ATV Desktop Remote
https://github.com/bsharper/atv-desktop-remote
A simple menubar app that allows you to control an Apple TV from your desktop
Control your Apple TV with the help of this small, yet useful application that embodies a virtual remote that will facilitate access to your TV’s settings and menus
Native Media Library Apps for Apple iPad
SW LIST 2026 ARCHIVES
| S.No | Category | Software | Link | Description |
| 1 | System Utility | Karen’s Directory Printer | Link | Prints lists of files, folders, and sub-folders with detailed attributes. |
| 2 | Data/CSV Editor | CSVed | Link | A powerful tool to manipulate, edit, and convert CSV files. |
| 3 | Media / E-reader | ComicRack CE | Link | Community-driven comic book manager and reader. |
| 4 | Scientific / Bio | Cytoscape | Link | Visualizes complex networks and biological pathways. |
| 5 | Crypto / Wallet | Bitcoin Core | Link | The backbone of the Bitcoin network; a full-node wallet. |
| 6 | Automation | DropIt | Link | Automates file sorting, moving, and processing via "drops." |
| 7 | Desktop / Wallpaper | MultiWall | Link | Tool for managing wallpapers across multiple monitors. |
| 8 | Web / Design | SnakeNest | Link | Likely related to the Snakenest web/design portfolio or agency. |
| 9 | Benchmarking | PassMark | Link | Software for PC benchmarking and hardware stress testing. |
| 10 | UI / Utility | OnTopReplica | Link | Creates a real-time, always-on-top clone of any window. |
| 11 | System Utility | Copernic (Petges) | Link | Home to various tools like "Conner" or older system utilities. |
| 12 | Security | AES Crypt | Link | Simple, file-level encryption using the AES standard. |
| 13 | Scientific / Physics | itom | Link | Open-source software for laboratory automation and optics. |
| 14 | Development / Hex | 010 Editor | Link | Professional-grade text and hex editor with binary templates. |
How to Remove AI From Your Google Chrome Experience
To force Chrome’s search to return a list of plain ol’ website results:
Open up Chrome’s settings or enter chrome://settings in the search bar.
Click on “Search engine” in the left menu.
Click on “Manage search engines and site search” to bring up a list of the search engines available in Chrome.
Click “Add” in the “Site search” section to launch the “Add site search” dialog.
Enter Google Web in the “Name” field.
Enter @web in the “Shortcut” field.
Enter {google:baseURL}search?q=%s&udm=14 in the “URL with %s in place of query” field.
Click “Add” to save your changes. You should now see “Google Web” in the “Site search” list.
Click the three vertical dots next to the newly added “Google Web” option and select “Make default” in the popup menu. The “Google Web” option should now be appear in the “Search engines” list as your default search engine.
Now, when you do a search in Chrome, your results should just be a simple list of web links, as God intended. You can further verify that the above is working if you see udm=14 in Chrome’s search bar or if the “Web” tab is selected. (Note: The above process can also be done in other browsers, not just Chrome; more info at tenbluelinks.org.)
As for disabling Chrome’s “AI Mode,” that can be done via browser flags:
Enter chrome://flags in the search bar. This brings up a list of experimental browser features that can be toggled on or off.
Search for “AI Mode Omnibox entrypoint.”
Set “AI Mode Omnibox entrypoint” to “Disabled.”
Relaunch Chrome.
As for disabling Chrome’s “AI Mode,” that can be done via browser flags:
Enter chrome://flags in the search bar. This brings up a list of experimental browser features that can be toggled on or off.
Search for “AI Mode Omnibox entrypoint.”
Set “AI Mode Omnibox entrypoint” to “Disabled.”
Relaunch Chrome.
Finding Barry Zane: Database Innovator & Architect.
Barry Zane — a name so famous in analytics. But let’s start with a story, a story about where some people ended up in 2024. We’ll look at some of the companies they founded and worked for, and the products they created during their time there, in the course of finding Barry Zane.
This article is primarily sourced from the internet, including webpages and archived pages. References are provided at the end.
Barry Zane earned a BS in Electrical Engineering from Carnegie Mellon University, where he studied from 1973 to 1978.
As Barry likes to say in his own words: “I have a passion for working with teams focused on high-performance analytic data products. I have been fortunate to work with start-up teams at Applix and Netezza, both ultimately acquired by IBM after being publicly traded companies. I’ve also been lucky enough to start ParAccel, which is now part of Actian, and SPARQL City, whose product is now part of Cambridge Semantics. I am now part of Katana Graph, surrounded by brilliant people pushing the edge of graph computing, ML, and AI.”
Prime Computer (1978 -1982)
Barry began his career at Prime Computer in 1978 as a hardware engineer and eventually took on various roles in software development and management, holding key development and management positions during his tenure. Prime Computer, Inc., based in Natick, Massachusetts, produced minicomputers from 1972 until 1992. With the advent of PCs and the decline of the minicomputer industry, Prime was forced out of the market in the early 1990s, and by the end of 2010, the trademarks for both PRIME and PRIMOS no longer existed.
Applix (1983 – 2005)
Meanwhile, Applix was founded by Jit Saxena. Mr. Jitendra Saxena received his B.Tech. in Electrical Engineering from IIT Bombay in 1966, later obtained an M.S. from Michigan State University in 1968, and earned an MBA from Boston University in 1973.
Applix Inc. was a computer software company founded in 1983 based in Westborough, Massachusetts that published Applix TM1, a MOLAP database server, and related presentation tools, including Applix Web and Applix Executive Viewer. Together, Applix TM1, Applix Web and Applix Executive Viewer were the three core components of the Applix Business Analytics Platform.
Applix pioneered decision support applications for the open environments. Applix became a public company (NASDAQ—APLX) in 1994.
Before joining Applix, Mr. Saxena served the Data General Corporation as a senior executive in marketing and product development. Data General Corporation was one of the first minicomputer firms of the late 1960s.Three of the four founders of DGC were former employees of Digital Equipment Corporation (DEC). [i]
[i] “Data General Business Basic,” in Wikipedia, July 24, 2024, https://en.wikipedia.org/w/index.php?title=Data_General_Business_Basic&oldid=1236408816.
In a major business pivot, in 1989 DG released the AViiON series of scalable Unix systems which spanned from desktop workstations to departmental servers. This scalability was managed through the use of NUMA, allowing a number of commodity processors to work together in a single system.
Following AViiON was the CLARiiON series of network-attached storage systems which became a major product line in the later 1990s. This led to a purchase by EMC, the major vendor in the storage space at that time. EMC shut down all of DG’s lines except for CLARiiON, which continued sales until 2012.
Mr. Zane was CTO at Applix Inc., which he joined shortly after it was founded in 1983 and held several key development positions at the company before being CTO in 1991. He was responsible for the development of Applixware, and was part of the senior management team that led Applix to a successful initial public offering (IPO) in 1994.
On October 25, 2007, Applix was acquired by Cognos. Cognos rebranded all Applix products under its name following the acquisition. On January 31, 2008, Cognos was itself acquired by IBM. Prior to OLAP industry consolidation in 2007, Applix was the purest OLAP vendor among publicly traded independent business intelligence vendors, and had the greatest growth rate. TM1 is now marketed as IBM Cognos TM1; version 10.2 became publicly available on September 13, 2013.
Netezza (2000 -2006)
Netezza was founded in 1999 by Foster Hinshaw along with Jit Saxena. In 2000 Jit Saxena joined Hinshaw as co-founder. Jim Baum was appointed CEO of Netezza in January, 2008 after co-founder Jit Saxena announced his retirement. Baum started at Netezza as chief operating officer in 2006. Prior to joining Netezza, Baum was president and CEO of Endeca in Boston for five years. [i].
[i] “Endeca,” in Wikipedia, November 16, 2023, https://en.wikipedia.org/w/index.php?title=Endeca&oldid=1185358442.
Barry Zane was a co-founder and VP of Technology & Architecture at Netezza, which after a successful IPO, was acquired by IBM in 2010.
He was a co-founder and VP of Technology & Architecture at Netezza, which after a successful IPO, was acquired by IBM.
Overall, the founders of Netezza are Jit Saxena, Barry Zane, John Metzger and Foster Hinshaw (Hinshaw left Netezza to found Dataupia in 2005).
Barry served as Vice President of Technology of Netezza Corporation from 2000 to 2005, and was responsible for guiding all aspects of software architecture and implementation, from initial prototypes through volume shipments to leading telecommunications, retail and internet customers.
Netezza announced the industry’s first “data warehouse appliance” in 2003 to meet the industry’s need to make use of the rapidly increasing ability to collect consumer data. In July 2007, Netezza Corporation had its initial public offering under the ticker “NZ” on NYSE Arca.
While at Netezza he was member of some patent awards. Netezza,” a database appliance product based on PostgreSQL. “Netezza” was developed by rethinking what an enterprise DWH appliance is, and by integrating innovative architecture, servers, databases, and storage into a single machine, it made it possible to analyze large amounts of data.(Zane 2007)
Patents
- Limiting scans of loosely orders and/or grouped relations using neatly ordered maps
- Disk mirror architecture for database appliance with locally balanced regeneration
- Optimized SQL code generation
- SQL code generation for heterogeneous environment
- Performing sequence analysis as a relational join
- Performing sequence analysis as a multipart plan storing intermediate results as a relation
- Optimized database appliance
- Network interface for distributed intelligence database system
ParAccel (2005 – 2013)
ParAccel
ParAccel was an American software company that developed a high-performance, column-oriented, massively parallel processing (MPP) analytic database management system. The company was founded in 2005 by Barry Zane, who served as Chief Technology Officer (CTO), and Tom Clancey, who was interim Chief Executive Officer (CEO). ParAccel’s technology later became the foundation for Amazon Redshift, Amazon Web Services’ cloud-based data warehousing product.
History
ParAccel was officially incorporated in February 2006, following the acquisition of intellectual property from XPrime, a company that ceased operations in 2005. The initial funding came from angel investors.
In August 2006, ParAccel secured its first round of venture capital financing from Mohr Davidow Ventures, Bay Partners, and Tao Venture Partners.
By 2007, the company was headquartered in San Diego, California, with an additional office in Ann Arbor, Michigan. David J. Ehrlich served as CEO, and Bruce Scott was Vice President of Engineering. A second funding round of US$20 million was completed in November 2007, led by Walden Ventures, followed by the opening of a new office in Cupertino, California.
A third funding round of US$22 million took place in June 2009, led by Menlo Ventures. In January 2010, Mark Lockareff replaced Ehrlich as interim CEO. That year, The Wall Street Journal listed ParAccel among its Top 50 Venture-Backed Companies. In April 2010, ParAccel achieved record performance results in the TPC-H benchmark at a 1 TB scale using VMware. Charles W. Berger was appointed Chairman and CEO in September 2010.
In 2011, ParAccel introduced a cloud edition of its analytic software and was recognized as a Red Herring Top 100 North America winner. During its July 2011 funding round, Amazon.com joined as a lead investor.
In December 2012, Amazon Web Services announced Amazon Redshift, a cloud-based data warehousing service built using ParAccel’s core technology. In April 2013, ParAccel was acquired by Actian Corporation, a data management and analytics company based in Santa Clara, California. Following the acquisition, CEO Charles W. Berger left to become CEO of Extreme Networks.[ii]
Products and Technology
ParAccel initially developed two products:
- Amigo, a query acceleration layer designed to enhance performance on existing data warehouses while maintaining them as systems of record.
- Maverick, a stand-alone data store that evolved into the ParAccel Analytic Database (PADB).
The ParAccel Analytic Database (PADB) was a software-only, columnar, massively parallel processing (MPP) relational database designed for high-performance analytic workloads. PADB utilized a shared-nothing architecture, columnar storage, adaptive compression, and a memory-centric design. Initially based on PostgreSQL, ParAccel introduced a proprietary query optimizer called Omne, which underwent major updates in subsequent releases, including version 3.1 in June 2011.
PADB supported compiled query execution and featured a proprietary interconnect protocol for inter-node communication. The company also developed On-Demand Integration (ODI) modules to integrate external analytics and data sources.
ParAccel’s technology included high-speed connectors for integrating with other database systems, such as Teradata, Hadoop, and Oracle, enabling rapid data transfer between systems. This allowed customers to extend the life and value of their existing infrastructure while adopting modern analytic capabilities.
Performance and Use Cases
ParAccel’s analytic database was designed to deliver ultra-fast query performance, often returning results in seconds or sub-seconds. The company claimed that its combination of MPP architecture and columnar technology enabled performance improvements beyond those of traditional row-based systems such as Teradata or Netezza.
By 2011, ParAccel’s technology had been adopted by approximately 50 enterprises across various industries, including financial services, retail, online media, and government agencies. Notable customers included Goldman Sachs, OfficeMax, Yahoo, and several U.S. intelligence agencies. These organizations used ParAccel’s platform to gain deeper business insights, improve fraud detection, optimize operations, and manage costs more effectively.[i]
In the financial sector, ParAccel was credited with improving credit card fraud detection and outperforming previous systems in real-time analytics performance.
Relationship with Amazon Redshift
In 2011, Amazon.com became a lead investor in ParAccel. Subsequently, Amazon Redshift, announced in December 2012 and released in early 2013, was developed based on ParAccel’s MPP database technology. Redshift adopted the columnar storage and distributed query processing concepts pioneered by ParAccel, integrating them with Amazon’s cloud infrastructure.
Acquisition by Actian Corporation
ParAccel was acquired by Actian Corporation in April 2013. The company’s database technology became part of Actian’s Matrix product line, focused on big data analytics. Barry Zane continued to work at Actian following the acquisition, contributing to the Matrix high-performance analytics platform.[i]
Founders and Leadership
- Barry Zane – Co-founder and Chief Technology Officer (CTO); previously co-founder of Netezza.
- Tom Clancey – Interim Chief Executive Officer (CEO) during ParAccel’s formation.
- David J. Ehrlich – CEO (2007–2010).
- Mark Lockareff – Interim CEO (2010).
- Charles W. Berger – Chairman and CEO (2010–2013).
- Bruce Scott – Vice President of Engineering.
- Rich Ghiossi – Vice President of Marketing.
- John Santaferraro – Vice President of Product Marketing.
Competitors
ParAccel competed with several other analytic database and data warehouse vendors, including:
- Greenplum (later part of Pivotal Software)
- EXASOL
- Vertica (from Hewlett-Packard)
- Netezza (from IBM)
- Oracle Corporation
- Teradata, including Aster Data Systems
Legacy
ParAccel’s elastic, petabyte-scale MPP technology was among the first to offer on-demand scalability in the cloud. The database could be deployed dynamically across clusters without manual provisioning or specialized hardware. The company’s innovations directly influenced modern analytic database architectures, particularly Amazon Redshift.
After its acquisition, ParAccel’s core technology and personnel continued under Actian, contributing to the Matrix big data analytics platform and influencing subsequent developments in high-performance, distributed data systems.
References
[i] “ParAccel Delivers a High-Performing Platform for Big Data Analytics.” Business Software, accessed August 9, 2024.
[ii] “Extreme Networks Appoints Charles W. Berger as Its President and Chief Executive Officer.” Extreme Networks, Inc., accessed August 9, 2024.
Additional references:
- “Hashing Out an Architecture for Advanced Analytics.” TDWI, March 31, 2010.
- “Serial Entrepreneur Barry Zane Raises $10M for SPARQL City.” Mattermark, August 7, 2024.
- Wikipedia: ParAccel
SPARQL City (2012 – 2016)
Barry Zane had then now founded a company called SPARQL City in 2013, where he appears to be developing a scalable graph analysis engine based on Hadoop that runs on commodity hardware. The need for a graph-based online analytics processing (graph OLAP) database started to emerge in the market and based on this market need, Barry founded. Venkannababu Tammisetti was a colleague at Netezza.
SPARQL City develops SPARQLBASE, which helps data analysts and data scientists understand and manipulate big data. Barry Zane, Co-Founder & CEO at SPARQL City. Babu Tammisetti, Co-Founder at SPARQL City. Sparql City, Inc Dec 31, 2012.
The need for a graph-based online analytics processing (graph OLAP) database started to emerge in the market and based on this market need, Barry founded SPARQL City in 2013. SPARQL City is devoted to the open-source and commercial versions of SPARQLverse, very high performance, and highly scalable analytics on schema-less NoSQL databases using the W3C-standard SPARQL query language extended with advanced analytic functions. SPARQLverse product development began in late 2011 by a team of highly experienced and talented massively-parallel database system engineers. The company’s developers are headquartered in the San Diego and Boston areas.
We are currently looking for additional development, support, QA, and documentation engineers interested in devoting the next stage of their careers to the success of this product. In the development area, we are looking for talented C++/Java/HTML engineers to create management and monitoring GUIs and interfaces with other products in RDF/SPARQL and related “Big Data” space, including relational databases. All positions include stock options, benefits, and compensation competitive with startup corporations. If you would like to be considered for either current or future phases,
W3C SPARQL 1.1 Overview for information about the W3C SPARQL 1.1 specifications and query language
Turtle serialization format for information about load file specifications Query results (XML format) and Query results (JSON format) for information about query result formats.
Cambridge Semantics saw the value in graph analytics early on and was one of the first customers for SPARQL City. They acquired us in 2016. Late in 2018 we took the graph engine underneath Anzo and spun it out as its own product called AnzoGraph.
In a mattermark article it was mentioned that in an email from Barry that SPARQLBASE product was under development at ParAccel (aka Amazon Redshift), which was acquired by Actian about 4 moths ago, We are a spin-out corporation from Actian. The SPARQLBASE product was under development at ParAccel (aka Amazon Redshift), which was acquired by Actian about 4 months ago.
It is a NoSQL product with a combination of open-source and commercial versions. The latter will be available through Actian for enterprise accounts.
Actian led the Series “A” and we expect other investors to be added in, before a traditional VC-based Series “B”. At this time, I cannot comment whether there will be addition board seats for the A+ investors or even their names.
Babu Tammisetti is a Vice President of HANA GraphDB at SAP
https://www.linkedin.com/in/tammisetti/
Cambridge Semantics (2016 – 2021)
Barry Zane is VP of Engineering at Cambridge Semantics. He brings substantial product development experience and industry expertise in building large-scale products for data analysis.
Their biggest distinction, however, is well summarized by Cambridge Semantics VP of Engineering Barry Zane, who observed, “Graphs sound new and spooky and dangerous and so forth, unless you’re a total geek. The reality is it’s enormously simpler than what you’ve been doing in data warehousing. You can get the same results from the same questions, but it’s all just a lot easier with graphs.”
In 2016, “Cambridge Semantics, the leading provider of Smart Data analytic and data management solutions driven by semantic web technology, announced that it has acquired the intellectual property of SPARQL City and hired former CEO and founder Barry Zane and other top executives from the firm. VP of Technology Babu Tammisetti
This acquisition enables Cambridge Semantics to expand its award-winning Anzo Smart Data Platform to offer unprecedented big data scale and value for enterprise-wide data lake and analytic initiatives.”
Chuck Pieper, CEO of Cambridge Semantics, commented,
“We believe this IP acquisition is a game-changer for big data analytics and smart data discovery… When coupled with our Anzo Smart Data Platform, no one else in the market can provide a similar end-to-end, semantic- and graph-based solution providing for data integration, data management and advanced analytics at the scale, context and speed that meets the needs of enterprises.
The SPARQL City in-memory graph query engine allows users to conduct exploratory analytics at big data scale interactively.”
April 18, 2024 —
Altair (Nasdaq: ALTR) a global leader in computational intelligence, acquired Cambridge Semantics, a modern data fabric provider and creator of one of the industry’s leading analytical graph databases. Cambridge Semantics’ graph-powered data fabric technology accelerates the creation of comprehensive enterprise knowledge graphs, integrating the complex web of structured and unstructured enterprise data together into a single, simplified view.
Barry was co-founder and CEO of SPARQL City where he served as VP of Technology, whose high-performance scalable graph database technology has been acquired by Cambridge Semantics and integrated within its Smart Data Lake and other offerings
https://www.linkedin.com/company/sparql-city/
Katana Graph (2021 – 2022)
Barry Zane was the VP Engineering at Katana Graph Dec 2021
Katana Graph is a company focused on data intelligence, operating within the technology and artificial intelligence sectors. The company offers a graph intelligence platform that uses advanced algorithms and neural network architecture to provide insights from large data sets, with applications in areas such as fraud detection, identity management, and drug discovery. Katana Graph primarily serves sectors such as financial services, health and life sciences, and security. It was founded in 2020 and is based in Austin, Texas. Katana Graph is a graph computing, AI, and analytics platform company, addressing the current graph technology challenges with an innovative, end-to-end approach in graph algorithms, storage technologies, hardware acceleration, and a sophisticated graph engine.
The Katana Graph co-founders – Keshav Pingali (CEO) and Chris Rossbach (CTO) – are talented deep technology researchers and scientists with industry engineering experience. More than a decade of advanced research in graph technology and high-performance computing at the University of Texas at Austin has culminated in the technology behind Katana Graph. Keshav and Chris have built an incredible team, attracting talent from top technology companies and universities with graph algorithms, graph mining and AI, distributed computing systems, operating systems architects, and non-volatile memory file systems expertise.
Katana Graph, a graph processing, AI and analytics company, helps corporations extract actionable insights from massive unstructured data sets in order to solve complex challenges ranging from drug discovery to fraud detection. In the twelve months since its launch the company has raised $28.5 million in a round led by Intel Capital and secured clients in the pharmaceutical, financial services, security and electronic design automation sectors. For Katana Graph key investors Intel Capital, Dell Technologies Capital, Celesta Capital and Redline Capital.
Chris Rossbach CTO / Co-Founder Professor UT Austin, MSRVM Ware, Canesta
Keshav Pingali Keshav Pingali CEO / Co-Founder Professor UT Austin, Fellow ACM, IEEE, AAAS
Katana Graph develops performance graph databases designed to interact with unstructured data. Katana Graph develops technologies to help people and businesses unleash the immense potential of their large-scale irregular and unstructured data. The company’s platform combines algorithms, hardware acceleration, and emerging storage technologies to provide a graph database, graph analytics, and graph mining workloads with multiple orders of magnitude performance improvements.
Barry Zane is currently living in San Diego, La Jolla, California. As of June 2022, he is retired and self employed.
Notable patents and patent-applications by Barry M. Zane, showing his key work in database/analytics technologies:
Highlights & observations:
- Zane is credited with ~22 patent filings according to one profile. ScholarGPS+1
- Many of the patents address query execution, code generation, and database appliance/distributed database architectures — areas consistent with his known work in high-performance analytics.
- The optimized SQL code generation patents (e.g., US 7,430,549 B2) are among the more cited and foundational in his portfolio.
| Patent No. / Application No. | Title / Abstract Summary | Filing / Publication Dates & Notes |
|---|---|---|
| US 7,430,549 B2 | “Optimized SQL Code Generation” — method for generating executable machine code for query execution plans in database systems. (Patent Images) | Filed Jul 7 2004; Granted Sep 30 2008. (Patent Images) |
| WO 2005008529 A8 | “Optimized SQL Code Generation” (international application) — similar concept of generating machine‐code for query plans. (Google Patents) | PCT filed Jul 7 2004; Published Apr 07 2005. (Google Patents) |
| EP 1649344 A4 | “SQL Code Generation for Heterogeneous Environment” — adapting code generation to heterogeneous machine types/environments. (Google Patents) | Filed Jul 7 2004; Publication Feb 10 2010. (Google Patents) |
| US Application 2008/0281784 A1 | “Query Handling in Databases with …” — query handling methods in database appliances. (Unified Patents) | Filed May 8 2007; Published Nov 13 2008. (Unified Patents) |
| US Application 2008/0046438 A1 | “Network Interface for Distributed Intelligence Database System” — distributed database appliance with internetworked data storage units. (Justia Patents) | Filed Sep 11 2007; Published Feb 21 2008. (Justia Patents) |
| US Application 2006/0129542 A1 | “Optimized Database Appliance” — system for cost & locale-based distribution of query execution in a database appliance. (Justia Patents) | Filed Jan 13 2006; Published Jun 15 2006. (Justia Patents) |
| US Application 2005/0097103 A1 | “Performing Sequence Analysis as a Multipart Plan Storing Intermediate Results as a Relation” — integrating sequence analysis (e.g., biological sequence data) with relational database operations. (Justia Patents) | Filed Sep 17 2004; Published May 5 2005. (Justia Patents) |
| US Application 2005/0091238 A1 | “Performing Sequence Analysis as a Relational Join” — another variant of integrating sequence-analysis within relational join frameworks. (Justia Patents) | Filed Sep 17 2004; Published Apr 28 2005. (Justia Patents) |
| US Application 2005/0022051 A1 | “Disk Mirror Architecture for Database Appliance with Locally Balanced Regeneration” — managing disk failure / mirroring for database appliance resilience. (Justia Patents) | Filed Jul 6 2004; Published Jan 27 2005. (Justia Patents) |
| US Application 2005/0010564 A1 | “Limiting scans of loosely ordered and/or grouped relations using nearly ordered maps” — reducing scans by using extents statistics for database operations. (Justia Patents) | Filed May 18 2004; Published Jan 13 2005. (Justia Patents) |
| U.S. Patent 5,692,847 | “Loose Leaf Binder Assembly and Spine Therefor” — a non-database invention by Zane, showing earlier patenting activity outside his later domain. (Justia Patents) | Filed Mar 19 1996; Granted Dec 2 1997. (Justia Patents) |
host file block list
hosts file for blocking basically all Google connections
https://gist.github.com/unixb0y/4973fece2d5099bd53143a18a54318f3
https://raw.githubusercontent.com/mdp43140/BaDomain/main/misc/NoRoblox_hosts.txt
FIX: KB5066835 & Installer encountered an error: 0x80242008
if you even download the mentioned patch from Microsoft windows update catalog and still get this error:
windows11.0-kb5066835-x64_2f193bc50987a9c27e42eceeb90648af19cc813a.msu
Windows Update Standalone Installer
Installer encountered an error: 0x80242008
Try
dism /online /cleanup-image /startcomponentcleanup
6899 (SUB VERSION AFTER UPDATE FOR 2024)
Initializing installation… done!
Installing Security Update for Windows (KB5066835) (update 1 of 1)…
TAKES 20 MINS / REBOOT NEEDED / TESTED ON A FRESH WINDOWS BUT WITH ALL APPS ETC/
iPod 4th gen in 2025
https://en.wikipedia.org/wiki/ITunes
https://www.youtube.com/watch?v=V7dlddG8pAk
https://en.wikipedia.org/wiki/IPod_Touch_(4th_generation)#cite_note-9
<p>Navigate to the following location: <code>C:\Program Files\iPod\bin</code> (or <code>C:\Program Files (x86)\iPod\bin</code> if you have a 32-bit version).</p> <p>sc delete "iPod Service"</p> <p><a title="https://tlsroot.litten.ca/" href="https://tlsroot.litten.ca/">https://tlsroot.litten.ca/</a></p> <p><a title="https://cydia.saurik.com/" href="https://cydia.saurik.com/">https://cydia.saurik.com/</a>
dism repair command
To repair Windows using DISM (Deployment Image Servicing and Management), follow these steps:
1. Open Command Prompt as Administrator
Press Win + R, type cmd, and press Ctrl + Shift + Enter to open it as an administrator.
2. Check for Component Store Corruption
Run:
DISM /Online /Cleanup-Image /CheckHealth
This checks if corruption is detected but does not repair anything.
3. Scan for Corruption
Run:
DISM /Online /Cleanup-Image /ScanHealth
This performs a deeper scan to determine if corruption exists.
4. Repair Windows Image
If corruption is found, run:
DISM /Online /Cleanup-Image /RestoreHealth
This will attempt to repair the Windows image using Windows Update.
5. (Optional) Use an Alternate Source
If DISM fails due to missing files, use an external Windows installation source (like a mounted ISO or USB):
DISM /Online /Cleanup-Image /RestoreHealth /Source:D:\Sources\install.wim /LimitAccess
Replace D: with the actual drive letter of the installation media.
6. Restart and Run SFC
After running DISM, restart your computer and run:
sfc /scannow
To run DISM in offline mode, follow these steps:
1. Get a Windows Installation Source
You’ll need a Windows installation ISO or a bootable USB drive. Mount it or insert the USB.
2. Identify the Drive Letter
Determine the drive letter of the installation media by running:
diskpart
list volume
exit
Find the drive letter where install.wim or install.esd is located (usually in Sources folder).
3. Check Windows Image Health (Optional)
If you want to check for corruption first:
DISM /Image:C:\ /Cleanup-Image /ScanHealth
Replace C:\ with the drive where Windows is installed.
4. Repair Windows Image Using an Offline Source
Use the following command (adjust the source path as needed):
DISM /Image:C:\ /Cleanup-Image /RestoreHealth /Source:D:\Sources\install.wim /LimitAccess
Replace C:\ with your Windows installation drive.
Replace D:\ with the installation media drive letter.
If install.wim is inside an index, specify it:
DISM /Image:C:\ /Cleanup-Image /RestoreHealth /Source:D:\Sources\install.wim:1 /LimitAccess
5. Restart and Run SFC
Once done, restart your PC and run:
sfc /scannow
This ensures all corrupted files are repaired. Let me know if you need more details!
SwimmingPool.Net 