syedzayyan/paper_mill_benchmark huggingface dataset:
Valproic Acid Inhibits Peripheral T Cell Lymphoma Cells Behaviors via Restraining PI3K/AKT Pathway

Alproic acid (vpa) is a clinic antiepileptic drug.Antitumor role of vpa has been studied.The aim of this study was to clarify the treatment effect and potential mechanism of vpa on peripheral t cell lymphomas (ptcls).Materials and methods.Hut 78 cells were obtained from the shanghai cell bank, chinese academy of sciences, and randomly divided into six groups: control, vpa (8 m m), empty vector (nc), mi r-3196 mimics, mi r-3196 inhibitor, and vpa + mi r-3196 mimics groups.Cck-8 assay was performed to clarify the regulative role of vpa on cell proliferation.Flow cytometry was applied to determine the apoptotic rate and ros levels.Mi r-3196 was tested by rt-q pcr.Western blot was used to test the level of p-pi3k and p-akt.Biochemical experiments were used to detect changes in the content of atp, lactate level, and glucose content.Electron microscopy was used to show the structure of mitochondria in hut 78 cells.Results.Vpa greatly promoted the expression of mi r-3196 and inhibited cell proliferation in a dose-dependent manner.Compared with the nc group, the cell apoptosis rate, bax and cleaved-caspase-3 expression, lactate level, ros expression, and glucose content in the vpa group were significantly increased ( p &lt; 0.05 ), and cell proliferation, atp production, and the expression of bcl-2, p-pi3k and p-akt was decreased significantly ( p &lt; 0.05 ).The role of mir-3196 mimics is similar to vpa.While, the mi r-3196 inhibitor had the opposite effect to vpa and mimics.The combination of vpa and mi r-3196 mimics has the most obvious effect.Conclusion.Vpa can inhibit the proliferation of hut 78 cells and promote cell apoptosis and the structure and dysfunction of mitochondria by regulating the activity of the pi3k/akt pathway.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Silencing CAMK2D Promotes the Proliferation of Spermatogonia in the Testis of Experimental Varicocele Rats

Varicocele is regarded as the main factor that contributes to male infertility.This study aimed to explore the effect of camk2d on spermatogonia in the testis of experimental varicocele rats.The experimental varicocele model was established in rats and treated using different ligation methods.M rna expression profile analysis was performed on the left testicular tissue isolated from different groups, and differentially expressed genes (degs) were analysed by bioinformatics methods and identified by q rt-pcr.The effect of camk2d, the screened deg, on the proliferation of spermatogonia was evaluated by cck-8 assay.The expression level of the c-kit was measured by the immunofluorescence assay and the expression levels of camkii, foxo1, and β-catenin were detected by q rt-pcr and western blotting.Five degs (i.e., tmcc3, flnb, camk2d, oplah, and egr1) were screened using the comprehensive analysis of m rna high-throughput sequencing data.Tmcc3 and flnb were significantly downregulated, and camk2d, oplah, and egr1 were dramatically upregulated in the testicular tissue of varicocele rats.The target deg camk2d was obtained through identification by using q rt-pcr.In vitro assays revealed that the proliferation of spermatogonia was significantly facilitated by the silencing of camk2d, which resulted in the downregulation of camkii, foxo1, and β-catenin.In conclusion, silencing camk2d facilitated the proliferation of spermatogonia in the testis of experimental varicocele rats.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
In Silico Identification of Hub Genes as Observing Biomarkers for Gastric Cancer Metastasis

Perception of hub genes engaged in metastatic gastric cancer (m gc) promotes novel ways to diagnose and treat the illness.The goal of this investigation is to recognize the hub genes and reveal its molecular mechanism.In order to explore the potential facts for gastric cancer, the expression profiles of two different datasets were used (gse161533 and gse54129).The genes were confirmed to be part of the ppi network for gastric cancer pathogenesis and prognosis.In cytoscape, the cyto hubba module was used to discover the hub genes.Responsible hub genes were identified.Data from kaplan–meier plotter confirmed the predictive value of these distinct genes in various stages of gastric malignancy.Upregulated and downregulated genes were identified to utilize for further analysis.Positive regulation by a host of viral process, positive regulation of granulocyte differentiation, negative regulation of histone h3–k9 methylation were found in degs analysis.In addition, five kegg pathways were identified as an essential enhancer that include nucleotide excision repair; base excision repair; dna replication; homologous recombination; and complement and coagulation cascades.Pole, bub1b, pold4, c3, blm, cct7, prpf31, apex1, psma7, and cdc45 were chosen as hub genes after combining the ppi results.Our study recommends that bub1b, cct7, apex1, psma7, and cdc45 might be potential biomarkers for gastric cancer.These biomarkers are upregulated genes.Therefore, suppression of these genes will increase the survival rate in gastric cancer patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Vitis vinifera L. Flavones Regulate Hippocampal Neurons via Autophagy in APP/PS1 Alzheimer Model Mice

Alzheimer’s disease (ad) is a neurodegenerative disease and our current treatment approach can only delay its course rather than cure it completely.Flavones from vitis vinifera l.Have been reported to promote synaptic plasticity and indirectly affect the expression of cholinergic neurotransmitters in a rat model of alzheimer’s disease.Objective.The aim of the study is to explore the effect of vitis vinifera l.In app/ps1 alzheimer model mice.Methods.App/ps1 ad mice were used as the research subjects, and the mice were divided into a model group, donepezil group, vtf low-dose group, vtf medium-dose group, and vtf high-dose group.C57bl/6 mice served as a control group.The autophagosomes were observed by a transmission electron microscope, and the expressions of lc3i, lc3iiand beclin-1 were determined by western blotting.The results of q rt-pcr are consistent with western blotting.Results.Vtf can exert a positive regulatory effect on ad mice by inhibiting autophagy.Conclusion.Our study supports that intragastrically administration of vtf is effective and operable in alzheimer’s disease mice, and that inhibition of excessive autophagy may be one of the potential reasons why vtf exerts a therapeutic effect on ad.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Clinical Effects of Outpatient Health Education on Fall Prevention and Self-health Management of Elderly Patients with Chronic Diseases

Elderly patients with chronic diseases (cds) have a higher predilection for falls, with more severe consequences once they fall.Therefore, it is necessary to explore an effective way to prevent falls in elderly patients with cds.Objective.To clarify the clinical effects of outpatient health education on fall prevention and self-health management in elderly patients with cds.Methods.This retrospective study enrolled 102 elderly patients with cds who received treatment in the school of medicine, sir run run shaw hospital of zhejiang university, between january 2019 and december 2020.Patients intervened by routine nursing were assigned to the regular group (n = 48), and those additionally treated with outpatient health education were included in the research group (n = 54).Assessment of patients’ negative emotions (nes) adopted the self-rating anxiety/depression scale (sas/sds), determination of their sense of self-efficacy employed the falls efficacy scale international (fes-i), and their self-care capacity evaluation used the exercise of self-care agency (esca).Patients’ falls, hospitalization time, fall prevention knowledge, fall prevention-related health behavior, and nursing satisfaction were recorded.Results.After the nursing intervention, lower sas, sds, and fes-i scores were determined in the research group versus the regular group; the total esca score assessed from various dimensions was higher in the research group; the research group also exhibited a markedly lower incidence of falls, and shorter hospitalization time than the regular group, with better mastery of fall prevention knowledge, fall prevention-related health behavior and nursing satisfaction.Conclusions.Outpatient health education intervention can prevent senile patients with cds from falling, promote their rehabilitation, and enhance their mastery of fall prevention knowledge; moreover, it can improve patients’ healthy behaviors to prevent falls, mitigate their nes, and improve their sense of self-efficacy and self-care ability, which has high clinical application value.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Path Planning of Storage and Logistics Mobile Robot Based on ACA-E Algorithm

In this paper, warehouse logistics robot as the research object, starting from the reality of modern e-commerce logistics industry, proposed a warehousing logistics mobile robot path planning method.Ant colony algorithm is used to plan the forward path of mobile robot in static and dynamic environment of warehouse logistics.The results show that the elite-based strategy improves the global search capability of aca and eliminates redundant nodes in the path, and the path length of the obtained plan is significantly better than that of traditional aca, which is reduced by 3.46% and 5.90%, respectively, indicating that the elite-based strategy and the central-point-based smoothing method play their roles.The path length of the robot’s final operation is larger than that of the global path planning, which increases by 1, accounting for 6.67% of the original path length.Therefore, the storage and logistics mobile robot based on aca-e algorithm has short driving distance and superior obstacle avoidance ability.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Plantosphere: Next Generation Adaptive and Smart Agriculture System

Around 75% of the population in india is engaged in agriculture and farming.The sustainability of every economy is based on agriculture.It has a major influence on financial growth and fundamental transformation in the long run.Artificial intelligence will usher in a revolution in agricultural operations in the future.This revolution has protected crops from being negatively affected by a variety of factors such as climate change, soil porosity, and water availability.Crop monitoring, soil management, and insect identification, to name a few examples, are all conceivable uses of artificial intelligence in agriculture.The primary purpose of artificial intelligence is to close the knowledge gap that exists between inventors and farmers.Detecting disease and monitoring plant health are two of the most difficult challenges in sustainable farming.As a result, image processing technology must be used to detect plant sickness at an early stage.Photographic capture, preprocessing, segmentation, feature extraction, and sickness categorization are all part of the procedure.In reality, computer image processing was used long before human eyes were able to detect the signs and symptoms of the disease.Taking into account the climatic conditions in various parts of the world.Climate change directly affects crop output.Several soil and atmospheric characteristics are detected to anticipate the optimal crop.Sedimentation is measured by soil parameters such as p h and moisture.Today, a platform that allows farmers to advertise their products is in high demand.This paper proposes a system where farmers sell directly to clients, bypassing wholesalers and traders.A predictive analytics solution is required to maximize the farmer’s profit.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Optimization of Interactive Animation Capture System for Human Upper Limb Movement Based on XSENS Sensor

This paper uses the xsens sensor inertial motion capture device to collect the experimental data of the human body’s typical motion and posture‐upper limb movement, based on the angular acceleration kinematics parameters of the human body’s upper limbs and upper limbs.We study the characteristics of human kinematics, statics, and dynamics and construct the upper limb movement model of the human body.Secondly, based on the principle of human anatomy, the human body is divided into 23 segments, with 18 upper limbs and 36 degrees of freedom; some anatomical terms are defined, and a unified coordinate system for the upper limb model of the human body is planned and established.In the process of experimental simulation, on the basis of analyzing and summarizing the laws and characteristics of the upper limb angles of the hip upper limbs, knee upper limbs, and ankle upper limbs during walking, a general function of the upper limb angles of the three upper limbs changing with time during walking was established.On the basis of analyzing 40 sets of upper limb movement data, with the three parameters of height, weight, and upper limb movement cycle as independent variables, the general function coefficient solving equation is given through function fitting.Finally, the production of interactive animation of upper limb movement is taken as an example.Based on the acceleration sensor and three‐axis gyroscope, the limbs during the movement of the upper limb motion data are collected, preprocessed, and transmitted, and then, coordinate correction and data filtering are used to output quaternary parameters to give maya an animated character model.The animation interactive demonstration is carried out in the way of web 3d, and the xsens sensor is explored in the animation capture.

Journal: Journal of Sensors (2021)
Publication types: Research Article;
Construction and Application of Index System for Integration of Red Cultural Resources and Ideological and Political Education Based on Fuzzy Judgment Method

This article states the fuzzy judgment method of the established index system around the history resources and red cultural resources.Firstly, in the second part, it summarizes the system of red culture in ideology and politics and the concepts of various resources of red culture.Then, in the third part, through the construction of the judgment index system, three judgment methods of the index system are put forward, which are the rank sum ratio judgment method, comprehensive index judgment method, and analytic hierarchy process (ahp) judgment method, and the weight judgment calculation of the index system is put forward.Finally, the fourth part puts forward the red cultural resource judgment method of the index system weight, but universities should enhance the cultural heritage of resource system.Besides this theory, the article also analyzes the necessity and effectiveness of the integration of red culture in the new era.This will help to investigate and test the current situation of red culture integrating into the local university foundation.Red culture is the culture formed under the red background, that is, the revolutionary war era.The special background of the times endows red culture with unique vitality, which makes it a unique component of china’s advanced culture.Red culture has been finally condensed into a representative culture with chinese characteristics, which contains endless spiritual wealth.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Innovative Sensor Design Method of Industrial Ceramic Product Modeling Based on Immune Optimization Algorithm

A new method based on immune optimization algorithm was proposed for modeling and design of industrial ceramic products.Based on the joint coding of fuzzy rules and membership function parameters, an improved immune optimization algorithm was used to realize the synchronous optimization of industrial ceramic product modeling.A superheated steam temperature control system is taken as an example to carry out simulation tests.The results show that the ratio of the unit volume to the side length is between 0 and 1, which is called the mass of the grid element.Zero is the worst quality and one is the best.Element aspect ratio and distortion degree are also basic inspection indexes.The average mass of vacuum glass is 0.86, the aspect ratio is 1.71, and the element distortion degree is 0.13, indicating that the grid quality is well divided.It is proved that using the improved immune genetic algorithm to optimize fuzzy control can overcome the defects of the traditional genetic algorithm and ensure the faster and more stable search for the optimal rule base and membership function.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
A Novel Multidose Dry Powder Inhaler and Its Application in Patients with Asthma and COPD

Patient and physician satisfaction with the maintenance inhaler device is an important factor in medication adherence and effectiveness in respiratory disorders.We look at inhaler preferences in asthma and chronic obstructive pulmonary disease (copd) from both the patient's and physician’s perspectives, emphasizing the relative importance of device features and patient considerations in inhaler selection.Teva pharmaceuticals developed the multidose dry powder inhaler (m-ddpi) to treat chronic respiratory diseases.It is a metered-dose dry powder inhaler device intended to seem like a standard pressured metered-dose inhaler, but its internal geometry is somewhat distinctive.Inhalation treatment permits medication delivered directly to the airways.Inhalation devices serve a vital role in the therapy of obstructive lung illnesses such as asthma and copd.The purpose of this research is to see how m-ddpi achieves maximum bronchial deposition of the medicine; the device must provide a high percentage of small particles, be simple to operate, and supply continuous and exact dosages of the active ingredient in copd and asthma patients.Patients with copd and asthma who had been diagnosed and treated at the hospital were first recruited as research participants and split into two groups.The control group got oxygen therapy as part of their standard treatment, whereas the experimental group received m-ddpi therapy.Statistical analysis techniques such as the mann-whitney u test and chi-squared test were used to examine the effects.The data show that the efficacies of m-ddpi therapy for copd and asthma for obstructive lung illnesses seem to be promising right now.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Research Progress on the Molecular Mechanism of EGCG3 Me in the Treatment of Diabetes Based on Visual Sensor Images

Diabetes is a chronic metabolic disease with abnormal blood glucose and lipid metabolism caused by insufficient insulin secretion, which seriously affects human health.For solving the problem of treating diabetes, it is particularly important to observe the research progress of the molecular mechanism of egcg3 ′′ me in the treatment of diabetes based on visual sensor images.This research has not been verified in practice, but many scientists are already studying it.This article is aimed at studying the molecular mechanism of using egcg3 ′′ me to treat diabetes based on visual sensor images.This article introduces the concept and application of visual image sensor in detail, using a superpixel segmentation method to realize image observation.The egcg3 ′′ me was extracted and used in diabetes treatment experiments.The experimental results showed that the blood glucose of the mice in the experimental group had returned to normal 60 minutes after the administration of glucose in the blank control group, and the blood glucose of the mice in the control group had basically returned to normal after 120 minutes.Compared with the model group, the number of acinar paging and the number of cells in the pancreatic islets increased in the mice after egcg3 ′′ me treatment, indicating that egcg3 ′′ me has the effect of protecting and repairing pancreatic islet cells.

Journal: Journal of Sensors (2021)
Publication types: Research Article;
Consumption Behavior Prediction Based on Multiobjective Evolutionary Algorithm

Consumption behavior prediction reveals customer attributes, personal preferences, and intrinsic laws.Organizations would benefit from knowing further about customer needs and business desires by monitoring client behavior to provide more precise recommendations and boost acquisition rates.The economics of the customer, buyer groupings, and product quality are only a few of the numerous variables that influence customer behavior.The key issue that has to be resolved at this time is how to filter out useful information from these vast amounts of data to forecast customer behavior.For customer consumption behavior prediction and analysis with an advanced quantitative research process, we proposed the multiobjective evolutionary algorithm, which significantly boosts the accuracy of consumption behavior predictions.The dataset is initially gathered based on consumer preferences and behaviors as the essential information for the entire prediction model.Min-max normalization is used as a component of the preprocessing of the data to get the elimination of redundant and superfluous data.The word2vec model is utilized for feature extraction, and boosted ant colony optimization (baco) is employed to choose the best features.Utilizing the suggested multiobjective evolutionary algorithm (moea), the predictions are made.The suggested system’s performance is assessed, and the metrics are contrasted with more established methods.The findings demonstrate that the suggested moea technique performs well than the traditional ml, xgb, ai, and hnb algorithm methods in terms of accuracy (95 percent), quality of prediction (97 percent), precision (99 percent), recall (93 percent), f 1 -score (98 percent), and prediction time (50 seconds).Hence, the outcomes show that the regression model is sustainable.The suggested consumption behavior prediction system has demonstrated its efficiency in boosting profitability.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
The Application of Traditional Chinese Woodcut Printmaking Language in Digital Painting Based on Intelligent Computing

With the passage of time, information technology has been implicitly embedded in people’s lives, bringing an important impact on artists’ creations.Modern painting technology is advanced, using electronic products, digital devices, electronic hand-painting tools, and other equipment to simulate the real texture of brush strokes to paint the style and effect the artist seeks.The integration of woodcut prints into digital painting has enriched the form of digital painting, and one of the characteristics of digital illustration is its fast dissemination, which is more powerful to promote the charm of traditional art.In the new era, with new technology, we consider whether we can combine the digital painting style, expression, woodcut language, and cultural connotation of ancient chinese woodcut prints with digital technology and use new methods and forms to speak about the unique and essential attributes of ancient chinese woodcut prints to be innovated and continued.The emotional motivation and the implicit, obscure connotations of the art of painting are not as far apart as they seem, although they are more like logical computerized counterparts.The continued development of artificial intelligence has made it possible for computers to create paintings independently.This paper explores a process flow model for digital painting based on intelligent computing and effectively incorporates the language of traditional chinese woodcut printmaking while looking at future trends in this field.

Journal: Journal of Sensors (2022)
Publication types: Research Article;