Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions.

Artificial intelligence promises to revolutionize mental health care, but small dataset sizes and lack of robust methods raise concerns about result generalizability. To provide insights on minimal necessary data set sizes, we explore domain-specific learning curves for digital intervention dropout predictions based on 3654 users from a single study (ISRCTN13716228, 26/02/2016). Prediction performance is analyzed based on dataset size (N = 100-3654), feature groups (F = 2-129), and algorithm choice (from Naive Bayes to Neural Networks).

Correction: Clinical Classification of Cancer Cachexia: Phenotypic Correlates in Human Skeletal Muscle.

[This corrects the article DOI: 10.1371/journal.pone.

Identification of TAK-756, A Potent TAK1 Inhibitor for the Treatment of Osteoarthritis through Intra-Articular Administration.

Osteoarthritis (OA) is a chronic and degenerative joint disease affecting more than 500 million patients worldwide with no disease-modifying treatment approved to date. Several publications report on the transforming growth factor β-activated kinase 1 (TAK1) as a potential molecular target for OA, with complementary anti-catabolic and anti-inflammatory effects. We report herein on the development of TAK1 inhibitors with physicochemical properties suitable for intra-articular injection, with the aim to achieve high drug concentration at the affected joint, while avoiding severe toxicity associated with systemic inhibition.

Treatment regimens for laryngeal and hypopharyngeal squamous cell carcinoma: a "real life" multicenter study of 2307 patients.

Objective: This retrospective multicenter study aimed to evaluate surgical versus conservative treatment in patients with hypopharyngeal and laryngeal cancer under real world conditions.

Methods: This study included 2307 patients diagnosed with hypopharyngeal or laryngeal squamous cell carcinoma (SCC) in five German tertiary head and neck centers between 01/2004 and 12/2014. Overall, 783 patients with advanced SCC consecutively underwent laryng(opharyng)ectomy (L(P)E).

PandaMom - Feasibility and acceptability of an internet- and mobile-based intervention to enhance peripartum mental well-being and to prevent postpartum depression.

Background: Mental disorders during pregnancy and the postpartum period can have far-reaching consequences. To enhance peripartum mental well-being and prevent peripartum mental disorders, internet- and mobile-based interventions appear promising. They can overcome help-seeking barriers associated with face-to-face conditions and have proven to be effective.

Body size predicts ontogenetic nitrogen stable-isotope (δN) variation, but has little relationship with trophic level in ectotherm vertebrate predators.

Large predators have disproportionate effects on their underlying food webs. Thus, appropriately assigning trophic positions has important conservation implications both for the predators themselves and for their prey. Large-bodied predators are often referred to as apex predators, implying that they are many trophic levels above primary producers.

Efficacy of an Internet- and Mobile-Based Intervention for Subclinical Anxiety and Depression (ICare Prevent) with Two Guidance Formats: Results from a Three-Armed Randomized Controlled Trial.

Introduction: Limited research exists on intervention efficacy for comorbid subclinical anxiety and depressive disorders, despite their common co-occurrence. Internet- and mobile-based interventions (IMIs) are promising to reach individuals facing subclinical symptoms.

Objective: This study aimed to evaluate the efficacy of a transdiagnostic and self-tailored IMI in reducing subclinical anxiety and depressive symptom severity with either individualized (IG-IMI) or automated (AG-IMI) guidance compared to a waitlist control group with care-as-usual access (WLC).

Using web-based, guided self-help to bridge the waiting time for face-to-face out-patient treatment for bulimic-spectrum disorders: randomised controlled trial.

Background: Although effective treatments for bulimic-spectrum eating disorders exist, access is often delayed because of limited therapist availability and lengthy waiting lists. Web-based self-help interventions have the potential to bridge waiting times for face-to-face treatment and overcome existing treatment gaps.

Aims: This study aims to assess the effectiveness of a web-based guided self-help intervention (everyBody Plus) for patients with bulimia nervosa, binge eating disorder and other specified feeding and eating disorders who are waiting for out-patient treatment.

Nurturing innovation, catalyzing change: Honoring the legacy of Dr. C. Barr Taylor in the eating disorders field.

This Virtual Issue of the International Journal of Eating Disorders honors the legacy of the late Dr. C. Barr Taylor in the eating disorders (EDs) field.

Individual differences in scientists' aesthetic disposition, aesthetic experiences, and aesthetic sensitivity in scientific work.

Introduction: The role of personality in shaping engagement with aesthetics in science has been almost entirely unexplored. Whereas artists and arts settings (e.g.

"Factors associated with provider unwillingness to perform induced abortion in Argentina: A cross-sectional study in four provinces following the legalization of abortion on request".

Background: The 2020 Law on Access to the Voluntary Interruption of Pregnancy is a landmark piece of legislation regarding access to abortion in Argentina. Under the new law, abortion is legal up to 14 weeks and 6 days gestation, with exceptions made to the gestational age limit to save a woman´s life, to preserve a woman´s health, and in case of rape. However, widespread refusal to provide care by authorized health providers (due to conscientious objection or lack of awareness of the new law) could hinder access to legal abortion.

Investigating perspectives on e-health interventions to enhance maternal mental well-being: Results of a stakeholder interview.

Peripartum mental disorders are highly prevalent conditions and associated with adverse outcomes for the mother, the infant and the whole family. Despite the high burden, help-seeking is low. E-mental health interventions could overcome help-seeking barriers and thus improve perinatal mental health.

Insomnia symptoms in adulthood. Prevalence and incidence over 25 years.

Objective/background: Despite its high prevalence, little information is available about the course of insomnia symptoms over the life span. In this study, we analyzed the self-reported insomnia symptoms of the general population over more than 20 years, covering young up to middle adulthood.

Patients/methods: Data from waves 12 to 32 of the Saxon Longitudinal Study (1996-2021), were analyzed.

Bilateral Keloid Formation after Otoplasty in the Presence of Prolonged Mask Wearing.

Prominent ears are the most frequently observed congenital deformity of the head and neck. Various techniques have been proposed for their aesthetic correction. Typically, surgical treatment for protruding ears involves a combination of suture, cutting, and scoring techniques.

Beauty in biology: An empirical assessment.

'Beauty' is not a word typically associated with science. Nevertheless, numerous scientists in recent years have expounded on the role of beauty in science. These writings tend to be largely concentrated in theoretical physics.

Lacrimal and meibomian gland evaluation in dry eye disease: A mini-review.

Lacrimal and meibomian glands contribute to the aqueous and lipid components of tear film, respectively. Their evaluation remains central to diagnosing and managing dry eye disease (DED). The review discusses the differences and reliability of various diagnostic tests and commercially available devices used for DED diagnosis.

Effectiveness of an App-Based Short Intervention to Improve Sleep: Randomized Controlled Trial.

Background: A growing body of evidence for digital interventions to improve sleep shows promising effects. The interventions investigated so far have been primarily web-based; however, app-based interventions may reach a wider audience and be more suitable for daily use.

Objective: This study aims to evaluate the intervention effects, adherence, and acceptance of an unguided app-based intervention for individuals who wish to improve their sleep.

A pilot randomized controlled trial of a cognitive-behavioral therapy guided self-help mobile app for the post-acute treatment of anorexia nervosa: A registered report.

Introduction: Relapse following acute treatment for anorexia nervosa (AN) is common. Evidence suggests cognitive-behavioral therapy (CBT) may be useful in the post-acute period, but few patients have access to trained providers. mHealth technologies have potential to increase access to high-quality care for AN, including in the post-acute period.

Challenges in Recruiting University Students for Web-Based Indicated Prevention of Depression and Anxiety: Results From a Randomized Controlled Trial (ICare Prevent).

Background: Depression and anxiety are common mental health conditions in college and university student populations. Offering transdiagnostic, web-based prevention programs such as ICare Prevent to those with subclinical complaints has the potential to reduce some barriers to receiving help (eg, availability of services, privacy considerations, and students' desire for autonomy). However, uptake of these interventions is often low, and accounts of recruitment challenges are needed to complement available effectiveness research in student populations.

Angiopoietin-like 3-derivative LNA043 for cartilage regeneration in osteoarthritis: a randomized phase 1 trial.

Osteoarthritis (OA) is a common, debilitating, chronic disease with no disease-modifying drug approved to date. We discovered LNA043-a derivative of angiopoietin-like 3 (ANGPTL3)-as a potent chondrogenesis inducer using a phenotypic screen with human mesenchymal stem cells. We show that LNA043 promotes chondrogenesis and cartilage matrix synthesis in vitro and regenerates hyaline articular cartilage in preclinical OA and cartilage injury models in vivo.

Regression analyses of the data sets for the analysis of decomposition error in discrete-time open tandem queues.

The data sets and regression models presented here are related to the article "Point and interval estimation of decomposition error in discrete-time open tandem queues" [1]. The data sets are the first to analyze the approximation quality of the discrete-time decomposition approach and contain independent and dependent (explanatory) variables for the analysis of decomposition error, which were obtained using discrete-time queueing models and discrete-event simulation. Independent variables are the utilization parameters of the queues, and variability parameters of the service and arrival processes.