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381
Joint planning of energy storage site selection and line capacity expansion in distribution networks considering the volatility of new energy
Published 2024-11-01“…This technology uses CHk-means clustering calculations based on actual large-scale operation data of new energy sources to generate typical operating curves. Then, it finely constructs an objective function considering power transmission in the transmission-distribution network, abandonment of new energy, line limits, and energy storage construction. …”
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382
Stimuli Selection Criteria for the Experiment “Visual Perception of Imitative Words in Native and Non-Native Language by the Method Lexical Decision”
Published 2020-11-01“…The authors also use psycho-semantic methods such as the method of lexical decision. The main sources of stimuli selection are The Russia Etymological Dictionary by M. …”
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383
New Horizon in Selective Tocols Extraction from Deodorizer Distillates Under Mild Conditions by Using Deep Eutectic Solvents
Published 2025-03-01“…The basic principles of intermolecular interactions (H-bond, van der Walls bond, and misfit interaction) between DESs or their components with tocols are discussed to understand the mechanism by which DESs selectively extract tocols from the mixture. This is mainly observed to be a function of the intrinsic properties of DESs and/or tocols, which could be beneficial for tuning the appropriate DESs for extracting tocols selectively and effectively under mild operation conditions. …”
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384
A Susceptible Cell‐Selective Delivery (SCSD) of mRNA‐Encoded Cas13d Against Influenza Infection
Published 2025-03-01“…Given that the virus targets cells with specific receptors but is not limited to a single organ, a Susceptible Cell Selective Delivery (SCSD) system is developed by modifying a lipid nanoparticle with a peptide mimicking the function of the hemagglutinin of influenza virus to target sialic acid receptors. …”
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385
Structural and functional characterization of a porcine intestinal microbial ecosystem developed in vitro
Published 2025-07-01“…Environmental selection and bacterial functional redundancy were considered the two key elements in microbial compositional shifts and functional preservation.…”
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386
DETECTIVE STORY: TO THE PROBLEM OF VARIABILITY OF THE MAIN EVENT AND CHARACTERS (BY THE CASE OF A. SARAKHOV’S STORIES)
Published 2019-06-01“…The functionality of stereotypes of perception and «memory of the genre» is briefly presented, which manifests itself in the history of understanding a domestic detective story as a constant appeal to the foreign sources of the genre. …”
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387
Study on Point Spread Function of Perovskite Fast Neutron Scintillation Imaging Screen
Published 2025-02-01“…Additionally, the limited availability of experimental machines for fast neutron imaging and the high cost of imaging systems hinders the efficient detection of large number of materials by using common fast neutron sources. …”
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388
A powerful molecular marker to detect mutations at sorghum LOW GERMINATION STIMULANT 1
Published 2025-03-01“…The LGS1 marker is useful for both detecting sources of lgs1 and introgressing Striga resistance into new genetic backgrounds.…”
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389
Specific detection of tartaric acid chiral isomers based on centrosymmetric terahertz metamaterial sensors
Published 2025-01-01“…Traditional detection methods, such as fluorescence detection, have problems such as destructive and non-specific characters. …”
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390
The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review
Published 2023-06-01“…OSG is an effective and informative technique for early detection of bone metastases, allowing to assess the functional state of the tumor and its surrounding tissues, even before the appearance of structural disorders visible by other diagnostic methods. …”
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391
Network security traffic detection and legal supervision based on adaptive metric learning algorithm
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392
App-DDoS detection method using partial binary tree based SVM algorithm
Published 2018-03-01“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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393
The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland)
Published 2019-06-01“…Selecting Shadegan International Wetland as a case study in this research, the ecosystem services approach have been applied to ecological conditions assessment of the wetland based on biophysical structures, processes, functions and ecosystem services in a hydrological-ecological framework, which provides a valuable tool for optimal allocation of wetland resources and their effective management, as well as adopting rational and sustainable policies. 2-Materials and Methods The proposed framework can be considered as a hierarchical approach based on the characteristics of biophysical structure, functions and ecosystem services. …”
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394
Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs
Published 2023-12-01“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image
Published 2025-06-01“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. …”
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397
YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images
Published 2025-06-01“…Finally, the Variable Minimum Point Distance Intersection over Union (VMPDIoU) loss is proposed to optimize the model’s loss function. This method employs variable input parameters to directly calculate key point distances between predicted and ground-truth boxes, more accurately reflecting positional differences between detection results and reference targets, thus effectively improving the model’s mean Average Precision (mAP). …”
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398
Serum albumin nanoparticles: Ligand functionalization for enhanced targeted therapeutics in precision medicine
Published 2025-09-01“…Serum albumin-based nanoparticles, derived from bovine (BSA) and human (HSA) sources, have emerged as versatile carriers in drug delivery systems due to their intrinsic biocompatibility, biodegradability, and amenability to surface modification. …”
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Effect of Functional Galactooligosaccharide on Metabolism and Antibacterial Activity of Lactiplantibacillus plantarum ZDY2013
Published 2025-08-01“…Taken together, the functional GOS could selectively promote the metabolism of L. plantarum ZDY2013 and further inhibit B. cereus HN001 in the co-culture systems and cell model.…”
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