bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneously improve the mode II interlaminar fracture toughness, flexural properties, and impact strength of CFRP composites with short aramid fiber interlaminar toughening
Authors: Wang Yongan , Liu Xi , Chen Lifeng , Shen Wei , Zhu Lvtao 
Published: September 2022

AbstractThis work mainly focuses on the mode II interlaminar fracture behavior of carbon fiber composite that was interlaminar toughened by short aramid fiber modified epoxy resin. The short fibers were first dispersed in the epoxy matrix and then in the laminate interlayer area during the lamination process. The ENF test evaluated the Mode II interlaminar fracture toughness of laminates. The results show that mode II interlaminar fracture toughness increases with the addition of short fibers. When the fiber content is 10 g/m2, the toughening effect is the best at 2437.72 J/m2, which is about 61.8% higher than the untoughened sample. The toughening mechanism of CFRP laminates by adding short fibers was observed by mode II fracture surface SEM images. In addition, flexural properties and Charpy impact properties of short fiber modified resin interlayer toughened laminates were also studied. The results showed that with this method, flexural properties and impact strength were improved to a certain extent, proving that this method is an effective interlaminar toughening method.
Blockchain technology andAI‐facilitated polymers recycling: Utilization, realities, and sustainability
Authors: Verma Deepak , Okhawilai Manunya , Dalapati Goutam Kumar , Ramakrishna Seeram , Sharma Abhishek , Sonar Prashant , Krishnamurthy Satheesh , Biring Sajal , Sharma Mohit 
Published: September 2022

AbstractFrom the environmental perspective, efficient plastic utilization and its recyclability become significant issues that need to be resolved for deploying urban and sustainable technologies. It is estimated that approximately 400 million tons of plastic are produced each year for different applications. This number will be doubled by 2050, which is a serious problem. The primary issue that arises in a recycling process is associated with optimum supply chain management. The comprehensive and transparent supply chain methodologies will help stockholders to make conclusive policies and precise strategies. Transparency in supply chain management assists in captivating planning, pricing, purchasing, and inventory management decisions. Environmental sustainability requires recycling, which should have innovative concepts like Artificial Intelligence (AI) and Block‐chain Technology. Manual methods of sorting and segregating the waste have outdated and not much efficient. The inclusion of AI and Blockchain Technology brought a revolution by increasing the efficiency and accuracy of the recycling process. This critical review focused on recycling plastics and plastic waste using AI and Blockchain Technology. Various plastic regulation policies and AI utilization for plastic recycling are discussed. An overview of the blockchain and its classification for waste management or plastic recycling has been discussed. The utilization of Blockchain Technology for a plastic circular economy, its types, and critical benefits has also been systematically demonstrated.
Effect of the COVID‐19 pandemic on individuals with spinal cord injury: Mental health and use of telehealth
Authors: Mesa Adam , Grasdal Mark , Leong Sarah , Dean Nikolaus A. , Marwaha Arshdeep , Lee Amanda , Berger Michael J. , Bundon Andrea , Krassioukov Andrei V. 
Published: September 2022

AbstractIntroductionLimited access to health care services and the self‐isolation measures due to the coronavirus disease 2019 (COVID‐19) pandemic may have had additional unintended negative effects, affecting the health of individuals with spinal cord injury (SCI).ObjectivesTo examine the perceived influence of the COVID‐19 pandemic on individuals with SCI. First, this study looked to understand how the pandemic affected the use and perception of telehealth services for these individuals. Second, it investigated the effect of COVID‐19 on mental health.DesignCross‐sectional online survey.SettingIndividuals with SCI living in the community in British Columbia, Canada.PatientsThis survey was offered to individuals with SCI and had 71 respondents, with 34% living in a rural setting and 66% in an urban setting.InterventionsNot applicable.Main Outcome MeasuresTelehealth utility, Patient Health Questionnaire‐9 (PHQ‐9), Generalized Anxiety Disorder 7 (GAD‐7), Fear of COVID‐19 scale (FCV‐19S), and Perceived Vulnerability to Disease (PVD).ResultsTelehealth use in the SCI population has increased from 9.9% to 25.4% over the pandemic, with rates of telehealth use in urban centers nearing those of rural participants. Thirty‐one percent of respondents had probable depression and 7.0% had probable generalized anxiety disorder as measured by a score of ≥10 on the PHQ‐9 and GAD‐7, respectively. The mean scores on FCV‐19S and PVD were 17.0 (6.6 SD) and 4.29 (1.02 SD), respectively.ConclusionTelehealth use during COVID‐19 has more than doubled. It is generally well regarded by respondents, although only a fourth of the SCI population has reported its use. With this in mind, it is important to understand the barriers to further adoption. In addition, higher rates of probable depression were seen than those estimated by pre‐pandemic studies in other countries.
IgG4 related pleural disease: Recurrent pleural effusion after COVID‐19 vaccination
Authors: Tasnim Saria , Al‐Jobory Ola , Hallak Ahmad , Bharadwaj Taru , Patel Manish 
Published: September 2022

AbstractIgG4‐related disease is characterized by a systemic fibroinflammatory process associated with substantial infiltration by plasma cells with IgG4 in the organs. Our patient presented with pleural effusion, and was diagnosed with IgG4‐related lung disease (IgG4‐RLD) after he received two doses of the Pfizer COVID‐19 vaccine. The patient developed dyspnea and hypoxia 2 weeks after receiving the second dose of the Pfizer COVID‐19 vaccine. CT scan revealed left pleural effusion which was drained. However, the effusion recurred requiring thoracoscopic drainage, placement of an indwelling catheter, and decortication with biopsy. IgG4 serum level was 268 mg/dl and pathology revealed pleural fibrosis, lymphoplasmacytic infiltrates, and increased IgG4‐positive plasma cells with no malignant cells leading to a diagnosis of IgG4‐RLD. Although COVID vaccine‐related IgG4‐RLD is a novel finding, having a high degree of suspicion following vaccination is always important for early diagnosis and effective treatment.
A new judgment theorem for predefined‐time stability and its application in the synchronization analysis of neural networks
Authors: Chen Chuan , Mi Ling , Zhao Dawei , Guan Hongjiao , Li Lixiang , Zhao Hui 
Published: September 2022

AbstractCompared with finite‐time/fixed‐time stability, predefined‐time (PDT) stability has some obvious advantages, so it is expected to be the next hot topic. The study of PDT stability depends heavily on the judgment theorems for PDT stability. However, all the existing judgment theorems for PDT stability have several drawbacks, such as complicated judging conditions and strict parameter selection. In this article, a new judgment theorem for PDT stability is proposed to fill the gap, and it is based on a very concise judging condition. To verify the usability of the new judgment theorem, we devise a matching PDT controller, and analyze the PDT synchronization of neural networks by means of the novel judgment theorem. We derive several PDT synchronization criteria, which guarantee the considered neural networks can reach PDT synchronization within an arbitrary preassigned time. The preassigned time can be set as a specific parameter in the devised controller, and the other controller parameters can also be selected easily. Lastly, we provide some confirmatory numerical simulations.
A camera trap‐based assessment of climate‐driven phenotypic plasticity of seasonal moulting in an endangered carnivore
Authors: Laporte‐Devylder Lucie , Ulvund Kristine R. , Rød‐Eriksen Lars , Olsson Ola , Flagstad Øystein , Landa Arild , Eide Nina E. , Jackson Craig R. 
Published: September 2022

AbstractFor many species, the ability to rapidly adapt to changes in seasonality is essential for long‐term survival. In the Arctic, seasonal moulting is a key life‐history event that provides year‐round camouflage and thermal protection. However, increased climatic variability of seasonal events can lead to phenological mismatch. In this study, we investigated whether winter‐white (white morph) and winter‐brown (blue morph) Arctic foxes (Vulpes lagopus) could adjust their winter‐to‐summer moult to match local environmental conditions. We used camera trap images spanning an eight‐year period to quantify the timing and rate of fur change in a polymorphic subpopulation in south‐central Norway. Seasonal snow cover duration and temperature governed the phenology of the spring moult. We observed a later onset and longer moulting duration with decreasing temperature and longer snow season. Additionally, white foxes moulted earlier than blue in years with shorter periods of snow cover and warmer temperatures. These results suggest that phenotypic plasticity allows Arctic foxes to modulate the timing and rate of their spring moult as snow conditions and temperatures fluctuate. With the Arctic warming at an unprecedented rate, understanding the capacity of polar species to physiologically adapt to a changing environment is urgently needed in order to develop adaptive conservation efforts. Moreover, we provide the first evidence for variations in the moulting phenology of blue and white Arctic foxes. Our study underlines the different intraspecific selective pressures that can exist in populations where several morphs co‐occur, and illustrates the importance of integrating morph‐based differences in future management strategies of such polymorphic species.
Understanding Micro and Atomic Structures of Secondary Phases in Cu‐Doped SnTe
Authors: Kawami Youichirou , Tran Xuan Quy , Aso Kohei , Yamamoto Tomokazu , Wang Yuan , Li Meng , Yago Anya , Matsumura Syo , Nogita Kazuhiro , Zou Jin 
Published: September 2022

AbstractHighly efficient thermoelectric materials require, including point defects within the host matrix, secondary phases generating positive effects on lowering lattice thermal conductivity (κL). Amongst effective dopants for a functional thermoelectric material, SnTe, Cu doping realizes the ultra‐low κL approaching the SnTe amorphous limit. Such effective κL reduction is first attributed to strong phonon scattering by substitutional Cu atoms at Sn sites and interstitial defects in the host SnTe. However, other crystallographic defects in secondary phases have been unfocused. Here, this work reports micro‐ to atomic‐scale characterization on secondary phases of Cu‐doped SnTe using advanced microscopes. It is found that Cu‐rich secondary phases begin precipitation ≈1.7 at% Cu (x = 0.034 where Sn1−xCuxTe). The Cu‐rich secondary phases encapsulate two distinct solids: Cu2SnTe3 () has semi‐coherent interfaces with SnTe () such that they minimize lattice mismatch to favor the thermoelectric transport; the other resembles a stoichiometric Cu2Te model, yet is so meta‐stable that it demonstrates not only various defects such as dislocation cores and ordered/disordered Cu vacancies, but also dynamic grain‐boundary migration with heating and a subsequent phase transition ≈350 °C. The atomic‐scale analysis on the Cu‐rich secondary phases offers viable strategies for reducing κL through Cu addition to SnTe.
Exploring Multicultural Picturebooks With Social–Emotional Themes
Authors: Gunn AnnMarie Alberton , Bennett Susan V. , Peterson Barbara J. 
Published: September 2022

AbstractIntegration of social‐emotional learning (SEL) content and vocabulary within read‐alouds of multicultural literature provides powerful learning contexts for enhancing young children's social problem‐solving, language development, and comprehension. Multicultural literature allows children to gain greater understanding of themselves and others through exploration of lives, realities and experiences of characters within texts. In this article, we offer a culturally sustaining pedagogical and social‐emotional learning framework, and criteria to guide educators' selection of multicultural picturebooks with social‐emotional learning themes for read‐alouds. We describe key features of recommended picturebooks and teaching suggestions for promoting vocabulary and social‐emotional learning through read‐alouds with young children.
An assessment of observed wind speed and wind power density over China for 1980–2021
Authors: Li Muyuan , Shen Yanbo , Yao Jinfeng , Ye Dong , Fan Jing , Simmonds Ian 
Published: September 2022

AbstractThe spatiotemporal characteristics of the near‐surface wind speed (NWS), wind speed at 100 m hub height (HWS), and wind power density (WPD) over China are assessed during 1980–2021. A homogenization process is applied to NWS at 292 basic meteorological stations. A total of 336 breakpoints are recognized, with 122 associated with instrument replacement, 113 attributed to station relocation, and 101 due to unrecorded reasons. The homogenization method does not alter the spatial patterns or seasonal variations of NWS, but it does boost the mean NWS over China annually and seasonally, while also strengthening the long‐term decreasing trends. As for the temporal standard deviation (STD) for NWS, high values are primarily found over Inner Mongolia and Northeast China, with the seasonal maximum occurring in spring. After homogenization, the STD of NWS over China is reduced annually and seasonally, and the long‐term decreasing trends are somewhat weaker. The results for HWS are comparable to those for NWS. Notably, the lower mean state and weaker fluctuation of wind speed in recent years have two opposing implications for wind power production. Similar to the NWS mean state, the annual mean WPD over China is largely increased after homogenization with a faster decreasing trend.
Identification and prioritization of indicators of hospital bed allocation in Iran
Authors: Najibi Seyedeh M. , Lotfi Farhad , Kharazmi Erfan , Farhadi Payam , Shojaei Payam , Bastani Peivand , Kavosi Zahra 
Published: September 2022

AbstractThe distribution of hospital beds can be used as an indicator to assess the distribution of health services. This study aimed to determine and prioritize indicators of hospital bed allocation in Iran. In the first phase of the study, we used a scoping review to identify criteria affecting hospital bed allocation. Then, we applied an expert panel and the Delphi method to localize the criteria. Finally, we carried out Analytic Network Process method based on Decision Making Trial and Evaluation Laboratory technique (DANP), to determine the weight and importance of indicators and to evaluate the causal relationship between them. Based on the scoping review, we identified 75 criteria that influence bed allocation. In 2 Delphi cycles, 28 criteria were selected and included in the DANP phase. The population, the presence of a reference hospital in the region, the type of hospital, the common diseases in the region, and the presence of home care services were the variables that had the most interaction with other variables. The variable of home care services was at the highest level of the causal chain. Bed occupancy rate, average length of stay, waiting list, as well as type and level of the hospital had the highest priority in the allocation of hospital beds. Furthermore, given the importance of home care services, policies should be adopted to expand these services nationwide. The indicators identified in this study will be useful for the development of policies aimed at an equitable allocation of hospital beds.
Phase formation studies and crystal structure refinements in the MnII/TeIV/O/(H) system
Authors: Eder Felix , Weil Matthias 
Published: September 2022

AbstractSystematic phase formation studies in the system MnII/TeIV/O/‐(H) using either solid‐state reactions between stoichiometric MnO:TeO2 mixtures or hydrothermal reactions under basic conditions led to crystal growth of two polymorphs (α‐, γ‐) of MnTeO3, Mn6Te5O16, Mn15(TeO3)14(OH)2 and Mn3(TeO3)2(OH)2. Although α‐MnTeO3 and Mn6Te5O16 have been reported previously, crystal structure refinements were missing so far. Whereas α‐MnTeO3 crystallizes in a unique structure (space group Pbca, Z=16), Mn6Te5O16 (Pnma, Z=4) is isotypic with its Co‐homologue. The previously unknown phases γ‐MnTeO3 (Pbca, Z=8), Mn15(TeO3)14(OH)2 (
, Z=3) and Mn3(TeO3)2(OH)2 (P63mc, Z=4) all have isotypic relationships, namely with ZnTeO3, Co15(TeO3)14F2 and M3(TeO3)2(OH)2 (M=Ni, Co), respectively. Common to all crystal structures of the five manganese(II) oxidotellurate(IV) phases is the presence of [MnO5] or [MnO6] polyhedra and isolated trigonal‐pyramidal [TeO3] groups (except for one of the TeIV atoms in Mn6Te5O16 [TeO4] bisphenoids) as principal building units, which share corners and edges with the [MnO5/6] groups. The resulting three‐dimensional frameworks are dominated by the influence of the stereochemically active 5 s2 electron lone pair situated at the TeIV atom, leading to the formation of channels or interstices. Quantitative comparisons between the corresponding isotypic crystal structures are given.
Improving Tool Support for Nested Parallel Regions with Introspection Consistency
Authors: Indic Vladimir , Mellor-Crummey John 
Published: September 2022

AbstractThe OpenMP 5 standard defines OMPT—an application programming interface for tools that includes a set of introspection routines. At any point in time, a sampling-based performance tool may invoke these introspection routines from a signal handler to inquire about the nesting of parallel and task regions. Unfortunately, the OpenMP 5 standard doesn’t precisely specify what one may observe with these routines when monitoring a program as it executes nested parallel regions. To address this shortcoming, we propose that the OpenMP standard require that an OpenMP implementation supportsintrospection consistency. This paper defines introspection consistency, describes why tools need it, and explains a novel strategy for implementing it using wait-free coordination between an OpenMP implementation and its OMPT introspection routines. We describe an implementation of this technique in the LLVM OpenMP runtime and evaluate the runtime overhead of supporting introspection consistency in LLVM OpenMP using a microbenchmark for nested parallel regions and SPEC OMP2012.
Quasi-Equivalent Concept Trade-Off in Ontology Design: Initial Considerations and Analyses
Authors: Svátek Vojtěch , Nesterova Anna , Nguyen Viet Bach 
Published: September 2022

AbstractThe problem of concept equivalence is often addressed within ontology alignment. A similar problem is however encountered in ontology design: the decision whether to express multiple semantically close informal concepts as one or more formal classes, for which we coin the term concept quasi-equivalence trade-off. We outline its formal framework as well as an initial set of decision-making criteria. We also tried to collect traces of the trade-off from two sources: the LOV vocabulary catalog and ontology design experts addressed through a questionnaire. Finally, we discuss possible modalities of a software support.
Should We Afford Affordances? Injecting ConceptNet Knowledge into BERT-Based Models to Improve Commonsense Reasoning Ability
Authors: Gretkowski Andrzej , Wiśniewski Dawid , Ławrynowicz Agnieszka 
Published: September 2022

AbstractRecent years have shown that deep learning models pre-trained on large text corpora using the language model objective can help solve various tasks requiring natural language understanding. However, many commonsense concepts are underrepresented in online resources because they are too obvious for most humans. To solve this problem, we propose the use of affordances – common-sense knowledge that can be injected into models to increase their ability to understand our world. We show that injecting ConceptNet knowledge into BERT-based models leads to an increase in evaluation scores measured on the PIQA dataset.
Inequalities for Plane Partitions
Authors: Heim Bernhard , Neuhauser Markus , Tröger Robert 
Published: September 2022

AbstractInequalities are important features in the context of sequences of numbers and polynomials. The Bessenrodt–Ono inequality for partition numbers and Nekrasov–Okounkov polynomials has only recently been discovered. In this paper we study the log-concavity (Turán inequality) and Bessenrodt–Ono inequality for plane partitions and their polynomization.
$$L^p-L^q$$ Local Smoothing Estimates for the Wave Equation via k-Broad Fourier Restriction
Authors: Beltran David , Saari Olli 
Published: September 2022

AbstractWe explore the connection between k-broad Fourier restriction estimates and sharp regularity $$L^p-L^q$$

L
p

-

L
q

local smoothing estimates for the solutions of the wave equation in $$\mathbb {R}^{n}\times \mathbb {R}$$

R

n

×
R

for all $$n \ge 3$$

n
≥
3

via a Bourgain–Guth broad-narrow analysis. An interesting feature is that local smoothing estimates for $$e^{i t \sqrt{-\Delta }}$$

e

i
t

-
Δ

are not invariant under Lorentz rescaling.
Teamspezifische Auswirkungen der Corona-Pandemie auf Mitarbeiter:innen der Internistischen Intensivmedizin eines Krankenhauses der Maximalversorgung
Authors: Wolff Jochen , Becker Jürgen , Naendrup Jan-Hendrik , Borrega Jorge Garcia , Heger Jan-Michel , Hamacher Laura , Böll Boris , Eichenauer Dennis A. , Shimabukuro-Vornhagen Alexander , Kochanek Matthias 
Published: September 2022

ZusammenfassungDie anhaltende Belastung der Mitarbeiter im Gesundheitsdienst während der COVID-19-Pandemie ist erheblich und stellt die Mitarbeiter vor große emotionale und psychologische Herausforderungen. In einer teaminternen Evaluation (Ärzt:innen und Pflegekräfte) wurden teamspezifische Belastungen, mögliche Entlastungsstrategien, positive und negative Erfahrungen sowie Wünsche für eine Verbesserung der Situation auf einer Intensivstation erhoben. Während beide Berufsgruppen gleich hohe emotionale Belastungsintensitäten wahrnahmen, werden bei der Pflege zusätzlich starke Belastungsintensitäten im organisatorischen und körperlichen Bereich wahrgenommen. Damit erweist sich die Berufsgruppe der Pflegenden als am stärksten durch die COVID-19-Pandemie belastet. Durch die hier herausgearbeiteten Erkenntnisse können für die Zukunft konkrete Handlungsanweisungen abgeleitet werden.