syedzayyan/paper_mill_benchmark huggingface dataset:
Research on the Effect of Nursing Methods for Gestational Diabetes Mellitus Based on Comprehensive Nursing Intervention

In order to explore the effective way of gestational diabetes care, this paper applies comprehensive nursing to gestational diabetes care.In terms of nursing intervention for pregnant women with gestational diabetes mellitus, combining the phased changes of pregnant women’s physiological and psychological needs during pregnancy, this paper comprehensively implements health education, diet intervention, exercise intervention, pregnancy monitoring, psychological intervention, infection prevention, and perinatal monitoring and other nursing interventions in a selective and focused manner.This makes the intervention measures at each stage focused, intersecting, interpenetrating, and continuing to play a role, which can effectively improve the implementation effect of the intervention measures and better promote the effective improvement of pregnancy outcomes.In addition, this paper studies the effect of gestational diabetes care based on comprehensive nursing intervention through a controlled trial, and the study verifies that comprehensive nursing has a good effect in gestational diabetes care.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Research on the Construction of Deep Learning Based Innovation and Entrepreneurship Education System in the Internet Plus Era

In order to cultivate the innovative and entrepreneurial (iae) spirit of college students, let them introduce the concept teaching of internet + mass entrepreneurship and innovation while learning professional knowledge, and colleges and universities can provide an entrepreneurship platform to turn theoretical knowledge into practice.The school platform provides all the resources and funding sources needed by students to start their own businesses, and the students through the theory, knowledge, and wisdom combined use the school to provide a platform to achieve entrepreneurship.College iae education analyzes students’ entrepreneurship through deep learning and statistical data, and the superiority of the school internet + iae concept teaching and the entrepreneurship platform provided by the school is demonstrated through the number of entrepreneurship graduates, entrepreneurship motivation, entrepreneurship capital source, entrepreneurship recruitment, and entrepreneurship survival cycle of graduates in the three years’ class.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Research on the College Students’ Venture Risk Assessment Model Based on the LightGBM Algorithm

There are numerous risk factors in the school students’ entrepreneurial process.In order to advance the accuracy of school students’ entrepreneurial risk assessment within entrepreneurial practice background and reduce risk management factors, a model of school students’ entrepreneurial risk assessment grounded on the light gbm algorithm is proposed.We construct the statistical probability density distribution and constraint parameter model of college students’ entrepreneurial risk distribution in an entrepreneurial practice environment.Moreover, we adopt the factor hierarchical classification technology of the evaluation index system to realize the framework model construction and big data fusion processing of college students’ entrepreneurial risk indicators in the entrepreneurial practice environment.Then, we extract the joint similarity feature set of college students’ entrepreneurial risk factors in the entrepreneurial practice environment and adopt the light gbm feature detection and fuzzy matching technology.The self-adaptive optimization and fuzzy clustering analysis are realized in the procedure of school students’ entrepreneurial risk assessment under the entrepreneurial practice environment, and a fuzzy bayesian network assessment model for school students’ entrepreneurial risk assessment under the entrepreneurial practice environment is constructed.The delphi method is used to determine the pairwise influence relationship between factors, and the light gbm algorithm is used to optimize the evaluation of college students’ entrepreneurial risk factors under the entrepreneurial practice environment and match rough set features.According to the comprehensive evaluation of entrepreneurial risk factors, the intelligent entrepreneurial risk assessment under the entrepreneurial practice environment is comprehended.The simulation outcomes confirm that the intelligence of college students’ entrepreneurial risk assessment in the entrepreneurial practice environment is improved, and the precision of risk assessment is greater than other approaches.

Journal: Mobile Information Systems (2022)
Publication types: Research Article;
Research on Teaching Design of Geochemistry and Biology under the Background of Ecological Environment and Information Technology

The current social situation is that the rapid development of science and technology has brought about rapid economic growth, but the wanton development of ecological environmental resources, resulted in environmental deterioration, so that human survival faces major challenges.This is not only the current state of life but also an urgent problem that people will work together to solve.Therefore, in order to cultivate environmental awareness, make students intuitively and clearly understand the benign operation of ecological environment and the close relationship between people and the environment, this paper designs and studies the existing information technology to design biology teaching on the basis of the sustainable development of ecological environment and encourages students to strengthen the protection of the environment.This paper studied and designed the practical inquiry, analysis, and questionnaire survey.The experimental results show that the students in information technology teaching perform better than the traditional students, which can stimulate students’ enthusiasm, arouse their interest in learning, and deepen students’ understanding.The number of outstanding students increased by 5, and the number of failed students decreased by 8.The research significance of this paper is to provide new teaching design ideas for the existing biology teaching mode so that the development of information technology can benefit biology teaching.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Preoperative Cryopreservation Promotes Digital Survival after Digit Replantation

Cryopreservation has been applied in the replantation of limbs with a minimal amount of muscle tissue replanted.And small composite tissues have also been reported to be successfully replanted by preoperative cryopreservation.In this study, we aimed to study the effect of preoperative cryopreservation on digital survival after digit replantation.Accordingly, we collected and compared the demographic and clinicopathological characteristics of patients with digit injury of patients, and we observed no significant difference between the nt and cp patients of digital injury.We also investigated the records of successful digit replantation and other parameters which influenced the odds of digital survival of all recruited patients.Accordingly, we found that the number of survived digits was remarkably increased in patients in the cp group compared with that in patients in the nt group.And the number of patients requiring blood transfusion and the mean length of hospital stay were notably decreased in the cp group.And compared with other patient characteristics, the mechanism of injury (blade, crush, or avulsion) showed a remarkable difference between the two groups of digital failure.Moreover, we analyzed the correlations between patient characteristics and the odds of digit survival and found that compared with other basic characteristics of patients and their injury, the preservation temperature, especially cryopreservation, could significantly promote digital survival after replantation.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Public View of Public Health Emergencies Based on Artificial Intelligence Data

In the current environment where the network and the real society are intertwined, the network public view of public emergencies has involved in reality and altered the ecology of communal public views in china.A new online court of influence has been created, and it affected the trend of events.As the main type of public emergencies, public health emergencies are directly related to people’s health and life insurance.Therefore, the public often pays special attention.At present, correct media guidance plays an irreplaceable and important role in calming people’s hearts and stabilizing social order.If news and public view are left unchecked, it is likely to cause panic among the people.However, in reality, public view research has always been a research object that is difficult to intelligentize and quantify.Based on such a realistic background, the article conducts a research on public view of public health emergencies based on artificial intelligence data analysis.This study designs an expert system for network public view and optimizes the algorithm for the key problem: sfc deployment.Finally, the system was put into real news and public opinion research on new coronavirus epidemic prevention, and experimental tests were carried out.The experimental results have shown that in the new coronavirus incident, the nuclear leakage incident, and the epidemic prevention policy, the data obtained by the public through the internet are 50%, 68.06%, and 64.35%, respectively.For the system function in this study, both icso and ipso are far better than the optimization results of cso and pso.For most of the test functions, ipso is better than icso’s optimization results, which better fulfills the needs of the research content.This study will make an in‐depth analysis of the evolution process of online public opinion on public emergencies from the macro‐, meso‐, and micro‐perspectives, in order to analyze the dissemination methods and internal evolution mechanism of various public emergencies of online public opinion, which provides countermeasures and suggestions for the government to guide and manage network public opinion.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Three-Dimensional Simulation Garden Landscape Design Method Based on Virtual Simulation Technology

In order to further promote the design and development of 3d simulated garden landscape, the author proposes a method of 3d simulated garden landscape design based on virtual simulation technology.By combining virtual simulation technology and traditional 3d simulation garden landscape design method, a 3d garden landscape simulation system is constructed, thereby realizing the improvement of 3d simulation garden landscape design method and further promoting the development of 3d simulation garden landscape design.Experimental results show that with the gradual expansion of the scope, the accuracy of the method used by the author gradually improved, reaching a maximum of about 89%, while the traditional method was always maintained at about 40%, and the judgment rate was doubled compared with the traditional method.Conclusion.By combining virtual simulation technology and traditional 3d simulation garden landscape design method, the development of 3d simulation garden landscape design can be effectively promoted.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
Application of Optical Fiber Sensing Technology in Permeability Test of Three-Dimensional Physical Model of Medium and Long-Distance Diversion Tunnel

In order to accurately simulate the dynamic change law of seepage field during construction, this paper proposes the application of optical fiber sensing technology in the permeability test of three-dimensional physical model of medium and long-distance headrace tunnel.This paper introduces the principle of optical fiber sensing, analyzes and compares the application advantages of optical fiber and general electrical signal sensing in the safety monitoring of long-distance diversion tunnel.Taking the safety monitoring of a 16# long tunnel of a diversion project as an example, the selection of monitoring sections, monitoring items, and the layout and networking of monitoring instruments are studied.In addition, combined with the tunnel project, the physical simulation of the construction process of the deep buried headrace tunnel under high seepage pressure is carried out, and the water pressure automatic control water supply system and the discrete flower tube seepage generation system are designed and manufactured to realize the high simulation of the seepage field.The seepage and evolution law in the surrounding rock of headrace tunnel during dynamic construction are calculated and analyzed.The test results show that the maximum external water pressure of the headrace tunnel is 15 mpa, which is equivalent to 1500 m head pressure, and the similar scale of head pressure is 100.Therefore, taking 15 m constant head water supply pressure for simulation calculation, the excavation of the tunnel is 120 cm, and the two-dimensional seepage of the vertical section of z = 91 cm .The seepage flow of the two sides of the tunnel is large, and the contour of the hydraulic gradient is dense.The coordinates are 0.7 m, 2.090 m, and 0.9 m.This point in the original rock mass is located at the same elevation point of the four headrace tunnels and directly below the model exploratory tunnel.The head pressure is 1.40 m, and the corresponding prototype point pressure head is 140 m.During construction, such a high external water pressure is a great safety hazard.Conclusion.The test conclusion provides a theoretical basis for the seepage prevention construction technology design of the headrace tunnel and is of great significance to the long-term stability, safety evaluation, and prediction of the headrace tunnel.

Journal: Wireless Communications and Mobile Computing (2022)
Publication types: Research Article;
A Detailed Research on Human Health Monitoring System Based on Internet of Things

The technological advent in smart sensing devices and the internet has provided practical solutions in various sectors of networking, public and private sector industries, and government organizations worldwide.This study intends to combine the internet of things (io t) technology with health monitoring to make it personalized and timely through allowing the interconnection between the devices.This work is aimed at exploring various wearable health monitoring modules that people wear to monitor heart rate, blood pressure, pulse, body temperature, and physiological information.The information is acquired using the wireless sensor to create a health monitoring system.The data is integrated using the internet of things for processing, connecting, and computing to achieve real‐time monitoring.The temperature of three people measured by the temperature thermometer is 36.4, 36.7, and 36.5 (°c), respectively, and the average acquired by the monitoring system of the three people is 36.5, 36.4, and 36.5 (°c), respectively, indicating that the system demonstrated relatively accurate and stable testability.The user’s ecg is displayed clearly and conveniently using the ecg acquisition system.The pulse rate of the three people tested by the system is 78, 78, and 79 (times/min), respectively, similar to the medical pulse meter results.The physiological information acquired using the semantic recognition, matching system, and character matching system is relatively accurate.It concludes that the human health monitoring system based on the internet of things can provide people with daily health management, instrumental in heightening health service quality and level.

Journal: Wireless Communications and Mobile Computing (2021)
Publication types: Research Article;
Transcription elongation factor A-like 7, regulated by miR-758-3p inhibits the progression of melanoma through decreasing the expression levels of c-Myc and AKT1

Background ectopic expression of transcription elongation factor a (sii)-like 7 (tceal7) has been observed in several kinds of cancers, but its role in melanoma is still unclear.This study was carried out to investigate tceal7 role in melanoma progression, and uncover the underlying mechanisms.Methods tceal7 expression levels in melanoma tissues and cells were determined by using real-time quantitative pcr (rt-pcr) and western blotting.Cck-8, transwell chambers, flow cytometry, starch assay and tumorigenesis assay were applied to detect cell growth, invasion, apoptosis, migration and tumorigenesis, respectively.Results a low expression level of tceal7 was observed in melanoma tissues and cells, which was associated with malignant clinical process and poor prognosis.Tceal7 negatively modulated akt1, akt2, c-myc, n-cadherin and pcna expression and inhibited cancer progression via decreasing akt1 and c-myc levels.In addition, tceal7 was negatively modulated by mi r-758-3p which promoted melanoma progression.Moreover, overexpression of tceal7 abolished mi r-758-3p role in promoting melanoma progression.Conclusion this study demonstrated that tceal7, regulated by mi r-758-3p inhibited melanoma progression through decreasing the expression levels of c-myc and akt1.

Journal: Cancer Cell International (2021)
Publication types: Research Article;
Predictive Value of MPV and Plasma NT-ProBNP Combined with the Simplified Geneva Scale for the Prognosis of Acute Pulmonary Embolism

To explore the predictive value of mean platelet volume (mpv) and plasma n-terminal probrain natriuretic peptide (nt-pro bnp) combined with a simplified geneva scale for the prognosis of acute pulmonary embolism (ape).Methods.The clinical data of 68 patients with ape admitted to our hospital from october 2017 to october 2019 were collected.According to the prognosis, the patients were divided into a good prognosis group (n = 45) and a poor prognosis group (n = 23).The clinical data, laboratory clinical indexes, and simplified geneva scale scores were recorded for the two groups.The risk factors of poor prognosis were analyzed by binary multivariate logistic regression analysis; the predictive ability of each index on the prognosis of patients with ape was analyzed by the roc curve.Results.The incidences of deep vein thrombosis, diabetes, and hyperlipidemia in the poor prognosis group were higher than those in the good prognosis group ( p &lt; 0.05 ).Plt, platelet distribution width (pdw), mpv, and plasma nt-pro bnp in the poor prognosis group were higher than those in the good prognosis group ( p &lt; 0.05 ).The simplified geneva scale score of the poor prognosis group was higher than that of the good prognosis group ( p &lt; 0.05 ).Pdw, mpv, plasma nt-pro bnp, and simplified geneva scale were all independent risk factors for the poor prognosis of ape patients ( p &lt; 0.05 ).The auc of mpv in predicting the prognosis of ape patients was 0.818 (95% ci: 0.712–0.925).When the optimal cutoff value was 0.571, the sensitivity was 77.1%, and the specificity was 80.0%.The auc of plasma nt-pro bnp in predicting the prognosis of ape patients was 0.762 (95% ci: 0.634–0.891).When the optimal cutoff value was 0.475, the sensitivity was 71.5%, and the specificity was 76.0%.The auc of the simplified geneva scale in predicting the prognosis of ape patients was 0.749 (95% ci: 0.618–0.879).When the optimal cutoff value was 0.469, the sensitivity was 82.9%, and the specificity was 64.0%.The auc of mpv and plasma nt-pro bnp combined with the simplified geneva scale in predicting the prognosis of ape patients was 0.907 (95% ci: 0.826–0.988).When the optimal cutoff value was 0.726, the sensitivity was 88.6%, and the specificity was 84.0%.Conclusion.Mpv, plasma nt-pro bnp, and simplified geneva scale have a certain predictive value for the prognosis of ape.Compared with a single index, the combination of the three indexes has a significant improvement in predicting the prognosis of ape and has better clinical value.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Porcine-Stimulated Human Tr1 Cells Showed Enhanced Suppression in Xenoantigen Stimulation Response

Type 1 regulatory t (tr1) cells play a fundamental role in maintaining and inducing immune tolerance.Our preliminary study demonstrated that an interleukin- (il-) 10-mediated pathway is a possible regulatory mechanism underlying the xenoantigen-specific human treg enhanced suppressive capacity.Here, we developed a feasible protocol for expanding il-10-induced xenoantigen-specific human tr1 cells in vitro which would be more efficient in transplantation immunotherapy efficiency.In this study, xenoantigen-specific tr1 cells are generated from human naive cd4+ t cells expanded for two subsequent xenoantigen-stimulation cycles with recombinant human il-10.The phenotype and suppressive capacity of xenoantigen-stimulated tr1 cells are assessed, and the mechanism of their suppression is studied.Tr1 cells can be induced by porcine xenoantigen stimulation combined with il-10, il-2, and il-15, displaying an increased expression of cd49b, ctla-4, and lag-3 without expressing foxp3 which also showed an effector memory treg phenotype and expressed high levels of cd39.After xenoantigen stimulation, the il-10 and il-5 gene expression in tr1 cells increased, secreting more il-10, and xenoantigen-stimulated tr1 cells changed their t cell receptor (tcr) vβ repertoire, increasing the expression of tcr vβ2, tcr vβ9, and tcr vβ13.In a pig to human mixed lymphocyte reaction (mlr), xenoantigen-stimulated tr1 cells displayed enhanced suppressive capacity via cd39 in a dose-dependent manner.Moreover, il-5 could affect the proliferation of xenoantigen-specific tr1 cells, but not their phenotypes’ expression.This study provides a theory and feasible method for immune tolerance induction in clinical xenotransplantation.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Overexpression of PIK3R1 Promotes Bone Formation by Regulating Osteoblast Differentiation and Osteoclast Formation

In an effort to bolster our understanding of regulation of bone formation in the context of osteoporosis, we screened out differentially expressed genes in osteoporosis patients with high and low bone mineral density by bioinformatics analysis.Pik3r1 is increasingly being nominated as a pivotal mediator in the differentiation of osteoblasts and osteoclasts that is closely related to bone formation.However, the specific mechanisms underlying the way that pik3r1 affects bone metabolism are not fully elucidated.We intended to examine the potential mechanism by which pik3r1 regulates osteoblast differentiation.Enrichment analysis was therefore carried out for differentially expressed genes.We noted that the estrogen signaling pathway, tnf signaling pathway, and osteoclast differentiation were markedly associated with ossification, and they displayed enrichment in pik3r1.Based on western blot, q rt-pcr, and differentiation analysis in vitro, we found that upregulation of pik3r1 enhanced osteoblastic differentiation, as evidenced by increased levels of investigated osteoblast-related genes as well as activities of alp and ars, while it notably decreased levels of investigated osteoclast-related genes.On the contrary, downregulation of pik3r1 decreased levels of osteoblast-related genes and increased levels of osteoclast-related genes.Besides, in vitro experiments revealed that pik3r1 facilitated proliferation and repressed apoptosis of osteoblasts but had an opposite impact on osteoclasts.In summary, pik3r1 exhibits an osteoprotective effect via regulating osteoblast differentiation, which can be represented as a promising therapeutic target for osteoporosis.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;