bluuebunny/crossref_metadata_2025 huggingface dataset:
The consumption of ultra-processed foods according to eating out occasions
Authors: Andrade Giovanna Calixto , Gombi-Vaca Maria Fernanda , Louzada Maria Laura da Costa , Azeredo Catarina Machado , Levy Renata Bertazzi
Published: September 2019

Objective:

To describe out-of-home consumption according to the purpose and extent of industrial processing and also evaluate the association between eating out and ultra-processed food consumption, taking account of variance within and between individuals.

Design:

Cross-sectional study.

Setting:

Brazil.

Participants:

The study was based on the Individual Food Intake of the Brazilian Household Budget Survey, carried out with 34 003 individuals aged 10 years or more, between May 2008 and May 2009. All food items were classified according to food processing level. The habit of eating out was evaluated through the frequency of days each individual reported eating out, described according to sociodemographic characteristics. The contribution of food energy per group and subgroup was estimated according to the frequency of eating out. In addition, multilevel modelling was employed to evaluate the association between eating out and ultra-processed food consumption.

Results:

In Brazil, culinary preparations accounted for most of the energy eaten out. However, it was possible to observe a higher contribution of ultra-processed foods, especially sugary beverages and ready-to-eat meals, as the frequency of out-of-home consumption increased. Compared with food consumption exclusively at home, eating out increased the consumption of ultra-processed foods by 0·41 percentage points within and between individuals.

Conclusion:

In Brazil, the same individual and different individuals had greater consumption of ultra-processed foods when they ate out of home compared with when they ate at home. So, it is necessary to implement public policies which discourage the out-of-home consumption of ultra-processed foods and that provide affordable and accessible less-processed food options.
The Adaptability Paradox: Constitutional Resilience and Principles of Good Government in Twenty-First-Century America
Authors: Skowronek Stephen , Orren Karen
Published: September 2019

Faith in the resilience of the US Constitution prompts many observers to discount evidence of a deepening crisis of governance in our day. A long history of success in navigating tough times and adapting to new circumstances instills confidence that the fundamentals of the system are sound and the institutions self-correcting. The aim of this article is to push assessments of this sort beyond the usual nod to great crises surmounted in the past and to identify institutional adaptation as a developmental problem worthy of study in its own right. To that end, we call attention to dynamics of adjustment that have played out over the long haul. Our historical-structural approach points to the “bounded resilience” of previous adaptations and to dynamics of reordering conditioned on the operation of other governance outside the Constitution’s formal written arrangements. We look to the successive overthrow of these other incongruous elements and to the serial incorporation of previously excluded groups to posit increasing stress on constitutional forms and greater reliance on principles for support of new institutional arrangements. Following these developments into the present, we find principles losing traction, now seemingly unable to foster new rules in support of agreeable governing arrangements. Our analysis generates a set of propositions about why the difficulties of our day might be different from those of the past in ways that bear directly on resilience and adaptability going forward.
Incremental, transitional and transformational adaptation to climate change in resource extraction regions
Authors: Loginova Julia , Batterbury Simon P.J.
Published: September 2019

Non-technical summary

Mining regions are affected by climate change. Supplies of energy and water are required, and operations become hazardous during adverse weather events. Adapting to climate change takes three forms: incrementally improving the resilience of mining operations; transitioning to more inclusive governance through institutional and policy innovations; and more profound transformations that shift the balance of power, including profit-sharing, localized control or cessation of mining entirely. Clarifying adaptation pathways helps to identify priorities and inform policies for a fairer and more sustainable future for mining and the regions where it takes place.
Twin Database of the Secondary School Attached to the Faculty of Education of the University of Tokyo
Authors: Ooki Syuichi
Published: September 2019

This article profiles the historical twin databases of the secondary education school attached to the Faculty of Education at the University of Tokyo. The school was established in 1948. Every year, about 50 pairs of twins of all sex and zygosity combinations, aged 11–12 years, take an examination, and about 10–20 pairs are admitted based on the results. Three datasets exist: one for applicants (11–12 years old), one for junior and senior high school students (12–18 years old) and one for graduates (18–85 years old). Linking the records from these three databases should facilitate several important research projects, for example, life course genetic epidemiologic studies and the verification of the so-called developmental origins of health and disease hypothesis.
The Use of Surveys to Improve the Clinical Psychology Internship Program and Intern Recruitment Process
Authors: Mackey Eleanor R. , Efron Lisa A.
Published: September 2019

Objectives: The clinical psychology internship recruitment process serves an essential function in psychology training. The current study describes the use of surveys distributed to internship applicants, interviewed at a pediatric or child clinical-focused internship program, designed to elicit feedback regarding the interview day and program. Method: Anonymous surveys were sent to all interviewees at a doctoral internship program at a children’s hospital. Surveys were distributed after rank lists were submitted and collected prior to match day. Surveys included quantitative and qualitative feedback on specific aspects of the internship (e.g., rotations) as well as the interview format (e.g., interview logistics). Survey results from 6 years of interviews were reviewed for the current study. Results: Respondents included 213 interviewees (93% female, 76% non-Hispanic White). Results indicated positive views of the internship, with enthusiasm higher for self-reported racial or ethnic minority applicants and those interested in pediatric psychology. Respondents noted that the individual interviews with faculty and meeting with the current interns were the 2 most valuable components of the interview format. Applicants to this program reported most interest in having rotations of perceived value, specifically pediatric psychology and consult−liaison rotations. Concerns primarily centered on the relative cost of living to stipend ratio. Conclusions: Use of surveys following internship interviews allows sites a deeper understanding of the needs and interest of trainees served by the program. This enables sites to adjust their interview format and internship program to ensure that they are meeting the needs of trainees.

Implications for Impact Statement

The current study found that assessing the impressions of applicants for a pediatric and child clinical internship was valuable for refining the internship program and interview format. Specifically, pediatric psychology applicants appear to be interested in general, as well as pediatric-specific, training opportunities and particularly value flexibility to tailor an internship program to individual interests. Pediatric internships may benefit from instituting annual exit surveys to interviewees to match the needs and interest of trainees.
Massively parallel RNA device engineering in mammalian cells with RNA-Seq
Authors: Xiang Joy S. , Kaplan Matias , Dykstra Peter , Hinks Michaela , McKeague Maureen , Smolke Christina D.
Published: September 2019

Synthetic RNA-based genetic devices dynamically control a wide range of gene-regulatory processes across diverse cell types. However, the limited throughput of quantitative assays in mammalian cells has hindered fast iteration and interrogation of sequence space needed to identify new RNA devices. Here we report developing a quantitative, rapid and high-throughput mammalian cell-based RNA-Seq assay to efficiently engineer RNA devices. We identify new ribozyme-based RNA devices that respond to theophylline, hypoxanthine, cyclic-di-GMP, and folinic acid from libraries of ~22,700 sequences in total. The small molecule responsive devices exhibit low basal expression and high activation ratios, significantly expanding our toolset of highly functional ribozyme switches. The large datasets obtained further provide conserved sequence and structure motifs that may be used for rationally guided design. The RNA-Seq approach offers a generally applicable strategy for developing broad classes of RNA devices, thereby advancing the engineering of genetic devices for mammalian systems.
PIK3CA and MAP3K1 alterations imply luminal A status and are associated with clinical benefit from pan-PI3K inhibitor buparlisib and letrozole in ER+ metastatic breast cancer
Authors: Nixon Mellissa J. , Formisano Luigi , Mayer Ingrid A. , Estrada M. Valeria , González-Ericsson Paula I. , Isakoff Steven J. , Forero-Torres Andrés , Won Helen , Sanders Melinda E. , Solit David B. , Berger Michael F. , Cantley Lewis C. , Winer Eric P. , Arteaga Carlos L. , Balko Justin M.
Published: September 2019

Clinical trials have demonstrated the efficacy of combining phosphoinositide 3-kinase (PI3K) inhibitors with endocrine therapies in hormone therapy-refractory breast cancer. However, biomarkers of PI3K pathway dependence in ER+ breast cancer have not been fully established. Hotspot mutations in the alpha isoform of PI3K (PIK3CA) are frequent in ER+ disease and may identify tumors that respond to PI3K inhibitors. It is unclear whether PIK3CA mutations are the only biomarker to suggest pathway dependence and response to therapy. We performed correlative molecular characterization of primary and metastatic tissue from patients enrolled in a phase Ib study combining buparlisib (NVP-BKM-120), a pan-PI3K inhibitor, with letrozole in ER+, human epidermal growth factor-2 (HER2)-negative, metastatic breast cancer. Activating mutations in PIK3CA and inactivating MAP3K1 mutations marked tumors from patients with clinical benefit (≥6 months of stable disease). Patients harboring mutations in both genes exhibited the greatest likelihood of clinical benefit. In ER+ breast cancer cell lines, siRNA-mediated knockdown of MAP3K1 did not affect the response to buparlisib. In a subset of patients treated with buparlisib or the PI3Kα inhibitor alpelisib each with letrozole where PAM50 analysis was performed, nearly all tumors from patients with clinical benefit had a luminal A subtype. Mutations in MAP3K1 in ER+ breast cancer may be associated with clinical benefit from combined inhibition of PI3K and ER, but we could not ascribe direct biological function therein, suggesting they may be a surrogate for luminal A status. We posit that luminal A tumors may be a target population for this therapeutic combination.
A Variable Neighbourhood Descent Heuristic for Conformational Search Using a Quantum Annealer
Authors: Marchand D. J. J. , Noori M. , Roberts A. , Rosenberg G. , Woods B. , Yildiz U. , Coons M. , Devore D. , Margl P.
Published: September 2019

Discovering the low-energy conformations of a molecule is of great interest to computational chemists, with applications in in silico materials design and drug discovery. In this paper, we propose a variable neighbourhood search heuristic for the conformational search problem. Using the structure of a molecule, neighbourhoods are chosen to allow for the efficient use of a binary quadratic optimizer for conformational search. The method is flexible with respect to the choice of molecular force field and the number of discretization levels in the search space, and can be further generalized to take advantage of higher-order binary polynomial optimizers. It is well-suited for the use of devices such as quantum annealers. After carefully defining neighbourhoods, the method easily adapts to the size and topology of these devices, allowing for seamless scaling alongside their future improvements.
Printed, Flexible Lactate Sensors: Design Considerations Before Performing On-Body Measurements
Authors: Payne Margaret E. , Zamarayeva Alla , Pister Veronika I. , Yamamoto Natasha A. D. , Arias Ana Claudia
Published: September 2019

This work reports the process of sensor development, optimization, and characterization before the transition to on-body measurements can be made. Sensors using lactate oxidase as a sensing mechanism and tetrathiafulvalene as a mediator were optimized for sporting applications. Optimized sensors show linear range up to 24 mM lactate and sensitivity of 4.8 μA/mM which normalizes to 68 μA*cm−2/mM when accounting for surface area of the sensor. The optimized sensors were characterized 3 different ways: using commercially available reference and counter electrodes, using printed reference and counter electrodes, and using a printed reference electrode with no counter electrode. Sensors intended for measuring sweat must be selective in the presence of sweat constituents. Thus, in addition to traditional characterization in pH 7.0 buffer, we characterized sensor performance in solutions intended to approximate sweat. Sensor performance in pH 7.0 buffer solution was not reflective of sensor performance in artificial sweat, indicating that further characterization is necessary between sensor measurement in pH 7.0 buffer and on-body measurements. Furthermore, we performed enzyme activity measurements and sensor measurements concurrently in five different salts individually, finding that while NH4Cl and MgCl2 do not affect enzyme activity or sensor performance in physiologically relevant ranges of salt concentration, NaCl concentration or KCl concentration decreases enzyme activity and sensor current. On the other hand, CaCl2 induced a nonlinear change in sensor performance and enzyme activity with increasing salt concentration.
Organically interconnected graphene flakes: A flexible 3-D material with tunable electronic bandgap
Authors: Klontzas E. , Tylianakis E. , Varshney V. , Roy A. K. , Froudakis G. E.
Published: September 2019

The structural and electronic properties of molecularly pillared graphene sheets were explored by performing Density Functional based Tight Binding calculations. Several different architectures were generated by varying the density of the pillars, the chemical composition of the organic molecule acting as a pillar and the pillar distribution. Our results show that by changing the pillars density and distribution we can tune the band gap transforming graphene from metallic to semiconducting in a continuous way. In addition, the chemical composition of the pillars affects the band gap in a lesser extent by introducing additional states in the valence or the conduction band and can act as a fine band gap tuning. These unique electronic properties controlled by design, makes Mollecular Pillared Graphene an excellent material for flexible electronics.
Enrichment of Eucalyptus oil nanoemulsion by micellar nanotechnology: transdermal analgesic activity using hot plate test in rats’ assay
Authors: Aziz Zarith Asyikin Abdul , Nasir Hasmida Mohd , Ahmad Akil , Setapar Siti Hamidah Mohd , Ahmad Hafandi , Noor Mohd Hezmee Mohd , Rafatullah Mohd , Khatoon Asma , Kausar Mohd Adnan , Ahmad Irfan , Khan Shahida , Al-Shaeri Majed , Ashraf Ghulam Md
Published: September 2019

Eucalyptus globulus is an aromatic medicinal plant which known for its 1,8-cineole main pharmacological constituent exhibits as natural analgesic agent. Eucalyptus globulus-loaded micellar nanoparticle was developed via spontaneous emulsification technique and further evaluation for its analgesic efficacy study, in vivo analgesic activity assay in rats. The nanoemulsion system containing Eucalyptus-micelles was optimized at different surfactant types (Tween 40, 60 and 80) and concentrations (3.0, 6.0, 9.0, 12.0, 15.0, and 18.0 wt. %). These formulations were characterized by thermodynamically stability, viscosity, micelles particle size, pH, and morphology structure. The spontaneous emulsification technique offered a greener micelles formation in nanoemulsion system by slowly titrated of organic phase, containing Eucalyptus globulus (active compound), grape seed oil (carrier oil) and hydrophilic surfactant into aqueous phase, and continuously stirred for 30 min to form a homogeneity solution. The characterizations evaluation revealed an optimized formulation with Tween 40 surfactant type at 9.0 wt. % of surfactant concentration promoted the most thermodynamic stability, smaller micelles particle size (d = 17.13 ± 0.035 nm) formed with spherical shape morphological structure, and suitable in viscosity (≈2.3 cP) and pH value (6.57) for transdermal purpose. The in vivo analgesic activity assay of optimized emulsion showed that the transdermal administration of micellar nanoparticle of Eucalyptus globulus on fore and hind limb of rats, possessed the central and peripheral analgesic effects by prolonged the rats pain responses towards the heat stimulus after being put on top of hot plate (55 °C), with longest time responses, 40.75 s at 60 min after treatment administration. Thus, this study demonstrated that micellar nanoparticle of Eucalyptus globulus formed in nanoemulsion system could be promising as an efficient transdermal nanocarrier for the analgesic therapy alternative.
Early exercise induces long-lasting morphological changes in cortical and hippocampal neurons throughout of a sedentary period of rats
Authors: Serra Fernando Tadeu , Carvalho Andrea Dominguez , Araujo Bruno Henrique Silva , Torres Laila Brito , Cardoso Fabrizio dos Santos , Henrique Jéssica Salles , Placencia Eduardo Varejão Díaz , Lent Roberto , Gomez-Pinilla Fernando , Arida Ricardo Mario , Gomes da Silva Sérgio
Published: September 2019

Life experiences at early ages, such as physical activity in childhood and adolescence, can result in long-lasting brain effects able to reduce future risk of brain disorders and to enhance lifelong brain functions. However, how early physical exercise promotes these effects remains unclear. A possible hypothesis is that physical exercise increases the expression of neurotrophic factors and stimulates neuronal growth, resulting in a neural reserve to be used at later ages. Basing our study on this hypothesis, we evaluated the absolute number and morphology of neuronal cells, as well as the expression of growth, proliferation and survival proteins (BDNF, Akt, mTOR, p70S6K, ERK and CREB) in the cerebral cortex and hippocampal formation throughout of a sedentary period of rats who were physically active during youth. To do this, male Wistar rats were submitted to an aerobic exercise protocol from the 21st to the 60th postnatal days (P21–P60), and evaluated at 0 (P60), 30 (P90) and 60 (P120) days after the last exercise session. Results showed that juvenile exercise increased, and maintained elevated, the number of cortical and hippocampal neuronal cells and dendritic arborization, when evaluated at the above post-exercise ages. Hippocampal BDNF levels and cortical mTOR expression were found to be increased at P60, but were restored to control levels at P90 and P120. Overall, these findings indicate that, despite the short-term effects on growth and survival proteins, early exercise induces long-lasting morphological changes in cortical and hippocampal neurons even during a sedentary period of rats.
Model-based clustering for identifying disease-associated SNPs in case-control genome-wide association studies
Authors: Xu Yan , Xing Li , Su Jessica , Zhang Xuekui , Qiu Weiliang
Published: September 2019

Genome-wide association studies (GWASs) aim to detect genetic risk factors for complex human diseases by identifying disease-associated single-nucleotide polymorphisms (SNPs). The traditional SNP-wise approach along with multiple testing adjustment is over-conservative and lack of power in many GWASs. In this article, we proposed a model-based clustering method that transforms the challenging high-dimension-small-sample-size problem to low-dimension-large-sample-size problem and borrows information across SNPs by grouping SNPs into three clusters. We pre-specify the patterns of clusters by minor allele frequencies of SNPs between cases and controls, and enforce the patterns with prior distributions. In the simulation studies our proposed novel model outperforms traditional SNP-wise approach by showing better controls of false discovery rate (FDR) and higher sensitivity. We re-analyzed two real studies to identifying SNPs associated with severe bortezomib-induced peripheral neuropathy (BiPN) in patients with multiple myeloma (MM). The original analysis in the literature failed to identify SNPs after FDR adjustment. Our proposed method not only detected the reported SNPs after FDR adjustment but also discovered a novel BiPN-associated SNP rs4351714 that has been reported to be related to MM in another study.
Continuous photoproduction of hydrocarbon drop-in fuel by microbial cell factories
Authors: Moulin Solène , Légeret Bertrand , Blangy Stéphanie , Sorigué Damien , Burlacot Adrien , Auroy Pascaline , Li-Beisson Yonghua , Peltier Gilles , Beisson Fred
Published: September 2019

Use of microbes to produce liquid transportation fuels is not yet economically viable. A key point to reduce production costs is the design a cell factory that combines the continuous production of drop-in fuel molecules with the ability to recover products from the cell culture at low cost. Medium-chain hydrocarbons seem ideal targets because they can be produced from abundant fatty acids and, due to their volatility, can be easily collected in gas phase. However, pathways used to produce hydrocarbons from fatty acids require two steps, low efficient enzymes and/or complex electron donors. Recently, a new hydrocarbon-forming route involving a single enzyme called fatty acid photodecarboxylase (FAP) was discovered in microalgae. Here, we show that in illuminated E. coli cultures coexpression of FAP and a medium-chain fatty acid thioesterase results in continuous release of volatile hydrocarbons. Maximum hydrocarbon productivity was reached under low/medium light while higher irradiance resulted in decreased amounts of FAP. It was also found that the production rate of hydrocarbons was constant for at least 5 days and that 30% of total hydrocarbons could be collected in the gas phase of the culture. This work thus demonstrates that the photochemistry of the FAP can be harnessed to design a simple cell factory that continuously produces hydrocarbons easy to recover and in pure form.
Spatially resolved investigation of the defect states in methylammonium lead iodide perovskite bicrystals
Authors: Sirotinskaya Svetlana , Fettkenhauer Christian , Okada Daichi , Yamamoto Yohei , Lupascu Doru C. , Schmechel Roland , Benson Niels
Published: September 2019

Introducing a modal system approach for the analytical perovskite thin-film trap physics evaluation. Our study confirms existing models for trap formation in MAPI, substantiating different defect states in the grain boundary and bulk regions.
Tuning mixed-phase Nb-doped titania films for high-performance photocatalysts with enhanced whole-spectrum light absorption
Authors: Min Yuxin , Yang Xiaoyang , Wang Dawei , Yang Kai , Zheng Shisheng , Li Shunning , Chen Haibiao , Liang Jun , Pan Feng
Published: September 2019

Heterojunction of rutile and anatase phase enhanced photocatalytic performance of mixed-phase Nb doped titania films to degrade pollutants under visible (vis) light.
Risk-based water quality thresholds for coliphages in surface waters: effect of temperature and contamination aging
Authors: Boehm Alexandria B.
Published: September 2019

A quantitative microbial risk assessment framework is used to derive risk-based surface water quality thresholds for coliphages.
Interactions between polymers and liquids during initiated chemical vapor deposition onto liquid substrates
Authors: De Luna Mark M. , Karandikar Prathamesh , Gupta Malancha
Published: September 2019

Deposition of materials onto liquid substrates provides complexity due to surface tension, viscosity, and solubility effects.
Self-template synthesis of defect-rich NiO nanotubes as efficient electrocatalysts for methanol oxidation reaction
Authors: Wang Tian-Jiao , Huang Hao , Wu Xin-Ru , Yao Hong-Chang , Li Fu-Min , Chen Pei , Jin Pu-Jun , Deng Zi-Wei , Chen Yu
Published: September 2019

Gram-grade defect-rich NiO nanotubes were synthesized by a facile self-template method, which exhibited an outstanding electrocatalytic activity (85.9 A g−1) and stability for the methanol oxidation reaction.
Arc-discharge synthesis of nitrogen-doped C embedded TiCN nanocubes with tunable dielectric/magnetic properties for electromagnetic absorbing applications
Authors: Zhou Yuanliang , Wang Ning , Qu Xinghao , Huang Feirong , Duan Yuping , Zhang Xuefeng , Dong Xinglong , Zhang Zhidong
Published: September 2019

For the first time, we report nitrogen-doped C embedded TiCN nanocubes synthesized by an arc discharge method, presenting an excellent electromagnetic wave absorption capability.
Light-controlled nanoswitches: from fabrication to photoelectric switching
Authors: Wang Yunxia , Tang Jibo , Zhang Shunping , Xu Hongxing , Ding Tao
Published: September 2019

Plasmon-assisted optical growth significantly improves the controllability of polymerization on the nanoscale, which greatly facilitates the fabrication of nanodevices and their integration.
A 3D-honeycomb-like catalyst: a nitrogen-doped carbon material with cobalt and manganese-oxide for C–H bond oxidation
Authors: Wang Kaizhi , Zhao Shiling , Ma Lei , Yang Ming , Qin Jiaheng , Huang Xiaokang , Gong Li , Xiong Yucong , Li Rong
Published: September 2019

A three dimensional mesoporous honeycomb-like material that is multifunctional and easily recoverable, and shows efficient performance is described.
The fecal metabolome is associated with gestational diabetes mellitus
Authors: Liang Shufen , Hou Ziqi , Li Xue , Wang Juan , Cai Lijun , Zhang Runping , Li Jianguo
Published: September 2019

Fecal metabolome could separate women with GDM from the non-diabetic control.
Barrier thickness dependence of MgxZn1−xO/ZnO quantum well (QW) on the performance of a p-NiO/QW/n-ZnO photodiode
Authors: Hwang Jun Dar , Jiang Jhong Yung
Published: September 2019

An MgxZn1−xO/ZnO quantum well (QW) structure, with various barrier (MgxZn1−xO layer) thicknesses, was inserted into p-NiO/n-ZnO heterojunction photodiodes (HPDs) by using a radio-frequency magnetron sputtering system.
Highly selective synthesis of d-amino acids from readily available l-amino acids by a one-pot biocatalytic stereoinversion cascade
Authors: Zhang Danping , Jing Xiaoran , Zhang Wenli , Nie Yao , Xu Yan
Published: September 2019

An efficient one-pot biocatalytic cascade was developed for synthesis of d-amino acids from readily available l-amino acids via stereoinversion.
New synthesis of tetraoxaspirododecane-diamines and tetraoxazaspirobicycloalkanes
Authors: Makhmudiyarova Nataliya N. , Shangaraev Kamil R. , Dzhemileva Lilya U. , Tyumkina Tatyana V. , Mescheryakova Ekaterina S. , D'yakonov Vladimir A. , Ibragimov Askhat G. , Dzhemilev Usein M.
Published: September 2019

An efficient method for the synthesis of new spirotetraoxadodecanediamines and tetraoxazaspirobicycloalkanes has been developed by reactions of primary arylamines with gem-dihydroperoxides and α,ω-dialdehydes catalyzed by lanthanide catalysts.
Cost-effective porous-organic-polymer-based electrolyte membranes with superprotonic conductivity and low activation energy
Authors: Kang Dong Won , Lee Kyung Ah , Kang Minjung , Kim Jong Min , Moon Minkyu , Choe Jong Hyeak , Kim Hyojin , Kim Dae Won , Kim Jin Young , Hong Chang Seop
Published: September 2019

A sulfuric acid-impregnated porous organic polymer exhibited superprotonic conductivity of 2.35 × 10−1 S cm−1 and its mixed matrix membrane showed activation energy of 0.039 eV.
Establishing the criteria and strategies to achieve high power during discharge of a Li–air battery
Authors: Dutta Arghya , Ito Kimihiko , Kubo Yoshimi
Published: September 2019

To achieve high power discharge in a Li–air battery, help it breathe more oxygen.
Bioinspired large-scale production of multidimensional high-rate anodes for both liquid & solid-state lithium ion batteries
Authors: Shen Shenghui , Zhang Shengzhao , Deng Shengjue , Pan Guoxiang , Wang Yadong , Liu Qi , Wang Xiuli , Xia Xinhui , Tu Jiangping
Published: September 2019

Herein, we firstly proposed multidimensional titanium niobium oxides (1D/2D/3D-TNO) via a versatile bioinspired template method, which employed as high-performance anodes for both liquid and solid state lithium ion batteries
A shear-thinning adhesive hydrogel reinforced by photo-initiated crosslinking as a fit-to-shape tissue sealant
Authors: Bian Shaoquan , Zheng Zhiqiang , Liu Yuan , Ruan Changshun , Pan Haobo , Zhao Xiaoli
Published: September 2019

A fit-to-shape sealant enhanced by photo-initiated crosslinking treated a wound with a nonplanar complex contour rapidly and effectively.
Sharp pH-responsive mannose prodrug polypeptide nanoparticles encapsulating a photosensitizer for enhanced near infrared imaging-guided photodynamic therapy
Authors: Yuan Pan , Ruan Zheng , Li Tuanwei , Tian Youliang , Cheng Quan , Yan Lifeng
Published: September 2019

Mannose conjugated polypeptide nanoparticles as a pH-responsive prodrug for enhanced near infrared imaging-guided photodynamic therapy.
A novel approach to a fully inkjet printed SnO2-based gas sensor on a flexible foil
Authors: Kassem Omar , Saadaoui Mohamed , Rieu Mathilde , Viricelle Jean-Paul
Published: September 2019

In recent years, printed and flexible gas sensors have quickly emerged as an innovative area of great interest because of their lightness and low cost.
High-performance upconversion luminescent waveguide using a rare-earth doped microtube with beveled ends
Authors: Huang Shaozuo , Chen Huan , He Tao , Zhang Changjian , Zhang Chengyun , Fu Zhengkun , Zhang Zhenglong , Zheng Hairong
Published: September 2019

Upconversion luminescence-based waveguides can achieve optical signal transmission and visible light emission with near-infrared light excitation and their quality is highly dependent on the coupling efficiency between the light and waveguide.
Highly stable CdTe quantum dots hosted in gypsum via a flocculation–precipitation method
Authors: Chang Yajing , Cheng Xiaopeng , Zhang Jinhua , Yu Dabin
Published: September 2019

Aqueous CdTe QDs are hosted in robust gypsum via a flocculation–precipitation method to remarkably enhance their stability.
Nanoporous photonic crystals with tailored surface chemistry for ionic copper sensing
Authors: Eckstein Chris , Law Cheryl Suwen , Lim Siew Yee , Kaur Simarpreet , Kumeria Tushar , Ferré-Borrull Josep , Abell Andrew D. , Marsal Lluís F. , Santos Abel
Published: September 2019

We present a study on optical and surface chemistry engineering of nanoporous photonic crystals as sensing platforms for detection of ionic copper.
The influence of intermolecular interactions and molecular packings on mechanochromism and mechanoluminescence – a tetraphenylethylene derivative case
Authors: Huang Guangxi , Jiang Yuqing , Wang Jianguo , Li Zhen , Li Bing Shi , Tang Ben Zhong
Published: September 2019

Compact packing and intact three-dimensional hydrogen-bonded networks in single crystals are favorable for ML properties.
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning
Authors: Yan Binbin , Li Yong , Dai Pei , Xing Muzeng
Published: September 2019

The morphing aircraft can change different wing shapes or geometries to achieve the optimal flight performance according to various mission scenarios. In this paper, DATCOM is used to calculate aerodynamic parameters based on Firebee UAV morphing aircraft with different wing configurations and analyze aerodynamic characteristics. A novel adaptive wing morphing strategy for morphing aircraft based on reinforcement learning method is proposed. This method can highly meet the demand of keeping optimal performance in multiple flight conditions, and the adaptive wing morphing strategy, three-loop normal load altitude controller and sliding mode velocity controller can together make sure stability of morphing aircraft during morphing process with good tracking performance.
Relative Motion Dynamics Modeling and Control of DFP Vibration Isolation Spacecraft
Authors: Tang Yongxing , Zhu Zhanxia
Published: September 2019

In order to better meet the future high precision task requirements, the DFP(Disturbance-Free Payload) spacecraft composed of non-contact PM(Payload Module)and SM(Support Module)is taken as the object to study the relative motion dynamics modeling and control between the two modules and verify the system vibration isolation performance. Firstly, the force and torque expressions of the two modules are derived by simplifying the configuration and analyzing the stress. In view of that couple effect, the relative motion dynamics equations between two modules of DFP spacecraft with high model accuracy, and simple and uniform format are established with the dual quaternions. Based on this, the PD control law is designed, and the relative motion of PM and SM could meet DFP spacecraft working requirements when the measurability of control quantity and the measurement error of sensors were taken into account. Simulation results verify the advantage of vibration isolation and attitude maneuverability of DFP spacecraft.
Sampling Design Method of Fast Optimal Latin Hypercube
Authors: Ye Pengcheng , Pan Guang , Gao Shan
Published: September 2019

In engineering design optimization, the optimal sampling design method is usually used to solve large-scale and complex system problems. A sampling design (FOLHD) method of fast optimal Latin hypercube is proposed in order to overcome the time-consuming and poor efficiency of the traditional optimal sampling design methods. FOLHD algorithm is based on the inspiration that a near optimal large-scale Latin hypercube design can be established by a small-scale initial sample generated by using Successive Local Enumeration method and Translational Propagation algorithm. Moreover, a sampling resizing strategy is presented to generate samples with arbitrary size and owing good space-filling and projective properties. Comparing with the several existing sampling design methods, FOLHD is much more efficient in terms of the computation efficiency and sampling properties.
PWM Rectifier Fast Response Method for Electric Servo Loading System
Authors: Zhou Qixun , Xu Guichao , Zhang Yufeng , Zhou Yong
Published: September 2019

The electric servo loading system can more fully test the stability and dynamic performance of the motor body and controller, and is widely used in the research and development of flight control systems. The traditional dual PWM converter has hysteresis characteristics. When the load power is abrupt, especially when the load power is suddenly reduced, the DC output voltage of the PWM rectifier will fluctuate. Voltage fluctuations can be suppressed by increasing the capacitance of the DC side capacitors, but an increase in the capacitance capacity causes the adjustment time of the system to become longer and slows down the response speed of the system. By analyzing the fluctuation of DC output voltage caused by sudden load change, a variable feedforward control method for iq load power is proposed, which uses the method of compensating the active current on the grid side to achieve instantaneous active power balance on both sides. The simulation results show that the method reduces the DC capacitor capacity and improves the dynamic response speed of the system.
Multiple BSSs Association Based Spatial Clustering Group Access Protocol for Next Generation WLAN
Authors: Li Yong , Li Bo , Yang Mao , Yan Zhongjiang
Published: September 2019

The next generation Wireless Local Area Network (WLAN) IEEE 802.11be regards Extremely High Throughput (EHT) as its core technology goal, among which multi-band capability and AP cooperation technology are regarded as its key technologies. However, the existing research on Orthogonal Frequency Division Multiple Access (OFDMA) protocol does not consider the multi-band capability and AP collaboration technology of IEEE 802.11be, so the improvement of system performance is limited and does not meet the EHT requirement. Especially when the nodes in overlapping coverage area have a large number of traffic, it is more important to improve the throughput of nodes in overlapping coverage area. In order to improve the throughput of nodes in overlapping coverage area, this paper proposes a spatial clustering group OFDMA protocol associated with multiple Basic Service Sets (BSSs). The protocol allows nodes in overlapping coverage area to be associated with multiple BSSs at the same time by using multi-band capability, that is, multi-association; Using AP collaboration technology allows nodes to perform parallel backoff with channels on multiple BSSs to improve access efficiency. Nodes in the overlapping coverage area are associated with the channels of multiple BSSs for parallel backoff. Node completed backoff and successfully accessed triggers a spatial clustering group (SCG) with close to its spatial location. OFDMA mode is used by SCG to access and transmit, thus increasing the access opportunities of nodes within overlapping coverage, thereby improving the throughput. The simulation results show that using the SCG-OFDMA protocol proposed in this paper associated with two BSSs, its throughput of nodes within overlapping coverage can achieve 353.41% higher than the IEEE 802.11ax protocol and 558.33% higher than the OMAX protocol respectively.
Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method
Authors: Chen Zhe , Xue Zhao , Fang Haiyi , Luo Guangzhao
Published: September 2019

The classical feedback control method for the permanent-magnet synchronous motor cannot fulfill the dynamic requirement and anti-interference requirement at the same time. In this paper, an adaptive inverse control method with disturbance elimination is proposed based on the vector control including speed and current loops. It avoids the system instability and the anti-disturbance performance of the system can be enhanced as well. Firstly, the speed loop adopts the adaptive inverse controller possessing a feed forward control structure, and a normalized least-mean square filtering algorithm accelerates the speed error convergence. The inverse model of the approximately linearized system is obtained by modifying the weighting factor online. Secondly, in order to suppress and eliminate the influence of motor parameter perturbation and external disturbance on the control system, an extended state observer is designed to observe and compensate the disturbance of the system. Thus, the dynamic performance and anti-disturbance performance of the system can be improved simultaneously. Finally, the effectiveness of the proposed method is verified by experiment and simulation.
Small-Signal Model for Dual Active Bridge Series Resonant DC-DC Converters with Variable-Frequency and Phase-Shift Modulation
Authors: Han Weijian , Ma Ruiqing , Liu Qing
Published: September 2019

Variable frequency and phase shift modulation can achieve zero-voltage switching (ZVS) of dual active bridge series resonant DC-DC converters(DABSRCs) over a wide operating range so as to effectively improving system efficiency and reliability. In order to study the dynamics of DABSRCs and provide the basis for the closed-loop compensator design, a continuous-time small-signal model is proposed. The generalized average modelling approach is adopted, in which the DC component of the output voltage and the fundamental component of the inductor current and resonant capacitor voltage are selected as the state variables, precisely describing impacts of the resonance on the system dynamics. On the above-mentioned basis, a closed-loop compensator is designed, which achieves the stable operation with the ZVS variable frequency and phase shift modulation. The analysis results are verified by the simulation and experimental results.
Study on Multi-Priority and Multi-Path QoS Routing Protocol for Airborne Heterogeneous Networks
Authors: Guo Jin , Zhang Shengbing , Zheng Bo , Zhang Hengyang , Liu Weilun
Published: September 2019

In order to guarantee the QoS requirements of multiple services in airborne all-domain heterogeneous and flexible networks, we propose a novel multi-priority and multi-path based QoS routing (MP2R) protocol in this paper. In the protocol, in terms of the route effectiveness and reliability, the route cost penalty function is constructed based on the multi-priority M/M/1 queueingqueuing system with the preemptive-resume policy. The minimum value of the function is derived through the optimization theory, and the optimum routing solution is acquired. The simulation results show that the MP2R protocol not only has the capabilities of differentiation services for different kinds of traffic and QoS provision, but also can utilize the network resource rationally, avoid congestion, achieve the load balancing, and meet the requirements of airborne all-domain heterogeneous and flexible networks effectively.
Uncertainty calculation of indoor and outdoor performance measurements for PV modules
Authors: Perrin Anne-Laure , Chabli Amal , Razongles Guillaume , Doucet Olivier
Published: September 2019

Since uncertainties are often overlooked, this analysis highlights why considering uncertainties on PV power or efficiency values is crucial in order to compare published values for different PV technologies. Following the International Energy Agency Report on “Uncertainties in PV System Yield predictions and Assessments” and European FP7 Sophia project, the state of the art of outdoor and indoor uncertainty calculations on PV modules performances is reviewed. Calculation tools are compared and discussed in order to identify the most relevant one. Indoor measurements are based on instantaneous measurements with a dedicated set up: a solar simulator, called “flash-test”. The simulated conditions are close to the standard tests conditions with a stable irradiance, AMG1.5 spectrum and at 25 °C ± 1 °C, which are more stable than outdoor tests. Outdoor measurements are taken performed on variable time periods. Variations over months are commonly observed within ± 5 % that is why averaging on long periods looks relevant to reduce the standard deviation down to 1.3 %. Outdoor measurements are performed close to Chambery in France, under a soft alpine climate, with current-voltage curve tracers. Indoor and outdoor values are finally compared and discussed.
Uncertainty calculations and calibration of metal hardness testing equipment
Authors: Gürel S. Kaan , Yüksel İ.Ahmet , Kılınç T .Oytun
Published: September 2019

Hardness tests have vital role for industries such as aerospace, ground vehicles and energy. In these industries, companies do not have only their internal processes but also sub-contractors. Therefore, for acceptance tests, hardness testing becomes so convenient way in order to confirm conformance of incoming materials to the facility. Additionally, there are also critical test limits that comes from technology transfer projects. In these type of projects, specification limits can be very narrow and design of parts may not be changed and quality (non-conformance) decisions may not be taken as rework or used as. In case of probable failure, material parts could cause catastrophic results in mentioned industries. In this study, hardness test capability of a Vickers Hardness Machine is investigated by use of direct and indirect calibration methods. Uncertainty calculations are made for Vickers test system. While making calibration of hardness test machines, the parts which are components of hardness scales shall be also calibrated / verified. These components must be in necessary tolerances related to EN/ISO specifications. After that, calibration of these hardness test machines are made by use of hardness reference blocks that are produced and calibrated by national metrology institute or an accredited laboratory.
La derive dans l’évaluation de l’incertitude
Authors: Coquet Pascal
Published: September 2019

Taking into account the instrumental drift in the uncertainty of measurement does not benefit at this time from a provided bibliography. Although an abundant literature (standards, articles, samples collections, etc.) dealing with the estimation of uncertainty by the GUM method exists, the question of the drift component is often avoided or inaccurate, usually limited to a point-to-point deviation divided by 2√3, which is based on an erroneous hypothesis and clearly confines to being immobile. The choice of a rectangular probability law supposes that the greatest variation observed is necessarily the greatest observable variation; in other words, during the observed history (sometimes reduced to two calibration certificates), we noted the maximum drift of which the instrument could be the object. If the method is effectively statistically questionable, it becomes completely useless as soon as a modification takes place; especially when the periodicity optimization (variable calibration frequency) is used or when the points are changed from one calibration to another, in number or level. We propose here an alternative method which intends to correct these defects and is at once compatible with the principles of the GUM and easily automatable.
Influence of storage time of pulp and paper industry wastewaters in AOX determination
Authors: Soares Micaela A. R. , Marques Manuela , Teresa Rodrigues Maria
Published: September 2019

The feasibility of storing wastewater samples from pulp and paper industry during more than 5 days (time recommend by ISO 5667-3:2018) for AOX determination was addresses in this study. Samples were collected before and after the aerobic biological treatment of a Portuguese industry. Experimental protocol included AOX measurements at days 4, 5, 6, 8, 11, 13, 15, 18 and 20 after sampling. Results obtained indicate that storage time is not matrix-dependent and it can be extended up to 20 days, which clearly improves management of laboratory activities concerning AOX determination.
Installation for the high accuracy flow meter calibration with the weighting method
Authors: Cantrak Djordje , Ilic Dejan , Jankovic Novica , Radanov Branka
Published: September 2019

Installation for precise flow meter calibrations meets demands of the relevant standards: high-quality installation, appropriate calibration methodology, instruments of high accuracy and satisfactory measurement uncertainty. So, it is necessary to calibrate the flow meter on an adequate installation. Designed and assembled installation for flow meters calibration for measurement of liquid flow in closed conduits up to 10 l/min, based on weighing method, is presented in this paper. Modified measurement methodology, which mainly follows standard ISO 4185, is presented in this paper. The geometry of the whole installation is presented and afterwards used for numerical experiments. Two numerical meshes were tested. First approach had a half a million cells and the second mesh was consisted of approximately 1.6 million cells. Both meshes were unstructured. Numerical results were used for installation test before manufacturing and assembling. The test rig was manufactured after the numerical results evaluation. Experimental validation of the calibration procedure followed. Obtained experimental results and measurement uncertainty for three operating regimes were analysed and reported. It was proved, experimentally and numerically, that uniform, i.e. developed turbulent flow, was achieved in the straight measurement section, what is of great importance for flow measurement calibration.