bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive decentralized fixed‐time neural control for constrained strong interconnected nonlinear systems with input quantization
Authors: Wei Fansen , Zhang Liang , Niu Ben , Zong Guangdeng 
Published: June 2024

AbstractThis article investigates the problem of adaptive decentralized fixed‐time tracking control for strong interconnected nonlinear systems with full‐state constraints and input quantization. During the control design process, the assumption that the strong interconnection terms are bounded is removed via an inherent feature of the Gaussian function in neural networks. Unlike presvious nonlinear state‐dependent function (NSDF) that can only handle a single constraint, a novel form of NSDF is introduced to cope with more types of state constraints in this article. Meanwhile, the introduced NSDF is still available when the system states are unconstrained. Simultaneously, quantized input is directly handled by utilizing the intrinsic characteristics of the hysteresis quantizer. Then, based on the Lyapunov stability theory, all signals in the closed‐loop systems and tracking error are guaranteed to be bounded within fixed‐time. Finally, the feasibility of the proposed control scheme is illustrated by simulation results.
Defining their real problems, getting public and policy attention: Global struggles of deprived communities for sustainable development
Authors: Ziafati Bafarasat Abbas 
Published: June 2024

AbstractAgenda is the list of issues or problems that policymakers agree to consider. Agenda setting is a struggle between stakeholders to define these issues. Communities suffering from pollution, homelessness, unemployment, and other unsustainabilities have the best science and most legitimate interest to define these problems for policymakers. However, our knowledge about bottom‐up agenda setting is limited. This study is an original, first‐time investigation to explore and conceptualize how deprived communities engage in the competition to set policy agendas. The findings from analyzing secondary evidence indicate that deprived communities engage in agenda‐setting competition in a three‐step process of (i) defining their problems; (ii) seeking public attention to their problems; and (iii) demanding policy attention to their problems. Strategies that deprived communities use in these steps are identified and illustrated. The study produces a conceptual toolkit to research and map bottom‐up agenda‐setting. The toolkit might be further tested and refined, including in environmental studies. Bottom‐up agenda setting is fundamental to sustainable development by ensuring that framing of social and environmental problems comes from their sufferers so that policymakers rather provide solutions.
Drivers for and barriers to circular economy transition in the textile industry: A developing economy perspective
Authors: Farrukh Amna , Sajjad Aymen 
Published: June 2024

AbstractIncreasingly, pressing sustainability issues including the rise in greenhouse gas (GHG) emission rates, climate change‐related vulnerabilities, and natural resource depletion have propelled companies to transition from a linear economy to a circular economy (CE). While circular business models are gaining currency in the manufacturing sector, empirical research on CE transition in the continuous process industry in developing economies is scarce. Accordingly, the purpose of this study is to investigate the drivers and barriers of CE adoption in the textile industry of Pakistan. To this end, we utilized a qualitative methodology, and a total of 22 semi‐structured interviews were conducted with consultants and senior corporate managers working in the textile sector. Building on the natural resource‐based view (NRBV) and institutional theory, the findings revealed various internal drivers (resource efficiency‐related, organization‐related, and research and innovation‐related factors) and external drivers (market, regulatory, and societal factors) for CE transition. Additionally, the findings demonstrated internal barriers including behavioral, technical, and economic issues, and external issues such as customer and brand‐related barriers, regulatory and policy‐related barriers, as well as supply chain‐related barriers hindering the adoption of CE. We argue that it is one of the early studies to utilize the NRBV and institutional theory to examine the drivers and barriers and provide novel insights into the CE transition in the textile process industry in a developing economy. The findings can assist academics, consultants, practitioners, and policymakers to understand and promote CE as a sustainable strategy in the textile process industry.
Enzyme‐Like Photocatalytic Octahedral Rh/Ag2MoO4 Accelerates Diabetic Wound Healing by Photo‐Eradication of Pathogen and Relieving Wound Hypoxia
Authors: Li Hui , Jiang Jingai , Lv Xinyi , Xu Yan , Wang Wenjun , Yang Dongliang , Dong Xiaochen 
Published: June 2024

AbstractThe harsh environment of diabetic wounds, including bacterial infection and wound hypoxia, is not conducive to wound healing. Herein, an enzyme‐like photocatalytic octahedral Rh/Ag2MoO4 is developed to manage diabetic‐infected wounds. The introduction of Rh nanoparticles with catalase‐like catalytic activity can enhance the photothermal conversion and photocatalytic performance of Rh/Ag2MoO4 by improving near‐infrared absorbance and promoting the separation of electron‐hole pairs, respectively. Rh/Ag2MoO4 can effectively eliminate pathogens through a combination of photothermal and photocatalytic antibacterial therapy. After bacteria inactivation, Rh/Ag2MoO4 can catalyze hydrogen peroxide to produce oxygen to alleviate the hypoxic environment of diabetic wounds. The in vivo treatment effect demonstrated the excellent therapeutic performance of Rh/Ag2MoO4 on diabetic infected wounds by removing infectious pathogens and relieving oxygen deficiency, confirming the potential application of Rh/Ag2MoO4 in the treatment of diabetic infected wounds.
A novel Fe2O3@CeO2 heterojunction substrate with high surface‐enhanced Raman scattering performance
Authors: Zhang Mingjian , Meng Xiangyu , Yu Jian , Xie Yujiao , Liu Lexuan , Wang Yuening , Song Xiaoyu , Chen Guoxin , Ren Wenzhi , Qiu Lin , Wu Aiguo , Wang Xiaotian , Lin Jie 
Published: June 2024

AbstractSurface‐enhanced Raman scattering (SERS) has been applied in many fields due to its advantages of fast and nondestructive detection. For semiconductors, the large‐scale electron‐hole pair separation of heterojunction is conducive to efficient charge transfer, which is a promising SERS substrate. Here, we designed a Fe2O3@CeO2 heterojunction substrate by hydrothermal method and explored its enhancement mechanism in detail. α‐Fe2O3 is a promising semiconductor with a narrow bandgap, and CeO2 has adequate oxygen vacancies on the surface. Combing α‐Fe2O3 and CeO2 into a shell‐core structure, Fe2O3@CeO2 heterojunction presents higher SERS performance than pure Fe2O3 and CeO2 for methyl orange (MO) molecule with a limit of detection (LOD) of 5 × 10−8 mol/L. Under the excitation of 514 nm, Fe2O3 can produce an effective exciton resonance due to its narrow bandgap (2.01 eV). The oxygen vacancy in CeO2 acts as the active site to promote the adsorption of molecules and facilitate the photo‐induced charge transfer (PICT) between the substrate and MO molecules. Therefore, the high SERS performance of Fe2O3@CeO2 heterojunction is achieved due to the coupling effect of excitons resonance, molecular resonance, and PICT resonance. It is found that Fe2O3@CeO2 has good SERS performance and stability to organic pesticides, especially metamitron (LOD = 5 × 10−9 mol/L). This work combines the advantages of Fe2O3 being prone to producing photoelectrons and abundant oxygen vacancies of CeO2, providing a reference for designing semiconductor SERS.
Automated construction of reference model for software remodularization through software evolution
Authors: Meng Fanyi , Yu Hai , Chong Chun Yong , Wang Ying , Zhu Zhiliang 
Published: June 2024

AbstractThe undocumented evolution of a software project and its underlying architecture underscores the need to recover the architecture from the software's implementation‐level artifacts. Despite the existence of various software remodularization techniques, they often suffer from inaccuracies, and evaluating their effectiveness is challenging due to the absence of accurate “ground‐truth” architectures or reference models. Prior studies on reference model construction are time‐consuming and labor‐intensive as it heavily relies on manual analysis by domain experts. Besides, other existing approaches that directly utilize the directory or package structure of the latest version can be unreliable, lacking in‐depth analysis of the employed software structure. To address the above limitations, in this paper, we proposeAutomatedConstruction ofReferenceModel (ACRM), an approach for automatically constructing reference models by assigning weights to classes for various software projects using the metadata of all software versions and historical maintenance records. We evaluate ACRM through both quantitative and qualitative analyses. The experiment results provide quantitative validation and show that the generated reference models are reasonable, as confirmed by the relationship between proposed reference models and architectural smells or bugs. Furthermore, we conduct a survey among the practitioners from industry, to gain insights from practitioners' practices and further validate the generated reference models. The survey shows that, on average, 87% of the participants agree with the reference models generated by ACRM. Moreover, we propose an improved metric,wc2c, which analyzes the strengths and weaknesses of different types of software clustering techniques using the proposed reference models of the given software. Finally, we discuss the potential benefits of using ACRM in analyzed projects, particularly in terms of improving software quality, reducing maintenance costs, and enhancing developer productivity.
Advancements in Starch‐Based Aerogels and Hydrogels for Treatment of Water Containing Heavy Metals – A Short Review
Authors: Kirti Nikhil , Gupta Arijit Dutta , Singh Harinder , Tiwari Hansnath , Blennow Andreas 
Published: June 2024

AbstractRapid industrialization and profligate use of resources in the present era has led to increase in the concentration of toxic heavy metal ions in water bodies and has become a serious environmental concern. Starch hydrogels and aerogels with engineered functionality, porosity, regeneration characteristics, and high surface to volume ratio have rendered them potential candidates for the adsorption of heavy metal ions from wastewater streams. However, grafting, crosslinking, and composting of the starch aerogels and hydrogels to tailor them in response to various stimuli such as ionic strength, pH, and temperature has added an advantage in the treatment of wastewater containing heavy metal ions. This review critically analyses the various synthesis routes for the production of starch‐based aerogels and hydrogels with physico‐chemical characteristics (amylose content, gelatinization temperature, surface area, density, and porosity) and their applicability to adsorb heavy metal (Cd, Cu, Co, Ni, Cr, Pb, Zn, Fe, and Co) ions from wastewater. Future prospects in the development of economical and robust starch‐based aerogels and hydrogels in terms of their stability and reusability have also been discussed.
Estimation of the bar stress based on crack width measurements in reinforced concrete structures
Authors: Corres Enrique , Muttoni Aurelio 
Published: June 2024

AbstractEstimating the stress of reinforcing bars and its variations in service conditions can be useful to determine the reserve capacity of structures or to assess the risk of fatigue in the reinforcement. This paper investigates the use crack width measurements to estimate the stress in the bars. In existing structures, crack width formulations can be used to estimate the stress in the reinforcement from crack width measurements, profiting from additional information that can be measured in‐situ, such as the crack spacing. Recent experimental results show that the values of the mean bond stress typically considered in code formulations overestimate the actual bond stresses activated in cracked concrete specimens. This paper presents the results of an experimental program consisting of reinforced concrete ties and beams instrumented with Digital Image Correlation and fiber optical measurements. The results confirm the differences with typically assumed bond stresses. A formulation to estimate the bond stresses in service conditions is derived from the results of the numerical integration of a previously developed local bond–slip relationship. Their pertinence for the estimation of the stress in the reinforcement from the measured crack width is evaluated with satisfactory results for monotonic loading and for the maximum force in cyclic tests.
Exploring social justice education in Türkiye: Unveiling the impact on university students' social justice perspectives
Authors: Kilic Tugce , Atay Derin 
Published: June 2024

AbstractThe significance of social justice in education has become increasingly important, as education plays a crucial role in empowering individuals and fostering a dynamic environment that promotes awareness of social justice issues. This study focuses on exploring social justice education (SJE) within the context of Türkiye, where research in this area is relatively limited, particularly in terms of classroom‐based investigations. This qualitative study adopted the case study design and facilitates as an extracurricular activity focusing on sustainable development goals, given the absence of a predefined curriculum or specific lesson plans for SJE. The study involved 15 students from a state university preparatory English class and utilized diverse online resources. The study's results indicated a significant transformative influence, specifically in enhancing the comprehension of the scope of social justice and fostering critical thinking abilities. The implications of the study are discussed in detail.
A framework for teaching a moral dilemma narrative to multilingual middle school students: A genre‐based approach
Authors: McKee Jared , Fang Zhihui 
Published: June 2024

AbstractIn this article, the researchers employ a linguistically informed approach to close reading that teaches a moral dilemma through an autobiographical short story. The approach, based on systemic functional linguistics, uses genre analysis that can draw students' attention to the structure, vocabulary, and grammar within literary texts, helping them better understand how meaning is constructed in the text. The authors exemplify this approach through the close reading of “Little Things Are Big” by Jesús Colón (1961) and provide implications for teaching literature about moral dilemmas and close reading to multilingual learners in a middle school ELA classroom. Through this analysis of the story, the authors demonstrate the power of close reading in a multilingual educational setting, showing how genre analysis enables a functional focus on language and meaning in literary reading.
The Relevance of Sr–O–C Isotope Analysis on Burnt Human Skeletal Remains in Archeological and Forensic Contexts: A Review and Future Directions
Authors: De Coster Maura , Ammer Saskia , Laning Tim , Kootker Lisette M. 
Published: June 2024

AbstractRecovery and identification of heavily burnt and fragmented skeletal remains pose significant challenges in fire and arson investigations. The ability to identify individuals is crucial in such cases, prompting extensive research into various techniques to aid in the identification process, including isotopic analysis. Although direct personal identification is not achievable through isotopic analysis of skeletal remains, it serves as a valuable tool for obtaining chemical elements of the biological profile. Strontium (Sr), oxygen (O), and carbon (C) isotope analyses have been widely used in archeological contexts but are relatively new approaches in the medicolegal domain. Oxygen isotope analysis, for instance, offers insights into the burning temperature, while strontium isotope analysis provides valuable information for tracing the individual's movement across geologically distinct landscapes. Consequently, the investigation of the impact of heat on the biogenic isotope composition of human bones in forensic contexts has gained significant attention. This article presents a comprehensive overview of the key archeological and forensic questions addressed by Sr–O–C isotope analysis of burnt skeletal remains. By examining the current state of the art and prospects, we aim to contribute to a broader understanding and potential advancements in the field of forensic isotope research.This article is categorized under:
Forensic Biology > Interpretation of Biological Evidence
Forensic Anthropology > Trauma Analysis
Pediatric stoma in Zambia: Current ethical challenges and advancement of public policy
Authors: Kazen Katherine , Roche Keelin , Ward Luther , Feltis Brad , Ibrahim Sufyan A. 
Published: June 2024

AbstractIntroductionPediatric ostomy creation is becoming increasingly prevalent in Sub‐Saharan Africa (SSA). The procedure is associated with both physical and ethical challenges for patients, their families, and medical providers.Ethical DiscussionCounseling parents of children in need of ostomy creation must address each of their trepidations while seeking to promote the ethical tenets of beneficence, non‐maleficence, autonomy, quality of life, and justice.ConclusionAs pediatric surgical care in SSA continues to progress, efforts to ameliorate challenges to providing holistic patient‐centric care must also progress. This manuscript outlines ethical dilemmas associated with pediatric ostomy care in SSA and lists efforts and initiatives seeking to address them.
Nonlinear analysis of laminated composite shells with piezoelectric patches under displacement‐dependent pressure loads
Authors: Kulikov Gennady M. , Plotnikova Svetlana V. 
Published: June 2024

AbstractIn this paper, the three‐dimensional stress field in nonlinear laminated composite shells with piezoelectric patches subjected to displacement‐dependent loads is analyzed. To solve the problem, the geometrically exact (GeX) hybrid‐mixed four‐node solid‐shell element has been developed. The term GeX means that the middle surface is described by analytical functions, including spline functions, and, therefore, the coefficients of the first and second fundamental forms are taken exactly at the element nodes. The laminated solid‐shell element formulation is based on the choice of an arbitrary number of sampling surfaces (SaS) parallel to the middle surface and located at the Chebyshev polynomial nodes within the layers, in order to introduce the displacements and electric potentials of these surfaces as unknown functions. The outer surfaces and interfaces are also included into a set of SaS. Due to analytical integration utilized to evaluate the tangent stiffness matrix, the proposed GeX piezoelectric solid‐shell element under nonconservative loading exhibits superior performance in the case of coarse meshes and allows the use of only one load step in all considered benchmark problems. Therefore, it can be recommended for the large deformation analysis of doubly curved laminated composite shells with piezoelectric patches, since the SaS formulation allows one to find three‐dimensional solutions of electroelasticity with a prescribed accuracy.
Going to the Edge: Bringing Artificial Intelligence and Internet of Things Together
Authors: Karner Michael , Hillebrand Joachim 
Published: June 2024

AbstractArtificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through Machine Learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with 52 key partners from 12 countries (EU and Turkey), provides intelligent, secure, and trustworthy systems for industrial applications. This results in comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT aims at creating trust in AI-based intelligent systems and solutions as a major part of the AIoT. This article provides an overview of the concept and ideas behind InSecTT, serving as a baseline for all subsequent chapters and articles.
AI-Enhanced Connection Management for Cellular Networks
Authors: Wenning Bernd-Ludwig 
Published: June 2024

AbstractCellular networks such as 4G, 5G and beyond are essential components of current and future communication infrastructure. Current research topics such as smart mobility, intelligent transportation systems and autonomous driving heavily depend on the availability of ubiquitous connectivity. In addition, consumer demand for cellular network resources is ever growing. In the context of the InSecTT project, cellular connectivity contributes, e.g., to use cases in the rail domain, where remote monitoring, maintenance and diagnostics rely on the presence of cellular uplinks from the rolling stock to cloud services. As the rolling stock moves, these uplinks are subject to continuously changing conditions that affect the availability and quality of the connection. To counteract this and to increase resilience, onboard systems may be equipped with a number of uplink options that can be used. This chapter discusses the use of AI to assess and manage the available connections and to move data traffic between the available links according to their expected data rates.
Vehicle Communication Platform to Anything-VehicleCAPTAIN
Authors: Pilz Christoph 
Published: June 2024

AbstractVehicle-to-everything (V2X) is on the verge of being integrated as an integral part of modern vehicles. However, the battle for the final V2X radio technology is still not decided, and the available message standards are complex, hindering research and development. Hence, in our work, we provide a toolbox for early-stage development within V2X, called vehicle communication platform to anything (vehicleCAPTAIN). The vehicleCAPTAIN toolbox comprises (i) a set of software that mitigates the need to adapt for different V2X hardware vendors by decoupling and simplifying implementation, (ii) a set of libraries that supports encoding and decoding of messages, and (iii) a set of software bindings to enable development with ROS2. All software is provided as free and open source (FOSS). Within this work, we prove the functionality of the toolbox with classic end-to-end tests, as well as Qosium, a quality-of-service testing application. Finally, we highlight the applicability and benefits of the vehicleCAPTAIN toolbox for early-stage V2X research and development.
Working with AIoT Solutions in Embedded Software Applications. Recommendations, Guidelines, and Lessons Learned
Authors: Gratorp Christina 
Published: June 2024

AbstractThis chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on guidelines and recommendations for how to work with machine learning models in industrial embedded software applications.