syedzayyan/paper_mill_benchmark huggingface dataset:
Investigation and Analysis of Infection among Inpatients in a Tertiary Hospital in Shanghai

S.This study is aimed at obtaining information about the prevalence of nosocomial infections (nis) and the use of antibiotics in hospitalized patients and providing relevant references for further understanding, preventing, and controlling nis.Methods.The medical records of adult patients admitted to a hospital in shanghai from november to december 2021 were analyzed.The patients were divided into the ni group, community-acquired infection (cai) group, and uninfected or healed group according to their infection status.The survey results were summarized and analyzed.Results.A total of 1485 patients were investigated, including 115 patients in the ni group, 172 patients in the cai group, and 1198 patients in the uninfected or healed group.In the ni group, the main infection site was intra-abdominal tissue (49.6%), followed by lower respiratory tract (unrelated to application of catheters) (13%).There were 73 pathogens detected in the samples submitted from the ni group, mainly including 8 cases (11%) of escherichia coli, 9 cases (12%) of klebsiella pneumoniae, and 40 cases (55%) of negative microbiological test results.Thirteen of 115 patients with nis had infections with drug-resistant bacteria, including 9 cases (69.2%) of cre (carbapenem-resistant enterobacteriaceae), 2 cases (15.38%) of vre (vancomycin-resistant enterococcus), 1 case (7.69%) of mrsa (methicillin-resistant staphylococcus aureus), and 1 case (7.69%) of crab (carbapenem-resistant acinetobacter baumannii).In terms of medication, single drug use accounted for the majority of the ni group (66.3%) and cai group (60.6%); both groups had less frequent quadruple drugs.In the uninfected or healed group, single drug occupied 92.0%, and dual drug use accounted for 8.0%.Cefoperazone/sulbactam was the most commonly used antibacterial drug in the ni group (18.0%) and cai group (17.6%), and piperacillin/tazobactam accounted for 14.0% and 17.6% in the two groups, respectively.In the uninfected or healed group, cefuroxime accounted for 59.8%, followed by cefoperazone/sulbactam (13.3%).Conclusion.This study provides a scientific basis for effective control of nis.Strict implementation of aseptic techniques, reduction of invasive operations, and rational use of anti-infective drugs can minimize the incidence of nosocomial infection to ultimately achieve effective prevention and control of nis.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing

At present, the health monitoring system of world sports events uses the system's on-site information or periodic test information to evaluate the health of the system.In order to make the data more accurate, the application of cloud computing is necessary.This article is based on the cloud computing spatial structure sports event health monitoring internet of things system, aiming to analyze the data from the structure's resilience, surface load and other aspects, combined with cloud computing means to explore this monitoring system.This research uses literature retrieval methods, cloud computing particle swarm optimization and interpolation fitting methods to process data.Aiming at the data characteristics of spatial structure health monitoring, the overall framework of the internet of things system for spatial structure health monitoring is proposed.Taking advantage of cloud computing in processing computing-intensive tasks, an algorithm for data processing at the application layer is established, and the cloud data for spatial structure monitoring is completed.Management system design.Among them, the internet of things system, structural health monitoring system and other models are mainly combined with the various levels of the model to carry out targeted analysis; the factors involved are the arrangement of sensors and the installation of sensors at the junctions, for example, magnetoelectric acceleration sensors and optical fiber optical shed sensors for data recording of large stadiums with different structures.The experimental results show that when extreme temperatures exist, the stress of the rods as a whole will decrease to a certain extent.The maximum difference between the test data considering extreme weather and not considering extreme weather is 226.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Intelligent Internet of Things Medical Technology in Implantable Intravenous Infusion Port in Children with Malignant Tumors

Due to the recent technological revolution that is centered around information technology, the internet of medical things (io mt) has become an important research domain.Io mt is a combination of internet of things (io t), big data, cloud computing, ubiquitous network, and three-dimensional holographic technology, which is used to build a smart medical diagnosis and treatment system.Additionally, this system should automate various activities, such as the patient’s health record and health monitoring, which is an important issue in the development of modern and smart healthcare system.In this paper, we have thoroughly examined the role of a smart healthcare system architecture and other key supporting technologies in improving the health status of both indoor and outdoor patients.The proposed system has the capacity to investigate and predict (if feasible) the clinical application and nursing effects of totally implantable intravenous port (tivap) in pediatric hematological tumors.For this purpose, seventy children with hematologic tumors were treated with tivap, and io mt-enabled care was provided to them, where the occurrence of adverse events, specifically after the treatment, was observed.The experimental results collected after the 70 children were treated and cared for by tivap show that there were five cases of adverse events, whereas the incidence rate of the adverse events was 7.14%.Moreover, tivap has significant efficacy in the treatment of hematologic tumors in children, and it equally reduces the vascular injury caused by chemotherapy in younger patients.Likewise, targeted care reduces the incidence of adverse events in children with expected ratio.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Clinical Study;
Intelligent Control of Agricultural Irrigation through Water Demand Prediction Based on Artificial Neural Network

In irrigated areas, the intelligent management and scientific decision‐making of agricultural irrigation are premised on the accurate estimation of the ecological water demand for different crops under different spatiotemporal conditions.However, the existing estimation methods are blind, slow, or inaccurate, compared with the index values of the water demand collected in real time from irrigated areas.To solve the problem, this paper innovatively introduces the spatiotemporal features of ecological water demand to the forecast of future water demand by integrating an artificial neural network (ann) for water demand prediction with the prediction indices of water demand.Firstly, the ecological water demand for agricultural irrigation of crops was calculated, and a radial basis function neural network (rbfnn) was constructed for predicting the water demand of agricultural irrigation.On this basis, an intelligent control strategy was presented for agricultural irrigation based on water demand prediction.The structure of the intelligent control system was fully clarified, and the main program was designed in detail.The proposed model was proved effective through experiments.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;
Improving the Use of Blockchain Technology in Stroke Care Information Management Systems

Blockchain is a new and popular technology in the digital age.Blockchain technology is referred to as decentralised and distributed digital ledgers, which are called blocks.These blocks are linked together with the cryptographic hashes and are used to record transactions between many computers.No single block can be altered without altering the related blocks.Modification of individual block data is impossible because each block contains information from the previous block.This is the unique strength of blockchain.Timestamps and hashes are some of the important terms when blockchains are considered.Data security is guaranteed with this advanced technology.Blockchain technology finds its application in the healthcare industry with many advantages in a queue.Medical data can be transferred safely and securely for fool-proof management of the medicine supply chain, which helps in healthcare research.Blockchains are used to securely encrypt a patient’s information in the event of an outbreak of a pandemic disease.A stroke is referred to as a brain attack, also called cerebral infarction.A cerebral infarction is a sudden stoppage of blood flow in the blood vessels connected to the brain.This study focused on evaluating the application of blockchain technology in stroke nursing information management systems.This emerging technology is already in use in the healthcare industry.The patient’s data is kept decentralized, transparent, and mainly incorruptible, thus keeping it secured and sharing of data is quick.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Improved Multiview Decomposition for Single-Image High-Resolution 3D Object Reconstruction

As a representative technology of artificial intelligence, 3d reconstruction based on deep learning can be integrated into the edge computing framework to form an intelligent edge and then realize the intelligent processing of the edge.Recently, high-resolution representation of 3d objects using multiview decomposition (mvd) architecture is a fast reconstruction method for generating objects with realistic details from a single rgb image.The results of high-resolution 3d object reconstruction are related to two aspects.On the one hand, a low-resolution reconstruction network represents a good 3d object from a single rgb image.On the other hand, a high-resolution reconstruction network maximizes fine low-resolution 3d objects.To improve these two aspects and further enhance the high-resolution reconstruction capabilities of the 3d object generation network, we study and improve the low-resolution 3d generation network and the depth map superresolution network.Eventually, we get an improved multiview decomposition (imvd) network.First, we use a 2d image encoder with multifeature fusion (mff) to enhance the feature extraction capability of the model.Second, a 3d decoder using an effective subpixel convolutional neural network (3d espcn) improves the decoding speed in the decoding stage.Moreover, we design a multiresidual dense block (mrdb) to optimize the depth map superresolution network, which allows the model to capture more object details and reduce the model parameters by approximately 25% when the number of network layers is doubled.The experimental results show that the proposed imvd is better than the original mvd in the 3d object superresolution experiment and the high-resolution 3d reconstruction experiment of a single image.

Journal: Wireless Communications and Mobile Computing (2020)
Publication types: Research Article;
Imaging Characteristics of Invasive Pulmonary Fungal Infection Secondary to Hematological Diseases and Comparison before and after Treatment

Fungal infections have become crucial factors that threaten the prognosis and survival of blood disease patients.Here, we aim to analyze the epidemiological characteristics and early and advanced ct (computed tomography) manifestations of patients with invasive pulmonary fungal infections secondary to blood system diseases.65 hospitalized patients from october 2018 to october 2020 with invasive pulmonary fungal infections secondary to blood diseases were enrolled.Blood diseases were recorded according to clinical and imaging data, and the serum galactomannan test (gm test) was conducted.Two senior radiologists analyzed the ct data and recorded the distribution of the lesions and ct signs.We analyzed and counted the first chest ct scan images of patients with nodule/mass type secondary to hematological diseases and invasive pulmonary fungal infection.The first ct nodules or mass-type lesions were statistically significant in nodule size, the number of lesions, distribution, and accompanying signs.Pulmonary fungal infection was common in both lungs during 7-day, 14-day, and 30-day follow-up ct.We also found that the nodular mass type was the main manifestation in the positive group of the gm test.Both the positive group and the negative group had the highest incidence of nodules.The incidence of air crescent signs in nodules or mass lesions in the positive group was higher than in the negative group, and the difference was statistically significant.To conclude, follow-up ct signs after antifungal treatment were highly sensitive to the early diagnosis of hematological diseases and secondary invasive pulmonary eumycetes infection, which could be used for clinical treatment to provide help.Gm test results were also related to ct manifestations such as air crescent sign, cavity, and halo sign.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Helicid Reverses the Effect of Overexpressing NCALD, Which Blocks the sGC/cGMP/PKG Signaling Pathway in the CUMS-Induced Rat Model

Increasing evidence has shown that apoptosis in the hippocampus is closely related to depressive-like behavior.We previously reported that helicid had good antidepressant activities, which manifested as the alleviation of depression-like behaviors and the reversal of the high expression of neurocalcin delta (ncald) in chronic unpredictable mild stress (cums) rats.The aim of this study was, therefore, to characterize the antidepressant-like effects and underlying mechanism of helicid on cums rats by silencing ncald and using rescue experiments.Methods.We developed the cums rat model using cums stimulation from week 0 to week 6.The rats were treated with helicid, or ncald silenced, then we overexpressed ncald using adeno-associated virus.We also measured the protein levels of s gcα1, s gcβ1, pkg1/2, and cleaved caspase-3 in hippocampal tissues using western blotting and measured c gmp using an elisa.Results.Treating cums rats by silencing ncald or by the administration of helicid improved the depressive-like behavior.The levels of proteins, including s gc, pkg, cleaved caspase-3, and c gmp, in hippocampus all decreased.Ncald overexpression reversed these decreases and reversed the alleviation of depression-like behaviors in cums rats.Limitation.We only detected the antidepressant effects of helicid in the hippocampus; therefore, other parts of brain should also be studied.Conclusions.Inhibition of ncald, as well as helicid administration, alleviated antidepressant-like behavior by regulating the expressions of apoptotic cytokines and the s gc/c gmp/pkg signaling pathway.Overexpressing ncald reversed the amelioration effects of silenced ncald and helicid administration.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Frailty’s Prevalence and the Association with Aging-Related Health Conditions in Chinese Community Dwelling Elderly

In this paper, we have investigated the frailty’s prevalence and the association with aging-related health conditions in chinese community dwelling elderly aged ≥60 years in lianyungang city of china.In this regard, participants were 1,072 adults aged ≥60 years from houhe community of lianyungang city of china.All the enrolled participants were tested for following parameters: (1) the related risk factors of frailty: including economic status, personal health, understanding and communication skills, and mental and psychological status; (2) aging-related health conditions related to frailty: charlson’s comorbidity index (cci), mini nutritional assessment short form (mna-sf), patient health questionnaire-9 (phq-9), and generalized anxiety disorder 7-item (gad-7); (3) body composition, physical strength, and function testing: appendicular skeletal muscle mass index (asmi), grip strength, five-repetition sit-to-stand test, 6 m walking speed, and strength assistance rise-climb-fall (sarc-f); (4) assessment of the degree and severity of frailty: physical frailty phenotype (pfp), morse fall scale (mfs), and activities of daily living (adl).The frailty’s prevalence among the elderly aged ≥60 years in the community of lianyungang city was 13.8%, 55.4% were prefrail, and 30.8% were robust.The independent risk factors of frailty were age, appendicular skeletal muscle mass index, sarcopenia, education, nutrition, and strength assistance rise-climb-fall p &lt; 0.05 .Aging-related health conditions were associated with frailty, including sarcopenia, nutrition, and falls.However, mental and psychological statuses were not significantly associated with frailty.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Fractal Art Pattern Generation Based on Genetic Algorithm

In order to solve the problem in the application and optimization method of fractal art pattern generation, on the basis of the integration of the fractal theory and genetic algorithm, a generation method based on genetic algorithm and composition generation was proposed.The method provided a more stable and convenient supporting environment for the innovative design of artistic patterns, which met the needs of different users for the design of artistic patterns.The experimental results showed that the simplified genetic programming algorithm was optimized in both individual coding complexity and algorithm complexity.The search space was 1023-1026 times larger than the traditional algorithm, and the evaluation times were 2-3 times larger than the traditional algorithm.The results showed that the method could solve the problem that fitness function could not express well and ensure the optimal genetic population.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Fast Modelling Algorithm for Realistic Three-Dimensional Human Face for Film and Television Animation

Ing at the face photos of film and television animation, this paper proposes a new fast three‐dimensional (3d) face modelling algorithm.First of all, based on the lbf algorithm, this paper proposes a multifeature selection idea to automatically detect multiple features of the face.Secondly, in order to solve the shortcomings of slow training speed while achieving large pose face alignment, the regression‐based cnn is selected as the algorithm to achieve fast convergence.Then, due to the influence of various factors, the extracted feature points are not completely correct, and gabor features are used to screen the matching of feature points.Finally, by analysing the principle of 3dmm 3d face reconstruction, a single‐view 3d face reconstruction method based on cnn is proposed.The experimental results show that the algorithm in this paper has good reconstruction performance and real‐time performance and can realize the rapid modelling of human face.

Journal: Complexity (2021)
Publication types: Research Article;
Factors Analysis of the Compliance Rate of Hypertension Detection Control and Self-Assessment Control in Community Outpatient Clinics

To understand the related influencing factors of outpatient hypertension detection and control and self-test control compliance rate.Methods.A total of 637 hypertensive patients who visited the outpatient clinic of our hospital from january 2021 to december 2021 were selected for investigation and research, and the relevant information such as blood pressure, treatment detection, and other related information of the patients were counted, and the detection and control of outpatient hypertension were explored through regression analysis and the related factors of the self-test control compliance rate.Results.There was no statistically significant difference in the number of patients who met the standard or not under the gender difference (p &gt; 0.05), and it can be found that there was no statistically significant difference in the age of patients who met the standard and those who did not (p &gt; 0.05).The proportion of patients with self-test hypertension control at home was 64.68%, and the compliance rate of self-test blood pressure was 42.54%.The compliance rate of blood pressure control in outpatient testing was 61.85%.Heart rate, exercise, smoking, medication compliance, and other factors are important factors affecting the control of hypertension.Knowing hypertension-related knowledge, regular follow-up, office blood pressure compliance, smoking, excessive salt intake, and hypertension complications are important factors affecting the self-test control of hypertension in the family.Conclusion.By urging patients to do daily physical exercise, admonishing patients to quit smoking, and improving patients’ medication compliance, the control rate of hypertension in outpatient clinics can be effectively improved.Understanding the knowledge of hypertension, controlling the salt content in the diet, and receiving regular follow-up surveys from doctors can effectively improve the effect of self-measurement and control of blood pressure at home and further improve the control rate of hypertension.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System

The purpose is to enrich the evaluation system of physical education (pe) teaching in colleges and universities and to improve pe teaching methods and improve teaching quality.Based on big data information fusion and data mining technology, firstly, the related theories of teaching evaluation are analyzed and expounded, as well as the characteristics and principles of the construction of college pe teaching evaluation system.Secondly, from the perspective of evaluation index system of sports teachers’ teaching and students’ sports teaching, the content and evaluation index of college sports teaching evaluation are analyzed under the background of big data information fusion and data mining by questionnaire survey.Combined with model test, the results show that traditional college sports teacher pays more attention to the design and teaching methods of pe and ignore the learning process of students.The evaluation process of pe ignores the individual differences of students, the feedback method lacks openness, and the evaluation process is isolated.Based on the big data technology and teaching evaluation theory, the evaluation index is designed for pe teaching in colleges and universities.The average value of the first layer indexes is above 4, and the coefficient of variation is less than 0.2, which can basically reflect the content of pe teaching evaluation and provide some reference for the research of pe teaching evaluation.

Journal: Journal of Sensors (2021)
Publication types: Research Article;