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Despite rapid advances in immersive technologies (AR, VR, and MR), many digital experiences struggle to sustain user participation. Prior research emphasizes technological realism while overlooking how structured interactions shape meaning-making and motivation. Drawing on interaction ritual chains (IRC) theory, this study introduces ritual interaction (RI)-comprising contextual elements, ritual symbols, scripted processes, and shared emotion-to examine its impact on participation intention. Using PLS-SEM, results show that RI influences participation through a sequential psychological process: it enhances immersion, which strengthens presence, ultimately driving participation intention. Immersion plays a more proximal role than presence. Moderation analysis indicates that experience type strengthens the effect of RI on immersion in culture-based, but not nature-based, environments. By shifting focus from technological affordances to interactional structure, this study highlights how structured interaction can motivate participation and informs the design of immersive systems while contributing to human-computer interaction and mediated social behavior research.

Children with a wide range of impairments such as cerebral palsy and childhood apraxia of speech can benefit from augmentative and alternative communication (AAC). When AAC is provided, it frequently focuses on improving basic pragmatic skills such as requesting or on early semantic skills such as vocabulary acquisition. To address this issue, the primary goal of this study was to evaluate the effects of implementing the AAC Generative Language Intervention (AAC-GLI) program on the aided expressive grammar of preschoolers with relatively intact receptive language skills who could benefit from AAC. A randomized controlled trial was used to evaluate the results. A total of 40 children who required AAC participated in the control group, intervention group, or both groups. The families of both the control and intervention group participants received a half-day AAC workshop. The intervention group also received 28 play-based AAC-GLI sessions. Weighted mean length of utterance in symbols (W-MLUSym), which was developed specifically for aided communicators, was used to measure progress. The intervention group demonstrated superior effects on W-MLUSym compared with the control group. Additionally, growth modeling demonstrated that the intervention condition was a significant moderator of change over time, with children in the intervention condition having statistically significantly greater increases in W-MLUSym, while W-MLUSym for children in the control condition remained similar to baseline. AAC-GLI can be used to teach preschoolers with a range of impairments to improve their expressive grammar skills. Providing AAC intervention that focuses on grammatical growth is an important part of expressive language development for these young children.

This essay offers a psycho-spiritual and psychoanalytic meditation on the horse-human relationship as a nonverbal site of attunement, regulation, and meaning-making. Drawing on autobiographical clinical narrative, it explores how horseback riding became a medium for experiencing and reflecting upon embodied connection, mutual responsiveness, and contemplative presence. Encounters with horses illuminate forms of reciprocity that preceded and exceed speech, while also opening reflection on maternal attachment, separation, loss, and the emergence of selfhood. In dialogue with Freud, Winnicott, Piaget, and Buber, the essay argues that the horse-rider dyad may be understood as a lived analogue to central psychoanalytic concerns, including attunement, play, symbolization, and the I-Thou relation. The horse emerges not merely as metaphor, but as a sentient other whose responsiveness invites humility, emotional integration, and spiritual deepening. The essay ultimately suggests that sustained attention to the nonverbal-whether in relation to children with disabilities or to sentient beings-may enlarge psychoanalytic understandings of embodiment, intersubjectivity, and transcendence.

This article provides one of the first systematic sociological analyses of Saudi women's representation and positioning within tourism and sports narratives linked to Vision 2030 and Saudi Arabia's preparations for hosting the FIFA World Cup 2034. Addressing a notable gap in scholarship, the study examines the relationship between gendered media discourse, public visibility, and state-led modernization. Grounded in cultural representation theory, feminist reconceptualizations of the public sphere, and gender performativity, the study employs critical discourse analysis to examine a curated corpus of national tourism advertisements, sports promotional campaigns, government communications, and institutional reports published between 2022 and 2025. The findings reveal a strategic transformation in the representation of Saudi women as public actors, entrepreneurs, athletes, and cultural ambassadors operating within tourism and international engagement spaces. These representations combine symbolic references to Saudi heritage, including the abaya, desert landscapes, and equestrian culture, with narratives emphasizing modernization, mobility, and global openness. However, the analysis also demonstrates that these transformations remain uneven, with women's visibility and participation appearing more pronounced in metropolitan and globally oriented spaces than in rural regions, where local cultural norms continue to shape the pace and form of social change. The study further suggests that while symbolic inclusion and public visibility have expanded considerably, deeper forms of structural empowerment remain dependent on institutional mechanisms capable of supporting leadership opportunities, public-private collaboration, and regionally responsive capacity-building strategies. By situating Saudi women at the intersection of gender politics, tourism development, nation branding, and global sports diplomacy, the article contributes to broader debates on symbolic power, visibility, and social transformation in the contemporary Middle East while offering insight into how the 2034 FIFA World Cup may further reshape gendered participation in Saudi Arabia's evolving global future.

Bone has long served as a versatile raw material in human societies due to its durability, workability, and availability. However, identifying the animal species used in worked bone artifacts remains challenging, as manufacturing processes and use-wear often remove diagnostic morphological features. This study applies Zooarchaeology by Mass Spectrometry (ZooMS) to investigate raw material selection in textile-related bone tools from Augusta Emerita (Mérida, Spain), the capital of Roman Lusitania, dating to the 1st - 3rd centuries CE. The archaeological context of the assemblage is particularly significant, originating from contexts consisting of a bone processing workshop for the manufacture and sale of bone objects that is one of the first installations of this type identified in the Iberian Peninsula. A total of 36 artifacts associated with textile production were analyzed where five main taxonomic groups were identified: Bos taurus, Bovidae/Cervidae, Cervus elaphus, Elephas maximus, and an unidentified avian species. These results indicate a functional selection of common domestic and wild taxa, while the presence of exotic materials points to long-distance trade networks and the potential symbolic or social significance of certain artifacts, particularly in funerary contexts.

Developing the capacity of health professionals to engage in research and practice improvement is an important goal of health professions education. In nursing, research literacy is considered a key capability that enables clinicians to understand research, formulate practice-based questions, and initiate research or quality improvement activities. In China, rapid expansion of nursing education has strengthened academic preparation; however, the ability of clinical nurses to translate clinical problems into research or improvement initiatives remains uneven across practice settings. Little is known about how nurses develop research literacy in clinical environments and how workplace conditions shape their engagement in research-related practice. This qualitative study used semi-structured interviews with 20 clinical nurses from multiple departments in a tertiary teaching hospital in China. Participants were purposively sampled to capture variation in career stage, educational background, and research exposure. Interviews explored how nurses understood research, interacted around research ideas, evaluated research value, and attempted to initiate or sustain research or improvement projects. Data were analysed using reflexive thematic analysis, informed by sensitising concepts from research literacy theory and the Capability-Opportunity-Motivation-Behaviour (COM-B) behavioural framework. Four interrelated themes were identified. Nurses commonly accessed research evidence but often relied on conclusion-oriented interpretation rather than methodological appraisal, which limited their ability to adapt evidence to local practice. Research-related dialogue was mediated by hierarchy, professional positioning, team climate, and perceived psychological safety. Participants distinguished clinically meaningful research from "formalistic" projects perceived as procedural, symbolic, or driven mainly by institutional requirements. This distinction suggested that nurses were not rejecting research itself, but were critically judging whether research activity was clinically meaningful, morally legitimate, and feasible within everyday practice.Translating clinical concerns into research or improvement activities emerged as a fragile and non-linear pathway: ideas could be initiated, stalled, faded, or reactivated depending on workload pressures, leadership support, organisational opportunity, psychological safety, and perceived clinical meaning. Engaging in research in clinical nursing appears to be a socially situated professional practice rather than an individual technical skill. Research engagement develops through the interaction of research literacy, professional positioning, psychological safety, motivational commitment, and organisational opportunity within clinical workplaces. Based on these findings, the study proposes a heuristic behavioural pathway model describing how nurses move from interpreting research and recognising clinical problems to evaluating research value and attempting research or improvement action. The model highlights that this process is recursive and contingent rather than a stable linear progression, and may help identify where research engagement is likely to be interrupted or sustained in clinical nursing practice.

Early social development exhibits a qualitative transition: children move from predicting and coordinating with others to treating certain regularities as binding standards that license correction, protest, and third-party enforcement. This paper proposes that the transition is driven by symbolic closure, a stabilization operation through which pre-symbolic social coupling and practice participation yield deontically binding representations. Normative bindingness is defined as the emergence of scope-sensitive invariance in a child's deontic evaluation map: stability under perturbations that preserve a norm's legitimate scope, paired with principled divergence at scope boundaries. Bindingness is operationalized as a perturbation profile of deontic stability and summarized by a compact Normative Closure Index (NCI), defined as one minus the expected divergence of deontic evaluations under task-relevant perturbations. This formulation recasts established developmental paradigms, joint pretense and game norm enforcement, authority contingency, group membership manipulations, monitoring and incentive shifts, and third-party perspective probes, as structured tests of perturbation profiles rather than isolated endorsement measures. The framework yields testable predictions, including domain-by-perturbation dissociations that express the moral-conventional distinction as differences in invariance class, and a developmental pattern in which within-scope stability increases and then plateaus while boundary sensitivity is preserved. Symbolic closure thus provides a minimal perturbation grammar for identifying when and how "what people do" becomes "what one ought to do," while remaining compatible with multiple learning routes.

This study examines path differences in abstract and figurative art comprehension between art and non-art majors among college students. Employing a phased mixed-methods approach, the qualitative phase utilized semi-structured interviews and thematic analysis to develop a "perception-emotion-context-reasoning/narrative-interpretation" comprehension model, which informed the creation of a quantitative scale. The quantitative phase employed this model as a framework for reliability and validity testing, alongside multi-group path analysis. It compared and refined the model across four scenarios ("abstract/concrete × art/non-art"). Results indicate that contextual factors play a pivotal "hub-and-spoke" role in artistic comprehension. Artistic groups leverage context to engage in abstract reasoning and narrative construction, producing symbolic and academic expressions. Non-artistic groups, however, are often emotion-driven or rely on subjective speculation, leading to everyday associations or comprehension barriers. Understanding abstract works relies on perception and emotion, which, through context, ascend to the symbolic level. Concrete works, supported by context, activate narrative and linguistic pathways. The study provides mutual validation across qualitative and quantitative dimensions, proposing pedagogical and exhibition insights such as tiered contextual cues, narrative scaffolding, and task-oriented observation. These approaches facilitate the transition from experiential to professional understanding, enriching cognitive processing theories of art comprehension and offering an actionable framework for aesthetic education and museum practice.

Digital technologies are now widely embedded in anatomy education. This viewpoint discusses a potential "digital gap" in anatomy education that extends beyond the availability of technology but is shaped by disparities in perceptions, proficiency, confidence, and access among learners, educators, and institutions. We argue that addressing the digital gap is essential if digital anatomy is to move beyond symbolic innovation and realize its transformative potential in modern anatomy education.

Anti-CD20 therapies control inflammatory activity in multiple sclerosis (MS), but their effects on neurodegeneration and cognition in real-world settings remain uncertain. We conducted a longitudinal observational study of relapsing MS (RMS) patients treated with ofatumumab. Cognitive performance was assessed using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS), with processing speed as the primary outcome, and Magnetic Resonance Imaging (MRI) measures included thalamic volume, deep gray matter (DGM) volume, and cortical thickness (CTh). Longitudinal changes and structure-cognition associations were analyzed using linear mixed-effects models. Eighty-five RMS patients treated with ofatumumab (mean age 37.9 &#xb1; 9.9 years; 69.4% female; 222 MRI scans) were included. Brain atrophy persisted but attenuated beyond 12 months: whole-brain volume -0.15% to -0.09%; DGM -1.01% to -0.36%; thalamus -0.94% to -0.77%; CTh -1.67% to -0.62% (all p for slope changes >0.05). Cognitive performance increased (Symbol Digit Modalities Test, SDMT +3.79 points/year, 95% CI 1.35 to 6.23; p= 0.003), with increases in verbal and visuospatial memory (Brief Visuospatial Memory Test-Revised and California Verbal Learning Test-Second Edition, p< 0.05). No global longitudinal structure-cognition association was observed. In subgroups, thalamic atrophy was associated with SDMT decline in patients with Expanded Disability Status Scale &#x2265;3 (&#x3b2;= -54.31; p= 0.013), and DGM atrophy with cognitive worsening in patients with baseline SDMT z-score &#x2264; -1 (&#x3b2;= -55.91; p= 0.012). In ofatumumab-treated relapsing MS, neurodegeneration persists but slows over time while cognition may be preserved, and structural-functional coupling emerges only in vulnerable patients.

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Gestational Diabetes Mellitus (GDM) poses significant challenges to pregnant women and requires self-care practices for optimal outcomes. This study explored the self-care practices of pregnant women diagnosed with GDM in the Ho Municipality. A qualitative study using a Husserlian phenomenological design was employed. Purposive sampling was used to recruit 20 pregnant women with GDM. Data were collected through in-depth interviews, audio-recorded, transcribed verbatim, and analyzed using thematic analysis. Three (3) major themes and eleven (11) subthemes were identified. The themes that emerged included (a) knowledge of GDM, (b) concerns related to the management of GDM, (c) self-care practices for GDM, and (d) barriers and facilitators towards the management. Participants demonstrated awareness of hormonal and genetic risk for GDM; however, there was limited understanding of its development and management, particularly regarding the use of oral medications during pregnancy. Many participants reported emotional distress following the diagnosis. Key challenges included difficulty adhering to dietary and medication regimens and inadequate knowledge. Time constraints were identified as major barriers, while strong social support systems facilitated effective blood glucose management. The findings reveal gaps in knowledge and challenges in self-care among women with GDM in the Ho Municipality. There is a need for targeted education and support interventions to improve self-care practices and health outcomes.

As demonstrated by numerous environmental disasters worldwide, many sites have suffered from seismically induced liquefaction, resulting in substantial economic losses. Consequently, there is an urgent need for reliable prediction methods to assess vulnerability to liquefaction. In this study, the liquefaction potential (LP) of gravelly soil sites is predicted using available seismological parameters (Mw, R, t, PGA), soil parameters (G, F, D50), and site profile parameters (N'120, &#x3c3;'v, Dw, Hn, Dn) through AI-based symbolic regression techniques, namely response surface methodology (RSM), genetic programming (GP), evolutionary polynomial regression (EPR), and the group method of data handling neural network (GMDH-NN). A total of 234 data records were compiled from earthquake case histories reported in the literature and divided into 80% for training and 20% for validation. RSM was employed to model the database, whereas GP, EPR, and GMDH-NN were used for liquefaction potential classification in the investigated area. Comparative evaluation of model performance indicates that the RSM yielded a statistically significant parametric LP equation, operating with a degree of variation of 0.61 and a p-value of 0.0001. For the classification models, GP, EPR, and GMDH indicate that liquefaction is expected when the predicted LP&#x2009;&#x2265;&#x2009;0.5, while liquefaction is not triggered when LP&#x2009;<&#x2009;0.5. The total misclassification cases were categorized into positive errors, where liquefaction occurred but was not predicted, and negative errors, where liquefaction was predicted but not observed, with the latter being more conservative. In practice, negative errors are not entirely definitive, as liquefaction may locally occur beneath surface layers without being visibly manifested. Although all four predictive models achieved comparable accuracy levels ranging from 88% to 90%, further analysis revealed that the GP model produced 12% positive errors, whereas both EPR and GMDH models resulted in only 6% positive errors, indicating that they are more conservative and safer than the GP model. In addition, the GMDH model is considerably more complex than the EPR model, providing EPR with a notable practical advantage. Correlation analysis further demonstrated that the vertical effective overburden stress (&#x3c3;'v) and the dynamic penetration test blow count (N'120) are the most influential parameters, each exhibiting a correlation coefficient greater than 0.3g.

Communicating radiation dose to nurses using Sievert-based units may be difficult to interpret and may heighten anxiety. Chest Equivalent Dose (CED) is a symbolic approach that anchors dose information to a familiar chest imaging reference frame. To compare the effects of Chest Equivalent Dose (CED) versus conventional Sievert-based dose communication on nurses' radiation knowledge, radiation anxiety, and radiation-related feelings/experiences. A quasi-experimental pretest-posttest comparative study was conducted among nurses in Jordan. Participants received Sievert-based education (n=40) or CED-based education (n=31). Radiation knowledge (RKQ), radiation anxiety (RAQ), and radiation-related feelings and experiences (RREF) were measured immediately before and after the session. Paired- and independent-samples tests were used, and time effects were explored using mixed-model analyses. Baseline scores did not differ between groups (all p>0.05). In the CED group, RKQ increased from 59.76&#xb1;8.32 to 79.76&#xb1;10.16, while RAQ decreased from 57.97&#xb1;1.33 to 36.74&#xb1;1.83 and RREF decreased from 77.58&#xb1;2.87 to 47.12&#xb1;2.90 (all p<0.001). In the Sievert group, RKQ was unchanged (56.08&#xb1;10.89 to 58.32&#xb1;9.04; p=0.329), with small decreases in RAQ (58.23&#xb1;1.19 to 56.45&#xb1;1.58; p<0.001) and RREF (77.67&#xb1;3.02 to 75.67&#xb1;3.17; p=0.005). Posttest outcomes favoured CED for RKQ, RAQ, and RREF (all p<0.001). CED-based symbolic dose communication produced larger improvements in knowledge and larger reductions in anxiety and radiation-related experiences than Sievert-based education. Radiation dose is usually reported using scientific units such as millisieverts (mSv), which many nurses find difficult to interpret. When dose information is hard to interpret, it can increase worry, reduce confidence when answering patient questions, and weaken consistent risk communication across teams. Healthcare leaders and nurse educators are responsible for selecting training approaches and communication standards that support staff understanding and psychological safety. In this study, nurses received a brief educational session using either conventional Sievert-based teaching or a symbolic approach called Chest Equivalent Dose (CED), which explains dose using a familiar reference (the dose from a standard chest X-ray). We measured nurses&#x2019; radiation knowledge, anxiety, and radiation-related feelings before and after training. Compared with Sievert-based teaching, CED led to larger improvements in knowledge and larger reductions in anxiety and radiation-related concerns. These findings suggest that leaders can improve staff communication by standardizing an interpretable dose message that is accurate but easier to use in daily practice. For leaders, CED can be implemented through onboarding, annual competency training, and short, standardized scripts for staff-to-staff and staff-to-patient communication, supported by local champions and periodic audits to ensure consistent use.

Alcohol consumption among bartenders is higher than in most other professions. However, the cultural and occupational meanings of drinking in this setting are underexplored. Drawing on symbolic interactionism, this ethnographic study explores how bartenders interpret and regulate their alcohol use in their professional environment. Fieldwork was conducted in Marseille, France, in 2023 and included 22 in-depth semi-structured interviews and 320&#x202f;h of participant observation with 38 bartenders working in 33 independent bars. Data were analysed inductively. Findings reveal a "professional culture of drinking" where alcohol serves multiple functions: commercial, relational, ritual, and self-regulatory. Bartender drinking was tolerated by all concerned parties (managers, clients, etc.) and was often considered part of their identity, provided that service quality remained unaffected. Consumption frequently occurred in a "grey zone" where personal and professional boundaries were blurred. While most bartenders interviewed recognized the associated risks, they mainly emphasized mental not physical harms. They feared dependence but rarely sought formal healthcare services; instead, informal peer-based regulation and support predominated, together with self-regulation strategies like limiting hours of drinking and using non-alcoholic shots. Alcohol use among bartenders cannot be understood solely as a health-risk behaviour; it must be situated within professional norms and social logics. Public health interventions should move beyond prescriptive regulation to co-constructed approaches to prevention that respect occupational culture, valorise existing peer-based moderation practices, and strengthen dialogue between health professionals, employers, and workers.

This study evaluated the feasibility of smartphone-based ecological momentary assessment (EMA) to test middle-aged and older adults' cognition - via tasks of processing speed and cognitive control -with and without depression history. Participants aged 55-79 (n&#x202f;=&#x202f;79; 31 with depression history, 48 never-depressed controls) completed a 14-day EMA protocol with three daily assessments. The relevant tasks were Symbol Match Task (SMT; processing speed) and Go/No-Go task (GNG; cognitive control). Feasibility was evaluated through completion rates and missingness. Generalized additive modeling was used to evaluate associations between depression and cognitive performance, including trajectories, controlling for age, sex, and education. Of the 3318 possible response sessions, 2181 GNG and 2311 SMT were completed, nearly 70%. Controls demonstrated higher daily completion (GNG: 2.15 vs. 1.69 sessions, p&#x202f;=&#x202f;0.035) and lower missingness (28% vs. 44%, p&#x202f;=&#x202f;0.035) than depressed participants. Across tasks, depression history was associated with slower response times, less accuracy, and reduced efficiency. Controls averaged 2071&#x202f;ms on SMT versus 2342&#x202f;ms for depressed participants. Both groups showed performance improvements over time, suggesting learning effects, with parallel trajectories indicating a model consistent with depression's stable impact on cognitive functioning. While adherence challenges do exist, especially for those with a history of depression, smartphone-based EMA appears feasible for cognitive assessment in older adults. Depression impacts processing speed and cognitive control in this these real-world settings, and deficits persist regardless of current presence of symptoms. These findings support EMA's ecological validity for evaluating cognitive function and its potential for informing targeted interventions in late-life depression.

Large language models (LLMs) have shown promising results in medical decision support; Background: Large language models (LLMs) have demonstrated promising outcomes in medical decision support; however, their efficacy in managing complex hepatobiliary conditions remains insufficiently examined. We have developed a genetic neuro-symbolic LLM system that integrates multiple AI agents with neural-symbolic reasoning for the management of cholangitis, and we have compared its performance to that of conventional LLMs and human experts.genetic neuro-symbolic LLM system integrating multiple AI agents with neural-symbolic reasoning for cholangitis management and compared its performance against conventional LLMs and human experts. This multi-center cross-sectional study included 30 case-based questions from American Board of Internal Medicine (ABIM) gastroenterology subspecialty examinations covering acute cholangitis. Questions were categorized into diagnosis (n&#x2009;=&#x2009;10), treatment (n&#x2009;=&#x2009;10), and complications/prognosis (n&#x2009;=&#x2009;10). Performance of a genetic neuro-symbolic LLM system orchestrated via LangGraph was compared against Claude 4.5 Sonnet, ChatGPT 5.2, Gemini 2.0 Flash, 10 gastroenterology specialists, and 4 emergency medicine physicians from four tertiary centers in Turkey. The genetic neuro-symbolic system achieved the highest overall accuracy (100%, 30/30), significantly outperforming Claude 4.5 Sonnet (90.0%), ChatGPT 5.2 (60.0%), Gemini 2.0 Flash (63.3%), gastroenterology experts (mean 95.7% &#xb1; 3.2%), and emergency medicine physicians (mean 84.2% &#xb1; 8.8%). The neuro-symbolic system demonstrated superior performance across all categories and cholangitis subtypes. Among human participants, gastroenterologists outperformed emergency physicians in treatment decisions (p&#x2009;=&#x2009;0.012) and showed non-inferior performance to Gemini 2.0 Flash overall (p&#x2009;=&#x2009;0.034). The genetic neuro-symbolic LLM system demonstrated superior accuracy in cholangitis management compared to all conventional AI models and human experts. This proof-of-concept study suggests that multi-agent architectures with neural-symbolic reasoning may offer a promising direction for AI-assisted clinical decision support in complex hepatobiliary conditions, although prospective clinical validation is required before broader implementation claims can be warranted.

Forensic scientists, though crucial, are often overlooked in the "essential worker" discourse. This Perspective argues for their formal recognition as essential government personnel, aligning with federal definitions of essential and critical infrastructure workers. Their contributions are vital for timely criminal investigations, successful prosecutions, and protecting the innocent. Despite this, they operate within a "captive profession" under policing, lacking parity in pay, benefits, overtime, and furlough protections compared to sworn officers. The COVID-19 pandemic underscored these issues. While forensic laboratories were mandated to continue operations as part of the justice system's critical infrastructure, forensic staff often face budget cuts and hazardous work conditions while not being acknowledged for doing so. This highlights a systemic undervaluing of forensic science in public safety, where "life and limb" policing often overshadows scientific knowledge and methods that ensure accurate investigations, prevent wrongful convictions, reduce backlogs, and improve long-term public safety. Granting essential worker status to forensic scientists offers significant benefits for attracting and retaining professional personnel leading to sustainable staffing. Beyond mere symbolism, this acknowledgment is fundamental for establishing a sustainable, science-driven public safety infrastructure that values the contributions of technology and science as front-line and essential.

Digital phenotyping, the moment-by-moment quantification of human behavior using data from personal devices and sensors, has shown great promise in predicting mental health outcomes. However, the field is reaching a 'predictive plateau,' where models, while accurate, are often opaque black boxes that offer limited insight into underlying mechanisms of well-being. This paper proposes a fundamental paradigm shift from predictive classification to structural causal modeling. We introduce a two-stage computational framework that first learns unified daily behavioral embeddings from multimodal sensor data using a CNN-based encoder, and then applies neuro-symbolic causal discovery to infer interpretable directed graphs of behavioral-psychological dynamics. In our evaluation, we observed clear signs of this predictive plateau: even deep embedding models performed only slightly better than chance in stress prediction (best AUC = 0.532). By comparison, the causal approach identified candidate time-lagged associations; for example, lower levels of sleep activity ([Formula: see text]) and reduced mobility ([Formula: see text]) often appeared as preceding indicators of stress episodes. Dimensionality reduction via PCA retained five principal components explaining approximately 85% of the variance, enabling post-hoc interpretation of candidate behavioral components such as "Stationary Social Engagement." We define these components and their associated edge weights as candidate causal biomarkers: hypothesis-generating indicators of possible lagged behavior-stress relationships, rather than confirmed interventional causal effects.