Optical Upconversion in Mononuclear Lanthanide Co-Crystal Assemblies.

In this work, we developed two kinds of co-crystal assemblies systems, consisting of discrete mononuclear Yb3+ and Er3+ and mononuclear Yb3+ and Pr3+, which can achieve Er3+ and Pr3+ upconversion luminescence, respectively, by Yb3+ sensitization under 980 nm excitation. The structure and composition of two co-crystal assemblies were determined by single crystal X-ray diffraction. By investigation of the series of two assemblies, respectively, it is found that the strongest upconversion luminescence is both obtained when the molar ratio of Yb3+ and Ln3+ (Ln=Er or Pr) is 1 : 1. The energy transfer mechanism of Er3+ assemblies is determined as energy transfer upconversion, while that of Pr3+ assemblies is determined as energy transfer upconversion and cooperative sensitization upconversion. This is the first example of Pr3+ upconversion luminescence at the molecular dimension at room temperature, which enriches the research in the field of upconversion luminescence with lanthanide complexes.

Assessing Swallowing Dysfunction Aggravation in Chronic Obstructive Pulmonary Disease Patients Using Ultrasonic Measurements With Swallowing Movement Parameters.

OBJECTIVE: To investigate the correlation between ultrasonic measurements of swallowing movement parameters and aggravation of swallowing dysfunction in patients with chronic obstructive pulmonary disease (COPD). METHODS: COPD patients with swallowing dysfunction (n = 120) and COPD patients with normal swallowing function (n = 100) treated in our hospital between January 2020 and January 2023 were included in observation and control groups, respectively. The correlation between ultrasonic measurements of swallowing movement parameters and COPD with swallowing dysfunction was analyzed. The observation group was divided into mild and severe groups according to their Gugging Swallowing Screen (GUSS) scores. The correlation between ultrasonic measurements of swallowing movement parameters and COPD exacerbation combined with swallowing dysfunction was analyzed. RESULTS: In the observation group, Hyoid muscle thickness, hyoid bone displacement, geniohyoid muscle movement distance, HLAS, and CSR were lower compared to the control group, negatively associated with COPD-related swallowing issues. Conversely, geniohyoid muscle movement time and minimum hyohyoid distance (NHLA) were higher in the observation group, positively correlated with COPD-related swallowing dysfunction. In COPD patients with swallowing problems, the severe group exhibited lower values for lingual muscle thickness, hyoid bone displacement, geniohyoid muscle movement distance, HLAS, and CSR compared to the mild group, while geniohyoid muscle movement time and NHLA were higher in the severe group. Receiver operating characteristic (ROC) curves were created, indicating the promising diagnostic utility of these parameters for assessing the presence and severity of swallowing dysfunction in COPD patients. CONCLUSION: The ultrasonic measurement of swallowing motion parameters can effectively assess swallowing dysfunction in COPD patients.

Sensitive detection of choline and nicotine in real samples by switching upconversion luminescence.

Nicotine (3-(1-methyl-2-pyrrolidinyl)pyridine) is one of the most common addictive substances, causing the trace detection of nicotine to be very necessary. Herein, we designed and prepared a functionalized nanocomposite CS-PAA (NaYF4:19.5%Yb,0.5%Tm@NaYF4-PAA) using a simple method. The nicotine concentration was quantitatively detected through the inhibition of choline oxidase activity by nicotine and the luminescence intensity of CS-PAA being quenched by Fe3+. The mechanism of Fe3+ quenching CS-PAA emission was inferred by luminescence lifetime and UV-vis absorption spectra characterization. During the nicotine detection, both excitation (980 nm) and emission (802 nm) wavelengths of CS-PAA enable the avoidance of the interference of background fluorescence in complicated food objects, thus providing high selectivity and sensitivity with a linear range of 5-750 ng/mL and a limit of detection of 9.3 nM. The method exhibits an excellent recovery and relative standard deviation, indicating high accuracy and repeatability of the detection of nicotine.

Shear wave elastography combined with two-dimensional ultrasonography for detecting optic nerve sheath: An effective tool for assessing preeclampsia.

PURPOSE/OBJECTIVE: This study aimed to investigate two-dimensional ultrasound and shear-wave elastography (SWE) in evaluating optic neuropathy in preeclampsia. METHODS: Ninety-one singleton pregnant women (51 with preeclampsia [observation group]; 40 without complications [control group]) admitted between January 2022 and April 2022 participated in this study. Optic nerve sheath diameter (ONSD) and optic nerve stiffness measurement (ONSM) were measured using two-dimensional ultrasound and SWE, respectively, and compared between the two groups. Receiver operating characteristic curves were employed to evaluate the performance of ONSD, ONSM, and combination (ONSD + ONSM) for diagnosing preeclampsia. RESULTS: The observation (preeclampsia) group ONSD and ONSM were significantly higher than those in the control group (p < 0.05). Optimal diagnostic values for ONSD and ONSM were 4.10 mm and 11.20 kPa, respectively. Areas under the curve for diagnosing preeclampsia were 0.958 (95% confidence interval [CI], 0.926-0.990) for ONSD, 0.939 (95% CI, 0.894-0.985) for ONSM, and 0.982 (95% CI, 0.962-1.000) for ONSD + ONSM. There was no significant difference between ONSD and ONSM in diagnosing preeclampsia (p = 0.436). However, ONSD + ONSM was significantly advantageous over ONSD or ONSM alone in diagnosing preeclampsia (p = 0.033; p = 0.014). CONCLUSIONS: Ultrasonic evaluation of the optic nerve can quantitatively assess optic nerve changes in pregnant women with preeclampsia.

Contrast enhanced ultrasound in diagnosis of endometrial carcinoma and endometrial hyperplasia.

The present study was aimed to compare application of contrast enhanced ultrasound (CEUS) in diagnosis of endometrial carcinoma (EC) and endometrial hyperplasia (EH). A total of 81 patients with EC and simple EH were selected in this study. Among all patients, 39 cases were diagnosed as EC and 42 cases were diagnosed with EH. All patients were diagnosed by CEUS examination. The diagnosis of EC and EH was also confirmed by endometrial biopsy. CEUS was conducted for all patients. Eendometrial thickness was measured and the mean arrival time, time-to-peak, enhancement time, arrival intensity, peak intensity, enhancement intensity, rising rate, washout half-time and clearance half-time were recorded. Myometrial invasion was categorized into 2 stages <50% and >50%. No significant difference was observed in clinical basis between the two groups. Endometrial thickness of EC was significantly higher than that of EH, P<0.05. Results of CEUS parameters showed that in EC patients, all values of arrival time, time-to-peak, washout half-time and clearance half-time were all shorter in EC group compared with those in EH patients, P<0.05. And values of peak intensity, enhancement intensity, and rising rate were also lower in EC patients than those in EH patients, P<0.05. Diagnostic accuracy of CEUS in myometrial invasion for EC was shown showed that 26 of 30 cases were diagnosed as myometrial invasion <50% by CEUS and 7 of 9 cases were diagnosed as myometrial invasion >50%. The total diagnostic accuracy of CEUS is 82.62% (33/39). We conducted a comparison study to analyze different diagnostic effects of CEUS for EC and EH. The study may give more clinical basic data in the field of CEUS application in diagnosis of EC and can give a reference to the difference between EC and EH.

A Method for Expanding the Training Set of White Blood Cell Images.

In medicine, the count of different types of white blood cells can be used as the basis for diagnosing certain diseases or evaluating the treatment effects of diseases. The recognition and counting of white blood cells have important clinical significance. But the effect of recognition based on machine learning is affected by the size of the training set. At present, researchers mainly rely on image rotation and cropping to expand the dataset. These methods either add features to the white blood cell image or require manual intervention and are inefficient. In this paper, a method for expanding the training set of white blood cell images is proposed. After rotating the image at any angle, Canny is used to extract the edge of the black area caused by the rotation and then fill the black area to achieve the purpose of expanding the training set. The experimental results show that after using the method proposed in this paper to expand the training set to train the three models of ResNet, MobileNet, and ShuffleNet, and comparing the original dataset and the method trained by the simple rotated image expanded dataset, the recognition accuracy of the three models is obviously improved without manual intervention.

Recognition of Thyroid Ultrasound Standard Plane Images Based on Residual Network.

Ultrasound is one of the critical methods for diagnosis and treatment in thyroid examination. In clinical application, many reasons, such as large outpatient traffic, time-consuming training of sonographers, and uneven professional level of physicians, often cause irregularities during the ultrasonic examination, leading to misdiagnosis or missed diagnosis. In order to standardize the thyroid ultrasound examination process, this paper proposes using a deep learning method based on residual network to recognize the Thyroid Ultrasound Standard Plane (TUSP). At first, referring to multiple relevant guidelines, eight TUSP were determined with the advice of clinical ultrasound experts. A total of 5,500 TUSP images of 8 categories were collected with the approval and review of the Ethics Committee and the patient's informed consent. Then, after desensitizing and filling the images, the 18-layer residual network model (ResNet-18) was trained for TUSP image recognition, and five-fold cross-validation was performed. Finally, through indicators like accuracy rate, we compared the recognition effect of other mainstream deep convolutional neural network models. Experimental results showed that ResNet-18 has the best recognition effect on TUSP images with an average accuracy rate of 91.07%. The average macro precision, average macro recall, and average macro F1-score are 91.39%, 91.34%, and 91.30%, respectively. It proves that the deep learning method based on residual network can effectively recognize TUSP images, which is expected to standardize clinical thyroid ultrasound examination and reduce misdiagnosis and missed diagnosis.

Diagnostic Performance of Ultrasound Computer-Aided Diagnosis Software Compared with That of Radiologists with Different Levels of Expertise for Thyroid Malignancy: A Multicenter Prospective Study.

The aim of the work described here was to evaluate the diagnostic performance of ultrasound thyroid computer-aided diagnosis (CAD) software. This multicenter prospective study included 494 patients (565 thyroid nodules) who underwent surgery or biopsy after ultrasonography at four hospitals from January 2019 to September 2019. The diagnostic performance metrics of different readers were calculated and compared with the pathologic results. The sensitivity of CAD was outstanding and was equivalent to that of a senior radiologist (90.51% vs. 88.47%, p > 0.05). The area under the curve of CAD was equivalent to that of a junior radiologist (0.748 vs. 0.739, p > 0.05). However, the specificity was only 49.63%, which was lower than those of the three radiologists (75.56%, 85.93% and 90.37% for the junior, intermediate and senior radiologists, respectively). The diagnostic performance of the junior radiologist was significantly improved with the aid of CAD (junior + CAD). The sensitivity and area under the curve of junior + CAD were improved from 72.20% to 89.93% and from 0.739 to 0.816, respectively (both p values <0.05), and the positive predictive value, negative predictive value and κ coefficient improved from 76.3% to 78.6%, 82.0% to 86.8% and 0.394 to 0.511, respectively. Though specificity slightly decreased from 75.56% to 73.33%, the difference was not statistically significant (p > 0.05). In general, the clinical application value of CAD is promising, and its instrumental value for junior radiologists is significant.

Biodiversity Survey of Flower-Visiting Spiders Based on Literature Review and Field Study.

Many arthropods exhibit flower-visiting behavior, including a variety of spider species. However, as spiders are assumed to be strictly predatory, flower-visiting spiders are an often neglected group. We conducted a systematic biodiversity study of flower-visiting spiders based on published papers and field surveys. Most previous studies have focused on the herbivorous behavior of flower-visiting spiders (nectivory or pollinivory) and their effects on host flowers (tritrophic interactions with flower-visiting insects). In our field survey, we utilized standard transect walks (active sampling) and colored pan traps (passive sampling) to investigate species occurrence, diurnal and seasonal variation, and flower color preference of flower-visiting spiders. From the transect walks, crab spider species were found to be the dominant flower-visiting spiders and, based on all spider species, juvenile visitors were significantly more common than adults. Furthermore, in terms of spider number and species richness, tulips were the preferred flower to visit. For the pan traps, wolf spiders were found to be the dominant spider species. No significant differences were observed in the number of spiders caught in different colored pans, suggesting that color may not be an important flower trait in regard to spider preference. To the best of our knowledge, this study is the first to propose the term 'flower-visiting spiders' and conduct a systematic investigation of their diversity. However, this is preliminary research and further studies are required, especially as biodiversity is often closely linked to survey sites and ecotopes.

1. Generally speaking, flower-visiting spiders focuses on the herbivorous behavior (nectivory or pollinivory) and their effects on host flowers (tritrophic interactions with flower-visiting insect). 2. The authenticity of flower-visiting spiders collected by active sampling was higher than passive trapping; juvenile spider visitors were significantly more common than adults. 3. Our study is the first to propose the term 'flower-visiting spiders', and further research is needed.

Transcriptome responses to elevated CO2 level and Wolbachia-infection stress in Hylyphantes graminicola (Araneae: Linyphiidae).

Hylyphantes graminicola is a resident spider species found in maize and cotton fields and is an important biological control agent of various pests. Previous studies have demonstrated that stress from elevated CO2 and Wolbachia infection can strongly affect spider species. Thus, based on CO2 levels (400 ppm, current atmospheric CO2 concentration and 800 ppm, high CO2 concentration) and Wolbachia status (Wolbachia-infected, W+ and Wolbachia-uninfected, W- ), we divided H. graminicola individuals into four treatment groups: W- 400 ppm, W- 800 ppm, W+ 400 ppm, and W+ 800 ppm. To investigate the effects of elevated CO2 levels (W- 400 vs W- 800), Wolbachia infection (W- 400 vs W+ 400), and the interactions between these two factors (W- 400 vs W+ 800), high-throughput transcriptome sequencing was employed to characterize the de novo transcriptome of the spiders and identify stress-related differentially expressed genes (DEGs). De novo assembly of complementary DNA sequences generated 86 688 unigenes, 23 938 of which were annotated in public databases. A total of 84, 21, and 157 DEGs were found among W- 400 vs W- 800, W- 400 vs W+ 400, and W- 400 vs W+ 800, respectively. Functional enrichment analysis revealed that metabolic processes, signaling, and catalytic activity were significantly affected by elevated CO2 levels and Wolbachia infection. Our findings suggest that the impact of elevated CO2 levels and Wolbachia infection on the H. graminicola transcriptome was, to a large extent, on genes involved in metabolic processes. This study is the first description of transcriptome changes in response to elevated CO2 levels and Wolbachia infection in spiders.

A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images.

The classification of benign and malignant based on ultrasound images is of great value because breast cancer is an enormous threat to women's health worldwide. Although both texture and morphological features are crucial representations of ultrasound breast tumor images, their straightforward combination brings little effect for improving the classification of benign and malignant since high-dimensional texture features are too aggressive so that drown out the effect of low-dimensional morphological features. For that, an efficient texture and morphological feature combing method is proposed to improve the classification of benign and malignant. Firstly, both texture (i.e., local binary patterns (LBP), histogram of oriented gradients (HOG), and gray-level co-occurrence matrixes (GLCM)) and morphological (i.e., shape complexities) features of breast ultrasound images are extracted. Secondly, a support vector machine (SVM) classifier working on texture features is trained, and a naive Bayes (NB) classifier acting on morphological features is designed, in order to exert the discriminative power of texture features and morphological features, respectively. Thirdly, the classification scores of the two classifiers (i.e., SVM and NB) are weighted fused to obtain the final classification result. The low-dimensional nonparameterized NB classifier is effectively control the parameter complexity of the entire classification system combine with the high-dimensional parametric SVM classifier. Consequently, texture and morphological features are efficiently combined. Comprehensive experimental analyses are presented, and the proposed method obtains a 91.11% accuracy, a 94.34% sensitivity, and an 86.49% specificity, which outperforms many related benign and malignant breast tumor classification methods.

Methylome and transcriptome analyses reveal insights into the epigenetic basis for the good survival of hypomethylated ER-positive breast cancer subtype.

BACKGROUND: Breast cancer (BRCA) is a heterogeneous disease, characterized by different histopathological and clinical features and responses to various therapeutic measures. Despite the research progress of DNA methylation in classification and diagnosis of BRCA and the close relationship between DNA methylation and hormone receptor status, especially estrogen receptor (ER), the epigenetic mechanisms in various BRCA subtypes and the biomarkers associated with diagnostic characteristics of patients under specific hormone receptor status remain elusive. RESULTS: In this study, we collected and analyzed methylation data from 785 invasive BRCA and 98 normal breast tissue samples from The Cancer Genome Atlas (TCGA) database. Consensus classification analysis revealed that ER-positive BRCA samples were constitutive of two distinct methylation subgroups; with the hypomethylated subgroup showing good survival probability. This finding was further supported by another cohort of ER-positive BRCA containing 30 subjects. Additionally, we identified 977 hypomethylated CpG loci showing significant associations with good survival probability in ER-positive BRCA. Genes with these loci were enriched in cancer-related pathways (e.g., Wnt signaling pathway). Among them, the upregulated 47 genes were also in line with good survival probability of ER-positive BRCA, while they showed significantly negative correlations between their expression and methylation level of certain hypomethylated loci. Functional assay in numerous literatures provided further evidences supporting that some of the loci have close links with the modulation of tumor-suppressive mechanisms via regulation gene transcription (e.g., SFRP1 and WIF1). CONCLUSIONS: Our study identified a hypomethylated ER-positive BRCA subtype. Notably, this subgroup presented the best survival probability compared with the hypermethylated ER-positive and hypomethylated ER-negative BRCA subtypes. Specifically, we found that certain upregulated genes (e.g., SFRP1 and WIF1) have great potential to suppress the progression of ER-positive BRCA, concurrently exist negative correlations between their expression and methylation of corresponding hypomethylated CpG loci. Therefore, our study indicates that different epigenetic mechanisms likely exist in ER-positive BRCA and provides novel clinical biomarkers specific to ER-positive BRCA diagnosis and therapy.

Combined effects of elevated CO2 concentration and Wolbachia on Hylyphantes graminicola (Araneae: Linyphiidae).

The increasing concentration of carbon dioxide in atmosphere is not only a major cause of global warming, but it also adversely affects the ecological diversity of invertebrates. This study was conducted to evaluate the effect of elevated CO2 concentration (ambient, 400 ppm and high, 800 ppm) and Wolbachia (Wolbachia-infected, W+ and Wolbachia-uninfected, W-) on Hylyphantes graminicola. The total survival rate, developmental duration, carapace width and length, body weight, sex ratio, net reproductive rate, nutrition content, and enzyme activity in H. graminicola were examined under four treatments: W- 400 ppm, W- 800 ppm, W+ 400 ppm, and W+ 800 ppm. Results showed that Wolbachia-infected spiders had significantly decreased the total developmental duration. Different instars showed variations up to some extent, but no obvious effect was found under elevated CO2 concentration. Total survival rate, sex ratio, and net reproductive rate were not affected by elevated CO2 concentration or Wolbachia infection. The carapace width of Wolbachia-uninfected spiders decreased significantly under elevated CO2 concentration, while the width, length and weight were not significantly affected in Wolbachia-infected spiders reared at ambient CO2 concentration. The levels of protein, specific activities of peroxidase, and amylase were significantly increased under elevated CO2 concentration or Wolbachia-infected spiders, while the total amino content was only increased in Wolbachia-infected spiders. Thus, our current finding suggested that elevated CO2 concentration and Wolbachia enhance nutrient contents and enzyme activity of H. graminicola and decrease development duration hence explore the interactive effects of factors which were responsible for reproduction regulation, but it also gives a theoretical direction for spider's protection in such a dynamic environment. Increased activities of enzymes and nutrients caused by Wolbachia infection aids for better survival of H. graminicola under stress.

Relationship between survivin expression and recurrence, and prognosis in hepatocellular carcinoma.

AIM: To study the expression of the inhibitor of apoptosis protein survivin in hepatocellular carcinoma (HCC), and its correlation with clinicopathological factors, cell proliferation, recurrence and prognosis after hepatectomy. METHODS: Immunohistochemical staining of survivin and Ki-67 was performed by the standard streptavidin-peroxidase technique on paraffin sections of 55 cases of HCC. RESULTS: The positive rate of survivin in HCC was 52.7% (29/55). Significant correlation was found between survivin expression with portal vein thrombi and intrahepatic matastasistic nodes (P < 0.05). The recurrent rate in survivin-positive HCC was significantly higher than that in survivin-negative HCC after hepatectomy, the 1- and 3-year survival rate in patients with survivin-positive tumors was significantly lower than that in patients with survivin-negative tumors (58.62 and 10.34% vs 76.92 and 30.77%, P < 0.05, log-rank test). The proliferation index (Ki-67) in survivin-positive HCC (33.83% +/- 18.90%) was significantly higher than that in survivin-negative HCC (19.60% +/- 19.35%) (P < 0.05). CONCLUSION: Survivin may play an important role in progression of HCC by promoting cell proliferation, and may be positively correlated with high risk of disease recurrence and poor prognosis in HCC. Its expression may serve as a prognostic factor for patients with HCC after hepatectomy.