bluuebunny/crossref_metadata_2025 huggingface dataset:
Mass spectrometric identification of candidate RNA-binding proteins associated with Transition Nuclear Protein mRNA in the mouse testis
Authors: Phillips Bart T. , Williams Jason G. , Atchley Dustin T. , Xu Xiaojiang , Li Jian-Liang , Adams Andrea L. , Johnson Katina L. , Hall Traci M. Tanaka
Published: September 2019

Spermatogenesis is a differentiation process that requires dramatic changes to DNA architecture, a process governed in part by Transition Nuclear Proteins 1 and 2 (TNP1 and TNP2). Translation of Tnp1 and Tnp2 mRNAs is temporally disengaged from their transcription. We hypothesized that RNA regulatory proteins associate specifically with Tnp mRNAs to control the delayed timing of their translation. To identify potential regulatory proteins, we isolated endogenous mRNA/protein complexes from testis extract and identified by mass spectrometry proteins that associated with one or both Tnp transcripts. Five proteins showed strong association with Tnp transcripts but had low signal when Actin mRNA was isolated. We visualized the expression patterns in testis sections of the five proteins and found that each of the proteins was detected in germ cells at the appropriate stages to regulate Tnp RNA expression.
The encapsulation selectivity for anionic fission products imparted by an electride
Authors: Kuganathan Navaratnarajah , Chroneos Alexander , Grimes Robin W.
Published: September 2019

The nanoporous oxide 12CaO·7Al2O3 (C12A7) can capture large concentrations of extra-framework species inside its nanopores, while maintaining its thermodynamical stability. Here we use atomistic simulation to predict the efficacy of C12A7 to encapsulate volatile fission products, in its stoichiometric and much more effective electride forms. In the stoichiometric form, while Xe, Kr and Cs are not captured, Br, I and Te exhibit strong encapsulation energies while Rb is only weakly encapsulated from atoms. The high electronegativities of Br, I and Te stabilize their encapsulation as anions. The electride form of C12A7 shows a significant enhancement in the encapsulation of Br, I and Te with all three stable as anions from their atom and dimer reference states. Successive encapsulation of multiple Br, I and Te as single anions in adjacent cages is also energetically favourable. Conversely, Xe, Kr, Rb and Cs are unbound. Encapsulation of homonuclear dimers (Br2, I2 and Te2) and heteronuclear dimers (CsBr and CsI) in a single cage is also unfavourable. Thus, C12A7 offers the desirable prospect of species selectivity.
Comparison of optical coherence tomography and high frequency ultrasound imaging in mice for the assessment of skin morphology and intradermal volumes
Authors: Schuetzenberger Kornelia , Pfister Martin , Messner Alina , Froehlich Vanessa , Garhoefer Gerhard , Hohenadl Christine , Schmetterer Leopold , Werkmeister René M.
Published: September 2019

Optical coherence tomography (OCT) and high-frequency ultrasound (HFUS), two established imaging modalities in the field of dermatology, were evaluated and compared regarding their applicability for visualization of skin tissue morphology and quantification of murine intradermal structures. The accuracy and reproducibility of both methods were assessed ex vivo and in vivo using a standardized model for intradermal volumes based on injected soft tissue fillers. OCT revealed greater detail in skin morphology, allowing for detection of single layers due to the superior resolution. Volumetric data measured by OCT (7.9 ± 0.3 μl) and HFUS (7.7 ± 0.5 μl) were in good agreement and revealed a high accuracy when compared to the injected volume of 7.98 ± 0.8 µl. In vivo, OCT provided a higher precision (relative SD: 26% OCT vs. 42% HFUS) for the quantification of intradermal structures, whereas HFUS offered increased penetration depth enabling the visualization of deeper structures. A combination of both imaging technologies might be valuable for tumor assessments or other dermal pathologies in clinical settings.
Nanomachining-enabled strain manipulation of magnetic anisotropy in the free-standing GaMnAs nanostructures
Authors: Yang Chanuk , Lee Jae-Hyun , Jo Myunglae , Choi Hyung Kook , Park Seondo , Kim Young Duck , Cho Sung Un , Kim Donguk , Park Yun Daniel
Published: September 2019

Strain perturbs atomic ordering in solids, with far-reaching consequences from an increased carrier mobility to localization in Si, stabilization of electric dipoles and nanomechanical transistor action in oxides, to the manipulation of spins without applying magnetic fields in n-GaAs. In GaMnAs, a carrier-mediated ferromagnetic semiconductor, relativistic spin-orbit interactions – highly strain-dependent magnetic interactions – play a crucial role in determining the magnetic anisotropy (MA) and anisotropic magnetoresistance (AMR). Strain modifies the MA and AMR in a nanomachined GaMnAs structure as measured by the anomalous Hall effect (AHE) and the planar Hall effect (PHE). Here, we report an MA modification by strain relaxation in an isolated GaMnAs Hall bar structure and by applying a range of local strains via fabricating asymmetrically mechanically buckled GaMnAs micro-Hall bar structures. In the AHE and PHE measurements, we observe a reduction in the in-plane MA and an enhancement in the out-of-plane MA as the compressive strain due to the lattice mismatch relaxes in the suspended structure. The functionality of such mechanical manipulation, as well as the two-level mechanical state and the corresponding AHE responses, is demonstrated by a fully scalable binary mechanical memory element in a GaMnAs single Hall cross structure.
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Authors: Rohani Narjes , Eslahchi Changiz
Published: September 2019

Drug-Drug Interaction (DDI) prediction is one of the most critical issues in drug development and health. Proposing appropriate computational methods for predicting unknown DDI with high precision is challenging. We proposed "NDD: Neural network-based method for drug-drug interaction prediction" for predicting unknown DDIs using various information about drugs. Multiple drug similarities based on drug substructure, target, side effect, off-label side effect, pathway, transporter, and indication data are calculated. At first, NDD uses a heuristic similarity selection process and then integrates the selected similarities with a nonlinear similarity fusion method to achieve high-level features. Afterward, it uses a neural network for interaction prediction. The similarity selection and similarity integration parts of NDD have been proposed in previous studies of other problems. Our novelty is to combine these parts with new neural network architecture and apply these approaches in the context of DDI prediction. We compared NDD with six machine learning classifiers and six state-of-the-art graph-based methods on three benchmark datasets. NDD achieved superior performance in cross-validation with AUPR ranging from 0.830 to 0.947, AUC from 0.954 to 0.994 and F-measure from 0.772 to 0.902. Moreover, cumulative evidence in case studies on numerous drug pairs, further confirm the ability of NDD to predict unknown DDIs. The evaluations corroborate that NDD is an efficient method for predicting unknown DDIs. The data and implementation of NDD are available at https://github.com/nrohani/NDD.
Abundant and diverse Tetrahymena species living in the bladder traps of aquatic carnivorous Utricularia plants
Authors: Cheng Chao-Yin , Chang Shang-Lin , Lin I-Ting , Yao Meng-Chao
Published: September 2019

Ciliates are unicellular eukaryotes known for their cellular complexity and wide range of natural habitats. How they adapt to their niches and what roles they play in ecology remain largely unknown. The genus Tetrahymena is among the best-studied groups of ciliates and one particular species, Tetrahymena thermophila, is a well-known laboratory model organism in cell and molecular biology, making it an excellent candidate for study in protist ecology. Here, based on cytochrome c oxidase subunit I (COX1) gene barcoding, we identify a total of 19 different putative Tetrahymena species and two closely related Glaucoma lineages isolated from distinct natural habitats, of which 13 are new species. These latter include 11 Tetrahymena species found in the bladder traps of Utricularia plants, the most species-rich and widely distributed aquatic carnivorous plant, thus revealing a previously unknown but significant symbiosis of Tetrahymena species living among the microbial community of Utricularia bladder traps. Additional species were collected using an artificial trap method we have developed. We show that diverse Tetrahymena species may live even within the same habitat and that their populations are highly dynamic, suggesting that the diversity and biomass of species worldwide is far greater than currently appreciated.
Dengue virus infection in people residing in Africa: a systematic review and meta-analysis of prevalence studies
Authors: Simo Fredy Brice N. , Bigna Jean Joel , Kenmoe Sebastien , Ndangang Marie S. , Temfack Elvis , Moundipa Paul F. , Demanou Maurice
Published: September 2019

Better knowledge of the face of the current dengue virus (DENV) epidemiology in Africa can help to implement efficient strategies to curb the burden of dengue fever. We conducted this systematic review and meta-analysis to determine the prevalence of DENV infection in Africa. We searched PubMed, EMBASE, African Journals Online, and Africa Index Medicus from January 1st, 2000 to June 10th, 2019 without any language restriction. We used a random-effects model to pool studies. A total of 76 studies (80,977 participants; 24 countries) were included. No study had high risk of bias. Twenty-two (29%) had moderate and 54 (71%) had low risk of bias. In apparently healthy individuals, the pooled prevalence of DENV was 15.6% (95% confidence interval 9.9–22.2), 3.5% (0.8–7.8), and 0.0% (0.0–0.5) respectively for immunoglobulins (Ig) G, IgM, and for ribonucleic acid (RNA) in apparently healthy populations. In populations presenting with fever, the prevalence was 24.8% (13.8–37.8), 10.8% (3.8–20.6k) and 8.4% (3.7–14.4) for IgG, IgM, and for RNA respectively. There was heterogeneity in the distribution between different regions of Africa. The prevalence of DENV infection is high in the African continent. Dengue fever therefore deserves more attention from healthcare workers, researchers, and health policy makers.
Graphite carbon-encapsulated metal nanoparticles derived from Prussian blue analogs growing on natural loofa as cathode materials for rechargeable aluminum-ion batteries
Authors: Zhang Kaiqiang , Lee Tae Hyung , Bubach Bailey , Jang Ho Won , Ostadhassan Mehdi , Choi Ji-Won , Shokouhimehr Mohammadreza
Published: September 2019

Aluminum-ion batteries (AIBs) are attracting increasing attention as a potential energy storage system owing to the abundance of Al sources and high charge density of Al3+. However, suitable cathode materials to further advance high-performing AIBs are unavailable. Therefore, we demonstrated the compatibility of elemental metal nanoparticles (NPs) as cathode materials for AIBs. Three types of metal NPs (Co@C, Fe@C, CoFe@C) were formed by in-situ growing Prussian blue analogs (PBAs, Co[Co(CN)6], Fe[Fe(CN)6] and Co[Fe(CN)6]) on a natural loofa (L) by a room-temperature wet chemical method in aqueous bath, followed by a carbonization process. The employed L effectively formed graphite C-encapsulated metal NPs after heat treatment. The discharge capacity of CoFe@C was superior (372 mAh g−1) than others (103 mAh g−1 for Co@C and 75 mAh g−1 for Fe@C). The novel design results in CoFe@C with an outstanding long-term charge/discharge cycling performance (over 1,000 cycles) with a Coulombic efficiency of 94.1%. Ex-situ X-ray diffraction study indicates these metal NP capacities are achieved through a solid-state diffusion-limited Al storage process. This novel design for cathode materials is highly significant for the further development of advanced AIBs in the future.
An epigenetic biomarker for adult high-functioning autism spectrum disorder
Authors: Kimura Ryo , Nakata Masatoshi , Funabiki Yasuko , Suzuki Shiho , Awaya Tomonari , Murai Toshiya , Hagiwara Masatoshi
Published: September 2019

Increasing evidence suggests that epigenetic mechanisms play a role in the etiology of autism spectrum disorder (ASD). To date, several studies have attempted to identify epigenetic biomarkers for ASD. However, reliable markers remain to be established and most of these studies have focused on pediatric patients with ASD. In this study, we sought to find an epigenetic DNA methylation biomarker from peripheral blood for adult patients with high-functioning ASD. DNA methylation profiles were analyzed using the Illumina 450 K methylation array. To identify robust candidate markers, we employed two types of machine-learning algorithms for marker selection. We identified a potential marker (cg20793532) for which is the AUC value was 0.79. Notably, cg20793532 was annotated to thePPP2R2Cgene, which was hypermethylated and down-regulated in blood from ASD patients compared to that in the controls. Although requiring careful interpretation, this pilot study seems to provide a potential blood biomarker for identifying individuals with high-functioning ASD.
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
Authors: Arcadu Filippo , Benmansour Fethallah , Maunz Andreas , Willis Jeff , Haskova Zdenka , Prunotto Marco
Published: September 2019

The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photographs (CFPs) acquired at a single visit from a patient with DR. The proposed DL models were designed to predict future DR progression, defined as 2-step worsening on the Early Treatment Diabetic Retinopathy Diabetic Retinopathy Severity Scale, and were trained against DR severity scores assessed after 6, 12, and 24 months from the baseline visit by masked, well-trained, human reading center graders. The performance of one of these models (prediction at month 12) resulted in an area under the curve equal to 0.79. Interestingly, our results highlight the importance of the predictive signal located in the peripheral retinal fields, not routinely collected for DR assessments, and the importance of microvascular abnormalities. Our findings show the feasibility of predicting future DR progression by leveraging CFPs of a patient acquired at a single visit. Upon further development on larger and more diverse datasets, such an algorithm could enable early diagnosis and referral to a retina specialist for more frequent monitoring and even consideration of early intervention. Moreover, it could also improve patient recruitment for clinical trials targeting DR.
Microstructure defines the electroconductive and mechanical performance of plant-derived renewable carbon fiber
Authors: Li Qiang , Hu Cheng , Clarke Heidi , Li Mengjie , Shamberger Patrick , Wu Wenhao , Yuan Joshua S.
Published: September 2019

A plant-derived lignin polymer has been enzymatically fractionated to tune its chemistry for making renewable carbon fiber, both the electrical conductivity and mechanical properties of which were found to be defined by the formed microstructures.
A self-doping strategy to improve the photoelectrochemical performance of Cu2ZnSnS4nanocrystal films for water splitting
Authors: Feng Xiaoyang , Hou Lulu , Huang Zhenxiong , Li Rui , Shi Jinwen , Chen Yubin
Published: September 2019

A self-doped CZTS photocathode showed improved PEC activity due to the conduction band shift and the formation of a shallow defect level.
Metal-free sulfonyl radical-initiated cascade cyclization to access sulfonated indolo[1,2-a]quinolines
Authors: Sun Kai , Chen Xiao-Lan , Zhang Yin-Li , Li Kai , Huang Xian-Qiang , Peng Yu-Yu , Qu Ling-Bo , Yu Bing
Published: September 2019

A metal-free cascade reaction was developed for the synthesis of indolo[1,2-a]quinoline derivatives from arylsulfonyl hydrazides and 1-(2-(arylethynyl)phenyl)indoles in the presence of TBAI/TBHP.
Series of 3D lanthanide MOFs derived from saddle-like alicyclic tetracarboxylate ligands: synthesis, characterization and structure–photoluminescence correlations
Authors: Wang Jia-Yin , Shi Yang , Tao Dong-Liang , Bo Qi-Bing
Published: September 2019

Substitution of inorganic component units with saddle-like alicyclic tetracarboxylate ligands results in functional lanthanide MOFs with highly efficient photoemitting characteristics.
On the linear geometry of lanthanide hydroxide (Ln-OH, Ln = La–Lu)
Authors: Harb Hassan , Thompson Lee M. , Hratchian Hrant P.
Published: September 2019

Density functional theory predicts that lanthanide hydroxides are linear, with the lanthanide-hydroxide bond being characterized as a covalent triple bond.
Charge-induced electromechanical actuation of two-dimensional hexagonal and pentagonal materials
Authors: Thanh Vuong Van , Truong Do Van , Tuan Hung Nguyen
Published: September 2019

We investigate electromechanical properties of two-dimensional hexagonal and pentagonal materials as a function of electron and hole dopings. We found that the actuator performance of graphene and penta-graphene is much improved by the hydrogenation.
Photoexcited triplet states of twisted acenes investigated by Electron Paramagnetic Resonance
Authors: Tait Claudia E. , Bedi Anjan , Gidron Ori , Behrends Jan
Published: September 2019

Increased twisting of the anthracene core affects the ISC efficiency and induces changes in zero-field splitting parameters, spin polarisation and hyperfine couplings.
Electro-osmotic flow in hydrophobic nanochannels
Authors: Silkina Elena F. , Asmolov Evgeny S. , Vinogradova Olga I.
Published: September 2019

An analytical theory of electroosmosis in hydrophobic nanochannels of large surface potential/charge density incorporates a mobility of adsorbed charges and hydrodynamic slip, and is valid both for thin and strongly overlapping diffuse layers.
Distinct ionic adsorption sites in defective Prussian blue: a 3D-RISM study
Authors: Ruankaew Nirun , Yoshida Norio , Watanabe Yoshihiro , Nakayama Akira , Nakano Haruyuki , Phongphanphanee Saree
Published: September 2019

The adsorption site of alkali ions in defective Prussian blue.
N2O5reactive uptake kinetics and chlorine activation on authentic biomass-burning aerosol
Authors: Goldberger Lexie A. , Jahl Lydia G. , Thornton Joel A. , Sullivan Ryan C.
Published: September 2019

The reactive uptake kinetics of nitrogen pentoxide (N2O5) to authentic biomass-burning aerosol and the production of nitryl chloride (ClNO2) was determined using an entrained aerosol flow tube reactor.
Activation of tetrafluoropropenes by rhodium(i) germyl and silyl complexes
Authors: Talavera Maria , Müller Robert , Ahrens Theresia , von Hahmann Cortney N. , Braun-Cula Beatrice , Kaupp Martin , Braun Thomas
Published: September 2019

The activation of tetrafluoropropenes at rhodium silyl and germyl complexes revealed various reaction pathways such as the generation of organic derivatives of the substrate and a rhodium fluorido complex or the formation of rhodium vinyl complexes.
Targeting Acr3 fromEnsifer medicaeto the plasma membrane or to the tonoplast of tobacco hairy roots allows arsenic extrusion or improved accumulation. Effect ofacr3expression on the root transcriptome
Authors: Pérez-Palacios Patricia , Funes-Pinter Iván , Agostini Elizabeth , Talano Melina A. , Ibáñez Sabrina G. , Humphry Matt , Edwards Kieron , Rodríguez-Llorente Ignacio D. , Caviedes Miguel A. , Pajuelo Eloísa
Published: September 2019

ACR3 expression at the plasma membrane or at the tonoplast of root cells allows As extrusion or As hyperaccumulation.
Hot off the press
Authors: Hill Robert A. , Sutherland Andrew
Published: September 2019

A personal selection of 32 recent papers is presented covering various aspects of current developments in bioorganic chemistry and novel natural products such as phlegmadine A from Phlegmariurus phlegmaria.
Construction of a bifunctional Zn(ii)–organic framework containing a basic amine functionality for selective capture and room temperature fixation of CO2
Authors: Das Rajesh , Dhankhar Sandeep Singh , Nagaraja C. M.
Published: September 2019

The construction of a novel 3D, porous, bifunctional Zn(ii)–organic framework featuring two-types of 1D channels for efficient fixation of CO2 to cyclic carbonates under solvent-free mild conditions of RT is reported.
Oxidation-assisted alkaline precipitation: the effect of H2O2 on the size of CuO and FeOOH nanoparticles
Authors: Eggermont Sam G. F. , Rua-Ibarz Ana , Tirez Kristof , Dominguez-Benetton Xochitl , Fransaer Jan
Published: September 2019

H2O2 was demonstrated to narrow the size distribution and decrease the size of CuO and hydrous FeOOH (2-line ferrihydrite) nanoparticles under conditions of high supersaturation.
Renewable 4-HIF/NaOH aerogel for efficient methylene blue removal via cation–π interaction induced electrostatic interaction
Authors: Zhang Longfei , Yang Li , Xu Yewei , Chang Guanjun
Published: September 2019

A novel porous organic material 4-hydroxyindole-formaldehyde/NaOH (4-HIF/NaOH) aerogel was prepared via a facile polymerization, soaking in NaOH aqueous solution and ambient drying method.
Improved battery performance contributed by the optimized phase ratio of β and α of PVDF
Authors: Ren Ya , Wang Ying , Zhang Wenlong , Yan Xiao , Huang Bixiong
Published: September 2019

Inorganic salts (LiCl) were induced to improve the ratio of β and α of PVDF by the solution method.
Temperature tuned syntheses of two new d10-based Cd(ii) cluster metal–organic frameworks: luminescence sensing and photocatalytic properties
Authors: Li Caiping , Lu Lu , Wang Jun , Yang Qianqian , Ma Deyun , Alowais Ahmad , Alarifi Abdullah , Kumar Abhinav , Muddassir Mohd.
Published: September 2019

Two new d10-based Cd(ii) MOFs were synthesized and their photoluminescence sensing to selectively detect m-nitrophenol (MNP) and ability to decompose the organic dye methyl violet (MV) were explored.
Spacer layer design for efficient fully printable mesoscopic perovskite solar cells
Authors: Liu Tongfa , Xiong Yuli , Mei Anyi , Hu Yue , Rong Yaoguang , Xu Mi , Wang Zheng , Lou Lingyun , Du Dongjie , Zheng Shizhao , Long Xia , Xiao Shuang , Yang Shihe , Han Hongwei
Published: September 2019

Key principles and reasonable routes are proposed to advance the spacer layer design for fully printable mesoscopic perovskite solar cells.
Studies on PBFMO-b-PNMMO alternative block thermoplastic elastomers as potential binders for solid propellants
Authors: Xu Minghui , Lu Xianming , Mo Hongchang , Liu Ning , Zhang Qian , Ge Zhongxue
Published: September 2019

A novel energetic polymeric binder PBFMO-b-PNMMO alternative block thermoplastic elastomer was developed for metal-rich solid propellants.
LSGSP: a novel miRNA–disease association prediction model using a Laplacian score of the graphs and space projection federated method
Authors: Zhang Yi , Chen Min , Cheng Xiaohui , Chen Zheng
Published: September 2019

Lots of research findings have indicated that the mutations and disorders of miRNAs (microRNAs) are closely related to diseases. Therefore, determining the associations between human diseases and miRNAs is key to understand the pathogenic mechanisms.
TBHP-mediated oxidative synthesis of substituted pyrimido[4,5-d]pyrimidines fromN-uracil amidines and methylarenes under metal free conditions
Authors: Debnath Pradip
Published: September 2019

An efficient and operationally simple protocol has been described for the synthesis of 1,3,5,7-tetrasubstituted pyrimido[4,5-d]pyrimidinesviaTBHP-mediated direct oxidative coupling ofN-uracil amidines and methylarenes under metal-free conditions.
Understanding the structural transformation of carbon black from solid spheres to hollow polyhedra during high temperature treatment
Authors: Fan Chengwei , Liu Yifan , Zhu Jiayao , Wang Luxiang , Chen Xiaohong , Zhang Su , Song Huaihe , Jia Dianzeng
Published: September 2019

Carbon black nanoparticles with a solid skin–core structure gradually transform to hollow nanopolyhedra when treated above 1800 °C.
Coordination polymer-based conductive materials: ionic conductivity vs. electronic conductivity
Authors: Wang Hai-Ning , Meng Xing , Dong Long-Zhang , Chen Yifa , Li Shun-Li , Lan Ya-Qian
Published: September 2019

This review summarizes recent developments of coordination polymers and their derivatives for ionic and electrical conductivity with the discussion about synthetic strategies and possible mechanisms to identify the key structural factors.
Lithiophilic NiO hexagonal plates decorated Ni collector guiding uniform lithium plating for stable lithium metal anode
Authors: Lu Weiyi , Wu Chen , Wei Weifeng , Ma Jianmin , Chen Libao , Chen Yuejiao
Published: September 2019

The Li-plated behavior was modified and Li-dendrites were suppressed through the generation of lithiophilic vertically aligned NiO hexagonal nanoplates on a Ni foil.
D–A polymers for fluorescence/photoacoustic imaging and characterization of their photothermal properties
Authors: Zhu Yaowei , Gu Chuantao , Miao Yawei , Yu Bing , Shen Youqing , Cong Hailin
Published: September 2019

Two D–A polymers with good NIR-II fluorescence, photoacoustic and photothermal properties were designed and synthesized.
Coral-shaped Au nanostructures for selective apoptosis induction during photothermal therapy
Authors: Xing Yingfang , Kang Tuli , Luo Xiaojun , Zhu Jingtian , Wu Ping , Cai Chenxin
Published: September 2019

The use of coral-shaped Au nanostructures as a heater to selectively induce apoptosis in photothermal therapy of cancer is reported.
Topological nodal lines and nodal points in the antiferromagnetic material β-Fe2PO5
Authors: He Tingli , Zhang Xiaoming , Meng Weizhen , Jin Lei , Dai Xuefang , Liu Guodong
Published: September 2019

Antiferromagnetic β-Fe2PO5 is a new topological semimetal with coexisting rich fermionic states, and with the potential to be applied in topological antiferromagnetic spintronics.
Digitally printed stretchable electronics: a review
Authors: Fernandes Daniel Félix , Majidi Carmel , Tavakoli Mahmoud
Published: September 2019

Digital printing of stretchable electronics is reviewed. Multiple technologies and materials, like liquid metals and composites, are addressed.
Study on Infrared Air-to-Air Missile Guidance Accuracy Affected by Complicated Environment
Authors: Li Quancheng , Zhu Chuanxiang , Fan Yonghua , Wan Shizheng , Yan Jie
Published: September 2019

The guidance accuracy of an infrared air-to-air missile is affected by various factors such as target maneuver, interference, and the natural environment. The complicated confrontational environment posed by target maneuver and decoy launch is considered in this article. The more practical adjoint analysis model for the influence of target maneuver and decoy launch on missile guidance accuracy is established by analyzing the jamming process, motion characteristics, and the influence mechanism on the guidance system of point source decoy. By using the adjoint method, the barrel roll maneuver angular rate, the numble of simultaneous decoy launch, the ignition time, the interval between launches and the strategy influence on the miss distance of the missile are analyzed in detail, which will provide strategic references for the aircraft to fight against the infrared air-to-air missiles.
Solving Approach of Inverse Kinematics for Manipulators Based on Improved Adaptive Niche Genetic Algorithm
Authors: Yang Huizhen , Liu Xiyang
Published: September 2019

Solving the inverse kinematics for a manipulator is of great importance to the manipulator's pose control and trajectory planning. Aiming at the poor generality and difficulty of finding an optimal solution from the multiple inverse kinematics solutions, a novel solution approach based on the modified adaptive niche genetic algorithm is proposed in this study. The principle of 'most suppleness' is integrated into the fitness function such that the only optimal solution can be found; The clustering is introduced into the approach for enhancing the generality and the genetic algorithm is improved for increasing the convergence speed and accuracy. Simulation results based on a six degree of freedom manipulator show that the proposed approach is effective and high precision, and can find the optimal solution.
A Bioinspired Visual Saliency Model
Authors: Zhang Ke , Zhao Xinbo , Mo Rong
Published: September 2019

This paper presents a bioinspired visual saliency model. The end-stopping mechanism in the primary visual cortex is introduced in to extract features that represent contour information of latent salient objects such as corners, line intersections and line endpoints, which are combined together with brightness, color and orientation features to form the final saliency map. This model is an analog for the processing mechanism of visual signals along from retina, lateral geniculate nucleus(LGN)to primary visual cortex V1:Firstly, according to the characteristics of the retina and LGN, an input image is decomposed into brightness and opposite color channels; Then, the simple cell is simulated with 2D Gabor filters, and the amplitude of Gabor response is utilized to represent the response of complex cell; Finally, the response of an end-stopped cell is obtained by multiplying the response of two complex cells with different orientation, and outputs of V1 and LGN constitute a bottom-up saliency map. Experimental results on public datasets show that our model can accurately predict human fixations, and the performance achieves the state of the art of bottom-up saliency model.
Memory Compact High-Speed QC-LDPC Decoder Based on FPGA
Authors: Xie Tianjiao , Li Bo , Yang Mao , Yan Zhongjiang
Published: September 2019

In this paper, two compact memory strategies for partially parallel QC-LDPC decoder architecture are proposed. By compacting several adjacent rows hard decisions and extrinsic messages into one memory entry, which not only reduces the number of memory banks for hard decisions, but also facilitates multiple data accesses per clock cycle so as to increase the throughput of decoder. We demonstrate significant high speed and area efficient benefits of using the proposed techniques with an FPGA implementation of a CCSDS LDPC decoder on Xilinx XC5VLX330 device. The result shows that our new decoder can operate at a maximum frequency of 250 MHz after place and route, and achieve a throughput up to 2 Gb/s at 14 iterations.
Numerical Investigation of Powered Jet Effects by RANS/LES Hybrid Methods
Authors: Gong Zhibin , Li Jie , Shan Jixiang , Zhang Heng
Published: September 2019

For the high-precision simulation of engine jet effects, an improved delayed detached eddy simulation (IDDES) method based on the two-equation shear stress transport (SST) model is developed, and the fifth-order finite-volume weighted essentially non-oscillatory (WENO) scheme is employed to enhance accuracy of spatial discretization, and then numerical investigation of powered jet effects by RANS/LES hybrid methods is carried out. The effects of the grid distributions and the accuracy of the spatial schemes are discussed during the RANS/LES validation analysis on the fully expanded jet flow and Acoustic Reference Nozzle (ARN) jet flow. The results show that, by enlarging the grid density and improving the accuracy of the spatial schemes, the velocity distributions in the jet flow can be better predicted, the non-physical steady flow after the jet nozzle can be shortened, the instantaneous flow structures are clearer and the turbulent intensities are more accurate. Then IDDES simulation of turbofan engine jet flow is carried out. The mixing characteristics of the external fan jet flow and internal core jet flow as well as the ambient flow are obtained, and the three-dimensional turbulent structures are also given.
Numerical Investigation of Dorsal S-Shaped Inlet Flow Characteristic and Effects of Related Parameters
Authors: Jia Hongyin , Zhou Guiyu , Tang Jing , Wu Xiaojun , Ma Mingsheng
Published: September 2019

The air intake design system of the dorsal intake combined with the S-shaped inlet has been widely used in various combat aircraft due to its good stealth characteristics. In this paper, the numerical simulation of the flow characteristic and influence law of various parameters for a typical air intake design with dorsal S-shaped inlet was carried out using the in-house large-scale parallel computational fluid dynamics (CFD) solver. Firstly, the numerical method was introduced and the solver was preliminarily validated by the well-known RAE M2192 inlet model. Then, the numerical calculation of the target air intake design was conducted and the distribution of shockwave at the entrance area, the second flow in the inlet and the flow at the exit section plane were analyzed in proper order. In addition, the influence of the bump height and lip sweep angles on the inlet performance was also studied. The simulation results show that the unique S-shaped design in the inlet will result in flow separation and secondary flow, ultimately causing total pressure loss, and different external geometry parameters have a great influence on the inlet performance. Within a certain range, proper reduction of the bump height or lip sweep angle can improve the inlet performance.
A New Method for Adjusting Setting Angle of Rotor Blade for Axial Fan in Wind Tunnel
Authors: Qu Xiaoli , Ren Zebin , Yang Wenguo , Luo Yuanqiang , Cong Chenghua
Published: September 2019

Combining the fan aerodynamic efficiency with the wind tunnel pressure loss coefficient, a new equation which points out the inherent relationship of the fan blade setting angle, fan rotating speed and gas flow rate in wind tunnel circuit is derived according to the two-dimensional flow theory of the axial fan rotor blades and the aerodynamic characteristics of the low speed wind tunnel. So a new method for setting angle adjustment of fan rotor blade to satisfy the fan performance at off-design point by getting the test results of fan operation parameters but without the fan total pressure rise in the low speed wind tunnel is developed. Flowing the new method, the setting angle adjusting value of fan rotor blade was provided only with the fan rotating speed and flow velocity in the test section of a low speed wind tunnel directly before the fan setting angle altered, the adjusting target was achieved by the new blade setting angle successfully and the time and cost of the wind tunnel commissioning test were saved. The test results show that, after increasing the fan rotor blade setting angle by 4.5 degrees, when the flow velocity in the wind tunnel test section reaches 60 m/s, the fan rotating speed is 570 r/min, the deviation from the predicted fan rotating speed value of 575 r/min is 0.9%. For the same test section flow velocity, the predicted value of the fan rotating speed is in a good agreement with the real value, it proves that this method is reliable and accurate in practical application.
A Design of Online Fault Diagnosis System Based on ESR for Electrolytic Capacitors
Authors: An Zhenhua , Zhang Guixin , Li Kaidi , Wu Xun , Cheng Shu , Qiao Haiyang
Published: September 2019

ESR(Equivalent Series Resistance) is one of the important indicators for evaluating health status of electrolytic capacitors. Due to the structural specificity of the electrolytic capacitors, ESR is difficult to measure directly. In order to monitor the health status of the electrolytic capacitor in real time, an equivalent model for the electrolytic capacitor is established. The ESR frequency characteristics and temperature characteristics are analyzed and tested. The method of online fault diagnosis by evaluating the health status of the electrolytic capacitor with online calculation of ESR is proposed. Comparing the calculated value of ESR real-time with the initial value, when the former increases to a certain threshold value with respect to the latter under the same working condition, the electrolytic capacitor can be considered as failed, and the observer can perform replacement processing according to this mechanism in time. Finally, the effectiveness of the method was verified by using the dSPACE semi-physical experimental platform.
Quick Suppression of Vibration of Robot via Hybrid Input Shaping Control Strategy
Authors: Wei Yulan , Li Bing , Zhang Qingzhu , Ou Pengfei
Published: September 2019

When the vibration amplitude and resonant frequency bandwidth of each mode are different in the multiple-modal system, the response time of a system is increased but the residual vibration is effectively reduced by the positive impulses multiple-modal input shapers. However, a negative impulses hybrid multiple-modal input shaping method can solve those problems. The basic principle of this control strategy and a 3-DOF parallel robot were introduced. Six negative impulses hybrid input shapers to reduce vibration of the first two modes were constructed based on the robot. Using simulation methods, the response time and vibration suppression abilities of various negative impulses hybrid two-modal input shapers (NHTIS) were obtained by analyzing the vibration response curves of these input shapers, and comparing with positive and negative impulses two-modal input shapers, respectively. The results show that the NHTIS can improve the response speed of the system while significantly reducing the multiple-modal residual vibration.
Effects of self-regulatory processes on cognitive representation of team-specific tactics in junior male soccer players
Authors: Vorraber Lawson Gabriela Andrade , Janczura Gerson Américo , Lex Heiko
Published: September 2019

The present study aims to demonstrate the relationship between cognitive and behavioral variables that configure expert performance by testing if training in self-regulatory processes would affect the organization of tactics mental representation in soccer. A 2 × 2 mixed design was applied, manipulating the level of training in self-regulatory processes between groups and the moment of evaluation within groups. Participants were 13 under-15 year-old male soccer players from Montevideo, Uruguay, with an average of 9.38 years of competitive experience. The experimental group went through 10 individual weekly sessions of training in self-regulatory processes comprising 11 out of 18 self-regulatory processes presented in Zimerman’s Multiphasic Cycle of Self Regulatory Processes. Greater improvement on the cognitive representation of tactics was observed in the experimental group, which revealed more functionally organized clustering of offensive and defensive team-specific tactical concepts in long-term memory after the training. Results showed significant differences in the organization of tactical knowledge in long-term memory due to the participation in a training program on self-regulatory processes focusing on tactical actions in soccer. This study extended the effects of self-regulatory processes, previously evidenced in specific situations in other sports, to the organization of tactics mental representation in soccer. The effects are related to the facilitation of learning processes caused by the use of self-regulatory processes. The systematic application of learning strategies adapted to tactical situations seemed to enable participants to organize tactical knowledge in long-term memory.
An architecture of an interactive multimodal urban mobility system
Authors: El Moufid Mohamed , Nadir Younes , Benhadou Siham , Medromi Hicham
Published: September 2019

Throughout the world and particularly in urban areas, population growth can be listed as a direct cause of the uprising use of personal vehicles in cities around the world. Such attitude may lead to dramatic consequences, not only economically, but socially and environmentally. To meet these challenges, and to promote the use of multiple means of public transports by citizens, public authorities and transport operators seek − within the framework of the implementation of connected cities projects and intelligent − to optimize the extraction as well as the exploitation of the multimodal information by developing Interactive Systems of Assistance to the Multimodal Movement (IAMM). However, finding the optimal multimodal path for a given person is far from being a simple matter. Indeed, each potential user may have different or unique preferences regarding the: cost and/or duration of his/her journey, number of mode changes, comfort or safety levels desired. In the present study, we propose a multi-agent system which, based on the parameters entered by each user, proposes the optimal paths in the Pareto sense, including different public transport modes, private cars and parking availability.
Balintgruppen: aus der Praxis der Psychosomatischen Grundversorgung – Beispiele und Leiterperspektiven
Authors: Otten Heide
Published: September 2019

Balintarbeit als Pflicht für die Teilhabe an der Psychosomatischen Grundversorgung ist eine Chance. Andere Länder beneiden uns darum. Allerdings gibt es auch kritische Stimmen, die diese Gruppenarbeit als Zwang ablehnen. Nicht selten hören wir zu Beginn eines Kurses von negativen Erfahrungen in Balintgruppen. Was können wir tun, um die Chance optimal zu nutzen, die uns die Einbindung der Balintarbeit in die Weiterbildung bietet? An erster Stelle steht hier eine fundierte Ausbildung der Balintgruppenleiter, die eine Atmosphäre der Wertschätzung, der Toleranz, des Vertrauens in der Gruppe schaffen, die eine Reflexion über die Gestaltung der Arzt-Patient-Beziehung ermöglicht. Beispiele aus einer Balintgruppe in der PSGV sollen einen Einblick geben in die Herausforderung und Möglichkeiten, die für Leiter und Gruppe in dieser Arbeit stecken.
Parasitäre Beziehungen und aktives Leiterverhalten in der Balintgruppe – mit besonderem Bezug zu den theoretischen Annahmen von W. R. Bion
Authors: Rüth Ulrich
Published: September 2019

Anhand eines komplexen Fallberichts aus der Balintgruppe wird das Konzept der parasitären Beziehung nach Bion aufgegriffen, bei welcher Denken und Entwicklung zerstört werden und eine Alpha-Funktion zur Transformation gemachter Erfahrungen nicht mehr zur Verfügung steht. Ausgehend von der Überlegung, dass eine parasitäre Beziehung gar keine übliche Arzt-Patienten-Beziehung mehr darstellt, wird ein aktives Leiterverhalten beschrieben, um die über Spiegelungsphänomene in der Gruppe verloren gegangene Alpha-Funktion zu ersetzen und die parasitäre Verstrickung aufzulösen.
Periventricular Venous Infarction in an Extremely Premature Infant as the Cause of Schizencephaly
Authors: Ilves Norman , Ilves Pilvi , Õunap Katrin , Laugesaar Rael , Loorits Dagmar , Lintrop Mare , Männamaa Mairi , Metsvaht Tuuli
Published: September 2019

Schizencephaly is a disorder of neuronal migration which has been hypothesized to arise from vascular ischemic lesion during the early phase of neuroembryogenesis. We describe a case of a premature boy born at 23 weeks of gestation with neonatal stroke. On the first day of life cranial ultrasonography detected a grade II intraventricular hemorrhage and on day 12 periventricular venous infarction. At the postconceptional age of 40 weeks, magnetic resonance imaging revealed a gray matter–lined cleft, suggesting schizencephaly. We have evidence of the pathogenesis of schizencephaly following vascular ischemic stroke early in neurodevelopment before neuronal migration is completed.
Evaluation of the influence of physical and chemical parameters on water radiolysis simulations under MeV electron irradiation using Geant4-DNA
Authors: Shin W.-G. , Ramos-Mendez J. , Faddegon B. , Tran H. N. , Villagrasa C. , Perrot Y. , Okada S. , Karamitros M. , Emfietzoglou D. , Kyriakou I. , Bordage M. C. , Sakata D. , Guatelli S. , Choi H. J. , Min C. H. , Lee S. B. , Incerti S.
Published: September 2019

This paper presents the influence of electron elastic scattering models, electron thermalization models, and chemical parameters on Geant4-DNA simulations of liquid water radiolysis under mega-electron-volt electron irradiation. The radiochemical yields are simulated using a new Geant4-DNA example. In particular, the influence of the new elastic scattering model recently developed is presented as well as the influence of improved electron thermalization models. The influence of a new chemistry constructor using parameters of another Monte Carlo track structure code is also described. The results calculated using these different models are compared with each other and with experimental data. For sub-mega-electron-volt electron simulations, the combination of the “G4EmDNAPhysics_option2” physics constructor with the recently developed elastic scattering model, the Meesungnoen electron thermalization model, and the “G4EmDNAChemistry_option1” chemistry constructor is recommended.
Properties and Structure of Glassy TeO2 and Binary Potassium and Boron Tellurites
Authors: Hauke B. , Barney E. R. , Crego A. , Tarantino G. , Affatigato M. , Feller S.
Published: September 2019

Tellurite glasses show potential for use in mid-infrared optical applications1, but their structure has not been intensively studied. While they do not conduct light better than chalcogenides, which are currently the best glasses for infrared optics, they are much easier to produce. Potassium and boron tellurite glasses, including single component, rapidly cooled TeO2, are reported and studied here. The results include the Glass Transition Temperature (Tg) measurements and Raman spectra. Proposed structural models are also discussed.
Characterization of plasma emission in the 1-6 nm band from laser-irradiated cryogenic xenon targets
Authors: Bott-Suzuki S. C. , Bykanov A. , Khodykin O. , Tillack M. , Cordaro S. , McGuffey C.
Published: September 2019

We present measurements from laser-produced plasmas generated using cryogenic Xe targets and quantify the emission characteristics in the soft x-ray region (1 to 6 nm). The system is based on a LN2-cooled rotating drum, which allows for a high repetition rate, and Nd:YAG laser systems with energies up to 325 mJ on-target with pulse lengths of 130 ps, 600 ps, or 6.5 ns. High resolution spectra are measured using a grazing incidence spectrometer, and we present the first quantitative conversion efficiency (CE) measurements for Xe in this range. Data show CE values up to ∼1% at 6 nm and ∼0.08% at 1.5 nm (for 2% bandwidth and 2π solid angle), and there are lower limits on the required laser intensities and energies on target to achieve these efficiencies. In addition, the emission spot size is directly measured at 2 nm (620 eV) using a point-projection slit imaging method, with optimized emission spot sizes of ∼20 μm.