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Article
IAFPN: interlayer enhancement and multilayer fusion network for object detection
Feature pyramid network (FPN) improves object detection performance by means of top-down multilevel feature fusion. However, the current FPN-based methods have not effectively utilized the interlayer features ...
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Article
Exploring synergistic decoupling of haze pollution and carbon emissions in emerging economies: fresh evidence from China
In the face of global warming, energy depletion, and air pollution, controlling greenhouse gas and air pollutant emissions has become an urgent task for an emerging economy. Therefore, this study investigates ...
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Article
Challenge or Threat? Examining When and How Employees React Positively and Negatively to Coworkers’ Job Crafting
Previous studies have reported inconsistent or conflicting findings concerning employees’ reactions to coworkers’ job crafting. To reconcile these mixed findings, this study investigates whether, how, and unde...
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Article
LiNO3 additive in PVDF-based electrolyte enhanced interface stability in lithium metal batteries
Solid polymer electrolytes (SPEs) with high ionic conductivity and electrochemical stability are crucial for the potential practical applications of solid-state lithium metal batteries. In SPEs based on polyvi...
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Article
Mn/La co-doped WO3 (MnxLa0.03WO3+δ, x ≤ 0.1) ceramics for NTC thermistors
The low sintering temperature (LST) is a great significance for the fabrication of sensors and electronic components. To exploit a system of LST negative temperature coefficient (NTC) thermistors, Mn/La co-dop...
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Article
Towards domain adaptation underwater image enhancement and restoration
Currently, deep convolutional neural networks have made significant research progress in the field of underwater image enhancement and restoration. However, most of the existing methods use fixed-scale convolu...
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Article
Bi-modified samarium cuprate (BixSm2−xCuO4 (0 ≤ x ≤ 0.1)) thermosensitive ceramics with low sintering temperature
The negative temperature coefficient (NTC) thermosensitive ceramics with low sintering temperature are of great significance in the research and application of low-temperature co-firing sensitive components. I...
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Article
Open AccessProfessionally led support groups for people living with advanced or metastatic cancer: a systematic sco** review of effectiveness and factors critical to implementation success within real-world healthcare and community settings
To examine the effectiveness of professionally led support groups for people with advanced or metastatic cancer, and identify factors critical to implementation success within real-world settings.
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Article
Can factor substitution reduce the shadow price of air pollution embodied in international trade? A worldwide perspective
The calculation of trade-embodied air pollution (TEAP) and its economic losses can be reasonably used to assess the impact of transboundary air pollution. However, these air pollutants, which are associated wi...
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Article
Correction to: The role of Circular RNAs in Ischemic Stroke
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Article
The Role of Circular RNAs in Ischemic Stroke
Ischemic stroke (IS), a devastating condition characterized by intracranial artery stenosis and middle cerebral artery occlusion leading to insufficient oxygen supply to the brain, is a major cause of death an...
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Article
Revenge or forgiveness? The dual-path mechanism of employee co** with experienced incivility from an attribution perspective
Studies on workplace incivility have typically posited that the targets of incivility respond in a “tit-for-tat” manner. Moving beyond this dominant logic, we argue that in some cases, the targets may have a d...
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Article
Electrical properties of NiO-based composite ceramics modified by La2MO4 (M = Cu or Ni) for NTC thermistors
Negative temperature coefficient (NTC) thermistors are important for temperature sensors and actuators. In this work, La2MO4 (M = Cu or Ni) modified NiO composite ceramics are prepared by conventional solid-state...
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Article
Open AccessNetwork pharmacology analysis reveals potential targets and mechanisms of proton pump inhibitors in breast cancer with diabetes
Breast cancer and diabetes are significant health challenges, and effective treatments for both diseases are lacking. Proton pump inhibitors (PPIs) have demonstrated anticancer and hypoglycemic effects, but th...
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Article
Deep learning–based dynamic PET parametric Ki image generation from lung static PET
PET/CT is a first-line tool for the diagnosis of lung cancer. The accuracy of quantification may suffer from various factors throughout the acquisition process. The dynamic PET parametric Ki provides better quant...
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Article
Open AccessAn effective and considerable treatment of pilonidal sinus disease by laser ablation
The treatment of sacrococcygeal pilonidal disease (SPD) is still challenging. Although many non-surgical and surgical methods exist, no consensus has been reached on the best treatment. This study aimed to eva...
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Article
Photocatalytic degradation of dissolved organic matter in landfill leachate by heterostructural ZnO-rGO composite catalysts
The dissolved organic matter (DOM) in landfill pollutes not only the landfill and surroundings, but also the environment far away from the landfill by infiltrating into the soil and/or flowing on the ground su...
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Chapter and Conference Paper
Punctuation Matters! Stealthy Backdoor Attack for Language Models
Recent studies have pointed out that natural language processing (NLP) models are vulnerable to backdoor attacks. A backdoored model produces normal outputs on the clean samples while performing improperly on ...
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Chapter and Conference Paper
IMTM: Invisible Multi-trigger Multimodal Backdoor Attack
Computer Vision and Natural Language Processing have made significant advancements, leading to the emergence of multimodal models that seamlessly integrate diverse input modalities. While these models hold gre...
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Chapter and Conference Paper
Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models
Prompt-based learning has recently emerged as a promising approach for handling the increasing complexity of downstream natural language processing (NLP) tasks, achieving state-of-the-art performance without u...
