering from optic ataxia by invoking a causal role for internal representations is more effective than merely relying on correlations between bodily and environmental variables. This argument has consequences for the epistemic assessment of radical enactivism, whichRE invokes the Dynamical System Theory as the best tool for explaining cognitive phenomena.
Structure and Ontology in Nonlocal Readings of Adjectives
Authors: Morzycki Marcin 
Published: May 2021

AbstractIn certain uses, adjectives appear to make the semantic contribution normally associated with adverbs. These readings are often thought to be a peripheral phenomenon, restricted to one corner of the grammar and just a handful of lexical items. I’ll argue that it’s actually considerably more general than is often recognized, and that it admits two fundamentally different modes of explanation: in terms of the syntactic machinery that undergirds these structures and in terms of the ontology of the objects manipulated by its semantics. Both modes of explanation have been suggested for some of the puzzles in this domain, and I’ll argue both are necessary. With respect to adjectives includingaverageandoccasional, the key insight is that their lexical semantics is fundamentally about kinds. But to arrive at a more general theory of adverbial readings, it is also necessary to further articulate the compositional semantics. In this spirit, I’ll argue that these adjectives actually have the semantic type of quantificational determiners likeevery. If this way of thinking about adverbial readings is on the right track, it instantiates a means by which these two distinct modes of explanation—and the distinct aspects of cognition they may ultimately be associated with—both play a crucial role in bringing about the apparently aberrant behavior of this class of adjectives.
How Can Semantics Avoid the Troubles with the Analytic/Synthetic Distinction?
Authors: de Almeida Roberto G. , Antal Caitlyn 
Published: May 2021

AbstractAt least since Quine (From a logical point of view. Harvard University Press, Cambridge, MA, 1953) it has been suspected that a semantic theory that rests on defining features, or on what are taken to be “analytic” properties bearing on the content of lexical items, rests on a fault line. Simply put, there is no criterion for determining which features or propertiesFeatures are to be analytic and which ones are to be synthetic or contingent on experience. Deep down, our concern is what cognitive science and its several competing semantic theories have to offer in terms of solution. We analyze a few cases, which run into trouble by appealing to analyticity, and propose our own solution to this problem: a version of atomism cum inferences, which we think it is the only way out of the dead-end of analyticity. We start off by discussing several guiding assumptions regarding cognitive architecture and on what we take to be methodological imperatives for doing semantics within cognitive science—that is a semantics that is concerned with accounting for mental states. We then discuss theoretical perspectives on lexical causatives and the so-called “coercion” phenomenon or, in our preferred terminology, indeterminacy. And we advance, even if briefly, a proposal for the representation and processing of conceptual content that does away with the analytic/synthetic distinction. We argue that the only account of mental content that does away with the analytic/synthetic distinction is atomism. The version of atomism that we sketch accounts for the purported effects of analyticity with a system of inferences that are in essence synthetic and, thus, not content constitutive.
Perception, Types and Frames
Authors: Cooper Robin 
Published: May 2021

AbstractWe present a view of perception as the classification of objects and events in terms of types in the sense of TTR, a Type Theory with Records. We argue that such types can be used to give a formal model of concepts and cognitive processing involving concepts. This yields a view that natural language semantics is based on our cognitive perceptual ability. The paper provides an overview of some key ideas in TTR including the important notion of record type. We suggest that record types can be used to model frames in a way that relates to the Düsseldorf notion of frame as well as those of Fillmore and Barsalou.
A Home of Our Own: The National Patient Safety Foundation
Authors: Leape Lucian L. 
Published: May 2021

AbstractPrior to the first Annenberg Conference, none of us who were interested in patient safety had given any thought to forming a national organization—except for Marty Hatlie, the AMA’s legal counsel. Marty was intrigued by the success of the Anesthesia Patient Safety Foundation (APSF) that Jeep Pierce and Jeff Cooper had founded. He envisioned the formation of a similar national organization as the centerpiece of the refashioning of the AMA’s stance on patient safety after its stinging legislative defeat of tort reform.
A Community of Concern: The Massachusetts Coalition for the Prevention of Medical Errors
Authors: Leape Lucian L. 
Published: May 2021

AbstractOne day in January 1997, John Noble, an internist from Boston City Hospital who I knew from somewhere—perhaps residency days—walked into my office and said, “We should form a state coalition for the prevention of medical errors.” His idea was to bring to the table the key players in health who tended not to talk much with one another—regulators and the regulated, academics and practitioners, etc.
When the IOM Speaks: IOM Quality of Care Committee and Report
Authors: Leape Lucian L. 
Published: May 2021

AbstractOn July 7, 1998, I received an invitation from the Institute of Medicine (IOM) to become a member of the Committee on Quality of Health Care in America. The Committee, chaired by Bill Richardson of the Kellogg Foundation, was an outgrowth of an IOM Roundtable on Quality of Care, chaired by Mark Chassin and Robert Galvin.
Hollywood’s R&D Complex
Authors: Gowanlock Jordan 
Published: May 2021

AbstractThis chapter of Animating Unpredictable Effects studies how Hollywood became a producer of software and sponsor of R&D. Using archival research of publications and conference records, it charts the computer graphics research group ACM SIGGRAPH’s origins in the military-industrial-academic complex and notes the rise of a new research complex driven by media industries, with the Hollywood blockbuster playing a key role in driving investment. This chapter also studies how the economics of film industries were transformed by R&D using SEC financial filings from studios. This investigation of the economics of R&D helps explain the economic instability of the VFX industry, which has been a key topic of discussion since the closure of Rhythm and Hues and the rise of VFX worker movements.
Animating Management
Authors: Gowanlock Jordan 
Published: May 2021

AbstractThis chapter studies how the management theory of digital animation studios like Pixar Animation has been influenced by the paradigms that premise their unpredictable algorithmic animations. This epistemic frame leads Pixar to represent creativity as the unpredictable product of carefully controlled conditions and parameters. This collapse of technology, animation, and management science helps to sculpt Pixar’s own corporate image as both an animation studio and a technology company. These findings nuance existing accounts of post-Fordist labor in creative industries.
Higher-spin particles at high-energy colliders
Authors: Criado Juan C. , Djouadi Abdelhak , Koivunen Niko , Raidal Martti , Veermäe Hardi 
Published: May 2021

Abstract
Using an effective field theory approach for higher-spin fields, we derive the interactions of colour singlet and electrically neutral particles with a spin higher than unity, concentrating on the spin-3/2, spin-2, spin-5/2 and spin-3 cases. We compute the decay rates and production cross sections in the main channels for spin-3/2 and spin-2 states at both electron-positron and hadron colliders, and identify the most promising novel experimental signatures for discovering such particles at the LHC. The discussion is qualitatively extended to the spin-5/2 and spin-3 cases. Higher-spin particles exhibit a rich phenomenology and have signatures that often resemble the ones of supersymmetric and extra-dimensional theories. To enable further studies of higher-spin particles at collider and beyond, we collect the relevant Feynman rules and other technical details.
Light-cone sum rules for proton decay
Authors: Haisch Ulrich , Hala Amando 
Published: May 2021

Abstract
We estimate the form factors that parametrise the hadronic matrix elements of proton-to-pion transitions with the help of light-cone sum rules. These form factors are relevant for semi-leptonic proton decay channels induced by baryon-number violating dimension-six operators, as typically studied in the context of grand unified theories. We calculate the form factors in a kinematical regime where the momentum transfer from the proton to the pion is space-like and extrapolate our final results to the regime that is relevant for proton decay. In this way, we obtain estimates for the form factors that show agreement with the state-of-the-art calculations in lattice QCD, if systematic uncertainties are taken into account. Our work is a first step towards calculating more involved proton decay channels where lattice QCD results are not available at present.
3D printed prototyping tools for flexible sheet metal drawing
Authors: Frohn-Sörensen Peter , Geueke Michael , Tuli Tadele Belay , Kuhnhen Christopher , Manns Martin , Engel Bernd 
Published: May 2021

AbstractDue to the change from mass production to mass personalized production and the resulting intrinsic product flexibility, the automotive industry, among others, is looking for cost-efficient and resource-saving production methods to combining global just-in-time production. In addition to geometric manufacturing flexibility, additive manufacturing offers a resource-saving application for rapid prototyping and small series in predevelopment. In this study, the FDM process is utilized to manufacture the tooling to draw a small series of sheet metal parts in combination with the rubber pad forming process. Therefore, a variety of common AM polymer materials (PETG, PLA, and ABS) is compared in compression tests, from which PLA is selected to be applied as sheet metal forming die. For the rubber pad forming process, relevant processing parameters, i.e., press force and rubber cushion hardness, are studied with respect to forming depth. The product batch is examined by optical evaluation using a metrological system. The scans of the tool and sheet metal parts confirm the mechanical integrity of the additively manufactured die from polymer and thus the suitability of this approach for small series in sheet metal drawing processes, e.g., for automotive applications.
Microfluidic ion stripper for removal of trifluoroacetic acid from mobile phases used in HILIC-MS of intact proteins
Authors: Wouters Sam , Eeltink Sebastiaan , Haselberg Rob , Somsen Govert W. , Gargano Andrea F. G. 
Published: May 2021

AbstractTrifluoroacetic acid (TFA) is commonly used as mobile phase additive to improve retention and peak shape characteristics in hydrophilic interaction liquid chromatography (HILIC) of intact proteins. However, when using electrospray ionization-mass spectrometry (ESI-MS) detection, TFA may cause ionization suppression and adduct formation, leading to reduced analyte sensitivity. To address this, we describe a membrane-based microfluidic chip with multiple parallel channels for the selective post-column removal of TFA anions from HILIC. An anion-exchange membrane was used to physically separate the column effluent from a stripper flow solution comprising acetonitrile, formic acid, and propionic acid. The exchange of ions allowed the post-column removal of TFA used during HILIC separation of model proteins. The multichannel design of the device allows the use of flow rates of 0.2 mL/min without the need for a flow splitter, using mobile phases containing 0.1% TFA (13 mM). Separation selectivity and efficiency were maintained (with minor band broadening effects) while increasing the signal intensity and peak areas by improving ionization and reducing TFA adduct formation.
Graphical abstract
An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem
Authors: Fajemisin Adejuyigbe O. , Climent Laura , Prestwich Steven D. 
Published: May 2021

AbstractThis paper presents a new class of multiple-follower bilevel problems and a heuristic approach to solving them. In this new class of problems, the followers may be nonlinear, do not share constraints or variables, and are at most weakly constrained. This allows the leader variables to be partitioned among the followers. We show that current approaches for solving multiple-follower problems are unsuitable for our new class of problems and instead we propose a novel analytics-based heuristic decomposition approach. This approach uses Monte Carlo simulation andk-medoids clustering to reduce the bilevel problem to a single level, which can then be solved using integer programming techniques. The examples presented show that our approach produces better solutions and scales up better than the other approaches in the literature. Furthermore, for large problems, we combine our approach with the use of self-organising maps in place ofk-medoids clustering, which significantly reduces the clustering times. Finally, we apply our approach to a real-life cutting stock problem. Here a forest harvesting problem is reformulated as a multiple-follower bilevel problem and solved using our approach.
Diffusion-weighted imaging diagnostic algorithm in patients with suspected pleural malignancy
Authors: Jiang Wenrui , Han Zhiping , Tang Xing , Yin Hong , Zhang Jian 
Published: May 2021

Abstract
Objectives
The purpose of this study was to analyze the diagnostic performance and clinical application of diffusion-weighted imaging (DWI) in patients with suspected pleural malignancy (PM).

Methods
A retrospective review of patients with suspected PM was performed from March 2014 to August 2018 (NCT 02320617). All patients underwent chest DWI and computed tomography (CT) with cytological or histopathological findings as reference standards. The diagnostic performance of DWI and CT was analyzed and compared. A DWI diagnostic algorithm with three sequential steps was established.

Results
Seventy patients (61.6 ± 13.6 years; 47 males and 23 females) were included. The sensitivity of DWI (94.2%, 49/52) for the diagnosis of PM was significantly higher compared with CT (67.3%, 35/52), with similar specificity (72.2% vs. 72.2%, respectively). The apparent diffusion coefficient of malignant lesions (1.15 ± 0.32 × 10−3 mm2/s) was lower compared with benign lesions (1.46 ± 0.68 × 10−3 mm2/s), but the cutoff value was difficult to define for overlap between groups. Approximately 62.5% (5/8) of invasive procedures were avoided when using the DWI diagnostic algorithm in patients with suspected PM without N3 lymph node or extra-thoracic metastasis.

Conclusion
Including DWI into the diagnostic algorithm of suspected PM can effectively identify malignancy and avoid unnecessary invasive procedures, which may have some potential in clinical application.

Key Points
• Diffusion-weighted imaging can identify pleural malignancy much more efficiently than CT.
• A diffusion-weighted imaging diagnostic algorithm helped to avoid unnecessary invasive procedures in patients without N3 lymph node or extra-thoracic lesions.
• A hyperintense signal on DWI at a high b value (800 s/mm2) but not at a low b value (50 s/mm2) was a reliable signature of PM.
N-terminal pro-brain natriuretic peptide and coronary collateral formation in patients undergoing primary percutaneous coronary intervention
Authors: Park Bo Eun , Lee Jang Hoon , Kim Hyeon Jeong , Kim Hong Nyun , Jang Se Yong , Bae Myung Hwan , Yang Dong Heon , Park Hun Sik , Cho Yongkeun , Chae Shung Chull 
Published: May 2021

AbstractThere is insufficient information on the relationship between the N-terminal pro-brain natriuretic peptide (NT-proBNP) level and collateral circulation (CC) formation after primary percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction. We analyzed 857 patients who underwent primary PCI. The serum NT-proBNP levels were measured on the day of admission, and the CC was scored according to Rentrop’s classification. Log-transformed NT-proBNP levels were significantly higher in patients with good CC compared to those with poor CC (6.13 ± 2.01 pg/mL versus 5.48 ± 1.97 pg/mL, p < 0.001). The optimum cutoff value of log NT-proBNP for predicting CC was 6.04 pg/mL. Log NT-proBNP ≥ 6.04 pg/mL (odds ratio 2.23; 95% confidence interval 1.51–3.30; p < 0.001) was an independent predictor of good CC. CC development was higher in patients with a pre-TIMI flow of 0 or 1 than those with a pre-TIMI flow of 2 or 3 (22.6% versus 8.8%, p = 0.001). The incidence of left ventricular (LV) dysfunction (< 50%) was greater in patients with a pre-TIMI flow of 0 or 1 (49.8% versus 35.5%, p < 0.001). The release of NT-proBNP was greater in patients with LV dysfunction (34.3% versus 15.6%, p < 0.001). The incidence of good CC was greater in patients with log NT-proBNP levels ≥ 6.04 pg/ml (16.8% versus 26.2%, p = 0.003). The association between NT-proBNP and collateral formation was not influenced by pre-TIMI flow and LV function. NT-proBNP appears to reflect the degree of collateral formation in the early phase of STEMI and might have a new role as a useful surrogate biomarker for collateral formation in patients undergoing primary PCI.