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Using a person-oriented approach with a broad sample of 200 employees across several sectors, we identified four victim subgroups sharing similar configurations of frequency and severity of aggression: high–high (high levels of frequency and severity; 15%), moderate–moderate (moderate levels of frequency and severity; 15%), high–low (high frequency but low severity; 26.5%), and low–low (lowest levels of frequency and severity; 43%). Further, we examined the relationship between victim groups, social demographics, and victim disposition. The results showed that women, young, and lower-tenured employees are at risk of belonging to the high–high victim group. In addition, employees with high negative affect and psychopathy traits are at risk of belonging to the high–high victim group. Drawing upon learned helplessness theory, we examined whether victim groups differed concerning internalizing problems. Results suggest that high–high group victims experienced the highest anxiety, loss of confidence, and social dysfunction, whereas low–low group members experienced the lowest levels.

Arthritis is one of the main clusters of long-lasting musculoskeletal and joint disorders. Recently, there has been increasing interest in the impact of arthritis patients’ mental health, which has mainly focused on depression and anxiety in clinical samples. However, much less is known about how domains of mental health based on the widely used 12-item version of the general health survey (GHQ-12) are affected by arthritis. The current research answered this question using confirmatory factor analysis, general linear models, and one-sample t-tests on a nationally representative sample from the United Kingdom with 5588 arthritis patients and 8794 participants indicating that they were not clinically diagnosed with arthritis. The current study found that (1) a total of three factors of GHQ-12 that are labeled GHQ-12A (social dysfunction and anhedonia; six items), GHQ-12B (depression and anxiety; four items), and GHQ-12C (loss of confidence; two items), and (2) both the global mental health and dimensions of mental health are negatively affected by arthritis. Clinicians could use the results from the present study to make better treatment decisions for patients with arthritis.

Objective: The objective of the current study is to investigate how general and dimensions of mental health are affected by multiple sclerosis (MS). Methods: Factor analysis, generalized linear models, and one-sample t-tests were used to analyze data from 78 people with MS with a mean age of 52.19 (S.D. = 12.94) years old and 25.64% males and 38,516 people without MS with a mean age of 49.10 (S.D. = 18.24) years old and 44.27% males from Understanding Society. Results: The current study found that there are three underlying factors of the GHQ-12 labeled as GHQ-12A (social dysfunction and anhedonia; 6 items), GHQ-12B (depression and anxiety; 4 items), and GHQ-12C (loss of confidence; 2 items), and the general mental health, GHQ-12A (social dysfunction and anhedonia), and GHQ-12C (loss of confidence) are associated with MS. Conclusions: Effective mental health management in MS patients is important given mental health in people with MS is linked to the onset of MS and exacerbating disease progression/relapses.

The intensity of the crisis in financial markets has surprised nearly everyone. The authors search out the root causes of the crisis, distinguishing them from scapegoating explanations that have been used in policy circles to divert attention from the underlying breakdown of incentives. Incentive conflicts explain how securitization went wrong, why credit ratings proved so inaccurate, and why it is superficial to blame the crisis on mark-to-market accounting, an unexpected loss of liquidity, trends in globalization, and deregulation in financial markets. The authors' analysis finds disturbing implications of the crisis for Basel II and its implementation. They conclude by drawing out lessons for developing countries and identifying reforms that would improve incentives by increasing transparency and accountability in government and industry alike.

Liberia's experience with a dual currency regime, with the U.S. dollar enjoying legal tender status, dates to its founding as a sovereign country in 1847. Following the end of the most recent episode of civil war in late-2003, the new government has expressed interest in strengthening the role of the Liberian dollar. Liberia, however, is heavily dollarized, with the U.S. dollar estimated to account for about 90 percent of money supply. Cross-country experience suggests that dollarization does not preclude monetary policy from achieving its primary objective of price stability, and that successful and lasting dedollarization may be difficult to achieve.

Underwater target detection plays an important role in ocean exploration, to which the improvement of relevant technology is of much practical significance. Although existing target detection algorithms have achieved excellent performance on land, they often fail to achieve satisfactory outcome of detection when in the underwater environment. In this paper, one of the most advanced target detection algorithms, YOLOv5 (You Only Look Once), was first applied in the underwater environment before being improved by combining it with some methods characteristic of the underwater environment. To be specific, the Swin Transformer was treated as the basic backbone network of YOLOv5, which makes the network suitable for those underwater images with blurred targets. It is possible for the network to focus on fusing the relatively important resolution features by improving the method of path aggregation network (PANet) for multi-scale feature fusion. The confidence loss function was improved on the basis of different detection layers, with the network biased to learn high-quality positive anchor boxes and make the network more capable of detecting the target. As suggested by the experimental results, the improved network model is effective in detecting underwater targets, with the mean average precision (mAP) reaching 87.2%, which makes it advantageous over general target detection models and fit for use in the complex underwater environment.

This paper combines financial soundness indicators (FSIs) and stress-testing methodologies to provide a broad assessment of the soundness of Venezuela's banking sector, based on a diagnosis of its structural and transient shortcomings. While the Venezuelan banking sector appears sound under current favorable economic conditions, it remains significantly vulnerable to cyclical downturns-which have been severe in the past. Banks are particularly exposed to interest rate and credit risks. This suggests that the strong FSIs may be partly the result of a conjunctural credit boom in the context of capital controls and very low real interest rates.

This paper discusses whether adopting the U.S. dollar as the sole legal tender could help Liberia, a postconflict economy, to boost growth and strengthen fiscal discipline. In view of the performance of exchange rate regimes in many countries and Liberia's own experience with dollarization, we conclude that Liberia should not adopt full dollarization for the following reasons: (i) the alleged benefits voiced by the proponents of dollarization, in terms of enhanced fiscal discipline and faster economic growth, are not supported by the empirical evidence; (ii) dollarization would increase the Liberian economy's vulnerability to external shocks and Liberia's social fragility; (iii) banks in fully dollarized economies face additional capitalization requirements that Liberian banks cannot meet at present; and (iv) dollarization would be costly in terms of real resources because of the loss of seigniorage.