Current Tension Research Articles

Infrastructure and the patterns of trade: An empirical look at China

Transport infrastructure plays an important role in economic growth, particularly for developing countries. Recently a burgeoning literature explores how transport infrastructure facilitates economic growth via the channel of trade. In this paper, we study this question in the context of China, but with several distinctions. First, we distinguish firms from different regions in China, and see how their trade behavior responds differently to changes in infrastructure. Second, we consider both export and domestic sales, with an eye toward the interplay between the two channels. Our estimation results reveal the presence of both regional heterogeneity and sales channel competition. For in-land provinces, an improvement in their transport infrastructure raises firms’ exports at the cost of domestic sales. Interestingly, the results are reversed for coastal provinces, mainly driven by non-coastal cities of coastal provinces (rather than coastal cities). We also find negative spatial spillover, in the sense that neighboring provinces tend to compete with rather than complement each other. Our analysis has important policy implications under the current geopolitical tension and policy initiatives (e.g. dual circulation in China).

Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution

Electrical current can effectively improve the plasticity of metallic materials. The tensile deformation behavior of Al alloys under the pulsed electrical current assisted quasi-static unidirectional tension (EAT) has been investigated. Materials under the EAT exhibits periodic electro-softening and strain-hardening behaviors, i.e., a ratchet shape mechanical response. However, establishing a constitutive model to accurately predict the ratchet shape mechanical behavior, especially during the EAT interval, and accurately predicting the strain-hardening behavior of materials are critical issues that need to be solved urgently. In this study, based on the Taylor polycrystalline model, thermal activation theory and dislocation density evolution theory, a two-parameter dislocation density electroplasticity constitutive model with forward and reverse dislocation density evolution was developed to describe the periodic coupling effect of the electro-thermal-mechanical fields during EAT. The tensile deformation behaviors of AA 6061-T6 and AA 7075-T6 under the effect of a pulsed electrical current were quantitatively predicted using the proposed constitutive model. The results show that the correlation coefficient between the predicted and experimental results of the constitutive model can reach 0.84–0.99, implying that the proposed constitutive model can accurately predict the complex electroplasticity behavior of Al alloys during EAT.

Split Majoron model confronts the NANOGrav signal and cosmological tensions

In the light of the evidence of a gravitational wave background from the NANOGrav 15 yr dataset, we reconsider the split Majoron model as a new physics extension of the standard model able to generate a needed contribution to solve the current tension between the data and the standard interpretation in terms of inspiraling supermassive black hole massive binaries. In the split Majoron model the seesaw right-handed neutrinos acquire Majorana masses from spontaneous symmetry breaking of global U(1)B−L in a strong first order phase transition of a complex scalar field occurring above the electroweak scale. The final vacuum expectation value couples to a second complex scalar field undergoing a low scale phase transition occurring after neutrino decoupling. Such a coupling enhances the strength of this second low scale first order phase transition and can generate a sizeable primordial gravitational wave background contributing to the NANOGrav 15 yr signal. Some amount of extraradiation is generated after neutron-to-proton ration freeze-out but prior to nucleosynthesis. This can be either made compatible with the current upper bound from primordial deuterium measurements or even be used to solve a potential deuterium problem. Moreover, the free streaming length of light neutrinos can be suppressed by their interactions with the resulting Majoron background, and this mildly ameliorates existing cosmological tensions. Thus cosmological observations nicely provide independent motivations for the model. Published by the American Physical Society 2024

IDENTITY POLITICS IN PROGRESS: A CRITICAL EXAMINATION OF SYAFII MAARIF’S IDEAS

In Indonesia’s political landscape, there is a current tension between identity politics and populist ideologies. Identity politics is a broad term used to describe political movements and actions related to religious identities and institutions, particularly in an Islamic setting. However, it raises concern about how we will investigate identity politics as part of a contextual, constituent-based approach to politics. The current study investigates Syafii Maarif’s political views. By employing a social hermeneutic approach and interpretive methodologies, this thought is elaborated in this study. The investigation reveals three primary elements of identity politics based on Maarif’s analysis: 1) ethnicity, 2) religion, and 3) political ideology. According to Maarif, any political activity that has these three characteristics is intrinsically saturated with identity politics. As a result, Muslim politics are often limited and narrowly defined. To address this constraint, the findings of this study advocate the actualization of the notion of identity politics to make space for populist politics. While religion, ethnicity, and political ideology coexist, a populist approach is still relevant in Islamic politics, persuasion methods, and specific constituency-based political connections.

Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety.

Surface the urgent dilemma that healthcare delivery organizations (HDOs) face navigating the US Food and Drug Administration (FDA) final guidance on the use of clinical decision support (CDS) software. We use sepsis as a case study to highlight the patient safety and regulatory compliance tradeoffs that 6129 hospitals in the United States must navigate. Sepsis CDS remains in broad, routine use. There is no commercially available sepsis CDS system that is FDA cleared as a medical device. There is no public disclosure of an HDO turning off sepsis CDS due to regulatory compliance concerns. And there is no public disclosure of FDA enforcement action against an HDO for using sepsis CDS that is not cleared as a medical device. We present multiple policy interventions that would relieve the current tension to enable HDOs to utilize artificial intelligence to improve patient care while also addressing FDA concerns about product safety, efficacy, and equity.

Shedding light on the [formula omitted] tension with supernova neutrinos

One long-standing tension in the determination of neutrino parameters is the mismatched value of the solar mass square difference, Δm212, measured by different experiments: the reactor antineutrino experiment KamLAND finds a best fit larger than the one obtained with solar neutrino data. Even if the current tension is mild (∼1.5σ), it is timely to explore if independent measurements could help in either closing or reassessing this issue. In this regard, we explore how a future supernova burst in our galaxy could be used to determine Δm212 at the future Hyper-Kamiokande detector, and how this could contribute to the current situation. We study Earth matter effects for different models of supernova neutrino spectra and supernova orientations. We find that, if supernova neutrino data prefers the KamLAND best fit for Δm212, an uncertainty similar to the current KamLAND one could be achieved. On the contrary, if it prefers the solar neutrino data best fit, the current tension with KamLAND results could grow to a significance larger than 5σ. Furthermore, supernova neutrinos could significantly contribute to reducing the uncertainty on sin2⁡θ12.

A Hubble constant estimate from galaxy cluster and type Ia SNe observations

In this work, we constrain the Hubble constant parameter, H 0, using a combination of the Pantheon sample and galaxy clusters (GC) measurements from minimal cosmological assumptions. Assuming the validity of the cosmic distance duality relation, an estimator is created for H 0 that only depends on simple geometrical distances, which is evaluated from Pantheon and a GC angular diameter distance sample afterward. The statistical and systematic errors in GC measurements are summed in quadrature in our analysis. We find H 0 = 67.22 ± 6.07 km s-1 Mpc-1 in 1σ confidence level (C.L.). This measurement presents an error of around 9%, showing that future and better GC measurements can shed light on the current Hubble tension.

From Complementarity to Rivalry: The Political Economy of United States-China Relations

This paper analyzes this shift in the relationship between China and the United States, focusing in particular on the role of American corporations in shaping US geopolitical strategies with regard to China. Once aggressive promoters of economic integration with China, these firms now defend policies designed to block the growth of Chinese firms in Western markets and protect America’s lead in critical emerging technologies. The current tension between the US and China, we argue, reflects, in part, a dispute for control over technical progress in these key areas.

Failure analysis of strain clamps on a ± 800 kV transmission line

During X-ray testing of a ± 800 kV ultra-high voltage direct current transmission line tension clamp, it was found that the internal steel core had broken. To investigate the cause of the steel core fracture, the failed clamp was dissected and analyzed, including chemical material testing, mechanical performance testing, fracture morphology inspection, and analysis of the compression process of the tension clamp. A preliminary judgment was proposed on the cause of the internal steel core fracture of the tension clamp, And verification experiments and simulation analysis were conducted to preliminarily determine the cause of the steel core fracture, and it was ultimately concluded that the main reason for the steel core fracture was the incorrect compression sequence of the large cross-section wire tension clamp.

Observational bounds on extended minimal theories of massive gravity: new limits on the graviton mass

In this work, we derive for the first time observational constraints on the extended Minimal Theory of Massive Gravity (eMTMG) framework in light of Planck-CMB data, geometrical measurements from Baryon Acoustic Oscillation (BAO), Type Ia supernovae from the recent Pantheon+ samples, and also using the auto and cross-correlations cosmic shear measurements from KIDS-1000 survey. Given the great freedom of dynamics choice for the theory, we consider an observationally motivated subclass in which the background evolution of the Universe goes through a transition from a (positive or negative) value of the effective cosmological constant to another value. From the statistical point of view, we did not find evidence of such a transition, i.e. deviation from the standard ΛCDM behavior, and from the joint analysis using Planck + BAO + Pantheon+ data, we constrain the graviton mass to < 6.6 × 10-34 eV at 95% CL. We use KIDS-1000 survey data to constrain the evolution of the scalar perturbations of the model and its limits for the growth of structure predicted by the eMTMG scenario. In this case, we find small evidence at 95% CL for a non-zero graviton mass. We interpret and discuss these results in light of the current tension on the S 8 parameter. We conclude that, within the subclass considered, the current data are only able to impose upper bounds on the eMTMG dynamics. Given its potentialities beyond the subclass, eMTMG can be classified as a good candidate for modified gravity, serving as a framework in which observational data can effectively constrain (or confirm) the graviton mass and deviations from the standard ΛCDM behavior.

Lensing convergence and anisotropic dark energy in galaxy redshift surveys

Analyses of upcoming galaxy surveys will require careful modelling of relevant observables such as the power spectrum of galaxy counts in harmonic space Cℓ(z,z′). We investigate the impact of disregarding relevant relativistic effects by considering a model of dark energy including constant sound speed ceff2, constant equation of state w, and anisotropic stress sourced by matter perturbations π. Cosmological constraints were computed using cosmic microwave background anisotropies, baryon acoustic oscillations, supernovae type Ia, and redshift space distortions. Our results are consistent with w=−1, ceff2=1, and π=0. Then, a forecast for the performance of an Euclid-like galaxy survey was carried out also adding information from other probes. Here we show that, regardless of the galaxy survey configuration, neglecting the effect of lensing convergence will lead to substantial shifts in the galaxy bias b0 and the neutrino mass ∑mν. Shifts in the dark energy sound speed and anisotropic stress also appear, but they depend on the survey configuration and hence lack robustness. While neglecting lensing convergence also leads to a Hubble constant H0 moving downwards, the significance of the shift is not big enough to play a relevant part in the current H0 tension.

Causes and Ways of Relieving Parents' Anxiety Under the Double Reduction Policy

With the continuous implementation of the nine-year compulsory education policy, parents are increasingly anxious about their children's education. According to the analysis of various existing situations, parents' anxiety is still in a very serious degree, and it is urgent to understand and analyze parents' anxiety. On this basis, through the research review and analysis of different literatures, this paper makes an in-depth analysis, clarifies the internal logic of parental anxiety, and understands the different internal and external factors that lead to parental anxiety. Internal factors are due to parents' worries about their children's education, their worries about their children's future and the success of their education. Not only that, parents' comparison psychology, fear of policy uncertainty, as well as parents' own age and cultural background and other factors concentrate on the internal factors of parents' anxiety. From the external point of view, with the actual situation has been changing the education policy, the current social tension employment situation, the influence of traditional concepts and social public opinion, and the uneven distribution pattern of education resources have further deepened the anxiety of parents. In addition, the reform form of cram school is not optimistic, the influence of parents' education of children around them and the unsatisfactory home-school cooperation have also made parents' anxiety gradually become diversified and complicated. Parents need to change their concept of education, regain confidence in their children's education, change the way of education and use advanced network technology to build home-school cooperation.

“Srawung Persaudaraan Sejati Kaum Muda Lintas Agama” Gereja Keuskupan Agung Semarang dalam Kacamata Dokumen Fratelli Tutti

Amid the current tension of interfaith life in Indonesia, the Semarang Archdiocese Church (KAS) is working to create a welcoming space for young people. Since 2014, KAS Church has organized an activity called “Kongres Persaudaraan Sejati”, which was later changed to “Srawung Persaudaraan Sejati Kaum Muda Lintas Agama” in 2018. This activity, which takes place every four years, aims to demonstrate the Catholic Church's involvement in upholding the value of pluralism, which is based on a culture of encounter or dialog. This idea of a culture of encounter was then enriched by the ideological model defended by Pope Francis in his encyclical Fratelli Tutti (2020). The document Fratelii Tutti (2020) contains a model for reflection on coexistence and the movement towards world peace. This article will explore the thought pattern of Pope Francis regarding the document Fratelli Tutti (2020) and find the contribution of this thought to the activity “Srawung Persaudaraan Sejati Kaum Muda Lintas Agama”.

The Current Tension Electric Field in the Generalized Ohm's Law

AbstractIn the prevailing form of the generalized Ohm's law (GOL), is often neglected. Because of the resemblance to the magnetic tension, we refer to this term as the current tension electric field (ECT). Our theoretical analysis reveals that ECT with a characteristic length of dominates the electron inertia terms in the electron diffusion region (EDR) and is comparable to the electron pressure term in low‐βe conditions. Using particle‐in‐cell simulations, we demonstrate that ECT can contribute significantly to the reconnection electric field and energy dissipation at the boundaries of the inner EDR and in the outer EDR. Positive and negative J ⋅ ECT can be used to identify inner and outer electron diffusion regions, respectively.

The US-China Trade War: A Constructive Analysis of the Causes and Methods of De-Escalation

A Global Perspective on the US-China Trade War: Causes, Consequences, and Implications. The US-China trade war, ignited by the protectionist rhetoric of former President Donald Trump, has had profound implications for global economic relations. This paper seeks to examine the chronological development of the trade war, its underlying causes, and the far-reaching consequences it has had on the relationship between the two superpowers. Additionally, it explores the potential ramifications for the Indo-Pacific region and the dynamics of the US-Russia relationship.The trade war has emerged as a complex issue, with both the US and China resorting to retaliatory measures, resulting in a vicious cycle of tariffs and sanctions. Through a thorough investigation, this paper aims to shed light on the impact of these measures on the competitive advantage of American companies compared to their Chinese counterparts. Furthermore, it delves into China's countermeasures and their effects on the country's economy and industrial development.To ensure a comprehensive analysis, the paper draws on a thorough literature review, referencing various studies that explore the root causes and economic impact of the trade war. It places the trade war within its historical context, drawing parallels with past conflicts such as the US-Japan trade war, and examines the political motivations behind the current tension between the US and China.The analysis incorporates relevant statistical data, including trade deficit figures and the composition of imports and exports between the two nations. By doing so, it aims to paint a clear picture of the economic ramifications of the trade war on both countries and the global economy.In conclusion, the paper underscores the necessity of adopting a pragmatic and rational approach to address the US-China trade war. It advocates for both nations to seek common ground while setting aside their differences to achieve mutually beneficial cooperation. Moreover, it emphasizes the significance of innovation, industrial upgrading, and international collaborations for China's economic development amid the ongoing trade war.By presenting a comprehensive examination of the US-China trade war and its implications, this paper contributes to a deeper understanding of the global economic landscape and the critical need for constructive engagement between major economies.

The Lagrangian Formulation for Wave Motion with a Shear Current and Surface Tension

The Lagrangian Formulation for Wave Motion with a Shear Current and Surface Tension

Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods

Acoustic emission (AE) technology is widely used to monitor the damage evolution of rock. Identifying AE signals is crucial to reveal the rock cracking mechanism. The current tension and shear signal discrimination methods primarily rely on AE parameters. However, the differences between AE parameters and waveform images used as inputs require further exploration. Acoustic emission data from Brazilian splitting and direct shear tests of red sandstone were collected. A decision tree was applied to classify the signals based on the AE parameters: Rise time (RT), Counts, Amplitude, Peak frequency (PF), and absolute energy. Three typical CNN-based networks (InceptionV3, ResNet50, and VGG19) were used to classify the AE signals using images of waveforms, reconfigured waveforms, and spectrograms generated by wavelet packets. The results showed that using AE parameters as input to distinguish tensile and shear signals yields an accuracy of up to 88%, increasing recognition accuracy when using PF as input. In addition, increasing the number of input parameters to the decision tree can improve average recognition accuracy, with single, double, and three parameters being 65%, 78%, and 82%, respectively. However, when the number of parameters exceeds three, the accuracy improvement is minimal, with four and five parameters being 84% and 86%, respectively. The CNN-based networks outperform the decision tree in terms of recognition accuracy. It is recommended that the VGG19 network and waveform are adopted as input to identify the tension and shear AE signals. In contrast, using the spectrogram as input enhances the stability of the model, particularly for the validation set, although the improvement is limited.

Control methodology for tensioned web considering thermal behavior in roll-to-roll manufacturing systems

The roll-to-roll manufacturing system is utilized for processing flexible webs into functional films, offering high productivity through continuous multi-stage processing. In the converting span, which encompasses coating, printing, and drying processes, precise tension control and appropriate tension settings are crucial to ensure the quality of the final product. Particularly during the drying process, where solvent removal occurs, thermal deformation of the web induces additional elongation, amplifying the impact of tension on coating layer quality and printing patterns. Consequently, the drying process necessitates more accurate tension control compared to other span, necessitating the application of feedforward control that considers web thermal deformation. However, the current tension control logic employs an imprecise temperature distribution within the dry span as an input, resulting in inadequate tension control performance and defects such as uneven coating layers and registration errors. This research presents the development of a feedforward tension controller that employs Finite Element Method (FEM)-based web temperature distribution inputs to enhance tension control performance during the drying span. The tension control performance was compared and analyzed based on the drying span web temperature prediction method, affirming that higher accuracy in predicting the web temperature distribution leads to improved tension control performance. Experimental results from an industrial-scale roll-to-roll system demonstrate that the proposed model enhances tension control accuracy during the drying process by 27.76% compared to the existing control logic. Furthermore, the effectiveness of the tension control logic in enhancing the surface quality of functional layers was confirmed through surface quality analysis using solid oxide fuel cell (SOFC) electrolyte layers.

CHALLENGES AND OPPORTUNITIES OF THE 2022 G20 SUMMIT IN STRENGTHENING PREVENTION, PREPAREDNESS, AND RESPONSE (PPR) FINANCING AS A PART OF GLOBAL HEALTH ARCHITECTURE RESTRUCTURATION

Restructuring and strengthening the framework of Global Health Architecture (GHA) is one of the significant agendas raised at the 2022 G20 Summit held in Bali, Indonesia. One of the identified motivations behind this initiative concerns the gap in the prevention, preparedness, and response (PPR) financing policy and its sustainability. This problem generates inequity in the global health system–especially experienced by the low- and mid-income countries (LMICs)–and hinders the effort to comprehensively mitigate the impacts the threats have caused, such as from the current COVID-19 outbreak. Consequently, these countries are struggling due to their inability to acquire healthcare resources such as health infrastructures, vaccine access, and human resources. To understand how the 2022 G20 forum could contribute to restructuring and strengthening the architecture, this paper investigates the upcoming summit's potential challenges and opportunities in restructuring the GHA framework to close the gap in financing PPR and creating an equal global health system. In doing so, this article will apply desk study by collecting information from secondary data sources. One of the potential opportunities is to strengthen global health multilateralism through the G20 members' active engagement in the financial intermediary fund (FIF) platform. However, there is also a significant challenge regarding the current global solidarity and political tension. Therefore, the forum must consider these notions to create a more robust and sustained financial policy to strengthen the architecture.

X-ray analysis of welding parameters influence on pressure vessel steel P355 N

The paper presents a study on the influence of welding parameters that is done by radiographic interpretation of the X-ray analysis results collected from welded joins that had been realized by varying the welding current intensity, tension and welding speed. The base material of the experiment is a pressure vessel steel P355 N used for constructing railway tanks for transporting liquids by train. The welding method used is flux-cored arc welding, done by a semi-automatic welding machine using welding wire as joining material. The research aims to find connections between different material welding defects and the welding parameters involved in the process of flux-cored arc welding.