نتائج البحث

1

دورية أكاديمية

pH/GSH dual-responsive nanoparticle for auto-amplified tumor therapy of breast cancer

المؤلفون: Shengnan Huang, Zhiling Xu, Weiwei Zhi, Yijing Li, Yurong Hu, Fengqin Zhao, Xiali Zhu, Mingsan Miao, Yongyan Jia

المصدر: Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-19 (2024)

مصطلحات موضوعية: Breast cancer, Auto-amplified tumor therapy, pH/GSH dual-responsive, GSH depletion, Reactive oxygen species, Biotechnology, TP248.13-248.65, Medical technology, R855-855.5

الوصف: Abstract Breast cancer remains a malignancy that poses a serious threat to human health worldwide. Chemotherapy is one of the most widely effective cancer treatments in clinical practice, but it has some drawbacks such as poor targeting, high toxicity, numerous side effects, and susceptibility to drug resistance. For auto-amplified tumor therapy, a nanoparticle designated GDTF is prepared by wrapping gambogic acid (GA)-loaded dendritic porous silica nanoparticles (DPSNs) with a tannic acid (TA)-Fe(III) coating layer. GDTF possesses the properties of near-infrared (NIR)-enhanced and pH/glutathione (GSH) dual-responsive drug release, photothermal conversion, GSH depletion and hydroxyl radical (·OH) production. When GDTF is exposed to NIR laser irradiation, it can effectively inhibit cell proliferation and tumor growth both in vitro and in vivo with limited toxicity. This may be due to the synergistic effect of enhanced tumor accumulation, and elevated reactive oxygen species (ROS) production, GSH depletion, and TrxR activity reduction. This study highlights the enormous potential of auto-amplified tumor therapy.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1477-3155Test

الوصول الحر: https://doaj.org/article/2f0d8e251b9f445f81723947a79fc5b7Test

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النص الكامل

2

دورية أكاديمية

In situ injectable hydrogel encapsulating Mn/NO-based immune nano-activator for prevention of postoperative tumor recurrence

المؤلفون: Shengnan Huang, Chenyang Zhou, Chengzhi Song, Xiali Zhu, Mingsan Miao, Chunming Li, Shaofeng Duan, Yurong Hu

المصدر: Asian Journal of Pharmaceutical Sciences, Vol 19, Iss 2, Pp 100901- (2024)

مصطلحات موضوعية: Post-surgical tumor recurrence, In situ hydrogel, Immunotherapy, Tumor microenvironment, Manganese (II), Nitric oxide, Therapeutics. Pharmacology, RM1-950

الوصف: Postoperative tumor recurrence remains a predominant cause of treatment failure. In this study, we developed an in situ injectable hydrogel, termed MPB-NO@DOX + ATRA gel, which was locally formed within the tumor resection cavity. The MPB-NO@DOX + ATRA gel was fabricated by mixing a thrombin solution, a fibrinogen solution containing all-trans retinoic acid (ATRA), and a Mn/NO-based immune nano-activator termed MPB-NO@DOX. ATRA promoted the differentiation of cancer stem cells, inhibited cancer cell migration, and affected the polarization of tumor-associated macrophages. The outer MnO2 shell disintegrated due to its reaction with glutathione and hydrogen peroxide in the cytoplasm to release Mn2+ and produce O2, resulting in the release of doxorubicin (DOX). The released DOX entered the nucleus and destroyed DNA, and the fragmented DNA cooperated with Mn2+ to activate the cGAS-STING pathway and stimulate an anti-tumor immune response. In addition, when MPB-NO@DOX was exposed to 808 nm laser irradiation, the Fe-NO bond was broken to release NO, which downregulated the expression of PD-L1 on the surface of tumor cells and reversed the immunosuppressive tumor microenvironment. In conclusion, the MPB-NO@DOX + ATRA gel exhibited excellent anti-tumor efficacy. The results of this study demonstrated the great potential of in situ injectable hydrogels in preventing postoperative tumor recurrence.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1818087624000187Test; https://doaj.org/toc/1818-0876Test

الوصول الحر: https://doaj.org/article/788e67343c3144cbbbdf0047b9b153dbTest

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النص الكامل

3

دورية أكاديمية

A Graph Convolutional Network Based on Sentiment Support for Aspect-Level Sentiment Analysis

المؤلفون: Ruiding Gao, Lei Jiang, Ziwei Zou, Yuan Li, Yurong Hu

المصدر: Applied Sciences, Vol 14, Iss 7, p 2738 (2024)

مصطلحات موضوعية: aspect-level sentiment analysis, graph convolutional network, attention mechanisms, sentiment support words, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

الوصف: Aspect-level sentiment analysis is a research focal point for natural language comprehension. An attention mechanism is a very important approach for aspect-level sentiment analysis, but it only fuses sentences from a semantic perspective and ignores grammatical information in the sentences. Graph convolutional networks (GCNs) are a better method for processing syntactic information; however, they still face problems in effectively combining semantic and syntactic information. This paper presents a sentiment-supported graph convolutional network (SSGCN). This SSGCN first obtains the semantic information of the text through aspect-aware attention and self-attention; then, a grammar mask matrix and a GCN are applied to preliminarily combine semantic information with grammatical information. Afterward, the processing of these information features is divided into three steps. To begin with, features related to the semantics and grammatical features of aspect words are extracted. The second step obtains the enhanced features of the semantic and grammatical information through sentiment support words. Finally, it concatenates the two features, thus enhancing the effectiveness of the attention mechanism formed from the combination of semantic and grammatical information. The experimental results show that compared with benchmark models, the SSGCN had an improved accuracy of 6.33–0.5%. In macro F1 evaluation, its improvement range was 11.68–0.5%.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2076-3417/14/7/2738Test; https://doaj.org/toc/2076-3417Test

الوصول الحر: https://doaj.org/article/610d57b3f02047b08dc27203396e96bcTest

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النص الكامل

4

دورية أكاديمية

Stimuli-Responsive Gold Nanocages for Cancer Diagnosis and Treatment

المؤلفون: Chunming Li, Tengyue Zhao, Lixian Li, Xiaogang Hu, Chao Li, Wanyi Chen, Yurong Hu

المصدر: Pharmaceutics, Vol 14, Iss 7, p 1321 (2022)

مصطلحات موضوعية: gold nanocages, stimuli-responsive, controlled release, cancer, diagnosis, treatment, Pharmacy and materia medica, RS1-441

الوصف: With advances in nanotechnology, various new drug delivery systems (DDSs) have emerged and played a key role in the diagnosis and treatment of cancers. Over the last two decades, gold nanocages (AuNCs) have been attracting considerable attention because of their outstanding properties. This review summarizes current advancements in endogenous, exogenous, and dual/multi-stimuli responsive AuNCs in drug delivery. This review focuses on the properties, clinical translation potential, and limitations of stimuli-responsive AuNCs for cancer diagnosis and treatment.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/1999-4923/14/7/1321Test; https://doaj.org/toc/1999-4923Test

الوصول الحر: https://doaj.org/article/f4ff533aa338435c90370934fafa52d9Test

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النص الكامل

5

دورية أكاديمية

Isolation and characterization of phosphofungi, and screening of their plant growth-promoting activities

المؤلفون: Xiaohui Wang, Changdong Wang, Junkang Sui, Zhaoyang Liu, Qian Li, Chao Ji, Xin Song, Yurong Hu, Changqian Wang, Rongbo Sa, Jiamiao Zhang, Jianfeng Du, Xunli Liu

المصدر: AMB Express, Vol 8, Iss 1, Pp 1-12 (2018)

مصطلحات موضوعية: Aspergillus niger, Growth-promoting ability, HPLC, Illumina MiSeq sequencing, Phosphofungi, Biotechnology, TP248.13-248.65, Microbiology, QR1-502

الوصف: Abstract Rhizospheric microorganisms can increase phosphorus availability in the soil. In this regard, the ability of phosphofungi to dissolve insoluble phosphorus compounds is greater than that of phosphate-solubilizing bacteria. The aim of the current study was to identify efficient phosphofungi that could be developed as commercial microbial agents. Among several phosphate-solubilizing fungal isolates screened, strain CS-1 showed the highest phosphorus-solubilization ability. Based on phylogenetic analysis of the internal transcribed spacer region sequence, it was identified as Aspergillus niger. High-performance liquid chromatography analysis revealed that the mechanism of phosphorus solubilization by CS-1 involved the synthesis and secretion of organic acids, mainly oxalic, tartaric, and citric acids. Furthermore, strain CS-1 exhibited other growth-promoting abilities, including efficient potassium release and degradation of crop straw cellulose. These properties help to returning crop residues to the soil, thereby increasing nutrient availability and sustaining organic matter concentration therein. A pot experiment revealed that CS-1 apparently increased the assessed biometric parameters of wheat seedlings, implying the potential of this strain to be developed as a commercial microbial agent. We used Illumina MiSeq sequencing to investigate the microbial community composition in the rhizosphere of uninoculated wheat plants and wheat plants inoculated with the CS-1 strain to obtain insight into the effect of the CS-1 strain inoculation. The data clearly demonstrated that CS-1 significantly reduced the content of pathogenic fungi, including Gibberella, Fusarium, Monographella, Bipolaris, and Volutella, which cause soil-borne diseases in various crops. Strain CS-1 may hence be developed into a microbial agent for plant growth improvement.

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s13568-018-0593-4Test; https://doaj.org/toc/2191-0855Test

الوصول الحر: https://doaj.org/article/9e1b4ba7a2334801891cbce04c76f971Test

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النص الكامل

6

دورية أكاديمية

EfficientShip: A Hybrid Deep Learning Framework for Ship Detection in the River.

المؤلفون: Huafeng Chen, Junxing Xue, Hanyun Wen, Yurong Hu, Yudong Zhang

المصدر: CMES-Computer Modeling in Engineering & Sciences; 2024, Vol. 138 Issue 1, p301-320, 20p

مصطلحات موضوعية: DEEP learning, DATA augmentation, SHIPS, PROBLEM solving

مستخلص: Optical image-based ship detection can ensure the safety of ships and promote the orderly management of ships in offshore waters. Current deep learning researches on optical image-based ship detection mainly focus on improving one-stage detectors for real-time ship detection but sacrifices the accuracy of detection. To solve this problem, we present a hybrid ship detection framework which is named EfficientShip in this paper. The core parts of the EfficientShip are DLA-backboned object location (DBOL) and CascadeRCNN-guided object classification (CROC). The DBOL is responsible for finding potential ship objects, and the CROC is used to categorize the potential ship objects. We also design a pixel-spatial-level data augmentation (PSDA) to reduce the risk of detection model overfitting. We compare the proposed EfficientShip with state-of-the-art (SOTA) literature on a ship detection dataset called Seaships. Experiments show our ship detection framework achieves a result of 99.63% (mAP) at 45 fps, which is much better than 8 SOTA approaches on detection accuracy and can also meet the requirements of real-time application scenarios. [ABSTRACT FROM AUTHOR]

: Copyright of CMES-Computer Modeling in Engineering & Sciences is the property of Tech Science Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

7

كتاب

’’揭穿假新聞’’教戰守則

المؤلفون: Bounegru, Liliana, Gray, Jonathan, Venturini, Tommaso, Mauri, Michele, Yurong, Hu

المصدر: Bounegru , L , Gray , J , Venturini , T , Mauri , M 2019 , ’’揭穿假新聞’’教戰守則 . translated by Hu Yurong . < https://fakenews.publicdatalab.orgTest/ >

مصطلحات موضوعية: data journalism

الوصف: 本書係荷蘭公共數據實驗室(Public Data Lab)與美國非營利組織初稿(First Draft)合作的結晶，對於假新聞如何傳播及辨識極有助益。目的在透過此一快速演變和高度爭議的議題，促進民眾討論以及催化集體研究，並投入與假新聞和其他虛構訊息流通有關的平台和政策、法律和基礎設施，以及技術和標準的重塑過程。

الإتاحة: https://kclpure.kcl.ac.uk/portal/en/publications/e8ca06a1-9090-4997-8008-bbf057fc1bd9Test
https://www.books.com.tw/products/0010812543Test
https://fakenews.publicdatalab.orgTest/

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