Abstract
In recent years, with the development of long-distance communication, the encryption method has become one of the crucial topics. Quantum communication, with the advantage of no-cloning ...theorem, is far more secure than traditional communication and could be a key method in encrypted communication. In this paper, we simulate the whole process of quantum encryption, we simulate the satellite-relayed quantum key distribution, the transmission of encrypted information, and the decoding of the received message, meanwhile using Hamming code error correction method to reduce the noise. During the simulation, we successfully realize the transmission of an encrypted picture and efficiently reduce the noise associated with it. In conclusion, our thesis shows that quantum communication could be an ideal method to realize encrypted communication. However, our thesis is only based on the simulation of the satellite-relayed quantum network and the channel noise still destroys some part of the decoded picture, thus more practical testing should be done to confirm this theory and some advanced methods should be used to reduce the channel noise.
Spinal cord injury (SCI), for which there currently is no cure, is a heavy burden on patient physiology and psychology. The microenvironment of the injured spinal cord is complicated. According to ...our previous work and the advancements in SCI research, ‘microenvironment imbalance’ is the main cause of the poor regeneration and recovery of SCI. Microenvironment imbalance is defined as an increase in inhibitory factors and decrease in promoting factors for tissues, cells and molecules at different times and spaces. There are imbalance of hemorrhage and ischemia, glial scar formation, demyelination and re-myelination at the tissue’s level. The cellular level imbalance involves an imbalance in the differentiation of endogenous stem cells and the transformation phenotypes of microglia and macrophages. The molecular level includes an imbalance of neurotrophic factors and their pro-peptides, cytokines, and chemokines. The imbalanced microenvironment of the spinal cord impairs regeneration and functional recovery. This review will aid in the understanding of the pathological processes involved in and the development of comprehensive treatments for SCI.
Strigolactones （SLs）, a group of carotenoid derived terpenoid lactones, are root-to-shoot phytohormones sup- pressing shoot branching by inhibiting the outgrowth of axillary buds. DWARF 53 （D53）, the ...key repressor of the SL signaling pathway, is speculated to regulate the downstream transcriptional network of the SL response. However, no downstream transcription factor targeted by D53 has yet been reported. Here we report that Ideal Plant Architecture 1 （IPA1）, a key regulator of the plant architecture in rice, functions as a direct downstream component of D53 in reg- ulating tiller number and SL-induced gene expression. We showed that D53 interacts with IPA1 in vivo and in vitro and suppresses the transcriptional activation activity of IPA1. We further showed that IPA1 could directly bind to the D53 promoter and plays a critical role in the feedback regulation of SL-induced D53 expression. These findings re- veal that IPA1 is likely one of the long-speculated transcription factors that act with D53 to mediate the SL-regulated tiller development in rice.
With the increasing popularity of intelligent surveillance systems, abnormal behavior detection of human beings based on computer vision is attracting more attention. It aims to classify and locate ...the abnormal behaviors and coordinates of human beings, respectively, and is a fundamental technology for intelligent security. Existing approaches mainly focus on exploring abnormal behavior features through object detectors. However, in office scenarios, almost all abnormal behaviors are closely associated with the fine-grained feature around the nose, wrist, elbow, and other human joint points regions. Detectors for generic objects cannot adequately capture such differences between abnormal behaviors, resulting in sub-optimal performance. In this paper, we focus on human joints and take one step further to enable effective behavior characteristics learning in office scenarios. In particular, we propose a novel Adaptive Joints Enhancement Network (AJENet), which includes two closely-related components, Joints Predict block (JP) and Adaptive Key Joints Enhancement block (AKJE). JP block is used to predict the human joints and facilitates the feature learning around them implicitly. By inputting the features around joints, the AKJE block enhances the feature representations of key joints according to the abnormal behavior characteristics adaptively. Experimental results demonstrate that our method outperforms other state-of-the-art methods on the collected real office scenario Office Behavior Dataset. Besides, to verify the generalization capabilities and potential of AJENet, we construct comparisons on another generic dataset PASCAL VOC 2012 Action.
Automated cell detection and localization from microscopy images are significant tasks in biomedical research and clinical practice. In this paper, we design a new cell detection and localization ...algorithm that combines deep convolutional neural network (CNN) and compressed sensing (CS) or sparse coding (SC) for end-to-end training. We also derive, for the first time, a backpropagation rule, which is applicable to train any algorithm that implements a sparse code recovery layer. The key innovation behind our algorithm is that the cell detection task is structured as a point object detection task in computer vision, where the cell centers (i.e., point objects) occupy only a tiny fraction of the total number of pixels in an image. Thus, we can apply compressed sensing (or equivalently SC) to compactly represent a variable number of cells in a projected space. Subsequently, CNN regresses this compressed vector from the input microscopy image. The SC/CS recovery algorithm (L 1 optimization) can then recover sparse cell locations from the output of CNN. We train this entire processing pipeline end-to-end and demonstrate that end-to-end training improves accuracy over a training paradigm that treats CNN and CS-recovery layers separately. We have validated our algorithm on five benchmark datasets with excellent results.
On July 4, 2021, China officially introduced the drug patent linkage system, which has made more localized adjustments than have similar systems in the US and South Korea. This study describes the ...characteristics and outcomes of China's patent linkage system.
For this study, we used the database of China's patent information registration platform for marketed drugs to capture all listed patents and patent certifications from June 25, 2021, to June 30, 2023. We used descriptive statistics for the above data to assess the impact of patent linkage on branded drug manufacturers, generic drug manufacturers, and the public's access to medicines.
During the study period, the patents of 632 branded drugs were listed, and 5058 ANDAs submitted patent certifications to the Registration Platform. Of these 632 branded drugs, 462 (73.1%) drugs were approved before the year of patent registration, and the average number of listed patents per drug was 1.8, with a standard deviation of 1.4. However, of these 5058 ANDAs, P1 certifications accounted for 85.1%, and P3 and P4 certifications accounted for 16% combined. In addition, according to the detailed statistics of P2 certifications, we found that the proportion of patent invalidation cases was 46.4%. The remaining validity of the patents corresponding to P3 certifications was longer, with a median value of 17 months, and the IQR was 10-30.75, ranging from - 2 to 204 months.
China's patent linkage aims to promote the balance of multiple interests -innovation, imitation and public health-and has its own system characteristics. Patent listing and patent certification are the key indicators reflecting the implementation effect of the system. From the perspective of system outcomes, ANDAs have been connected to the patent linkage system in an orderly manner, but the growth of patent challenges is not obvious. Moreover, manufacturers of foreign branded drugs that have not yet entered the Chinese market need to pay more attention to the role of patent listing.
Chemotherapy for non‐small cell lung cancer (NSCLC) is far from satisfactory, mainly due to poor targeting of antitumor drugs and self‐adaptations of the tumors. Angiogenesis, vasculogenic mimicry ...(VM) channels, migration, and invasion are the main ways for tumors to obtain nutrition. Herein, RPV‐modified epirubicin and dioscin co‐delivery liposomes were successfully prepared. These liposomes showed ideal physicochemical properties, enhanced tumor targeting and accumulation in tumor sites, and inhibited VM channel formation, tumor angiogenesis, migration and invasion. The liposomes also downregulated VM‐related and angiogenesis‐related proteins in vitro. Furthermore, when tested in vivo, the targeted co‐delivery liposomes increased selective accumulation of drugs in tumor sites and showed extended stability in blood circulation. In conclusion, RPV‐modified epirubicin and dioscin co‐delivery liposomes showed strong antitumor efficacy in vivo and could thus be considered a promising strategy for NSCLC treatment.
Targeted epirubicin and dioscin co‐delivery liposomes modified with RPV increased cellular uptake and accumulation in the A549 cells. The RPV‐modified epirubicin and dioscin co‐delivery liposomes enhanced anti‐tumor efficacy in vitro and in vivo. The RPV‐modified epirubicin and dioscin co‐delivery liposomes inhibited NSCLC migration and invasion by limiting tumor angiogenesis and vasculogenic mimicry formation.
Diabetic kidney disease is a renal microvascular disease caused by diabetes, known as one of the most serious and lethal complications of diabetes. Early renal hypertrophy is the main pathological ...feature, which gradually leads to the deposition of glomerular extracellular matrix and tubulointerstitial fibrosis, eventually developing irreversible structural damage to the kidneys. Autophagy is a cell self-homeostatic mechanism that is activated under stress conditions and may serve as a protective response to the survival of renal fibrogenic cells. MicroRNA (miRNA) network may be involved in the regulation of fibrosis. The purpose of this study is to assess how miRNAs regulate diabetic kidney disease and autophagy and fibrosis in renal proximal tubular cells under high glucose conditions.
Human renal proximal tubular (HK-2) cells were exposed to high glucose in vitro. Bioinformatic analysis was used to select the candidate gene for potential target regulation of miR-155, Sirt1. ATG5, ATG7 is the key to autophagosome formation, regulated by Sirt1. p53 regulates miR-155 expression as a transcription factor. MiR-155 overexpression and inhibition were achieved by transfection of miR-155 mimic and inhibit to evaluate its effect on Sirt1 and autophagy and fibrosis markers. Dual luciferase reporter assays were used to confirm the direct interaction of Sirt1 with miR-155. Overexpression and inhibition of Sirt1 gene were achieved by transfection of Sirt1 plasmid and Sirt1 si to observe its effect on P53. Chip assay experiments confirmed the direct regulation of P53 on miR-155.
Under high glucose conditions, miR-155 was detected in HK-2 cells in concentration gradient, increased expression of p53 and down-regulated expression of sirt1 and autophagy-associated proteins LC3II, ATG5 and ATG7. Dual luciferase reporter assays indicate that miR-155 can target its binding to the Sirt1 3'UTR region to reduce its expression. Under high glucose conditions, over expression of miR-155 decreased the expression of LC3-II and ATG5 in HK-2 cells, while inhibition of miR-155 reversed this effect. Using chip assay testing in HK-2 cells, we demonstrated that p53 binds directly to miR-155.
The signaling axis of p53, miR-155-5p, and sirt1 in autophagic process might be a critical adapting mechanism for diabetic kidney injury.
To investigate the implications of prophylactic intraoperative Hyperthermic Intraperitoneal Chemotherapy (HIPEC) with D2 radical gastrectomy for locally advanced Gastric Cancer (AGC) in a randomized ...case control study.
Eighty consecutive patients with locally AGC were randomly separated into 2 groups: HIPEC group (Curative Resection + intraoperative HIPEC with cisplatin 50 mg/m
at 42.0 ± 1.0 °C for 60 min) and Control group (Curative Resection only). Intraoperative and post-operative events, clinical recovery, morbidity and the disease-free survival (DFS) rates were closely monitored.
Among the 40 HIPEC group patients, the highest intracranial temperature recorded during the procedure was 38.2 °C but the patient made an eventless recovery. Mild renal dysfunction, hyperbilirubinemia and mild liver dysfunction were recorded in the HIPEC group but their incidences were found to be statistically insignificant when compared with the control group (P > 0.05). The initial post-operative analysis revealed shorter post-operative stay for in the HIPEC group but further analysis revealed that it was related to the incidence of postoperative complication. During a median follow-up time of 41 months, there were 9/39 and 15/38 cases of disease progression in HIPEC and Control groups respectively, with a more favorable 3-year DFS (76.9% vs 60.5%) and a lower peritoneal recurrence rate (5% vs 30%) in the HIPEC group.
Prophylactic HIPEC with radical D2 Gastrectomy is safe and shows favorable survival and peritoneal recurrence rates for AGC with acceptable morbidity. Nevertheless, more structured multi-centered RCT should be carried out for more substantial evidence.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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