Construct (python library)
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Evolutionary-scale prediction of atomic-level protein structure with a language model Open
Recent advances in machine learning have leveraged evolutionary information in multiple sequence alignments to predict protein structure. We demonstrate direct inference of full atomic-level protein structure from primary sequence using a …
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Squeeze-and-Excitation Networks Open
The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local receptive fields at e…
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Life’s Essential 8: Updating and Enhancing the American Heart Association’s Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association Open
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life …
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Ecosystem as Structure Open
Over the past 20 years, the term “ecosystem” has become pervasive in discussions of strategy, both scholarly and applied. Its rise has mirrored an increasing interest and concern among both researchers and managers with interdependence acr…
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How gamification motivates: An experimental study of the effects of specific game design elements on psychological need satisfaction Open
The main aim of gamification, i.e. the implementation of game design elements in real-world contexts for non-gaming purposes, is to foster human motivation and performance in regard to a given activity. Previous research, although not enti…
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A brief introduction to weakly supervised learning Open
Supervised learning techniques construct predictive models by learning from a large number of training examples, where each training example has a label indicating its ground-truth output. Though current techniques have achieved great succ…
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Science Mapping: A Systematic Review of the Literature Open
Purpose We present a systematic review of the literature concerning major aspects of science mapping to serve two primary purposes: First, to demonstrate the use of a science mapping approach to perform the review so that researchers may a…
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Grounded theory research: A design framework for novice researchers Open
Background: Grounded theory is a well-known methodology employed in many research studies. Qualitative and quantitative data generation techniques can be used in a grounded theory study. Grounded theory sets out to discover or construct th…
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Fifteen Years of Research on Business Model Innovation Open
Over the last 15 years, business model innovation (BMI) has gained an increasing amount of attention in management research and among practitioners. The emerging BMI literature addresses an important phenomenon but lacks theoretical underp…
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Progressive Growing of GANs for Improved Quality, Stability, and Variation Open
We describe a new training methodology for generative adversarial networks. The key idea is to grow both the generator and discriminator progressively: starting from a low resolution, we add new layers that model increasingly fine details …
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Analyzing Learned Molecular Representations for Property Prediction Open
Advancements in neural machinery have led to a wide range of algorithmic solutions for molecular property prediction. Two classes of models in particular have yielded promising results: neural networks applied to computed molecular fingerp…
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Quantum computational chemistry Open
One of the most promising suggested applications of quantum computing is solving classically intractable chemistry problems. This may help to answer unresolved questions about phenomena such as high temperature superconductivity, solid-sta…
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Designing Difference in Difference Studies: Best Practices for Public Health Policy Research Open
The difference in difference (DID) design is a quasi-experimental research design that researchers often use to study causal relationships in public health settings where randomized controlled trials (RCTs) are infeasible or unethical. How…
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The Essential Guide to Doing Your Research Project Open
PART ONE: TAKING THE LEAP INTO THE RESEARCH WORLD The challenge of tackling a research project So what is this thing called research and why do it? The need for research knowledge The potential of research knowledge Delving into the 'const…
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Constructing validity: New developments in creating objective measuring instruments. Open
In this update of Clark and Watson (1995), we provide a synopsis of major points of our earlier article and discuss issues in scale construction that have become more salient as clinical and personality assessment has progressed over the p…
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Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry Open
Can directed technical change be used to combat climate change? We construct new firm-level panel data on auto industry innovation distinguishing between "dirty" (internal combustion engine) and "clean" (e.g. electric and hybrid) patents a…
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What do centrality measures measure in psychological networks? Open
Centrality indices are a popular tool to analyze structural aspects of psychological networks. As centrality indices were originally developed in the context of social networks, it is unclear to what extent these indices are suitable in a …
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Comparing network structures on three aspects: A permutation test. Open
Network approaches to psychometric constructs, in which constructs are modeled in terms of interactions between their constituent factors, have rapidly gained popularity in psychology. Applications of such network approaches to various psy…
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Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design Open
A series of weaknesses in creativity, research design, and quality of writing continue to handicap energy social science. Many studies ask uninteresting research questions, make only marginal contributions, and lack innovative methods or a…
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Bioink properties before, during and after 3D bioprinting Open
Bioprinting is a process based on additive manufacturing from materials containing living cells. These materials, often referred to as bioink, are based on cytocompatible hydrogel precursor formulations, which gel in a manner compatible wi…
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Accurate and Numerically Efficient r<sup>2</sup>SCAN Meta-Generalized Gradient Approximation Open
The recently proposed rSCAN functional [ J. Chem. Phys. 2019 150, 161101] is a regularized form of the SCAN functional [ Phys. Rev. Lett. 2015 115, 036402] that improves SCAN's numerical performance at the expense of breaking constraints k…
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Into the unknown: A review and synthesis of contemporary models involving uncertainty Open
The current review and synthesis serves to define and contextualize fear of the unknown relative to related constructs, such as intolerance of uncertainty, and contemporary models of emotion, attachment, and neuroticism. The contemporary m…
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The pursuit of quality in grounded theory Open
This article introduces grounded theory and places this method in its historical context when 1960s quantitative researchers wielded harsh criticisms of qualitative research. The originators of grounded theory, sociologists Glaser and Stra…
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Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling Open
Advertising research is a scientific discipline that studies artifacts (e.g., various forms of marketing communication) as well as natural phenomena (e.g., consumer behavior). Empirical advertising research therefore requires methods that …
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When data is capital: Datafication, accumulation, and extraction Open
The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data co…
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The future of sex and gender in psychology: Five challenges to the gender binary. Open
The view that humans comprise only two types of beings, women and men, a framework that is sometimes referred to as the "gender binary," played a profound role in shaping the history of psychological science. In recent years, serious chall…
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M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network Open
Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask RCNN, DetNet) to alleviate the problem arising from scale varia…
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Four Generations of High-Dimensional Neural Network Potentials Open
Since their introduction about 25 years ago, machine learning (ML) potentials have become an important tool in the field of atomistic simulations. After the initial decade, in which neural networks were successfully used to construct poten…
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Organizational Resilience: A Valuable Construct for Management Research? Open
Recently, the concept of resilience has gained new momentum in organization studies. It is held to be a very promising concept to explain how organizations can survive and thrive amidst adversity or turbulence. However, findings from an ea…
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The GRADE Working Group clarifies the construct of certainty of evidence Open
It is desirable for systematic review authors, guideline panelists, and health technology assessors to specify the threshold or ranges they are using when rating the certainty in evidence.