bluuebunny/crossref_metadata_2025 huggingface dataset:
ОСОБЛИВОСТІ ЦІННІСНО-СМИСЛОВОЇ СФЕРИ ЮНАКІВ, ЯКІ ВІДДАЮТЬ ПЕРЕВАГУ КЛУБНОМУ ДОЗВІЛЛЮ
Authors: ВДОВІЧЕНКО Оксана , БЛАГА Ольга , БОРОЗЕНЦЕВА Тетяна
Published: June 2023

У статті представлено результати теоретичного аналізу та емпіричного дослідження проблеми ціннісно-смислової сфери здобувачів вищої освіти, які проводять вільний час у клубах. Аналіз психологічної літератури з проблеми формування ціннісно-смислової системи сучасної молоді показав, що українська молодь схильна до аномічної деморалізованості, авторитаризму та соціального цинізму. В результаті чого у молоді не формується стійка система соціально орієнтованих цінностей і сенсів, яка відповідає перспективі розвитку демократичного суспільства.

На розвиток цінностей і сенсів в юнацькому більшою мірою впливає соціокультурне середовище, зокрема, молодіжна субкультура, що включає переваги, сленг, моду тощо. Від особливостей субкультури, в яку входить молода людина, багато в чому залежать життєві сенси, ціннісні орієнтації та конкретні життєві цілі.

Дослідження переважаючих життєвих цінностей і орієнтації на певні сфери, які є характерними для молоді, що веде клубне дозвілля, показало, що для них найбільш важливим є прагнення до високого рівня матеріального добробуту, переконаність в тому, що матеріальний достаток є головною умовою життєвого благополуччя. Високий рівень матеріального добробуту для таких людей є підставою для розвитку відчуття власної значущості та підвищеної самооцінки. Також для них важливі фізична привабливість і здоров'я, підвищення рівня освіти, розширення кругозору. Серед основних життєвих орієнтацій, що є на даний момент смисловими, у молоді цієї категорії превалює  спрямованість на майбутнє, наявність конкретних цілей. Крім того, для них важливим є процес досягнення цих цілей. Хоча, вони схильні містифікувати події власної біографії, схильні до фаталізму і їх цілі та плани не мають реальної опори в сьогоденні і не підкріплюються особистою відповідальністю за їх реалізацію.
ОСОБЛИВОСТІ ПЕРШОЇ ПСИХОЛОГІЧНОЇ ДОПОМОГИ ПІД ЧАС ВІЙНИ: АНАЛІЗ ТЕОРЕТИЧНИХ ПІДХОДІВ
Authors: ПОДКОРИТОВА Лариса , ЛЕНЯ Катерина
Published: June 2023

У статті подано результати теоретичного аналізу наявних визначень і моделей надання першої психологічної допомоги (ППД). Виявлено спільні риси у визначеннях ППД, визначена її мета та особливості надання у різні часові проміжки після травматичної події. Наведено і порівняно такі моделі ППД як RAPID PFA (Дж. С. Еверлі та Дж. М. Летінг) і МААСЕ (М. Фархі). Подано рекомендації ізраїльських фахівців щодо особливостей надання ППД у гострий період. Визначено основні аспекти надання ППД.
THE ROLE OF ANDROGEN RECEPTOR IN BREAST CANCER. REVIEWWORK
Authors: Kochetkova Y.I. , Frolova M.A. , Stenina M.B.
Published: June 2023

Key words: breast cancer, androgen receptors, endocrine therapy
Relevance and justification of sublobar resection in early peripheral non-small cell lung cancer in the era of dominance of lobectomy
Authors: Baksiyan G.A. , Zavialov A.A.
Published: June 2023

Surgical treatment of lung cancer dates back to 1933, when the first pneumonectomy was performed to treat this disease. In 1952 pneumonectomy was replaced by lobectomy, which is currently the recognized global standard for operable NSCLC. Modern medical science has accumulated a huge body of clinical data, which allowed us to start a new milestone in the evolution of the surgical treatment of lung tumors, namely, a decrease in the volume of the resection stage of the operation in some early forms of peripheral lung cancer. The article analyzes the results of a number of large-scale works presented in the world literature on this topic.
Implementation of Augmented Reality for Isometric works at Animation Art Exhibition (Animaxtion)
Authors: Pratama Tito Ari , Rosita Ely
Published: June 2023

In exhibitions, animated artwork also develops following technological advances and the needs of exhibition visitors. One of the concepts of the exhibition is to exhibit isometric drawings as shown in the exhibition, then visualize them in 3D animation using the Augmented Reality method. Augmented Reality is a technology that runs and combines digital content created by computers in real-time. In the results of the research that has been carried out, if the results of the implementation of Augmented Reality (AR) using Unity software have been successfully implemented on Android-based Smartphones and Tablets by practicing Isometric objects that are displayed when smartphones with the Android operating system or Tablet trigger prints of student work which contain printed images of work in Animaxtion.

Keywords: augmented reality; unity; animaxtion; isometric.
Redesign The Traditional Folklore: Achieving A Sustainable Folklore For The Future Generation
Authors: Cintya Hedi Amelia Bella
Published: June 2023

Traditional folklore has experienced a decline in interest from generation to generation, leaving a significant question as to why younger generations are losing their interest in traditional tales. Despite the positive effects of traditional folklore on readers, this phenomenon calls for investigation. This study employs a descriptive-comparative preliminary investigation to address the decrease in interest in traditional folklore. Firstly, the present study aims to investigate the underlying reasons for the observed decline in the popularity of traditional folklore. Secondly, the study endeavors to comprehend the efforts undertaken by researchers and artists to counteract this waning interest. The previously identified determining factors will serve as guiding criteria to address the second research question. The ultimate outcome of this study will provide a comprehensive summary of the factors associated with the diminished appeal of traditional folklore among the younger generation, as well as the diverse attempts made by artists and researchers to rejuvenate this cultural heritage.

 Keywords: traditional; folklore; storytelling; descriptive study
Reconstruction of Creative Products Based Using a Design Thinking Approach The “Spirit of Majapahit” Case Study
Authors: Sutanto Shienny Megawati , Wardaya Marina , Budi Hutomo Setia
Published: June 2023

Indonesia is a country rich in culture and heritage. This richness of culture can be seen from artifacts and historical sites found throughout Indonesia. However, Indonesia's younger generations are less familiar with their own culture. This is caused by various things, one of which is the rarity of historical heritage products reconstructed to be introduced to Indonesia's younger generation. This research was conducted to analyze the process of reconstructing Indonesian historical heritage, the Spirit of Majapahit using a Design Thinking approach. The research and analysis of the process of re-creating the Spirit of Majapahit can form the basis of a design mindset that can be used as a guide in recreating local Indonesian historical products. This research uses a qualitative data collection method which is carried out by structured interviews with personnel who are actively involved in the process of reinventing the Spirit of Majapahit and experts on Indonesian culture. In addition to qualitative methods, literature studies are conducted to find data regarding the process of creating creative products, previous research on the adaptation of Indonesian local historical products, and audience responses to the reconstruction of past cultural products. The results of the study are used as the basis for creating a product design mindset module based on Indonesian local history which is linked to a systematic and replicable Design Thinking approach.

Keywords: design thinking; spirit of majapahit; history; cultural revitalization.
Analyzing the Adaptation of Ramayana Wayang Characters in Code Atma Video Game
Authors: Brahmana Ariel Marsha Luana , Grahita Banung
Published: June 2023

Promotion of Wayang is important for future generations to continue cherish the value, meaning and pure passion just like how it is intended to be. As a traditional culture surviving the modern era, a modern adaptation is one of the many ways to promote towards the younger generations alongside other modern pastimes. The game “Code Atma” developed by Agate in 2020 has attracted the younger generation due to its appealing character design, that is a modern rendition to what is familiar, traditional culture. To ensure focus of the research, the chosen Code Atma characters would be the ones from Ramayana story: Shinta, Rama, Rahwana, and Hanuman. This qualitative research uses the comparative analysis to group and breakdown further the elements of a character, namely visual aspect, personality, and skills of each Code Atma characters to the original Ramayana Wayang Kulit characters. The essential elements of each character are presented by analyzing the similarities using the Jungian Archetypes by Carl Jung. There are limits in redesigning a Wayang character for a modern adaptation, because posture, proportion, and clothing are core elements that must remain to keep the character’s identity recognizable.

Keywords: adaptation; archetype; character; game
The Impact of Social Media and Its Influence in the World of Education
Authors: Tuhuteru Laros , Sitinjak Imman Yusuf , Tukiyo Tukiyo , Nainggolan Rosita , Gavin Hermans
Published: June 2023

Advances in information technology in the current era of globalization is very rapid. The progress of information technology is marked by the ease in finding and receiving information, especially in the world of education. So that technology can be used as a tool for students in the world of education by utilizing the internet. The internet is a medium that provides many facilities, one of which is social media. Social media is a means of information and communication that has many impacts and influences in the world of education, both positive and negative impacts. In line with that this research aims to find out the impact of social media and its influence in the world of education. The method used by researchers in this study is a quantitative method using a survey model using Google forms and in-depth interviews with several students. This research was conducted at Madrasah Aliyah level students in Cirebon. The results of this study indicate that social media can have positive and negative influences and impacts in the world of education. One of the negative impacts felt by students from the use of social media in the world of education is the easy distraction of students’ concentration during the learning process.
The Contribution of the School Committee in Improving the Quality of Islamic Religious Education
Authors: Jamilus Jamilus
Published: June 2023

This study aims to describe the contribution of the School Committee in improving the quality of Islamic religious education at MTsN Solok City. The School Committee, which should carry out its duties and functions properly is still faced with many problems so that the quality of education in general and the quality of Islamic Religious Education (PAI), especially in the madrasa, has not shown the expected results. This research is field research (field research). The approach used is a qualitative approach. Sources of data for this research include School Committees, Principals, Deputy Principals of Madrasahs, and teachers of religious subjects. Collecting data using observation techniques, questionnaires, and documentation studies. Analysis data using the inductive method. The research credibility test uses observation persistence, source triangulation, and interview triangulation results with observations. The results of this study indicate that the contribution as a supporting body such as holding regular meetings with parents/guardians of students, providing support for infrastructure, and also funds to support PAI activities. Contributions as a controlling body such as supervising the planning and implementation of PAI activities, being involved in the ratification of the PAI program, supervising the progress of students' attitudes and skills after participating in PAI activities, monitoring students who excel in PAI activities, controlling the income and expenses of PAI activities. Contributions as a liaison body such as fostering collaboration with stakeholders, disseminating PAI policies and programs, and facilitating various program policy inputs.
Internet of Things- Based Automatic Feeder and Monitoring of Water Temperature, PH, and Salinity for Litopenaeus Vannamei Shrimp
Authors: Toruan Falentina Lumban , Galina Mia
Published: June 2023

Aquaculture of Litopenaeus Vannamei shrimp is one of Indonesia's most crucial commodity export shrimp. Aquaculture feed management and environmental management are essential factors in determining shrimp sustainability. To maximize shrimp farming results, proper feeding, water quality control, and con-tinuous monitoring of three critical parameters: temperature, power of hydrogen (pH), and salinity levels in ponds are required. This study aims to feed the shrimp automatically at predetermined times (07.00, 11.00, 16.00 and 20.00). At the same time, it will monitor pond water quality parameters. Temperature, pH and salinity are all factors monitored. Every 10 minutes, monitored data is stored in ThingSpeak using IoT technology. The design goal has a specific threshold to avoid future problems. A Telegram notification is sent every 10 seconds when the water condition exceeds the threshold. The overall accuracy rate of 98.81%, pH of 96.6%, and salinity of 99.17% demonstrate that the system works correctly.
Open Artificial Intelligence Analysis using ChatGPT Integrated with Telegram Bot
Authors: Avisyah Gisnaya Faridatul , Putra Ivandi Julatha , Hidayat Sidiq Syamsul
Published: June 2023

Chatbot technology uses natural language processing with artificial intelligence that can interact quickly in answering a question and producing relevant answer. ChatGPT is the latest chatbot platform developed by Open AI which allows users to interact with text-based engines. This platform uses the GPT-3 (Generative Pre-trained Transformer) algorithm to help understand the response humans want and generate relevant responses. Using the platform, users can find answers to their questions quickly and relevantly. The method used for OpenAI's research on ChatGPT integrated through Telegram chatbot is using a waterfall method which utilizes open API tokens from Telegram. In this research we develop OpenAI application connected with telegram bot. This application can help provide a wide range of information, especially information related to the Semarang State Polytechnic. By using Telegram chatbot in the program, users can find it easy to ask because it is integrated with OpenAI using the API. Telegram chatbot, which has a chat feature, allows easy communication between users and chatbots. Thus, it may reduce system errors on the bot.
The Utilization of Deep Learning in Forecasting The Inflation Rate of Education Costs in Malang
Authors: Afrah Ashri Shabrina , Lestandy Merinda , Suwondo Juwita P. R.
Published: June 2023

The public needs information about the predicted inflation rate for education costs to manage family finances and prepare education funds. This information is also beneficial for the government to create policies in education. Malang is one of the educational cities in Indonesia, but research on the prediction of the inflation rate of education costs in the city still needs to be made available. Besides, the researchers have yet to find previous studies on forecasting that used the specific inflation rate for education costs in Indonesia by applying the Deep Learning method, especially those using the Consumer Price Index (CPI) data for the Education Expenditure Group. This research aims to develop a model to forecast the inflation of education costs in Malang using the Deep Learning Method. This research was conducted using Consumer Price Index (CPI) data for the Education Expenditure Group in Malang during 1996-2021s taken from the Central Bureau of Statistics (BPS) Malang. The forecasting method used is the Long and Short-Term Memory (LSTM) method, which is a development of the Recurrent Neural Network (RNN). The results showed that it achieved the best accuracy by a model with one hidden layer and four hidden nodes, namely MAPE=2.8765% and RMSE=8.37.
Coping Strategies and Their Influencing Factors Among Nursing Student in Online Learning
Authors: Al Fajar Muhamad Gustaf , Fitria Nita , Senjaya Sukma , Karisa Putri
Published: June 2023

Background: the challenge of success for nursing students is getting tougher with the implementation of online learning during the COVID-19 pandemic because it requires adjustments to learning methods that can cause stressors for students.Objective: this study aims to identify a description of the coping strategies used by students of the Faculty of Nursing, Universitas Padjadjaran in carrying out online lectures and the factors that influence them.Methods: this research was a cross sectional design. The population in this study was students of the Faculty of Nursing, Universitas Padjadjaran with a total sample of 271 students who were selected based on the proportional stratified random sampling technique. The instrument used is The Brief COPE questionnaire with 28 statement items,and questionnaire on factors that affect coping strategies with 40 statement items, then analyzed descriptively.Results: the results of the study showed that almost all respondents, namely 208 students (76.75%) had problem focused coping coping strategies. Problem solving skills are the highest factor in the use of coping strategies with a mean value of 0.8413 and physical health being the lowest factor with a mean value of 0.3210.Conclusion: further research is needed with the correlation method to be able to see the factors that influence the use of coping strategies.
The Correlation between Alexithymia with Gender among Nursing Students
Authors: Yosep Iyus , Wardani Rachmawati Kusuma , Yamin Ahmad , Sismayadi Zahrul Insan , Mardhiyah Ai , Hikmat Rohman
Published: June 2023

Background: alexithymia is a psychological condition characterized by the inability to recognize and express emotions verbally or non-verbally. People who experience alexithymia often have difficulty identifying and expressing their emotions appropriately and clearly.Purpose: the purpose of this study was to determine relationship of alexithymia with gender among nursing students in Universitas Padjadjaran.Methods: the population of this study was active students in the Bachelor's program of the Faculty of Nursing, Universitas Padjadjaran, Jatinangor/Garut and Pangandaran campus, who experienced social media addiction and are in the class of 2017, 2018, 2019, and 2020. The instrument used was the Toronto Alexithymia Scale-20 (TAS-20). Total sample was 590 students. This instrument was an instrument containing 20 statement items used to assess the level of alexithymia.Results: based on the results of the analysis of the data obtained, there is a relationship between the alexithymia level variable and gender with a sig value relationship. with a positive correlation coefficient value of 0.285, which means that the strength of the relationship between the two variables is sufficient.Conclusion: there is an adequate and positive relationship between gender and the level of alexithymia among nursing students in Universitas Padjadjaran.
Effectiveness of Different Physical Activities toward Glycemic Control in Prediabetes Mellitus Clients
Authors: Arwani Arwani , Widiyanto Budi , Widiyati Sri
Published: June 2023

Background: the proportion of people with prediabetes is 2-4 times higher than the proportion of people with diabetes. One of the prevention efforts is through physical activity. Several studies have shown that physical activity has a significant effect on glycemic control.Purpose: this study aims to determine the effectiveness of different physical activities to glycemic control in prediabetic clients in Semarang municipality.Methods: a randomized control trial (RCT) with a pretest-posttest design was conducted on 60 prediabetic clients using different treatments (healthy / slow walking, brisk walking, combination of both slowly and brisk walking). An initial measurement (pretest) of glycemic control was carried out using an indicator of HbA1c levels and was remeasured (posttest) after 3 months.Results: the average level of glycemic control (HbA1c levels) before intervention in the healthy walking group was 5.57% and decreased to 5.46% after intervention; the combination group decreased from 5.93% to 5.78%, and in the slowly walking group decreased from 5.74% to 5.71%. However, there was no significant effect of slowly walking on glycemic control (HbA1c levels). Meanwhile, brisk walking and combination of slowly walking and brisk walking had a significant effect on glycemic control (HbA1c levels) (p0.05).Conclusion: the combination of physical activity group (brisk walking and slowly walking) has a better effect on glycemic control (HbA1c levels).
Antidiabetic potential of Carica papaya L. and its constituents: From folkloric uses to products development
Authors: Ogunlakin Akingbolabo Daniel , Onifade Taiwo Rukayat , Ojo Oluwafemi Adeleke , Adesanya Enitan O. , Berena Godwin A. , Ayeni Peluola Olujide , Omolekan Tolulope Omotope , Ogunlakin Matthew Akin , Iyinkristi Damilare Ayokunle , Sonibare Mubo Adeola , Fategbe Mojisola A.
Published: June 2023

Carica papaya L. is a plant that has a reputation for being antidiabetic. This review is focused on antidiabetic properties of Carica papaya. A comprehensive search was performed using various electronic databases including Researchgate, PubMed, Google Scholar, Biomedgrid.com and ScienceDirect. 224 publications were downloaded, out of which one 107 relevant publications were reviewed. The fruit, leaves, and seeds of this plant have been reported to possess antidiabetic properties at different dosages via in vivo, in vitro, and ex vivo studies. Fortified papaya cake, MPPB flour (containing C. papaya), and brotowali extract (fortified papaya leaves and sugarcane extracts) displayed significant hypoglycaemic effect. From a clinical trial, the fruit consumed after meals significantly reduced blood glucose level in a quasi-experimental study. Some bioactive compounds found in the plant's extracts have been linked to the antidiabetic effect of the plant. It has been discovered that the leaf extract contains hypoglycemic saponins, alkaloids, flavonoids, triterpenoids, and tannins. Few compounds with antidiabetic characteristics have been identified from the extracts of this plant's seeds, including hexadecanoic acid, methyl ester, 11-octadecenoic acid, N, N-dimethyl-, n-hexadecanoic acid, and oleic acid. Therefore, pawpaw fruit consumption might help to mitigate the symptoms of diabetes. For the development of new natural remedies for management and prevention of diabetes, additional studies, particularly those on the isolation of antidiabetic principles from various portions of C. papaya, will be crucial.Keywords:Carica papaya; Antidiabetics; Phytoconstituents; Clinical trials; Papaya products
Enhancing link prediction efficiency with shortest path and structural attributes
Authors: Wasim Muhammad , Al-Obeidat Feras , Amin Adnan , Gul Haji , Moreira Fernando
Published: June 2023

Link prediction is one of the most essential and crucial tasks in complex network research since it seeks to forecast missing links in a network based on current ones. This problem has applications in a variety of scientific disciplines, including social network research, recommendation systems, and biological networks. In previous work, link prediction has been solved through different methods such as path, social theory, topology, and similarity-based. The main issue is that path-based methods ignore topological features, while structure-based methods also fail to combine the path and structured-based features. As a result, a new technique based on the shortest path and topological features’ has been developed. The method uses both local and global similarity indices to measure the similarity. Extensive experiments on real-world datasets from a variety of domains are utilized to empirically test and compare the proposed framework to many state-of-the-art prediction techniques. Over 100 iterations, the collected data showed that the proposed method improved on the other methods in terms of accuracy. SI and AA, among the existing state-of-the-art algorithms, fared best with an AUC value of 82%, while the proposed method has an AUC value of 84%.
Cholesterol’s Function and Origin in the Alzheimer’s Disease Brain
Authors: Hansen Scott B.
Published: June 2023

Alzheimer’s disease (AD) is a neurodegenerative disorder associated with neuroinflammation and altered lipids in the brain. Cholesterol is a key component of inflammatory lipids. However, the role of cholesterol in AD, specifically in sporadic or late-onset AD, has remained poorly understood due to the belief that most brain cholesterol is separate from circulating blood cholesterol. A new theory suggests that the permeation of circulating cholesterol into the brain is a causal event critical for the onset of AD. As research in this area continues, new hypotheses and insights into AD are expected to emerge.
Mobile communication channel resource allocation technology in interference environment based on clustering algorithm
Authors: Chen Yuan , Cao Wenqi , Xu Wenjie , Li Juan
Published: June 2023

The rapid development of urbanization has led to the gradual increase of urban residential density. Relatively speaking, the spectrum resources are increasingly scarce, which leads to the increasingly serious interference between communities, and the system performance is also greatly limited. Therefore, in order to improve the efficiency of spectrum resources and solve the problem of user interference between cells, the experiment combines the advantages of clustering by fast search and find of Density Peaks Clustering (DPC), and proposes a two-step clustering algorithm. This method is proposed based on the core idea of DPC after in-depth study of the downlink multi-cell orthogonal frequency division multiplexing system architecture. The proposed model is compared with Matching Pursuit (MP) algorithm and Graph-based algorithm with the sum of clustering distance Rs, 1.5⁢Rs. The results show that the two-step clustering algorithm can significantly improve the spectrum efficiency and network capacity while ensuring good quality of service under the condition of channel tension or not. In addition, the minimum SINR value of the two-step clustering algorithm can reach 75 dB. Compared with the 220 dB of the Graph-based algorithm with the clustering distance Rs, it has extremely obvious advantages. Therefore, the two-step clustering algorithm constructed in this study can effectively reduce system interference, and has certain research and application value in solving the problem of mobile communication channel resource shortage.
Data mining algorithm of experiential sports marketing based on cloud computing technology
Authors: Chen Mengzhong , Tian Guixian , Tao Yongchao
Published: June 2023

The internal connection and rule diversification of experience marketing data make it difficult to predict the future trend of data. Therefore, it is necessary to mine sports marketing data to guide future marketing strategies. In order to improve the effect of sports marketing data mining, this paper puts forward the algorithm research of experience sports marketing data mining in the cloud computing environment. In the cloud computing environment, based on the idea of data mining, a sports marketing monitoring system is designed and implemented to obtain a large number of evaluation data. The related data is extracted from the database of sports marketing evaluation system, and the data warehouse is constructed by data preprocessing. Using association rule algorithm to realize the data mining module of sports marketing evaluation system, mining the data in the data warehouse, dividing the data set into various data blocks, and then scanning each data block for association rule mining. The experimental results show that the mining algorithm can effectively mine different factors that affect the marketing status. The customer satisfaction obtained after the practical application of this method reaches more than 90%. Sports marketing enterprises can establish benign interaction between users and enterprises according to the mining results of this method, further meet the personalized and differentiated needs of consumers, thereby expanding the influence of enterprises and promoting the realization of marketing.
Development of novel Cuckoo search optimization-based controller for partially shaded Photovoltaic system
Authors: Karunanidhi Bavithra , Ramasamy Latha , Sathiasamuel Charles Raja , Manivannan Sudha Vasanth
Published: June 2023

Among the list of reliability issues in Photovoltaic (PV) systems, partial shading is one of the crucial issues that affect the row current creating a wide range of current differences between rows these results in reduced output power and panel life span by creating hotspots. It also creates difficulty in tracking the power, because of multiple hotspot peaks obtainable in PV and IV (Current-Voltage) curves. Physical relocation of panels during shade occurrence is not an encouraging solution because of rooftop solar and domestic PV systems, where the area for PV installation is a ceiling. The optimization-based controller is retrofitted for the electrical relocation of panels. It is developed based on the Cuckoo Search Algorithm (CSA), which aims to reduce the row current difference with a minimum reposition of panels as constraints. For the 9*9 PV arrangement, the row current ranges from 3.747 A to 8.424 A. It is reduced and almost made zero. Hence, the Fill factor raises from 38.073 to 51.707%. The power output is enhanced by about 20%. To prove the algorithm’s novelty a shading case for 4*3 asymmetric array arrangement is also considered for simulation studies. The proposed system proves to be economically beneficent for PV users. The performance of CSA is compared with PSO, Skyscraper, and SuDoKu. An economic analysis is carried out that adds the PV efficiency value to the proposed CSA algorithm. The real-time experimental validation holds good for 3*3 solar array agreement with theoretically simulated results.
Global path planning for airport energy station inspection robots based on improved grey wolf optimization algorithm
Authors: Yu Junqi , Su Yucong , Feng Chunyong , Cheng Renyin , Hou Shuai
Published: June 2023

Global path planning is one of the key technologies for airport energy station inspection robots to achieve autonomous navigation. Due to the complexity of airport energy station buildings with numerous mechanical and electrical equipment and narrow areas, planning an optimal global path remains a challenge. This paper aimed to study global path planning for airport energy station inspection robots using an improved version of the Grey Wolf Optimizer (IGWO) algorithm. Firstly, the initialization process of the Grey Wolf Optimizer algorithm selects several grey wolf individuals closer to the optimal solution as the initial population through the lens imaging reverse learning strategy. The algorithm introduces nonlinear convergence factors in the control parameters, and adds an adaptive adjustment strategy and an elite individual reselection strategy to the location update to improve the search capability and to avoid falling into local optima. Benchmark function and global path planning simulation experiments were carried out in MATLAB to test the proposed algorithm’s effectiveness. The results showed that compared to other swarm intelligent optimization algorithms, the proposed algorithm outperforms them in terms of higher convergence speed and optimization accuracy. Friedman’s test ranked this algorithm first overall. The algorithm outperforms others in terms of average path length, standard deviation of path length, and running time.
Selection of peanut butter machine by the integrated PSI-SV-MARCOS method
Authors: Toslak Melike , Ulutaş Alptekin , Ürea Salim , Stević Željko
Published: June 2023

Production enterprises are enterprises that produce goods or services that aim to meet human needs such as machinery-equipment materials and labour. In order for a manufacturing enterprise to carry out its activities successfully, it must make the right choice when choosing its inputs. The correct execution of production activities and the selection of machinery, which requires high capital investments, also affect the efficiency of the enterprises, the correct use of materials and their costs. Therefore, it is an important decision for business managers to choose the right machine. At this stage, multi-criteria decision making (MCDM) methods are used for choosing the right machine. MCDM methods are methods used in the evaluation of alternatives using more than one criterion. In addition, the MCDM method is used in machine selection as well as in many areas. In this study, PSI, SV and MARCOS methods, which are among the MCDM methods, were used for peanut butter machine selection. First, the criteria and alternatives to be used for the peanut butter machine selection were determined by interviewing a peanut butter factory manager. In the study, while the criteria weights were determined, PSI and SV methods were used, while the machines were ranked with the MARCOS method. In addition, the MARCOS method was compared with other MCDM methods such as PIV, CODAS and WEDBA methods. After the rankings were found according to the methods, the relations between the rankings were examined using the Spearman Correlation method. The main purpose of the study is to determine the suitable butter machine for a peanut paste production factory. Contribution of this study to the literature PSI, SV and MARCOS methods were used together for the first time. In addition, no study has been found in the literature related to peanut butter machine. Therefore, this study is original and contributes to the literature.
Social Media Analysis Tools for Public Health: A Cross-Sectional Survey
Authors: White Becky K. , Wilhelm Elisabeth , Ishizumi Atsuyoshi , Nguyen Tim , Briand Sylvie , Machiri Sandra , Purnat Tina D.
Published: June 2023

During the COVID-19 pandemic the field of infodemic management has grown significantly. Social listening is the first step in managing the infodemic but little is known of the experience of public health professionals using social media analysis tools for health. Our survey sought the views of infodemic managers. Participants (n=417) had an average of 4.4 years’ experience in social media analysis for health. Results reveal gaps in technical capabilities of tools, data sources, and languages covered. For future planning for infodemic preparednessand preventi on it is vital to understand and deliver for analysis needs of those working in the field.
Training Healthcare Professionals to Mitigate the Climate Challenge – Development of a Lean Six Sigma E-Learning
Authors: Sijm-Eeken Marieke , Jaspers Monique , Peute Linda
Published: June 2023

This paper presents the preliminary findings of developing and evaluating a Lean Six Sigma (LSS) e-learning aimed at empowering healthcare professionals in different roles to make healthcare more sustainable. The e-learning was developed with experienced trainers and LSS experts by combining traditional LSS and environmental practices. Participants found the training engaging and confirmed they felt motivated and prepared to start applying the acquired skills and knowledge. We are now following the 39 participants to further investigate the effectiveness of LSS for mitigating the climate challenge in healthcare.
Do Health Apps Stigmatize People with Obesity?
Authors: Mielitz Annabelle , Pustozerov Evgenii , Von Jan Ute , Albrecht Urs-Vito
Published: June 2023

Apps in the “Medicine” category of Apple’s App Store were examined concerning the potential stigmatization of people with obesity through word and image language. Only 5/71 potentially stigmatizing apps related to obesity were identified. Stigmatization in this context can occur, for example, through the excessive promotion of very slim people in connection with weight loss-related apps.
Microbiological and Virological Knowledge-Based Alert Service
Authors: Kainz Jakob , Gawrylkowicz Jakub , Strassl Robert , Willinger Birgit , Thalhammer Florian , Rappelsberger Andrea , Adlassnig Klaus-Peter
Published: June 2023

Hospital wards need immediate information about multi-resistant pathogens and contagious viruses in their hospitalized patients. An alert service configurable with Arden-Syntax-based alert definitions passing through an ontology service to complement results from microbiology and virology with high-level terms was implemented as proof of concept. Integration into the University Hospital Vienna’s IT landscape is ongoing.
Analyzing Twitter-Based Social Networks of Support Communities for Hispanic and African American Family Caregivers of Persons with Dementia
Authors: Broadwell Peter , Huang Niya , Moon Soyoung , Tipiani Dante , De Planell-Saguer Maria , Bristol Amanda , Liu Jianfang , Davis Nicole , Yoon Sunmoo
Published: June 2023

We applied social network analysis to compare Hispanic and Black dementia caregiving networks on Twitter that were established as part of a clinical trial from January 12, 2022, to October 31, 2022. We extracted Twitter data from our caregiver support communities (N=1980 followers, 811 enrollees) via the Twitter API and used social network analysis software to compare friend/follower interactions within each Hispanic and Black caregiving network. Analysis of the social networks revealed that enrolled family caregivers without prior social media competency had overall low connectedness compared to both enrolled and non-enrolled caregivers with social media competency, who were more integrated into the communities that developed through the clinical trial, partly due to their ties to external dementia caregiving groups. These observed dynamics will help to guide further social media-based interventions and also support the observation that our recruitment strategies effectively enrolled family caregivers with various levels of social media competency.
Evaluation of Completeness, Comparability, Validity, and Timeliness in Cancer Registries: A Scoping Review
Authors: Shokrizadeharani Leila , Batooli Zahra , Heydarian Saeedeh , Sharif Reihane , Ghaderkhany Shady , Tamehbidgoli Maryam , Ataiejahanbegloo Fatemehzahra , Hieber Daniel , Kuhn Peter
Published: June 2023

An essential aspect of cancer registration is data quality. Data quality for Cancer Registries has been reviewed in this paper using four main criteria (comparability, validity, timeliness, and completeness). Medline (via PubMed), Scopus, and Web of Science databases were searched for relevant English articles published from inception until December 2022. Each study was analyzed for its characteristics, measurement method, and data quality features. According to the present study, the majority of articles evaluated the completeness feature, and the fewest evaluated the timeliness feature. A completeness rate of 36% to 99.3% and a timeliness rate of 9% to 98.5% were observed. Standardizing metrics and reporting of data quality is necessary to maintain confidence in the usefulness of cancer registries.
Predicting Prediabetes Using Simple a Multi-Layer Perceptron Neural Network Model
Authors: Vîrgolici Oana , Vîrgolici Horia
Published: June 2023

In over 60% of patients with prediabetes, the evolution to diabetes can be stopped by changing lifestyle. Application of prediabetes criteria existing in accredited guidelines is very useful, representing an effective way to avoid prediabetes and diabetes. Although these guidelines imposed by the international diabetes federation are constantly updated, many doctors do not apply, mainly due to lack of time, the recommended steps for diagnosis and treatment. In this paper, a multi-layer perpeptron neural network model for prediabetes prediction is proposed, based on a dataset with 125 persons (men and women), with the following features: gender (S), serum glucose (G), serum triglycerides (TG), serum high-density lipoprotein cholesterol (HDL), waist circumference (WC) and systolic blood pressure (SBP). The output feature in the dataset (prediabetes or not) was based on a standardized medical criterion named Adult Treatment Panel III Guidelines (ATP III), which specifies that prediabetes diagnostic can be establish if at least three of five parameters are outside the scale of their normal values. Satisfactory results were obtained in evaluating the model.
Diabetes Prevalence and Duration Data Extracted from Outpatient Records Representative for the Bulgarian Population
Authors: Krastev Evgeniy , Abanos Simeon , Kovachev Petko , Tcharaktchiev Dimitar
Published: June 2023

This paper presents new data about diabetes prevalence and illness duration from a population of patients with diabetes Type 1(43,818) and Type 2 (457,247). Unlike the usual approach that employs adjusted estimates in similar prevalence reports, this study extracts data from a large number of original clinical documents such as all the outpatient records (6,887,876) issued in Bulgaria to all the 501,065 patients with diabetics during 2018 (9.77% of all the 5,128,172 patients recorded in 2018, 4.43% male and 5.35% female). Diabetes prevalence data are described in terms of distributions of Type 1 and Type 2 diabetes over age and gender. It is mapped to an Observational Medical Outcomes Partnership Common Data Model that is publicly available. The distribution of Type 2 diabetics agrees with peak values of BMI established in related research. A major novelty in this research are the data about the diabetes illness duration. It is an essential metric for evaluating the quality of processes evolving over time. Accurate estimates are obtained for the duration measured in years of Type 1 (95% CI 10.92, 11.08) and Type 2 (95% CI 7.97, 8.02) diabetics from the Bulgarian population. The patients with diabetes Type 1 have longer diabetes duration relatively to those with Type 2. It is recommended to include this metric in official diabetes prevalence reports.
TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research
Authors: Maatouk Hamza , Uschmann Sebastian , Festag Sven , Schneider Tim , Weber Anna , Khoi Ngo Manh , Bock Sven , Jonas Stephan M. , Spreckelsen Cord , Klan Friederike
Published: June 2023

Ensuring data quality and protecting data are key requirements when working with health-related data. Re-identification risks of feature-rich data sets have led to the dissolution of the hard boundary between data protected by data protection laws (GDPR) and anonymized data sets. To solve this problem, the TrustNShare project is creating a transparent data trust that acts as a trusted intermediary. This allows for secure and controlled data exchange, while offering flexible datasharing options, considering trustworthiness, risk tolerance, and healthcare interoperability. Empirical studies and participatory research will be conducted to develop a trustworthy and effective data trust model.
Review of Care Transition Records and Their Transmission Process in Nursing Facilities and Hospitals in Germany – Results of an Online Questionnaire
Authors: Mess Elisabeth Veronica , Balic Sabahudin , Daufratshofer Lisa , Kleybolte Lukas , Regner Matthias , Seifert Nadine , Tilmes Sabrina , Waibel Ann-Kathrin , Swoboda Walter , Teynor Alexandra , Mahler Andreas
Published: June 2023

A quantitative approach in the form of an online questionnaire was used to identify challenges and desires related to the Care Records Transmission Process and Care Transition Records (CTR). The questionnaire was sent to nurses, nursing assistants, and trainees working in ambulatory, acute inpatient, or long-term care settings. The survey revealed that creating CTRs is time-consuming, and the lack of standardization of CTRs makes the process even more cumbersome. In addition, most facilities transmit the CTR by physically handing it over to the patient or resident, resulting in little or no preparation time for the individual(s) receiving care. The key findings also suggest that most respondents are only partially satisfied with the completeness of the CTRs and that they must conduct additional interviews to obtain missing information. However, most respondents hoped that digital transmission of CTRs would lead to less administrative burden and that standardization of CTRs would be encouraged.
Change of Technology Use Among Community-Dwelling Older Adults During the COVID-19 Pandemic
Authors: Fotteler Marina , Denkinger Michael
Published: June 2023

Older adults are at increased risk of loneliness, even more so in times of a pandemic. Technology can be one way to support people to stay connected. This study examined how the Covid-19 pandemic affected technology use of older adults in Germany. A questionnaire was sent to 2,500 adults aged 65.Of 498 participants included in this study sample, 24.1% (n=120) reported an increased technology use.Feeling lonely often or sometimes was reported by 27.91% (n=139). Overall, people who were younger and lonelier were more likely to increase their technology use during the pandemic.
Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan
Authors: Ahmed Arfan , Aziz Sarah , Abd-Alrazaq Alaa , Qidwai Uvais , Farooq Faisal , Sheikh Javaid
Published: June 2023

Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is associated with several changes in hormones and circadian rhythms. Whether there are accompanying changes in stress levels is not widely reported especially in school children. The objective of this study is to examine the impact of intermittent fasting during Ramadan on stress levels in school children as measured using wearable artificial intelligence (AI). Twenty-nine school children (aged 13-17 years and 12M / 17F ratio) were given Fitbit devices and their stress, activity and sleep patterns analyzed 2 weeks before, 4 weeks during Ramadan fasting and 2 weeks after. This study revealed no statistically significant difference on stress scores during fasting, despite changes in stress levels being observed for 12 of the participants. Our study may imply intermittent fasting during Ramadan poses no direct risks in terms of stress, suggesting rather it may be linked to dietary habits, furthermore as stress score calculations are based on heart rate variability, this study implies fasting does not interfere the cardiac autonomic nervous system.
MYeHealthAppCY: A Healthcare Mobile Application in Cyprus
Authors: Agroti Louiza , Canciu Ionut-Cristian , Christodoulou Marios , Papaioannou Maria , Neocleous Andreas , Savva Panayiotis , Yiasemi Constantinos , Solomou Theodoros , Panayides Andreas , Antoniou Zinonas , Neofytou Marios , Constantinou Ioannis , Pattichis Constantinos S.
Published: June 2023

This paper presents MYeHealthAppCY, an mHealth solution designed to provide patients and healthcare providers in Cyprus with access to medical data. The application includes features such as an at-a-glance view of patient summary, comprehensive prescription management, teleconsultation, and the ability to store and access European Digital COVID Certificates (EUDCC). The application is an integral part of the eHealth4U platform targeting to implement a prototype EHR platform for national use. The application developed is based on FHIR and follows a strict adherence to widely used coding standards. The application was evaluated receiving satisfactory scores; however, significant work is still needed to deploy the application in production.