Comparative chloroplast genomics of Caryophyllaceae species: insights into sequence variations and phylogenetic evolution.

Background: Caryophyllaceae contains 100 genera and 3000 species, many of which are valuable both ecologically and economically. However, as past research has shown, the fundamental phylogenetic relationships of Caryophyllaceae are still debatable, and molecular dating based on chloroplast genomes has not been thoroughly examined for the entire family.

Methods: In this study, the complete chloroplast genome sequences of Arenaria kansuensis Maxim.

Synthetic Breast Ultrasound Images: A Study to Overcome Medical Data Sharing Barriers.

The vast potential of medical big data to enhance healthcare outcomes remains underutilized due to privacy concerns, which restrict cross-center data sharing and the construction of diverse, large-scale datasets. To address this challenge, we developed a deep generative model aimed at synthesizing medical data to overcome data sharing barriers, with a focus on breast ultrasound (US) image synthesis. Specifically, we introduce CoLDiT, a conditional latent diffusion model with a transformer backbone, to generate US images of breast lesions across various Breast Imaging Reporting and Data System (BI-RADS) categories.

Deciphering differences in microbial community characteristics and main factors between healthy and root rot-infected rhizosphere soils.

Introduction: Fusarium-induced root rot of () is a typical soil-borne disease that has severely damaged the industry in China. Understanding the interaction among soil microbial communities, soil characteristics, and pathogenic bacteria is very important for the ecological prevention and control of root rot.

Methods: We used Miseq Illumina high-throughput sequencing technology to study the microbial community in the rhizosphere soil of healthy and diseased C.

Impact of primary care and public health integration of chronic conditions in China: a protocol for a prospective multicentre cohort study.

Introduction: The prevalence of chronic conditions is increasing. Given that the majority of chronic patients are managed by primary healthcare providers, there is a need to integrate primary care with public health to address the prevailing situation and enhance patient outcomes. The purpose of this study is to establish, implement and evaluate an integrated primary care and public health model in China for patients with chronic conditions.

Harnessing Large Language Models for Structured Reporting in Breast Ultrasound: A Comparative Study of Open AI (GPT-4.0) and Microsoft Bing (GPT-4).

Objectives: To assess the capabilities of large language models (LLMs), including Open AI (GPT-4.0) and Microsoft Bing (GPT-4), in generating structured reports, the Breast Imaging Reporting and Data System (BI-RADS) categories, and management recommendations from free-text breast ultrasound reports.

Materials And Methods: In this retrospective study, 100 free-text breast ultrasound reports from patients who underwent surgery between January and May 2023 were gathered.

Clinical application potential of large language model: a study based on thyroid nodules.

Background: Limited data indicated the performance of large language model (LLM) taking on the role of doctors. We aimed to investigate the potential for ChatGPT-3.5 and New Bing Chat acting as doctors using thyroid nodules as an example.

Super-resolution ultrasound and microvasculomics: a consensus statement.

This is a summary of a consensus statement on the introduction of "Ultrasound microvasculomics" produced by The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. The evaluation of microvessels is a very important part for the assessment of diseases. Super-resolution ultrasound (SRUS) microvascular imaging surpasses traditional ultrasound imaging in the morphological and functional analysis of microcirculation.

Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography.

Purpose: The importance of structured radiology reports has been fully recognized, as they facilitate efficient data extraction and promote collaboration among healthcare professionals. Our purpose is to assess the accuracy and reproducibility of ChatGPT, a large language model, in generating structured thyroid ultrasound reports.

Methods: This is a retrospective study that includes 184 nodules in 136 thyroid ultrasound reports from 136 patients.

Performance of large language models on benign prostatic hyperplasia frequently asked questions.

Background: Benign prostatic hyperplasia (BPH) is a common condition, yet it is challenging for the average BPH patient to find credible and accurate information about BPH. Our goal is to evaluate and compare the accuracy and reproducibility of large language models (LLMs), including ChatGPT-3.5, ChatGPT-4, and the New Bing Chat in responding to a BPH frequently asked questions (FAQs) questionnaire.

Surgical stress induced tumor immune suppressive environment.

Despite significant advances in cancer treatment over the decades, surgical resection remains a prominent management approach for solid neoplasms. Unfortunately, accumulating evidence suggests that surgical stress caused by tumor resection may potentially trigger postoperative metastatic niche formation. Surgical stress not only activates the sympathetic-adrenomedullary axis and hypothalamic-pituitary-adrenocortical axis but also induces hypoxia and hypercoagulable state.

Safety and efficacy of stoma site selection in CT-guided percutaneous gastrostomy: a retrospective analysis.

Purpose: To compare the safety and efficacy of CPG in the rectus abdominis and intercostal regions.

Materials And Methods: This retrospective study included 226 patients who underwent CPG at a single center, with the stoma placed in the rectus abdominis or intercostal region. Surgical outcomes and complications, such as pain and infection within 6 months postoperatively, were recorded.

Nutritional status and nutritional intervention of older inpatients in China.

Background: Malnutrition is a critical issue among older inpatients, yet limited large-scale research related to this issue has been conducted in China. This study aimed to examine the nutritional status and support of older inpatients in China, assess the associations between disease categories and malnutrition on admission, and explore effective nutritional intervention.

Methods: A total of 24,139 older participants from the China Nutrition Fundamental Data 2020 Project were included.

Comparison of the efficacy and safety of ultrasound-guided radiofrequency ablation and microwave ablation for the treatment of unifocal papillary thyroid microcarcinoma: a retrospective study.

Purpose: This study aimed to compare the efficacy and safety of ultrasound-guided RFA and MWA in the treatment of unifocal PTMC.

Methods: This retrospective study included 512 patients with 512 unifocal papillary thyroid microcarcinomas (PTMCs) who underwent RFA ( = 346) and MWA ( = 166) between January 2021 and December 2021. The volumes of the ablation areas were measured during follow-up, and the volume reduction rates were evaluated.

Single-cell RNA sequencing reveals association of aberrant placental trophoblasts and FN1 reduction in late-onset fetal growth restriction.

Introduction: Fetal growth restriction (FGR) can lead to fetal mental development abnormalities, malformations, and even intrauterine death. Defects in the trophoblasts at the maternal-fetal interface may contribute to FGR. However, the impact of trophoblasts on FGR is still not well understood.

Predicting subsolid pulmonary nodules before percutaneous needle biopsy: a comparison of artificial neural network and biopsy results.

Aim: To establish an artificial neural network (ANN) model to predict subsolid nodules (SSNs) before percutaneous core-needle biopsy (PCNB). The results of the two methods were compared to provide guidance on the treatment of SSNs.

Materials And Methods: This was a single-centre retrospective study using data from 1,459 SSNs between 2013 and 2021.

Facile electrochemiluminescence sensing platform based on GdO:Eu nanocrystals for organophosphorus pesticides detection in vegetable samples.

In this work, europium ion-doped gadolinium trioxide nanocrystals (GdO:Eu NCs) were successfully synthesized and applied to construct an electrochemiluminescence (ECL) sensor. Compared with pure GdO, the doping of Eu ions caused enhanced ECL intensity and more stable signals. Based on the excellent ECL performance of GdO:Eu NCs, we constructed a new ECL sensing platform for the detection of organophosphorus pesticides (OPs).

Red cell distribution width-a potential prognostic indicator for colorectal cancer patients after radical resection in China.

Background: Red cell distribution width (RDW) can signal poor prognosis in inflammatory medical conditions. The purpose of the study was to investigate the relationship between preoperative RDW and colorectal cancer (CRC) in a large cohort of patients.

Methods: A total of 6,224 CRC patients who underwent radical resection at the Fudan University Shanghai Cancer Center were evaluated retrospectively.

Volume reduction rate of radiofrequency ablation in ≤ 2 cm Bethesda IV thyroid nodules.

Objective: This prospective observational study aimed to evaluate the efficacy of radiofrequency ablation (RFA) in treating ≤ 2 cm thyroid nodules with Bethesda IV cytology and C-TIRADS 4A categorization. Additionally, the factors influencing the completed absorption of ablation (CAA) were examined.

Methods: A total of 62 cases with 62 nodules underwent ultrasound-guided RFA and were included in the study.

Iodine-125 brachytherapy for a desmoid tumor in the abdomen-thorax: A retrospective study.

Purpose: To investigate the safety and efficacy of iodine-125 seed implantation in the treatment of abdomen-thorax desmoid tumors (DTs).

Methods And Materials: Data from 14 DT patients who received brachytherapy with iodine-125 seeds were retrospectively collected from 2014 to 2020. The operation was completed using CT guidance and the treatment plan system (TPS).

Effects of intra-annual precipitation patterns on grassland productivity moderated by the dominant species phenology.

Phenology and productivity are important functional indicators of grassland ecosystems. However, our understanding of how intra-annual precipitation patterns affect plant phenology and productivity in grasslands is still limited. Here, we conducted a two-year precipitation manipulation experiment to explore the responses of plant phenology and productivity to intra-annual precipitation patterns at the community and dominant species levels in a temperate grassland.

Electrochemiluminescence Aptasensor Based on Gd(OH) Nanocrystalline for Ochratoxin A Detection in Food Samples.

In the present study, the electrochemiluminescence (ECL) properties of Gd(OH) nanocrystals with KSO as the cathode coreactant were studied for the first time. Based on the prominent ECL behavior of this material and the excellent specificity of the aptamer technique, an ECL aptasensor for the detection of ochratoxin A (OTA) was formulated successfully. Over an OTA concentration range of 0.

Species richness and asynchrony maintain the stability of primary productivity against seasonal climatic variability.

The stability of grassland communities informs us about the ability of grasslands to provide reliable services despite environmental fluctuations. There is large evidence that higher plant diversity and asynchrony among species stabilizes grassland primary productivity against interannual climate variability. Whether biodiversity and asynchrony among species and functional groups stabilize grassland productivity against seasonal climate variability remains unknown.