274 research outputs found
Single-cell transcriptomic profiling of goat milk somatic cells highlights immune heterogeneity and epithelial cell-related networks
No full textThe global goat milk market has expanded rapidly, driven by its reputed hypoallergenic properties and associated health benefits. Here we present the first single-cell RNA sequencing (scRNA-seq) atlas of somatic cells in mid-lactation Saanen goat milk, revealing cellular heterogeneity and immune-regulatory mechanisms. Analysis of 7276 high-quality cells from five biological replicates revealed seven populations: myofibroblasts, dendritic cells (DCs), epithelial cells (EPCs), monocytes, bone marrow-derived progenitor cells, neutrophils, and T cells. The proportion of EPCs varied markedly between individuals (23.18 %–94.09 %, p = 0.0295) and was positively correlated with somatic cell count (R = 0.6087, based on five biological replicates), suggesting a moderate association. Pseudotime analysis revealed two differentiation trajectories: high-epithelial samples (HPG; >80 % EPCs) were dominated by immune-cell- dominated, whereas low-epithelial samples (LPG; <60 % EPCs) primarily exhibited epithelial differentiation. Cell-cell communication analyses showed distinct signaling: SELL/CXCL-mediated immune pathways were activated in HPG, while TGF-β/SPP1 signaling—linked to cell migration and immune suppression—was upregulated in LPG. A total of 214 differentially expressed genes (DEGs) were identified. Pro-inflammatory factors, such as SAA and PAEP, were enriched in HPG, whereas anti-inflammatory markers, including SERPIN B3 and C3, were elevated in LPG. Notably, casein genes (CSN1S2, CSN2, CSN3) were markedly upregulated in immune cells of HPG (T cells, monocytes and DCs). In conclusion, this work unveils a key cellular biomarker for milk quality, which is expected to guide the dairy industry towards producing safer and hypoallergenic goat milk products
SANTOS Benchmark for Table Union Search
No full textThis record contains the datasets released with SIGMOD 2023 paper entitled "SANTOS: Relationship-based Semantic Table Union Search". We release two new tabular benchmarks to evaluate the table union search problem over the data lakes. Furthermore, we also release relabeled ground truth for an existing TUS benchmark by taking the binary relationship between the columns into account. Please visit our paper for further details.
If you use our dataset for your work, please cite our paper as:
Aamod Khatiwada, Grace Fan, Roee Shraga, Zixuan Chen, Wolfgang Gatterbauer, Renée J. Miller, and Mirek
Riedewald. 2023. SANTOS: Relationship-based Semantic Table Union Search. SIGMOD Conference 2023, ACM
@inproceedings{2023khatiwadasantos,
title = {SANTOS: Relationship-based Semantic Table Union Search},
author={Khatiwada, Aamod and Fan, Grace and Shraga, Roee and Chen, Zixuan and Gatterbauer, Wolfgang and Miller, Ren{\'e}e J and Riedewald, Mirek},
year = {2023},
publisher = {ACM},
booktitle = {SIGMOD Conference 2023},
}
You can find SANTOS implementation at: https://github.com/northeastern-datalab/santos
You can find the original TUS benchmark at: https://github.com/RJMillerLab/table-union-search-benchmark
Abstract: Existing techniques for unionable table search define unionability using metadata (tables must have the same or similar schemas) or column-based metrics (for example, the values in a table should be drawn from the same domain). In this work, we introduce the use of semantic relationships between pairs of columns in a table to improve the accuracy of union search. Consequently, we introduce a new notion of unionability that considers relationships between columns, together with the semantics of columns, in a principled way. To do so, we present two new methods to discover semantic relationship between pairs of columns: The first uses an existing knowledge base (KB), the second (which we call a “synthesized KB”) uses knowledge from the data lake itself. We adopt an existing Table Union Search benchmark and present new (open) benchmarks that represent small and large real data lakes. We show that our new unionability search algorithm called SANTOS outperforms a state-of-the-art union search that uses a wide variety of column-based semantics, including word embeddings and regular expressions. We show empirically in all benchmarks that our synthesized KB improves the accuracy of union search by representing relationship semantics that may not be contained in an available KB. This result hints at a promising future of creating a synthesized KBs from data lakes with limited KB coverage and using them for union search
Andeta
No full textAndeta is an interactive novel created to explore the proper balance between story depth and player freedom when gamifying fiction. By putting the reader inside of a short story and letting the reader decide how they want to act when presented with various situations, Andeta changes and reacts accordingly to the reader’s decisions
Bayesian Deep Learning for Distilling Physical Laws from Videos
No full textAn end-to-end framework is developed to discover physical laws directly from videos, which can help facilitate the study on robust prediction, system stability analysis and gain the physical insight of a dynamic process. In this work, a video information extraction module is proposed to detect and collect the pixel position of moving objects, which would be further transformed into physical states we care about. A physical law discovery module is developed to learn closed-form expressions based on the extracted physical information. The video information extraction module takes advantage of contour detection and Hough transformation to extract position information. The physical law discovery module includes a deep neural network-like hierarchical structure Mathematical Operation Network (MathONet) which is consisted of basic mathematical operations. We develop a sparse Bayesian learning algorithm to learn both the topology and parameters of dynamic systems. Several simulated videos were generated to illustrate Newton’s law of motion, the state space of a Duffing oscillator, and the pendulum motion equation. By demonstrating on these examples, our method can discover the corresponding governing function without requiring much prior information.Mechanical Engineering | Vehicle Engineering | Cognitive Robotic
Research on the Design of Museum Cultural and Creative Products under the background of new cultural and Creative culture
No full textThis paper discusses the design of museum cultural and creative products under the background of new cultural and creative culture. Through the interpretation of related concepts of new cultural and creative products, from the aspects of its content and products combined with the current development of museum cultural and creative products, summed up the design principles of museum cultural and creative products. While interpreting the relevant design principles, this paper designs cultural and creative products by combining the cultural relics collected by several museums in Hubei Province, and provides feasible and constructive ideas and methods for the design of cultural and creative products in museums by combining theory with practice
Research on the Design of Museum Cultural and Creative Products under the background of new cultural and Creative culture
No full textThis paper discusses the design of museum cultural and creative products under the background of new cultural and creative culture. Through the interpretation of related concepts of new cultural and creative products, from the aspects of its content and products combined with the current development of museum cultural and creative products, summed up the design principles of museum cultural and creative products. While interpreting the relevant design principles, this paper designs cultural and creative products by combining the cultural relics collected by several museums in Hubei Province, and provides feasible and constructive ideas and methods for the design of cultural and creative products in museums by combining theory with practice
The temporary and typological potential for new interaction and publicness
No full textAs a portable typology, pop-up stores appeared in China in 2006 and quickly spread to increase opportunities for meeting up and growing fashion and brand activities. Most are located in the interior of shopping centres or on streets with retail shops. However, they are generally not considered as public spaces or as positive urban elements. Residents and urban agencies are inclined to perceive them to be temporary and purely functional places that serve commercial interests and lack social and spatial possibilities. This research, first, aims to provide a classification of the typologies of pop-up stores through a literature review and a field survey in Shanghai. Through the observation and documentation of people's behaviours in selected pop-up stores, the research explores whether such shops’ temporality, their limitations regarding times of operation, and their spatial configurations have affected people's interactions and activities. We argue that they concurrently offers a new sense of publicness among people immersing themselves in these spaces and places inside and outside pop-up stores depending on their location. In addition, it innovates and advances the understanding of these portable commercial areas by considering their social dimensions and relation to the larger context. This research further investigates how the temporality and flexible needs of the spaces have influenced their design. By studying Shanghai's pop-up stores as representational, the study aims to shed light on the design strategies of retail pop-up stores to strengthen the positive impact of new publicness brought by such innovative temporary public spaces
Chování spotřebitelů na trhu s nápoji bez cukru v Číně
No full textNápoje bez cukru se v Číně v posledních letech staly velmi populárními, ale výzkum spotřebitelů nápojů bez cukru je zatím nedostatečný. Hlavním cílem tohoto výzkumu je identifikovat faktory, které ovlivňují spotřebu nápojů bez cukru čínskými spotřebiteli nealkoholických nápojů, a segmentovat tyto spotřebitele, zjistit různé charakteristiky postojů a chování těchto skupin spotřebitelů. Tento výzkum byl proveden kvantitativní metodou dotazníku a kvalitativní metodou prostřednictvím online diskuse ve fokusní skupině. Autor použil k segmentaci těchto spotřebitelů shlukovou analýzu a rozdělil je do 4 shluků, kterými jsou: 1. Spotřebitelé, kteří se zabývají spotřebou potravin: "Mega citiers", "Millennials", "Sink users" a "Elders". Autor podrobně analyzuje postoje a charakteristiky jednotlivých skupin spotřebitelů vůči nápojům bez cukru, aby poskytl příslušným korporacím několik užitečných referencí, jak podle různých zákaznických shluků vyvinout odlišný marketingový mix, který jim umožní získat maximální spotřebitelský přebytek.Sugar-free beverage have become very popular in China in recent years, but there is a gap in research on consumers of sugar-free beverage. The main objective of this research is to identify the factors that influence the consumption of sugar-free beverages by Chinese soft beverage consumers and segment these consumers, find out the different characteristics of the attitudes and behaviours of these consumer groups. This research was done through the quantitative method of a questionnaire and the qualitative method through an online focus group discussion. The author used cluster analysis to segment these consumers and divided them into 4 clusters, which are: “Mega citiers”, “Millennials”, “Sink users” and “Elders”. The author analyzes in detail the attitudes and characteristics of each group of consumers towards sugar-free beverages to provide some useful references for the relevant corporations, according to different customer clusters to develop a different marketing mix, enabling them to capture the maximum consumer surplus
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
No full textSparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the High-Order, High-Dimension, and Sparse Tensor (HOHDST). However, existing STD algorithms face the problem of intermediate variables explosion which results from the fact that the formation of those variables, i.e., matrices Khatri-Rao product, Kronecker product, and matrix-matrix multiplication, follows the whole elements in sparse tensor. The above problems prevent deep fusion of efficient computation and big data platforms. To overcome the bottleneck, a novel stochastic optimization strategy (SGD__Tucker) is proposed for STD which can automatically divide the high-dimension intermediate variables into small batches of intermediate matrices. Specifically, SGD__Tucker only follows the randomly selected small samples rather than the whole elements, while maintaining the overall accuracy and convergence rate. In practice, SGD__Tucker features the two distinct advancements over the state of the art. First, SGD__Tucker can prune the communication overhead for the core tensor in distributed settings. Second, the low data-dependence of SGD__Tucker enables fine-grained parallelization, which makes SGD__Tucker obtaining lower computational overheads with the same accuracy. Experimental results show that SGD__Tucker runs at least 2XX faster than the state of the art. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Data-Intensive System
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