Unified modeling of photothermal and photochemical damage.

Correlating damage outcomes to a retinal laser exposure is critical for diagnosis and choosing appropriate treatment modalities. Therefore, it is important to understand the causal relationships between laser parameters, such as wavelength, power density, and length of exposure, and any resulting injury. Differentiating photothermal from photochemical processes in an in vitro retinal model using cultured retinal pigment epithelial cells would be a first step in achieving this goal. The first-order rate constant of Arrhenius has been used for decades to approximate cellular thermal damage. A modification of this equation, called the damage integral (Ω), has been used extensively to predict the accumulation of laser damage from photothermal inactivation of critical cellular proteins. Damage from photochemical processes is less well studied and most models have not been verified because they require quantification of one or more uncharacterized chemical species. Additionally, few reports on photochemical damage report temperature history, measured or simulated. We used simulated threshold temperatures from a previous in vitro study to distinguish between photothermal and photochemical processes. Assuming purely photochemical processes also inactivate critical cellular proteins, we report the use of a photothermal Ω and a photochemical Ω that work in tandem to indicate overall damage accumulation. The combined damage integral (ΩCDI) applies a mathematical switch designed to describe photochemical damage relative to wavelength and rate of photon delivery. Although only tested in an in vitro model, this approach may transition to predict damage at the mammalian retina.

Latent Relations at Steady-state with Associative Nets.

Models of word meaning that exploit patterns of word usage across large text corpora to capture semantic relations, like the topic model and word2vec, condense word-by-context co-occurrence statistics to induce representations that organize words along semantically relevant dimensions (e.g., synonymy, antonymy, hyponymy, etc.). However, their reliance on latent representations leaves them vulnerable to interference, makes them slow learners, and commits to a dual-systems account of episodic and semantic memory. We show how it is possible to construct the meaning of words online during retrieval to avoid these limitations. We implement a spreading activation account of word meaning in an associative net, a one-layer highly recurrent network of associations, called a Dynamic-Eigen-Net, that we developed to address the limitations of earlier variants of associative nets when scaling up to deal with unstructured input domains like natural language text. We show that spreading activation using a one-hot coded Dynamic-Eigen-Net outperforms the topic model and reaches similar levels of performance as word2vec when predicting human free associations and word similarity ratings. Latent Semantic Analysis vectors reached similar levels of performance when constructed by applying dimensionality reduction to the Shifted Positive Pointwise Mutual Information but showed poorer predictability for free associations when using an entropy-based normalization. An analysis of the rate at which the Dynamic-Eigen-Net reaches asymptotic performance shows that it learns faster than word2vec. We argue in favor of the Dynamic-Eigen-Net as a fast learner, with a single-store, that is not subject to catastrophic interference. We present it as an alternative to instance models when delegating the induction of latent relationships to process assumptions instead of assumptions about representation.

BPMN diagram dataset: Comprehensive collection of functional requirements.

The dataset in this paper explains the functional requirements in the form of Business Process Modelling Notation (BPMN) diagrams from three software applications: employee cooperative, store, and mini hospital. Data were collected from clients or owners of software in three business software projects developed by development teams (including the authors) through requirements elicitation activities. The functional requirements are presented as a BPMN diagram. There are 67 data objects, each presenting a single functional requirement or process. Apart from being presented in diagram form, the BPMN diagram of the functional requirements is also provided in the form of an XML Process Definition Language (XPDL) file, making it possible for users of this dataset to export it using business process management platform tools. Due to the rarity of functional requirements presented in the form of BPMN diagrams for research and education, this dataset plays an important role in research and education in the fields of requirements engineering, software engineering, software metrics, business process modelling, and other relevant fields.

A Process Model of Formative Work to Strengthen a Prison Health Surveillance System.

Worldwide, there is a lack of systematically collected health data on people who are incarcerated. Our objective in this paper was to describe a process model of formative work for a project to strengthen health surveillance for people incarcerated under a Canadian prison authority. We have developed project structures and processes, and we are evaluating project partnerships. To inform prison health surveillance foci, we are conducting a review of literature on best practices, a qualitative study to understand stakeholders' needs and priorities, and mapping work to understand available prison health-related data. Developing and implementing prison health surveillance is gradual and developmental, necessitating time to build relationships and obtain approvals. The needs and interests of knowledge users should be prioritized, but there may be challenges to achieving a coherent vision due to feasibility and differing needs and objectives of various stakeholders. Developing collaborative relationships could help bridge this gap.

Trait self-control: A Process Model perspective.

What do self-controlled individuals do that distinguishes them from those who are more impulsive? That is, why are some people better able to align their behavior with personal long-term goals despite alternatives that would be more immediately gratifying? To address this question, we use the Process Model of Self-Control [1], which posits that all impulses are generated via a four-stage, recursive process and can be regulated by intentionally intervening at any of these stages. We suggest that this framework illuminates not only individual states of self-control, but also the diverse ways that stable individual differences in self-control can come about.

Understanding invisible pain in the older adult: a content analysis of social media's representation of herpes zoster vaccine.

Herpes zoster (HZ), a common disease in older adults, affects their quality of life. Therefore, this study aimed to examine the blog posts of HZ-related information on social media platforms to analyze the attitudes and behaviors of residents toward the dissemination of health information. This research used content analysis to focus on Weibo, a representative social media in China, to analyze the content of 1866 blog posts related to herpes zoster (HZ) and herpes zoster vaccine (HZV). According to the consistency test by Cohen's Kappa, four themes were identified: (a) sources, (b) tones, (c) epidemiological information, and (d) extended parallel process model elements. The findings showed that most information on Weibo came from non-professionals, with a neutral tone, and showed the invisible pain of HZ and the effectiveness of HZV through the two largest aspects of prevention and aged protection in epidemiological information. However, current blog posts treat the older adult as invisible individuals, failing to acknowledge them as recipients of the information. Additionally, the cost of the vaccine acts as an invisible economic barrier, contributing to the dissemination of incorrect information about folk remedies. This impacts the older adult's acceptance of health information related to HZV. Thus, the way to share health information with the older adult needs to be improved in the future, and attention should be paid to the transmission of incorrect information to improve their vaccination rates and awareness of health management.

Mapping Emotion Regulation Patterns Within the Alternative Model of Personality Disorders Personality Traits.

Personality pathology is associated with emotional problems that are potentially attributable to problematic emotion regulation strategy patterns. We evaluated the emotion regulation strategies associated with the pathological personality traits in the Alternative Model of Personality Disorders (AMPD). A total of 504 participants completed measures of AMPD traits and strategy usage, which were analyzed using hierarchical regressions and latent profile analysis (LPA). Regression results demonstrated that each trait was associated with a unique strategy pattern: negative affect with emotional overengagement, detachment with socialemotional avoidance, antagonism with emotional externalization/avoidance, disinhibition with emotional avoidance and overengagement, and psychoticism with strategies linked to psychotic/dissociative experiences. The LPA identified three profiles with heightened AMPD traits: an internalizing/distressed profile, an externalizing/distressed profile, and a schizoid-schizotypal profile; each had a unique strategy pattern that varied depending on trait composition. This research highlights the relevance of emotion regulation strategy patterns in the assessment, conceptualization, and treatment of personality pathology.

A New Way of Analysing Dreams on Its Profoundest Level: The Development of Motif Analysis and Phase Model (MAP) as an Extension of Structural Dream Analysis (SDA).

Dream research today assumes that there is a connection between dreams and waking life. However, the structural alteration of dream motifs in connection with the psychotherapeutic process and waking life has not yet been researched extensively. This study depicts the development of the new Motif Analysis and Phase Model (MAP), a dynamic method which allows research on the previous aspects. The following question was investigated as an accompanying key issue: can a connection be established between the course of the dream patterns and the agency of the dream ego as well as the dream contents and the course of the psychotherapies of the dreaming person as a whole? Four hypotheses were formulated and tested. The data material consists of 217 dreams of a male test subject. The motifs were analysed using Structural Dream Analysis (SDA) at first. Thereafter, the content was linked to the test subject's waking life in a guided interview. The findings show a strong connection between the dream content and the psychotherapies as well as the test subject's waking life. Five motifs with structural changes were found, through which the Phase Model with four phases was developed. At turning points, the transformative child motif also appears in the dreams. The course of the dream patterns and agency of the dream ego, however, has not changed. The results, the method and the generalisability were critically discussed and recommendations for future research were formulated.

Attitude, Habit Strength, and the Relationship Between Intention and Leisure-Time Physical Activity Behavior Among College Students.

According to the dual-process theories, many scholars proposed that physical activity behavior tends to be governed by an interplay of intentional planning and habitual action. The major purpose of this study was to determine the moderation effects of habit strength on the relationship between leisure time moderate-to-vigorous physical activity (MVPA) intention and behavior and the impacts of cognitive and affective attitude on PA habit strength, utilizing a latent interaction modeling approach. A total of 1803 undergraduate students completed this study. All variables were measured using validated self-report questionnaires. Structural equation modeling and Hayes' PROCESS program (model 1) were conducted to address the research questions. Habit strength significantly and positively moderated the effects of intention on leisure time MVPA behavior (ß = .08, p < .01). The association between intention and PA behavior became stronger as habit strength increased. Affective attitude positively and significantly influenced habit strength (ß = .71, p < .01). The effect of cognitive attitude on habit strength was significant and negative with a small effect size (ß = -.08, p < .01). Findings indicated that habit strength positively moderated the relationship between PA intention and behavior, suggesting that stronger habit strength may amplify the association between PA intention and actual PA behavior. Affective attitude toward PA significantly influenced habit strength, whereas cognitive attitude exhibited minimal negative impact on habit strength. These findings contribute to our understanding of the interaction effects between deliberative and automatic processes in regulating PA behavior, as well as the nuanced relationship between attitude and habit development.

Physical symptoms in prolonged grief disorder: a case report.

BACKGROUND: Prolonged grief disorder (PGD) was added as a new disorder to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) in 2022. PGD is defined as an intense yearning or longing for the deceased and preoccupation with thoughts or memories of the deceased. The official diagnostic criteria for PGD do not include physical symptoms, but it is sometimes associated with somatic symptoms. CASE DESCRIPTION: We present the case of a patient suffering from facsimile illness who lost her husband due to the deterioration of a brain tumor. She suffers from similar physical symptoms (severe headache reminiscent of a brain tumor, and hypertension) as her deceased husband. We focused on the dual process model in which grief exposure and behavioral activation began, ensuring an oscillation between loss-oriented grief (e.g., crying, feeling a continuing bond) and restoration-oriented grief (e.g., attending to life changes, new roles/identities/relationships). Outpatient psychotherapy based on the dual-process model of grief improved her physical symptoms. CONCLUSIONS: This case report highlights the physical symptoms experienced by those bereaved by a deceased loved one. Exposure therapy and behavioral activation approaches based on the dual-process model of grief response were effective in reducing the physical symptoms of facsimile illness. Physical symptoms in deceased family members triggered by bereavement are often overlooked and need to be recognized.

Detecting rhythmic spiking through the power spectra of point process model residuals.

Objective. Oscillations figure prominently as neurological disease hallmarks and neuromodulation targets. To detect oscillations in a neuron's spiking, one might attempt to seek peaks in the spike train's power spectral density (PSD) which exceed a flat baseline. Yet for a non-oscillating neuron, the PSD is not flat: The recovery period ('RP', the post-spike drop in spike probability, starting with the refractory period) introduces global spectral distortion. An established 'shuffling' procedure corrects for RP distortion by removing the spectral component explained by the inter-spike interval (ISI) distribution. However, this procedure sacrifices oscillation-related information present in the ISIs, and therefore in the PSD. We asked whether point process models (PPMs) might achieve more selective RP distortion removal, thereby enabling improved oscillation detection.Approach. In a novel 'residuals' method, we first estimate the RP duration (nr) from the ISI distribution. We then fit the spike train with a PPM that predicts spike likelihood based on the time elapsed since the most recent of any spikes falling within the precedingnrmilliseconds. Finally, we compute the PSD of the model's residuals.Main results. We compared the residuals and shuffling methods' ability to enable accurate oscillation detection with flat baseline-assuming tests. Over synthetic data, the residuals method generally outperformed the shuffling method in classification of true- versus false-positive oscillatory power, principally due to enhanced sensitivity in sparse spike trains. In single-unit data from the internal globus pallidus (GPi) and ventrolateral anterior thalamus (VLa) of a parkinsonian monkey-in which alpha-beta oscillations (8-30 Hz) were anticipated-the residuals method reported the greatest incidence of significant alpha-beta power, with low firing rates predicting residuals-selective oscillation detection.Significance. These results encourage continued development of the residuals approach, to support more accurate oscillation detection. Improved identification of oscillations could promote improved disease models and therapeutic technologies.

A new communication approach to encourage lung cancer screening action in rural eligible populations.

Objective: The purpose of this study was to develop an effective communication approach to encourage lung cancer screening action within rural screening-eligible populations. Methods: An iterative research approach using targeted engagement with the priority population was used. Findings were triangulated through multiple methods, including two surveys and concept testing interviews. The Health Belief Model and the Extended Parallel Process Model served as study frameworks. Results: Initial findings suggest that threat levels are high in the priority population and an emphasis on barrier mitigation messaging may drive action. Health campaign posters integrating these findings were developed and tested with the priority population. The new health campaign posters were tested against examples of previously used health campaign posters. Findings suggest that the new health campaign posters were more effective in spurring lung cancer screening motivation and intention to act in the priority population compared to current health campaign poster examples. Conclusion: Messaging focused on gain-framing, inoculation messaging, and barrier mitigation may be more effective in encouraging lung cancer screening action in rural eligible populations. Innovation: This project outlines a systematic process to developing effective, targeted communication approaches using behavior change and persuasive communication frameworks along with engagement from priority populations.

Fuel poverty and mental health in a COVID-19 context.

Fuel poverty is a widespread problem which affects people's health and has serious economic and social repercussions. Mental health has been adversely affected by the COVID-19 pandemic and appears to be particularly influenced by fuel poverty. We analyze this relationship while highlighting the unequal vulnerability of individuals in the population. We first built a novel database of 4194 representative observations of the French adult population. We then used a conditional mixed-process model to quantify the causal effect of fuel poverty on mental health using instrumental variables to overcome potential endogeneity. We prove the robustness of this causal effect by providing different sensitivity tests. Our results show that being fuel poor decreases the mental health score by 6.3 points out of 100. Fuel poverty also increases the depression score by 5.35 points, the anxiety score by 6.48 points, and decreases the social health score by 6.82 points. Our results show that tackling energy poverty can lead to positive spillover effects to improve mental health. Mitigation policies to provide energy-efficient housing should also become a priority to address climatic and economic hazards in the long term because they imply co-benefits in health.

Drinking and driving: A systematic review of the impacts of alcohol consumption on manual and automated driving performance.

INTRODUCTION: Almost a third of car accidents involve driving after alcohol consumption. Autonomous vehicles (AVs) may offer accident-prevention benefits, but at current automation levels, drivers must still perform manual driving tasks when automated systems fail. Therefore, understanding how alcohol affects driving in both manual and automated contexts offers insight into the role of future vehicle design in mediating crash risks for alcohol-impaired driving. METHOD: This study conducted a systematic review on alcohol effects on manual and automated (takeover) driving performance. Fifty-three articles from eight databases were analyzed, with findings structured based on the information processing model, which can be extended to the AV takeover model. RESULTS: The literature indicates that different Blood Alcohol Concentration (BAC) levels affect driving skills essential for traffic safety at various information processing stages, such as delayed reacting time, impaired cognitive abilities, and hindered execution of driving tasks. Additionally, the driver's driving experience, drinking habits, and external driving environment play important roles in influencing driving performance. CONCLUSIONS: Future work is needed to examine the effects of alcohol on driving performance, particularly in AVs and takeover situations, and to develop driver monitoring systems. PRACTICAL APPLICATIONS: Findings from this review can inform future experiments, AV technology design, and the development of driver state monitoring systems.

Examining Indirect and Direct Effects of Risk and Resilience on the Relation Between Perceived Discrimination and Eating Disorder Symptoms in Ethnic Minority American Women.

Direct relationships between perceived discrimination and eating pathology in ethnic minorities are well-documented. However, theoretical work examining unique risk and resilience factors that strengthen or weaken the relation between these constructs in ethnic minorities is lacking. The current study aims to address this gap by incorporating stress-process and tripartite frameworks to examine social and personal resources as they relate to perceived discrimination and eating pathology. In a sample of Black, Asian, and Latine women (N = 296, M age = 30.82), social support did not mediate the relationship between perceived discrimination and eating pathology. A significant interaction effect was observed for thin-ideal internalization strengthening the relation between perceived discrimination and negative emotional eating. Thin-ideal internalization moderated the relation between perceived discrimination and negative emotional eating in Latine Women, and disordered eating in Black Women. Overall, findings suggest ethnic minority Women have both personal and social resources that may influence the strength of effect on the relation between perceived discrimination on eating pathology.

Tracing State Structure for Ecological Processes in Soil Including Greenhouse Gas Exchange with Lower Atmosphere.

Exploring data aids in the comprehension of the dataset and the system's essence. Various approaches exist for managing numerous sensors. This study perceives operational states to clarify the physical dynamics within a soil environment. Utilizing Principal Component Analysis (PCA) enables dimensionality reduction, offering an alternative perspective on the spring soil dataset. The K-means algorithm clusters data densities, forming the groundwork for an operational state description. Soil data, integral to an ecosystem, entails evident attributes. Employing dynamic visualization, including animations, constitutes a vital exploration angle. Greenhouse gas variables have been added to PCA to achieve more understanding in the interconnection of gas exchange and soil properties. Pit data and flux data are analysed both separately and together using a data-driven approach. The results look promising, showing the potential to add new values and more detailed state structures to ecological models. All experiments are conducted within the Jupyter programming environment, utilizing Python 3. The relevant literature on data visualization is examined. Through combined techniques and tools, the potential features of the soil ecosystem are observed and identified.

Stress and Loneliness Among Family Caregivers of Older Persons With Cognitive Impairment: The Mediating Role of Social Isolation and the Moderating Role of Personal Mastery.

OBJECTIVES: Relatively little attention has been paid to the underlying processes and conditions leading to loneliness among caregivers of older persons with cognitive impairment (PCI). Drawing upon the caregiver stress-process model and the social relationship expectations framework, this study examined the mediating role of social isolation and the moderating role of caregiver personal mastery in the association between PCI memory and behavioral problems and caregiver loneliness. METHODS: Structural equation modeling was applied to cross-sectional data from 266 caregivers in Singapore. RESULTS: Caregiver-reported PCI memory and behavioral problems were associated with increased levels of caregiver loneliness. Caregiver social isolation partially mediated the association and caregiver personal mastery moderated the association. DISCUSSION: Caregivers with low mastery were more likely to experience loneliness due in part to social isolation resulting from their PCI's memory and behavioral problems. Tailored interventions should address caregiver social isolation and foster caregiver personal mastery.

Testing the Effect of Cue Consistency on the Past Behavior-Habit-Physical Activity Relationship.

Behavior performed in the presence of consistent cues is a core element for successful habit development, with the repeated presence of consistent cues facilitating the activation of automatic responses in future. Yet, little is known about the effects of different cue types on habit. Using a two-wave prospective PLS-SEM model with a sample of 68 undergraduate students, we assessed the mediating effects of habit on the past-behavior-to-physical-activity relationship, and how the mediating effects of habit were moderated by the consistent presence of different forms of cues. Habit mediated the effects of past behavior on physical activity, with a significantly stronger mediating effect of habit in those reporting undertaking physical activity at the same time of day, doing the same activity, and in the same mood. Consistent place, people, and part of routine did not moderate the effects of habit. The results provide formative evidence for a key assertion of the habit theory that consistent contextual and internal cues are a cornerstone of habitual development and action, but they also indicate the importance of examining different forms of cues and their impact on the formation and enaction of habits as some cues may be more relevant than others.

The mental health toll among healthcare workers during the COVID-19 Pandemic in Malawi.

The COVID-19 pandemic has affected the mental health of healthcare workers worldwide, with frontline personnel experiencing heightened rates of depression, anxiety, and posttraumatic stress. This mixed-methods study aimed to assess the mental health toll of COVID-19 on healthcare workers in Malawi. A cross-sectional survey utilising the Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), and Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) was conducted among 109 frontline healthcare workers. Additionally, in-depth interviews were conducted with 16 healthcare workers to explore their experiences and challenges during the pandemic. The results indicated a high prevalence of COVID-19-related depression (31%; CI [23, 41]), anxiety (30%; CI [22, 40]), and PTSD (25%; CI [17, 34]) among participants. Regression analysis revealed significantly higher rates of depression, anxiety, and PTSD among healthcare workers in city referral hospitals compared to district hospitals. Qualitative findings highlighted the emotional distress, impact on work and personal life, and experiences of stigma and discrimination faced by healthcare workers. The stress process model provided a valuable framework for understanding the relationship among pandemic-related stressors, coping resources, and mental health outcomes. The findings underscore the urgent need for interventions and support systems to mitigate the mental health impact of COVID-19 on frontline healthcare workers in Malawi. Policymakers should prioritise the assessment and treatment of mental health problems among this critical workforce to maintain an effective pandemic response and build resilience for future crises.

The effect of cognitive load, ego depletion, induction and time restriction on moral judgments about sacrificial dilemmas: a meta-analysis.

Greene's influential dual-process model of moral cognition (mDPM) proposes that when people engage in Type 2 processing, they tend to make consequentialist moral judgments. One important source of empirical support for this claim comes from studies that ask participants to make moral judgments while experimentally manipulating Type 2 processing. This paper presents a meta-analysis of the published psychological literature on the effect of four standard cognitive-processing manipulations (cognitive load; ego depletion; induction; time restriction) on moral judgments about sacrificial moral dilemmas [n = 44; k = 68; total N = 14, 003; M(N) = 194.5]. The overall pooled effect was in the direction predicted by the mDPM, but did not reach statistical significance. Restricting the dataset to effect sizes from (high-conflict) personal sacrificial dilemmas (a type of sacrificial dilemma that is often argued to be best suited for tests of the mDPM) also did not yield a significant pooled effect. The same was true for a meta-analysis of the subset of studies that allowed for analysis using the process dissociation approach [n = 8; k = 12; total N = 2, 577; M(N) = 214.8]. I argue that these results undermine one important line of evidence for the mDPM and discuss a series of potential objections against this conclusion.