Using the exogenous shock caused by the mandatory corporate social responsibility (CSR) information disclosure policy in 2008, this paper examines the impact of mandatory CSR information disclosure on the earnings management activities of listed firm...
8 June 2022
Clarifying the factors influencing the safe use of pesticide is essential for scientific decision making to effectively manage pesticide use and promote sustainable agroecological development. The study aims to explore the factors influencing farmers...
14 December 2022
In times of uncertainty, such as during COVID-19, many organizations experience profit decline, and employees develop a fear of external threats, such as organizational layoffs. However, most of the literature focuses on how people’s fear influ...
Effective control of collusive behavior in the government bidding process is a prerequisite for promoting the high-quality development of social economy, consolidating the results of the anti-corruption struggle and the smooth operation of the projec...
Graph pseudo-labeling is an effective semi-supervised learning (SSL) approach to improve graph neural networks (GNNs) by leveraging unlabeled data. However, its success heavily depends on the reliability of pseudo-labels, which can often result in co...
This paper mainly studies the effect of village-level power supervision reform on the rural supply of public goods. In this paper, the panel data of 100 villages in five provinces of China from 2005 to 2019 are used to identify and analyze the impact...
In this paper, we propose a novel data augmentation method with respect to the target context of the data via self-supervised learning. Instead of looking for the exact synonyms of masked words, the proposed method finds words that can replace the or...
In this paper, we propose a policy gradient-based semi-supervised speech recognition acoustic model training. In practice, self-training and teacher/student learning are one of the widely used semi-supervised training methods due to their scalability...
31 March 2022
Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China’s A-share listed companies from 2014 to...
Given the great proportion of CO2 emissions from electricity generation in total energy-related CO2 emissions, this article constructs a tripartite evolutionary game model consisting of vertical governments and power generation groups (PGGs), where t...
Glaucoma is a serious eye condition that damages the optic nerve and affects the transmission of visual information to the brain. It is the second leading cause of blindness worldwide. With deep learning, CAD systems have shown promising results in d...
This paper takes China’s A—share listed companies from 2010 to 2020 as a sample to study the impact of media attention, institutional investor attention, and their interaction on the sustainable development performance of enterprises as w...
To investigate the mechanism of improving corporate sustainable development, this paper uses the sample data of Shanghai and Shenzhen A-share listed companies between 2008–2017 and empirically investigates the effect of institutional investors&...
The integration of unmanned aerial vehicle (UAV) remote sensing and deep learning has emerged as a highly effective strategy for inventorying forest resources. However, the spatiotemporal variability of forest environments and the scarcity of annotat...
Green transformation is becoming key for corporate sustainability in the context of global carbon neutrality goals and China’s “dual carbon” strategy (peak carbon emissions and carbon neutrality). Digital transformation, particularl...
Improving the supply of rural public goods serves as a driving engine for rural revitalization and provides fundamental assurance for achieving self-sustained development in rural areas. This study examines how China’s supervision down to the c...
As a new travel model, the bike-sharing system (BSS) solves the ‘last kilometer’ problem and has developed rapidly for its convenience. However, many accompanying problems have emerged. In China, parking violation problems—such as s...
Effective internal control of enterprises can increase their social responsibility by improving financial performance, forming a sustainable cycle of enterprise development. This article uses relevant data from Chinese listed companies to explore the...
Under the background of low-carbon economy, the unethical behavior of green food enterprises has aggravated the uncertainty and frequency of green food safety problems and even triggered a contagion of unethical behavior among green food enterprises....
Objective: This study aimed to evaluate the effect of simultaneously combining therapeutic scapular retraction exercise with and without Neuromuscular Electrical Stimulation (NMES) in amateur female handball players with scapular dyskinesis. Methods:...
Unitised integration is a management model used to address the fragmentation of multiple management entities in complex environments. Small- and medium-sized enterprise (SME) safety alliances play an important role in centralised management and cost...
Online reviews mitigate uncertainty about product quality that is caused by information asymmetry. However, low-quality online reviews are not effective, while high-quality online reviews may raise costs. Unlike the previous studies, this paper devel...
Although the Chinese government has issued and revised a series of policies and regulations on intellectual property, infringement still repeatedly occurs. China is in a critical period of economic transformation and upgrading, and the problem of int...
Natural resource assets inherently integrate tripartite synthesis of legal, economic, and ecological attributes. They serve dual critical functions as foundational elements supporting the evolution of new-quality productive forces and pivotal mechani...
To address the prevalent noise issue in images generated by HumanNeRF, this paper proposes an image denoising method that combines self-supervised contrastive learning and Generative Adversarial Networks (GANs). While HumanNeRF excels in realistic 3D...
The present study aimed to evaluate the effect of maternal involvement in children’s home-based learning activities during the COVID-19 lockdown on mothers’ parenting stress, the quality of maternal care perceived by offspring, and the le...
The transition in medical image segmentation from fine-grained to coarse-grained annotation methods, notably scribble annotation, offers a practical and efficient preparation for deep learning applications. However, these methods often compromise seg...
Under the new pattern of “double carbon” development, good ESG performance is the best way to promote the sustainable development of enterprises, and ESG investment strategies are directly affected by the strategic vision of managers. Bas...
Supervised image denoising methods based on deep neural networks require a large amount of noisy-clean or noisy image pairs for network training. Thus, their performance drops drastically when the given noisy image is significantly different from the...
Electric vehicles are increasingly being used for green transportation in smart urban mobility, thus protecting environmental biodiversity and the ecosystem. Energy storage by electric vehicle batteries is a critical point of this ecologically respon...
In the practice of watershed ecological compensation, due to the inconsistency between the interests of economic development and the objectives of ecological protection, there are typical game characteristics among the relevant stakeholders. Taking t...
Social recommendations typically utilize social relationships and past behaviors to predict users’ preferences. In real-world scenarios, the connections between users and items often extend beyond simple pairwise relationships. Leveraging hyper...
Frequent environmental incidents in the supply chains of brand-name products have dire consequences on the ecological environment and in terms of social development. There have been few considerations of supply chains and enterprise characteristics i...
There is a clear target and roadmap for the peaking of carbon emissions and achievement of carbon neutrality, and prior to this target being reached, penalties have been formulated to supervise enterprises and prompt green innovation. This study aime...
In the wake of the COVID-19 pandemic, selling by short video has become a new online selling model that enhances the communication between buyers and sellers. Therefore, it is necessary to identify the key factors influencing consumers’ purchas...
With the continuous advancement of urbanization, a huge amount of construction waste is generated in large-scale construction activities, which has aggravated the problems of environmental pollution, waste of resources and destruction of city appeara...
Atrial fibrillation (AF) is the most common persistent arrhythmia, and it is crucial to develop generalizable automatic AF detection methods. However, supervised AF detection is often limited in performance due to the difficulty in obtaining labeled...
Introduction: Chronic primary low back pain (CPLBP) is a prevalent condition in primary care and a leading cause of disability and absenteeism worldwide. Multidimensional approaches may be necessary to achieve physical and mental health benefits in i...
A binary complex plasma consists of two different types of dust particles in an ionized gas. Due to the spinodal decomposition and force imbalance, particles of different masses and diameters are typically phase separated, resulting in an interface....
Cyclooxygenase-2 (COX-2) and microsomal prostaglandin E2 synthase (mPGES-1) are two key targets in anti-inflammatory therapy. Medicine and food homology (MFH) substances have both edible and medicinal properties, providing a valuable resource for the...
In response to severe environmental challenges, green innovation (GI) has been thoroughly considered by various governments. Although China has promulgated many environmental policies to promote environmental governance, regulatory capture and the la...
Facial keypoint detection technology faces significant challenges under conditions such as occlusion, extreme angles, and other demanding environments. Previous research has largely relied on deep learning regression methods using the face’s ov...
This study was designed to address the challenges of autonomous navigation facing UAVs in urban air mobility environments without GPS. Unlike traditional localization methods that rely heavily on GPS and pre-mapped routes, Mamba-VNPS leverages a self...
Against the backdrop of global efforts towards carbon peak and carbon neutrality, enhancing the level of green innovation in enterprises represents a significant challenge faced by governments worldwide. The practice of establishing a certification s...
Human Activity Recognition (HAR) systems have made significant progress in recognizing and classifying human activities using sensor data from a variety of sensors. Nevertheless, they have struggled to automatically discover novel activity classes wi...
Against the global low-carbon transition, China, as one of the world’s major carbon emitters, relies on green finance to drive corporate carbon reduction. However, existing research has paid limited attention to green funds, an important compon...
Rotated Bounding Boxes (RBBs) for oriented object detection are labor-intensive and time-consuming to annotate. Single-point supervision offers a cost-effective alternative but suffers from insufficient size and orientation information, leading exist...
It is no longer possible for China’s economy to grow by relying on the rapid expansion of manufacturing. On the one hand, China’s previous rough manufacturing development pattern seriously harmed the environment. On the other hand, China&...
How to better explore a diversity of emissions reduction paths has become the key to China achieving carbon peak and carbon neutralization goals as well as transforming the existing energy structure as soon as possible. Based on this, from the perspe...
Region merging is the most effective method for the segmentation of remote sensing data. The quality and the size of the resulted image objects is controlled by a global heterogeneity threshold, termed as the scale parameter. However, the multidimens...
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