bluuebunny/crossref_metadata_2025_split huggingface dataset:
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Authors: Grübl Andreas , Billaudelle Sebastian , Cramer Benjamin , Karasenko Vitali , Schemmel Johannes 
Published: July 2020

AbstractThis paper presents verification and implementation methods that have been developed for the design of the BrainScaleS-2 65 nm ASICs. The 2nd generation BrainScaleS chips are mixed-signal devices with tight coupling between full-custom analog neuromorphic circuits and two general purpose microprocessors (PPU) with SIMD extension for on-chip learning and plasticity. Simulation methods for automated analysis and pre-tapeout calibration of the highly parameterizable analog neuron and synapse circuits and for hardware-software co-development of the digital logic and software stack are presented. Accelerated operation of neuromorphic circuits and highly-parallel digital data buses between the full-custom neuromorphic part and the PPU require custom methodologies to close the digital signal timing at the interfaces. Novel extensions to the standard digital physical implementation design flow are highlighted. We present early results from the first full-size BrainScaleS-2 ASIC containing 512 neurons and 130 K synapses, demonstrating the successful application of these methods. An application example illustrates the full functionality of the BrainScaleS-2 hybrid plasticity architecture.
Developing the collection of statistical food waste data on the primary production of fruit and vegetables
Authors: Joensuu Katri , Hartikainen Hanna , Karppinen Sirpa , Jaakkonen Anna-Kaisa , Kuoppa-aho Mika 
Published: July 2020

AbstractIn order to meet global goals of reducing food waste, feasible monitoring methods to verify the impact of reduction measures are needed. In this study, a method was developed for gathering food waste data related to the primary production of fruit and vegetables using a questionnaire for farmers. A data collection form was planned and tested for this purpose. Data was collected on the volumes of different uses of yields and the reasons why part of the yield does not end up in food use. The crop species that were included in this pilot study were food potatoes, carrots, white cabbage, and strawberries. In primary production, the share of food use of the total yield was highest for potatoes (96%) and lowest for carrots (72%). In the case of strawberries and white cabbage, 86% and 90% were used as food, respectively. In the future, it is recommended that this kind of survey be added to annual crop production surveys that cover agricultural and horticultural enterprises in Finland. To improve the response rate and decrease the reporting load of farmers, it is important that the questionnaire is designed to be as easy as possible to answer.
Antigen 5 Allergens of Hymenoptera Venoms and Their Role in Diagnosis and Therapy of Venom Allergy
Authors: Blank Simon , Bazon Murilo Luiz , Grosch Johannes , Schmidt-Weber Carsten B. , Brochetto-Braga Márcia Regina , Bilò Maria Beatrice , Jakob Thilo 
Published: July 2020

Abstract
Purpose of Review
Stings of Hymenoptera of the superfamily Vespoidea such as yellow jackets, paper wasps or stinging ants are common triggers for severe and even fatal allergic reactions. Antigen 5 allergens are potent allergens in the majority of these venoms with major importance for diagnosis and therapy. Reviewed here are the characteristics of antigen 5 allergens, their role in component-resolved diagnostics as well as current limitations of the available diagnostics for proper therapeutic decisions.

Recent Findings
Antigens 5 are proteins of unknown function in Hymenoptera venoms with high allergenic potency. They represent key elements in component-resolved diagnosis to discriminate between honeybee and vespid venom allergy. However, due to their pronounced cross-reactivity, there are remaining diagnostic and therapeutic challenges that have to be addressed.

Summary
Antigens 5 are highly relevant venom allergens of the Vespoidea superfamily. Although their use in component-resolved diagnosis facilitates dissection of cross-reactivity and primary allergy in double sensitization to honeybee and vespid venom, new diagnostic concepts are needed to discriminate between allergies to different vespid species.
Sudden Cardiac Death Prediction in Non-ischemic Dilated Cardiomyopathy: a Multiparametric and Dynamic Approach
Authors: Hammersley Daniel J. , Halliday Brian P. 
Published: July 2020

AbstractPurpose of ReviewSudden cardiac death is recognised as a devastating consequence of non-ischaemic dilated cardiomyopathy. Although implantable cardiac defibrillators offer protection against some forms of sudden death, the identification of patients in this population most likely to benefit from this therapy remains challenging and controversial. In this review, we evaluate current guidelines and explore established and novel predictors of sudden cardiac death in patients with non-ischaemic dilated cardiomyopathy.Recent FindingsCurrent international guidelines for primary prevention implantable defibrillator therapy do not result in improved longevity for many patients with non-ischemic cardiomyopathy and severe left ventricular dysfunction. More precise methods for identifying higher-risk patients that derive true prognostic benefit from this therapy are required.SummaryDynamic and multi-parametric characterization of myocardial, electrical, serological and genetic substrate offers novel strategies for predicting major arrhythmic risk. Balancing the risk of non-sudden death offers an opportunity to personalize therapy and avoid unnecessary device implantation for those less likely to derive benefit.
Targeting Viral cccDNA for Cure of Chronic Hepatitis B
Authors: Ligat Gaëtan , Goto Kaku , Verrier Eloi , Baumert Thomas F. 
Published: July 2020

AbstractPurpose of ReviewChronic hepatitis B (CHB), caused by hepatitis B virus (HBV), is a major cause of advanced liver disease and hepatocellular carcinoma (HCC) worldwide. HBV replication is characterized by the synthesis of covalently closed circular (ccc) DNA which is not targeted by antiviral nucleos(t)ide analogues (NUCs) the key modality of standard of care. While HBV replication is successfully suppressed in treated patients, they remain at risk for developing HCC. While functional cure, characterized by loss of HBsAg, is the first goal of novel antiviral therapies, curative treatments eliminating cccDNA remain the ultimate goal. This review summarizes recent advances in the discovery and development of novel therapeutic strategies and their impact on cccDNA biology.Recent FindingsWithin the last decade, substantial progress has been made in the understanding of cccDNA biology including the discovery of host dependency factors, epigenetic regulation of cccDNA transcription and immune-mediated degradation. Several approaches targeting cccDNA either in a direct or indirect manner are currently at the stage of discovery, preclinical or early clinical development. Examples include genome-editing approaches, strategies targeting host dependency factors or epigenetic gene regulation, nucleocapsid modulators and immune-mediated degradation.SummaryWhile direct-targeting cccDNA strategies are still largely at the preclinical stage of development, capsid assembly modulators and immune-based approaches have reached the clinical phase. Clinical trials are ongoing to assess their efficacy and safety in patients including their impact on viral cccDNA. Combination therapies provide additional opportunities to overcome current limitations of individual approaches.
Mixed Integral Norms for Ricci Flow
Authors: Di Matteo Gianmichele 
Published: July 2020

AbstractWe prove that a Ricci flow cannot develop a finite time singularity assuming the boundedness of a suitable space-time integral norm of the curvature tensor. Moreover, the extensibility of the flow is proved under a Ricci lower bound and the boundedness of a space-time integral norm of the scalar curvature.
Activated banana peel carbon: a potential adsorbent for Rhodamine B decontamination from aqueous system
Authors: Singh Santosh , Kumar Amit , Gupta Himanshu 
Published: July 2020

AbstractAmong various environmental pollutants, dyes have been reported to contaminate a large quantity of surface water. Rhodamine B, a widely applicable basic dye, is known for its hazardous impact on environment. The present study proposes the application of readily available waste banana peels for the remediation of water contaminated with Rhodamine B. The potential of prepared material to decontaminate Rhodamine B was examined as the function of various parameters. Variation in adsorption time, dose of adsorbent, pH value, and initial concentration has been observed under the influence of diverse condition. Quantitative adsorption was observed at a contact time of 60 min with an adsorbent dose of 12 mg. An increase in the initial dye concentration resulted in the enhancement of adsorption capacity of adsorbent. The value of enthalpy change was observed to be − 8.95 kJ mol−1. The negative value indicates the exothermic removal of Rhodamine B from water. Various models were applied to explain thermodynamics and kinetics of the process. Adsorption kinetics was better explained with pseudo-second-order model, whereas adsorption mechanism by intra-particle diffusion model reveals that pore diffusion was not only the rate-controlling step.
There Is No Techno-Responsibility Gap
Authors: Tigard Daniel W. 
Published: July 2020

AbstractIn a landmark essay, Andreas Matthias claimed that current developments in autonomous, artificially intelligent (AI) systems are creating a so-called responsibility gap, which is allegedly ever-widening and stands to undermine both the moral and legal frameworks of our society. But how severe is the threat posed by emerging technologies? In fact, a great number of authors have indicated that the fear is thoroughly instilled. The most pessimistic are calling for a drastic scaling-back or complete moratorium on AI systems, while the optimists aim to show that the gap can be bridged nonetheless. Contrary to both camps, I argue against the prevailing assumption that there is a technology-based responsibility gap. I show how moral responsibility is a dynamic and flexible process, one that can effectively encompass emerging technological entities.
Design of a Training Model for Remote Management of Patients Hospitalized at Home
Authors: Abril-Jiménez Patricia , Merino-Barbancho Beatriz , Lombroni Ivana , Villanueva-Mascato Samanta , Mallo Irene , Vera-Muñoz Cecilia , Arredondo María Teresa , Fico Giuseppe 
Published: July 2020

Abstract
Purpose
Hospitalization at Home (HaH) has proven to be more efficient and effective than conventional one, but it also requires a higher number of resources and specialised personnel. Information technologies can make this process scalable and allow physicians and nurses to deliver remote healthcare services for patients hospitalized at home. However, a correct and satisfactory usage of technology requires an adequate training of professionals and patients. This paper describes a new model for training healthcare professionals on managing remote ICT-based services for Hospitalization at Home.

Methods
The model was defined based on mix-method that combined the PICO model and a User Centred Design methodology, oriented to identify and discover the healthcare professionals needs and the training instruments in the literature that directly involved these professionals. These aspects were used in the definition and development of the assessment framework of the proposed training model.

Results
A training model for healthcare professionals focused on achieving an effective uptake of complex digital interventions such as Hospitalization at Home was defined. The selected mix-method led to the identification of four different blocks, that were considered as the main areas to include in a training programme. The model identifies measurable elements for assessing acceptability, workability increment and integration into daily clinical practice outcomes, as well as for evaluating the proposed training content and its outcomes.

Conclusions
The proposed training model highlights the key aspects of training health professionals to favour an effective and successful implementation of complex technological healthcare interventions in the context of ICT-based HaH ICT.
How can experiments play a greater role in public policy? Three notions from behavioral psychology
Authors: McCONNELL SCOTT 
Published: July 2020

AbstractAl-Ubaydli et al. provide a far-reaching, insightful and directly actionable analysis of how social-behavioral research may exert more influence over the development and implementation of public policy. Their paper offers a sophisticated understanding of the ‘scale-up effect’, or factors that influence the extent to which positive experimental effects replicate as an intervention is implemented more broadly. Using economic principles, models and analyses, they offer 12 proposals for improving the process of scaling up effective and policy-relevant interventions. The current paper outlines how their proposals share a number of complementary features with behavioral psychology and applied behavior analysis. This response considers three possible points of intersection: (1) perspectives on the importance and challenges of studying and controlling our own behavior; (2) approaches to determining the social value of intervention outcomes and the procedures for achieving them; and (3) recommendations for deploying meaningful, common measures across phases of research.
Creeping Minimalism and Subject Matter
Authors: Simpson Matthew 
Published: July 2020

AbstractThe problem of creeping minimalism concerns how to tell the difference between metaethical expressivism and its rivals given contemporary expressivists’ acceptance of minimalism about truth and related concepts. Explanationism finds the difference in what expressivists use to explain why ethical language and thought has the content it does. I argue that two recent versions of explanationism are unsatisfactory and offer a third version, subject matter explanationism. This view, I argue, captures the advantages of previous views without their disadvantages and gives us a principled and general characterisation of non-representational views about all kinds of language and thought.
Decision Support Framework for Deployment of Emergency Medical Teams After Earthquakes
Authors: Bartolucci Andrea , Mackway-Jones Kevin , Redmond Anthony D. 
Published: July 2020

ABSTRACTObjective:The effectiveness of Emergency Medical Teams (EMTs) is strongly related to their time of arrival, and usually only few teams arrive within 24-48 h postdisaster. The decision to deploy and the scale of deployment rely heavily on context and nature of the event and consequently a rapid assessment of needs/gaps is critical to an appropriate and customized response.Methods:In this study, we describe a desk-based study that provides: (1) knowledge about the medical needs that can be anticipated according to the phases of the disaster that is not rich in literature; and (2) a decision support framework for the deployment of EMTs to earthquakes that combines the results of a literature research and a Delphi study involving the opinion of 12 experts in the field.Results:The resulting framework is a tool that will help better mapping the configuration to the needs on the ground at the time the team becomes operational in the field and will assist those responsible for deploying and/or accepting EMTs in making informed decisions on deployment after an earthquake.Conclusions:With additional research the framework approach may be adapted to other types of international relief such as to deploy a Search And Rescue (SAR) team.
Impact of the STAT1 N-terminal domain for fibrosarcoma cell responses to ɣ-irradiation
Authors: Göder Anja , Ginter Torsten , Kröhnert Ulrike , Kosan Christian , Krämer Oliver H. 
Published: July 2020

AbstractType I/II interferons (IFNα,β/IFNɣ) are cytokines that activate signal-transducer-and-activator-of-transcription-1 (STAT1). The STAT1 N-terminal domain (NTD) mediates dimerization and cooperative DNA-binding. The STAT1 DNA-binding domain (DBD) confers sequence-specific DNA-recognition. STAT1 has been connected to growth inhibition, replication stress and DNA-damage. We investigated how STAT1 and NTD/DBD mutants thereof affect fibrosarcoma cells. STAT1 and indicated mutants do not affect proliferation of resting and IFNα-treated cells as well as checkpoint kinase signaling, and phosphorylation of the tumor-suppressive transcription factor p53 ensuing ɣ-irradiation. Of the STAT1 reconstituted U3A cells those with STAT1 NTD mutants accumulate the highest levels of the replication stress/DNA-damage marker S139-phosphorylated histone H2AX (ɣH2AX). This is similarly seen with a STAT1 NTD/DBD double mutant, indicating transcription-independent effects. Furthermore, U3A cells with STAT1 NTD mutants are most susceptible to apoptotic DNA fragmentation and cleavage of the DNA repair protein PARP1. These data provide novel insights into the relevance of the STAT1 NTD.
Evaluating the potential of different carbon sources to promote denitrification
Authors: Dlamini J. C. , Chadwick D. , Hawkins J. M. B. , Martinez J. , Scholefield D. , Ma Y. , Cárdenas L. M. 
Published: July 2020

AbstractOrganic carbon (C) plays an essential role in the denitrification process as it supplies energy for N2O, N2 and CO2 producing reactions. The objectives of this study were to: (i) rank the reactivity of different C compounds found in manures based on their availability for denitrification and (ii) explore C-quality in different C sources based on their capacity to promote denitrification. Evaluation of different C-sources in promoting denitrification was conducted based on the molar ratio of CO2 production to NO3− reduction after incubation. Results of the first experiment (a 12-day investigation) showed that glucose and glucosamine were highly reactive C compounds with all applied NO3− being exhausted by day 3, and glucosamine had significantly high amount of NH4+-N present at end of the experiment. The glucose and glucosamine treatments resulted in significantly greater cumulative CO2 production, compared to the other treatments. In the second experiment (a 9-day investigation), all NO3− had been depleted by day 6 and 9 from acetic acid and glucose, respectively, and the greatest cumulative CO2 production was from acetic acid. The CO2 appearance to NO3− molar ratios revealed that glucose and glucosamine were compounds with highly available C in the first experiment. In the second experiment, the pig slurry and acetic acid were found to be C-sources that promoted potential denitrification. The application of slurry to soil results in the promotion of denitrification and this depends on the availability of the C compounds it contains. Understanding the relationship between C availability and denitrification potential is useful for developing denitrification mitigation strategies for organic soil amendments.
The Levelling-Down Objection and the additive measure of the badness of inequality
Authors: Gustafsson Johan E. 
Published: July 2020

AbstractThe Levelling-Down Objection is a standard objection to monistic egalitarian theories where equality is the only thing that has intrinsic value. Most egalitarians, however, are value pluralists; they hold that, in addition to equality being intrinsically valuable, the egalitarian currency in which we are equal or unequal is also intrinsically valuable. In this paper, I argue that the Levelling-Down Objection still minimizes the weight that the intrinsic badness of inequality could have in the overall intrinsic evaluation of outcomes, given a certain way of measuring the badness of inequality, namely, the Additive Individual-Complaints Measure.
Adjunctive treatment with psychostimulants and stimulant-like drugs for resistant bipolar depression: a systematic review and meta-analysis
Authors: Tsapakis Evangelia Maria , Preti Antonio , Mintzas Michael D. , Fountoulakis Konstantinos N. 
Published: July 2020

AbstractBackgroundDepression is considered to be the most difficult to treat phase of bipolar disorder as patients experience residual symptoms causing long-term disability. This work aims to explore the role of add-on stimulant and stimulant-like medication in resistant bipolar depression patients.MethodsSystematic review of add-on stimulants and stimulant-like drugs in resistant bipolar depression by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analysis was performed using the random-effects models. Heterogeneity was evaluated with Cochran’s Q and I2 statistics.ResultsSix randomized controlled trials of add-on modafinil, armodafinil, and lisdexamphetamine (LDX) (n = 813) vs placebo (n = 815) in the treatment of resistant bipolar depression were included. These drugs were more likely to induce remission from an episode of resistant bipolar depression (relative risk [RR] = 1.37; 95% confidence interval [CI]: 1.06-1.77; number needed to treat for an additional beneficial outcome = 16). Moreover, they did not induce more dropouts than placebo (RR = 1.04; 95% CI: 0.91-1.18), nor did they increase the risk of adverse effects (53/772 vs 41/771) at the end of treatment (RR = 1.30; 95% CI: 0.81-2.10; number needed to treat for an additional harmful outcome = 62). Suicidality and manic switch were not affected by active treatment. Heterogeneity was low (Cochran’s Q: P > .05), but sometimes with a large CI.ConclusionsLDX, modafinil, and armodafinil seem to offer a reasonably well-tolerated and safe treatment in resistant bipolar depression. Treatment guidelines should, therefore, be revised to include these medications earlier in the therapeutic algorithm for resistant acute bipolar depression. Further research is, however, necessary for the elucidation of the clinical usefulness of these and other similar compounds.
The Neurological Predictor Scale Predicts Adaptive Functioning via Executive Dysfunction in Young Adult Survivors of Childhood Brain Tumor
Authors: Kautiainen Rella J. , Fox Michelle E. , King Tricia Z. 
Published: July 2020

AbstractObjectives:Survivors of childhood brain tumors experience neurological sequelae that disrupt everyday adaptive functioning (AF) skills. The Neurological Predictor Scale (NPS), a cumulative measure of tumor treatments and sequelae, predicts cognitive outcomes, but findings on its relation to informant-reported executive dysfunction (ED) and AF are mixed. Given known effects of frontal-subcortical system disruptions on AF, this study assessed the NPS’ relationship with AF as mediated by frontal systems dysfunction, measured by the Frontal Systems Behavior Scale (FrSBe).Methods:75 participants (Mage = 23.5, SDage = 4.5) were young adult survivors of childhood brain tumors at least 5 years past diagnosis. FrSBe and Scales of Independent Behavior-Revised (SIB-R), a measure of AF, were administered to informants. Parallel multiple mediator models included Apathy and ED as mediators, and age at diagnosis and time between diagnosis and assessment as covariates.Results:More complex treatment and sequelae were correlated with poorer functioning. Mediation models were significant for all subscales: Motor Skills (MS), p = .0001; Social Communication (SC), p = .002; Personal Living (PL), p = .004; Community Living (CL), p = .007. The indirect effect of ED on SC and CL was significant; the indirect effect of Apathy was not significant for any subscales.Conclusions:More complex tumor treatment and sequelae were associated with poorer long-term AF via increased ED. Cognitive rehabilitation programs may focus on the role of executive function and initiation that contribute to AF, particularly SC and CL skills, to help survivors achieve comparable levels of independence in everyday function as their peers.