bluuebunny/crossref_metadata_2025 huggingface dataset:
Cystatin C-Based Equations Detect Hidden Kidney Disease and Poor Prognosis in Newly Diagnosed Patients with Multiple Myeloma
Authors: Cepeda-Piorno Francisco-Javier , González-García Esther , Méndez-Gallego Alba , Torres-Varona Juan , García-Moreira Vanesa , Sordo-Bahamonde Christian , AlberdiGarcía-del-Castillo Cristina , Astobieta-Madariaga Elene , Mateos-Manteca Maria-Victoria , González-Rodríguez Segundo
Published: April 2022

Objectives. The aim of this study was to compare the creatinine equations with cystatin C (CysC) equations to define renal impairment (RI) in newly diagnosed multiple myeloma (MM) patients and to analyse the equation that allows for identifying patients with more and worse prognostic factors. Methods. Renal function was evaluated prospectively in 61 patients with newly diagnosed untreated MM employing CKD-EPI and CAPA equations. The comparison was conducted using Bland–Altman graphics and Cohen’s Kappa statistic. Mann–Whitney T and Chi-square tests were used, and univariate and multivariate analyses were carried out. Results. According to the IMWG criteria, 26% of patients showed RI (3 women/13 men) whilst the use of CysC equations allowed us to identify up to 39% of patients (7 women/17 men). The CAPA equation was less biased and dispersed and more sensitive than CKD-EPI-creatinine. Furthermore, univariate analysis unveiled an association between decreased CKD-EPI-CysC and poor prognosis based on R-ISS-3. Conclusions. The IMWG criteria may underestimate kidney disease, mostly in women, which could affect the dose received as well as its toxicity. Altogether, our data suggest that equations that include CysC are more accurate to detect hidden kidney disease, as well as patients with more and worse prognostic factors, in newly diagnosed MM.
Pattern Mathematical Model for Fingerprint Security Using Bifurcation Minutiae Extraction and Neural Network Feature Selection
Authors: Alsharman Nesreen , Saaidah Adeeb , Almomani Omar , Jawarneh Ibrahim , Al-Qaisi Laila
Published: April 2022

Biometric based access control is becoming increasingly popular in the current era because of its simplicity and user-friendliness. This eliminates identity recognition manual work and enables automated processing. The fingerprint is one of the most important biometrics that can be easily captured in an uncontrolled environment without human cooperation. It is important to reduce the time consumption during the comparison process in automated fingerprint identification systems when dealing with a large database. Fingerprint classification enables this objective to be accomplished by splitting fingerprints into several categories, but it still poses some difficulties because of the wide intraclass variations and the limited interclass variations since most fingerprint datasets are not categories. In this paper, we propose a classification and matching fingerprint model, and the classification classifies fingerprints into three main categories (arch, loop, and whorl) based on a pattern mathematical model using GoogleNet, AlexNet, and ResNet Convolutional Neural Network (CNN) architecture and matching techniques based on bifurcation minutiae extraction. The proposed model was implemented and tested using MATLAB based on the FVC2004 dataset. The obtained result shows that the accuracy for classification is 100%, 75%, and 43.75% for GoogleNet, ResNet, and AlexNet, respectively. The time required to build a model is 262, 55, and 28 seconds for GoogleNet, ResNet, and AlexNet, respectively.
Task Offloading of Edge Computing Network and Energy Saving of Passive House for Smart City
Authors: Li Yanfang , He Xiaorong , Bian Yuzhu
Published: April 2022

With the advent of technologies such as the Internet of Things, edge computing, and 5G, a tremendous amount of structured and unstructured data is being generated from different applications in the smart city environment. In this study, the current problems to be overcome by edge computing (EC) and the basic framework of edge computing are investigated to enhance the sustainable development of the smart city. Three 4aspects of the edge computing offload technology are explored including the software-defined network (SDN) controller, offload decision, and resource allocation, and a task offloading model of an edge computing network for a smart city is designed based on data preprocessing. Moreover, the energy-saving design and analysis of passive houses are carried out with Chengdu city as an example. The results reveal that the deployment scheme is feasible. In the passive house design scheme with natural ventilation, external shading, wall heat transfer coefficient of 0.63 W/(m2 K), and water storage roof, the annual energy consumption per unit area is the lowest, 18.97 kWh/m2, and its energy-saving rate is the highest, 0.77. The findings of the study provide some research experience for increasing the efficiency of smart city edge computing and boosting the smart city’s long-term development.
18F‐FDG PET/CT for Identifying the Potential Primary Diseases and Predicting Prognosis of Secondary Hemophagocytic Lymphohistiocytosis in Children
Authors: Wei Ang , Lu Xia , Ma Honghao , Lian Hongyun , Yang Xu , Zhang Liping , Wang Dong , Chen Sitong , Zhang Qing , Li Zhigang , Zhang Rui , Yang Jigang , Wang Tianyou
Published: April 2022

Hemophagocytic lymphohistiocytosis (HLH) is a rare, potentially fatal illness, which can be divided into primary HLH (pHLH) and secondary HLH (sHLH). pHLH can be driven by genetic defections. Moreover, the sHLH is usually be triggered by malignancy or non‐malignancy diseases. Sixty‐two newly diagnosed sHLH patients with known etiology and those who underwent 18F‐FDG PET/CT examination from July 2018 to December 2020 were retrospectively analyzed. They were divided into malignancy‐associated HLH (M‐HLH, n = 13) and non‐malignancy‐associated HLH (NM‐HLH, n = 49). The metabolic parameters of the liver (Li), spleen (Sp), bone marrow (BM), lymph nodes (LN), and their ratios to the liver background (LiBG) and mediastinum (M) were compared between two groups. These metabolic parameters were evaluated for correlation with laboratory parameters and prognostic parameters. We found that the SUVmax‐LN/Sp/Li and SUVmean‐Sp in M‐HLH were significantly higher than those in NM‐HLH (P = 0.031, 0.035, 0.016,  and 0.032). The malignant disease should be considered when SUVmax‐LN was higher than 4.41 (sensitivity 61.5%, specificity 81.6%). Hypermetabolic lesions in extranodal organs were more likely to occur in M‐HLH than in NM‐HLH (P = 0.011). IFN‐ γ was positively correlated with SUVmax‐BM/Li/Sp and SUVmean‐BM/Li/Sp (P < 0.05). Ferritin, sCD25, IL‐6, and IL‐10 were positively correlated with SUVmax‐Sp and SUVmean‐Sp (P < 0.05). In Epstein–Barr virus‐associated HLH (EBV‐HLH), the SUV parameters of bone marrow were significantly correlated with a poor 2‐week treatment response, overall survival, and event‐free survival (P < 0.05). We conclude that some 18F‐FDG PET/CT metabolic parameters can help identify the etiology of sHLH in children and provide directions for further inspection. The malignant disease should be considered when the SUVmax‐LN is higher than 4.41 and hypermetabolic lesions occur in extranodal organs. In EBV‐HLH, a higher SUV of bone marrow is associated with a poorer prognosis.
The Fractional Hilbert Transform on the Real Line
Authors: Abdullah Naheed , Iqbal Saleem , Khalid Asma , Al Johani Amnah S. , Khan Ilyas , Rehman Abdul , Andualem Mulugeta
Published: April 2022

This paper examines some special properties and important results of the fractional Hilbert transform (FHT) on the real line

ℝ

. In this rigorous study, we modify certain theorems of classical Hilbert transform for FHT and develop new theorems. Moreover, FHT of some common functions is given and eigenfunctions are also studied. We prove that FHT, denoted by

H

α

, is an isomorphism on

L

2

ℝ

. We also show that in

L

2

ℝ

, FHT is an isometry. Furthermore, we investigate Riesz inequality on

L

p

ℝ

for

p
>
1

to establish Hilbert formulae for FHT.
Preparation and Characterization of Calcium-Incorporated Rosa roxburghii Tratt and Its Efficacy on Bone Mineral Density in Rats
Authors: Yan Yanfang , Luo Zhongsheng , He Leilei , Wei Fuxiao , Gao Ming , Cui Xiaofang , Yang Juan , Sun Yichun , Li Lilang , Yang Lishou , Deng Tingfei , Pan Xiong , Peng Mei , Tan Yunfei , An Zhengbin , Li Liangqun , Yang Xiaosheng
Published: April 2022

The deficiency of traditional calcium preparation will gradually be replaced by the new type of calcium preparation. Rosa roxburghii fruit (R. roxburghii) is popular for its rich nutrients and functional ingredients. The fermentation broth of R. roxburghii, involving amino acids, flavonoids, triterpenes, polysaccharides, and other compounds, is favorable for calcium chelation. Thus, this study fabricated calcium-incorporated R. roxburghii (FECa) and further illustrated its efficacy on bone mineral density (BMD) in rats. The calcium holding capacity of FECa was identified and confirmed using AAS. Ion complexation of FECa was characterized using 1H-NMR, UV, SEM and EDS, and FTIR. The calcium contents of femurs were increased by 36%, and the bone trabeculae of femurs were significantly increased. Net calcium balance was enhanced to further improve BMD by oral administration of FECa. The above results indicate that FECa can be a potential and efficient calcium supplementation agent.
Deep Personal Multitask Prediction of Diabetes Complication with Attentive Interactions Predicting Diabetes Complications by Multitask-Learning
Authors: Zuo Ming , Zhang Wei , Xu Qi , Chen Dehua
Published: April 2022

Objective. Diabetic complications have brought a tremendous burden for diabetic patients, but the problem of predicting diabetic complications is still unresolved. Our aim is to explore the relationship between hemoglobin A1C (HbA1c), insulin (INS), and glucose (GLU) and diabetic complications in combination with individual factors and to effectively predict multiple complications of diabetes. Methods. This was a real-world study. Data were collected from 40,913 participants with an average age of 48 years from the Department of Endocrinology of Ruijin Hospital in Shanghai. We proposed deep personal multitask prediction of diabetes complication with attentive interactions (DPMP-DC) to predict the five complication models of diabetes, including diabetic retinopathy, diabetic nephropathy, diabetic peripheral neuropathy, diabetic foot disease, and diabetic cardiovascular disease. Results. Our model has an accuracy rate of 88.01% for diabetic retinopathy, 89.58% for diabetic nephropathy, 85.77% for diabetic neuropathy, 80.56% for diabetic foot disease, and 82.48% for diabetic cardiovascular disease. The multitasking accuracy of multiple complications is 84.67%, and the missed diagnosis rate is 9.07%. Conclusion. We put forward the method of interactive integration with individual factors of patients for the first time in diabetic complications, which reflect the differences between individuals. Our multitask model using the hard sharing mechanism provides better prediction than prior single prediction models.
miR-139-5p Suppresses Proliferation and Angiogenesis of Intracranial Aneurysm via FGB
Authors: Jin Tao , Chen Gong , An Qingzhu , Qin Xuanfeng , Hu Yuanyuan , Yan Yan , Hu Jia , Zhou Bing , Leng Bing
Published: April 2022

Intracranial aneurysm (IA) is a common cerebrovascular disease. Understanding the mechanism regulating the progression of IA could help to develop novel therapeutic methods for this disease. In this study, we confirmed FGB is one of the targets of miR-139-5p. Moreover, miR-139-5p expression in intracranial aneurysm specimens was suppressed compared with normal tissues. However, we found that FGB in intracranial aneurysm samples was remarkedly enhanced compared to normal tissues. Moreover, we found miR-139-5p overexpression and FGB silencing inhibit HBMEC proliferation and tube formation and suppressed α-SMA and CXCR4 levels in HBMEC cells. Furthermore, a rescue experiment confirmed miR-139-5p affected the proliferation and angiogenesis of HBMEC through FGB. Despite further research being needed to determine the exact functions of miR-139-5p in the formation of CA, our new findings contribute to a comprehensive understanding of the treatment mechanism of IA.
The Use of Visual Sensing Technology and Digital Image Technology in Public Art Design
Authors: Zheng Pei , Yan Yao
Published: April 2022

The intent of this research article is the analysis of application of digital image technology and visual sensing technology in public art design. The specific forms of public art design are studied. A series of studies on the public art form of live performance is carried out combined with the principles of advanced computer technology such as digital imaging, artificial intelligence, and visual sensing technology. An analysis method based on attention-satisfaction for the Return to the Three Gorges is put forward and some research results are obtained. The results show that the combination of live tourism performance and digital image technology creates endless possibilities for live tourism performance through technical means and artistic charm, but there are also some disadvantages. The survey results about the Return to the Three Gorges show that the proportion of tourists who choose “greatly different from expectations” and “fail to meet expectations” has reached 41.9%. And 45.3% of tourists choose the “very unwilling” and “unwilling” options in terms of willingness to revisit. It reveals that although the integration of science and technology and art has great charm, there is still much room for improvement, especially the homogenization of content and form, which needs further research.
[Retracted] Adversarial Attacks Defense Method Based on Multiple Filtering and Image Rotation
Authors: Li Feng , Du Xuehui , Zhang Liu
Published: April 2022

Adversarial examples in an image classification task cause neural networks to predict incorrect class labels with high confidence. Many applications related to image classification, such as self‐driving and facial recognition, have been seriously threatened by adversarial attacks. One class of the existing defense methods is the preprocessing‐based defense which transforms the inputs before feeding them to the system. These methods are independent of the classification models and have excellent defensive effects under oblivious attacks. An image filtering method is often used to evaluate the robustness of adversarial examples. However, filtering induces the loss of valuable features that reduce the classification accuracy and weakens the adversarial perturbation. Furthermore, the fixed filtering parameters cannot effectively defend against the adversarial attack. This paper proposes a novel defense method based on different filter parameters and randomly rotated filtered images. The output classification probabilities are statistically averaged, which keeps the classification accuracy while removing the perturbation. Experimental results show that the proposed method improves the defense capability of various models against diverse kinds of oblivious adversarial attacks. Under the adaptive attack, the transferability of the adversarial examples among different models is significantly reduced.
Oil Palm Empty Fruit Bunch (OPEFB) Fiber-Reinforced Acrylic Thermoplastic Composites: Effect of Salt Fog Aging on Tensile, Spectrophotometric, and Thermogravimetric Properties
Authors: Valle Vladimir , Aguilar Alex , Kreiker Jeronimo , Raggiotti Belén , Cadena Francisco
Published: April 2022

The prioritization of agroindustry fiber wastes as raw materials in development of composites has become a challenge to obtain higher value-added products with targeted applications. In this study, natural fiber-reinforced polymer matrix composites were elaborated using two fiber sizes (605 μm and 633 μm) of oil palm empty fruit bunch (OPEFB) and acrylic thermoplastic resin. In doing so, resin and fibers were mixed at room temperature by maintaining filler content of 42 wt. % for all formulations. In addition, thermomechanical compression moulding was used as composite manufacturing process at four processing temperatures (80, 100, 120, and 140°C). All formulations were subsequently exposed to salt fog spray aging for 330 hours. The effects of accelerated aging process on mechanical, spectrophotometric, and thermogravimetric characteristics were studied. On the whole, results have shown feasibility to use a facile method to elaborate composites based on waterborne acrylic matrix and OPEFB fibers. After salt spray testing, it was observed detectable levels of Aspergillus spp. of fungi in all samples, as a result of phylogenetic organization of microbial activity. Tensile behavior of composites was significantly influenced by processing temperature and fiber size. In broad terms, their overall mechanical properties were improved by the increase of temperature. Additionally, infrared spectroscopy results showed important bands mainly associated to biodegradation of cellulose, hemicellulose, and lignin. On the other hand, two degradation stages were mainly identified in thermogravimetric evaluation. Noteworthy, aging had no significant effect on the thermal properties of composites.
Mikhlin’s Integral Equation and the Integral Equation with the Generalized Neumann Kernel on Simply Connected Domains
Authors: Naqos Samir , Murid Ali H. M. , Nasser Mohamed M. S.
Published: April 2022

Mikhlin’s integral equation is a classical integral equation for solving boundary value problems for Laplace’s equation. The kernel of the integral equation is known as the Neumann kernel. Recently, an integral equation for solving the Riemann–Hilbert problem was derived. The kernel of the new integral equation is a generalization of the Neumann kernel, and hence, it is called the generalized Neumann kernel. The objective of this paper is to present a detailed comparison between these two integral equations with emphasis on their similarities and differences. This comparison is done through applying both equations to solve Laplace’s equation with Dirichlet boundary conditions in simply connected domains with smooth and piecewise smooth boundaries.
Protective Effect of Silymarin and Gallic Acid against Cisplatin-Induced Nephrotoxicity and Hepatotoxicity
Authors: Doğan Duygu , Meydan İsmet , Kömüroğlu Ahmet Ufuk
Published: April 2022

Objective. This study aimed to investigate the effects of gallic acid and silymarin against nephrotoxicity and hepatotoxicity caused by cisplatin. Materials and Methods. In the study, 56 Wistar Albino rats were equally divided into eight groups. Group 1 was the control group; group 2 was the group receiving cisplatin; group 3 was the group receiving cisplatin + gallic acid; group 4 was the group receiving cisplatin + silymarin; group 5 was the group receiving cisplatin + silymarin + gallic acid; group 6 was the group receiving silymarin; group 7 was the group receiving gallic acid; group 8 was the group receiving gallic acid + silymarin. AST, ALT, urea, creatinine, albumin, globulin, and total protein levels were measured at the end of the study. Superoxide dismutase (SOD), catalase (CAT), malondialdehyde (MDA), glutathione (GSH), and 8-hydroxy-2′-deoxyguanosine (8OH-dG) levels were measured in kidney and liver tissues. Additionally, histopathological evaluations of the tissues were also performed. Results. In kidney and liver tissues, cisplatin significantly increased MDA and 8-OHdG levels compared with treatment groups (

p
<
0.05

). Silymarin-treated group significantly increased the SOD activity and GSH amount in the liver tissue compared with the cisplatin-treated group (

p
<
0.05

). Gallic acid significantly increased CAT activity compared with the cisplatin-treated group (

p
<
0.05

). It was determined that the cisplatin-treated group significantly decreased CAT and SOD activity compared with the control group (

p
>
0.05

). Gallic acid showed a significant increase in CAT and SOD activity in kidney tissue compared with the cisplatin-treated group (

p
<
0.05

). Conclusion. As a result, it was observed that gallic acid silymarin had a protective effect on cisplatin-induced nephrotoxic and hepatotoxic effects.
Carboxyhemoglobin Does Not Predict the Need of Mechanical Ventilation and Prognosis during COPD Exacerbation
Authors: Izhakian Shimon , Harper Eitan , Gorelik Oleg , Frajman Assaf , Mekiten Ori , Bar-Chaim Adina , Kramer Mordechai Reuven
Published: April 2022

Background. Carboxyhemoglobin (COHb) is a complex formed by the binding of carbon monoxide to hemoglobin in blood. Higher COHb levels have been associated with poor prognosis in a variety of pulmonary disorders. However, little is known regarding the prognostic significance of COHb among individuals with chronic obstructive pulmonary disease (COPD) exacerbation. Methods. In a retrospective study, we evaluated associations of venous COHb levels on hospital admission with the need for invasive mechanical ventilation, in-hospital mortality, and rehospitalization, among 300 patients hospitalized for COPD exacerbation in internal medical wards. Results. Rates of in-hospital death and 1-year recurrent hospitalizations were 11.0% and 59.6%, respectively. COHb levels were not significantly associated with in-hospital mortality (OR = 0.82,

P
=
0.25

, 95% CI 0.59–1.15) or with 1-year rehospitalizations (OR = 0.91,

P
=
0.18

, 95% CI 0.79–1.04). The mean COHb level did not differ significantly between patients who needed invasive mechanical ventilation and those who were not invasively mechanically ventilated during the current hospitalization (2.01 ± 1.42% vs. 2.19 ± 1.68%,

P
=
0.49

). Conclusions. Among patients hospitalized with COPD exacerbation in internal medicine wards, COHb levels on admission were not associated with invasive mechanical ventilation treatment, rehospitalizations, or mortality.
Diagnostic Value of Coronary Computed Tomography Angiography Image under Automatic Segmentation Algorithm for Restenosis after Coronary Stenting
Authors: He Xinrong , Zhao Juan , Xu Yunpeng , Lei Huini , Zhang Xianbin , Xiao Ting
Published: April 2022

The diagnostic efficacy of coronary computed tomography angiography (CTA) images of coronary arteries in restenosis after coronary stenting based on the combination of the convolutional neural network (CNN) algorithm and the automatic segmentation algorithm for region growth of vascular similarity features was explored to provide a more effective diagnostic method for patients. 130 patients with coronary artery disease were randomly selected as the research objects, and they were averagely classified into the control group (conventional coronary CTA image diagnosis) and the observation group (coronary CTA image diagnosis based on an improved automatic segmentation algorithm). Based on the diagnostic criteria of coronary angiography (CAG), the efficacy of two kinds of coronary CTA images on the postoperative subsequent visit of coronary heart disease (CHD) stenting was evaluated. The results showed that the accuracy of the CNN algorithm was 87.89%, and the average voxel error of the improved algorithm was signally lower than that of the traditional algorithm (1.8921 HU/voxel vs. 7.10091 HU/voxel) (p < 0.05). The average score of the coronary CTA image in the observation group was higher than that in the control group (2.89 ± 0.11 points vs. 2.01 ± 0.73 points) (p < 0.05). The diagnostic sensitivity (91.43%), specificity (86.76%), positive predictive value (88.89%), negative predictive value (89.66%), and accuracy (89.23%) of the observation group were higher than those of the control group (p < 0.05). In conclusion, the region growth algorithm under the CNN algorithm and vascular similarity features had an accurate segmentation effect, which was helpful for the diagnosis of CTA image in restenosis after coronary stenting.
Benefits of Contrast-Enhanced Ultrasonography to the Differential Diagnosis of TI-RADS 4-5 Thyroid Nodules
Authors: Yu Ping , Niu Sihua , Gao Shuang , Tian Hui , Zhu Jiaan
Published: April 2022

Objective. The early detection, diagnosis, and treatment of thyroid cancer are of great significance to the prognosis for patients. This study was aimed at exploring the benefits of contrast-enhanced ultrasonography (CEUS) to the differential diagnosis of thyroid nodules classified as TI-RADS class 4 or 5. Method. A total of 46 patients with TI-RADS 4-5 thyroid nodules admitted in Peking University People’s Hospital from January 2019 to January 2021 were selected to study. The sensitivity, specificity, accuracy, and positive and negative predictive values of conventional ultrasonography (US) and conventional ultrasonography combined with contrast-enhanced ultrasonography (US + CEUS) in the diagnosis of benign and malignant thyroid nodules were compared by referring to the results of the surgical pathology report, which is seen as the “gold standard” for diagnosis, followed by the construction of receiver operating characteristic curves (ROCs). Result. Among 57 thyroid nodules, there were statistically significant differences between benign and malignant thyroid nodules in terms of echogenicity, margin characteristics, aspect ratio, and calcification (

P
<
0.01

). In the case of CEUS, there was no statistically significant difference among contrast agent perfusion patterns in distinguishing between benign and malignant thyroid nodules (

P
>
0.05

). However, there were statistically significant differences among different enhancement degrees, enhanced borders, and enhancement patterns. By comparing the CEUS results of TI-RADS 4-5 thyroid nodules with the results of pathology report, the malignancy rate was found to pathology report results, the malignancy rate was 53.85% in TI-RADS class 4 thyroid nodules and 100.00% in TI-RADS class 5 thyroid nodules. Among thyroid nodules diagnosed using US, 6 benign nodules were misdiagnosed as malignant and 7 malignant nodules were misdiagnosed as benign. Among those diagnosed using US + CEUS, 2 benign nodules were misdiagnosed as malignant and 2 malignant nodules were misdiagnosed as benign. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of UN + CEUS significantly outperformed those of UN alone in diagnosing thyroid nodules (

P
<
0.05

). The ROC curve analysis showed that the area under the curve (AUC) derived from US + CEUS was 0.849, while the AUC from US was only 0.726. Conclusion. Using US + CEUS to diagnose thyroid nodules classified as TI-RADS category 4 or 5 can further improve distinguishing between benign and malignant nodules. The CEUS is of important value to clinical applications as it can provide effective supplementary information and quantitative analysis for the differentiation between benign and malignant thyroid nodules.
[Retracted] Classification and Visual Design Analysis of Network Expression Based on Big Data Multimodal Intelligence Technology
Authors: Ping Zou , Liu Yueyan
Published: April 2022

The rapid development of the Internet in modern society has promoted the development of many different network platforms. In the context of big data, many types of multimodal data such as pictures, videos, and texts are generated in the platform. Through the analysis of multimodal data, we can provide better services for users. The traditional big data analysis platform cannot achieve a completely stable state for the analysis of multimodal data. The construction of multimodal intelligent platform can achieve efficient analysis of relevant data, so as to create greater economic benefits for the society. This paper mainly studies the historical development trend of big data multimodal intelligence technology and the data processing method of multimodal intelligence technology applied to network expression classification, including data acquisition, storage, and analysis. Finally, it studied the fusion algorithm between multimodal data and visual design, as well as the classification of network expression and the application result analysis of visual design in big data multimodal intelligence technology.
Analysis on Influencing Factors of Knowledge-Based Attitude and Behavior Change of Cardiovascular Disease Nurses
Authors: Yang Manmei , Wu Yongping , Peng Lihua , Kuang Xuhuan
Published: April 2022

The study explores the influencing factors of knowledge, attitude, and behavior of cardiovascular disease nurses. A total of 500 CVD nurses from 10 hospitals in the province from January 2020 to 2021 are selected as the survey subjects. After reviewing the literature, a questionnaire is developed to investigate the knowledge, belief, and practice level of cardiovascular disease nurses. The demographic information, job information and knowledge, attitude, and behavior of cardiovascular disease nurses are investigated in the form of questionnaires. Univariate analysis is made on the knowledge, attitude, and behavior scores of the nurses with cardiovascular diseases in demographic characteristics and job characteristics, and multivariate stepwise analysis is made on the factors affecting the knowledge, attitude, and behavior of the nurses with cardiovascular diseases. Cardiovascular disease nurses’ knowledge, attitude, and behavior are the medium level, should be regular training activities and psychological counseling, and cultivate high title, long working life, older nursing staff, and practice level.
Chitosan-Coated Solid Lipid Nano-Encapsulation Improves the Therapeutic Antiairway Inflammation Effect of Berberine against COPD in Cigarette Smoke-Exposed Rats
Authors: Liu Hongxiang , Li Yifan , Zhang Xiaoying , Shi Man , Li Dexu , Wang Ying
Published: April 2022

Berberine (Ber) is an isoquinoline alkaloid that has shown therapeutic potential in mice with chronic obstructive pulmonary disease (COPD). However, the therapeutic efficiency of Ber is restricted by its low aqueous solubility and bioavailability. Chitosan and solid lipid nanoparticles (SLNs) have demonstrated great abilities as delivery systems in enhancing the bioavailability of therapeutic compounds. The present study aimed to get together the biological features of SLNs with the advantages of chitosan to formulate an efficient nano-carrier platform for the oral delivery of Ber and evaluate the therapeutic effect of the prepared Ber-encapsulated nanoparticles on airway inflammation in cigarette smoke (CS)-induced COPD rats. The Ber-encapsulated SLE-chitosan formulation was manufactured using a modified solvent-injection method followed by a homogenization process. Physicochemical properties, encapsulation efficiency, in vitro stability and Ber release, and pharmacokinetics of the manufactured formulation were evaluated. The COPD rat model was developed by exposing animals to CS. To study the therapeutic efficiency of Ber-encapsulated SLE-chitosan nanoparticles and pure berberine, the histopathological changes of the lung tissues, levels of inflammatory cells and cytokines, and activities of myeloperoxidase (MPO) and superoxide dismutase (SOD) enzymes were evaluated in bronchoalveolar lavage fluid (BALF). Ber-encapsulated SLE-chitosan showed the particle size in nano-range with high stability and controlled slow-release profile in vitro in simulated gastric (pH 1.5) and intestinal (pH 6.8) fluids. Administration of Ber-loaded SLE-chitosan nanoparticles could significantly ameliorate inflammation scores in lung tissues and reduce levels of inflammatory cells (neutrophils and macrophages) and inflammatory cytokines (IL-1β, Il-6, Il-17, and TNFα) in BALF when compared with the pure Ber. SLE-chitosan-based nanoparticles can strongly improve the therapeutic anti-inflammatory impact of Ber against CS-induced airway inflammation in COPD rats, suggesting the promising application of Ber-encapsulated SLN-chitosan nanoparticles for treating COPD and other inflammation-mediated diseases.
Type 2 Diabetic Mellitus Inhibits Skin Renewal through Inhibiting WNT-Dependent Lgr5+ Hair Follicle Stem Cell Activation in C57BL/6 Mice
Authors: Wang Minghui , Yao Shangsheng , He Dehua , Qahar Mulan , He Jinqing , Yin Meifang , Wu Jun , Yang Guang
Published: April 2022

Background. Hair follicles are important accessory organs of the skin, and it is important for skin renewal and performs variety of important functions. Diabetes can cause several dermatoses; however, its effect on hair follicles is unclear. The purpose of this study was to investigate the effect of type II diabetes (T2DM) on the hair follicles of mice. Methods. Seven-week-old male C57BL/6 littermate mice were divided into two groups. The treatment group was injected with streptozotocin (STZ) to induce T2DM, and the control group was parallelly injected with the same dose of buffer. Seven days after injection, the back is depilated to observe the hair follicle regeneration. Hair follicle regeneration was observed by naked eyes and HE staining. The proliferation of the skin cells was observed by PCNA and K14 staining. The altered genes were screened by RNA sequencing and verified by qRT-PCR. In addition, Lgr5 + GFP/mTmG transgenic mice were used to observe the effect of T2DM on Lgr5 hair follicle stem cells (HFSC). And the expression of WNT4 and WNT8A were measured by Western Blot. Results. T2DM inhibited hair follicle regeneration. Compared to control mice, T2DM mice had smaller hair follicles, reduced skin thickness, and less expression of PCNA and K14. RNA sequencing showed that the two groups had significant differences in cell cycle and proliferation-related pathways. Compared with the control mice, the mRNA expression of Lgr4, Lgr5, Wnt4, and Wnt8a was decreased in the T2DM group. Moreover, T2DM inhibited the activation of Lgr5 HFSC and the expression of WNT4 and WNT8A. Conclusions. T2DM inhibited hair follicle regeneration and skin cells proliferation by inhibiting WNT-dependent Lgr5 HFSC activation. This may be an important reason for the reduction of skin renewal ability and the formation of chronic wounds caused by diabetes. It is important for the treatment of chronic diabetic wounds and the development of tissue engineering.
Mechanical Behavior and Impact Resistance Tendency of Coal Mass with Different Water Content
Authors: Liu Fei , Han Yongsheng
Published: April 2022

As a major hidden danger of mine safety production, the impact resistance tendency of rock seriously restricts the safety and high yield of coal mine. At the same time, as one of the puzzles of rock mechanics, it has been perplexing many domestic and foreign scholars since the recorded rock burst in South Stafford coal mine in 1738. At present, this research is relatively weak; so, it is different for economic and social benefits. The study of the impact resistance law and the antishock measures of water-bearing rocks are extremely meaningful. In order to deeply explore the impact resistance law of rock with different water content and the antishock support measures after roadway excavation, based on the previous research results of the previous research, the impact tendency of different coal samples was firstly tested by coal uniaxial compression experiment, judging and then calculating the damage characteristics of rock with different water content according to the obtained data, as one of the judgment basis of the impact law of coal mine. Secondly, according to the experimental data, the energy evolution characteristics are calculated and analyzed with the graph. Finally, the impact tendency of the rock under different moisture conditions is obtained.
The Development of Interdental Consonants in the Neo-Aramaic Dialects of the Aqra Region
Authors: Al-Zebari Aziz Emmanuel Eliya , Khan Geoffrey
Published: April 2022

This paper is a study of the reflexes of historically interdental consonants in the Neo-Aramaic dialects spoken in the region of Aqra in northern Iraq. These dialects can be classified broadly into those of the villages lying to the north of the Aqra mountain and those of the inhabitants of the region to the south of the mountain. It is shown that there are a wide range of reflexes in the various dialects of this region. Moreover, within individual dialects there is some degree of variation in the reflexes. Most of these can be explained as the result of articulatory phonetic processes. Some of the variations give us insight into the historical layering of the reflexes. There are a few cases of variation that are likely to be the result of dialect mixing.
Russia and the Greek-Catholics of Syria
Authors: Gerd Lora
Published: April 2022

In the 1840s the Russian government for the first time made steps toward systematical use of religious and cultural diplomacy in its Middle East policy. The mission of Porfirii Uspenskii to Syria in 1843–44 was aimed at gathering information on the state of the Orthodox Church and education, and was at the same time fruitful for reconverting Uniates to Orthodoxy. The joining of Bishop Makarios of Amida to the Patriarchate of Antioch in 1846 marked similar actions in the future decades. Porfirii elaborated a strategy of relationship with the non-Orthodox Christians of the Orient, which was used as a means of ‘soft power’ by Russia until the First World War. The article argues that in the conditions of competition as part of the Eastern Question, the Russian government was looking for new methods of church policy and paid special attention to converting the Greek Catholics and other non-Orthodox communities into Orthodoxy.
Urban Cycling Mobility in the European Green Deal
Authors: Monti Alessandro
Published: April 2022

The European Green Deal aims at achieving a 90% reduction in transport emissions by 2050. To this end, it sets forth a Sustainable and Smart Mobility Strategy, providing a roadmap for the reduction of transport-related emissions. Investments in alternative fuels, electric cars and the renewal of public transport fleets rank high on the agenda. On the contrary, comparatively less attention is devoted to the promotion of cycling mobility, despite the well-demonstrated benefits of increasing the cyclability of urban areas. Such benefits encompass, on one hand, substantial environmental improvements that would arise from the replacement of motorized transport with human-powered forms of mobility, in terms of both ghg emissions reduction and air quality improvement. On the other hand, investing in cycling mobility also has important health and social co-benefits, for instance in terms of prevention of cardiovascular diseases and economic affordability. Against this background, this paper examines whether, and how, the policy framework laid out in the European Green Deal can drive the growth of cycling mobility in European cities. The paper is structured as follows. First, it introduces the concept of cycling mobility, focusing in particular on its environmental and economic benefits. Then, it turns to an analysis of cycling mobility policies in the EU law, with special focus on the European Green Deal. Lastly, it explores how the EU normative framework can be strengthened in order to enhance the promotion of urban cycling mobility.
Emerging Land Use Challenges and Overlapping Interests in a Remote Community
Authors: Kuklina Maria , Kuklina Vera , Krasnoshtanova Natalia , Kobylkin Dmitrii , Rasputina Elena , Batotsyrenov Eduard , Trufanov Andrey
Published: April 2022

Okinskiy district of Buryatia is characterised by the entanglement of heterogeneous economies formed by the global demand for gold and jade, the remnants of Soviet planning systems at the local and municipal levels, traditional Soyot and Buryat land use practices and nascent adventure and recreational tourist flows. In a situation where most of the economic and social relations remain informal and rarely captured in the official documents, landscapes become the visible marker of the changing, intersecting and sometimes conflicting interests of these actors. In this paper, we analyse and juxtapose social and landscape data to examine how these relations are manifested in the land cover, which is a valuable proxy for studies of landscapes in a situation of remoteness. Using interviews and observations, we collected and analysed data on pertinent social, cultural and professional ties and examined local land-use practices and diverse economic interests during fieldwork in August 2020. The analysis of forest change was carried out using statistical and forest plan data, and a land-cover map was created using Landsat satellite images from 2020. The resulting map illustrates preservation of a traditional way of life in the form of seasonal migration infrastructure which includes summer pastures with summer houses and informal roads connecting them with settlements. However, multi-temporal maps with field data validation are needed to support more detailed accounts of change captured in the interviews.
The Impact of Choice-of-Law Rules in Cross-Border Pollution Damage Caused by Petroleum Spills from Offshore Rigs and Installations: The Case of the Barents Sea
Authors: Svendsen Kristoffer
Published: April 2022

The article examines the impact of choice-of-law rules in cross-border pollution damage caused by petroleum spills from offshore rigs and installations in the Barents Sea. Norway and Russia share the Barents Sea, and the ocean currents go from West to East. Therefore, the article examines the impact of an oil spill from a Norwegian licensee on the Norwegian side of the Barents Sea on a Russian party harmed by the spill on the Russian side of the Barents Sea. The article shows the procedural hurdles a Russian harmed party would need to jump in order to access Norwegian courts. The question of venue is clear. Lex loci damni is the principle enacted in the Norwegian Petroleum Act. It contains a unilateral extension of protection in delict law to Norwegian interests harmed in Russia, which is not extended to injured Russian parties harmed within the Russian jurisdiction, for situations where the source of harm is located on the Norwegian side of the Barents Sea. An injured Russian party forced to pursue a legal claim against a Norwegian licensee without assets in Russia may receive no compensation because no agreement exists between Norway and Russia regarding recognition and enforcement of foreign court judgments.
Review of Outcomes of Low Verses Standard Pressure Pneumoperitoneum in Laparoscopic Surgery
Authors: Saway John P. , McCaul Megan , Mulekar Madhuri S. , McMahon Daniel P. , Richards William O.
Published: April 2022

Background

Carbon dioxide pneumoperitoneum during laparoscopy changes cardiorespiratory physiology and contributes to post-op pain. We studied outcomes before and after implementing low-pressure pneumoperitoneum QI project.

Methods

Forty-two patients were insufflated at standard pressures (15 mmHg) while 41 were insufflated using low (8-12 mmHg) during laparoscopic procedures. These variables were obtained from the patient chart: pain scores, intravenous morphine milligram equivalents (MME), peak inspiratory pressures (PIP), end-tidal CO2 (EtCO2), surgery duration, and patient demographics. The study was conducted after IRB approval.

Results

Low-pressure pneumoperitoneum is feasible and the surgeon can increase to 10-12 mmHg as needed. The mean post-op IV MME was significantly decreased in the low-pressure group (11.75 ± 10.41) compared to the standard pressure group (17.36 ± 18.1) (t-test, P = .047). Mean peak inspiratory pressures during insufflation were significantly higher for procedures conducted at standard pressure (31.40 ± 4.82) compared to the 8 mmHg (24.68 ± 4.19) and 12 mmHg (27.33± 3.85) low pressure groups (one-way ANOVA, P < .0001). During insufflation, there was a significant increase in the average EtCO2 in the standard pressure group (42.07 ± 5.60) compared to the 8 mmHg low pressure group (37.59 ± 5.05) (ANOVA, P = .0096). Constant flow insufflation was more likely to be performed at low pressure than demand mode (58% v. 33%).

Conclusion

Low pressure pneumoperitoneum decreases PIP pressure and CO2 absorption evidenced by lower ETCO2 intra-operatively. Patients have significant improvement in postoperative pain evidenced by decreased narcotics needed. Low pressure pneumoperitoneum using a constant flow insufflator is safe and results in improved patient outcomes.
Temporary Mechanical Circulatory Support in Cardiogenic Shock due to ST-Elevation Myocardial Infarction: Analysis of the National Readmissions Database
Authors: Briasoulis Alexandros , Kampaktsis Polydoros , Emfietzoglou Maria , Kuno Toshiki , Van den Eynde Jef , Ntalianis Argyrios , Duque Ernesto Ruiz , Malik Aaqib H
Published: April 2022

Despite advances in temporary mechanical circulatory support (TMCS), in-hospital mortality and morbidity related to cardiogenic shock due to ST elevation myocardial infarction (CS-STEMI) are highly prevalent. We identified admissions with CS-STEMI between 2016 and 2019 from the National Readmission Database (NRD). Among 80 997 patients with CS-STEMI, we identified 42,139 without TMCS, while the remaining received various types of TMCS (Extra corporeal membrane oxygenation [ECMO] alone: n = 753; Intra-aortic balloon pump [IABP] alone: n = 27 556; Impella alone: n = 9055; ECMO with IABP or Impella: n = 1494). 30-day readmission rates did not differ among groups, whereas 90-day readmissions were higher among those with combined ECMO and IABP or Impella support ( P = .027). In-hospital mortality and complications including hemodialysis, transfusion, and stroke were the highest in the Impella and combined ECMO and IABP/Impella groups. Heart failure was the most common cause of readmission. Multivariable logistic regression revealed female gender, diabetes, prior myocardial infarction, heart failure, chronic kidney, and peripheral artery disease as risk factors for 90-day readmissions. Our study unveiled several important factors associated with readmission and mortality related to TMCS in CS-STEMI. Approaches to identify and prevent readmissions by addressing these factors may lead to lower morbidity, healthcare cost related to readmission, and improved quality of life.
The Incursion of Antitrust into China’s Platform Economy
Authors: Marco Colino Sandra
Published: April 2022

This article adopts a holistic approach to China’s antitrust strategy toward the platform economy. As enforcers everywhere come to terms with the unique challenges posed by the market power amassed by digital gatekeepers, China’s sudden, fierce attack on its own tech giants has been as effective as it has been baffling to observers, and has helped antitrust policy progress by leaps and bounds. However, antitrust is only one of several battlefields of the war on platforms. This article first dissects the competition law developments that have taken place in the first year of China’s “Big Tech crackdown,” focusing on enforcement, policymaking, and law and institutional reform. Thereafter, this article joins the dots and assesses the results of the (partly) Big Tech-motivated refurbishment of the Chinese antitrust law and policy landscape. It identifies certain risks stemming from the new reinforced system, and proposes ways circumvent these and reap the benefits of the improved legal framework.