Top Research Papers on Psychology Topics

This work defines aesthetics as the study of how and why sensory stimuli acquire hedonic value and proposes that this definition leads to concrete empirical questions, such as how perceptual information comes to engage value signals in the reward circuit or why different psychological and neurobiological factors elicit different appreciation events for identical sensory objects.

Maritime transport is considered as the lynchpin of global trade. In the past decades, a large number of academic articles in the maritime transport field have been published. This study aims to provide a comprehensive review of the development of maritime transport research. A structural topic model (STM) is adopted to analyze the research themes and trends in the maritime literature. STM is a text mining-based methodology to uncover main topics from large-scale unstructured textual data. In total, 3199 articles published between Jan 1991 and Aug 2020 were collected and analyzed. The results ...

This volume comprises 16 contributions that present advanced topics in graph domination, featuring open problems, modern techniques, and recent results. The focus is on primary dominating sets such as paired domination, connected domination, restrained domination, dominating functions, Roman domination, and power domination. Additionally, surveys include known results with a sample of proof techniques for each parameter. Of extra benefit to the reader, the first chapter includes a glossary of commonly used terms; the second chapter provides an overview of models of domination from which the pa...

This paper creates a navigator of the documents, allowing users to explore the hidden structure that a topic model discovers, and reveals meaningful patterns in a collection, helping end-users explore and understand its contents in new ways.

An in-depth analysis of unsupervised topic models from their inception to today is provided, tracing the origins of different types of contemporary topic models and comparing their proposed algorithms, as well as their different evaluation approaches.

The main aim of this article is to present the results of different experiments focused on the problem of model fitting process in topic modeling and its accuracy when applied to long texts and present a clear-cut power-law relation between the optimal number of topics and the analyzed sample size.

Artificial Intelligence (AI) has affected all aspects of social life in recent years. This study reviews 177,204 documents published in 25 journals and 16 conferences in the AI research from 1990 to 2021, and applies the Latent Dirichlet allocation (LDA) model to extract the 40 topics from the abstracts. According to the topics obtained, 7 subfields of the AI field can be discovered: Approximate Reasoning, Computational Theory, Intelligent Automation, Artificial Neural Network, Machine Learning, Natural Language Processing, and Computer Vision. This study aggregates the results of the LDA mode...

Different topic modeling approaches capable of dealing with correlation between topics, the changes of topics over time, as well as the ability to handle short texts such as encountered in social media or sparse text data are presented.

This Research Note presents several contributions and mathematical studies in fluid mechanics, namely in non-Newtonian and viscoelastic fluids and on the Navier-Stokes equations in unbounded domains. It includes review of the mathematical analysis of incompressible and compressible flows and results in magnetohydrodynamic and electrohydrodynamic stability and thermoconvective flow of Boussinesq-Stefan type. These studies, along with brief communications on a variety of related topics comprise the proceedings of a summer course held in Lisbon, Portugal in 1991. Together they provide a set of co...

It is empirically demonstrate that providing topic models with a small number of keywords can substantially improve their performance, and the proposed keyword assisted topic model (keyATM) provides more interpretable results, has better document classification performance and is less sensitive to the number of topics than the standard topic models.

This review explores recent progress throughout this landscape with a particular focus on thermosensing in the model plant Arabidopsis, finding potential novel thermosense mechanisms are based on lipid and liquid-liquid phase separation.

Ecological psychology is one of the main alternative theories of perception and action available in the contemporary literature. This Element explores and analyzes its most relevant ideas, concepts, methods, and experimental results. It discusses the historical roots of the ecological approach. The Element then analyzes the works of the two main founders of ecological psychology: James and Eleanor Gibson. It also explores the development of ecological psychology since the 1980s until nowadays. Finally, the Element identifies and evaluates the future of the ecological approach to perception and...

The psychology of pandemics has emerged as an important field of research and practice during the coronavirus 2019 (CO VID-19) pandemic and is vital for shaping clinical practice and public health guidelines for COVID-19 and future pandemic outbreaks.

The Psychology of Music provides an overview of the perception of musical tones by discussing different sound characteristics, like loudness, pitch and timbre, together with interaction between these attributes.

Personality psychology, which seeks to study individual differences in thoughts, feelings, and behaviors that persist over time and place, has experienced a renaissance in the last few decades. It has also not been reviewed as a field in the Annual Review of Psychology since 2001. In this article, we seek to provide an update as well as a meta-organizational structure to the field. In particular, personality psychology has a prescribed set of four responsibilities that it implicitly or explicitly tackles as a field: ( a ) describing what personality is-i.e., what the units of analysis in the f...

The results show clear trends in the development of language and communication in Culture and in the treatment of Abnormal Behavior and Culture, which are related to Cognition and Personality.

Topic modeling is used in information retrieval to infer the hidden themes in a collection of documents and thus provides an automatic means to organize, understand and summarize large collections of textual information. Topic models also offer an interpretable representation of documents used in several downstream Natural Language Processing (NLP) tasks. Modeling techniques vary from probabilistic graphical models to the more recent neural models. This paper surveys topic models from four aspects. The first aspect categorizes different topic modeling techniques into four categories: algebraic...

Coffee by-products are a good alternative for the composition of topical pharmaceutical and cosmetic formulations, because in addition to their numerous activities, they have low cost, and are sustainable, safe and effective.

Abstract We identify the core topics of research applying machine learning to finance. We use a probabilistic topic modeling approach to make sense of this diverse body of research spanning across multiple disciplines. Through a latent Dirichlet allocation topic modeling technique, we extract 15 coherent research topics that are the focus of 5942 academic studies from 1990 to 2020. We find that these topics can be grouped into four categories: Price‐forecasting techniques, financial markets analysis, risk forecasting and financial perspectives. We first describe and structure these topics and ...

Human behavior plays a critical role in causing global climate change as well as in responding to it. In this article, I review important insights on the psychology of climate change. I first discuss factors that affect the likelihood that individuals engage in a wide range of climate actions. Next, I review the processes through which values affect climate actions and reflect on how to motivate climate actions among people who do not strongly care about nature, the environment, and climate change. Then I explain that even people who may be motivated to engage in climate actions may not do so ...