bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of neuroglobin plasticity highlighted by joint coarse-grained simulations and high pressure crystallography
Authors: Colloc’h Nathalie , Sacquin-Mora Sophie , Avella Giovanna , Dhaussy Anne-Claire , Prangé Thierry , Vallone Beatrice , Girard Eric 
Published: May 2017

AbstractInvestigating the effect of pressure sheds light on the dynamics and plasticity of proteins, intrinsically correlated to functional efficiency. Here we detail the structural response to pressure of neuroglobin (Ngb), a hexacoordinate globin likely to be involved in neuroprotection. In murine Ngb, reversible coordination is achieved by repositioning the heme more deeply into a large internal cavity, the “heme sliding mechanism”. Combining high pressure crystallography and coarse-grain simulations on wild type Ngb as well as two mutants, one (V101F) with unaffected and another (F106W) with decreased affinity for CO, we show that Ngb hinges around a rigid mechanical nucleus of five hydrophobic residues (V68, I72, V109, L113, Y137) during its conformational transition induced by gaseous ligand, that the intrinsic flexibility of the F-G loop appears essential to drive the heme sliding mechanism, and that residue Val 101 may act as a sensor of the interaction disruption between the heme and the distal histidine.
Twinning-induced plasticity (TWIP) and work hardening in Ti-based metallic glass matrix composites
Authors: Fan J. , Qiao J. W. , Wang Z. H. , Rao W. , Kang G. Z. 
Published: May 2017

AbstractThe present study demonstrates that Ti-based metallic glass matrix composites (MGMCs) with a normal composition of Ti43Zr32Ni6Ta5Be14 containing ductile dendrites dispersed in the glass matrix has been developed, and deformation mechanisms about the tensile property have been investigated by focusing on twinning-induced plasticity (TWIP) effect. The Ti-based MGMC has excellent tensile properties and pronounced tensile work-hardening capacity, with a yield strength of 1100 MPa and homogeneous elongation of 4%. The distinguished strain hardening is ascribed to the formation of deformation twinning within the dendrites. Twinning generated in the dendrites works as an obstacle for the rapid propagation of shear bands, and then, the localized necking is avoided, which ensures the ductility of such kinds of composites. Besides, a finite-element model (FEM) has been established to explain the TWIP effect which brings out a work-hardening behavior in the present MGMC instead of a localized strain concentration. According to the plasticity theory of traditional crystal materials and some new alloys, TWIP effect is mainly controlled by stacking fault energy (SFE), which has been analyzed intensively in the present MGMC.
Total tumour diameter is superior to unifocal diameter as a predictor of papillary thyroid microcarcinoma prognosis
Authors: Liu Chunping , Wang Shuntao , Zeng Wen , Guo Yawen , Liu Zeming , Huang Tao 
Published: May 2017

AbstractThe current American Joint Committee (AJCC) on Cancer TNM classification does not describe the treatment of multifocal papillary thyroid microcarcinomas (PTMCs) with a total tumour diameter (TTD) >1 cm. Herein, we investigated this PTMC subgroup in terms of extrathyroidal extension (ETE), local infiltration, central lymph node metastasis (LNM), and prognosis. Consecutive patients (n = 1102) were identified and the proportions of LNM, ETE, and local infiltration were similar between PTCs with a unifocal tumour diameter >1 cm and ≤2 cm and PTMCs with a multifocal TTD >1 cm and ≤2 cm. The proportions of LNM, ETE, and local infiltration were also similar between PTMCs with a unifocal diameter ≤1 cm vs. multifocal TTD ≤1 cm. However, when comparing PTMCs with a unifocal diameter ≤1 cm vs. multifocal TTD >1 cm, significant differences were observed. In the Kaplan-Meier analysis, significant differences were observed between PTMCs with a unifocal diameter ≤1 cm vs. multifocal TTD >1 cm and multifocal TTD ≤1 cm vs. multifocal TTD >1 cm. Accordingly, TTD may represent a more accurate criterion for tumour size of PTCs and should be considered in the revised AJCC staging system.
Minimally Invasive Biopsies of Deep-Seated Brain Lesions Using Tubular Retractors Under Exoscopic Visualization
Authors: Jackson Christina , Gallia Gary , Chaichana Kaisorn 
Published: May 2017

Background and Study Aims/Objective Brain lesions in deep-seated locations can present a surgical challenge. Tissue remains the gold standard for diagnosing these lesions to guide potential adjuvant therapy. These lesions have been traditionally approached by stereotactic needle biopsy, open biopsies through craniotomies, and excisional biopsies. We provide a safe alternative method using tubular retractors under exoscopic visualization for biopsies of deep-seated brain lesions.
Material and Methods All patients who underwent a biopsy with the use of a tubular retractor under exoscopic visualization of a deep-seated lesion from January 2013 to September 2016 were identified prospectively and followed. This was done for patients with lesions where extensive resection was not deemed possible because of eloquent location and/or lack of impact on the natural history of the disease.
Results A total of 11 patients, with an average age (plus or minus standard deviation) of 48.7 ± 18.3 years, underwent biopsies with tubular retractors and exoscopic visualization. The locations included thalamus (n = 3), optic pathway (n = 2), deep cerebellar nuclei (n = 1), centrum semiovale/corpus callosum (n = 4), and multifocal (n = 2). Diagnosis was obtained in all patients: glioblastoma multiforme (n = 3), anaplastic astrocytoma (n = 3), demyelinating disease (n = 2), renal cell cancer (n = 1), and lymphoma (n = 2). In all cases with tumors, the molecular analyses were conducted successfully. On postoperative computed tomography, no patients had notable hematomas and no patients had new deficits.
Conclusion Diagnosing brain lesions is critical for guiding potential adjuvant therapies. When surgical resection is not possible or required, we report the efficacy of a tubular retractor system with exoscopic visualization for the safe access of deep-seated lesions to provide adequate tissue for diagnosis and molecular evaluation.
Acute Hypotension after High-Intensity Interval Exercise in Metabolic Syndrome Patients
Authors: Morales-Palomo Felix , Ramirez-Jimenez Miguel , Ortega Juan , Pallarés Jesús , Mora-Rodriguez Ricardo 
Published: May 2017

AbstractThe purpose of this study was to compare the magnitude of post-exercise hypotension (PEH) after a bout of cycling exercise using high-intensity interval training (HIIT) in comparison to a bout of traditional moderate-intensity continuous exercise (CE). After supine rest 14 obese (31±1 kg·m−2) middle-age (57±2 y) metabolic syndrome patients (50% hypertensive) underwent a bout of HIIT or a bout of CE in a random order and then returned to supine recovery for another 45 min. Exercise trials were isocaloric and compared to a no-exercise trial (CONT) of supine rest for a total of 160 min. Before and after exercise we assessed blood pressure (BP), heart rate (HR), cardiac output (Q), systemic vascular resistance (SVR), intestinal temperature (TINT), forearm skin blood flow (SKBF) and percent dehydration. HIIT produced a larger post-exercise reduction in systolic blood pressure than CE in the hypertensive group (−20±6 vs. −5±3 mmHg) and in the normotensive group (−8±3 vs. −3±2 mmHg) while HIIT reduced SVR below CE (P<0.05). Percent dehydration was larger after HIIT, and post-exercise TINT and SKBF increased only after HIIT (all P<0.05). Our findings suggest that HIIT is a superior exercise method to CE to acutely reduce blood pressure in MSyn subjects.
Accuracy of Cycling Power Meters against a Mathematical Model of Treadmill Cycling
Authors: Maier Thomas , Schmid Lucas , Müller Beat , Steiner Thomas , Wehrlin Jon 
Published: May 2017

AbstractThe aim of this study was to compare the accuracy among a high number of current mobile cycling power meters used by elite and recreational cyclists against a first principle-based mathematical model of treadmill cycling. 54 power meters from 9 manufacturers used by 32 cyclists were calibrated. While the cyclist coasted downhill on a motorised treadmill, a back-pulling system was adjusted to counter the downhill force. The system was then loaded 3 times with 4 different masses while the cyclist pedalled to keep his position. The mean deviation (trueness) to the model and coefficient of variation (precision) were analysed. The mean deviations of the power meters were –0.9±3.2% (mean±SD) with 6 power meters deviating by more than±5%. The coefficients of variation of the power meters were 1.2±0.9% (mean±SD), with Stages varying more than SRM (p<0.001) and PowerTap (p<0.001). In conclusion, current power meters used by elite and recreational cyclists vary considerably in their trueness; precision is generally high but differs between manufacturers. Calibrating and adjusting the trueness of every power meter against a first principle-based reference is advised for accurate measurements.
Prognostic Significance of Spot Urine Na/K for Longitudinal Changes in Blood Pressure and Renal Function: The Nagahama Study
Authors: Tabara Yasuharu , Takahashi Yoshimitsu , Setoh Kazuya , Kawaguchi Takahisa , Kosugi Shinji , Nakayama Takeo , Matsuda Fumihiko ,   the Nagahama Study Group
Published: May 2017

Abstract

BACKGROUND
Urinary sodium-to-potassium ratio (Na/K) represents a simple measure of sodium load and has been reported to be associated with blood pressure (BP) levels in a cross-sectional setting even with spot measurements. The aim of the present large-scale cohort study is to determine prognostic significance of spot urine Na/K for longitudinal changes in BP levels and renal function.

METHODS
The present study population consisted of 7,063 individuals from the general population. Clinical parameters were measured at baseline and at a follow-up interval of 5 years.

RESULTS
Mean systolic BP was slightly increased during the follow-up period (overall, 124 ± 17 to 125 ± 18 mm Hg; nontreated participants, 119 ± 15 to 122 ± 17 mm Hg). Although, the urinary Na/K demonstrated a linear association with BP in a cross-sectional analysis (P &lt; 0.001), analysis of repeated measured BP values identified baseline Na/K * time interaction, i.e., an intraindividual effect, as an inverse determinant (F = 76.9, P &lt; 0.001) independently of hypertension status and fasting conditions possibly due to regression to the mean of temporary high baseline Na/K values at baseline. Spot urine Na/K values were found to be positively associated with renal function in a cross-sectional analysis (P &lt; 0.001). Although baseline Na/K * time interaction showed inverse associated with renal functional decline (F = 85.8, P &lt; 0.001), this inverse association might not represent physiological relationship in likewise fashion with the analysis for BP.

CONCLUSIONS
Spot urine Na/K may have limited utility as a prognostic marker of longitudinal BP change, as well as renal functional decline.
Optimum stable model search: algorithms and implementation
Authors: Alviano Mario , Dodaro Carmine , Marques-Silva Joao , Ricca Francesco 
Published: May 2017

Abstract
Answer Set Programming (ASP) is a well-known declarative problem solving paradigm developed in the field of nonmonotonic reasoning and logic programming. The usual target of ASP is the solution of combinatorial search problems, nonetheless the language of ASP was extended with weak constraints for concise modelling of optimization problems. In the case of ASP programs with weak constraints, the main computational task of an ASP solver is optimum stable model search . In this article, we present and compare several algorithms for optimum stable model search. We consider solutions traditionally adopted by ASP solvers, and we introduce new solving strategies obtained by porting to the ASP setting some algorithms that were introduced for Maximum Satisfiability solving. The article also reports on the implementation of these algorithms in the ASP solver wasp . An empirical analysis highlights pros and cons of different strategies for computing optimum stable models.
An optically-selected cluster catalog at redshift 0.1 &lt; z &lt; 1.1 from the Hyper Suprime-Cam Subaru Strategic Program S16A data
Authors: Oguri Masamune , Lin Yen-Ting , Lin Sheng-Chieh , Nishizawa Atsushi J , More Anupreeta , More Surhud , Hsieh Bau-Ching , Medezinski Elinor , Miyatake Hironao , Jian Hung-Yu , Lin Lihwai , Takada Masahiro , Okabe Nobuhiro , Speagle Joshua S , Coupon Jean , Leauthaud Alexie , Lupton Robert H , Miyazaki Satoshi , Price Paul A , Tanaka Masayuki , Chiu I-Non , Komiyama Yutaka , Okura Yuki , Tanaka Manobu M , Usuda Tomonori 
Published: May 2017

Abstract
We present an optically-selected cluster catalog from the Hyper Suprime-Cam (HSC) Subaru Strategic Program. The HSC images are sufficiently deep to detect cluster member galaxies down to M* ∼ 1010.2 M⊙ even at z ∼ 1, allowing a reliable cluster detection at such high redshifts. We apply the CAMIRA algorithm to the HSC Wide S16A dataset covering ∼232 deg2 to construct a catalog of 1921 clusters at redshift 0.1 &lt; z &lt; 1.1 and richness ${\skew7\hat{N}}_{\rm mem}&gt;15$ that roughly corresponds to M200m ≳ 1014 h−1 M⊙. We confirm good cluster photometric redshift performance, with the bias and the scatter in Δz/(1 + z) being better than 0.005 and 0.01, respectively, over most of the redshift range. We compare our cluster catalog with large X-ray cluster catalogs from the XXL and XMM-LSS (the XMM Large Scale Structure) surveys and find good correlation between richness and X-ray properties.We also study the mis-centering effect from the distribution of offsets between optical and X-ray cluster centers. We confirm the high (&gt;0.9) completeness and purity for high-mass clusters by analyzing mock galaxy catalogs.
Comparative and population genomics landscape ofPhellinus noxius: a hypervariable fungus causing root rot in trees
Authors: Chung Chia-Lin , Lee Tracy J. , Akiba Mitsuteru , Lee Hsin-Han , Kuo Tzu-Hao , Liu Dang , Ke Huei-Mien , Yokoi Toshiro , Roa Marylette B , Lu Meiyeh J , Chang Ya-Yun , Ann Pao-Jen , Tsai Jyh-Nong , Chen Chien-Yu , Tzean Shean-Shong , Ota Yuko , Hattori Tsutomu , Sahashi Norio , Liou Ruey-Fen , Kikuchi Taisei , Tsai Isheng J 
Published: May 2017

AbstractThe order Hymenochaetales of white rot fungi contain some of the most aggressive wood decayers causing tree deaths around the world. Despite their ecological importance and the impact of diseases they cause, little is known about the evolution and transmission patterns of these pathogens. Here, we sequenced and undertook comparative genomics analyses of Hymenochaetales genomes using brown root rot fungusPhellinus noxius, wood-decomposing fungusPhellinus lamaensis, laminated root rot fungusPhellinus sulphurascens, and trunk pathogenPorodaedalea pini. Many gene families of lignin-degrading enzymes were identified from these fungi, reflecting their ability as white rot fungi. Comparing against distant fungi highlighted the expansion of 1,3-beta-glucan synthases inP. noxius, which may account for its fast-growing attribute. We identified 13 linkage groups conserved within Agaricomycetes, suggesting the evolution of stable karyotypes. We determined thatP. noxiushas a bipolar heterothallic mating system, with unusual highly expanded ~60 kbAlocus as a result of accumulating gene transposition. We investigated the population genomics of 60P. noxiusisolates across multiple islands of the Asia Pacific region. Whole-genome sequencing showed this multinucleate species contains abundant poly-allelic single-nucleotide-polymorphisms (SNPs) with atypical allele frequencies. Different patterns of intra-isolate polymorphism reflect mono-/heterokaryotic states which are both prevalent in nature. We have shown two genetically separated lineages with one spanning across many islands despite the geographical barriers. Both populations possess extraordinary genetic diversity and show contrasting evolutionary scenarios. These results provide a framework to further investigate the genetic basis underlying the fitness and virulence of white rot fungi.
Characterization of Copper Complex Nanoparticles synthesized by Plant Polyphenols
Authors: Wang Zhiqiang , An Pengfei 
Published: May 2017

AbstractIn this paper a kind of copper oxide material of copper–polyphenols complex nanoparticles (Cu–P NPs) were synthesized byCinnamomum pedunculatumleaves extract, which have different morphology and appearance compared with usual copper oxides Cu2O and CuO. For better understanding about this material, the Cu–P NPs were characterized using scanning electron microscopy (SEM), X-ray absorption spectroscopy (XAS), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and thermogravimetric analysis (TGA). It was found that synthesized Cu–P NPs were amorphous with spherical particles ranged from 80 to 500 nm. XAS data analysis indicated that the synthesized Cu–P NPs has different molecular structure with Cu2O and CuO. It is assumed that the copper ions chelated with polyphenol molecule. The nanoparticles showed a clear antiEscherichia coliactivity in this study, and may also be used in fields of semiconductor, ceramic, catalyst, and sensor. This synthesis approach provided a novel route to manufacture copper oxide nanomaterial.
A New Big-Data Paradigm for Target Identification and Drug Discovery
Authors: Madhukar Neel S. , Khade Prashant K. , Huang Linda , Gayvert Kaitlyn , Galletti Giuseppe , Stogniew Martin , Allen Joshua E. , Giannakakou Paraskevi , Elemento Olivier 
Published: May 2017

AbstractDrug target identification is one of the most important aspects of pre-clinical development yet it is also among the most complex, labor-intensive, and costly. This represents a major issue, as lack of proper target identification can be detrimental in determining the clinical application of a bioactive small molecule. To improve target identification, we developed BANDIT, a novel paradigm that integrates multiple data types within a Bayesian machine-learning framework to predict the targets and mechanisms for small molecules with unprecedented accuracy and versatility. Using only public data BANDIT achieved an accuracy of approximately 90% over 2000 different small molecules – substantially better than any other published target identification platform. We applied BANDIT to a library of small molecules with no known targets and generated ∼4,000 novel molecule-target predictions. From this set we identified and experimentally validated a set of novel microtubule inhibitors, including three with activity on cancer cells resistant to clinically used anti-microtubule therapies. We next applied BANDIT to ONC201 – an active anti- cancer small molecule in clinical development – whose target has remained elusive since its discovery in 2009. BANDIT identified dopamine receptor 2 as the unexpected target of ONC201, a prediction that we experimentally validated. Not only does this open the door for clinical trials focused on target-based selection of patient populations, but it also represents a novel way to target GPCRs in cancer. Additionally, BANDIT identified previously undocumented connections between approved drugs with disparate indications, shedding light onto previously unexplained clinical observations and suggesting new uses of marketed drugs. Overall, BANDIT represents an efficient and highly accurate platform that can be used as a resource to accelerate drug discovery and direct the clinical application of small molecule therapeutics with improved precision.
Mapping quantitative trait loci underlying circadian light sensitivity inDrosophila
Authors: Adewoye Adeolu B. , Nuzhdin Sergey V. , Tauber Eran 
Published: May 2017

AbstractDespite the significant advance in our understanding of the molecular basis of light entrainment of the circadian clock inDrosophila, the underlying genetic architecture is still largely unknown. The aim of this study was to identify loci associated with variation in circadian photosensitivity, which are important for the evolution of this trait. We have used complementary approaches that combined quantitative trait loci (QTL) mapping, complementation testing and transcriptome profiling to dissect this variation.We identified a major QTL on chromosome 2, which was subsequently fine-mapped using deficiency complementation mapping into two smaller regions spanning 139 genes, some of which are known to be involved in functions which have been previously implicated in light entrainment. Two genes implicated with the clock and located within that interval,timelessandcycle, failed to complement the QTL, indicating that alleles of these genes contribute to the variation in light response. Specifically, we find that thetimelesss/lspolymorphism that has been previously shown to constitute a latitudinal cline in Europe, is also segregating in our recombinant inbred lines, and is contributing to the phenotypic variation in light sensitivity.We have also profiled gene expression in two recombinant inbred strains that differ significantly in their photosensitivity, and identified a total of 368 transcripts that showed differential expression (FDR < 0.1). Out of 131 transcripts that showed a significant RIL by treatment interaction (i.e. putative expression QTL), four are located within QTL2
Nutrition and economic growth in sub-Saharan Africa: a causality test using panel data
Authors: Ogundari Kolawole , Aromolaran Adebayo 
Published: May 2017

Purpose
This study aims to investigate the causal relationship between nutrition and economic growth in sub-Saharan Africa.

Design/methodology/approach
A dynamic panel causality test based on the Blundell-Bond’s system generalized methods-of-moment was used. To make efficient inference for the estimates, the authors check for the panel unit root and co-integration relationship amongst the variables.

Findings
The variables were found to be non-stationary at level, stationary after first difference and co-integrated. The results of the causality tests reveal evidence of long and short-run bidirectional causality between nutrition and economic growth, which implies that nutritional improvement is a cause and consequence of economic growth and vice versa.

Originality/value
This is the first study to consider causality between nutrition and economic growth in the region.