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Although morbidity has decreased in developed regions, cervical cancer (CC) continues to have the highest incidence of all gynecological malignancies. The burden of morbidity and mortality in developing regions is also rising quickly, especially for advanced CC. Along with apoptosis, iron death, and other forms of programmed cell death, pyroptosis is a significant inflammatory process. Its connection to the malignancy mechanism has been verified. The expression of genes linked to pyroptosis in CC tissue and its relationship to prognosis, however, remain poorly understood. Using The Cancer Genome Atlas, we first discovered 13 differentially expressed pyroptosis-related genes (DE-PRGs) in the study (TCGA). Based on DE-PRGs, CC patients were divided into four subtypes. The 4 parts' times showed large variations according to the K-M curve. Then, using the least absolute shrinkage and selection operator (LASSO) Cox regression method, we created a mod el for predicting CC based on pyroptosis-associated genes. There were significant differences in overall survival (OS) times involving the high-risk and low-risk groups for all CC patients in the TCGA group, who were divided into lowrisk and high-risk groups (p equals 0.0441). The risk score status as an independent prognostic factor for CC was confirmed by independent prognostic predictor validation. The analyses of single-sample gene set and enrichment analysis (ssGSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO) all revealed significant differences in immune cells and immune pathways involving high- and lowrisk groups (p less than 0.001), indicating a weakened immune status in high-risk groups. In conclusion, pyroptosis-associated genes are involved in tumor immunity and can help determine a patient's prognosis for CC. As a result, we have created and validated a signature that is related to pyroptosis and predicts CC prognosis, which may aid in early diagnosis, prognostic analysis, and immunotherapy. [ABSTRACT FROM AUTHOR]

Background: Robotic platform has been increasingly applied in major hepatectomy. However, the role or advantage of robotic approach comparing with laparoscopic approach in major hepatectomy remains controversial. This meta-analysis compares perioperative outcomes of robotic major hepatectomy (RMH) to laparoscopic major hepatectomy (LMH) for hepatic neoplasms. Methods: PubMed, Web of Science, EMBASE, and Cochrane Library were searched to identify comparative studies compared RMH versus LMH for hepatic neoplasms. The search timeframe was set before May 2023. Main outcomes were mortality, overall morbidities, serious complications, and conversion to open surgery. Secondary outcomes were operative time, intraoperative blood loss, blood transfusion, postoperative length of hospital stay, R0 resection, reoperation, and readmission. Studies were evaluated for quality by Cochrane risk of bias tool or Newcastle-Ottawa scale. Data were pooled as odds ratio (OR) or mean difference (MD). This study was registered at PROSPERO (CRD42023410951). Results: Twelve retrospective cohort studies concerning total 1657 patients (796 RMH, 861 LMH) were included. Meta-analyses showed no significant differences in mortality (OR= 1.23, 95% CI =0.50-2.98, P=0.65), overall postoperative complications (OR =0.83, 95% CI= 0.65-1.06, P=0.14), operative time (MD =6.47, 95% CI= -14.72 to 27.65, P=0.55), blood transfusion (OR =0.77, 95% CI= 0.55-1.08, P =0.13), R0 resection (OR= 1.45, 95% CI= 0.91-2.31, P=0.12), reoperation (OR =0.76, 95% CI =0.31-1.88, P=0.56), and readmission (OR =0.63, 95% CI= 0.28-1.44, P =0.27) between RMH and LMH. Incidence of serious complications (OR =0.60, 95% CI= 0.40-0.90, P =0.01), conversion to open surgery (OR= 0.41, 95% CI =0.27-0.63, P <0.0001), blood loss (MD= -91.42, 95% CI = - 142.18 to -40.66, P= 0.0004), and postoperative hospital stay (MD= -0.64, 95% CI = - 0.78 to -0.49, P<0.00001) were reduced for RMH versus LMH. Conclusions: RMH is associated with comparable short-term surgical outcomes and oncologic adequacy compared to LMH when performed by experienced surgeons at large centres. RMH may result in reduced major morbidities, conversion rate, blood loss, and hospital stay, but these results were volatile. Further randomized studies should address the potential advantages of RMH over LMH. [ABSTRACT FROM AUTHOR]

Although most deep learning-based methods have achieved excellent performance for hyperspectral image (HSI) classification, they are often limited by complex networks and require massive training samples in practical applications. Therefore, designing an efficient, lightweight model to obtain better classification results under small samples situations remains a challenging task. To alleviate this problem, a novel, lightweight parallel octave convolutional neural network (LPOCNN) for HSI classification is proposed in this paper. First, the HSI data is preprocessed to construct two three-dimensional (3D) patch cubes with different spatial and spectral scales for each central pixel, removing redundancy and focusing on extracting spatial features and spectral features, respectively. Next, two nondeep parallel branches are created for the two inputs, which design octave convolution rather than classical 3D convolution to facilitate light weighting of the model. Then two-dimensional convolutional neural network is used to extract deeper spectral-spatial features when fusing spectral-spatial features from different parallel layers. Moreover, the spectral-spatial attention is designed to promote the classification performance even further by adaptively adjusting the weights of different spectral-spatial features according to their contribution to classification. Experiments show that our suggested LPOCNN acquires a significant advantage on classification performance over other competitive methods under small sample situations. [ABSTRACT FROM AUTHOR]

The foreseeable future shows unprecedented growth for augmented reality (AR) technology in marketing. Previous literature showed mixed findings regarding the effectiveness of using augmented reality in marketing. This study provides evidence of the positive effect of AR from a brand-new standpoint of advertising and marketing professionals. The authors employed in-depth interviews to uncover and explain the phenomenon of using AR in marketing. The study found that despite hurdles and challenges, advertisers have a positive attitude toward AR, and ad agencies are likely to adopt AR in future marketing campaigns. The study sheds light on the attitude of advertisers towards the use of AR in marketing, and their anticipated outcomes. The findings provide guidance for brands and firms when making marketing decisions to utilize AR technology. [ABSTRACT FROM AUTHOR]

Toluene diisocyanate (TDI) is a major industrial compound that induces occupational asthma with steroid-resistant properties. Recent studies suggest that the gastrointestinal tract may be an effective target for the treatment of respiratory diseases. However, the alterations of the gut-lung axis in TDI-induced asthma remain unexplored. Therefore, in this study, a model of stable occupational asthma caused by TDI exposure was established to detect the alteration of the gut-lung axis. Exposure to TDI resulted in dysbiosis of the gut microbiome, with significant decreases in Barnesiella_intestinihominis, Faecalicoccus_pleomorphus, Lactobacillus_apodemi, and Lactobacillus_intestinalis, but increases in Alistipes_shahii and Odoribacter_laneus. The largest change in abundance was in Barnesiella_intestinihominis, which decreased from 12.14 per cent to 6.18 per cent. The histopathological abnormalities, including shorter length of intestinal villi, thinner thickness of muscularis, reduced number of goblet cells and inflammatory cell infiltration, were found in TDI-treated mice compared to control mice. In addition, increased permeability (evidenced by significantly reduced levels of ZO-1, Occludin and Claudin-1) and activation of TLR4/NF-κB signaling were observed in the intestine of these TDI-exposed mice. Concurrently, exposure to TDI resulted in airway hyperresponsiveness, overt cytokine production (e.g., IL-4, IL-5, IL-13, IL-25, and IL-33), and elevated IgE level within the respiratory tract. The expression of tight junction proteins is reduced and TLR4/NF-κB signaling is activated in the lung following TDI treatment. In addition, correlation analyses showed that changes in the gut microbiota were correlated with TDI exposure-induced airway inflammation. In conclusion, the present study suggests that the immune gut-lung axis may be involved in the development of TDI-induced asthma, which may have implications for potential interventions against steroid-resistant asthma. [Display omitted] • Exposure to TDI causes lung injury and gut microbiome dysbiosis. • Exposure to TDI decreases the expression of tight junction proteins in both gut and lung. • Exposure to TDI increases the activation of TLR4/NF-κB signaling in both gut and lung. • The immune gut-lung axis may be a critical factor in the development of TDI-induced lung injury. [ABSTRACT FROM AUTHOR]

Toluene diisocyanate (TDI) is a major industrial compound that induces occupational asthma with steroid-resistant properties. Recent studies suggest that the gastrointestinal tract may be an effective target for the treatment of respiratory diseases. However, the alterations of the gut-lung axis in TDI-induced asthma remain unexplored. Therefore, in this study, a model of stable occupational asthma caused by TDI exposure was established to detect the alteration of the gut-lung axis. Exposure to TDI resulted in dysbiosis of the gut microbiome, with significant decreases in Barnesiella_intestinihominis, Faecalicoccus_pleomorphus, Lactobacillus_apodemi, and Lactobacillus_intestinalis, but increases in Alistipes_shahii and Odoribacter_laneus. The largest change in abundance was in Barnesiella_intestinihominis, which decreased from 12.14 per cent to 6.18 per cent. The histopathological abnormalities, including shorter length of intestinal villi, thinner thickness of muscularis, reduced number of goblet cells and inflammatory cell infiltration, were found in TDI-treated mice compared to control mice. In addition, increased permeability (evidenced by significantly reduced levels of ZO-1, Occludin and Claudin-1) and activation of TLR4/NF-κB signaling were observed in the intestine of these TDI-exposed mice. Concurrently, exposure to TDI resulted in airway hyperresponsiveness, overt cytokine production (e.g., IL-4, IL-5, IL-13, IL-25, and IL-33), and elevated IgE level within the respiratory tract. The expression of tight junction proteins is reduced and TLR4/NF-κB signaling is activated in the lung following TDI treatment. In addition, correlation analyses showed that changes in the gut microbiota were correlated with TDI exposure-induced airway inflammation. In conclusion, the present study suggests that the immune gut-lung axis may be involved in the development of TDI-induced asthma, which may have implications for potential interventions against steroid-resistant asthma. [Display omitted] • Exposure to TDI causes lung injury and gut microbiome dysbiosis. • Exposure to TDI decreases the expression of tight junction proteins in both gut and lung. • Exposure to TDI increases the activation of TLR4/NF-κB signaling in both gut and lung. • The immune gut-lung axis may be a critical factor in the development of TDI-induced lung injury. [ABSTRACT FROM AUTHOR]

Export is an important way to promote the innovation and growth of energy enterprises by learning new knowledge and technology. To explore the impact mechanism of energy enterprises' export behaviour on technological innovation, this article uses the micro data of 8,548 energy enterprises in the Chinese Industrial Enterprise Database from 2004 to 2007 for propensity score matching analysis, from the two dimensions of technological innovation willingness and technological innovation capability. The empirical results show that (a) the export behaviour of energy enterprises has a significant promotion effect on the technological innovation willingness and capability of energy enterprises; export behaviour has a continuous promotion effect on the technological innovation willingness of energy enterprises, and this promotion effect has gradually increased. There is a time lag in the promotion effect of export behaviour on the technological innovation capability of energy enterprises, and this promotion effect is gradually increasing. (b) Compared with non-state-owned energy enterprises, export behaviours have a more immediate effect on the technological innovation willingness of state-owned energy enterprises; compared with small and medium-sized energy enterprises, export behaviours have a more positive impact on the technological innovation willingness and capabilities of large energy enterprises. [ABSTRACT FROM AUTHOR]

Thumbtack Needling (TN) has been employed in the treatment of functional constipation (FC), although the existing evidence supporting its effectiveness is limited. This study is to evaluate the efficacy of TN in ameliorating FC. A total of 482 eligible patients were recruited and randomly assigned to the TN group or the Mosapride Citrate (MC) group. The TN was buried once for three days, rest for one day after two consecutive burials, followed by a 4-week follow-up. The primary outcome measure was the score for Complete and spontaneous bowel movement score (CSBMs). Secondary outcome measures included the Bristol Stool Form Scale (BSFS), Cleveland Clinic Score (CCS), and the Patient Assessment of Constipation Quality of Life Questionnaire (PAC-QOL). Out of the 482 patients randomized, 241 were allocated to each group. Of these, 216 patients (89.6 %) in both groups completed the intervention and follow-up. Compared with the baseline, the differences of CSBMs in TN group [1.76(95 % CI, 1.61 to 1.91)] and MC group [1.35(95 % CI, 1.20 to 1.50)] at week 4 meet the threshold for minimal clinically important difference (MCID). However, there were no clinical difference from baseline at week 2 and week 8 in both groups. Mean CSBMs at week 4 was 3.35 ± 0.99 in the TN group and 3 ± 1.03 in the MC group (adjusted difference between groups, 0.37 points [95 % CI, 0.18 to 0.55]; P < 0.001), although differences between the two groups did not meet the MCID threshold. Compared with mosapride citrate, thumbtack needling produced a greater improvement in CSBMs, although the difference from control was not clinically significant. ChiCTR2100043684 • TN is characterized by shorter needles, shallow needling, absence of needle sensation, and prolonged retention. • TN treatment would be superior to MC treatment in the management of patients with FC. • Anxiety and depression of patients with FC would alleviate with the improvement of constipation symptom. [ABSTRACT FROM AUTHOR]

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Social psychology is a comprehensive course which is an interdisciplinary of sociology and psychology. Most colleges and universities have currently taken social psychology as a general course to popularize psychological knowledge to students, which has great significance to cultivating their quality. Previous teaching did not combine this course with social needs, the optimization of students' psychological needs and enhancement of their abilities to solve problems, on the contrary, pure theoretical interpretation was the focus, resulting in students' lacking of proactivity. Therefore, a new teaching mode for improvement is urgent. Based on deep learning theory and comprehensively taking teaching environment, teaching resources and technical strategy support into consideration, and intelligence as the core, the paper has designed an intelligent teaching mode including intelligent preview, intelligent classroom, intelligent promotion and intelligent evaluation. Meanwhile, combined with courses of social psychology, video, audio and text teaching resources and multimedia courseware, multimedia resources were integrated, and problem discussion-based collaborative learning was adopted for teaching. To accurately evaluate the teaching effect under the intelligent teaching environment, guided by the appeal of intelligent teaching and based on analysis of accurate teaching objectives, the paper has established an accurate teaching evaluation index system, aiming at providing an idea for "How to evaluate the effect of accurate teaching in the intelligent teaching environment". At last, the paper has applied the new teaching mode into the practice of social psychology, finding that the new mode can stimulate students' proactivity, improve their performance, which is worth promotion. [ABSTRACT FROM AUTHOR]

Forestry work has long been weak in data integration; its initial state will inevitably affect the forestry project development and decision-quality. Knowledge Graph (KG) can provide better abilities to organize, manage, and understand forestry knowledge. Relation Extraction (RE) is a crucial task of KG construction and information retrieval. Previous researches on relation extraction have proved the performance of using the attention mechanism. However, these methods focused on the representation of the entire sentence and ignored the loss of information. The lack of analysis of words and syntactic features contributes to sentences, especially in Chinese relation extraction, resulting in poor performance. Based on the above observations, we proposed an end-to-end relation extraction method that used Bi-directional Gated Recurrent Unit (BiGRU) neural network and dual attention mechanism in forestry KG construction. The dual attention includes sentence-level and word-level, capturing relational semantic words and direction words. To enhance the performance, we used the pre-training model FastText to provide word vectors, and dynamically adjusted the word vectors according to the context. We used forestry entities and relationships to build forestry KG and used Neo4j to store forestry KG. Our method can achieve better results than previous public models in the SemEval-2010 Task 8 dataset. By training the model on forestry dataset, results showed that the accuracy and precision of FastText-BiGRU-Dual Attention exceeded 0.8, which outperformed the comparison methods, thus the experiment confirmed the validity and accuracy of our model. In the future, we plan to apply forestry KG to question and answer system and achieve a recommendations system for forestry knowledge. [ABSTRACT FROM AUTHOR]