The document provides instructions for students to complete a lab manual examining the physical properties of 24 mineral specimens. Students are directed to use tables to record properties like luster, color, hardness, cleavage, and other diagnostics. They will then analyze properties including hardness, luster and diaphaneity, color and streak, cleavage, and tenacity. Definitions and examples are provided for each property to aid in the lab.
Studying Hand specimens & their Physical PropertiesAman Gupta
A slide prepared on the topic hand specimens and their physical properties. Gives an overview to help beginners to learn to ientify hand specimens easily.
Studying Hand specimens & their Physical PropertiesAman Gupta
A slide prepared on the topic hand specimens and their physical properties. Gives an overview to help beginners to learn to ientify hand specimens easily.
This presentation discusses briefly the differences between foliation and lineation, showing the main types of primary foliation and secondary foliation and how to identify them.
Mineralogy
Definition of mineral, mineralogy, Importance of study of minerals: rock forming and ore forming minerals. Different methods of study of minerals. Study of minerals by physical identification method and their physical properties.Forms and Habits, Colour, Streak, Lustre, Fracture, Cleavage, Hardness, Specific Gravity, Degree of Transparency, Special Properties Determination of Physical properties of following minerals: Feldspar, Quartz, Flint, Jasper, Olivine, Augite, Hornblende, Muscovite, Biotite, Asbestos, Chlorite, Kyanite, Garnet, Talc, Calcite. Study of ore forming minerals such as Pyrite, Hematite, Magnetite, Amethyst, Galena, Pyrolusite, Graphite, Magnetite, and Bauxite, Coral reefs.
Importance of Mineral, Chemical Composition of Earth Crust, Structure of Silicates
This presentation discusses briefly the differences between foliation and lineation, showing the main types of primary foliation and secondary foliation and how to identify them.
Mineralogy
Definition of mineral, mineralogy, Importance of study of minerals: rock forming and ore forming minerals. Different methods of study of minerals. Study of minerals by physical identification method and their physical properties.Forms and Habits, Colour, Streak, Lustre, Fracture, Cleavage, Hardness, Specific Gravity, Degree of Transparency, Special Properties Determination of Physical properties of following minerals: Feldspar, Quartz, Flint, Jasper, Olivine, Augite, Hornblende, Muscovite, Biotite, Asbestos, Chlorite, Kyanite, Garnet, Talc, Calcite. Study of ore forming minerals such as Pyrite, Hematite, Magnetite, Amethyst, Galena, Pyrolusite, Graphite, Magnetite, and Bauxite, Coral reefs.
Importance of Mineral, Chemical Composition of Earth Crust, Structure of Silicates
PHYSICAL GEOLOGY Minerals Chapter 3 1 Not count.docxmattjtoni51554
PHYSICAL GEOLOGY Minerals
Chapter 3 1
Not counting elements and sub-atomic particles minerals are the
basic building block for the majority of earthen materials. Minerals
are the major constituent of nearly all rocks. Combinations of
minerals (mineral assemblages) in rocks can give insight into the
formation and possible alteration of the rocks in question.
Identification of minerals is a process of interpreting the
physical and other properties of the mineral. In this laboratory
assignment you will become familiar with many of the properties of
minerals and how to test these properties. Finally by utilizing this
data and identification charts you will be able to determine the
mineral species.
Mineral: Naturally occurring, inorganic, homogenous,
solid, element or compound with a characteristic chemical
composition and definite crystalline structure.
Properties
Color: The color of the mineral. Color is not the best
property to use to identify minerals. Many minerals occur in multiple
colors, impurities in the chemical composition may alter the color.
Many different minerals occur in the same colors.
Luster: The way in which light is reflected off the minerals
surface.
Metallic – reflects light like a polished metal (such as
gold, silver, lead, bronze, and iron)
Submetallic – reflects light like a corroded metal (such
as cast iron or rust)
Vitreous – reflects light like glass (might not be
transparent)
Adamantine – reflects light like a diamond
Resinous – reflects light like amber
Pearly – reflects light like mother-of-pearl
Satiny – reflects light like satin or silt cloth, more
reflective in one direction
Greasy/oily - reflects light like an oil coated substance
Waxy - reflects light like a candle or a crayon
Dull/earthy – reflects light like dirt or rust
Streak Color: The color of the mineral when powdered.
Minerals softer than a Mohs hardness of seven can be powdered by
rubbing the sample on an unglazed porcelain plate. Minerals with a
hardness seven or higher must be crushed.
Cleavage: The tendency of some minerals to break along
parallel planar surfaces (parting: pseudo cleavage).
Habit: The form (shape) the mineral will grow if
unimpeded.
Acicular – needle like
Bladed - like a knife blade
Equant – roughly box-like or ball like e.g. cubic,
octahedral
Mammillary – rounded masses
Micaceous – thin sheets
Oolitic – small spheres (~1-3mm)
Prismatic – elongated with opposite parallel
faces
Tabular – flat, plate-like
Hardness: The minerals resistance to being scratched. In
1812 Friedrich Mohs created a scale using ten common rock forming
mineral to compare the differing hardnesses of all minerals. Starting
at the softest and proceeding to the hardest. 1. talc 2. gypsum 3.
calcite 4. fluorite 5. apatite 6. feldspars 7. quartz 8. topaz 9.
corundum 10. diamond. Besides Mohs’ minerals; there.
INTRODUCCIÓN A LOS ESTUDIOS DE MINERALES.pdfHenryBrown72
Introducción a los Minerales.
Manual para determinar los tipos de minerales, durante una exploración geológica.
Con este manual Usted determinara que tipo de mineral puede encontrar, de acuerdo a los indicios de tipo de roca y el análisis de mineralogía.
Es el mejor manual de cabecera para un geologo de exploraciones.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
When stars align: studies in data quality, knowledge graphs, and machine lear...
Lab for monday seven properties
1.
2. Turn to the lab manual-
• DIAGNOSITIC VS AMBIGUOUS
• LUSTER
• STREAK
• CRYSTAL HABIT
• BREAKAGE
• SPECIFIC GRAVITY
3. YOU WILL USE TABLE ONE
• On page 14
• Specimen number (1-24)
• Luster-for example-”metallic”
• Color-for example-”dark grey”
• Hardness-for example-”less than a finger nail”
• breakage_-exhibits cleavage In one direction
• Other diagnositcs-
4. Do this 24 times
Specimen
number
Luster Color Hardness breakage Other
diagnositcs-
5. • Hardness
• Lustre and diaphaneity
• Colour and streak
• Cleavage, parting, fracture, and tenacity
11. Hardness
• The hardness of a mineral defines how much
it can resist scratching. This physical property
is controlled by the chemical composition and
crystalline structure of a mineral
12. • A mineral's hardness is not necessarily
constant for all sides, which is a function of its
structure; crystallographic weakness renders
some directions softer than others.
13. • An example of this property exists in kyanite,
which has a Mohs hardness of 5½ parallel to
[001] but 7 parallel to [100].[60]
14. • The most common scale of measurement is
the ordinal Mohs hardness scale. Defined by
ten indicators, a mineral with a higher index
scratches those below it.
15. Mohs hardness scale
Mohs hardness Mineral Chemical formula
1 Talc Mg3Si4O10(OH)2
2 Gypsum CaSO4·2H2O
3 Calcite CaCO3
4 Fluorite CaF2
5 Apatite Ca5(PO4)3(OH,Cl,F)
6 Orthoclase KAlSi3O8
7 Quartz SiO2
8 Topaz Al2SiO4(OH,F)2
9 Corundum Al2O3
10 Diamond C
17. • Lustre indicates how light reflects from the
mineral's surface, with regards to its quality
and intensity. There are numerous qualitative
terms used to describe this property, which
are split into metallic and non-metallic
categories
18. • Metallic and sub-metallic minerals have high
reflectivity like metal; examples of minerals
with this lustre are galena and pyrite
20. Colour and streak
• Colour is typically not a diagnostic property of
minerals. Shown are green uvarovite (left) and
red-pink grossular (right), both garnets. The
diagnostic features would include
dodecahedral crystals, resinous lustre, and
hardness around 7.
21. streak
• The streak of a mineral refers to the colour of
a mineral in powdered form, which may or
may not be identical to its body colour.[66] The
most common way of testing this property is
done with a streak plate, which is made out of
porcelain and coloured either white or black.
The streak of a mineral is independent of trace
elements[62] or any weathering surface.[66]
22. streak
• A common example of this property is
illustrated with hematite, which is coloured
black, silver, or red in hand sample, but has a
cherry-red to reddish-brown streak. Streak is
more often distinctive for metallic minerals, in
contrast to non-metallic minerals
23. streak
• Streak testing is constrained by the hardness
of the mineral, as those harder than 7 powder
the streak plate instead
25. Cleavage
• Perfect basal cleavage as seen in biotite
(black), and good cleavage seen in the matrix
(pink orthoclase).
26. atomic arrangement
• By definition, minerals have a characteristic
atomic arrangement. Weakness in this
crystalline structure causes planes of
weakness, and the breakage of a mineral
along such planes is termed cleavage.
27. "perfect", "good", "distinct", and
"poor".
• The quality of cleavage can be described
based on how cleanly and easily the mineral
breaks; common descriptors, in order of
decreasing quality, are
"perfect", "good", "distinct", and "poor". In
particularly transparent mineral, or in
thin-section, cleavage can be seen a series of
parallel lines marking the planar surfaces
when viewed at a side.
28. quartz does not have a crystallographic
traits
• . Cleavage is not a universal property among
minerals; for example, quartz, consisting of
extensively interconnected silica
tetrahedra, does not have a crystallographic
weakness which would allow it to cleave. In
contrast, micas, which have perfect basal
cleavage, consist of sheets of silica tetrahedra
which are very weakly held together.
29. function of crystallography
• As cleavage is a function of
crystallography, there are a variety of cleavage
types. Cleavage occurs typically in either
one, two, three, four, or six directions. Basal
cleavage in one direction is a distinctive
property of the micas. Two-directional
cleavage is described as prismatic, and occurs
in minerals such as the amphiboles and
pyroxenes.
30. cubic (or isometric) cleavage
• Minerals such as galena or halite have cubic
(or isometric) cleavage in three directions, at
90°; when three directions of cleavage are
present, but not at 90°, such as in calcite or
rhodochrosite, it is termed rhombohedral
cleavage. Octahedral cleavage (four directions)
is present in fluorite and diamond, and
sphalerite has six-directional dodecahedral
cleavag
31. Tenacity
• Tenacity is related to both cleavage and
fracture. Whereas fracture and cleavage
describes the surfaces that are created when a
mineral is broken, tenacity describes how
resistant a mineral is to such breaking.
Minerals can be described as brittle, ductile,
malleable, sectile, flexible, or elastic.[73]
32. Go into groups-finish this lab today
• First exam in one this material
• Will email the power point to you now