bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient local locking for massively multithreaded in-memory hash-based operators
Authors: Romanous Bashar , Windh Skyler , Absalyamov Ildar , Budhkar Prerna , Halstead Robert , Najjar Walid , Tsotras Vassilis 
Published: February 2021

AbstractThe join and group-by aggregation are two memory intensive operators that are affecting the performance of relational databases. Hashing is a common approach used to implement both operators. Recent paradigm shifts in multi-core processor architectures have reinvigorated research into how the join and group-by aggregation operators can leverage these advances. However, the poor spatial locality of the hashing approach has hindered performance on multi-core processor architectures which rely on using large cache hierarchies for latency mitigation. Multithreaded architectures can better cope with poor spatial locality by masking memory latency with many outstanding requests. Nevertheless, the number of parallel threads, even in the most advanced multithreaded processors, such as UltraSPARC, is not enough to fully cover the main memory access latency. In this paper, we explore the hardware re-configurability of FPGAs to enable deeper execution pipelines that maintain hundreds (instead of tens) of outstanding memory requests across four FPGAs-drastically increasing concurrency and throughput. We present two end-to-end in-memory accelerators for the join and group-by aggregation operators using FPGAs. Both accelerators use massive multithreading to mask long memory delays of traversing linked-list data structures, while concurrently managing hundreds of thread states across four FPGAs locally. We explore how content addressable memories can be intermixed within our multithreaded designs to act as a synchronizing cache, which enforces locks and merges jobs together before they are written to memory. Throughput results for our hash-join operator accelerator show a speedup between 2$$\times $$
×
and 3.4$$\times $$
×
over the best multi-core approaches with comparable memory bandwidths on uniform and skewed datasets. The accelerator for the hash-based group-by aggregation operator demonstrates that leveraging CAMs achieves average speedup of 3.3$$\times $$
×
with a best case of 9.4$$\times $$
×
in terms of throughput over CPU implementations across five types of data distributions.
Outbreak of Central American born Shigella sonnei in two youth camps in Belgium in the summer of 2019
Authors: Van den Bossche An , Ceyssens Pieter-Jan , Denayer Sarah , Hammami Naïma , van den Beld Maaike , Dallman Timothy J. , Mattheus Wesley 
Published: February 2021

AbstractIn 2019, an outbreak of Shigella sonnei occurred during two youth camps in Belgium. The clustering of isolates from both camps was confirmed by next-generation sequencing, as well as a secondary infection of a technician. The outbreak strain clustered with internationally isolated strains from patients with recent travel history to Central America. This report exemplifies enhanced surveillance and international collaboration between public health institutes by enabling to link local outbreaks to region-specific sublineages circulating abroad.
A conformal Yamabe problem with potential on the Euclidean space
Authors: Catino Giovanni , Gazzola Filippo , Mastrolia Paolo 
Published: February 2021

AbstractWe consider, in the Euclidean setting, a conformal Yamabe-type equation related to a potential generalization of the classical constant scalar curvature problem and which naturally arises in the study of Ricci solitons structures. We prove existence and nonexistence results, focusing on the radial case, under some general hypothesis on the potential.
Single-molecule observation of diffusion and catalysis in nanoporous solids
Authors: Maris J. J. Erik , Fu Donglong , Meirer Florian , Weckhuysen Bert M. 
Published: February 2021

AbstractNanoporous solids, including microporous, mesoporous and hierarchically structured porous materials, are of scientific and technological interest because of their high surface-to-volume ratio and ability to impose shape- and size-selectivity on molecules diffusing through them. Enormous efforts have been put in the mechanistic understanding of diffusion–reaction relationships of nanoporous solids, with the ultimate goal of developing materials with improved catalytic performance. Single-molecule localization microscopy can be used to explore the pore space via the trajectories of individual molecules. This ensemble-free perspective directly reveals heterogeneities in diffusion and diffusion-related reactivity of individual molecules, which would have been obscured in bulk measurements. In this article, we review developments in the spatial and temporal characterization of nanoporous solids using single-molecule localization microscopy. We illustrate various aspects of this approach, and showcase how it can be used to follow molecular diffusion and reaction behaviors in nanoporous solids.
Inventory decision in a periodic review inventory model with two complementary products
Authors: Poormoaied Saeed 
Published: February 2021

AbstractInteraction effect across complementary products plays an important role in characterizing the optimal inventory policy. The inventory levels of complementary products are interrelated due to interaction between demand streams. In this paper, we consider a periodic review base-stock policy in the presence of two complementary products with interrelated demands and joint replenishment. Demands are modeled by a Poisson process and any unmet demand is lost. Demands can be in sets of one unit of each or jointly. If an arrival demand requests two products jointly and one of the products is not in stock, then the whole demand is lost. We aim to investigate how this interrelated demand phenomenon influences the optimal base-stock levels and the period length of a periodic review policy. We utilize the renewal reward theorem to derive the explicit expression of the expected profit rate in the system. The goal is to determine the optimal period length and the base-stock levels such that the expected profit rate is maximized. Enumeration and approximation algorithms are employed to find the optimal and near-optimal solutions, respectively. The approximation algorithm is based on a scenario with independent demand processes which results in an explicit expression for the long-run profit per time unit and leads to analytical solutions for optimal policies. Our numerical results reveal that the solutions obtained by the approximation algorithm are close to optimal solutions. Numerical experiences show that the maximum profit in the system is achieved if the proportion of customers with jointly demand increases. Moreover, the interaction effect between demand processes has a significant impact on the control policy performance when the units lost sales and unit holding costs are high, and the demand rare is low.
Evolutionary biology meets consciousness: essay review of Simona Ginsburg and Eva Jablonka’s The Evolution of the Sensitive Soul
Authors: Browning Heather , Veit Walter 
Published: February 2021

AbstractIn this essay, we discuss Simona Ginsburg and Eva Jablonka’s The Evolution of the Sensitive Soul from an interdisciplinary perspective. Constituting perhaps the longest treatise on the evolution of consciousness, Ginsburg and Jablonka unite their expertise in neuroscience and biology to develop a beautifully Darwinian account of the dawning of subjective experience. Though it would be impossible to cover all its content in a short book review, here we provide a critical evaluation of their two key ideas—the role of Unlimited Associative Learning in the evolution of, and detection of, consciousness and a metaphysical claim about consciousness as a mode of being—in a manner that will hopefully overcome some of the initial resistance of potential readers to tackle a book of this length.
Analysis of the Influence of the Length Scales in a Boundary-Layer Model
Authors: Ferrero Enrico , Canonico Massimo 
Published: February 2021

AbstractWe consider the Janjic (NCEP Office Note 437:61, 2001) boundary-layer model, which is one of the most widely used in numerical weather prediction models. This boundary-layer model is based on a number of length scales that are, in turn, obtained from a master length multiplied by constants. We analyze the simulation results obtained using different sets of constants with respect to measurements using sonic anemometers, and interpret these results in terms of the turbulence processes in the atmosphere and of the role played by the different length scales. The simulations are run on a virtual machine on the Chameleon cloud for low-wind-speed, unstable, and stable conditions.
Public preferences for heritage conservation strategies: a choice modelling approach
Authors: Throsby David , Zednik Anita , Araña Jorge E. 
Published: February 2021

AbstractStudies aiming at valuing cultural and natural heritage projects are often focussed on one or only a few sites, whereas planning decisions concerning the allocation of public funds to heritage conservation deal with classes of heritage rather than single sites. In addition, such planning decisions are almost always concerned with non-monetary values that need to be incorporated into assessment procedures if the total value of alternative strategies is to be estimated. In this paper, we put forward and estimate models to address both of these issues within a choice-modelling framework. The method is developed in the context of conservation of a particular class of cultural heritage, namely major historic buildings in a city or country. We report results from a discrete choice experiment to assess public preferences in which the choices are alternative conservation programs and the attributes are dimensions of the programs’ cultural and economic value. The model is estimated from survey data using several flexible econometric specifications. We show that the methods developed can be used to obtain robust estimates of the economic value of this category of buildings. We also find a significant contribution of all aspects of cultural value to the formation of conservation preferences and the public’s willingness to pay.
Computational and experimental designing of imprinted sorbent for the determination of nitroxidative stress products: an analysis of 4-hydroxyphenylacetic acid conversion
Authors: Janczura Marta , Sobiech Monika , Giebułtowicz Joanna , Luliński Piotr 
Published: February 2021

AbstractIt this paper, the comprehensive design process was carried out to fabricate selective, molecularly imprinted polymer (MIP). The material was used as a sorbent in the optimized analytical method, aimed at verifying the hypothesis that the conditions of an analytical process could convert 4-hydroxyphenylacetic acid to 4-hydro-3-nitrophenylacetic acid, comprising a series of novel studies. The design stage consisted of the analysis of specificity of the MIP, synthesized from the cross-linker and used five various functional monomers independently, in the presence of four different templates. The MIP from 1-vinylimidazole, imprinted by 4-hydroxyphenylacetic acid, revealed the highest specificity in relation to 4-hydro-3-nitrophenylacetic acid, with an affinity factor equal to 3, and the highest selectivity from a group of structurally similar and biologically important biomolecules. The theoretical analysis revealed that electrostatic interaction between the analyte and the polymer matrix enhanced selectivity. The physicochemical characterization showed the specific surface area of the MIP as being equal to 368.6 m2 g−1, and the presence of nitrogen atoms at the level of 6.80% wt., confirming the monomer residue in the material structure. The MIP was applied in the solid phase extraction protocol, allowing for the analysis of 4-hydroxy-3-nitrophenylacetic acid in a human urine sample. Finally, the conversion of 4-hydroxyphenylacetic acid in human urine in nitrate and nitrite salts at low pH conditions revealed an almost twofold increase in 4-hydro-3-nitrophenylacetic acid to 775 ± 81 ng L−1. The results also confirmed the applicability of the new MIP sorbent for the purpose of analysis of low levels of analyte, present in the complex sample.
Uncovering today’s rationalistic attunement
Authors: Schuetze Paul , von Maur Imke 
Published: February 2021

AbstractIn this paper, we explore a rationalistic orientation in Western society. We suggest that this orientation is one of the predominant ways in which Western society tends to frame, understand and deal with a majority of problems and questions – namely in terms of mathematical analysis, calculation and quantification, relying on logic, numbers, and statistics. Our main goal in this paper is to uncover the affective structure of this rationalistic orientation. In doing so, we illustrate how this orientation structures the way not only individuals but society as a whole frames and solves problems. We firstly point towards some exemplary instances of the rationalistic orientation, specifically regarding science, society, and lifeworld practice. Crucially, we argue that the rationalistic orientation is not merely based on a set of beliefs we could easily correct; but rather, that it is an affective condition tacitly shaping our engagement with the world in an encompassing way. Relating to the work of Martin Heidegger, we argue that what we have called an orientation in the beginning is in fact a rationalistic attunement. This attunement fundamentally shapes the pre-reflective level of how individuals approach the world. We elaborate this claim by showing how the rationalistic attunement concretely manifests in tangible socio-material affect dynamics. In the end, we motivate a critical stance towards this attunement, providing the ability to reflect upon and question instances where this way of framing and solving problems is counterproductive.
Use of the Long-Term Conditions Questionnaire (LTCQ) for monitoring health-related quality of life in people affected by cognitive impairment including dementia: pilot study in UK memory clinic services
Authors: Potter Caroline M. , Peters Michele , Cundell Maureen , McShane Rupert , Fitzpatrick Ray 
Published: February 2021

Abstract
Purpose
The aim of this study was to validate the Long-Term Conditions Questionnaire (LTCQ) among patients using memory clinic services in England. LTCQ is a short self-administered measure of ‘living well with long-term conditions’ that has not been previously tested in patients with cognitive impairment.

Methods
The mixed-methods study included cognitive interviews to test the comprehensibility and content validity of LTCQ from the patient’s perspective, followed by a pilot survey to test the measure’s internal consistency, construct validity, structural validity, and responsiveness. Participants were recruited through memory clinics following a diagnosis of mild cognitive impairment or dementia.

Results
Interview respondents (n = 12) all found LTCQ’s content relevant, with only minor formatting modifications required. Among survey respondents (n = 105), most patients (86%) were able to self-report answers to LTCQ. High multimorbidity among the sample was associated with reduced LTCQ and EQ-5D scores. Internal consistency of LTCQ was high (Cronbach’s α = 0.93), no floor or ceiling effects were observed, and missing data levels were low. Factor analysis results further supported LTCQ’s structural validity, and predicted positive correlation with EQ-5D indicated construct validity. Score changes observed in a four-month follow-up survey (n = 61) are suggestive of LTCQ’s responsiveness.

Conclusion
LTCQ is a valid means of assessing health-related quality of life for people living with cognitive impairment (including dementia) in the early period of support following diagnosis. Owing to high levels of multimorbidity in this patient population, LTCQ offers an advantage over dementia-specific measures in capturing the cumulative impact of all LTCs experienced by the patient.
The longitudinal relationship between early inhibitory control skills and emergent literacy in preschool children
Authors: Gandolfi Elena , Traverso Laura , Zanobini Mirella , Usai Maria Carmen , Viterbori Paola 
Published: February 2021

AbstractThis study analyses the longitudinal relationship between early inhibitory control skills and subsequent emergent literacy. At Time 1, a sample of 50 typically monolingual Italian toddlers aged 28 to 36 months in their last year of day-care was assessed on expressive vocabulary and two inhibitory control measures, tapping specifically response inhibition and interference suppression. At Time 2, during the preschool years, children aged 49 to 72 months were re-assessed on a battery of emergent literacy tasks including three phonological awareness tasks and an orthographic knowledge task. The results of the hierarchical linear regression analyses suggest that interference suppression evaluated at Time 1 is a key process in the acquisition and construction of both phonological awareness and early orthographic knowledge, even when children’s early expressive vocabulary was included in the analyses. Unlike previous studies, the present study included very young children, thus allowing us to explore the developmental antecedents of two important precursors of reading and writing abilities.
Exploring the Discursive Construction of Obedience: An Analysis of Application Letters for the Position of Executioner in Hitler’s Germany
Authors: Leisser Daniel , Bray Katie , Hernández Anaruth , Nasr Doha 
Published: February 2021

AbstractThis article presents an empirical investigation into the construction of obedience in letters of applications mailed to National Socialist authorities for the position of executioner between the years 1933 and 1945. To this end, a corpus of 178 letters of application was compiled, annotated, and analyzed using the corpus analysis toolkits Antconc and Lancsbox. A quantitative and qualitative analysis of the corpus was conducted. The findings were related to and interpreted from the perspectives of applied legal linguistics, stylistics, and legal history. The project aims to explore the construction of a shared discourse of obedience and how this discourse is operative in the letters of application. Drawing on an explorative interdisciplinary framework, this project seeks to answer the following research questions: Is obedience a construct in applicants’ letters of motivation? Which linguistic devices and discursive strategies are used by the executioners to express submission to officials of the National Socialist state? Are there variants of the construction of submission by applicants?
The Concept of “Person” in the Italian Legislation on Informed Consent and Advance Healthcare Directives
Authors: Cresti Matteo 
Published: February 2021

AbstractThe aim of the paper is that of investigating the concept of “person” in the context of Italian law on informed consent and advance healthcare directives (law n. 219/2017). The following paper will first consider the importance of the concept of “person” within bioethics; secondly it will exhibit how there are different levels of bioethics, and that on the discussion level of laws and regulations, concepts worthy of metaphysical and value references cannot be used, because they must be shared by everyone in a pluralistic society. I’ll then move on to discuss the law on informed consent and advance healthcare directives; first I’ll discuss the references to the Italian Constitution, showing that the implied concept of “person” is closely linked to the concepts of “equality” and “autonomy”, and finally I’ll discuss the particular case of minors and the protection that the law provides them.
Structure Sensitivity and Hydration Effects in Pt/TiO2 and Pt/TiO2–SiO2 Catalysts for NO and Propane Oxidation
Authors: Viéitez-Calo Sara , Morgan David J. , Golunski Stan , Taylor Stuart H. , Twigg Martyn V. 
Published: February 2021

AbstractThe NO and propane oxidation activities of a series of 1%Pt/TiO2–SiO2 catalysts show different underlying trends as the support composition changes. Surface characterisation of the catalysts indicates that the trend for NO conversion is consistent with the oxidation rate being dependent on the degree of metallic character of the Pt nanoparticles, rather than their morphology. Although a similar correlation is expected for the total oxidation of propane, it is masked by the effects of adventitious ions originating during manufacture of the support materials. When residual chloride is present in the support, most of the exposed Pt is stabilised in its low-activity ionic form; while support materials containing W or oxidised-S ions give rise to catalysts with much higher activity than expected from their measured Pt0 content. When a Cl-containing, but SiO2-free, TiO2 support material is pre-treated hydrothermally, the propane-oxidation activity of the resultant Pt/TiO2 catalyst is substantially improved, so that it matches the performance of highly-metallic Pt supported on TiO2 containing 16 wt% SiO2. The hydrothermal pre-treatment removes residual chloride from the support material, but it also leaves the catalyst in a hydrated state. We show that, by controlling the metallic content of Pt nanoparticles, understanding the promoting and inhibiting effects of adventitious ions, and optimising the degree of catalyst hydration, the activity of 1%Pt/TiO2–SiO2 catalysts can be made to exceed that of a benchmark 2%Pt/γ-Al2O3 formulation for both NO and propane oxidation.
Nano-Sensor Modelling for Intra-Body Nano-Networks
Authors: Akkaş Mustafa Alper 
Published: February 2021

AbstractIn this work, the author has evaluated the propagation of electromagnetic waves inside the human tissue such as blood, skin and fat for single-path and multi-path layers according to nano sensor transmit power calculations. In particular, the propagation characteristics of the Intra-Body Nano-Network communication channel are calculated using a theoretical approach. The analysis in this paper provides an evaluation related to the path loss, bit error rate, signal to noise ratio and the channel capacity. The model is evaluated for each single-path effect and multi-path effect. The effects of human tissue for each blood, skin and fat for single-path effect and multi-path are included in the analysis. The model frequency range is chosen from 0.01 to 1.5 THz frequencies, which are ideal for designing nano sensors antennae and using THz range for communication. This paper will also guide other researchers who are working on the electromagnetic radiation performance of Intra-Body Nano-Network and Nano sensors designed at the THz range.
A DNA sensor based on upconversion nanoparticles and two-dimensional dichalcogenide materials
Authors: Alexaki Konstantina , Giust Davide , Kyriazi Maria-Eleni , El-Sagheer Afaf H. , Brown Tom , Muskens Otto L. , Kanaras Antonios G. 
Published: February 2021

AbstractWe demonstrate the fabrication of a new DNA sensor that is based on the optical interactions occurring between oligonucleotide-coated NaYF4:Yb3+;Er3+ upconversion nanoparticles and the two-dimensional dichalcogenide materials, MoS2 and WS2. Monodisperse upconversion nanoparticles were functionalized with single-stranded DNA endowing the nanoparticles with the ability to interact with the surface of the two-dimensional materials via van der Waals interactions leading to subsequent quenching of the upconversion fluorescence. By contrast, in the presence of a complementary oligonucleotide target and the formation of double-stranded DNA, the upconversion nanoparticles could not interact with MoS2 and WS2, thus retaining their inherent fluorescence properties. Utilizing this sensor we were able to detect target oligonucleotides with high sensitivity and specificity whilst reaching a concentration detection limit as low as 5 mol·L−1, within minutes.