bluuebunny/crossref_metadata_2025 huggingface dataset:
The relative bias of psychometric testing
Authors: McCredie Hugh
Published: June 2024

Key digested message

Understanding bias and its impact on decision-making and judgement is a contemporary issue for any modern work environment. This article explores which selection methods are least prone to bias, how bias may be identified and whether psychometric testing significantly reduces or increases the risk of bias in human decision-making. It also examines whether tests are inherently biased and asks if modern test publishers overcome the risks of bias in order to create fair tools.
Consequences of online sextortion on victims: Findings from open-access data and an online survey
Authors: Fletcher Rachel , Tzani Calli , Ioannou Maria
Published: June 2024

Key digested message

Sextortion is currently the highest reported form of image-based sexual abuse, a form of online blackmail which has been growing in prevalence since 2021. Research highlights sextortion to have severe psychological consequences, with over a dozen cases of suicide among victims. This paper used two transcripts from the media of victims’ experiences, as well as qualitative survey responses from an additional 99 victims, to explore in detail how sextortion affects victims psychologically. A main theme was low self-esteem leading to depression, within which feelings of hopelessness and negative thinking of oneself were prominent. Another main theme was paranoia causing anxiety, which was characterised by a loss of trust and feeling of not being able to escape.
Analysis of Perceived Effects of Rainfall Variability on Rice Yield in Lokoja, Kogi State, Nigeria
Authors: Folorunsho Joseph Olaniyi , Ajiwoju Moses
Published: June 2024

This study analyzes the perceived effects of rainfall variability on rice production in Lokoja using data on rainfall and rice production from 2013 to 2022, and data on demographic and socio-economic characteristics of farmers as well as their perception on the effects of rainfall variability. The study was done using well-structured questionnaire administered in the study area to the 140 selected respondents, and the Statistical Package for the Social Sciences (SPSS) version 24 was utilized to analyze the data. Results showed that rainfall have significant effects on rice production with varied yield based on rainfall fluctuations in the amount of rainfall with as much rice production of about 4269 tonha-1 when precipitation was suitable between about 1250 - 1350mm, but when less than normal precipitation (<1250mm), it reduces the production yield to about 2361 tonha-1. Similarly, the results revealed that when the rainfall amount was highest, the total rice production was reduced, with cultivated areas having heavy rainfall resulting in flooding. Results further showed that on average 1282mm of rainfall produced 2693 tons of rice in the study years. About 44% of the respondents refuted early rainfall onset affecting rice production with months such as June, July, and September in some of the years with high rainfall intensity having adverse effects on rice farming, with 43% of the respondent noting that it limited the amount of land available for cultivation, while 26% noted that it reduces rice yield while the remaining 31% noted that it destroys rice stands.
Olhar sobre o processo ensino aprendizagem: uma analise a partir das dimensões cognitiva e socioafetiva
Authors: Cherobini Larissa Orlandi , Ferreira Luísa de Lima , Pereira Adriana Dall’Asta , Alves Marcos Alexandre , Ferreira Carla Lizandra de Lima
Published: June 2024

Escola, espaço que deve oportunizar desenvolvimento integral das crianças e adolescentes, promovendo atividades que fortaleçam crescimento físico, psicológico, social e cultural. As dificuldades no ensino e aprendizagem podem estar associadas a situações de vulnerabilidade social. Objetivou-se identificar demandas do processo de ensino e aprendizagem dos estudantes, analisando essas demandas no contexto do ensino de uma escola municipal. Pesquisa-ação, fundamentada no método da problematização de Arco de Maguerez, foi desenvolvida desde 2021 em escola municipal no município de Santa Maria/RS até julho de 2023. Os resultados por meio de análise temática na primeira etapa desenvolvido com oito professores apontaram para categorias: emoções e sentimentos no cenário escolar; desestruturação familiar; a difícil convivência em grupo; e tecnologias em um novo cenário educacional. Posteriormente na terceira etapa com 15 professores emergiram mais duas categorias: a compreensão do papel do professor pela sociedade e as dimensões cognitiva, afetiva e social no processo de ensino-aprendizagem. Conclui-se no estudo ao analisar as demandas, que elas contemplam vulnerabilidades e aspectos do ensino e aprendizagem que se entrelaçam com dimensões cognitivas, afetivas e sociais. Emoções expressas na sala de aula pelos estudantes são relevantes e devem ser bem conduzidas, pois prejudicam a aprendizagem significativa. Professores devem ter um olhar atento para os aspectos emocionais, pois eles se compatibilizam com os aspectos cognitivos. Na relação professor e estudante, deve existir um ambiente social, seguro, agradável, de diálogo, para se expressarem, oferecer também um ambiente emocional agradável, para resultar no processo de ensino e aprendizagem de confiança e de conforto.
FAKTOR-FAKTOR YANG MEMPENGARUHI KOMUNIKASI EFEKTIF DALAM TIMBANG TERIMA
Authors: Kristianingsih Yustina , Astuti Martha Sri , Setyawati Emiliana Indah Eko , Adriana Fransiska
Published: June 2024

Communication in health services must be easy to understand because it is related to the nature and behavior of different health workers involved in nursing care, so that staff, nurses and doctors must understand how communication can be applied in all situations. The phenomenon at the research site as a result of interviews found that communication is still lacking effective both among nurses and other health teams. This research aims to analyze the factors that influence effective communication regarding SBAR consideration. The research design used descriptive analysis with a population of executive nurses in inpatient rooms at private hospitals in Surabaya who fulfil the inclusion criteria. Sample collection used simple random sampling with a sample size of 41 respondents. Data were collected using the SBAR communication effectiveness and acceptance questionnaire which is valid and reliable. After the data was collected, a simple regression test was carried out and the results obtained were that the majority (85%) of respondents carried out effective communication and acceptance. The factors related to effective communication regarding SBAR acceptance in this research are motivation and leadership. Effective communication in SBAR consideration is very important to continue to be improved so that the nursing department of the private hospital at the research site can continue to motivate the implementing nurse and manager of unit to support each other in the application of effective communication in SBAR consideration.
“Oft Incandescent on the Green Sward”
Authors: Lake Robert J.
Published: June 2024

Despite the recent successes of Canadian players in the elite world of professional tennis, there remains a glaring gap within the sport's historiography. This article aims to advance our understanding of the sport's incipient development in Canada, focusing on its historical epicenter of southern Ontario. Early clubs and tournaments were repositories of the upper-middle-class values of behavioral self-control, refined tastes, and propriety and enclaves where the connected practices of social exclusion and conspicuous consumption proliferated. This article exposes the underlying class tensions—rooted most strongly in the perceived middle-class needs for social distinction and social reform—that colored the experiences of early tennis players and administrators. The ideology of amateurism, which equated fair play with respectability, conditioned their approach to play but found its limit with the marked advance of commercial interests. As lawn tennis in Canada developed and matured, those in positions of power leaned on both British and American cultural values and practices in an effort to carve out their own spaces.
Aeolica Maasiana
Authors: Sironi Francesco
Published: June 2024

Paul Maas (1880-1964) è stato uno dei filologi classici più importanti del XX secolo. Fine metricologo e teorico della critica del testo, aveva la preziosa abitudine di postillare fittamente i volumi della sua biblioteca personale. Molti di questi volumi si trovano oggi presso l’Università degli Studi di Milano e conservano numerose riflessioni e proposte testuali tuttora inedite. In particolare, sono conservati a Milano tutti i volumi di Maas dedicati a Saffo e Alceo attualmente noti. In anni in cui lo studio della lirica eolica è stato ravvivato da scoperte papiracee e nuove edizioni critiche, questo volume intende offrire agli studiosi un’ampia selezione commentata delle postille maasiane relative ai due poeti. In appendice è pubblicata una cartolina di Paul Maas ad Achille Vogliano su un frammento di lirica eolica.
On Approach for Analysis of Distribution of Temperature During Effects of Radiation on Biological Tissues
Authors:   Department of Mathematical and Natural Sciences, Nizhny Novgorod State University, Nizhny Novgorod, Nizhny Novgorod region, Russia., Pankratov Evgeny Leonidovich
Published: June 2024

Different types of irradiation take essential role in biological processes directly related to human health. Currently they are widely using in clinical practice. In this situation one can find several works to determine therapeutic effects, which were obtained by actions of the irradiation on living organisms. One type of irradiation of tissues of the considered organisms is electromagnetic radiation. A consequence of the radiation tissues of organisms is their heating. In this paper we introduce a model and an analytical approach to analyze distribution of temperature at effect of radiation on biological tissues. We consider a possibility to control of heat transport in biological tissues by choosing of conditions of heating. Also we present an analytical approach for analysis of the obtained model. The approach takes into account changing of parameters of the considered processes on coordinate and time as well as their nonlinearity.
Enhancing Network Security using Possibility Neutrosophic Hypersoft Set for Cyberattack Detection
Authors:   Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia, Mohammed Mohammed ,   Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia, Musa Abdalla I. Abdalla
Published: June 2024

Network security is any endeavor intended to defend the integrity and usability of the data and network. Fast development in network technology and the scope and amount of information transported on a network is gradually growing. Based on these situations, the complexity and density of cyber-attacks and threats are also increasing. The constantly expanding connectivity makes it more difficult for cyber-security specialists to monitor all the movements on the network. More complex and frequent cyber-attack makes anomaly identification and detection in network events challenging. Machine learning (ML) provides different techniques and tools to automate cyber-attack detection and for prompt prognosis and analysis of attack types. The model of a neutrosophic hypersoft set (NHSS) is a combination of a neutrosophic set with a hypersoft set. It is a useful structure to handle multi-objective problems and multi-attributes with disjoint attributable values. This study derives the Possibility Neutrosophic Hypersoft Set for Cyberattack Detection (pNHSS-CAD) technique to improve network security. The pNHSS-CAD method has its formation in feature selection with the Whale Optimization Algorithm (WOA), which successfully recognizes the important features from the data, thus improving processing speed and reducing dimensionality. Following feature selection, the pNHs-set classifier is employed for the robust detection and identification of cyber-attacks, which leverages the power of the neutrosophic set to deal with ambiguity and uncertainty in the information. The Firefly (FF) technique is applied for hyperparameter fine-tuning, which ensures the model operates at maximum effectiveness to enhance the performance of the classification. This wide-ranging method leads to a very efficient cyberattack recognition method, which can able to accurately mitigate and identify risks in the real world
Modelling of Neutrosophic Set-Based k-Nearest Neighbors Classifier for Virus Pneumonia and COVID-19 Recognition
Authors:   Unit of Scientific Research, Applied College, Qassim University, Buraydah, Saudi Arabia, Imène Im� ,   Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia, Selmi Afef
Published: June 2024

COVID19 otherwise called Severe Acute Respiratory Syndrome Corona virus-2 is an infectious illness. Another transmittable infection called Pneumonia is mainly attributable to infection because of bacteria in the alveoli of the lungs. Once a diseased lung tissue has infection, it elevates excretion in it. Specialists conduct health examinations and identify the patient through ultrasound, biopsy, or Chest X-ray of lungs to identify whether the patient has these diseases. Incorrect treatment, misdiagnosis, and if the disease was disregarded will result in the fatality. The development of Deep Learning and neutrosophic set (NS) supports the decision-making procedure of professionals to identify patients with this disease. NS is a prolongation of the fuzzy set and classical theories. The NS determines three memberships such as T, I and F. T, I, and F display the degree of truth, the false, and the indeterminacy membership, correspondingly. This enables a more nuanced representation of contradiction, uncertainty, and ambiguity within the dataset, allowing superior handling of imprecise and complex data. This study develops a new Deep learning with Neutrosophic Set-Based k-Nearest Neighbors Classifier for disease detection (DLNSKNN-DD) technique. The major purpose of the DLNSKNN-DD method is to identify the existence of virus pneumonia and COVID-19. In the DLNSKNN-DD technique, the feature extraction from the medical images is carried out by residual network (ResNet50v2). Moreover, the parameter tuning of the ResNetv2 model is done using Adadelta optimizer. The DLNSKNN-DD technique exploits NSKNN model for classification purposes. The performance evaluation of the DLNSKNN-DD algorithm can be assessed on medicinal image dataset. The experimental outcomes underlined the effectual recognition results of the DLNSKNN-DD technique on the identification of diseases
Modeling bladder cancer survival function based on neutrosophic inverse Gompertz distribution
Authors:   Department of Sharia, University of Mosul, Mosul, Iraq, Zakariya Zakariya ,   University of Mosul, Mosul, Iraq,   Department of Statistics and Informatics, University of Mosul, Mosul, Iraq, Hadied Zeina Ameer , Algamal Zakariya Yahya
Published: June 2024

In the field of survival analysis, the inverse Gompertz distribution is used to mimic human lifetime data patterns. The goal of the neutrosophic inverse Gompertz distribution (NIGD) is to describe a range of indeterminate survival data. The defined distribution is very helpful for modeling somewhat positively skewed unknown data. The main statistical characteristics of the created NIGD, such as the neutrosophic moments, hazard rate, and survival function, are covered in this paper. Additionally, the well-known maximum likelihood estimation method is used to estimate the neutrosophic parameters. A simulation study is conducted to see whether the projected neutrosophic parameters were reached. Not to mention that possible real-world uses of NIGD have been discussed using actual data. To show how well the suggested model performed in comparison to the present distributions, real data were used.
Efficient Neutrosophic Optimization for Minimum Cost Flow Problems
Authors:   VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati, AP, India, Kottakkaran Kottakkaran ,   Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia; Saveetha School of Engineering, SIMATS, Chennai, India,   Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Morocco,   VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati, AP, India, Nisar Kottakkaran Sooppy , Broumi Said , Kumar Ranjan
Published: June 2024

In the domain of optimization, linear programming (LP) is recognized as an exceptionally effective method for ensuring the most favorable outcomes. Within the context of LP, the minimum cost flow (MCF) problem is fundamental, with its primary objective being to reduce the transportation costs for a single item moving through a network, under the constraints related to capacity. This network is made up of supply nodes, directed arcs, and demand nodes and each arc has an associated cost and capacity constraint, these factors are certain. However, in practical scenarios, these factors are susceptible to variation due to causal uncertainty. The neutrosophic set theory has surfaced as a challenging approach to tackle the uncertainty that is often encountered in optimization processes. In this manuscript, our primary objective is to address the minimal cost flow (MCF) problem while accounting for the uncertainty inherent in the neutrosophic set. We specifically focus on the cost aspect as SVTN numbers and introduce a new approach based on a customized ranking function handmade for the MCF problem a pioneering endeavor within the field of neutrosophic sets. Additionally, we present numerical example to validate the effectiveness and robustness of our model.
A Novel Secured Deep Learning Model for COVID Detection Using Chest X-Rays
Authors:   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana, India, Chhaya Chhaya ,   Computer Science  Engineering with Artificial Intelligence and Data Science, Sagar Institute of Science and Technology, Gandhi Nagar Campus, Opposite International Airport, Bhopal (M.P.), 462036,   Assistant Professor, Department of CSE, Nitte Meenakshi Institute of Technology,   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana, India,   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana, India,   Professor, School of Computing and Information Technology, REVA University, Bangalore, Karnataka, India, Khan Vasima , Srikanteswara Ramya , Gill Nasib Singh , Gulia Preeti , Menon Sindhu
Published: June 2024

Automatic detection of a medical disease is a need of the hour as it helps doctors diagnose diseases and provide fast medical reports. COVID-19 is a deadly disease for which an automated detection system may be helpful. This study proposes a unique hybrid deep learning model, COVIDet, based on CNN and the speeded-up robust features (SURF) extraction approach to diagnose COVID-19 using chest x-ray images. SURF is utilized in this work to extract features, and the output is then transferred to a 25-layer CNN for detection using the extracted features. This investigation employed 4623 COVID-19 positive X-ray pictures or 8055 total. The suggested hybrid model also contrasts with the study's VGG19, Resnet50, Inception, Xception, and traditional CNN models. The proposed model had a 98.01% accuracy, a 97.03% F1-score, a 98.65% sensitivity, a 99% precision, and a 95.65% specificity. The proposed model can be further improved when more datasets are available and can help doctors to diagnose patients quickly and efficiently. Using chest X-ray pictures, a secured web application is also developed to identify COVID-19. The user sends the application a chest X-ray image, and in return, it determines whether an individual is COVID-19 positive or not, cutting down on testing time. In Covid times, when people are standing in long queues and waiting for their turns, this application would greatly help. The application uses the pre-trained COVIDet model in the backend.
Forecasting Trends in the Number of Tuberculosis Cases in China Using the SARIMA Model
Authors: Huang Kaiwen
Published: June 2024

Development of a seasonal ARIMA model to forecast the trend and number of tuberculosis cases in China. It is useful for analysing tuberculosis prevention and control, treatment and the detection of related external variables from public health dimension. SARIMA model were used to modelling data on tuberculosis incidence cases in China from 2004 to 2018, and comparing and analysing the fitted values of the model with the actual values. The ARIMA (4, 1, 0) (0, 1, 1) [12] function has a MAPE of only 4.07 and a value of 0.89 for the R-squared, which is able to fit the 2004-2018 TB case data well. The error rate in January, the peak month of incidence, was 2.81%. The error rate in October, the turning point of the incidence rate, was 0.08 %. As a predictive model, this is a relatively good fit goodness of fit reference value. This result can provide time-scale suggestions for the development of TB prevention and control measures, the arrangement of medical resources, and the production of relevant drugs and medical devices.
Research and Forecasting of the FTSE100 Index over Long Time Series
Authors: Zhao Yangyuhui
Published: June 2024

In order to research the UK and Global stock market, FTSE100 index is one of the most important values to study. This paper uses several models to forecast the future curve of the FTSE100 and compare these models to find a best way on forecasting. Then by analyzing the timeseries, the author shows several factors that might affect the timeseries which will be useful on the further forecast of the market. By using the simple forecast method, including Mean, Nave, Snaive and Drift, Holt and Holt-winter model, and ARIMA model on the closing price of FTSE100 from Feb.2004 to Feb.2024. The result show that Holt-winter is the best model, and the mean is the worst. Also, by considering the 100 companies of the FTSE100 the factors that will affect the time series are Energy Boom, Global Economy, and Foreign Exchange Market. Therefore, the article might give investors some idea about the UK stock market.
Optimization Algorithms for Equitable Public Housing Allocation in Hong Kong
Authors: Xu Jiayao
Published: June 2024

With Hong Kong's public housing demand far outstripping supply, exacerbated by high real estate prices and a growing population, there is a critical need for an equitable and efficient allocation system. This study explores the potential of advanced optimization algorithms to enhance the allocation of Public Rental Housing (PRH) in Hong Kong, inspired by Singapore's successful public housing model. Through a comprehensive review of Hong Kong's public housing history and current challenges, this paper introduces a novel Integer Linear Programming (ILP) model. The model aims to optimize the distribution of housing units to eligible applicants by maximizing total satisfaction and fairness, accounting for applicants' priority and housing preferences. Initial results demonstrate a significant improvement in allocation efficiency and fairness compared to the current lottery-based system. This research provides a tangible solution to Hong Kong's public housing allocation challenge. It contributes to the broader discourse on equitable housing policies, urging the integration of ethical, social, and political considerations alongside technological advancements for a more inclusive and fair distribution system.
Digital Revitalization of Museums: An Analysis of the Digital Marketing Strategy of the Sanxingdui Museum
Authors: Zhang Jiayi
Published: June 2024

In the modern era, museums are undergoing a significant transformation propelled by digital advancements. This paper delves into the realm of digital revitalization within museums, focusing specifically on the Sanxingdui Museum's digital marketing strategy. Situated at the heart of China's cultural landscape, the Sanxingdui Museum offers a unique lens into the Bronze Age civilization. Through a meticulous analysis, this study scrutinizes the museum's digital initiatives, encompassing online platforms, social media engagement, virtual exhibitions, and digital storytelling. By evaluating the effectiveness of these strategies in enhancing visitor experiences, expanding audience reach, and promoting cultural heritage, this research aims to provide actionable insights for museums worldwide seeking to navigate the digital frontier.The Sanxingdui Museum's digital marketing strategy serves as a compelling case study, It underscores the importance of leveraging digital tools to cultivate meaningful connections with diverse audiences and foster a deeper appreciation for cultural heritage. Through this analysis, we can gain a deeper understanding of the opportunities and challenges associated with digital revitalization, ultimately guiding strategic decision-making and driving innovation in museum practices.
Evaluation of INSAT-3DR Hydro-Estimator product for monsoon season rainfall at block-level and its utility in forecast verification: A case study in Karnal district, India
Authors: Kumar Amit , Kumar Yogesh , Bhardwaj Mamta , Giri R K
Published: June 2024

The availability and assimilation of INSAT-3D and INSAT-3DR weather satellite datasets has improved the accuracy of medium range weather forecasts. Conventionally, the forecast is verified against the in-situ observations. But the distribution of in-situ observatories is not uniform for many reasons like, in-habitable conditions, mountain terrains, operational cost etc. The availability of data from Automatic weather stations is also not guaranteed at all times because of maintenance and operational issues. Therefore, in the absence of in-situ data it becomes very difficult to verify the forecast. In the current study, skill of value added rainfall forecast is assessed by carrying out skill score analysis for Assandh (AS), Gharaunda (GD), Indri (ID), Karnal (KA), Nilokheri (NK) blocks using in-situ rain-gauge data for the southwest monsoon season of 2020 and 2021. For Munak (MU), Kunjpura (KJ) and Nissing (NI) blocks, the data from rain-gauges is not available. In order to fill this gap, in the present study, the block level medium-range value added rainfall forecast issued by IMD, is verified by utilizing INSAT-3DR satellite Hydro-estimator (HE) rainfall product. In order to gain confidence in the approach, the INSAT-3DR derived HE rainfall estimate is validated against the available rain-gauges in Karnal district. The study revealed that the rainfall data received from the satellite can be used for better forecasting of daily rainfall at the block level and preparation of agromet advisory bulletin. The accuracy of forecast of weather parameters in advance is found to be useful for farmers for doing appropriate field operations and crop management practices in the form of preparation of Agromet Advisories Bulletin (AAB).
K-Feldispat Uygulamalarının Iceberg Marul Yetiştiriciliğinde Verim ve Kalite Özellikleri Üzerine Etkisi
Authors: Küçük Rabia , Ersoy Lale , Altuntaş Özlem , Durak Alper
Published: June 2024

Marul yetiştiriciliğinde kaliteli bir üretim için optimize edilmiş gübre ve gübreleme programı büyük önem taşımaktadır. Sürdürülebilir tarım kaynaklarının kullanımı için aşırı kimyasal gübre kullanımının azaltılması ve alternatif ürünlerin kullanımı, doğal kaynaklarımızın yenilenebilirliği açısından etkili bir yoldur. Bu bağlamda Iceberk marul (Mira çeşidi) yetiştiriciliğinde makro besin elementi olarak kullanılan potasyumlu kimyasal gübrelerin kullanımının azaltılması amacıyla doğal potasyum kaynağı olan ‘K-Feldispat’ mineralinin verim ve kaliteye etkisi araştırılmıştır. Deneme; Kontrol, Kimyasal gübre, Feldispat (500, 1000 ve 1500 kg/da) ve Kimyasal gübre+Feldispat (500, 1000, 1500 kg/da F+KG) kombinasyonları oluşturularak, üç tekerrür ve her tekerrürde 12 bitki olacak şekilde tesadüf parselleri deneme desenine göre planlanmıştır. Denemede, bitki boyu (cm), bitki çapı (cm), gövde çapı (mm), klorofil miktarı, verim (kg/da), baş ağırlığı (g), SÇKM (brix), atık yaprak sayısı (adet), atık yaprak ağırlığı (g), yaprak taze ve kuru ağırlığı (g) özellikleri incelenmiştir. Sonuç olarak, 1500 kg/da Feldispat+kimyasal gübre uygulaması hem verim ve hem kalite parametreleri üzerinde olumlu etkiye sahip olduğu tespit edilmiştir. Bitki boyuna sadece K-Feldispat uygulamalarının diğer uygulamalara nazaran daha etkili olurken, bitki fotosentez üretimi açısından önemli olan klorofil ölçümleri 1000 kg/da feldispat+kimyasal gübre kombinasyonunda diğer uygulamalara göre pozitif yönde gelişim göstermiştir.
PATRIOTISM AND PATRIOTIC EDUCATION THROUGH THE PRISM OF STUDENT PERC
Authors:   Kemerovo State University, Morozova Elena A. , Kochneva Oksana P. ,   A. M. Tuleyev Kuzbass Regional Institute of Professional Education Development
Published: June 2024

Society as a whole, and the education system in particular, faces the diffi cult task of strengthening, reformatting patriotic education, and searching for new approaches. To understand how “reach out” to young people in this diffi cult process, it is important, among other things, take into account their opinion. Therefore, the purpose of study was analyze the ideas and assessments of students of the Kuzbass vocational education system regarding patriotism and patriotic education. Its results showed that students have a very positive attitude towards their homeland, that patriotism for them is, fi rst of all, respect for nature and resources of the country, love and respect for the homeland, pride in achievements in various fi elds of activity, love for the small homeland, law-abiding. The integral indicator — the level of patriotism — was 4.22 scores on a fi ve-point scale. But on average, students consider only half of the country’s youth to be real patriots and support the idea of paying more attention to patriotic education. Among the more effective patriotic events, students include meetings with veterans and participants of military operations, patriotic fi lms, and actions in an active form.
THE STUDY OF CRISIS SITUATIONS: GRIEF AND LOSS AS A SIGNIFICANT ASPECT IN THE WORK OF A MODERN PSYCHOLOGIST
Authors:   Novosibirsk State University of Economics and Management, Naumova Yulia A. , Tsvigun Daria S. ,   Novosibirsk State University of Economics and Management
Published: June 2024

In modern psychological science various diffi - cult and crisis life situations are an important object of scientifi c research and psychological practice. Defi ning loss as irretrievable loss or death, we can say that it becomes a turning point, a crisis event in a person’s life, as a result of which there is a change in his worldview, views on interpersonal relationships. Equally important is how a person reacts to loss. His behavior in such a situation is determined by a large number of external factors and individual characteristics. All of the above determines the importance of studying crisis situations, especially loss and grief, as a signifi cant aspect of the professional activity of modern psychologists.
HOLOGRAPHIC APPROACH AS A FACTOR OPTIMIZING ACADEMIC MOBILITY OF AFRICAN STUDENTS TO RUSSIAN UNIVERSITIES
Authors:   Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of the Russian Federation, Romanenko Nadezhda M.
Published: June 2024

In the article, the author draws attention to the need to optimize the academic mobility of foreign students through the introduction into teaching practice of a rather new, for today, holographic approach. This approach refers to innovative approaches, the essence of which, according to the author, serves as a tool in organizing the educational process that can increase the effi ciency of the level of academic mobility, the quality of knowledge and the awareness of foreign students about Russian reality, culture and history. The purpose of the study is to substantiate the essence and content of the holographic approach, to identify its main components. The novelty of the research is justifi ed by the possibility of using a holographic approach in the process of African students’ knowledge of Russian history, culture, educational features, and everyday life. The use of the holographic approach contributed to improving the quality of knowledge and awareness of students about the Russian reality.
THE FORMATION OF A SOCIAL IDEAL AS AN URGENT PROBLEM IN RUSSIAN SOCIETY AND EDUCATION
Authors:   V. N. Poletskov Kuzbass State Agrarian University, Kovaleva Galina P.
Published: June 2024

The article gives the genesis of ideas about the social ideal, the ideal structure of the state and society, social utopias, Marxism, liberalism at the integrative level of historical, philosophical and socio- political teachings. The essence of the concept of the social ideal is revealed, its huge potential, which is fi xed in social, moral norms and traditional spiritual values. The social ideal is important for the identifi cation of a person in the process of learning and socialization. The conducted research made it possible to identify problem areas in the spiritual, moral and civil- patriotic education of Russian youth. In particular, it can be noted the lack of knowledge among modern students about the diffi cult pages of Russian history, about its heroes in the past and present, about traditional spiritual and moral values, etc.
FROM THE HISTORY OF PEDAGOGY: THE ROLE OF TEMPORARY PEDAGOGICAL COURSES IN INCREASING THE LEVEL OF PROFESSIONAL TRAINING
Authors:   Pushkin Leningrad State University, Levchenko Olga Yu.
Published: June 2024

Increased attention to the problems of continuous professional development of teaching staff has increased interest in the existing domestic experience in organizing such work. In the second half of the 19th century attention to professional teacher education has increased. Activities began to be carried out to improve the level of professional training of teachers. Temporary pedagogical/ teacher courses were designed to solve this problem. Turning to materials related to their organization and implementation contributes to deeper understanding of the processes that took place in the history of education and allows us to obtain new information regarding the history of additional professional education. The source base for the study is represented by periodicals, regulatory documents, offi cial records materials, and pedagogical works dating from the second half of the 19th to the beginning of the 20th centuries. The research tasks were solved through the use of a set of mutually complementary methods: general scientifi c, theoretical, histo rical analysis. The holding of temporary pedagogical courses was caused by objective reasons, one of which was the low level of professional training of a certain part of teachers. Zemstvos played a major role in organizing the courses. Well-known teachers and experienced practitioners were involved as course leaders and teachers, which made it possible to ensure their high-quality implementation. The courses were conducted for teachers of different types of educational institutions and were not small in number. The course program provided the opportunity to gain theoretical knowledge and practical experience in its application. The presence of a model school gave students the opportunity to prepare and conduct trial lessons and discuss them with their colleagues and teachers. The courses made it possible to gain new knowledge, improve the skills and abilities necessary for professional activities, and exchange positive experiences. The courses contributed to improving the level of professional training of teachers. The experience of conducting them laid the foundations for systematic work aimed at the professional development of teaching staff.
THE EXPERIENCE OF THE SCANDINAVIAN COUNTRIES IN DEVELOPMENT NATIONAL SYSTEMS OF CONTINUING PROFESSIONAL EDUCATION
Authors:   Voronezh State University of Engineering Technologies, Yana V. Borovikova , Elena P. Komarovskaya ,   Institute of Social Education
Published: June 2024

The article examines the experience of the Scandinavian countries (Denmark, Sweden, Finland, the Netherlands) in the development of national systems of continuing professional education, through which, based on European educational cooperation, the global goals of forming a “knowledge society” in national spaces, responding to modern challenges of the time, competitive, having continuity in the education of the population and an innovative component are realized. The article presents the general and special features in the systems of continuing professional education in the Scandinavian countries, analyzes the current state and long-term national strategies of continuing professional education. Continuing education abroad is considered from the perspective of the possibilities of using its experience in domestic education, taking into account its own traditions and peculiarities of educational practice.
CRITERIA-BASED ASSESSMENT THE EFFECTIVENESS OF ADVANCED PROFESSIONAL TRAINING IN THE REGION
Authors:   Siberian Polytechnic Technical School, Lysenko Viktor G.
Published: June 2024

The present paper examines the author’s metho dologies for the creation of methodologically verifi ed and precisely defi ned instruments for evaluating the activities of the Centre for Advanced Professional Training. This evalua tion is based on a comprehensive system analy sis of the current trends in the education development, the priorities of socio- economic development of the region, the requests of stakeholders within the regional community, and external partners. The list of primary indicators and indicators pertai ning to the Centre’s functioning and development effi ciency is presented and described. The outlined methodologies for generating a criterion- based evalua tion of the activity of the Centre for Advanced Professional Training of Kuzbass, with a particular emphasis on the priori ties of socio- economic development of the region, based on close collaboration between the Centre and its partners, can be applied to the work of institutions of higher and secon dary vocational education
EDUCATIONAL PROBLEMS AFFECTING THE QUALITY OF LEARNING
Authors:   Orenburg State Medical University, Ministry of Health of Russia, Khadzharov Magomed Kh.
Published: June 2024

The work is devoted to the study of problems characteristic of modern education. Identifi cation of these problems and timely response to them helps to improve the quality of educational activities. Modern education reform often results in bureaucratic dominance, which leads to the degradation of the educational process, as a result of which its initial goals are not correlated with the fi nal results. The purpose of the work is to identify factors that negatively affect the quality of the educational process, using descriptive and critical- analytical methods. The work shows that one of the main reasons for the protracted crisis in education is the shift in emphasis from the real educational process to the production of “model”, highly formalized documentation that does not refl ect the empirical realities of the educational process. In this regard, the need to understand these problems and overcome them is pointed out in order to return education to its original functions — of education and high-quality preparation of the younger generation for professional activities.
МОДЕЛЬ ФОРМИРОВАНИЯ ЦИФРОВОЙ КУЛЬТУРЫ БУДУЩИХ ПЕДАГОГОВ
Authors:   Kostroma State University, Belova Tatyana I.
Published: June 2024

The article provides an analysis of existing concepts for the formation of a digital culture of future teachers and examines the author’s structural and content model of the process of forming a digital culture for the personality of future teachers, revealing all the components of the model, the use of which makes it possible to increase the effi ciency of the pedagogical process. The model includes the following components: purpose, principles, components of digital culture, stages of formation, pedagogical conditions and endoand exofactors infl uencing the formation of digital culture, result. The study identifi ed a set of pedagogical conditions for the effective formation of a digital culture of future teachers
CAREER GUIDANCE ACTIVITIES OF TEACHERS IN THE DIGITAL EDUCATIONAL ENVIRONMENT AIMED AT SOLVING THE PROBLEMS OF EDUCATIONAL MIGRATION
Authors:   Kuzbass Regional Institute of Professional Improvement, Serova Nataliya A. , Ponamareva Elena V. ,   Kuzbass Regional Institute of Professional Improvement
Published: June 2024

The article examines the problems of educational migration in the region, the high workload of teachers engaged in career guidance work with students; describes the factors that negatively affect the effectiveness of career guidance work with students; presents the results of a sociological study “Professional self-determination of Kuzbass high school students”, a survey of students of professional educational organizations on the role of digital resources in choosing a profession and educational organization to obtain it monitoring conducted by the CRIRPO Career Guidance Center; an algorithm is proposed for informing participants of the career guidance community with tools of the digital educational environment.
Inhibitory Effects of Mefenamic Acid on Rat Urinary Bladder Contractions In Vitro
( Effects of Mefenamic Acid on Urinary Bladder Contractions )
Authors: KACAR Emine , YILMAZ Secil , SERHATLIOGLU Ihsan , OZ Zeynep , HEKIM Munevver , BOZYIL Ahmed , SAYIN Orhan , ERCAN Zubeyde
Published: June 2024

Objective: In this study, the effect of mefenamic acid, a nonsteroidal anti-inflammatory drug, on the unconstrained contractile movement of the bladder muscle of female Spraque Dawley rats in diestrus was investigated. Since the effect of mefenamic acid on bladder smooth muscle is not known and its use for other conditions may cause possible side effects on the bladder, its effect was investigated for the possibility of using it as an active substance in the treatment of bladder problems.
Materials and Methods: In the experimental study, 1.5 cm long smooth muscle strips from seven female Sprague Dawley rats were prepared and suspended in an isolated organ bath system containing Krebs solution under 1.5 g tension. The system was gassed continuously with oxygen/carbon dioxide mixture (95%:5%) and isometric contractions were recorded. At a dose of 300 µM, the contraction/relaxation effects of mefenamic acid concentration on bladder smooth muscle were investigated. The area under the curve (AUC) and amplitude values of bladder contractions were analyzed before and after mefenamic acid administration. With the data obtained from the analysis, the effect of mefenamic acid on bladder contractions was evaluated using paired t-tests in SPSS Statistical Software.
Results: The decrease in area and amplitude values was statistically significant (P<0.05). Mefenamic acid had an inhibitory effect on bladder contractions.
Conclusion: The present findings demonstrate the relaxant effect of mefenamic acid on the rat bladder and if similar effects are observed in human studies, mefenamic acid may be effective in the treatment of voiding problems such as bladder incontinence.
Leveraging Graph Neural Networks for Enhanced Prediction of Molecular Solubility via Transfer Learning
Authors: Nguyen Dat P. , Le Phuc T.
Published: June 2024

In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules. The extracted dipole moment, alongside a selected set of molecular descriptors, feeds into a subsequent predictive model for water solubility. This two-step process leverages the inherent correlations between molecular structure and its physical properties, thus enhancing the accuracy and generalizability. Our data showed that GNN models with attention mechanism and those utilize bond properties outperformed other models. Especially, 3D GNN models such as ViSNet exhibited outstanding performance, with an R2 value of 0.9980. For the prediction of water solubility, the inclusion of dipole moments greatly enhanced the predictive power of various machine learning models. Our methodology demonstrates the effectiveness of GNNs in capturing complex molecular features and the power of transfer learning in bridging related predictive tasks, offering a novel approach for computational predictions in chemistry.
Effect of extraction conditions on carotenoids from Rhodotorula mucilaginosa
Authors: Pham Khanh Dung , Dang Thi Ngoc Dung , Tran Van Hung
Published: June 2024

Carotenoids are a group of 40-carbon isoprenoids with high lipid solubility, widely found in fruits, vegetables, etc. They have an unsaturated structure with strong antioxidant activity that helps prevent low-density lipoprotein oxidation and protect cells from free radicals. Currently, carotenoids are not only synthesized from natural sources such as plants but also from microorganisms such as bacteria, yeast, algae, etc. One more attention, becoming an important research area, using microorganisms to produce carotenoids has advantages over than plants because it saves costs and can be more easily expanded to an industrial scale. Therefore, in this study, the influence of extraction conditions such as organic acid, ultrasound time, and solvent on the carotenoid extraction from the yeast Rhodotorula mucilaginosa was investigated. The result showed that the process of carotenoid extraction follows 3M citric acid combined with 30 minutes of ultrasound for cell disruption; complete extraction process in 100% ethanol with dry cell weight/ethanol ratio of 1/50 g/mL. The total carotenoid content reached  548.98 ± 6.30 µg/g.
On the security of AEAD scheme is recommended for use in Signal protocol
Authors: Anh Nguyen Tuan , Phong Trieu Quan
Published: June 2024

Abstract— In this paper, we provide a security assessment for the authenticated encryption mode used in the recommendation of the Signal protocol. Furthermore, we found how tags are computed in Signal’s guidance differs slightly from the cited documentation. Our evaluation suggests how to choose the IV value to reduce the data storage space in the Signal protocol.
Breeding Behaviour and Management Practices of Struthio camelus under Captive Condition at Private Farm Tehsil Jhando Mari
Authors: Rameez Raja Kaleri  , Hubdar Ali Kaleri  , Raza Ali Mangi  , Ghulam Mustafa Solangi  , Depeesh Kumar Bhuptani  , Zainab Lanjar  , Imran Ahmed  , Sajid Mehmood Sajid
Published: June 2024

The study was conducted on a private farm in tehsil Jhando Mari, district Tando Allahyar, to observe the behavior of captive ostriches. Twenty birds, aged 10-150 days, were divided into groups of five, with four birds in each group ringed for identification. Observations were made for four consecutive days, six hours daily, in the morning, noon, and afternoon. Behavioral data were collected every 30 minutes, totaling 16 observations per bird per day. The study analyzed behaviors such as attacking, stone ingesting, picking, feces ingesting, running, standing, and walking. Non-parametric tests revealed significant differences in eating, lithophagia, standing, and walking behaviors during the morning and noon periods, especially in the first hour of the day. Age significantly influenced sand bathing behavior during morning and afternoon. Comparisons between noon and afternoon showed significant differences in eating, walking, dancing, running, lithophagia, sand bathing, and coprophagia, with maximum activity observed from dusk to dawn. The study concluded that ostrich behaviors vary with age and time of day under captivity.