bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous bright- and dark-field X-ray microscopy at X-ray free electron lasers
Authors: Dresselhaus-Marais Leora E. , Kozioziemski Bernard , Holstad Theodor S. , Ræder Trygve Magnus , Seaberg Matthew , Nam Daewoong , Kim Sangsoo , Breckling Sean , Choi Sungwook , Chollet Matthieu , Cook Philip K. , Folsom Eric , Galtier Eric , Gonzalez Arnulfo , Gorkhover Tais , Guillet Serge , Haldrup Kristoffer , Howard Marylesa , Katagiri Kento , Kim Seonghan , Kim Sunam , Kim Sungwon , Kim Hyunjung , Knudsen Erik Bergbäck , Kuschel Stephan , Lee Hae Ja , Lin Chuanlong , McWilliams R. Stewart , Nagler Bob , Nielsen Martin Meedom , Ozaki Norimasa , Pal Dayeeta , Pablo Pedro Ricardo , Saunders Alison M. , Schoofs Frank , Sekine Toshimori , Simons Hugh , van Driel Tim , Wang Bihan , Yang Wenge , Yildirim Can , Poulsen Henning Friis , Eggert Jon H. 
Published: October 2023

AbstractThe structures, strain fields, and defect distributions in solid materials underlie the mechanical and physical properties across numerous applications. Many modern microstructural microscopy tools characterize crystal grains, domains and defects required to map lattice distortions or deformation, but are limited to studies of the (near) surface. Generally speaking, such tools cannot probe the structural dynamics in a way that is representative of bulk behavior. Synchrotron X-ray diffraction based imaging has long mapped the deeply embedded structural elements, and with enhanced resolution, dark field X-ray microscopy (DFXM) can now map those features with the requisite nm-resolution. However, these techniques still suffer from the required integration times due to limitations from the source and optics. This work extends DFXM to X-ray free electron lasers, showing how the $$10^{12}$$

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photons per pulse available at these sources offer structural characterization down to 100 fs resolution (orders of magnitude faster than current synchrotron images). We introduce the XFEL DFXM setup with simultaneous bright field microscopy to probe density changes within the same volume. This work presents a comprehensive guide to the multi-modal ultrafast high-resolution X-ray microscope that we constructed and tested at two XFELs, and shows initial data demonstrating two timing strategies to study associated reversible or irreversible lattice dynamics.
Management of sunflower charcoal-rot and maize late-wilt diseases using the aqueous extract of vermicompost (vermitea) and environmental-safe biochar derivative (wood vinegar)
Authors: Darwesh Osama M. , Elshahawy Ibrahim E. 
Published: October 2023

AbstractIn Egypt, sunflower charcoal-rot caused by Macrophomina phaseolina and maize late-wilt caused by Magnaporthiopsis maydis are the most prevalent, and can lead to huge yield losses of both crops under epidemic conditions. In this study, the potential use of vermitea and wood vinegar for management of both diseases was investigated. Data revealed that, among the 17 bacterial strains obtained from vermitea, three strains named VCB-2, VCB-7 and VCB-11 were chosen for having the greatest in vitro inhibitory effect against M. phaseolina and M. maydis, with fungal inhibition values of 54.2; 61.7, 65.2; 74.0 and 57.1; 87.0% against both pathogens, respectively. These strains were identified as Bacillus amyloliquefaciens, Serratia marcescens and Bacillus velezensis, respectively. Wood vinegar significantly reduced the colony diameter of M. phaseolina and M. maydis in in vitro trials conducted on potato dextrose agar medium amended with the desired concentrations of 0.5, 1.0, 1.5, 2.0, and 2.5%. The efficiency increased with increasing wood vinegar concentration, and 2.0% was the most effective (100% suppression). Data from greenhouse experiments showed that the application of vermitea or wood vinegar tended to decrease the incidence (% dead plants) of sunflower charcoal-rot (by 61.1 and 66.7%) and maize late-wilt (by 70.6%). These treatments had positive impacts on the plant growth parameters, photosynthetic pigments and antioxidative enzymes of sunflower and maize plants. Data from field experiments showed that the application of vermitea or wood vinegar decreased the incidence of charcoal-rot (by 72.8 and 72.0%) and late-wilt (by 88.7 and 87.0%) as well as increased the production sunflower and maize plants.
A melting pot of Roman dogs north of the Alps with high phenotypic and genetic diversity and similar diets
Authors: Granado José , Susat Julian , Gerling Claudia , Schernig-Mráz Monika , Schlumbaum Angela , Deschler-Erb Sabine , Krause-Kyora Ben 
Published: October 2023

AbstractSeveral dog skeletons were excavated at the Roman town of Augusta Raurica and at the military camp of Vindonissa, located in the northern Alpine region of Switzerland (Germania Superior). The relationships between them and the people, the nature of their lives, and the circumstances of their deaths are unclear. In order to gain insight into this dog population, we collected 31 dogs deposited almost simultaneously in two wells (second half of the third century CE), three dogs from burial contexts (70–200 CE and third to fifth century CE) at Augusta Raurica, and two dogs from burial contexts at Vindonissa (ca. first century CE). We detected a mixed population of young and adult dogs including small, medium and large sized individuals. Three small dogs had conspicuous phenotypes: abnormally short legs, and one with a brachycephalic skull. Stable isotope analysis of a subset of the dogs showed that their diets were omnivorous with a substantial input of animal proteins and little variation, except one with a particularly low δ15N value, indicating a diet low in animal proteins. Partial mitochondrial DNA sequences from 25 dogs revealed eight haplotypes within canine haplogroup A (11 dogs; 44%; 5 haplotypes), C (8 dogs; 32%; 1 haplotype), D (4 dogs, 16%; 1 haplotype) and B (2 dogs, 8%; 1 haplotype). Based on shotgun sequencing, four Roman mitogenomes were assembled, representing sub-haplogroups A1b3, A1b2 and C2. No canine pathogens were identified, weakening the assumption of infectious disease as a cause for dog disposal. The genetic and morphological diversity observed in dogs of Augusta Raurica and Vindonissa is similar to modern dog diversity.
Effects of digital transformation and environmental resource integration capability on medical equipment suppliers’ green innovation performance
Authors: Wu Qiong , Wang Shihan , Zhou Anning , Xia Bing , Abruquah Lucille Aba , Chen Zhen 
Published: October 2023

AbstractIn today’s digital age, the effort of medical enterprises towards green innovation has gained traction in academic and business circles. However, the current research system for medical equipment suppliers lacks a systematic study on how digital transformation can enhance the outcomes of green innovation. This research aims to develop a theoretical framework for digital transformation, environmental resource integration capability, managerial environmental concern and green innovation performance with respect to the resource-based view and conducting empirical analysis using survey data from medical equipment supply enterprises. Our findings reveal that digital transformation has a significant effect on the promotion of green innovation performance through environmental resource integration capability. Moreover, the managerial environmental concern moderates above mediation effect. These findings not only provide compelling insights into the impact of digital transformation on green innovation performance but also have important implications for sustainable development and cleaner production relevant academic research and policy-making.
Cluster of lifestyle risk factors for stomach cancer and screening behaviors among Korean adults
Authors: Trinh Thao Thi Kim , Lee Kyeongmin , Oh Jin-Kyoung , Suh Mina , Jun Jae Kwan , Choi Kui Son 
Published: October 2023

AbstractThis study aimed to investigate clustering patterns of lifestyle risk factors for stomach cancer and examine the association of risk factor clusters with stomach cancer screening adherence. Data from the 2019 Korean National Cancer Screening Survey, an annual cross-sectional nationwide survey, were used. The study population included 3539 adults aged 40–74 years with no history of cancer. Six stomach cancer risk factors, including smoking, drinking, physical inactivity, obesity, meat intake, and salted food intake, as well as stomach cancer screening behaviors, were assessed. The most frequent risk factor for stomach cancer was physical inactivity, followed by smoking in males and high salted food intake in females. Compared with participants subjects with no risk factors, those with three or more risk factors were less likely to adhere to screening guidelines (males: adjusted odds ratio [aOR] = 0.35, 95% confidence interval [CI] 0.23–0.53; females: aOR = 0.32, 95% CI 0.21–0.48). Our findings indicate a disparity in stomach cancer screening, such that those with more risk factors are less likely to get screened. Increasing public awareness, providing behavioral counseling, and targeting high-risk populations for screening interventions are critical for promoting cancer screening adherence and reducing the disparity in cancer screening.
Untargeted metabolomics analysis on kidney tissues from mice reveals potential hypoxia biomarkers
Authors: Sajid Muhammad Imran , Nunez Francisco J. , Amirrad Farideh , Roosan Moom Rahman , Vojtko Tom , McCulloch Scott , Alachkar Amal , Nauli Surya M. 
Published: October 2023

AbstractChronic hypoxia may have a huge impact on the cardiovascular and renal systems. Advancements in microscopy, metabolomics, and bioinformatics provide opportunities to identify new biomarkers. In this study, we aimed at elucidating the metabolic alterations in kidney tissues induced by chronic hypoxia using untargeted metabolomic analyses. Reverse phase ultrahigh performance liquid chromatography-mass spectroscopy/mass spectroscopy (RP–UPLC–MS/MS) and hydrophilic interaction liquid chromatography (HILIC)–UPLC–MS/MS methods with positive and negative ion mode electrospray ionization were used for metabolic profiling. The metabolomic profiling revealed an increase in metabolites related to carnitine synthesis and purine metabolism. Additionally, there was a notable increase in bilirubin. Heme, N-acetyl-l-aspartic acid, thyroxine, and 3-beta-Hydroxy-5-cholestenoate were found to be significantly downregulated. 3-beta-Hydroxy-5-cholestenoate was downregulated more significantly in male than female kidneys. Trichome Staining also showed remarkable kidney fibrosis in mice subjected to chronic hypoxia. Our study offers potential intracellular metabolite signatures for hypoxic kidneys.
Lifetime estimation of thin-film transistors in organic emitting diode display panels with compensation
Authors: Park Jingyu , Choi Sungju , Kim Changwook , Shin Hong Jae , Jeong Yun Sik , Bae Jong Uk , Oh Saeroonter , Kim Dae Hwan 
Published: October 2023

AbstractOxide semiconductor thin-film transistors (TFTs) are used in the pixel array and gate driver circuits of organic light emitting diode (OLED) display panels. Long-term reliability characteristics of the TFTs are a barometer of the lifetime of OLED display panels. The long-term reliability of the driver TFTs is evaluated in a short time under high voltages and high temperature for an accelerated degradation test. If reliability parameters from the power law or stretched-exponential functions are the same for individual devices and devices in an operating panel, the lifetime of the panel can be accurately estimated. However, since compensation circuits are designed into operating panels, an environmental discrepancy exists between the accelerated test of single devices and the operation of devices in the panel. Herein, we propose a novel compensation stretched-exponential function (CSEF) model which captures the effect of the threshold voltage compensation circuit in the panel. The CSEF model not only bridges the discrepancy between individual devices and panel devices, but also provides a method to accurately and efficiently estimate the long-term lifetime of all display panels that utilize compensation circuits.
No evidence from a negative mood induction fMRI task for frontal functional asymmetry as a suitable neurofeedback target
Authors: Zhang Jingying , Zamoscik Vera Eva , Kirsch Peter , Gerchen Martin Fungisai 
Published: October 2023

AbstractFrontal functional asymmetry (FA) has been proposed as a potential target for neurofeedback (NFB) training for mental disorders but most FA NFB studies used electroencephalography while the investigations of FA NFB in functional magnetic resonance imaging (fMRI) are rather limited. In this study, we aimed at identifying functional asymmetry effects in fMRI and exploring its potential as a target for fMRI NFB studies by re-analyzing an existing data set containing a resting state measurement and a sad mood induction task of n = 30 participants with remitted major depressive disorder and n = 30 matched healthy controls. We applied low-frequency fluctuations (ALFF), fractional ALFF, and regional homogeneity and estimated functional asymmetry in both a voxel-wise and regional manner. We assessed functional asymmetry during rest and negative mood induction as well as functional asymmetry changes between the phases, and associated the induced mood change with the change in functional asymmetry. Analyses were conducted within as well as between groups. Despite extensive analyses, we identified only very limited effects. While some tests showed nominal significance, our results did not contain any clear identifiable patterns of effects that would be expected if a true underlying effect would be present. In conclusion, we do not find evidence for FA effects related to negative mood in fMRI, which questions the usefulness of FA measures for real-time fMRI neurofeedback as a treatment approach for affective disorders.
A radiomics model based on magnetic resonance imaging to predict cytokeratin 7/19 expression and liver fluke infection of hepatocellular carcinoma
Authors: Liu Jun-Qi , Wang Jing , Huang Xia-Ling , Liang Tian-Yi , Zhou Xin , Mo Shu-Tian , Xie Hai-Xiang , Yang Ke-Jian , Zhu Guang-Zhi , Su Hao , Liao Xi-Wen , Long Li-Ling , Peng Tao 
Published: October 2023

AbstractHepatocellular carcinoma (HCC) is the most common type of primary liver cancer. HCC with liver fluke infection could harbor unique biological behaviors. This study was aimed at investigating radiomics features of HCC with liver fluke infection and establishing a model to predict the expression of cytokeratin 7 (CK7) and cytokeratin 19 (CK19) as well as prognosis at the same time. A total of 134 HCC patients were included. Gadoxetic acid-enhanced magnetic resonance imaging (MRI) images of all patients were acquired. Radiomics features of the tumor were extracted and then data dimensionality was reduced. The radiomics model was established to predict liver fluke infection and the radiomics score (Radscore) was calculated. There were 11 features in the four-phase combined model. The efficiency of the combined model increased significantly compared to each single-phase MRI model. Radscore was an independent predictor of liver fluke infection. It was also significantly different between different expression of CK7/ CK19. Meanwhile, liver fluke infection was associated with CK7/CK19 expression. A cut-off value was set up and all patients were divided into high risk and low risk groups of CK7/CK19 positive expression. Radscore was also an independent predictor of these two biomarkers. Overall survival (OS) and recurrence free survival (RFS) of negative liver fluke infection group were significantly better than the positive group. OS and RFS of negative CK7 and CK19 expression were also better, though not significantly. Positive liver fluke infection and CK19 expression prediction groups harbored significantly worse OS and RFS, survival of positive CK7 expression prediction was unsatisfying as well. A radiomics model was established to predict liver fluke infection among HCC patients. This model could also predict CK7 and CK19 expression. OS and RFS could be foreseen by this model at the same time.
Systematic-error suppression in low-coherence Brillouin optical correlation-domain reflectometry
Authors: Otsubo Kenta , Zhu Guangtao , Kiyozumi Takaki , Noda Kohei , Nakamura Kentaro , Lee Heeyoung , Mizuno Yosuke 
Published: October 2023

AbstractBrillouin optical correlation-domain analysis (BOCDA) utilizing low-coherence light sources offers high-resolution distributed strain and temperature sensing. However, conventional BOCDA requires dual-end injection of pump and probe light into the sensing fiber. To overcome this limitation, low-coherence Brillouin optical correlation-domain reflectometry (BOCDR) based on spontaneous Brillouin scattering has emerged, enabling single-end light injection. While a pilot demonstration has shown a spatial resolution of 19 cm, a comparison of its measurement accuracy with standard BOCDR systems is yet to be explored. This study presents a distributed measurement with ~ 3 cm spatial resolution and demonstrates that low-coherence BOCDR eliminates systematic errors caused by direct sinusoidal modulation, offering enhanced measurement precision.
A supervised learning regression method for the analysis of oral sensitivity of healthy individuals and patients with chemosensory loss
Authors: Naciri Lala Chaimae , Mastinu Mariano , Melis Melania , Green Tomer , Wolf Anne , Hummel Thomas , Barbarossa Iole Tomassini 
Published: October 2023

AbstractThe gustatory, olfactory, and trigeminal systems are anatomically separated. However, they interact cognitively to give rise to oral perception, which can significantly affect health and quality of life. We built a Supervised Learning (SL) regression model that, exploiting participants’ features, was capable of automatically analyzing with high precision the self-ratings of oral sensitivity of healthy participants and patients with chemosensory loss, determining the contribution of its components: gustatory, olfactory, and trigeminal. CatBoost regressor provided predicted values of the self-rated oral sensitivity close to experimental values. Patients showed lower predicted values of oral sensitivity, lower scores for measured taste, spiciness, astringency, and smell sensitivity, higher BMI, and lower levels of well-being. CatBoost regressor defined the impact of the single components of oral perception in the two groups. The trigeminal component was the most significant, though astringency and spiciness provided similar contributions in controls, while astringency was most important in patients. Taste was more important in controls while smell was the least important in both groups. Identifying the significance of the oral perception components and the differences between the two groups provide important information to allow for more targeted examinations supporting both patients and healthcare professionals in clinical practice.
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
Authors: Liang Hongyin , Wang Meng , Wen Yi , Du Feizhou , Jiang Li , Geng Xuelong , Tang Lijun , Yan Hongtao 
Published: October 2023

AbstractThis study aimed to evaluate acute pancreatitis (AP) severity using convolutional neural network (CNN) models with enhanced computed tomography (CT) scans. Three-dimensional DenseNet CNN models were developed and trained using the enhanced CT scans labeled with two severity assessment methods: the computed tomography severity index (CTSI) and Atlanta classification. Each labeling method was used independently for model training and validation. Model performance was evaluated using confusion matrices, areas under the receiver operating characteristic curve (AUC-ROC), accuracy, precision, recall, F1 score, and respective macro-average metrics. A total of 1,798 enhanced CT scans met the inclusion criteria were included in this study. The dataset was randomly divided into a training dataset (n = 1618) and a test dataset (n = 180) with a ratio of 9:1. The DenseNet model demonstrated promising predictions for both CTSI and Atlanta classification-labeled CT scans, with accuracy greater than 0.7 and AUC-ROC greater than 0.8. Specifically, when trained with CT scans labeled using CTSI, the DenseNet model achieved good performance, with a macro-average F1 score of 0.835 and a macro-average AUC-ROC of 0.980. The findings of this study affirm the feasibility of employing CNN models to predict the severity of AP using enhanced CT scans.
Cultural distances between home and host countries inspire sojourners to engage in intercultural exchange upon repatriation
Authors: Zou Xi , Wang Dan J. , Wildschut Tim , Sedikides Constantine , Cable Dan 
Published: October 2023

AbstractWe examine how cultural distance between sojourners’ country of origin and their host country influences their engagement in intercultural exchange upon return. One might expect intercultural exchange to be much harder between culturally-distant countries than culturally-close ones, given that the former vary more in norms or expected behaviors from one’s home country. Our novel theorizing, however, leads to precisely the opposite expectations. In particular, we hypothesized that cultural distance between the repatriates’ home and host countries would be positively associated with being inspired by the host culture. In turn, this heightened inspiration would predict an increased sharing of knowledge about the host culture upon returning home (intercultural exchange). We combined measurement-of-mediation (Study 1) and experimental-causal-chain (Studies 2–3) approaches to test and confirm these hypotheses in three large samples of repatriates. We first examined whether cultural distance predicted greater intercultural exchange via repatriates’ heightened inspiration (Study 1). We then tested the individual links in this postulated causal chain. In Study 2, a quasi-experiment, we examined the causal path from cultural distance to inspiration. In Study 3, we experimentally manipulated inspiration to test its causal effect on intercultural exchange. The findings advance theory and application around multicultural experience and intercultural exchange.
Enhancing CO2 adsorption capacity of ZIF-8 by synergetic effect of high pressure and temperature
Authors: Jiang Shan , Liu Jingyan , Guan Jiwen , Du Xin , Chen Shoushun , Song Yang , Huang Yining 
Published: October 2023

AbstractMetal–organic frameworks (MOFs) and zeolitic imidazolate frameworks (ZIFs) are promising porous materials for adsorption and storage of greenhouse gases, especially CO2. In this study, guided by the CO2 phase diagram, we explore the adsorption behavior of solid CO2 loaded with ZIF-8 framework by heating the sample under high pressures, resulting in a drastic improvement in the CO2 uptake. The behavior of CO2 under simultaneous high temperature (T) and pressure (P) conditions is directly monitored by in situ FTIR spectroscopy. The remarkable enhancement in CO2 adsorption capability observed can be attributed to the synergetic effect of high T and P: high temperature greatly enhances the transport property of solid CO2 by facilitating its diffusion into the framework; high pressure effectively modifies the pore size and shape via changing the linker orientation and creating new adsorption sites within ZIF-8. Our study thus provides important new insights into the tunability and enhancement of CO2 adsorptive capability in MOFs/ZIFs using pressure and temperature combined as a synergetic approach.