bluuebunny/crossref_metadata_2025 huggingface dataset:
Observation and Nursing of Adverse Reactions in Severe Patients with Enhanced MRI
Authors: Dai Yehua , Peng Changneng , Li Pan
Published: March 2022

In order to explore the observation and nursing of adverse reactions in severe patients with enhanced magnetic resonance imaging, a family nursing service model was proposed in patients with enhanced magnetic resonance imaging. 150 patients who underwent enhanced magnetic resonance imaging in a hospital were selected as the research objects. The patients were divided into two groups by random number table method. 75 patients in the control group received routine nursing intervention and 75 patients in the observation group received family nursing service intervention. The anxiety score, depression score, examination time, one-time success rate, comfort score, incidence of adverse reactions, excellent image quality rate and nursing satisfaction were compared between the two groups. The results showed that the anxiety score and depression score of the observation group were lower than those of the control group (P < 0.05), the examination time of the observation group was significantly shorter than that of the control group (P < 0.05), and the comfort score and one-time success rate of the observation group were significantly higher than those of the control group (P < 0.05). The incidence of adverse reactions was significantly lower than that in the control group (P < 0.05), the excellent and good image quality rate (95.00%) and nursing satisfaction (97.22%) were significantly higher than those in the control group (83.00%, 86.56%). This shows that the application effect of family nursing service mode in magnetic resonance enhanced scanning is remarkable. Therefore, the use of family care mode in MRI patient examination can effectively reduce patients' anxiety and depression scores, shorten examination time, reduce adverse reactions, improve the success rate of one-time examination, improve patients' comfort during examination and patients' evaluation of nursing services. The effect is ideal and worthy of clinical research and promotion.
Stance Detection Based on User Feature Fusion
Authors: Huang Weidong , Wang Yuan , Yang Jinyuan , Xu Yijun
Published: March 2022

Rapid development of the Internet has contributed to the widespread adoption of social network platforms. Network media plays an important role in the process of public opinion dissemination and bears significant social responsibility. Public opinion mining is of great significance for online media to improve the quality of content provision and enhance media credibility. How to make full use of user-generated content is the key to improving the accuracy of position detection tasks. In this paper, we proposed a stance detection model based on user feature fusion by using comments of netizens in false news events on Weibo as research content. The method of feature fusion is adopted to integrate vectors including user sentiment, cognitive features, and text feature at the feature layer for model training and position prediction. The model is evaluated on a dataset of related microblog comments in false news. The result shows that our proposed method has a certain improvement in the effect of stance detection.
Tournament Selected Glowworm Swarm Optimization Based Measurement of Selective Harmonic Elimination in Multilevel Inverter for Enhancing Output Voltage and Current
Authors: Chandran Udayakumar , Kumarasamy Sathiyasekar , Samikannu Ravi , M. P. E. Rajamani , Krishnamoorthy Vinoth , Murugesan Srinivasan
Published: March 2022

In modern days Multi Level Inverters (MLIs) in the power industry receive a large interest. The MLIs with multilevel structures produces higher-power, higher-voltage inverters. Selective Harmonic Elimination (SHE) has become a popular one. It has been utilized widely studied during the past several decades for multilevel inverters as it has many merits like lesser switching losses and lesser Total Harmonic Distortion (THD). However, many researchers have failed to reduce the selective harmonic elimination time consumption and improve efficiency. A novel Tournament Selected Glowworm Swarm Optimization-Based Selective Harmonic Elimination (TSGWSO-SHE) approach is proposed in this paper for addressing these problems. The major aim of the TSGWSO-SHE approach is selecting optimal switching angles for removing the lower order harmonics. In the TSGWSO-SHE technique, initially, multilevel-inverters are created, and the modulation index is measured. Based on the modulation index, Switching Angles (SAs) are determined. Then several switching angles are initialized randomly. The objective function is determined for every switching angle. Using it detects and chooses the neighbouring switching angle with higher brightness by tournament selection and move to it. Lastly, the switching angle updates its position and finds the optimal switching angle. In this way, an optimal SA is selected during the process of selective harmonic eradication in MLI with higher efficiency and minimal time consumption. The efficiency of TSGWSO-SHE technique is simulated using parameters such as time of SHE, SHE efficiency and THD. Results prove that the proposed TSGWSO-SHE technique provides better SHE performance as compared to the existing studies. Experimental results demonstrate that the TSGWSO-SHE technique reduces the THD and SHE time by 46% and 33%, and the efficiency of selective harmonic elimination is increased by 13% compared to existing methods.
Paclitaxel Resistance Modulated by the Interaction between TRPS1 and AF178030.2 in Triple-Negative Breast Cancer
Authors: Zhao Tao , Zhang Tingrong , Zhang Yao , Zhou Bin , Lu Xiangdong
Published: March 2022

Paclitaxel is a chemotherapeutic agent that acts as an inhibitor of cellular mitosis and has been widely used in the treatment of triple-negative breast cancer (TNBC). However, paclitaxel resistance is one of the major reasons that contribute to the high failure rates of chemotherapy and the relapse of TNBC. Accumulating studies have demonstrated that long noncoding RNA (lncRNA) plays a role in the paclitaxel resistance and positively correlated with progression and metastasis of breast cancers. In the present study, microarray expression profile analysis of lncRNA was performed between paclitaxel-resistant TNBC cell line MDA-MB-231 and their parental cells. After verification with quantitative PCR, we identified that AF178030.2, an orphan lncRNA, was significantly upregulated in paclitaxel-resistant TNBC cells. Overexpression of AF178030.2 greatly attenuated the sensitivity of TNBC to paclitaxel, whereas knockdown of AF178030.2 enhanced the sensitivity of TNBC cells to paclitaxel. Furthermore, bioinformatic analysis and RNA binding protein immunoprecipitation assay reveal that AF178030.2 can directly bind with trichorhinophalangeal syndrome-1 (TRPS1), an oncogene in breast cancer, and downregulate its expression in paclitaxel-resistant TNBC cells. TRPS1 overexpression effectively increased the sensitivity of paclitaxel-resistant TNBC cells to paclitaxel. Taking together, high AF178030.2 expression contributed to paclitaxel resistance in TNBC through TRPS1 and poor clinical outcomes, which may provide a new treatment strategy for paclitaxel-resistant TNBC patients.
Research on the Design of VR Tourism Service System Based on Deep Learning and Emotional Experience
Authors: Sui Qiao , Sui Li , Dong Zhenzhen , Lu Kai
Published: March 2022

VR tourism has become an important part of mass tourism. With the advent of the “VR +” era and changes in public consumption habits, tourism must integrate VR, AR and other new technological means of high-quality development and innovative transformation and upgrading. Firstly, the concept of VR + tourism is clarified, and then the biggest problem in the current tourism development is the lack of application of new technologies and the lack of professional talents for local needs. For tourism enterprises, service providers, tourists, service facilities and scenarios, and service processes are all key elements in the implementation of emotional experiences. Possible elements of emotional experience in tourism services include designing attractive tourism experience themes, enhancing the experience value of tourism services, displaying experiential tourism tangibles, creating an atmosphere for interactive tourism experiences, and attaching importance to sensory stimulation for tourists.
Improved PBFT Algorithm Based on Vague Sets
Authors: Xu Guangxia , Wang Yishuai
Published: March 2022

The traditional PBFT consensus algorithm has several limitations in the consortium blockchain environment, such as unclear selection of primary node, excessive communication times, etc. To solve these limitations, an improved consensus algorithm VS-PBFT based on vague sets was proposed. VS-PBFT has three phases: node partition, primary node selection, and global consensus. Firstly, the nodes of the whole network are partitioned using the consistent hashing-like consensus algorithm, and then the local primary node is selected by the primary node selection algorithm in each partition. The local primary nodes run the four-phase PBFT consensus algorithm to complete the global consensus. The analysis of the VS-PBFT consistency algorithm shows that the algorithm can improve the fault-tolerant rate and reduce communication complexity, and the algorithm is dynamic; that is, node can join and quit adaptively.
Cytotoxicity against Human Hepatocellular Carcinoma (HepG2) Cells and Anti-Oxidant Activity of Selected Endemic or Medicinal Plants in Sri Lanka
Authors: Thusyanthan Jeyaraj , Wickramaratne Nimesha Sulochani , Senathilake Kanishka Sithira , Rajagopalan Umapriyatharshini , Tennekoon Kamani Hemamala , Thabrew Ira , Samarakoon Sameera Ranganath
Published: March 2022

Hepatocellular carcinoma (HCC) is the most fatal cancer globally with limited treatment options. Plants and herbs have been used to treat cancer and other diseases for a long time by traditional practitioners in Sri Lanka. In the present study, leaf and bark extracts of selected plants were investigated for cytotoxic properties on HepG2 cells. Anti-oxidant activity and total phenolic and flavonoid contents were also determined. Plant extracts that exerted cytotoxic effects on the HepG2 cell line with IC50 <100 μg/mL were tested on normal liver epithelial cells (THLE-3). Out of the 56 extracts, 21 exhibited potent cytotoxic effects (IC50 < 100 µg/mL) on HepG2 cells after 48 h exposure, and 12 were less toxic (IC50 > 100 μg/mL) to THLE-3 normal liver cells. Six extracts exhibited potent radical scavenging activity with EC50 < 100 μg/mL against 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay, while 17 extracts showed potent anti-oxidant activity (Trolox equivalents > 100 mg/g) against ferric reducing anti-oxidant power (FRAP) assay. Out of the 56 extracts, 15 had total phenolic content above 100 mg/g of gallic acid equivalents, and 4 had flavonoid content above 100 mg/g of quercetin equivalents. Among the extracts screened, hexane, dichloromethane, ethyl acetate, and methanol extracts of Allophylus cobbe leaves (IC50 – 9.388, 6.8, 19.95, and 11.3 μg/mL, respectively), Madhuca longiflora bark (IC50 – 14.42 μg/mL), methanol extract of Munronia pinnata bark (IC50 – 52.06 μg/mL), and hexane, dichloromethane, ethyl acetate, and methanol extracts of Adenanthera bicolor (IC50 – 45.86, 27.35, 24.56, and 61.83 μg/mL, respectively) exerted potent cytotoxicity against HepG2 with less toxicity (IC50 > 100 μg/mL) to THLE-3 cells after 48 h of incubation. These findings provide a direction to isolate possible anti-cancer compounds for hepatocellular carcinoma.
Association of Blood Amyloid Beta‐Protein 1‐42 with Poststroke Cognitive Impairment: A Systematic Review and Meta‐Analysis
Authors: Chen Hui , Gu Sichun , Liu Xiaoying , Xie Anjie , Wang Changde
Published: March 2022

Background. Increases in blood of amyloid beta‐protein (Aβ) have been noted in patients with Alzheimer’s dementia (AD). Recent studies have shown that blood amyloid beta‐protein 1‐42 (Aβ1‐42) level is closely related to poststroke cognitive impairment (PSCI), which may be the influencing factor and even a predictor of PSCI. The aim of this systematic review was to synthesize the evidence for the association of cognitive impairment among PSCI. Methods. PubMed (MEDLINE), EMBASE, Cochrane Library, the Cochrane Central Register of Controlled Trial (CENTRAL), CNKI, and WanFang data were searched. Case‐control, cohort, and cross‐sectional studies that evaluated the association between blood Aβ1‐42 and PSCI were included irrespective of language and date of publication. The outcomes of this review consisted of (1) any dementia, (2) any cognitive impairment, and (3) any cognitive impairment no dementia, which were assessed at least 3 months (90 days) after stroke. Exposure of interest was blood Aβ1‐42 level (including serum and plasma). Results. Of 617 records retrieved, 8 studies (6 case‐control and 2 cohort studies) involving 931 stroke patients were included for further analysis. 8 studies with 931 subjects explored the correlation between Aβ1‐42 and PSCI. PSCI was reported in 457 patients, and the pooled SMD of amyloid beta‐protein 1‐42 was ‐0.96 (95% CI ‐1.10~‐0.82, I2 = 15%, P < 0.01). The results remained robust in sensitivity analysis adjusting for study quality, sample source, and cognitive scale score in analysis of studies, as well as in analysis adjusted for publication bias. Conclusions. Blood Aβ1‐42 level was significantly negatively related to the risk for PSCI, and more prospective studies with large sample size are needed to define a precise threshold value of blood Aβ1‐42 level to predict PSCI in the future. This study is registered with PROSPERO, registration number: CRD42021246165.
A Blockchain-Based User Authentication Scheme with Access Control for Telehealth Systems
Authors: Shi Shuyun , Luo Min , Wen Yihong , Wang Lianhai , He Debiao
Published: March 2022

With the development of telecommunication systems and customized monitoring devices, telehealth has been widely used to improve medical quality and reduce overall health costs. However, the convenience of connection between the providers and patients through a public channel also leads to significant security and privacy concerns. Though there have been many authentication schemes designed for secure communications in telecare systems, most of them suffer from malicious attacks or have heavy computation and communication costs. Thus, in this article, we proposed a blockchain-based user authentication scheme integrating with access control and physical unclonable function (PUF). Permissioned blockchain and PUF are used to support secure data sharing across the healthcare service providers and identify the devices, respectively. Security analysis shows that our protocol satisfies the security requirements for telehealth services and is provably secure in the random oracle model. The performance evaluation demonstrates that it has less computation and communication costs compared with three of the latest schemes.
Epidemiological Trends of Urolithiasis at the Global, Regional, and National Levels: A Population-Based Study
Authors: Qian Xiaoyuan , Wan Junlai , Xu Jinzhou , Liu Chenqian , Zhong Mingliang , Zhang Jiaqiao , Zhang Ying , Wang Shaogang
Published: March 2022

Background. Urolithiasis is common worldwide and can predispose to urinary tract infections and renal failure. We aimed to explore the global, regional, and national burden of urolithiasis between 1990 and 2019, stratified by sex, age, and sociodemographic index (SDI). Methods. From 1990 to 2019, data on the number of incident cases of urolithiasis, associated deaths, and disability-adjusted life years (DALYs) were extracted from the 2019 Global Burden of Disease (GBD) study. The trends for the incidence rate, mortality, and DALYs were evaluated using estimated annual percentage changes (EAPCs). Results. The incidence of urolithiasis increased by 48.57%, from 77.78 million incident cases in 1990 to 115.55 million in 2019, while its age-standardized incidence rate (ASIR) decreased. The ASIR increased slightly in the low SDI regions (EAPC = 0.33; 95% confidence interval [CI]: 0.24–0.43), while ASIRs in other SDI regions decreased. The incidence of urolithiasis by age presented a unimodal distribution, with the peak observed in patients aged between 50 years and 70 years. Urolithiasis-related mortality and DALYs also increased over time. Yet, the age-standardized death rate (ASDR) decreased by 2.05% (95% CI, −2.25% to −1.85%) per year, and the annual age-standardized DALY rate decreased by 1.77% (95% CI, −1.92% to −1.63%). The mortality and DALYs increased with age. The incidence, mortality, and DALYs were greater in males than those in females. The burden of urolithiasis showed obvious differences in its regional distribution over the past three decades. Conclusion. From 1990 to 2019, ASIR, ASDR, and age-standardized DALY rate of urolithiasis have decreased. Yet, particularly significant differences exist in the geographic, age, and sex distribution. Thus, medical resources should be rationally allocated and adjusted according to the geographic and demographic distribution of urolithiasis.
Simulation Study on Complex Systems of Forest Biomass Power Generation Supply Chain in China
Authors: Ma Ning , Huang Zhao , Qi Yue
Published: March 2022

Based on the perspective of complex system management of forest biomass power generation (FBPG) supply chain, this paper explores a new way to reduce the operation cost of forest biomass raw materials supply chain and improve the operation efficiency of forest biomass supply chain in China. Firstly, the supply chain model of FBPG is summarized through the survey data, and the existing problems are found. Then, the behavior strategies among farmers, middlemen, and enterprises are analyzed, and the data that cannot be obtained in the model are estimated by using statistical methods. Finally, the complex supply chain system is simulated by computer. Through setting different forestry policies, this paper compares and analyzes the profit of the supply chain and puts forward policy suggestions to promote the development of the FBPG industry in China. In this paper, the actual situation, principles of statistics, and system simulation are effectively combined to make the behavior rules of various stakeholders fit the reality, and the research conclusions are more practical.
Brand Marketing Decision Support System Based on Computer Vision and Parallel Computing
Authors: Liu Yishu , Li Jun
Published: March 2022

With the rapid development of information technology, decision support systems that can assist business managers in making scientific decisions have become the focus of research. At present, there are not many related studies, but from the brand marketing level, there are not many studies combining smart technology. Based on computer vision technology and parallel computing algorithms, this paper launches an in-depth study of brand marketing decision support systems. First, use computer vision technology and Viola-Jones face detection framework to detect consumers’ faces, and use the classic convolutional neural network model AlexNet for gender judgment and age prediction to analyze consumer groups. Then, use parallel computing to optimize the genetic algorithm to improve the running speed of the algorithm. Design the brand marketing decision support system based on the above technology and algorithm, analyze the relevant data of the L brand, and divide the functional structure of the system into three parts: customer market analysis, performance evaluation, and demand forecasting. The ROC curve of the Viola-Jones face detection framework shows its superior performance. After 500 iterations of the AlexNet model, the verification set loss of the network is stable at 1.8, and the accuracy of the verification set is stable at 38%. Parallel genetic algorithms run 1.8 times faster than serial genetic algorithms at the lowest and 9 times faster at the highest. The minimum prediction error is 0.17%, and the maximum is 2%, which shows that the system can make accurate predictions based on previous years’ data. Computer vision is a technique that converts still image or video data into a decision or a new representation. All such transformations are done to accomplish a specific purpose. Therefore, a brand marketing decision support system based on computer vision and parallel computing can help managers make scientific decisions, save production costs, reduce inventory pressure, and enhance the brand’s competitive advantage.
OWGC-HMC: An Online Web Genre Classification Model Based on Hierarchical Multilabel Classification
Authors: Dong Guozhong , Zhang Weizhe , Yadav Rahul , Mu Xin , Zhou Zhili
Published: March 2022

Web genre plays an important role in focused crawling, web link analysis, and contextual advertising. In this paper, web genre is defined as the functional purpose and the information type contained in the website. The intelligent classification of web genre can predict the content and functional type of website. However, there are several critical challenges to solve the web genre classification problem: lack of web genre classification dataset and efficient web genre classification mechanism. To improve web genre classification performance, we crawled Chinese websites of different web genres and converted crawled data into a hierarchical multilabel classification dataset. A website knowledge graph is constructed based on the relationship of website and meta tag features. Using entity features extracted from the knowledge graph, we propose an online web genre classification model based on hierarchical multilabel classification (OWGC-HMC) to mine the functional purpose of the corresponding website. Experimental results show that our OWGC-HMC model can mine hierarchical multilabel structure of web genre and outperform other web genre classification methods.
A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
Authors: Ahmad Mubashir , Qadri Syed Furqan , Qadri Salman , Saeed Iftikhar Ahmed , Zareen Syeda Shamaila , Iqbal Zafar , Alabrah Amerah , Alaghbari Hayat Mansoor , Mizanur Rahman Sk. Md.
Published: March 2022

Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes a long time to train the model which makes this task challenging and limited to larger hardware resources. In this research, we proposed a very lightweight convolutional neural network (CNN) to extract the liver region from CT scan images. The suggested CNN algorithm consists of 3 convolutional and 2 fully connected layers, where softmax is used to discriminate the liver from background. Random Gaussian distribution is used for weight initialization which achieved a distance-preserving-embedding of the information. The proposed network is known as Ga-CNN (Gaussian-weight initialization of CNN). General experiments are performed on three benchmark datasets including MICCAI SLiver’07, 3Dircadb01, and LiTS17. Experimental results show that the proposed method performed well on each benchmark dataset.
Renewable Energies in Ghana in Relation to Market Condition, the Environment, and Food Security
Authors: Kipkoech Rogers , Takase Mohammed , Amankwa Afrifa Ernest Kofi
Published: March 2022

Energy is essential to the development of a country, and several studies have been carried out on the production and use of energy by industrialised countries. However, little research and development has been carried out in developing countries on renewable energy. Also, the importance of traditional fuels such as biomass has not been emphasised in developing countries like Ghana, which rely on fossil fuels. Ghana relies heavily on imported petroleum fuel obtained from fossil fuels. However, fossil fuels are faced with many limitations including environmental pollution and an escalating price. Hydropower, biomass, biofuel, wind, and solar energy are the major renewable energy resources expected to be fully exploited in the future. This study, therefore, assesses the sources of the main renewable energy in relation to policy, the conditions of the market and food security. The government of Ghana has put in place a favourable business environment for the renewable energy sector by setting explicit feed-in tariffs (FITs). In addition, various acts and legislation have been passed and formulated by the relevant institutions (Renewable Energy Act (832) of 2011). The study revealed that there is an increase in the exploitation and use of energy from renewable resources when compared with the past decades. However, this exploitation is still limited due to barriers such as the cost of technologies, financing issues, and scientific and technical barriers.
Application Value of Health Education Combined with Aerobic Exercise in Nursing of Patients with Mastitis Found in Physical Examination
Authors: Wang Xiuxia , Sun Xianglian
Published: March 2022

Objective. To explore the application value of health education combined with aerobic exercise in patients with mastitis found in physical examination. Methods. The clinical data of 100 patients with mastitis who underwent physical examination in the physical examination center of our hospital from October 2020 to October 2021 were retrospectively analyzed. According to the order of physical examination, they were equally split into experimental group and control group. The control group received the routine clinical intervention, while the experimental group received health education combined with aerobic exercise to evaluate the clinical effects of different intervention modes on patients with mastitis. Results. Compared with the control group, the experimental group after intervention achieved notably higher scores of CD-RISC, self-management ability, and mastitis-related knowledge (

P
<
0.001

), lower scores of breast pain, skin color, and local mass diameter (

P
<
0.001

), and a higher SF-36 score (

P
<
0.001

). Conclusion. The clinical intervention combining health education with aerobic exercise in patients with mastitis found in the physical examination is an effective method to improve their mood state and self-management ability, and further research will help provide a good solution for such patients.
Dynamic Monitoring Method of Physical Training Intensity Based on Wearable Sensors
Authors: Li RuiHeng , Huang Ying , Ren Wengang , Qiao Jia
Published: March 2022

Physical training data are greatly affected by the human movement state, and the current monitoring method has the problem of low accuracy. A dynamic monitoring method of physical training intensity is designed based on the wearable sensor. The wearable sensor network is established, the quaternion is transformed into the corresponding Euler angle, and the measurement of the sensor is transformed into the human body coordinate system. In the process of human motion reconstruction, the human motion state parameters are estimated based on the wearable sensor data, the parameter eigenvalues are extracted, and the decision tree classification algorithm is used to identify the physical training state. According to the classification results, the dynamic monitoring model of three-dimensional energy training intensity is established, and the numerical index of training intensity is obtained. In terms of various physical training items, the average monitoring accuracy of the dynamic monitoring method of physical training intensity based on the wearable sensor is 97.12%, which is 3.70%, 4.59%, and 5.04% higher than the methods based on reflected interframe image, median average filtering algorithm, and Internet of Things technology, respectively, so as to realize the accurate monitoring of sports state.
Handover between Vehicular Network Providers Using Bioinspired Attractor Selection Technique
Authors: Iskandarani Mahmoud Zaki
Published: March 2022

This study looks at how to describe vehicular network connectivity using MATLAB simulation of an E. coli biological system. The model takes advantage of E. coli’s ability to adapt to environmental changes and variations by having stable states, which allows E. coli to continue surviving and developing, and uses this property to improve vehicular network connectivity to network service providers. As a result, an adaptive response to network pattern changes in terms of signal quality and stability can be obtained, as well as acceptable levels of connectivity in a changing environment via a handover mechanism. After applying it to four distinct networks, this probability-based technique was shown to work through simulation. The four networks used successfully completed the handover and maintained connectivity at various threshold levels. The impact of signal threshold variations and network sensitivity in reaction to surroundings on the handover process is also discussed in the study. By introducing two new physiologically based metrics (threshold and sensitivity), the goal of delivering Quality of Service (QoS) is realized. The used adaptive biological model allows for the selection probability λ to change according to the number of participating networks under certain environmental conditions. Noise effect is also discussed in the presented work as it affects network signals but does not affect the adaptive handover process, due to the built intelligence of the bio-inspired model.
Comparison and Research on the Applicability of Combining Information of Chinese and Foreign Literary Genres Based on Data Analysis
Authors: Xing Mingyue , Lu Qiang , Cui Qi , Xie Jiamin
Published: March 2022

Western literature has a later history of factual connection with Chinese literature, and the resources for empirical research are far less abundant than in other Eastern countries. It is also because Western culture is a different cultural system from Eastern and Chinese cultures, which also lends itself to parallel studies that seek common ground in differences and see differences in the same. In this paper, we will mainly compare Chinese and Western literature from the perspective of the lack of factual relationship between Chinese and foreign literature and explore the integration and development of the national traditional literature by combining computer algorithms.
Microvascular Invasion in Hepatocellular Carcinoma: A Review of Its Definition, Clinical Significance, and Comprehensive Management
Authors: Zheng Zehao , Guan Renguo , Jianxi Wang , Zhao Zhen , Peng Tianyi , Liu Chunsheng , Lin Ye , Jian Zhixiang
Published: March 2022

Hepatocellular carcinoma (HCC) is one of the most common types of malignancies in the world, and most HCC patients undergoing liver resection relapse within five years. Microvascular invasion (MVI) is an independent factor for both the disease-free survival and overall survival of HCC patients. At present, the definition of MVI is still controversial, and a global consensus on how to evaluate MVI precisely is needed. Moreover, this review summarizes the current knowledge and clinical significance of MVI for HCC patients. In terms of management, antiviral therapy, wide surgical margins, and postoperative transcatheter arterial chemoembolization (TACE) could effectively reduce the incidence of MVI or improve the disease-free survival and overall survival of HCC patients with MVI. However, other perioperative management practices, such as anatomical resection, radiotherapy, targeted therapy and immune therapy, should be clarified in future investigations.
Small Bowel Adenocarcinoma in a Patient with Crohn’s Disease: The Role of Balloon-Assisted Enteroscopy
Authors: Dias Emanuel , Mascarenhas Saraiva Miguel , Moreira Francisco , Cardoso Hélder , Macedo Guilherme
Published: March 2022

Introduction: Small bowel adenocarcinoma is a rare but well-known complication of Crohn’s disease. Diagnosis can be challenging, as clinical presentation may mimic an exacerbation of Crohn’s disease and imaging findings may be indistinguishable from benign strictures. The result is that the majority of cases are diagnosed at the time of operation or postoperatively at an advanced stage. Case Presentation: A 48-year-old male with a previous 20-year history of ileal stenosing Crohn’s disease presented with iron deficiency anemia. The patient reported melena approximately 1 month earlier but was currently asymptomatic. There were no other laboratory abnormalities. Anemia was refractory to intravenous iron replacement. The patient underwent computerized tomography enterography, which revealed multiple ileal strictures with features suggesting underlying inflammation and an area of sacculation with circumferential thickening of adjacent bowel loops. Therefore, the patient underwent retrograde balloon-assisted small bowel enteroscopy, where an area of irregular mucosa and ulceration was found at the region of ileo-ileal anastomosis. Biopsies were performed and histopathological examination revealed tubular adenocarcinoma infiltrating the muscularis mucosae. The patient underwent right hemicolectomy plus segmental enterectomy of the anastomotic region where the neoplasia was located. After 2 months, he is asymptomatic and there is no evidence of recurrence. Discussion: This case demonstrates that small bowel adenocarcinoma may have a subtle clinical presentation and that computed tomography enterography may not be accurate enough to distinguish benign from malignant strictures. Clinicians must, therefore, maintain a high index of suspicion for this complication in patients with long-standing small bowel Crohn’s disease. In this setting, balloon-assisted enteroscopy may be a useful tool when there is raised concern for malignancy, and it is expected that its more widespread use could contribute to an earlier diagnosis of this severe complication.
Subtype Classification of Intrahepatic Cholangiocarcinoma Using Liver MR Imaging Features and Its Prognostic Value
Authors: Park Sungeun , Lee Youngeun , Kim Haeryoung , Yu Mi Hye , Lee Eun Sun , Yoon Jeong Hee , Joo Ijin , Lee Jeong Min
Published: March 2022

Introduction: Small-duct (SD) and large-duct (LD) subtypes of cholangiocarcinoma have been investigated for their prognostic factors. This study aimed to evaluate the diagnostic value of liver magnetic resonance imaging (MRI) in differentiating SD and LD types of intrahepatic cholangiocarcinoma (iCCA) and its prognostic value in predicting survival outcomes. Methods: One hundred forty patients with surgically confirmed iCCAs (93 SD type and 47 LD type) who had available preoperative gadoxetic acid-enhanced liver MR images were retrospectively included. MRI features suggestive of the LD type over the SD type were analyzed using multivariate logistic analyses. Postoperative recurrence-free survival (RFS) and overall survival (OS) for 107 patients with available survival data were compared according to MRI features. Results: MRI features suggestive of the LD type included infiltrative contour (odds ratio [OR] 14.2, 95% confidence interval [CI]: 2.5–81.7, p = 0.003), diffuse biliary dilatation (OR 9.7, 95% CI: 1.2–76.9, p = 0.032), no arterial phase hyperenhancement (OR 17.8, 95% CI: 2.7–118.6, p = 0.003), and vascular invasion (OR 4.5, 95% CI: 1.3–15.4, p = 0.018). When two or more features were combined, sensitivity was 59.6% (28/47), and specificity was 95.7% (89/93) in discriminating the LD type. RFS/OS was significantly shorter in patients with two or more MRI features, compared to those with none or one (310 days vs. 529 days, p = 0.011/964 days vs. 2,023 days, p = 0.010). Conclusions: Preoperative liver MRI may help predict the pathological subtype of iCCAs as either the SD type or LD type, allowing preoperative identification of patients with poorer survival outcomes.
Oxygenated Hemoglobin Predicts Outcome in Patients with Chronic Lung Allograft Dysfunction
Authors: Kahnert Kathrin , Trudzinski Franziska C. , Berger Christiane , Munker Dieter , Milger Katrin , Irlbeck Michael , Tomasi Roland , Schneider Christian , Michel Sebastian , Ghiani Alessandro , Herth Felix J.F. , Behr Juergen , Jörres Rudolf A. , Kneidinger Nikolaus
Published: March 2022

Background: Long-term outcome of lung transplantation (LTx) recipients is limited by chronic lung allograft dysfunction (CLAD). In this setting of new onset respiratory failure, the amount of oxygenated hemoglobin (OxyHem; hemoglobin (Hb) concentration × fractional oxygen saturation) may provide valuable information. Objective: We hypothesized that OxyHem predicts survival of LTx recipients at the onset of CLAD. Methods: Data from 292 LTx recipients with CLAD were analyzed. After excluding patients with missing data or supplemental oxygen, the final population comprised 218 patients. The relationship between survival upon CLAD and OxyHem was analyzed by Cox regression analyses and ROC curves. Results: Among the 218 patients (102 males, 116 females), 128 (58.7%) died, median survival time after CLAD onset being 1,156 days. Survival was significantly associated with type of transplantation, time to CLAD, CLAD stage at onset, and OxyHem, which was superior to Hb or oxygen saturation. The risk for death after CLAD increased by 14% per reduction of OxyHem by 1 g/dL, and values below 11 g/dL corresponded to an 80% increase in mortality risk. Conclusion: Thus, OxyHem was identified as an independent predictor of mortality after CLAD onset. Whether it is useful in supporting therapeutic decisions and potentially home monitoring in the surveillance of lung transplant recipients has to be studied further.
Construction and Validation of a Glioma Prognostic Model Based on Immune Microenvironment
Authors: Zhou Jian , Guo Yuan , Fu Jianhui , Chen Qihan
Published: March 2022

Objective: This study aims to construct a prognostic model based on the different immune infiltration statuses of the glioma samples. Methods: Glioma-associated dataset was assessed from The Cancer Genome Atlas database. Hierarchical cluster analysis was performed to classify the glioma samples. Single-sample gene set enrichment analysis was introduced to the glioma samples for immune infiltration analysis. Kaplan-Meier survival analysis was applied to evaluate patients’ prognoses. The differentially expressed genes (DEGs) between different sample groups were screened using limma package. Univariate Cox, LASSO Cox, and multivariate Cox regression analyses were employed to construct the prognostic model. The prediction performance of the model was examined by plotting a receiver-operating characteristic (ROC) curve, and GSEA was introduced to screen the differently activated pathways between high- and low-risk groups. Results: The glioma samples were classified into 3 clusters where the different immune infiltration and survival statuses were presented among the clusters. 123 immune-related DEGs were screened from the differential expression analyses, and based on these DEGs, an 8-gene prognostic model was constructed. The ROC curve exhibited an optimal performance of the prognostic model, and GSEA showed that ECM-receptor interaction, complement and coagulation cascades, cytokine receptor pathways, and viral protein interaction with cytokine were differently activated between the two risk groups. Conclusion: The current study screened an immune-associated gene set by classifying and differential analysis, followed by constructing an 8-gene prognostic model based on the screened genes.
Comparison of Outcomes of In-Centre Haemodialysis Patients between the 1st and 2nd COVID-19 Outbreak in England, Wales, and Northern Ireland: A UK Renal Registry Analysis
Authors: Savino Manuela , Santhakumaran Shalini , Currie Christine S.M. , Onggo Bhakti S.S. , Evans Katharine M. , Medcalf James F. , Nitsch Dorothea , Steenkamp Retha
Published: March 2022

Introduction: This retrospective cohort study compares in-centre haemodialysis (ICHD) patients’ outcomes between the 1st and 2nd waves of the COVID-19 pandemic in England, Wales, and Northern Ireland. Methods: All people aged ≥18 years receiving ICHD at 31 December 2019, who were still alive and not in receipt of a kidney transplant at 1 March and who had a positive polymerase chain reaction test for SARS-CoV-2 between 1 March 2020 and 31 January 2021, were included. The COVID-19 infections were split into two “waves”: wave 1 from March to August 2020 and wave 2 from September 2020 to January 2021. Cumulative incidence of COVID-19, multivariable Cox models for risk of positivity, median, and 95% credible interval of reproduction number in dialysis units were calculated separately for wave 1 and wave 2. Survival and hazard ratios for mortality were described with age- and sex-adjusted Kaplan-Meier plots and multivariable Cox proportional models. Results: 4,408 ICHD patients had COVID-19 during the study period. Unadjusted survival at 28 days was similar in both waves (wave 1 75.6% [95% confidence interval [CI]: 73.7–77.5], wave 2 76.3% [95% CI 74.3–78.2]), but death occurred more rapidly after detected infection in wave 1. Long vintage treatment and not being on the transplant waiting list were associated with higher mortality in both waves. Conclusions: Risk of death of patients on ICHD treatment with COVID-19 remained unchanged between the first and second outbreaks. This highlights that this vulnerable patient group needs to be prioritized for interventions to prevent severe COVID-19, including vaccination, and the implementation of measures to reduce the risk of transmission alone is not sufficient.
Venetoclax: A Novel Therapeutic Agent for CLL with CNS Involvement
Authors: Karbhari Nishika , Lara-Martinez Hugo , Hill, Jr. John M.
Published: March 2022

Chronic lymphocytic leukemia (CLL) involves the proliferation of a clonal population of B cells within the bone marrow that classically spreads to the blood and lymphatic system. Central nervous system (CNS) manifestations of CLL occur rarely, and no gold standard treatment regimen has been designated to date. We report a case of CLL with CNS involvement in a 68-year-old woman who presented with a severe headache 4 years after initial diagnosis. She was started on ibrutinib, which failed to clear her CSF of malignancy. Venetoclax was then added, and this was successful in clearing her CSF. For its CNS penetration and efficacy in achieving CSF remission of CLL, we propose that venetoclax be considered as a treatment option for CLL meningitis.
A GH Secretagogue Receptor Agonist (LUM-201) Elicits Greater GH Responses than Standard GH Secretagogues in Subjects of a Pediatric GH Deficiency Trial
Authors: Bright George M. , Thorner Michael O.
Published: March 2022

Introduction: LUM-201 (ibutamoren, formerly MK-0677) is an orally administered GH secretagogue receptor agonist under development for treatment of pediatric growth hormone deficiency (PGHD). Methods: The GH response to a single dose of LUM-201 and to other GH secretagogues used for diagnosis of PGHD were compared in 68 pediatric subjects participating in a trial for growth hormone deficiency. Results: LUM-201 elicited greater GH responses than observed in GHD diagnostic tests with arginine, glucagon, clonidine, L-dopa, and insulin-induced hypoglycemia [median and interquartile ranges 15.0 ng/mL (3.5, 49) vs. 5.5 ng/mL (1.8, 7.6) (p < 0.0001)]. The difference between responses was greatest in subjects with higher baseline IGF-I concentrations and higher GH responses to standard GH stimuli. Conclusion: LUM-201 elicits greater GH responses than standard stimuli in subjects with higher peak GH in response to conventional testing and is potentially an orally administered treatment alternative to injectable rhGH in a subset of patients with adequate responses to an acute dose of LUM-201.
Digitalization Strategy for Consignment, Franchising, and Partnership Networks Through the Implementation of e-KOlab (Electronics for Consignments, Franchising, Organizational Networks) (Study on MSMEs member of DPD IWAPI Bali Association)
Authors: Farida Farida , Febrianty Febrianty , Budilaksono Sularso , Suryani Ni , Gorda A.
Published: March 2022

The province of Bali as a tourism area is feeling the impact of the Covid 19 pandemic. The indicator is the decline in the number of MSMEs. IWAPI (Indonesian Women Entrepreneurs Association) Bali Province which fosters MSMEs and Cooperatives as partners in this research requires a strategy that moves many elements to collaborate and co-optise together. The purpose of this study is: to bring together institutions, capital and MSME actors through digitalization or applications. The purpose of developing the application is to encourage MSMEs owned by Balinese women to operate locally with global quality. The research method used in this study is the OODA (Observe, Orient, Decide and Act) method. The first step is observation by collecting and observing primary data and secondary data of SMEs/IWAPI assisted. The second step is orientation by conducting root causal analysis with fishbone, SWOT and analysis of service policies towards MSMEs/IWAPI assisted, especially during pandemic recovery. The third step is Decide, namely developing e-collaborations. The last step is Act: implementation of e-collaboration, readiness testing there is application of e-collaboration. The e-Kolab application is a strategy for SMEs Scale Up and can be a Model Business Continuity Plan (BCP) in conducting business collaborations to apply the principle of local wisdom "PangPadePayu". The short-term strategy of this application will provide a digital service boost for MSME actors. While the long-term strategy is to build digital technology as a platform in MSME business processes; and the development of modern MSME business models.
Factors Associated With Medical Staff’s Engagement and Perception of a Quality Improvement Program for Acute Coronary Syndromes in Hospitals: A Nationally Representative Mixed‐Methods Study in China
Authors: Zhou Shuduo , Jin Yinzi , Ma Junxiong , Dong Xuejie , Li Na , Shi Hong , Zhang Yan , Guan Xiaoyu , LaBresh Kenneth A. , Smith Sidney C. , Huo Yong , Zheng Zhi‐Jie
Published: March 2022

Background

Medical staff represent critical stakeholders in the process of implementing a quality improvement (QI) program. Few studies, however, have examined factors that influence medical staff engagement and perception regarding QI programs.

Methods and Results

We conducted a nationally representative survey of a QI program in 6 cities in China. Quantitative data were analyzed using multilevel mixed‐effects linear regression models, and qualitative data were analyzed using the framework method. The engagement of medical staff was significantly related to knowledge scores regarding the specific content of chest pain center accreditation (β=0.42; 95% CI, 0.27–0.57). Higher scores for inner motivation (odds ratio [OR], 1.79; 95% CI, 1.18–2.72) and resource support (OR, 1.52; 95% CI, 1.02–2.24) and lower scores for implementation barriers (OR, 0.81; 95% CI, 0.67–0.98) were associated with improved treatment behaviors among medical staff. Resource support (OR, 4.52; 95% CI, 2.99–6.84) and lower complexity (OR, 0.81; 95% CI, 0.65–1.00) had positive effects on medical staff satisfaction, and respondents with improved treatment behaviors were more satisfied with the QI program. Similar findings were found for factors that influenced medical staff’s assessment of QI program sustainability. The qualitative analysis further confirmed and supplemented the findings of quantitative analysis.

Conclusions

Clarifying and addressing factors associated with medical staff’s engagement and perception of QI programs will allow further improvements in quality of care for patients with acute coronary syndrome. These findings may also be applicable to other QI programs in China and other low‐ and middle‐income countries.

Registration

URL:
https://www.chictr.org.cn/
; Unique identifier: Chi‐CTR2100043319.