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Transferring cognitive talent across domains to reduce the disposition effect in investment.
We consider Theory of Mind (ToM), the ability to correctly predict the intentions of others. To an important degree, good ToM function requires abstraction from one's own particular circumstances. Here, we posit that such...
KIXBASE
The KIX domain has emerged in the last two decades as a critical site of interaction for transcriptional assembly, regulation and gene expression. Discovered in 1994, this conserved, triple helical globular domain has been...
Exploring Digital Agility and Digital Transformation Leadership
This study aims to explore and examine an integrated model predicting digital agility in higher education institutions. In the exploratory phase, semi-structured interviews were conducted with the heads of the institutions to...
A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks
Nowadays sensor nodes are being deployed anywhere as per the applications and real-time data analysis. A major concern of this implementation is the limited battery power and huge data generation. The data redundancy can also...
StAR-Related Lipid Transfer (START) Domains Across the Rice Pangenome Reveal How Ontogeny Recapitulated Selection Pressures During Rice Domestication.
The StAR-related lipid transfer (START) domain containing proteins or START proteins, encoded by a plant amplified family of evolutionary conserved genes, play important roles in lipid binding, transport, signaling, and...
The search for active learning
This article suggests that the concept of ‘active learning’ has different meanings. These meanings are created in the dynamic and variable relationships between the uses of learning technologies and approaches to pedagogy....
Improving Organizational Sustainable Performance of Organizations Through Green Training
It is necessary to equip employees with green abilities as well as to develop their dedication towards green behaviour, in order to improve an organization's environmental performance. The purpose of this research is to evaluate...
3D MIMO Beamforming Using Spatial Distance SVM Algorithm and Interference Mitigation for 5G Wireless Communication Network
In recent decades, Multiple Input Multiple Output beamforming is deliberated as the vital technology enablers for 5G mobile radio services. Since, it provides noticeable improvement regarding throughput and coverage measures in...
Recent advances in functional neuroimaging analysis for cognitive neuroscience.
Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the...
The search for active learning
This article suggests that the concept of ‘active learning’ has different meanings. These meanings are created in the dynamic and variable relationships between the uses of learning technologies and approaches to pedagogy....
Quantification of the plant terpenome
Plant essential oils are complex mixtures of volatile organic compounds, which play indispensable roles in communication, defense, and adaptive evolution. The complete chemical library produced by a plant is referred to as its...
Hydrophobicity effects in iron polypyridyl complex electrocatalysis within Nafion thin-film electrodes

Four polypyridyl redox catalysts Fe(bp)3 2+, Fe(ph)3 2+, Fe(dm)3 2+, and Fe(tm)3 2+ (with bp, ph, dm, and tm representing...

Impact of Coronavirus Outbreaks on Science and Society
A global event such as the COVID-19 crisis presents new, often unexpected responses that are fascinating to investigate from both scientific and social standpoints. Despite several documented similarities, the coronavirus...
Hydrophobicity effects in iron polypyridyl complex electrocatalysis within Nafion thin-film electrodes

Four polypyridyl redox catalysts Fe(bp)3 2+, Fe(ph)3 2+, Fe(dm)3 2+, and Fe(tm)3 2+ (with bp, ph, dm, and tm representing...

Study of Predictors of Organizational Effectiveness Among Private and Public Sector IT Companies
Human relations experts have shown tremendous interest in determining the variables that enhance workers' satisfaction and their loyalty to organisation because only committed and qualified personnel can facilitate the...
Application of Machine Learning Algorithm in Managing Deviant Consumer Behaviors and Enhancing Public Service.
Consumer-deviant behavior costs global utility firms USD 96 billion yearly, attributable to Non-Technical Losses (NTLs). NTLs affect the operations of power systems by overloading lines and transformers, resulting in voltage...
Application of Representation Learning-Based Chronological Modeling for Network Intrusion Detection
An autoencoder has the potential to overcome the limitations of current intrusion detection methods by recognizing benign user activity rather than differentiating between benign and malicious activity. However, the line...
Short-Term Wind Power Prediction Using Hybrid Auto Regressive Integrated Moving Average Model and Dynamic Particle Swarm Optimization
With the upsurge in restructuring of the power markets, wind power has become one of the key factors in power generation in the smart grids and gained momentum in the recent years. The accurate wind power forecasting is highly...
Advanced Object Detection in Bio-Medical X-Ray Images for Anomaly Detection and Recognition
The human vision system is mimicked in the format of videos and images in the area of computer vision. As humans can process their memories, likewise video and images can be processed and perceptive with the help of computer...
Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services
The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is explored as a theoretical background to build extended UTAUT2 model with relevant variables for examining the cloud storage services technology acceptance at...
A Survey on Fatigue Detection of Workers Using Machine Learning
In the software industry, where the quality of the output is based on human performance, fatigue can be a reason for performance degradation. Fatigue not only degrades quality, but is also a health risk factor. Sleep disorders...

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