Differentiating the relationships between traditional and new media use and sleep quality during the COVID-19 pandemic: roles of psychological distress and age.

Background: Numerous studies have consistently demonstrated a decline in sleep quality during the COVID-19 pandemic. The primary objective of this study is to explore the impact of engaging with pertinent epidemic information through the media amid the COVID-19 crisis on individuals' sleep quality and the underlying mechanisms through which this influence operates. Methods: An online cross-sectional study design was employed. A total of 1,063 British adults (36.2% males; M age = 38.85, SD age = 13.36, ranging from 18 to 77 years old) participated in the study and completed our questionnaires, which included media usage frequency during the pandemic, the 10-item Kessler Psychological Distress Scale (K10), the Insomnia Severity Index (ISI), and the Ten-item Personality Inventory (TIPI). Results: Pearson's correlation analyses indicated that there was no significant correlation between COVID-19-related traditional media use (television, radio, newspaper) and psychological distress or sleep quality. However, exposure to information related to COVID-19 through new media use (Facebook, Tik Tok, Twitter) was correlated with greater psychological distress and poorer sleep quality. A moderated mediation analysis showed that psychological distress fully mediated the relationship between new media use and poor sleep, which was moderated by age, with the association between psychological distress and poor sleep quality being stronger among older adults. Conclusion: Exposure to information of COVID-19 via new (but not traditional) media use deteriorated sleep quality through greater psychological distress, and this relationship was stronger among older adults.

Effect of coordinated anions on ferromagnetically coupled Dy2 zero-field single-molecule magnets.

A new hydrazone Schiff base ligand was condensed from 2-hydroxy-3-methoxybenzaldehyde and pyrimidine-4-carbohydrazide {H2L = (E)-N'-(2-hydroxy-3-methoxybenzylidene)pyrimidine-4-carbohydrazide}, which was used to assemble two new Dy2 complexes Dy2L2(DMF)2(NO3)2 (1) and Dy2L2(DMF)2(AcO)2 (2). Notably, the coordinated anions have a subtle effect on the coordination configurations of the Dy3+ ions and the magnetic properties of the two Dy2 complexes. The Dy3+ ions in 1 and 2 have the same N2O5 coordination environment but show the triangular dodecahedron and the biaugmented trigonal prism coordination configurations, respectively. Magnetic measurements revealed that both 1 and 2 have intramolecular ferromagnetic interactions between the Dy3+ ions and show single-molecule magnet behaviors at 0 Oe, with Ueff/k values of 58.2 K for 1 and 59.9 K for 2. These magnetic properties may be explained by theoretical calculations.

The OsDIR55 gene increases salt tolerance by altering the root diffusion barrier.

The increased soil salinity is becoming a major challenge to produce more crops and feed the growing population of the world. In this study, we demonstrated that overexpression of OsDIR55 gene enhances rice salt tolerance by altering the root diffusion barrier. OsDIR55 is broadly expressed in all examined tissues and organs with the maximum expression levels at lignified regions in rice roots. Salt stress upregulates the expression of OsDIR55 gene in an abscisic acid (ABA)-dependent manner. Loss-function and overexpression of OsDIR55 compromised and improved the development of CS and root diffusion barrier, manifested with the decreased and increased width of CS, respectively, and ultimately affected the permeability of the apoplastic diffusion barrier in roots. OsDIR55 deficiency resulted in Na+ accumulation, ionic imbalance, and growth arrest, whereas overexpression of OsDIR55 enhances salinity tolerance and provides an overall benefit to plant growth and yield potential. Collectively, we propose that OsDIR55 is crucial for ions balance control and salt stress tolerance through regulating lignification-mediated root barrier modifications in rice.

The effect of magnetic coupling along the magnetic axis on slow magnetic relaxation in DyIII complexes with D5h configuration based on an aggregation-induced-emission-active ligand.

The adjustment of crystal symmetry and intramolecular magnetic coupling is of great importance for the construction of high-performance single-molecule magnets. By using an aggregation-induced-emission-active pyridine-carbohydrazone-based Schiff base ligand and phosphine oxides, four dinuclear and one one-dimensional DyIII-based complexes, [Dy2(TPE-pc)2(Bu3PO)2Cl2]·2CH3CN·2H2O (1), [Dy2(TPE-pc)2(Cy3PO)2Cl2] (2), [Dy2(TPE-pc)2(MePA)2Cl2]·2CH3OH (3), [Dy2(TPE-pc)2(Ph3PO)2Cl2]2 (4) and [Dy2(TPE-pc)2(DPPO)Cl2]n (5) (H2TPE-pc = (E)-N'-(2-hydroxy-5-(1,2,2-triphenylvinyl)benzylidene)picolinohydrazide, MePA = N-phenyl-N',N''-bis(morpholinyl) phosphoric triamide, DPPO = piperazine-1,4-diylbis(diphenyl phosphine oxide)), were isolated. All complexes are made up of an enol oxygen-bridged Dy2 unit, where DyIII ions possess a pentagonal bipyramidal geometry with pseudo D5h symmetry. Magnetic measurements reveal that intramolecular DyIII-DyIII couplings are ferromagnetic and all complexes display a significant slow magnetic relaxation phenomenon below 30 K under a zero dc field. Ab initio calculations indicate that the anisotropic magnetic axes of all DyIII ions are approximately perpendicular to the higher-order symmetric axes in all complexes, and that DyIII-DyIII magnetic couplings along the magnetic axes effectively suppress the ground state quantum tunneling effect of magnetization and promote the occurrence of slow magnetic relaxation. Raman relaxation prevails in all complexes. In addition, the H2TPE-pc ligand shows an aggregation-induced emission (AIE) effect; however, all complexes exhibit an aggregation-caused quenching (ACQ) phenomenon.

Effects of six teaching strategies on medical students: protocol for a systematic review and network meta-analysis.

INTRODUCTION: Mounting evidence has suggested that novel teaching strategies have a positive impact on the quality and efficiency of medical education. However, the comprehensive evidence about the superiority among various strategies is not clear. To address this issue, we aim to conduct a systematic review and network meta-analysis (NMA) to evaluate the effects of six main strategies on medical education, including case-based learning, problem-based learning, team-based learning, flipped classrooms, simulation-based education and bridge-in, objective, preassessment, participatory learning, postassessment and summary. METHODS AND ANALYSIS: A systematic search will be conducted in PubMed, Embase, Web of Science and the Cochrane Library, covering studies published from database inception to November 2023. Randomised controlled trials which evaluated the different teaching methods and meet the eligibility criteria will be included. The effectiveness of medical students' learning, which is evaluated by theoretical test score, experimental or practical test score, will be analysed as the primary outcomes. Besides, the secondary outcomes consist of learning satisfaction of students and formative evaluation score. The study selection and data extraction will be independently performed by two authors. The risk of bias in each study will be assessed using V.2 of the Cochrane risk-of-bias tool for randomised controlled trials. To compare the effects of six teaching strategies, pairwise meta-analysis and NMA will be performed using Rev Man, STATA and R software. Statistical analyses including homogeneity tests, sensitivity analysis, consistency tests, subgroup analysis, Egger's test and publication bias will also be completed. ETHICS AND DISSEMINATION: No formal research ethics approval is required because this study is a meta-analysis based on published studies. The results will be disseminated to a peer-reviewed journal for publication. PROTOCOL REGISTRATION NUMBER: CRD42023456050.

Functional near infrared imaging of college students on speech fluency tasks in traumatized / 中国学校卫生

Objective@#The study aims to explore the neural mechanism of cognitive differences in college students with posttraumatic stress disorder under verbal fluency task based on functional near infrared spectroscopy (fNIRS), so as to provide neuroimaging support for the evaluation, diagnosis and treatment of posttraumatic stress disorder(PTSD).@*Methods@#Posttaumatic Stress Disorder Checklist Combat(PCL-C) was used to screen the subjects, including 21 students in PTSD group (PCL-C≥38) and 30 students in control group from September to Novenber in 2020. A 53 channel near infrared spectroscopy device was used to collect cerebral blood oxygen signals under the verbal fluency task, and correlation analysis, Mann Whitney U test and independent sample t test were performed on the results.@*Results@#The difference in the total average score of PCL-C Scale between PTSD group and the control group(46.38±6.96，25.57±6.09) was statistically significant ( t=11.33, P <0.05). Correlation analysis showed that Avg-HbO in left dorsolateral prefrontal lobe was negatively correlated with PCL-C Score ( r=-0.37, P <0.05). Mann Whitney U test showed that in the left dorsolateral prefrontal lobe (Ch6), the Avg-HbO change in PTSD group [0.19(-0.09, 0.86)mmol/(L〖KG*7〗·mm)] was significantly lower than the control group [0.79( 0.37 , 1.47)mmol/(L ·mm)] ( Z=2.16, P <0.05), which was statistically significant.@*Conclusions@#The degree of PTSD was negatively correlated with the index of oxygenated hemoglobin in the left dorsolateral prefrontal lobe, and the oxygenated hemoglobin content in the PTSD group was lower than that in the normal group. In the future, fNIRS may be used to collect blood oxygen signals from the left dorsolateral prefrontal lobe in cognitive tasks to provide imaging evidence for the identification of PTSD.

Risk factors for cough after pulmonary resection.

BACKGROUND: To investigate the risk factors for cough after pulmonary resection. METHODS: The PubMed, Embase, Web of Science, ClinicalTrials.gov, and China National Knowledge Network databases were searched from inception to November 2022. The Q tests and I2 statistic were used to evaluate the heterogeneity. Odds ratios (OR) were combined using the inverse variance method. All statistical analyses were performed by RevMan 5.4.1. RESULTS: Nineteen studies with 4755 patients were included, the incidence of postoperative cough was 21.1%-55.8%. The results showed that young age [OR = 0.66, 95% CI (0.46, 0.96), p = 0.03], female sex [OR = 1.69, 95% CI (1.07, 2.66), p = 0.02], preoperative cough [OR = 5.96, 95% CI (2.58, 13.73), p < 0.01], right lobe operation [OR = 2.14, 95% CI (1.44, 3.19), p < 0.01], lobectomy [OR = 3.70, 95% CI (1.73, 7.90), p < 0.01], subcarinal lymph node dissection [OR = 3.45, 95% CI (1.86, 6.39), p < 0.01], mediastinal lymph node removal [OR = 3.49, 95% CI (2.07, 5.89), p < 0.01], closure of bronchial stump with stapler [OR = 5.19, 95% CI (1.79, 15.07), p < 0.01], peritracheal lymph node resection [OR = 3.05, 95%CI (1.40,6.64), p < 0.01], postoperative acid reflux [OR = 11.07, 95%CI (4.38,28.02), p < 0.01] were independent risk factors for cough after pulmonary resection. CONCLUSIONS: Young age, female sex, preoperative cough, right lobe operation, lobectomy, subcarinal lymph node dissection, mediastinal lymph node removal, closure of bronchial stump with stapler, peritracheal lymph node resection, and postoperative acid reflux are independent risk factors for cough after pulmonary resection.

The Influence of Tourist Attraction Type on Product Price Perception and Neural Mechanism in Tourism Consumption: An ERP Study.

Background: Tourism consumption is a topic with heated debates in tourism research, and pricing tourism products is a crucial task for tourism managers. Different types of tourist attractions offer different experiences to tourists, which affect their price perceptions and purchase decisions. Methods: This study combined questionnaires and event-related potentials (ERPs) measures to explore the magnitude of psychological conflict and the degree of emotional arousal that consumers experience when faced with different prices of goods in different scenic types. Results: The questionnaire results showed that attraction type influenced consumers' price perceptions and that consumers were willing to pay higher prices for products in attractions. The ERP results implied that in the early stage of cognition, attraction type did not affect consumers' perceptual processing, while price information attracted consumers' cognitive attention. In the late stage of cognition, attraction type, and price information jointly influenced consumers' decision-making, and consumers tended to accept high prices of products in entertainment attractions and cultural attractions, but consumers were more sensitive to the price of products in cultural attractions and less tolerant to price increases. Conclusion: The study elucidated how price information influenced consumers' purchase decisions of tourism products at different stages of the dual-process theory, which can assist tourism managers in devising different pricing strategies and positioning strategies based on the attributes of attractions, to enhance product sales and revenues. This would further the vision of the World Tourism Organization (UNWTO) of "tourism fostering economic development".

ResNet and its application to medical image processing: Research progress and challenges.

BACKGROUND AND OBJECTIVE: Deep learning, a novel approach and subset of machine learning, has drawn a growing amount of attention from computer vision researchers in recent years. This method has drawn a lot of interest because of its extraordinary ability to interpret medical pictures, especially when combined with residual neural networks, which have helped to progress the field. METHODS: In this paper, the following research is carried out on the residual network. First, the research status of ResNet in the medical field is introduced. The fundamental idea behind the residual neural network is then explained, along with the residual unit, its many structures, and the network architecture. Second, four aspects of the widespread use of residual neural networks in medical image processing are discussed: lung tumor, diagnosis of skin diseases, diagnosis of breast diseases, and diagnosis of diseases of the brain. Finally, the main issues and ResNet's future development in the area of processing medical images are discussed. RESULTS: In the area of medical graph processing, residual neural networks have made strides and have had success in the clinical auxiliary diagnosis of serious illnesses such as lung tumors, breast cancer, skin conditions, and cardiovascular and cerebrovascular diseases. CONCLUSION: We thoroughly sorted out the most recent developments in residual neural network research and their use in medical image processing, which serves as a crucial point of reference for this field of study. It offers a helpful reference for further promoting the application and research of the ResNet model in the field of medical image processing by summarising the application status and issues of the ResNet model in the field of medical image processing and putting forwards some future development directions.

Lipid droplets proteome reveals dynamic changes of lipid droplets protein during embryonic development of Carya cathayensis nuts.

Lipid droplets (LD) is an important intracellular organelle for triacylglycerols (TAGs) storage. A variety of proteins on the surface of LD coordinately control the contents, size, stability and biogenesis of LD. However, the LD proteins in Chinese hickory (Carya cathayensis) nuts, which is rich in oil and composed of unsaturated fatty acids, have not been identified and their roles in LD formation still remain largely unknown. In present study, LD fractions from three developmental stages of Chinese hickory seed were enriched and the LD fraction accumulated proteins were then isolated and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Protein compositions throughout the various developmental phases were calculated using label-free intensity-based absolute quantification (iBAQ) algorithm. The dynamic proportion of high abundance lipid droplets proteins such as oleosins 2 (OLE2), caleosins 1 (CLO1) and steroleosin 5 (HSD5) increased parallelly with the embryo development. For low abundance lipid droplets proteins, seed LD protein 2 (SLDP2), sterol methyltransferase 1 (SMT1) and LD-associated protein 1 (LDAP1) were the predominant proteins. Moreover, 14 low abundance OB proteins such as oil body-associated protein 2 A (OBAP2A) were selected for future investigation that may associate with embryo development. Overall, 62 differentially expressed proteins (DEPs) were determined by label free quantification (LFQ) algorithms and may involve in LD biogenesis. Furthermore, the subcellular localization validation indicated that selected LD proteins were targeted to the lipid droplets, confirming the promising of proteome data. Taken together, this comparative study may shed light on further study to understand the lipid droplets function in the seed, which contains high oil content.

Knockdown of 11ß-hydroxysteroid dehydrogenase type 1 alleviates LPS-induced myocardial dysfunction through the AMPK/SIRT1/PGC-1α pathway.

Sepsis-induced myocardial dysfunction is primarily accompanied by severe sepsis, which is associated with high morbidity and mortality. 11ß-hydroxysteroid dehydrogenase type 1 (11ß-HSD1), encoded by Hsd11b1, is a reductase that can convert inactive cortisone into metabolically active cortisol, but the role of 11ß-HSD1 in sepsis-induced myocardial dysfunction remains poorly understood. The current study aimed to investigate the effects of 11ß-HSD1 on a lipopolysaccharide (LPS)-induced mouse model, in which LPS (10 mg/kg) was administered to wild-type C57BL/6J mice and 11ß-HSD1 global knockout mice. We asscessed cardiac function by echocardiography, performed transmission electron microscopy and immunohistochemical staining to analyze myocardial mitochondrial injury and histological changes, and determined the levels of reactive oxygen species and biomarkers of oxidative stress. We also employed polymerase chain reaction analysis, Western blotting, and immunofluorescent staining to determine the expression of related genes and proteins. To investigate the role of 11ß-HSD1 in sepsis-induced myocardial dysfunction, we used LPS to induce lentivirus-infected neonatal rat ventricular cardiomyocytes. We found that knockdown of 11ß-HSD1 alleviated LPS-induced myocardial mitochondrial injury, oxidative stress, and inflammation, along with an improved myocardial function; furthermore, the depletion of 11ß-HSD1 promoted the phosphorylation of adenosine 5'-monophosphate-activated protein kinase (AMPK), peroxisome proliferator-activated receptor gamma coactivator 1α (PGC-1α), and silent information regulator 1 (SIRT1) protein levels both in vivo and in vitro. Therefore, the suppression of 11ß-HSD1 may be a viable strategy to improve cardiac function against endotoxemia challenges.

In-situ construction of Cr2O3@ATO hybrid pigment towards synergetic enhancement of visible light-infrared-radar compatible stealth.

Multiband compatible stealth engineering with controllable visible light-infrared (VIS-IR) features and radar wave absorption is urgently needed to improve the survivability of advanced military equipment. Cr2O3 has good visible light stealth performance under green background, but it is lack of IR and radar multi-band stealth properties. Herein, a core-shelled Cr2O3@stannic antimony oxide (ATO) structure was developed to enhance the IR-radar compatible stealth properties of Cr2O3 by in-situ precipitation method, concurrently maintaining its visible light stealth property. The morphology, conductivity, and infrared stealth properties of the Cr2O3@ATO hybrids were influenced by the calcination temperature, and the IR and radar stealth performance were tunable by ATO content. The lowest emissivity of Cr2O3@ATO pigments is 0.852, reduced by 10% than pure Cr2O3. The Cr2O3@ATO filled silicone resin coatings possessed good thermal stability and IR stealth stability. Benefiting from the enhanced interfacial polarization and conductive loss, the Cr2O3@ATO exhibited an effective absorption bandwidth of 2 GHz in the X band, with respect to pure Cr2O3 without radar absorption property. The Cr2O3@ATO structure opens an avenue for advanced VIS-IR-Radar compatible stealth materials.

WRINKLED1 Positively Regulates Oil Biosynthesis in Carya cathayensis.

Hickory (Carya cathayensis Sarg.) is a kind of important woody oil tree species, and its nut has high nutritional value. Previous gene coexpression analysis showed that WRINKLED1 (WRI1) may be a core regulator during embryo oil accumulation in hickory. However, its specific regulatory mechanism on hickory oil biosynthesis has not been investigated. Herein, two hickory orthologs of WRI1 (CcWRI1A and CcWRI1B) containing two AP2 domains with AW-box binding sites and three intrinsically disordered regions (IDRs) but lacking the PEST motif in the C-terminus were characterized. They are nucleus-located and have self-activated ability. The expression of these two genes was tissue-specific and relatively high in the developing embryo. Notably, CcWRI1A and CcWRI1B can restore the low oil content, shrinkage phenotype, composition of fatty acid, and expression of oil biosynthesis pathway genes of Arabidopsis wri1-1 mutant seeds. Additionally, CcWRI1A/B were shown to modulate the expression of some fatty acid biosynthesis genes in the transient expression system of nonseed tissues. Transcriptional activation analysis further indicated that CcWRI1s directly activated the expression of SUCROSE SYNTHASE2 (SUS2), PYRUVATE KINASE ß SUBUNIT 1 (PKP-ß1), and BIOTIN CARBOXYL CARRIER PROTEIN2 (BCCP2) involved in oil biosynthesis. These results suggest that CcWRI1s can promote oil synthesis by upregulating some late glycolysis- and fatty acid biosynthesis-related genes. This work reveals the positive function of CcWRI1s in oil accumulation and provides a potential target for improving plant oil by bioengineering technology.

11ß-Hydroxysteroid dehydrogenase type 1 amplifies inflammation in LPS-induced THP-1 cells.

Objectives: The role of glucocorticoids as anti-inflammatory and immune-stimulatory drugs has been widely reported. However, the role of 11ß-hydroxysteroid dehydrogenase type 1 (11ß-HSD1), which catalyzes the conversion of inactive cortisone into active cortisol, in inflammation remains unclear. This study aimed to examine the mechanism of actions of 11ß-HSD1 in lipopolysaccharide (LPS)-induced THP-1 cells. Materials and Methods: The gene expression of 11ß-HSD1 and pro-inflammatory cytokines was detected via RT-PCR. The protein expression of IL-1ß in cell supernatants was detected via ELISA. Oxidative stress and mitochondrial membrane potential were assessed using a reactive oxygen species (ROS) kit and a mitochondrial membrane potential (MMP) kit, respectively. The expression of Nuclear Factor- Kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) was detected via western blotting. Results: Elevated levels of 11ß-HSD1 contributed to the expression of inflammatory cytokines, whereas BVT.2733, a selective 11ß-HSD1 inhibitor, ameliorated inflammatory responses, ROS, and mitochondrial damage in LPS-stimulated THP-1 cells. Furthermore, cortisone and cortisol, which are the substrate and product of 11ß-HSD1, respectively, showed biphasic responses and induced the expression of pro-inflammatory cytokines at a low concentration in both LPS-stimulated or untreated THP-1 cells. The enhanced inflammation was attenuated by co-treatment with BVT.2733 and the glucocorticoid receptor (GR) antagonist RU486, but not in those treated with the mineralocorticoid receptor (MR) antagonist spironolactone. Overall, the results indicate that 11ß-HSD1 amplifies inflammatory responses by activating the NF-κB and MAPK signaling pathways. Conclusion: Inhibition of 11ß-HSD1 may serve as a potential therapeutic target against the excessive activation of inflammation.

Dorsolateral prefrontal activation in depressed young adults with and without suicidal ideation during an emotional autobiographical memory task: A fNIRS study.

OBJECTIVE: Previous studies have proved that there is a strong association between dorsolateral prefrontal cortex and mood symptoms. This study aimed at using functional near-infrared spectroscopy technology to invest brain activity in dlPFC of depressed individuals with and without suicidal ideation during emotional autobiographical memory test, and to understand their differences in brain cognitive mechanisms. It is helpful to improve our ability to predict and subsequently to prevent suicide. METHODS: 85 young adults participated in the study by a simple random sampling method, with health control (34participants), depression with suicidal ideation (17participants), and depression without suicidal ideation (34participants). The average oxyhemoglobin in dlPFC of subjects during EAMT was collected by a 53-channel fNIRS imaging device. RESULTS: A marginal significant difference was found between three groups in left dlPFC and right dlPFC. Post hoc analysis revealed that: (1) under negative emotion, depression without suicidal ideation group had higher activation than healthy control group in left dlPFC. (2) under positive emotion, depression with suicidal ideation group had lower activation than healthy control in right dlPFC. CONCLUSIONS: Results indicated that the depressed individuals with suicidal ideation had some deficits in executive function in right dlPFC, while the depressed adults without suicidal ideation may have mechanism of resource compensatory recruitment in left dlPFC and the dlPFC abnormality involved in the pathophysiology, may localize within left hemisphere. The depressed individuals with and without suicidal ideation had the different mechanisms in dlPFC and fNIRS can be a neuroimaging biomarker characterizing or predicting suicidality in depressed individuals.

Feedback attention network for cardiac magnetic resonance imaging super-resolution.

BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a common clinical arrhythmia with a high disability and mortality rate. Improving the resolution of atrial structure and its changes in patients with AF is very important for understanding and treating AF. METHODS: Aiming at the problems of previous deep learning-based image super-resolution (SR) reconstruction methods simply deepening the network, loss of upsampling information, and difficulty in the reconstruction of high-frequency information, we propose the Feedback Attention Network (FBAN) for cardiac magnetic resonance imaging (CMRI) super-resolution. The network comprises a preprocessing module, a multi-scale residual group module, an upsampling module, and a reconstruction module. The preprocessing module uses a convolutional layer to extract shallow features and dilate the number of channels of the feature map. The multi-scale residual group module adds a multi-channel network, a mixed attention mechanism, and a long and short skip connection to expand the receptive field of the feature map, improve the multiplexing of multi-scale features and strengthen the reconstruction of high-frequency information. The upsampling module adopts the sub-pixel method to upsample the feature map to the target image size. The reconstruction module consists of a convolutional layer, which is used to restore the number of channels of the feature map to the original number to obtain the reconstructed high-resolution (HR) image. RESULTS: Furthermore, the test results on the public dataset of CMRI show that the HR images reconstructed by the FBAN method not only have a good improvement in reconstructed edge and texture information but also have a good improvement in the peak signal-to-noise ratio (PSNR) and the structural similarity index (SSIM) objective evaluation indicators. CONCLUSION: Compared with the local magnified image, the edge information of the FBAN method reconstructed image has been enhanced, more high-frequency information of the CMRI is restored, the texture details are less lost, and the reconstructed image is less blurry. Overall, the reconstructed image has a lighter feeling of smearing, and the visual experience is more apparent and sharper.

Suppression of hepatocellular carcinoma progression by long noncoding RNA apolipoprotein C1 pseudogene via the regulation of the microRNA-106b-PTEN axis.

Background: Numerous researches have reported that long noncoding RNAs (lncRNAs) participate in tumor development and progression. LncRNA apolipoprotein C-I pseudogene 1 (APOC1P1), a pseudogene located in 19q13.2 between apolipoprotein C-I and apolipoprotein C-IV, is involved in a variety of diseases. However, the role of lncRNA APOC1P1 in hepatocellular carcinoma (HCC) remains unknown. Methods: Quantitative polymerase chain reaction (qPCR) was performed to examine the expression of APOC1P1, miR-106b, and PTEN (phosphatase and TENsin homolog deleted on chromosome 10) in HCC tissues, adjacent normal tissues, and specific cell lines (LO2, Bel-7407, HCCLM3, MHCC-97H, Hep G2, and Huh-7). Upregulation of APOC1P1 and downregulation of miR-106b were conducted via application of vector transfection and microRNA (miRNA) inhibitor. Bioinformatics analysis and luciferase reporter assay were used to verify the binding sites of APOC1P1, miR-106b, and PTEN. Cell proliferation and invasion were determined with Cell Counting Kit-8 (CCK-8) and Transwell experiments. Subcellular location analysis was used to determine the distribution of APOC1P1 in cells, and Western blotting was used to detect the expression of PTEN. Results: It was found that the expressions of APOC1P1 and PTEN were downregulated, while that of miR-106b was upregulated in HCC tissues and cells. Subcellular location analysis showed that APOC1P1 was localized in cytoplasm and competitively bound to miR-106b. APOC1P1 overexpression and miR-106b inhibition suppressed HCC cell proliferation and invasion. qPCR indicated the negative correlation between APOC1P1 expression and miR-106b expression in HCC tissues and a positive correlation between APOC1P1 and PTEN. Conclusions: Our findings suggested that the lncRNA APOC1P1 inhibits HCC progression by competitively binding to miR-106b, leading to elevated PTEN expression, inhibiting cell proliferation and invasion in HCC cells. These results provide new insights into the diagnosis and therapy of HCC.

Dual attention mechanism network for lung cancer images super-resolution.

BACKGROUND AND OBJECTIVE: Currently, the morbidity and mortality of lung cancer rank first among malignant tumors worldwide. Improving the resolution of thin-slice CT of the lung is particularly important for the early diagnosis of lung cancer screening. METHODS: Aiming at the problems of network training difficulty and low utilization of feature information caused by the deepening of network layers in super-resolution (SR) reconstruction technology, we propose the dual attention mechanism network for single image super-resolution (SISR). Firstly, the feature of a low-resolution image is extracted directly to retain the feature information. Secondly, several independent dual attention mechanism modules are constructed to extract high-frequency details. The introduction of residual connections can effectively solve the gradient disappearance caused by network deepening, and long and short skip connections can effectively enhance the data features. Furthermore, a hybrid loss function speeds up the network's convergence and improves image SR restoration ability. Finally, through the upsampling operation, the reconstructed high-resolution image is obtained. RESULTS: The results on the Set5 dataset for 4 × enlargement show that compared with traditional SR methods such as Bicubic, VDSR, and DRRN, the average PSNR/SSIM is increased by 3.33 dB / 0.079, 0.41 dB / 0.007 and 0.22 dB / 0.006 respectively. The experimental data fully show that DAMN can better restore the image contour features, obtain higher PSNR, SSIM, and better visual effect. CONCLUSION: Through the DAMN reconstruction method, the image quality can be improved without increasing radiation exposure and scanning time. Radiologists can enhance their confidence in diagnosing early lung cancer, provide a basis for clinical experts to choose treatment plans, formulate follow-up strategies, and benefit patients in the early stage.

Couplet Analysis of Linguistic Topology Using Deep Neural Networks in Cognitive Linguistics.

The work reported here primarily aims to realize the automatic generation of couplets using the linguistic topology of deep neural network (DNN). First, the symmetry, topology, and cognitive linguistics of language are explored to lay a theoretical foundation for subsequent model establishment and analysis. Then, the recurrent neural network (RNN) is employed to build the Seq2Seq model, and Liweng's Guide to Rhyme (an ancient Chinese enlightenment reading material to poetry creation) is imported into the Seq2Seq model as a basic corpus. Eventually, the entire system is implemented automatically on TensorFlow. The system undergoes tests of the five-character quatrain, the seven-character quatrain, the couplet, and the part-of-speech detection. Results demonstrate that both the first and the second lines of the couplet present an excellent correspondence regarding sentences and words. After some famous verses are entered, the second line of the couplet obtained is quite vivid and appropriate. Meanwhile, the results can be generated quickly and meet the requirements on rhyme and couplet matching. This model can input verses according to users' own needs and generate the second line of the couplet quickly, showing good correspondence in words, part-of-speech, and sentence pattern. Because the couplet belongs to Chinese traditional culture, it has a strong local Chinese cultural flavor. The system designed based on computer technology can help people learn and experience the charm of couplets.

Multimodal ultrasound fusion network for differentiating between benign and malignant solid renal tumors.

Objective: We aim to establish a deep learning model called multimodal ultrasound fusion network (MUF-Net) based on gray-scale and contrast-enhanced ultrasound (CEUS) images for classifying benign and malignant solid renal tumors automatically and to compare the model's performance with the assessments by radiologists with different levels of experience. Methods: A retrospective study included the CEUS videos of 181 patients with solid renal tumors (81 benign and 100 malignant tumors) from June 2012 to June 2021. A total of 9794 B-mode and CEUS-mode images were cropped from the CEUS videos. The MUF-Net was proposed to combine gray-scale and CEUS images to differentiate benign and malignant solid renal tumors. In this network, two independent branches were designed to extract features from each of the two modalities, and the features were fused using adaptive weights. Finally, the network output a classification score based on the fused features. The model's performance was evaluated using five-fold cross-validation and compared with the assessments of the two groups of radiologists with different levels of experience. Results: For the discrimination between benign and malignant solid renal tumors, the junior radiologist group, senior radiologist group, and MUF-Net achieved accuracy of 70.6%, 75.7%, and 80.0%, sensitivity of 89.3%, 95.9%, and 80.4%, specificity of 58.7%, 62.9%, and 79.1%, and area under the receiver operating characteristic curve of 0.740 (95% confidence internal (CI): 0.70-0.75), 0.794 (95% CI: 0.72-0.83), and 0.877 (95% CI: 0.83-0.93), respectively. Conclusion: The MUF-Net model can accurately classify benign and malignant solid renal tumors and achieve better performance than senior radiologists. Key points: The CEUS video data contain the entire tumor microcirculation perfusion characteristics. The proposed MUF-Net based on B-mode and CEUS-mode images can accurately distinguish between benign and malignant solid renal tumors with an area under the receiver operating characteristic curve of 0.877, which surpasses senior radiologists' assessments by a large margin.