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The importance of social and political context for classifying ecosystem services

It is important to have a single definition of 'ecosystem services', but a single classification scheme for services is not appropriate, according to researchers. There are many contexts in which ecosystem services can be used and the context should help to determine which classification scheme is the most appropriate for decision making.




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Pollination and pest controls can work together to intensify agriculture ecologically

Pollination and pest control are essential to global food production. This study shows that — as well as their individual benefits — they have synergistic effects on yield. Their joint effect increased the yield of oilseed rape by 23%, and the economic benefit from their combined effects was almost twice that of their individual contributions. These findings have implications for sustainable agricultural policy.




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Add water to whisky to intensify the flavor

Diluting whisky makes it more flavorful, according to a study out of Linnaeus University in Sweden.




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Classifying unclassified samples

A system and method for classifying unclassified samples. The method includes detecting a number of classes including training samples in training data sets. The method includes, for each class, determining a vector for each training sample based on a specified number of nearest neighbor distances between the training sample and neighbor training samples, and determining a class distribution based on the vectors. The method also includes detecting an unclassified sample in a data set and, for each class, determining a vector for the unclassified sample based on the specified number of nearest neighbor distances between the unclassified sample and nearest neighbor training samples within the class, and determining a probability that the unclassified sample is a member of the class based on the vector and the class distribution. The method further includes classifying the unclassified sample based on the probabilities.




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Systems and methods for classifying documents for data loss prevention

A computer-implemented method for classifying documents for data loss prevention may include 1) identifying training documents for a machine learning classifier configured for data loss prevention, 2) performing a semantic analysis on training documents to identify topics within the set training documents, 3) applying a similarity metric to the topics to identify at least one unrelated topic with a similarity to the other topics within the plurality of topics, as determined by the similarity metric, that falls below a similarity threshold, 4) identifying, based on the semantic analysis, at least one irrelevant training document within the set of training documents in which a predominance of the unrelated topic is above a predominance threshold, and 5) excluding the irrelevant training document from the set of training documents based on the predominance of the unrelated topic within the irrelevant training document. Various other methods, systems, and computer-readable media are also disclosed.




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Demulsifying of hydrocarbon feeds

In various aspects, the invention provides for processing a hydrocarbon feed having hydrocarbon and emulsified aqueous components demulsifying into hydrocarbon and aqueous phases over an initial demulsification time, with an active agent to form a treated feed. The active agent has an active agent solubility in the hydrocarbon component and in the aqueous component, the aqueous component has an aqueous component solubility in the hydrocarbon component. The active agent solubility in the hydrocarbon component is greater than the aqueous component solubility in the hydrocarbon component. The active agent solubility in the aqueous component is greater than the active agent solubility in the hydrocarbon component. The active agent solubility in the aqueous component is greater than the active agent solubility in the hydrocarbon component. A treated demulsified hydrocarbon phase separates from the active agent and the aqueous component in a modified demulsification time that is shorter than the initial demulsification time.




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Method for classifying audio signal into fast signal or slow signal

Low bit rate audio coding such as BWE algorithm often encounters conflict goal of achieving high time resolution and high frequency resolution at the same time. In order to achieve best possible quality, input signal can be first classified into fast signal and slow signal. This invention focuses on classifying signal into fast signal and slow signal, based on at least one of the following parameters or a combination of the following parameters: spectral sharpness, temporal sharpness, pitch correlation (pitch gain), and/or spectral envelope variation. This classification information can help to choose different BWE algorithms, different coding algorithms, and different postprocessing algorithms respectively for fast signal and slow signal.




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Method for preparing a gelling and viscosifying agent for drilling mud and the product thereof

A method for preparing lignin graft copolymer comprising: reacting lignocellulosic materials with an acrylic compound by bulk condensation under nitrogen atmosphere in the presence of a non-oxidizing strong organic acid as catalyst; separating the reaction mixture to obtain a solid phase mainly containing lignocellulosic materials and a liquid phase containing lignin graft copolymer and unreacted acrylic compound; and removing solvent from the liquid phase to obtain the lignin graft copolymer.




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System for and method of classifying and translating graphics commands in client-server computing systems

A client-server computing system includes a server that has a virtual display driver that classifies and, if necessary, translates graphics application programming interface (API) functions to a cross-platform format. Classification involves determining whether the graphics command(s) are platform-specific and/or client-supported functions. After classification and translation, the graphics command(s) are marshaled and transmitted to a client via a network. The client includes a client display driver that executes the functions using a client 3D library and renders the resulting image data to a display.




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Ossify invests Rs 225 crore to acquire manufacturing facility for producing Compaq TVs

The company plans to make investments of around Rs 210 crore on infrastructure development of the facility over the next four years.




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Diversifying Your Interests (Two Guys on Your Head Live)

KUT’s Rebecca McInroy along with Dr. Art Markman and Dr. Bob Duke talk about why it’s so important to diversify your interests. What is unhealthy about a one track mind? And why is it important to step outside our brain’s comfort zone?




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Washington Legislature passes bill aiming to diversify cannabis industry


The Marijuana Social Equity Program would allow the Liquor and Cannabis Board (LCB) to issue forfeited, canceled, and revoked retail licenses to applicants in communities disproportionately impacted by the war on drugs.




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Rev. Jesse Jackson to Amazon: You have the power to lift up our youth, diversify boardroom


Jackson calls on CEO Jeff Bezos to create a board of directors and a workforce that looks more like America.




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Diversifying into a brewery

Following the knock on effect from the mining downturn, Linda Palmer decided it was time to diversify from her family's construction business. Today Linda keeps herself busy with a different kind of construction - one that involves developing beer and cider instead.




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Former Exmouth shire officers face court accused of falsifying records in $1m aquarium purchase

A trial is underway to determine if two former senior staff from the Shire of Exmouth in WA falsified records in relation to a $1 million aquarium purchase.




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Carbon price 'useful' as sugar industry struggles to diversify and value-add

Stagnant domestic production and a slump in global raw sugar prices require serious action to combat future declines in the $2 billion sugar industry, a report finds.




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Classifying Books: Some Early Lessons Learned

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Flushed with the feeling of success that comes from having cleaned my office to such a degree that the rugs are now visible, I thought today that I would take on the problem of excess books. Surely there are some I don't actually need. So I chose a shelf at near-random (it was one of those actually accessible without moving the boxes of books stacked before it to another location), and started going through both rows (the shelves are double-stacked, of course) to see what they contained.

Only to discover that the shelf was stocked with books placed there at seeming random. Mr. Evelyn's diary lies cheek-to-jowl with Gertrude Stein's Picasso. Jeff Danziger's Teed Tales abuts, appropriately enough, a history of Vermont. There is a collection of stories by T. Corgahesson Boyle, Zora Neale Hurston's autobiography, a novel by Sean Stewart, and a collection of essays by Ursula K. Le Guin. These last two, by the way, are misfiled since I have a science fiction section arranged almost alphabetically by author and a designated place for stacks of SF criticism and related essays. Which is where Gwyneth Jones' Joanna Russ should be as well.

Here's T. H. White's wonderful collection of mythical animals from medieval bestiaries, The Book of Beasts. The Return of Fursey! Mosses from an Old Manse. Flann O'Brien's The Best of Myles reappears from hiding; after I've obsessively reread it a few times,  I'll have to hide it somewhere else among my books, if I'm ever to read anything else. Oh, but there's also John McPhee's The Pine Barrens, which some of us persist in thinking his best book. Though it has competition. And here is a battered but charming old hardcover of Charles Fort's The Book of the Damned. I have a biography of Fort around here somewhere, though I doubt I'll find it today. Some few of these I haven't read--Fishing from Earliest Times is one example, though I'm sure I'll get to it soon. But I've read every story in The Corrector of Destinies, Melville Davidson Post's extremely odd collection of detective fiction (sort of), and I'll have to blog about it here someday.

There are thirty shelves of books on one wall of my office and my first attack upon the one provided me with nothing to cull,  And I've put aside a short stack of books to read or reacquaint myself with. Not have I done much to organize it--but wait! Here, just one shelf below is Damon Knight's Charles Fort. Up it goes, alongside The Book of the Damned, so nobody could say the last hour was wasted. Though it came close.

Nor was I able to impose a theme upon the shelf, other than Books I Am Delighted to Possess. But maybe that's enough.

In any case, it will have to do.


Above: For technical reasons, I'm having difficulty uploading a picture of the wall of books in my office. So here's a pic of part of the wall of books in my bedroom. 

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Study shows wetter climate is likely to intensify global warming

(Virginia Institute of Marine Science) New study indicates the increase in rainfall forecast by global climate models is likely to hasten the release of carbon dioxide from tropical soils, further intensifying global warming by adding to human emissions of this greenhouse gas into Earth's atmosphere.




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The Challenge of Classifying Metastatic Cell Properties by Molecular Profiling Exemplified with Cutaneous Melanoma Cells and Their Cerebral Metastasis from Patient Derived Mouse Xenografts [Research]

The prediction of metastatic properties from molecular analyses still poses a major challenge. Here we aimed at the classification of metastasis-related cell properties by proteome profiling making use of cutaneous and brain-metastasizing variants from single melanomas sharing the same genetic ancestry. Previous experiments demonstrated that cultured cells derived from these xenografted variants maintain a stable phenotype associated with a differential metastatic behavior: The brain metastasizing variants produce more spontaneous micro-metastases than the corresponding cutaneous variants. Four corresponding pairs of cutaneous and metastatic cells were obtained from four individual patients, resulting in eight cell-lines presently investigated. Label free proteome profiling revealed significant differences between corresponding pairs of cutaneous and cerebellar metastases from the same patient. Indeed, each brain metastasizing variant expressed several apparently metastasis-associated proteomic alterations as compared with the corresponding cutaneous variant. Among the differentially expressed proteins we identified cell adhesion molecules, immune regulators, epithelial to mesenchymal transition markers, stem cell markers, redox regulators and cytokines. Similar results were observed regarding eicosanoids, considered relevant for metastasis, such as PGE2 and 12-HETE. Multiparametric morphological analysis of cells also revealed no characteristic alterations associated with the cutaneous and brain metastasis variants. However, no correct classification regarding metastatic potential was yet possible with the present data. We thus concluded that molecular profiling is able to classify cells according to known functional categories but is not yet able to predict relevant cell properties emerging from networks consisting of many interconnected molecules. The presently observed broad diversity of molecular patterns, irrespective of restricting to one tumor type and two main classes of metastasis, highlights the important need to develop meta-analysis strategies to predict cell properties from molecular profiling data. Such base knowledge will greatly support future individualized precision medicine approaches.




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Study: Evidence does not support classifying fluoride as cognitive neurodevelopmental hazard

The National Academies of Sciences, Engineering, and Medicine announced March 5 that it does not find that the National Toxicology Program adequately supported its conclusion that fluoride is “presumed” to be a cognitive neurodevelopmental hazard to humans.




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A latent discrete Markov random field approach to identifying and classifying historical forest communities based on spatial multivariate tree species counts

Stephen Berg, Jun Zhu, Murray K. Clayton, Monika E. Shea, David J. Mladenoff.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2312--2340.

Abstract:
The Wisconsin Public Land Survey database describes historical forest composition at high spatial resolution and is of interest in ecological studies of forest composition in Wisconsin just prior to significant Euro-American settlement. For such studies it is useful to identify recurring subpopulations of tree species known as communities, but standard clustering approaches for subpopulation identification do not account for dependence between spatially nearby observations. Here, we develop and fit a latent discrete Markov random field model for the purpose of identifying and classifying historical forest communities based on spatially referenced multivariate tree species counts across Wisconsin. We show empirically for the actual dataset and through simulation that our latent Markov random field modeling approach improves prediction and parameter estimation performance. For model fitting we introduce a new stochastic approximation algorithm which enables computationally efficient estimation and classification of large amounts of spatial multivariate count data.




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Apple diversifying AirPods supply chain, potentially pushing refresh back



Apple is shifting a substantial portion of its current AirPods production from China to Vietnam, and appears to be considering a release schedule later than previously predicted for an AirPods refresh.




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Fin24.com | Saudis begin internal probe into journo's disappearance as US tensions intensify

Saudi Arabia has begun an internal investigation into the disappearance of a prominent journalist at its Istanbul consulate and could hold people accountable if the evidence warrants it, according to a Saudi official.




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Sify eyes cloud, network access and e-learning for growth post lockdown

The company is currently addressing the upgrade and downgrade requirements of customers, based on demand.




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COVID-19 impact on equity investments: Continue SIP and diversify your portfolio

Retail investors should stay away from small and mid-cap stocks until the volatility settles. Instead, they should look at value investing.




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Sify Technologies Limited (SIFY) CEO Kamal Nath on Q4 2020 Results - Earnings Call Transcript




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Battered U.S. oil ETF to diversify investment in later-dated oil contracts

The United States Oil Fund LP, the largest oil-focused exchange-traded product (ETP) in the country, is moving to spread out its investments in oil futures in response to extreme market turbulence,...




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Jess Wade's one-woman mission to diversify Wikipedia's science stories

Our largest encyclopedia overwhelmingly recognises the achievements of white men. For physicist Jess Wade, fighting this bias has been an uphill battle




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Jess Wade's one-woman mission to diversify Wikipedia's science stories

Our largest encyclopedia overwhelmingly recognises the achievements of white men. For physicist Jess Wade, fighting this bias has been an uphill battle




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Identifying and Classifying Shared Selective Sweeps from Multilocus Data [Population and Evolutionary Genetics]

Positive selection causes beneficial alleles to rise to high frequency, resulting in a selective sweep of the diversity surrounding the selected sites. Accordingly, the signature of a selective sweep in an ancestral population may still remain in its descendants. Identifying signatures of selection in the ancestor that are shared among its descendants is important to contextualize the timing of a sweep, but few methods exist for this purpose. We introduce the statistic SS-H12, which can identify genomic regions under shared positive selection across populations and is based on the theory of the expected haplotype homozygosity statistic H12, which detects recent hard and soft sweeps from the presence of high-frequency haplotypes. SS-H12 is distinct from comparable statistics because it requires a minimum of only two populations, and properly identifies and differentiates between independent convergent sweeps and true ancestral sweeps, with high power and robustness to a variety of demographic models. Furthermore, we can apply SS-H12 in conjunction with the ratio of statistics we term and to further classify identified shared sweeps as hard or soft. Finally, we identified both previously reported and novel shared sweep candidates from human whole-genome sequences. Previously reported candidates include the well-characterized ancestral sweeps at LCT and SLC24A5 in Indo-Europeans, as well as GPHN worldwide. Novel candidates include an ancestral sweep at RGS18 in sub-Saharan Africans involved in regulating the platelet response and implicated in sudden cardiac death, and a convergent sweep at C2CD5 between European and East Asian populations that may explain their different insulin responses.




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Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations [Methods, Technology, [amp ] Resources]

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g., CpG hypermutability. We have evaluated whether the mechanistic origin of a point mutation can be resolved using only sequence context for a more complicated case. We contrasted single nucleotide variants originating from the multitude of mutagenic processes that normally operate in the mouse germline with those induced by the potent mutagen N-ethyl-N-nitrosourea (ENU). The considerable overlap in the mutation spectra of these two samples make this a challenging problem. Employing a new, robust log-linear modeling method, we demonstrate that neighboring bases contain information regarding point mutation direction that differs between the ENU-induced and spontaneous mutation variant classes. A logistic regression classifier exhibited strong performance at discriminating between the different mutation classes. Concordance between the feature set of the best classifier and information content analyses suggest our results can be generalized to other mutation classification problems. We conclude that machine learning can be used to build a practical classification tool to identify the mutation mechanism for individual genetic variants. Software implementing our approach is freely available under an open-source license.




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Japanese Corporate Operator of Cargo Vessel Sentenced to Pay $1.75 Million for Conspiracy and Falsifying Records

U. S. District Judge Steven D. Merryday today sentenced the Japanese corporation Hiong Guan Navegacion Japan Co. Ltd., that operates the commercial cargo ship M/V Balsa-62, to three years probation and $1.75 million in penalties for conspiring to falsify and falsifying environmental compliance records.



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Former Department of Energy Employee Pleads Guilty to Falsifying Performance Evaluation for Monetary Award

A former U.S. Department of Energy (DOE) employee who falsified his performance evaluation to justify an annual performance award to which he was not entitled pleaded guilty today to one count of making false statements.



  • OPA Press Releases

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Former Oklahoma Water Treatment Supervisor Pleads Guilty for Falsifying Drinking Water Safety Reports

Christopher Neil Gauntt, the former supervisor of the Fort Gibson Water Treatment Plant in Fort Gibson, Okla., pleaded guilty today in U.S. District Court in Muskogee, Okla., to falsifying a monthly operating report that certified the safety of drinking water from the facility.



  • OPA Press Releases

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Former Enron Broadband Chief Financial Officer Pleads Guilty to Falsifying Books and Records

Kevin Howard, former chief financial officer and vice president of finance for Enron Broadband Services (EBS), Enron’s failed telecommunications business, pleaded guilty today to falsifying books and records.



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Korean Corporate Owner of Cargo Vessel Sentenced to Pay $2.2 Million for Conspiracy and Falsifying Records

U. S. District Court Judge Richard Lazzara (Middle District of Florida) today sentenced the Korean corporation STX Pan Ocean Co. Ltd., which operates the commercial cargo ship M/V Ocean Jade, to pay $2.2 million in penalties and serve four years of probation for conspiring to falsify and falsifying environmental compliance records.



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Former Indiana Water Treatment Plant Superintendent Pleads Guilty to Falsifying Reports

Herbert L. Corn, the former superintendent of the city of Rochester Wastewater Treatment Plant in Rochester, Ind., pleaded guilty today in U.S. District Court in South Bend, Ind., to falsifying monthly discharge monitoring reports that concealed violations of the Clean Water Act at the Rochester plant.



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Liberian Ocean Shipping Company Admits Falsifying Oil Discharge Record Books

A Liberian-incorporated shipping company pleaded guilty today in federal court in Trenton, N.J., to failing to keep accurate oily water discharge records and using falsified records to conceal the discharge at sea of untreated bilge from one of its cargo ships.



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Former Indiana Water Treatment Plant Superintendent Sentenced to Prison for Falsifying Reports

The former superintendent of a wastewater treatment facility in Rochester, Ind., was sentenced today in U.S. District Court in South Bend, Ind., to serve one year in prison for falsifying discharge monitoring reports that concealed violations of the Clean Water Act.



  • OPA Press Releases

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10 Las Vegas Men Indicted for Falsifying Vehicle Emissions Tests

A federal grand jury in Las Vegas today returned indictments against 10 Nevada-certified emissions testers for falsifying vehicle emissions test reports.



  • OPA Press Releases

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Florida-based Medicare Advantage Plan Owners & Primary Care Provider Agree to Pay $22.6 Million to Settle Claims of Falsifying Diagnoses

Dr. Walter Janke, his wife, Lalita Janke, and Vero Beach, Fla.-based Medical Resources L.L.C. have agreed to pay $22.6 million to resolve allegations that they caused Medicare to pay inflated amounts based upon the submission of false diagnosis codes.



  • OPA Press Releases

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Two Former Shenandoah, Pennsylvania, Police Officers Convicted of Falsifying Information About Hate Crime

A federal jury in Wilkes-Barre, Pa., has convicted Matthew Nestor and William Moyer of falsifying information related to the investigation into the beating death of Luis Ramirez.



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Lucas County, Ohio, Sheriff’s Sergeant Sentenced for Civil Rights Violations and Falsifying Written Reports

The Justice Department announced today that former Lucas County Sheriff’s Sergeant John E. Gray was sentenced today by Judge David A. Katz to three years in prison, followed by two years supervised release, for federal civil rights violations and records falsification relating to the in-custody death of a pretrial detainee at the Lucas County Jail.



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Liberian Shipping Company Sentenced to Pay $2.4 Million for Falsifying Oil Record Book and Lying to Cover up Illegal Discharges of Waste

Cardiff Marine Inc, a Liberian-registered shipping company, was sentenced today in federal court in Baltimore after pleading guilty to a felony violation of the Act to Prevent Pollution from Ships.



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Former Employee of Charlotte, North Carolina-Based Bank Pleads Guilty for His Role in Falsifying Bank Records Involving Proceeds of Municipal Bonds

According to charges filed today in U.S. District Court in New York City, Brian Scott Zwerner engaged in a conspiracy to falsify bank records related to the marketing profits for an investment agreement and other municipal finance contracts, including derivative contracts.



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Last of 10 Las Vegas Defendants Pleads Guilty to Falsifying Emissions Test Records

Wajdi Waked, 25, of Las Vegas, pleaded guilty today before Judge Philip M. Pro of the U.S. District Court in Nevada, to one count of violating the Clean Air Act by falsifying emissions test results.



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Two Former Shenandoah, Pennsylvania, Police Officers Sentenced for Falsifying Information About the Beating of a Latino Man

The Justice Department announced that Matthew Nestor and William Moyer were sentenced today for falsifying information related to the investigation into the beating death of Luis Ramirez.



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Last of 10 Las Vegas Defendants Sentenced for Falsifying Emissions Test Records

William Joseph McCown, 49, of Las Vegas, was sentenced today before District Judge Lloyd D. George of the U.S. District Court for the District of Nevada.



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Fishermen and Seafood Wholesaler Convicted of Conspiring to Obstruct Justice, Falsify Food Safety and Oyster Harvest Records, and Traffic in Illegal Oysters

After a seven week trial in federal court in Camden, N.J., multiple defendants were convicted on various felony counts of creating false records, trafficking in illegally possessed oysters, obstructing the Food and Drug Administration’s regulation of public health and safety, and conspiring to commit those crimes.



  • OPA Press Releases