On Liberation Nature of Technology From the Perspective of Social Ecological Civilization

Ecological civilization, which reflects the development stage and its state of social progress, is a sublation of aggressive growth model in modern industrial civilization. It is also a discard of extensive technology view that for limitless growth of wealth by abuse of science and technology. To some extent, technologies which represent the essential power of humankind, are born with the nature of liberation for man and its society. Specifically, we can never forget the liberation function of technology. While the nature of modern civilization is for the limitless liberation of human’s ego consciousness and desires by technologies, the nature of contemporary civilization is for the liberation and free of everyone and the whole society by technologies, eliminating the one dimensional society, one dimensional man, and one dimensional thought. In the background of establishing a harmony society, this paper tries to analyze the liberation nature of technology from the perspective of social ecological civilization in three dimensions. The first is the technology liberation in the context of reality, including the tendency of globalization and knowledge economy, the urgent need of green technology and the concrete practice of ecological restoration. The second is the development model of technology liberation in the context of theories, including the technology wildness phase of human ignorance in ancients, the technology civilization phase of dynamic increase of technologies as well as human confidence in modern times, and the eco-scientific phase of harmonious symbiosis in human and nature. And then the development of technology heads for the ultimate dimension of human and natural liberation. The third is a dialectic methodological enlightenment for contemporary technical practice based on the development venation of technology liberation

Research of Legal Issues of Employment Discrimination Against Female Migrant Workers

Since the reform and opening policy, the number of Chinese labors has been increasing for over 30 years, of which women labors take up a substantial percentage. Women labors have made great contribution to modernization of socialism, industrialization and urbanization. However, phenomena of employment discriminations to women labors still exist everywhere. Though in Labor Law, Employment Promotion Law many rules stipulate that people should not be kept away from discrimination because of gender or registration, in practice, defects that subjects and responsibilities and so on, are blurry, still confuse us a lot. Therefore, it is necessary to learn from other countries, with an advanced legal system of anti-employment discrimination, our current status need considering fully as well. Only through these can we provide a guarantee of women labor employment in the future, justice of employment order, in order to promote the construction of Socialism

CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception

Perception is crucial in the realm of autonomous driving systems, where bird's eye view (BEV)-based architectures have recently reached state-of-the-art performance. The desirability of self-supervised representation learning stems from the expensive and laborious process of annotating 2D and 3D data. Although previous research has investigated pretraining methods for both LiDAR and camera-based 3D object detection, a unified pretraining framework for multimodal BEV perception is missing. In this study, we introduce CALICO, a novel framework that applies contrastive objectives to both LiDAR and camera backbones. Specifically, CALICO incorporates two stages: point-region contrast (PRC) and region-aware distillation (RAD). PRC better balances the region- and scene-level representation learning on the LiDAR modality and offers significant performance improvement compared to existing methods. RAD effectively achieves contrastive distillation on our self-trained teacher model. CALICO's efficacy is substantiated by extensive evaluations on 3D object detection and BEV map segmentation tasks, where it delivers significant performance improvements. Notably, CALICO outperforms the baseline method by 10.5% and 8.6% on NDS and mAP. Moreover, CALICO boosts the robustness of multimodal 3D object detection against adversarial attacks and corruption. Additionally, our framework can be tailored to different backbones and heads, positioning it as a promising approach for multimodal BEV perception

Research status of stability in dynamic process of laser-arc hybrid welding based on droplet transfer behavior : a review

With the synergistic effect of laser and arc heat sources, laser-arc hybrid welding (LAHW) technology can improve welding speed and penetration depth, and enhance gap-bridging ability. This review describes the fundamental concepts and characteristics of droplet transfer behavior in LAHW. Emphasis was placed on the physical interaction between the laser and arc and the effect of the combined laser/arc heat sources on the welding process. However, the physical understanding of these multivariable and complex interactions is still evolving. Through numerous research findings and summary, it is found that there are several critical factors, including the laser-to-arc distance, heat source leading mode, shielding gas composition, and laser power, affecting the droplet transfer characteristics. This review critically interprets the latest development in the basic understanding of LAHW. It lays great stress on the coupling effect of laser and arc in droplet transfer dynamic process of LAHW, and offers a direction for the future study and progress of LAHW. Significant fields for future research are also confirmed

Extraction and Search of Chemical Formulae in Text Documents on the Web

Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets articles where the exact keyword string expressing the chemical formula is found. Searching for the exact occurrence of keywords during searching results in two problems for this domain: a) if the author searches for CH4 and the article has H4C, the article is not returned, and b) ambiguous searches like “He ” return all documents where Helium is mentioned as well as documents where the pronoun “he” occurs. To remedy these deficiencies, we propose a chemical formula search engine. To build a chemical formula search engine, we must solve the following problems: 1) extract chemical formulae from text documents, 2) index chemica

Bis[2-methoxy-6-(3-pyridylmethyliminomethyl)phenolato-κ2N,O]copper(II)

In the title complex, [Cu(C14H13N2O2)2], the CuII ion is located on a crystallographic inversion center. The complex thus adopts a square-planar trans-[CuN2O2] coordination geometry, with the CuII ion coordinated by two 2-methoxy-6-(3-pyridylmethyliminomethyl)phenolate (Schiff base) ligands. The aryl and pyridyl rings in the Schiff base are almost perpendicular to each other, with a dihedral angle of 87.61 (6)° between the planes of the two six-membered rings. The pyridyl ring was refined using a disorder model with approximately 70% occupancy for the major componen

WWW 2007 / Track: E*-Applications Session: E-Commerce and E-Content Extraction and Search of Chemical Formulae in Text Documents on the Web ∗

Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets articles where the exact keyword string expressing the chemical formula is found. Searching for the exact occurrence of keywords during searching results in two problems for this domain: a) if the author searches for CH4 and the article has H4C, the article is not returned, and b) ambiguous searches like “He ” return all documents where Helium is mentioned as well as documents where the pronoun “he” occurs. To remedy these deficiencies, we propose a chemical formula search engine. To build a chemical formula search engine, we must solve the following problems: 1) extract chemical formulae from text documents, 2) index chemica

ChemXSeer: An eScience Web Search Engine and Repository for Chemistry

E-science or cyberinfrastructure have become crucial for scientific progress and open source systems have greatly facilitated design and implementation. In chemistry, the growth of data has been explosive and timely and effective information and data access is critical [Atkins 2003, Hey 2006]. Many have argued that cyberinfrastructures for science are domain sensitive [Snow 2006] and many have been proposed. We have proposed and are developing the ChemXSeer architecture, a portal for academic researchers in environmental chemistry, which integrates the scientific literature with experimental, analytical and simulation datasets. ChemXSeer will be comprised of information crawled from the web, manual submission of scientific documents and user submitted datasets, as well as scientific documents and metadata provided by major publishers. Information crawled by ChemXSeer from the web and user submitted data will be publicly accessible whereas access to publisher resources can be provided by linking to their respective sites. Thus, instead of being a fully open search engine and repository, ChemXSeer will be a hybrid one, limiting access to some resources

Early Predictors of Acute Kidney Injury: A Narrative Review

Accompanied with the broad application of interventional therapy, the incidence of acute kidney injury (AKI) has been recently increasing in clinical renal medicine. The pathogenesis of AKI is diverse and complex. In the context of the requirements for the diagnosis and treatment of a renal disorder, a large number of studies have explored biological markers and their usefulness to the early diagnosis and treatment of AKI, including glomerular injury, renal tubular injury, and others. These biomarkers provide an important basis for early monitoring of AKI, but are still not quite sufficient. More ideal biomarkers are needed to be identified. Therefore, future studies are necessary to explore more effective biomarkers for AKI clinical practice, which would play an important role in the early diagnosis and intervention treatment of AKI. This review summarizes the important biomarkers identified by previous studies and aims to highlight the advancements that might provide new methods for early clinical diagnosis and effective therapeutic options, along with prediction of response to treatment for AKI