How Did the Idea of a Debt Collection Agency Arise? and Why Do They Continue to Violate Debt Collect
Collection companies - these are companies that actively purchase the defaulted debt obligation from the original creditor. The cost basis for this purchase is usually pennies on the dollar. When this happens (and depending upon the various laws involved), the debt is now owed to the purchasing company.
The companies that fall into category #1, generally, are legitimate businesses who operate and adhere to the FDCPA.The companies that fall into category #2, at best, operate in the gray area of the law or, at worst, willfully violate the laws as they operate outside the jurisdiction of US law.Collection agencies (category #1) are probably the original outsourced companies. Creditors who are not lenders rarely have the necessary skills or temperament to pursue severely delinquent account so, for the cost of a contingency fee, farm out these types accounts to companies who specialize in this activity.I am not a lawyer and nothing here should be construed as legal advice. Please contact your tax advisor or licensed attorney before acting upon this information.
• Other Questions
How do I manage the index for many fields in one collection on MongoDB?
First of all, indexes are created to make the read operations faster, but they will affect the performance of insert and update operations, since there is an overhead of updating the indexes. So, More the number of indexes, slower would be the insert/update operations. Also, size of indexes will grow as the number of documents in the collection increases, which will consume more memory.
Hence, I would suggest you to create indexes carefully rather than creating index on all the fields. Here are a few suggestions:1. Assuming that you have 2 collections, Books and Book_Features; book_id of Book_Features points to _id of Books. Now, if you have the id of a book and want to get document having its features, you should create index only on book_id field.
2. Avoid creating indexes on all fields. Identify common queries and create indexes on fields which are frequently used.3. If you want to run queries that match on multiple fields, create a compound index instead of creating different index for each field.nCompound Indexes4. Use explain() method to analyze the performance of queries. You can keep rebuilding indexes based on it.ncursor.explain() - MongoDB Manual 3.0.15. If you want to do a search on any field and want it to be very fast, I may want to use a search engine (Elasticsearch or Apache Solr) on top of MongoDB. It will do indexing for you and make search very fast. Both Elasticsearch and Solr are opensource and they have connectors for MongoDB nElastic · Revealing Insights from Data (Formerly Elasticsearch)nApache Solr -5. If you still want to use MongoDB indexing only, here is a link to a blog which will help you a lot with schema design, index creation etc.nProduct Catalog Part 1 - Schema DesignnProduct Catalog Part 2 - Product SearchnMongoDB Indexing tip #3: too many fields to index? Use a generic indexThanks Dhaksh Dev for A2A.
MongoDB, how to manage index for many fields in one collection?
------
Did you ever have collections of things when you were young? Do you still collect them?
A2A. As a younger person I amassed a lot of things which I referred to as "collections", but were not things I actively collected. For example, I would group any toys I had which involved an "outer space" theme (Star Wars, Micronauts, etc), and refer to it as my collection of space toys, as differentiated from stuffed animals, sports equipment, and the like. It was more about the classification than the acquisition.
As an adult, there are a number of things which I now definitively collect, many of which are related to my youth. These collections are different in the sense that they represent an effort to restore possession of things I once had and, for mostly selfish and trivial reasons, wish to have again. There are about three collections which represent these efforts to restore things I once had but no longer do, and even expand the scope and quantity of having these things.
I have become rather painfully self-conscious about this in recent years following the death of my bio-father, who had a serious pathology centered around hoarding, which neither I nor my siblings truly understood the extent of until after he died. Ever since that point I have been continuously guarded and self-critical about my collecting habits, fearful of this ever becoming the same kind of problem for myself that it did for my dad. Thankfully I have better accountability than he did about this owing to my wife's groundedness and pragmatism concerning keeping (or not keeping) certain things around.
The only collection of things I have which has persisted since my youth, never having been lost or forsaken, is my collection of comic books. There are about five longboxes worth of them, mostly dating to the period throughout the 1980s and early 1990s, but I have not actively collected any comic books since that time, so it remains yet another touchstone to my youth taking up more space in my garage than is necessary
------
What is the importance of accuracy in data collection?
NoIf we have a population of 1 million people. It is good to know what the break up is of that population.BlackWhiteAsianNative Indian...LegalAndIllegalDiabeticHave cancer.
This way we can run reports on how that population is affected by let's say a pandemic.How many are homeless vs the number that have a place to stay.This way we can focus efforts to combat illness's that are PRONE towards one culture of the population.
The CDC is not forth coming and keeps changing up the information about Covid China-2019. WHO says one thing and that works but CDC has been wishy washy about details.Certainly diabetic and type O person are more likely to be infected where other people who have different blood type and conditions are not as likely.
Also certain races are more likely then others.This data needs to be accurate so that we can better fund and dispatch teams to help people.If we had an exact count of data of the number of illegal entrants and where they are right now. That would make immagration discussion a high talking point. But since no one wants to know how may are illegal vs legal, immagration is not a important talking point.If you have 1000 illegal in 1 million people not a big deal. But if that number is 40,000 in a million ok we might want to bring it up to the hill for discussion.But if you ignored it then how do you know just how big the problem is for a discussion.We need to know where in each area these numbers are to target talking points.
Alaska does not have a huge illegal entry issue like other states do. So we need not focus talks in Alaska but in Florida sure
------
What is the box office collection of Azhar movie?
Azhar Movie First Day Box Office Collection is 6.30 crores. The collection was expected little higher. The best collection of the movie is from Nizame,Andra, which is around 40 lakhs net. Mumbai collection is around 2 crore. The movie was low in Delhi city, East Punjab, and Eastern Market.It is sports biographical film written by Rajat Arora and directed by Tony D'Souza. Based on the life of the Indian cricketer Mohammad Azharuddin, the film is produced by Shobha Kapoor, Ekta Kapoor, and Sony Pictures Networks, and features Emraan Hashmi, Prachi Desai, Nargis Fakhri and Lara Dutta in lead roles.
The movie had a fair opening in metro seen around 25% of occupancy in opening shows. Azhar opens well in UAE-GCC. Collected approx 0.72 crores (AED 400,000) on Thursday.Day 1 Collection : 6.30 crores nDay 1 Overseas Collection : 2.5 croresnTotal Budget : 38 Crores.nnThe movie released on 2100 screens in India with a total budget of 38 crores, which includes 28 crores production cost and 10 crores Prints & Advertising Cost. All India Rights of Azhar has been sold for 22.
5 crores to Kumar Mangat and Satellite Rights has been claimed to be sold at Rs 8 Crores.nThe movie had opened well in Gurajat than metro like Mumbai and Delhi. The opening of Azhar is the better than the last 6-7 releases of Emraan Hashmi but its short of a Jannat 2 or Raaz 3.
Overseas Collection on Opening Day: Day 1 at Australia box office collected 0.88 crores from 19 screens. Day 1 at New Zealand box office collected 0.27 crores with 7 screens 1 screen yet to report. Day 1 at U.
K. box office collected 0.
624 crores from 23 screens, and UAE box office is 0.72 crores. Total Overseas collection so far is 2.5 Crores. Other this week releases are Buddha In A Traffic Jam, Dear Dad, and Chudail Story.You can check more collection at Azhar Movie First Day Box Office Collection.
------
What is/are your favorite book(s) or novel?
Here's the list of books I loved most :1. 1984 - George Orwell2. A Brief History Of Time - Stephen Hawking3. Angels & Demons (Robert Langdon #1) - Dan Brown4. Animal Farm - George Orwell5. As a Man Thinketh - James Allen6. Behind the Beautiful Forevers - Katherine Boo7. Between The World and Me - Ta-Nehisi Coates8.Brave New World - Aldous Huxley9. Braving The Wilderness - Been Brown10. Brief Answers to the Big Questions - Stephen Hawking11. Charlottes Web - E. B. White12. Elevation - Stephen King13. Evil Under the Sun (Hercule Poirot #24) - Agatha Christie14. Fahrenheit 451 - Ray Bradbury15. Homo Deus : A Brief History Of Tomorrow - Yuval Noah Harari16. Lord Of The Flies - William Golding17. Man's Search For Meaning - Viktor E. Frankl18. MindHunter - John Douglas19. Murder On The Orient Express (Hercule Poirot #10) - Agatha Christie20. Of Mice and Men - John Steinbeck21. Sapiens: A Brief History of Humankind - Yuval Noah Harari22.
Sharp Objects - Gillian Flynn23. The Accidental Prime Minister - Sanjay Baru24. The Banker's Wife - Cristina Alger25. The Book Thief - Markus Zusak26.The Catcher In The Rye - J D Salinger27. The Da Vinci Code (Robert Langdon #2) - Dan Brown28.The Girl Who Played With Fire (Millennium #2) - Stieg Larsson29.
The Girl With Dragon Tattoo (Millennium #1) - Stieg Larsson30. The God Of Small Things - Arundhati Roy31.The Handmaid's Tale - Margaret Atwood32. The Inheritance Of Loss - Kiran Desai33. The Ministry Of Utmost Happiness - Arundhati Roy34. The Monk Who Sold His Ferrari - Robin Sharma35. The Old Man And The Sea - Ernest Hemingway36.The Palace of Illusions - Chitra Banerjee Divakaruni37. The Sense Of An Ending - Julian Barnes38. To Kill A Mockingbird - Harper Lee39. Train To Pakistan - Khushwant Singh40. Turtle's All The Way Down - John Green
