bluuebunny/crossref_metadata_2025_split huggingface dataset:
An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target
Authors: Sun Xiyuan , Gu Pengfei , He Zi , Wen Hao , Ding Dazhi , Guo Shaoqing , Li You 
Published: July 2023

AbstractThe unitary matrix pencil (UMP) method has been successfully applied to antenna array optimization. In this paper, the UMP method is applied to the parameter estimation of target detection based on the attributed scattering center (ASC) model. This method can accurately estimate the number of arbitrary group targets in the space. First, the RCS is reconstructed based on the ASC model. Since the unitary matrix can be used to process the parameter estimation of the echo with “sum of attenuation exponents,” the unitary matrix is constructed by the samples from this reconstructed RCS. Moreover, the stronger scattering center can be characterized via the larger singular values, and the number of group targets can be obtained by solving the number of large singular values. Then, singular value decomposition is performed on this unitary matrix, and some larger singular values are screened by setting an appropriate threshold. The higher estimation accuracy can be obtained by fusing the echoes from multiple frequencies and angles. Besides, the estimation accuracies of this proposed method in this paper are discussed under different signal‐to‐noise ratios considering the noise in the actual scene. Simulation results show that this method can effectively and accurately estimate the number of group targets, and it shows strong robustness.
A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor
Authors: Mardian Jacob , Champagne Catherine , Bonsal Barrie , Berg Aaron 
Published: July 2023

AbstractDrought is a costly natural disaster that impacts economies and ecosystems worldwide, so monitoring drought and communicating its impacts to individuals, communities, industry, and governments is important for mitigation, adaptation, and decision‐making. This research describes a novel machine learning framework to predict and understand the Canadian Drought Monitor (CDM). This fully automated approach is trained on nearly two decades of expert analysis and would assist the comprehensive monitoring of drought impacts without the continued requirement of ground support, a benefit in many data‐limited areas across the country. The framework also integrates the Shapley Additive Explanation (SHAP) variable importance metric to provide insight into drought dynamics in near real‐time, demonstrating its usefulness for understanding the value of different data sets for drought assessments and dispelling the commonly held misconception that machine learning models are not useful for inference. The results demonstrate that the model can effectively predict the CDM maps and realistically capture the evolution of drought events over time. A SHAP analysis found that the Prairie drought of 2015 was related to a strong El Niño event that reduced water supply to a region already facing long‐term water deficits, and the subsequent reduction in groundwater availability was detected by the Gravity Recovery and Climate Experiment satellite. Overall, this research shows strong potential to streamline the CDM methodology, integrate scientific insight into operations in near real‐time using SHAP values, and provide an avenue to retrospectively extend the CDM for evaluating current and future drought events in a historical context.
Sedimentary Records of Liquefaction: Implications From Field Studies
Authors: Świątek Szymon , Belzyt Szymon , Pisarska‐Jamroży Małgorzata , Woronko Barbara 
Published: July 2023

AbstractThe susceptibility of grains in sediment to the liquefaction process causes the development of deformation structures. Some sediments undergo liquefaction, others do not. There is a group of sediments especially prone to liquefaction, which was proven during laboratory experiments. However, the field results are often slightly different from those obtained experimentally because of many unpredictable factors influencing the course of the liquefaction process. For this reason, we tested 144 samples of unconsolidated Quaternary‐age sediments, collected from eight study sites in Germany, Lithuania and Latvia, which have been liquefied. We also present some new dating results. These samples were divided into two groups of soft‐sediment deformation structures: concave up (e.g., injection structures) and concave down (e.g., load casts, pseudonodules). The granulometry of all deformation types was statistically evaluated, which allowed identifying textural differences between sediment contained in concave up and concave down structures. We suggest that the mobilization of silt fraction is responsible for the further deforming process. We also confirm that the maximum content of clay in sediment prone to liquefaction cannot exceed 14%, but only with a significant content of coarser fractions (silt and sand). Moreover, we identified two separate zones of the specific grain size in which only concave down structures or only concave up structures develop as an effect of liquefaction, and the third “transitional zone” where all forms occur. The “transitional zone” is separated from the concave up structures and concave down structures zones by two “gap zones” in which no liquefied sediments were observed.
Associations between lifestyle factors and levels of per- and polyfluoroalkyl substances (PFASs), phthalates and parabens in follicular fluid in women undergoing fertility treatment
Authors: Hallberg Ida , Björvang Richelle D. , Hadziosmanovic Nermin , Koekkoekk Jacco , Pikki Anne , van Duursen Majorie , Lenters Virissa , Sjunnesson Ylva , Holte Jan , Berglund Lars , Persson Sara , Olovsson Matts , Damdimopoulou Pauliina 
Published: July 2023

AbstractBackgroundConcerns have been raised whether exposure to endocrine-disrupting chemicals (EDCs) can alter reproductive functions and play a role in the aetiology of infertility in women. With increasing evidence of adverse effects, information on factors associated with exposure is necessary to form firm recommendations aiming at reducing exposure.ObjectiveOur aim was to identify associations between lifestyle factors including the home environment, use of personal care products (PCP), and dietary habits and concentrations of EDCs in ovarian follicular fluid.MethodsApril-June 2016, 185 women undergoing ovum pick-up for in vitro fertilisation in Sweden were recruited. Correlation analyses were performed between self-reported lifestyle factors and concentration of EDCs analysed in follicular fluid. Habits related to cleaning, PCPs, and diet were assessed together with concentration of six per- and polyfluoroalkyl substances (PFASs) [PFHxS, PFOA, PFOS, PFNA, PFDA and PFUnDA], methyl paraben and eight phthalate metabolites [MECPP, MEHPP, MEOHP, MEHP, cxMinCH, cxMiNP, ohMiNP, MEP, MOHiBP]. Spearman’s partial correlations were adjusted for age, parity and BMI.ResultsSignificant associations were discovered between multiple lifestyle factors and concentrations of EDCs in ovarian follicular fluid. After correctingpvalues for multiple testing, frequent use of perfume was associated with MEP (correlationρ = 0.41 (confidence interval 0.21–0.47),p < 0.001); hens’ egg consumption was positively associated with PFOS (ρ = 0.30 (0.15–0.43),p = 0.007) and PFUnDA (ρ = 0.27 (0.12–0.40),p = 0.036). White fish consumption was positively associated with PFUnDA (ρ = 0.34 (0.20–0.47),p < 0.001) and PFDA (ρ = 0.27 (0.13–0.41),p = 0.028). More correlations were discovered when considering the raw uncorrectedpvalues. Altogether, our results suggest that multiple lifestyle variables affect chemical contamination of follicular fluid.Impact statementThis study shows how lifestyle factors correlate with the level of contamination in the ovary by both persistent and semi-persistent chemicals in women of reproductive age. Subsequently, these data can be used to form recommendations regarding lifestyle to mitigate possible negative health outcomes and fertility problems associated with chemical exposure, and to inform chemical policy decision making. Our study can also help form the basis for the design of larger observational and intervention studies to examine possible effects of lifestyle changes on exposure levels, and to unravel the complex interactions between biological factors, lifestyle and chemical exposures in more detail.
Effectiveness of iodine for continuous decontamination of dental unit waterline
Authors: Petchphayaprai Chatchaya , Chotipan Chutimon , Sa-ngiampak Pitchayapa , Thotsaporn Kittisak , Ampornaramveth Ruchanee Salingcarnboriboon 
Published: July 2023

Abstract
Objective
Dental Unit Waterlines (DUWLs) are contaminated by various species of microorganisms. DUWLs should be disinfected appropriately to control microbial contamination. This study investigated the effectiveness of devices continuously releasing iodine to control microbial contamination in DUWLs.

Materials and methods
Ten dental chair units (DCU) at Chulalongkorn University were randomized into the iodine and control groups. After setting iodine treatment devices, the DCU was allowed to operate normally. 25 ml of water from airotors lines were collected weekly for enumerating bacteria. The viability of biofilms in DUWLs was quantified by ATP testing kit. The amount of iodine released into the procedural water was also quantified.

Results
The continuous presence of iodine could significantly control bacterial contamination in the DUWL to be less than 500 CFU/mL, the standard level recommended by the Centre for Disease Control and Prevention (CDC). Iodine treatment can reduce bacterial CFU up to 98–100%. Biofilm viability in the iodine group was slightly lower than that of the control group though not statistically significant. After eleven months, the average iodine release was measured to be 3.6 ppm which is still effective in controlling bacterial contamination.

Conclusion
Continuously supplying iodine in DUWLs effectively controls microbial contamination.
Twisting, untwisting, and retwisting of elastic Co-based nanohelices
Authors: Du Wei , Gao Feng , Cui Peng , Yu Zhiwu , Tong Wei , Wang Jihao , Ren Zhuang , Song Chuang , Xu Jiaying , Ma Haifeng , Dang Liyun , Zhang Di , Lu Qingyou , Jiang Jun , Wang Junfeng , Pi Li , Sheng Zhigao , Lu Qingyi 
Published: July 2023

AbstractThe reversible transformation of a nanohelix is one of the most exquisite and important phenomena in nature. However, nanomaterials usually fail to twist into helical crystals. Considering the irreversibility of the previously studied twisting forces, the reverse process (untwisting) is more difficult to achieve, let alone the retwisting of the untwisted crystalline nanohelices. Herein, we report a new reciprocal effect between molecular geometry and crystal structure which triggers a twisting-untwisting-retwisting cycle for tri-cobalt salicylate hydroxide hexahydrate. The twisting force stems from competition between the condensation reaction and stacking process, different from the previously reported twisting mechanisms. The resulting distinct nanohelices give rise to unusual structure elasticity, as reflected in the reversible change of crystal lattice parameters and the mutual transformation between the nanowires and nanohelices. This study proposes a fresh concept for designing reversible processes and brings a new perspective in crystallography.
Basin record of a Miocene lithosphere drip beneath the Colorado Plateau
Authors: He John J. Y. , Kapp Paul 
Published: July 2023

AbstractThe sinking of gravitationally unstable lithosphere beneath high-elevation plateaus is proposed to be a key driver of their uplift. Numerical geodynamic models predict that lithosphere removal can lead to transient, dynamic topographic changes that could be preserved in the surface record, particularly in sedimentary deposits of lakes or playas that are subsequently inverted. However, few such examples have been documented. Here we show that the Miocene Bidahochi Basin, which was partially and intermittently filled by the Hopi Paleolake, preserves a record of the quasi-elliptical surface response to a viscous drip of lithosphere >100 km beneath the Colorado Plateau. New detrital zircon U-Pb, Lu-Hf, and trace-element data reveal systematic isotopic, geochemical, temperature and fO2 transitions in magmatism proximal to the basin. Integration of geophysical, geochemical, and geological evidence supports a spatially and temporally varying record of subsidence and uplift that is consistent with models of progressive dripping beneath plateaus with thick lithosphere. We demonstrate that dynamic topography at the scale of individual lithosphere drips can be recognized on the Colorado Plateau, despite the strength of its lithosphere.
Highly selective oxidation of benzene to phenol with air at room temperature promoted by water
Authors: Xie Jijia , Li Xiyi , Guo Jian , Luo Lei , Delgado Juan J. , Martsinovich Natalia , Tang Junwang 
Published: July 2023

AbstractPhenol is one of the most important fine chemical intermediates in the synthesis of plastics and drugs with a market size of ca. $30b1 and the commercial production is via a two-step selective oxidation of benzene, requiring high energy input (high temperature and high pressure) in the presence of a corrosive acidic medium, and causing serious environmental issues2–5. Here we present a four-phase interface strategy with well-designed Pd@Cu nanoarchitecture decorated TiO2 as a catalyst in a suspension system. The optimised catalyst leads to a turnover number of 16,000–100,000 for phenol generation with respect to the active sites and an excellent selectivity of ca. 93%. Such unprecedented results are attributed to the efficient activation of benzene by the atomically Cu coated Pd nanoarchitecture, enhanced charge separation, and an oxidant-lean environment. The rational design of catalyst and reaction system provides a green pathway for the selective conversion of symmetric organic molecules.
Human displacements, fatalities, and economic damages linked to remotely observed floods
Authors: Mester Benedikt , Frieler Katja , Schewe Jacob 
Published: July 2023

AbstractWe present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on fatalities and damages from the Emergency Events Database (EM-DAT), with the Global Flood Database (GFD), a satellite-based inventory of historic flood footprints. It thereby provides a spatially explicit estimate of the flood hazard underlying each individual disaster event. FLODIS contains two datasets with event-specific information for 335 human displacement events and 695 mortality/damage events that occurred around the world between 2000 and 2018. Additionally, we provide estimates of affected population, GDP, and critical infrastructure, as well as socio-economic indicators; and we provide geocoding for displacement events ascribed to other types of disasters, such as tropical cyclones, so that they may be linked to corresponding hazard estimates in future work. FLODIS facilitates integrated flood risk analysis, allowing, for example, for detailed assessments of local flood-damage and displacement vulnerability.
Cuproptosis-related risk score based on machine learning algorithm predicts prognosis and characterizes tumor microenvironment in head and neck squamous carcinomas
Authors: Ye Maodong , Zhang Guangping , Lu Yongjian , Ren Shuai , Ji Yingchang 
Published: July 2023

AbstractCuproptosis is a recently discovered type of programmed cell death that shows significant potential in the diagnosis and treatment of cancer. It has important significance in the prognosis of HSNC. This study aims to construct a cuproptosis-related prognostic model and risk score through new data analysis methods such as machine learning algorithms for the prognosis analysis of HSNC. Protein–protein interaction network and machine learning methods were employed to identify hub genes that were used to construct a TreeGradientBoosting model for predicting overall survival. The relationship between the risk scores obtained from the model and features such as tumor microenvironment (TME) and tumor immunity was explored. The C-indexes of the TreeGradientBoosting model in the training and validation cohorts were 0.776 and 0.848, respectively. The nomogram based on risk scores and clinical features showed good performance, and distinguished the TME and immunity between high-risk and low-risk groups. The cuproptosis-associated risk score can be used to predict prognoses, TME, and tumor immunity of HNSC patients.
Newt A1 cell-derived extracellular vesicles promote mammalian nerve growth
Authors: Middleton Ryan C. , Liao Ke , Liu Weixin , de Couto Geoff , Garcia Nahuel , Antes Travis , Wang Yizhou , Wu Di , Li Xinling , Tourtellotte Warren G. , Marbán Eduardo 
Published: July 2023

AbstractNewts have the extraordinary ability to fully regenerate lost or damaged cardiac, neural and retinal tissues, and even amputated limbs. In contrast, mammals lack these broad regenerative capabilities. While the molecular basis of newts’ regenerative ability is the subject of active study, the underlying paracrine signaling factors involved remain largely uncharacterized. Extracellular vesicles (EVs) play an important role in cell-to-cell communication via EV cargo-mediated regulation of gene expression patterns within the recipient cells. Here, we report that newt myogenic precursor (A1) cells secrete EVs (A1EVs) that contain messenger RNAs associated with early embryonic development, neuronal differentiation, and cell survival. Exposure of rat primary superior cervical ganglion (SCG) neurons to A1EVs increased neurite outgrowth, facilitated by increases in mitochondrial respiration. Canonical pathway analysis pinpointed activation of NGF/ERK5 signaling in SCG neurons exposed to A1EV, which was validated experimentally. Thus, newt EVs drive neurite growth and complexity in mammalian primary neurons.
Accuracy and limitation of plaque detection by coronary CTA: a section-to-section comparison with optical coherence tomography
Authors: Cao J. Jane , Shen Linghong , Nguyen James , Rapelje Kathleen , Porter Craig , Shlofmitz Evan , Jeremias Allen , Cohen David J. , Ali Ziad A. , Shlofmitz Richard 
Published: July 2023

AbstractPlaques identified by Coronary CT angiography (CCTA) are important in clinical diagnosis and primary prevention. High-risk plaque features by CCTA have been extensively validated using optical coherence tomography (OCT). However, since their general diagnostic performance and limitations have not been fully investigated, we sought to compare CCTA with OCT among consecutive vessel sections. We retrospectively compared 188 consecutive plaques and 84 normal sections in 41 vessels from 40 consecutive patients referred for chest pain evaluation who had both CCTA and OCT with a median time lapse of 1 day. The distance to reference points were used to co-register between the modalities and the diagnostic performance of CCTA was evaluated against OCT. Plaque categories evaluated by CT were calcified, non-calcified and mixed. The diagnostic performance of CCTA was excellent for detecting any plaque identified by OCT with the sensitivity, specificity, negative and positive predictive values and accuracy of 92%, 98%, 99%, 84% and 93%, respectively. The lower than expected negative predictive value was due to failure of detecting sub-millimeter calcified (≤ 0.25 mm2) (N = 12) and non-calcified plaques (N = 4). Misclassification of plaque type accounted for majority of false negative findings (25/41, 61%) which was most prevalent among the mixed plaque (19/41, 46%). There was calcification within mixed plaques (N = 5) seen by CCTA but missed by OCT. Our findings suggest that CCTA is excellent at identifying coronary plaques except those sub-millimeter in size which likely represent very early atherosclerosis, although the clinical implication of very mild atherosclerosis is yet to be determined.
Neuroanatomy of reduced distortion of body-centred spatial coding during body tilt in stroke patients
Authors: Tani Keisuke , Iio Shintaro , Kamiya Masato , Yoshizawa Kohei , Shigematsu Takashi , Fujishima Ichiro , Tanaka Satoshi 
Published: July 2023

AbstractAwareness of the direction of the body’s (longitudinal) axis is fundamental for action and perception. The perceived body axis orientation is strongly biased during body tilt; however, the neural substrates underlying this phenomenon remain largely unknown. Here, we tackled this issue using a neuropsychological approach in patients with hemispheric stroke. Thirty-seven stroke patients and 20 age-matched healthy controls adjusted a visual line with the perceived body longitudinal axis when the body was upright or laterally tilted by 10 degrees. The bias of the perceived body axis caused by body tilt, termed tilt-dependent error (TDE), was compared between the groups. The TDE was significantly smaller (i.e., less affected performance by body tilt) in the stroke group (15.9 ± 15.9°) than in the control group (25.7 ± 17.1°). Lesion subtraction analysis and Bayesian lesion-symptom inference revealed that the abnormally reduced TDEs were associated with lesions in the right occipitotemporal cortex, such as the superior and middle temporal gyri. Our findings contribute to a better understanding of the neuroanatomy of body-centred spatial coding during whole-body tilt.
Spatial and temporal variability of the acoustic repertoire of Antarctic minke whales (Balaenoptera bonaerensis) in the Weddell Sea
Authors: Filún Diego , van Opzeeland Ilse 
Published: July 2023

AbstractSince the attribution of the bio-duck call to Antarctic minke whales (AMW Balaenoptera bonaerensis), different studies have retrospectively identified several bio-duck call types at various sites throughout the Southern Hemisphere. The function of their vocal behavior however, remains largely unknown. Further insights into their repertoire usage may help to reveal the function of their calls. Here, we use passive acoustic monitoring (PAM) data collected across six locations throughout the Weddell Sea (WS) in 2013 and from PALAOA Station (Ekström Ice Shelf, eastern WS) in 2015, 2016 and 2017. In 2013, we detected 11 bio-duck call types throughout the WS between May and December, with additional acoustic activity in February on the western recorder AMW calls fell into four general call clusters. Seasonal patterns of calls showed variability between locations and years. Furthermore, this is the first study to show that similar to other baleen whale species, AMWs also produce songs.