By the end of this section, you will be able to:Describe problem solving strategiesDefine algorithm and heuristicExplain some common roadblocks to effective problem solving

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

By the end of this section, you will be able to:Describe problem solving strategiesDefine algorithm and heuristicExplain some common roadblocks to effective problem solving

A java code for computing modular exponents using the algorithm of repeated squares.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Advances in metagenomic sequencing have allowed for the identification of countless novel bacterial taxa in environmental samples. However, due to a lack of appropriate computational tools, the plasmids contained by many of these bacteria have received far less attention. That has restricted research into the important genetic processes plasmids are responsible for, such as horizontal gene transfer and antibiotic resistance. To address this gap, researchers recently developed the Sequence Contents-Aware Plasmid Peeler (SCAPP). An open-source Python package, SCAPP builds upon a previously developed algorithm and uses biological data to assemble plasmid sequences from metagenomic samples. SCAPP was found to outperform existing metagenomic plasmid assembly tools when tested on simulated metagenomes and real human gut microbiome samples. SCAPP could also assemble novel and clinically relevant plasmid sequences in generated samples..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Understanding how human decision-making and preferences manifest before conscious thought has long challenged researchers focused on cognitive and information science. Now, the field of neuromarketing – a discipline that looks at the neurocognitive underpinnings of consumer behavior – is starting to uncover, in amazing detail, exactly how the brain goes about recognizing a brand. An international research team based in Auckland University of Technology and Nottingham Trent University has devised a new machine learning method that tracks brain responses to logos on the millisecond timescale…even before conscious thoughts are formed. Their results shed light on the early spikes in brain activity that are tied to brand awareness. The method utilizes one of the most promising recent trends in artificial intelligence research: spiking neural networks. These networks use algorithms loosely modeled on the behavior of the human brain to recognize patterns in sets of streaming data..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

After completing the associated lesson, students test their understanding in two programming tasks that utilize LEGO MINDSTORMS(TM) NXT robots and sound/touch sensors. In the first challenge, students become acquainted with wait blocks by designing programs to simply make robots move forward until "hearing" a noise, and then turn left. The second, more challenging activity pushes students to fully understand the potential of wait blocks. They create programs that make the robots change speed several times when a touch sensor is pressed. Students gain practice in the iterative design-program-test-redesign process. A PowerPoint® presentation, pre/post quizzes and worksheet are provided.

Students are introduced to the basic concepts of computer programs, algorithms and programming. Using a few blindfolds and a simple taped floor maze exercise, students come to understand that computers rely completely upon instructions given in programs and thus programs must be comprehensive and thorough. Then students learn to program using the LEGO MINDSTORMS(TM) NXT software. They create and test basic programs, first using just the LEGO NXT intelligent brick, and then using basic movement commands with the LEGO NXT software on computers. A detailed PowerPoint® presentation, plus a worksheet and pre/post quizzes are provided.