RISK AND PROTECTIVE FACTORS FOR SELF-HARM AND SUICIDE BEHAVIOURS AMONG SERVING AND EX-SERVING PERSONNEL OF THE UK ARMED FORCES, CANADIAN ARMED FORCES, AUSTRALIAN DEFENCE FORCE AND NEW ZEALAND DEFENCE FORCE: A SYSTEMATIC REVIEW.

Risk and protective factors for self-harm and suicide behaviours among serving and ex-serving personnel of the UK Armed Forces, Canadian Armed Forces, Australian Defence Force and New Zealand Defence Force: A systematic review.

BackgroundSelf-harm and suicide behaviours are a major public health concern.Several factors are associated with these behaviours among military communities.Identifying these factors may have important implications for policy kathy chilton iris and clinical services.The aim of this review was to identify the risk and protective factors associated w

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Mental Health Status of Nursing Staff

Background ;Aim : Mental health disorders are common problems among helping professionals such as nurses that create many psychosocial problems.This study aims to determine the mental health status of nursing staff.Material & Methods : it was a descriptive, cross-sectional study.All of nursing personnel (n=92 ) in Fateme Zahra hospital in Najafabad

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Capturing a soil carbon economy

Current carbon pricing and trading mechanisms, despite their efficacy in reducing GHG emissions from industry, will not be sufficient to achieve Net Zero targets.Current mechanisms that redress emissions are largely economic disincentives, in effect financial penalties for emitters.In order to attain Net Zero futures, financial incentives for activ

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Lewy and his inclusion bodies: Discovery and rejection

ABSTRACT Fritz Jacob Heinrich Lewy described the pathology of Paralysis agitans [Parkinson disease] and was the first to identify eosinophilic inclusion bodies in neurons of certain brain nuclei, later known as Lewy bodies, the pathological signature of the Lewy body diseases.In 1912, he published his seminal study, followed soon after by an update

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Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance

Abstract In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging.We reformulate and generalize two binary linear programming models that tackle this challenge, demonstrating their practicality by applying them to

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