bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translation, reliability and validity of Japanese version the TeamSTEPPS® teamwork perceptions questionnaire
Authors: Unoki Takeshi , Matsuishi Yujiro , Tsujimoto Takahiro , Yotsumoto Ryuichi , Yamada Toru , Komatsu Yuka , Kashiwakura Daisaku , Yamamoto Norimasa 
Published: August 2020

AbstractAimThis study aimed to translate the TeamSTEPPS® Teamwork Perceptions Questionnaire (T‐TPQ) into Japanese and assess its validity and reliability.DesignTranslation of the T‐TPQ and a cross‐sectional survey.MethodsFollowing a forward and back translation of the questionnaire, content validity was assessed by an expert panel using item‐level content validity index. Construct validity was assessed by a confirmatory factor analysis. Further, intraclass correlation coefficient was estimated by test–retest methods.ResultsA total of 587 healthcare professionals responded to the translated T‐TPQ. The item‐level content validity index ranged between 0.8 and 1.0, indicating an acceptable content validity. The multiple fit indices showed an acceptable fitting model. Fifty‐one healthcare professionals participated in the test–retest method. Intraclass correlation coefficients for all dimensions ranged from 0.838 to 0.957, indicating acceptable test–retest reliability. Our findings suggest that the Japanese version of the T‐TPQ has acceptable validity and reliability.
Genome‐Wide Association Study in 3,173 Outbred Rats Identifies Multiple Loci for Body Weight, Adiposity, and Fasting Glucose
Authors: Chitre Apurva S. , Polesskaya Oksana , Holl Katie , Gao Jianjun , Cheng Riyan , Bimschleger Hannah , Garcia Martinez Angel , George Tony , Gileta Alexander F. , Han Wenyan , Horvath Aidan , Hughson Alesa , Ishiwari Keita , King Christopher P. , Lamparelli Alexander , Versaggi Cassandra L. , Martin Connor , St. Pierre Celine L. , Tripi Jordan A. , Wang Tengfei , Chen Hao , Flagel Shelly B. , Meyer Paul , Richards Jerry , Robinson Terry E. , Palmer Abraham A. , Solberg Woods Leah C. 
Published: August 2020

ObjectiveObesity is influenced by genetic and environmental factors. Despite the success of human genome‐wide association studies, the specific genes that confer obesity remain largely unknown. The objective of this study was to use outbred rats to identify the genetic loci underlying obesity and related morphometric and metabolic traits.MethodsThis study measured obesity‐relevant traits, including body weight, body length, BMI, fasting glucose, and retroperitoneal, epididymal, and parametrial fat pad weight in 3,173 male and female adult N/NIH heterogeneous stock (HS) rats across three institutions, providing data for the largest rat genome‐wide association study to date. Genetic loci were identified using a linear mixed model to account for the complex family relationships of the HS and using covariates to account for differences among the three phenotyping centers.ResultsThis study identified 32 independent loci, several of which contained only a single gene (e.g., Epha5, Nrg1, Klhl14) or obvious candidate genes (e.g., Adcy3, Prlhr). There were strong phenotypic and genetic correlations among obesity‐related traits, and there was extensive pleiotropy at individual loci.ConclusionsThis study demonstrates the utility of HS rats for investigating the genetics of obesity‐related traits across institutions and identify several candidate genes for future functional testing.
Six‐Month Follow‐up from a Randomized Controlled Trial of the Weight BIAS Program
Authors: Pearl Rebecca L. , Wadden Thomas A. , Bach Caroline , Tronieri Jena S. , Berkowitz Robert I. 
Published: August 2020

ObjectiveThe aim of this study was to investigate the 6‐month nonintervention follow‐up effects of a cognitive behavioral intervention for weight bias internalization (WBI; i.e., self‐stigma) combined with behavioral weight loss (BWL).MethodsAdults with obesity and elevated WBI were previously randomized to receive BWL alone or in combination with the Weight Bias Internalization and Stigma program (BWL + BIAS). Participants attended weekly group meetings for 12 weeks, followed by two biweekly and two monthly meetings (26 weeks total). Follow‐up assessments were conducted at week 52. Changes on the Weight Bias Internalization Scale and Weight Self‐Stigma Questionnaire at week 52 were the principal outcomes. Other outcomes included changes in eating, coping, and weight.ResultsOf 72 randomized participants, 54 (75%) completed week 52 assessments. Linear mixed models showed improvements across groups, but no significant differences between groups, in week 52 change on the Weight Bias Internalization Scale (P = 0.25) or Weight Self‐Stigma Questionnaire (P = 0.27). BWL + BIAS participants reported significantly greater benefits than BWL participants on measures of eating and affective coping with weight stigma. Percent weight loss at week 52 did not differ significantly between groups (BWL + BIAS = −3.1% [SE 1.0%], BWL = −4.0% [SE 1.0%], P = 0.53).ConclusionsReductions in WBI did not differ between groups at 6‐month follow‐up. Further research is needed to determine the potential benefits of a stigma‐reduction intervention beyond BWL.
Team approach: Management of osteonecrosis in children with acute lymphoblastic leukemia
Authors: Jones Lynne C. , Kaste Sue C. , Karol Seth E. , DeFeo Brian , Kim Harry K.W. , Neel Michael D. , Levin Adam S. 
Published: August 2020

AbstractWith current treatments for acute lymphoblastic leukemia (ALL), the overall prognosis for survival is favorable. Increasing emphasis is placed on recognizing and managing the long‐term consequences of ALL and its treatment, particularly involving osteonecrosis. Early osteonecrosis diagnosis and management may improve outcomes and is best accomplished through coordinated teams that may include hematologic oncologists, radiologists, orthopedic surgeons, physical therapists, and the patient and their family. Magnetic resonance imaging is the “gold standard” for diagnosis of early‐stage and/or multifocal osteonecrosis. Treatments for osteonecrosis in ALL patients are risk stratified and may include observation, corticosteroid or chemotherapy adjustment, and pharmaceutical or surgical approaches.
Use of electronic patient data storage for evaluating and setting the risk category of late effects in childhood cancer survivors
Authors: Rajala Samuli , Järvelä Liisa S. , Huurre Anu , Grönroos Marika , Rautava Päivi , Lähteenmäki Päivi M. 
Published: August 2020

AbstractBackgroundMany of the late effects of cancer treatment in childhood may occur even decades after the treatment, and only a minority of the survivors remain as healthy as their peers. Providing appropriate long‐term care for childhood cancer survivors after transition to primary health care is a challenge. Both survivors and primary care providers need information on potential late effects. The lack of a systematic late effect follow‐up plan may lead to excessive use of health care services or delayed intervention. While manual compilation of individual follow‐up plans is time consuming for experienced clinicians, electronic algorithms may be feasible.ProcedureIn Finland, international guidelines for determining the risk of late effects have been implemented. Nationally, Turku University Hospital was asked with developing an automatized system for calculating the risk of late effects, based on electronic patient records saved in the hospital data lake. An electronic algorithm that uses details from exposure‐based health screening guidelines published by the Children's Oncology Group was created. The results were compared with those manually extracted by an experienced clinician.ResultsSignificant concordance between the manual and algorithm‐based risk classification was found. A total of 355 patients received a classification using the algorithm, and 325 of those matched with the manual categorization, producing a Cohen's coefficient of 0.91 (95% confidence interval 0.88‐0.95).ConclusionAutomated algorithms can be used to categorize childhood cancer survivors efficiently and reliably into late effect risk groups. This further enables automatized compilation of appropriate individual late effect follow‐up plan for all survivors.
Composite sarcoma of bone with focal rhabdomyosarcoma and lymph node metastasis in an adolescent
Authors: Andión Catalán Maitane , Buendía López Susana , Camarena Pavón Natalia , Rubio San Simón Alba , Cañas Maciá Teresa , Azorín Cuadrillero Daniel 
Published: August 2020

AbstractComposite sarcoma of bone is a very rare entity that primarily affects adolescent and young adult patients. It usually combines areas of liposarcoma and osteosarcoma, and up to 60% of cases have metastatic disease at diagnosis. It is a highly aggressive pathology with intrinsic resistance to bone sarcoma conventional treatments. The prognosis is poor, with long‐term survival rates not exceeding 30%. We present the case of an adolescent female diagnosed with an aggressive composite sarcoma of bone with rhabdomyosarcoma foci and loco‐regional lymph node involvement.
Viscoelastic characterization of high‐density polyethylene membranes under the combined effect of the temperature and the gravity for thermoforming applications
Authors: Ben Aoun N. , Erchiqui F. , Mrad H. , Dituba‐Ngoma G. , Godard F. 
Published: August 2020

AbstractNumerical simulation of the heating stage of thermoplastics in thermoforming requires a good knowledge of the behavior of the materials used. To this end, a study is being conducted on the characterization of the viscoelastic behavior of a circular membrane, made of high‐density polyethylene (HDPE), under the combined effect of temperature and the force of gravity. The experimental tests were carried out in a convection oven for five temperatures (100, 110, 120, 130 and 140°C). For the numerical characterization of the viscoelastic behavior, two viscoelastic models were considered: the classic Kelvin‐Voigt model and the new three‐parameter modified Burger's model (Jeffrey model) that we propose. The mechanical parameters of both models were identified using the Levenberg‐Marquardt algorithm. The thermal‐dependency of the viscosity was characterized by two thermal models: the Arrhenius law and the William‐Landel‐Ferry (WLF) equation.
Mechanical, morphological, thermal properties and hydrolytic degradation behavior of polylactic acid/polypropylene carbonate blends prepared by solvent casting
Authors: Haneef Intan Najwa Humaira Mohamed , Buys Yose Fachmi , Shaffiar Norhashimah Mohd , Haris Nurul Assadiqah , Hamid Abdul Malek Abdul , Shaharuddin Sharifah Imihezri Syed 
Published: August 2020

AbstractThe preparation of polylactic acid (PLA) and polypropylene carbonate (PPC) blend films by using the solvent casting method is to improve the properties of pure PLA. The blends' mechanical and thermal properties, morphological as well as hydrolytic degradation behavior are evaluated. The tensile test proved that the increase of PPC from 0 wt% to 75 wt% could improve the elongation of pure PLA when the graph showed a significant increase of the elongation from 10% to 1000%. Scanning Electron Microscopy (SEM) supported the significant increase in elongation of the blends when it shows a definite phase separation in 75/25 PLA/PPC, where 25% of PPC has formed islands in the PLA matrix. Differential scanning calorimetry indicates the partial miscibility of the blends where two peaks of the glass transition temperature moved towards each other when the amount of PPC increases. Fourier transform infrared (FTIR) spectroscopy revealed a possible intermolecular interaction between two polymers, which affects the miscibility of the blends. Finally, the hydrolytic degradation test indicates that the degradation started from the PLA phase and the blends' degradation rate decrease as wt% of PPC increase.
Structural analysis of the N‐acetyltransferase Eis1 from Mycobacterium abscessus reveals the molecular determinants of its incapacity to modify aminoglycosides
Authors: Ung Kien Lam , Kremer Laurent , Blaise Mickaël 
Published: August 2020

AbstractEnhanced intracellular survival (Eis) proteins belonging to the superfamily of the GCN5‐related N‐acetyltransferases play important functions in mycobacterial pathogenesis. In Mycobacterium tuberculosis, Eis enhances the intracellular survival of the bacilli in macrophages by modulating the host immune response and is capable to chemically modify and inactivate aminoglycosides. In nontuberculous mycobacteria (NTM), Eis shares similar functions. However, Mycobacterium abscessus, a multidrug resistant NTM, possesses two functionally distinct Eis homologues, Eis1Mab and Eis2Mab. While Eis2Mab participates in virulence and aminoglycosides resistance, this is not the case for Eis1Mab, whose exact biological function remains to be determined. Herein, we show that overexpression of Eis1Mab in M. abscessus fails to induce resistance to aminoglycosides. To clarify why Eis1Mab is unable to modify this class of antibiotics, we solved its crystal structure bound to its cofactor, acetyl‐CoA. The structure revealed that Eis1Mab has a typical homohexameric Eis‐like organization. The structural analysis supported by biochemical approaches demonstrated that while Eis1Mab can acetylate small substrates, its active site is too narrow to accommodate aminoglycosides. Comparison with other Eis structures showed that an extended loop between strands 9 and 10 is blocking the access of large substrates to the active site and movement of helices 4 and 5 reduces the volume of the substrate‐binding pocket to these compounds in Eis1Mab. Overall, this study underscores the molecular determinants explaining functional differences between Eis1Mab and Eis2Mab, especially those inherent to their capacity to modify aminoglycosides.
New results on stability analysis and extended dissipative conditions for uncertain memristive neural networks with two additive time‐varying delay components and reaction‐diffusion terms
Authors: Wu Tao , Cao Jinde , Xiong Lianglin , Xie Xueqin 
Published: August 2020

SummaryThis article deals with the problems of exponential stability and extended dissipative analysis for a class of uncertain memristive neural networks (MNNs) with additive time‐varying delays and reaction‐diffusion terms. On the basis of generalized Lyapunov functional approach, Hardy‐Poincarè inequality, Jensen's inequality, as well as some other inequality techniques, it is shown that the issues of exponential stability and extended dissipativity for the uncertain reaction‐diffusion MNNs are solvable if a set of linear matrix inequalities (LMIs) proposed are feasible. As a special case, the conditions on exponential stability and extended dissipativity for the uncertain MNNs with additive time‐varying delays are also obtained and given in terms of nonlinear matrix inequalities (NMIs). The obtained NMIs can be transformed as general LMIs via using a new quadratic convex combination skill. Moreover, the developed sufficient conditions for the uncertain delayed MNNs with and without reaction‐diffusion terms can be easily checked by Matlab LMI control toolbox, and three numerical examples with simulation are provided to show the effectiveness and applicability of the theoretical results.
Semi‐active control of air suspension with auxiliary chamber subject to parameter uncertainties and time‐delay
Authors: Zhang Zhiyong , Wang Jianbo , Wu Wenguang , Huang Caixia 
Published: August 2020

AbstractSuspension systems are critical to the ride comfort and handling stability of vehicles, but traditional passive suspensions fail to achieve optimal performance in the two aspects. Semi‐active suspension controller changes the suspension stiffness or damping to improve the ride comfort and handling stability, which has the potential advantages of low energy consumption and high reliability. In this paper, the model of an air spring with an auxiliary chamber and a variable throttle orifice is proposed and the semi‐active control strategy of air suspension is carried out. The parameters of the air spring with auxiliary chamber are optimized to improve the performance when the control system fails and to increase the basic performance for semi‐active control. Based on the linear matrix inequality approach to robust H∞ control, the semi‐active control strategy of the air suspension is studied, in which parameter uncertainties and time delay are considered to improve control robustness. An inverse model of the air spring is then established to calculate the area of the variable throttle orifice, by which the desired control force is tracked accurately. Finally, the effectiveness of the semi‐active control system of the air suspension is verified by numerical simulation. Comparing with the passive suspension, not only under nominal parameters, but also with parameter uncertainties, time delay, and both parameter uncertainties and time delay, the semi‐active control system proposed in this paper has good control performance as well as is strong robustness to parameter uncertainties and time delay.
Predicting metabolic pathways of plant enzymes without using sequence similarity: Models from machine learning
Authors: de Oliveira Almeida Rodrigo , Valente Guilherme Targino 
Published: August 2020

AbstractMost of the bioinformatics tools for enzyme annotation focus on enzymatic function assignments. Sequence similarity to well‐characterized enzymes is often used for functional annotation and to assign metabolic pathways. However, these approaches are not feasible for all sequences leading to inaccurate annotations or lack of metabolic pathway information. Here we present the mApLe (metabolic pathway predictor of plant enzymes), a high‐performance machine learning‐based tool with models to label the metabolic pathway of enzymes rather than specifying enzymes’ reactions. The mApLe uses molecular descriptors of the enzyme sequences to perform predictions without considering sequence similarities with reference sequences. Hence, mApLe can classify a diversity of enzymes, even the ones without any homolog or with incomplete EC numbers. This tool can be used to improve the quality of genomic annotation of plants or to narrow down the number of candidate genes for metabolic engineering researches. The mApLe tool is available online, and the GUI can be locally installed.
Serological evidence of West Nile virus infection among birds and horses in some geographical locations of Iran
Authors: Bakhshi Hasan , Beck Cécile , Lecollinet Sylvie , Monier Maëlle , Mousson Laurence , Zakeri Sedigheh , Raz Abbasali , Arzamani Kourosh , Nourani Leila , Dinparast‐Djadid Navid , Failloux Anna‐Bella 
Published: August 2020

AbstractRecent expansion of arboviruses such as West Nile (WNV), Usutu (USUV), and tick‐borne encephalitis (TBEV) over their natural range of distribution needs strengthening their surveillance. As common viral vertebrate hosts, birds and horses deserve special attention with routine serological surveillance. Here, we estimated the seroprevalence of WNV, USUV and TBEV in 160 migrating/resident birds and 60 horses sampled in Mazandaran, Golestan, North Khorasan, Kordestan provinces and Golestan province of Iran respectively. ELISA results showed that of 220 collected samples, 32 samples (14.54%), including 22 birds and 10 horses, were positive. Microsphere immunoassay results showed that 16.7% (10/60) of horse blood samples collected in Golestan province were seropositive against WNV (7; 11.7%), Flavivirus (2; 3.3%) and seropositive for USUV or WNV (1; 1.7%). Furthermore, micro virus neutralization tests revealed that four of seven ELISA‐positive bird blood samples were seropositive against WNV: two Egyptian vultures, and one long‐legged buzzard collected in Golestan province as well as a golden eagle collected in North Khorasan province. No evidence of seropositivity with TBEV was observed in collected samples. We showed that WNV, responsible for neuroinvasive infection in vertebrates, is circulating among birds and horses in Iran, recommending a sustained surveillance of viral infections in animals, and anticipating future infections in humans.
Contaminated aquatic sediments
Authors: Jaglal Kendrick 
Published: August 2020

AbstractThe remediation of contaminated aquatic sediments requires a range of expertise from assessment (investigation, risk evaluations, modeling, and remedy selection) to design and construction. Research in 2019 has added to knowledge on optimizing the use of passive samplers for assessing chemical concentrations in sediment porewater. The porewater and black carbon appear to be better predictors of contaminant bioaccumulation than total organic carbon alone. This has led to better characterization of potential risk at sediment sites. Tools to identify and model sources of chemicals have been developed and used particularly for some metals, polynuclear aromatic hydrocarbons and polychlorinated biphenyls. There is great emphasis on beneficially using dredged sediment, treating it as a resource rather than a waste. Amendments used in sediment caps continue to be refined including the use of activated carbon within the caps and by itself. A technique involving 16S rRNA has been established as a means of identifying microbiological composition that naturally degrade contaminants. © 2020 Water Environment FederationPractitioner points

Sediment capping technology continues to advance

Sampling and testing methods continue to be refined

Natural processes such as biodegradation are being better understood

Beneficial use of dredged sediment continue to be emphasized
KOTO vs. NA62 dark scalar searches
Authors: Gori Stefania , Perez Gilad , Tobioka Kohsaku 
Published: August 2020

Abstract
The two kaon factories, KOTO and NA62, are at the cutting edge of the intensity frontier, with an unprecedented numbers of long lived and charged Kaons, ∼ 1013, being measured and analyzed. These experiments have currently a unique opportunity to search for dark sectors. In this paper, we demonstrate that searches done at KOTO and NA62 are complementary, both probing uncharted territories. We consider two qualitatively different physics cases. In the first, we analyze models of axion-like-particles (ALP) which couple to gluons or electroweak gauge bosons. In the second, we introduce a model based on an approximate strange flavor symmetry that leads to a strong violation of the Grossman-Nir bound. For the first scenario, we design a new search strategy for the KOTO experiment, KL→ π0a → 4γ. Its expected sensitivity on the branching ratio is at the level of 10−9. This demonstrates the great potential of KOTO as a discovery machine. In addition, we revisit other bounds on ALPs from Kaon factories, highlighting the main sources of theoretical uncertainty, and collider experiments, and show new projections. For the second scenario, we show that the model may be compatible with the preliminary analysis of the KOTO-data that shows a hint for New Physics.
A pure spinor twistor description of the D = 10 superparticle
Authors: Sepúlveda Diego García , Guillen Max 
Published: August 2020

Abstract
We present a novel twistor formulation of the ten-dimensional massless super-particle. This formulation is based on the introduction of pure spinor variables through a field redefinition of another model for the superparticle, and in the new description we find that the super-Pauli-Lubanski three-form naturally arises as a constraint. Quantization is studied in detail for both models and they are shown to correctly describe the D = 10 super-Yang-Mills states.