bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analytical solution and optimal design for the output performance of Galfenol cantilever energy harvester considering electromechanical coupling effect
Authors: Wang Lingzhi , Lian Chengling , Shu Dalin , Yan Zhitao , Nie Xiaochun 
Published: August 2023

AbstractThe theoretical model of a Galfenol cantilever energy harvester is investigated for vibration energy harvesting. Compared with the numerical solution, the analytical solution can better capture the intrinsic effects of the physical parameters on the performance of the harvester. In this work, an electromechanical coupled distributed-parameter model of the Galfenol cantilever energy harvester is established based on Hamilton’s principle, linear constitutive equations of magnetostrictive material, and Faraday’s law of electromagnetic induction. The definitions and expressions of the electric damping and modified frequency are proposed due to the electromechanical coupling. The explicit analytical expressions of the average harvested power across the load resistance and tip vibration displacement of the Galfenol energy harvesting model are derived using the methods of Galliakin decomposition and electromechanical decoupling. The accuracy of the derived analytical results is verified by the experimental data and numerical solutions. The vibration response and energy harvesting performance of the Galfenol energy harvesting model are investigated by varying the excitation frequency, external resistance, and excitation acceleration amplitude. The analytical results show that, with the increase of the external load resistance and excitation frequency, the harvested power increases first and then decreases, indicating the existence of the optimal resistance and excitation frequency. From the explicit analytical expressions of the average harvested power, the optimal external load resistance or excitation frequency could be easily found to achieve the maximum harvested power for any fixed excitation frequency or external load resistance. The concept of proposing the electric damping and modified frequency for the Galfenol cantilever energy harvester simplifies the solution process for the output performances benefiting from the exact relationship between the output performances and the electromechanical coupling parameter derived in this work.
Optimization of enzyme-assisted microwave extraction of Zanthoxylum limonella essential oil using response surface methodology
Authors: Khruengsai Sarunpron , Promhom Nittirat , Sripahco Teerapong , Siriwat Piyanuch , Pripdeevech Patcharee 
Published: August 2023

AbstractZanthoxylum limonella essential oil possesses potential antimicrobial activity and is of considerable interest as food flavouring and traditional herb. In this study, an enzymolysis-pretreatment-microwave-assisted extraction (EP-MAE) method was used to extract Z. limonella essential oil. The response surface methodology (RSM) with Plackett–Burman design (PBD) and Box-Behnken design (BBD) models were employed to optimize conditions in the EP-MAE method. Seven variables including water to plant ratio, enzyme amount, incubation temperature, incubation time, shaking speed, microwave time, and microwave power were selected to determine the optimal values for extracting Z. limonella essential oil. As the results, four variables including water to plant ratio, enzyme amount, microwave time and power were evaluated as significant variables affecting on yield and volatile compounds of Z. limonella essential oil from both PBD and BBD experiments. The optimum conditions of EP-MAE was obtained as follows: water to plant ratio (11.16 mL/g), enzyme amount (0.68%), microwave time (36.73 min), and power (1665 W). The Z. limonella essential oil composition and its yield from EP-MAE was compared to those extracted from MAE and hydrodistillation. The optimal extraction conditions in the EP-MAE method enhanced significantly higher essential oil yield (7.89 ± 0.08 mg/g) compared to those found by MAE (7.26 ± 0.04 mg/g) and hydrodistillation (7.04 ± 0.03 mg/g), respectively. Fifty-one volatile components were identified among these methods, with similar major compounds of limonene, β-pinene, and α-phellandrene, showing percentage ranging between 34.59–35.78%, 19.91–22.67%, 8.47–8.75%, respectively. However, an extremely higher content of compounds was detected using the EP-MAE method. This study demonstrates the significance of EP-MAE, which may be applied as a more potent extraction method for essential oils in aromatic plants compared to MAE and hydrodistillation.
Functional mechanical behavior of the murine pulmonary heart valve
Authors: Feng Xinzeng , Liu Yifei , Kamensky David , McComb David W. , Breuer Christopher K. , Sacks Michael S. 
Published: August 2023

AbstractGenetically modified mouse models provide a versatile and efficient platform to extend our understanding of the underlying disease processes and evaluate potential treatments for congenital heart valve diseases. However, applications have been limited to the gene and molecular levels due to the small size of murine heart valves, which prohibits the use of standard mechanical evaluation and in vivo imaging methods. We have developed an integrated imaging/computational mechanics approach to evaluate, for the first time, the functional mechanical behavior of the murine pulmonary heart valve (mPV). We utilized extant mPV high resolution µCT images of 1-year-old healthy C57BL/6J mice, with mPVs loaded to 0, 10, 20 or 30 mmHg then chemically fixed to preserve their shape. Individual mPV leaflets and annular boundaries were segmented and key geometric quantities of interest defined and quantified. The resulting observed inter-valve variations were small and consistent at each TVP level. This allowed us to develop a high fidelity NURBS-based geometric model. From the resultant individual mPV geometries, we developed a mPV shape-evolving geometric model (SEGM) that accurately represented mPV shape changes as a continuous function of transvalvular pressure. The SEGM was then integrated into an isogeometric finite element based inverse model that estimated the individual leaflet and regional mPV mechanical behaviors. We demonstrated that the mPV leaflet mechanical behaviors were highly anisotropic and nonlinear, with substantial leaflet and regional variations. We also observed the presence of strong axial mechanical coupling, suggesting the important role of the underlying collagen fiber architecture in the mPV. When compared to larger mammalian species, the mPV exhibited substantially different mechanical behaviors. Thus, while qualitatively similar, the mPV exhibited important functional differences that will need to accounted for in murine heart valve studies. The results of this novel study will allow detailed murine tissue and organ level investigations of semi-lunar heart valve diseases.
Lattice dynamics and carrier recombination in GaAs/GaAsBi nanowires
Authors: Jansson M. , Nosenko V. V. , Rudko G. Yu , Ishikawa F. , Chen W. M. , Buyanova I. A. 
Published: August 2023

AbstractGaAsBi nanowires represent a novel and promising material platform for future nano-photonics. However, the growth of high-quality GaAsBi nanowires and GaAsBi alloy is still a challenge due to a large miscibility gap between GaAs and GaBi. In this work we investigate effects of Bi incorporation on lattice dynamics and carrier recombination processes in GaAs/GaAsBi core/shell nanowires grown by molecular-beam epitaxy. By employing photoluminescence (PL), PL excitation, and Raman scattering spectroscopies complemented by scanning electron microscopy, we show that increasing Bi-beam equivalent pressure (BEP) during the growth does not necessarily result in a higher alloy composition but largely affects the carrier localization in GaAsBi. Specifically, it is found that under high BEP, bismuth tends either to be expelled from a nanowire shell towards its surface or to form larger clusters within the GaAsBi shell. Due to these two processes the bandgap of the Bi-containing shell remains practically independent of the Bi BEP, while the emission spectra of the NWs experience a significant red shift under increased Bi supply as a result of the localization effect.
Multi-omics determination of metabolome diversity in natural coral populations in the Pacific Ocean
Authors: Reddy Maggie M. , Goossens Corentine , Zhou Yuxiang , Chaib Slimane , Raviglione Delphine , Nicolè Florence , Hume Benjamin C. C. , Forcioli Didier , Agostini Sylvain , Boissin Emilie , Boss Emmanuel , Bowler Chris , de Vargas Colomban , Douville Eric , Flores Michel , Furla Paola , Galand Pierre E. , Gilson Eric , Lombard Fabien , Pesant Stéphane , Reynaud Stéphanie , Sullivan Matthew B. , Sunagawa Shinichi , Troublé Romain , Thurber Rebecca Vega , Wincker Patrick , Zoccola Didier , Voolstra Christian R. , Allemand Denis , Planes Serge , Thomas Olivier P. , Banaigs Bernard 
Published: August 2023

AbstractCoral reefs are considered one of the most emblematic ecosystems in our oceans, but their existence is increasingly threatened by climate change. In this study, natural populations of two reef-building coral genera, Pocillopora spp. and Porites spp., and one hydrocoral Millepora cf. platyphylla from two different marine provinces in the Pacific Ocean were investigated using a multi-omics approach as part of the Tara Pacific expedition. Here, we propose a standardised method consisting of a biphasic extraction method followed by metabolomics analysis using mass spectrometry for the lipidome and 1H nuclear magnetic resonance for hydrophilic metabolites. Our study assessed a broad range of the metabolome and is the first to identify and add 24 compounds by NMR and over 200 lipids by MS analyses for corals. Metabolic profiles were distinct among genera but not within genotypes of the cnidarian corals. Although endosymbiotic dinoflagellates of the family Symbiodiniaceae are known to play a central role in the metabolomic signature of the coral holobiont, they did not account for all differences. This suggests that a combined effect by different members of the coral holobiont and an interaction with the environment might be at play. Our study provides foundational knowledge on the coral holobiont metabolome.
Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration
Authors: Vogelsang Lukas , Drissi-Daoudi Leila , Herzog Michael H. 
Published: August 2023

AbstractIntegration across space and time is essential for the analysis of motion, low contrast, and many more stimuli. A crucial question is what determines the duration of integration. Based on classical models of decision-making, one might expect that integration terminates as soon as sufficient evidence about a stimulus is accumulated and a threshold is crossed. However, there is very little research on this question as most experimental paradigms cannot monitor processing following stimulus presentation. In particular, it is difficult to determine when processing terminates. Here, using the sequential metacontrast paradigm (SQM), in which information is mandatorily integrated along motion trajectories, we show that the processing load determines the extent of integration but that evidence accumulation does not. Further, the extent of integration is determined by absolute time instead of the number of elements presented. These results have important implications for understanding the time course and mechanisms of temporal integration.
Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller
Authors: Kim Yongju , Ka Dongju , Lee Chungwon 
Published: August 2023

AbstractA merging section on a freeway is a typical bottleneck where congestion easily occurs due to interference caused by vehicles entering the mainline from the ramp. To achieve higher speeds and/or yield to merging vehicles, drivers on the mainline often change lanes while continuously examining the circumstances ahead that are within their sight. This individual lane‐changing behaviour is somewhat myopic and could cause an imbalance in lane use, resulting in earlier onset of congestion and a more severe capacity drop than with balanced lane use. This study proposes a feedback‐based lane‐changing control strategy that balances lane flow at merge bottlenecks to mitigate capacity drop under a connected vehicle environment. The proposed Proportional‐Integral‐Derivative feedback controller examines the traffic state of the inner lanes and systematically governs the number of lane‐changing vehicles to prevent possible excessive disturbance. The proposed strategy is evaluated using microscopic simulation. For the hypothetical network, the strategy reduces the imbalance in lane flows and improves discharge flow rate as well as travel time. For the real‐world network, the strategy can also effectively relieve congestion in a possible scenario of connected automated vehicle adoption. These results indicate that the proposed strategy can improve flow efficiency for high‐volume traffic.
The age, kinematics, and metallicity of nearby Sun-like stars and the history of the Milky Way disc
Authors: Gondoin P. 
Published: August 2023

Contact. Investigating how the Milky Way formed and has evolved is an important topic in astrophysics that requires the determination of precise ages for large samples of stars over long periods.
Aims. The present study addresses the formation history of nearby Sun-like stars using the emission reversal in the cores of their Ca II H&K Fraunhofer lines as an age indicator.
Methods. I used an empirical age–activity relationship derived from stellar rotation period measurements in intermediate-age open clusters to infer the age distribution of a representative sample of nearby 0.85−1.0 M⊙ stars with −0.2 ≤ [Fe/H] ≤ +0.2. The evolution of the dispersion of their velocity components and of the mean iron abundance as a function of age is estimated.
Results. The inferred age distribution shows a steep rise in star formation in the solar neighbourhood between 7 and 6 Gyr ago, with a maximum formation rate ∼5 Gyr ago. This rate then decays until ∼2 Gyr and rises again in the recent past. The dispersion of the radial and vertical velocity components of the sample stars is the largest at the time of maximum star formation. Their mean iron abundance first decays from a super-solar value ([Fe/H] ∼ +0.05) ∼ 6 Gyr ago to a sub-solar value ([Fe/H] ≤ −0.05) ∼ 4 Gyr ago and rises again in the recent past.
Conclusions. This timeline is consistent with a scenario where the steep rise in the age distribution of nearby Sun-like stars around 7−6 Gyr is related to an external perturbation induced by a first close pericentric passage of the Sgr galaxy ∼6.5 Gyr ago. The Sgr galaxy would have been significantly stripped from its gas in this first encounter, thus explaining the weaker star formation during a more recent encounter ∼2 Gyr ago. The gas infall from the satellite galaxy onto the MilkyWay disc would have diluted its metallicity over an extended period of time after the first encounter. The turbulence induced in this initial encounter may be partly responsible for the increased dispersion of velocity components of the stars born around the age of maximum star formation. A continuous metal enrichment of the disc would have progressively compensated the decaying infall of low-metallicity gas leading to an increase in the mean stellar metallicity in the last 4 Gyr.
Hsa_circ_0000106 Acts as a Tumor Promoter in Pancreatic Cancer by
Targeting the MiR-455–3p/HDAC4
Authors: Hao Shunxin , Yao Zhi , Liu Yifeng 
Published: August 2023

AbstractCircular RNAs (circRNAs) frequently participate in pancreatic cancer (PC)
progression. This study focuses on circ_0000106, a novel circRNA, and its
potential function in PC development. Circ_00001106, miR-455–3p, and
HDAC4 expression levels in PC were determined using qRT-PCR and immunoblotting.
RNA immunoprecipitation and dual-luciferase reporter assays were performed to
verify their binding interactions. Loss-of-function assays, including CCK-8,
colony formation, and transwell assays, were used to estimate the proliferative
and migratory properties of PC cells. A nude mouse model was constructed to
assess the influence of circ_0000106 on tumor formation in vivo. A pronounced
elevation of circ_0000106 and HDAC4 and a reduction of miR-455–3p in PC
were observed. Circ_0000106 was prone to binding to miR-455–3p, and
miR-455–3p further targeted HDAC4. Functionally, the proliferative and
migratory properties of PC cells were dampened by the loss of circ_0000106 or
HDAC4 and could be potentiated by miR-455–3p inhibition. Moreover, the
knockdown of circ_0000106 delayed tumor growth in vivo. Additionally, the
downregulation of miR-455–3p attenuated the repressive effects of
circ_0000106 deficiency on PC cell migration and proliferation. Loss of HDAC4
exerted similar mitigative effects on miR-455–3p
downregulation-stimulated PC cells. In conclusion, circ_0000106 promotes tumor
migration and growth in PC by targeting the miR-455–3p/HDAC4
axis. These results suggest that the
circ_0000106/miR-455–3p/HDAC4 network could be regarded
as a latent target for PC treatment.
Towards a more comprehensive assessment of FDI’s societal impact
Authors: Wiessner Yannick T. , Giuliani Elisa , Wijen Frank , Doh Jonathan 
Published: August 2023

AbstractSocietal actors increasingly expect multinational enterprises (MNEs) to positively impact the host countries in which they operate. While these expectations have prompted IB scholars to engage more extensively with the societal impacts of foreign direct investment (FDI), our collective knowledge of these impacts is limited. Early IB literature investigated FDI’s aggregate impact but generally confined the scope to economic effects. Contemporary, strategy-oriented IB scholarship broadened the scope of impact types to include social and ecological effects, yet mostly limited the scope of the impacted actors to MNEs themselves. We argue that IB research should more comprehensively assess FDI’s impact by incorporating social and ecological effects in addition to economic ones, and by accounting for a broader set of stakeholders beyond MNEs. IB scholars should challenge the assumption that FDI’s economic impacts spill over to positive societal outcomes, and that MNEs’ interests parallel those of host countries. A more comprehensive assessment will require IB scholars to question “win–win” assumptions about the complementarity of corporate societal and financial performance, examine FDI’s societal impact over longer time horizons, leverage innovative approaches from allied sciences, and consider interactions between different types of societal effects in order to appreciate their sometimes countervailing effects.
Caveman, genius, artist, entrepreneur: success and self-realization from literary naturalism to advice literature
Authors: Dorson James 
Published: August 2023

AbstractThis essay examines the dramatization of a new model of selfhood in U.S. naturalist fiction at the turn of the twentieth century and how it was taken up by advice literature during the interwar years. By tracing a lineage of the self through the characterological types of the caveman, genius, artist, and entrepreneur, the essay shows how the construction of the caveman as a more vital self than the bourgeois individual at the turn of the twentieth century morphed into a biologized notion of Romantic genius and further into configurations of artists and entrepreneurs as the century progressed. As the types shade into each other in naturalist fiction and advice literature, they represent a new model for successful working and living that fuses expressive and economic goals, and which anticipates contemporary constructions of work as a pursuit of creative self-expression and self-actualization.
Molecular dynamics simulation and experiment on analyzing mechanical properties of PMMA/SiO2 composites based on interfacial interaction
Authors: Zhang Linan , Shen Tongzhou , Wu Liqun , Wang Hongcheng , Liu Hongying 
Published: August 2023

In this paper, we investigate the impact of modified SiO2 nanoparticles on the mechanical properties of Polymethyl methacrylate (PMMA) composites through a combination of molecular dynamics simulation and experimentation. Our investigation focuses on analyzing the elastic modulus, bulk modulus, shear modulus, and Cauchy ratio of pure PMMA, PMMA/SiO2 composites, and PMMA/modified SiO2 composites over a temperature range of 200–400 K. Our results indicate that, as the temperature increases, the elastic modulus, bulk modulus, and Cauchy ratio of all materials decrease, while the shear modulus initially increases and then decreases. Notably, at room temperature, the elastic modulus, bulk modulus, and shear modulus of the composites increase with an increase in the degree of nanoparticle modification, while the Cauchy ratio exhibits the opposite trend. Our findings suggest that modified SiO2 nanoparticles have the potential to enhance the mechanical properties of composite materials. To validate our simulation results, we also conducted experiments that demonstrated the rationality of our approach.
Local structure, thermodynamics, and melting of boron phosphide at high pressures by deep learning-driven ab initio simulations
Authors: Chtchelkatchev N. M. , Ryltsev R. E. , Magnitskaya M. V. , Gorbunov S. M. , Cherednichenko K. A. , Solozhenko V. L. , Brazhkin V. V. 
Published: August 2023

Boron phosphide (BP) is a (super)hard semiconductor constituted of light elements, which is promising for high demand applications at extreme conditions. The behavior of BP at high temperatures and pressures is of special interest but is also poorly understood because both experimental and conventional ab initio methods are restricted to studying refractory covalent materials. The use of machine learning interatomic potentials is a revolutionary trend that gives a unique opportunity for high-temperature study of materials with ab initio accuracy. We develop a deep machine learning potential (DP) for accurate atomistic simulations of the solid and liquid phases of BP as well as their transformations near the melting line. Our DP provides quantitative agreement with experimental and ab initio molecular dynamics data for structural and dynamic properties. DP-based simulations reveal that at ambient pressure, a tetrahedrally bonded cubic BP crystal melts into an open structure consisting of two interpenetrating sub-networks of boron and phosphorous with different structures. Structure transformations of BP melt under compressing are reflected by the evolution of low-pressure tetrahedral coordination to high-pressure octahedral coordination. The main contributions to structural changes at low pressures are made by the evolution of medium-range order in the B-subnetwork and, at high pressures, by the change of short-range order in the P-subnetwork. Such transformations exhibit an anomalous behavior of structural characteristics in the range of 12–15 GPa. DP-based simulations reveal that the Tm(P) curve develops a maximum at P ≈ 13 GPa, whereas experimental studies provide two separate branches of the melting curve, which demonstrate the opposite behavior. Analysis of the results obtained raises open issues in developing machine learning potentials for covalent materials and stimulates further experimental and theoretical studies of melting behavior in BP.