Abstract
Computer-generated models have revolutionized how reconstructions of violent events, such as police use of force, are both performed and visualized. Yet, many in the legal and forensic disciplines do not understand them at a level required to use them effectively or create credible arguments supporting their findings. Simply put, models are a simplification of reality. Hence, models permit human programmers to specify the simplified behavior of a system. Since model parameters dictate the system's behavior, the programmer must document and provide justification for the selection of model parameters. The model structure, together with the selected parameters, form the backbone supporting the forensic investigator’s conclusions. This presentation will begin with an overview of the usefulness of models in forensic investigations and follow with an example of how a model is constructed and applied in use of force cases. The selected cases are particularly relevant to incidents commonly encountered in law enforcement, frequently leading to litigation.
Biography
Dr. Desmoulin is the Principal of GTD Scientific Inc. GTD offers Biomechanical Consulting Services on behalf of clients throughout North America, as well as abroad. Focused practice areas include Injury Biomechanics, Incident Reconstruction and Physical Testing with a sub-specialty in the Science of Violence®. GTD has been retained in significant complex injury litigation cases involving municipal police department use of force, violent encounters and TASER International to name just a few examples. Furthermore, landmark testing and shooting reconstruction methodology developed by Dr. Desmoulin was recently upheld as reliable and admissible by the U.S. Federal District Court for the 9th District of California.
Abstract
All human advances have depended on making new materials, and all materials are alloys, i.e. mixtures of several different starting materials or components. So the history of the human race has been the continued invention of new materials by discovering new alloys. Recently a new way of doing this, by manufacturing multicomponent high-entropy alloys, has shown that the total number of possible materials is enormous, even more than the number of atoms in the galaxy, so we have lots of wonderful new materials yet to find. And multicomponent phase space contains a surprisingly large number of extended solid solutions. The first group of these which was discovered are called Cantor alloys, an enormous composition range with a single-phase fcc structure, based loosely on the original equiatomic five-component Cantor alloy CrMnFeCoNi. This talk will discuss the previous history of alloying, the discovery of multicomponent alloys, the structure of multicomponent phase space, the fundamental thermodynamics of multicomponent solid solutions such as the Cantor alloys, the complexity of local atomic and nanoscale configurations in such materials, the effect of this on properties such as atomic diffusion, dislocation slip, and the resulting outstanding mechanical properties and potential applications, including at low and high temperatures, for corrosion and radiation resistance, and to enhance recycling and re-use.
Biography
Brian Cantor is an Emeritus Professor in the Department of Materials at the University of Oxford and a Research Professor in the Brunel Centre for Advanced Solidification Technology at Brunel University. He was previously Vice-Chancellor of the University of York and of Bradford University, Head of Mathematical and Physical Sciences at the University of Oxford, a research scientist and engineer at General Electric Research Labs in the USA, and worked briefly at Banaras Hindu University, Washington State, Northeastern, IISc Bangalore and the Kobe Institute. He founded and built up the World Technology Universities Network, the UK National Science Learning Centre, the Hull-York Medical School, and Oxford’s Begbroke Science Park. He was a long-standing consultant for Alcan, NASA and Rolls-Royce, and editor of Progress in Materials Science. He invented the new field of multicomponent high-entropy alloys and discovered the so-called Cantor alloys
Abstract
Under the aegis of unique properties, polyurethane has always been an immutable material for plenty of industries. Polyurethane has numerous advantagesv namely; lightweight, noise reduction, impact resistance, durability and cost efficient fabrication. Polyether based integral skin polyurethane foam parts are widely used automotive industry due to alpha plus performance in absorbing sound waves and transmission loss properties of the material. Fillers play large role toenhance specific properties of materials and make the product profitable. As a filler, calciumcarbonate (CaCO3), is one of the most widely used filler in polymer industry because it is feasible, allows cost efficiency and improves mechanical properties. On the other hand, it is not able that when CaCO3 is co oparetes with water, CaCO3particles prefer to aggregate during compounding with the polymermatrix due to hydrophilic nature of CaCO3. In this study CaCO3particles were modified from hydrophilic to hydrophobic with oleic acid treatment to prevent agglomeration and increased is persion quality of fillers in polymer matrix. Acoustic properties of polymermatrix which contain so leicacid modified CaCO3 is investigated and compared with same version of polyurethane with no filler and polyurethane composite which contains same amount of non-modified CaCO3.TheIdealpercentage of filler content is determined as % 4wt of polyether based polyolfo reach samples. Additionally FTIR, DSC and TGA of samples are investigated. Results revealed that polyurethane composite with oleic acid modified CaCO3 performed enhanced sound absorption and transmission loss properties instead of the rest of the sample groups.
Biography
Ethem Gokhan Ozcelik has completed his BSc education from the Department of Materials Science and Engineering, Technical University of Gebze, TR and proceed MSc studies at Istanbul Technical University Departmant of Polymer Science and Technology. He has been working as a Research and Development Specialist at Pimsa Automotive R&D Center in Kocaeli Turkey since 2022. After his BSc, he started to his career worked for Center for Nanotechnology & Biomaterials Applications and Research as a Reasearch and Development Scientist. He has a conference paper at NanoBioMat2021 named “The effect of flow rate on the size of electrospun PMMA nanofibers.” His interests are Acoustic Properties of Polymeric Materials, Sustainable Materials and Electrospun Nanofibers.
Abstract
The best way to unlock the IoT data is by using an Agile predictive Monitoring approach for accessible industrial AI. Because Globally, 72% of all Industrial digitalization project witnessed a failure, the main reason is : Insufficient Existing infrastructure. The solution will be an AI integrated, Wireless enabled, agile platform for smarter Industrial Management for every level and industries.
Biography
Malak BOURDOUANE studied a BBA in UMV in Morocco, passionate about customer relationship management, and with a decade of professional experience in different sectors, she has occupied numerous management positions in Morocco and Turkey in different international companies, managing international sales and business development from East to West with her multi languages capacities. She is currently working in one of the most famous Industrial IoT Companies that is based in the US as a Partnership Director where she learned and made her way in the IoT World by creating and managing the strong relationship with the company’s customers and partners, as she always said “ the best Marketing way it’s not only #Satisfied Customer But also a #Satisfied Partner because we should always support our partners in every term” Within the IIoT World, she learned the efficiency of being agile, predictive, and monitoring in Industry 4.0 and how we can implement it in different industries.
Abstract
Solder joint interconnections are the most vulnerable structural elements in the today’s electronics engineering, including astronautics [1, 2], where reliable and predictable performance of materials and structures is particularly critical. Such a vulnerability is mostly due to the possible inelastic deformations that the solder material experiences and, as a result of that, suffers from low cycle fatigue [3–5]. Low cycle fatigue is defined, as is known, as material’s behavior caused by repeated application of elevated loading that leads to inelastic/plastic deformations in each cycle. Inelastic thermally induced strains occur in solder joints at low temperature conditions, when the deviations from the zero stress at the soldering temperature are the largest and the thermally induced stresses and strains caused by the thermal expansion/contraction mismatch of the soldered components are the highest. Solder joint interconnections intended for space electronics experience extremely low temperatures, when used outside the spacecraft, and if the device is employed interchangeably outside and inside the craft, the solder material might experience low cycle fatigue conditions. There are several independent and effective ways to minimize or even to avoid inelastic strains in this material [2]: use of high yield stress solder and/or a solder with a low soldering temperature and/or a low expansion substrate for its better thermal match with silicon and/or a compliant interface (such as, e.g., low modulus CGAs instead of high modulus BGAs, as shown in Figure 1), and/or inhomogeneous solder layer designs: e.g., high modulus, high soldering temperature and highly thermally conductive solder can be employed in the assembly’s major mid-portion, where heat-transfer considerations play the major role, and low-modulus and low soldering temperature bonding material (even not necessarily solder) - at the peripheral portions of the assembly, where mechanical strength is critical.
Biography
Ephraim Suhir is on the faculty of the Portland State University, Portland, OR, USA and is also CEO of a Small Business Innovative Research (SBIR) ERS Co. in Los Altos, CA, USA. He is Foreign Full Member (Academician) of the National Academy of Engineering, Ukraine (he was born in that country); Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the American Society of Mechanical Engineers (ASME), the Society of Optical Engineers (SPIE), and the International Microelectronics and Packaging Society (IMAPS); Fellow of the American Physical Society (APS), the Institute of Physics (IoP), UK, and the Society of Plastics Engineers (SPE); and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). Ephraim has authored about 500 publications (patents, technical papers, book chapters, books), presented numerous keynote and invited talks worldwide, and received many professional awards, including 1996 Bell Laboratories Distinguished Member of Technical Staff Award for developing effective methods for predicting the reliability of complex structures used in AT&T and Lucent Technologies products, and 2004 ASME Worcester Read Warner Medal for outstanding contributions to the permanent literature of engineering and laying the foundation of a new discipline “Structural Analysis of Electronic Systems”. Ephraim is the third “Russian American”, after S. Timoshenko and I. Sikorsky, who received this award. His most recent awards are 2019 IEEE Electronic Packaging Society (EPS) Field award for seminal contributions to mechanical reliability engineering and modeling of electronic and photonic packages and systems and 2019 IMAPS Lifetime Achievement award for making exceptional, visible, and sustained impact on the microelectronics packaging industry and technology.
Abstract
Biography
Digby D. Macdonald is a native of New Zealand, a naturalized US citizen, and is a Professor in Residence (semi-retired) in the Departments of Nuclear Engineering and Materials Science and Engineering at the University of California at Berkeley. He holds B.Sc. and M.Sc. degrees from the University of Auckland and a Ph. D. from the University of Calgary (1969), all in Chemistry. He specializes in the growth and point defect structures of thin oxide, passive films on metal surfaces under extreme environmental conditions and developed the Point Defect Model for describing the physico-electrochemistry of such systems for which he was nominated for the Nobel Prize in Chemistry in 2011. He has also developed the modern theory of stress corrosion cracking, corrosion fatigue, and pitting corrosion in terms of the deterministic Coupled Environment Models and is a pioneer in the modern form of Electrochemical Impedance Spectroscopy. One of his major activities has been the modeling of the electrochemical and corrosion properties of structural materials in the coolant circuits of operating, water-cooled nuclear power reactors and recently modeled for DOE the coolant circuit of the ITER that is currently being built in Cadarache, France. ITER is the World’s first fusion technology demonstration reactor. He has also contributed to developing the science base for the disposal of High-Level Nuclear Waste in the US (Yucca Mountain), Belgium, and Sweden. Prof. Macdonald has published more than 1000 papers in peer-reviewed journals and conference proceedings and has published four books. He is a Fellow of the Royal Society of Canada, the Royal Society of New Zealand (the “National Academies” of those countries and is a Member of the EU Academy of Sciences. He enjoys a H-index of 82 and his papers have been cited over29,740 times.
Abstract
Biography
Abstract
Biography
Dr. Tomasz Krystofiak in 1994 was finished study of Faculty of Wood Technology at Agriculture Academy in Poznan. In 2002 he prepared a PhD dissertation and in 2019 habilitation. Author or co-author of more than 300 scientific publications in the scope of gluing and finishing of wood and wood based composites. To his research activities belongs surface phenomena, wettability, adhesion and adherence, modification, gluability and paintability of lignocellulosic materials. He was a Management Committee Member of COST Actions FP1006 and CA15216 and Working Group Member (FP1303 and FP1407). Since 2021 Guest Editor in 6 Special Issues in Coatings, Forests, Materials journals.
Abstract
Laser Directed energy deposition (L-DED), one of the typical additive manufacturing approaches, enables producing large metallic components; however, geometric defects tend to occur in the forming of thin-walled parts, severely impeding the final accuracy and quality. Focusing on the abnormal height variability of the layers during the forming, we propose a framework to implement the real-time layer height prediction and height consistency compensation. First, the deposited layer contour can be extracted with in-situ imaging. Through interval division for the as-built thin wall under the given coordinate, the flatness rate (η) is introduced to quantify the height consistency of the layer. Next, the mapping relationship between layer height and scanning speed (h-v) is established, and by updating the dataset and iterating the h-v function with the height data of the preceding deposition. And then the next layer's height can be predicted, and the parameter feedback can be achieved to be used for the flatness compensation layer by layer during the subsequent deposition. Finally, the applicability of the proposed method is validated through forming experiments. The proposed framework is able to effectively compensate the height consistency according to the parameter feedback in real time, and the maximum improvement of the η of the thin-walled part was 22.8%. We present a real-time process monitoring and in situ defect repair methodology and aim to inspire more reliable and intelligent laser application in additive manufacturing.
Biography
Lida Zhu has completed PhD and postdoctoral studies from the Northeastern University (NEU), China. During his PhD study, he visited The University of British Columbia as a visiting scholar in 2008. He has been working as a professor of School of Mechanical Engineering and Automation, NEU since 2011. He studied in University of New South Wales as a visiting scholar in 2016. In recent five years, he published more than 60 papers in reputed journals and more than 30 patents. He serves as editor or reviewer for many international journals, like INT J ADV MANUF TECH, J INTELL MANUF, etc.
Abstract
As machine learning approximates human intelligence, an explosion of innovation and discovery is predicted. It is referred to as the Singularity.
In time, Artificial Intelligence will be able to link all known data and information about human health and present a fully integrated, fully interoperable model of the mind-body complex.
Dr Eastwood will start this talk with the premise that we need to redefine “intelligence”. If we are not well intentioned in our dealings with others then we are not “intelligent”.
The same applies to Artificial Intelligence. Despite many positives of the technology there are many catastrophic dangers if the logical rules of computer programs are not consistent with the morals and ethics of a noble collective consciousness.
Prof Stephen Hawking summed this up perfectly when he is quoted as saying “The discovery of full Artificial Intelligence will be the greatest discovery in human history ... or the end of it!”
Biography
Dr Sean Eastwood has been a chiropractor in private practice for 20 years. Since 2013, he has been researching & developing the work of a now-deceased Australian software developer who claimed, and was never disproven, to have found "true" Artificial Intelligence (AGI) in 1999, based on the premise that the human thought process is a natural law like gravity. But computers don’t experience emotions or store unhealthy beliefs in a physical way. The result of Dr Sean's research & development are precise blueprints for thought and perception that accommodate all forms of physical, energy & light medicine. Originally an accountant and computer systems analyst, he retrained as a chiropractor to be eligible for post-graduate study in mind-body health. He is a certified practitioner of Neuro Emotional Technique (NET). Alan Turing, famous for shortening World War II by cracking German ciphers (as depicted in the movie The Imitation Game), merged mathematics, computer science, psychology and philosophy to create machine learning. Dr Sean's first book, Logically Accurate, Emotionally Healthy, and his online courses are an extension of Turing's work as it relates to human health.
Abstract
My presentation will consist of several factors that lead to Latent Print Examiners feeling stressed out or experiencing burnout. I will discuss varying topics related to this such as court, case management, backlogs, biases, and leadership. I reached out to several agencies and received responses from LPE's and Forensic supervisors . I will also discuss how these agencies help keep stress and burnout low.
Biography
Candice Sieg is a Latent Print Examiner who has been in the field since 2016. She has an Associates degree from the University of North Florida and became a Certified Examiner in January of 2023. She has previously presented a lecture to the North Carolina IAI.
Abstract
Neurodegenerative diseases, characterized by progressive loss of structure and function of neurons, pose a significant challenge in the field of neuroscience. The application of CRISPRCas9 technology offers a promising avenue for exploring and addressing the genetic
underpinnings of these disorders. This paper delves into the potential of CRISPR-Cas9 as a therapeutic tool in combating neurodegenerative diseases, with a focus on Alzheimer's, Parkinson's, and Huntington's diseases.Our approach involves the identification and modification of disease-specific genetic mutations using CRISPR-Cas9. We discuss the methodology for selecting target genes associated with each disease and the subsequent design and application of CRISPR-Cas9 systems to edit these genes in cellular and animal models. The efficacy of these edits is assessed through a combination of molecular and behavioural analyses, aiming to establish a direct link between genetic modifications and phenotypic outcomes.The paper highlights key findings demonstrating successful gene editing leading to the mitigation of disease symptoms in models. We also address the challenges and ethical considerations in translating these findings from bench to bedside, including delivery mechanisms, off-target effects, and long-term implications of gene editing. In conclusion, this research underscores the transformative potential of CRISPR-Cas9
technology in understanding and treating neurodegenerative diseases. By providing insight into the molecular mechanisms of these conditions, our work lays the groundwork for developing novel gene therapy strategies, paving the way for more effective and personalized treatments in the future.
Biography
Swastik Anupam, a dedicated researcher with expertise in Quantum Computing, is currently pursuing a Bachelor's degree in Computer Science and Engineering at Amity University Kolkata, with an expected graduation date in July 2027. He has demonstrated a strong focus on research and development, cybersecurity, and machine learning. Swastik has actively contributed to the field through authoring chapters for upcoming publications and is engaged in authoring research papers for significant conferences. He is an IEEE member specializing in Quantum Computing and Machine Learning and has developed an innovative 'Advanced 3-Layer Firewall' technology, currently in the patent process. Swastik's work exemplifies a blend of academic rigor and practical innovation, contributing to advancements in technology and cybersecurity. I am an amateur researcher in astrobiology and genetic programming.
Abstract
Abstract 10 (Speak at the 11th Global Webinar on Applied Science, Engineering and Technology ) Atoms and Particles , New Quantum Relativistic Equations This paper dicusses the universe by using quantum -relativity. Many calculations for Particle rest-mass determination is performed studying the relationship between different particles and elementary particles . We also discuss a new Quantum Relativity gravitation theory for the universe. Different curvatures(space-time)(elliptic, flat and hyperbolic) with different light speeds and effects on particle mass is also discussed, General Variable Geometry Physics is Developed. We will here bring up The Exponential-Bi-Logarithmic Trancendental Transformation with rational and Trancendental numbers, as angles e.t.c,… and related algorithms,…
Biography
Tony Barrera is a certified autodidact math genius. He have published more than 42 Ordinary high rated scientific papers And up to several hundred publications ,computer simulations and animations In different subjects, scientific papers in mathematics , computer graphics, numerical analysis, astrophysics and Particle Atomic physics. Tony does research general together with prof Ewert Bengtsson, Prof Anders Hast and Physicist Bo Thelin and the crew of Barrera Science Lab. Tony Barrera have been working for the company AB Consonant with implementation of the Fast Fourier Transform, FFT , and as a computergrahics researcher at Cycore AB (Webbgraphics). Constructor of about 10 - 20 different Graphics Engines , Assembler ,Basic, Pascal and/or C++ computer languages. Started with mahematics and science at age 3, got the first Astronomy book (from mother Elisabeth Mercadal) at 9, the first Chemistry set at 10 , Chief (head) of Barrera Science Lab.
Abstract
BETULA CORTEX
Arteriosclerose :D2, D3, D6 dil ou D12 amp Abnoba( en association avec arteria carotis ou femoralis par ex)
Prurit senile D3 dil ou amp
Eczema sec D3 dil
Psoriasis D2 dil ou D3, D6, D12 ou D20 amp Abnoba
Allergies D12 amp Abnoba(en association à Gencydo)
BETULA FOL
AthriteD1, D2 ou D6 dil ou amp
Polyarthrite rhumatoide D6 dil ou amp
Fibromyalgie D6 ou D12 dil ou amp
Fatigue post covid D12 amp (et syndrome post vaccination)
Maladies neurodénératives : maladie de Parkinson et démences (en association avec Plumbum mel) D12 ou D20 amp
VISCUM BETULAE (Abnoba)
Traitement de support en cancerologie : D6 à D3O amp ( brain fog par ex) ou de 0,02 mg ,0,2mg,2mg et 20 mg amp
BETULA FOLIUM Oleum 5% Wala : arthralgies
CARBO BETULAE TRIT : colopathies fonctionnelles
BIRKENKOHLE COMP Kapseln (gelules Weleda) : Antimonit /carbo betulae/chamomilla radix decoct. Colopathies fonctionnelles
BETULA/ARNICA COMP : Betula fol D3/Betula cort D4/Argentum Met D7/sulfurD5/FormicaD7/Arnica D14 amp, glob Wala: arthralgies et arthrose (periarthrites , gonarthrose etc)
CARTILAGO COMP :
Cartilago D7/AurumD9/Stannum metD7/Formica D16/Betula fol D4/Allium cepaD14 amp ou glob Wala : arthrite et arthrose.
Biography
Abstract
Biography
Criminal InvestigativeAnalyst Criminal Intelligence Analyst Geographic Profiler GPA I CertifiedAnti-TerrorismSpecialist
Abstract
The present chapter describes various methods of gene sequencing and explores the point mutations of SARS 2Covidvirus. Data sets with different annotations were downloaded from NCBI virtual platform. The Denova and illumina methods were employed to extrapolate the point mutation of Covid19, as per the analysis of whole genome we noticed that, the similarity was 957 / 1330 (71.95%), number of mismatched: 373 (28.04%) and 5 (0.37%) mutant variants were seen (Analysis of data sets were done in R statistical software). Probability distribution like Cauchy, Exponential, Gamma, Log normal, Logistic, Poisson and Weibull distribution models were formulated to know the variation of genetic sequences at whole genomic level. Covid19 genetic data sets were subjected for New Predictive Sequencing model. The demonstrated models found to bestatistically more epoch and heavily concentrated on the analysis of long throughput datasets to know the trend and seasonal effect of Ascii score, the formulated predictive models is very useful to know the seasonal and random effect of Ascii and Pherd score by comparing the short and long through put datasets of whole genomic analysis inclusion with transcriptomics, proteomics and sequencing of amino acids etc., Correlation matrix was explored from whole genomics to know the distance of genome of different annotations, the mean distance of gene 15.21 with SD 0.93 was observed in USA and South Korea and also it was found to be significantly correlated (augmented) with virulence of virus and diseases pandemism at population level.
Biography
Dr.Basavarajaiah D.M working as an Associate Professor and Head , Department of Statistics and Computer Science, Dairy Science College, Karnataka Veterinary Animal and Fisheries Sciences University (B), Hebbal, Bangalore. My area of research heeds Statistical theory, Statistical modelling on high dimensional datasets of Agriculture, Engineering, Medicine, Veterinary and animal Sciences. Penned sixty eight research articles and five academic books. Serving as an editorial Board Member and Scientific Board advisor of Various International indexed journals. Life Member of various academic organizations. Honoured several accolades for my academic and research Excellency “Chartered Scientist award stalwart by Science Council, United Kingdom in Collaboration with Royal Statistical Society. Best Reviewer award -2016 ‘TRANS STELLAR’ Journal Publications and Research Consultancy ,TJPRC Ltd., (NAAS rated Journals), Fellow of Royal Statistical Society ,UK (London), Fellow of Mathematical Society ,UK (London), Bharathshikshratana and Indo-Dubai Achiever’s Pacific award honoured by Global Society of health and educational growth new Delhi, Best reviewer -2015, Best scientific Board advisor - 2016 and Best editorial Board Member awards bestowed by International academy of Engineering Science and Technology (IASET),USA.
Abstract
The Impact of Generative AI on Digital Forensics
Sheeba Armoogum1, Vinaye Armoogum2,
1Department of Information & Communication Technologies, University of Mauritius and 2Department of Industrial Systems Engineering, University of Technology, Mauritius
Digital forensic science has helped investigators in unravelling crimes on digital platforms to a vast extent. Although substantial pieces of evidence and DNA of the culprits can convict a criminal in a real-world crime, digital forensics relies entirely on digital footprints. However, the evidence obtained mostly identifies the users or the user account(s) associated with the digital shadow. With the escalating growth in the usage of generative Artificial Intelligence in cybercrime, the metadata acquired by the digital investigation requires further examination to identify the actual digital footprints. Cybercriminals are using generative AI to counterfeit text, images, voice and videos. This Deepfake technology and catfishing method may misdirect forensic observation and investigation, posing a significant threat to the investigation. Our research work observed that digital forensics investigation requires extensive and exhaustive methods to infer the shreds of evidence obtained.
Biography
Dr Sheeba Armoogum is an Associate Professor at the Department of Information and Communication Technologies (ICT) at the University of Mauritius (UoM). She holds a PhD in Cybersecurity and a South African Patent related to Cybersecurity classified under the World Intellectual Property Organisation (WIPO) Inventor Class H04L from the South African Patent Office. She has been recently awarded the Global Women Inventors & Innovators Network (GlobalWIIN) Special Recognition Award 2023. Currently, she heads the Cyber Security & Forensics Research Group.
Abstract
In today’s rapidly digitalizing world, cybersecurity has become a pivotal factor in ensuring the stability, trust, and resilience of digital economies. As businesses, governments, and individuals increasingly rely on digital platforms for financial transactions, data storage, and daily operations, the need for robust cybersecurity measures has become more urgent than ever. This article explores the impact of cybersecurity on digital economic growth, with a particular focus on data protection and the strategies required to safeguard sensitive information. By assessing cybersecurity challenges and solutions in diverse sectors, we examine how enhanced data protection measures contribute to a sustainable digital economy and promote trust among stakeholders.
Biography
Will Update soon
Abstract
Biography
Abstract
Cross-contamination of evidence poses significant challenges in forensic investigations, potentially compromising the integrity, reliability, and admissibility of forensic findings. This issue arises due to various factors, including improper handling, inadequate storage conditions, and lapses in procedural protocols. Given the critical role of forensic evidence in criminal justice, addressing contamination risks is essential for ensuring accurate and credible case outcomes. The challenges associated with cross-contamination of forensic evidence and the effective strategy to mitigate contamination risks is examined. A systematic review of forensic literature, standard operating procedures, and case studies was conducted to identify common sources of cross-contamination and the key risk factors includes inadequate personal protective measures, improper packaging and transportation, environmental exposure, and human error. Additionally, best practices from leading forensic institutions were analyzed to identify measure for contamination prevention. The findings emphasized that preventing cross-contamination requires strict adherence to chain of custody protocols, proper use of personal protective equipment, and regular training for forensic practitioners, law enforcement personnel, and legal professionals. The study highlights the importance of standardized forensic procedures, investment in modern forensic infrastructure, and interdisciplinary collaboration to minimize contamination risks. Addressing cross-contamination challenges necessitates rigorous standard operating procedures, continuous professional training, and enhanced forensic laboratory practices. Strengthening forensic protocols and fostering cooperation among law enforcement, forensic experts, and judicial stakeholders can significantly enhance the reliability of forensic investigations. Hence, the need to establish standardized contamination prevention guidelines, integrate technological advancements in forensic analysis, and allocate adequate resources for forensic infrastructure development as crucial steps toward ensuring the integrity and credibility of forensic evidence.
Biography
Dr. Stacy Nwodo, PhD, is a highly esteemed expert in forensic accounting, security, education, and administration. She holds three master's degrees and two PhDs-one in Forensic Accounting and Audit from the British West Indies (UK) and another in Security and Strategic Studies from Nigeria- demonstrating her outstanding academic credentials. Her career seamlessly blends public and private sector experience, with her roles as a Chartered Accountant and Licensed Forensic Professional. Dr. Stacy actively leads hands-on forensic training initiatives, bringing her expertise to diverse domains. As Country Director of the International Institute of Certified Forensic Investigation Professionals (IICFIP) in Nigeria, Lead Consultant at JJTC Consulting Ltd, and the International College of Disaster Management and Forensic Studies (ICDMFS), as well as Board Chairman of IACDECFP in the UK, she plays a pivotal role in shaping global forensic practices and her contributions to humanity in term of giving to the less privileged is immeasurable.
Abstract
• Basic concepts of Neurology, Neuroanatomy and Neuroscience and their relationship with the path of the Meridians that circulate at the cranial level.
• Mechanism of action that explains the effect of sensory and motor stimuli at the level of the cerebral cortex, through the needles, in the process of Neurogenesis, neuroplasticity and cellular regeneration.
• Physiological mechanism that explains the effect of the needle stimulus in the increase of Cerebral Blood Flow (CBF) in the increase of metabolism, improvement of nutrition and oxygenation at the cerebral level.
• Characteristics of the main Craniopuncture Microsystems that integrate the Integrative Neuroacupuncture System.
• Relationship of Neuroacupuncture in the Regulation of the Parasympathetic Function of the Vagus Nerve, and the Trigeminal Nerve.
• Common Neurological Disorders and Clinical Cases that can be treated with Integrative and Contemporary Neuroacupuncture.
Biography
Dr. Fidel Ojeda Cesar, originally from Cuba, has a degree in Physical Therapy and Rehabilitation, graduating from the Faculty of Medical Sciences of Santa Clara in 1996. Since 2003, he has lived in Venezuela, where he has worked in the Ministry of Health as an Acupuncturist and in the training of community comprehensive doctors. He continued his training in Traditional Chinese Medicine, obtaining his degree from the CEMTCVEN of Venezuela in 2015, in addition to advanced studies at the University of Chinese Medicine in Yunnan, China. He has specialized in Bioenergetic Acupuncture, with a focus on acupuncture microsystems, including first Fang Yunpeng and Jiao Shunfa's Craniopuncture, Zhu Scalp Acupuncture, Jason Hao's Neuroacupuncture, Abdominal Acupuncture and Yamamoto Crabeopuncture. With extensive experience in Neurological Physical Rehabilitation, he treats pathologies such as stroke sequelae, infantile cerebral palsy, trigeminal neuralgia, Multiple Sclerosis, spinal cord injuries, migraines, cerebellar ataxia, autism, ADHD, and others. He is also an expert in Umbilical Acupuncture or Master Tung's Taiwanese Acupuncture. He currently has his private practice in Colombia and Venezuela, in addition to teaching Seminars and Medicine Courses in Mexico, Spain, Chile, Argentina, Ecuador and Peru through the School of Traditional Oriental Medicine. This summary maintains the key points of your background and experience, making it ideal for a clear and professional presentation.
Abstract
The identification of the human person in forensic medicine is based on a series of scientific methods, which allow the forensic pathologist to determine the probability that two samples belong to the same individual, going so far as to find a perfect match when comparing two sets of evidence: a known evidence, usually belonging to the person that we have information about and a sample to analyze, about which we want to know if it belongs to that specific person. Throughout history there have been different methods of identification, specific to the level of scientific evolution in each period. For example, over a century, from the 1880s until the beginning of 1980s, human identification was performed using methods such as fingerprinting, blood groups, Rh factor, MNSs antigens, the HLA system, and, most recently, the genetic fingerprinting. This paper addresses the analysis of bloodstains for human identification, from blood groups to DNA fingerprinting, along with the benefits, improvements, and challenges associated with each method.
Keywords: human identification, bloodstain, blood groups, DNA, challenges
Biography
Beatrice Gabriela Ioan is Professor of Legal Medicine and Bioethics at “Grigore T. Popa” University of Medicine and Pharmacy of Iasi, Romania, She also serves as forensic pathologist at the Institute of Legal Medicine of Iași. She graduated from the Faculty of Medicine in 1993, the Faculty of Psychology in 2002 and the Law Faculty in 2012. In 2004 she graduated from the Master Program in Bioethics at Case Western Reserve University, USA. She is a member of the Committee on Bioethics of the Council of Europe and its former Chair and a member of the International Bioethics Committee- UNESCO. Bianca Hanganu is a forensic pathologist, specialist physician, and assistant professor in Forensic medicine at Grigore T Popa University of Medicine and Pharmacy of Iasi. She attended many international scientific meetings where she presented her work and has published papers in the field of forensic medicine, bioethics, and medical communication, her main areas of interest. Irina Manoilescu is a senior forensic pathologist since 2016 and lecturer in Forensic medicine at Grigore T Popa University of Medicine and Pharmacy of Iasi since 2020. She graduated from Grigore T Popa University of Medicine and Pharmacy in 1998. Since then she attended numerous postgraduate courses in Forensic Medicine, both national and international as well as various scientific conferences. She is author of numerous papers in the forensic medicine field.
Abstract
Peter is a leading forensic search specialist and has worked on many high-profile missing person cases and has located human remains and evidence on land and underwater that have gone undetected for years. In June 2007 Peter Faulding was called in by Lothian & Borders police (Operation Mahogany) to plan and conduct a full geophysical and forensic search of serial killer Peter Tobin’s former home in Bathgate, Scotland. The intention was to search for the remains of Vicky Hamilton who disappeared in 1991. The extensive search lasted over a week. While carrying out a detailed search of the loft, found a dagger was found concealed in the rafters. Following forensic examination, it was found to contain the DNA of Vicky Hamilton. This was the final piece of the jigsaw that the police needed to link Peter Tobin to the murders of Vicky Hamilton and Dinah McNicol who both went missing in 1991. Tobin was sentenced to life for their murders.
Biography
Peter Faulding is the founder & CEO of Specialist Group International (SGI), a world renowned company specialising in forensic search on land and underwater. Peter is a leading forensic search specialist and has worked on hundreds of cases, locating and recovering vital evidence and human remains in the remotest of places. Peter will give a photographic insight to many of the murder and missing cases he has worked on, including serial killer Peter Tobin.
Abstract
Wildlife poaching is currently a major threat to the existence of numerous threatened species. Different multilateral agencies and laws have been enacted to advocate against poaching,
however for these law enforcement agencies to effectively work, there must be a scientific way of identifying the animal products being illegally traded, even when made into an object. This study aimed to use the handheld microscope to identify the origin of the species of ivory objects, use XRF to distinguish between genuine and fake ivory and use proteomic approaches to distinguish elephant, mammoth and hippo ivories. Of the 44 samples analyzed by the handheld microscope, 43 could be identified as their origin using special features like Schreger lines in elephant ivories. One sample could not be identified because it was highly worked and fashioned. A difference in elemental profiles between ivory and fake ivory objects using pXRF was observed: true ivory had higher concentrations of Ca and P which is related to the presence of Hydroxyapatite in ivory. The m/z values between a hippopotamus and elephant ivory were noted at 2115 for elephants and 2147 for hippos using peptide mass fingerprinting. Although all the tested methods have proved useful in forensic wildlife identification, the use of pXRF and morphological analysis could serve as a screening tool, while MALDI-TOF analysis would be suitable for confirmation of species identification.
Biography
Daud Jackobo Ngasa is a forensic DNA expert with over eight years of professional experience.He holds a B.Sc. in Molecular Biology and Biotechnology (University of Dar es Salaam, 2017) and an M.Sc. in Forensic Archaeology and Anthropology (Cranfield University, 2021). He has received advanced training in proteomics and palaeoproteomics through programmes linked to the University of Cambridge and the University of Oxford, as well as specialist training in human identification, elemental profiling, and forensic proteomics from institutions in Denmark, the UAE, and South Africa. Ngasa is a Forensic DNA Analyst at the Government Chemist Laboratory Authority, a gazetted Government Analyst, and a SADCAS ISO/IEC 17025:2017 technical signatory actively contributing to forensic practice and capacity building in Tanzania.