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Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defects. Therefore, abnormal phenotype fruits should be removed during postharvest sorting to increase added value. An improved maximum horizontal diameter linear regression (MHD‐LR) method for size grading of jujube prior to detection of abnormal phenotypic defects was developed. The accuracy of the MHD‐LR model is 95%, with an error of only 0.95 mm. In addition, a method for detecting abnormal phenotypic defects in jujube was established. It can effectively and accurately classify seven kinds of jujube phenotypes (regular, irregular, wrinkled, moldy, hole‐broken, skin‐broken, and scarred). The data augmentation method based on linear interpolation can effectively expand the dataset with a variance of only 0.0006. Support vector machine‐decision tree (SVMDT), logistic regression, back propagation neural network, and long short‐term memory network models were established to classify jujube samples with different phenotypes, with accuracies of 99.57%, 99.00%, 99.14%, and 99.29%, respectively. The results showed that the SVMDT model had higher accuracy and explainability. This research is expected to provide a new method to improve the precise classification of abnormal phenotypic defects in postharvest jujube. [ABSTRACT FROM AUTHOR]

The diagnostic value of contrast-enhanced ultrasound combined with ultrasound elastography for benign and malignant thyroid nodules is still controversial, so we used meta-analysis to seek controversial answers. The PubMed, OVID, and CNKI databases were searched according to the inclusion and exclusion criteria. The literature was selected from the establishment of each database to February 2024. The QUADAS-2 tool assessed diagnostic test accuracy. SROC curves and Spearman's correlation coefficient were made by Review Manager 5.4 software to assess the presence of threshold effects in the literature. Meta-Disc1.4 software was used for Cochrane-Q and χ2 tests, which be used to evaluate heterogeneity, with P-values and I2 indicating heterogeneity levels. The appropriate effect model was selected based on the results of the heterogeneity test. Stata18.0 software was used to evaluate publication bias. The diagnostic accuracy of contrast-enhanced ultrasound combined with ultrasound elastography for benign and malignant thyroid nodules was evaluated by calculating the combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, DOR, and area under the SROC curve. A total of 31 studies included 3811 patients with 4718 nodules were analyzed. There is no heterogeneity caused by the threshold effect, but there is significant non-threshold heterogeneity. Combined diagnostic metrics were: sensitivity = 0.93, specificity = 0.91, DOR = 168.41, positive likelihood ratio = 10.60, and negative likelihood ratio = 0.07. The SROC curve area was 0.97. Contrast-enhanced ultrasound and elastography show high diagnostic accuracy for thyroid nodules, offering a solid foundation for early diagnosis and treatment. Trial registration. CRD42024509462. [ABSTRACT FROM AUTHOR]

The high activity of nano‐sized metal particles (NMPs) makes it easy to appear uncontrolled aggregation, which seriously affects Li/Na storage in electrode materials. Introducing adaptive substrates with proper affinity to NMPs is an effective strategy that optimizes the stability and capacity of the related electrodes. Herein, a comprehensive strategy for the fabrication of adaptive interfacial contacts between metallic Cu nanoparticles (NPs) and triphenyl‐substituted triazine graphdiyne (TPTG) substrates is reported. The sp C in the acetylenic linkers and N heteroatoms in the triazine groups synergistically stabilized the Cu NPs loaded onto the TPTG substrates. The stabilizing effect of the TPTG substrate induces a reversible lattice change of the Cu NPs during the charge–discharge process, thus efficiently facilitating the stable transfer of Li+/Na+. Intrinsic mechanism analysis indicates that the heterojunction contact interface of Cu NPs/TPTG provides branched charge transfer pathways from Li/Na to the Cu NPs and TPTG substrates, which synergistically adjusts the affinity to Li/Na atoms and ultimately improves the electrochemical performance in Li/Na storage. The investigation of the structure–property relationship deepens the understanding of the function of heterointerfaces, which is essential for optimizing the performance of energy storage devices. [ABSTRACT FROM AUTHOR]