bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Advances in Stereocontrolled Mannosylation: Focus on Glycans Comprising Acidic and/or Amino Sugars
Authors: Alex Catherine , Demchenko Alexei V.
Published: October 2021

The main focus of this review is to describe accomplishments made in the stereoselective synthesis of β‐linked mannosides functionalized with carboxyls or amines/amides. These ManNAc, ManA and ManNAcA residues found in many glycoconjugates, bacterial polysaccharides, and alginates have consistently captured interest of the glycoscience community both due to synthetic challenge and therapeutic potential.
A Perspective Review on the Application of Polyacrylonitrile‐Based Supports for Laccase Immobilization
Authors: Vieira Yago Araujo , Gurgel Danyelle , Henriques Rosana Oliveira , Machado Ricardo Antonio Francisco , de Oliveira Débora , Oechsler Bruno Francisco , Furigo Junior Agenor
Published: October 2021

The use of laccases applied in bioremediation processes has been increasingly studied, given the urgent need to overcome the environmental problems caused by emerging contaminants. It is known that immobilized enzymes have better operational stability under reaction conditions, allowing for greater applicability. However, given the lack of commercially available immobilized laccases, the search for immobilization materials and methods continues to gain effort. The use of polyacrylonitrile (PAN) to immobilize enzymes has been investigated since it is a low‐cost material and can be modified and functionalized to well interact with the enzyme. This polymer can be used with different morphologies such as fibers, beads, and core‐shell, presenting as an easily applicable alternative. This review presents the missing link between polymer and enzyme through an overview of PAN′s current use as support for laccase immobilization and polymer functionalization methods, considering the importance of immobilized laccases in several industrial sectors.
Radial Force and Vibration Analysis of Modular Fault‐Tolerant Permanent Magnet Motor with Unequal Span Windings
Authors: Gan Baoping , Zhang Bingyi , Liu Yunfei , Feng Guihong
Published: October 2021

The low‐speed and high‐torque modular fault‐tolerant permanent magnet motor has the strong fault‐tolerant ability, and can make the motor output torque act on the load directly, and the system has the highest transmission efficiency, which is especially suitable for ship propulsion. In the electric ship direct‐drive propulsion system, the motor is the core of the power system. Because the motor is directly connected with the load, the intermediate buffer mechanism is canceled, so the smooth operation of the motor is put forward to higher requirements. Especially in some fault‐tolerant operations, the unbalanced radial force generated by the asymmetric operation may cause the motor to vibrate greatly, which will reduce the operational life of the motor and even bring new faults. In serious cases, the whole transmission system will be damaged. Therefore, it is necessary to study the vibration of the fault‐tolerant motor under different operating conditions. In this paper, the module combined stator fault‐tolerant permanent magnetic synchronous motor for ship direct‐drive propulsion is taken as the research object. Based on the Maxwell tensor method, the radial force wave expressions of the motor during regular operation and fault‐tolerant operation are derived, and the harmonic order and frequency, which have a significant influence on vibration are summarized. The radial force of the motor under different operating conditions with different control strategies is calculated by the finite element method, and the harmonic components are analyzed by the two‐dimensional Fourier transform. On this basis, the vibration of the motor and the mechanical strength of the rotor support frame are analyzed. The research results of this paper provide some reference for the subsequent vibration reduction strategies of fault‐tolerant motors. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Mixing memory and desire: How memory reactivation supports deliberative decision‐making
Authors: Wang Shaoming , Feng Samuel F. , Bornstein Aaron M.
Published: October 2021

Memories affect nearly every aspect of our mental life. They allow us to both resolve uncertainty in the present and to construct plans for the future. Recently, renewed interest in the role memory plays in adaptive behavior has led to new theoretical advances and empirical observations. We review key findings, with particular emphasis on how the retrieval of many kinds of memories affects deliberative action selection. These results are interpreted in a sequential inference framework, in which reinstatements from memory serve as “samples” of potential action outcomes. The resulting model suggests a central role for the dynamics of memory reactivation in determining the influence of different kinds of memory in decisions. We propose that representation‐specific dynamics can implement a bottom‐up “product of experts” rule that integrates multiple sets of action‐outcome predictions weighted based on their uncertainty. We close by reviewing related findings and identifying areas for further research.

This article is categorized under:

Psychology > Reasoning and Decision Making

Neuroscience > Cognition

Neuroscience > Computation
A historical overview of institutional types
Authors: Smist Jennifer A.
Published: October 2021

This article examines higher education as a vehicle for leadership development and discusses the historical evolution of different institutional types. Through the lens of access and equity, the traditional leadership narrative can expand to critically examine how these different institutional types advance racial equity in leadership education.
Period Estimation and Rhythm Detection in Timeseries Data Using BioDare2, the Free, Online, Community Resource
Authors: Zieliński Tomasz , Hay Johnny , Millar Andrew J.
Published: October 2021

One of the key objectives of data analysis in circadian research is to quantify the rhythmic properties of the experimental data. BioDare2 is a free, online service which provides fast timeseries analysis, attractive visualizations, and data sharing. This chapter outlines the description of an experiment for BioDare2 and how to upload and analyze the numerical timeseries data.
Moduli space holography and the finiteness of flux vacua
Authors: Grimm Thomas W.
Published: October 2021

Abstract

A holographic perspective to study and characterize field spaces that arise in string compactifications is suggested. A concrete correspondence is developed by studying two-dimensional moduli spaces in supersymmetric string compactifications. It is proposed that there exist theories on the boundaries of each moduli space, whose crucial data are given by a Hilbert space, an Sl(2, ℂ)-algebra, and two special operators. This boundary data is motivated by asymptotic Hodge theory and the fact that the physical metric on the moduli space of Calabi-Yau manifolds asymptotes near any infinite distance boundary to a Poincaré metric with Sl(2, ℝ) isometry. The crucial part of the bulk theory on the moduli space is a sigma model for group-valued matter fields. It is discussed how this might be coupled to a two-dimensional gravity theory. The classical bulk-boundary matching is then given by the proof of the famous Sl(2) orbit theorem of Hodge theory, which is reformulated in a more physical language. Applying this correspondence to the flux landscape in Calabi-Yau fourfold compactifications it is shown that there are no infinite tails of self-dual flux vacua near any co-dimension one boundary. This finiteness result is a consequence of the constraints on the near boundary expansion of the bulk solutions that match to the boundary data. It is also pointed out that there is a striking connection of the finiteness result for supersymmetric flux vacua and the Hodge conjecture.
A Young diagram expansion of the hexagonal Wilson loop (amplitude) in $$ \mathcal{N} $$ = 4 SYM
Authors: Fioravanti Davide , Poghosyan Hasmik , Poghossian Rubik
Published: October 2021

Abstract

We shall interpret the null hexagonal Wilson loop (or, equivalently, six gluon scattering amplitude) in 4D $$ \mathcal{N} $$
N
= 4 Super Yang-Mills, or, precisely, an integral representation of its matrix part, via an ADHM-like instanton construction. In this way, we can apply localisation techniques to obtain combinatorial expressions in terms of Young diagrams. Then, we use our general formula to obtain explicit expressions in several explicit cases. In particular, we discuss those already available in the literature and find exact agreement. Moreover, we are capable to determine explicitly the denominator (poles) of the matrix part, and find some interesting recursion properties for the residues, as well.
Probing extended scalar sectors with precision e+e− → Zh and Higgs diphoton studies
Authors: Ramsey-Musolf Michael J. , Yu Jiang-Hao , Zhou Jia
Published: October 2021

Abstract

We compute the one-loop corrections to σ(e+e−→ Zh) arising from representative extended Standard Model scalar sector scenarios. According to the new scalar SU(2)L representations, we consider the inert doublet, real and complex triplet, quintuplet, and septuplet models. With the sub-percent level precision expected for prospective future e+e− collider measurements of σ(e+e−→ Zh), studies of the Higgsstrahlung process will probe extended scalar sector particle spectrum and interactions in a manner complementary to direct searches at the Large Hadron Collider and possible future pp colliders. We also compare with the sensitivity of future Higgs diphoton decay rate measurements. We find that the σ(e+e−→ Zh) and Γ(h → γγ) complementarity is particularly pronounced for the complex triplet model.
Gamma-ray line from electroweakly interacting non-abelian spin-1 dark matter
Authors: Abe Tomohiro , Fujiwara Motoko , Hisano Junji , Matsushita Kohei
Published: October 2021

Abstract

We study gamma-ray line signatures from electroweakly interacting non-abelian spin-1 dark matter (DM). In this model, Z2-odd spin-1 particles including a DM candidate have the SU(2)L triplet-like features, and the Sommerfeld enhancement is relevant in the annihilation processes. We derive the annihilation cross sections contributing to the photon emission and compare with the SU(2)L triplet fermions, such as Wino DM in the supersymmetric Standard Model. The Sommerfeld enhancement factor is approximately the same in both systems, while our spin-1 DM predicts the larger annihilation cross sections into γγ/Zγ modes than those of the Wino by $$ \frac{38}{9} $$

38
9

. This is because a spin-1 DM pair forms not only J = 0 but also J = 2 partial wave states where J denotes the total spin angular momentum. Our spin-1 DM also has a new annihilation mode into Z2-even extra heavy vector and photon, Z′γ. For this mode, the photon energy depends on the masses of DM and the heavy vector, and thus we have a chance to probe the mass spectrum. The latest gamma-ray line search in the Galactic Center region gives a strong constraint on our spin-1 DM. We can probe the DM mass for ≲ 25.3 TeV by the Cherenkov Telescope Array experiment even if we assume a conservative DM density profile.
Effect of continuous passive motion on the early recovery outcomes after total knee arthroplasty
Authors: Richter Magdalena , Trzeciak Tomasz , Kaczmarek Małgorzata
Published: October 2021

Introduction

Continuous passive motion (CPM) is a frequently used method in the early post-operative rehabilitation of patients after knee surgery. In this study, the effectiveness of the CPM method was evaluated after primary total knee arthroplasty during an early recovery period.

Methods

Eighty patients undergoing total knee arthroplasty were assigned into two groups. The experimental group received CPM and active exercises, while the control group active exercises only. All subjects were evaluated once before the surgery and at a discharge, in terms of mean active range of motion (AROM), mean Knee Society Score (KSS), and Western Ontario and MacMaster Universities Osteoarthritis Index (WOMAC).

Results

The mean AROM for the experimental group was 82.3° ± 14.3° and 76.1° ± 22.2° for the control. The mean KSS score was 136.4 ± 19.3 points for the experimental group, and 135.7 ± 15.1 for the control. There were no statistical differences between the two groups. The KSS functional score was 66.4 ± 8.1 points for the experimental group compared to 62.2 ± 7.3 points for the control, but there was a statistically significant difference between the groups at discharge from the hospital (p = 0.009). A subjective estimation of the pain level, joint stiffness and function also showed a statistically significant difference between the two groups (38.6 ± 14.3 points for the CPM group and 21.2 ± 15.7 for the control).

Conclusion

These findings show that there is no significant effect of CPM in terms of improving clinical measurements. However, there was a significant beneficial effect on the subjective assessment of pain level, joint stiffness, and functional ability.
Gastroschisis: A Successful, Prospectively Evaluated Treatment Model in a Middle‐Income Country
Authors: Escarcega‐Fujigaki Pastor , Hernandez‐Peredo‐Rezk Guillermo , Wright Naomi J. , Del Carmen Cardenas‐Paniagua Ahtziri , Velez‐Blanco Haydee , Gutierrez‐Canencia Celine , Saavedra‐Velez Lorenzo , Venegas‐Espinoza Berenice , Diaz‐Luna Jose Luis , Castro‐Ramirez Miguel
Published: October 2021

Background

This research adopted a care protocol from high‐income countries in a level II/III hospital in a middle‐income country to decrease morbidity and mortality associated with gastroschisis.

Methods

We established a multidisciplinary protocol to treat patients with gastroschisis prospectively from November 2012 to November 2018. This included prenatal diagnosis, presence of a neonatologist and pediatric surgeon at birth, and either performing primary closure on the patients with an Apgar score of 8/9, mild serositis, and no breathing difficulty or placing a preformed silo, when unable to fulfill these criteria, under sedation and analgesia (no intubation) in the operating room or at the patients’ bedside. The subsequent management took place in the neonatal intensive care unit. The data were analyzed through the Mann–Whitney and Student's t‐distribution for the two independent samples; the categorical variables were analyzed through a chi‐square distribution or Fisher's exact test.

Results

In total, 55 patients were included in the study: 33 patients (60%) were managed with a preformed silo, whereas 22 patients (40%) underwent primary closure. Prenatal diagnosis (P = 0.02), birth at the main hospital (P = 0.02), and the presence of a pediatric surgeon at birth (P = 0.04) were associated with successful primary closure. The primary closure group had fewer fasting days (P < 0.001) and a shorter neonatal intensive care unit length of stay (P = 0.025). The survival rate was 92.7% (51 patients).

Conclusion

The treatment model modified to fit the means of our hospital proved successful.
Incidence and Outcomes of Laryngeal Complications Following Adult Cardiac Surgery: A National Analysis
Authors: Verma Arjun , Hadaya Joseph , Tran Zachary , Dobaria Vishal , Madrigal Josef , Xia Yu , Sanaiha Yas , Mendelsohn Abie H. , Benharash Peyman
Published: October 2021

Laryngeal complications (LCs) following cardiac operations contribute to increased morbidity and resource utilization. Using a nationally representative cohort of cardiac surgical patients, we characterized the incidence of LC as well as its associated clinical and financial outcomes. All adults undergoing coronary artery bypass grafting and/or valvular operations were identified using the 2010–2017 Nationwide Readmissions Database. International Classification of Diseases 9th and 10th Revision diagnosis codes were used to identify LC. Trends were analyzed using a rank-based, non-parametric test (nptrend). Multivariable linear and logistic regressions were used to evaluate risk factors for LC, and its impact on mortality, complications, resource use and 30-day non-elective readmissions. Of an estimated 2,319,628 patients, 1.7% were diagnosed with perioperative LC, with rising incidence from 1.5% in 2010 to 1.8% in 2017 (nptrend < 0.001). After adjustment, female sex [adjusted odds ratio 1.08, 95% confidence interval (CI) 1.04–1.12], advancing age, and multi-valve procedures (1.51, 95% CI 1.36–1.67, reference: isolated CABG) were associated with increased odds of LC. Despite no risk-adjusted effect on mortality, LC was associated with increased odds of pneumonia (2.88, 95% CI 2.72–3.04), tracheostomy (4.84, 95% CI 4.44–5.26), and readmission (1.32, 95% CI 1.26–1.39). In addition, LC was associated with a 7.7-day increment (95% CI 7.4–8.0) in hospitalization duration and $24,200 (95% CI 23,000–25,400) in attributable costs. The present study found LC to be associated with increased perioperative sequelae and resource utilization. The development and application of active screening protocols for post-surgical LC are warranted to increase early detection and reduce associated morbidity.
A multi-objective supplier selection framework based on user-preferences
Authors: Toffano Federico , Garraffa Michele , Lin Yiqing , Prestwich Steven , Simonis Helmut , Wilson Nic
Published: October 2021

This paper introduces an interactive framework to guide decision-makers in a multi-criteria supplier selection process. State-of-the-art multi-criteria methods for supplier selection elicit the decision-maker’s preferences among the criteria by processing pre-collected data from different stakeholders. We propose a different approach where the preferences are elicited through an active learning loop. At each step, the framework optimally solves a combinatorial problem multiple times with different weights assigned to the objectives. Afterwards, a pair of solutions among those computed is selected using a particular query selection strategy, and the decision-maker expresses a preference between them. These two steps are repeated until a specific stopping criterion is satisfied. We also introduce two novel fast query selection strategies, and we compare them with a myopically optimal query selection strategy. Computational experiments on a large set of randomly generated instances are used to examine the performance of our query selection strategies, showing a better computation time and similar performance in terms of the number of queries taken to achieve convergence. Our experimental results also show the usability of the framework for real-world problems with respect to the execution time and the number of loops needed to achieve convergence.
The Role of Distorted Cognitions in Mediating Treatment Outcome in Children with Social Anxiety Disorder: A Preliminary Study
Authors: Mobach Lynn , Rapee Ronald M. , Klein Anke M.
Published: October 2021

This study examined whether distorted cognition changes during cognitive behavioural therapy (CBT) in children (N = 61; aged 7–12) with social anxiety disorder (SAD) and whether changes in distorted cognition from pre- to post-treatment predict SAD at 6-month follow-up. Baseline distorted cognition was also examined as a predictor of post-treatment outcome. Multiple informant SAD-measures were obtained pre-treatment, post-treatment and at 6-month follow-up. Children reported on interpretation bias and dysfunctional beliefs. A decrease in interpretation bias and dysfunctional beliefs was prospectively related to greater SAD change between post-treatment and 6-month follow-up. Child-reported SAD-change at post-treatment predicted greater change in dysfunctional beliefs at 6-month follow-up. Higher baseline interpretation bias predicted greater change in SAD-severity at post-treatment. Children with greater distorted cognition reductions during treatment, showed greater treatment gains at 6-month follow-up. Children who do not show this reduction may require additional efforts focused on distorted cognition to maximally benefit from treatment.
Uptake of potentially toxic elements by edible plants in experimental mining Technosols: preliminary assessment
Authors: Martínez-Sánchez María José , Pérez-Sirvent Carmen , Martínez-Lopez Salvadora , García-Lorenzo Mari Luz , Agudo Ines , Martínez-Martínez Lucia Belen , Hernández-Pérez Carmen , Bech Jaume
Published: October 2021

A study was carried out to evaluate the absorption of potentially toxic elements from mining Technosols by three types of vegetable plants (broccoli (Brassica oleracea var. italica), lettuce (Lactuca sativa) and onion (Allium cepa)), the different parts of which are intended for human and farm animal consumption (leaves, roots, edible parts). The preliminary results obtained highlight the importance of the design of the mining Technosols used for agricultural purposes, obtained from soils and sediments of mining origin and amended with residues of high calcium carbonate concentrations (limestone filler and construction and demolition wastes). The experiment was carried out in a greenhouse, and the total metal(loid)s concentration (As, Pb, Cd, Cu, Fe, Mn and Zn) of the soil, rhizosphere, aqueous leachates and plant samples was monitored, the translocation and bioconcentration factors (TF and BCF, respectively) being calculated. The characterization of the soils included a mobilization study in media simulating different environmental conditions that can affect these soils and predicting the differences in behavior of each Technosol. The results obtained showed that the levels of potentially toxic elements present in the cultivated species are within the range of values mentioned in the literature when they were cultivated in soils with calcareous amendments. However, when the plants were grown in contaminated soils, the potentially toxic elements levels varied greatly according to the species, being higher in onions than in lettuce. Experiments with the use of lime filler or construction and demolition wastes for soil remediation result in crops that, in principle, do not present health risks and are similar in development to those grown on non-contaminated soil.
Deep security analysis of program code
Authors: Sonnekalb Tim , Heinze Thomas S. , Mäder Patrick
Published: October 2021

Due to the continuous digitalization of our society, distributed and web-based applications become omnipresent and making them more secure gains paramount relevance. Deep learning (DL) and its representation learning approach are increasingly been proposed for program code analysis potentially providing a powerful means in making software systems less vulnerable. This systematic literature review (SLR) is aiming for a thorough analysis and comparison of 32 primary studies on DL-based vulnerability analysis of program code. We found a rich variety of proposed analysis approaches, code embeddings and network topologies. We discuss these techniques and alternatives in detail. By compiling commonalities and differences in the approaches, we identify the current state of research in this area and discuss future directions. We also provide an overview of publicly available datasets in order to foster a stronger benchmarking of approaches. This SLR provides an overview and starting point for researchers interested in deep vulnerability analysis on program code.
How Truth-Making Distributes
Authors: Stenwall Robin
Published: October 2021

In this paper I argue against the traditional view that truth-making distributes over entailment and present a novel account that takes truth-making to distribute over grounding between the existence of facts, thereby avoiding the shortcomings of the traditional view.
Quantifying the prevalence of (non)-response to fertilizers in sub-Saharan Africa using on-farm trial data
Authors: Nziguheba Generose , van Heerwaarden Joost , Vanlauwe Bernard
Published: October 2021

Poor and variable crop responses to fertilizer applications constitute a production risk and may pose a barrier to fertilizer adoption in sub-Saharan Africa (SSA). Attempts to measure response variability and quantify the prevalence of non-response empirically are complicated by the fact that data from on-farm fertilizer trials generally include diverse nutrients and do not include on-site replications. The first aspect limits the extent to which different studies can be combined and compared, while the second does not allow to distinguish actual field-level response variability from experimental error and other residual variations. In this study, we assembled datasets from 41 on-farm fertilizer response trials on cereals and legumes across 11 countries, representing different nutrient applications, to assess response variability and quantify the frequency of occurrence of non-response to fertilizers. Using two approaches to account for residual variation, we estimated non-response, defined here as a zero agronomic response to fertilizer in a given year, to be relatively rare, affecting 0–1 and 7–16% of fields on average for cereals and legumes respectively. The magnitude of response could not be explained by climatic and selected topsoil variables, suggesting that much of the observed variation may relate to unpredictable seasonal and/or local conditions. This implies that, despite demonstrable spatial bias in our sample of trials, the estimated proportion of non-response may be representative for other agro-ecologies across SSA. Under the latter assumption, we estimated that roughly 260,000 ha of cereals and 3,240,000 ha of legumes could be expected to be non-responsive in any particular year.
3D Numerical Simulations of Non-Volcanic CO2 Degassing in Active Fault Zones Based on Geophysical Surveys
Authors: Di Maio R. , Salone R. , De Paola C. , Piegari E. , Vitale S.
Published: October 2021

An integrated approach that combines geophysical surveys and numerical simulations is proposed to study the processes that govern the fluid flow along active fault zones. It is based on the reconstruction of the architecture of the investigated fault system, as well as the identification of possible paths for fluid migration, according to the distribution of geophysical parameters retrieved by multi-methodological geophysical prospecting. The aim is to establish, thanks to constraints deriving from different types of data (e.g., geological, geochemical and/or hydrogeological data), an accurate 3D petrophysical model of the survey area to be used for simulating, by numerical modelling, the physical processes likely taking place in the imaged system and its temporal evolution. The effectiveness of the proposed approach is tested in an active fault zone in the Matese Mts (southern Italy), where recent, accurate geochemical measurements have registered very high anomalous values of non-volcanic natural emissions of CO2. In particular, a multi-methodological geophysical survey, consisting of electrical resistivity tomography, self-potential and passive seismic measurements, integrated with geological data, was chosen to define the 3D petrophysical model of the investigated system and to identify possible source geometries. Three different scenarios were assumed corresponding to three different CO2 source models. The one that hypothesizes a source located along the fault plane at the depth of the carbonate basement was found to be the best candidate to represent the test site. Indeed, the performed numerical simulations provide CO2 flow estimates comparable with the values observed in the investigated area. These findings are promising for gas hazards, as they suggest that numerical simulations of different CO2 degassing scenarios could forecast possible critical variations in the amount of CO2 emitted near the fault.
An Atypical Autoinflammatory Disease Due to an LRR Domain NLRP3 Mutation Enhancing Binding to NEK7
Authors: Caseley Emily A. , Lara-Reyna Samuel , Poulter James A. , Topping Joanne , Carter Clive , Nadat Fatima , Spickett Gavin P. , Savic Sinisa , McDermott Michael F.
Published: October 2021

The NLRP3 inflammasome is a vital mediator of innate immune responses. There are numerous NLRP3 mutations that cause NLRP3-associated autoinflammatory diseases (NLRP3-AIDs), mostly in or around the NACHT domain. Here, we present a patient with a rare leucine-rich repeat (LRR) domain mutation, p.Arg920Gln (p.R920Q), associated with an atypical NLRP3-AID with recurrent episodes of sore throat and extensive oropharyngeal ulceration. Unlike previously reported patients, who responded well to anakinra, her oral ulcers did not significantly improve until the PDE4 inhibitor, apremilast, was added to her treatment regimen. Here, we show that this mutation enhances interactions between NLRP3 and its endogenous inhibitor, NIMA-related kinase 7 (NEK7), by affecting charge complementarity between the two proteins. We also demonstrate that additional inflammatory mediators, including the NF-кB and IL-17 signalling pathways and IL-8 chemokine, are upregulated in the patient’s macrophages and may be directly involved in disease pathogenesis. These results highlight the role of the NLRP3 LRR domain in NLRP3-AIDs and demonstrate that the p.R920Q mutation can cause diverse phenotypes between families.
Improving accountability in recommender systems research through reproducibility
Authors: Bellogín Alejandro , Said Alan
Published: October 2021

Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results. In this work, we argue that, by facilitating reproducibility of recommender systems experimentation, we indirectly address the issues of accountability and transparency in recommender systems research from the perspectives of practitioners, designers, and engineers aiming to assess the capabilities of published research works. These issues have become increasingly prevalent in recent literature. Reasons for this include societal movements around intelligent systems and artificial intelligence striving toward fair and objective use of human behavioral data (as in Machine Learning, Information Retrieval, or Human–Computer Interaction). Society has grown to expect explanations and transparency standards regarding the underlying algorithms making automated decisions for and around us. This work surveys existing definitions of these concepts and proposes a coherent terminology for recommender systems research, with the goal to connect reproducibility to accountability. We achieve this by introducing several guidelines and steps that lead to reproducible and, hence, accountable experimental workflows and research. We additionally analyze several instantiations of recommender system implementations available in the literature and discuss the extent to which they fit in the introduced framework. With this work, we aim to shed light on this important problem and facilitate progress in the field by increasing the accountability of research.
Kant's Mathematical World
Authors: Sutherland Daniel
Published: October 2021

Kant's Mathematical World aims to transform our understanding of Kant's philosophy of mathematics and his account of the mathematical character of the world. Daniel Sutherland reconstructs Kant's project of explaining both mathematical cognition and our cognition of the world in terms of our most basic cognitive capacities. He situates Kant in a long mathematical tradition with roots in Euclid's Elements, and thereby recovers the very different way of thinking about mathematics which existed prior to its 'arithmetization' in the nineteenth century. He shows that Kant thought of mathematics as a science of magnitudes and their measurement, and all objects of experience as extensive magnitudes whose real properties have intensive magnitudes, thus tying mathematics directly to the world. His book will appeal to anyone interested in Kant's critical philosophy -- either his account of the world of experience, or his philosophy of mathematics, or how the two inform each other.
Sensing in Social Interaction
Authors: Mondada Lorenza
Published: October 2021

This book offers a novel perspective on how people engage in sensing the materiality of the world as a way of social interaction. It proposes a conceptual and analytical advance in how to approach sensing as an intersubjective and interactional phenomenon within the framework of conversation analysis and ethnomethodology. Based on a uniquely rich set of video-recorded data, the author shows how people reacting to cheese in gourmet shops across Europe highlights the part the senses play in human behaviour and communication. The multimodal analysis of the case studies reveals the systematic features of looking, touching, smelling, and tasting in situated activities. By blending interdisciplinary research with real life, the volume puts together a theoretical and methodological framework for studying the embodied and linguistic dimensions of sensing in interaction.
The Cambridge Introduction to Mikhail Bakhtin
Authors: Hirschkop Ken
Published: October 2021

In this introduction to Mikhail Bakhtin, Ken Hirschkop presents a compact, readable, detailed, and sophisticated exposition of all of Bakhtin's important works. Using the most up-to-date sources and the new, scholarly editions of Bakhtin's texts, Hirschkop explains Bakhtin's influential ideas, demonstrates their relevance and usefulness for literary and cultural analysis, and sets them in their historical context. In clear and concise language, Hirschkop shows how Bakhtin's ideas have changed the way we understand language and literary texts. Authoritative and accessible, this Cambridge Introduction is the most comprehensive and reliable account of Bakhtin and his work yet available.
Rembrandt, Vermeer, and the Gift in Seventeenth-Century Dutch Art
Authors: Zell Michael
Published: October 2021

This book offers a new perspective on the art of the Dutch Golden Age by exploring the interaction between the gift's symbolic economy of reciprocity and obligation and the artistic culture of early modern Holland. Gifts of art were pervasive in seventeenth-century Europe and many Dutch artists, like their counterparts elsewhere, embraced gift giving to cultivate relations with patrons, art lovers, and other members of their social networks. Rembrandt also created distinctive works to function within a context of gift exchange, and both Rembrandt and Vermeer engaged the ethics of the gift to identify their creative labor as motivated by what contemporaries called a love of art
Detection of Atrial Fibrillation in Routine EEG Recordings
Authors: Shelig Mohamed , Ames Madison , Young G. Bryan
Published: October 2021

Background:

A one-channel electrocardiogram (ECG) channel is recommended during electroencephalogram (EEG) recordings principally to help establish ECG or pulse wave contamination of the ECG EEG. However, the ECG recording, in itself, provides useful clinical information, principally the detection of arrhythmias, especially atrial fibrillation (AF), which indicates heart disease that can predispose to embolic stroke and systemic embolism. We sought to determine the prevalence of AF routine recordings in our EEG laboratory in a general hospital.

Methods:

We reviewed the consecutive EEG reports for the past 7 years to determine how often AF was detected in various age groups.

Results:

We found AF in 0–0.2% per decade of life until age 60–69 years, 2.7% for 70–79 years, 5% for 80–89 years, and 8% for 90–99 years.

Conclusion:

We suggest that the ECG trace should be carefully analyzed for AF, especially in patients over 60 years of age. When detected, it should be brought to the referring doctor’s attention.
Association Between Excess Sleep Duration and Risk of Stroke: A Population-Based Study
Authors: Joundi Raed A. , Patten Scott B. , Williams Jeanne V.A. , Smith Eric E.
Published: October 2021

Background:

Excess sleep is associated with higher risk of stroke, but whether the risk is modified by age and if it remains elevated after accounting for the competing risk of death is not well understood.

Methods:

We used nine years of the Canadian Community Health Survey between 2000 to 2016 to obtain self-reported sleep duration and created a cohort of individuals without prior stroke, heart disease, or cancer. We linked to hospital records to determine subsequent admissions or emergency department visits for acute stroke until December 31, 2017. We used Cox proportional hazard models to determine the association between sleep duration and risk of stroke, assessing for modification by age and sex and adjusting for demographic, vascular, and social factors. We obtained cumulative incidence of stroke accounting for the competing risk of death.

Results:

There were 82,795 individuals in our cohort who met inclusion criteria and had self-reported sleep duration, with 1705 stroke events in follow-up. There was an association between excess sleep (≥10 h/night) and risk of stroke in those <70 years (fully adjusted hazard ratio 2.29, 95% CI 1.04–5.06), but not ≥70 years of age, with a similar association after accounting for the competing risk of death.

Conclusion:

Sleep duration ≥10 h/night is associated with increased risk of stroke in those <70 years of age. The findings support current guidelines for 7–9 h of sleep per night. Further research is needed to elucidate the relationship between sleep and cerebrovascular disease.
A seamless multiscale operator neural network for inferring bubble dynamics
Authors: Lin Chensen , Maxey Martin , Li Zhen , Karniadakis George Em
Published: October 2021

Modelling multiscale systems from nanoscale to macroscale requires the use of atomistic and continuum methods and, correspondingly, different computer codes. Here, we develop a seamless method based on DeepONet, which is a composite deep neural network (a branch and a trunk network) for regressing operators. In particular, we consider bubble growth dynamics, and we model tiny bubbles of initial size from 100 nm to 10 

$\mathrm {\mu }\textrm {m}$

, modelled by the Rayleigh–Plesset equation in the continuum regime above 1 

$\mathrm {\mu }\textrm {m}$

and the dissipative particle dynamics method for bubbles below 1 

$\mathrm {\mu }\textrm {m}$

in the atomistic regime. After an offline training based on data from both regimes, DeepONet can make accurate predictions of bubble growth on-the-fly (within a fraction of a second) across four orders of magnitude difference in spatial scales and two orders of magnitude in temporal scales. The framework of DeepONet is general and can be used for unifying physical models of different scales in diverse multiscale applications.
Care precarity among older British migrants in Spain
Authors: Hall Kelly
Published: October 2021

Northern European international retirement migrants are often viewed as affluent and use migration as a route to a better quality of life. However, as these migrants transition into the ‘fourth age’, the onset of age-related illnesses, frailty and care needs can lead to increased levels of risk and insecurity. Through 34 qualitative interviews with older British migrants in Spain, the paper explores how these migrants access and experience care as they age. It draws on a lens of precarity that allows an understanding not only of individual care needs, but of the political, economic and social context in which they are situated, including social protections and public safety nets. The findings suggest that distant family relationships and limited access to formal social protection can both create and exacerbate precarity. These older migrants therefore develop different strategies to access care that include drawing on informal relationships and voluntary organisations within the British community in Spain. The paper contributes to understanding how international retirement migrants manage their care needs, and theoretically extends our understanding of how the intersection of old age, migration and care can create new forms of precarity.
Deconstructing Nonviolence and the War-Machine: Unarmed Coups, Nonviolent Power, and Armed Resistance
Authors: Finlay Christopher J.
Published: October 2021

Proponents of nonviolent tactics often highlight the extent to which they rival arms as effective means of resistance. Erica Chenoweth and Maria Stephan, for instance, compare civil resistance favorably to armed insurrection as means of bringing about progressive political change. In Ethics, Security, and the War-Machine, Ned Dobos cites their work in support of the claim that similar methods—organized according to Gene Sharp's idea of “civilian-based defense”—may be substituted for regular armed forces in the face of international aggression. I deconstruct this line of pacifist thought by arguing that it builds on the wrong binary. Turning away from a violence-nonviolence dichotomy structured around harmfulness, I look to Richard B. Gregg and Hannah Arendt for an account of nonviolent power defined by non-coercion. Whereas nonviolent coercion in the wrong hands still has the potential to subvert democratic institutions—just as armed methods can—Gregg's and Arendt's conceptions of nonviolent power identify a necessary bulwark against both forms of subversion. The dangers of nonviolent coercion can be seen in the largely nonviolent attempts at civil subversion by supporters of Donald Trump during Trump's attempts to overturn the results of the U.S. presidential election in 2020, while the effectiveness of noncoercive, nonviolent power is illustrated by the resistance of U.S. democratic institutions to resist them.
Past experiences with surprise medical bills drive issue knowledge, concern and attitudes toward federal policy intervention
Authors: Callaghan Timothy , Haeder Simon F. , Sylvester Steven
Published: October 2021

Scholars and journalists have devoted considerable attention to understanding the circumstances in which Americans receive surprise medical bills. Previous research on this issue has focused on the scope of the problem, including the conditions that are most likely to lead to surprise bills. However, the existing literature has almost exclusively relied on claims data, limiting our understanding of consumer experiences and attitudes toward policy changes to address surprise billing. Using a survey administered to a nationally representative sample of 4998 Americans, we analyze consumer experiences with surprise billing, knowledge of the issue, how concerned Americans are about receiving surprise bills and how past experiences influence policy preferences toward federal action on surprise billing. Our analysis demonstrates that knowledge and concern about surprise billing are the highest among the educated and those who have previously received a surprise bill. These factors also predict support for federal policy action, with high levels of support for federal policy action across the population, including among both liberals and conservatives. However, more detailed federal policy proposals receive significantly less support among Americans, suggesting that stand-alone policy action may not be viable. Our results show bipartisan support among American consumers for federal action on surprise billing in the abstract but no consistent views on specific policy proposals.
Who Supported the Early Muslim Brotherhood?
Authors: Ketchley Neil , Brooke Steven , Lia Brynjar
Published: October 2021

Scholarship on political Islam suggests that support for early Islamist movements came from literate merchants, government officials, and professionals who lacked political representation. We test these claims with a unique tranche of microlevel data drawn from a Muslim Brotherhood petition campaign in interwar Egypt. Matching the occupations of over 2,500 Brotherhood supporters to contemporaneous census data, we show that Egyptians employed in commerce, public administration, and the professions were more likely to sign the movement's petitions. The movement's supporters were also overwhelmingly literate. Contrary to expectations, the early Brotherhood also attracted support from Egyptians employed in agriculture, albeit less than we would expect given the prevalence of agrarian workers in the population. A case study tracing Muslim Brotherhood branch formation and petition activism in a Nile Delta village illustrates how literate, socially mobile agrarian families were key to the propagation of the movement in rural areas.
Zivildienstleistende als „helfende Hände“ im Privathaushalt
Authors: Riguzzi Marco , Bischofberger Iren
Published: October 2021

Zusammenfassung. Hintergrund: Betreuende Angehörige, die unentgeltlich nahestehende Personen unterstützen, gelten als das Rückgrat der unbezahlten Sorgearbeit in Privathaushalten. Da sie vermehrt erwerbstätig sind, braucht es für die häusliche Langzeitversorgung weitere Unterstützungsressourcen. Das Schweizer Bundesamt für Zivildienst ließ im Auftrag des Bundesrates prüfen, wie gut Zivildienstleistende (Zivis) von betreuenden Angehörigen akzeptiert würden und welche Angebote Letztere nutzen würden. Ziel: Die Studienergebnisse leisten einen Beitrag dazu, Zivildiensteinsätze in der Schweiz datengestützt unter Einbezug erwerbstätiger betreuender Angehöriger weiterzuentwickeln. Methoden: In einer quantitativen Querschnittsstudie beantworteten 158 erwerbstätige betreuende Angehörige aus drei Sprachregionen der Schweiz einen einheitlichen Fragebogen. Deren Daten wurden deskriptiv und inferenzstatistisch ausgewertet (Hypothesentests, Regression). Ergebnisse: Situationen mit kognitiver Einschränkung der betreuten Person (29 %) machten die Mehrheit der gemäß den betreuenden Angehörigen gewünschten Zivi-Einsatzzeiten aus (56 %) und gingen mit höherer Zahlungsbereitschaft einher. Hilfe bei der Körperpflege sowie Fahrdienste wurden häufig gewünscht und die betreffenden Situationen waren zeitintensiv. Schlussfolgerungen: Es besteht Bedarf entlang der gesamten Erwerbsphase von betreuenden Angehörigen. Die Vereinbarkeit von Beruf und Betreuung ist wesentlich auf ein funktionales und flexibles Netz in der Langzeitversorgung angewiesen, das nicht durch den Arbeitsmarkt allein gewährleistet werden kann.
Controls on Seasonal Variations of Crustal Seismic Velocity in Taiwan Using Single‐Station Cross‐Component Analysis of Ambient Noise Interferometry
Authors: Feng Kuan‐Fu , Huang Hsin‐Hua , Hsu Ya‐Ju , Wu Yih‐Min
Published: October 2021

Ambient noise interferometry is a powerful technique to continuously measuring crustal seismic velocity changes (dv/v) and studying crustal behaviors over time. However, the interpretation of such dv/v variations is not straightforward since multiple causes including internal (tectonic/magmatic) processes of the crust and external (environmental) factors could both affect dv/v simultaneously. To differentiate the interplay between the internal and external processes in dv/v variations is an essential step toward accurate crustal monitoring. In this study, we apply the single‐station cross‐component (SC) method to 15 selected stations from the Broadband Array in Taiwan for Seismology (BATS) to investigate the temporal evolution of crustal seismic velocities across Taiwan. We process the continuous BATS seismic recording from 1998 to 2019, construct the daily SC correlation functions, and compute dv/v values by the stretching technique in a frequency band of 0.1–0.9 Hz. We observe both strong annual dv/v variations and co‐seismic velocity drops associated with regional moderate‐to‐large earthquakes. Systematic spectral and time‐series analyses with the weather data suggest that the rainfall‐induced pore‐pressure change plays a predominant role in driving the dv/v seasonality, reflecting a diffusion process from meteoric water into shallow crust. The effects of other factors are relatively local and secondary. We also demonstrate how understanding and correcting rainfall effects could critically improve the resolution and accuracy of internal crustal damage related to earthquakes.