bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical multi-analyte point-of-care perspiration sensors using on-chip three-dimensional graphene electrodes
Authors: Bauer Meike , Wunderlich Lukas , Weinzierl Florian , Lei Yongjiu , Duerkop Axel , Alshareef Husam N. , Baeumner Antje J. 
Published: September 2020

AbstractMulti-analyte sensing using exclusively laser-induced graphene (LIG)-based planar electrode systems was developed for sweat analysis. LIG provides 3D structures of graphene, can be manufactured easier than any other carbon electrode also on large scale, and in form of electrodes: hence, it is predestinated for affordable, wearable point-of-care sensors. Here, it is demonstrated that LIG facilitates all three electrochemical sensing strategies (voltammetry, potentiometry, impedance) in a multi-analyte system for sweat analysis. A potentiometric potassium-ion-selective electrode in combination with an electrodeposited Ag/AgCl reference electrode (RE) enabled the detection of potassium ions in the entire physiologically relevant range (1 to 500 mM) with a fast response time, unaffected by the presence of main interfering ions and sweat-collecting materials. A kidney-shaped interdigitated LIG electrode enabled the determination of the overall electrolyte concentration by electrochemical impedance spectroscopy at a fixed frequency. Enzyme-based strategies with amperometric detection share a common RE and were realized with Prussian blue as electron mediator and biocompatible chitosan for enzyme immobilization and protection of the electrode. Using glucose and lactate oxidases, lower limits of detection of 13.7 ± 0.5 μM for glucose and 28 ± 3 μM for lactate were obtained, respectively. The sensor showed a good performance at different pH, with sweat-collecting tissues, on a model skin system and furthermore in synthetic sweat as well as in artificial tear fluid. Response time for each analytical cycle totals 75 s, and hence allows a quasi-continuous and simultaneous monitoring of all analytes. This multi-analyte all-LIG system is therefore a practical, versatile, and most simple strategy for point-of-care applications and has the potential to outcompete standard screen-printed electrodes.
Fibrotic progression and radiologic correlation in matched lung samples from COVID-19 post-mortems
Authors: Barisione Emanuela , Grillo Federica , Ball Lorenzo , Bianchi Rita , Grosso Marco , Morbini Patrizia , Pelosi Paolo , Patroniti Nicolò Antonino , De Lucia Arduino , Orengo Giovanni , Gratarola Angelo , Verda Marta , Cittadini Giuseppe , Mastracci Luca , Fiocca Roberto 
Published: September 2020

AbstractData on the pathology of COVID-19 are scarce; available studies show diffuse alveolar damage; however, there is scarce information on the chronologic evolution of COVID-19 lung lesions. The primary aim of the study is to describe the chronology of lung pathologic changes in COVID-19 by using a post-mortem transbronchial lung cryobiopsy approach. Our secondary aim is to correlate the histologic findings with computed tomography patterns. SARS-CoV-2-positive patients, who died while intubated and mechanically ventilated, were enrolled. The procedure was performed 30 min after death, and all lung lobes sampled. Histopathologic analysis was performed on thirty-nine adequate samples from eight patients: two patients (illness duration < 14 days) showed early/exudative phase diffuse alveolar damage, while the remaining 6 patients (median illness duration—32 days) showed progressive histologic patterns (3 with mid/proliferative phase; 3 with late/fibrotic phase diffuse alveolar damage, one of which with honeycombing). Immunohistochemistry for SARS-CoV-2 nucleocapsid protein was positive predominantly in early-phase lesions. Histologic patterns and tomography categories were correlated: early/exudative phase was associated with ground-glass opacity, mid/proliferative lesions with crazy paving, while late/fibrous phase correlated with the consolidation pattern, more frequently seen in the lower/middle lobes. This study uses an innovative cryobiopsy approach for the post-mortem sampling of lung tissues from COVID-19 patients demonstrating the progression of fibrosis in time and correlation with computed tomography features. These findings may prove to be useful in the correct staging of disease, and this could have implications for treatment and patient follow-up.
Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains
Authors: Corain L. , Grisan E. , Graïc J.-M. , Carvajal-Schiaffino R. , Cozzi B. , Peruffo A. 
Published: September 2020

AbstractThe dimorphism among male, female and freemartin intersex bovines, focusing on the vermal lobules VIII and IX, was analyzed using a novel data analytics approach to quantify morphometric differences in the cytoarchitecture of digitalized sections of the cerebellum. This methodology consists of multivariate and multi-aspect testing for cytoarchitecture-ranking, based on neuronal cell complexity among populations defined by factors, such as sex, age or pathology. In this context, we computed a set of shape descriptors of the neural cell morphology, categorized them into three domains named size, regularity and density, respectively. The output and results of our methodology are multivariate in nature, allowing an in-depth analysis of the cytoarchitectonic organization and morphology of cells. Interestingly, the Purkinje neurons and the underlying granule cells revealed the same morphological pattern: female possessed larger, denser and more irregular neurons than males. In the Freemartin, Purkinje neurons showed an intermediate setting between males and females, while the granule cells were the largest, most regular and dense. This methodology could be a powerful instrument to carry out morphometric analysis providing robust bases for objective tissue screening, especially in the field of neurodegenerative pathologies.
Bispecific antibodies targeting dual tumor-associated antigens in cancer therapy
Authors: Huang Shuyu , van Duijnhoven Sander M. J. , Sijts Alice J. A. M. , van Elsas Andrea 
Published: September 2020

AbstractPurposeBispecific antibodies (BsAbs) have emerged as a leading drug class for cancer therapy and are becoming increasingly of interest for therapeutic applications. As of April 2020, over 123 BsAbs are under clinical evaluation for use in oncology (including the two marketed BsAbs Blinatumomab and Catumaxomab). The majority (82 of 123) of BsAbs under clinical evaluation can be categorized as bispecific immune cell engager whereas a second less well-discussed subclass of BsAbs targets two tumor-associated antigens (TAAs). In this review, we summarize the clinical development of dual TAAs targeting BsAbs and provide an overview of critical considerations when designing dual TAA targeting BsAbs.MethodsHerein the relevant literature and clinical trials published in English until April 1st 2020 were searched using PubMed and ClinicalTrials.gov database. BsAbs were considered to be active in clinic if their clinical trials were not terminated, withdrawn or completed before 2018 without reporting results. Data missed by searching ClinicalTrials.gov was manually curated.ResultsDual TAAs targeting BsAbs offer several advantages including increased tumor selectivity, potential to concurrently modulate two functional pathways in the tumor cell and may yield improved payload delivery.ConclusionsDual TAAs targeting BsAbs represent a valuable class of biologics and early stage clinical studies have demonstrated promising anti-tumor efficacy in both hematologic malignancies and solid tumors.
How I do it: retrosigmoid intradural inframeatal petrosectomy
Authors: Meling Torstein R. , Zegarek Greg , Schaller Karl 
Published: September 2020

Abstract
Background
Lesions infiltrating the petrous temporal bone are some of the most complex to treat surgically. Many approaches have been developed in order to address these lesions, including endoscopic endonasal, anterior petrosectomy, posterior petrosectomy, and retrosigmoid.

Method
We describe in a stepwise fashion the surgical steps of the retrosigmoid intradural inframeatal petrosectomy.

Conclusion
The retrosigmoid intradural inframeatal petrosectomy may afford satisfactory exposure with limited drilling and minimal disruption of perilesional anatomical structures. It can provide excellent surgical results, especially for soft tumors, while minimizing surgical morbidity.
Methodical support for investigation of system behaviour by means of analysis techniques—overcoming non-transparency in embodiment design
Authors: Hölz Kevin , Grauberger Patric , Matthiesen Sven 
Published: September 2020

AbstractOne challenge in adaptive design of technical systems is insufficient understanding of the mechanical system behavior. The actual system behaviour often differs from the system behaviour expected by the designer. This is due, for example, to influences from manufacturing, wear, or errors in the designer’s understanding. For the analysis of the differences between expected and actual system behavior, the system behaviour can be observed. Special analysis techniques are often necessary for system observation. However, the missing methodical support in the system-specific use of analysis techniques is a challenge. In this contribution, a methodical support for the selection and adaptation of analysis techniques for system observation is developed. For this, known errors that occur during system observation are operationalised and provided as requirements for evaluation of analysis techniques. The support is provided as a Selection Matrix, in which the evaluated analysis techniques can be selected and adapted. This is evaluated considering an accompanying application to the non-transparent system wood screw connection. By using the analysis techniques selected with the method, it was possible to identify the actual system behaviour and gain new insights. Here, the Selection Matrix provided support through a structured evaluation of analysis techniques. The Selection Matrix also supported the adaptation of analysis techniques for improved observation of the system behaviour. No general statements on the quality of the support by the Selection Matrix are yet possible. Also, the operationalisation of the errors should be improved to reduce subjective influences. Therefore, these topics should be investigated in further studies.
Perceived personal deadlines for late-life preparation across adulthood
Authors: Lang Frieder R. , Rupprecht Fiona S. 
Published: September 2020

AbstractThroughout adulthood, individuals follow personal timetables of deadlines that shape the course of aging. We examine 6-year-longitudinal data of perceived personal deadlines for starting with late-life preparation across adulthood. Findings are based on a sample of 518 adults between 18 and 88 years of age. Multilevel regression analyses were conducted to explore changes in personal deadlines for preparation in five domains (i.e., finances, end of life, housing, social connectedness, caregiving) in relation to calendar age, self-rated health, subjective position in life, and sociodemographic variables. Findings suggest that personal deadlines for starting preparatory activities differ depending on calendar age and domain of late-life preparation. Older adults as compared to younger adults are likely to report narrower deadlines for beginning with late-life preparation. Perceived deadlines for late-life preparation were furthermore found to be preponed and slightly dilated over time. Findings suggest that depending on age-graded opportunity structures, individuals flexibly adjust their personal deadlines for late-life preparation.
Pressure-Dependent Models in Ship Piping Systems
Authors: Pérez Daniel Molina , Ramos-Arzola Lemuel C. , Torres Amadelis Quesada 
Published: September 2020

AbstractThis paper aims to evaluate the feasibility of pressure-dependent models in the design of ship piping systems. For this purpose, a complex ship piping system is designed to operate in firefighting and bilge services through jet pumps. The system is solved as pressure-dependent model by the piping system analysis software EPANET and by a mathematical approach involving a piping network model. This results in a functional system that guarantees the recommendable ranges of hydraulic state variables (flow and pressure) and compliance with the rules of ship classification societies. Through this research, the suitability and viability of pressure-dependent models in the simulation of a ship piping system are proven.
How specific can language as resource become for the teaching of algebraic concepts?
Authors: Planas Núria 
Published: September 2020

AbstractClassroom research into mathematics and language has studied issues of context specificity such as cultures of explanation or the impact of language policies on practice. More recently, researchers in the domain have started to study issues of content specificity aimed at performing language-responsive mathematics teaching for the learning of precise mathematical content. Progress in the conceptualization of language as resource for mathematics teaching and learning makes it necessary to strengthen the discussion of the contexts of culture and interaction along with the linguistic demands given by the specificity of the mathematical content at play. In this paper, I introduce a sociocultural framing for a mathematical-linguistic view of grammar as resource with the focus on explicitness in communication. I then report developmental work with two teachers on their teaching of algebraic concepts, and address the question of how to learn to communicate explicit meanings for these concepts in classroom mathematical talk. The structuring principle adopted for this work was to critically distinguish and choose or produce instances of teacher talk that overtly communicated conceptual meaning within the algebra of equations. I conclude with preliminary evidence of the effectiveness of the work with the teachers.
An efficient multigrid-DEIM semi-reduced-order model for simulation of single-phase compressible flow in porous media
Authors: Li Jing-Fa , Yu Bo , Wang Dao-Bing , Sun Shu-Yu , Sun Dong-Liang 
Published: September 2020

Abstract
In this paper, an efficient multigrid-DEIM semi-reduced-order model is developed to accelerate the simulation of unsteady single-phase compressible flow in porous media. The cornerstone of the proposed model is that the full approximate storage multigrid method is used to accelerate the solution of flow equation in original full-order space, and the discrete empirical interpolation method (DEIM) is applied to speed up the solution of Peng–Robinson equation of state in reduced-order subspace. The multigrid-DEIM semi-reduced-order model combines the computation both in full-order space and in reduced-order subspace, which not only preserves good prediction accuracy of full-order model, but also gains dramatic computational acceleration by multigrid and DEIM. Numerical performances including accuracy and acceleration of the proposed model are carefully evaluated by comparing with that of the standard semi-implicit method. In addition, the selection of interpolation points for constructing the low-dimensional subspace for solving the Peng–Robinson equation of state is demonstrated and carried out in detail. Comparison results indicate that the multigrid-DEIM semi-reduced-order model can speed up the simulation substantially at the same time preserve good computational accuracy with negligible errors. The general acceleration is up to 50–60 times faster than that of standard semi-implicit method in two-dimensional simulations, but the average relative errors of numerical results between these two methods only have the order of magnitude 10−4–10−6%.
Effect of the structure of backward orifices on the jet performance of self-propelled nozzles
Authors: Fu Bi-Wei , Zhang Si , Liu Shao-Hu 
Published: September 2020

AbstractSelf-propelled nozzle is a critical component of the radial jet drilling technology. Its backward orifice structure has a crucial influence on the propulsive force and the drilling performance. To improve the working performance of the nozzle, the numerical simulation model is built and verified by the experimental results of propulsive force. Then the theoretical model of the energy efficiency and energy coefficient of the nozzle is built to reveal the influence of the structural parameters on the jet performance of the nozzle. The results show that the energy efficiency and energy coefficient of the backward orifice increase first and then decrease with the angle increases. The energy coefficient of forward orifice is almost constant with the angle increases. With the increase in the number and diameter, energy efficiency and energy coefficient of the forward orifice gradually decrease, but the backward orifice energy coefficient first increases and then decreases. Finally, it is obtained that the nozzle has better jet performance when the angle of backward orifice is 30°, the number of backward orifice is 6, and the value range of diameter is 2–2.2 mm. This study provides a reference for the design of efficiently self-propelled nozzle for radial jet drilling technology.
Evaluation of the content of a web tool aimed to identify early markers related to fall risk among middle-aged people
Authors: Folke Mia , Åkerberg Anna , Arkkukangas Marina , Kärnsund Annika , Johnsson Mikael 
Published: September 2020

AbstractToday, the health care sector has no test for early age-related deterioration in physical ability. The aim of this study was to evaluate questionnaires, videos and physical tests whose task will be to identify early markers related to an increased fall risk in middle-aged people. If the person is aware of deficits in physical ability related to fall risk, the person can then use that knowledge to perform relevant training that can strengthen the physical ability related to fall risk. Self-efficacy for balance and strength, physical ability related to fall risk and body composition were measured for 36 middle-aged test participants. This study shows that the tested physical exercises were useful for self-assessment of physical ability. Impairment in physical ability could not be identified solely with measurement of body composition, walking speed, questions, videos that show adjustments that are common in people with impaired balance, or an extended version of the Short version of Activities-specific Balance Confidence scale. This study indicates that a combination of questionnaires, videos and physical exercises can evaluate physical ability and act as a method to identify early markers related to increased fall risk. The questionnaire, videos and physical exercises can be implemented in a web tool that could make persons aware that they have decreased physical ability regarding fall risk or that they needlessly make physical compensations when performing daily activities and thus are missing opportunities to strengthen their physical ability every day.
Saving bandwidth and energy of mobile and IoT devices with link predictions
Authors: Orsini Gabriel , Posdorfer Wolf , Lamersdorf Winfried 
Published: September 2020

AbstractUse cases in the Internet of Things (IoT) and in mobile clouds often require the interaction of one or more mobile devices with their infrastructure to provide users with services. Ideally, this interaction is based on a reliable connection between the communicating devices, which is often not the case. Since most use cases do not adequately address this issue, service quality is often compromised. Aimed to address this issue, this paper proposes a novel approach to forecast the connectivity and bandwidth of mobile devices by applying machine learning to the context data recorded by the various sensors of the mobile device. This concept, designed as a microservice, has been implemented in the mobile middlewareCloudAware, a system software infrastructure for mobile cloud computing that integrates easily with mobile operating systems, such as Android. We evaluated our approach with real sensor data and showed how to enable mobile devices in the IoT to make assumptions about their future connectivity, allowing for intelligent and distributed decision making on the mobile edge of the network.
Asymmetric Expansion of Summer Season on May and September in Korea
Authors: Ho Chang-Hoi , Park Chang-Kyun , Yun Jeongmin , Lee Eun-Ju , Kim Jinwon , Yoo Hee-Dong 
Published: September 2020

AbstractGlobal warming and its associated changes in the timing of seasonal progression may produce substantial ripple effects on the regional climate and ecosystem. This study analyzes the surface air temperature recorded during the period 1919–2017 at seven stations in the Republic of Korea to investigate the long-term changes at the beginning and ending of the summer season and their relationship with the warming trends of spring and autumn. The temperatures at the starting (June 1) and ending (August 31) dates of the past period (1919–1948) advanced by 13 days and delayed by 4 days, respectively, for the recent period (1988–2017). This asymmetric change was caused by continuous warming in May for the entire period of analysis and an abrupt warming in September in the recent decades. Different amplitudes of the expansion of the western North Pacific subtropical high in May and September are responsible for the asymmetric expansion of the summer season. The projections of surface warming for spring and autumn in Korea used the downscaled grid data of a regional climate model, which were obtained by the Representative Concentration Pathway 8.5 scenario of a general circulation model, and indicated a continuous positive trend until 2100. Larger interannual variability of blooming timing of early autumn flowers than that of late spring flowers may represent the response of the ecosystem to the seasonally asymmetric surface warming. Results suggest that the shift of seasons and associated warming trend have a disturbing effect on an ecosystem, and this trend will intensify in the future.
One stop shop IV: taxonomic update with molecular phylogeny for important phytopathogenic genera: 76–100 (2020)
Authors: Jayawardena Ruvishika S. , Hyde Kevin D. , Chen Yi Jyun , Papp Viktor , Palla Balázs , Papp Dávid , Bhunjun Chitrabhanu S. , Hurdeal Vedprakash G. , Senwanna Chanokned , Manawasinghe Ishara S. , Harischandra Dulanjalee L. , Gautam Ajay Kumar , Avasthi Shubhi , Chuankid Boontiya , Goonasekara Ishani D. , Hongsanan Sinang , Zeng XiangYu , Liyanage Kapila K. , Liu NingGuo , Karunarathna Anuruddha , Hapuarachchi Kalani K. , Luangharn Thatsanee , Raspé Olivier , Brahmanage Rashika , Doilom Mingkwan , Lee Hyang B. , Mei Liu , Jeewon Rajesh , Huanraluek Naruemon , Chaiwan Napalai , Stadler Marc , Wang Yong 
Published: September 2020

AbstractThis is a continuation of a series focused on providing a stable platform for the taxonomy of phytopathogenic fungi and fungus-like organisms. This paper focuses on one family:Erysiphaceaeand 24 phytopathogenic genera:Armillaria, Barriopsis,Cercospora,Cladosporium,Clinoconidium,Colletotrichum,Cylindrocladiella,Dothidotthia,,Fomitopsis,Ganoderma,Golovinomyces,Heterobasidium,Meliola,Mucor,Neoerysiphe,Nothophoma,Phellinus,Phytophthora,Pseudoseptoria,Pythium,Rhizopus,Stemphylium,ThyrostromaandWojnowiciella.Each genus is provided with a taxonomic background, distribution, hosts, disease symptoms, and updated backbone trees. Species confirmed with pathogenicity studies are denoted when data are available. Six of the genera are updated from previous entries as many new species have been described.