Vectorized solar photovoltaic installation dataset across China in 2015 and 2020.

To achieve carbon neutrality, solar photovoltaic (PV) in China has undergone enormous development over the past few years. PV datasets with high accuracy and fine temporal span are crucial to assess the corresponding carbon reductions. In this study, we employed the random forest classifier to extract PV installations throughout China in 2015 and 2020 using Landsat-8 imagery in Google Earth Engine.

Disrupted brain networks underlying high-fidelity memory retrieval in subjective cognitive decline: A task-based fMRI study.

Introduction: Subjective cognitive decline (SCD) is linked to memory complaints and disruptions in certain brain regions identified by molecular imaging and resting-state functional magnetic resonance imaging studies. However, it remains unclear how these regions interact to contribute to both subjective and potential objective memory issues in SCD.

Methods: To address this gap, task-based imaging studies are essential.

Comprehensive site- and structure-specific profiling of N-glycosylation of edible bird's nest (EBN) proteome using label-free quantitative glycoproteomics.

Glycoproteins, which are involved in numerous biological functions, are among the most critical functional ingredients in an edible bird's nest (EBN). To gain a comprehensive understanding of the glycoprotein species within EBN, a label-free, site-specific glycoproteomic approach was used to analyze their N-glycoproteins, N-glycopeptides, and N-glycans systematically. A total of 127 N-glycoproteins were identified in EBN, of which 72 were found in house-EBN and 63 in cave-EBN, yielding 4195 and 5649 glycopeptides, respectively.

Multiple attention channels aggregated network for multimodal medical image fusion.

Background: In clinical practices, doctors usually need to synthesize several single-modality medical images for diagnosis, which is a time-consuming and costly process. With this background, multimodal medical image fusion (MMIF) techniques have emerged to synthesize medical images of different modalities, providing a comprehensive and objective interpretation of the lesion.

Purpose: Although existing MMIF approaches have shown promising results, they often overlook the importance of multiscale feature diversity and attention interaction, which are essential for superior visual outcomes.

Surface Microstructure Enhanced Cryogenic Infrared Light Emitting Diodes for Semiconductor Broadband Upconversion.

Broadband upconversion has various applications in solar photovoltaic, infrared and terahertz detection imaging, and biomedicine. The low efficiency of the light-emitting diodes (LEDs) limits the broadband upconversion performance. In this paper, we propose to use surface microstructures to enhance the electroluminescence efficiency (ELE) of LEDs.

Eye-Inspired Single-Pixel Imaging with Lateral Inhibition and Variable Resolution for Special Unmanned Vehicle Applications in Tunnel Inspection.

This study presents a cutting-edge imaging technique for special unmanned vehicles (UAVs) designed to enhance tunnel inspection capabilities. This technique integrates ghost imaging inspired by the human visual system with lateral inhibition and variable resolution to improve environmental perception in challenging conditions, such as poor lighting and dust. By emulating the high-resolution foveal vision of the human eye, this method significantly enhances the efficiency and quality of image reconstruction for fine targets within the region of interest (ROI).

Improved Point-of-Care Mass Spectrometry Analysis with Thin-Layer Chromatography-Based Two-Dimensional Separation and Spray Ionization.

Point-of-care testing (POCT) involves administering rapid on-site analysis to provide fast biochemical testing results. POCT reduces delays in clinical decision-making and eliminates the need to transport and prepare clinical samples for immediate diagnosis or clinical intervention by healthcare professionals. Herein, a novel methodology integrating thin-layer chromatography-based two-dimensional separation with miniature mass spectrometry was developed for rapid on-site clinical analysis.

Development of targeted safety hazard management plans utilizing multidimensional association rule mining.

Investigating hidden hazards and implementing closed-loop management are essential strategies for accident prevention in the mining industry. This study tackles a key challenge in applying association rule mining to the development of hazard management plans for underground mines. The current approach mainly focuses on hazard description data, often underutilizing critical information such as hazard time and location.

[Building a food image dataset based on intelligent recognition and weight estimation].

Objective: To improve the accuracy of food intelligent recognition and weight estimation technology, establish a large-scale food image dataset.

Methods: Building large-scale food image and ingredient datasets based on web crawler technology, professional manual collection, and regular user uploads.

Results: A big dataset was constructed containing over 1.

Analysis of Major Chemical Constituents in Jiuwei Decoction Based On Capillary Electrophoresis Coupled With Quadrupole Time-of-Flight Mass Spectrometry.

An analytical method for identifying the chemical constituents in the Chinese herbal combination Jiuwei decoction was established using capillary electrophoresis coupled with quadrupole time-of-flight mass spectrometry. Nine herbs were extracted with a 60:40 (v/v) ethanol/water solution to prepare the Jiuwei decoction. Electrophoretic separation was carried out using a 50 µm i.

Intelligent bacteria-targeting ZIF-8 composite for fluorescence imaging-guided photodynamic therapy of drug-resistant superbug infections and burn wound healing.

Infected burn wounds are characterized by persistent drug-resistant bacterial infection coupled with an inflammatory response, impeding the wound-healing process. In this study, an intelligent nanoparticle system (CCM+TTD@ZIF-8 NPs) was prepared using curcumin (CCM), an aggregation-induced emission luminogens (TTD), and ZIF-8 for infection-induced wound healing. The CCM+TTD@ZIF-8 NPs showed multiple functions, including bacteria targeting, fluorescence imaging and pH response-guided photodynamic therapy (PDT), and anti-inflammatory.

High-Brightness Color-Tunable AC-Driven Quantum Dot Light-Emitting Diodes for Integrated Passive High-Electric-Field Contactless Detection.

This work explores the carrier recombination dynamics of AC-driven quantum dot (QD) light-emitting diodes (AC-QLEDs) and proposes their application in the field of electric field contactless detection. Different sequences of green QD (GQD)/red QD (RQD) bilayer thin films as the emission layer of AC-QLEDs were fabricated via film transfer printing to ensure the complete morphology of each layer. AC-QLEDs with the emission layer as the sequence of GQD + RQD (GR-QLEDs) show a significantly enhanced carrier recombination efficiency due to its stable energy level structure, achieving the highest peak brightness ever recorded for vertically emitting brightness of 1648.

Photoinduced electron transfer enables cytochrome P450 enzyme-catalyzed reaction cycling.

Cytochrome P450 enzymes (CYPs), the members of the largest superfamily of enzymes in plant kingdom, catalyze a variety of functional group transformations involved in metabolite biosynthesis, end-product derivatization, and exogeneous molecule detoxification. Nevertheless, CYPs' functional characterization and practically industrial application have been largely encumbered by their critical dependency on the reducing equivalent for the catalytic cycling, driven by the tedious electron relay mediated by CYP reductase (CPR). Here, we report a photoinduced electron transfer system that initiates and sustains the CYP-catalyzed reaction cycling.

Evaluation of volatile safety in children's play mats based on non-targeted screening and risk prioritization.

Given the widespread use of play mats and their close contact with children, it is crucial to identify potential chemical hazards associated with these products. In this study, 34 play mats, comprising four materials (3 EPE, 15 XPE, 5 PVC, 11 EVA), were subjected to non-targeted screening based on headspace gas chromatography-Orbitrap high-resolution mass spectrometry (HS-GC-Orbitrap HRMS), which screened out 71 volatile substances. The 20 significantly different substances were recognized by partial least squares discriminant analysis (PLS-DA), while the characteristic substances in each type of play mat were determined through clustering heat map and Venn diagram.

Non-targeted screening of illegal added hypoglycemic drugs and their derivatives in functional foods using characteristic fragment ions scanning based on liquid chromatography-high-resolution mass spectrometry.

Functional foods that are illegally adulterated with chemical hypoglycemic drugs or their derivatives pose serious risks to human health. However, the detection of these compounds is a challenge due to the unknown nature of their structures, particularly as many of these compounds are newly synthesized and lack standardized references. In this study, we developed a non-targeted screening strategy for detecting illegally added hypoglycemic drugs and their derivatives in oral solution and hard capsule functional foods.

Industrial digital radiographic image denoising based on improved KBNet.

 Industrial digital radiography (DR) images are essential for industrial inspections, but they often suffer from strong scatter, cross-talk, electronic noise, and other factors that affect image quality. The presence of non-zero mean noise and neighborhood correlation loss in 1D array scanning poses significant challenges for denoising. To enhance the denoising process of industrial DR images and address the issues of low resolution and noise, we propose an improved KBNet (iKBNet) that incorporates lightweight modifications and introduces novel elements to the original KBNet.

An accurate IDMS-based method for absolute quantification of phytohemagglutinin, a major antinutritional component in common bean.

Phytohemagglutinin (PHA), a natural tetramer comprising PHA-E and PHA-L subunits that preferentially bind to red and white blood cells, respectively, constitutes a significant antinutritional and allergenic factor in common bean seeds. The accurate measurement of PHA content is a prerequisite for ensuring food safety inspections and facilitating genetic improvements in common bean cultivars with reduced PHA levels. Currently, mainstream methods for PHA quantification involve hemagglutination assays and immunodetection, but these methods often require fresh animal blood and lack specificity and accuracy.

Development, validation, and clinical application of LC-MS/MS method for simultaneous determination of ibrutinib, zanubrutinib, orelabrutinib, acalabrutinib, and their active metabolites in patients with B-cell lymphoma.

Bruton's tyrosine kinase inhibitors (BTKis) exhibit significant interindividual pharmacokinetics, making therapeutic drug monitoring (TDM) a promising approach for personalized therapy. However, simultaneous quantification of multiple BTKis poses technical challenges. A unified protocol for BTKis detection would be clinically desirable.

Assessing the AIR classification reliability for estimating pronation of the first metatarsal.

Background: Hallux valgus (HV) is a multiplanar deformity and surgical treatment is often guided by two-dimensional radiographic parameters. This study assessed the reliability and accuracy of the AIR classification(The first metatarsal head's lateral edge can be delineated as angular (type A), round (type R), or intermediate (type I) through visual inspection or circle measurements on weight-bearing radiographs.)commonly used in clinical settings to categorize the shape of the lateral edge of the first metatarsal head, against measurements from weight-bearing computed tomography (WBCT).

[Analysis of inorganic elements in Bambusae Concretio Silicea based on inductively coupled plasma mass spectrometry].

Inductively coupled plasma mass spectrometry was employed to determine the content of 25 inorganic elements in Bambusae Concretio Silicea, and the elemental fingerprint was established according to the element content. SPSS 20.0 and SIMCA 14.

[Enzymatic reaction pattern of saponins in Gynostemma pentaphyllum and identification of their transformed products].

The activity of rare saponins is generally better than that of their prototypes. There are significant differences in the proportions and pharmacological effects of rare saponins/prototype saponins in Gynostemma pentaphyllum samples dried with different methods, which may be related to the reaction catalyzed by glucosidase. To explore the pattern of the enzymatic reaction catalyzed by glucosidase during the processing of G.

Absolute quantification of Neuron-specific enolase based on surface plasmon resonance.

Neuron-specific enolase (NSE) is currently the most reliable biomarker for small cell lung cancer (SCLC), which is important for disease monitoring, clinical evaluation and diagnosis. However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming operations, and the necessity for standards. In this study, we developed a calibration-free concentration analysis (CFCA) method based on surface plasmon resonance (SPR) technology, to accurately quantify the active concentration of NSE without relying on any standards.

Analysis of bottleneck technology identification and development characteristics in the electronic manufacturing industry.

In 2018, US government imposed a ban on Chinese electronics firm ZTE, prohibiting it from procuring chip products from American companies for a duration of seven years. Subsequently, ZTE experienced a shutdown. The concept of "bottleneck technology" gained prominence in diverse media outlets.

The F204S mutation in adrenodoxin oxidoreductase drives salinomycin resistance in Eimeria tenella.

Salinomycin is a polyether ionophore widely used for the treatment of coccidiosis in poultry. However, the emergence of coccidia strains resistant to salinomycin presents challenges for control efforts, and the mechanisms underlying this resistance in Eimeria remain inadequately understood. In this study, 78 stable salinomycin-resistant strains were generated through experimental evolution approaches.