bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence and risk factors for hypoglycemia in patients with hepatocellular carcinoma
Authors: Zheng XiaoJing , Yan Hong-Hong , Gan Bin , Qiu Xiao-Ting , Qiu Jie , Zhang Jing , Chen Xiao-Ming , Huang Cui-Juan , Chen xiumei 
Published: September 2021

Abstract
AimTo evaluate the incidence and risk factors for hypoglycemia in patients with hepatocellular carcinoma (HCC).MethodsWe collected and analyzed the clinical data of patients with HCC in our cancer center between April 2020 and June 2021. Univariate and multivariate logistic regression analyses were performed to identify the risk factors associated with hypoglycemia.ResultsThe incidence rate of hypoglycemia in patients with HCC was 28.9% (67/232). Multivariate logistic regression analysis showed a significant association between hypoglycemia and Child-Pugh grade C (odds ratio [OR]=7.3, 95% confidence interval [CI] 2.28–23.31, p=0.001), alpha-fetoprotein (AFP) level (OR=1.000035, 95% CI 1.000007–1.000063, p=0.015), and glycated hemoglobin (HbA1c) level (OR=0.46, 95% CI 0.29–0.73, p=0.001).ConclusionChild-Pugh stage and HbA1c and AFP levels were associated with hypoglycemia in patients with HCC. Our study suggests that these three factors should be comprehensively considered when estimating the risk of hypoglycemia in these patients, and the diagnosis, treatment, and nursing plan should be adjusted in time to reduce the incidence of hypoglycemia.
Plastic additives for fire safety with weight reduction, thermal stability in processing and waste management Morpholino-poly(piperazinyl-morpholinyl-triazins)*
Authors: Kaul Bansi L 
Published: September 2021

Abstract
This paper is not just about the benefits of the smart plastics, but also about the potential remedies of the environmental concerns of their use. It is also a discussion about a potential pathway to an efficient use of fossil (combustion) fuels and the reduction of the emissions caused due to their use, in general. Morpholino-poly (piperazinyl-morpholinyl-triazin) imparts sustainable fire-safety and subdued incineration behaviour to plastics combined with weight reduction, and facilitates their melt processing. Additionally, it enables their ultimate environmentally friendly disposal as waste, after the ultimate use, coupled with simultaneous generation of usable energy. The knowledge & experience thus gained from energy extraction of waste plastics provide guidelines for future research to increase the efficiency of energy extraction and the reduction of emissions from combustion fuels in general. The technology is also intended to safeguard against open burning of plastics that leads to air-pollution flashover and forest fires. The various aspects of the experimental data generated are presented and plausible mechanisms of the technology are discussed.
Semiconducting phase of hafnium dioxide under high pressure: a theoretical studied by quasi-particle GW calculations
Authors: Bovornratanaraks Thipok , Ahuja Rajeev , Tsuppayakorn-aek Prutthipong 
Published: September 2021

Abstract
The phase stability of the hafnium dioxide compounds HfO2, a novelmaterial with a wide range of application due to its versatility and biocompatibility,is predicted to be achievable by using evolutionary technique, based on first-principlescalculations. Herein, the candidate structure of HfO2 is revealed to adopt a tetragonalstructure under high-pressure phase with P4/nmm space group. This evidentlyconfirms the stability of the HfO2 structures, since the decomposition into thecomponent elements under pressure does not occur until the pressure is at least200GPa. Moreover, phonon calculations can confirm that the P4/nmm structure isdynamically stable. The P4/nmm structure is mainly attributed to the semiconductingproperty within using the Perdew{Burke{Ernzerhof, the modified Becke-Johnsonexchange potential in combination with the generalized gradient approximations, andthe quasi-particle GW approximation, respectively. Our calculation manifests that theP4/nmm structure likely to be metal above 200GPa, arising particularly from GWapproximation. The remarkable results of this work provide more understanding ofthe high-pressure structure for designing metal-oxide-based semiconducting materials.
“Long COVID” follow-up pathway: results of longitudinal cohort study to investigate 6- and 12-month outcomes after hospitalization for SARS-CoV-2 infection
Authors: Rigoni Marta , Torri Emanuele , Nollo Giandomenico , Donne Livia Delle , Rizzardo Sebastiano , Lenzi Lorenza , Falzone Andrea , Cozzio Susanna 
Published: September 2021

Abstract
Long-term sequelae of symptomatic infection caused by SARS-CoV-2 are largely undiscovered.
We performed a prospective cohort study on consecutively hospitalized Sars-CoV-2 patients (March-May 2020) for evaluating COVID-19 outcomes at 6 and 12 months. After hospital discharge, patients were addressed to two follow-up pathways based on respiratory support needed during hospitalization. Outcomes were assessed by telephone consultation or ambulatory visit.
Among 471 patients, 81.6% received no respiratory support during hospitalization; 8.2% received non-invasive ventilation; 0.2% required invasive mechanical ventilation (IMV). 64 patients died during hospitalization, therefore 407 were enrolled for follow-up. At 6 months, among 355patients, the 27.0% had any symptoms, 19.4% dyspnea, 5.4% neurological symptoms. Fifty-two out of 104 had major damages in interstitial Computed Tomography images. IMV patients had higher probability to suffer of neurological symptoms (OR=4.12, p=0.01). At 12 months, among 344, the 24.4% suffered on any symptoms, 14.0% dyspnea, 10.0% neurological symptoms. Severe interstitial lesions were present in 37 out of 47 investigated patients. IMV patients in respect to no respiratory support, had higher probability of experiencing symptoms (OR=3.51, p<0.01), dyspnea (OR=3.08, p<0.01 ), neurological symptoms (OR= 11.50, p<0.01).
COVID-19 patients showed prolonged sequelae up to 12 months, highlighting the need of follow-up pathways for post-COVID-19 syndrome.
Anti-glioblastoma Effects of Structural Variants of Benzoylphenoxyacetamide (BPA): II. Synthesis Strategies for Phenolic Variants of BPAs With Potential for Blood Brain Barrier Penetration.
Authors: Stalinska Joanna , Vittori Cecilia , IV Charles H. Ingraham , Carson Sean C. , Bonstaff Karlie , Lassak Adam , Faia Celeste , Colley Susan B. , Peruzzi Francesca , Reiss Krzysztof , Jursic Branko S. 
Published: September 2021

Abstract
ABSTRACT
Glioblastomas are the most aggressive brain tumors for which therapeutic options are limited. Current therapies against glioblastoma include surgical resection, followed by radiotherapy plus concomitant and maintenance with temozolomide (TMZ), however, these standard therapies are often ineffective, and average survival time for glioblastoma patients is between 12 and 18 months. We have previously reported a strong anti-glioblastoma activity of several metabolic compounds, which were synthetized based the chemical structure of a common lipid-lowering drug, fenofibrate, and share a general molecular skeleton of benzoylphenoxyacetamide (BPA). Extensive computational analyses of phenol and naphthol moieties added to the BPA skeleton were performed in this study with the objective of selecting new BPA variants for subsequent compound preparation and anti-glioblastoma testing. Initially, 81 structural variations were considered and their physical properties such as solubility (logS), blood-brain partitioning (logBB), and probability of entering the CNS calculated by the Central Nervous System – Multiparameter Optimization (MPO-CNS) algorithm were evaluated. From this initial list, 18 compounds were further evaluated for anti-glioblastoma activity in vitro. Nine compounds demonstrated desirable glioblastoma cell toxicity in cell culture, and two of them, HR51, and HR59 demonstrated significantly improved capability of crossing the model blood-brain-barrier (BBB) composed of endothelial cells, astrocytes and pericytes.
Early Bearing Fault Diagnosis based on the Improved Singular Value Decomposition Method
Authors: Cui Lingli , Sun Mengxin , Huang Jinfeng 
Published: September 2021

Abstract
The traditional singular value decomposition (SVD) method is unable to diagnose the weak fault feature of bearings effectively, which means, it is difficult to retain the effective singular components (SCs). Therefore, a new singular value decomposition method, SVD based on the FIC (fault information content), is proposed, which takes the amplitude characteristics of fault feature frequency as the selection index FIC of singular components. Firstly, the Hankel matrix of the original signal is constructed and SVD is applied in the matrix. Secondly, the proposed index FIC is used to evaluate the information of the decomposed SCs. Finally, the SCs with fault information are selected and added to obtain the denoised signal. The results of bearing fault simulation signals and experimental signals show that compared with the traditional differential singular value decomposition (DS-SVD), the proposed method can select the singular components with larger amount of fault information, and is able to diagnose the fault under the heavy noise interference. The new method can be used for signal denoising and weak fault feature extraction.
Performance of Five-Axis Machine Tool and Intelligent Machining Process
Authors: Chan Tzu-Chi , Lin Hsin-Hsien 
Published: September 2021

Abstract
In this study, the processing performance of a five-axis machine tool was analyzed to identify processing weaknesses as the basis for subsequent structural improvements. Data were then integrated through the Abductory Induction Mechanism (AIM) polynomial neural network to predict intelligent processing quality, and an in-depth investigation was conducted by importing processing parameters to predict the surface quality of the finished product.The finite element analysis method was used to analyze the static and dynamic characteristics of the whole machine and to test the structural modal frequency and vibration shape. For modal testing, the experiment used various equipment, including impact hammers, accelerometers, and signal extractors. Subsequent planning of modal frequency band processing experiments was conducted to verify the influence of natural frequencies on the processing level. Finally, according to the machine processing characteristics, a processing experiment was planned. The measurement record was used as the training data of the AIM polynomial neural network to establish the processing quality prediction model.After analysis and an actual machine test comparison, the three-axis static rigidity values of the machine were X: 1.63 Kg/µm, Y: 1.93 Kg/µm, and Z: 3.95 Kg/µm. The modal vibration shape maximum error of the machine was within 6.2%. The processing quality prediction model established by the AIM polynomial neural network could input processing parameters to achieve the surface roughness prediction value, and the actual relative error of the Ra value was within 0.1 µm.Based on the results of cutting experiments, the influence of the dynamic characteristics of the machine on the processing quality was obtained, especially in the modal vibration environment, which had an adverse effect on the surface roughness. Hence, the surface roughness of the workpiece processed by the machine could be predicted.
Subdistribution-Based Imputation for Deep Survival Analysis with Competing Events
Authors: Zadeh Shekoufeh Gorgi , Behning Charlotte , Schmid Matthias 
Published: September 2021

Abstract
With the popularity of deep neural networks (DNNs) in recent years, many researchers have proposed DNNs for the analysis of survival data (time-to-event data). These networks learn the distribution of survival times directly from the predictor variables without making strong assumptions on the underlying stochastic process. In survival analysis, it is common to observe several types of events, also called competing events. The occurrences of these competing events are usually not independent of one another and have to be incorporated in the modeling process in addition to censoring. In classical survival analysis, a popular method to incorporate competing events is the subdistribution hazard model, which is usually fitted using weighted Cox regression. In the DNN framework, only few architectures have been proposed to model the distribution of time to a specific event in a competing events situation. These architectures are characterized by a separate subnetwork/pathway per event, leading to large networks with huge amounts of parameters that may become difficult to train. In this work, we propose a novel imputation strategy for data preprocessing that incorporates the subdistribution weights derived from the classical model. With this, it is no longer necessary to add multiple subnetworks to the DNN to handle competing events. Our experiments on synthetic and real-world datasets show that DNNs with multiple subnetworks per event can simply be replaced by a DNN designed for a single-event analysis without loss in accuracy.
Ternary hybrid formation and Photocatalytic activity of NiO/CuO/TiO2 microstructure over textile azo dye under solar light irradiation
Authors: S Sivakumar , Muthamilarasu A. , Divya G. , Sivakumar M. , Sakthi D. 
Published: September 2021

Abstract
The photocatalytic degradation and mineralization of ReactiveOrange30 on NiO/CuO/TiO2 ternary composites has been studied using solar light irradiation. This NiO/CuO/TiO2 ternary composites were prepared by different mass ratios of NiO and CuO/TiO2(3wt% to 15wt.%) on the ethonalic dispersion and annealed at 300˚ C. SEM, UV- Vis DRS, PL, XRD and FTIR analysis has used to characterize the all photocatalysts. NiO/CuO/TiO2 ternary composites demonstrate enhanced photocatalytic activity than NiO/TiO2, CuO/TiO2and pure TiO2 due to separation of photogenerated electrons and holes charges. The NiO/CuO/TiO2ternary composites shows good photostability and the photocatalyst retain the 94% of its initial activity in the seventh cycle, respectively.
Topological Charge of Soft X-ray Vortex Beam Determined by Inline Holography
Authors: Ishii Yuta , Nakao Hironori , Mizumaki Masaichiro , Wakabayashi Yusuke , Arima Taka-hisa , Yamasaki Yuichi 
Published: September 2021

Abstract
A Laguerre–Gaussian (LG) vortex beam having a spiral wavefront can be characterized by its topological charge (TC). The TC gives the number of times that the beam phase passes through the interval [0, 2π] following a closed loop surrounding the propagation axis. Here, the TC of soft X-ray vortex beams is determined using the in-line holography technique, where interference between vortex waves produced from a fork grating and divergent waves from a Fresnel zone plate is observed as a holographic image. The analyses revealed the phase distributions and the TC for the LG vortex waves, which reflects topological number of the fork gratings, as well as for the Hermite–Gaussian (HG) mode waves generated from the other gratings. We also conducted a simulation of the present technique for pair annihilation of topological defects in a magnetic texture. These results may pave the way for development of probes capable of characterizing the topological numbers of magnetic defects.
Synthesis and Performance Evaluation of Chitosan/zinc Oxide Nanocomposite as a Highly Efficient Adsorbent in the Removal of Reactive Red 198 From Water
Authors: Amirmahani Najmeh , Mahdizadeh Hakimeh , Seyedi Neda , Nasiri Alireza , Yazdanpanah Ghazal 
Published: September 2021

Abstract
Disposal of textile industrial effluents causes many environmental problems. The presence of chemical dyes in textile wastewater lead to the primary environmental pollution as well as the production of hazardous secondary compounds that are toxic and carcinogenic. In this study, Chitosan and Chitosan-zinc oxide (ZnO) nanocomposite were prepared and selected as a low-cost adsorbent with high adsorption capacity for removing reactive red 198 (RR 198) dye from contaminated. After preparation, it was characterized using Fourier-transform infrared spectroscopy [FT-IR], X-ray diffraction spectrophotometer [XRD], and scanning electron microscopy [SEM]. The effect of pH, temperature, time, adsorbent amount, and initial dye concentration were investigated in the removal efficiency of reactive red 198 (RR 198) dyes. The results showed that the maximum adsorption capacity (qm) obtained from the Langmuir equation was 172.41 mg/g in adsorbent dose of 0.1 g/L, pH: 4, temperature of 25°C, adsorption time of 40 min. The thermodynamic parameters demonstrated the spontaneous and endothermic nature of the adsorption process. Due to the high efficiency of chitosan/ZnO nanocomposite in removal of RR 198 from water and advantages such as high adsorption capacity, simple synthesis, and easy application, it can be used as an effective method in removal of RR 198 from water.
Identification of miR-338-5p and miR-4776-3p as mediators of articular cartilage degeneration
Authors: Wang Jiaxu , Guan Xin , Zhang Lele , Shao Shuilin , Gao Bo , Li Haixia , Huo Litao , Huang Shibo , Wu Jigong , Cui Xiang 
Published: September 2021

Abstract
Purpose

Osteoarthritis is one of the most common chronic diseases nowadays, and can cause serious physical illness and economic burden. Cartilage degeneration is one of primary reasons for osteoarthritis, but there were not thorough studies on cartilage lesions.
Methods

miR-338-5p and miR-4776-3p were overexpressed and knocked down in SW1353 cells. Dual luciferase assay is used to detect the binding of miR-338-5p, miR-4776-3p and SOX6. The expression of MMP13, TNFA, IL6, MCP1, PARP, Runx2, ALP, OPN, WNT4, WNT16, TRACP and CTSK was quantified by qPCR. And the expression of WNT4 at the protein level was quantified by WB.
Results

In this study, we found miR-338-5p and miR-4776-3p showed significantly high expression on cartilage in osteoarthritis through bioinformatics methods, and verified miR-338-5p and miR-4776-3p can improve catabolism, and trigger biological processes such as inflammation and apoptosis. Meanwhile we validated miR-338-5p and miR-4776-3p may play negative regulation in the process of bone biology.
Conclusions

Our study showed that miR-338-5p and miR-4776-3p can be regarded as medium of articular cartilage degeneration, and it provided new biomarker of early diagnosis in cartilage disease and osteoarthritis.
Identification and Validation of a Glycolysis Related Metabolic Reprogramming Gene Signature for Predicting Survival in Colon Cancer Patients
Authors: Liu Gang , WU Xiaowang , Chen Jian 
Published: September 2021

Abstract
Background

Colon cancer (CC) is one of the most common gastrointestinal malignant tumors with high mortality rate. Because of malignancy and easily metastasis feather, and limited treatments, the prognosis of CC remains poor. Glycolysis is a metabolic process of glucose in anoxic environments which is an important way to provide energy for tumor. The role of glycolysis in CC largely remains unknown and is necessary to be explored.
Method

In our study, we analyzed glycolysis related genes expression in CC, patients gene expression and corresponding clinical data were downloaded from GEO dataset, glycolysis related genes sets were collected from Msigdb. Through COX regression analysis, prognosis model based on glycolysis-related genes was established. The efficacy of gene model was tested by Survival analysis, ROC analysis and PCA analysis. Furthermore, the relationship between risk scores and clinical characteristic was researched.
Results

Our findings identified 13 glycolysis related genes (NUP107, SEC13, ALDH7A1, ALG1, CHPF, FAM162A, FBP2, GALK1, IDH1, TGFA, VLDLR, XYLT2 and OGDHL) consisted prognostic prediction model with relative high accuracy. The relationship between prediction model and clinical feathers were specifically studied, results showed age > 65years, TNM III-IV, T3-4, N1-3, M1 and high-risk score were independent prognostic risk factors with poorer prognosis. Finally, model genes were significantly expressed and EMT were activated in CC patients.
Conclusion

This study provided a new aspect to advance our understanding in the potential mechanism of glycolysis in CC.
Burnout Among Saudi Radiological Sciences Undergraduate Students: A Cross-Sectional Study
Authors: Alshamrani Khalid , Alkenawi Abdulkader , Merdah Abdulaziz , Munshi Wael , Alattas Ahmed , Althaqafy Majid , Qurashi Abdulaziz , Kaifi Reham 
Published: September 2021

Abstract
Background

Burnout syndrome may adversely affect health care workers and health sciences students. The purpose of this study was to assess the prevalence of burnout among Saudi third- and fourth-year radiological sciences students across three campuses of King Saud bin Abdulaziz University for Health Sciences.
Methods

An exploratory, cross-sectional study was conducted among 176 Saudi radiological sciences students, using the Maslach Burnout Inventory-General Survey for Students. The 16-item questionnaire was administered electronically. The arithmetic means of individual items making up each scale of burnout were calculated, and statistical analyses were performed using Mann-Whitney U nonparametric test.
Results

From the 176 radiological sciences students approached, 96 (54.5%) completed the questionnaire. The percentage of students who were at moderate to high risk of burnout for emotional exhaustion, cynicism, and professional efficacy were 70.8%, 75% and 74%, respectively. Fourth-year students emotional exhaustion mean scale score was 19.3 ± 6.8 indicating significant higher burnout levels (P = 0.042), compared to third-year students mean scale score of 15.9 ± 7.2. Fourth-year female students cynicism mean scale score was 16.3 ± 7.6 indicating significant higher burnout levels (P = 0.035), compared to third-year female students mean scale score of 10.3 ± 7.1. Fourth-year female students showed significant lower professional efficacy mean score (21.1 ± 8.0), compared to males (26.1 ± 7.9, P = 0.007).
Conclusions

Our study shows 73.3% moderate to high burnout rates among Saudi radiological sciences students. A greater proportion of fourth year female students reported high levels of emotional exhaustion. Burnout increases as students advance to the fourth year. A block/modular curriculum structure for fourth-year courses may be necessary to reduce burnout among fourth-year students. The provision of academic counseling can relieve students' emotional stress and therefore reduce the risk of burnout.
L attice V ibrational C haracteristics , Crystal Structure s , and D ielectric P roperties of Li Mn PO 4 Microwave Dielectric Ceramics as a Function of Sintering Temperature
Authors: wang xiangyu , xiao encai , Zhang Lingcui , Xu Yue , liu tong , Yi Junzhi , Song Kaixin , Qi Ze-ming , shi feng 
Published: September 2021

Abstract
LiMnPO4 (LMP) microwave dielectric ceramics were manufactured at different temperatures via a standard solid-state reaction method, and the LMP ceramic sintered at 750 °C displayed dielectric properties of εr = 7.82, Q × f = 29,189 (f = 12.7 GHz). The lattice vibrational characteristics of LMP ceramics were studied utilizing both infrared reflection and Raman scattering spectroscopy to clarify the basic principle of the dielectric response. The intrinsic properties that were fitted and simulated based on the infrared spectra agreed with the measured property values. The low-frequency vibrational modes contributed more to the dielectric properties than the high-frequency modes. Upon increasing the temperature, the permittivity was positively correlated with the bond length but showed the opposite trend of the Raman shift of mode 9 Ag(υ1). The Q × f value was positively correlated with the packing fraction but negatively correlated with the FWHM of mode 10 Ag(υ3). Thus, the structure-property relationships of LMP ceramics were established as a function of sintering temperature.