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you have learned what digital evidence is, not in the physical sense but in the legal sense, and then what steps you should take to identify and collect it. To summarize the evidentiary information from the readings, there are four basic classifications of evidence that can be applied to items of potential investigative value: Testimonial Evidence – Testimony or a statement provided by an individual detailing what they observed or experienced (through any of their senses). For example, a witness may have heard tires screech and a loud crash but not actually have seen the accident. In this example, even though he didn’t actually see the crash, witness’s testimony is still valuable - it can help pinpoint the time of a crash, determine the number of vehicles involved, or speak to the lighting conditions or weather conditions were at the time of the accident. Testimonial evidence can be significant as either direct or corroborating evidence. In addition, expert testimony can be provided that allows a subject matter expert (vetted and accepted by the court) to offer opinions and interpretations (e.g., context) of other evidence that has been or will be presented. Real Evidence – Physical evidence. Examples would be a murder weapon, a hard disk drive, fingerprints, blood or other bodily fluids, clothing, stolen property, etc. Documentary Evidence – Documents (such as records, checks, or photographs) that are like real evidence in that it may be a physical item (e.g., printed material), but documentary evidence is also the results of the analysis of documents or records to show a pattern of behavior. For example, you examine (and create) potential documentary evidence each time you balance your checkbook. Demonstrative Evidence – Evidence that utilizes or requires a demonstration, such as the use of a chart or map, to help prove what happened. Demonstrative evidence is most often created by an expert witness; an example might be using a dummy to show how a person was standing when he was shot, or it could be a flow chart showing how money was moved between different accounts. All four types of evidence could be and frequently are used together in court to prove or disprove the facts of a case. Readings in Week 2 discussed search and seizure or the ability to retrieve evidence. Over the past two weeks, many of you have mentioned search warrants in your discussions. The Fourth Amendment to the U.S. Constitution (and the Supreme Court’s subsequent interpretations thereof) requires that before a search can be conducted and evidence can be seized, the Government must obtain a search and seizure warrant (based on probable cause) from an impartial magistrate. However, there is no requirement for a private person or organization to obtain a search warrant or work under the same constraints. Further, the line can be blurred, as a private person or organization that searches property or seizes evidence (not needing a warrant) could subsequen ...
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If you are a law abiding citizen living an average, ordinary life you have likely never even given the possibility of having your home searched by the police any thought. While this is understandable, it is not necessarily wise. The reality of the matter is that you could open the door one day and find law enforcement officers on your front steps asking to search your home.
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CASE INFORMATION: Find a court case where the company indicated they were surprised the employee charged was a fraudster (use the *KU library (Westlaw) to find the court case). ANALYSIS REQUIREMENTS: Based on your readings, literature, and/or the Fraud Examiners Manual analyze the case and include the following in your discussion: What type of fraud schemes took place in this case? Analyze the internal controls of this company for "red flags". Identity why you think the company did not suspect this person was a fraudster and what policies would you put in place for this company to stop this fraud in the future? WRITING REQUIREMENTS: · 3-5 pages (not including title page, abstract, or reference page) · Proper APA format · Minimum of 3 scholarly sources (not including your textbook) GRADING REQUIREMENTS: Click on link to view grading requirements AUGHT IN THE CROSSFIRE: THE (SUPPOSEDLY) INNOCENT ATTORNEYS WHO REPRESENT ACCUSED FRAUDSTERS Editor's Note:This article is the second in a series calling for a more aggressive response to bankruptcy and other fraud. The first in the series was initially published in the May 2009 issue, entitled “A Call to Arms: A Bankruptcy Fraud Superfund.” In law school, we were taught that when representing a person accused of committing a crime, we're never to ask, “did you do it?” From “innocent until proven guilty” to “representation for all,” the axiom was not to know whether the client “did it,” but instead to protect the rights of the accused, even if they did do it. While this ideology is arguably consistent with the will of our forefathers, recall that the context is criminal defense. What's more, the ideology is not without obvious limits in its application, criminally or civilly. Based on my personal experience, many civil lawyers honor the principle of “don't ask, don't tell” to an extreme--and in so doing, have exceeded the limits and crossed the boundary line of ethical conduct. Before digging too deep into the ethics, though, let's consider a particular criminal defense attorney. The case was an involuntary bankruptcy under §303, and my creditor client successfully obtained the appointment of a gap trustee, more elusive than The Loch Ness Monster herself. The gap trustee and my client then secured an ex parte order for an unannounced inspection of the target's offices. After forcing the target and his staff out the door for a spell, the target hurriedly brought in both bankruptcy and criminal defense counsel. At the conclusion of the hearing that resulted in the denial of a motion to reconsider the judge's order to allow the inspection, the just-hired criminal defense counsel quipped in the hallway outside the courtroom, “sheesh, I guess you guys don't have due process in bankruptcy courts.” Well, yes, as a matter of fact we do, but when counsel starts going on about how innocent his client is, how we're “making a big mistake” because his client has no money and that.
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Chapter 21 - The Investigator and the Legal System 1 The decisions investigators must make involve a great deal of discretion. Investigators must consider what may be termed risk factors. 2 Investigators must consider what may be termed risk factors. Some police officers and criminal investigators are not fully aware of the order in 3 which a trial is conducted because time often prohibits them from attending a complete trail from beginning to end. Also, witnesses are often sequestered from the courtroom before and after giving testimony. This very common practice is used to minimize the possibility that a witness’s testimony might be affected by other witnesses’ testimony. The courtroom process begins with the selection and swearing in of a jury. Jury selection can last a few hours or a few weeks, depending on the selection process and the nature of the case. The jury panel from whom the jurors in the trial will eventually be picked is called a venire. The steps in the trial process include: direct examination, cross-examination, redirect examination, re-cross examination, the rebuttal, surrebuttal, and closing arguments. Evidence can be defined as anything that tends logically to prove or disprove a fact at issue in a judicial case or controversy. 4 a fact at issue in a judicial case or controversy. The rules of evidence are designed primarily to keep a jury from hearing or seeing improper evidence, and the first rule of evidence is designed to set parameters on the above definition of evidence. Proof may be defined as the combination of all those facts—of all the evidence—in 5 determining the guilt or innocence of a person accused of a crime. The pie chart above illustrates how several different pieces of evidence can be put together in order to constitute proof of guilt. 6 be put together in order to constitute proof of guilt. The doctrine of judicial notice is an evidentiary shortcut. Judicial notice is designed 7 to speed up the trial and eliminate the necessity of formally proving the truth of a particular matter when the truth is not in dispute. Direct Evidence 8 Direct evidence usually is the testimony of witnesses that ties the defendant directly to the commission of the crime, such as the testimony of an eyewitness who can positively state that the defendant committed the crime. Real Evidence Sometimes referred to as “physical evidence,” real evidence is connected with the commission of the crime and can be produced in court. Demonstrative Evidence Demonstrative, or illustrative, evidence is not identical to real evidence even though the items introduced are tangible. It consists of maps, diagrams, sketches, photographs, tape recordings, videotapes, X-rays, and visual tests and demonstrations produced to assist witnesses in explaining their testimony. Circumstantial Evidence 9 It is a myth that one cannot be convicted of a crime solely o.
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sammart93
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JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
Oracle Database 23ai New Feature introducing Vector Search using AI for getting better result. Introducing new Vector Search SQL Operators with Vector datatype for index.
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Remote DBA Services
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Último
(20)
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Search Warrants
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Franklin Clark [email_address]