bluuebunny/crossref_metadata_2025_split huggingface dataset:
Atomic-level polarization reversal in sliding ferroelectric semiconductors
Authors: Sui Fengrui , Li Haoyang , Qi Ruijuan , Jin Min , Lv Zhiwei , Wu Menghao , Liu Xuechao , Zheng Yufan , Liu Beituo , Ge Rui , Wu Yu-Ning , Huang Rong , Yue Fangyu , Chu Junhao , Duan Chungang 
Published: May 2024

AbstractIntriguing “slidetronics” has been reported in van der Waals (vdW) layered non-centrosymmetric materials and newly-emerging artificially-tuned twisted moiré superlattices, but correlative experiments that spatially track the interlayer sliding dynamics at atomic-level remain elusive. Here, we address the decisive challenge to in-situ trace the atomic-level interlayer sliding and the induced polarization reversal in vdW-layered yttrium-doped γ-InSe, step by step and atom by atom. We directly observe the real-time interlayer sliding by a 1/3-unit cell along the armchair direction, corresponding to vertical polarization reversal. The sliding driven only by low energetic electron-beam illumination suggests rather low switching barriers. Additionally, we propose a new sliding mechanism that supports the observed reversal pathway, i.e., two bilayer units slide towards each other simultaneously. Our insights into the polarization reversal via the atomic-scale interlayer sliding provide a momentous initial progress for the ongoing and future research on sliding ferroelectrics towards non-volatile storages or ferroelectric field-effect transistors.
Biogenic synthesis, characterization, and in vitro biological investigation of silver oxide nanoparticles (AgONPs) using Rhynchosia capitata
Authors: Ullah Zakir , Iqbal Javed , Gul Farhat , Abbasi Banzeer Ahsan , Kanwal Sobia , Elsadek Mohamed Farouk , Ali M. Ajmal , Iqbal Rashid , Elsalahy Heba H. , Mahmood Tariq 
Published: May 2024

AbstractThe current research aimed to study the green synthesis of silver oxide nanoparticles (AgONPs) usingRhynchosia capitata(RC) aqueous extract as a potent reducing and stabilizing agent. The obtained RC-AgONPs were characterized using UV, FT-IR, XRD, DLS, SEM, and EDX to investigate the morphology, size, and elemental composition. The size of the RC-AgONPs was found to be ~ 21.66 nm and an almost uniform distribution was executed by XRD analysis. In vitro studies were performed to reveal biological potential. The AgONPs exhibited efficient DPPH free radical scavenging potential (71.3%), reducing power (63.8 ± 1.77%), and total antioxidant capacity (88.5 ± 4.8%) to estimate their antioxidative power. Antibacterial and antifungal potentials were evaluated using the disc diffusion method against various bacterial and fungal strains, and the zones of inhibition (ZOI) were determined. A brine shrimp cytotoxicity assay was conducted to measure the cytotoxicity potential (LC50: 2.26 μg/mL). In addition, biocompatibility tests were performed to evaluate the biocompatible nature of RC-AgONPs using red blood cells, HEK, and VERO cell lines (< 200 μg/mL). An alpha-amylase inhibition assay was carried out with 67.6% inhibition. Moreover, In vitro, anticancer activity was performed against Hep-2 liver cancer cell lines, and an LC50value of 45.94 μg/mL was achieved. Overall, the present study has demonstrated that the utilization ofR. capitataextract for the biosynthesis of AgONPs offers a cost-effective, eco-friendly, and forthright alternative to traditional approaches for silver nanoparticle synthesis. The RC-AgONPs obtained exhibited significant bioactive properties, positioning them as promising candidates for diverse applications in the spheres of medicine and beyond.
Motor learning in multijoint virtual arm movements with novel kinematics
Authors: Inubashiri Nagisa , Hagio Shota , Kouzaki Motoki 
Published: May 2024

AbstractHumans move their hands toward precise positions, a skill supported by the coordination of multiple joint movements, even in the presence of inherent redundancy. However, it remains unclear how the central nervous system learns the relationship between redundant joint movements and hand positions when starting from scratch. To address this question, a virtual-arm reaching task was performed in which participants were required to move a cursor corresponding to the hand of a virtual arm to a target. The joint angles of the virtual arm were determined by the heights of the participants’ fingers. The results demonstrated that the participants moved the cursor to the target straighter and faster in the late phase than they did in the initial phase of learning. This improvement was accompanied by a reduction in the amount of angular changes in the virtual limb joint, predominantly characterized by an increased reliance on the virtual shoulder joint as opposed to the virtual wrist joint. These findings suggest that the central nervous system selects a combination of multijoint movements that minimize motor effort while learning novel upper-limb kinematics.
Effect of regionalized structures on rock fracture process
Authors: Yao Xulong , Liu Zhen , Zhang Yanbo , Tao Zhigang , Liang Peng , Zhao Jizhong 
Published: May 2024

AbstractThe structure of rocks plays a crucial role in their failure process. However, it is ignored that the interactions between rock internal structure and the effect of its own evolution on the rock fracture process. To investigate the effect between the evolution law of rock regionalized structures and their interaction relationships during failure. We conducted an experiment using visual acoustic imaging monitoring to study rock failure, introducing a new concept of characteristics of rock structure—regionalized structures. The findings reveal three main types of regionalized structures in rocks: skeleton regions, variable regions, and damage regions. These structures combine to form four categories of complex rock structures: block-type support skeletons, point column-type support skeletons, suspension-type weak support skeletons, and no skeletons. During the failure process, we found that these regionalized structures worked together synergistically to control rock failure. Although the evolutionary relationships among the structures show some similarities, the final fracture states vary significantly. Stress and strain distribution patterns clearly demonstrate that variations in the force capacities and roles of the regionalized structures influence the synergistic evolutionary relationships, ultimately impacting the mode of rock failure. This work provides new insights for further research on rock failure mechanisms and can significantly contribute to preventing rock engineering disasters related to regionalized structures.
Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes
Authors: Moradkhani M. A. , Hosseini S. H. , Song Mengjie , Abbaszadeh A. 
Published: May 2024

AbstractReliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of particular importance for systems involving two-phase flow condensation. However, the available models are only applicable to specific operating conditions and channel sizes. Thus, this study aims at developing universal models to estimate the FPD during condensation inside smooth mini/micro and conventional (macro) channels. An extensive databank, comprising 8037 experimental samples and 23 working fluids from 50 reliable sources, was prepared to achieve this target. A comprehensive investigation on the literature models reflected the fact that all of them are associated with high deviations, and their average absolute relative errors (AAREs) exceed 26%. Hence, after identifying the most effective input variables through the Spearman's correlation analysis, three soft-computing paradigms, i.e., multilayer perceptron (MLP), gaussian process regression (GPR) and radial basis function (RBF) were employed to establish intelligent and dimensionless predictive tools for the FPD based on the separated model suggested by Lockhart and Martinelli. Among them, the most accurate results were presented by the GPR approach with AARE and $$R^{2}$$

R
2

values of 4.10%, 99.23% respectively, in the testing step. The truthfulness and applicability of the models were explored through an array of statistical and visual analyses, and the results affirmed the obvious superiority of the newly proposed approaches over the literature correlations. Furthermore, the novel predictive tools excellently described the physical variations of the condensation FPD versus the operating parameters. Ultimately, the order of importance of factors in controlling the condensation FPD was clarified by a sensitivity analysis.
Doxycycline protects against sepsis-induced endothelial glycocalyx shedding
Authors: de Oliveira João Gabriel Craveiro Gonçalves , Miranda Carlos Henrique 
Published: May 2024

AbstractEndothelial glycocalyx (eGC) covers the inner surface of the vessels and plays a role in vascular homeostasis. Syndecan is considered the “backbone” of this structure. Several studies have shown eGC shedding in sepsis and its involvement in organ dysfunction. Matrix metalloproteinases (MMP) contribute to eGC shedding through their ability for syndecan-1 cleavage. This study aimed to investigate if doxycycline, a potent MMP inhibitor, could protect against eGC shedding in lipopolysaccharide (LPS)-induced sepsis and if it could interrupt the vascular hyperpermeability, neutrophil transmigration, and microvascular impairment. Rats that received pretreatment with doxycycline before LPS displayed ultrastructural preservation of the eGC observed using transmission electronic microscopy of the lung and heart. In addition, these animals exhibited lower serum syndecan-1 levels, a biomarker of eGC injury, and lower perfused boundary region (PBR) in the mesenteric video capillaroscopy, which is inversely related to the eGC thickness compared with rats that only received LPS. Furthermore, this study revealed that doxycycline decreased sepsis-related vascular hyperpermeability in the lung and heart, reduced neutrophil transmigration in the peritoneal lavage and inside the lungs, and improved some microvascular parameters. These findings suggest that doxycycline protects against LPS-induced eGC shedding, and it could reduce vascular hyperpermeability, neutrophils transmigration, and microvascular impairment.
Changes in amino acids, catechins and alkaloids during the storage of oolong tea and their relationship with antibacterial effect
Authors: Cui Jilai , Wu Bin , Zhou Jie 
Published: May 2024

AbstractThe storage process has a significant impact on tea quality. Few is known about effect of storage on quality of oolong tea. This study aimed to assess the effect of different storage times on the key chemical components of oolong tea by measuring changes in catechin, free amino acid, and alkaloid content. Variation in the main substances was determined by principal component analysis and heat map analysis. The results revealed notable effects of the storage process on the levels of theanine, epigallocatechin gallate (EGCG), and glutamine. These findings suggest that these compounds could serve as indicators for monitoring changes in oolong tea quality during storage. Additionally, the study observed an increase in the antibacterial ability of tea over time. Correlation analysis indicated that the antibacterial ability against Micrococcus tetragenus and Escherichia coli was influenced by metabolites such as aspartic acid, threonine, serine, gamma-aminobutyric acid, ornithine, alanine, arginine, and EGCG. Overall, this study presents an approach for identifying key metabolites to monitor tea quality effectively with relatively limited data.
Design and validation of a wearable dynamometry system for knee extension-flexion torque measurement
Authors: Park Sungwoo , Myong Youho , Cho Minwoo , Cho Seung Yeon , Lee Woo Hyung , Oh Byung-Mo , Kim Sungwan 
Published: May 2024

AbstractMuscle strength assessments are vital in rehabilitation, orthopedics, and sports medicine. However, current methods used in clinical settings, such as manual muscle testing and hand-held dynamometers, often lack reliability, and isokinetic dynamometers (IKD), while reliable, are not easily portable. The aim of this study was to design and validate a wearable dynamometry system with high accessibility, accuracy, and reliability, and to validate the device. Therefore, we designed a wearable dynamometry system (WDS) equipped with knee joint torque sensors. To validate this WDS, we measured knee extension and flexion strength in 39 healthy adults using both the IKD and WDS. Comparing maximal isometric torque measurements, WDS and IKD showed strong correlation and good reliability for extension (Pearson’s r: 0.900; intraclass correlation coefficient [ICC]: 0.893; standard error of measurement [SEM]: 9.85%; minimal detectable change [MDC]: 27.31%) and flexion (Pearson’s r: 0.870; ICC: 0.857; SEM: 11.93%; MDC: 33.07%). WDS demonstrated excellent inter-rater (Pearson’s r: 0.990; ICC: 0.993; SEM: 4.05%) and test–retest (Pearson’s r: 0.970; ICC: 0.984; SEM: 6.15%) reliability during extension/flexion. User feedback from 35 participants, including healthcare professionals, underscores WDS's positive user experience and clinical potential. The proposed WDS is a suitable alternative to IKD, providing high accuracy, reliability, and potentially greater accessibility.
Antioxidant and anti-inflammatory function of Eupatorium adenophora Spreng leaves (EASL) on human intestinal Caco-2 cells treated with tert-butyl hydroperoxide
Authors: Zheng-qiang Li , Jun Ni , Xin-yu Zhu , Chao-zhi Zhang , Rui An , Xu Yang , Rong She , Xiao-yan Yang 
Published: May 2024

AbstractChronic non-communicable diseases (CNCDs) pose a significant public health challenge. Addressing this issue, there has been a notable breakthrough in the prevention and mitigation of NCDs through the use of antioxidants and anti-inflammatory agents. In this study, we aim to explore the effectiveness of Eupatorium adenophora Spreng leaves (EASL) as an antioxidant and anti-inflammatory agent, and its potential applications. To construct a cellular model of oxidative damage and inflammation, Caco-2 cells were treated with tert-butyl hydroperoxide (t-BHP). The biocompatibility of EASL-AE with Caco-2 cells was assessed using the MTT assay, while compatibility was further verified by measuring LDH release and the protective effect against oxidative damage was also assessed using the MTT assay. Additionally, we measured intracellular oxidative stress indicators such as ROS and 8-OHdG, as well as inflammatory pathway signalling protein NFκB and inflammatory factors TNF-α and IL-1β using ELISA, to evaluate the antioxidant and anti-inflammatory capacity of EASL-AE. The scavenging capacity of EASL-AE against free radicals was determined through the DPPH Assay and ABTS Assay. Furthermore, we measured the total phenolic, total flavonoid, and total polysaccharide contents using common chemical methods. The chemical composition of EASL-AE was analyzed using the LC–MS/MS technique. Our findings demonstrate that EASL-AE is biocompatible with Caco-2 cells and non-toxic at experimental levels. Moreover, EASL-AE exhibits a significant protective effect on Caco-2 cells subjected to oxidative damage. The antioxidant effect of EASL-AE involves the scavenging of intracellular ROS, while its anti-inflammatory effect is achieved by down-regulation of the NFκB pathway. Which in turn reduces the release of inflammatory factors TNF-α and IL-1β. Through LC–MS/MS analysis, we identified 222 compounds in EASL-AE, among which gentianic acid, procaine and L-tyrosine were the compounds with high antioxidant capacity and may be the effective constituent for EASL-AE with antioxidant activity. These results suggest that EASL-AE is a natural and high-quality antioxidant and anti-inflammatory biomaterial that warrants further investigation. It holds great potential for applications in healthcare and other related fields.
Prediction and causal inference of cardiovascular and cerebrovascular diseases based on lifestyle questionnaires
Authors: Nambo Riku , Karashima Shigehiro , Mizoguchi Ren , Konishi Seigo , Hashimoto Atsushi , Aono Daisuke , Kometani Mitsuhiro , Furukawa Kenji , Yoneda Takashi , Imamura Kousuke , Nambo Hidetaka 
Published: May 2024

AbstractCardiovascular and cerebrovascular diseases (CCVD) are prominent mortality causes in Japan, necessitating effective preventative measures, early diagnosis, and treatment to mitigate their impact. A diagnostic model was developed to identify patients with ischemic heart disease (IHD), stroke, or both, using specific health examination data. Lifestyle habits affecting CCVD development were analyzed using five causal inference methods. This study included 473,734 patients aged ≥ 40 years who underwent specific health examinations in Kanazawa, Japan between 2009 and 2018 to collect data on basic physical information, lifestyle habits, and laboratory parameters such as diabetes, lipid metabolism, renal function, and liver function. Four machine learning algorithms were used: Random Forest, Logistic regression, Light Gradient Boosting Machine, and eXtreme-Gradient-Boosting (XGBoost). The XGBoost model exhibited superior area under the curve (AUC), with mean values of 0.770 (± 0.003), 0.758 (± 0.003), and 0.845 (± 0.005) for stroke, IHD, and CCVD, respectively. The results of the five causal inference analyses were summarized, and lifestyle behavior changes were observed after the onset of CCVD. A causal relationship from ‘reduced mastication’ to ‘weight gain’ was found for all causal species theory methods. This prediction algorithm can screen for asymptomatic myocardial ischemia and stroke. By selecting high-risk patients suspected of having CCVD, resources can be used more efficiently for secondary testing.
Objective numeracy exacerbates framing effects from decision-making under political risk
Authors: Fitz Erin B. , Stecuła Dominik A. , Hitt Matthew P. , Saunders Kyle L. 
Published: May 2024

AbstractWhile Prospect Theory helps to explain decision-making under risk, studies often base frames on hypothetical events and fail to acknowledge that many individuals lack the ability and motivation to engage in complex thinking. We use an original survey of US adults (N = 2813) to test Prospect Theory in the context of the May 2023 debt ceiling negotiations in the US Congress and assess whether objective numeracy moderates framing effects. We hypothesize and find evidence to suggest that most respondents are risk-averse to potential gains and risk-accepting to potential losses; however, high numerates are more risk-averse and risk-accepting to gains and losses, respectively, than low numerates. We also find that need for cognition interacts with numeracy to moderate framing effects for prospective losses, such that higher need for cognition attenuates risk-acceptance among low numerates and exacerbates risk-acceptance among high numerates. Our results are robust to a range of other covariates and in models accounting for the interaction between political knowledge and need for cognition, indicating joint moderating effects from two knowledge domains similarly conditioned by the desire to engage in effortful thinking. Our findings demonstrate that those who can understand and use objective information may remain subjectively persuaded by certain policy frames.
Precise and automated lung cancer cell classification using deep neural network with multiscale features and model distillation
Authors: Tian Lan , Wu Jiabao , Song Wanting , Hong Qinghuai , Liu Di , Ye Fei , Gao Feng , Hu Yue , Wu Meijuan , Lan Yi , Chen Limin 
Published: May 2024

AbstractLung diseases globally impose a significant pathological burden and mortality rate, particularly the differential diagnosis between adenocarcinoma, squamous cell carcinoma, and small cell lung carcinoma, which is paramount in determining optimal treatment strategies and improving clinical prognoses. Faced with the challenge of improving diagnostic precision and stability, this study has developed an innovative deep learning-based model. This model employs a Feature Pyramid Network (FPN) and Squeeze-and-Excitation (SE) modules combined with a Residual Network (ResNet18), to enhance the processing capabilities for complex images and conduct multi-scale analysis of each channel's importance in classifying lung cancer. Moreover, the performance of the model is further enhanced by employing knowledge distillation from larger teacher models to more compact student models. Subjected to rigorous five-fold cross-validation, our model outperforms existing models on all performance metrics, exhibiting exceptional diagnostic accuracy. Ablation studies on various model components have verified that each addition effectively improves model performance, achieving an average accuracy of 98.84% and a Matthews Correlation Coefficient (MCC) of 98.83%. Collectively, the results indicate that our model significantly improves the accuracy of disease diagnosis, providing physicians with more precise clinical decision-making support.
Analysis on efficacy of magnetic resonance lymphangiography using INV-001 in healthy beagle dogs
Authors: Jang Ji Sung , Kim Nari , Kim Mi-Hyun , Lee Do-Wan , Kim Ji-wook , Shin Tae-Hyun , Park Hyo Jung , Kim Kyung Won 
Published: May 2024

AbstractWe aimed to conduct a proof-of-concept study of INV-001 in visualizing lymphatic vessels and nodes without venous contamination and to determine the optimal dose condition of INV-001 for magnetic resonance lymphangiography (MRL) in healthy beagles. MRL was performed using a 3.0-Tesla (T) whole body clinical magnetic resonance imaging (MRI) scanner. A dose-finding study of INV-001 for MRL in beagles (N = 6) was carried out according to an adaptive optimal dose finding design. For the reproducibility study (N = 6), MRL was conducted at selected INV-001 doses (0.056 and 0.112 mg Fe/kg) with a 15 mM concentration. Additionally, an excretion study (N = 3) of INV-001 was conducted by analyzing T1, T2, and T2* maps of the liver and kidney 48 h post-administration. INV-001 administration at doses of 0.056 and 0.112 mg Fe/kg (concentration: 15 mM) consistently demonstrated the visualization of contrast-enhanced lymphatic vessels and nodes without venous contamination in the beagles. The contrast enhancement effect was highest at 30 min after INV-001 administration, then gradually decreasing. No toxicity-related issues were identified during the study. After 48 h, the T1, T2, and T2* values in the liver and both kidneys were found to be comparable to the pre-administration values, indicating thorough INV-001 excretion. The optimal dosing conditions of INV-001 for MRL for contrast-enhanced visualization of lymphatic vessels and nodes exclusively with no venous contamination in beagles was determined to be 0.056 mg Fe/kg with a 15 mM concentration.