The aim of this work is to uncover such a stance, particularly in the context of dynamical systems, and to show its shortcomings We propose an alternative relational approach based on Whitehead's notion of "internal relations," which we explicate and illustrate with several examples Our work aims to criticize the notion of simple location, even in the framework of emergentist accounts, so as to contribute to a "relational turn" that will conceive "inter-identities" as "intra-identities" in which interactants are not enduring substances, but internally related processes In sum, we argue that the notion of internal relations has a strong theoretical power to overcome some fundamental difficulties in the study of life and mindThis study contributes to the constantly accumulating evidence on the effects of customer incivility CI on service employee exhaustion Previous research has demonstrated that surface acting SA acts as a mediating variable in the relationship between CI and exhaustion This study extended prior findings in two ways The results of Study 1 315 retail sales employees, 622 female demonstrated that SA mediates the positive relationship between CI and exhaustion while controlling for employees' trait positive and negative affectivity NA The results of Study 2 292 customer service representatives, 51 female supported a moderated mediation model demonstrating that trait emotional intelligence EI buffers the direct and indirect through SA effects of CI on exhaustion Specifically, it was found that employees exposed to many uncivil customer behaviors but high in trait EI reported using less SA and, thus, experienced fewer exhaustion symptoms than their low in trait EI counterparts These results highlight EI as an important personal resource that mitigates the adverse effects of CI on service employees' exhaustion, and suggest that organizations should consider implementing EI training programmes for their frontline service employeesThe aim of this study is the examination of the effect of virtual reality based imagery VRBI training programs on the shot performance and imagery skills of athletes and, and to conduct a comparison with Visual Motor Behavior Rehearsal and Video Modeling VMBR + VM In the research, mixed research method and sequential explanatory design were used In the quantitative dimension of the study the semi-experimental model was used, and in the qualitative dimension the case study design was adopted The research participants were selected from athletes who were involved in our target sports curling n = 14, bowling n = 13, and archery n = 7 All participants were randomly assigned to VMBR + VM n = 11, VRBI n = 12, and Control n = 11 groups through the "Research Randomizer" program The quantitative data of the study was the weekly shot performance scores of the athletes and the data obtained from the "Movement Imagery Questionnaire-Revised" The qualitative data was obtained from the data collected from the semi-structured interview guide, which was developed by researchers and field experts According to the results obtained from the study, there were statistically significant differences between the groups in terms of shot performance and imagery skills VRBI training athletes showed more improvement in the 4-week period than the athletes in the VMBR + VM group, in terms of both shot performance and imagery skills In addition, the VRBI group adapted to the imagery training earlier than the VMBR + VM group As a result, it was seen that they showed faster development in shot performances From these findings, it can be said that VRBI program is more efficient in terms of shot performance and imagery skills than VMBR + VM, which is the most used imaging training modelObjective Alcohol use disorder AUD is a serious issue worldwide and frequently co-occurs with depression However, the quality of life QOL of AUD patients with and without depression is not well studied in the Chinese Han population The aim of this study was to investigate QOL and its correlates in AUD patients with and without depression in China Methods Five hundred and fifteen psychiatric patients diagnosed with AUD were recruited All these patients completed the Beck Depression Inventory BDI to assess depression, the Medical Outcome Study 36-Item Short Form Health Survey SF-36 to evaluate QOL and the Alcohol Use Disorders Identification Test AUDIT to measure the severity of drinking Results Compared with AUD patients without depression, those with depression had a lower QOL in all eight domains of the SF-36 all P less then 0001, but were more willing to have alcohol-related treatment P less then 005 Negative correlations were noted between i the BDI total score and all eight domains of the SF-36 all P less then 0001; and ii between the AUDIT total score and six domains of the SF-36 all P less then 005 Conclusions Depression impairs QOL in patients with AUD in China Early intervention in comorbid depression to improve QOL is neededBackground The use of cannabis concentrate is dramatically rising and sparking major safety concerns Cannabis concentrate contains tetrahydrocannabinol THC potencies up to 90, yet there has been little research on motor impairment after concentrate use commonly referred to as "dabbing" This study measured postural control and motor speed after the use of high potency concentrates in males and females Methods Experienced concentrate users N = 65, Female 46, 17 ± 11 days/month of concentrate use were assessed for motor performance in a mobile laboratory before, immediately after, and 1 h after ad-libitum cannabis concentrate use Plasma levels of THC were obtained via venipuncture at each timepoint We used a remotely deployable motor performance battery to assess arm and leg movement speed, index finger tapping rate, and balance The sensors on a smart device iPod Touch attached to the participant provided quantitative measures of movement Results Arm speed slowed immediately after concentrate use and remained impaired after 1 h p less then 0001, leg speed slowed 1 h after use p = 0033, and balance decreased immediately after concentrate use eyes open p = 0017, eyes closed p = 0013 but not at 1 h post-use These effects were not different between sexes and there was no effect of concentrate use on finger tapping speed Acute changes in THC plasma levels after use of concentrates were minimally correlated with acute changes in balance performance Conclusions Use of cannabis concentrates in frequent users impairs movement speed and balance similarly in men and women The motor impairment is largely uncorrelated with the change in THC plasma levels These results warrant further refinement of cannabis impairment testing and encourage caution related to use of cannabis concentrates in work and driving settingsThe patient's decision-making abilities are often altered in psychiatric disorders The legal framework of psychiatric advance directives PADs has been made to provide care to patients in these situations while respecting their free and informed consent  https//wwwselleckchemcom/products/bms-935177html  The implementation of artificial intelligence AI within Clinical Decision Support Systems CDSS may result in improvements for complex decisions that are often made in situations covered by PADs Still, it raises theoretical and ethical issues this paper aims to address First, it goes through every level of possible intervention of AI in the PAD drafting process, beginning with what data sources it could access and if its data processing competencies should be limited, then treating of the opportune moments it should be used and its place in the contractual relationship between each party patient, caregivers, and trusted person Second, it focuses on ethical principles and how these principles, whether they are medical principles autonomy, beneficence, non-maleficence, justice applied to AI or AI principles loyalty and vigilance applied to medicine, should be taken into account in the future of the PAD drafting process Some general guidelines are proposed in conclusion AI must remain a decision support system as a partner of each party of the PAD contract; patients should be able to choose a personalized type of AI intervention or no AI intervention at all; they should stay informed, ie, understand the functioning and relevance of AI thanks to educational programs; finally, a committee should be created for ensuring the principle of vigilance by auditing these new tools in terms of successes, failures, security, and relevanceIntroduction Schizophrenia is a lifelong condition associated with several comorbid conditions such as physical illnesses like obesity, as well as co-occurring psychiatric symptoms such as depression Research regarding susceptibility to some of these comorbidities has primary focused on genetic risks or neurotransmitters and very little work has been done to understand environmental factors such as diet In particular, understanding the role of dietary glutamic acid consumption on co-morbidities in patients with schizophrenia is important, as evidence suggests that glutamic acid consumption may directly influence glutamatergic neurotransmission; a key neurotransmitter related to schizophrenia, its associated co-morbidities, and depression Therefore, the aim of this study was to examine the potential relationship between dietary glutamic acid and depressive symptomatology in patients with schizophrenia, stratified by obesity status, due to its relationship with inflammation, antipsychotic use, and depressive to hip ratio Overall, no relationship was found between dietary glutamic acid and BDI scores, However, for non-obese participants, diets higher levels of glutamic acid were associated with greater depression symptomatology p = 0021 Conclusion These preliminary results indicate a possible correlation between dietary glutamic acid a depressive symptoms in non-obese patients with schizophrenia, although further research is needed to specifically examine this relationshipMorphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging MRI in conjunction with machine learning ML algorithms International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods In this work, we present the results of the predictive model based on deep neural networks DNN proposed during the Predictive Analytic Competition 2019 for brain age prediction of 2638 healthy individuals We used FreeSurfer software to extract some morphological descriptors from the raw MRI scans of the subjects collected from 17 sites We compared the proposed DNN architecture with other ML algorithms commonly used in the literature RF, SVR, Lasso Our results highlight that the DNN models achieved the best performance with MAE = 46 on the hold-out test, outperforming the other ML strategies We also propose a complete ML framework to perform a robust statistical evaluation of feature importance for the clinical interpretability of the results