The origin of the EIFS with drainage goes back to the 1990s. The idea of adding drainage came about due to a rash of water intrusion problems on houses in the southeast. Water had gotten behind the EIFS and ruined the supporting wood structure, causing a flurry of lawsuits and repairs, and sparking the interest of building code officials.

Event Begins: Thursday, November 14, 2024 11:30am
Location: Lorch Hall
Organized By: Department of Economics

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Elon Musk will co-lead a newly created Department of Government Efficiency in the Trump administration, president-elect Trump said late Tuesday. According to Trump’s press statement, the Department of Government Efficiency will […]

HVAC efficiency standards have changed in the U.S., creating an opportunity for Canadians dealers. Distributors and manufacturers in the Southeast and Southwest regions of the U.S. need to sell 13 SEER inventory by July 2016. Canadian dealers can purchase this equipment at significant savings.

Ameresco Inc. announced that it has partnered with the National Research Council of Canada (NRC) on a new energy savings project. The $3.9 million (CAD) comprehensive energy efficiency and facility renewal project at NRC research facilities is expected to save over $330,000 annually in utility costs.

Dogecoin, the cryptocurrency whose mascot is a super-cute dog that muses things like “much wow,” has been surging in value since Donald Trump won the presidential election last week.

President-elect Donald Trump is starting to round out his new administration and is already making unprecedented changes.

The new organization isn't an official department. It is charged with working from the outside of the government to offer the White House “advice and guidance."

The post Musk & Ramaswamy tapped to head government efficiency effort first appeared on Federal News Network.

Musk's Department of Government Efficiency to target "massive waste and fraud."

Google wants to solve Pixel phones' overheating and battery issues. But not without removing some serious features to save money.

By Aaron Stillman, Head of Product Marketing at Tresorit.

Research shows that 81 per cent of UK businesses handle digitised personal data, digitised non-personal data, or both, making secure and efficient data management crucial, particularly when critical transactions and confidential processes are at play. This is where virtual data rooms (VDRs) become invaluable.

Elon Musk’s favorite cryptocurrency Dogecoin spiked by as much as 20% Wednesday after the Tesla mogul was tapped by President-elect Donald Trump to lead a newly created “Department of Government Efficiency” — or DOGE. The meme coin, which features an image of a Shiba Inu breed dog and was created…

The incoming Trump administration’s solution to government spending is a new Department of Government Efficiency led by co-department chiefs: the world’s richest man and Trump’s former political opponent. But while on the surface the plan to cut government spending seems simple, the “department,”…

President-elect Donald Trump has appointed successful businessmen Elon Musk and Vivek Ramaswamy to help ferret out and identify budget items to cut to save the U.S. treasury money. Trump has created a new initiative that is being called the Department of Government Efficiency (DOGE) according to reports on Tuesday. “I am pleased to announce that […]

The post SLASHERS: Donald Trump Appoints Elon Musk, Vivek Ramaswamy to lead Department of Government Efficiency appeared first on The Lid.

Donald Trump has tasked Elon Musk with setting up a panel to streamline the US government. Although the president-elect has said little about how this group would operate, Musk has previously set an ambitious goal of cutting $2 trillion of spending.

Donald Trump, US President-Elect, has appointed Elon Musk, chief executive officer (CEO) of Tesla and SpaceX, to lead a soon to be established Department of Government Efficiency (DOGE). Musk, was a staunch supporter of Trump during the electioneering leading up to the November 5 presidential election in which the former president defeated Vice-President Kamala Harris […]

The post Trump appoints Elon Musk to lead department of government efficiency first appeared on Business Hallmark.

The Latin American and Caribbean region is a student with good grades in renewable energy, but not in energy efficiency, and has a long way to go in contributing to global climate action and overcoming the vulnerability of its population and economies. The recent energy crises in Ecuador and Cuba, with power outages ranging from […]

The Department of Government Efficiency (DOGE) went live on X Wednesday, giving the public a way to question and see how tax dollars are being spent.

US President-elect Donald Trump appointedElon Musk and Vivek Ramaswamy to lead the new Department of Government Efficiency (DoGE).

The award was presented at the 27th Energy Technology Meet in Bengaluru.

Dogecoin, the cryptocurrency whose mascot is a super-cute dog that muses things like "much wow," has been racing higher in value since Donald Trump won the presidential election last week. It got another bump after Trump named Tesla's Elon Musk as one of the heads of a new "Department of Government Efficiency," which is not a government agency but does have the acronym DOGE.

DHL has published  the 7th edition of the DHL Logistics Trend Radar, a biennial report that highlights the foremost social, business, and technological trends impacting the industry.

1. Donald Trump appoints Elon Musk, Vivek Ramaswamy to lead Dept of Government Efficiency | World News | Onmanorama  Onmanorama
2. DOGE days are coming for the US under Trump's two Musketeers  The Times of India
3. Donald Trump calls Elon Musk's department the 'Manhattan Project', know what was this project  India.com
4. When Vivek Ramaswamy was 18: School speech emerges as he readies for DOGE role  India Today
5. Internet reacts as Elon Musk debuts ‘super cute’ logo of Department of Government Efficiency: ‘What a time to be alive’  Hindustan Times

US President-elect Donald Trump on Tuesday named Elon Musk to a role aimed at creating a more efficient government, handing even more influence to the world’s richest man who donated millions of dollars to helping Trump get elected.

Musk and former Republican presidential candidate Vivek Ramaswamy will co-lead a newly created Department of Government Efficiency, an entity Trump indicated will operate outside the confines of government.

Trump said in a statement that Musk and Ramaswamy “will pave the way for my Administration to dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies”.

Trump said the new department will realise long-held Republican dreams and “provide advice and guidance from outside of government,” signalling the Musk and Ramaswamy roles would be informal, without requiring Senate approval and allowing Musk to remain the head of electric car company Tesla, social media platform X and rocket company SpaceX.

The new department would work with the White House and Office of Management & Budget to “drive large scale structural reform, and create an entrepreneurial approach” to government never seen before, Trump said.

The work would conclude by July 4, 2026 — the 250th anniversary of the signing of the Declaration of Independence.

Musk, ranked by Forbes as the richest person in the world, already stood to benefit from Trump’s victory, with the billionaire entrepreneur expected to wield extraordinary influence to help his companies and secure favorable government treatment.

With many links to Washington, Musk gave millions of dollars to support Trump’s presidential campaign and made public appearances with him.

Adding a government portfolio to Musk’s plate could benefit the market value of his companies and favoured businesses such as artificial intelligence and cryptocurrency.

“It’s clear that Musk will have a massive role in the Trump White House with his increasing reach clearly across many federal agencies,” equities analyst Daniel Ives of Wedbush Securities said in a research note.

“We believe the major benefits for Musk and Tesla far outweigh any negatives as this continues to be a ‘poker move for the ages’ by Musk betting on Trump,” Ives said.

The move was criticised by Public Citizen, a progressive consumer rights NGO that challenged several of Trump’s first-term policies.

“Musk not only knows nothing about government efficiency and regulation, his own businesses have regularly run afoul of the very rules he will be in position to attack in his new ‘czar’ position,” Lisa Gilbert, co-president of Public Citizen, said in a statement. “This is the ultimate corporate corruption.”

Maximum transparency promised

Trump likened the efficiency effort to the Manhattan Project, the US undertaking to build the atomic bomb that helped end World War Two, while Musk promised transparency.

“All actions of the Department of Government Efficiency will be posted online for maximum transparency,” Musk said on X, inviting the public to provide tips.

“We will also have a leaderboard for most insanely dumb spending of your tax dollars. This will be both extremely tragic and extremely entertaining,” Musk said.

Musk said at a Trump rally at Madison Square Garden in October that the federal budget could be reduced by “at least” $2 trillion. Discretionary spending, including defence spending, is estimated to total $1.9tr out of $6.75tr in total federal outlays for fiscal 2024, according to the Congressional Budget Office.

“Your money is being wasted and the Department of Government Efficiency is going to fix that. We’re going to get the government off your back and out of your pocketbook,” Musk said at the rally.

The acronym of the new department — Doge — also references the name of the cryptocurrency dogecoin that Musk promotes.

In August, Musk and Tesla won the dismissal of a federal lawsuit accusing them of defrauding investors by hyping dogecoin and conducting insider trading, causing billions of dollars of losses.

Dogecoin has more than doubled since Election Day, tracking a surge in cryptocurrency markets on expectations of a softer regulatory ride under a Trump administration.

Shares in Tesla fell on Wall Street ahead of the announcement but are up about 30 per cent since the election.

Ramaswamy is the founder of a pharmaceutical company who ran for the Republican presidential nomination against Trump and then threw his support behind the former president after dropping out.

In his 2021 bestseller Woke, Inc., Ramaswamy decried decisions by some big companies to base business strategy around social justice and climate change concerns.

Ramaswamy said the appointment means he is withdrawing from consideration for the pending US Senate appointment in Ohio, where Governor Mike DeWine will appoint a replacement for JD Vance, who will become Trump’s vice president when they are inaugurated on Jan. 20.

1. 'Massive downsizing': Vivek Ramaswamy reveals how he will ensure government efficiency under Trump  The Times of India
2. DOGE days are coming for the US under Trump's two Musketeers  The Times of India
3. Trump picks Musk, Ramaswamy to run new dept of govt efficiency  Hindustan Times
4. When Vivek Ramaswamy was 18: School speech emerges as he readies for DOGE role  India Today
5. Explained: How Musk's US Government Efficiency Panel Might Work  NDTV

Maximising fuel efficiency is a top priority for many automobile enthusiasts. Tuning your engine can significantly enhance performance and save costs. This guide explores advanced techniques to optimise your engine for better mileage, focusing on practical steps and real-world benefits. Understanding

Donald Trump has named tech gaint Elon Musk to head US Department of Government Efficiency (DoGE). Elon Musk is world's one of the most wealthiest man, with a Net Worth over $319 billion following the US Presidential elections. Before the US

(EMAILWIRE.COM, October 31, 2024 ) The UAV-Drone Propulsion Systems Market is forecasted to grow from USD 6,994 million in 2024 to USD 11,098 million by 2029, at a CAGR of 10.9%. As UAV applications expand across sectors like defense, government, and commercial use, demand is accelerating for more...

PRZOOM - Newswire (press release) - Tue, 12 Nov 2024 00:00:00 -0500, Chicago IL United States - Delivers industry-leading low on-state resistance, enabling simplified design and enhanced performance in battery energy storage and power supply applications - Littelfuse.com

1. Why is Elon Musk becoming Donald Trump's efficiency adviser?  BBC.com
2. Elon Musk, Vivek Ramaswamy to lead Trump's Department of Government Efficiency  Fox News

Logitech has introduced a range of Sync smart office tools designed to improve workplace efficiency and provide enhanced analytics for IT teams. The new suite includes Auto Book and Auto Release, which automate room reservations and cancellations based on user activity. Additionally, Logitech View offers interactive digital office maps to assist with navigation in large office spaces. Henry Levak, VP of Product at Logitech for Business, highlighted the AI capabilities of the tools, stating, “Rally Bars use AI in-camera sensors to automatically detect and respond to natural workplace behaviors with no human intervention needed.” This approach aims to simplify room… [Continue Reading]

1. Trump says Elon Musk, Vivek Ramaswamy will lead the Department of Government Efficiency  The Globe and Mail
2. Why is Elon Musk becoming Donald Trump's efficiency adviser?  BBC.com
3. Elon Musk and Vivek Ramaswamy will lead new 'Department of Government Efficiency' in Trump administration  CTV News
4. George Conway: Musk, Ramaswamy to lead ‘nonexistent department’  The Hill

The banking sector has experienced a substantial technological shift that has opened up new and better opportunities for its customers. Based on their technological expenditures, the study assessed the two biggest public Indian banks and the two biggest private Indian banks. The most crucial statistical techniques used to demonstrate the aims are realistic are bivariate correlations and ordinary least squares. This work aims to establish a connection between research and a technology index that serves as a proxy for operational efficiency. The results show that for both public and private banks, the technology index positively influences operational efficiency metrics like IT costs, marketing costs, and compensation costs. This suggests that when the technology index increases, so do IT, marketing, and compensation costs, even though it has been shown that the technology index favourably improves operational efficiency measures like depreciation and printing. This means that the cost to banks is high despite greater investment in technology for these activities.

The present study attempts to find out the determinants of FinTech adoption for financial inclusion by a microfinance institution in India. The factors such as efficiency, consistency, convenience, reliability are taken as predictors of organisational attitude. Similarly, organisational attitude, ease of use, and perceived benefits are considered as antecedents of organisational adoption intention of FinTech in microfinance institutions of India. The purposive sampling technique was used to get a filled survey instrument by target samples. The results indicate that convenience and consistency in the use of FinTech applications build a favourable attitude to adopt it. Furthermore, perceived benefits are the most important antecedents of the adoption intention of FinTech in the microfinance institution in India. Additionally, the reliability of the application has a positive but insignificant impact on organisational attitude to adopt FinTech. The implications of the present study are discussed.

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

Data envelopment analysis (DEA) is widely used in various fields and for various models. Inverted data envelopment analysis (inverted DEA) is an extended model of DEA. Regression analysis (RA) is a statistical process for estimating the relationships among variables based on the model of averaged image. There are no essential relations among DEA and RA and inverted DEA. We creatively combine DEA, RA and inverted DEA to propose a new model: DEA-RA-Inverted DEA model. The model realises the efficiency estimation and evaluation through a discussion of the residual variables and the residual ratio coefficients. In addition, we will demonstrate the effectiveness of the model by applying it to efficiency estimation and evaluation of 16 Chinese logistics enterprises.

This study looks at what happens to the collection of relationships (network) of service professionals during a role transition (promotion to a management role). Our setting is three professional service firms where we examine changes in relations of recently promoted service professionals (auditors, consultants, and lawyers). We take a comprehensive look at the drivers of two forms of network changes - tie loss and tie gain. Looking backward we examine the characteristics of the contact, the relationship, and social structure and identify which forces are at play in losing ties, revealing an overarching tendency for both cohesion and efficiency forces to play a role. Looking forward, we identify the effect of previous network structures that act as a "shadow of the past" and impact the quality of newly gained relations during the role transitions. Findings demonstrate that role transitions are not only influenced by a few key contacts but that the entire (extant) network of professional relationships shapes the way people reconfigure their workplace relations during a role transition.

The tech billionaire joins the incoming administration to "dismantle government bureaucracy" - but what's in it for both of them?

U.S. President-elect Donald Trump on Tuesday named Elon Musk and former Republican presidential candidate Vivek Ramaswamy to lead a newly created Department of Government Efficiency, rewarding two of Trump’s well known supporters from the private sector.

Musk and Ramaswamy “will pave the way for my Administration to dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies,“ Trump said in a statement.

Trump said the new department “will provide advice and guidance from outside of government,“ signaling the entity would operate outside the confines of government.

However, it would work with the White House and Office of Management & Budget to “drive large scale structural reform, and create an entrepreneurial approach” to government never seen before.

Trump said their work would conclude by July 4, 2026, making it a “gift” to the country on the 250th anniversary of the signing of the Declaration of Independence.

Musk, ranked by Forbes as the richest person in the world, already stood to benefit from Trump’s victory, with the billionaire entrepreneur expected to wield extraordinary influence to help his companies and secure favorable government treatment.

Musk gave millions of dollars to support Trump’s presidential campaign and made public appearances with him. Trump had said he would offer Musk a role in his administration promoting government efficiency.

He has many links to Washington, opens new tab and his lineup of companies includes electric car company Tesla (TSLA.O), opens new tab, social media platform X and rocket company SpaceX.

“This will send shockwaves through the system, and anyone involved in government waste, which is a lot of people!” Musk said, according to Trump’s statement, which called the new government initiative “potentially ‘The Manhattan Project’ of our time,“ referring to the U.S. plan to build the atomic bomb that helped end World War Two.

Ramaswamy is the founder of a pharmaceutical company who ran for the Republican presidential nomination against Trump and then threw his support behind the former president after dropping out.

“We will not go gently, @elonmusk,“ Ramaswamy said on X.

Musk reposted the announcement from Trump on his X account and added comments such as that, “The merch will be (fire),“ using three fire emojis, and, “People have no idea how much this will move the needle!”

He also posted: “Threat to democracy? Nope, threat to BUREAUCRACY!!!”

The acronym of the new department - DOGE - coincides with the name of the cryptocurrency dogecoin that Musk promotes.

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Tesla CEO and X owner Elon Musk speaks as Republican presidential nominee and US president-elect Donald Trump looks on during a rally at the site of the July assassination attempt against Trump, in Butler, Pennsylvania, US, October 5, 2024. — ReutersMusk and Ramaswamy to lead...

The acronym “DOGE” is a nod to Musk's favorite cryptocurrency, dogecoin.

The post Trump says Elon Musk, Vivek Ramaswamy will form outside group to advise White House on government efficiency appeared first on Boston.com.