Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.

Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.

Chronic insomnia affects 10%–15% of the population, with one-third of Western adults struggling with sleep initiation or maintenance. Binaural beats, which involve two audio frequencies, have shown the potential for enhancing sleep and mood. This study examined the efficacy of customized binaural audio tracks generated using facial analysis software to treat chronic insomnia. Methods: A 45-minute personalized binaural beat audio session was delivered using the Spatial app and headband (SoundHealth) to 20 participants with moderate-to-severe insomnia, according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and Insomnia Severity Index (ISI) criteria, over four weeks in California. Statistical analysis (paired t-test and linear mixed modeling) was used to compare baseline ISI scores to posttreatment scores, with p<0.05 indicating significance. The study assumed 80% power and aimed to achieve a 7-point ISI reduction. Results: All participants completed the study with no adverse events or full protocol adherence. The cohort was 60% White, with a 3:1 female-to-male ratio and an average age of 51.9 years. The baseline ISI was 19.8, dropping to 8.5 after four weeks, showing an 11.3-point reduction (95% confidence interval [CI]: -15 to -7.6, p<0.001). Mixed modeling indicated a similar ISI decrease of 11.28 points (95% CI: -14.98 to -7.57, p<0.001). The treatment response rate was 70%. Conclusions: Customized binaural beats show promise for insomnia treatment, with no adverse effects and high adherence. Most participants improved to no insomnia or subthreshold insomnia. Further research is needed to validate these results using larger samples and to assess long-term effects.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Aim To analyze the risk factor of the cardiac rupture(CR)in patients with acute ST-segment eleva-tion myocardial infarction(STEMI).Based on this,the nomogram model of acute STEMI patients with CR was estab-lished.Methods Through Ningxia Medical University General Hospital's big data research platform and hospital in-formation system retrieval,5 412 patients with acute STEMI from January 2015 to December 2019 were continuously includ-ed in the study,of which 91 patients with CR were included as CR group;5 321 patients non-combined with CR were in-cluded as non-CR group.LASSO regression,univariate and multivariate Logistic regression were used to analyze the risk factors of CR in patients with acute STEMI,and the CR nomogram predictive model was established.The nomogram mod-el was validated and evaluated by using receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test and clinical decision curve analysis(DCA).Results LASSO regression results showed that age,female,hypertension history,first medical contact time,shock index,Killip grade,white blood cell count,d-dimer,lactic acid,anterior myocardial in-farction,β-blocker administration within 24 hours,angiotensin converting enzyme inhibitor/angiotensin receptor antagonist(ACEI/ARB)administration within 24 hours,emergency percutaneous coronary intervention(PCI)were 13 risk factors of CR(P＜0.05).The screened 13 risk factors were analyzed by univariate and multivariate Logistic regression,the results suggested that age,Killip grade,first medical contact time,white blood cell count,not undergoing emergency PCI and not taking ACEI/ARB drugs within 24 hours were the risk factors of CR in patients with acute STEMI.The acute STEMI with CR nomogram model was established according to the above 6 risk variables.The area under the ROC curve before and after the internal verification of the nomogram model was 0.946(95％CI:0.927～0.961),0.947(95％CI:0.927～0.959),and the sensitivity was 0.957 and 0.904,respectively,the specificity was 0.858 and 0.876,respectively,which indicated that the model had good discrimination degree.The Hosmer-Lemeshow test showed that the deviation between the predicted value and the observed value was not statistically significant(x2=12.70,P=0.122),indicating that the no-mogram model had a good calibration.The DCA curve indicated that the predictive probability threshold of the model was from 0.00 to 0.40,and the clinical net benefit was the highest,indicating that the model had good clinical efficacy.Conclusion The nomogram model established in this study has better distinction,calibration and clinical effectiveness.It can effectively predict the probability of acute STEMI with CR,and provide some help for clinical diagnosis and treat-ment,so as to reduce the incidence of CR.

Objective:To investigate whether endoplasmic reticulum transmembrane protein IRE1(encoded by Ern1)can modulate the immunogenicity and tumorigenicity of cancer cells and explore the underlying mechanism.Methods:Correlation between ERN1 expression and the overall survival of cancer patients was explored with public cancer databases.CRISPR-Cas9 technology was used to delete Ern1 in mouse tumor cell lines MCA205 and TC-1.By CCK-8,flow cytometry,ELISA,luciferase reporter systems,subcutaneous tumor models,prime-boost regimens,we analyzed impact of Ern1 on tumor cell proliferation in vitro and tumor growth in vivo,intratumoral immune cell composition,tunicamycin-induced immunogenic cell death and activation of anti-tumor effector T cells.The growth kinetics of Ern1-/-tumors was also monitored in Ifnar-/-mice.Results:ERN1 expression was found to be negatively correlated with the overall survival of cancer patients across multiple cancer types.Although Ern1 deficiency didn't affect tumor cell proliferation in vitro,it largely delayed tumor growth or caused spontaneous tumor regression in immune-competent mice.As compared to wild type counterparts,Ern1-/-tumors harbored much more neutrophils but significantly less CD4+T cells.Upon tunicamycin-induced endoplasmic reticulum stress,Ern1-/-cells were more vulnerable to cell death.Although Ern1-deficiency reduced HMGB1 release and calreticulin exposure,IFN-α/β secretion was increased,and strongly elevated type Ⅰ IFN response in tumor cells and augmented IFN-γ production by anti-tumor effector T cells.Ern1-/-tumor cells restored the tumorigenic capacity in Ifnar-/-mice.Conclusion:Ern1 defi-ciency can enhance the immunogenicity of tumor cells and inhibit tumor outgrowth by boosting endoplasmic reticulum stress-induced type Ⅰ IFN response.

Pain management, listed as the fifth vital sign, has gained increasing attention from clinicians. Conventional analgesics have limited duration, leading to intense monitor and frequent dosing during the early phase in order to prevent the progression of chronic pain. Thus, prolonging the duration of analgesics has become one focus of the pain research. Several strategies, such as adding adjuvants, producing derivatives, and applying extended-release carriers, make it possible for super long-acting analgesics to come into reality. This review briefly introduces the strategies and development of the super long-acting analgesics, including the successful translation and commercialization of the present products of super long-acting analgesics. It also summarizes the application and translation of extended-release drug carriers, providing invaluable reference for the future research on the field of super long-acting analgesics.

Rumination is a pathological habitual thinking pattern commonly observed in various mental disorders. It is closely associated with the severity of symptoms, treatment outcomes, and social functioning outcomes in conditions such as depression, anxiety, post-traumatic stress disorder, and obsessive-compulsive disorder. In recent years, rumination has become a focal point in the clinical diagnosis and treatment of mental disorders. However, research on rumination still faces challenges, including conceptual ambiguity, lack of consistent assessment tools, unclear pathological mechanisms, and a shortage of effective intervention methods. This paper conducts a comprehensive review by examining relevant domestic and international literature to enhance our understanding of rumination across different mental disorders. The review encompasses the concepts, assessments, pathological mechanisms, and intervention methods of rumination, aiming to provide insights and references for the clinical diagnosis and treatment of rumination.

Rumination is a pathological habitual thinking pattern commonly observed in various mental disorders. It is closely associated with the severity of symptoms, treatment outcomes, and social functioning outcomes in conditions such as depression, anxiety, post-traumatic stress disorder, and obsessive-compulsive disorder. In recent years, rumination has become a focal point in the clinical diagnosis and treatment of mental disorders. However, research on rumination still faces challenges, including conceptual ambiguity, lack of consistent assessment tools, unclear pathological mechanisms, and a shortage of effective intervention methods. This paper conducts a comprehensive review by examining relevant domestic and international literature to enhance our understanding of rumination across different mental disorders. The review encompasses the concepts, assessments, pathological mechanisms, and intervention methods of rumination, aiming to provide insights and references for the clinical diagnosis and treatment of rumination.