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Citrullus lanatus is an important vegetable crop, but it is heavily polluted by cadmium. In this study, we used C. Lanatus as experimental material to investigate effects of different concentrations (0, 50, 100, 200, 400 µmolL) of exogenous melatonin, and grafting on the physiological growth index and anatomical structure of seedlings were studied by simulating Cd (180 mg L) stress environment.

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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology

January 2025

Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.

Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.

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The widespread use of antibiotics has led to the emergence of multidrug-resistant bacteria, which pose significant threats to animal health and food safety. Host defense peptides (HDPs) have emerged as promising alternatives because of their unique antimicrobial properties and minimal resistance induction. However, the high costs associated with HDP production and incorporation into animal management practices hinder their widespread application.

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Communication research on scientific issues has traditionally relied on the deficit model, which posits that increasing scientific knowledge leads to public acceptance. However, this model's effectiveness is questioned due to inconclusive impacts of knowledge on acceptance. To address this, we propose a dual-process framework combining the deficit model (with scientific knowledge as a key predictor) and a normative opinion process model (where perceived majority opinion plays a crucial role) to predict people's risk/benefit perceptions and their support for genetic modification (GM).

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Background: Methyltransferase-like (METTL) family protein plays a crucial role in the progression of malignancies. However, the function of METTL17 across pan-cancers, especially in hepatocellular carcinoma (HCC) is still poorly understood.

Methods: All original data were downloaded from TCGA, GTEx, HPA, UCSC databases and various data portals.

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