bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the prognostic value of IMDC risk score for nivolumab-treated patients with renal cancer and malignant melanoma
Authors: Beypınar Ismail , Sözel Yıldız , Önder Arif Hakan
Published: September 2023

BACKGROUND: The response of Renal Cell Cancer (RCC) to tyrosine kinase inhibitors (TKI) has been well established. Although these stratifications have been established for TKI response and prognosis, these parameters have recently been used to predict immunotherapy response in RCC. We aimed to use a combination of clinical parameters of International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk groups and metastatic sites at the time of diagnosis to predict the effectiveness of immune checkpoint inhibitors in malignant melanoma (MM). METHOD: In this cross-sectional study, we retrospectively analyzed the demographic information, metastatic sites, and IMDC risk group data. The blood parameters were included in the first cycle of nivolumab treatment. RESULTS: The OS was statistically different between the RCC and MM groups in terms of the IMDC. In univariate analysis of stage at diagnosis, CRP levels and bone and bone marrow metastases were confirmed to be prognostic factors in the MM population in terms of OS. Brain metastasis was a prognostic factor for RCC, whereas sex, line of treatment, LDH, bone, and splenic metastasis remained significant in patients with MM in terms of OS. Brain metastasis was prognostic in both cancer types in multivariate analysis in terms of PFS. In addition to brain metastasis, LDH levels and lung, liver, and splenic metastases also affect PFS in patients with MM undergoing nivolumab treatment. CONCLUSION: In our study, the IMDC was confirmed to be a prognostic factor for MM. The IMDC groups were similar, except for the favorable RCC and MM groups. Different metastatic sites were prognostic, similar to the IMDC risk group in the MM group.
Cross-modality semantic guidance for multi-label image classification
Authors: Huang Jun , Wang Dian , Hong Xudong , Qu Xiwen , Xue Wei
Published: September 2023

Multi-label image classification aims to predict a set of labels that are present in an image. The key challenge of multi-label image classification lies in two aspects: modeling label correlations and utilizing spatial information. However, the existing approaches mainly calculate the correlation between labels according to co-occurrence among them. While the result is easily affected by the label noise and occasional co-occurrences. In addition, some works try to model the correlation between labels and spatial features, but the correlation among labels is not fully considered to model the spatial relationships among features. To address the above issues, we propose a novel cross-modality semantic guidance-based framework for multi-label image classification, namely CMSG. First, we design a semantic-guided attention (SGA) module, which applies the label correlation matrix to guide the learning of class-specific features, which implicitly models semantic correlations among labels. Second, we design a spatial-aware attention (SAA) module to extract high-level semantic-aware spatial features based on class-specific features obtained from the SGA module. The experiments carried out on three benchmark datasets demonstrate that our proposed method outperforms existing state-of-the-art algorithms on multi-label image classification.
HT-WSO: A hybrid meta-heuristic approach-aided multi-objective constraints for energy efficient routing in WBANs
Authors: Bhagya Lakshmi A. , Sasirekha K. , Nagendiran S. , Ani Minisha R. , Mary Shiba C. , Varun C.M. , Sajitha L.P. , Vimala Josphine C.
Published: September 2023

Generally, Wireless Body Area Networks (WBANs) are regarded as the collection of small sensor devices that are effectively implanted or embedded into the human body. Moreover, the nodes included in the WBAN have large resource constraints. Hence, reliable and energy-efficient data transmission plays a significant role in the implementation and in constructing of most of the merging applications. Regarded to complicated channel environment, limited power supply, as well as varying link connectivity has made the construction of WBANs routing protocol become difficult. In order to provide the routing protocol in a high energy-efficient manner, a new approach is suggested using hybrid meta-heuristic development. Initially, all the sensor nodes in WBAN are considered for experimentation. In general, the WBAN is comprised of mobile nodes as well as fixed sensor nodes. Since the existing models are ineffective to achieve high energy efficiency, the new routing protocol is developed by proposing the Hybrid Tunicate-Whale Swarm Optimization (HT-WSO) algorithm. Subsequently, the proposed work considers the multiple constraints for deriving the objective function. The network efficiency is analyzed using the objective function that is formulated by distance, hop count, energy, path loss, and load and packet loss ratio. To attain the optimum value, the HT-WSO derived from Tunicate Swarm Algorithm (TSA) and Whale Optimization Algorithm (WOA) is employed. In the end, the ability of the working model is estimated by diverse parameters and compared with existing traditional approaches. The simulation outcome of the designed method achieves 13.3%, 23.5%, 25.7%, and 27.7% improved performance than DHOA, Jaya, TSA, and WOA. Thus, the results illustrate that the recommended protocol attains better energy efficiency over WBANs.
Evaluation of text summarization techniques in healthcare domain: Pharmaceutical drug feedback
Authors: Arora Monika , Mudgil Pooja , Sharma Utkarsh , Chopra Chaitanya , Singh Ngangbam Herojit
Published: September 2023

Text summarization techniques offer a way to address the significant challenges faced by clinicians and researchers due to the exponential growth of information in healthcare on the internet. By condensing lengthy text into concise summaries, these techniques facilitate faster, easier, and convenient access to relevant information. This is particularly beneficial in use cases such as online user feedback/reviews about drugs, where valuable insights can be obtained that extend beyond clinical trials and observational studies. This paper comprehensively evaluates six widely used text summarization techniques (LSA, Luhn’s Method, Text Rank, T5 Transformer, and Kullback-Leibler, BERT) in extracting key insights, themes and patterns about drugs from online drug reviews. The evaluation considers both quantitative and qualitative aspects, focusing on their applicability to the challenging medical terminology, which is known for its inherent intricacies and complexities. The findings of this study showed the performance of text summarization techniques using metrics such as F1 score, Recall, and Precision, focused on the unigram, bigram, and trigram overlap between the generated text summaries and the reference summaries, utilizing the ROUGE-1, ROUGE-2, and ROUGE-L evaluation methods. It is shown that results showed TextRank to be the most effective text summarization method followed by BERT when working with Medical Terminology in Healthcare & Biomedical Informatics, given its complex hierarchy and extensive vocabulary of medical terms.
Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
Authors: Amarnadh Vadipina , Moparthi Nageswara Rao
Published: September 2023

Credit risk is the critical problem faced by banking and financial sectors when the borrower fails to complete their commitments to pay back. The factors that could increase credit risk are non-performing assets and frauds which are improved by continuous monitoring of payments and other assessment patterns. In past years, few statistical and manual auditing methods were investigated which were not much suitable for tremendous amount of data. Thus, the growth of Artificial Intelligence (AI) with efficient access to big data is focused. However, the effective Deep Learning (DL) and Machine Learning (ML) techniques are introduced to improve the performance and issues in banking and finance sectors by concentrating the business process and customer interaction. In this review, it mainly focusses on the different learning methods-based research articles available in recent years. This review also considers 93 recent research articles that were available in the last 5 years related to the topic of credit risk with different learning methods to tackle traditional challenges. Thus, these advances can make the banking process as smart and fast while preserving themselves from credit defaulters.
Analysis of thermo-mechanical coupling characteristics of feed system of woodworking center based on fuzzy control algorithm
Authors: Sun Yin-Kun , Hua Jun , Li Yan-Na , Chen Guang-Wei
Published: September 2023

With the rapid development of science and technology, automatic control systems have been applied in more and more fields. At the same time, the requirements for the stability, accuracy, response speed, and self-regulation ability of the system are also increasing. In the wood processing industry, the heating system of factories is an important link to ensure normal production. Therefore, in order to further improve the production efficiency of the wood processing industry and enhance the stability and controllability of the heating system in wood processing production, this article takes into account the delay and coupling effects in the rapid heating process, and combines fuzzy control with temperature control to study and establish a woodworking thermal mechanical coupling model based on fuzzy control algorithm. The results show that compared with traditional PID control, fuzzy control has advantages such as short response time, small overshoot, high steady-state accuracy, fast steady-state recovery, and good dynamic and static performance. Under the condition of rapid heating, the existence of delay effect weakens the effect of Thermal shock, while the coupling effect not only affects the propagation of thermoelastic waves in the elastic body, but also weakens the weakening effect of delay effect on Thermal shock to a certain extent.
Unsupervised leaf segmentation in complex backgrounds using mutual information minimization
Authors: Guo Yijian , Sun Kaiqiong , Luo Gang , Wang Meng
Published: September 2023

Leaf segmentation is crucial for plant recognition, especially for tree species identification. In natural environments, leaf segmentation can be very challenging due to the lack of prior information about leaves and the variability of backgrounds. In typical applications, supervised algorithms often require pixel-level annotation of regions, which can be labour-intensive and limited to identifying plant species using pre-labelled samples. On the other hand, traditional unsupervised image segmentation algorithms require specialised parameter tuning for leaf images to achieve optimal results. Therefore, this paper proposes an unsupervised leaf segmentation method that combines mutual information with neural networks to better generalise to unknown samples and adapt to variations in leaf shape and appearance to distinguish and identify different tree species. First, a model combining a Variational Autoencoder (VAE) and a segmentation network is used as a pre-segmenter to obtain dynamic masks. Secondly, the dynamic masks are combined with the segmentation masks generated by the mask generator module to construct the initial mask. Then, the patcher module uses the Mutual Information Minimum (MIM) loss as an optimisation objective to reconstruct independent regions based on this initial mask. The process of obtaining dynamic masks through pre-segmentation is unsupervised, and the entire experimental process does not involve any label information. The experimental method was performed on tree leaf images with a naturally complex background using the publicly available Pl@ntLeaves dataset. The results of the experiment showed that compared to existing excellent methods on this dataset, the IoU (Intersection over Union) index increased by 3.9%.
Remarks regarding some Algebras of Logic
Authors: Călin Mariana Floricica , Flaut Cristina , Piciu Dana
Published: September 2023

Algebras of Logic deal with some algebraic structures, often bounded lattices, considered as models of certain logics, including logic as a domain of order theory. There are well known their importance and applications in social life to advance useful concepts, as for example computer algebra. Starting from results obtained by Di Nolla and Lettieri in [1], in which they analyzed the structure of finite BL-algebras, in this paper we find properties and give examples of commutative unitary rings R with its set of ideals Id (R) to be a BL-algebra of a given type. Moreover, we present properties of finite rings or rings with a finite number of ideals in their connections with BL-rings.
Characteristics of students’ learning behavior preferences — an analysis of self-commentary data based on the LDA model
Authors: Shi Dingpu , Zhou Jincheng , Wu Feng , Wang Dan , Yang Duo , Pan Qingna
Published: September 2023

How to better grasp students’ learning preferences in the environment of rapid development of engineering and science and technology so as to guide them to high-quality learning is one of the important research topics in the field of educational technology research today. In order to achieve this goal, this paper utilizes the LDA (Latent Dirichlet Allocation) model for text mining of the survey results on the basis of a survey on students’ self-perception evaluation. The results show that the LDA model is capable of extracting terms from text, fuzzy identifying groups of students at different levels and presenting potential logical relationships between the groups, and further analyzing the learning preferences of students at different levels for IT courses. Based on the student’s learning needs, this paper proposes recommendations for developing students’ learning effectiveness. The LDA method proposed in this paper is a feasible and effective method for assessing students’ learning dynamics as it generates cognitive content about students’ learning and allows for the timely discovery of students’ learning expectations and cutting-edge dynamics.
EmotionFusion: A unified ensemble R-CNN approach for advanced facial emotion analysis
Authors: Umamageswari A. , Deepa S. , Bhagyalakshmi A. , Sangari A. , Raja K.
Published: September 2023

To assess non-verbal reactions to commodities, services, or products, sentiment analysis is the technique of identifying exhibited human emotions utilizing artificial intelligence-based technology. The facial muscles flex and contract differently in response to each facial expression that a person makes, which facilitates the deep learning AI algorithms’ ability to identify an emotion. Facial emotion analysis has numerous applications across various industries and domains, leveraging the understanding of human emotions conveyed through facial expressions, so it is very much required in healthcare, security and survelliance, Forensics, Autism and cultural studies etc,.. In this study, facially expressed sentiments in real-time photographs as well as in an existing dataset are classified using object detection techniques based on deep learning. Fast Region-based Convolution Neural Network (R-CNN) is an object detection system that uses suggested areas to categorize facial expressions of emotion in real-time. Using a high-quality video collection made up of 24 actors who were photographed facially expressing eight distinct emotions (Happy, Sad, Disgust, Anger, Surprise, Fear, Contempt and Neutral). The Fast R-CNN and Mouth region-based feature extraction and Maximally Stable Extremal Regions (MSER) method used for classification and feature extraction respectively. In order to assess the deep network’s performance, the proposed work builds a confusion matrix. The network generalizes to new images rather well, as seen by the average recognition rate of 97.6% for eight emotions. The suggested deep network approach may deliver superior recognition performance when compared to CNN and SVM methods, and it can be applied to a variety of applications including online classrooms, video game testing, healthcare sectors, and automated industry.
Deep learning algorithms for enhancing securities price prediction and insurance strategy optimization
Authors: Mao Yaxin
Published: September 2023

The process of attempting to estimate the future prices of particular stocks by utilizing historical data and various analytical tools, including deep learning algorithms, is called stock price prediction. Insurance providers’ overall approach and decisions to manage their risks, enhance their profitability, and give value to their policyholders are referred to as the insurance strategy. It requires various things to be considered, including underwriting procedures, pricing strategies, product creation, risk analysis, claims administration, and investment choices. This study proposed optimizing an insurance strategy and predicting securities prices using a deep learning algorithm. Initially, the real stock data sources for Microsoft Corporation (MSFT) were gathered from Ping An Insurance Company of China (PAICC) and the Shanghai-based National Association of Securities Dealers Automated Quotation (NASDAQ). Normalization is the procedure used to preprocess data for the raw data. We suggest an Enhanced dragonfly-optimized deep neural network (EDODNN) with stock price forecasting and insurance. The outcomes demonstrate that the proposed model outperforms the current methodology and achieves accuracy, precision, recall, F1 score, R2, and RMSE. To display the effectiveness of the suggested system, its performance is compared to more established methods to obtain the highest level of efficiency for the research.
College degree majors and associated earnings: Are there differences between people with visual impairments and the general population?
Authors: McDonnall Michele C. , Cmar Jennifer L. , McKnight Zhen
Published: September 2023

BACKGROUND: College graduates without visual impairments earn more than college graduates with visual impairments. Differences in degree majors obtained or differences in earnings associated with degree majors for the two groups might explain this discrepancy in earnings. OBJECTIVE: The purpose of this study was to examine (a) differences in degree major categories and (b) relationships between degree majors and earnings for college graduates with and without visual impairments. METHOD: We obtained data for college-educated, working-age adults from the American Community Survey. We utilized descriptive statistics to compare degree major categories by visual impairment and multiple regression to evaluate predictors of annual earnings for college graduates who worked full-time/full-year. RESULTS: Small differences in degree majors obtained were found between college graduates with and without visual impairments. Significant predictors of earnings included 23 out of 25 degree majors and several other demographic and socioeconomic characteristics. Effects of three majors and several other variables differed for people with visual impairments. CONCLUSION: People with visual impairments were slightly more likely to hold degrees with lower-paying majors and less likely to hold degrees with two higher-paying majors. Regardless of degree major, college graduates with visual impairments had substantially lower average earnings than the general population.
Acquired hydrocephalus following hypoxic ischemic encephalopathy without intraventricular hemorrhage: A case report
Authors: Chiyoda H. , Kobayashi S. , Yokoi K. , Iwata O. , Katano H.
Published: September 2023

The most common cause of acquired hydrocephalus in infants is hemorrhage, most often as a consequence of prematurity. Other important causes include neoplasm and infection, usually bacterial meningitis. Hypoxic ischemic encephalopathy (HIE) in term infants usually results in secondary microcephaly. We report an infant with severe HIE at birth treated by therapeutic hypothermia who developed progressive acquired hydrocephalus over 2 months, although no cause of the hydrocephalus was identified. Although hydrocephalus, even intraventricular hemorrhage, is uncommon in term infants with HIE, careful follow-up of the head circumference is important, even if no findings indicating possible causes of hydrocephalus, such as hemorrhage, are detected on ultrasound or magnetic resonance imaging.
Bloodstream infections in neonates with central venous catheters in three tertiary neonatal intensive care units in Pune, India
Authors: Kartikeswar G.A.P. , Parikh T.B. , Randive B. , Kinikar A. , Rajput U.C. , Valvi C. , Vaidya U. , Malwade S. , Agarkhedkar S. , Kadam A. , Smith R.M. , Westercamp M. , Schumacher C. , Mave V. , Robinson M.L. , Gupta A. , Milstone A.M. , Manabe Y.C. , Johnson J.
Published: September 2023

BACKGROUND: Neonates admitted to the neonatal intensive care unit (NICU) are at risk for healthcare-associated infections, including central line-associated bloodstream infections. We aimed to characterize the epidemiology of bloodstream infections among neonates with central venous catheters admitted to three Indian NICUs. METHODS: We conducted a prospective cohort study in three tertiary NICUs, from May 1, 2017 until July 31, 2019. All neonates admitted to the NICU were enrolled and followed until discharge, transfer, or death. Cases were defined as positive blood cultures in neonates with a central venous catheter in place for greater than 2 days or within 2 days of catheter removal. RESULTS: During the study period, 140 bloodstream infections were identified in 131 neonates with a central venous catheter. The bloodstream infection rate was 11.9 per 1000 central line-days. Gram-negative organisms predominated, with 38.6% of cases caused by Klebsiella spp. and 14.9% by Acinetobacter spp. Antimicrobial resistance was prevalent among Gram-negative isolates, with 86.9% resistant to third- or fourth-generation cephalosporins, 63.1% to aminoglycosides, 61.9% to fluoroquinolones, and 42.0% to carbapenems. Mortality and length of stay were greater in neonates with bloodstream infection than in neonates without bloodstream infection (unadjusted analysis, p < 0.001). CONCLUSIONS: We report a high bloodstream infection rate among neonates with central venous catheters admitted to three tertiary care NICUs in India. Action to improve infection prevention and control practices in the NICU is needed to reduce the morbidity and mortality associated with BSI in this high-risk population.
Work-related musculoskeletal disorders and related risk factors among bakers: A systematic review
Authors: Roveshti Mehran Maleki , Pouya Amin Babaei , Pirposhteh Elham Akhlaghi , Khedri Behzad , Khajehnasiri Farahnaz , Poursadeqiyan Mohsen
Published: September 2023

BACKGROUND: Work-related musculoskeletal disorders (WRMSDs) and ergonomic risk factors are very common in bakery workers. OBJECTIVE: The purpose of this study is to (1) assess the prevalence of musculoskeletal disorders among bakers because they use automated machines or traditional baking, and (2) to determine the strategies to prevent musculoskeletal disorders in bakers. METHODS: A systematic review of PubMed, Scopus, and Web of Science was conducted from the beginning to February 4, 2022, based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Mesh keywords and phrases were used to execute the search strategy. Information on MSDs and ergonomic risk factors in bakery workers was collected. Two reviewers worked independently on study selection, data extraction, and paper quality ranking. RESULTS: This study identified 14 papers from seven countries. Although the prevalence of MSDs in bakery workers has been studied, only a handful of them have been studied ergonomic risk factors, and the findings have been very limited. The association between different risk factors and MSDs seemed significant compared to many other occupational diseases. The traditional bread-baking system and lack of mechanization may increase the risk of MSDs in bakery workers. CONCLUSION: WRMSDs for bakery workers have been less studied than other occupational diseases. Our systematic review found several significant relations between the factors influencing the prevalence of MSDs. This study also showed the comparison of traditional and modern cooking systems with diseases of the upper limbs, shoulders, and back pain as possible fields for future research.
Exploring Breast Cancer Texture Analysis through Multilayer Neural Networks
Authors: Nazir Aalia , Ullah Hafiz , Gilanie Ghulam , Ahmad Shabbir , Batool Zahida , Gadhi Asghar
Published: September 2023

Breast cancer is a significant health problem for women globally; however, timely detection can reduce female morbidity and mortality. Early breast screening has become imperative for all women, though, adequate screening facilities are necessarily required in developing countries like Pakistan, where breast cancer is a leading cause of death. To encounter this chronic disease, various image processing techniques have been introduced to automatically diagnose breast cancer from digital mammograms. The current study deployed data from a population of 35 participants. The mammograms used for screening were 5 normal, 15 benign, and 15 malignant patients. The breast images were marked by the radiologist and the system was trained with normal, benign, and malignant classes. Moreover, Multilayer Neural Networks (MNN) based texture analysis methodology was adopted to distinguish normal, benign, and malignant breast images. Reportedly, an automated approach was used to detect breast conditions after conducting the analysis of digital mammograms. Statistical parameters, namely sum, mean, variance, standard deviation, kurtosis, skewness, energy, and entropy were calculated, analyzed, and compared for the normal, malignant, and benign breast images. The results indicated a 100% accuracy after the analysis. The results of the extracted statistical parameters were promising and reliable in distinguishing between normal, malignant, and benign breast mammograms, again indicating the need for early detection of the disease to minimize the risk of breast cancer among women.
Fluidic Simulation and Optimization of Microchannels for Retinal Vein Occlusion (RVO) by Using Fuzzy Technique
Authors: Afzal Muhammad Javaid , Javaid Farah , Ilyas Yasin Muhammad , Tayyaba Shahzadi , Waseem Ashraf Muhammad
Published: September 2023

A microelectromechanical system (MEMS) is a diminutive machine having electronic and mechanical components with a size ranging from 20 µm-1 mm. In this present-day world, MEMS fabrication techniques have remodeled the conventional approaches towards system fabrication. Microfluidics is an eminent domain of MEMS in which small volumes of fluids are disciplined in micro-channels having dimensions in the submillimeter to achieve the desired outputs. Microfluidics have revolutionized the realm of compact system fabrication through preeminent inventions like lab-on-a-chip technology.  Microchannels of various architectures are fabricated to employ microfluidic systems depending upon the required function of the device.  In ophthalmology, Retinal Vein Occlusion (RVO) is an ailment in which small veins that take away blood from the human eye's retina are blocked or fissured, causing vision loss. Therefore, in this study, four micro-channels with different architectures, namely, sinusoidal, U-shaped, spiral, and curvilinear, were simulated by using the fuzzy technique to investigate the optimization of fluids for the implantation process to fix the RVO elixir. The two most critical parameters in retinal vein flow rate and velocity were taken at the output for optimization. Hence, fuzzy fluidic simulation revealed that curvilinear micro-channels were the best fit for biomedical implantation to treat RVO malady.
Epidemiology of Type-II Diabetes and its Risk Factors in Punjab, Pakistan: A Retrospective Study
Authors: Mateen Rana , Tariq Asma , Hussain Mureed , Fareed Muhammad Irfan , Sajjad Waseem , Tipu Imran , Parveen Rukhsana
Published: September 2023

Type-II diabetes is the most common type of diabetes, which has affected more than 465 million people globally and has become the ninth leading cause of mortality. The current study aims to determine risk factors associated with type-II diabetes such as BMI, cholesterol levels, physical activity, and smoking along with co-morbidities associated with this disease. The data was collected from the province of Punjab, Pakistan. For this purpose, a survey was performed for investigating the prevalence of type II diabetes and associated risk factors combined with it. A sample size of 265 patients was collected and interviewed through a questionnaire who were observed having type-II diabetes. A questionnaire was designed to record these patients’ responses. The questionnaire contained sub-categorizes, such as participants characteristics, lifestyle, and comorbidities associated with the disease. The findings indicated that the mean BMI was 25.62 in the studied cohort. However, 78% of the patients had a family history of diabetes. Moreover, 76% of the participants were reported to be non-smokers and 75.67% of the participants reported atypical features associated with this disease. It was also observed that 13 % of the patients with low BMI (less than 18.5) had gastrointestinal diseases and 14.72% of the patients with a BMI greater than 18.5 but less than 25 had hypertension, and 8.30 % of the patients with more than 30 BMI also had hypertension. High BMI was found to be a major risk factor associated with type-II diabetes in this study population. The patients observed with high BMI were also more prone towards comorbidities associated with this disease. However, data suggested that most of the patients had familial type-II diabetes.
Exploiting Deep Visual Geometry Group Architecture for Fall Detection in the Elderly People
Authors: Hina Bashir  , Kanwal Majeed  , Sumaira Zafar  , Ghulam Zohra  , Syed Farooq Ali  , Aadil Zia Khan
Published: September 2023

Over the last couple of decades, human fall detection has gained considerable popularity, especially for the elderly. Elderly people need more attention as compared to others in their homes, hospitals, and care centers. Various solutions have been proposed to deal with this problem, yet, many aspects of this problem are still unresolved. The current study proposed an approach for human fall detection based on the Visual Geometry Architecture of deep learning. The presented approach was weighed up with state-of-the-art approaches including ResNet-50 and even ResNet-101 by using MCF and URFD datasets, outperforming them with an accuracy of 98%. The proposed approach also outperformed these deep architectures in terms of performance efficiency.
Choreographical Culture of Ukraine and Creativity of Radu Poklitaru in Theoretical Discourse
Authors: Sadovenko Svitlana
Published: September 2023

The purpose of the article is to study the Ukrainian choreographic culture in the field of theoretical developments with a focus on the work of Radu Poklitaru and his theatre. The research methodology is based on the application of general scientific methods, namely, systematic analysis, which allowed for an analytical review of the problems of contemporary choreography in Ukraine and the world and to study the contribution of Ukrainian choreographers to the process of formation and development of choreographic culture and art in Ukraine. The outline of time dimensions, substantiation of internal correlations and transformations in the development of contemporary choreography required the use of comparative historical and chronological methods. The method of structural-functional analysis helped to identify specific aspects of the functioning of contemporary dance in the cultural space. Comparative analysis was used to justify changes in the classical art of dance and to prioritise traditions or innovations. The cultural approach was used to analyse the process in question and to determine its role in the overall cultural and artistic process. The scientific novelty of the study lies in the hermeneutic interpretation and generalisation of the significant contribution of Ukrainian artists to the development of choreographic culture and art, in particular, contemporary dance, on the example of Radu Poklitaru’s work and the proof that Ukrainian choreographic culture and art correlate with global processes, being determined by cultural and social factors. Conclusions. On the basis of the scientific and theoretical analysis, it has been determined that Ukrainian choreographic culture is actively studied at the theoretical level by choreographers (O. Gres, Y. Kovalenko, A. Korol, M. Korostyliova, A. Pidlypska, O. Plakhotniuk, M. Pohrebniak, D. Sharykov, E. Yanina-Ledovska) and art historians (O. Afonina, I. Horbunova, I. Drach, O. Zavialova, H. Polianska, Yu. Stanishevskyi, O. Chepalov). The main areas of research of scholars are contemporary dance, postmodern aesthetics, which influences the development of choreographers' thoughts, appeal to the reinterpretation of the classics. This is evidenced by the creative work of Radu Poklitaru, a prominent representative of choreographic culture and art. His ballets are considered in the scientific discourse of modern dance, contemporary choreography in Ukraine and the world in terms of his contribution to this process and the development of choreographic art and culture.

Key words: choreography, dance, ballet, theatre, performing arts, postmodernism, choreographic culture, Radu Poklitaru.
Metaphysics of Epoch Synchronisations and Music
Authors: Markova Olena
Published: September 2023

The purpose of this work is to trace the natural character of those historical metaphysical similarities that are laid down by the repetition of social changes from century to century and evoke the corresponding artistic and stylistic analogies based on the religious and cultural tendencies of nations. The methodological basis is the intonation approach of B. Asafiev’s school in Ukraine, comparative and hermeneutic prolongations of intonation in the works of D. Androsova, T. Verkina, O. Kozarenko, I. Kotliarevskyi, I. Liashenko, Liu Bintsyan, O. Markova, O. Muravska, O. Sokolova, with the use of scientific and research methods: art historical and analytical, descriptive and historical, cultural and regionalist, religious studies. The scientific novelty of the work is determined by the originality of the correlation of the layers of culture and art according to the logic of their epochal style and thought coincidence, including art historical parallels of ideological and state-building institutions, behavioural and ethical norms of the revolutionary strata of China and Italy in the 1840s and 1850s, the prevalence of stringed plucked instruments as a sign of Renaissance thinking in Europe and China, the capture of Rococo influences on the Cossack culture of Ukraine with a focus on woman’s creative participation. Conclusions. The discovery of Renaissance cultural features in the nations of the East obliges us to recognise analogies with Europe, which is recorded in the parallel of the life-behavioural and cultural-artistic actions of the Italian Risorgimento ("Renaissance of Italy" as the realisation of a romantic utopia) and the Chinese Taipingyang (the construction of the "Heavenly City" utopia as the Renaissance of the greatness of ancient China). The article also introduces the assertion of the original Renaissance "two worlds" in the biconfessional Jagiellonian Poland, in which the component of Cossack Ukraine demonstrated a tangent to the majestic achievements of prosaloon aristocratic instrumentalism in the life of kobzars-bandura players and song-madrigal female creative expression.

Key words: metaphysics of history, renaissance, culture, musical culture, epochal style of thinking, musical style.
Music as an Element of Director’s Screen Language. Part 1. Sergio Leone and Ennio Morricone: Creating a Musical Image as Basis for Creative Tandem
Authors: Pogrebnіak Galyna
Published: September 2023

The purpose of the article is to determine the peculiarities of using music in the screen plane through the study of artistic tandems of director-composer. Research methodology. The methods of scientific analysis, comparison, and generalisation were comprehensively applied in the development of the topic. Analytical and systematic methods in their unity were used to consider the art historical aspect of the problem. The scientific novelty of the research is that the director's creativity is studied in the context of composers’ practices of creating music for audio-visual art; the appropriateness of using a systematic method in studying the peculiarities of composers' creativity in the context of audio-visual art and production has been proven. Conclusions. The materials presented in the article expand the arsenal of knowledge regarding the specifics of co-creation of a director and a composer in the screen arts and enable their application in educational courses, creation of educational and methodological literature on the theory and history of music, film and television, directing, and composition.

Key words: musical art, composer, screen art, directing creativity, musical image, creative tandem, musical instruments.
Development of Piano Ensemble Genre in Cultural and Historical Discourse
Authors: Kuryshev Eugen
Published: September 2023

The purpose of the article is to highlight the piano ensemble genre in the cultural and historical discourse in the process of its formation and development. The research is aimed to trace the gradual dynamics of the genre in accordance with the historical process; to identify the main modifications in the ensemble genre and mastering its evolution. The research methodology is the conceptual provisions of the genre theory; the main provisions of system-analytical, art historical and comparative approaches as a methodological basis for the study of ensemble genres. The scientific novelty of the results obtained lies in that for the first time in Ukrainian musicology an attempt has been made to systematise the dynamics of the development of the piano ensemble genre in the context of its substantive and quantitative content in accordance with the instrumental and quantitative composition. The evolution of the piano ensemble genre in the unity of mono-timbral and multi-clavier modifications has been traced. Conclusion. The result of the study is a clearly structured system of ensemble performance, taking into account its socio-cultural significance in accordance with the historical continuum of its existence. It is noted that in the XX century, the piano duet (ensemble for one and two pianos in four hands) became the leading genre of piano ensemble performance. It is these duets (with the denial of a clear leader) that dominate the professional duet scene in the twentieth century. There is a tendency of the authors to equalise the parts in figurative, technical, and thematic terms. The specific features of different types of piano ensembles are noted, and the specificity of their content load is revealed.

Key words: piano ensemble, piano duet, two- and multi-piano ensemble.
F. Chopin's Ballads in Representation of Biedermeier's Ideas
Authors: Zhu Ziyi
Published: September 2023

The purpose of the work is to identify the Biedermeier features of thinking in F. Chopin’s large forms in the embodiment of the ideas of the spiritualised "light" play of the noble salon gatherings in memory of the historical Greater Poland. Such a heroic and melancholic background of Chopin's presentation of his achievements, especially within large forms, inspired the understanding of the thought orientation (according to I. Belza) of his thinking. The research methodology is the intonation vision of the genetic unity of musical and speech principles in the development of the concept of B. Asafiev and B. Yavorsky based on the works of D. Androsova, O. Markova, L. Stepanova, L. Shevchenko, with an emphasis on the hermeneutical perspective of the intonation approach, as well as with the advancement of methods – biographical and descriptive, with emphasis on the intellectual-biographical aspect for the sake of accuracy of interpretive indicators of the analysis of works, analytical and structural as a concentration of musicological specificity of thematic and constructive features of compositions, interspecies stylistic comparative for understanding the interactions of artistic and scientific-religious tendencies in the environment of F Chopin. The scientific novelty of the work is determined by the reliance on Biedermeier's concept of "the big in the small" in the analysis of the large ballad forms, especially with regard to the initial Warsaw and late periods, the time of the composer’s formation and final search. Conclusions. Biedermeier draws out the underestimated tempo-factual essence of Chopin's presentation of those forms that, in high tempo playing, "dematerialised" the theatrical variegation of expression in favour of bringing the Ballades closer to the thoughtful, i.e. lyric-epic forms. The latter appear prolonged in the hallelujah complex of Chopin's ultra-fast playing as a representative of spiritualised salon light pianism, with its distancing from existential drama in favour of the glorious lyricism of the "pearl" fioriture of sound in the spirit of the passage figurativeness of old church singing. The parallel of F. Chopin's thoughtful thinking with his contemporary and passionate confessor of the national idea T. Shevchenko’s poetic and thoughtful content of the genre expression of large-scale compositions is noteworthy.

Key words: ballad, genre in music, biedermeier, "light" style of piano playing, F. Chopin's thoughtfulness.
Actor’s Skill as Means of Developing Child's Personality: Theoretical and Practical Aspects of Teaching
Authors: Abramovich Olena , Delin Khrystyna
Published: September 2023

The purpose of the article is to reveal the peculiarities of teaching acting skills in children's theatre groups and to determine promising directions for improving the methodology at the current stage, to consider the specifics of the system of artistic and aesthetic education and artistic and creative activities of theatre groups for children. The research methodology consists in the application of a typological method aimed to identify and define the features of acting skills in the context of teaching in amateur theatre groups for children; a comparative method to conduct a comparative analysis of approaches to teaching acting skills in theatre groups; evolutionary method for considering the dynamics of the development of the methodology of teaching acting skills in theatre groups for children in the context of the peculiarities of socio-cultural space of the second half of the 20th - the beginning of the 21st century; method of systematic analysis and synthesis, due to which the teaching of acting skills in children's theatre groups was considered as part of modern theatre pedagogy. The novelty of the research is in the conducted comprehensive study of the peculiarities of teaching acting skills in children's theatre groups at the current stage. Conclusions. Theatre art, like other forms of art, is a form of social consciousness. Historically, its development is inseparable from the development of society, from culture in general. Currently, there are a large number of theatre communities in Ukraine. These groups are engaged in the artistic and aesthetic education of the younger generation outside the secondary school, such theatre groups are organised in the Houses of children's and youth creativity, youth theatres, Houses of culture, theatre and folklore groups. In Ukraine, modern theatre pedagogy and creative practice are based on stage theory, methods, and artistic techniques developed by leading foreign and domestic theatre actors of the 20th century.

Key words: acting skills, children's theatre groups, child's creative abilities, teaching methods, actor.
ІНВАРІАНТНІСТЬ ПОЛОЖЕННЯ ТОЧКИ МАКСИМАЛЬНОЇ ШВИДКОСТІ ЗМІНИ ТИСКУ СТИСКАННЯ
Authors: Ерыганов Алексей Валериевич , Варбанец Роман Анатольевич
Published: September 2023

It’s given the analysis of indicator diagram of diesel engine in the point of fastest rate of change of pressure. This part of diagram begins after closing of inlet valves. It’s typically for the most of diesel engines that rate of change of pressure has the maximum before the beginning of combustion. It’s given in article the derivation of very interesting and important property of the point of fastest rate of change of pressure: position of this point depends only from dimensions of crank mechanism and compression ratio. It means that this point could be calculated before taking the indicator diagram of diesel engine.
ЕКСПЕРИМЕНТАЛЬНЕ МОДЕЛЮВАННЯ СУПУТНИКОВОЇ СОНЯЧНОЇ ЕНЕРГОУСТАНОВКИ З ПЕРЕТВОРЮВАЧЕМ НАПРУГИ ПІД ШІМ-КЕРУВАННЯМ
Authors: Jasim Ali Mahmood , Shepetov Yuri Alekseevich
Published: September 2023

The object of this work is the experimental confirmation of the properties of the satellite solar plant based of photovoltaic (PV) converters with a DC-DC Converter controlled by pulse-width modulation (PWM) device for constant tracking of maximum power point (MPP) of the power plant. The results of the experiment confirmed simulation results, derived previously through using the mathematical model in Matlab/Simulink. In the work is proposed new more effective algorithm for solar PV MPP tracking based on combination of few known methods. First working point is chosen by the open-circuit voltage coefficient, next points are searched by the hill-climbing method.
ДО ПИТАННЯ ОПТИМІЗАЦІЇ ПРОЕКТНИХ ПАРАМЕТРІВ І ПРОГРАМ УПРАВЛІННЯ РАКЕТНОГО ОБ'ЄКТА З РАКЕТНИМ ДВИГУНОМ НА ТВЕРДОМУ ПАЛИВІ
Authors: Сюткина-Доронина Светлана Васильевна
Published: September 2023

The complex problem of the simultaneous optimization of the control programs and design parameters of the controlled single-stage rocket with cruise solid propellant rocket engine is formulated. The problem is formulated as an problem of optimal control theory with limitations in the form of equalities and differential constraints. The structure of the optimized parameters of the solid propellant rocket engine includes design parameters of the controlled solid propellant rocket and parameters characterizing the programs of the motion control of the controlled solid propellant rocket and parameters characterizing the motion at the active section of the trajectory. The elements of the mathematical model of the controlled solid propellant rocket are presented what can be used to enable the problem of optimal control theory to be reduced to the nonlinear mathematical programming problem with limitations in the form of equalities and differential constraints. The modified by the author method of gradient optimization is offered for solving the above problem what can be used to determine the optimal motion control programs in the given class of functions and rational values of optimized parameters of the controlled solid propellant rocket at the initial phase of rocket design.
ПОРІВНЯЛЬНИЙ АНАЛІЗ КОНСТРУКТИВНО-ТЕХНОЛОГІЧНИХ РІШЕНЬ З’ЄДНАНЬ МЕТАЛ-КОМПОЗИТ
Authors: Тараненко Игорь Михайлович
Published: September 2023

Comparison of manufacturability for production articles made of stainless steel, titanium alloys, aluminum alloys in different joints of metal and composites is conducted. For manufacturing of micropins it is considered to apply such methods as mechanical and electromechanical milling, welding of pins to an article and tight fit insertion of pins to previously drilled holes. The manufacturability of metal joining “push-pin” and micro-pin elementsare estimated numerically. Recommendations for selection the most rational technologies for manufacturing metal articles for metal-composite joints are developed.