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Dialetheism and the countermodel problem
Full text linkAccording to some dialetheists, we ought to reject the distinction between object and meta-languages. Given that dialetheists advocate truth-value gluts within their object-language, whether in order to solve the liar paradox or for some other reason, this rejection of the object-/meta-language distinction comes with the commitment to use a glutty metatheory. While it has been pointed out that a glutty metatheory brings with it expressive deficiencies, we highlight here another complication arising from the use of a glutty metatheory, this time evidential in nature. According to this countermodel problem, while the thoroughgoing dialetheist who embraces a glutty metatheory can justify their acceptance of a rule of inference's invalidity using countermodels, to justify their renunciation of an unwanted rule they actually require the means to warrant their rejection of the rule's validity-which cannot be supplied by countermodels based on a standard dialetheic semantics. We end by sketching out a possible solution for the thoroughgoing dialetheist using a bilaterialist semantics
A parametrization algorithm to compute lower dimensional elliptic tori in Hamiltonian systems
Full text link2024 ACC Expert Consensus Decision Pathway on Strategies and Criteria for the Diagnosis and Management of Myocarditis: A Report of the American College of Cardiology Solution Set Oversight Committee
No full textIntegrating dynamical modeling and phylogeographic inference to characterize global influenza circulation
Full text linkGlobal seasonal influenza circulation involves a complex interplay between local (seasonality, demography, host immunity) and global factors (international mobility) shaping recurrent epidemic patterns. No studies so far have reconciled the two spatial levels, evaluating the coupling between national epidemics, considering heterogeneous coverage of epidemiological, and virological data, integrating different data sources. We propose a novel-combined approach based on a dynamical model of global influenza spread (GLEAM), integrating high-resolution demographic, and mobility data, and a generalized linear model of phylogeographic diffusion that accounts for time-varying migration rates. Seasonal migration fluxes across countries simulated with GLEAM are tested as phylogeographic predictors to provide model validation and calibration based on genetic data. Seasonal fluxes obtained with a specific transmissibility peak time and recurrent travel outperformed the raw air-transportation predictor, previously considered as optimal indicator of global influenza migration. Influenza A subtypes supported autumn-winter reproductive number as high as 2.25 and an average immunity duration of 2 years. Similar dynamics were preferred by influenza B lineages, with a lower autumn-winter reproductive number. Comparing simulated epidemic profiles against FluNet data offered comparatively limited resolution power. The multiscale approach enables model selection yielding a novel computational framework for describing global influenza dynamics at different scales-local transmission and national epidemics vs. international coupling through mobility and imported cases. Our findings have important implications to improve preparedness against seasonal influenza epidemics. The approach can be generalized to other epidemic contexts, such as emerging disease outbreaks to improve the flexibility and predictive power of modeling
A vision-based dietary survey and assessment system for college students in China
No full textUnderstanding the current dietary habits of college students is essential due to the pressing issues of unbalanced diets and insufficient nutrition. However, traditional approaches frequently depend on recollection, which can introduce unconscious bias and make them difficult to implement. Herein, we introduce a new computer vision system to evaluate the dietary habits of college students in China. A specialized food dataset comprising RGB-D images, recipes with ingredient masses, and nutrient composition was created using data collected from college canteens. First, object detection models were utilized to identify food categories and locations. Subsequently, we introduced a method for automatically estimating the food volume of nonstandard portions using position and depth information. The final nutrients were derived directly or indirectly through the database. Experimental results demonstrate the applicability of the YOLOv8 object detection model and volume estimation method to our..
Different whole body HIIT protocols do not promote different muscle thickness and functional adaptations among healthy physically active subjects
Full text linkIntroduction: Despite robust evidence on the benefits of high intensity interval training using body weight (WB-HIIT), the effects of different training configurations on morphofunctional adaptations are still unclear. Therefore, the aim of the present study was to assess the effects of two distinct WB-HIIT protocols on morphological and general fitness adaptations in healthy active young individuals.
Methods: Thirty-four participants (22 males and 12 females) were randomly assigned to one of the following groups: 30 s of all-out effort interspersed with 10 s of passive recovery (G30 × 10, n = 17) or 40 s of an all-out effort interspersed with 20 s of passive recovery (G40 × 20, n = 17). Nine exercises were performed for both protocols, in two weekly sessions, during a 6-week intervention period. Morphological (ultrasound-derived muscle thickness of the vastus lateralis [MTVL]) and general fitness (muscle endurance and maximal oxygen consumption) assessments were performed at pre- and post-intervention moments.
Results: Both training protocols elicited significant improvements in all dependent variables (p < 0.05), with no significant between-group differences.
Conclusion: Regardless of the training configuration, both WB-HIIT programs serve as time-efficient strategies to induce changes in muscle thickness of the vastus lateralis and functional adaptations in healthy, physically active young individuals
Impact of Rotor Excitation Current during Flux-Weakening Control of Hybrid-Excited Permanent Magnet Synchronous Motor
No full textCombination Therapy with SGLT2 Inhibitors and GLP-1 Receptor Agonists for Diabetic Kidney Disease
No full textFrom collective to individual radon risk exposure: An insight into the current European regulation
Full text linkRadon (222Rn) is a radioactive gas with well-documented harmful effects; the World Health Organization has confirmed it as a cancerogenic for humans. These detrimental effects have prompted Europe to establish national reference levels to protect the exposed population. This is reflected in European directive 59/2013/EURATOM, which has been transposed into the national regulations of EU Member States. Specifically, the directive requires the identification of Radon Priority Areas to facilitate remediation in regions with high Rn levels. The regulation also includes measures for radiation protection, aiming to safeguard the population collectively and individuals from Rn exposure. These two requirements can be conceptualised and translated into two complementary concepts: collective and individual risk. This work addresses the lack of a standardised methodology at the European level for defining radon (Rn) risk across regions. It provides the first approach to transitioning from collective to individual risk areas (CRAs to IRAs), offering clear insights into the application of European Rn protection regulations. Key challenges have been addressed, including geo-hazard mapping without a response variable, evaluating the performance of Spatial Multi-Criteria Decision Analysis, and assessing the use and representativeness of available indoor Rn data to support individual risk assessment. The study also explores the optimal scale for delineating Radon Priority Areas. The effectiveness of this novel approach, which incorporates both collective and individual risk factors in accordance with European regulations, has been tested in a case study in the Bolzano province (north-eastern Italy)