Aim: Low professional help-seeking intention (PHSI) hinders effective treatment of mental illness. PHSI among Chinese students is still understudied and under-recognized. This study aimed to evaluate the status of PHSI and its associated risk factors among Chinese medical students. -/- Methods: A cross-sectional survey was conducted in Hainan province, South China, between January 1, 2021, and May 31, 2021. A total of 2182 medical students were recruited and surveyed via an anonymous structured questionnaire. Logistic regression analyses were performed to identify (...) the factors associated with PHSI. -/- Results: Among the 2182 medical students (mean age 21.0 years (SD = 3.70), 61.5% females), those with and without PHSI were 72.0% and 28.0%, and 16.4% with moderate to severe depression. Male students, those with a high level of depression stigma, serious family dysfunction, and heavy dependence on mobile phones were significantly less likely to seek professional mental health help, with odds ratios (ORs) of 1.5, 2.0, 2.1, and 1.7, respectively. -/- Conclusion: A significant proportion of Chinese medical students demonstrate low PHSI, influenced by factors such as gender, depression stigma, family dysfunction, and mobile phone dependence. Future interventions aimed at increasing medical students’ PHSI should prioritize reducing depression stigma, mitigating reliance on mobile phone use, and enhancing family function to address these key barriers to seeking professional mental health support. (shrink)

This paper may have completed two seemingly impossible tasks: The unity of science and the unification of all knowledge. We have specified the unity of science on four aspects: 1) The common property of everything is logicality and logicality’s non-absoluteness. So, we call this the intrinsicality of nature; 2) The ultimate force of everything is called the “General Impact of Nature” (GIN). GIN is not only to unify the four basic forces, but also to explain life phenomena, especially conscious phenomena; (...) 3) We have also discovered the “architect of everything”, with two concepts and each in three points. So, we can study all things with them; 4) We have developed a “general model of nature” to host everything, and it has particularly described consciousness in physics, biology, and information processing. This unity of science has been developed further and unified all knowledge in seven points. And this paper has confirmed reductionism and neutral monism in particular. (shrink)

This paper presents the unification of all knowledge and the framework of all sciences, so it goes the theory of consciousness, the method to measure consciousness, and the three keys of the Strong AI. “Logicality and non-absoluteness” is found out to be the intrinsicality of nature, so the “Fundamental Law of Nature” is discovered. Then, the “general methodology of research” and the “model system of nature” are developed to explain everything, especially consciousness. The Coupling Theory of Consciousness tells that nature (...) has the MFEs (More Fundamental Element) that couple to show as material and consciousness, and the brain has a CNS (central nervous system)-independent consciousness system that couples to give off the consciousness signals, with their three excitation levels to show as memory, sub-consciousness, and subjective consciousness. As consciousness is not from neurons, the method to measure consciousness via NCC (neural correlates of consciousness) is to find out participants with the same kinds of consciousness systems. And make them to produce paralleled “conscious information processes” to filtrate out the “noise” neural activities, to obtain the “real” NCC data. Examining the property of consciousness may advance not only neuroscience and physics, but also cognitive science and AI technology. First, the “conscious information processing” model has shown that the Strong AI should process the beyond-domain concepts with a self-controlled intention, second, as the “general methodology of research” is just the other name of the “principle of cognition”, we have already known the running style of the Strong AI. Hopefully, we could develop the Strong AI technology to upgrade human civilization very soon. (shrink)

This article aims to unify all scientific theories based on the concept of “intrinsicality of nature”, including the fundamental theories in physics. First, the general property within existing natural phenomena, say “intrinsicality of nature”, was deduced as “logicality” and "imperfectness". Then, the identical intrinsicality was deduced out for the science to unify all scientific theories. Finally, with this intrinsicality and the novelties of consciousness, the unification of physics theories, say Theory of Everything, was framed by a physical model of more (...) fundamental element (MFE), which had managed to cover the concepts of quantum mechanics, general relativity, and the physics of consciousness altogether, to test this model of unification. Since the MFE is only a theoretical model, two methods were introduced for its experimental verification. While its application to explain yet unanswered questions in science was tested, and further verification of this model in a lab by measuring consciousness signals was discussed. (shrink)