bluuebunny/crossref_metadata_2025 huggingface dataset:
Internet of Things-Based Fire Alarm Navigation System: A Fire-Rescue Department Perspective
Authors: Ehsan Ibtisam , Mumtaz Asia , Khalid Muhammad Irfan , Iqbal Jawaid , Hussain Saddam , Ullah Syed Sajid , Umar Fazlullah
Published: September 2022

In the past few years, fire alarm systems have become increasingly sophisticated and more capable and reliable. The two main objectives are the protection of life and property. As a result of state and local codes, fire protection has become more concerned with life safety over the past two decades. Several safety measures have been implemented to address the problems caused by the fires and reduce the number of fatalities and property damage. Our project is to develop and review a fire alarm navigation system and application that uses the internet of things. Fire alarm systems are designed to warn people about fires in advance so that they can evacuate the fire-affected area and take immediate action to control the fire. There will be a GPS module, a flame sensor, a smoke sensor, buzzers, LEDs, and a GSM module to ensure early notification to authorities and fire stations. The aim is to reduce the loss of lives and property. A questionnaire was designed to conduct a brief survey in a multinational sports production company in Sialkot, Pakistan, regarding the IoT fire alarm navigation system. Besides installing the system in the factory, we compare the results with fire incident response time with and without this system at rescue 1122 fire head station.
Application of Artificial Intelligence-Based Big Data AI Technology in Physical Education Reform
Authors: Cao Feng , Lei Ming , Lin Sen , Xiang Maojuan
Published: September 2022

Nowadays, physical education teachers are constantly accepting and absorbing the concepts and ideas of the new curriculum standards, but there are still problems in understanding the new curriculum standards, the selection of teaching content is single, and the content is outdated. In addition, the teaching content and teaching methods of physical education also take the students’ test scores as the ultimate goal and have not really implemented the guiding ideology of “health first,” so the reform of physical education is imperative. This paper starts with the investigation of college students’ online courses and traditional classroom learning and analyzes what requirements these students who have received online courses have on university classrooms. Secondly, through in-depth observation of university classrooms, we can understand the current situation and existing problems of university classroom teaching. Based on the innovative characteristics and advantages of artificial intelligence big data AI technology, this paper designs a smart service platform for smart sports classrooms in colleges. The platform can timely find out the problems existing in the process of students’ physical education so as to solve them in time. Through the comparison between the experimental class and the control class, it is verified that the platform improves the reliability of PE classroom teaching. Judging from the practice density of the 25PE classes observed, the highest practice density reached 57.5%, and the average density was 41.6%. During the interview, we learned that the practice density of most physical education teachers in each class is controlled at about 45%, which is close to the average practice density obtained by the survey. This paper provides a practical basis for the reform of physical education teaching.
Exploring the Application of BIM Technology in the Whole Process of Construction Cost Management with Computational Intelligence
Authors: Tang Dan , Liu Kongling
Published: September 2022

The construction industry is a labor-intensive industry in China. In recent years, as people's living standards have risen, so have their requirements for the functionality, appearance, and comfort of buildings. The amount of information attached to construction projects is also increasing, especially for some modern large-scale construction projects. Due to the long construction period and a large amount of information in the construction process, the difficulty of project engineering management has also increased significantly. At the same time, with the gradual development and improvement of China’s market economy system, the prices of labor and materials in the construction industry continue to rise, and the huge consumption of energy and resources no longer meets the strategic requirements of sustainable development. Therefore, construction project cost management is facing a huge impact, the actual effect of construction project cost management work is not good, and the phenomenon of uncontrolled construction project investment commonly occurs. The use of BIM software to build a building information model can integrate information from all stages of the project and facilitate the participation and cooperation of all project entities. Cost management is carried out before the actual construction of the project, thus realizing the whole process of cost management and effectively avoiding the occurrence of actual costs exceeding the budget after the project is completed. The study analyses the suitability of applying BIM technology to the whole process of construction project cost management with computational intelligence and explains the value and advantages of BIM in the whole process of construction project cost management. On this basis, this research provides a specific analysis of the application of BIM technology in the process of cost management at various stages of the whole process of construction projects and thus puts forward suggestions that can solve the obstacles that may be encountered in the whole process of cost management of construction projects in China.
Optimizing Film Companies’ Marketing Strategy Using Blockchain and Recurrent Neural Network Model
Authors: Yu Yahui , Liu Jie
Published: September 2022

With the growing scale of the domestic film industry, the output of domestic films is also increasing. The design and execution problems in ticket marketing strategies adversely affect the revenue of domestic films. This paper aims to propose solutions to optimize film companies’ marketing strategies by analyzing the marketing environment and current situation to increase the income of domestic films. Firstly, the current situation of BJ’s marketing is analyzed, and the main problems are clarified. Secondly, the necessity and feasibility of applying blockchain technology to the operation and management of film companies are introduced. New marketing strategies and safeguards have been developed by analyzing the target market and optimizing the program. A quantitative method is used to predict a new movie’s box office in its premiere month. The proposed method introduces three factors affecting the box office: new film positioning, film marketing, and film prerating, as input variables. Besides, a Recurrent Neural Network (RNN) is implemented to predict the monthly box office of the premiere of new films. The results show that the predicted monthly box office of the movie adopting the optimized marketing strategy is 1,451,718.6 CNY, which is smaller than the target box office of 1414029.8. The Mean Absolute Error (MAE) is only 0.026. The proposed model’s Root Mean Square Error (RMSE) is 0.45 for the long-term prediction of a single movie price. The MAE is 0.106, and the accuracy is 0.80. The model proposed beats the unimproved Long Short-Term Memory (LSTM) model and the Autoregressive Moving Average (ARMA) model. This paper provides a reference for optimizing the film company’s marketing system.
Limbic Encephalitis following Allogeneic Hematopoietic Stem Cell Transplantation
Authors: Johansen Silje , Kråkenes Jostein , Vedeler C. A. , Storstein Anette Margrethe , Reikvam Håkon
Published: September 2022

A woman with myelodysplastic syndrome (MDS) was treated with allogeneic hematopoietic stem cell transplantation (allo-HSCT). 65 days after the transplantation, she developed fatigue and central neurological symptoms. Clinical workup including magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) examination revealed findings suspicious for limbic encephalitis (LE), successfully treated with intravenous immunoglobulins and intravenous corticosteroids. Although a rare complication after allo-HSCT, physicians should be aware of neurological symptoms that develop throughout the transplantation course.
A SuperLearner Approach to Predict Run-In Selection in Clinical Trials
Authors: Lanera Corrado , Berchialla Paola , Lorenzoni Giulia , Acar Aslihan Şentürk , Chiminazzo Valentina , Azzolina Danila , Gregori Dario , Baldi Ileana
Published: September 2022

A critical early step in a clinical trial is defining the study sample that appropriately represents the target population from which the sample will be drawn. Envisaging a “run-in” process in study design may accomplish this task; however, the traditional run-in requires additional patients, increasing times, and costs. The possible use of the available a-priori data could skip the run-in period. In this regard, ML (machine learning) techniques, which have recently shown considerable promising usage in clinical research, can be used to construct individual predictions of therapy response probability conditional on patient characteristics. An ensemble model of ML techniques was trained and validated on twin randomized clinical trials to mimic a run-in process within this framework. An ensemble ML model composed of 26 algorithms was trained on the twin clinical trials. SuperLearner (SL) performance for the Verum (Treatment) arm is above 70% sensitivity. The Positive Predictive Value (PPP) achieves a value of 80%. Results show good performance in the direction of being useful in the simulation of the run-in period; the trials conducted in similar settings can train an optimal patient selection algorithm minimizing the run-in time and costs of conduction.
LncRNA LINC02257: A Potential Biomarker for Diagnosis and Prognosis of Colorectal Cancer
Authors: Chen Mei , Li Changbing , Luo Qinghua , Tan Anhui
Published: September 2022

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality worldwide. However, efficient markers for CRC diagnosis are limited. Accumulating evidence reveals that long noncoding RNAs (lncRNAs) are related to the genesis and developments of many tumors. In this study, we aimed to explore the diagnostic and prognostic value of LINC02257 in CRC patients. TCGA datasets were utilized to examine LINC02257 expression in a variety of human malignancies. The Kaplan–Meier method analysis was then used to study the link between LINC02257 expression and patient prognosis. Multivariate assays were applied for the determination of the associations of the variables and patients’ survivals. RT-PCR was used to examine the level of LINC02257 expression in 14 pairs of clinical CRC tissues as well as many distinct CRC cell lines. CCK-8 assay was used to assess cell proliferation. We found that the expression of LINC02257 exhibited variable patterns of upregulation or downregulation in the various forms of cancer. In CRC, LINC02257 expression was distinctly increased in CRC specimens compared with normal specimens. The results of ROC curves revealed that the AUC was 0.886 (0.862 to 0.909, 95% CI,

p
<
0.001

) in a comparison between CRC specimens and matched normal specimens. Survival studies revealed that high LINC02257 expression was associated with shorter overall survival and disease specific survival. More importantly, multivariate assays confirmed that high expression of LINC02257 was an independent prognostic factor for CRC patients. The results of RT-PCR indicated that LINC02257 expression was distinctly overexpressed in both CRC specimens and cell lines. Functionally, silence of LINC02257 distinctly suppressed the proliferation of CRC cells. In conclusion, our research showed that LINC02257 is an intriguing candidate as a diagnostic and prognostic indicator for patients diagnosed with CRC.
[Retracted] Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases
Authors: Nan Rui , Zhu Wenjun , Xiao Yejing
Published: September 2022

Facing the dual background of risk society and the fourth scientific and technological revolution, digital emergency management (DEM) research has attracted wide attention worldwide. Based on the comparative analysis of data from Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, the research draws the knowledge map by CiteSpace, in order to analyse the spatiotemporal distribution, hotspots, and trends of DEM research. The following are the results: (1) DEM research shows a spiral growth, with a significant increase in the number of papers. Existing highly cited references are mainly carried out from the perspective of management or technology. (2) The complex countries’ cooperation network has been formed from the USA, China, and other countries; the complexity of the institutions’ cooperation network must be strengthened, and the density of the authors’ cooperation network is low; DEM research has significant interdisciplinary attributes. (3) The hotspots of DEM research can be divided into three categories: means, processes, and objects, but the research emphases between international and China are different. (4) The evolution of DEM research can be divided into three stages between international and China: embryonic, development, and deepening stages, and research contents in each stage show some differences. (5) The trends of DEM research between international and China are different. The former are information technology, artificial intelligence, and machine learning, whereas the latter are emergency decision making, scenario analysis, and public health.
Short-Long Term Load Prediction Based on GM-BP Model
Authors: Yuan Fang , Li Dong , Li Wencui , Wang Shenliang
Published: September 2022

With the continuous development of the smart grid, rational power planning can greatly increase economic benefits. The power load is affected by temperature, humidity, and other factors, which presents typical nonlinear and random characteristics. Therefore, a combined prediction model based on grey model GM (1, N) and BP neural networks is proposed, where GM is improved by weighting the original data, selecting appropriate initial conditions and self-adaptive optimizing model parameters, while PSO algorithm is used to automatically optimize the global optimization. Finally, an experiment is carried out based on the actual power load data of a certain area, and the results show that the proposed method realizes higher accuracy in load prediction, and has a stronger generalization ability for small samples and low SNR conditions.
An Assessment and Design of a Distributed Hybrid Energy System for Rural Electrification: The Case for Jamataka Village, Botswana
Authors: Samikannu Ravi , Oladiran Moses Tunde , Gamariel Gladys , Makepe Patricia , Keisang Ketshephaone , David Ladu Nyagong Santino
Published: September 2022

This research focuses on an assessment and design of a hybrid Photo Voltaic (PV)-wind system for rural electrification in Jamataka village, Botswana. The assessment revealed the most pressing factors for the need for reliable energy and the issues that the village community had with existing electricity sources. Hybrid Optimization of Multiple Energy Resources (HOMER) software was used to perform all the hybrid system configurations, simulations, and selections. The assessment research was carried out using questionnaires and physical data collection on site. With a peak load of 27.31 kW, the annual average demand is 165.29 kWh/day. The results show that the PV/wind/battery system generates the most economic and technical benefits, as measured by the Net Present Cost (NPC). Due to the high initial expenditures on renewable energy systems, the Levelized Cost of Energy (LCOE) of the system is 65 percent higher than the present energy cost in Botswana for households and 57 percent higher for companies. The International Renewable Energy Agency’s global report of renewable energy generation costs between 2010 and 2020 revealed a significant decrease, with utility-scale solar PV costs falling by 85% and onshore wind costs falling by 56 percent. As a result, the LCOE decreases as the cost of renewable energy decreases. Subsidies for renewable energy systems, on the other hand, can significantly reduce the LCOE.
Blockchain Powered Vaccine Efficacy for Pharma Sector
Authors: Sharmila  , Bhushan Shashi , Kumar Pramod , Garg Anuj Kumar , Nair Shyam
Published: September 2022

Infectious and contagious diseases exist in humanity for many centuries which causes a curb in the growth of the population. Immunization plays a vital role to prevent mortality and morbidity against infectious diseases. COVID-19 pandemic continues to rage the urgency of developing a vaccine that should ensure the safety, efficacy, swift and fair deployment, implementation, and monitoring of vaccines across the globe. In the present context, the vaccine production to immunization campaign is a critical challenge. Therefore, an effective vaccine supply chain mechanism is required to address issues such as counterfeit vaccines, reduce vaccine wastages, and vaccine record fraud. In this paper, a blockchain-enabled vaccine supply chain is proposed to ensure the correctness, transparency, trust, and immutable log and improve the efficiency of vaccine distribution in the cold chain. The uniqueness of the proposed system is to provide distributed system to verify the reliability and efficacy of the vaccine from production to end beneficiaries’ feedback about the vaccine. Our proposed system gives a clear view to the users as well as to the healthcare provider about the vaccination and ensures the anticounterfeit vaccine. The proposed system minimizes counterfeit vaccines and records, provides transparent communication between stakeholders in the supply chain, and improves the security of the vaccine supply chain and immutable feedback system about the vaccine.
Effect of Enhanced Recovery after Surgery (ERAS) Concept and Cluster Nursing on Psychological State and Pain of Oral Outpatients Undergoing Root Canal Therapy
Authors: Liu Bei , Xiong Mao , Liu Feng , Chen Wenyu , Jiang Shumei , Qu Meixiang , Mao Lixiang , Yi Genyun , Liu Xiongwei , Wang Yuehui
Published: September 2022

Objective. The effect of the concept of enhanced recovery after surgery (ERAS) and pain of patients undergoing root canal therapy in oral clinic. Methods. 200 participants in an oral clinic from March 2020 to March 2022 were enrolled in our study. The control group (

n
=
100

) accepted ERAS-based care and the research group (

n
=
100

) accepted ERAS concept and cluster nursing. Nursing satisfaction, comfort, self-efficacy, subjective well-being, self-rating anxiety scale (SAS), and self-rating depression scale (SDS) scores were compared. Results. The research group had 100% satisfaction rate; the control group had 87% satisfaction rate. After nursing, the scores of comforts and self-efficacy of the two groups increased and the scores of comforts and self-efficacy of the research group were higher than those of the control group. After nursing, the scores of subjective well-being of the two groups increased. Furthermore, the higher scores of life satisfaction, interpersonal harmony, and self-efficacy in the research group were found. There was no significant difference in the scores of SAS and SDS between the two groups before nursing (

P
>
0.05

), but after nursing, the scores of SAS and SDS in the two groups decreased, and the scores of SAS and SDS in the research group were lower than those in the control group, and there are statistically significant differences between the groups (

P
<
0.05

). The scores of visual analogue score (VAS) and numerical rating scale (NRS) following intervention decreased, and there are statistically significant differences between the groups (

P
<
0.05

). The less physiological, psychological, social functions, and health self-cognition in the research group were displayed, and there are statistically significant differences between groups (

P
<
0.05

). Conclusion. The adoption of the concept of ERAS and cluster nursing can effectively improve the psychological state and pain score of oral outpatients undergoing root canal therapy, improve comfort and self-efficacy, and enhance subjective well-being and quality of life. ERAS and cluster nursing is of great significance in relieving pain after root canal therapy in the outpatient department, reducing patients’ pain and improving patients’ quality of life.
The Tight Sand Reservoir Characteristics and Gas Source in Coal Measures: A Case Study of Typical Areas in China
Authors: Liu Zengqin , Guo Shaobin , Huang Yiming , Cao Zhe , Yeerhazi Talihaer· , Cao Weifu
Published: September 2022

Interbedded sandstones, shales, and coal seams were formed in marine-continental transitional environments of coal measures, and the gas source of its tight sand gas has been uncertain, which hinders the progress of natural gas exploration. This article uses the Longtan tight sand gas in west Guizhou as an example to investigate the reservoir features, gas charging history, and main source rock of tight sand gas by examining thin sections, scanning electron microscopy images, X-ray diffraction results, and the fluid inclusions with burial and thermal histories and noble gas analysis. The Longtan sandstones in this study are classified as litharenites which are characterized by low compositional and textural maturities, and high clay contents, and are distinguished petrographically from conventional sandstones by the extensive existence of micropores and microfractures. The results of the homogenization temperatures of the fluid inclusions show that the Longtan tight sand gas is a single-stage accumulation which occurred during the Late Triassic. Furthermore, through the analysis of the helium and argon isotopes of noble gases, a calculation model was established for determining the shale and coal contributions to the tight sand gas. The research results show that the Longtan tight sand gas mainly belongs to the crust-derived gas, mostly from the Longtan shale-derived contribution and to a lesser extent from the Longtan coal-derived contribution. The measured 40Ar/36Ar values of the Longtan shales and coals are consistent with the forecasted 40Ar/36Ar values from the calculation model, demonstrating that the model is viable to calculate the source rock contribution to the tight sand gas. Therefore, the Longtan shales as main source rocks can generate hydrocarbons to charge neighboring tight sandstones to form tight gas accumulation in the Longtan Formation, which provides an opportunity for tight gas development in west Guizhou.
The Effect of Mental Health Intervention before English Test on College Students’ English Test Scores
Authors: Sun Yan
Published: September 2022

It is necessary to pay attention to and study the physical and mental health development of college students. On the basis of statistical analysis of the questionnaire, this paper studies the impact of pretest mental health intervention on college students’ English test scores, summarizes the problems and characteristics of college students’ mental health, and explores the reasons for psychological problems. Based on the research results and related survey data of the mental health status of college students by scholars, this paper believes that these reasons mainly include students’ personal reasons, school and social environment pressure, and insufficient family support factors. The data analysis shows that in the relationship between English education and mental health in colleges and universities, the amount of mental health intervention of students’ extracurricular exercise has a stable and low negative correlation with the scores of each factor of SCL-90 (Symptom Checklist 90) and is negatively correlated with the scores of each subscale. The experimental results show that there are extremely significant differences in academic performance (

F
=
5.084

,

P
<
0.01

), and there is a certain linear relationship between students’ mental health level and students’ English exercise feeling. The lower the fatigue score, the higher the mental health level of the students, which effectively promotes the mental health development of college students.
[Retracted] Cross‐Media Narrative and Emotional Identity Mechanism of School Culture in Media Integration Environment
Authors: Jia Anmin
Published: September 2022

Cross‐media narrative of school culture is essentially different from emotional identity. We cannot just rely on students’ rote learning to achieve this teaching goal, but we must let students gradually deepen their learning experience in the learning process. As a new narrative form in the context of media convergence, its narrative strategy from the perspective of media convergence culture can promote the industrialization of IP cultural resources, such as content production, marketing and dissemination, and derivatives development. This paper mainly studies the cross‐media narrative and emotional identity of school education culture through wavelet transform algorithm. The research shows that the error rate of this paper is the lowest among the three methods, with the highest error rate of 46.8%, followed by the method of literature Sara 2018 with the highest error rate of 64.8%, and finally the method of literature Neate et al. 2017 with the highest error rate of 71.8%. It can be seen that this method is the most suitable for identifying the emotional characteristics of school education culture. Through wavelet transform, teachers can infiltrate the basic knowledge of Chinese into the cultivation of students’ emotions in the teaching process, which is conducive to students’ emotional edification, personality development, and self‐motivation.
Curcumin Improves Keratinocyte Proliferation, Inflammation, and Oxidative Stress through Mediating the SPAG5/FOXM1 Axis in an In Vitro Model of Actinic Dermatitis by Ultraviolet
Authors: Chen Quan , Tang Yi , Deng Huiyan , Liang Bihua , Li Huaping , Li Zhenjie , Zhu Huilan , Chen Lezi
Published: September 2022

Background. Chronic actinic dermatitis (CAD) is an abnormally proliferating photoallergic skin disease. Dysregulated inflammation and oxidative stress are the immediate factors in the abnormal proliferation of keratinocytes. This study aimed to investigate the effect of curcumin on the aberrant proliferation of keratinocytes in an in vitro (actinic dermatitis) AD model and the possible molecular mechanisms. Methods. The keratinocytes were irradiated with ultraviolet (UV) to construct an in vitro AD model and then processed with different concentrations of curcumin. Cell viability, oxidative stress markers (SOD, GSH-PX, and MDA), activated oxygen species (ROS), and inflammation markers (IL-1β, IL-6, IL-18, and TNFα) were determined, respectively. Western blot was applied to assay the profiles of apoptosis-related proteins (Bax, Bcl-xL, Caspase3, Caspase8, and Caspase9), oxidative stress proteins (Keap1, Nrf2, HO-1, COX2, and iNOS), and inflammatory proteins (NF-κB, MMP1, and MMP9) and SPAG5/FOXM1. Functionally, SPAG5 or FOXM1 overexpression and knockdown models were constructed in keratinocytes to characterize their influence on UV irradiation-mediated keratinocyte dysfunction. Results. Curcumin weakened UV-mediated inflammation, proliferation, and oxidative stress and impaired apoptosis in keratinocytes. UV boosted SPAG5/FOXM1 expression in cells, while curcumin concentration-dependently retarded SPAG5/FOXM1 expression. Overexpression of SPAG5/FOXM1 fostered UV-mediated inflammation, proliferation, oxidative stress, and intensified apoptosis, whereas curcumin mostly reversed the SPAG5/FOXM1-mediated effects. In addition, knocking down SPAG5/FOXM1 ameliorated UV-mediated keratinocyte dysfunction, whereas curcumin failed to exert further protective effects in cells with knockdown of SPAG5/FOXM1. Conclusion. Curcumin modulated proliferation, inflammation, oxidative stress, and apoptosis of keratinocytes by restraining the SPAG5/FOXM1 axis.
Problems and Countermeasures of China’s International Trade in Agricultural Products under the “Belt and Road Initiative”
Authors: Li Tianhua
Published: September 2022

To make China’s international trade in agricultural products develop more quickly and steadily, in this study, through the analysis of the development of international trade and the import and export of agricultural products under the strategy of “The Belt and Road (B&R),” in terms of agricultural products, the problems about the international trade in China are discussed. The results show that under the influence of “B&R,” China has established economic cooperation with many countries along the route. Even facing fierce international competition, it can promote the deep development of China’s international trade. Based on the discussion of the problems affecting the development of international trade of agricultural products in China, combined with the problems faced by the international development, in this study, the corresponding countermeasures are given, aiming to provide ideas for its future development. Therefore, the analysis of the development of international trade of agricultural products in China under the strategy of “B&R” has positive significance for finding the factors that affect the development of China’s agricultural products in international trade and also promoting the steady development of China’s international trade in agricultural products.
Improvement of Polyethylene Glycol, Sorbitol, Mannitol, and Sucrose-Induced Osmotic Stress Tolerance through Modulation of the Polyamines, Proteins, and Superoxide Dismutase Activity in Potato
Authors: Sajid Zahoor Ahmad , Aftab Faheem
Published: September 2022

The present study was planned to investigate the changes in morphological and biochemical parameters of in vitro-grown potato (cultivar Cardinal and Desiree) plants under osmotic stress conditions induced by various concentrations of sorbitol, mannitol (0, 0.025, 0.05, 0.10, or 0.15 M), sucrose (0, 2, 3, 4, 6, and 8%), and polyethylene glycol (PEG: MW-4000: 0, 5, 10, 15, and 20%). Nodal segments (ca. 1.0 cm) from healthy in vitro-grown potato plantlets were inoculated on Murashige and Skoog’s medium consisting of various levels of above mentioned drought stress-inducing agents. Data was recorded on 60th day of incubation exhibited a severe reduction in most of the growth parameters at 0.10 and 0.15 M of sorbitol and mannitol, respectively, and at 5–10% PEG. Similar results were observed when the sucrose level varied from 3% except for the number of roots and plant dry weight, which exhibited an increase in increasing the sucrose level. Data collected for total soluble protein content and activity of an antioxidant enzyme (superoxide dismutase) unveiled an overall increasing trend in osmotically stressed potato plants suggesting their major action in detoxification of active oxygen species produced under osmotic stress. Polyamines (putrescine, spermidine, and spermine) increased significantly in both the cultivars of potato by using osmotic stress-inducing agent in the present investigation indicating their positive role in stress alleviation. Overall results indicated that potato cultivar Desiree was more stress-tolerant than the cultivar Cardinal.
MRI-Based Medical Image Recognition: Identification and Diagnosis of LDH
Authors: Wang Shuai , Jiang Zhengwei , Yang Hualin , Li Xiangrong , Yang Zhicheng
Published: September 2022

To realize the automatic symptom recognition and classification of MR images and improve the accuracy and efficiency of the diagnosis of lumbar intervertebral disc herniation (LDH), a method for lumbar intervertebral disc recognition and disease classification is proposed in this paper. The method mainly includes three steps: preprocessing, target segmentation, and symptom classification. Preprocessing is performed by noise reduction and interference removal methods for blurred images. The contour poles are used to determine the four points of the tail vertebra in order to reduce the wrong segmentation of the tail vertebra. A classification method based on five judgment indicators is proposed, which effectively improves the stability of disease diagnosis. The example verifies that the algorithm can accurately complete the target segmentation and the accuracy of symptom classification reaches the standard of professional doctors, which proves that the method has good robustness.
Integrative Bioinformatics Analysis Reveals That miR-524-5p/MEF2C Regulates Bone Metastasis in Prostate Cancer and Breast Cancer
Authors: Tian QingHua , Lu YingYing , Yan BiCong , Wu ChunGen
Published: September 2022

Bone metastases are highly prevalent in patients with advanced prostate cancer and breast cancer and have a serious impact on the survival time and quality of life of these patients. It has been reported that microRNAs (miRNAs) are expressed abnormally in different types of cancer and metastases. However, it remains unknown whether the underlying miRNAs are associated with prostate and breast cancer bone metastasis. Differentially expressed miRNAs (DE-miRNAs) and their potential targets in the metastatic process were identified by bioinformatics analysis. Additionally, qPCR confirmed that the miR-524-5p expression was downregulated in prostate and breast cancer cells. The overexpression of miR-524-5p restrained cell proliferation, invasion, and metastasis in prostate and breast cancer cells. Meanwhile, miR-524-5p could target and inhibit the expression of MEF2C, which was verified by a luciferase assay. In conclusion, our data strongly suggest that downregulation of miR-524-5p appears to be a precocious event in prostate and breast cancer, and the miR-524-5p/MEF2C axis plays a novel role in bone metastases from prostate and breast cancers.
A Centralized Accounting Method of Enterprise Accounting Cost Based on Fourier Transform Algorithm
Authors: Fan Xiao’e
Published: September 2022

With the rapid development of the economy, the challenges faced by enterprises are becoming more and more severe. In order to enhance the core competitiveness of enterprises themselves, enterprises pay more and more attention to accounting cost accounting. However, for a long time, enterprises have been using traditional accounting costing methods, which greatly hampered the development of enterprises. The Fourier transform (FT) algorithm is a commonly used information transformation method, which can simplify the complex cost accounting process. Based on this, this paper proposes a centralized cost accounting method for enterprise accounting based on FT algorithm, aiming to fundamentally change the traditional cost accounting thought. The article first analyzes and summarizes the general characteristics of cost accounting methods. Then, starting from the cost centralized accounting method, the paper optimizes the traditional cost accounting formula by using the FT algorithm and proposes a new accounting cost-centralized accounting formula based on the FT algorithm. Finally, starting from the reality and taking W company as the research object, the article focuses on analyzing the application of the centralized accounting method of accounting cost relying on the FT algorithm in the production and operation activities of the actual enterprise. After a series of experiments and analysis, we found that the centralized cost accounting method of enterprise accounting based on FT algorithm has a very high degree of fit with the actual situation, and the accuracy of cost accounting is as high as 70.01%. Moreover, in the process of enterprise cost analysis, the quality of accounting information of enterprises has been comprehensively improved by 31.9%. This fully shows that the centralized accounting method of enterprise accounting cost based on the FT algorithm can bring certain economic benefits to the enterprise and optimize the internal resource allocation of the enterprise.
Optimization of Teaching Management Informatization Construction in Higher Vocational Colleges Based on the Distributed Control System
Authors: Zhang Yourui
Published: September 2022

The fast growth of the information age brings many conveniences to all trades and industries. In particular, the reasonable use of information technology in instructional administration can enhance teaching quality and accomplish double the result with half the work. However, there are still some shortcomings in optimizing the information construction of instructional administration. To this end, this paper researched and discussed the building and enhancement of teaching management informationization in higher education institutions based on the distributed control system. It first briefly analyzed the construction ideas of teaching management informatization. The informatization construction of teaching management needs to be guided by the concept of informatization management and reform the teaching management concept in the traditional sense. The feasibility analysis of the teaching management system of multilayer distributed structure is carried out, and the comprehensive evaluation of the distributed teaching management information is carried out. The experimental results of this paper show that the overall average score of vocational teachers’ informatization teaching practice is 3.59; in the level of teachers’ informatization teaching ability, vocational teachers’ informatization professional practice ability is the weakest, with a comprehensive score of 3.13. Based on the distributed gray comprehensive evaluation system, the comprehensive evaluation of education and teaching management informatization is obtained. The level of education informatization of A1 higher vocational colleges is leading, and A2 higher vocational colleges and A3 higher vocational colleges rank second and third. It shows that certain achievements have been made in the construction of vocational education informatization in Province A, but at the same time, there are some problems.
Approximate Hermite Interpolations for Compactly Supported Linear Canonical Transforms
Authors: Al-Abdi I. A.
Published: September 2022

There has been several Lagrange and Hermite type interpolations of entire functions whose linear canonical transforms have compact supports inℝ. There interpolation representations are called sampling theorems for band-limited signals in signal analysis. The truncation, amplitude, and jitter errors associated with the Lagrange type interpolations are investigated rigorously. Nevertheless, the amplitude and jitter errors arising from perturbing samples and nodes are not studied before. The aim of this work is to establish rigorous analysis of their types of perturbation errors, which is important from both practical and theoretical points of view. We derive precise estimates for both types of errors and expose various numerical examples.
[Retracted] The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major
Authors: Lu Yixia
Published: September 2022

As an emerging technology, public mental health based on artificial intelligence engineering has broad application and development prospects in improving teaching effects, realizing high efficiency and intelligence, and improving refined education. The application of public mental health based on artificial intelligence engineering in the practice of the teaching effect of business administration has a very positive significance for accurately discovering the mental health and teaching effect of business administration students. For the sake of improving the teaching effect of business administration major, we come up with a method for the influence of public mental health on the teaching effect of business administration profession based on artificial intelligence engineering. Firstly, we collect the video and audio of the teaching of business administration, conducts data screening and cleaning, and sorts out the video and audio synchronization clips as training data. Secondly, we propose a multimodal feature extraction network and a multimodal fusion network for the extraction and fusion of video and audio clips, respectively. Then, the fully connected network structure is used to evaluate and classify the effect of business administration professional teaching, and use mental health factors for evaluation to avoid human intervention and improve the prediction effect. Finally, through intensive experimental results, we prove that the method raised by us can use artificial intelligence engineering to evaluate the teaching effect of business administration majors from the perspective of public mental health and achieve good experimental results.
English Cross-Cultural Communication Teaching Based on Intelligent Image Sensor
Authors: Yue Na
Published: September 2022

English cross-cultural communication is crucial in global trade, technology circulation, and cultural exchange, because not only is the difference between different cultures in language, but the knowledge requirements for cross-cultural communication are even higher. However, in the decades of English teaching development, is still difficult for the research on cross-cultural communication teaching to get rid of the test-taking mode, which makes it difficult for most people to apply it to real life after learning English. In order to solve the problem that English learning is not thorough enough in cross-cultural communication and lacks practicality, this paper starts with the selection of intelligent image sensors, based on CMOS image sensors, sets the sensor parameters and characteristics, and builds multimedia teaching equipment at the same time. Through these methods, it forms an English teaching system for cross-cultural communication and proposes classroom teaching procedures and methods. After four months of teaching experiments with this system, the educated students have made remarkable progress in cross-cultural communication. They have improved to varying degrees in four aspects: cross-cultural communication skills, mastery of cultural knowledge, accuracy of English expression, and ability to adapt to cultural situations. Among them, the accuracy of English expression improved the most in different cultures, and the average score increased by 16 points. In terms of comprehensive performance, the average level of students improved by 17% from preexperiment to postexperiment. Therefore, the teaching system in this paper can help students to have better performance in cross-cultural English communication.
Pancancer Analysis of Revealed TDO2 as a Biomarker of Prognosis and Immunotherapy
Authors: Cui Jing , Tian Yongjie , Liu Tianhang , Lin Xueyan , Li Lanyu , Li Zhonghui , Shen Liang
Published: September 2022

Background. Tryptophan 2,3-dioxygenase (TDO) encoded by TDO2, a rate-limiting enzyme in the kynurenine pathway, catabolizes tryptophan to kynurenine, evades immune surveillance, and promotes tumor growth. Although accumulating evidence suggests a crucial role of TDO2 during tumor formation and development, systematic evaluation of TDO2 across human cancers has rarely been reported. Methods. To shed more light on the role of TDO2 in human cancer, we explored the expression profiles of TDO2 and identified its prognostic value in pancancer analysis through TCGA, CCLE, and GTEx databases. We further utilized TCGA data to evaluate the association between TDO2 and tumor immunological features, such as mismatch repair (MMR), tumor immune infiltration, immune checkpoint-related genes, tumor mutational burden (TMB), microsatellite instability (MSI), and DNA methyltransferase (DNMT). Results. TDO2 exhibited different expression levels in various cancer cell lines. Frequently, TDO2 was detected to be highly expressed in the majority of cancers. In addition, high TDO2 expression was correlated with an unfavorable prognosis for patients in KIRP, LGG, TGCT, and UVM. Moreover, high TDO2 expression level positively correlated with higher immune infiltration, especially dendritic cells. Additionally, there is a close relationship between TDO2 and immune checkpoint-related gene markers, such as LAIR1, CD276, NRP1, CD80, and CD86. Finally, correlation analysis has demonstrated a high-correlation between TDO2 and TMB, MSI, MMR, and DNMT of multiple cancer types. Conclusion. Therefore, our results suggest that TDO2 can function as a potential prognostic biomarker due to its role in tumor immunity regulation.
Risk Prediction of Maxillary Canine Impaction among 9‐10‐Year‐Old Malaysian Children: A Radiographic Study
Authors: Ismail Ahmad Faisal , Sharuddin Nur Farhana Auni , Asha’ari Nur Hafizah , Ali Mohd Adli Md , Zainol Iswan Zuraidi , Alotaibi Lamis Hejab , Mallineni Sreekanth Kumar
Published: September 2022

Background. Early diagnosis and interceptive treatment of the maxillary canine impaction is crucial as it reduces treatment complexity and decreases complications and adverse outcomes. Aim and Objectives. To determine the mean maxillary canine position among 9‐10‐year‐old children and predict the risk of impaction of the maxillary canines. Methodology. Panoramic radiographs (PANs) of 289 healthy children aged between 9 and 10 years were observed where the average position of maxillary canines was related to the lateral incisor, sector locations, and angulations to the bicondylar line were traced. The average position was obtained by using descriptive statistics. One sample Wilcoxon signed‐rank test is done to predict the risk of canine impaction by comparing the data obtained to the average position from prior studies. Results. A total of 289 PANs (126 males and 163 females) were utilized for the analysis. The findings showed that the average position of the maxillary canines in our population was statistically different from the average position of nonimpacted canines in previous studies. However, on average, more than 85% of canines in our population were still located within the safe range of satisfactory position, with females showing slight predominance outside of the acceptable range. The mean scores of the angles between the right canine and lateral incisor were significantly higher among females than males (p = 0.001). Similarly, females had a significantly higher mean angle of the left canine than males (p < 0.001). In regard to the angles between the bicondylar line and permanent maxillary canine, the mean scores were not significantly different (p > 0.05) on both the left and right side. Conclusion. There is a low risk of impaction of maxillary canines in the Malaysian population. However, more retrospective studies using more radiographic and clinical indicators need to be done to confirm the risk of impaction further.