Miracle-dz/UniFAR-FTUs huggingface dataset:
Promises, Pitfalls, and Tradeoffs in Identifying Gifted Learners: Evidence from a Curricular Experiment

Disparities in gifted representation across demographic subgroups represents a large and persistent challenge in U.S. public schools. In this paper, we measure the impacts of a school-wide curricular intervention designed to address such disparities. We implemented Nurturing for a Bright Tomorrow (NBT) as a cluster randomized trial across elementary schools with the low gifted identification rates in one of the nation’s largest school systems. NBT did not boost formal gifted identification or math achievement in the early elementary grades. It did increase reading achievement in select cohorts and broadly improved performance on a gifted identification measure that assesses nonverbal abilities distinct from those captured by more commonly used screeners. These impacts were driven by Hispanic and female students. Results suggest that policymakers consider a more diverse battery of qualifying exams to narrow disparity gaps in gifted representation and carefully weigh tradeoffs between universal interventions like NBT and more targeted approaches. Disparities in gifted representation across demographic subgroups represents a large and persistent challenge in U.S. public schools. In this paper, we measure the impacts of a school-wide curricular intervention designed to address such disparities. We implemented Nurturing for a Bright Tomorrow (NBT) as a cluster randomized trial across elementary schools with the low gifted identification rates in one of the nation’s largest school systems. NBT did not boost formal gifted identification or math achievement in the early elementary grades. It did increase reading achievement in select cohorts and broadly improved performance on a gifted identification measure that assesses nonverbal abilities distinct from those captured by more commonly used screeners. These impacts were driven by Hispanic and female students. Results suggest that policymakers consider a more diverse battery of qualifying exams to narrow disparity gaps in gifted representation and carefully weigh tradeoffs between universal interventions like NBT and more targeted approaches. We measure the causal impacts of NBT on four sets of outcomes. First, we examine its impact on gifted identification, which students test for in grade 3. Students in NBT schools received the intervention for three years, from kindergarten to grade 2. Second, we examine NBT’s impact on a screener, the Naglieri Nonverbal Abilities Test (NNAT), that the district piloted in order to better understand alternative gifted pathways. Our experiment offered an ideal setting in which to pilot the NNAT with a subsample of students and to test the impact of NBT on this new (to the district) measure. Third, we measure the impact of NBT on math and reading achievement in grades K-2 using the Number Knowledge Test (NKT) and the Dynamic Indicators of Basic Early Literacy Skills (DIBELS), which assesses the impacts of NBT on early content knowledge. Finally, we estimate the extent to which NBT fosters engagement by measuring its impacts on excused and unexcused absences.
SPEAKING RATE AND LINGUISTIC PROCESSING SPEED IN CIIILDREN AFTER ACQUIRED BRAIN INJURY

Two studies were conducted to examine speaking rate following pediatric traumatic brain injury (TBI). In Study 1, five ofnine subjects with severe TBI were found to have significantly slowed speaking rates, measured physically and perceptually, up to 13 months post injury. Study 2 revealed that reduced articulatory speed and increased pausing believed to be associated with linguistic processing difficulties may contribute independently to these speaking rate reductions. INTRODUCTION Interest in the smeh and language abilities of children following traumatic brain injury (TBI) has grown significantly over the past decade. However, virtually no empirical evidence is available concerning one of the most commonly reported sequelae of TBI: significantly slowed speaking rate. There are several plausible reasons why TBI might result in slowed speaking rates. First, complex motoric skills are known to be vulnerable to disruption by the diffuse damage characteristic of severe TBI [1]. Second, increased latency and slowed speed of response have been reported on a variety of neuropsychological measures following TBI, particularly when processing demands are high [2]. This generally slowed processing speed could result in reduced speaking rate due to deficits in the processes needed to support such linguistic operations as lexical retrieval and syntactic formulation [3]. The present investigation consisted of two studies. In the first, we documented the magnitude of speech rate reductions longitudinally in nine children and adolescents with severe TBI. In Study 2, we examined the contributions of two potential influences on slowed speaking rate: reduced articulatory speed and increased pausing presumably reflective of deficits in linguistic processing.
On some new method of incorporation prior information along with its uncertainty in regression estimation

The paper is devoted to the problem of incorporating prior information in the regression estimation. In series of papers, see [3-6], we have proposed and analyzed some model of uncertainty which allow incorporating prior information along with its uncertainty via some Bayes estimators. We also introduced the notion of an Index of Uncertainty (IU) which indicate how useful the information and consequently the proposed estimators are. The results and methodology are summarized in [7]. Here, assuming different than in the mentioned papers prior knowledge about the regression problems, we propose a new description of uncertainty along with an index of uncertainty which was developed on the base of computer simulation.
Annealing studies of 24 GeV proton irradiated Nitrostrips detectors and Alibava clustering software implementation in PyROOT

This work addresses the study of irradiation effects on nitrogen enriched float zone silicon pad-diodes that are expected to support higher radiation induced damages. The evolution of current and capacitance with annealing was studied for Float Zone and Nitrogen enriched samples irradiated with 24 GeV protons with fluences φ=7.3x10 Neq/cm and φ=2.55x10 Neq/cm. The results obtained are in agreement with previous studies performed on sensors irradiated with 23 MeV protons and fluences φ=1x10 Neq/cm and φ=3x10 Neq/cm. The nitrogenated samples show no perceptible difference with respect to the non-nitrogenated ones. In addition, a Python clustering algorithm for silicon strip sensors was developed.
Typical behavior of the harmonic measure in critical Galton-Watson trees

We study the typical behavior of the harmonic measure of balls in large critical Galton-Watson trees whose offspring distribution has finite variance. The harmonic measure considered here refers to the hitting distribution of height $n$ by simple random walk on a critical Galton-Watson tree conditioned to have height greater than $n$. We prove that, with high probability, the mass of the harmonic measure carried by a random vertex uniformly chosen from height $n$ is approximately equal to $n^{-\lambda}$, where the constant $\lambda>1$ does not depend on the offspring distribution. This universal constant $\lambda$ is equal to the first moment of the asymptotic distribution of the conductance of size-biased Galton-Watson trees minus 1.
Bernstein–Greene–Kruskal Ion Modes in Dusty Space Plasmas Application in Saturn’s Magnetosphere

Frequent observations of ion beams moving out from Saturn’s plasma environment hints at the generation of ion Bernstein–Greene–Kruskal (BGK) modes. As the plasma environments of Saturn and its moon Enceladus are characterized by the ubiquitous presence of massive negatively charged dust particles, the existing BGK theory for electron-ion plasma models cannot address this scenario. This manuscript develops a theoretical model for studying ion BGK modes in dusty plasmas. The analysis reveals that the presence of dust in the plasma enhances the stability of BGK modes. As the dust density increases, the effect of other parameters on stability, such as the electron temperature, becomes negligible. The model is developed by assuming that electrons and ions follow a kappa distribution, featuring a long tail trend in the superthermal component, in agreement with observations. Different scenarios with either electrons or ions obeying a Maxwell or kappa distribution function have been considered. A thorough analysis of the trapped ion distribution function considering various combinations indicates that a plasma where electrons are in thermal equilibrium and ions follow kappa distribution is the least favorable system for the generation of BGK modes.
An algebraic model for commutative Hℤ–algebras

We show that the homotopy category of commutative algebra spectra over the Eilenberg-Mac Lane spectrum of the integers is equivalent to the homotopy category of E-infinity-monoids in unbounded chain complexes. We do this by establishing a chain of Quillen equivalences between the corresponding model categories. We also provide a Quillen equivalence to commutative monoids in the category of functors from the category of finite sets and injections to unbounded chain complexes.
Model for coupled ferroelectric hysteresis using time fractional operators : Application to innovative energy harvesting

Energy harvesting based on mechanical vibration has been a long time research topic for the last few decades. In addition to enhancing the energy conversion amount, another objective is to master and give a precise model with consideration of the disciplines of piezoelectric material behavior. A precise model for the ferroelectric material is mighty needed in the energy harvesting process, so as to give an instruction to the prototype designing and modelling optimizing. In this thesis, a model working on wide bandwidth considering the nonlinearity of the piezoceramic has been developed. The employment of the fractional derivative has broadened the usage of this model on expanded bandwidth. The model permit to predict the evolution of the dielectric polarization as well as the mechanical displacement, which has been tested on different samples under different kinds of stimulation (pure mechanical, pure electrical and hybrid of electrical and mechanical excitations). This fractional derivative factor has been first developed under electrical excitations to describe the dynamic behavior. In the development of this model to mechanical field, the fractional derivative factor was found available as well under the mechanical excitation in the same value. In the following study, an inverse of mechanical model has been developed as well. In the end, we stimulate the piezoceramic using both electrical and mechanical excitation to augment the energy harvesting amount which could become a promising method in energy harvesting field. Every model has been exhaustively demonstrated and specific measuring benches have been established to validate these models. Experiments results and simulations in different kinds of excitations (amplitudes, frequencies) for every kind of the above models have been compared. Good approximation has been acquired indicating the model has a good accuracy in describing the material property and dynamic behavior.
The Error Distribution of BATSE Gamma-Ray Burst Locations

Empirical probability models for BATSE gamma-ray burst (GRB) location errors are developed via a Bayesian analysis of the separations between BATSE GRB locations and locations obtained with the Interplanetary Network (IPN). Models are compared and their parameters estimated using 392 GRBs with single IPN annuli and 19 GRBs with intersecting IPN annuli. Most of the analysis is for the 4Br BATSE catalog; earlier catalogs are also analyzed. The simplest model that provides a good representation of the error distribution has 78% of the probability in a "core" term with a systematic error of 1. °85 and the remainder in an extended tail with a systematic error of 5. °1, which implies a 68% confidence radius for bursts with negligible statistical uncertainties of 2. °2. There is evidence for a more complicated model in which the error distribution depends on the BATSE data type that was used to obtain the location. Bright bursts are typically located using the CONT data type, and according to the morecomplicated model, the 68% confidence radius for CONT-located bursts with negligible statistical uncertainties is 2. °0.
Structure of full-length TSH receptor in complex with antibody K1-70™

Determination of the full-length thyroid-stimulating hormone receptor (TSHR) structure by cryo-electron microscopy (cryo-EM) is described. The TSHR complexed with human monoclonal TSHR autoantibody K1-70™ (a powerful inhibitor of TSH action) was detergent solubilised, purified to homogeneity and analysed by cryo-EM. The structure (global resolution 3.3 Å) is a monomer with all three domains visible: leucine-rich domain (LRD), hinge region (HR) and transmembrane domain (TMD). The TSHR extracellular domain (ECD, composed of the LRD and HR) is positioned on top of the TMD extracellular surface. Extensive interactions between the TMD and ECD are observed in the structure, and their analysis provides an explanation of the effects of various TSHR mutations on TSHR constitutive activity and on ligand-induced activation. K1-70™ is seen to be well clear of the lipid bilayer. However, superimposition of M22™ (a human monoclonal TSHR autoantibody which is a powerful stimulator of the TSHR) on the cryo-EM structure shows that it would clash with the bilayer unless the TSHR HR rotates upwards as part of the M22™ binding process. This rotation could have an important role in TSHR stimulation by M22™ and as such provides an explanation as to why K1-70™ blocks the binding of TSH and M22™ without activating the receptor itself.
Enzymatic independent role of sphingosine kinase 2 in regulating the expression of type I interferon during influenza A virus infection

Influenza virus has the ability to circumvent host innate immune system through regulating certain host factors for its effective propagation. However, the detailed mechanism is still not fully understood. Here, we report that a host sphingolipid metabolism-related factor, sphingosine kinase 2 (SPHK2), upregulated during influenza A virus (IAV) infection, promotes IAV infection in an enzymatic independent manner. The enhancement of the virus replication is not abolished in the catalytic-incompetent SPHK2 (G212E) overexpressing cells. Intriguingly, the sphingosine-1-phosphate (S1P) related factor HDAC1 also plays a crucial role in SPHK2-mediated IAV infection. We found that SPHK2 cannot facilitate IAV infection in HDAC1 deficient cells. More importantly, SPHK2 overexpression diminishes the IFN-β promoter activity upon IAV infection, resulting in the suppression of type I IFN signaling. Furthermore, ChIP-qPCR assay revealed that SPHK2 interacts with IFN-β promoter through the binding of demethylase TET3, but not with the other promoters regulated by TET3, such as TGF-β1 and IL6 promoters. The specific regulation of SPHK2 on IFN-β promoter through TET3 can in turn recruit HDAC1 to the IFN-β promoter, enhancing the deacetylation of IFN-β promoter, therefore leading to the inhibition of IFN-β transcription. These findings reveal an enzymatic independent mechanism on host SPHK2, which associates with TET3 and HDAC1 to negatively regulate type I IFN expression and thus facilitates IAV propagation.
Role of SNAP‐25 MnlI variant in impaired working memory and brain functions in attention deficit/hyperactivity disorder

Attention deficit/hyperactivity disorder (ADHD) is a hereditary neurodevelopmental disorder characterized by working memory (WM) deficits. The MnlI variant (rs3746544) of the synaptosomal‐associated protein 25 (SNAP‐25) gene is associated with ADHD. In this study, we investigated the role and underlying mechanism of SNAP‐25 MnlI variant in cognitive impairment and brain functions in boys with ADHD.
Design, synthesis, spectroscopic characterizations, in vitro pancreatic lipase as well as tyrosinase inhibition evaluations and in silico analysis of novel aryl sulfonate-naphthalene hybrids

Abstract One of the primary purposes of this study is to synthesize new aryl sulfonate-naphthalene hybrid structures possessing divergent electron-withdrawing and electron-releasing functional groups. Following the improved reaction conditions, we successfully gathered ten distinct sulfonate derivatives (3a-j) with good yields. The synthesized naphthalene-based sulfonate derivatives were then characterized using appropriate analytical methods (FT-IR, 1H-NMR, 13C-NMR, HRMS, and elemental analysis). Additionally, in vitro and in silico enzyme inhibitory properties of the prepared aryl sulfonate-naphthalene hybrid structures were evaluated against pancreatic lipase and tyrosinase enzymes. Corresponding in vitro enzyme activity investigations revealed that the produced compounds inhibit pancreatic lipase and tyrosinase enzymes significantly. According to the lowest IC50 values, 3h (95.3 ± 4.0 µM) demonstrated the most effective inhibition against pancreatic lipase, whereas 3a (40.8 ± 3.3 µM) was found as the most effective inhibition against the tyrosinase. According to in silico studies, 3a exhibited the highest affinity value (−9.9 kcal/mol) against pancreatic lipase, whereas 3f demonstrated the best affinity value (−8.7 kcal/mol) against tyrosinase. Furthermore, we investigated various structural and physicochemical properties of the target molecules, namely frontier orbital’ (HOMO, LUMO, and bandgap) energies (including their corresponding contour plots), global reactivity descriptors (ionization energy and electron affinity), and electronegativity values gathered from ground-state (GS) density functional theory (DFT) calculations. These investigations demonstrated that the observed electrostatic interactions effectively contributed to the studied molecules’ experimentally demonstrated enzyme inhibition potential. Also, ADMET studies were evaluated to enlighten the molecular interactions of the compounds with the enzymes. Communicated by Ramaswamy H. Sarma
Psychosocial factors associated with health-related quality of life in patients with chronic disease: Results of a cross-sectional survey

Objective The impact of various psychosocial factors (sense of coherence, illness perception, patient enablement, self-efficacy, health literacy, personality) is not fully understood across a wide range of chronic diseases, and in particular in patients with multimorbidity. As such, this study assessed the key psychosocial factors associated with impaired health-related quality of life (HRQoL) in patients with one or more chronic diseases based on cross-sectional data collected in Flanders (Belgium). Methods Cross-sectional data on 544 chronically ill patients were analysed. Multiple linear regression models were built to analyze the key psychosocial factors associated with HRQoL (EQ-5D-5Lindex as dependent factor). Results Overall, the strongest independently associated factor with HRQoL was illness perceptions (β = −0.52, P < 0.001). In addition, sense of coherence (β = 0.14, P = < 0.05) was independently positively associated with HRQoL. Moreover, after stratification for multimorbidity, the negative association of illness perceptions with HRQoL was stronger when multimorbidity is present compared to when it is absent (β = −0.62, P < 0.001 vs β = −0.38, P < 0.001). Conclusions This study revealed interesting associations of the modifiable psychosocial factors of illness perceptions and sense of coherence with HRQoL in a population of chronically ill persons. Given that the burden of chronic diseases will rise in the next decades, designing and implementing interventions that enhance these psychosocial abilities of patients, especially illness perceptions in multimorbid patients, is needed in order to reduce the burden of chronic diseases in terms of impaired HRQoL.
Ultra‐Narrow Phosphorene Nanoribbons Produced by Facile Electrochemical Process

Phosphorene nanoribbons (PNRs) have inspired strong research interests to explore their exciting properties that are associated with the unique two‐dimensional (2D) structure of phosphorene as well as the additional quantum confinement of the nanoribbon morphology, providing new materials strategy for electronic and optoelectronic applications. Despite several important properties of PNRs, the production of these structures with narrow widths is still a great challenge. Here, a facile and straightforward approach to synthesize PNRs via an electrochemical process that utilize the anisotropic Na+ diffusion barrier in black phosphorus (BP) along the [001] zigzag direction against the [100] armchair direction, is reported. The produced PNRs display widths of good uniformity (10.3 ± 3.8 nm) observed by high‐resolution transmission electron microscopy, and the suppressed B2g vibrational mode from Raman spectroscopy results. More interestingly, when used in field‐effect transistors, synthesized bundles exhibit the n‐type behavior, which is dramatically different from bulk BP flakes which are p‐type. This work provides insights into a new synthesis approach of PNRs with confined widths, paving the way toward the development of phosphorene and other highly anisotropic nanoribbon materials for high‐quality electronic applications.
Allogeneic hematopoietic stem cell transplantation with myeloablative conditioning regimen for blastic plasmacytoid dendritic cell neoplasm patients in complete remission: a single center study

Abstract Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematopoietic malignancy characterized by poor prognosis even following an allogeneic hematopoietic stem cell transplantation (allo-HSCT). We retrospectively analyzed 15 patients diagnosed with BPDCN who underwent an allo-HSCT with myeloablative conditioning (MAC) at our center. The male to female ratio was 11:4. The median age of 36 (range: 6–70) years, all patients initially presented with extramedullary lesions (13 with cutaneous lesions, 1 in the breast and 1 in the lymph nodes) and involved the bone marrow, two cases were diagnosed as central nervous system leukemia (CNSL). Nine patients were in CR1 and six patients were in CR2 status prior to HSCT. All patients received the MAC regimen and an unmanipulated graft. All patients successfully engraftment and achieved full donor chimerism. One patient developed poor graft function, three patients developed aGVHD (Grade I, II, and IV), and seven patients developed cGVHD (mild in 6; moderate in 1). The median follow-up time for survival was 34 (range: 6–64) months. The primary endpoint, overall leukemia-free survival (LFS) rate and overall survival rate was 73.3 ± 10.5%. Allo-HSCT with MAC is a valid option for BPDCN patients in complete remission.
DEPENDENT MIXED ACCEPTANCE SAMPLING PLANS AND THEIR EVALUATION

Abstract : The report gives procedures for evaluating the operating characteristic curves and associated measures of dependent mixed (variables - attributes) acceptance sampling plans for the case of single specification limit, and known standard deviation, assuming a normal distribution. A useful generalized dependent plan is developed, using two attributes acceptance numbers rather than one. Also included is a comparison of dependent mixed plans with other types of acceptance sampling plans.