The Impact of Social Culture Environment for Modern Science Development: Based on the Understanding of Merton's Dissertation

In the ages of Big Science and under the situation of advocating an innovative society, it’s very significant to re-read the Merton’s Dissertation named ″Science, Technology and Society in the 17th Century England″ and explore fascination of thought and modern value in the classics which was recognized as a work of sociology of science. Along the thinking logic of Merton’s text, we make the history of reduction and in-depth analysis of the England social culture environment in 17th century from three aspects of politics, economy and culture. And with this a base point, some important influences of Social Culture Environment to the rise and development of Modern Science are fully discussed from three perspectives which are the driving force of modern science, the turn of scientific research fields and its interaction mechanism

Methanesulfonate in the firn of King George Island, Antarctica

Methanesulfonate was investigated as a potential contributor to the sulfur budget, based on analysis of a firn core from Collins Ice Cap, King George Island, Antarctica (62°10′ S, 58°50′ W). The anion was found to be present at a mean concentration of 0.17 μeq L−1, with a maximum of 0.73 μeq L−1. Dating based on the δ 18O profile suggests that the principal peaks of methanesulfonate are associated with snow deposited in summer and autumn. A careful examination of MSA, SO4 2− and nssSO4 2− profiles indicates that two of the three peaks in the MSA profile may result mainly from migration and relocation of MSA. The mechanism responsible for this might be similar to that for deep cores from other Antarctic glaciers, supporting the migration hypothesis proposed by prior researchers and extending it to near-temperate ice. Due to the post-depositional modification, the main part of the MSA profile of the firn is no longer indicative of the seasonal pattern of MSA in the atmosphere, and the basis for calculation of the MSA/nssSO4 2− ratio should be changed. The MSA/nssS04 2 ratio obtained by a new computation is 0.22, 10% higher than that ignoring the effect of MSA migration

Methods and Compositions for the Inhibition of Meristematic Growth on Cucurbit Rootstock

The invention provides methods of inhibiting the growth of a shoot apical meristem of a cucurbit rootstock plant, comprising contacting a shoot apical meristem of the cucurbit rootstock plant with an effective amount of a composition comprising one or more fatty alcohols, thereby inhibiting the growth of the shoot apical meristem of the cucurbit rootstock plant. The present invention further provides methods for preparing and producing cucurbit rootstock plants for grafting and methods for grafting. Additionally provided are cucurbit rootstock plants and plant parts and grafted cucurbit plants produced by the methods of the invention

The Path of Constructing the Localization of Environmental Ethics in China

Environmental ethics have the dual nature of moral philosophy and applied ethics, therefore, it can be with the cornerstone of metaphysical paradigms, but also attached the importance to the goal orientation for the practical efficiency. As a cultural and historical category, environmental ethics internally define “regional” and non-universal ethical theory as its core. In addition, thought of parting between subject and object reinforced the antagonistic relations between human beings and nature in traditional western philosophy. Thus, the above two aspects lead to environmental ethics development predicament of theory and reality in China. Therefore, in order to solve the problem of modern China’s severe environment and get rid of the survival crisis, environmental ethics should create paradigm on the ontology, sublet integrative thinking in Chinese ancient philosophy in terms of epistemology, take the way to sanitize Marxist Philosophy on the methodology as lessons. Finally we will realize the localization of Chinese environmental ethics in the future

Referring Multi-Object Tracking

Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMOT). Its core idea is to employ a language expression as a semantic cue to guide the prediction of multi-object tracking. To the best of our knowledge, it is the first work to achieve an arbitrary number of referent object predictions in videos. To push forward RMOT, we construct one benchmark with scalable expressions based on KITTI, named Refer-KITTI. Specifically, it provides 18 videos with 818 expressions, and each expression in a video is annotated with an average of 10.7 objects. Further, we develop a transformer-based architecture TransRMOT to tackle the new task in an online manner, which achieves impressive detection performance and outperforms other counterparts. The dataset and code will be available at https://github.com/wudongming97/RMOT.Comment: Accpeted by CVPR 2023. The dataset and code will be available at https://github.com/wudongming97/RMO

TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision

End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on Region-of-Interest (RoI) operations to extract local features and complex post-processing steps to produce final predictions. To address these limitations, we propose TextFormer, a query-based end-to-end text spotter with Transformer architecture. Specifically, using query embedding per text instance, TextFormer builds upon an image encoder and a text decoder to learn a joint semantic understanding for multi-task modeling. It allows for mutual training and optimization of classification, segmentation, and recognition branches, resulting in deeper feature sharing without sacrificing flexibility or simplicity. Additionally, we design an Adaptive Global aGgregation (AGG) module to transfer global features into sequential features for reading arbitrarily-shaped texts, which overcomes the sub-optimization problem of RoI operations. Furthermore, potential corpus information is utilized from weak annotations to full labels through mixed supervision, further improving text detection and end-to-end text spotting results. Extensive experiments on various bilingual (i.e., English and Chinese) benchmarks demonstrate the superiority of our method. Especially on TDA-ReCTS dataset, TextFormer surpasses the state-of-the-art method in terms of 1-NED by 13.2%.Comment: MIR 2023, 15 page

B serum proteome profiles revealed dysregulated proteins and mechanisms associated with insomnia patients: A preliminary study

BackgroundInsomnia is a clinical problem of significant public health importance; however, the underlying pathogenesis of this disorder is not comprehensively understood.MethodsTo identify potential treatment targets and unfold one of the gaps that were involved in insomnia pathological mechanisms, we employed a tandem mass tag-based (TMT) quantitative proteomics technology to detect differentially expressed proteins (DEPs) in serum from patients with insomnia and controls. DEPs were further analyzed by bioinformatics platforms. In addition, parallel reaction monitoring (PRM) was used to verify the TMT results.ResultsPatients with insomnia had poorer sleep quality compared with healthy controls. A total of 106 DEPs were identified among patients with insomnia and controls. They were mainly enriched in immune and inflammation-related biological functions and signaling pathways. Using the protein–protein interaction network, we screened the 10 most connected proteins as key DEPs. We predicted that four key DEPs were subject to targeted regulation by natural compounds of herbs. Eight key DEPs were validated using PRM in an additional 15 patients with insomnia and 15 controls, and the results also supported the experimental findings.ConclusionWe identified aberrantly expressed proteins in insomnia that may be involved in the immune-inflammatory response. The 10 key DEPs screened may be potential targets for insomnia, especially FN1, EGF, HP, and IGF1. The results of this study will broaden our understanding of the pathological mechanisms of insomnia and provide more possibilities for pharmacotherapy