bluuebunny/crossref_metadata_2025_split huggingface dataset:
High temperature atomic oxygen testing for ESA’s Envision mission to Venus
Authors: Suliga Agnieszka , Brieva Abel , Milassin Gabor , Tighe Adrian , Voirin Thomas 
Published: August 2023

Abstract
EnVision will be ESA’s next Venus orbiter, providing a holistic view of the planet from its inner core to upper atmosphere to determine how and why Venus and Earth evolved so differently. The spacecraft will be equipped with a suite of instruments including a sounder to reveal underground layering, and spectrometers to study the atmosphere and surface. The thermal fluxes in orbit around Venus are high, the solar flux at Venus distance is twice its value on Earth (around 2600 W/m2), and the reflected sunlight flux has a similar order of magnitude due to the albedo. Besides, there will also be an aerobraking phase, when a third thermal flux, the aerothermal flux, needs to be considered, with a similar order of magnitude as the two others. These high total thermal fluxes, together with the cold instruments’ requirements and high-power dissipation make the thermal environment a design driver for the mission. The chemistry of the atmospheric environment during aerobraking needs also to be taken into account. Atomic oxygen exists in Venus atmosphere at the altitude range foreseen for aerobraking, with densities of up to 1017 oxygen atoms per cubic metres at aerobraking altitudes. Though the concentrations are small, their accumulation over up to 2000 atmospheric passes lead to total atomic oxygen fluences on the exposed spacecraft surfaces which are comparable to those encountered on typical Low Earth orbiting satellites (upwards of 1021 atomscm-2). This drives the selection of spacecraft materials on the most exposed surfaces. Whilst significant data exists about atomic oxygen erosion effects on materials for Low Earth Orbit, there is little knowledge about high temperature atomic oxygen effects on materials under environmental conditions representative of the Venus atmosphere. To analyse the potential risks for the Envision mission, and to assist the designers in selecting the best materials, an atomic oxygen test campaign is being performed in the ESA ESTEC atomic oxygen ground-based simulator (LEOX facility). The facility has been adapted so that material samples can be simultaneously exposed to atomic oxygen and high temperatures up to at least 200°C. For the test campaign, the Envision instrument teams and designers of the prospective satellite systems are providing candidate materials to be exposed. This includes a variety of materials to be utilised on the outside of the satellite such as thermal control coatings, optical materials, coatings for appendages and antennas and multi-layer insulation. The paper describes the modifications to the facility and the first results of the testing which has been performed.
Using a portable IR spectrometer for materials characterization and identification
Authors: Szmolka S , Bras B , Ergincan O 
Published: August 2023

Abstract
This work is an assessment of contactless techniques for space hardware ground testing and characterization. It is based on Fourier Transform Infrared (FT-IR) spectroscopy, namely a commercially available portable FT-IR instrument operating in reflection and transmission measurements at a considerable distance from the measured surfaces. The two methodologies are evaluated namely related to 1) molecular contamination monitoring, and 2) materials identification. These techniques can provide important information in support of Manufacturing, Assembly, Integration and Testing activities as well as non-conformance investigations. Non-contact characterization techniques are particularly relevant when dealing with sensitive surfaces and/or surfaces with limited access such as optical components already integrated in the optical bench.
Measuring protein-membrane interaction through radial fluorescence correlation in 2 dimensions
Authors: Philipp N , Gratton E , Estrada L C 
Published: August 2023

Abstract
The cell membrane has a fundamental role in the cell life cycle but there’s still much to be learned about its heterogeneous structure, regulation, and protein interaction. Additionally, the protein-membrane interaction is often overlooked when studying specific protein dynamics. In this work, we present a new tool for a better understanding of protein dynamics and membrane function using live cells and fast non-invasive techniques without the need for individual particle tracking. To this end, we used the 2D-pair correlation function (2D-pCF) to study protein interactions across cellular membranes. We performed numerical simulations and confocal experiments using a GAP-mEGFP fusion construct known to interact with the plasmatic membrane. Our results demonstrate that based on a quantitative correlation analysis as the 2D pair correlation of the signal intensities, is possible to characterize protein-membrane interactions in live systems and real-time. Combining experimental and numerical results this work presents a new powerful approach to the study of the dynamic protein-membrane interaction.
Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning
Authors: Singh Yadav Ram , Sadashiva Aniket , Holla Amod , Muduli Pranaba Kishor , Bhowmik Debanjan 
Published: August 2023

Abstract
Topological-soliton-based devices, like the ferromagnetic domain-wall device, have been proposed as non-volatile memory (NVM) synapses in electronic crossbar arrays for fast and energy-efficient implementation of on-chip learning of neural networks (NN). High linearity and symmetry in the synaptic weight-update characteristic of the device (long-term potentiation (LTP) and long-term depression (LTD)) are important requirements to obtain high classification/regression accuracy in such an on-chip learning scheme. However, obtaining such linear and symmetric LTP and LTD characteristics in the ferromagnetic domain-wall device has remained a challenge. Here, we first carry out micromagnetic simulations of the device to show that the incorporation of defects at the edges of the device, with the defects having higher perpendicular magnetic anisotropy compared to the rest of the ferromagnetic layer, leads to massive improvement in the linearity and symmetry of the LTP and LTD characteristics of the device. This is because these defects act as pinning centres for the domain wall and prevent it from moving during the delay time between two consecutive programming current pulses, which is not the case when the device does not have defects. Next, we carry out system-level simulations of two crossbar arrays with synaptic characteristics of domain-wall synapse devices incorporated in them: one without such defects, and one with such defects. For on-chip learning of both long short-term memory networks (using a regression task) and fully connected NN (using a classification task), we show improved performance when the domain-wall synapse devices have defects at the edges. We also estimate the energy consumption in these synaptic devices and project their scaling, with respect to on-chip learning in corresponding crossbar arrays.
Weak type estimate for the partial sums of Noncommutative Vilenkin-Fourier series
Authors: Tian Chengshu , Zhou Dejian 
Published: August 2023

Let

N

=

L

∞

(

G

m

)

⊗
¯

M

\mathcal {N}=L_{\infty }(G_{\mathbf {m}})\bar {\otimes }\mathcal {M}

where

M

\mathcal {M}

is a semifinite von Neumann algebra and

G

m

G_{\mathbf {m}}

is a bounded Vilenkin group. Considering the partial sums

S
n

(
f
)

S_n(f)

of the Vilenkin-Fourier series of

f
∈

L
1

(

N

)

f\in L_1(\mathcal {N})

, we prove that there is a universal constant

c
c

independent of

f
f

,

n
n

and

M

\mathcal {M}

such that

‖

S
n

(
f
)

‖

L

1
,
∞

(

N

)

≤
c
‖
f

‖

L
1

(

N

)

.

\begin{equation*} \|S_n(f)\|_{L_{1,\infty }(\mathcal {N})}\leq c\|f\|_{L_1(\mathcal {N})}. \end{equation*}

Consequently, by transference argument, we obtain Scheckter and Sukochev’s result in the noncommutative bounded Vilenkin system setting. We also show the

H
1

H_1

-

L
1

L_1

boundedness for modified partial sums.
Modeling Therapy as Discourse in Twentieth-Century American Literature
Authors: Algee-Hewitt Mark , Mendelman Lisa , Mukamal Anna , Terry Kendra 
Published: August 2023

Abstract
This article uses quantitative methods of cultural analytics in order to trace points of contact between the discourse of therapy as it emerges in the encounter between patient and clinician and in the language of twentieth-century US novels. Our computational analysis moves away from considering therapy as a diagnostic tool, either for characters or authors, and towards thinking about therapy as a discourse: a set of words (semantics) in a pattern of proportions (parts of speech, grammar). Our computational models identify excerpts of novels that contain therapy discourse and, in so doing, reveal the ways that the discourse of therapy exists in the novel beyond its expected pathways of entry (through setting, plot, and characterization). In close reading these excerpts, we observe the consistent use of a representational aesthetics of psychological interiority, one that endeavors to approximate a realistic experience of living in and through our interactions with one another. We propose that therapy as a discourse is not strictly a clinical endeavor but is more broadly an intersubjective enterprise—a process-oriented linguistic phenomenon that arises in a more heterogeneous canon of novels than those in which critics have traditionally thought to look.
Using cultural analytical methods to explore therapy as a discourse helps us . . . to consider therapy and the novel as interdependent terms of analysis and at heretofore impossible scales.
The Madness of America
Authors: Gilman Sander L 
Published: August 2023

Abstract
The essays in this volume of American Literary History devoted to the echoes of medical discourse in American literary culture represent the best of our contemporary approaches to the Medical Humanities. In my essay-comment, I pose the question about how “American” such queries are in the cases presented. My answer is that they are very American, often in surprising ways.American patients’ central nervous systems are exhausted; their energy reserves depleted by the world which they inhabit.
On the Promise of Using Membership Categorization Analysis to Investigate Interactional Competence
Authors: Dai David Wei , Davey Michael 
Published: August 2023

Abstract
Interactional Competence (IC) involves speakers’ ability to make social actions recognizable to one another while taking into account individual identities and social role relationships (Hall and Pekarek Doehler 2011). Existing IC research, however, has foregrounded the sequential features of interaction while paying less attention to the categorial resources speakers draw on. This study uses Membership Categorization Analysis (MCA) to explicate the categorial resources speakers employ in interaction. The dataset comes from 22 participants with a mixture of first-language and second-language Chinese speakers. They were audio-recorded while undertaking a roleplay task in Chinese—assuming the role of an employee and complaining to their manager about unfair practices at work. After analysing the transcribed data using the MCA procedure (Stokoe 2012), we present analyses that address three foundational questions about how speakers use categorial resources to (i) make their social actions recognizable, (ii) respond to interlocutors’ social actions, and (iii) orient to the moral order of interaction. We argue MCA can provide important insight into the categorial nature of interaction in IC research.
Anomaly detection in mixed high-dimensional molecular data
Authors: Buck Lena , Schmidt Tobias , Feist Maren , Schwarzfischer Philipp , Kube Dieter , Oefner Peter J , Zacharias Helena U , Altenbuchinger Michael , Dettmer Katja , Gronwald Wolfram , Spang Rainer 
Published: August 2023

Abstract

Motivation
Mixed molecular data combines continuous and categorical features of the same samples, such as OMICS profiles with genotypes, diagnoses, or patient sex. Like all high-dimensional molecular data, it is prone to incorrect values that can stem from various sources for example the technical limitations of the measurement devices, errors in the sample preparation, or contamination. Most anomaly detection algorithms identify complete samples as outliers or anomalies. However, in most cases, not all measurements of those samples are erroneous but only a few one-dimensional features within the samples are incorrect. These one-dimensional data errors are continuous measurements that are either located outside or inside the normal ranges of their features but in both cases show atypical values given all other continuous and categorical features in the sample. Additionally, categorical anomalies can occur for example when the genotype or diagnosis was submitted wrongly.

Results
We introduce ADMIRE (Anomaly Detection using MIxed gRaphical modEls), a novel approach for the detection and correction of anomalies in mixed high-dimensional data. Hereby, we focus on the detection of single (one-dimensional) data errors in the categorical and continuous features of a sample. For that the joint distribution of continuous and categorical features is learned by mixed graphical models, anomalies are detected by the difference between measured and model-based estimations and are corrected using imputation. We evaluated ADMIRE in simulation and by screening for anomalies in one of our own metabolic datasets. In simulation experiments, ADMIRE outperformed the state-of-the-art methods of Local Outlier Factor, stray, and Isolation Forest.

Availability and implementation
All data and code is available at https://github.com/spang-lab/adadmire. ADMIRE is implemented in a Python package called adadmire which can be found at https://pypi.org/project/adadmire.
scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization
Authors: Yan Xuhua , Zheng Ruiqing , Chen Jinmiao , Li Min 
Published: August 2023

Abstract

Motivation
scATAC-seq has enabled chromatin accessibility landscape profiling at the single-cell level, providing opportunities for determining cell-type-specific regulation codes. However, high dimension, extreme sparsity, and large scale of scATAC-seq data have posed great challenges to cell-type identification. Thus, there has been a growing interest in leveraging the well-annotated scRNA-seq data to help annotate scATAC-seq data. However, substantial computational obstacles remain to transfer information from scRNA-seq to scATAC-seq, especially for their heterogeneous features.

Results
We propose a new transfer learning method, scNCL, which utilizes prior knowledge and contrastive learning to tackle the problem of heterogeneous features. Briefly, scNCL transforms scATAC-seq features into gene activity matrix based on prior knowledge. Since feature transformation can cause information loss, scNCL introduces neighborhood contrastive learning to preserve the neighborhood structure of scATAC-seq cells in raw feature space. To learn transferable latent features, scNCL uses a feature projection loss and an alignment loss to harmonize embeddings between scRNA-seq and scATAC-seq. Experiments on various datasets demonstrated that scNCL not only realizes accurate and robust label transfer for common types, but also achieves reliable detection of novel types. scNCL is also computationally efficient and scalable to million-scale datasets. Moreover, we prove scNCL can help refine cell-type annotations in existing scATAC-seq atlases.

Availability and implementation
The source code and data used in this paper can be found in https://github.com/CSUBioGroup/scNCL-release.
Preventing prefrontal dysfunction by tDCS modulates stress-induced creativity impairment in women: an fNIRS study
Authors: Wang Yifan , Zhang Jiaqi , Li Yadan , Qi Senqing , Zhang Fengqing , Ball Linden J , Duan Haijun 
Published: August 2023

Abstract
Stress is a major external factor threatening creative activity. The study explored whether left-lateralized activation in the dorsolateral prefrontal cortex manipulated through transcranial direct current stimulation could alleviate stress-induced impairment in creativity. Functional near-infrared spectroscopy was used to explore the underlying neural mechanisms. Ninety female participants were randomly assigned to three groups that received stress induction with sham stimulation, stress induction with true stimulation (anode over the left and cathode over the right dorsolateral prefrontal cortex), and control manipulation with sham stimulation, respectively. Participants underwent the stress or control task after the transcranial direct current stimulation manipulation, and then completed the Alternative Uses Task to measure creativity. Behavioral results showed that transcranial direct current stimulation reduced stress responses in heart rate and anxiety. The functional near-infrared spectroscopy results revealed that transcranial direct current stimulation alleviated dysfunction of the prefrontal cortex under stress, as evidenced by higher activation of the dorsolateral prefrontal cortex and frontopolar cortex, as well as stronger inter-hemispheric and intra-hemispheric functional connectivity within the prefrontal cortex. Further analysis demonstrated that the cortical regulatory effect prevented creativity impairment induced by stress. The findings validated the hemispheric asymmetry hypothesis regarding stress and highlighted the potential for brain stimulation to alleviate stress-related mental disorders and enhance creativity.
Reversible severe pulmonary hypertension and right heart failure with cardiogenic shock due to scurvy: a case report
Authors: Kurnick Adam , Zaveri Sahil , Tadayoni Ashkan , Chandrakumar Harshith P , John Sabu 
Published: August 2023

Abstract

Background
The systemic complications of vitamin C deficiency, otherwise known as scurvy, have been well-documented in history. Few case reports have documented severe cardiopulmonary complications such as right heart failure (RHF) and pulmonary hypertension (PH).

Case summary
A 25-year-old female presented to the hospital with two weeks of progressive fatigue, dyspnoea, myalgias, and arthralgias. She was admitted for symptomatic anaemia requiring transfusion. Her symptoms persisted and she developed severe PH and RHF, complicated by cardiogenic shock and multiple episodes of cardiac arrest. She was found to have severe vitamin C deficiency secondary to a severely self-restricted diet. After repletion of vitamin C, the patient had complete resolution of RHF and PH.

Discussion
This case adds to the sparse literature documenting severe cardiopulmonary complications of vitamin C deficiency. We believe that this is the first adult case of scurvy causing RHF and PH leading to cardiogenic shock and episodes of cardiac arrest. There are multiple hypotheses on the pathogenesis of scurvy-associated PH and RHF, including overactivation of hypoxia-inducible transcription factors and deficiency of vitamin C’s vasodilatory effect that acts through increased nitric oxide production in endothelial cells. When recognized, early vitamin C repletion may prevent severe cardiopulmonary complications of scurvy.
Whole-genome phylogeography of the intertidal snail Littorina saxatilis
Authors: Stankowski Sean , Zagrodzka Zuzanna B , Galindo Juan , Montaño-Rendón Mauricio , Faria Rui , Mikhailova Natalia , Blakeslee April M H , Arnason Einar , Broquet Thomas , Morales Hernán E , Grahame John W , Westram Anja M , Johannesson Kerstin , Butlin Roger K 
Published: August 2023

Abstract
Understanding the factors that have shaped the current distributions and diversity of species is a central and longstanding aim of evolutionary biology. The recent inclusion of genomic data into phylogeographic studies has dramatically improved our understanding in organisms where evolutionary relationships have been challenging to infer. We used whole-genome sequences to study the phylogeography of the intertidal snail Littorina saxatilis, which has successfully colonized and diversified across a broad range of coastal environments in the Northern Hemisphere amid repeated cycles of glaciation. Building on past studies based on short DNA sequences, we used genome-wide data to provide a clearer picture of the relationships among samples spanning most of the species natural range. Our results confirm the trans-Atlantic colonization of North America from Europe, and have allowed us to identify rough locations of glacial refugia and to infer likely routes of colonization within Europe. We also investigated the signals in different datasets to account for the effects of genomic architecture and non-neutral evolution, which provides new insights about diversification of four ecotypes of L. saxatilis (the crab, wave, barnacle, and brackish ecotypes) at different spatial scales. Overall, we provide a much clearer picture of the biogeography of L. saxatilis, providing a foundation for more detailed phylogenomic and demographic studies.
Does Future Time Perspective Moderate Associations of Instrumental and Affective Attitude With Exercise Behavior? A Three-Wave Longitudinal Survey Among Japanese Older Adults
Authors: Harada Kazuhiro , Masumoto Kouhei , Okada Shuichi 
Published: August 2023

Abstract

Objectives
To develop effective promotion strategies for exercise behavior in older adults, it is essential to identify the psychological determinants. Previous studies investigated affective and instrumental attitudes as determinants. However, from the conceptual assumptions of socioemotional selectivity theory, affective attitudes might be more influential on the exercise behavior of older adults with an expansive future time perspective, whereas instrumental attitudes would be more influential on those with limited perspectives. This study examined whether the associations of affective and instrumental attitudes with behavioral intention and exercise behavior differed according to future time perspective among older Japanese adults.

Methods
Data were obtained from a 3-wave longitudinal questionnaire survey of 886 individuals (Wave 1: December 2017–January 2018; Wave 2, 1-year follow-up; Wave 3, 3-year follow-up). Using the data on exercise behavior, affective and instrumental attitudes, and behavioral intention at each wave, and the data of future time perspective and demographic factors at Wave 1, this study performed multiple regression analyses and a multigroup cross-lagged model.

Results
Affective attitude was a significant predictor of behavioral intention regardless of future time perspective. Although instrumental attitude significantly predicted behavioral intention among those with a lower future time perspective, it did not predict behavioral intention among those with middle-to-higher future time perspective. Regardless of future time perspective, affective attitude, but not instrumental attitude, significantly predicted exercise behavior.

Discussion
Unlike the socioemotional selectivity theory, this study found that affective attitude was more influential on exercise behavior than instrumental attitude regardless of future time perspective among them.