syedzayyan/paper_mill_benchmark huggingface dataset:
Bioinspired Synthesis of Zinc Molybdate Nanoparticles: An Efficient Material for Growth Inhibition of Escherichia coli, Staphylococcus aureus, and Dye Remediation

Zinc molybdate nanoparticles with molybdate are synthesized through green method with different salt precursors using moringa oleifera leaf extract.Those nanoparticles had structural, vibrational, and morphological properties, which were determined by x-ray diffraction (xrd).The crystalline size of synthesized zinc molybdate was 24.9 nm.Fourier transform infrared (ftir) spectroscopy and field emission scanning electron microscopy (fe-sem) clearly showed the attachment of molybdate with zn o.The synthesized nanomaterial was also characterized through uv-visible spectroscopy which had 4.40 e v band gap energy.Those nanoparticles were also characterized via thermogravimetric analysis (tga-dta) and photoluminance spectroscopy (pl).Zn mo o4 had photocatalytic property via methylene blue dye.After 190 minutes, the dye changed to colourless from blue colour.The degradation efficiency was around 92.8%.It also showed their antibacterial effect via escherichia coli and staphylococcusaureus bacterial strains.In the presence of light and air, nanoparticles of zn mo o4 inhibit the growth of cells of e.Coli and s.Aureus bacterial strains because of ros (reactive oxygen species) generation.Because of the formation of singlet oxygen ( o 2 ∗ − ), hydrogen oxide radical ( − o h ∗ ), and hydrogen peroxide (h2o2), zn mo o4 showed photodegradation reaction against aq.Solution of methylene blue dye at 6 p h with constant time interval.With time, the activity of zn mo o4 also decreased because of the generation of a layer of hydrogen oxide (-oh) on nanomaterial surface, which could be washed with ethanol and distilled water.After drying, the catalytic zinc molybdate nanoparticles could be reused again in the next catalytic reaction.

Journal: Bioinorganic Chemistry and Applications (2023)
Publication types: Research Article;
Automatic Diagnosis of Elbow Arthritis Based on Edge Algorithm

Osteoarthritis is an age-related degenerative joint disease; it is mainly because the cartilage tissue between bones is worn and thinned, which leads to the damage of the periosteum and bone including the surrounding ligaments.Clinically, its manifestations are mainly joint pain, swelling, stiffness, and even partial loss of function, which seriously affects the quality of life of patients.The main clinical manifestations are elbow joint pain and limited movement.Elbow articular cartilage degenerates and falls off, and the more serious manifestation is subchondral hyperosteogeny and sclerosis, which leads to unsmooth articular surface and narrow joint space.Finally, elbow joint pain is severe with different degrees of mobility disorder, elbow joint extension and flexion range is getting smaller and smaller, and elbow joint pain is getting more and more serious.In this paper, the segmentation of left and right elbow images is completed based on gray projection through the analysis of image gray distribution.After obtaining the region of interest of elbow joint, the extraction algorithm of elbow joint hard bone edge is studied.Firstly, the extraction of elbow joint hard bone contour edge is completed based on active shape model algorithm combined with image characteristics.Finally, according to the extraction results of hard bone contour edge, this paper realizes the automatic diagnosis of multiple elbow arthritis indexes and compares with the results given by the image set, which proves that the whole algorithm has good adaptability and accuracy.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Combination of Fruit and Vegetable Storage and Fresh-Keeping with Postharvest Heat Treatment

Hot water treatment can effectively improve the storage quality and shelf life of harvested vegetables.The essence of this method is the heat transfer process in which heat is transferred from the high-temperature treatment medium to the low-temperature fruit and vegetable tissues.However, most of the current research projects only focus on the effect of heat treatment on the biological aspects of fruits and vegetables.From the perspective of fruit and vegetable storage and preservation, there are few internal mechanisms that heat treatment affects biological preservation, and most of the research projects only focus on continuous heat treatment.This article aims to study the combination of storage and preservation of fruits and vegetables with postharvest processing technology.To this end, this article proposes the combined use of heat treatment technology through the analysis and improvement of data acquisition problems in the heat treatment process to make the data obtained more reliable and, at the same time, design experiments to explore the improved heat treatment technology.The experimental results in this paper show that the improved storage and preservation of fruits and vegetables combined with postharvest heat treatment technology improves the preservation of fruits and vegetables by 37%.In addition, the overall taste of fruits and vegetables during the preservation process has not been greatly lost, only reduced by 7%, which can be well applied to actual fruit and vegetable processing.

Journal: Journal of Chemistry (2022)
Publication types: Research Article;
Assessment of College Entrepreneurship and Innovation Education Effect for Sci-Tech Service Industry

Based on the analysis of the importance and necessity of evaluating the college entrepreneurship and innovation (e&amp;i) education effect for the sci‐tech service (sts) industry, from four aspects of top‐layer design, college environment, faculty and learner assessment, an assessment index system for the effect of college e&amp;i education is constructed.Through analytic hierarchy process (ahp), this paper also makes a comprehensive and objective assessment and analysis on the effect of college e&amp;i education, which is oriented to the sts industry.Among the primary layer indicators, the weight coefficient of learner assessment is 0.4444, followed by the faculty, and the weight coefficient is 0.3061.Additionally, this proves that lecturers and learners are the focus and primary body of e&amp;i education activities in colleges for sts industry.The theoretical concept and practical ability of learners is the most important index to test the assessment of e&amp;i education effect.Lecturers’ teaching methods and their own experience are important for the effect assessment of e&amp;i education, and the environment of e&amp;i education is important for the effect assessment of education.The construction of innovative and entrepreneurial lecturers is critical to education effect assessment.

Journal: Discrete Dynamics in Nature and Society (2022)
Publication types: Research Article;
Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values

As the competition between enterprises intensifies, employees have witnessed a decline of psychological health year by year and severe anxiety and depression.To ensure the normal work of employees, it is important to implement psychological occupational therapy intervention (poti).The previous studies on corporate occupational values focus on the behavioral variables and attitude variables related to occupations.The research paradigm does not suit a specific group of employees.Therefore, this paper explores the individual differences in poti guided by the realization of occupational values.For a specific group of employees, the correlations of the psychological problems with job attitude, job involvement, and psychological health level were reasoned logically, a theoretical model was established, and the full-model map was plotted to illustrate the influence of the realization of occupational values over poti.Then, the evaluation data on the psychological intervention effect of 2,800 employees were explored based on multikernel learning, and an individual difference prediction model was constructed through multikernel learning.Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm.

Journal: Occupational Therapy International (2022)
Publication types: Research Article;
Apprehending the Effect of Internet of Things (IoT) Enables Big Data Processing through Multinetwork in Supporting High-Quality Food Products to Reduce Breast Cancer

Medical science in recent times has witnessed the large implications of ai-based io t approaches that made the clinical process easier than before.However, effective io t technologies can connect as well as exchange necessary clinical data with other healthcare systems and devices conducted across the vast internet facilities.With the help of io t-enabled big data processing technologies, physicians can measure accurate weight, blood pressure, and daily symptoms related to spreading breast cancer cases across the globe.Utilizing io t is essential for providing proper medical assistance, treatment, and detection at the initial stages within the healthcare environment regulated by the facilities of the internet of things.The implementation of io t-based big data processes food products for supporting the detection and prevention of breast cancer.The study supports in making a critical analysis on the role of io t in the big data mainly in cancer detection and increasing the quality of food products.The study’s main scope is to employ io t-enabled big data processing to aid in the identification of breast cancer.However, the research is mainly focused on studying the assistance offered to healthcare professionals and others in identifying the disease effectively.The overall research study is going to investigate the role of io t in the early detection of breast cancer symptoms.A total of 20 women were studied and certain factors have been identified which are the early symptoms of breast cancer and can potentially cause breast cancer.These include age, family history, breast density, and breast temperature (independent variables).A dependent variable has been selected: probability of breast cancer occurrence.After that, linear regression analysis has been carried out to understand how the independent variables impact the dependent variable.Findings showed that age, family history of cancer, breast density, and breast temperature are some measurable factors for breast cancer detection.The work contributes to a critical investigation of the function of io t in big data, specifically in cancer detection and improving food product quality.Age acceleration increases the risk of breast cancer development; breast temperature increases slightly during cancer formation, and breast density has a positive impact on cancer development.Lastly, this study has provided a future scope of using io t in cancer detection and prevention.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Application Research of Wireless Sensor Network Based on Computer BIM Technology and ZigBee in Interior Art Design

With the rapid development of computer technology and automation technology, modern interior art design has attracted more and more attention.This paper chooses bim technology and zig bee technology, which have the advantages of low cost, low power consumption, low complexity, etc., and can be used to establish the communication protocol of indoor art design and home wireless network, so as to achieve residential comfort and wireless data security transmission and convenient, real-time monitoring.This paper starts with many environmental parameters that are closely related to human comfort, such as temperature and humidity, light, and air cleanliness, and conducts an investigation on the comfort of intelligent houses and the appreciation of modern indoor art; this paper discusses the security of bim and zig bee and the algorithm of aes starting from the specific implementation process; according to the internal characteristics and password requirements of the family, a smart home safety net is constructed and encrypted, so as to ensure the safe transmission of family information; complete the modern artistic design of the home controller.The hardware and software were constructed, and a web server was constructed on linux, which was invoked using the cgi interface, thereby connecting the web server to the terminal device that was comfortably controlled.The test proves that the control scheme can work normally in the laboratory network, which has great guiding significance for practical work.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Application of Nanoparticles in Diagnosis and Treatment of Pancreatic Cancer

In order to study the application of nanoparticles in the diagnosis and treatment of pancreatic cancer, we retrospectively analyzed pancreatic cancer patients after operation.Method .60 cases of pancreatic cancer and surgical treatment were selected from our hospital.The time ranged from march 2018 to march 2019.The age ranged from 27 to 81 years.There were 36 males and 24 females, with an average age of 46.23 (7.63) years.Among them, the observation group consisted of nanotube artificial tubes, 16 males and 14 females, while the control group adopted nylon tube, male 18 and female 12.The patient was diagnosed by abdominal ct, and the patient’s demographic data and basic clinical data were recorded at the same time.Result .In this study, 60 patients were divided into groups and compared.The patients underwent surgical resection of pancreaticoduodenum and reconstruction of pancreaticoduodenal papillary duct.Among them, the observation group used nanocomposite artificial tube, while the observation group used nanocomposite artificial tube and placed drainage tube to drain the peritoneal effusion to prevent the effusion from forming in abdominal hypertension and infection.The amount of postoperative bleeding, operation time, and postoperative concomitant symptoms were observed, and the differences between the two materials were analyzed.Conclusion .The reconstruction of pancreaticoduodenal papillary duct with nanomaterials has certain advantages for postoperative recovery, reduces postoperative complications, reduces the probability of infection, and improves the therapeutic effect.

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Research Article;
Clinical Analysis on the Effects of Tandospirone Citrate Assisted by Drawing Therapy on Medication Compliance and Sleep Quality in Patients with Anxiety Disorders

To explore the clinical effects of tandospirone citrate assisted by drawing therapy (dt) on medication compliance and sleep quality in patients with anxiety disorders.Methods.A total of 128 patients with anxiety disorders treated in the hospital were enrolled between january 2020 and january 2022.According to the random number table method, they were divided into the observation group (n = 64) and the control group (n = 64).The control group was treated with tandospirone citrate, while the observation group was additionally treated with dt.The clinical curative effect and medication compliance after treatment, scores of hamilton anxiety scale (hama), pittsburgh sleep quality index (psqi), and the world health organization’s quality of life questionnaire-brief version (whoqol-bref) before and after treatment were compared between the two groups.The occurrence of adverse reactions during treatment was recorded.Results.After treatment, the total response rate in the observation group was higher than that in the control group (96.88% vs 86.94%) ( p &lt; 0.05 ).After treatment, scores of hama and psqi in both groups were decreased, which were lower in the observation group than in the control group ( p &lt; 0.05 ).After treatment, medication compliance in the observation group was higher than that in the control group ( p &lt; 0.05 ).After treatment, scores of environmental factors, social relations, physiological function, and psychological status in both groups were increased, which were higher in the observation group than in the control group ( p &lt; 0.05 ).During treatment, there was no significant difference in the incidence of adverse reactions between the two groups ( p &gt; 0.05 ).Conclusion.Dt-assisted tandospirone citrate can effectively improve the clinical symptoms of patients with anxiety disorders, improve medication compliance, sleep quality, and quality of life, and have a certain degree of safety.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;
Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China

Fine particulate matter with diameters less than 2.5 μm (pm2.5) concentration monitoring is closely related to public health, outdoor activities, environmental protection, and other fields.However, the incomplete pm2.5 observation records provided by ground-based pm2.5 concentration monitoring stations pose a challenge to the study of pm2.5 propagation and evolution model.Consequently, pm2.5 concentration data imputation has been widely studied.Based on empirical orthogonal function (eof), a new spatiotemporal interpolation method, eof interpolation (eofi) is introduced in this paper, and then, eofi is applied to reconstruct the hourly pm2.5 concentration records of two stations in the first half of the year.The main steps of eofi here are to firstly decompose the spatiotemporal data matrix of the original observation site into mutually orthogonal temporal and spatial modes with eof method.Secondly, the spatial mode of the missing data station is estimated by inverse distance weighting interpolation of the spatial mode of the observation sites.After that, the records of the missing data station can be reconstructed by multiplying the estimated spatial mode and the corresponding temporal mode.The optimal mode number for eofi is determined by minimizing the root mean square error (rmse) between reconstructed records and corresponding valid records.Finally, six evaluation indices (mean absolute error (mae), rmse, correlation coefficient (corr), deviation rate bias, nash–sutcliffe efficiency (nse), and index of agreement (ia)) are calculated.The results show that eofi performs better than the other three interpolation methods, namely, inverse distance weight interpolation, thin plate spline, and surface spline interpolation.The eofi has the advantages of less computation, less parameter selection, and ease of implementation, it is an alternative method when the number of observation stations is rare, and the proportion of missing value at some stations is large.Moreover, it can also be applied to other spatiotemporal variables interpolation and imputation.

Journal: Complexity (2020)
Publication types: Research Article;
Application of Doctor-Nurse-Patient Co-Decision-Making Nursing Intervention Based on Evidence-Based Problems in the Rehabilitation of Acute Ankle Lateral Collateral Ligament Injury

The aim of this study is to study the application effects of doctor-nurse-patient co-decision-making nursing intervention based on evidence-based problems in the rehabilitation of acute ankle lateral collateral ligament injury.Methods.150 patients with acute ankle lateral collateral ligament injury who were treated in the hospital between december 2020 and december 2021 were selected, and they were divided into the routine group and the evidence-based group by the random number table method, with 75 cases in each group.The patients in the routine group received routine nursing intervention, while the patients in the evidence-based group adopted doctor-nurse-patient co-decision-making nursing intervention based on evidence-based problems, and both groups were intervened for 1 month.The rehabilitation time (swelling subsidence time, fixation removal time, and normal walking time), ankle active range of motion (dorsiflexion and plantar flexion), ankle function (ankle kofoed score) before and after intervention, and the total incidence rate of complications (tendon injury, ankylosis, and traumatic arthritis) within 1 month of intervention were compared between the two groups of patients.Results.The swelling subsidence time, fixed removal time, and normal walking time in the evidence-based group were significantly shorter than those in the routine group ( p &lt; 0.05 ).After 1 month of intervention, the ranges of motion of dorsiflexion and plantar flexion and ankle kofoed scores of the two groups were significantly higher than those before intervention, and the abovementioned indicators in the evidence-based group were significantly higher than those in the routine group ( p &lt; 0.05 ).Within 1 month of intervention, the total incidence rate of tendon injury, ankylosis, and traumatic arthritis was significantly lower in the evidence-based group than that in the routine group ( p &lt; 0.05 ).Conclusion.Nursing intervention of doctor-nurse-patient co-decision-making based on evidence-based problems in patients with acute ankle lateral collateral ligament injury can promote postoperative rehabilitation and restore the ankle function of patients.

Journal: Emergency Medicine International (2022)
Publication types: Clinical Study;
Application of New Media Big Data in Visual Performance of Axonometric Illustration

With the rapid development of internet technology today, especially in the fields of new media, digital tv, digital movies, smartphones, smart hardware, mobile internet and big data, new media forms bring us a shocking sensory experience.Axonometric illustration, a traditional and modern artistic expression, is becoming more and more attractive in the new media era.Today, with the continuous progress of science and technology, the continuous innovation of thinking, and the rapid improvement of public aesthetics, traditional axonometric illustrations have been unable to adapt to the gradual improvement of people’s needs for artistic aesthetics.This paper will start from the research background of “new media” and combine the characteristics of the axonometric illustration industry itself.On the basis of analyzing related theories at home and abroad, the literature research method and algorithm-driven method are used comprehensively.It can not only effectively improve the visual effect of axonometric illustration by 12.3% but also solve the problems and challenges faced by the current china’s axonometric illustration industry.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;