syedzayyan/paper_mill_benchmark huggingface dataset:
A New Method for Early Screening of Gastric Cancer (G17 and CA724 Dual-Labeled Time-Resolved Fluorescence Immunoassay)

Gastric carcinoma (gc) is one of the most common malignancies in the world with the great early screening challenges.The study is aimed at establishing a new detection method for early screening gc using time-resolved fluorescence immunoassay (trfia) via quantitative detection of gastrin-17 (g-17) and carbohydrate antigen 724 (ca724) in serum.Time-resolved analyzer measured the fluorescence intensity.The standards of g-17/ca724 were used for drawing the standard curve, which is used to calculate the concentration of g-17 and ca724 in serum sample.The sensitivity for g-17 was 0.54 pg/m l and for ca724 was 0.28 u/m l with a wide-range analyze concentration (0.1-1000) pg/m l or u/m l.The average recoveries ranged from 100.52% to 110.30% for g-17 and 103.02% to 116.00% for ca724.All cvs of the intra- and interassay were below 10% with high specificity.There was a high pearson coefficient between this trfia method and the commercially available kits (pearson r 0.9117 for g-17 and 0.9449 for ca724).Additionally, the cutoff value was 88.41 pg/m l and 5.47 u/m l for ca724 in health subjects.This study established a trfia method for simultaneous detection of the concentrations of g-17 and ca724 in serum, which provide a new method for sensitive, accurate, and specific early screening of gastric cancer.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
A Meta-Analysis of the Efficacy of Albumin Paclitaxel versus Docetaxel in the Treatment of Breast Cancer

To use meta-analysis to systematically compare the efficacy and adverse reaction rates of albumin paclitaxel and docetaxel in the treatment of breast cancer.Methods.This study included chinese and english literature studies on clinical controlled studies of albumin paclitaxel and docetaxel in the treatment of breast cancer by searching cnki, weipu, wanfang, pub med, embase, and cochrane library.Two researchers participated in the screening of the literature, used the inclusion and exclusion criteria as reference indicators, extracted relevant data, and used the software rev man5.3 to conduct quality evaluation and meta-analysis of the literature.Results.4 literature stuides were retrieved that met the inclusion criteria, with 243 study subjects.The included literature had a lower risk of bias.Meta-analysis results showed that compared with the docetaxel group, the protein paclitaxel group had significant differences in objective effective rate (orr) (or = 1.56, 95% ci (0.80, 3.03), p = 0.19 ), complete remission (cr) (or = 1.79, 95% ci (0.96, 3.35), p = 0.07 ), partial remission (pr) (or = 0.88, 95% ci (0.53, 1.47), p = 0.62 ), nausea (or = 0.87, 95% ci (0.51, 1.74), p = 0.84 ), and vomiting (or = 0.62, 95% ci (0.45, 1.78) p = 0.76 ).The reason may be that the number of literatures included in this study is small or the sample size is insufficient.However, it had an advantage in the incidence of neutropenia (or = 0.38, 95% ci (0.16, 0.88), p = 0.02 ), and the difference between the two groups was statistically significant.Conclusion.Albumin paclitaxel treatment can better reduce the incidence of neutropenia in breast cancer patients and is of great significance to the safety of breast cancer patients.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Meta-Analysis;
A Grounded Theory Construction of the eSports Endogenous Drive Model

E‐sports attracts a lot of time and energy from adolescents, making them happy to actively participate and even become addicted to the internet.In order to reveal the mechanism of e‐sports addiction and the mechanism of action, a model of e‐sports internal drive was constructed by rooting qualitative analysis of interview data from 30 e‐sports players, and the results of the study showed that the e‐sports internal drive model consists of incentive setting (continuous incentive, variety of incentives, incentive can be redeemed, and incentive odds), task setting (can start over, flexible and free, can be completed, and specific goals), program setting (forming a team, simple interpersonal relationship, specific rules, timely feedback, fairness, simple operation, goal focus, quantified indicators, challenge difficulty, and training guidance), 3 dimensions, and 18 categories.The three dimensions are interrelated and synergistic e sports influencing factors.The establishment of this model enriches the relevant theories on the study of e sports endogamy and provides a reference basis for revealing the current social phenomenon of e sports game addiction among e sports players.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

Online shopping has led to the rapid development of e-commerce, and at the same time, the pressure of offline distribution has increased abruptly.Therefore, a current development trend is to share end-to-end distribution against the background of the internet.The main research content of this paper is the benefit distribution mechanism of shared end distribution.Based on an analysis of the current situation of interest distribution, this paper proposes factors that affect interest distribution from the perspectives of individuals and groups.The suitable income distribution mode of enterprise alliances is chosen from two dimensions—cooperation mode and coordination mechanism.Based on extant theory, this paper proposes a benefit distribution scheme-selection mechanism based on the modified shapley value method and takes the terminal distribution in the haidian district of beijing as an example.The revised income distribution results better reflect the income-generating abilities of different enterprises within a cooperative organization and assign different benefit proportions to this cooperative organization based on different income-generating capacities to provide development incentives and, at the same time, better achieve income distribution.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
A Comparative Study between Proximal Femoral Locking Plate and Multiple Cannulated Screws for Fixation of Femoral Neck Fractures in Young Adults

To compare the clinical effect of proximal femoral locking plate (pflp) versus multiple cancellous screw (mcs) for fnf.Methods.Fnf patients were treated with the pflp implant or multiple cancellous screws (mcss).Patient has been followed up for at least 12 months after surgery nonunion, and the occurrence of complications, femoral neck shortening, fracture healing time, and harris hip score were recorded and compared.Results.77 fnf patients were treated with the pflp (36 patients) or mcs (41 patients).The sex, age, side of the injured limb, type of garden fracture, time from injury to surgery, and fracture healing time of two groups patients were comparable.The operation time and intraoperative blood loss in the pflp group were worse than those in the mcs group.Two patients with the pflp (5%) and nine patients (21%) with the mcs experienced cut out of the lag screw or avascular necrosis of the femoral head or nonunion and received hip replacement.However, the number of fluoroscopies in the pflp group was significantly lower than that in the mcs group.Additionally, the femoral neck shortening and harris hip score were all strongly better in the pflp group than in the mcs group.Conclusions.Compared with the mcs, pflp treatment for fnf in young adults can decrease the fluoroscopy times, improve hip functional recovery, and reduce the complications rate and femoral neck shortening.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Wearable Wireless Body Area Networks for Medical Applications

In recent times, there has been a significant growth in networks known as the wireless body area networks (wbans).A wban connects distributed nodes throughout the human body, which can be placed on the skin, under the skin, or on clothing and can use the human body’s electromagnetic waves.An approach to reduce the size of different telecommunication equipment is constantly being sought; this allows these devices to be closer to the body or even glued and embedded within the skin without making the user feel uncomfortable or posing as a danger for the user.These networks promise new medical applications; however, these are always based on the freedom of movement and the comfort they offer.Among the advantages of these networks is that they can significantly increase user’s quality of life.For example, a person can carry a wban with built-in sensors that calculate the user’s heart rate at any given time and send these data over the internet to user’s doctor.This study provides a systematic review of wban, describing the applications and trends that have been developed with this type of network and, in addition, the protocols and standards that must be considered.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design

The wearable power-assisted robot is a typical auxiliary rehabilitation robot.It is an exoskeleton power-assisted device that helps people to expand their lower limb movement capabilities.Its basic principle is to obtain the motion intention information of the human body through the perception system.Control the dc servo motor installed at the hip joint and the knee joint to drive the movement of the link, so as to achieve the purpose of providing assistance to the human body.In order to improve the dynamic response frequency of the wearable robotic perception system, a sensor signal based on time series analysis is proposed.The online prediction algorithm, which can perform single-step or multistep prediction under the premise of ensuring certain accuracy, can multiply the dynamic response frequency of the wearable-assisted robot sensing system to ensure the real-time performance of the whole system.In order to realize the sensor signal prediction algorithm, we design the corresponding software and hardware system to realize the prediction algorithm.The whole sensor signal prediction algorithm implementation system can be divided into two parts: lower computer and upper computer.The lower computer includes amplification circuit, signal conditioning circuit, and acquisition.The signal processing software part of the circuit and the corresponding mcu and the upper computer mainly include the data acquisition and prediction algorithm implementation, and the upper computer adopts the mixed programming technology of vc++ and matlab to complete the software part of the upper computer.Aiming at the control part of the wearable robotic sensing system, the first generation of dc servo motor embedded motion controller is designed.The motion controller adopts the design concept of embedded motion controller, which has small size, is light weight, and has good expandability.And the motion controller can communicate and debug with the host computer through the serial port, which lays a foundation for the design of the entire embedded control system.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
VSHR: A Mathematical Model for the Prediction of Second-Wave COVID-19 Epidemics in Malaysia

Since december 2019, a novel coronavirus (covid-19) has spread all over the world, causing unpredictable economic losses and public fear.Although vaccines against this virus have been developed and administered for months, many countries still suffer from secondary covid-19 infections, including the united kingdom, france, and malaysia.Observations of covid-19 infections in the united kingdom and france and their governance measures showed a certain number of similarities.A further investigation of these countries’ covid-19 transmission patterns suggested that when a turning point appeared, the values of their stringency indices per population density (psi) were nearly proportional to their absolute infection rate (air).To justify our assumptions, we developed a mathematical model named vshr to predict the covid-19 turning point for malaysia.Vshr was first trained on 30-day infection records prior to the united kingdom, germany, france, and belgium’s known turning points.It was then transferred to malaysian covid-19 data to predict this nation’s turning point.Given the estimated air parameter values in 5 days, we were now able to locate the turning point’s appearance on june 2nd, 2021.Vshr offered two improvements: (1) gathered countries into groups based on their si patterns and (2) generated a model to identify the turning point for a target country within 5 days with 90% ci.Our research on covid-19’s turning point for a country is beneficial for governments and clinical systems against future covid-19 infections.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Visual Sensor Image Analysis and Massage Techniques to Prevent and Treat Common Injuries of Sports Dance Practitioners

In recent years, the performance of sports dance in china has become better and better.Naturally, the technical requirements for this dance are getting higher and higher, and the number and intensity of training have also increased, which has led to increasing injuries in sports dance.This article is based on visual sensor images to analyze and study the common injuries and prevention of sports dance practitioners.It is aimed at providing a certain reference basis for athletes’ injuries, so that dance practitioners and coaches can better master sports dance training and teaching.Injury-related rules and prevention reduce the injury rate.This article puts forward the related technology of a visual sensor image and applies its technology to the prevention and research of common injuries in sports dance.At the same time, it analyzes the causes of sports dance practitioners’ injuries and seeks economical and affordable massage techniques for prevention, and the method of treatment provides protection for dance practitioners.The experimental results in this article show that the tuina group cured 15 subjects, 41 subjects were markedly effective, 13 subjects were improved, and 6 subjects were unhealed.The total effective rate was 92%.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization

It was to explore the application of nursing defect management evaluation and deep learning in nursing process reengineering optimization.This study first selects the root cause analysis method to analyse the nursing defect management, then realizes the classification of data features according to the convolution neural network (cnn) in deep learning (dl) and uses the constructed training set and verification set to obtain the required plates and feature extraction.Based on statistical analysis and data mining, this study makes statistical analysis of nursing data from a macroperspective, improves apriori algorithm through simulation, and analyses nursing data mining from a microperspective.The constructed deep learning model is used, cnn network training is conducted on the selected svhn dataset, the required data types are classified, the data are analysed by using the improved apriori algorithm, and nurses’ knowledge of nursing process rules is investigated and analysed.The cognition of nursing staff on process optimization and their participation in training were analyzed, the defects in the nursing process were summarized, and the nursing process reengineering was analyzed.The results show that compared with apriori algorithm, the running time difference of the improved apriori algorithm is relatively small.With the increase of data recording times, the line trend of the improved algorithm gradually eases, the advantages gradually appear, and the efficiency of data processing is more obvious.The results showed that after the optimization of nursing process, the effect of long-term specialized nursing was significantly higher than that of long-term nursing.Health education was improved by 7.57%, clinical nursing was improved by 6.55%, ward management was improved by 9.85%, and service humanization was improved by 8.97%.In summary, the reoptimization of nursing process is conducive to reduce the defects in nursing.In the data analysis and rule generation based on deep learning network, the reoptimization of nursing process can provide reference for decision-making departments to improve long-term nursing, improve the quality and work efficiency of clinical nurses, and is worthy of clinical promotion.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Ultrasound Image Features under Decomposition Algorithm to Analyze the Nursing Intervention on Patients with Colon Polyps Undergoing Endoscopic Resection

Based on the ultrasonic imaging and endoscopic resection of the intelligent segmentation algorithm, this study is aimed at exploring whether nursing intervention can promote the good recovery of patients with colon polyps, hoping to find a new method for clinical treatment of the colon polyps.Patients with colon polyps were divided into an experimental group (fine nursing) and a control group (general nursing).The colonoscopy polyp ultrasound image was preprocessing to select the seed points and background points.The random walk decomposition algorithm was applied to calculate the probability of each marked point, and then, the marked image was outputted.The accuracy of the intelligent segmentation algorithm was 81%.The incidence of complications in the experimental group was 4.83%, which was lower than 16.66% in the control group, and the difference was statistically obvious ( p &lt; 0.05 ).Perioperative refined nursing intervention for colon polyp patients undergoing endoscopic electrosurgical resection can decrease postoperative adverse reactions; reduce postoperative mucosal perforation, blood in the stool, abdominal pain, and small bleeding; lower the incidence of postoperative complications; and allow patients to recover quickly, enhancing the life comfort of patient.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Tumor-Specificity Growth Factor Combined with Tumor Markers in Nuclear Medicine Imaging to Identify Prostate Cancer Osteonosus

This study has explored the application value of malignant tumor spe growth factor (tsgf) combined with tumor markers (tm) (tsgf + tm) in nuclear medicine imaging to identify prostate cancer osteonosus (pco).Methods.A retrospective analysis for 70 patients with prostate cancer and bone disease admitted to our hospital was performed, 30 healthy persons in the same period were selected as the control group, and the advantages and disadvantages of various examinations were analyzed.All patients were diagnosed with pet whole body bone imaging.Suspicious lesions could be examined by mri or ct.According to the results of imaging examination, patients were divided into 40 cases of malignant prostate cancer and 30 cases of benign prostate cancer.All the patients underwent 18f-fdg-pet imaging, alpha-fetoprotein (afp), and tsgf + tm determination.The case diagnosis results were compared and analyzed, and the sensitivity (sen), specificity (spe), and accuracy (acc) of various detection methods were calculated.The sen, spe, and acc of positron emission tomography (pet) were 90.9%, 57.8%, and 81.2%, respectively; those of tm were 79.2%, 94.6%, and 69.8%, respectively; and those of tsgf + tm were 95.9%, 100%, and 97.3%, respectively.The accuracy of combined diagnosis of tumors can reach 100%.The afp and tsgf levels of serum tm were compared and analyzed, and it was found that the benign lesion group and the malignant lesion group showed significant increases compared with the control group, and the difference between the malignant lesion group and the control group was obvious ( p &lt; 0.05).Sgf combined with tm could obtain a more definite diagnosis in pco.Conclusion.Tsgf + tm combined with 18f-fdg-pet imaging showed important clinical value to diagnose the pco.The imaging accuracy of tsgf + tm combined with 18f-fdg-pet is 97.3%, and the specificity of tumor diagnosis is 100%.Therefore, the tsgf + tm applied in medical imaging and identification of pco was worthy of clinical promotion.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Tumor Region Location and Classification Based on Fuzzy Logic and Region Merging Image Segmentation Algorithm

Early diagnosis of tumor plays an important role in the improvement of treatment and survival rate of patients.However, breast tumors are difficult to be diagnosed by invasive examination, so medical imaging has become the most intuitive auxiliary method for breast tumor diagnosis.Although there is no universal perfect method for image segmentation so far, the consensus on the general law of image segmentation has produced considerable research results and methods.In this context, this paper focuses on the breast tumor image segmentation method based on cnn and proposes an improved dcnn method combined with crf.This method can obtain the information of multiscale and pixels better.The experimental results show that, compared with dcnn without these methods, the segmentation accuracy is significantly improved.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Treatment of Upper Cervical Spinal Cord Injury (Unstable C1-C2) by Direct Visualization and Nailing Technique and the Advantages of Early MRI

The treatment of c1-c2 fractures mainly depends on fracture type and the stability of the atlantoaxial joint.Disruption of the c1-c2 combination is a big challenge, especially in avoiding vertebral artery, nerve, and vein sinus injury during the operation.Purpose.This study aims to show the benefit of using the posterior approach and pedicle screw insertion by nailing technique and direct visualization to treat unstable c1-c2 and, moreover, to determine the advantages of performing early mri in patients with limited neck movement after trauma.Method.Between jan 2017–feb 2019, we present 21 trauma patients who suffered from c1, c2, or unstable atlantoaxial joint.X-ray, computed tomography (ct), and magnetic resonance image (mri) were performed preoperatively.All the patients underwent our surgical procedure (posterior approach and pedicle screw placement by direct visualization and nailing technique).Result.The mean age was 41.1 years old, 8 females and 14 males.The average follow-up time was 2.6 years.Four patients were with c1 fracture, seven with c2 fracture, six with atlantoaxial dislocation, and four with c1 and c2 fractures.The time of mri was between 12 hours and 48 hours; neck movement symptoms appeared between 2 days and 2 weeks.Conclusion.The posterior approach to treat the c1 and c2 fractures or dislocation by direct visualization and nailing technique can reduce the risk of the vertebral artery, vein sinus, and nerve root injuries with significant improvement.It can show a better angle view while inserting the pedicle screws.An early mri (12–48 hours) is essential even if no symptoms appear at the time of admission, and if it is normal, it is necessary to repeat it.The presence of skull bleeding can be associated with upper neck instability.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;