Introduction: Based on the context of the implementation of China's comprehensive deleveraging policy, this study explores the impact of firm strategic differentiation on the emergence of leverage manipulation behavior.
Methodology: The A-share listed firms in Shanghai and Shenzhen from 2007 to 2020 were used as the research objects, and the data were processed using Stata software.
Results: The greater the degree of strategic differentiation, the higher the likelihood of firm leverage manipulation. The effect of strategic differentiation on leverage manipulation is more significant when firms are under short-term debt service pressure. Auditor industry expertise can weaken the positive relationship between strategic differentiation and firm leverage manipulation. Further results show that the degree of strategic differentiation increases the likelihood of firm leverage manipulation by increasing the degree of financing constraints of the firm.
Conclusion: This study enriches the literature on leverage manipulation, provides empirical evidence on the economic consequences of strategic differentiation, and has important implications for the precise implementation of deleveraging policies by relevant government departments, as well as a reference for external investors' decisions.
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http://dx.doi.org/10.3389/fpsyg.2022.1013257 | DOI Listing |
RSC Chem Biol
January 2025
Bioorganic Chemistry Laboratory, New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research Jakkur P.O. Bengaluru Karnataka 560064 India
Reactive oxygen, nitrogen and sulfur species (RONSS) collectively encompasses a variety of energetically dynamic entities that emerge as inherent characteristics of aerobic life. This broad category includes reactive oxygen species (ROS), reactive nitrogen species (RNS), and reactive sulfur species (RSS). A conundrum arises from the indispensable role of RONSS in redox signalling, while its overproduction in the mitochondria poses deleterious effects.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Introduction: Traditional multivariate methods for neuroimaging studies overlook the interdependent relationship between brain features. This study addresses this gap by analyzing relative brain volumetric patterns to capture how Alzheimer's disease (AD) and genetics influence brain structure along the disease continuum.
Methods: This study analyzed data from participants across the AD continuum from the Alzheimer's and Families (ALFA) and Alzheimer's Disease Neuroimaging Initiative (ADNI) studies.
Unlabelled: Layer 6 corticothalamic (L6CT) neurons project to both cortex and thalamus, inducing multiple effects including the modulation of cortical and thalamic firing, and the emergence of high gamma oscillations in the cortical local field potential (LFP). We hypothesize that the high gamma oscillations driven by L6CT neuron activation are shaped by the dynamic engagement of intracortical and cortico-thalamo-cortical circuits. To test this, we optogenetically activated L6CT neurons in NTSR1-cre mice expressing channelrhodopsin-2 in L6CT neurons.
View Article and Find Full Text PDFMater Today Bio
February 2025
Department of Orthopedic Trauma and Microsurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Osteomyelitis has gradually become a catastrophic complication in orthopedic surgery due to the formation of bacterial biofilms on the implant surface and surrounding tissue. The therapeutic challenges of antibiotic resistance and poor postoperative osseointegration provide inspiration for the development of bioactive implants. We have strategically designed bioceramic scaffolds modified with (LR) and bacteriophages (phages) to achieve both antibacterial and osteogenic effects.
View Article and Find Full Text PDFSensors (Basel)
January 2025
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
Agricultural land classification plays a pivotal role in food security and ecological sustainability, yet achieving accurate large-scale mapping remains challenging. This study presents methodological innovations through a multi-level feature enhancement framework that transcends traditional time series analysis. Using Shandong Province, northern China's agricultural heartland, as a case study, we first established a foundation with time series red-edge vegetation indices (REVI) from Sentinel-2 imagery, uniquely combining the normalized difference red edge index (NDRE) and plant senescence reflectance index (PSRI).
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