bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction
Authors: Fowler J. Elliott , Ruggles Timothy J. , Cillessen Dale E. , Johnson Kyle L. , Jauregui Luis J. , Craig Robert L. , Bianco Nathan R. , Henriksen Amelia A. , Boyce Brad L. 
Published: June 2024

AbstractThe need to optimize the processing conditions of additively manufactured (AM) metals and alloys has driven advances in throughput capabilities for material property measurements such as tensile strength or hardness. High-throughput (HT) characterization of AM metal microstructure has fallen significantly behind the pace of property measurements due to intrinsic bottlenecks associated with the artisan and labor-intensive preparation methods required to produce highly polished surfaces. This inequality in data throughput has led to a reliance on heuristics to connect process to structure or structure to properties for AM structural materials. In this study, we show a transformative approach to achieve laser powder bed fusion (LPBF) printing, HT preparation using dry electropolishing and HT electron backscatter diffraction (EBSD). This approach was used to construct a library of > 600 experimental EBSD sample sets spanning a diverse range of LPBF process conditions for AM Kovar. This vast library is far more expansive in parameter space than most state-of-the-art studies, yet it required only approximately 10 labor hours to acquire. Build geometries, surface preparation methods, and microscopy details, as well as the entire library of >600 EBSD data sets over the two sample design versions, have been shared with intent for the materials community to leverage the data and further advance the approach. Using this library, we investigated process–structure relationships and uncovered an unexpected, strong dependence of microstructure on location within the build, when varied, using otherwise identical laser parameters.
GraphMriNet: a few-shot brain tumor MRI image classification model based on Prewitt operator and graph isomorphic network
Authors: Liao Bin , Zuo Hangxu , Yu Yang , Li Yong 
Published: June 2024

AbstractBrain tumors are regarded as one of the most lethal forms of cancer, primarily due to their heterogeneity and low survival rates. To tackle the challenge posed by brain tumor diagnostic models, which typically require extensive data for training and are often confined to a single dataset, we propose a diagnostic model based on the Prewitt operator and a graph isomorphic network. Firstly, during the graph construction stage, edge information is extracted from MRI (magnetic resonance imaging) images using the Prewitt filtering algorithm. Pixel points with a gray value intensity greater than 128 are designated as graph nodes, while the remaining pixel points are treated as edges of the graph. Secondly, the graph data is inputted into the GIN model for training, with model parameters optimized to enhance performance. Compared with existing work using small sample sizes, the GraphMriNet model has achieved classification accuracies of 100%, 100%, 100%, and 99.68% on the BMIBTD, CE-MRI, BTC-MRI, and FSB open datasets, respectively. The diagnostic accuracy has improved by 0.8% to 5.3% compared to existing research. In a few-shot scenario, GraphMriNet can accurately diagnose various types of brain tumors, providing crucial clinical guidance to assist doctors in making correct medical decisions. Additionally, the source code is available at this link: https://github.com/keepgoingzhx/GraphMriNet.
Teachers’ Formative Assessment Practices in Their Mathematics Classroom Using Learning Analytics Visualizations
Authors: Moed-Abu Raya Kholod , Olsher Shai 
Published: June 2024

AbstractThis study explores how the use of learning analytics (LA) visualizations to eliciting examples tasks (EET) on the topic of functions can shape middle school mathematics teachers’ formative assessment (FA) practices. Teachers’ practices were examined when provided with LA visualizations, offering them an interactive analysis of their students’ work. The findings showed that LA visualizations enhanced teachers’ evaluations of their students’ work, including challenges and strengths. Two key areas of FA were supported when teachers interacted with LA: designing and implementing classroom discussions and other learning activities and enhancing the quality of feedback. The patterns of use indicated that when teachers were not convinced of the data presented, they used critical thinking and accessed other reports and interactive tools to confirm their impressions.
Green human resource management and green ambidexterity innovation in the wine industry: exploring the role of green intellectual capital and top management environmental awareness
Authors: Martínez-Falcó Javier , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Zaragoza-Sáez Patrocinio 
Published: June 2024

AbstractThe present study investigates the influence of green human resource management (GHRM) on green ambidexterity innovation (GAI) within Spanish wineries, examining the mediating effect of Green Intellectual Capital (GIC) and the moderating role of Top Management Environmental Awareness (TMEA). Building on existing literature, a conceptual model was developed and tested using structural equation modeling (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023. The findings reveal a significant positive relationship between GHRM and GAI, with GIC partially mediating and TMEA positively moderating this relationship. The originality of this study lies in its empirical testing of the proposed model, addressing a previously unexplored area in the field. These results provide valuable insights for both academia and industry, highlighting the importance of integrating environmental considerations into human resource practices to foster innovation and sustainability.
Effectiveness assessment of recent large vision-language models
Authors: Jiang Yao , Yan Xinyu , Ji Ge-Peng , Fu Keren , Sun Meijun , Xiong Huan , Fan Deng-Ping , Khan Fahad Shahbaz 
Published: June 2024

AbstractThe advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks warrants further investigation. This paper endeavors to evaluate the competency of popular LVLMs in specialized and general tasks, respectively, aiming to offer a comprehensive understanding of these novel models. To gauge their effectiveness in specialized tasks, we employ six challenging tasks in three different application scenarios: natural, healthcare, and industrial. These six tasks include salient/camouflaged/transparent object detection, as well as polyp detection, skin lesion detection, and industrial anomaly detection. We examine the performance of three recent open-source LVLMs, including MiniGPT-v2, LLaVA-1.5, and Shikra, on both visual recognition and localization in these tasks. Moreover, we conduct empirical investigations utilizing the aforementioned LVLMs together with GPT-4V, assessing their multi-modal understanding capabilities in general tasks including object counting, absurd question answering, affordance reasoning, attribute recognition, and spatial relation reasoning. Our investigations reveal that these LVLMs demonstrate limited proficiency not only in specialized tasks but also in general tasks. We delve deep into this inadequacy and uncover several potential factors, including limited cognition in specialized tasks, object hallucination, text-to-image interference, and decreased robustness in complex problems. We hope that this study can provide useful insights for the future development of LVLMs, helping researchers improve LVLMs for both general and specialized applications.
Accounting for the value of ecosystem assets: from value judgments to management needs—take Yancheng City as an example
Authors: Sun Xuemin , He Shuai , Chen Shang , Li Wenwen , Jin Yuemei , Sun Xiaoping , Tang Boping 
Published: June 2024

AbstractEcosystem assets form a significant portion of natural resource assets. Accounting for natural resource assets accurately interprets the theory of 'lucid waters and lush mountains are invaluable assets'. This facilitates effective and unified management of ‘mountains, water, forests, farmlands, lakes, grasslands and desert ecosystem’ and serves as a crucial bridge from qualitative understanding to the valuation of the theory of ecosystem services and from theoretical discussion to management practice. Yancheng is the only coastal ecological wetland city with world natural heritage on China’s 10,000-mile coastline integrating three green genes and biodiversity of ocean, forest, and wetland. Yancheng, selected as a study case, is an important ecological barrier and a treasure trove of ecological resources in the eastern coastal areas of China. The ecosystem service value of Yancheng City from 2019 to 2021 was calculated respectively. The income-capitalization method was used to divide the annual ecosystem service value by the bank loan interest rate in the same period to obtain the ecosystem asset stock value of the past 3 years. The value of ecosystem services in Yancheng City are classified to three parts based on their value attributes: first, ecological products with use value attributes that have already been realized; second, the value of those with use value attributes but have not yet been realized; and third, the value of support services with nonuse value attributes. By comparing the value components of supply, regulation, and cultural ecological products in Yancheng, the intensity of existing development and the potential for future growth of Yancheng ecosystem services are assessed. The Yancheng case shows that ecosystem asset value accounting is an practical assessment tool that transitions from value judgment to service management needs, which can provide a scientific basis for ecological environment management.
Diversity of Tropical Cyclones Rapid Intensification
Authors: Peng Ke , Tian Yu‐Xun , Fang Juan , Liu Yan , Gu Jian‐Feng 
Published: June 2024

AbstractThe study investigates the rapid intensification (RI) of tropical cyclones (TCs) in the Northwestern Pacific. We found that rapid changes in the maximum wind speed (Vmax) and the minimum central pressure (Pmin) are not always concurrent. RI cases can be categorized into three types: (a) RIv, only Vmax strengthens rapidly; (b) RIp, only Pmin decreases rapidly; (c) RIpv, rapid changes in Vmax and Pmin occur concurrently. At the onset of RI, RIv‐type TCs exhibit the weakest intensity and the smallest size, with deep convection concentrated in the inner‐core region; RIp‐type TCs are characterized by the strongest cyclone intensity and the largest outer‐core size, with strong convection covering the inner‐ and outer‐core regions; RIpv‐type TCs show moderate intensity, size, and convection distribution. For RIpv, significant strengthening of wind profile is concentrated in the inner‐core region, while for RIp it is more prominent in the outer‐core.
Temporal Variability of Ventilation in the Eurasian Arctic Ocean
Authors: Gerke Lennart , Arck Yannis , Tanhua Toste 
Published: June 2024

AbstractThe Arctic Ocean plays an important role in the regulation of the earth's climate system, for instance by storing large amounts of carbon dioxide within its interior. It also plays a critical role in the global thermohaline circulation, transporting water entering from the Atlantic Ocean to the interior and initializing the southward transport of deep waters. Currently, the Arctic Ocean is undergoing rapid changes due to climate warming. The resulting consequences on ventilation patterns, however, are scarce. In this study we present transient tracer (CFC‐12 and SF6) measurements, in conjunction with dissolved oxygen concentrations, to asses ventilation and circulation changes in the Eurasian Arctic Ocean over three decades (1991–2021). We constrained transit time distributions of water masses in different areas and quantified temporal variability in ventilation. Specifically, mean ages of intermediate water layers in the Eurasian Arctic Ocean were evaluated, revealing a decrease in ventilation in each of the designated areas from 2005 to 2021. This intermediate layer (250–1,500 m) is dominated by Atlantic Water entering from the Nordic Seas. We also identify a variability in ventilation during the observation period in most regions, as the data from 1991 shows mean ages comparable to those from 2021. Only in the northern Amundsen Basin, where the Arctic Ocean Boundary Current is present at intermediate depths, the ventilation in 1991 is congruent to the one in 2005, increasing thereafter until 2021. This suggests a reduced ventilation and decrease in the strength of the Boundary Current during the last 16 years.
High Spatial Resolution in Total Water Storage Variations Inferred From GPS: Case Study in the Great Lakes Watershed, US
Authors: Zheng Shuo , Zhang Zizhan , Scanlon Bridget R. , Yan Haoming , Sun Alexander Y. , Rateb Ashraf , Li Yan 
Published: June 2024

AbstractAssessing spatiotemporal water storage variability in the Great Lakes Watershed (GLW) is critical given its transboundary status impacting both Canada and the United States. Here, we apply a novel inversion strategy to global positioning system (GPS) vertical movements to achieve high spatial resolution total water storage (TWS) variations in GLW through improved processing. The steps are composed of removing load changes driven by the lake water fluctuation by forward modeling, isolating the Great Lakes grids to solve the ill‐conditioned problem in inversion, and inverting the GPS residual series to estimate TWS variations on land (TWSGPS). The results show that the regional dense continuous GPS observation network can successfully resolve TWS on land at monthly timescales with 30–45 km spatial resolution. We also could effectively capture fine‐scale TWS features than GRACE/GFO mascon products. GRACE/GFO satellites largely underestimate seasonal and long‐term TWS spatial fluctuations, but their temporal patterns coincide with those from GPS. The average annual amplitude of TWSGPS on land reaches 82.0 mm, greatly exceeding estimates from GRACE/GFO (∼48.0 mm) and composite hydrological model outputs (∼62.0 mm). The seasonal groundwater fluctuations inferred from GPS have peak‐to‐peak amplitudes of ∼40 km3 with the maximum around September. This coincides with that from GRACE/GFO. However, the magnitudes and phases of groundwater storage from GPS vary markedly among the subbasins in GLW, and the different snow and soil moisture amounts measured in each subbasin cause discrepancies among these GPS estimates. This study shows the value of GPS data in spatially downscaling GRACE/GFO data and providing high‐resolution output at spatiotemporal scales with low latency.
What Drove the Carrington Event? An Analysis of Currents and Geospace Regions
Authors: Thomas Dean , Weigel Robert S. , Pulkkinen Antti , Schuck Peter W. , Welling Daniel T. , Ngwira Chigomezyo M. 
Published: June 2024

AbstractThe 1859 Carrington event is the most intense geomagnetic storm in recorded history, and the literature provides numerous explanations for what drove the negative H perturbation on the Earth. There is debate on what dominated the event. Our analysis shows a combination of causes of similar orders of magnitude. Previous analyses generally rely upon the observed H perturbation at Colaba, India; historic newspaper reports; and empirical models. We expand the analysis using two Space Weather Modeling Framework simulations to examine what drove the event. We compute contributions from currents and geospace regions to the northward B field on Earth's surface, BN. We examine magnetospheric currents parallel and perpendicular to the local B field, ionospheric currents, and gap region field–aligned currents (FACs). We also evaluate contributions from the magnetosheath, near–Earth, and neutral sheet regions. A combination of currents and geospace regions significantly contribute to BN on the Earth's surface, changing as the storm evolves. At storm onset, magnetospheric currents and gap–region FACs dominate in the equatorial region. At auroral latitudes, gap–region FACs and ionospheric currents are the largest contributors. At storm peak, azimuthal magnetospheric currents and gap–region FACs dominate at equatorial latitudes. Gap–region FACs and ionospheric currents dominate in the auroral zone, down to mid‐latitudes. Both the magnetosheath and FACs contribute at storm peak, but are less significant than that from the near–Earth ring current. During recovery, the near–Earth ring current is the largest contributor at equatorial latitudes. Ionospheric currents and gap–region FACs dominate in the auroral zone.
The Seasonal Effect of Coastal Current and Upwelling on the Dynamics of Dissolved Organic Matter in the Northwestern South China Sea
Authors: Lu Xuan , Lao Qibin , Wang Chao , Chen Fajin , Cai Shangjun , Liu Sihai 
Published: June 2024

AbstractPrevious studies have primarily focused on the impact of human activities on coastal dissolved organic matter (DOM) cycles, while neglecting the role of dynamic processes. This limits our comprehensive understanding of the dynamic processes of coastal DOM, particularly in coastal waters affected by multiple dynamic processes. In this study, the dynamics of DOM in the northwestern South China Sea (SCS) were investigated using DOM‐related parameters and a three end‐member mixing model, which accounted for the effects of coastal currents and upwelling during the spring, summer, and winter seasons. Our results demonstrated that the net addition of DOM was predominantly observed in the nearshore during all seasons, owing to strong coastal currents that induced phytoplankton production and particle desorption. However, owing to weaker coastal currents and upwelling in spring and winter, DOM removal induced by decomposition was observed in the western offshore area. This observation can be attributed to the abundance of microorganisms in spring and increased vertical water mixing in winter. Conversely, in summer, stronger upwelling provided more bio‐refractory DOM, limiting its decomposition, whereas stronger coastal currents stimulated productivity and particle desorption, resulting in the net addition of DOM during this period. In the eastern offshore area, DOM decomposition was the primary mechanism for eliminating DOM owing to weak or absent coastal currents and upwelling. Our study revealed that DOM decomposition is widespread in the coastal regions of the northwestern SCS and that stronger coastal currents and upwelling facilitate the net addition of DOM.
The landscape of RNA-chromatin interaction reveals small non-coding RNAs as essential mediators of leukemia maintenance
Authors: Yun Haiyang , Zoller Julian , Zhou Fengbiao , Rohde Christian , Liu Yi , Blank Maximilian Felix , Göllner Stefanie , Müller-Tidow Carsten 
Published: June 2024

AbstractRNA constitutes a large fraction of chromatin. Spatial distribution and functional relevance of most of RNA-chromatin interactions remain unknown. We established a landscape analysis of RNA-chromatin interactions in human acute myeloid leukemia (AML). In total more than 50 million interactions were captured in an AML cell line. Protein-coding mRNAs and long non-coding RNAs exhibited a substantial number of interactions with chromatin in cis suggesting transcriptional activity. In contrast, small nucleolar RNAs (snoRNAs) and small nuclear RNAs (snRNAs) associated with chromatin predominantly in trans suggesting chromatin specific functions. Of note, snoRNA-chromatin interaction was associated with chromatin modifications and occurred independently of the classical snoRNA-RNP complex. Two C/D box snoRNAs, namely SNORD118 and SNORD3A, displayed high frequency of trans-association with chromatin. The transcription of SNORD118 and SNORD3A was increased upon leukemia transformation and enriched in leukemia stem cells, but decreased during myeloid differentiation. Suppression of SNORD118 and SNORD3A impaired leukemia cell proliferation and colony forming capacity in AML cell lines and primary patient samples. Notably, this effect was leukemia specific with less impact on healthy CD34+ hematopoietic stem and progenitor cells. These findings highlight the functional importance of chromatin-associated RNAs overall and in particular of SNORD118 and SNORD3A in maintaining leukemia propagation.
ADT-OH exhibits anti-metastatic activity on triple-negative breast cancer by combinatorial targeting of autophagy and mitochondrial fission
Authors: Yu Shihui , Cao Zhiting , Cai Fangfang , Yao Yingying , Chang Xiaoyao , Wang Xiaoyang , Zhuang Hongqin , Hua Zi-Chun 
Published: June 2024

AbstractHigh basal autophagy and enhanced mitochondrial fission in triple-negative breast cancer (TNBC) cells support cell migration and promote plasticity of cancer cell metabolism. Here, we suggest a novel combination therapy approach for the treatment of TNBC that targets Drp1-mediated mitochondrial fission and autophagy pathways. Hydrogen sulfide (H2S) mediates a myriad of biological processes, including autophagy and mitochondrial function. In this study, we demonstrated that 5-(4-hydroxyphenyl)-3H-1,2-dithiole-3-thione (ADT-OH), one of the most widely utilized sustained-release H2S donors, effectively suppresses metastasis of TNBC cells in the absence of proliferation inhibition in vitro and in vivo. ADT-OH treatment ameliorated autophagy flux by suppressing autophagosome formation and induced mitochondrial elongation through decreasing expression of dynamin-related protein 1 (Drp1) and increasing expression of mitochondrial fusion protein (Mfn2). At the same time, ADT-OH downregulated mitophagy flux and inhibited mitochondrial function, eventually leading to the inhibition of migration and invasion in TNBC cells. In vivo, intraperitoneal administration of ADT-OH revealed a potent anti-metastatic activity in three different animal models, the MDA-MB-231 orthotopic xenograft model, the 4T1-Luci orthotopic model and the 4T1-Luci tail vein metastasis model. However, ADT-OH has an extremely low water solubility, which is a significant barrier to its effectiveness. Thus, we demonstrated that the solubility of ADT-OH in water can be improved significantly by absorption with hydroxypropyl-β-cyclodextrin (CD). Remarkably, the obtained CD-ADT-OH demonstrated superior anti-cancer effect to ADT-OH in vivo. Altogether, this study describes a novel regulator of mammalian mitochondrial fission and autophagy, with potential utility as an experimental therapeutic agent for metastatic TNBC.