Metabologenomics-Driven Discovery of Nocardimicins from a Psychrophilic sp. Strain.

A combined strategy of 2D-NMR-metabolomics-driven substructure tracking with genome mining led to the targeted discovery of 10 nocobactin-type lipopeptides (-) from the Arctic-derived phychrophillic sp. L-016, among which - are new compounds, named nocardimicins S-W. The phenoxazole moiety in -, featuring unique NMR values and correlations, was used as a probe for tracking nocardimicin analogues.

Quinoidal Semiconductor Nanoparticles for NIR-II Photoacoustic Imaging and Photoimmunotherapy of Cancer.

Photoagents with ultra-high near-infrared II (NIR-II) light energy conversion efficiency hold great promise in tumor phototherapy due to their ability to penetrate deeper tissues and minimize damage to surrounding healthy cells. However, the development of NIR-II photoagents remain challenging. In this study, an all-fused-ring quinoidal acceptor-donor-acceptor (A-D-A) molecule, SKCN, with a BTP core is synthesized, and nanoparticles named FA-SNPs are prepared.

Antimicrobial resistance and virulence factors analysis of a multidrug-resistant Acinetobacter baumannii isolated from chickens using whole-genome sequencing.

Multidrug-resistant (MDR) Acinetobacter baumannii (A. baumannii) is currently recognized not only as a significant nosocomial pathogen but also is an emerging bacterial infection in food-producing animals, posing a critical threat to global health. However, this is a hindrance to detailed bioinformatic studies of MDR A.

30 m 5-yearly land cover maps of Qilian Mountain Area (QMA_LC30) from 1990 to 2020.

The Qilian Mountain Area (QMA) serves as a crucial ecological barrier and strategic water conservation zone in China. Recent years have seen heightened social attention to environmental issues within the QMA, underscoring the need for accurate and continuous land cover maps to support ecological monitoring, analysis, and forecasting. This paper presents the QMA_LC30 dataset, which includes 9 land cover categories and spans the period from 1990 to 2020, with updates every 5 years.

Formation of alginate gel stabilized silica nanoparticles for encapsulation and topical delivery of minoxidil.

Silica nanoparticles-embedded smart-gels are efficient drug carrier systems due to their structural flexibility, high porosity, and ease of formulation development. Herein, the extent of interaction of minoxidil (MXD), a potent vasodilator prodrug, with silica nanoparticles (SiNPs) and alginate (ALG) was investigated. The SiNPs were prepared by extracting silica from rice husk ash, and these SiNPs were further used to prepare MXD-loaded-SiNPs (MXD-SiNPs) by loading them with an appropriate amount of MXD.

, a Small Family of ABA Up-Regulated EAR Motif-Containing Proteins Regulate ABA Responses in Arabidopsis.

The abscisic acid (ABA) signaling pathway is crucial for regulating downstream ABA-responsive genes, which influence plant responses to ABA and abiotic stresses. However, many ABA-responsive genes remain poorly characterized. This study reports on the identification and characterization of ABA up-regulated EAR motif-containing proteins (), a novel family of EAR motif-containing proteins in .

Toxicological effects and molecular metabolic of polystyrene nanoplastics on soybean (Glycine max L.): Strengthening defense ability by enhancing secondary metabolisms.

Nanoplastics, as emerging pollutants, have attracted worldwide concern for their possible environmental dangers. The ingestion and accumulation of nanoplastics in crops can contaminate the food chain and have unintended consequences for human health. In this study, we revealed the effects of polystyrene nanoplastics (PS-NPs; 80 nm) at different concentrations (0, 10, 100 mg L) on soybean (Glycine max L.

polyglycoside tablets attenuated the progression of hepatocellular carcinoma by targeting IL-6 and downstream signaling pathways in a multi-target manner.

polyglycoside tablets (TWPT) have traditionally been used to treat certain inflammatory diseases. This study validated TWPT as a novel application in hepatocellular carcinoma treatment through multiple targets, thereby expanding its clinical medication scope. TWPT exhibited a low toxicity and a significantly antihepatoma effects and .

Structure and crystallization behavior of aqueous KCl-MgCl solutions.

Potassium resources are abundant in the brine of chloride-type salt lakes. The main challenge in the efficient separation and extraction of potassium from salt lakes lies in the insufficient understanding of the structure and crystallization behavior of brine solutions and their correlation. In the present work, X-ray scattering (XRS) and computational simulation methods were used to study the microstructure of KCl and MgCl mixed solutions, including the hydration and association structures of ions in the solutions.

Controllable Synthesis of Benzo[]furo[2,3-]azepines or Furo[3,2-]indoles via Intermolecular Oxidative Annulation of 2-(Furan-2-yl)anilines and Propargyl Carbonates versus Intramolecular C-H Amination Reactions.

Two novel Pd-catalyzed protocols for the controllable synthesis of benzo[]furo[2,3-]azepines and furo[3,2-]indoles have been developed by intermolecular oxidative annulation of 2-(furan-2-yl)anilines and propargyl carbonates versus intramolecular C-H amination reactions. These two protocols feature great scalability, functional group tolerance, and relatively mild reaction conditions. Notably, the robust methodologies could also provide valuable opportunities for assembling azepine-fused benzothiophene, indole-fused benzothiophene, and indole-fused benzimidazole, which may have potential applications in the synthesis of related pharmaceuticals or polymeric materials.

An interpretable deep learning model for hallux valgus prediction.

Background: This work developed an interpretable deep learning model to automatically annotate landmarks and calculate the hallux valgus angle (HVA) and the intermetatarsal angle (IMA), reducing the time and error of manual calculations by medical experts and improving the efficiency and accuracy of hallux valgus (HV) diagnosis.

Methods: A total of 2,000 foot X-ray images were manually labeled with 12 landmarks by two surgical specialists as training data for the deep learning model. The important parts of the foot X-ray images centered on the proximal phalanx of the bunion (PH1), the first metatarsal (MT1), and the second metatarsal (MT2) were segmented using the proposed AG-UNet in the study.

Mitigating Crosstalk by Slurry Additive Toward 5 V Cobalt-Free LiNiMnO Cathode.

LiNiMnO (LNMO), with its spinel symmetry, emerges as a promising cathode material for high-voltage lithium-ion batteries (LIBs). Nonetheless, the vulnerability of LNMO to interfacial degradation, particularly electrolyte breakdown during high-voltage operation, compromises its long-term cycling performance. To overcome this longstanding challenge, a slurry additive-polyester-urethane-acrylate (PEUA)-to form a multi-functional ultra-thin electrode coating, enhancing the lifespan and energy density of LIBs is introduced.

Resource distribution, pharmacological activity, toxicology and clinical drugs of β-Carboline alkaloids: An updated and systematic review.

β-Carboline alkaloids are a broad class of indole alkaloids that were first isolated from Peganum harmala L., a traditional Chinese herbal remedy. β-Carboline alkaloids have been found to have many pharmacological activities, including anti-inflammatory, antioxidant, and anti-cancer properties.

Rational Engineering of a Dynamic, Enzyme-Driven DNA Walker for Intracellular Dual-Enzyme Activity Sequentially Monitoring and Imaging.

Monitoring enzyme activity is crucial in both scientific research and clinical applications. However, abnormalities in a single enzyme's activity can indicate multiple diseases, limiting the specificity of single enzyme activity monitoring in clinical diagnosis. We developed a dynamic DNA walker that can be sequentially activated by two enzymes, enabling the monitoring and imaging of both enzyme activities within cells.

Heat dissipation analysis and multi-objective optimization of microchannel liquid cooled plate lithium battery pack.

An efficient battery pack-level thermal management system was crucial to ensuring the safe driving of electric vehicles. To address the challenges posed by insufficient heat dissipation in traditional liquid cooled plate battery packs and the associated high system energy consumption. This study proposes three distinct channel liquid cooling systems for square battery modules, and compares and analyzes their heat dissipation performance to ensure battery safety during high-rate discharge.

A rolling circle amplification-based DNAzyme walker against intracellular degradation for imaging tumor cells' microRNA.

We present a novel DNA molecular machine (RCA-D-Walker) that integrates a DNAzyme-based molecular beacon with RCA-based vectors for miRNA imaging in tumor cells. It can accurately target tumor cells through the sgc8 aptamer. The target miRNA can restore the DNAzyme's ability to cleave the substrate, which in turn produces an amplified fluorescent signal.

Exploring ultraviolet and nitrous acid-induced mutagenesis of Rhizopus oligosporus for extracellular inulinase production under solid-state culture.

This study details the synthesis and optimization of extracellular inulinase through solid-state fermentation using improved strain of Rhizopus oligosporus. The wild-type was procured from IIB culture bank and subsequently enhanced through UV-radiation and Nitrous acid treatments. The resulting mutant strain was subjected to further optimization for heightened enzyme production via solid-state fermentation.

Assessing knowledge anxiety in researchers: a comprehensive measurement scale.

Background: The rapid pace of knowledge production has introduced a phenomenon termed "knowledge anxiety", a psychological state where researchers feel inadequate in keeping up with emerging information. This state can negatively affect productivity and mental well-being, yet there is no comprehensive tool to measure knowledge anxiety across different research domains.

Methods: We employed a mixed-methods approach to develop a multidimensional scale for assessing knowledge anxiety.

Chiral Bimetallic Cuprous-Lead Hybrid Iodide Single Crystals toward Occurrence of Second Harmonic Generation.

Hybrid bimetallic halides with two different optical activities have exhibited excellent optical properties, which demonstrates great potential in the optoelectronic fields. To develop hybrid cuprous-lead bimetallic halides with unique non-centrosymmetric structures, we introduced the chiral cations /-2-CHN (CHN = methylpiperazinium) into inorganic frameworks containing two different heterometallic cuprous and lead cations, respectively, and successfully obtained the novel chiral hybrid bimetallic halides of (/-2-CHN)CuPbI single crystals by the hydrothermal method. Bimetallic anionic [CuPbI] framework structures were constructed from two different [PbI] and two different [CuI] twisted polyhedra, and band gap calculations were demonstrated.

Effects of transition metal substitution doping on the structure and magnetic properties of biphenylene.

This study employed first-principles calculations to comprehensively explore the structural, electronic, and magnetic properties of transition metal-doped biphenylene networks (BPNs). Initially, we optimized the most stable structures of biphenylene doped with various transition metals (Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, and Zn) and analysed their doping energies and electronic structures in detail. The results indicate that the introduction of transition metals induces varying degrees of spin polarization.

The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.

This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial intelligence neural networks. First, a personalized assessment and analysis of athletes' nutritional needs are conducted, collecting various data including fitness tests, physiological monitoring, and surveys to establish a personalized nutritional needs model for athletes. In order to gain a more comprehensive understanding of the characteristics and requirements of aerobic athletes, exercise data are integrated with nutritional data, and deep learning analysis is performed using neural network algorithms.