Search Results (4,536)

The behavioral theory of the firm explains how firms react to performance feedback, yet little is known about how firms integrate backward-looking feedback with forward-looking assessments of market opportunity. This study proposes and tests a retrenchment model grounded in SWOT-based behavioral logic via the TOWS matrix. Changes in market share are conceptualized as an internal strength or weakness, and market attractiveness, as an external opportunity or threat. Using prefecture-level panel data on Japanese life insurance companies (2006–2019), the analysis showed that market attractiveness served as a cognitive frame that shapes a firm’s response to performance signals. In attractive markets (opportunity), firms reduced retrenchment, as share gains (strength) were leveraged and losses (weakness) triggered problem-solving. Conversely, in unattractive markets (threat), firms accelerated retrenchment, as losses (weakness) confirmed the need to exit and gains (strength) enabled a profitable withdrawal. The study extends behavioral theory by showing that the strategic meaning of an internal strength or weakness depends on the external context of an opportunity or threat. This mechanism helps explain why firms sometimes persist after failure and retrench after success. Practically, the findings offer a diagnostic framework that helps managers assess market portfolios and mitigate behavioral biases in resource allocation decisions. Full article

Background: Intuitive inquiry meditation (Can-Hua-Tou) is a unique mental practice which differs from relaxation-based practices by continuously demanding intuitive inquiry. It emphasizes the doubt-driven self-interrogation, also referred to as Chan/Zen meditation. Nonetheless, its electrophysiological signature remains poorly characterized. Methods: We recorded 128-channel EEG from 20 male Buddhist monks (5–28 years Can-Hua-Tou experience) and 18 male novice lay practitioners (<0.5 year) during three counter-balanced eyes-closed blocks: Zen inquiry meditation (ZEN), a phonological control task silently murmuring “A-B-C-D” (ABCD), and passive resting state (REST). Power spectral density was computed for alpha (8–12 Hz), beta (12–30 Hz) and gamma (30–45 Hz) bands and mapped across the scalp. Mixed-design ANOVAs and electrode-wise tests were corrected with false discovery rate (p < 0.05). Results: Alpha power increased globally with eyes closed, but condition- or group-specific effects did not survive FDR correction, indicating comparable relaxation in both cohorts. In contrast, monks displayed a robust beta augmentation, showing significantly higher beta over parietal-occipital leads than novices across all conditions. The most pronounced difference lay in the gamma band: monks exhibited trait-like fronto-parietal gamma elevations in all three conditions, with additional, though sub-threshold, increases during ZEN. Novices showed negligible beta or gamma modulation across tasks. No significant group × condition interaction emerged after correction, yet only experts expressed concurrent beta/gamma amplification during meditative inquiry. Conclusions: Long-term Can-Hua-Tou practice is associated with frequency-specific neural adaptations—stable high-frequency synchrony and state-dependent beta enhancement—consistent with Buddhist constructs of citta-ekāgratā (one-pointed concentration) and vigilance during self-inquiry. Unlike mindfulness styles that accentuate alpha/theta, Chan inquiry manifests an oscillatory profile dominated by beta–gamma dynamics, underscoring that different contemplative strategies sculpt distinct neurophysiological phenotypes. These findings advance contemplative neuroscience by linking intensive cognitive meditation to enduring high-frequency cortical synchrony. Future research integrating cross-frequency coupling analyses, source localization, and behavioral correlates of insight will further fully delineate the mechanisms underpinning this advanced contemplative expertise. Full article

This study investigates how different mobile advertising cues (WOM, product, and price cues) affect consumer responses in terms of advertisement clicks and purchases. A large-scale field experiment was conducted on a mobile online learning platform with 45,000 users representing different customer life cycle stages, in which users were randomly assigned to one of three mobile advertisement types. Behavioral data on clicks and purchases were collected, and the dual-system processing model was used to analyze mediating effects. Consumers were more likely to click on adverts featuring WOM and price cues than product cues, but less likely to purchase. Purchasing experience moderated this effect: experienced consumers showed higher purchase probabilities for WOM and price cues. Affective processing mediated click behavior, while cognitive processing mediated purchases. This study advances cue theory in the mobile context by identifying distinct psychological and behavioral mechanisms driving consumer engagement and conversion. It highlights the importance of tailoring mobile advert strategies based on cue type and user experience. Full article

The study assesses the relationship between thalamic proton-MR spectroscopy (¹H-MRS) metabolites and thalamic ¹¹C-ER176 translocator-protein positron emission tomography (TSPO-PET) standardized uptake value ratios (SUVR) to advance our understanding of thalamic involvement in multiple sclerosis (MS)-associated neurodegeneration and disability. In this prospective cross-sectional study, patients with MS (pwMS) and controls underwent 3T-MRI, ¹H-MRS, and ¹¹C-ER176-PET targeting the thalamus. MRI-derived thalamic volume was normalized by intracranial volume. ¹H-MRS metabolites—N-acetylaspartate (NAA), glutamate (Glu), glutamine (Gln), total choline (tCho), and myo-inositol (mIns)—were normalized to total creatine (tCr). Clinical disability was evaluated using MS-specific tests of Expanded Disability Status Scale-EDSS and MS-functional composite-MSFC (including Paced Auditory Serial Addition Test-PASAT). Compared to controls (n = 30), pwMS (n = 21) exhibited smaller thalamic volume, higher thalamic ¹H-MRS mIns/tCr (putative gliosis marker), and higher thalamic ¹¹C-ER176-PET SUVR (glial density marker). In pwMS, higher thalamic mIns/tCr (r = −0.67) and tCho/tCr (r = −0.52) correlated with smaller thalamic volume. In pwMS, higher thalamic mIns/tCr correlated with higher thalamic ¹¹C-ER176-PET SUVR (r = 0.48) and decreased cognitive function (PASAT, rho = −0.48). In controls, decreased thalamic NAA/tCr correlated with increased thalamic ¹¹C-ER176-PET SUVR (r = −0.41). Thalamus, a core central nervous system relay, is affected early in MS disease course. Glial-mediated innate immune activation in the thalamus, evaluated by increased ¹H-MRS mIns/tCr and ¹¹C-ER176-PET SUVR, is associated with loss of thalamic volume and increased disability in pwMS. The multimodal imaging approach with ¹H-MRS mIns/tCr and ¹¹C-ER176-PET SUVR emerges as potential glial biomarkers, to better understand disease mechanisms and evaluate therapeutic interventions targeting glial activity in MS. Full article

In recent years, gut–brain axis signaling has been recognized as an essential factor modifying behavior, mood, cognition, and cellular viability under physiological and pathological conditions. Consequently, the intestinal microbiome has become a potential therapeutic target in neurological and psychiatric disorders. The microbiota-derived metabolite of tryptophan (Trp), indole-3-propionic acid (IPA), was discovered to target a number of molecular processes and to impact brain function. In this review, we outline the key mechanisms by which IPA may affect neuronal activity and survival and provide an update on the evidence supporting the neuroprotective action of the compound in various experimental paradigms. Accumulating data indicates that IPA is a free radical scavenger, a ligand of aryl hydrocarbon receptors (AhR) and pregnane X receptors (PXR), and an anti-inflammatory molecule. IPA decreases the synthesis of the proinflammatory nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), tumor necrosis factor-α (TNF-α), and other cytokines, reduces the generation of the NLR family pyrin domain containing 3 (NLRP3) inflammasome, and enhances the synthesis of neurotrophic factors. Furthermore, produced in the gut, or administered orally, IPA boosts the central levels of kynurenic acid (KYNA), a neuroprotective metabolite of Trp. IPA reduces the release of proinflammatory molecules in the gut, breaking the gut–inflammation–brain vicious cycle, which otherwise leads to neuronal loss. Moreover, as a molecule that easily enters central compartment, IPA may directly impact brain function and cellular survival. Overall, the gathered data confirms neuroprotective features of IPA, and supports its potential use in high-risk populations, in order to delay the onset and ameliorate the course of neurodegenerative disorders and cognitive impairment. Clinical trials evaluating IPA as a promising therapeutic add-on, able to slow down the progress of neurodegenerative disorders such as Alzheimer’s or Parkinson’s disease and to limit the morphological and behavioral consequences of ischemic stroke, are urgently needed. Full article

Neurodegenerative diseases (NDs) encompass a group of chronic conditions, characterized by neuronal losses in large areas of the brain, leading to cognitive and behavioral impairments. Alzheimer’s Disease (AD), the most common form of dementia, is a progressive ND, characterized by the accumulation of amyloid β and tau protein, entails cognitive decline, neuroinflammation, mitochondrial dysfunction, and blood–brain barrier impairment, with oxidative stress playing a critical role in its pathogenesis. To date, the available pharmacotherapy has shown limited efficacy, and multitarget activity of plant-derived neuroprotective bioactive compounds is currently in focus. This review synthesizes experimental evidence regarding Ocimum species with neuroprotective potential in AD, particularly Ocimum sanctum and Ocimum basilicum. These plants are rich in bioactive compounds including polyphenols, flavonoids, essential oils, and triterpenoids that synergistically scavenge reactive oxygen/nitrogen species, upregulate endogenous antioxidant enzymes (SOD, CAT, and GPx), and reduce lipid peroxidation. Furthermore, these extracts have demonstrated the ability to decrease β-amyloid accumulation and tau protein levels, key pathological features of AD. Even though additional research is required to fully assess their potential as therapeutic agents for NDs, by diving into the specific mechanisms through which they improve neurodegenerative processes, important steps can be made towards this endpoint. Full article

Alzheimer’s disease, a neurodegenerative brain disorder leading to the progressive decline in cognitive functions, is the most common type of dementia. The main risk factor for its development is aging. Recent studies indicate that cellular senescence mechanisms are among the major factors in a heterogeneous aging process. Cellular senescence is characterized by a permanent proliferative arrest. Many factors might initiate senescence, for example, damage of DNA, shortening of telomeres, dysfunction of mitochondria, and oncogene activation. These processes lead to alterations in the morphology and function of senescent cells. Research is still ongoing to identify one universal marker that could detect senescent cells and distinguish them from other non-proliferating cells. Those cells are involved in age-related pathologies through many heterogeneous processes, including secretion of pro-inflammatory senescence-associated secretory phenotype factors, which affect the brain differently. Alzheimer’s disease is an example of a neurodegenerative condition connected to cellular senescence. Senescent cells have been demonstrated to accumulate near Aβ plaques and neurofibrillary tangles. In this review, the multifactorial connection between Alzheimer’s disease and cellular senescence is discussed, including topics such as senescence of astrocytes, defective mitochondria, dysregulation of cellular autophagy, and the role of senescent microglia. Full article

In the context of universal higher education and labor market polarization, undergraduates in universities of applied sciences (UAS) face growing challenges in forming career orientation. Drawing on data from a UAS in China (N = 3138), this study examines how perceived career advising influences students’ career orientation. Three key findings emerge: (1) Only perceived perspective advising (PPA) exhibits significant and direct effects on career orientation, underscoring the developmental value of structured guidance. In contrast, perceived emotional advising (PEA) and perceived growth advising (PGA) show no direct effect. (2) Both PPA and PGA are positively associated with career exploration, whereas PEA exhibits a negative association. This suggests that when advising interactions are overly affective, they inadvertently reduce students’ initiative to explore. (3) Career exploration fully mediates the effects of PEA and PGA, while it partially mediates the effect of PPA. This reflects that different types of career advising influence career orientation through distinct mechanisms, with PEA and PGA relying more heavily on exploratory engagement. The cultural and educational context in China shapes how students respond to different types of career advising. This study offers theoretical and practical insights for building career advising systems to actively foster students’ autonomous, cognitively engaged exploration processes. Full article

Neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS), represent significant global health challenges, affecting millions and straining healthcare systems. These disorders involve progressive neuronal loss and cognitive decline, with incompletely elucidated underlying mechanisms. Chronic neuroinflammation is increasingly recognized as a critical contributor to disease progression. The brain’s resident immune cells, microglia, are central to this inflammatory response. When overactivated, microglia and other immune cells, such as peripheral macrophages, can exacerbate inflammation and accelerate disease development. Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) is a transmembrane receptor of the immunoglobulin superfamily that demonstrates high expression on microglia in the central nervous system. TREM2 serves a vital role in regulating phagocytosis, synaptic pruning, and energy metabolism. This review examines the functions of TREM2 in neurodegenerative diseases and its potential as a therapeutic target, aiming to inform future treatment strategies. Full article

Cognitive flexibility—the ability to adapt cognitive strategies and behavioral responses in changing environments—is a key component of executive function, supporting rule updating and conflict resolution. Individuals with substance addiction often exhibit behavioral rigidity and reduced adaptability, reflecting impairments in this domain. This study examined cognitive flexibility in individuals with methamphetamine dependence through three behavioral tasks—intra-dimensional task switching, extra-dimensional task switching, and the Wisconsin Card Sorting Test (WCST)—in combination with a subjective self-report measure. Results showed that, compared to healthy controls, methamphetamine-dependent individuals demonstrated elevated reaction time switch costs in Intra-dimensional Task Switching and increased accuracy switch costs in Extra-dimensional Task Switching, as well as more perseverative and non-perseverative errors in the WCST. These findings suggested not only reduced performances in explicitly cued rule updating and strategic shifting but also deficits in feedback-driven learning and inflexibility in cognitive set shifting on methamphetamine-dependent individuals. Moreover, their self-reported cognitive flexibility scores were aligned with their objective performance, significantly lower than healthy controls. In summary, these findings revealed consistent cognitive flexibility impairments at both behavioral and subjective levels in individuals with methamphetamine dependence, indicating a core executive dysfunction that may undermine adaptive functioning in real-life contexts. The study offers critical insights into the cognitive mechanisms underlying addiction and provides a theoretical foundation for targeted cognitive interventions. Full article

Congenital heart disease (CHD) is associated with neurodevelopmental and cognitive impairments, but the underlying molecular mechanisms remain unclear. This study investigated cardiac neuronal genomics in CHD using single-nucleus RNA-sequencing data (GSE203274) from 157,273 cardiac nuclei of healthy donors and patients with hypoplastic left heart syndrome (HLHS), Tetralogy of Fallot (TOF), dilated (DCM), and hypertrophic (HCM) cardiomyopathies. The Uniform Manifold Approximation and Projection (UMAP) clustering identified major cardiac cell types, revealing neuron-specific transcriptional programmes. Neuronal populations showed enriched expression of neurodevelopmental disorder-linked genes (NRXN3, CADM2, ZNF536) and synaptic signalling pathways. CHD cardiac neurons exhibited upregulated markers of cognitive dysfunction (APP, SNCA, BDNF) and neurodevelopment regulators (DNMT1, HCFC1) across subtypes. Cardiomyocyte troponin elevation correlated with neuronal exosome receptor expression (TLR2, LRP1), suggesting intercellular communication. Gene ontology analysis highlighted overlaps between cardiovascular disease pathways and neurodevelopmental disorder signatures in CHD neurons. These findings provide the first neuro-genomic map of cardiac neurons in CHD, linking cardiac pathology to neural outcomes through transcriptional dysregulation. Further, the systemic analysis of clinical findings in CHD further supports the risk of neurodevelopmental impacts. In summary, this study identifies transcriptional dysregulation within cardiac neurons in CHD and, together with a systemic analysis of clinical data, provides molecular evidence linking cardiac pathology to neurodevelopmental and cognitive impairments. Full article

The effectiveness of industrial heritage conservation relies on the collaborative efforts of multiple stakeholders. However, existing research lacks systematic exploration of stakeholders’ perception of heritage value and the pathways through which such perception translates into conservation behaviors. This study takes the Shaanxi section of the Baocheng Railway, a typical linear industrial heritage, as a case study. Based on the “Cognitive Appraisal Theory of Emotions” (CATE) theory, it examines the mechanism between heritage value perception, place identity, and heritage responsibility behavior. Through structural equation modeling (SEM) analysis of 414 questionnaire responses, the study finds that heritage value perception of the Baocheng Railway’s Shaanxi section not only significantly positively influences stakeholders’ place identity but also directly promotes the formation of heritage responsibility behavior. Among these, the perception of social value has the most pronounced impact on place identity and responsibility behavior. Furthermore, place identity plays a key mediating role between value perception and responsibility behavior. This study introduces the CATE theory into industrial heritage research, revealing the mechanism of behavior generation from the path of “cognition → emotion → behavior”. By focusing on linear industrial heritage sites, it broadens the scope of heritage research and highlights the central role of social value perception in driving conservation intentions and behaviors. The study further enriches research on heritage responsibility behavior, and the proposed theoretical model and findings can provide theoretical references for the management and conservation of industrial heritage. Full article

Our paper investigates how emotions and cognitive biases shape small investors’ decisions in a bearish market or are perceived as such. Using semi-structured interviews and a focus group, we analyze the behavior of eight management science students engaged in a three-day trading simulation with virtual portfolios. Our findings show that emotions are active forces influencing judgment. Fear, often escalating into anxiety, was pervasive in response to losses and uncertainty, while frustration and powerlessness frequently led to decision paralysis. Early successes sometimes generated happiness and pride but also resulted in overconfidence and excessive risk-taking. These emotional dynamics contributed to the emergence of cognitive biases such as loss aversion, anchoring, confirmation bias, overconfidence, familiarity bias and herd behavior. Emotions often acted as precursors to biases, which then translated into specific decisions—such as holding losing positions, impulsive “revenge” trades or persisting with unsuitable financial strategies. In some cases, strong emotions bypassed cognitive biases and directly drove behavior. Social comparison through portfolio rankings also moderated responses, offering both comfort and additional pressure. By applying a qualitative perspective—not commonly used in behavioral finance—our study highlights the dynamic chain of emotions → biases → decisions and the role of social context. While limited by sample size and the short simulation period, this research provides empirical insights into how psychological mechanisms shape investment behavior under stress, offering avenues for future quantitative studies. Full article

Autism Spectrum Disorder presents one of the most complex challenges in contemporary neuroscience. This review adopts an unconventional narrative structure, drawing inspiration from song titles by The Beatles to explore the multifaceted biological, developmental, and social dimensions of autism. Spanning historical perspectives to embryonic origins and adult cognition, we examine critical topics including cortical folding, sensory processing, and the contributions of various brain regions such as the cerebellum and brainstem. The role of mirror neurons and other neural systems in shaping social behavior is discussed, alongside insights from animal models that have advanced our understanding of autism’s underlying mechanisms. Ultimately, this manuscript argues that autism is not merely a biomedical challenge, but a broader societal issue intersecting with education, human rights, and identity. Following the long and winding road of scientific discovery, we advocate for a more empathetic, interdisciplinary, and human-centered approach to autism research. Though the path ahead remains uncertain, every step informed by evidence and driven by collaboration brings us closer to deeper understanding, greater inclusion, and more effective support. Full article

Background/Objectives: This study presents Co.Ge. a Cognitive Generative digital platform for cognitive testing. We describe its architecture and report a pilot study. Methods: Co.Ge. is modular and web-based (Laravel-PHP, MySQL). It can be used to administer a variety of validated cognitive tests, facilitating administration and scoring while capturing Reaction Times (RTs), trial-level responses, audio, and other data. Co.Ge. includes a study-management dashboard, Application Programming Interfaces (APIs) for external integration, encryption, and customizable options. In this demonstrative pilot study, clinical and non-clinical participants completed an Auditory Verbal Learning Test (AVLT), which we analyzed using accuracy, number of recalled words, and reaction times as outcomes. We collected ratings of user experience with a standardized rating scale. Analyses included Frequentist and Bayesian Generalized Linear Mixed Models (GLMMs). Results: Mean ratings of user experience were all above 4/5, indicating high acceptability (n = 30). Pilot data from AVLT (n = 123, 60% clinical, 40% healthy) showed that Co.Ge. seamlessly provides standardized clinical ratings, accuracy, and RTs. Analyzing RTs with Bayesian GLMMs and Gamma distribution provided the best fit to data (Leave-One-Out Cross-Validation) and allowed to detect additional associations (e.g., education) otherwise unrecognized using simpler analyses. Conclusions: The prototype of Co.Ge. is technically robust and clinically precise, enabling the extraction of high-resolution behavioral data. Co.Ge. provides traditional clinical-oriented cognitive outcomes but also promotes complex generative models to explore individualized mechanisms of cognition. Thus, it will promote personalized profiling and digital phenotyping for precision psychiatry and rehabilitation. Full article