bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contributions of distemper control and habitat expansion to the Amur leopard viability
Authors: Wang Dawei , Accatino Francesco , Smith James L. D. , Wang Tianming 
Published: October 2022

AbstractThe Amur leopard (Panthera pardus orientalis) is a critically endangered top predator that struggles on the brink of extinction due to threats such as canine distemper virus (CDV), habitat loss, and inbreeding depression. Here we develop a viability analysis metamodel that combines a traditional individual-based demographic model with an epidemiological model to assess the benefits of alternative population management actions in response to multiple distinct threats. Our results showed an extinction risk of 10.3%-99.9% if no management actions were taken over 100 years under different levels of inbreeding depression. Reducing the risk of CDV infection in Amur leopards through the low-coverage vaccination of leopards and the management of sympatric domestic dogs could effectively improve the survival probability of the leopard population, and with habitat expansion added to these management measures, the population expanded further. Our findings highlight that protecting the Amur leopard necessitates a multifaceted synergistic effort, and controlling multiple threats together may significantly escalate overall viability of a species, especially for small-isolated threatened population. More broadly, our modeling framework could offer critical perspectives and scientific support for conservation planning, as well as specific adaptive management actions for endangered species around the world.
Paraquat is an agonist of STIM1 and increases intracellular calcium levels
Authors: Yang Wenyu , Tian Rui , Zhu Yong , Huang Peijie , Ma Xinrun , Meng Xiaoxiao , Dai Wentao , Tao Yiming , Chen Daonan , Zhang Jiaxiang , Lu Jian , Xie Hui , Jian Xiangdong , Yang Zhengfeng , Wang Ruilan 
Published: October 2022

AbstractParaquat (PQ) is an efficient herbicide but leads to high mortality with no antidote in mammals. PQ produces reactive oxygen species (ROS), leading to epithelial-mesenchymal transition (EMT) for pulmonary fibrosis in type II alveolar (AT II) cells. Intriguingly, strategies reducing ROS exhibit limited therapeutic effects, indicating other targets existing for PQ toxicity. Herein we report that PQ is also an agonist for STIM1 that increases intracellular calcium levels. Particularly, PQ promotes STIM1 puncta formation and association with TRPC1 or ORAI for extracellular calcium entry and thus intracellular calcium influx. Further studies reveal the importance of P584&Y586 residues in STIM1 for PQ association that facilitates STIM1 binding to TRPC1. Consequently, the STIM1-TRPC1 route facilitates PQ-induced EMT for pulmonary fibrosis as well as cell death. Our results demonstrate that PQ is an agonist of STIM1 that induces extracellular calcium entry, increases intracellular calcium levels, and thus promotes EMT in AT II cells.
South African Lagerstätte reveals middle Permian Gondwanan lakeshore ecosystem in exquisite detail
Authors: Prevec Rosemary , Nel André , Day Michael O. , Muir Robert A. , Matiwane Aviwe , Kirkaldy Abigail P. , Moyo Sydney , Staniczek Arnold , Cariglino Bárbara , Maseko Zolile , Kom Nokuthula , Rubidge Bruce S. , Garrouste Romain , Holland Alexandra , Barber-James Helen M. 
Published: October 2022

AbstractContinental ecosystems of the middle Permian Period (273–259 million years ago) are poorly understood. In South Africa, the vertebrate fossil record is well documented for this time interval, but the plants and insects are virtually unknown, and are rare globally. This scarcity of data has hampered studies of the evolution and diversification of life, and has precluded detailed reconstructions and analyses of ecosystems of this critical period in Earth’s history. Here we introduce a new locality in the southern Karoo Basin that is producing exceptionally well-preserved and abundant fossils of novel freshwater and terrestrial insects, arachnids, and plants. Within a robust regional geochronological, geological and biostratigraphic context, this Konservat- and Konzentrat-Lagerstätte offers a unique opportunity for the study and reconstruction of a southern Gondwanan deltaic ecosystem that thrived 266–268 million years ago, and will serve as a high-resolution ecological baseline towards a better understanding of Permian extinction events.
Cortical gradient of a human functional similarity network captured by the geometry of cytoarchitectonic organization
Authors: Meng Yao , Yang Siqi , Xiao Jinming , Lu Yaxin , Li Jiao , Chen Huafu , Liao Wei 
Published: October 2022

AbstractMapping the functional topology from a multifaceted perspective and relating it to underlying cross-scale structural principles is crucial for understanding the structural-functional relationships of the cerebral cortex. Previous works have described a sensory-association gradient axis in terms of coupling relationships between structure and function, but largely based on single specific feature, and the mesoscopic underpinnings are rarely determined. Here we show a gradient pattern encoded in a functional similarity network based on data from Human Connectome Project and further link it to cytoarchitectonic organizing principles. The spatial distribution of the primary gradient follows an inferior-anterior to superior-posterior axis. The primary gradient demonstrates converging relationships with layer-specific microscopic gene expression and mesoscopic cortical layer thickness, and is captured by the geometric representation of a myelo- and cyto-architecture based laminar differentiation theorem, involving a dual origin theory. Together, these findings provide a gradient, which describes the functional topology, and more importantly, linking the macroscale functional landscape with mesoscale laminar differentiation principles.
Effect of dilute impurities on short graphene Josephson junctions
Authors: Pellegrino Francesco M. D. , Falci Giuseppe , Paladino Elisabetta 
Published: October 2022

AbstractDespite the structural simplicity of graphene, its mechanical and electronic remarkable properties make this material a credible starting point for new technologies across a wide range of fields. The recent realizations of graphene-based hybrid systems, such as Josephson junctions, make graphene a promising a platform for new generations of devices for topological quantum computing and quantum sensing. To this aim, accurate control of the electronic properties of graphene Josephson junctions in the presence of disorder is essential. Here, we study the effect of a dilute homogeneous spatial distribution of non-magnetic impurities on the equilibrium supercurrent sustained by a ballistic graphene Josephson junction in the short junction limit. Within the Dirac-Bogoliubov-de Gennes approach and modeling impurities by the Anderson model we derive the supercurrent and its equilibrium power spectrum. We find a modification of the current-phase relation with a reduction of the skewness induced by disorder, and a nonmonotonic temperature dependence of the critical current. The potentialities of the supercurrent power spectrum for accurate spectroscopy of the hybridized Andreev bound states-impurities spectrum are highlighted. In the low temperature limit, the supercurrent zero frequency thermal noise directly probes the spectral function at the Fermi energy.
Reversal of anomalous Hall conductivity by perpendicular electric field in 2D WSe2/VSe2 heterostructure
Authors: Marfoua Brahim , Hong Jisang 
Published: October 2022

AbstractAnomalous Hall conductivity (AHC) and valley polarization are attracting tremendous interest in spintronics and valleytronics technologies. Here, we investigate the possibility of the electric field induced switching of the AHC and magnetic proximity effect induced valley polarization in the two-dimensional (2D) WSe2/1T-VSe2 heterostructure. Due to the small total energy difference, two stackings could happen (C-I and C-II). The WSe2 layer has a valley polarization of -19 meV in the C-II stacking, and it is further increased up to -28 meV under electric fields. Also, we obtain an AHC of 75 (80) S/cm in the C-I (II) stacking. We find a sign change from positive AHC to negative value under the electric field in hole doping of the C-II stacking. We attribute this reversal of the AHC to the electric field dependent Berry curvature variation. Our finding suggests that the electric field induced AHC switching can be possible in the 2D heterostructure.
Extracellular matrix-inspired hydrogel of hyaluronan and gelatin crosslinked via a Link module with a transglutaminase reactive sequence
Authors: Okawa Masashi , Tanabe Aki , Ohta Seiichi , Nagatoishi Satoru , Tsumoto Kouhei , Ito Taichi 
Published: October 2022

AbstractThe extracellular matrix (ECM) is a natural scaffold of cells in the body. It has a complex structure comprising various proteins, such as collagen and hyaladherins, and polysaccharides such as hyaluronan (HA). Here, inspired by the crosslinked ECM structure, we design a genetically engineered Link module—LinkCFQ—by fusing a microbial transglutaminase (MTG)-reactive tag to the Link module, an HA-binding domain of tumor necrosis factor-stimulated gene-6. Although the HA-specific binding property of the Link module is preserved, LinkCFQ demonstrates excellent MTG reactivity with various proteins. Furthermore, an ECM-inspired hydrogel is fabricated from an HA–gelatin mixture crosslinked via HA/Link module interaction and MTG-catalyzed isopeptide bond formation in LinkCFQ. Cell culture and mouse experiments confirm the hydrogel’s biocompatibility and degradability. Our findings provide insights into the design of biomaterials and proteins for tissue engineering, regenerative medicine, drug discovery and delivery, disease models, biofabrication, and medical devices.
The impact of faulting complexity and type on earthquake rupture dynamics
Authors: Zaccagnino Davide , Doglioni Carlo 
Published: October 2022

AbstractThe statistical properties of seismicity are known to be affected by several factors such as the rheological parameters of rocks. We analysed the earthquake double-couple as a function of the faulting type. Here we show that it impacts the moment tensors of earthquakes: thrust-faulting events are characterized by higher double-couple components with respect to strike-slip- and normal-faulting earthquakes. Our results are coherent with the stress dependence of the scaling exponent of the Gutenberg-Richter law, which is anticorrelated to the double-couple. We suggest that the structural and tectonic control of seismicity may have its origin in the complexity of the seismogenic source marked by the width of the cataclastic damage zone and by the slip of different fault planes during the same seismic event; the sharper and concentrated the slip as along faults, the higher the double-couple. This phenomenon may introduce bias in magnitude estimation, with possible impact on seismic forecasting.
Single-cell Raman-activated sorting and cultivation (scRACS-Culture) for assessing and mining in situ phosphate-solubilizing microbes from nature
Authors: Jing Xiaoyan , Gong Yanhai , Pan Huihui , Meng Yu , Ren Yishang , Diao Zhidian , Mu Runzhi , Xu Teng , Zhang Jia , Ji Yuetong , Li Yuandong , Wang Chen , Qu Lingyun , Cui Li , Ma Bo , Xu Jian 
Published: October 2022

Abstract
Due to the challenges in detecting in situ activity and cultivating the not-yet-cultured, functional assessment and mining of living microbes from nature has typically followed a ‘culture-first’ paradigm. Here, employing phosphate-solubilizing microbes (PSM) as model, we introduce a ‘screen-first’ strategy that is underpinned by a precisely one-cell-resolution, complete workflow of single-cell Raman-activated Sorting and Cultivation (scRACS-Culture). Directly from domestic sewage, individual cells were screened for in-situ organic-phosphate-solubilizing activity via D2O intake rate, sorted by the function via Raman-activated Gravity-driven Encapsulation (RAGE), and then cultivated from precisely one cell. By scRACS-Culture, pure cultures of strong organic PSM including Comamonas spp., Acinetobacter spp., Enterobacter spp. and Citrobacter spp., were derived, whose phosphate-solubilizing activities in situ are 90–200% higher than in pure culture, underscoring the importance of ‘screen-first’ strategy. Moreover, employing scRACS-Seq for post-RACS cells that remain uncultured, we discovered a previously unknown, low-abundance, strong organic-PSM of Cutibacterium spp. that employs secretary metallophosphoesterase (MPP), cell-wall-anchored 5′-nucleotidase (encoded by ushA) and periplasmic-membrane located PstSCAB-PhoU transporter system for efficient solubilization and scavenging of extracellular phosphate in sewage. Therefore, scRACS-Culture and scRACS-Seq provide an in situ function-based, ‘screen-first’ approach for assessing and mining microbes directly from the environment.
Bi‐level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems
Authors: Ranjbar Hossein , Saber Hossein , Sharifzadeh Mahdi 
Published: October 2022

AbstractThis paper presents a novel stochastic planning framework for the integration of renewable distributed energy resources (DERs) into existing power systems without relying on new investments in the transmission networks. The upper‐level problem of the proposed model aims at minimizing the total expected social cost of supplying demand that includes the expected cost of getting energy from conventional generating units and DERs, the congestion cost of transmission networks, and the greenhouse gas (GHG) emission cost, while each of the privately invested DER satisfies a specified rate of return. The lower‐level problem clears the electricity market to find locational marginal prices (LMPs) and operation status of the system. The proposed framework is formulated as a bi‐level optimization problem that is recast as a single‐level problem using the duality technique. The non‐linear terms are then linearized using the “bigM” method and the complementary slackness conditions. The uncertainties in the power production of renewable resources and the future electric loads are captured using the scenario technique in which the copula method is employed for considering the correlation between uncertainties. Finally, the effectiveness and applicability of the proposed method are validated on a 3‐bus test system and the modified IEEE RTS 24‐bus system.
Optimal demand response programs selection using CNN‐LSTM algorithm with big data analysis of load curves
Authors: Alikhani Majid , Moghaddam Mohsen Parsa , Moazzen Farid 
Published: October 2022

AbstractOne of the problems in implementing DRPs is the lack of sufficient understanding of consumers’ behaviour when implementing DRPs. This paper compares consumers’ load patterns annually by the improved Weighted Fuzzy Average (WFA) K‐means clustering method. According to the collected data, DRPs are discussed annually using a combined Convolutional Neural Network (CNN) and Long Short‐Term Memory (LSTM). To make CNN‐LSTM a practical algorithm for executing DRPs, Time Series Prediction (TSP) operations must be performed, and input data must be memorized. Finally, according to the TSP done for the obtained data, the implementation of DRPs in practice is facilitated. Then, the DRPs executed with the Deep Learning (DL) model and the power model will be prioritized by Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method, and decision indicators will be determined and weighted using the Shannon entropy method. The numerical studies section shows that the CNN‐LSTM algorithm is able to simulate DRPs with the Mean Absolute Percentage Error (MAPE) almost below 1% in the residential cluster and the highest MAPE in the commercial cluster of 15%. Nevertheless, this algorithm could easily give the same answer as the DRPs power model in the optimal selection of programs.
Open‐circuit submodule fault diagnosis in MMCs using support vector machines
Authors: Mohammadhassani Ardavan , Mehrizi‐Sani Ali 
Published: October 2022

AbstractSeries connection of semiconductor submodules (SM) in a modular multilevel converter (MMC) makes the MMC prone to open‐circuit (OC) IGBT failures inside SMs. If left undetected, these faults degrade the operation of the MMC and lead to its instability. This article proposes a method to detect, localise, and classify single OC SM faults in an MMC using support vector machines (SVM) trained with data obtained from the capacitor voltage balancing block of the MMC control system. The proposed method relies on data extracted from the sorted capacitor voltage arrays of the upper and lower phase arms. Therefore, it does not require extra measurements and hardware. Additionally, it offers a fixed time for detecting and localising OC SM faults. This method is easy to implement as SVM has a simple decision function. Time‐domain simulation case studies are performed on a three‐phase nine‐level MMC to evaluate the performance of the proposed method.
Investigation on gas generation characteristics in transformer oil under vibration
Authors: Guo Chong , Zhang Qiaogen , Zhang Rui , He Xiaohui , Wu Zhicheng , Wen Tao 
Published: October 2022

AbstractOperating experience has shown that characteristic gases can be found in oil‐immersed power transformers and high‐voltage reactors under strong vibration without discharge or thermal faults occurring. This will cause misdiagnosis of Dissolved Gases Analysis (DGA). In this study, generation characteristics and mechanism of characteristic gases in transformer oil dependent on vibration are investigated. The results show that there is a vibration pressure threshold that makes characteristic gases such as hydrogen (H2), methane (CH4), ethylene (C2H4), ethane (C2H6), and acetylene (C2H2) appear in transformer oil. The concentration of each characteristic gas increases with the increase of vibration pressure. Furthermore, misdiagnosis of insulation status which may be caused by vibration is illustrated based on Duval triangles method. Besides, vibration bubbling phenomenon in the experiment is observed. The generation mechanism of characteristic gases is analyzed with bubble dynamics under vibration. Higher vibration pressure induces cavitation processes and creates local thermal effects, which is the main reason for the generation of characteristic gases. A method based on combination of Duval triangle 1 and assistant triangle is proposed to distinguish characteristic gases generated by vibration from those generated by discharge and thermal faults. The results may provide theoretical support for fault identification and insulation state assessment of oil‐immersed power transformers and high‐voltage reactors.
Short‐term passenger flow prediction for rail transit based on improved particle swarm optimization algorithm
Authors: Lai Yuan‐wen , Wang Yang 
Published: October 2022

AbstractThe subjectivity of selecting training parameters is an important factor affecting the accuracy of short‐term passenger flow prediction of rail transit by long short‐term memory (LSTM) neural network. In order to improve the prediction accuracy, an improved particle swarm optimization (IPSO) algorithm is proposed to optimize the LSTM. The size of the learning factor of the particle swarm optimization (PSO) algorithm is controlled by dynamic adjustment method to improve the global optimization and convergence ability of the algorithm. The number of hidden layer nodes, learning rate and iteration times of the LSTM are optimized by IPSO. The passenger flow data of Dongjiekou station of Fuzhou Metro Line 1 are selected for verification, and the proposed model is compared with the traditional prediction model. The results show that the LSTM optimized by the improved particle swarm optimization algorithm can effectively predict the short‐term passenger flow of rail transit. Compared with the PSO‐LSTM model, the root mean square error predicted by the IPSO‐LSTM model decreases by 10.87% in the peak period and by 26% in the off‐peak period. The results can provide theoretical and technical support for the optimization of rail transit operation scheme.
Recent Progress towards the Transition-Metal-Catalyzed Dearomatizing Spirocyclization Reactions of Indolyl Ynones
Authors: Shen Wen-Bo , Wei Kua-Fei , Jiang Xiao-Lei , Ru Guang-Xin , Zhu Xiu-Hong 
Published: October 2022

AbstractDearomatizing spirocyclization reactions are very appealing synthetic strategies to generate functionalized three-dimensional scaffolds from simple two-dimensional precursors. Recently, the field of transition-metal-catalyzed dearomatizing spirocyclization reactions of indolyl ynones has burgeoned, as the construction of synthetically challenging quaternary spirocyclic carbons is easily achieved. In this review, we introduce an overview of advances in the transition-metal-catalyzed dearomatizing spirocyclization reactions of indolyl ynones, with the reactions being categorized according to type of catalyst.
International business research: The real challenges are data and theory
Authors: Hennart Jean-François , Sutherland Dylan 
Published: October 2022

AbstractWe agree with Aguinis and Gabriel that, contrary to Eden and Nielsen, international business (IB) is not uniquely complex, but argue that it faces two unique challenges. First, because it deals with cross-country phenomena, IB data are less plentiful and reliable. Second, because IB uses many imported theories, and they tend to be influenced by the national environment of their authors, they often have, taken as is, limited applicability in many of the contexts IB studies. We illustrate our twin points by examining the secondary data used in IB to measure the economic activities of multinational enterprises outside their home country, both at the country level, using foreign direct investment (FDI) data from balance of payments statistics, and at the firm level, using firm-level databases such as Orbis. We document the serious shortcomings of FDI data and the problems encountered in using firm-level data. We then highlight some of the cultural biases inherent in Williamson’s version of transaction cost theory (TCT) but show how they can be overcome to arrive at a richer and more general theory that is applicable to a wider variety of contexts.
Hybrid narrative in Yoshimoto Banana’s Kitchen
Authors: Hang Dao Thi Thu , Bac Le Huy , Phuong Le Nguyen , Ha Pham Thi 
Published: October 2022

AbstractThe quality of impermanence between traditionalism and postmodernism gave birth to Banana’s unique “hybrid narrative”. There, people are caught between traditional values and the attraction of the postmodern lifestyle. Banana’s character loves the kitchen and has a traditional belief in ghosts but is also openly LGBT-identifying—a challenge to modern binarism that is ready to confront random postmodern disasters. The character tries to escape but still seems to be stuck in the same place. This is similar to the situation that young Japanese have to face. In the eternal struggle of life, they need to be honest, live according to their own personal values and, more importantly, always show a willingness to help others with the most practical actions. Observing the world as a whole, Banana’s novels and short stories are simultaneously new and old, and readers today are eager for her stories.