bluuebunny/crossref_metadata_2025 huggingface dataset:
Double Lung Transplantation for Idiopathic Pulmonary Fibrosis in a Patient with a History of Liver Transplantation and Prolonged Journey for Disease-Specific Antifibrotic Therapy
Authors: Majewski Sebastian , Królikowska Maria , Costabel Ulrich , Piotrowski Wojciech J. , Ochman Marek
Published: August 2022

Idiopathic pulmonary fibrosis (IPF) is characterized by uncontrolled progressive lung fibrosis with a median survival of 3 to 5 years. Although currently available pharmacotherapy cannot cure the disease, antifibrotics including pirfenidone and nintedanib were shown to slow disease progression and improve survival in IPF. Nevertheless, there is a knowledge gap on the safety of antifibrotics in patients after liver transplantation receiving concomitant immunosuppressive therapy. This case report of a 68-year-old male patient with IPF illustrates how a complex medical history has led to diagnostic and therapeutic challenges considerably affecting clinical decisions and impacting the patient’s journey. The increasing severity of lung function impairment due to the progressive natural history of IPF ultimately led to severe respiratory failure. Double lung transplantation (LTx) was performed as the only therapeutic option in end-stage disease with the potential to improve quality of life and survival. To the best of our knowledge, this is the first case report describing the feasibility and safety of antifibrotic therapy with pirfenidone for IPF in a 68-year-old patient with a history of liver transplantation receiving concomitant immunosuppressive therapy with tacrolimus who underwent successful double lung transplantation when alternative medical interventions had been exhausted.
Fundamentals of Breast Implant Illness and Device Imaging
Authors: de Faria Castro Fleury Eduardo , Brawer Arthur E.
Published: August 2022

The past six decades of silicone breast implant history encompass manufacturing secrecy, regulatory laxity, inadequate informed consent, clever advertising, overly simplistic research methodology, diverse and controversial opinions, changing social patterns, safety issues, information ambiguity, speculation, and deception. This review addresses the verifiable clinical, radiological, and pathological aspects of these devices, particularly with regard to silicone bleeding. This information can favorably assist practitioners and radiologists facing diagnostic challenges encountered in patients with silicone breast implants.
Estimating the Short-term Price Elasticity of Residential Electricity Demand in Iran
Authors: Rouhani Anise , Mashhadi Habib Rajabi , Feizi Mehdi
Published: August 2022

Excessive electricity consumption causes severe problems in the electricity sector and consequently in load curtailment. This paper estimates the short-term price elasticity of electricity demand for the Iranian household sector by monthly panel dataset. The estimated short-term price elasticity of electricity demand was −0.048. We use abrupt change in electricity price due to targeting subsidy on December 18th, 2010. The results show significant heterogeneity in electricity price elasticity between the various levels of consumption. Due to the heterogeneity of consumers’ electricity price elasticity, we can categorize residential consumers into four groups. Hence, policymakers are suggested to manage peak loads in the electricity network by estimating consumer responsiveness and reforming electricity pricing considering equality issues and tariff design.
Development and Validation of a Novel Circadian Rhythm‐Related Signature to Predict the Prognosis of the Patients with Hepatocellular Carcinoma
Authors: Wu Yumeng , Shen Cheng , Wang Xinghui , Zhao Wenjing , Li Yuanyuan , He Xiao , Chen Yuanbin , Liu Jibin , Wu Xuming , Shen Aiguo
Published: August 2022

Hepatocellular carcinoma (HCC) is one of the most important causes of cancer‐related deaths and remains a major public health challenge worldwide. Considering the extensive heterogeneity of HCC, more accurate prognostic models are imperative. The circadian genes regulate the daily oscillations of key biological processes, such as nutrient metabolism in the liver. Circadian rhythm disruption has recently been recognized as an independent risk factor for cancer. In this study, The Cancer Genome Atlas (TCGA) and Genotype‐Tissue Expression (GTEx) were compared and 248 differentially expressed genes (DEGs) of the circadian rhythm were identified. HCC was classified into two subtypes based on these DEGs. The prognostic value of each circadian rhythm‐associated gene (CRG) for survival was assessed by constructing a multigene signature from TCGA cohort. A 6‐gene signature was created by applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, and all patients in TCGA cohort were divided into high‐ and low‐risk groups according to their risk scores. The survival rate of patients with HCC in the low‐risk group was significantly higher than that in the high‐risk group (p < 0.001). The patients with HCC in the Gene Expression Omnibus (GEO) cohort were also divided into two risk subgroups using the risk score of TCGA cohort, and the overall survival time (OS) was prolonged in the low‐risk group (p = 0.012). Based on the clinical characteristics, the risk score was an independent predictor of OS in the patients with HCC. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that multiple metabolic pathways, cell cycle, etc., were enhanced in the high‐risk group. Using the metabolic pathway single‐sample gene set enrichment analysis (ssGSEA), it was found that the metabolic pathways in the high‐ and low‐risk groups between TCGA and GEO cohorts were altered essentially in the same way. In conclusion, the circadian genes play an important role in HCC metabolic rearrangements and can be further used to predict the prognosis the patients with HCC.
Integrating HIV-Associated Neurocognitive Impairment Screening within Primary Healthcare Facilities: A Pilot Training Intervention
Authors: Munsami Adele , Sibeko Goodman , Gouse Hetta , Nightingale Sam , Joska John A.
Published: August 2022

HIV-associated neurocognitive impairment (H-NCI) remains a common comorbidity, which may affect several key health outcomes among people with HIV. However, there are shortages of appropriately skilled healthcare workers able to identify and manage H-NCI in low- and middle-income countries. We conducted an exploratory, quasi-experimental, pre- and post-cohort training intervention in KwaZulu-Natal, South Africa. Thirty-four healthcare workers (two general medical doctors, twenty-two nurses, and ten adherence counsellors) from six facilities and a mobile clinic unit attended two, two-hour face-to-face, training sessions. The training included knowledge and skill transfer components. Pre- and post-knowledge questionaries demonstrated an improvement among 82% (n = 28) of the attendees from all three cadres. Knowledge was retained by 88% (n = 30) of the attendees after eight weeks. The H-NCI screening tools were administered with 78% accuracy. After eight weeks, two general medical doctors and eight senior nurses were able to accurately administer the tool. The Primary Healthcare H-NCI training was successful in improving knowledge among primary healthcare workers; however, several healthcare workers experienced challenges with administering such tools.
Development and Sensory Assessment of Ready-to-Eat Breakfast Cereal
Authors: Frimpong Theresa Gyamfuwah , Wireko-Manu Faustina Dufie , Oduro Ibok
Published: August 2022

There is a gradual change in the eating trend of Ghanaians. People now prefer convenient semiprocessed foods as breakfast meals to raw ones. These breakfast meals make use of cereals and grains, which often suffer postharvest losses. Thus, this study was aimed at adding value to these food crops by producing a nutritious convenient breakfast meal in the form of flakes using yellow maize and coconut as main food components. Five different formulations of percentages, maize against coconut (80/20, 77.5/22.5, 75/25, 72.5/27.5, and 70/30), were developed using the Design-Expert’s D-optimal design to produce the breakfast meals through drum drying and the products assessed for acceptability by consumer panel. Panellists rated the produced cereal high in overall acceptability during the sensory evaluation. The overall acceptability decreased with decreasing coconut percentage in the cereal product. The 70/30 formulation was most preferred by panellist. The protein, fat, ash, fibre, carbohydrate, and energy contents in all five formulations increased significantly after processing. Coliform count and Bacillus cereus counts were <10 cfu/g.
Impact of Periodontitis on Glycemic Control and Metabolic Status in Diabetes Patients: Current Knowledge on Early Disease Markers and Therapeutic Perspectives
Authors: Santonocito Simona , Polizzi Alessandro , Marchetti Enrico , Dalessandri Domenico , Migliorati Marco , Lupi Saturnino Marco , Cicciù Marco , Isola Gaetano
Published: August 2022

Diabetes mellitus and periodontitis are two of the most common chronic diseases affecting the world’s population, and they are intimately linked. For several years, in fact, it has been known that there is an interdependent relationship between the two diseases: Diabetes promotes the destruction of periodontal tissues, and periodontal disease negatively affects glycemic control. In relation to the control of dental plaque and oral dysbiosis responsible for periodontal disease, both nonsurgical and surgical therapy associated with proper home hygiene procedures have emerged as essential for good glycemic control. Moreover, several evidences suggest the essential role played by the control of periodontal disease in preventing the onset of the most common complications of diabetes: cardiovascular diseases, retinopathies, and other systemic diseases. The aim of this study is to update the current knowledge on the bi-univocal relationship between diabetes and periodontitis and the impact of therapy in the optimal management of these two disorders. From the information found in the literature, it has emerged that the correct treatment of periodontal disease in diabetic patients represents one of the main mechanisms and means currently established and valid to control periodontal disease and glucose metabolism and prevent the onset or development of diabetic complications.
Multisource Analysis of Big Data Technology: Accessing Data Sources for Teacher Management of Sports Training Institutions
Authors: Wang Yiting , Yu Le
Published: August 2022

In the information age, “mobile Internet,” “cloud computing,” “Internet of Things,” and “data mining” concepts are emerging at the same time, as well as other fields of related data-based applications. The mobile application will be born as a result. Therefore, in the information age, big data, which involves information in a specific key or specialized field, has gradually begun to receive a lot of attention in recent years. In 2011, the US consulting firm McKinsey and Company first proposed the arrival of the “era of big data” and in August 2015 in China’s State Council issued a notice of action outline “to promote the development of big data.” Meanwhile, big data has gradually become an important factor in driving national reform and innovation, promoting scientific and technological progress, improving the way society is managed, and guiding changes in education and research. Big data is driving a very influential shift in thinking in an era where big data is changing the way we live, becoming the way we understand the world, and gradually becoming the source of new inventions and services. At the same time, the rapid development of big data technology for physical education teachers needs big data for management and training and other institutional managers to provide more effective ways and means of education management, but up to now, the status of big data for management is still another serious challenge, sports and training and other institutions of big data and processing process of data nonintelligent, nonclosed-loop processing, data nonlinked processing, etc. Many problems are also still very obvious. According to the new characteristics of sports big data refinement management, the current situation of sports professional training institutions teacher management, combined with sports training institutions to find some more practical sports training institutions teachers big data management methods can effectively improve the efficiency of management, teacher team building, strengthen sports training institutions to improve the quality of teaching teachers, and promote the overall quality of students have a positive impact. In this paper, we combine the characteristics of “big data” and the construction of teachers in sports training institutions, and put forward some suggestions on how to improve the level of teachers in sports training institutions in the era of big data and conclude that the construction of teachers in sports training institutions should seize the key era now and enter the “|big data era.” We conclude that the construction of teachers in sports training institutions should seize the critical era and enter the “big data era,” so as to rely on science and technology to improve the construction system of teachers in sports training institutions.
Design and Implementation of Enterprise Financial Risk Control Information Management System Based on Big Data of Internet of Things
Authors: Ren Daowen , Wu Haiyan
Published: August 2022

The Internet of Things is a huge network. It is a combination of massive sensing devices and the Internet. In the Internet of Things, a large number of sensing devices are continuously collecting data and sending it to the data center. Data present massive characteristics, forming the big data of the Internet of Things. With the rapid development of informatization and network technology, almost all domestic enterprises have paid more and more attention to the research of enterprise network, informatization, and interactive experience. Under the background of the rapid development of e-commerce, the enterprise financial risk control information management system is bound to become the trend of information development. In the process of system analysis, this paper considers the sustainable development needs of the actual business of the enterprise financial risk control information management system and makes an in-depth study on the management and technology of the system development in strict accordance with the business process optimization and principles of the enterprise financial risk control information management system. This paper proposes to introduce the technology of Internet of Things into the enterprise financial risk control information management system, build the application mode framework of Internet of Things for enterprise asset management, and focus on the in-depth study of key technologies such as data collection and information transmission. The experimental results show that the time cost of sensor clustering is 1% of hierarchical clustering. In the worst case, the time cost of sensor clustering only accounts for 1/14 of hierarchical clustering.
The Comparison of PCR Kits for the Detection of Erythrocytic Parasites on Filter Paper
Authors: Tao Zhi-yong , Zhang Pei-yi , Zhang Lu , Li Chun-cao , Hu Rui , Zhu Han-wu , Zhou Bei , Wu Kai , Li Ling-xu , Yao Da-wei , Cao Yu-jie , Wang Dao-jin , Zheng Chen-chen , Fang Run-qi , Hua Xiu-min , Ni Yi-xuan , Jin Xiao-xia , Xia Hui , Fang Qiang
Published: August 2022

Dried blood spot (DBS) based PCR was considered an inexpensive and feasible method for detecting pathogens in the blood. The DBS carrier filter paper and PCR kits are crucial for accurate diagnosis. We evaluated 4 types of filter papers and 20 PCR kits for DBS samples. The PCR detecting Plasmodium results showed that the minimum detection limit of the 4 filter papers was 1 × 102 parasites/μL, and the positive rates of 20 PCR kits ranged from 0% to 100%. PCR results were satisfactory for detecting Plasmodium falciparum (P. falciparum) and Plasmodium. vivax (P. vivax) in archived DBS samples and Babesia gibsoni (B. gibsoni) in fresh pet DBS samples. Our results provided a useful reference for the detection of blood pathogens with DBS samples and direct PCR, especially for screening the cost-efficacy combination of filter paper and PCR kit in resource-limited areas.
Interactive Music Learning Model Based on RBF Algorithm
Authors: Liu Fengqin
Published: August 2022

With the development of art education and information technology, it is increasingly necessary to use computer technology and multimedia technology to assist teaching in the teaching activities of music subjects nowadays, so as to cultivate students’ independent inquiry ability and drilling ability. The design of an interactive teaching music intelligence system based on artificial intelligence is studied, and a music learning model based on the RBF algorithm is proposed, which helps to enhance students’ inquiry ability and also plays the leading role of teachers. By teaching each other, students become the main subject of teaching and learning, and it stimulates students’ enthusiasm and learning awareness of music learning.
Rainfall & Seismological Dump Slope Stability Analysis on Active Mine Waste Dump Slope with UAV
Authors: Layek Shirshendu , Villuri Vasanta Govind Kumar , Koner Radhakanta , Chand Kapoor
Published: August 2022

Mine waste dump material has no economic value to the industry. Therefore, the mine waste is dumped, forming slopes. Mine waste dump slopes obtain 30% to 50% of the mining area. To reduce the land occupancy of these slopes, they are created with high altitudes. Hence, they are susceptible to failure. Slope stability analysis is a major aspect of geotechnical engineering. Slope stability analyses are mostly done with assumptions on the geometry. This is avoided in this paper with the usage of UAVs. The 3D model is created from UAV imagery of a coal mine in Raniganj coalfield, India. The model is fine‐tuned with the DGPS survey. Geotechnical data were collected and tested in the laboratory for various numerical analyses. An active mine waste dump slope is analyzed for slope failure. Earthquakes and rainfall cannot be controlled, and their effects on the stability of the mine waste dump slope were examined. The study extracted various factor of safety (FOS) analyses on static, seismic, and rainfall conditions. The seismic condition simulates a condition of the slope to be failed with low (0.948) FOS. However, rainfall condition predicts the slope to be more stable. The deformation pattern and magnitude of the slope failure are also discussed.
Malaria Infection, Parasitemia, and Hemoglobin Levels in Febrile Patients Attending Sibu Sire Health Facilities, Western Ethiopia
Authors: Bayisa Gobena , Dufera Mebrate
Published: August 2022

Background. Malaria is endemic in tropical and subtropical regions and causes up to one million deaths each year. It mostly affects sub‐Saharan African countries including Ethiopia. In Ethiopia, it was estimated that about 75% of the land and 68% of the population are exposed to malaria. The aim of the current study was to determine malaria cases, its impact on the level of hemoglobin, and parasitemia and predisposing factors among febrile patients who visited Sibu Sire Health Care centers. Methods. Institution‐based cross‐sectional study was undertaken from May to October, 2020. Febrile patients who visited Sibu Sire Health Care centers were purposefully selected as the target population for the present study. Blood samples were collected and thick and thin smears stained with Giemsa. Hemoglobin level was determined using HemoCue Hb 301. Structured questionnaire and SPSS statistical software were used to collect and analyze data. P value < 0.05 was stated as statistically significant. Results. The overall prevalence of malaria was 168/979 (17.2%) out of which Plasmodium falciparum was 132/168 (78.5%), Plasmodium vivax was 27/168 (16.1%), and mixed infection was 9/168 (5.4%). To assess factors associated with dependent variable and determine the strength of association, binary logistic regression was used at adjusted odds ratios with 95% confidence intervals. The associations between malaria cases, hemoglobin levels, and parasitemia were estimated to evaluate the impacts of malaria on hemoglobin levels and parasitemia level. Out of 979 febrile patients (male 453 and female 526), 168 (male 99 and female 69) individuals were infected with Plasmodium species and Plasmodium falciparum were the predominant parasites. The majority of the study participants 144/168 (85.7%) were from rural residences. Highest malaria‐infected patients 74/168 (44%) were aged between 15 and 30 years old. The level of hemoglobin and parasitemia was highly associated with malaria cases; hence, in this study area, intensities of hemoglobin and parasitemia are significantly associated with Plasmodium species. Conclusion. There was a moderate prevalence of malaria parasitemia and hemoglobin level among patients visiting Sibu Sire Health Care center; however, it needs further intervention to prevent and control malaria transmission in this malaria hotspot area.
Determination of Gypenoside A and Gypenoside XLIX in Rat Plasma by UPLC-MS/MS and Applied to the Pharmacokinetics and Bioavailability
Authors: He Yan , Liang Qishun , Luo Lvqi , He Yifan , Huang Xueli , Wen Congcong
Published: August 2022

In this work, a UPLC-MS/MS method was developed for the determination of gypenoside A and gypenoside XLIX in rat plasma. For chromatographic separation, a UPLC BEH C18 column was employed, the mobile phase comprised acetonitrile: water (w/0.1% formic acid), and the elution time was 4 min. Detection of each compound was enabled by electrospray ionization in negative-ion mode, and quantitative analysis was enabled by operating in multiple reaction monitoring (MRM) mode by monitoring the transitions of m/z 897.5⟶403.3 for gypenoside A, m/z 1045.5⟶118.9 for gypenoside XLIX, and m/z 825.4⟶617.5 for the internal standard. The calibration curves for gypenoside A and gypenoside XLIX demonstrated excellent linearity (r > 0.995) over the range of 2–3000 ng/mL. The intraday and interday precisions of gypenoside A and gypenoside XLIX were within 14.9%, the intraday and interday accuracies ranged from 90.1% to 113.9%, the recoveries were all greater than 88.3%, and the matrix effect ranged from 87.1% to 94.1%. The developed method was successfully applied in the determination of the pharmacokinetics of gypenoside A and gypenoside XLIX. Gypenoside A and gypenoside XLIX had very short half-lives in rats, with oral t1/2z of 1.4 ± 0.2 h and 1.8 ± 0.6 h, respectively, and low bioavailabilities (0.90% and 0.14%, respectively).
Mathematical Methods on Optimal Frequency Selection Model for Wireless Communication Transmission Signal under 5G Internet of Everything
Authors: Yu Qing
Published: August 2022

Adaptive 5G communication has been accelerated thanks to the catalytic advances in the stable Internet of Things (IoT) which is a growing industry. This essay examines the impact of IoT, describes the evolution of the Internet under beneficial 5G communications, and explores 5G adaptive exchange and coordinating IoT advances. The reproduction evaluation was compatible with the evolution of telephone breathing, and developments in base station rigidity lowered base station energy consumption and club energy under the specification of ensuring communication quality, which means to further reassure compatibility. According to research, in a thick and uniform client course condition, power consumption has dwindled due to the extension of force use, but it has fundamentally improved and the correspondence quality has increased beyond what many would imagine achievable. It can ensure the client’s reasonableness and plan ability to execute, as well as fulfill the rate requirements of a variety of clients. The quick outcomes greatly test the speculative accuracy examination.
A Method for Evaluating the Quality of Mathematics Education Based on Artificial Neural Network
Authors: Bao Fuli , Wang Chong
Published: August 2022

Teaching quality evaluation (TQE) is an important link in the process of school teaching management. Evaluation indicators and teaching quality have a complicated and nonlinear connection that is influenced by several variables. Some of these drawbacks include too much subjectivity and unpredictability, difficulty in defining index weights, sluggish convergence, and weak computer capacity. The current assessment techniques and models have these issues as well. This research uses an ANN model to assess the quality of mathematics instruction at colleges and universities (CAU) in order to address the challenging nonlinear issue of TQE and completes the following tasks. (1) The background and significance of TQE research are analyzed, and the domestic and foreign research status of TQE and neural network is systematically expounded. (2) The technical principle of DNN is introduced and the DDAE-SVR DNN model is constructed, and then, the evaluation index system of mathematics teaching quality is constructed. (3) The DDAE-SVR DNN model is put out as a potential alternative. The Adam method is used in the unsupervised training process to dynamically modify the learning step size for each training parameter. The spatial properties of the original data may be modified several times such that the reconstruction can be completed after many hidden layers have been applied. Data essentials such as precision, accuracy, and consistency are prioritized above all other considerations when generating the final product. Unsupervised prediction uses SVR and maps the complicated nonlinear connection into high-dimensional space in order to attain linearity in low-dimensional space, which is the goal of the supervised prediction process. The usefulness and benefits of the model provided in this research in the mathematics TQE may be verified by tests including the use of the TQE dataset and comparisons with other shallow models.
Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks
Authors: Thavorn Jakkrit , Muangsin Veera , Gowanit Chupun , Muangsin Nongnuj
Published: August 2022

A clearer understanding of research streams and players involved in efforts to address the sustainability of global food and agricultural systems is needed to clarify the current state of scientific knowledge and form collaborations to pursue future research directions. This study presents new insights into this issue through a scientometric process involving a case study of technologies for extending fruit shelf-life. The text mining software was utilized to analyze 3,131 Web of Science-indexed articles published between 2000 and 2020 as a means to glean the conceptual structure of current knowledge and conduct a social network analysis to explore scientific and publication activity. The findings were mapped onto a strategic diagram of research productivity and collaboration between players at the national, organizational, and individual levels. This research’s main findings highlight that research on shelf-life technology is in continuous development, and academic institutions from China, Spain, and the U.S. are the core national players in this field. The results provide insights for further investigation to strengthen co-research and technological development programs in other fields. Researchers who are exploring networking opportunities can use the model and process presented as a guideline for identifying emerging and future research trends and formulating strategies.
Design and Implementation of Software Engineering Network Teaching System Based on CS Mode
Authors: Zhang Tianyi
Published: August 2022

With the rapid development of computer network technology, all aspects of human life have begun to show a trend of networking and intelligence, and the education industry is no exception. This study wants to improve the quality of classroom teaching and student performance. Through demand analysis, this paper understands the teaching characteristics of software engineering and the shortcomings of the original teaching methods and develops a comprehensive network teaching system (TS). This article introduces the framework design of the system around screenshots, electronic whiteboards, and image compression schemes; starting from three aspects of teaching courseware, exercise library, and teaching practice, it illustrates the advantages of intelligent and personalized teaching. From the experimental data, it can be seen that the excellent performance rate (score>80) of students who study software engineering courses through the network TS after one semester is 75.56%, which is compared with the 46% excellent rate in the class using traditional methods. It can be seen that an intelligent and personalized network TS can play an excellent role in stimulating students’ enthusiasm for learning and improving students’ academic performance in practice.
An Online English Writing Evaluation System Using Deep Learning Algorithm
Authors: Wang Pei , Huang Xinyi
Published: August 2022

In English writing, automatic evaluation systems are becoming more and more common and are receiving more and more attention. As a teaching application, an automatic evaluation system uses information technologies such as corpus and artificial intelligence to quickly score and modify students’ writing. To expedite the realization of teaching information, this system records students’ writing processes, which are closely related to the instruction requirements of the college’s English program and meets the personalized needs by combining the current situation of English writing and teaching. This study investigates the impact of field cognitive style and automatic evaluation system on college writing training. From the perspective of cognitive style differences, this paper summarizes the application strategies of an automatic evaluation system in College English writing and teaching, to better realize the integration of information technology and subject teaching and improve students’ English writing ability and level. The deep learning-based system for grading students in the classroom is completed by this paper. The network data transmission module allows several ends to all experience stable data interaction.
Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality
Authors: Anzelmi Alex , Khalil Yasser , Matsumura Martin E.
Published: August 2022

Background. Perioperative myocardial injury (PMI) following noncardiac surgery is associated with a high risk for mortality, and readmission within 30 days of PMI increases this risk. Identifying risk factors for readmission among survivors of PMI is critical to improving outcomes in PMI. We examined risk factors for readmission following discharge after surgery complicated by PMI and the effect of readmission on 1-year mortality. Methods. The study is a retropective cohort analysis of patients diagnosed with PMI in a single health system over a 10-year period. Univariate predictors of readmission were used to construct a multivariable logistic regression model. Mortality was assessed using Kaplan–Meyer survival analysis. Results. Of the 207,729 surgical patients, 5159 (2.5%) had PMI. By 30 days following PMI, 1254 patients (24.3%) died, 1142 (22.2%) were readmitted but alive at 30 days, and 2763 patients (53.5%) were alive and had not been readmitted. Readmitted patients were older, had higher peak troponin levels, and were more likely to have prior coronary, neoplastic, lung, and kidney disease. Multivariable logistic regression revealed increasing age and peak troponin, prior cancer diagnosis, and chronic lung and kidney disease as independent predictors of readmission. Readmitted patients had higher 1-year mortality than those not readmitted (33.9% vs. 22.2%,

p
<
0.001

). Conclusions. Readmission following PMI is associated with increased mortality in the following year. Patients suffering from PMI who are at risk of readmission are older, have a greater extent of myocardial injury, and are more likely to have chronic comorbidities. Identification of patients at risk of readmission following PMI is critical to improving both outcomes and utilization of hospital resources.
Study on Aircraft Cockpit Function Based on Neural Network
Authors: Xu Zhengqian , Sun Youchao
Published: August 2022

With the rapid development of numerous airlines, various trend designs have been implemented to develop cockpit interiors for pilots. When communicating with most pilots, they express their emotional feelings about the cockpit. The performance-enhanced cockpit provides the pilot with a better emotional experience, further enhancing the comfort and pleasure of driving. Therefore, it is necessary to provide a cockpit with good performance. Therefore, this paper proposes a novel Neural Network-based Balanced Optimization Algorithm (NN-EOA) for cockpit emotion recognition. The proposed NN-EOA technique simulates quantitative computation with high accuracy and minimizes the error rate during evaluation. Here, images of the interior cockpit design were assessed on four emotional terms, namely, user-friendly (interactive), precise (precise), traditional (traditional), and neat (tidy). Finally, experimental results are performed on various parameters, namely, the mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE) for various techniques. From the experimental evaluations, it can be seen that the proposed NN-EOA provides high agreement rates in the experimental group with the smallest MAE, MAPE, and RMSE.
Current Ethanol Production Requirements for the Yeast Saccharomyces cerevisiae
Authors: da Silva Fernandes Flávia , de Souza Érica Simplício , Carneiro Lívia Melo , Alves Silva João Paulo , de Souza João Vicente Braga , da Silva Batista Jacqueline
Published: August 2022

An increase in global energy demand has caused oil prices to reach record levels in recent times. High oil prices together with concerns over CO2 emissions have resulted in renewed interest in renewable energy. Nowadays, ethanol is the principal renewable biofuel. However, the industrial need for increased productivity, wider substrate range utilization, and the production of novel compounds leads to renewed interest in further extending the use of current industrial strains by exploiting the immense, and still unknown, potential of natural yeast strains. This review seeks to answer the following questions: (a) which characteristics should S. cerevisiae have for the current production of first- and second-generation ethanol? (b) Why are alcohol-tolerance and thermo-tolerance characteristics required? (c) Which genes are related to these characteristics? (d) What are the advances that can be achieved with the isolation of new organisms from the environment?
E-Commerce Sorting Equipment and System Based on Cloud Computing
Authors: Chen Lei
Published: August 2022

In order to solve the problems of order reduction and customer churn caused by sorting delays, the author proposes a method for e-commerce sorting equipment based on cloud computing. This method mainly adopts double-layer sorting equipment; compared with single-layer automatic sorting equipment, double-layer sorting equipment has the characteristics of higher efficiency and smaller floor space. The sorting method adopts the “group sorting” method, which can effectively improve the sorting efficiency of the sorting equipment. The algorithm method adopts the mathematical model based on cloud computing for calculation. Experimental Results. The author adopts the cloud computing-based “composition sorting” double-layer sorting equipment; compared with the traditional single-layer sorting equipment, the throughput of the single-layer sorting strategy is 0.72 pieces/s when the conveying speed of the conveyor belt is the same, the throughput of the two-layer same-direction strategy is 1.46 pieces/s, the throughput of the balanced load strategy is 1.97 pieces/s, and the throughput of the group sorting load strategy is 2.57 pieces/s. This method can effectively solve the problems of order reduction and customer churn caused by sorting delays.
Application of GPS Measurement Technology and Computer Technology in Visual Construction Simulation of Construction Engineering
Authors: Hu Xiaowen
Published: August 2022

The traditional construction engineering survey has many construction problems, but also may produce large error, leading to the measurement results that cannot meet the actual requirements of the project. In this paper, a new measurement technology is proposed from the aspects of determining the angle and distance of GPS laser scanning, stitching and registration of surveying and mapping data, and GPS measurement of building engineering structures. The test results show that the measurement coincidence rate decreases with the increase of construction time. We can also obviously find the changes of visibility of different frequency points in middle and high frequency bands. The visibility of middle and high frequency band is less sensitive to construction than that of low frequency band. This method has high accuracy and can provide high accuracy for future construction and data storage. Throughout the current situation of the whole construction industry, people need to find a scientific, feasible, and efficient way to solve the problem of low efficiency and serious waste of resources. With the development of GPS measurement technology and computer technology, information technology has been deeply into various industries, such as manufacturing industry, aerospace industry, etc., through electronic information means to optimize the production technology and process, so that the production efficiency and quality have been significantly improved. Similarly, we can apply GPS measurement and computer technology to the construction industry, achieve scientific construction project management, standardize engineering technology standards, and finally achieve the ideal effect.
Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode
Authors: Tian Chao , Zhou Qian , Yang Bin
Published: August 2022

Computers and network information technology are changing our production and lifestyles and at the same time profoundly affecting the development of education. Higher education informatization focuses on the integration of information technology and higher education. It is necessary to comprehensively deepen education reform and innovate teaching methods and promote the overall improvement of education. This article aims to explore the innovative path of teaching reform based on college football training based on the current situation of college football teaching. Using literature research and questionnaire surveys, physical education teaching focuses on the unification of theory and practice. Both are indispensable. Mixed teaching is more in line with the teaching laws of physical education disciplines. It inherits the advantages of e-learning (i.e., the Internet online learning mechanism). Free from the constraints of a single online learning mode, this article designs a football training reform and innovative teaching experiment, using smart sensor technology to detect the body posture control of students participating in football teaching and training, and using questionnaires to track the nutritional adjustment of the students participating in the experiment. Through the football training scores and physical fitness index data of students in the teaching experiment, the application effect of football teaching and training reform in this research is analyzed. Experiments show that with a 95% confidence level, the football teaching and training reform program of this research can improve the football training effect of students. Colleges and universities currently pay more attention to football catching and offensive practice, especially the offensive practice accounts for 68.2%. Therefore, it has important practical value and theoretical significance to study the mixed teaching effect of using MOOC resources in football teaching. The use of blended teaching can cultivate students’ autonomous learning ability, make students transform from passive learning to active learning, stimulate students’ learning motivation, and enable students to have a strong interest in football.
In Vitro and In Vivo Analysis of the Effects of 3D‐Printed Porous Titanium Alloy Scaffold Structure on Osteogenic Activity
Authors: Xu Zhenchao , Zhang Yilu , Wu Yunqi , Zhang Zhen , Jiang Dingyu , Jia Runze , Wang Xiyang , Liu Zheng
Published: August 2022

The effect of titanium scaffold geometry on the bone regeneration ability of the scaffold remains unclear. Here, selective laser melting as a 3D printing technology was used to create porous titanium alloy scaffolds with two unit structures: a hollow hexagonal prism (group A) and a hollow triangular prism (group B). The structures and morphologies of the scaffolds were characterized before mechanical properties were simulated. Cell adhesion behaviors, osteoblast activity and proliferation, and alkaline phosphatase (ALP) activity were evaluated, in addition to in vivo testing in an animal model. The results showed that the two scaffolds made of Ti6Al4V had compression moduli similar to that of human cortical bone (116.91 ± 0.01 and 174.29 ± 2.21 MPa vs. 89–164 MPa). The two scaffolds were nontoxic to cells and had good biocompatibility, while group A scaffolds facilitated cell adhesion. The number of cells increased gradually in culture. The ALP activity of cells on group A scaffolds demonstrated higher osteogenic ability than that of group B scaffolds. The in vivo tests showed that all scaffolds retained their shape well after implantation, and no obvious inflammatory reaction or infection in surrounding tissues was found. Based on fluorescence staining, mature new bone formation was found at week 12. Group A scaffolds showed better bone integration ability compared with group B scaffolds. The percentage of new bone area in group A (7.5%) was higher than that in group B (6.5%). This research suggests that the hollow hexagonal prism structure of porous scaffolds can promote osteogenic differentiation and osseointegration better than the triangular prism structure.
Remote Control and Fault Diagnosis of Port Mechanical Equipment Based on Wireless Communication Technology
Authors: Tu Yu
Published: August 2022

In order to solve the problem that there is a huge amount of port machinery operating state data, the traditional fault diagnosis method is difficult to effectively obtain the mechanical fault information from the massive data and also cannot accurately diagnose the fault. This paper presents a fault diagnosis method for port machinery based on the FastAP algorithm. By analyzing the characteristics of the FastAP algorithm, the algorithm is introduced into port machinery fault diagnosis, and a port machinery fault diagnosis model based on FastAP is proposed. Through simulation experiments, the algorithm and its application in port machinery fault diagnosis are verified. The experimental results show that compared with the standard AP algorithm, the FastAP algorithm performs well in the sum of similarity, clustering accuracy, and clustering calculation time and has better performance, which is more suitable for fault diagnosis. The fault diagnosis method based on the FastAP algorithm has a high diagnosis accuracy of port machinery fault, reaching more than 92%, and can accurately diagnose the normal state, inner and outer ring fault state, and rolling element fault state of the actual port mechanical belt conveyor. The research on remote control and fault diagnosis of port machinery equipment based on wireless communication technology can effectively solve the problem that there is a huge amount of port machinery operating state data, and the traditional fault diagnosis methods are difficult to effectively obtain mechanical fault information from the massive data and thus cannot accurately diagnose the fault.
5G Millimeter Wave Endfire Array Antenna with Printed Inverted-F Structure
Authors: Feng Shang , Xin Xu , Chuxuan Ren
Published: August 2022

In this design, a novel inverted F antenna with a low profile feed structure is proposed for millimeter-wave (mmW) applications. The array element consists of a printed inverted F antenna and a L-shaped parasitic deflector, approximately forming a structure similar to the Yagi-Uda antenna. The gain could be increased and the impedance bandwidth could be broadened by the structure. And, it is important to realize the miniaturization of the antenna element by bending the parasitic deflector based on the traditional deflector without affecting the performance. The proposed antenna has a low feed substrate height (0.254 mm∼0.02λ0), which makes it easy to integrate with planar circuits. As proof, a 1 × 4 array model with an impedance bandwidth of 20.5% (23.0–28.3 GHz) is designed and measured. The inverted F array demonstrated is an important candidate for mmW applications due to its wide bandwidth, miniaturization, ease of integration with planar circuits, and low manufacturing cost.
Causal Association of Thyroid Signaling with C-Reactive Protein: A Bidirectional Mendelian Randomization
Authors: Li Tingting , Geng Haigang , Wang Yuquan , Wu Zhaorong , Yang Siqian , Hu Yue-Qing
Published: August 2022

Context. Existing literature demonstrated that thyroid-stimulating hormone (TSH) and free thyroid hormone (fT4) were associated with the C-reactive protein (CRP), an inflammatory risk factor of cardiovascular diseases (CVD), but the causal relationship between them remained unclear. Methods. Based on the latest genome-wide association study summary data, bidirectional two-sample Mendelian randomization (MR) was employed to detect the causal relationship and effect direction between TSH, fT4, and CRP. Furthermore, in view of obesity being an important risk factor of CVD, obesity trait waist-hip ratio (WHR) and body mass index (BMI) were treated as the research objects in MR analyses for exploring the causal effects of TSH and fT4 on them, respectively. Results. Genetically increased CRP was associated with increased TSH (

β
=
−
0.02

,

P
=
0.011

) and with increased fT4 (

β
=
0.043

,

P
=
0.001

), respectively, but there was no evidence that TSH or fT4 could affect CRP. In further analyses, genetically increased TSH was associated with decreased WHR (

β
=
−
0.02

,

P
=
3.99
e
−
4

). Genetically increased WHR was associated with decreased fT4 (

β
=
−
0.081

,

P
=
0.002

). Genetically increased BMI was associated with increased TSH (

β
=
0.03

,

P
=
0.028

) and with decreased fT4 (

β
=
−
0.078

,

P
=
1.05
e
−
4

). Causal associations of WHR and BMI with thyroid signaling were not supported by weighted median analysis in sensitivity analyses. Conclusion. TSH and fT4 were increased due to the higher genetically predicted CRP. WHR was decreased due to the higher genetically predicted TSH. These findings will provide reference for the prevention and treatment of inflammation and metabolic syndrome.