bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acceleration sensing based on the bifurcation dynamics of parametrically excited mode-localized resonators
Authors: Zhao Jian , Tang Yinghai , Kacem Najib , Sun Rongjian , Dong Zeyuan , Lyu Ming , Liu Pengbo 
Published: December 2023

Abstract
A parametrically excited mode-localized accelerometer is designed using the bifurcation phenomenon to improve the robustness of the fluctuation of the driving voltage and damping while maintaining high sensitivity. A dynamic multi-physics model was established while considering both mechanical and electrostatic nonlinearities. The equation was solved by method of multiple scales and verified by harmonic balanced method coupled with the asymptotic numerical method. Two types of bifurcation exist in amplitude frequency response, namely Saddle-Node bifurcation and Supercritical Hopf bifurcation. By introducing Saddle-Node bifurcation, the response amplitude and measurement range can be improved by 100% and 1000%, respectively, while the sensitivity of the amplitude ratio is about 2 orders of magnitude higher than that based on the frequency ratio. At the Supercritical Hopf bifurcation point, a small acceleration will change the topological structure from Supercritical Hopf to Saddle-Node bifurcation. The variation in the amplitude ratio of the Supercritical Hopf point with acceleration is similar to the sign function, which leads to an extremely high sensitivity of 10000%/g in a dynamic range of ±0.001 g. Moreover, the Supercritical Hopf bifurcation point is not affected by the amplitude of the excitation voltage and damping coefficient, which provides a new method for improving the sensing robustness. Ethical Compliance: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Conflict of Interest declaration: The authors declare that they have NO affiliations with or involvement in any organization or entity with any financial interest in the subject matter or materials discussed in this manuscript.
Thermoelectric performance of 1T-ZrS2 bilayer using stacking engineering
Authors: Anisha  , Kumar Ramesh , Srivastava Sunita , Kumar Tankeshwar 
Published: December 2023

Abstract
Stacking engineering have played the very important role in tuning the structural, electronic and thermoelectric properties of 1 T ZrS2 bilayer. All these calculations are performed by using first principles calculations in conjunction with the Boltzmann transport theory. The structural properties of bilayer with all possible stackings i.e., AA1, AA2, AA3, AB1, AB2 and AB3 along with their respective interlayer distance (d) are calculated. Electronic properties of these stacking bilayers have showed the indirect band gap in all the stacking pattern. The dynamical stability of AA1, AA2 and AA3 stackings are more in comparison to other stacking bilayers. The lattice thermal conductivity with values 0.57 W mK−1, 0.47 W mK−1 and 1.45 W/mK for stackings AA1, AA2 and AA3, are obtained, respectively. The obtained values of ZT are 0.86, 0.83 and 0.82 for AA1, AA2 and AA3 stackings, respectively, at room temperature, for n-type doping. The present study has provided the effective approach for selecting the good stacking pattern of 1 T ZrS2 bilayer for various applications with excellent thermoelectric performance.
Research on pipeline inspection gauges localization based on residual denoising autoencoder
Authors: Guo Xiaoting , Song Huadong , Zeng Yanli , Zhang Hongxian , Hu Wenguang , Zhu Haibo 
Published: December 2023

Abstract
To improve pipeline transportation efficiency, long-distance pipelines need to be cleaned regularly. Pipeline inspection gauges (PIGs) are widely used in pigging operations. The traditional PIG localization method generally has a large error and cannot achieve continuous tracking. To solve the problem of PIG real-time tracking and localization, this paper proposes a method of PIG localization for oil pipelines based on a denoising autoencoder(DAE). The attention deconvolution residual block (ADR) is introduced in the decoder part of the DAE, so that this model can learn and use global information to selectively emphasize key features, suppress useless features, and improve the noise removal performance of the model. After denoising, the negative pressure wave(NPW) signal is normalized, the time delay is extracted, and the PIG is located using the NPW localization formula. Experiments show that this method can effectively achieve real-time PIG localization. Compared with the EMD and DAE positioning methods, the relative positioning accuracy is increased by 3.5 times and 8.4 times, respectively.
Effect of out-of-plane dimension on simplified geometric models in stress analysis
Authors: Saeed Hasan Aftab , Awan Yasser Riaz , Waiz Sha , Khan Rehan Ahmed 
Published: December 2023

Abstract
Without exception, every physical object is three-dimensional. However, in many stress analysis situations the analyst is justified in using simplified two-dimensional idealizations of plane stress and plane strain, reducing the complexity of the problem. By obviating the need to mesh in the third dimension, this advantage also extends to numerical studies, helping economize significantly on time and computational power requirements. In plane stress idealization the out-of-plane stresses are zero, whereas in plane strain the out-of-plane strains are zero. These idealizations have variously been linked with the out-of-plane dimension, as well as the end conditions of the object under consideration. However, the exact correlation of the out-of-plane dimension with these idealizations remains ambiguous. Unlike the case of plane stress, there is much disagreement found in literature regarding the necessary conditions for the realization of plane strain, which needs to be addressed. In this article, finite element analysis was employed to study the effect of various out-of-plane dimensions and end constraints. The results show that there is no correlation between the out-of-plane dimension and plane strain, which depends only on the end constraints. However, the out-of-plane dimension does result in the transition from plane stress to generalized plane strain.
Emerging multimodal memristors for biorealistic neuromorphic applications
Authors: Shan Xuanyu , Lin Ya , Wang Zhongqiang , Zhao Xiaoning , Tao Ye , Xu Haiyang , Liu Yichun 
Published: December 2023

Abstract
The integration of sensory information from different modalities, such as touch and vision, is essential for organisms to perform behavioral functions such as decision-making, learning, and memory. Artificial implementation of human multi-sensory perception using electronic supports is of great significance for achieving efficient human–machine interaction. Thanks to their structural and functional similarity with biological synapses, memristors are emerging as promising nanodevices for developing artificial neuromorphic perception. Memristive devices can sense multidimensional signals including light, pressure, and sound. Their in-sensor computing architecture represents an ideal platform for efficient multimodal perception. We review recent progress in multimodal memristive technology and its application to neuromorphic perception of complex stimuli carrying visual, olfactory, auditory, and tactile information. At the device level, the operation model and undergoing mechanism have also been introduced. Finally, we discuss the challenges and prospects associated with this rapidly progressing field of research.
Use of matrix-assisted laser desorption ionization time of flight (MALDI-TOF) to detect antibiotic resistance in bacteria: A scoping review
Authors: Viboud Gloria , Asaro Holly , Huang Michael Bailou 
Published: December 2023

Abstract

Objectives
Matrix-assisted laser desorption ionization time of flight (MALDI-TOF) has revolutionized clinical microbiology laboratories, enabling the identification of microorganisms in minutes. Although this advancement has significantly enhanced patient care by providing early diagnosis, the use of MALDI-TOF for routine detection of antimicrobial resistance (AMR) remains an ongoing area of research. The purpose of this scoping review was to identify and summarize the existing literature on MALDI-TOF–based methodologies for detecting AMR.

Methods
The PubMed, Embase, and Cumulative Index to Nursing and Allied Health Literature databases were searched for articles published up to July 2023. Publications were carefully screened, and inclusion was based on their relevance to the topic and detailed explanations of the methodologies employed.

Results
We reviewed 49 articles and identified various MALDI-TOF–based approaches for detecting AMR that we grouped in 2 main categories: (1) bacterial growth detection following a brief incubation with antibiotics and (2) identification of specific mass spectral profiles associated with drug resistance. Recently, the use of machine learning algorithms has been explored to detect characteristic patterns associated with AMR. Thorough evaluation of each study’s procedures was conducted to determine their potential for implementation in clinical laboratories.

Conclusions
MALDI-TOF shows promise as a tool for AMR detection, but its readiness for wider clinical adoption relies on ongoing research, development of algorithms and software for automated interpretation of mass spectra, and validation efforts. Its role in routine clinical practice may evolve as technology and knowledge progress.
KGDiff: towards explainable target-aware molecule generation with knowledge guidance
Authors: Qian Hao , Huang Wenjing , Tu Shikui , Xu Lei 
Published: December 2023

Abstract
Designing 3D molecules with high binding affinity for specific protein targets is crucial in drug design. One challenge is that the atomic interaction between molecules and proteins in 3D space has to be taken into account. However, the existing target-aware methods solely model the joint distribution between the molecules and proteins, disregarding the binding affinities between them, which leads to limited performance. In this paper, we propose an explainable diffusion model to generate molecules that can be bound to a given protein target with high affinity. Our method explicitly incorporates the chemical knowledge of protein–ligand binding affinity into the diffusion model, and uses the knowledge to guide the denoising process towards the direction of high binding affinity. Specifically, an SE(3)-invariant expert network is developed to fit the Vina scoring functions and jointly trained with the denoising network, while the domain knowledge is distilled and conveyed from Vina functions to the expert network. An effective guidance is proposed on both continuous atom coordinates and discrete atom types by taking advantages of the gradient of the expert network. Experiments on the benchmark CrossDocked2020 demonstrate the superiority of our method. Additionally, an atom-level explanation of the generated molecules is provided, and the connections with the domain knowledge are established.
Privacy-Preserving Confidential Reporting System With Designated Reporters
Authors: Han Jinguang , Susilo Willy , Chen Liquan , Lai Jianchang , Wu Ge 
Published: December 2023

Abstract
A confidential reporting system (CRS) allows reporters to report concerns or problems in confidence without the fear of blame or reprisals. Nevertheless, privacy has been the primary concern of reporters. In this paper, we propose a privacy-preserving confidential reporting system with designated reporters (PPCRS-DR) to protect the privacy of reporters and the confidentiality of reports. Our PPCRS-DR provides the following interesting features: (1) for an event, an auditor can designate a reporter to report; (2) an auditor can neither see the report nor know the reporter’s identity from an encrypted report if the reporter is not the designated one; (3) when an auditor is unavailable, he/she can temporarily designate a delegatee to collect and review reports on behalf of him/her. We formalize both the definition and security model of our PPCRS-DR, and propose a concrete construction. Furthermore, the security of the proposed PPCRS-DR is formally proven. The implementation shows that it is efficient. The novelty is to implement flexible decryption delegation of CRSs and protect reporters’ privacy.
Proinflammatory cytokines driving cardiotoxicity in COVID-19
Authors: Colzani Maria , Bargehr Johannes , Mescia Federica , Williams Eleanor C , Knight-Schrijver Vincent , Lee Jonathan , Summers Charlotte , Mohorianu Irina , Smith Kenneth G C , Lyons Paul A , Sinha Sanjay 
Published: December 2023

Abstract

Aims
Cardiac involvement is common in patients hospitalized with COVID-19 and correlates with an adverse disease trajectory. While cardiac injury has been attributed to direct viral cytotoxicity, serum-induced cardiotoxicity secondary to serological hyperinflammation constitutes a potentially amenable mechanism that remains largely unexplored.

Methods and results
To investigate serological drivers of cardiotoxicity in COVID-19 we have established a robust bioassay that assessed the effects of serum from COVID-19 confirmed patients on human embryonic stem cell (hESC)-derived cardiomyocytes. We demonstrate that serum from COVID-19 positive patients significantly reduced cardiomyocyte viability independent of viral transduction, an effect that was also seen in non-COVID-19 acute respiratory distress syndrome (ARDS). Serum from patients with greater disease severity led to worse cardiomyocyte viability and this significantly correlated with levels of key inflammatory cytokines, including IL-6, TNF-α, IL1-β, IL-10, CRP, and neutrophil to lymphocyte ratio with a specific reduction of CD4+ and CD8+ cells. Combinatorial blockade of IL-6 and TNF-α partly rescued the phenotype and preserved cardiomyocyte viability and function. Bulk RNA sequencing of serum-treated cardiomyocytes elucidated specific pathways involved in the COVID-19 response impacting cardiomyocyte viability, structure, and function. The observed effects of serum-induced cytotoxicity were cell-type selective as serum exposure did not adversely affect microvascular endothelial cell viability but resulted in endothelial activation and a procoagulant state.

Conclusion
These results provide direct evidence that inflammatory cytokines are at least in part responsible for the cardiovascular damage seen in COVID-19 and characterise the downstream activated pathways in human cardiomyocytes. The serum signature of patients with severe disease indicates possible targets for therapeutic intervention.
Rosalyn Higgins on International Organizations and International Law: The Value and Limits of a Policy-Oriented Approach
Authors: Daugirdas Kristina 
Published: December 2023

Abstract
Taking an approach to international law that embraced key features of the New Haven School, Rosalyn Higgins has made several important contributions to the law of international organizations. In 1963, at a time when no theory had addressed the work of the United Nations’ (UN) political organs, Higgins showed how General Assembly resolutions and other decisions contribute to the development of customary international law. She also demonstrated that, separate and apart from UN member states, the UN Secretariat was contributing to the development of customary international law regarding treaties. Later, as counsel for the International Tin Council and later rapporteur for the Institut de Droit International, Higgins put on the global agenda the issue of the accountability of international organizations for harm to third parties, highlighting gaps in existing law and competing policy concerns that precluded easy solutions. Higgins made two contributions in marking the path forward for theorizing about international organizations, one substantive and the other methodological. She highlighted the importance of considering international organizations in relation to the full range of actors with whom they interact, including private parties. As a methodological matter, Higgins demonstrated the value of an inductive approach where legal claims are grounded in close, detailed and careful observations of how international organizations actually operate.
Using self-reported health as a social determinants of health outcome: a scoping review of reviews
Authors: Wind Keiwan , Poland Blake , HakemZadeh Farimah , Jackson Suzanne , Tomlinson George , Jadad Alejandro 
Published: December 2023

Abstract
Reducing disease prevalence rather than promoting health has long been the objective of significant population health initiatives, such as the social determinants of health (SDH) framework. However, empirical evidence suggests that people with diagnosed diseases often answer the self-reported health (SRH) question positively. In pursuit of a better proxy to understand, measure and improve health, this scoping review of reviews examines the potential of SRH to be used as an outcome of interest in population health policies. Following PRISMA-ScR guidelines, it synthesizes findings from 77 review papers (published until 11 May 2022) and reports a robust association between SDH and SRH. It also investigates inconsistencies within and between reviews to reveal how variation in population health can be explained by studying the impact of contextual factors, such as cultural, social, economic and political elements, on structural determinants such as socioeconomic situation, gender and ethnicity. These insights provide informed hypotheses for deeper explorations of the role of SDH in improving SRH. The review detects several gaps in the literature. Notably, more evidence syntheses are required, in general, on the pathway from contextual elements to population SRH and, in particular, on the social determinants of adolescents’ SRH. This study reports a disease-oriented mindset in collecting, analysing and reporting SRH across the included reviews. Future studies should utilize the capability of SRH in interconnecting social, psychological and biological dimensions of health to actualize its full potential as a central public health measure.
Validation of the Modified Weight Bias Internalization Scale (WBIS-M) among First-Generation Asian Immigrants
Authors: Adams Vashti 
Published: December 2023

Abstract
Internalized weight bias (i.e., the application of negative weight-based stereotypes to one’s self-evaluation) is associated with adverse physical and mental health outcomes. The 10-item version of the Modified Weight Bias Internalization Scale (WBIS-M) is one of the most commonly used measures to assess internalized weight bias. However, studies examining the psychometric properties of the WBIS-M are limited in racially minoritized U.S.-based populations. The current study sought to examine the factor structure of the 10-item version of the WBIS-M in a sample of first-generation Asian immigrants, as both native and foreign-born Asian populations have consistently demonstrated higher rates of weight-related concerns relative to other racially minoritized groups. Confirmatory factor analysis was used to assess the factor structure, and a multiple indicator multiple cause modeling approach was used to assess associations between internalized weight bias and sociodemographic predictors. Results confirm the unidimensionality of the WBIS-M and provide preliminary support for a nine-item version. Identifying as a woman (p = .027) and perceiving oneself as overweight (p &lt; .001) were significantly associated with greater internalized weight bias. When working with Asian and Asian American clients, mental health service providers should be aware of potential weight-related concerns and may consider using the WBIS-M to assess for internalized weight bias.
Influenza Vaccine Effectiveness Against Influenza A–Associated Emergency Department, Urgent Care, and Hospitalization Encounters Among US Adults, 2022–2023
Authors: Tenforde Mark W , Weber Zachary A , Yang Duck-Hye , DeSilva Malini B , Dascomb Kristin , Irving Stephanie A , Naleway Allison L , Gaglani Manjusha , Fireman Bruce , Lewis Ned , Zerbo Ousseny , Goddard Kristin , Timbol Julius , Hansen John R , Grisel Nancy , Arndorfer Julie , McEvoy Charlene E , Essien Inih J , Rao Suchitra , Grannis Shaun J , Kharbanda Anupam B , Natarajan Karthik , Ong Toan C , Embi Peter J , Ball Sarah W , Dunne Margaret M , Kirshner Lindsey , Wiegand Ryan E , Dickerson Monica , Patel Palak , Ray Caitlin , Flannery Brendan , Garg Shikha , Adams Katherine , Klein Nicola P 
Published: December 2023

Abstract

Background
The 2022–2023 United States influenza season had unusually early influenza activity with high hospitalization rates. Vaccine-matched A(H3N2) viruses predominated, with lower levels of A(H1N1)pdm09 activity also observed.

Methods
Using the test-negative design, we evaluated influenza vaccine effectiveness (VE) during the 2022–2023 season against influenza A–associated emergency department/urgent care (ED/UC) visits and hospitalizations from October 2022 to March 2023 among adults (aged ≥18 years) with acute respiratory illness (ARI). VE was estimated by comparing odds of seasonal influenza vaccination among case-patients (influenza A test positive by molecular assay) and controls (influenza test negative), applying inverse-propensity-to-be-vaccinated weights.

Results
The analysis included 85 389 ED/UC ARI encounters (17.0% influenza A positive; 37.8% vaccinated overall) and 19 751 hospitalizations (9.5% influenza A positive; 52.8% vaccinated overall). VE against influenza A–associated ED/UC encounters was 44% (95% confidence interval [CI], 40%–47%) overall and 45% and 41% among adults aged 18–64 and ≥65 years, respectively. VE against influenza A–associated hospitalizations was 35% (95% CI, 27%–43%) overall and 23% and 41% among adults aged 18–64 and ≥65 years, respectively.

Conclusions
VE was moderate during the 2022–2023 influenza season, a season characterized with increased burden of influenza and co-circulation with other respiratory viruses. Vaccination is likely to substantially reduce morbidity, mortality, and strain on healthcare resources.
Candidate molecules as alternative nitric oxide donors with better antibacterial property against Escherichia coli and Staphylococcus aureus
Authors: Guo Jingjing , Tian Xiaojing , Chen Sihong , Ma Chenwei , Bai Lei , Zhang Yafei , Yang Ning , Sun Mengjiao , Wang Wenhang 
Published: December 2023

Abstract

Aims
Four nitric oxide (NO) donors, S-nitrosoglutathione (GSNO), S-nitrosocysteine (CySNO), S-nitroso-N-acetylcysteine (SNAC), and 2-(2-S-nitroso propionamide) acetic acid (GAS) were prepared and their physicochemical characteristics were analyzed. Besides, the antibacterial properties of NO donors were investigated against Escherichia coli and Staphylococcus aureus.

Methods and results
UV–visible absorption spectrum and Fourier transform infrared spectrum verified the successful preparation of RSNOs. All NO donors (10 mmol l−1) could release NO continuously, and the amount of NO release was from 80.22 μmol l−1 to 706.63 μmol l−1, in which the release of NO from SNAC was the highest, and the release of NO from NaNO2 was the least. The inhibition zone indicated that all NO donors showed stronger antibacterial activity against E. coli and S. aureus, and the antibacterial ability was in the order of SNAC &gt; GSNO &gt; CySNO &gt; GAS &gt; NaNO2 for both E. coli and S. aureus (P &lt; 0.05). Scanning electron microscopy(SEM) showed that all NO donors could result in varying degrees of damage to cell wall and membrane of both E. coli and S. aureus and the damage of E. coli was more severe.

Conclusion
Four alternative NO donors were successfully synthesized. All alternative NO donors showed better antibacterial properties against E. coli and S. aureus than NaNO2.