Criticality is Associated with Future Psychotherapy Response in Patients with Post-Traumatic Stress Disorder-A Pilot Study.

Background: Trauma-focused psychotherapy is treatment of choice for post-traumatic stress disorder (PTSD). However, about half of patients do not respond. Recently, there is increased interest in brain criticality, which assesses the phase transition between order and disorder in brain activity.

Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis.

Background And Objectives: Pneumonia portrays a critical health concern in geriatrics. Geriatric pneumonia can lead to changes on other complications, in which hypoalbuminemia is a common complication. However, few studies have looked at the impact of pneumonia on the course of hypoalbuminemia and predicting.

Unveiling the interplay between soluble guanylate cyclase activation and redox signalling in stroke pathophysiology and treatment.

Soluble guanylate cyclase (sGC) stands as a pivotal regulatory element in intracellular signalling pathways, mediating the formation of cyclic guanosine monophosphate (cGMP) and impacting diverse physiological processes across tissues. Increased formation of reactive oxygen species (ROS) is widely recognized to modulate cGMP signalling. Indeed, oxidatively damaged, and therefore inactive sGC, contributes to poor vascular reactivity and more severe neurological damage upon stroke.

Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.

Biological relatedness is a key consideration in studies of behavior, population structure, and trait evolution. Except for parent-offspring dyads, pedigrees capture relatedness imperfectly. The number and length of identical-by-descent DNA segments (IBD) yield the most precise relatedness estimates.

Advanced control parameter optimization in DC motors and liquid level systems.

In recent times, there has been notable progress in control systems across various industrial domains, necessitating effective management of dynamic systems for optimal functionality. A crucial research focus has emerged in optimizing control parameters to augment controller performance. Among the plethora of optimization algorithms, the mountain gazelle optimizer (MGO) stands out for its capacity to emulate the agile movements and behavioral strategies observed in mountain gazelles.

Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain.

The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. This paper presents a novel encryption technique that integrates the Deep Convolutional Generative Adversarial Networks (DCGAN) and Virtual Planet Domain (VPD) approach to enhance the protection of medical images. The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC).

Bias in mobility datasets drives divergence in modeled outbreak dynamics.

Background: Digital data sources such as mobile phone call detail records (CDRs) are increasingly being used to estimate population mobility fluxes and to predict the spatiotemporal dynamics of infectious disease outbreaks. Differences in mobile phone operators' geographic coverage, however, may result in biased mobility estimates.

Methods: We leverage a unique dataset consisting of CDRs from three mobile phone operators in Bangladesh and digital trace data from Meta's Data for Good program to compare mobility patterns across these sources.

Validation of the Neuroception of Psychological Safety Scale (NPSS) Among Health and Social Care Workers in the UK.

Psychological safety is essential for rest, recovery, and fostering social connections, particularly for health and social care workers (HSCWs) who frequently operate in high-pressure environments. These workers are prone to traumatic stress, which can elevate their sense of threat and undermine their psychological safety. This study aimed to validate the Neuroception of Psychological Safety Scale (NPSS) among HSCWs in the UK ( = 443).

Effect of Growth Mindset on Mathematics Achievement Among Chinese Junior High School Students: The Mediating Roles of Academic Buoyancy and Adaptability.

A growth mindset is crucial for students' academic development. Many studies have demonstrated the influence of a growth mindset on mathematics achievement, but the mediating mechanisms underlying this relationship still warrant further exploration. This study investigates the mediating roles of students' academic buoyancy and adaptability in the relationship between the student growth mindset and mathematics achievement within the Chinese cultural context.

Peripheral Single-Cell Immune Characteristics Contribute to the Diagnosis of Alzheimer's Disease and Dementia With Lewy Bodies.

Objective: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) are common neurodegenerative diseases with distinct but overlapping pathogenic mechanisms. The clinical similarities between these diseases often result in high misdiagnosis rates, leading to serious consequences. Peripheral blood mononuclear cells (PBMCs) are easy to collect and can accurately reflect the immune characteristics of both DLB and AD.

Study protocol: A national cross-sectional study on psychology and behavior investigation of Chinese residents in 2023.

Introduction: This study protocol specifies the primary research line and theoretical framework of the 2023 Survey of the Psychology and Behavior of the Chinese Population. It aims to establish a consistent database of Chinese residents' psychological and behavioral surveys through multi-center and large-sample cross-sectional surveys to provide robust data support for developing research in related fields. It will track the public's physical and psychological health more comprehensively and systematically.

Rat Models in Post-Traumatic Stress Disorder Research: Strengths, Limitations, and Implications for Translational Studies.

Post-Traumatic Stress Disorder (PTSD) is a multifaceted psychiatric disorder triggered by traumatic events, leading to prolonged psychological distress and varied symptoms. Rat models have been extensively used to explore the biological, behavioral, and neurochemical underpinnings of PTSD. This review critically examines the strengths and limitations of commonly used rat models, such as single prolonged stress (SPS), stress-re-stress (S-R), and predator-based paradigms, in replicating human PTSD pathology.

Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM.

Background: Missing observations within the univariate time series are common in real-life and cause analytical problems in the flow of the analysis. Imputation of missing values is an inevitable step in every incomplete univariate time series. Most of the existing studies focus on comparing the distributions of imputed data.

Unveiling Neolithic Economic Behavior: A Novel Approach to Chert Procurement at Çukuriçi Höyük, Western Anatolia.

Unlabelled: The expansion of the Neolithic way of life triggered the most profound changes in peoples' socioeconomic behaviors, including how critical resources for everyday life were managed. Recent research spearheaded by ancient DNA analysis has greatly contributed to our understanding of the main direction of Neolithisation spreading from western Anatolia into central Europe. Due to the diverse processes involved in Neolithisation, which resulted in a high diversity of regional and local phenomena, the underlying mechanisms of these developments are still largely unexplored.

Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women's Interagency HIV Study?

This study examined the association between cognitive intra-individual variability (IIV), a non-mean-based indicator of underlying neuropathology, and self-reported everyday functioning of 1,086 women with HIV (WWH) and 494 socio-demographically similar women without HIV (WWoH). Objective cognitive performance across seven domains and the self-rated Lawton & Brody scale of Instrumental Activities of Daily Living (IADL) were assessed among participants of the Women's Interagency HIV Study. Two types of cognitive IIV were calculated by taking the standard deviation across seven cognitive domains to calculate dispersion: 1) intra-individual standard deviation (denoted as IIV) and 2) coefficient of variation (denoted as IIV).

Human AI collaboration for unsupervised categorization of live surgical feedback.

Formative verbal feedback during live surgery is essential for adjusting trainee behavior and accelerating skill acquisition. Despite its importance, understanding optimal feedback is challenging due to the difficulty of capturing and categorizing feedback at scale. We propose a Human-AI Collaborative Refinement Process that uses unsupervised machine learning (Topic Modeling) with human refinement to discover feedback categories from surgical transcripts.

Co-evolution of behaviour and beliefs in social dilemmas: estimating material, social, cognitive and cultural determinants.

Understanding and predicting human cooperative behaviour and belief dynamics remains a major challenge both from the scientific and practical perspectives. Because of the complexity and multiplicity of material, social and cognitive factors involved, both empirical and theoretical work tends to focus only on some snippets of the puzzle. Recently, a mathematical theory has been proposed that integrates material, social and cognitive aspects of behaviour and beliefs dynamics to explain how people make decisions in social dilemmas within heterogeneous groups.

Cognitive Remediation in Patients With Bipolar Disorder: A Randomized Trial by Sequential tDCS and Navigated rTMS Targeting the Primary Visual Cortex.

Background: Non-invasive brain stimulation (NIBS), such as transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS), has emerged as a promising alternative in the precise treatment of clinical symptoms, such as the cognitive impairment of bipolar disorder (BD). Optimizing the neurocognitive effects by combining tDCS and rTMS to strengthen the clinical outcome is a challenging research issue.

Objective: In this randomized, controlled trial, we first combined tDCS and neuronavigated rTMS targeting the V1 region to explore the efficacy on neurocognitive function in BD patients with depressive episodes.

Flexibility of intrinsic neural timescales during distinct behavioral states.

Recent neuroimaging studies demonstrate a heterogeneity of timescales prevalent in the brain's ongoing spontaneous activity, labeled intrinsic neural timescales (INT). At the same time, neural timescales also reflect stimulus- or task-related activity. The relationship of the INT during the brain's spontaneous activity with their involvement in task states including behavior remains unclear.

The Lasting Impact of Social Isolation: Behavioral Insights From Former Pet and Entertainer Chimpanzees in a Sanctuary in Spain.

Human fascination with chimpanzees has driven extensive research on the species, but also led to exploitation by private owners and entertainment industries. These animals often suffer species-specific inadequate conditions, which can result in the development and display of abnormal behaviors even after rescue. These behaviors highlight the importance for zoos and sanctuaries to actively prevent worsening the effects of previous inadequate treatment by providing apes with social and stimulating environments that support their recovery.

A benchmark for computational analysis of animal behavior, using animal-borne tags.

Background: Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different machine learning techniques in this domain. This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data.

Dealing With the Complexity of Effective Population Size in Conservation Practice.

Effective population size () is one of the most important parameters in evolutionary biology, as it is linked to the long-term survival capability of species. Therefore, greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate rely on various assumptions, including no immigration, panmixia, random sampling, absence of spatial genetic structure, and/or mutation-drift equilibrium.

Estradiol elicits distinct firing patterns in arcuate nucleus kisspeptin neurons of females through altering ion channel conductances.

Hypothalamic kisspeptin (Kiss1) neurons are vital for pubertal development and reproduction. Arcuate nucleus Kiss1 (Kiss1) neurons are responsible for the pulsatile release of gonadotropin-releasing hormone (GnRH). In females, the behavior of Kiss1 neurons, expressing Kiss1, neurokinin B (NKB), and dynorphin (Dyn), varies throughout the ovarian cycle.