syedzayyan/paper_mill_benchmark huggingface dataset:
Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

Farming is essential to the long-term viability of any economy.It differs in each country, but it is essential for long-term economic success.Only a few of the agricultural industry’s issues include a lack of suitable irrigation systems, weeds, and plant monitoring concerns as a consequence of efficient management in distinct open and closed zones for crop and plant treatment.The objective of this work is to carry out a study on the use of artificial intelligence and computer vision methods for diagnosis of diseases in agro sectors in the context of agribusiness, demonstrating the feasibility of using these techniques as tools to support automation and obtain productivity gains in this sector.During the literary analysis, it was determined that technology could improve efficiency, hence decreasing these types of concerns.Given the consequences of a wrong diagnosis, diagnosis is work that requires a high level of precision.Fuzzy cognitive maps were shown to be the most efficient method of utilizing bibliographically reviewed preferences, which led to the consideration of neural networks as a second option because this technique is the most robust in terms of the qualifying criteria of the data stored in databases.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Comprehensive Bioinformatics Analysis of Gasdermin Family of Glioma

Pyroptosis is a programmed cell death mediated by gasdermins (gsdms).The prognostic value of pyroptosis-related genes in different tumor types has been gradually demonstrated recently.However, the prognostic impact of gsdms expression in glioma remains unclear.Here, we present a comprehensive bioinformatic analysis of gasdermin family member gene expression, producing a prognostic model for glioma and creating a competing endogenous rna (ce rna) network.The m rna expression profiles and clinical information of glioma patients were downloaded from tcga and cgga.A risk score based on the gasdermin family was constructed in the tcga cohort and validated in cgga.The jurkat cell was used to verify the relationship between pyroptosis and activation-induced cell death (aicd).We identify a significant association between the expression of gsdmd and gsdme and the glioma stage.The least absolute shrinkage and selection operator (lasso) cox regression analysis was used to construct a prognostic gene model based on the four prognostic gasdermin family genes (gsdmc, gsdmd, gsdme, and pjvk).This model was able to predict the overall survival of glioma patients with high accuracy.We show that gasdermin family genes are expressed primarily by immune cells, endothelial cells, and neuronal cells in the tumor microenvironment, rather than by malignant tumor cells.T cells were significantly activated in high-risk patients; however, the activation-induced cell death (aicd) pathway was also significantly activated, suggesting widespread expiration of cytotoxic t lymphocytes (ctls), facilitating tumor progression.We also identify the lnc rna/mi r-296-5p/gsdmd regulatory axis as an important player in glioma progression.We have conducted a comprehensive bioinformatic analysis identifying the importance of gasdermin family members in glioma; a prognostic algorithm containing four genes was constructed.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Characteristics Scanning of Brain Structure and Function Changes in Patients with Different Degrees of Alzheimer’s Disease

Through the case control study on structural magnetic resonance imaging (s mri) scanning, mr spectrum (mrs), and neuropsychological assessment of the intracranial structures of alzheimer’s disease (ad), patients of different degrees (early, middle, and late), the early clinical features, imaging features, and neuropsychological characteristics of patients with ad were analyzed to provide help for the early diagnosis of ad.The data of mr scanning of the brain, bilateral mrs scan of the hippocampus, thyroid function and other laboratory indicators, and neuropsychological evaluation analysis were collected in 50 patients who had been diagnosed with ad.According to cdr, 50 patients were divided into the early ad group and the middle and advanced ad group, with 23 patients in the early ad group and 27 patients in the middle and advanced ad group.Retrospective study was conducted to analyze the general conditions, medial temporal lobe atrophy (mta) grading, and the metabolic changes of bilateral mrs in the hippocampus of patients in both groups, so did the mini‐mental state examination (mmse), activities of daily living scale (adl), and other neuropsychological assessment results.Moreover, the comparative analysis was carried out.The results showed that the mta grade of medial temporal atrophy increased with the progressive severity of the disease in both groups.A statistical test was conducted on the reduction of hippocampal volume in the two groups, and the p was less than 0.05.Therefore, the mta scale was of great value in the diagnosis and staging of early ad.However, when the diagnosis of early ad was treated by mta visual evaluation alone, there was 23.8% false negative diagnosis.If the judgment of early ad only depended on the metabolic changes of hippocampus mrs or mr scanning of intracranial structures, it was likely to cause false negative diagnosis.Therefore, the combination of mrs analysis and mr scanning of intracranial structures was favorable for the early diagnosis and treatment of ad.Combined with neuropsychological assessment, ad patients were staged more effectively, which greatly improved the accuracy of ad diagnosis in the early stage.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
CNN-LSTM Hybrid Real-Time IoT-Based Cognitive Approaches for ISLR with WebRTC: Auditory Impaired Assistive Technology

In the era of modern technology, people may readily communicate through facial expressions, body language, and other means.As the use of the internet evolves, it may be a boon to the medical fields.Recently, the internet of medical things (io mt) has provided a broader platform to handle difficulties linked to healthcare, including people's listening and hearing impairment.Although there are many translators that exist to help people of various linguistic backgrounds communicate more effectively.Using kinesics linguistics, one may assess or comprehend the communications of auditory and hearing-impaired persons who are standing next to each other.When looking at the present covid-19 scenario, individuals are still linked in some way via online platforms; however, persons with disabilities have communication challenges with online platforms.The work provided in this research serves as a communication bridge inside the challenged community and the rest of the globe.The proposed work for indian sign linguistic recognition (islr) uses three-dimensional convolutional neural networks (3d-cnns) and long short-term memory (lstm) technique for analysis.A conventional hand gesture recognition system involves identifying the hand and its location or orientation, extracting certain essential features and applying an appropriate machine learning algorithm to recognise the completed action.In the calling interface of the web application, web rtc has been implemented.A teleprompting technology is also used in the web app, which transforms sign language into audible sound.The proposed web app's average recognition rate is 97.21%.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Chemical Composition, Pharmacological, and Toxicological Effects of Betel Nut

Betel nut, the fruit of areca catechu l, has a long medical history in southeast asia.It is native to malaysia and is cultivated and processed extensively in subtropical regions, such as south china and india.Betel nut almost appears as a “snack” in various occasions in most parts of china.Clinically, betel nut can play a certain pharmacology role and was used in malaria, ascariasis, arthritis, enterozoic abdominalgia, stagnation of food, diarrhea, edema, and beriberi.The nervous excitement of betel nut chewing has made it gradually become popular.However, chewing betel nut can induce oral submucosal fibrosis (osf) and oral cancer (oc).At the same time, long-term chewing of betel nut also causes inhaled asthma, sperm reducing, betel quid dependence (bqd), and uterine and esophageal cancers.The main components of processed betel nut are the goal of this review.This study will mainly start from the pharmacological activity and toxicology study of betel nut in recent years, aiming to seek its advantages and disadvantages.In the meantime, this study will analyze and emphasize that betel nut and arecoline are the high-risk factors for oral cancer, which should arouse attention and vigilance of the public.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Review Article;
Clinical Application of Digital 3D Reconstruction and 3D Printing Technology in Endometrial Cancer (EC) Surgery

S.We use cta and magnetic resonance data to use digital three-dimensional reconstruction and 3d printing technology to reproduce the solid replication of the uterus and surrounding tissues in vitro, fully evaluate the adjacency of tumor tissues with surrounding important organs, blood vessels, and lymph nodes, and reduce the impact.The normal organ structure and function of the surgeon can shorten the operation time, reduce the bleeding during the operation, and reduce the perioperative complications of the patient to improve the prognosis of the patient.Materials and methods.Select 40 ec patients and divide them into group a (3d reconstruction data is transmitted to 3d printing equipment according to the results of cta and mri examination, and a 3d model is printed out according to the ratio of 1 : 1 for evaluation and judgment before surgery) and group b (according to mri imaging examination, there were 20 cases each).Different surgical conditions, quality of life, adverse reactions, and clinical efficacy were evaluated in each group.Results.The operation time, the time of the first anus exhaust, the hospitalization time after the operation, and the blood loss of the operation in group a were significantly lower than those in group b.Statistics showed that the difference was significant ( p &lt; 0.05 ).The quality of life scores of emotion, cognition, society, and overall health of group a were significantly higher than those of group b, while physical score, fatigue, nausea, vomiting, and pain were lower than those of group b, which were statistically significant ( p &lt; 0.05 ).Both groups of patients had complications after the operation, and they were asked to be followed up at the outpatient clinic 3 months after the operation.All patients recovered well.There were 19 and 18 patients in groups a and b, respectively, complaining of improvement in clinical symptoms, and the difference was not statistically significant ( p &lt; 0.05 ).Conclusion.With the support of digital three-dimensional reconstruction and 3d printing technology, complex operations can be accurately performed, improving the efficacy and safety of patients after ec surgery, improving patient outcomes and quality of life, improving ec positioning accuracy, and reducing tumor residue.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Corporate Environmental Governance Performance Evaluation and Index System Construction under the Mobile Communication System

As environmental pollution has become more and more serious, in order to alleviate environmental and energy problems, people have begun to find new ways of governance in environmental management.Many countries have proposed to incorporate environmental performance into corporate performance for assessment.Under the historical background that the construction of ecological civilization has risen to a national strategy, the research on corporate environmental performance has attracted more and more attention.This paper constructs an environmental performance evaluation index system, evaluates the environmental performance of the enterprise, finds out the problems in the environmental performance of the enterprise, and proposes improvement suggestions.This is conducive to the change of the environmental policy of the enterprise, the improvement of the environmental performance level of the enterprise, and the protection of the ecological environment.This article introduces the mobile communication network, constructs the lms model of the satellite mobile communication system, and analyzes the structure and main functions of the model.The article explains the role of corporate environmental governance, builds an environmental performance indicator system, selects several companies to evaluate the environmental governance performance of the past two years, and obtains the comprehensive performance index, stress index, state improvement index, and response index of the four companies in 2020.The four indexes of company a are 1.28, 1.3, 12, and 1.45, and the four indexes of company b are 2.96, 3.1, 8, and 2.9.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
Construction of College Students’ Mental Health Assessment and Art Therapy System Aided by the Internet of Things and Big Data

In order to improve the effect of college students’ mental health assessment, this paper combines the internet of things and big data technology to build a college student’s mental health assessment system and analyzes and verifies the clustering effectiveness indicators by using fcm, gk, and gg clustering algorithms.Moreover, this paper explores the basic concepts and processes of fcm algorithm, gk algorithm, and gg algorithm and expounds the connection between the three algorithms.In addition, this paper uses four datasets to conduct clustering experiments and compares the cs indicator with several other indicators.The experimental results demonstrate the effectiveness of the cs indicator.The simulation study shows that the student mental health assessment system based on the internet of things and big data technology proposed in this paper can play a certain role in student mental health and art therapy, and it also verifies that art therapy plays a certain role in student psychotherapy.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Complex Structure of Braid in Fiber Art Creation with Multisensor IoT Technology

Fiber-fabric composites have the characteristics of lighter texture, higher strength, higher damage resistance, better toughness, and flexibility than laminated composites, but their complex structures have not been well studied.This paper is aimed at study the complex structure of woven fabrics in fiber art creation based on multisensor internet of things technology and at studying the impact of its composite material mechanical properties.In this paper, it is proposed to use glass fibers and carbon fibers to weave the required structural preforms in a two-dimensional braiding machine and then use the obtained preforms and epoxy resin to prepare three-dimensional two-dimensional braided composite materials with different structures through a molding process.The composites were tested in tension, bending, and compression to obtain data and their failure modes, and the data were compared to obtain correlations.The experimental results in this paper showed that through the tensile, bending, and compression tests of the three kinds of hybrid structure braided composites, the tensile properties of the glass fiber braided composites decreased by about 77%; the influence of angle on the bending properties of carbon fiber braided composites has the largest downward trend of 63%.Two-dimensional biaxial and two-dimensional triaxial preforms are made by weaving glass fiber and carbon fiber, and the angle deviation is basically kept within 2.2%.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Automation of Cephalometrics Using Machine Learning Methods

Cephalometry is a medical test that can detect teeth, skeleton, or appearance problems.In this scenario, the patient’s lateral radiograph of the face was utilised to construct a tracing from the tracing of lines on the lateral radiograph of the face of the soft and hard structures (skin and bone, respectively).Certain cephalometric locations and characteristic lines and angles are indicated after the tracing is completed to do the real examination.In this unique study, it is proposed that machine learning models be employed to create cephalometry.These models can recognise cephalometric locations in x-ray images, allowing the study’s computing procedure to be completed faster.To correlate a probability map with an input image, they combine an autoencoder architecture with convolutional neural networks and inception layers.These innovative architectures were demonstrated.When many models were compared, it was observed that they all performed admirably in this task.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Artificial Intelligence Algorithm-Based Differential Diagnosis of Crohn’s Disease and Ulcerative Colitis by CT Image

The aim of this study was to investigate the effect of low-dose ct enterography (cte) based on modified guided image filtering (gif) algorithm in the differential diagnosis of ulcerative colitis (uc) and crohn’s disease (cd).Methods.One hundred and twenty patients with suspected diagnosis of ibd were studied.They were randomly divided into control group (routine ct examination) and observation group (low-dose cte examination based on improved gif algorithm), with 60 cases in each group.Comprehensive diagnosis was used as the standard to assess the diagnostic effect.Results.(1) the peak signal-to-noise ratio (psnr) (26.02 d b) and structural similarity (ssim) (0.8921) of the algorithm were higher than those of gif (17.22 d b/0.8491), weighted guided image filtering (wgif) (23.78 d b/0.8489), and gradient domain guided image filtering (ggif) (23.77 d b/0.7567) ( p &lt; 0.05 ); (2) the diagnostic sensitivity (91.49%), specificity (92.31%), accuracy (91.67%), positive predictive value (97.73%), and negative predictive value (75%) of the observation group were higher than those of the control group ( p &lt; 0.05 ); the sensitivity and specificity of cte in the diagnosis of ud and cd were 96.77% and 81.25% and 98.33% and 93.33%, respectively ( p &lt; 0.05 ); there were significant differences in symmetrical intestinal wall thickening and smooth serosal surface between ud and cd ( p &lt; 0.05 ).Conclusion.(1) the improved gif algorithm has a more effective application value in the denoising processing of low-dose ct images and can better improve the image quality; (2) the accuracy of cte in the diagnosis of ibd is high, and cte is of great value in the differential diagnosis of ud and cd.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Application Value of Total Knee Arthroplasty plus Platelet-Rich Plasma Therapy in Traumatic Arthritis of the Knee

This work is aimed at determining the application value of platelet-rich plasma (prp) therapy plus total knee arthroplasty (tka) in traumatic arthritis (ta) of the knee.Methods.A retrospective study was conducted on 78 cases of ta of the knee admitted between march 2021 and january 2022 to the quanzhou first hospital affiliated to fujian medical university.Based on different treatment methods, 38 cases treated with tka were assigned to the control group, and 40 cases intervened by prp+tka were included in the observation group.The operation time (ot), drainage volume (dv), total blood loss (tbl), incision inflammatory reaction rate, and grade a healing rate were recorded.Besides, preoperative and postoperative knee joint hospital for special surgery (hss) scores, knee joint pain assessed by visual analogue scale (vas), knee joint range of motion (rom), and bone metabolism parameters (osteocalcin (ost), total n-terminal propeptide of type i procollagen (t pinp), and β-isomerized c-terminal telopeptides (β-ctx)) were recorded.Results.The observation group showed reduced postoperative dv and tbl than the control group ( p &lt; 0.05 ).The two cohorts differed insignificantly in ot, incision inflammatory response rate, and grade a healing rate ( p &gt; 0.05 ).The observation group also had better improvement in the hss score, pain vas score, and knee rom ( p &lt; 0.05 ).And higher postoperative ost and t pinp levels while lower β-ctx were determined in the observation group ( p &lt; 0.05 ).Conclusions.Prp+tka can validly improve the levels of bone metabolism markers in patients with ta of the knee and promote their knee functional recovery, with favorable safety.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Application Value of Serum Hcy, TLR4, and CRP in the Diagnosis of Cerebral Small Vessel Disease

To evaluate the application value of combined detection of serum homocysteine (hcy), toll-like receptor 4 (tlr4), and c-reactive protein (crp) in the diagnosis of cerebral small vessel disease (csvd).Methods.90 patients with csvd admitted to our hospital within the past year were identified as the research subjects, and the patients with cognitive dysfunction were assigned to the experimental group, and those with normal cognitive function were assigned to the control group according to the evaluation of cognitive dysfunction by the montreal cognitive assessment (mo ca), with 45 cases in each group.Results.The experimental group obtained remarkably elevated hcy levels than the control group p &lt; 0.05 .The patient’s cognitive dysfunction is mainly attributed to the impact of serum hcy.Tlr4 and hcy were negatively correlated with mo ca scores p &gt; 0.05 .In comparison with the control group, the experimental group had significantly higher levels of hcy, serum crp, and interleukin (il)-6 p &lt; 0.05 .Conclusion.The combined detection of serum hcy, tlr4, and crp features a high clinical value in the diagnosis of csvd, which contributes to the prevention and treatment of cognitive dysfunction in patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;