Multispectral imaging-based detection of apple bruises using segmentation network and classification model.

Bruises can affect the appearance and nutritional value of apples and cause economic losses. Therefore, the accurate detection of bruise levels and bruise time of apples is crucial. In this paper, we proposed a method that combines a self-designed multispectral imaging system with deep learning to accurately detect the level and time of bruising on apples.

Nanofiltration Membranes for Efficient Lithium Extraction from Salt-Lake Brine: A Critical Review.

The global transition to clean energy technologies has escalated the demand for lithium (Li), a critical component in rechargeable Li-ion batteries, highlighting the urgent need for efficient and sustainable Li extraction methods. Nanofiltration (NF)-based separations have emerged as a promising solution, offering selective separation capabilities that could advance resource extraction and recovery. However, an NF-based lithium extraction process differs significantly from conventional water treatment, necessitating a paradigm shift in membrane materials design, performance evaluation metrics, and process optimization.

Carbon-doped bimetallic oxide nanoflakes for simultaneous electrochemical analysis of ascorbic acid, uric acid, and acetaminophen in sweat.

Non-invasive continuous detection using tears or sweat as substitutes for blood samples has become an emerging method for real-time monitoring of human health. However, its development is limited by the low sample volume and low level of analytes. The simultaneous determination of multi-analytes with highly sensitive electrochemical sensing platforms has undoubtedly resulted in breakthrough innovations.

Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In recent years, convolutional neural networks (CNNs) have achieved notable success in medical image analysis, though their performance typically relies on large-scale, high-quality labeled datasets.

Establishment and validation of HPLC methods for the determination of folic acid and parabens antimicrobial agents on folic acid oral solution.

Background: As the common antibacterial drugs in folic acid oral liquid, parabens are listed as mandatory substances in the quality standard. Both the Chinese Pharmacopoeia and the United States Pharmacopoeia use high performance liquid chromatography for the determination of folic acid, but the quantitative methods of parabens are different. Pharmacopoeias use different instruments to quantify folic acid and parabens, resulting in cumbersome and cumbersome detection methods.

Dynamic responses in bioaugmentation of petroleum-contaminated soils using thermophilic degrading consortium HT: Hydrocarbons, microbial communities, and functional genes.

Bioaugmentation offers an effective strategy for the bioremediation of petroleum-contaminated soils. However, little is known about petroleum hydrocarbons (PHs) degradation with thermophilic consortium application under high temperature. A microcosm was established to study hydrocarbons degradation, microbial communities and functional genes response using a thermophilic petroleum-degrading consortium HT.

Multiscale Engineered Bionic Solid-State Electrolytes Breaking the Stiffness-Damping Trade-Off.

All-solid-state lithium metal batteries are regarded as next-generation devices for energy storage due to their safety and high energy density. The issues of lithium dendrites and poor mechanical compatibility with electrodes present the need for developing solid-state electrolytes with high stiffness and damping, but it is a contradictory relationship. Here, inspired by the superstructure of tooth enamel, we develop a composite solid-state electrolyte composed of amorphous ceramic nanotube arrays intertwined with solid polymer electrolytes.

The association between the dietary index for gut microbiota and metabolic dysfunction-associated fatty liver disease: a cross-sectional study.

Background: The relationship between the gut microbiome and metabolic dysfunction-associated fatty liver disease (MAFLD) has garnered increasing attention. However, the association between the dietary index for gut microbiota (DI-GM), a measure of microbiome diversity, and MAFLD has yet to be fully explored.

Methods: Data from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) were analyzed, including 7243 participants.

Determination of osimertinib concentration in rat plasma and lung/brain tissues.

Objectives: The aim of this study was to establish an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the detection of osimertinib in rat plasma, lung and brain tissues.

Methods: Forty-eight rats were randomly divided into an experimental group (receiving osimertinib at doses of 5, 8, and 10 mg/kg) and a control group. After continuous intragastric administration for 15 days, samples of blood, lung, and brain tissue were collected.

Efficient Hg(Ⅱ) removed by l-cysteine modified UiO-66 through chemical adsorption via a facile partial ligand replacement strategy.

In this work, UiO-66-l-cys with enhanced adsorption capacity for Hg(Ⅱ) in water was synthesized through a facile two-step partial ligand replacement strategy. The presence of the functional groups significantly enhanced the capacity of the material for Hg(Ⅱ). According to the Langmuir model, the maximum theoretical adsorption capacity was calculated to be 1321.

Proteolysis-targeting influenza vaccine strains induce broad-spectrum immunity and in vivo protection.

Generating effective live vaccines from intact viruses remains challenging owing to considerations of safety and immunogenicity. Approaches that can be applied in a systematic manner are needed. Here we created a library of live attenuated influenza vaccines by using diverse cellular E3 ubiquitin ligases to generate proteolysis-targeting (PROTAR) influenza A viruses.

PROTAR Vaccine 2.0 generates influenza vaccines by degrading multiple viral proteins.

Manipulating viral protein stability using the cellular ubiquitin-proteasome system (UPS) represents a promising approach for developing live-attenuated vaccines. The first-generation proteolysis-targeting (PROTAR) vaccine had limitations, as it incorporates proteasome-targeting degrons (PTDs) at only the terminal ends of viral proteins, potentially restricting its broad application. Here we developed the next-generation PROTAR vaccine approach, referred to as PROTAR 2.

Dual Photoredox and Copper-Catalyzed Asymmetric Remote C(sp)-H Alkylation of Hydroxamic Acid Derivatives with Glycine Derivatives.

Dual photoredox and copper-catalyzed remote asymmetric C(sp)-H alkylation of hydroxamic acid derivatives with glycine derivatives via a 1,5-hydrogen transfer (1,5-HAT) process has been realized. The reaction was characterized by redox-neutral and mild conditions, good yields, excellent enantioselectivity, and broad substrate scope. This protocol provides a straightforward and efficient strategy to prepare highly valuable enantioenriched noncanonical α-amino acids.

A study on the variation of cytokine and electrolyte levels in rhesus macaques, cynomolgus monkeys, and Assamese macaques.

Background: Non-human primates (NPHs), such as rhesus macaques, cynomolgus monkeys, and Assamese macaques, play a crucial role in biomedical research. However, baseline cytokine and electrolyte data for these three species, particularly data stratified by age and sex, are limited. Therefore, the aim of this study was to establish and analyze age- and sex-specific cytokine and electrolyte profiles in these three species.

PET Imaging of Solid Tumors with a G-Quadruplex-Targeting F-Labeled Peptide Probe.

Positron emission tomography (PET) is a common imaging technique and can provide accurate information about the size, shape, and location of tumors. Recent evidence has shown that G-quadruplex structures (G4s) are identified in human oncogenes, and these special structures are recognized as diagnostic cancer markers and drug targets for anticancer therapies. Although a number of techniques for in vivo imaging of G4s have been developed, achieving sufficient sensitivity and selectivity in vivo remains challenging.

Targeting deubiquitinase USP7-mediated stabilization of XPO1 contributes to the anti-myeloma effects of selinexor.

Background: Targeting exportin1 (XPO1) with Selinexor (SEL) is a promising therapeutic strategy for patients with multiple myeloma (MM). However, intrinsic and acquired drug resistance constitute great challenges. SEL has been reported to promote the degradation of XPO1 protein in tumor cells.

YTHDF1-mediated m6A modification of GBP4 promotes M1 macrophage polarization in acute lung injury.

Background: Acute lung injury (ALI) is a severe condition with multifaceted causes, including inflammation and oxidative stress. This research investigates the influence of m6A (N6-methyladenosine) modification on GBP4, a protein pivotal for macrophage polarization, a critical immune response in ALI.

Methods: Utilizing a mouse model to induce ALI, the study analyzed GBP4 expression in alveolar macrophages.

Leisure-Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses.

Physical inactivity and sedentary behavior are associated with higher risks of age-related morbidity and mortality. However, whether they causally contribute to accelerating biological aging has not been fully elucidated. Utilizing the largest available genome-wide association study (GWAS) summary data, we implemented a comprehensive analytical framework to investigate the associations between genetically predicted moderate-to-vigorous leisure-time physical activity (MVPA), leisure screen time (LST), and four epigenetic age acceleration (EAA) measures: HannumAgeAccel, intrinsic HorvathAgeAccel, PhenoAgeAccel, and GrimAgeAccel.

Artificial intelligence and assisted reproductive technology: A comprehensive systematic review.

The objective of this review is to evaluate the contributions of Artificial Intelligence (AI) to Assisted Reproductive Technologies (ART), focusing on its role in enhancing the processes and outcomes of fertility treatments. This study analyzed 48 relevant articles to assess the impact of AI on various aspects of ART, including treatment efficacy, process optimization, and outcome prediction. The effectiveness of different machine learning paradigms-supervised, unsupervised, and reinforcement learning-in improving ART-related procedures was particularly examined.

Role of data-driven regional growth model in shaping brain folding patterns.

The surface morphology of the developing mammalian brain is crucial for understanding brain function and dysfunction. Computational modeling offers valuable insights into the underlying mechanisms for early brain folding. Recent findings indicate significant regional variations in brain tissue growth, while the role of these variations in cortical development remains unclear.

Dual functional coordination interactions enable fast polysulfide conversion and robust interphase for high-loading lithium-sulfur batteries.

The stable operation of high-capacity lithium-sulfur batteries (LSBs) has been hampered by slow conversion kinetics of lithium polysulfides (LiPSs) and instability of the lithium metal anodes. Herein, 6-(dibutylamino)-1,3,5-triazine-2,4-thiol (DTD) is introduced as a functional additive for accelerating the kinetics of cathodic conversion and modulating the anode interface. We proposed that a coordination interaction mechanism drives the polysulfide conversion and modulates the Li solvated structure during the binding of the N-active site of DTD to LiPSs and lithium salts.

Protocol for the development of a guideline on post-extubation respiratory support for mechanically ventilated patients in the ICU.

Unlabelled: Prophylactic respiratory support for patients after extubation is effective in improving their outcomes and prognosis. However, the optimal post-extubation respiratory support for different populations and disease types of mechanically ventilated patients remains controversial, and there is a lack of detailed, multidisciplinary, evidence-based recommendations for clinical application.

Methods And Analysis: This protocol strictly follows the development process outlined in the WHO Handbook for Guideline Development and Guidelines 2.

Crosstalk between WNT signaling and ferroptosis in cancer.

Cancer remains one of the most formidable challenges in the medical field in this century, largely due to its poorly understood pathogenesis. Fortunately, recent advancements in the understanding of cancer pathogenesis have helped identify more therapeutic targets for improved treatment outcomes. The WNT signaling pathways are highly conserved cascades that participate in diverse physiological processes, such as embryonic development, tissue homeostasis, and tissue regeneration.

Elevated miR-221-3p inhibits epithelial-mesenchymal transition and biochemical recurrence of prostate cancer via targeting KPNA2: an evidence-based and knowledge-guided strategy.

Background: Prostate cancer (PCa) is commonly occurred among males worldwide and its prognosis could be influenced by biochemical recurrence (BCR). MicroRNAs (miRNAs) are functional regulators in carcinogenesis, and miR-221-3p was reported as one of the significant candidates deregulated in PCa. However, its regulatory pattern in PCa BCR across literature reports was not consistent, and the targets and mechanisms in PCa malignant transition and BCR are less explored.