bluuebunny/crossref_metadata_2025 huggingface dataset:
FORECASTING THE RESULTS OF THE PRESIDENTIAL ELECTIONS IN FRANCE BASED ON TWITTER DATA
Authors: RUDNYK TARAS , CHERTOV OLEG
Published: January 2023

This paper presents the study to collect, store and analyze data from Twitter to forecast French presidential election results, compared to sociological polls. The first and probably the most important step of the research is to collect, store and clean data, the whole result depends on the amount and quality of data. In the next step of research, datasets are analyzed. Lastly, complete report and visualizations are provided. In the study, we propose modern technics, mathematical algorithms, and machine learning approaches to analyze big amounts of data from the Twitter social network in order to forecast the 2022 French presidential election results. The determined outcome is compared with sociological polls and the real results of elections.

In the conducted research modern types of media are compared to select the best one for election prediction. Selected Twitter social network as the one with the most appropriate data and availability to download big amounts of useful information. The approach based on the usage of Python programming language, Selenium browser emulation and MongoDB database was used to collect, store and clean data about the main French election candidates – Emmanuel Macron and Marine Le Pen. The research was made from August 2021 until the election itself in April 2022. The determined outcome is compared with sociological polls and the results of elections and showed that analysis of social network data could be a good alternative to traditional sociological polls as it shows the same trends month by month and well predicted the win of Emmanuel Macron in elections. Moreover, the proposed approach has its benefits compared to sociological polls such as always being fresh, and close to real-time information, the price of research is much lower and could be reused for the next parliamentary or presidential elections with a small modification.

The research could be extended and adapted for other countries. Currently, the proposed algorithms and mathematical models showed good results in the French and Ukraine elections. It works well with English, French, Ukrainian and Russian languages. This allows us to claim that it will also work fine with other Latin or Cyrillic alphabets but for Asian or Arabic languages more research would be needed. Twitter is a good choice for European and American countries. In the future, other social networks should be considered for the countries in which it is not so popular.
DEVISING ARCHITECTURE FOR REMOTE EDUCATION ORGANIZATION BASED ON A SINGLE-BOARD COMPUTER
Authors: KRAINYK YAROSLAV
Published: January 2023

The presented paper sets the goal of providing computer engineering courses based on a single-board computers (SBC) with the organization of the remote education process. The devised approach relies on the connection to the local area network (wired or wireless) of the university, making the board accessible to the internal users, and creation of a network tunnel between the remote user and connected parts. These actions are accompanied by assignments of necessary permissions to the users of the system. First, the requirements of each involved actor were considered and as a result of that further understanding of the network communication process, network management and administration, software requirements, etc. was acquired. According to these results, analysis of the capabilities of SBC in terms of its connectivity was performed and, finally, the architecture was realized on the available hardware with regard to the peculiarities of the specific subject. The article establishes all the necessary details on the implementation of the proposed architecture and discusses results of the testing performed as a part of the specific course. During the testing stage, the deployed system based on FriendlyARM Nano Pi allowed us to organize the course on Real-Time Embedded Computer Systems and successfully finish all related activities under circumstances of remote education. It was demonstrated that the proposed organization is reliable as demonstrates conceivable performance even under condition of multiple simultaneous connections to the target board. From the administrative point of view, the solution is highly configurable which is a huge advantage for the lecturer and for the administrator. The devised architecture has a potential in terms of improvement and scalability because it consumes relatively low network capacity and is easy to deploy under any circumstances.
Analysis of the Effect of Growth, Profitability, Interest Rates, Inflation and Asset Structure on Firm Value With Dividend Policy as an Intervening Variable
Authors: Muhammad Siham , Kurniasari Apriliana
Published: January 2023

This research is to analyze the effect of growth, profitability, interest rates, inflation, and asset structure on firm value. On the other hand, this research also analyzes dividend value as an intervening variable. used path analysis to analyze the data in this study. Of the 30 populations in this study, the samples that came out after using purposive sampling were from 7 companies. The purpose of this study was to determine and analyze the effect of growth, profitability, interest rates, inflation and asset structure on dividend policy and firm value. The results of this study indicate that growth and profitability have a significant effect on dividend policy; however, interest rates, inflation, and asset structure have no significant effect on dividend policy. Growth and profitability have a significant effect on firm value, but interest rates, inflation, and asset structure have no significant effect on firm value. Dividend policy has a significant effect on firm value. Growth, profitability, interest rates, inflation, and asset structure have no significant effect on firm value through dividend policy.
Abstrak
Penelitian ini untuk menganalisis pengaruh pertumbuhan, profitabilitas, suku bunga, inflasi, dan struktur aktiva terhadap nilai perusahaan. Di sisi lain, penelitian ini juga menganalisis nilai dividen sebagai variabel intervening. menggunakan analisis jalur untuk menganalisis data dalam penelitian ini. Dari 30 populasi dalam penelitian ini, sampel yang keluar setelah menggunakan purposive sampling adalah sebanyak 7 perusahaan. Tujuan penelitian ini untuk mengetahui dan menganalisis pengaruh pertumbuhan, profitabilitas, suku bunga, inflasi dan struktur aset terhadap kebijakan dividen dan nilai perusahaan. Hasil penelitian ini menunjukkan bahwa pertumbuhan dan profitabilitas berpengaruh signifikan terhadap kebijakan dividen; namun suku bunga, inflasi, dan struktur aset tidak berpengaruh signifikan terhadap kebijakan dividen. Pertumbuhan dan profitabilitas berpengaruh signifikan terhadap nilai perusahaan, tetapi suku bunga, inflasi, dan struktur aset tidak berpengaruh signifikan terhadap nilai perusahaan. Kebijakan dividen berpengaruh signifikan terhadap nilai perusahaan. Pertumbuhan, profitabilitas, suku bunga, inflasi, dan struktur aset tidak berpengaruh signifikan terhadap nilai perusahaan melalui kebijakan dividen.
Keywords: Pertumbuhan; Profitabilitas; Suku Bunga; Inflasi; Struktur Aset; Nilai Perusahaan; Kebijakan dividen.
FOB RESULTS OF PROPHYLACTIC MEDICAL EXAMINATION IN MUNICIPAL DISTRICTS OF THE REPUBLIC OF TATARSTAN IN 2018-2019
Authors:   Republican Clinical Oncology Dispensary of Ministry of Healthcare of Tatarstan Republic named after prof. M.Z. Sigal, Кhasanova M. A. , Chanysheva G. G. ,   Republican Clinical Oncology Dispensary of Ministry of Healthcare of Tatarstan Republic named after prof. M.Z. Sigal
Published: January 2023

Purpose. The work was aimed at analyzing the fecal occult blood (FOB) test results obtained during oncoscreening for colorectal cancer due to prophylactic medical examination of the population of some municipal districts of the Republic of Tatarstan (RT) in 2018 and 2019, as well as assessing the distribution of the examined patients by gender, age, and pathology detectability for different RT regions. Material and methods. Materials for examination were stool samples taken into special vials manufactured by Sentinel Diagnostics (Italy). Materials were taken in laboratories of regional hospitals and outpatient departments. Fecal occult blood tests were performed on a AU-680 and AU-480 Beckman Coulter biochemical analyzers in the RT oncology dispensary laboratory by the immunochemical (immunoturbodimetric latex) method for quantitative determination of hemoglobin content in the stool. The reagents were supplied by Sentinel FOB Gold NG. Reference values were 0–50 ng/ml. Results. A comparative analysis of the data for two years showed the increase in inclusion of population into prophylactic medical examination from 4,2% up to 6,9% predominantly thanks to women, as well as the decrease in the revealed FOB pathology from 8,7% down to 7,7% both within men and women. The maximum increase in the amount of the examined population from 8,5% in 2018 up to 18,3% in 2019 occurred in the Atninsky municipal district. The averaged maximum abnormal level within women (12,1%) was revealed in the Vysokogorsky municipal district, but within men (16,0%) — in the Sabinsky municipal district. A two-fold increase in the abnormal level within men occurred in the Alkeyevsky, Buinsky, and Sarmanovsky municipal districts, but within women — in the Kaybitsky municipal district. Most frequently, for every fourth patient in average, exceeded reference values were observed for the total age of 60-69 and more then 70. For the age of 50-59, a permanently low abnormal level was revealed both within men (2% in 2018 and 3% in 2019) and women (3% and 3% respectively). The abnormal level over the average for the Republic within men of the age of 40-49 was revealed in seven municipal districts. The abnormal level over the average was observed within all population of the age of 40 to 50 in the Apastovsky municipal district. A positive dynamics (a decrease in pathology level below the average) within population of all age groups was observed in four municipal districts (the Drozhzhanovsky, Rybno-Slobodsky, Sarmanovsky, and Mamadyshsky districts).
A RARE CASE OF MALIGNANT NEOPLASM ASSOCIATED WITH A GERMINAL MUTATION IN THE CHEK2 GENE. CLINICAL OBSERVATION
Authors:   Republican Clinical Oncology Dispensary, Menshikov K. V. , Sultanbaev A. V. ,   Republican Clinical Oncology Dispensary, Izmaylov A. A. ,   Republican Clinical Oncology Dispensary, Menshikova I. A. ,   Bashkir State Medical University, Musin Sh. I. ,   Republican Clinical Oncology Dispensary, Sultanbaeva N. I. ,   Republican Clinical Oncology Dispensary, Popova E. V. ,   Republican Clinical Oncology Dispensary, Nasretdinov A. F. ,   Republican Clinical Oncology Dispensary, Rezyapova A. Sh. ,   Bashkir State Medical University
Published: January 2023

An analysis of a series of population studies and the results of molecular genetic studies show that one of the predisposing factors in the development of cancer is the presence of a germline mutation. Monoallelic mutations in PALB2, CHEK2, and ATM may be associated with an increased risk of developing cancers other than breast cancer, as has been observed for BRCA1 and BRCA2, ovarian, and prostate cancers. A large body of evidence has now accumulated indicating that carriers of germline CHEK2 mutations face an increased risk of a variety of cancers that exhibit some specific clinicopathological characteristics. The paper presents data on the significance of germline mutations in the CHEK2 gene, as well as a clinical observation of a patient with a germline mutation in the CHEK2 gene and a developed malignant neoplasm. The above clinical observation makes it possible to establish a link between a germline mutation in the CHEK2 gene and the development of a rare malignant neoplasm at a young age in a patient. The paper reflects the need for genetic testing in healthy relatives of the patient for the presence of a germline mutation in the CHEK2 gene, which will allow for thorough screening measures for the early detection of malignant neoplasms.
BRCA-MUTATED PANCREATIC CANCER. CLINICAL CASES
Authors:   Kazan State Medical Academy ― Branch Campus of the FSBEI FPE RMACPE MOH Russia, Akhmetshina L. A. , Mukhametshina G. Z. ,   Kazan State Medical Academy ― Branch Campus of the FSBEI FPE RMACPE MOH Russia, Tekhteleva I. S. ,   Republican Clinical Oncology Dispensary of Ministry of Healthcare of Tatarstan Republic named after prof. M.Z. Sigal
Published: January 2023

Pancreatic cancer (PC) is the seventh leading cause of cancer death in both men and women worldwide. Over the past decades the incidence has been growing rapidly Mutations in BRCA1 or BRCA2 are associated with an increased risk of developing PC compared with the normal population by 2,7-4,1 times and 3,5-5,8 times respectively. The results of determining the expression of PD-L1 indicate that the use of immunotherapy may be effective in this case. Supposed that the main direction of treatment BRCA-mutated PC is combination of PARP-inhibitors with immune-checkpoint inhibitors. Two clinical cases of patients with BRCA-mutated PC, which were identified in Republican Clinical Oncology Dispensary of Ministry of Healthcare of Tatarstan Republic named after prof. M.Z. Sigal, are described in this article. In both clinical cases, there is an association between the detection of a BRCA mutation in a patient and the presence of breast cancer family history. The tumor of one patient is characterized by MSI-H, which correlates with worldwide data about high immunogenicity of BRCA-mutated tumors. According to updated recommendations from the American Society of Clinical Oncology all patients diagnosed with PC should be tested for BRCA mutation despite their age and family history. We believe this approach will help to identify real incidence of BRCA mutation in our population and find patients, who may potentially benefit from the use of PARP inhibitors.
Designing a Strong Physically Unclonable Function Using Low Power LFSR
Authors: Srilakshmi BVDN. , Mannem Kiran , Jamal K. , Kumar Manchalla.O.V.P.
Published: January 2023

In this new era, security is being the major concern in day to day life. To secure the data many security models are been introduced. Advanced Encryption Systems such as encryption, decryption methods are having a drawback, that it uses a key to store the data in its devices. The key can be easily cloned by any 3rd party person and there is a chance of losing data and the device security. PUF (Physically Unclonable Function) is mainly used for device authentication. It helps to identify the data and its device while performing authentication process. In front-end the PUF is used for device authentication where as in back-end LFSR (Linear-Feedback-Shift-Register) is used to generate random numbers which helps to increase more security. Previously the PUF based LFSR is been implemented and observed the results. In this project the PUF is implemented using LP LFSR (Low power Linear Feedback Shift Register) in order to show more improvement in terms of security by increasing the randomness.
Artificial Intelligence Based System for Securing Computer Networks: A Survey
Authors: Tarajit Singh Bidawat , Sundara Kumar Bollarapu , Rama Reddy T. , Kiruthika Devi B.S.
Published: January 2023

The security of computer networks is crucial in today’s computer systems. A number of software technologies are now being developed in order to impose high levels of protection against harmful attacks. Because of their potential to detect and prevent assaults by malicious network users, intrusion detection systems have recently become a hot research issue. This article discusses various recent techniques such as anomaly, signature, open source IDS such as SNORT, machine learning, and edge assisted technologies in detail, along with the advantages and disadvantages of the deployed system. The tools used, datasets, performance metrics, and the accuracy of the methodologies are compared, and it gives a clear view of further advancements in computer networks. Based on the studies, it can be said that machine learning algorithms work better than other traditional methods and make security better.
A Detailed Investigation on Forest Monitoring System for Wildfire Using IoT
Authors: Wesly U. John , Venkata Sai Chaitanya R. , Lakshman Kumar P. , Siva Kumar N. , Kiruthika Devi B.S.
Published: January 2023

The world’s forests cover one-third of the planet’s land surface, and it is necessary to sustain life with this geography. There is enough food, water, and energy for us to live off of them. Forest fires have recently surpassed all other forms of environmental degradation as the leading cause of death and destruction on Earth. Wildfires in the Amazon rain forest charred hundreds of hectares of land in 2019. A well-structured forest-monitoring system has been put in place in order to keep an eye on it. Incorporating the Internet of Things (IoT) and image processing systems is a real game-changer. The wireless network has made use of both of these techniques in recent times. This paper discusses the various technologies that keep track of the forest’s environmental conditions in real time and identify wildfires. Based on the information, the alerts are passed to the authorities to take action and protect the forest from further damage.
Sentiment Classification for Amazon Fine Foods Reviews Using Pyspark
Authors: Aravindan T.R. , Vigneshwar C. N. , Suganeshwari G
Published: January 2023

The mechanical study of people’s opinions, sentiments, attitudes, and emotions as they are expressed through communication is known as sentiment analysis or opinion mining. This one has recently been among the most popular analytical themes in text mining and Natural Language Processing. Its widespread popularity is due to two factors: The first factor is opinions are fundamental to practically all human endeavors and are significant determinants of a person’s behavior. It has a wide range of applications. Second, it resolves several challenging analysis problems that were never even attempted. We employed Big Data Framework to solve the issue because traditional solutions cannot handle the exponential growth of Amazon’s food data. In this study, we investigate various approaches to sentiment analysis for large datasets of Amazon Fine Food reviews using the Apache Spark data processing engine and utilizing MLlib, the machine learning package for Apache Spark, three techniques—Linear SVC, Logistic Regression, and Naive Bayes—with more than 80% accuracy rates. We find that linear SVC outperforms NB and logistic regression. Through empirical analysis, we find that sentiment analysis through a big data framework is more efficient in computation time compared to sentiment analysis without the map-reduce framework.
Alive Human Detection and Health Monitoring Using IOT Based Robot
Authors: Amar Babu Y. , Reshma A. , Tejeswar P.V.N.S. , Vinay Kumar R. , Sri Vastav M. D.
Published: January 2023

Every year number of deaths due to wars and some natural and manmade disasters are increasing. Due to this many people will get stuck and it is very time-consuming for the emergency rescue operators should come there and start the rescue operation till this process a person may lose their precious lives. In order to solve this problem firstly the ground robot moves in the open field in the affected area to find out the affected human being. Ultrasonic sensor is used to guide the robot if in case there are obstacles in the path. The low-cost camera sends live video continuously. The PIR sensor is used to finds motion in human beings. If there is any motion detected then the affected person then the robot asks victim to place their finger on the sensors so that the health parameters can be monitored. GPS sends the location of the corresponding victim. This information is sent through Wi-Fi transceiver to the Thing-speak app in the smartphone through IoT.
An Analysis of Intelligent Parking System Using Artificial Intelligence for IoT Applications
Authors: Sai Sree Gurrala , Sasi Pavan Kumar Tungala , Prasanth Vaidya S. , Kiruthika Devi B.S.
Published: January 2023

Nowadays, it has become a tedious task to control the traffic caused by the unplanned parking system. Many manual parking systems are used these days, which always don’t provide accuracy. There is a huge wastage of fuel and time in the manual parking system. During any kind of emergency, it is highly impossible for anyone to wait all the way to the parking lot, which may lead to any kind of danger. Manual parking systems must be fast enough and the person should be attentive all day, which is also not so effective. To avoid such circumstances, it is essential to develop an intelligent parking system that utilizes the benefits of artificial intelligence and IoT-based systems for improving the applications. This paper examines various intelligent parking systems in depth and compares their efficiency to traditional methods. From the studies, it is evident that image segmentation and compression techniques provide better accuracy and provide reliable efficiency.
Analysis of Different Configurations of Si1-xGex for Double-Gate MOSFETs and Its Future Applications
Authors: Singh Akshat , Kumar Manoj
Published: January 2023

The major drawbacks of basic electronic components i.e., Vacuum Tubes used before the 1960s were a large size and the inability of these to be scaled down further. With the emphasis shifting to scaling down we came across the MOSFETs in single-gate configuration since the 1960s, they are utilized nowadays in the nanometer region for keeping the high-performance level but still, these single-gate configurations of MOSFETs suffer from different parameters such as coupling, interfacing, channel mobility, channel orientation, switching delay, latch-up and leakage current, short channel effects (DIBL, GIDL, subthreshold swing) and volume inversion and this has led to decrease in inversion charge, increase in leakage current and reduction in the drive current leads us to the exploration of the double-gate configuration of MOSFET and on further exploration it leads us to the novel and higher mobility channel materials such as Si1-xGex which can perform and even shows better results than prevailing single-gate MOSFETs. This paper analyses the different configurations of Si1-xGex for double-gate configuration of MOSFETs and its Future Applications.
The Use and Abuse of Normative Ethics for Moral Machines
Authors: Stenseke Jakob
Published: January 2023

How do we develop artificial intelligence (AI) systems that adhere to the norms and values of our human practices? Is it a promising idea to develop systems based on the principles of normative frameworks such as consequentialism, deontology, or virtue ethics? According to many researchers in machine ethics – a subfield exploring the prospects of constructing moral machines – the answer is yes. In this paper, I challenge this methodological strategy by exploring the difference between normative ethics – its use and abuse – in human practices and in the context of machines. First, I discuss the purpose of normative theory in human contexts; its main strengths and drawbacks. I then describe several moral resources central to the success of normative ethics in human practices. I argue that machines, currently and in the foreseeable future, lack the resources needed to justify the very use of normative theory. Instead, I propose that machine ethicists should pay closer attention to the multifaceted ways normativity serves and functions in human practices, and how artificial systems can be designed and deployed to foster the moral resources that allow such practices to prosper.
Social Robotics as Moral Education? Fighting Discrimination Through the Design of Social Robots
Authors: Fossa Fabio
Published: January 2023

Recent research in the field of social robotics has shed light on the considerable role played by biases in the design of social robots. Cues that trigger widespread biased expectations are implemented in the design of social robots to increase their familiarity and boost interaction quality. Ethical discussion has focused on the question concerning the permissibility of leveraging social biases to meet the design goals of social robotics. As a result, integrating ethically problematic social biases in the design of robots–such as, e.g., discriminatory gender stereotypes–has been opposed as morally unacceptable. Building on this debate, the present paper explores a related but different question: would it be permissible to design social robots in ways that intentionally challenge widespread discriminatory social biases, thus fostering moral education? The analysis shows that, while the potential benefits of such a design strategy could be significant, its practical endorsement raises important ethical issues. Hence, caution and further discussion are advised.
Helping-as-Work and Helping-as-Care: Mapping Ambiguities of Helping Commercial Delivery Robots
Authors: Dobrosovestnova Anna , Reinboth Tim
Published: January 2023

In this paper, through two perspectives on helping robots, we bring forth a discussion on what it means for passersby to help a commercially deployed robot in public spaces. With helping-as-work perspective we raise issues around precarity and invisible labor, asking: can helping robots be considered work? and with what consequences? While helping-as-care highlights the affective, relational aspects of help, which are taken advantage of, but rarely appreciated in typical robot studies. In the concluding section of the paper, we deepen our use of the notion of ambiguity as a productive lens through which to view the helping-robots situation. We argue that it offers both novel theoretical moments and a basis for various actors to take responsibility within the socio-technical system that service robots are embedded within.
A Hermeneutical Approach to Provide Robots with Socially Adaptive Perception
Authors: Mazzola Carlo , Incao Sara , Marassi Massimo , Rea Francesco , Sciutti Alessandra
Published: January 2023

Adaptive behaviour is essential for robots to establish natural social interactions with humans. It is grounded and develops from an adaptive perception of the environment and the other agents. At the intersection of social and cognitive robotics, this paper theorises interpretation as a fundamental instrument to provide such skills to robots. First, the hermeneutical circle of context and experience is described as a core element of adaptivity in human perception. Second, the process of interpretation/contextualisation is presented through two different but complementary levels. Finally, in a dialogue with the current developments in social robots, the paper brings to attention some problems and possibilities on the topic.
Towards a Questions-Centered Approach to Explainable Human-Robot Interaction
Authors: Hannibal Glenda , Lindner Felix
Published: January 2023

To address the tension between demands for more transparent AI systems and the aim to develop and design robots with apparent agency for smooth and intuitive human-robot interaction (HRI), we present in this paper an argument for why explainability in HRI would benefit from being question-centered. First, we review how explainability has been discussed in AI and HRI respectively, to then present the challenge in HRI to accommodate the requirement of transparency while also keeping up the appearance of the robot as a social agent. Based on the conceptualization of questions as information-seeking acts, our proposal for a question-centered approach to explainable HRI (xHRI) implies that to ensure transparency, robots shall provide explanations upon request in the form of questioning. We end this paper by laying out a preliminary taxonomy of xHRI-relevant questions that present the kinds of explanations a robot can or should be able to provide for successful and transparent HRI.
Explaining Intentional and Unintentional Behavior: Social Norms for Explainable Robots
Authors: Papagni Guglielmo , Koeszegi Sabine
Published: January 2023

This paper addresses the question of whether robots should adhere to the same social norms that apply to human-human interaction when they explain their behavior. Specifically, this paper investigates how the topics of ascribing intentions to robots’ behavior, and robots’ explainability intertwine in the context of social interactions. We argue that robots should be able to contextually guide users towards adopting the most appropriate interpretative framework by providing explanations that refer to intentions, reasons and objectives as well as different kinds causes (e.g., mechanical, accidental, etc.). We support our argument with use cases grounded in real-world applications.
Realization of the Avatar Symbiotic Society: The Concept and Technologies
Authors: Ishiguro Hiroshi
Published: January 2023

The author has long been engaged in the research and development of robots that act as human surrogates. Moreover, the author has addressed the issues of how to give robots a sense of presence, how to make them look and feel alive, how to enrich human–robot interactions, and how to design a society where humans and robots coexist. Recently, based on this research and development, the author has led a project to realize the “Avatar-Symbiotic Society,” in which one can easily manipulate multiple avatars as one wishes and participate in various social activities through them. This study introduces some of the technologies developed in this research and introduces the concept of an avatar-symbiotic society. After describing the outline of the project, this study discusses ethical issues concerning the research and development of avatars.
Problem: Shortage of Pastors—Solution: Religious Robots?
Authors: Tretter Max
Published: January 2023

Many Christian churches around the world are struggling with a shortage of pastors—leading to long vacancies in some parishes and posing great challenges for pastors who have to fill in these gaps. This raises the question of whether pastoral shortage could be solved technologically by providing each vacant parish with social robots that could take over the religious tasks and replace lacking human workforce. Based on a comprehensive literature review on social robots in religious contexts, I provide an overview of robots that already perform religious acts around the world and consider the discussions that arise about them. From these considerations, I conclude that social robots cannot and should not (yet) replace human pastors. However, they can assist human pastors and thereby address and mitigate the negative effects of the pastor shortage in some ways.
Correlation between Diaphragmatic Contraction Pressure of Dip Belt and Diaphragmatic Motion in Ultrasound Imaging and Lung Capacity
Authors:   Korean Academy of Cardiorespiratory Physical Therapy, Lee Jae-Seok , Kang Tae-Wook
Published: January 2023

Purpose: This study was designed to determine the correlation between the diaphragmatic contraction pressure using diaphragmatic pressure belt (DiP Belt) and the ultrasound imaging of diaphragmatic motion and forced vital capacity. This study was conducted to confirm the usefulness of assessing the diaphragmatic function using the DiP Belt.
Methods: This study included 41 healthy subjects (13 males and 28 females). The diaphragmatic motion was measured using sonography, and the forced vital capacity (FVC) was measured using a portable digital spirometer device. After 2 weeks, the diaphragmatic contraction pressure was measured during maximal inspiration using the DiP Belt.
Results: The mean diaphragmatic contraction pressure (MDCP) and peak diaphragmatic contraction pressure (PMCP) using the DiP Belt were not significantly correlated with sonography imaging of diaphragmatic motion during quiet breathing but were significantly positively correlated with the diaphragmatic motion during deep breathing. Both the MDCP and PMCP were significantly positively correlated with FVC, forced expiratory volume in 1 second (FEV1), and peak expiratory flow (PEF). However, diaphragmatic motion was significantly positively correlated with FVC, FEV1, and PEF in only deep breathing.
Conclusion: The Dip Belt can provide valuable information about the diaphragmatic function, particularly ultrasound imaging of diaphragmatic motion and lung capacity.
DIRECTIONS OF REFORMING THE MUSEUM SECTOR IN EUROPE: EXPERIENCE FOR UKRAINE
Authors: Komova О.
Published: January 2023

The article research the main problems of the Ukrainian museum sector, analyzes museum reforms in the EU-member states over the last 20 years, and suggests the major vectors of museum reform in Ukraine based on the best practices of the Western European museology. The article deals with the forms and methods of activity of the museum institution within the framework of this action on successful dialogue with the public, effective use of information technologies. Communication capabilities of museums are related to their ability to communicate information with real objects directly or indirectly. The foundationof the communicative work of the museum is its foundations since the exhibition, and the educational and communicative projects organized on its basis are impossible without scientifically attributed and carefully preserved collections. Accordingly, the most effective channel of museum communication remains the exposition of the museum.Along with traditional forms and tools of museum communication, such as exhibition and exhibition, educational and educational, publishing, holding scientific conferences, the presentation of museums in the media, the new ones, connected with the development of modern information technologies, become especially important. These include museums’ websites, virtual museums, virtual tours and tours, QR codes, 3D technology, profiles of museums in social networks. It is the active development of the latter that will promote the broader communication of the museums with a broad audience of visitors, the expansion of inter-museum contacts, the integration of domestic museums into the world museum community. Methodological basis of work is a comprehensive and systematic approaches involving methods of analysis, synthesis, comparative history, descriptive methods and methods of «oral history». It was proved that at the present stage museums act as intermediaries in solving complex social problems and conflicts; projects, as an effective form of implementing social activity of museums, contribute to the adaptation of museums and the museum industry as a whole to modern conditions of socio-economic and cultural life, support and promotion of the best examples of creative museum practices in Ukrainе.
Demonization of Christians: Missiological Perspectives and Implications
Authors:   Andrews University, Badé Michée
Published: January 2023

This article is a missiological reflection on the phenomenon of Christian demonization from a Seventh-day Adventist (SDA) perspective. The article argues from the four voices approach in theology (see Cameron et al. 2010; Cameron and Duce 2013), and contends that Christians can be demonized, have been demonized throughout the Christian church history, and are still demonized today across all Christian denomination lines. This is the position that appears in a few SDA publications, and is not in contradiction with the Scriptures. I suggest that demonization and demon possession are etymologically and phenomenologically the same. Thus, this paper builds on the assumption that Christian demonization is not just a claim from deliverance ministry practitioners with an operant theology but a missiological phenomenon with inreach and outreach dimensions. The phenomenon is encountered in formal and normative theologies as well, as it is an exposed theology from an operant theology. As such, this article points out that many mainline Christian denominations (Roman Catholics, Protestants like non-charismatic evangelicals, Seventh-day Adventists, etc.) have recently emphasized practical ministries in their denominations to face the needs of their members struggling with demonization. These denominations have moved from an attitude closed to the possibility of ministry to demonized members to a more open attitude with a willingness to consider the issue and explore potential solutions. The article first addresses briefly the seeming controversy on the translation of the Greek terms daimonizomenos (participle), and daimonizomai (verb). These terms, together with echo/echei daimonion, are translated in some Bible texts “possessed with the devil” (Mark 5:15, 16, 18, KJV), “demon- possessed” (Matt 8:28–32; Mark 5:15, 16, 18, Luke 8:27, NKJV or NIV etc.). Second, this article asserts that Christians are best categorized by the centered set theory and not otherwise (see Hiebert 1978, 1994, 2008). Consequently, this missiological reflection emphasizes that Christian demonization has missiological implications for Christian mission in general and SDA mission in particular. Finally, the article argues that theological research is enriched when the four voices of theology–the formal or academic theology, the espoused theology, the normative theology, and the operant theology are brought “into conscious conversation so that all voices can be enriched” (Cameron and Duce 2013:xxxi). This means that each theological voice must interpenetrate the others and influence them (xxx).
Acoustic Voice Measures in Benign Mass Lesions
Authors:   Faculty of Rehabilitation, Babol University of Medical Sciences, Babol, Iran., Rostampourgonbaki Mohaddeseh , Deghanpour Niloofar ,   Faculty of Rehabilitation, Babol University of Medical Sciences, Babol, Iran., Kiakojouri Keivan ,   Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran., Dehghan Mehdi ,   Ayatollah Rouhani Clinical Research Center, Movement Disorders Research Center, Faculty of Rehabilitation, Babol University of Medical Sciences, Babol, Iran., Gholinia Hemmat ,   Clinical Research Center of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.
Published: January 2023

Objectives: The present study aims to compare acoustic voice parameters in patients with vocal cord nodules, polyps, and normal subjects. Methods: In this cross-sectional case-control study, the participants were selected by convenience sampling, including 30 patients with vocal polyps for the first group, 38 patients with vocal nodules for the second group, and 42 participants without voice pathologies as the control group. For each group, participants were examined by a speech and language pathologist (SLP) using an Endo-vision laryngoscope. Acoustic voice parameters were measured by MDVP software in Visi-Pitch; then, these parameters were compared in groups in terms of sex. Results: Three groups showed significant differences in terms of fundamental frequency (P<0.001), jitter (P<0.001), shimmer (P<0.001), and noise-to-harmonic ratio (NHR) values (P<0.001). Women in three groups had the substantial differences in terms of fundamental frequency (P<0.001), jitter (P<0.001), shimmer (P<0.001), and NHR (P<0.001). For men, the three groups showed a significant difference for jitter (P<0.001) and shimmer (P=0.001), but for NHR (P=024), and fundamental frequency (P=0.93) no signification difference were observed. Discussion: It seems that the existence of benign mass lesions, such as vocal cord nodules and polyps affects the acoustic parameters of the voice. The measurement of acoustic voice parameters may help us to differentiate between the voices of normal people and patients with vocal cord nodules and polyps as a supplementary assessment in clinical procedures.
Examining the Influencing Factors on Deaf Children in Treatment Procedure and Family Environment
Authors:   Department of Audiology, School of Education and Rehabilitation, University of Tuzla, Tuzla, Bosnia and Herzegovina., Beha Admira
Published: January 2023

Objectives: This paper aims to determine the factors that affect the position of deaf children within the professional treatment procedure and family environment. Methods: The sample consisted of 217 respondents, of which 94 were parents of deaf and hard-of-hearing children and 123 respondents were professionals. Qualitative and quantitative analyses were applied for processing the results. Testing was performed with Wilks lambda, and the tested significance in the discriminant analysis was done via the F test at the statistical significance of 0.01. Results: The results demonstrated a relationship between the influence of the communication system and the attitude of the environment toward deaf children where the communication discriminatory factor was isolated. Insufficient information from the experts and decision-making factors in the education and rehabilitation processes are also isolated. Discussion: The obtained results indicated that it is necessary to carry out a series of systematic activities to improve and enhance the cooperation between parents and professionals to increase the level of information of professionals and to develop better models of counseling, education, and working with parents.
A Research on Violence Against Women: Are the Trends Growing?
Authors:   Department of Women and Family Studies, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran., Tavassoli Afsaneh , Soltani Sima ,   Department of Women and Family Studies, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran., Jamali Seyedeh Mahboobeh ,   Eshragh Institute, Ministry of Education, Tehran, Iran., Ale Ebrahim Nader ,   Alzahra University, Tehran, Iran.
Published: January 2023

Objectives: Violence against women is a global public health problem. Although there has been much research done on violence against women, there are few studies that provide the current scientific production. Methods: In this study, bibliometric analysis has been used to evaluate the 1984 documents from 1986 to 2020 based on the Scopus database. These documents were analyzed quantitatively by the Bibliometric R Package and the VOS viewer software. In addition, the 20 top-cited papers were analyzed qualitatively. Results: The research findings show that the United States is a leader in this field with the most highly cited articles and also the greatest number of publications followed by the United Kingdom, Canada, Australia, and South Africa. A total of 1984 documents were collected from the Scopus database and were analyzed in the Bibliometric R Research Package and the VOSviewer software. The results demonstrated that the average citations per year for each document were 23.39% and the annual scientific production growth rate was 16.86%. The keywords analysis indicates that most articles focus on “sexual violence”, “sexual assault”, “intimate partner violence”, “violence against women”, “sexual abuse”, “domestic violence”, “child sexual abuse”, “prevention”, and “rape.” Sources such as the “Journal of Interpersonal Violence”, “Journal of Violence Against Woman”, “Journal of Violence and Victims”, “Psychology of Women Quarterly”, “Journal of Adolescent Health”, “Journal of Consulting and Clinical Psychology”, “American Journal of Public Health”, “Journal of Consulting and Clinical Psychology”, and “American Journal of Public Health”, and “The Lancet” are the top most productive in this field. Discussion: Examining the articles showed that the vast majority of women have experienced verbal, sexual, intimate partner violence, cyber harassment, and so on.
On strange images with application to lossy image compression
Authors: Bondzulic Boban , Bujakovic Dimitrije , Li Fangfang , Lukin Vladimir
Published: January 2023

Single and three-channel images are widely used in numerous applications. Due to the increasing volume of such data, they must be compressed where lossy compression offers more opportunities. Usually, it is supposed that, for a given image, a larger compression ratio leads to worse quality of the compressed image according to all quality metrics. This is true for most practical cases. However, it has been found recently that images are called “strange” for which a rate-distortion curve like dependence of the peak signal-to-noise ratio on the quality factor or quantization step, behaves non-monotonously. This might cause problems in the lossy compression of images. Thus, the basic subject of this paper are the factors that determine this phenomenon. The main among them are artificial origin of an image, possible presence of large homogeneous regions, specific behavior of image histograms. The main goal of this paper is to consider and explain the peculiarities of the lossy compression of strange images. The tasks of this paper are to provide definitions of strange images and to check whether non-monotonicity of rate-distortion curves occurs for different coders and metrics. One more task is to put ideas and methodology forward of further studies intended to detect strange images before their compression. The main result is that non-monotonous behavior can be observed for the same image for several quality metrics and coders. This means that not the coder but image properties determine the probability of an image to being strange. Moreover, both grayscale and color images can be strange, and both the natural scene and artificial images can be strange. This depends more on image properties than on image origin and number of channels. In particular, the percentage of pixels that belong to large homogeneous regions and image entropy play an important role. As conclusions, we outline possible directions of future research that, in the first order, relate to the analysis of images in large databases to establish parameters that show that a given image can be considered as strange.