Poly(sodium styrene sulfonate)-Grafted SiO Nanoparticle: Synthesis and Use as a Water-Insoluble Dispersant for Coal Water Slurry.

This study introduces a novel water-insoluble dispersant for coal water slurry (CWS), namely, a poly(sodium styrene sulfonate)- SiO nanoparticle (SiO--PSSNa). SiO--PSSNa was synthesized by combining the surface acylation reaction with surface-initiated atom transfer radical polymerization (SI-ATRP). Fourier transform infrared spectrometry (FTIR), X-ray photoelectron spectroscopy (XPS), energy dispersive spectrometer (EDS), nuclear magnetic resonance spectroscopy (NMR) and thermogravimetric analysis (TGA) verified that SiO--PSSNa with the desired structure was successfully obtained.

Electricity generation by B6-2 in microbial fuel cells using carboxylates and carbohydrate as substrates.

Microbial fuel cells (MFCs) employing B6-2 (ATCC BAA-2545) as an exoelectrogen have been developed to harness energy from various conventional substrates, such as acetate, lactate, glucose, and fructose. Owing to its metabolic versatility, B6-2 demonstrates adaptable growth rates on diverse, cost-effective carbon sources within MFCs, exhibiting distinct energy production characteristics. Notably, the anode chamber's pH rises with carboxylates' (acetate and lactate) consumption and decreases with carbohydrates' (glucose and fructose) utilization.

Role of the cathode chamber in microbial electrosynthesis: A comprehensive review of key factors.

The consumption of non-renewable fossil fuels has directly contributed to a dramatic rise in global carbon dioxide (CO) emissions, posing an ongoing threat to the ecological security of the Earth. Microbial electrosynthesis (MES) is an innovative energy regeneration strategy that offers a gentle and efficient approach to converting CO into high-value products. The cathode chamber is a vital component of an MES system and its internal factors play crucial roles in improving the performance of the MES system.

Multifunctional nanoplatform with near-infrared triggered nitric-oxide release for enhanced tumor ferroptosis.

Ferroptosis has emerged as a promising strategy for cancer treatment. Nevertheless, the efficiency of ferroptosis-mediated therapy remains a challenge due to high glutathione (GSH) levels and insufficient endogenous hydrogen peroxide in the tumor microenvironment. Herein, we presented a nitric-oxide (NO) boost-GSH depletion strategy for enhanced ferroptosis therapy through a multifunctional nanoplatform with near-infrared (NIR) triggered NO release.

Acceptability of palliative sleeve lobectomy with microscopic margin disease in patients with non-small cell lung cancer: A retrospective study.

Objective: For patients with non-small cell lung cancer, microscopic residual disease (R1) is sometimes inevitable after sleeve lobectomy. However, the necessity for extensive pneumonectomy after sleeve lobectomy with R1 status remains unclear, especially when the patient cannot tolerate surgery.

Methods: We retrospectively collected the clinical data of 366 patients who underwent sleeve lobectomy for microscopic residual disease (SLobR1) or pneumonectomy between 2015 and 2019 at Shanghai Chest Hospital, China.

RDscan: Extracting RNA-disease relationship from the literature based on pre-training model.

With the rapid advancements in molecular biology and genomics, a multitude of connections between RNA and diseases has been unveiled, making the efficient and accurate extraction of RNA-disease (RD) relationships from extensive biomedical literature crucial for advancing research in this field. This study introduces RDscan, a novel text mining method developed based on the pre-training and fine-tuning strategy, aimed at automatically extracting RD-related information from a vast corpus of literature using pre-trained biomedical large language models (LLM). Initially, we constructed a dedicated RD corpus by manually curating from literature, comprising 2,082 positive and 2,000 negative sentences, alongside an independent test dataset (comprising 500 positive and 500 negative sentences) for training and evaluating RDscan.

A stacking-based algorithm for antifreeze protein identification using combined physicochemical, pseudo amino acid composition, and reduction property features.

Antifreeze proteins have wide applications in the medical and food industries. In this study, we propose a stacking-based classifier that can effectively identify antifreeze proteins. Initially, feature extraction was performed in three aspects: reduction properties, scalable pseudo amino acid composition, and physicochemical properties.

Integrated convolution and self-attention for improving peptide toxicity prediction.

Motivation: Peptides are promising agents for the treatment of a variety of diseases due to their specificity and efficacy. However, the development of peptide-based drugs is often hindered by the potential toxicity of peptides, which poses a significant barrier to their clinical application. Traditional experimental methods for evaluating peptide toxicity are time-consuming and costly, making the development process inefficient.

Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.

Accurately identifying cancer driver genes (CDGs) is crucial for guiding cancer treatment and has recently received great attention from researchers. However, the high complexity and heterogeneity of cancer gene regulatory networks limit the precition accuracy of existing deep learning models. To address this, we introduce a model called SCIS-CDG that utilizes Schur complement graph augmentation and independent subspace feature extraction techniques to effectively predict potential CDGs.

Integration of Glutamate Dehydrogenase and Nanoporous Gold for Electrochemical Detection of Glutamate.

Glutamate, a non-essential amino acid produced by fermentation, plays a significant role in disease diagnosis and food safety. It is important to enable the real-time monitoring of glutamate concentration for human health and nutrition. Due to the challenges in directly performing electrochemical oxidation-reduction reactions of glutamate, this study leverages the synergistic effect of glutamate dehydrogenase (GLDH) and nanoporous gold (NPG) to achieve the indirect and accurate detection of glutamate within the range of 50 to 700 μM by measuring the generated quantity of NADH during the enzymatic reaction.

Krüppel-like Factor 10 as a Prognostic and Predictive Biomarker of Radiotherapy in Pancreatic Adenocarcinoma.

The prognosis of pancreatic adenocarcinoma (PDAC) remains poor, with a 5-year survival rate of 12%. Although radiotherapy is effective for the locoregional control of PDAC, it does not have survival benefits compared with systemic chemotherapy. Most patients with localized PDAC develop distant metastasis shortly after diagnosis.

A pilot study comparing the disinfecting effects of commercialized stable ClO solution (free of activation) with conventional HO on dental unit waterlines in the dental practice setting.

Disinfection of dental unit waterlines (DUWLs) plays a key role in control and prevention of nosocomial infection in a dental clinic. The most conventional disinfectant is hydrogen peroxide (HO), while chlorine dioxide (ClO) has been considered however was limited by the "activation" procedures. With the availability of commercialized stable ClO solution (free of activation), direct application of ClO in the dental practice became possible.

Tracheal tunica adventitia invasion after lobectomy in patients with non-small cell lung cancer.

Background: For patients with non-small cell lung cancer, a negative margin status is required for radical pulmonary surgery. Residual disease of the margin has been thoroughly studied in the past few decades. However, the prognostic significance of tracheal tunica adventitia invasion after lobectomy remains unclear.

The Implication of Liquid Biopsy in the Non-small Cell Lung Cancer: Potential and Expectation.

Nowadays, lung cancer has remained the most lethal cancer, despite great advances in diagnosis and treatment. However, a large proportion of patients were diagnosed with locally advanced or metastatic disease and have poor prognosis. Immunotherapy and targeted drugs have greatly improved the survival and prognosis of patients with advanced lung cancer.

Prediction of strand-specific and cell-type-specific G-quadruplexes based on high-resolution CUT&Tag data.

G-quadruplex (G4), a non-classical deoxyribonucleic acid structure, is widely distributed in the genome and involved in various biological processes. In vivo, high-throughput sequencing has indicated that G4s are significantly enriched at functional regions in a cell-type-specific manner. Therefore, the prediction of G4s based on computational methods is necessary instead of the time-consuming and laborious experimental methods.

Identification of DNA-binding proteins by Kernel Sparse Representation via L-matrix norm.

An understanding of DNA-binding proteins is helpful in exploring the role that proteins play in cell biology. Furthermore, the prediction of DNA-binding proteins is essential for the chemical modification and structural composition of DNA, and is of great importance in protein functional analysis and drug design. In recent years, DNA-binding protein prediction has typically used machine learning-based methods.

Predictive value of machine learning in diagnosing cognitive impairment in patients with Parkinson's disease: a systematic review and meta-analysis.

Background: The current process used to diagnose cognitive impairment in patients with Parkinson's disease (PD) is unsatisfactory. More and more researchers had introduced machine learning into this field in recent years. This study explored the application of machine learning and its diagnostic performance in this field.

Research progress on risk factors related to intracranial artery, carotid artery, and coronary artery stenosis.

In recent decades, with the rapid development of economy, the acceleration of social aging and urbanization, and the prevalence of unhealthy lifestyles, the number of patients with cardiovascular and cerebrovascular diseases has shown an increasing trend year by year. It has also become one of the important causes of disability and death in all ages and groups. Atherosclerosis is the main pathological change of ischemic cardiovascular and cerebrovascular diseases, which mainly invades the large and medium arteries of the body circulation.

shRNA‑mediated knockdown of KNTC1 inhibits non-small-cell lung cancer through regulating PSMB8.

In view of the important roles played by Kinetochore proteins in mitosis, we believed that they may contribute to the development and progression of human cancers, which has been reported recently elsewhere. Kinetochore-associated 1 (KNTC1) participates in the segregation of sister chromatids during mitosis, the effects of which on non-small-cell lung cancer (NSCLC) remain unclear. Here, we sought to identify the biological significance of KNTC1 in NSCLC.

Homologous recombination deficiency (HRD) can predict the therapeutic outcomes of immuno-neoadjuvant therapy in NSCLC patients.

Background: Neoadjuvant immunotherapy is emerging as novel effective intervention in lung cancer, but study to unearth effective surrogates indicating its therapeutic outcomes is limited. We investigated the genetic changes between non-small cell lung cancer (NSCLC) patients with varied response to neoadjuvant immunotherapy and discovered highly potential biomarkers with indicative capability in predicting outcomes.

Methods: In this study, 3 adenocarcinoma and 11 squamous cell carcinoma NSCLC patients were treated by neoadjuvant immunotherapy with variated regimens followed by surgical resection.

The outcomes of margin status after sleeve lobectomy for patients of non-small cell lung cancer.

Background: Sleeve lobectomy is recognized as an alternative surgical operation to pneumonectomy because it preserves the most pulmonary function and has a considerable prognosis. In this study, we aimed to investigate the implications of residual status for patients after sleeve lobectomy.

Methods: In this retrospective cohort study, we summarized 58 242 patients who underwent surgeries from 2015 to 2018 in Shanghai Chest Hospital and found 456 eligible patients meeting the criteria.

Therapeutic Effects and Repair Mechanism of HGF Gene-Transfected Mesenchymal Stem Cells on Injured Endometrium.

There are many studies on the advantages of using mesenchymal stem cells (MSCs) that secrete various paracrine factors for repairing endometrial injury. However, the stability and effectiveness of MSCs require improvement to become a viable therapy. Hepatocyte growth factor (HGF), one of the cytokines secreted by MSCs, promotes vascular repair and mesenchymal to epithelial transformation (MET).