Adm Policy Ment Health. 2026 Feb 21. doi: 10.1007/s10488-026-01492-z. Online ahead of print.
NO ABSTRACT
PMID:41721949 | DOI:10.1007/s10488-026-01492-z
Category: Nevin Manimala
Bull Math Biol. 2026 Feb 21;88(3):42. doi: 10.1007/s11538-026-01593-8.
ABSTRACT
This study explores the role of mass testing in controlling the COVID-19 pandemic using an age-stratified compartmental model. The model evaluates the impact of different testing strategies on the pandemic’s reproduction number, , while also considering social distancing measures and demographic characteristics. The analysis highlights the importance of combining mass testing with isolation strategies to reduce the spread of the virus. The simulations demonstrate that in countries characterized by high levels of elderly cohabitation with younger individuals, vertical isolation is insufficient; horizontal isolation with work restrictions, alongside testing and susceptibility reduction measures, is crucial. For aged developed countries, where cohabitation of the elderly with younger individuals is less prevalent, and for least developed countries, where the population has a predominantly youthful age structure, pandemic control is more feasible with fewer tests. The study also emphasizes the critical role of identifying asymptomatic cases to achieve optimal epidemic control. Lastly, the cost-effectiveness of various testing strategies is examined, providing insights for public health policy decision-making.
PMID:41721946 | DOI:10.1007/s11538-026-01593-8
Bull Math Biol. 2026 Feb 21;88(3):44. doi: 10.1007/s11538-026-01608-4.
ABSTRACT
The effects of external perturbations (or disorder) in the Hopf bifurcations of a central pattern generator (CPG) network of neurons that serves as a model for the circuit realization of ANIBOT-a biologically-inspired animal robot with four legs-are studied, analytically and computationally, from the standpoint of homeostasis. In particular, we employ recent developments in the mathematical description of homeostasis, e.g., input-output functions, to explore the CPG response to perturbations of the network connectivity, the internal dynamics of the neurons, and electronic noise as it arises in the circuit realization of ANIBOT. The patterns of locomotion (Walk, Jump, Trot, Bound, Pace, and Pronk) are controlled, mainly, by the phase dynamics of a CPG network. The results show that with the exception of the Walk and Jump gaits, the phase dynamics of all other gaits exhibit perfect homeostatic responses. In addition, a distinctive feature of the network dynamics is that, under certain conditions, the external perturbations can lead to the appearance of certain patterns, which are absent in the unperturbed system, i.e., disorder-induced pattern formation.
PMID:41721944 | DOI:10.1007/s11538-026-01608-4
J Mol Neurosci. 2026 Feb 21;76(1):37. doi: 10.1007/s12031-026-02486-0.
ABSTRACT
There is an urgent need for early and accurate biomarkers of neurodegenerative disorders. Due to the high innervation and accessibility of the skin, a skin biopsy is a minimally invasive method of detecting phosphorylated α-synuclein (p-α-syn) and assessing intraepidermal nerve fiber density (IENFD). We analyzed biopsies taken from the back and the leg of patients with parkinsonian syndromes (Park.sy.), α-synucleinopathies, multiple system atrophies (MSA), tauopathies, and other neurological disorders, as well as from healthy controls. Double immunofluorescence was performed for p-α-syn (Ser129) and protein gene product 9.5 (PGP 9.5), alongside quantitative IENFD assessment. p-α-syn was significantly more prevalent in the patient groups than in the control group. The highest prevalence was observed in patients with parkinsonian syndromes, α-synucleinopathies and MSA. Tauopathies showed preferential paravertebral positivity. Reduction or absence of IENFD was most pronounced in tauopathies (75%), while IENFD was most commonly preserved in MSA (83.3%), indicating that disease-specific patterns of peripheral nerve involvement are exhibited. p-α-syn positivity was found to correlate with shorter disease duration, suggesting its potential as an early biomarker. Combined with olfactory testing, cutaneous markers improved diagnostic discrimination. Our findings support the use of skin biopsies as a promising clinical tool in diagnosing biomarker-based neurodegenerative diseases.
PMID:41721941 | DOI:10.1007/s12031-026-02486-0
Bull Math Biol. 2026 Feb 21;88(3):43. doi: 10.1007/s11538-026-01606-6.
ABSTRACT
Rooted phylogenetic networks allow biologists to represent evolutionary relationships between present-day species by revealing ancestral speciation and hybridization events. A convenient and well-studied class of such networks are ‘tree-child networks’ and a ‘ranking’ of such a network is a temporal ordering of the ancestral speciation and hybridization events. In this short note, we investigate the question of counting such rankings on any given binary (or semi-binary) tree-child network. We also investigate the relationship between rankable tree-child networks and the class of ‘normal’ networks. Finally, we provide an explicit asymptotic expression for the expected number of rankings of a tree-child network chosen uniformly at random.
PMID:41721936 | DOI:10.1007/s11538-026-01606-6
Neurochem Res. 2026 Feb 21;51(2):83. doi: 10.1007/s11064-026-04681-2.
ABSTRACT
Major depressive disorder (MDD) is a prevalent and complex condition with limited treatment success in many patients. Photobiomodulation (PBM), particularly transcranial PBM (tPBM) using red to near-infrared light, has emerged as a promising non-invasive intervention. However, optimal parameters and precise mechanisms remain unclear. This research aimed to analyze the effects of transcranial photobiomodulation (red and infrared) on behavioral and biological parameters related to MDD in a chronic mild stress (CMS) model. Male Wistar rats were exposed to CMS for five weeks and subsequently categorized into two groups-resilient (CMS-R) and susceptible (CMS-S)-based on their performance in the sucrose consumption test (SCT). The CMS-S group was further divided into three subgroups: (1) sham treatment, (2) tPBM red (600 nm), and (3) tPBM infrared (840 nm). A control group of non-stressed animals was included for baseline comparisons. Biological measures included lipid damage (TBARS), antioxidant defense (TEAC), mitochondrial complex IV activity (CCO), and nitric oxide (NO) concentration in the prefrontal cortex and blood were measured. As expected, post-tPBM treatment (both red and infrared groups) exhibited increased sucrose consumption compared to the sham (p < 0.001). The red and infrared presented higher serum TEAC levels than the sham and control groups, but these effects did not reach statistical significance (p = 0.306). In contrast, the red group showed lower peripheral TBARS levels than the sham group (p = 0.0048); such effect was similar to the control non-stress group. The infrared group showed higher NO levels within the hippocampus than the sham group p = 0.0134) and higher prefrontal CCO activity levels than the red group (p = 0.012), which was similar to the control non-stress group. Our study demonstrated that animals treated with tPBM using red (600 nm) or infrared (840 nm) wavelengths exhibited significant improvements in both behavioral and biological parameters in the CMS model. In particular, tPBM may offer therapeutic benefits by ameliorating oxidative stress and enhancing mitochondrial function, thereby presenting a promising alternative for the management of MDD.
PMID:41721935 | DOI:10.1007/s11064-026-04681-2
Health Care Manag Sci. 2026 Feb 21;29(1):8. doi: 10.1007/s10729-025-09750-6.
ABSTRACT
In response to the growing number of hospital bankruptcies across the United States, this study sought to develop a predictive and interpretable model tailored specifically to the healthcare industry. Utilizing a longitudinal dataset of 3,091 short-term acute care hospitals from 2008 to 2021, we evaluated and compared traditional bankruptcy prediction models-Altman’s Z”, Ohlson’s O-score, and Zmijewski’s model-against a newly developed hospital-specific logistic regression model (BRKFSST). We incorporated over 30 financial and hospital-level variables, including quality indicators, ownership type, and market characteristics. Unlike prior models, ours lagged all unknowable variables to ensure true out-of-sample prediction. The BRKFSST model achieved strong performance, with an Area Under the Curve (AUC) of 81.8%, balanced accuracy of 72.2%, and a mean recall of 60.6% across multiple test/train splits, outperforming all benchmark models. Importantly, the model retained interpretability, allowing for the identification of key predictors such as labor compensation ratio, adjusted patient days, and quality ratings. These findings provide actionable insights for hospital leaders and policymakers to identify at-risk institutions and implement early interventions to prevent financial collapse and preserve access to care.
PMID:41721925 | DOI:10.1007/s10729-025-09750-6
Int Ophthalmol. 2026 Feb 21;46(1):125. doi: 10.1007/s10792-026-03980-5.
ABSTRACT
OBJECTIVES: To investigate the incidence of endophthalmitis following penetrating keratoplasty (PKP) and compare the effectiveness of different antibiotic regimens during the perioperative period.
METHODS: A retrospective cohort study was conducted involving 3706 patients who underwent PKP at Zhongshan Ophthalmic Center between 2012 and 2021. The preventive effects of intraoperative intraoperative local antibiotic injection, preoperative intravenous antibiotic administration, and the combination of both were evaluated. Logistic regression and survival analyses were performed to compare differences in endophthalmitis incidence among the different antibiotic prophylaxis groups.
RESULTS: Postoperative endophthalmitis occurred in 15 of 3706 patients (0.40% incidence). Among 419 patients with underlying infectious corneal disease, 12 developed postoperative endophthalmitis (2.86% incidence). Among 3287 patients with non-infectious corneal diseases, 3 developed postoperative endophthalmitis (0.09% incidence; OR: 32.28, 95% CI 9.07-114.85). For patients with primary non-infectious corneal disease, no statistically significant difference was observed between the intraoperative intraoperative local antibiotic injection, group and the combined antibiotic administration group (P = 0.079).
CONCLUSION: The primary corneal disease is a key risk factor for endophthalmitis after PKP. For non-infectious keratopathy, intraoperative local antibiotic injection, alone is appears adequate for preventing postoperative endophthalmitis.
PMID:41721919 | DOI:10.1007/s10792-026-03980-5
Mol Biol Rep. 2026 Feb 21;53(1):409. doi: 10.1007/s11033-026-11565-9.
ABSTRACT
BACKGROUND: Breast cancer (BC) and Thyroid cancer (TC) are prevalent malignancies in women that share epidemiological and molecular features. Emerging evidence indicates that non-coding RNAs are key regulators of cancer associated gene expression. Long non-coding RNA (lncRNA) drive tumor progression by acting as competing endogenous RNAs (ceRNAs), sponging microRNA (miRNA) to deregulate oncogenic messenger RNA (mRNA). The influence of functional genetic polymorphisms of lncRNAs on their expression, as well as the expression of their ceRNA components RNA in a direct comparative context of BC and TC, remains unexplored.
METHODS: 60 breast cancer and 60 thyroid cancer tissue samples, alongside matched adjacent healthy controls from a Pakistani female patient, were used. Genotyping of lncRNA H19 SNPs (rs3741219 and rs2839698) was performed using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) followed by quantitative real-time PCR (qRT-PCR) to assess the expression of lncRNA H19, miR-152, and DNMT1. Expression and genotype associations, association with clinical parameters, and diagnostic and prognostic utility of the studied RNA were statistically evaluated.
RESULT: Genotyping revealed that rs3741219 showed significant tumor-control differences in breast cancer (p < 0.05). Expression analysis revealed upregulation of lncRNA H19 and DNMT1, and downregulation of miR-152, in tumor samples compared with adjacent healthy controls in both cancers. In genotype-expression analysis, rs3741219 influenced lncRNA H19 expression in both cancer types. Receiver Operating Characteristic (ROC) analysis confirmed the strong diagnostic potential of H19 and DNMT1 (AUC 0.98-1.00). Correlation and regression analyses validated the proposed ceRNA interactions and their significant association with advanced cancer stage. A high-risk score from the H19/miR-152/DNMT1 axis was prognostic only in thyroid cancer (HR = 2.97).
PMID:41721915 | DOI:10.1007/s11033-026-11565-9
Environ Monit Assess. 2026 Feb 21;198(3):239. doi: 10.1007/s10661-026-15060-3.
ABSTRACT
The influence of invasive plant species (IPS) on forest ecosystems has been of sufficient concern to warrant data acquisition on their presence and abundance. These data are needed at various spatial scales for both land management and policy purposes. One potential source of data are national forest inventories (NFIs) that often record IPS observations on sample plots that span relatively large spatial and temporal extents, thus providing data users with a wide range of analytical opportunities to meet desired information needs. In the NFI of the USA, which is conducted by the USA Forest Service’s Forest Inventory and Analysis (FIA) program, IPS presence and foliar cover area are visually observed and recorded nationally on a spatially balanced subset of inventory plots measured each year. As with any sample-based assessment, the implementation of statistically appropriate methods is imperative for credibility of the final estimates. In this paper, statistical methods for calculating population estimates and associated measures of uncertainty for current status and change in IPS attributes are presented. The estimators address both presence and cover area estimation, as well as estimation of area proportions relative to total area domains. Also included are data and various numeric examples that assist in understanding the estimation steps and provide for verification of accuracy in results. The methods should be applicable to most IPS data collected in other forest inventories with little or no modification.
PMID:41721903 | DOI:10.1007/s10661-026-15060-3