Large language models(LLMs) have demonstrated remarkable effectiveness across various natural language processing(NLP) tasks, as evidenced by recent studies [1, 2]. However, these models often produce responses that c...
Large language models(LLMs) have demonstrated remarkable effectiveness across various natural language processing(NLP) tasks, as evidenced by recent studies [1, 2]. However, these models often produce responses that conflict with reality due to the unreliable distribution of facts within their training data, which is particularly critical for applications requiring high credibility and accuracy [3].
BaTiO_(3) (BT)-based piezoceramics with large temperature-stable strains and low hysteresis are urgently needed for high-precision actuators because of increasing environmental problems. Here, tetragonal [001]c-textur...
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BaTiO_(3) (BT)-based piezoceramics with large temperature-stable strains and low hysteresis are urgently needed for high-precision actuators because of increasing environmental problems. Here, tetragonal [001]c-textured (Ba_(0.98)Ca_(0.02))(Ti_(0.96)Sn_(0.04))O_(3) (BCTS) ceramics with a texture degree (F_(001)) of ~98% were obtained via the templated grain growth (TGG) method. A large maximum unipolar strain (S_(max)) of ~0.24% with a low strain hysteresis (Hs) of ~3.8% and an optimized piezoelectric strain coefficient (d_(33)^(*)) of ~1124 pm·V^(−1) are simultaneously achieved in the textured BCTS ceramics. Moreover, the variation in the strain response is less than 20% from room temperature (RT) to 100℃ for the textured ceramics. The underlying mechanism for the optimized strain performance could be attributed to the synergetic effect of the polarization extension and a fine domain structure. This work provides new insight for achieving a balance of multiple strain properties (large strain, low hysteresis, and high-temperature stability) in BT-based ceramics, showing the widespread application prospects of lead-free ceramics in high-precision actuators.
Most existing semi-supervised community detection algorithms leverage known communities to learn community structures, subsequently identifying communities that align with these learned community structures. However, ...
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The major criteria to distinguish conscious Artificial Intelligence (AI) and non-conscious AI is whether the conscious is from the needs. Based on this criteria, we develop ConsciousControlFlow(CCF) to show the need-b...
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Nighttime Semantic Segmentation (NSS) is essential to many cutting-edge vision applications. However, existing technologies overly rely on massive labeled data, whose annotation is time-consuming and laborious. In thi...
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The atomic structural features and the mechanical properties of the Si_(2)BC_(3)N are investigated employ-ing ab-initio *** chemical bonding types and their proportion are *** tetrahedral and trigonal configurations,t...
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The atomic structural features and the mechanical properties of the Si_(2)BC_(3)N are investigated employ-ing ab-initio *** chemical bonding types and their proportion are *** tetrahedral and trigonal configurations,together with their nesting,are identified,which contribute to the flexibil-ity of structural *** Si-related coordination aggravates the inhomogeneous distribution of chemical bonding and weakens the tetrahedral *** accompanying polyhedral distortion is quanti-tatively reflected by the bond length and its deviation of polyhedron *** elastic moduli and the ideal strengths of Si_(2)BC_(3)N are found to be lower than SiC and Si_(3)N_(4),as a result of the weakening effect of coordination Si on tetrahedral units and the existence of easily distorted *** balance between tetrahedral and trigonal features through composition tailor is believed an effective way for the design of Si-B-C-N ceramics for structural applications.
In order to solve the problem that image information is not effectively utilized because of unclear traffic video images and random jitter between image sequences, this paper has studied how to achieve stability of tr...
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With the rapid development of the Internet,a large number of private protocols emerge on the ***,some of them are constructed by attackers to avoid being analyzed,posing a threat to computer network *** blockchain use...
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With the rapid development of the Internet,a large number of private protocols emerge on the ***,some of them are constructed by attackers to avoid being analyzed,posing a threat to computer network *** blockchain uses the P2P protocol to implement various functions across the ***,the P2P protocol format of blockchain may differ from the standard format specification,which leads to sniffing tools such as Wireshark and Fiddler not being able to recognize ***,the ability to distinguish different types of unknown network protocols is vital for network *** this paper,we propose an unsupervised clustering algorithm based on maximum frequent sequences for binary protocols,which can distinguish various unknown protocols to provide support for analyzing unknown protocol *** mine the maximum frequent sequences of protocolmessage sets in *** calculate the fuzzymembership of the protocolmessage to each maximum frequent sequence,which is based on fuzzy set *** we construct the fuzzy membership vector for each protocol ***,we adopt K-means++to split different types of protocol messages into several clusters and evaluate the performance by calculating homogeneity,integrity,and Fowlkes and Mallows Index(FMI).Besides,the clustering algorithms based onNeedleman–Wunsch and the fixed-length prefix are compared with the algorithm presented in this *** with these traditional clustering methods,we demonstrate a certain improvement in the clustering performance of our work.
Cardiovascular disease remains a major issue for mortality and morbidity, making accurate classification crucial. This paper introduces a novel heart disease classification model utilizing Electrocardiogram (ECG) sign...
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Pins and jacks play a crucial role in the transmission capability and reliability of electrical connectors. Their surface coating is especially vulnerable under mechanical friction or varying temperature condition. In...
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