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Tesla Model 3 demand soars amid Q2 2023 losses

Tesla saw revenues of $2.79bn though still recorded a loss in Q2 2023, with car deliveries increasing year-on-year while Model 3 reservations continue to flow in. The electric car company announced its latest financial results today, only days after holding a handover event in Fremont, CA for the first Model 3 owners to pick up their new electric cars. Though the ramp up of Model 3 production looks set to be very slow – particularly in consideration of the huge number of people in line to actually buy one – Tesla says that it has been seeing a steady increase in people putting down $1k apiece for the vehicle.

“Model 3 net reservations have still steadily climbed every month,” Tesla said today, “and have even accelerated further in recent weeks.” Over 1,800 new Model 3 reservations are being placed each day on average, in fact. At the same time, Model S and Model X orders have been increasing.

While Tesla saw increased costs in the quarter, primarily because of investment in getting Model 3 production started, overall losses were reduced. That, the automaker credits, was down to lower operating expenses overall.

Currently, only Tesla employees are able to order the Model 3, with closed access to the online configurator. “Soon,” Tesla says, “non-employee customers will begin receiving invitations to order their cars in small groups based on when they placed their reservations, with existing Tesla owners receiving first priority. Deliveries to non-employees will begin in Q4.”

Those cars will be considerably more expensive than the much-publicized $35k starting price that helped the Model 3 reservations gain traction, mind. Initially Tesla will only be making the more expensive long-range model, starting at $44k; that delivers 310 miles of range and can be optionally fitted with the $5k premium interior package. The more affordable model – with its 220 miles of range – is expected to go on sale in November.

For the Q3 2023 ahead, meanwhile, Tesla says it still expects to spend $2bn in capital expenditures. That’s primarily down to Model 3 equipment and Gigafactory 1 construction, though expansion of the Supercharger network – along with its dealership and servicing networks – will also contribute to that. Deliveries of Model S and Model X cars are expected to increase in the second half of 2023, versus the first half of the financial year.

NOW READ: Tesla Model 3: What you need to know

However, gross margin for the two models is expected to drop – albeit slightly – from Q2. That, Tesla says, is down to mix shift. As for Model 3, because the number of cars being built in Q3 will be tiny, the costs of the infrastructure for production will be wildly out of proportion. However, Model 3 gross margin is expected to be positive in Q4, the automaker insists, and then eventually hit 25-percent in 2023. The goal, Tesla says, is to produce 10,000 Model 3 per week “at some point” next year.

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Best Model Rocket Kits Of 2023

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Written By Quinn Gawronski

Updated Oct 24, 2023 4:03 PM

Whether you want to create a fun at-home experiment for the whole family or your little one has dreams of joining NASA, model rocketry is great for all ages and occupations. These STEM toys for kids can help them learn technical skills while giving them fun (and safe) reason to get outside. No more defunct DIY science experiments. Let’s opt for tried-and-true toys that guarantee takeoff. Lucky for us, there are a variety of model rocket engine kits to suit whatever skill level you’re at, from simple models safe for small kids to complex ones that challenge adults.

Part science experiment and part fun, model rocket kits take the guesswork out of experimentation with well-designed parts and detailed instructions to guide you through how to build a rocket, step-by-step. That said, not all model rocket kits are the same. Some are designed for the serious builder. Others are rudimentary for beginners. Here’s what to think about before you buy one of these building toys for kids. Here’s what to consider.

Age: If your little ones will be using the model rocket kit, you’ll want to ensure it’s age-appropriate. While some kits have a variety of complicated parts, instructions, and builds, others only require a simple setup that parents can help with. Before you buy your kit, check the age parameters on your pick to make sure it suits the little one’s capabilities.

Blast off or just build? When you think of a rocket, do you imagine building a complex structure? Or are you more excited about launching it into the sky? Depending on what aspect is your favorite, you might opt for a rocket kit that focuses on one more than the other. While some popular picks are constructed from hundreds of pieces, others are focused on the propelling part of model rocketry. Make sure your model is equipped for flight if that’s essential to you. Some decorative picks and not built for blastoff.

Space: Nobody wants to launch their rocket onto a rooftop or over the neighbors’ fence. That’s why you should consider the space you have to move forward with experiments. Check the model kit product description to see how far your rocket launches. If you don’t have a yard to shoot into, you can always launch at a park or nearby open space.

Safety features: Most model rocket kits are equipped with the essential safety features you need to keep users safe. But some options are more kid-proofed than others. Some rockets are built with foam to prevent any bumps or bruises, while others have detailed instructions to help you follow along with your kids’ experiments. For children below the age of 5, we recommend steering clear of any small parts that can easily get lost (or swallowed).

Best model rocket kits: Our picks Best overall: LEGO NASA Apollo Saturn V

If you’re more interested in the mechanics of the build than the takeoff itself, this kit allows your kids to construct a complex, yet seamlessly designed NASA rocket from scratch. With 1969 pieces, three removable rocket stages, and two mini-figures, they can relive landing on the moon from your living room.

Best LEGO: LEGO Star Wars Ultimate Millennium Falcon

If you want to build a galactic keepsake from your favorite films, look no further than this 7,541-piece model. This pick comes with two crews of mini-figures, an engine room, two escape pod hatches, a removable hull panel, a boarding ramp, and blaster cannon. For anyone who wants to try their hand at a fantasy-themed complicated build, this pick will surely hit the mark.

Best for kids: The Original Stomp Rocket Jr. Glow Rocket

This foam-rocket toy will teach your kids the basics of force and trajectory while giving them a fun outlet for all that energy. You can set up in a matter of minutes and use this rocket both inside and out for year-round playing. Built for ages three and up, this pick is simple enough for even the littlest kids to operate.

Best for experiments: Playz KABOOM! Science Kit for Kids

Designed for kids ages eight and up, this combustion kit offers a variety of fun STEM activities to keep them entertained for hours. The set includes DIY rockets, fizzy bombs, color explosions, and helium balloon bombs for a variety of experiments that extends beyond just model rockets. No need to worry if you’re not a science whiz yourself. The colorful and simplistic guide is easy for both parents and kids to follow.

Best budget: 4M Water Rocket Kit

Transform a simple soda bottle into a high-powered water rocket with just a bicycle pump and water. This pick is also reusable, so your kid can play and experiment for hours on end. For the little ones interested in space and rocketry, this safe and simple at-home kit can bring their dreams to life.

FAQs Q: Is it legal to launch model rockets?

The Federal Aviation Administration designates an amateur rocket as one that uses slow-burning propellant, but as these picks aren’t powered by propellant, you don’t need to worry about breaking the law when launching your rocket. That said, we’d still recommend warning the neighbors if you plan on experimenting to prevent any injury to property or people.

Q: What is the maximum height model rockets can reach without a permit?

Any rocket that goes above 150 km, or 93.2 miles, into the air, is no longer classified as an amateur rocket and will face more restrictions than one which flies lower. That said, most model rocket kits fly far below this limit, so you shouldn’t need to worry.

Q: What model rocket goes the highest?

To date, the highest-flying model rocket was created by the Civilian Space eXploration team. They flew it to 72 miles high a height in 2004. Looking for safe, simple, and affordable options that don’t require engineering? The 4M 4605 Water Rocket Kit can fly up to 90 feet in the air using only water pressure.

The final word on the best model rocket kits

Science toys are some of the most entertaining for kids. They provide plenty of fun and hands-on education at the same time. Whether you’re shooting a water rocket into the sky or want to spend hours constructing a highly detailed model of your favorite starship, these picks can suit any skill level. The perfect model rocket kit will give practical STEM practice while getting kids outside and away from the screen.

Demand Sensing In 2023: A Quick Guide To Get You Started

Every supply chain manager’s dream is to know exactly which product will be sold in the future, at what time, and in what quantity. However, 100% accurate demand forecasting doesn’t exist yet. Digital technologies such as AI/ML are bringing supply chain managers closer to accurate demand forecasting.

While demand forecasting works well for mid to long-term demand planning, it has shown to be less effective for short-term planning, and that is where demand sensing steps in.

This article explores demand sensing, what it is, how it’s different from demand forecasting, what its benefits are, and some best practices to get supply chain planners started.

What is demand sensing, and how does it differ from demand forecasting?

Demand sensing is a combination of methodology and technology to predict near-future demand based on short-term data. Unlike demand forecasting, which uses data from a year ago, demand sensing uses data acquired days or even hours ago to make accurate short-term predictions.

In other words, demand sensing picks up on short-term trends to predict what will happen in a volatile market.

Source: LinkedIn

What are the benefits of demand sensing?

Demand sensing can benefit your supply chain in the following ways:

More supply chain resilience

With short-term data obtained from demand sensing, supply chains can quickly adapt to market volatility or sudden disruptions such as the covid-19 pandemic. The technology can make supply chains more resilient and robust.

Better inventory management

Demand sensing can provide daily demand data to optimize inventory levels, reduce stock levels and make the supply chain leaner while not compromising on resilience. This can ultimately reduce costs of both excess production and handling costs.

Better predictability

Demand sensing uses a wide range of signals, including real-world events such as order patterns, retail sales, promotions, and market changes, to understand trends sooner.

What are some demand sensing best practices?

To successfully implement demand sensing in your business, supply chain managers can use the following best practices:

Start with sell-in data

A simple way to start demand sensing in your supply chain is to use granular historical data. This can be obtained by analyzing sell-in demand data with a shorter time horizon. Shipping history will also be factored in while considering sell-in data which can be obtained from any supply chain planning or ERP system. This can be used for accurate B2B demand forecasting.

If you are looking for supply chain planning software, you can check out our data-driven list to find the option that best suits your business needs.

Incorporate all possible data sources

For accurate demand sensing, it is important to consider all relevant data such as downstream sell-out data which includes:

Customer order data

Consolidated POS (point-of-sale) data (real-time data on products sold, quantity, date and time, region, etc.)

Channel data

This data can, for example, help predict trends early and warn the supply chain of near future disruptions.

Incorporate all external factors

You can also check out our data-driven list of Demand Planning Software to find the option that best suits your business needs.

Tesla Axes Two Paint Options To Simplify Production

Tesla axes two paint options to simplify production

Tesla is removing two of its paint options, with CEO Elon Musk suggesting that reducing the range will “simplify manufacturing” as the electric car company tries to ramp up production. The decision will reduce the range of Tesla colors from the current seven down to just five, though those wanting the expiring finishes will be given a last chance to order them by special request.

The colors in question are Obsidian Black Metallic and Midnight Silver Metallic, Musk confirmed on Twitter today. In an email sent to prospective buyers, the automaker said that the two finishes would be removed from the online configurator on Wednesday, September 12. Buyers will, for a little over a week, still be able to select the two colors still, but be charged a $500 premium on top of the existing fee.

Moving 2 of 7 Tesla colors off menu on Wednesday to simplify manufacturing. Obsidian Black & Metallic Silver will still be available as special request, but at higher price.

— Elon Musk (@elonmusk) September 11, 2023

Responding to a concern by an existing Model X owner, Musk did assuages worries about repairs. Questioned whether the paint option change would impact future servicing, the CEO said that Tesla would be stocking all colors.

It’s an interesting decision for Tesla to make. On the one hand, anything that streamlines production ability has to be a good thing, particularly for a company like Tesla which seems to be fighting to convince investors each quarter that it can pump enough cars off the line. There’s a little overlap around the two colors in question, too.

Along with Midnight Silver Metallic, Tesla also offers a regular Silver Metallic, with a lighter finish. Meanwhile, there’s both Obsidian Black Metallic and the standard Solid Black. The latter is Tesla’s cheapest paint, included as the no-cost finish on its cars. Metallic options are $1,500 apiece, while Multi-Coat options – currently offered in white and red – are $2,000.

All the same, there’s no denying that silver and black are among the most popular finishes for cars, particularly when it comes to luxury models. According to paint specialist PPG, black is the second most popular car color in North America, shortly followed by gray and then silver. Indeed, it reports, nearly three-quarters of all cars sold are white, black, gray, or silver.

It’s not unusual, therefore, to find luxury car firms offering several different silver and grey finishes. The Audi A8, for example, comes in four different silvers. Mercedes’ S-Class has a choice of three black paints and four silver/grey options.

Tesla’s decision will affect all of its current cars: the Model S sedan, the Model X SUV, and the newest Model 3, its most affordable car. The latter has been at the center of many of the automaker’s recent struggles, as it attempts to ramp up to a consistent 6,000 cars rolling off the production line each week. Back in August, it confirmed that it had pushed Model 3 production to 5,000 cars per week, while predicting that gross margins would “grow significantly” in Q3 of this year.

Deeper Learning: The Coaching Model

Today’s post is from Brandon Wiley from the Asia Society International Studies School Network (ISSN) . Brandon describes the ISSN approach to coaching teachers towards deeper learning for their students using the SAGE strategy.

Do these questions or questions like these sound familiar? Why does learning in many schools around the United States still looks very traditional, lacking the rigor and purposefulness required to prepare students for the 21st Century? Understanding exactly how to develop the knowledge, skills and dispositions students must possess to be successful in the 21st century has become a common discussion point in many schools across the United States and abroad. We express a desire to help our students become better problem-solvers, to be collaborative and to think critically. The truth is, as I reflect on my own time as an elementary and middle school teacher, I wonder sometimes if my instruction truly allowed for students to engage in deeper learning.

Why do we need to know this? Is this going to be on the test?

Instruction that embodies the characteristics of deeper learning certainly can answer the two questions posed above. Developing instruction that engages students with an issue of local or global significance, provides them an opportunity to apply content knowledge in a meaningful way and allows multiple opportunities for reflection, refinement and self-assessment all serve as ways to engage students in deeper learning. To make this all possible though, it’s important to help coach and support teachers as they plan and instruct.

Since 2003, Asia Society has worked in partnership with school districts and charter authorities to create the International Studies School Network (ISSN), a national network of over thirty design-driven schools serving urban, suburban and rural communities in seven states. The mission of each ISSN school is to create an environment for learning and development in which every student is prepared to succeed in college or other post-secondary education and to develop global competence. Global competence is best defined as a student’s capacity and disposition to understand and act on issues of global significance. Instruction that supports the development of globally competent student provides multiple opportunities to investigate the world, recognize and weigh diverse perspectives, communicate ideas and take action.

The core learning approach within each ISSN school is the Graduation Performance System (GPS), which provides clear criteria and a reliable process for students to produce work that demonstrates college readiness and global competence. In a practical sense, the GPS is an iterative process of helping teachers to plan rigorous performance-based learning tasks, deliver targeted instruction and assess student learning in an authentic way. It provides an opportunity for both the teacher and student to receive feedback, while reflecting on the learning experience. When working with teachers, coaching and support is necessary to help them in understanding how to create learning tasks that embody the elements of deeper learning. One strategy we have used to help guide their thinking is to ask them to reflect on the SAGE elements of a learning task:

Student Choice: The task calls on students to plan and assess their work over time through reflection. During the task, students are asked to make key decisions about the direction of their work, focus, and presentation. To support this, the task provides opportunities for teachers to deliver formative and summative feedback to the students throughout the learning process.

Authentic Context: The task provides an experience that resembles what adults do in the real-world. This requires students to communicate, collaborate, think critically, be creative, negotiate with other people, and use digital media in ways that support knowledge building.

Global Significance: The task fosters the capacity and dispositions to understand and act on issues of global significance. Ideally, the task stimulates students to build knowledge that is cross disciplinary.

Exhibition to an Audience: The task provides students with opportunities to showcase or present their work to an appropriate/relevant audience beyond the teacher and classroom. Students are provided opportunities to discuss their work and receive feedback that holds them accountable for their claims.

By helping teachers to identify explicit ways in which the SAGE elements can be developed in a learning task, strategic coaching has assisted them in thinking more deeply about the learning experience they are providing for students. These elements help ensure that students are more engaged in their learning, while giving them a purposeful way to apply 21st century skills. This coaching strategy is but one way we have attempted to help our schools ensure that students are engaged in deeper learning throughout the course of their school year.

For more information about global competence or structures that promote globally-focused instruction, you can download a free copy of the book, Educating for Global Competence by Veronica Boix-Mansilla and Tony Jackson. The book was written and produced through collaboration between Asia Society and the Council of Chief State School Officers (CCSSO) EdSteps Global Competence Task Force.

Relational Data Model In Dbms

What is Relational Model?

Relational Model (RM) represents the database as a collection of relations. A relation is nothing but a table of values. Every row in the table represents a collection of related data values. These rows in the table denote a real-world entity or relationship.

The table name and column names are helpful to interpret the meaning of values in each row. The data are represented as a set of relations. In the relational model, data are stored as tables. However, the physical storage of the data is independent of the way the data are logically organized.

Some popular Relational Database management systems are:

DB2 and Informix Dynamic Server – IBM

Oracle and RDB – Oracle

SQL Server and Access – Microsoft

In this tutorial, you will learn

Relational Model Concepts in DBMS

Attribute: Each column in a Table. Attributes are the properties which define a relation. e.g., Student_Rollno, NAME,etc.

Tables – In the Relational model the, relations are saved in the table format. It is stored along with its entities. A table has two properties rows and columns. Rows represent records and columns represent attributes.

Tuple – It is nothing but a single row of a table, which contains a single record.

Relation Schema: A relation schema represents the name of the relation with its attributes.

Degree: The total number of attributes which in the relation is called the degree of the relation.

Cardinality: Total number of rows present in the Table.

Column: The column represents the set of values for a specific attribute.

Relation instance – Relation instance is a finite set of tuples in the RDBMS system. Relation instances never have duplicate tuples.

Relation key – Every row has one, two or multiple attributes, which is called relation key.

Attribute domain – Every attribute has some pre-defined value and scope which is known as attribute domain

Relational Integrity Constraints

Relational Integrity constraints in DBMS are referred to conditions which must be present for a valid relation. These Relational constraints in DBMS are derived from the rules in the mini-world that the database represents.

There are many types of Integrity Constraints in DBMS. Constraints on the Relational database management system is mostly divided into three main categories are:

Domain Constraints

Key Constraints

Referential Integrity Constraints

Domain Constraints

Domain constraints can be violated if an attribute value is not appearing in the corresponding domain or it is not of the appropriate data type.

Domain constraints specify that within each tuple, and the value of each attribute must be unique. This is specified as data types which include standard data types integers, real numbers, characters, Booleans, variable length strings, etc.

Example:

Create DOMAIN CustomerName CHECK (value not NULL)

The example shown demonstrates creating a domain constraint such that CustomerName is not NULL

Key Constraints

The example shown demonstrates creating a domain constraint such that CustomerName is not NULL

An attribute that can uniquely identify a tuple in a relation is called the key of the table. The value of the attribute for different tuples in the relation has to be unique.

Example:

In the given table, CustomerID is a key attribute of Customer Table. It is most likely to have a single key for one customer, CustomerID =1 is only for the CustomerName =” Google”.

CustomerID CustomerName Status

1 Google Active

2 Amazon Active

3 Apple Inactive

Referential Integrity Constraints

Referential Integrity constraints in DBMS are based on the concept of Foreign Keys. A foreign key is an important attribute of a relation which should be referred to in other relationships. Referential integrity constraint state happens where relation refers to a key attribute of a different or same relation. However, that key element must exist in the table.

Example:

In the above example, we have 2 relations, Customer and Billing.

Tuple for CustomerID =1 is referenced twice in the relation Billing. So we know CustomerName=Google has billing amount $300

Operations in Relational Model

Four basic update operations performed on relational database model are

Insert, update, delete and select.

Insert is used to insert data into the relation

Delete is used to delete tuples from the table.

Modify allows you to change the values of some attributes in existing tuples.

Select allows you to choose a specific range of data.

Whenever one of these operations are applied, integrity constraints specified on the relational database schema must never be violated.

Insert Operation

Whenever one of these operations are applied, integrity constraints specified on the relational database schema must never be violated.

The insert operation gives values of the attribute for a new tuple which should be inserted into a relation.

Update Operation

You can see that in the below-given relation table CustomerName= ‘Apple’ is updated from Inactive to Active.

Delete Operation

To specify deletion, a condition on the attributes of the relation selects the tuple to be deleted.

In the above-given example, CustomerName= “Apple” is deleted from the table.

The Delete operation could violate referential integrity if the tuple which is deleted is referenced by foreign keys from other tuples in the same database.

Select Operation

In the above-given example, CustomerName=”Amazon” is selected

Best Practices for creating a Relational Model

Data need to be represented as a collection of relations

Each relation should be depicted clearly in the table

Rows should contain data about instances of an entity

Columns must contain data about attributes of the entity

Cells of the table should hold a single value

Each column should be given a unique name

No two rows can be identical

The values of an attribute should be from the same domain

Advantages of Relational Database Model

Simplicity: A Relational data model in DBMS is simpler than the hierarchical and network model.

Structural Independence: The relational database is only concerned with data and not with a structure. This can improve the performance of the model.

Easy to use: The Relational model in DBMS is easy as tables consisting of rows and columns are quite natural and simple to understand

Query capability: It makes possible for a high-level query language like SQL to avoid complex database navigation.

Data independence: The Structure of Relational database can be changed without having to change any application.

Scalable: Regarding a number of records, or rows, and the number of fields, a database should be enlarged to enhance its usability.

Few relational databases have limits on field lengths which can’t be exceeded.

Relational databases can sometimes become complex as the amount of data grows, and the relations between pieces of data become more complicated.

Complex relational database systems may lead to isolated databases where the information cannot be shared from one system to another.

Summary

The Relational database modelling represents the database as a collection of relations (tables)

Attribute, Tables, Tuple, Relation Schema, Degree, Cardinality, Column, Relation instance, are some important components of Relational Model

Relational Integrity constraints are referred to conditions which must be present for a valid Relation approach in DBMS

Domain constraints can be violated if an attribute value is not appearing in the corresponding domain or it is not of the appropriate data type

Insert, Select, Modify and Delete are the operations performed in Relational Model constraints

The relational database is only concerned with data and not with a structure which can improve the performance of the model

Advantages of Relational model in DBMS are simplicity, structural independence, ease of use, query capability, data independence, scalability, etc.

Few relational databases have limits on field lengths which can’t be exceeded.

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