bluuebunny/crossref_metadata_2025_split huggingface dataset:
Housing God, Losing Ground: Protestant and Catholic Chronotopic Ideologies in Urban China
Authors: Yeh Alice 
Published: March 2022

AbstractThis article examines ideologies of chronotopic partibility at two state-affiliated churches in Hangzhou, one Protestant and one Catholic, that emerged in response to the politics of demolition and development. The presence of Christianity in the state imaginary of the modern cityscape has been challenged by urban renovation projects ranging from Zhejiang Province’s 2013–16 cross removal campaign to the construction, beginning in 2018, of a massive commercial complex on land partially expropriated from a Catholic church in Hangzhou. Protestants made sense of cross removals by organizing time, space, and personhood according to qualities associated with the home, separating warmth and sociality (renqingwei’r ) from the buildings in which they are experienced. Catholics protested the city government’s requisition of a part of their “house” by demanding in its place the renqing, or human feeling, mediated by money, that is God’s in perpetuity. Chronotopic partibility or time-space-personhood fracture is both a symptom of dispossession and an ideology that makes possible moral exchange between church and state.
The state of the art of Sb2(S, Se)3 thin film solar cells: current progress and future prospect
Authors: Nicolás-Marín M M , González-Castillo J R , Vigil-Galán O , Courel Maykel 
Published: March 2022

Abstract
In this work, a review focused on the recent development of antimony sulfide selenide (Sb2(S,Se)3) solar cells is presented. In particular, experimental and theoretical results are discussed to understand the current limiting factors of this technology, as well as possible routes for device promotion. The Sb2(S,Se)3 compound is introduced as an attractive compound for single junction and multijunction solar cells since it is described by a band-gap that can be tailored in the range of 1.1–1.8 eV. Furthermore, improved transport properties are observed in solar cells when SnO2:F is used as substrate due to better ribbons orientation. In addition, defect energy levels in the range of 0.49–0.52 eV and 0.69–0.81 eV associated to VSb and SeSb (or SSb), respectively result in carrier lifetime values in the range of 0.1–67 ns. It is demonstrated that, unlike other semiconductor compounds, temperatures lower than 450 °C are required for Sb2(S,Se)3 processing. Moreover, the highest solar cell efficiency of 10.7% has been reported by the hydrothermal method. Although Sb2(S,Se)3 is a stable compound, it is found that there are some instability problems concerning solar cells due to the use of the Spiro-OMeTAD as the hole transport layer. Finally, theoretical results show that interface defects are the main reason for low experimental efficiencies. In particular, losses at the CdS/Sb2(S,Se)3 interface are introduced as dominant. In this sense, the introduction of Zn to the CdS compound is presented as a potential solution, which can result in higher solar cell efficiencies along with the reduction of Cd concentration.
Local proton hopping mechanism in imidazolium-based plastic crystal: an ab initio molecular dynamics study
Authors: Zhang Bohai , Huang Yike , Luo Jiangshui , Li Ailin , Yan Tianying 
Published: March 2022

Abstract
Protic organic ionic plastic crystals (POIPCs) are promising solid-state proton conductor materials in anhydrous proton exchange membrane fuel cells, due to their mechanical flexibility and high ionic conductivity in the plastic crystal phase. In typical POIPCs, the ions are orientationally disordered while the centers of mass are ordered (positional order) like the crystal phase. The local disorder provides more degrees of freedom for the translational and rotational diffusion of ions, thus enhancing proton conduction either via the vehicle mechanism or the Grotthuss mechanism. Yet the local dynamics and the interactions of the cations and anions during the proton transfer process are far from being fully understood. Here, we performed Car–Parrinello molecular dynamics (CPMD) simulation on the imidazolium methanesulfate ([ImH][CH3SO3]) unit cell. By artificially creating one proton hole, we found that a proton can hop directly between the cations. Though the anion is not directly involved in proton hopping, the oxygen atom in the sulfonate group interacts with the proton and has a synergetic motion along with the proton hopping process. This indicates the structural disorder of imidazolium rings and the aid of an anion can facilitate Grotthuss-type proton hopping in imidazolium-based POIPCs.
The Versatile Link+ Demo Board (VLDB+)
Authors: Montesinos D.H. , Baron S. , Guettouche N. , Mendez J. 
Published: March 2022

Abstract
The Versatile Link Plus Demonstrator Board (VLDB+) is a board designed by CERN’s EP-ESE group to provide an evaluation kit for the Versatile Link Plus ecosystem (VL+). This reference design gathers three custom and radiation hard devices, namely, the Low-Power Gigabit Transceiver (lpGBT), the Versatile Link Plus Transceiver (VTRx+) and the FEASTMP DC-DC converters. These components are common to some of the HL-LHC experiments and constitute the main elements of the board. The VLDB+ is already being extensively used by several experiments to get acquainted with the whole ecosystem in order to facilitate their final front-end system design. In this article, all the features of the board together with the external system used for its control are described. Furthermore, a few performance results are shown and a brief status of the project is presented.
Power, readout and service hybrids for the CMS phase-2 upgrade
Authors: Zografos A. , Blanchot G. , Dominguez I.M. , Hollos A.E. , Kovacs M.I. , Rasevic N. 
Published: March 2022

Abstract
The CMS tracker phase-2 upgrade silicon modules integrate DC-DC powering stages and an optical transceiver to power and control the front-end hybrids. The strip-strip (2S) module contains a Service Hybrid (2S-SEH) with two-stage DC-DC power conversion, an lpGBT with optical interface (VTRx+), high voltage biasing and temperature sensor ports. The pixel-strip (PS) module utilizes a separate two stage DC-DC converter circuit (PS-POH) and a Readout Hybrid (PS-ROH) containing the communication interface. The design and performance of these three hybrids and their integration in their respective modules are presented.
Decoupling relationship between economic growth and PM2.5 emissions in the transportation sector in China: regional differences and influencing factors
Authors: Wu Ya , Zhou Yitong , Xu Bin 
Published: March 2022

Abstract
PM2.5 emissions from the transportation sector are a source of haze pollution in China, to which, however, less attention is paid by society. The decoupling relationships between PM2.5 emissions and economic growth from the transportation sector in the eastern, central, and western regions of China from 2010 to 2017 are analyzed by using the Tapio decoupling model. On this basis, in the transportation sector, socioeconomic factors influencing PM2.5 emissions and effective means of controlling PM2.5 emissions are studied by using a logarithmic mean Divisia index model. The results indicate that: (a) in China’s transportation sector, the decoupling relationships of the two aspects in the eastern, central, and western regions show an N-shaped trend, that is, the rate of change in PM2.5 emissions from the transportation sector gradually exceeds that of economic development. The strong decoupling changes into an expansive coupling in the eastern and central regions, while the strong decoupling becomes an expansive negative decoupling in the western region. (b) Economic growth and population growth mainly contribute to the increase of PM2.5 emissions. Improvements of the energy structure and a decrease in transport intensity are the main factors driving a reduction in PM2.5 emissions. (c) Due to regional differences in the ‘rebound effect’ and ‘technological effect’, technological progress has increased PM2.5 emissions from the transportation sector in the central region, while reduced such emissions in the eastern and western regions. This research provides targeted policy reference for regional governance of PM2.5 emissions from the transportation sector.
Sensitivity of headwater streamflow to thawing permafrost and vegetation change in a warming Arctic
Authors: Koch J C , Sjöberg Y , O’Donnell J A , Carey M P , Sullivan P F , Terskaia A 
Published: March 2022

AbstractClimate change has the potential to impact headwater streams in the Arctic by thawing permafrost and subsequently altering hydrologic regimes and vegetation distribution, physiognomy and productivity. Permafrost thaw and increased subsurface flow have been inferred from the chemistry of large rivers, but there is limited empirical evidence of the impacts to headwater streams. Here we demonstrate how changing vegetation cover and soil thaw may alter headwater catchment hydrology using water budgets, stream discharge trends, and chemistry across a gradient of ground temperature in northwestern Alaska. Colder, tundra-dominated catchments shed precipitation through stream discharge, whereas in warmer catchments with greater forest extent, evapotranspiration (ET) and infiltration are substantial fluxes. Forest soils thaw earlier, remain thawed longer, and display seasonal water content declines, consistent with greater ET and infiltration. Streambed infiltration and water chemistry indicate that even minor warming can lead to increased infiltration and subsurface flow. Additional warming, permafrost loss, and vegetation shifts in the Arctic will deliver water back to the atmosphere and to subsurface aquifers in many regions, with the potential to substantially reduce discharge in headwater streams, if not compensated by increasing precipitation. Decreasing discharge in headwater streams will have important implications for aquatic and riparian ecosystems.
Engineering solutions to breath tests based on an e-nose system for silicosis screening and early detection in miners
Authors: Xuan Wufan , Zheng Lina , Bunes Benjamin R , Crane Nichole , Zhou Fubao , Zang Ling 
Published: March 2022

Abstract
This study aims to develop an engineering solution to breath tests using an electronic nose (e-nose), and evaluate its diagnosis accuracy for silicosis. Influencing factors of this technique were explored. 398 non-silicosis miners and 221 silicosis miners were enrolled in this cross-sectional study. Exhaled breath was analyzed by an array of 16 organic nanofiber sensors along with a customized sample processing system. Principal component analysis was used to visualize the breath data, and classifiers were trained by two improved cost-sensitive ensemble algorithms (random forest and extreme gradient boosting) and two classical algorithms (K-nearest neighbor and support vector machine). All subjects were included to train the screening model, and an early detection model was run with silicosis cases in stage I. Both 5-fold cross-validation and external validation were adopted. Difference in classifiers caused by algorithms and subjects was quantified using a two-factor analysis of variance. The association between personal smoking habits and classification was investigated by the chi-square test. Classifiers of ensemble learning performed well in both screening and early detection model, with an accuracy range of 0.817–0.987. Classical classifiers showed relatively worse performance. Besides, the ensemble algorithm type and silicosis cases inclusion had no significant effect on classification (p > 0.05). There was no connection between personal smoking habits and classification accuracy. Breath tests based on an e-nose consisted of 16× sensor array performed well in silicosis screening and early detection. Raw data input showed a more significant effect on classification compared with the algorithm. Personal smoking habits had little impact on models, supporting the applicability of models in large-scale silicosis screening. The e-nose technique and the breath analysis methods reported are expected to provide a quick and accurate screening for silicosis, and extensible for other diseases.
Buckling enhancement of tubular metamaterial with axial zero thermal expansion by integrating two adjustment mechanisms
Authors: Yang Zihao , Zhang Yongcun , Zhang Zonghua , Liu Shutian 
Published: March 2022

Abstract
Artificially designed mechanical metamaterials with desired property of zero thermal expansion (ZTE) have already made great progress motived by the urgent needs of high-end equipment and instruments served in large fluctuating temperature environment. Various thermal expansion adjustment mechanisms are developed to achieve controllable thermal deformation. However, only designing ZTE is not normally sufficient, but must be combined with enough mechanical performances for carrying mechanical loads. Hence in this study, a method of bucking enhancement for designing tubular metamaterials with axial ZTE is firstly proposed by integrating two existing adjustment mechanisms. Compared with the previous design under the single Poisson contraction mechanism, the present axial ZTE property is mainly achieved through thermally bending-adjustment mechanism, and therefore avoid the unfeasibility of requiring too large thermal expansion coefficient difference for constituent materials. Meanwhile, the significant buckling capacity loss caused by the introduced initial curvature used for triggering thermally bending-adjustment mechanism is prominently improved by taking the advantage of Poisson contraction mechanism. The results obtained from detailed numerical simulations verify the design targets of simultaneous axial ZTE and buckling enhancement. The proposed design strategy of mechanism combination is also proved effective to enhance the buckling capacity of present dual-mechanism metamaterial without obvious increase of structural mass.
Optical band gap, photocatalysis, surface structures and depth profile properties of Cu2Se nanostructured thin films
Authors: Ghobadi Nader , Hatam Ebrahim Gholami 
Published: March 2022

Abstract
The optical behaviour, stoichiometry, surface configuration of Cu2Se nanostructured thin layers prepared at different reaction times by the chemical process has been considered. The optical band gap of the deposited thin films decreases from 2.92 eV to 2.08 eV for the first transition and from 2.18 to 1.2 eV for the second transition. In addition, it was shown that Urbach energy is independent from the film thickness, and tail values of the localized states has decreased from 1.15 to 0.33 eV. It was found that the concentration of Cu: Se remains approximately constant across the depth of the deposited film at higher deposition time. The degradation efficiency of 98% was achieved by Congo red for the prepared Cu2Se thin film at optimal condition which make it a good candidate for organic dye. From these measurements and by controlling the band gap energy, the Cu2Se can find application in solar cell application.
Roll-to-roll fabrication of large-scale polyorgansiloxane thin film with high flexibility and ultra-efficient atomic oxygen resistance
Authors: LI Yi , LI Zhonghua , LI Detian , HE Yanchun , CAO Shengzhu , WANG Hu , GAO Hengjiao , HU Hanjun , HE Ying , WANG Yuan , ZHU Jun 
Published: March 2022

Abstract
One of the most widely used and well-established atomic oxygen (AO) protection solutions for low Earth orbit (LEO) satellites is the deposition of protective coatings on polymeric materials. However, manufacturing extensive expanses of these coating materials with good transparency, flexibility, smoothness, ultra-thinness, and exceptional AO resistance remains a critical issue. Herein, we successfully deposited a 400 nm thick polyorgansiloxane (SiO
x
C
y
H
z
) coating with high optical transparency and uniform good adherence on to a 1.2 m wide polyimide surface, by optimizing the distribution of hexamethyldisiloxane and oxygen as precursors in the roll-to-roll compatible plasma-enhanced chemical vapor deposition process. After AO irradiation with the fluence of 7.9 × 1020 atoms·cm–2, the erosion yield of the SiO
x
C
y
H
z
-coated Kapton was less than 2.30 × 10–26 cm3·atom–1, which was less than 0.77% of that of the Kapton. It indicates that the SiO
x
C
y
H
z
coating can well prevent the erosion of Kapton by AO. In addition, it was also clarified that a SiO2 passivation layer was formed on the surface of the SiO
x
C
y
H
z
coating during AO irradiation, which exhibited a ‘self-reinforcing’ defense mechanism. The entire preparation process of the SiO
x
C
y
H
z
coating was highly efficient and low-cost, and it has shown great potential for applications in LEO.
‘Pedigrees in the Ownership of Law Books’: Lawyers’ Networks, Celebrity, and the Importance of Provenance in Nineteenth-Century Law Texts1
Authors: Hoeflich Michael 
Published: March 2022

Abstract
This article looks at the multiple uses that may be made of provenance marks in law books. The article examines the importance of prior ownership in nineteenth-century law books based on a survey of representative extant private and institutional library and booksellers’ catalogues from the period. It uses this data to understand the importance that contemporary lawyers put on volumes with provenance marks and how the trade in these volumes helps historians to understand the legal ‘republic of letters’ in the nineteenth-century American Bar.
Preoperative Risk Factors and Complication Rates of Breast Augmentation With Fat Grafting
Authors: Nguyen Lyly , Afshari Ashkan , Grotting James C , Perdikis Galen , Kye Higdon K 
Published: March 2022

Abstract

Background
The current literature on the complications and risk factors of autologous fat grafting (AFG) for breast augmentation is scant and inconclusive.

Objectives
The aim of this study was to use a large, multicenter database to determine the major complications and risk factors of patients undergoing breast augmentation with AFG in comparison to breast augmentation with implants.

Methods
Patients undergoing breast augmentation with AFG as well as with implants between January 2, 2017 and July 31, 2019 were identified from the CosmetAssure database (Birmingham, AL). The primary outcome was the occurrence of major complication(s) requiring emergency department visit, hospital admission, or reoperation within 45 days postoperatively. Age, gender, BMI, smoking, diabetes, facility, ASA class, and anesthetic type were evaluated as risk factors.

Results
Among the 76,128 patients enrolled in CosmetAssure, 789 (1.0%) underwent breast augmentation with AFG, in comparison to 18,544 (24.3%) patients with implants. The incidence of any major complication in the AFG cohort and implant cohort was 3.2% and 2.3%, respectively. Infection was significantly higher in the AFG cohort (1.1% vs 0.5%). Tobacco users were more likely to have any complication, infection, and pulmonary dysfunction/hypoxia on univariate analysis. ASA Class III/IV was more likely to have any complication and infection. On multivariate analysis, smoking was an independent risk factor for any complication (relative risk = 17.1) and infection (relative risk = 20.2).

Conclusions
Infection and hematoma are the most common major complications in breast augmentation with AFG. Tobacco use is the only independent risk factor for overall complications and infection. Breast augmentation with AFG has a higher infection rate than augmentation with implants.

Level of Evidence: 4
S2Snet: deep learning for low molecular weight RNA identification with nanopore
Authors: Guan Xiaoyu , Wang Yuqin , Shao Wei , Li Zhongnian , Huang Shuo , Zhang Daoqiang 
Published: March 2022

Abstract
Ribonucleic acid (RNA) is a pivotal nucleic acid that plays a crucial role in regulating many biological activities. Recently, one study utilized a machine learning algorithm to automatically classify RNA structural events generated by a Mycobacterium smegmatis porin A nanopore trap. Although it can achieve desirable classification results, compared with deep learning (DL) methods, this classic machine learning requires domain knowledge to manually extract features, which is sophisticated, labor-intensive and time-consuming. Meanwhile, the generated original RNA structural events are not strictly equal in length, which is incompatible with the input requirements of DL models. To alleviate this issue, we propose a sequence-to-sequence (S2S) module that transforms the unequal length sequence (UELS) to the equal length sequence. Furthermore, to automatically extract features from the RNA structural events, we propose a sequence-to-sequence neural network based on DL. In addition, we add an attention mechanism to capture vital information for classification, such as dwell time and blockage amplitude. Through quantitative and qualitative analysis, the experimental results have achieved about a 2% performance increase (accuracy) compared to the previous method. The proposed method can also be applied to other nanopore platforms, such as the famous Oxford nanopore. It is worth noting that the proposed method is not only aimed at pursuing state-of-the-art performance but also provides an overall idea to process nanopore data with UELS.
CAMOIP: a web server for comprehensive analysis on multi-omics of immunotherapy in pan-cancer
Authors: Lin Anqi , Qi Chang , Wei Ting , Li Mengyao , Cheng Quan , Liu Zaoqu , Luo Peng , Zhang Jian 
Published: March 2022

AbstractImmune checkpoint inhibitors (ICIs) have completely changed the approach pertaining to tumor diagnostics and treatment. Similarly, immunotherapy has also provided much needed data about mutation, expression and prognosis, affording an unprecedented opportunity for discovering candidate drug targets and screening for immunotherapy-relevant biomarkers. Although existing web tools enable biologists to analyze the expression, mutation and prognostic data of tumors, they are currently unable to facilitate data mining and mechanism analyses specifically related to immunotherapy. Thus, we effectively developed our own web-based tool, called Comprehensive Analysis on Multi-Omics of Immunotherapy in Pan-cancer (CAMOIP), in which we are able to successfully screen various prognostic markers and analyze the mechanisms involved in biomarker expression and function, as well as immunotherapy. The analyses include information relevant to survival analysis, expression analysis, mutational landscape analysis, immune infiltration analysis, immunogenicity analysis and pathway enrichment analysis. This comprehensive analysis of biomarkers for immunotherapy can be carried out by a click of CAMOIP, and the software should greatly encourage the further development of immunotherapy. CAMOIP provides invaluable evidence that bridges the information between the data of cancer genomics based on immunotherapy, providing comprehensive information to users and assisting in making the value of current ICI-treated data available to all users. CAMOIP is available at https://www.camoip.net.