bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable high yield exfoliation for monolayer nanosheets
Authors: Wang Zhuyuan , Yan Xue , Hou Qinfu , Liu Yue , Zeng Xiangkang , Kang Yuan , Zhao Wang , Li Xuefeng , Yuan Shi , Qiu Ruosang , Uddin Md Hemayet , Wang Ruoxin , Xia Yun , Jian Meipeng , Kang Yan , Gao Li , Liang Songmiao , Liu Jefferson Zhe , Wang Huanting , Zhang Xiwang 
Published: January 2023

AbstractAlthough two-dimensional (2D) materials have grown into an extended family that accommodates hundreds of members and have demonstrated promising advantages in many fields, their practical applications are still hindered by the lack of scalable high-yield production of monolayer products. Here, we show that scalable production of monolayer nanosheets can be achieved by a facile ball-milling exfoliation method with the assistance of viscous polyethyleneimine (PEI) liquid. As a demonstration, graphite is effectively exfoliated into graphene nanosheets, achieving a high monolayer percentage of 97.9% at a yield of 78.3%. The universality of this technique is also proven by successfully exfoliating other types of representative layered materials with different structures, such as carbon nitride, covalent organic framework, zeolitic imidazolate framework and hexagonal boron nitride. This scalable exfoliation technique for monolayer nanosheets could catalyze the synthesis and industrialization of 2D nanosheet materials.
Rapidly shifting immunologic landscape and severity of SARS-CoV-2 in the Omicron era in South Africa
Authors: Sun Kaiyuan , Tempia Stefano , Kleynhans Jackie , von Gottberg Anne , McMorrow Meredith L. , Wolter Nicole , Bhiman Jinal N. , Moyes Jocelyn , Carrim Maimuna , Martinson Neil A. , Kahn Kathleen , Lebina Limakatso , du Toit Jacques D. , Mkhencele Thulisa , Viboud Cécile , Cohen Cheryl ,   the PHIRST-C group, Buys Amelia , de Gouveia Linda , du Plessis Mignon , Gómez-Olivé Francesc Xavier , Kgasago Kgaugelo Patricia , Kotane Retshidisitswe , Moloantoa Tumelo , Tollman Stephen , Wafawanaka Floidy 
Published: January 2023

AbstractSouth Africa was among the first countries to detect the SARS-CoV-2 Omicron variant. However, the size of its Omicron BA.1 and BA.2 subvariants (BA.1/2) wave remains poorly understood. We analyzed sequential serum samples collected through a prospective cohort study before, during, and after the Omicron BA.1/2 wave to infer infection rates and monitor changes in the immune histories of participants over time. We found that the Omicron BA.1/2 wave infected more than half of the cohort population, with reinfections and vaccine breakthroughs accounting for > 60% of all infections in both rural and urban sites. After the Omicron BA.1/2 wave, we found few (< 6%) remained naïve to SARS-CoV-2 and the population immunologic landscape is fragmented with diverse infection/immunization histories. Prior infection with the ancestral strain, Beta, and Delta variants provided 13%, 34%, and 51% protection against Omicron BA.1/2 infection, respectively. Hybrid immunity and repeated prior infections reduced the risks of Omicron BA.1/2 infection by 60% and 85% respectively. Our study sheds light on a rapidly shifting landscape of population immunity in the Omicron era and provides context for anticipating the long-term circulation of SARS-CoV-2 in populations no longer naïve to the virus.
The metabolite alpha-ketobutyrate extends lifespan by promoting peroxisomal function in C. elegans
Authors: Wu Nan , Ma Yi-Cheng , Gong Xin-Qian , Zhao Pei-Ji , Jia Yong-Jian , Zhao Qiu , Duan Jia-Hong , Zou Cheng-Gang 
Published: January 2023

AbstractMetabolism is intimately linked to aging. There is a growing number of studies showing that endogenous metabolites may delay aging and improve healthspan. Through the analysis of existing transcriptome data, we discover a link between activation of the transsulfuration pathway and a transcriptional program involved in peroxisome function and biogenesis in long-lived glp-1(e2141ts) mutant Caenorhabditis elegans worms. Subsequently, we show that supplementation with α-ketobutyrate, an intermediate of the transsulfuration pathway, extends lifespan in wild-type worms. Alpha-ketobutyrate augments the production of NAD+ via the lactate dehydrogenase LDH-1, leading to SIR-2.1/SIRT1-mediated enhanced peroxisome function and biogenesis, along with a concomitant increase in the expression of acox-1.2/ACOX1 in the peroxisomal fatty acid β-oxidation pathway. ACOX-1.2/ACOX1 promotes H2O2 formation, thereby resulting in activation of SKN-1/NRF2. This transcription factor in turn extends the lifespan of worms by driving expression of autophagic and lysosomal genes. Finally, we show that α-ketobutyrate also delays the cellular senescence in fibroblast cells through the SIRT1-ACOX1-H2O2-NRF2 pathway. This finding uncovers a previously unknown role for α-ketobutyrate in organismal lifespan and healthspan by coordinating the NAD+-SIRT1 signaling and peroxisomal function.
3D printing of thermosets with diverse rheological and functional applicabilities
Authors: Sun Yuxuan , Wang Liu , Ni Yangyang , Zhang Huajian , Cui Xiang , Li Jiahao , Zhu Yinbo , Liu Ji , Zhang Shiwu , Chen Yong , Li Mujun 
Published: January 2023

AbstractThermosets such as silicone are ubiquitous. However, existing manufacturing of thermosets involves either a prolonged manufacturing cycle (e.g., reaction injection molding), low geometric complexity (e.g., casting), or limited processable materials (e.g., frontal polymerization). Here, we report an in situ dual heating (ISDH) strategy for the rapid 3D printing of thermosets with complex structures and diverse rheological properties by incorporating direct ink writing (DIW) technique and a heating-accelerated in situ gelation mechanism. Enabled by an integrated Joule heater at the printhead, extruded thermosetting inks can quickly cure in situ, allowing for DIW of various thermosets with viscosities spanning five orders of magnitude, printed height over 100 mm, and high resolution of 50 μm. We further demonstrate DIW of a set of heterogenous thermosets using multiple functional materials and present a hybrid printing of a multilayer soft electronic circuit. Our ISDH strategy paves the way for fast manufacturing of thermosets for various emerging fields.
Development of a BIM-based bridge maintenance system (BMS) for managing defect data
Authors: Li Sai , Zhang Zhongjian , Lin Daming , Zhang Tongrui , Han Lu 
Published: January 2023

AbstractBridges might experience many defects during use, such as pavement cracks and reinforcement corrosion, which easily produce an accumulated impact that threatens bridge safety. Thus, there is a need for the regular inspection and maintenance of bridges. This paper presents a bridge maintenance system (BMS) based on building information modelling (BIM), which is utilized in bridge defect information management using a digitalization method. A bridge defect three-dimensional BIM (BIM3D) library is established and combined with a bridge model to visualize bridge defect conditions. Based on bridge inspection data, bridge defect information is digitally classified and encoded according to the international framework for dictionaries (IFD) standard and used to establish a database. An evaluation of bridge technical conditions is performed, and the results are graded and displayed in different colours, reflecting the visualization function of BIM technology. Maintenance suggestions are provided according to the range of bridge technical condition scores, reflecting the informatization function of BIM technology. With the Xinjiang Cocodala Bridge in China as a case study, a bridge BIM3D model and inspection data are imported into the BMS to utilize the functions of ‘visualization of bridge defect conditions’, ‘evaluation of bridge technical conditions’ and ‘recommendations of bridge maintenance methods'.
Predictors for metamorphopsia in eyes undergoing macular hole surgery
Authors: Takeyama Asuka , Imamura Yutaka , Fujimoto Taichi , Iida Toshiya , Komiya Yuko , Shibata Masaki , Ishida Masahiro 
Published: January 2023

AbstractMetamorphopsia is an important visual symptom of macular disease. We determined predictors for metamorphopsia investigating the relationships of macular hole (MH) diameter and retinal layer thicknesses with metamorphopsia after MH surgery. Forty-two eyes of 42 consecutive patients undergoing MH surgery were retrospectively studied. Metamorphopsia was measured with M-CHARTS. Inner nuclear layer (INL) and outer retinal layer (OR) thicknesses were measured 1000 μm away from central fovea at using Spectralis. Preoperative M-CHARTS scores correlated with MH diameters (P = 0.007–0.031) and changes of temporal OR thickness (P = 0.008–0.010). Postoperative M-CHARTS score at 3 months correlated with preoperative nasal and inferior OR thicknesses (P = 0.003 and 0.016) and with changes of superior INL at 3 and 6 months (P = 0.011 and 0.025), and score at 1 month with change of temporal OR at 6 months (P = 0.033). Postoperative improvement of M-CHARTS scores correlated with changes of temporal INL and superior OR (P = 0.026 and 0.002). Multiple regression analysis revealed that MH diameter was a significant predictor for metamorphopsia. Photoreceptor displacement and inner retinal change may generate metamorphopsia in MH undergoing surgery, however MH diameter is the most powerful predictor.
The putative transporter MtUMAMIT14 participates in nodule formation in Medicago truncatula
Authors: Garcia Kevin , Cloghessy Kaylee , Cooney Danielle R. , Shelley Brett , Chakraborty Sanhita , Kafle Arjun , Busidan Aymeric , Sonawala Unnati , Collier Ray , Jayaraman Dhileepkumar , Ané Jean-Michel , Pilot Guillaume 
Published: January 2023

AbstractTransport systems are crucial in many plant processes, including plant–microbe interactions. Nodule formation and function in legumes involve the expression and regulation of multiple transport proteins, and many are still uncharacterized, particularly for nitrogen transport. Amino acids originating from the nitrogen-fixing process are an essential form of nitrogen for legumes. This work evaluates the role of MtN21 (henceforth MtUMAMIT14), a putative transport system from the MtN21/EamA-like/UMAMIT family, in nodule formation and nitrogen fixation in Medicago truncatula. To dissect this transporter’s role, we assessed the expression of MtUMAMIT14 using GUS staining, localized the corresponding protein in M. truncatula root and tobacco leaf cells, and investigated two independent MtUMAMIT14 mutant lines. Our results indicate that MtUMAMIT14 is localized in endosomal structures and is expressed in both the infection zone and interzone of nodules. Comparison of mutant and wild-type M. truncatula indicates MtUMAMIT14, the expression of which is dependent on the presence of NIN, DNF1, and DNF2, plays a role in nodule formation and nitrogen-fixation. While the function of the transporter is still unclear, our results connect root nodule nitrogen fixation in legumes with the UMAMIT family.
Geometric deep learning reveals the spatiotemporal features of microscopic motion
Authors: Pineda Jesús , Midtvedt Benjamin , Bachimanchi Harshith , Noé Sergio , Midtvedt Daniel , Volpe Giovanni , Manzo Carlo 
Published: January 2023

AbstractThe characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to biological functions. Owing to recent advances in microscopy techniques, it is now possible to routinely record the motion of cells, organelles and individual molecules at multiple spatiotemporal scales in physiological conditions. However, the automated analysis of dynamics occurring in crowded and complex environments still lags behind the acquisition of microscopic image sequences. Here we present a framework based on geometric deep learning that achieves the accurate estimation of dynamical properties in various biologically relevant scenarios. This deep-learning approach relies on a graph neural network enhanced by attention-based components. By processing object features with geometric priors, the network is capable of performing multiple tasks, from linking coordinates into trajectories to inferring local and global dynamic properties. We demonstrate the flexibility and reliability of this approach by applying it to real and simulated data corresponding to a broad range of biological experiments.
Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts
Authors: Berg Luecke Linda , Waas Matthew , Littrell Jack , Wojtkiewicz Melinda , Castro Chase , Burkovetskaya Maria , Schuette Erin N. , Buchberger Amanda Rae , Churko Jared M. , Chalise Upendra , Waknitz Michelle , Konfrst Shelby , Teuben Roald , Morrissette-McAlmon Justin , Mahr Claudius , Anderson Daniel R. , Boheler Kenneth R. , Gundry Rebekah L. 
Published: January 2023

AbstractCardiac cell surface proteins are drug targets and useful biomarkers for discriminating among cellular phenotypes and disease states. Here we developed an analytical platform, CellSurfer, that enables quantitative cell surface proteome (surfaceome) profiling of cells present in limited quantities, and we apply it to isolated primary human heart cells. We report experimental evidence of surface localization and extracellular domains for 1,144 N-glycoproteins, including cell-type-restricted and region-restricted glycoproteins. We identified a surface protein specific for healthy cardiomyocytes, LSMEM2, and validated an anti-LSMEM2 monoclonal antibody for flow cytometry and imaging. Surfaceome comparisons among pluripotent stem cell derivatives and their primary counterparts highlighted important differences with direct implications for drug screening and disease modeling. Finally, 20% of cell surface proteins, including LSMEM2, were differentially abundant between failing and non-failing cardiomyocytes. These results represent a rich resource to advance development of cell type and organ-specific targets for drug delivery, disease modeling, immunophenotyping and in vivo imaging
La deuxième École Balte de Neuromyologie
Authors: Andoni Urtizberea J. , Malfatti Edoardo , Carlier Pierre G. 
Published: January 2023

La deuxième édition de l’École Balte de Neuromyologie s’est tenue du 26 au 27 août 2022 à Riga (Lettonie) dans une ambiance un peu particulière étant donné la situation internationale. Ce fut l’occasion pour les auteurs de mesurer le chemin parcouru par leurs homologues baltes tant dans le domaine du diagnostic que celui de la prise en charge des maladies neuromusculaires. Cette entreprise difficile mais couronnée de succès a conduit à l’intégration de trois centres de référence neuromusculaire baltes au sein de l’ERN (réseau européen des maladies rares) Euro-NMD. Au-delà de cette forme de consécration, et même si beaucoup reste à faire, au niveau de l’histopathologie musculaire notamment, les différentes équipes baltes ont présenté des travaux de recherche clinique tout à fait remarquables et utiles à l’ensemble de la communauté myologique.
A Review of Coronavirus Disease 2019 in Pregnancy
Authors: Zamparini Jarrod , Saggers Robin , Buga Chandia Edward 
Published: January 2023

AbstractPregnancy is an independent risk factor for morbidity and mortality in coronavirus disease 2019 (COVID-19) with increased rates of operative delivery, intensive care unit admission, and mechanical ventilation as well as a possible increased risk of death, independent of other risk factors, compared with nonpregnant women with COVID-19. Furthermore, pregnancy outcomes are worse in those with COVID-19 with increased risk for preeclampsia, venous thromboembolism, preterm birth, miscarriage, and stillbirth compared with pregnant women without COVID-19. Importantly, pregnant women of nonwhite ethnicity appear to be at greater risk of severe COVID-19, necessitating improved access to care and closer monitoring in these women. The management of COVID-19 in pregnancy is largely similar to that in nonpregnant people; however, there is an important emphasis on multidisciplinary team involvement to ensure favorable outcomes in both mother and baby. Similarly, vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is safe in pregnancy and improves maternal and neonatal outcomes.
Characterization of Polyvinyl Alcohol–Collagen–Hydroxyapatite Composite Membrane from
Lates calcarifer
Scales for Guided Tissue and Bone Regeneration
Authors: Ariesanti Yessy , Octavianus Putri Graesya Melani , Handayani Annisa Tri , Abbas Basril 
Published: January 2023

Abstract
Objective To determine the chemical structure, tensile strength, porosity, and degradability of polyvinyl alcohol (PVA)–collagen–hydroxyapatite (HA) composite membranes for guided tissue and bone regeneration.
Materials and Methods The PVA–collagen–HA composite membrane was divided into three groups: the group without irradiation, the group with 15 kGy irradiation, and 25 kGy irradiation. Each group was tested for chemical structure with Fourier-transform infrared (FT-IR) at a wavelength of 400 to 4,000 cm−1. Tensile strength test was tested in dry and wet conditions with the standard method of American Standard Testing Mechanical (ASTM) D638, and porosity using scanning electron microscope and analyzed using ImageJ software. Degradability test immersed in a solution of phosphate-buffered saline. Data were analyzed using analysis of variance (ANOVA) and Tukey's test.
Results FT-IR test before and after storage for 30 days on three media showed a stable chemical structure with the same functional groups. ANOVA analysis showed a significant difference (p < 0.05) in the dry condition (p = 0.006), Tukey's test showed a significant difference in the 15 kGy and 25 kGy irradiated groups (p = 0.005), but the groups without irradiation had no significant difference with the 15 kGy (p = 0.285) and 25 kGy (p = 0.079) irradiation groups. In wet conditions, there was no significant difference (p > 0.05) in each group (p = 373). The size of the porosity in the group without irradiation, 15 kGy irradiation, and 25 kGy irradiation showed a size of 4.65, 6.51, and 8.08 m, respectively. The degradability test showed a decrease in weight in each group, with the total weight of the membrane being completely degraded from the most degraded to the least: the groups without irradiation, 15 kGy irradiation, and 25 kGy irradiation. The ANOVA test on the degradability test shows significant (p < 0.05) in the PVA–collagen–HA composite membrane group over time intervals (p = 0.000). Tukey's post hoc test showed a significant difference (p < 0.05) after 1 week between the groups without irradiation with 15 kGy (p = 0.023).
Conclusion PVA–collagen–HA composite membrane has a stable chemical structure, optimal tensile strength, porosity, and ideal degradability as guided bone regeneration and guided tissue regeneration.
Informal work, informal mobilisation? The lateral paths of health volunteers in Senegal
Authors: Diallo Abdoulaye Moussa 
Published: January 2023

ABSTRACT
Community health workers (CHWs) are neither a profession nor a volunteer group, but a hybrid professional group, receiving modest allowances that vary according to the reference authority (states or non-governmental organisations). Their identities are manifold, depending on whether their work brings them closer to the hospital, the population, or the municipality. Sometimes loyalist, sometimes rebel, CHWs oscillate between municipal clientelism (to gain access to employment) and illegal practices (surreptitiously selling medicines or even conducting clandestine abortions). It is such empowerment and professional frustration that justifies their organisation to preserve their activity. It goes from the creation of associations to negotiate with public authorities, via more radical mobilisations in parallel, up to protest, boycotts of health campaigns, or sit-ins for improved status.
Validation of gas flow experiments for porous media by means of computer simulations
Authors: Laddha Sunny , Macher Wolfgang , Kargl Günter , Zivithal Stephan , Blum Jürgen , Gundlach Bastian , Güttler Carsten , Sierks Holger , Rose Martin 
Published: January 2023

Abstract
A profound understanding of gas flow in porous media is of great interest for various technological and scientific fields. Its investigation by laboratory measurements, however, poses several challenges. In particular, the determination of macroscopic flow parameters from pressure and gas flow measurements is prone to various error influences, some of which are very difficult to analyze experimentally. Computer simulations are a solution in this context as they facilitate modifications of the underlying geometry and boundary conditions in a flexible way. Here we present a simulation framework for the analysis of a recent experiment for determining the Knudsen diffusion coefficient and viscous permeability of various porous granular materials. By combining the finite element method with analytical models and other numerical methods, we were able to identify previously neglected physical effects that increase the uncertainty of the measurements. In particular, the porosity increase due to finite sample dimensions, in a layer of about a grain diameter thickness near the container wall, creates a deviation of the measured pressure gradient. This deviation amounts to ca. 5% for a sample width of about 100 grains and a porosity of 0.5, and is indirectly proportional to the porosity. The second most prominent error source, the sample support sieve, causes a slight constriction of the flow volume. Simulations of this effect show an error around 4%–7%, dependent on the grain size. Based on these findings we recommend an overall sample dimension of 100 grains or larger. As an example of failures of the sample homogeneity, we elaborate how channels through the sample influence the flow properties. Respective suggestions for keeping all discussed effects negligible are discussed in detail. Our methodology demonstrates how the combination of finite element computations with analytical representations of the involved macroscopic parameters can assess the validity and accuracy of laboratory experiments.
Three-dimensional force detection using PVDF and room temperature-vulcanized silicone rubber layers
Authors: Wang Zhihua , Zhang Duanshuai , Yang Li , An Jinlong 
Published: January 2023

Abstract
Three-dimensional force perception plays an extremely important role in human-computer interaction. The main objective of the present study is to propose a three-dimensional force detection sensor using room temperature-vulcanized silicone rubber, polyvinylidene fluoride (PVDF), and a silver coating layer. The sensor was designed in a cylindrical structure to detect the tangential force. The performed analyses reveal that the silver coating layer improves the surface charge output of the PVDF film. The output peak voltage of the sensing unit is 271.7% higher than that of the single PVDF film. The sensor has a response time of 40 ms. It is found that the angle detection error of the sensor along horizontal and vertical directions is less than 2.79° and 0.88°, respectively. In order to evaluate the performance of the proposed sensor, it is fixed on the mechanical hand to perform grasping and sliding tests. The tested results show that the proposed sensor can effectively identify the weight and slip of the object, and can be used in the field of manipulator clamping control.