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Nevin Manimala Statistics

The Transition from Strain Softening to Strain Hardening in Metallic Glasses

Nanomaterials (Basel). 2026 Mar 3;16(5):319. doi: 10.3390/nano16050319.

ABSTRACT

Despite their excellent mechanical properties, metallic glasses (MGs) are significantly hindered by poor plasticity and toughness, which are essential for structural applications. The brittleness arises from the rapid propagation of shear bands (SBs), leading to strain softening and catastrophic failure. Recent advancements in microstructural engineering, particularly boundary engineering, such as nano-glass, focus on the utilization of heterogeneous structures to promote the proliferation and delocalization of SBs. Various attempts have been made experimentally to address these issues, but with very limited improvement in tensile strength and toughness. Under tensile loading, micro- or nano-pillar samples exhibit strain softening and continue to undergo plastic deformation after reaching yield or peak stress, especially the nano-glass micro-pillar. Reports on tensile strain-hardening in MG micro-pillars are rare. In this finite element simulation study, we optimize appropriate statistical and spatial distributions of free volume within the microsamples. Both the post-yield strength and the mean tangent modulus increase with progressive gradient structural modifications, thereby inducing a transition from strain-softening to strain-hardening behavior, as well as a concurrent transition from plastic fracture to brittle fracture. We systematically investigate the deformation mechanisms and transition mechanisms of fracture modes, which are closely associated with heterogeneous microstructures and their evolution in MGs. These insights into the transition mechanism could significantly facilitate the design and optimization of MGs to achieve enhanced toughness and strain hardening.

PMID:41823771 | DOI:10.3390/nano16050319

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Nevin Manimala Statistics

Efficacy of Low-dose Aspirin in Preventing Hypertensive Disorders of Pregnancy in Women with Systemic Lupus Erythematosus: A Single-Center Retrospective Cohort Study

Mod Rheumatol. 2026 Mar 13:roag028. doi: 10.1093/mr/roag028. Online ahead of print.

ABSTRACT

OBJECTIVES: Low-dose aspirin (LDA) is widely recommended to prevent hypertensive disorders of pregnancy (HDP). However, the evidence of its effectiveness in pregnancies with systemic lupus erythematosus (SLE) remains limited. This study evaluated the efficacy of LDA in preventing HDP in women with SLE.

METHODS: We conducted a retrospective cohort study of 124 pregnancies with SLE managed at our hospital. Pregnancy outcomes were compared between women treated with LDA and those not treated, using propensity score and inverse probability weighting analyses to adjust for confounders.

RESULTS: LDA was used in 65 pregnancies and not used in 59. HDP occurred in 7/65 (10.8%) and 8/59 (13.6%), respectively. After adjusting for potential confounders, including antiphospholipid antibodies, lupus nephritis, chronic hypertension, chronic kidney disease, history of HDP, and hydroxychloroquine use, the risk ratio for HDP with LDA was 0.76 (95% confidence interval: 0.25-2.33; p=0.64). Sensitivity analysis was consistent.

CONCLUSIONS: LDA did not significantly reduce the incidence of HDP in women with SLE. This lack of effect may reflect the low event rate in a well-controlled cohort. These findings underscore the need for individualized risk assessment and careful monitoring, beyond reliance on LDA alone, in the management of pregnancies with SLE.

PMID:41823715 | DOI:10.1093/mr/roag028

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Nevin Manimala Statistics

Scientists built the hardest AI test ever and the results are surprising

As AI systems began acing traditional tests, researchers realized those benchmarks were no longer tough enough. In response, nearly 1,000 experts created Humanity’s Last Exam, a massive 2,500-question challenge covering highly specialized topics across many fields. The exam was engineered so that any question solvable by current AI models was removed. Early results show even the most advanced systems still struggle — revealing a surprisingly large gap between AI performance and true expert-level knowledge.
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Nevin Manimala Statistics

Process hygiene criteria for Salmonella in pig carcasses: comparing food business operator self-monitoring and official sampling in an Italian high-throughput slaughterhouse

Ital J Food Saf. 2026 Mar 12. doi: 10.4081/ijfs.2026.14646. Online ahead of print.

ABSTRACT

This study compares Salmonella monitoring data obtained from food business operator (FBO) self-monitoring and competent authority (CA) official sampling on pig carcasses in a high-throughput Italian slaughterhouse over ten years (2012-2021 for FBO; 2014-2021 for CA). A total of 1560 FBO and 377 CA samples were analyzed. Salmonella prevalence was 3.46% [95% confidence interval (CI): 2.6-4.5] for FBO and 10.34% (95% CI: 7.3-13.5) for CA, with statistically significant yearly differences in 2015, 2017, 2018, and 2020 (p<0.05). Derby was the predominant serovar (22.6%); however, 20.4% of the FBO isolates were classified only as ‘No Typhimurium and Enteritidis’, highlighting gaps in serotyping protocols. Discrepancies likely reflect differences in sampling frequencies, carcass origins, and the use of different accredited laboratories by FBO and CA (private and official ones, respectively). The study identifies regulatory ambiguities, including a mistranslation in the Italian Ministerial Note, and recommends enhanced farm-level controls and harmonized surveillance.

PMID:41823068 | DOI:10.4081/ijfs.2026.14646

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Nevin Manimala Statistics

Efficient design of partially nested randomized trials: A maximin approach

Stat Methods Med Res. 2026 Mar 13:9622802251409388. doi: 10.1177/09622802251409388. Online ahead of print.

ABSTRACT

For two-treatment randomized trials with clustering in one of the treatment arms and a continuous outcome, designs are presented that minimize the number of subjects or the amount of research budget, when aiming for a desired power level. These designs optimize the treatment-to-control allocation ratio of study participants but also optimize the choice between the number of clusters (such as therapy groups) versus the number of persons per cluster (therapy group) in the arm with clustering. Optimal designs require prior knowledge of parameters from the analysis model, which are unknown during the design stage. We present maximin designs which address this by ensuring a pre-specified power level for plausible ranges of the unknown parameters, while maximizing the power for worst-case values of these parameters. Maximin designs are also derived when the number of clusters, or the cluster size is fixed due to practical constraints. An empirical example illustrates how to calculate sample sizes for such practical designs and shows how much these maximin designs can reduce the required research budgets compared to designs with equal subject numbers in treatment and control. A user-friendly R Shiny app facilitates these sample size calculations.

PMID:41823059 | DOI:10.1177/09622802251409388

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Nevin Manimala Statistics

Comparative Investigation of Seasonal (Summer and Winter) and Sex-Related Differences in Tear Production and Intraocular Pressure in Sakız, Çine Çaparı, and Karya Sheep

Vet Ophthalmol. 2026 Mar;29(2):e70159. doi: 10.1111/vop.70159.

ABSTRACT

OBJECTIVE: This study investigated the seasonal (summer and winter) and sex-related variations in intraocular pressure (IOP) and tear production among Sakız, Çine Çaparı, and Karya sheep reared under similar environmental conditions in the same region.

MATERIALS AND METHODS: A total of 180 healthy sheep (30 males and 30 females per breed; Sakız, Çine Çaparı, Karya), ~2 years old, were examined. Schirmer tear test (STT-I) and IOP were measured in June (summer; 30°C) and January (winter; 10°C). Data were analyzed using IBM SPSS Statistics 22 with parametric or non-parametric tests.

RESULTS: STT-I values were higher in summer across all breeds (p < 0.05). Across breeds, Sakız consistently showed greater STT-I than Çine Çaparı and Karya in both summer and winter. Within-breed seasonal shifts were pronounced for STT-I but small for IOP. Sex effects were generally absent, except in Sakız during winter, where females had higher STT-I (17.64 ± 3.98 vs. 15.61 ± 3.51 mm/min) and IOP (18.78 ± 4.03 vs. 16.87 ± 2.74 mmHg) than males (p < 0.05). IOP remained stable in most breeds and seasons, and significant differences were confined to specific subgroups, including winter increases in Sakız and Karya females, with interbreed IOP variations limited to particular cases such as higher summer values in Karya males.

CONCLUSION: Seasonal variation significantly affects tear production, whereas intraocular pressure remains largely stable, with minor sex-related differences observed in some breeds.

PMID:41823045 | DOI:10.1111/vop.70159

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Nevin Manimala Statistics

Nano-Enabled Herbal Therapeutics for Diabetic Foot Ulcers: Translating Ethnopharmacological Bioactives into Advanced Wound Care

Chem Biodivers. 2026 Mar;23(3):e03644. doi: 10.1002/cbdv.202503644.

ABSTRACT

Diabetic foot ulcer (DFU) is a common and serious complication in individuals with diabetes, representing a leading cause of hospitalization and frequently resulting in severe outcomes such as amputations, increased morbidity, and mortality. The development of diabetic foot infection (DFI) is typically attributed to a combination of factors, including persistent hyperglycemia, impaired immune function, peripheral neuropathy, and vascular insufficiency. Early diagnosis and prompt treatment are crucial for favorable outcomes; however, the growing prevalence of antibiotic-resistant pathogens presents a significant challenge, placing additional strain on healthcare systems. Considering these concerns, there is an increasing interest in herbal therapies with antimicrobial, anti-inflammatory, and wound-healing properties-such as garlic (Allium sativum), turmeric (Curcuma longa), and neem (Azadirachta indica)-as potential adjunct or alternative treatments. This review explores key aspects of DFI, including its pathophysiology, global prevalence, statistical data, risk factors, diagnostic approaches, current and potential herbal treatments, associated challenges, and future directions.

PMID:41823036 | DOI:10.1002/cbdv.202503644

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Nevin Manimala Statistics

Genetic correlation analysis identifies TMEM106B, ACE, and ERC2 as genetic loci shared between Alzheimer’s disease and primary psychiatric disorders

Alzheimers Dement. 2026 Mar;22(3):e71278. doi: 10.1002/alz.71278.

ABSTRACT

INTRODUCTION: Neuropsychiatric symptoms (NPSs) occur in up to 85% of Alzheimer’s disease (AD) cases. Current treatments – repurposed from psychiatric disorders despite limited understanding of etiologic overlap – are often ineffective.

METHODS: To characterize the genetic overlap between AD and major psychiatric disorders and identify shared molecular pathways, we conducted genetic correlation analyses between AD and depression, schizophrenia, bipolar disorder, and anxiety using MiXeR and Local Analysis of [co]Variant Annotation with genome wide association studies (GWAS) summary statistics (AD: n = 487,511; bipolar disorder: n = 413,466; depression: n = 1,154,267; schizophrenia: n = 130,644; anxiety: n = 1,096,458).

RESULTS: Local genetic correlation analyses followed by fine mapping and functional analyses identified a missense variant in TMEM106B (rs3173615) shared between AD and depression and anxiety, a regulatory region variant in ACE (rs4292) shared between AD/schizophrenia, and two nonsense-mediated mRNA decay transcript variants in ERC2 (rs17288728; rs815460) shared between AD/anxiety.

DISCUSSION: The specific molecular pathways associated with these variants provide critical information on shared etiologic components underlying these traits and inform development of improved therapeutic targets.

PMID:41823034 | DOI:10.1002/alz.71278

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Nevin Manimala Statistics

Deep roots through time and crops: insight from five seasons at DeepRootLab

New Phytol. 2026 Mar 13. doi: 10.1111/nph.71065. Online ahead of print.

ABSTRACT

Deep-rooted crops accessing water and nutrients from deep soil layers enhance the resource base for crop production. However, studying these roots in field conditions is labour-intensive, limiting research scope. We established a field root research facility with 48 plots for replicated experiments. The facility includes 144 6-metre-long minirhizotron tubes and an AI-based pipeline for rapid root trait analysis. We also attempted to install access tubes and customized ingrowth core production for less-invasive root activity determination. Our study revealed significant differences in deep root density among species, particularly at depths of 2.5 to 4.5 m, over 5 years. The less-invasive studies using ingrowth cores reached depths of 4.2 m. Nutrient tracer 15N analysis showed marked differences in deep root activity among crop species. Time domain reflectometry sensors indicated varying water depletion in deeper soil layers, influenced by crop species and root growth patterns. We established a field facility for studying deep root growth and function, demonstrating its effectiveness in analysing diverse deep-rooted plant species. This facility provides an ideal platform for conducting meaningful research in deep soil layers, yielding statistically and biologically significant results for agricultural applications.

PMID:41822991 | DOI:10.1111/nph.71065

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Nevin Manimala Statistics

Healthcare resource use of patients with mild-moderate psoriasis on systemic treatments: a UK single-center longitudinal retrospective cohort study

J Dermatolog Treat. 2026 Dec;37(1):2640305. doi: 10.1080/09546634.2026.2640305. Epub 2026 Mar 13.

ABSTRACT

BACKGROUND: Healthcare resource utilization (HCRU) costs in those on conventional systemics for mild-moderate psoriasis are poorly described.

OBJECTIVES: This study aimed to describe HRCU, disease severity and health-related quality of life in patients with mild-moderate psoriasis requiring systemic therapy.

METHODS: UK single-center retrospective longitudinal cohort study including adults with mild-moderate psoriasis (PASI < 10, no historical PASI ≥ 10, no prior biologics) on conventional systemic therapy with 3-year data capture from first PASI recording (2014-2019, pre-COVID). Patients discontinued due to reaching PASI ≥ 10, starting biologics or being lost to follow-up.

RESULTS: The median annual HCRU cost was £1923 (mean £3361), largely driven by visit costs. A total of 50.8% patients achieved a PASI ≤ 2 and 30.6% achieved PASI ≤ 2 and DLQI ≤ 5 during follow-up. The difference between the maximum and minimum PASI for a patient and follow-up time were statistically significant predictors of total costs (p < 0.05).

CONCLUSION: Despite high healthcare costs, nearly half of the patients did not achieve clear/nearly clear skin. These data, in the context of reducing costs for biosimilars, may provide a basis to challenge care pathways and access criteria for ‘high-cost’ treatments.

PMID:41822986 | DOI:10.1080/09546634.2026.2640305