Comprehensive evaluation of groundwater quality in population-dense and extensive agricultural regions and study on its relationship with agricultural production and human activities.

Extensive agricultural regions commonly face issues of poor groundwater management, non-standard agricultural production practices, and unordered discharge of domestic pollution, leading to a continuous decline in groundwater quality and a sharp increase in risks. A comprehensive understanding of groundwater conditions and pollution is a crucial step in effectively addressing the water quality crisis. This study employs the Comprehensive Water Quality Index, Irrigation parameter, and Pollution Index to comprehensively investigate the groundwater quality in a typical agricultural area in Shandong, China, and assesses the suitability of groundwater for irrigation and the risks to human health.

Global identification and regulatory network analysis reveal the significant roles of lncRNAs during anther and pollen development in Arabidopsis.

A high-throughput sequencing identified 1283 lncRNAs in anthers at different stages in Arabidopsis and their relationship with protein-coding genes and miRNAs during anther and pollen development were analyzed. Long non-coding RNAs (lncRNAs) are important regulatory molecules involved in various biological processes. However, their roles in male reproductive development and interactions with miRNAs remained elusive.

Plasma-driven synthesis of nitrogen-doped graphene: unveiling the reaction mechanism and kinetic insights.

Context: The rotating arc plasma technique for the synthesis of nitrogen-doped graphene capitalizes on the distinctive attributes of plasma, presenting a straightforward, efficient, and catalyst-free strategy for the production of nitrogen-doped graphene. However, experimental outcomes generally fail to elucidate the atomic-level mechanism behind this process. Our research utilizes molecular dynamics simulations to explore theoretically the formation of radicals during the plasma-driven reaction between methane (CH₄) and nitrogen (N₂).

Three-dimensional MRI follicle segmentation and counting using SegmentWithSAM in the diagnosis of polycystic ovary syndrome.

Objective: This study aimed to investigate the diagnostic performance of Follicle numbers measured on ultrasound (US), conventional magnetic resonance imaging (2D MRI), and three-dimensional (3D) MRI in patients with polycystic ovary syndrome (PCOS) and to compare the diagnostic efficacy of these imaging modalities.

Method: In this prospective study, 58 PCOS patients and 60 healthy women underwent US, conventional 2D MRI, and 3D MRI. Clinical laboratory tests and ovarian volume were compared between PCOS and control groups.

Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.

Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.

Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.

(ZnO) Cluster Decorated 2D Porous CN Materials as Efficient Solar Cells.

Developing high-performance solar cells is a practical way to improve clean energy conversion efficiency. However, the performance of solar cells faces challenges such as fast carrier combination, poor stability, and limited solar light harvesting. Herein, we propose a strategy by decorating periodic holes in two-dimensional (2D) porous carbon-nitrogen (CN) materials with a zero-dimensional (0D) semiconducting (ZnO) cluster.

A High-Throughput Integrated Nontargeted Metabolomics and Lipidomics Workflow Using Microelution Enhanced Matrix Removal-Lipid for Comparative Analysis of Human Maternal and Umbilical Cord Blood Metabolomes.

Sample pretreatment for mass spectrometry (MS)-based metabolomics and lipidomics is normally conducted independently with two sample aliquots and separate matrix cleanup procedures, making the two-step process sample-intensive and time-consuming. Herein, we introduce a high-throughput pretreatment workflow for integrated nontargeted metabolomics and lipidomics leveraging the enhanced matrix removal (EMR)-lipid microelution 96-well plates. The EMR-lipid technique was innovatively employed to effectively separate and isolate non-lipid small metabolites and lipids in sequence using significantly reduced sample amounts and organic solvents.

FAP-targeted PET/CT imaging in patients with breast cancer from a prospective bi-center study: insights into diagnosis and clinic management.

Purpose: To evaluate the diagnostic accuracy and clinical impact of fibroblast activation protein (FAP)-targeted PET/CT imaging in primary and metastatic breast cancer and compare the results with those of standard-of-care imaging (SCI) and [F]FDG PET/CT.

Methods: We prospectively analyzed patients with diagnosed or suspected breast cancer who underwent concomitant FAP-targeted PET/CT (radiotracers including either [Ga]Ga-FAPI-46 or [F]FAPI-42) and [F]FDG PET/CT scans from June 2020 to January 2024 at two medical centers. Breast ultrasound (US) imaging was performed in all treatment-naïve patients as SCI.

An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study.

Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.

Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.

Comparisons among radiologist, MR findings and radiomics-clinical models in predicting placenta accreta spectrum disorders: a multicenter study.

Objective: To assess and compare the diagnostic accuracy of radiologist, MR findings, and radiomics-clinical models in the diagnosis of placental implantation disorders.

Methods: Retrospective collection of MR images from patients suspected of having placenta accreta spectrum (PAS) was conducted across three institutions: Institution I (n = 505), Institution II (n = 67), and Institution III (n = 58). Data from Institution I were utilized to form a training set, while data from Institutions II and III served as an external test set.

Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study.

Introduction And Hypothesis: This study aims to develop a postpartum stress urinary incontinence (PPSUI) risk prediction model based on an updated definition of PPSUI, using machine learning algorithms. The goal is to identify the best model for early clinical screening to improve screening accuracy and optimize clinical management strategies.

Methods: This prospective study collected data from 1208 postpartum women, with the dataset randomly divided into training and testing sets (8:2).

Multiplex Nontargeted Framework Enables Tracking Metabolic Profile of Oxymetholone and Methasterone In Vivo at Nanogram Level by GC-Orbitrap-HRMS for Antidoping Purpose.

Oxymetholone and methasterone are anabolic androgenic steroids prohibited by the World Anti-Doping Agency (WADA) for both in-competition and out-of-competition use. Detecting metabolites of exogenous steroids is crucial for establishing doping violations, making the study of these metabolites essential in antidoping efforts. This study investigated the urinary metabolic profiles of oxymetholone and methasterone using gas chromatography-orbitrap high-resolution mass spectrometry (GC-Orbitrap-HRMS) in nanogram level by utilizing a novel multiplex nontargeted framework protocol.

Direct Cross-Couplings of Aryl Nonaflates with Aryl Bromides under Nickel Catalysis.

The direct cross-couplings of aryl nonaflates with aryl bromides could be successfully accomplished by utilizing nickel as the catalyst, magnesium as the metal mediator, and lithium chloride as the additive. The reactions proceeded efficiently in THF at room temperature to produce the desired biaryls in moderate to good yields, showing both a reasonable substrate scope and functional group tolerance. Additionally, an equally good performance could be realized when the reaction was subjected to scale-up synthesis.

Serine Hydrolase-Catalyzed Polyol Lipids are Necessary for Rodlet Layer Formation on the Cell Wall of Entomopathogenic Fungi.

Some key secondary metabolism genes are important for driving the infection process of entomopathogenic fungi; however, their chemical substance basis has not been well investigated. Here, mixtures of polyol lipids are discovered, which are synthesized through iterative chain transfer-esterification-hydrolysis cycles catalyzed by serine hydrolase during the release of online highly reducing polyketide intermediates. Importantly, an gene knockout experiment revealed that the synthesis of polyol lipids is necessary for rodlet layer formation on the cell wall of .

Cost of lung cancer diagnosis: cost differences between national health system and private sector.

Lung cancer is still diagnosed at an advanced stage due to lack of early disease symptoms. We have techniques and equipment for rapid on site evaluation of pulmonary lesions. However, with new technology or a combination of technologies in the diagnostic suite the cost of biopsy is rising.

In-Cell Mass Spectrometry and Ultraviolet Photodissociation Navigates the Intracellular Protein Heterogeneity.

Directly probing the heterogeneous conformations of intracellular proteins within their native cellular environment remains a significant challenge in mass spectrometry (MS). Here, we establish an in-cell MS and ultraviolet photodissociation (UVPD) strategy that directly ejects proteins from living cells into a mass spectrometer, followed by 193 nm UVPD for structural analysis. Applying this approach to calmodulin (CaM), we reveal that it adopts more extended conformations within living cells compared with purified samples , highlighting the unique influence of intracellular environments on protein folding.

Rapid Electrochemical Uranium Extraction from Real Seawater via the Intermediate of Vacancy-Trapped Isolated Uranyl.

Electrochemical uranium extraction from seawater is a vital project for the sustainable development of the nuclear industry, which requires selective intrinsic binding sites for uranyl. In this work, oxygen vacancies (O vacancies) were developed as an atomically identified confinement for uranyl, and thus, rapid uranium extraction from seawater was achieved. In a short period of 700 s, InO nanosheets with rich O vacancies (V-rich InO nanosheets) exhibited a high extraction efficiency of 88.

Anti-GPC3 antibody and cell-penetrating peptide CPP44 dual-ligand modified liposomes for targeted delivery of arsenic trioxide in the treatment of hepatocellular carcinoma.

Arsenic trioxide (ATO), the active ingredient in Chinese arsenic, effectively inhibits hepatocellular carcinoma (HCC) cell growth, but its clinical application is limited by the lack of a targeted delivery system. Phosphatidylinositol proteoglycan 3 (GPC3) is specifically expressed in HCC, and CPP44 is a cell-penetrating peptide that targets HCC cells. Here, we developed a liposome incorporating ATO with dual surface modifications of anti-GPC3 antibody and CPP44.

Distinct seasonality of nutrients in twigs and leaves of temperate trees.

Seasonal variations of nutrients in different organs are an essential strategy for temperate trees to maintain growth and function. The seasonal variations and variability (i.e.

Plasmids encode and can mobilize onion pathogenicity in Pantoea agglomerans.

Pantoea agglomerans is one of four Pantoea species reported in the USA to cause bacterial rot of onion bulbs. However, not all P. agglomerans strains are pathogenic to onion.

Transcriptomic analysis reveals potential roles of polyamine and proline metabolism in waterlogged peach roots inoculated with Funneliformis mosseae and Serendipita indica.

Root-associated endophytic fungi can create symbiotic relationships with trees to enhance stress tolerance, but the underlying mechanisms, especially with regard to waterlogging tolerance, remain unclear. This study aimed to elucidate the effects of Funneliformis mosseae and Serendipita indica on the growth, root cross-section structure, and root transcriptional responses of peach under waterlogging stress, with a focus on polyamine and proline metabolism. Genes and transcription factors associated with secondary cell wall biosynthesis were selected, and their expression profiles were analyzed.

Polystyrene Nanoplastics Hitch-Hike the Gut-Brain Axis to Exacerbate Parkinson's Pathology.

The neurological implications of micro- and nanoplastic exposure have recently come under scrutiny due to the environmental prevalence of these synthetic materials. Parkinson's disease (PD) is a major neurological disorder clinically characterized by intracellular Lewy-body inclusions and dopaminergic neuronal death. These pathological hallmarks of PD, according to Braak's hypothesis, are mediated by the afferent propagation of α synuclein (αS) via the enteric nervous system, or the so-called gut-brain axis.

The role of green synthesis metal and metal oxide nanoparticles in oral cancer therapy: a review.

There are 275,000 new cases of oral cancer (OC) per year, making it the sixth most common cancer in the world. Severe adverse effects, including loss of function, deformity, and systemic toxicity, are familiar with traditional therapies such as radiation, chemotherapy, and surgery; due to their unique properties, nanoparticles (NPs) have emerged as a superior alternative over chemo/radiotherapy and surgery due to their targeting capability, bioavailability, compatibility, and high solubility. Due to their unique properties, metallic NPs have garnered significant attention in OC control.

Omnidirectionally Stretchable Spin-Valve Sensor Array with Stable Giant Magnetoresistance Performance.

Flexible magnetic sensors, which have advantages such as deformability, vector field sensing, and noncontact detection, are an important branch of flexible electronics and have significant applications in fields such as magnetosensitive electronic skin. Human skin surfaces have complicated deformations, which pose a demand for magnetic sensors that can withstand omnidirectional strain while maintaining stable performance. However, existing flexible magnetic sensor arrays can only withstand stretching along specific directions and are prone to failure under complicated deformations.