A5052817885- Experimental Behavioral Economics Studies
- Decision-Making and Behavioral Economics
- Remote-Sensing Image Classification
- Sports Analytics and Performance
- Remote Sensing and Land Use
- Evolutionary Game Theory and Cooperation
- Culture, Economy, and Development Studies
- Advanced Image Fusion Techniques
- Remote Sensing in Agriculture
- Taxation and Compliance Studies
- Economic Policies and Impacts
- Russia and Soviet political economy
- Game Theory and Applications
- Global Financial Crisis and Policies
- Context-Aware Activity Recognition Systems
- Gender, Labor, and Family Dynamics
- Interprofessional Education and Collaboration
- Political Conflict and Governance
- Advanced Chemical Sensor Technologies
- Evaluation and Performance Assessment
- Domain Adaptation and Few-Shot Learning
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Chemokine receptors and signaling
- Hearing Loss and Rehabilitation
- RNA Research and Splicing
Shandong University
2023-2024
Harbin Institute of Technology
2019-2024
China West Normal University
2024
University of the Fraser Valley
2021
Nanjing Audit University
2015-2021
Huaian First People’s Hospital
2020
Monash University
2017-2018
Stony Brook University
2016
University of Nottingham
2015
Recently, transformer has gradually attracted interest for its excellence in modeling the long-range dependencies of spatial-spectral features HSI. However, problem quadratic computational complexity due to self-attention mechanism, which is heavier than other models and thus limited adoption HSI processing. Fortunately, recently emerging state space model-based Mamba shows great efficiency while achieving power transformers. Therefore, this paper, we first proposed spectral-spatial...
In recent years, deep convolutional neural networks (CNNs) have been widely used for hyperspectral image (HSI) classification. The powerful feature extraction capability and high classification performance of CNN highly depend on sufficient training samples. Unfortunately, it is not a common situation because collecting samples time-consuming expensive. this letter, in order to make the most with limited samples, dual-path siamese (Dual-SCNN) proposed HSI Specifically, framework combination...
Recently, due to the powerful capability at modeling long-range relationships, Transformer-based methods have been widely explored in many research areas including hyperspectral image (HSI) classification. However, because of lots trainable parameters and lack inductive bias, it is difficult train a HSI classifier, especially when number training samples limited. To address this issue, study, spectral-spatial masked Transformer (SS-MTr) for classification, which uses two-stage strategy. In...
With the increasing availability and openness of remote sensing (RS) data collected from diverse sensors, there has been a growing interest in multimodal RS classification. Nowadays, area deep learning, is paradigm shift with rise foundation models, which are trained on large-scale datasets adaptable to wide range downstream tasks. In this study, potential effectiveness models for classification investigated. The training quite different, therefore, it difficult use pretrained model...
Several fundamental remote sensing (RS) image processing tasks, including classification, segmentation, and detection, have been set to serve for manifold applications. In the RS community, individual tasks studied separately many years. However, specialized models were only capable of a single task. They lacked adaptability generalizing other tasks. Moreover, Transformer exhibits powerful generalization capacity because it has property dynamic feature weighting. Hence, there is large...
We introduce the "ball-catching task", a novel computerized task, which combines tangible action ("catching balls") with induced material cost of effort. The central feature ball-catching task is that it allows researchers to manipulate effort function as well production function, permits quantitative predictions on provision. In an experiment piece-rate incentives we find comparative static and point provision are remarkably accurate. also present experimental findings from three classic...
Abstract A meritocratic fairness ideal typically asserts that income inequality is justifiable if it arises from differences in performance rather than mere luck. In this study, we present experimental evidence reveals how merit judgments are influenced by the sources of differentials, while holding fixed underlying impact on incentives to perform. Drawing inspiration real-world factors create inequality, investigate unequal opportunities education and employment performance. Contrary some...
Collective action problems emerge when individual incentives and group interests are misaligned, as in the case of climate change. Individuals involved collective often considered to have two options: contribute towards a public solution or free-ride. But they might also choose third option investing private such local change adaptation. Here we introduce game featuring wealth inequality caused by luck merit both solutions with participants from 34 countries. We show that joint existence has...
In recent years, deep learning models have been widely used for hyperspectral image (HSI) classification and most of existing learning-based methods merely focused on high accuracy. However, in real applications, with low uncertainty matters as much accurate classification. Unfortunately, fail to consider uncertainty. To tackle this challenge, the first time, Bayesian (BDL) is investigated analyze model HSI Specifically, first, at feature extraction stage, an framework based BDL, which...
Hyperspectral remote sensing obtains abundant spectral and spatial information of the observed object simultaneously. It is an opportunity to classify hyperspectral imagery (HSI) with a fine-grained manner. In this study, classification HSI, which contains large number classes, investigated. On one hand, traditional methods cannot handle HSI well; on other deep learning have shown their powerfulness in classification. So, paper, explored for supervised semi-supervised For classification,...
Previous studies have demonstrated that C‑C motif chemokine 14 (CCL14) plays an important role in the occurrence and development of cancer. However, significance CCL14 progression prognosis epithelial ovarian cancer (EOC) has not yet been reported. The standard EnVision procedure for tissue microarrays was used to evaluate immunohistochemical expression protein 154 patients with EOC who underwent tumor‑debulking operations at Central Cancer Department Sun Yat‑Sen University (Guangzhou,...
Recently, deep convolutional neural networks (CNNs) have achieved high classification accuracy of hyperspectral image (HSI). However, is not the only goal a good HSI classifier. In real-world applications, it necessary to tell whether classifier certain about its result, which critical for safe usage. Unfortunately, most existing models do consider issue. this study, uncertainty estimated and reduced build trustworthy Firstly, since output probabilities softmax layer cannot represent...
ABSTRACT Employees typically work on multiple tasks that require unrelated skills and abilities. While past research strongly supports relative performance feedback influences employee effort allocation, little is known about the effect of competitiveness. Using a lab experiment, we study confirm complementary spillover effect—relative in first task positively affects competitiveness second task. Furthermore, find operates jointly independently through belief- taste-altering mechanisms. The...
Communication is one of the most effective devices in promoting team cooperation. However, asymmetric communication sometimes breeds collusion and hurts efficiency. Here, we present experimental evidence showing that excluding member from cooperation; communicating partners collude profit allocation against excluded member, latter reacts by exerting less effort. Allowing to reach out partially restores cooperation fairness allocation, but it does not stop talking behind member’s back even...
Abstract We investigate how information about recipients’ characteristics affects donors’ giving as opposed to when no is available. In a rational model in which causes donor update their assessment of the recipient's deservingness, we introduce idea that altruism can be ‘persuadable’ (‘dissuadable’) by positive (negative) characteristics. report data from three experiments donors are provided regarding recipient characteristics: alcoholism, attending courses, and disability. Across...
In recent years, supervised learning-based methods have achieved excellent performance for hyperspectral image (HSI) classification. However, the collection of training samples with labels is not only costly but also time-consuming. This fact usually causes existence weak supervision, including incorrect supervision where mislabeled exist and incomplete unlabeled exist. Focusing on inaccurate weakly classification HSI investigated in this paper. For complementary learning (CL) firstly...
RING finger protein 187 (RNF187) has been used to predict prognosis of several human carcinomas. However, the clinicopathologic and prognostic implication RNF187 expression in ovarian carcinomas remains not be evaluated. The aim this study was explore significance patients with Expression levels were investigated by immunohistochemical staining based on tissue-microarray composed 147 Receiver operating characteristic curve analysis select ideal cut-off value carcinoma, then analyze...
Abstract We study escalation and aggression in an experimental first-strike game which two participants play multiple rounds of a money-earning task. In each round, both players can spend money to accumulate weapons. The player with more weapons strike against the other player, almost totally eliminates victim's earnings potential removes their capacity strike. Weapons serve as means deterrence. four treatments, we find that deterrence is strengthened if weapon stocking cannot be observed,...
We present an experiment to investigate the source of disappointment aversion in a sequential real‐effort competition. Specifically, we study contribution social comparison effects previously identified two‐person competition (Gill, D., and V. Prowse. “A Structural Analysis Disappointment Aversion Real Effort Competition.” American Economic Review , 102, 2012, 469–503). To do this compare “social” “asocial” versions Gill Prowse experiment, where latter treatment removes scope for...
We introduce the "ball-catching task", a novel computerized real effort task, which combines "real" efforts with induced material cost of effort. The central feature ball-catching task is that it allows researchers to manipulate function as well production function, permits quantitative predictions on provision. In an experiment piece-rate incentives we find comparative static and point provision are remarkably accurate. also present experimental findings from three classic experiments,...