Utilizing Biomimicry To Design Sustainable Architecture,
2024
University of Arkansas, Fayetteville
Utilizing Biomimicry To Design Sustainable Architecture, Virginia Hammond
Architecture Undergraduate Honors Theses
Nature has an integral relationship with architecture and serves as a sustainable role model and inspiration for designers. The process of biomimicry in architecture has the potential to produce more sustainable design solutions and foster a connection between humans and nature. Existing biomimetic design projects have varying strengths and weaknesses as examples of the process. Utilizing guidelines and references from key leaders in biomimetic design consultancy (Biomimicry 3.8), selected case studies are assessed for their ability to demonstrate the benefits of this design strategy. Using these evaluations, the case studies are diagrammed and critiqued to determine how new projects could …
Overlapping Extractive Land Use Rights Increases Deforestation And Forest Degradation In Managed Natural Production Forests,
2024
Denison University
Overlapping Extractive Land Use Rights Increases Deforestation And Forest Degradation In Managed Natural Production Forests, Bingcai Liu, Anand Roopsind, Brent Sohngen
Biology Faculty Publications and Presentations
Guyana manages an estimated 5.3 million hectares of old-growth tropical forests, 29% of its total forest area, for timber extraction. Individuals and companies can apply for time-limited leases that allocate access, management, and extraction rights for timber through a concession system. In many tropical regions, including Guyana, a lack of integrated land use planning often leads to overlapping extractive and forest use rights for logging and mining. Overlapping land rights in turn create uncertainty and limit investments toward sustainable forest management, affecting deforestation and forest degradation rates. In this study, we use matched fixed-effect and difference-in-differences panel data models to …
Targeting Strategies To Optimize The Therapeutic Potential Of Gold Compounds Against Her2-Positive Breast Cancers,
2024
The Graduate Center, City University of New York
Targeting Strategies To Optimize The Therapeutic Potential Of Gold Compounds Against Her2-Positive Breast Cancers, Afruja Ahad
Dissertations, Theses, and Capstone Projects
The overexpression of HER2 accounts for 20-30% of breast cancer tumors and not only serves as a marker for poor predictive clinical outcomes but also as a target for treatment. Antibody-drug conjugates (ADCs) combine the selectivity of monoclonal antibodies (mAbs) with the efficacy of chemotherapeutic drugs to provide targeted treatment without toxicity to normal tissue. Most of the ADCs currently in the clinic for cancer chemotherapy are based on complex organic molecules. In contrast, the conjugation of metallodrugs to mAbs has been overlooked when there is enormous potential in this area with the resurgence of metal-based drugs as prospective cancer …
Methamphetamine-Induced Dna Double-Stranded Breaks: The Impact Of The Dopamine Transporter And Insights Into The Mechanisms Of Dna Damage In Mouse Neuro 2a Cells,
2024
The Graduate Center, City University of New York
Methamphetamine-Induced Dna Double-Stranded Breaks: The Impact Of The Dopamine Transporter And Insights Into The Mechanisms Of Dna Damage In Mouse Neuro 2a Cells, Lizette Couto
Dissertations, Theses, and Capstone Projects
Methamphetamine (METH) abuse remains a global health concern, with emerging evidence highlighting its genotoxic potential. In the central nervous system METH enters dopaminergic cells primarily through the dopamine transporter (DAT), which controls the dynamics of dopamine (DA) neurotransmission by driving the reuptake of extracellular DA into the presynaptic neuronal cell. Additional effects of METH on the storage of DA in synaptic vesicles lead to the dysregulated cytosolic accumulation of DA. Previous studies have shown that after METH disrupts intracellular vesicular stores of DA, the excess DA in the cytosol is rapidly oxidized. This generates an abundance of reactive oxygen species …
Genome-Wide Profiling Of Novel Conserved Zea Mays Micrornas Along With Their Key Biological, Molecular And Cellular Targets And Validation Using An Rt-Pcr Platform,
2024
Colleges, Higher and Technical Education Department, Balochistan, Quetta-Pakistan
Genome-Wide Profiling Of Novel Conserved Zea Mays Micrornas Along With Their Key Biological, Molecular And Cellular Targets And Validation Using An Rt-Pcr Platform, Abdul Baqi, Samiullah Samiullah, Muhammad Ayub, Muhammad Zafar Saleem, Ghulam Mustafa Khan, Asad Ullah
Karbala International Journal of Modern Science
MicroRNAs (miRNAs), which are typically non-coding RNAs that start off as endogenous molecules and regulate post-transcriptional levels of gene expression by mRNA degradation or translational repression. They are 18–26 nucleotides long, evolutionarily conserved and essential for predicting novel miRNAs in a variety of plants. Maize (Zea mays) is a significant food and forage crop in the globe today. In the present study, many maize miRNAs have been found to be associated with both plant development and responses to stress. In this study, 66 unique conserved maize miRNAs from 65 different miRNA families were predicted using several genomics-based methods …
The Role Of Cu (0-0.03) And Zn (0.02) Substitution On The Structural, Optical And Magnetic Properties Of Mgo Nanoparticles,
2024
Department of Physics, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan,
The Role Of Cu (0-0.03) And Zn (0.02) Substitution On The Structural, Optical And Magnetic Properties Of Mgo Nanoparticles, S. Naseem Shah, Atif Dawar, Yasmeen Bibi, Abid Ali, M. Asif Siddiqui
Karbala International Journal of Modern Science
The co-precipitation method was employed to prepared Cu (0-0.03) and Zn (0.02) dual doped MgO nanoparticles. The secondary phases of CuO and Cu2O were observed along with the cubical phase of MgO. The doping induced effect was noticed for the crystallite size variations (14.39-19.89 nm). The morphological transformation from spherical to rice-like shape were observed. The estimated values of optical bandgap (4.66-4.45 eV) were well correlated with the crystallite size and dopant concentrations. The ferromagnetic ordering was observed at room temperature and the enchantment in the coercivity (142.27 Oe) with Zn (0.02) doping was noticed. Such type of …
Attitudes Of South-Central Kentucky Residents Towards Coyotes And Their Management,
2024
Eastern Kentucky University
Attitudes Of South-Central Kentucky Residents Towards Coyotes And Their Management, Andrew T. Mcqueen, Stephen Sumithran Phd
Posters-at-the-Capitol
The existence of the coyote in the eastern U.S. is a recent development and the public’s perception of coyotes has been widely studied in urban areas. However, perceptions in rural areas, especially rural Appalachia, have been largely unstudied. It is necessary for wildlife managers to understand the public’s perceptions of coyotes and coyote management when creating management plans. We conducted a public survey in South-central Kentucky to determine perceptions toward coyotes and coyote management methods. The survey contained questions about demographics (age, gender, county of residence, landownership, etc.), perceptions (fears, opinions), knowledge (true/false questions), and preferred management practices (hunting, trapping, …
Treatment Of Oil Refinery Wastewater Polluted By Heavy Metal Ions Via Adsorption Technique Using Non-Valuable Media: Cadmium Ions And Buckthorn Leaves As A Study Case,
2024
Department of Petroleum Engineering, College of Engineering, Kerbala University, Kerbala, Iraq
Treatment Of Oil Refinery Wastewater Polluted By Heavy Metal Ions Via Adsorption Technique Using Non-Valuable Media: Cadmium Ions And Buckthorn Leaves As A Study Case, Salem Jawad Alhamd, Mohammed Nsaif Abbas, Mehrdad Manteghian, Thekra Atta Ibrahim, Karar Dawood Salman Jarmondi
Karbala International Journal of Modern Science
This study focuses on the removal of cadmium ions generated by oil refinery wastewater, employing an agricultural by-product. Buckthorn leaves, sourced from Baghdad and Diyala provinces, underwent preparation, including washing, drying, crushing, and sieving before being utilized in experiments. Batch experiments were conducted using simulated solutions to assess the impact of six key adsorption design parameters: pH, cadmium concentration, agitation speed, contact time, adsorbent dosage, and temperature. The highest adsorption efficiency, reaching 94.4367%, was directly correlated with contact time, adsorbent dosage, pH value, and agitation speed, and inversely related to other variables. Morphological studies on the treated adsorbent, indicated structural …
Avian Extraembryonic Membranes Respond To Yolk Corticosterone Early In Development,
2024
Illinois State University
Avian Extraembryonic Membranes Respond To Yolk Corticosterone Early In Development, Emily P. Harders, Mitch Agustin, Ryan T. Paitz
Faculty Publications – Biological Sciences
During times of maternal stress, developing embryos can be exposed to elevated levels of glucocorticoids which can affect development and permanently alter offspring phenotype. In placental species, the placenta mediates fetal exposure to maternal glucocorticoids via metabolism, yet the placenta itself responds to glucocorticoids to regulate offspring growth and development. In oviparous species, maternal glucocorticoids can be deposited into the egg yolk and are metabolized early in development. This metabolism is mediated by the extraembryonic membranes, but it is unknown if the extraembryonic membranes also respond to maternal glucocorticoids in a way comparable to the placenta. In this study, we …
9s1r Nullomer Peptide Induces Mitochondrial Pathology, Metabolic Suppression, And Enhanced Immune Cell Infiltration, In Triple-Negative Breast Cancer Mouse Model,
2024
Boise State University
9s1r Nullomer Peptide Induces Mitochondrial Pathology, Metabolic Suppression, And Enhanced Immune Cell Infiltration, In Triple-Negative Breast Cancer Mouse Model, Nilufar Ali, Cody Wolf, Swarna Kanchan, Shivakumar R. Veerabhadraiah, Laura Bond, Matthew W. Turner, Cheryl L. Jorcyk, Greg Hampikian
Biology Faculty Publications and Presentations
Nullomers are the shortest strings of absent amino acid (aa) sequences in a species or group of species. Primes are those nullomers that have not been detected in the genome of any species. 9S1R is a 5-aa peptide prime sequence attached to 5-arginine aa, used to treat triple negative breast cancer (TNBC) in an in vivo mouse model. This unique peptide, administered with a trehalose carrier (9S1R-NulloPT), offers enhanced solubility and exhibits distinct anti-cancer effects against TNBC. In our study, we investigated the effect of 9S1R-NulloPT on tumor growth, metabolism, metastatic burden, tumor immune-microenvironment (TME), and transcriptome of aggressive mouse …
A Genus In The Bacterial Phylum Aquificota Appears To Be Endemic To Aotearoa-New Zealand,
2024
University of Waikato, New Zealand
A Genus In The Bacterial Phylum Aquificota Appears To Be Endemic To Aotearoa-New Zealand, Jean F. Power, Carlo R. Carere, Holly E. Welford, Daniel T. Hudson, Kevin C. Lee, John W. Moreau, Anna-Louise Reysenbach, Thijs J.G. Ettema, Multiple Additional Authors
Biology Faculty Publications and Presentations
Allopatric speciation has been difficult to examine among microorganisms, with prior reports of endemism restricted to sub-genus level taxa. Previous microbial community analysis via 16S rRNA gene sequencing of 925 geothermal springs from the Taupō Volcanic Zone (TVZ), Aotearoa-New Zealand, revealed widespread distribution and abundance of a single bacterial genus across 686 of these ecosystems (pH 1.2-9.6 and 17.4-99.8 °C). Here, we present evidence to suggest that this genus, Venenivibrio (phylum Aquificota), is endemic to Aotearoa-New Zealand. A specific environmental niche that increases habitat isolation was identified, with maximal read abundance of Venenivibrio occurring at pH 4-6, 50-70 °C, and …
Applied Soft Classes And Fuzzy Confusion In A Patchwork Semi-Arid Ecosystem: Stitching Together Classification Techniques To Preserve Ecologically-Meaningful Information,
2024
Boise State University
Applied Soft Classes And Fuzzy Confusion In A Patchwork Semi-Arid Ecosystem: Stitching Together Classification Techniques To Preserve Ecologically-Meaningful Information, Josh Enterkine, T. Trevor Caughlin, Hamid Dashti, Nancy F. Glenn
Biology Faculty Publications and Presentations
Dryland ecosystems have complex vegetation communities, including subtle transitions between communities and heterogeneous coverage of key functional groups. This complexity challenges the capacity of remote sensing to represent land cover in a meaningful way. Many remote sensing methods to map vegetation in drylands simplify fractional cover into a small number of functional groups that may overlook key ecological communities. Here, we investigate a remote sensing process that further advances our understanding of the link between remote sensing and ecologic community types in drylands. We propose a method using k-means clustering to establish soft classes of vegetation cover communities from detailed …
Leveraging High Resolution Classifications And Random Forests For Hindcasting Decades Of Mesic Ecosystem Dynamics In The Landsat Time Series,
2024
Boise State University
Leveraging High Resolution Classifications And Random Forests For Hindcasting Decades Of Mesic Ecosystem Dynamics In The Landsat Time Series, N. E. Kolarik, N. Shrestha, T. Caughlin, J. S. Brandt
Biology Faculty Publications and Presentations
Mesic ecosystems are fundamental to conservation efforts in semi-arid systems, but are threatened by climate change and development. Newer earth observation datasets, including Sentinel-1 and −2, provide opportunities to monitor mesic ecosystems at meaningful spatial scales, but are insufficient for measuring decadal-scale changes. Conversely, the Landsat time series has decades of data, but images are spatially coarse relative to many of the mesic ecosystem areas that sustain dryland systems, resulting in classifications with mixed pixels inadequate for effective monitoring. We developed a workflow that uses 10-m classifications produced from fusion of the Sentinel-1 and −2 time series (2017–2020) to estimate …
Female Biology,
2024
The University of San Francisco
Female Biology, Jennifer Dever
All USF Faculty Authored Books
Over twenty years ago I developed a course for the upper- level biology major at the University of San Francisco called
Female Biology. This was from what I perceived as a gap in the undergraduate biology curriculum- students were not learning about the evolutionary aspects of being female and studying the specific health-related issues unique to women. The information in the most widely used general biology textbooks written from a male perspective, focuses on research gained from male models by work conducted in male-led laboratories. There still exists a problem with a lack of adequate representation of women in biomedical …
Konsep Diagnosis Dan Penatalaksanaan Fraktur Osteoporosis Terkini,
2023
Udayana University
Konsep Diagnosis Dan Penatalaksanaan Fraktur Osteoporosis Terkini, I Gusti Ngurah Wien Aryana, Febyan Febyan
Jurnal Penyakit Dalam Indonesia
Osteoporosis is a metabolic bone disease that is caused by a decreased amount of bone mass, and microarchitectural damage to bone tissue that affects the bone to break easily. Osteoporosis can be divided into primary and secondary etiologies. Vertebral, hip, distal radius, and proximal humerus are the most common predilection of fracture complication due to osteoporosis. The diagnosis of osteoporotic fractures is established based on the identification of risk factors, general clinical manifestations, specific manifestation from each fracture predilection, and advanced examinations, including radiology imaging and dual-energy x-ray absorptiometry. The purpose of osteoporotic fractures management in elderly is a stable …
Optimization Of The Bio-Synthesis Of Magnesium Nanoparticles From Staphylococcus Haemolyticus: A Pilot Study,
2023
Department of Biiological Sciences, Faculty of Science, Beirut Arab University, Debbyeh, Lebanon
Optimization Of The Bio-Synthesis Of Magnesium Nanoparticles From Staphylococcus Haemolyticus: A Pilot Study, Mariam Bassam, Malak Mezher, Mahmoud Khalil
BAU Journal - Science and Technology
Nanotechnology is developing rapidly. This field has many influences in humans’ life. Nanoparticles (NPs) have many unique properties including the size, shape, morphology, and surface area. The synthesis of NPs could be achieved by three ways: physical, chemical, and biological. However, the biological synthesis of NPs has a priority on the other domains due to its safety and environmental friendship. In this regard, the main objective of this study was to synthesize magnesium (Mg) NPs from the bacterium S. haemolyticus which was isolated from the Lebanese wastewater. Different parameters were applied to detect the best conditions to produce the highest …
Reducing Food Scarcity: The Benefits Of Urban Farming,
2023
Brigham Young University
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
Deep Learning In Bioinformatics,
2023
TÜBİTAK
Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer
Turkish Journal of Biology
Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …
Physicochemical Differences Between Camelid Single-Domain Antibodies And Mammalian Antibodies,
2023
Art&Science Faculty
Physicochemical Differences Between Camelid Single-Domain Antibodies And Mammalian Antibodies, Nazli Eda Eski̇er, Doğa Eski̇er, Esi̇n Fi̇ruzan, Si̇bel Kalyoncu
Turkish Journal of Biology
Background/aim: In recent years, single-domain antibodies, also known as nanobodies, have emerged as an alternative to full immunoglobulin Gs (IgGs), due to their various advantages including increased solubility, faster clearance, and cheaper production. Nanobodies are generally derived from the variable domain of the camelid heavy-chain-only immunoglobulin Gs (hcIgGs). Due to the high sequence homology between variable heavy chains of camelids (VHHs) and humans (VHs), hcIgGs are ideal candidates for nanobody development. However, further examination is needed to understand the structural differences between VHs and VHHs. This analysis is essential for nanobody engineering to mitigate potential immunogenicity while preserving stability, functionality, …
Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vector
Machines Supported By Disease Ontology,
2023
TÜBİTAK
Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vector Machines Supported By Disease Ontology, Mustafa Erhan Özer, Pemra Özbek Sarica, Kazim Yalçin Arğa
Turkish Journal of Biology
Background/aim: The complicated nature of tumor formation makes it difficult to identify discriminatory genes. Recently, transcriptome-based supervised classification methods using support vector machines (SVMs) have become popular in this field. However, the inclusion of less significant variables in the construction of classification models can lead to misclassification. To improve model performance, feature selection methods such as enrichment analysis can be used to extract useful variable sets. The detection of genes that can discriminate between normal and tumor samples in the association of cancer and disease remains an area of limited information. We therefore aimed to discover novel and practical sets …
