bluuebunny/crossref_metadata_2025_split huggingface dataset:
Turning to the negative: attention allocation to emotional faces in adolescents with dysregulation profile—an event-related potential study
Authors: Martin Franziska , Pinnow Marlies , Getzmann Stephan , Hans Stefan , Holtmann Martin , Legenbauer Tanja 
Published: March 2021

AbstractPatients with irritability, temper outbursts, hyperactivity and mood swings often meet the dysregulation profile (DP) of the Child Behavior Checklist (CBCL) or the Strengths and Difficulties Questionnaire (SDQ), which have been investigated over the past few decades. While the DP has emerged as a transdiagnostic marker with a negative impact on therapeutic outcome and psychosocial functioning, little is known about its underlying mechanisms such as attention and emotion regulation processes. In this study, we tested whether adolescent psychiatric patients (n = 27) with the SDQ-DP show impaired emotional face processing for task-irrelevant stimuli compared to psychiatric patients without the SDQ-DP (n = 30) and non-clinical adolescents (n = 21). Facial processing was tested with event-related potential (ERP) measures known to be modulated by attention (i.e., P1, N1, N170, P2, and Nc) during a modified Attention Network Task, to which task-irrelevant emotional stimuli (sad, fearful, and neutral faces) were added prior to the actual trial. The results reveal group differences in the orienting and in the conflicting network. Patients with DP showed a less efficient orienting network and the clinical control group showed a less efficient conflicting network. Moreover, patients with the dysregulation profile had a shorter N1/N170 latency than did the two control groups, suggesting that dysregulation in adolescents is associated with a faster but less arousing encoding of (task-irrelevant) emotional information and less top-down control.
Rare skeletal disorders: a multidisciplinary postnatal approach to diagnosis and management
Authors: Walleczek Nina-Katharina , Förster Kristina , Seyr Martina , Kadrnoska Nadja , Kolar Jennifer , Wasinger-Brandweiner Verena , Vodopiutz Julia 
Published: March 2021

SummarySkeletal disorders are inherited disorders with significant skeletal involvement and most of them are rare or extremely rare. Based on the clinical, radiological and genetic phenotype, the group of skeletal disorder comprises more than 450 different and highly heterogeneous disorders. In skeletal disorders rapid and precise diagnoses are urgently needed for patient care and are based on the combination of clinical, radiological and genetic analysis. Novel genetic techniques have revolutionized diagnostics and have a huge impact on counseling of patients and families. Disease-specific long-term management in a multidisciplinary healthcare team in highly specialized centers is recommended to optimize care for these patients. Here we describe a multidisciplinary postnatal approach for the diagnosis and management of patients and families with rare skeletal disorders at the Vienna Bone and Growth Center. We discuss the value of a multidisciplinary diagnostic and management approach in the postnatal setting and provide a diagnostic flowchart for rare skeletal disorders.
Sex differences in coronary plaque changes assessed by serial computed tomography angiography
Authors: El Mahdiui Mohammed , Smit Jeff M. , van Rosendael Alexander R. , Neglia Danilo , Knuuti Juhani , Saraste Antti , Buechel Ronny R. , Teresinska Anna , Pizzi Maria N. , Roque Albert , Magnacca Massimo , Mertens Bart J. , Caselli Chiara , Rocchiccioli Silvia , Parodi Oberdan , Pelosi Gualtiero , Scholte Arthur J. 
Published: March 2021

AbstractLong-term data on sex-differences in coronary plaque changes over time is lacking in a low-to-intermediate risk population of stable coronary artery disease (CAD). The aim of this study was to evaluate the role of sex on long-term plaque progression and evolution of plaque composition. Furthermore, the influence of menopause on plaque progression and composition was also evaluated. Patients that underwent a coronary computed tomography angiography (CTA) were prospectively included to undergo a follow-up coronary CTA. Total and compositional plaque volumes were normalized using the vessel volume to calculate a percentage atheroma volume (PAV). To investigate the influence of menopause on plaque progression, patients were divided into two groups, under and over 55 years of age. In total, 211 patients were included in this analysis, 146 (69%) men. The mean interscan period between baseline and follow-up coronary CTA was 6.2 ± 1.4 years. Women were older, had higher HDL levels and presented more often with atypical chest pain. Men had 434 plaque sites and women 156. On a per-lesion analysis, women had less fibro-fatty PAV compared to men (β -1.3 ± 0.4%; p < 0.001), with no other significant differences. When stratifying patients by 55 years age threshold, fibro-fatty PAV remained higher in men in both age groups (p < 0.05) whilst women younger than 55 years demonstrated more regression of fibrous (β -0.8 ± 0.3% per year; p = 0.002) and non-calcified PAV (β -0.7 ± 0.3% per year; p = 0.027). In a low-to-intermediate risk population of stable CAD patients, no significant sex differences in total PAV increase over time were observed. Fibro-fatty PAV was lower in women at any age and women under 55 years demonstrated significantly greater reduction in fibrous and non-calcified PAV over time compared to age-matched men. (ClinicalTrials.gov number, NCT04448691.)
Formulating the history matching problem with consistent error statistics
Authors: Evensen Geir 
Published: March 2021

AbstractIt is common to formulate the history-matching problem using Bayes’ theorem. From Bayes’, the conditional probability density function (pdf) of the uncertain model parameters is proportional to the prior pdf of the model parameters, multiplied by the likelihood of the measurements. The static model parameters are random variables characterizing the reservoir model while the observations include, e.g., historical rates of oil, gas, and water produced from the wells. The reservoir prediction model is assumed perfect, and there are no errors besides those in the static parameters. However, this formulation is flawed. The historical rate data only approximately represent the real production of the reservoir and contain errors. History-matching methods usually take these errors into account in the conditioning but neglect them when forcing the simulation model by the observed rates during the historical integration. Thus, the model prediction depends on some of the same data used in the conditioning. The paper presents a formulation of Bayes’ theorem that considers the data dependency of the simulation model. In the new formulation, one must update both the poorly known model parameters and the rate-data errors. The result is an improved posterior ensemble of prediction models that better cover the observations with more substantial and realistic uncertainty. The implementation accounts correctly for correlated measurement errors and demonstrates the critical role of these correlations in reducing the update’s magnitude. The paper also shows the consistency of the subspace inversion scheme by Evensen (Ocean Dyn.54, 539–560 2004) in the case with correlated measurement errors and demonstrates its accuracy when using a “larger” ensemble of perturbations to represent the measurement error covariance matrix.
Spatial distribution of trace elements (As, Cd, Ni, Pb) from PM10 aerosols and human health impact assessment in an Eastern European country, Romania
Authors: Bodor Katalin , Bodor Zsolt , Szép Róbert 
Published: March 2021

AbstractIn the present study, the concentrations of trace elements in PM10were determined and analyzed at 115 monitoring stations in Romania throughout the period 2009–2018. The spatiotemporal distribution of trace element concentrations of PM10, the source apportionment and health impact assessment, was carried out. The results showed a very high multi-annual mean concentration for PM10and trace elements as well. The multiannual average concentration of PM10was higher by 29.75% than the World Health Organization recommendation. All studied air pollutants showed a decreasing trend during the studied years, showing with 17.84%, 50.21%, 43.36%, 11.27%, and 72.09% lower values for PM10, As-, Cd-, Ni-, and Pb-, respectively, due to environmental regulations. To assess the human health impact, the hazard quotient (HQ) and cancer risk (CR) were calculated using the health risk model developed by the US Environmental Protection Agency (EPA). The Cd and Ni might present a non-carcinogenic risk to both adults and children; however, the hazard quotient values are higher than the safe limit, with 9.53 and 1.93, respectively. In addition, our study results revealed that the inhalation of As, Cd and the dermal absorption of all studied trace elements were considered as the most important risk factors for developing cancer, especially in case of adults.
On Technical Alterity
Authors: Schick Johannes F. M. 
Published: March 2021

AbstractThis commentary introduces the notion of “technical alterity” in order to address the following questions: is it possible that technical objects can become “others” in analogy to Levinas’ ethics and can this relation provide solutions for the subject in the Anthropocene? According to Levinas, the human subject’s only break from having to be itself is in the consumption and enjoyment of things. Objects constitute thus an “other” that can be consumed, i.e., appropriated and be made one’s own. But, in times of the Anthropocene, where the entanglement of human and non-human actors becomes increasingly obvious and intricate, and a question of survival for human beings in the face of the climate crisis, it is necessary to develop a relation with non-human actors that does not reduce them to mere means to an end. This ethical relation with technical objects relies upon an epistemic act, since technical objects precisely do not have a “face” in the Levinasian sense. Technical objects as “technical others” have therefore—in light of Simondon’s philosophy of technology—to be invented.
Developing a novel functional disc emulator to investigate the nucleus pulposus replacement
Authors: Raheem Hassan M. , Rochefort Skip E. , Bay Brian K. 
Published: March 2021

AbstractWe have developed a simple, inexpensive and innovative device for reproducing the global mechanical behavior of spinal motion segments and the local mechanical environment experienced by lumbar intervertebral discs. The device has several broad functions: (1) exploration of the basic mechanics underlying this complex skeletal system, (2) connecting changes in tissue characteristics with overall motion segment function, and (3) evaluation of strategies for repair and replacement of disc components. This “disc emulator” consists of three main parts: (1) an artificial annulus fibrosus (AAF), made out of silicone, with lumbar disc geometry and adjustable material properties, (2) a hydrogel nucleus pulposus (NP) also with lumbar disc geometry and adjustable material properties, and (3) simulated vertebral bodies 3D printed with trabecular bone simulated by a rigid polymer (Acrylonitrile Butadiene Styrene, ABS) and end plates crafted from a compliant polymer (Thermoplastic Polyurethane, TPU). Mechanical compression experiments have been conducted using the disc emulator under similar protocols to published studies of human cadaver samples. Bulging of the artificial annulus fibrosus was examined under axial compression loads using digital image correlation (DIC), and results show close agreement. We see this approach of using anatomical geometry and multiple adjustable components as a useful means of creating accurate local stress/strain environments for preliminary material evaluation, without the variability and difficulty inherent indirect testing of cadaveric materials.
Activation of electrospun carbon fibers: the effect of fiber diameter on CO2 and steam reaction kinetics
Authors: Erben Johannes , Heußner Alenica , Thiele Simon , Kerzenmacher Sven 
Published: March 2021

AbstractFirst, we present a fabrication process for electrospun carbon fiber mats with mean fiber diameters between 108 nm and 623 nm. The carbon fiber mats were produced by electrospinning of polyacrylonitrile (PAN) solutions and subsequent carbonization. The fiber mats feature small variations of their properties that are required for parameter studies. Second, we investigate the kinetics of steam and CO2 activation with three different activation temperatures and times. Both activation methods result in a surface area increase depending on activation temperature and time. Detailed analysis of the macroscopic properties burn-off, surface area, and conductivity reveals insights into the microscopic activation kinetics. The different fiber diameters of the carbon fiber mats enable the distinction of surface driven and bulk processes. Our results indicate, that CO2 activation kinetics are mass transport controlled, and that steam activation kinetics are reaction rate controlled. The turbostratic nature of PAN derived carbon and the distinct characteristics of the activation agents could explain the nonlinear behavior of the burn-off and surface area development.
Explicit parallel co-simulation approach: analysis and improved coupling method based on H-infinity synthesis
Authors: Chen Weitao , Ran Shenhai , Wu Canhui , Jacobson Bengt 
Published: March 2021

AbstractCo-simulation is widely used in the industry for the simulation of multidomain systems. Because the coupling variables cannot be communicated continuously, the co-simulation results can be unstable and inaccurate, especially when an explicit parallel approach is applied. To address this issue, new coupling methods to improve the stability and accuracy have been developed in recent years. However, the assessment of their performance is sometimes not straightforward or is even impossible owing to the case-dependent effect. The selection of the coupling method and its tuning cannot be performed before running the co-simulation, especially with a time-varying system.In this work, the co-simulation system is analyzed in the frequency domain as a sampled-data interconnection. Then a new coupling method based on the H-infinity synthesis is developed. The method intends to reconstruct the coupling variable by adding a compensator and smoother at the interface and to minimize the error from the sample-hold process. A convergence analysis in the frequency domain shows that the coupling error can be reduced in a wide frequency range, which implies good robustness. The new method is verified using two co-simulation cases. The first case is a dual mass–spring–damper system with random parameters and the second case is a co-simulation of a multibody dynamic (MBD) vehicle model and an electric power-assisted steering (EPAS) system model. Experimental results show that the method can improve the stability and accuracy, which enables a larger communication step to speed up the explicit parallel co-simulation.
Sectionally Pseudocomplemented Posets
Authors: Chajda Ivan , Länger Helmut , Paseka Jan 
Published: March 2021

AbstractThe concept of a sectionally pseudocomplemented lattice was introduced in Birkhoff (1979) as an extension of relative pseudocomplementation for not necessarily distributive lattices. The typical example of such a lattice is the non-modular lattice N5. The aim of this paper is to extend the concept of sectional pseudocomplementation from lattices to posets. At first we show that the class of sectionally pseudocomplemented lattices forms a variety of lattices which can be described by two simple identities. This variety has nice congruence properties. We summarize properties of sectionally pseudocomplemented posets and show differences to relative pseudocomplementation. We prove that every sectionally pseudocomplemented poset is completelyL-semidistributive. We introduce the concept of congruence on these posets and show when the quotient structure becomes a poset again. Finally, we study the Dedekind-MacNeille completion of sectionally pseudocomplemented posets. We show that contrary to the case of relatively pseudocomplemented posets, this completion need not be sectionally pseudocomplemented but we present the construction of a so-called generalized ordinal sum which enables us to construct the Dedekind-MacNeille completion provided the completions of the summands are known.
Arylnaphthalene lactones: structures and pharmacological potentials
Authors: Park Soyoung , Kim Seungsu , Shin Dongyun 
Published: March 2021

AbstractNatural arylnaphthalene lactones are representative lignans that are found in various dietary and medicinal plants. Their unique structural features and significant pharmacological activity have attracted considerable attention from both synthetic and medicinal chemists. Owing to their unique structural features such as relative rigid tetracyclic skeleton, structural diversity of more than five substituents, and no chiral center, arylnaphthalene lactones are recognized as a valuable scaffold for drug discovery, in addition to their significant pharmacological activities. This review covers the structures and isolation of all naturally occurring arylnaphthalene lactone congeners reported. Based on the aryl substituents, they were categorized as Type I and Type II and further classified according to the oxidation state of the ring and glycosylation level. Special attention has been paid to natural arylnaphthalene lactones owing to their broad spectrum of biological activities such as cytotoxic, antiplatelet, antiviral, anti-HIV, antifungal, neuroprotective, and anti-inflammatory properties. All the products were reorganized based on their biological activities, and selected data are presented.
Log-logistic parameters estimation using moving extremes ranked set sampling design
Authors: He Xiao-fang , Chen Wang-xue , Yang Rui 
Published: March 2021

AbstractIn statistical parameter estimation problems, how well the parameters are estimated largely depends on the sampling design used. In the current paper, a modification of ranked set sampling (RSS) called moving extremes RSS (MERSS) is considered for the estimation of the scale and shape parameters for the log-logistic distribution. Several traditional estimators and ad hoc estimators will be studied under MERSS. The estimators under MERSS are compared to the corresponding ones under SRS. The simulation results show that the estimators under MERSS are significantly more efficient than the ones under SRS.
Tracy-Widom distribution, Airy2 process and its sample path properties
Authors: Su Zhong-gen , Lei Yu-huan , Shen Tian 
Published: March 2021

AbstractTracy-Widom distribution was first discovered in the study of largest eigenvalues of high dimensional Gaussian unitary ensembles (GUE), and since then it has appeared in a number of apparently distinct research fields. It is believed that Tracy-Widom distribution have a universal feature like classic normal distribution. Airy2process is defined through finite dimensional distributions with Tracy-Widom distribution as its marginal distributions. In this introductory survey, we will briefly review some basic notions, intuitive background and fundamental properties concerning Tracy-Widom distribution and Airy2process. For sake of reading, the paper starts with some simple and well-known facts about normal distributions, Gaussian processes and their sample path properties.
Smart healthcare system-a brain-like computing approach for analyzing the performance of detectron2 and PoseNet models for anomalous action detection in aged people with movement impairments
Authors: Divya R. , Peter J. Dinesh 
Published: March 2021

AbstractIn this era of artificial intelligence, a wide variety of techniques are available in healthcare industry especially to study about various changes happening in the human body. Intelligent assistance using brain-like framework helps to understand and analyze various types of complex data by utilizing most recent innovations such as deep learning and computer vision. Activities are complex practices, including continuous actions as well as interleaved actions that could be processed with fully interconnected neuron-like processing machine in a way the human brain works. Human postures have the ability to express different body movements in different environments. An optimal method is required to identify and analyze different kinds of postures so that the recognition rate has to be increased. The system should handle ambiguous circumstances that include diverse body movements, multiple views and changes in the environments. The objective of this research is to apply real-time pose estimation models for object detection and abnormal activity recognition with vision-based complex key point analysis. Object detection based on bounding box with a mask is successfully implemented with detectron2 deep learning model. Using PoseNet model, normal and abnormal activities are successfully distinguished, and the performance is evaluated. The proposed system implemented a state of the art computing model for the development of public healthcare industry. The experimental results show that the models have high levels of accuracy for detecting sudden changes in movements under varying environments.
Cryogenic Exfoliation of 2D Stanene Nanosheets for Cancer Theranostics
Authors: Ouyang Jiang , Zhang Ling , Li Leijiao , Chen Wei , Tang Zhongmin , Ji Xiaoyuan , Feng Chan , Tao Na , Kong Na , Chen Tianfeng , Liu You-Nian , Tao Wei 
Published: March 2021

Abstract
Stanene (Sn)-based materials have been extensively applied in industrial production and daily life, but their potential biomedical application remains largely unexplored, which is due to the absence of the appropriate and effective methods for fabricating Sn-based biomaterials. Herein, we explored a new approach combining cryogenic exfoliation and liquid-phase exfoliation to successfully manufacture two-dimensional (2D) Sn nanosheets (SnNSs). The obtained SnNSs exhibited a typical sheet-like structure with an average size of ~ 100 nm and a thickness of ~ 5.1 nm. After PEGylation, the resulting PEGylated SnNSs (SnNSs@PEG) exhibited good stability, superior biocompatibility, and excellent photothermal performance, which could serve as robust photothermal agents for multi-modal imaging (fluorescence/photoacoustic/photothermal imaging)-guided photothermal elimination of cancer. Furthermore, we also used first-principles density functional theory calculations to investigate the photothermal mechanism of SnNSs, revealing that the free electrons in upper and lower layers of SnNSs contribute to the conversion of the photo to thermal. This work not only introduces a new approach to fabricate 2D SnNSs but also establishes the SnNSs-based nanomedicines for photonic cancer theranostics. This new type of SnNSs with great potential in the field of nanomedicines may spur a wave of developing Sn-based biological materials to benefit biomedical applications.
Chronic sources of low cocoa production in Ghana: new insights from meta-analysis of old survey data
Authors: Tsiboe Francis 
Published: March 2021

Abstract
Several studies have tried to estimate the productivity and input use efficiency of cocoa farmers in Ghana, but they shed limited light on their chronic nature and other sources of low production. This study extends the literature by analyzing a unique nationally representative sample that constitutes 30 years of production. The results showed that pure farmer technical inefficiency is not only 8 percent points larger than the regional technology gap, but also consistently dominated the overall performance of farmers from 1987-2017. The policy implication of this finding at face value suggests that improving farmer managerial skills could increase output.