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Binge-eating disorder (BED) is a type of eating disorder characterized by recurrent episodes of binge eating. Patients with BED have recurrent impulsive and out-of-controlled binge eating behavior, which can lead to gastrointestinal disorders, obesity, and the resulting metabolic and functional disorders of various systems and other physical problems; and it is also often co-morbid with affective disorder, anxiety disorders, substance use disorders, and other mental disorders, which need to be taken seriously. However, the recognition of BED in China was late, and it is difficult to achieve early identification and diagnosis, resulting in a prolonged course of disease. Therefore, under the organization of the Eating Disorders Coordination Group of the Psychosomatic Medicine Society of the Chinese Medical Association, together with the Eating Disorders Research Collaboration Group of the Psychiatric Medicine Society of the Chinese Medical Association, an expert group composed of 15 psychiatrists and evidence-based medicine experts, and 2 internal medicine experts, formulated this expert consensus based on evidence-based medical evidence, domestic and foreign guidelines and expert consensus, and expert experiences. The aim of this study is to improve the recognition, diagnosis and treatment of BED by psychiatrists, internists and general practitioners in China.

Anorexia nervosa (AN) is a type of eating disorders characterized by self-starvation, significant loss of body mass, and malnutrition. AN has the highest mortality rate among all psychiatric disorders, leading to severe psychopathologic symptoms and life-threatening medical complications. However, AN cannot be recognized and diagnosed early in China, resulting in a prolonged course of the disease. Therefore, under the organization of the Eating Disorders Coordination Group of the Psychosomatic Medicine Society of the Chinese Medical Association, together with the Eating Disorders Research Collaboration Group of the Psychiatric Medicine Society of the Chinese Medical Association, this expert consensus was formulated by 16 medical experts based on evidence-based medical evidence, domestic and international guidelines and expert consensus, expert experience, etc., in order to improve the recognition, diagnosis and treatment of AN among domestic professionals.

Bulimia nervosa is a type of eating disorders characterized by recurrent binge eating and compensatory behaviors to prevent weight gain, as well as excessive concern about body shape and mass. The patients with bulimia nervosa present with disturbed eating behavior, resulting in electrolyte abnormalities, gastrointestinal disorders, metabolic and endocrine disorders and other physical problems; secondly, the bulimia nervosa patients are often co-morbid with a variety of mental disorders such as bipolar disorder, depression, substance use disorders, which need to be taken seriously. However, bulimia nervosa and even eating disorders cannot be recognized and diagnosed at an early stage in China, which leads to a prolonged course of the disease. Therefore, under the organization of the Eating Disorders Coordination Group of the Psychosomatic Medicine Society of the Chinese Medical Association, in conjunction with the Eating Disorders Research Collaboration Group of the Psychiatric Medicine Society of the Chinese Medical Association, this expert consensus was formulated by 12 experts in the field of psychiatry and evidence-based medicine based on evidence-based medicine, domestic and foreign guidelines and expert consensus and expert experience, in order to improve the recognition, diagnosis and treatment of bulimia nervosa by psychiatric professionals and general practitioners in China.

In order to improve the detection accuracy of CO2 and other gases in the flue gas emitted from thermal power plants, a CO2 concentration detection model based on tunable semiconductor laser absorption spectroscopy was proposed. First, a variational mode decomposition model was used to filter the harmonic signal after removing the outliers to reduce the influence of noise on the detection results. Suitable absorption lines and concentration characteristics were then selected according to the gas absorption properties and correlation theory. Finally, the CO2 concentration inversion was completed using long short-term memory networks, and a Bayesian optimization algorithm was introduced to optimize the hyperparameters of the network. The experimental results showed that the R 2 and RMSE of the test set were 0.998 84 and 0.116 08, respectively, in the concentration range of 1%–12%. In addition, the Allan analysis of variance revealed that the maximum measurement error of CO2 was only 0.005 619% when the integration time was 38 s. Compared to the traditional CO2 detection schemes, the detection accuracy and stability are significantly improved, which provides a feasible scheme for flue gas detection in thermal power plants. [ABSTRACT FROM AUTHOR]

Hypoxic and acidic environments are the two main components of the microenvironment contributing to the poor efficacy of chemotherapy drugs in the treatment of oral squamous cell carcinoma (OSCC). In this study, we synthesized a series of Zn 1- x Mg x Fe 2 O 4 nanomaterials with enzyme-like properties, including catalase (CAT)-like, peroxidase (POD)-like, and glutathione (GSH)-like activity in an acidic environment. Among them, Zn 0.4 Mg 0.6 Fe 2 O 4 performed the best and effectively increased the efficacy of doxorubicin (DOX) chemotherapy for the treatment of OSCC with reduced cardiotoxicity. Therefore, Zn 0.4 Mg 0.6 Fe 2 O 4 could serve as a novel chemosensitizer in the treatment of OSCC., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (This journal is © The Royal Society of Chemistry.)