The document discusses the structure and function of the human nervous system. It describes the central nervous system, including the brain which is divided into the hindbrain, midbrain, and cerebrum. The cerebrum is further divided into left and right hemispheres connected by the corpus callosum. It also describes the peripheral nervous system, including the somatic and autonomic divisions. The autonomic nervous system has sympathetic and parasympathetic divisions that regulate functions like heart rate and digestion.
A look at future directions for biology. Personalized genomics is a key step in moving towards individualized medicine and preventative interventions. The traditional trial and error approach of molecular biology is being replaced by the direct design of synthetic biology. Synthetically developed energy solutions could have a substantial impact on natural resource demand.
A look at future directions for biology. Personalized genomics is a key step in moving towards individualized medicine and preventative interventions. The traditional trial and error approach of molecular biology is being replaced by the direct design of synthetic biology. Synthetically developed energy solutions could have a substantial impact on natural resource demand.
Thermodynamic laws describe the flows and interchanges of heat, energy and matter.
Almost all chemical and biochemical processes are as a result of transformation of energy.
Laws can provide important insights into metabolism and bioenergetics.
The energy exchanges between the system and the surroundings balance each other.
There is a hierarchy of energetics among organisms
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. AP Biology
Nervous system
Central
nervous
system
Brain
Spinal
cord
Peripheral
nervous
system
Somatic
(voluntary)
nervous system
Motor
pathways
Sensory
pathways
Autonomic
(involuntary)
nervous system
Sympathetic
division
Parasympathetic
division
Sympathetic
arousal & energy production
“fight or flight”
Parasympathetic
calming & back to maintenance
“rest & digest”
Sympathetic
arousal & energy production
“fight or flight”
Parasympathetic
calming & back to maintenance
“rest & digest”
3. AP Biology
Types of neurons
dendrites
sensory neuron
cell body
axon
cell body
interneuron
cell
body
motor neuron
dendrites
“associative”
4. AP Biology
Cephalization = Brain evolution
Cnidarian
nerve
net
Simplest
nervous system
no control of
complex actions
Simplest
nervous system
no control of
complex actions
More organization
but still based on nerve
nets; supports more
complex movement
More organization
but still based on nerve
nets; supports more
complex movement
Cephalization = clustering of neurons in “brain” at front (anterior)
end of bilaterally symmetrical animals
Cephalization = clustering of neurons in “brain” at front (anterior)
end of bilaterally symmetrical animals
Flatworm
Platyhelminthes
nerve cords
associative
neurons
Simplest, defined
central nervous system
more complex muscle
control
Simplest, defined
central nervous system
more complex muscle
control
Echinoderm
radial
nervenerve
ribs
→→ where sense organs are
5. AP Biology
Mollusk
brain
giant
axon brain
ventral
nerve
cords
Arthropod
Further brain
development
ganglia = neuron
clusters along
CNS
Further brain
development
ganglia = neuron
clusters along
CNS
increase in interneurons in brain regionincrease in interneurons in brain region
Earthworm
central nervous system
peripheral
nerves
More complex brains
connected to all other
parts of body by
peripheral nerves
More complex brains
connected to all other
parts of body by
peripheral nerves
More complex brains
in predators
most sophisticated
invertebrate nervous
system
More complex brains
in predators
most sophisticated
invertebrate nervous
system
Cephalization = Brain evolution
8. AP Biology
Functional divisions of brain
Hindbrain
evolutionary older structures of the brain
regulate essential autonomic & integrative
functions
brainstem
pons
medulla oblongata
midbrain
cerebellum
thalamus, hypothalamus
9. AP Biology
Brainstem
The “lower brain”
medulla oblongata
pons
midbrain
Functions
homeostasis
coordination of movement
conduction of impulses to higher brain
centers
10. AP Biology
Medulla oblongata & Pons
Controls autonomic homeostatic
functions
heart & blood vessel activity
breathing
swallowing
vomiting
digestion
Relays information
to & from higher
brain centers
11. AP Biology
Midbrain
Involved in the integration of sensory
information
regulation of
visual reflexes
regulation of
auditory
reflexes
12. AP Biology
Reticular Formation
Sleep & wakefulness produces patterns
of electrical activity in the brain
recorded as an ElectroEncephaloGram
(EEG)
most dreaming
during REM
(rapid eye
movement)
sleep
13. AP Biology
Cerebrum
Most highly evolved structure of
mammalian brain
Cerebrum divided
hemispheres
left = right side of
body
right = left side of
body
Corpus callosum
major connection
between 2 hemispheres
14. AP Biology
Lateralization of Brain Function
Left hemisphere
language, math, logic operations, processing
of serial sequences of information, visual &
auditory details
detailed activities required
for motor control
Right hemisphere
pattern recognition, spatial
relationships, non-verbal
ideation, emotional
processing, parallel
processing of information
15. AP Biology
Cerebrum specialization
Regions of the cerebrum are
specialized for different functions
Lobes
frontal
temporal
occipital
parietal
17. AP Biology
Limbic system
Mediates basic emotions (fear, anger), involved in
emotional bonding, establishes emotional memory
Amygdala
involved in
recognizing
emotional content
of facial
expression
18. AP Biology
Simplest Nerve Circuit
Reflex, or automatic response
rapid response
automated
signal only goes to
spinal cord
no higher level
processing
adaptive value
essential actions
don’t need to think or
make decisions about
blinking
balance
pupil dilation
startle
19. AP Biology
Eye Blink or Pain Withdrawal Reflex
Effector
(muscle)
Spinal
cord
InterneuronGray
matter
White
matter
Motor
neuron
Sensory
neuron
Receptor
in skin
Stimulus