bluuebunny/crossref_metadata_2025 huggingface dataset:
Surfactant Attenuates Air Embolism-Induced Lung Injury by Suppressing NKCC1 Expression and NF-κB Activation
Authors: Lan Chou-Chin , Wu Yao-Kuang , Peng Chung-Kan , Huang Kun-Lun , Wu Chin-Pyng
Published: October 2020

Abstract

Excessive amounts of air can enter the lungs and cause air embolism (AE)-induced acute lung injury (ALI). Pulmonary AE can occur during diving, aviation, and iatrogenic invasive procedures. AE-induced lung injury presents with severe hypoxia, pulmonary hypertension, microvascular hyper-permeability, and severe inflammatory responses. Pulmonary AE-induced ALI is a serious complication resulting in significant morbidity and mortality. Surfactant is abundant in the lungs and its function is to lower surface tension. Earlier studies have explored the beneficial effects of surfactant in ALI; however, none have investigated the role of surfactant in pulmonary AE-induced ALI. Therefore, we conducted this study to determine the effects of surfactant in pulmonary AE-induced ALI. Isolated-perfused rat lungs were used as a model of pulmonary AE. The animals were divided into four groups (n = 6 per group): sham, air embolism (AE), AE + surfactant (0.5 mg/kg), and AE+ surfactant (1 mg/kg). Surfactant pretreatment was administered before the induction of pulmonary AE. Pulmonary AE was induced by the infusion of 0.7 cc air through a pulmonary artery catheter. After induction of air, pulmonary AE was presented with pulmonary edema, pulmonary microvascular hyper-permeability, and lung inflammation with neutrophilic sequestration. Activation of NF-κB was observed, along with increased expression of pro-inflammatory cytokines, and Na-K-Cl cotransporter isoform 1 (NKCC1). Surfactant suppressed the activation of NF-κB and decreased the expression of pro-inflammatory cytokines and NKCC1, thereby attenuating AE-induced lung injury. Therefore, AE-induced ALI presented with pulmonary edema, microvascular hyper-permeability, and lung inflammation. Surfactant suppressed the expressions of NF-κB, pro-inflammatory cytokines, and NKCC1, thereby attenuating AE-induced lung injury.
Well-Being and Pluralism
Authors: Mitchell Polly , Alexandrova Anna
Published: October 2020

It is a commonly expressed sentiment that the science and philosophy of well-being would do well to learn from each other. Typically such calls identify mistakes and bad practices on both sides that would be remedied if scientists picked the right bit of philosophy and philosophers picked the right bit of science. We argue that the differences between philosophers and scientists thinking about well-being are more difficult to reconcile than such calls suggest, and that pluralism is central to this task. Pluralism is a stance that explicitly drives towards accommodating and nurturing the richness and diversity of well-being, both as a concept and as an object of inquiry. We show that well-being science manifests a contingent pluralism at the level of methodology, whereas philosophy of well-being has largely rejected pluralism at the conceptual level. Recently, things have begun to change. Within philosophy, conceptual monism is under attack. But so is methodological pluralism within science. We welcome the first development, and bemoan the second. We argue that a joined-up philosophy and science of well-being should recognise the virtues of both conceptual and methodological pluralism. Philosophers should embrace the methodological justification of pluralism that can be found in the well-being sciences, and scientists should embrace the conceptual reasons to be pluralist that can be found in philosophical debate.
Functional Limit Theorems for the Fractional Ornstein–Uhlenbeck Process
Authors: Gehringer Johann , Li Xue-Mei
Published: October 2020

We prove a functional limit theorem for vector-valued functionals of the fractional Ornstein–Uhlenbeck process, providing the foundation for the fluctuation theory of slow/fast systems driven by both long- and short-range-dependent noise. The limit process has both Gaussian and non-Gaussian components. The theorem holds for any$$L^2$$L2functions, whereas for functions with stronger integrability properties the convergence is shown to hold in the Hölder topology, the rough topology for processes in$$C^{\frac{1}{2}+}$$C12+. This leads to a ‘rough creation’ / ‘rough homogenization’ theorem, by which we mean the weak convergence of a family of random smooth curves to a non-Markovian random process with non-differentiable sample paths. In particular, we obtain effective dynamics for the second-order problem and for the kinetic fractional Brownian motion model.
Rethinking the Encounter Between Law and Nature in the Anthropocene: From Biopolitical Sovereignty to Wonder
Authors: De Lucia Vito
Published: October 2020

The rise of the idea of the Anthropocene is promoting multiple reflections on its meaning. As we consider entering this new geological epoch, we realize the pervasiveness of humankind’s deconstruction and reconstruction of the Earth, in both geophysical and discursive terms. As the body of the Earth is marked and reshaped, so is its idea. From a hostile territory to be subjugated and exploited through sovereign commands, the Earth is now reframed as a vulnerable domain in need of protection. The mode of sovereignty, which has accompanied human and legal history and practice during modernity and its project of mastery, is no longer useful. Humanity’s control of the Earth is being reimagined and reconfigured along biopolitical coordinates of thought and action. Biopolitics shifts the focus of power, changes its modalities of interventions, and rearticulates its legitimacy on the idea of taking responsibility for the Earth, for nature. A biopolitical re-orientation of law captures the fundamental aim of caring for nature, of fostering its vital possibilities and of enhancing its productive potential. Yet, biopolitics engulfs nature in its entirety under its framework of control, where protection and subjugation, vulnerability and productivity, life and death are constantly entangled in a reciprocal and inevitable relation of indistinguishability. Sovereignty becomes thus a key modality of biopolitical intervention, when nature is recalcitrant, wild, spontaneous, unpredictable, violent, dangerous. Biopolitics, thus, remains caught in an undecidable dilemma, where in order to protect the Earth, it must subjugate it; to save it, it must condemn it. In this respect, biopolitics remains utterly modern, or as argued by Roberto Esposito, modernity has always been biopolitical, insofar as modernity has emerged as a framework for the protection of life against life’s own excesses. But how can we escape the biopolitical reframing and enframing of the Earth and its total subsumption under its matrix of control? How can we rethink the encounter between law and nature without remaining entangled in the aporetic dilemma of biopolitics? An aesthetics of wonder may offer a way.
Creating explorable extended reality environments with semantic annotations
Authors: Flotyński Jakub
Published: October 2020

The main element of extended reality (XR) environments is behavior-rich 3D content consisting of objects that act and interact with one another as well as with users. Such actions and interactions constitute the evolution of the content over time. Multiple application domains of XR, e.g., education, training, marketing, merchandising, and design, could benefit from the analysis of 3D content changes based on general or domain knowledge comprehensible to average users or domain experts. Such analysis can be intended, in particular, to monitor, comprehend, examine, and control XR environments as well as users’ skills, experience, interests and preferences, and XR objects’ features. However, it is difficult to achieve as long as XR environments are developed with methods and tools that focus on programming and 3D modeling rather than expressing domain knowledge accompanying content users and objects, and their behavior. The main contribution of this paper is an approach to creating explorable knowledge-based XR environments with semantic annotations. The approach combines description logics with aspect-oriented programming, which enables knowledge representation in an arbitrary domain as well as transformation of available environments with minimal users’ effort. We have implemented the approach using well-established development tools and exemplify it with an explorable immersive car showroom. The approach enables efficient creation of explorable XR environments and knowledge acquisition from XR.
Engaging end-user driven recommender systems: personalization through web augmentation
Authors: Wischenbart Martin , Firmenich Sergio , Rossi Gustavo , Bosetti Gabriela , Kapsammer Elisabeth
Published: October 2020

In the past decades recommender systems have become a powerful tool to improve personalization on the Web. Yet, many popular websites lack such functionality, its implementation usually requires certain technical skills, and, above all, its introduction is beyond the scope and control of end-users. To alleviate these problems, this paper presents a novel tool to empower end-users without programming skills, without any involvement of website providers, to embed personalized recommendations of items into arbitrary websites on client-side. For this we have developed a generic meta-model to capture recommender system configuration parameters in general as well as in a web augmentation context. Thereupon, we have implemented a wizard in the form of an easy-to-use browser plug-in, allowing the generation of so-called user scripts, which are executed in the browser to engage collaborative filtering functionality from a provided external rest service. We discuss functionality and limitations of the approach, and in a study with end-users we assess the usability and show its suitability for combining recommender systems with web augmentation techniques, aiming to empower end-users to implement controllable recommender applications for a more personalized browsing experience.
Accessibility in 360° video players
Authors: Hughes Chris J. , Montagud Mario
Published: October 2020

Accessibility is a key requirement for any multimedia tool and application. With the current trend towards immersive experiences, such as Virtual Reality (VR) and 360o video, it becomes key that these environments are adapted to be fully accessible. However, until recently the focus has been mostly on adapting the existing techniques to fit immersive displays, rather than considering new approaches for accessibility designed specifically for these increasingly relevant media experiences.

This paper surveys a wide range of 360o video players and examines the features they include for dealing with accessibility, such as Subtitles, Audio Description, Sign Language, User Interfaces and other interaction features, like voice control and support for multi-screen scenarios. These features have been chosen based on guidelines from standardization contributions, like in the World Wide Web Consortium (W3C) and the International Communication Union (ITU), and from research contributions for making 360° video consumption experiences accessible. The in-depth analysis has been part of a research effort towards the development of a fully inclusive and accessible 360° video player. The paper concludes by discussing how the newly developed player has gone above and beyond the existing solutions and guidelines, by providing accessibility features that meet the expectations for a widely used immersive medium, like 360° video.
Fast body part segmentation and tracking of neonatal video data using deep learning
Authors: Antink Christoph Hoog , Ferreira Joana Carlos Mesquita , Paul Michael , Lyra Simon , Heimann Konrad , Karthik Srinivasa , Joseph Jayaraj , Jayaraman Kumutha , Orlikowsky Thorsten , Sivaprakasam Mohanasankar , Leonhardt Steffen
Published: October 2020

Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical adhesive-related skin injuries and associated complications. For practical implementations of PPGI, a region of interest has to be detected automatically in real time. As the neonates’ body proportions differ significantly from adults, existing approaches may not be used in a straightforward way, and color-based skin detection requires RGB data, thus prohibiting the use of less-intrusive near-infrared (NIR) acquisition. In this paper, we present a deep learning-based method for segmentation of neonatal video data. We augmented an existing encoder-decoder semantic segmentation method with a modified version of the ResNet-50 encoder. This reduced the computational time by a factor of 7.5, so that 30 frames per second can be processed at 960 × 576 pixels. The method was developed and optimized on publicly available databases with segmentation data from adults. For evaluation, a comprehensive dataset consisting of RGB and NIR video recordings from 29 neonates with various skin tones recorded in two NICUs in Germany and India was used. From all recordings, 643 frames were manually segmented. After pre-training the model on the public adult data, parts of the neonatal data were used for additional learning and left-out neonates are used for cross-validated evaluation. On the RGB data, the head is segmented well (82% intersection over union, 88% accuracy), and performance is comparable with those achieved on large, public, non-neonatal datasets. On the other hand, performance on the NIR data was inferior. By employing data augmentation to generate additional virtual NIR data for training, results could be improved and the head could be segmented with 62% intersection over union and 65% accuracy. The method is in theory capable of performing segmentation in real time and thus it may provide a useful tool for future PPGI applications.
Powder Treatment for Increased Thickness of Iron Coatings Produced by the Powder Aerosol Deposition Method and Formation of Iron–Alumina Multilayer Structures
Authors: Leupold Nico , Denneler Stefan , Rieger Gotthard , Moos Ralf
Published: October 2020

The powder aerosol deposition (PAD) method is a well-known process to fabricate dense layers at room temperature directly from the powder. It is particularly suitable for the deposition of ceramic materials. Compared to these, the use of metal powders (here iron), which are significantly more ductile and have a higher density than typical ceramic powders, has not yet been investigated in detail for PAD. In the first step of this work, the iron powder is characterized by scanning electron microscopy and x-ray diffraction. In order to improve the deposition behavior, the influence of heat treatment on the crystallite and the particle size of the iron powder is investigated. It is shown that the crystallite size of iron powders is reduced down to a nanocrystalline size during deposition. The magnetic properties of the iron powder as well as the layers are investigated by means of coercive field development. Although the initial coercivity raises after deposition, potential applications for flux guiding in microelectronic sensors and devices are feasible. In the second step, thin metal layers (iron) and ceramics (aluminum oxide) are deposited alternatingly to produce iron–alumina multilayer structures.
Industry 4.0: smart test bench for shipbuilding industry
Authors: Giallanza Antonio , Aiello Giuseppe , Marannano Giuseppe , Nigrelli Vincenzo
Published: October 2020

Industry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the proposed Internet of Things-platform demonstrates the efficacy of the decision-making support tool in improving the design of propulsion systems and increasing their efficiency compared to traditional systems.
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits
Authors: Andriella Antonio , Siqueira Henrique , Fu Di , Magg Sven , Barros Pablo , Wermter Stefan , Torras Carme , Alenyà Guillem
Published: October 2020

Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality traits that are highly context-dependent. Hence, analysing how humans behave in a given context is crucial to evaluate which of those social cues are effective. For this purpose, we designed an assistive memory game, in which participants were asked to play the game obtaining support from an introvert or extroverted helper, whether from a human or robot. In this context, we aim to (i) explore whether selective verbal and non-verbal social cues related to personality can be modelled in a robot, (ii) evaluate the efficiency of a statistical decision-making algorithm employed by the robot to provide adaptive assistance, and (iii) assess the validity of the similarity attraction principle. Specifically, we conducted two user studies. In the human–human study (N=31), we explored the effects of helper’s personality on participants’ performance and extracted distinctive verbal and non-verbal social cues from the human helper. In the human–robot study (N=24), we modelled the extracted social cues in the robot and evaluated its effectiveness on participants’ performance. Our findings showed that participants were able to distinguish between robots’ personalities, and not between the level of autonomy of the robot (Wizard-of-Oz vs fully autonomous). Finally, we found that participants achieved better performance with a robot helper that had a similar personality to them, or a human helper that had a different personality.
Open-Label Placebo Treatment: Outcome Expectations and General Acceptance in the Lay Population
Authors: Haas Julia W. , Rief Winfried , Doering Bettina K.
Published: October 2020

Background

Most physicians sometimes apply therapies without specific active ingredients. Although patients seem to judge such placebo treatments as acceptable under certain circumstances, deception is still an ethical problem. Open-label placebos (OLPs) might be a promising approach to solve this dilemma. This study compared general acceptance and outcome expectations of OLPs and deceptive placebos (DPs).

Methods

In an experimental online study, 814 participants read a case vignette of a person with insomnia receiving a pill. The participants were then randomly allocated into two groups, where the second part of the vignette described the pill as either a deceptive placebo (DP group) or as an open-label placebo (OLP group). The Credibility/Expectancy Questionnaire (CEQ) assessed outcome expectations after the first (pre-assessment) and the second (post-assessment) parts of the vignette. Treatment acceptance was measured at post-assessment. Data from 798 participants were analyzed by a mixed multivariate analysis of variance (MANOVA), t-tests, and post-hoc mediation analyses.

Results

The MANOVA revealed a significant group main effect and a significant time × group interaction effect. At post-assessment, outcome expectations were higher in the DP group than in the OLP group. Acceptance of the placebo treatment was also higher in the DP group than in the OLP group. Mediation analyses confirmed that higher acceptance in the DP group was mediated by higher expectations.

Conclusions

When laypersons read about placebo treatment, their outcome expectations toward DPs were higher than toward OLPs. Surprisingly, the application of DPs was rated as more acceptable than OLPs. This result might be explained by indirect effects of treatment expectations.
Designing HIV Vaccine Efficacy Trials in the Context of Highly Effective Non-vaccine Prevention Modalities
Authors: Janes Holly , Zhu Yifan , Brown Elizabeth R.
Published: October 2020

The evolving HIV prevention landscape poses challenges to the statistical design of future trials of candidate HIV vaccines. Study designs must address the anticipated reduction in HIV incidence due to adding new prevention modalities to the standard prevention package provided to trial participants, and must also accommodate individual choices of participants with regard to the use of these modalities. We explore four potential trial designs that address these challenges, with a focus on accommodating the newest addition to the prevention package-antiretroviral-based oral pre-exposure prophylaxis (PrEP). The designs differ with respect to how individuals who take up oral PrEP at screening are handled. An All-Comers Design enrolls and randomizes all eligible individuals, a Decliners Design enrolls and randomizes only those who decline PrEP at screening, and Single and Multi-Stage Run-In Designs enroll all but randomize only those who decline PrEP or show inadequate adherence to PrEP after one or multiple run-in periods. We compare these designs with respect to required sample sizes, study duration, and resource requirements, using a simulation model that incorporates data on HIV risk and PrEP uptake and adherence among men who have sex with men (MSM) in the Americas. We advocate considering Run-In Designs for some future contexts, and identify their advantages and tradeoffs relative to the other designs. The design concepts apply beyond HIV vaccines to other prevention modalities being developed with the aim to achieve further reductions in HIV incidence.
Correction to: Safety of Early Administration of Apixaban on Clinical Outcomes in Patients with Acute Large Vessel Occlusion
Authors: Yoshimura Shinichi , Uchida Kazutaka , Sakai Nobuyuki , Imamura Hirotoshi , Yamagami Hiroshi , Tanaka Kanta , Ezura Masayuki , Nonaka Tadashi , Matsumoto Yasushi , Shibata Masunari , Ohta Hajime , Morimoto Masafumi , Fukawa Norihito , Hatano Taketo , Enomoto Yukiko , Takeuchi Masataka , Ota Takahiro , Shimizu Fuminori , Kimura Naoto , Kamiya Yuki , Shimamura Norito , Morimoto Takeshi
Published: October 2020

There was an error in Fig. 2d. The correct Fig. 2d is shown below.
CRISPR: a journey of gene-editing based medicine
Authors: Golkar Zhabiz
Published: October 2020

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeat) is one of the hallmark of biological tools, contemplated as a valid and hopeful alternatives to genome editing. Advancements in CRISPR-based technologies have empowered scientists with an editing kit that allows them to employ their knowledge for deleting, replacing and lately “Gene Surgery”, and provides unique control over genes in broad range of species, and presumably in humans. These fast-growing technologies have high strength and flexibility and are becoming an adaptable tool with implementations that are altering organism’s genome and easily used for chromatin manipulation. In addition to the popularity of CRISPR in genome engineering and modern biology, this major tool authorizes breakthrough discoveries and methodological advancements in science. As scientists are developing new types of experiments, some of the applications are raising questions about what CRISPR can enable. The results of evidence-based research strongly suggest that CRISPR is becoming a practical tool for genome-engineering and to create genetically modified eukaryotes, which is needed to establish guidelines on new regulatory concerns for scientific communities.
Hordatines as a Potential Inhibitor of COVID-19 Main Protease and RNA Polymerase: An In-Silico Approach
Authors: Dahab Mohammed A. , Hegazy Mostafa M. , Abbass Hatem S.
Published: October 2020

Total 40 natural compounds were selected to perform the molecular docking studies to screen and identify the potent antiviral agents specifically for Severe Acute Respiratory Syndrome Coronavirus 2 that causes coronavirus disease 2019 (COVID-19). The key targets of COVID-19, protease (PDB ID: 7BQY) and RNA polymerase (PDB ID: 7bV2) were used to dock our target compounds by Molecular Operating Environment (MOE) version 2014.09. We used 3 different conformations of protease target (6M0K, 6Y2F and 7BQY) and two different score functions to strengthen the probability of inhibitors discovery. After an extensive screening analysis, 20 compounds exhibit good binding affinities to one or both COVID-19 targets. 7 out of 20 compounds were predicted to overcome the activity of both targets. The top 7 hits are, flacourticin (3), sagerinic acid (16), hordatine A (23), hordatine B (24), N-feruloyl tyramine dimer (25), bisavenanthramides B-5 (29) and vulnibactins (40). According to our results, all these top hits was found to have a better binding scores than remdesivir, the native ligand in RNA polymerase target (PDB ID: 7bV2). Hordatines are phenolic compounds present in barley, were found to exhibit the highest binding affinity to both protease and polymerase through forming strong hydrogen bonds with the catalytic residues, as well as significant interactions with other receptor-binding residues. These results probably provided an excellent lead candidate for the development of therapeutic drugs against COVID-19. Eventually, animal experiment and accurate clinical trials are needed to confirm the preventive potentials of these compounds.

Graphic Abstract
Knowledge syntheses in medical education: A bibliometric analysis
Authors: Maggio Lauren A. , Costello Joseph A. , Norton Candace , Driessen Erik W. , Artino Jr Anthony R.
Published: October 2020

Purpose This bibliometric analysis maps the landscape of knowledge syntheses in medical education. It provides scholars with a roadmap for understanding where the field has been and where it might go in the future, thereby informing research and educational practice. In particular, this analysis details the venues in which knowledge syntheses are published, the types of syntheses conducted, citation rates they produce, and altmetric attention they garner.
Method In 2020, the authors conducted a bibliometric analysis of knowledge syntheses published in 14 core medical education journals from 1999 to 2019. To characterize the studies, metadata were extracted from PubMed, Web of Science, Altmetrics Explorer, and Unpaywall.
Results The authors analyzed 963 knowledge syntheses representing 3.1% of the total articles published (n = 30,597). On average, 45.9 knowledge syntheses were published annually (SD = 35.85, median = 33), and there was an overall 2620% increase in the number of knowledge syntheses published from 1999 to 2019. The journals each published, on average, a total of 68.8 knowledge syntheses (SD = 67.2, median = 41) with Medical Education publishing the most (n = 189; 19%). Twenty-one types of knowledge synthesis were identified, the most prevalent being systematic reviews (n = 341; 35.4%) and scoping reviews (n = 88; 9.1%). Knowledge syntheses were cited an average of 53.80 times (SD = 107.12, median = 19) and received a mean Altmetric Attention Score of 14.12 (SD = 37.59, median = 6).
Integral treatment of butt joints for the fatigue life assessment in the low cycle fatigue regime
Authors: Möller Benjamin
Published: October 2020

The framework for a fatigue assessment of welded joints under service loading conditions of crane structures from the low cycle to the high cycle fatigue regime includes the consideration of elastic-plastic material behavior, variable amplitude loading, and acceptable calculation times. Therefore, an integral treatment of butt joints has been developed for fatigue life estimation. The butt weld is considered in its entirety, so that it can be described by its cyclic behavior. The evaluation of the cyclic stress-strain behavior and tri-linear strain-life curves of butt joints for different high-strength, fine-grained structural steels, derived by strain-controlled fatigue tests, is the basis for this description. This procedure is not limited to conventionally applied gas metal arc welding only, but also the fatigue assessment of laser beam welding is possible, for example. Cyclic transient effects have been analyzed and a distinctive cyclic softening is described by linearization of Ramberg-Osgood parameters, depending on the damage content of each cycle derived from constant amplitude, strain-controlled tests. On the basis of the cyclic behavior in combination with memory and Masing behavior, a simulation of the stress-strain paths of investigated butt welds, under constant and variable amplitude loading, has been performed. Damage parameters are used to accumulate the damage cycle by cycle in order to derive the fatigue lifetime. Finally, calculated fatigue lives were compared with experimentally determined lives, showing the impact of this procedure.
CuATSM PET to diagnose age-related diseases: a systematic literature review
Authors: Majerníková Naďa , Yu Jenny Jia , Maier Andrea B.
Published: October 2020

Purpose

Cu(II)-diacetyl-bis(N4-methylthiosemicarbazone) positron emission tomography (CuATSM PET) is a non-invasive imaging technique that can be used to detect hypoxia and inform prognosis in cancer. Hypoxia and oxidative stress are also hallmarks of various age-related diseases. Whether CuATSM PET has a role in the evaluation of hypoxia and oxidative stress in age-related diseases has yet to be established. The aim of this systematic review is to evaluate the utility of CuATSM PET in the diagnosis and management of age-related diseases.

Methods

EMBASE, Medline, Scopus, Web of Science and Psychinfo were systematically searched for articles published between January 1st 1997 and February 13th 2020. We included articles published in English reporting the use of CuATSM PET in the diagnosis and management of age-related diseases in humans or animals.

Results

Nine articles were included describing CuATSM PET measures in neurological and cardiovascular disease. There was higher CuATSM uptake in diseased compared to control subjects in Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), myocardial ischemia (MI), cardiac dysautonomia and atherosclerosis. Higher CuATSM uptake was seen in diseased compared to control anatomical areas in PD, cerebrovascular disease (CVD), MI and atherosclerosis. CuATSM uptake was associated with disease severity in PD, ALS, CVD and atherosclerosis. An association between CuATSM uptake and disease duration was shown in atherosclerosis.

Conclusion

CuATSM uptake is higher in neurological and cardiovascular diseases and associated with disease severity and duration. Further investigations using CuATSM PET in other age-related diseases are needed.
Ductile iron optimization approach for mechanically and thermally loaded components
Authors: Laine Jarkko , Leppänen A. , Jalava K. , Vaara J. , Frondelius T. , Orkas J.
Published: October 2020

The mechanical and thermal properties of ferritic–pearlitic ductile irons vary widely according to their silicon and pearlite contents. Thus, different combinations of silicon and pearlite affect components’ lifetime under mechanical and thermal stress. An excellent example of the usage of such irons is combustion engine cylinder heads. They experience transient thermal loading (heating and cooling) during starting and stopping in addition to mechanical loading (combustion) during engine operation. An optimization approach and calculation models for the estimation of the optimal ductile iron composition are presented in this study. The approach allows selection of the most suitable base composition for subsequent analyses, such as casting simulation and final accurate finite element modelling and fatigue calculations.
Parrot: A Progressive Analysis System on Large Text Collections
Authors: Zhang Yazhong , Zhang Hanbing , He Zhenying , Jing Yinan , Zhang Kai , Wang X. Sean
Published: October 2020

The size of textual data continues to grow along with the need for timely and cost-effective analysis, while the growth of computation power cannot keep up with the growth of data. The delays when processing huge textual data can negatively impact user activity and insight. This calls for a paradigm shift from blocking fashion to progressive processing. In this paper, we propose a sample-based progressive processing model that focuses on term frequency calculation on text. The model is based on an incremental execution engine and will calculate a series of approximate results for a single query in a progressive way to provide a smooth trade-off between accuracy and latency. As a part, we proposed a new variant of the bootstrap technique to quantify result error progressively. We implemented this method in our system called Parrot on top of Apache Spark and used real-world data to test its performance. Experiments demonstrate that our method is 2.4×–19.7× faster to get a result within 1% error while the confidence interval always covers the accurate results very well.
Surface and Structural Properties of Clay Materials Based on Natural Saponite
Authors: Yanushevska O. I. , Dontsova T. A. , Aleksyk A. I. , Vlasenko N. V. , Didenko O. Z. , Nypadymka A. S.
Published: October 2020

Because they are so widespread, the use of saponites is significant in many industries. The modification of saponite-rich clay minerals is known to improve their existing characteristics and may provide new functional properties. The objective of the present paper was to characterize the effects of adding nanosized graphene-like molybdenum (Mo) and tungsten (W) sulfides on the textural and surface characteristics of composites based on native saponite and saponite pre-modified with nanoscale magnetite. The textural characteristics were investigated by the nitrogen adsorption-desorption method and scanning electron microscopy. The total acidity, Hammett Brönsted centers, and Quasi-Equilibrium Thermo Desorption (QE-TD) Lewis centers were characteristics used to probe the acid-base properties of the modified composites. In all cases, modification proved to have a significant effect on both the surface and textural properties of the clay matrix. Modification of the native saponite by graphene-like Mo and W sulfides resulted in a decrease in the specific surface area, except a slight increase in the surface area of the magnetite-containing saponite was observed. Analysis of the acid-base characteristics of native and magnetite-modified saponite (MMS) indicated the ability of modified MoS2 and WS2 additives to alter the acid-base state of the surface. The addition of graphene-like Mo and W sulfides increased the total acidity of native and MMS, with MoS2 modification being more promising because, in almost all the samples, saponite composite materials increased the number of both Brönsted and Lewis active centers compared with WS2, which was determined by the corresponding methods. The acid-base characteristics of the saponite-containing samples, which were studied in an aqueous medium by various methods, are in good correlation with each other, and are consistent with the sorption activity of cationic and anionic dyes.
In the Know
Authors: Warne Russell T.
Published: October 2020

Emotional intelligence is an important trait for success at work. IQ tests are biased against minorities. Every child is gifted. Preschool makes children smarter. Western understandings of intelligence are inappropriate for other cultures. These are some of the statements about intelligence that are common in the media and in popular culture. But none of them are true. In the Know is a tour of the most common incorrect beliefs about intelligence and IQ. Written in a fantastically engaging way, each chapter is dedicated to correcting a misconception and explains the real science behind intelligence. Controversies related to IQ will wither away in the face of the facts, leaving readers with a clear understanding about the truth of intelligence.
Learning Scientific Programming with Python
Authors: Hill Christian
Published: October 2020

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.
Ethics and the Media
Authors: Ward Stephen J. A.
Published: October 2020

Now revised and containing several new chapters, this book provides a comprehensive set of ethical principles and methods of reasoning for a new era of digital, global media. It describes the turbulent state of media ethics in ordinary language and through clear examples, and provides a pragmatic theory of truth and objectivity for engaged media. Concrete guidelines are articulated for identifying fake news and for reporting responsibly on social media racism, extreme groups, and anti-democratic demagogues, showing how citizens and journalists can work together to detox a polluted public sphere. The book examines global media ethics, where norms guide the reporting of global issues such as climate change and immigration, and considers what constitutes responsible journalism. It will be valuable for both students and practitioners of journalism and media ethics, and can also be used as a citizen's guide for evaluating media reports.
The Book of Proverbs and Virtue Ethics
Authors: Keefer Arthur Jan
Published: October 2020

In this book, Arthur Keefer offers a new interpretation of the book of Proverbs from the standpoint of virtue ethics. Using an innovative method that bridges philosophy and biblical studies, he argues that much of the instruction within Proverbs meets the criteria for moral and theological virtue as set out in Aristotle's Nicomachean Ethics and the works of St. Thomas Aquinas. Keefer presents the moral thought of Proverbs in its social, historical, and theological contexts. He shows how these contexts shed light on the conceptualization of virtue, the virtues that are promoted and omitted, and the characteristics that make Proverbs a distinctive moral tradition. In giving undivided attention to biblical virtue, this volume opens the way for new avenues of study in biblical ethics, including law, narrative, and other aspects of biblical instruction and wisdom.
The Volatility Curse
Authors: Campello Daniela , Zucco Cesar
Published: October 2020

The Volatility Curse examines the conditions under which economic voting can (and cannot) function as a mechanism of democratic accountability, challenging existing theories that are largely based on experiences in developed democracies. Drawing on cross-national data from around the world and micro-level evidence from Latin America, Daniela Campello and Cesar Zucco make two broad, related arguments. First, they show that economic voting is pervasive around the world, but in economically volatile developing democracies that are dependent on commodity exports and inflows of foreign capital, economic outcomes are highly contingent on conditions beyond government control, which nonetheless determine relevant political outcomes like elections, popular support, and government transitions. Second, politicians are aware of these misattribution patterns and are often able to anticipate their electoral prospects well before elections. This reduces incumbents' incentives to maximize voter welfare, as anticipated by economic voting theories, and increases the likelihood of shirking, waste, and corruption.
Identifying and Implementing Strategies to Reduce the Risk of Self-Contamination of Health Care Workers Caused by Doffing of Personal Protective Equipment During the COVID-19 Pandemic
Authors: Saran Sai , Gurjar Mohan , Garg Atul
Published: October 2020

During the current coronavirus disease (COVID-19) pandemic, it is estimated that tens of thousands of health care workers have been infected. The doffing of personal protective equipment (PPE) has been identified an important place and procedure that might influence the self-contamination of health care workers. More recent evidence suggests that, in addition to existing infection control standards, there is an urgent need for the incorporation of various recent information and advancements pertaining to structure and process to reduce the self-contamination of health care workers during the doffing of PPE.
Finding Opportunities for Health-Care System Advancement in the COVID-19 Crisis
Authors: Malish Richard G. , Meyers Garrett , Sondgeroth Charles D. , Whiddon Michael S. , Hall Brian T.
Published: October 2020

The coronavirus disease 2019 (COVID-19) pandemic forced American medical systems to adapt to high patient loads of respiratory disease. Its disruption of normal routines also brought opportunities for broader reform. The purpose of this article is to describe how the Carl R. Darnall Army Medical Center (CRDAMC), a medium-sized Army hospital, capitalized on opportunities to advance its strategic aims during the pandemic. Specifically, the hospital sequentially adopted virtual video visits, surged on preventative screenings, and made-over its image to appeal to patients seeking urgent care. These campaigns supported COVID-19 efforts and larger strategic goals simultaneously, and they will endure for years to come. Predictably, CRDAMC encountered obstacles in the course of its transformation. These obstacles and their follow-on lessons are provided to assist future medical leaders seeking quantum change in the opportunities made available by health crises.
A PREDICATIVE VARIANT OF HYLAND’S EFFECTIVE TOPOS
Authors: MAIETTI MARIA EMILIA , MASCHIO SAMUELE
Published: October 2020

Here, we present a category
${\mathbf {pEff}}$
which can be considered a predicative variant of Hyland's Effective Topos
${{\mathbf {Eff} }}$
for the following reasons. First, its construction is carried in Feferman’s predicative theory of non-iterative fixpoints
${{\widehat {ID_1}}}$
. Second,
${\mathbf {pEff}}$
is a list-arithmetic locally cartesian closed pretopos with a full subcategory
${{\mathbf {pEff}_{set}}}$
of small objects having the same categorical structure which is preserved by the embedding in
${\mathbf {pEff}}$
; furthermore subobjects in
${{\mathbf {pEff}_{set}}}$
are classified by a non-small object in
${\mathbf {pEff}}$
. Third
${\mathbf {pEff}}$
happens to coincide with the exact completion of the lex category defined as a predicative rendering in
${{\widehat {ID_1}}}$
of the subcategory of
${{\mathbf {Eff} }}$
of recursive functions and it validates the Formal Church’s thesis. Hence pEff turns out to be itself a predicative rendering of a full subcategory of
${{\mathbf {Eff} }}$
.
PUNCTUAL CATEGORICITY AND UNIVERSALITY
Authors: DOWNEY ROD , GREENBERG NOAM , MELNIKOV ALEXANDER , MENG NG KENG , TURETSKY DANIEL
Published: October 2020

We describe punctual categoricity in several natural classes, including binary relational structures and mono-unary functional structures. We prove that every punctually categorical structure in a finite unary language is${\text {PA}}(0')$-categorical, and we show that this upper bound is tight. We also construct an example of a punctually categorical structure whose degree of categoricity is$0''$. We also prove that, with a bit of work, the latter result can be pushed beyond$\Delta ^1_1$, thus showing that punctually categorical structures can possess arbitrarily complex automorphism orbits.

As a consequence, it follows that binary relational structures and unary structures are not universal with respect to primitive recursive interpretations; equivalently, in these classes every rich enough interpretation technique must necessarily involve unbounded existential quantification or infinite disjunction. In contrast, it is well-known that both classes are universal for Turing computability.
Reversal of Fortune or Continued Misery? Ulbe Bosma'sMaking of a PeripheryReviewed
Authors: van Nederveen Meerkerk Elise
Published: October 2020

With his latest book,The Making of a Periphery, Ulbe Bosma makes a successful attempt to “decompress history”. Apart from praising his work, I want to offer two critical comments and a suggestion for global comparison. First, I argue that the role of colonialism/imperialism is somewhat downplayed in the book. Second, although I am impressed by the vast body of literature cited, I believe that at several instances the book might have benefited from its arguments being underpinned by more solid empirical quantitative data. Finally, I raise the question how unique the “plantation economies” of Island South East Asia actually were, which also implies a suggestion for further research along the lines of Bosma's impressive monograph.
Agranulocytosis leads to intestinalEchinococcus multilocularisoncosphere invasion and hepatic metacestode development in naturally resistant Wistar rats
Authors: Joekel Deborah E. , Nur Selim , Monné Rodriguez Josep , Kronenberg Philipp A. , Kipar Anja , LeibundGut-Landmann Salomé , Deplazes Peter
Published: October 2020

Susceptibility toEchinococcus multilocularisinfection considerably varies among intermediate (mostly rodents) and dead-end host species (e.g. humans and pig), in particular regarding intestinal oncosphere invasion and subsequent hepatic metacestode development. Wistar rats are highly resistant to infection and subsequent diseases upon oral inoculation withE. multiloculariseggs, however, after immunosuppressive treatment with dexamethasone, rats become susceptible. To address the role of the cellular innate immunity, Wistar rats were individually or combined depleted of natural killer (NK) cells, macrophages (MΦ) and granulocytes (polymorphonuclear cells, PMN) prior toE. multilocularisegg inoculation. Although NK cell and MΦ depletion did not alter the resistance status of rats, the majority of PMN-depleted animals developed liver metacestodes within 10 weeks, indicating that PMN are key players in preventing oncosphere migration and/or development in Wistar rats.In vitrostudies indicated that resistance is not caused by neutrophil reactive oxygen species or NETosis. Also, light microscopical examinations of the small intestine showed that oral inoculation ofE. multiloculariseggs does not elicit a mucosal neutrophil response, suggesting that the interaction of oncospheres and neutrophils may occur after the former have entered the peripheral blood. We suggest to consider granulocytes as mediators of resistance in more resistant species, such as humans.