bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acoustic Energy Harvesting From Sonic Crystals with Non-square Lattices Using Piezoelectric Patch
Authors: Sharifi-Moghaddam Saeed , Ziaei-Rad Saeed , Hafshjani Reihaneh Hadipour , Tikani Reza 
Published: December 2023

Abstract
Energy harvesting from the environment has been one of the important challenges for researchers in recent years. Acoustic energy is one of the natural sources of mechanical energy that can be converted into electrical energy by using metamaterial or piezoelectric. In such a way that by creating a defect in a regular lattice of the crystal, at the point of defect, the concentration of sound pressure was created, and by installing the PVDF piezoelectric patch, mechanical energy can be converted into electrical energy. In this research, to identify a suitable model to harvest maximum acoustic energy, the effect of various lattices including circular, rhombus, rectangular, square-rhombic, square-rectangular, and rhombus-rectangular lattices on the sound pressure level (SPL) and energy harvesting was investigated. Also, the effect of changing the position of the defect and increasing the number of defects on the SPL was studied. The simulated results were calculated using Comsol Multiphysics 6.0. The validation of the results was confirmed by comparing them with the results of previous studies. The results showed that a square-rhombic lattice can provide the highest SPL and consequently the highest harvested energy. In the square-rhombic lattice, by using the optimal resistance of 15 kΩ at the frequency of 4220.4 Hz, the voltage and power were 11.34 mV and 4.15 nW, respectively.
Influence paths and transboundary impacts of green finance on sustainable development goals across China: a mediating effect and spatial econometric analysis
Authors: Li Chenggang , Bao Youhui , Jiao Xinying , Yue Mu , Shang Guofei , Wu Liang 
Published: December 2023

Abstract

Sustainable development is a global consensus, and green finance is considered to have important impact on the sustainable development. However, there is limited research exploring the influence paths and transboundary impacts of green finance on the sustainable development. In this study, we developed an assessment system for green finance (GF) and sustainable development goals (SDGs) and used China’s provincial panel data over the period 2008–2020. We utilized the panel data model, mediating effect model, and spatial Durbin model to examine the effect, influence paths, and transboundary impacts of green finance on the SDGs. Our findings reveal that GF has a significantly positive influence on the SDGs. GF promotes the SDGs by adjusting the industrial structure, promoting green innovation, and reducing energy consumption and CO2 emissions. Notably, the positive effect of GF on the SDGs has prominent differences in eastern, central and western China, and the establishment of a green finance system significantly strengthens the effect. Furthermore, we found that the synergistic effect of GF in peripheral provinces contribute to SDGs progress of local provinces, especially in eastern region and the period over 2016–2020. This study provides valuable insights for the world to develop green finance and achieve sustainable development.
Setting the environmental performance threshold for diverting residual streams towards bioeconomy strategies
Authors: Javourez U. , Karan S.K. , Hamelin L. 
Published: December 2023

Abstract

To shift towards low fossil carbon economies, making more out of residual biomass is increasingly promoted. Yet, it remains unclear if implementing advanced technologies to reuse these streams really achieves net environmental benefits compared to current management practices. By integrating resource assessment methods, consequential life cycle analysis (LCA) and uncertainty analysis, we propose a single framework to quantify the residual biomass baseline, which is the environmental threshold any bioeconomy strategy should overpass. For France, we estimate the residual biomass baseline to generate 18.4 ± 2.7 MtCO2-eq.y-1, 255 ± 35 ktN-eq.y-1 and 12,300 ± 800 diseases per year (particulate matter formation). More than 90% of total environmental impacts and associated uncertainties were found attributable to the conventional management of crop residues and livestock effluents. We systematically assessed the environmental impacts associated with each residual stream, by reporting potential improvement measures and actions to reduce uncertainties. Overall, reusing residual streams as fertilizing products is currently supplying more than half of total P and K demand for France, but only 6% of the nitrogen demand, due to volatilization and prevailing farming accounting practices. Moreover, only 3% of residual streams are currently diverted to energy recovery. We argue that current situation is not a suitable reference for bioeconomy trajectories, as efforts to improve the agricultural and energy reuse of residual streams are already underway. These include the wide deployment of anaerobic digestion and the prioritization of biogas to suply sectors without decarbonization options, among others. We suggest any alternative bioeconomy strategy should rather compare to this projected baseline, estimated for France at 8.5 MtCO2-eq.y-1. The proposed framework is a stepping stone in defining indicators tailored to track the environmental relevance of bioeconomy strategies, but should be integrated with spatially-explicit LCA to guide local waste management planning.
Structural mechanisms of potent lysophosphatidic acid receptor 1 activation by nonlipid basic agonists
Authors: Nureki Osamu , Akasaka  Hiroaki , Sano Fumiya , Shihoya Wataru 
Published: December 2023

Abstract

Lysophosphatidic acid receptor 1 (LPA1) is one of the G protein-coupled receptors activated by the lipid mediator, lysophosphatidic acid (LPA). LPA1 is associated with a variety of diseases, and LPA1 agonists have potential therapeutic value for treating obesity and depression. Although potent nonlipid LPA1 agonists have recently been identified, the mechanisms of nonlipid molecule-mediated LPA1 activation remain unclear. Here, we report a cryo-electron microscopy structure of the human LPA1-Gi complex bound to a nonlipid basic agonist, CpY, which has 30-fold higher agonistic activity as compared with LPA. Structural comparisons of LPA1 with other lipid GPCRs revealed that the negative charge in the characteristic binding pocket of LPA1 allows the selective acceptance of CpY, which lacks a polar head. In addition, our structure showed that the ethyl group of CpY directly pushes W271 to fix the active conformation. Endogenous LPA lacks these chemical features, which thus represent the crucial elements of nonlipid agonists that potently activate LPA1. This study provides detailed mechanistic insights into the ligand recognition and activation of LPA1 by nonlipid agonists, expanding the scope for drug development targeting the LPA receptors.
Histone marks enable formation of immiscible phase-separated chromatin compartments
Authors: Li Pilong , Sun Wenjing , Wang Jiacheng , Liu Wenqian , Tang Baixue , Qu Hongyuan , Wang Jianwei , Li Haitao , Wei Xie 
Published: December 2023

Abstract
Eukaryotic chromatin is organized into compartments for gene expression regulation, but the underlying mechanisms remain unclear. Here, we demonstrate that multivalent H3K27me3 and its reader, CBX7-PRC1 complex, regulate facultative heterochromatin via a phase separation mechanism, similar to constitutive heterochromatin1. Facultative and constitutive heterochromatin represent distinct, coexisting condensates in nuclei. In vitro, H3K27me3- and H3K9me3-marked nucleosomal arrays and their reader complexes can phase separate into immiscible condensates that are analogous to the relationship between facultative and constitutive heterochromatin in vivo. Moreover, overexpression of CBX7-PRC1 causes aberrant chromatin compartmentalization in vivo as demonstrated by H3K9me3 CUT&Tag and up-regulation of genes related to cancer such as acute myeloblastic leukemia (AML). CBX7 inhibitor effectively inhibits cancer cell proliferation possibly through phase separation-mediated compartment reorganization. Our data demonstrated how the specificity of compartmentalization is achieved based on the formation of immiscible phase-separated condensates, and offer novel epigenetic mechanistic insights into tumor development.
Overexpression of foxtail millet SiAAP9 inhibits the growth of transgenic Arabidopsis determined by the expression level
Authors: Meng Ru , Li Zhi-Peng , Kang Xue-Ting , Zhang Yu-Jia , Wang Yi-Ru , Ma Yu-Chao , Wu Yan-Feng , Dong Shu-Qi , Li Xiao-Rui , Gao Lulu , Chu Xiao-Qian , Yang Guang-Hui , Yuan Xiang-Yang , Wang Jia-Gang 
Published: December 2023

Abstract
Amino acid permeases (AAPs) transporters play a vital role in facilitating the long-distance transportation of amino acids from the source to the sink in plants. Numerous studies have been conducted on Arabidopsis and rice, while the research on foxtail millet remains relatively scarce. In this study, we discovered that SiAAP9 exhibits two transcripts. The expression patterns of the two transcripts of SiAAP9 were generally consistent and both transcripts were induced by NO3-. Overexpression of SiAAP9L and SiAAP9S in Arabidopsis inhibited plant growth and seed size, however, SiAAP9 can transport more amino acids into seeds. Moreover, the sensitivity of SiAAP9-OX transgenic Arabidopsis to amino acids demonstrated that SiAAP9 is not sensitive to excessive glutamate (Glu) and histidine (His). The high expression level of SiAAP9 makes its encoded protein not only localized on the plasma membrane, but also possibly localized on various organelles. Additionally, we also observed that sequence deletion weakened the sensitivity of SiAAP9 to Brefeldin A (BFA) and SiAAP9 has ectopic localization on endoplasmic reticulum (ER). Protoplast amino acid uptake experiments indicated that SiAAP9 is capable of facilitating increased transport of Glu into foxtail millet cells. Taken together, the functions of two SiAAP9 transcripts are largely functional similar, but their subcellular localization is variation. Our research may provide a candidate gene to improve foxtail millet quality in breeding.
DEC-MVSNet: multi-view 3D reconstruction based on improved MVSNet
Authors: Li Guangchen , Li Kefeng , Zhang Guangyuan , Zhu Zhenfang , Wang Peng , wang Zhenfei , Fu Chen 
Published: December 2023

Abstract
3D reconstruction, integral to environmental perception, has seen extensive adoption across numerous domains in recent years. Notably, within multi-view 3D reconstruction, MVSNet has emerged as a standout. MVSNet has pioneered the inclusion of differentiable homography transformations within neural networks, seamlessly merging camera model transformations and facilitating end-to-end multi-view 3D reconstruction. However, MVSNet's method has average performance in feature extraction and insufficient correlation between multi-scale cost volumes, which indicates that there is potential for further improvement in 3D scene reconstruction. To solve this problem, we propose an improved reconstruction algorithm based on the MVSNet network architecture. To glean richer pixel details from images, we suggest deploying a DE module integrated with a residual framework, supplanting the prevailing feature extraction mechanism. ECA-Net and dilated convolution are used to expand the range of the receptive field without increasing the number of parameters, and feature splicing and fusion is performed through the residual structure to retain the global information of the original image. Moreover, harnessing attention mechanisms refines the 3D cost volume's regularization process, bolstering the integration of information across multi-scale feature volumes, consequently enhancing depth estimation precision. On assessing our model using the DTU dataset, findings highlight the network's 3D reconstruction scoring a completeness (comp) of 0.411mm and an overall quality of 0.418mm. This performance is higher than that of traditional methods and other deep learning-based methods. Concurrently, the visual representation of the point cloud model exhibits marked advancements. Trials on the BlendedMVS dataset signify that our network exhibits commendable generalization prowess.
Numerical Investigation of Air-Sea Coupling to the Track and Intensity of Landfalling Tropical Cyclones in the South China Sea
Authors: Chen Yonghang , Wei Yu , Zheng Yunxia , wu xianwen , Liu Qiong , Sun Linlin , Zhao Bingke , Yin Sijie , Liu Haicheng , Li Xiaoyu 
Published: December 2023

Abstract

In general, the atmosphere-ocean coupled models can improve the simulation of tropical cyclone (TC) track and intensity, but the mechanism and quantitative analysis of this improvement is still lacking in the existing literature. This study investigates how atmosphere-ocean coupling affects the simulation of eleven tropical cyclones (TCs) in the Northwestern Pacific that made landfalls in China from 2011 to 2020. We use COAWST (Coupled Ocean Atmosphere Wave Sediment Transport), an atmosphere-ocean coupled model with ROMS (Regional Ocean Modeling System) and WRF (Weather Research and Forecast) as its components, and compare it with WRF, a non-coupled atmospheric model. We apply the potential vorticity tendency (PVT) framework to analyze the coupling impact on TC tracks. We find that coupling improves the track simulation by changing the diabatic heating and the residual term in the PVT framework, while the advection terms are less important. Coupling also reduces the sea surface temperature (SST) cooling and the heat flux to the TC, leading to weaker intensity simulation. The coupled model shows significant improvement in both track and intensity errors compared with the non-coupled model. The average SST cooling, heat flux reduction, wind speed reduction, and pressure increase for the coupled model are 0.36 K, 207.52 W·m-2, 3.86 m·s-1, and 6.5 hPa, respectively, for each 1 K SST decrease. These results indicate that the ocean-atmosphere coupling can improve the simulation of typhoon track and intensity, providing some effective theoretical methods for disaster prevention and mitigation in coastal areas.
The use of a portable X-ray fluorescence spectrometer for measuring nickel in plants: sample preparation and validation
Authors: Lima Luiz Henrique Vieira , Silva Fernando Bruno Vieira da , Echevarria Guillaume , Nascimento Clístenes Williams Araújo do 
Published: December 2023

Abstract

X-ray fluorescence is a fast, costly, and eco-friendly method for elemental analyses. Portable X-ray fluorescence spectrometers (pXRF) have proven instrumental in detecting metals across diverse matrices, including plants. However, sample preparation and measurement procedures need to be standardized for each instrument. This study examined sample preparation methods and predictive capabilities for nickel (Ni) concentrations in various plants using pXRF, employing empirical calibration based on ICP-OES Ni data. The evaluation involved 300 plant samples of 14 species with varying patterns of Ni accumulation. Various dwell times (30, 60, 90, 120, 300 s) and sample masses (0.5, 1.0, 1.5, 2.0 g) were tested. Calibration models were developed through empirical and correction factor approaches. Results showed that using less than 1.0 g of sample and dwell time below 60 seconds for the study conditions led to decreased Ni detection by pXRF. Ni concentrations determined by ICP-OES were highly correlated (R² = 0.94) with those measured by the pXRF instrument. Therefore, pXRF can provide reliable detection of Ni in plant samples, avoiding the digestion of samples and reducing the decision-making time in environmental management.
Multilayer Networks in Landscape Ecology: A Case Study to assess changes in aquatic habitat connectivity for flying and non-flying benthic macroinvertebrates in a Danube floodplain
Authors: Brizuela Sonia Recinos , Funk Andrea , Tiwari Shubham , Baldan Damiano , Hein Thomas 
Published: December 2023

Abstract

Context. In efforts to mitigate anthropogenic impacts on floodplain biodiversity, restoration measures that enhance habitat connectivity have been applied. However, these approaches have either neglected the spatial position of water bodies or the dynamic nature of the floodplain ecosystem.
Objectives. This study applies the novel multilayer network approach to evaluate restoration-induced changes in aquatic habitat connectivity for benthic macroinvertebrates (BM) in Austria's Donau-Auen National Park. BM indicator groups were categorised by dispersal-related traits (flying and non-flying).
Methods. Multilayer networks were constructed for conditions before, short-term and long-term after restoration to quantify habitat connectivity across inundation frequencies. Multilayer network analyses involved multilayer correlation, monolayer, and multilayer centrality assessments. We used a Partial Least Squares Regression analysis to identify which centrality measures were better indicators of the mechanisms influencing the α and β diversity of BM.
Results. In the short-term, our results indicated increased habitat connectivity, slightly diminishing in the long term. Multilayer centralities outperformed their monolayer counterpart in explaining variations in α and β diversity for strict aquatic dispersers, while monolayer centrality measures better explained α diversity for flying dispersers.
Conclusions. This study underscores the relevance of integrating dynamic aspects of water-mediated transport beyond traditional pairwise distances. The expanding cross-disciplinary applications and open-source tool development for multilayer networks offer practical implications for planning and evaluating management measures.
Complete chloroplast genomes of three copal trees (Bursera: Bullockia): comparative analysis and phylogenetic relationships
Authors: Lorenzana Gustavo P. , Rico Yessica 
Published: December 2023

Abstract
Background
Burseratrees are conspicuous elements of the tropical dry forests in the Neotropics, which have a significant cultural value due to their fragrant resins (incense), wood sources (handcrafts), and ecological benefits. Despite its relevance, genetic resources developed for the genus are scarce.
Methods and results
We sequenced and analyzed the complete chloroplast genome structure and functional annotation of three Bursera species of the Bullockia section: Bursera cuneata, B. palmeri, and B. bipinnata. The chloroplast (Cp) genome sizes ranged from 159,824 to 159,872 bp in length, including a large single-copy (LSC) region from 87,668 to 87,656 bp, a small single-copy (SSC) from 18,581 to 18,571 bp, and two inverted repeats regions (IRa and IRb) of 26,814 bp each. The three Cp genomes consisted of 135 genes, of which 90 were functional, 37 tRNAs, and 8 rRNAs. The Cp genomes were relatively conserved, with the LSC region exhibiting the greatest nucleotide divergence (psbJ, trnQ-UCC, trnG-UCC, and petL genes), whereas few changes were observed in the IR border regions. Between 589 to 591 simple sequence repeats were identified. Phylogenetic relationships within Burseraceae for each Cp region (LSC, SSC, IRa, and IRb) using Bayesian inference confirmed that Commiphora is the sister taxa of Bursera. Only the phylogenetic trees based on the SSC and LSC regions resolved the close relationship between B. bipinnata and B. palmeri within Bursera.
Conclusion
Our work contributes to the development of Bursera's genomic resources for taxonomic, evolutionary, and ecological-genetic studies.
scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes
Authors: Gu Jin , Guo Wenbo , Li Xinqi , Wang Dongfang , Yan Nan , Hu Qifan , Yang Fan , Zhang Xuegong , Yao Jianhua 
Published: December 2023

Abstract
Understanding the heterogeneity and dynamic plasticity of tumor cells is crucial for overcoming drug resistance. Single-cell technologies enable the analysis of cell states at a given condition or time point, but it is still challenging to catenate static tumor cell snapshots to characterize their dynamic responses after drug treatment. Here, we propose scStateDynamics, an algorithm to infer tumor cell state dynamics and identify common drug effects by modeling single-cell level gene expression changes. We first demonstrate its reliability of inferring cell state dynamics on both simulated data and the data with lineage tracing information. By applying to several real tumor drug treatment datasets, we show scStateDynamics can identify more subtle cell subclusters with different drug responses beyond static transcriptome similarity. Further, scStateDynamics can also identify the common drug effects by extracting cluster-shared components from the cell-level expression changes.
Analysis of self-propulsion of alcohol droplets under the effect of surface tension differences and convection flow
Authors: Suzuki Tamako , Sawada Hideyuki 
Published: December 2023

Abstract
This study aims to control the self-propulsion of 1-pentanol droplets. When 1-pentanol droplets are dropped in an aqueous 1-pentanol solution, droplets move spontaneously. This self-propulsion is due to interfacial tension gradient caused by concentration differences. The shape of the droplet is deeply related to droplet behavior because the shape of the droplet changes the interfacial tension gradient. In this study, an exoskeleton is introduced to fix the droplet shape. In our preliminary experiments, we observed Marangoni convection in droplets dropped in exoskeleton frames with boomerang and round shapes holes. The results showed that a large surface tension difference was necessary to control the self-propulsion of 1-pentanol droplets. In this study, we prepared two exoskeletons having different holes, which have an elongated symmetrical elliptical shape and an asymmetrical shape to fix the shape of the droplet. Then, we dropped droplets into each exoskeleton, and observed the droplet behavior, Marangoni convection inside the droplet, and the convection in the aqueous phase. We found that the direction of self-propulsion of the droplet was determined by these exoskeletons, especially in the case of the asymmetrical exoskeleton, and the direction of self-propulsion was fixed in one direction. Marangoni convection was observed in the droplet from the direction of lower surface tension to that of higher surface tension. In the aqueous phase, two convections were generated from the aqueous phase to the droplet because of the diffusion of 1-pentanol. Especially, when an asymmetrical exoskeleton was used, two convections with different sizes and velocities in aqueous phase were observed. From these experimental results, the relationship between droplet behavior and convection will be discussed.
Examining the Optimum Panel Pillar Distance in Longwall Mining Considering Stress Distribution
Authors: Yetkin Mustafa Emre , Ozfirat Muharrem Kemal , Onargan Turgay 
Published: December 2023

Abstract
Longwall mining method is widely used for underground coal production in the world. Additional stresses occur surrounding the longwall during underground mining. Stresses occurring surrounding the longwall are investigated by many researchers for years. How these stresses affect longwall production, gob, main gate, tailgate and main haulage road has been always an important issue. In this study, the effect of the safety pillar left at the end of the panel on the main haulage road is investigated. For this purpose, 6 models with different pillar distances are created and the stresses occurring in the main haulage road, tailgate and main gate at different pillar distances are examined. It has been demonstrated with numerical models that the optimum pillar distance according to these stress conditions does not damage the main haulage road, tailgate and main gate. In addition, the pillar distance of 10 m gives maximum coal recovery efficiency, and it has been shown by numerical models that the stresses occurring in the main haulage road, main gate and tailgate are not damaging to these galleries.