bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical computation of electrical potential on a gas evolving electrode
Authors: Abdelghani-Idrissi Soufiane , Colin Annie 
Published: January 2023

AbstractElectrochemical systems using a gas evolving electrode, such as metal-air batteries or electrolyzers, are confronted with recurrent problems related to gas production. Indeed, the production of gas at the surface of the electrodes causes a masking of the active surface which induces overvoltages and unstable electrical signals in time. We propose here numerical computations that take into account the spatial heterogeneity of the electrode and allow to account for the size distribution of the produced bubbles. We compare these computations to experiments on a Platinum–Carbon plate cell in the presence or absence of electrolyte flow. They reproduce the observed behavior and allow us to predict the stability of the signals. They are also a guide for the synthesis of efficient electrodes.
A mediated moderation model of negative life events, self-esteem, rumination and parental divorce on depression among Chinese juvenile delinquents
Authors: Zhao Shou-Ying , Ren Rong-Rong , Chen Wei 
Published: January 2023

AbstractLittle attention was paid to the prevalence of depression in Chinese juvenile delinquents who are studied in correctional work-study schools. Hence, the present study aimed to test the unique, mediating and moderating effects of negative life events, self-esteem, rumination and parental divorce on depression among Chinese juvenile delinquents. A total of 236 juvenile delinquents aged between 12 and 17 years old (M = 14.68 SD = 1.30) were recruited to accomplish a battery of self-report questionnaires concerning their negative life events, self-esteem, rumination, depression and demographic profile. The descriptive analysis showed that there was a positive correlation between negative life events and depression in Chinese juvenile delinquents. Moreover, the results from the structural model indicated that self-esteem and rumination played separate and sequential mediating roles between negative life events and depression. In addition, parental divorce had a moderating effect between negative life events and self-esteem in the model. These results suggest that the prevalence of depression among Chinese juvenile delinquents can be reduced through modification of the ruminative way of thinking, improving their self-esteem when they encounter a number of negative life events. Furthermore, more attention should be paid to the juvenile delinquents who experienced parental divorce.
A reinforcement learning approach to explore the role of social expectations in altruistic behavior
Authors: Castañón Rosendo , Campos Fco. Alberto , Villar José , Sánchez Angel 
Published: January 2023

AbstractWhile altruism has been studied from a variety of standpoints, none of them has proven sufficient to explain the richness of nuances detected in experimentally observed altruistic behavior. On the other hand, the recent success of behavioral economics in linking expectation formation to key behaviors in complex societies hints to social expectations having a key role in the emergence of altruism. This paper proposes an agent-based model based upon the Bush–Mosteller reinforcement learning algorithm in which agents, subject to stimuli derived from empirical and normative expectations, update their aspirations (and, consequently, their future cooperative behavior) after playing successive rounds of the Dictator Game. The results of the model are compared with experimental results. Such comparison suggests that a stimuli model based on empirical and normative expectations, such as the one presented in this work, has considerable potential for capturing the cognitive-behavioral processes that shape decision-making in contexts where cooperative behavior is relevant.
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates
Authors: Vekuri Henriikka , Tuovinen Juha-Pekka , Kulmala Liisa , Papale Dario , Kolari Pasi , Aurela Mika , Laurila Tuomas , Liski Jari , Lohila Annalea 
Published: January 2023

AbstractClimate change mitigation requires, besides reductions in greenhouse gas emissions, actions to increase carbon sinks in terrestrial ecosystems. A key measurement method for quantifying such sinks and calibrating models is the eddy covariance technique, but it requires imputation, or gap-filling, of missing data for determination of annual carbon balances of ecosystems. Previous comparisons of gap-filling methods have concluded that commonly used methods, such as marginal distribution sampling (MDS), do not have a significant impact on the carbon balance estimate. By analyzing an extensive, global data set, we show that MDS causes significant carbon balance errors for northern (latitude $$>60^\circ$$

>

60
∘

) sites. MDS systematically overestimates the carbon dioxide (CO$$_2$$

2

) emissions of carbon sources and underestimates the CO$$_2$$

2

sequestration of carbon sinks. We also reveal reasons for these biases and show how a machine learning method called extreme gradient boosting or a modified implementation of MDS can be used to substantially reduce the northern site bias.
Differential angiogenesis of bone and muscle endothelium in aging and inflammatory processes
Authors: Arrigoni Chiara , Ostano Paola , Bersini Simone , Crippa Martina , Colombo Maria Vittoria , Gilardi Mara , Zagra Luigi , Mello-Grand Maurizia , Gregnanin Ilaria , Ghilardi Carmen , Bani Maria Rosa , Candrian Christian , Chiorino Giovanna , Moretti Matteo 
Published: January 2023

AbstractDifferent tissues have different endothelial features, however, the implications of this heterogeneity in pathological responses are not clear yet. “Inflamm-aging” has been hypothesized as a possible trigger of diseases, including osteoarthritis (OA) and sarcopenia, often present in the same patient. To highlight a possible contribution of organ-specific endothelial cells (ECs), we compare ECs derived from bone and skeletal muscle of the same OA patients. OA bone ECs show a pro-inflammatory signature and higher angiogenic sprouting as compared to muscle ECs, in control conditions and stimulated with TNFα. Furthermore, growth of muscle but not bone ECs decreases with increasing patient age and systemic inflammation. Overall, our data demonstrate that inflammatory conditions in OA patients differently affect bone and muscle ECs, suggesting that inflammatory processes increase angiogenesis in subchondral bone while associated systemic low-grade inflammation impairs angiogenesis in muscle, possibly highlighting a vascular trigger linking OA and sarcopenia.
Using click chemistry to study microbial ecology and evolution
Authors: van Kasteren Sander , Rozen Daniel E 
Published: January 2023

Abstract
Technological advances have largely driven the revolution in our understanding of the structure and function of microbial communities. Culturing, long the primary tool to probe microbial life, was supplanted by sequencing and other -omics approaches, which allowed detailed quantitative insights into species composition, metabolic potential, transcriptional activity, secretory responses and more. Although the ability to characterize “who’s there” has never been easier or cheaper, it remains technically challenging and expensive to understand what the diverse species and strains that comprise microbial communities are doing in situ, and how these behaviors change through time. Our aim in this brief review is to introduce a developing toolkit based on click chemistry that can accelerate and reduce the expense of functional analyses of the ecology and evolution of microbial communities. After first outlining the history of technological development in this field, we will discuss key applications to date using diverse labels, including BONCAT, and then end with a selective (biased) view of areas where click-chemistry and BONCAT-based approaches stand to have a significant impact on our understanding of microbial communities.
Crystallography at non-ambient conditions and physical properties of the synthesized double perovskites, Sr2(Co1−xFex)TeO6
Authors: Zaraq Asmaa , Orayech Brahim , Igartua Josu M. , El Bouari Abdeslam , Gregory Duncan H. , Gesing Thorsten M. 
Published: January 2023

We report the synthesis of double perovskite oxides Sr2(Co1−xFex)TeO6 obtained by solid-state reaction. The changes in the crystal structures of the samples due to iron substitution were studied using XRD, Raman spectroscopy and 57Fe Mössbauer spectroscopy.
Adipose tissue macrophages and their role in obesity-associated insulin resistance: an overview of the complex dynamics at play
Authors: Guria Suktara , Hoory Anupama , Das Snehasis , Chattopadhyay Dipanjan , Mukherjee Sutapa 
Published: January 2023

Abstract
Obesity, a major global health concern, is characterized by serious imbalance between energy intake and expenditure leading to excess accumulation of fat in adipose tissue (AT). A state of chronic low-grade AT inflammation is prevalent during obesity. The adipose tissue macrophages (ATM) with astounding heterogeneity and complex regulation play a decisive role in mediating obesity-induced insulin resistance. Adipose-derived macrophages were broadly classified as proinflammatory M1 and anti-inflammatory M2 subtypes but recent reports have proclaimed several novel and intermediate profiles, which are crucial in understanding the dynamics of macrophage phenotypes during development of obesity. Lipid-laden hypertrophic adipocytes release various chemotactic signals that aggravate macrophage infiltration into AT skewing toward mostly proinflammatory status. The ratio of M1-like to M2-like macrophages is increased substantially resulting in copious secretion of proinflammatory mediators such as TNFα, IL-6, IL-1β, MCP-1, fetuin-A (FetA), etc. further worsening insulin resistance. Several AT-derived factors could influence ATM content and activation. Apart from being detrimental, ATM exerts beneficial effects during obesity. Recent studies have highlighted the prime role of AT-resident macrophage subpopulations in not only effective clearance of excess fat and dying adipocytes but also in controlling vascular integrity, adipocyte secretions, and fibrosis within obese AT. The role of ATM subpopulations as friend or foe is determined by an intricate interplay of such factors arising within hyperlipidemic microenvironment of obese AT. The present review article highlights some of the key research advances in ATM function and regulation, and appreciates the complex dynamics of ATM in the pathophysiologic scenario of obesity-associated insulin resistance.
Prediction of centrifuge capillary pressure using machine learning techniques
Authors: Bursey Brandon Jeremy , Mohagheghian Erfan , Sripal Edison , James Lesley Anne 
Published: January 2023

In current literature in the petroleum industry, machine learning has been used to predict capillary pressure only on the centrifugal data points and not the complete capillary pressure curves generated from existing correlations after analysis. This paper will present novel information that will benefit the petroleum industry as it shows machine learning techniques can be used to obtain the complete capillary pressure curve which is the end goal in undertaking an SCAL centrifuge experiment.
This research involves testing core samples using a centrifuge set up to produce capillary pressure data points. Then, using a commercial SCAL interpretation software, the collected data is utilized to generate complete capillary pressure curves based on developed literature correlations. RCAL data for the core samples is also obtained to be used with the machine learning techniques. The machine learning models are then applied to the collected data to predict the capillary pressure curves. Optimization of the different machine learning techniques is done to improve the predictions.
The results show the machine learning techniques perform very well on the validation set after being trained on the training set. The machine learning models also provide reasonable prediction of the complete capillary pressure curves on the testing data set. Changing of the machine learning technique parameters also shows the effect on the overall precision and the improvements that can be made. Further research can be done to see the effectiveness of using machine learning techniques to predict other SCAL properties such as relative permeability. This can then greatly reduce the time needed to obtain these extremely important properties for reservoir characterization.
Palladium-Mediated Reductive Heck Cyclization for the Synthesis of Fused Retinoid Derivatives
Authors: Chakravorty Santanu , Kundu Mrinalkanti , Roy Brindaban , Mitra Trisha , Joardar Soumen , Majumdar Manoj 
Published: January 2023

AbstractLinearly fused retinoid derivatives have been synthesized via a straightforward pathway using a palladium-catalyzed reductive Heck cyclization strategy. The synthesis involved a four-step linear approach utilizing iodination, sulfonylation or benzylation or esterification, palladium-catalyzed Sonogashira cross-coupling and palladium-mediated reductive Heck cyclization.
Evidence-Based Medicine: Facial Reanimation
Authors: Kimura Kyle S. , Kfoury Peter , Pepper Jon-Paul 
Published: January 2023

AbstractThis article provides a brief historical overview of the assessment instruments that have been developed to categorize the severity of disease in patients with facial palsy. Important advances in the quality of these instruments are discussed. The modern-day instruments that are commonly required for evidence-based patient assessment are then presented, with emphasis on the level of evidence of the studies that describe these instruments.
Temporal Pattern of micro-CT Angiography Vascular Parameters and VEGF mRNA Expression in Fracture Healing: a Radiograph and Molecular Comparison
Authors: Nurrachman Aga Satria , Azhari Azhari , Epsilawati Lusi , Pramanik Farina 
Published: January 2023

AbstractAngiogenesis plays an important role in fracture healing with vascular endothelial growth factor (VEGF) as the main protein involved. Micro-computed tomography (CT) angiography may be used to analyze this revascularization with several parameters such as number of branches, total volume, and diameter. This systematic review is aimed to assess available studies on the temporal pattern of vascular imaging on micro-CT angiographs, especially in terms of the number of branches, total volume, and diameter as well as the temporal pattern of VEGF mRNA expression as the molecular comparison during bone fracture healing. This review was conducted according to the PRISMA guidelines. Electronic database searches were performed using PubMed, ProQuest, ScienceDirect, EBSCOhost, Taylor & Francis Online, and hand searching. The search strategy and keywords were adjusted to each database using the Boolean operators and other available limit functions to identify most relevant articles based on our inclusion and exclusion criteria. Screening and filtration were done in several stages by removing the duplicates and analyzing each title, abstract, and full-text in all included entries. Data extraction was done for syntheses to summarize the temporal pattern of each parameter. A total of 28 articles were eligible and met all criteria, 11 articles were synthesized in its angiograph's analysis, 16 articles were synthesized in its VEGF mRNA expression analysis, and 1 article had both parameters analyzed. The overall temporal pattern of both three micro-CT angiographic parameters and VEGF mRNA expression was in line qualitatively. The number of branches, total volume, and diameter of the blood vessels in micro-CT angiography showed an exponential rise at week 2 and decline at week 3 of fracture healing, with the VEGF mRNA expression concurrently showing a consistent pattern in the phase.
Linear Accuracy of Intraoral Scanners for Full-Arch Impressions of Implant-Supported Prostheses: A Systematic Review and Meta-Analysis
Authors: Floriani Franciele , Lopes Guilherme Carpena , Cabrera Alexandre , Duarte Wagner , Zoidis Panagiotis , Oliveira Dayane , Rocha Mateus Garcia 
Published: January 2023

AbstractThis article compares the accuracy of intraoral scanners (IOSs) used in the digital impression of full arches to fabricate implant-supported complete prostheses. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and was registered in the Open Science Framework (DOI 10.17605/OSF.IO/CPM9K). Six electronic databases, gray literature databases, and a manual search were performed in April 2022. Studies that evaluated the accuracy of intraoral scan impressions compared with conventional impressions in full-arch impressions were included for complete implant-supported prostheses. In addition, an adapted checklist for reporting in vitro studies was used to assess the risk of bias. Meta-analysis was conducted using a random-effects Hunter– Schmidt model. Nine studies were included in the analysis. IOS impressions present higher accuracy (137.86 μm) than conventional impressions (182.51 μm) (p<0.001). The heterogeneity of the study's methodology was I2¼18.34. However, impression accuracy varies significantly with scan body type, IOS type, scanning strategy, and modification technique. For most IOS systems, the acceptable clinical threshold of linear accuracy of 200 μm can be achieved, except for the True Definition Scanner in one of the studies. Based on the results of the included studies, digital impressions using IOS present similar or better linear accuracy than conventional impression techniques.
Dear British politics—where is the race and racism?
Authors: Akram Sadiya 
Published: January 2023

AbstractThis article explores the neglect of race and racism in the discipline of British politics. I outline why this has happened, the consequences of such neglect and how it might be remedied. The article proceeds in four stages: First, it makes the case that British politics has neglected race and racism. I do this by showing that race does not feature within the core concerns of the discipline, and that despite the fact that race may be noted in the relationship between demography and representation, its status as a social construct is not addressed. Second, the article explores the question of disciplinary reflexivity. Drawing on Emirbayer and Desmond’s (2012) racial reflexivity framework, I delineate the disciplinary and scholastic unconscious of British politics, showing that the reliance on the Westminster Model obscures questions of race. Next, the article discusses the Sewell Report (2021), explicating its post-racism narrative, and draws parallels between the findings of the report and the study of British politics. The final section of the article outlines a framework for a British politics of race. The framework draws on critical race theory, and Britain’s imperial history of colonialism and empire-building and thus puts the study of race at the centre of the discipline.
Phase-locked degenerate backward wave optical parametric oscillator
Authors: Mutter Patrick , Zukauskas Andrius , Viotti Anne-Lise , Canalias Carlota , Pasiskevicius Valdas 
Published: January 2023

We report a self-phase-locked and degenerate backward wave optical parametric oscillator (BWOPO) generating a counterpropagating signal and an idler in the spectral band of optical communication. The device is based on a periodically poled Rb-doped KTiOPO4 crystal with a poling period of 433 nm. To the best of our knowledge, this is the shortest quasi-phase matching period reported in the bulk of a ferroelectric crystal. The spectral and coherence properties of the BWOPO at degeneracy are investigated. We observe a single pass conversion efficiency of 40%. At degeneracy, the counterpropagating signal and idler generate phase-matched sum-frequency generation in both directions. We confirm the phase-locked state at degeneracy by interfering the pump with the frequency-doubled backward wave. The phase-locked state is stable during the entire duration of the experiment without active stabilization.
Memory is an interpretive action
Authors: Schiff Brian 
Published: January 2023

Abstract
In this essay, I aim to shore up the epistemological foundations of memory studies so that it can more
productively fulfill its promise to understand the dynamics of shared meaning-making. I argue for theoretical and, hence,
methodological, advancement toward a more precise vocabulary for describing the movement of meaning over time and space and
between persons as they engage with resources and each other in order to fix and revise shared interpretations. Drawing on the
conceptual vocabulary of narrative, I describe some of the central tenets of this “back to the phenomenon” approach to social
memory.
Chromatic aberrations correction of attosecond high-order harmonic beams by flat-top spatial shaping of the fundamental beam
Authors: Veyrinas K , Plach M , Peschel J , Hoflund M , Catoire F , Valentin C , Smorenburg P , Dacasa H , Maclot S , Guo C , Wikmark H , Zaïr A , Strelkov V , Picot C , Arnold C , Eng-Johnsson P , L’Huillier A , Mével E , Constant E 
Published: January 2023

Abstract
Attosecond pulses created by high-order harmonic generation in gases often exhibit strong chromatic aberrations, arising from the broad bandwidth and wavelength-dependent nonlinear light–matter interaction. When the driving laser intensity varies spatially, as for Gaussian driving beams, the apparent source position of the harmonics differs significantly from one order to the next, thus affecting the achievable intensity and duration of the attosecond pulses when they are focused on a target. We show that these chromatic aberrations can be reduced by spatially shaping the fundamental beam to generate high-order harmonics with a driver having a flat-top profile inside the gas medium. By measuring both the intensity profile and wavefront for each harmonic in a plane, we access the extreme ultra-violet (XUV) beam properties and investigate these properties near focus. We observe that controlling chromatic aberrations by flat-top spatial shaping strongly reduces the variation of the XUV spectrum on the beam axis during propagation and, in return, the longitudinal sensitivity of both the temporal profiles and the temporal shifts of the focused attosecond pulses.
Enhancement of second harmonic generation from three layers hybrid dielectric/metal/dielectric nanospheres
Authors: Jafari Neamat A , Bahari Ali 
Published: January 2023

Abstract
Due to the significant linear and nonlinear (NL) optical properties, hybridization of high-index dielectric and plasmonic materials can result in generating NL optical phenomena with high efficiency compared to the individual nanostructures made of these materials. The efficient surface second harmonic generation (SSHG) from three layers Si/Au/Si (SAS) nanospheres are investigated by the finite element method. The resonance wavelengths are determined by the numerical calculation of the linear spectral response. Then, by calculating the SSHG from each interface of the SAS at resonance wavelengths, it is shown that the core surface (the middle interface) has the dominant contribution at shorter (longer) wavelengths to enhance the SSHG. Finally, the total SSHG is compared to individual silicon nanosphere (SNS), which shows enhancing the efficiency of SHG up to 50 times at some resonance wavelength. The results of this work can pave the way for investigating and enhancing the efficiency of nano-photonic devices such as nano-lasers and nano-sensors.