bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of tissue oxygen saturation levels with skeletal muscle injury in the critically ill
Authors: Sugiya Ryuji , Arizono Shinichi , Higashimoto Yuji , Kimoto Yuta , Shiraishi Masashi , Mizusawa Hiroki , Tawara Yuichi , Shigeoka Hironori , Bakker Jan , Shinozaki Koichiro 
Published: August 2023

Abstract
Objectives:
This study aimed to investigate the association between the level of tissue oxygen saturation (StO2) and quadriceps/skeletal muscle dysfunction, measured using the Medical Research Council (MRC) scale and ultrasonography, in critically ill patients.
Methods:
Thirty-four patients hospitalized at the Critical Care Medicine Center of Kindai University Hospital, between January 2022 and March 2023, were enrolled in this study. The StO2 of the quadriceps muscle was measured via near-infrared spectroscopy. Muscle atrophy was measured by the thickness, cross-sectional area (CSA), and echo intensity of the rectus femoris (RF). These values were evaluated every alternate day until 13 days after admission or until discharge, whichever occurred first. Muscle weakness was assessed using the sum score of the MRC scale (MRC-SS), with the patient sitting at bedside.
Results:
The mean age of the patients was 67.3 ± 15.3 years, and 20 (59%) were men. Seven patients (21%) were admitted for trauma, and 27 (79%) were admitted for medical emergencies or others. The mean score for the MRC-SS was 51.0 ± 7.9 points. RF thickness and CSA significantly decreased after day 5 (p<0.05). There were no significant changes in StO2 levels during hospitalization. However, there were positive correlations between the nadir StO2 during hospitalization and MRC-SS, and changes in RF thickness and CSA at discharge (r=0.41, p=0.03; r=0.37, p=0.03; and r=0.35, p=0.05, respectively).
Conclusion:
StO2 in the quadriceps muscle may be useful for predicting muscle atrophy and dysfunction in patients with critical illnesses.
Comprehensive Characterization of the structure of Zr-based metallic glasses
Authors: Lahiri Debdutta , Krishna K V Mani , Verma Ashok K. , Modak P. , Vishwanadh B , Chattopadhyay Soma , Shibata Tomohiro , Sharma S. K. , Sarkar Sudip Kumar , Clifton Peter H. , Biswas A. , Garg Nandini , Dey G. K. 
Published: August 2023

Abstract
Structure of metallic glasses fascinates as the generic amorphous structural template for ubiquitous systems. Its specification necessitates determination of the complete hierarchical structure, starting from short-range-order (SRO) → medium-range-order (MRO) → bulk structure and free volume (FV) distribution. This link has largely remained elusive since previous investigations adopted one-technique-at-a-time approach, focusing on limited aspects of any one domain. Reconstruction of structure from experimental data inversion is non-unique for many of these techniques. As a result, complete and precise structural understanding of glass has not emerged yet. In this work, we demonstrate the first experimental pathway for reconstruction of the integrated structure, for Zr67Ni33 and Zr52Ti6Al10Cu18Ni14 glasses. Our strategy engages diverse (7) multi-scale techniques [XAFS, 3D-APT, ABED/NBED, FEM, XRD, PAS, FHREM] on the same glass. This strategy complemented mutual limitations of techniques and corroborated common parameters to generate complete, self-consistent and precise parameters. Further, MRO domain size and inter-void separation were correlated to identify the presence of FV at MRO boundaries. This enabled the first experimental reconstruction of hierarchical subset: SRO → MRO → FV→ bulk structure. The first ever image of intermediate region between MRO domains emerged from this link. We clarify that determination of all subsets is not our objective; the essence and novelty of this work lies in directing the pathway towards finite solution, in the most logical and unambiguous way.
PPM1F regulates ovarian cancer progression by affecting the dephosphorylation of ITGB1
Authors: Leng Yahui , Li Zihang , Ma Yongqing , Zhou Yang , Liu Jiaqi , Tian Tian , Feng Wenxiao , Pan Zhongqiu , Zhang Huimei , Zhao Xuan , Liu Yanni , Shi Qin , Huang Chengyang , Liu Ao , Wang Wenlong , Wang Tianhang , Liu Song , Ren Qiulei , Shen Li , Zhang Te , Zhao Hongyan 
Published: August 2023

Abstract
Background
PPM1F has been shown to play diverse biological functions in the progression of multiple tumors. PPM1F controls the T788/T789 phosphorylation switch of ITGB1 and regulates integrin activity. However, the impacts of PPM1F and ITGB1 on ovarian cancer (OV) progression remain unclear. whether there is such a regulatory relationship between PPM1F and ITGB1 in ovarian cancer has not been studied. Therefore, the purpose of this study is to elucidate the function and mechanism of PPM1F in ovarian cancer.
Methods
The expression level and survival curve of PPM1F were analyzed by databases. Gain of function and loss of function were applied to explore the function of PPM1F in ovarian cancer. Tumor formation assay in nude mice showed that knockdown of PPM1F inhibited tumor formation. We testified the effect of PPM1F on ITGB1 dephosphorylation in ovarian cancer cells by co-immunoprecipitation and western blotting. Loss of function was applied to investigate the function of ITGB1 in ovarian cancer. ITGB1-mut overexpression promotes the progression of ovarian cancer. Rescue assays showed the promoting effect of ITGB1-wt on ovarian cancer is attenuated due to the dephosphorylation of ITGB1-wt by PPM1F.
Results
PPM1F and ITGB1 play an oncogene function in ovarian cancer. PPM1F regulates the phosphorylation of ITGB1, which affects the occurrence and development of ovarian cancer.
Detecting smishing attacks on smartphones: a comparative study between supervised and unsupervised learning techniques
Authors: SIF-EDDINE Mouna , MAZRI Tomader 
Published: August 2023

Abstract
Smishing is a phishing technique that involves sending short messages (SMS) to a smartphone user's inbox to defraud them and disclose their personal information using social engineering. This type of attack is often used for financial theft by attackers. The excessive multiplication of these attacks leads cyber security researchers to employ advanced detection techniques such as machine learning. Our work involves evaluating the detection performance of selected Machine Learning algorithms using supervised and unsupervised learning and comparing the results obtained regarding detection accuracy. For supervised learning, we chose to work with these classification algorithms, which gave the following results: Naive Bayes (96%), Decision Tree (94%), Random Forest (95%), and Multi-layer perceptron (92.2%). For unsupervised learning, we chose the Gaussian Mixture Model algorithm, which gave an overall accuracy of 59%. The results demonstrate that supervised learning models are better at detecting smishing attacks than unsupervised learning models, which require the parallel intervention of other analysis techniques, such as behavioral analysis, to improve the detection of such types of attacks.
Trends difference in prevalence of hypertension subtypes and hypertension control in US adults as defined by 2017 ACC/AHA Guideline and 2003 JNC7 Guideline
Authors: Huang Zengfa , Du Xinyu , Tang Ruiyao , Wang WanPeng , Zhou Mi , Ding Yi , Liu Ni , Yang Yang , Li Xiang , Zhao Xu , Zhou Zhiqiang , Wang Xiang 
Published: August 2023

Abstract
This study sought to compare the trends difference in prevalence of hypertension subtypes and hypertension control in US adults, by 2017 ACC/AHA and 2003 JNC7 guidelines. Serial cross-sectional analysis of National Health and Nutrition Examination Survey data of U.S. adults with hypertension from 1999–2000 to 2017–2018 were included. Hypertension was defined with two guidelines and BP control among those with hypertension was determined by the two guidelines respectively. Hypertension grades, hypertension subtypes and hypertension accompanied with other diseases were also analyzed. A total of 22371 and 17411 participants meet the diagnostic criteria of 2017 ACC/AHA guideline and 2003 JNC7 guideline, respectively in the current study. Among all adults included in the analysis, the crude percentage of hypertension grades, hypertension subtypes and hypertension with other accompanying disease or risk (10-year predicted cardiovascular disease risk ≥ 10%, CVD history, diabetes, CKD) defined by the 2017 ACC/AHA guideline were all higher than those based on the 2003 JNC7 guideline. Among all adults with hypertension, the proportion of taking antihypertensive medication increased from 44.5% in 1999–2000 to 58.5% in 2017–2018 according to the 2017 ACC/AHA guideline compared with 60% in 1999–2000 to 74.5% in 2017–2018 according to the 2003 JNC7 guideline. Among all adults with hypertension accompanied with other diseases, hypertension with 10-year predicted cardiovascular disease risk ≥ 10% showed lowest proportion of taking antihypertensive medication, which increased from 54.9% in 1999–2000 to 69.7% in 2017–2018 and 65.7% in 1999–2000 to 79.2% in 2017–2018 based on the 2017 ACC/AHA guideline and the 2003 JNC7 guideline, respectively. The proportion of controlled BP based on the 2003 JNC7 guideline showed higher than those based on the 2017 ACC/AHA guideline and both of them revealed the similar trend. Compared with the 2003 JNC7 guideline, the 2017 ACC/AHA guideline result in increasing in both the proportion of hypertension, hypertension grades and hypertension subtypes among all adults with hypertension, and decreasing the proportion of hypertension accompanied with other diseases, the proportion of taking antihypertensive medication among all adults with hypertension, hypertension grades, hypertension subtypes or hypertension accompanied with other diseases, and the proportion of controlled BP among taking antihypertensive medication with hypertension and hypertension accompanied with 10-year ASCVD risk ≥ 10% and CVD history.
Spatially varying motion blurred fruit image restoration based on an end-to-end multi-scale conditional generative adversarial networks
Authors: Tao Dan , Zhang Sheng , Qiu Guangying , Zhan Baishao 
Published: August 2023

Abstract
During the process of automatic fruits picking by the robot in the orchard, the movements of the robot invariably bring the shakes of the camera, resulting in spatially-varying motion blurs that may impair the accuracy of fruit detection and localization. Therefore, this research proposes a spatially-varying motion blurred fruit image restoration approach based on an end-to-end multi-scale conditional generative adversarial network. Firstly, by adopting a multi-scale residual module, it effectively improves the network's ability to extract the features and reduce the network parameters quantity. Then, it builds a generator network with multi-scale residual blocks as the main body. Additionally, to help the generator in synthesizing the simulated images, the relativistic discriminator structures are employed to evaluate the probability that the real data is more realistic than the simulated data. The low quality orchard fruit image restoration is effectively accomplished by the model, in which the weights are obtained by the GoPro training dataset. The model presented in this paper performs better than other widely-used image recovery algorithms in terms of both qualitative and quantitative indicators, which are demonstrated by the simulated and real experiments. Furthermore, this research can also successfully restore other motion-blurred images in the agricultural field.
Fourth order numerical method for solving third order nonlinear ODE with integral boundary conditions
Authors: A Dang Quang , Long Dang Quang 
Published: August 2023

Abstract
In this paper we establish the existence results and construct fourth order numerical method for solving fully third order nonlinear differential equation with integral boundary conditions. The method is based on the discretization of an iterative method on continuous level with the use of the trapezoidal quadrature formulas with corrections. Some examples demonstrate the applicability of the theoretical results of existence and uniqueness of solution and the convergence order 4 of the proposed numerical method. The approach used for the third order nonlinear differential equation with integral boundary conditions can be applied to differential equations of any orders.
Development and validation of nomograms for predicting the prognosis of early and late recurrence of advanced gastric cancer after radical surgery
Authors: Liu Chenming , Lu Jialiang , An Liang 
Published: August 2023

Abstract
Objective In this study, we aimed to explore the risk factors influencing post recurrence survival (PRS) of early recurrence (ER) and late recurrence (LR) in stage advanced gastric cancer (AGC) patients after radical surgery, respectively, and to develop predictive models in turn.
Methods Medical records of 192 AGC patients who recurred after radical gastrectomy were retrospectively reviewed. They were randomly divided into the training and validation set at a ratio of 2:1. Nomograms were built based on risk factors influencing PRS of ER and LR explored by Cox regression analyses, respectively. Concordance index (C-index) values and calibration curves were used to evaluate predictive power of nomograms.
Results Body mass index < 18.5 kg/m2, prealbumin level < 70.1 mg/l, positive lymph nodes ratio ≥ 0.486 and palliative treatment after recurrence were independent risk factors for the prognosis of ER. In contrast, prealbumin level < 170.1 mg/l, CEA ≥ 18.32 μg/l, tumor diameter ≥ 5.5 cm and palliative treatment after recurrence were independent risk factors for the prognosis of LR. The C-index value was 0.801 and 0.772 for ER and LR in the training set, respectively. The calibration curves of validation set showed a C-index value of 0.744 and 0.676 for ER and LR, respectively.
Conclusions Nomograms which were constructed to predict the prognosis of ER and LR of AGC after surgery showed great predictive power and could provide reference for clinicians’ treatment strategies to some extent.
Electroconvulsive therapy for adolescents with major depressive disorder and suicidality：retrospective comparison between responders and nonresponders
Authors: Ren Hao , Wang Xinglian , Zhang Zheng , Zhong Xiufen , Luo Qinghua , Qiu Haitang , Huang Yan 
Published: August 2023

Abstract
Background: For adolescents with Major Depressive Disorder (MDD) who exhibit suicidal tendencies, Electroconvulsive Therapy (ECT) is increasingly adopted in clinical practice. Yet, the precise mechanisms behind its effectiveness remain elusive, and studies on factors that influence treatment outcomes are scarce.
Methods: In this retrospective comparative study, we included all adolescent MDD patients with suicidal tendencies admitted to the Psychiatry Department of the First Affiliated Hospital of Chongqing Medical University between 2017 and 2021 and received ECT treatment. By collecting data on personal history, medical history, and standard treatment features, we established demographic, disease, medication, and ECT treatment factors variables.Patients were divided into effective and ineffective groups based on the Clinical Global Impressions-Improvement (CGI-I) scale scores, and differences between outcomes were compared. Logistic regression analyses were used to identify factors independently associated with ineffectiveness.
Results: A total of 494 adolescent MDD patients with suicidal behavior who received ECT were included in this study. According to CGI-I scores, the treatment was effective in 361 patients (73.1%) and ineffective in 133 patients (26.9%). Logistic regression analyses showed that 8 to 12 and 12 to 16 ECT sessions reduced the risk of ineffectiveness compared to fewer than 4 sessions. The risk of ineffectiveness decreased with age and increased with comorbidity with obsessive-compulsive disorder (OCD). Compared to sertraline, escitalopram was associated with a heightened risk of futility, whereas olanzapine and aripiprazole demonstrated a reduced risk when contrasted with quetiapine.
Conclusions: ECT's ineffectiveness in treating adolescent MDD with suicidal behavior decreases with age, and comorbidity with OCD significantly increases the risk of treatment failure. Fewer than 8 ECT sessions may hinder achieving satisfactory results.
Application of self-attention in offline handwritten Chinese character recognition
Authors: Chen Zhanghui , Ma Guochun 
Published: August 2023

Abstract

To improve the accuracy of offline handwritten Chinese character recognition (offline HCCR), combined with self-attention, this paper proposes a collaborative multi-model approach for offline HCCR. Most existing offline HCCR models use different network structures to obtain different features, which may lead to different results in terms of accuracy, and the results that errors occurred may also be different. Utilizing this feature, combined with self-attention, we propose our method hoping to improve their accuracy. In this paper, five models, including AlexNet, VGG16, GoogLeNet, ResNet34 and ResNet50, are selected and modified as base models for offline HCCR, and the outputs of the adopted 2, 3, 4, and 5 models are corrected by the self-attention fusion module. Our methods are tested on the evaluation dataset of the ICDAR 2013 Chinese Handwriting Recognition Contest. Our HCCR results obtained are at least 0.485, 0.786, 0.981 and 1.065 percentage points higher than the highest accuracy of all 2, 3, 4 and 5 base models, respectively. The experiments show that our method is effective in improving the accuracy of offline HCCR.
Efficacy of delayed pegfilgrastim administration following consolidation therapy with high-dose cytarabine (HiDAC) in acute myeloid leukemia (AML) patients
Authors: Yingling Spencer K. , Francis Joshua , Seago Kelsea , Safi Salah Ud Din , Wen Sijin , Cumpston Aaron 
Published: August 2023

Abstract
Purpose: To study the effects of delaying pegfilgrastim administration following high-dose cytarabine (HiDAC) consolidation in AML patients on time to neutrophil count recovery, infectious complications, and survival.
Methods: Single-center retrospective chart review of 55 patients receiving pegfilgrastim as early administration (within 72 hours) or delayed administration (after 72 hours) of HiDAC.
Results: The difference in neutrophil recovery time was similar between the early and delayed groups (18 days versus 19 days, P<0.28). Infections were seen in four patients in the early administration group following chemotherapy compared to none in the delayed group (p=0.04). Febrile neutropenia rates were also decreased in the delayed administration group (23.1% versus 10.3%, p=0.28) as well as longer median survival (16 months versus 19 months, p=0.69) and overall survival (21 months versus 31 months, p=0.47).
Conclusion: A difference in time to neutrophil recovery was not observed between the early and delayed administration groups yet decreased infectious complications may support the delayed of administration of pegfilgrastim in these patients.
Integration of a Pressure Sensor for Continuous Glucose Monitoring System
Authors: Guttikonda Sai Lakshmi , K Srinivasa Rao 
Published: August 2023

Abstract
Diabetes is a metabolic disorder, if a person is once diagnosed it’s not resolvable and is identified by variations in glucose concentration levels. We are designing an osmotic pressure sensor for the continuous glucose monitoring system. For this, microbridge and microcantilever with different principles are optimized and suitable is integrated to pressure sensor by using FEM tool, the performance analysis of the pressure sensor are analyzed on the aspects of sensitivity and non-linearity
Identification of clickbait news articles using SBERT and correlation matrix
Authors: Supriya Supriya , Singh Jyoti Prakash , Kumar Gunjan 
Published: August 2023

Abstract
Clickbait refers to the practice of using attention-grabbing or misleading headlines to attract readers to click on particular headlines or pieces of content. This technique often involves exaggerating claims or adding false information to attract traffic. In general, clickbait headlines are less similar to detailed articles associated with that headline compared to the standard news post. In our proposed system, we have exploited that to create features from headlines and its paragraph by using SBERT. Since the size of the paragraph is quite large compared to the headlines, we have selected a few sentences from the paragraph using a dissimilarity matrix. The extracted features from the headlines, target title and selected sentences of the paragraph are concatenated and classified using machine learning (ML) classifiers. The proposed model was tested extensively on two real-world datasets, and the results showed that it performed better than the current state-of-the-art models. The experimental results, the support vector machine (SVM) classifier with the concatenated embedding of six dissimilar sentences from paragraph exhibited the best performance with an accuracy of 0.84, weighted precision of 0.83, weighted recall of 0.84, and weighted F1-score of 0.82 surpassing the state-of-the-art model by 0.088 in terms of F1-score.
Functionally Graded Chitosan Ferrite Beads for Photocatalytic Degradation of Eriochrome Black T and Congo Red Dyes
Authors: You Qinghong , Ali Farman , Ahmad Waqar , Said Amir , Arif Umar , Muntha Sedra tul , Ali Nisar , Mehmood Sahid , Lu Zaijun , Zhang Hao , Yin Xiulian 
Published: August 2023

Abstract
Heterogeneous photocatalysis plays a vital character in the degradation of organic dyes and their by-products, which pose a threat to aquatic and terrestrial life if discharged in wastewater. Herein, we developed a one-pot synthesis method for producing cobalt-ferrite (CoFe2O4) and nickel-ferrite (NiFe2O4) nanoparticles via a co-precipitation technique. Then prepared five different nanocomposite beads, including chitosan beads, Chi-CoFe2O4-1, Chi-CoFe2O4-2, Chi-NiFe2O4-1, and Chi-NiFe2O4-2 in an aqueous acidic system. All the nanocomposite beads were structurally characterized by Scanning Electron Microscope, X-ray Diffraction, and Fourier Transform Infrared Spectroscopy analysis. Further, the as-prepared nanocomposite beads were utilized in the photo-degradation of Eriochrome black T, (EBT) and Congo red (CR) organic dyes. The outcomes demonstrated that, after 110 min of visible light illumination, the maximum photo-degradation of EBT dye reached 93%. While the maximum photo-degradation of CR dye reached 92% within 90 min by Chi-NiFe2O4-2. The corresponding turnover frequencies were 1257.5 kg− 1/sec, 1287 kg− 1/sec, 1318.18 kg− 1/sec, 1363 kg− 1 /sec, and 1393 kg− 1/sec, respectively. Furthermore, the turnover numbers were 2.26x10^7 Kg− 1/sec, 2.3×10×7 kg− 1/sec, 2.37×10×7 kg− 1/sec, 2.45×10×7 kg− 1/sec, and 2.5x10×7 kg− 1/sec for Chitosan beads, Chi/CoFe2O4 − 1, Chi/CoFe2O4 − 2, Chi/NiFe2O4 − 1, and Chi/NiFe2O4 − 2 respectively. Based on the findings, it can be concluded that engineered nanocomposite beads have a significant potential for visible-light-driven catalytic remediation of hazardous dyes. These results also suggest that there is a need for further research on the photocatalytic abatement of organic contaminants.