Recently, single atom catalysts (SACs) with isolated metal as the active site have received extensive attention for their excellent catalytic performance. However, limited by strong aggregation tendency of monometallic atoms, construction SACs remains a formidable challenge. Herein, we developed facile ternary copolymerization‐pyrolysis approach to synthesize cobalt catalyst (Co1@NC) employing amino‐functionalized phthalocyanine (CoPc(NH2)4) precursor. Specially, CoPc(NH2)4 was copolymerized...

This paper focuses on how to improve aspect-level opinion mining for online customer reviews. We first propose a novel generative topic model, the Joint Aspect/Sentiment (JAS) jointly extract aspects and aspect-dependent sentiment lexicons from An lexicon refers aspect-specific words along with their aspect-aware polarities respect specific aspect. then apply extracted series of tasks, including implicit aspect identification, aspect-based extractive summarization, classification....

The global climate and environment are undergoing rapid changes, impacting hydrological processes through shifts in patterns, escalating CO2, vegetation dynamics. Accurately predicting quantifying the contribution of these factors to water yield (WY) has become a significant challenge resource management adaptation studies. This study proposed an improved WY attribution analysis framework address impacts change, structural CO2-induced physiological change on China. During period (1982-2017),...

<sec> <title>BACKGROUND</title> With continuous advancements in medical imaging technology, head Computed Tomography (CT) has emerged as a crucial tool the management of Ischemic Stroke (IS). This study seeks to leverage AI-based radiomics forecast post-intervention intracranial hemorrhage (ICH) and collateral circulation IS patients. </sec> <title>OBJECTIVE</title> To assess predictive capabilities anticipating ICH <title>METHODS</title> A comprehensive meta-analysis was performed on...

An interfacial engineering strategy is developed for preparing POM-stabilized Ni quantum dots decorated on porous titanium mesh (POMs–Ni@PTM), which shows remarkable alkaline H 2 production, demonstrating great potential practical application.

With the rapid development of AI-generated content (AIGC), creation high-quality videos has become faster and easier, resulting in Internet being flooded with all kinds video content. However, impact these on ecosystem remains largely unexplored. Video information retrieval a fundamental approach for accessing Building observation that models often favor ad-hoc image tasks, we investigate whether similar biases emerge context challenging retrieval, where temporal visual factors may further...

Despite near-perfect results in artificial evaluations, the effectiveness of model editing real-world applications remains unexplored. To bridge this gap, we propose to study question answering (QA) by establishing a rigorous evaluation practice assess methods correcting LLMs' errors. It consists QAEdit, new benchmark derived from popular QA datasets, and standardized framework. Our single experiments indicate that current perform substantially worse than previously reported (38.5% vs....

Abstract. The rapid environmental changes, including climate change, escalating atmospheric CO2 concentration ([CO2]), and vegetation dynamics, have been significantly impacting hydrological processes. Accurately quantifying their contribution to water yield (WY) has become a significant challenge in resource management adaptation studies. Therefore, this study improved the coupled carbon (CCW) model integrating dynamic use efficiency (WUE) quantify CO2-physiological feedback; furthermore...

Information seeking is an essential step for open-domain question answering to efficiently gather evidence from a large corpus. Recently, iterative approaches have been proven be effective complex questions, by recursively retrieving new at each step. However, almost all existing use predefined strategies, either applying the same retrieval function multiple times or fixing order of different functions, which cannot fulfill diverse requirements various questions. In this paper, we propose...

The cycloaddition of CO2 with epoxides to cyclic carbonates is one the most promising and green pathways for utilization, development highly efficient catalysts remains a challenge. In this work, novel hydroxy-rich covalent organic framework (TFPB-DHBD-COF) was synthesized, it served as an heterogeneous catalyst reaction 1,2-epoxybutane under mild conditions, providing desired products in 90% conversion. abundant hydroxy groups pore channels TFPB-DHBD-COF could not only activate via hydrogen...

Visual Question Answering (VQA) is a challenging multi-modal task to answer questions about an image. Many works concentrate on how reduce language bias which makes models ignoring visual content and context. However, reducing also weakens the ability of VQA learn context prior. To address this issue, we propose novel learning strategy named CCB, forces relying Content Context with Bias. Specifically, CCB establishes branches top base model them focus local key global effective respectively....

Information retrieval aims to find information that meets users’ needs from the corpus. Different correspond different IR tasks such as document retrieval, open-domain question answering, retrieval-based dialogue, and so on, while they share same schema estimate relationship between texts. It indicates a good model can generalize domains. However, previous studies indicate state-of-the-art neural (NIR) models, e.g., pre-trained language models (PLMs) are hard generalize. is mainly because...

Due to the ability of modeling relationships between two different types entities, bipartite graphs are naturally employed in many real-world applications. Community Search is a fundamental problem and has gained much attention. However, existing studies focus on measuring structural cohesiveness sets vertices, while either completely ignoring edge attributes or only considering one-dimensional importance forming communities. In this paper, we introduce novel community model, named...

The development of efficient oxygen evolution reaction (OER) catalysts is great significance because the water oxidation at photoanode rate-determining step in photoelectrocatalytic (PEC) splitting. Herein, two hybrid photoanodes named BiVO

Sequential recommender systems stand out for their ability to capture users' dynamic interests and the patterns of item-to-item transitions. However, inherent openness sequential renders them vulnerable poisoning attacks, where fraudulent users are injected into training data manipulate learned patterns. Traditional defense strategies predominantly depend on predefined assumptions or rules extracted from specific known limiting generalizability unknown attack types. To solve above problems,...

Current natural language understanding (NLU) models have been continuously scaling up, both in terms of model size and input context, introducing more hidden neurons. While this generally improves performance on average, the extra neurons do not yield a consistent improvement for all instances. This is because some are redundant, noise mixed tends to distract model. Previous work mainly focuses extrinsically reducing low-utility by additional post- or pre-processing, such as network pruning...

Pseudo-relevance feedback (PRF) has proven to be an effective query reformulation technique improve retrieval accuracy. It aims alleviate the mismatch of linguistic expressions between a and its potential relevant documents. Existing PRF methods independently treat revised queries originating from same but using different numbers documents, resulting in severe drift. Without comparing effects two revisions query, model may incorrectly focus on additional irrelevant information increased more...

User identity linkage aims to link users with the same identities across different social networks. Recently, re- searchers model similarities of users' behaviors such as Point Interests(PoIs) or Generated Contents(UGCs) predict users. However, it is non-trivial solve problem due following challenges: 1) PoIs are always sparse in non-location-based platforms, and impractical measure solely PoIs; 2) The hierarchical from view word, phrase, sentence. How structure remains a key challenge; 3)...

Text-to-SQL is the task that aims at translating natural language questions into SQL queries. Existing methods directly align with Language and train one encoder-decoder-based model to fit all questions. However, they underestimate inherent structural characteristics of SQL, as well gap between specific structure knowledge general knowledge. This leads errors in generated SQL. To address above challenges, we propose a retrieval-argument framework, namely ReFSQL. It contains two parts,...

P2P-VoD systems have gained tremendous popularity in recent years. While existing research is mostly based on theoretical or conventional assumptions, it particularly valuable to understand and examine how these assumptions work realistic environments, so as set up a solid foundation for mechanism design optimization possibilities. In this paper, we present comprehensive measurement study of CoolFish, real-world system. Our provides several new findings which are different from the...

As concerns over data privacy intensify, unlearning in Graph Neural Networks (GNNs) has emerged as a prominent research frontier academia. This concept is pivotal enforcing the right to be forgotten, which entails selective removal of specific from trained GNNs upon user request. Our focuses on edge unlearning, process particular relevance real-world applications, owing its widespread applicability. Current state-of-the-art approaches like GNNDelete can eliminate influence edges, yet our...

Current natural language understanding (NLU) models have been continuously scaling up, both in terms of model size and input context, introducing more hidden neurons. While this generally improves performance on average, the extra neurons do not yield a consistent improvement for all instances. This is because some are redundant, noise mixed tends to distract model. Previous work mainly focuses extrinsically reducing low-utility by additional post- or pre-processing, such as network pruning...