bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing academic talent as a practicing school psychologist: From potential to expertise
Authors: Dixson Dante D. , Olszewski‐Kubilius Paula , Subotnik Rena F. , Worrell Frank C. 
Published: March 2020

AbstractIn this article, we explore how school psychologists who adopt a talent development perspective can play a larger role in cultivating the talent of academically gifted students. Utilizing the talent development megamodel and Ackerman's model of expertise, we outline how school psychologists can consult with school administrators, teachers, and parents to meet the general and domain‐specific academic needs of academically gifted students at home and in school. In addition, we discuss how school psychologists can leverage systems of assessment (e.g., universal screening, continued assessment) to identify academically gifted students across academic talent trajectories as well as provide students with multiple opportunities to exhibit their academic talents. We conclude by highlighting some diversity and multi‐cultural considerations that school psychologists should keep in mind while developing academic talent, as well as a policy implication of school psychologists adopting a talent development approach to their work.
Structural studies on 10‐hydroxygeraniol dehydrogenase: A novel linear substrate‐specific dehydrogenase from Catharanthus roseus
Authors: Sandholu Anand S. , Mujawar Sharmila P. , Ramakrishnan Krithika , Thulasiram Hirekodathakallu V. , Kulkarni Kiran 
Published: March 2020

AbstractConversion of 10‐hydroxygeraniol to 10‐oxogeranial is a crucial step in iridoid biosynthesis. This reaction is catalyzed by a zinc‐dependent alcohol dehydrogenase, 10‐hydroxygeraniol dehydrogenase, belonging to the family of medium‐chain dehydrogenase/reductase (MDR). Here, we report the crystal structures of a novel 10‐hydroxygeraniol dehydrogenase from Catharanthus roseus in its apo and nicotinamide adenine dinucleotide phosphate (NADP+) bound forms. Structural analysis and docking studies reveal how subtle conformational differences of loops L1, L2, L3, and helix α9' at the orifice of the catalytic site confer differential activity of the enzyme toward various substrates, by modulating the binding pocket shape and volume. The present study, first of its kind, provides insights into the structural basis of substrate specificity of MDRs specific to linear substrates. Furthermore, comparison of apo and NADP+ bound structures suggests that the enzyme adopts open and closed states to facilitate cofactor binding.
Investigation of structural, elastic, thermophysical, magneto‐electronic, and transport properties of newly tailored Mn‐based Heuslers: A density functional theory study
Authors: Sofi Shakeel Ahmad , Gupta Dinesh C. 
Published: March 2020

AbstractSelf‐consistent ab‐initio calculations with highly precise spin‐polarized, density functional theory have been performed for the first time, to investigate the electronic structure, magnetism, transport, elasto‐mechanical, and thermophysical properties of newly tailored Mn‐based full‐Heuslers. The cohesive and ground‐state energy calculations in ferromagnetic, nonmagnetic, and antiferromagnetic states confirm the stability of materials in face‐centered ferromagnetic configuration. The spin‐based band structure analysis is well defined by modified Becke‐Johnson potential with the occurrence of half‐metallic character along the Fermi level. Estimation of elastic parameters is used to check the mechanical stability and nature of forces occurring in materials, where we see the alloys display ductile nature along with a Debye temperature of 398.75 K for Mn2NbAl, 337.53 K for Mn2NbGa, and 360.52 K for Mn2NbIn. Furthermore, within the solution of Boltzmann theory, thermoelectric efficient parameters address its applications in energy harvesting and solid‐state device applications. Thermodynamic potentials have been keenly predicted by implementing quasi harmonic Debye model to descript its stability at high temperature and pressure varying conditions. The prediction of ground state and thermodynamic properties from extensive first‐principles calculations could be beneficial for its future experimental insights with intriguing applications. Hence, the overall theme from the current study creates an application stand in spintronics, power generation, as well as green energy sources for future technologies.
Terminal location method with NLOS exclusion based on unsupervised learning in 5G‐LEO satellite communication systems
Authors: Zhu Feng , Ba Teer , Zhang Yuan , Gao Xiqi , Wang Jiang 
Published: March 2020

SummaryWe investigate the terminal location method in 5G‐Low Earth Orbit (5G‐LEO) satellite communication systems. To overcome the dependence on the external Global Navigation Satellite System (GNSS), we propose to use a single LEO satellite in 5G‐LEO satellite communication systems for terminal location and utilize the downlink synchronization detection for pseudorange differential measurement. Then, a data clustering method of unsupervised machine learning is proposed to classify the measured data into line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) signals. Furthermore, the NLOS data are excluded, and the Taylor series expansion iteration method is used to calculate the terminal coordinates. Simulation results show that the proposed method can effectively reduce the influence of NLOS error on measurement results and improve the accuracy of terminal location. In simulated urban scenario, the average location accuracy is improved from 10 km by traditional methods to 0.7 km and the convergence time is reduced from 400 to 250s.
Probing the Interaction of Nucleobases and Fluorophore‐Tagged Nucleobases with Graphene Surface: Adsorption and Fluorescence Studies
Authors: Bhai Surjit , Ganguly Bishwajit 
Published: March 2020

AbstractAdsorption of a fluorophore‐labeled DNA oligonucleotide by graphene nano‐probes is of interest to exploit as bio‐sensing material. This work reports the fluorescence properties of fluorophore tagged nucleobases on the graphene surface computationally. The interaction of nucleobases and fluorophore tagged nucleobases to the graphene surface examined using M062X/6‐31G(d) level of theory in the gas phase and ethanol solvent. The binding energies of nucleobases on the graphene surface in the gas phase follows the order: G>A≥C≥T in agreement with the previous reports. The slab model calculations performed with LDA/PWC/DND level of theory also revealed a similar binding affinity on the graphene surface in the gas phase. The fluorescence of benzoxazole as fluorophore tagged with nucleobase on graphene surface was investigated using TD‐DFT M06‐2X/6‐31G(d) level of theory. The binding preference of the fluorophore tagged nucleobases is not significantly different in ethanol solvent. The aromaticity of the nucleobases tagged fluorophore on the graphene surface was investigated by NICS (1) and NICS (1)zz calculations and the aromaticity was found to be increased upon interaction with the graphene surface. The fluorescence quenching upon binding of fluorophore tagged nucleobases on graphene surface revealed the importance of purine nucleobases and found to be more prominent with guanine tagged fluorophore.
Multidimension‐Controllable Synthesis of MOF‐Derived Co@N‐Doped Carbon Composite with Magnetic‐Dielectric Synergy toward Strong Microwave Absorption
Authors: Huang Mengqiu , Wang Lei , Pei Ke , You Wenbin , Yu Xuefeng , Wu Zhengchen , Che Renchao 
Published: March 2020

AbstractMetal–organic framework (MOF) is highly desirable as a functional material owing to its low density, tunable pore size, and diversity of coordination formation, but limited by the poor dielectric properties. Herein, by controlling the solvent and mole ratio of cobalt/linker, multidimension‐controllable MOF‐derived nitrogen‐doped carbon materials exhibit tunable morphology from sheet‐, flower‐, cube‐, dodecahedron‐ to octahedron‐like. Tunable electromagnetic parameters of Co@N‐doped carbon composites (Co@NC) can be obtained and the initial MOF precursor determines the distribution of carbon framework and magnetic cobalt nanoparticles. Carbonized Co@NC composites possess the following advantages: i) controllable dimension and morphology to balance the electromagnetic properties with evenly charged density distribution; ii) magnetic‐carbon composites offer plenty of interfacial polarization and strong magnetic coupling network; iii) a MOF‐derived dielectric carbon skeleton provides electronic transportation paths and enhances conductive dissipation. Surface‐mediated magnetic coupling reflects the stray magnetic flux field, which is corroborated by the off‐axis electron holography and micro‐magnetic simulation. Optimized octadecahedral Co@NC sample exhibits the best microwave absorption (MA) of −53.0 dB at the thickness of 1.8 mm and broad effective frequency from 11.4 to 17.6 GHz (Ku‐band). These results pave the way to fabricate high‐performance MA materials with balanced electromagnetic distribution and controlled morphology.
Degradable branched polycationic systems for nucleic acid delivery
Authors: Qi Yu , Xu Chen , Xu Fu‐Jian 
Published: March 2020

AbstractNowadays, nucleic acid‐based therapy has become a promising way for the treatment of various malignant diseases like cancers. However, the process of nucleic acid delivery is hampered by several extracellular and intracellular obstacles. To overcome these obstacles, many nucleic acid delivery carriers have been developed to achieve improved safety and enhanced gene transfection performance. Among these carriers, degradable branched polycations have attracted much attention due to their good responsive degradability and impressive transfection performances. In this review, we mainly summarized the redox‐ and pH‐responsive degradable branched polycationic systems used for nucleic acid delivery. For responsive degradable branched polycationic systems, the preparation methods were introduced, where amino‐epoxy ring‐opening reaction as a novel step growth approach was mainly presented. The properties of redox‐ and pH‐responsive degradable branched polycationic systems were subsequently introduced and highlighted. We hope this brief review will motivate the delicate design of responsive degradable branched polycationic systems for potential clinical applications.This article is categorized under:

Biology‐Inspired Nanomaterials > Nucleic Acid‐Based Structures
Microbiome and Cardiovascular Disease
Authors: Herrema Hilde , Nieuwdorp Max , Groen Albert K. 
Published: March 2020

AbstractAtherosclerotic cardiovascular disease (ASCVD) is a prime example of a systems disease. In the initial phase, apolipoprotein B-containing cholesterol-rich lipoproteins deposit excess cholesterol in macrophage-like cells that subsequently develop into foam cells. A multitude of systemic as well as environmental factors are involved in further progression of atherosclerotic plaque formation. In recent years, both oral and gut microbiota have been proposed to play an important role in the process at different stages. Particularly bacteria from the oral cavity may easily reach the circulation and cause low-grade inflammation, a recognized risk factor for ASCVD. Gut-derived microbiota on the other hand can influence host metabolism on various levels. Next to translocation across the intestinal wall, these prokaryotes produce a great number of specific metabolites such as trimethylamine and short-chain fatty acids but can also metabolize endogenously formed bile acids and convert these into metabolites that may influence signal transduction pathways. In this overview, we critically discuss the novel developments in this rapidly emerging research field.
Exploring anomalous couplings in Higgs boson pair production through shape analysis
Authors: Capozi M. , Heinrich G. 
Published: March 2020

Abstract
We classify shapes of Higgs boson pair invariant mass distributions mhh, calculated at NLO with full top quark mass dependence, and visualise how distinct classes of shapes relate to the underlying coupling parameter space. Our study is based on a five-dimensional parameter space relevant for Higgs boson pair production in a non-linear Effective Field Theory framework. We use two approaches: an analysis based on predefined shape types and a classification into shape clusters based on unsupervised learning. We find that our method based on unsupervised learning is able to capture shape features very well and therefore allows a more detailed study of the impact of anomalous couplings on the mhh shape compared to more conventional approaches to a shape analysis.
Emergent Adler-Bardeen theorem
Authors: Mastropietro Vieri 
Published: March 2020

Abstract
We consider a QEDd+1, d = 1, 3 lattice model with emergent Lorentz or chiral symmetry, both when the interaction is irrelevant or marginal. While the correlations present symmetry breaking corrections, we prove that the Adler-Bardeen (AB) non-renormalization property holds at a non-perturbative level even at finite lattice: all radiative corrections to the anomaly are vanishing. The analysis uses a new technique based on the combination of non-perturbative regularity properties obtained by exact renormalization Group methods and Ward Identities. The AB property, essential for the renormalizability of the standard model, is therefore a robust feature imposing no constraints on possible symmetry breaking terms, at least in the class of lattice models considered.
Strong dark matter self-interaction from a stable scalar mediator
Authors: Duch Mateusz , Grzadkowski Bohdan , Huang Da 
Published: March 2020

Abstract
In face of the small-scale structure problems of the collisionless cold dark matter (DM) paradigm, a popular remedy is to introduce a strong DM self-interaction which can be generated nonperturbatively by a MeV-scale light mediator. However, if such a mediator is unstable and decays into SM particles, the model is severely constrained by the DM direct and indirect detection experiments. In the present paper, we study a model of a self-interacting fermionic DM, endowed with a light stable scalar mediator. In this model, the DM relic abundance is dominated by the fermionic DM particle which is generated mainly via the freeze-out of its annihilations to the stable mediator. Since this channel is invisible, the DM indirect detection constraints should be greatly relaxed. Furthermore, the direct detection signals are suppressed to an unobservable level since fermionic DM scatterings with a nucleon appear at one-loop level. By further studying the bounds from the CMB, supernovae and BBN on the visible channels involving the dark sector, we show that there is a large parameter space which can generate appropriate DM self-interactions at dwarf galaxy scales, while remaining compatible with other experimental constraints.
One-leg inactivity induces a reduction in mitochondrial oxidative capacity, intramyocellular lipid accumulation and reduced insulin signalling upon lipid infusion: a human study with unilateral limb suspension
Authors: Bilet Lena , Phielix Esther , van de Weijer Tineke , Gemmink Anne , Bosma Madeleen , Moonen-Kornips Esther , Jorgensen Johanna A. , Schaart Gert , Zhang Dongyan , Meijer Kenneth , Hopman Maria , Hesselink Matthijs K. C. , Ouwens D. Margriet , Shulman Gerald I. , Schrauwen-Hinderling Vera B. , Schrauwen Patrick 
Published: March 2020

Abstract
Aims/hypothesis
Physical inactivity, low mitochondrial function, increased intramyocellular lipid (IMCL) deposition and reduced insulin sensitivity are common denominators of chronic metabolic disorders, like obesity and type 2 diabetes. Yet, whether low mitochondrial function predisposes to insulin resistance in humans is still unknown.

Methods
Here we investigated, in an intervention study, whether muscle with low mitochondrial oxidative capacity, induced by one-legged physical inactivity, would feature stronger signs of lipid-induced insulin resistance. To this end, ten male participants (age 22.4 ± 4.2 years, BMI 21.3 ± 2.0 kg/m2) underwent a 12 day unilateral lower-limb suspension with the contralateral leg serving as an active internal control.

Results
In vivo, mitochondrial oxidative capacity, assessed by phosphocreatine (PCr)-recovery half-time, was lower in the inactive vs active leg. Ex vivo, palmitate oxidation to 14CO2 was lower in the suspended leg vs the active leg; however, this did not result in significantly higher [14C]palmitate incorporation into triacylglycerol. The reduced mitochondrial function in the suspended leg was, however, paralleled by augmented IMCL content in both musculus tibialis anterior and musculus vastus lateralis, and by increased membrane bound protein kinase C (PKC) θ. Finally, upon lipid infusion, insulin signalling was lower in the suspended vs active leg.

Conclusions/interpretation
Together, these results demonstrate, in a unique human in vivo model, that a low mitochondrial oxidative capacity due to physical inactivity directly impacts IMCL accumulation and PKCθ translocation, resulting in impaired insulin signalling upon lipid infusion. This demonstrates the importance of mitochondrial oxidative capacity and muscle fat accumulation in the development of insulin resistance in humans.

Trial registration
ClinicalTrial.gov NCT01576250.

Funding
PS was supported by a ‘VICI’ Research Grant for innovative research from the Netherlands Organization for Scientific Research (Grant 918.96.618).
GATA4-targeted compound exhibits cardioprotective actions against doxorubicin-induced toxicity in vitro and in vivo: establishment of a chronic cardiotoxicity model using human iPSC-derived cardiomyocytes
Authors: Karhu S. Tuuli , Kinnunen Sini M. , Tölli Marja , Välimäki Mika J. , Szabó Zoltán , Talman Virpi , Ruskoaho Heikki 
Published: March 2020

AbstractDoxorubicin is a widely used anticancer drug that causes dose-related cardiotoxicity. The exact mechanisms of doxorubicin toxicity are still unclear, partly because most in vitro studies have evaluated the effects of short-term high-dose doxorubicin treatments. Here, we developed an in vitro model of long-term low-dose administration of doxorubicin utilizing human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Moreover, given that current strategies for prevention and management of doxorubicin-induced cardiotoxicity fail to prevent cancer patients developing heart failure, we also investigated whether the GATA4-targeted compound 3i-1000 has cardioprotective potential against doxorubicin toxicity both in vitro and in vivo. The final doxorubicin concentration used in the chronic toxicity model in vitro was chosen based on cell viability data evaluation. Exposure to doxorubicin at the concentrations of 1–3 µM markedly reduced (60%) hiPSC-CM viability already within 48 h, while a 14-day treatment with 100 nM doxorubicin concentration induced only a modest 26% reduction in hiPCS-CM viability. Doxorubicin treatment also decreased DNA content in hiPSC-CMs. Interestingly, the compound 3i-1000 attenuated doxorubicin-induced increase in pro-B-type natriuretic peptide (proBNP) expression and caspase-3/7 activation in hiPSC-CMs. Moreover, treatment with 3i-1000 for 2 weeks (30 mg/kg/day, i.p.) inhibited doxorubicin cardiotoxicity by restoring left ventricular ejection fraction and fractional shortening in chronic in vivo rat model. In conclusion, the results demonstrate that long-term exposure of hiPSC-CMs can be utilized as an in vitro model of delayed doxorubicin-induced toxicity and provide in vitro and in vivo evidence that targeting GATA4 may be an effective strategy to counteract doxorubicin-induced cardiotoxicity.
Severe symptoms and very low quality-of-life among outpatients newly diagnosed with advanced cancer: data from a multicenter cohort study
Authors: Siemens Waldemar , Schönsteiner Stefan S. , Orellana-Rios Claudia Lorena , Schaekel Ulrike , Kessler Jens , Eschbach Corinna , Viehrig Marén , Mayer-Steinacker Regine , Becker Gerhild , Gaertner Jan 
Published: March 2020

Abstract
Purpose
The aim of this study was to identify symptoms of severe intensity or very low scores for quality of life (QoL) domains in newly diagnosed outpatients with advanced cancer.

Methods
This multicenter cohort study from a state-wide palliative care network included adult outpatients with advanced cancer diagnosed within the preceding 8 weeks from four comprehensive cancer centers (DRKS00006162, registered on 19 May 2014). We used the Palliative Outcome Scale (POS), Hospital Anxiety and Depression Scale, and European Organization for Research and Treatment of Cancer QoL Questionnaire-C30. For each questionnaire, cut-off scores defined symptoms and QoL domains that were considered “severe” or “very low.”

Results
Of 3155 patients screened, 481/592 (81.3%) were analyzed (mean age 62.4; women n = 245, 50.9%). We identified 324/481 (67.4%) patients experiencing at least one severe symptom or a very low QoL domain (median 2; range 0 to 16). Role functioning (n = 180, 37.4%), fatigue (n = 162, 33.7%), and social functioning (n = 126, 26.2%) were most commonly affected. QoL was very low in 89 patients (18.5%). Women experienced more anxiety symptoms, fatigue, and had lower POS scores. Patients often mentioned physical symptoms and fears of adverse events resulting from disease-modifying therapies (e.g., chemotherapy) as most relevant problems.

Conclusions
Already within the first 8 weeks after diagnosis, the majority of patients reported at least one severe symptom or a very low QoL domain. Gender differences were evident. The findings illustrate the value of early routine assessment of patient burden and the development of multi-professional and interdisciplinary palliative care.
On defending against label flipping attacks on malware detection systems
Authors: Taheri Rahim , Javidan Reza , Shojafar Mohammad , Pooranian Zahra , Miri Ali , Conti Mauro 
Published: March 2020

AbstractLabel manipulation attacks are a subclass of data poisoning attacks in adversarial machine learning used against different applications, such as malware detection. These types of attacks represent a serious threat to detection systems in environments having high noise rate or uncertainty, such as complex networks and Internet of Thing (IoT). Recent work in the literature has suggested using the K-nearest neighboring algorithm to defend against such attacks. However, such an approach can suffer from low to miss-classification rate accuracy. In this paper, we design an architecture to tackle the Android malware detection problem in IoT systems. We develop an attack mechanism based on silhouette clustering method, modified for mobile Android platforms. We proposed two convolutional neural network-type deep learning algorithms against this Silhouette Clustering-based Label Flipping Attack. We show the effectiveness of these two defense algorithms—label-based semi-supervised defense and clustering-based semi-supervised defense—in correcting labels being attacked. We evaluate the performance of the proposed algorithms by varying the various machine learning parameters on three Android datasets: Drebin, Contagio, and Genome and three types of features: API, intent, and permission. Our evaluation shows that using random forest feature selection and varying ratios of features can result in an improvement of up to 19% accuracy when compared with the state-of-the-art method in the literature.