bluuebunny/crossref_metadata_2025_split huggingface dataset:
A data‐driven distributed fault detection scheme based on subspace identification technique for dynamic systems
Authors: Cheng Chao , Wang Qiang , Nikitin Yury , Liu Chun , Zhou Yang , Chen Hongtian 
Published: December 2022

AbstractWith the aid of the subspace technique and the average consensus algorithm, the main objective of this article is to develop a data‐driven design of distributed fault detection for dynamic systems using the measurement in a complex sensor network. Specifically, the design process consists of two stages: distributed off‐line learning and distributed online fault detection. Among them, the distributed off‐line learning stage involves the average consensus algorithm and parameter identification by subspace technique. It is worth mentioning that, the distributed fault detection approach has the same performance as the centralized fault detection approach and avoids complex information exchange. In the end, a numerical simulation example and a case study of the three‐phase flow facility are illustrated to show that the proposed distributed approach can accomplish the fault detection task successfully.
Village morphology and the construction of place identity in the Aihui area along the Heilongjiang River, China
Authors: Wei Dong , Yani Yang , Yu Dong 
Published: December 2022

AbstractPlace identity is the emotional connection between people and a place. It is significant for local development and people's satisfaction and happiness in where they reside. The physical environment is one of the most important factors affecting people's emotions toward a place. In order to clarify the theoretical analytical framework of the process from village space morphology to place identity, this study takes the area of Aihui along the Heilongjiang River, China, as a case study. The research was conducted considering two aspects: First, we analyzed the space morphology of the villages in the Aihui district and interpreted their locality. On this basis, we conducted a survey of villagers’ subjective perceptions of the village space and their place identity through in‐depth interviews. From the collected interview texts, we extracted, verified, and analyzed the role of morphological constituents in the construction of place identity. Second, a comprehensive framework was established. The features of space morphology are the projections of locality in physical space. People use morphological constituents to construct an image of the village and scenes of local life. Morphological constituents with local characteristics can help enhance people's place identity.
A novel robust estimation for high‐dimensional precision matrices
Authors: Wang Shaoxin , Xie Chaoping , Kang Xiaoning 
Published: December 2022

AbstractIn this paper we propose a new robust estimation of precision matrices for high‐dimensional data when the number of variables is larger than the sample size. Different from the existing methods in literature, the proposed model combines the technique of modified Cholesky decomposition (MCD) with the robust generalized M‐estimators. The MCD reparameterizes a precision matrix and transforms its estimation into solving a series of linear regressions, in which the commonly used robust techniques can be conveniently incorporated. Additionally, the proposed method adopts the model averaging idea to address the ordering issue in the MCD approach, resulting in an accurate estimation for precision matrices. Simulations and real data analysis are conducted to illustrate the merits of the proposed estimator.
Fabrication of Poly(3, 4‐ethylenedioxythiophene)/O−S Co‐Doped Porous Carbon Composites as Electrode Materials for Supercapacitors
Authors: Qin Jie , Li Chunmei , Lu Wei , Zheng Hong 
Published: December 2022

AbstractA facile approach to obtain electrode materials with excellent electrochemical properties is essential for the development of supercapacitors. We synthesized coral‐like Poly(3, 4‐ethylenedioxythiophene)/O−S‐doped porous carbon composites (PEDOT/S‐PCM) to be used as electrode materials for supercapacitors. S‐PCM was obtainted by the carbonization and activation of Poly(3, 4‐ethylenedioxythiophene)/reduced graphene oxide (PEDOT/rGO), and its structure was stabilized by doping the ablated Poly(3, 4‐ethylenedioxythiophene) (PEDOT) into the lamellae of graphene. The dual doping of sulfur and oxygen can prevent the graphene sheets from collapsing and provide an abundance of active sites. Under the optimized conditions, the PEDOT/S‐PCM composite shows a high specific capacitance of 278 F g−1 at a current density of 1 A g−1 and a significant capacitance retention of 91 % after 1000 cycles at a current density of 10 A g−1. PEDOT/S‐PCM could be a promising candidate as an electrode material for supercapacitor due to their good morphology and excellent electrochemical performance.
Diverse knowledge exploration and diffusion in MNCs
Authors: Berry Heather 
Published: December 2022

AbstractResearch SummaryThis article examines the influence that intra‐firm manufacturing linkages have on knowledge exploration outcomes in foreign subsidiaries. Although it is common to focus on the importance of keeping exploratory units separate from other firm operations to encourage a more diverse range of solutions, I explore the role that strong manufacturing outflows play in encouraging both the search for diverse knowledge and the diffusion of that knowledge across multinational corporation (MNC) operations. Empirical results from a comprehensive panel of US MNCs merged with the Derwent worldwide patent data reveal that foreign exploratory units with strong intra‐firm manufacturing outflows are more likely to include new‐to‐the‐MNC technology domains in their innovations and that these diverse innovations are more likely to diffuse out of units that have strong intra‐firm manufacturing outflows.Managerial SummaryAlthough foreign exploratory units can provide MNCs with opportunities to tap into diverse knowledge clusters to enhance the competitiveness of a firm, many studies report firm biases against new and unfamiliar knowledge that has been generated in foreign operations. This article explores the role that manufacturing linkages play in providing visible signals of local operation competencies to the rest of an MNC, helping to overcome biases against new and unproven technology domains and enabling foreign exploratory units to pursue diverse, local knowledge inputs and specialization for the MNC. The empirical results confirm that foreign exploratory units that manufacture inputs and products for other MNC operations are more likely to use new‐to‐the‐MNC technology domains in their innovations than foreign exploratory units without such linkages.
Metal‐Organic Frameworks for Greenhouse Gas Applications
Authors: Dong Anrui , Chen Dandan , Li Qipeng , Qian Jinjie 
Published: December 2022

AbstractUsing petrol to supply energy for a car or burning coal to heat a building generates plenty of greenhouse gas (GHG) emissions, including carbon dioxide (CO2), water vapor (H2O), methane (CH4), nitrous oxide (N2O), ozone (O3), fluorinated gases. These up‐and‐coming metal‐organic frameworks (MOFs) are structurally endowed with rigid inorganic nodes and versatile organic linkers, which have been extensively used in the GHG‐related applications to improve the lives and protect the environment. Porous MOF materials and their derivatives have been demonstrated to be competitive and promising candidates for GHG separation, storage and conversions as they shows facile preparation, large porosity, adjustable nanostructure, abundant topology, and tunable physicochemical property. Enormous progress has been made in GHG storage and separation intrinsically stemmed from the different interaction between guest molecule and host framework from MOF itself in the recent five years. Meanwhile, the use of porous MOF materials to transform GHG and the influence of external conditions on the adsorption performance of MOFs for GHG are also enclosed. In this review, it is also highlighted that the existing challenges and future directions are discussed and envisioned in the rational design, facile synthesis and comprehensive utilization of MOFs and their derivatives for practical applications.
Inherent Capability of Self‐Assembling Nanostructures in Specific Proteasome Activation for Cancer Cell Pyroptosis
Authors: Luo Qian‐Wei , Yao Lu , Li Ling , Yang Zhuo , Zhao Mei‐Mei , Zheng Yong‐Zhe , Zhuo Fang‐Fang , Liu Ting‐Ting , Zhang Xiao‐Wen , Liu Dan , Tu Peng‐Fei , Zeng Ke‐Wu 
Published: December 2022

AbstractUnderstanding the direct interaction of nanostructures per se with biological systems is important for biomedical applications. However, whether nanostructures regulate biological systems by targeting specific cellular proteins remains largely unknown. In the present work, self‐assembling nanomicelles are constructed using small‐molecule oleanolic acid (OA) as a molecular template. Unexpectedly, without modifications by functional ligands, OA nanomicelles significantly activate cellular proteasome function by directly binding to 20S proteasome subunit alpha 6 (PSMA6). Mechanism study reveals that OA nanomicelles interact with PSMA6 to dynamically modulate its N‐terminal domain conformation change, thereby controlling the entry of proteins into 20S proteasome. Subsequently, OA nanomicelles accelerate the degradation of several crucial proteins, thus potently driving cancer cell pyroptosis. For translational medicine, OA nanomicelles exhibit a significant anticancer potential in tumor‐bearing mouse models and stimulate immune cell infiltration. Collectively, this proof‐of‐concept study advances the mechanical understanding of nanostructure‐guided biological effects via their inherent capacity to activate proteasome.
Defect Healing in Graphene via Rapid Thermal Annealing with Polymeric “Nanobandage”
Authors: Senger Claire , Fan Xiao , Pagaduan James Nicolas , Zhang Xiaoyu , Ping Jinglei , Katsumata Reika 
Published: December 2022

AbstractOvercoming throughput challenges in current graphene defect healing processes, such as conventional thermal annealing, is crucial for realizing post‐silicon device fabrication. Herein, a new time‐ and energy‐efficient method for defect healing in graphene is reported, utilizing polymer‐assisted rapid thermal annealing (RTA). In this method, a nitrogen‐rich, polymeric “nanobandage” is coated directly onto graphene and processed via RTA at 800 °C for 15 s. During this process, the polymer matrix is cleanly degraded, while nitrogen released from the nanobandage can diffuse into graphene, forming nitrogen‐doped healed graphene. To study the influence of pre‐existing defects on graphene healing, lattice defects are purposefully introduced via electron beam irradiation and investigated by Raman microscopy. X‐ray photoelectron spectroscopy reveals successful healing of graphene, observing a maximum doping level of 3 atomic nitrogen % in nanobandage‐treated samples from a baseline of 0–1 atomic % in non‐nanobandage treated samples. Electrical transport measurements further indicate that the nanobandage treatment recovers the conductivity of scanning electron microscope‐treated defective graphene at ≈85%. The reported polymer‐assisted RTA defect healing method shows promise for healing other 2D materials with other dopants by simply changing the chemistry of the polymeric nanobandage.
Polyurethane‐polypyrrole hybrid structural color films for dual‐signal mechanics sensing
Authors: Shao Changmin , Yu Yunru , Fan Qihui , Wang Xiaochen , Ye Fangfu 
Published: December 2022

AbstractThe monitoring of mechanical indexes involved in body movement has attracted immense interest in the diagnosis of neurodegenerative diseases. Here, we present a hybrid flexible conductive structural color (SC) film with the capability of dual‐signal mechanics screening. The film is constructed by oxidatively polymerizing pyrrole on the surface of an inverse opal polyurethane (IPU) membrane, which can be utilized to measure the mechanical indexes through resistance change. Owing to the inverse opal structure, the film shows visual structural color change when stretched and released according to the body movement. Additionally, the highly uniform ordered porous structure endows the conductive film with a lower coefficient of variance on relative resistance change. Benefiting from these features, we have demonstrated that such a flexible conductive SC film could monitor Parkinson's disease (PD) by detecting mechanical indexes simultaneously via dual signals. These features indicate the great value of the stretchable conductive SC films in mechanics sensing applications.
Low area and high throughput implementation of advanced encryption standard hardware accelerator on FPGA using Mux‐Demux pair
Authors: Renugadevi N. , Julakanti Stheya , Vemula Sai Charan , Bhatnagar Somya , Thangallapally Shirisha 
Published: December 2022

AbstractNow‐a‐days advanced cryptographic algorithms are needed in order to improve data security and confidentiality. One such algorithm used prominently is advanced encryption standard (AES) algorithm. AES is a complex algorithm with multiple rounds of processing data and occupies more space or area when implemented on hardware. Since each sub‐step of computation has a similar structure, the proposed method employs the novel idea of using the same hardware to implement the AES functionality. Hence the number of logical units occupied are leveraged. The proposed scheme, Mux‐Demux pair method (MDP), uses a mux‐demux structure. It is implemented on Virtex‐7 and ZynQ7000 FPGAs and the code is written in Verilog HDL language in the Vivado software. The proposed work when simulated on Virtex‐7 occupies an area of 1932 slices, giving an optimized throughput of 10.167 Gbps while the work simulated on ZynQ7000 occupies an area of 3253 slices, resulting in a throughput of 23.858 Gbps.
Secure quantum computing for healthcare sector: A short analysis
Authors: Pulipeti Srikanth , Kumar Adarsh 
Published: December 2022

AbstractQuantum computing research might lead to “quantum leaps,” and it could have unanticipated repercussions in the medical field. This technique has the potential to be used in a broad range of contexts, some of which include the development of novel drugs, the individualization of medical treatments, and the speeding of deoxyribonucleic acid sequencing. This work has assembled a list of the numerous methodologies presently employed in quantum medicine and other disciplines pertaining to healthcare. This work has created a list of the most critical concerns that need to be addressed before the broad use of quantum computing can be realized. In addition, this work investigates in detail the ways in which potential future applications of quantum computing might compromise the safety of healthcare delivery systems from the perspective of the medical industry and the patient‐centric healthcare system. The primary objective of this investigation into quantum cryptography is to locate any potential flaws in the cryptographic protocols and strategies that have only very recently been the focus of scrutiny from academic research community members.
Jamming power: Youth agency and community‐driven science in a critical technology learning program
Authors: Vakil Sepehr , Reith Alisa , Melo Natalie Araujo 
Published: December 2022

AbstractIn dialogue with science education and learning sciences research, in this article we develop a disciplinary‐specific view on youth and community agency for community‐based technology education. Cultivating agency is a central principle in our design and empirical study of the Young People's Race, Power, and Technology Program (YPRPT), a program designed to engage youth in critical inquiry about the technologies impacting their local communities. In this article, drawing from our multiyear partnership with a community‐based youth organization, we examine how agency was supported and constrained as a function of the practices we engaged in as a research team committed to participatory and justice‐centered education. Our findings illustrate ways that the emergence and enactment of agency, at both individual and community levels, works to interrupt, subvert, and creatively “jam” systems of power. We argue that cultivating agency in community‐driven science and technology learning requires an honest reckoning with the deeply entrenched racial and economic oppression in the United States. We contend that it is equally essential to commit to learning from, co‐designing with, and working in solidarity alongside the youth and communities that are most impacted by technologies that mediate our experiences—toward unveiling, resisting, and reimagining their powerful roles in our collective lives.
The use of Big Data to mitigate waste in agri‐food supply chains
Authors: Ouro‐Salim Omar , Guarnieri Patricia , Leitão Fabrício Oliveira 
Published: December 2022

AbstractDue to the increase in food waste worldwide, food supply chains (FSCs) have started to adopt smart technologies and assets aiming to reduce it and several inefficiencies. In light of this, the objective of this research was to verify the state of the art in information technology, more specifically the use of Big Data and its role in reducing food waste. This is descriptive research with a qualitative approach, whose technical procedure was the systematic literature review (SLR), with a time cut off the last 10 years, 2010 to 2020, which analyzed the scientific databases Scopus, Sage, and Taylor & Francis. The results were analyzed using the precepts of the thematic categorical content analysis and indicated low use of Big Data. Still, few published articles address the recycling and valorization of food waste to minimize its waste. Finally, it is presented the existing gaps in the literature and recommendations for future studies.
Symmetry resolved entanglement of excited states in quantum field theory. Part II. Numerics, interacting theories and higher dimensions
Authors: Capizzi Luca , De Fazio Cecilia , Mazzoni Michele , Santamaría-Sanz Lucía , Castro-Alvaredo Olalla A. 
Published: December 2022

Abstract
In a recent paper we studied the entanglement content of zero-density excited states in complex free quantum field theories, focusing on the symmetry resolved entanglement entropy (SREE). By zero-density states we mean states consisting of a fixed, finite number of excitations above the ground state in an infinite-volume system. The SREE is defined for theories that possess an internal symmetry and provides a measure of the contribution to the total entanglement of each symmetry sector. In our work, we showed that the ratio of Fourier-transforms of the SREEs (i.e. the ratio of charged moments) takes a very simple and universal form for these states, which depends only on the number, statistics and symmetry charge of the excitations as well as the relative size of the entanglement region with respect to the whole system’s size. In this paper we provide numerical evidence for our formulae by computing functions of the charged moments in two free lattice theories: a 1D Fermi gas and a complex harmonic chain. We also extend our results in two directions: by showing that they apply also to excited states of interacting theories (i.e. magnon states) and by developing a higher dimensional generalisation of the branch point twist field picture, leading to results in (interacting) higher-dimensional models.
Prospects for $$ {B}_{(s)}^0 $$ → π0π0 and $$ {B}_{(s)}^0 $$ → ηη modes and corresponding CP asymmetries at Tera-Z
Authors: Wang Yuexin , Descotes-Genon Sébastien , Deschamps Olivier , Li Lingfeng , Chen Shanzhen , Zhu Yongfeng , Ruan Manqi 
Published: December 2022

Abstract
The physics potential of measuring $$ {B}_{(s)}^0 $$

B

s

0

→ π0π0 and $$ {B}_{(s)}^0 $$

B

s

0

→ ηη decays via four-photon final states at Tera-Z phase of CEPC or FCC-ee is investigated in this paper. We propose an electromagnetic calorimeter (ECAL) with both high energy resolution and excellent separation power to efficiently reconstruct π0 and η from hadronic final states with high photon multiplicity. The resulting B-meson mass resolution is approximately 30 MeV, allowing 3 σ separation between B0 and $$ {B}_s^0 $$

B
s
0

. With the assistance of the b-jet tagging, the relative sensitivities to B0→ π0π0, $$ {B}_s^0 $$

B
s
0

→ π0π0, B0→ ηη, and $$ {B}_s^0 $$

B
s
0

→ ηη signal strengths at Tera-Z are projected as 0.45%, 4.5%, 18%, and 0.95%, respectively. Their dependence on various detector performances is also discussed. In addition, B0→ π0π0 and its two isospin-related modes are paid special attention due to their roles in the determination of the CKM angle α (ϕ2). The anticipated precisions of their branching-ratio and CP-asymmetry measurements at Tera-Z are evaluated. We show that the measurement of the time-integrated B0→ π0π0CP asymmetry at Tera-Z is complementary to B-factory ones. The precision on α combining Z- and B-factory results reaches 0.4°, lower than the systematic uncertainties attached to isospin breaking.
Plate capacitor problem as a benchmark case for verifying the finite element implementation
Authors: Liu Yiming , Abali Bilen Emek , Yang Hua , Müller Wolfgang H. 
Published: December 2022

AbstractIn this work, parallel plate capacitors are numerically simulated by solving weak forms within the framework of the finite element method. Two different domains are studied. We study the infinite parallel plate capacitor problem and verify the implementation by deriving analytical solutions with a single layer and multiple layers between two plates. Furthermore, we study the finite parallel plate capacitor problem and verify it by Love’s potential equation and Xiang’s capacitance equation. Moreover, the fringing effect is considered and extended to problems with multiple dielectric layers, such a solution is not possible by means of the existing analytical solutions. Besides, we realize the possibility of choosing different boundary conditions (electric potential boundary conditions and charge density boundary conditions) by changing the weak form. Finally, a transient solution that includes dielectric loss and calculates the quality factor of a capacitor is presented, which may be used in capacitor design. Convergence and consistency of results are demonstrated by comparing the results between analytical and numerical solutions and also the results from different boundary conditions.