syedzayyan/paper_mill_benchmark huggingface dataset:
A Deep Learning-Based Text Classification of Adverse Nursing Events

Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diagnosis and treatment processes in the hospitals.These events adversely affect the patient’s diagnosis and treatment results and even increase the patient’s pain and burden.Additionally, it is high likely to cause accidents and disputes and affect normal medical work and personnel safety and is not conducive to the development of the health system.Due to the rapid development of modern medicine, health and safety of patients have become the most concerned issue in society and patient safety is an important part of medical care management.Research and events have shown that classified management of adverse nursing events, event analysis, and improvement measures are beneficial, specifically to the health system, to continuously improve the quality of medical care and reduce the occurrence of adverse nursing events.In the management of adverse nursing events, it is very important to categorize the text reports of adverse nursing events and divide these into different categories and levels.Traditional reports of adverse nursing events are mostly unstructured and simple data, often relying on manual classification, which is difficult to analyze.Furthermore, data is relatively inaccurate and practical reference significance is not obvious.In this paper, we have extensively evaluated various deep learning-based classification methods which are specifically designed for the healthcare systems.It becomes possible with the development of science and technology; text classification methods based on deep learning are gradually entering people’s field of vision.Additionally, we have proposed a text classification model for adverse nursing events in the health system.Experiments and data comparison test of both the proposed deep learning-based method and existing methods in the text classification of nursing adverse events effect are performed.These results show the exceptional performance of the proposed mechanism in terms of various evaluation metrics.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
A Study on Resource Security under Legal Protection of e-Commerce Data Sovereignty Based on Blockchain Network

With the growing demand for cross-border electronic data forensics, national sovereignty and international network security have ushered in great challenges, and how to achieve dynamic balance in various fields under cross-border electronic data forensics, advance the process of global cyberspace governance, reach international consensus, and achieve win-win cooperation is a question that china needs to solve.Based on the above status quo, a blockchain-based secure e-commerce system is researched and implemented.Using the distributed architecture of the blockchain system and the automatic execution feature of smart contracts, a secure transaction application system is designed to realize decentralization and solve the problem of untrustworthy intermediate parties.Data storage is based on the mechanism of combining blockchain and offchain databases to ensure data security, and the characteristic of blockchain can only be appended and read to prevent the system from being tampered.The database index and the storage structure of smart contract commodity information and transaction information are established to improve the query efficiency.The functional and performance tests of the system show that the transaction processing efficiency is high in the multinode environment, and the response time of order and commodity status query can reach 80 ms.The design and development process of the system is introduced in detail, which is an important reference value for the application of blockchain technology in e-commerce.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems

Proportional-integral-derivative (pid) controllers are extensively used in engineering practices for their simple structures, robustness to model errors, and easy operations.At present, there is a great variety of pid controllers.Companies have developed intelligent regulators with functions for automatically tuning pid parameters.For present pid controllers, strategies such as intelligence, self-adaptation, and self-correction are extended to transmission pid.Pid controllers and corresponding improved ones are utilized in 90% of industrial control processes.In this paper, pid control algorithms are summarized.This paper focuses on advanced control strategies such as pid control, predictive pid control, adaptive pid control, fuzzy pid control, neural network pid control, expert intelligent pid control, pid control based on genetic algorithms, and pid control based on ant colony algorithms.Besides, these kinds of algorithms are compared, and prospects of pid algorithms are forecast at the end of this paper.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
A Study on the Integration of Business English Teaching and Intercultural Communication Skills Cultivation Model Based on Intelligent Algorithm

With the current prevalence of economic globalization, english is still the international language of choice.The definition of cross-cultural: have a full and correct understanding of cultural phenomena, customs, and habits that are different or conflicting with the national culture, and accept and adapt to it with an inclusive attitude on this basis.Therefore, for chinese universities, the focus is on cultivating highly qualified talents with intercultural communication skills for the country’s economic development.Intercultural communication skills are an important part of students’ language communication skills.China’s business english teaching has also begun to focus on the cultivation of students’ cross-cultural communication skills, but the effect is not satisfactory.In business english teaching, the most important thing is to improve students’ professional competence and business english expertise, and to cultivate foreign language talents with cross-cultural quality and global awareness.Based on the above reasons, this paper proposes a research on the integration of business english teaching and intercultural communication competence cultivation based on intelligent algorithms.First, this paper adopts the literature method to understand the difficulties in traditional business english teaching and the problems in the process of cultivating intercultural communication competence; then, it adopts the inductive-deductive method of intelligent algorithm and action research method to study the mode of cultivating intercultural communication competence and comprehensive experimental research.Finally, after comprehensive analysis, it was concluded that: the number of domestic literature on intercultural communication competence cultivation increased by 11.98%, and the number of literature was generally on the rise; there were significant differences in test results; the experimental students who were satisfied with the cultivation model studied in this paper reached 45.6%.This article attempts to investigate and analyze the needs of english majors for the cultivation of business english intercultural communicative competence, so as to provide a reference for cultivating students’ intercultural communicative competence.The above data fully indicate that the use of contextual teaching method to cultivate intercultural communication skills in business english courses is effective, attracting students’ enjoyment, cultivating their intercultural communication skills, enhancing their understanding of business etiquette, and improving their ability to conduct business conversations.Intercultural communicative competence refers to the ability to communicate when two parties from different cultural backgrounds communicate in the same situation.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Vision Sensor-Based Real-Time Fire Detection in Resource-Constrained IoT Environments

Fire detection and management is very important to prevent social, ecological, and economic damages.However, achieving real‐time fire detection with higher accuracy in an io t environment is a challenging task due to limited storage, transmission, and computation resources.To overcome these challenges, early fire detection and automatic response are very significant.Therefore, we develop a novel framework based on a lightweight convolutional neural network (cnn), requiring less training time, and it is applicable over resource‐constrained devices.The internal architecture of the proposed model is inspired by the block‐wise vgg16 architecture with a significantly reduced number of parameters, input size, inference time, and comparatively higher accuracy for early fire detection.In the proposed model, small‐size uniform convolutional filters are employed that are specifically designed to capture fine details of input fire images with a sequentially increasing number of channels to aid effective feature extraction.The proposed model is evaluated on two datasets such as a benchmark foggia’s dataset and our newly created small‐scaled fire detection dataset with extremely challenging real‐world images containing a high‐level of diversity.Experimental results conducted on both datasets reveal the better performance of the proposed model compared to state‐of‐the‐art in terms of accuracy, false‐positive rate, model size, and running time, which indicates its robustness and feasible installation in real‐world scenarios.

Journal: Computational Intelligence and Neuroscience (2021)
Publication types: Research Article;
Supervised Computer-Aided Diagnosis (CAD) Methods for Classifying Alzheimer’s Disease-Based Neurodegenerative Disorders

Alzheimer’s disease is incurable at the moment.If it can be appropriately diagnosed, the correct treatment can postpone the patient’s illness.To aid in the diagnosis of alzheimer’s disease and to minimize the time and expense associated with manual diagnosis, a machine learning technique is employed, and a transfer learning method based on 3d mri data is proposed.Machine learning algorithms can dramatically reduce the time and effort required for human treatment of alzheimer’s disease.This approach extracts bottleneck features from the m-net migration network and then adds a top layer to supervised training to further decrease the dimensionality and delete portions.As a consequence, the transfer network presented in this study has several advantages in terms of computational efficiency and training time savings when used as a machine learning approach for ad-assisted diagnosis.Finally, the properties of all subject slices are combined and trained in the classification layer, completing the categorization of alzheimer’s disease symptoms and standard control.The results show that this strategy has a 1.5 percentage point better classification accuracy than the one that relies exclusively on vgg16 to extract bottleneck features.This strategy could cut the time it takes for the network to learn and improve its ability to classify things.The experiment shows that the method works by using data from oasis.A typical transfer learning network’s classification accuracy is about 8% better with this method than with a typical network, and it takes about 1/60 of the time with this method.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Sulodexide Prevents Peritoneal Fibrosis by Downregulating the Expression of TGF-β1 and Its Signaling Pathway Molecules

Peritoneal dialysis is one of the main renal replacement treatments.However, long-term peritoneal dialysis keeps the peritoneum in contact with the sugar-containing nonphysiological peritoneal fluid, which leads to recurrent peritonitis, peritoneal fibrosis, and failure of ultrafiltration.Transforming growth factor-β1 (tgf-β1), related cytokines, and inflammatory factors are closely related to peritoneal fibrosis.Sulodexide (slx) is a new type of glycosaminoglycan preparation, which is involved in the formation of an anionic charge barrier and can maintain the selective permeability of vascular endothelial cells.In this study, the innovative analysis of slx specifically prevents the process of peritoneal dialysis peritoneal fibrosis by downregulating the expression of tgf-β1 and its signaling pathway molecules.We randomly divided 30 rats into three groups.The blank control group received no treatment.The peritoneal dialysis model group was injected with 4.25% peritoneal dialysate (pdf) 20 ml daily, and the slx group was injected with 4.25% pdf 20 ml + sulodexide (slx) 20 mg/kg daily.After 8 weeks of dialysis, the rats were sacrificed, and the peritoneal function test was performed to determine the amount of glucose transport and ultrafiltration.The thickness of peritoneal per unit area was observed under high magnification.The level of inflammation in peritoneal tissue and the expression of tgf-β1/smad were detected.The results showed that slx can significantly improve peritoneal tissue thickening and inflammation, can downregulate the expression of tgf-β1, smad2, smad3, and smad7 in peritoneal tissue, and improve the progression of peritoneal fibrosis.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Study on the Effect of Different Doses of Hydromorphone on the Time Response and Postoperative Analgesia of Ropivacaine in Ultrasound-Guided Suprailiac Fascia Inguinal Block

To investigate the effects of different doses of hydromorphone under the guidance of ultrasound on ropivacaine blocking the superior inguinal iliac fascia and postoperative analgesia.Methods.From january 2020 to june 2021, 90 american society of anesthesiologists (asa) i-ii patients undergoing elective total hip arthroplasty (tha) were selected and randomly divided into 3 groups, 30 patients in each one.Ultrasound-guided superior inguinal iliac fascia block was performed in the patients of the 3 groups before operation.The l group: 0.3% ropivacaine 30 ml; the h1 group: 0.3% ropivacaine + 25 μg/kg hydromorphone 30 ml; the h2 group: 0.3% ropivacaine + 50 μg/kg hydromorphone 30 ml.The time until the occurrence of pain, pain intensity, sufentanil remedial dose, the number of pcia presses, and effective times were compared among the 3 groups.The vas and ramsay scores of 3 groups were recorded at 12 h, 24 h, 36 h, and 48 h after operation.Results.The time from the end of surgery to the appearance of pain in the h2 group was higher than that in the h1 group and the l group, and the time in the h1 group was higher than that in the l group ( p &lt; 0.05 ).The vas score in the h2 group was lower than that in the h1 group and the l group, and the vas score in the h1 group was lower than that in the l group ( p &lt; 0.05 ).The vas scores of 12 h, 24 h, 36 h, and 48 h after operation in the h2 group were lower than those of the h1 group and the l group, and the h1 group was lower than the l group ( p &lt; 0.05 ).The ramsay scores at 12 h, 24 h, 36 h, and 48 h after operation in the h2 group and the h1 group were higher than those in the l group ( p &lt; 0.05 ), and the difference was not statistically significant in the h2 group and the h1 group ( p &gt; 0.05 ).The remedial dosage of sufentanil, times of pcia compression, and effective times in the h2 group were lower than those in the h1 group and the l group, and the level in the h1 group was lower than that in the l group ( p &lt; 0.05 ).The incidence rates of adverse reactions in the l group, the h1 group, and the h2 group were 13.33%, 23.33%, and 30.00%, respectively.There was no significant difference in the incidence rate of adverse reactions among the 3 groups ( p &gt; 0.05 ).Conclusion.25 μg/kg and 50 μg/kg hydromorphone used in the ultrasound-guided superior inguinal iliac fascia block can enhance the time effect of ropivacaine and improve analgesic effects, with good safety.In addition, time effect and analgesic effect of 50 μg/kg hydromorphone in enhancing ropivacaine were more obvious.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Clinical Study;
Study of Scraping with Copper Stone Based on Theory of Midnight-Noon Ebb-Flow in Angina Pectoris with Coronary Heart Disease of Qi Stagnation and Blood Stasis

Angina pectoris (ap) with coronary heart disease (chd) is one of the common cardiovascular diseases in clinical practice, which can be classified as “chest paralysis” in chinese medicine according to its symptoms, and it is described in many ancient documents.Ancient chinese medicine believes that the main pathogenesis of the disease is poor blood flow leading to paralysis of the heart and veins, so it is often treated by activating blood and removing blood stasis.In this study, 120 patients with ap of chd of qi stagnation and blood stasis type were randomly divided into the observation (n = 60) and the control group (n = 60).In the control group, basic care, conventional treatment, and unselected copper acupuncture scraping were used, while in the observation group, copper acupuncture scraping was performed at the right time of the heart meridian (11 : 00–13 : 00) on the basis of the control group, and all patients received the treatment for a total duration of 4 weeks.We collected data on the traditional chinese medical (tcm) syndrome score, frequency and duration of angina attacks, nitroglycerin dosage, inflammatory factor levels, and hematological indices pretreatment and posttreatment in both groups.Patients’ adverse effects during treatment were recorded, and the clinical efficacy and ecg efficacy in both groups were evaluated after 4 weeks.We used spss.20 statistical software to statistically analyze the above data, and the results showed that the clinical efficacy and ecg efficacy of the observation group were significantly higher than the control group posttreatment.After treatment, the tcm symptom score, angina attack frequency, attack duration and nitroglycerin dosage, serum interleukin-8 (il-8), hypersensitive c-reactive protein (hs-crp), and tumor necrosis factor-α (tnf-α) levels, whole blood viscosity (wbv), plasma viscosity (pv), fibrinogen (fib), and hematocrit (hct) were significantly lower in both groups compared with those posttreatment.And the observation group showed a greater decrease when compared with the control group.The results also showed that the overall incidence of adverse reactions was lower in both groups during the treatment period.The above results indicate that while ensuring high safety, the copper stone based on theory of midnight-noon ebb-flow can more effectively improve the symptoms and inflammatory response of the body and reduce the viscosity of the blood in ap with chd of qi stagnation and blood stasis, and it has better therapeutic effects.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Structural Modifications and Strategies for Native Starch for Applications in Advanced Drug Delivery

Pharmaceutical excipients are compounds or substances other than api which are added to a dosage form, these excipients basically act as carriers, binders, bulk forming agents, colorants, and flavouring agents, and few excipients are even used to enhance the activity of active pharmaceutical ingredient (api) and various more properties.However, despite of these properties, there are problems with the synthetic excipients such as the possibility of causing toxicity, inflammation, autoimmune responses, lack of intrinsic bioactivity and biocompatibility, expensive procedures for synthesis, and water solubility.However, starch as an excipient can overcome all these problems in one go.It is inexpensive, there is no toxicity or immune response, and it is biocompatible in nature.It is very less used as an excipient because of its high digestibility and swelling index, high glycemic index, paste clarity, film‐forming property, crystalline properties, etc.All these properties of starch can be altered by a few modification processes such as physical modification, genetic modification, and chemical modification, which can be used to reduce its digestibility and glycemic index of starch, improve its film‐forming properties, and increase its paste clarity.Changes in some of the molecular bonds which improve its properties such as binding, crystalline structure, and retrogradation make starch perfect to be used as a pharmaceutical excipient.This research work provides the structural modifications of native starch which can be applicable in advanced drug delivery.The major contributions of the paper are advances in the modification of native starch molecules such as physically, chemically, enzymatically, and genetically traditional crop modification to yield a novel molecule with significant potential for use in the pharmaceutical industry for targeted drug delivery systems.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Somatostatin plus Gastroscopic Administration of Omeprazole for the Treatment of Acute Upper Gastrointestinal Bleeding: An Exploration of a Promising Alternative

To analyze the efficacy and safety of somatostatin combined with gastroscopic administration of omeprazole in the treatment of acute upper gastrointestinal bleeding.Methods.Eligible 112 patients with acute upper gastrointestinal bleeding treated in our hospital from may 2019 to july 2020 were randomized at a ratio of 1 : 1 either to the control group (somatostatin) or observation group (somatostatin combined with omeprazole gastroscope administration).The treatment efficacy, the average hemostasis time, rebleeding rate, average length of hospital stay, and the incidence of adverse reactions were compared.Results.The study group demonstrated significantly higher total effective rate than the control group (96.45% vs.80.36%, &lt;0.05).The study group demonstrated superior performances compared to the control group with respect to the average hemostasis time ((14.17 ± 2.53 h) vs.(28.84 ± 4.07 h)), rebleeding rate (3.57% vs.14.28%), and average length of hospital stay ((5.86 ± 1.26 d) vs.(9.74 ± 1.07 d)) (all p &lt; 0.05 ).The chi-square test revealed a remarkably lower total incidence of adverse reactions in the study group vs.Control group which was (4 (7.14%) vs.12 (21.43%)) ( p &lt; 0.05 ).Conclusion.The combination of somatostatin and gastroscopic administration of omeprazole might be a promising alternative for the treatment of acute upper gastrointestinal bleeding.It improves the clinical treatment effect and controls the symptoms of patients, with a good safety profile.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Clinical Study;