Publications by authors named "Youping Chen"

The April-September maximum temperature in the Greater Caucasus region of Georgia has undergone notable changes, yet extended reconstructions remain scarce. We collected 40 Pinus sylvestris cores from Bakuriani and extracted their blue-intensity (BI) signals, which capture latewood density closely linked to high-season temperature. After chemical treatment and high-resolution scanning, we employed correlation analyses to identify the seasonal temperature signal in BI.

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Understanding long-term temperature variability in the Upper Indus Basin (UIB), northern Pakistan, and its driving mechanisms is challenging due to the scarcity of long observational records and available literature. In this study, we reconstructed a 651-year (1370-2020 CE) warm-season (March-September) temperature record using the tree-ring maximum latewood density (MXD) of blue pine (Pinus wallichiana). The reconstruction explains 57 % of the variance in actual temperature during the common calibration period (1972-2020 CE).

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Despite the practical importance of addressing the drug user's sleep problems to enhance the efficacy of treatment and rehabilitation, little is known about whether and how history of childhood maltreatment relates to this issue. This study takes an evolutionary perspective to investigate the associations between history of childhood maltreatment and sleep problems in adults with drug abuse via their emotion regulation difficulties, future-oriented coping, and anxiety. Participants were 604 male adults with drug abuse between the ages of 18-58 years ( = 36.

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The rapid development of the Greater Mekong Subregion (GMS) makes it essential to understand the major mechanisms controlling the streamflow, especially for the Lancang-Mekong River (abbr. Mekong River). We used instrumental annual streamflow data (1960-2007) from Chiang Saen hydrological station and several gridded hydroclimatic datasets to explore the hydroclimatic evolution of the Mekong River, together with its driving mechanisms.

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Background: This study aimed to explore the clinical and pathological features of aortitis in China, which is a rare disease that is often overlooked preoperatively.

Methods: We reviewed the records of 2950 patients who underwent aortic surgery at Wuhan Asia General Hospital from 2016 to 2023. Clinical and pathological data were collected and compared across different groups.

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This case report presents a 20-year-old male patient initially diagnosed with infective endocarditis, later correctly identified as Behçet's syndrome. The patient's complex clinical presentation, including chest pain, aortic dilation, severe aortic regurgitation, and aortic root abscess, posed significant diagnostic and therapeutic challenges. Despite initial misdiagnosis and treatment difficulties, the patient's condition significantly improved with appropriate immunosuppressive therapy, underscoring the potential for successful management of this complex condition.

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Background: In patients with aortic dissection, the aortic wall is separated into two layers along a dissection plane. In this study, a survey was performed to investigate the distribution of the depth of dissection plane and its correlation with other clinical and pathological parameters to help understand and expand the current knowledge of aortic dissection.

Methods: Pathology information system were searched for patients with aortic dissection who had undergone aortic replacement between 2019 and 2022 in Wuhan Asia General Hospital.

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Previous studies have shown that males with substance use disorder (SUD) in their first mandatory detoxification experience high rates of depression. It is unknown whether this high depression incidence contributes to impaired inhibition. In this work, two studies were undertaken to examine the role of depression in cognitive inhibition in heroin and methamphetamine withdrawal.

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Due to the short-term observation record of the normalized difference vegetation index (NDVI), the research on long-term NDVI changes is scarce, which limits our understanding of the impacts of NDVI changes in the context of global warming. In this study, a regional tree-ring chronology was developed based on the tree-ring samples of in the middle Qinling Mountains. The results showed that tree-ring width of was significantly positively correlated with May-July NDVI (=0.

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Based on a standardized tree-ring width chronology established at Altay, Xinjiang, we examined the climatic and hydrological factors affecting the tree-ring width of . The results showed that the tree-ring width chronology of was negatively correlated with the average temperature and the average maximum temperature in May-June of current year and positively correlated with May-June PDSI and January-June precipitation. The tree-ring width chronology of was positively correlated with previous November runoff of the Irtysh River.

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A tree-ring width chronology (STD) was established using tree-ring cores of from two sites with different altitudes in Western Yunnan, to study the responses of radial growth to climatic and hydrological factors. The results showed that the radial growth of in Western Yunnan was mainly affected by precipitation, temperature and runoff. The radial growth of at high altitude (2413.

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Rickettsia is the pathogen of Q fever, Brucella ovis is the pathogen of brucellosis, and both of them are Gram-negative bacteria which are parasitic in cells. The mixed infection of rickettsia and Brucella ovis is rarely reported in clinic. Early diagnosis and treatment are of great significance to the treatment and prognosis of brucellosis and Q fever.

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As one of the key components for active compliance control and human-robot collaboration, a six-axis force sensor is often used for a robot to obtain contact forces. However, a significant problem is the distortion between the contact forces and the data conveyed by the six-axis force sensor because of its zero drift, system error, and gravity of robot end-effector. To eliminate the above disturbances, an integrated compensation method is proposed, which uses a deep learning network and the least squares method to realize the zero-point prediction and tool load identification, respectively.

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Laser triangulation sensors (LTS) are widely used to acquire depth information in industrial applications. However, the parameters of the components, e.g.

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