서브메뉴
검색
Evolution of Primate Cuboid Form and the Application of Learning Methods to the Analysis of Morphological and Behavioral Phenotypes
Evolution of Primate Cuboid Form and the Application of Learning Methods to the Analysis of Morphological and Behavioral Phenotypes
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105246
- ISBN
- 9798291574539
- DDC
- 573
- 서명/저자
- Evolution of Primate Cuboid Form and the Application of Learning Methods to the Analysis of Morphological and Behavioral Phenotypes
- 발행사항
- [Sl] : University of Illinois at Urbana-Champaign, 2023
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- 형태사항
- 147 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Polk, John D.
- 학위논문주기
- Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2023.
- 초록/해제
- 요약This dissertation makes several significant contributions to the field of functional and evolutionary morphology, with a particular focus on primate (including human) locomotor adaptations. It is composed of three distinct, yet interconnected studies.The first study underscores the necessity of evaluating models of morphological evolution within a phylogenetic context. It delves into the morphological diversity of anthropoid cuboids, exploring the interplay between random and adaptive evolutionary processes. By employing geometric morphometric techniques and modern phylogenetic comparative methods, the research uncovers that both types of evolutionary processes have significantly shaped the cuboid morphology of anthropoid primates. This discovery emphasizes the importance of considering phylogeny in primate studies and has far-reaching implications for our understanding of primate evolution.The second study introduces Explainable GaitViT, a revolutionary transformer-based model designed to improve the accuracy and interpretability of human joint kinematic data classification. The model's superior performance in classifying different lower limb joint kinematics, coupled with its enhanced interpretability due to modern explainable AI techniques, suggests promising clinical applications. These include the potential to discern movement pattern differences between treatment groups based on a limited set of sequential gait variables.The third and final study presents the Morphological Variation Quantifier (morphVQ), a novel shape analysis pipeline for quantifying and analyzing shape variation within the functional domain. The pipeline's effectiveness in characterizing shape variation, and its superiority over manual digitization and the existing automated morphological phenotyping approach (auto3DGM), indicate potential applications across various fields such as biology, anthropology, and medicine.This dissertation significantly advances our understanding of primate and human evolution, gait analysis, and morphological phenotyping. It challenges existing theories, uncovers new avenues for research, and has profound implications for our understanding of primate and human evolution, gait pathologies, and the relationship between form and function. The innovative methodologies and findings presented in this work contribute to the existing body of knowledge and pave the way for future research in these fields.
- 일반주제명
- Physical anthropology
- 일반주제명
- Bioinformatics
- 키워드
- Cuboid
- 키워드
- Gait analysis
- 키워드
- Machine learning
- 기타저자
- University of Illinois at Urbana-Champaign Anthropology
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2023 us c eng d■001000017359990
■00520260202105246
■006m o d
■007cr#unu||||||||
■020 ▼a9798291574539
■035 ▼a(MiAaPQ)AAI32272141
■035 ▼a(MiAaPQ)httphdlhandlenet2142121919
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a573
■1001 ▼aThomas, Oshane Odane.
■24510▼aEvolution of Primate Cuboid Form and the Application of Learning Methods to the Analysis of Morphological and Behavioral Phenotypes
■260 ▼a[Sl]▼bUniversity of Illinois at Urbana-Champaign▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a147 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Polk, John D.
■5021 ▼aThesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2023.
■520 ▼aThis dissertation makes several significant contributions to the field of functional and evolutionary morphology, with a particular focus on primate (including human) locomotor adaptations. It is composed of three distinct, yet interconnected studies.The first study underscores the necessity of evaluating models of morphological evolution within a phylogenetic context. It delves into the morphological diversity of anthropoid cuboids, exploring the interplay between random and adaptive evolutionary processes. By employing geometric morphometric techniques and modern phylogenetic comparative methods, the research uncovers that both types of evolutionary processes have significantly shaped the cuboid morphology of anthropoid primates. This discovery emphasizes the importance of considering phylogeny in primate studies and has far-reaching implications for our understanding of primate evolution.The second study introduces Explainable GaitViT, a revolutionary transformer-based model designed to improve the accuracy and interpretability of human joint kinematic data classification. The model's superior performance in classifying different lower limb joint kinematics, coupled with its enhanced interpretability due to modern explainable AI techniques, suggests promising clinical applications. These include the potential to discern movement pattern differences between treatment groups based on a limited set of sequential gait variables.The third and final study presents the Morphological Variation Quantifier (morphVQ), a novel shape analysis pipeline for quantifying and analyzing shape variation within the functional domain. The pipeline's effectiveness in characterizing shape variation, and its superiority over manual digitization and the existing automated morphological phenotyping approach (auto3DGM), indicate potential applications across various fields such as biology, anthropology, and medicine.This dissertation significantly advances our understanding of primate and human evolution, gait analysis, and morphological phenotyping. It challenges existing theories, uncovers new avenues for research, and has profound implications for our understanding of primate and human evolution, gait pathologies, and the relationship between form and function. The innovative methodologies and findings presented in this work contribute to the existing body of knowledge and pave the way for future research in these fields.
■590 ▼aSchool code: 0090.
■650 4▼aPhysical anthropology
■650 4▼aBioinformatics
■653 ▼aPhylogenetic comparative methods
■653 ▼aCuboid
■653 ▼aFunctional morphology
■653 ▼aGait analysis
■653 ▼aMachine learning
■690 ▼a0327
■690 ▼a0800
■690 ▼a0715
■71020▼aUniversity of Illinois at Urbana-Champaign▼bAnthropology.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0090
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359990▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
