An exploratory study on the differential diagnostic indicators between adult systemic EBV-positive T-cell lymphoproliferative disorders and angioimmunoblastic T-cell lymphoma with multiple EBV infections.

Background: The differential diagnosis between adult systemic EBV-positive T-cell lymphoproliferative disorders (EBV T-LPD) and angioimmunoblastic T-cell lymphoma (AITL) with multiple EBV infections is difficult, and distinguishing between the two has become a diagnostic challenge for pathologists. Given that the clinical treatment plans are different, an accurate diagnosis is a prerequisite to ensure effective treatment, therefore, it is extremely necessary and meaningful to find effective pathological indicators for distinguishing between two diseases.

Methods: We present a retrospective study comparing 7 cases of adult EBV T-LPD and 16 cases of AITL with multiple EBV infections diagnosed at our institution from 2017 to 2022.

Computationally Efficient Polarizable MD Simulations: A Simple Water Model for the Classical Drude Oscillator Polarizable Force Field.

An improvement in the computational efficiency of polarizable force field simulations is made through the development of a polarizable Drude water model, SWM3, in combination with the use of Lennard-Jones Particle Mesh Ewald (LJPME) for the treatment of long-range LJ interactions. The experimental bulk properties, density, heat of vaporization, dielectric constant, and self-diffusion constant of the SWM3 model are accurately replicated at ambient condition. The temperature dependence of the bulk properties is also captured except for the density.

Identification of serum biomarkers and therapeutic targets for aortic diseases in obesity through multi-omics analysis.

Background: Obesity is associated with an increased risk of aortic diseases and operative risks. Currently, there are no effective drugs available to prevent the occurrence and progression of aortic aneurysms or dissections. We investigated potential biomarkers and therapeutic targets using a multi-omics approach.

Multidimensional morphological analysis of live sperm based on multiple-target tracking.

Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm.

Association Between Artificial Liver Support System and Prognosis in Hepatitis B Virus-Related Acute-on-Chronic Liver Failure.

Objective: The artificial liver support system (ALSS) has been recruited as an available method for patients with acute-on-chronic liver failure (ACLF), but its impact on the outcome of ACLF remains controversial. This study aimed to investigate the association between ALSS treatment and short-term prognosis of hepatitis B-related ACLF (HBV-ACLF).

Methods: This was a retrospective observational cohort study, and data were obtained from the Center of Infectious Diseases, West China Hospital of Sichuan University, between Mar 2015 and December 2021.