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Articles 1 - 30 of 238
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Artificial Intelligence Enabled, Social Media Leveraging Job Matching System For Employers And Applicants, Vishnu Pendyala, Nishtha Atrey, Tina Aggarwal, Saumya Goyal
Artificial Intelligence Enabled, Social Media Leveraging Job Matching System For Employers And Applicants, Vishnu Pendyala, Nishtha Atrey, Tina Aggarwal, Saumya Goyal
Faculty Research, Scholarly, and Creative Activity
Social media is increasingly becoming a window to the user's personality. Hiring the right candidate is a formidable task for any organization and particularly in the highly competitive software industry. This paper presents a machine learning and natural language processing based system to leverage social media to assess job applicants for their suitability for a given job. We use LinkedIn profiles to assess the technical suitability and combine Twitter posts with them to assess the emotional intelligence of the applicant. The system thus indicates both the technical and soft skills perspective of the job applicants. The system can be used …
Decadal Time-Series Depletion Of Dissolved Oxygen At Abyssal Depths In The Northeast Pacific, K. L. Smith, M. Messié, T. P. Connolly, C. L. Huffard
Decadal Time-Series Depletion Of Dissolved Oxygen At Abyssal Depths In The Northeast Pacific, K. L. Smith, M. Messié, T. P. Connolly, C. L. Huffard
Faculty Research, Scholarly, and Creative Activity
Dissolved oxygen depletion in the global ocean is well documented over several decades from the surface ocean to abyssal depths. This decline is especially prevalent in the Northeast Pacific. A significant decline in dissolved oxygen has been measured over 30 years at 4,000–4,100 m depth (Station M) beneath the California Current off central California. Three principal hypotheses examined the relationship of declining oxygen with biological and physical factors over the 30-year time series. Annual resolution revealed Ekman pumping, coastal upwelling, particulate matter flux, and sediment community oxygen consumption having significant correlations with bottom water dissolved oxygen concentration. Coastal upwelling accounted …
Estimating Abundance Of An Elusive Cetacean In A Complex Environment: Harbor Porpoises (Phocoena Phocoena) In Inland Waters Of Southeast Alaska, Alexandre N. Zerbini, Kimberly T. Goetz, Karin A. Forney, Charlotte Boyd
Estimating Abundance Of An Elusive Cetacean In A Complex Environment: Harbor Porpoises (Phocoena Phocoena) In Inland Waters Of Southeast Alaska, Alexandre N. Zerbini, Kimberly T. Goetz, Karin A. Forney, Charlotte Boyd
Faculty Research, Scholarly, and Creative Activity
The harbor porpoise (Phocoena phocoena) is common in temperate waters of the eastern North Pacific Ocean, including Southeast Alaska inland waters, a complex environment comprised of open waterways, narrow channels, and inlets. Two demographically independent populations are currently recognized in this region. Bycatch of porpoises in the salmon drift gillnet fisheries is suspected to occur regularly. In this study, we apply distance sampling to estimate abundance of harbor porpoise during ship surveys carried out in the summer of 2019. A stratified survey design was implemented to sample different harbor porpoise habitats. Survey tracklines were allocated following a randomized survey design …
The Meaning Of Linguistic Diversity Survey, Reiko Kataoka
The Meaning Of Linguistic Diversity Survey, Reiko Kataoka
Faculty Research, Scholarly, and Creative Activity
No abstract provided.
Non-Hermitian Physics In Magnetic Systems, Hilary M. Hurst, Benedetta Flebus
Non-Hermitian Physics In Magnetic Systems, Hilary M. Hurst, Benedetta Flebus
Faculty Research, Scholarly, and Creative Activity
Non-Hermitian Hamiltonians provide an alternative perspective on the dynamics of quantum and classical systems coupled non-conservatively to an environment. Once primarily an interest of mathematical physicists, the theory of non-Hermitian Hamiltonians has solidified and expanded to describe various physically observable phenomena in optical, photonic, and condensed matter systems. Self-consistent descriptions of quantum mechanics based on non-Hermitian Hamiltonians have been developed and continue to be refined. In particular, non-Hermitian frameworks to describe magnonic and hybrid magnonic systems have gained popularity and utility in recent years with new insights into the magnon topology, transport properties, and phase transitions coming into view. Magnonic …
Divergent Post-Breeding Spatial Habitat Use Of Laysan And Black-Footed Albatross, Fredrick Dallas Jordan, Scott A. Shaffer, Melinda G. Conners, Julia E.F. Stepanuk, Morgan E. Gilmour, Corey A. Clatterbuck, Elliott L. Hazen, Daniel M. Palacios, Yann Tremblay, Michelle Antolos, David G. Foley, Steven J. Bograd, Daniel P. Costa, Lesley H. Thorne
Divergent Post-Breeding Spatial Habitat Use Of Laysan And Black-Footed Albatross, Fredrick Dallas Jordan, Scott A. Shaffer, Melinda G. Conners, Julia E.F. Stepanuk, Morgan E. Gilmour, Corey A. Clatterbuck, Elliott L. Hazen, Daniel M. Palacios, Yann Tremblay, Michelle Antolos, David G. Foley, Steven J. Bograd, Daniel P. Costa, Lesley H. Thorne
Faculty Research, Scholarly, and Creative Activity
Understanding the at-sea movements of wide-ranging seabird species throughout their annual cycle is essential for their conservation and management. Habitat use and resource partitioning of Laysan (Phoebastria immutabilis) and black-footed (Phoebastria nigripes) albatross are well-described during the breeding period but are less understood during the post-breeding period, which represents ~40% of their annual cycle. Resource partitioning may be reduced during post-breeding, when birds are not constrained to return to the nest site regularly and can disperse to reduce competitive pressure. We assessed the degree of spatial segregation in the post-breeding distributions of Laysan (n = 82) and black-footed albatrosses (n …
Measuring Competition Between The Great Powers Across Africa And Asia Using A Measure Of Relative Dispersion In Media Coverage Bias, Elizabeth Gooch, Stone Goethe, Nicholas Sobrepena, Eric Eckstrand
Measuring Competition Between The Great Powers Across Africa And Asia Using A Measure Of Relative Dispersion In Media Coverage Bias, Elizabeth Gooch, Stone Goethe, Nicholas Sobrepena, Eric Eckstrand
Faculty Research, Scholarly, and Creative Activity
Senior leaders in the US Department of Defense, as well as global affairs strategists and academics, have argued that China’s economic growth is associated with a dramatic increase in competition for resources and Chinese influence abroad. We aim to ascertain whether and where competition between great powers exists and to characterize China’s growing influence. Our main contribution is that we create a measure of competition among the United States, China, Russia, India, and France within African and Asian countries. We draw our data from a large media database that records news articles published since March 2015. We sum the quantity …
Towards Building A Deep Learning Based Automated Indian Classical Music Tutor For The Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, Lokesh Vadlamudi
Towards Building A Deep Learning Based Automated Indian Classical Music Tutor For The Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, Lokesh Vadlamudi
Faculty Research, Scholarly, and Creative Activity
Music can play an important role in the well-being of the world. Indian classical music is unique in its requirement for rigorous, disciplined, expert-led training that typically goes on for years before the learner can reach a reasonable level of performance. This keeps many, including the first author of this paper, away from mastering the skill. The problem is particularly compounded in rural areas, where the available expertise may be limited and prohibitively expensive, but the interest in learning classical music still prevails, nevertheless. Machine Learning has been complementing, enhancing, and replacing many white-collar jobs and we believe it can …
Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams
Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams
Faculty Research, Scholarly, and Creative Activity
Advanced computer vision technology can provide near real-time home monitoring to support “aging in place” by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algorithms), can potentially bring significant social benefits. However, it has not been deployed in practice because of privacy concerns. In this paper, we propose a strategy that uses homomorphic encryption to resolve this dilemma, which guarantees information confidentiality while retaining action detection. Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average …
A Multitask Deep Learning Approach For Pulmonary Embolism Detection And Identification, Xiaotian Ma, Emma C. Ferguson, Xiaoqian Jiang, Sean I. Savitz, Shayan Shams
A Multitask Deep Learning Approach For Pulmonary Embolism Detection And Identification, Xiaotian Ma, Emma C. Ferguson, Xiaoqian Jiang, Sean I. Savitz, Shayan Shams
Faculty Research, Scholarly, and Creative Activity
Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial morbidity and mortality. Therefore, rapid diagnoses and treatments are essential. Chest computed tomographic pulmonary angiogram (CTPA) is the gold standard for PE diagnoses. Deep learning can enhance the radiologists’workflow by identifying PE using CTPA, which helps to prioritize important cases and hasten the diagnoses for at-risk patients. In this study, we propose a two-phase multitask learning method that can recognize the presence of PE and its properties such as the position, whether acute or chronic, and the corresponding right-to-left ventricle diameter (RV/LV) ratio, thereby …
A Comprehensive Artificial Intelligence Framework For Dental Diagnosis And Charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, Shayan Shams
A Comprehensive Artificial Intelligence Framework For Dental Diagnosis And Charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, Shayan Shams
Faculty Research, Scholarly, and Creative Activity
Background: The aim of this study was to develop artificial intelligence (AI) guided framework to recognize tooth numbers in panoramic and intraoral radiographs (periapical and bitewing) without prior domain knowledge and arrange the intraoral radiographs into a full mouth series (FMS) arrangement template. This model can be integrated with different diseases diagnosis models, such as periodontitis or caries, to facilitate clinical examinations and diagnoses. Methods: The framework utilized image segmentation models to generate the masks of bone area, tooth, and cementoenamel junction (CEJ) lines from intraoral radiographs. These masks were used to detect and extract teeth bounding boxes utilizing several …
Impact Of Covid-19 On Health Risk Behaviors In Northern California: A Cross-Sectional Survey, Adriana Telias, Marcelle M. Dougan, Giselle A.P. Pignotti
Impact Of Covid-19 On Health Risk Behaviors In Northern California: A Cross-Sectional Survey, Adriana Telias, Marcelle M. Dougan, Giselle A.P. Pignotti
Faculty Research, Scholarly, and Creative Activity
The COVID-19 pandemic has been disruptive, unevenly impacting health behaviors in different geographical regions and population groups. We examined how COVID-19 affected perceived changes in physical activity, sleep, and diet and the impact of socio-demographic variables on a calculated health risk behavior score. In this cross-sectional study, 505 residents of northern California completed a web-based survey from August to November of 2020. Chi-square and multivariable linear regression analyses examined the association between socio-demographic variables and the health risk behavior score. Approximately 84 % of respondents experienced at least one unfavorable behavior change after the pandemic, with 49.5 % indicating a …
The Evolution Of Extraordinary Self-Sacrifice, D. B. Krupp, Wes Maciejewski
The Evolution Of Extraordinary Self-Sacrifice, D. B. Krupp, Wes Maciejewski
Faculty Research, Scholarly, and Creative Activity
From a theoretical perspective, individuals are expected to sacrifice their welfare only when the benefits outweigh the costs. In nature, however, the costs of altruism and spite can be extreme, as in cases of irreversible sterility and self-destructive weaponry. Here we show that “extraordinary” self-sacrifice—in which actors pay costs that exceed the benefits they give or the costs they impose on recipients—can evolve in structured populations, where social actions bring secondary benefits to neighboring kin. When given information about dispersal, sedentary actors evolve extraordinary altruism towards dispersing kin. Likewise, when given information about dispersal and kinship, sedentary actors evolve extraordinary …
The Flavor Profiles Of Highland Barley Fermented With Different Mushroom Mycelium, Kai Wang, Cuicui Yang, Ziyan Dai, Zhenxiang Wen, Yin Liu, Xi Feng, Ying Liu, Wen Huang
The Flavor Profiles Of Highland Barley Fermented With Different Mushroom Mycelium, Kai Wang, Cuicui Yang, Ziyan Dai, Zhenxiang Wen, Yin Liu, Xi Feng, Ying Liu, Wen Huang
Faculty Research, Scholarly, and Creative Activity
Highland barley was fermented with Cordyceps militaris, Stropharia rugoso-annulata, Morchella esculenta, Schizophyllum commune and Tremella sanguinea. The flavor profiles were investigated by electronic nose (E-nose), headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) and sensory evaluation by train panel. Fermentation with mushroom mycelium was able to change the aroma profile of highland barley. The original strong grassy taste was reduced due to a decrease in hexanal, decanal and 2-pentylfuran, and new aromatic flavors (floral, sweet and mushroom fragrance) were acquired after fermentation. The overall flavor of the fermented highland barley varied with mushroom strains. Schizophyllum commune gave a heavier sour taste …
A Multi-Site, International Audit Of Malnutrition Risk And Energy And Protein Intakes In Patients Undergoing Treatment For Head Neck And Esophageal Cancer: Results From Inform, Lisa Martin, Merran Findlay, Judith D. Bauer, Rupinder Dhaliwal, Marian De Van Der Schueren, Alessandro Laviano, Adrianne Widaman, Vickie E. Baracos, Andrew G. Day, Leah M. Gramlich
A Multi-Site, International Audit Of Malnutrition Risk And Energy And Protein Intakes In Patients Undergoing Treatment For Head Neck And Esophageal Cancer: Results From Inform, Lisa Martin, Merran Findlay, Judith D. Bauer, Rupinder Dhaliwal, Marian De Van Der Schueren, Alessandro Laviano, Adrianne Widaman, Vickie E. Baracos, Andrew G. Day, Leah M. Gramlich
Faculty Research, Scholarly, and Creative Activity
Patients with foregut tumors are at high risk of malnutrition. Nutrition care focuses on identifying individuals at risk of malnutrition and optimizing nutrient intake to promote the maintenance of body weight and lean body mass. This multi-center prospective, longitudinal study audited nutrition care practices related to screening for risk of malnutrition (Patient-Generated Subjective Global Assessment Short Form; PG-SGA SF), and nutrition interventions prescribed (route; adequacy of energy and protein intakes). Audits occurred at four time periods: baseline (before treatment) and at 2, 4, and 6 months after starting cancer treatment; 170 patients (esophageal (ESO; n = 51); head and neck …
Supplemental Nutrition Assistance Program (Snap)-Authorized Retailers Received A Low Score Using The Business Impact Assessment For Obesity And Population-Level Nutrition (Bia-Obesity) Tool, Bailey Houghtaling, Tessa Englund, Susan Chen, Nila Pradhananga, Vivica I. Kraak, Elena Serrano, Samantha M. Harden, George C. Davis, Sarah Misyak
Supplemental Nutrition Assistance Program (Snap)-Authorized Retailers Received A Low Score Using The Business Impact Assessment For Obesity And Population-Level Nutrition (Bia-Obesity) Tool, Bailey Houghtaling, Tessa Englund, Susan Chen, Nila Pradhananga, Vivica I. Kraak, Elena Serrano, Samantha M. Harden, George C. Davis, Sarah Misyak
Faculty Research, Scholarly, and Creative Activity
Background: The Supplemental Nutrition Assistance Program (SNAP) supports Americans with lower income to purchase dietary products at authorized retailers. This research aimed to evaluate SNAP-authorized retailers’ public commitments in support of nutrition security and to examine differences between traditional grocers and nontraditional (e.g., convenience, drug, dollar) SNAP-authorized retailers’ public commitments. Methods: Prominent United States (U.S.) SNAP-authorized retailers nationally and in two U.S. states (California and Virginia) were identified based on number of store locations (n = 61). Public information available in grey literature were reviewed and scored using the Business Impact Assessment for Obesity and population-level nutrition (BIA-Obesity) tool. SNAP-authorized …
Experimental Realization Of An Extended Fermi-Hubbard Model Using A 2d Lattice Of Dopant-Based Quantum Dots, Xiqiao Wang, Ehsan Khatami, Fan Fei, Jonathan Wyrick, Pradeep Namboodiri, Ranjit Kashid, Albert F. Rigosi, Garnett Bryant, Richard Silver
Experimental Realization Of An Extended Fermi-Hubbard Model Using A 2d Lattice Of Dopant-Based Quantum Dots, Xiqiao Wang, Ehsan Khatami, Fan Fei, Jonathan Wyrick, Pradeep Namboodiri, Ranjit Kashid, Albert F. Rigosi, Garnett Bryant, Richard Silver
Faculty Research, Scholarly, and Creative Activity
The Hubbard model is an essential tool for understanding many-body physics in condensed matter systems. Artificial lattices of dopants in silicon are a promising method for the analog quantum simulation of extended Fermi-Hubbard Hamiltonians in the strong interaction regime. However, complex atom-based device fabrication requirements have meant emulating a tunable two-dimensional Fermi-Hubbard Hamiltonian in silicon has not been achieved. Here, we fabricate 3 × 3 arrays of single/few-dopant quantum dots with finite disorder and demonstrate tuning of the electron ensemble using gates and probe the many-body states using quantum transport measurements. By controlling the lattice constants, we tune the hopping …
Psychometric Evaluation Of The Muscle Dysmorphic Disorder Inventory (Mddi) Among Gender-Expansive People, Emilio J. Compte, Chloe J. Cattle, Jason M. Lavender, Tiffany A. Brown, Stuart B. Murray, Matthew R. Capriotti, Annesa Flentje, Micah E. Lubensky, Juno Obedin-Maliver, Mitchell R. Lunn, Jason M. Nagata
Psychometric Evaluation Of The Muscle Dysmorphic Disorder Inventory (Mddi) Among Gender-Expansive People, Emilio J. Compte, Chloe J. Cattle, Jason M. Lavender, Tiffany A. Brown, Stuart B. Murray, Matthew R. Capriotti, Annesa Flentje, Micah E. Lubensky, Juno Obedin-Maliver, Mitchell R. Lunn, Jason M. Nagata
Faculty Research, Scholarly, and Creative Activity
Purpose: Muscle dysmorphia is generally classified as a specific form of body dysmorphic disorder characterized by a pathological drive for muscularity and the preoccupation that one is too small or not sufficiently muscular. The majority of research on the condition has been conducted in cisgender men with a paucity of literature on gender minority people, a population that is at risk for muscle dysmorphia. One of the most widely used measures of muscle dysmorphia symptoms, the Muscle Dysmorphic Disorder Inventory (MDDI), has not been psychometrically validated for use in gender minority samples, the aim of the present study. Methods: We …
Objective Evaluation Of The Somatogravic Illusion From Flight Data Of An Airplane Accident, Eric L. Groen, Torin K. Clark, Mark M.J. Houben, Jelte E. Bos, Randall J. Mumaw
Objective Evaluation Of The Somatogravic Illusion From Flight Data Of An Airplane Accident, Eric L. Groen, Torin K. Clark, Mark M.J. Houben, Jelte E. Bos, Randall J. Mumaw
Faculty Research, Scholarly, and Creative Activity
(1) Background: It is difficult for accident investigators to objectively determine whether spatial disorientation may have contributed to a fatal airplane accident. In this paper, we evaluate three methods to reconstruct the possible occurrence of the somatogravic illusion based on flight data recordings from an airplane accident. (2) Methods: The outputs of two vestibular models were compared with the “standard” method, which uses the unprocessed gravito-inertial acceleration (GIA). (3) Results: All three methods predicted that the changing orientation of the GIA would lead to a somatogravic illusion when no visual references were available. However, the methods were not able to …
Vertical Gan Diode Bv Maximization Through Rapid Tcad Simulation And Ml-Enabled Surrogate Model, Albert Lu, Jordan Marshall, Yifan Wang, Ming Xiao, Yuhao Zhang, Hiu Yung Wong
Vertical Gan Diode Bv Maximization Through Rapid Tcad Simulation And Ml-Enabled Surrogate Model, Albert Lu, Jordan Marshall, Yifan Wang, Ming Xiao, Yuhao Zhang, Hiu Yung Wong
Faculty Research, Scholarly, and Creative Activity
In this paper, two methodologies are used to speed up the maximization of the breakdown voltage (BV) of a vertical GaN diode that has a theoretical maximum BV of ∼ 2100 V. Firstly, we demonstrated a 5X faster accurate simulation method in Technology Computer-Aided-Design (TCAD). This allows us to find 50 % more numbers of high BV (>1400 V) designs at a given simulation time. Secondly, a machine learning (ML) model is developed using TCAD-generated data and used as a surrogate model for differential evolution optimization. It can inversely design an out-of-the-training-range structure with BV as high as 1887 …
Traffic Restrictions During The 2008 Olympic Games Reduced Urban Heat Intensity And Extent In Beijing, Bo Yang, Hongxing Liu, Emily L. Kang, Timothy L. Hawthorne, Susanna T.Y. Tong, Song Shu, Min Xu
Traffic Restrictions During The 2008 Olympic Games Reduced Urban Heat Intensity And Extent In Beijing, Bo Yang, Hongxing Liu, Emily L. Kang, Timothy L. Hawthorne, Susanna T.Y. Tong, Song Shu, Min Xu
Faculty Research, Scholarly, and Creative Activity
Satellite thermal remote sensing has been utilized to examine the urban heat dynamics in relation to the urban traffic restriction policy. During the 2008 Olympic Games in Beijing, the traffic volume was approximately cut off by half through the road space rationing. Based on daily MODIS satellite thermal observations on the surface temperature, statistical models were developed to analyze the contribution of traffic volume reduction to the urban heat intensity and spatial extent. Our analyses show that cutting off half of the traffic volume has led to a marked decrease in the mean surface temperature by 1.5–2.4 °C and shrinkage …
Towards The Ionizing Radiation Induced Bond Dissociation Mechanism In Oxygen, Water, Guanine And Dna Fragmentation: A Density Functional Theory Simulation, Santosh Kc, Ramin Abolfath
Towards The Ionizing Radiation Induced Bond Dissociation Mechanism In Oxygen, Water, Guanine And Dna Fragmentation: A Density Functional Theory Simulation, Santosh Kc, Ramin Abolfath
Faculty Research, Scholarly, and Creative Activity
The radiation-induced damages in bio-molecules are ubiquitous processes in radiotherapy and radio-biology, and critical to space projects. In this study, we present a precise quantification of the fragmentation mechanisms of deoxyribonucleic acid (DNA) and the molecules surrounding DNA such as oxygen and water under non-equilibrium conditions using the first-principle calculations based on density functional theory (DFT). Our results reveal the structural stability of DNA bases and backbone that withstand up to a combined threshold of charge and hydrogen abstraction owing to simultaneously direct and indirect ionization processes. We show the hydrogen contents of the molecules significantly control the stability in …
Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study, Sambhav Gupta, Yu Chen
Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study, Sambhav Gupta, Yu Chen
Faculty Research, Scholarly, and Creative Activity
Supporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided opportunities for assisting learning for different types of students. This research aims at investigating the opportunities and requirements of chatbots as an intelligent helper to facilitate equity in learning. We developed a chatbot as an experimental platform to investigate the design opportunities of using chatbots to support inclusive learning. Through a chatbot-led …
Analysis Of Volatile Compounds In Jinhua Ham Using Three Extraction Methods Combined With Gas Chromatography–Time-Of-Flight Mass Spectrometry, Dengyong Liu, Cong Yang, Lu Bai, Xi Feng, Yanping Chen, Yin Zhang, Yuan Liu
Analysis Of Volatile Compounds In Jinhua Ham Using Three Extraction Methods Combined With Gas Chromatography–Time-Of-Flight Mass Spectrometry, Dengyong Liu, Cong Yang, Lu Bai, Xi Feng, Yanping Chen, Yin Zhang, Yuan Liu
Faculty Research, Scholarly, and Creative Activity
The volatile compounds in Jinhua ham samples after different aging times were characterized using solvent-assisted flavor evaporation (SAFE), solid-phase microextraction (SPME), and needle trap (NT) extraction methods combined with gas chromatography–time-of-flight mass spectrometry (GC–TOF/MS). Hundreds of aroma compounds were identified, including aldehydes, alcohols, ketones, furans, esters, acids, pyrazines, and sulfides. The results showed that NT extracted the greatest number of volatile compounds, whereas the extraction efficiency of SPME headspace adsorption was highest among the three sample preparation methods. Principal component analysis of SPME effectively distinguished the variation in the aroma of the Jinhua hams specific to aging time. Butyrolactone, 2,6-dimethylpyrazine, …
Leaving More Than Footprints: Anthropogenic Nutrient Subsidies To A Protected Area, A. S. Guerra, A. Bui, M. Klope, D. A. Orr, S. A. Shaffer, H. S. Young
Leaving More Than Footprints: Anthropogenic Nutrient Subsidies To A Protected Area, A. S. Guerra, A. Bui, M. Klope, D. A. Orr, S. A. Shaffer, H. S. Young
Faculty Research, Scholarly, and Creative Activity
Mobile animals that traverse ecosystem boundaries can fundamentally reshape environments by providing critical nutrient and energy inputs to the ecosystems they inhabit. In particular, aggregations of seabirds often transform coastal and island ecosystems through large amounts of nutrient-rich guano deposition. Anthropogenically driven losses of these subsidies can occur through changes in abundance of mobile species, including seabirds, and have been shown to drive whole-scale ecosystem state change on islands. However, even though many species that forage on anthropogenic food sources are highly mobile and may thus play important roles in moving nutrients from urban systems to otherwise conserved ecosystems, the …
Integrated Multi-Trophic Aquaculture Mitigates The Effects Of Ocean Acidification: Seaweeds Raise System Ph And Improve Growth Of Juvenile Abalone, Scott L. Hamilton, Matthew S. Elliott, Maya S. Devries, Jason Adelaars, Maxwell D. Rintoul, Michael H. Graham
Integrated Multi-Trophic Aquaculture Mitigates The Effects Of Ocean Acidification: Seaweeds Raise System Ph And Improve Growth Of Juvenile Abalone, Scott L. Hamilton, Matthew S. Elliott, Maya S. Devries, Jason Adelaars, Maxwell D. Rintoul, Michael H. Graham
Faculty Research, Scholarly, and Creative Activity
Integrated multi-trophic aquaculture (IMTA) has the potential to enhance growth, reduce nutrient loads, and mitigate environmental conditions compared to traditional single-species culture techniques. The goal of this project was to develop a land-based system for the integrated culture of seaweeds and shellfish, to test the efficacy of integrated versus non-integrated designs, and to assess the potential for IMTA to mitigate the effects of climate change from ocean acidification on shellfish growth and physiology. We utilized the red abalone (Haliotis rufescens) and the red seaweed dulse (Devaleraea mollis) as our study species and designed integrated tanks at three different recirculation rates …
Editorial: Women In Academia: Challenges And Solutions To Representation In The Social Sciences, Camille S. Johnson, Jessi L. Smith, Colette Van Laar
Editorial: Women In Academia: Challenges And Solutions To Representation In The Social Sciences, Camille S. Johnson, Jessi L. Smith, Colette Van Laar
Faculty Research, Scholarly, and Creative Activity
No abstract provided.
Correctness And Response Time Distributions In The Memtrax Continuous Recognition Task: Analysis Of Strategies And A Reverse-Exponential Model, J. Wesson Ashford, James O. Clifford, Sulekha Anand, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley
Correctness And Response Time Distributions In The Memtrax Continuous Recognition Task: Analysis Of Strategies And A Reverse-Exponential Model, J. Wesson Ashford, James O. Clifford, Sulekha Anand, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley
Faculty Research, Scholarly, and Creative Activity
A critical issue in addressing medical conditions is measurement. Memory measurement is difficult, especially episodic memory, which is disrupted by many conditions. On-line computer testing can precisely measure and assess several memory functions. This study analyzed memory performances from a large group of anonymous, on-line participants using a continuous recognition task (CRT) implemented at https://memtrax.com. These analyses estimated ranges of acceptable performance and average response time (RT). For 344,165 presumed unique individuals completing the CRT a total of 602,272 times, data were stored on a server, including each correct response (HIT), Correct Rejection, and RT to the thousandth of a …
First-Principles Prediction Of New 2d P-Sipn: A Wide Bandgap Semiconductor, Shambhu Bhandari Sharma, Issam Qattan, Santosh Kc, Sufian Abedrabbo
First-Principles Prediction Of New 2d P-Sipn: A Wide Bandgap Semiconductor, Shambhu Bhandari Sharma, Issam Qattan, Santosh Kc, Sufian Abedrabbo
Faculty Research, Scholarly, and Creative Activity
Pentagonal two-dimensional ternary sheets are an emerging class of materials because of their novel characteristic and wide range of applications. In this work, we use first-principles density functional theory (DFT) calculations to identify a new pentagonal SiPN, p-SiPN, which is geometrically, thermodynamically, dynamically, and mechanically stable, and has promising experimental potential. The new p-SiPN shows an indirect bandgap semiconducting behavior that is highly tunable with applied equ-biaxial strain. It is mechanically isotropic, along the x-y in-plane direction, and is a soft material possessing high elasticity and ultimate strain. In addition, its exceptional anisotropic optical response with strong UV light absorbance, …
“Everything…Fell Apart Once Covid-19 Hit”—Leveraging The Covid-19 Response To Strengthen Public Health Activities Toward Ending The Hiv Epidemic: A Qualitative Study, Samantha A. Devlin, Moctezuma Garcia, Kayo Fujimoto, Camden Hallmark, Marlene Mcneese, John Schneider, Moira C. Mcnulty
“Everything…Fell Apart Once Covid-19 Hit”—Leveraging The Covid-19 Response To Strengthen Public Health Activities Toward Ending The Hiv Epidemic: A Qualitative Study, Samantha A. Devlin, Moctezuma Garcia, Kayo Fujimoto, Camden Hallmark, Marlene Mcneese, John Schneider, Moira C. Mcnulty
Faculty Research, Scholarly, and Creative Activity
COVID-19 caused widespread disruption of activities for Ending the HIV Epidemic (EHE). In this study we assessed public health perspectives on leveraging the COVID-19 response to advance the goals of EHE. We conducted a qualitative study with 33 public health partners in the Midwestern and Southern United States from October 2020 to February 2022. Participants were asked how the strategies developed for COVID-19 could be applied to the HIV epidemic. Interviews were recorded, transcribed, and examined using rapid qualitative analysis. Four themes emerged: (1) Rebuilding teams and adapting culture for success in EHE activities; (2) Recognizing and modernizing the role …