syedzayyan/paper_mill_benchmark huggingface dataset:
Optimization of Water Microbial Concentration Monitoring System Based on Internet of Things

The internet of things is an emerging information industry.Applying the information collection, transmission, and processing technologies in the internet of things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection.Through the internet of things, people can obtain a large amount of reliable real‐time information, and it is not easy to be affected by time, place, and environment, while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the internet of things is the future development trend.In this paper, in view of the current situation of water scarcity and serious water pollution in china, combined with the development trend and advantages of the internet of things (io t), and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on io t.The system is based on zig bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high‐precision microbial sensor data acquisition in water and through the pc to complete the real‐time measurement data storage, waveform display, and data processing.In this paper, the schematic diagram and pcb board design of the system hardware module nuc120 main control board, cc2530 rf board, wi‐fi wireless communication module, and high‐precision adc acquisition module are completed and fabricated.Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated zig bee wireless network hardware device.

Journal: Complexity (2021)
Publication types: Research Article;
Application of “TCM + Smart Elderly Care” in the Medical-Nursing Care Integration Service System

As a country with the fastest population aging rate in the world, china’s existing elderly care and medical resources are not enough to meet the growing and complex needs of elderly care and health services.The chinese government is actively promoting the integrated development of medical and elderly care institutions, but it has yet to give full play to the inexpensive and existing advantages of traditional chinese medicine in the treatment of diseases and rehabilitation of the elderly, by sorting out the advantages of “tcm + intelligent pension” in medical expenses, pension costs, disease prevention, intelligent pension services, and so on.In view of the current problems existing in china’s pension, this paper mainly proposes to solve the pension dilemma in china from several aspects: improving the supervision and evaluation system, increasing capital investment, building a unified digital medical and pension service platform, and strengthening the talent training in the field of traditional chinese medicine integration.The application of the “tcm + smart elderly care” system into the medical and elderly care service system is promoted to effectively improve the operation efficiency of the whole medical and elderly care service system and the satisfaction of elderly families.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Serum Levels of CXCL-13, RBP-4, and IL-6, and Correlation Analysis of Patients with Graves’ Disease

To investigate the serum levels of cxc chemokine 13 (cxcl-13), retinol binding protein-4 (rbp-4), and interleukin 6 (il-6) in patients with graves’ disease (gd).The correlation between cxcl-13, rbp-4, and il-6 levels and the basal metabolic rate (bmr) was analyzed.Methods.118 gd patients diagnosed in our hospital were selected as the observation group from march 2017 to december 2018.According to the measured bmr value, 118 gd patients were divided into the mild group (n = 39), the moderate group (n = 47), and the severe group (n = 32), three subgroups.60 healthy subjects were selected as the control group.The serum levels of cxcl-13, rbp-4, il-6, tsh, ft3, and ft4 in every group were measured.Pearson correlation analysis was used to observe the correlation of serum cxcl-13, rbp-4, and il-6 levels with tsh, ft3, ft4, and bmr.Results.The levels of serum cxcl-13, rbp-4, and il-6 in the observation group were higher than those of the control group, and the differences were statistically significant ( p &lt; 0.05 ).The levels of serum cxcl-13, rbp-4, and il-6 in the moderate and severe groups were higher than those in the mild group, and the differences were statistically significant ( p &lt; 0.05 ).The levels of serum cxcl-13, rbp-4, and il-6 in the severe group were higher than those in the moderate group, and the differences were statistically significant ( p &lt; 0.05 ).Pearson correlation analysis showed that the serum levels of cxcl-13, rbp-4, and il-6 in gd patients were negatively correlated with tsh levels and positively correlated with ft3 and ft4 levels.Serum cxcl-13, rbp-4, and il-6 levels in gd patients were positively correlated with bmr (r = 0.915, r = 0.942, r = 0.926, p &lt; 0.001 ).Conclusion.Serum cxcl-13, rbp-4, and il-6 levels are elevated in patients with gd, and with the aggravation of the disease, the serum cxcl-13, rbp-4, and il-6 levels also increase, showing a positive correlation, which can be used as indicators to reflect the degree of gd.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
RUNX3-regulated circRNA METTL3 inhibits colorectal cancer proliferation and metastasis via miR-107/PER3 axis

Colorectal cancer (crc) is one of the most prevalent and lethal malignancies.Exploring the underlying molecular mechanisms is very helpful for the development of new therapy.Here, we investigated the function of circ mettl3/mi r-107/per3 in crc.Human crc tissues from diagnosed crc patients and six crc cell lines, one normal human colon cell line were used.Q rt-pcr and western blotting were performed to determine expression levels of runx3, circ mettl3, mi r-107, per3, and proliferation-, and migration-related proteins.Cck-8, colony formation assay, transwell assay, and scratch wound assay were utilized to assess crc cell proliferation and invasion.Ch ip, emsa, biotin-pull down, rip assay, and dual luciferase reporter assay were performed to validate interactions of runx3/mettl3 promoter, circ mettl3/mi r-107, and mi r-107/per3.Fish was used to characterize circ mettl3.Msp was employed to measure methylation level.Nude mouse xenograft model was used to determine the effects on tumor growth and metastasis in vivo.Runx3, circ mettl3, and per3 were diminished while mi r-107 was elevated in crc tissues and cells.Low levels of runx3 and circ mettl3 correlated with poor prognosis of crc.Overexpression of runx3, circ mettl3, or per3 suppressed while mi r-107 mimics promoted, crc cell proliferation and invasion, as well as tumor growth and metastasis in vivo.Mechanistically, runx3 bound to mettl3 promoter and activated circ mettl3 transcription.Circ mettl3 directly bound with mi r-107 which targeted per3.Circ mettl3/mi r-107 regulated crc cell proliferation and invasion via per3.Circ mettl3, transcriptionally activated by runx3, restrains crc development and metastasis via acting as a mi r-107 sponge to regulate per3 signaling.

Journal: Cell Death & Disease (2022)
Publication types: Research Article;
Correlation between Serum ApoC III and Galectin-3 Levels and Maternal and Neonatal Adverse Outcomes in Gestational Diabetes Mellitus Patients

The correlation between serum apo c iii and galectin-3 levels and adverse maternal and infant outcomes in gdm patients was analyzed.Methods.A total of 97 gdm patients admitted to our hospital from january 2019 to june 2021 were selected and divided into a good group and a poor group according to the pregnancy outcomes, apo c iii in blood of subjects was detected by immunoturbidimetry, and galectin-3 level was detected by enzyme-linked immunosorbent assay.Spearman correlation test was used to analyze the correlation between apo c iii and galectin-3 levels and pregnancy outcomes in patients with gdm, and roc curves were drawn to analyze the value of each index alone and in combination to predict pregnancy outcomes in patients with gdm.Results.The levels of apo c iii and galectin-3 in the blood of the patients in the bad group were significantly higher than those in the good group, and the difference was statistically significant (t = 11.231, 14.965, p &lt; 0.05 ).The levels of apo c iii and galectin-3 in the blood of gdm patients were significantly positively correlated with adverse pregnancy outcomes, and there was a statistical significance (r = 0.754 and r = 0.698, p &lt; 0.05 ).The combined application of apo c iii and galectin-3 levels in gdm patients’ blood to predict the adverse outcome of pregnancy was log p = 0.623 , ∗ apo c iii+0.605 ∗ galectin-3.The sensitivity, specificity, and auc of combined application of apo c iii and galectin-3 for predicting adverse pregnancy outcomes in gdm patients were all greater than 90%, and auc&gt;0.90.The combined application in predicting adverse pregnancy outcomes were higher than those of the individual indicators, and the difference was statistically significant ( p &lt; 0.05 ).Conclusion.The levels of apo c iii and galectin-3 in the blood of gdm patients with adverse pregnancy outcomes were significantly increased, and the detection of apo c iii and galectin-3 could effectively improve the value of predicting adverse pregnancy in gdm.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Application of Diversified Health Education Combined with Psychological Nursing in the Treatment of Patients with Infectious Bone Defects by Induction Membrane Surgery

To explore the application value of diversified health education combined with psychological nursing in the treatment of patients with infectious bone defects by induction membrane surgery.Methods.A total of 52 patients with infectious bone defects treated by induction membrane surgery from may 2018 to january 2022 were selected as the research subjects and divided into an observation group (with diversified health education combined with psychological care) and a control group according to the random number table method (routine nursing care).There were 26 patients in each group, and the hospital anxiety and depression scale (hads) and self-care ability scale (esca) were compared.Results.At admission, there was no significant difference in anxiety dimension, depression dimension, and total score of anxiety and depression between the two groups ( p &gt; 0.05 ).At admission, there was no significant difference in self-care responsibility, self-concept, self-care skills, health knowledge level, and total score between the two groups ( p &gt; 0.05 ).Skills, health knowledge level, and total score were higher than those in the control group ( p &lt; 0.05 ).The total incidence of complications in the observation group was lower than that in the control group ( p &lt; 0.05 ).Conclusion.Diversified health education combined with psychological nursing is beneficial to reduce negative emotions, improve self-care ability, and reduce the incidence of complications in the treatment of patients with infectious bone defects by induction membrane surgery.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Intelligent Analysis of Logistics Information Based on Dynamic Network Data

In order to realize the intellectualization of logistics information analysis, this paper proposes an intelligent analysis method of logistics information based on dynamic network data cloud mining.This paper selects the data of a shipping logistics platform to realize the intelligent analysis experiment of logistics information based on cloud clustering mining.The purpose of the experiment is to find out the advantages of logistics information intelligent analysis based on cloud mining by comparing the performance differences between cloud clustering mining and traditional clustering mining in logistics information intelligent analysis.This paper builds an experimental environment based on hadoop and map reduce parallelization based on k-means algorithm.Taking the obtained logistics data as the analysis object, preprocess it and get the results based on cloud clustering mining.The experimental results show that the parallel mining analysis method is 179.2% slower than the traditional mining analysis method in dataset data1, 60.4% slower in dataset data2, and 2.8% faster in dataset data1.The intelligent analysis method of logistics information based on cloud clustering mining has good scalability and speedup ratio.Conclusion.Applying cloud mining to logistics information analysis and realizing the intelligent analysis of logistics information has great advantages, and can well meet the content and efficiency needs of logistics information analysis stakeholders.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Overseas Warehouse Location of Cross-Border E-Commerce Based on Particle Swarm Optimization

In order to solve the problem of cross-border e-commerce warehouses as transit stations and direct selling platforms, the location of a cross-border e-commerce overseas warehouse is deeply studied on the basis of particle swarm optimization.Firstly, it studies the principle of algorithm optimization and algorithm method of particle swarm optimization.Among them, the self-built overseas warehouse mode has high requirements on the construction threshold, which is suitable for large cross-border e-commerce enterprises.The overseas warehouse model is built by a professional third party, which is economical and flexible, so it is suitable for mass cross-border e-commerce enterprises.Another overseas warehouse model is to build a cross-border logistics one-stop service platform with overseas warehouse as the core for all kinds of cross-border e-commerce enterprises, which is the development direction of overseas warehouse in the future.However, due to the immature construction conditions and too strong resource integration, this model is still in the stage of research, exploration, and attempt.However, choosing the location of an overseas warehouse and how to use the particle swarm optimization algorithm in the overseas warehouse development experiment remain problems to be solved.After experiments and research, the particle swarm optimization algorithm is used to solve the problem in the context of cross-border e-commerce, which verifies the feasibility of the model, so as to give a specific scheme for the location of overseas hub warehouses and overseas warehouses.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Research on Human Pose Capture Based on the Deep Learning Algorithm

A method based on the deep learning algorithm is proposed to accurately capture the posture of the human body.It is one of the important means to improve athletes’ competitive level in modern sports to accurately analyze the posture of sports training by technical means.Aiming at the application demand of using artificial intelligence technology to accurately analyze and predict the motion training posture, a motion posture analysis and prediction system based on deep learning is designed in this paper.Based on the arduino embedded development board and equipped with multiple imu sensors, the scheme established a system to collect accurate human movement data such as speed and acceleration by using stepper motors and obtained accurate human movement data.The experimental results show that these models have been trained with h3.6 m data sets.The sampling frequency was reduced to 25 hz, and the joint angles were converted into exponential graphs.When the time window covers approximately 1 660 ms, the loop network will be initialized to 40 frames, equivalent to 1 600 ms.For each action, a separate pretrained recursive model is used.It is proved that the method based on deep learning can reduce the prediction error of fine-tuning specific movements and effectively classify and predict the movements not included in the original training data.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Based on the concept of market sharing, the author has developed internet technology-based logistics distribution data exchange to control the cost of shipping to benefit the transfer for new types of management and operations.Investigate the needs of export shipments, such as external management responsibilities, requirements of management responsibilities, data recovery, and data recovery requirements, based on the current state of the shared platform model integration, and determine the business model.Based on this, three types of io t cloud, such as single-center multiterminal, multicenter multiterminal, and data and application layer, can be completed and the internet of things can be defined by education.About the use of the cost of distribution, the transportation contract is to identify the needs of internet technology-based logistics distributions and complete the construction of internet technology-based logistics distribution information exchange platform.The results of the experiment showed that the results recorded in the test group did not differ from the actual results only twice, the level of difference was small, and the mean error was less than 1%.In terms of logistics distribution exposure, the average level of the assessment group is significantly higher than that of the management group, with a minimum collection rate of 90.07%, while the minimum value of the control group is as low as 76.32%.Compared with blockchain-based integration, internet of things technology-enabled sharing platforms can capture real-time data, transfer data, monitor shipping costs, and improve management and operations.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Thermal Effect Monitoring System of Dry-Type Smoothing Reactor

In order to study the influence of harmonic current loss characteristics on the thermal effect of uhv dry smoothing reactor, the author proposes a thermal effect monitoring system under the loss mechanism of dry smoothing reactor.By adding the electromagnetic loss density to the temperature field as a heat source, the electromagnetic-thermal multiphysics mapping relationship is established, the convective heat transfer process is more accurately simulated, and the temperature rise calculation is realized.Finally, the temperature rise test of the dry-type smoothing reactor is carried out.Experimental results show that using the calculation method considering the characteristics of harmonic loss, the maximum error between the calculated value and the experimental value is 9.1%, the average error is 4.34%, and the temperature rise distribution law is in good agreement.The system meets the requirements of engineering precision and provides the corresponding theoretical basis for engineering designers.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Precise Dissemination of E-Commerce Information and Behavior of Social Media Users

In order to solve the problem that the e-commerce system provides users with more and more choice information, it makes it difficult for users to find the desired products in a large amount of product information, and a research method for accurate dissemination of e-commerce information and behavior of social media users has been proposed.In order to improve the individual sales method of merchants, a method of multiangle analysis of data is proposed by clustering algorithm and classification algorithm.Research shows that there is a big difference between men and women in the use of we chat, with women accounting for 70%.It can be seen that the respondents were mainly women.People aged 26-40 account for 62.4%, which matches the main consumer group (26-40 years old) in the industry research report.In terms of monthly disposable income, the median and mode are both between 1,000 and 2,000 yuan, which is related to the age distribution of the respondents.The frequency of online shopping 1-6 times/month accounted for 81.5% of the overall sample, and the online shopping experience for more than 1 year accounted for 98.8%, indicating that the respondents generally have the habit of online shopping.Through experimental analysis, the effectiveness of the improved algorithm is verified.In terms of online shopping consumption accounted for the total consumption, the number of people accounted for one-fifth and one-third.It can be seen that online shopping is an indispensable part of people’s daily consumption.

Journal: Journal of Control Science and Engineering (2022)
Publication types: Research Article;
Ribociclib-Loaded Ethylcellulose-Based Nanosponges: Formulation, Physicochemical Characterization, and Cytotoxic Potential against Breast Cancer

In the present study, ribociclib-loaded nanosponges (rcns) composed of ethylcellulose and polyvinyl alcohol were developed using an emulsion-solvent evaporation method.Preliminary evaluations of the developed rcns (rcn1 to rcn7) were performed in terms of size, polydispersity index (pdi), zeta potential (zp), entrapment efficiency (ee), and drug loading (dl), which allowed us to select the optimized formulation.Rcn3 was selected as the optimized carrier system with particle size ([formula: see text]), pdi ([formula: see text]), zeta potential ([formula: see text]), ee ([formula: see text]), and dl ([formula: see text]).Further, the optimized nanosponges (rcn3) were subjected to ftir, xrd, dsc, and sem studies, and results confirmed the proper encapsulation of the drug within the porous polymeric matrix.In vitro drug release studies showed that the drug release was significantly enhanced with a maximum drug release through rcn3 formulation ([formula: see text]) and followed the higuchi model.Moreover, the rcn3 system showed greater cytotoxicity than free ribociclib (rc) against mda-mb-231 and mcf-7 breast cancer cell lines.The percentage of apoptosis induced by rcn3 was found significantly higher than that of free rc ([formula: see text]).Overall, ribociclib-loaded ethylcellulose nanosponges could be a potential nanocarrier to enhance the effectiveness of ribociclib in breast cancer treatment.

Journal: Adsorption Science & Technology (2022)
Publication types: Research Article;
Adsorption Potential of Schizophyllum commune White Rot Fungus for Degradation of Reactive Dye and Condition Optimization: A Thermodynamic and Kinetic Study

The pollution due to dyes from textile sector is one of the major issues faced worldwide.This study was focused on the removal of the reactive dye, drimaren turquoise cl-b using schizophyllum commune, a white rot fungus (wrf) keeping in mind the current environmental conditions.Different parameters like p h, sources of carbon &amp; nitrogen, temperature, concentration of dye and c/n ratio were used to investigate their effect on the process.Maximum dye removal of 95.45% was obtained at p h 4.5, temperature 35°c, inoculum size 3 m l, veratryl alcohol (mediator), glucose (carbon source) and ammonium nitrate (nitrogen source).The enzyme activity was determined by employing enzyme assay.Laccase and lignin peroxidase (li p) activity was low while manganese peroxidase (mn p) activity was highest.Maximum bio-sorption was achieved at p h 1 and 313 k.The pseudo-2 nd -order kinetic model &amp; freundlich isotherm was best suited for the process of removal of dye.From these data, it is concluded that white rot fungus could possibly be the excellent biomaterial for elimination of synthetic dyes from wastewater.

Journal: Adsorption Science & Technology (2023)
Publication types: Research Article;