The Application of Big Data in Modern National Economy and Politics

Big data is a new stage of informatization development. With the convergence and integration of information technology and human production and life, the rapid spread of the Internet, global data showing explosive growth and massive agglomeration, have had a significant impact on economic development, social governance, national management, and people’s lives.Countries around the world regard the promotion of economic digitization as an important driving force for innovation and development, and have made forward-looking layouts in cuttingedge technology research and development, data open sharing, privacy and security protection, and talent training.In-depth understanding of the current situation and trends of big data development, and its impact on economic and social development, analyze the achievements and existing problems of my country’s big data development, summarize and discuss the government’s response strategies, and promote the innovation of government management and social governance models, and realize government decision-making Identification, precise social governance, and efficient public services all have important meanings

Research on the Social Impact of Artificial Intelligence and Government’s Coping Strategies

“Artificial intelligence” is one of the most popular buzzwords in the society at present, and was selected as the “Top Ten Chinese Media Popularity in 2017”. Human society is gradually entering a new era of artificial intelligence. Artificial intelligence is not just a scientific and technological innovation, but will bring about a big change in social life. As the State Council’s “New Generation Artificial Intelligence Development Plan” pointed out: “The rapid development of artificial intelligence will profoundly change human social life and change the world.” In the face of the new situation in the new era, governments at all levels must take the initiative to seek change and change, firmly grasp the major historical opportunities for the development of artificial intelligence, keep abreast of development, research and judge the general trend, actively plan, grasp the direction, seize the opportunities, and lead the world in the development of artificial intelligence. The trend, serving economic and social development and supporting national security, drives the overall leap and leapfrog development of national competitiveness

Systemic loss of Sarm1 protects Schwann cells from chemotoxicity by delaying axon degeneration

Protecting the nervous system from chronic effects of physical and chemical stress is a pressing clinical challenge. The obligate pro-degenerative protein Sarm1 is essential for Wallerian axon degeneration. Thus, blocking Sarm1 function is emerging as a promising neuroprotective strategy with therapeutic relevance. Yet, the conditions that will most benefit from inhibiting Sarm1 remain undefined. Here we combine genome engineering, pharmacology and high-resolution intravital videmicroscopy in zebrafish to show that genetic elimination of Sarm1 increases Schwann-cell resistance to toxicity by diverse chemotherapeutic agents after axonal injury. Synthetic degradation of Sarm1-deficient axons reversed this effect, suggesting that glioprotection is a non-autonomous effect of delayed axon degeneration. Moreover, loss of Sarm1 does not affect macrophage recruitment to nerve-wound microenvironment, injury resolution, or neural-circuit repair. These findings anticipate that interventions aimed at inhibiting Sarm1 can counter heightened glial vulnerability to chemical stressors and may be an effective strategy to reduce chronic consequences of neurotrauma.Tian et al. showed that systemic elimination of Sarm1 in zebrafish increases Schwann-cell resistance to chemotherapeutics and protects axons from Wallerian degeneration. They use genetics, pharmacology, and high resolution intravital videomicroscopy to study Sarm1 in vivo

Mitochondrial nutrients improve immune dysfunction in the type 2 diabetic Goto-Kakizaki rats.

The development of type 2 diabetes is accompanied by decreased immune function and the mechanisms are unclear. We hypothesize that oxidative damage and mitochondrial dysfunction may play an important role in the immune dysfunction in diabetes. In the present study, we investigated this hypothesis in diabetic Goto-Kakizaki rats by treatment with a combination of four mitochondrial-targeting nutrients, namely, R-alpha-lipoic acid, acetyl-L-carnitine, nicotinamide and biotin. We first studied the effects of the combination of these four nutrients on immune function by examining cell proliferation in immune organs (spleen and thymus) and immunomodulating factors in the plasma. We then examined, in the plasma and thymus, oxidative damage biomarkers, including lipid peroxidation, protein oxidation, reactive oxygen species, calcium and antioxidant defence systems, mitochondrial potential and apoptosis-inducing factors (caspase 3, p53 and p21). We found that immune dysfunction in these animals is associated with increased oxidative damage and mitochondrial dysfunction and that the nutrient treatment effectively elevated immune function, decreased oxidative damage, enhanced mitochondrial function and inhibited the elevation of apoptosis factors. These effects are comparable to, or greater than, those of the anti-diabetic drug pioglitazone. These data suggest that a rational combination of mitochondrial-targeting nutrients may be effective in improving immune function in type 2 diabetes through enhancement of mitochondrial function, decreased oxidative damage, and delayed cell death in the immune organs and blood

Random terahertz metamaterials

Using terahertz time domain spectroscopy we investigate the normal incidence transmission through periodically and randomly arranged planar split ring resonators (SRRs). Introduction of positional disorder in metamaterials has no effect on the quality factor of the fundamental Inductive-Capacitive (LC) resonance. The dipole resonances undergo broadening and shift in their resonance frequencies. The experiment reveals that the randomly distributed SRR structures interact incoherently at LC resonance but couple coherently at the higher frequency dipole resonance

Cryogenic temperatures as a path towards high-Q terahertz metamaterials

Optical properties of planar thin film metamaterials were measured at room and liquid nitrogen temperatures using terahertz time-domain spectroscopy. The operation of metamaterials at cryogenic temperatures is anticipated to be a promising path towards low-loss metamaterials since nonradiative losses are strongly suppressed due to higher charge mobility. A 14% increase in the quality factor of the resonances was experimentally observed. It was limited by the high electron scattering rate due to defects in thin films. Supplementary simulations assuming metamaterials made of thick films reveal a temperature controlled behaviour and a 40% increase of the Q-factor at 10 K.Comment: 6 pages, 4 figure

Revealing a Mutant-Induced Receptor Allosteric Mechanism for the Thyroid Hormone Resistance

Summary(#br)Resistance to thyroid hormone (RTH) is a clinical disorder without specific and effective therapeutic strategy, partly due to the lack of structural mechanisms for the defective ligand binding by mutated thyroid hormone receptors (THRs). We herein uncovered the prescription drug roxadustat as a novel THRβ-selective ligand with therapeutic potentials in treating RTH, thereby providing a small molecule tool enabling the first probe into the structural mechanisms of RTH. Despite a wide distribution of the receptor mutation sites, different THRβ mutants induce allosteric conformational modulation on the same His435 residue, which disrupts a critical hydrogen bond required for the binding of thyroid hormones. Interestingly, roxadustat retains hydrophobic interactions with THRβ via its unique phenyl extension, enabling the rescue of the activity of the THRβ mutants. Our study thus reveals a critical receptor allosterism mechanism for RTH by mutant THRβ, providing a new and viable therapeutic strategy for the treatment of RTH