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Enregistrement W2299960721 · doi:10.15200/winn.144703.34527

Move over DNA: Here comes forensic pollen analysis

2015· dataset· en· W2299960721 sur OpenAlex

Pourquoi ce travail est dans la base

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
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Notice bibliographique

RevueThe Winnower · 2015
Typedataset
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueForensic and Genetic Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésForensic sciencePollenComputational biologyComputer scienceBiologyGeneticsBotany

Résumé

récupéré en direct d'OpenAlex

By Colleen Murphy Almost everyone has heard of DNA evidence that places the murderer at the scene of the crime. The investigators find a hair or blood on the victim that undergoes forensic analysis to help solve the crime. However, a relatively new technique in forensic analysis could aid investigators - it is known as palynology. Palynology is the study of newly collected or fossilized pollen, spores and a type of plankton known as dinoflagellates. Palynology is an interdisciplinary science that combines geology and biology, particularly botany or plant science. Palynology is useful in science in general, but it is starting to be employed in forensics as well. Louisiana State University (LSU) doctoral candidate Shannon Ferguson studies palynology and recently interned with the Department of Homeland Security (DHS) in Houston. As an intern, Ferguson worked in Customs and Border Protection with Dr. Andrew Laurence, the head palynologist. "Pollen has a wide utility, because it's everywhere," Ferguson said in an article published by the LSU College of Science, "What ever question you're trying to answer, it can help. It's not going to be perfect, but it's going to get you close and definitely in the right direction." During her internship at DHS, Ferguson worked closely with Dr. Laurence on the Baby Doe murder case. The Baby Doe murder case revolved around a two year old child that was found dead after her body washed ashore Deer Island, a peninsula in Boston, on June 25, 2015. The baby had no identity, and all that the investigators had was a computer-generated image of the little girl. "When the samples arrived, we had a pair of her leggings, two blankets that she was wrapped in and a little piece of her hair," Ferguson said in an interview with LSU student newspaper The Reveille. The analysis from the trace amounts of pollen found on the clothes and hair helped investigators determine what area the little girl was from. Ferguson has described the pollen analysis as tricky because scientists use tiny vacuum cleaners to suck up the pollen grain through a filter. Once the samples have been sucked up, individual pollen grains are isolated from chemical processing to be examined. From the pollen analysis, it was concluded that the little girl was from the local northern area of Boston because of the spruce grain pollen identified. The little girl was identified as Bella Bond after further research. In mid-September,Bella Bond's mother's boyfriend was arrested for her murder, as was the mother who is being charged as an accessory. Being attached to the Baby Doe crime investigation was a first for Ferguson. The Baby Doe case made a huge impact on Ferguson's internship with the DNC, and she is looking forward to interning with the DHS again this summer. I had the opportunity to ask Ferguson how she felt about the media attention. She was excited that palynology was in the forensic spotlight: "With the media coverage around this case, I'm happy that forensic palynology is getting the attention it deserves, and will hopefully help the science become routine in U.S. criminal cases as it is in many parts of Europe and Canada." "The ability to determine the specific location of a crime is unique to forensic palynology, and we need U.S. law enforcement to embrace this tool as they have for decades overseas," Ferguson said. Ferguson was able to land this internship because in 2013 the father of forensic palynology, Dr. Vaughn Bryant, invited her faculty advisor Sophie Warney to attend a DHS/FBI meeting in D.C. to speak about the use of pollen in forensics. After that meeting, the Nations Center for Biomedical Research and Training at LSU funded a forensic project and Ferguson was able to receive training in forensic palynology as well as make connections that helped her receive the internship at DHS. Ferguson's interest in palynology began while she was getting her bachelor's degree in geology at Georgia Southern University. Her advisor at Georgia Southern University recommended that Ferguson enroll in the PhD program at LSU. Ferguson is in her final year of postdoctoral studies at LSU. Her research at LSU has revolved around studying vegetation and sea-level changes for coastal Texas for the last 10,000 years through palynology analysis. Whenever Ferguson has been asked by different media outlets about her plans for the future, she says that she is keeping an open mind to all possibilities. However, she does know that she will always be interested in pollen. "I'm passionate about palynology no matter the topic, and have been lucky having the opportunity to study not only 'classical' palynology (climate/vegetational change) as well as forensics," Ferguson said. Image photo credit: Photo Credit: Deer Island_DSC_0438, Sam Feinsilver, Flickr.com. Update 11/8/2015: Post edited by Paige Jarreau

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,847

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,300
Écart entre enseignants0,285 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle