syedzayyan/paper_mill_benchmark huggingface dataset:
Application of 3D Virtual Reality Sensor in Tourist Scenic Navigation System

In order to solve the application of 3d virtual reality technology in the practical development of scenic spot navigation system, this paper proposes a scenic spot navigation system based on multimedia technology and component geographic information system (com gis).The system takes visual basic 6.0, map objectst2.4, and geo lod 4.0 as the development platform and develops the tourism navigation system based on component gis and multimedia technology, which manages nonspatial data with access 2003.The results are as follows: the path length designed by the system in this paper and the three compared navigation apps is 1.56 km, respectively.Although the path designed in this paper is not the shortest, the number of scenic spots passed by this path is up to 6; the accuracy of the navigation system designed in this paper is 97.2%, about 5% higher than that of similar navigation apps; 55.2% of users felt that the navigation system designed in this paper was excellent.The results show that the system can basically meet the needs of tourists, hoping to promote the information construction of tourism.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Recurrent Neural Networks for Feature Extraction from Dengue Fever

Dengue fever modelling in endemic locations is critical to reducing outbreaks and improving vector-borne illness control.Early projections of dengue are a crucial tool for disease control because of the unavailability of treatments and universal vaccination.Neural networks have made significant contributions to public health in a variety of ways.In this paper, we develop a deep learning modelling using random forest (rf) that helps extract the features of the dengue fever from the text datasets.The proposed modelling involves the data collection, preprocessing of the input texts, and feature extraction.The extracted features are studied to test how well the feature extraction using rf is effective on dengue datasets.The simulation result shows that the proposed method achieves higher degree of accuracy that offers an improvement of more than 12% than the existing methods in extracting the features from the input datasets than the other feature extraction methods.Further, the study reduces the errors associated with feature extraction that is 10% lesser than the other existing methods, and this shows the efficacy of the model.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Effect of Narrative Nursing on Family Resilience and Psychosocial Adaptation of Middle-Aged Patients with Breast Cancer

Patients with breast cancer frequently experience psychological distress.This study aimed to investigate the effect of narrative nursing on middle-aged patients with breast cancer.In all, 82 patients with breast cancer admitted to the affiliated hospital of nantong university were divided into two groups, namely, the observation group and the control group, by simple random sampling, with 41 cases in each group.The patients in both groups were treated with breast cancer surgery.Additionally, the control group received routine nursing, whereas the observation group received narrative nursing based on the control group.After 8 weeks of nursing, the sas (self-rating anxiety scale) and sds (self-rating depression scale) scores in the observation group were lower than those in the control group ( p &lt; 0.01 ).At the same time, the result of family hardiness showed that the patients with narrative nursing performed better in commitment, challenge, and control ( p &lt; 0.01 ).In conclusion, narrative nursing can alleviate the postoperative shame and negative emotions of patients with breast cancer and improve their quality of life.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Effects of Rapid Rehabilitation Nursing Based on the Syndrome Differentiation and Treatment Theory of TCM on Sleep and Life Quality of Patients Undergoing Multi-Endoscope Gallbladder-Preserving Cholecystolithotomy

The current study aimed to explore the effects of rapid rehabilitation nursing based on the syndrome differentiation and treatment theory of traditional chinese medicine (tcm) on the sleep and life quality of patients undergoing multi-endoscope gallbladder-preserving cholecystolithotomy (megpcl).Methods.112 patients who underwent megpcl were chosen as subjects for this study.These 112 subjects were randomly divided into observational and control groups, with 56 cases in each group.The control group was treated with conventional western medicine rapid rehabilitation nursing intervention, and the observation group was treated with tcm treatment theory of syndrome differentiation rapid rehabilitation nursing intervention.The recovery rates of gastrointestinal function of the two groups werecompared and evaluated.The psychological resilience, pain degree, treatment compliance, self-care ability, sleep quality, and patient’s life quality prior to and following the interventive therapy were determined by the cd-risc, sf-mpq, kolcaba score, bmq, esca, psqi, and glqi, respectively.The prevalence of postoperative complications such as different infections and lower limb venous thrombosis during hospitalization were statistically analyzed in the two designed groups.Results.It was revealed that in the observation group, the time span for anus exhaust and anus defecation, bowel sound recovery, feeding, and hospital stay was less than in the control group (all p &lt; 0.05 ).After the intervention, kolcaba and cd-risc scores were higher in the observation group as compared to control group, while sf-mpq scores were less than the control group (all p &lt; 0.05 ).Bmq, esca, and glqi scores were also higher in the observation group, and psqi score was less than the control group (all p &lt; 0.05 ).It was also observed that the incidence of postoperative complications was lower in the observation group (all p &lt; 0.05 ).Conclusion.The application of tcm syndrome differentiation theory in the rehabilitation nursing of patients undergoing megpcl can improve treatment compliance, relieve postoperative pain, promote postoperative gastrointestinal function recovery, restores sleep quality, and improve patients’ life quality.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Relationship between Serum TSH Level and Adverse Pregnancy Outcome in Advanced Maternal Age

The purpose of this paper is to explore the relationship between serum thyroid-stimulating hormone (tsh) levels and adverse pregnancy outcomes in advanced maternal age.A total of 97 elderly parturient women who were treated in our hospital from june 2020 to march 2021 are included in this study.According to the tsh level, the parturient women are divided into three groups, including a (&lt;0.25 μiu/ml), b (&gt;4.00 μiu/ml), and c (0.25–4.00 μiu/ml) groups.The clinical data of all parturients are collected and sorted out.The serum levels of tsh, free triiodothyronine (ft3), and free thyroxine (ft4) are measured by chemiluminescence immunoassay.The levels of immunoglobulin (ig) a, ig g, and ig m are determined by immunoturbidimetry.The incidence of adverse pregnancy outcomes is analyzed.The birth weight and apgar score of newborns in the three groups are compared.The tsh level in group a is significantly lower than that in groups b and c, but the levels of ft3 and ft4 in group a are notably higher than those in groups b and c (p &lt; 0.05).The levels of ig a, ig g, and ig m in group a are significantly higher than those in groups b and c (p &lt; 0.05).The incidence of adverse pregnancy outcomes in group c is 2.38%, which is obviously lower than the 20.00% in group a and 17.14% in group b (p &lt; 0.05).The birth weight and apgar score of infants in group a and group b are significantly lower than those in group c (p &lt; 0.05).Tsh has a great influence on the pregnancy outcome in advanced maternal age, which should be paid more attention in clinic.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Prevention of Dexmedetomidine on Postoperative Delirium and Early Postoperative Cognitive Dysfunction in Elderly Patients Undergoing Thoracoscopic Lobectomy

To investigate the effect of dexmedetomidine on postoperative cognitive function and delirium in elderly patients undergoing thoracoscopic lobectomy.Methods.109 elderly patients (age is more than 65 years) who underwent thoracoscopic lobectomy in our hospital from june 2020 to feb 2022 were randomly divided into the dexmedetomidine (dex) group (n = 54) and the control group (n = 55).The patients in the experimental group were given dexmedetomidine by intravenous pump, intravenous pump 0.5 μg/kg within 10 minutes, and maintained the speed of 0.5 μg/(kg.H) to 30 min before the operation was ended.The control group was given the same amount of normal saline.Delirium assessment-severity (cam-s) assessment and mini-cog were used to assess the severity levels of pod and pocd 24 h before, 6 hours after, one day after the operation, three days after the operation, and 1 week after the operation.Serum tnf-αα and nse levels were assessed by using enzyme-linked immunosorbent assay.Nrs pain marks were assessed in the dex group at postanesthesia care unit (pacu) and 24 postoperation.Surgical pierhysmographic index (spi) evaluation was performed at five time points.Results.The mini-cog scores in the dex group were markedly enhanced compared with those in the saline group 6 and 24 hours after the operation.The spi values in the dex group were markedly reduced within 2 min after intubation and at surgical sutures.Moreover, the cam scores in the dex group were markedly reduced 24 hours after the operation.Tumor necrosis factor-α (tnf-α) and neuron-specific enolase (nse) levels were significantly decreased in the dex group at t1∼t3.Conclusion.The use of dexmedetomidine in the thoracoscopic lobectomy in elderly patients could reduce the occurrence and severity of postoperative cognitive dysfunction and delirium.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;
Study on the Changes of Intestinal Microflora Structure in Long-Term Night Shift Nurses

To investigate the influence of long-term night shift nurses on the composition.Methods.The feces of 30 night shift nurses (test group) and 30 day shift nurses (control group) over 1 year were collected, and double-end sequencing based on bacterial 16s r dna v3 + v4 and fungal 18s r dna v3 + v4 was used to determine the differences by otu clustering, diversity, flora abundance, and differential analysis.The results of 60 samples were sequenced for a total of 3, 052.There were 418 high-quality sequences, each sample produced an average of 50, 874 high-quality sequences.The otu cluster analysis revealed that the number of otus was 365.The number of day-shift shift otus was 362.There was no significant difference ( p &lt; 0.05 ).There was no significant statistical difference in the chao, ace, shan’non, and simpson index between the 2 groups ( p &gt; 0.05 ).Differential analysis of gut microflora between 2 groups showed that at the phylum level, the relative abundance of firmicutes in long-term night shift nurses was higher than in day shift nurses.However, the relative abundance of bacteroidetes was lower than that of white shift nurses (all p &lt; 0.05 ).At the genus level, long-term night shift nurses’ bacteroides, faecacterium, and bifidobacterial were lower than that of white shift nurses ( p &lt; 0.05 ).However, the relative abundance of prevotella and megomonas was higher than that of white shift nurses (all p &lt; 0.05 ).Conclusion.There are differences between night shift nurses, which lead to a decrease in intestinal probiotic flora and increased conditional pathogenic flora.Nursing managers should improve the intestinal flora change of night shift nurses through reasonable scheduling and dietary regulation.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents

Spectacular developments in molecular and cellular biology have led to important discoveries in cancer research.Despite cancer is one of the major causes of morbidity and mortality globally, diabetes is one of the most leading sources of group of disorders.Artificial intelligence (ai) has been considered the fourth industrial revolution machine.The most major hurdles in drug discovery and development are the time and expenditures required to sustain the drug research pipeline.Large amounts of data can be explored and generated by ai, which can then be converted into useful knowledge.Because of this, the world’s largest drug companies have already begun to use ai in their drug development research.In the present era, ai has a huge amount of potential for the rapid discovery and development of new anticancer drugs.Clinical studies, electronic medical records, high-resolution medical imaging, and genomic assessments are just a few of the tools that could aid drug development.Large data sets are available to researchers in the pharmaceutical and medical fields, which can be analyzed by advanced ai systems.This review looked at how computational biology and ai technologies may be utilized in cancer precision drug development by combining knowledge of cancer medicines, drug resistance, and structural biology.This review also highlighted a realistic assessment of the potential for ai in understanding and managing diabetes.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
The Significance of Three-Dimensional Team Management in the Medical Community Model for Patients with Hypertension and Diabetes

Diabetes and hypertension are the most common diseases and often coexist.Currently, hypertension is the most widespread chronic disease in china.To explore the value of three-dimensional team management in improving the effect of the management of primary diabetes and hypertension in patients in the medical community model, the expert team at the department of cardiology and endocrinology of anji county people’s hospital is selected to train 59 community general practitioners in the medical community model (the study group adopts the three-dimensional team management model in the medical community model), and another 59 community medical general practitioners adopts the conventional training method (the control group).The two groups of doctors managed patients with diabetes and hypertension who are registered in the jurisdiction (200 patients per group) as per the respective training methods.The three-dimensional management of the team under the medical community model significantly improves the diagnostic and treatment capabilities of grassroot general practitioners to better control patients’ diabetes and hypertension levels.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality

Increased quantities of the same sort of item are not nearly as critical to client happiness as a high-quality product.The requirements and expectations of the consumer have an impact on the overall quality of a product or service.The term “quality” may also be defined as the sum total of all the features that contribute to the production of goods and services that are satisfactory to the consumer.Certain imported commodities have lately seen an improvement in quality thanks to efforts by importing nations.Additionally, it safeguards food imported from other nations by confirming that it is safe for human consumption before it is released.This article describes a technique for monitoring perishable goods that is based on the internet of things and machine learning.Pictures are recorded using high-resolution cameras in this suggested architecture, and then these images are sent to a cloud server using internet of things devices.When uploaded to a cloud server, these photos are segmented using the k-means clustering method.Then, using the principal component analysis technique, features are extracted from the photos, and the images are categorized using machine learning models that have been trained.This proposed model makes use of the internet of things, image processing, and machine learning to monitor perishable food.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Effects of Sports Drinks on Weight Loss Control and Lipid Metabolism in Overweight Students

In order to explore how sports drinks can achieve weight loss control and lipid metabolism in college students, the author proposes an experiment based on weight loss control and lipid metabolism in college students.This experiment recommends key technical problems and solutions based on information represented by college students’ weight loss control, a study exploring how sports drinks can achieve weight loss control in college students.Research has shown that jupu sports drink is more suitable than 87% of sports drinks on the market for college students to lose weight.Sports drinks have a positive effect on maintaining a high blood sugar level during exercise and have a certain antifatigue effect in mass fitness.Jupu sports drink not only has the effect of other sports drinks but also has a certain effect on weight loss control.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Application of Green Ecological Design in Food Packaging Design

In order to put an end to the widespread existence of excessive packaging and to reduce the packaging cost beyond the value of the product itself, it has caused harm to the environment and serious waste of resources.In this paper, a food packaging design based on green ecological design is proposed.Through the discussion of the theoretical framework of ecological design and the study of ecological materials for food packaging, the ecological design principles of green ecological food packaging are summarized to better guide the packaging design.The experiment shows that, through the 7-month experimental comparison and tracking of a biscuit food, although the sales volume of the product has not increased significantly, or even may decline, the cost of the product has been reduced by 20∼30%, thus increasing the profit of the product by 30∼40%.Conclusion.The experiment shows that food packaging design based on green ecology can effectively promote the sales and turnover of products, is friendly to the environment, and can also bring profits to enterprises.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Elucidation of Nature of Gene Action and Estimation of Combining Ability Effects for Fruit Yield Improvement and Yield Attributing Traits in Brinjal Landraces

Genetic progress in quantitative traits can be improved by understanding how genes interact and estimating the consequences of combining abilities.As a result, a randomized block design with three replications was used to conduct forty crossings using a line x tester mating design with ten lines and four testers.All of the qualities were shown to be highly variable based on the anova (analysis of variance) results among lines, testers, and hybrids.An estimated predictability ratio showed a high prevalence of nonadditive gene action, which was further confirmed by the lower narrow-sense heritability values for all traits.Most of the characters had high general combining ability and specific combining ability estimates, showing the relevance of both additive and nonadditive gene effects, respectively.For all of these features, however, the specific combining ability variations were greater than the general combining ability variances.Since heterosis breeding can lead to better hybrids, it may be a good idea to do so.For most yield-related parameters, such as fruit diameter, fruit per plant, marketable fruit per plant, yield per plant, marketable yield per plant, and total yield, rkml-26 and rkml-34 were the best general combiners among all lines.So, these lines might be employed as parents in hybridization programme in future to get suitable recombinants for higher fruit yield.However, the best cross combinations for commercial hybrid exploitation were rkml-26 x pusa purple cluster (ppc) and rkml-2 x swarna shyamli.These crosses exhibiting higher per se performance and desirable specific combining ability effects together with either both or at least one parent as a competent combiner would be rewarding for heterosis breeding.Combining traditional breeding methods with biotechnological approaches, according to a new study, is critical for the transfer of favorable genes (traits) into farmed plants.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Effect of Nutritional Protein Food on Metabolism and Physical Fitness of Wushu Athletes

In order to greatly improve the physical function of martial arts athletes, this topic studies the effect of high-protein food on the physical function of martial arts athletes.Forty-five athletes in martial arts events took 5 g of high-protein food every day, 6 times a week for 4weeks, and the left and right forearm, calcaneus bone mineral density, and venous blood was drawn to detect bone metabolism and biochemical indicators related to physical function.The experimental results showed that the bone mineral density of the right calcaneus of male martial arts athletes increased significantly after taking high-protein food, and the bone mineral density of left and right forearms and calcaneus of female martial arts athletes increased significantly.After taking high-protein food, the serum calcium and phosphorus of female athletes and the serum calcium of male athletes were significantly increased.Sex decreased, female athletes significantly decreased serum creatine kinase, and male athletes significantly increased ig m.It can be seen that taking high-protein food for 4 weeks has a certain improvement effect on the bone mineral density of female athletes’ forearm and calcaneus, but has little effect on the bone mineral density of male athletes’ forearm and calcaneus.It can be concluded that high-protein food has no adverse effect on athletes’ bone metabolism, blood biochemical indexes, and immune globulin, and can better maintain the physical function level of martial arts athletes.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;