The life coaching industry has experienced significant growth, yet traditional models face challenges related to accessibility, affordability, and quality inconsistency. The integration of artificial intelligence (AI) into life coaching presents a transformative opportunity to democratize personal development and mental well-being services. This study explores FASSLING, the first and only unified emotional and life coaching support bot available on the official ChatGPT store, designed to provide free, unlimited, 24/7 multilingual emotional and coaching support. By addressing systemic barriers such as financial constraints, limited access to qualified coaches, and coaching biases, FASSLING introduces an innovative approach that enhances scalability, personalization, and inclusivity. FASSLING is designed to safeguard all aspects of life, assisting individuals in navigating career decisions, emotional well-being, relationships, personal growth, and self-mastery. The study examines AI’s ability to mitigate unconscious bias, improve client engagement, facilitate proactive coaching interventions and other related functions. While AI-driven coaching tools like FASSLING offer unprecedented accessibility and consistency, concerns regarding ethical AI use, data privacy, and emotional intelligence limitations remain. The research argues for a hybrid coaching model, where AI complements human coaches rather than replacing them, ensuring a balanced approach to holistic personal development. This paper contributes to the evolving discourse on AI in coaching by offering insights into its benefits, challenges, and future implications for the coaching industry.

In recent years, the prevalence of diabetes (TDM) has increased. Metformin, a quintessential hypoglycemic agent, exhibits substantial hypoglycemia effects and possesses various clinical applications. This article reviews the application of metformin in the treatment of diabetes, analyzing its mechanism of action, clinical efficacy, and safety. Studies have found that metformin performs outstandingly in the intervention of pre-diabetes, cardiovascular protection, and weight management, and the combined treatment effects are significant. Its safety and cost-effectiveness make it an irreplaceable position in the treatment of diabetes. Frequent adverse effects of metformin encompass gastrointestinal distress and vitamin B12 deficiency resulting from prolonged usage. The future development of metformin will focus on precision and long-acting effects, optimizing treatment outcomes through targeted and sustained-release technologies, while meeting individual medication needs.

CD8+ T cells play a crucial role in tumor immunotherapy, especially in immune checkpoint therapy, and therefore have become the focus of cancer research. However, although immune checkpoint treatment has shown some efficacy in clinical trials, its effect is still limited by tumor immune escape. Tumors weaken CD8+ T cell function by adapting to immune stress, while mechanisms such as metabolic reprogramming and regulation of immunosuppressive factors further reduce their anti-tumor activity. Based on existing research and data, this paper discusses CD8+ T cell exhaustion, immune checkpoint regulation (PD-1/CTLA-4), and tumor microenvironment metabolism, and summarizes strategies to enhance the effect of immunotherapy. Studies have shown that by inhibiting T cell exhaustion, blocking immune checkpoint signaling pathways, and optimizing metabolism, CD8+ T cell function can be significantly enhanced and the overall therapeutic effect can be improved. However, while metabolic intervention appears promising, its clinical feasibility and safety require further validation. This study provides a theoretical basis for optimizing T cell immunotherapy and provides new ideas for clinical treatment.

This paper introduces FASSLING, an innovative AI-powered philosophical counseling platform designed to provide accessible, non-clinical emotional and life coaching support. In response to growing mental health challenges, existential distress, and the limitations of traditional therapeutic models, FASSLING offers a scalable and compassionate alternative grounded in philosophical inquiry, emotional intelligence, and cultural sensitivity. Drawing on both Eastern and Western wisdom traditions including Stoicism, existentialism, Confucianism, and mindfulness practices, the platform employs reflective prompts, affirming language, and trauma-informed communication to foster psychological safety and intrinsic motivation. Its non-diagnostic, emotionally intelligent AI system functions not to "fix" users but to validate, witness, support and guide them through moments of vulnerability and uncertainty. The design emphasizes ethical integrity, multilingual inclusivity, and a non-judgmental stance, aiming to democratize access to emotional and life coaching support across global and cultural boundaries. By reframing emotion and life coaching through the lens of transpersonal growth and digital companionship, FASSLING contributes to a new paradigm of relational AI: one that nurtures self-awareness, resilience, and meaning-making in a fragmented world.

Astragaloside, as a traditional Chinese medicine ingredient, has received widespread attention for its application in dementia treatment. In this paper, we reviewed the neuroprotective effects of astragaloside in the treatment of Alzheimer's disease, Parkinson's disease, vascular dementia, and many other diseases related to cognitive function. It was shown that astragaloside effectively improved the cognitive dysfunction under these conditions through multiple mechanisms such as antioxidant, anti-inflammatory and promotion of neuronal survival. In this paper, we hope that the summarization of the current domestic and international studies will help develop more effective treatment options for dementia and also provide new opportunities for the application of traditional Chinese medicine in modern medicine. With future research, the potential of astragaloside in the treatment of dementia will be more fully demonstrated, providing more therapeutic options for an aging society.

Objective: To utilize clinical data of patients diagnosed with Papillary Renal Cell Carcinoma (PRCC) from the SEER (The Surveillance, Epidemiology, and End Results) database (2010–2015) to construct and validate a prognostic model using a retrospective study design. Methods: Clinical and pathological data of 1,788 PRCC patients were extracted from the SEER database based on defined inclusion and exclusion criteria. The cohort was randomly divided into a training set (n = 1,252) and a validation set (n = 536) in a 7:3 ratio. Univariate and multivariate Cox regression analyses were conducted to identify clinical factors influencing prognosis. Based on these factors, a nomogram was developed to predict 1-year, 3-year, and 5-year Cancer-Specific Survival (CSS) rates. The model's discriminatory power and predictive performance were evaluated using the Concordance index (C-index), calibration curves, Area Under the Curve (AUC), and Receiver Operating Characteristic (ROC) analysis. Results: Univariate and multivariate Cox regression analyses identified age, gender, surgical method, pathological grade, and TNM stage as independent prognostic factors. These variables were incorporated into a Cox proportional hazards regression model to calculate risk scores and construct the nomogram. In the training set, the AUCs for 1-year, 3-year, and 5-year CSS predictions were 0.7978, 0.7813, and 0.7542, respectively. In the validation set, the AUCs were 0.6793, 0.7114, and 0.7174, respectively. Calibration curves demonstrated good agreement between predicted and observed survival outcomes, indicating adequate predictive accuracy. Conclusion: The prognostic nomogram model for patients with papillary renal cell carcinoma developed based on SEER database data provides reliable prognostic predictions and may support clinical assessment and decision-making.

Depressive disorder is one of the mental illnesses with the highest global disability rates. Homocysteine (Hcy), a non-essential sulfur-containing amino acid, serves as a significant risk factor in the development and progression of various diseases. Current research has revealed a close association between Hcy and depressive disorder. This review focuses on elucidating the mechanisms of Hcy in the pathogenesis of depressive disorder and explores its potential as both a biomarker and a therapeutic target.

Metabolic reprogramming in the Tumor Micro-Environment (TME) is one of the core mechanisms driving tumor immunosuppression. This paper systematically explores the functions and regulatory pathways of metabolism-related cells in the TME, such as Tumor-Associated Macrophages (TAMs), eosinophils, and basophils, and analyzes their potential impact on immunotherapy. TAMs polarize into pro-tumor M2 phenotypes through metabolic reprogramming, including enhanced glycolysis, arginine metabolism imbalance (High Expression of Arginase (ARG1)), and Fatty Acid Oxidation (FAO dependence), secreting immunosuppressive factors such as Interleukin-10 (IL-10) and Transforming Growth Factor-β (TGF-β), which inhibit T cell function. In addition, eosinophils and basophils participate in the immune regulation of the TME by releasing cytokines (Interleukin-4 (IL-4), Interleukin-6 (IL-6)) and bioactive molecules (histamine, heparin), but their roles are highly microenvironment-dependent. Immunotherapy strategies targeting TAMs include polarization regulation (blocking Colony Stimulating Factor 1 Receptor, (CSF-1R) or activating Toll-Like Receptor (TLR) pathways), metabolic intervention (inhibiting ARG1/ Indoleamine-Pyrrole 2,3-Dioxygenase Inhibitors (IDO)), and targeting the CD47-SIRPα axis, which can synergistically enhance the efficacy of immune checkpoint inhibitors (such as Programmed Death 1/ Programmed Death Ligand 1 (PD-1/PD-L1)) and Chimeric Antigen Receptor T-Cell (CAR-T) therapies. This paper further summarizes the principles, advantages, and processes of current immunotherapy methods and proposes a personalized strategy of combined targeting of metabolic pathways and immune checkpoints to overcome TME heterogeneity and resistance. Future research should delve into the dynamic metabolic networks of the TME, develop novel combination therapies, and provide theoretical and clinical pathways to break through the tumor immunosuppressive barrier.

Depression is a common, serious, and recurrent mental disorder that is closely associated with decreased quality of life, increased medical morbidity, and higher mortality rates. Currently, over 300 million people worldwide are affected by depression. According to reports from the World Health Organization (WHO), psychological disorders account for 12% of the global disease burden, and 46% of all illnesses are directly related to depression. WHO experts have warned that, if this trend continues, by 2030 the number of patients with depression will exceed the total number of patients with all cardiovascular diseases, making depression the leading cause of disability worldwide. It has thus become a major global public health concern. Xuefu Zhuyu Decoction, originally recorded in Correction of Errors in Medical Classics by Qing dynasty physician Wang Qingren, is known for its functions of promoting blood circulation, removing blood stasis, regulating qi, and relieving pain. It is now widely used in clinical practice for various conditions characterized by qi stagnation and blood stasis, with notable efficacy. This paper systematically elaborates on the therapeutic effects and mechanisms of Xuefu Zhuyu Decoction in treating depression accompanied by cognitive dysfunction.

Against the backdrop of global environmental change and rapid urbanization, how cities can enhance their capacity to withstand and adapt to uncertain risks has become an urgent and emerging topic across related academic disciplines. Urban resilience assessment has consistently been a core focus within urban resilience studies. Current research mainly concentrates on two aspects: assessment methodologies and the construction of indicator systems. Assessment approaches include indicator-based evaluation methods, simulation modeling, and social network analysis. The development of indicator systems generally draws on models such as PSR, DPSIR, and BRIC, selecting indicators that reflect various dimensions of urban resilience, including social resilience, economic/financial resilience, physical/infrastructure resilience, institutional resilience, and environmental resilience.