Research progress of paclitaxel nanodrug delivery system in the treatment of triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, characterized by the loss or low expression of estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2) and progesterone receptor (PR). Due to the lack of clear therapeutic targets, paclitaxel (PTX) is often used as a first-line standard chemotherapy drug for the treatment of high-risk and locally advanced TNBC. PTX is a diterpenoid alkaloid extracted and purified from Taxus plants, functioning as an anticancer agent by inducing and promoting tubulin polymerization, inhibiting spindle formation in cancer cells, and preventing mitosis.

Structures of PSI-FCPI from Thalassiosira pseudonana grown under high light provide evidence for convergent evolution and light-adaptive strategies in diatom FCPIs.

Diatoms rely on fucoxanthin chlorophyll a/c-binding proteins (FCPs) for light harvesting and energy quenching under marine environments. Here we report two cryo-electron microscopic structures of photosystem I (PSI) with either 13 or five fucoxanthin chlorophyll a/c-binding protein Is (FCPIs) at 2.78 and 3.

Water sorption performance of the zeolitic metal azolate framework MAF-7.

Water sorption isotherms of [Zn(mtz)] (MAF-7) were collected over a wide temperature range (15-45 °C) and its water sorption performance was assessed in terms of water uptake, sorption kinetics, recyclability, and regeneration temperature. Additionally, molecular simulations were conducted to elucidate the locations of water molecules within the pore cavity of MAF-7.

Combination of UHPLC-QE-MS and Network Pharmacology to Reveal the Mechanism of Fufang-Duzhong-Jiangu Granules for Treating Knee Osteoarthritis.

UHPLC-QE-MS technology and network pharmacology are used to comprehensively analyze and validate the potential mechanism of Fufang-Duzhong-Jiangu granules (FFDZ) in treating knee osteoarthritis (KOA). UHPLC-QE-MS technology and content-weighted construction of databases and screening conditions are used to obtain key component targets. CTD, Gene Cards, and DisGeNET databases are used to define KOA-related targets.

Sex differences in loneliness, social isolation, and their impact on psychiatric symptoms and cognitive functioning in schizophrenia.

Background: Social isolation and loneliness, objective and subjective features of dysfunctional social relationships, are more prevalent in patients with schizophrenia (SCZ) than in the general population. This study aimed to explore sex differences in loneliness and social isolation among Chinese chronic SCZ patients, and to investigate their relationships with psychiatric symptoms and cognitive functioning.

Methods: A total of 323 SCZ patients, comprising 136 males and 187 females, were recruited.

Tungsten oxide nanowire clusters anchored on porous carbon fibers as a sulfur redox mediator for lithium-sulfur batteries.

Addressing the sluggish redox kinetics of sulfur electrodes and mitigating the shuttle effect of intermediate lithium polysulfides (LiPS) are crucial for the advancement of high-energy lithium-sulfur batteries. Here, we introduce a pioneering flexible self-supporting composite scaffold that incorporates tungsten oxide nanowire clusters anchored on core-shell porous carbon fibers (WO/PCF) for sulfur accommodation. The core of PCF serves as a robust electrode supporting scaffold, whereas the porous shell of PCF provides a 3D interconnected conductive network to accommodate sulfur, restrain polysulfide diffusion and buffer electrode expansion.

Facial expression analysis using convolutional neural network for drug-naive and chronic schizophrenia.

Objective: Facial images have been shown to convey mental conditions as clinical symptoms. This study aimed to use facial images to detect patients with drug-naive schizophrenia (DN-SCZ) or chronic schizophrenia (C-SCZ) from healthy controls (HCs), and to investigate differences in facial expressions among these 3 groups, as well as relationships between facial expressions and psychiatric symptoms.

Methods: We recruited 45 DN-SCZ patients, 106 C-SCZ patients and 101 HCs for the study, and videotaped their facial expressions through a fixed experimental paradigm.

DEAD-box RNA helicase 10 is required for 18S rRNA maturation by controlling the release of U3 snoRNA from pre-rRNA in embryonic stem cells.

Ribosome biogenesis plays a pivotal role in maintaining stem cell homeostasis, yet the precise regulatory mechanisms governing this process in mouse embryonic stem cells (mESCs) remain largely unknown. In this investigation, we ascertain that DEAD-box RNA helicase 10 (DDX10) is indispensable for upholding cellular homeostasis and the viability of mESCs. Positioned predominantly at the nucleolar dense fibrillar component (DFC) and granular component (GC), DDX10 predominantly binds to 45S ribosomal RNA (rRNA) and orchestrates ribosome biogenesis.

AI-powered detection and quantification of post-harvest physiological deterioration (PPD) in cassava using YOLO foundation models and K-means clustering.

Background: Post-harvest physiological deterioration (PPD) poses a significant challenge to the cassava industry, leading to substantial economic losses. This study aims to address this issue by developing a comprehensive framework in collaboration with cassava breeders.

Results: Advanced deep learning (DL) techniques such as Segment Anything Model (SAM) and YOLO foundation models (YOLOv7, YOLOv8, YOLOv9, and YOLO-NAS), were used to accurately categorize PPD severity from RGB images captured by cameras or cell phones.

A Method for Detecting Depression in Adolescence Based on an Affective Brain-Computer Interface and Resting-State Electroencephalogram Signals.

Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG).

Cross-Sectional and Longitudinal Associations of Serum LRG1 with Severity and Prognosis Among Adult Community-Acquired Pneumonia Patients.

Background: Leucine-rich α-2 glycoprotein 1 (LRG1) is associated with various inflammatory lung diseases. Nevertheless, the connection between LRG1 and adult community-acquired pneumonia (CAP) individuals was still not well understood. Through a prospective cohort study, the correlations of serum LRG1 with severity and prognosis were evaluated in CAP patients.

Impact of Paroxysmal Atrial Tachycardia on Thromboembolic Events and Major Adverse Cardiovascular Events: A Single-Center Retrospective Study.

Objective: Atrial fibrillation (AF) is known to increase the risk of thromboembolic events and major adverse cardiovascular events (MACE). The impact of paroxysmal atrial tachycardia (PAT) on these risks remains unclear.

Methods: This retrospective cohort study was conducted involving 889 patients diagnosed with PAT and 1106 control patients without PAT, all of whom underwent their initial 24-hour ECG monitoring between 2015 to 2020.

MAEMOT: Pretrained MAE-Based Antiocclusion 3-D Multiobject Tracking for Autonomous Driving.

The existing 3-D multiobject tracking (MOT) methods suffer from object occlusion in real-world traffic scenes. However, previous works have faced challenges in providing a reasonable solution to the fundamental question: "How can the interference of the perception data loss caused by occlusion be overcome?" Therefore, this article attempts to provide a reasonable solution by developing a novel pretrained movement-constrained masked autoencoder (M-MAE) for an antiocclusion 3-D MOT called MAEMOT. Specifically, for the pretrained M-MAE, this article adopts an efficient multistage transformer (MST) encoder and a spatiotemporal-based motion decoder to predict and reconstruct occluded point cloud data, following the properties of object motion.

Mycoplasma synoviae surface-located elongation factor G functions as a cytoadhesin to promote adhesion to synovial sheath cells through binding to vimentin.

Mycoplasma synoviae infection has caused serious economic losses to the poultry industry worldwide. The molecular mechanism by which M. synoviae colonizes the synovium and induces synovitis is unclear.

Enhancing spatial domain detection in spatial transcriptomics with EnSDD.

Advancements in spatial transcriptomics have transformed our understanding of organ function and tissue microenvironment. However, accurately identifying spatial domains to depict genome heterogeneity and cellular interactions remains a challenge. In this study, we propose EnSDD (Ensemble-learning for Spatial Domain Detection), a method that ingeniously integrates eight state-of-the-art spatial domain detection methods to automatically identify spatial domains.

An Improved Unfolded Coprime Linear Array Design for DOA Estimation with No Phase Ambiguity.

In this paper, the direction of arrival (DOA) estimation problem for the unfolded coprime linear array (UCLA) is researched. Existing common stacking subarray-based methods for the coprime array are invalid in the case of its subarrays, which have the same steering vectors of source angles. To solve the phase ambiguity problem, we reconstruct an improved unfolded coprime linear array (IUCLA) by rearranging the reference element of the prototype UCLA.