Clinical intelligence & editorial.

PLOS

Effectiveness of LGBTQ targeted cognitive behavioral therapy on mental health outcomes: A systematic review and meta-analysis protocol

Introduction: Sexual and gender minority populations experience disproportionately high rates of mental disorders due, in large part, to their chronic exposure to stigma, discrimination, and minority stress. Cognitive behavioral therapy (CBT) is an established evidence-based psychotherapy; however, conventional CBT was primarily developed among predominantly cisgender, heterosexual individuals and not often addresses identity-specific stressors relevant to LGBTQ individuals. Emerging adaptations...

Mental Health

J. Doris Chi, Yi Yang, Shi-Yi Wang, Kate Nyhan, Skyler D. Jackson• November 10, 2026

PLOS

Psychosocial influences on hypertension in Southeastern Nigeria: A mixed-methods study protocol

Introduction: The Southeastern region of Nigeria faces a severe public health challenge from hypertension due to its high prevalence. Psychosocial factors including perceived stress, anxiety, depression, coping mechanisms, and social support play essential roles in hypertension development and health behaviour, yet there has been limited scholarly attention to these determinants in Nigerian and international qualitative research. This study addresses this evidence gap by investigating the psycho...

Hypertension

Awele Rosemary Ebigwei Omeda, Marcus Chilaka, Masoud Mohammadnezhad, Eleftheria Vaportzis• November 10, 2026

PLOS

Correction: Addressing risk factors for hypertensive disorders in pregnancy: A case study of a quality improvement program in two states in Nigeria

The Funding statement for this article is incorrect. The correct Funding statement is as follows: This study was financially supported by MSD for Mothers in the form of a grant awarded to and administered to the authors by Jhpiego Corporation. No additional external funding was received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The Competing Interests statement for this article is incorrect. The...

Hypertension

Ugo Okoli, Sylverius Obafemi, Comfort Okpe, Kendra Njoku, Nneka Mobisson, Chinyere Uzoama, Victoria Omoera, Emmanuel Ugwa, Kathleen Hill• November 10, 2026

PLOS

Estimating rates of SARS-CoV-2 lineage spread using graph spectra from genetic sequence data

The modern enormous scale of viral genomic data, as exemplified by SARS-CoV-2, presents unique opportunities for epidemic inference and real-time monitoring. A key challenge is to wade through the extremely large stream of sequence data in order to identify small subsets of sequences that may represent rapid population growth of newly emerged lineages. To address this challenge, we developed a new approach that combines techniques in graph theory and machine learning. We represent distances betw...

Genetics

Emma E. Goldberg, Michael D. Kupperman, Ruian Ke• November 10, 2026

PLOS

Suicide risk factors in nursing students: Depressive symptoms, academic burnout and academic efficacy after the pandemic

The present study analyze the prevalence and factors associated with suicide risk in nursing students in the post-pandemic context, considering academic burnout, academic engagement, and symptoms of depression, anxiety, and stress as predictors. through a cross-sectional and correlational study conducted in a public university in Northern Chile. with a168 nursing undergraduates’ sample. Validated instruments were administered, including the Beck Hopelessness Scale, the Utrecht Work Engagement Sc...

Depression

Rodrigo-Alejandro Ardiles-Irarrázabal, Pablo Alejandro Pérez-Díaz, Juan-Carlos Pérez-González, Yenny Valdivia-Rojas, Miguel Valencia-Contrera• November 10, 2026

PLOS

Conceptualizing the process of experiential acceptance during an episode of anxiety: A qualitative study of individuals with prior experience in mindfulness- and acceptance-based interventions

Introduction: Experiential acceptance refers to the capacity to be open to internal experiences without attempting to change or avoid them. Although acceptance is a core emotion regulation strategy within mindfulness- and acceptance-based interventions (MABIs) and a protective factor for mental health, its conceptualization and implementation remain unclear and ambiguous. The aim of this study was to clarify and develop a model of accepting anxiety as experienced by individuals with prior experi...

Anxiety

Julie Ribeyron, Nathalie Duriez, Rebecca Shankland• November 10, 2026

PLOS

Correction: Stratified and geographic patterns of depression and anxiety in Mozambican women: Mental health policy implications

Tables 3–5 were uploaded incorrectly. Please see the correct Tables 3–5 here. 10.1371/journal.pone.0362565.t003 Table 3 Survey-weighted multivariable logistic regression analysis of factors associated with anxiety and depressive symptoms among women (N= 13,183). Variables Anxiety symptoms (AOR [95% CI]) p-value Depressive symptoms (AOR [95% CI]) p-value Women Age 15–19 Ref – Ref – 20–24 1.28 [0.97, 1.69] 0.075 1.24 [0.94, 1.65] 0.134 25–29 1.43 [1.03, 1....

Anxiety

Md Salek Miah• November 10, 2026

PLOS

Mathematical modeling and optimal control of immune responses in multiple sclerosis

Multiple sclerosis (MS) is a chronic autoimmune disease characterized by immune-mediated destruction of the myelin sheath in the central nervous system. In this work, we develop and analyze a mathematical model describing the interactions among myelin, autoreactive immune cells, regulatory immune cells, and treatment. A fast-time reduction of the slow–fast model yields an analytically tractable immune subsystem that captures the principal immune interactions. We establish the existence and stabi...

Multiple Sclerosis

Mo’tassem Al-arydah• November 10, 2026

PLOS

Retraction: Fasciola hepatica excretory-secretory products attenuate demyelination and reduce neuroinflammation in the Cuprizone –induced multiple sclerosis model

Following the publication of this article [ 1 ], the corresponding author requested a correction to Fig 6C and 6D, after concerns were raised about unusually repetitive features appearing in these panels. The corresponding author stated that internal microscope-generated labels were removed from the Fig 6C and 6D image by covering the labelled areas with a portion of the adjacent image. They provided what they described as an original unedited image underlying Fig 6D, and a re-stained and reimag...

Multiple Sclerosis

The PLOS One Editors• November 10, 2026

PLOS

Retraction: The mediating roles of personal mastery and health-promoting behaviors in the relationship between self-regulatory fatigue and quality of life among patients with type 2 diabetes mellitus

Following publication of [ 1 ], the corresponding author ZW contacted PLOS requesting retraction of their article due to errors in the methodology and difficulty reproducing the data. During editorial follow-up, it was also determined that this article contains a substantial degree of overlap with a previously published article [ 2 ] with regard to the reported abstract, Figs 1-2, and Tables 1-6. An editorial assessment by PLOS has established that the extent of the overlap is such that this ar...

Diabetes

The PLOS One Editors• November 9, 2026

PLOS

Deep learning optimisation for cardiology: Neural Architecture Search-driven arrhythmia classification with electrocardiograms

Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts for roughly 50% of all cardiac deaths. The electrocardiogram (ECG) is widely used for diagnosing cardiac disease. However, the complexity of interpretation limits the ECG’s efficacy. Modern deep learning methods can assist clinicians in diagnosis. We applied Neural Architecture Search (NAS) to identify optimal deep learning architectures for classifying cardiac arrhythmias with ECGs. We applied th...

Cardiology

Erik Vanegas Müller, Arese Joe-Oshodi, Abhirup Banerjee, Mauricio Villarroel• November 6, 2026

PLOS

Fuzzy-clustering–based multi-scale intrusion detection for the industrial internet of things

The Industrial Internet of Things (IIoT) faces severe intrusion-detection challenges under multi-protocol, multi-device, and massive heterogeneous traffic, especially extreme class imbalance and poor minority-class detection. To address this, we propose a fuzzy-clustering-based multi-scale intrusion detection model (FPBW-IDS). At the data level, we introduce boundary-prioritized FCM-SMOTE: fuzzy memberships distinguish core vs. border samples, interpolation is prioritized in high-membership regi...

Scales

Yuhan Yang, Damin Zhang, Qing He, Mu Lin, Ji Zhao• November 6, 2026