bluuebunny/crossref_metadata_2025 huggingface dataset:
INDIVIDUAL DIGITAL TRANSFORMATION READINESS: CONCEPTUALISATION AND SCALE DEVELOPMENT
Authors: MUEHLBURGER MANUEL , KRUMAY BARBARA , KOCH STEFAN , CURRLE SIMON
Published: August 2022

This study aims to conceptualise and operationalise a construct representing the individual characteristics of employees that positively influence organisational digital transformation (DT) endeavours. By identifying the central phenomena behind DT, the relevant characteristics of individual employees were identified, mapped towards established psychometrical constructs and surveyed in a large-scale online survey. Confirmatory and exploratory factor analyses were applied to develop two scale models, which were then validated in two organisational units with perceivable differences in their utilisation of digital technologies. Initial validation results indicate that individuals in highly digitised organisations exhibit considerably higher individual digital transformation readiness (IDTR) measurements in both of the developed scale models compared to their counterparts in less digitised organisations. This research further contributes to ongoing discussions concerning the interplay of individual employee characteristics, organisational culture and DT success by providing a set of individual characteristics relevant for DT.
LEAD USER IDENTIFICATION THROUGH TWITTER USING MICRO-BLOG DATA—A CASE STUDY IN THE AVIATION INDUSTRY
Authors: SCHULZ STEFANIE , BREM ALEXANDER , GLADYSZ BARTOSZ
Published: August 2022

To date, one of the most prominent methods to integrate users into the innovation process is the lead user method. However, due to its high resource intensity, it is less used than its potential would allow. In times of the internet and especially social media, this is changing since methods like netnography allow to efficiently identify potential lead users. Hence, based on a case study in the aviation industry, targeted screening and pyramiding are combined to identify lead users. Three users with sufficient characteristics to be lead users were included based on their degree-centrality and relevant contribution on Twitter. This study proposes the combination of these methods and Twitter as a suitable approach for lead user identification.
Research on the Prediction System of Event Attendance in an Event-Based Social Network
Authors: Lan Tianming , Guo Lei , Li Xiaofei , Chen Guangfu
Published: August 2022

In recent years, an event-based social network recommendation system has attracted more and more researchers’ attention. Most EBSN recommendation systems mainly focus on recommending events to users. However, in many daily activities, it is necessary to accurately estimate the number of event participants for EBSN event organizers. As an effective means to solve the problem of event attendance prediction, the EBSN event attendance prediction system needs to mine the context information in EBSN fully and use the information to alleviate the problems of data sparsity and cold start. It brings some new challenges to the research of EBSN event attendance prediction systems. According to user characteristics and context factors, the main task of the EBSN event attendance prediction system is to obtain accurate user preferences, adopt efficient prediction algorithms to improve prediction performance, and avoid losses. This paper summarizes the research progress of the EBSN event attendance prediction system in recent years. Firstly, this paper analyzes the recent research on event attendance prediction in EBSN; secondly, we summarize the role, significance, and challenges of EBSN event attendance prediction; third, we summarize the critical technologies of EBSN event attendance prediction; the contents include mining the contextual information that affects the user’s participation in the event, user preference acquisition, the method of event attendance prediction, the data set of event attendance prediction, the evaluation indicators of event attendance prediction, etc.; fourth, we look forward to the future development directions of event attendance prediction from six aspects: the methods of integrating contextual factors, the user preference acquisition methods, the prediction algorithms, the utility evaluation of event attendance prediction, the user information security, and privacy protection, and the cold start issues; finally, we conclude this paper.
Effect of Restraint Stress on Pain Sensitivity, Spinal Trigeminal Nucleus Neurons, and Astrocytes in the Masseter Area of Rats
Authors: Han Feng
Published: August 2022

To explore the changes of pain sensitivity (PS) in the masseter area (MA) in the rat model of psychological stress and the mechanism of action between spinal nucleus neurons and astrocytes in the trigeminal ganglion. The 40 Sprague-Dawley rats were randomly divided into control group (no treatment), group A (restraint stress (RS) 1 d), group B (RS 7 d), and group C (RS 14 d). The body weight growth rates (WGR) of rats in each group were compared and the difference of CORT and ACTH in serum was analyzed by ELISA. The open field test and the elevated “cross” maze test were adopted to detect the behavioral changes of rats. Finally, pain threshold of the MA in rats, the activation amount of brain tissue medulla oblongata parts astrocytes markers Glial fibrillary acidic protein (GFAP), and the protein expression of IL-1β and IL-1RI were detected. The results showed the WGR at 7 d and 14 d was greatly lower than control group (

P
<
0.01

). In addition, the activity level and serum CORT and ACTH levels AND mean pain threshold in the MA of groups B and C were greatly lower than control group (

P
<
0.05

). The activation rate of GFRP in group C (

P
<
0.01

) and the protein expression of IL-1β and IL-1RI (

P
<
0.05

) in rat trigeminal ganglion astrocytes of groups B and C was greatly higher than control group, indicating the increase of RS time, the release of IL-1β and IL-1RI can activate neurons and astrocytes in spinal trigeminal nucleus (STN) nerve and increase the PS of the MA.
Virtual Reality Simulation of High Tibial Osteotomy for Medical Training
Authors: Han Sang-Won , Sung Su-Kyung , Shin Byeong-Seok
Published: August 2022

The quality of surgical operation is very important for the patients’ safety and the reduction of aftereffects after surgery. To do this, practicing surgical operations is also increasingly important. Due to the development of hardware and simulation techniques such as virtual reality (VR), VR simulators have been developed as a method to train surgeons and medical students majoring in surgery. In addition, controllers that support various kinds of haptic feedback have also been developed for a more realistic and immersive user experience. In this study, we introduce a morphable haptic controller that provides geometric and tactile feedback to users and propose a VR simulation system using this controller. This system is designed to perform a high tibial osteotomy in a virtual environment. The morphable haptic controller attached to the system through the input mapping daemon provides the senses of multiple surgical instruments used in the simulation. As a result, the haptic controller achieves an outstanding result through an actual interaction between surgical tools and the surgical sites. We verified that this was effective in surgery training through orthopedic surgeons.
Sigesbeckia orientalis Extract Ameliorates the Experimental Diabetic Nephropathy by Downregulating the Inflammatory and Oxidative Stress Signaling Pathways
Authors: Chen Chung-Ming , Houng Jer-Yiing , Ko Tsui-Ling , Juan Shu-Hui , Chou Hsiu-Chu
Published: August 2022

Diabetes in children and its complications are on the rise globally, which is accompanied by increasing in diabetes-related complications. Oxidative stress and inflammation induced by elevated blood sugar in diabetic patients are considered risk factors associated with the development of diabetes complications, including chronic kidney disease and its later development to end-stage renal disease. Microvascular changes within the kidneys of DM patients often lead to chronic kidney disease, which aggravates the illness. Sigesbeckia orientalis extract (SOE), reported to have strong antioxidative and excellent anti-inflammatory activities, is used in the modern practice of traditional Chinese medicine. Kidneys from three groups of control mice (CTR), mice with streptozotocin (STZ)-induced diabetes (DM), and mice with STZ-induced DM treated with SOE (DMRx) were excised for morphological analyses and immunohistochemical assessments. Only mice in the DM group exhibited significantly lower body weight, but higher blood sugar was present. The results revealed more obvious renal injury in the DM group than in the other groups, which appeared as greater glomerular damage and tubular injury, sores, and plenty of connective tissues within the mesangium. Not only did the DM group have a higher level of cytokine, tumor necrosis factor, and the oxidative stress marker, 8-hydroxyguanosine expression, but also factors of the nuclear factor pathway and biomarkers of microvascular status had changed. Disturbances to the kidneys in DMRx mice were attenuated compared to the DM group. We concluded that SOE is an effective medicine, with antioxidative and anti-inflammatory abilities, to protect against or attenuate diabetic nephropathy from inflammatory disturbances by oxidative stress and to cure vessel damage in a hyperglycemic situation.
NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era
Authors: Khanday Akib Mohi Ud Din , Bhushan Bharat , Jhaveri Rutvij H. , Khan Qamar Rayees , Raut Roshani , Rabani Syed Tanzeel
Published: August 2022

The latest trend of sharing information has evolved many concerns for the current researchers, which are working on computational social sciences. Online social network platforms have become a tool for sharing propagandistic information. This is being used as a lethal weapon in modern days to destabilize democracies and other political or religious events. The COVID-19 affected almost every corner of the world. Various propagandistic tweets were shared on Twitter during the peak time of COVID-19. In this paper, improved artificial neural network algorithm is proposed to classify tweets into propagandistic and nonpropagandistic class. The data are extracted using multiple ambiguous hashtags and are manually annotated into binary class. Hybrid feature engineering is being performed by combining “Term Frequency (TF)/Inverse Document Frequency (IDF),” “Bag of Words,” and Tweet Length. The proposed algorithm is compared with logistic regression, support vector machine, and multinomial Naive Bayes. Results showed that improved artificial neural network algorithm outperforms other machine learning algorithms by having 77.15% accuracy, 77% of recall, and 79% precision. In future, deep learning approaches like LSTM may be used for this classification task.
Bioactive Compounds and Therapeutics from Fish: Revisiting Their Suitability in Functional Foods to Enhance Human Wellbeing
Authors: Awuchi Chinaza Godswill , Chukwu Charles Nnanna , Iyiola Adams Ovie , Noreen Sana , Morya Sonia , Adeleye Ademiku O. , Twinomuhwezi Hannington , Leicht Katarzyna , Mitaki Nancy Bonareri , Okpala Charles Odilichukwu R.
Published: August 2022

Global public awareness about fish‐based diet and its health/nutritional benefits is on the rise. Fish nutritional profile projects promising bioactive and other compounds with innumerable health benefits for human wellbeing. As various reported researches involving fish/marine‐derived molecules reveal promising attributes, and as the position of fish‐based nutrients as nutraceuticals continue to strengthen, health challenges still confront communities worldwide, from cardiovascular disease, diabetes, and obesity to hypertension. Thus, further understanding of fish‐based nutrient impact as functional foods remains crucial given the diverse prevailing compositional/nutraceutical merits. In this review, therefore, we provide important information regarding bioactive compounds and therapeutics obtained from fish, specific to the context of their suitability in functional foods to enhance human health. This contribution is hereby constructed as follows: (a) fish nutraceutical/therapeutic components, (b) constituents of fish‐based nutrients and their suitability in functional foods, (c) fish antioxidant/bioactive compounds to help alleviate health conditions, (d) common human ailments alleviated by fish‐based nutrients, and (e) role of fish in mental health and immune system. As increased fish consumption should be encouraged, the potential of the quality proteins, omega‐3 fatty acids, and other compounds inherent in fish should steadily be harnessed.
Exploration of the Shared Gene Signatures between Myocardium and Blood in Sepsis: Evidence from Bioinformatics Analysis
Authors: Long Qi , Li Gang , Dong Qiufen , Wang Min , Li Jing , Wang Liulin
Published: August 2022

Background. Septic cardiomyopathy is widespread during sepsis and has adverse effects on mortality. Diagnosis of septic cardiomyopathy now mainly depends on transthoracic echocardiogram. Although some laboratory tests such as troponin T and atrial brain natriuretic peptide play a role in the diagnosis, specific blood biochemistry biomarkers are still lacking. Objective and Methods. In our study, we sought to find potential biological markers from genes and pathways that are covariant in the blood and myocardium of septic patients. Bioinformatics and machine learning methods were applied to achieve our goal. Datasets of myocardium and peripheral blood of patients with sepsis were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were selected and received functional enrichment analysis. Unsupervised hierarchical clustering analysis was performed to identify the subtypes of sepsis. Random forest, lasso regression, and logistic regression were used for variable screening and model construction. Internal and external validation sets were applied to verify the efficiency of the model in classifying disease and predicting mortality. Results. By defining significance for genes using Student’s t‐test, we obtained 1,049 genes commonly changed in both myocardium and blood of patients with sepsis. The upregulated genes (LogFC >0) were related to inflammation pathways, and downregulated (LogFC <0) genes were related to mitochondrial and aerobic metabolism. We divided 468 sepsis patients into two groups with different clinical result based on the mortality‐related commonly changed genes (104 genes), using unsupervised hierarchical clustering analysis. In our validation datasets, a six‐gene model (SMU1, CLIC3, SP100, ARHGAP25, DECR1, and TNS3) was obtained and proven to perform well in classifying groups and predicting mortality. Conclusion. We have identified genes that have the potential to become biomarkers for septic cardiomyopathy. Additionally, the pathophysiological changes in the myocardium of patients with sepsis were also reflected in peripheral blood to some extent. The co‐occurring pathological processes can affect the prognosis of sepsis.
The Optimization of Shed-Tunnel Structure in the Confined Environment
Authors: Yi Wu , Shao Huizhao , Cui Zhoutong , Huang Xiaohu , Zhou Ying
Published: August 2022

The design of shed-tunnel structure in the confined environment can help to avoid the safety of passing vehicles and pedestrians from being threatened by the impact of upper rockfall in highway, railway, and other rockfall disaster protection engineering. Due to the limitation of the space environment, it is necessary to optimize the shed-tunnel structure to provide enough space for passing vehicles and pedestrians. In this study, a case study was made on the passing shed tunnel of Badong Juebitianhe Revolutionary Education Base. First, the theoretical calculation of rockfall impact force was compared and optimized. Then, the optimization scheme of “column + anchor bolt + buffer layer” was proposed based on the commonly used shed-tunnel form and was verified by ABAQUS numerical simulation. The performance of the optimized shed-tunnel structure is greatly improved in terms of the space utilization rate of shed tunnel and the impact resistance of rockfall.
Improvement of Evaluation Method of Elderly Family Medical Product Design Based on AHP
Authors: Yue Han , Zhu Tian-Lu , Zhou Zheng-Jun , Zhou Tao
Published: August 2022

Due to the needs of an aging society, household medical products for the elderly are becoming increasingly important in everyday life. To improve the quality and scientificity of household medical product design for the elderly, this study uses the analytic hierarchy process to improve the evaluation method of household medical product design for the elderly and to promote the vigorous development of household medical products for the elderly. Based on previous research, firstly, this paper summarised the design elements of household medical products for the elderly using questionnaire research and used this to establish a hierarchical analysis model. Secondly, experts and the elderly were invited to rate the subcriteria layers, and the hierarchical analysis software Yaahp was used to calculate the weight values of each criterion layer to arrive at a ranking of the importance of the elements of elderly household medical product design. Finally, the accuracy of the results was verified by three examples of geriatric household blood glucose meters. In this study, the analytic hierarchy process (AHP) was introduced into the evaluation method of the design of household medical products for the elderly, which improved the evaluation system of the design of household medical products for the elderly and pointed out the direction of the design of household medical products for the elderly to continue to optimize and improve in the future. At the same time, it can also provide a reference for the design evaluation of similar products.
Effectiveness of Perioperative Comprehensive Evaluation of Hip Fracture in the Elderly
Authors: Zhu Tao , Yu Jun , Ma Ye , Qin Yue , Li Nan , Yang Haibo
Published: August 2022

Objective. The objective is to observe the effect of Comprehensive Geriatric Assessment (CGA) in the perioperative period of hip fracture. Methods. From October 2018 to October 2021, 155 patients over the age of 65 diagnosed with hip fracture and treated with surgery at the Department of Trauma Orthopaedics of General Hospital of Ningxia Medical University were randomly divided into two groups using a prospective research method. A total of 70 cases in the CGA group received a perioperative comprehensive assessment of the geriatric, and 85 cases in the control group received routine medical consultation. Results. Elderly patients with hip fractures have a high comorbidity index. Patients with abnormal daily activity before injury accounted for 55%, the abnormal rate of nutrition was 58.1%, the abnormal rate of cognition, anxiety, and depression was 81.8%, and 77.3% of the patients were in a weak state. There was no significant difference in age, gender, ASA grade, fracture type, and operation mode between the two groups, but there were significant differences in operation rate at 48 h (χ2 = 22.153; P ≤ 0.001), preoperative waiting time (Z = −6.387; P ≤ 0.001), total hospital stay (Z = −11.756; P ≤ 0.001), and incidence of postoperative delirium (χ2 = 23.897; P ≤ 0.001). Conclusions. The implementation of CGA shortened the preoperative waiting time and total hospital stay, increased the 48 h operation rate, and reduced the incidence of postoperative delirium.
Inhibitory Effects of Rhein on Renal Interstitial Fibrosis via the SHH-Gli1 Signal Pathway
Authors: Luo Yan , Jiang Juan , Cheng Junxiong , Xuan Chen , Xiong Yu , Xiong Weijian , Cao Wenfu , Li Ying
Published: August 2022

Background. Rhein is the main extract of Rheum palmatum L., which has been proved to improve the renal function of chronic kidney disease, but its mechanism is not clear. Therefore, this experiment explored the potential pharmacological effect of rhein on renal interstitial fibrosis rats. Methods. This study explores the potential pharmacological action of rhein. In this work, we investigate the potential pharmacological action of rhein in unilateral urethral obstruction (UUO) rats. Thirty Sprague Dawley rats were randomly divided into three groups: sham, UUO, and rhein (rhein-treated UUO rats) groups. The left ureters of the UUO group rats were exposed and bluntly dissected. The rhein group rats were administered an intragastric gavage of rhein (2 mg·kg−1·d−1) for 14 d. Kidney function-related indicators were monitored in these rats, while indexes of pathologic aspects were determined histologically. The expression of α-SMA, TGF-β1, SHH, Gli1, and Snail was quantified using real-time polymerase chain reaction and western blotting. The NRK-49F cells were incubated with and without SHH (100 ng·ml−1) for 48 hours. The SHH-activated NRK-49F cells were incubated with cyclopamine (CNP, 20 umol L−1) or rhein (1 ng·ml−1). The Gli1 and Snail mRNA and protein level were detected. Results. In the in vivo experiment, the results exhibited that UUO caused renal pathological damages. However, these changes could be significantly reversed by the administration of rhein. Compared with the untreated UUO group, the rhein group showed reduced kidney tubular atrophy and necrosis, interstitial fibrosis, hyperplasia, and abnormal deposition of extracellular matrix. Rhein reduced the RNA and protein expression of SHH, Gli1, and Snail of the UUO rats. In the in vitro experiment, CNP or rhein treatment decreased the expression of Gli1 and Snail on mRNA and protein levels in SHH-induced NRK-49F cells, suggesting that CNP or rhein suppresses SHH-induced NRK-49F activation. Taken together, these results demonstrated that rhein suppresses SHH-Gli1-Snail signal pathway activation, with potential implications for the treatment of renal fibrosis. Conclusions. Treatment with rhein remarkably ameliorated renal interstitial fibrosis in UUO rats by regulating the SHH-Gli1-Snail signal pathway.
A Preliminary Study of Alterations in Iron Disposal and Neural Activity in Ischemic Stroke
Authors: Mahmoudi Aqeel-Abadi Abolfazl , Fateh Hamid-Reza , Masoudnia Saeed , Shirzad Niloufar , Seyfi Milad , Ebrahimi Tayyebeh , Nazem-Zadeh Mohammad-Reza
Published: August 2022

Purpose. The study aimed to evaluate the postrehabilitation changes in deep gray matter (DGM) nuclei, corticospinal tract (CST), and motor cortex area, involved in motor tasks in patients with ischemic stroke. Methods. Three patients participated in this study, who had experienced an ischemic stroke on the left side of the brain. They underwent a standard rehabilitation program for four consecutive weeks, including transcranial direct current stimulation (tDCS), neuromuscular electrical stimulation (NMES), and occupational therapy. The patients’ motor ability was evaluated by Fugl‐Meyer assessment‐upper extremity (FMA‐UE) and Wolf motor function test (WMFT). Multimodal magnetic resonance imaging (MRI) was acquired from the patients by a 3 Tesla machine before and after the rehabilitation. The magnetic susceptibility changes were examined in DGM nuclei including the bilateral caudate (CA), putamen (PT), globus pallidus (GP), and thalamus (TH) using quantitative susceptibility mapping (QSM). Functional MRI (fMRI) in the motor cortex areas was acquired to evaluate the postrehab functional motor activity. The three‐dimensional corticospinal tract (CST) was reconstructed using diffusion‐weighted imaging (DWI) and diffusion tensor tractography (DTT), and the fractional anisotropy (FA) was measured along the tract. Ultimately, the relationship between the structural and functional changes was evaluated in CST and motor cortex. Results. Postrehabilitation FMA‐UE and WMFT scores increased for all patients compared to the prerehabilitation. QSM analysis revealed increasing in susceptibility values in GP and CA in all patients at the ipsilesional hemisphere. By fMRI analysis, the ipsilesional hemisphere demonstrated an increase in functional activity in motor areas for all 3 patients. In the ipsilesional hemisphere, the fractional anisotropy (FA) was increased in CST in two patients, while the mean diffusivity (MD) was decreased in CA in a patient, in PT and TH in another patient, and in PT in two patients. Conclusion. This preliminary study demonstrates that the magnetic susceptibility may decrease at some ipsilesional DGM nuclei after tDCS, NMES, and occupational therapy for patients with ischemic stroke, suggesting a drop in the level of iron deposition, which may be associated with an increase in the level of activity in motor cortex after rehabilitation.
Nonlinear Vibrations of an Axially Moving Beam with Fractional Viscoelastic Damping
Authors: Zhang Zhe , Yang Hongxiang , Guo Zhongjin , Zhu Lili , Liu Weiyan
Published: August 2022

The nonlinear vibrations of an axially moving viscoelastic beam under the transverse harmonic excitation are examined. The governing equation of motion of the viscoelastic beam is discretized into a Duffing system with nonlinear fractional derivative using Galerkin’s method. The viscoelasticity of the moving beam is described by the fractional Kelvin–Voigt model based on the Caputo definition. The primary resonance is analytically investigated by the averaging method. With the aid of response curves, a parametric study is conducted to display the influences of the fractional order and the viscosity coefficient on steady‐state responses. The validations of this study are given through comparisons between the analytical solutions and numerical ones, where the stability of the solutions is determined by the Routh–Hurwitz criterion. It is found that suppression of undesirable responses can be achieved via changing the viscosity of the system.
A New Theoretical Investigation of the Generalized Formulations of Spirallike Functions
Authors: Balachandar Geetha , Kaabar Mohammed K. A. , Kenneth Charles Robert , Yenoke Kins
Published: August 2022

In this study, the idea of

q

-calculus is applied to define new classes of spirallike functions

α
−
UCSPT

q
,
ϕ
,
δ

and

α
−
S

P

p

T

q
,
ϕ
,
δ

. The coefficient inequalities, rotational invariance, and containment results are proved for these classes. Further, by introducing a parameter

β

, two more subclasses are defined and their properties are investigated. Finally, we have probed into these classes by fixing finitely several coefficients.
Optimal Cellular Microscopic Pattern Recognizer- (OCMPR-) Based Wireless Detection Network for Efficiently Leveraging the Parallel Distributed Processing Capabilities
Authors: Kaleeswaran D. , Kavitha R.
Published: August 2022

Recognizing patterns associated with particular events enables the detection of specific critical changes in the events. Due to the resource constraints inherent in WSNs, pattern recognition is highly dependent on the complexity of the computation, the number of iterations, and the requirements for node training. Iterative learning is frequently used in computer-based computer vision. As a result, these methods are in conflict with the perfectly alright architecture of the WSN. The proposed technique, Optimal Cellular Microscopic Pattern Recognizer (OCMPR), enables the detection of macroscale events in WSN. Using the distributed system computational resources of WSNs, the approach reduces calculations for conserving energy and improves recognition. The method generates promising results by combining a well-known optimization technique (the genetic algorithm) with CMPR. This approach addresses the resource-constrained WSN’s real-time mission-critical application needs. Global and quick recognition is achieved by dispersing processing over a network’s nodes, allowing for loosely connected communication. The results demonstrate the suggested scheme’s versatility.
Application of Isotope Tracer in Cross-Well Nanometre Tracer Testing
Authors: Pang Yang , Zhao Lin , Song Yushou , Wei Guang , Han Yehui , Wang Qiang
Published: August 2022

In order to understand the dynamic monitoring characteristics and heterogeneity characteristics of injection production wells in the monitoring area and judge the reservoir connectivity, this study puts forward the application method of isotope nanometre tracer in interwell nanometre tracer testing. The trace material nanometre tracer interwell monitoring technology was applied to well block J in a basin. Through the analysis of the morphological characteristics of the nanometre tracer production curve and the quantitative interpretation of trace material tracer, combined with the analysis of the advancing speed of the water line at the front edge of the nanometre tracer and the distribution of injected water wells, the nanometre tracer connectivity, and advancing speed, the characteristics of seepage channels and heterogeneity of the well groups in the study area were defined. The research results show that 8 oil wells in the monitoring area are controlled by water injection well J1, the injection water inrush direction is generally north, the main channel of injection water is mainly high-permeability strip, and the heterogeneity contradiction between layers is strong. It is recommended to adopt mild water injection. Conclusion. This study found that the dynamic connectivity between oil and water wells in the monitoring area is good.
Construction of Interactive Virtual Reality Simulation Digital Media System Based on Cross-Media Resources
Authors: Li Shuo , Li Jianjun
Published: August 2022

The combination of video and music is the most typical combination form in interactive multimedia works, which focuses on the audio-visual presentation characteristics of interactive art. Since both creative practice and theoretical research are still in the development stage, we focus on the creation of audio-visual integration in interactive multimedia works. Theoretical achievements are still very rare, and the guidance of creation theory plays an important role in the improvement of the aesthetic level of works. Therefore, for the development of interactive multimedia works creation, creating a new audio-visual relationship research path has important theoretical value and application value. It also has a certain historical significance for promoting the maturity of this art form. Through interactive virtual reality technology, this paper conducts an in-depth discussion on the simulation of digital media system across media resources. It is more suitable for the user’s preference than the PC machine side. From technical means to artistic aesthetic characteristics and practical application, the application field and industry influence of digital media art carried by virtual reality are expounded, and the problems and solutions faced at this stage are proposed. By analyzing the application of virtual reality aesthetics in interaction design, the relationship between the visual level and the experience level of virtual reality aesthetics is discussed. Starting from the basic concepts of virtual reality aesthetics and interaction design, this paper analyzes the virtual reality space architecture and aesthetic dimension of interaction design in the era of artificial intelligence, and the value of virtual reality aesthetics in interaction design. Most interactive multimedia works rely on the open programming environment and have highly open creation tools to realize cross-media creation. The interactive integration of multimedia art and visual communication is the trend in design development. It follows the law of formal beauty and uses visual language to guide the content. Visual communication adapts to the needs of multiplatform media communication, adds multimedia art elements, and promotes the integration of scientific and technological progress and artistic development.
Dysregulation of NK and CD8+T Cells by the Microbiota Promotes the Progression of Lung Cancer
Authors: Hu Shouxin , Zha Yanfang , Yang Wenwen , Cui Kele , Cheng Min
Published: August 2022

The commensal microbiota is involved in maintaining local pulmonary immune homeostasis under physiological conditions. Alterations in the amount and dominant species of the microbiota can reshape the immune response of the body and lead to a variety of lung diseases, including cancer. The precise mechanisms by which microbiota regulate immune cells during the progression of lung cancer remain obscure. In this study, using a Kras-mutated-driven spontaneous lung cancer mouse model, we found that the depletion of microbiota can alleviate lung lesions in Kras-mutated mice at different stages of tumour development. Long-term antibiotic treatment significantly reduced the number NK cells and IFN-γ secretion and CD8+T cells in the lungs of wild-type (WT) mice, suggesting that the microbiota plays an important role in maintaining homeostasis of NK cells and CD8+T cells under normal conditions. However, in Kras-mutated mice, the altered pulmonary immune microenvironment resulted in a microbiota disorder and in the loss of the ability to regulate the immune responses of NK cells and CD8+T cells, thus promoting the occurrence and development of lung cancer. Further mechanistic studies have shown that the CXCL9-CXCR3 axis participated in the local recruitment of NK cells and CD8+T cells by the microbiota into lung tissues in Kras-mutated mice. Our findings reveal the role of the microbiota in reshaping tumour-related immune responses involving NK cells and CD8+T cells and shed light on the clinical immunotherapy of lung cancer.
Real‐World Efficacy and Safety of Sintilimab‐Based Regimens against Advanced Esophageal Cancer: A Single‐Center Retrospective Observational Study
Authors: Wang Chenyu , Jin Linzhi , Cheng Xinyu , Ren Runchuan , Zheng Anping , Hao Anlin , Wang Nengchao , Zhang Jinwen , Zhou Fuyou , Zhang Yaowen
Published: August 2022

This study is aimed at assessing the sintilimab‐based regimens’ safety and efficacy for advanced esophageal cancer (EC) treatment in the real world. Cases of advanced EC treated with sintilimab‐based regimens in the Anyang Tumor Hospital between 1 January 2020 and 1 August 2021 were retrospectively examined. Progression‐free survival (PFS), overall survival (OS), disease control rate (DCR), objective response rate (ORR), and adverse events (AEs) were evaluated. Among the 50 included patients, the median PFS was 11.3 months (95% CI: 5.0‐17.6 months), and the 1‐year PFS rate was 49.2%. The median OS was not reached, and the 1‐year OS rate was 67.1%. Complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD) were seen in 14% (n = 7), 46% (n = 23), 32% (n = 16), and 8% (n = 4) of the 50 patients, respectively. Therefore, the ORR and DCR were 60% (30/50) and 92% (46/50), respectively. The CR rate of patients with radiotherapy was higher than that without radiotherapy (25% vs. 3.8%, P = 0.031). The 1‐year OS rate was higher in patients with radiotherapy than in patients without radiotherapy (85.9% vs. 53.2%, P = 0.020). The most observed AEs included anemia, decrease in white blood cell count, nausea/vomiting, and hypoproteinemia. Sintilimab‐based regimens achieved good disease control and tolerance for treating advanced EC in the real world. Combined radiotherapy can improve the efficacy and deserves further study.
Artificial Intelligence-based Machine English-Assisted Translation in the Internet of Things Environment
Authors: Zhang Wanfang , Tang Yuan
Published: August 2022

With the development of Internet of Things technology, the things that machines do instead of humans are becoming more and more complicated. Machine translation has developed rapidly in the past few decades, and the translation system has also been greatly improved. People’s life and work are inseparable from machine translation, which brings a lot of convenience to people. But machine translation also has many flaws. Although machine translation can translate long texts in a very short time, its translation quality is quite poor, especially in the face of advanced English such as professional English, terminology, abbreviations, etc. To this end, machine English-assisted translation systems have been developed in recent years. Different from the working principle of machine English translation, machine English-assisted translation is a method of artificial intelligence + human-computer interaction. It uses convolutional neural networks and deep learning to translate words efficiently. The translator puts the original text and the translation into the machine database each time, and the machine can process some English terms, complex sentences, technical English, and other advanced English after continuous learning. Machine English-assisted translation can reduce repeated translations and greatly improve translation quality and translation efficiency. In this paper, the combination of artificial intelligence and machine English-assisted translation is compared with machine English translation, and comparative experiments are carried out by setting different matching degrees. Experiments show that the translation efficiency of machine English-assisted translation is much better than that of machine English translation. As the matching rate increases, the translation efficiency of machine English-assisted translation is higher. When the matching rate is greater than 80%, the translation efficiency is three times that of machine English translation. However, it is slightly insufficient in processing pure, simple statements. It highlights the advantages of machine English-assisted translation in terms of term translation and long complex sentences.
Components Affecting the Promotion of COVID‐19 Disease Prevention Behaviors among Iranian Students: A Qualitative Study by Using the PRECEDE Model
Authors: Layeghiasl Mehdi , Kaveh Mohammad Hossein , Karimi Masoud , Mirahmadizadeh Alireza
Published: August 2022

Background. COVID‐19 is a social health problem. Several risk factors threaten students, and schools can provide a suitable environment for managing and performing health promotion programs. Given the extensive spread of the disease and the existence of multilevel components affecting the adoption of preventive behaviors, understanding the views and opinions of the audience about the barriers and facilitators affecting the behavior using qualitative studies can be one of the ways to have a successful intervention. Materials and Methods. This was a qualitative study performed by a directed content analysis method while using the PRECEDE model (predisposing, reinforcing, enabling constructs in educational diagnosis and evaluation). In total, 38 individuals (teachers, parents, and students) were entered into the study using the purposive sampling method. Data were collected by semistructured interviews, and the implemented data were systematically classified into five stages (condensed meaning units, code, subcategory, category, and theme) and were arranged and analyzed. Results. The findings are classified into three themes of predisposing, enabling, and reinforcing factors. In addition, perceived sensitivity, perceived intensity, mental beliefs, behavior outcome evaluation, and perceived power were considered as subcategories of predisposing factors, whereas normative beliefs and motivation for adherence to protocols were subcategories of reinforcing factors, and control beliefs were subcategories of enabling factors. Conclusion. Our findings could be used as a guide to design educational interventions aiming at promoting COVID‐19 prevention behaviors in schools.
PEGylated Cisplatin Nanoparticles for Treating Colorectal Cancer in a pH-Responsive Manner
Authors: Li Wei , Sun Yongjun , Chen Jian , Jiang Zhibin , Yang Jinbao
Published: August 2022

Colorectal cancer (CRC) is a common malignant tumor, and its incidence ranks third and mortality rate ranks second in the world. Cisplatin cannot target CRC cells and has notable toxicity, which significantly limits its clinical application. The emerging PEGylated nanodrug delivery system can improve circulation time and enhance tumor targeting. In this study, the HA-mPEG-Cis NPs were synthesized by self-assembly, which can target CD44-positive CRC cells and dissolve the PEG hydration layer responsive to the weakly acidic tumor environment. The average hydrodynamic diameter of HA-mPEG-Cis NPs was 48 nm with the polydispersity index of 0.13. The in vitro cisplatin release was in a pH-responsive manner. The HA-mPEG-Cis NPs group showed the highest apoptosis rate (25.1%). The HA-mPEG-Cis NPs exhibited antitumor efficacy via the PI3K/AKT/mTOR signaling pathway. The HA-mPEG-Cis NPs showed the lowest tumor volume and weight among all the groups in CT26 cell-bearing mouse model. The HA-mPEG-Cis nanodrug delivery system not only increases the stability and circulation time but also reduces the side effects of loaded cisplatin. Overall, the in vitro and in vivo experiments confirmed the satisfied antitumor efficacy of HA-mPEG-Cis NPs. Therefore, this study provides a rational design for application of pH-responsive HA-mPEG-Cis nanodrug delivery system in the future.
Innovation Model of Journalism Education Based on Information Technology under the Background of New Media
Authors: Wu Yunping , Wang Hui
Published: August 2022

In recent years, as a new way of information dissemination, new media has brought a huge impact on traditional media. New media is the most important and popular communication medium in the new century, and the communication mode promotes the transformation of the whole society. With the continuous updating of mobile devices and the continuous increase of various news dissemination channels, which accelerates the speed of information dissemination, it also puts forward a test for the quality and effectiveness of news broadcasting. With the continuous development of information technology, the reform of education informatization continues to advance. At present, journalism education research has become a hot topic in journalism research, and journalism professional education faces many challenges in the context of educational informatization. It needs to take corresponding measures to innovate teaching concepts and teaching methods, so as to meet the requirements of education reform for journalism. This paper studies the development trend of new media. It is based on the effective application of information technology means to teaching and scientific research and aims to promote the progress and development of journalism education. This paper studies the impact of different audio sample durations on retrieval accuracy and retrieval speed and finds that the corresponding recall rate when the query sample audio length is 5 seconds is 82.5%. When the time length is 10 seconds, the recall rate is relatively improved by 13.2%. This paper discusses the innovation of journalism education under the background of informatization. In this paper, through the investigation of journalism college students' analysis of the problems existing in the current education and the synthesis of their suggestions, it is more prominent that 90% of them believe that improving teaching methods is the most important. Senior students have more prominent opinions on the issue of practical teaching. Practical teaching has become an important part of higher education with Chinese characteristics. It is an important way to guide students to integrate theory with practice and cultivate students' comprehensive quality and innovative consciousness.
Empirical Correlations for K-Values of Crude Oils
Authors: Flores-Cano Jose V. , Aguilar-Madera Carlos G. , Herrera-Hernández Erik C. , Espinosa-Paredes G. , Ruelas-Leyva Jose P. , Matías-Pérez Victor , Briones-Carrillo Jorge A.
Published: August 2022

Based on the Soave–Redlich–Kwong equation of state, empirical correlations for the

K

-values of

N

2

,

CO

2

,

H

2

S

,

C

1

, and

C

2

are proposed. Complementarily, the binary interaction coefficients involving the plus fraction,

C

7
+

, were optimized by fitting into 131 experimental data from the literature. The criterion to select the form of the empirical correlations was based on the identification of the major dependencies of the equilibrium constants on the system variables (e.g., pressure, temperature, and composition). For most of the experimental data, the saturation pressure calculated via the empirical correlations is in excellent agreement with those reported from the laboratory. The empirical correlations cover a variety of temperatures (128–314°F), pressures (313–6880 psi), and compositions (N2: 0.0–1.67%; CO2: 0.0–9.11%; H2S: 0.0–3.68%; C1: 5.63–74.18%; C2: 0.84–12.45%; C7+: 10.72–83.2%). The proposed correlations are useful for rapid vapor-liquid equilibrium calculations during the compositional modeling of petroleum reservoirs.
[Retracted] Study on the Mechanism of Xiaotan Sanjie Recipe in the Treatment of Colon Cancer Based on Network Pharmacology
Authors: Wang Xiao-wei , Zhang Ci-an , Ye Min
Published: August 2022

The aim of the study is to investigate the mechanism of action of Disulfiram against colon cancer through a network pharmacology approach. The targets were then imported into the Cytoscape 3.7.2 software to construct a network of active ingredient targets and were imported into the STRING database to construct a protein‐protein interaction (PPI) network, and the Bisogenet plug‐in in Cytoscape 3.7.2 was used for network topology analysis. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the potential targets of Yiqi and Baiyu Tang for colon cancer using the R‐language Bioconductor platform, and the results were imported into Cytoscape 3.7.2 to obtain KEGG network relationship maps. Molecular docking software Autodock Vina was used to map the core targets to the active ingredients. A total of 119 chemical components and 694 disease targets were obtained, including 113 intersecting targets. The key targets included AKT1 and TP53, and GO functional analysis mainly related to ubiquitination and apoptosis, etc. KEGG analysis showed that the treatment of colon cancer with Ganchenzan mainly acted through cancer‐related signaling pathways such as AGE‐RAGE and P13K‐Akt, and the molecular docking results showed the best binding performance with TP53.
Application of Convolutional Neural Network Based on Deep Learning in College English Translation Teaching Management
Authors: Ma Fei
Published: August 2022

With the increased demand for English translators in recent years, more scholars and researchers have begun to focus on college English translation education. The demand for computers to perform automatic natural language translation is at an all-time high, presenting another potential for machine translation (MT) research. Although neural machine translation (NMT) technology has advanced significantly, it still has several flaws. The reply NN-based MT technology is not optimal in the field of long sentence translation, and there are situations such as missing translation and overtranslation. So this paper proposes college English translation based on a convolutional neural network (CNN). This paper proposes that CNNs have stronger feature extraction and information processing capabilities than other deep NNs. It successfully solves the situation of missing translation and overtranslation, lowering the quality of college English translation instruction. The experimental results of this research reveal that when the length of an English sentence grows longer, the translation accuracy based on the reply NN drops to 47.9%, while the translation accuracy based on the CNN is 89.7%. It can be seen that college English translation based on CNN can be integrated into English translation teaching as an innovation of traditional teaching methods, so as to create a learning environment for students and enhance learning effects. MT based on CNN has greatly improved students’ performance, which is conducive to improving the quality of college English translation teaching.