According to many criteria, implementation of lean technologies into medical organizations rendering primary health care is implemented through project activities. At that, experience of implementation of projects presents different results in terms of efficiency in clinics of the Moscow Oblast that is partly related to psychological characteristics of employees and unpreparedness for changes in work. The purpose of the study is to assess particular psychological characteristics of medical workers in primary health care organizations which may affect implementation of changes in basic processes in functioning of clinics. The questionnaire survey of 3 978 managers and workers of polyclinics of the Moscow Oblast was carried out concerning differential type of reflection, cognitive regulation of emotions and integral types of communicative aggressiveness to analyze psychological status of workers of polyclinics where project activities were implemented. According to differential type of reflection average level of systemic reflection is decreased in 62.6% of respondents. In 7% evidence of quasi-reflection indicator was revealed. In 20.78% of employees deviation in introspection parameter was detected. On cognitive regulation of emotions self-blame was above "norm" in 32.5% of respondents; indicator of rumination was above "norm" in 22.8% of workers, deviation from the "norm" in terms of catastrophizing was marked in 7.9%, blaming others in 4.5%, acceptance was decreased in 70.6% of respondents, positive refocusing was insufficient in 77.7% of workers of polyclinics, perspective consideration was insufficient in 65.8% of respondents; and 51.2% of respondents had weak focusing on planning. On integral types of communicative aggressiviness low level of communicative aggression was established. At that, in 85.9% of respondents parameter "inability to switch aggression to activities or inanimate objects" was above average value. To increase efficiency of results of implementation of changes within the framework of project activities it is necessary to carry out psychological work with personnel of medical organizations in individual and group (training) format.

Background: Chronic Fatigue Syndrome (CFS), also known as Myalgic Encephalomyelitis (ME), is a debilitating condition characterized by persistent fatigue and multisystemic symptoms, such as cognitive impairment, musculoskeletal pain, and post-exertional malaise. Recently, parallels have been drawn between ME/CFS and Long COVID, a post-viral syndrome following infection with SARS-CoV-2, which shares many clinical features with CFS. Both conditions involve chronic immune activation, raising questions about their immunopathological overlap. Objectives: This study aimed to compare immune biomarkers between patients with ME/CFS or Long COVID and healthy controls to explore shared immune dysfunction. Methods: We analyzed lymphocyte subsets, cytokine profiles, psychological status and their correlations in 190 participants, 65 with CFS, 54 with Long COVID, and 70 healthy controls. Results: When compared to healthy subjects, results in both conditions were marked by lower levels of lymphocytes (CFS—2.472 × 109/L, p = 0.006, LC—2.051 × 109/L, p = 0.009), CD8+ T cells (CFS—0.394 × 109/L, p = 0.001, LC—0.404 × 109/L, p = 0.001), and NK cells (CFS—0.205 × 109/L, p = 0.001, LC—0.180 × 109/L, p = 0.001), and higher levels of proinflammatory cytokines such as IL-6 (CFS—3.35 pg/mL, p = 0.050 LC—4.04 pg/mL, p = 0.001), TNF (CFS—2.64 pg/mL, p = 0.023, LC—2.50 pg/mL, p = 0.025), IL-4 (CFS—3.72 pg/mL, p = 0.041, LC—3.45 pg/mL, p = 0.048), and IL-10 (CFS—2.29 pg/mL, p = 0.039, LC—2.25 pg/mL, p = 0.018). Conclusions: Notably, there were no significant differences between CFS and Long COVID patients in the tested biomarkers. These results demonstrate that ME/CFS and Long COVID display comparable immune and inflammatory profiles, with no significant biomarker differences observed between the two groups.

Female Chronic Pelvic Pain (CPP) is a common, complex, and multifactorial disease that is associated with a number of non-gynecologic and gynecologic conditions. The physical symptoms associated with CPP can contribute to emotional distress, ultimately affecting a woman's quality of life. It is imperative now more than ever to further investigate how stereotypes and racial and gender disparities operate in CPP diagnosis and management for Black women, which was the ultimate goal of this study. A qualitative design was implemented that focused on one-on-one semi-structured interviews with 4 categories: General Understanding, Diagnosis Experience, Social and Economic Barriers, and Treatment Stage. The study had a total of 30 participants that self-identified as Black and were between the ages of 18-65. Thematic analysis and consolidation revealed 3 prevalent themes. First, Black women have an understanding of and subjective familiarity with their CPP diagnoses revealing knowledge may not be a limiting factor to receiving care. Secondly, the interviews revealed themes of "dismissal" and "normalization" of pain that appeared a total of 70 times across several social and medical contexts. Finally, a novel theme of "self-advocacy" emerged. Black patients feel a necessity to fight for recognition and adequate medical care. This, along with the known emotional distress linked to chronic pain contributes to increased mental load for these women. Overall, this study is a call to action for increased empathy in the provider-patient relationship, eliminating stereotypes in healthcare treatment, and emphasizing mental and emotional states in pain management.

This paper presents an ensemble model in the determination of manifestation of emotion intensities from audio-dataset. An emotion denotes the mental state of the human mind or/and thought processes that represents a recognizable pattern of an entity like emotion arousal having a good similarity with its manifestation of vocal, facial or/and bodily signals. In this paper, we propose a stacking, late fusion approach where the best experimental outcome from two base models build from Random Forests and Extreme Gradient Boost are combined using simple majority voting. RAVDESS audio datasets, a public gender balanced dataset built by Ryerson University of Canada for the purpose of emotion study was used. 80% of the dataset was used for training while 20% was used for testing. Two features, MFCC and Chroma were introduced to the base models in a series of experimental setups and the outcome evaluated using confusion matrix, precision, recall and F1-Score. It was then compared to two state-of-the-art works done on KBES and RAVDESS datasets. This approach yielded an overall classification accuracy of 93%.

Short-video platforms such as TikTok, Douyin, and Instagram Reels have transformed digital consumption into an immersive, algorithmically mediated commerce ecosystem. This study examines how compulsive short video use (CSV), a maladaptive pattern linked to diminished self-regulation, shapes purchase intention (PI). Drawing on compulsive consumption theory, dual-process perspectives, and socio-technical systems theory (STST), we estimate a structural equation model using survey data from 542 active short-video users. The results show that CSV exerts a strong and consistent positive effect on PI, indicating that compulsive engagement functions as a commercially consequential psychological state. This relationship is contingent on socio-technical conditions: technical support and platform familiarity substantially amplify the CSV–PI pathway, social belonging provides weaker but positive reinforcement, and social interaction attenuates the effect by redirecting attention away from transactional cues. These findings position CSV as both a form of digital pathology and a commercially activating mechanism within socio-technical environments. The study also offers guidance for platform managers seeking to balance monetization with ethical responsibility in short-video commerce ecosystems.

Objectives Social Cognition (SC) can be impaired in Parkinson’s Disease (PD), yet its longitudinal evolution relative to cognitive status is unclear. This study examined whether SC deficits in PD patients suffers different changes based on baseline cognitive status and cognitive progression. Methods In this observational study 48 non‐demented PD patients (32 with normal cognition [PD‐CN], 16 with mild cognitive impairment [PD‐MCI]), and 22 healthy controls (HC) were assessed at baseline and after three years. SC was assessed for facial emotion recognition (FER), affective and cognitive Theory of Mind (ToM), and social behavior. A comprehensive neuropsychological battery provided domain-specific z-scores. Cognitive classification followed MDS Level II criteria. Adjusted linear mixed models examined SC changes. Delta scores for SC tasks and z-score changes were correlated. Results At baseline, PD-MCI patients scored lower on cognitive ToM than PD-CN and HC, with no significant group differences in affective ToM, FER, or social behavior. Over three years, PD-MCI patients experienced a significant decline in cognitive ToM compared to PD-CN and HC, while affective ToM and emotion recognition declined only relative to HC. The converters (n = 16) to a worse cognitive state (PD-CN to PD-MCI or PD-MCI to PDD) showed lower baseline cognitive ToM and steeper decline than stable patients. All SC changes correlated with visuospatial ability; affective ToM also correlated with memory, language and attention, and FER with memory and executive function. Conclusions Cognitive ToM declines in parallel with cognitive deterioration in PD, while remaining stable in PD-CN. SC measures may help identify patients at higher risk of cognitive decline.

Electroencephalography (EEG)-based brain-computer interfaces (BCIs) hold significant potential for enhancing driver safety through real-time monitoring of cognitive and affective states. However, the development of reliable BCI systems for Advanced Driver Assistance Systems (ADAS) depends on the availability of high-quality, publicly accessible EEG datasets collected during driving tasks. Existing datasets lack standardized parameters and contain demographic biases, which undermine their reliability and prevent the development of robust systems. This study presents a multidimensional benchmark analysis of seven publicly available EEG driving datasets. We compare these datasets across multiple dimensions, including task design, modality integration, demographic representation, accessibility, and reported model performance. This benchmark synthesizes existing literature without conducting new experiments. Our analysis reveals critical gaps, including significant age and gender biases, overreliance on simulated environments, insufficient affective monitoring, and restricted data accessibility. These limitations hinder real-world applicability and reduce ADAS performance. To address these gaps and facilitate the development of generalizable BCI systems, this study provides a structured, quantitative benchmark analysis of publicly available driving EEG datasets, suggesting criteria and recommendations for future dataset design and use. Additionally, we emphasize the need for balanced participant distributions, standardized emotional annotation, and open data practices.

To investigate the changes of psychology, eating behavior, sleep, cell phone use and weight management in patients with weight loss before and after operation. A convenience sampling method was used to select 53 patients from the weight loss center of a third class hospital in Beijing. A self-controlled study design was adopted before and after weight loss surgery to observe the changes of patients' eating behavior, sleep status, mobile phone dependence, psychological status and weight management before and after weight loss surgery. 1 month after weight loss surgery, the overall psychological status of patients was significantly improved (P < 0.05), the proportion of excess weight loss after weight loss was positively correlated with preoperative psychological status, multiple linear regression results showed that psychological status before weight loss was the main risk factor for weight management after weight loss. Before and after bariatric surgery, there were significant differences in body mass, SCL-90 symptom self-evaluation results, and the dimensions of cognitive restriction in eating behavior (P<0.05). The psychological status of patients after bariatric surgery was significantly improved. Preoperative psychological status was the main risk factor for excess weight loss in bariatric surgery patients.

The mental state of the users can significantly affect the performance of active brain-computer interfaces (aBCIs). In this work, we aim to adopt passive BCIs (pBCIs) to measure a typical mental state, frustration, which is much relevant to aBCIs. A novel paradigm has been developed that combines both aBCIs and pBCIs under different frustration levels of users. The aBCI in this work is based on classic binary motor imagery (MI). In experiments, a new strategy was implemented that uses visual feedback to induce different levels of frustration. The electroencephalography (EEG) data collected were used for both aBCIs and pBCIs. The pBCI was utilized to assess the frustration level during the aBCI tasks, and the aBCI classification models for different levels of frustration were trained. For pBCI, the filter bank common spatial pattern (FBCSP) feature extraction and support vector machine (SVM) classification were utilized to classify three (i.e., low, moderate, high) frustration levels. For aBCI, the same method (FBCSP+SVM) was used to classify left versus right MI. We also aim to improve the performance of aBCIs in such conditions, so we developed two new methods to incorporate the pBCI results to adapt three MI classifiers to the varying states of frustration. Compared to the conventional approach of directly classifying MI tasks without considering frustration, the two proposed methods increased the mean classification accuracy by 7.40% and 8.62%, respectively. (Compared with the commonly used non-emotional discrimination data, the results are improved by 4.56% and 5.87% respectively.) Within the scope of non-invasive EEG and MI-based aBCI, this study provides, to our knowledge, an initial integrated demonstration in which a frustration-level classifier (pBCI) is trained and then used to adapt MI decoding (aBCI). It should not be taken as a claim of originality beyond this context. Starting from "user subjective perception", this paper rises to the engineering level of "objective frustration recognition and classification model adaptation", and makes a contribution to the depth of EEG data analysis and methodological integrity.

Development of a new model for prediction of relevant treatment related adverse events in older individuals with gastrointestinal cancers.

Neuroticism is characterized by emotional instability and increased susceptibility to stress-related disorders. While traditionally treated as a unitary construct, growing evidence suggests that neuroticism is heterogeneous in both its genetic basis and its effects on social and health outcomes. To quantify this heterogeneity at the neurofunctional level, we analyzed resting-state functional connectivity (RSFC) in a large sample (n = 33,180) from the UK Biobank dataset. Using machine learning regression analysis, we identified RSFC patterns associated with item-level responses from the neuroticism scale of the Eysenck Personality Questionnaire. The pattern of RSFC associations across questionnaire items reflected genetically defined clusters (Worry and Depressed Affect), showing a significant correlation (r = 0.767, p < 0.001). It also aligned with psychometrically derived factors (Anxiety/Tension and Worry/Vulnerability), reflecting a factor structure consistent with prior psychological studies. These findings were replicated in a separate MRI scan session from the UK biobank dataset. Associated connectivity was primarily observed in cognitive control, sensory integration, and self-referential processing networks. These neurofunctional signatures position RSFC as a robust intermediate phenotype, bridging genetic predisposition for neuroticism and psychological states. This framework could enhance precision in predicting psychiatric vulnerability and inform tailored therapeutic interventions.

The cerebral cortex provides the main input to the striatum, constituting the first step in cortico-basal ganglia loops. Decades of careful anatomical tract-tracing research have established the exquisite topography of each cortical region's projection to the striatum in nonhuman primates. In parallel, neuroimaging research has demonstrated the relationship between cortico-striatal resting-state functional connectivity and specific cognitive, behavioral, psychiatric, and neurological states in humans. However, still unclear is the extent to which functional connectivity recapitulates the specific topographies of cortico-striatal anatomical connectivity. Here, we combined datasets of cortico-striatal anatomical and functional connectivity in macaques to determine the degree of overlap between the two. Across multiple metrics of similarity, we found that anatomical and functional connectivity demonstrated higher correspondence in the frontal and primary somatosensory cortices, with lower correspondence in other brain regions. This suggests that there are many regions in the brain in which cortico-striatal functional connectivity may not be driven by direct anatomical connectivity.

Annotation: The article analsis the problems of psychological preparation of athletes participating in figure skating. Successful participation in modern sports depends not only on physical preparation, but also on a system of psychological preparation that ensures a stable mental state. As part of the research, methods for developing such components as stress resistance, emotional stability, internal motivation and self-control for figure skaters were tested in practice.

Anxiety and depression have become major global health concerns. With the rapid rise of social media, people increasingly share emotions and personal struggles through posts, which often convey multiple mental states simultaneously. To address this multi-label classification challenge in mental health texts, this study proposes a multi-task framework with two main modules, a multi-perspective prompt design module and a perturbation-based self-supervised learning module, based on a pre-trained language model backbone. Prompts from sociological, psychological, and educational perspectives are used to enhance semantic understanding. To improve model robustness, we formulate self-supervised auxiliary tasks where the model predicts whether a sentence has undergone insertion, swap, or deletion. Experiments on the MultiWD dataset, covering six wellness dimensions, show that our method outperforms all baselines. Furthermore, ablation studies explore the impact of different training configurations and confirm the critical contributions of both proposed modules.

Purpose Mobbing is a serious problem with major consequences for workers’ health and company productivity. This study aims to examine the impact of workplace mobbing on the mental well-being of employees, with a specific focus on knowledge hiding and quiet quitting as sequential mediators. Using social exchange theory (SET), this study aims to clarify the consequences of toxic workplace environments, both in terms of knowledge-related actions and employee psychological states, in a hospitality setting. Design/methodology/approach The authors conduct two studies, taking a quantitative approach to generalize the findings. Study 1 is conducted in a hospitality setting, focusing on employees (n = 298), and Study 2 is a survey of general working staff (n = 183). In both cases, partial least squares structural equation modeling (PLS-SEM) is used to analyse the direct and indirect relationships among the variables. Findings The findings indicate that workplace mobbing significantly affects knowledge hiding and quiet quitting behaviours. In addition, knowledge hiding significantly mediates the relationship between workplace mobbing and quiet quitting, further mediating the relationship between knowledge hiding and employee mental well-being. These findings highlight the cascading effect of mobbing on knowledge management dynamics as well as the mental health of employees. Research limitations/implications The evidence extracted from the findings underscores the necessity for targeted interventions that prevent workplace mobbing and discourage knowledge hiding and quiet quitting behaviours. Organizations, especially service-oriented firms, should promote knowledge exchange behaviour based on a culture established on trust. Originality/value This study makes a significant contribution to the field of knowledge management by revealing the sequential pathway that connects workplace mobbing with mental well-being through knowledge hiding and quiet quitting. It highlights the detrimental impact of toxic social interactions on employee mental health and organizational knowledge flows.

Title: Ayurvedic Principles of Ahara Vidhi Vidhan: A Comparative Analysis with Modern Dietary Practices. Background: In Ayurveda, Ahara (food) is recognized as one of the Trayopastambha (three pillars of life), essential for sustaining life, maintaining health, and preventing disease. Among these pillars, food is regarded as the foremost contributor to physical and mental well-being. Objective: To explore the Ayurvedic guidelines on Ahara Vidhi Vidhana (dietary conduct) compare them with modern dietary practices and analyze their respective implications for health and the development of lifestyle disorders. Methods: This study involves a textual analysis of classical Ayurvedic literature, primarily the Charaka Samhita and Sushruta Samhita, to extract core principles of Ahara Vidhi Vidhan. These principles are then critically compared with current dietary trends and nutritional recommendations in modern medicine and public health. Results: Ayurvedic texts provide comprehensive dietary rules that emphasize the quality, quantity, timing and mental state during food consumption. In contrast, modern diets focus on macronutrients, calories and convenience, often overlooking individualized and mindful approaches. The deviation from Ayurvedic principles in current dietary behavior correlates with an increase in lifestyle-related disorders such as obesity, diabetes and gastrointestinal issues. Conclusion: The Ayurvedic concept of Ahara Vidhi Vidhana offers a holistic and preventive framework for diet and lifestyle management. Integrating these time-tested principles with modern nutritional science may contribute to better health outcomes and a reduction in chronic disease prevalence.

Postoperative delirium (POD) is common after head and neck tumor surgery with free flaps, compromising immobilization and flap survival. However, robust tools for early POD severity prediction and systematic studies on onset-time heterogeneity are lacking. In a retrospective cohort of 65 POD patients, demographic, perioperative, and postoperative data were analyzed. POD was subclassified by severity (CAM-ICU-7 score) and onset time (24-hour threshold). Descriptive, univariate and multivariate analyses identified independent influencing factors, and a prediction model for POD severity was developed and evaluated. Severity: 39 severe and 26 non-severe, differing in mental state, clinical manifestations, onset time, duration, and olanzapine dose. Preoperative platelet-to-lymphocyte ratio (PLR) and intraoperative tropisetron dosage were independent influencing factors. The nomogram showed strong discrimination (AUC = 0.830), good calibration and clinical benefit. Onset time: 33 acute and 32 delayed, differing in POD duration and olanzapine dose. Preoperative diastolic blood pressure and PLR were independent influencing factors. POD after head and neck tumor surgery shows marked heterogeneity in severity and onset. Neutrophils and platelets may respectively drive neuroinflammation occurrence and progression, synergizing with blood pressure to regulate POD subtyping. Identified factors enable early multidimensional warning. The prediction model performs well with optimal threshold 0.45-0.55.

Background Polycystic Ovary Syndrome (PCOS) and Recurrent Pregnancy Loss (RPL) are reproductive disorders frequently linked to psychological distress. This study compared the severity of depression, anxiety, and stress levels between women with PCOS and RPL and assessed their association with years of marriage. Materials and methods A cross-sectional study conducted a random sampling method on 157 women (PCOS: 70; RPL: 87) attending the Obstetrics and Gynecology OPD at IMS BHU, Varanasi. Psychological status was assessed using the DASS-21 scale, a reliable tool widely used in reproductive health research. Chi-square test and independent sample t-tests were used for statistical analysis. Results Mean scores were significantly higher in RPL than in PCOS: depression (10.7 ± 3.5 vs. 8.8 ± 4.3, p = 0.003), anxiety (13.3 ± 3.8 vs. 10.7 ± 5.5, p = 0.001), and stress (12.3 ± 4.4 vs. 10.3 ± 6.1, p = 0.007). Marriage duration was significantly longer among women with severe depression (RPL: 8.4 ± 5.2 yrs.; PCOS: 6.3 ± 3.1 yrs), anxiety (RPL: 8.6 ± 5.1 yrs.; PCOS: 7.1 ± 3.3 yrs), and stress (RPL: 9.0 ± 5.2 yrs.; PCOS: 6.3 ± 3.1 yrs), all p &amp;lt; 0.05. Age was higher in RPL patients (p = 0.024); LH was higher in PCOS (p = 0.000). No significant differences were observed in AMH or BMI. Psychological symptoms were more severe among women with RPL, and a longer duration of marriage was associated with greater symptom severity. Marriage duration was significantly higher in women classified with severe depression, anxiety, and stress based on DASS-21 scores, indicating a correlational rather than causal relationship. Conclusion Routine psychological assessment is recommended for women with PCOS and RPL. Early identification of psychological distress may help improve overall reproductive and emotional health outcomes in these patients.

Active video games (AVG) offer an alternative or complementary approach to traditional rehabilitation, yet their effects in patients with interstitial lung disease (ILD) remain underexplored. This study aimed to evaluate the effectiveness of AVG in individuals with ILD. Forty-five patients with ILD were randomised into three equal groups: AVG, traditional aerobic exercise (TAE), and control (CG). Both the AVG and TAE groups participated in 30 min of moderate-intensity cycling twice weekly for 8 weeks. The AVG group additionally completed 30 min of exergaming after cycling. All groups were instructed to walk 30 min twice weekly. Outcomes were assessed at week 8. Primary outcomes included exercise capacity measured by the 6-min walk test (6MWT), incremental shuttle walk test (ISWT), and endurance shuttle walk test (ESWT). Secondary outcomes included spirometry, respiratory and quadriceps strength, fatigue, dyspnea, physical activity (PA) and psychological state. Satisfaction, attendance, and enjoyment were also recorded. After 8 weeks, the AVG group demonstrated greater improvements in 6MWT distance (p = 0.035), maximal inspiratory pressure (p = 0.002), St George's Respiratory Questionnaire (SGRQ) symptoms (p = 0.005) and activity (p = 0.008) scores, International Physical Activity Questionnaire (IPAQ) (p = 0.001), and the London Chest Activities of Daily Living Scale (LC-ADL) (p = 0.001) compared to TAE and CG. No significant differences were observed in ISWT, forced vital capacity (FVC), maximal expiratory pressure, quadriceps strength, dyspnea, or Hospital Anxiety and Depression Scale (HADS) scores (p > 0.05). AVG combined with traditional aerobic exercise appears to be a safe and effective intervention in ILD, improving submaximal capacity, symptom control, physical activity, satisfaction, and adherence. NCT06087692 at https://clinicaltrials.gov/ct2/show/NCT06087692.

Objective: To investigate the effect of local mild hypothermia combined with early continuous nursing on nerve function and inflammatory factors in patients with subarachnoid hemorrhage. Methods: 40 patients with subarachnoid hemorrhage receiving local mild hypothermia combined with early continuous nursing in our hospital from January 2023 to December 2023 were included as the combination group, and meanwhile 40 patients with subarachnoid hemorrhage receiving early continuous nursing were included as the control group. Neurological function, levels of inflammatory factors, cerebral artery blood flow velocity and psychological state were compared between the two groups before and after treatment, and complications were recorded between the two groups during treatment. Results: After treatment, National Institutes of Health Stroke Scale score, anterior blood flow velocity in cerebral artery, posterior cerebral artery and middle cerebral artery, interleukin-8, high-sensitivity C-reactive protein, tumor necrosis factor-α, and Hamilton depression and anxiety scores were decreased in both groups, and the decrement was more apparent in the combination group than the control group (p &lt; 0.05). The Glasgow outcome score was elevated after treatment in both groups, which was higher in the combination group than the control group (p &lt; 0.05). The complication rate in combination group was lower than that in control group (p &lt; 0.05). Conclusion: Local mild hypothermia combined with early continuous nursing can effectively improve the nerve function and cerebral artery blood flow velocity, reduce the level of inflammatory factors, and regulate the psychological state of patients with subarachnoid hemorrhage under good safety.