bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalizability and Clinical Implications of Electrocardiogram Denoising with Cardio-NAFNet (Preprint)
Authors: Lim Chan , Chung Yunsung , Hamm Jihun , Ding Zhengming , Mekhael Mario , Noujaim Charbel , Assaf Ala , Younes Hadi , Chouman Nour , Makan Noor , Donnellan Eoin , Marrouche Nassir
Published: February 2023

UNSTRUCTURED

The rise of mobile electrocardiogram (ECG) devices came with the rise of frequent large magnitudes of noise in their recordings. Several artificial intelligence (AI) models have had great success in denoising, but the model’s generalizability and the enhancement in clinical interpretability are still questionable. We propose Cardio-NAFNet, a novel AI-based approach to ECG denoising by employing a modified version of Non-Linear Activation Free Network (NAFNET). We conducted three experiments for quantitative and qualitative evaluation of denoising, clinical implications and generalizability. In the first experiment, Cardio-NAFNet achieved 53.74dB average signal to noise ratio across varying magnitude of noise in beat-to-beat denoising, which is a significant improvement over the current state of the art model in ECG denoising. In the second experiment, we tested the enhancement in clinical interpretation of the ECG signals by utilizing a pretrained ECG classifier using 8 second long noise-free ECG signals. When the classifier was tested using noisy ECG signals and their denoised counterparts, Cardio-NAFNet's denoised signals provided 26% boost in classification results. Lastly, we provide an external validation dataset composed of single-lead mobile ECG signals along with signal quality evaluation from physician experts. Our paper suggests a settling method to capture and reconstruct critical features of ECG signals not only in terms of quantitative evaluation, but also through generalizable qualitative evaluation.
This is test MS 15 Feb 2023 (Preprint)
Authors: Account Developer
Published: February 2023

UNSTRUCTURED

This is test MS 15 Feb 2023
Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey (Preprint)
Authors: Jagemann Inga , Wensing Ole , Stegemann Manuel , Hirschfeld Gerrit
Published: February 2023

BACKGROUND

There is great interest in using artificial intelligence (AI) to screen for skin cancer. This is fueled by a rising incidence of skin cancer and an increasing scarcity of trained dermatologists. AI systems capable of identifying melanoma could save lives, enable immediate access to screenings, and reduce unnecessary care and health care costs. While such AI-based systems are useful from a public health perspective, past research has shown that individual patients are very hesitant about being examined by an AI system.

OBJECTIVE

The aim of this study was two-fold: (1) to determine the relative importance of the provider (in-person physician, physician via teledermatology, AI, personalized AI), costs of screening (free, 10€, 25€, 40€; 1€=US $1.09), and waiting time (immediate, 1 day, 1 week, 4 weeks) as attributes contributing to patients’ choices of a particular mode of skin cancer screening; and (2) to investigate whether sociodemographic characteristics, especially age, were systematically related to participants’ individual choices.

METHODS

A choice-based conjoint analysis was used to examine the acceptance of medical AI for a skin cancer screening from the patient’s perspective. Participants responded to 12 choice sets, each containing three screening variants, where each variant was described through the attributes of provider, costs, and waiting time. Furthermore, the impacts of sociodemographic characteristics (age, gender, income, job status, and educational background) on the choices were assessed.

RESULTS

Among the 383 clicks on the survey link, a total of 126 (32.9%) respondents completed the online survey. The conjoint analysis showed that the three attributes had more or less equal importance in contributing to the participants’ choices, with provider being the most important attribute. Inspecting the individual part-worths of conjoint attributes showed that treatment by a physician was the most preferred modality, followed by electronic consultation with a physician and personalized AI; the lowest scores were found for the three AI levels. Concerning the relationship between sociodemographic characteristics and relative importance, only age showed a significant positive association to the importance of the attribute provider (r=0.21, P=.02), in which younger participants put less importance on the provider than older participants. All other correlations were not significant.

CONCLUSIONS

This study adds to the growing body of research using choice-based experiments to investigate the acceptance of AI in health contexts. Future studies are needed to explore the reasons why AI is accepted or rejected and whether sociodemographic characteristics are associated with this decision.
Providing Self-Led Mental Health Support Through an Artificial Intelligence–Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care (Preprint)
Authors: van der Schyff Emma L , Ridout Brad , Amon Krestina L , Forsyth Rowena , Campbell Andrew J
Published: February 2023

UNSTRUCTURED

Digital mental health services are becoming increasingly valuable for addressing the global public health burden of mental ill-health. There is significant demand for scalable and effective web-based mental health services. Artificial intelligence (AI) has the potential to improve mental health through the deployment of chatbots. These chatbots can provide round-the-clock support and triage individuals who are reluctant to access traditional health care due to stigma. The aim of this viewpoint paper is to consider the feasibility of AI-powered platforms to support mental well-being. The Leora model is considered a model with the potential to provide mental health support. Leora is a conversational agent that uses AI to engage in conversations with users about their mental health and provide support for minimal-to-mild symptoms of anxiety and depression. The tool is designed to be accessible, personalized, and discreet, offering strategies for promoting well-being and acting as a web-based self-care coach. Across all AI-powered mental health services, there are several challenges in the ethical development and deployment of AI in mental health treatment, including trust and transparency, bias and health inequity, and the potential for negative consequences. To ensure the effective and ethical use of AI in mental health care, researchers must carefully consider these challenges and engage with key stakeholders to provide high-quality mental health support. Validation of the Leora platform through rigorous user testing will be the next step in ensuring the model is effective.
The Effect of Early Childhood Education Institution's Professional Support Environment on Early Childhood Teachers' Digital Play Support Competencies
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, YI UN YOUNG , CHOI YANG MI
Published: February 2023

Objectives The effect of the professional support environment of early childhood education institutions on the digital play support competency of early childhood teachers was analyzed.
Methods A survey was conducted on 844 teachers working at daycare centers and kindergartens in early childhood educational institutions in Seoul and Gyeonggi Province, and SPSS 23.0 and AMOS 23.0 were used to analyze descriptive statistics, reliability and confirmatory factor analysis, and structural equation models.
Results First, it was found that there was a positive (+) correlation between the professional support environment of early childhood education institutions, early childhood teachers' perception of play rights, perceived usefulness of digital play, and digital play support competency. In addition, it was found that the professional support environment of early childhood education institutions recognized by early childhood teachers had a statistically significant positive (+) effect on the perceived usefulness of digital play. Second, the mediating effect of perception of play rights and perceived usefulness of digital play was proved in the relationship between professionalism support environment and digital play support competency.
Conclusions As a result of the study, the perceived usefulness of digital play as a mediator to increase digital play support competency was found to have a large effect. Therefore, it is necessary to seek ways to increase the perceived usefulness of digital play by early childhood teachers and the positive perception of the right to play.
The Double Mediating Effect of Distress Intolerance and Non-Suicidal Self-Injury Expectation outcomes between the Effect of Invalidating Childhood Environment on Adolescent Non-Suicidal Self-Injury
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Song Ji Sook , Khu Bon Young
Published: February 2023

Objectives This study was conducted to conducted the relationship between adolescents' childhood invalidating environment, destress intolerance, non-suicidal self-injury expectation, and non-suicidal self-injury, and to determine whether destress intolerance and non-suicidal self-injury expectation as a double medium between adolescents' childhood invalidating environment and non-suicidal self-injury.
Methods For this purpose, 737 copies of the questionnaire were collected from 13 ages to 19 ages, and the collected data were analyzed using Mediated Analysis with Hierarchical Regression for IBM SPSS (Statistics Package for the Social Science ver.22.0) and PROCESS macro.
Results The results of the study are as follows: First, the distress intolerance showed a positive partial mediating effect between childhood invalidating environment and non-suicidal self-injury. Second, there was a positive partial mediating effect of non-suicidal self-injury outcome expectation between childhood invalidating environment and non-suicidal self-injury. Third, the dual mediating effect of distress intolerance and non-suicidal self-injury outcome expectation between childhood invalidating environment and non-suicidal self-injury was significant in a positive (+) direction.
Conclusions In this way, it was confirmed that the destress intolerance and the expectation of non-suicidal self-injury in the relationship between childhood invalidating environment and non-suicidal self-injury play a role in increasing non-suicidal self-injury by double mediation. Based on this, a plan for prevention of adolescent non-suicidal self-injury was presented.
Research on Industry-Academic Cooperation: Comparative analysis before and after COVID-19 through text mining analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kwon Sun-Hee
Published: February 2023

Objectives This study aims to review the aspects of domestic industry-academic cooperation by keyword network analysis of web data from 2018 to 2021, focusing on impacts of each performer-government, university, industry-on the industry-academia cooperation(IAC) system before and after the COVID-19 phenomenon.
Methods Keyword network, keyword centrality, ego network, and topic modelling analysis were conducted to examine 1) each influence from the government, university, industry on IAC system, 2) changes its influence after the COVID-19 phenomenon, and 3) the degree to IAC policies were reflected in the aspects of IAC, analysing 5,000 documents collected from web news and blogs.
Results As a result of keyword network analysis, university, industry, and support project were found to be the top frequent keywords and also at the center of keywords, showing the characteristics of IAC that industry and universities focus on jointly designing and operating government-supported IAC programs. Analysis of ego networks shows that since COVID-19, industry and government networks have grown in size, while recruitment and field practice networks have decreased in size. Keywords such as job creation, SME support, and new industrial talent training, which are major government industry-academic cooperation policies during the text collection period, were partially derived as major areas in topic modeling analysis, but showed different patterns before and after COVID-19.
Conclusions Government, university, industry were found to be the key players in determining the aspects of the IAC system, and the most influential subject was university over the past four years, actively cooperating with companies in the educational field through government-led development projects. The government's IAC policy for job creation was also reflected in the IAC aspect, but it seems to be limited by the COVID-19 factor. Implications for the role of government, university, and industry in sustaining IAC are discussed.
Re-exploring the Factor Structure of the Korean Self-Compassion Scale-Youth(K-SCS-Y): Using Factor Analysis with Rotation to a Partially Specified Target
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ahn Taeyong
Published: February 2023

Objectives This study re-examined the factor structure of the K-SCS-Y(Park & Ahn, 2022), which validated the Self-Compassion Scale-Youth(SCS-Y)(Neff et al., 2020) for Korean adolescents.
Methods To this end, a questionnaire targeting 248 middle school students in the Busan area was analyzed through traditional exploratory factor analysis and factor analysis with rotation to a partially specified target to search for the optimal factor model. Factor Analysis with Rotation to a Partially Specified Target was based on the factor structure of the Self-Compassion Scale: SCS-Y(Neff et al., 2020); items that were index variables for each factor were estimated as free parameters, and other items were restricted to numbers close to 0.
Results First, as a result of the traditional exploratory factor analysis, both the 5-factor and 6-factor models of K-SCS-Y were found to be inappropriate. Second, as a result of factor analysis with rotation to a partially specified target based on the factor structure of SCS-Y(Neff et al., 2020), the indicator variable items for each factor were almost identical to those of SCS-Y.
Conclusions As the factor structure of K-SCS-Y, the same 6-factor structure as Neff's(2003) concept of self-compassion was confirmed. This result is expected to lead to the activation of self-compassion research targeting adolescents.
Development of the College Life Adjustment Scale Based on Stress-Vulnerability Model
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Jeongmi , Kim Sora , Park Junwoo , Lim Jongmin
Published: February 2023

Objectives The purpose of this study was to develop a college life adjustment scale based on the stress-vulnerability model, focusing on the students of Y university.
Methods Based on the theoretical background of the model, this scale was composed of three dimensions: college life stress, psychological coping resources, and mental health, and a preliminary scale was developed with questions for each dimension and sub-factors based on previous research. The developed preliminary scale was conducted on 382 college students, and the final questions were selected through factor analysis. A main survey was conducted on 539 college students for the selected final questions, and the validity, criterion validity, and reliability of the factor structure were confirmed.
Results As a result of the exploratory factor analysis, 4 sub-factors were derived for the college life stress area, 5 psychological coping resource areas, and 4 mental health areas. As a result of the confirmatory factor analysis, it was found that the factor structure of the modified model, which assumes the correlation between error terms in all three areas, explained the data reasonably. In addition, the mental health area of this scale showed a significant positive correlation with BSI-18. As a result of checking the internal consistency of the items, the reliability of sub-factors of all areas except avoidance coping in the psychological coping resource area was significant.
Conclusions The above results show that the scale newly developed in this study reliably and reasonably measures college life stress, psychological coping resources, and mental health of college students.
Monitoring the State of the Muslim Ummah of the Orenburg Region in 2022
Authors: Denisov D. N.
Published: February 2023

The article provides a comprehensive analysis of the state of the Muslim ummah of the Orenburg region in 2022, the main directions of its cultural, educational, youth-oriented, social and charitable work. It is shown how with the beginning of the Special military operation of the Russian Armed Forces in Ukraine the Islamic community of the region was consolidated for solving urgent problems of military-patriotic and social service. Along with the emergence of new challenges and potential hotbeds of tension and conflict, the ongoing threats of radicalization and extremism have also manifested themselves.
Threshold of currency devaluation and oil price movements that stimulates industrial production
Authors: Umoru David , Effiong Solomon Edem , Ugbaka Malachy Ashywel , Iyaji Danjuma , Oyegun Gbenga , Ofie Francis Ejime , Eshemogie Kasimu , Tizhe Anna Nuhu , Hussaini Rafat
Published: February 2023

Even though oil prices are not subject to manipulations by individual countries, instability in the same generates shocks that other variables respond to, yet amid these shocks, more units of local currencies in developing countries are needed to acquire foreign inputs for production. Fluctuating oil prices consequently imply that high prices would increase the cost of production and ultimately reduce the purchasing power of industries. This study ascertains threshold effects of exchange rate devaluation and changes in oil prices on the industrial output of thirty developing countries using threshold and nonlinear autoregressive distributed lag (NARDL) regressions. Results revealed percentage rise above the devaluation threshold caused a fall in production by 4.36 percent. Oil prices within this devaluation region negatively affected output. Below and within the devaluation threshold of 0.692, the relationship patterns switch with oil price variability attracting positive and significant effects, while devaluation impacted industrial output positively with a substantial magnitude of 0.334. A higher devaluation was met with lower output in the industrial sector. In this higher region, increased oil prices weaken devaluation effects by 91.882. When a currency falls more than it is obtainable in the threshold (6.9 percent), oil prices cut output by a larger magnitude than it stimulated positively when the devaluation rate did not surpass the threshold value.
Pleasant and unpleasant emotions induced by music: A meta-analysis of functional neuroimaging studies
Authors: Fuentes-Sánchez Nieves , Espino-Payá Alejandro , Prantner Sabine , Pastor M. Carmen , Junghöfer Markus
Published: February 2023

Prior neuroimaging studies of music-evoked emotions have shown that
music listening involves the activation of cortical and subcortical
regions. However, these regions could be differentially activated by
music stimuli with different affective valence. To better understand the
neural correlates involved in the processing of pleasant and unpleasant
emotions induced by music, we conducted a quantitative activation
likelihood estimate (ALE) meta-analysis. We performed separate ALE
analyses for the overall brain activation during music listening (63
studies), for the brain activation during listening to unpleasant music
(23 studies) and for the brain activation while listening to pleasant
music (21 studies). Our results showed an activation of a range of
cortical and subcortical regions, including the amygdala, insula,
striatum, thalamus, parahippocampal gyrus, anterior cingulate gyrus and
superior temporal gyrus. Moreover, our findings showed that pleasant and
unpleasant music specifically activated different brain regions.
Particularly, unpleasant music activated the amygdala, hippocampus and
the anterior cingulate cortex, whereas pleasant music activated the
striatum, thalamus and the hippocampus. The identification of brain
networks preferentially activated during listening to pleasant and
unpleasant music provide useful clinical information for the development
of therapies in psychological disorders with emotion reactivity
problems.
Low-carbohydrate diet scores and mortality among adults with incident type 2 diabetes
Authors: Hu Yang , Liu Gang , Yu Edward , Wang Biqi , Wittenbecher Clemens , Manson JoAnn E. , Rimm Eric B. , Liang Liming , Rexrode Kathryn , Willett Walter C. , Hu Frank B. , Sun Qi
Published: February 2023

  

OBJECTIVE The present study aims to prospectively examine the association between post-diagnosis low carbohydrate diet (LCD) patterns and mortality among individuals with type 2 diabetes (T2D).

RSEARCH DESIGN AND METHODS Among participants with incident diabetes identified in the Nurses’ Health Study and Health Professionals Follow-Up Study, an overall total low carbohydrate diet score (TLCDS) was calculated based on the percentage of energy as total carbohydrates. In addition, vegetable (VLCDS), animal (ALCDS), healthy (HLCDS), and unhealthy LCDS (ULCDS) were further derived that emphasized different sources and quality of macronutrients. Multivariable-adjusted Cox model were used to assess the association between the LCDS and mortality.

RESULTS Among 10,101 incident T2D cases contributing 139,407 person-years during follow-up, we documented 4,595 deaths of which 1,389 cases were attributed to cardiovascular disease (CVD) and 881 to cancer. The pooled multivariable-adjusted hazard ratios (HRs, 95% CIs) of total mortality per 10 points increment of post-diagnosis LCDS were 0.87 (0.82,0.92) for TLCDS, 0.76 (0.71,0.82) for VLCDS, and 0.78 (0.73,0.84) for HLCDS. Both VLCDS and HLCDS were also associated with significantly lower CVD and cancer mortality. Each 10 points increase of TLCDS, VLCDS, and HLCDS from pre-diagnosis to post-diagnosis period was associated with 12% (7%, 17%), 25% (19%, 30%), and 25% (19%, 30%) lower total mortality, respectively. No significant associations were observed for ALCDS and ULCDS. 

CONCLUSIONS Among people with T2D, greater adherence to LCD patterns that emphasize high quality sources of macronutrients was significantly associated with lower total, cardiovascular, and cancer mortality. 
Malassezia restricta-mediated Lipoperoxidation: A Novel Trigger in Dandruff
Authors: Jourdain Roland , Moga Alain , Magiatis Prokopios , Fontanié Maxime , Velegraki Aristea , Papadimou Chrysanthi , Rahoul Valérie , Guéniche Audrey , Chopra Tarun , Gaitanis George
Published: February 2023

Dandruff is a common scalp disorder with multiple microbial and host-related factors contributing to its aetiology, including alterations in scalp sebum. Despite existing evidence that the yeast Malassezia restricta plays a key role in the onset of dandruff, the interplay of these factors is poorly understood. Recently, squalene monohydroperoxide and malondialdehyde were established as biomarkers of dandruff-afflicted scalp, highlighting the role of sebum lipoperoxidation in the triggering and maintenance of dandruff, although its mechanism of action is unknown. The current study provides evidence that M. restricta mediates sebum peroxidation, leading to production of squalene monohydroperoxide and malondialdehyde. Furthermore, in vitro data show that these lipoperoxidation products act on epidermal cells and alter the skin barrier. These results support the role of Malassezia restricta-induced lipoperoxides as triggers of dandruff, which suggests that blocking their production could be a novel anti-dandruff treatment approach.
Information system for converting audio in Ukrainian language into its textual representation using nlp methods and machine learning
Authors:   Lviv Polytechnic National University, Tyshchuk Yurii , Vysotska Victoria ,   Lviv Polytechnic National University, Vlasenko Olha ,   Zhytomyr Ivan Franko State University
Published: February 2023

Speech recognition involves various models, methods and algorithms for analysing and processing the user’s recorded voice. This allows people to control different systems that support one type of speech recognition. A speech-to-text conversion system is a type of speech recognition that uses spoken data for further processing. It also provides several stages for processing an audio file, which uses electroacoustic means, filtering algorithms in the audio file to isolate relevant sounds, electronic data arrays for the selected language, as well as mathematical models that make up the most likely words from phonemes. Thanks to the conversion of speech to text, people whose professions are closely related to typing a large amount of text on the keyboard, significantly speed up and facilitate the work process, as well as reduce the amount of stress. In addition, such systems help businesses, because the concept of remote work is becoming more and more popular, and therefore companies need tools to record and systematize meetings in the form of written text. The object of the research is the process of converting the Ukrainian-language text into a written one based on NLP and machine learning methods. The subject of the research is file processing algorithms for extracting relevant sounds and recognizing phonemes, as well as mathematical models for recognizing an array of phonemes as specific words. The purpose of the work is to design and develop an information system for converting audio Ukrainian-language text into written text based on the Ukrainian Speech-to-text Web application, which is a technology for accurate and easy analysis of Ukrainian-language audio files and their subsequent transcription into text. The application supports downloading files from the file system and recording using the microphone, as well as saving the analysed data. The article also describes the stages of design and the general typical architecture of the corresponding system for converting audio Ukrainian-language text into written text. According to the results of the experimental testing of the developed system, it was found that the number of words does not affect the accuracy of the conversion algorithm, and the decrease in percentage is not large and occurred due to the complexity of the words and the low quality of the microphone, and therefore the recorded file.
The virtual reality information system for the ISN LPNU department tours with elements of full immersion as a platform for an open day
Authors:   Lviv Polytechnic National University, Kuznietsov Oleksiy , Vysotska Victoria ,   Lviv Polytechnic National University, Vlasenko Olha ,   Zhytomyr Ivan Franko State University
Published: February 2023

Virtual reality is an important information technology that allows to achieve significant progress in underserved areas. Immersive multimedia, or virtual reality, is a software-simulated environment that simulates physical presence in the real or imagined world. Innovative applications such as high-tech intelligent systems that correlate with the information technologies of display, modelling, building and maintaining networks, artificial touch and computer graphics have made virtual reality a breakthrough in the computing world. Excursions and distance learning in virtual reality are one of the ways to simulate the presence in a city in which a person cannot be physically present at the moment. When viewing virtual tours or attending online classes using videos/photos, the user (applicant/student/learner/teacher) only sees a flat image and cannot interact with it. In this way, the effect that the user is present in that place is lost. Virtual reality with the effect of full immersion allows to eliminate these disadvantages almost completely, and to provide the opportunity to interact with objects located on the virtual stage with the help of real body movements. In addition, in a short period of time, with the help of virtual reality, the user can visit many places, literally without leaving home. This is impossible to do in real life, as certain places are located at a great distance from the user. The object of the study is the process of conducting an interactive excursion and distance learning on the basis of the Department of Information Systems and Networks of the Lviv Polytechnic National University in virtual reality. The subject of the study comprises means, methods of designing and developing the virtual reality information system of excursions and distance learning using virtual reality information technologies. The practical significance of the obtained results is the implemented information system for conducting interactive excursions and distance learning on the basis of the university department. The scientific novelty of the obtained results is an information system based on the use of virtual reality, which is intended for online visits to the premises of the university department with elements of full immersion, as a platform for career guidance of students or distance learning of students.
Application of automated planning technologies for completing the medical knowledge base
Authors:   Lviv Polytechnic National University, Dosyn Dmytro , Yatsenko Andriy ,   PMI NASU, Kovalevych Vira ,   PMI NASU, Daradkeh Yousef Ibrahim ,   Prince Sattam Bin Abdulaziz University
Published: February 2023

The widespread implementation of intelligent decision support systems (IDSS) is hampered by the lack of methods and technologies for automatically filling the knowledge base during the operation of such systems. This problem is especially acute in the medical field. Its solution lies in the application of automatic planning technologies. The methods and algorithms developed in this field for estimation the optimal strategy for solving problems, which are strictly formulated in terms of predicate logic, allow numerically evaluating the usefulness of new messages and thus ranking information by importance and automatically selecting essential information for entering it into the knowledge base. The paper proposes the architecture of a medical IDSS that implements this approach, substantiates the applicability of the Markov approximation for the formalization of automatic planning tasks in the medical field, shows the effectiveness of the proposed approach using the example of an informed choice of serum for influenza vaccination.
Distorted character recognition by an incompatible single-layer dipole neural network
Authors:   Lviv Polytechnic National University, Peleshchak Roman , Lytvyn Vasyl ,   Lviv Polytechnic National University, Doroshenko Mykola ,   Drohobych Ivan Franko State Pedagogical University, Peleshchak Ivan ,   Lviv Polytechnic National University, Sidletskyi Sviatoslav ,   Lviv Polytechnic National University
Published: February 2023

This paper solves two problems: the first problem is devoted to the recognition of distorted symbolic images by a single-layer incompatible dipole neural network, and the second - the optimization of computing resources in the recognition of distorted symbolic images. In particular, the architecture of an incompatible single-layer network with dipole neurons is proposed. Incompatibility of synaptic connections between neurons is based on the fact that significant interaction between dipole neurons exists in their immediate environment. Synaptic connections between dipole neurons are taken into account only between the nearest neighboring neurons, because the synaptic tensor λij between the i -th and j -th dipole neurons is inversely proportional to the distance rij between neighboring i -th and j -th dipole neurons, therefore λij+1<<λij . An algorithm for recognizing incoming distorted symbolic images using an incompatible dipole neural network has been developed and implemented in the Matlab application system. It is shown that for the recognition of input symbol images by an incompatible dipole neural network the computational resource time is shorter compared to a fully connected neural network by n(n+1)/4 times ( n is the number of pixels in columns and rows, respectively, used for encoding of input images). Numerical experiments have shown that the computational time to recognize 0,4n2 distorted characters, which is described by a 5×5 matrix, is 7,5 times less than the recognition time of a fully connected neural network.
Review on Thermozymes Produced by Thermophilic Fungi: A Gold Mine for Industrial Applications
Authors: Mohammad Ifra Erum , Syed Shabana , Darukamalli Maheswara Reddy , Alapati Krishna Satya
Published: February 2023

Thermophilic fungi have often been proposed as magnificent sources, since, they grow in extremely harsh temperatures, ranging between 20-50 °C. They have ability to produce industrially germane thermo-resistant enzymes that can endure the austere environment of industrialized procedures, and have outspread mercantile acceptability in food, paper, feed, pulp and also in textile industries. The isolates of numerous thermophilic fungi are sources of biotechnologically valuable enzymes like pectinases, laccases, xylanases, phytases, proteases and cellulases etc., which display high levels of temperature tolerances up to a maximum range of 72 °C. Despite lesser-known knowledge about them, they have already aided humans in many ways and still have lot more to give. In the subsequent years, the utilization of thermostable enzymes is anticipated to escalate exponentially due to their role in biofuels. In this review I describe about their isolation from their respective habitat, production of thermostable enzymes and their applications in industry, which helped scientists to break through the field of Industrial Biotechnology.
KESULITAN ANAK SELAMA BELAJAR DARI RUMAH (BDR) DAN PENGENALAN ENGLISH CLUB
Authors: Nadia Fatma , Panama Rahdja Dika Rosti
Published: February 2023

It has been almost a year since Covid-19 has become a world pandemic, since it was announced by the World Health Organization (WHO) on March 11, 2020. The Indonesian government even issued a Large-Scale Social Restriction (PSBB) regulation to minimize the spread of Covid-19 and its effects. PSBB is applied in all sectors of life, including the education sector. Large-scale social restrictions in the education sector are carried out by the government through the Ministry of Education and Culture by issuing Guidelines for the Implementation of Home Learning, known as BDR. The purpose of this study was to find out the various difficulties experienced by early childhood during the BDR period in the Covid-19 Era. So that effective solutions can be obtained or produced to minimize the difficulties of implementing Learning from Home so that the objectives of National Education can be achieved. English club activities are a solution to overcome the boredom experienced by children during BDR. The results showed that there were many difficulties in implementing Learning from Home. Even so, we can still find various solutions to overcome the difficulties that arise from holding BDR. In addition, the cooperation of all parties involved in educational activities, namely, teachers, parents and students as well as the Ministry of Education and Culture is the key in overcoming existing difficulties.
PELAKSANAAN PROGRAM TAHFIDZ AL-QUR’AN DALAM MEMBENTUK KARAKTER RELIGIUS SANTRI PADA PONDOK PESANTREN DDI (DARUD DA’WAH WAL-IRSYAD) MATTOANGING KABUPATEN BANTAENG
Authors: . Arifuddin , Usman Syahruddin , Muzakkir
Published: February 2023

This study discusses the implementation of the Tahfidz Al-Qur'a>n program in shaping the religious character of students at the DDI Islamic Boarding School (Daarud Da'wah Wal-Irsyad) Mattoanging, Bantaeng Regency with the aim of: 1) describing the Tahfidz Al-Qur'a> program. n at the DDI Mattoanging Islamic Boarding School, Bantaeng Regency. 2) describe the religious character of the Santri at the DDI Mattoanging Islamic Boarding School in Bantaeng Regency. 3) describe the implementation of the Tahfidz Al-Qur'a>n program in shaping the religious character of students at the DDI Mattoanging Islamic Boarding School, Bantaeng Regency. The results of this study indicate that: 1) the Tahfidz Al-Qur'a>n program is a program of mentoring and fostering tahfidz Al-Qur'a>n which is always carried out as a forum in creating a generation of memorizing Al-Qur'a>n through takhassus memorization. and non takhassus. The implementation of tahfidz with takhassus criteria is 15 people with the highest memorization of 9 juz and the lowest 1 juz and non takhassus totaling 19 people with the highest memorization of 1 juz and the lowest half juz. tahsin Al-Qur'a>n; b bilghaib (memorizing) or Ziadah (adding memorization); c) muraja'ah/takrir and d) simaan; 2) Religious character is considered very important and is always taught, preserved and practiced for santri and female students which includes discipline, honesty, courtesy, sincerity and istiqomah, patient, humble / humble, obedient to worship and responsible; 3) the implementation of the Tahfidz Al-Qur'an program in shaping the religious character of students is carried out in several ways, namely conveying the traditions of the Prophet about adab, advice, conducting supervision and attention, giving punishment and keeping away from electronic access and the like.
Up and down. From Inner Curvature to Northern Wallachia and back during the 5th millennium BC
Authors: Buzea Dan Lucian , Garvăn Daniel , Pandrea Stănică
Published: February 2023

The rescue research carried out within the site Olteni - Sand Quarry (Site B), between 2005-2012, highlighted the existence of a settlement with dwelling features belonging to the cultures of Linear Pottery, Boian-Giuleşti and Precucuteni, phase I. In this study we present the anthropomorphic figurines attributed to the early Eneolithic discovered in this site, while discussing also the archaeological and chronological contexts from which they originate
Failure Analysis of Beam Composite Elements Subjected to Three-Point Bending Using Advanced Numerical Damage Models
Authors: Różyło Patryk
Published: February 2023

This paper deals with the experimental and numerical analysis of three-point bending phenomenon on beam composite profiles. Flat rectangular test specimens made of carbon–epoxy composite, characterised by symmetric [0/90/0/90]s laminate ply lay-up, were used in this study. Experimental testing was carried out with a COMETECH universal testing machine, using special three-point bending heads. In addition, macroscopic evaluation was performed experimentally using a KEYENCE Digital Microscope with a mobile head recording real-time images. Parallel to the experimental studies, numerical simulations were performed using the finite element method in ABAQUS software. The application of the above-mentioned interdisciplinary research techniques allowed for a thorough analysis of the phenomenon of failure of the composite material subjected to bending. The obtained research results provided a better understanding of the failure mechanism of the composite material.
Propositions, Representations and Pluri-Propositionalism
Authors: Perry John
Published: February 2023

A frequent criticism of Richard Vallee’s “pluri-propositionalism” is that it multiplies propositions beyond necessity. I argue that this criticism, recently voiced by Robert Stanton and Arthur Sullivan, is based in misconceptions about propositions are and how they help us classify utterances and the mental states and events that lead to them, relying for the most part on extended discussions of examples.
Campus/Academic Novels and “Built-In” Nostalgia
Authors: Selejan Corina
Published: February 2023

The present article traces nostalgia across various campus and academic novels published during the last three decades and identifies different kinds of nostalgia – writerly and readerly nostalgia, vicarious nostalgia, ersatz nostalgia – not in the systematic manner of a classification but guided by the novels themselves. The readings are informed by theories stemming from different backgrounds – the social sciences, cultural and literary studies, psychology and cognitive science – in an attempt to create a productive dialogue, one that emphasizes the creative potential of nostalgia.
Areas of influence in influencer marketing. To what extent is the communication under brand control?
Authors: Łaszkiewicz Anna
Published: February 2023

The article discusses the issue of influencer marketing in the context of social, technological and individual changes that affect the effectiveness of marketing communications. Limitations resulting from consumer preferences, media fragmentation and information overload make it increasingly difficult for brands to build awareness and reach audiences. Influencer marketing is an area that is increasingly willing to be used in the communication mix, but also in this area, we observe a growing number of limitations, which are worth being aware of when planning activities in this area. The purpose of this paper is to identify the limitations arising from the use of algorithms by social media platforms that determine the layout and visibility of content in the feed. The author developed an overview of algorithm changes on the Instagram platform and reviewed the literature on this issue concerning the Instagram platform, which is indicated as the most frequently used by marketers for activities in the field of influencer marketing. Visibility restrictions due to algorithms affect not only brands but also influencers. However, influencers take a number of actions to recognise the rules imposed by algorithms, thus building greater visibility for their content. Additionally, they can support brands with their expert experience. Therefore, the choice of an influencer for cooperation should, in addition to essential parameters related to brand fit, consider the effectiveness of reaching new audiences through the skilful use of knowledge and experience in the changing rules of algorithms.
Omnichannel environment — phenomena, processes and the directions of change
Authors: Bogdan Gregor , Gotwald Beata
Published: February 2023

Omnichannel as a concept was introduced to the business practice due to the development of multichannel actions and their integration. This paper aims to identify processes and phenomena occurring in an omnichannel environment in the past years (2020–2022) and their evaluation based on the literature. We used the literature review method, focusing mainly on two professional journals: Total Retail and Multichannel Merchant. Based on the literature studies, we can say that in the analysed period, the major issues discussed were the extension of customer experience and personalisation of contact, development of offered ways of delivery (including the curbside delivery or ‘dock and load’) and payment methods (including m-payments), the need for more frequent actualisation of POS solutions, changes in the way in which stock and supplier relations are managed, implementation of new technologies (such as headless e-commerce and Progressive Web Application [PWA]), development of contact-less shopping and further development of sustainable commerce.
The use of content marketing on the websites of dairy companies
Authors: Strzębicki Dariusz
Published: February 2023

This article’s aim is an attempt to identify the scope and ways of implementing content marketing on the websites of dairy companies. To achieve the stated objective, 15 dairy company websites were analysed using the content analysis method. It was observed that the companies surveyed use content marketing in different ways on their company websites, with the aim of distributing attractive content designed to persuade the customer to act accordingly. Companies are recognising the increasing role of content marketing and the opportunities for its implementation on the company website. However, there is great potential to intensify activities in this area.
“Malmö is not Sweden's Chicago”: Policing and the challenge of creating a sense of safety through social media strategies
Authors: Sjöberg Jens , Berglez Peter , Gambarato Renira Rampazzo
Published: February 2023

This article explores Swedish Police Authority strategies on creating a sense of safety through social media. Previous research has generally focused on proximity policing, practices of informing citizens, proactive police work, crime reduction, surveillance, and preservation of trust and less on the digital creation of a sense of safety. The study consists of semistructured interviews with 20 police officers, media strategists, and communicators from the Swedish Police Authority in a region associated with high crime rates. The results of this national case study indicate that a social media–driven creation of a sense of safety depends on how the intertwined strategies of transmediality, presence, and transparency are communicatively handled. This article adds to the literature by demonstrating how the Swedish Police in Police Region South (PRS) use and understand social media to create a sense of safety.
An Attack on a Non-Interactive Key Exchange from Code Equivalence
Authors: Persichetti Edoardo , Randrianarisoa Tovohery Hajatiana , Santini Paolo
Published: February 2023

A recent paper by Zhang and Zhang claims to construct the first code-based non-interactive key exchange protocol, using a modified version of the Code Equivalence Problem. In this paper we explain why this approach is flawed. Namely, we describe an attack which involves only linear algebra and completely breaks the protocol with overwhelming probability. A simple Magma script confirms our results.
Federal Accounting Standard FSBU 14/2022: Innovations in the amortization of intangible assets. Part 1
Authors: KOPYLOVA Ekaterina K. , KOPYLOVA Tat'yana I.
Published: February 2023

Subject. This article deals with the issues of accrual of amortization of intangible assets in accounting, updated in connection with the approval of the Federal Accounting Standard FSBU 14/2022 – Intangible Assets. Objectives. The article aims to identify changes in accounting legislation on the accrual of amortization of intangible assets in connection with the approval of the Federal Accounting Standard FSBU 14/2022 – Intangible Assets, highlight the sequence of actions when calculating amortization, and update the accounting policy. Methods. For the study, we used the methods of analysis, systematization, comparison, generalization, and the analog approach. Results. The article presents the results of a critical analysis of the approved Standard FSBU 14/2022 on the amortization of intangible assets and, taking into account the requirements of this Standard, offers an algorithm of actions in the process of calculating amortization, containing four stages. It also formulates elements of an accounting policy for the amortization of intangible assets that need to be clarified in connection with the beginning of the application of this Standard. Conclusions and Relevance. The basic requirements for calculating the amortization of intangible assets contained in the Standard FSBU 14/2022 differ significantly from the previous Russian accounting rules and are close to international practices. The results obtained can be applied both in the theory and practice of accounting in relation to the amortization of intangible assets.
Urban success index: Rationale for data collection methodology and technique
Authors: ZHDANCHIKOV Petr A. , IL’INA Irina N.
Published: February 2023

Subject. This article discusses the prospects for the development of the urban environment in Russia.
Objectives. The article aims to classify the major cities of Russia by level of economic, spatial, and demographic development.
Methods. For the study, we used the methods of systems, comparative, logical, and statistical analyses.
Results. The article presents the author-developed methodology for calculating the Urban Success Index. According to the values of the obtained index, all the largest cities of Russia can be divided into five clusters depending on the values of the main demographic and socioeconomic indicators.
Conclusions. The Urban Success Index values obtained help note the trend of polarization in the development of the country, when the economy and population get concentrated in the largest cities.