Miracle-dz/UniFAR-FTUs huggingface dataset:
Utility of the W´BAL model in training programme design for masters cyclists

ABSTRACT The present study aims to determine the utility of integrating balance model (W´BAL-INT) in designing interval training programmes as assessed by improvements in power output, critical power (CP), and W prime (W´) defined as the finite work capacity above CP. Fourteen male cyclists (age = 42 ± 7 yr, body mass = 69.6 ± 6.5 kg, height = 175 ± 5 cm, CP = 302 ± 32 W, relative CP = 4.35 ± 0.66 W·kg−1) were randomized into two training groups: Short-Medium-Long intervals (SML-INT; n = 7) or Long intervals (L-INT, n = 7) [training sessions separated by 72 h], along with 3–4 sessions of moderate intensity training per week, for 4 weeks. All sessions were designed to result in the complete depletion of the W´ as gauged by the W´BAL-INT. CP and W´ were assessed using the specified efforts (i.e. 12, 7 and 3 min) and calculated with the 2-parameter CP linear model. Training loads between the groups were compared using different metrics. CP improved in both the SML-INT and L-INT groups by 5 ± 4% and 6 ± 5% (p < 0.001) respectively, without significant changes in W´. Mean maximal power over 3, 7 and 12 min increased significantly in the SML-INT group by 5%, 4% and 9%, (p < 0.05) without significant changes in the L-INT group. There were no differences between groups in training zone distribution or training load using BikeScore and relative intensity, but there was significantly (p < 0.05) higher TRIMPS for the Long-INT group. Therefore, W´BAL model may prove to be a useful tool for coaches to construct SML-INT training programmes. Highlights CP significantly improved with both training models during the present intervention and in power output in some of the time to exhaustion (TTE) trials, despite a difference in training load between the groups as assessed by TRIMPS. We recommend designing endurance training sessions based on the use of the W´BAL-INT model. The structured interval model can be an easy and standardized way for cyclists and coaches to monitor their potential for flat and mid-mountain stages.
Fractional Spiking Neuron: Fractional Leaky Integrate-and-Fire Circuit Described with Dendritic Fractal Model

As dendrites are essential parts of neurons, they are crucial factors for neuronal activities to follow multiple timescale dynamics, which ultimately affect information processing and cognition. However, in the common SNN (Spiking Neural Networks), the hardware-based LIF (Leaky Integrate-and-Fire) circuit only simulates the single timescale dynamic of soma without relating dendritic morphologies, which may limit the capability of simulating neurons to process information. This study proposes the dendritic fractal model mainly for quantifying dendritic morphological effects containing branch and length. To realize this model, We design multiple analog fractional-order circuits (AFCs) which match their extended structures and parameters with the dendritic features. Then introducing AFC into FLIF (Fractional Leaky Integrate-and-Fire) neuron circuits can demonstrate the same multiple timescale dynamics of spiking patterns as biological neurons, including spiking adaptation, inter-spike variability with power-law distribution, first-spike latency, and intrinsic memory. By contrast, it further enhances the degree of mimicry of neuron models and provides a more accurate model for understanding neural computation and cognition mechanisms.
Bone‐Adhesive Anisotropic Tough Hydrogel Mimicking Tendon Enthesis

Tendon consists of soft collagen, yet it is mechanically strong and firmly adhered to the bone owing to its hierarchically anisotropic structure and unique tendon‐to‐bone integration (enthesis), respectively. Despite the recent advances in biomaterials, hydrogels simultaneously providing tendon‐like high mechanical properties and strong adhesion to bone‐mimicking enthesis is still challenging. Here, a strong, stiff, and adhesive triple‐network (TN) anisotropic hydrogel that mimics a bone‐adhering tendon is shown. The tough adhesive TN hydrogel is developed by combining imidazole‐containing polyaspartamide (providing multiple hydrogen bonds to the bone surface) and energy‐dissipative alginate–polyacrylamide double‐network. To mimic the anisotropic structure and high mechanical properties of tendons, the bone‐adhered TN hydrogel is linearly stretched and subsequently fixed via secondary cross‐linking. The resulting hydrogel exhibits high tensile modulus and strength while maintaining a high bone adhesion without chemical modification of the bone surface. Furthermore, a bone–ligament–bone structure with strong bone adhesion reminiscent of the natural ligament is realized.
Real-life clinical impact of a five-tiered classification of pituitary tumors.

INTRODUCTION Usually benigns, pituitary tumors (PT) can be invasive and aggressive with propensity to progress and/or recur. Trouillas's clinicopathological classification attempts to predict the evolutionary risk of a PT. We assessed the prognostic value of this classification in an independent patient cohort and analyzed its impact over the treatment strategies. MATERIAL AND METHODS 607 operated patients between 2008-2018 for a PT were included. Grading was established based on invasion, proliferative activity (Ki-67, mitotic index) and p53 positivity. The therapeutic management following surgery was analyzed. Progression-free survival (PFS) of the graded tumors was estimated (Kaplan-Meier method and log-rank test) and a multivariate analysis was performed (Cox regression model). RESULTS Grading identified non-invasive PT without (grade 1a: 303 cases) or with proliferative activity (1b: 53 cases) and invasive PT without (2a: 202 cases) or with proliferative activity (2b: 49 cases). The mean follow up was 47 ± 30 months (median: 38 months). Progression/recurrence occurred in 127 cases. Grades were significant and independent predictors of PFS (p<0.001) with a 4.8 fold-higher risk of progression/recurrence in grade 2b as compared to grade 1a. As second-line therapy, gamma-knife or conventional radiotherapy controlled tumor growth in 91.6 and 100% of cases, respectively, irrespective of the grade. Proliferative tumors exposed the patient to a 9.5-fold higher risk of having ≥ 3 adjuvant therapeutic lines as compared to non-proliferative tumors. DISCUSSION Grading of a PT according to Trouillas's classification predicts its risk of progression and should advocate for a personalized therapeutic approach in invasive and proliferative tumors.
On the properties of the Uehling potential

A number of properties of the Uehling potential are investigated. In particular, we determine the Fourier spatial resolution of the Uehling potential. The lowest-order correction on vacuum polarisation is re-written in terms of the electron density distribution function. We also discuss the consecutive approximations of the perturbation theory developed for the short-range Uehling potential in the Coulomb few-body systems (atoms). The cusp problem is formulated for few-body systems in which particles interact with each other by the mixed (Coulomb + Uehling) potential.
IFIT3 Is Increased in Serum from Patients with Chronic Hepatitis B Virus (HBV) Infection and Promotes the Anti-HBV Effect of Interferon Alpha via JAK-STAT2 In Vitro

Our study contributes new insights into the understanding of the functions and roles of interferon-induced protein with tetratricopeptide repeats 3 (IFIT3), which is one of the interferon-stimulated genes induced by hepatitis B virus infection in human hepatocytes and hepatocarcinoma cells, and may help to identify targeted genes promoting the efficacy of interferon alpha. ABSTRACT Increasing evidence indicates that interferon alpha (IFN-α) therapy is an effective treatment option for a subgroup of patients with chronic hepatitis B virus (HBV) infection. It has been confirmed that interferon-induced protein with tetratricopeptide repeats 3 (IFIT3), a member of the interferon-stimulated genes (ISGs), could inhibit the replication of various viruses. However, its effect on HBV replication is unclear. The present study sought to explore the role and mechanism of IFIT3 in IFN-α antiviral activities against HBV. IFIT3 mRNA levels in the peripheral blood of 108 treatment-naive patients and 70 healthy controls were analyzed first. The effect of IFIT3 on the Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway under the dual intervention of IFN-α and HBV was also explored in vitro. Treatment-naive individuals exhibited elevated levels of IFIT3 mRNA compared to the controls (P < 0.0001). Mechanistically, the knockdown of IFIT3 inhibited the phosphorylation of signal transducer and activator of transcription 2 (STAT2), whereas the overexpression of IFIT3 produced the opposite effect in vitro. Meanwhile, the overexpression of IFIT3 enhanced the expression of IFN-α-triggered ISGs, including myxovirus resistance A (MxA), 2′-5′-oligoadenylate synthetase 1 (OAS1), and double-stranded RNA-activated protein kinase (PKR), while a weaker induction of IFN-α-triggered ISGs was observed in ruxolitinib-treated cells. After decreasing IFIT3 expression by validated small hairpin RNAs (shRNAs), the levels of hepatitis B surface antigen (HBsAg), hepatitis B e antigen (HBeAg), and HBV DNA secreted by HepG2 cells transiently transfected with the pHBV1.2 plasmid were increased. Our findings suggest that IFIT3 works in a STAT2-dependent manner to promote the antiviral effect of IFN-α through the JAK-STAT pathway in HBV infection in both human hepatocytes and hepatocarcinoma cells. IMPORTANCE Our study contributes new insights into the understanding of the functions and roles of interferon-induced protein with tetratricopeptide repeats 3 (IFIT3), which is one of the interferon-stimulated genes induced by hepatitis B virus infection in human hepatocytes and hepatocarcinoma cells, and may help to identify targeted genes promoting the efficacy of interferon alpha.
Detection of Diverse Sequence Types of Legionella pneumophila by Legiolert Enzymatic-Based Assay and the Development of a Long-Term Storage Protocol

Legionnaires’ disease is caused by the bacterium Legionella pneumophila, which can be found in a variety of water systems. When outbreaks of Legionnaires’ disease occur, it is necessary to find the water systems transmitting the bacterium to humans. ABSTRACT Legiolert is a rapid culture-based enzymatic method for the detection and quantification of Legionella pneumophila in potable and nonpotable water samples. We aimed to assess the ability of this assay to detect diverse sequence types and validated a simple method to preserve samples. We used this assay on 253 potable and 165 nonpotable cooling tower water samples from various buildings in Québec, Canada, and performed sequence-based typing on 96 isolates. Six sequence types were identified, including ST1, ST378, ST1427, ST2859, ST3054, and ST3069. Whole-genome sequencing revealed that ST2859 was a member of the L. pneumophila subspecies fraseri. Additional tests with pure isolates also found that subspecies Pascullei and Raphaeli could be detected via Legiolert. Eight storage methods, including the current recommendation to store Legiolert trays at 4°C, were evaluated for their ability to preserve viable cultures. Of those, storage of Legiolert culture with 10% glycerol at −80°C produced the best results, fully preserving culturable Legionella for at least 12.5 months. We incorporated these findings into a standard procedure for processing Legiolert packets. Overall, Legiolert captures a variety of common and new STs in addition to important L. pneumophila subspecies and can be easily stored, which allows the conservation of a population of isolates for later characterization. IMPORTANCE Legionnaires’ disease is caused by the bacterium Legionella pneumophila, which can be found in a variety of water systems. When outbreaks of Legionnaires’ disease occur, it is necessary to find the water systems transmitting the bacterium to humans. Access to historical isolates from water system samples is key for success in identifying sources but current regulations and isolation protocols mean very few isolates are obtained and stored long-term. We showed here that the Legiolert test could detect and produce isolates of a variety of L. pneumophila subspecies and types. In addition, the Legiolert test medium containing a representative population of isolates could be preserved for at least 12 months at −80°C with the addition of glycerol to the test medium. Therefore, we confirmed that the Legiolert method could be a useful tool for retrospective analysis of potential sources for an outbreak.
Italian, European, and international neuroinformatics efforts: An overview

Neuroinformatics is a research field that focusses on software tools capable of identifying, analysing, modelling, organising and sharing multiscale neuroscience data. Neuroinformatics has exploded in the last two decades with the emergence of the Big Data phenomenon, characterised by the so‐called 3Vs (volume, velocity and variety), which provided neuroscientists with an improved ability to acquire and process data faster and more cheaply thanks to technical improvements in clinical, genomic and radiological technologies. This situation has led to a ‘data deluge’, as neuroscientists can routinely collect more study data in a few days than they could in a year just a decade ago. To address this phenomenon, several neuroimaging‐focussed neuroinformatics platforms have emerged, funded by national or transnational agencies, with the following goals: (i) development of tools for archiving and organising analytical data (XNAT, REDCap and LabKey); (ii) development of data‐driven models evolving from reductionist approaches to multidimensional models (RIN, IVN, HBD, EuroPOND, E‐DADS and GAAIN BRAIN); and (iii) development of e‐infrastructures to provide sufficient computational power and storage resources (neuGRID, HBP‐EBRAINS, LONI and CONP). Although the scenario is still fragmented, there are technological and economical attempts at both national and international levels to introduce high standards for open and Findable, Accessible, Interoperable and Reusable (FAIR) neuroscience worldwide.
Descriptions of Hearing Loss Severity Differentially Influence Parental Concern about the Impact of Childhood Hearing Loss

Purpose: The purpose of this study was to measure how parent concern about childhood hearing loss varies under different description conditions: classification-based, audibility-based, and simulation-based descriptions. Method: We randomly allocated study participants (n = 143) to complete an online survey about expected child difficulties with listening situations with hearing loss. Our participants were parents of children with typical hearing in the 0- to 12-month age range. Participants were exposed to one type of description (classification-based, audibility-based, or simulation-based) and one level of hearing loss (slight, mild, and moderate or their audibility and simulation equivalents), producing nine total groups. Participants rated the level of expected difficulty their child would experience performing age-appropriate listening tasks with the given hearing loss. They also selected what they perceived as the most appropriate intervention from a list of increasingly intense options. Results: Our findings revealed that audibility-based descriptions elicited significantly higher levels of parent concerns about hearing loss than classification-based strategies, but that simulation-based descriptions elicited the highest levels of concern. Those assigned to simulation-based and audibility-based groups also judged relatively more intense intervention options as appropriate compared to those assigned to classification-based groups. Conclusions: This study expands our knowledge base about descriptive factors that impact levels of parent concern about hearing loss after diagnosis. This has potentially cascading effects on later intervention actions such as fitting hearing technology. It also provides a foundation for developing and testing clinical applications of audibility-based counseling strategies.
Understanding complex legislative and judicial behaviour via hierarchical ideal point estimation

Summary. Ideal point estimation is an important tool to study legislative and judicial voting behaviours. We propose a hierarchical ideal point estimation framework that directly models complex voting behaviours on the basis of the characteristics of the political actors and the votes that they cast. Through simulations and empirical examples we show that this framework holds good promise for resolving many unsettled issues, such as the multi‐dimensional aspects of ideology, and the effects of political parties. As a companion to this paper, we offer an easy‐to‐use R package that implements the methods discussed.
Differential immediate and long-term effects of nitrogen input on denitrification N2O/(N2O+N2) ratio along a 0‒5.2 m soil profile

High nitrogen (N) input to soil can cause higher nitrous oxide (N2O) emissions, that is, a higher N2O/(N2O+N2) ratio, through an inhibition of N2O reductase activity and/or a decrease in soil pH. We assumed that there were two mechanisms for the effects of N input on N2O emissions, immediate and long-term effect. The immediate effect (field applied fertilizer N) can be eliminated by decreasing the N input, but not the long-term effect (soil accumulated N caused by long–term fertilization). Therefore, it is important to separate these effects to mitigate N2O emissions. To this end, soil samples along a 0‒5.2 m profile were collected from a long-term N fertilization experiment field with two N application rates, that is, 600 kg N ha-1 year-1 (N600) and no fertilizer N input (N0). External N addition was conducted for each subsample in the laboratory incubation study to produce two additional treatments, which were denoted as N600+N and N0+N treatments. The results showed that the combined immediate and long-term effects led to an increase in the N2O/(N2O+N2) ratio by 6.8%. Approximately 32.6% and 67.4% of increase could be explained by the immediate and long-term effects of N input, respectively. Meanwhile, the long-term effects were significantly positively correlated to soil organic carbon (SOC). These results indicate that excessive N fertilizer input to the soil can lead to increased N2O emissions if the soil has a high SOC content. The long-term effect of N input on the N2O/(N2O+N2) ratio should be considered when predicting soil N2O emissions under global environmental change scenarios.
From Chicago classification v3.0 to v4.0: Diagnostic changes and clinical implications

The Chicago Classification (CC) used to define esophageal motility disorders in high‐resolution manometry (HRM) has evolved over time. Our aim was to compare the frequency of motility disorders diagnosed with the last two versions (CCv3.0 and CCv4.0) and to evaluate symptoms severity according to the diagnoses.
Association between TP73 G4C14-A4T14 polymorphism and different cancer types: an updated meta-analysis of 55 case–control studies

Objective The TP73 G4C14-A4T14 variant has been associated with elevated cancer risk, but the evidence is inconclusive. We performed a meta-analysis to clarify the role of this variant in cancer development. Methods Eligible literature was selected by searching PubMed, Google Scholar, Cochrane Library, and Embase. The meta-analysis was performed using Review Manager 5.4. Results A meta-analysis of 55 case–control studies showed that the G4C14-A4T14 variant was significantly associated with overall cancer development in five genetic models, including the allele model (AM), codominant model 1 (COD1), COD2, dominant model (DM), and over-dominant model (OD). Sub-group analysis based on ethnicity showed significantly higher risks in Africans in COD2 and RM and in Whites in AM, COD2, DM, and recessive model (RM). Cancer-specific subgroup analysis identified significant risks of gynecological (ovarian, cervical, and endometrial cancer), colorectal, oral, head and neck, and other cancers. Moreover, hospital-based controls revealed significant cancer risks in the AM, COD1, COD2, DM, and RM genetic models. Our findings were confirmed by trial sequential analysis. Conclusion This meta-analysis confirmed that TP73 G4C14-A4T14 significantly elevates the overall cancer risk, especially in White, African, and hospital-based populations, and specifically predisposes individuals to gynecological, colorectal, oral, and head and neck cancers. This meta-analysis was registered at INPLASY (registration number: INPLASY202210070).
Targeting Circuit Abnormalities in Neurodegenerative Disease

Despite significant improvement in our ability to diagnose both common and rare neurodegenerative diseases and understand their underlying biologic mechanisms, there remains a disproportionate lack of effective treatments, reflecting the complexity of these disorders. Successfully advancing novel treatments for neurodegenerative disorders will require reconsideration of traditional approaches, which to date have focused largely on specific disease proteins or cells of origin. This article proposes reframing these diseases as conditions of dysfunctional circuitry as a complement to ongoing efforts. Specifically reviewed is how aberrant spiking is a common downstream mechanism in numerous neurodegenerative diseases, often driven by dysfunction in specific ion channels. Surgical modification of this electrical activity via deep brain stimulation is already an approved modality for many of these disorders. Therefore, restoring proper electrical activity by targeting these channels pharmacologically represents a viable strategy for intervention, not only for symptomatic management but also as a potential disease-modifying therapy. Such an approach is likely to be a promising route to treating these devastating disorders, either as monotherapy or in conjunction with current drugs. SIGNIFICANCE STATEMENT Despite extensive research and improved understanding of the biology driving neurodegenerative disease, there has not been a concomitant increase in approved therapies. Accordingly, it is time to shift our perspective and recognize these diseases also as disorders of circuitry to further yield novel drug targets and new interventions. An approach focused on treating dysfunctional circuitry has the potential to reduce or reverse patient symptoms and potentially modify disease course.
Zhu's Theorem and an algebraic characterization of conformal blocks

Working in the axiomatic framework recently proposed by Gaberdiel and Goddard, we prove a generalized version of Zhu's Theorem; for any chiral bosonic conformal field theory on the sphere, our result characterizes the chiral blocks in terms of a certain quotient of the Fock space. We also establish, under a finiteness hypothesis closely related to rationality of the theory, that the relevant Knizhnik-Zamolodchikov-type equation admits solutions.
EQUIVARIANT DEFINABLE MORSE FUNCTIONS ON DEFINABLE $C^{\infty}G$ MANIFOLDS (New developments of independence notions in model theory)

Let $G$ be a compact aﬃne deﬁnable $C ^{\infty}$ group, $X$ a compact deﬁnable $C ^{\infty}G$ manifold and $f$ an equivariant deﬁnable Morse function on $X$ . We prove that if $f$ has no critical value in $[a, b]$ , then $f ^{-1}((-$ oo, $a])$ is deﬁnably $C ^{\infty}G$ diﬀeomorphic to $f ^{-1}$ ( $($ -00, $b])$ . Moreover we prove that if $r$ is a positive integer $g1 ^{\backslash}eater$ than 1, then the set of equivariant deﬁnable Morse functions on $X$ whose critical loci are ﬁnite unions of nondegenerate critical orbits is dense in the set of $G$ invariant $c \infty$ functions on $X$ with respect to the $C$ ‘ Whitney topology.