bluuebunny/crossref_metadata_2025 huggingface dataset:
Association between Dietary Inflammatory Index Scores and Diabetes Sensorimotor Polyneuropathy in Patients with Type 2 Diabetes Mellitus: A Case-Control Study
Authors: Asadi Sara , Aminianfar Azadeh , Shiva Fahimeh , Asadi Sasan , Yarizadeh Habib , Qorbani Mostafa , Mirzaei Khadijeh
Published: April 2022

Background. Diabetes sensorimotor polyneuropathy (DSPN) is a common complication of diabetes. Diet has been previously related to DSPN. However, no studies have investigated the relationship between the inflammatory potential of the whole diet and DSPN. So, we aimed to examine the association between dietary inflammatory index (DII) and DSPN in Iranian adults. Methods. A total of 185 subjects with DSPN and 185 sex- and age-matched controls were selected in this case-control study. A 168-item validated food frequency questionnaire (FFQ) was used to assay dietary intakes. DII was calculated based on the developed formula. The Toronto clinical neuropathy score was applied to define DSPN. Binary logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs) of DII in relation to DSPN. Results. Mean values of age and BMI for all the participants were reported as 50.79 and 28.60, respectively. Also, the median (IQR) of DII for all the participants was estimated as −0.091 (−0.93, 1.07). Our findings suggest that participants in the highest quartile of the DII had higher odds of DSPN (OR = 1.76; 95% CI: 1.03, 3.36) (

p

-trend = 0.01) compared to subjects in the lowest quartile of DII scores after adjustment for age and sex. Additionally, a strong association was observed after adjusting for energy intake, physical activity, education, smoking status, economic status, marital status, job, BMI, and WC in model 2 (OR = 2.23, 95% CI = 1.13–4.39) (

p

-trend = 0.0048). Conclusion. Higher DII score was associated with an increased risk of DSPN. Therefore, it is possible that a diet rich in anti-inflammatory nutrients and foods could improve and prevent DSPN.
English Translation Teaching Algorithm in Colleges and Universities Using Data-Driven Deep Learning
Authors: Wang Yuan
Published: April 2022

The data-driven learning model is a newer learning method. It not only provides learners with rich, diverse, and real-language big data, but it also creates an ideal learning environment for them because of its corpus-based teaching and learning characteristics. This paper will look at how to analyze and research data-driven learning in college English translation classes, as well as describe the data-driven approach. This paper presents the problem of data-driven translation teaching design, then expands on the concepts and learning methods of deep learning, and conducts case design and analysis of college English translation teaching. The results of the experiments show that there are numerous issues in traditional translation instruction, some of which are caused by students and others by teachers. The overall situation of the experimental group is better than that of the control group after the application of the college English translation teaching design, indicating that the DDL method is better than the traditional method (

Mean
=
5.02
>
0

), and the overall effect of DDL is better than that of the traditional method.
Analysis of Health Assessment of Water Resources of Futuan River in Rizhao City by 5G Wireless Communication
Authors: Ding Lin , Wang Qilin , Zheng Yuan , Chen Xiushuo , Zheng Yidan , Zhang Jing , Xu Hui
Published: April 2022

The purpose is to comprehensively evaluate the health status of the water resources of the Futuan River in Rizhao City. According to the natural and social service functions of the river, combined with the actual situation of the water resources of the Futuan River, an indicator system of comprehensive river health evaluation is constructed. Firstly, the application of 5G technology in ecological environment detection is introduced. Secondly, an indicator system for river health assessment is constructed from five aspects: hydrology and water resources, water quality, aquatic organisms, physical structure, and social service function. The fuzzy analytic hierarchy process (FAHP) is used to determine the membership degrees of the indicators to different health levels, and the comprehensive health value of the river is comprehensively determined. Finally, the groundwater quality of Futuan River is estimated, the balance of water supply and demand is analyzed, and the health of Futuan River in Rizhao City is evaluated. The results show that the total hardness of groundwater in Futuan River ranges from 30.26 to 5065.24 mg/L, and the average value is 370.02 mg/L. The pH range is 6-7.5 with an average of 6.9, and the TDS range is 90.13-26609.24 mg/L with an average of 831.32 mg/L. The Futuan River has a score of 0.67 for river health, which is in a critical state. The overall scores of hydrology, water quality, and aquatic organisms are 0.64, 0.77, and 0.63, respectively. The health level of these three is also in a critical state. The physical structure has a score of 0.51, and its health rating is in poor condition. The score of social service function is 0.64, and its health level is in the subhealth state. This research provides an idea for the management and restoration of the Futuan River in Rizhao City.
Norcantharidin Nanostructured Lipid Carrier (NCTD-NLC) Suppresses the Viability of Human Hepatocellular Carcinoma HepG2 Cells and Accelerates the Apoptosis
Authors: Yan Zijun , Yang Kun , Tang Xiang , Bi Yunfeng , Ding Yuzhen , Deng Mengyue , Xia Die , Zhao Yunqi , Chen Tong
Published: April 2022

Malignant tumors have become the main cause of harm to human life and health. Development for new antitumor drugs and the exploration to drug carriers are becoming the concerned focus. In this study, we exploited our experiments to explore the effect of NCTD-NLC on liver cancer cells: the HepG2 cells cultured in vitro were given with NCTD-NLC administration; then, the estimation on cellular proliferation and apoptosis was accomplished through MTT and flow cytometry. Six hours after the administration, we performed the High Performance Liquid Chromatography (HPLC) detection to estimate the NCTD content in the heart, liver, spleen, lung, kidney and plasma of rats. Then, our outcomes showed that NCTD-NLC had a notable inhibitory effect on HepG2 cells, leading to a gradually decreased cellular viability. Cell viability was negatively correlated with NCTD-NLC concentration. Along with the concentration increasing, significantly increasing cellular apoptosis and gradually decreasing cellular viability were observed. The apoptosis rate was positively correlated with the concentration of NCTD-NLC. On the basis of the data we obtained, we found that the group with NCTD-NLC tail vein injection had an obvious advantage in drug delivery when compared with other groups. Through the tumorigenesis test to nude mice, we found that the tumor inhibition rate of the NCTD-NLC tail vein injection group had a 27.48% elevation in contrast to the NCTD gavage group, and it was also the group with the best tumor inhibition efficiency. In conclusion, the NCTD-NLC prepared in this study had a mighty inhibitory effect towards HepG2 cellular viability and an accelerating work on apoptosis. Tail vein injection of NCTD-NLC has the best drug delivery effect.
Multiscale Fracturing in Medium- to Low-Rank Coals and Its Implications on Coalbed Methane Production in the Baode Area, Eastern Ordos Basin, China
Authors: Zhang Wei , Zhao Baoshan , Zhang Qingfeng , Zhang Jikun , Li Ziling , Sun Xiaoguang , Yan Mingming
Published: April 2022

Coal fractures are crucial in affecting the production of methane from coal. Multiscale fracturing and its implications on coalbed methane production have still not been fully understood. Herein, we present a case study, combining underground coal mine surveying and specimen, thin section, and scanning electron microscope observations for illustrating the ~m-, ~cm-, ~mm-, and ~μm-scale fractures present in the Baode area, eastern Ordos Basin, China. Then, the fracture connectivity is evaluated by helium permeability and mercury porosimetry measurement. The coals are mainly of semibright, semidull, and dull macrolithotypes. And main maceral composition is vitrinite, accounting for 73%~95%, with around 26% inertinite. The coals are ultralow-ash and low-ash content, belonging to high-volatile bituminous coal. The ~m scale fractures can penetrate the whole coal seams, dominant by S-N and following E-W direction, which were generated during the Yanshanian and Himalayan movements. The ~cm fractures are generally parallel to the lamina, influenced by the bright and dull coal band extension caused by the depositional differences. The ~mm fractures are mainly shown as endogenous fractures perpendicular to the lamina restricted within bright macrolithotypes. There are also ~mm fractures that are perpendicular to the lamina while penetrating dull components and fractures parallel to the lamina. The ~μm fractures are widely distributed and connect each other. Some of the fractures are filled with carbonate and clay minerals and are beneficial for methane migration, caused by hydraulic fracturing. The average mercury withdrawal efficiency of the coals was 75%. The helium permeability of the coals was between

10
×

10

−
3

and

50
×

10

−
3

 μm2, indicating good fracture connectivity. The study findings, which indicated the presence of fractures of different scales in the coals studied, can be used for fully understanding the coalbed methane performance of medium- and low-rank coals.
Association of Clinical Features of Colorectal Cancer with Circulating Tumor Cells and Systemic Inflammatory Markers
Authors: Xing Yasi , Qin Fangyuan , Zhai Yaping , Yang Jingwen , Yan Yiyang , Li Dan , Zhang Han , Hu Renwang , Xu Xianjing , Cao Xuanchao , Huang Gairong , Liu Xiang
Published: April 2022

Background. Circulating tumor cells (CTCs) in peripheral blood have been shown to reflect the prognosis of patients with colorectal cancer, and epithelial and mesenchymal markers further predict the likelihood of cancer dissemination. This study was conducted to identify possible association of clinical features of colorectal cancer with CTC counts, their subtypes, and systemic inflammatory markers. Methods. Blood samples of 316 colorectal cancer patients were used for CTC detection and subtyping with EpCAM, CK8/18/19, vimentin, and twist as biomarkers. The neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, C-reactive protein/albumin ratio, lymphocyte/monocyte ratio, and systemic immune-inflammation index (SII) were also measured. The relationship between clinical data and these markers or parameters was analyzed. Results. Total CTC counts were correlated with whether there was lymph node involvement but was not correlated with TNM staging. There was a difference in mesenchymal CTCs between patients with and without lymph node involvement (

P
<
0.05

). Also, more patients with metastasis tested positive for mesenchymal CTCs (

P
<
0.05

). Of the systemic inflammatory markers, platelet/lymphocyte ratio was positively correlated with CTC counts (

P
<
0.01

), and lymphocyte/monocyte ratio was negatively correlated with CTC counts (

P
<
0.05

). Conclusions. Colorectal cancer patients with the mesenchymal markers on their CTCs are more likely to have lymph node involvement or distant metastasis than those without these markers.
Artificial-Intelligence-Based Fuzzy Comprehensive Evaluation of Innovative Knowledge Management in Universities
Authors: Liu Rui , Zhang Hui
Published: April 2022

By considering the comprehensive impact index ranking of all factors to identify the impact of university innovation knowledge, the group decision-making characteristic root method, decision-making experiment, and evaluation laboratory method are used to analyze the factors that affect the university’s innovative knowledge management ability. The key factors affecting management capabilities have been identified and reviewed to establish measures to enhance the innovative knowledge management capabilities of colleges and universities. Using artificial intelligence-based knowledge management fuzzy evaluation algorithm evaluation model to evaluate the innovation knowledge management of 16 universities, the results obtained are consistent with the actual evaluation results of the year; this result proves the fuzziness of university innovation knowledge management, which is based on artificial intelligence fuzzy. The algorithm is evaluated. The results show that the evaluation model is feasible.
Development and Testing of Road Signs Alert System Using a Smart Mobile Phone
Authors: Masatu Eric M. , Sinde Ramadhani , Sam Anael
Published: April 2022

Road traffic accident is a major problem worldwide resulting in significant morbidity and mortality. Advanced driver assistance systems are one of the salient features of intelligent systems in transportation. They improve vehicle safety by providing real-time traffic information to the driver. Road signs play an important role in road safety. To be effective, road signs must be visible at a distance that enables drivers to take the necessary actions. However, static road signs are often seen too late for a driver to respond accordingly. In this study, a system for alerting drivers about road signs has been developed and tested using a smart mobile phone. The study was carried out in Tanzania along an 80 km highway stretch from Arusha to Moshi town. The Haversine formula was used to measure and estimate the distance between two pairs of coordinates using the smartphone-based navigation application, Google Map. The application provides a voice alert to a needed action that enhances driver’s attention. We propose an alternative method that identifies and modifies a specific class of energy inefficiencies. According to the experimental results, the proposed methodology has the benefits of high accuracy within a user radius of 10 meters, minimum bandwidth, and low-cost application. Furthermore, the system application was secured by limiting access to the application program interface key to avoid unauthorized access to sensitive information.
Climate Change Adaptation Strategies for Hydropower Development in Sondu Miriu Basin
Authors: Ochieng Willis Owino , Oludhe Christopher , Dulo Simeon , Olaka Lydia
Published: April 2022

Hydropower is sustainable and environmentally friendly source of energy worldwide. Driven by streamflow, it is vulnerable to climate change and land use change. The hydropower production from the two existing run-of-river hydropower projects on the Sondu Miriu River is vulnerable to rainfall variability and requires strategies for building resilience for the local communities. The objective of this study was to identify appropriate and sustainable strategies for integrating climate change adaptation into hydropower development within the Sondu Miriu River Basin. The methodology involved review of existing climate change adaptation strategies to identify appropriate strategies for integrating climate change adaptation in hydropower developments within the Sondu Miriu River Basin. The results indicate that no clear climate change adaptation strategies are being implemented within the basin. A framework is needed to implement appropriate climate change adaptation strategies within the basin. Climate Change act of 2016 created linkage with other existing policies for effective support of integration of climate change adaptation into hydropower development in Sondu Miriu River Basin. Strengthening community resilience to climate change impacts is one of the benefits to be derived from the hydropower projects by supporting appropriate adaptation strategies.
Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems
Authors: El-Shorbagy M. A.
Published: April 2022

The aim of this article is to present a chaotic fruit fly algorithm (CFFA) as an optimization approach for solving engineering design problems (EDPs). In CFFA, the fruit fly algorithm (FFA), which is recognized for its durability and efficiency in addressing optimization problems, was paired with the chaotic local search (CLS) method, which allows for local exploitation. CFFA will be set up to work in two phases: in the first, FFA will be used to discover an approximate solution, and in the second, chaotic local search (CLS) will be used to locate the optimal solution. As a result, CFFA can address difficulties associated with the basic FFA such as falling into local optima, an imbalance between exploitation and exploration, and a lack of optimum solution acquisition (i.e., overcoming the drawback of premature convergence and increasing the local exploitation capability). The chaotic logistic map is employed in the CLS because it has been demonstrated to be effective in improving the quality of solutions and giving the best performance by many studies. The proposed algorithm is tested by the set of CEC’2005 special sessions on real parameter optimization and many EDPs from the most recent test suite CEC’2020. The results have demonstrated the superiority of the proposed approach to finding the global optimal solution. Finally, CFFA′s results were compared to those of earlier research, and statistical analysis using Friedman and Wilcoxon's tests revealed its superiority and capacity to tackle this type of problem.
Design of Graph-Based Layered Learning-Driven Model for Anomaly Detection in Distributed Cloud IoT Network
Authors: Khalaf Osamah Ibrahim , Ogudo Kingsley A. , Sangeetha S. K. B.
Published: April 2022

Within numerous IoT domains, recent IoT proliferation has influenced organizational activities and business procedures. The number of connected edge devices has increased dramatically, resulting in a vast stream of data that is prone to leakage and manipulation, decreasing the security level of the attacked IoT ecosystem. Anomaly detection systems based on graphs have been widely used to prevent network malfunction while considering the mergers of organizations involved, modeling their relationships, and integrating their structural features, content, and temporary features. We propose a multi-agent system that uses the collaborative environment of smart agents to find anomalies. Each agent implements a Graph-based Layered Learning-Driven (GLLD) network. To this end, we design an anomaly detection technique that attempts to efficiently monitor the entire network infrastructure to combat the spreading nature of cyber-attacks. BoT IoT dataset and Code Red worm attack dataset are used for training and testing various traffic distributions to demonstrate the outperformance of the model.
The Protective Effect of Ginsenoside Rg1 on Apoptosis in Human Ankle Joint Traumatic Arthritis Chondrocytes
Authors: Xu Zhiqiang , Li Xue , Shen Guodong , Zou Yunxuan , Zhang Hongning , Yang Kangyong , Zhu Yongzhan
Published: April 2022

The ankle biomechanics is easily changed due to the acute injury of the tissue around the ankle joint and the damage of the ankle joint structure, such as ankle instability and joint surface imbalance. When the mechanical load of the ankle changes, it can cause ankle regeneration and remodeling processes such as cartilage loss, bone remodeling, and degenerative changes. The aim of this study was to investigate the effect and mechanism of ginsenoside Rg1 against interleukin-1β (IL-1β)-induced apoptosis in human articular chondrocytes (HACs). The apoptosis model of HAC cells was established by IL-1β induction, and then the HAC cells were cultured with different concentrations of Rg1. The protective effect of Rg1 on HAC cell apoptosis was investigated by detecting the changes of apoptosis and activity of PI3K/Akt/mitochondrial signaling pathway. The results showed that a specific concentration of Rg1 could promote the proliferation of IL-1β-induced HAC cells and inhibit apoptosis. At the same time, Rg1 treatment with specific concentration can reduce the content of reactive oxygen species (ROS) and malondialdehyde (MDA) in HACs and improve the related expression of mitochondrial membrane potential (MMP). Furthermore, qRT-PCR and western blot results showed that Rg1 could improve the low expression of Bcl-2 and inhibit the high expression of Bax, caspase-3, caspase-8, caspase-9, FasL, AIF, and Cyto c in IL-1β-induced cells. In summary, Rg1 can inhibit IL-1β-induced apoptosis of HAC cells by decreasing the activity of PI3K/Akt/mitochondrial signaling pathway, and Rg1 has a protective effect on apoptosis of HAC cells.
Land Resource Use Classification Using Deep Learning in Ecological Remote Sensing Images
Authors: Xia Bin , Kong Fanyu , Zhou Jun , Wu Xin , Xie Qiong
Published: April 2022

Aiming at the problems that the traditional remote sensing image classification methods cannot effectively integrate a variety of deep learning features and poor classification performance, a land resource use classification method based on a convolutional neural network (CNN) in ecological remote sensing images is proposed. In this study, a seven-layer convolution neural network is constructed, and then the two fully connected layer features of the improved CNN network training output are fused with the fifth layer pooled layer features after dimensionality reduction by principal component analysis (PCA), so as to obtain an effective remote sensing image feature of land resources based on deep learning. Further, the classification of land resources remote sensing images is completed based on a support vector machine classifier. The remote sensing images of Pingshuo mining area in Shanxi Province are used to analyze the proposed method. The results show that the edge of the recognized image is clear, the classification accuracy, misclassification rate, and kappa coefficient are 0.9472, 0.0528, and 0.9435, respectively, and the model has excellent overall performance and good classification effect.
Experimental Characterization of the Influence of Ore Drawing Parameters on Tailing Deposition
Authors: Duan Zhijie , Shi Hai , Li Quanming , Liu Qianhui , Yu Yuzhen
Published: April 2022

The sedimentary structure is important for the engineering design, operation, and safety evaluation of tailing dams. For upstream-method tailing dams, tailing slurry flows and deposits in the pond and forms a complex dam structure. Ore drawing parameters (e.g., slurry concentration and flow rate) have significant influence on the sedimentary structure of tailing dams. However, there is a lack of unified and quantitative understanding of the complicated effects of ore drawing parameters on the deposition behaviour of tailings. In the present study, flume tests were applied to investigate the characteristics of the sedimentary structure of tailing dams. Seven ore drawing experiments were conducted to simulate different slurry concentrations and flow rates. The distribution of characteristic particle sizes

d

50

and

d

10

of sediment was obtained. Furthermore, considering two dominant features of particle size distribution, a mathematical model for the equation between characteristic particle size and deposition distance was established. The exponential part of this equation describes the decreasing trend of the characteristic particle size, and a smooth step function is introduced to characterize the abrupt decrease in particle size. The experimental data of

d

50

and

d

10

in all these test cases can be approximated by the equation with correlation coefficients

R

2

greater than 0.861. As the slurry concentration of ore drawing increases, the hydraulic sorting gradually weakens. The characteristic particle size distribution curves corresponding to a larger flow rate are generally located above those corresponding to a small flow rate, indicating that the larger the flow rate is, the coarser the sediment. This study provided useful information for the determination of ore drawing parameters in actual tailing dams. The mathematical model of tailings’ particle size distribution can be further used for refined modelling of tailing dams, so as to analyse the safety and stability of the dams.
Downregulated XBP-1 Rescues Cerebral Ischemia/Reperfusion Injury-Induced Pyroptosis via the NLRP3/Caspase-1/GSDMD Axis
Authors: Zhang Yueting , Yao Zhihui , Xiao Yan , Zhang Xiaoling , Liu Jiaxin
Published: April 2022

Ischemic stroke is a major condition that remains extremely problematic to treat. A cerebral reperfusion injury becomes apparent after an ischemic accident when reoxygenation of the afflicted area produces pathological side effects that are different than those induced by the initial oxygen and nutrient deprivation insult. Pyroptosis is a form of lytic programmed cell death that is distinct from apoptosis, which is initiated by inflammasomes and depends on the activation of Caspase-1. Then, Caspase-1 mobilizes the N-domain of gasdermin D (GSDMD), resulting in the release of cytokines, such as interleukin-1β (IL-1β) and interleukin-18 (IL-18). X-box binding protein l (XBP-1) is activated under endoplasmic reticulum (ER) stress to form an important transcription factor XBP-1 splicing (XBP-1s). The cerebral ischemia/reperfusion (CI/R) causes cytotoxicity, which correlates with the activation of splicing XBP-1 mRNA and NLRP3 (NOD-, LRR-, and pyrin domain-containing 3) inflammasomes, along with increases in the expression and secretion of proinflammatory cytokines and upregulation of pyroptosis-related genes in HT22 cells and in the middle cerebral artery occlusion (MCAO) rat model. However, whether XBP-1 plays a role in regulating pyroptosis involved in CI/R is still unknown. Our present study showed that behavior deficits, cerebral ischemic lesions, and neuronal death resulted from CI/R. CI/R increased the mRNA level of XBP-1s, NLRP3, IL-1β, and IL-18 and the expressions of XBP-1s, NLRP3, Caspase-1, GSDMD-N, IL-1β, and IL-18. We further repeated this process in HT22 cells and C8-B4 cells and found that OGD/R decreased cell viability and increased LDH release, XBP-1s, NLRP3, Caspase-1, GSDMD-N, IL-1β, IL-18, and especially the ratio of pyroptosis, which were reversed by Z-YVAD-FMK and downregulated XBP-1. Our results suggest that downregulated XBP-1 inhibited pyroptosis through the classical NLRP3/Caspase-1/GSDMD pathway to protect the neurons.
Study on Dynamics of Hydraulic Control System for Automatic Loading and Unloading of Drill Pipe of Geological Drilling Rig
Authors: Liu Zhijian , Chen Yunlong , Ruan Hailong
Published: April 2022

With the increasing demand for resources, the task of the geological survey is growing rapidly. The automatic geological drilling rig, which can improve the efficiency of the geological survey, has become the mainstream development direction. In this study, the hydraulic control system for the automatic screw up and screw down of an automatic drilling rig is studied. Through the establishment of mathematical models such as the four-way slide valve controlled asymmetric cylinder model, drill pipe thread stress model, and steel wire rope elastic model, the hydraulic valve is used to limit the pressure of the hydraulic cylinder, closed-loop control to control rotation speed, and power head floating to prevent screw damage and realize the automatic control of drill pipe up and down of a geological drilling rig. The hydraulic control system is simulated by AMESim software. The simulation model verifies the mathematical model. It is concluded that the maximum transient force of steel wire rope is caused by the elastic coefficient K of steel wire rope, but the magnitude is independent of K. The transient force is the periodic motion force. The displacement, velocity, and acceleration of load are periodic functions related to time. By installing a small flow load sensing valve, the displacement of an asymmetric hydraulic cylinder can be accurately controlled, and then, the displacement of the drilling rig powerhead can be controlled. The combined action of drill pipe speed and power head displacement is adopted, and the power head displacement is followed by PID control through the feedback value of the drill pipe speed, which can realize the automatic loading and unloading of drill pipe and reduce the damage of drill pipe screw during loading and unloading of drill pipe. The research results of this study can provide a theoretical reference and design basis for the follow-up development of an automatic drilling rig.
Construction of Home Product Design System Based on Self-Encoder Depth Neural Network
Authors: Lu Guangpu
Published: April 2022

The traditional home product design system mainly depends on relatively shallow learning network, relatively simple embedded technology and Internet of things technology. The traditional home design system mainly depends on the traditional self-encoder technology. When combined with the deep neural network, this technology has serious defects in the computer vision algorithm, resulting in the serious waste of the corresponding system storage and computing resources, the corresponding system learning efficiency is relatively poor and the learning ability is weak. Based on this, this paper will build a home product design system based on the deep neural network of self-encoder. By improving the sparsity of self-encoder in the process of learning and training, we can further improve the sparsity of the system and further optimize the structure of self-encoder in the design system, The performance of the deep learning model of the design system is further improved through the hierarchical features continuously learned by the self-encoder in the process of home case design. Based on the optimization of the home product design system in this paper, the system effectively improves and improves the accuracy and stability of the internal feature classifier of the system, and improves the overall performance of the furniture design system. In the specific system construction part, based on ZigBee technology and embedded technology as the design carrier, and adhering to the goal of simplicity, intelligence and convenience, this paper designs and constructs the home product design system. The experimental results show that the noise processing level of the proposed home product design system is lower than 4-5db compared with the traditional design system, and the corresponding image classification accuracy is about 4% higher than the traditional design system. Therefore, the experimental results show that the home design system proposed in this paper has obvious advantages.
Research on Towed Linear Array Shape Measurement Method Based on Biorthogonal Signal
Authors: Zhang Sen , Wang Ming-Zhi , Yuan Jun , Zhou Chen-Lin
Published: April 2022

Systematic error and random error are main factors affecting the positioning of biorthogonal signal underwater positioning system. Based on the operation theory of USBL, this paper quantitatively analyzes a theoretical analysis and simulation calculations on influence of different error sources on the positioning accuracy and qualitatively analyzes the effectiveness of the towed linear array shape measurement method based on biorthogonal signal through practical experiments. By comparing the measurement effect after correction by using the measurement array with the measurement effect based on the linear array, the effectiveness of the method is verified.
Application of 5G Internet of Things Technology in the Design of Physical Education Platform
Authors: Wang Jing
Published: April 2022

The traditional college physical education platform can only assist classroom teaching and cannot collect classroom teaching activity data in real time, and its role is very limited. With the rapid development of information technology, China’s mobile communication has entered the 5G era and the Internet of Things technology will be more widely used and developed. This paper focuses on the integration technology of 5G and the Internet of Things, analyzes the current situation of the construction of the physical education platform in colleges and universities, and proposes the application of the 5G-based Internet of Things technology in the physical education platform. At the same time, the research of this paper is oriented to real-time physical education activities, using the Internet of Things technology and wireless network technology, combined with the traditional campus network and IT information technology means, to propose a new, dynamic, and open sports network teaching platform design. Activity data collection, analysis, modeling, mining, display, feedback, self-improvement, etc. are expounded. At the same time, the realization technology of the model is discussed, and the experimental design of the combination of the platform and volleyball sports teaching is carried out. The experiment shows that through the platform, simulation can better promote students’ understanding, mastery, and application of basic techniques such as passing, padding, and serving. The research results show that the platform can make the teaching content intuitive and collect teaching activity data in real time. The interaction between students is helpful for teachers to strengthen the guidance of students’ learning process and improve the quality of physical education in higher vocational education.
Research on Compression Sensing Positioning Algorithm of Indoor Complex Environment Visible Light Indoor Based on Hybrid APIT
Authors: Li Yi
Published: April 2022

In today’s highly urbanized world, indoor space is becoming more extensive and more complex, and under the increasingly urgent needs, indoor positioning has attracted people’s attention. With the rapid development of LED lighting technology, indoor positioning technology based on visible light communication has many advantages over traditional indoor positioning technology. Aiming at the influence of environmental factors such as noise and reflected light on the positioning accuracy, the compression perception theory is applied to the localization of visible light. The position of the receiving end in the positioning space is defined as a sparse variable in the discrete space. The power measurement matrix is expressed as the product of the observation matrix, and the sparse matrix and sparse vector in the compression perception theory are expressed. The traditional APIT algorithm is easy to misjudge unknown nodes in the triangle, resulting in low positioning accuracy of the algorithm. In this study, an indoor visible positioning algorithm based on hybrid APIT is proposed, which uses the area relationship of the triangle to determine the initial position of the unknown node, and then uses the tangent circle to further narrow the area where the unknown node may be located, and uses the hybrid centroid localization algorithm to obtain the estimated position of the unknown node.
Anything New in the Treatment of Obesity in Obese Patients with CKD?
Authors: Sandino Justo , Cordero Garcia-Galán Lucia , Aubert Girbal Lucia , Praga Manuel , Pascual Julio , Morales Enrique
Published: April 2022

Treatment for obesity in patients with CKD englobes a wide range of options, from lifestyle modification to bariatric surgery. Weight loss improves metabolic parameters and stimulates changes in renal function that lead to improvement of glomerular hyperfiltration. The most common clinical presentation is a slowly increasing non-nephrotic proteinuria that is followed by a progressive decline of kidney function. The use of multitarget therapies, with appropriate dietary education, emerging diets, the use of new RAAS blocking agents, the combination of iSGLT2 or GLP-1 agonists, as well as bariatric surgery, may play a key role in finally achieving the desired nephroprotection in this CKD population. New therapeutic agents and novel biomarkers, such as adipocyte cytokines, are needed to monitor and mitigate progression to end-stage renal disease. The emerging “lipidomics” and the role of nonalcoholic fatty liver are relevant research lines.
Ferramenta de apoio à decisão sobre o rastreamento do câncer de próstata no Brasil
Authors: Santos Renata Oliveira Maciel dos , Abreu Mirhelen Mendes de , Migowski Arn , Engstrom Elyne Montenegro
Published: April 2022

OBJETIVO Apresentar o processo de desenvolvimento e validação de uma ferramenta de apoio à decisão para o rastreamento do câncer de próstata no Brasil. MÉTODOS Estudo com desenho qualitativo-participativo para elaboração de uma ferramenta de apoio à decisão para o rastreamento do câncer de próstata, com a participação de um grupo de homens e médicos inseridos na atenção primária à saúde de 11 estados brasileiros. Realizou-se síntese de evidências, teste de campo e utilização nos cenários clínicos, de modo a adaptar o conteúdo, formato, linguagem e a aplicabilidade às necessidades do público-alvo nos anos de 2018 e 2019. As versões foram avaliadas de forma subsequente pelos participantes, sendo modificada a partir dos dados obtidos. RESULTADOS Foi elaborada uma ferramenta inédita no Brasil, com informações sobre os exames utilizados no rastreamento, comparação dos seus possíveis benefícios e malefícios e um infográfico numérico com as consequências dessa prática. Verificou-se utilidade da ferramenta para auxiliar na comunicação entre o médico e o homem no contexto da atenção primária à saúde, além de identificar a necessidade de maior discussão sobre o compartilhamento das decisões nos cenários clínicos. CONCLUSÃO A ferramenta foi avaliada como de fácil utilização, objetiva e com pouca interferência no tempo de consulta. É um material técnico-científico, produzido por meio de pesquisa, com a participação do seu principal público-alvo e que se encontra disponível gratuitamente para utilização nos cenários clínicos do Brasil.
Transcriptional Evaluation of the Ductus Arteriosus at the Single-Cell Level Uncovers a Requirement for Vim (Vimentin) for Complete Closure
Authors: Salvador Jocelynda , Hernandez Gloria E. , Ma Feiyang , Abrahamson Cyrus W. , Pellegrini Matteo , Goldman Robert , Ridge Karen M. , Iruela-Arispe M. Luisa
Published: April 2022

Objective:

Failure to close the ductus arteriosus, patent ductus arteriosus, accounts for 10% of all congenital heart defects. Despite significant advances in patent ductus arteriosus management, including pharmacological treatment targeting the prostaglandin pathway, a proportion of patients fail to respond and must undergo surgical intervention. Thus, further refinement of the cellular and molecular mechanisms that govern vascular remodeling of this vessel is required.

Methods:

We performed single-cell RNA-sequencing of the ductus arteriosus in mouse embryos at E18.5 (embryonic day 18.5), and P0.5 (postnatal day 0.5), and P5 to identify transcriptional alterations that might be associated with remodeling. We further confirmed our findings using transgenic mouse models coupled with immunohistochemistry analysis.

Results:

The intermediate filament vimentin emerged as a candidate that might contribute to closure of the ductus arteriosus. Indeed, mice with genetic deletion of vimentin fail to complete vascular remodeling of the ductus arteriosus. To seek mechanisms, we turned to the RNA-sequencing data that indicated changes in Jagged1 with similar profile to vimentin and pointed to potential links with Notch. In fact, Notch3 signaling was impaired in vimentin null mice and vimentin null mice phenocopies patent ductus arteriosus in Jagged1 endothelial and smooth muscle deleted mice.

Conclusions:

Through single-cell RNA-sequencing and by tracking closure of the ductus arteriosus in mice, we uncovered the unexpected contribution of vimentin in driving complete closure of the ductus arteriosus through a mechanism that includes deregulation of the Notch signaling pathway.
Blockade of TGF-β (Transforming Growth Factor Beta) Signaling by Deletion of
Tgfbr2
in Smooth Muscle Cells of 11-Month-Old Mice Alters Aortic Structure and Causes Vasomotor Dysfunction—Brief Report
Authors: Lee Chloe Y. , Angelov Stoyan N. , Zhu Jay , Bi Lianxiang , Sanford Nicole , Alp Yildirim Ilkay , Dichek David A.
Published: April 2022

Background:

To test the hypothesis that smooth muscle cell (SMC) TGF-β (transforming growth factor beta) signaling contributes to maintenance of aortic structure and function beyond the early postnatal period.

Methods:

We deleted the TBR2 (type 2 TGF-β receptor) in SMC of 11-month-old mice (genotype
Acta2
-CreER
T2+/0
Tgfbr2
f/f
, termed TBR2
SMΔ
) and compared their ascending aorta structure and vasomotor function to controls (
Acta2
-CreER
T20/0
Tgfbr2
f/f
, termed TBR2
f/f
).

Results:

We confirmed loss of aortic SMC TBR2 by immunoblotting. Four weeks after SMC TBR2 loss, TBR2
SMΔ
mice did not have aortic rupture, ulceration, dissection, dilation, or evidence of medial hemorrhage. However, aortic medial area of TBR2
SMΔ
mice was increased by 27% (0.14±0.01 versus 0.11±0.01 mm
2
;
P
=0.01) and medial thickness was increased by 23% (40±1.9 versus 33±1.3 μm;
P
=0.004) compared with littermate controls. Wire myography performed on ascending aortic rings showed hypercontractility of TBR2
SMΔ
aortas to phenylephrine (E
max
, 15.9±1.2 versus 10.8±0.7 mN;
P
=0.0003) and reduced relaxation and sensitivity to acetylcholine (E
max
, 64±14% versus 96±2%;
P
=0.001; −logEC
50
, 6.9±0.1 versus 7.7±0.1;
P
=0.0001). Neither maximal relaxation nor sensitivity to sodium nitroprusside differed (E
max
, 102±0.3% versus 101±0.3%; −logEC
50
, 8.0±0.04 versus 7.9±0.08;
P
>0.4 for both).

Conclusions:

Loss of TGF-β signaling in aortic SMC of 1-year-old mice does not cause early severe aortopathy or death; however, it causes mild structural and substantial physiological abnormalities. SMC TGF-β signaling plays an important role in maintaining aortic homeostasis in older mice. This role should be considered in the design of clinical studies that aim to prevent aortopathy by blocking SMC TGF-β signaling.
Engaging Families in Adult Cardiovascular Care: A Scientific Statement From the American Heart Association
Authors: Goldfarb Michael J. , Bechtel Christine , Capers Quinn , de Velasco Ann , Dodson John A. , Jackson Jamie L. , Kitko Lisa , Piña Ileana L. , Rayner‐Hartley Erin , Wenger Nanette K. , Gulati Martha ,   the American Heart Association Council on Clinical Cardiology; Council on Cardiovascular and Stroke Nursing; Council on Lifelong Congenital Heart Disease and Heart Health in the Young; Council on Cardiovascular Radiology and Intervention; Council on Hypertension; Council on the Kidney in Cardiovascular Disease; and Council on Lifestyle and Cardiometabolic Health
Published: April 2022

Family engagement empowers family members to become active partners in care delivery. Family members increasingly expect and wish to participate in care and be involved in the decision‐making process. The goal of engaging families in care is to improve the care experience to achieve better outcomes for both patients and family members. There is emerging evidence that engaging family members in care improves person‐ and family‐important outcomes. Engaging families in adult cardiovascular care involves a paradigm shift in the current organization and delivery of both acute and chronic cardiac care. Many cardiovascular health care professionals have limited awareness of the role and potential benefits of family engagement in care. Additionally, many fail to identify opportunities to engage family members. There is currently little guidance on family engagement in any aspect of cardiovascular care. The objective of this statement is to inform health care professionals and stakeholders about the importance of family engagement in cardiovascular care. This scientific statement will describe the rationale for engaging families in adult cardiovascular care, outline opportunities and challenges, highlight knowledge gaps, and provide suggestions to cardiovascular clinicians on how to integrate family members into the health care team.
Paul, Cochlear Implantation, and Biblical Interpretation: Expanding the Scope of Disability Hermeneutics
Authors: Carr Frederick David
Published: April 2022

Recent research on disability and the Bible has made distinctive contributions to the field of biblical studies. Most work in this area focuses on representations of disability in the Bible, biblical language related to disability, or biblical themes that can be used for theologies of disability. This article proposes that scholars broaden the scope of this research by drawing on a disability consciousness to interpret texts that do not ostensibly discuss disability or disability-related themes. As a case study, this essay examines Philippians 3:2–11 in light of contemporary debates about cochlear implantation, and it argues that discourse about cochlear implants can inform debates about the ethno-religious identities of Paul and the Philippians. In so doing, the interpretive exercise supports the larger, hermeneutical thesis that a disability consciousness can yield insights into biblical passages—and related scholarly interests—that do not explicitly concern disability or themes commonly related to disability.
From Vertical to Horizontal
Authors: Lim Young-ae
Published: April 2022

Seokguram Grotto is a structure unparalleled throughout East Asia. The round main chamber in particular is unique to Seokguram and without equal in Korea or China. Researchers thus far have attributed the design for Seokguram to foreign influences. However, the source of inspiration is more likely domestic, an adaptation of the Silla tunnel-type stone-chamber tombs of the seventh and eighth centuries. By rearranging the rectangular and circular components of the tunnel-type tombs from a vertical to horizontal layout, the structure of Seokguram gained structural stability and increased space for the accommodation of various sculptures of Buddhist figures. The resulting layout of Seokguram is a symbolic representation of the earthly or secular realm, the world of Buddha, and the transitional space in between.
Seeking Zion
Authors: Katzir Lindsay
Published: April 2022

This article looks at Grace Aguilar (1816–1847), a well-known Anglo-Jewish author, as a religious Zionist, and it analyzes Aguilar’s work in order to challenge three scholarly assumptions about the history of Zionism: first, that British Jews have never genuinely supported Zionism; second, that Zionism did not exist before Theodor Herzl, the founder of political Zionism; and third, that Jewish women rarely voiced Zionist ideas before the establishment of the State of Israel. Aguilar, an Anglo-Jewish woman writer who published during the mid-Victorian period, espoused orthodox views about the Jews’ restoration to Palestine. Aguilar’s belief in the biblical precept of Jewish nationhood was a precursor to the thought of later Zionists such as Herzl, as well as the convictions of religious Zionists such as Rav Kook. Her religious nationalism provides an important counterpoint to scholarly claims that Victorian Jews identified only as British, as no different than their Christian neighbors. Instead, Aguilar characterizes the Jews as a nation apart, a people bound together by an ancient religion with roots and a future in Palestine.
Making Sense of the Psalms
Authors: Vogel Henk , Klomp Mirella , Barnard Marcel
Published: April 2022

This article discusses the appropriation of psalms in contemporary Dutch and Flemish culture through their performances in ‘extra-ecclesial’ settings and the ways in which aesthetics and embodied experiences play a role in this appropriation. Drawing on postsecular theory, we describe how both religious and secular dimensions are manifest in the performance of psalms on the level of aesthetics. Our contribution is a detailed analysis of empirical research data regarding different sensory perceptions (bodily, auditory, visual, synaesthetic), which we have studied both in isolation and interrelation. We show that religious and secular dimensions become intertwined in the temporally and spatially organized stimulation of different senses. A balancing act takes place between synaesthetic immersion in a collective ritual, and a more distanced, unisensory involvement to maintain individual authenticity. In this balance, an immersive ritual experience can become fertile soil for interaction with the transcendent. We argue that a postsecular stance should entail the interrogation and contextualization of immanent/transcendent dichotomies.