Transformation (genetics) ≈ Transformation (genetics)
View article: A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations Open
This paper presents SimCLR: a simple framework for contrastive learning of visual representations. We simplify recently proposed contrastive self-supervised learning algorithms without requiring specialized architectures or a memory bank. …
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Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties Open
The use of machine learning methods for accelerating the design of crystalline materials usually requires manually constructed feature vectors or complex transformation of atom coordinates to input the crystal structure, which either const…
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A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change Open
In this article we provide a systematic review of the extensive yet diverse and fragmented literature on digital transformation (DT), with the goal of clarifying boundary conditions to investigate the phenomenon from the perspective of org…
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Defining digital transformation: Results from expert interviews Open
Digital transformation approaches outside the public sector are changing citizens' expectations of governments' ability to deliver high-value, real-time digital services. In response to the changing expectations and triggered by supranatio…
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FiLM: Visual Reasoning with a General Conditioning Layer Open
We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning inf…
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Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning Open
Significance Motion-sensor cameras in natural habitats offer the opportunity to inexpensively and unobtrusively gather vast amounts of data on animals in the wild. A key obstacle to harnessing their potential is the great cost of having hu…
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Digital Transformation: An Overview of the Current State of the Art of Research Open
The increasing digitalization of economies has highlighted the importance of digital transformation and how it can help businesses stay competitive in the market. However, disruptive changes not only occur at the company level; they also h…
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Options for Formulating a Digital Transformation Strategy Open
CIOs and other senior executives face the challenge of how to handle the opportunities and risks of digital transformation. To help managers address this challenge more systematically, we describe how three German media companies successfu…
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How Big Old Companies Navigate Digital Transformation Open
Elements of Successful Digital Transformation1 2New digital technologies, particularly what we refer to as SMACIT 3 (social, mobile, analytics, cloud and Internet of things [IoT]) technologies, present both game-changing opportunities and …
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Chemical transformation of xenobiotics by the human gut microbiota Open
One person's meat is another's poison The human gut is packed with actively metabolizing microorganisms. These have a transformative effect on what we ingest—whether food, drugs, or pollutants. Koppel et al. review the distinguishing featu…
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Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model Open
http://raptorx.uchicago.edu/ContactMap/.
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution Open
We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neural networks using a \emph{per-pixel} loss between the outp…
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Catalytic Effects in Lithium–Sulfur Batteries: Promoted Sulfur Transformation and Reduced Shuttle Effect Open
Lithium–sulfur (Li–S) battery has emerged as one of the most promising next‐generation energy‐storage systems. However, the shuttle effect greatly reduces the battery cycle life and sulfur utilization, which is great deterrent to its pract…
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Improving your data transformations: Applying the Box-Cox transformation Open
Many of us in the social sciences deal with data that do not conform to assumptions of normality and/or homoscedasticity/homogeneity of variance. Some research has shown that parametric tests (e.g., multiple regression, ANOVA) can be robus…
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Morphogenic Regulators <i>Baby boom</i> and <i>Wuschel</i> Improve Monocot Transformation Open
While transformation of the major monocot crops is currently possible, the process typically remains confined to one or two genotypes per species, often with poor agronomics, and efficiencies that place these methods beyond the reach of mo…
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Deep bilateral learning for real-time image enhancement Open
Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new…
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Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units Open
We propose the Gaussian Error Linear Unit (GELU), a high-performing neural network activation function. The GELU nonlinearity is the expected transformation of a stochastic regularizer which randomly applies the identity or zero map, combi…
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Digital transformation in healthcare: Analyzing the current state-of-research Open
Digital transformation in healthcare is of increasing relevance for both scholars and practitioners in the field. Our article attempts to assess the research question how multiple stakeholders implement digital technologies for management …
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Advancing Crop Transformation in the Era of Genome Editing Open
Plant transformation has enabled fundamental insights into plant biology and revolutionized commercial agriculture. Unfortunately, for most crops, transformation and regeneration remain arduous even after more than 30 years of technologica…
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The role of digital technologies for the service transformation of industrial companies Open
The role of digital technologies in service business transformation is under-investigated. This paper contributes to filling \nthis gap by addressing how the Internet of things (IoT), cloud computing (CC) and predictive analytics (PA) faci…
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Implementing a Digital Strategy: Learning from the Experience of Three Digital Transformation Projects Open
The rapid growth of digital technologies and the extraordinary amount of data that devices and applications collect each day are increasingly driving companies to radically transform the business architecture through which they create and …
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Can digital transformation promote enterprise performance? —From the perspective of public policy and innovation Open
As a new enterprise development model, digitization is of great significance to the development of economy and society. Using the data of relevant listed companies from 2012 to 2020, the panel measurement model is used to investigate the r…
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Phase‐Transformation Ductilization of Brittle High‐Entropy Alloys via Metastability Engineering Open
High‐entropy alloys (HEAs) in which interesting physical, chemical, and structural properties are being continuously revealed have recently attracted extensive attention. Body‐centered cubic (bcc) HEAs, particularly those based on refracto…
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A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry Open
In this tutorial, we provide principled methods to quantitatively evaluate the quality of an estimated trajectory from visual(-inertial) odometry (VO/VIO), which is the foundation of benchmarking the accuracy of different algorithms. First…
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Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies Open
Management and organizational scholars have paid increasing attention to the interconnections between digital transformation and innovation management in the last decade. However, a highly fragmented understanding of this topic is what we …
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DIGITAL TRANSFORMATION OF BUSINESS MODELS — BEST PRACTICE, ENABLERS, AND ROADMAP Open
The purpose of this paper is to clarify the definition of digital transformation (DT) and to introduce a structured approach with phases, activities and results. Our research is based on a literature review which provides insight into the …
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Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering Open
Most learning approaches treat dimensionality reduction (DR) and clustering separately (i.e., sequentially), but recent research has shown that optimizing the two tasks jointly can substantially improve the performance of both. The premise…
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The digitalization of retailing: an exploratory framework Open
Purpose – Digitalization denotes an on-going transformation of great importance for the retail sector. The purpose of this paper is to analyse the phenomenon of the digitalization of retailing by developing a conceptual framework that can …
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Ordered quantile normalization: a semiparametric transformation built for the cross-validation era Open
Normalization transformations have recently experienced a resurgence in popularity in the era of machine learning, particularly in data preprocessing. However, the classical methods that can be adapted to cross-validation are not always ef…
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Managing the digital supply chain: The role of smart technologies Open
This study investigates the approach required to achieve competitive advantages in the digital supply chain. Moreover, the study examines how digital transformation of companies can fuel smart technologies, leading to improved relationship…