bluuebunny/crossref_metadata_2025 huggingface dataset:
Indicators of the general resistance of breeding bulls depending on age, origin and breed
Authors: Abilov A. I. , Novgorodova I. P. , Artemieva O. A. , Кombarova N. A. , Кorneenko-Giljev Ya. A.
Published: May 2024

Humoral factors such as bactericidal and lysozyme activity are the most significant for the body's resistance. The purpose of the research was to study the nonspecific resistance of sires depending on age, place of adaptation before entering the Russian Federation, origin and breed. The work was carried out at JSC “Head Reproduction Center” (JSC “GCV”) on animals aged from 2 to 9 years in the amount of 34 heads. Such indicators as the percentage of lysis, the amount of lysozyme (mcg) in 1 ml of blood serum, specific units of activity (u.a.) calculated per 1 mg of protein and the bactericidal activity of blood serum as a percentage were studied. Lysozyme (LASK) and bactericidal activity (BASK) were studied using a Multiskan FC microbiological analyzer (Finland). Thus, it has been established that the general resistance of sires depends on age and has significant differences between animals of different age groups. At the age of 2-3 years there is no reliability. Significant differences between bulls according to the parameters we studied begin from 5 years of age at P <0.05 in the concentration of total protein and lysozyme and specific units. A. squirrel. Age range had no effect on BAS. More noticeable significant differences were recorded in animals (of contrasting age periods) in terms of general resistance and had significant differences at the level of P≤0.01 in the percentage of lysis, in the amount of lysozyme in the blood serum (P≤0.001), and specific units of activity (P≤0.001). It was found that sires coming from different regions of Europe (the Netherlands and Germany + Luxembourg) in the same age range do not have significant differences among themselves in the overall resistance of the parameters we studied (BASK and LASK) under the conditions of their operation in the Moscow region RF.
Skeletotopic features of the chin opening in animals
Authors: Ivantsov V. A. , Korableva D. D. , Skvortsova A. A.
Published: May 2024

The article presents the features in the skeletotopia of the mental foramen in different animal species (sheep, horse, dog). The research was conducted at the Department of Anatomy and Histology of Animals named after Prof. A.F. Klimov of the K.I. Skryabin Moscow State Automobile Academy of Veterinary Medicine and Biology. The object of the study was: sexually mature sheep (Ovis aries) (n=10), domestic horse (Equus caballus) (n=10) and dog (Canis lupus familiaris) (n=10). The material for the research was mandibles (n=30). A comprehensive methodological approach was used, including anatomical preparation and measurement of linear parameters (height of the mandibular body and distance from the chin aperture to the upper edge of the diastema) with subsequent digital processing of the results. Based on these studies, species regularities and peculiarities of anatomical organization of the mental foramen in different taxonomic groups were revealed. At the analysis of the received linear parameters the index of relative height of a chin aperture was calculated, which is a percentage relation of distance from a chin aperture to the top edge of diastema to height of a body of a mandible on which it is established, that on the digital expressions the dog (69) was in the lead, while the sheep (36) had the minimum digital values. Horse (51) occupied an intermediate position according to the studied index. The results obtained can be used in the development of new methods of tooth extirpation, in the performance of local anesthesia of the trigeminal nerve in veterinary dentistry, as well as in the identification of the animal species by the head skeleton.
Seasonal manifestations of rotting hoof arrows in horses
Authors: Kirillov A. A. , Stekolnikov A. A.
Published: May 2024

Hoof health and regular hoof care are fundamental to all horses and help prevent injury and disease. Lameness is the main clinical sign, when identified, owners are horrified to realize that this can lead to a stop in the training process and, as a result, significant economic losses. Hoof diseases are one of the most common causes of lameness. Therefore, maintaining all components of the hoof in a healthy condition remains an important task facing owners. To conduct the study during 2023, an orthopedic examination and routine hoof trimming of 800 horses were carried out in the conditions of equestrian centers of the St. Petersburg and Leningrad region. This study was aimed at studying the distribution of diseases of the distal limb and determining the most common pathology. A study was conducted to study the seasonal manifestations of hoof rot in horses. Based on the research conducted, an analysis of the data obtained was made. After an orthopedic examination of 800 animals, 230 were diagnosed with diseases of the distal limbs of various etiologies, of which frog rot was detected in 89 animals. This pathology can progress and cause irreversible lameness if it is not diagnosed in a timely manner and appropriate measures are not taken to stop the pathological focus. Rotting of the frog is a very common headache for both owners and hoof care professionals. Therefore, the issue of prevention and early detection of the disease is relevant for research and economically justifiable for owners of expensive animals.
Parasitic Cyathocephalus Truncatus cestodes as an indicator of localization of self-naturalized populations of American char (Salvelinus Fontinalis) in the Strelka River basin
Authors: Novikov A. A. , Semenenko N. A.
Published: May 2024

The Northwestern Federal District holds a leading position in the commercial fish farming of the country. In particular, the Leningrad Region occupies the second place among producers of commercial fish in the region, the fisheries complex of which includes 200 enterprises. The main object of aquaculture is rainbow trout (97.1%). Parasitic diseases often occur in fish farms. To make a diagnosis, a comprehensive examination is carried out, including the collection of epizootological data, a clinical examination, a diagnostic autopsy and laboratory tests. This article describes a case of cyatocephalosis epizootics in an operating fish farming. The causative agent of the disease is Cyathocephalus truncatus cestode, belonging to the order Pseudophyllidea, family. Cyathocephalidae. It parasitizes the pyloric appendages of mainly salmonid fish. The development of C. truncatus occurs with the participation of one intermediate host, which are crustaceans: Rivulogammarus pulex, R. spinicaudatum, Pontogammarus bosniacus, Pontopereia hoi, Pallasea quadrispinosa. To determine the causes of infection of rainbow trout juveniles, an assessment of the infestation of final and intermediate hosts, the seasonality of invasion in 2021-2022, as well as control catches of the head pond and Mill Creek belonging to the Strelka River basin was performed. During the study, 16 individuals of different ages of American char were caught, 6 of them were subjected to a partial parasitological autopsy for infection with cyatocephalosis. As a result of the study, C. truncatus cestodes were exposed in all individuals in an amount from 2 to 5. Consequently, the absence of cases of progenesis in procercoids of intermediate hosts of gammarid crustaceans, infection with parasitic cestode of both final and intermediate hosts allowed us to conclude that the final hosts of the parasite, salmon-like fish species, are present in the enterprise's water supply system. Thus, the parasitic cestode contributed to the self-naturalization of the American char population, the reproduction and cultivation of which in this water source ended in the 1970s, and has been considered lost until now.
Knowledge and Uptake of Community-Based Healthcare Financing in Management of Non-Communicable Diseases among Community Members in Anambra State, Nigeria
Authors: E. J. Ojilere , C. I. Ilo
Published: May 2024

Background: Catastrophic health expenditure is one of the challenges people living with non-communicable disease face, especially in Nigeria. This has led to the emergence of community-based health insurance as a means to achieve universal health coverage and reduce out-of-pocket payments. However, lack of knowledge about the insurance scheme and how it helps to manage non-communicable diseases seems to affect utilization. Aim: The study assessed the knowledge and uptake of community based healthcare financing in the management of non-communicable diseases among community members in Anambra State. Materials and Methods: A descriptive cross-sectional survey design was adopted for the study, sample size was 444 and a multistage sampling technique was used. The instrument for data collection was a self structured questionnaire and data obtained were analyzed using Microsoft excel, descriptive statistics, inferential statistics for hypothesis testing and IBM statistical package for social Sciences (SPSS) version 29. Results: 64.1% had a good knowledge of community based healthcare financing; 51.4% managed their health condition through hospital visits under CBHI. There was a significant relationship between the level of education of respondents and their level of knowledge of community based health insurance (p-value 0.001 < 0.05). Conclusion: Majority had a good knowledge; those suffering pregnancy related non-communicable diseases used the insurance more although half of the respondents still pay through their pocket. The following recommendations were made: increase access to community-based healthcare financing information, encourage those in the informal sector to enroll and plan benefit packages to have wide illness coverage.
Pragmatic Acts in Characters’ Utterances in Femi Osofisan’s Women of Owu
Authors: O. Adeoti Oluwatomi
Published: May 2024

Studies on Femi Osofisan’s Women of Owu have examined the use of lexical choices and discourse markers in the drama text neglecting the choice of meaning negotiation in characters’ utterances. This paper, therefore, undertook a pragmatic investigation of how meanings and actions are generated in a play text using Femi Osofisan’s Women of Owu. Mey’s (2001) Pragmatic Act theory was used alongside implicature and presupposition as elements of pragmatics to analyse five (5) purposively selected extracts from the play. This is done to critically bring to the fore the practs performed in the utterances, the maxims obeyed and those flouted and the type of presupposition made. Findings revealed that the practs of informing, explaining, stating, naming, and influencing were used in the text unveil the thought pattern of the audience. The paper also revealed that the pivotal role context plays in decoding the exact meaning(s) conveyed in each of the extracted utterances. Context is instrumental to the performance of certain acts. From this, the paper concludes that in order to do things with words and to use characters to communicate effectively in any given context, especially in tradition based plays like Women of Owu, a writer needs to have the knowledge of grammar as well as the knowledge of how to use language from a functional perspective in the contextual and traditional backgrounds.
Some common fixed point results on ( psi, phi)-contraction
Authors: Arya Mahesh  Chandra , Chandra N. , Joshi Mahesh C.
Published: May 2024

The aim of the paper is to obtain common fixed point theorems for ( psi, phi)-contraction under the generalized rational type condition in a complete metric space. Moreover, these theorems generalize recent well known results in the literature.
Fault Diagnosis of Rotating Machinery Bearings Based on Multi-Scale Attention Feature Fusion under Few Shot and Complex Working Conditions
Authors: Ye Rong
Published: May 2024

Accidents caused by failures in rotating machinery bearings have heightened attention in bearing failure diagnosis. Scholars have explored methods to build fault diagnosis models to tackle the challenge of creating diagnostic models with few bearing failure samples available. However, many diagnostic models may suffer from overfitting issues under insufficient samples, affecting fault diagnosis performance. Additionally, rotating machinery operates under changing, complex conditions and noise interference, further deteriorating the effectiveness of fault diagnosis. This paper proposes a fault diagnosis model based on multi-scale attentional feature fusion (FD-MSAFF) to address the issue above. This model comprises a multi-scale feature extraction module, an attentional feature fusion module, and an MMD-based weighted prototype network. The FD-MSAFF model improves few-shot learning by using its multi-scale feature extraction and depth-wise separable attention modules to blend multi-scale features effectively with contextual information. It also tackles classification issues in few-shot sizes with its MMD-weighted prototype network, which is less susceptible to noise. Simulated tests under complex scenarios, such as changing conditions, noise variations, cross-bearing conditions, and comparisons with other algorithms, have proven the FD-MSAFF model's superior accuracy and generalization in diagnosing bearing faults in rotating machinery.
A Blockchain Empowered Smart Home Access Scheme Based on Zero-trust Architecture
Authors: Peng Liu
Published: May 2024

The rapid popularity of smart home devices worldwide has brought a lot of convenience to people’s lives and spawned numerous new applications. However, it has also elevated data and privacy security risks in household scenarios to an unprecedented level. In this paper, we propose a device access solution based on a zero-trust network architecture to address the cybersecurity risks in smart home scenarios. The proposed solution utilizes a zero-knowledge identity verification algorithm based on quadratic residues to achieve mutual authentication and authorization between devices and central control without exposing device privacy. To enhance the efficiency of verification and authorization, we introduce an incentive model based on information asymmetric algorithms, distributing a portion of the verification tasks to devices with redundant computing power. By comparing with traditional methods, this solution demonstrates higher security, improved verification efficiency, and optimized allocation of computing resources, all while protecting device privacy.
The Impact of the Application of Artificial Intelligence Technology on the Design Practice of Sports Visual Communication
Authors: Jinlong Lyu
Published: May 2024

With the rapid development and application of artificial intelligence (AI) technology, the field of sports visual communication is undergoing unprecedented changes. This paper aims to explore the application of AI technology in the practice of sports visual design, and its impact on visual communication effects and design processes. Through the innovative application of sports visual elements and the optimization of visual design processes, this paper reveals how AI technology can improve the efficiency and quality of sports visual communication, and also points out the challenges and limitations it brings. It is of great significance to promote technological innovation and design improvement in the field of sports visual communication and also provides useful inspiration for exploring the application of AI technology in a wider field of visual design.
Character Data Mining in Educational Scene
Authors: Xuemei Shi
Published: May 2024

Teaching and learning have been completely transformed by the quick growth of information technologies like big data, artificial intelligence, and the Internet of Things. Traditional educational methods can no longer satisfy the demands of modern fast-paced and lifelong learning, making the mining of educational data more urgent. Character mining in images is increasingly applied in educational settings. Artificial intelligence and machine learning algorithms, learning behaviors, such as CNN(Convolutional Neural Networks and RNN()Recurrent Neural Networks), have been used, to predict student performance, and provide personalized recommendations for educational resources. Therefore, research on the application of character mining in educational scenes should be conducted and implemented using OCR technology and the CRNN algorithm. The prediction and mining results are promising and hold commercial value. With the diversification of educational scenarios, the adaptability and flexibility of algorithms will become important research directions. Ultimately, the advancement of these technologies will further drive the digital transformation of education, providing learners with richer and more efficient learning resources.
Research on the Path of Dependent Upgrading of Industrial Digital Service Providers
Authors: Wenjun Zheng
Published: May 2024

In the era of Industry 4.0, characterized by the rapid evolution of the Internet and modern digital innovation technologies, the digital economy is experiencing steady growth. The acceleration of digital technology innovation and iteration not only enhances social productivity and optimizes resource allocation but also introduces new challenges. This article takes Zhejiang Juyang Technology Co., LTD. as the research object, mainly analyzing the path of Juyang's digital transformation relying on Alibaba platform. The team summarizes the development process and successful digital transformation experience of Juyang through field research, online and offline data collection, questionnaire survey and other methods, based on literature analysis. Based on the three stages of integration, symbiosis and autonomy, the article explores the path of "integration-symbiosis-autonomy" in the process of enterprise transformation and upgrading, and summarizes some valuable experience and enlightenment, hoping to provide reference for the digital transformation of enterprises.
The Pathways of Digital Innovation in Manufacturing Enterprises: Based on Dynamic Capabilitie
Authors: Weiwei Dong
Published: May 2024

As the global digital economy continues to evolve, manufacturing companies are encountering the necessity to shift from conventional methods to digital solutions, including cloud services and big data analytics. The objective of this research is to investigate the ways in which the capabilities of digital platforms facilitate digital innovation within enterprises. Grounded in the relevant theories of dynamic capability and open innovation, a research model among variables is constructed, and empirical test is conducted through a questionnaire. The findings of the analysis indicate that: First, digital platform capability promotes the realization of digital innovation through the joint action of platform integration and platform reconstruction; Second, organizational agility plays a partially mediating role. The research results have some practical guiding value for manufacturing enterprises to realize innovation by using information technology during the digital economic era.
The Effect of Augmented Reality Interactivity on Consumer Brand Engagement — A Chain Mediating Model
Authors: Weiwei Dong
Published: May 2024

The use of augmented reality (AR) technology has changed the way companies and consumers engage with brands. Although some theoretical literature points out that the interactivity of augmented reality helps to improve consumer brand engagement, there is a lack of systematic empirical research on how the interactivity of augmented reality affects consumer brand engagement through process mechanisms. Based on the understanding of existing research gaps, relying on the theory of social presence and brand authenticity and 368 online questionnaire data, we constructed a structural equation model containing the chain mediation effect, and explored the chain mediation effect of social presence and perceived brand authenticity, as well as the moderating effect of psychological ownership and self-consistency. The results indicated that (1) augmented reality interactivity had a significant positive effect on consumer brand engagement; (2) social presence and perceived brand authenticity had a significant positive effect on consumer brand engagement; (3) social presence and perceived brand authenticity partially mediated between augmented reality interactivity and consumer brand engagement, and together they acted as a chain mediator; and (4) Psychological ownership positively moderates the relationship between social presence and consumer brand engagement; (5) Self-congruence positively moderates the relationship between perceived brand authenticity and consumer brand engagement; and (6) Consumer brand engagement has a significant positive effect on word-of-mouth communication and brand use intention. This study enriches the research on the interface between augmented reality technology and brand management, and provides practical significance for enterprises to utilize AR technology for brand marketing.
Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning
Authors: Kai Wu
Published: May 2024

The self-learning method is used to realize the online monitoring of optical cable after the fault occurs. According to the fuzzy characteristic of cable fault, a fuzzy basis function network is constructed which is similar to nonlinear function. Thus, the dynamic characteristics of the cable system are obtained. Then, this paper iterates each additional sample to realize the learning of the center point and radial of the network. A normal multivariable fuzzy distribution is used to determine the expected output of the new sample, and recursive operations are performed on the matrix and covariance matrix of the original sample. In this way, all failure probability distributions at the sampling points are obtained. Finally, the hardware module of the system is designed from two aspects: the distributed short-circuit fault collecting and processing equipment and the on-line temperature measuring equipment for grounding fault. In this way, the functions of software module reset, storage and communication are realized.
Advantages, Risks, and Safeguards on Digital Engagement to Elderly Mental Health: A Literature Review of China
Authors: Yingchuan Yan
Published: May 2024

Recently, China's elderly population has confronted escalating mental health challenges, and prompted immediate interventions. This study roots in an extensive literature review, and explores the potential of digital engagement as a solution. By analyzing the relevant domestic and international publications, the researches delved into the interplay between digital engagement and elderly mental health. Findings indicates that digital platforms play a pivotal role in granting the elderly vital health information and fostering intergenerational communication. The internet notably boosts the elderly's social capital, improves life satisfaction, and defies age-associated productivity misconceptions. However, over-reliance on digital platforms risks reducing personal interactions, further straining their mental health. For optimal mental well-being enhancement via digital tools, a collaborative approach involving the government, community entities, families, and the elderly is paramount. As we leverage these digital advantages, it is crucial to stay vigilant to potential pitfalls, and it aims to a holistic strategy towards elderly mental health.
The Effect of Combined Synthetic Tabular Data Generated Using CTGAN Model with Actual Data on Performance of DHF, Varicella, and COVID-19 Recognition Model
Authors: Husni Iskandar Pohan
Published: May 2024

There are several quickly spreading illnesses such as DHFs spread by mosquitoes, COVID-19 spreads through respiratory droplets and contact with contaminated surfaces, and Varicella spreads by direct touch. The transmission rate of these diseases can be reduced if medical services can identify them early. However, the performance of the prediction model based on the machine learning approach is limited by the availability of labeled patient datasets.  This study showed some empirical evidence of the use of synthetic data generated using actual medical records as the basis to improve the performance of the prediction model. The empirical results showed that the Decision Tree algorithm which is trained using a mixed synthetic and actual dataset can achieve 91.98% average accuracy which is higher than model performance which is trained using real dataset only. The results of model interpretation using Shapley Additive Explanations have the advantage of measuring the overall dominant features and indicating that the top five most important features are vThrombocyte, vTemp, vCough, vSpot, and vNauseous.
Tour Sentiments Personalized Recommendations System Using AI and Deep Learning
Authors: Jay Thakker
Published: May 2024

In a world saturated with travel information overload and generic recommendations, "Tour Sentiments: A Personalized Travel Recommendation System Using AI " emerges as a groundbreaking initiative. This project seeks to transform travel planning by harnessing the capabilities of Artificial Intelligence and real-time google Maps with street view and duration of travel. The primary goal of 'Tour Sentiments' is to create a personalized travel recommendation system that adapts to the changing emotions and preferences of travelers. By employing real-time sentiment analysis using google gemini, the system aims to offer tailored suggestions that align closely with individuals' current feelings and desires, departing from conventional one-size-fits-all approaches. Beyond mere efficiency, the ultimate vision of 'Tour Sentiments' is to elevate the travel experience, infusing it with joy, discovery, and lasting memories. Through the amalgamation of AI and sentiment analysis, the project aspires to make global exploration more accessible and captivating, setting a new standard for personalized travel guidance and enriching journeys worldwide.
IOT Based Monitoring Model to Identify and Classify the Grading of Fruits and Vegetables
Authors: Krishna Kant Agarwal
Published: May 2024

Thirty to forty percent of the fruits and vegetables harvested are discarded at this time due to the large number of employees with no training.  A growing problem throughout reaping is fruit and vegetable waste because human judgment is subjective when it comes to crop recognition, categorization, and assessment.  The fruit and vegetable business is in serious require of the launch and deployment of a robotic system in order to classify and grade fruits and vegetables based on their level of ripeness. Machine learning techniques can produce a sophisticated machine learning framework that can differentiate among fruits and vegetables based upon their category, variation, development, and preservation using relevant and suitable computational imaging ideas. We analyzed, contrasted, and proposed an Internet of Things-based monitoring approach in this work for identifying, classifying, and grading fruits and vegetables.
Machine Learning Algorithms as a Boon for Chronic Kidney Disease Prediction
Authors: Reshma Dayma
Published: May 2024

Chronic kidney disease (CKD) is one type of condition where kidney function damage over several month or year. In body, kidney’s main task is to filter impurities and waste from blood which is flush out from body in form of urine. But because of some condition or diseases, in which the kidneys are damaged and cannot filter blood as well as it should. People with kidney disease may not feel ill or notice any symptoms in early stage but it is very serious problem as it may lead to complete failure of kidneys. Machine learning (ML) techniques are used for prediction. Here we have created machine learning model for CKD prediction. We have use three algorithms, logistic regression, support vector machine (SVM) and random forest with feature selection technique and finally applied bagging method on it. we have applied this model on chronic kidney dataset which have derived from UCI machine learning repository. This model predict person have chronic kidney disease or not.
An Efficient Deep Learning Approach for Detection of COVID-19 from Chest CT Scan Images
Authors: Pravin Bhimbhai Patil
Published: May 2024

The virus is responsible for A person infected with the coronavirus may transmit the disease to others by the droplets released when they cough, sneeze, or breath. The two most common ways for a person to get the virus are via direct contact with an infected surface or by breathing in droplets that an infected person nearby releases into the air. When infected, the majority of people only have mild to moderate symptoms. The rapid onset of lung inflammation characterizes acute respiratory distress syndrome (ARSD), which is experienced by individuals with severe symptoms. Serious complications, including blood clots, multiple organ failures, and other life-threatening issues, may arise out of nowhere, and in extreme cases, the patient may not survive.Put another way, COVID-19 causes an unfavourable infection in our lungs, making it impossible for a person to breathe properly.. This paper's overarching goal is to examine and contrast CT scan pictures of individuals with coronavirus infections with those of people who may not have the virus or who may be suffering from other types of pneumonia. Also we have compared our present research VGG19 model with optimizer Adamax with our previous VGG19 model in this research work. The VGG19 model with optimizer Adamax give more accuracy and precision i.e. 85% and 89% respectively than our previous VGG19 model.
Design of Magnetic Field Harvester with Energy Management Unit to Power Sensors in Smart grid
Authors: Pavana H
Published: May 2024

Wireless sensors are used to implement monitoring of electrical devices in smart grid. Monitoring provides reliable power transfer and avoids cascading power failures. A dumbbell shaped magnetic core is developed and optimized to harvest electromagnetic field near bus bars and transformers in electrical substation. The energy thus harvested is used to power wireless sensors and make them self-sustainable. The experimental results show that the proposed core can harvest 1.25mWof output power with 2000 turns when placed in flux density of 9µTrms.The power density is 1.99µW/cm3.Volatge doubler and energy management unit is designed to supply constant power to wireless sensors.
Detection and analysis of cellular network traffic anomalies and SMS spammers
Authors: Sandhya B S
Published: May 2024

The unfolding usage of mobile users inclusive of both 4G and 5G creates huge accumulation of data in cellular network. The network service providers need to ensure proper management of resource in terms of uninterrupted service with cost-effectiveness. The detection of cellular traffic and Short Message Service (SMS) spammers is very challenging. In this paper a novel method is proposed to analyse and detect the traffic anomalies and SMS spammers. To achieve this, Call Detail Record (CDR) issued by service provider is used. The CDR is pre-processed to convert into machine understandable format using mean-normalization technique. K-means clustering elbow method proves to be the best tool in identifying the traffic clusters in the network that detects both high and low traffic in the network. The novelty of the proposed work is the detection of low traffic clusters which usually is misled as sleeping cell or cell outage. The paper also presents a model designed to predict whether the message is spam SMS or ham SMS. The proposed model is suitable to run different classifiers like Logistic Regression, Multi nominal Naive Bayes, Support Vector Machine (SVM), Random Forest Classifier. The model gives the highest accuracy rate of 98.277% with SVM in detecting SMS spam.
Investigation on A Viscoelastic Creep Damage Constitutive Model for HTPB Propellant and Its Application in Finite Element Analysis
Authors: Yanshen Zhang
Published: May 2024

Solid rocket motor (SRM) is typically kept in storage for a significant portion of its lifespan. During storage, the propellant grain creeps under the action of gravity. To investigate the creep properties of hydroyl-terminated polybutadiene (HTPB) propellant under long-term loading, a creep damage constitutive model is developed based on the generalized Kelvin model and continuum damage mechanics theory. Parameters for this model are determined through creep tests conducted on HTPB propellant under various stress levels. Furthermore, to enable the application of the developed propellant constitutive model in the finite element analysis of SRM, the derived constitutive equation is transformed into an incremental form and integrated into the user subroutine UMAT of the finite element analysis platform ABAQUS. Subsequent to this, a three-dimensional SRM model containing the case, the insulator, and the propellant grain is established. The mechanical response of the grain under thermal and gravitational loads is calculated and analyzed. The results indicate that the stress concentration region in the grain is located at the stress release boot in the forward dome of the motor, where damage occurs. The methods employed in this paper and the conclusions drawn can serve as a reference for evaluating the structural integrity and storage lifespan of the SRM.
Manufacturing Industry Resource Endowment Index and Its Big Data Model
Authors: Wenping Xu
Published: May 2024

This study aims to demonstrate the application of big data models in the evaluation of manufacturing competitiveness across different countries and economic entities. It involves analyzing algorithms and data structures, designing algorithms for evaluating manufacturing competitiveness suitable for different countries and economic entities, and providing algorithmic and theoretical support for building computer assessment models for manufacturing competitiveness in economic entities. The research adopts qualitative and quantitative methods, comparing and analyzing empirical data on manufacturing resource endowment and competitiveness in various countries, combining theoretical analysis and empirical data. By conducting a literature review and empirical research, relevant information and data are collected to establish the relationship between manufacturing resource endowment index and competitiveness. Through case studies and comparative research, this study explores the main factors affecting manufacturing competitiveness in different countries and their interrelationships. It confirms that the competitiveness of manufacturing industries in different countries is influenced by factors such as resource endowment. Further analysis quantifies the relationship between national manufacturing resource endowment and competitiveness, leading to the design of computer algorithms, data structures, and processing logic. The results demonstrate the significant role of resource endowment in manufacturing competitiveness, serving as a crucial basis for formulating comprehensive national strategies. The innovations of this study include: 1. Introducing the manufacturing resource endowment index as a key variable for evaluating competitiveness, enriching the content of competitiveness big data models. 2. Designing comprehensive data structures, algorithms, and processing logic for assessing manufacturing competitiveness from multiple perspectives. 3. In-depth analysis of the relationship and analytical methods between manufacturing strategies, resource endowment, and competitiveness, providing theoretical and model references for the design of computer big data operation platforms.
Research on Smart Community Management in the Era of Internet Plus +
Authors: Mingzhe Wang
Published: May 2024

As more and more attention has been paid to community governance, how to ensure the safety and comfort of residents’ lives and enhance the level of public participation by improving the intelligence of the community has become a hot issue. The traditional smart community operation management theory only considers a few interest subjects but does not pay attention to multi-interest subjects, and most studies do not involve the Internet Plus relationship of multi-interest subjects.Based on this, the main elements of smart community operation are identified from the perspective of “demand-supply-regulation” of community smart operation, the interest subjects of smart community operation are investigated in depth, the relationship matrix is constructed and the social Internet Plus structure diagram is drawn. Besides, UCINET 6.0 software is employed to analyze the density, centrality and influence of Internet Plus, identify the key factors, and put forward multi-dimensional policy suggestions, thus providing theoretical support for the coordinated development of the smart community with multi-party participation..
Biztonság, Biztosítás és Szolgáltatás – az UEFA EURO 2020 Labdarúgó Európa Bajnokság szervezése Magyarországon
Authors: Lippai Zsolt
Published: May 2024

A rendészettel, biztonságunk megteremtésének állami szereplőinek tevékenységével sokan és sokféleképpen foglalkoztak és foglalkoznak. A rendészettudomány kutatói közül viszont csak kevesen irányították figyelmüket a biztonság megteremtésének nem állami szereplőire, a hagyományosnak is nevezhető rendészeti felfogástól eltérő módszerek alkalmazására. Tanulmányommal a magánbiztonság átfogó tudományos kutatásához, feltérképezéséhez kívánok hozzájárulni, felismerve annak tényét, hogy a kutatott téma a rendőri működés folyamatosan időszerű kérdése. Az emberek biztonságértelmezése, a rendőrséggel szemben megfogalmazott elvárásai ma jóval komplexebbek, mint anno a rendszerváltozás idején. A feladatok és elvárások mennyiségi és minőségi átalakulása a biztonság megteremtésének és fenntartásának állami és nem állami szereplői közötti kapcsolat átértékelését is szükségessé teszi. Írásomban az UEFA EURO2020 Labdarúgó Európa Bajnokság magyarországi szervezését, a nemzetközi vonatkozású sportrendezvény hazai lebonyolításában részt vevő állami és nem állami szereplők sok szálon összefüggő, kimondhatóan egymásra utalt, egymást segítő, együttműködő tevékenységét vizsgálom meg. Gyakorlati példa útján mutatva rá a rendezés elmosódó határvonalú magán és közbiztonsági aspektusaira.
RECONSIDERANDO O CERTAMEN HOMERI ET HESIODI
Authors: Silva Rafael Guimarães Tavares da
Published: May 2024

O texto conhecido como Certamen Homeri et Hesiodi apresenta redação tardia (século II EC), embora, desde os trabalhos de Nietzsche e a publicação de papiros com fragmentos seus, possa ser remontado –pelo menos parcialmente– aos trabalhos do sofista Alcidamante (século IV AEC). A leitura dessa obra à luz de discussões do período clássico tem demonstrado a existência de uma tradição biográfica envolvendo uma disputa poética entre Hesíodo e Homero que parece conter elementos arcaicos significativos para a interpretação e até a história da consolidação do corpus de poemas atribuídos a essas figuras. Recorrendo às reflexões de Barbara Graziosi (2002), Hugo Koning (2010), Paola Bassino (2019) e outros que têm se debruçado sobre a tradição do certame entre Homero e Hesíodo, pretendo avançar uma interpretação desse texto e sugerir os aportes que essa leitura pode oferecer a uma reflexão sobre a história dos poemas homéricos e hesiódicos na Antiguidade.
Julia L. Shear, Serving Athena: the festival of the Panathenaia and the construction of Athenian identities, Cambridge – New York, Cambridge University Press, 2021, pp. xxii + 532.
Authors: Wyburgh Sonny
Published: May 2024

L’oggetto di indagine della più recente monografia di Julia L. Shear nasce, come lei stessa informa i suoi lettori nella prefazione (p. xvii), da uno dei primi interessi di ricerca dell’Autrice. Già verso la fine degli anni Novanta, la studiosa si era dedicata alla comprensione storica del fenomeno delle Panatenee, seguendola discussione sviluppatasi nell’ambiente accademico statunitense intorno all’interpretazione di J.B. Connelly del fregio del Partenone. Oggi, la ricca esperienza da lei maturata nei diversi campi che contribuiscono alla comprensione della storia della Grecia antica ha consentito all’Autrice di presentare i risultati di un lavoro il cui scopo non è semplicemente quello di scrivere una storia delle Panatene.
UNO PARA TODOS Y TODOS PARA UNO: UN ANÁLISIS DEL MONOPSIQUISMO DE SIGER DE BRABANTE
Authors: Leiva Matias
Published: May 2024

La filosofía de Siger de Brabante representa una alternativa interesante al pensamiento escolástico tradicional de Tomás de Aquino y Alberto Magno. Una de sus tesis principales es la existencia de un solo intelecto compartido por todos los seres del nivel intelectivo de vida; doctrina conocida como monopsiquismo. En este artículo revisaremos los fundamentos ofrecidos por Siger y los someteremos a análisis para verificar si se sostienen a la luz de la psicología desde la cual dicen desprenderse, i.e., la psicología aristotélica expuesta en el De Anima. La conclusión general es que la propuesta sigeriana transgrede ciertos pilares fundamentales de esa psicología y que el monopsiquismo no se deriva necesariamente a partir de ella.
Francesco Citti, Alessandro Iannucci, Antonio Ziosi (edd.), Agamennone classico e contemporaneo, Venezia, Edizioni Ca’ Foscari, 2022, i-viii + 304 pp
Authors: Wyburgh Sonny
Published: May 2024

In una temperie culturale che pare (talvolta eccessivamente) dominata dalla preoccupazione di una sedicente cancellatura dell’antico, Agamennone classico e contemporaneo mostra, in modo lucido e lontano da facili retoriche, come si possa instaurare un dialogo interdisciplinare sulla presenza, attraverso il teatro, «dei classici nella contemporaneità»(p. 3). Il volume costituisce l’esito finale di una serie di seminari tenutasi online nella primavera del 2021 sul «doppio “Agamennone”di Eschilo e di Seneca» (p. 3). F. Citti, A. Iannucci e A. Ziosi portano così alla sua terza tappa un progetto avviato nel 2010 dal Dipartimento di Beni Culturali e dal Centro di Studi «La permanenza del Classico» dell’Università di Bologna, il cui scopo è quello di confrontare un dramma ateniese con la sua riscrittura latina, e osservare la storia culturale percorsa da questi «ipotesti»(p. 4) in epoca moderna e contemporanea.
Valentina Arena y Jonathan Prag (eds), A Companion To The Political Culture of the Roman Republic, Wiley- Blackwell, Chichester, 2022, 595 pp.
Authors: Rovegno Proust Benjamín
Published: May 2024

El presente libro se aproxima a estudiar el mundo político de la Roma republicana desde el lente de la Political Culture. Esto, según sus editores, quiere decir que, además del estudio sobre el funcionamiento oficial de la política a través de las instituciones políticas y religiosas, la cultura política comprende aquel sistema de valores compartidos y de estrategias desplegadas en función de un consenso que permitió legitimar el funcionamiento de la república romana en distintos niveles.
Emanuele Stolfi, La giustizia in scena. Diritto e potere in Eschilo e Sofocle, il Mulino, Collana Saggi, Bologna 2022, 360 pp.
Authors: Flamingo Luca
Published: May 2024

La giustizia in scena rappresenta un contributo innovativo nel vasto panorama degli studi sul diritto greco antico, ponendosi come modello per l’interlocuzione scientifica tra gli storici dei diritti antichi e gli studiosi della tragedia. L’Autore, pur riconoscendo l’attenzionedi giuristi e filosofi del diritto ai quesiti posti dai testi tragici alla moderna sensibilitàgiuridica e la recente fortuna della corrente di studi «Law in Literature», rileva un limitato interesse da parte degli storici dell’esperienza giuridica. Questo libro indica le possibili direzioni del contributo degli studiosi di diritto greco all’esame del teatro di Eschilo e Sofocle, proponendo un’integrazione del metodo storico-giuridico entro ampie linee di indagine (filologico-letterarie, linguistiche, antropologiche) per illustrare questioni nevralgiche rappresentate dai tragediografi.
Morning Versus Evening Short-Term Whey Protein Supplementation in Collegiate Athletes
Authors: B. Fields Jennifer , L. Lockard Brittanie , K. Magee Meghan , T. Jones Margaret
Published: May 2024

Introduction: Benefits of protein consumption are established, yet athletes often consume insufficient protein. The effect of protein supplementation timing on self- reported wellness measures (SRWM) is unknown. The purpose was to examine the effect of protein supplementation timing on overall protein intake and SRWM. Methods: Collegiate athletes (men: n=13; body mass: 76.1 ± 6.6 kg; body fat %: 14.8 ± 2.3%) (women: n=16; body mass: 72.5 ± 10.8 kg; body fat %: 24.9 ± 4.6%), defined as protein-insufficient (daily intake <1.5 g/kg body weight) participated. Protein supplementation occurred over two 2-week periods (morning, evening) separated by a 2-week washout. Daily SRWM (fatigue, soreness, sleep, stress, mood, energy, recovery, satiety) were collected. ANOVA assessed differences in total protein intake and SRWM measures across conditions. Spearman correlations assessed relationships between protein intake and SRWM.Results: No sex difference existed in protein intake based on supplementation timing. Compared to baseline, morning and evening supplementation led to an increase (p<0.05) in absolute and relative protein intake for men and women. Satiety was increased during morning and evening conditions compared to washout for men (p=0.004) and women (p=0.012), but other SRWM did not differ. Correlations existed for relative protein intake and satiety (r=0.499, p<0.001) and stress (r=-0.321, p=0.019).Conclusions: Protein supplementation enabled participants to achieve the recommended protein intake and provided a greater feeling of satiety. Satiety did not differ between morning and evening, providing flexibility as to when to ingest a daily supplement.
Risk of Disordered Eating, Exercise Dependence, Body Dissatisfaction, and Fueling Habits in Masters Trail Runners
Authors: Alyssum Reno-Smith  , Kelly Pritchett  , Keely Henninger
Published: May 2024

Introduction: Masters-level trail runners comprise a large percentage of trail and ultramarathon racers. Endurance training may increase the risk of developing disordered eating (DE) patterns and exercise dependence (EXD). This study investigated the risk of DE and EXD in masters-level runners, and compared the risk of EXD, body dissatisfaction, injuries, and fueling habits in runners at risk vs. not at risk for DE.Methods:  In this cross-sectional study design, male (n = 457) and female (n = 564) masters trail runners (41-65 years of age) completed a Qualtrics survey comprising the Disordered Eating Screen for Athletes (DESA-6), Exercise Dependence Scale (EDS-21), and questions pertaining to fueling strategies, dietary preferences, and body image satisfaction.Results: 46% of females and 32% of males were at risk for DE based on the DESA-6. 80% of female and 79% of male runners were classified as symptomatic for EXD. For the entire population, there was a significant association between DE risk (88.2%) and symptomatic EXD (χ21 = 32.5, p < 0.001). The majority of participants (71.4%) reported being dissatisfied with their weight.Conclusion: This study demonstrated a high prevalence of DE, EXD, and body dissatisfaction in masters trail runners.