bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Malaria and Associated Risk Factors among the Community of Mizan-Aman Town and Its Catchment Area in Southwest Ethiopia
Authors: Duguma Tadesse , Nuri Abdulrezak , Melaku Yayeh
Published: April 2022

Background. Ethiopia is a Sub-Saharan African country with a high annual malaria case count, owing to the majority of the country’s geography favoring vector rearing. As part of the country’s prevention-based health policy, substantial efforts have been made to control and prevent malaria transmission. The objective of this study was to determine the prevalence of malaria and the associated factors in the community of Mizan-Aman and its catchment. Materials and Methods. From September to October 2021, a community-based cross-sectional survey was undertaken among the communities of Mizan-Aman town and its catchment area in Southwest Ethiopia. A pretested structured questionnaire was used to collect sociodemographic data, as well as a capillary blood sample from each study participant. Epi-data manager (v4.0.2.101) was used to enter the data and analyzed by SPSS version 25.0. A statistical significance was set at a

P

value of <0.05. Result. The study comprised a total of 412 people, of which 87 (21.1%) tested positive for malaria parasites, with a greater prevalence reported among those aged 25 to 34 years (5.8%). Individuals who lived near stagnant water were more likely to become infected with the malaria parasite (

AOR
=
8.996

, 95% CI: 5.087-15.908) compared to those who lived further away, in warm climates, and those who did not use insecticide-treated bed nets were more susceptible to malaria parasite infection (

AOR
=
4.647

, 95% CI: 1.257-17.184) compared to those who did use ITN and With (

AOR
=
0.466

, 95% CI: 0.218-0.996 and

AOR
=
0.352

, 95% CI: 0.206-0.604); participants with a history of antimalarial medication appear to have a protective function against malaria infection, respectively. Conclusion. The overall malaria prevalence in this study was 87 (21.1%), demonstrating that malaria remains a significant concern to the populations in the study area, with Plasmodium falciparum accounting for the vast majority of cases.
Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances
Authors: Shambhu Shankar , Koundal Deepika , Das Prasenjit , Hoang Vinh Truong , Tran-Trung Kiet , Turabieh Hamza
Published: April 2022

Malaria comes under one of the dangerous diseases in many countries. It is the primary reason for most of the causalities across the world. It is presently rated as a significant cause of the high mortality rate worldwide compared with other diseases that can be reduced significantly by its earlier detection. Therefore, to facilitate the early detection/diagnosis of malaria to reduce the mortality rate, an automated computational method is required with a high accuracy rate. This study is a solid starting point for researchers who want to look into automated blood smear analysis to detect malaria. In this paper, a comprehensive review of different computer-assisted techniques has been outlined as follows: (i) acquisition of image dataset, (ii) preprocessing, (iii) segmentation of RBC, and (iv) feature extraction and selection, and (v) classification for the detection of malaria parasites using blood smear images. This study will be helpful for: (i) researchers can inspect and improve the existing computational methods for early diagnosis of malaria with a high accuracy rate that may further reduce the interobserver and intra-observer variations; (ii) microbiologists to take the second opinion from the automated computational methods for effective diagnosis of malaria; and (iii) finally, several issues remain addressed, and future work has also been discussed in this work.
Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller
Authors: Duan Jiazhen , Shi Ruxin , Liu Hongtao , Rong Hailong
Published: April 2022

Aiming at the problems of low efficiency, reliability, and safety of manual construction for demolition of old lines, a design method of an intelligent ropeway type line changing robot based on lifting force control and synovial film controller is proposed. First, the mechanical model of robot load and line sag is established, and the sag of the overhead line where the robot is located is used to calculate the jacking force that the jacking device needs to provide to the robot. Then, by introducing the radial basis function (RBF) neural network adaptive algorithm into the synovial controller, an adaptive sliding mode position control algorithm based on the RBF neural network is designed to achieve high-precision motion control of the robot in complex operating environments. Finally, based on the compactness, weight, and reliability of the robot, the optimal design is carried out from four aspects of topology, size, shape and morphology, and the design scheme of the robot for wire removal is proposed, and the robot is produced. The developed robot and the other three robots are compared and analyzed under the same conditions through simulation experiments. The results show that the maximum operating time, maximum climbing angle, and maximum traveling speed of the robot developed in this study are all optimal, which are 45 min, 10°, and 1 m/s respectively, and the performance is better than the other three comparison algorithms.
Development of Novel Antimicrobial Dental Composite Resin with Nano Cerium Oxide Fillers
Authors: Varghese Eldho Jijy , Sihivahanan Dhanasekaran , Venkatesh Kondas Vijay
Published: April 2022

Objectives. To assess the antibacterial efficacy of experimental dental composite resin with cerium oxide nanoparticles as fillers. Methods. The cerium oxide nanoparticles were prepared by the coprecipitation procedure. Synthesized 3wt% CeO2 nanoparticles were added to the composite resin as antibacterial filler. Experimental composite resin was manually prepared by adding ingredients. The resin matrix consisted of two mixed monomers, bisphenol A-glycidyl methacrylate and triethylene glycol dimethacrylate, diketone as the photo initiator, and N, N-dimethylaminoethyl methacrylate as a coinitiator. The antibacterial efficacy against Streptococcus mutans, Streptococcus mitis, Streptococcus aureus, and Lactobacillus spp. bacterial strains was tested using the microdilution method keeping commercially available 3M Filtek Z250 restorative composite as control. Results. The experimental dental composite demonstrated 99.503% efficacy against Streptococcus mutans, 99.441% efficacy against Streptococcus mitis, 99.416% efficacy against Streptococcus aureus, and 99.233% efficacy against Lactobacillus spp. Conclusion. Integrating cerium oxide nanoparticles as fillers into dental composite resin can be promising in terms of antibacterial activity, provided furthermore study has to be conducted to examine other properties. Clinical Significance. Previous studies attempted adding CeO2 nanoparticles into acrylic resins that showed improvement in mechanical properties, but literature is nil on the dental composite resin and cerium oxide nanoparticles. This study demonstrates the development of an experimental antibacterial dental composite resin that can resolve most of the problems related to secondary caries around dental composite restorations.
Application of Multimodal Fusion Technology in Image Analysis of Pretreatment Examination of Patients with Spinal Injury
Authors: Wu Hongliang , Chen Guocheng , Zhang Guibao , Dai Minghua
Published: April 2022

As one of the most common imaging screening techniques for spinal injuries, MRI is of great significance for the pretreatment examination of patients with spinal injuries. With rapid iterative update of imaging technology, imaging techniques such as diffusion weighted magnetic resonance imaging (DWI), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), and magnetic resonance spectroscopy are frequently used in the clinical diagnosis of spinal injuries. Multimodal medical image fusion technology can obtain richer lesion information by combining medical images in multiple modalities. Aiming at the two modalities of DCE-MRI and DWI images under MRI images of spinal injuries, by fusing the image data under the two modalities, more abundant lesion information can be obtained to diagnose spinal injuries. The research content includes the following: (1) A registration study based on DCE-MRI and DWI image data. To improve registration accuracy, a registration method is used, and VGG-16 network structure is selected as the basic registration network structure. An iterative VGG-16 network framework is proposed to realize the registration of DWI and DCE-MRI images. The experimental results show that the iterative VGG-16 network structure is more suitable for the registration of DWI and DCE-MRI image data. (2) Based on the fusion research of DCE-MRI and DWI image data. For the registered DCE-MRI and DWI images, this paper uses a fusion method combining feature level and decision level to classify spine images. The simple classifier decision tree, SVM, and KNN were used to predict the damage diagnosis classification of DCE-MRI and DWI images, respectively. By comparing and analyzing the classification results of the experiments, the performance of multimodal image fusion in the auxiliary diagnosis of spinal injuries was evaluated.
Spatial Multifractal and
b
Value Characteristics of Mine Earthquakes under High Tectonic Stress
Authors: Ji Hongguang , Chen Dongsheng , Su Xiaobo , Fu Zhen , Quan Daolu
Published: April 2022

Mining-induced earthquake is one of the common risk factors affecting the safety of mining engineering. In order to reveal the information characteristics of mine seismicity and predict the high-energy mine seismicity, based on the microseismic monitoring data of 250105 working face in Huating Coal Mine, the spatial multifractal and magnitude-frequency distribution relationship of mine seismicity activity are analyzed. It was found that under high tectonic stress, the spatial multifractal characteristics of mine seismicity are obvious, and the magnitude-frequency distribution satisfies the Gutenberg-Richter law. There is a positive linear correlation between the fractal dimension

D

2

and

b

value, and the spatial distribution of mine seismicity is correlated with the magnitude-frequency distribution. In terms of

D

∞

and

D

2

-

D

∞

, the seismic aggregation degree and fractal structure uniformity are discussed, respectively, and the parameter variation is related to rock burst events. The variations of

D

2

and

b

values are strongly correlated with the main earthquake. The descending gradient of

b

value and

D

2

is the largest in the region where the main shock occurred, and the

b

value and

D

2

take on lower values. The significant decrease of

b

value and

D

2

can be regarded as the precursor feature of the main shock.
An Innovative Approach of N-Soft Quotient Topological Space
Authors: Antony G. Kabin , Lellis Thivagar M. , Tamilarasan B. , Birhan Mequanint
Published: April 2022

In the many approaches to soft set theory, the theory of N-soft topological space is a key component of studying topology. The notions of soft mapping in N-soft topological space as well as a novel notion of N-soft continuous mapping, N-soft quotient mapping, and N-soft quotient topology are discussed in this article. We also look at some of its traits and outcomes. It will give the foundation for real-world applications in this subject.
Inhibition of Heat Shock Protein 90 Attenuates the Damage of Blood-Brain Barrier Integrity in Traumatic Brain Injury Mouse Model
Authors: Zhang Jia-ming , Jing Yao , Wang Kun , Jiao Jian-Tong , Xu Jin-yu , Shi Jing , Ji Dong-dong , Lu Shou-rong , Li Xiang-dong , Zhang Yun , Cao Xiao-dong
Published: April 2022

Heat shock protein 90 (HSP90) is widely found in brain tissue. HSP90 inhibition has been proven to have neuroprotective effects on ischemic strokes. In order to study the role of HSP90 in traumatic brain injury (TBI), we carried out the present study. A novel inhibitor of the HSP90 protein, 17-dimethylaminoethylamino-17-demethoxygeldanamycin (17-DA), has been investigated for its function on the blood-brain barrier (BBB) damage after traumatic brain injury (TBI) in mouse models. These C57BL/6 mice were used as a TBI model and received 17-DA (0.1 mg/kg/d, intraperitoneally) until the experiment ended. To find out whether 17-DA may protect against TBI in vitro, bEnd.3 cells belonging to mouse brain microvascular endothelium were used. The HSP90 protein expressions were raised after TBI at the pericontusional area, especially at 3 d. Our study suggested that 17-DA-treated mice improved the recovery ability of neurological deficits and decreased brain edema, Evans blue extravasation, and the loss of tight junction proteins (TJPs) post-TBI. 17-DA significantly promoted cell proliferation and alleviated apoptosis by inhibiting the generation of intracellular reactive oxygen species (ROS) to downregulate cleaved caspase-3, matrix metallopeptidase- (MMP-) 2, MMP-9, and P-P65 in bEnd.3 cells after the injury. As a result, we assumed that the HSP90 protein was activated post-TBI, and inhibition of HSP90 protein reduced the disruption of BBB and improved the neurobehavioral scores in a mouse model of TBI through the action of 17-DA, which inhibited ROS generation and regulated MMP-2, MMP-9, NF-κB, and caspase-associated pathways. Thus, blocking HSP90 protein may be a potential therapeutic strategy for TBI.
Analysis of Clinical Efficacy of Laparoendoscopic Single-Site Surgery for Uterine Fibroids
Authors: Zhu Wei , Mao Shiqin , Chen Yan , Kong Xiang
Published: April 2022

In order to determine the clinical efficacy of laparoendoscopic single-site surgery (LESS) for uterine fibroids (UFs), the study population comprises 65 patients who underwent hysteromyoma enucleation in our hospital from January 2020 to September 2021. Among them, 30 patients with conventional multiport laparoscopic myomectomy (MLS-M) are taken as the control group (CG), and the rest 35 patients with laparoendoscopic single-site myomectomy (LESS-M) are taken as the research group (RG). Perioperative indicators and incidence of complications are compared between groups. Measurements of inflammatory factors (IFs) (tumor necrosis factor (TNF)-α, interleukin (IL)-6, and C-reactive protein (CRP)) as well as ovarian function indices (follicle stimulating hormone (FSH), luteinizing hormone (LH), and estradiol (E2)) were carried out by using ELISA. Patients’ pain sensation, body image satisfaction, incision aesthetic satisfaction, and quality of life (QOL) are assessed using the Visual Analogue Scale (VAS), Body Image Scale (BIS), Cosmetic Score (CS), and SF-36, respectively. LESS-M is beneficial to patients' early recovery after operation, with little influence on ovarian function and high incision aesthetic satisfaction, which reserves clinical popularization.
The Impact of Traditional Chinese Medicine QingreHuoxue Treatment and the Combination of Methotrexate and Hydroxychloroquine on the Radiological Progression of Active Rheumatoid Arthritis: A 52-Week Follow-Up of a Randomized Controlled Clinical Study
Authors: Zhang Rouman , Tang Xiao-Po , Wang Jian , Liu Wei-Xiang , Liu Jian , Wang Yue , Liu Wei , Fang Yong-Fei , He Dong-Yi , Liu Ying , Gao Ming-Li , Wu Qing-Jun , Li Zhen-Bin , Chen Shi , Huang Qing-Chun , Xie Yan-Ming , Zhang Jun-Li , Zhou Cai-Yun , Ma Li , Wang Xin-Chang , Jiang Quan , Gong Xun
Published: April 2022

Traditional Chinese medicine (TCM) has been used successfully to treat rheumatoid arthritis (RA). QingreHuoxue treatment (QingreHuoxue decoction [QRHXD]/QingreHuoxue external preparation [QRHXEP]) is a Chinese medicine treatment for RA. To date, very few studies have compared the long-term effects of QRHXD with those of conventional disease-modifying antirheumatic drugs on RA disease activity and radiological progression. QRHXD delayed the radiological progression and showed long-term clinical efficacy of RA. In clinical experiments, the clinical evidence of delaying the radiological progression of RA patients was obtained. A portion of the patients who participated in the “Traditional Chinese Medicine QingreHuoxue Treatment vs. the Combination of Methotrexate and Hydroxychloroquine for Active Rheumatoid Arthritis” study were followed up for 52 weeks, and intention-to-treat (ITT) and compliance protocol (PP) analyses were used to collect and compare the clinical indicators and imaging data between baseline and week 52. Two radiologists who were blind to treatment scored the images independently. Of the 468 subjects, 141 completed the 52-week follow-up. There were no significant differences among the three groups: the traditional Chinese medicine comprehensive treatment group, the Western medicine treatment group, and the integrated traditional Chinese and Western medicine treatment group. There were no differences in the total Sharp score, joint space stenosis score, and joint erosion score at baseline or 52 weeks. In the comparison of the estimated annual radiographic progression (EARP) and the actual annual Sharp total score changes among the three groups, the actual changes were much lower than the EARP at baseline. The radiological progress in all three groups was well controlled. Results of the ITT and PP data sets showed that the disease activity score 28 level of the three groups at 52 weeks was significantly lower than that at baseline. During the 52-week treatment period, the clearance of heat and promotion of blood circulation controlled disease activity and delayed the radiological progress of active RA.
The Influence of Water‐Level Fluctuation on the Instability and Seepage Failure of Dump‐Fill Cofferdam
Authors: Hu Yunqing , Huang Jianyu , Tao Zhipeng , Zhu Junhua , Lv Qing , Qiao Jianwei , Cai Weibin
Published: April 2022

Due to the double disturbance effect of dredging and filling, there will be a problem with weir slope stability after the formation of a fill type saturated clay weir. In order to study the influence of water‐level fluctuation on the instability and seepage failure of the dump‐fill cofferdam, the saturated‐unsaturated seepage theory and strength reduction method are embedded into the finite element system such that the fluid‐solid coupling stability of the dump‐fill cofferdam is analyzed. The results show that the influence of water‐level fluctuation on the instability and seepage failure of the dump‐fill cofferdam can be revealed by the coupling analysis excellently. The variation of the saturation line of the cofferdam is consistent with the variation of water‐level rising, but the change response of the saturation line of the cofferdam has a lag property during the water‐level decline process in that the water level changes faster. The maximum displacement of the cofferdam can be approximated as two stages, namely, the stable growth stage and the accelerated growth stage (slip initiation), in which the influence of the water‐level fluctuation on the displacement of stable growth stage is more obvious. Based on the fluid‐solid coupling analysis, the most dangerous sliding surface of the cofferdam is located at the position of the horse path, with a critical strength reduction coefficient of approximately 1.475. The possibility of seepage failure of the cofferdam will be increased if the water level exceeds the height of the impermeable wall.
Cross-Border Supply Chain System Constructed by Complex Computer Blockchain for International Cooperation
Authors: Deng Xiaoguang , Ouyang Yuxuan
Published: April 2022

The rapid development of China’s local e-commerce and the continuous improvement of its business model have not only pushed the country to the forefront of the globe but also opened up the unprecedented potential for China’s cross-border e-commerce. Therefore, it is imperative to build a balanced and sustainable cross-border e-commerce system, and cross-border e-commerce on the Silk Road has become a new highlight of China’s e-commerce development. This study proposes a cross-border supply chain model based on the complex computer blockchain for international cooperation scenarios, contrasts and analyzes decision making in two cross-border supply chain scenarios with and without blockchain implementation, and investigates the sufficient conditions for blockchain implementation in the cross-border supply chain from the perspective of various value objectives. The analysis reveals that the cross-border supply chain has sufficient incentive to implement blockchain when the value gain generated by implementing blockchain is high or the value gain is low but the potential market size weakening factor of cross-border products is greater than a certain degree. It demonstrates that the link between cross-border product price elasticity, manufacturer cross-border effort cost, and customer cross-border preference degree would impact the circumstances for adopting blockchain in cross-border supply chains. The model also lays out a plan for the government to improve cross-border e-commerce logistics, strengthen oversight, and create a regional financial service network system to reduce credit risk.4
Cytogenomic Characterization of Giant Ring or Rod Marker Chromosome in Four Cases of Well-Differentiated and Dedifferentiated Liposarcoma
Authors: Chai Hongyan , Xu Fang , DiAdamo Autumn , Grommisch Brittany , Mao Huanzhi , Li Peining
Published: April 2022

Chromosome and array comparative genomic hybridization (aCGH) analyses were performed on two cases of well-differentiated liposarcoma (WDLPS) and two cases of dedifferentiated liposarcoma (DDLPS). The results revealed the characteristic giant ring (GR) or giant rod marker (GRM) chromosomes in all four cases and amplification of numerous somatic copy number alterations (SCNAs) involving a core segment of 12q14.1q15 and other chromosomal regions in three cases. The levels of amplification for oncogenes OS9, CDK4, HMGA2, NUP107, MDM2, YEATS4, and FRS2 at the core segment or other SCNAs should be characterized to facilitate pathologic correlation and prognostic prediction. Further studies for the initial cellular crisis event affecting chromosome intermingling regions for cell-type specific gene regulation may reveal the underlying mutagenesis mechanism for GR and GRM in WDLPS and DDLPS.
Research on the Evaluation Model of the Overall Benefit of the Nonlinear Rural Pension Based on Particle Swarm Optimization Algorithm: From the Perspective of Migrant Workers Returning
Authors: Wang Yong , Li Fang , Dou Jia-Li
Published: April 2022

In this paper, based on the existing research, the rural talent supply situation is analyzed. Rural talent relative to the existing rural labor force has a higher human capital of the labor force. We also discuss the part of moving workers who can be considered as talents. Financial dimension is mostly through literature collection and statistical data finding and computational calculation, according to the results of communicate indicators, to reflect its performance level. The performance analysis of organizational management dimension and institutional development dimension mainly focuses on qualitative analysis and comparative analysis, and then we summarize and evaluate the performance status of Shanghai basic endowment insurance system for urban and rural residents. Therefore, all countries in the world are constantly exploring and trying to improve the performance management model of their social security institutions. Through the evaluation and analysis of the above four dimensions, it can be found that the overall performance level of urban and rural residential insurance in Shanghai is relatively high, but there are still some problems in the operation process.
Analysis of Different Keying Modes and Brain Sound Image Establishment Mode in Piano Playing
Authors: Huang Jingle
Published: April 2022

The piano is known as the king of musical instruments for its rich expressiveness. Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establishment modes in piano performance. In this paper, we first propose a fuzzy mathematical proximity comparison method and an audio feature extraction method. Most of the audio features are derived from speech recognition tasks. They can reduce the original waveform sampling signal, thereby accelerating the machine’s understanding of the semantic meaning of audio. Using comparative analysis method, fuzzy mathematical proximity comparison method, and audio feature extraction as research methods, a model analysis research model based on different key touch methods in piano playing was established, and the relationship between piano key touch and brain sound image was studied. The experimental results of this paper show that after using the research method in this paper, the error rate of the data is controlled within 5%. Compared with previous research methods, the error rate is lower and has certain practical value.
A Content Dissemination Technique Based on Priority to Improve Quality of Service of Vehicular Ad Hoc Networks
Authors: Ayaz Muhammad , Iqbal Jawaid , Adnan Muhammad , Hussain Saddam S. , Alabrah Amerah , Amin Noor Ul , Al-Hadhrami Suheer , Mizanur Rahman Sk. Md.
Published: April 2022

Due to the ability of Vehicular Ad Hoc Networks (VANETs) to improve mobility and create innovative services, they have received increasing attention from both industry and academia fields. Named Data Networking (NDN) is a network service that has been developed for Internet’s host-based packet delivery model. In VANETs, NDN is used as an emerging architecture for improving the quality of service (QoS) of the networks connected cloud and mobile Internet of Things (IoT). We can achieve this improvement using an efficient content dissemination and forwarding technique that depends on name-based routing, in-network content caching, and interest-based content retrieval. The large amount of data processed by several IoT sensors or nodes of VANETs makes content prioritizing and forwarding mechanism is crucial, especially when many end-users need common content simultaneously. Therefore, in this paper, we propose a content dissemination technique based on priority for boosting the service requirements of NDN-based cloud and mobile IoT nodes in the VANETs. The approach prioritizes the data flow of traffic into four classes: urgent, emergency, least, and average using a novel constrained location and deadline method, called New method employing Deadline Distance and Size of Data (NDDS). The highest priority is assigned to the data traffic with the emergency class, then urgent, average, and least class. To evaluate this proposed technique, a numerical simulation experiment is conducted by using the CloudSim toolkit. The simulation results demonstrate that the emergency data flow has minimum processing time, compared to the average, urgent, and least data flow, which can significantly enhance the QoS of NDN protocol-based Ad Hoc networks.
Agent‐Based Modeling of a Multiagent Multilayer Endogenous Financial Network and Numerical Simulations
Authors: Li Zhinan , Liu Xiaoyuan
Published: April 2022

Based on a realistic correlated behavior mechanism and a connected balance sheet relationship among firms, banks, households, and the government, we construct a multiagent multilayer endogenous financial network that includes an interbank network, an investment network, a deposit network, a business credit network, and a loan network. During the construction process, behaviors are endogenized such that an endogenous financial network is constructed. The simulation results show that the interbank network, the investment network, and the business credit network all obey the power‐law distribution; the deposit network and the loan network exhibit a tendency for large banks to have larger degree distributions and small banks to have smaller degree distributions.
Shaking Table Test on Seismic Response of Tunnel-Soil Surface Structure System considering Soil-Structure Interaction
Authors: Li Yantao , Tian Ye , Zong Jinhui
Published: April 2022

With the increasing number of underground structures traversing the surface structure, the surface and underground structures interact with each other during earthquakes, thus affecting the seismic response of the interaction system. Based on this idea, the dynamic interaction system of a tunnel-soil-surface structure is designed. The seismic responses such as acceleration, strain, and interlayer displacement angle are analyzed, and the vibration characteristics and laws of the interaction system under different seismic loads are studied through the shaking table test. The results show that the type of seismic wave has a significant impact on the seismic response of the system, in which the dynamic response of the surface structure and soil is more sensitive to the seismic wave with rich low-frequency components. The acceleration response of soil near the tunnel-surface structure area is stronger than that of soil far away from the interaction area. During earthquakes, the maximum strain of the deep tunnel appears in the region of 45° between the two sides of the lining and the vertical symmetry axis, whereas the maximum strain of the shallow tunnel close to the surface structure is different from that of the deep tunnel. For the surface structure, with the input peak acceleration increasing, the weak layer of the surface structure moves down, and the interlayer displacement angle of the middle and lower layers is significantly larger. The research results have certain reference significance for exploring the seismic response law of a tunnel-soil-surface structure interaction system.
Examine the Prediction Error of Ride-Hailing Travel Demands with Various Ignored Sparse Demand Effects
Authors: Chen Zhiju , Liu Kai , Feng Tao
Published: April 2022

The accurate short-term travel demand predictions of ride-hailing orders can promote the optimal dispatching of vehicles in space and time, which is the crucial issue to achieve sustainable development of such dynamic demand-responsive service. The sparse demands are always ignored in the previous models, and the uncertainties in the spatiotemporal distribution of the predictions induced by setting subjective thresholds are rarely explored. This paper attempts to fill this gap and examine the spatiotemporal sparsity effect on ride-hailing travel demand prediction by using Didi Chuxing order data recorded in Chengdu, China. To obtain the spatiotemporal characteristics of the travel demand, three hexagon-based deep learning models (H-CNN-LSTM, H-CNN-GRU, and H-ConvLSTM) are compared by setting various threshold values. The results show that the H-ConvLSTM model has better prediction performance than the others due to its ability to simultaneously capture spatiotemporal features, especially in areas with a high proportion of sparse demands. We found that increasing the minimum demand threshold to delete more sparse data improves the overall prediction accuracy to a certain extent, but the spatiotemporal coverage of the data is also significantly reduced. Results of this study could guide traffic operations in providing better travel services for different regions.
Analysis of Factors Related to Spiritual Psychology and Quality of Life in Patients with Inflammatory Bowel Disease Based on Artificial Intelligence IBD Nursing Technology
Authors: Bao Shizhen , Liu Wenjia , liu Li , Jiang Guifen , Chen Huan
Published: April 2022

To investigate the characteristics of psychological symptoms in inflammatory bowel disease (IBD), to study the relationship between psychological symptoms and quality of life, and to provide some theoretical basis for the corresponding psychological treatment of IBD patients with psychiatric abnormalities. With the development of artificial intelligence (AI) and its gradual application to the medical field, it has brought new ideas to the medical development, and its research and application in IBD, including ulcerative colitis (UC) and Crohn’s disease (CD), is increasing. Machine learning is used to select reasonable models and methods to help the prediction, diagnosis, treatment, and prognosis of IBD. In this study, we improved on the classical unidirectional LSTM model by adding backward and forward LSTM layers, designed a bidirectional LSTM model to improve the shortcomings of unidirectional LSTM with insufficient dependence on the posterior, introduced the contribution rate α to adjust the weight matrix of the forward LSTM layer and the backward LSTM layer, and experimentally verified the correctness and superiority of the proposed model. A total of 159 patients with IBD and 89 healthy people were collected and psychologically assessed using the general status questionnaire, the 90-item symptom checklist (SCL-90). Patients with IBD are prone to a combination of obsessive-compulsive, interpersonal, depressive, hostile, and other abnormal psychological symptoms, and their quality of life is significantly reduced; quality of life is mainly affected by disease condition, depression, interpersonal sensitivity, and paranoia, and patients in the active stage of the disease with heavy symptoms of depression, paranoia, and interpersonal sensitivity have low quality of life.
RANKL Impairs the TLR4 Pathway by Increasing TRAF6 and RANK Interaction in Macrophages
Authors: Mota Ryerson Fonseca , Cavalcanti de Araújo Paulo Henrique , Cezine Maria Eduarda Ramos , Matsuo Flávia Sayuri , Metzner Rodrigo Jair Morandi , Oliveira de Biagi Junior Carlos Alberto , Peronni Kamila Chagas , Hayashi Hiroki , Shimamura Munehisa , Nakagami Hironori , Osako Mariana Kiomy
Published: April 2022

High serum levels of osteoprotegerin (OPG) are found in patients with obesity, type 2 diabetes, sepsis, or septic shock and are associated with a high mortality rate in stroke. The primary known function of OPG is to bind to the receptor activator of NF‐κB ligand (RANKL), and by doing so, it inhibits the binding between RANKL and its receptor (RANK). TLR4 signaling in macrophages involves TRAF6 recruitment and contributes to low‐grade chronic inflammation in adipose tissue. LPS is a classical activator of the TLR4 pathway and induces the expression of inflammatory cytokines in macrophages. We have previously observed that in the presence of RANKL, there is no LPS‐induced activation of TLR4 in macrophages. In this study, we investigated the crosstalk between RANK and TLR4 pathways in macrophages stimulated with both RANKL and LPS to unveil the role of OPG in inflammatory processes. We found that RANKL inhibits TLR4 activation by binding to RANK, promoting the binding between TRAF6 and RANK, lowering TLR4 activation and the expression of proinflammatory mediators. Furthermore, high OPG levels aggravate inflammation by inhibiting RANKL. Our findings elect RANKL as a candidate for drug development as a way to mitigate the impact of obesity‐induced inflammation in patients.
Teaching with Technology during COVID-19 Pandemic: An Interview Study with Teachers in Indonesia
Authors: Rahayu Sri , Rahmadani Elfira , Syafitri Ely , Prasetyoningsih Luluk Sri Agus , Ubaidillah M. Faruq , Tavakoli Mona
Published: April 2022

This paper reports on an interview study with eight secondary school teachers in Indonesia regarding their experiences of teaching with technology during the COVID-19 pandemic. Employing semistructured interview questions and geared under a qualitative research approach, the study probes explicitly into (1) the availability of technology access at home, (2) teachers’ difficulties in teaching online, (3) teachers’ ability to adapt during online teaching, and (4) teachers’ experiences of teaching with technology. Findings from the study suggest insights into the impact of forced changes in teaching that could have implications for the professionalization of teacher education in terms of digitalization. The interview analysis informs that the participating teachers negotiated efforts in online teaching during the COVID-19 pandemic using technology vis a vis with the challenges of an ever-changing era. Teachers were baffled with explaining lessons in details during the online teaching and knowing which students have understood or not. The study reveals that learning is mainly dependent on the Internet connection as many teachers suddenly lose their connection when they are teaching.
Serum Level of CEACAM1 in Patients with Nonsmall Cell Lung Cancer and Its Clinical Significance in Cancer Tissue
Authors: Liu Wenjun
Published: April 2022

Objective. To analyze the expression of CEACAM1 in serum of patients with nonsmall cell lung cancer (NSCLC) and to explore the correlation and clinical significance between the expression of CEACAM1 and pathological parameters of NSCLC tissue. Methods. A total of 100 patients with NSCLC who underwent tumor resection were screened. Another 100 healthy patients in physical examination department were selected as control group. Venous blood and cancer tissue samples were collected. The expression of CEACAM1, TGF-β, VEGF-A, and IL-8 was detected. Results. The results of various indicators in the lung cancer group were much higher than those in the healthy group; CEACAM1 was significantly positively correlated with TGF-β expression. The later the clinical stage and the higher the degree of differentiation of cancer tissue specimens, the more the expression of CEACAM1 in serum samples. Conclusions. The expression level of CEACAM1 in the serum of NSCLC patients is strongly correlated with TGF-β, VEGF-A, and IL-8, indicating that serum CEACAM1 and TGF-β levels can predict the occurrence, progression, and prognosis of lung cancer and provide a target for future targeted therapy of lung cancer.
Multimedia Image Data Analysis Based on KNN Algorithm
Authors: Li Runya , Li Shenglian
Published: April 2022

In order to improve the authenticity of multispectral remote sensing image data analysis, the KNN algorithm and hyperspectral remote sensing technology are used to organically combine advanced multimedia technology with spectral technology to subdivide the spectrum. Different classification methods are used to classify CHRIS 0°, and the results are analyzed and compared: SVM classification accuracy is the highest 72 8448%, Kappa coefficient is 0.6770, and SVM is used to classify CHRIS images from five angles, and the results are compared and analyzed: the classification accuracy is from high to low, and the order is FZA = 0 > FZA = −36 > FZA = −55 > FZA = 36 > FZA = 55; SVM is used to classify the multiangle combined image, and the result is compared with the CHRIS 0° result: the overall classification accuracy of angle-combined image types is lower than that of single-angle images; the SVM is used to classify the band-combined image, and the result is compared with CHRIS 0°: the overall classification accuracy of the band combination image forest type is very low, and the effect is not as good as the combining multiangle image classification results. It is verified that if CHRIS multiangle hyper-spectral data are used for classification, the SVM method should be used to classify spectral remote sensing image data with the best effect.
Polysaccharide-Rich Fractions from Ganoderma resinaceum (Ganodermataceae) as Chemopreventive Agents in N-Diethylnitrosamine-Induced Hepatocellular Carcinoma in Wistar Rats
Authors: Sipping Marius Trésor Kemegne , Mediesse Francine Kengne , Kenmogne Larissa V. , Kanemoto Judith Emery Ngomoyogoli , Njamen Dieudonné , Boudjeko Thaddée
Published: April 2022

Hepatocellular carcinoma (HCC) is one of the most common and lethal diseases worldwide. Its treatment remains ineffective and the prognosis remains severe, thus favoring the emergence of a preventive approach. Mushroom-derived polysaccharides offer great opportunities because of their less toxicity and bioactivities. The present study aimed to investigate the chemopreventive effects of water-soluble polysaccharides from Ganoderma resinaceum on HCC. Two G. resinaceum polysaccharide-rich fractions (GRP I and GRP II) were obtained following hot water and alcohol precipitation. Their proteins, phenol compounds, and total neutral sugar content were assayed. The in vitro antiproliferative effect was assessed in MDA-MB 231, Hela, and HepG2 using the MTT assay. Further, for the in vivo study, seven groups of nine rats each received N-diethylnitrosamine (100 mg/kg BW), vehicle (NaCl 0.9%), doxorubicin (10 mg/kg BW), or G. resinaceum polysaccharides (125 and 250 mg/kg BW). Liver cancer initiation and progression was assessed by evaluating histomorphology of liver section, hepatic injury markers, hematology, cytokines/chemokines levels, and stress oxidative markers. GRP II presented higher protein and sugar and lower phenol compound content than GRP I. GRP exhibited CC50 of 340 and 261.7 in HepG2 cells after 48 h. Moreover, GRP I and GRP II (125 and 250 mg/kg) prevented the alteration of the histoarchitecture of the liver induced by the DEN. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), alpha-fetoprotein (AFP), proinflammatory cytokines (G-CSF, IFNγ, and TNFα), and chemokines (eotaxin and fractalkine) levels were significantly decreased in the GRP I- and GRP II-treated groups, while anti-inflammatory cytokines (IL-10 and IL-12p70) levels were increased. The antioxidant defense was also stimulated by reducing malondialdehyde (MDA) and nitric oxide (NO2) levels, increasing catalase (CAT) and superoxide dismutase (SOD) activities, and reducing glutathione (GSH) levels. Our results indicate that GRP I exhibits chemopreventive effects by inhibiting cell proliferation and restoring liver architecture, antioxidant enzymes, and cytokines/chemokines balance.
TiO2 Nanocoatings with Controllable Crystal Type and Nanoscale Topography on Zirconia Implants to Accelerate Bone Formation
Authors: Li Nan , Liu Zhichao , Liu Guanqi , Wang Zhi , Guo Xianwei , Guo Chuanbin , Han Jianmin
Published: April 2022

In dentistry, zirconia implants have emerged as a promising alternative for replacing missing teeth due to their superior aesthetic performance and chemical stability. To improve the osseointegration of zirconia implants, modifying their surface with hierarchical micro/nanotopography and bioactive chemical composition are two effective ways. In this work, a microscale topography was prepared on a zirconia surface using hydrofluoric acid etching, and then a 50 nm TiO2 nanocoating was deposited via atomic layer deposition (ALD). Subsequently, an annealing treatment was used to transform the TiO2 from amorphous to anatase and simultaneously generate nanoscale topography. Various investigations into the coating surface morphology, topography, wettability, and chemical composition were carried out using scanning electron microscopy, white light interferometry, contact‐angle measurement, X‐ray diffraction, and X‐ray photoelectron spectroscopy. In addition, in vitro cytocompatibility and osteogenic potential performance of the coatings were evaluated by human bone marrow mesenchymal stem cells (hBMSCs), and in vivo osseointegration performance was assessed in a rat femoral condyle model. Moreover, the possible mechanism was also investigated. The deposition of TiO2 film with/without annealing treatment did not alter the microscale roughness of the zirconia surface, whereas the nanotopography changed significantly after annealing. The in vitro studies revealed that the anatase TiO2 coating with regular wavelike nanostructure could promote the adhesion and proliferation of osteoblasts and further improve the osteogenic potential in vitro and osseointegration in vivo. These positive effects may be caused by nanoscale topography via the canonical Wnt/β‐catenin pathway. The results suggest that using ALD in combination with annealing treatment to fabricate a nanotopographic TiO2 coating is a promising way to improve the osteogenic properties of zirconia implants.
Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence
Authors: Dong Shengtao , Li Jie , Zhao Haozong , Zheng Yuanyuan , Chen Yaoning , Shen Junxi , Yang Hua , Zhu Jieyang
Published: April 2022

Background. Symptomatic rotator cuff calcific tendinitis (RCCT) is a common shoulder disorder, and approaches combined with artificial intelligence greatly facilitate the development of clinical practice. Current scarce knowledge of the onset suggests that clinicians may need to explore this disease thoroughly. Methods. Clinical data were retrospectively collected from subjects diagnosed with RCCT at our institution within the period 2008 to 2020. A standardized questionnaire related to shoulder symptoms was completed in all cases, and standardized radiographs of both shoulders were extracted using a human-computer interactive electronic medical system (EMS) to clarify the clinical diagnosis of symptomatic RCCT. Based on the exclusion of asymptomatic subjects, risk factors in the baseline characteristics significantly associated with the onset of symptomatic RCCT were assessed via stepwise logistic regression analysis. Results. Of the 1,967 consecutive subjects referred to our academic institution for shoulder discomfort, 237 were diagnosed with symptomatic RCCT (12.05%). The proportion of women and the prevalence of clinical comorbidities were significantly higher in the RCCT cohort than those in the non-RCCT cohort. Stepwise logistic regression analysis confirmed that female gender, hyperlipidemia, diabetes mellitus, and hypothyroidism were independent risk factors for the entire cohort. Stratified by gender, the study found a partial overlap of risk factors contributing to morbidity in men and women. Diagnosis of hyperlipidemia, diabetes mellitus, and hypothyroidism in male cases and diabetes mellitus in female cases were significantly associated with symptomatic RCCT. Conclusion. Independent predictors of symptomatic RCCT are female, hyperlipidemia, diabetes mellitus, and hypothyroidism. Men diagnosed with hyperlipidemia, diabetes mellitus, and hypothyroidism are at high risk for symptomatic RCCT, while more medical attention is required for women with diabetes mellitus. Artificial intelligence offers pioneering innovations in the diagnosis and treatment of musculoskeletal disorders, and careful assessment through individualized risk stratification can help predict onset and targeted early stage treatment.
Bugis and Arabic Morphology: A Contrastive Analysis
Authors: Kasim Amrah , Nawas Kamaluddin Abu , Tahir Saidna Zulfiqar Bin , Yusriadi Yusriadi , Gheisari Asma
Published: April 2022

This study is aimed at (1) describing the process of word formation using al-ziyaadah and affixation in Bugis and Arabic, (2) revealing the meaning of al-ziyaadah and affixation in forming a word in Bugis and Arabic, and (3) analyzing the similarities and differences in substances produced by al-ziyaadah and affixations in Bugis and Arabic. The research applied the library research using a linguistic approach. The primary data was collected and identified through a textbook; then, the types of al-ziyaadah and the affixes in both languages were analyzed. The word forms that adhere to and have an affix were compared, and the final step is to make conclusions based on comparisons and explore some similarities and differences. This study results indicated that the process of word formation in Arabic through al-ziyaadah, namely, al-sawaabiq, al-hasyw, al-lawaahiq, and al-muzdawijah. Meanwhile, in the Bugis language, the process of word formation is through affixation. The types of affixes in the Buginese language are prefixes, infixes, suffixes, confixes, and affixes. The word formation process with al-ziyaadah and affixation is the same as al-sawaabiq and prefixes, al-hasyw and infix, al-lawaahiq and suffixes, and al-muzdawijah and confixes. Meanwhile, the combination of affixes only exists in the Buginese language. The formation of words through al-ziyaadah in Arabic and affixation in Bugis contain similarities and differences. The overall meaning produced by al-ziyaadah and affixation is ninety-eight meanings, al-ziyaadah generates thirty-six meanings, and affixations generate sixty-two meanings. This research could be a valuable reference for further researchers who want to study languages and prevent regional languages extinction in the modern era.