104 research outputs found
Creating Value for Sustainability by Transforming the Food Well-being Paradigm—Alternative New Food Product Development
Due to supply chain disruptions and sourcing uncertainties, multinational and large food manufacturers, retailers and suppliers are investing in New Food Product Development (NFPD) to add value and differentiate themselves from homogeneous food markets. However, for start-up food companies, especially in the NFPD field and within marketing research, this is difficult to do. This article’s aim is to analyse a microalgae milk pioneer and proteinalternative food technology company, its emerging NFPD, and its focused values, highlighting the differences with prior evolutions. A design science methodology and case study are applied. The findings show that technologydriven NFPD, with an integrative process, is promising. Moreover, a diversified and plant-based NFPD is encouraged as it creates sustainability values for consumer well-being by enhancing food technology and business performance. This study contributes to the NFPD literature and marketing research by improving current understandings of how to implement sustainability through technological breakthroughs and innovation in the NFPD process. In addition, it makes a methodological contribution by means of demonstrating how design science can help researchers think outside the box and create practical research to provide valuable solutions. Finally, this is the first study to use design science guidelines to create the NFPD value chain framework.</p
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
We present PyMAF-X, a regression-based approach to recovering a full-body
parametric model from a single image. This task is very challenging since minor
parametric deviation may lead to noticeable misalignment between the estimated
mesh and the input image. Moreover, when integrating part-specific estimations
to the full-body model, existing solutions tend to either degrade the alignment
or produce unnatural wrist poses. To address these issues, we propose a
Pyramidal Mesh Alignment Feedback (PyMAF) loop in our regression network for
well-aligned human mesh recovery and extend it as PyMAF-X for the recovery of
expressive full-body models. The core idea of PyMAF is to leverage a feature
pyramid and rectify the predicted parameters explicitly based on the mesh-image
alignment status. Specifically, given the currently predicted parameters,
mesh-aligned evidence will be extracted from finer-resolution features
accordingly and fed back for parameter rectification. To enhance the alignment
perception, an auxiliary dense supervision is employed to provide mesh-image
correspondence guidance while spatial alignment attention is introduced to
enable the awareness of the global contexts for our network. When extending
PyMAF for full-body mesh recovery, an adaptive integration strategy is proposed
in PyMAF-X to produce natural wrist poses while maintaining the well-aligned
performance of the part-specific estimations. The efficacy of our approach is
validated on several benchmark datasets for body-only and full-body mesh
recovery, where PyMAF and PyMAF-X effectively improve the mesh-image alignment
and achieve new state-of-the-art results. The project page with code and video
results can be found at https://www.liuyebin.com/pymaf-x.Comment: An eXpressive extension of PyMAF [arXiv:2103.16507], Supporting
SMPL-X, Project page: https://www.liuyebin.com/pymaf-
Achieving ultrahigh energy storage density in super relaxor BCZT-based lead-free capacitors through multiphase coexistence
Dielectric capacitors own great potential in next-generation energy storage devices for their fast charge-discharge time, while low energy storage capacity limits their commercialization. Enormous lead-free ferroelectric ceramic capacitor systems have been reported in recent decades, and energy storage density has increased rapidly. By comparing with some ceramic systems with fashioned materials or techniques, which lacks repeatability, as reported latterly, we proposed a unique but straightforward way to boost the energy storage capacity in a modified conventional ferroelectric system. Through stoichiometric ratio regulation, the coexistence of the C-phase and T-phase was obtained in 0.85(Ba1-xCax)(ZryTi1-y)O3-0.15BiSmO3-2 wt. % MnO ceramics with x = 0.1 and y = 0.15 under the proof of the combination of Rietveld XRD refinement and transmission electron microscope measurement. The Wrec of 3.90 J/cm3, an excellent value for BCZT-based ceramic at the present stage, was obtained because of the co-contribution of the optimization of electric field distribution and the additional interfacial polarization triggered at the higher electric fields. The finite element simulation and physical deduction, which fits very well with our experimental result, were also performed. As to the practical application, stable performance in a long-time cycle and frequency stability was obtained, and excellent discharge behaviors were also achieved.</p
The honeysuckle genome provides insight into the molecular mechanism of carotenoid metabolism underlying dynamic flower coloration
Lonicera japonica is a wide-spread member of the Caprifoliaceae (honeysuckle) family utilized in traditional medical practices. This twining vine honeysuckle is also a much-sought ornamental, in part due to its dynamic flower coloration, which changes from white to gold during development. The molecular mechanism underlying dynamic flower coloration in L. japonica was elucidated by integrating whole genome sequencing, transcriptomic analysis, and biochemical assays. Here, we report a chromosome-level genome assembly of L. japonica, comprising nine pseudo-chromosomes with a total size of 843.2 Mb. We also provide evidence for a whole genome duplication event in the lineage leading to L. japonica, which occurred after its divergence from Dipsacales and Asterales. Moreover, gene expression analysis not only revealed correlated expression of the relevant biosynthetic genes with carotenoid accumulation, but also suggested a role for carotenoid degradation in L. japonica's dynamic flower coloration. The variation of flower color is consistent with not only the observed carotenoid accumulation pattern, but also with the release of volatile apocarotenoids that presumably serve as pollinator attractants. Beyond novel insights into the evolution and dynamics of flower coloration, the high-quality L. japonica genome sequence also provides a foundation for molecular breeding to improve desired characteristics
An unresectable and metastatic intrahepatic cholangiocarcinoma with EML4-ALK rearrangement achieving partial response after first-line treatment with ensartinib: a case report
Systemic chemotherapies are the primary treatment options for patients with unresectable and metastatic intrahepatic cholangiocarcinoma (ICC), but the effectiveness of current systemic therapies is limited. The development of targeted-therapy has changed the treatment landscape of ICC, and comprehensive genome sequencing of advanced cholangiocarcinoma patients could be beneficial to identify potential targets to guide individualized treatment. Herein, we reported an unresectable and metastatic ICC patient who detected EML4-ALK rearrangement in peripheral blood, which was later confirmed on tissue-based testing, and achieved partial response (PR) after first-line treatment with ensartinib. This case suggests that the liquid biopsy is of clinical value for unresectable or metastatic ICC, and the discovery of rare molecular targets provides new therapeutically approaches for advanced ICC patients
The honeysuckle genome provides insight into the molecular mechanism of carotenoid metabolism underlying dynamic flower coloration
Lonicera japonica is a wide-spread member of the Caprifoliaceae (honeysuckle) family utilized in traditional medical practices. This twining vine honeysuckle is also a much-sought ornamental, in part due to its dynamic flower coloration, which changes from white to gold during development.
The molecular mechanism underlying dynamic flower coloration in L. japonica was elucidated by integrating whole genome sequencing, transcriptomic analysis, and biochemical assays.
Here, we report a chromosome-level genome assembly of L. japonica, comprising nine pseudochromosomes with a total size of 843.2 Mb. We also provide evidence for a whole genome duplication event in the lineage leading to L. japonica, which occurred after its divergence from Dipsacales and Asterales. Moreover, gene expression analysis not only revealed correlated expression of the relevant biosynthetic genes with carotenoid accumulation, but also suggested a role for carotenoid degradation in L. japonica’s dynamic flower coloration. The variation of flower color is consistent with not only the observed carotenoid accumulation pattern, but also with the release of volatile apocarotenoids that presumably serve as pollinator attractants.
Beyond novel insights into the evolution and dynamics of flower coloration, the high-quality L. japonica genome sequence also provides a foundation for molecular breeding to improve desired characteristics
Genome Sequencing of the Sweetpotato Whitefly \u3cem\u3eBemisia tabaci\u3c/em\u3e MED/Q
The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental crop pest. It damages host plants through both phloem feeding and vectoring plant pathogens. Introductions of B. tabaci are difficult to quarantine and eradicate because of its high reproductive rates, broad host plant range, and insecticide resistance. A total of 791 Gb of raw DNA sequence from whole genome shotgun sequencing, and 13 BAC pooling libraries were generated by Illumina sequencing using different combinations of mate-pair and pair-end libraries. Assembly gave a final genome with a scaffold N50 of 437 kb, and a total length of 658 Mb. Annotation of repetitive elements and coding regions resulted in 265.0 Mb TEs (40.3%) and 20 786 protein-coding genes with putative gene family expansions, respectively. Phylogenetic analysis based on orthologs across 14 arthropod taxa suggested that MED/Q is clustered into a hemipteran clade containing A. pisum and is a sister lineage to a clade containing both R. prolixus and N. lugens. Genome completeness, as estimated using the CEGMA and Benchmarking Universal Single-Copy Orthologs pipelines, reached 96% and 79%. These MED/Q genomic resources lay a foundation for future \u27pan-genomic\u27 comparisons of invasive vs. noninvasive, invasive vs. invasive, and native vs. exotic Bemisia, which, in return, will open up new avenues of investigation into whitefly biology, evolution, and management
The Metallic State in Neutral Radical Conductors: Dimensionality, Pressure and Multiple Orbital Effects
Pressure-induced changes in the solid-state structures and transport properties of three oxobenzene-bridged bisdithiazolyl radicals 2 (R = H, F, Ph) over the range 0–15 GPa are described. All three materials experience compression of their π-stacked architecture, be it (i) 1D ABABAB π-stack (R = Ph), (ii) quasi-1D slipped π-stack (R = H), or (iii) 2D brick-wall π-stack (R = F). While R = H undergoes two structural phase transitions, neither of R = F, Ph display any phase change. All three radicals order as spin-canted antiferromagnets, but spin-canted ordering is lost at pressures <1.5 GPa. At room temperature, their electrical conductivity increases rapidly with pressure, and the thermal activation energy for conduction Eact is eliminated at pressures ranging from ∼3 GPa for R = F to ∼12 GPa for R = Ph, heralding formation of a highly correlated (or bad) metallic state. For R = F, H the pressure-induced Mott insulator to metal conversion has been tracked by measurements of optical conductivity at ambient temperature and electrical resistivity at low temperature. For R = F compression to 6.2 GPa leads to a quasiquadratic temperature dependence of the resistivity over the range 5–300 K, consistent with formation of a 2D Fermi liquid state. DFT band structure calculations suggest that the ease of metallization of these radicals can be ascribed to their multiorbital character. Mixing and overlap of SOMO- and LUMO-based bands affords an increased kinetic energy stabilization of the metallic state relative to a single SOMO-based band system
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