bluuebunny/crossref_metadata_2025_split huggingface dataset:
Residential mobility and social capital: Regional analysis in Finland
Authors: Jokela Markus , Soini Eetu , Laakasuo Michael , Parikka Suvi , Rotkirch Anna , Hämäläinen Hans 
Published: October 2024

AbstractMultiple factors can influence the rates of residential mobility flows between different regions of a country. Studies have often focused on demographic and economic factors, but social conditions may be relevant as well. We examined whether different indicators of social capital (i.e., social support, loneliness, social trust, community participation, cultural activities, and meeting other people) were associated with population migration rates across 299 municipalities of Finland. Data for the social characteristics were derived from the Regional Health and Wellbeing study (n = 100,750 respondents) aggregated to the level of municipalities using multilevel regression with post‐stratification (median number of participants was 115 individuals per municipality, range from 5 to 10,616). Residential mobility rates were derived from census data. Municipalities with higher levels of social support, higher social trust, more cultural activities, and more frequent social contacts had higher net migration rates, that is, more people moving in than out of the municipality. Social support, cultural activities, and community participation were associated with higher in‐migration. Social trust and frequency of meeting people were associated with lower out‐migration. The findings provide empirical support for the hypothesis that regions with stronger social capital are more attractive destinations for within‐country residential mobility.
Reachable Set Estimation for Singular Discrete‐Time Nonlinear Systems With Time‐Varying Delays
Authors: Vu Le Huy 
Published: October 2024

ABSTRACTIn this article, the reachable set estimation problems for a class of singular discrete‐time nonlinear systems (SDNS) with time‐varying delay (TVD) are presented. First, we employ a Lyapunov function scheme and utilize zero‐type free matrix equations. Based on this, a criterion is derived in the form of linear matrix inequalities (LMIs) to guarantee that the considered system to be regular, causal, and the state trajectory of the system is bounded. Second, by developing the singular systems decomposition technique into slow and fast subsystems and using the introduced auxiliary lemma, we establish that the state trajectory of the fast subsystem is also bounded, and the reachable set of singular nonlinear system is bounded within the ellipsoid. Finally, Numerical examples are presented to illustrate the effectiveness of the proposed method.
Cinnamon – A Competent Drug: A Review on Extraction, Analysis and Anticancer Action
Authors: Demina T. D. , Margaret Rodrigues Roopa , George Louis , Varghese Anitha 
Published: October 2024

AbstractCinnamon, an Indigenous species, is extensively used as a folk medicine in India, China, and other parts of the world due to its therapeutic potential inherited via the latent chemical composition. The vital component presented is cinnamaldehyde, along with cinnamic acid and cinnamate, which contributes to being an anti‐inflammatory, antimicrobial, antidiabetic, and anticancer agent together with the capability to control neurological syndromes like Alzheimer's and even Parkinson's diseases. Given the importance of the anticarcinogenic properties of cinnamon on various cell strains concerning the curable effect, this review focuses on evaluating different extraction methods like steam distillation, Soxhlet extraction, microwave‐assisted extraction, and more, in addition to a summary of new technologies like gas chromatography, HPLC, DART‐MS, and NMR, etc. which paved the way in characterizing the chemical composition of cinnamon. Cinnamaldehyde showed its apoptosis through various mechanistic pathways on an adequate number of cell lines and antineoplastic potential on specific multifaceted cancerous cells, which advocates for continued research and investment in this vital area of drug discovery and suggestions for future scope.
Adsorption of Pb(II) and Cd(II) on Modified Coal Gasification Slag: Competitive Adsorption, Leaching Toxicity, and Adsorption Mechanism
Authors: Yang Jian , Liu Ting , Ma Rui , Ma Hongzhi , Dong Biqin , Xia Changlei , Li Hongxia 
Published: October 2024

AbstractTo remove heavy metals from wastewater, coal gasification slag (CGS) was prepared as an adsorbent. Five modified materials were created, including HF‐CGSC, KOH‐HCl‐CGS, and three KOH‐CGS variants with different mass ratios. The adsorption tests showed KOH‐CGS (0.25) had the best efficiency for Pb(II) and Cd(II) via spontaneous chemisorption. Kinetic, thermodynamic, and 13C NMR analyses indicated that adsorption involved pore adsorption, functional group coordination, and π‐π interactions. Competitive adsorption results showed minimal interaction between Pb and Cd. Leaching tests confirmed the process's environmental safety. This study suggests new approaches for using coal gasification slag in wastewater treatment.
Efficient Synthesis of Bis(indolyl)methane Derivatives on Heterogeneous Ga‐MCM‐41‐SO3H Catalyst under Mild Conditions
Authors: Van Do Dang , Nguyen Van Thi Hong , Linh Tran Tuan , Le Thanh Son , Ngoc Binh Vo , Nguyen Hien , Cho Cheon‐Gyu , Hung Tran Quang , Dang Tuan Thanh , Ngo Quoc Anh 
Published: October 2024

AbstractWe are reporting a convenient method for the synthesis of bis(indolyl)methane derivatives from relatively cheap and commercially available chemicals such as indoles and aldehydes in a one‐pot procedure using Ga‐MCM‐41‐SO3H heterogeneous catalyst. Notably, the use of this catalyst has resulted in high yield of products (up to 98 %) under mild conditions, and the catalyst was found to be stable and reusable, retaining its highly catalytic activity even after five runs. Interestingly, two alkaloids Arsindoline A and Turbomycine B were successfully synthesized in the employment of this catalyst. These findings suggest that Ga‐MCM‐41‐SO3H could be a promising alternative to traditional acid homogeneous catalysts in the synthesis of bis(indolyl)methane derivatives, offering several advantages including ease of separation and reuse, high stability, and low toxicity.
Research Progress of Human Biomimetic Self‐Healing Materials
Authors: Zhang Jingyi , Sun Fuyao , Xu Jianhua , Zhao Zi‐Han , Fu Jiajun 
Published: October 2024

AbstractHumans can heal themselves after injury, which inspires researchers to develop bionic self‐healing materials. Such materials not only equipped with the self‐repair capacities akin to those of the human body, but also emulate the mechanical properties of human organs, including the tensile resilience of muscles, the fatigue resistance of skin, and the elevated modulus typical of cartilage. Based on the design concept of imitating the structure of human organs, the bionic self‐healing material perfectly solves the problem of poor mechanical properties of self‐healing materials caused by weak bond energy and inter‐chain flow. This review discusses various organ‐inspired self‐healing materials in detail, summarizes their synthetic principles and introduces their fascinating mechanical properties. Finally, the application prospects of bionic self‐healing polymer materials, such as bio‐strain sensors, self‐healing anticorrosive coatings, biomedical detection, etc., are outlined. Considering the excellent comprehensive performance and multi‐functions of human biomimetic self‐healing polymers, more outstanding sustainable materials will be developed, accelerating research progress in self‐healing materials and realizing environmentally friendly products in multiple fields.
Achievements and Challenges in Surfactants‐Assisted Synthesis of MOFs‐Derived Transition Metal–Nitrogen–Carbon as a Highly Efficient Electrocatalyst for ORR, OER, and HER
Authors: Li Ru‐Ji , Niu Wen‐Jun , Zhao Wei‐Wei , Yu Bing‐Xin , Cai Chen‐Yu , Xu Li‐Yang , Wang Fu‐Ming 
Published: October 2024

AbstractMetal–organic frameworks (MOFs) are excellent precursors for preparing transition metal and nitrogen co‐doped carbon catalysts, which have been widely utilized in the field of electrocatalysis since their initial development. However, the original MOFs derived catalysts have been greatly limited in their development and application due to their disadvantages such as metal atom aggregation, structural collapse, and narrow pore channels. Recently, surfactants‐assisted MOFs derived catalysts have attracted much attention from researchers due to their advantages such as hierarchical porous structure, increased specific surface area, and many exposed active sites. This review mainly focuses on the synthesis methods of surfactants‐assisted MOFs derived catalysts and comprehensively introduces the action of surfactants in MOFs derived materials and the structure‐activity relationship between the catalysts and the oxygen reduction reaction, oxygen evolution reaction, and hydrogen evolution reaction performance. Apparently, the aims of this review not only introduce the status of surfactants‐assisted MOFs derived catalysts in the field of electrocatalysis but also contribute to the rational design and synthesis of MOFs derived catalysts for fuel cells, metal–air cells, and electrolysis of water toward hydrogen production.
Coupling CoIr Nanoalloys with MXene by Lewis Acidic Molten Salt Etching for Wide‐pH‐Environment Hydrogen Evolution Reaction
Authors: Zhou Qingqu , Zhao Hongyu , Wang Lin , Li Zilan , Li Ruidong , Jiang Linbo , Jiang Lintao , Jiao Jixiang , Mu Shichun 
Published: October 2024

AbstractMetal/MXene‐based materials show broad prospects in energy conversation through the strong metal‐support interaction (SMSI). However, the difficulty and harshness of synthesis heavily limit their further application. Herein, using Lewis acidic molten salt to etch MAX as a precursor of MXene, a more convenient and safer strategy is designed to in situ construct the MXene‐supported CoIr nanoalloy (CoIr/MXene) catalyst through Ti─O─M bond. The special layered structure and oxygen‐containing functional group of MXene regulate the SMSI upon CoIr nanoalloys. Moreover, the contact angle and in situ Raman test results exhibit good interface hydrophilicity of MXene, enhancing the water adsorption on interfaces, and accelerating the mass transfer process. As a result, CoIr/MXene shows high hydrogen evolution reaction (HER) performance, which only needs overpotentials of 34 and 50 mV to drive a current density of 10 mA cm−2in alkaline and acidic media, respectively, with excellent stability. Especially, in alkaline media, CoIr/MXene possesses 6 times higher HER mass activity (4.297 A mgIr−1) than commercial Pt/C catalysts (0.686 A mgPt−1) at the potential of 50 mV, indicating larger active site density and intrinsic activity for CoIr/MXene. This work expands the application of the molten salt assist etching strategy and provides new insight for the development of metal/MXene‐based catalysts.
Systems engineering barriers to legacy system evolution: Legacy system assessment
Authors: Terry Sian , Chandrasekar V. 
Published: October 2024

AbstractThis study evaluates the effectiveness of common engineering processes in conducting system assessments, with a focus on legacy system assessments, which are currently a barrier to legacy system evolution. These processes include reverse systems engineering (RSE), which remains in its infancy, and more established processes such as software and hardware reverse engineering. The study assesses these methods to better understand their ability to define systems of interest and meet the criteria set by the four horsemen of traditional systems engineering, as defined by Rebovich and White, and the International Council of Systems Engineering. Additionally, RE techniques are reviewed to ensure that a formal, systems‐level process—with detailed steps and diagrams—is documented and accessible to systems or reverse engineers. Lastly, this investigation elucidates the ability of each reverse engineering process to discover, recover, or reproduce information pertaining to the systems of interest that is missing, incomplete, or outdated in documentation relevant to the development or operations of that system. This information can be used to better understand the areas of RSE that still need to be developed and aid in the maturation of a repeatable process that is applicable to legacy systems. The results of this study are expected to contribute to the further development of the Enterprise Lifecycle Model proposed by Terry and Chandrasekar.
Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design
Authors: Bouhali Imane , Pasquariello Agnese , Mhenni Faida , Vitolo Ferdinando , Hehenberger Peter , Patalano Stanislao , Choley Jean‐Yves 
Published: October 2024

AbstractMechatronic systems become ever more complex because of their increasing number of interconnected safety critical components and sophistication. MBSE (Model‐based Systems Engineering) and MBSA (Model‐Based Safety Assessment) are the most commonly adopted approaches to deal with the design and safety analysis of mechatronic systems. Unfortunately, both approaches are normally adopted separately, especially in the earlier phases of system design, thus leading to a lack of communication between system engineers and the safety team. This work aims to fill that gap at a high level, that is, through process interaction. This paper proposes an enhanced V‐model for the design of safety‐critical mechatronic systems. It relates a system development process with specific safety assessment methods. Specifically, the proposed workflow details exchange flows between the RFLP (Requirements, Functional, Logical, Physical) method, the FHA (Functional Hazard Analysis), the FMEA (Failure Mode and Effects Analysis), the MBSA and simulation, and the FTA (Fault Tree Analysis). These analyses are complemented with multiphysics modeling and simulation to observe system behavior in functional and failure scenarios, with the aim of requirements verification. The design workflow has been applied to a winged Unmanned Aerial Vehicle to apply the parallel process and the necessary interaction of MBSE and MBSA approaches. The information flows between the individual activities proved effective for designing a safe system before the verification phase. The main benefit of the proposed workflow is providing both the design and safety team with some interaction points, thus avoiding a lack of safety‐critical analysis in the early phases of system design.
The characterization of serum proteomics and metabolomics across the cancer trajectory in chronic hepatitis B‐related liver diseases
Authors: Xiao Jin , Liu Hang , Yao Jun , Yang Shuang , Shen Fenglin , Bu KunPeng , Wang Zhenxin , Liu Fan , Xia Ningshao , Yuan Quan , Shu Hong , Xiong Yueting , Liu Xiaohui 
Published: October 2024

AbstractHepatocellular carcinoma (HCC) is a deadly cancer that emerges from a continuous progression of liver cells from normal to abnormal, often following infections by hepatitis B/C viruses (HBV/HCV), liver fibrosis, and liver cirrhosis (LC), ultimately culminating in cancer. However, there is currently limited systematic molecular analysis of biomarkers at different stages of HCC progression using multi‐omics approaches. We carried out an innovative pipeline by utilizing targeted proteomics and metabolomics to identify potential biomarkers for early detection of HCC in 316 participants, including healthy adults and patients diagnosed with HBV, HCV, LC, and HCC from three independent cohorts. We first established a detailed database of candidate biomarkers for HCC containing 3059 proteins and 103 metabolites, and identified pivotal candidates implicated in the progressive trajectory of liver cancers. Through our developed DeepPRM, scheduled multiple reaction monitoring (MRM)‐targeted approach, and machine learning‐based computational pipeline, we identified an eight‐biomolecular‐based combination with an accuracy rate of 91.43% for early diagnosis of HCC, and a 12‐biomolecular‐based combination with an accuracy rate of 80.00% for detecting changes in HBV–LC progression. These two biomarker combinations significantly improved accuracy compared to traditional tumor biomarkers. Our extensive analysis provides valuable proteomic and metabolomic data resources that will contribute to a deeper understanding of liver disease progression and enhance the identification of potential therapeutic targets.
Quantifying the Impact Propagation of Cyber Attacks Using Business Logic Modeling
Authors: Lazrag Marwan , Kiennert Christophe , Garcia-Alfaro Joaquin 
Published: October 2024

AbstractCyber-attacks affect the security properties of critical systems, such as confidentiality, integrity, and availability of crucial business activities. They also affect mission quality and performance. Existing risk assessment tools handling the problem still present some limitations, owing to the difficulty of describing the enterprise infrastructure, such as identifying assets, missions, and their dependencies. Furthermore, little research has been conducted to assess the impact propagation of external events on business entities.In this chapter, we survey existing methods aiming to solve the aforementioned limitations. We focus on two main families: financial and operational impact assessment. The latter aims to specifically assess the impact propagation of cyber-attacks. For instance, cyber-attacks targeting the infrastructure assets and perturbing the execution and performance of the company’s activities. It can also include the evaluation of the financial impact based on former financial assessment methodologies.We also present a concrete operational impact propagation assessment contribution. This contribution extends previous work by enhancing the definition associated to organizational activities that might be impacted by cyber-attacks. It relies on business impact analysis via business logic modeling. It also includes metrics to quantify (i) the impact propagation probability on the business entities, and (ii) critical time (i.e., the time during which the business entity is not be impacted).
Introduction
Authors: Hertel Thomas W. 
Published: October 2024

AbstractThis chapter introduces the rationale behind the development of the SIMPLE-G framework and the role it can play in the global sustainability debate. It is designed to document an open-source framework for multiscale analysis of land and water sustainability challenges. Given SIMPLE-G’s emphasis on simplicity and transparency, it is well suited to use in the classroom. By providing a minimodel module for SIMPLE-G, users can analyze outcomes at the level of individual grid cells as well as in a global context. This will help to guide model parameterization, calibration, and validation. The eight diverse applications offered in this book provide a starting point for others to modify and extend this framework to address a wide range of sustainability challenges facing the world today.
Equilibrium Conditions and General Assumptions for a Quantitative Geospatial Economic Model
Authors: Haqiqi Iman 
Published: October 2024

AbstractQuantitative understanding of the implications of growth in food demand and global changes requires a multisystem framework. Environmental and human system models can be linked via agricultural and food markets. This chapter shows how to construct a computable multiscale environmental economic model for projecting and analyzing the impacts of policies and changes. This analysis requires assumptions about (1) how demand and supply in each market are determined, (2) the relevant scales for each market, and (3) how markets are linked. The market-clearing conditions are based on economic theories at local, regional, and global scales. This chapter introduces the general conditions for constructing a gridded model based on quantitative frameworks widely employed in microeconomics, regional economics, international trade, and land use. To provide a comprehensive picture of how the model works, this chapter illustrates how the equilibrium in agricultural and food markets is determined and how the markets are linked to human and environmental system. The overall model structure shows how local land and water resources can be linked to regional agricultural production and global food consumption.
Konzeptioneller Bezugsrahmen
Authors: Massimiani Andrea 
Published: October 2024

ZusammenfassungBasierend auf den theoretischen Grundlagen im dritten Kapitel und der daraus abgeleiteten Forschungslücke in Abschnitt 4.2, verfolgt das fünfte Kapitel das Ziel, anhand des abgegrenzt dargestellten Untersuchungsgegenstandes einen für diese Arbeit passenden konzeptionellen Bezugsrahmen zu entwickeln.
Type-Based Verification of Connectivity Constraints in Lattice Surgery
Authors: Wakizaka Ryo , Suzuki Yasunari , Igarashi Atsushi 
Published: October 2024

AbstractFault-tolerant quantum computation using lattice surgery can be abstracted as operations on graphs, wherein each logical qubit corresponds to a vertex of the graph, and multi-qubit measurements are accomplished by connecting the vertices with paths between them. Operations attempting to connect vertices without a valid path will result in abnormal termination. As the permissible paths may evolve during execution, it is necessary to statically verify that the execution of a quantum program can be completed. This paper introduces a type-based method to statically verify that well-typed programs can be executed without encountering halts induced by surgery operations. Alongside, we present $$\mathcal {Q}_{LS}$$

Q

LS

, a first-order quantum programming language to formalize the execution model of surgery operations. Furthermore, we provide a type checking algorithm by reducing the type checking problem to the offline dynamic connectivity problem.
Constraining dark matter from strong phase transitions in a $$ \textrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$ model: implications for neutrino masses and muon g − 2
Authors: Choubey Sandhya , Khan Sarif , Merchand Marco , Vihonen Sampsa 
Published: October 2024

Abstract
In this paper, we study a non-minimal gauged $$ \textrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$
U

1

L
μ

−

L
τ

model, where we add two complex singlet scalars, three right-handed Majorana neutrinos (RHN), and a vector-like dark fermion to the Standard Model (SM), all non-trivially charged under the extra gauge symmetry. The model offers an easy resolution to the muon (g – 2) anomaly, which fixes the scale of spontaneous symmetry breaking. Furthermore, the two-zero minor structure in the RHN mass matrix provides successful predictions for neutrino oscillation parameters, including the Dirac phase. The extended scalar sector can easily induce first-order phase transitions. We identify all possible phase transition patterns in the three-dimensional field space. We quantify the associated gravitational waves from the sound wave source and demonstrate that the signatures can be observed in future space-based experiments. We find that strong first-order phase transitions require large values of scalar quartic couplings which constrain the scalar dark matter (DM) relic density to a maximum of 10−2 and 10−5 when we consider the DM direct detection bound. Nonetheless, the model successfully explains the DM relic density via contribution from the vector-like dark fermion. We show the allowed range of the model parameters that can address all the beyond SM issues targeted in this study.