Miracle-dz/UniFAR-FTUs huggingface dataset:
The positive–negative mode link between brain connectivity, demographics and behaviour: a pre-registered replication of Smith et al. (2015)

In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to mental health disorders. Recently, a family of data-driven analyses have provided such reliable measures when applied to large, population-level datasets. In the current pre-registered replication study, we show that the canonical correlation analysis (CCA) methods previously developed using resting-state magnetic resonance imaging functional connectivity and subject measures (SMs) of cognition and behaviour from healthy adults are also effective in measuring well-being (a ‘positive–negative axis') in an independent developmental dataset. Our replication was successful in two out of three of our pre-registered criteria, such that a primary CCA mode's weights displayed a significant positive relationship and explained a significant amount of variance in both functional connectivity and SMs. The only criterion that was not successful was that compared to other modes the magnitude of variance explained by the primary CCA mode was smaller than predicted, a result that could indicate a developmental trajectory of a primary mode. This replication establishes a signature neurotypical relationship between connectivity and phenotype, opening new avenues of research in neuroscience with clear clinical applications.
Ambient forcing: sampling local perturbations in constrained phase spaces

Ambient forcing is a novel method to sample random states from manifolds of differential-algebraic equations (DAE). These states can represent local perturbations of nodes in power systems with loads, which introduces constraints into the system. These states must be valid initial conditions to the DAE, meaning that they fulfill the algebraic equations. Additionally, these states should represent perturbations of individual variables in the power grid, such as a perturbation of the voltage at a load. These initial states enable the calculation of probabilistic stability measures of power systems with loads, which was not yet possible, but is important as these measures have become a crucial tool in studying power systems. To verify that these perturbations are network local, i.e. that the initial perturbation only targets a single node in the power grid, a new measure, the spreadability, related to the closeness centrality (Freeman 1978 Soc. Netw. 1 215–39), is presented. The spreadability is evaluated for an ensemble of typical power grids. The ensemble depicts a set of future power grids where consumers, as well as producers, are connected to the grid via inverters. For this power grid ensemble, we additionally calculate the basin stability (Menck et al 2013 Nat. Phys. 9 89–92) as well as the survivability (Hellmann et al 2016 Sci. Rep. 6 29654), two probabilistic measures which provide statements about asymptotic and transient stability. We also revisit the topological classes, introduced in (Nitzbon et al 2017 New. J. Phys. 19 033029), that have been shown to predict the basin stability of grids and explore if they still hold for grids with constraints and voltage dynamics. We find that the degree of the nodes is a better predictor than the topological classes for our ensemble. Finally, ambient forcing is applied to calculate probabilistic stability measures of the IEEE 96 test case (Grigg et al 1999 IEEE Trans. Power Syst. 14 1010–20).
Fuzzing Class Specifications

Expressing class specifications via executable constraints is important for various software engineering tasks such as test generation, bug finding and automated debugging, but developers rarely write them. Techniques that infer specifications from code exist to fill this gap, but they are designed to support specific kinds of assertions and are difficult to adapt to support different assertion languages, e.g., to add support for quantification, or additional comparison operators, such as membership or containment. To address the above issue, we present SPECFUZZER, a novel technique that combines grammar-based fuzzing, dynamic invariant detection, and mutation analysis, to automatically produce class specifications. SPECFUZZER uses: (i) a fuzzer as a generator of candidate assertions derived from a grammar that is automatically obtained from the class definition; (ii) a dynamic invariant detector -Daikon- to filter out assertions invalidated by a test suite; and (iii) a mutation-based mechanism to cluster and rank assertions, so that similar constraints are grouped and then the stronger prioritized. Grammar-based fuzzing enables SPECFUZZER to be straightforwardly adapted to support different specification languages, by manipulating the fuzzing grammar, e.g., to include additional operators. We evaluate our technique on a benchmark of 43 Java methods employed in the evaluation of the state-of-the-art techniques GAssert and EvoSpex. Our results show that SPECFUZZER can easily support a more expressive assertion language, over which is more effective than GAssert and EvoSpex in inferring specifications, according to standard performance metrics.
RATIONAL POINTS OF BOUNDED HEIGHT ON GENUS ZERO MODULAR CURVES AND AVERAGE ANALYTIC RANKS OF ELLIPTIC CURVES OVER NUMBER FIELDS

We give asymptotics for the number of isomorphism classes of elliptic curves over arbitrary number fields with certain prescribed level structures and prescribed local conditions. In particular, we count the number of points of bounded height on many genus zero modular curves which are isomorphic to a weighted projective space. This includes the cases of X (N) for N ∈ {1, 2, 3, 4, 5}, X1(N) for N ∈ {1, 2, . , 10, 12}, and X0(N) for N ∈ {1, 2, 4, 6, 8, 9, 12, 16, 18}. In all cases we give an asymptotic with an expression for the leading coefficient, and in many cases we also give a power savings error term. Our results for counting points on modular curves follow from more general results for counting points of bounded height on weighted projective spaces. Using our results for counting elliptic curves over number fields with a prescribed local condition, we are able to give a conditional bound for the average analytic rank of elliptic curves over an arbitrary number field. In particular, under the assumptions that all elliptic curves over a number fieldK are modular and have L-functions which satisfy the Generalized Riemann Hypothesis, we show that the average analytic rank of isomorphism classes of elliptic curves over K is bounded above by 3 deg(K) + 1/2.
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation

Session-based recommendation which has been witnessed a booming interest recently, focuses on predicting a user’s next interested item(s) based on an anonymous session. Most existing studies adopt complex deep learning techniques (e.g., graph neural networks) for effective session-based recommendation. However, they merely address co-occurrence between items, but fail to well distinguish causality and correlation relationship. Considering the varied interpretations and characteristics of causality and correlation relationship between items, in this study, we propose a novel method denoted as CGSR by jointly modeling causality and correlation relationship between items. In particular, we construct cause, effect and correlation graphs from sessions by simultaneously considering the false causality problem. We further design a graph neural network-based method for session-based recommendation. To conclude, we strive to explore the relationship between items from specific “causality” (directed) and “correlation” (undirected) perspectives. Extensive experiments on three datasets show that our model outperforms other state-of-the-art methods in terms of recommendation accuracy. Moreover, we further propose an explainable framework on CGSR, and demonstrate the explainability of our model via case studies on Amazon dataset.
Robust Disturbance Rejection for Robotic Bipedal Walking: System-Level-Synthesis with Step-to-step Dynamics Approximation

We present a stepping stabilization control that addresses external push disturbances on bipedal walking robots. The stepping control is synthesized based on the step-to-step (S2S) dynamics of the robot that is controlled to have an approximately constant center of mass (COM) height. We first learn a linear S2S dynamics with bounded model discrepancy from the undisturbed walking behaviors of the robot, where the walking step size is taken as the control input to the S2S dynamics. External pushes are then considered as disturbances to the learned S2S (L-S2S) dynamics. We then apply the system-level-synthesis (SLS) approach on the disturbed L-S2S dynamics to robustly stabilize the robot to the desired walking while satisfying the kinematic constraints of the robot. We successfully realize the proposed approach on the walking of the bipedal robot AMBER and Cassie subject to push disturbances, showing that the approach is general, effective, and computationally-efficient for robust disturbance rejection.
Increased Serum Level of CCL5 in Children with Attention‑Deficit/ Hyperactivity Disorder: First Results about Serum Chemokines

Objective Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder and its aetiology is not fully understood. This study aimed to determine whether the CCL5 and CCL11 influence the ADHD aetiology by comparing serum CCL5 and CCL11 levels of children with ADHD and typical development. Methods This study included 45 (27 males, mean age = 8.9 ± 1.7 years) treatment-naive patients diagnosed with ADHD and 35 (20 males, mean age = 8.8 ± 1.6 years) healthy controls. Participants ranged in age between 6−12 years and completed the Conners Teacher Rating Scale that assesses ADHD presentation and severity. CCL5 and CCL11 serum levels were also measured using enzyme-linked immunosorbent assay kits. Results Significantly higher serum CCL5 levels were found in children with ADHD compared to healthy controls (p < 0.001). No significant difference was found between the mean serum CC11 level of the patients and controls (p = 0.93). In addition, there was no significant correlation between the serum CCL5 and CCL11 levels and predominant presentations of ADHD and disease severity. Conclusion This study suggests that there are higher levels of serum CCL5 in drug naive children with ADHD, this findings suggest that CCL5 might play a role in the pathophysiology of ADHD. Moreover, these changes in peripheral blood may have therapeutic value. In addition, these results help to understand the role of chemokines in elucidating the etiopathogenesis of ADHD. Our results can be considered as the first step in investigating the role of CCL5 in ADHD, and further research is needed to support these initial findings.
Multi‐centre prospective randomised controlled clinical trial to evaluate a bioactive split thickness skin allograft vs standard of care in the treatment of diabetic foot ulcers

Diabetic foot ulcers (DFUs) pose a significant risk for infection and limb loss. Advanced wound therapies including human skin allografts have shown promise in resolving these challenging wounds. The primary objective of this randomised, prospective study was to compare the response of 100 subjects with non‐healing DFUs of which 50 were treated with a cryopreserved bioactive split thickness skin allograft (BSA) (TheraSkin; Misonix,Inc., Farmingdale, NY) compared with 50 subjects treated with standard of care (SOC, collagen alginate dressing) at 12 weeks. Both groups received standardised care that included glucose monitoring, weekly debridement's as appropriate, and an offloading device. The primary endpoint was proportion of full‐thickness wounds healed at 12 weeks, with secondary endpoints including differences in percent area reduction (PAR) at 12 weeks, changes in Semmes‐Weinstein monofilament score, VAS pain, and w‐QoL. The result illustrated in the intent‐to‐treat analysis at 12 weeks showed that 76% (38/50) of the BSA‐treated DFUs healed compared with 36% (18/50) treated with SOC alone (adjusted P = .00056). Mean PAR at 12 weeks was 77.8% in the BSA group compared with 49.6% in the SOC group (adjusted P = .0019). In conclusion, adding BSA to SOC appeared to significantly improve wound healing with a lower incidence of adverse events related to treatment compared with SOC alone.
Delay-Dependent Stability Analysis of Load Frequency Control Systems With Electric Vehicles

This article investigates the problem of delay-dependent stability for the one-area load frequency control (LFC) system with electric vehicles (EVs). Two closed-loop models of the LFC system with EVs are proposed, including the model based on the model reconstructed technique and the model with uncertain parameters that considers state of charge. By employing the Lyapunov–Krasovskii functional method, two delay-dependent stability criteria are presented for the systems under study such that a more accurate admissible delay upper bound (ADUB) can be obtained. Case studies are finally carried out to disclose the interrelationship between the ADUB, PI controller gains, and other parameters of the EVs.
Predictors and long‐term outcomes of in‐hospital switching from clopidogrel to ticagrelor among patients with acute coronary syndrome undergoing percutaneous coronary intervention

This study evaluated clinical outcomes of switching from clopidogrel to ticagrelor in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). The clinical benefit of in‐hospital switching from clopidogrel to ticagrelor in these patients remains unclear. Among patients with ACS initially receiving clopidogrel, logistic regression was used to identify independent predictors of switching to ticagrelor. Multivariable Cox regression was used to compare efficacy and safety between switching to ticagrelor and continuing clopidogrel. The primary endpoint was net adverse clinical events (NACEs) at 12 months, a composite of major adverse cardiovascular events (MACE) and Bleeding Academic Research Consortium (BARC) type 2/3/5 bleeding. Among 10,519 patients initially receiving clopidogrel, 1405 (13.4%) were switched to ticagrelor at discharge. Stent number, left main artery lesions, diabetes, male sex, age, estimated glomerular filtration rate of <45 ml/min/1.73 m2, and history of PCI or stroke were identified as independent predictors of switching to ticagrelor. The rate of NACE (hazard ratio [HR]: 1.51; 95% confidence interval [CI]: 1.18–1.91) or BARC type 2/3/5 bleeding (HR: 2.01; 95% CI: 1.52–2.66) was significantly higher in patients switching to ticagrelor than in those continuing clopidogrel. The risk of MACE was comparable between both the groups (HR: 0.71; 95% CI: 0.41–1.22). In real‐world practice, in‐hospital switching from clopidogrel to ticagrelor was independently associated with several clinical factors. Patients switching to ticagrelor had a higher rate of NACE or BARC type 2/3/5 bleeding than those continuing clopidogrel, without any reduction in the MACE rate.
Cardiovascular effects of intravenous pimobendan in dogs with acute respiratory acidosis.

OBJECTIVE Acidosis decreases myocardial contractile and myofibrillar responsiveness by reducing the calcium sensitivity of contractile proteins, which could reduce the effectiveness of pimobendan. We aimed to assess the cardiovascular effects of pimobendan in dogs subjected to acute respiratory acidosis. DESIGN Randomized crossover study with a 2-week washout period. SETTING University Laboratory. ANIMALS Six healthy research Beagle dogs. INTERVENTIONS Anesthetized dogs were administered 2 doses of IV pimobendan during conditions of eucapnia (Paco2 35-40 mm Hg) and hypercapnia (Paco2 90-110 mm Hg). Eucapnia was maintained by positive pressure ventilation and hypercapnia was induced by adding exogenous CO2 to the anesthesia circuit. Heart rate (HR), systemic arterial blood pressure, cardiac output (CO), systemic and pulmonary vascular resistance (SVR and PVR, respectively), and pulmonary arterial pressure (PAP) were measured at baseline and 60 min after administering 0.125 mg/kg (low) and 0.25 mg/kg (high) pimobendan intravenously. Blood gas and biochemical analyses were performed at baseline and at the end of the experiment. MEASUREMENTS AND MAIN RESULTS The median baseline blood pH was 7.41 (range: 7.33-7.45) and 7.03 (range: 6.98-7.09) under conditions of eucapnia and hypercapnia, respectively. The serum concentrations of epinephrine and norepinephrine and the HR, CO, and PAP were higher, and SVR was lower at baseline in hypercapnic dogs. Pimobendan dose-dependently increased CO in eucapnia (baseline: 3.6 ± 0.2 L/kg/m2 [mean ± SE], low: 5.0 ± 0.4 L/kg/m2 , high: 5.8 ± 0.5 L/kg/m2 , P < 0.001) and hypercapnia (baseline: 4.9 ± 0.5 L/kg/m2 , low: 5.8 ± 0.5 L/kg/m2 , high: 6.2 ± 0.5 L/kg/m2 , P < 0.001), and increased HR and decreased SVR and PVR under both conditions (P < 0.001). In hypercapnia, the degree of increase or decrease of these cardiovascular measurements (except for PAP) by pimobendan was less than that in the eucapnic dogs. CONCLUSIONS Pimobendan maintains function as an inodilator in anesthetized dogs with induced respiratory acidosis.
Preliminary findings on TBI knowledge of professionals working with justice-involved youth

Abstract Professionals working with justice-involved youth (JIYs) play a critical role in identifying and providing supports and services related to traumatic brain injury (TBI). The aim of this study was to better understand the knowledge of TBI of professionals working with JIYs, a research priority identified by the National Conference of State Legislatures. Fifty employees of an urban juvenile court system completed an online survey about their TBI knowledge. Respondents scored an average of 77.31% correct, yet patterns emerged in item responses and based on participant characteristics that indicate opportunities for training and education on TBI. The results of this preliminary study provide foundational evidence on TBI knowledge of professionals working with JIYs, inform future TBI-related trainings and education provided to professionals working with JIYs, and inform other practices and policies related to JIYs with TBI.
Classic Psychedelic Drugs: Update on Biological Mechanisms

Renewed interest in the effects of psychedelics in the treatment of psychiatric disorders warrants a better understanding of the neurobiological mechanisms underlying the effects of these substances. During the past two decades, state-of-the-art studies of animals and humans have yielded new important insights into the molecular, cellular, and systems-level actions of psychedelic drugs. These efforts have revealed that psychedelics affect primarily serotonergic receptor subtypes located in cortico-thalamic and cortico-cortical feedback circuits of information processing. Psychedelic drugs modulate excitatory-inhibitory balance in these circuits and can participate in neuroplasticity within brain structures critical for the integration of information relevant to sensation, cognition, emotions, and the narrative of self. Neuroimaging studies showed that characteristic dimensions of the psychedelic experience obtained through subjective questionnaires as well as alterations in self-referential processing and emotion regulation obtained through neuropsychological tasks are associated with distinct changes in brain activity and connectivity patterns at multiple-system levels. These recent results suggest that changes in self-experience, emotional processing, and social cognition may contribute to the potential therapeutic effects of psychedelics.
COVID-19 lockdown, personal protective equipment, hyper-hygiene and allergy.

Summary At the beginning of Sars-Cov 2 pandemic, in the absence of "targeted" therapies, the national health authorities have introduced some measures aimed at reducing the spread of infection in the community (lockdown, social distancing, personal protective equipment (PPE), personal hygiene and disinfection of living environments). All the containment measures have led to both positive and negative effects in patients with allergic diseases. We believe that further studies should be undertaken to investigate the possible correlations between SARS-CoV-2 infection and allergy, from a broader perspective. In particular, the risk factors for the development of undesirable effects should be investigated, especially in healthcare professionals forced to use PPE and sanitizing agents for a long time. However, since the COVID-19 pandemic probably will not be short-lived, the use of such protective aids will necessarily be widespread even in the general population. Therefore, further studies on the materials used for the production of PPE and sanitizing agents would be necessary to reduce their sensitizing and, in some cases, toxic potential.
Delivery indication matters for perinatal outcomes in late preterm newborns

Abstract Background The late preterm (LP) rate in Western countries is 3–6% of all births, accounting for about two-thirds of the entire preterm population. However, all LP babies are not the same. Aims To identify pregnancies at risk for adverse outcomes in the LP period, we investigated how gestational age (GA) at delivery, delivery indication and prenatal risk factors may affect neonatal outcomes. Study design Prospective cohort study among singleton infants born between 34 + 0 and 36 + 6 weeks, in Emilia Romagna, Italy, during 2013–2015. Outcomes measures The primary outcome was a composite of adverse perinatal outcomes. Multivariate logistic regression models were used to, respectively, investigate the effects of GA at delivery, circumstances at parturition and prenatal risk factors, on study outcomes after controlling for confounding variable. Results Among 1867 births, 302, 504, and 1061 infants were born at 34, 35, and 36 weeks, respectively. There were no neonatal deaths. An increased risk of composite neonatal outcome was observed among 34 and 35 weeks deliveries compared with 36 weeks, and among indicated deliveries compared with spontaneous. When studying prenatal risk factors, neonatal morbidity was associated with pre gestational diabetes, preterm premature rupture of membranes (pPROM), maternal obesity, bleeding and polyhydramnios; instead, preeclampsia had a protective effect. Conclusion LP with indicated deliveries at 34 or 35 weeks, or with specific prenatal risk factors have worse neonatal outcome when compared to 36. Such differences should be considered when counseling patients and planning interventions such as timing of delivery in LP period.