bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socio-economic inequalities in the consumption of fruits and vegetables in Peru between 2014 and 2019
Authors: Hernández-Vásquez Akram , Visconti Lopez Fabriccio J , Vargas-Fernández Rodrigo 
Published: September 2022

AbstractObjective:To estimate the prevalence and socio-economic inequalities in adequate consumption of fruits and vegetables in Peru between 2014 and 2019.Design:Analytical cross-sectional study. The outcome variable was adequate consumption of fruits and vegetables, defined as the consumption of five or more servings of fruits and vegetables per d (yes/no). We used concentration curves and Erreygers concentration index to describe socio-economic inequalities and a microeconometric approach to determine the contribution of each variable to inequality.Setting:Peru.Participants:Data from Peruvians aged 18 years or older collected by the Demographic and Family Health Survey.Results:The prevalence of adequate fruit and vegetable consumption did not change between 2014 (10·7 %; 95 % CI (10·0, 11·4)) and 2019 (11 %; 95 % CI (10·4, 11·7)). We found socio-economic inequalities in the adequate consumption of fruits and vegetables, with wealthier individuals having a higher prevalence of adequate consumption compared to poorer individuals in 2014 (19·2 %v. 3·5 %) and 2019 (18·6 %v. 4·7 %). The decomposition analysis found that education, urban areas and being wealthy were the main factors associated with socio-economic inequality in adequate fruit and vegetable consumption, being structural problems of society.Conclusion:Despite the current regulations on healthy eating in Peru, adequate consumption of fruits and vegetables remains low, and there are socio-economic inequalities between the poorest and wealthiest individuals. Our findings suggest that more efforts are needed to increase the intake and assess the disparities in adequate fruit and vegetable consumption.
Analysis of Interpretable Data Representations for 4D-STEM Using Unsupervised Learning
Authors: Bruefach Alexandra , Ophus Colin , Scott Mary C 
Published: September 2022

Abstract
Understanding the structure of materials is crucial for engineering devices and materials with enhanced performance. Four-dimensional scanning transmission electron microscopy (4D-STEM) is capable of mapping nanometer-scale local crystallographic structure over micron-scale field of views. However, 4D-STEM datasets can contain tens of thousands of images from a wide variety of material structures, making it difficult to automate detection and classification of structures. Traditional automated analysis pipelines for 4D-STEM focus on supervised approaches, which require prior knowledge of the material structure and cannot describe anomalous or deviant structures. In this article, a pipeline for engineering 4D-STEM feature representations for unsupervised clustering using non-negative matrix factorization (NMF) is introduced. Each feature is evaluated using NMF and results are presented for both simulated and experimental data. It is shown that some data representations more reliably identify overlapping grains. Additionally, real space refinement is applied to identify spatially distinct sample regions, allowing for size and shape analysis to be performed. This work lays the foundation for improved analysis of nanoscale structural features in materials that deviate from expected crystallographic arrangement using 4D-STEM.
On the adapting function of social institutions
Authors: Lascaux Alexander 
Published: September 2022

AbstractIn this paper, I introduce an important dynamic function performed by social institutions, which consists in helping individual actors to adapt to significant changes taking place in their environment. This adapting function is juxtaposed against the statically-oriented properties of institutions, which comprise their enabling, constraining, and orienting functions. I explicate the three major adapting roles of social institutions, which correspond to the cognitive, normative, and regulatory institutional elements, and explore the nine principal mechanisms by which social institutions can accelerate the adaptation processes. I examine the main outcomes of the adaptation processes supported by social institutions, as well as the key enablers and barriers to successful adaptation. I present a co-evolutionary model of adaptive dynamics involving individuals, institutions, and the broader external environment, and discuss the major implications of the proposed framework.
Structural basis of a two-antibody cocktail exhibiting highly potent and broadly neutralizing activities against SARS-CoV-2 variants including diverse Omicron sublineages
Authors: Li Xiaoman , Pan Yongbing , Yin Qiangling , Wang Zejun , Shan Sisi , Zhang Laixing , Yu Jinfang , Qu Yuanyuan , Sun Lina , Gui Fang , Lu Jia , Jing Zhaofei , Wu Wei , Huang Tao , Shi Xuanling , Li Jiandong , Li Xinguo , Li Dexin , Wang Shiwen , Yang Maojun , Zhang Linqi , Duan Kai , Liang Mifang , Yang Xiaoming , Wang Xinquan 
Published: September 2022

AbstractThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs), especially the latest Omicron, have exhibited severe antibody evasion. Broadly neutralizing antibodies with high potency against Omicron are urgently needed for understanding the working mechanisms and developing therapeutic agents. In this study, we characterized the previously reported F61, which was isolated from convalescent patients infected with prototype SARS-CoV-2, as a broadly neutralizing antibody against all VOCs including Omicron BA.1, BA.1.1, BA.2, BA.3 and BA.4 sublineages by utilizing antigen binding and cell infection assays. We also identified and characterized another broadly neutralizing antibody D2 with epitope distinct from that of F61. More importantly, we showed that a combination of F61 with D2 exhibited synergy in neutralization and protecting mice from SARS-CoV-2 Delta and Omicron BA.1 variants. Cryo-Electron Microscopy (Cryo-EM) structures of the spike-F61 and spike-D2 binary complexes revealed the distinct epitopes of F61 and D2 at atomic level and the structural basis for neutralization. Cryo-EM structure of the Omicron-spike-F61-D2 ternary complex provides further structural insights into the synergy between F61 and D2. These results collectively indicated F61 and F61-D2 cocktail as promising therapeutic antibodies for combating SARS-CoV-2 variants including diverse Omicron sublineages.
Fluorescence-based thermal sensing with elastic organic crystals
Authors: Di Qi , Li Liang , Miao Xiaodan , Lan Linfeng , Yu Xu , Liu Bin , Yi Yuanping , Naumov Panče , Zhang Hongyu 
Published: September 2022

AbstractOperation of temperature sensors over extended temperature ranges, and particularly in extreme conditions, poses challenges with both the mechanical integrity of the sensing material and the operational range of the sensor. With an emissive bendable organic crystalline material, here we propose that organic crystals can be used as mechanically robust and compliant fluorescence-based thermal sensors with wide range of temperature coverage and complete retention of mechanical elasticity. The exemplary material described remains elastically bendable and shows highly linear correlation with the emission wavelength and intensity between 77 K to 277 K, while it also transduces its own fluorescence in active waveguiding mode. This universal new approach expands the materials available for optical thermal sensing to a vast number of organic crystals as a new class of engineering materials and opens opportunities for the design of lightweight, organic fluorescence-based thermal sensors that can operate under extreme temperature conditions such as are the ones that will be encountered in future space exploration missions.
Electrocatalytic hydrogenation of quinolines with water over a fluorine-modified cobalt catalyst
Authors: Guo Shuoshuo , Wu Yongmeng , Wang Changhong , Gao Ying , Li Mengyang , Zhang Bin , Liu Cuibo 
Published: September 2022

AbstractRoom temperature and selective hydrogenation of quinolines to 1,2,3,4-tetrahydroquinolines using a safe and clean hydrogen donor catalyzed by cost-effective materials is significant yet challenging because of the difficult activation of quinolines and H2. Here, a fluorine-modified cobalt catalyst is synthesized via electroreduction of a Co(OH)F precursor that exhibits high activity for electrocatalytic hydrogenation of quinolines by using H2O as the hydrogen source to produce 1,2,3,4-tetrahydroquinolines with up to 99% selectivity and 94% isolated yield under ambient conditions. Fluorine surface-sites are shown to enhance the adsorption of quinolines and promote water activation to produce active atomic hydrogen (H*) by forming F−-K+(H2O)7 networks. A 1,4/2,3-addition pathway involving H* is proposed through combining experimental and theoretical results. Wide substrate scopes, scalable synthesis of bioactive precursors, facile preparation of deuterated analogues, and the paired synthesis of 1,2,3,4-tetrahydroquinoline and industrially important adiponitrile at a low voltage highlight the promising applications of this methodology.
Structural basis for gating mechanism of the human sodium-potassium pump
Authors: Nguyen Phong T. , Deisl Christine , Fine Michael , Tippetts Trevor S. , Uchikawa Emiko , Bai Xiao-chen , Levine Beth 
Published: September 2022

AbstractP2-type ATPase sodium-potassium pumps (Na+/K+-ATPases) are ion-transporting enzymes that use ATP to transport Na+ and K+ on opposite sides of the lipid bilayer against their electrochemical gradients to maintain ion concentration gradients across the membranes in all animal cells. Despite the available molecular architecture of the Na+/K+-ATPases, a complete molecular mechanism by which the Na+ and K+ ions access into and are released from the pump remains unknown. Here we report five cryo-electron microscopy (cryo-EM) structures of the human alpha3 Na+/K+-ATPase in its cytoplasmic side-open (E1), ATP-bound cytoplasmic side-open (E1•ATP), ADP-AlF4− trapped Na+-occluded (E1•P-ADP), BeF3− trapped exoplasmic side-open (E2P) and MgF42− trapped K+-occluded (E2•Pi) states. Our work reveals the atomically resolved structural detail of the cytoplasmic gating mechanism of the Na+/K+-ATPase.
A biomarker of aging, p16, predicts peripheral neuropathy in women receiving adjuvant taxanes for breast cancer
Authors: Mitin Natalia , Nyrop Kirsten A. , Strum Susan L. , Knecht Anne , Carey Lisa A. , Reeder-Hayes Katherine E. , Claire Dees E. , Jolly Trevor A. , Kimmick Gretchen G. , Karuturi Meghan S. , Reinbolt Raquel E. , Speca JoEllen C. , O’Hare Erin A. , Muss Hyman B. 
Published: September 2022

AbstractIdentifying patients at higher risk of chemotherapy-induced peripheral neuropathy (CIPN) is a major unmet need given its high incidence, persistence, and detrimental effect on quality of life. We determined if the expression of p16, a biomarker of aging and cellular senescence, predicts CIPN in a prospective, multi-center study of 152 participants enrolled between 2014 and 2018. Any women with newly diagnosed Stage I–III breast cancer scheduled to receive taxane-containing chemotherapy was eligible. The primary outcome was development of grade 2 or higher CIPN during chemotherapy graded by the clinician before each chemotherapy cycle (NCI-CTCAE v5 criteria). We measured p16 expression in peripheral blood T cells by qPCR before and at the end of chemotherapy. A multivariate model identified risk factors for CIPN and included taxane regimen type, p16Age Gap, a measure of discordance between chronological age and p16 expression, and p16 expression before chemotherapy. Participants with higher p16Age Gap—higher chronological age but lower p16 expression prior to chemotherapy - were at the highest risk. In addition, higher levels of p16 before treatment, regardless of patient age, conferred an increased risk of CIPN. Incidence of CIPN positively correlated with chemotherapy-induced increase in p16 expression, with the largest increase seen in participants with the lowest p16 expression before treatment. We have shown that p16 expression levels before treatment can identify patients at high risk for taxane-induced CIPN. If confirmed, p16 might help guide chemotherapy selection in early breast cancer.
Specific behavior of transition metal chloride complexes for achieving giant ionic thermoelectric properties
Authors: Chen Bin , Feng Jiansong , Chen Qianling , Xiao Songhua , Yang Jing , Zhang Xu , Li Zhibin , Wang Taihong 
Published: September 2022

AbstractWhen people are keen to exploring the thermoelectric properties of polymer composite inorganic electrolyte aqueous flexible electronic devices, the complicated chemical configuration of transition metal chloride anion has not been paid attention and reported. Here, we demonstrate a hydrated polyvinyl alcohol (PVA)-cellulosic membrane that relies on the thermal gradient diffusion of transition metal and chloride complexe [CuCl4]2− enhanced by copper-coordinated carboxylated cellulose. The PVA-cellulosic membrane exhibits a thermopower of −26.25 mV·K−1, rendering it among the best n-type ionic thermoelectric materials under the same conditions. We attribute the enhanced thermally generated voltage to the highly-coordinated configuration of Cu2+ - Cl−, which converts the independent thermal motion of Cu2+ and Cl− to the higher ion transport heat of [CuCl4]2− anion via carboxylated cellulose, while this phenomenon do not occur in the other transition metal chlorides. This specific heat transport behavior of [CuCl4]2− has important implications in designing high-quality ionic thermoelectric materials.
Highly pixelated, untethered tactile interfaces for an ultra-flexible on-skin telehaptic system
Authors: Jin Hanbit , Kim Yunjeong , Youm Wooseup , Min Yulim , Seo Saerom , Lim Chaehyun , Hong Chan-Hwa , Kwon Seyoung , Park Gyeongseok , Park Steve , Kim Hye Jin 
Published: September 2022

AbstractRealizing highly immersive tactile interactions requires a skin-integrated, untethered, high-definition tactile transducer devices that can record and generate tactile stimuli. However, the rigid and bulky form factor, and insufficient resolution of existing actuators are hindering the reproduction of sophisticated tactile sensations and immersive user experiences. Here, we demonstrate an ultra-flexible tactile interface with high spatial resolution of 1.8 mm for telehaptic communication on human skin. Dual mechanism sensors and sub-mm scale piezoceramic actuators are designed to record and generate the static and dynamic pressures in a wide frequency range (1 Hz to 1 kHz). Moreover, actuators are integrated on ultra-flexible substrate with chessboard pattern to minimize stress during mechanical deformations. Finally, remote transmissions of various tactile stimuli, such as shapes, textures, and vibration patterns were demonstrated by the telehaptic system with low latency (<1.55 ms) and high fidelity as proven by the short-time Fourier-transform analysis.
Pyridinic N anchored Ag and Au hybrids for detoxification of organic pollutants
Authors: Bogireddy Naveen Kumar Reddy , El Hachimi Abdel Ghafour , Mejia Yetzin Rodriguez , Kesarla Mohan Kumar , Varma Rajender S. , Becerra Raul Herrera , Agarwal Vivechana 
Published: September 2022

AbstractThe development of a highly reusable, non-toxic catalyst for the effective removal of 4-nitrophenol (4-NP) from marine water is a key challenge due to its diverse effects on living organisms. Herein, in situ green fabricated pyridinic N anchored Ag2O/Au decorated porous silica (CG-Ag2O/Au-SiO2) using spent coffee grounds (CG) powder is introduced as a reusable catalyst to mitigate 4-NP, Methylene blue (MB), Rhodamine 6G (R6G) and their mixture in the spiked deionized, river and marine water samples. Exceptionally high structural activity and excellent reusability of catalysts up to 15 cycles have been demonstrated due to the accessibility of a large number of active sites from pyridinic N-anchored Ag2O and Au particle surfaces. CG-Ag2O/Au-SiO2 with the lower Ag and Au contents of 0.59 and 0.11 wt% (ICP-MS) of active catalytic sites exhibit a superior activity parameter of 6000 s−1 g−1 (4-NP), 6357 s−1 g−1 (MB), and 2892 s−1 g−1 (R6G) than chemically synthesized and reported, bare and hybrid structures. Furthermore, the CG-Ag2O/Au-SiO2 shows excellent stability in marine water with promising reusability performance (≈93% after 15 successive cycles). Density functional theory (DFT) studies reveal that the observed high catalytic efficiency originates from the pyridinic N presence on the Ag2O/Au structures.
Converting non-neutralizing SARS-CoV-2 antibodies into broad-spectrum inhibitors
Authors: Weidenbacher Payton A.-B. , Waltari Eric , de los Rios Kobara Izumi , Bell Benjamin N. , Morris Mary Kate , Cheng Ya-Chen , Hanson Carl , Pak John E. , Kim Peter S. 
Published: September 2022

AbstractOmicron and its subvariants have rendered most authorized monoclonal antibody-based treatments for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ineffective, highlighting the need for biologics capable of overcoming SARS-CoV-2 evolution. These mostly ineffective antibodies target variable epitopes. Here we describe broad-spectrum SARS-CoV-2 inhibitors developed by tethering the SARS-CoV-2 receptor, angiotensin-converting enzyme 2 (ACE2), to known non-neutralizing antibodies that target highly conserved epitopes in the viral spike protein. These inhibitors, called receptor-blocking conserved non-neutralizing antibodies (ReconnAbs), potently neutralize all SARS-CoV-2 variants of concern (VOCs), including Omicron. Neutralization potency is lost when the linker joining the binding and inhibitory ReconnAb components is severed. In addition, a bi-functional ReconnAb, made by linking ACE2 to a bi-specific antibody targeting two non-overlapping conserved epitopes, defined here, shows sub-nanomolar neutralizing activity against all VOCs, including Omicron and BA.2. Given their conserved targets and modular nature, ReconnAbs have the potential to act as broad-spectrum therapeutics against SARS-CoV-2 and other emerging pandemic diseases.
Datasets of in vitro clonogenic assays showing low dose hyper-radiosensitivity and induced radioresistance
Authors: Polgár Szabolcs , Schofield Paul N. , Madas Balázs G. 
Published: September 2022

AbstractLow dose hyper-radiosensitivity and induced radioresistance are primarily observed in surviving fractions of cell populations exposed to ionizing radiation, plotted as the function of absorbed dose. Several biophysical models have been developed to quantitatively describe these phenomena. However, there is a lack of raw, openly available experimental data to support the development and validation of quantitative models. The aim of this study was to set up a database of experimental data from the public literature. Using Google Scholar search, 46 publications with 101 datasets on the dose-dependence of surviving fractions, with clear evidence of low dose hyper-radiosensitivity, were identified. Surviving fractions, their uncertainties, and the corresponding absorbed doses were digitized from graphs of the publications. The characteristics of the cell line and the irradiation were also recorded, along with the parameters of the linear-quadratic model and/or the induced repair model if they were provided. The database is available in STOREDB, and can be used for meta-analysis, for comparison with new experiments, and for development and validation of biophysical models.
CatLC: Catalonia Multiresolution Land Cover Dataset
Authors: García Carlos , Mora Oscar , Pérez-Aragüés Fernando , Vitrià Jordi 
Published: September 2022

AbstractThe availability of large annotated image datasets represented one of the tipping points in the progress of object recognition in the realm of natural images, but other important visual spaces are still lacking this asset. In the case of remote sensing, only a few richly annotated datasets covering small areas are available. In this paper, we present the Catalonia Multiresolution Land Cover Dataset (CatLC), a remote sensing dataset corresponding to a mid-size geographical area which has been carefully annotated with a large variety of land cover classes. The dataset includes pre-processed images from the Cartographic and Geological Institute of Catalonia (ICGC) (https://www.icgc.cat/en/Downloads) and the European Space Agency (ESA) (https://scihub.copernicus.eu) catalogs, captured from both aircraft and satellites. Detailed topographic layers inferred from other sensors are also included. CatLC is a multiresolution, multimodal, multitemporal dataset, that can be readily used by the machine learning community to explore new classification techniques for land cover mapping in different scenarios such as area estimation in forest inventories, hydrologic studies involving microclimatic variables or geologic hazards identification and assessment. Moreover, remote sensing data present some specific characteristics that are not shared by natural images and that have been seldom explored. In this vein, CatLC dataset aims to engage with computer vision experts interested in remote sensing and also stimulate new research and development in the field of machine learning.
Validation of a behavior observation form for geese reared in agroforestry systems
Authors: Cartoni Mancinelli Alice , Mattioli Simona , Menchetti Laura , Dal Bosco Alessandro , Chiattelli Diletta , Angelucci Elisa , Castellini Cesare 
Published: September 2022

AbstractAgroforestry systems, which are based on the integration of trees and animals, represent a useful practice for implementing the “One Welfare” concept. Geese could adapt well to these systems due to their kinetic and grazing abilities. However, the lack of specific ethograms and animal-based measures have not yet allowed a deep assessment of their welfare and behavior. The aim of this study was to develop and validate a protocol to evaluate the behavior of geese reared in two agroforestry systems (i.e., apple orchard and vineyard). Thus, a behavior observation form (BOF) including a specific ethogram was proposed, and its interobserver reliability, content, criterion and construct validity were determined. Moreover, the influence of the time of day and type of agroforestry system on geese's behavior was also investigated. Agreement and principal component analyses, as well as the comparison between data collected through direct observation by the BOF and indirect observation by a computerized system, supported the reliability and validity of the proposed protocol. While the BOF also highlighted differences in the behavior expressed by the geese according to the time of day and the environmental context, both the vineyard and apple orchard systems seem to meet their biological and behavioral needs.