Explore the vast range of titles available.

Response-adaptive designs allow the randomization probabilities to change during the course of a trial based on cumulated response data so that a greater proportion of patients can be allocated to the better performing treatments. A major concern over the use of response-adaptive designs in practice, particularly from a regulatory viewpoint, is controlling the type I error rate. In particular, we show that the naïve z-test can have an inflated type I error rate even after applying a Bonferroni correction. Simulation studies have often been used to demonstrate error control but do not provide a guarantee. In this article, we present adaptive testing procedures for normally distributed outcomes that ensure strong familywise error control by iteratively applying the conditional invariance principle. Our approach can be used for fully sequential and block randomized trials and for a large class of adaptive randomization rules found in the literature. We show there is a high price to pay in terms of power to guarantee familywise error control for randomization schemes with extreme allocation probabilities. However, for proposed Bayesian adaptive randomization schemes in the literature, our adaptive tests maintain or increase the power of the trial compared to the z-test. We illustrate our method using a three-armed trial in primary hypercholesterolemia.

The question of selecting the ‘best’ among different choices is a common problem in statistics. In drug development, our motivating setting, the question becomes, for example, which treatment gives the best response rate. Motivated by recent developments in the theory of context-dependent information measures, we propose a flexible response-adaptive experimental design based on a novel criterion governing treatment arm selections which can be used in adaptive experiments with simple (e.g. binary) and complex (e.g. co-primary, ordinal or nested) end points. It was found that, for specific choices of the context-dependent measure, the criterion leads to a reliable selection of the correct arm without any parametric or monotonicity assumptions and provides noticeable gains in settings with costly observations. The asymptotic properties of the design are studied for different allocation rules, and the small sample size behaviour is evaluated in simulations in the context of phase II clinical trials with different end points. We compare the proposed design with currently used alternatives and discuss its practical implementation.

This mini-review explores adaptive responses in organisms exposed to high radiation levels, drawing comparisons between Chernobyl’s wildlife—specifically its darker-pigmented frogs—and residents of Ramsar, Iran, a region with high natural background radiation. Chernobyl’s wildlife adaptations are not surprising, as substantial evidence in humans, demonstrates similar adaptation to high radiation levels. Studies reveal that mechanisms such as increased melanin production in frogs and enhanced DNA repair capabilities in Ramsar residents help mitigate radiation damage. These adaptations provide a framework for understanding resilience to environmental stressors and contribute to broader discussions on evolutionary survival mechanisms in extreme environments. By examining ecological and physiological responses across species, this review sheds light on radiation’s role in natural selection and potential applications for environmental and radiobiological research.

Non-targeted effects (NTE) have been generally regarded as a low-dose ionizing radiation (IR) phenomenon. Recently, regarding long distant abscopal effects have also been observed at high doses of IR) relevant to antitumor radiation therapy. IR is inducing NTE involving intracellular and extracellular signaling, which may lead to short-ranging bystander effects and distant long-ranging extracellular signaling abscopal effects. Internal and “spontaneous” cellular stress is mostly due to metabolic oxidative stress involving mitochondrial energy production (ATP) through oxidative phosphorylation and/or anaerobic pathways accompanied by the leakage of O2− and other radicals from mitochondria during normal or increased cellular energy requirements or to mitochondrial dysfunction. Among external stressors, ionizing radiation (IR) has been shown to very rapidly perturb mitochondrial functions, leading to increased energy supply demands and to ROS/NOS production. Depending on the dose, this affects all types of cell constituents, including DNA, RNA, amino acids, proteins, and membranes, perturbing normal inner cell organization and function, and forcing cells to reorganize the intracellular metabolism and the network of organelles. The reorganization implies intracellular cytoplasmic-nuclear shuttling of important proteins, activation of autophagy, and mitophagy, as well as induction of cell cycle arrest, DNA repair, apoptosis, and senescence. It also includes reprogramming of mitochondrial metabolism as well as genetic and epigenetic control of the expression of genes and proteins in order to ensure cell and tissue survival. At low doses of IR, directly irradiated cells may already exert non-targeted effects (NTE) involving the release of molecular mediators, such as radicals, cytokines, DNA fragments, small RNAs, and proteins (sometimes in the form of extracellular vehicles or exosomes), which can induce damage of unirradiated neighboring bystander or distant (abscopal) cells as well as immune responses. Such non-targeted effects (NTE) are contributing to low-dose phenomena, such as hormesis, adaptive responses, low-dose hypersensitivity, and genomic instability, and they are also promoting suppression and/or activation of immune cells. All of these are parts of the main defense systems of cells and tissues, including IR-induced innate and adaptive immune responses. The present review is focused on the prominent role of mitochondria in these processes, which are determinants of cell survival and anti-tumor RT.

Clinical trials usually involve efficient and ethical objectives. Different adaptive designs have been proposed to satisfy these needs. We combine interim analysis, the sequential estimation-adjusted urn model (SEU), and sample size re-estimation (SSR) in one clinical trial. We show that the asymptotic distribution, under the null hypothesis, of the proposed sequential statistic follows Brownian motion by simultaneously addressing the three sequential procedures (allocation of patients, urn composition, and sequential parameter estimators) and the sequential statistics with revised information time due to SSR. Therefore, to control the type I error rate, traditional critical values for sequential monitoring based on Brownian motion can be used for the proposed procedure. Numerical studies with three types of urn models demonstrate that our proposed approach can control the type I error rate well and also achieve efficient and ethical objectives. Les études cliniques comportent des objectifs d’éthique et d’efficacité. Différents plans d’expérience adaptatifs proposés permettent de les atteindre. Les auteurs combinent dans une même étude clinique des analyses intérimaires, le modèle séquentiel d’urnes ajusté pour l’estimation, ainsi que la ré-estimation de la taille d’échantillon (RTE). Sous l’hypothèse nulle, ils montrent que la distribution asymptotique de la statistique séquentielle proposée suit un mouvement brownien en abordant les trois procédures séquentielles (attribution des patients, composition de l’urne et estimation séquentielle des paramètres) ainsi que les statistiques séquentielles avec l’information révisée due à la RTE. Ainsi, les valeurs critiques traditionnelles pour le monitoring séquentiel basées sur un mouvement brownien peuvent être utilisées pour contrôler l’erreur de type I avec la procédure proposée. Les auteurs illustrent leur approche à l’aide d’études numériques pour trois types de modèles d’urnes et montrent qu’ils peuvent bien contrôler le taux d’erreur de type I et atteindre leurs objectifs d’éthique et d’efficacité.

Pest detection in agriculture faces the challenge of adapting to new pest species while preserving the ability to recognize previously learned ones. Traditional model fine-tuning approaches often result in catastrophic forgetting, where the acquisition of new classes significantly impairs the recognition performance of existing ones. Although knowledge distillation has been shown to effectively mitigate catastrophic forgetting, current research predominantly focuses on feature imitation, neglecting the extraction of potentially valuable information from responses. To address this issue, we introduce a response-based distillation method, called adaptive response distillation (ARD). ARD incorporates an adaptive response filtering strategy that dynamically adjusts the weights of classification and regression responses based on the significance of the information. This approach selectively filters and transfers valuable response data, ensuring efficient propagation of category and localization information. Our method effectively reduces catastrophic forgetting during incremental learning, enabling the student detector to maintain memory of old classes while assimilating new pest categories. Experimental evaluations on the large-scale IP102 pest dataset demonstrate that the proposed ARD method consistently outperforms existing state-of-the-art algorithms across various class-incremental learning scenarios, significantly narrowing the performance gap compared to fully trained models.

The early life environment has long-term implications for the risk of developing cardiovascular (CV) disease in adulthood. Fetal responses to changes in maternal nutrition may be of immediate benefit to the fetus, but the long-term effects of these adaptations may prove detrimental if nutrition in postnatal life does not match that predicted by the fetus on the basis of its prenatal environment. We tested this predictive adaptive response hypothesis with respect to CV function in sheep. We observed that a mismatch between pre- and postnatal nutrient environments induced an altered CV function in adult male sheep that was not seen when environments were similar. Sheep that received postnatal undernutrition alone had altered growth, CV function, and basal hypothalamo-pituitary-adrenal axis activity in adulthood. Prenatal undernutrition induced greater weight gain by weaning compared with the prenatal control diet, which may provide a reserve in the face of a predicted poor diet in later life. In an adequate postnatal nutrient environment (i.e., relatively mismatched), these offspring exhibited cardiac hypertrophy and altered CV function in adulthood. These data support the concept that adult CV function can be determined by developmental responses to intrauterine nutrition made in expectation of the postnatal nutritional environment, and that if these predictions are not met, the adult may be maladapted and at greater risk of CV disease. Our findings have substantial implications for devising strategies to reduce the impact of a mismatch in nutrition levels in humans undergoing rapid socio-economic transitions in both developing and developed societies.

Abstract Parasitic lifestyles often impose profound evolutionary pressures, affecting molecular evolution through both adaptive and non-adaptive mechanisms. Among barnacles (subclass Cirripedia), the obligate parasitic Rhizocephala differ markedly from their filter-feeding thoracican relatives in morphology, ecology, and life history. However, how the shift to parasitism has shaped mitochondrial genome evolution within Cirripedia remains unclear. Here, we present the first comprehensive comparative analysis of mitochondrial genomes between parasitic and non-parasitic barnacles, including three newly sequenced and one unpublished species of parasitic Rhizocephala, a clade whose mitochondrial genomes had not been characterized until now. Phylogenomic and molecular evolutionary analyses reveal that Rhizocephala species exhibit extremely long branches likely attributed to the clade-specific tempo (high substitution rate) and mode (selection pressure) of mtDNA sequence evolution associated with their parasitic lifestyle. A two-cluster molecular clock test reveals significantly elevated substitution rates across rhizocephalans, consistent with reduced effective population sizes (Ne) linked to their opportunistic, host-dependent life cycles. We also detect signatures of positive selection in protein-coding genes encoding key components of the electron transport chain complexes III and IV. Structural modeling highlights amino acid substitutions at functionally critical sites for electron transfer and proton pumping, suggesting adaptive modifications to mitochondrial bioenergetics under hypoxic conditions within host tissues. Together, our findings underscore that both non-adaptive (genetic drift, relaxed selection) and adaptive (positive selection) processes have driven the rapid sequence divergence of mitochondrial genomes in parasitic Rhizocephala. Further experimental study is needed to elucidate how mitochondrial and nuclear-encoded subunits of oxidative phosphorylation coevolve in this specialized parasitic group.

The COVID-19 pandemic has reached direct and indirect medical and social consequences with a subset of patients who rapidly worsen and die from severe-critical manifestations. As a result, there is still an urgent need to identify prognostic biomarkers and effective therapeutic approaches. Severe-critical manifestations of COVID-19 are caused by a dysregulated immune response. Immune checkpoint molecules such as Programmed death-1 (PD-1) and its ligand programmed death-ligand 1 (PD-L1) play an important role in regulating the host immune response and several lines of evidence underly the role of PD-1 modulation in COVID-19. Here, by analyzing blood sample collection from both hospitalized COVID-19 patients and healthy donors, as well as levels of PD-L1 RNA expression in a variety of model systems of SARS-CoV-2, including in vitro tissue cultures, ex-vivo infections of primary epithelial cells and biological samples obtained from tissue biopsies and blood sample collection of COVID-19 and healthy individuals, we demonstrate that serum levels of PD-L1 have a prognostic role in COVID-19 patients and that PD-L1 dysregulation is associated to COVID-19 pathogenesis. Specifically, PD-L1 upregulation is induced by SARS-CoV-2 in infected epithelial cells and is dysregulated in several types of immune cells of COVID-19 patients including monocytes, neutrophils, gamma delta T cells and CD4+ T cells. These results have clinical significance since highlighted the potential role of PD-1/PD-L1 axis in COVID-19, suggest a prognostic role of PD-L1 and provide a further rationale to implement novel clinical studies in COVID-19 patients with PD-1/PD-L1 inhibitors.

This article focuses on the analytic modeling of responses of cells in the body to ionizing radiation. The related mechanisms are consecutively taken into account and discussed. A model of the dose- and time-dependent adaptive response is considered for 2 exposure categories: acute and protracted. In case of the latter exposure, we demonstrate that the response plateaus are expected under the modelling assumptions made. The expected total number of cancer cells as a function of time turns out to be perfectly described by the Gompertz function. The transition from a collection of cancer cells into a tumor is discussed at length. Special emphasis is put on the fact that characterizing the growth of a tumor (ie, the increasing mass and volume), the use of differential equations cannot properly capture the key dynamics—formation of the tumor must exhibit properties of the phase transition, including self-organization and even self-organized criticality. As an example, a manageable percolation-type phase transition approach is used to address this problem. Nevertheless, general theory of tumor emergence is difficult to work out mathematically because experimental observations are limited to the relatively large tumors. Hence, determination of the conditions around the critical point is uncertain.