Genome-wide RNAi screening in C. elegans reveals OXPHOS and pyrimidine synthesis pathways as PKA regulators.

Protein kinase A (PKA) plays a crucial and conserved role in various biological processes across species. Despite its significance, tissue-level regulatory networks controlling PKA activity remain incompletely characterized. In this study, we develop a live animal PKA sensor that can faithfully indicate changes in PKA activity in the intestines of Caenorhabditis elegans (C.

Complex-mediated nucleophilic aromatic substitution with aryl nitriles to realize intramolecular flapping-restricted D-A AIEgens for bioimaging.

Donor-acceptor (D-A) compounds are particularly important in optoelectronic and biological applications. However, they are normally synthesized in the presence of transition metal catalysts. Herein, we report a metal-free method by a complex-mediated nucleophilic aromatic substitution of aryl nitriles with amines.

Genome-wide RNAi analysis in adult Caenorhabditis elegans unveils genes controlling age-related fat accumulation.

Fat accumulation with aging occurs in adults across species, yet its underlying mechanisms remain poorly understood, partly due to limited number of studiesspecifically targeting adulthood. Here, we present the first genome-wide analysis of age-associated fat accumulation during adulthood in Caenorhabditis elegans. Unprecedently, our adult-specific RNAi screen identified a limited subset of genes influencing adult fat dynamics, contrasting with the extensive gene sets uncovered in prior developmental RNAi screens.

Recombinant Hypoallergenic Cat Allergy Vaccines.

Background: Molecular forms of allergen-specific immunotherapy (AIT) for cat allergy are needed. Fel d 1, Fel d 4, and Fel d 7 are the most important cat allergens.

Methods: IgE epitopes of Fel d 4 and Fel d 7 were mapped by blocking allergic patients' IgE binding with allergen peptide-specific antisera.

Precise Anchoring of Pb-Based Defects for Efficient Perovskite Solar Cells: A Universal Strategy from Lab-Scale Small-Area Devices to Large-Area Modules.

Solution-processed perovskite solar cells (PSCs) generally suffer from serious Pb-based defects, and the issue becomes more pronounced during the upscaling process. A universal strategy that bridges small-area devices and large-area modules is imperative for advancing PSC technology from the lab toward market readiness. Here, to effectively address the Pb-based defect proliferation issues of perovskite surfaces, an ,-maleoyl-glycine (NMG) post-treatment anchoring strategy was proposed.

Enhanced Enzymatic Hydrolysis of Tobacco Stalk via Simultaneous Deconstruction and Modification through Triton X-100-Mediated Organosolv Pretreatment.

Tobacco stalks (TS) present substantial potential for biofuel and biochemical production; however, their complex lignin structures and tightly bound carbohydrates pose significant challenges for enzymatic hydrolysis due to high recalcitrance. This study explores Triton-X 100-mediated 1,4-butanediol combined with AlCl pretreatment for TS fractionation towards improving enzymatic hydrolysis. Optimized pretreatment conditions achieved a significant removal of 87.

Moderate static magnetic field modulated lipid metabolism abnormalities induced by continuous artificial light in Caenorhabditis elegans: Role of iron ions.

Excessive use of artificial light sources has led to a significant increase in light pollution, which has raised serious concerns due to its serious adverse effects on lipid metabolism. Although moderate static magnetic fields (SMFs) have shown potential in health intervention and treatment as non-invasive and highly permeable physical field, the influence of SMFs on lipid metabolic disturbance induced by lights remains largely unknown. In this study, we explored the lipid metabolism of Caenorhabditis elegans (C.

AI-driven eyelid tumor classification in ocular oncology using proteomic data.

Eyelid tumors pose diagnostic challenges due to their diverse pathological types and limited biopsy materials. This study aimed to develop an artificial intelligence (AI) diagnostic system for accurate classification of eyelid tumors. Utilizing mass spectrometry-based proteomics, we analyzed proteomic data from eight tissue types and identified eighteen novel biomarkers based on 233 formalin-fixed, paraffin-embedded (FFPE) samples from 150 patients.

Multi-Frequency Microwave Sensing System with Frequency Selection Method for Pulverized Coal Concentration.

The accurate measurement of pulverized coal concentration (PCC) is crucial for optimizing the production efficiency and safety of coal-fired power plants. Traditional microwave attenuation methods typically rely on a single frequency for analysis while neglecting valuable information in the frequency domain, making them susceptible to the varying sensitivity of the signal at different frequencies. To address this issue, we proposed an innovative frequency selection method based on principal component analysis (PCA) and orthogonal matching pursuit (OMP) algorithms and implemented a multi-frequency microwave sensing system for PCC measurement.

How social desirability impacts life satisfaction among Chinese youth: mediators of mental toughness and emotional intelligence.

Social desirability has been recognized as a predictor of life satisfaction but it has yet to know the mechanism of this effect. This research aimed to explore the relationship between social desirability and life satisfaction, as well as the mediation effects of mental toughness and emotional intelligence. In Sample 1, we asked 1200 youths (12-24 years old) to complete an online questionnaire measuring social desirability, life satisfaction, mental toughness, and emotional intelligence.

Efficacy and safety of direct-acting antiviral regimen for patients with hepatitis C virus genotype 2: a systematic review and meta-analysis.

Background: Direct-acting antivirals (DAAs) show high cure rates in treating chronic hepatitis C virus (HCV). However, the effect of DAAs on patients infected with genotype 2 (GT2) is difficult to determine despite the availability of several DAA regimens.

Methods: A systematic search of six databases (PubMed, Embase, Cochrane Library, Web of Science, CNKI, and Clinicaltrial.

A method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis.

Objective: To develop and validate a method for detecting ureteral stent encrustations in medical CT images based on Mask-RCNN and 3D morphological analysis.

Method: All 222 cases of ureteral stent data were obtained from the Fifth Affiliated Hospital of Sun Yat-sen University. Firstly, a neural network was used to detect the region of the ureteral stent, and the results of the coarse detection were completed and connected domain filtered based on the continuity of the ureteral stent in 3D space to obtain a 3D segmentation result.

Dual-targeting of tumor cells and subcellular endoplasmic reticulum AgPPIX-based Janus nanoparticles for photodynamic/immunotherapy against TNBC.

Triple-negative breast cancer (TNBC) is known for its strong invasiveness, high recurrence rates, and poor prognosis. Heme oxygenase-1 (HO-1) is closely related to tumor invasion, metastasis, recurrence and formation of tumor immunosuppression. The expression of HO-1 is high in TNBC and low in normal tissues.

Comparative study on registration application of proprietary Chinese medicine in the Guangdong-Hong Kong-Macau Greater Bay Area of China.

Background: Proprietary Chinese medicine (PCM) is widely used in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA) of China. However, the regulatory frameworks and procedures for PCM registration in the region are not well-established, and there are differences among the three jurisdictions. The study is aimed to compare the legal basis, regulatory guidelines, application requirements, and evaluation criteria in each jurisdiction.

Regional scale terrace mapping in fragmented mountainous areas using multi-source remote sensing data and sample purification strategy.

As a stepped cross section of farmland built along the contour lines, terrace is widely distributed on hill-slopes. It changes the original surface slope and runoff coefficient, reduces soil nutrient loss, and has become the most important soil erosion control measure in China. Accurate terrace mapping at regional scale is crucial for soil conservation, agriculture sustainability and ecological planning.

Increased LOXL2 expression is related to poor prognosis in lung squamous cell carcinoma.

Background: The lysyl oxidate-like (LOXL) family was reported to be involved in the process of cancer development. However, the prognostic value of LOXL in lung cancer is unknown. We aimed to study the expression pattern and prognostic value of LOXL family members in lung squamous cell carcinoma (LUSC).

GenURL: A General Framework for Unsupervised Representation Learning.

Unsupervised representation learning (URL) that learns compact embeddings of high-dimensional data without supervision has achieved remarkable progress recently. However, the development of URLs for different requirements is independent, which limits the generalization of the algorithms, especially prohibitive as the number of tasks grows. For example, dimension reduction (DR) methods, t-SNE and UMAP, optimize pairwise data relationships by preserving the global geometric structure, while self-supervised learning, SimCLR and BYOL, focuses on mining the local statistics of instances under specific augmentations.

Can Double J stent encrustation be predicted by risk analysis and nomogram?: A retrospective case-control study.

To explore the risk factors and develop a nomogram to predict Double J stent encrustation incidence. The general demographic characteristics and underlying risk factors of 248 patients with upper urinary tract calculus who underwent endoscopic lithotripsy and Double J stenting at the Fifth Affiliated Hospital of Sun Yat-Sen University between January 1st, 2018 and January 1st, 2023 were retrospectively analyzed. Among them,173 patients were randomly selected to form the development cohort.

Albumins represent highly cross-reactive animal allergens.

Albumins from animals are highly cross-reactive allergens for patients suffering from immunoglobulin E (IgE)-mediated allergy. Approximately 20-30% of cat and dog allergic patients show IgE reactivity and mount IgE-mediated allergic reactions to cat and dog albumin. It is astonishing that allergic patients can develop specific IgE responses against animal albumins because these proteins exhibit a more than 70% sequence identity to human serum albumin (HSA) which is the most abundant protein in the blood of the human body.

Enhanced synergistic removal of Cu(II) and Cr(VI) with multifunctional biomass hydrogel from strong-acid media.

Simultaneous recovery of heavy metal ions (HMIs) such as Cu(II) and Cr(VI) from strong-acid media was a great challenge due to the inhibition of protons. Herein, a novel biomass hydrogel (CMC/PEI-PD) containing various groups (bis-picolylamine, amino, and hydroxyl groups) was newly prepared by a facile two-step process. The static experiments relating pH, kinetics and isothermal co-adsorption confirmed the synergistic effect towards Cu(II) and Cr(VI) consistently.

Integrated Smart Gas Tracking Device with Artificially Tailored Selectivity for Real-Time Monitoring Food Freshness.

The real-time monitoring of food freshness in refrigerators is of significant importance in detecting potential food spoiling and preventing serious health issues. One method that is commonly reported and has received substantial attention is the discrimination of food freshness via the tracking of volatile molecules. Nevertheless, the ambient environment of low temperature (normally below 4 °C) and high humidity (90% R.

Identifying ureteral stent encrustation using machine learning based on CT radiomics features: a bicentric study.

Obstructive: To develop and validate radiomics and machine learning models for identifying encrusted stents and compare their recognition performance with multiple metrics.

Methods: A total of 354 patients with ureteral stent placement were enrolled from two medical institutions and divided into the training cohort ( = 189), internal validation cohort ( = 81) and external validation cohort ( = 84). Based on features selected by Wilcoxon test, Spearman Correlation Analysis and least absolute shrinkage and selection operator (LASSO) regression algorithm, six machine learning models based on radiomics features were established with six classifiers (LR, DT, SVM, RF, XGBoost, KNN).