bluuebunny/crossref_metadata_2025_split huggingface dataset:
One-pot strategy to prepare flexible and anti-freezing cellulose-based hydrogel electrolytes for all-in-one supercapacitors with high energy density
Authors: Zhang Pingxiu , Li Meng , Jing Yidan , Zhang Xiaomin , Yu Ningya , Su Shengpei , Zhu Jin 
Published: May 2022

Abstract
Cellulose has received extensive attention as a hydrogel electrolyte in flexible energy storage yield due to its renewable, environmentally friendly properties. However, it is still difficult to prepare cellulose-based hydrogel electrolytes for supercapacitors (SCs) with high energy density, flexibility, and a wide operating temperature range. Herein, we successfully prepared cellulose-based hydrogel electrolytes for all-in-one SCs with the help of a little amount of acrylamide (AM) by a one-pot strategy. The composite hydrogel electrolyte (C/PAM15%) possesses excellent mechanical properties with a tensile strength of 18.7 KPa and the optimal elongation at a break of 743.3%. Meanwhile, the SCs15 achieved an excellent electrochemical performance of 168.1 F g− 1 (0.5A g− 1), a high energy density of 23.4 Wh kg− 1 at power density of 501.1 W kg− 1; After 8000 charge/discharge cycle tests, the capacitance retention rate is still 88.5%, showing excellent cycle stability. In addition, the assembled SCs could withstand various bending and wide temperature-tolerant range from − 30 to 80℃. These results indicated that the cellulose-based hydrogel electrolytes attained through the above one-pot method have huge application potential in energy storage devices.
A puzzling insensitivity of magnon spin diffusion to the presence of 180° domain walls in a ferrimagnetic insulator
Authors: Li Ruofan , Riddiford Lauren , Chai Yahong , Dai Minyi , Zhong Hai , Li Bo , Li Peng , Yi Di , Broadway David , Dubois Adrien , Maletinsky Patrick , Hu Jia-Mian , Suzuki Yuri , Ralph Daniel , Nan Tianxiang 
Published: May 2022

Abstract
We present room-temperature measurements of magnon spin diffusion in epitaxial ferrimagnetic insulator MgAl0.5Fe1.5O4 (MAFO) thin films near zero applied magnetic field where the sample forms a multi-domain state. Due to a weak uniaxial magnetic anisotropy, the domains are separated primarily by 180° domain walls. We find, surprisingly, that the presence of the domain walls has very little effect on the spin diffusion – nonlocal spin transport signals in the multi-domain state retain at least 95% of the maximum signal strength measured for the spatially-uniform magnetic state, over distances at least five times the typical domain size. This result is in conflict with simple models of interactions between magnons and static domain walls, which predict that the spin polarization carried by the magnons reverses upon passage through a 180° domain wall.
PHGDH as a Prognostic-Related Biomarker in Endometrial Carcinoma Correlating with Immune Infiltrates
Authors: Zhang He , Kong Weimin , Chen Shuning , Zhao Xiaoling , Luo Dan , Xie Yunkai , Zhang Heng 
Published: May 2022

Abstract
Background
PHGDH (Phosphoglycerate Dehydrogenase) is the first branch enzyme in the serine biosynthetic pathway and plays a vital role in several cancers. However, little is known about the clinical significance of PHGDH in endometrial cancer.
Methods
Clinicopathological data of endometrial cancer were downloaded from the Cancer Genome Atlas database (TCGA). First, the expression of PHGDH in pan-cancer was investigated, as well as the expression and prognostic value of PHGDH in endometrial cancer. The effect of PHGDH expression on the prognosis of endometrial cancer was analyzed by Kaplan-Meier plotter and Cox regression. The relationship between PHGDH expression and clinical characteristics of endometrial cancer was investigated by logistic regression. Receiver operating characteristic (ROC) curves and nomograms were developed. Possible cellular mechanisms were explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, the Gene Ontology (GO), and gene set enrichment analysis (GSEA). Finally, TIMER and CIBERSORT were used to analyze the relationship between PHGDH expression and immune infiltration. CellMiner™ was used to analyze the drug sensitivity of PHGDH.
Results
The results showed that PHGDH expression was significantly higher in endometrial cancer tissues than in normal tissues at mRNA and protein levels. Kaplan-Meier survival curves showed that patients in the high expression group had shorter overall survival (OS) and disease-specific survival (DSS) than patients in the low PHGDH expression group. Multifactorial COX regression analysis further supported that high PHGDH expression was an independent risk factor associated with prognosis in patients with endometrial cancer. The results showed estrogen response, mTOR, K-RAS, and epithelial mesenchymal transition (EMT) were differentially elevated in the high-expression group of the PHGDH group. CIBERSORT analysis showed that PHGDH expression is related to the infiltration of multiple immune cells. When PHGDH is highly expressed, the number of CD8+T cells decreases.
Conclusions
PHGDH plays a vital role in the development of endometrial cancer, which is related to tumor immune infiltration, and can be used as an independent diagnostic and prognostic marker for endometrial cancer.
Sensitivity of the Blocking-North Atlantic Oscillation Relationship to Space, Time, and Index
Authors: Besong Kayla Ann , Kirtman Ben 
Published: May 2022

Abstract
A new perspective of atmospheric blocking is brought to light in this study that considers various analysis techniques and the implications of each on blocking statistics, impacts on weather variables due to blocking events, and the blocking-North Atlantic Oscillation (NAO) relationship. A PV-𝜃 blocking index is used alongside a direction of breaking metric to classify blocking as either cyclonic or anticyclonic based on the Rossby wave breaking occurring at onset. These results are compared against those found using an absolute geopotential height (AGP) index. It can be seen throughout the study that differing results will be achieved based on which method is applied. Of the largest differences is in the wintertime correlation of blocking with the NAO, with AGP blocking results correlating much more strongly than those found with the PV-𝜃 index. Based on this analysis, it can be concluded that different blocking events are being measured between the two indices. Strengths and weaknesses of each index further suggest that the AGP index is more advantageous for correlation and extreme event analysis and the PV-𝜃, for detecting nosier signals such as a small, potential eastward shift in the NAO. The differences and similarities between blocking index selection, cyclonic or anticyclonic classification, relationship with the NAO, and breakdown into North Atlantic subregions were all considered in further investigation of blocking analysis sensitivity. Specifically, this was extended to impacts on weather variables via composites across all seasons and to blocking duration statistics where little consistency across all comparisons are found.
Study on high-speed vibration cutting of titanium alloy considering cutting edge radii
Authors: Zhang Xu , Cheng Yaotian , Lv Mingqiang , Miu Xuchao , Xie Chaoyu 
Published: May 2022

Abstract
Ultrasonic vibration cutting (UVC) is an advanced machining method used to improve machining performance and surface quality in the manufacturing industry. However, the separation characteristic disappears when the cutting speed exceeds the maximum vibration speed, limiting its use in low-speed machining. Therefore, this study used the finite element method (FEM) to study the high-speed vibration cutting (HVC) processing performance of titanium alloys. High-speed vibration cutting is a precision machining method with a smaller cutting depth and feed rate, so it is necessary to consider the influence of the cutting edge radii on the cutting process. The cutting edge radii on high-speed vibration cutting and the influence of the traditional cutting process is discussed. The results show that the change in the minimum uncut chip thickness caused by changing the cutting edge radii during precision cutting has a significant influence on the experimental results. In addition, a simulation model was established and a comprehensive numerical analysis and comparison of high-speed vibration cutting, ultrasonic vibration cutting and conventional cutting (CC) were performed with respect to tool wear, cutting temperature, cutting force and stress distribution. The simulation results indicate that the tool wear depth of traditional cutting during high-speed cutting is up to three times that of high-speed vibration cutting, and high-speed vibration cutting weakens the influence of the cutting edge radii. But this new vibration cutting method did not significantly reduce the cutting temperature under dry cutting conditions.
Boron-Magnet Nanoparticles Capture Lipopolysaccharide and Peptidoglycan for Bacteria-Infected Wound Healing
Authors: Meng Yun , Chen Lijie , Chen Yang , Shi Jieyun , Zhang Zheng , Wang Yiwen , Wu Fan , Jiang Xingwu , Yang Wei , Zhang Li , Wang Chaochao , Meng Xianfu , Wu Yelin , Bu Wenbo 
Published: May 2022

Abstract
Bacteria and excessive inflammation are two main factors causing non-healing wounds. However, current studies have mainly focused on the inhibition of bacteria survival for wound healing while ignoring the excessive inflammation induced by dead bacteria or their released endotoxin, lipopolysaccharide (LPS) or peptidoglycan (PGN). Herein, a boron-magnet strategy was proposed to prevent both infection and excessive inflammation by synthesizing a class of reactive metal boride nanoparticles (MB NPs). The MB NPs were slowly hydrolyzed to generate boron dihydroxy groups and metal cations while generating a local alkaline microenvironment with low levels of reactive oxygen species. This microenvironment promoted MB NPs to capture LPS/PGN through an esterification reaction, which not only enhanced metal cation-induced bacterial death but also inhibited the dead bacteria- or endotoxin-induced excessive inflammation, resulting in accelerated wound healing. Taken together, this boron-magnet strategy provides a new approach to the treatment of bacterial infection and the accompanying inflammation.
Breast Cancer Prediction using Ensemble Voting Classifiers in Next Generation Sequences
Authors: Kurian Babymol , Jyothi V.L. 
Published: May 2022

Abstract
Breast cancer has become the greatest frequent cancer among worldwide. Machine learning techniques contribute much tocancer prognosis. The prime focus of thework is to enhance the prognosis of breast cancer at an earlier stage using an ensemble of machine learning classifiers. Next generation genetic sequences of homo sapiens,BRCA1and BRCA2from National Centre for Biotechnology Information were derived for prediction of breast cancer. The proposed ensembled classifiers by hard voting and soft voting,combinedmodelslike Decision Tree technique, SVMalgorithm, LR statistical model, Linear Discriminant analysis model, Naive Bayes classifier and k-nearest neighbours’ algorithm.Five ensembled models from 6 machine learning classifiers were concatenated for the prediction purpose. Classification accuracy of ensemble hard voting and soft voting classifiers were evaluated statistically.Soft voting classifier for model 1(DT & SVM) and model2(DT, SVM&LR) achieved greatest value for classification performance metrics. Among all ensembled models, model 1 as well as model 2 achieved maximum classification precision of 94%.
Programmable Surface Plasmonic Neural Networks
Authors: Gao Xinxin , Ma Qian , Gu Ze , Cui Wen Yi , Liu Che , Zhang Jingjing , Cui Tie Jun 
Published: May 2022

Abstract
Recently, some new forms of artificial intelligence computing hardware and chips have been presented. However, most of them have difficulties to simultaneously achieve advantages of light-speed computing, programmable weight matrix, and programmable nonlinear activation functions. Here, we propose a programmable surface plasmonic neural network (SPNN) with programmable weights and activation functions based on a spoof surface plasmon polariton (SSPP) platform, which can perform intelligent functions and sense electromagnetic (EM) waves at nearly light speed. We demonstrate a parallel coupling SSPP structure loaded with varactors to introduce four paths with tunable transmitting parameters. On this multi-port architecture, we further establish a real-time control and feedback method to enable arbitrarily designable activation functions under a detecting feedback loop. Experimental results show that a four-in and four-out fully-connected super-neuron can fulfill independently adjustable weights and programmable activation functions, where each input can be sensed for arbitrarily programming. To comprehensively show the above capabilities, we design and demonstrate experimentally a wireless communication system based on the SPNN for image decoding and recovery. We further illustrate a partially connected SPNN using the super-neurons with a high prediction accuracy. The proposed concept paves a new way for artificial intelligence devices, stimulating the fascinating fields like large-scale EM computing and communication systems in the future.
Analysis of the Contribution of the Groundwater Level Driving Factors Based on Improved Radial Basis Function Neural Network
Authors: Moyu CHEN , LI Yancang , Xiaohui LEI 
Published: May 2022

Abstract
Groundwater resources compose the essential foundation for the ecological conservation of the Chahannauer Basin. Exploring its spatial-temporal variation characteristics based on historical data provides a scientific basis for the restoration of the Chahannauer Basin and the sustainable utilization of groundwater. GIS technology was used to analysis the spatial interpolation of groundwater level in the Zhangjiakou Chaganore River Basin. Variation tendency of driving factors to groundwater level were assessed by The Mann-Kendall test, ordered clustering and nonlinear pettitt test. The radial basis function neural network (RBFNN) method was optimized to quantitatively assess the corresponding contribution of each driving factor to groundwater level. The results indicate a generally clear downward trend of the groundwater level in the area, especially after 2004, it has decreased significantly and after 2012 the underwater level showed a slight elevation. Among all the driving factors, precipitation and evaporation increased slightly while runoff showed a significant downward trend throughout the year. The groundwater extraction is positively correlated with the groundwater level dynamics, in which groundwater extraction has the largest contribution to groundwater level, followed by precipitation, runoff and evaporation. Variations of the groundwater level in the study area are temporally and specially affected mainly by human activities.
Metabolic Syndrome Reduces Long-term Survival In Colorectal Cancer Patients without affecting postoperative complications: A Propensity Score-matched Analysis
Authors: Zhu Ce , Cai Wentao , Zheng Jingwei , Yang Hui , You Tao , Chen Jian , Yu Yaojun , Shen Xian , Li Liyi 
Published: May 2022

Abstract
Purpose: Metabolic syndrome (MetS) is associated with poor prognosis in many cancers. However, few studies have comprehensively analyzed the relationship between metabolic syndrome and the overall survival of colorectal cancer (CRC) patients. Our study aimed to comprehensively analyze whether MetS could affect postoperative complications and long-term survival in patients with CRC.Patients and methods: We included patients who underwent colorectal cancer resection at our center between January 2016 and December 2018 for this analysis. The propensity score matching analysis was performed to reduce the bias. Dividing CRC patients into MetS and Non-MetS groups based on whether they had MetS. Univariate and multivariate analyses were used to identify the risk factors affecting overall survival (OS).Results: A total of 268 patients were included in the study, of whom 120 patients were included for further analysis after propensity score matching. No significant differences were found in Clinicopathological features between the MetS group and Non-MetS group after matching. Patients with MetS had a shorter OS compared with non-MetS (P=0.027), however the postoperative complications were not significantly different between them. In multivariate analysis, We found MetS (hazard ratio [HR]=1.997, P=0.042), tumor-node-metastasis (TNM) stage (HR=2.422, P=0.003), and intestinal obstruction (HR=2.761, P=0.010) were independent risk factors for OS. Conclusion: Metabolic syndrome affects long-term survival of CRC patients without affecting postoperative complications.
A feasibility RCT as a first step towards evaluating effectiveness of a digital health dashboard in Preventive Child Health Care. A Mixed Methods approach
Authors: Weijers Miriam , Boumans Nicolle P.G. , Zwet Jonne Van der , Feron Frans J.M. , Bastiaenen Caroline H.G. 
Published: May 2022

Abstract
BackgroundWithin preventive Child Health Care (CHC) the 360°CHILD-profile has been developed. This multifunctional tool visualises and theoretically orders holistic health data in line with the International Classification of Functioning, Disability and Health. It is anticipated that evaluating effectiveness of the CHILD-profile within the preventive CHC-context is complex.MethodsDuring the first introduction of the CHILD-profile in CHC-practice, a feasibility RCT was executed to investigate RCT-procedures thoroughly and explore applicability of potential outcome measures for assessing accessibility an transfer of health information. CHC-professionals (n=38) recruited parents (n=30) who visited the CHC for their child (age 0- 16). Parents were randomised to “care as usual” (n=15) or “care as usual with, in addition, the availability of a personalised CHILD-profile during six months” (n=15). Quantitative data on RCT-feasibility were collected on recruitment, retention, response, compliance rates and outcome data on accessibility and transfer of health information (n=26). Subsequently, thirteen semi-structured interviews (5 parents, 8 CHC-professionals) and a member check focus group (6 CHC-professionals) were performed to further explore and gain deeper understanding of quantitative findings.ResultsThe used randomisation strategy, measurements and interventions were feasible. Recruitment of parents by CHC-professionals appeared to be problematic and influenced by organisational factors within the CHC-context like insufficient facilitation by CHC-management. The used outcome measures showed skewed outcome data with high percentages of positive scores in both groups and a low applicability of relevant items on accessibility and transfer of health information.ConclusionsThis Mixed Methods feasibility study enabled to gain a broad insight in the complexity of executing an RCT within the CHC-context. This context requires a more complex randomization strategy and trained research staff instead of CHC-professionals to recruit parents. Measures, potentially for evaluating CHILD-profile’s effectiveness, must be further explored and thoroughly piloted before proceeding the evaluation process. Overall findings revealed that executing an RCT within the context of evaluating CHILD-profile’s effectiveness in the CHC-setting will be much more complex, time-consuming and costly than expected. Alternative designs including Mixed Methods research must be considered for the next phases of the downstream validation process. Trial registrationNTR 6909; https://www.trialregister.nl/trial/6731
Feasibility and pilot study of effects of passive heat therapy on cardiovascular performance and laboratory values in older adults
Authors: Flynn Brigid , Vitztum Michelle , Miller Joshua , Houchin Abigail , Kim Jaromme , He Jianghua , Geiger Paige 
Published: May 2022

Abstract
Purpose: The purpose of the present study was to ascertain if repeated heat therapy sessions in a hot tub (40.5o C) would be tolerated by older adults and result in cardiovascular benefit. The secondary purpose was to identify the utility of a noninvasive hemodynamic monitor while submerged in hot water.Methods: Fifteen volunteers > 50 years old underwent 8-10 separate 45-minute hot tub session over 14 days. Participants had maximal oxygen consumption (VO2 max) and other cardiovascular data measured via exercise treadmill testing prior to and after all hot tub sessions. Participants also wore noninvasive fingertip volume clamp monitors while submerged in hot water that calculated systemic vascular resistance, heart rate, blood pressure and cardiac index in order to ascertain feasibility and utility of this data. Other laboratory studies were obtained pre- and post-intervention.Results: All participants completed the study protocol. We found no differences in the pre- to post-intervention VO2 max (p=0.842). The noninvasive hemodynamic monitors successfully recorded cardiac index, systemic vascular resistance, heart rate and blood pressure. Only cardiac index had a trend of significance (p=0.044) with a decrease from 4 L/min to 3.54 L/min, however much of this trend can be attributed to one participant. Exercise duration was longer post-hot tub therapy (571 seconds versus 551 seconds; p=0.026). There were no differences in laboratory measurements.Conclusions: Repeated heat therapy via a hot tub along with pre- and post-intervention exercise stress testing is tolerated by older participants. However, 8-10 hot tub sessions did not result in positive changes in cardiovascular fitness or laboratory values.
Earthquake characteristics and structural properties of the Southern Tyrrhenian basin from full seismic wave simulations.
Authors: Nardoni Chiara , De Siena Luca , Magrini Fabrizio , Cammarano Fabio , Maeda Takuto , Mattei Elisabetta 
Published: May 2022

Abstract
Modelling the response of seismic wavefields to sharp lateral variations in crustal discontinuities is essential for the application of seismic tomography and the correction of path effects in earthquake source characterization. Researchers generally focus on travel times and amplitudes of a limited number of phases, simplifying the underlying physics and reducing computational times. However, this approach offers insufficient resolution across oceanic basins while leaving a large part of the information contained in seismic records unexploited. Here, we model the sensitivity of wave propagation to crustal structural variations in the Southern Tyrrhenian basin by fitting the data produced by the Accumoli earthquake (Central Italy, 2016) and recorded at the national INGV (Istituto Nazionale di Geofisica e Vulcanologia) network. As a result, we reconstruct the velocity, Moho, and sediment structures in the basin and improve estimates of earthquake-source characteristics. P-, S- and coda-wave are first modelled and fitted to data acquired by a single station in Sicily; then, the procedure is extended to seismic receivers of the INGV network that contour the basin. The optimal fits are obtained using a deep Moho (~ 18 km) in the middle of the basin and a crustal pinch between the basin and the continental crust in Sicily. The deep Moho corresponds to the Issel Bridge, a portion of continental crust trapped between the Vavilov and Marsili volcanic centres. The Accumoli earthquake is optimally described using a boxcar source time function with a rise time of 6 s, a depth of 7.3 km, and the radiation pattern previously identified by INGV. Correlation analyses performed on data recorded across the network demonstrate the improvement in P-, S- and coda waveform fitting relative to previous Moho models obtained inverting single-phase observations. The early S-wave coda comprises trapped and reverberating phases that are particularly sensitive to crustal interfaces. With our approach, full-waveform simulations become a viable strategy for the inversion of Moho depths across the Southern Tyrrhenian using regional earthquakes.