bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting teachers’ implementation of culturally and contextually relevant class‐wide behavior plans
Authors: Fallon Lindsay M. , Cathcart Sadie C. , DeFouw Emily R. , O'Keeffe Breda V. , Sugai George 
Published: February 2018

AbstractDisproportionality in disciplinary actions for certain racial groups has been well documented for several decades. In an effort to support all students, specifically those who are culturally and linguistically diverse, many have called for adopting a multitiered system of support framework that is considerate of student culture and school context. This framework applies to supporting students’ learning and behavior across settings, particularly in the classroom. To bridge existing gaps between theory and practice, this empirical study sought to evaluate whether teachers who self‐assessed their own use of culturally and contextually relevant practices would implement a class‐wide behavior plan with high levels of implementation fidelity. Results indicated that teachers who engaged in self‐assessment and training did implement the plan with high levels of implementation fidelity, particularly when given performance feedback. Additionally, students tended to display slightly higher rates of academic engagement upon consistent implementation of the plan.
Addressing escape‐maintained behavior for students with developmental disabilities: A systematic review of school‐based interventions
Authors: Dart Evan H. , Radley Keith C. , Mason Benjamin A. , Allen Justin P. 
Published: February 2018

AbstractStudents with developmental disabilities have been found to exhibit higher rates of problem behavior in the classroom than their typically developing peers. Effectively addressing these students’ behavior concerns requires the identification of interventions that can be implemented in an educational setting. Furthermore, matching intervention strategies to the function of a student's problem behavior may increase its effectiveness. There are data to suggest that students with disabilities exhibit escape‐maintained problem behavior in the classroom twice as frequently as problem behavior maintained by other consequences such as attention or access to tangibles. Thus, the purpose of this systematic review was to identify school‐based intervention strategies that have been used to reduce the disruptive behavior of students with developmental disabilities. In total, 12 articles met search criteria, with escape extinction, curricular modification, and noncontingent escape serving as the most frequently employed intervention strategies. Limitations and future directions are discussed.
Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
Authors: Ziegler Greg , Nelson Randall , Granada Stephanie , Krishnan Hari B. , Gillman Jason D. , Baxter Ivan 
Published: February 2018

AbstractThe elemental content of a soybean seed is a determined by both genetic and environmental factors and is an important component of its nutritional value. The elemental content is chemically stable, making the samples stored in germplasm repositories an intriguing source of experimental material. To test the efficacy of using samples from germplasm banks for gene discovery, we analyzed the elemental profile of seeds from 1,653 lines in the USDA Soybean Germplasm Collection. We observed large differences in the elemental profiles based on where the lines were grown, which lead us to break up the genetic analysis into multiple small experiments. Despite these challenges, we were able to identify candidate single nucleotide polymorphisms (SNPs) controlling elemental accumulation as well as lines with extreme elemental accumulation phenotypes. Our results suggest that elemental analysis of germplasm samples can identify SNPs in linkage disequilibrium to genes, which can be leveraged to assist in crop improvement efforts.
“I didn't want to be in charge and yet I was”: Bereaved caregivers' accounts of providing home care for family members with advanced cancer
Authors: Mohammed Shan , Swami Nadia , Pope Ashley , Rodin Gary , Hannon Breffni , Nissim Rinat , Hales Sarah , Zimmermann Camilla 
Published: February 2018

AbstractObjectiveTo describe bereaved caregivers' experiences of providing care at home for patients with advanced cancer, while interacting with home care services.MethodsCaregivers of patients who had completed a 4‐month randomized controlled trial of early palliative care versus standard oncology care were recruited 6 months to 5 years after the patient's death. All patients except one (control) had eventually received palliative care. In semi‐structured interviews, participants were asked about their experiences of caregiving. Grounded theory guided all aspects of the study.ResultsSixty‐one bereaved caregivers (30 intervention, 31 control) were interviewed, including spouses (33), adult children (19), and other family (9). There were no differences in themes between control and intervention groups. The core category of Taking charge encompassed caregivers' assumption of active roles in care, often in the face of inadequate formal support. There were 4 interrelated subcategories: (1) Navigating the system—navigating the complexities of the home care system to access resources and supports; (2) Engaging with professional caregivers—interacting with visiting personnel to advocate for consistency and quality of care; (3) Preparing for death—seeking out information about what to expect at the end of life; and (4) Managing after death—managing multiple administrative responsibilities in the emotionally charged period following death.ConclusionsCaregivers were often thrust into assuming control in order to compensate for deficiencies in formal palliative home care services. Policies, quality indicators, and guidelines are needed to ensure the provision of comprehensive, interdisciplinary home palliative care.
Identification of Host‐Response in Cerebral Malaria Patients Using Quantitative Proteomic Analysis
Authors: Kumar Manish , Varun Chakrakodi N. , Dey Gourav , Ravikumar Raju , Mahadevan Anita , Shankar Susarla Krishna , Prasad T. S. Keshava 
Published: February 2018

PurposeThe objective of this study was to study the altered proteome in the frontal lobe of patients with CM. Unbiased analysis of differentially abundant proteins could lead to identification of host responses againstPlasmodium falciparuminfection, which will aid in better understanding of the molecular mechanism of pathophysiology in CM.Experimental designTMT‐based quantitative proteomic analysis using high‐resolution mass spectrometry is employed. In brief, proteins are isolated from frontal lobe samples, which are collected at autopsy from three cases of CM and three control subjects. Equal amounts of protein from each case are digested using trypsin and labeled with different TMT reagents. The pooled sample is fractionated using strong cation exchange chromatography and analyzed on Orbitrap Fusion in triplicates. For accurate quantitation of peptides, the samples are analyzed in MS3 mode. The data is searched against a combined database of human andP. falciparumproteins using Sequest and Mascot search engines.ResultsA total of 4174 proteins are identified, of which, 107 are found to be differentially abundant in the test samples with significantp‐value (<0.05). Proteins associated with biological processes such as innate immune response, complement system, coagulation, and platelet activation are found to be elevated in CM cases. In contrast, proteins associated with myelination, oxidative phosphorylation, regulation of reactive oxygen species, and sodium and calcium ions transport are found to be depleted in response to CM. In addition, threeP. falciparumproteins exclusively in CM brain samples are also identified.Conclusions and clinical relevanceThe study signifies neuronal assault due to axonal injury, altered sodium and calcium ion channels, deregulated inflammation and demyelination as a part of host response to CM. Enhanced oxidative stress, repressed oxidative phosphorylation, and demyelination of axons may contribute to the severity of the disease. Further validation of these results on a large cohort can provide leads in the development of neuroprotective therapies for CM.
Effect of Titanium and Zirconium Hydrides on the Detonation Heat of RDX‐based Explosives – A Comparison to Aluminium
Authors: Cudziło Stanisław , Trzciński Waldemar A. , Paszula Józef , Szala Mateusz , Chyłek Zbigniew 
Published: February 2018

AbstractDetonation heats of RDX‐based non‐ideal explosives containing 15, 30 and 45 % of Al, (Al/ZrH2), TiH2 and ZrH2 were measured with a water calorimeter set. To get more information on the behaviour of the additives in the detonations performed in an argon atmosphere, the solid post‐detonation products extracted from the calorimetric bomb were analysed to determine their elemental and phase compositions. The calorimetric heats were compared with the detonation energies obtained from thermochemical calculations. All the tested explosives produce more energy during detonation in the bomb than RDX itself, but only aluminium positively influences the total energy release. The results of thermal and XRD analyses indicate that post‐detonation products contain mainly carbonaceous materials, metal oxides, unreacted hydrides and/or the metals. Unexpectedly TiH2 is the least reactive additive. At TiH2 content of 45 %, the heat effect is close to that of calculated with an assumption of complete inertness of the additive. Moreover TiH2 and metallic titanium are present in the bomb residues in a significant amount.
Large scale ab initio modeling of structurally uncharacterized antimicrobial peptides reveals known and novel folds
Authors: Kozic Mara , Fox Stephen J. , Thomas Jens M. , Verma Chandra S. , Rigden Daniel J. 
Published: February 2018

AbstractAntimicrobial resistance within a wide range of infectious agents is a severe and growing public health threat. Antimicrobial peptides (AMPs) are among the leading alternatives to current antibiotics, exhibiting broad spectrum activity. Their activity is determined by numerous properties such as cationic charge, amphipathicity, size, and amino acid composition. Currently, only around 10% of known AMP sequences have experimentally solved structures. To improve our understanding of the AMP structural universe we have carried out large scale ab initio 3D modeling of structurally uncharacterized AMPs that revealed similarities between predicted folds of the modeled sequences and structures of characterized AMPs. Two of the peptides whose models matched known folds are Lebocin Peptide 1A (LP1A) and Odorranain M, predicted to form β‐hairpins but, interestingly, to lack the intramolecular disulfide bonds, cation‐π or aromatic interactions that generally stabilize such AMP structures. Other examples include Ponericin Q42, Latarcin 4a, Kassinatuerin 1, Ceratotoxin D, and CPF‐B1 peptide, which have α‐helical folds, as well as mixed αβ folds of human Histatin 2 peptide and Garvicin A which are, to the best of our knowledge, the first linear αββ fold AMPs lacking intramolecular disulfide bonds. In addition to fold matches to experimentally derived structures, unique folds were also obtained, namely for Microcin M and Ipomicin. These results help in understanding the range of protein scaffolds that naturally bear antimicrobial activity and may facilitate protein design efforts towards better AMPs.
Lower scaling approximation to EOM‐CCSD: A critical assessment of the ionization problem
Authors: Dutta Achintya Kumar , Vaval Nayana , Pal Sourav 
Published: February 2018

AbstractIn this article, we investigate the performance of different approximate variants of the EOM‐CCSD method for calculation of ionization potential (IP), as compared to EOM‐CCSDT reference values. None of the lower scaling approximations to the EOM‐CCSD method give a consistent performance for valence, inner valence, and core ionization, favoring one, or the other depending on the nature of the approximation used. The parent EOMIP‐CCSD method gives superior performance for valence IP but can show large errors for inner valence and core ionization. The problem is particularly severe for core‐ionization, where even the EOMIP‐CCSDT method cannot provide quantitative accuracy.
Atomic Layer Co3O4 Nanosheets: The Key to Knittable Zn–Air Batteries
Authors: Chen Xu , Zhong Cheng , Liu Bin , Liu Zhi , Bi Xuanxuan , Zhao Naiqing , Han Xiaopeng , Deng Yida , Lu Jun , Hu Wenbin 
Published: February 2018

AbstractFlexible, wearable, and portable energy storage devices with high‐energy density are crucial for next‐generation electronics. However, the current battery technologies such as lithium ion batteries have limited theoretical energy density. Additionally, battery materials with small scale and high flexibility which could endure the large surface stress are highly required. In this study, a yarn‐based 1D Zn–air battery is designed, which employs atomic layer thin Co3O4 nanosheets as the oxygen reduction reaction/oxygen evolution reaction catalyst. The ultrathin nanosheets are synthesized by a high‐yield and facile chemical method and show a thickness of only 1.6 nm, corresponding to few atomic layers. The 1D Zn–air battery shows high cycling stability and high rate capability. The battery is successfully knitted into clothes and it shows high stability during the large deformation and knotting conditions.
Tunable Microscale Porous Systems with Dynamic Liquid Interfaces
Authors: Zhan Kan , Hou Xu 
Published: February 2018

AbstractSolid microscale porous material systems have attracted more attention in recent years due to their various potential applications, such as energy source transportations, biomedical devices, wastewater treatments, phase separations, etc. However, such systems are still plagued with many issues including fouling, mechanical fragility, inability to self‐heal, and low recyclability that restrict them for further industrial applications. Dynamic liquid‐based microscale porous material systems, especially porous surfaces and membranes, provide a new opportunity for resolving these issues and possess many benefits, such as antifouling, slippery, transparent, recovery, self‐healing, and recycling properties. This Concept is mainly concerned with how to obtain tunable microscale porous systems with dynamic liquid interfaces, and their applications from the surfaces to membranes. The authors hope this concept will attract interest of scientists in areas related to the rapid development and application of various liquid‐based porous systems.
Driving the Crystallization of Zeolites
Authors: Lu Peng , Villaescusa L. A. , Camblor M. A. 
Published: February 2018

AbstractThe synthesis of zeolites with new structures and/or improved properties heavily relies on trial and error efforts that are not entirely blind, as the large empirical background accumulated for the last 7 decades can be, to some extent, rationalized and purposefully used to make new materials. The so‐called structure‐directing factors may be combined to promote (or frustrate) the crystallization of a particular structure. This personal account opens with the concept of geoinspiration, as suggested by Prof. Ruiz‐Hitzky, and its application to zeolite synthesis. We then provide a concise overview of structure‐direction in the synthesis of zeolites and detail examples, both new and from the literature, on how they can be combined to drive the crystallization towards (or away from) structures displaying particular features.
Molecular simulations in drug delivery: Opportunities and challenges
Authors: Katiyar Ratna S. , Jha Prateek K. 
Published: February 2018

Molecular simulations are promising tools for in silico design of drug delivery formulations, as they provide a prediction of formulation properties prior to synthesis thus minimizing the need for in vitro and in vivo experimentation. The detailed molecular insight obtained by these simulations is precious and often beyond the reach of sophisticated experimental facilities. Although initially limited to the prediction of single‐molecule behavior (e.g., drug orientation in a bilayer), gradual advances in computing speed and efficient simulation approaches have made it feasible to employ these methods for phenomena occurring at substantially large length and time scales (e.g., carrier‐drug complexation) with modest computational cost and resources. We present a nonmathematical review of molecular simulation methods and their applications in drug delivery, with special emphasis on the use of atomistic and coarse‐grained Monte Carlo (MC) and molecular dynamics (MD) methods and excluding the drug docking studies used in drug discovery. Current capabilities and problems associated with the use of these methods in the context of drug delivery are highlighted, along with a discussion of representative applications of molecular simulations in drug delivery. We conclude that while molecular simulations are expected to play a central role in the future of drug delivery field, we require a concerted effort of computational scientists, experimentalists, and industry personnel working on drug delivery to identify specific areas where these simulations can be especially useful.This article is categorized under:

Structure and Mechanism > Computational Materials Science
Molecular and Statistical Mechanics > Molecular Dynamics and Monte‐Carlo Methods
Software > Molecular Modeling
Timing of cognitive decline in CLN3 disease
Authors: Kuper Willemijn F. E. , van Alfen Claudia , Rigterink Roeliene H. , Fuchs Sabine A. , van Genderen Maria M. , van Hasselt Peter M. 
Published: February 2018

AbstractBackgroundCLN3 disease is a major cause of childhood neurodegeneration. Onset of visual failure around 6 years of age is thought to precede cognitive deterioration by a few years, but casuistic reports question this paradigm. The aim of our study is to delineate timing of cognitive decline in CLN3 disease.MethodsEarly neurocognitive functioning in CLN3 disease was analyzed using age at onset of visual and cognitive decline and IQ scores from literature‐derived patient descriptions, supplemented with IQ scores and school history from a retrospective referral center cohort. We analyzed protracted and classical CLN3 separately and added a control group of patients diagnosed with juvenile onset macular degeneration (early onset Stargardt disease) to control for possible effects of rapid vision loss on neurocognitive functioning.ResultsOnset of cognitive decline at a mean age of 6.8 years (range 2–13 years, n = 19) paralleled onset of visual deterioration at a mean age of 6.4 years (range 4–9 years, n = 81) as supported by an early decline in IQ scores in classical CLN3 disease. Onset and course of vision loss was similar in patients with protracted CLN3. The decreased IQ levels at diagnosis (mean 68.4, range 57–79, n = 9) in the referral cohort were consistently associated with an aberrant early school history contrasting normal school history and cognition in Stargardt disease patients.ConclusionsCognitive dysfunction is universally present around diagnosis in classical CLN3 disease.
Platform for systems medicine research and diagnostic applications in psychotic disorders—The METSY project
Authors: Frank Elisabeth , Maier Dieter , Pajula Juha , Suvitaival Tommi , Borgan Faith , Butz-Ostendorf Markus , Fischer Alexander , Hietala Jarmo , Howes Oliver , Hyötyläinen Tuulia , Janssen Joost , Laurikainen Heikki , Moreno Carmen , Suvisaari Jaana , Van Gils Mark , Orešič Matej 
Published: February 2018

AbstractPsychotic disorders are associated with metabolic abnormalities including alterations in glucose and lipid metabolism. A major challenge in the treatment of psychosis is to identify patients with vulnerable metabolic profiles who may be at risk of developing cardiometabolic co-morbidities. It is established that both central and peripheral metabolic organs use lipids to control energy balance and regulate peripheral insulin sensitivity. The endocannabinoid system, implicated in the regulation of glucose and lipid metabolism, has been shown to be dysregulated in psychosis. It is currently unclear how these endocannabinoid abnormalities relate to metabolic changes in psychosis. Here we review recent research in the field of metabolic co-morbidities in psychotic disorders as well as the methods to study them and potential links to the endocannabinoid system. We also describe the bioinformatics platforms developed in the EU project METSY for the investigations of the biological etiology in patients at risk of psychosis and in first episode psychosis patients. The METSY project was established with the aim to identify and evaluate multi-modal peripheral and neuroimaging markers that may be able to predict the onset and prognosis of psychiatric and metabolic symptoms in patients at risk of developing psychosis and first episode psychosis patients. Given the intrinsic complexity and widespread role of lipid metabolism, a systems biology approach which combines molecular, structural and functional neuroimaging methods with detailed metabolic characterisation and multi-variate network analysis is essential in order to identify how lipid dysregulation may contribute to psychotic disorders. A decision support system, integrating clinical, neuropsychological and neuroimaging data, was also developed in order to aid clinical decision making in psychosis. Knowledge of common and specific mechanisms may aid the etiopathogenic understanding of psychotic and metabolic disorders, facilitate early disease detection, aid treatment selection and elucidate new targets for pharmacological treatments.
Fecal calprotectin and serum albumin as markers of gastrointestinal graft versus host disease
Authors: Broglie Larisa , Rademaker Alfred , Galvin John , Ray Ayita , Tse William T. , Duerst Reggie , Schneiderman Jennifer , Kletzel Morris , Chaudhury Sonali 
Published: February 2018

Background:
Acute graft versus host disease (aGVHD) affects approximately 30–60% of patients after allogeneic hematopoietic stem cell transplantation (HCT) and our ability to predict who develops this complication and their response to treatment is limited. Fecal calpro-tectin has recently gained popularity as an effective marker of GI inflammation in patients with Inflammatory Bowel Disease (IBD).

Methods:
Fecal calprotectin and albumin were evaluated as prognostic and predictive markers of aGVHD in 60 adult and pediatric HCT patients. Stool samples were sent for calprotectin quantification prior to starting conditioning, at day 14 post-HCT, at day 28 post-HCT, and at onset of aGVHD ± 2 days.

Results:
Fecal calprotectin did not differentiate patients with GI-GVHD and non-GI GVHD and did not vary based on severity. However, in patients with steroid-refractory GI aGVHD, significantly higher fecal calprotectin levels were noted. At onset of lower-GI symptoms, steroid refractory patients (n = 3) had a mean fecal calprotectin level of 449 ug/g (range 116–1111 ug/g) and a mean albumin of 1.93 g/dL (range 1.6–2.3 g/dL) compared with a mean fecal calprotectin of 24 ug/g (range 16–31 ug/g) and a mean albumin of 3.3 g/dL (range 2.3–3.9 g/dL) in steroid responsive patients (n = 9) (fecal calprotectin p = 0.032, albumin p = 0.027).

Conclusion:
Patients with steroid-refractory Gl aGVHD had higher fecal calprotectin levels and lower albumin levels than patients with steroid-responsive disease. We recommend further studies to evaluate non-invasive tests with fecal calprotectin in combination with albumin in predicting steroid refractory disease at onset of symptoms to potentially identify patients that may benefit from upfront escalation in GVHD treatment.