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Predicting Consistent Foraging Ecologies Of Migrating Waterbirds: Using Stable Isotope And Parasite Measurements As Indicators Of Landscape Use, Kate L. Sheehan, Brian S. Dorr, Stephen A. Clements, Terrel W. Christie, Katie Hanson-Dorr, Scott A. Rush, J. Brian Davis Jan 2022

Predicting Consistent Foraging Ecologies Of Migrating Waterbirds: Using Stable Isotope And Parasite Measurements As Indicators Of Landscape Use, Kate L. Sheehan, Brian S. Dorr, Stephen A. Clements, Terrel W. Christie, Katie Hanson-Dorr, Scott A. Rush, J. Brian Davis

United States Department of Agriculture Wildlife Services: Staff Publications

The emergence of novel human pathogens is frequently linked with zoonotic events and human-wildlife interactions that promote disease transmission. Consequently, surveillance of wildlife populations for candidate diseases that could spread to humans is beneficial, but requires widespread collections of numerous samples. A legitimate means to acquire large sample sizes of waterfowl is through cooperation between researchers and hunters, who also work in concert with natural resource managers, landowners, and agricultural entities -e.g., aquaculture facilities. In addition to understanding the occurrence and spread of parasites and pathogens by birds, these samples can be used to answer questions about the ecology of …


Summer Habitat Use And Movements Of Invasive Wild Pigs (Sus Scrofa) In Canadian Agro-Ecosystems, Corey J. Kramer, Melanie R. Boudreau, Ryan S. Miller, Ryan Powers, Kurt C. Vercauteren, Ryan K. Brook Jan 2022

Summer Habitat Use And Movements Of Invasive Wild Pigs (Sus Scrofa) In Canadian Agro-Ecosystems, Corey J. Kramer, Melanie R. Boudreau, Ryan S. Miller, Ryan Powers, Kurt C. Vercauteren, Ryan K. Brook

United States Department of Agriculture Wildlife Services: Staff Publications

Resource selection informs understanding of a species’ ecology and is especially pertinent for invasive species. Since introduced to Canada, wild pigs (Sus scrofa Linnaeus, 1978) remain understudied despite recognized negative impacts on native and agricultural systems globally. Elsewhere in North America, pigs typically use forests and forage in agricultural crops. We hypothesized Canadian wild pigs would behave similarly, and using GPS locations from 15 individuals, we examined diel and seasonal resource selection and movement in the Canadian prairie region. Forests were predominately selected during the day, while corn (Zea mays L.), oilseeds, and wheat (Triticum aestivum L.) …


Ontario’S Double-Crested Cormorant Hunting Season May Be Ineffective But That Doesn’T Mean There Are No Conflict Issues, Brian S. Dorr, David G. Fielder, James R. Jackson, James F. Farquhar, Douglas W. Schultz, Randall M. Claramunt Jan 2022

Ontario’S Double-Crested Cormorant Hunting Season May Be Ineffective But That Doesn’T Mean There Are No Conflict Issues, Brian S. Dorr, David G. Fielder, James R. Jackson, James F. Farquhar, Douglas W. Schultz, Randall M. Claramunt

United States Department of Agriculture Wildlife Services: Staff Publications

No abstract provided.


Managing Roof Rats In Citrus Orchards: Initial Efforts Toward Building An Integrated Pest Management Program, Roger A. Baldwin, Justine A. Smith, Ryan Meinerz, Aaron B. Shiels Jan 2022

Managing Roof Rats In Citrus Orchards: Initial Efforts Toward Building An Integrated Pest Management Program, Roger A. Baldwin, Justine A. Smith, Ryan Meinerz, Aaron B. Shiels

United States Department of Agriculture Wildlife Services: Staff Publications

Roof rats cause extensive damage in orchards throughout the world. Integrated Pest Management (IPM) systems are the best option for managing rodents, yet few management systems have been developed and tested to control roof rats in agricultural settings. We initiated a study in 2020 to provide the foundation for an IPM program to manage roof rats in California citrus orchards. Our initial efforts centered on developing effective monitoring strategies for roof rats to determine when management actions are needed, assessing rat movement patterns to determine proper placement of management tools, and conducting initial tests of Goodnature A24 self-resetting traps and …


Development Of A Novel Vertebrate Pesticide For The Invasive Small Indian Mongoose, Carmen Antaky, Steven C. Hess, Israel Leinbach, Robert T. T. Sugihara, Emily W. Ruell, Shane Siers Jan 2022

Development Of A Novel Vertebrate Pesticide For The Invasive Small Indian Mongoose, Carmen Antaky, Steven C. Hess, Israel Leinbach, Robert T. T. Sugihara, Emily W. Ruell, Shane Siers

United States Department of Agriculture Wildlife Services: Staff Publications

Small Indian mongooses are detrimental introduced predators in the United States, where they depredate native species, serve as vector of disease, and threaten public safety. Due to the risk of accidental introduction to mongoose-free islands, high cost and limitations to trapping, and no national (Section 3) Environmental Protection Agency (EPA)-registered toxicants for mongoose control, there is a need for an efficacious toxic bait for mongooses for use in conservation areas and at points of entry in the United States. Over the last five years, the National Wildlife Research Center (NWRC) worked to develop a toxic bait for mongooses for registration …


Abert’S Squirrel Management In Support Of Endangered Mount Graham Red Squirrel Recovery In Arizona, Aaron R. Morehead, Christopher Carillo, Holly Hicks, Wade Sanders, David L. Bergman Jan 2022

Abert’S Squirrel Management In Support Of Endangered Mount Graham Red Squirrel Recovery In Arizona, Aaron R. Morehead, Christopher Carillo, Holly Hicks, Wade Sanders, David L. Bergman

United States Department of Agriculture Wildlife Services: Staff Publications

Recovery of the endangered Mount Graham red squirrel (MGRS) will likely be long and challenging. Its limited habitat, isolation to Pinaleño Mountain range, and demographic characteristics restrict its ability to rebound quickly from threats that impact both the squirrel and its habitat. Currently, threats to the MGRS include habitat degradation and loss through high-severity wildfire, fire suppression activities, insect outbreaks, climate change, and human development, and predation, as well as competition with Abert’s squirrels. The most recent wildfire in 2017 impacted over 48,000 acres of already reduced habitat. A critical first step is to protect and manage the remaining population …


Migratory Movements And Home Ranges Of Geographically Distinct Wintering Populations Of A Soaring Bird, Ryo Ogawa, J. Brian Davis, D. Tommy King, L. Wes Burger, Bronson K. Strickland, Marsha A. Sovada, Guiming Wang, Fred L. Cunningham Jan 2022

Migratory Movements And Home Ranges Of Geographically Distinct Wintering Populations Of A Soaring Bird, Ryo Ogawa, J. Brian Davis, D. Tommy King, L. Wes Burger, Bronson K. Strickland, Marsha A. Sovada, Guiming Wang, Fred L. Cunningham

United States Department of Agriculture Wildlife Services: Staff Publications

Migratory soaring birds exhibit spatiotemporal variation in their circannual movements. Nevertheless, it remains uncertain how different winter environments affect the circannual movement patterns of migratory soaring birds. Here, we investigated annual movement strategies of American white pelicans Pelecanus erythrorhynchos (hereafter, pelican) from two geographically distinct wintering grounds in the Southern and Northern Gulf of Mexico (GOM).We hypothesized that hourly movement distance and home range size of a soaring bird would differ between different geographic regions because of different thermals and wind conditions and resource availability. We calculated average and maximum hourly movement distances and seasonal home ranges of GPS-tracking pelicans. …


Invasive Rodent Responses To Experimental And Natural Hurricanes With Implications For Global Climate Change, Aaron B. Shiels, Gabriela E. Ramírez De Arellano, Laura Shiels Jan 2022

Invasive Rodent Responses To Experimental And Natural Hurricanes With Implications For Global Climate Change, Aaron B. Shiels, Gabriela E. Ramírez De Arellano, Laura Shiels

United States Department of Agriculture Wildlife Services: Staff Publications

Hurricanes cause dramatic changes to forests by opening the canopy and depositing debris onto the forest floor. How invasive rodent populations respond to hurricanes is not well understood, but shifts in rodent abundance and foraging may result from scarce fruit and seed resources that follow hurricanes. We conducted studies in a wet tropical forest in Puerto Rico to better understand how experimental (canopy trimming experiment) and natural (Hurricane Maria) hurricane effects alter populations of invasive rodents (Rattus rattus [rats] and Mus musculus [mice]) and their foraging behaviors. To monitor rodent populations, we used tracking tunnels (inked and baited cards …


Improving Efficiency Of Prairie Dog Surveys By Using A Small Copter Drone, Aaron B. Shiels, J. W. Fischer, Danika Spock, Meagan Allira Jan 2022

Improving Efficiency Of Prairie Dog Surveys By Using A Small Copter Drone, Aaron B. Shiels, J. W. Fischer, Danika Spock, Meagan Allira

United States Department of Agriculture Wildlife Services: Staff Publications

Prairie dogs are an accessible and enjoyed wildlife species in Colorado that require occasional surveys because populations can change abruptly due to plague outbreaks or human-induced control. We evaluated the use of small copter drones at four prairie dog colonies on Open Space and Mountain Parks lands, City of Boulder, to determine if this methodology improves efficiency over ground-based survey methods. We counted prairie dogs and burrows using two types of drones (DJI Matric 210 and Autel Evo II) at altitudes 100', 150', and 400' (burrows only). We recorded video and merged still images into orthomosaics prior to having USDA …


Susceptibility Of Wild Canids To Sars-Cov-2, Stephanie M. Porter, Aim E. Hartwig, Helle Bielefeldt-Ohmann, Angela M. Bosco-Lauth, J. Jeffrey Root Jan 2022

Susceptibility Of Wild Canids To Sars-Cov-2, Stephanie M. Porter, Aim E. Hartwig, Helle Bielefeldt-Ohmann, Angela M. Bosco-Lauth, J. Jeffrey Root

United States Department of Agriculture Wildlife Services: Staff Publications

We assessed 2 wild canid species, red foxes (Vulpes vulpes) and coyotes (Canis latrans), for susceptibility to SARS-CoV-2. After experimental inoculation, red foxes became infected and shed infectious virus. Conversely, experimentally challenged coyotes did not become infected; therefore, coyotes are unlikely to be competent hosts for SARS-CoV-2.

Throughout the COVID-19 pandemic, multiple instances of natural infections with SARS-CoV-2 have been reported in pet dogs, likely after exposure to an infected human (1–3). Domestic dogs appear to be minimally susceptible to SARS-CoV-2, as indicated by experimental inoculations resulting in reverse transcription PCR–positive samples and low titer antibody responses but no clinical …


Exploring The Value Of A Global Gene Drive Project Registry, Riley I. Taitingfong, Antoinette J. Piaggio, Cinnamon S. Bloss, Et Al. Jan 2022

Exploring The Value Of A Global Gene Drive Project Registry, Riley I. Taitingfong, Antoinette J. Piaggio, Cinnamon S. Bloss, Et Al.

United States Department of Agriculture Wildlife Services: Staff Publications

Recent calls to establish a global project registry before releasing any gene-drive-modified organisms (GDOs) have suggested a registry could be valuable to coordinate research, collect data to monitor and evaluate potential ecological impacts, and facilitate transparent communication with community stakeholders and the general public. Here, we report the results of a multidisciplinary expert workshop on GDO registries convened on 8–9 December 2020 involving 70 participants from 14 countries. Participants had expertise in gene drive design, conservation and population modeling, social science, stakeholder engagement, governance and regulation, international policy, and vector control; they represented 45 organizations, spanning national and local governmental …


Application Of Artificial Intelligence And Machine Learning For Hiv Prevention Interventions, Yang Xiang, Jingcheng Du, Kayo Fujimoto, Fang Li, John Schneider, Cui Tao Jan 2022

Application Of Artificial Intelligence And Machine Learning For Hiv Prevention Interventions, Yang Xiang, Jingcheng Du, Kayo Fujimoto, Fang Li, John Schneider, Cui Tao

Faculty, Staff and Student Publications

In 2019, the US Government announced its goal to end the HIV epidemic within 10 years, mirroring the initiatives set forth by UNAIDS. Public health prevention interventions are a crucial part of this ambitious goal. However, numerous challenges to this goal exist, including improving HIV awareness, increasing early HIV infection detection, ensuring rapid treatment, optimising resource distribution, and providing efficient prevention services for vulnerable populations. Artificial intelligence has had a pivotal role in revolutionising health care and has shown great potential in developing effective HIV prevention intervention strategies. Although artificial intelligence has been used in a few HIV prevention intervention …


Voices Of The Often Unheard: The Environmental Impacts Of Catastrophic Wildfire Events On Individuals With Developmental Disabilities, Mary Madison Mckenzie Jan 2022

Voices Of The Often Unheard: The Environmental Impacts Of Catastrophic Wildfire Events On Individuals With Developmental Disabilities, Mary Madison Mckenzie

Graduate Student Theses, Dissertations, & Professional Papers

The Thomas Fire for a time was the largest wildfire in California history, burning 281,893 acres and destroying 1,063 structures. Within three years, the August Complex Fire, at 1,032,649 acres, almost quadrupled that record. Climate related disasters such as these have impelled social science researchers to heed calls for a paradigm shift in understanding the risks climate change poses to the social world, in particular, disaster risks for vulnerable groups. Existing research tends to focus on disasters such as hurricanes, featuring risks for vulnerable populations by race, class, and/or individuals with disabilities in general, but not for individuals with developmental …


Prediction Of Groundwater Quality Index In The Selected Divisions Of Srikakulam Using Artificial Neural Networks Approach, Santhosh Kumar Nadikatla, Mushini Venkata Subbarao, M.P.S. Murali Krishna Jan 2022

Prediction Of Groundwater Quality Index In The Selected Divisions Of Srikakulam Using Artificial Neural Networks Approach, Santhosh Kumar Nadikatla, Mushini Venkata Subbarao, M.P.S. Murali Krishna

Applied Environmental Research

Applicability of artificial neural network (ANN) modelling in predicting the water quality index (WQI) and in turn to ascertain the suitability of the water for human consumption has been presented in the paper. In the light of the present study, seventy-nine (79) groundwater samples were collected from two mandals (divisions) Veeraghattam (VGT) and Palakonda (PLKD) and analyzed for physicochemical parameters during the pre-monsoon and post-monsoon seasons of 2015 and 2016. In computing the WQI, physicochemical parameters such as  pH, EC, TDS, TH, Ca, Mg, chlorine, fluoride, nitrite, DO and TA have been considered. From the results it was found that …


The Synapse 33 Jan 2022

The Synapse 33

The Synapse: Intercollegiate science magazine

No abstract provided.


It’S Time To Rethink That Beach Trip: The Environmental Disaster Of The Beach Industry, Sydney Rosencraft Jan 2022

It’S Time To Rethink That Beach Trip: The Environmental Disaster Of The Beach Industry, Sydney Rosencraft

The Synapse: Intercollegiate science magazine

No abstract provided.


Development Of Electrochemical Detection For Cortisol And Hepatitis C Virus Core Antigen, Pannaporn Pusomjit Jan 2022

Development Of Electrochemical Detection For Cortisol And Hepatitis C Virus Core Antigen, Pannaporn Pusomjit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This dissertation focused on the development of electrochemical biosensors for the determination of essential biomarkers by using a label-free assay. This dissertation can be divided into two parts. In the first part, a non-invasive aptamer-based electrochemical biosensor using disposable screen-printed graphene electrodes (SPGEs) was developed for simple, rapid, and sensitive determination of cortisol. The specific recognition of the cortisol DNA aptamer (CApt) was modified with streptavidin magnetic beads (MBs) before simple immobilization onto the electrode surface using a neodymium magnet. The electrochemical behavior of the aptamer-based biosensor was assessed by using electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). Furthermore, …


Dna-Templated Synthesis Of Cationic Styryl Dyes, Kriangsak Faikhruea Jan 2022

Dna-Templated Synthesis Of Cationic Styryl Dyes, Kriangsak Faikhruea

Chulalongkorn University Theses and Dissertations (Chula ETD)

Styryl dye is a class of pi-conjugated dye that shows several desirable optical properties, such as high photostability, solvatochromic characteristics, and high fluorescence quantum yields. Due to the responsiveness to the binding with the target biomolecules such as nucleic acids, some of these dyes have been widely employed for biomolecular detection and cellular imaging. These dyes are typically synthesized via an aldol-type reaction between a methyl heterocycle and an aromatic aldehyde in the presence of acid or base as a catalyst. However, the conventional method of synthesizing these dyes is inefficient, time-consuming, and involves the use of excessive chemicals, as …


ปัจจัยคัดสรรที่มีความสัมพันธ์กับพฤติกรรมการป้องกันการติดเชื้อไวรัสโคโรนา 2019 ของอาสาสมัครฉุกเฉินการแพทย์ ประเทศไทย, จารุวรรณ พฤทธยานันต์ Jan 2022

ปัจจัยคัดสรรที่มีความสัมพันธ์กับพฤติกรรมการป้องกันการติดเชื้อไวรัสโคโรนา 2019 ของอาสาสมัครฉุกเฉินการแพทย์ ประเทศไทย, จารุวรรณ พฤทธยานันต์

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยครั้งนี้เพื่อศึกษาความสัมพันธ์และอำนาจทำนายระหว่างความรู้ ทัศนคติ การรับรู้โอกาสเสี่ยงของการเกิดโรค การรับรู้ความรุนแรงของโรค การรับรู้ประโยชน์ของการปฏิบัติเพื่อป้องกันโรค การรับรู้อุปสรรคของการปฏิบัติเพื่อป้องกันโรค พฤติกรรมเกี่ยวกับการจัดการความรู้ แรงสนับสนุนทางสังคม การเปิดรับข่าวสาร และพฤติกรรมกับการป้องกันการติดเชื้อไวรัสโคโรนา 2019 ของอาสาสมัครฉุกเฉินการแพทย์ ประเทศไทย การวิจัยแบบบรรยายเชิงความสัมพันธ์ กลุ่มตัวอย่าง คือ อาสาสมัครฉุกเฉินการแพทย์ ในประเทศไทย จำนวน 165 คน คัดเลือกกลุ่มตัวอย่างด้วยวิธีการสุ่มแบบหลายขั้นตอน เครื่องมือวิจัย คือ แบบสอบถามออนไลน์ 8 ส่วน สถิติที่ใช้ในการวิเคราะห์ข้อมูล ได้แก่ สถิติเชิงพรรณนา ค่าสัมประสิทธิ์สหสัมพันธ์ของสเปียร์แมน และสถิติถดถอยพหุคูณแบบขั้นตอน ผลการวิจัย 1) ปัจจัยด้านทัศนคติ การรับรู้โอกาสเสี่ยงของการเกิดโรค การรับรู้ความรุนแรงของโรค การรับรู้ประโยชน์ของการปฏิบัติเพื่อป้องกันโรค การรับรู้อุปสรรคของการปฏิบัติเพื่อป้องกันโรค พฤติกรรมเกี่ยวกับการจัดการความรู้ แรงสนับสนุนทางสังคม และการเปิดรับข่าวสาร มีความสัมพันธ์ทางบวกกับพฤติกรรมกับการป้องกันการติดเชื้อไวรัสโคโรนา 2019 อย่างมีนัยสำคัญทางสถิติที่ระดับ .05 2) ปัจจัยที่ร่วมกันทำนายพฤติกรรมกับการป้องกันการติดเชื้อไวรัสโคโรนา 2019 ของอาสาสมัครฉุกเฉินการแพทย์ อย่างมีนัยสำคัญทางสถิติที่ระดับ .05 ได้แก่ แรงสนับสนุนทางสังคม การรับรู้ประโยชน์ของการปฏิบัติเพื่อป้องกันโรค และการเปิดรับข่าวสาร โดยสามารถร่วมกันทำนายได้ร้อยละ 66.7


Mathematical Models Of Infection Prevention Programs In Hospital Settings, Kelly A. Reagan Jan 2022

Mathematical Models Of Infection Prevention Programs In Hospital Settings, Kelly A. Reagan

Theses and Dissertations

Hospitals play a vital role in providing for the healthcare needs of a community. Patients can develop hospital-acquired infections (HAIs) during their hospitalization due to exposure to foreign bacteria, viruses, and fungi. Infection prevention programs target and reduce HAIs, but implementing the infection prevention programs often comes with a cost. The goal of my research is to use mathematical models to quantify the impact of infection prevention programs on cases of HAIs and total healthcare costs. First, I use a Markov chain model to quantify how one infection prevention program reduces general HAIs in the hospital. Then, I calculate the …


A Post-Pneumonia Epizootic Evaluation Of The Rapid City, South Dakota Bighorn Sheep Herd, Amanda N. Ensrud Jan 2022

A Post-Pneumonia Epizootic Evaluation Of The Rapid City, South Dakota Bighorn Sheep Herd, Amanda N. Ensrud

Electronic Theses and Dissertations

Pneumonia is a major factor affecting populations of free-ranging bighorn sheep (Ovis canadensis) across western North America. Pneumonia can occur in large-scale epizootics, during which greater than half of the population typically dies. After these epizootics, surviving ewes continue to conceive and bear lambs. However, lamb recruitment may remain low due to periodic or annual pneumonia outbreaks causing high lamb mortality rates, sometimes greater than 90%. Our study focused on the Rapid City, South Dakota bighorn sheep (BHS) herd that has recorded pneumonia-induced population decline since 2009. The first objective was to improve lamb health and survival by identifying and …


Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth Jan 2022

Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth

Publications

Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the population under consideration is termed the endogenous spread. The spread due to external factors like migration, mobility, etc. is called the exogenous spread. In this paper, we introduce the Exo-SIR model, an extension of the popular SIR model and a few variants of the model. The novelty in our model is that it captures both the exogenous and endogenous spread of …


Synthesis, Molecular Modeling, And Biological Evaluation Of Novel Imatinib Derivatives Asanticancer Agents, Fulya Günay, Sevcan Balta, Yuk Yin Ng, Özlem Ulucan Açan, Zühal Turgut, Ömer Tahi̇r Günkara Jan 2022

Synthesis, Molecular Modeling, And Biological Evaluation Of Novel Imatinib Derivatives Asanticancer Agents, Fulya Günay, Sevcan Balta, Yuk Yin Ng, Özlem Ulucan Açan, Zühal Turgut, Ömer Tahi̇r Günkara

Turkish Journal of Chemistry

Different derivatives of imatinib were synthesized by a 3-step reaction method. The structures of the new compounds were characterized by spectroscopic methods. For quantitative evaluation of the biological activity of the compounds, MTT assays were performed, where four BCR-ABL negative leukemic cell lines (Jurkat, Reh, Nalm-6 and Molt-4), one BCR-ABL positive cell line (K562), and one non-leukemic cell line (Hek293T) were incubated with various concentrations of the derivatives. Although imatinib was specifically designed for the BCR-ABL protein, our results showed that it was also effective on BCR-ABL negative cell lines except for Reh cell line. Compound 9 showed lowest IC50 …


A Systematic Review Of Rdrp Of Sars-Cov-2 Through Artificial Intelligence And Machine Learning Utilizing Structure-Based Drug Design Strategy, Fariha Imtiaz, Mustafa Kamal Pasha Jan 2022

A Systematic Review Of Rdrp Of Sars-Cov-2 Through Artificial Intelligence And Machine Learning Utilizing Structure-Based Drug Design Strategy, Fariha Imtiaz, Mustafa Kamal Pasha

Turkish Journal of Chemistry

Since the coronavirus disease has been declared a global pandemic, it had posed a challenge among researchers and raised common awareness and collaborative efforts towards finding the solution. Caused by severe acute respiratory coronavirus syndrome-2 (SARS-CoV-2), coronavirus drug design strategy needs to be optimized. It is understandable that cognizance of the pathobiology of COVID-19 can help scientists in the development and discovery of therapeutically effective antiviral drugs by elucidating the unknown viral pathways and structures. Considering the role of artificial intelligence and machine learning with its advancements in the field of science, it is rational to use these methods which …


Thio-Schiff Bases Derived From 2,2'-Disulfanedianiline Via Nanocerium Oxide: Antimicrobial Effect And Antiproliferative Effects In Melanoma Cells, Aslihan Dalmaz, Sefa Durmuş, Görkem Dülger, Merve Alpay Jan 2022

Thio-Schiff Bases Derived From 2,2'-Disulfanedianiline Via Nanocerium Oxide: Antimicrobial Effect And Antiproliferative Effects In Melanoma Cells, Aslihan Dalmaz, Sefa Durmuş, Görkem Dülger, Merve Alpay

Turkish Journal of Chemistry

In this study, the synthesis of dimeric disulfide-Schiff bases was carried out using two methods. The structures of the obtained Schiff bases were elucidated by various spectroscopic methods as well as elemental analysis. The Schiff base derivative compounds (3a-6) were screened for in vitro antibacterial activity against multidrug-resistant microorganisms using microdilution method. All the tested compounds showed varying inhibition zones against the pathogens. According to MIC results, the compound 2 was shown strong inhibitory activity against all the tested microorganisms compared to antibiotics. In addition, all the tested compounds showed different antiproliferative effects on the melanoma cell line (B16F10). Our …


Comprehensive Evaluation Of Reseda Lutea L. (Wild Mignonette) And 7 Isolated Flavonol Glycosides: Determination Of Antioxidant Activity, Anti-Alzheimer, Antidiabetic And Cytotoxic Effects With In Vitro And In Silico Methods, Hati̇ce Kiziltaş Jan 2022

Comprehensive Evaluation Of Reseda Lutea L. (Wild Mignonette) And 7 Isolated Flavonol Glycosides: Determination Of Antioxidant Activity, Anti-Alzheimer, Antidiabetic And Cytotoxic Effects With In Vitro And In Silico Methods, Hati̇ce Kiziltaş

Turkish Journal of Chemistry

In this study, anticholinergic, antidiabetic, antioxidant and cytotoxic activities of Reseda lutea L. (R. lutea) were determined. Ethanol extracts of R. lutea (EERL) and water extract of R. lutea (WERL) were prepared for biochemical analysis. The antioxidant capacities of EERL and WERL were evaluated with 6 different methods. In addition, acetylcholinesterase (AChE), α-amylase and α-glycosidase enzyme inhibition by EERL were measured. According to the results, EERL exhibited high inhibition effects against α-amylase, α-glycosidase and AChE enzymes. The IC50 values of EERL against AChE (2.21 μg/mL), α-glycosidase (1.38 μg/mL), and α-amylase (0.11 μg/mL) were determined. Also, high cytotoxic effect of EERL …


The Study On Biological Activities Of Silver Nanoparticles Produced Via Green Synthesis Method Using Salvia Officinalis And Thymus Vulgaris, Ömer Ödemi̇ş, Sadi̇n Özdemi̇r, Serpi̇l Gonca, Ali̇ Arslantaş, Mehmet Sali̇h Ağirtaş Jan 2022

The Study On Biological Activities Of Silver Nanoparticles Produced Via Green Synthesis Method Using Salvia Officinalis And Thymus Vulgaris, Ömer Ödemi̇ş, Sadi̇n Özdemi̇r, Serpi̇l Gonca, Ali̇ Arslantaş, Mehmet Sali̇h Ağirtaş

Turkish Journal of Chemistry

In the present study, Ag nanoparticles (AgNPs) were synthesized from Salvia officinalis and Thymus vulgaris, known as phytotherapy plants. The obtained silver nanoparticles were characterized using SEM, XRD, FTIR, and UV/Vis spectra. The antioxidant capacities of Salvia officinalis-mediated AgNP (SO-AgNP) and Thymus vulgaris-mediated AgNP (TV-AgNP) were analyzed in vitro using 1,1-diphenyl-2-picrylhydrazyl and iron chelating activity assays. DPPH activities were 83.74% and 57.17% for SO-AgNP and TV-AgNP at concentration 200 mg/L, respectively. Both green synthesized AgNPs exhibited good iron chelating activity. In addition, the DNA cleavage activities of SO-AgNPs and TV-AgNP were investigated with agarose gel electrophoresis technique. …


Cyclotide-Rich Fractions Containing Nanofibers By Electrospinning: Preparation, Characterization And Examination Of Antimicrobial Activity, Eli̇f Büşra Baş, Cemi̇l Kürekci̇, Orhan Murat Kalfa, Muharrem Akcan Jan 2022

Cyclotide-Rich Fractions Containing Nanofibers By Electrospinning: Preparation, Characterization And Examination Of Antimicrobial Activity, Eli̇f Büşra Baş, Cemi̇l Kürekci̇, Orhan Murat Kalfa, Muharrem Akcan

Turkish Journal of Chemistry

In this study, antimicrobial nanofibers were produced with the mixtures of polyvinyl alcohol (PVA) and cyclotide-rich fractions by electrospinning method. After extraction, the first separation was carried out with C18 flash chromatography and then fractioned into five separate parts by reversed-phase high-pressure liquid chromatography (RP-HPLC). The molecular weights of cyclotides in each fraction were determined by quadrupole time-of-flight liquid chromatography-mass spectrometry (Q-TOF LC-MS). Cyclotide-rich fractions were mixed with 10% of PVA solution and nanofibers were produced from this biocomposite mixture by electrospinning method. The nanofibers were characterized by field emission scanning electron microscopy (FE-SEM), and it was observed that 100% …


Virus Detection Using Bio-Based Analysis Systems: A Review Of Biorecognition Strategies, Nur Meli̇s Kiliç, Di̇lek Odaci Demi̇rkol Jan 2022

Virus Detection Using Bio-Based Analysis Systems: A Review Of Biorecognition Strategies, Nur Meli̇s Kiliç, Di̇lek Odaci Demi̇rkol

Turkish Journal of Chemistry

Infectious illnesses are on the rise in today's world, with serious consequences for animals, plants, and humans. Several infections, including the human immunodeficiency virus, affect a large number of individuals in various countries, particularly in the poorer portions of contemporary society, and continue to cause a variety of health problems. Viruses are tiny parasitic organisms. They are infectious agents that can only reproduce within a live cell of an organism. Viruses may infect any living organism. For clinical pointof- care applications, early detections for harmful agents such as bacteria, viruses are critical. The possibility of worldwide epidemics as a result …


Studying Spread Patterns Of Covid-19 Based On Spatiotemporal Data, Beiyu Lin, Xiaowei Jia, Zhiqian Chen Jan 2022

Studying Spread Patterns Of Covid-19 Based On Spatiotemporal Data, Beiyu Lin, Xiaowei Jia, Zhiqian Chen

Computer Science Faculty Publications

The current COVID-19 epidemic have transformed every aspect of our lives, especially our behavior and routines. These changes have been drastically impacting the economy in each region, such as local restaurants and transportation systems. With massive amounts of ambient data being collected everywhere, we now can develop innovative algorithms to have a much greater understanding of epidemic spread patterns of COVID-19 based on spatiotemporal data. The findings will open up the possibility to design adaptive planning or scheduling systems that will help preventing the spread of COVID-19 and other infectious diseases.

In this tutorial, we will review the trending state-of-theart …