bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSESSMENT OF THE ACTUAL TEMPERATURE CONDITIONS IN THE CHAMBERS FOR PLACING FANS
Authors: Мinieiev Serhiy , Kocherga Viktor , Yanzhula Oleksiy , Bodnar Andriy , Naryvs’kyy Roman , Demchenko Sergiy
Published: February 2024

Purpose. Assessment of the actual temperature conditions in the chambers of gas suction installations in the mining and geological conditions of the “Pokrovske” Mine Administration.

Method. Analysis and generalisation of the results of observations of the actual temperature regime in the fan chambers of the component installations.

Results. An analytical comparison of the actual temperature regime in the chambers of gas suction units with the permissible one according to sanitary and hygienic standards was carried out. The rational parameters of the temperature regime are determined, which can be considered “conditionally” acceptable in the chambers of gas suction units, are determined in the mining and geological conditions of the “Pokrovske” Mine Administration.

Scientific novelty The substantiation of the necessary physical parameters of the air entering the chambers of gas suction installations, for their ventilation, to ensure sanitary and hygienic standards for temperature has been carried out. The dependence of the air flow rate entering the chambers of ventilation gas suction units on its maximum allowable value , according to sanitary and hygienic standards, has been established..

Practical significance. It has been established that in order to ensure the standard temperature regime in the chambers of gas suction units in the mining and geological conditions of the “Pokrovske” Mine Administration, it is not advisable to use refrigeration units. This will reduce the economic costs of ensuring the standard temperature regime.

Key words: recommendations, methane, goaf, temperature, ventilation.
NUMERICAL MODELLING TOXIC SUBSTANCE TRANSPORT IN MINE WATER FLOWS
Authors: Rudakov Dmytro , Sun Yajun , Inkin Oleksandr
Published: February 2024

The purpose of this work is to develop and test a methodology for modelling the migration of toxic substances left after mining in mine water flows in a system of hydraulically connected mine workings of various sizes and elevations depending on the drainage parameters.

Methods of research include the analysis of factors that influence the formation of the hydraulic regime in flooded mines, the accumulation and transport of toxic substances. Parameters of moving toxic substances in mine waters are calculated using hydraulic flow equations written for mining workings, with flooded workings being considered as pipelines with distributed recharge. Modelling of non-stationary 1D transport in water from local sources of toxic substances was performed using the finite difference method.

Results. Flow rates and velocities in flooded mine workings on two hydraulically connected horizons of different elevations were calculated. For different locations of sources of toxic substances on the example of polychlorinated biphenyls, their concentrations in mine waters along the migration path and at the water hoisting at different flow rates were calculated. The influence of increased water withdrawal, dilution with additional recharge along the migration path and the position of potential sources of substances in the flooded mine were investigated. It wasshown that for the considered example, increasing the water outflow rate by two times accelerates the stabilisation of mass transport with an increase in the daily removal of substances by 3.4–6.4 times, which is more active from the upper horizon.

Scientific novelty. For the first time, the transport of substances in flooded workings was simulated by combining a hydraulic flow model with a numerical transport model. Unlike 2D and 3D numerical transport models based on solid mechanics, which average the concentration in the grid blocks, the proposed approach allows the reproduction of the geometry of the mined-out space more accurately. It provides a more realistic distribution of flow velocities and concentrations depending on the parameters of the mine water withdrawal, depth of mine workings, and the mine water level.

Practical significance. Using the tested methodology will make it possible to perform engineering predictions of the quality of groundwater and surface water near closed mines for different periods at different levels of flooding, water withdrawal rates and depths of the pumps for mine water drainage. In addition, the proposed technique can be used to justify the conceptual scheme of the numerical hydrogeochemical model of the post-mining areas.

Keywords. Close mines, toxic substances, flooded workings, hydraulic flow, water hoisting, transport model.
Optimization of teaching the logic of natural language as a method of cognition
Authors: Zhaldak Nikolai Nikolaevich
Published: February 2024

The efficiency of human processing of information from digital devices and other sources must be improved. To achieve this goal, it is necessary to give a scientific understanding of the representational logic of natural language as a method of cognition, and teaching it must be made purposeful and optimized. This logic includes its logical means and rules for operating with them and with figurative models of what they denote. Diagrammatic models make the conclusion purely formal. The author substantiates the possibility of this optimization by making a review of the main results of his own long-term scientific and pedagogical experiment. The author's scientific presentation of this logic covers any existential quantifiers that are featured in the diagrammatic dictionaries of the forms of attributive judgments about objects, places, times, cases, points of view; conjunctions with a relevant definition of conjunctions of logical consequence in a diagrammatic dictionary of judgments about cases; system of logical forms of questions. As for reasoning about properties, the most effective method of line-tabular diagrams is suggested. For a gradual teaching of this method and logical thinking from preschool age, a system of visual means, methods, forms of tasks and a technology for the professional training of educators and teachers is offered. Using this technology, according to the suggested forms, they compose and use meaningful tasks, and a special form serves to teach each rule. For children, a method is proposed for demonstrating the meanings of logical forms of judgments with the quantifiers "is", "no", "all", "not all", "only", "not only", "only all", "not only all", "all , except", "there is only", etc. with their fingers. For the blind, devices for teaching solving logical problems by constructing tactile line-tabular diagrams are patented.
Преподавание специальных дисциплин в туристическом вузе:
«Сити-пасс» для посещения музеев, объектов культурных мероприятий»
Authors: Savinkina Larisa Aleksandrovna , Ermakov Dmitrij Nikolaevich , Korshunov Aleksei Vladimirovich
Published: February 2024

The development of tourism in Russia is one of the main priorities of the country’s state development strategy. For Russia, tourism development is one of the priorities of the state development strategy. This chapter describes tourism as an essential component of the innovative development of our country in the long term, an economically profitable and environmentally friendly branch of the national economy. The growing demand for domestic tourism and transformation of the industry during the pandemic have become the main incentive for a deep modernization of the domestic tourism industry, aimed at long-term infrastructural development with high investment potential for all the regions of Russia.
Подготовка студенческих команд к спортивному турниру по силовым видам спорта «Богатыри Ярослава»: методический аспект
Authors: Kirsanova Ol'ga Nikolaevna , Karpov Evgenii Evgenevich
Published: February 2024

This chapter reveals the toolkit for students’ training for the traditional endurance sports tournament «Bogatyrs of Yaroslav». The description of bogatyr is presented in the chapter based on the analysis of the literature. To conduct the experiment, special sets of exercises were developed for building the power abilities of the participants. A comparative analysis of the results of training the control and experimental groups indicates a significant advantage of the winners using the developed set of exercises.
Problems of organizing the training of Russian university students as professionals when introducing a new model of higher education
Authors: Kiselev Aleksandr Aleksandrovich
Published: February 2024

Despite the numerous problems in higher education in preparing professionals in demand in the national economy, currently existing approaches to solving them make them impossible to be successfully resolved. This is confirmed by the fact that there is still no scientifically designed governmental strategy for the development of higher education and a scientifically grounded model of the transition to a new system of higher education when moving away from the Bologna System, understandable to both higher education specialists and the entire Russian society. The analysis of the situation with the training of university graduates as future professionals suggests that all the activities carried out by higher education authorities do not allow providing the national economy with the necessary professionals in the changing conditions of the global economy and new challenges from the United States and Western countries. In these conditions, domestic organizations are experiencing an acute ‘personnel shortage’ for young and creative professionals, despite the increase in financial resources for the development of higher education from the government. There is a need for a radical change in approaches to the development of a governmental strategy for teaching students in domestic universities, since the designated new model does not imply a radical development of higher education as higher professional education.
School-based cyberbullying: socio-psychological aspec
Authors:   Кокшетауский университет имени Ш. Уалиханова, Ракишева Г.С. , Сабитова Д.С. ,   Кокшетауский университет имени Ш. Уалиханова, Жантемирова М.Б. ,   Кокшетауский университет имени Ш. Уалиханова
Published: February 2024

tThe socio-psychological factors of how cyberbullying manifests among students are covered in this article. In modern conditions, the process of socialization of adolescents is rapidly moving to the Internet, where “virtu-al communication”arises, which has become formany an additional resource in communication, mastering various social roles and norms of behavior and opening up new social opportunities. Unlike adults, teenagers become an addition to live communication skills, skills related to communication through emails, messages, Г.М. Ракишева, Д.С. Сабитова, М.Б. Жантемирова132Вестник Карагандинского университетаand they master all these skills at the same time. At the same time, the development and availability of info-communication technologies has led to the emergence of completely new way of aggression, named cyber-bullying, which is a socio-psychological problem and needs to find methods to solve it. Cyberbullying should be understood as deliberate aggressive actions directed against the victim, which are carried out systematical-ly over a certain period of time using various electronic forms of interaction, from playful-comic to psycho-logical virtual terror, the result of which may be suicide. Teenagers are the most vulnerable group for cyber-bullying, since their uncontrolled communication on the Internet entails communication risks in the form of illegal contacts, cybercrime, cyberbullying, etc.The conducted theoretical analysis allows us to determine the causes of cyberbullying and factors that increase the risk of this phenomenon, including external behavioral and internal manifestations of schoolchildren, thoughts and judgments about themselves and others, social skills, personality traits, features of social contacts, perception of the school climate.Based on the materials of native and foreign studies, the results of the influence of cyberbullying on the social life and psycho-emotional state of adolescents are presented. The analysis of scientific research on this topic is presented; the issues of strengthening the psychological health of schoolchildren as a factor in the prevention of cyberbully-ing are touched upon.According to the authors, in order to solve this problem, it is necessary to strengthen the psychological health of schoolchildren, increase the level of digital literacy and the culture of behavior of Internet users since childhood
Pedagogical problems of using National GamesofKazakhpeoplein the organization of educational work of Primary School students
Authors:   Zhetysu University named after Iliyas Zhansugurov, Karatas Zh.M. , Halmatov M. ,   Bilecik Şeyh Edebali Üniversitesi
Published: February 2024

The article highlights the great role of Kazakh national gamesof the Kazakh people’s lives. Games raised the mood, developed endurance, dexterity, strength. The content of the Kazakh National Games is huge; they are inextricably linked with folk art. It was here that many talented people were noticed and distinguished. The Kazakh National Games—the customs and traditions of the people. The article is devoted to the sociological analysis of the game as an element of the children's subculture. Despite the approaches to determining the concept of a children's subculture, its meaning and significance in the life of a child, scientists agree that one of the most important elements of a subculture is a game. The game is not entertainment for children. During the game, children learn to communicate with their peers, learn about the world around them, perceive the norms and rules of behavior in society in an accessible form. The article discusses the definition of the con-cepts of “children's subculture”and “children's culture”in foreign and domestic science and their correlation, considers theoretical studies of foreign scientists on the essence of children's culture; describes the types of games and their features; presents the results of the author's work. The author conducts research on this topic, and also draws conclusions aboutthe special influence of the game on the formation of the child's personality and offers parents recommendations on the play behavior of children. The article defines the essence of the game in the structure of the children's subculture
Research methods for the development of methodological competence of future physics teachers
Authors:   Қожа Ахмет Ясауи атындағы Халықаралық қазақ-түрікуниверситеті, Сарыбаева Ә.Х. , Орманова Ғ.К. ,   Оңтүстік Қазақстан мемлекеттік педагогикалық университеті, Батырбекова А.Ж. ,   Қожа Ахмет Ясауи атындағы Халықаралық қазақ-түрікуниверситеті, Усембаева И.Б. ,   Қожа Ахмет Ясауи атындағы Халықаралық қазақ-түрікуниверситеті
Published: February 2024

The professional competence of teachers reflects their readiness to carry out pedagogical activity, as well as its professional characteristics. Therefore, at present, teachers face great demands for the development of professional competencies. The problem of professional competence is actively studied in the works of many domestic and foreign scientists, the authors have devoted their research work to the development of methodological competencies, which are an important component of professional competence. In this regard, the article considers the issue of the development of methodological competence of future physics teachers, which is the main component of professional competence in the process of professional training. Before considering the research methods, the authors set a goal to identify the components and indicators of methodological competence, first of all, they gave their definition of the methodological competence of a physics teacher. After a clear definition of each component, classes using interactive teaching methods were conducted for their development and their advantages were demonstrated. Special questionnaires,educational and methodological tasks wereprepared for the research work and a quantitative, qualitative analysis of the research results werepresented. Based on the presented results, the authors concluded that the use of the developed system for the development of methodological competencies in the process of teaching physics had a significant positive impact on the level of professional training of students
Thyroid Dysfunction in Postmenopausal Women: Across Section Study
Authors: M. Radwan Ahmed
Published: February 2024

This study was conducted on postmenopausal women who went to internal medicine and gynaecological outpatient clinics for various purposes during the period from 1/3/2021 to 1/2/2022. The aim of this work was to study possible relationship between thyroid disorders and menopause. Our study included 80 women who were postmenopausal. Patient with history of thyroid disorders, autoimmune diseases, liver disease, renal disease and patient on amiodarone or other drugs that affect thyroid function were excluded from the study.All cases were subjected to the following: History , examination , Routine investigations and Thyroid gland hormones (TSH, free T3 and free T4) and thyroid autoantibodies (TPO and TG).The result of this study showed that: Among our post-menopausal women there was 17.5% of them had thyroid disorders. The frequency of different thyroid disorders in our post-menopausal women was as follow: 10 women out of 80 (representing 12.5%) were overt hypothyroid, 4 women (5%) had subclinical hypothyroidism and 22 women (27.5%) classified as non-thyroidal illness syndrome. While 44 women (55%) were euthyroid. Thyroid auto antibodies were detected in 15% in cases of the study distributed as follow: 5% were overt hypothyroid, 2.5% had subclinical hypothyroidism and 7.5% were euthyroid women. Conclusion: Thyroid disorders are common in women in postmenopausal age. Overt hypothyroidism is the most common thyroid disorder in them, followed by subclinical hypothyroidism and thyroid autoantibodies are present in high percentage of women whether they have thyroid disorders or are euthyroid.
Change in Surgical Gynecology - Sense and Sense and Nonsense
Authors: Koelbl Heinz
Published: February 2024

The changes in operative gynecology in the last decades are dramatic in terms of changing strategies from ultraradical techniques like exenterations (Brunschwig, Rutledge) to minimally invasive techniques endoscopic or robotic, but also the level of training in terms of anatomical and surgical skills, which are significantly influenced by medico-legal aspects, legal regulations by a European working time law, thus a significant reduction of personal expertise and a changing attitude towards life goals. Predominantly external circumstances have led to an aggravation of surgical training.
A Novel Approach to The Management of Gestational Trophoblastic Neoplasia
Authors: Chopra Kanika
Published: February 2024

Background: Gestational trophoblastic neoplasia following spontaneous abortion is rare and in majority cases the approach is hysterectomy followed by chemotherapy. Case: We present case of a 22-year-old woman who presented with complaints of vaginal bleeding for 2 months; pain abdomen for 3-4 days. On reviewing history, patient was one and a half months pregnant and had spontaneous abortion for which she underwent twice dilatation and curettage and once laparotomy in outside hospital. Patient continued to bleed & MRI pelvis was done which revealed arteriovenous malformation and was thereafter referred to our hospital. On presentation her vitals were stable with pallor positive. On per-abdominal examination there was generalized tenderness and mild bleeding on per speculum examination. Her serum beta hCG at the time of admission was 98,156IU/L. Ultrasound pelvis revealed a highly vascular heterogenous hypoechoic mass showing significant internal and peripheral vascularity. We decided for uterine artery embolization owing to highly vascular GTN, young age and no live issues with the aim of uterine preservation. This was followed by chemotherapy with serial beta hcg monitoring. She is in her 14th month of follow up with resolution of her complaints. Conclusion: The aim behind presenting this case is its rarity of presentation as well as management to increase awareness among treating gynecologists. Importance of multi-disciplinary approach should not be undermined in challenging cases.
SYNTHETIC APPROACHES OF BENZIMIDAZOLE DERIVATIVES: A REVIEW
Authors: Padhy Gopal Krishna , Panda Jagadeesh , Sekhar Patr Chandra , Raul Saroj Kumar , Kumar Behera Ajaya
Published: February 2024

Benzimidazole is considered a privileged moiety for the development of molecules with therapeutic potential. Over the years several drugs viz: albendazole, pantoprazole, astemizole, telmisartan, thiabendazole, and benomyl have been developed by optimizing benzimidazole-based structures. Given the various pharmacological implications of benzimidazoles, it encourages to explore new synthetic protocols for benzimidazoles. The review presented here highlights exclusively the recent synthetic approaches to prepare benzimidazole derivatives. Numerous search engines like Science Direct, Semantic Scholar, Scopus, PubMed, and Google Scholar were utilized to collect the data. It was found that benzimidazoles were synthesized in an eco-friendly manner by employing a green reaction medium or reagent with improved yields and efficiency. Various precursors such as o-phenylene diamines, 2-nitroaniline, aniline, o-anilinic amidines, and o-aminoaryl ketone were utilized to obtain the benzimidazole. This work will provide support to synthesize numerous benzimidazole compounds in a convenient and eco-friendly manner.
Análisis de metodologías para la gestión del riesgo de liquidez empresarial
Authors: Castillo Rodríguez Oswaldo Yecid , Santiusty Oliva Luis Fernando , Revelo Messa José Francisco
Published: February 2024

La estabilidad de una empresa depende de múltiples factores; entre ellos, de la gerencia estratégica y la utilización de herramientas que permitan la toma de decisiones acertadas, minimizando la exposición a los riesgos mediante el control de factores intrínsecos en diferentes áreas de la organización. Concretamente, en el área financiera, la identificación, medición y control de riesgos a través del uso de herramientas, son de gran utilidad para auditar los procesos financieros, ya sea en un panorama económico de estabilidad o de crisis; lo más importante es que se realice un proceso coherente con una óptima gestión de las adversidades que representan algún nivel de riesgo para la organización.
Analisis Susut Energi Listrik Non Teknis Pada Kwh Meter Prabayar Di PT PLN (Persero) Unit Layanan Pelanggan (ULP) Palopo Kota
Authors: Wozali Mohammad , Usman Usman , Purwito Purwito
Published: February 2024

Susut adalah energi listrik yang terbuang dan merupakan bentuk kerugian bagi perusahaan. Susut terbagi menjadi dua jenis, yaitu susut teknis dan susut non teknis. Susut teknis terjadi selama proses distribusi karena berubah menjadi panas dan tidak dapat dihindari. Sedangkan, susut non teknis terjadi karena energi listrik tidak tercatat dalam penjualan dan disebabkan oleh berbagai faktor seperti pemakaian ilegal, kWh meter macet, pembacaan kWh meter tidak akurat, dan penerangan jalan umum illegal, data dari tahun 2022 menunjukkan bahwa ULP Palopo Kota memiliki total susut sebesar 9,12%, yang dianggap kurang baik dan belum mencapai target. Penelitian ini dilakukan untuk menurunkan persentase susut dari sisi non teknis dengan melakukan pemeriksaan kWh meter Prabayar yang mengalami kelainan pengukuran dan membuat Tagihan Susulan (Tagsus) bagi pelanggan yang tidak membeli token dalam waktu lebih dari enam bulan dan juga menormalkan pengukuran kWh meter prabayar dengan cara peremajaan kWh meter tersebut. Berdasarkan hasil penelitian dan pembahasan dapat disimpulkan bahwa dengan melakukan kegiatan pemeriksaan kWh meter prabayar dapat menurunkan susut non teknis sebesar 0.77% dari rata-rata susut non teknis pada bulan Juli â€“ Desember 2022 sebesar 1.45% dibandinkan dengan rata-rata susut non teknis pada bulan Januari â€“ Juni 2023 yaitu sebesar 0.68%.
Intelligent Remote Monitoring Method for Power Operation Site Based on Video Recognition Technology
Authors: Zhang Zhong’ao , Xu Zuowei , Zhu Dan
Published: February 2024

In order to improve the accuracy of risk recognition in power operation site, an intelligent remote monitoring method for power operation site based on video recognition technology is proposed. First, according to the video recognition architecture, the pictures of the power operation site are collected through the video camera. Secondly, in order to improve the quality of the image, histogram enhancement, smooth denoising and gradient sharpening are performed on the collected image. Finally, the preprocessed image is input into BP neural network, and the risk recognition of power operation site is obtained by adjusting and calculating the threshold and weight. Through the risk recognition results, the monitoring terminal personnel can take targeted measures. The test results show that this method can accurately monitor the risk of power operation site, and can improve the query processing times per second, which can meet the requirements of intelligent remote monitoring of power operation site.
Teaching Quality Evaluation for English Grading Based on Neural Network
Authors: Wang Xin
Published: February 2024

Current English grading teaching quality evaluation model has the problem that it is difficult to mine the hidden association, which affects the accuracy of the evaluation results. Therefore, a grading teaching quality evaluation method based on neural network is proposed in this article. According to the characteristics of the English graded teaching model, this paper constructs an evaluation index system from four aspects: teaching objectives, school management quality, teachers’ teaching process and students’ learning behavior. According to the demand of neural network, this paper establishes the English graded teaching quality evaluation model, and adjusts the network through the pruning algorithm to control the error generated by the network within an acceptable range. Taking the A-level teaching data test as an example, the accuracy of English grading teaching quality evaluation based on artificial neural network is 97.932%, which is 10.577% and 12.471% higher than that based on decision tree classification algorithm and association rules. Therefore, the evaluation result of the design method is better.
Art Image Attribute Classification Based on Support Vector Machine
Authors: Qiu Meigui
Published: February 2024

Aiming at the low accuracy and efficiency of art style painting classification algorithm, an art image attribute classification method based on vector machine(SVM) is proposed. Firstly, the scheme adopts the image classification architecture process based on SVM to fully extract the multi-dimensional features of the image and establish the feature database. Then the hierarchical classification method is used, and the specific SVM binary tree combined with the hybrid kernel classifier is adopted for image recognition and classification. Finally, illustrated by the attribute classification of ceramic art image, the experimental results show that the system has good recall and accuracy, which makes the image classification system based on SVM more widely used and more efficient.
Teaching Resource Recommendation Approach Based on Granular Sequence Pattern and Association Mining
Authors: Wu Yan
Published: February 2024

To improve the accuracy of personalized teaching resource recommendation system, a content-based weighted granularity sequence recommendation algorithm is proposed. The system adopts big data technology to establish a server cluster, and improves the effectiveness and accuracy of course teaching resource push through sequence mining technology and content-based recommendation. In user preference settings, search records are used to filter keywords in teaching resources and mine association rules between these resources. At the same time, the calculation method of user similarity is improved, and all sets of sequences are used as the searching space. The case study uses the push of a large foreign language teaching resource system as an example to test and analyze the recommendation algorithm on the network. The experimental results show that the algorithm increases the diversity of recommendation and it has better comprehensive performance than traditional recommendation algorithm.
Commerce Product Recommendation Algorithm Based on Collaborative Filtering
Authors: Wang Linyi
Published: February 2024

To acquire more ideal e-commerce recommendation results, this paper proposes an e-commerce recommendation strategy combined with big data technology and based on collaborative filtering. The algorithm puts forward an overall framework of personalized recommendation algorithm based on Hadoop platform, and then improves the traditional collaborative filtering algorithm. A number of users who are less different from the target users and have more co-occurrence times as the nearest neighbors of the target users and generate recommendations to fill the sparse user item scoring candidate set more reasonably is selected. The experimental results show that the collaborative filtering algorithm based on big data effectively solves the problem of new project recommendation, verifies the effectiveness of the evaluation index system of the distributed recommendation system, and shows better recommendation quality and scalability than the traditional recommendation algorithm.
Landscape Design Scheme Evaluation Based on BP Neural Network
Authors: Li Xiaoying
Published: February 2024

In response to the complexity of comprehensive evaluation of existing landscape design schemes and the non-linear relationship between influencing factors, this article designs a universal evaluation mode for various landscape design schemes using artificial intelligence algorithms. Firstly, the basic principles and related technologies for the evaluation of current landscape design schemes are analyzed, and an objective evaluation index system is established and the basic weights based on expert evaluation are also given. Furthermore, an evaluation model and algorithm based on self-organizing competitive neural networks are proposed and illustrated. Then, the raw data required for the evaluation indicators of the design scheme is collected, and a neural network is introduced to characterize the variation pattern between the design scheme level and the evaluation indicators. Finally, Matlab is used for empirical analysis of the case to explore the rationality and effectiveness of the evaluation model theory and algorithm. The experimental results show that the model has strong self-learning ability and it can perform nonlinear mapping without any simplification or assumption. In practical applications, the evaluation error is less than 5%, and it has characteristics such as high accuracy and short time consumption
Research on Partial Discharge Localization Method of Transformer Based on the Simulated Annealing Algorithm
Authors: Yang Jing , Wang Kai , Gu Li-hong , Hu Hao-lu , Zhou Yao-jun , Liu Jia-yu , Jiang An-feng , Yang Jian , Si Wen-rong
Published: February 2024

Accurate localization of partial discharge (PD) in a transformer can help find the insulation fault of the transformer in time and avoid more serious power accidents. Due to the influence of the transformer box and internal structure, the measured value may deviate from the real value, resulting in a large error in the localization result of the Time Difference of Arrival (TDOA) method. In this paper, a sound pressure-distance localization model based on intensity is proposed, and the model is solved by the simulated annealing algorithm. The calculation results show that the simulated annealing algorithm can effectively avoid the objective function from falling into the local optimal solution, and the localization accuracy is within 10 cm when the measured value is accurate enough. Due to the scalar property of sound pressure and the attenuation characteristics of ultrasonic waves, the direct wave can be detected by optimizing sensor arrangement, and the influence of sound wave propagation in solid and refraction and reflection can be eliminated. This paper provides a new solution for PD localization and detection of transformers.
Multi Agent Economic Management Analysis Model Based on Complex System Theory
Authors: Hu Xin
Published: February 2024

To ensure the efficiency and fairness of resource use in the process of macroeconomic management, an analysis model using complex adaptive system theory to guide the market is proposed. With the help of multi-agent modeling technology based on complex adaptive system theory, a simulation process framework based on CAS and multi-agent model is proposed. Then, by the agent-based computational economics method, this paper studies the agglomeration problem and effective resource management problem in standard diffusion, and provides relevant learning classification system process and network construction strategy. The simulation performs the case analysis under Swarm and MATLAB and the test results show that multi-agent modeling can be used to study the complete economic management mode and systematically predict the heterogeneous problems in market construction, which also realizes the effective management of resources.
Electronic Music Signal Denoising Method Based on Naive Bayes
Authors: Yang Huiqing
Published: February 2024

The current noise reduction method only uses the filter to deal with a certain kind of special noise to achieve the purpose of noise reduction. When applied to electronic music noise reduction, the noise reduction effect is poor, low efficiency, and affect the human ear sensory experience of music. Aiming at the above defects, a method of electronic music signal denoising based on Naive Bayes is studied. After digital preprocessing of electronic music signal, spectrum characteristics of electronic music are analyzed from the angle of human ear. After node filtering of wavelet packet decomposition tree by Naive Bayes model, the electronic music signal is decomposed and reconstructed by the optimal wavelet packet decomposition tree to complete noise reduction. In the noise reduction experiment, the signal-to-noise ratio of signal processed by naive Bayesian method is reduced by about 2∼5dB, and the noise reduction efficiency is improved by about 32.87%, and the noise reduction effect is better.
Teaching Information Management System Design Based on Decision Tree
Authors: Yue Shuaiting
Published: February 2024

In order to improve the informatization level of teaching management in colleges, a system solution based on decision tree and WebService is proposed. Based on the demand analysis and credibility analysis of the teaching management system, this paper puts forward the logical architecture of system and establishes a UML model for the key teaching management process. Then, the improvement of the decision tree algorithm is applied to the core teaching evaluation problem through the bias problem of simplifying the ID3 calculation formula and feature values. The detailed implementation process is provided for the key modules of the system. In the system test and analysis based on J2EE and MSSQL2016, the results show that the scheme can realize the sharing and mutual access of educational resources. Its rapid calculation of information gain and the selection of eigenvalues also meet our expectations and it has the advantages of usability, reliability and efficiency.
Bioinformatics analysis of markers based on m6A related to prognosis combined with immune invasion of rectal adenocarcinoma
Authors: Yan Shunkang , Zhang Jiandong , Li Lianghe , Chen Gang , Chen Zhongsheng , Zhan Wei
Published: February 2024

BACKGROUND:

Colorectal cancer (CRC) is a common form of cancer, with rectal cancer accounting for approximately one-third of all cases. Among rectal cancers, 95% are classified as rectal adenocarcinoma (READ). Emerging evidence suggests that long noncoding RNAs (lncRNAs) play a significant role in the development and progression of various cancers. In our study, we aimed to identify differentially expressed lncRNAs potentially associated with m6A and establish a risk assessment model to predict clinical outcomes for READ patients.

METHODS:

The READ dataset from the TCGA database was utilized in this study to synergistically and logically integrate m6A and lncRNA, while employing bioinformatics technology for the identification of suitable biomarkers. A risk prediction model comprising m6A-associated lncRNAs was constructed to investigate the prognostic, diagnostic, and biological functional relevance of these m6A-related lncRNAs.

RESULTS:

Our research builds a composed of three related to m6A lncRNA rectal gland cancer prognosis model, and the model has been proved in the multi-dimensional can serve as the potential of the prognosis of rectal gland cancer biomarkers. Our study constructed a prognostic model of rectal adenocarcinoma consisting of three related m6A lncRNAs: linc00702, ac106900.1 and al583785.1.

CONCLUSION:

The model has been validated as a potential prognostic biomarker for rectal cancer in multiple dimensions, aiming to provide clinicians with an indicator to assess the duration of straight adenocarcinoma. This enables early detection of rectal cancer and offers a promising target for immunotherapy.
Academic ableism and the experiences of disabled and neurodiverse Ph.D. students in LIS programs
Authors: Dali Keren , Charbonneau Deborah H.
Published: February 2024

This article continues the discussion of the experiences of disabled and neurodiverse Ph.D. students in Library and Information Science programs in American and Canadian universities, following up on the previous report that addressed their struggles during and in the immediate aftermath of the COVID-19 pandemic. This article directs attention to their experiences in Ph.D. programs irrespective of the pandemic and focuses on both existing barriers and support mechanisms. Based on the results of a qualitative, online, self-administered survey, guided by hermeneutic phenomenology, the study identifies barriers rooted in attitudes and perceptions; policies and procedures; information and communication; physical spaces; virtual spaces and technology; and access to support services and networks. At the same time, an only mitigating factor and an only sustainable and consistently mentioned support mechanism was the good will, compassion, and supportive actions of individual faculty members. The article places the analysis and interpretation of empirical data in the context of academic ableism, conceptualizing the situation of Ph.D. students as a lingering state that was not improved even through the lessons and experiences of the pandemic.
SocialNER2.0: A comprehensive dataset for enhancing named entity recognition in short human-produced text
Authors: Belbekri Adel , Benchikha Fouzia , Slimani Yahya , Marir Naila
Published: February 2024

Named Entity Recognition (NER) is an essential task in Natural Language Processing (NLP), and deep learning-based models have shown outstanding performance. However, the effectiveness of deep learning models in NER relies heavily on the quality and quantity of labeled training datasets available. A novel and comprehensive training dataset called SocialNER2.0 is proposed to address this challenge. Based on selected datasets dedicated to different tasks related to NER, the SocialNER2.0 construction process involves data selection, extraction, enrichment, conversion, and balancing steps. The pre-trained BERT (Bidirectional Encoder Representations from Transformers) model is fine-tuned using the proposed dataset. Experimental results highlight the superior performance of the fine-tuned BERT in accurately identifying named entities, demonstrating the SocialNER2.0 dataset’s capacity to provide valuable training data for performing NER in human-produced texts.
Leukocytes and Endothelial Cells Participate in the Pathogenesis of Alzheimer’s Disease: Identifying New Biomarkers Mirroring Metabolic Alterations
Authors: Mone Pasquale , De Luca Antonio , Kansakar Urna , Santulli Gaetano
Published: February 2024

Alzheimer’s disease (AD) is a neurodegenerative disorder marked by amyloid-β accumulation, tau dysfunction, and neuroinflammation, involving endothelial cells and leukocytes. The breakdown of the blood-brain barrier allows immune cell infiltration, intensifying inflammation. A decreased ratio of Connexin-37 (Cx37, also known as GJA4: Gap Junction Protein Alpha 4) and Prolyl Hydroxylase Domain-Containing Protein 3 (PHD3, also known as EGLN3: Egl-9 Family Hypoxia Inducible Factor 3), Cx37/PHD3, consistently observed in different AD-related models, may represent a novel potential biomarker of AD, albeit the exact mechanisms underlying this phenomenon, most likely based on gap junction-mediated cellular interaction that modulate the cellular metabolite status, remain to be fully elucidated.
Deep hybrid classification model for leaf disease classification of underground crops
Authors: Salini R. , Charlyn Pushpa Latha G. , Khilar Rashmita
Published: February 2024

Underground crop leave disease classification is the most significant area in the agriculture sector as they are the significant source of carbohydrates for human food. However, a disease-ridden plant could threaten the availability of food for millions of people. Researchers tried to use computer vision (CV) to develop an image classification algorithm that might warn farmers by clicking the images of plant’s leaves to find if the crop is diseased or not. This work develops anew DHCLDC model for underground crop leave disease classification that considers the plants like cassava, potato and groundnut. Here, preprocessing is done by employing median filter, followed by segmentation using Improved U-net (U-Net with nested convolutional block). Further, the features extracted comprise of color features, shape features and improved multi text on (MT) features. Finally, Hybrid classifier (HC) model is developed for DHCLDC, which comprised CNN and LSTM models. The outputs from HC(CNN + LSTM) are then given for improved score level fusion (SLF) from which final detected e are attained. Finally, simulations are done with 3 datasets to show the betterment of HC (CNN + LSTM) based DHCLDC model. The specificity of HC (CNN + LSTM) is high, at 95.41, compared to DBN, NN, RF, KNN, CNN, LSTM, DCNN, and SVM.
The effect of the intensive care unit nurse manpower on care behaviours and stress level on the nurses
Authors: Erol Özgül , Küçükkaya Burcu , Yenici Ecehan
Published: February 2024

BACKGROUND: Nurses working in the intensive care units (ICU) regarding the work-index-nursing work environment, the effect level ICU environment has on the nurses’ care behaviors and stress levels of the nurses should be determined. OBJECTIVE: The study aimed to investigate the effect of the nurse manpower on care behaviours and stress level of the nurses working in the ICU. METHODS: This was a cross-sectional and correlational study. The sample of the study consisted of 123 nurses working in the ICUs. The data were collected using the survey form, Distress Thermometer (DT), The Practice Work Environment Scale of the Nursing Work Index (PES-NWI), and Caring Behaviors Scale-24 (CBS-24). RESULTS: The mean age of nurses in the ICU was 30.2±5.6 and the mean of working time in the intensive care unit of nurses in the ICU was 3.7±3.1 years. The mean of the DT was 4.8±3.4, and the mean score of PES-NWI was 2.6±1.0 and the mean score of CBS-24 was 4.7±1.1 in nurses in the ICU. The regression model which was studied to investigate the relationship between caring behaviors and stress and nurse manpower of nurses working in intensive care unit was significant. CONCLUSION: Care behaviors and stress levels of nurses working in intensive care units are negatively affected by insufficient nurse manpower.
On Probabilities in Quantum Mechanics
Authors: Helland Inge Svein
Published: February 2024

This is an attempt to clarify certain concepts related to a debate on the interpretation of quantum mechanics, a debate between Andrei Khrennikov on the one side and Blake Stacey and R\(\mathrm{\ddot{u}}\)diger Schack on the other side. Central to this debate is the notion of quantum probabilities. I first take up the probability concept in the QBist school, and then refer to my own arguments for the Born formula for calculating quantum probabilities. In that connection, I also sketch some consequences of my approach towards the foundation and interpretation of quantum theory. I discuss my general views on QBism as a possible alternative interpretation before I give some final remarks.
Binary opposition Rich vs. Poor in proverbs and sayings in the Kazakh language
Authors:   L.N. Gumilyov Eurasian National University, Begimova G. , Abdirov O. ,   L.N. Gumilyov Eurasian National University
Published: February 2024

The article deals with the binary opposition of proverbs on the topic “Rich and Poor” in the Kazakh language. The research work is aimed at determining the meaning and level of resistance of the concept of “Rich and Poor” in the proverb. Consideration of the paremia from the point of view of binary opposition is the main idea of the research work. We see that thanks to the possibility of the Anthropolinguistic paradigm, it is possible to freely integrate these fundamental areas. In addition to such stable concepts as theoretical conclusions and hypotheses, classifications related to the motivation of paroemias, the article provides information from the etymology of some words. At the present stage, the solution of textual problems by conducting linguo-folklore studies is very relevant for ethnolinguistics. In the course of the study, methods of comparative and descriptive-historical, analysis and synthesis, and the study of the lingual folklore unit were used. The study of individual units within the paroemia with their placement in opposite positions is also considered. As a result, we were able to determine everything from the origin of the concepts “rich-poor” to semantic reconciliation. The study and its results will be important for researchers in the field of ethnolinguistics, lexicology, paremiology. The results and conclusions of the study can be used in pragmatic cognitive studies, paroemia dictionaries.
International journalism by Bakhyt Rustemov
Authors:   Dagestan State University, Akhmedova R.A.
Published: February 2024

The article examines the area of Kazakh journalism, which is an important indicator that the country is sovereign and independent. This is a genre of international journalism, in the development of which the works of the Kazakh journalist and public figure B.T. Rustemov have certain significance. The purpose of our article: for the first time to consider the work of B.Rustemov; reveal its role in the development of international journalism; analyze the priority direction of his journalistic works; show how the skillfully used printed form of journalism in combination with journalism on the Internet reflects the position of the author and the individual world of a contemporary in the context of international reality; and also reveal the task of B.Rustemov, a journalist, to bring the culture of his people into direct contact with global culture. Discussion works of B. Rustemov, written in hot pursuit, arouse not only interest in the reader, but also polemics, make one think, since B. Rustemov operates with facts in them, taking responsibility for his judgments about the modern world and the role of Kazakhstan in a multinational society, reflecting the important and value guidelines of the Kazakh people. This direction of the author’s journalistic activity reveals an essential feature of his artistic and journalistic style. B.Rustemov’s international journalism is the connecting link of the new Kazakhstan and the whole world