bluuebunny/crossref_metadata_2025 huggingface dataset:
CyberGuard: A Fortified Message Authentication Protocol with Digital Signatures in NS-2 Simulation Environment
Authors: Kumar Prashant , Sethi Dimple , Shrivastava Gulshan , Srivastava Neeraj
Published: January 2025

Delving into the dynamic realm of communication networks, the Network Simulator-2 (NS-2) emerges as a versatile, object-oriented, and event-driven mirror, analysing the intricacies of computer network. NS-2, an open-source, is a strong tool for protocol innovation that supports numerous routing protocols designed for both wired and wireless networks in addition to the TCP/IP protocol suite. However, the security frontier has remained a latent challenge amidst its diverse protocol array. This research defiantly explores the security void in NS-2 and presents a novel solution by adding a state-of-the-art security module. Elevating NS-2's prowess, this module seamlessly integrates message integrity and sender authentication features, injecting a much-needed security boost. We meticulously detail the inner workings of the security modules, the innovative processes deployed, and the simulation and implementation intricacies within NS-2. The limelight is on the propagation of sender authentication protocols and the embodiment of message integrity in wired communication networks. Network Animator steps onto the stage to make the simulation journey more vivid, providing an engaging visual narrative. At its core, this module strives to democratize the integration of Digital Signature features, carving a path toward a more secure NS-2 landscape. This paper augments NS-2's resilience and charts new territories in the dynamic intersection of communication networks and cutting-edge security protocols.
A Novel Effective Forecasting Model Developed Using Ensemble Machine Learning For Early Prognosis of Asthma Attack and Risk Grade Analysis
Authors: Yadav Sudha , Sehrawat Harkesh , Jaglan Vivek , Singh Sima , Kantha Praveen , Goyal Parul , Dalal Surjeet
Published: January 2025

Research curiosity enlarging the concern of clinician and researchers towards combination of medical science together with artificial intelligence to develop cost effective predictive model for asthma exacerbation. To accumulate the classification consequences, extensively known ensemble machine learning methods pivotal to artificial intelligence techniques are investigated and novel predictive model developed using catboost classifier that produced comparatively improved outcomes to predict the occurrence of asthma and asthma risk grade. Proposed model result is compared with other classifiers which are Support vector machine (SVM), K-Nearest neighbors (KNN), Logistic regression, Adaboost classifier, Gradient boosting classifier, Random forest, Decision tree. Model regulated classification accuracy as high as 93% with datasets selected for formation of early prognosis model of asthma disease by embracing only 20% of the features in the reduced feature set.
Fine-grained Trusted Control Methods for IoT Boundary Access
Authors: Wang Jie , Liu Chang , Zhu Guowei , Liu Xiaojun , Xiao Bibo
Published: January 2025

In order to solve the problems of coarse-grained access policies, weak auditability, lack of access process control, and excessive privileges exhibited by existing IoT access control technologies, the author proposes a fine-grained trusted control method for IoT boundary access. The author elaborated on the CcBAC model framework and formalized its definition; At the same time, specific descriptions of the functions in the model were provided, and the access control process of this model in general application scenarios was presented; After rigorous testing, it was found that as the number of requests increased, there was a slight uptick in the average time it took for the function to process them, but beyond a certain point, this time plateaued and even began to decrease gradually. Meanwhile, the system's throughput increased steadily with more requests until it reached a stable level, showing no significant drop even with additional clients. The proposed CcBAC access control model showcased remarkable performance in handling large-scale requests while ensuring fine-grained, autonomous authorization, security, and auditability. It effectively achieved consensus in distributed systems and maintained data consistency. In conclusion, this model empowers resource owners with full control over their resources' access, while also accounting for the detailed and traceable nature of access control.
A Neural Collaborative Filtering Recommendation Algorithm Based on Attention Mechanism and Contrastive Learning
Authors: Liu Jianqiao
Published: January 2025

The neural collaborative filtering recommendation algorithm is widely used in recommendation systems, which further applies deep learning to recommendation systems. It is a universal framework in the neural collaborative filtering recommendation algorithm, however, it does not consider the impact of different features on recommendation results, nor does it consider the issues of data sparsity and long tail distribution of items. To solve the above problems, this paper proposes a recommendation algorithm based on attention mechanism and contrastive learning, which focuses on more important features through attention mechanism and increases the number of samples to achieve data augmentation through contrastive learning, therefore it improves model performance. The experimental results on two benchmark datasets show that the algorithm proposed in this paper has further improved recommendation performance compared to other benchmark algorithms.
Integration of Athlete Training Monitoring Information based on Deep Learning
Authors: Li Xi , Gao Menglong , Hua Jiao
Published: January 2025

In order to solve the problem of mining and analyzing athlete training monitoring information, the author proposes a deep learning based integration of athlete training monitoring information. The author proposes a deep learning based method for integrating athlete training monitoring information, deploying agents on various data source nodes, collecting athlete training information from each data source, and implementing denoising and dimensionality reduction on the monitoring information; Building an information integration model based on convolutional neural networks in deep learning; Extracting monitoring information features through convolutional layers, and fusing information with similar features into the same category through output layer classifiers, completing the integration of athlete training volume monitoring information. The experimental results show that as the number of iterations increases, the classification accuracy of the integrated model based on convolutional neural networks is continuously improving, while the error is continuously decreasing and getting closer to zero. When the maximum iteration number is 100, the model accuracy is 99.74%. The average Gini coefficient of the author's research method is higher, indicating a higher integration accuracy of the method.
Research on Autonomous Navigation and Control Algorithm of Intelligent Robot based on Reinforcement Learning
Authors: Yi Yunlong , Guan Ying
Published: January 2025

The last few decades have seen impressive developments in the field of robotics, especially in the areas of autonomous navigation and control. Robust algorithms that can facilitate effective decision-making in real-time settings are needed as the need for intelligent robots that can function in complex and dynamic contexts grows. Through trial-and-error interactions with their surroundings, reinforcement learning (RL) has become a promising method for teaching intelligent agents to navigate and control robots independently. The purpose of this study is to look at the creation and use of reinforcement learning algorithms for intelligent robot control and autonomous navigation. With an emphasis on methods like deep Q-learning, policy gradients, and actor-critic approaches, the research delves into the theoretical underpinnings of reinforcement learning and how it has been applied to the field of robotics. This study assesses how well RL algorithms work to help robots acquire the best navigational strategies in challenging surroundings through an extensive literature review and empirical investigation. In addition, the study suggests new improvements and optimizations for current reinforcement learning algorithms to tackle problems unique to robot navigation, such as avoiding obstacles, routing, and interactions with dynamic environments. These improvements increase the effectiveness, flexibility, and security of independent robot navigation systems by utilizing knowledge from cognitive science and neuroscience. The suggested methods are experimentally evaluated through both real-world applications on physical robotic platforms and simulation-based research. Performance measures including navigation speed, success rate, and collision avoidance ability are used to evaluate how well the suggested algorithms operate in different scenarios and circumstances.
Research on Personalized Learning Recommendation System based on Machine Learning Algorithm
Authors: Li Siqi , Li Deming
Published: January 2025

The educational system has started to implement more individualized material from conventional functions in recent years due to the ongoing advancements and developments in science and technology, particularly the continuing growth of artificial intelligence, machine algorithms, and other technologies. The standardized approach to teaching used by conventional educational institutions frequently ignores the individual requirements and learning preferences of every student. To improve learning outcomes, a system of education that is personalized and enhanced by algorithms using machine learning can offer individualized learning materials and suggestions that reflect every student’s educational background, interests, and skills. Additionally, machine learning methods may offer immediate feedback on student achievement and modify instructional strategies in response to that feedback. Making sure AI is employed to promote higher education’s overarching objectives, like encouraging creativity and critical thinking, as opposed to merely eliminating chores and boosting effectiveness, is another difficulty. This paper examines over the several ways that artificial intelligence (AI) and the Optimized Collaborative Filtering Algorithm are being used in higher education. It also proposes an approach for increasing students’ cognitive abilities and compares it with different methods that are currently in use. It has been demonstrated that, in comparison to other models, the suggested model performs better by achieving 95% recall and 99% testing accuracy.
Using Genetic Algorithm to Optimize the Training Plan and Game Strategy of Basketball Players
Authors: Dawei Qiu
Published: January 2025

Basketball teams rely heavily on the effectiveness of their practice regimens and game plans to succeed. The intricacy of the game and the range of skills players must possess make it extremely difficult to develop effective training plans and tactical techniques. The use of genetic algorithms (GAs) as a cutting-edge technique to enhance basketball players’ practice regimens and game strategies is investigated in this work. Inspired by biology and natural selection, genetic algorithms provide a potent optimization method that, via the repeated steps of evolution, can find close to ideal solutions to challenging issues. As chromosomes made up of genes relating to different parameters and tactics, prospective training plans and game tactics are represented by GAs, which enable them to efficiently search across the large solution space and find combinations that optimize desired results. As part of the research approach, the goals and limitations of the optimization issue are defined. Fitness functions are intended to assess each potential solution’s efficacy, directing development toward better solutions across a series of iterations. This study shows how effective genetic algorithms are in optimizing basketball players’ training regimens and game strategy through simulators and real-world tests. In order to continually enhance player growth and team competitiveness, coaches can use GAs to refine and modify tactics based on feedback as well as performance data in an iterative manner. The results of this study have significance for team sports other than basketball, where results are heavily influenced by the interaction of players’ individual abilities, teamwork, and decisions about strategy. In the end, incorporating algorithms based on genetics into sports analytics presents a viable way to improve coaching techniques and reach the highest levels of efficiency in sporting settings.
The Evaluation Model of Physical Education Teaching Performance based on Deep Learning Algorithm
Authors: Chen Wang , Min Liu
Published: January 2025

The various manifestations of physical education instructional elements and assessment ambiguity affect both the qualitative and quantitative evaluation outcomes of instructional effects. An evaluation approach of physical education teaching and training excellence based on deep learning is developed to address the issues of high complexity and low accuracy in the assessment of physical education teaching outcomes. The construction of the system of evaluation indexes is predicated on the instructional material, teaching behaviour, instructional resources, teaching technique, and learning impacts that impact the quality of instruction. The model for the assessment of the physical education learning effect was created using the Genetic Algorithm-Back Propagation Neural Network (GA-BPNN) to increase the assessment accuracy of the teaching effect. The monitoring of the entire teaching process is the foundation of the assessment approach. The general objectives and a chosen set of three-level indicators for evaluation were examined considering the different types of physical education teaching variables and the assessment’s degree of uncertainties. The hierarchical structure was created using the (GA-BPNN) method, which also produced the hierarchy’s overall rating and comprehensive score. According to the test results, the teaching assessment model developed in this work has an Accuracy, which is higher than the industry average and supports improving the quality of instruction.
Sexual dimorphism in basal and post stress parameters of neuro-endocrine-immune complex, metabolome, electrocardiogram, and gastric mucosa at rats
Authors: Fihura Oksana , Korda Mykhaylo , Klishch Ivan , Ruzhylo Sofiya , Melnyk Oksana , Zukow Walery , Yanchij Roman , Vorobienko Alyona , Plyska Oleksandr , Popovych Dariya , Popovych Igor
Published: January 2025

Introduction and aim. Previously, we found significant associations between sex index and a number of parameters of the neuro-endocrine-immune complex and metabolome. Therefore, the next goal was a detailed analysis of sexual dimorphism in these parameters in baseline and post stress situations.
Material and methods. The experiment conducted on the same 18 males and 20 females rats Wistar line. 10 animals remained intact and other rats after a week of tap water (n=10) or phytoadaptogen “Balm Truskavets’” (n=18) administration were exposed to water-immersion and restraint stress (WIRS). The next day after stressing, endocrine, immune and metabolic parameters as well as ECG and damage to gastric mucosa was recorded.
Results. By the method of discriminant analysis was selected 23 variables (4 endocrine, 6 immune, 9 metabolic as well as 4 markers of damage to gastric mucosa and myocardium) whose constellation is characteristic for each group. The distance between the centroids of the major discriminant root of intact females and males as a measure of sexual dimorphism is 16.2 units. Acute stress increases it in control rats to 23.4 units, and in pretreated with phytoadaptogen - up to 29.4 units. Acute stress increases the severity of sexual dimorphism also in relation to variables, information about which is condensed in the minor root - from 0.99 to 2.29 units, while preventive use of phytoadaptogen limits it to 1.63 units. 
Conclusion. In intact rats, significant sex differences were found for a number of endocrine, immune, and metabolic variables, which increase under the influence of acute stress per se, and to an even greater extent against the background of preventive use of a phytoadaptogen.
Health-related quality of life, mental and sleep disordes of patients with pulmonary arterial hypertension participating in the Polish PH treatment program
Authors: Sarzyńska Kathie , Jankowska-Polańska Beata
Published: January 2025

Pulmonary arterial hypertension (PAH) is a rare, chronic disease, that leads to the development of a range of heart failure-related symptoms that directly affect an individual's functioning. The aim of the study was to assess health-related quality of life (HRQoL) of the PAH patients. Participants completed several specific survey questionnaires. The mean scores obtained in each domain of the PAH-SYMPACT HRQoL questionnaire were: cardiopulmonary symptoms 1.02±0.57, cardiovascular symptoms 0.54±0.5, physical effects 1.24±0.9, mental effects 0.99±SD=0.82. The average scores on the anxiety and depression scales were 5.33±3.31, 4.4±3.78, respectively, which indicates their low severity. The mean score obtained on the Pittsburgh Sleep Quality Scale (PSQI) was 8.7±4.64 and represented the to poor sleep quality affecting the study group. Sleep disorders were present in the majority of the subjects and had the most significant impact on reducing the HRQoL in the study group. Anxiety and depressive disorders were present in a small percentage of the subjects. The results showed that the best predictor of HRQoL evaluation is sleep quality assessment.
The Wilson's disease - etiology, symptoms in various organs, diagnosis, treatment, prognosis
Authors: Graczyk Patryk , Kwaśniewska Paulina Klaudia , Wilewska Anna , Borowiec Kinga , Borowiec Agnieszka , Biernikiewicz Julia , Alabrudziński Konstanty , Biernikiewicz Milena , Pomirski Bartosz , Pomirska Agata
Published: January 2025

Introduction:
Wilson disease (WD) is a genetic disorder of copper metabolism caused by ATP7B gene mutations, impairing copper excretion and leading to copper accumulation in organs. It affects children and adults, causing liver damage, cirrhosis, neuropsychiatric symptoms, and, if untreated, death. Symptoms, such as Kayser-Fleischer rings, neurological issues, and low serum ceruloplasmin levels, vary widely, complicating early diagnosis. Although rare, WD is one of the few preventable movement disorders, with treatments available to slow disease progression.
Purpose:
This review aims to enhance understanding and management of WD by summarizing current guidelines and offering practical recommendations for clinical practice.
Material and methods:
In our article, we have comprehensively discussed WD. Reviewing the latest literature, we have summarized the symptoms, etiology, diagnosis, treatment and prognosis of this disease.
Discussion:
Wilson disease remains a significant clinical challenge due to its heterogeneous presentation and difficulty in early diagnosis. Despite effective treatments, that can prevent disease progression, many patients experience delayed diagnosis, leading to irreversible organ damage. Advances in genetic testing and biomarkers have improved diagnostic accuracy, enabling earlier detection and better management outcomes. However, nonadherence to lifelong therapy remains a major hurdle, emphasizing the need for ongoing patient education. Emerging therapies and personalized medicine offer promise for improving outcomes and minimizing long-term complications, highlighting the need for continued research and treatment refinement.
Where does the panic attack come from... – characteristics and forms of therapy for anxiety disorders
Authors: Grzech Patrycja , Zubrzycka Weronika , Gmyz Joanna
Published: January 2025

Introduction and purpose: Anxiety is a term with primarily psychological meaning, describing a broadly defined, indefinite emotional state characterized by the experience of uncertainty, apprehension, fear and annoyance. Anxiety is a feature of many common diseases as well as mental disorders. It is a non-specific and common symptom in medicine occurring as a trait in personality structure, psychotic anxiety or a condition in psychosomatics. Due to the variety of clinical symptoms accompanying anxiety disorders, they should not be considered as a whole, as this group is not homogeneous and each individual differs in significant ways from the others. The following work aims to present the types of anxiety that occur, analyze their characteristics, and apply knowledge from psychology, neuroscience and psychiatry in understanding and treating these disorders.             Description of the state knowledge: A review of the reviewed literature indicates the significant benefits of combining appropriately selected pharmacotherapy and concurrent psychotherapy in patients struggling with anxiety disorders.             Summary: Anxiety disorders are the most common group of mental disorders that usually begin just before or in early adulthood. Although anxiety disorders are defined as the presence of extreme fear and anxiety, they encompass a range of different disease entities. The new ICD-11 International Classification of Diseases in the field of psychiatry has proposed moving away from defining a group of these disorders as “neurotic disorders” and replacing it with the less stigmatizing term “anxiety disorders” containing seven specific subgroups of disorders. The key role is to make a correct diagnosis of the disorders in question and to include effective treatment due to the wide range of anxiety as apsychopathological symptom.
Diagnosing and Managing LADA: A Review of the Overlooked Diabetes Subtype
Authors: Wojszczyk Maciej , Kulbacka Julia , Dziedzic Karol , Arczewski Filip , Wójcikiewicz Michalina , Chuncia-Ileczko Marta , Kacperczyk Julia , Czyż Witold , Pasek Piotr , Ryniecka Julia
Published: January 2025

LADA (latent autoimmune diabetes in adults) is a dual form of diabetes, combining the autoimmune features typical of type 1 diabetes and the clinical and metabolic aspects of type 2 diabetes. Due to the slow development of symptoms and often late age of onset, LADA is frequently misdiagnosed as type 2 diabetes, which can lead to a delay in appropriate treatment. It is estimated that LADA affects between 4% and 12% of adults initially diagnosed with type 2 diabetes, making it a more common disease entity than previously thought. This paper examines current data on the epidemiology, pathogenesis, genetic factors and diagnostic criteria of LADA. Particular attention was given to the immunological and genetic aspects of the disease, which allow a more accurate differentiation of LADA from type 2 diabetes. The review also discusses the significance of early insulin therapy aimed at beta-cell preservation and the role of alternative treatments, such as DPP-4 inhibitors, which may influence disease progression. Diagnostic and therapeutic challenges stemming from the phenotypic similarities between LADA and type 2 diabetes are highlighted, along with potential benefits of early detection.
Reviewing the current diagnostic and treatment approaches for myocarditis – analysis of literature
Authors: Zys Damian , Wojszczyk Maciej , Ryniecka Julia , Czyż Witold , Kacperczyk Julia , Chuncia-Ileczko Marta , Wójcikiewicz Michalina , Arczewski Filip , Dziedzic Karol , Kulbacka Julia
Published: January 2025

Introduction:
Myocarditis is an inflammatory disease of the heart muscle, presenting with symptoms ranging from mild discomfort to severe cardiac dysfunction. It poses diagnostic challenges due to overlap with conditions such as coronary artery disease and its nonspecific presentation. This review summarizes current diagnostic and therapeutic approaches, emphasizing advancements in imaging and personalized treatment strategies.
Aim of the study:
The aim of this study was to summarize the existing knowledge of currently relevant diagnostic and therapeutic approaches to myocarditis, highlighting both established methods and emerging advances.
Materials and Methods:
The literature available in the PubMed database was reviewed using the following keywords: "myocarditis," "myocarditis diagnosis," "myocarditis treatment," "diagnosis of myocarditis," "COVID-19 myocarditis," "viral myocarditis," and "autoimmune myocarditis."
Conclusions:
Myocarditis is a complex and multifactorial condition that requires improved diagnostic tools and individualized treatment strategies. As with other diseases, personalized approaches considering patient-specific factors are essential for better clinical outcomes. To achieve this, further research into innovative diagnostic methods and targeted therapies is necessary. Additionally, raising awareness of myocarditis is crucial for early diagnosis, timely treatment, and patient support.
The Role of Coenzyme Q10 in Modern Medicine: Insights into Energy Metabolism and Antioxidant Therapy
Authors: Górski Mateusz , Załęska Adrianna , Bychowski Mateusz , Kwaśna Julia , Kaźmierczyk Izabela , Lenart Kacper , Homza Michał , Zakrzewska Natalia , Bednarek Szymon , Kulicka Joanna
Published: January 2025

Background: Coenzyme Q10 (CoQ10), a key component of mitochondrial energy production and a potent antioxidant, plays an essential role in addressing oxidative stress and mitochondrial dysfunction. Its applications span cardiovascular health, infectious diseases, neurological conditions, reproductive health, and fatigue management. However, gaps remain in understanding its optimal dosing, long-term impact, and efficacy across diverse health conditions. 
  
Methods: This review synthesized findings from clinical trials, meta-analyses, and observational studies. A systematic search of PubMed and ScienceDirect was conducted, selecting studies based on methodological rigor and relevance to CoQ10’s mechanisms, efficacy, and safety. 
  
Results: CoQ10 supplementation reduced cardiovascular mortality, alleviated migraine symptoms, improved mitochondrial function, and decreased oxidative stress. Promising but inconclusive evidence supports its role in managing statin-induced myopathy and enhancing reproductive outcomes. CoQ10 was consistently shown to be safe and well-tolerated. 
  
Conclusion: CoQ10 demonstrates significant therapeutic potential across several health conditions. Its antioxidant and bioenergetic benefits are well-documented, but further research is needed to refine dosing strategies and evaluate long-term effects. CoQ10 remains a promising complementary therapy for modern health challenges.
Career Adaptability and Career Construction as Mediating Variables Between Hardiness and Vocational Identity
Authors: Merino-Tejedor Enrique , Serrano-Fernández María José , Boada-Cuerva Maria , Sora Beatriz
Published: January 2025

Background: The Career Construction Theory (CCT) focuses on the active role people can play when they create and design their singular paths for career success. Unlike other career guidance theories that focus their attention on identifying vocational interests or on the fit between the person and the work settings, CCT raises the possibility that people can go beyond the determinants of their life. This study tested the adaptation model proposed by Career Construction Theory. Consolidation of vocational identity is particularly important at the university stage, in which people decide their first steps about their professional future. 
Method: Participants were 1023 students from Spain and Brazil. The Spanish subsample was composed of 602 participants, 34% were men (N = 207), and 66% were women (N = 395). The average age was 21.69. The Brazilian subsample was composed by 421 participants, 39% were men (N = 165), and 61% were women (N = 256), with an average age of 24.84. The four dimensions in the model were each operationally defined by a single indicator. The Hardiness Scale represented adaptive readiness. The Career Adapt-Abilities Scale represented adaptability resources. The Student Career Construction Inventory represented adapting responses. And finally, The Vocational Identity Status Assessment represented the adaptation result. 
Results: Bivariate correlations obtained between the measures were as expected by the theoretical model. All variables were significantly related to each other, and the values of the correlations were positive and quite high in both the Spanish and Brazilian subsamples. Structural Equation Modeling analysis of data indicated that the relationship between hardiness and vocational identity was mediated by both career adaptability and career construction. The overall fit indices for confirmatory factor analysis (CFAs) and structural equation models (SEMs) showed that the multiple factor structure models did not fit the data as well as the second-order structure model for hardiness, career adaptability and career construction. The multiple factor solutions only provided a better adjustment compared to the second-order solution for vocational identity. 
Conclusions: The analysis supported empirically the four-dimension model proposed by the Career Construction Theory. This major finding suggests new pathways to improve individual decision-making about work and career.
Rilke by the Lough: Screen-Free Pedagogy and Outdoor Instruction in a Time of Planetary Polycrisis
Authors: Dhúill Caitríona Ní
Published: January 2025

Abstract: This article explores the screen-free teaching of literature in the digital era. Through the case study of an advanced undergraduate German literature module, the features of an intentionally screen-free seminar are outlined and its divergence from the digitally supported seminar is examined. Drawing on the technocritical thought of Günther Anders and Ivan Illich, I compare the qualities of screen-free teaching and those of outdoor pedagogy. An example from teaching practice which combines elements of both is discussed in detail. The threads of the discussion are drawn together in a reading of Rainer Maria Rilke’s poem ‘Der Schwan’ (‘The Swan’).
The Revolutionary Mr Scofield in the Global Theatres of the Cold War
Authors: Smyth J. E.
Published: January 2025

Abstract: Between 1955 and 1968, actor Paul Scofield ( A Man for All Seasons ) was better known in the USSR, where he starred in Hamlet , King Lear , and Macbeth , than in Hollywood. The actor’s work, embedded within questions of absolutism and the sclerosis of power, played out over national anxieties about British identity during the US–Soviet Cold War and Hollywood’s dreaded global dominance. This article explores his unique public resistance to a range of post-war systems of cultural control, from Hollywood’s star brands and media imperialism to the games of diminishing prestige played by the British Establishment and film and theatre director-auteurs.
Queer Orientation in Thomas Mann’s Tonio Kröger
Authors: Schonfield Ernest
Published: January 2025

Abstract: This article reads Thomas Mann’s Tonio Kröger through the lens of Sara Ahmed’s Queer Phenomenology (2006), which outlines how social relations are arranged, imagined, and experienced in spatial terms, and how queerness disrupts these relations. It traces Tonio Kröger ’s sexual and spatial concerns, arguing that Tonio is a queer figure because he inhabits a world of desire at an oblique angle to the conventional world. This gives him a queer perspective on society which disorients social relations around him. Even when Tonio finally declares ‘where he stands’ in a letter to Lisaweta, he opens up a lifeworld of queer desire.
Dirac-Schwinger Quantization for Emergent Magnetic Monopoles?
Authors: Farhan Alan , Saccone Michael , Ward Bennie
Published: January 2025

In Refs. [1-4] Dirac and Schwinger showed the existence of a magnetic monopole required a charge quantization condition which we write following Dirac as $\frac{eg}{4\pi\hbar}=\frac{n}{2},\; n=0,\pm 1,\; \pm 2, \ldots$. Here, $g$ is the magnetic monopole charge and $e$ is the electric charge of the positron. Recently, in Refs. [5,6], it has been shown experimentally that frustrated spin-ice systems exhibit 'emergent' magnetic monopoles. We show that, within the experimental errors, the respective magnetic charges obey the Dirac-Schwinger quantization condition. Possible implications are discussed.
APPLICATION OF L-SHAPED MAST CLIMBING WORK PLATFORM(MCWP) IN FAÇADE RENOVATION OF HIGH-RISE BUILDINGS: A CASE STUDY
Authors: Ni Yin , Zhang Yuchao , Li Pengbo
Published: January 2025

A typical mast climbing work platform (MCWP) is introduced in this paper as a new type of construction machinery for façade renovation of high-rise buildings. The application of the MCWP is presented based on a real facade renovation project where a combined arrangement of linear and L-shaped MCWP is adopted. The FEM model of an L-shaped MCWP is also established in this paper and the results are obtained. It is indicated from the results that the serviceability of L-shaped meets the requirements of the standard. Based on the duration and cost of a control group, the MCWP method can greatly improve construction efficiency and reduce cost compared with a suspended basket method.
POLYURETHANE CEMENT REINFORCEMENT FOR SEISMIC TESTING OF CURVED BEAM BRIDGES PIERS
Authors: Wang Longyi , Sun Quansheng , Zhang Haoyang , Huang Yong
Published: January 2025

Due to the "bending and torsion coupling" effect of curved bridges, the shear fracture and bending collapse of curved girder bridge piers and columns under the action of earthquakes are more likely to occur, resulting in the serious consequences of the overall collapse or overturning of the bridge structure. Polyurethane cement is a kind of reinforcement material used for structural seismic reinforcement in this case, which has excellent reinforcement performance. In this paper, based on the three-way shaking table test of curved girder bridge, OpenSees finite element software is used to establish the fiber unit model of the abutment specimen, and the model is used to carry out the parameter sensitivity analysis to investigate the influence of the height of abutment and polyurethane reinforcement on the seismic performance of polyurethane cement-reinforced abutment specimen, and it is known that, the higher the abutment is, the worse is the reinforcing effect of polyurethane cement; the higher is the thickness of polyurethane cement, the better is the reinforcing performance of polyurethane cement. The higher the abutment is, the worse the reinforcing effect of polyurethane cement is; the higher the thickness of polyurethane cement reinforcement is, the more obvious the effect of polyurethane cement reinforcement is. Based on the data of parameter sensitivity analysis, the parameters are optimized, and the most economical parameters are derived, thus providing sufficient theoretical basis for polyurethane cement reinforcement of curved beam bridge piers.
DYNAMIC PERFORMANCE ANALYSIS OF CABLE DAMAGE IN PRESTRESSED Π-SHAPED BEAM CABLE-STAYED BRIDGE
Authors: Zheng Xilong , Zhang Honglei
Published: January 2025

This paper takes a prestressed π-shaped beam cable-stayed bridge in China as an engineering case, and conducts relevant research on the overall and local parameter sensitivity of the structure and the stress characteristics under cable damage. The main factors causing cable damage in the prestressed π-shaped beam cable-stayed bridge are analyzed, and the selection of elastic modulus as a damage variable is determined. Based on the finite element model analysis of the actual bridge, different inclined cables are selected for damage simulation, and the dynamic variation characteristics of the main beam, cables, and other structures under one-sided, symmetrical, and asymmetrical cable damage are analyzed. This provides a reference for the dynamic performance analysis of prestressed π-shaped beam cable-stayed bridges under similar cable damage conditions in the future.
FRACTURE ENERGY OF UNSTABILIZED RAMMED EARTH: INFLUENCE OF CLAY TYPE AND CONTENT IN THE MIXTURE
Authors: Mužíková Barbora , Padevět Pavel , Plaček Otcovská Tereza
Published: January 2025

This study explores the fracture energy of unstabilized rammed earth, focusing on the influence of different types and amounts of clay within the mixtures. Utilizing a three-point bending test, this research evaluates the fracture energy of rammed earth to better understand how variations in clay type and content affect its structural integrity. The findings reveal significant differences in fracture energy values correlated with the clay's molecular structure and the interlayer chemical bonds. Clays such as illitic-kaolinitic, montmorillonite, and illite were tested, each demonstrating unique responses to mechanical stress based on their respective chemical bonds. Mixtures containing illitic-kaolinitic clay exhibited the highest fracture energy values, attributed to the presence of kaolinite due to its robust interlayer bonds. The results contribute insights into the selection and optimization of rammed earth materials for sustainable construction, aligning with the growing emphasis on ecological and durable building resources.
Hygrothermal analysis of internal insulation systems of brick historical walls using numerical simulation
Authors: Kherbhek Rahaf
Published: January 2025

A numerical calculation is used for hygrothermal assessment of different wall assemblies. Interior thermal insulation systems using lime-pozzolana, calcium silicate, vacuum insulation panels and mineral wool which are applied on a common historical brick wall structure are analyzed. A comparison between vapor-open and vapor-tight systems is conducted. Moisture and temperature fields in the insulated wall and in the wooden beam-heads that are embedded in the insulated walls are carried out using WUFI and 3D Cube. The best alternative found is vapor-open system on the basis of lime-pozzolana.
Analysis on the effect of buried depth-initial water content of the tunnel in expansive rock
Authors: Li Xinyu , Chen Wei , Cao Pan , Zhang Huijian
Published: January 2025

There are countless engineering disasters induced by expansive strata in the tunnel project. Nowadays, most of the research focuses on the basic characteristics of expansive rock and soil, while the influence about coupling buried depth and different initial water content of surrounding rock on the tunnel lining is still rarely involved. Based on the principle of temperature and humidity equivalence, this paper discusses the behavior of rock as well as the mechanical properties of lining under the interaction of different buried depth and initial water content by using FLAC3D numerical simulation. It was found that the initial water content show an obvious effect on the evolution about the plastic area of rock compared with the buried depth of the tunnel. For shallow tunnels with a water content of less than 10 %, the plastic zone of the vault will penetrate to the surface after water absorption and expansion. Under the coupling effect, buried depth inhibits the development of the plastic zone to a certain extent. For different initial water contents of the surrounding rock, the displacement of the tunnel adds with the burial depth. The swelling of rock will significantly reduce the safety of the primary support, and when the burial depths of the tunnel increase to 150 m, the security coefficients of some primary support structures are less than 2, which does not meet the need in standard. The safety factor of secondary support is mainly influenced by the expansion force, not the ground pressure (represented by buried depth). The findings may be valuable reference for the analysis as well as evaluation of the security as well as stability of tunnels in expansive mudstone.
Aplicability of Magnesium Phosphate Cement for Bioreceptive Concrete Tiles
Authors: Frantová Michaela , Štemberk Petr , Wudi Václav , Husarčíková Mária
Published: January 2025

The pressing need for innovative green solutions in urban environments is evident. This study explores a novel concept of integrating green areas directly onto structural surfaces as a means to enhance urban infrastructure with real floral life. Specifically, the research focuses on the potential application of a newly developed bioreceptive concrete that promotes the growth of microorganisms on its surface. The concrete properties were carefully optimized to enhance bioreceptivity by altering the mix design and employing a different type of hydraulic binder to meet the conditions necessary for biological growth. This bioreceptive concrete was tested as an additional layer on top of normal OPC concrete which was used to manufacture to the supporting structure. The study primarily examines two key properties of the bioreceptive concrete: pH and porosity.
Research on the combined damping technology of shallow buried large-section loess tunnel
Authors: Cheng Xuansheng , Ding Kai , Sun Haodong , Xia Peiyan
Published: January 2025

Due to the uniqueness of loess structures and properties and the higher seismic technical requirements for tunnel engineering, it is imperative to study the seismic response of damping loess tunnels. Based on the Xichengshan tunnel project, a three-dimensional numerical model is established by finite element software to analyze the stress and strain response of the structure under different spacing of shock absorption joints and different stiffness lining. The combined damping measures of " rigid lining+ shock absorption joint " are proposed, and the damping effect of the combined damping measures is further analyzed. The results show that the setting of the shock absorption joint can effectively reduce the dynamic response of the loess tunnel under earthquake, and the recommended value of shock absorption spacing of the loess tunnel is 10 m. The dynamic response of the structure is different with different lining stiffness. The greater the stiffness, the greater the structural stress and the smaller the deformation. The combined damping measures of " rigid lining + shock absorption joint " can give full play to the advantages of single damping measures and effectively reduce the damage of earthquake to loess tunnel.
Rock Slope Stability Design
Authors: Ježek Jan
Published: January 2025

This paper explores the numerical analysis used to determine the global stability Factor of Safety (FS) of the rock slope. The methodology presented herein was employed by the author during the design of the railway cut in Central Bohemia.
Both traditional and numerical methods were applied in designing of the protective stabilization measures for the new rock slope. The analysis supports the results obtained from the conventional geotechnical approach, specifically using the "limit equilibrium method" along the primary planar shear surface, within a rock mass where anisotropic behaviour is influenced by the strikes and dips of discontinuity surfaces, such as bedding planes and schistosity.
The Anisotropic Jointed-Rock Model (AJRM) used in the numerical analysis offers a significant advantage by accounting for the anisotropic behaviour of the rock mass - an aspect often overlooked in standard slope stability methods or when isotropic constitutive models are used in numerical simulations.
Furthermore, mathematical modelling proves beneficial in cases where different constitutive models are required for various geotypes. The combined use of the Jointed-Rock model for the rock mass and the Hardening-Soil model for the quaternary part of the slope within a unified calculation environment provides additional advantages.
The primary objective of the static analysis was to design the rock cut within the geological context of metamorphosed pre-Cambrian rocks, specifically gneiss, located in the southern part of Central Bohemia.
Experimental study on dynamic elastic modulus of reinforced concrete bridge deck panels in salt-freeze environment
Authors: Zheng Xilong , Guan Di
Published: January 2025

Reinforced concrete structures are the most widely used structural form today. In the western salt-alkali areas and in road and bridge engineering environments where de-icing agents are used in the northern regions, chloride ions penetrate the concrete, causing steel reinforcement to lose its passivation and corrode, resulting in durability damage to the reinforced concrete structure. Among all bridge components, the bridge deck panels of reinforced concrete bridges are most severely and directly affected by salt-frost damage. Predicting the service life under salt-frost conditions is an urgent issue to be addressed in the durability design, evaluation, and structural maintenance decision-making of reinforced concrete bridge deck panels. In this study, 15 beam specimens and 75 steel reinforcements were subjected to freeze-thaw tests, and 300 freeze-thaw cycles were performed on the concrete beam specimens to analyze the variation of their dynamic elastic modulus. Freeze-thaw tests were conducted on the steel reinforcement specimens with freeze-thaw cycles of 50 times, 100 times, and 150 times. After the freeze-thaw tests, pull-out tests were conducted to measure the changes in bond strength between the steel reinforcement and concrete, relative slip between the steel reinforcement and concrete, and other data.
Research on the evaluation model of non-motorized travel environment in historical districts considering riding speed
Authors: Hao Sun  , Yuhua Chen
Published: January 2025

Encouraging the use of non-motorized transportation is an effective strategy for alleviating traffic congestion in historic districts. This study utilizes data from a survey on 48 representative roads in Xi'an's historic districts. By considering the cycling environment, the non-motorized roadways in these districts are classified into three categories. The recommended average cycling speed that meets the psychological needs of cyclists at each category is chosen as the evaluation indicators. Based on OLS model, Poisson regression model and negative binomial regression model, an evaluation model for the non-motorized traffic environment in historic districts is established. By comparing the fitting performance of regression models, suitable evaluation models for the non-motorized traffic environment are determined. The results indicate that the Negative Binomial model performs well in fitting the results for class I and class III roads, with fitting coefficients of 0.8070 and 0.9199, respectively. On the other hand, the OLS regression model demonstrates a better fit for class II roads, with a fitting coefficient of 0.7003. The non-motorized travel environment on class III auxiliary roads in Xi'an's historic districts is poor, as most roads fail to meet the speed requirements of cyclists. Class I roads exhibit a favorable non-motorized travel environment, indicating the potential for further encouraging non-motorized travel. Most class II roads in the districts generally meet the requirements for non-motorized travel, but there is limited room for increased non-motorized traffic volumes in the future. The research findings provide a theoretical basis for enhancing the quality of cycling environment in historic districts.