Effect of ulinastatin on growth inhibition, apoptosis of breast carcinoma cells is related to a decrease in signal conduction of JNk-2 and NF-κB

<p>Abstract</p> <p>Objective</p> <p>This study aims to investigate the <it>in vitro </it>effects of Ulinastatin (UTI) and Taxotere (TXT) on cell proliferation; cell apoptosis; xenografted tumor growth; and expression of insulin-like growth factor receptor 1 (IGF-1R), platelet-derived growth factor A (PDGFA), nerve growth factor (NGF), c-Jun N-terminal kinase 2 (JNk-2), and NF-κB in a human primary breast cancer cells and breast cancer cell line MDA-MB-231.</p> <p>Methods</p> <p>The cell lines cultured were divided into four groups: 1) control group, 2) UTI group, 3) TXT group, and 4) UTI+TXT group. The method of MTT essay, flow cytometry, and RT-PCR were used to detect cell proliferation, cell apoptosis, and expression of IGF-1R, PDGFA, NGF, NF-κB, JNk-2, respectively. The growth of xenografted tumor in nude mice was used to calculate the anti-tumor rate. Immunohistochemistry staining (SP) was used to detect the expression of IGF-1R, PDGFA, NGF, ki-67, caspase-3, JNk-2, and NF-κB.</p> <p>Results</p> <p>Proliferation of human breast cancer cells and MDA-MB-231 cell lines, and growth rate of xenografted tumor decreased in order of UTI+TXT > TXT > UTI > control, apoptosis increased in the order control < UTI < TXT < UTI+TXT. The gene expression and protein expression of IGF-1R, PDGFA, NGF, NF-κB and JNk-2 in breast cancer cells was inhibited by UTI and TXT.</p> <p>Conclusions</p> <p>UTI 1) inhibits the proliferation of human breast cancer cells and the growth of xenografted tumors, 2) induces cancer cell apoptosis, and 3) enhances the anti-tumor effect of TXT. This mechanism might be related to decreasing signal transduction of JNk-2 and NF-κB, and then expression of IGF-1R, PDGFA, NGF.</p

The Improvement of Chord Protocol about Structured P2P System

Chord protocol is one of the most classical protocols in structured P2P system, with the good effect, reliability, high query efficiency, and many other advantages. However, Chord agreement remains two main shortcomings the one that the searching speed of resources is slower, and the other that the detention of routing is higher. This paper in view of these shortcomings, combination with modification, then put forward the new Chord structure that super nodes and common nodes coexist, super nodes management general nodes. The new structure using Zipf-law determines the proportion of super nodes and ordinary nodes. The last, the new structure is simulated by simulation software, and the improved Chord protocol make better the previous shortcoming through the new structure compares with the Chord protocol

Efficient Content Location Using Semantic Small World in Peer-to-Peer Networks

        Locating content in unstructured peer-to-peer networks is a challenging problem. This paper presents a novel semantic small world resource search mechanism to address the problem. By using vector space model to compute the semantic relevance and applying small world properties such as low average hop distance and high clustering coefficient to construct a cluster overlay. In semantic small world system, the search mechanism is divided into two parts, searching at cluster and outside cluster through inner link and short link, so that it can achieve the incremental research. It significantly reduces the average path length and query cost. Meanwhile, the simulation results show that semantic small world scheme outperforms K-random walks and flooding scheme than higher query hit rate and lower query latency

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

In an effort to further advance semi-supervised generative and classification tasks, we propose a simple yet effective training strategy called dual pseudo training (DPT), built upon strong semi-supervised learners and diffusion models. DPT operates in three stages: training a classifier on partially labeled data to predict pseudo-labels; training a conditional generative model using these pseudo-labels to generate pseudo images; and retraining the classifier with a mix of real and pseudo images. Empirically, DPT consistently achieves SOTA performance of semi-supervised generation and classification across various settings. In particular, with one or two labels per class, DPT achieves a Fr\'echet Inception Distance (FID) score of 3.08 or 2.52 on ImageNet 256x256. Besides, DPT outperforms competitive semi-supervised baselines substantially on ImageNet classification tasks, achieving top-1 accuracies of 59.0 (+2.8), 69.5 (+3.0), and 74.4 (+2.0) with one, two, or five labels per class, respectively. Notably, our results demonstrate that diffusion can generate realistic images with only a few labels (e.g., <0.1%) and generative augmentation remains viable for semi-supervised classification. Our code is available at https://github.com/ML-GSAI/DPT.Comment: Accepted to NeurIPS 202

Ecotourism, past, current and future perspectives : a bibliometric review between 2001 to 2018

Abstract: Ecotourism is natural based travel that conserves the environment, sustains the well-being of the local communities, and involves environmental interpretation and education. A number of literature reviews have been published focusing on specific aspects of the ecotourism market segmentation, ecological impacts of wildlife viewing, and community-based ecotourism, but there has been minimal attention to critical areas such as quality control, the industry, external environments or institutions. In order to further promote related studies, it is important to conduct a comprehensive review on ecotourism so that recent research progresses can be summarized and future research directions can be identified. Accordungly, this paper aims to conduct a bibliometric review on ecotourism to glean the past, current and future perspectives on ecotourism. Based on 1,889 articles published from 2001 to 2018 and searched from Web of Science, a systematic method combining bibliometric analysis and network analysis is applied to uncover the dynamic trends, academic collaboration and research hotspots. Results show that the overall publication quantity had been gradually improved. The key journals include Journal of Hospitality and Tourism Management, Annals of Tourism Research, Conservation Biology and Biological Conservation. Authors from USA have the most publications and international co-authorships, followed by Australia and England, while the most influential institution is the Chinese Academy of Science followed by Griffith University. Moreover, research keywords have been identified, including ecotourism, management, biodiversity, national park, sustainability and sustainable tourism. In order to further improve research in this field, it is crucial to combine different methods so that more innovative perspectives can be presented. Research findings from this study will provide limitations, and suggestions for future research

Non-coding RNAs participate in the regulatory network of CLDN4 via ceRNA mediated miRNA evasion

AbstractThousands of genes have been well demonstrated to play important roles in cancer progression. As genes do not function in isolation, they can be grouped into “networks” based on their interactions. In this study, we discover a network regulating Claudin-4 in gastric cancer. We observe that Claudin-4 is up-regulated in gastric cancer and is associated with poor prognosis. Claudin-4 reinforce proliferation, invasion, and EMT in AGS, HGC-27, and SGC-7901 cells, which could be reversed by miR-596 and miR-3620-3p. In addition, lncRNA-KRTAP5-AS1 and lncRNA-TUBB2A could act as competing endogenous RNAs to affect the function of Claudin-4. Our results suggest that non-coding RNAs play important roles in the regulatory network of Claudin-4. As such, non-coding RNAs should be considered as potential biomarkers and therapeutic targets against gastric cancer.</jats:p

Model Pembelajaran Asam Basa Berbasis Scs (Science Process Skills) Melalui Kegiatan Laboratorium Sebagai Wahana Pendidikan Sains Siswa Mts

Tujuan penelitian ini adalah untuk memperkenal- kan dan mengetahui efektivitas Model Pembelajaran SCS ( Science Process Skills ) melalui kegiatan Laboratorium Sebagai Wahana Pendidikan Sains yang cocok bagi siswa MTs agar meningkatkan: penguasaan konsep kimia, ke- mampuan berpikir kreatif, dan keterampilan sains siswa. Metode yang digunakan adalah metode penelitian kelas, dan difokuskan pada pokok bahasan asam basa. Penelitian ini dilakukan di salah satu MTs Negeri di kota Semarang dengan subyek sebanyak 40 siswa kelas III. Instrumen yang digunakan dalam penelitian ini meliputi model pembelaja- ran, soal-soal tes, pedoman wawancara, pedoman obser- vasi dan angket, sedang LKS digunakan pada saat kegiatan laboratorium. Dalam model pembelajaran dikembangkan empat jenis konsep yaitu konsep kongkret, konsep yang menyatakan sifat, konsep yang melibatkan penggambaran simbol, dan konsep berdasarkan prinsip. Model pembela- jaran ini dapat meningkatkan pemahaman konsep pada setiap kelompok kemampuan siswa, mengembangkan ke- mampuan berpikir kreatif dengan hasil tertinggi pada as- pek membangun konsep di atas pengetahuan yang telah ada pada diri siswa dan terendah pada aspek memilih hal- hal yang mungkin tidak relevan, serta keterampilan sains mengatasi kurangnya waktu pembelajaran, bagian-bagian pembelajaran tertentu dapat dilaksanakan di luar jam ke- las