bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Recognition of Deck Cars Based on Big Data Technology
Authors: Li Jinsong
Published: June 2024

With the increasing number of vehicles and the increasingly prominent traffic safety problems, deck cars have become a difficult problem that seriously affects social security and traffic order. Aiming at the problem of deck car recognition, this paper proposes a deck car recognition model based on big data technology. By collecting a large number of vehicle data, combining with deep learning and traditional machine learning methods, an effective recognition model of deck vehicles is designed and its performance is verified in experiments. The experimental results show that our model has achieved very high performance in accuracy, recall, precision and F1 score, and has good generalization ability. This study provides new ideas and methods for the research and practice in the field of deck car recognition, and has certain theoretical and application value.
Research on Mechanical Fault Diagnosis and Prediction Technology Based on Deep Learning
Authors: Lv Jiahao
Published: June 2024

This study introduces an innovative deep learning architecture, amalgamating Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, termed the CNN-LSTM model. Its efficacy in both identifying and anticipating mechanical failures is explored through an examination of vibration datasets sourced from actual industrial machinery. The assessment delves into the model's capabilities across various fault categories and severities. Findings indicate that the CNN-LSTM model exhibits remarkable precision in fault identification, with forecasted outcomes largely aligning with actual fault occurrences, thus corroborating its diagnostic efficacy. A comparative analysis against traditional diagnostic techniques further elucidates the superior performance of the proposed model, as evidenced by its enhanced accuracy, recall, and F1 score metrics. Such results underscore the deep learning model's advanced precision and dependability when addressing intricate fault prediction tasks. This study proves the superior performance of CNN-LSTM model in the task of mechanical fault diagnosis and prediction. This discovery provides strong evidence for the application of deep learning in industrial field, and provides new tools and methods for solving practical engineering problems.
Validity of data estimation methods in large-scale insurance datasets
Authors: Zhao Jinrong , Lan Daibin , Meng Tengfei , Kan Wanting
Published: June 2024

In the insurance industry, accurately processing and analysing large-scale datasets is critical for risk assessment and decision-making. In this study, a comprehensive database was built by collecting and integrating weather-related data, insurance industry data, and attribute-specific data to support in-depth analyses of the impact of extreme weather events. In the data preprocessing stage, we adopted mean-filling and plurality-filling methods to deal with missing data, while applying the 3σ rule to deal with outliers in the data to ensure the completeness and consistency of the dataset. In addition, we used multi-criteria decision analysis methods (VIKOR) and hierarchical clustering models (BRICH algorithm). These advanced analysis techniques not only optimise the data processing process, but also improve the reliability and accuracy of the analysis results. Through these methods, we are able to effectively identify and classify different risk levels, which in turn provides a scientific basis for the pricing of insurance products and risk management. This study shows that advanced data estimation methods can provide effective and accurate support in processing large-scale insurance datasets, which is of great practical significance to the development of the modern insurance industry.
Innovation and Challenges of Smart Metrology in the Industry 4.0 Era
Authors: Zhao Yubin
Published: June 2024

Smart Metrology refer to a way of measure thing by advance technology, those technology include IOT, AI and Deep Learning. It’s not only just a way of measure thing, but also provide manufacturing some way to manage themselves, especially within the framework of Industry 4.0/5.0. in this article, we will talk about some cutting-edge technology and typical case, from there, we will learn and get some basic metrology data. Finally, the challenges and trends will be discussed including some influence.
Acoustic method Temperature and velocity fields in the furnace Co-measurement method study
Authors: Li Yanqin
Published: June 2024

The combustion power field and velocity field of power station boiler chamber have a direct impact on the boiler operation economy and reliability, and the power field in the furnace must be measured collaboratively. However, the thermal conditions of the power field environment is harsh, the traditional method can not be effectively detected, non-contact acoustic wave method can be taken to measure, high precision, simple methods, real-time detection can be realized. Based on this, this paper briefly discusses the acoustic wave method furnace temperature field and velocity field measurement principle, the temperature field and velocity field model construction, acoustic wave trajectory to be analyzed, targeted reconstruction of the temperature field and velocity field, to carry out experimental testing, improve the measurement efficiency and quality, in order to provide reference for related workers.
Consumer Behavior in online purchasing
Authors: Yadav Nisha , Thoke Mayuri , Shrivastav Riya , Prajapati Vibhuti
Published: June 2024

Consumer behavior in online purchasing has become a crucial area of study in the digital age. With the proliferation of e-commerce platforms and the increasing availability of products and services online, understanding how consumers make choices in the digital marketplace is essential for both businesses and researchers. This study explores the various factors that influence consumer behavior in online purchasing, including product information, website design, trust, security, and social influence. Consumers often engage in extensive information search before making an online purchase, and their decisions are influenced by factors such as product reviews, recommendations, and the credibility of the e- commerce platform. Moreover, the impact of psychological and emotional factors, such as trust in online retailers and the perception of security, plays a significant role in shaping consumer behavior. Understanding the role of these factors is critical for businesses aiming to establish and maintain a positive online shopping experience for their customers. Social influence through social media and online communities also plays a notable role in online purchasing decisions, as consumers are often influenced by the experiences and recommendations of their peers. In conclusion, consumer behavior in online purchasing is a multifaceted area that requires a holistic understanding of various factors that drive decision- making. This research provides valuable insights for businesses looking to optimize their online strategies and improve customer experiences in the dynamic world of e-commerce.
The Effect of Students Emotional Intelligence on Academic Performance
Authors: Mokar Girija , Kshirsagar Saksharta , Barangule Shreyas
Published: June 2024

Emotional intelligence (EQ) is the capability to identify, evaluate, control, and categorical feelings in an effective and wonderful way. A person with high EQ is in position to speak better, reduce their anxiety and stress, get to the bottom of conflicts, improve relationships, empathize with others, and overcome life's challenges. The satisfactory of existence of emotional intelligence receives affected due to the fact it influences human behavior and relationships. Developing an excessive EQ can assist decide our success, it can have an effect on our alternatives via growing options we would possibly now not have notion in any other case or regarded to be possible. The baby can have an effect on everything from his or her relationships with classmates to overall performance in the lecture room while managing the emotions.
A Study of Risk Management in Finance Sector
Authors: Kori Pavan , Nimore Priyanka
Published: June 2024

The research paper is based on risk management research. See financial sector. Analysis of risk management practices in the financial sector, I conducted personal interviews and discussions with financial institutions. He is an expert in various areas of the financial sector, including banking, capital markets and taxation. The focus of this article was to look at the importance of risk management. Environments, types and ways to reduce negative impacts.
An Introduction to the Life Circle Rituals of the Sinhala Cultural Context as Traditional Communications Pattern in Sri Lanka
Authors: Sunil KK , N Weerasinghe Pradeep
Published: June 2024

Traditional Communication (TC) represents a key facet of folklore, which predominantly relies on the oral traditions of human societies. Central elements of folklore include folk poems, folk songs, folktales, myths, customs, beliefs, rituals, riddles, proverbs, tattoos, and other forms of aesthetic art. These are prominent phenomena in the village society. Such ethnographic elements can be identified from any ethnic group in the world. The topic of this article is “An introduction to the life circle rituals of the Sinhala cultural context as traditional communication pattern in Sri Lanka.” The primary purpose of this article is to identify the life circle rituals of Sri Lanka and explain their cultural value. This research is conducted as a qualitative study utilizing ethno-methodology. The primary data collection method involved referencing literature sources and conducting document analysis. For data analysis, the content analysis method was employed. The findings presented focus specifically on the transitional stages of Sinhala culture. A key conclusion of this study is that life transitional stages should be considered not merely as biological phenomena but also as sociological and anthropological facts.
Evaluation of Three Organic Agricultural Wastes as Substrates for Cultivation of Mushroom (Pleurotus Tuberregium Fr.)
Authors: Maryrose Chikaosolu Okafor , Raphael Nnajiofor Okigbo
Published: June 2024

Evaluation of three organic agricultural wastes as substrates for cultivation of mushroom (Pleurotus tuberregium Fr.) was investigated in this study. Pleurotus tuberregium was cultivated using three substrates viz 80% saw dust and 20% cassava peels (A), 80% saw dust and 20% yam peels (B) and 80% saw dust and 20% rice bran (C) to determine the substrate with highest growth and yield. The methods used were processing of the organic wastes, bagging, sterilization, inoculation of the spawn, incubation, cropping, watering and harvesting. All treatments for the experiment were laid out using a Completely Randomized Design (CRD) with the three treatments replicated four times. Means were analyzed statistically using (ANOVA) to test for significance. Means were separated using Duncan’s New Multiple Range Test (DNMRT) using Statistical Analysis System (SAS) software. The result revealed that there were significant differences (P < 0.05) in the stipe girth of the mushroom under different substrates at 2.433 ± 0 .60a for substrates A, 2.883 ± 0.85b for substrate B and 3.850 ± 0.86c for substrates C. There was no significant difference (P > 0.05) in the stipe height between substrate A and substrate B but showed significant difference in substrate C at 7.033 ± 0.95b. The pileus girth showed significant difference (p <0.05) in substrates C at 22.804 ± 1.57b and no significant difference in substrate A and Substrate B. The study revealed that though there were growth in all the three substrates but substrate C gave highest growth parameters and yield.
Thermal Assessment of Evacuated and Flat Plate Collector Solar Water Heater for the Enhancement of Collector Area
Authors: Ratnakar Mane Swapnil , Kale Dr. Rajesh
Published: June 2024

Over the past decade, India has witnessed a significant increase in the share of renewable energy sources in its energy mix, rising from 13.2% in 2010 to 24.8% in 2020, driven by governmental policies like the National Solar Mission and the Renewable Purchase Obligation (RPO). This growth has been further fueled by diminishing fossil fuel reserves, rising fuel prices, and global emissions regulations. Consequently, there has been a notable surge in the adoption of solar evacuated tube collector-based domestic water heating systems, with installations in India escalating from 1.8 million square meters in 2015 to 3.2 million square meters in 2020, reflecting increased awareness and the tangible benefits of renewable energy technologies. However, challenges persist, especially in densely populated urban areas with limited installation space due to rapid urbanization. To address this, the study proposes reducing the collector area by varying evacuated tube diameters. Comparative analysis between evacuated tube collectors and flat plate solar water heaters aims to introduce a dual absorber solar water heater capable of harnessing direct and diffused solar radiation, enhancing hot water generation and system efficiency. Findings suggest that 48mm diameter and 1800mm length tubes are optimal for evacuated tube models, while a 4m2 collector area proves excessive for a 150-litre solar water heater. Theoretical validation using MATLAB aligns with experimental results. A dual absorber-based solar water heater is proposed, potentially reducing collector area by approximately 30%. Further research is recommended to refine the capacity and efficiency of this proposed model.
Role of Communication in Negotiation
Authors: Madke Sachin , Mukadam Aakash , Mhatre Gaurav
Published: June 2024

The role of communication in negotiation and how it differs from communication in general contexts. Communication in Negotiation 1. Essential for Understanding Positions: In negotiation, effective communication is crucial as it allows parties to articulate their positions clearly. Each party needs to express their interests, concerns, and desired outcomes. Without clear communication, misunderstandings can arise, leading to failed negotiations or suboptimal agreements. 2. Building Trust and Rapport: Communication in negotiation helps in building trust and rapport between parties. Trust is essential because it encourages openness and honesty, which are vital for parties to explore possible trade-offs and creative solutions. Effective communication fosters a positive environment where both parties feel heard and respected. 3. Exploring Interests and Priorities: Beyond just exchanging positions, communication in negotiation involves uncovering underlying interests and priorities. Parties may have different reasons behind their stated positions, and effective communication allows them to delve into these motivations. This exploration can lead to solutions that better meet the needs of both parties. 4. Problem-Solving and Creativity: Negotiation often requires problem-solving and creativity to find mutually acceptable solutions. Effective communication facilitates brainstorming and the exploration of alternative options. It enables parties to think together, rather than against each other, in finding innovative solutions that maximize joint gains. Communication in General Contexts vs. Negotiation 1. Goal Orientation: Communication in general contexts (such as everyday conversation or formal presentations) may be more about conveying information or sharing ideas without necessarily aiming for a specific agreement. In negotiation, communication is goal-oriented towards reaching a mutually beneficial agreement despite initial conflicting interests. 2. Conflict Resolution: While communication in general contexts can involve resolving misunderstandings or differences, negotiation communication specifically addresses conflicts of interest. It seeks to reconcile opposing viewpoints and find compromises that satisfy all parties involved. Emotional Intelligence: In negotiation, communication often requires a higher degree of emotional intelligence. Parties must manage emotions, understand non-verbal cues, and navigate power dynamics effectively to achieve a successful outcome. This aspect of communication goes beyond factual exchanges and involves empathy and strategic communication.
AS CONTRIBUIÇÕES DA LITERATURA INFANTIL NO PROCESSO DE ALFABETIZAÇÃO ESCOLAR
Authors: Oliveira Andréia Lemos , Alves Ana Julia , Mazzeu Francisco José Carvalho
Published: June 2024

Este trabalho explora a influência da literatura infantil no desenvolvimento das funções psíquicas superiores, como: atenção, memória, criatividade, entre outras, levando as crianças a um desenvolvimento mais pleno e contribuindo de forma decisiva para o processo de alfabetização escolar. O método empregado consistiu em revisão teórico-bibliográfica a partir de autores da teoria histórico-cultural, com ênfase especial às ideias de Vygotsky sobre o desenvolvimento humano. O trabalho conclui que a literatura infantil é fundamental não só para o processo de desenvolvimento da alfabetização, mas também para o crescimento emocional e social, incentivando a empatia, o pensamento crítico e a compreensão das normas sociais. Além disso, enfatiza a necessidade de apresentar às crianças livros que desafiem estereótipos e promovam a diversidade, contribuindo assim para a formação de uma sociedade mais justa e inclusiva.
RONDÔNIA E A DITADURA MILITAR
Authors: Almeida Daniel Alvez de
Published: June 2024

Este artigo investiga a possível utilização sistémica do aparato de repressão política da ditadura militar, em apoio ao processo de reocupação e administração do Território Federal de Rondônia a partir da criação do Programa de Integração Nacional (1970), até a criação do estado de Rondônia, em 1981. A metodologia baseou-se na pesquisa exploratória e documental com abordagem qualitativa. A aplicação do método histórico possibilitou o desenvolvimento de uma análise crítica dos documentos oficiais e da historiografia, bem como, a construção de interpretações contextualizadas diretamente no referencial teórico. Censuras, cassações, espionagem, intimidações, prisões e torturas foram praticadas pelo regime, afim de assegurar o desenvolvimento efetivo do projeto sócio-político dos generais a serviço do grande capital financeiro. A dificuldade em acessar, presencialmente, o Arquivo Nacional em Brasília, a falta de classificação ordeira da maioria dos documentos, já disponibilizados no site do Arquivo Nacional, configurou-se como as maiores limitações na realização deste trabalho.
PEMANFAATAN TEKNOLOGI ARTIFICIAL INTELEGENCE (AI) DALAM MENINGKATKAN PENJUALAN DAN SUSTAINABILITY BISNIS UMKM
Authors: Arief Harefan , Oktaviar Chairiel , Saratian Eko Tama , Nuryadi Hasan , Stephani Suzan Bernadetha
Published: June 2024

Teknologi kecerdasan buatan saat ini berkembang pesat dari waktu ke waktu, namun banyak UMKM yang belum sepenuhnya memanfaatkan teknologi ini untuk kemajuan bisnis mereka. Para pemilik UMKM beranggapan bahwa teknologi kecerdasan buatan atau AI hanya dapat digunakan oleh industri yang mumpuni dengan teknologi serta bisnis kreatif dan digital. Pemilik usaha UMKM di wilayah Jakarta Barat, khususnya di Kelurahan Srengseng, terpantau masih menggunakan cara-cara tradisional dalam berbisnis dalam artian masih belum memanfaatkan teknologi digital internet secara efektif. Selama ini teknologi digital yang digunakan oleh para pelaku usaha adalah teknologi digital dasar seperti menawarkan produknya melalui SMS atau media sosial seperti Facebook, Instagram, dan Whatsapp. Hal ini dikarenakan keterbatasan pengetahuan dan sumber daya manusia yang mampu mengelola bisnis dengan menggunakan teknologi digital. Berdasarkan permasalahan yang telah diuraikan di atas, sebagai lembaga pendidikan dimana perguruan tinggi memiliki tanggung jawab kepada masyarakat untuk memberikan solusi yang akan dilakukan seperti memberikan pelatihan kepada masyarakat mitra UMKM dalam meningkatkan pengetahuan dan literasi serta peningkatan keterampilan dalam teknologi digital yang lebih canggih yaitu dengan pemanfaatan artificial intelligence atau kecerdasan buatan dan membantu memastikan implementasi teknologi ArtificiaI Intelligence yang dapat dimanfaatkan dalam rangka meningkatkan inovasi baik inovasi produk, inovasi promosi sehingga akan dapat meningkatkan penjualan yang pada akhirnya bertujuan untuk keberlanjutan usaha (sustainable).
OPTIMALISASI PEMASARAN PRODUK KULINERMELALUI MEDIA ONLINE DI KELURAHAN JOGLO, JAKARTA BARAT
Authors: Gani Abdul , Octaviar Chaeriel
Published: June 2024

Kementerian perindustrian dan perdagangan tengah memfokuskan pengembangan industri makanan dan minuman nasional melalui penerapan standar keamanan dan menciptakan inovasi produk, terutama dalam menghadapi era ekonomi digital. Dengan upaya ini, diharapkan dapat memperluas pasar, tidak hanya domestik, tetapi juga ke negara tujuan ekspor. Produk kuliner atau makanan merupakan kebutuhan pokok masyarakat sehari-sehari sehingga akan selalu ada permintaan akan makanan. Hal ini menghasilkan peluang bisnis kuliner yang sangat potensial terutama  diwilayah kelurahan  Joglo yang memiliki  sentra industri kuliner. UMKM di bidang kuliner dapat dimulai dengan modal uang yang kecil. Permasalahan  pokok  yang dihadapi oleh  sebagaian besar sentra industri rumah tangga khsususnya kue jajanan pasar khas Betawi adalah  terutama  tentang mutu dan  standarisasi pengolahan produk   mulai dari pemilihan bahan baku   dan   sistem pemasaran berbasis digital. Solusi  yang  akan dilakukan  adalah dengan memberikan pembelajaran  secara praktek  tentang proses pengolahan mulai pemilihan bahan baku sampai dengan produk jadi jajanan pasar khas betawi dan memberikan pembelajaran   model pemasaran produk kuliner berbasis  digital/ on line. Target  seleksi bahan baku berkualitas, disain branding dan  melakukan standarisasi proses pengolahan produk kue yang berkualitas dan pengemasan yang esien dan efektif serta menggunakan saluran pemasaran berbasis online.
ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PAKAN TERNAK DENGAN METODE EOQ PADA SAPI JUARA FARM
Authors: Husain Muhammad Akbar , Andika Roby , Anugraha Aldivo , Salsabila Raden Fadhilla , Sabrina Reyhani Intan , Putri Safira Kencana , Husyairi Khoirul Aziz , Ainur Tina Nur
Published: June 2024

Sapi Juara Farm is an entity in the livestock sector focused on the production of fresh milk. Its production process heavilyrelies on the availability of animal feed. Currently, the feed inventory management at Sapi Juara Farm has not achievedmaximum efficiency due to internal policies. To enhance efficiency, the company is considering the implementation of theEconomic Order Quantity (EOQ) method. This study aims to evaluate feed inventory management by comparing thecurrent policy with the EOQ method. The research findings indicate that the EOQ method is more effective in managinginventory, reducing the ordering frequency from 48 to 24 times per year, and decreasing the total inventory cost from IDR6,522,458 to IDR 5,237,366. Additionally, a safety stock of 530 kg is required to ensure smooth production.
Metamaterials genome: progress towards a community toolbox for ai metamaterials discovery
Authors: Earnshaw Jacob , Syortiuk Nicholas , Duncan Oliver , Kaczmarczyk Lukasz , Scarpa Fabrizio , Szyniszewski Stefan
Published: June 2024

Understanding the limits of the design space is a key aspect in optimising complex hierarchical structures and is vital for exploring and designing novel Metamaterials. Simultaneously, abundant data (mostly text, images, and location) aggregated by multinational corporations accelerated the development of machine learning and artificial intelligence technologies. Although increasingly conceptually advanced, the origins of machine learning can be traced back to traditional statistical methods and datacentric analysis. These techniques have been used in fields where establishing relationships and using differential equations or closed-form descriptions have been challenging due to the systems’ complexity. However, well-established and validated physics-based modelling tools offer direct solutions for various physical domains relevant to metamaterials. What is the right place for the emerging machine learning techniques in that context?
Phase-field-based chemo-mechanical modelling of corrosion-induced cracking in reinforced concrete
Authors: Korec Evzen , Jirasek Milan , Wong Hong , Martinez-Paneda Emilio
Published: June 2024

A new model for corrosion-induced cracking in reinforced concrete is presented [3,4]. Corrosion-induced damage leads to the delamination/spalling of concrete cover (responsible for 70-90% of prematurely deteriorated reinforced concrete structures) or even structural failure as infamously documented by recent collapses of RAAC panels in British schools [2]. The state-of-the-art knowledge of the involved chemo-mechanical processes was captured in several coupled parts of the model. Firstly, the diffusion-driven reactive transport of iron ions from the corroding steel rebar and their precipitation into rust (both in concrete pore space and into dense rust layer in the vicinity of rebar) were simulated. The transport of aggressive species such as chlorides to the steel rebar and the enhanced transport of all considered species through cracks were considered. Rust has a significantly lower density than original steel. Thus, the constrained accumulation of rust in dense rust layer and concrete pores exerts pressure on concrete which was predicted and a new precipitation eigenstrain concept was introduced. The mechanical properties of rust were taken into consideration. The quasi-brittle fracture of concrete was then simulated with the phase-field model. The proposed model was implemented in COMSOL Multiphysics software and solved numerically with the finite element method. Both uniform and non-uniform corrosion case studies were investigated and validated with experimental data. Importantly, the model allows to simulate the impact of the magnitude of the current density on the propagation rate of cracks, which has been puzzling researchers for over 25 years
Overlapping improved element-free Galerkin and finite element methods for the solution of non-linear transient heat conduction problems with concentrated moving heat sources
Authors: Alvarez-Hostos Juan , Ullah Zahur
Published: June 2024

A novel overlapping approach, termed the Overset IEFG-FE method (Ov-IEFG-FEM), is proposed for solving transient heat conduction problems with concentrated moving heat sources. This mesh-less/mesh-based chimera-type method combines improved element-free Galerkin (IEFG) and finite element (FE) methods. The Ov-IEFG-FEM uses a coarse FE mesh to discretise the problem geometry, while a set of overlapping patch nodes moves with the heat source, enhancing accuracy via the IEFG technique to capture marked thermal gradients. In regions outside the heat source area where accuracy requirements are lower, the thermal problem is solved using the FE method (FEM). The method involves solving the problem over these two overlapping domains and transferring numerical information between the approximations performed on both. The Ov-IEFG-FEM aims to provide an enriched solution by coupling temperature fields computed on the patch nodes and the coarse background mesh using IEFG and FE methods, respectively. Numerical experiments demonstrate the method potential in accurately and efficiently solving transient heat conduction problems with concentrated moving heat sources, including marked non-linear aspects related to temperature-dependent properties and phase change phenomena.
Stochastic modelling of unstable preferential flow in spatially varying water repellent soils
Authors: Ricketts Evan , Cleall Peter , Jefferson Anthony , Kerfriden Pierre , Lyons Paul
Published: June 2024

It has been established that material variability can lead to distinct unstable hydraulic behaviour, and is prominent in soils due to their large spatial heterogeneity. This behaviour is amplified when the wettability of the medium is non-uniform, specifically if the soil becomes hydrophobic. When soil is naturally water repellent (WR), there is often spatial variability of wettability, such that a network of preferential flow paths is created. As water infiltrates, the water repellent regions will impede flow, resulting in preferential wetting pathways. This leads to highly preferential fingered flow, and can result in rapid movement of contaminants, or induce localised erosion. The WR properties of soil can be induced artificially through the addition of chemicals, via contamination, and as the consequence of natural processes such as wildfire. In this study, an investigation into the modelling of hydrophobic soil is presented. Local spatial variations in material parameters are accounted for using Gaussian random fields as part of a stochastic finite element model. This is then employed to replicate field scale experiments. A key component of the model is the relationship used to represent the saturation-capillary pressure relationship responsible for defining water entry pressures. For wettable soil, this can be achieved with the standard van Genuchten relation. For hydrophobic soil, this is not applicable; thus, an alternative is employed. Results from numerical simulations are presented, which are based on a set of published experimental data
Bio-inspired cellular nanocomposite shells: stability analysis
Authors: Aragh Behnam , Tan Wei , Hughes David
Published: June 2024

The pressing global issues of climate change, sustainability, and energy efficiency spark an urgent demand for resilient lightweight structures. Consequently, porous cellular materials have emerged as a promising category of lightweight materials, capable of concurrently meeting various requirements, ranging from structural stiffness to thermal insulation. While the majority of metal foam studies focus on random porosity, recent research actively pursues economic multi-functionality through precise control of pore size and density. This approach draws inspiration from bio-inspired functionally graded materials, which prioritises gradual transitions, observed in the intriguing instances of squid beaks and varying bone porosity. Consequently, this paradigm has given rise to novel continuously graded porous (CGP) metal foam structures. Building upon these concepts, this paper introduces an innovative numerical model to analyse the buckling behaviour of bio-inspired CGP nanocomposite cylindrical shells. An effective constitutive law for an elastic isotropic metal matrix containing distributed elastic carbon-nanotubes (CNTs) is estimated, considering CNTs agglomeration through an Eshelby-Mori-Tanaka (EMT) approach. Unlike conventional methods, Euler-Bernoulli beams model stiffeners within CGP shells for a more realistic representation of stiffener effects. Equilibrium equations based on Reddy’s higher-order shell theory are derived using the Euler equation, and stability equations are obtained through the variational method. The stability equations were solved employing the generalised differential quadrature and Levy techniques. The intricate interplay between CNTs and porosity distributions significantly affects the stability behaviour of CGP shells. These findings offer valuable insights for designing closed-cell cellular stiffened shells with optimal porosity to improve buckling stability
Validation of Open-source CFD Solvers for Rotating Detonation
Authors: Hann Reuben , Grustan-Gutierrez Enric
Published: June 2024

Computational Fluid Dynamics (CFD) are a core aspect of research into Rotating Detonation Engines (RDEs). However, barriers to entry to conduct RDE CFD simulations, such as pay-walled and closed-source solvers hinder the ability of researchers to recreate, validate and build on past work in the RDE research field. As such, we test an open-source alternative solver, RYrhoCentralFoam, a multi-phase, multi-component, compressible and reacting flow OpenFOAM solver developed by the National University of Singapore’s Computational Combustion and Energy Group. We validate and test the solver by simulating a hydrogen-air small annular RDE across a range of mass flow rates. Using this solver, we were able to achieve rotating detonation in a simulated small RDE, at mass flow rates ≥40 g/s with stoichiometric mixtures. The detonation velocity was within 90-94% of the Chapman–Jouguet detonation velocity, this being higher than the typical 60-80% range for annular RDEs. This is due to the inviscid flow conditions assumed in the RDE chosen to limit the computational cost of the simulation.
Modelling post-failure behaviour of chalk cliffs with the Material Point Method
Authors: Sutcliffe Sam , Coombs William , Zhang Wangcheng , Duddu Ravindra
Published: June 2024

This work evaluates the use of the Material Point Method (MPM) with continuum damage plasticity to model fracture for the use of a combined pre- and post-failure simulation. MPM is used to allow for large deformations and geometry changes without mesh distortion and damage diffusion. An integral non-local continuum damage model is used to model brittle fracture, which avoids the mesh dependency issues exhibited by local models. The modelling approach is demonstrated on chalk cliff collapse problems, where the final state of the rock formation after the failure is of importance and critically linked to further failure processes.
Efficient Stochastic Analysis of Landslide Post-Failure Characteristics Using Dimension Reduction Method and Machine Learning
Authors: Li Jianping , Ma Guotao , Jiang Shuihua , Rezania Mohammad , Nezhad Mohaddeseh
Published: June 2024

Landslides pose a significant global threat due to their sudden occurrence and their widespread influence. The inherent spatial variability of soil properties brings great uncertainty to the post-failure behavior of landslides. Generally, the assessment of the uncertainties of slope post-failure characteristics through probabilistic large deformation analysis is determined for assessing and mitigating landslide risks. However, probabilistic landslide simulation based on brute-force Monte Carlo is complex and time-consuming. Therefore, this study proposes a two-stage dimension reduction method and machine learning model-based stochastic approach for improving the efficiency of quantifying the uncertainties of slope post-failure characteristics, which considers the spatial variability of shear strength. In the proposed method, the random field is firstly generated using the Karhunen-Loève expansion (KLE) method. Then, the slope post-failure characteristics parameters of pre analysis samples are obtained using the generalized interpolation material point method (GIMP). Finally, based on the extreme gradient boosting (XGBoost) with sliced inverse regression (SIR) technique, a binary classification surrogate model is constructed to relate random field variables to the maximum relative displacement (Rd) in the characteristic parameters. Results show that the reduced input dimension from 1080 to 100 through KLE is still too high for constructing the surrogate model, while SIR is used for the second dimensional reduction from 100 to 20 of input variables to improve the accuracy of the surrogate model up to 0.98. The proposed model is used to identify hazardous samples, and we simply utilize large deformation analysis on hazardous samples. It suggests that the proposed method in this study is capable of quantifying the uncertainties of slope post-failure characteristics with accuracy and high efficiency dropping time-consuming GIMP.
Response of a slender structure subject to stochastic ground motion and body force
Authors: Olawale Lukman , George Erwin , Gao Tao , Lai Choi-Hong
Published: June 2024

The stochastic analysis of the deflection behaviour of an idealised slender structure subject to stochastic disturbance is studied. In a previous work by the authors, the response of an Euler-Bernoulli beam subject to stochastic disturbance was studied. The current work extends the same techniques to a modified Euler-Bernoulli beam with both flexural beam and shear properties. The beam is subjected to a stochastic ground motion in the form of periodic motion with disturbance in the amplitude of the motion. The disturbance is in the form of Gaussian white noise. This results in a Stochastic Partial Differential Equation (SPDE) version of the modified Euler-Bernoulli beam equation. The stochastic analysis was then conducted by numerical methods using a combination of a finite difference scheme and Monte-Carlo Simulation. Given that the input force is Gaussian, it is also observed that the response of the system is a Gaussian process.
Redes Metal-Orgánicas como agentes prometedores en remediación ambiental
Authors: Rincón Irene , García-González Jessica , Rojas Macías Sara
Published: June 2024

Los contaminantes orgánicos emergentes (COEs) son una clase de contaminantes generados por la actividad humana (ej. agroquímicos, productos farmacéuticos y de cuidado personal). Los COEs se liberan directamente al medioambiente tras pasar por las plantas de tratamiento de aguas residuales (no equipadas para eliminarlos), lo que implica un grave riesgo para la salud y el medioambiente. Recientemente, las redes metal-orgánicas o MOFs (del inglés, Metal-Organic Frameworks) se han propuesto como materiales para la eliminación de COEs. Esta revisión describe las diferentes estrategias basadas en MOFs para la eliminación de estos contaminantes en agua (adsorción y/o (foto)catálisis), y cita algunos de los trabajos más destacados.
Control de la reactividad en plataformas moleculares multifuncionales y su aplicación a la construcción molecular orientada a la diversidad. Éteres propargílicos vinílicos como un caso de estudio
Authors: Tejedor David , García Tellado Fernando
Published: June 2024

En este tutorial se muestra con el ejemplo de los éteres propargílicos vinílicos, bloques sintéticos multifuncionales, como es posible instrumentalizar la reactividad emergente de la combinación de sus grupos funcionales para el diseño y desarrollo de procesos dominó (cascada) ramificados para la generación de complejidad molecular orientada a la diversidad.
Arquitecturas porosas ordenadas como catalizadores heterogéneos para una síntesis orgánica sostenible
Authors: García Cirujano Francisco
Published: June 2024

El diseño de arquitecturas porosas ordenadas como catalizadores heterogéneos para transformaciones orgánicas sostenibles es un frente de investigación interdisciplinar en la frontera de la catálisis y de los nanomateriales. En esta revisión se presentan, en primer lugar, distintas familias de arquitecturas porosas ordenadas, como son los silicatos, las sílices mesoporosas y las redes metal-orgánicas, describiendo ejemplos particulares de geometrías y composiciones. Su comportamiento catalítico en transformaciones de moléculas orgánicas que implica la formación de enlaces C C, C-O y C-N se ejemplifica en varias etapas de síntesis orgánica de oxo- y aza-compuestos de alto valor añadido en la industria química fina y farmacéutica.
La nomenclatura química según las normas de la Real Academia Española
Authors: Salvatella Ibáñez Luis
Published: June 2024

La nomenclatura química se basa en las recomendaciones de la IUPAC en inglés. Sin embargo, las versiones españolas del Libro rojo y del Libro azul no abordan sistemáticamente las particularidades del español. Aquí se describen las consecuencias de una interpretación estricta de la ortografía normativa en varios aspectos de la nomenclatura química, como el uso de z antes de e o i, las grafías yodo/iodo, la tilde, la mayúscula, la generación de palabras compuestas mediante yuxtaposición o guion, el uso de la conjunción copulativa y la adaptación de las fórmulas.
Successful surgical treatment of asymptomatic giant pheochromocytoma. Clinical case
Authors: Gulyaev Yu. A. , Dinikin M. S.
Published: June 2024

The aim of the article is to provide the reader with some information about etiology, pathogenesis, diagnostic methods, clinical manifestations and treatment of pheochromocytoma. The clinical case describes difficulties in differential diagnosis of retroperitoneal neoplasms, possible errors in obtaining morphological verification of pheochromocytoma, and successful surgical treatment of a patient with a giant pheochromocytoma
Anti-Corruption Education in Shipping Universities: Efforts to BuildIntegrity in the Maritime Industry
Authors: David Muhammad , Nuriyanti  , Adi Panggi Nur , Romadhoni Dita , Nurdiyanti Aina
Published: June 2024

The aim of this research is to explore the strategies and approaches used by shipping universities to teach anti-corruption practices and build integrity in the maritime industry. The study was carried out using a descriptiveanalytical research model that involved reviewing relevant literature and sources of information. The findings of this research suggest that anticorruption education should be an essential part of maritime education. Effective educational strategies include the use of real-life case studies, simulations of corruption scenarios, and collaborative learning to enhance students' understanding of corruption risks in the maritime context. A holistic approach is also adopted, which involves collaboration with industry, establishing a code of ethics, and cultivating the values of integrity. The research results indicate that implementing this approach can produce graduates who are more aware of anti-corruption practices, promote integrity, and contribute to improving ethics in the maritime industry.
Improving the Quality of Vocational Learning through Merdeka Learning (Literature Review)
Authors: Sabaruddin  , Arifin  , Nurmala Eka , Hartati Diah Vitaloka , Sultan
Published: June 2024

The government is committed to providing education to all parts of the country in order to enhance the quality of education for everyone. The independent curriculum, which focuses on independent learning at independent campuses, aims to improve the quality of learning in educational institutions, particularly vocational education. This approach is based on the students' abilities, thus enabling them to compete globally by providing the skills required in the business and industrial workforce. The Systematic Literature Review (SLR) method was used in this research, which involves a systematic sorting of scientific sources before determining which ones are suitable for the purpose of obtaining more objective and reliable results. The research findings demonstrate that the independent curriculum through independent learning - independent campuses approach can enhance the quality of learning, especially in vocational education institutions, where it is crucial to prepare students for real-life work.
The Impact of Surrogate Advertising on Public Perception and Awareness on Chhattisgarh with Special Reference to Raipur.
Authors: Kasturi Pomal  , Rakshak Bharti
Published: June 2024

The industries often argue in defence of advertising their products such as alcohol and tobacco, citing the significant taxes they contribute. Despite the decline in tobacco advertising, both alcohol and tobacco industries continue to promote their products indirectly through surrogate advertisements. These ads often endorse other products under the same brand or present altered versions of the original products, exerting similar influences on consumers' perceptions. The primary objective of this study is to investigate the impact of surrogate advertising, utilizing primary data gathered through surveys to assess public awareness and perceptions. Given India's diverse cultural landscape and demographics, understanding the actual effects of these ads is crucial. It is essential to determine whether the general public comprehends how surrogate advertisements function and whether they can distinguish them from regular advertisements. Ultimately, the focus should be on evaluating the influence of these ads on both the market and individuals and understanding viewers' perspectives on them.
Athlete muscle strength control training based on network security and multi-source information fusion
Authors: Zhang Zhongxing , Cai Jun
Published: June 2024

With the booming development of competitive sports worldwide, athletic training is receiving increasing interest in the world. Major sports organizations and universities around the world have established their own athlete training centers to support sports training and scientific research activities in recent years. Data from strength training is crucial for controlling muscle strength. However, this key factor is often attacked by the network. As NS threats escalate, artificial intelligence-driven strength training systems encounter information security risks. Therefore, this paper proposed a new strength training method based on NS and Multi-Source Information Fusion (MSIF). This method evaluates athletes’ sports skills, speed quality and strength quality through data fusion algorithm to effectively monitor the activities related to muscle strength control training. The research results showed that under the same conditions, the P value of the indexes of sports skills, speed quality and strength quality of male and female athletes in Group X before and after the experiment was greater than 0.05, and there was no significant difference; the P value of Group Y was less than 0.05, showing a significant difference, and indicating that the relationship between NS and MSIF and athletes’ muscle strength control training was positive.
W kwestii dopuszczalności skargi nadzwyczajnej od prawomocnych orzeczeń kończących postępowanie w sprawie, wydanych w postępowaniu egzekucyjnym – część 2
Authors: Ged Monika
Published: June 2024

In the second part of the article dedicated to admissibility of an extraordinary complaint against valid rulings that close proceedings in a case, the author has focused on the issue of admissibility of an extraordinary complaint against rulings issued in enforcement proceedings. The analysis is focused on practical aspects of this subject matter. A focal point of the publication is the discussion of selected judgements of the Supreme Court issued as a result of ecognising extraordinary complaints against rulings issued in enforcement proceedings. In the summary, the author presents her position on the admissibility of filing an extraordinary complaint against valid rulings issued in enforcement proceedings and carries out a practical assessment of applying this extraordinary complaint measure in enforcement proceedings.
Dopuszczalność ustalenia opłaty stosunkowej z art. 30 u.k.k. w przypadku odmowy wszczęcia egzekucji
Authors: Szachta Joanna
Published: June 2024

Article 800(1) was introduced into the Code of Civil Proceedings with the Act of 9 March 2003 on amendments to the Act – Code of Civil Proceedings and certain other laws. The regulation is related to art. 804(2) of the Code of Civil Proceedings. In view of the introduced changes, it seems inevitable to revise present opinions concerning a refusal to initiate enforcement and its impact on determining an enforcement fee. The analysis is an attempt at answering the following question: if a petition is filed for initiating enforcement without proving the transfer of title with an official or private document with a signature fficially certified, is it admissible to determine an enforcement fee? If the answer is positive: on what basis may a bailiff determine an enforcement fee?