Waves (Grade 7, Quarter 3) Suggested Guide for DiscussionRachel Espino
A suggested powerpoint presentation guide for discussion for Gr.7 teachers on the characteristics and categories of waves. It also includes a simple quiz (under knowledge category) as an assessment
Heterogeneous and Homogeneous Mixtures are discussed in this presentation. High School chemistry, physical science, environmental science, earth systems, and material science students will benefit from this presentation. All essential introductory concepts are presented here.
Waves (Grade 7, Quarter 3) Suggested Guide for DiscussionRachel Espino
A suggested powerpoint presentation guide for discussion for Gr.7 teachers on the characteristics and categories of waves. It also includes a simple quiz (under knowledge category) as an assessment
Heterogeneous and Homogeneous Mixtures are discussed in this presentation. High School chemistry, physical science, environmental science, earth systems, and material science students will benefit from this presentation. All essential introductory concepts are presented here.
First Quarter-Scientific Method Powerpoint Presentation
Content Standard-Scientific ways of acquiring knowledge and solving problems
Performance Standard
perform in groups
in guided
investigations involving community- based problems using locally available materials
Most Essential Learning
Competencies
-Describe the components
of a scientific investigation (Week 1) S7MTIa-
1
OBJECTIVES
Describe the components of the scientific method
Follow the steps of the scientific method and perform experiments using it.
SCIENTIFIC METHOD
a systematic process of empirical investigation
It is the key to unlock the bodies of knowledge by helping the researcher in organizing his or her thoughts and procedures and making him or her confident of the findings from the expirements
COMPONENTS OF A SCIENTIFIC INVESTIGATION
1. Statement of the Problem
-You should have existing knowledge of the problem
This part answers the following questions:
What questions do you have about your topic?
What do you want to know?
EXAMPLE
How does fertilizer affect the growth of plants?
2. Formulation of Hypothesis
Hypothesis-simple statement that presents the possible solution to the problem. It can be tested, and it is based on knowledge and research.
Hypothesis may be stated in two ways:
a. Null Hypothesis (Ho)-states that no relationship between variables
Example: The fertilizer DOES NOT affect the growth of plants
b. Alternative hypothesis (Ha)-states a relationship between variables
Example: There is significant relationship between the growth of plants and the use of fertilizer
Ha2 : There is a negative relationship between A and B
(Less A is involved, the better B)
Ha3 There is a positive relationship between A and B.
(More B is involved, the better A)
3. Testing Hypothesis and Gathering of Data
Experiments-a set of manipulations or specific observations of nature, and it is considered the most important part of the scientific method.
Three Types of Experiments
1. Controlled Experiment-the observer tests the hypothesis by looking for changes brought by alteration to a variable
Variable- a characteristic, number, or quantity that increases or decreases over time or takes different values in different situations.
a. Controlled variables-variables that are kept constant.
b. Independent variables-factors that you change or alter during the experiment.
c. Dependent variables-variables that you observe. and they are considered the response to an independent variable
2. Natural experiments or quasi-experiments-Here, the observer does not manipulate any variable but simply collects all the possible data to determine the factors affecting a particular phenomenon.
3. Field experiment-named to draw a contrast with laboratory experiments. It examines the real world using scientific method.
Example: Political sciences, economics, and psychology
Prediction
a forecast of future events based on past observations.
Example: The plants will grow faster and strong
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
SCIENCE7: Applications of Scientific Investigation
1. 11/27/2020
1
CHRISTIAN A. URSABIA ____________________
Teacher Name of Student
09275307352 slagradeict2020@gmail.com Aibasru Chris Tian
Contact No. Email Address FB Account
SCIENCE 7
P. Burgos St., Poblacion, Daanbantayan, Cebu
APPLICATION OF SCIENTIFIC METHOD
2. MELC #1 : Describe the components of a scientific
investigation.
I. OBJECTIVES:
Using technology-aided instructions with the use of
PowerPoint, the Grade 7 students, with at least 85%
accuracy, would be able to:
A. describe how scientific method is observed during
experimentation;
B. present evidences in determinizing experimentation’s set-
up; and
C. show real-life problems where scientific method is best
applied.
3. What do you observe about the illustrations?
How do the sunlight and water affect the growth of the
plant?
4. VARIABLE
is any factor, trait, or condition that can exist in
differing amounts or types.
CONTROL
EXPERIMENTAL
is the group being tested for a reaction to a
change in the variable.
TERMS TO REMEMBER…
DEPENDENT
is the variable being tested in
a scientific experiment.
is an experiment or observation designed to minimize
the effects of variables other than the independent
variable.
INDEPENDENT
is the variable whose change isn't affected by
any other variable in the experiment.
5. SCIENTIFIC METHOD
Make an Observation
Identify/Statement of the Problem
Formulation of the Hypothesis
Test the Hypothesis / Experimentation
Analysis of Data
Conclusion/Communicate Results
6. Hypothesis may be tested in two ways:
a. Null Hypothesis - hypothesis that states no relationship
between variables.
Example: The fertilizer does not affect the growth of
plants.
b. Alternative Hypothesis- hypothesis that states a
relationship between variables.
Example: There is a significant relationship between the
growth of plants and the use of fertilizer.
How does hypothesis being tested?
7. Why do we need to experiment?
Experiment - a procedure to test the hypothesis.
Variables - anything you can change or control in an
experiment.
Does it help in making things work?
8. VARIABLES AND CONTROLS
Kinds of Variables
a. Controlled Variables
• variable that are kept constant. They do not have any
treatment.
b. Independent Variables
• are the factors that you change or alter during the experiment.
c. Dependent Variables
• are the variables that you observe and they are considered the
response to an independent variable.
9. Question:
1.What is the dependent variable?
2.What is the independent variable?
3.How about the controlled variable?
10. CONTROL AND EXPERIMENTAL GROUP
Control Group
• not expose to variable
being tested.
Experimental Group
• expose to variable
being tested.
11. EXAMPLES OF A SITUATION
THAT APPLIES THE SCIENTIFIC METHOD
1. Observation : Brian says something on the microphone but we
heard nothing even though he’s talking to the camera.
2. Problem: Why is Brian not audible?
3. Hypothesis: There is a problem with Brian’s headset.
4. Experiment: Brian checked his headset and he found out that the
wire of his headset has been cut.
5. Analyze: Brian has experienced loss of signal due to his
microphone
6. Conclusion: Therefore, I conclude that Brian is not audible
because there is a problem with his headset.
12. EXAMPLES OF A SITUATION
THAT APPLIES THE SCIENTIFIC METHOD
1. Observation : My cellphone didn’t charge after I plugged it into
the outlet.
2. Problem: Is there something wrong with my electrical outlet?
3. Hypothesis: If something is wrong with the outlet, the
television will not also work when plugged into it.
4. Experiment: I plug the television into the outlet. The
television works.
5. Analyze: Check if what device has a defect.
6. Conclusion: Therefore, I conclude that there is a problem with
my device not the electrical outlet.
13. LET’S TRY THIS :
Observation :
1.Rina suddenly left the meeting
during the online class.
2. I can’t find my wallet.
14. GUIDE
QUESTION:
1. Give a problem based on the observation given.
2. What do you think is the hypothesis of the
problem?
3. How are you going to conduct an experiment to
prove your hypothesis?
4. Give the conclusion based on the data you have
gathered.
15. LET’S WRAP IT UP! I. MULTIPLE CHOICE: Underline the correct answer.
1. It is not exposed to variable being tested.
a. Experimental
b. Control
c. Dependent
d. Independent
2. It s any factor, trait, or condition that can exist in differing amounts or types.
a. Variable
b. Dependent
c. Independent
d. Controlled
3. It is hypothesis that states no relationship between variables.
a. Null hypothesis
b. Alternative hypothesis
c. Both a and b
d. Neither a nor b
4. It is the group being tested for a reaction to a change in the variable.
a. Observation
b. Control
c. Experimental
d. Dependent
16. LET’S DEEPEN MORE :
September 14, 2020
Using Google Classroom, answer the assessment activity to deepen your understanding and
how you achieve the mastery level of the topic.
The link of the assessment activity will be sent right after the session through our class
Group Chat in Messenger and/or in Google Classroom that is more accessible to you to access.
September 14, 2020
Prepare a mongo beans (at least 10 seeds. In A, place it a wet tissue paper and in Place B, place it in
soil. Put the same amount of water into it. Observe what will happen. Use the table below.
Materials: Use tape measure, mongo beans, water, wet tissue paper, soil
For online, submit it on Thursday, September 17, 2020 @ 12:00 NN in a .jpeg format.
Attached it to the Google Classroom and/or email at slagradeict2020@gmail.com.
For modular, submit it on Friday, September 18, 2020 @ 08:00 – 04:00 PM.
Use long bondpaper. Sir Christian
LET’S BRING IT HOME: ONLINE/MODULAR
PLACE # of Seeds Amount of Water Height in Days (cm)
Day 1 Day 2 Day3
A 5 2 mL
B 5 2 mL
17. ONLINE/MODULAR:
I. ASSESSMENT: Answer it in a whole long bondpaper for 10 points each.
1. Why do we need to learn about scientific method? How does it help us acquire knowledge?
2. Why do we need to investigate in solving a problem?
3. How does control and variables helps determine the dependent and independent variable?
4. Is it necessary to formulate a hypothesis? Yes or No. Explain.
I. ACTIVITY: Based on the activity, answer it in a whole long bondpaper for 10 points each.
1. Which grows taller – the mongo seeds in the wet tissue paper or the mongo beans in the soil? Cite
your observation.
2. In a given amount of water, why do you think it is best to determine the factors of this activity?
3. In putting too much water, does it give reason to let the mongo beans grow taller? Explain.