bluuebunny/crossref_metadata_2025 huggingface dataset:
The development of adolescents’ artistic perception in the children's art school settings
Authors: Zogol Svetlana G. , Smolyar Antonina I. , Gokina Alla G. , Kechaev Sergei S.
Published: September 2023

The article substantiates the relevance of studying the development of adolescents’ artistic perception in the children's art school which creates opportunities for students formation as subjects of culture and artistic activity as one of the factors of such perception development. In accordance with the purpose of the study, the developed model of adolescents’ artistic perception formation in the children's art school settings is substantiated and the empirical results of its implementation in the educational process of the Department of fine arts are presented. The authors emphasize that the developed model is based on the nescessity of comprehension of the meaning of a work of art in the fine arts classroom and acceptance of a teenager in artistic activity as a creator of a new reality; the methodological basis of the model is hermeneutic and poly-artistic approaches as well as principles adequate to them (a dialogue, personalization, cultural conformity of the educational process). They determine the content and leading methods of adolescents’ artistic perception development in a children's art school setting (the method of participation in artistic action and the method of projects). Using the set of research methods described in the article, the authors present the developed model implementation results, indicating positive development of artistic perception of adolescents manifested in higher awareness of how the artistic knowledge is applied in artistic and creative activity; emotional responsiveness to the artwork; skills and abilities of the artwork compositional analysis.
The process of creating creative products for students of architects and designers: integrative teaching methods
Authors: Mirkhasanov Rustem F. , Sabitov Linar S. , Garkin Igor Ni.
Published: September 2023

Article translates the practical pedagogical experience of the author in the course of studying and fixing the formal (compositional) sphere in classical, textbook works of painting, DPI, architecture and design. The composition is educational and creative, based on the laws and means of the formal sphere, is programmable in line with success. The purpose of the article is to increase the professional level of students' work in line with creative, compositional thinking and vision in planar and three-dimensional composition.
Determination of pedagogical conditions for the effectiveness of the use of search activity as a means of social hardening of youth
Authors: Shapedko Alexander A.
Published: September 2023

The article discusses the pedagogical conditions that determine the effectiveness of the use of search activity as a means of social hardening of youth. This process is characterized by the peculiarity of approaches, multi-aspect, its influence on the formation of life attitudes, trajectories of development of young citizens. Search work in this perspective is considered as an effective means to get involved in socially approved activities, expanding the range of formed readiness to solve life tasks, problems. In modern conditions, search activity is based on both the traditional experience of search and patriotic organizations, associations, and active, interactive forms and methods of work on the involvement of young people in civil-patriotic activities. The paper highlights the assessment of approaches to the formation of a meaningful component for the implementation of basic conditions. We attributed to them: the establishment of mutual assistance groups, the orientation of the multi-age community and its members to a personal model of nonviolent interaction, the training of search team leaders in the context of this model, building networking to expand social contacts and exchange life experiences based on dialogue and equality. The allocation of these conditions based on the results of monitoring work has shown its effectiveness and the possibility of applying in practice the work of children's and youth associations of a different orientation. The formed program for the inclusion of participants in the search work is considered by us as a local practice–oriented project built on the basis of modularity, in its structure it has a target, value–oriented, informative, technological and evaluative-effective blocks.
Features of the organization of the concept Director at different stages of age development
Authors: Volkova Elena Ve. , Moss Vladimir Al.
Published: September 2023

The article is devoted to the study of the features of the concept “Director” at different stages of age development. The study involved 638 respondents (pupils, students, film directors, psychologists) aged from 6 to 80 years. To identify the features of the organization of mental experience, the results of a directed associative experiment were analyzed (stimulus word - Director). The results of the study indicate that, as the age development and the mastering of professional activity, there is an increase in the differentiation and hierarchy of signs - first, the core and the outer periphery are distinguished, then the core, near, far and outer peripheries, and then - the differentiation of signs within the core. In the mature group of respondents and the group of film directors, the differentiation of features decreases, but there is an increase in the integration of features, which manifests itself in a decrease in differences between the core and the center. The basic characteristics of the director's personality are clarified - smart, responsible and creative. A significant predominance of emotional and evaluative features of the concept “Director” was revealed. A hypothesis has been put forward about the relationship between the measure of severity of the emotional and evaluative features of the concept “Director” and the measure of the integration of individual mental experience.
SANITARY AND HYGIENIC CHARACTERISTICS OF THE AIR ENVIRONMENT AT FLAX PLANTS
Authors: Shchepochkin Alexey M. , Shchepochkina Julia A.
Published: September 2023

Data on the state of the air environment at flax plants for a long period are given. It is noted that in studies conducted in the 30–70s of the last century, the main harmful production factor in the working rooms of flax mills is dust. However, dust is only one of the indicators of the sanitary and hygienic characte-ristics of the air environment of flax plants. Since the level of combine harvesting of flax reached 90 % by 1979 and the quality of flax products deteriorated, there was a need for comprehensive studies of the sanita- ry and hygienic characteristics of the air environment at flax plants. Such studies were carried out at four Belarusian flax mills (Dzerzhinsky, Volozhinsky, Slonimsky, Nesvizhsky) in 1980–1981. Comprehensive stu- dies provided for the assessment of the state of the air environment in the working rooms according to the following indicators: temperature and humidity conditions, air mobility, dustiness, the presence of microor- ganisms, the presence of odors. Since these studies were conducted after the almost complete transition to combine harvesting of flax, they may be of considerable interest for comparing the indicators with the data available at modern flax mills equipped with other technological equipment. In subsequent years, such com- prehensive studies were not carried out at flax mills using raw materials after combine harvesting.
PARTICULARITIES OF ARTISTIC DESIGN OF PATTERNS FOR TEXTILES
Authors: Rizhkova Viktoria V. , Ivanova Olga V.
Published: September 2023

The article deals with the peculiarities of artistic design of patterns for textiles in modern design. A special role is given to the imitation of natural materials. The tools of environmental and artistic design are texture. The role of texture as one of the main means of artistic expression, most clearly reflects the pe- culiarities of structure and surface finish, the peculiarity is emphasized by the significance of modern trends as the basis for the creation of patterns. This article discusses methods of designing drawings executed with the help of prints. Examples of drawings made by different methods and schemes are given.
Learning about fostering student engagement during online teaching: A collaborative reflective inquiry of two teacher educators
Authors: Ali Yemisi Deborah , Khoza Hlologelo Climant
Published: September 2023

The rapid shift to online teaching and learning during the COVID-19 pandemic required lecturers to think of altering their pedagogical approaches to suit online learning. One of those pedagogical approaches is fostering student engagement. We are two teacher educators who collaborated using a self-study methodology to look into our practice to learn about fostering student engagement in an online teaching environment. This study was guided by the theory of experiential learning and collaboration. Data were collected from our journal entries and collaboration discussions to narrate how our collaborative endeavours enabled us to learn about fostering student engagement in an online teaching platform. While the findings of what we learnt about fostering student engagement when teaching online are not entirely new in literature, we found that our collaborative endeavours helped us to deal with our fears and vulnerabilities as well as noticing pertinent aspects of student engagement in online teaching.  We recommend that lecturers need to embrace collaboration in negotiating new and challenging educational situations.
Teaching practice efficacy for preservice student teachers under COVID-19: A case study of Chitungwiza schools.
Authors: Mawonedzo Abigirl
Published: September 2023

This qualitative case study aimed to evaluate pre-service student teachers’ conceptions of the quality of teaching practicum on their preparedness for service. The establishment of teaching practice efficacy under pandemic induced circumstances can inform teacher education on developing new models of supervision. The COVID-19 outbreak around November 2019 created extensive interruption across all human activities. Lockdowns and movement restrictions to curb the spread of the disease had a profound impact on access to education in general and in particular pre-service student teachers' teaching practice. Focus group discussions and semi-structured individual interviews were used to solicit views from a sample of twenty students attached to two primary schools and their mentors and six teaching practice lecturers from two primary school training colleges. Data were analysed thematically. The results indicated that pre-service student teachers and the entire education sector were caught unprepared by the sudden demand for online education. The study found infrastructure and human capacity deficit to ensure the provision of quality education effectively. A prolonged school absence meant students could not thoroughly test theoretical knowledge through practice. The study established that pre-service student teachers need support through further training on emerging online teaching and learning technologies after the practicum. Mentors also need urgent in-service training on the use of information communication technologies. Lastly,  the government must start developing policies that promote and enhance support information communication infrastructure availability. Further research might look into the well-being of pre-service students in a pandemic environment.
Actas del Primer Congreso Argentino de Ingeniería Aeronáutica
Authors:   Facultad de Ingeniería
Published: September 2023

Durante los días 3, 4 y 5 de Diciembre de 2008, en la Facultad de Ingeniería de la Universidad Nacional de La Plata se lleva a cabo el Primer Congreso Argentino de Ingeniería Aeronáutica, CAIA 1. La presente publicación incluye los trabajos aprobados para su presentación en el CAIA 1. Este congreso está enfocado en temas de Investigación y Desarrollo aeronáuticos llevados a cabo por distintos investigadores y grupos de trabajo de nuestro país y el exterior.
KESALAHAN NOTARIS DALAM PEMBUATAN AKTA KUASA MENJUAL BERAKIBAT MENJADI TERPIDANA (Studi Kasus Putusan No. 196/PID.B/2019/PN DPS Jo. Putusan No. 20 PK/PID/2020)
Authors: Arief Husnan , Samosir Tetti
Published: September 2023

Penelitian ini membahas mengenai kesalahan dan pertanggungjawaban notaris dalam pembuatan akta kuasa menjual yang diputus Pengadilan memenuhi unsur pidana penipuan sesuai pasal 378 jo Pasal 56 ayat 2 KUHP berdasarkan studi kasus Putusan Pengadilan Negeri Nomor 196/Pid.B/2019/PN Dps juncto Putusan Pengadilan Tinggi Nomor 27/Pid/2019/PT DPS namun dalam Putusan Mahkamah Agung No. 20/PK/Pid/2020 dapat terbebas dari segala tuntutan hukum karena sebenarnya tidak tergolong ke dalam ranah pidana, tetapi dalam ranah administrasi. Penelitian ini merupakan penelitian hukum yuridis normatif dengan metode kualitatif untuk menganalisa data dan tipe penelitian diskriptif analitis. Berdasarkan analisis yang dilakukan, diketahui bahwa akta kuasa menjual tersebut berdiri sendiri, memuat klausul jual beli dan merupakan kuasa mutlak yaitu kuasa yang didalamnya mengandung unsur tidak dapat ditarik kembali oleh pemberi kuasa dan pada hakekatnya merupakan pemindahan hak atas tanah yang dilarang oleh Pasal 39 ayat (1) huruf (d) Peraturan Pemerintah Nomor 24 Tahun 1997 sehingga beresiko batal demi hukum, namun dalam hal ini Hakim Mahkamah Agung membatalkan kedua Putusan diatas dan memutuskan bahwa terhadap kasus ini masuk kedalam ranah administrasi bukan ranah pidana.
EFEKTIVITAS PROGRAM GENERASI BERENANA DALAM PENCEGAHAN PERNIKAHAN DINI DI KABUPATEN MALANG
Authors: Damayanti Ella Alma , Wahyudi Kalvin Edo
Published: September 2023

The Planning Generation Program is carried out through two approaches, namely to teenagers through the Counseling Information Center and approaches to elderly people who have teenage children through Youth Family Development. With this goal, we increase the knowledge and skills of teenagers so that they have healthy behaviour, avoid the risks of the KRR Triad, delay marriage, have a family life plan, and create a happy, prosperous little family and become an example, model, idol and ultimate source of information for their peers. This research aims to describe the effectiveness of the Planning Generation Program in preventing early marriage in Malang Regency. The research method used is qualitative descriptive research. This research focuses on the effectiveness of the Planning Generation Program in preventing early marriage in Malang Regency by using the theoretical basis of Riant Nulgroho regarding the five correct principles for the effectiveness of policy implementation. The data collection technique in this research is through observation, in-depth interviews, and documentation review. The results of the research show that the Planning Generation Program is quite effective in preventing early marriage in Malang Regency, following Riant Nulgroho's theory, namely Right Policy, Right Implementation, Right Target, Right Environment, and Right Process. However, there are still several obstacles in its implementation.
Efek Moderasi Moralitas Individu terhadap Hubungan Pengendalian Internal dan Kecendrungan Kecurangan
Authors:   Universitas Pattimura, Maluku, Soepriadi Dewi Nidia , Leiwakabessy Theophilia Fina ,   Universitas Pattimura, Maluku
Published: September 2023

Purpose: The aim of this research is to examine the moderating effect of individual morality on the relationship between internal control system and the tendency of village financial management fraudulency Methodology/approach: The sampling method was purposive sampling with a total sample of 51 respondents from 20 villages in Ambon City. The data collection technique used was a survey technique using questionnaires. Data analysis used moderated regression analysis Results/findings: The results of the study explained that the internal control system has a negative effect on the tendency of fraudulence and individual morality, which acts as a moderating variable that strengthens the relationship between the internal control system and the tendency of village financial management fraudulency. Limitations: The results of this study indicate that the independent variables internal control system and individual morality as moderating variables only affect the tendency of fraud in village financial management by 30.9%, meaning more than 69.1% are influenced by other factors outside the model. Other factors can be in the form of competence of village officials, as well as compliance with regulations and other behavioral factors that can contribute to the tendency of village financial management fraudulency. Contribution: For the government traditional villages in Ambon City to make the role of state saniri more effective which carries out the supervisory function as the implementation of the internal control function to prevent the occurrence of village financial management that is not in accordance with the rules and can lead to fraud. Novelty: This research was conducted in a village in Ambon City which has the status of a traditional village whose village government system upholds local customs and wisdom so that it is different from other villages based on administrative area.
Queer: Heterosexual and homosexual in Tatakhulu Afrika’s Bitter Eden
Authors:   Department of General studies Federal College of Education (Tech) Omoku, Rivers state Nigeria, Nigeria, Ordu Stanley , Odukwu Better ,   Department of General studies Federal College of Education (Tech) Omoku, Rivers state Nigeria, Nigeria
Published: September 2023

Purpose: This study aimed to assess the depiction of homosexuality in Bitter Eden by Tatamkhulu Afrika, as well as the reasons for its positive or negative portrayal and the attitudes of gays and heterosexuals toward one another. Homosexuality covers homosexuality, lesbianism, bisexuality, transgender, and other so-called “sexual disorders.” Additionally, it is classified as a psychopathological disorder. Methodology/approach: The work adopted psychological and queer theory. And descriptive and qualitative methods of data analysis were used by grouping and having textual analysis. Results: In gender studies, feminism (s) and masculinity (ies) are major issues, whereas queer studies, which were long marginalized, are now garnering more attention in the West. However, queerness, particularly homosexuality, has received little creative and critical attention in Africa. As a result, this research would fill a need left by the paucity of literature on the issue. The result of the investigation demonstrates that when it comes to African environments, homosexuality is still weird. Limitations: The study is limited to one novel, Afrika (2002). Bitter Eden. Contributions: The study revealed that homosexuals are stigmatized in the chosen text. The study concluded that despite the presence of homosexuality in Africa, it is still largely a closet phenomenon.
Cognitive skill instruction on enhancing retention in pupils with mild intellectual disability
Authors:   University of Jos, Jos, Nigeria, Longpoe Patricia Kwalzoom , Adebisi Rufus Olanrewaju ,   Federal College of Education (Special) Oyo, Nigeria
Published: September 2023

Purpose: This study aimed to determine the effectiveness of cognitive skill instruction on pupils with mild intellectual disability retention in spelling exercises, retaining poems, and letter recognition. Research methodology: Research questions and hypotheses were formulated as a part of the methodology. This study used a non-equivalent pre-test, post-test, experimental, and control group design. Working memory is the cognitive skill chosen by the researchers. Flash cards, 100 frequency words, and the working rating scale were used to measure working memory in order to examine the cognitive skills of retention of pupils with mild intellectual disability. The study included ten (10) pupils. While the other five pupils comprised the control group, they did not receive any intervention strategy. Five of the ten pupils were in the experimental group and received an intervention package. The instrument was reliable with a reliability index of 0.85 and was valid for its intended use in measuring the required area. Six weeks were spent on the treatment. The t-test for independent samples was used to examine the treatment results. Results: The study's findings showed that parents had an impact on their children's cognitive development and abilities, and special educators had a significant impact on a child's ability to remain in school. Limitations: The researchers suggest that cognitive skill instruction should be implemented in educational settings. Contribution: This research will provide special educators, parents, and the government with information on how well cognitive skills can help students with mild intellectual disability retain information.
Pendidikan Islam Berbasis Pengembangan Masyarakat
Authors: Nursalim Eko , Hasan Hasan
Published: September 2023

Penelitian ini dilakukan adanya persoalan lembaga pendidikan termasuk di dalam pendidikan Islam yang salah satunya memiliki tujuan mendidik seluruh  masyarakat sehingga siap menghadapi problem atau permasalahan yang terjadi dan dapat menyelesaikannya dengan baik. Namun pada kenyataannya,  pendidikan  Islam di Indonesia  sejauh ini gagal  memberikan solusi bagi seluruh masyarakat, khususnya bagi umat Islam. Kondisi seperti  ini menciptakan sikap pesimis yang ditemukan di masyarakat dan membuat sistem pendidikan Islam  semakin terpinggirkan. Seharusnya semua kegiatan pendidikan ditujukan untuk melibatkan semua tingkatan komponen pendidikan, termasuk masyarakat. Namun, pada kenyataannya, masyarakat tidak mendapatkan tempat yang layak sebagai subjek yang memainkan peran penting dalam setiap kebijakan pendidikan. Kajian library research digunakan dalam penelitian ini, dimana peneliti menganalisis serta menelaah sumber pustaka yang berkaitan dengan pendidikan islam yang berbasis pada pengembangan masyarakat berdasarkan temuan dan teori dari berbagai literatur. Hasilnya pendidikan islam berbasis pengembangan masyarakat muncul dari keinginan masyarakat untuk memperdalam dan menambah ilmu pengetahuan islam, kelebihannya yaitu adanya motivasi beragama, semangat mengajarkan ilmu pengetahuan dan kemandirian dalam mengelola. Sedangkan kelemahannya terdapat pada keadaan finansial, manajemen kelembagaan dan pengembangan program unggulan.
Assessing Stress Levels and Influencing Factors for Faculty in Higher Education Institutions: A Case Study in Visakhapatnam of Andhra Pradesh
Authors:   Department of Management Studies, N.S Raju Institute of Technology, Autonomous, (Visakhapatnam) India, Rao Tedlapu Narayana , Subbarao Dr. Uppu Venkata ,   Department of Basic Sciences, N.S Raju Institute of Technology, Autonomous, (Visakhapatnam) India., Bala Dr. Vantaku ,   Department of Management Studies, N.S Raju Institute of Technology, Autonomous, (Visakhapatnam) India., Mezgebe Mehari Berhe ,   Department of Statistics, Adigrat University, Adigrat, Ethiopia
Published: September 2023

Stress is common among faculty during their college work. They can often experience high levels of stress because they frequently encounter various challenges at their workplace that can negatively affect their academic performance and general health. However, familiar sources of stress among faculty working in higher education sectors have not been clearly defined. Therefore, this study aimed to determine the familiar sources of stress among them in the region of Visakhapatnam. One of the northeastern coastal districts of Andhra Pradesh belongs to south India. This was a descriptive, cross-sectional study. The convenience sample included 85 faculties working in various higher education colleges in Visakhapatnam. The Faculty Stress Index (FSI) was used to describe the sources of stress from four domains: academic load, financial concerns, personal problems, and interface worries. The majority (60%) of the participants were aged between 31 and 60. The primary source of stress was academic load and interface teaching and research responsibilities (M = 3.74, SD = 1.156), followed by financial worries (M = 3.73, SD = 1.285), lack of appreciation regarding their contributions (M =3.61, SD = 1.319), and personal problems to excel in teaching evaluations (M = 2.75, SD = 1.272). The faculty’s stress resulting from their academic load was higher than the other sources of stress, and it was related to a large number of materials like targeted assignments, extended working hours, or other research-related works required for faculty. It is suggested to create a positive and supportive work environment at the workplace, implement strategies for workload management, and professional development opportunities.
The Impact of Race on Healthcare Coverage for Women in Louisiana and Mississippi
Authors:   Doctoral Student, Department of Business, Hampton University, Hampton, VA, USA., Patton Theresa T , Najd Dr. Nizam ,   Department of Business, Hampton University, Hampton, VA, USA., Ford Dr. Juritsa ,   Department of Business, Hampton University, Hampton, VA, USA.
Published: September 2023

It is crucial to confront the problem of health inequity that Black women are experiencing. Black women have a higher risk of pregnancy-related complications and experience worse outcomes in cardiovascular diseases, diabetes, high blood pressure, and mental health. Even with the Affordable Care Act, Black women still may not have access to affordable health insurance. This study examines the impact of race on healthcare coverage for women in Louisiana, which expanded Medicaid, and Mississippi, which did not. The study uses a quasi-experimental analysis to compare insurance coverage across states using publicly available data from the 2010 and 2021 American Community Survey. A chi-squared test determined a significant correlation between race and insurance type in both states. Insurance coverage for Black women increased in Louisiana. Women in Mississippi made slight gains even without Medicaid expansion. Despite these gains, racial disparity among women persists. Policymakers should strive for affordable healthcare for all women, regardless of race and geography.
An Optimized and Privacy-Preserving System Architecture for Effective Voice Authentication over Wireless Network
Authors:   Associate Professor, Department of Computer Science and Engineering, Assam Down Town University, Guwahati (Assam), India., Deka Dr. Aniruddha , Misra Dr. Debashis Dev ,   Associate Professor, Department of Computer Science and Engineering, Assam Down Town University, Guwahati (Assam), India.
Published: September 2023

The speaker authentication systems assist in determining the identity of speaker in audio through distinctive voice characteristics. Accurate speaker authentication over wireless network is becoming more challenging due to phishing assaults over the network. There have been constructed multiple kinds of speech authentication models to employ in multiple applications where voice authentication is a primary focus for user identity verification. However, explored voice authentication models have some limitations related to accuracy and phishing assaults in real-time over wireless network. In research, optimized and privacy-preserving system architecture for effective speaker authentication over a wireless network has been proposed to accurately identify the speaker voice in real-time and prevent phishing assaults over network in more accurate manner. The proposed system achieved very good performance metrics measured accuracy, precision, and recall and the F1 score of the proposed model were98.91%, 96.43%, 95.37%, and 97.99%, respectively. The measured training losses on the epoch 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 were 2.4, 2.1, 1.8, 1.5, 1.2, 0.9, 0.6, 0.3, 0.3, 0.3, and 0.2, respectively. Also, the measured testing losses on the epoch of 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 were 2.2, 2, 1.5, 1.4, 1.1, 0.8, 0.8, 0.7, 0.4, 0.1 and 0.1, respectively. Voice authentication over wireless networks is serious issue due to various phishing attacks and inaccuracy in voice identification. Therefore, this requires huge attention for further research in this field to develop less computationally complex speech authentication systems.
A Very Large Cardiac Channel Data Database (VLCD) used to Evaluate Global Image Coherence (GIC) as an In-Vivo Image Quality Metric
Authors: Rindal Ole Marius Hoel , Bjåstad Tore Grüner , Espeland Torvald , Berg Erik Andreas Rye , Måsøy Svein-Erik
Published: September 2023

Ultrasound image quality is of utmost importance for a clinician to reach a correct diagnosis. Conventionally, image quality is evaluated using metrics to determine the contrast and resolution. These metrics requires localization of specific regions and targets in the image such as a region of interest (ROI), a background region, and or, a point scatterer. Such objects can all be difficult to identify in in-vivo images, especially for automatic evaluation of image quality in large amounts of data.

Using a matrix array probe, we have recorded a Very Large cardiac Channel data Database (VLCD) to evaluate coherence as an in-vivo image quality metric.  The VLCD consists of 33 280 individual image frames from 538 recordings of 106 patients. We also introduce a Global Image Coherence (GIC), an in-vivo image quality metric that does not require any identified ROI since it is defined as an average coherence value calculated from all the data pixels used to form the image, below a pre-selected range. The GIC is shown to be a quantitative metric for in-vivo image quality when applied to the VLCD. We demonstrate, on a subset of the dataset, that the GIC correlates well with the conventional metrics contrast ratio (CR) and the generalized contrast-to-noise ratio (gCNR) with R=0.74 (p<0.005) and R=0.62 (p<0.005) respectively. 

There exists multiple methods to estimate the coherence of the received signal across the ultrasound array. We further show that all coherence measures investigated in this study are highly correlated (R>0.9, p<0.001) when applied to the VLCD. Thus, even though there are differences in the implementation of coherence measures, all quantify the similarity of the signal across the array and can be averaged into a GIC to evaluate image quality automatically and quantitatively.
A Deep Neural Network Modeling Methodology for Efficient EMC Assessment of Shielding Enclosures using MECA-Generated RCS Training Data
Authors: Choupanzadeh Rasul , Zadehgol Ata
Published: September 2023

We develop a deep neural network (DNN) modeling methodology to predict the radiated emissions of a shielding enclosure in terms of its aperture attributes including aperture shape, size, pitch, and quantity. The target structure is the inside of a three-dimensional (3D) enclosure comprised of perfect electric conductor (PEC) boundaries with dimensions of a desktop personal computer (PC) containing thermal dissipation apertures on the surface of its back panel. The DNN model is developed to compute the radar cross section (RCS) as a function of aperture attributes and to enable the efficient assessment of the PC’s electromagnetic compatibility (EMC).

To generate training data for machine learning (ML), we implement the modified equivalent current approximation (MECA) method and validate it against analytical methods and a commercial field-solver. We use MECA to compute RCS data for approximately 55,000 experiments across a wide range of aperture attributes. We examine numerous DNN models across parameters such as number of layers and nodes per layer, activation function, optimization algorithm, loss function, batch size, and epoch, to identify the optimal DNN model based on (a) accuracy, (b) computation time, and (c) memory usage. Results show excellent agreement between MECA and DNN predictions for previously unseen cases.
Pars-HaO: Hate and Offensive Language Detection on Persian Tweets Using Machine Learning and Deep Learning
Authors: Karami Sheykhlan Mohammad , Abdoljabbar Saleh Kheiri , Karimpour Jaber
Published: September 2023

As social networks continue to gain widespread popularity, an urgent requirement arises to automatically identify and detect offensive language and hate speech. While there is a wealth of research and datasets available for English in this domain, there is currently a scarcity of research and datasets focused on identifying hate speech and offensive language in Persian text. This article introduces a 3-class dataset named Pars-HaO, consisting of 8013 tweets, to fill the gap in existing research. We collected the dataset by combining comments from pages that are more exposed to hate speech and using a keyword-based approach. Three annotators then labeled the tweets. In this study, we employed a combination of the Convolutional Neural Network (CNN) model and four widely recognized machine learning models, namely Support Vector Machine (SVM) and Logistic Regression (LR), Random Forest (RF), and Decision Tree (DT) as a baseline. Then, we compared the base models with Long Short-Term Memory(LSTM), Bidirectional LSTM (BiLSTM), and CNN models, each trained using the output of the last hidden state of Bidirectional Encoder Representations from Transformers (BERT). Experimental results on the Pars HaO dataset demonstrated that the BERT with BiLSTM technique yielded the best outcome, achieving a macro F1-score of 70%.

 
An Improved Alzheimer-Like Disease Computational Model via Delayed Hopfield Network with Lurie Control System for Healing
Authors: Pinheiro Rafae , Colón Diego , Fonseca-Pinto Rui
Published: September 2023

Alzheimer's disease (AD) is a degenerative neurological condition that impacts millions of individuals across the globe and remains without a healing. In the search for new possibilities of treatments for this terrible disease, this work presents the improved Alzheimer-like  disease (IALD) model and connects it to a new control technique that establishes computationally modeled memory healing for a condition similar to AD.  The modeling proceeds  from recent etiological and pathogenetic hypotheses of AD related to amyloid precursor protein (APP). For the IALD model, a continuous Hopfield neural network (HNN) with delay is used. In the control, techniques from the area of robust control are used, which is based on new discoveries in Lurie control systems. In addition, this paper reviews the development of the Alzheimer-Like Disease (ALD) model, as well as, the relationship of Hopfield's network with Lurie system. Simulations are executed to validate the model and to show the efficacy of applying a new theorem from Lurie's problem. With the results presented, this work puts to good use, from the \textit{in silico} IALD model, the possibility of developing microcontrollers for future \textit{in vivo} experiments using a control system capable of mitigating the effect of memory loss arising from AD.
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
Authors: Sharma Animesh , Asrar ul haq Syed , darak sumit
Published: September 2023

The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. Channel estimation (CE) is one of the critical signal processing units of the receiver PHY. Recent DLbased CE approaches have outperformed state-of-the-art statistical approaches such as least-square-based CE (LS) and linear minimum mean square error-based CE (LMMSE), requiring hardware-friendly arithmetic computations than LMMSE. The first contribution is optimizing the existing state-of-the-art CE algorithms for realization on system-on-chip (SoC) via hardwaresoftware co-design and fixed point analysis, followed by performance comparison for various signal-to-noise ratios (SNR) and wireless channels. We highlight the high complexity, execution time, and power consumption of existing DL-based CE and LMMSE approaches, along with the poor performance of the LS. We develop a novel compute-efficient LS-augmented interpolated deep neural network (LSiDNN) based CE algorithm and realize it on SoC. We demonstrate substantial savings in complexity and execution time without significant degradation in functional accuracy. Specifically, the proposed LSiDNN approach offers 88-90% lower execution time and 38-85% lower resources than state-of-the-art DL-based CE. LSiDNN significantly outperforms LMMSE, and the gain improves with increased mobility. It also offers 75% lower execution time and 90-94% lower resource utilization than LMMSE

 
Estimating Black Carbon Levels with Proxy Variables and Low-Cost Sensors
Authors: Liu Xiaoli , Concas Francesco , Motlagh Naser Hossein , Zaidan Martha Arbayani , Fung Pak Lun , Varjonen Samu , Niemi Jarkko , Timonen Hilkka , Hussein Tareq , Petäjä Tuukka , Kulmala Markku , Nurmi Petteri , Tarkoma Sasu
Published: September 2023

We develop a portable and affordable solution for estimating personal exposure to black carbon (BC) using low- cost sensors and machine learning. Our approach uses other pollutants and environmental variables as proxies for estimating the concentrations of BC and combines this with machine learning based sensor calibration to improve the quality of the inputs that are used as proxies in the modeling. We extensively validate the feasibility of our approach and demonstrate its benefits with benchmarks conducted on real world data from two different urban locations with different population densities and characteristics. Our results demonstrate that our approach can accurately estimate BC (R2 higher than 0.9) without relying on a dedicated sensor. The results also highlight how calibration is essential for ensuring accurate modeling on low-cost sensor measurements. Our results offer a novel affordable and portable solution that can be used to estimate personal exposure to BC and, more generally, demonstrate how low-cost sensors and proxy modeling can increase the spatiotemporal scale at which information about BC level is available. 
Convergence Analysis for Enhanced Reliability and Accuracy of Short-Circuit Fault Detection in Three-Phase Induction Motors Using data integration with Extended Kalman Filter
Authors: Saeedinia1, Samaneh Alsadat , Mohaghegh Mahsa , Ebadollahi Saeed
Published: September 2023

The reliability and accuracy of detecting faults in induction motors are crucial for reducing maintenance costs, increasing safety, and improving efficiency in industrial applications. This paper proposes a method to enhance the reliability and accuracy of detecting short-circuit faults (SCF) in three-phase induction motors (IMs) by fusing data with the Extended Kalman Filter (EKF). The method addresses the challenge of selecting appropriate variances of measurement noise and process noise affecting EKF convergence by proposing a new algorithm for updating the process noise covariance based on EKF convergence conditions in decentralized data integration (DI). The proposed algorithm ensures convergence and improves fault detection accuracy, as demonstrated by comparing it to using only one estimator. This method shows promise in improving the reliability and accuracy of fault detection in induction motors, leading to significant benefits in industrial applications
Transient Voltage Stability Analysis and Enhancement of Grid-Following Converters Considering Current Limitation
Authors: Xin Huanhai , liu xinyu , zheng di
Published: September 2023

High penetration of renewable energy resources is widely connected to the grid via grid-following converters, which may threaten the transient voltage stability of the system. However, most researchers only pay attention to the transient voltage stability of inductive motors in the electromechanical transient time scale, and the electromagnetic dynamics of voltage source converters (VSCs) are ignored for simplicity. Therefore, the potential transient voltage instability risk of the system in the electromagnetic transient time scale is concealed. To fill this gap, the transient voltage instability mechanisms for grid-following VSCs with various control strategies are revealed, which can be concluded that the positive-feedback process after the state variable exceeds the unstable equilibrium point is the main cause. Then, the effect of the current limitation of VSCs on the transient voltage stability and transient performance of the system is theoretically illustrated. On this basis, the indexes for transient voltage stability margin considering the active power recovery process are presented, and a robust current limitation based stability enhancement scheme is proposed to stabilize the system. Simulation results verify the correctness of the theoretical analysis and the effectiveness of the proposed control strategies.
Phase Identification in Power Distribution Systems via Feature Engineering
Authors: Zaragoza Nicholas , Chaoui Hicham , Nutter Brian , Rao Vittal
Published: September 2023

Phase identification is the problem of determining the phase connection of loads in a power distribution system. In modern times, utility operators will generally accomplish this using smart meter data that usually requires some form of feature engineering to achieve practical phase identification using data-driven methods. Feature engineering is essential for voltage magnitude data containing noise, seasonality, and trend. Crucial components of a feature engineering pipeline are presented to perform linear denoising with Singular Value Decomposition, filtering of the denoised data to remove the seasonality and trend, and fuse multiple meter channels. We use the results of the feature engineering to perform phase label correction, a subproblem of phase identification. The authors generate a synthetic dataset from the meshed IEEE 342-Node test feeder circuit with the 2021 Electric Reliability Council of Texas load profiles to evaluate techniques. Our results show that denoising is quite effective for improving phase identification accuracy in the presence of measurement noise. We present some new insight into filtering voltage measurement data to improve accuracy, as well as eliminate the need to determine salient frequencies. We also present the application of a data channel fusion technique that is novel to the phase identification literature. This technique enhances phase identification in cases where there are both wye and delta-connected loads present.
Novel Nano-Scale Computing Unit for the IoBNT: Concept and Practical Considerations
Authors: Angerbauer Stefan , Enzenhofer Franz , Pankratz Tobias , Hamidović Medina , Springer Andreas , Haselmayr Werner
Published: September 2023

The Internet of Bio-Nano Things (IoBNT) is a novel framework that has the potential to enable transformative applications in healthcare and nano-medicine. It consists of artificial or natural tiny devices, so-called Bio Nano Things (BNTs), that can be placed in the human body to carry out specific tasks (e.g., sensing) and are connected to the internet. However, due to their small size their computation capabilities are limited, which restricts their ability to process data and make decision directly in the human body. Thus, we address this issue and propose a novel nano-scale computing architecture that performs matrix multiplications, which is one of the most important operations in signal processing and machine learning. The computation principle is based on diffusion-based propagation between connected compartments and chemical reactions within some compartments. The weights of the matrix can be set independently through adjusting the volume of the compartments. We present a stochastic and a dynamical model of the proposed structure. The stochastic model provides an analytical solution for the input-output relation in the steady state, assuming slow reaction rates. The dynamical model provides important insights into the systems temporal dynamics. Finally, micro- and mesoscopic simulations verify the proposed approach. 
Species characteristics of bacteria of the genus Lactobacillus identified in different loci of the human body (literature review)
Authors: Tashlanova Victoriya V. , Kataeva Lyubov V. , Stepanova Tatyana F.
Published: September 2023

Bacteria of the genus Lactobacillus are inhabitants of the surfaces of human mucous membranes, such as the oral cavity, digestive and urogenital tracts. Moreover, there is evidence that they are found in breast milk and sputum. In view of the many genetic differences, metabolic abilities and other functions of the species included in this genus, a revision of the classification of the genus Lactobacillus is proposed in 2020. Recently, in the scientific medical literature, the issues related to the influence of lactobacilli on the human microbiome, maintaining health and preventing pathological conditions of the body have been actively discussed. This review is devoted to the functional characteristics and analysis of the species diversity of Lactobacillus spp. circulating in various body systems, their participation in the formation and regulation of defense mechanisms. However, negative impacts are also noted, most often associated with the transfer of genetic determinants of resistance to antimicrobial drugs from lactobacilli to gram-negative microbiota.
Antimicrobial resistance and virulence of carbapenem-resistant Klebsiella pneumoniae strains isolated from children in intensive care and surgical units
Authors: Novikova Irina E. , Sadeeva Zulfirya Z. , Alyabyeva Natalya M. , Samoylova Ekaterina A. , Karaseva Olga V. , Yanyushkina Olga G. , Lazareva Anna V.
Published: September 2023

Introduction. Infections associated with carbapenem-resistant (Carba-R) Klebsiella pneumoniae (KP) are a serious public health problem because they lead to an increase in hospital stays, treatment costs, and an increase in patient morbidity and mortality.
Aim to characterize antimicrobial resistance, virulence factors and genotypes of Carba-R KP strains isolated from patients in intensive care and surgical units.
Materials and methods. In total, 455 KP strains that were resistant to meropenem and/or imipenem, or susceptible to meropenem and/or imipenem at increased exposure were collected in 20182020. For further analysis, total 90 KP strains isolated from clinically significant sites blood/сerebrospinal fluid/urine/lower respiratory tract/wounds/abdominal cavity of patients in intensive care and surgical units were selected. Antibiotic susceptibility was determined using the broth microdilution method. Carbapenemase genes were detected by real-time PCR. The virulence genes and K1/K2 capsular serotypes were determined by multiplex PCR. Sequence types (ST) were determined using multilocus sequence typing.
Results. Most of the selected isolates (97%) were recognized as extensively drug-resistant pathogens, three isolates were classified as multidrug-resistant pathogens. The major determinant of carbapenem resistance was blaOXA-48-like (53%), blaNDM-group was detected in 13% strains, a combination of blaNDM-group and blaOXA-48-like genes was found in 31% isolates. Two isolates harbored blaKPC-group. Most of the isolates had the virulence genes entB (100%), mrkD (99%), and ybtS (78%). The iutA gene was found in 16% strains. Four isolates had kfu gene and four strains carried rmpA gene. The K2 capsule type was determined in 13% isolates. Four ST dominated in the studied population: ST395 (26%), ST2975 (19%), ST198 (12%) and ST307 (11%).
Conclusion. Carba-R KP isolates had a high level of resistance not only to carbapenems, but also to antibiotics of other classes. Carbapenem resistance was mainly associated with OXA-48 carbapenemase. The entB, mrkD and ybtS genes were the main determinants of virulence. The epidemically successful clones CG395 and CG307 were the predominant genetic lines. Resistance to antimicrobials was combined with the presence of various virulence factors. The data obtained are important for the epidemiological surveillance of the spread of KP and have important clinical implications.