In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries annotate resources with concepts and relations from explicitly defined formal ontologies. This kind of annotation is usually done manually or semi-automatically. this paper, we explore complement approach that focuses "social annotations web" which are made by normal users without pre-defined ontology. Compared annotations, although social coarse-grained, informal vague, they also more...

As a nature-based and cost-effective solution, forestation plays crucial role in combating global warming, biodiversity collapse, environmental degradation, well-being. Although China is acknowledged as leader of has achieved considerable overall success improvements through mega-forestation programs, many negative effects have also emerged at local scales due to the planting maladapted tree species. To better help achieve carbon neutrality new vision an ecological civilization, committed...

In this paper, we present a large scale unlabeled person re-identification (Re-ID) dataset "LUPerson" and make the first attempt of performing unsupervised pre-training for improving generalization ability learned Re-ID feature representation. This is to address problem that all existing datasets are limited due costly effort required data annotation. Previous research tries leverage models pre-trained on ImageNet mitigate shortage but suffers from domain gap between data. LUPerson an 4M...

Ensemble forecasting is advocated as a way of reducing uncertainty in species distribution modeling (SDM). This because it expected to balance accuracy and robustness SDM models. However, there are little available data regarding the spatial similarity combined maps generated by different consensus approaches. Here, using eight niche-based models, nine split-sample calibration bouts (or random model-training subsets), climate change scenarios, distributions 32 forest tree China were...

In recent years, e-sports has rapidly developed, and the industry produced large amounts of data with specifications, these are easily to be obtained. Due above characteristics, mining deep learning methods can used guide players develop appropriate strategies win games. As one world's most famous events, Dota2 a audience base good game system. A victory in is often associated hero's match, unable pick best lineup compete. To solve this problem, paper, we present an improved bidirectional...

This paper is concerned with self-supervised learning for small models. The problem motivated by our empirical studies that while the widely used contrastive method has shown great progress on large model training, it does not work well To address this problem, we propose a new paradigm, named SElf-SupErvised Distillation (SEED), where leverage larger network (as Teacher) to transfer its representational knowledge into smaller architecture Student) in fashion. Instead of directly from...

Water quality assessment is an increasingly important area in environmental study. Assessment of water can be a process include multiple factors which causing influence on quality. Researchers have developed many evaluation indices In order to display the results more intuitively. index has been fields sustainable management. This research based papers published 20 years from web science, analyzed data by using CiteSpace 5.0. The result shows direction, frontiers and hotspots index. Research...

Random forests (RF) is a powerful species distribution model (SDM) algorithm. This ensemble by default can produce categorical and numerical maps based on its classification tree (CT) regression (RT) algorithms, respectively. The CT algorithm also predictions (class probability). Here, we present detailed procedure involving the use of RT algorithms using RF method with presence-only data to species. are used generate prediction maps, then converted binary through objective threshold-setting...

An agent-based travel demand model is developed in which emerges from the interactions of three types agents transportation system: node, are, and traveler. Simple local rules agent behaviors are shown to be capable efficiently solving complicated problems such as trip distribution traffic assignment. A unique feature that it explicitly models goal, knowledge, searching behavior, learning ability related agents. The proposed distributes trips origins destinations a disaggregate manner does...

Cloud computing can provide a more cost-effective way to deploy scientific workflows than traditional distributed environments such as cluster and grid. Due the large size of datasets, data placement plays an important role in cloud workflow systems for improving system performance reducing transfer cost. Traditional task-level strategy only considers shared datasets within individual reduce However, it is obvious that not necessarily good enough situation multiple at level. In this paper,...

Rapid changes in global climate exert tremendous pressure on forest ecosystems. Cinnamomum camphora (L.) Presl is a multi-functional tree species, and its distribution growth are also affected by warming. In order to realize economic value ecological function, it necessary explore the impact of change suitable habitats under different scenarios. this experiment, 181 geographical data were collected, MaxEnt algorithm was used predict habitats. To complete simulation, we selected two...

Hylomecon japonica is considered a natural medicinal plant with anti-inflammatory, anticancer and antibacterial activity. The assessment of climate change impact on its habitat suitability important for the wild cultivation standardized planting H. japonica. In this study, maximum entropy model (Maxent) geographic information system (ArcGIS) were applied to predict current future distribution species, contributions variables evaluated by using jackknife test. area under receiver operating...

To investigate the effects of bulk-fill, resin-based composite types (high or low viscosity) on internal adaptation Class V restorations. Experimental study. Place and Duration Study: Hefei Stomatological Hospital, Hefei, China, from October 2022 to December 2023. A total 140 extracted human premolars were collected. cavities prepared buccal surface each tooth, which was randomly divided into seven groups (n = 20). Cavities restored by two low-viscosity three high-viscosity bulk-fill...

Current LLM-based approaches improve question answering performance by leveraging the internal reasoning abilities of models or incorporating external knowledge. However, when humans address professional problems, it is essential to explicitly analyze multifaceted relationships from multiple pieces and diverse sources evidence achieve better answers. In this study, we propose a novel generative framework for biomedical domain, named EvidenceMap, which learns incorporates analysis with small...

Acetaminophen (APAP) is the most commonly used mild analgesic and antipyretic drug worldwide. Its overdoses account for 46% of all acute liver failures in USA 40–70% Europe. However, only approved pharmacological treatment antioxidant N-acetylcysteine (NAC), but it does not work well with advanced injury or administrates at later stage. Here, we found that a moderate intensity static magnetic field (SMF) can reduce mice death rate high-dose APAP from 40% to 0%, works both earlier stage...

The ever-increasing quantities of structured knowledge on the Web and impending need multilinguality cross-linguality for information access pose new challenges but at same time open up opportunities extraction research. In this regard, cross-lingual semantic annotation has emerged as a topic major interest it is essential to build tools that can link words phrases in unstructured text one language resources bases any other language. paper, we demonstrate X-LiSA, an infrastructure...

With the expansion of pure forest planting area and increase in number rotations used, soil activity plant productivity have significantly reduced. The functional diversity microorganisms plays a vital role health long-term maintenance productivity. Though optimization cutting regeneration methodologies is necessary to improve microorganisms, effects harvest residual treatment on remain unclear. During period 2018–2020, we designed four treatments—reference (RF), burning (RB), crushing...

Vehicle ad-hoc networks have developed rapidly these years, whose security and privacy issues are always concerned widely. In spite of a remarkable research on their solutions, but in which there still lacks considerations how to secure vehicle-to-vehicle communications, particularly when infrastructure is unavailable. this paper, we propose lightweight certificateless one-round key agreement scheme without pairing, further prove the proposed random oracle model. The expected not only resist...

With the development of technology and industry, problem global air pollution has become difficult to ignore. We investigated association between pollutant concentrations daily all-cause mortality stratified analysis by sex, age, season. Data for six pollutants [fine particulate matter (PM 2.5 ), inhalable particles 10 nitric dioxide (NO 2 sulfur (SO ozone (O 3 carbon monoxide (CO)] rates were collected from 2015 2019 in Guangzhou, China. A time-series study using a quasi-Poisson generalized...