Journal Database

Life Science, M&E 2: Anabolism/Catabolism (HS), M&E 2: Metabolism (MS), M&E 3: Cellular Respiration (HS), M&E 4: Aerobic/Anaerobic Resp. (HS), Matter & Energy in Organisms/Ecosystems, Natural Selection & Evolution, NSE 2: Evolution Factors (HS), NSE 2: Taxonomy (MS), NSE 4: Adaption (HS), S&F 1: Cells (MS), S&F 1: DNA to Proteins (HS), S&F 2: Cell Function (MS), S&F 4: Stimuli Response (MS), Structure and Function

The architecture of cell differentiation in choanoflagellates and sponge choanocytes

The architecture of cell differentiation in choanoflagellates and sponge choanocytes SUMMARY: The closest relative to multicellular animals are single-celled organisms called choanoflagellates. These protists look like collar cells. These are cells that have a microvillar ring (the collar) around a flagellum. An example of these cells in animals are sensory epidermal cells. To get a… Continue reading The architecture of cell differentiation in choanoflagellates and sponge choanocytes

Life Science, M&E 2: Anabolism/Catabolism (HS), Matter & Energy in Organisms/Ecosystems, NSE 2: Taxonomy (MS), NSE 3: Embryology (MS), S&F 1: DNA to Proteins (HS), S&F 2: Body Systems (HS), S&F 3: Homeostasis (HS), S&F 4: Stimuli Response (MS), Structure and Function

The Endocannabinoid System of Animals

The Endocannabinoid System of Animals SUMMARY: This article talks about the endocannabinoid system (ECS) in animals. The first and second section talk about the three parts of the ECS: receptors (CBR1 and CBR2), ligands (endocannabinoids), and the ligand degrading enzymes. The receptors are G-protein coupled receptors, the ligands bind directly to these receptors, and the… Continue reading The Endocannabinoid System of Animals

Physical Science

Machine Learning in Medicine

Machine Learning in Medicine SUMMARY: This review looks at the various ways people and companies have tried to use machine learning in medicine, specifically to predict cardiovascular issues and cancer. There are two types of machine learning: supervised and unsupervised. Supervised learning uses algorithms to look at data and classify the information. Unsupervised learning takes… Continue reading Machine Learning in Medicine

F&I 1: Newton's 2nd Law (HS), F&I 1: Newton's 3rd Law (MS), F&I 2: Newton's 1st Law (MS), F&I 2: Newton's 3rd Law (HS), Forces & Interactions, Physical Science, S&P 2: Synthetic Materials (MS), Structure & Properties of Matter

Anchoring like octopus

Anchoring like octopus SUMMARY: In this experiment, scientists tried to reproduce an anchoring mechanism modeled after octopus suckers. There were a few important aspects they wanted to mimic: the softness of the suckers so that suction could be maintained, even on rough surfaces. And the ability to sense proximity and tactile stimuli. They ended up… Continue reading Anchoring like octopus

E 1: Energy Flow (HS), E 1: Energy, Mass, & Speed (MS), E 2: Energy & Motion (HS), E 2: Potential Energy (MS), E 5: Kinetic Energy Transfer (MS), Energy, F&I 1: Newton's 2nd Law (HS), F&I 1: Newton's 3rd Law (MS), F&I 2: Newton's 1st Law (MS), F&I 2: Newton's 3rd Law (HS), F&I 4: Gravity & Electrostatic Forces (HS), F&I 4: Gravity & Mass (MS), Forces & Interactions, Physical Science

The meaning of blood pressure

The meaning of blood pressure SUMMARY: This article talks about all the physical aspects of blood pressure. The first few sections talks about the 3 forces that affect blood pressure: elastic, kinetic, and gravitational. The author also talks about how kinetic energy can be converted to elastic energy in the case of an aneurysm in… Continue reading The meaning of blood pressure

F&I 1: Newton's 2nd Law (HS), F&I 1: Newton's 3rd Law (MS), F&I 2: Newton's 1st Law (MS), F&I 2: Newton's 3rd Law (HS), F&I 3: Electric/Magnetic Forces (MS), F&I 4: Gravity & Electrostatic Forces (HS), F&I 4: Gravity & Mass (MS), F&I 5: Electricity & Magnets (HS), F&I 5: Force Fields (MS), Forces & Interactions, Physical Science, S&P 2: Investigating Electrical Force (HS), Structure & Properties of Matter, W 1: Graphing Waves (MS), W 1: Wave Relationships (HS), W 2: Wave Behavior (MS), W 3: Modeling Electromagnetic Radiation (HS), Waves & Electromagnetic Radiation

The physics of pollinator attraction

The physics of pollinator attraction SUMMARY: This article focuses on the physical properties of plants that have evolved to help them select the appropriate pollinators and discourage non-pollinators (nectar stealers). The first feature the article addresses is the shape of the cells. Flower petals often have cone-shaped cells to help scatter more light. This gives… Continue reading The physics of pollinator attraction