Paints are very common evidence found in hit and run cases, burglary cases and many other cases. The collection of paint evidence has been explained in this presentation
Tool marks are often found on scene of crime.. this presentation enlights very basic processing of how these marks are being examined by forensic scientists
Tool marks are often found on scene of crime.. this presentation enlights very basic processing of how these marks are being examined by forensic scientists
Examination of chemicals like Phenolphthalein in Trap / Bribe Cases. It is very important to know for police and the general public how to use phenolphthalein in bribe case.
there is a brief introduction of what is adulteration and how the common fuels like petrol and disiel are adulterated and laws related to their adulteration
A digital imaging instrument manufactured by Foster + Freeman that employs combinations of light sources and filters to examine document evidence under various wavelengths of radiation ranging from ultraviolet to the infrared regions of the electromagnetic spectrum.
VSC is a preferred tool as it supports non destructive examination of documents. VSC uses multiple parameters like IR, UV, and White light providing accurate results.
VSC VIDEO SPECTRAL COMPARATAOR FORENSIC APPLICATIONS BY SHAILESH CHAUBEY STUDENT OF FORENSIC SCIENCE & CRIMINOLOGY FROM BUNDELKHAND UNIVERSITY JHANSI UTTAR PRADESH INDIA . THIS PPT SHOWS ABOUT THE FEATURES, APPLICATIONS , CASE LAWS & NEED OF VSC IN FORENSIC ASPECTS FOR DOCUMENT EXAMINATION & HANDWRITING . THIS PRESENTATION WILL HELP TO GET MORE INFORMATION ABOUT VSC BY VARIOUS SLIDES.
Examination of chemicals like Phenolphthalein in Trap / Bribe Cases. It is very important to know for police and the general public how to use phenolphthalein in bribe case.
there is a brief introduction of what is adulteration and how the common fuels like petrol and disiel are adulterated and laws related to their adulteration
A digital imaging instrument manufactured by Foster + Freeman that employs combinations of light sources and filters to examine document evidence under various wavelengths of radiation ranging from ultraviolet to the infrared regions of the electromagnetic spectrum.
VSC is a preferred tool as it supports non destructive examination of documents. VSC uses multiple parameters like IR, UV, and White light providing accurate results.
VSC VIDEO SPECTRAL COMPARATAOR FORENSIC APPLICATIONS BY SHAILESH CHAUBEY STUDENT OF FORENSIC SCIENCE & CRIMINOLOGY FROM BUNDELKHAND UNIVERSITY JHANSI UTTAR PRADESH INDIA . THIS PPT SHOWS ABOUT THE FEATURES, APPLICATIONS , CASE LAWS & NEED OF VSC IN FORENSIC ASPECTS FOR DOCUMENT EXAMINATION & HANDWRITING . THIS PRESENTATION WILL HELP TO GET MORE INFORMATION ABOUT VSC BY VARIOUS SLIDES.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Multi-source connectivity as the driver of solar wind variability in the heli...
PAINT EVIDENCE COLLECTION
1.
2. HOW TO
COLLECT
PAINT EVIDENCE
AT A CRIME
SCENE
Presented By: Harshita
Niranjan
Volunteer Of Applied
Forensic Research
Sciences(Criminology)
3. CONTENT What is Paint?
Composition of Paint
Forensic Significance of Paint
Basics of Paint Evidence Collection
Collection and Preservation of Paint
Specimens
Examples
4. WHAT IS PAINT?
Any pigmented liquid that is liquefiable, or
solid mastic composition that, converts to a
solid film after its application in thin layers
to a substrate. Its main purpose is to protect,
color or provide texture.
6. Remnants of paint from a
crime scene can reveal a
significant amount of
information upon
subjecting to forensic
analysis. Paint is generally
transferred as a trace
evidence from accused to
the crime scene or victim’s
body. It can be used
purposely to form a link
between the accused or the
suspect to the crime scene.
FORENSIC
SIGNIFICANCE
OF PAINT
7. • As in any other case, the first
and the foremost thing to do
before proceeding to collect
the evidence is to secure the
crime scene.
• Subsequently, the paint
evidence without subject to
disturbance, is photographed.
• Then, we proceed with the
collection of paint evidence.
BASICS OF
PAINT
EVIDENCE
COLLECTION
8. COLLECTION
AND
PRESERVATION
OF PAINT
SPECIMENS
Scrape the paint sample from the
original surface or remove already
fallen chips using tweezers.
Use separate containers for all samples
collected.
Use paper bindles to collect pieces of
paint only if large pieces are to be
collected.
Collect paint from all layers.
9. Hit and Run Case
We can find the paint
evidence on victim’s
clothes and suspect’s
car.