The Internal Revenue Service today announced that approximately 275,000 organizations under the law have automatically lost their tax-exempt status because they did not file legally required annual reports for three consecutive years. IRS Identifies Organizations that Have Lost Tax-Exempt Status

You may not be thinking about your tax return right now, but summer is a great time to start planning for next year. Organized records not only make preparing your return easier, but may also remind you of relevant transactions, help you prepare a response if you receive an IRS notice, or substantiate items on your return if you are selected for an audit. Tax Time Stress: IRS offers Tax Tips to Reduce Tax-Time Stress

The spectre of a Development Land Tax returning to haunt the whole process is a very real threat to development, especially if proposed works are financially marginal...

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In the dynamic landscape of small businesses, the need for professional tax specialists is often underestimated. While larger corporations may have dedicated teams to navigate complex tax rules, small businesses can greatly benefit from the expertise of tax specialists. This article explores why engaging a tax specialist is essential for the financial health and success [...]

The post The Crucial Role of Tax Specialists for Small Businesses appeared first on Braves News World.

February 13, 2006 – With tax time fast approaching, the scam artists are out in droves. They are using a variety of ploys to fool consumers and engage in identity theft. Although most of these tricks have been used in the past, consumers continue to fall for them.

January 16, 2006 - In 2004, Congress passed the American Jobs Creation Act. As innocuous as the title sounds, it contained a provision allowing the IRS to outsource collection efforts to private contractors. But both the National Treasury Employees Union (NTEU) and the Government Accountability Office (GAO) are questioning the wisdom of this; saying that the move may jeopardize personal privacy and lead to cases of fraud and identity theft.

January 11, 2006 – If you are missing an old tax refund and wondering when it will show up, the answer may be “never”. That is because the IRS now uses software to identify possible cases of “refund fraud”. Unfortunately, the software appears to be error prone and tax payers are getting caught in the middle.

Catégorie - HOMMES » Genre - Pop

Property owners may face serious legal and financial ramifications if they fail to pay their property taxes. Therefore, timely paying such taxes is necessary to continue taking advantage of the municipal amenities. Owners must take immediate action if a property … Continue reading →

On this Sunday of the Publican and Pharisee, Fr. Andrew explores the role of humility in learning to pray to God.

Tackling the differences among the Gregorian, Julian, and Appalachian Calendars concerning the date of Christmas is nothing new -- and can be quite the tongue twister.

Does the world have coherent structure? Does reality make sense? If it does, what is that structure? Father Pat looks at three answers to these questions.

The health secretary says he will come forward before Christmas with measures to aid the hospice sector.

Highland Council has proposed setting a 5% rate for its visitor levy.

The collision, involving a white BMW X6 and a black Kia Ceed taxi, happened on Cochrane Avenue at about 03:05.

Reeves says the government will raise £25bn from increasing employers' National Insurance contributions.

Andrew Muir says Labour's first budget in 14 years is "bad" for farmers.

Policy and Resources will review infrastructure projects after deputies rejected income tax plans.

The vote risks sparking a trade war as the EU looks to protect its own car makers.

A company where warrants were recently executed is no longer in business, the BBC has learned.

The chancellor says businesses will "contribute more" as she raises employer National Insurance to 15%.

The toy retailer says higher costs have hit expansion and led to a hiring freeze at its head office.

A review of the front page stories from the daily and weekly newspapers in Wales.

North Yorkshire councillors say £1m from the second homes tax premium will fund community-led plans.

The Budget saw the Labour government announce the reintroduction of inheritance tax for farmers.

Even blue states are doing it; what’s the matter with this state?

Ontology evaluation is an integral and important part of the ontology development process. Errors in ontologies could be catastrophic for the information system based on those ontologies. As per our experiments, the existing ontology evaluation systems were unable to detect many errors (like, circulatory error in class and property hierarchy, common class and property in disjoint decomposition, redundancy of sub class and sub property, redundancy of disjoint relation and disjoint knowledge omission) as defined in the error taxonomy. We have formulated efficient algorithms for the evaluation of these and other errors as per the extended error taxonomy. These algorithms are implemented (named as OntEval) and the implementations are used to evaluate well-known ontologies including Gene Ontology (GO), WordNet Ontology and OntoSem. The ontologies are indexed using a variant of already proposed scheme Ontrel. A number of errors and warnings in these ontologies have been discovered using the OntEval. We have also reported the performance of our implementation, OntEval.

Today, income management is one of the attractive and controversial issues in accounting investigation areas from both investigations and regulatory view. Managers do manage income either to distort information or to defer and report the information related to future incomes. This investigation aims at examining the effect of taxable income management on the information content of taxable income of firms. Tests of research hypotheses were performed with an empirical method based on econometric and using multivariate regression analysis, t-test, Wilcoxon total scores, and specifically by using the panel data model across 147 firms listed on the Tehran Stock Exchange between 2002 and 2011. Findings show that taxable income management reduces the information content of taxable income. In addition, firms manage accounting income to defer information.

Aim/Purpose: This paper reports our implementation of a prototype system, namely PRATO (Proposals Reviewers Automated Taxonomy-based Organization), for automatic assignment of proposals to reviewers based on categorized tracks and partial matching of reviewers’ profiles of research interests against proposal keywords. Background: The process of assigning reviewers to proposals tends to be a complicated task as it involves inspecting the matching between a given proposal and a reviewer based on different criteria. The situation becomes worse if one tries to automate this process, especially if a reviewer partially matches the domain of the paper at hand. Hence, a new controlled approach is required to facilitate the matching process. Methodology: Proposals and reviewers are organized into categorized tracks as defined by a tree of hierarchical research domains which correspond to the university’s colleges and departments. In addition, reviewers create their profiles of research interests (keywords) at the time of registration. Initial assignment is based on the matching of categorized sub-tracks of proposal and reviewer. Where the proposal and a reviewer fall under different categories (sub-tracks), assignment is done based on partial matching of proposal content against re-viewers’ research interests. Jaccard similarity coefficient scores are calculated of proposal keywords and reviewers’ profiles of research interest, and the reviewer with highest score is chosen. The system was used to automate the process of proposal-reviewer assignment at the Umm Al-Qura University during the 2017-2018 funding cycle. The list of proposal-reviewer assignments generated by the system was sent to human experts for voting and subsequently to make final assignments accordingly. With expert votes and final decisions as evaluation criteria, data system-expert agreements (in terms of “accept” or “reject”) were collected and analyzed by tallying frequencies and calculating rejection/acceptance ratios to assess the system’s performance. Contribution: This work helped the Deanship of Scientific Research (DSR), a funding agency at Umm Al-Qura University, in managing the process of reviewing proposals submitted for funding. We believe the work can also benefit any organizations or conferences to automate the assignment of papers to the most appropriate reviewers. Findings: Our developed prototype, PRATO, showed a considerable impact on the entire process of reviewing proposals at DSR. It automated the assignment of proposals to reviewers and resulted in 56.7% correct assignments overall. This indicates that PRATO performed considerably well at this early stage of its development. Recommendations for Practitioners: It is important for funding agencies and publishers to automate reviewing process to obtain better reviewing quality in a timely manner. Recommendation for Researchers: This work highlighted a new methodology to tackle the proposal-reviewer assignment task in an automated manner. More evaluation might be needed with consideration of different categories, especially for partially matched candidates. Impact on Society: The new methodology and knowledge about factors influencing the implementation of automated proposal-reviewing systems will help funding agencies and publishers to improve the quality of their internal processes. Future Research: In the future, we plan to examine PRATO’s performance on different classification schemes where specialty areas can be represented in graphs rather than trees. With graph representation, the scope for reviewer selection can be widened to include more general fields of specialty. Moreover, we will try to record the reasons for rejection to identify accurately whether the rejection was due to improper assignment or other reasons.

This study attempts to present the variety of possible uses for iPads, in the learning process. The objective is to evaluate a unique implementation model that was tried out at a teacher training college in Israel. The methodology is based on a qualitative research paradigm. The findings show that students’ use the iPads in various contexts: (a) for ongoing personal use; (b) for planning lessons; (c) for active integration in the classroom; and (d) for reading and developing content and games. These findings are summarized in a chart that shows the different uses as levels in a hierarchical taxonomy. Analysis of the iPad’s pedagogical uses may shed light on the various skills students need to acquire in order to become teachers in 21st century. In addition, understanding the various iPad uses and their frequency can affect decision-making at the level of policy in the field of implementation of the use of mobile technologies in educational institutions.

One of the main tasks in tax administration is debt management. The main goal of this function is tax due collection. Statements are processed in order to select strategies to use in the debt management process to optimise the debt collection process. This work proposes to carry out a data mining process to predict debts of taxpayers with high probability of non-payment. The data mining process identifies high-risk debts using a survival analysis on a dataset from a tax administration. Three groups of tax debtors with similar payment behaviour were identified and a success rate of up to 90% was reached in estimating the payment time of taxpayers. The concordance index (C-index) was used to determine the performance of the constructed model. The highest prediction rate reached was 90.37% corresponding to the third group.

Sharjeel Memon meets GAC and Dewan Motors to discuss electric taxi options, assuring full govt cooperation.

Widespread smuggling, tax evasion result in billions in lost revenue across key sectors

European Commission initially accused Apple of receiving "illegal" tax benefits from Ireland over two decades