The aim of this study was to explore the associations between burnout and occupational stress measured by demand-control support (DCS) and effort-reward imbalance (ERI) models among lawyers. Methods: This crosssectional study included 180 lawyers from 26 law firms in the Taipei Bar. The Chinese version of Karasek's job content questionnaire (C-JCQ) and the Chinese version of Siegrist's ERI questionnaire (C-ERI) were used to measure occupational stress, and the Chinese version of the Copenhagen Burnout Inventory (C-CBI) questionnaire was used to measure personal, workrelated and client-related burnout. Logistic regression analysis was used to determine the associations between burnout and lawyers' occupational stress and job specialty adjusting for age, gender, marital status, work experience, working hours per day, firm size and the significant occupational stress of each model for the other. Results: Lawyers reported relatively higher scores in job control, psychological demands and effort, and high prevalence of self-perceived work stress. Litigious lawyers had higher decision authority and workplace social support, higher work-related burnout and higher client-related burnout than non-litigious lawyers. Personal burnout and work-related burnout were associated with high psychological demands, effort, and effort-reward ratio. Conclusions: High occupational stress was associated with high levels of personal and work-related burnout among lawyers. (J Occup Health 2009; 51: 443-450)

Abstract. Hidden Markov Models are widely used in classical computer science to model stochastic processes with a wide range of applications. This paper concerns the quantum analogues of these machines -socalled Hidden Quantum Markov Models (HQMMs). Using the properties of Quantum Physics, HQMMs are able to generate more complex random output sequences than their classical counterparts, even when using the same number of internal states. They are therefore expected to find applications as quantum simulators of stochastic processes. Here, we emphasise that open quantum systems with instantaneous feedback are examples of HQMMs, thereby identifying a novel application of quantum feedback control.

Quantum teleportation enables networking participants to move an unknown quantum state between the nodes of a quantum network, and hence constitutes an essential element in constructing large-sale quantum processors with a quantum modular architecture. Herein, we propose two protocols for teleporting qubits through an N -node quantum network in a highly-entangled box-cluster state or chain-type cluster state. The proposed protocols are systematically scalable to an arbitrary finite number N and applicable to arbitrary size of modules. The protocol based on a box-cluster state is implemented on a 14-qubit IBM quantum computer for N up to 12. To identify faithful networking teleportation, namely that the elements on real devices required for the networking teleportation process are all qualified for achieving teleportation task, we quantify quantum-mechanical processes using a generic classical-process model through which any classical strategies of mimicry of teleportation can be ruled out. From the viewpoint of achieving a genuinely quantum-mechanical process, the present work provides a novel toolbox consisting of the networking teleportation protocols and the criteria for identifying faithful teleportation for universal quantum computers with modular architectures and facilitates further improvements in the reliability of quantum-information processing.

BackgroundIt has been widely understood that well-trained doctors are crucial for a high-quality public health system and safe patient care. Thus, in 2011, China initiated its first national residency training program, called the China Standardized Training for Resident Doctor (C-STRD), for medical graduates to prepare qualified doctors for the medical care system with increasing demands. So far, no studies have specifically address the prevalence of stress and its determinants among residents enrolled in the C-STRD.Participants and methodsThe research is performed in two stages. In stage I, the authors conducted a pilot study and met 112 C-STRD residents in person. Based on the preliminary data, a revised questionnaire was adopted in stage II, during which the authors conducted a multi-institutional, cross-sectional survey of 340 participants from 11 hospitals in Shanghai in a self-administered manner.ResultsThe results showed that C-STRD residents were overall under severe stress as their mean PSS score was 27.5 ± 4.9, which was higher than the threshold of high stress (PSS = 20). Specifically, the PSS score for the residents with Bachelor (MB), Master (MM) and Doctoral of Medicine (MD) educational degree were 26.6 ± 4.1, 27.8 ± 3.5 and 27.1 ± 5.2, respectively (P>0.05). Their stress was mainly associated with their financial income status and workload, as these two factors caused more severe burden than other listed stressors (P<0.05). Specially, the residents indicated that their montly payroll amout were as low as $590.2 ± 127 while no benefit package and allowance were given. Surprisingly, wage arrears up to 5.3 month were reported by 36 (10%) participants. Workload survey showed the residents has high work intensity and inadequate rest. Since no stress management program was provided, the majority of residents tended to cope their stress with unhealthy strategies, such as mesmerizing in TV/computer (88.2%) and overeating (59.7%).ConclusionThe C-STRD residents are at high risk of perceived stress. Although there was a difference in perception of stress for workload and career future among different educational degree owners, low financial income is the major stressor among all C-STRD residents. Unhealthy stress management strategies were adopted by all residents due to lack of appropriate stress-relieving intervention.

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