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2022

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(R1953) M-Regression Estimation With The K Nearest Neighbors Smoothing Under Quasi-Associated Data In Functional Statistics, Bellatrach Nadjet, Bouabsa Wahiba, Attouch Mohammed Kadi, Fetitah Omar Dec 2022

(R1953) M-Regression Estimation With The K Nearest Neighbors Smoothing Under Quasi-Associated Data In Functional Statistics, Bellatrach Nadjet, Bouabsa Wahiba, Attouch Mohammed Kadi, Fetitah Omar

Applications and Applied Mathematics: An International Journal (AAM)

The main goal of this paper is to study the non parametric M-estimation under quasi-associated sequence with the k Nearest Neighbor’s method shortly (kNN). We construct an estimator of this nonparametric function and we study its asymptotic properties. Furthermore, a comparison study based on simulated data is also provided to illustrate the highly sensitive of the kNN approach to the presence of even a small proportion of outliers in the data.

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December 2022: Region 10 Emerging Special Pathogen Treatment Center (Resptc) At Providence Sacred Heart Medical Center & Children’S Hospital, Providence - Special Pathogens Program Dec 2022

December 2022: Region 10 Emerging Special Pathogen Treatment Center (Resptc) At Providence Sacred Heart Medical Center & Children’S Hospital, Providence - Special Pathogens Program

Special Pathogens Newsletters

REGION 10 SPECIAL PATHOGENS NEWSLETTER

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Minutes, December 2022, University Of Dayton. College Of Arts And Sciences Dec 2022

Minutes, December 2022, University Of Dayton. College Of Arts And Sciences

Documents of the College of Arts and Sciences Academic Affairs Committee

Minutes from organizational meeting for Academic Affairs Committee

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Direction, Not Detail: Progress Towards Consensus At The Fourth Intergovernmental Conference On Biodiversity Beyond National Jurisdiction, Elizabeth Mendenhall, Elizabeth De Santo, Mathias Jankila, Elizabeth Nyman, Rachel Tiller Dec 2022

Direction, Not Detail: Progress Towards Consensus At The Fourth Intergovernmental Conference On Biodiversity Beyond National Jurisdiction, Elizabeth Mendenhall, Elizabeth De Santo, Mathias Jankila, Elizabeth Nyman, Rachel Tiller

Marine Affairs Faculty Publications

After a two year delay caused by the COVID-19 pandemic, the fourth intergovernmental conference (IGC-4) in the negotiations for a new UN treaty to address the conservation and sustainable management of biodiversity beyond national jurisdiction (BBNJ) took place in March 2022. This meeting differed substantially from previous IGCs in terms of process, with much of the discussions occurring in ‘informal informals,’ or off-the-record meetings open only to delegates and registered observers. Additionally, in-person participation was extremely limited and observers only had access to web broadcasts, i.e., no in-person interactions with delegates. A draft text of the treaty was circulated in …

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How To Present Your Research Professionally And With Confidence, Mary Garofalo Dec 2022

How To Present Your Research Professionally And With Confidence, Mary Garofalo

General Research

Now that your research has been accepted and you have prepared your presentation, it’s time to start practicing. Public speaking is often a very daunting task. Even seasoned professionals have anxiety around speaking to a room full of people. This fear can be compounded by first-time jitters, imposter syndrome, or other invasive thoughts. Breathe. Everyone has been in your shoes. In the meantime, here are some strategies to cut down your anxiety, boost your confidence, and help you communicate your brilliant research in the most clear and articulate manner.

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Abundance And Territory Location Data Of Forest Songbirds To Determine Effects Of Pipeline Collocation As A Mitigation Strategy, Lillie Langlois Dec 2022

Abundance And Territory Location Data Of Forest Songbirds To Determine Effects Of Pipeline Collocation As A Mitigation Strategy, Lillie Langlois

All Data Sets

These data were collected for the purpose of determining potential ecological costs associated with a mitigation strategy used in shale gas development in the Appalachian basin. Collocation is the practice of siting new shale gas pipelines adjacent to existing surface disturbance such as forest roads to reduce habitat fragmentation and loss of core forest. These data result from spot mapping for species of songbird at paired forest road and shale gas corridors (expanded access roads collocated with pipelines) between May and July 2013 in north-central Pennsylvania, USA. The data file contains nine sheets that report data from different pieces of …

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Interview With Wendy Keller, Utah State University Special Collections & Archives Dec 2022

Interview With Wendy Keller, Utah State University Special Collections & Archives

Utah State University COVID-19 Oral History Collection

No abstract provided.

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A Case Of Transverse Myelitis Secondary To Covid-19 Infection, Rahul Borra, Neal T. Patel, Raheel Shaikh, Mayur S. Parmar, Sujatha Borra Dec 2022

A Case Of Transverse Myelitis Secondary To Covid-19 Infection, Rahul Borra, Neal T. Patel, Raheel Shaikh, Mayur S. Parmar, Sujatha Borra

HPD Articles

Infection with COVID-19 (SARS-CoV-2) is associated with a variety of generalized and specific symptoms, including neurological complications of both the peripheral and central nervous systems. In this case report, we present the case of a previously healthy 55-year-old woman who was diagnosed with transverse myelitis following a previous infection with COVID-19. MRI showed progressive demyelination of the cervical and thoracic spinal cord, and cerebrospinal fluid (CSF) showed increased levels of protein and red blood cells and no markers of infection, including negative polymerase chain reaction (PCR) for COVID-19 antibodies. The patient was treated with a course of methylprednisolone, multiple treatments …

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Impact Of Digital Twins And Metaverse On Cities: History, Current Situation, And Application Perspectives, Zhihan Lv, Wen Long Shang, Mohsen Guizani Dec 2022

Impact Of Digital Twins And Metaverse On Cities: History, Current Situation, And Application Perspectives, Zhihan Lv, Wen Long Shang, Mohsen Guizani

Machine Learning Faculty Publications

To promote the expansion and adoption of Digital Twins (DTs) in Smart Cities (SCs), a detailed review of the impact of DTs and digitalization on cities is made to assess the progression of cities and standardization of their management mode. Combined with the technical elements of DTs, the coupling effect of DTs technology and urban construction and the internal logic of DTs technology embedded in urban construction are discussed. Relevant literature covering the full range of DTs technologies and their applications is collected, evaluated, and collated, relevant studies are concatenated, and relevant accepted conclusions are summarized by modules. First, the …

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Resel: N-Ary Relation Extraction From Scientific Text And Tables By Learning To Retrieve And Select, Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang Dec 2022

Resel: N-Ary Relation Extraction From Scientific Text And Tables By Learning To Retrieve And Select, Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

Machine Learning Faculty Publications

We study the problem of extracting N-ary relation tuples from scientific articles. This task is challenging because the target knowledge tuples can reside in multiple parts and modalities of the document. Our proposed method RESEL decomposes this task into a two-stage procedure that first retrieves the most relevant paragraph/table and then selects the target entity from the retrieved component. For the high-level retrieval stage, RESEL designs a simple and effective feature set, which captures multilevel lexical and semantic similarities between the query and components. For the low-level selection stage, RESEL designs a cross-modal entity correlation graph along with a multi-view …

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Efficient (Soft) Q-Learning For Text Generation With Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu Dec 2022

Efficient (Soft) Q-Learning For Text Generation With Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

Machine Learning Faculty Publications

Maximum likelihood estimation (MLE) is the predominant algorithm for training text generation models. This paradigm relies on direct supervision examples, which is not applicable to many emerging applications, such as generating adversarial attacks or generating prompts to control language models. Reinforcement learning (RL) on the other hand offers a more flexible solution by allowing users to plug in arbitrary task metrics as reward. Yet previous RL algorithms for text generation, such as policy gradient (on-policy RL) and Q-learning (off-policy RL), are often notoriously inefficient or unstable to train due to the large sequence space and the sparse reward received only …

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Amp: Automatically Finding Model Parallel Strategies With Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang Dec 2022

Amp: Automatically Finding Model Parallel Strategies With Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang

Machine Learning Faculty Publications

Scaling up model sizes can lead to fundamentally new capabilities in many machine learning (ML) tasks. However, training big models requires strong distributed system expertise to carefully design model-parallel execution strategies that suit the model architectures and cluster setups. In this paper, we develop AMP, a framework that automatically derives such strategies. AMP identifies a valid space of model parallelism strategies and efficiently searches the space for high-performed strategies, by leveraging a cost model designed to capture the heterogeneity of the model and cluster specifications. Unlike existing methods, AMP is specifically tailored to support complex models composed of uneven layers …

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Unpaired Image-To-Image Translation With Density Changing Regularization, Shaoan Xie, Qirong Ho, Kun Zhang Dec 2022

Unpaired Image-To-Image Translation With Density Changing Regularization, Shaoan Xie, Qirong Ho, Kun Zhang

Machine Learning Faculty Publications

Unpaired image-to-image translation aims to translate an input image to another domain such that the output image looks like an image from another domain while important semantic information are preserved. Inferring the optimal mapping with unpaired data is impossible without making any assumptions. In this paper, we make a density changing assumption where image patches of high probability density should be mapped to patches of high probability density in another domain. Then we propose an efficient way to enforce this assumption: we train the flows as density estimators and penalize the variance of density changes. Despite its simplicity, our method …

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On Pac Learning Halfspaces In Non-Interactive Local Privacy Model With Public Unlabeled Data, Jinyan Su, Jinhui Xu, Di Wang Dec 2022

On Pac Learning Halfspaces In Non-Interactive Local Privacy Model With Public Unlabeled Data, Jinyan Su, Jinhui Xu, Di Wang

Machine Learning Faculty Publications

In this paper, we study the problem of PAC learning halfspaces in the non-interactive local differential privacy model (NLDP). To breach the barrier of exponential sample complexity, previous results studied a relaxed setting where the server has access to some additional public but unlabeled data. We continue in this direction. Specifically, we consider the problem under the standard setting instead of the large margin setting studied before. Under different mild assumptions on the underlying data distribution, we propose two approaches that are based on the Massart noise model and self-supervised learning and show that it is possible to achieve sample …

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Help Or Hindrance: How Social Media Affects The Selection And Hiring Processes Of Businesses, Alexandra Krska Dec 2022

Help Or Hindrance: How Social Media Affects The Selection And Hiring Processes Of Businesses, Alexandra Krska

Management Undergraduate Honors Theses

Continually, young people have been advised to be conscientious of the imagery they put on social media regarding their personal lives in preparation for employment selection. However, the use of social media in the selection process may cause Human Resource professionals to have inadvertent biases toward candidates among other moral and ethical issues. Through extensive research of the thoughts and actions of a plethora of different corporate professionals, I will analyze whether using social media as a tool in the selection process authentically produces positive unbiased results, or whether social media poses more ethical issues. With the hopes to create …

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Interview With Mike Legaspi, Andrea Generalao Dec 2022

Interview With Mike Legaspi, Andrea Generalao

Immigrant Leaders

An interview with Mike Legaspi, an immigrant leader from Migrante. The interview covers life before immigrating, arrival and integration, and political participation.

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Understanding The Dynamics Of The Structural States Of Cannabinoid Receptors And The Role Of Different Modulators, Anjela Manandhar, Mona H. Haron, Michael L. Klein, Khaled Elokely Dec 2022

Understanding The Dynamics Of The Structural States Of Cannabinoid Receptors And The Role Of Different Modulators, Anjela Manandhar, Mona H. Haron, Michael L. Klein, Khaled Elokely

Faculty and Student Publications

The cannabinoid receptors CB1R and CB2R are members of the G protein-coupled receptor (GPCR) family. These receptors have recently come to light as possible therapeutic targets for conditions affecting the central nervous system. However, because CB1R is known to have psychoactive side effects, its potential as a drug target is constrained. Therefore, targeting CB2R has become the primary focus of recent research. Using various molecular modeling studies, we analyzed the active, inactive, and intermediate states of both CBRs in this study. We conducted in-depth research on the binding properties of various groups of cannabinoid modulators, including agonists, antagonists, and inverse …

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A Cybersecurity Assessment Of Health Data Ecosystems, Michelle N. Halsey Dec 2022

A Cybersecurity Assessment Of Health Data Ecosystems, Michelle N. Halsey

Cyber Operations and Resilience Program Graduate Projects

This paper is an exploratory study that investigates data collected and used by health plans and reviews the laws and regulations governing this data to identify the gaps in protections and provide recommendations for eliminating these gaps. Health insurance companies collect a wide array of data about the people they insure, data that is often only peripherally relevant to the service these companies provide. The data environment currently consists of seven categories of data: personal health information, summary health information, personally identifiable information, financial information, professional information, biometric information, and lifestyle data or social indicators of health. Much of this …

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Teacher Perceptions Of Tier 2 Reading Interventions, Marlena Robinson Dec 2022

Teacher Perceptions Of Tier 2 Reading Interventions, Marlena Robinson

Dissertations (2016-Present)

Many students in schools in the United States today are considered at-risk in their reading ability. The disproportionate number of students making inadequate progress places the fate of students at stake. Response to Intervention (RTI) was created to support student growth in reading while reducing the number of students requiring testing for disabilities. This study aims to examine teacher perceptions of RTI reading interventions. Specifically, this study will be concerned with the effects of Tier 2 reading interventions by examining their perceptions of professional development, data and progress monitoring, resources, and support surrounding reading interventions. While an extensive body of …

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Self-Efficacy Perceptions Of Middle School Reading Teachers In Majority Minority Inclusive Classrooms On Their Ability To Achieve Students Success., Debra Jean Lewis Dec 2022

Self-Efficacy Perceptions Of Middle School Reading Teachers In Majority Minority Inclusive Classrooms On Their Ability To Achieve Students Success., Debra Jean Lewis

Dissertations (2016-Present)

According to the U.S. Department of Education National Center for Education Statistics (NCES, 2022), the number of students who require special accommodations in the classroom continues to increase. Because studies have shown that positive outcomes for students are directly linked to the self-efficacy of educators (Lotter et al., 2018; Neugebauer et al., 2019), educators who serve these populations must possess high levels of positive self-efficacy to handle the challenges associated with inclusive settings and specialized skills needed to achieve student success. The purpose of this study, which was guided and supported by the Social Cognitive Theory (Bandura, 1986), was to …

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Conceiving Consistency: Giving Birth To A Uniform "Best Interests Of The Child" Standard, Victoria L. Pepe Dec 2022

Conceiving Consistency: Giving Birth To A Uniform "Best Interests Of The Child" Standard, Victoria L. Pepe

Hofstra Law Review

The article address the lack of consistency surrounding the best interests of the child (BIOTC) standard as it has been used in child legal custody adversarial proceedings. It mentions lack of consistency surrounding the BIOTC standard as it has been used in child legal custody adversarial proceedings. It also mentions need to incorporate child welfare data from across the U.S., legal scholarship, and case law to determine which state factors or tests.

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Experimental Identification Of Aminomethanol (Nh2ch2oh)—The Key Intermediate In The Strecker Synthesis, Santosh K. Singh, Cheng Zhu, Jesse La Jeunesse, Ryan C. Fortenberry, Ralf I. Kaiser Dec 2022

Experimental Identification Of Aminomethanol (Nh2ch2oh)—The Key Intermediate In The Strecker Synthesis, Santosh K. Singh, Cheng Zhu, Jesse La Jeunesse, Ryan C. Fortenberry, Ralf I. Kaiser

Faculty and Student Publications

The Strecker Synthesis of (a)chiral α-amino acids from simple organic compounds, such as ammonia (NH3), aldehydes (RCHO), and hydrogen cyanide (HCN) has been recognized as a viable route to amino acids on primordial earth. However, preparation and isolation of the simplest hemiaminal intermediate – the aminomethanol (NH2CH2OH)– formed in the Strecker Synthesis to even the simplest amino acid glycine (H2NCH2COOH) has been elusive. Here, we report the identification of aminomethanol prepared in low-temperature methylamine (CH3NH2) – oxygen (O2) ices upon exposure to energetic electrons. Isomer-selective photoionization time-of-flight mass spectrometry (PI-ReTOF-MS) facilitated the gas phase detection of aminomethanol during the temperature …

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Development Of The Spur Tool: A Profiling Instrument For Patient Treatment Behavior, Béatrice Tugaut, Selam Shah, Kevin Dolgin, Hanna Rebibo Seror, Benoit Arnould, Marie Eve Laporte, Aaron Lee, Lydiane Nabec, Reem Kayyali, Joshua Wells, John D. Piette, Guillaume Hubert Dec 2022

Development Of The Spur Tool: A Profiling Instrument For Patient Treatment Behavior, Béatrice Tugaut, Selam Shah, Kevin Dolgin, Hanna Rebibo Seror, Benoit Arnould, Marie Eve Laporte, Aaron Lee, Lydiane Nabec, Reem Kayyali, Joshua Wells, John D. Piette, Guillaume Hubert

Faculty and Student Publications

Background: Long-term treatment adherence is a worldwide concern, with nonadherence resulting from a complex interplay of behaviors and health beliefs. Determining an individual’s risk of nonadherence and identifying the drivers of that risk are crucial for the development of successful interventions for improving adherence. Here, we describe the development of a new tool assessing a comprehensive set of characteristics predictive of patients’ treatment adherence based on the Social, Psychological, Usage and Rational (SPUR) adherence framework. Concepts from existing self-reporting tools of adherence-related behaviors were identified following a targeted MEDLINE literature review and a subset of these concepts were then selected …

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Politicizing The Pandemic: Covid-19 And Its Impact On The Nigerian Economy, John Shola Olanrewaju, Agaptus Nwozor, Ajibola Abdulwasiu Abdulrahaman Dec 2022

Politicizing The Pandemic: Covid-19 And Its Impact On The Nigerian Economy, John Shola Olanrewaju, Agaptus Nwozor, Ajibola Abdulwasiu Abdulrahaman

Faculty and Student Open Access Publications

This study aims to examine the connection between international politics that characterized the outbreak of COVID-19, mainly between the United States of America and China and the devastating impact of the second wave outbreak on the Nigerian economy. At the initial stage of the pandemic on the Chinese mainland, the economy of China experienced a significant decline. The efficacy of China’s response to COVID-19 led to a fractional economic recovery during the pandemic. However, the internationalization of COVID-19 was greeted with a second wave in most advanced countries, such as the United States of America, Italy, and the United Kingdom, …

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Shared Genomic Architectures Of Covid-19 And Antisocial Behavior, Charleen D. Adams, Jorim J. Tielbeek, Brian B. Boutwell Dec 2022

Shared Genomic Architectures Of Covid-19 And Antisocial Behavior, Charleen D. Adams, Jorim J. Tielbeek, Brian B. Boutwell

Faculty and Student Publications

Little is known about the genetics of norm violation and aggression in relation to coronavirus disease 2019 (COVID-19). To investigate this, we used summary statistics from genome-wide association studies and linkage disequilibrium score regression to calculate a matrix of genetic correlations (rgs) for antisocial behavior (ASB), COVID-19, and various health and behavioral traits. After false-discovery rate correction, ASB was genetically correlated with COVID-19 (rg = 0.51; P = 1.54E-02) and 19 other traits. ASB and COVID-19 were both positively genetically correlated with having a noisy workplace, doing heavy manual labor, chronic obstructive pulmonary disease, and genitourinary diseases. ASB and COVID-19 …

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Comparing Shaping Ability Of Fanta, Onecurve, And Protaper Next Ni-Ti Rotary Files Systems., Soliman N. Mansour, Maram Obeid, Tariq Yehia Dec 2022

Comparing Shaping Ability Of Fanta, Onecurve, And Protaper Next Ni-Ti Rotary Files Systems., Soliman N. Mansour, Maram Obeid, Tariq Yehia

Mansoura Journal of Dentistry

Objective: To compare the shaping ability of Fanta, One Curve, and Pro Taper Next Ni-Ti rotary file systems. Materials and Methods: Sixty Mandibular molars with mesiobuccal canals with curvatures ranging between 20° and 40° were divided into three groups of 20 teeth each. a group for each system as follows: group 1 was prepared by Fanta file system, group 2 was prepared by Pro Taper Next file system, and group 3 was prepared by One Curve file system. The measuring of canal curvatures was determined by Schneider's method using standardized periapical radiographs and the Image J software. Pre and post-CBCT …

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Comparative Study Of Protrusive Record Accuracy With And Without George Gauge For Dentulous Cases, Aisha Z. Mostafa, Noha H. El-Shaheed Dec 2022

Comparative Study Of Protrusive Record Accuracy With And Without George Gauge For Dentulous Cases, Aisha Z. Mostafa, Noha H. El-Shaheed

Mansoura Journal of Dentistry

Objective: This study aimed to evaluate the accuracy of the George gauge in protrusive records. Materials and Methods: This clinical trial includes a total of 12 dentulous subjects aged 20 to 40 years with no signs of muscular disease or temporomandibular joint disorders were chosen. For each patient, two different protrusive records were created, one with and one without the George gauge, using polyvinyl siloxane materials. The accuracy of these two protrusive records was evaluated by measuring the amount of midline shift in both records with a digital calliper. Then these Protrusive records were used to programme the articulator and …

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New Music Ensemble, Old Dominion University New Music Ensemble, Andrey Kasparov (Director), Oksana Lutsyshyn (Guest Artist) Dec 2022

New Music Ensemble, Old Dominion University New Music Ensemble, Andrey Kasparov (Director), Oksana Lutsyshyn (Guest Artist)

Ensemble Performances

No abstract provided.

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Soft Metal Versus Laser Melting Metal Framework Used For Mandibular All On Four Implant Supported Fixed Complete Denture, Noha H. Rashed, Noha H. El Shaheed, Wael M. Said Ahmed, Salah A. Hegazy Dec 2022

Soft Metal Versus Laser Melting Metal Framework Used For Mandibular All On Four Implant Supported Fixed Complete Denture, Noha H. Rashed, Noha H. El Shaheed, Wael M. Said Ahmed, Salah A. Hegazy

Mansoura Journal of Dentistry

Objective: To radiographically evaluate the peri-implant bone height changes eri-implantin mandibular all on-four implant supported fixed complete denture (ISFCD) regarding metal framework fabrication technique either with milling from soft metal block or additive manufacturing using laser melting. Materials and Methods: Ten completely edentulous patients were rehabilitated with mandibular all on-four ISFCD. Computer-guided surgical procedures were followed for placement of implants. Patients were allocated randomly into two groups according to the framework fabrication technique. Group I frameworks were milled from soft metal block and group II frameworks were fabricated with additive manufacturing using laser melting. Vertical bone height changes around supporting …

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Solidarity Federalism, Erin F. Delaney, Ruth Mason Dec 2022

Solidarity Federalism, Erin F. Delaney, Ruth Mason

Notre Dame Law Review

Studies of federalism, especially in the United States, have mostly centered on state autonomy and the vertical relationship between the states and the federal government. This Article approaches federalism from a different perspective, one that focuses on state solidarity. We explain how solidarity structures found in constitutional federations—including the United States—generate solidarity obligations, such as duties not to harm other states or their citizens. These duties give rise to principles, such as nondiscrimination, that are vital to federalism. Focusing on interstate relations and relations between states and citizens of other states, we argue that affirming both solidarity and autonomy as …

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