جست‌وجوی استاد و پژوهشگر

• Nephrology
• Acute Kidney Injury
• Chronic Kidney Disease
• +۹ مورد دیگر

Lloyd G. Cantley, MD, is the C. N. H. Long Professor of Medicine in Nephrology and Professor of Cellular and Molecular Physiology at Yale School of Medicine. He serves as Vice Chair for Research and Co-Director of Education at the Yale Center for Clinical Investigation (YCCI). His primary appointments are in the Department of Internal Medicine (Nephrology) and the Department of Cellular & Molecular Physiology, and he is affiliated with numerous research programs including the Yale Cancer Center, Yale Stem Cell Center, and the Program in Translational Biomedicine (PTB). Research Interests: Dr. Cantley's laboratory investigates the fundamental mechanisms of renal tubule development, homeostasis, and repair following injury. His work focuses on epithelial cell adhesion, migration, and tubulogenesis, particularly in response to growth factors like Hepatocyte Growth Factor. A major emphasis is on understanding the role of MAPK and PI3-kinase signaling pathways in cell morphogenesis. His research has significantly advanced knowledge of the innate immune response in kidney injury, identifying distinct roles for macrophage subsets in promoting both tubular cell death and subsequent repair. His recent work has expanded to human acute and chronic kidney disease using advanced imaging techniques like Imaging Mass Cytometry. Research Trends: His recent publications (2022-2025) demonstrate a strong, consistent focus on translating basic mechanisms of kidney repair into human disease. There is a clear trend of integrating advanced technologies, particularly Imaging Mass Cytometry, to define cellular identities and interactions in human kidney biopsies from patients with AKI, CKD, and glomerulonephritis. His work bridges molecular biology, immunology, and clinical nephrology, with a recurring theme of identifying signaling pathways (like VCAM-1 and ADAMTS1) that could be therapeutic targets for preventing the progression from acute injury to chronic disease. Scientific Awards and Grants: No specific awards are listed in the provided text. His research is supported by major national organizations including the National Center for Advancing Translational Sciences (NCATS), the American Heart Association (AHA), the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), and the Department of Defense (DoD). Advising and Leadership: Dr. Cantley leads the Cantley Lab, which is integrated into the Graduate Program in Cellular and Molecular Physiology and the Yale Combined Program in the Biological and Biomedical Sciences (BBS). He plays a key leadership role in academic medicine as Co-Director of Education at YCCI, indicating a significant commitment to training the next generation of clinical investigators. While specific student names are not listed, his lab's active publication record suggests he mentors graduate students, postdoctoral fellows, and clinical researchers. Laboratories and Teams: Dr. Cantley directs the Cantley Lab , which is a central hub for his research on kidney injury and repair. His work is highly collaborative, as evidenced by his frequent co-authorship with Yale colleagues like Gilbert Moeckel, Leyuan Xu, Dennis G. Moledina, and F. Perry Wilson. His lab is a key member of the Liver Center and the Nephrology Program at Yale, and his research is supported by institutional cores such as the Yale Center for Biomedical Data Science.

• Allergy and Immunology
• Food Allergy
• Immunoglobulin A (IgA)
• +۵ مورد دیگر

Elise Liu, MD, PhD, is an Instructor of Medicine in the Department of Internal Medicine at Yale School of Medicine, specializing in Allergy and Immunology. She is a member of the Janeway Society and actively contributes to research and clinical care in food allergy and mucosal immunology. Instructor of Medicine, Yale School of Medicine Department: Internal Medicine, Section of Allergy & Immunology Research Focus: Gut immunoglobulin A, food allergy mechanisms, oral tolerance Professional Affiliations: American Academy of Allergy, Asthma & Immunology (AAAAI), American Society for Clinical Investigation (ASCI) Dr. Liu's research centers on understanding the role of immunoglobulin A (IgA) in the gut and its implications for food allergy development and tolerance. Her work combines clinical insights with experimental models to uncover immune mechanisms underlying allergic responses, particularly to peanut and egg. She investigates how dietary factors, such as food matrix composition, influence allergenicity and how metabolic pathways regulate IgA+ plasma cells. Her research has significant translational potential for developing diagnostics and therapies for food allergy. Her recent publications span high-impact journals such as Science Translational Medicine , Journal of Allergy and Clinical Immunology , and Mucosal Immunology . Themes across her work include the search for biomarkers of natural tolerance, the impact of gut permeability on anaphylaxis, and emerging diagnostic tools in allergy. Her research frequently involves collaborations with leading immunologists such as Dr. Stephanie Eisenbarth. Dr. Liu has received several prestigious awards, including: AAAI Foundation Faculty Development Award (2024) Emerging-Generation Award (2023) Membership in the American Society for Clinical Investigation (ASCI) She is also involved in professional service, serving on the Traditional Medicine Residency Intern Selection Committee at Yale. Dr. Liu mentors trainees and contributes to advancing physician-scientist development through her participation in the Janeway Society. While no formal advisees are listed, her role as an instructor and researcher positions her as a key figure in training future allergists and immunologists. Her laboratory work is conducted within the broader ecosystem of Yale’s immunology and translational research infrastructure.

Clara Marika Velteمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence
• Turbulence Theory
• +۱۴ مورد دیگر

Clara Marika Velte is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where she serves as Head of the Turbulence Centre of Excellence. Her research is centered on fluid mechanics, particularly turbulence, with a focus on theoretical modeling, experimental design, and vortex dynamics. She is actively involved in major research initiatives funded by the European Research Council and the Poul Due Jensen Foundation. PhD in Experimental and Theoretical Fluid Mechanics, DTU (2006–2009) MSc in Turbulence, Chalmers University of Technology (2004–2005) Her research interests include turbulence theory, boundary layers, flow control, vortex dynamics, and the development of theoretical models for turbulent flows. She employs advanced techniques such as Proper Orthogonal Decomposition, Reynolds decomposition, and modal analysis to study non-equilibrium turbulence and jet dynamics. Her work bridges fundamental physics with practical applications in energy and environmental engineering. Recent publications explore triad interactions, spatio-temporal structure functions, and Lumley decomposition in turbulent round jets, indicating a strong trend toward mathematical and physical modeling of turbulence dynamics. These works are targeted at high-impact journals such as Physical Review Fluids and Journal of Fluid Mechanics , reflecting her leadership in advancing theoretical frameworks in fluid dynamics. Best paper award, SEMA’18 (2018) Kalundborg Refinery Prisen (2023) Selected for special issue in Experiments in Fluids (2010) Publication in Journal of Systemics, Cybernetics and Informatics (2009) Clara Velte supervises multiple PhD students and leads several active research projects, including the PDJF Turbulence Centre of Excellence and UniEqTURB, which challenge classical paradigms like the Richardson-Kolmogorov theory. She also contributes to academic service as a member of the Editorial Board for Philosophical Transactions of the Royal Society A . Her laboratory, the Turbulence Research Laboratory at DTU, fosters interdisciplinary collaboration and innovation in turbulence science. The Turbulence Centre of Excellence at DTU, under her leadership, operates as a state-of-the-art research hub integrating experimental, theoretical, and computational approaches. The center collaborates internationally and engages in public outreach, including media appearances on turbulence in aviation and climate systems.

• Geometric Data Processing
• Computational Geometry
• Optimal Transport
• +۷ مورد دیگر

Justin Solomon is an Associate Professor in the Department of Electrical Engineering & Computer Science at Massachusetts Institute of Technology, where he serves as Principal Investigator of the Geometric Data Processing Group. He maintains dual affiliations with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Center for Computational Science and Engineering (CCSE), reflecting his interdisciplinary research bridging theoretical mathematics with practical applications in graphics and machine learning. His research interests center around geometric data processing, computational geometry, and optimal transport theory, with significant contributions to computer graphics, machine learning, and computer vision. Solomon's work spans fundamental mathematical theory to practical implementations, particularly in shape analysis, 3D reconstruction, and geometric deep learning. His research demonstrates consistent innovation in developing algorithms that bridge discrete and continuous geometry with applications in graphics, vision, and AI. The publication trends reveal Solomon's evolving research trajectory from foundational work in geometry processing toward increasing integration with modern machine learning techniques. His recent work shows strong emphasis on diffusion models, geometric deep learning, and applications of optimal transport in AI, with significant contributions to SIGGRAPH, NeurIPS, and ICML proceedings. The research demonstrates both mathematical rigor and practical impact, with applications spanning character animation, 3D reconstruction, and generative AI. Amazon Research Award (2017) for Large-Scale Geometrically-Structured Sampling Amazon Research Award (2023) for Lightweight Algorithms for Generative AI Ben Wegbreit Prize for Best Undergraduate Honors Thesis Firestone Medal for Excellence in Undergraduate Research Boothe Prize for Excellence in Writing 2nd place, SGP best paper awards (2010) Solomon has secured substantial research funding through awards like the Amazon Research Awards and maintains active collaborations across academia and industry. His group has produced numerous influential publications with students and collaborators, contributing significantly to both theoretical foundations and practical implementations in geometric data analysis. His textbook "Numerical Algorithms" demonstrates his commitment to education alongside research. As Principal Investigator of the Geometric Data Processing Group, Solomon leads a research team focused on developing mathematical foundations for analyzing and processing geometric data. The group maintains strong connections with both theoretical mathematics and practical applications, working at the intersection of computer graphics, machine learning, and computational geometry. Their work has significant implications for fields ranging from computer animation to medical imaging and scientific computing.

• Ergodic Theory
• Multifractal Analysis
• Dynamical Systems
• +۳ مورد دیگر

Meng Wu is a professor at the Department of Mathematical Sciences, University of Oulu, Finland. Previously, he held postdoctoral positions at the Einstein Institute of Mathematics, Hebrew University of Jerusalem (2017), and at the University of Oulu (2013-2016), followed by a University Researcher role there (2017-2018). His work bridges ergodic theory, dynamical systems, and fractal geometry. Research interests include multifractal analysis, self-similar sets, and geometric measure theory. Recent work explores Furstenberg-type slicing theorems, scaling limits of self-conformal measures, and projection theorems with applications to exact overlaps conjectures. His publications often employ ergodic theory and dynamical systems to analyze fractal dimensions and geometric properties of sets. Trends in his articles highlight connections between number theory, probability, and fractal geometry, focusing on Hausdorff and Assouad dimensions, oriented random walks, and renormalization techniques. Collaborations include A.H. Fan, J. Schmeling, L.M. Liao, and A. Algom.

• Theory of Computation
• Discrete Algorithms
• Theoretical Computer Science
• +۵ مورد دیگر

Michael Saks is a Distinguished Professor of Mathematics at Rutgers, The State University of New Jersey . He is affiliated with both the Department of Mathematics and the Computer Science Department as a graduate faculty member. His research focuses on theory of computation and discrete algorithms , with applications in computational complexity, combinatorics, and algorithmic analysis. His recent publications include work on edit distance approximations , randomized algorithms , discrepancy of random matrices , and Boolean function analysis , reflecting a strong emphasis on theoretical foundations. He has contributed to journals such as Combinatorica , Journal of Graph Theory , and Discrete Applied Mathematics , and served on editorial boards and conference program committees, including the 2014 IEEE Conference on Computational Complexity . Michael Saks maintains active research and teaching pages , including guidance for graduate applicants and links to seminars like the Discrete Mathematics/Theory of Computing Seminar . He also participates in initiatives such as the Center for Computational Intractability and DIMACS .

• Cancer Biology
• Epithelial-Mesenchymal Transition (EMT)
• Cancer Stem Cells
• +۴ مورد دیگر

Sendurai Mani is the Dean's Professor of Translational Oncology and Professor of Medicine at Brown University’s Warren Alpert Medical School. His research focuses on the epithelial-mesenchymal transition (EMT), cancer stem cells, and tumor metastasis. He has made groundbreaking contributions, including demonstrating that EMT generates cells with stem cell properties (Mani et al., Cell 2008), linking EMT to metastasis, and developing tools for targeting mesenchymal cancers. PhD, Indian Institute of Science (2000) MS, Madurai Kamaraj University (1993) BS, Madurai Kamaraj University (1991) Mani’s research interests center on molecular mechanisms of cancer progression, particularly how EMT enables metastasis, therapeutic resistance, and tumor cell plasticity. His lab investigates: EMT-driven cancer stem cell generation Immune-tumor cell interactions in metastasis Therapeutic strategies for hybrid EMT phenotypes Single-cell profiling of tumor heterogeneity Development of EMT/CSC biomarkers Novel approaches to target mesenchymal cancers His publications (115+ articles) reflect cutting-edge work in EMT, cancer stem cells, and tumor immunology. Recent studies include functional single-cell analysis of extracellular vesicles in breast cancer and pan-cancer EMT gene profiling (EMTome resource). Scientific awards and honors include: V-Scholar (2008-2011) MD Anderson Research Trust Fellow (2008-2014) American Cancer Society Research Scholar (2012-2015) AAAS Fellow (2020-present) Sigma Xi Full Member (2021-present) Mani serves as: Director, Translational Research Disease Groups at Brown Director, Stem Cell Center at Brown Co-leader of the Mani Lab at Brown University

• Printmaking
• 3D Printing
• Digital Art Technologies
• +۵ مورد دیگر

Stephen Hoskins is Professor of Fine Print and Founder of the Centre for Fine Print Research (CFPR) at the University of the West of England, Bristol, based at the Bower Ashton Campus within the College of Arts, Creative Industries and Education. His academic career spans decades of pioneering work bridging traditional printmaking techniques with cutting-edge digital technologies. Hoskins' research philosophy centers on the physical artifact, primarily predicated in print, with a focus on the relationship between technology and making from a practitioner perspective. His primary research areas include the potential of 3D printing and related digital technologies for the arts, and the tactile surface of printed artifacts and its consequences for digital technology. He has developed a unique position of understanding digital and new media technologies while always relating them to physical output and creativity. His publications reveal a consistent focus on the intersection of historical printmaking techniques with contemporary digital fabrication methods, particularly exploring the tactile qualities of printed surfaces, ceramic applications of 3D printing, and the sustainability of art-making practices. The research trajectory shows increasing sophistication in merging 19th century photomechanical processes with 21st century digital technologies. Hoskins has maintained an exceptional record of industry collaboration, working with major partners including Hewlett Packard (for whom he held a sponsored Professorial Chair from 2004 to 2014), Renishaw PLC, Burleigh Pottery, Denby Pottery, Dycem, and Viridis3D. His approach emphasizes interdisciplinary understanding and practical application of research findings. As a practicing printmaker and author of three books including '3D Printing for Artists, Designers and Makers' (Bloomsbury), 'Water based Screenprinting,' and 'Inks,' plus over 40 peer-reviewed papers and three patents, Hoskins has established himself as a leading authority in the field of fine print research and digital fabrication for artists.

• Proteomics
• Metabolomics
• Plant-Microbe Interactions
• +۳ مورد دیگر

Prof. Dr. Karsten Niehaus serves as Head of the Proteome and Metabolome Research Group at the Center for Biotechnology (CeBiTec) and Faculty of Biology, University of Bielefeld. His research focuses on proteomics and metabolomics applications in plant-microbe interactions, bacterial stress responses, and disease model systems. His laboratory employs advanced mass spectrometry imaging and cell phenotyping technologies to investigate molecular responses in crops like sugar beet and grapevines under abiotic stress conditions, as well as in cancer models where differentiation therapy impacts tumor malignancy. The group also explores microbial biotechnology through Xanthomonas campestris studies on xanthan production and stress adaptation. Selected publications highlight innovations in 3D microfluidics for biomarker detection and bioinformatics platforms like MetHoS for metabolomics data analysis. His work appears in journals covering Frontiers in Plant Science , Scientific Reports , and Journal of Experimental Botany . Contact: kniehaus@cebitec.uni-bielefeld.de | Office: UHG W7-117

Arinjay Banerjeeمشاهده پروفایل

استاد مدعو

• Virology
• Immunology
• Zoonotic Diseases
• +۵ مورد دیگر

Dr. Arinjay Banerjee is an Adjunct Professor in the Department of Biochemistry & Molecular Biology within the Faculty of Medicine at the University of Saskatchewan, and a Research Scientist and Principal Investigator at the Vaccine and Infectious Disease Organization (VIDO). He holds the Canada Research Chair in Zoonotic Virus and Animal Reservoirs and leads the Laboratory of Zoonotic Viruses and Comparative Immunology. His research focuses on three interconnected themes: Coronavirus-host interactions in wildlife reservoirs (especially bats) Viral pathogenesis in human spillover species Development of vaccines and therapeutics against emerging viruses Using interdisciplinary approaches including functional genomics, cell culture models, organoids, and comparative immunology, his work bridges virology, immunology, and disease ecology. Analysis of recent publications reveals consistent focus on: Molecular mechanisms of viral tolerance in bats SARS-CoV-2 and MERS-CoV pathogenesis Novel vaccine platforms Development of innovative models (e.g., bat cell lines, organ-on-chip systems) One Health approaches to emerging zoonoses Significant scientific recognitions include: King Charles III Coronation Medal (2025) Canadian Society for Virology Early Career Researcher Award (2024) Governor General’s Gold Medal for doctoral thesis (2019) NSERC Postdoctoral Fellowship (2019-2021) Michael G. DeGroote Fellowship (2018-2019) Dr. Banerjee leads an active research team comprising postdoctoral fellows, PhD candidates, and MSc students investigating viral pathogenesis and immunity. The laboratory participates in several scientific consortia including the Canadian Pandemic Preparedness Hub and Global One Health Academy.

Roy E. Welschمشاهده پروفایل

استاد

• Statistics
• Data Science
• Statistical Learning
• +۱۰ مورد دیگر

Dr. Roy E. Welsch is the Eastman Kodak Leaders for Global Operations Professor of Management and a Professor of Statistics and Data Science at the MIT Sloan School of Management and the MIT Center for Statistics and Data Science . He currently serves as Director of the MIT Center for Computational Research in Economics and Management Science . Education : AB in Mathematics from Princeton University (1969), MS and PhD in Mathematics from Stanford University Dr. Welsch's research spans advanced statistical methodologies and their interdisciplinary applications. His work focuses on: Robust statistical methods for regression and covariance modeling Applications in financial markets, biomedical imaging, and drug repurposing Machine learning algorithms for high-dimensional data analysis Statistical computing and computational finance Uncertainty quantification in experimental design His recent publications emphasize cross-domain applications of machine learning, particularly in financial forecasting, biomedical diagnostics, and network behavior modeling. Notable trends include: Development of robust statistical frameworks Integration of NLP techniques in financial analysis Biomedical image processing algorithms for disease quantification Time-series and high-content analysis Portfolio optimization under uncertainty Scientific Recognition : Fellow of the Institute of Mathematical Statistics Fellow of the American Statistical Association Fellow of the American Association for the Advancement of Science Eastman Kodak Leaders for Global Operations Professorship As a dedicated educator, Dr. Welsch teaches Data Analysis and Applied Statistics courses focusing on regression modeling, experimental design, and quality control with applications in finance and marketing.

Leung Tsangمشاهده پروفایل

استاد

• Remote Sensing
• Electromagnetic Scattering
• Wave Propagation in Random Media
• +۶ مورد دیگر

Leung Tsang is a Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, holding the Robert J. Hiller Professorship of Engineering. He received his SB, SM, EE, and Ph.D. from MIT. His academic career includes positions at Texas A&M University (1980-1983), University of Washington (1983-2014) as Professor and Department Chair (2006-2011), and a visiting Professorship at City University of Hong Kong (2001-2004). He has served as Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing and President of the Electromagnetics Academy and IEEE Geoscience and Remote Sensing Society. His research focuses on microwave remote sensing , multiple scattering theory , electromagnetic wave propagation in random media , photonic crystals , and signal integrity . His work spans theoretical advancements (e.g., radiative transfer theory, UV multi-level methods) and practical applications (e.g., snow parameter retrieval, ocean foam modeling, via coupling analysis). Key trends include Development of computational techniques for large-scale scattering problems Integration of neural networks for inversion in remote sensing Investigation of backscattering enhancement and polarimetric signatures Notable awards include Fellow of IEEE and Optical Society of America William T Pecora Award (2012) Van De Hulst Light Scattering Award (2018) Membership in the National Academy of Engineering (2020) His group utilizes high-performance computing resources, including the Flux HPC cluster at the University of Michigan and XSEDE allocations, with specialized nodes for electromagnetic modeling. Current students include Ruoxing Gao (electromagnetic theory), Firoz Borah (snow remote sensing), Jongwoo Jeong (forest scattering), and Zhenming Huang (snow modeling).

• Mathematical Biology
• Cell Mechanics
• Cytoskeleton Dynamics
• +۴ مورد دیگر

Angelika Manhart is an Assistant Professor in the Department of Mathematics at the University of Vienna's Faculty of Mathematics. With 26 publications spanning from 2014 to 2025, she has established herself as a leading researcher at the intersection of mathematical modeling and biological processes. Her work bridges rigorous mathematical analysis with biological insight to address fundamental questions in cellular mechanics and dynamics. Dr. Manhart's research focuses on mathematical biology, particularly the mechanics of cellular processes including cell movement, cytoskeletal dynamics, and tissue morphogenesis. She specializes in developing computational frameworks that capture the intricate interplay between physical forces and biological functions at the cellular level. Her work explores how mathematical models can elucidate complex phenomena such as actin network dynamics, nuclear positioning in muscle cells, and epithelial tissue formation. She employs techniques from partial differential equations, dynamical systems theory, and computational mathematics to address biological questions across multiple scales. Her publication record reveals a consistent trajectory of increasingly sophisticated modeling approaches, with recent work incorporating machine learning techniques and multiscale modeling. The research spans diverse biological contexts including wound healing, muscle development, microbial communities, and epithelial morphogenesis, demonstrating the versatility of mathematical approaches in biological inquiry. Several of her papers have received significant citations, with 'Nuclear Scaling Is Coordinated among Individual Nuclei in Multinucleated Muscle Fibers' (2019) accumulating 49 citations and 'Intracellular Fluid Mechanics: Coupling Cytoplasmic Flow with Active Cytoskeletal Gel' (2018) receiving 83 citations. Dr. Manhart actively collaborates with experimental biologists across institutions, as evidenced by her co-authorship with researchers from various biological disciplines. Her work has been presented at conferences including talks on 'Alignment processes in cells - From individual interactions to collectivity' (December 2024) and earlier presentations on 'Model and Simulation of Actin-dependent Cell Movement' (2014), reflecting her continued engagement with both theoretical and applied aspects of her field.

• Mathematics
• Operator Theory
• Complex Analysis
• +۵ مورد دیگر

Christer Glader is a Lecturer at the Department of Mathematics, Faculty of Science and Engineering, Åbo Akademi University. His research focuses on advanced mathematical problems in complex analysis, operator theory, and numerical analysis. Research Interests: Glader's work spans operator theory, complex analysis, and numerical methods, with a particular emphasis on Crouzeix's Conjecture, Blaschke products, and Riemann-Hilbert problems. His studies often bridge theoretical and applied mathematics, including 2D elasticity and pseudodifferential operators. Publication Trends: Glader's publications since the 1980s reflect a consistent focus on complex analysis and numerical methods, evolving toward matrix analysis and applied mathematics in recent works. Key topics include Blaschke products, Crouzeix's Conjecture, and Riemann-Hilbert problems. Contact: Email: christer.glader@abo.fi

Juan Valle Delgadoمشاهده پروفایل

مدرس

• Nanotechnology
• Biomaterials
• Surface Chemistry
• +۷ مورد دیگر

Juan Valle Delgado is a Lecturer in the Department of Bioproducts and Biosystems at Aalto University, where he focuses on nanotechnology, biomaterials, and interfacial science. His research explores sustainable materials derived from biopolymers like cellulose and lignin, with applications in biomedicine, green chemistry, and advanced composites. Research Interests: Dr. Delgado's work spans atomic force microscopy, nanocellulose functionalization, colloidal systems, and surface chemistry. Key themes include: Design of lignin nanoparticles for drug delivery and 3D bioprinting Cellulose nanofibril hydrogels for biomedical applications Interfacial interactions in bio-based composites Surface modification techniques for sustainable materials His recent publications (2019–2023) demonstrate a strong emphasis on biomaterial interfaces , with recurring studies on cellulose-lignin systems, nanoparticle synthesis, and cell-biomaterial interactions. Collaborative projects frequently involve tissue engineering, cancer research, and green nanotechnology. Dr. Delgado collaborates extensively with the Bioproduct Chemistry research group, focusing on interdisciplinary approaches to develop functional materials from renewable resources.