bluuebunny/crossref_metadata_2025 huggingface dataset:
Features of the anatomy of the right half of the heart in the common Gogol (Bucephala clangula)
Authors: Tarasevich V. N. , Zhilin R. A. , Basatskaya Yu. S. , Tarasevich A. N.
Published: May 2024

The common goldeneye (Bucephala clangula) is a sea duck that belongs to the order Anseriformes and the family Anatidae. Due to their lifestyle, they are able to hold their breath for up to 30 minutes and dive to a depth of 10 meters. Such a load on the duck’s body contributes not only to the restructuring of morphological structures, but also to increased heart function. An analysis of the sources showed that the morphology of the heart in mammals and birds has been studied, but no work on the morphology of the right half of the heart in the common goldeneye was found, which was the purpose of our study. The material was hearts from male common goldeneye – 1.5-2 years old (n=3), caught in the bay of the Angara River. Thus, the cardiac index in the common goldeneye was determined to be 83%, and the presence of epicardial fat was noted on the side of the coronary and paroconal sulcus. The right ventricle is located above the level of the apex of the left ventricle, and 70.7% surrounds the borders of the left ventricle. The free appendages of the atrium are formed with the participation of eight pectineal muscles, which in the form of a ridge begin from the muscular valve, and dorsomedially closer to the atrial sinus, become thinner and unite at one point. The length of the pectineal muscle’s ranges at 8.2±0.54 mm, thickness 0.83±0.02 mm. The right ventricle is separated from the atrium by a muscular valve, which has its own characteristics of fastening, where its high part extends from the level of the subsinus groove (interventricular septum), forms the parietal part of the atrioventricular orifice and at the level of the vascular cone narrows slightly and is fixed in two parts to the wall of the ventricle. On the side of the right ventricle, trabeculae are expressed only under the muscular valve, where the crossbars are directed from left to right and downward, from its narrowing. The crossbars are 6.9±0.23 long and 0.83±0.03 mm wide, with jumpers up to 1 mm.
Hematological manifestations of paraneoplastic syndromes in dogs
Authors: Vilmis D. A.
Published: May 2024

Hematological paraneoplastic syndromes are common but poorly studied complications in veterinary oncology, manifested by a variety of hematological changes associated with the system effects of malignant neoplasms on the animal's body. The article presents the results of studying hematological paraneoplastic syndromes, the research involves 131 dogs with spontaneous malignant neoplasms. We used a comprehensive methodological approach, including clinical, instrumental, morphological and hematological research methods. During the morphological study we found out that carcinomas were diagnosed in 33.6% of cases in dogs, of which breast carcinoma was registered in 24.4%, in other cases lung, liver, kidney and abdominal lesions were noted. We also discovered: sarcomas in 22.1% of cases, including hemangiosarcoma of the spleen in 7.6%; and gastrointestinal lymphoma in 16.8% of cases and lymph nodes; in 16.8% of mastocytomas. in 4.6% of melanomas of the skin and mucous membranes; squamous cell carcinoma in 6.1% of cases. As a result of hematological studies, it was revealed that anemia syndrome (18.4%), lymphopenia (16.8%) and thrombocytopenia (15.4%) are the most frequent changes in clinical blood analysis in dogs with oncological diseases. Neutrophilic leukocytosis, leukopenia and thrombocytosis had an identical incidence, which was 12.2% of cases. Monocytosis and lymphocytosis were diagnosed less frequently, in 4.6% of cases. Leukogram changes were observed in 75.4% of cases: in 66.2%, an increase in the percentage of neutrophils was found, with a shift to the left in 38.5% of cases, a decrease in the percentage of lymphocytes in 18.5% of cases, monocytes in 6.2% of cases, eosinophils in 4.6% of cases. The frequency of hematological changes in the general clinical blood analysis of dogs depended on the histogenesis of the tumor. Hematological paraneoplastic syndromes can be used as an early marker of the oncological process, and they can also prevent timely prescription of treatment. Anemia and thrombocytopenia are absolute contraindications for chemotherapy and radiation therapy.
Institutional and Societal Challenges in the Utilization of Information and Communication Technology (ICT) for Transformation of Senior Secondary Education in Rivers State
Authors: Nwovuhoma Ihua-Jonathan
Published: May 2024

The study examined Institutional and Societal Challenges in the Utilization of Information and Communication Technology (ICT) for transformation of Senior Secondary Education in Rivers State. Three research questions and hypotheses guided the study. Descriptive survey design was adopted with a population of 6859 teachers and principals in public senior secondary schools in Rivers State. The sample of the study was 823 which represents 12% of the entire population. A 4-point Likert scale self-structured questionnaire titled Societal and Institutional Challenges to the Utilization of Information and Technology for Secondary Education Questionnaire (SICUICTQ) was used for the study. The instrument which was made up of 30 items had its face and the content validity determined by three experts from the Department of measurement and evaluations while the reliability of the instrument was estimated to be 0.89 using Cronbach alpha coefficient. The data collected were analyzed using mean and standard deviation to answer all research questions while the z test was used to test the hypothesis at 0.05 level significance. A criterion mean of 2.50 was used as the cut-off mean. Any mean greater than 2.50 was regarded as high extent while mean less than 2.50 was low extent. Findings of the study revealed that the availability of ICT facilities in secondary schools was to a low extent, ICT utilization was to a low extent due to lack of training, funding and that funding challenges affect the utilization of ICT for secondary Education Transformation in Rivers State to a high extent. The study recommended amongst others that for the transformation of the secondary educational system, the government and stakeholders of secondary education should provide ICT facilities in schools as well as look into the challenges of utilizing ICT for enhanced utilization of ICT for secondary education transformation.
Beyond Survival: How Does Organisational Support Mediate between Intrapreneurial Strategies and Performance of Public Universities in Kenya?
Authors: K. O. Margaret , M. A. M. Stephen , K. Linda
Published: May 2024

Intrapreneurship is critical for public universities as it helps the universities obtain a competitive advantage. For intrapreneurship to thrive, it should be inculcated in the public university culture, mission, obligations and goals. Studies posit that management support, reward systems, social relationships, knowledge-sharing and work discretion spur intrapreneurial activities in an organisation. It is against this backdrop that this study sought to establish the mediating effect of organisational support on the relationship between intrapreneurial strategies and the performance of public universities in Kenya. The research was guided by the resource dependency theory and utilised a positivist philosophy. A combination of descriptive and explanatory research designs was used. The unit of analysis was 20 public universities, and the unit of observation was 400 participants. A semi-structured questionnaire was used to collect primary data. With the help of SPSS Version 23, quantitative data was analysed, using descriptive and inferential statistics. Qualitative data was analysed using content analysis and the findings were expressed guided by the objectives of the study. Multiple regression models were used to test the association between variables, and the results obtained were presented using figures and tables. A statistically significant (β-0.760, p=0.000<0.05) and partially mediating influence of organisational support on the relationship between intrapreneurial strategies and the performance of public universities in Kenya, was observed. The study concluded that organisational support mediates the relationship between intrapreneurial strategies and the performance of public universities in Kenya. Therefore, the study recommends that public university vice-chancellors create an enabling environment for the adoption of intrapreneurial strategies.
Frugal Innovation and Business Success of Food and Beverage Firms in South-South Nigeria
Authors: C. C. Ifekanandu , C. I. Ihuoma
Published: May 2024

This study examined frugal innovation and business success of food and beverage firms in South-South Nigeria. The study employed the correlational research design. The population of this study consisted of all the 82 registered food and beverage firms in South-South Nigeria. The unit of analysis was made up of managers of the selected food and beverage firms in South-South Nigeria. The sample size was determined using the Taro Yamene’s formula. A structured questionnaire was used to elicit data from the respondents. The data collected were analyzed statistically while the Pearson Product Moment Correlation Coefficient (PPMCC) was used to test the formulated hypotheses. The SPSS software program version 24 was used to correlate the data collected on the study variables. The findings revealed that value innovation has a significant relationship with business success (sales growth and profitability growth) of food and beverage firms in South-South Nigeria. This study also reported that cost cutting advancement has significant positive with business success (sales growth and profitability growth) of food and beverage firms in South-South Nigeria. The study equally revealed that technological innovation has a significant relationship with business success (sales growth and profitability growth) of food and beverage firms in South-South Nigeria. Based on these findings, it was concluded that frugal innovation is a significant predictor of business success of food and beverage firms in South-South Nigeria. Based on the findings and conclusion, it was recommended that food and beverage firms in South-South Nigeria should practice frugal innovation as it would enhance business success of food and beverage firms in South-South Nigeria.
Multiplicity of solutions for a nonlinear nonlocal problem with variable exponent
Authors: Bousgheiri Abdelhak , Ourraoui Anass
Published: May 2024

This work deals with a class of value problem involving the $p(x)$-biharmonic elliptic equation
\begin{equation*}
\begin{gathered}
M_1(\int_{\Omega}\frac{1}{p(x)}|\Delta u|^{p(x)}dx)\Delta^2_{p(x)}u-M_2(\int_{\Omega}\frac{1}{p(x)}|\nabla u|^{p(x)}dx)\Delta_{p(x)}u=\lambda f(x,u)+\mu g(x,u) \quad\text{in }\Omega,\\
u=\Delta u=0,\quad x\in \partial \Omega,
\end{gathered}
\end{equation*}
where $\Omega$ is a bounded domain in $\mathbb{R}^N,~N\geq1.$ with smooth boundary $\partial \Omega.$ Our technical method is based on a theorem obtained by B. Ricceri.
Physics of the Signal Formation in Photopletysmography: Assessment of the Contribution of Light Absorption and Scattering to the Registered Flux of Optical Radiation
Authors: Lapitan D. G. , Tarasov A. P. , Rogatkin D. A.
Published: May 2024

The paper is devoted to the study of physical mechanisms of photoplethysmography (PPG) signal formation using Monte Carlo simulations of light transport in biological tissue. The problem of estimating the contribution of absorption and scattering variations to the registered PPG signal is solved. Based on a three-layer skin model, changes in the optical properties of the dermal layer (absorption and scattering) were sequentially simulated and their contributions to the total signal were estimated. Calculations were carried out for two wavelengths, 525 nm and 810 nm. It was found that for green light the main contribution to the signal formation is made by absorption (88 % versus 12 % scattering, respectively). While for the near infrared light, scattering predominates over absorption. In this case, the contributions of absorption and scattering are 28 % and 72 %. Thus, for the green wavelength range the classical volumetric model of signal formation is valid. Whereas for the near-infrared range, the predominant factor in signal formation is scattering of the medium, which can change due to processes such as changes in orientation, aggregation and deformation of red blood cells, their concentration in the diagnostic volume of tissue, etc.
Primary Specialized Accreditation Medical Physicists
Authors: Chernyaev A. P. , Akopyan Zh. A. , Antipina N. A. , Gavrilova S. A. , Granin D. I. , Gribkov D. M. , Loginova A. A. , Lebedeva Zh. S. , Medvedev P. A. , Loktev V. R. , Лыкова Е. Н. , Moiseev A. N. , Pashkov O. V. , Remizov P. D. , Studenikin F. R. , Fadyukova O. E. , Shcherbakova L. N. , Shcherbakov A. A. , Engraf I. V.
Published: May 2024

Currently, persons with higher professional (non-medical) education and no work experience as medical workers or who have less than five years of work experience as medical workers must undergo primary specialized accreditation.
In order to accredit medical physicists to work in radiation therapy departments on the basis of the Department of Accelerator Physics and Radiation Medicine, Faculty of Physics, Moscow State University named after M.V. Lomonosov developed a bank of 2000 questions.
In 2023, the tasks of the simulation stage were updated and approved. To test the practical skills of medical physicists as part of accreditation, domestic developers from the companies RT 7 LLC and Gradation LLC provided specially designed training modules based on their software, which is currently used, including in radiation therapy departments.
Despite the fact that a lot of work has been done, at present only the starting point has been formed for the launch of primary specialized accreditation in Russia. In the future, constant cooperation between higher educational institutions, accreditation centers and leading cancer centers in our country is necessary to regularly update and improve assessment tools for the accreditation of specialists in the field of medical physics.
A Calculating Model of the Need Radiotherapy Departments with Equipment and Personnel due to an Increase in the Incidence of Cancer
Authors: Mamaeva S. N. , Vasiliev I. V. , Pavlov A. N. , Krylova T.A. A. , Gogoleva T. E.
Published: May 2024

Currently, all over the world, in Russia and the Republic of Sakha (Yakutia), there continues to be a significant increase in the number of cancer diseases, the mortality rate from which is in second place. Existing models for determining the number of devices and employees of a medical institution are mainly based indirectly and directly on the total population of administrative units. However, against the backdrop of an increase in the incidence of malignant neoplasms, it is necessary in the field of providing medical care to the adult population for cancer when determining the equipment parameters of radiotherapy departments to take into account the growing importance of morbidity. This paper presents a model for calculating the quantity of a certain high-tech apparatus, taking into account the incidence of malignant neoplasms as a first approximation in conditions of negligible population growth. Using the example of the radiotherapeutic department of the Yakut Republican dispensary, the initial number of the equipment that satisfies the current needs for medical care for cancer patients of the republic are determined. Based on this an example is made of calculating the number of linear electron accelerators and medical physicists that should be in the department in the near future. The results show that models for calculating equipment and staffing needs need to take into account the increase in cancer incidence.
Long-Range Consequences of Emergency Underground Nuclear Explosions in Yakutia: Incidence of Malignant Neoplasms
Authors: Kononov V. N. , Ignateva G. A. , Petrova K. A. , Mamaeva S. N.
Published: May 2024

The paper evaluates the possibility of interrelation of emergency underground nuclear explosions with an increased incidence of cancer among the population of areas bordering the area of emergency underground nuclear explosions, for example, in Suntarsky and Nyurbinsky districts, in which the incidence of malignant neoplasms, mortality from malignant neoplasms is higher than the average in the Republic of Sakha (Yakutia). For this purpose, the radiation situation of the sites of underground nuclear explosions “Kraton-3” and “Kristall” was investigated: the radionuclide composition of soil and vegetation was studied by semiconductor gamma-ray spectrometry and a water sample by liquid scintillation spectrometry; dosimetric measurements were carried out: the power of exposure doses. Based on the results of water analysis, it is possible to determine the possibility of migration of tritium from the cavities of emergency underground nuclear explosions. The results of the study of vegetation and soil showed the presence of artificial radionuclides 137Cs, 241Am and traces of 60Co. High values of the specific activity of radiocesium are observed in several samples taken near the area “Kraton-3”. Also in this area, the results of dosimetric measurements showed a slight decrease in the gamma background level, but which still remains elevated and exceeds the safe level by 2.5 times. It is possible that the increased incidence rate in the districts of the republic bordering the area of emergency underground nuclear explosions can be considered as their long-term consequences due to additional dose loads, for example, from caesium during the entire time after the explosions, since the half-life of caesium is approximately 30 years. The results of this study can be considered as a basis for the development of recommendations, possible regulations that can be applied in the implementation of compliance with radiation safety standards during future similar tests and during mining, during which there may be emissions of natural radionuclides to the earth's surface.
LCL-T Module Reduction of Offshore Photovoltaic Power Generation System Based on Current Feedback-routh Approximation Method
Authors: Fenghe Jin
Published: May 2024

The rapid development of offshore photovoltaic power generation has attracted more and more attention. Aiming at the problem of poor output power quality caused by the randomness and intermittentness of offshore photovoltaic power generation, LCL filters and isolation transformers are widely used on the AC side of photovoltaic power generation systems to improve the power quality of Grid-connected. Although this method has a good suppression effect on harmonics and DC components, its higher order will result in a larger amount of calculation, especially in the simulation of large-scale photovoltaic grid-connected systems, the operating speed will be too slow. In order to increase the simulation rate while ensuring the quality of the output power, the high order LCL-T (LCL filter and isolation transformer) module of the photovoltaic power generation system is reduced in order. When the transformer is not saturated, the LCL-T module reduction method based on the weighted current feedback method is adopted, and the purpose of simplification is achieved through the zero-pole cancellation of the transfer function; When the transformer is saturated, the LCL-T module reduction method based on the Routh approximation method is adopted, Use advanced mathematics formulas to reduce the order of high-order system equivalent processing. The PSCAD/EMTDC simulation software verifies the off-grid characteristics and simulation rate of the reduced-order model.
Research on Optimization of University Classroom Lighting Environment Based on Computer Simulation
Authors: Wenjing Dong
Published: May 2024

In order to improve the comfort of classroom users and improve the lighting environment of university classrooms, this paper puts forward different optimization schemes based on computer simulation. Dialux, a lighting environment design software, is used to numerically simulate the lighting environment of university classrooms. The classroom lighting scheme is optimized and different solutions are proposed. Through computer simulation, the effect of lighting is compared and analyzed, in order to find the most beneficial scheme for students’ mental health, which provides the basis for intelligent control of classroom lighting. The results show that the average illuminance decreases with the increase of suspension height, and the illuminance uniformity increases first and then decreases with the increase of suspension height. The solution of adjusting the projection direction and surface reflectivity of lamps is not suitable, and upgrading the type of lamps can solve the lighting environment problems and control glare. Increasing the number of lamps and adjusting the arrangement of lamps can improve the lighting environment, increase the average value but reduce the uniformity, but lead to a significant increase in energy consumption. Intelligent control based on computer simulation can solve the coordination problem of energy consumption and lighting effect. Through comparative analysis of the effects of different schemes on the classroom lighting environment in colleges and universities based on computer simulation, this paper provides data support for the selection of improved schemes, which is conducive to the selection of more suitable intelligent lighting control schemes, to ensure students’ mental health and work efficiency, and has certain reference significance for creating a healthy and comfortable classroom lighting environment.
A GIS-based Study of The Impact of HSR Network Distribution on Firms' Total Factor Productivity: Evidence from Listed Manufacturing Firms in China
Authors: Ruiwen Zhang
Published: May 2024

With the rapid development of the economy, enterprises are increasingly pursuing efficient division of labor and communication, and in order to achieve high-quality economic growth and sustainable development, high speed rail (HSR) has been born. Therefore, the study of the impact of HSR accessibility on the total factor productivity (TFP) of enterprises has become a hot topic of research in today's academia. In this paper, firstly, based on GIS network analysis, the routes and stations after opening are matched with the locations of enterprises to describe the spatial correlation between HSR and the locations of enterprises as well as the distribution of HSR among enterprises; secondly, a multi-period difference-in-difference model (DID) is utilized to study the impact of HSR opening on TFP of enterprises on the basis of the data of China's listed manufacturing enterprises in the period of 2000-2017; and The PSM-DID model to test the robustness of the empirical results; finally, the path of the impact of HSR on the TFP is explored. The empirical results are as follows: (1) The distribution of HSR and the location of listed enterprises are highly correlated in terms of geographic distribution information; (2) HSR has a significant impact on the TFP, and the impact effect is different in different periods; (3) HSR mainly affects the TFP of enterprises by using the innovative behavior of enterprises and industrial agglomeration as the mediating variables.
Exploring the Relationship between Open Innovation and Innovation Performance in Big Data Environment: The Moderating Effects of Innovation Expropriability
Authors: Shengjun Wang
Published: May 2024

In the era of big data, the industry environment is complex and volatile, and enterprises need to innovate their business models by creating innovative value networks and reconstructing transaction systems to avoid being eroded in the process of global economic transformation. The traditional closed innovation processes are no longer deemed suitable for advancing firm innovation. Instead, open innovation has become a pivotal strategic choice in the quest to foster innovative developments. This study builds upon the paradox of open innovation (OI) in the age of big data, and introduces the innovation expropriability theory. Utilizing survey data from high-tech industrial park firms in the Yangtze River Delta region of China, it empirically examines the influence of open innovation on firm innovation performance (FIP). Furthermore, it explores the independent and joint moderating effects of rival absorptive capacity (RAC) and appropriability regimes (ARs). The findings reveal that OI significantly improves FIP. The effect of OI on FIP is positively moderated by ARs, while the independent moderating effect of RAC is not significant. However, a joint moderating effect is observed between RAC and ARs. Further investigation reveals that the moderating role of RAC depends on the presence of ARs, indicating a matching relationship between RAC and ARs. This research holds significant implications for firms in implementing open innovation strategies and ensuring effective intellectual property protection to enhance innovation performance in the era of big data.
Research on the Design and Application of Henan Museum Jade Carving Cultural and Creative Products Based on Big Data Analysis in the Artificial Intelligence Environment
Authors: Hui Chen
Published: May 2024

In the enduring tapestry of China’s rich and ancient civilization, the jade culture has unfolded hand in hand with the progression of Chinese society, with the art of jade carving representing its very essence. Through millennia of refinement, jade carving has reached a pinnacle of artistic expression. In today’s era characterized by the rapid advancement of artificial intelligence, the strategic utilization of AI technology and comprehensive data analysis has become pivotal in creating jade sculptures that resonate more deeply with contemporary tastes. In the present age, excessively traditional jade carving designs no longer fully meet the aesthetic demands of contemporary individuals, thus hampering the advancement of the jade carving industry. In order to effectively disseminate Chinese jade culture on a broader scale and foster the growth of the jade industry, it necessitates designers harnessing artificial intelligence technology and utilizing methodologies of big data analysis to create products infused with innovative cultural symbols and contemporary imprints. ade carving products embody distinctive traditional cultural attributes of China, where the key to modern jade carving creative design lies in seamlessly blending traditional cultural artistry with contemporary aesthetic values. Artificial intelligence technology offers excellent facilitative conditions for the innovation and advancement of jade carving. Only by striving for breakthroughs to meet the psychological consumption demands of the new era can we more effectively foster development. His paper, within the realm of artificial intelligence and based on the perspective of big data analysis, conducts a thorough examination and analysis of the existing cultural and creative products developed by the Henan Museum, utilizing elements from its collection of cultural relics. It summarizes the current status and challenges present in the design of cultural and creative jade carving products at the Henan Museum. Finally, it puts forth relevant opinions and recommendations addressing these issues. Furthermore, it aims to provide insights for the development and innovation of cultural and creative products in other museums, offering valuable experiences in this regard.
Data-Driven Strategies in the Evolutionary Game of Green Port Construction: Analyzing Policy Incentives for Shore Power Adoption
Authors: Yuhao Cheng
Published: May 2024

This study addresses the critical challenge of green port construction in China, with a focus on the underutilized potential of shore power technology, through a computational lens. By establishing an evolutionary game model that captures the intricate dynamics among ports, shipping companies, and government agencies, we introduce a computational framework that utilizes advanced data analytics, network simulations, and optimization algorithms to evaluate policy incentives and their efficacy. The heart of our analysis lies in the deployment of network simulation tools and predictive analytics, which facilitate a deep dive into the operational dynamics and strategy adaptations within the tripartite system. Our findings underscore the pivotal role of government subsidies, quantitatively determined through optimization algorithms, in influencing the evolutionary path towards sustainable port operations. The research demonstrates that a carefully calibrated subsidy regime, informed by simulation outcomes and data-driven insights, can significantly boost the adoption of shore power technologies among ports and shipping companies, nurturing a symbiotic relationship that accelerates green construction efforts. Furthermore, the study leverages computational algorithms to simulate initial game scenarios, revealing how the presence of shore power infrastructure and technology-ready ships can catalyze a cooperative push towards environmental goals. Through a comprehensive computational approach, including the use of mathematical modeling and the analysis of vast datasets, the paper highlights the transformative power of policy interventions guided by computational intelligence. The conclusions drawn not only emphasize the necessity for targeted government action but also showcase the potential of computer science methodologies in crafting and implementing effective environmental policies, offering a novel pathway to expedite the green transformation of China’s maritime infrastructure.
A Study on the Relationship between CEO Succession Based on Big Data Information Processing Technology and Corporate Performance
Authors: Ying Liu
Published: May 2024

The recognition of data elements as a crucial production factor in China in 2019 highlights the rising importance of leveraging data assets. The pivotal role of big data information processing technology in economic and financial realms cannot be understated. CEO succession is a pivotal event that heavily influences a company’s performance. However, past research on the correlation between CEO succession and corporate performance has yielded inconclusive results. This study addresses this gap by employing advanced analytical models, namely propensity score matching and difference-in-differences techniques, grounded in the realm of big data information processing technology to explore the intricate relationship between CEO succession and corporate performance. By analyzing data from A-share listed companies spanning from 2014 to 2021, noteworthy insights have emerged. Firstly, a notable negative correlation between CEO succession and corporate performance has been observed, affirming the notion of a “disruptive effect” associated with CEO transitions, leading to a decline in corporate performance. Furthermore, the study sheds light on the multi-faceted nature of factors influencing corporate performance, cautioning against attributing poor performance solely to the CEO. Consequently, enhancing corporate performance demands a nuanced approach that goes beyond mere CEO replacements, emphasizing a holistic strategy encompassing various avenues for improvement.
Evaluation and Improvement Strategies of Teachers’ Information Technology Teaching Ability Based on Data Mining
Authors: Guofang Ren
Published: May 2024

The rapid evolution of emerging technologies such as the Internet of Things, big data analytics, and next-generation artificial intelligence has propelled education through the ranks to new heights. To promote the development of digital education in an all-round way and build a learning country under the strategic action of digital education in China, it is necessary to objectively and accurately evaluate the information-based teaching ability of college teachers. This paper takes the evaluation of teachers’ information-based teaching ability and the construction of promotion strategies as the research object, introduces the composition of teachers’ information-based teaching ability in detail, designs the evaluation index system of teachers’ information-based teaching ability from the perspective of educational digital strategic action, and constructs the promotion strategies of teachers’ information-based teaching ability based on the case study of teaching ability evaluation. The constructed evaluation index of teachers’ informatization teaching ability has strong maneuverability and the evaluation results are objective and accurate, which can be used as an evaluation model in the construction of teachers’ informatization teaching ability in colleges and universities and provide practical guidance for improving teachers’ informatization teaching ability in colleges and universities.
Modal Analysis of Automobile Wheels based on Lightweight Technology
Authors: Xinqiao Ding
Published: May 2024

Compared with traditional wheels, magnesium alloy wheels have the advantages of higher strength, toughness, lighter weight, beautiful appearance and so on. This paper takes magnesium alloy wheel as the research object, and uses Pro/e and ANSYS to help complete a lot of work such as 3D model construction and finite element analysis and calculation, to ensure that the magnesium alloy wheel can meet its strength requirements while being lightweight. The strength analysis and modal analysis of the designed wheel model are carried out under various working conditions. According to the analysis results, the first design model is further simplified, and then the calculation and analysis are repeated many times. It is found that the new model meets the mechanical properties requirements under multi-working conditions, ensures that the requirements of lightweight design are met, and provides relevant theories and methods for wheel design and structural optimization of other materials.
Face Mask Detection Based on Improved YOLOv8
Authors: Bingyan Lin
Published: May 2024

The detection of face mask wear is one of the essential measures to prevent the spread of infectious diseases in public places. In order to balance the is-sues of inference speed and performance of target detection models on em-bedded devices, this paper proposes a face mask detection based on the im-proved YOLOv8 algorithm, YOLOv8n-SLIM-DYHEAD. By improving the YOLOv8n algorithm, the balance between detection time and accuracy is-sues is achieved. The Mosaic data augmentation method is used to increase the detection targets of various sizes, enrich the sample dataset of masks of various scales. On the neck network, the Slim-neck structure is used to fuse features of different sizes extracted by the leading network, reducing the complexity of the model while maintaining accuracy. In the detection layer, DyHead is used to integrate better feature diversity caused by target scale differences and target shape position differences. Experimental results show that the improved algorithm YOLOv8n-SLIM-DYHEAD has increased the mAP @0.5 and mAP @0.5:0.95 of the original YOLOv8n algorithm by 2.1 and 5.5 percentage points, respectively. In addition, the complexity and pa-rameters of the model have remained relatively high, and it can accurately detect the wearing of masks in real-time.
Investigating the Interaction Between Social Media Use and Depression among the Young
Authors: Truong My An
Published: May 2024

Purpose – This paper investigates how depression and social media use are related among the young, encompassing how utilization of social media affects depression, how depression impacts social media use, and the correlation between social media use and depression.
Methodology – Applying the literature review method, Scopus, Web of Science, Emerald, Science Direct, JSTOR, Wiley Online Library, SpringerLink, Taylor and Francis Online were selected as search databases and identified 17 papers that fulfilled the authors’ requirements.
Findings – First, social media use and depression can be impacted by geographical locations between the East and the West. Second, the amount of time, the quantity, and the behavior of the young spend on social media significantly impact their well-being. Third, the correlation between depression and social media use is influenced by ideological representation, besides FOMO. The association between social media use and depression might also be significantly mediated by personality traits.
Value – The association between social media use and depression was determined in the present investigation. First, the literature review addressing the connection between social media use and depression among the young was assembled. Second, possible explanations for the discrepancies in the results were presented. Third, potential relationships between social media use and depression were clarified.
Performance Investigation on PMSG based Fractional Frequency Transmission Systems via XLPE cables for Offshore Wind Power
Authors: Thimma Reddy Narasimha Reddy
Published: May 2024

Presently, the research on Fractional Frequency Transmission System (FFTS) is fastened for the megawatt Offshore Wind Farms (OWF). FFTS has an ability to overcome the problem of charging current presented in the HVAC transmission and will effectively serve as an alternative to the traditional transmission systems. The basic structures and characteristics of a typical PMSG-based FFTS via XLPE cable for offshore wind power system is proposed and described first. Then the technical performance of power transmission through XLPE cable is evaluated by comparing the different cables such as flat and trefoil formation. Simulation results showcase notable enhancements in power transfer capacity, decreased power losses, and improved performance of control schemes. The feasibility studies describe the performance of FFTS (16.67 Hz) via trefoil cable is superior than FFTS flat formation cable transmission.
IoT Based Smart Healthcare Monitoring System for the Paralysis and Mute Person
Authors: Mahendran P
Published: May 2024

Flex sensors are used by the IOT-based smart healthcare monitoring system for paralyzed and silent people to identify their requirements. The system includes temperature and pulse rate monitoring, and it transmits and displays real-time data updates via Internet of Things to an LCD. The brain of the system is an Arduino or CPU, which gathers and processes input from several sensors and coordinates all of the system's functions. It displays vital sign data, interpreted requirements, and any alarms or messages that the patient or caregivers may observe in real time. Because of its Internet of Things (IOT) characteristics, this system can send gathered data to distant servers or devices over the internet. This makes it possible for caregivers or healthcare professionals to view the patient's data remotely for tracking and prompt action. In the event that any sensor readings exceed predetermined thresholds indicating critical circumstances, an alarm system is included to rapidly contact caretakers or medical personnel. The buzzer functions as an auditory alert that requires quick attention. Caregivers are alerted by a buzzer when high sensor readings are detected. The method uses audio playback to convey requirements that have been discovered in order to improve communication with patients who are silent. By delivering timely information and promoting efficient communication, this integrated approach improves treatment for people with paralysis and those who are silent. It also makes the healthcare environment more responsive and patient-centered.
Analysis of P-N Junction Length of Drain and Source in MOSFET Transistor Through TCAD Simulation
Authors: Debasis Mukherjee
Published: May 2024

This paper delves into the convergence of mathematical and computer science principles within the realm of electronics engineering, particularly focusing on device-level transistor restructuring. A pressing challenge confronting the semiconductor sector is the persistent escalation of leakage current alongside technological advancements. At the heart of any chip or semiconductor device lies the transistor, serving as its fundamental building block. Among the various forms of leakage current, subthreshold leakage stands out as a dominant component in transistors. Within this study, a systematic exploration of the numerical association governing the physical configuration of MOSFET and leakage amount specifically the subthreshold one is undertaken. One innovative algorithm is crafted to facilitate the automated tracking of transistor structures, laying the groundwork for subsequent analyses. The simulation framework is meticulously constructed by leveraging mathematical formulations derived from the algorithmic outputs. Remarkably, the results obtained from the simulation conducted through TCAD software exhibit a remarkable proximity to established mathematical models. Given the ubiquity of Complementary Metal Oxide Semiconductor (CMOS) technology in contemporary semiconductor fabrication, it serves as the cornerstone for the simulation endeavours herein.
IMAR in Frequency Domain for Separating Speech Signals by STFT
Authors: C Anna Palagan
Published: May 2024

Blind Source Separation is a statistical method for isolating signals coming from unidentified sources that have been picked up by a variety of sensors. In the fields of biological signal analysis and speech analysis technology, it is an active researcher. The quantity of noise that is present in the signal throughout the speech signal separation process is a disadvantage. This noise affects the signal that has been separated, and it is often loud melodic noise. For the purpose of separating speech signals from BSS, the suggested method makes use of a network that is configured with the parameters of Instantaneous Mixing in addition to an Auto Regressive model and a maximum-likelihood function. In order to separate the individual voice signal from the input mixed signals, the Back Propagation Network is put into operation. The Short Time Fourier Transform is then utilized for the purpose of dividing the spoken stream into extremely precise time periods. Next, Maximum-likelihood method is implemented to determine the optimum values of the IMAR model's W and G parameters. This step is done after the ideal values have been estimated. The suggested model was tested using a combination of voice signals and microphone signals, and the results demonstrated that it provided superior execution in comparison to other algorithms that are currently in use.
A Review on Poles Demagnetization in Permanent Magnet Motors
Authors: Mitul G. Patel
Published: May 2024

Permanent magnet motors like BLDC and PMSM are widely used in industry and electric vehicles. Demagnetization of permanent poles in motors is the biggest problem. To design a machine that has good efficiency and no demagnetization problems, real-time fault diagnosis is necessary. Various causes of demagnetization, detection, and measuring methods are discussed by researchers analyzed in this paper. Apart from the comparison of different methods of fault detection, a general comparison among the different methods of various strategies has been made based on the torque ripple, analysis of harmonics, current waveform, back e.m.f. waveform and losses of the PM motor. Finite Element Analysis (FEA) and analytical method adopted by some researchers to get the results. Moreover, considering the importance of BLDC in the electric vehicles (EVs) industry, the selection of the best method to detect demagnetization has been discussed.
A Comprehensive Approach to Brain Tumor Classification in MRI: Unifying Classical Local Binary Patterns and Convolution Neural Networks
Authors: Srinivas Babu Gottipati
Published: May 2024

Brain tumors, among the most perilous neurological disorders affecting the human nervous system, are categorized into glioma, meningioma, and Pituitary types. The proposed system combines Classical Local Binary Patterns (CLBP), Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNN) to extract texture information from MRI images. The methodology comprises three key steps: image pre-processing, feature extraction, and classification. By evaluating a publicly accessible brain tumor dataset, the proposed approach attains an impressive accuracy of 96%. The findings highlight the potential uses of the CLBP+CNN approach in clinical diagnosis and treatment planning, demonstrating the possibility of accurate and efficient brain tumor classification. The proposal introduces future extension methods like CLBPs (DLBP, ӨLBP), where the DLBP approach incorporates a 'D' parameter specifying the distance between neighboring pixels. The ӨLBP Method evaluates the pixel value by changing the 'Ө' value, i.e., 150, 450, 900 and 1200. The classification of tumors involved the application of various classification methods, namely ANN (Artificial Neural Networks), AlDE (Ant Lion Optimizer Differential Evolution), and LDA (Linear Discriminant Analysis). This classification is executed using feature extractions derived from CLBP (DLBP & ӨLBP) applied to MRI images within the dataset.
Enhanced Sarcasm and Emotion Detection Through Unified Model of Transformer and FCNets
Authors: Prajakta P. Shelke
Published: May 2024

In this study, we present a unified model for efficient emotion and sarcasm identification in many languages. We accomplish resilient performance by integrating hybrid transformers and fully connected networks (FCNets) in our methodology. Extracting datasets in several languages, doing exploratory data analysis, preprocessing, extracting features, training and testing models, and finally deploying the system are all essential processes in the suggested strategy. Using a variety of models throughout training, we apply deep learning approaches to the problem of sarcasm and emotion recognition. The Flask framework chooses the model with the best performance to deploy. When applied to situations involving many languages, our method shows to be far more efficient and effective at identifying instances of sarcasm and emotion. Our model gives accuracy of 93.130 % for identifying sarcasm and emotion.
“Clustering Protocol Based on Territorial Energy for Random Deployment of Wireless Sensor Networks"
Authors: Tushar Suresh Mote
Published: May 2024

Wireless Sensor Networks (WSNs) have become increasingly essential for monitoring and gathering data in diverse environments. The efficient utilization of energy resources is crucial for prolonging the network lifetime in WSNs. This paper presents a comparative analysis of three prominent clustering protocols: Low Energy Adaptive Clustering Hierarchy (LEACH), Residual Energy Aware Clustering (REAC), and Territorial Energy-Driven Clustering Protocol (TEDC). TEDC introduces a novel approach where cluster heads are elected based on territorial dominance and energy levels, aiming to enhance energy efficiency and prolong network lifetime. The performance of LEACH, REAC, and TEDC is evaluated under various scenarios, including node density, network size, and communication range. Key performance metrics such as energy consumption, network lifetime, and packet delivery ratio are analyzed to assess the effectiveness of each protocol. The results provide valuable insights into the comparative strengths and weaknesses of these protocols, aiding network designers and researchers in selecting the most suitable protocol for specific WSN deployments. Additionally, the paper discusses potential optimizations and future research directions to further enhance the performance of clustering protocols in WSNs.