Search

Leptoglossus occidentalis was first detected in Turkey in 2009. The pest’s damage to stone pine trees and its effects on seeds cause economic losses. In recent years, observations and predictions show that there is a significant threat not only to stone pine but also to other coniferous forests throughout country. In this study, pesticides were applied by trunk injection method in the experiment areas taken in stone pine stands of Bergama – Kozak region. In the systemic application carried out in 2020 and 2021, the Arborjet system was used and the insecticide with the active ingredient Azadirachtin (0.3 g/Lt) was used as an organic insecticide, as well as pesticide with the active ingredient Imidacloprid (200 g/Lt). In 2020, the highest seed filling rate was achieved after systemic Imidacloprid insecticide application with the Arborjet system. As a result of this application, the full seed rate reached 70.7% in Asagicuma, while this rate was 63.6% in the Karaveliler. The seed occupancy rate obtained from control trees in the Asagicuma was 37.96% and this rate reached 70.7% after systemic Imidacloprid application in the same field. Similarly, in the studies carried out in Asagicuma and Yukaribey experiment sites in 2021, only 35% of the seeds were filled in the cones taken from control trees, while the occupancy rate in the cones without insecticide application in the Yukaribey was determined to be 32.76%. In both trial sites, the highest seed fill rate was achieved after systemic Imidacloprid insecticide application with the Arborjet system. As a result of this application, the filled seed rate reached 67.89% in the Asagicuma and 69.86% in Yukaribey experiment sites. [ABSTRACT FROM AUTHOR]

Abstract As a critical component of the tumour immune microenvironment (TIME), the resident microbiota promotes tumorigenesis across a variety of cancer types. Here, we integrated multiple types of omics data, including microbiome, transcriptome, and metabolome data, to investigate the functional role of intratumoral bacteria in gastric cancer (GC). The microbiome was used to categorize GC samples into six subtypes, and patients with a high abundance of Streptococcus or Pseudomonas had a markedly worse prognosis. Further assays revealed that Streptococcus anginosus (SA) promoted tumour cell proliferation and metastasis while suppressing the differentiation and infiltration of CD8+ T cells. However, antibiotic treatment significantly suppressed tumorigenesis in SA+ mice in vivo. We further demonstrated that the SA arginine pathway increased the abundance of ornithine, which may be a major contributor to reshaping of the TIME. Our findings demonstrated that SA, a novel risk factor, plays significant roles in the initiation and progression of GC, suggesting that SA might be a promising target for the diagnosis and treatment of GC.

Abstract Background Heart failure (HF) and cancer share common risk factors and pathophysiological mechanisms, including fibrosis. Identifying biomarkers and therapeutic targets for both conditions is crucial. Materials and methods RNA sequencing data from HF patients were analyzed to identify 12 genes associated with myocardial fibrosis. Validation was performed using public datasets, and functional enrichment analyses were conducted. Gene expression patterns and prognostic value in various cancers were assessed. Results Fibromodulin (FMOD), Periostin (POSTN), Latent Transforming Growth Factor Beta Binding Protein 2 (LTBP2), Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type VIII Alpha 1 Chain (COL8A1), Asporin (ASPN), and Hemoglobin Subunit Beta (HBB) showed significant dysregulation in heart failure tissues and were implicated in multiple cancer types. Pan-cancer analysis revealed associations between these genes and prognosis. Correlations with cancer-associated fibroblasts were also observed. Conclusion FMOD, POSTN, LTBP2, COL1A1, COL8A1, ASPN, and HBB are potential biomarkers for HF and cancer with fibrotic microenvironments. Targeting fibrosis may offer novel therapeutic approaches. Further validation and mechanistic studies are needed. This study contributes to understanding HF and cancer at the molecular level and suggests personalized treatment strategies.

Abstract To study the effect of different sizes and speeds of coal gangue falling on hydraulic supports for top‐coal caving discharge hydraulic support on the bearing characteristics of the hydraulic support, the ADAMS hydraulic support rigid‐flexible coupling analysis model was established. HyperMesh is used to flexibly process the hydraulic support, and the column and jack are equivalently replaced by spring damping system. By applying step loads of different sizes and speeds to simulate the impact force generated when the coal gangue falls on different positions of the cover beam, the dynamic response characteristics of the column, balance jack and other articulation points are obtained. Analyses show that: when the impact load is closer to the roof beam, the articulation point of the roof beam‐cover beam and the balancing jack are easy to be damaged. When the same impact load is applied to the cover beam, the faster the load is applied, the hydraulic support column and balancing jack may not be able to absorb and disperse the pressure effectively in time, resulting in the articulation points being subjected to a larger impact force, which is easy to cause damage or destruction. When different sizes and speeds of impact loads are applied to the cover beam, the latter has a greater impact on the dynamic response of the front and rear connecting rod articulation points and the cover beam‐roof beam articulation point than the former, and the hydraulic bracket will be more prone to vibration, deformation, and stress concentration, thus affecting the stability and safety of the bracket. The article is of guiding significance for designing and optimizing the structure and parameters of the hydraulic support, and improving the support performance and stability of the hydraulic support in the comprehensive release working face.

Abstract Fibronectin type III domain-containing (FNDC) proteins play critical roles in cellular homeostasis and cardiac injury, and our recent findings define FNDC5 as a promising cardioprotectant against doxorubicin- and aging-related cardiac injury. FNDC4 displays a high homology with FNDC5; however, its role and mechanism in cardiac ischemia/reperfusion (I/R) injury remain elusive. Here, we show that cardiac and plasma FNDC4 levels are elevated during I/R injury in a hypoxia-inducible factor 1α (HIF1α)-dependent manner. Cardiac-specific FNDC4 overexpression facilitates, while cardiac-specific FNDC4 knockdown inhibits cardiomyocyte survival and angiogenesis in I/R-stressed hearts of male mice through regulating the proteasomal degradation of HIF1α. Interestingly, FNDC4 does not directly stimulate angiogenesis of endothelial cells, but increases the expression and secretion of fibroblast growth factor 1 from cardiomyocytes to enhance angiogenesis in a paracrine manner. Moreover, therapeutic administration of recombinant FNDC4 protein is sufficient to alleviate cardiac I/R injury in male mice, without resulting in significant side effects. In this work, we reveal that FNDC4 alleviates cardiac I/R injury through facilitating HIF1α-dependent cardiomyocyte survival and angiogenesis, and define FNDC4 as a promising predictive and therapeutic target of cardiac I/R injury.

Abstract High-throughput screening techniques are pivotal to unlocking the mysteries of biology. Yet, the promise of droplet microfluidics in enabling single-cell resolution, ultra-high-throughput screening remains largely unfulfilled. Droplet sorting errors caused by polydisperse droplet sizes that are often inevitable in multi-step assays have severely limited the effectiveness and utility of this technique, especially when screening large libraries. Even a relatively low 1% sorting error results in 10,000 false calls in a 1,000,000 droplet screen, imposing an unreasonably large burden on downstream validation. Here, we present NOVAsort (Next-generation Opto-Volume-based Accurate droplet sorter), a device capable of discerning droplets based on both size and fluorescence intensity. With a 1000- and 10,000-fold reduction in false positives and false negatives, respectively. NOVAsort addresses the challenges of conventional droplet sorting approaches and sets standards for accuracy and throughput in droplet microfluidic assays.

Abstract Crystalline-silicon heterojunction back contact solar cells represent the forefront of photovoltaic technology, but encounter significant challenges in managing charge carrier recombination and transport to achieve high efficiency. In this study, we produced highly efficient heterojunction back contact solar cells with a certified efficiency of 27.09% using a laser patterning technique. Our findings indicate that recombination losses primarily arise from the hole-selective contact region and polarity boundaries. We propose solutions to these issues and establish a clear relationship between contact resistivity, series resistance, and the design of the rear-side pattern. Furthermore, we demonstrate that the wafer edge becomes the main channel for current density loss caused by carrier recombination once electrical shading around the electron-selective contact region is mitigated. With the advanced nanocrystalline passivating contact, wafer edge passivation technologies and meticulous optimization of front anti-reflection coating and rear reflector, achieving efficiencies as high as 27.7% is feasible.

Gastric cancer (GC) ranks fifth in cancer incidence and fourth in cancer-related mortality worldwide. Reactive oxygen species (ROS) are highly oxidative oxygen-derived products that have crucial roles in cell signaling regulation and maintaining internal balance. ROS are closely associated with the occurrence, development, and treatment of GC. This review summarizes recent findings on the sources of ROS and the bidirectional regulatory effects on GC and discusses various treatment modalities for GC that are related to ROS induction. In addition, the regulation of ROS by natural small molecule compounds with the highest potential for development and applications in anti-GC research is summarized. The aim of the review is to accelerate the clinical application of modulating ROS levels as a therapeutic strategy for GC.

Abstract Younger premenopausal women are more prone to developing ovarian metastases (OM) of gastric cancer (GC) than metastases of other organs; however, the molecular mechanisms remain unclear. Here we perform single-cell RNA sequencing on 45 tumor samples from 18 GC patients with OM. Interestingly, fibroblasts in OM of GC express high levels of estrogen receptor (ER) and midkine (MDK), interacting with tumor cells through activating ER-MDK-LRP1 (low-density lipoprotein receptor-related protein 1) signaling axis. Functional experiments demonstrate that estrogen stimulation induces MDK secretion by ovarian fibroblasts, and binding of MDK to LRP1 increases GC cell migration and invasion. Furthermore, in vivo, estrogen stimulation remarkably augments ovarian engraftment and metastasis of LRP1+ GC cells. Collectively, our findings reveal that ER+ ovarian fibroblasts secrete MDK under estrogen influence, driving OM of GC via the MDK-LRP1 axis. Our study holds the potential to catalyze innovative therapeutic strategies aimed at intercepting and managing OM in GC.

Purpose – Since 2015, China has made efforts to reform its intellectual property rights (IPR) system to better protect and stimulate innovation. These reforms are a result of the demand for more stringent intellectual property (IP) protection from China’s domestic, innovative industries and a measure to ease the pressure exerted by its foreign trading partners, particularly against the background of the US-China trade dispute that started at the beginning of 2018. This paper summarizes these reforms and their implications. Design/methodology/approach – This paper combines a variety of sources, including academic articles, government websites, news reports, industry surveys and expert opinions, to offer insights in China’s IPR system and its recent reforms. Findings – This paper summarizes and discusses (1) the state’s law amendments, including the 2015 amendment of the “Law on Promoting the Transformation of Scientific and Technological Achievements”, the second amendment of the “Anti-Unfair Competition Law” with regard to trade secret protection, the fourth amendment of the “Patent Law”, and the legislations and regulations addressing the criticisms of the US administration over China’s so-called “forced” technology transfer policies; (2) the establishment of the specialized IP courts and tribunals since 2014; (3) the restructuring of the State IP Office; and (4) the issuing of an “Outline for Building an IPR Powerhouse (2021–2035)”. Originality/value – This paper highlights China’s efforts to make its IPR system stronger and more just. It also discusses international observers’ reactions and pinpoints specific areas for further improvement.

Abstract The safe operation of oil‐immersed transformers is critical to the safety and stability of the power grid. As the operating time increases, the failure rate of oil‐immersed transformers shows an increasing trend, posing serious challenges to safe operation. It is necessary to investigate the internal state of the oil‐immersed transformer to improve the digital degree and achieve digitalisation and intelligent operation and maintenance. A physics‐informed neural network (PINN) for oil‐immersed transformers was introduced to reconstruct the temperature distribution inside the transformer. According to the approach, the loss function of the network would be optimised by incorporating physical constraint loss terms including heat transfer equations, initial conditions and boundary conditions. The results show that the method proposed can be used to reconstruct and predict the temperature field of transformers in a few seconds with satisfactory accuracy. In conclusion, the PINN proposed outperforms deep neural networks in terms of accuracy, reliability and interpretability, especially in data‐poor cases.

Abstract Modern human society is burdened with the pandemic of cardiovascular and metabolic diseases. Metrnl is a widely distributed secreted protein in the body, involved in regulating glucose and lipid metabolism and maintaining cardiovascular system homeostasis. In this review, we present the predictive and therapeutic roles of Metrnl in various cardiovascular and metabolic diseases, including atherosclerosis, ischemic heart disease, cardiac remodeling, heart failure, hypertension, chemotherapy-induced myocardial injury, diabetes mellitus, and obesity.

MicroRNAs (miRNAs) have been demonstrated to control chicken skeletal muscle growth, however, the potential function of the miR-181-5p family in chicken myogenesis remains largely unknown. Here, our study identified the two chicken (Gallus gallus; Gga) miR-181-5p family members widely expressed in various tissues, specifically miR-181a-5p and miR-181b-5p. Besides, the breast muscles of fast-growing broilers expressed higher levels of miR-181a-5p and miR-181b-5p than those of slow-growing layers. Functionally, miR-181a-5p and miR-181b-5p both promote the expression level of myogenic factors including myogenin (MyoG), myogenic differentiation 1 (MyoD1), and myosin heavy chain (MyHC), meanwhile accelerating the myotube formation of skeletal muscle satellite cells (SMSCs). Mechanistically, miR-181a-5p and miR-181b-5p directly bind to the 3´ untranslated region (UTR) of the transforming growth factor beta receptor 1 (TGFBR1) mRNA, further reducing the expression of TGFBR1. TGFBR1 is a key Transforming growth factor beta (TGF-β) signaling transduction receptor and had a negative function in muscle cell differentiation. Furthermore, knockdown of TGFBR1 facilitated the expression of chicken myogenic factors, boosted myotube formation, and decreased the SMAD family member 2/3 (SMAD2/3) phosphorylation in chicken SMSCs. SMAD2/3 are downstream of TGF-β signaling, and miR-181a-5p and miR-181b-5p could reduce the expression of TGFBR1 to further diminish the SMAD2/3 phosphorylation. Our findings revealed that the miR-181-5p family targets TGFBR1 to break the TGF-β signaling transduction, which resulted in promoting chicken skeletal muscle development.

Purpose: Under-foot impact loadings can cause serious lower limb injuries in many activities, such as automobile collisions and underbody explosions to military vehicles. The present study aims to compare the biomechanical responses of the mainstream vehicle occupant dummies with the human body lower limb model and analyze their robustness and applicability for assessing lower limb injury risk in under-foot impact loading environments. Methods: The Hybrid III model, the test device for human occupant restraint (THOR) model, and a hybrid human body model with the human active lower limb model were adopted for under-foot impact analysis regarding different impact velocities and initial lower limb postures. Results: The results show that the 2 dummy models have larger peak tibial axial force and higher sensitivity to the impact velocities and initial postures than the human lower limb model. In particular, the Hybrid III dummy model presented extremely larger peak tibial axial forces than the human lower limb model. In the case of minimal difference in tibial axial force, Hybrid III's tibial axial force (7.5 KN) is still 312.5% that of human active lower limb's (2.4 KN). Even with closer peak tibial axial force values, the biomechanical response curve shapes of the THOR model show significant differences from the human lower limb model. Conclusion: Based on the present results, the Hybrid III dummy cannot be used to evaluate the lower limb injury risk in under-foot loading environments. In contrast, potential improvement in ankle biofidelity and related soft tissues of the THOR dummy can be implemented in the future for better applicability.

ObjectivePrevious research has established a connection between Type 2 Diabetes Mellitus (T2DM), glycemic traits, dietary habits, and the risk of Pressure Ulcers (PUs). The aim of our study is to disentangle any potential causal relationship between T2DM, glycemic traits, and dietary factors, and the risk of PUs.MethodsThe exposure and outcome datasets were sourced from the IEU Open GWAS project, the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC), and the FinnGen biobank, respectively. The primary MR analysis method employed was the inverse variance-weighted method. Furthermore, we employed multivariable MR (MVMR) adjusting for BMI. Then, we investigated the possibility of a reverse association between glycemic traits and PUs through bidirectional MR. Finally, Heterogeneity and pleiotropic analysis were conducted to ensure the accuracy and robustness of the results.ResultsThe findings revealed that T2DM (OR = 1.282, 95% CI: 1.138–1.445, p

As the global population ages,the number of elderly people with papillary thyroid microcarcinoma(PTMC) is steadily rising.The selection of a treatment plan has a direct impact on the prognosis and quality of life.A correct evaluation of lymph node metastasis before surgery is the crucial aspect that influences treatment decisions and prognosis.Currently,ultrasonography is mostly used for assessing the health of lymph nodes in clinical settings,however,its precision is limited.Hence,it is crucial to examine the lymph node metastatic pattern in older individuals with PTMC.This article examines the characteristics that increase the likelihood of lymph node metastasis in individuals with PTMC.The goal is to provide a clinical foundation for treating older people with PTMC.

Abstract Cone-beam computed tomography (CBCT) is a crucial component of adaptive radiation therapy; however, it frequently encounters challenges such as artifacts and noise, significantly constraining its clinical utility. While CycleGAN is a widely employed method for CT image synthesis, it has notable limitations regarding the inadequate capture of global features. To tackle these challenges, we introduce a refined unsupervised learning model called improved vision transformer CycleGAN (IViT-CycleGAN). Firstly, we integrate a U-net framework that builds upon ViT. Next, we augment the feed-forward neural network by incorporating deep convolutional networks. Lastly, we enhance the stability of the model training process by introducing gradient penalty and integrating an additional loss term into the generator loss. The experiment demonstrates from multiple perspectives that our model-generated synthesizing CT(sCT) has significant advantages compared to other unsupervised learning models, thereby validating the clinical applicability and robustness of our model. In future clinical practice, our model has the potential to assist clinical practitioners in formulating precise radiotherapy plans.