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ABSTRACT Course-based undergraduate research experiences (CUREs) have well-documented benefits, including increasing students’ access to research, fostering science identity, and improving retention in STEM. However, C...

ABSTRACT We provide a framework for the implementation of ungrading in course-based undergraduate research experiences (CUREs) and a case example of ungrading in an advanced laboratory course. Although assessments should...

BackgroundIntegrated single-cell morpho-molecular analysis is vital for precision pathology, yet accurate nuclear instance segmentation from standard histopathology images remains challenging due to staining variability ...

Ukrainian university students facing profound mental health challenges during the ongoing war, a humanitarian crisis exacerbated by cognitive warfare - efforts to destabilise consciousness, erode trust and manipulate emo...

Abstract Mild traumatic brain injury (mTBI) disproportionately affects children and adolescents and has been associated with poorer neurocognitive performance, but the biological mechanisms driving symptom variability an...

BioEYES, a nonprofit outreach program using zebrafish to excite and educate K-12 students about science and how to think and act like scientists, has been integrated into hundreds of under-resourced schools since 2002. D...

Abstract Background Optimizing the seeding rate is critical for wheat productivity. However, excessive densification often compromises individual photosynthetic efficiency to maximize canopy light interception, creating ...

The stability and functionality of modern, highly technological societies are profoundly dependent on the uninterrupted availability of critical infrastructure services. The health sector plays a unique role in protectin...

Abstract The natural occurrence of 2,6-diaminopurine (Z) as a substitute for adenine (A) in certain bacteriophage genomes has profound evolutionary implications and promising biotechnological potential. Progress in this ...

Abstract Background Single-cell RNA sequencing (scRNA-seq) is considered a revolution in gene expression studies and offers significant benefits across various fields of biomedical or clinical applications. However, a hi...

Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014...

This paper considers the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning. It examines some complications in allocating resources between the two, p...

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a ...

Materias / palabras clave: Reinforcement learning; Computer science; Artificial intelligence; Variety (cybernetics); Deep learning; Control (management); Perception; Human–computer interaction; Machine learning; Neuroscience; Biology

Materias / palabras clave: Generalization; Statistical learning theory; Statistical learning; Learning theory; Function (biology); Statistical theory; Epistemology; Computer science; Artificial intelligence; Mathematics; Mathematics education; Phi...

Abstract Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1–4 , the structures of around 100,000 un...

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Históricamente, la enseñanza de la anatomía dentro del ámbito de la Educación Física no ha focalizado sus contenidos en la práctica misma de esta carrera, no ha estado contextualizada en sus problemáticas; por lo...

A measure is presented which indicates the similarity of clusters which are assumed to have a data density which is a decreasing function of distance from a vector characteristic of the cluster. The measure can be used t...

This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of implementation of the theory along with a de...

Materias / palabras clave: Support vector machine; Computer science; Regularization (linguistics); Quadratic programming; Perspective (graphical); Machine learning; Relevance vector machine; Function (biology); Regular polygon; Artificial intellig...

Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a method of automatic machine translation evalu...

SUMMARY: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequen...

Materias / palabras clave: Model predictive control; Optimal control; Control theory (sociology); Stability (learning theory); Sequence (biology); Mathematical optimization; Horizon; Nonlinear system; Control (management); Time horizon; Mathematic...