bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolutionary Game Analysis of Industry-University-Research Cooperative Innovation in Digital Media Enterprise Cluster Based on GS Algorithm
Authors: Duan Xuan , Sun Pengfei , Wang Xu , Zhan Bisheng
Published: August 2022

In order to study all the advantages and disadvantages of digital media enterprises, technological innovation can only be completed through cooperation. A kind of industry-university-research cooperative innovation evolutionary game method based on GS algorithm is proposed for digital media enterprise clusters. This method analyzes the evolutionary game theory of innovation and puts forward the evolutionary stability strategy of cooperative innovation between enterprises and research institutions. The results show that decreasing

V

is beneficial for the evolutionary game to approach the equilibrium point (1,1); that is, the greater the cost of independent innovation is compared with collaborative innovation, the stronger the willingness of both sides of the game to collaborative innovation. Enterprises and scientific research institutions are two different subjects with different interests. If they want to complete innovation cooperation, they need to formulate a perfect set of rules so that both sides of the game can carry out cooperative innovation according to the principles, so as to achieve the goal of cooperation.
Design of Piano Intelligent Teaching System Based on Neural Network Algorithm
Authors: Chen Bo
Published: August 2022

In recent years, with the improvement of economic level, music art has become a major focus of extracurricular teaching. Students of all ages are included. However, the high cost of piano teaching and the unique one-to-one teaching method of teachers and students lead to the lack of piano education resources. Learning piano has become a luxury activity. Therefore, using computer multimedia software to teach piano has become a feasible way to alleviate the current contradiction. For piano teaching, the main difficulties are the differences between teachers and students (i.e., the data change at both ends due to the network), the instability of the network system, and the neural network algorithm can solve these difficulties. Based on this point, this work aims to introduce neural network algorithm into piano teaching intelligent system. This paper first introduces the theoretical basis of the neural network algorithm, then expounds the algorithm flow and general framework of the algorithm in speech recognition, and explains the split explanation in combination with five aspects: preprocessing, character extraction, acoustic model, linguistic model, and decoding. Then, it introduces the system design of intelligent piano teaching and describes the general system requirements and product architecture. Finally, the intelligent piano teaching system is tested and applied to prove the effectiveness of the system. I hope this intelligent piano teaching system can provide more convenience for piano teaching.
Herbal Ingredients in the Prevention of Breast Cancer: Comprehensive Review of Potential Molecular Targets and Role of Natural Products
Authors: Küpeli Akkol Esra , Bardakci Hilal , Barak Timur Hakan , Aschner Michael , Şeker Karatoprak Gökçe , Khan Haroon , Hussain Yaseen
Published: August 2022

Among various cancers, breast cancer is the most prevalent type in women throughout the world. Breast cancer treatment is challenging due to complex nature of the etiology of disease. Cell division cycle alterations are often encountered in a variety of cancer types including breast cancer. Common treatments include chemotherapy, surgery, radiotherapy, and hormonal therapy; however, adverse effects and multidrug resistance lead to complications and noncompliance. Accordingly, there is an increasing demand for natural products from medicinal plants and foods. This review summarizes molecular mechanisms of signaling pathways in breast cancer and identifies mechanisms by which natural compounds may exert their efficacy in the treatment of breast cancer.
Constitutive Model and Fracture Criterion of Q345 Steel Welded Joints
Authors: Song Lian , Li Genfeng , Zhu Cong , Fang Huaqiang , Zhu Guoqing
Published: August 2022

Welding joint is a key component in steel structure engineering, which is often subjected to complex stress and becomes the weak link of building structure, and different fracture modes may appear under different stress. In this study, the ductile fracture of Q345 steel welded joint was investigated by selecting the base material and heat‐affected zone (HAZ) material. Based on the J–C (Johnson–Cook) fracture model of stress triaxiality factor, a series of round bar specimens were designed for the tensile test, and the variation of minimum diameter and gauge distance was tracked in real time by digital image correlation (DIC) technology, and the cloud map of strain distribution in the whole loading process was obtained. The constitutive model and fracture criterion model of Q345 steel welded joint base material and HAZ material are established through experimental measurement. The results show that the maximum triaxial stress is at the center root of the minimum diameter of the notched round bar tensile specimen, the sudden change of the notched edge will lead to stress concentration, the stress change of the notch section is the most significant, extending from near the notch, the maximum strain is at the root of the notch, and the fracture position appears at the minimum section of the notch. According to the true stress‐strain curve of a standard tensile specimen and the least square method, the values of parameters A, B, and N of the J–C (Johnson–Cook) constitutive model of base material and HAZ material are 379.80, 452.89, and 0.37 and 392.90, 540.61, and 0.49, respectively. The fracture strains of the base metal and HAZ material under different triaxial stresses were measured experimentally, and the J–C fracture model was fitted. The values of failure criterion parameters D1, D2, and D 3 were 1.025, −0.008, and 3.617 and 0.678, −2.689E‐5, and 7.683, respectively. This provides experimental parameters for mechanical properties and fracture models of welded joints in structural engineering, refined finite element models considering material failure for structural numerical analysis, and basic data for evaluation and design of building structures, which have good social and economic benefits.
Electroacupuncture Reduces Cerebral Hemorrhage Injury in Rats by Improving Cerebral Iron Metabolism
Authors: Chen Qiuxin , Song Wenjing , Tang Yihe , Tang Yizhou , Kang Yuying , Zhu Luwen
Published: August 2022

Objective. To study the effects of electroacupuncture at Baihui and Dazhui points on the expression of hepcidin (Hepc), transferrin (Tf), transferrin receptor (TfR), and ferritin (Ft) in rats with cerebral hemorrhage to provide a theoretical basis for the treatment of cerebral hemorrhage with acupuncture. Method. The model of cerebral hemorrhage in rats was established by autologous blood injection method and treated by electroacupuncture (EA) at the acupoints of Baihui and Dazhui. Hepc siRNA was injected into the lateral ventricle 30 min before model preparation to produce the cerebral hemorrhage model. The modified neurological severity score (mNSS) was used to assess the neurological function, and the total iron content in brain tissue was determined using atomic absorption spectrometry; the expression of Hepc, Ft, Tf, and TfR in perihematoma tissue was detected using immunohistochemistry; the interference efficiency of Hepc siRNA was detected using western blot and reverse transcription polymerase chain reaction (RT-PCR). Results. The degree of neurological deficit showed a downward trend at 3 days, 7 days, and 14 days, and electroacupuncture significantly reduced the neurological deficit score at each time point (

P
<
0.01

). Regarding total iron content in brain tissue, on the 3rd day, the 7th day, and the 14th day, the iron content of the hematoma tissue after intracerebral hemorrhage was reduced by electroacupuncture (

P
<
0.01

). Regarding immunohistochemical results. Hepc, Ft, Tf, and TfR protein expressions on day 14 were significantly higher after cerebral hemorrhage (

P
<
0.01

). After electroacupuncture, the expression of Hepc, Ft, Tf, and TfR protein was significantly reduced (

P
<
0.01

). Western blot and RT-PCR revealed that the interference efficiency of Hepc siRNA was statistically significant (

P
<
0.01

). Conclusion. Electroacupuncture can reduce neurological severity scores in rats with cerebral hemorrhage and may exert cerebral protective effects by reducing Hepc protein and gene expression; lowering Ft, Tf, and TfR protein expression; and promoting iron metabolism in the brain of rats with cerebral hemorrhage.
Insulators’ Identification and Missing Defect Detection in Aerial Images Based on Cascaded YOLO Models
Authors: Liu Jingjing , Liu Chuanyang , Wu Yiquan , Sun Zuo , Xu Huajie
Published: August 2022

Insulators identification and their missing defect detection are of paramount importance for the intelligent inspection of high-voltage transmission lines. As the backgrounds are complex, some insulators may be occluded, and the missing defect of the insulator is so small that it is not easily detected from aerial images with different backgrounds. To address the above issues, in this study, a cascaded You Only Look Once (YOLO) models are mainly explored to perform insulators and their defect detection in aerial images. Firstly, the datasets used for insulators location and missing defect detection are created. Secondly, a new model is proposed to locate the position of insulators, which is improved in the feature extraction network and multisacle prediction network based on previous YOLOv3-dense model. An improved YOLOv4-tiny model is used to conduct missing defect detection on the detected insulators. And then, the proposed YOLO models are trained and tested on the built datasets, respectively. Finally, the final models are cascaded for insulators identification and their missing defect detection. The average precision of missing defect detection can reach 98.4%, which is 5.2% higher than that of faster RCNN and 10.2% higher than that of SSD. The running time of the cascaded YOLO models for missing defect detection can reach 106 frames per second. Extensive experiments demonstrate that the proposed deep learning models achieve good performance in insulator identification and its missing defect detection from the inspection of high-voltage transmission lines.
[Retracted] Influence of Good Death Perception, Moral Anguish, and End‐of‐life Care Attitude on End‐of‐life Care Performance of General Hospital Health Managers
Authors: Lee Min-Jung , Je Nam-Joo
Published: August 2022

This study attempted to identify the influence of good death perception, moral anguish, and End‐of‐life (EOL) care attitudes on the End‐of‐life (EOL) care performance of General Hospital Health Managers (GHHMs). This study was a quantitative and descriptive survey. The respondents of this study were 156 GHHMs working in three general hospitals with 300 beds or more and one general hospital with 100 beds or more in one of the cities in South Korea. The survey data were obtained from September 20 to October 20, 2021, and a total of 156 responses were analyzed by multiple linear regression using IBM SPSS/WIN 24.0 program. Results of the study revealed that it can be said that the higher the good death perception and the higher the moral anguish, the better the EOL care performance. The total explanatory power was 23.4%, and good death perception and moral distress explained EOL care performance by 23.4%. Furthermore, the general hospital managers’ good health perception, moral anguish improved the performance and work satisfaction among nurses. It was necessary to implement a systematic EOL care education program to facilitate quality EOL care. Communication problems and lack of time are obstacles to EOL care performance, so hospital managers and the head of the nursing department provide communication‐related education to EOL care GHHMs and allocate appropriate manpower so that GHHMs can actively and efficiently perform EOL care. It can be said that the higher the good death perception, the higher the moral anguish, and the higher the degree of EOL care performance. This study was meaningful in revealing good death perception, and moral agony in clinical practice have a significant effect on EOL care performance.
Pattern Design of Ethnic Clothing Based on Stretchable Nanofiber Fabrics
Authors: Lu Xueqing , Wen Jing , Shao Xiaohua
Published: August 2022

With the rapid development of social economy, people’s material and spiritual living standards have been greatly improved, and the demand for clothing has also increased. Chinese clothing has distinct national characteristics, and it contains rich national culture. Through a lot of research, it will be found that most of the national costume patterns represent some symbols with specific meanings. From the symbols, we can see the status, hobbies, and beliefs of the costume owners. At present, the popularity of traditional ethnic clothing is low, for which stretchable nanofiber fabrics are introduced in this paper. Through the influence of image rotation, scale change, noise interference, and other factors, a method for extracting features of ethnic clothing patterns based on image rotation, scale change, and noise interference is proposed. It uses digital inkjet printing to design patterns on nanofiber fabrics, compares the satisfaction degree of the nanofiber fabric national costumes designed in this paper and traditional national costumes, and divides the satisfaction into four levels: satisfied, relatively satisfied, general, and dissatisfied. The experimental results showed that the satisfaction rate of the ethnic costumes designed in this paper has reached 79.12%, which has been greatly improved compared with the traditional ethnic costumes.
Research on Multimedia Technology-Assisted College English Grammar Teaching
Authors: Xu Huarui , Yao Yun
Published: August 2022

The English Curriculum Standard for Compulsory Education lists the specific requirements for the integration of English discipline and information technology to optimize the presentation of education. For college students’ English teaching, the most appropriate and effective way is to widely apply multimedia courses to English teaching. Using the rich multimedia knowledge of multimedia courses to expand students’ oral English and teaching skills, widen the reading path of reading and writing, multimedia tutoring teaching can concretize and visualize abstract knowledge well, and rich multimedia knowledge can facilitate students’ learning and play an important role in understanding knowledge. This paper focuses on multimedia technology-assisted college English grammar teaching. The multimedia technology is analyzed by using the multimedia data hashing algorithm with semantic fusion. Then, the application of multimedia teaching materials in teaching and traditional teaching methods is experimented. By comparing their learning effects, the author draws a conclusion that multimedia technology has been applied in English grammar teaching to a certain extent, and the present situation of its application is relatively good. Most of them have an encouraging attitude, especially in improving students’ learning attitude and increasing their interest in learning. Due to the limitations of awareness and conditions, the extent and progress of the integration of information technology and disciplines have lagged behind relatively, and there are many difficulties in the application of multimedia course materials; there are certain difficulties in integrating multimedia course materials and English subjects.
Advances in Hyperspectral Image Classification with a Bottleneck Attention Mechanism Based on 3D-FCNN Model and Imaging Spectrometer Sensor
Authors: Yuan Deren , Xie Xiaochun , Gao Gao , Xiao Ju
Published: August 2022

Deep learning approaches have significantly enhanced the classification accuracy of hyperspectral images (HSIs). However, the classification process still faces difficulties such as those posed by high data dimensions, large data volumes, and insufficient numbers of labeled samples. To enhance the classification accuracy and reduce the data dimensions and training needed for labeled samples, a 3D fully convolutional neural network (3D-FCNN) model was developed by including a bottleneck attention module. In such a model, the convolutional layer replaces the downsampling layer and the fully connected layer, and 3D full convolution is adopted to replace the commonly used 2D and 1D convolution operations. Thus, the loss of data in the dimensionality reduction process is effectively avoided. The bottleneck attention mechanism is introduced in the FCNN to reduce the redundancy of information and the number of labeled samples. The proposed method was compared to some advanced HSI classification approaches with deep networks, and five common HSI datasets were employed. The experiments showed that our network could achieve considerable classification accuracies by reducing the data dimensionality using a small number of labeled samples, thereby demonstrating its potential merits in the HSI classification process .
Artistic Expression in Visual Communication Design in Multimedia Background
Authors: Yang Zitong , Yang Shuo
Published: August 2022

The application of multimedia technology has realized the transformation of people’s production and lifestyle, and also promoted the improvement of people’s aesthetic ability. At present, the application of multimedia in the field of art is increasing, and traditional artistic expression has been unable to satisfy the people’s appreciation of beauty. Using high-efficiency production and extensive communication technology, this paper aims to study the research on artistic expressions in visual communication design in the multimedia environment, which is helpful to analyze the role and influence of current artistic elements on visual communication design. It draws on the principles and laws of visual communication design to analyze and evaluate image processing techniques and to realize the ecology of visual communication design. The results show that the highest error rate for low iterations is only 0.014. In the comparison of the method in this paper with other methods, it is found that the method in this paper has the shortest iteration time and the least number of iterations. Among them, the iteration time is 2.945 s, the number of iterations is 10, and the error rate is 0.0016. It can be seen from the identified pictures that the iteration time of the method in this paper is 2.647 s, and the number of iterations is only 10. Therefore, it is crucial to analyze image-based artistic expressions.
Iterative Arrangements of the MSCFP for Strictly Pseudocontractive Mappings
Authors: Xue Lin , Cui Huanhuan
Published: August 2022

In this paper, we consider the multiple-set split common fixed point problem in Hilbert spaces. We first study a couple of critical properties of strictly pseudocontractive mappings and particularly the property under mix activity. By utilizing these properties, we propose new iterative strategies for settling this problem as well as several connected issues. Under delicate conditions, we state weak convergence of the proposed strategies that expands the current works from the case of two subsets to the instance of multiple subsets. As an application, we give an exhibit of the theoretical results to the multiple-set split equality problem and the elastic net regularization.
The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning
Authors: Wang Qi , Wu Hao
Published: August 2022

Online learning is an important way for college students to learn English independently. The evaluation information provided by the previous online teaching platform is more summative evaluation, which cannot make students have a more intuitive and comprehensive understanding of their English learning status and lack of personalized guiding suggestions. Therefore, this paper combines data mining technology with machine learning to build an English diagnostic exercise model that can analyze students’ learning status, the correlation between knowledge points and question types, and predict English achievement, so as to provide students with more comprehensive analysis data information. The experimental results show that the evaluation model of college English diagnostic practice based on machine learning has the classification results of learning state with finer granularity, effectively analyzes the association rules of knowledge points and question types, and has high prediction performance. It can help students fully understand their English learning status, provide students with personalized analysis data and effective guiding suggestions, and enhance students’ English application ability, improving CET-4.
Evaluation of Tourism Food Safety and Quality with Neural Networks
Authors: Li Dandan , Wang Shuai , Zhao Ang
Published: August 2022

Food safety issues are inextricably linked to people’s lives and, in extreme cases, endanger public safety and social stability. People are becoming increasingly concerned about food safety issues in a modern society with high-quality economic development. People’s incomes are increasing day by day as the economy continues to grow, and the tourism industry has grown by leaps and bounds. However, many problems arose, such as the issue of food safety in tourism. Tourism food safety issues affect not only the development of the food industry but also the development of tourism. Food safety oversight of tourist attractions has always been a relatively concerning issue in the country, and it is also something that the general public is concerned about. It can be said that food safety supervision of tourist attractions is the most important thing in food safety supervision. In this context, it becomes an important task to evaluate the safety of tourist food. This work proposes a multiscale convolutional neural network (AMCNN) combined with neural networks and attention layers to realize the safety and quality evaluation of tourist food. The algorithm uses the lightweight Xception network as a basic model and utilizes multiscale depth-separable convolution modules of different sizes for feature extraction and fusion to extract richer food safety feature information. Furthermore, the convolutional attention module (CBAM) is embedded on the basis of the multiscale convolutional neural network, which makes the network model focus more on discriminative features.
Inpatient Fall Prediction Models: A Scoping Review
Authors: Parsons Rex , Blythe Robin D. , Cramb Susanna M. , McPhail Steven M.
Published: August 2022

Introduction: The digitization of hospital systems, including integrated electronic medical records, has provided opportunities to improve the prediction performance of inpatient fall risk models and their application to computerized clinical decision support systems. This review describes the data sources and scope of methods reported in studies that developed inpatient fall prediction models, including machine learning and more traditional approaches to inpatient fall risk prediction. Methods: This scoping review used methods recommended by the Arksey and O’Malley framework and its recent advances. PubMed, CINAHL, IEEE Xplore, and EMBASE databases were systematically searched. Studies reporting the development of inpatient fall risk prediction approaches were included. There was no restriction on language or recency. Reference lists and manual searches were also completed. Reporting quality was assessed using adherence to Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis statement (TRIPOD), where appropriate. Results: Database searches identified 1,396 studies, 63 were included for scoping assessment and 45 for reporting quality assessment. There was considerable overlap in data sources and methods used for model development. Fall prediction models typically relied on features from patient assessments, including indicators of physical function or impairment, or cognitive function or impairment. All but two studies used patient information at or soon after admission and predicted fall risk over the entire admission, without consideration of post-admission interventions, acuity changes or length of stay. Overall, reporting quality was poor, but improved in the past decade. Conclusion: There was substantial homogeneity in data sources and prediction model development methods. Use of artificial intelligence, including machine learning with high-dimensional data, remains underexplored in the context of hospital falls. Future research should consider approaches with the potential to utilize high-dimensional data from digital hospital systems, which may contribute to greater performance and clinical usefulness.
PreserFlo® MicroShunt: Ein Überblick über dieses minimalinvasive Gerät zur Behandlung des Offenwinkelglaukoms
Authors: Gambini Gloria , Carlà Matteo Mario , Giannuzzi Federico , Caporossi Tomaso , De Vico Umberto , Savastano Alfonso , Baldascino Antonio , Rizzo Clara , Kilian Raphael , Caporossi Aldo , Rizzo Stanislao
Published: August 2022

Bei mittelschwerem bis schwerem Glaukom ist die Trabekulektomie nach wie vor der «Goldstandard» für die Senkung des Augen­innendrucks (IOP); allerdings erfordert diese Methode eine umfangreiche postoperative Behandlung. Die mikroinvasive Glaukomchirurgie (MIGS) wurde entwickelt, um den intra- und postoperativen Pflegeaufwand zu verringern und gleichzeitig eine akzeptable Senkung des Augeninnendrucks bei Patienten mit leichtem bis mittelschwerem Glaukom zu ermöglichen. Der PreserFlo® MicroShunt (früher InnFocus MicroShunt) ist ein 8,5 mm großes Glaukom-Drainagegerät, das aus Poly(styrol-block-isobutylen-block-styrol) (SIBS), einem äußerst biokompatiblen und bioinerten Material, hergestellt wird. Das Lumen ist eng genug, um eine Hypotonie zu verhindern, aber groß genug, um nicht von Zellschuppen oder Pigmenten verstopft zu werden. Das Gerät wird ab externo, als eigenständiger Eingriff oder in Verbindung mit einer Kataraktoperation, mit intraoperativem Mitomycin C implantiert und ein Sickerkissen unter der Bindehaut und der Tenon-Kapsel erzeugt. Der MicroShunt wurde 2012 mit dem CE-Zeichen versehen und für das primäre Offenwinkelglaukom entwickelt, bei dem der IOP nach maximal verträglicher topischer Behandlung unkontrolliert bleibt. Es wurden mehrere klinische Studien zur Langzeitsicherheit und -wirksamkeit des MicroShunt durchgeführt, die die Wirksamkeit des Geräts über einen längeren Zeitraum und ein erträgliches Sicherheitsprofil belegen. Ziel der vorliegenden Studie ist es, Evidenz für die Wirksamkeit und Sicherheit von PreserFlo fast 10 Jahre nach seiner Einführung zu sammeln und es mit anderen MIGS und der Trabekulektomie, dem Goldstandard in der Glaukomtherapie, zu vergleichen.
Scoring-Systeme zur Bewertung der Krankheitsaktivität bei Morbus-Behçet-Chorioretinitis und ihre Anwendung
Authors: Ernst Sophie-Christin
Published: August 2022

Behçet’s disease is a multi-organ inflammatory disorder with systemic vasculitis of unknown etiology. Ocular lesions occur in about 70% of patients with Behçet’s disease, and it is more frequent and severe in men. The frequency of ocular inflammatory attacks has been used as a main outcome measure to assess the efficacy of therapy on uveoretinitis in patients with Behçet’s disease. The ocular Behçet’s disease research group of Japan have recently proposed a new scoring system, Behçet’s disease ocular attack score 24 (BOS24), to assess the disease activity of ocular Behçet’s disease. This review highlights the efficacy and application of the BOS24 scoring system in clinical practice for patients with ocular Behçet’s disease. In addition, a new semi-quantitative scoring system to evaluate the degree of retinal vascular leakage on fluorescein angiography reported by our group is described.
Remote Treatment Successfully Delivers a Usual Care Weight Loss and Lifestyle Intervention in Adults with Morbid Obesity
Authors: Fischer Martin , Weimann Thure , Oberänder Nadine , Schupitza Lena , Hösel Jana , Weimann Arved
Published: August 2022

Introduction: Remote delivery of behavioral and lifestyle interventions has shown a great potential for achieving weight loss comparable to in-person treatment. However, little is known about its effects on adherence and efficacy in a real-world setting. During the COVID-19 pandemic, our usual care, a 12-month treatment program for morbid obesity, had to be transitioned to remote delivery. We evaluated whether this had adverse effects on weight loss or adherence. Methods: We report retrospective data of 234 patients who belonged either to a cohort affected by the transition of treatment delivery (N = 117, mean age = 44.2 years; BMI = 47.7 kg/m2) or to an individually matched control group treated prior to the pandemic (N = 117, 44.4 years; 47.3 kg/m2). Weight loss, dropouts, and attendance were compared between both groups and between remote and regular treatment periods. Results: Weight loss and the number of dropouts did not differ between the two groups and between treatment periods. However, attendance at remotely offered meetings was lower in the pandemic group (72.5%) when compared to the same meetings offered face to face in the control group (81.0%, p < 0.001). Discussion/Conclusion: Usual care weight loss and lifestyle interventions for morbid obesity can be successfully delivered via remote treatment.
Feasibility, Efficiency, and Safety of Zero-Fluoroscopy Catheter Interventions for Right-Sided Cardiac Arrhythmias Using Only Electroanatomic Mapping
Authors: Hofer Daniel , Steffel Jan , Duru Firat , Graup Vera , Sasse Tom , Saguner Ardan , Breitenstein Alexander
Published: August 2022

Introduction: Fluoroscopy is traditionally used for catheter interventions in electrophysiology but carries a long-term health risk. Besides additional invasive procedures to achieve zero-fluoroscopy (ZF) interventions, electroanatomic mapping may be an alternative to fluoroscopy without the need of additional procedures. We aimed to investigate the feasibility, safety, and efficiency of a ZF approach using only electroanatomic mapping (ZF) compared to a conventional fluoroscopic (CF) approach for patients with right sided cardiac arrhythmias. Methods: We performed a single centre retrospective cohort study of consecutive patients undergoing catheter interventions for electrophysiologic procedures from January 2019 to December 2020. Patients with left-sided arrhythmias, focal cryoablation, implanted endocardial devices, or additional interventions requiring fluoroscopy were excluded. Results: 202 patients underwent a ZF and 126 patients underwent a CF approach for right-sided cardiac arrhythmias. Apart from atrial fibrillation (ZF 16% vs. CF 9%, p = 0.044), baseline demographics were similar in both groups. Acute success rate was 100% in the ZF group and 97.9% in the CF group. Mean procedure time was lower in the ZF group (70 ± 36 vs. 87 ± 44 min, p = 0.0001), while ablation time (356 ± 324 vs. 320 ± 294 s, p = 0.157) was similar. Total complication rate was low in general (1.0 % major, 2% minor complications) and without a difference between both groups. Conclusion: A ZF approach using only electroanatomic mapping without additional invasive procedures to diagnose and treat right-sided cardiac arrhythmias is feasible, efficient, and safe.
The Feasibility of Using Ultra-Widefield Retinal Imaging to Identify Ocular Pathologies amongst Those with Systemic Medical Disease Attending a Tertiary Healthcare Facility at a University Hospital
Authors: Uhrmann Matthias Fritz , Peto Tunde , Bullmann Timo , Andrassi-Darida Monika , Schumann Mathis , Schmitz-Valckenberg Steffen , Holz Frank G. , Lorenz Birgit
Published: August 2022

Aims: The aim of the study was to evaluate the feasibility of ultra-widefield (UWF) imaging to identify ocular pathologies amongst in- and out-patients in a tertiary university hospital. Methods: We followed a prospective double-blinded multicenter clinical study. In total, 634 patients from a university hospital with pulmonary, cardiovascular, and endocrine diseases were examined by two teams by conventional slit-lamp biomicroscopy (CBM). UWF images with Optos Tx200 were taken and subsequently graded independently by two retina specialists and graders from two reading centers for the presence of pre-defined pathologies. Interrater reliability was calculated using Fleiss statistical software. An independent, trained and certified ophthalmologist with retinal subspecialty (BL) classified all UWF images with retinal hemorrhages by severity and interrater agreement. Results: Complete data were available for 502 patients. The Moorfields Eye Hospital Reading Center, London, UK (RM), reported the highest number of cases with retinal pathologies (378), and the Reading Center GRADE Bonn, Germany (RB), did so for cases with optic disc cupping (466). Two retinal consultants (R1 and R2) from the Department of Ophthalmology, University Hospital Giessen and Marburg GmbH, Campus Giessen, Germany, noted optic disc pathologies. R1 reported 151 cases with optic disc pallor, while R2 reported only 39 disc pathologies. Both for clinical and for image readers, the early changes had equally low interrater reliability. The presence of at least 3 retinal hemorrhages had the highest interrater reliability (0.59). Conclusions: UWF imaging is convenient to identify overt retinal pathologies in patients at risk of ocular complications of their systemic disease who are attending hospital clinics. Imaging the eye allows for remote retinal assessment and for placing the patient into the appropriate clinical pathway for ophthalmology. Precis: UWF-imaging in a population of in- and out-patients at a university hospital who are at risk of retinal complications is effective to detect overt retinal pathologies and allows for tele-ophthalmology approaches to be enabled for placing the patients into the appropriate clinical pathways.
High accuracy sensor nodes for a peat swamp forest fire detection using ESP32 camera
Authors: Hamzah Shipun Anuar , Dalimin Mohd Noh , Som Mohamad Md , Zainal Mohd Shamian , Ramli Khairun Nidzam , Utomo Wahyu Mulyo , Yusoff Nor Azizi
Published: August 2022

The use of smoke sensors in high-precision and low-cost forest fire detection kits needs to be developed immediately to assist the authorities in monitoring forest fires especially in remote areas more efficiently and systematically. The implementation of automatic reclosing operation allows the fire detector kit to distinguish between real smoke and non-real smoke successfully. This has profitably reduced kit errors when detecting fires and in turn prevent the users from receiving incorrect messages. However, using a smoke sensor with automatic reclosing operation has not been able to optimize the accuracy of identifying the actual smoke due to the working sensor node situation is difficult to predict and sometimes unexpected such as the source of smoke received. Thus, to further improve the accuracy when detecting the presence of smoke, the system is equipped with two digital cameras that can capture and send pictures of fire smoke to the users. The system gives the users choice of three interesting options if they want the camera to capture and send pictures to them, namely request, smoke trigger and movement for security purposes. In all cases, users can request the system to send pictures at any time. The system equipped with this camera shows the accuracy of smoke detection by confirming the actual smoke that has been detected through images sent in the user’s Telegram channel and on the Graphical User Interface (GUI) display. As a comparison of the system before and after using this camera, it was found that the system that uses the camera gives advantage to the users in monitoring fire smoke more effectively and accurately.
PECULIARITIES OF HEART RHYTHM DISORDERS AND VENTRICULAR REPOLARIZATION STATUS IN PATIENTS WITH MYOCARDIAL INFARCTION WITHOUT ELEVATION OF SEGMENT ST DEPENDING ON THE INDICATORS OF STRUCTURAL REMODELING OF THE LEFT VENTRICLE
Authors: Maslovskyi V. Yu.
Published: August 2022

SUMMARY. Despite advances in the treatment of acute myocardial infarction in most developed countries, this pathology remains the leading cause of morbidity and mortality. The search for opportunities to predict the development of complications, study of remodeling processes and their impact on the development of electrical instability of the myocardium is currently considered as a promising area of non-invasive diagnosis of myocardial infarction.
The aim – to establish the features of cardiac arrhythmias and the condition of ventricular repolarization in patients with NSTEMI depending on the indicators of structural remodeling of the left ventricle.
Material and Methods. We conducted a comprehensive study of 200 patients with NSTEMI aged 38 to 80 years. All patients were examined according to the current protocol of diagnosis and treatment of patients with acute coronary syndrome without ST-segment elevation and daily Holter ECG monitoring was performed for 3–5 days after hospitalization.
Results. An increase in the left ventricular myocardial mass index and a change in the geometric model are associated with an increase in the probability of developing myocardial electrical instability, in particular extrasystoles of any topic and paroxysmal tachycardia. At the same time, changes in structural remodeling indicators did not reveal correlations with ventricular repolarization disorders in the early NSTEMI period.
Conclusions. Evaluation of the indicators of structural remodeling of the ventricular myocardium in the early period of NSTEMI allows to predict the risk of electrical instability of the myocardium and to carry out appropriate preventive measures.
КОМПЛЕКС LYME BORRELIA – КЛІНІЧНИЙ НАБІР ГЕНОМНИХ ВИДІВ
Authors: Никитюк С. О. , Климнюк С. I. , Левенець С. С. , Горішний І. М.
Published: August 2022

РЕЗЮМЕ. Лайм-бореліоз (LB) – це бореліозна інфекція, спричинена кліщами, інфікованими трьома видами Borrelia: B. afzelii, B. garinii та B. burgdorferi sensu stricto. Передається укусами кліщів.

Метою статті є обговорення генетичних методів обстеження при підозрі на Лайм бореліоз.

Матеріал і методи. Пошук літератури в системі MEDLINE та базі даних Scopus.

Результати. Генетичну ідентичність ізольованих борелій пропонується визначати шляхом аналізу послідовностей генів, ампліфікованих за допомогою ПЛР. Ген OspC здатний до горизонтальної передачі, що призводить до величезного різноманіття новосинтезованих кодованих ним білків. Це дозволяє спірохеті утворити нові антигенні епітопи, щоб уникнути імунної відповіді хазяїна.

Висновки. Штами B. burgdorferi sensu stricto демонструють високу генетичну гетерогенність.
ФОРМУВАННЯ КОМПЕТЕНЦІЙ МАЙБУТНІХ ФАХІВЦІВ ПЕРВИННОЇ МЕДИЧНОЇ ДОПОМОГИ ПРИ ВИВЧЕННІ СТАТИСТИКИ ТА БІОФІЗИКИ У МЕДИЧНОМУ УНІВЕРСИТЕТІ
Authors: Строгонова Т. В. , Бондар М. В. , Точиліна Т. М.
Published: August 2022

РЕЗЮМЕ. Стаття присвячена аналізу актуальних компетентностей фахівців первинної медичної допомоги зі статистики та фізики в процесі навчання у системі медичної освіти.

Реформа первинної ланки медичної допомоги змінила роль та місце сімейного лікаря у системі надання медичної допомоги населенню. В епідемічній ситуації навантаження на лікарів суттєво зросло, адже до них насамперед звертаються пацієнти з підозрою на COVID-19. Дуже часто саме сімейні лікарі вимушені були працювати в умовах невизначеності, вони стикались із незнайомими, раніше не описаними ситуаціями. В таких ситуаціях професійна компетентність лікаря визначається тільки його здібністю критично мислити та приймати рішення, що базуються на знаннях фундаментальних законів.

Авторами проаналізовано літературні джерела та використано метод порівняльно-історичного аналізу.

Критичне мислення формується з перших днів навчання лікаря та закладається у курсі природно-наукових дисциплін – фізики, що формує науковий світогляд студента, та математики, що надає інструменти аналізу кількісних відношень у світі. У часи пандемії зросла потреба серед лікарів у статистичних інструментах обробки інформації.

У зв’язку з цим автори пропонують розширити та доповнити перелік існуючих компетентностей зі статистики та біофізики, що включено у робочі програми дисциплін. На думку авторів, це дозволить підвищити компетентність майбутніх фахівців первинної медичної допомоги. Метою наступних досліджень є розробка навчально-методичних рекомендацій з проведення практичних занять для формування зазначених компетентностей.
Клінічна оцінка ефективності лікування хронічного катарального гінгівіту в дітей з олігофренією
Authors: Чухрай Н. Л. , Мусій-Семенців Х. Г. , Дутко Г. З. , Стадник У. О. , Лисак Т. Ю.
Published: August 2022

Резюме. Поширеність запальних захворювань тканин пародонта у дітей із психоневрологічними розладами сягає 100 %. Стоматологічна допомога таким дітям вимагає особливого підходу, а традиційні схеми лікування та профілактики запальних захворювань тканин пародонта потребують удосконалення з урахуванням особливостей клінічного статусу дітей з олігофренією.

Мета дослідження – розпрацювати та клінічно оцінити ефективність комплексу заходів для лікування хронічного катарального гінгівіту в дітей з олігофренією.

Матеріали і методи. Під спостереженням перебувало 54 дитини віком 12 років з олігофренією І ст. тяжкості, у яких діагностовано хронічний катаральний гінгівіт (ХКГ). З них до основної групи ввійшло 26 дітей, 28 дітей склали групу порівняння. Лікування ХКГ у дітей основної групи здійснювали за розпрацьованою схемою, яка включала екзогенні та ендогенні заходи. У дітей групи порівняння лікування ХКГ проводили відповідно до регіональних протоколів надання стоматологічної допомоги. Оцінку ефективності комплексної терапії ХКГ у групах дослідження здійснювали через 1; 6; 12 та 24 місяці на підставі клінічних змін, параклінічних індексів, рівня гігієни порожнини рота.

Результати досліджень та їх обговорення. Результати дослідження показали, що через два роки після застосування лікувально-профілактичного комплексу кількість дітей основної групи, у яких спостерігали стабілізацію стану тканин пародонта, зменшувалась, ніж на початку спостереження, проте у дітей групи порівняння цей показник був нижчим більш ніж у 1,5 раза. Ефективність запропонованого лікувально-профілактичного комплексу в дітей з олігофренією при наявності запальних процесів тканин пародонта також відображався у динаміці пародонтальних індексів та індексу гігієни порожнини рота. Відзначається покращення стану гігієни ротової порожнини, що може бути зумовлено, на нашу думку, проведенням професійної гігієни, контролем якості чищення зубів, а також гігієнічним навчанням дітей та їх батьків.

Висновки. Спостереження за дітьми з олігофренією протягом двох років застосування комплексу заходів для лікування хронічного катарального гінгівіту та нормалізації стану тканин пародонта підтвердило ефективність запропонованого комплексу покращенням стану ясен та гігієни порожнини рота, а також позитивною динамікою у показниках пародонтологічних індексів.
СТАНДАРТИ НАЛЕЖНОЇ АПТЕЧНОЇ ПРАКТИКИ ЯК БАЗИС РЕАЛІЗАЦІЇ КОНЦЕПЦІЇ ФАРМАЦЕВТИЧНОЇ ДОПОМОГИ ПАЦІЄНТАМ ІЗ ЦУКРОВИМ ДІАБЕТОМ
Authors: Vlasenko I. O. , Davtian L. L.
Published: August 2022

Мета роботи: визначення атрибутів належної аптечної практики в реалізації концепції фармацевтичної допомоги хворим на цукровий діабет на підставі аналізу міжнародного досвіду.
Матеріали і методи. Об’єктами дослідження слугували інформація баз даних мережі Інтернет PubMed, Cochrane Library тощо та міжнародні рекомендації. Застосовували контент-аналіз, бібліосемантичний, логічний, аналітичний, узагальнюючий аналізи.
Результати дослідження та обговорення. Дослідження науковців свідчать про значну роль фармацевтів у діабетологічній допомозі хворим на цукровий діабет. Впровадження стандартів належної аптечної практики є ефективним у процесі надання фармацевтичної допомоги. Фармацевти можуть покращити результати лікування цукрового діабету за рахунок надання кваліфікованої фармацевтичної допомоги. Впровадження атрибутів належної аптечної практики є світовою практикою надання фармацевтичної допомоги хворим на цукровий діабет. Визначено атрибути належної аптечної практики в реалізації концепції фармацевтичної допомоги хворим на цукровий діабет, що включають: інформування про фактори ризику цукрового діабету та пропаганду здорового способу життя; виявлення недіагностованого та некоменсованого цукрового діабету; навчання хворих самоконтролю цукрового діабету тощо.
Висновок. В Україні на даному етапі майже не реалізовується в практичному плані використання здобутків стандартів належної аптечної практики, які орієнтовані на певне хронічне захворювання, таке як цукровий діабет. Впровадженню належної аптечної практики повинно передувати вивчення потреб хворих на цукровий діабет та актуальність впровадження для них атрибутів належної аптечної практики в аптечному закладі.
СУЧАСНІ АСПЕКТИ РЕАБІЛІТАЦІЇ ХВОРИХ З АЛІМЕНТАРНИМ ОЖИРІННЯМ НА ОСНОВІ КОМПЛЕКСНОГО ВИКОРИСТАННЯ МЕТОДІВ ФІЗИЧНОЇ ТЕРАПІЇ ТА ФІТОТЕРАПІЇ
Authors: Лещук Л. О. , Голяченко А. О.
Published: August 2022

У статті на основі теоретичного аналізу наукової та спеціальної літератури обґрунтовано доцільність проведення комплексного реабілітаційного лікування хворих з ожирінням. При дотриманні комплекс­ного підходу, що включає дієтотерапію, фітотерапію, ЛФК, фізіотерапевтичні методи лікування, мож­ливим є досягнення стійкого позитивного результату.
Баріатрична емболізація артерій шлунка в експерименті
Authors: Дзюбановський І. Я. , Продан А. М. , Кріцак М. Ю. , Маслій Б. М.
Published: August 2022

Мета роботи: оцінити ефективність баріатричної емболізації артерій шлунка в експериментальних тварин за динамікою змін маси, сироваткових рівнів греліну та лептину.

Матеріали і методи. Для проведення експерименту відібрано 10 свиней в’єтнамської породи віком 4-5 місяців, жіночої статі, які впродовж 2 місяців перебували на дієті з підвищеним вмістом жирів. Тварини, у яких маса перевищувала 30 % від початкового значення, вважали такими, що досягнули стану ожиріння. Контрольну групу склали 5 тварин ті є ж статі та віку, яких утримували в стандартних умовах та нормальній дієті. Виконували баріатричну емболізацію лівої шлункової артерії. Вимірювання динаміки маси тіла проводили через 1 та 3 місяці після операції БЕА. Сироваткові рівні (зразки венозної крові 2 мл) греліну та лептину також визначали до операції та через 1,3 місяця після неї з використанням відповідних наборів (ELISA).

Результати досліджень та їх обговорення. Аналіз динаміки маси тіла встановив її зменшення у піддослідних тварин через 3 місяці на 16,05 % від доопераційного показника (р˂0,001). Динаміка сироваткового рівня греліну продемонструвала його зменшення через 3 місяці спостереження після БЕА на 23,79 % від доопераційного показника (р˂0,001), а рівня лептину на 56,38 % (р˂0,001).