The potential for cascading failures in the international trade network.

In our study, we introduce indicators that quantify the influence of each country in complex trade scenarios involving the exchange of raw materials, intermediate goods, and final products across multiple countries. We systematically employ an agent-based model to simulate the propagation of failures from one node to the entire network. This approach allows for the assessment of the impact of each country and the identification of patterns of interaction in the multi-step trade network. Unlike conventional analyses of trade networks, which depict straightforward single-step import/export transactions, our approach captures the intricate realities of processes like raw material procurement, production, and sales in numerous countries from a macroscopic perspective. The findings of our analysis of trade data spanning from 1990 to 2022 reveal several key insights. Firstly, sensitivity to changes in trade volume leading to global failures within interconnected networks has intensified over time. The potential of failure propagation across countries has increased over time, as has the interconnectedness of countries in the global trade landscape. Secondly, despite the increased sensitivity to changes in global trade volume, many countries have become less vulnerable to the influence of others within their multi-step trade networks. This trend aligns with deglobalization, which is evidenced by events such as Brexit and the surge in protectionist measures; these changes indicate a shift in the balance of influence within global trade networks. Thirdly, the results of our analysis of the relationship between load changes and global failures from a regional perspective reveal an intriguing phenomenon: despite limited direct trade connectivity, the interaction between the Latin American and Sub-Saharan African regions is considerable. This suggests the existence of hidden connections between intermediary countries, such that one region's actions can alter the load sensitivity of another, impacting them in unforeseen ways. Furthermore, intra-regional interactions are diminishing in East Asia, while Europe is experiencing a gradual increase in interactions. These trends reflect evolving regional influence, the dynamics of geographic proximity, and the results of economic integration efforts. Additionally, even though the observed period was not long enough to confirm a long-term trend, the previous trend direction was affirmed to persist despite a temporary decrease in trading and reduced sensitivity due to the COVID-19 pandemic. Our study highlights the complexity of global trade dynamics and the need to consider multi-step trade networks and their potential cascading effects when analyzing trade patterns and vulnerabilities.

Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering.

BACKGROUND: To obtain phase-contrast X-ray images, single-grid imaging systems are effective, but Moire artifacts remain a significant issue. The solution for removing Moire artifacts from an image is grid rotation, which can distinguish between these artifacts and sample information within the Fourier space. However, the mechanical movement of grid rotation is slower than the real-time change in Moire artifacts. Thus, Moire artifacts generated during real-time imaging cannot be removed using grid rotation. To overcome this problem, we propose an effective method to obtain phase-contrast X-ray images using instantaneous frequency and noise filtering. RESULT: The proposed phase-contrast X-ray image using instantaneous frequency and noise filtering effectively suppressed noise with Moire patterns. The proposed method also preserved the clear edge of the inner and outer boundaries and internal anatomical information from the biological sample, outperforming conventional Fourier analysis-based methods, including absorption, scattering, and phase-contrast X-ray images. In particular, when comparing the phase information for the proposed method with the x-axis gradient image from the absorption image, the proposed method correctly distinguished two different types of soft tissue and the detailed information, while the latter method did not. CONCLUSION: This study successfully achieved a significant improvement in image quality for phase-contrast X-ray images using instantaneous frequency and noise filtering. This study can provide a foundation for real-time bio-imaging research using three-dimensional computed tomography.

Correction: Navigating optimal treaty-shopping routes using a multiplex network model.

[This corrects the article DOI: 10.1371/journal.pone.0256764.].

Navigating optimal treaty-shopping routes using a multiplex network model.

The international tax treaty system is a highly integrated and complex network. In this system, many multinational enterprises (MNEs) explore ways of reducing taxes by choosing optimal detour routes. Treaty abuse by these MNEs causes significant loss of tax revenues for many countries, but there is no systematic way of regulating their actions. However, it may be helpful to find a way of detecting the optimal routes by which MNEs avoid taxes and observe the effects of this behavior. In this paper, we investigate the international tax treaty network system of foreign investment channels based on real data and introduce a novel measure of tax-routing centrality and other centralities via network analysis. Our analysis of tax routing in a multiplex network reveals not only various tax-minimizing routes and their rates, but also new paths which cannot be found by navigating a single network layer. In addition, we identify strongly connected components of the multiplex tax treaty system with minimal tax shopping routes; more than 80 countries are included in this system. This means that there are far more pathways to be observed than can be detected on any given individual single layer. We provide a unified framework for analyzing the international tax treaty system and observing the effects of tax avoidance by MNEs.

The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions.

Patellofemoral pain (PFP) is commonly caused by abnormal pressure on the knee due to excessive load while standing, squatting, or going up or down stairs. To better understand the pathophysiology of PFP, we conducted a noninvasive patellar tracking study using a C-arm computed tomography (CT) scanner to assess the non-weight-bearing condition at 0° knee flexion (NWB0°) in supine, weight-bearing at 0° (WB0°) when upright, and at 30° (WB30°) in a squat. Three-dimensional (3D) CT images were obtained from patients with PFP (12 women, 6 men; mean age, 31 ± 9 years; mean weight, 68 ± 9 kg) and control subjects (8 women, 10 men; mean age, 39 ± 15 years; mean weight, 71 ± 13 kg). Six 3D-landmarks on the patella and femur were used to establish a joint coordinate system (JCS) and kinematic degrees of freedom (DoF) values on the JCS were obtained: patellar tilt (PT, °), patellar flexion (PF, °), patellar rotation (PR, °), patellar lateral-medial shift (PTx, mm), patellar proximal-distal shift (PTy, mm), and patellar anterior-posterior shift (PTz, mm). Tests for statistical significance (p < 0.05) showed that the PF during WB30°, the PTy during NWB0°, and the PTz during NWB0°, WB0°, and WB30° showed clear differences between the patients with PFP and healthy controls. In particular, the PF during WB30° (17.62°, extension) and the PTz during WB0° (72.5‬0 mm, posterior) had the largest rotational and translational differences (JCS Δ = patients with PFP-controls), respectively. The JCS coordinates with statistically significant difference can serve as key biomarkers of patellar motion when evaluating a patient suspected of having PFP. The proposed method could reveal diagnostic biomarkers for accurately identifying PFP patients and be an effective addition to clinical diagnosis before surgery and to help plan rehabilitation strategies.

Effects of Remote Monitoring of Blood Pressure in Management of Urban Hypertensive Patients: A Systematic Review and Meta-Analysis.

Background:Remote home blood pressure monitoring (RBPM) has been shown as effective in managing hypertension in underserved areas. Effects on urban patients, who are more easily provided with high-quality medical services, are still unclear. We systematically review previously published randomized controlled trials on the effect of RBPM for urban hypertensive patients.Methods:We searched electronic databases for studies published in English up to October 2018. Studies comparing the use of RBPM to face-to-face care were included. Outcome measures were changes in office blood pressure (BP) and the rate of BP control.Results:We identified 1,433 potential references for screening, of which 27 were eligible for review. Substantial heterogeneity was evident for the investigated variables. A significant standardized mean difference (SMD) was observed for RBPM for systolic BP, but the effect size was small compared to face-to-face care and was clinically irrelevant in avoiding cardiovascular events (0.212, 95% confidence interval 0.148-0.275; p < 0.001). For diastolic BP, the SMD between the two groups was small (0.170, p < 0.001) and the effect of RBPM was irrelevant in preventing cardiovascular events. The effect on the rate of BP control was significantly high for the intervention group (relative risk: 1.136; p = 0.018).Conclusions:This review demonstrates that RBPM performed on urban hypertensive patients has limited value and seems not to be superior to ordinary care in avoidance of cardiovascular events. Further studies are needed to provide more reliable information about the effectiveness of RBPM in preventing hypertensive cardiovascular complications.

Understanding Moderators of Home Blood Pressure Telemonitoring Systems in Urban Hypertensive Patients: A Systematic Review and Meta-Analysis.

Background: Factors affecting the effectiveness of telemonitoring in home blood pressure telemonitoring (HBPT) must be examined in an integrated analysis in urban hypertensive patients. Materials and Methods: In a systematic review of electronic databases, we retrieved 1,433 citations and selected 34 comparisons. Specified moderators were the duration of the intervention, the frequency of remote transmission of blood pressure (BP) data, the additional intervention, and the intervention pathway. Results: For the duration of follow-up of HBPT, the weighted mean difference (WMD) in systolic blood pressure (SBP) between two groups was 11.900 mmHg (p-value <0.001) at 2 months and 3.024 mmHg (p = 0.002) at 12 months. The WMD in SBP was 5.512 mmHg (p < 0.001) in cases where data were transmitted daily and 1.818 mmHg (p = 0.084) for monthly transmission. For the group in which further interventions with HBPT were conducted, the WMD in SBP was 3.813 mmHg (p < 0.001). For patients who did not receive additional interventions, the WMD was 2.747 mmHg (p = 0.005). For the pathway of HBPT, the WMD was 6.800 mmHg (p = 0.053) when BP values were remote transmitted through letter, 3.041 mmHg (p = 0.001) through mobile phone/web, 2.224 mmHg (p = 0.043) through telephone-linked computer system, and 4.352 mmHg (p < 0.001) through telephone. Conclusions: The effects of moderators of HBPT systems utilized with urban hypertensive patients differ from those in interventions that did not distinguish urban from rural areas. Results for duration of implementation and frequency of data transmission were significant. Among the interventions using telecommunications, the telephone was the most effective in comparison to other channels.

Network structure reveals patterns of legal complexity in human society: The case of the Constitutional legal network.

Complexity in nature has been broadly found not only in physical and biological systems but also in social and economic systems. Although many studies have examined complex systems and helped us understand real-world complexity, the investigation to the legal complexity has not been thoroughly investigated. Here we introduce a novel approach to studying complex legal systems using complex network approaches. On the basis of the bipartite relations among Constitution articles and Court decisions, we built a complex legal network and found the system shows the heterogeneous structure as generally observed in many complex social systems. By treating legal networks as unique political regimes, we examine whether structural properties of the systems have been influenced as the society changes, or not. On one hand, there is a core structure in all legal networks regardless of any social circumstances. On the other hand, with relative comparison among different regimes' networks, we could identify characteristic structural properties that reveal their identity. Our analysis would contribute to provide a better understanding of legal complexity and practical guidelines for use in various legal and social applications.

Stakeholders' resistance to telemedicine with focus on physicians: Utilizing the Delphi technique.

INTRODUCTION: Sufficient infrastructure for information and communications technology (ICT) and a well-established policy are necessary factors for smooth implementation of telemedicine. However, despite these necessary conditions being met, there are situations where telemedicine still fails to be accepted as a system due to the low receptivity of stakeholders. In this study, we analyse stakeholders' resistance to an organization's implementation of telemedicine. Focusing on the physicians' interests, we propose a strategy to minimize conflicts and improve acceptance. METHODS: The Delphi study involved 190 telemedicine professionals who were recommended by 485 telemedicine-related personnel in South Korea. RESULTS: Out of 190 professionals, 60% of enrolled participants completed the final questionnaires. The stakeholders were categorized into four groups: policy-making officials, physicians, patients, and industrialists. Among these, the physicians were most opposed to the adoption of telemedicine. The main causes of such opposition were found to be the lack of a medical services delivery system and the threat of disruption for primary care clinics. Very little consensus was observed among the stakeholders, except on the following points: the need for expansion of the national health insurance budget by the government, and the need for enhancement of physicians' professional autonomy to facilitate smooth agreements. DISCUSSION: Our analysis on the causes of the resistance to telemedicine, carried out with the groups mentioned above, has important implications for policy-makers deriving strategies to achieve an appropriate consensus.

Impact of the topology of global macroeconomic network on the spreading of economic crises.

Throughout economic history, the global economy has experienced recurring crises. The persistent recurrence of such economic crises calls for an understanding of their generic features rather than treating them as singular events. The global economic system is a highly complex system and can best be viewed in terms of a network of interacting macroeconomic agents. In this regard, from the perspective of collective network dynamics, here we explore how the topology of the global macroeconomic network affects the patterns of spreading of economic crises. Using a simple toy model of crisis spreading, we demonstrate that an individual country's role in crisis spreading is not only dependent on its gross macroeconomic capacities, but also on its local and global connectivity profile in the context of the world economic network. We find that on one hand clustering of weak links at the regional scale can significantly aggravate the spread of crises, but on the other hand the current network structure at the global scale harbors higher tolerance of extreme crises compared to more "globalized" random networks. These results suggest that there can be a potential hidden cost in the ongoing globalization movement towards establishing less-constrained, trans-regional economic links between countries, by increasing vulnerability of the global economic system to extreme crises.

Quantitative and empirical demonstration of the Matthew effect in a study of career longevity.

The Matthew effect refers to the adage written some two-thousand years ago in the Gospel of St. Matthew: "For to all those who have, more will be given." Even two millennia later, this idiom is used by sociologists to qualitatively describe the dynamics of individual progress and the interplay between status and reward. Quantitative studies of professional careers are traditionally limited by the difficulty in measuring progress and the lack of data on individual careers. However, in some professions, there are well-defined metrics that quantify career longevity, success, and prowess, which together contribute to the overall success rating for an individual employee. Here we demonstrate testable evidence of the age-old Matthew "rich get richer" effect, wherein the longevity and past success of an individual lead to a cumulative advantage in further developing his or her career. We develop an exactly solvable stochastic career progress model that quantitatively incorporates the Matthew effect and validate our model predictions for several competitive professions. We test our model on the careers of 400,000 scientists using data from six high-impact journals and further confirm our findings by testing the model on the careers of more than 20,000 athletes in four sports leagues. Our model highlights the importance of early career development, showing that many careers are stunted by the relative disadvantage associated with inexperience.

Scaling exponents and transition behavior of the generalized conserved lattice gas model at zero temperature.

We study a generalized conserved lattice gas model in two dimensions by introducing an effective temperature to the conserved lattice gas model, where the number of particles is conserved during the dynamical process. We apply Monte Carlo simulation with the Metropolis transition rate. At zero temperature we find two transition behaviors; one between the localized active states and absorbing states and the other between the localized active states and active states. With a different definition of the order parameter for the second transition behavior, we obtain the critical exponents at the transition point.

Existence of an upper critical dimension in the majority voter model.

We study the critical properties of the majority voter model on d -dimensional hypercubic lattices. In two dimensions, the majority voter model belongs to the same universality class as that of the Ising model. However, the critical behaviors of the majority voter model on four dimensions do not exhibit mean-field behavior. Using the Monte Carlo simulation on d -dimensional hypercubic lattices, we obtain the critical exponents up to d=7 , and find that the upper critical dimension is 6 for the majority voter model. We also confirm our results using mean-field calculation.

Critical behavior of the majority voter model is independent of transition rates.

We study the critical properties of the majority voter model by using two different transition rates: the Glauber rate and the Metropolis rate. The model with the Glauber rate has been found to be mapped to the majority voter model with noise [de Oliveira, J. Stat. Phys. 66, 273 (1992)]. The critical temperature and the critical exponents for the two transition rates are obtained from a Monte Carlo simulation with a finite size scaling analysis. The critical temperature is found to depend on the transition rate, but the critical exponents do not. The values of the critical exponents obtained indicate that the model belongs to the same universality class as the Ising model, regardless of the type of transition rate.

Critical behavior of the XY model on growing scale-free networks.

Applying the histogram reweighting method, we investigate the critical behavior of the XY model on growing scale-free networks with various degree exponents lambda. For lambda < or = 3 , the critical temperature diverges as it does for the Ising model on scale-free networks. For lambda=8 , on the other hand, we observe a second-order phase transition at finite temperature. We obtain the critical temperature T{c}=3.08(2) and the critical exponents nu=2.62(3) , gammanu=0.127(4) , and betanu=0.442(2) from a finite-size scaling analysis.

Sub-block order parameter in a driven Ising lattice gas using block distribution functions.

We investigate the order parameter of the standard Ising lattice gas and driven Ising lattice gas models. The sub-block order parameter is introduced to these conserved models as an order parameter using block distribution functions. We also introduce the sub-block order parameter of damage using the block distribution functions of damage. We measure the sub-block order parameters using the Metropolis and heat-bath rates. These order parameters work well for the non-equilibrium-conserved model as well as the equilibrium-conserved model. We obtain the critical exponent of order parameter beta=1/8 for the standard Ising lattice gas and beta=1/2 for a driven Ising lattice gas using the Metropolis and heat-bath rates.