Advancements in iron-based photocatalytic degradation for antibiotics and dyes.

The accelerated growth of the economy and advancements in medical technology have led to the discharge of a diverse range of organic pollutants into water sources. Recent investigations into water treatment have demonstrated the potential for integrating photocatalysis with techniques such as photocatalytic persulfate activation and the Photo-Fenton process for more efficient wastewater management. Iron-based photocatalysts responsive to visible light offer several advantages, including non-toxicity, safety, affordability, and excellent chemical and optical properties.

A Thermally Robust Biopolymeric Separator Conveys K Transport and Interfacial Chemistry for Longevous Potassium Metal Batteries.

Potassium metal batteries (KMBs) hold promise for stationary energy storage with certain cost and resource merits. Nevertheless, their practicability is greatly handicapped by dendrite-related anodes, and the target design of specialized separators to boost anode safety is in its nascent stage. Here, we develop a thermally robust biopolymeric separator customized via a solvent-exchange and amino-siloxane decoration strategy to render durable and safe KMBs.

Gastric duplication cysts with mixed hemangioma treated by endoscopic submucosal dissection: A case report and literature review.

Gastric duplication cysts (GDCs) are rare cystic neoplasms that are often difficult to distinguish from other entities. Accurate diagnosis of cysts before resection is difficult even using the most advanced imaging techniques. We present a case of a gastric duplication cyst in a 17-year-old female, presenting with discomfort in the upper abdomen.

Proteomics-on-a-Chip - Microfluidics meets proteomics.

Proteomics provides an understanding of biological systems by enabling the detailed study of protein expression profiles, which is crucial for early disease diagnosis. Microfluidic-based proteomics enhances this field by integrating complex proteome analysis into compact and efficient systems. This review focuses on developing microfluidic chip structures for proteomics, covering on-chip sample pretreatment, protein extraction, purification, and identification in recent years.

Enhanced piezoelectric sensor to distinguish real-time arrhythmia for predicting heart failure.

Monitoring cardiac rhythm is crucial for diagnosis of heart failure. However, the deficient sensitivity of polyvinylidene fluoride (PVDF) sensors impede their application in monitoring of cardiac rhythm due to the limited piezoelectricity. Here, doping of CoFeO and aligning fibers were jointly adopted to enhance the piezoelectricity of PVDF, attributed to the transformation of α-PVDF to β-PVDF from 51.

Engineering Atom-Scale Cascade Catalysis via Multi-Active Site Collaboration for Ampere-Level CO Electroreduction to C Products.

Electrochemical reduction of CO to value-added multicarbon (C) productions offers an attractive route for renewable energy storage and CO utilization, but it remains challenging to achieve high C selectivity at industrial-level current density. Herein, a MoCu single-atom alloy (SAA) catalyst is reported that displays a remarkable C Faradaic efficiency of 86.4% under 0.

A review of the pathogenesis of mitochondria in breast cancer and progress of targeting mitochondria for breast cancer treatment.

With breast cancer being the most common tumor among women in the world today, it is also the leading cause of cancer-related deaths. Standard treatments include chemotherapy, surgery, endocrine therapy, and targeted therapy. However, the heterogeneity, drug resistance, and poor prognosis of breast cancer highlight an urgent need for further exploration of its underlying mechanisms.

ALKBH5 suppresses gastric cancer tumorigenesis and metastasis by inhibiting the translation of uncapped WRAP53 RNA isoforms in an m6A-dependent manner.

The N6-methyladenosine (m6A) modification serves as an essential epigenetic regulator in eukaryotic cells, playing a significant role in tumorigenesis and cancer progression. However, the detailed biological functions and underlying mechanisms of m6A regulation in gastric cancer (GC) are poorly understood. Our research revealed that the m6A demethylase ALKBH5 was markedly downregulated in GC tissues, which was associated with poor patient prognosis.

Chemo-optogenetic Dimerization Dissects Complex Biological Processes.

Light offers superior control in terms of high temporal precision, high spatial precision, and non-invasiveness for the regulation of cellular functions. In recent years, chemical biologists have adopted chemo-optogenetic dimerization approaches, such as photo-triggered chemical inducers of dimerization (pCIDs), as a general tool for spatiotemporal regulation of cellular functions. Traditional chemo-optogenetic dimerization triggers either a single ON or a single OFF of cellular activity.

Accelerating Tumor Immunotherapy Through a Synergistic Strategy of Increasing Throttle and Relaxing Brake.

Tumor immunotherapy has been widely used clinically, but it is still hindered by weak antitumor immunity and immunosuppressive tumor microenvironment (TME). Here, a kind of simple disodium hydrogen phosphate nanoparticle (Na2HPO4 NP) is prepared to "accelerate" tumor immunotherapy by "increasing throttle" and "relaxing brake" simultaneously. The obtained Na2HPO4 NPs release a large amount of Na+ and HPO42- ions within tumor cells, thereby activating the caspase 1/GSDMD-mediated pyroptosis pathway to achieve immune activation.

PPDock: Pocket Prediction-Based Protein-Ligand Blind Docking.

Predicting the docking conformation of a ligand in the protein binding site (pocket), i.e., protein-ligand docking, is crucial for drug discovery.

Tetrahedral AlO Cage: A Superchalcogen Atom.

Superatoms are stable clusters that mimic the chemical behavior of individual atoms in the periodic table. Many endeavors have been devoted to the design and characterization of various superatoms, while engineering superatoms to mimic the chemistry of chalcogens remains a challenge. In this paper, we present a new superchalcogen by evaluating a hollow tetrahedral AlO cluster with theoretical calculations.

Inhibition of Kv1.1 channels ameliorates Cu(II)-induced microglial activation and cognitive impairment in mice.

Microglia-mediated neuroinflammation plays a critical role in neuronal damage in neurodegenerative disorders such as Alzheimer's disease. Evidence shows that voltage-gated potassium (Kv) channels regulate microglial activation. We previously reported that copper dyshomeostasis causes neuronal injury via activating microglia.

Moderately mechanically activated starch in improving protein digestibility: Application in noodles.

The aim of this study was to investigate the mechanism of protein digestibility improvement by exploring the changes in structural characteristics of proteins in noodles with varying levels of mechanically activated starch. Therefore, different levels of mechanically activated wheat starch were mixed with refined wheat flour to produce noodles. Results showed that moderately mechanically activated starch could significantly improve protein digestibility and noodles containing 8.

A novel lncRNA PDG1 targets NADP-ME to modulate TCA cycle and JH in Aspongopus chinensis diapause.

Diapause is essential for insect survival under adverse environmental conditions and plays a crucial role in regulating reproduction. However, the role of long non-coding RNAs (lncRNAs) in this process remains unclear. In this study, we investigated the function of lncRNAs in the diapause of Aspongopus chinensis.

Unraveling the mechanisms underlying the fluorescent probe detection of microcystin-LR and its binding with CT-DNA.

Cyanobacteria blooms are concerning due to algal toxins like microcystin-leucine arginine (MC-LR). Despite progress in detecting MC-LR and understanding its toxic effects, including calf thymus DNA (CT-DNA) damage, the mechanisms for fluorescent probe detection of MC-LR and its binding to CT-DNA are poorly understood. In this study, we designed three fluorescent probes for MC-LR detection.

Structural characteristics of a heteropolysaccharide from Ganoderma lucidum and its protective effect against Alzheimer's disease via modulating the microbiota-gut-metabolomics.

Ganoderma lucidum is a traditional Chinese medicine used to treat Alzheimer's disease (AD), whose main active ingredient is polysaccharides. A heteropolysaccharide named GLPZ-1 was isolated from Ganoderma lucidum. GLPZ-1 (6.

A novel method for the rapid determination of phenolic compounds based on the nanozyme with laccase-like activity.

Phenolic compounds are prevalent in domestic and industrial effluents, leading a serious environmental hazard. Paper-based analysis device mediated by nanozymes has shown great potential in portable visual determination of phenolic compounds in the environment. In this work, we used nicotinic acid derivatives such as pyridine-2,3-dicarboxylic acid, 2-methylnicotinic acid and 2-aminonicotinic acid by coordinating copper (II) acetate monohydrate coordination to obtain Cu2-COOHNA, Cu2-CHNA, Cu2-ANA nanozymes with laccase-activity.

Deciphering intricate associations between vigorous development and novel metabolic preferences of partial denitrification/anammox granular consortia within mainstream municipal wastewater.

There is limited understanding of the granular partial denitrification/anammox (PD/A) microbiota and metabolic hierarchy specific to municipal wastewater treatment, particularly concerning the multi-mechanisms of functional differentiation and granulation tendencies under high-loading shocks. Therefore, this study utilized fragmented mature biofilm as the exclusive inoculum to rapidly establish a granular PD/A system. Following long-term feeding with municipal wastewater, PD/A process reached a total nitrogen removal efficiency of 97.

Changes in methanogenic performance and microbial community during gradual transition from co-digestion with food waste to mono-digestion of rice straw.

This study investigated the performance and phase-specific characteristics of mesophilic co-digestion of food waste (FW) with rice straw (RS) at different RS proportions (40 %, 60 %, and 80 %), as well as mono-digestion of RS. The system achieved optimal performance at 40 % RS content, with a methane yield of 383.8 mL/g-VS and cellulose removal efficiency exceeding 75 %.

Characteristics of fecal mycobiota and bacteriota in laying hens during different laying periods.

Mycobiota represents an important component of the gut microbiome in poultry and plays important roles in host nutrition and metabolism. However, the understanding of gut mycobiota in laying hens during the production cycle is limited. The present study aimed to characterize the structure and diversity of fecal mycobiota and bacteriota and examine the interplays between both microbial communities in laying hens during different laying periods.

Neurophysiological data augmentation for EEG-fNIRS multimodal features based on a denoising diffusion probabilistic model.

Background And Objective: The hybrid brain computer interfaces (BCI) combining electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have attracted extensive attention for overcoming the decoding limitations of the single-modality BCI. With the deepening application of deep learning approaches in BCI systems, its significant performance improvement has become apparent. However, the scarcity of brain signal data limits the performance of deep learning models.

DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification.

Background And Objective: Single-source domain generalization (SSDG) aims to generalize a deep learning (DL) model trained on one source dataset to multiple unseen datasets. This is important for the clinical applications of DL-based models to breast cancer screening, wherein a DL-based model is commonly developed in an institute and then tested in other institutes. One challenge of SSDG is to alleviate the domain shifts using only one domain dataset.

Optimizing low-temperature CO oxidation under realistic combustion conditions: The impact of CeO morphology on Au/CeO catalysts.

The development of carbon monoxide oxidation catalysts for complex gas environments faces significant challenges in fire scenarios. Only a few representative gases are used as interfering components in simulated real smoke under laboratory conditions, which cannot accurately reflect the performance of catalysts in a real fire. Herein, Au/CeO catalysts with high activity were prepared by adjusting the morphology (rod, cube, polyhedron and irregular particles) and exposed crystal surface ratio of CeO.

Establishment of a novel large-scale targeted metabolomics method based on NFSWI-DDA mode utilizing HRMS and TQ-MS.

Metabolites identification is the major bottleneck in untargeted LC-MS metabolomics, primarily due to the limited availability of MS information for most detected metabolites in data dependent acquisition (DDA) mode. To solve this problem, we have integrated the iterative, interval, and segmented window acquisition concepts to develop an innovative non-fixed segmented window interval data dependency acquisition (NFSWI-DDA) mode, which achieves comparable MS coverage to data independent acquisition (DIA) mode. This acquisition strategy harnesses the strengths of both DDA and DIA, which could provide extensive coverage and excellent reproducibility of MS spectra.