bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi-directional broadband piezoelectric-electromagnetic-magnetic coupling compound energy harvester for vibration energy harvesting applications
Authors: Gao Mingming , Zhu Yongqiang , Li Donglin , Liu Hao , Guo Qiang 
Published: December 2023

Abstract
Currently, common vibration energy harvesters can only capture vibration energy in a unidirectional or fixed plane, posing issues such as high collection frequency, limited frequency range, and low output power. This paper proposes a multi-directional broadband piezoelectric-electromagnetic-magnetic coupling composite vibration energy harvester. It achieves three-directional energy harvesting while broadening the harvesting frequency and having a higher power density compared to current state-of-the-art research. Comprising a piezoelectric system and an electromagnetic system, the harvester leverages theoretical analysis to design the piezoelectric cantilever beam with a branching structure, enhancing its broad frequency characteristics. In addition, the magnetic coupling effect is added to the device so that the cantilever beam in three directions can work when the device receives unidirectional vibration excitation. Building on theoretical analysis, the COMSOL 5.6 software is utilized to conduct simulation analysis and optimize the size of the designed piezoelectric cantilever beam structure. This process validates theoretical analysis accuracy and improves energy capture capability. To confirm device viability and simulation accuracy, a physical model is fabricated, and vibration tests are executed. The energy harvester generates two peaks (10 Hz, 27 Hz) when vibration excitation is applied, which effectively broadens the collection frequency. Under the vibration frequency excitation in the X and Y directions, the total composite output power of the multidirectional broadband piezoelectric-electromagnetic-magnetic coupling composite vibration energy harvester is 17.72 mW and 30.22 mW, and the power density can reach 32.85 mW·cm−3, which significantly strengthened the captured energy efficiency of the energy harvester compared with the energy harvester without magnetic coupling, with the total composite output power increased by 352.0% and 165.8%, respectively; under the excitation of the Z-direction vibration frequency, the total composite output power was 42.42 mW and 44.80 mW, and the power density could reach 48.70 mW·cm−3.
On the synthesis methodologies to prepare ‘Pb9Cu(PO4)6O’: phase, composition, magnetic analysis and absence of superconductivity
Authors: Thakur Gohil S , Schulze Manuel , Ruck Michael 
Published: December 2023

Abstract
We present the results of our various attempts to prepare the purported room-temperature and ambient-pressure superconducting compound ‘Pb9Cu(PO4)6O’ (LK-99). We experimented with various starting materials and used several synthesis techniques, such as reactions in sealed silica tubes or sintering in air, to prepare the reported phase. Repetition of the exact synthesis procedure reported by Lee et al failed to reproduce the superconducting phase yielding only a multiphase sample. None of our prepared samples exhibit Meissner effect or levitation. Very importantly, only a small amount of copper was detected in the samples of the phase designated ‘LK-99’. Dark gray flakes were found in some samples that reacted to a permanent magnet at room temperature, reminiscing of ‘half-levitation.’ Magnetic measurement reveal that all samples are diamagnetic in the temperature range of 2–325 K. At 2 K, a weak soft ferromagnetic behavior is observed, the origin of which is unknown.
Nonlinear equilibria and transport processes in burning plasmas
Authors: Falessi Matteo Valerio , Chen Liu , Qiu Zhiyong , Zonca Fulvio 
Published: December 2023

Abstract
In this work, we put forward a general phase space transport theory in axisymmetric tokamak plasmas based upon the concept of zonal state (ZS). Within this theoretical framework, the ZS corresponds to a renormalized plasma nonlinear equilibrium consisting of phase space zonal structures (PSZS) and zonal electromagnetic fields (ZFs) which evolve self-consistently with symmetry breaking fluctuations and sources/collisions. More specifically, our approach involves deriving governing equations for the evolution of particle distribution functions (i.e, PSZS), which can be used to compute the corresponding macro-/meso-scale evolving magnetized plasma equilibrium adopting the Chew Goldberger Low description, separating the spatiotemporal microscale structures. The nonlinear physics of ZFs and of geodesic acoustic modes (GAMs)/energetic particle driven GAMs is then analyzed to illustrate the applications of our theory.
General quantum secure multiparty computation protocol for simultaneous summation and multiplication
Authors: Li Fulin , Luo Mei , Zhu Shixin , Pang Binbin 
Published: December 2023

Abstract
Quantum secure multiparty computation occupies an important place in quantum cryptography. Based on access structure and linear secret sharing, we propose a new general quantum secure multiparty computation protocol for simultaneous summation and multiplication in a high-dimensional quantum system. In our protocol, each participant within any authorized sets only needs to perform local Pauli operation once on the generalized Bell state, then the summation and multiplication results can be output simultaneously, which improves the practicality of the protocol. Moreover, in the privacy computation phase, the decoy particle detection technique as well as the addition of random numbers are applied to blind the privacy information, making our protocol higher privacy protection. Security analysis shows that our protocol is resistant to a series of typical external attacks and dishonest internal participant attacks such as individual attack and collusion attack. Finally, compared with the existing protocols, our protocol not only has higher efficiency but also lower consumption.
On complex fractal-fractional order mathematical modeling of CO
2 emanations from energy sector
Authors: Shah Kamal , Abdeljawad Thabet 
Published: December 2023

Abstract
This research work is devoted to undertake a mathematical model for emissions of carbon dioxide (CO
2) from energy sector using the concept of fractals-fractional differential (FFD) operator. Here, it should be kept in mind that as the population is expanding, so the need of energy increasing day by day. Burning fossil fuels accounts for a sizable amount of the world’s energy production, which increases the concentration of CO
2 in the atmosphere and causes the global warming. It’s critical to reduce CO
2 emissions from the energy industry. Therefore, via the use of FFD operator, we investigate a mathematical model which is addressing the mentioned process. We deduce some qualitative results regarding the existence of such models in real life using mathematical analysis. The aforesaid analysis is based on some fixed points approaches. Additionally, some analysis devoted to stability is also derived for the proposed model. In addition, a numerical algorithms based on modified Euler method is constructed to simulate the results graphically.
On obtaining analytical soliton solutions of Drinfeld-Sokolov-Satsuma-Hirota equation via two efficient methods
Authors: Cakicioglu Hasan , Cinar Melih , Secer Aydin , Ozisik Muslum , Bayram Mustafa 
Published: December 2023

Abstract
In this work, we use the enhanced modified extended tanh method (eMETEM) and the unified Riccati equation expansion (UREEM) to find analytical solutions to the Drinfeld-Sokolov-Satsuma-Hirota equation (DSSH). The use of coupled nonlinear partial differential equations in the modeling of many physical phenomena, the origin of the Drinfeld-Sokolov-Satsuma-Hirota equation being the formation of the coupled system, and the fact that this model also constitutes a fundamental model in representing numerous physical events, primarily shallow water and coastal regions, have been the driving force behind the study. To visualize the obtained solutions, contour, two and three-dimensional plots are presented. The proposed methods have effectively generated a range of solitons, such as kink, singular, and periodic singular types. The graphic presentations complete the interpretation of the physical significance of the obtained kink and singular soliton types, and the interpretation of the obtained graphs within this framework. In this sense, the findings of the study will help to shape future research in this field.
Corrosion inhibition effects of organic compounds on carbon steel research progress: a visualization analysis based on CiteSpace
Authors: Jia Na , Wang Chunxin , Liu Jiuqing 
Published: December 2023

Abstract
This study systematically reviews the progress of research on the corrosion inhibition effects of organic compounds on carbon steel since 2002, using the CiteSpace bibliometric tool. Through the analysis of 2,264 articles from the WOS (Web of Science) and Scopus databases, our team delved into aspects such as annual publication volume, authors, institutions, countries and keywords which helped identify the current research focus in this field. In particular, the protective efficacy of organic compounds on carbon steel in acidic environments has been highlighted. It is evident that the integration of coating technology, the development of organic compound derivatives and the extraction of green organic compounds have emerged as new research hotspots in this field. This study not only comprehensively evaluates the means and methods of assessing the corrosion inhibition performance of new organic compounds but also further specifies the main directions for future research in this field. These include composite organic coatings, targeted development of new organic compounds, development and application of green organic compounds from plants and corrosion inhibition mechanisms of organic compounds on other metal materials. This study not only provides a thorough and in-depth review of the history and current status of this field but, more importantly, clarifies specific directions for future research in this area. The aim of this research is to provide strong theoretical support and practical guidance for subsequent researchers, promoting future development of this field.
Physicochemical properties and in vitro activity of SrHPO4 modified magnesium oxychloride bone cement
Authors: Feng Jinlun , Liao Jianguo , Ma Tingting , Guo Wenjie , Chen Junying , He Xiaofang , Liu Haohuai 
Published: December 2023

Abstract
In response to the shortcomings of magnesium oxychloride cement (MOC), which has excellent with outstanding mechanical properties and favorable bioactivity but poor water resistance, strontium hydrogen phosphate (SrHPO4) was used as a water resistance modifier for MOC in the paper, and the effects of SrHPO4 on the strength, water resistance, in vitro degradation and bioactivity of MOC were investigated; the results showed that SrHPO4 could enhance the water resistance of MOC, in which the initial strength of MOC containing 4.0 wt% SrHPO4 was 92.3 ± 2.5 MPa, and the strength was still 8.2 ± 0.9 MPa after 84 d of immersion in SBF solution; the degradation experiments of the samples in SBF solution showed that the degradation of SrHPO4-MOC was controlled, and the low alkaline environment created by the degradation promoted the deposition of hydroxyapatite on the cement surface, it indicated that SrHPO4-MOC material had good degradation properties and bioactivity; cell experiments showed that compared with MOC, SrHPO4-MOC was noncytotoxic and could promote cell proliferation, which was expected to be a new material for bone repair.
Quantum circuits for measuring weak values, Kirkwood–Dirac quasiprobability distributions, and state spectra
Authors: Wagner Rafael , Schwartzman-Nowik Zohar , Paiva Ismael L , Te’eni Amit , Ruiz-Molero Antonio , Barbosa Rui Soares , Cohen Eliahu , Galvão Ernesto F 
Published: December 2023

Abstract
Weak values and Kirkwood–Dirac (KD) quasiprobability distributions have been independently associated with both foundational issues in quantum theory and advantages in quantum metrology. We propose simple quantum circuits to measure weak values, KD distributions, and spectra of density matrices without the need for post-selection. This is achieved by measuring unitary-invariant, relational properties of quantum states, which are functions of Bargmann invariants, the concept that underpins our unified perspective. Our circuits also enable experimental implementation of various functions of KD distributions, such as out-of-time-ordered correlators and the quantum Fisher information in post-selected parameter estimation, among others. An upshot is a unified view of nonclassicality in all those tasks. In particular, we discuss how negativity and imaginarity of Bargmann invariants relate to set coherence.
Eating on the Ground
Authors: Stein Sarah Abrevaya 
Published: December 2023

Abstract
The picnic blanket is lumpy, the ants bite, and the food’s sandy, but you see so much more when you’re eating on the ground. The picnic and the portable camera came of age together in late Ottoman society, and “vernacular” picnic photographs are a ubiquitous feature of the Sephardic photo album. This essay converses with the children, women, men, and objects that appear in these images, considering how Sephardic Jews relaxed and ate in nature at a time when so much was shifting around them—and whether the scattered, globally diasporic, families-owned archive of the Sephardic photo album can be united to restore a lived, dusty, lusty image of late and post-Ottoman Jewish life.
ReConPlot: an R package for the visualization and interpretation of genomic rearrangements
Authors: Espejo Valle-Inclán Jose , Cortés-Ciriano Isidro 
Published: December 2023

Abstract

Motivation
Whole-genome sequencing studies of human tumours have revealed that complex forms of structural variation, collectively known as complex genome rearrangements (CGRs), are pervasive across diverse cancer types. Detection, classification, and mechanistic interpretation of CGRs requires the visualization of complex patterns of somatic copy number aberrations (SCNAs) and structural variants (SVs). However, there is a lack of tools specifically designed to facilitate the visualization and study of CGRs.

Results
We present ReConPlot (REarrangement and COpy Number PLOT), an R package that provides functionalities for the joint visualization of SCNAs and SVs across one or multiple chromosomes. ReConPlot is based on the popular ggplot2 package, thus allowing customization of plots and the generation of publication-quality figures with minimal effort. Overall, ReConPlot facilitates the exploration, interpretation, and reporting of CGR patterns.

Availability and implementation
The R package ReConPlot is available at https://github.com/cortes-ciriano-lab/ReConPlot. Detailed documentation and a tutorial with examples are provided with the package.
The Role of the Gut Microbiome in Cancer: A Review, With Special Focus on Colorectal Neoplasia and Clostridioides difficile
Authors: Anderson Sean M , Sears Cynthia L 
Published: December 2023

Abstract
The gut microbiome has coevolved with humans to aid in physiologic functions and prevent disease. An increasing prevalence of gut dysbiosis in modern society exists and has strong linkages to multiple disease processes common in the developed world. Mechanisms for microbiome-human interactions that impact host homeostasis include bacterial metabolite/toxin production, biofilm formation with mucous layer infiltration, and host immune system modulation. Most of this crosstalk occurs at the epithelial layer of the gut, and as such the role of these interactions in the induction of colorectal cancer—a highly prevalent disease globally and one undergoing significant epidemiologic shifts—is under increasing scrutiny. Although multiple individual gut bacteria have been hypothesized as possible driver organisms in the oncogenic process, no bacterium has been definitively identified as a causal agent of colorectal cancer, suggesting that host lifestyle factors, microbiome community interactions, and the mucosal and/or systemic immune response may play a critical role in the process. Recent evidence has emerged implicating the ubiquitous human pathogen Clostridioides difficile as a possible promoter of colorectal cancer through chronic toxin-mediated cellular changes. Although much remains to be defined regarding the natural history of infections caused by this pathogen and its potential for oncogenesis, it provides a strong model for the role of both individual bacteria and of the gut microbial community as a whole in the development of colorectal cancer.
The Relationship Between the Microbiome and Antimicrobial Resistance
Authors: Nhu Nguyen T Q , Young Vincent B 
Published: December 2023

Abstract
Antibiotics have benefitted human health since their introduction nearly a century ago. However, the rise of antibiotic resistance may portend the dawn of the “post-antibiotic age.” With the narrow pipeline for novel antimicrobials, we need new approaches to deal with the rise of multidrug resistant organisms. In the last 2 decades, the role of the intestinal microbiota in human health has been acknowledged and studied widely. Of the various activities carried out by the gut microbiota, colonization resistance is a key function that helps maintain homeostasis. Therefore, re-establishing a healthy microbiota is a novel strategy for treating drug resistance organisms. Preliminary studies suggest that this is a viable approach. However, the extent of their success still needs to be examined. Herein, we will review work in this area and suggest where future studies can further investigate this method for dealing with the threat of antibiotic resistance.
Disparities in the non-laboratory INTERHEART risk score and its components in selected countries of Europe and sub-Saharan Africa: analysis from the SPICES multi-country project
Authors: Hassen Hamid Y , Abrams Steven , Musinguzi Geofrey , Rogers Imogen , Dusabimana Alfred , Mphekgwana Peter M , Bastiaens Hilde ,   Scaling-up Packages of Interventions for Cardiovascular diseases in Europe and Sub-Saharan Africa (SPICES) study investigators, Bastiaens Hilde , Hassen Hamid Y , Aerts Naomi , Anthierens Sibyl , Van Royen Kathleen , Masquillier Caroline , Le Reste Jean Yves , Le Goff Delphine , Perraud Gabriel , van Marwijk Harm , Ford Elisabeth , Grice-Jackson Tom , Rogers Imogen , Nahar Papreen , Gibson Linda , Bowyer Mark , Nkengateh Almighty , Musinguzi Geofrey , Ndejjo Rawlance , Nuwaha Fred , Sodi Tholene , Mphekgwana Peter M , Malema Nancy , Kgatla Nancy , Mothiba Tebogo M 
Published: December 2023

Abstract

Aims
Accurate prediction of a person’s risk of cardiovascular disease (CVD) is vital to initiate appropriate intervention. The non-laboratory INTERHEART risk score (NL-IHRS) is among the tools to estimate future risk of CVD. However, measurement disparities of the tool across contexts are not well documented. Thus, we investigated variation in NL-IHRS and components in selected sub-Saharan African and European countries.

Methods and results
We used data from a multi-country study involving 9309 participants, i.e. 4941 in Europe, 3371 in South Africa, and 997 in Uganda. Disparities in total NL-IHRS score, specific subcomponents, subcategories, and their contribution to the total score were investigated. The variation in the adjusted total and component scores was compared across contexts using analysis of variance. The adjusted mean NL-IHRS was higher in South Africa (10.2) and Europe (10.0) compared to Uganda (8.2), and the difference was statistically significant (P &lt; 0.001). The prevalence and per cent contribution of diabetes mellitus and high blood pressure were lowest in Uganda. Score contribution of non-modifiable factors was lower in Uganda and South Africa, entailing 11.5% and 8.0% of the total score, respectively. Contribution of behavioural factors to the total score was highest in both sub-Saharan African countries. In particular, adjusted scores related to unhealthy dietary patterns were highest in South Africa (3.21) compared to Uganda (1.66) and Europe (1.09). Whereas, contribution of metabolic factors was highest in Europe (30.6%) compared with Uganda (20.8%) and South Africa (22.6%).

Conclusion
The total risk score, subcomponents, categories, and their contribution to total score greatly vary across contexts, which could be due to disparities in risk burden and/or self-reporting bias in resource-limited settings. Therefore, primary preventive initiatives should identify risk factor burden across contexts and intervention activities need to be customized accordingly. Furthermore, contextualizing the risk assessment tool and evaluating its usefulness in different settings are recommended.
The Political Scar of Epidemics
Authors: Eichengreen Barry , Saka Orkun , Aksoy Cevat Giray 
Published: December 2023

Abstract
Epidemic exposure in an individual's ‘impressionable years’ (ages 18 to 25) has a persistent negative effect on confidence in political institutions and leaders. This loss of trust is associated with epidemic-induced economic difficulties, such as lower income and unemployment later in life. It is observed for political institutions and leaders only and does not carry over to other institutions and individuals. A key exception is a strong negative effect on confidence in public health systems. This suggests that the distrust in political institutions and leaders is associated with the (in)effectiveness of a government's healthcare-related response to epidemics. We show that the loss of political trust is largest for individuals who experienced epidemics under weak governments with low policymaking capacity, and confirm that weak governments in fact took longer to introduce policy interventions in response to COVID-19. We report evidence that the epidemic-induced loss of political trust discourages electoral participation in the long term.
Economic Distress and Children’s Mental Health: Evidence from the Brazilian High-Risk Cohort Study for Mental Conditions
Authors: Fontes L F , Mrejen M , Rache B , Rocha R 
Published: December 2023

Abstract
This paper assesses the effects of adverse economic shocks on children’s mental health. We rely on the Brazilian High-Risk Cohort Study for mental conditions, which provides an unprecedented array of data on psychopathology, life events, family medical history as well as parental behaviour and polygenic scores for mental disorders over a ten-year period. Our empirical strategy exploits parental job loss events over time in a difference-in-differences framework. We document that parental job loss significantly worsens children’s mental health, resulting in increased clinical diagnoses of mental disorders. These results are robust to several specifications and pre-trends. Heterogeneous results and mechanism analysis indicate that psychological distress in the household brought about by job loss events may be a key mechanism affecting children’s mental health.