Deep Reinforcement Learning for Integration of Train Trajectory Optimization and Timetable Rescheduling Under Disturbances.

High-speed trains are susceptible to unexpected events such as strong winds and equipment failures, which can result in deviations from the scheduled timetable. As the density of traffic increases, these delays can quickly spread to other trains, eventually leading to conflicts in the timetable. To ensure the efficiency of high-speed railways, quickly resolving potential conflicts and generating appropriate rescheduling schemes are essential.

hIMB1636-MMAE, a Novel TROP2-Targeting Antibody-Drug Conjugate Exerting Potent Antitumor Efficacy in Pancreatic Cancer.

Herein, we first prepared a novel anti-TROP2 antibody-drug conjugate (ADC) hIMB1636-MMAE using hIMB1636 antibody chemically coupled to monomethyl auristatin E (MMAE) via a Valine-Citrulline linker and then reported its characteristics and antitumor activity. With a DAR of 3.92, it binds specifically to both recombinant antigen ( ∼ 0.

Dual-path multi-scale context dense aggregation network for retinal vessel segmentation.

There has been steady progress in the field of deep learning-based blood vessel segmentation. However, several challenging issues still continue to limit its progress, including inadequate sample sizes, the neglect of contextual information, and the loss of microvascular details. To address these limitations, we propose a dual-path deep learning framework for blood vessel segmentation.

Synthesis and electrochemical properties of Mn-doped LiMnTi(PO) materials.

The hunt for a higher power storage, relatively inexpensive, non-polluting battery technology is currently a pressing issue because of the rapid growth of the worldwide economic and the progressively significant environmental pollution. Among the possible nanomaterials for rechargeable batteries that can have heteroatoms applied to it in order to improve its electrochemical behavior is LiTi(PO). Carbon-coated Mn-doped LiMnTi(PO) materials was synthesized by spray drying method.

Excellent effects and possible mechanisms of action of a new antibody-drug conjugate against EGFR-positive triple-negative breast cancer.

Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype and occurs in approximately 15-20% of diagnosed breast cancers. TNBC is characterized by its highly metastatic and recurrent features, as well as a lack of specific targets and targeted therapeutics. Epidermal growth factor receptor (EGFR) is highly expressed in a variety of tumors, especially in TNBC.

Synthesis, characterization, and targeted chemotherapy of SCT200-linker-monomethyl auristatin E conjugates.

Antibody-drug conjugates (ADCs) are currently among the most successful and important strategies for treating patients with solid tumors. ADCs are composed of a monoclonal antibody and warhead, which are conjugated via a linker. Currently, monomethyl auristatin E (MMAE) is the most widely applied warhead in the development of ADCs.

A novel potent metal-binding NDM-1 inhibitor was identified by fragment virtual, SPR and NMR screening.

NDM-1 can hydrolyze nearly all available β-lactam antibiotics, including carbapenems. NDM-1 producing bacterial strains are worldwide threats. It is still very challenging to find a potent NDM-1 inhibitor for clinical use.

Transcriptomic analysis of Momordica charantia polysaccharide on streptozotocin-induced diabetic rats.

Polysaccharides obtained from Momordica charantia have been shown to exert a hypoglycemic effect, thereby improving glucose metabolism. However, little is known regarding the molecular mechanisms underlying this process. In recent years, RNA sequencing (RNA-seq) has rapidly emerged as a major transcriptome profiling system.

Characterization of Momordica charantia L. polysaccharide and its protective effect on pancreatic cells injury in STZ-induced diabetic mice.

A polysaccharide with a molecular weight of 13,029Da was isolated from Momordica charantia (MCP) fruit and purified by ion-exchange and size-exclusion chromatography. The isolated polysaccharide MCPIIa contained L-Rha, D-GalA, D-Gal, D-Xyl, L-Ara in a molar ratio of 12:3.05:19.

Robust fault detection for the dynamics of high-speed train with multi-source finite frequency interference.

This paper proposes a composite fault detection scheme for the dynamics of high-speed train (HST), using an unknown input observer-like (UIO-like) fault detection filter, in the presence of wind gust and operating noises which are modeled as disturbance generated by exogenous system and unknown multi-source disturbance within finite frequency domain. Using system input and system output measurements, the fault detection filter is designed to generate the needed residual signals. In order to decouple disturbance from residual signals without truncating the influence of faults, this paper proposes a method to partition the disturbance into two parts.

[Expression and correlation of cyclooxygenase-2 and vascular endothelial growth factor in nasopharyngeal carcinoma-].

Objective: To evaluate the Expression and correlation of cyclooxygenase-2 (COX-2) and vascular endothelial growth factor receptor (VEGF) in nasopharyngeal carcinoma.

Method: In this study, expression levels of COX-2, VEGF were examined in 58 patients with nasopharyngeal carcinoma and 38 patients with inflammation in nasopharyngeal mucosa by immunohistochemistry method.

Result: The expression of COX-2, VEGF were higher in nasopharyngeal carcinoma than those in nasopharyngeal mucosa (P < 0.

[The expression and relationship of cyclooxygenase-2 and latent membrane protein-1 in nasopharyngeal carcinoma].

Objective: To discuss the expression and correlation of COX2 and LMP1 in NPC.

Method: Fifty-three nasopharyngeal biopsy specimens of NPC patients who had been diagnosed definitely with pathology in our department from 2000 to 2005, and 8 nasopharyngeal biopsy specimens of chronic nasopharyngitis patients were collected. The expression of COX2, LMP1 were detected with streptavidin peroxidase immunohistochemistry staining.