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Articles 31051 - 31080 of 294391

Full-Text Articles in Physical Sciences and Mathematics

Modulation Of Optoelectronic Properties Of Electron Rich Pyrrolopyrroles Via Peripheral Alterations, Lillian Daniel Mar 2024

Modulation Of Optoelectronic Properties Of Electron Rich Pyrrolopyrroles Via Peripheral Alterations, Lillian Daniel

Master's Theses

Understanding structure-property relationships of π-conjugated chromophores based on peripheral functionalization is important for the continued development of various organic electronic applications. 1,4-Dihydropyrrolo[3,2-b]pyrroles (DHPPs) are synthetically simple chromophores with tailorable optical and electrochemical properties based on the functionalities of the starting materials. The overarching goal of this thesis is to understand how peripheral functionalization strategies enable distinctly different optical and electrochemical properties that may be useful for various applications. Motivated by the synthetic simplicity and tunability of DHPPs, molecules with varying design motifs were synthesized to exhibit how functionality influences optical and electrochemical properties. First, two molecules with varying …

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When And Why Ecological Systems Respond To The Rate Rather Than The Magnitude Of Environmental Changes, Karen C. Abbott Mar 2024

When And Why Ecological Systems Respond To The Rate Rather Than The Magnitude Of Environmental Changes, Karen C. Abbott

Faculty Scholarship

Ecologists and conservation biologists have become quite familiar with the concept of tipping points: abrupt changes in an ecosystem's state that occur after a period of relative stasis. Most of the familiar ecological examples of tipping points occur either because a once-stable state has lost stability, or the system has been subjected to a particularly large perturbation and transitions to an alternative stable state, distinct from the pre-perturbed state. A different class of tipping points, known as rate-induced tipping (or r-tipping) points, are likely present in many ecological communities but remain little known in the field. Rate-induced tipping occurs when …

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Laboratory Exercise For The Radiometry Student, Michael A. Marciniak Mar 2024

Laboratory Exercise For The Radiometry Student, Michael A. Marciniak

Faculty Publications

The U.S. Air and Space Forces require optical expertise among their personnel. The Air Force Institute of Technology offers a graduate optics curriculum, which includes a three-course sequence to educate students in the optical concepts of radiometry and radiometric instrumentation. We find radiometry is often a deceptively difficult concept for students to master. To address this, we have developed an experiment in our optics-laboratory coursework to help them gain this mastery. A Fourier-transform infrared spectrometer (FTS) is used to collect spectral data from an unknown sample. FTS calibration and data collection are discussed here, as are the two specific samples …

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Deep Learning Model For Personalized Prediction Of Positive Mrsa Culture Using Time-Series Electronic Health Records, Ziqian Xie, Degui Zhi Mar 2024

Deep Learning Model For Personalized Prediction Of Positive Mrsa Culture Using Time-Series Electronic Health Records, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events from Memorial Hermann Hospital System, Houston, Texas are used for model development. PyTorch_EHR outperforms logistic regression (LR) and light gradient boost machine (LGBM) models in accuracy (AUROC

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Symptom Detection With Text Messag Log Distributions For Holistic Depression And Anxiety Screening, Ml Tlachac, Michael Heinz, Miranda Reisch, Samuel S. Ogden Mar 2024

Symptom Detection With Text Messag Log Distributions For Holistic Depression And Anxiety Screening, Ml Tlachac, Michael Heinz, Miranda Reisch, Samuel S. Ogden

Information Systems and Analytics Department Faculty Journal Articles

Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD) are both heterogeneous in their clinical presentations, manifesting with unique symptom profiles. Despite this, prior digital phenotype research has primarily focused on disorder-level detection rather than symptom-level detection. In this research, we predict the existence of individual symptoms of MDD and GAD with SMS log metadata, and ensemble these symptom-level classifiers to screen for depression and anxiety, thus accounting for disorder heterogeneity. Further, we collect an additional dataset of retrospectively harvested SMS logs to augment an existing dataset collected after COVID-19 altered communication patterns, and propose two new types of distribution …

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Lc-Ms/Ms Reveals Hordeins Are Enriched In Brewers’ Spent Grain, Mitchell G. Nye-Wood, Michelle L. Colgrave Mar 2024

Lc-Ms/Ms Reveals Hordeins Are Enriched In Brewers’ Spent Grain, Mitchell G. Nye-Wood, Michelle L. Colgrave

Research outputs 2022 to 2026

Barley is commonly used in malting and brewing, and spent grain is repurposed for other foods. Barley contains gluten proteins called hordeins that cause intestinal damage and disease symptoms if eaten by people with celiac disease and related conditions. While the mashing process in brewing can partially hydrolyze immunogenic epitopes in hordeins, the immunogenic epitope load between the starting malt and spent grain has not been investigated. Herein, we quantified hordeins in commercially available spent grain and from matching malt. Liquid chromatography-mass spectrometry (LC-MS) and sandwich and competitive R5 ELISAs were used for quantification, revealing a higher abundance of gluten …

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Graph Theory And Graph Neural Network Assisted High-Throughput Crystal Structure Prediction And Screening For Energy Conversion And Storage, Joshua Ojih, Mohammed Al-Fahdi, Yagang Yao, Jianjun Hu, Ming Hu Mar 2024

Graph Theory And Graph Neural Network Assisted High-Throughput Crystal Structure Prediction And Screening For Energy Conversion And Storage, Joshua Ojih, Mohammed Al-Fahdi, Yagang Yao, Jianjun Hu, Ming Hu

Faculty Publications

Prediction of crystal structures with desirable material properties is a grand challenge in materials research, due to the enormous search space of possible combinations of elements and their countless arrangements in 3D space. Despite the recent progress of a few crystal structure prediction algorithms, most of those methods only target a few specific material families or are restricted to simple systems with limited element diversity. Moreover, these algorithms are usually coupled with first principles calculations and thus are computationally expensive and very time consuming. Therefore, establishing a workflow that can generate a large number of hypothetical structures with diverse elements …

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A Novel Data Fusion Framework To Enhance Contextual Awareness Of The Autonomous Vehicles For Accurate Decision Making, Henry Alexander Ignatious Mar 2024

A Novel Data Fusion Framework To Enhance Contextual Awareness Of The Autonomous Vehicles For Accurate Decision Making, Henry Alexander Ignatious

Thesis/ Dissertation Defenses

Autonomous driving has the potential to bring significant changes and benefits to various aspects of transportation. Autonomous vehicles (AVs) use a combination of advanced sensors, cameras, radar, lidar, GPS, maps, and AI algorithms to perceive their environment, make decisions, and control their movements. Though there is a significant increase in the AVs utility, there are several challenges associated with the AVs among which ensuring safety and security for a reliable drive is still an existing challenge. The majority of accidents involving the AVs result from faulty decision-making resulting in fatal incidents. Multiple elements contribute to the flawed decision-making in autonomous …

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Development Of A Composite Drought Indicator For Operational Drought Monitoring In The Mena Region, Karim Bergaoui, Makram Belhaj Fraj, Stephen Fragaszy, Ali Ghanim, Omar Hamadin, Emad Al‑Karablieh, Jawad Al‑Bakri, Mona Fakih, Abbas Fayad, Fadi Comair, Mohamed Yessef, Hayat Ben Mansour, Haythem Belgrissi, Kristi Arsenault, Christa Peters‑Lidard, Sujay Kumar, Abheera Hazra, Wanshu Nie, Michael Hayes, Mark D. Svoboda, Rachael Mcdonnell Mar 2024

Development Of A Composite Drought Indicator For Operational Drought Monitoring In The Mena Region, Karim Bergaoui, Makram Belhaj Fraj, Stephen Fragaszy, Ali Ghanim, Omar Hamadin, Emad Al‑Karablieh, Jawad Al‑Bakri, Mona Fakih, Abbas Fayad, Fadi Comair, Mohamed Yessef, Hayat Ben Mansour, Haythem Belgrissi, Kristi Arsenault, Christa Peters‑Lidard, Sujay Kumar, Abheera Hazra, Wanshu Nie, Michael Hayes, Mark D. Svoboda, Rachael Mcdonnell

School of Natural Resources: Faculty Publications

This paper presents the composite drought indicator (CDI) that Jordanian, Lebanese, Moroccan, and Tunisian government agencies now produce monthly to support operational drought management decision making, and it describes their iterative co-development processes. The CDI is primarily intended to monitor agricultural and ecological drought on a seasonal time scale. It uses remote sensing and modelled data inputs, and it reflects anomalies in precipitation, vegetation, soil moisture, and evapotranspiration. Following quantitative and qualitative validation assessments, engagements with policymakers, and consideration of agencies’ technical and institutional capabilities and constraints, we made changes to CDI input data, modelling procedures, and integration to tailor …

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Beyond Standard Model: Neutrino Dipoles And Proto Hydrogen Bundles., Polievkt Perov Mar 2024

Beyond Standard Model: Neutrino Dipoles And Proto Hydrogen Bundles., Polievkt Perov

College of Arts & Sciences Faculty Works

In our composite models of elementary particles as consisting of just two types of elementary basic charges, +e/3 and -e/3, the axial electric potential of any elementary particle is a function of a distance from the particle, and this function differs from the Coulomb potential of a point total charge of the particle. The electric potential of neutrinos is not zero at close distances from neutrinos. Neutrinos can form dipoles and bundles of 3 or more neutrinos. The three-neutrino bundle (a proto-hydrogen) can be converted to a hydrogen atom. As we suggested in our previous paper [4], the total numbers …

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Beyond Standard Model: Electrostatic Potential Energy Of Quarks, Electron, And Neutrinos As Spinning Composite Structures, Polievkt Perov Mar 2024

Beyond Standard Model: Electrostatic Potential Energy Of Quarks, Electron, And Neutrinos As Spinning Composite Structures, Polievkt Perov

College of Arts & Sciences Faculty Works

The potential energy of any composite structure is related to the binding energy of the structure. The equations for the electrostatic potential energy of quarks, electron-like structures, and neutrinos are presented for our models of elementary particles as spinning composite structures. The structures consist of up to 3 basic elementary charges of magnitude e/3 on the axis of rotation and N charges revolving about the axis. We applied these general equations specifically to the models of different quarks, electron and electron-like particles (muon and tau), and neutral particles (neutrinos). It is shown that the electrostatic potential energies of all considered …

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Relative Vectoring Using Dual Object Detection For Autonomous Aerial Refueling, Derek B. Worth, Jeffrey L. Choate, James Lynch, Scott L. Nykl, Clark N. Taylor Mar 2024

Relative Vectoring Using Dual Object Detection For Autonomous Aerial Refueling, Derek B. Worth, Jeffrey L. Choate, James Lynch, Scott L. Nykl, Clark N. Taylor

Faculty Publications

Once realized, autonomous aerial refueling will revolutionize unmanned aviation by removing current range and endurance limitations. Previous attempts at establishing vision-based solutions have come close but rely heavily on near perfect extrinsic camera calibrations that often change midflight. In this paper, we propose dual object detection, a technique that overcomes such requirement by transforming aerial refueling imagery directly into receiver aircraft reference frame probe-to-drogue vectors regardless of camera position and orientation. These vectors are precisely what autonomous agents need to successfully maneuver the tanker and receiver aircraft in synchronous flight during refueling operations. Our method follows a common 4-stage process …

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Fluorine Beyond Pfas: Tracking Fluorine During Photolysis Of Fluorinated Pesticides And Pharmaceuticals, William Arnold Mar 2024

Fluorine Beyond Pfas: Tracking Fluorine During Photolysis Of Fluorinated Pesticides And Pharmaceuticals, William Arnold

Sustainability Seminar Series

Fluorine incorporation into organic chemicals is ubiquitous. There are many mass produced chemicals, including pharmaceuticals, pesticides, and medical contrast agents, containing one or more fluorine atoms that are released into the environment. Upon photolysis or oxidative treatment in aquatic systems, persistent fluorinated byproducts or fluoride from pesticides and pharmaceuticals are formed depending on the type and stability of the fluorine-containing functional group. Byproduct quantification was performed using 19F-NMR and high-resolution mass spectrometry. Some motifs are persistent, generating new PFAS, while others degrade to fluoride. These results will assist in the future optimization of water treatment methods and development of pharmaceutical/pesticide …

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Introduction Of Vegetative And Reproductive Characters Into Trifolium Repens By Interspecific Hybridisation, A H. Marshall, T P.T Michaelson-Yeates, M Meredith, D H. Hides Mar 2024

Introduction Of Vegetative And Reproductive Characters Into Trifolium Repens By Interspecific Hybridisation, A H. Marshall, T P.T Michaelson-Yeates, M Meredith, D H. Hides

IGC Proceedings (1977-2023)

Interspecific hybridization between white clover (Trifolium repens L.) and ball clover (T.nigrescens) and Caucasian clover (T.ambiguum) is a means of improving the reproductive growth and persistency of T.repens. F1 hybrids between T.repens and T.nigrescens were produced without ovule culture and confirmed as true hybrids by chromosome counts, isoenzyme analysis and leaf markers. Their growth habit was generally intermediate between the two parents. After backcrossing to T.repens the BC1 and BC2 hybrids had more of the characteristics associated with T.repens though they retained some of the greater reproductive growth of …

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Colchicine-Doubling Of Germinating Seedlings Of Interspecific Wildrye Hybrids, T A. Jones, D C. Nielson, H Jaussi Mar 2024

Colchicine-Doubling Of Germinating Seedlings Of Interspecific Wildrye Hybrids, T A. Jones, D C. Nielson, H Jaussi

IGC Proceedings (1977-2023)

Colchicine has usually been applied to sterile clones of interspecific grass hybrids to restore fertility. However, when hybrids are partially fertile, colchicine can be applied to germinating seedlings. Four populations of Basin wildrye (Leymus cinereus) X beardless wildrye (L. triticoides) were treated with a 0.2% colchicine solution to double chromosome number from 4x=28 to 8x=56. Doubling percentage was 28, 33, 42, and 44% of all root-tips examined for the four populations. When plants without doubled sectors were discarded, doubling percentage increased to 56, 68, 78, and 78%. Plants with doubled sectors have been placed in crossing blocks …

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Magnetic Activity Of Radio Stars Based On Tess And Lamost Surveys, Yinpeng Wang, Liyun Zhang, Tianhao Su, Xianming Han, Prabhakar Misra Mar 2024

Magnetic Activity Of Radio Stars Based On Tess And Lamost Surveys, Yinpeng Wang, Liyun Zhang, Tianhao Su, Xianming Han, Prabhakar Misra

Astronomy and Physics

Stellar flares serve as crucial indicators stellar magnetic activity. Radio emissions were detectable across all stages of stellar evolution. We define radio stars in our paper as stars with radio continuum emission in the frequency region of about 1.4–375 GHz from the catalog published by Wendker (1995, A&AS, 109, 177; 2015, VizieR Online Data Catalog, VIII/99). We also include de- tected radio stars from the LOFAR Two-metre Sky Survey (LoTSS) and the Australian Square Kilometre Array Pathfinder (ASKAP), and VLA Sky Survey (VLASS) surveys, and present comparative discussions. We used the light curves from the Transiting Exoplanet Survey Satellite (TESS) …

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Reversible O–H Bond Activation By Tripodal Tris(Nitroxide) Aluminum And Gallium Complexes, Joseph S. Scott , '22, Mika L. Maenaga , '21, Audra J. Woodside , '19, Vivian W. Guo , '26, Alex R. Cheriel , '24, M. R. Gau, Paul R. Rablen, Christopher R. Graves Mar 2024

Reversible O–H Bond Activation By Tripodal Tris(Nitroxide) Aluminum And Gallium Complexes, Joseph S. Scott , '22, Mika L. Maenaga , '21, Audra J. Woodside , '19, Vivian W. Guo , '26, Alex R. Cheriel , '24, M. R. Gau, Paul R. Rablen, Christopher R. Graves

Chemistry & Biochemistry Faculty Works

Herein, we report the preparation and characterization of the Group 13 metal complexes of a tripodal tris(nitroxide)-based ligand, designated (TriNOx³⁻)M (M = Al (1), Ga (2), In (3)). Complexes 1 and 2 both activate the O–H bond of a range of alcohols spanning a ∼10 pKₐ unit range via an element-ligand cooperative pathway to afford the zwitterionic complexes (HTriNOx²⁻)M–OR. Structures of these alcohol adduct products are discussed. We demonstrate that the thermodynamic and kinetic aspects of the reactions are both influenced by the identity of the metal, with 1 having higher reaction equilibrium constants and proceeding at a …

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Towards The Design And Evaluation Of Clickbait Education Content: Leveraging User Mental Models And Learning Science Principles, A. Shrestha, A. Flood, B. Hackler, Arezou Behfar, M. N. Al-Ameen Mar 2024

Towards The Design And Evaluation Of Clickbait Education Content: Leveraging User Mental Models And Learning Science Principles, A. Shrestha, A. Flood, B. Hackler, Arezou Behfar, M. N. Al-Ameen

Computer Science Student Research

Clickbait refers to sensationalized or misleading post on social networking sites (e.g., Facebook) that can trick users into clicking on malicious links. Clickbait is often used in cyberattacks, especially to conduct 'social engineering attacks' that direct users to malicious websites, resulting in disclosure of users' personal information or installing malicious software (i.e., malware). Thus, clickbait has become a major security concern with the recent boom in social media use. Therefore, security education has become necessary more than ever for the safe and secure use of social media, where there is dearth in security education literature to explore how we could …

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Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito Mar 2024

Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito

Progress in Scale Modeling, an International Journal

This article was written to introduce philosophical background of scale modeling, where Zen philosophy was applied to overcome the limitation of logical thinking and hypotheses-driven deductive science. Three specific reasons are as follows. The first is related to the law approach in scale modeling; it uses the kufu principle, originated in Zen Buddhism, together with the other three scientific methods: experimental, theoretical, and computational. The second reason is because scale modeling seeks relativistic understanding by attempting to realize similarity; the concept is closer to Eastern philosophy rather than absolute understanding cultivated by deductive science. The third is in the educational …

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03.04.2024 Orsp Connect, Liz Williamson Mar 2024

03.04.2024 Orsp Connect, Liz Williamson

ORED Newsletter

ORSP On-demand Training for PIs, Liz Williamson spotlight, Grant for Studying Clean Energy Production Awarded, NIH Simplified Peer Review Framework.

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Adsorption Of Crystal Violet Dye From Synthetic Wastewater By Ball-Milled Royal Palm Leaf Sheath, Neloy Sen, Nawrin Rahman Shefa, Kismot Reza, Sk Md Ali Zaker Shawon, Md. Wasikur Rahman Mar 2024

Adsorption Of Crystal Violet Dye From Synthetic Wastewater By Ball-Milled Royal Palm Leaf Sheath, Neloy Sen, Nawrin Rahman Shefa, Kismot Reza, Sk Md Ali Zaker Shawon, Md. Wasikur Rahman

Physics & Astronomy Faculty Publications

The current study shows that using a batch approach to remove crystal violet dye from synthetic wastewater is feasible when using royal palm leaf sheath powder as an adsorbent. In order to investigate the effects of many parameters, including starting concentration, pH effect, dye concentration, adsorbent dose, contact time, and temperature, experiments were carried out under various operating conditions. Maximum removal was obtained at pH 6 and at a concentration of 100 ppm, which are considered as ideal values. The influence of pH and dye concentration was shown to be substantial. Langmuir, Freundlich, and Temkin isotherm models were fitted to …

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Treatment And Mortality Following Cancer Diagnosis Among People With Non-Affective Psychotic Disorders In Ontario, Canada: A Retrospective Cohort Study, Jared C. Wootten, Lucie Richard, Melody Lam, Phillip S. Blanchette, Marco Solmi, Kelly K. Anderson Mar 2024

Treatment And Mortality Following Cancer Diagnosis Among People With Non-Affective Psychotic Disorders In Ontario, Canada: A Retrospective Cohort Study, Jared C. Wootten, Lucie Richard, Melody Lam, Phillip S. Blanchette, Marco Solmi, Kelly K. Anderson

Epidemiology and Biostatistics Publications

Background and Hypothesis People with psychotic disorders have a higher risk of mortality following cancer diagnosis, compared to people without psychosis. The extent to which this disparity is influenced by differences in cancer-related treatment is currently unknown. We hypothesized that, following a cancer diagnosis, people with psychotic disorders were less likely to receive treatment and were at higher risk of death than those without psychosis. Study Design We constructed a retrospective cohort of cases of non-affective psychotic disorder (NAPD) and a general population comparison group, using Ontario Health (OH) administrative data. We identified cases of all cancers diagnosed between 1995 …

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How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal Mar 2024

How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal

The Qualitative Report

Qualitative researchers can benefit from using generative artificial intelligence (GenAI), such as different versions of ChatGPT—GPT-3.5 or GPT-4, Google Bard—now renamed as a Gemini, and Bing Chat—now renamed as a Copilot, in their studies. The scientific community has used artificial intelligence (AI) tools in various ways. However, using GenAI has generated concerns regarding potential research unreliability, bias, and unethical outcomes in GenAI-generated research results. Considering these concerns, the purpose of this commentary is to review the current use of GenAI in qualitative research, including its strengths, limitations, and ethical dilemmas from the perspective of critical appraisal from South Asia, Nepal. …

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A Shining Star In The Field Of Astronomy, Erik Johnson Mar 2024

A Shining Star In The Field Of Astronomy, Erik Johnson

Natural Science Faculty

Humans have observed stars since prehistory. Although Earth's rotation and orbit adjust where they are in the sky each night, they appear to be fixed in place relative to each other. This allowed people to recognize consistent patterns over time which we now identify as constellations.

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Development Of An Integrated Workflow For Nucleosome Modeling And Simulations, Ran Sun Mar 2024

Development Of An Integrated Workflow For Nucleosome Modeling And Simulations, Ran Sun

Doctoral Dissertations

Nucleosomes are the building blocks of eukaryotic genomes and thus fundamental to to all genetic processes. Any protein or drug that binds DNA must either cooperate or compete with nucleosomes. Given that a nucleosome contains 147 base pairs of DNA, there are approximately 4^147 or 10^88 possible sequences for a single nucleosome. Exhaustive studies are not possible. However, genome wide association studies can identify individual nucleosomes of interest to a specific mechanism, and today's supercomputers enable comparative simulation studies of 10s to 100s of nucleosomes. The goal of this thesis is to develop and present and end-to-end workflow that serves …

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On Skew-Symmetric Splitting And Entropy Conservation Schemes For The Euler Equations, Björn Sjögreen, H.C. Yee Mar 2024

On Skew-Symmetric Splitting And Entropy Conservation Schemes For The Euler Equations, Björn Sjögreen, H.C. Yee

United States National Aeronautics and Space Administration: Publications

The Tadmor type of entropy conservation formulation for the Euler equations and various skew-symmetric splittings of the inviscid flux derivatives are discussed. Numerical stability of high order central and Padé type (centered compact) spatial discretization is enhanced through the application of these formulations. Numerical test on a 2-D vortex convection problem indicates that the stability and accuracy of these formulations using the same high order central spatial discretization are similar for vortex travel up to a few periods. For two to three times longer time integrations, their corresponding stability and accuracy behaviors are very different. The goal of this work …

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A Characterization Of The Operator Entropy In Terms Of An Isometry Property Related To Trace Norms, Ryo Inayoshi Mar 2024

A Characterization Of The Operator Entropy In Terms Of An Isometry Property Related To Trace Norms, Ryo Inayoshi

Journal of Stochastic Analysis

No abstract provided.

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A Social-Aware Gaussian Pre-Trained Model For Effective Cold-Start Recommendation, Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis Mar 2024

A Social-Aware Gaussian Pre-Trained Model For Effective Cold-Start Recommendation, Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis

Machine Learning Faculty Publications

The use of pre-training is an emerging technique to enhance a neural model's performance, which has been shown to be effective for many neural language models such as BERT. This technique has also been used to enhance the performance of recommender systems. In such recommender systems, pre-training models are used to learn a better initialisation for both users and items. However, recent existing pre-trained recommender systems tend to only incorporate the user interaction data at the pre-training stage, making it difficult to deliver good recommendations, especially when the interaction data is sparse. To alleviate this rcommon data sparsity issue, we …

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Considering The Impact Framework To Understand The Ai-Well-Being-Complex From An Interdisciplinary Perspective, Christian Montag, Preslav Nakov, Raian Ali Mar 2024

Considering The Impact Framework To Understand The Ai-Well-Being-Complex From An Interdisciplinary Perspective, Christian Montag, Preslav Nakov, Raian Ali

Natural Language Processing Faculty Publications

Artificial intelligence (AI) is built into many products and has the potential to dramatically impact societies around the world. This short theoretical paper aims to provide a simple framework that might help us understand how the introduction and/or use of products with AI might influence the well-being of humans. It is proposed that considering the dynamic Interplay between variables stemming from Modality, Person, Area, Culture and Transparency categories will help to understand the influence of AI on well-being. The Modality category encompasses areas such as the degree of AI being interactive, informational versus actualizing, or autonomous. The Person variable contains …

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Smart Cities And Aging Well: Exploring The Links Between Technological Models And Social Models For Promoting Daily Social Interaction For Geriatric Care, Jocelyne Kiss, Lindenwood University Mar 2024

Smart Cities And Aging Well: Exploring The Links Between Technological Models And Social Models For Promoting Daily Social Interaction For Geriatric Care, Jocelyne Kiss, Lindenwood University

Faculty Scholarship

The aging global population requires a new social model to meet the growing social, economic, and physical needs of seniors. Western social models need to be reconsidered in light of examples that support communal ways of living, which are sustainable through smart city design for more supportive geriatric care systems. To address the complex problems of geriatric care in this growing aging population with specific needs related to increased lifespan and limited financial resources, the use of emerging technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), should be considered. As retirement ages rise and funds for …

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