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#33096556   2020/10/23 To Up

Associations of human milk oligosaccharides and bioactive proteins with infant growth and development among Malawian mother-infant dyads.

Human milk oligosaccharides (HMOs) and bioactive breast milk proteins have many beneficial properties. Information is sparse regarding associations between these milk constituents and infant growth and development in lower-income countries.
Josh M Jorgensen, Rebecca Young, Per Ashorn, Ulla Ashorn, David Chaima, Jasmine C C Davis, Elisha Goonatilleke, Chiza Kumwenda, Carlito B Lebrilla, Kenneth Maleta, Elizabeth L Prado, John Sadalaki, Sarah M Totten, Lauren D Wu, Angela M Zivkovic, Kathryn G Dewey

1307 related Products with: Associations of human milk oligosaccharides and bioactive proteins with infant growth and development among Malawian mother-infant dyads.

100ul200 1000 0.1 mg1 ml1mg1mg225.00 ug10

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#33096555   2020/10/22 To Up

New distribution record of Anopheles rivulorum-like from Sadiola, Mali, with notes on malaria vector insecticide resistance.

The SEMOS gold mine in Sadiola, southwestern Mali, has been implementing a malaria vector control programme for 15 y using indoor residual house spraying and sporadic larval control. Periodic screening of the vector populations have been carried out over the years to provide information to the control programme, mainly on vector species present and their insecticide resistance status. The data from five entomological surveys, carried out in 2006, 2011, 2014, 2016 and 2018, are presented.
Sue-Ellen Wragge, Nelius Venter, Dramane Touré, Richard H Hunt, Maureen Coetzee

1426 related Products with: New distribution record of Anopheles rivulorum-like from Sadiola, Mali, with notes on malaria vector insecticide resistance.



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#33096554   2020/10/22 To Up

A Whole-Diet Approach Affects Not Only Fasting but Also Postprandial Cardiometabolic Risk Markers in Overweight and Obese Adults: A Randomized Controlled Trial.

Current dietary recommendations for cardiovascular disease (CVD) prevention focus more on dietary patterns than on single nutrients. However, randomized controlled trials using whole-diet approaches to study effects on both fasting and postprandial CVD risk markers are limited.
Eva Fechner, Lena Bilet, Harry P F Peters, Patrick Schrauwen, Ronald P Mensink

1161 related Products with: A Whole-Diet Approach Affects Not Only Fasting but Also Postprandial Cardiometabolic Risk Markers in Overweight and Obese Adults: A Randomized Controlled Trial.

100 μg 25 G 100 G100 μg25 mg25 mg100 μg1 mg1 Set

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#33096548   2020/10/24 To Up

Predicting enhancer-promoter interactions by deep learning and matching heuristic.

Enhancer-promoter interactions (EPIs) play an important role in transcriptional regulation. Recently, machine learning-based methods have been widely used in the genome-scale identification of EPIs due to their promising predictive performance. In this paper, we propose a novel method, termed EPI-DLMH, for predicting EPIs with the use of DNA sequences only. EPI-DLMH consists of three major steps. First, a two-layer convolutional neural network is used to learn local features, and an bidirectional gated recurrent unit network is used to capture long-range dependencies on the sequences of promoters and enhancers. Second, an attention mechanism is used for focusing on relatively important features. Finally, a matching heuristic mechanism is introduced for the exploration of the interaction between enhancers and promoters. We use benchmark datasets in evaluating and comparing the proposed method with existing methods. Comparative results show that our model is superior to currently existing models in multiple cell lines. Specifically, we found that the matching heuristic mechanism introduced into the proposed model mainly contributes to the improvement of performance in terms of overall accuracy. Additionally, compared with existing models, our model is more efficient with regard to computational speed.
Xiaoping Min, Congmin Ye, Xiangrong Liu, Xiangxiang Zeng

1840 related Products with: Predicting enhancer-promoter interactions by deep learning and matching heuristic.

50 ug 1 mg 30 ml 1,000 tests200ug100ug5mg25 mg100 ul

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#33096539   2020/10/23 To Up

Electrically tunable graphene metamaterial with strong broadband absorption.

The coupling system with dynamic manipulation characteristics is of great importance for the field of active plasmonics and tunable metamaterials. However, the traditional metal-based architectures suffer from a lack of electrical tunability. In this study, a metamaterial composed of perpendicular or parallel graphene-Al2O3-graphene stacks is proposed and demonstrated, which allows for the electric modulation of both graphene layers simultaneously. The resultant absorption of hybridized modes can be modulated to more than 50% by applying an external voltage, and the absorption bandwidth can reach 3.55 m, which is 1.7 times enhanced than the counterpart of single-layer graphene. The modeling results demonstrate that the small relaxation time of graphene is of great importance to realize the broadband absorption. Moreover, the optical behaviors of the tunable metamaterial can be influenced by the incident polarization, the dielectric thickness, and especially by the Fermi energy of graphene. This work is of a crucial role in the design and fabrication of graphene-based broadband optical and optoelectronic devices.
Wei Yao, Linlong Tang, Jinpeng Nong, Jun Wang, Jun Yang, Yadong Jiang, Haofei Shi, Xingzhan Wei

2589 related Products with: Electrically tunable graphene metamaterial with strong broadband absorption.

1 kit

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#33096533   2020/10/23 To Up

Back to the future: surgical rehearsal platform technology as a means to improve surgeon-patient alliance, patient satisfaction, and resident experience.

Informed consent, when performed appropriately, serves many roles beyond simply obtaining the prerequisite medicolegal paperwork to perform a surgery. Prior studies have suggested that patient understanding is poor when verbal communication is the sole means of education. Virtual reality platforms have proven effective in enhancing medical education. No studies exist that have demonstrated the utility of virtual reality-facilitated informed consent (VR-IC) in improving the physician-patient alliance. The aim of this study was to determine the utility of VR-IC among patients providing consent for surgery and the impact of this educational and information technology-based strategy on enhancing the physician-patient alliance, patient satisfaction, and resident-physician perception of the consent process.
James M Wright, Alankrita Raghavan, Christina H Wright, Berje Shammassian, Yifei Duan, Martha Sajatovic, Warren R Selman

2158 related Products with: Back to the future: surgical rehearsal platform technology as a means to improve surgeon-patient alliance, patient satisfaction, and resident experience.

1 kit1 kit(96 Wells)100 assays1 kit(96 Wells)1 kit(96 Wells)1 kit1 kit(96 Wells)100 assays1 kit(96 Wells)1 kit(96 Wells)

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#33096528   2020/10/23 To Up

Traumatic axonal injury on clinical MRI: association with the Glasgow Coma Scale score at scene of injury or at admission and prolonged posttraumatic amnesia.

The aim in this study was to investigate if MRI findings of traumatic axonal injury (TAI) after traumatic brain injury (TBI) are related to the admission Glasgow Coma Scale (GCS) score and prolonged duration of posttraumatic amnesia (PTA).
Hans Kristian Moe, Turid Follestad, Nada Andelic, Asta Kristine Håberg, Anne-Mari Holte Flusund, Kjell Arne Kvistad, Elin Hildrum Saksvoll, Øystein Olsen, Sebastian Abel-Grüner, Oddrun Sandrød, Toril Skandsen, Anne Vik, Kent Gøran Moen

2637 related Products with: Traumatic axonal injury on clinical MRI: association with the Glasgow Coma Scale score at scene of injury or at admission and prolonged posttraumatic amnesia.

10reactions 100ug Lyophilized100 μg100ug20 ul1 Set1 mg250 ul100ug100ul

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#33096519   2020/10/10 To Up

A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data.

The detection and pathogenic factors analysis of Parkinson's disease (PD) has a practical significance for its diagnosis and treatment. However, the traditional research paradigms are commonly based on single neural imaging data, which is easy to ignore the complementarity between multimodal imaging genetics data. The existing researches also pay little attention to the comprehensive framework of patient detection and pathogenic factors analysis for PD. Based on functional magnetic resonance imaging (fMRI) data and single nucleotide polymorphism (SNP) data, a novel brain disease multimodal data analysis model is proposed in this paper. Firstly, according to the complementarity between the two types of data, the classical correlation analysis method is used to construct the fusion feature of subjects. Secondly, based on the artificial neural network, the fusion feature analysis tool named clustering evolutionary random neural network ensemble (CERNNE) is designed. This method integrates multiple neural networks constructed randomly, and uses clustering evolution strategy to optimize the ensemble learner by adaptive selective integration, selecting the discriminative features for PD analysis and ensuring the generalization performance of the ensemble model. By combining with data fusion scheme, the CERNNE is applied to forming a multi-task analysis framework, recognizing PD patients and predicting PD-associated brain regions and genes. In the multimodal data experiment, the proposed framework shows better classification performance and pathogenic factors predicting ability, which provides a new perspective for the diagnosis of PD.
Xia-An Bi, Xi Hu, Yiming Xie, Hao Wu

2834 related Products with: A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data.

96 tests96 tests50ug 96 tests 50 UG96 tests

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#33096511   2020/10/10 To Up

Spatial variability in prevalence and genospecies distributions of Borrelia burgdorferi sensu lato from ixodid ticks collected in southern Germany.

Lyme borreliosis (LB) is the most common arthropod-borne disease in Europe and North America and is caused by members of the Borrelia burgdorferi sensu lato (Bbsl) species complex. These bacteria are transmitted by ixodid tick vectors and therefore human LB risk is influenced by the prevalence and distribution of Bbsl genospecies within tick vectors throughout the wild. These distributions can easily change over spatiotemporal scales and, to understand LB risk fully, up to date information on prevalence and distribution of Bbsl is required. The last survey of Bbsl in southern Germany, including parts of the Munich metropolitan area, was completed in 2006 and new data is needed. Ixodid ticks were collected in seven plots located in and around Munich, Germany, from March to July 2019 and were screened for Bbsl. Borrelia burgdorferi s. l. positive ticks (52 adults, 158 nymphs) were found in all plots and adults (0-61.5 % Bbsl positive/plot) and nymphs (17.4-59.5 % Bbsl positive/plot) did not differ significantly in their overall Bbsl prevalence. The number of Bbsl positive nymphs did vary significantly between plots but the number of positive adults did not. In total, six Bbsl genospecies were located with B. afzelii and B. garinii dominating. Additionally, the relapsing-fever species B. miyamotoi was found in two sampling plots. Our results highlight the variability in Bbsl prevalence and genospecies distribution over short geographic distances and aid in understanding LB risk in and around the Munich metropolitan area.
Robert E Rollins, Zehra Yeyin, Maja Wyczanska, Nikolas Alig, Sabrina Hepner, Volker Fingerle, Gabriele Margos, Noémie S Becker

2592 related Products with: Spatial variability in prevalence and genospecies distributions of Borrelia burgdorferi sensu lato from ixodid ticks collected in southern Germany.

0.5 mg0.5 mg5mg100 μg100 μg100ug100 μg25 g100ug

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