Society and State in Marcuse and Hegel

In the 40s and the 50s of the last century existed a largely shared conviction amongst the majority of social scientists in the US regarding the explanation of the theoretical philosophical roots of National Socialism. Contrarily to European writers, who searched its philosophical origins in irrational philosophical traditions, in the US, they relied upon the perception that Hegel＇s Philosophy of State was the most relevant ideological basis of National Socialism. Hegel＇s idea for the need of a strong state, seemed to clearly support the hypothesis. Herbert Marcuse, exiled in the United States, bad to confront himself with this conviction that academic colleague shared. This theoretical hypothesis was in tune to the Zeitgeist and the political context, in which anticommunism was growing stronger by the day and where the cold war was developing. Associating Hegel and National Socialism implied, for most of the hypothesis defenders yet another vantage point： it could discredit also Marx, for the tights links between his philosophical thinking and Hegel＇s one. For Marcuse this hypothesis was even more problematic knowing that in Germany, national socialist philosophers had rejected Hegel from the very first day their party came to power. In this article we try to analyze Marcuse＇s respective philosophical argument. The point of departure of this reconstruction is the philosophical interpretation of Hegel＇s theory of the State. Further than the historical context, the debate on Hegel and his theory of the State, is very relevant for today＇s debates, dominated by neoliberal ideologies, which often are starting from similar theoretical errors than the mentioned. In both cases exists a lack of understanding of the classic bourgeois content within the concept of the State, based on the French Revolution.

Struggle for Identity and Transformation of Social Media as Space of Interaction between State and Society

The article is devoted to the struggle for identity which has been intensified in the Russian social media in 2014 both on interpretation of the historical past and on the up-to-date situation, especially, Crimea events. Authors suppose that as a result social media become a means of manipulation more than independent space with rizhoma nature. In 2011-2012 social media were the space of struggle between authority and political opposition. Today space of social media is looking polarized regarding polarization of society in respect of political order and Putin political course.

Morphology and valence state evolution of Cu:Unraveling the impact on nitric oxide electroreduction

Ammonia(NH3)serves as a critical component in the fertilizer industry and fume gas denitrification.However,the conventional NH3production process,namely the Haber-Bosch process,leads to considerable energy consumption and waste gas emissions.To address this,electrocatalytic nitric oxide reduction reaction(NORR)has emerged as a promising strategy to bridge NH3consumption to NH3production,harnessing renewable electricity for a sustainable future.Copper(Cu)stands out as a prominent electrocatalyst for NO reduction,given its exceptional NH3yield and selectivity.However,a crucial aspect that remains insufficiently explored is the effects of morphology and valence states of Cu on the NORR performance.In this investigation,we synthesized CuO nanowires(CuO-NF)and Cu nanocubes(Cu-NF)as cathodes through an in situ growth method.Remarkably,CuO-NF exhibited an impressive NH3yield of 0.50±0.02 mg cm^(-2)h^(-1)at-0.6 V vs.reversible hydrogen electrode(RHE)with faradaic efficiency of29,68%±1,35%,surpassing that of Cu-NF(0.17±0.01 mg cm^(-2)h^(-1),16.18%±1.40%).Throughout the electroreduction process,secondary cubes were generated on the CuO-NF surface,preserving their nanosheet cluster morphology,sustained by an abundant supply of subsurface oxygen(s-O)even after an extended duration of 10 h,until s-O depletion ensued.Conversely,Cu-NF exhibited inadequate s-O content,leading to rapid crystal collapse within the same timeframe.The distinctive current-potential relationship,akin to a volcano-type curve,was attributed to distinct NO hydrogenation mechanisms.Further Tafel analysis revealed the exchange current density(i0)and standard heterogeneous rate constant(k0)for CuO-NF,yielding 3.44×10^(-6)A cm^(-2)and 3.77×10^(-6)cm^(-2)s^(-1)when NORR was driven by overpotentials.These findings revealed the potential of CuO-NF for NO reduction and provided insights into the intricate interplay between crystal morphology,valence states,and electrochemical performance.

Association of DNA methylation/demethylation with the functional outcome of stroke in a hyperinflammatory state

Inflammation is closely related to stroke prognosis, and high inflammation status leads to poor functional outcome in stroke. DNA methylation is involved in the pathogenesis and prognosis of stroke. However, the effect of DNA methylation on stroke at high levels of inflammation is unclear. In this study, we constructed a hyperinflammatory cerebral ischemia mouse model and investigated the effect of hypomethylation and hypermethylation on the functional outcome. We constructed a mouse model of transient middle cerebral artery occlusion and treated the mice with lipopolysaccharide to induce a hyperinflammatory state. To investigate the effect of DNA methylation on stroke, we used small molecule inhibitors to restrain the function of key DNA methylation and demethylation enzymes. 2,3,5-Triphenyltetrazolium chloride staining, neurological function scores, neurobehavioral tests, enzyme-linked immunosorbent assay, quantitative reverse transcription PCR and western blot assay were used to evaluate the effects after stroke in mice. We assessed changes in the global methylation status by measuring DNA 5-mc and DNA 5-hmc levels in peripheral blood after the use of the inhibitor. In the group treated with the DNA methylation inhibitor, brain tissue 2,3,5-triphenyltetrazolium chloride staining showed an increase in infarct volume, which was accompanied by a decrease in neurological scores and worsening of neurobehavioral performance. The levels of inflammatory factors interleukin 6 and interleukin-1 beta in ischemic brain tissue and plasma were elevated, indicating increased inflammation. Related inflammatory pathway exploration showed significant overactivation of nuclear factor kappa B. These results suggested that inhibiting DNA methylation led to poor functional outcome in mice with high inflammation following stroke. Further, the effects were reversed by inhibition of DNA demethylation. Our findings suggest that DNA methylation regulates the inflammatory response in stroke and has an important role in the functional outcome of hyperinflammatory stroke.

Assessment of Wet Season Precipitation in the Central United States by the Regional Climate Simulation of the WRFG Member in NARCCAP and Its Relationship with Large-Scale Circulation Biases

Assessment of past-climate simulations of regional climate models(RCMs)is important for understanding the reliability of RCMs when used to project future regional climate.Here,we assess the performance and discuss possible causes of biases in a WRF-based RCM with a grid spacing of 50 km,named WRFG,from the North American Regional Climate Change Assessment Program(NARCCAP)in simulating wet season precipitation over the Central United States for a period when observational data are available.The RCM reproduces key features of the precipitation distribution characteristics during late spring to early summer,although it tends to underestimate the magnitude of precipitation.This dry bias is partially due to the model’s lack of skill in simulating nocturnal precipitation related to the lack of eastward propagating convective systems in the simulation.Inaccuracy in reproducing large-scale circulation and environmental conditions is another contributing factor.The too weak simulated pressure gradient between the Rocky Mountains and the Gulf of Mexico results in weaker southerly winds in between,leading to a reduction of warm moist air transport from the Gulf to the Central Great Plains.The simulated low-level horizontal convergence fields are less favorable for upward motion than in the NARR and hence,for the development of moist convection as well.Therefore,a careful examination of an RCM’s deficiencies and the identification of the source of errors are important when using the RCM to project precipitation changes in future climate scenarios.

Thermal safety boundary of lithium-ion battery at different state of charge

Thermal runaway(TR)is a critical issue hindering the large-scale application of lithium-ion batteries(LIBs).Understanding the thermal safety behavior of LIBs at the cell and module level under different state of charges(SOCs)has significant implications for reinforcing the thermal safety design of the lithium-ion battery module.This study first investigates the thermal safety boundary(TSB)correspondence at the cells and modules level under the guidance of a newly proposed concept,safe electric quantity boundary(SEQB).A reasonable thermal runaway propagation(TRP)judgment indicator,peak heat transfer power(PHTP),is proposed to predict whether TRP occurs.Moreover,a validated 3D model is used to quantitatively clarify the TSB at different SOCs from the perspective of PHTP,TR trigger temperature,SOC,and the full cycle life.Besides,three different TRP transfer modes are discovered.The interconversion relationship of three different TRP modes is investigated from the perspective of PHTP.This paper explores the TSB of LIBs under different SOCs at both cell and module levels for the first time,which has great significance in guiding the thermal safety design of battery systems.

Whole-process case management effects on mental state and selfcare ability in patients with liver cancer

BACKGROUND Regarding the incidence of malignant tumors in China,the incidence of liver cancer ranks fourth,second only to lung,gastric,and esophageal cancers.The case fatality rate ranks third after lung and cervical cancer.In a previous study,the whole-process management model was applied to patients with breast cancer,which effectively reduced their negative emotions and improved treatment adherence and nursing satisfaction.METHODS In this single-center,randomized,controlled study,60 randomly selected patients with liver cancer who had been admitted to our hospital from January 2021 to January 2022 were randomly divided into an observation group(n=30),who received whole-process case management on the basis of routine nursing mea-sures,and a control group(n=30),who were given routine nursing measures.We compared differences between the two groups in terms of anxiety,depression,the level of hope,self-care ability,symptom distress,sleep quality,and quality of life.RESULTS Post-intervention,Hamilton anxiety scale,Hamilton depression scale,memory symptom assessment scale,and Pittsburgh sleep quality index scores in both groups were lower than those pre-intervention,and the observation group had lower scores than the control group(P<0.05).Herth hope index,self-care ability assessment scale-revision in Chinese,and quality of life measurement scale for patients with liver cancer scores in both groups were higher than those pre-intervention,with higher scores in the observation group compared with the control group(P<0.05).CONCLUSION Whole-process case management can effectively reduce anxiety and depression in patients with liver cancer,alleviate symptoms and problems,and improve the level of hope,self-care ability,sleep quality,and quality of life,as well as provide feasible nursing alternatives for patients with liver cancer.

A Beijing NGO The Perplexed State of Contemporary Women The Women＇s Research Institute Keeps its finger on the pulse of Beijing＇s rapidly changing society

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Pixelated non-volatile programmable photonic integrated circuits with 20-level intermediate states

Multi-level programmable photonic integrated circuits(PICs)and optical metasurfaces have gained widespread attention in many fields,such as neuromorphic photonics,opticalcommunications,and quantum information.In this paper,we propose pixelated programmable Si_(3)N_(4)PICs with record-high 20-level intermediate states at 785 nm wavelength.Such flexibility in phase or amplitude modulation is achieved by a programmable Sb_(2)S_(3)matrix,the footprint of whose elements can be as small as 1.2μm,limited only by the optical diffraction limit of anin-house developed pulsed laser writing system.We believe our work lays the foundation for laser-writing ultra-high-level(20 levels and even more)programmable photonic systems and metasurfaces based on phase change materials,which could catalyze diverse applications such as programmable neuromorphic photonics,biosensing,optical computing,photonic quantum computing,and reconfigurable metasurfaces.

Semi-analytical solution for drained expansion analysis of a hollow cylinder of critical state soils

The expansion of a thick-walled hollow cylinder in soil is of non-self-similar nature that the stress/deformation paths are not the same for different soil material points.As a result,this problem cannot be solved by the common self-similar-based similarity techniques.This paper proposes a novel,exact solution for rigorous drained expansion analysis of a hollow cylinder of critical state soils.Considering stress-dependent elastic moduli of soils,new analytical stress and displacement solutions for the nonself-similar problem are developed taking the small strain assumption in the elastic zone.In the plastic zone,the cavity expansion response is formulated into a set of first-order partial differential equations(PDEs)with the combination use of Eulerian and Lagrangian descriptions,and a novel solution algorithm is developed to efficiently solve this complex boundary value problem.The solution is presented in a general form and thus can be useful for a wide range of soils.With the new solution,the non-self-similar nature induced by the finite outer boundary is clearly demonstrated and highlighted,which is found to be greatly different to the behaviour of cavity expansion in infinite soil mass.The present solution may serve as a benchmark for verifying the performance of advanced numerical techniques with critical state soil models and be used to capture the finite boundary effect for pressuremeter tests in small-sized calibration chambers.

An Analysis of the Current State of Civil Society Participation in Ensuring the National Security of Mongolia

In this article, the researchers tried to evaluate the contribution of civil society to Mongolian democracy and the problems faced by civil society. In addition, the article aimed to determine the unique national criteria of Mongolian democracy and the need to create an organization to monitor the process of democracy. The process of identifying important documents and ideals for the development of Mongolian civil society today is still in its early stages. It can be said that the approval of the democratic constitution and the first free and fair parliamentary elections as a country that has newly and restored democracy became another impetus for the creation of a new type of citizen organization. It is characterized by trying to study the changes that have occurred since this historical period at the intersection of political science and security studies. One of the most important issues today is to find out how many non-governmental and civil society organizations exist in Mongolia today, which are Western-oriented, focused on specific issues, have their own position and opinion, are specialized, and are capable of influencing government policy. On the other hand, in this article, we emphasize whether non-governmental and civil society organizations, which aim to hold the government accountable, and carry out influence and control activities, are fully developed.

Modeling time-dependent mechanical behavior of hard rock considering excavation-induced damage and complex 3D stress states

To investigate the long-term stability of deep rocks,a three-dimensional(3D)time-dependent model that accounts for excavation-induced damage and complex stress state is developed.This model comprises three main components:a 3D viscoplastic isotropic constitutive relation that considers excavation damage and complex stress state,a quantitative relationship between critical irreversible deformation and complex stress state,and evolution characteristics of strength parameters.The proposed model is implemented in a self-developed numerical code,i.e.CASRock.The reliability of the model is validated through experiments.It is indicated that the time-dependent fracturing potential index(xTFPI)at a given time during the attenuation creep stage shows a negative correlation with the extent of excavationinduced damage.The time-dependent fracturing process of rock demonstrates a distinct interval effect of the intermediate principal stress,thereby highlighting the 3D stress-dependent characteristic of the model.Finally,the influence of excavation-induced damage and intermediate principal stress on the time-dependent fracturing characteristics of the surrounding rocks around the tunnel is discussed.

General Philosophy of Relationism and Its Application to the Political Theory of State and Society and Implications on Natural Sciences

In the examination and study of the general methodology of science and philosophy,we have discovered a common fundamental problem of the“paradox of the basic element”that creates inconsistencies in social and natural theory and general ontology and epistemology.Our study of the interactions of states as major international actors leads us to the conclusion that the unsolved“paradox of the basic element”of the general systems theory(GST)applied in the neorealist doctrine of international relations generates apparent fundamental theoretical weaknesses that have to be resolved.Therefore,herein we propose a solution to the paradox of the basic element on an ontological level by showing that not the element,but rather the relation is the basic“entity”of the system.Such an approach,where the relationship is the most fundamental category and plays a primary role in the system,transforms the GST into a relationist theory(systemic relationism)that includes the relevant systemic variables both in the system as a whole and in its subsystems(or elements).At the same time,due to the equivalence of the“paradox of the basic element”with the paradox of existence of anything or everything(usually formulated as“Why everything[that is]exists”[and not just nothing]),our relationist approach proves to be a good methodological tool for resolving this fundamental question of the general ontology.In addition,this new approach seems to resolve even the basic problem of natural philosophy formulated as the origin of natural force(F).The relationism formulated in our study provides an answer for the existence of anything(E)in relation to nothingness(N),and then through equivalence of basic relation and interaction explains natural force(s)(F)studied in physics.The basic relation in form of irreducible and inseparable{E,N}system or{E}<->{N},(where E—everything,N—nothingness),represents in the physical world a basic irreducible interaction,e.g.,a category of force defined in physics(as intensity of interaction).Thus,by applying the same relationist methodology for understanding the physics of force,we provide a fundamental answer related to the origin of force(in the universe).However,besides natural and social applications,in the present article,we discuss how relationism can be used to resolve controversies in the mainstream political theories of state and to provide new original explanation of the origin of state and causes of social development and change.One of our basic conclusions related to the genesis of state is that this supreme institution was historically(systemically)created as a result of struggle for the monopoly of force when the legal idea of titulus(a title of leader/ruler that could be subject of inheritance)emerged.Rulers(i.e.,first kings,as successor of primitive tribal chiefs)developed and established legitimacy and appropriate binding rules or laws related to that supreme title to justify their special status(titulus).

Preparation of entangledW states based on the cavity QED system

We present a qubit-loss-free(QLF)fusion scheme for generating large-scale atom W states in cavity quantum electrodynamics(QED)system.Compared to the most current fusion schemes which are conditioned on the case where one particle can be extracted from each initial W state to the fusion process,our scheme will access one or two particles from each W state.Based on the atom–cavity-field detuned interaction,three jWin+m+t states can be generated from the jWin,jWim,and jWit states with the help of two auxiliary atoms,and three jWin+m+t+q states can be generated from jWin,jWim,jWit,and a jWiq state with the help of three auxiliary atoms.Comparing the numerical simulations of the resource cost of fusing three small-size W states based on the previous schemes,our fusion scheme seems to be more efficient.This QLF fusion scheme can be generalized to the case of fusing k different or identical particle W states.Furthermore,with no qubit loss,it greatly reduces the number of fusion steps and prepares W states with larger particle numbers.

Entropy variances of pure coherent states in the diffusion channel

Using the operator correspondence of the real and fictious modes in the thermo entangled state representation, wesolve the quantum master equation describing the diffusion channel and obtain the Kraus operator-sum representation ofits analytical solution. we find that the pure coherent states evolve into the new mixed thermal superposed states in thediffusion channel. Also, we investigate the statistical properties of the initial coherent states and their entropy evolutions inthe diffusion channel, and find that the entropy evolutions are only related to the decay time and without the amplitudes ofthe initial coherent states.

Machine-learning-assisted efficient reconstruction of the quantum states generated from the Sagnac polarization-entangled photon source

Neural networks are becoming ubiquitous in various areas of physics as a successful machine learning(ML)technique for addressing different tasks.Based on ML technique,we propose and experimentally demonstrate an efficient method for state reconstruction of the widely used Sagnac polarization-entangled photon source.By properly modeling the target states,a multi-output fully connected neural network is well trained using only six of the sixteen measurement bases in standard tomography technique,and hence our method reduces the resource consumption without loss of accuracy.We demonstrate the ability of the neural network to predict state parameters with a high precision by using both simulated and experimental data.Explicitly,the mean absolute error for all the parameters is below 0.05 for the simulated data and a mean fidelity of 0.99 is achieved for experimentally generated states.Our method could be generalized to estimate other kinds of states,as well as other quantum information tasks.

Assessing the Impact of Population Growth in Louisiana on Diminishing Water Quantity and Quality within the State

This study explores the intricate relationship between population growth and water resource management in Louisiana, emphasizing the spatial distribution of water quality. Human activities, particularly urbanization, have significantly impacted the state’s water resources, with population growth driving increased water withdrawals for public supply, industry, and power generation. By employing a Geographic Information System (GIS)-centered approach, this research utilizes Louisiana’s census data from 1999 to 2020 to illustrate population shifts and their effects on water resource distribution. The study also incorporated advanced remote sensing techniques, using Sentinel 2 imagery to assess the water quality through the Trophic State Index (TSI). The TSI, calculated based on the near-infrared (NIR) and Red bands of Sentinel-2 imagery, provided a nuanced understanding of the nutrient levels and clarity/ quality of water bodies across the state. The study reveals a significant correlation between population density and water withdrawals, with higher populations leading to greater extraction from both groundwater and surface water sources. For instance, densely populated parishes like East Baton Rouge and Orleans showed substantially higher water withdrawals for public supply, industry, and power generation compared to less populated areas. The water quality analysis indicated that many water bodies in Louisiana are experiencing high levels of nutrient enrichment, with rivers and streams accounting for 86% of the impaired water bodies, and lakes, reservoirs, and coastal waters showing hypereutrophic conditions in up to 96% of cases. These results underscore the significant impact of human activities on Louisiana’s water resources, highlighting the need for effective water management practices that consider both quantity and quality. The study therefore advocates for the implementation of water conservation measures, responsible consumption, and pollution prevention strategies to ensure the sustainable use of water resources and the preservation of water quality across Louisiana.

Target layer state estimation in multi-layer complex dynamical networks considering nonlinear node dynamics

In many engineering networks, only a part of target state variables are required to be estimated.On the other hand,multi-layer complex network exists widely in practical situations.In this paper, the state estimation of target state variables in multi-layer complex dynamical networks with nonlinear node dynamics is studied.A suitable functional state observer is constructed with the limited measurement.The parameters of the designed functional observer are obtained from the algebraic method and the stability of the functional observer is proven by the Lyapunov theorem.Some necessary conditions that need to be satisfied for the design of the functional state observer are obtained.Different from previous studies, in the multi-layer complex dynamical network with nonlinear node dynamics, the proposed method can estimate the state of target variables on some layers directly instead of estimating all the individual states.Thus, it can greatly reduce the placement of observers and computational cost.Numerical simulations with the three-layer complex dynamical network composed of three-dimensional nonlinear dynamical nodes are developed to verify the effectiveness of the method.

Beyond axial symmetry:high-energy collisions unveil the ground-state shape of ^(238)U

How does the strong force shape the structure of atomic nuclei- The STAR collaboration at the BNL Relativistic Heavy Ion Collider(RHIC) demonstrate that ultra-relativistic collision experiments give key insights into this fundamental question. From dedicated measurements in ^(238)U+^(238)U collisions at 100 GeV/nucleon energy, the STAR collaboration determine the deformed shape of the ^(238)U nucleus, showing in particular that the experimental observables probe the elusive ground-state triaxiality of this isotope. These results pave the way to systematic characterizations of ground-state nuclear properties at high-energy colliders.

Topological edge and corner states of valley photonic crystals with zipper-like boundary conditions

We present a stable valley photonic crystal(VPC)unit cell with C_(3v)symmetric quasi-ring-shaped dielectric columns and realize its topological phase transition by breaking mirror symmetry.Based on this unit cell structure,topological edge states(TESs)and topological corner states(TCSs)are realized.We obtain a new type of wave transmission mode based on photonic crystal zipper-like boundaries and apply it to a beam splitter assembled from rectangular photonic crystals(PCs).The constructed beam splitter structure is compact and possesses frequency separation functions.In addition,we construct a box-shaped triangular PC structures with zipper-like boundaries and discover phenomena of TCSs in the corners,comparing its corner states with those formed by other boundaries.Based on this,we explore the regularities of the electric field patterns of TESs and TCSs,explain the connection between the characteristic frequencies and locality of TCSs,which helps better control photons and ensures low power consumption of the system.