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From Nothing To No-Thing-Ness To Emptiness: The Buddhist Recycling Of An Old Jain Saying, Dhivan Thomas Jones

The Indian International Journal of Buddhist Studies

In this article I investigate a difficult saying of the Buddha, preserved in three places in Pāli canonical discourses: n’ āhaṃ kvacani kassaci kiñcanatasmiṃ, na ca mama kvacani kismiñci kiñcanat’ atthi (‘There is no I anywhere in anyone’s property, and neither is there anywhere in anything property which is mine’). At A 3: 70, this saying is attributed to the Jains, while at A 4: 185, the Buddha teaches it as a ‘brahman truth’ acceptable to paribbājakas, and at M 106, the Buddha teaches it as a means of attaining the experiential dimension of no-thing-ness (ākiñcaññāyatana). I …

The Sa Sakya Pa View Of A Yogin's Direct Perception, Based On Sa Skya Paṇḍita's Tshad Ma Rigs Gter And His Auto-Commentary, Along With Go Rams Pa, Gyag Ston, And Glo Bo Mkhan's Sub-Commentaries, Bruce J. Steward

The Indian International Journal of Buddhist Studies

None

The Validity Study Of A Channel-Based Demand Estimation Anp Model, Yasamin Salmani, Fariborz Y. Partovi

Management Department Faculty Journal Articles

This paper suggests a solution for validating an ANP model in multi-channel retailing proposed by Salmani et al. (2018) through its application in the pet consumables industry. The purpose of the proposed ANP model is to develop a measurement for estimating the demand proportion attributed to each established sales channel. Utilizing an ANP model, channel selection customer criteria as well as the interrelations between channel structures in a multi-channel setting are quantified. This paper applies a survey-based study to collect data from random pet consumable customers. Using a compatibility measurement, per-channel proportions of demand found by ANP are compared with …

Imc And Journalism Professors Lead Students Abroad, Mackenzie Ross

University of Mississippi News

37 students travel with professors for once-in-a-lifetime opportunity in Spain

Unmet Needs And Coping Strategies Of Older Underserved Veterans During The Covid-19 Pandemic, Trenton M. Haltom, Joyce Tiong, Tracy L. Evans, Nipa Kamdar, Gala True, Mark E. Kunik

School of Medicine Faculty Publications

Introduction: The COVID-19 pandemic has had profound impacts on people with diabetes, a group with high morbidity and mortality. Factors like race, age, income, Veteran-status, and limited or interrupted resources early in the COVID-19 pandemic compounded risks for negative health outcomes. Our objective was to characterize the experiences and needs of under-resourced Veterans with type 2 diabetes during the COVID-19 pandemic. Methods: We conducted semi-structured qualitative interviews (March through September 2021) with U.S. military Veterans with diabetes. Transcripts were analyzed using a team-based, iterative process of summarizing and coding to identify key themes. Participants included Veterans (n = 25) who …

Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat

School of Medicine Publications

Increased vascular permeability is a frequent outcome of viperid snakebite envenomation, leading to local and systemic complications. We reported that snake venom cysteine-rich secretory proteins (svCRiSPs) from North American pit vipers increase vascular permeability both in vitro and in vivo. They also induce acute activation of several adhesion and signaling molecules that may play a critical role in the pathophysiology of snakebites. Extracellular vesicles (EVs) have gained interest for their diverse functions in intercellular communication, regulating cellular processes, blood-endothelium interactions, vascular permeability, and immune modulation. They also hold potential as valuable biomarkers for diagnosing, predicting, and monitoring therapeutic responses in …

Proteomic Profiling Of Extracellular Vesicles Isolated From Plasma And Peritoneal Exudate In Mice Induced By Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat

School of Medicine Publications

Increased vascular permeability is a frequent outcome of viperid snakebite envenomation, leading to local and systemic complications. We reported that snake venom cysteine-rich secretory proteins (svCRiSPs) from North American pit vipers increase vascular permeability both in vitro and in vivo. They also induce acute activation of several adhesion and signaling molecules that may play a critical role in the pathophysiology of snakebites. Extracellular vesicles (EVs) have gained interest for their diverse functions in intercellular communication, regulating cellular processes, blood-endothelium interactions, vascular permeability, and immune modulation. They also hold potential as valuable biomarkers for diagnosing, predicting, and monitoring therapeutic responses in …

Skeletal Anatomy Of The Pectoral Fin In Mudskipper Species From Terrestrial And Aquatic Habitats, Haodong Zhou, Cassandra M. Donatelli, Odette Laneuville, Emily M. Standen

Engineering Faculty Articles and Research

Mudskippers are a group of amphibious fishes in the family Oxudercidae, whose species inhabit a range of habitats from mostly aquatic to mostly terrestrial. Most of our understanding about habitat preference comes from natural history observations, particularly where they are collected (i.e., low intertidal vs. high intertidal regions). Mudskippers have undergone several morphological changes to accommodate a terrestrial life, including major changes to the pectoral and pelvic girdles. These changes result in a novel crutching gait, which mudskippers use to move over land. Though the appendicular morphology and crutching gait of mudskippers have been described in some species, few …

Focus, 2023, Spring, Andrews University

Focus

FOCUS (ISSN 1077-9345) is published quarterly, free of charge, for alumni and friends of Andrews University, an institution owned and operated by the Seventh-day Adventist Church.

Living In The Summer, Andrea Luxton

Faculty Publications

No abstract provided.

Industrial Training And Academic Achievement Of Library And Information Science Students At The Delta State University Abraka, Sarah Okpa Josiah, Ngozi Gloria Mordi, Unwana Isaac Udoh

Library Philosophy and Practice (e-journal)

The study investigated industrial training and academic achievement of library and information science students at the Delta State University Abraka. The study adopted a descriptive survey research design using questionnaire as instrument for data collection. The population of the study consists of 223 undergraduates and Masters Students who just concluded their industrial training six months ago. A total of 223 questionnaires were distributed only 174 were retrieved. Data collected were analyzed using descriptive statistics mean and percentage mean score of 2.5 and above and percentage score of 50% were considered. The study revealed that the effects of industrial training on …

Humanities Center Annual Report 2022-23, Humanities Center, University Of San Diego

Humanities Center Annual Reports

No abstract provided.

Daily Announcements July 2023, Wofford College. Office Of Marketing And Communications

Communications Office Daily Announcements

No abstract provided.

Sixth-Kind Chebyshev Collocation Treatment Of Fractional Fredholm-Volterra Integro-Differential Equations, Mahmoud M. Mokhtar

Applied Mathematics & Information Sciences

We propose a spectral technique for solving mixed nonlinear and linear Fredholm-Volterra integro-differential equations. Our method involves transforming the problem using Simpson’s integration formula and expanding the solution as a series of sixth- kind Chebyshev polynomials. The convergence rate and estimated chopping error are analyzed, and numerical examples are provided to demonstrate the effectiveness and accuracy of the approach.

The Use Of Functional Assessment To Promote Maintenance And Institutionalization Of A Performance Management Intervention For Behavior Technicians, Daniel John Cymbal

Theses and Dissertations

In Organizational Behavior Management (OBM), any intervention is judged by its immediate effects, the long-term impact on the targeted performance, and the likelihood that the organization and/or its constituents will adopt the intervention (Sigurdsson & Austin, 2006). However, maintenance and adoption of procedures is rarely measured (Redmon, 1991). A core tenant of behavior analysis is the role of environmental stimuli in maintaining behavior, but most tactics to promote durability are not examined in this fashion (e.g., Conard et al., 2016; Johnston, 1979). A logical, but under investigated, avenue is to examine the role of functional assessment in producing durable change. …

Improving Interprofessional Value-Based Care For Residents In Skilled Nursing Facilities., Alisha Mitchell

Doctor of Nursing Practice Papers

Background/Significance: Providers may unknowingly impede residents’ equitable treatment without understanding ethnocultural diversity and values, thus preventing residents and their families from receiving care consistent with residents’ values and beliefs.

Purpose: This project aimed to improve equitable healthcare with spiritual and ethnocultural congruence integrated into care processes and workflow in a skilled nursing facility.

Methods: The Institute of Healthcare Improvement model for improvement (MFI) and an adapted evidence-based practice guideline guided the quality improvement project, implemented in one section of a 60-bed long-term care unit at a skilled nursing facility.

Practice Change: Process and care delivery workflow …

Provision Of Breast Milk After Implementation Of A Breast Milk Tracking System, Elizabeth Romero Rn, Stephanie Adam Rn, Laura Madore Md

Research and Education Celebration 2023 - Nursing Research Posters

No abstract provided.

A Snapshot Of Ece Apprenticeship Programs, Emily Sharrock, Annie Schaeffing, Lily Rosenthal, Thelma Wong

Bank Street Education Center

This publication offers a closer look at the key features of existing apprenticeship programs across the United States—such as the diversity and range of approaches to credentials, partnership models, funding, and how programs deliver quality mentoring and/or coaching support—to reimagine how program quality can be strengthened to deepen learning for participants.

Autism In Females: Understanding The Overlooked Diagnoses, Unique Challenges, And Recommendations, Piper Hutson, James Hutson

Faculty Scholarship

Autism Spectrum Condition (ASC) is a neurodevelopmental disorder that affects individuals of both sexes. However, females with ASC frequently remain undiagnosed or misdiagnosed due to a range of factors, including gender bias in the medical profession, societal expectations, and a lack of knowledge about the unique challenges they face. For instance, the gendered subset of the population often struggles with social interaction and communication, relying more on analytical thinking, which can lead to difficulty in generating acceptable responses and behaviors. At the same time, females are more adept at masking their innate behaviors associated with the condition and hyper-focus on …

A Multidisciplinary Diabetic Collaborative, Michelle Whitney Rn, Kat Boughton Boughton Pharmd, Holley Allen Md

Research and Education Celebration 2023 - Nursing Research Posters

No abstract provided.

Taylor: A Magazine For Taylor University Alumni, Parents And Friends (Summer 2023), Taylor University

The Taylor Magazine (1963-Present)

The Summer 2023 edition of Taylor Magazine, published by Taylor University in Upland, Indiana.

Implementation Of A Progressive Muscle Relaxation Intervention To Decrease Cancer Patients' Distress: A Quality Improvement Project., Theresa Thomas

Doctor of Nursing Practice Papers

Background: People affected by cancer often experience psychological distress that ultimately decreases their health, adherence to treatment, overall well-being, and quality of life. Research has shown that MBIs can reduce psychological distress, depression, and anxiety and increase quality of life. A needs assessment conducted within a local cancer support organization, Gilda’s Club Kentuckiana, has expressed the need for providing a more comprehensive range of accessible MBIs in their programming to meet their psychosocial goals by reducing psychological distress in their members. PMR is an MBI not currently used by GCK that has been proven effective at reducing anxiety, depression, and …

Isolation Of Bovine Milk-Derived Exosomes Via A Polyester Capillary- Channeled Polymer (C-Cp) Fiber Stationary Phase, Jerisa Pimentel, Carolina Mata, R. Kenneth Marcus

Chemistry Summer Research Program

No abstract provided.

Bertnet: Harvesting Knowledge Graphs With Arbitrary Relations From Pretrained Language Models, Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

Machine Learning Faculty Publications

It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations to support knowledge discovery and broad applications. Previous KG construction methods, based on either crowdsourcing or text mining, are often limited to a small predefined set of relations due to manual cost or restrictions in text corpus. Recent research proposed to use pretrained language models (LMs) as implicit knowledge bases that accept knowledge queries with prompts. Yet, the implicit knowledge lacks many desirable properties of a full-scale symbolic KG, such as easy access, navigation, editing, and quality assurance. In this paper, we propose a new approach of …

High-Probability Bounds For Stochastic Optimization And Variational Inequalities: The Case Of Unbounded Variance, Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik

Machine Learning Faculty Publications

During recent years the interest of optimization and machine learning communities in high-probability convergence of stochastic optimization methods has been growing. One of the main reasons for this is that high-probability complexity bounds are more accurate and less studied than in-expectation ones. However, SOTA high-probability non-asymptotic convergence results are derived under strong assumptions such as the boundedness of the gradient noise variance or of the objective's gradient itself. In this paper, we propose several algorithms with high-probability convergence results under less restrictive assumptions. In particular, we derive new high-probability convergence results under the assumption that the gradient/operator noise has bounded …

Conformal Prediction For Federated Uncertainty Quantification Under Label Shift, Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov

Machine Learning Faculty Publications

Federated Learning (FL) is a machine learning framework where many clients collaboratively train models while keeping the training data decentralized. Despite recent advances in FL, the uncertainty quantification topic (UQ) remains partially addressed. Among UQ methods, conformal prediction (CP) approaches provides distribution-free guarantees under minimal assumptions. We develop a new federated conformal prediction method based on quantile regression and take into account privacy constraints. This method takes advantage of importance weighting to effectively address the label shift between agents and provides theoretical guarantees for both valid coverage of the prediction sets and differential privacy. Extensive experimental studies demonstrate that this …

Interprofessional Collaboration At The Pacific Speech, Hearing, And Language Center, Ashlyn Emberley

Occupational Therapy Student Capstones

No abstract provided.

The ‘Temple Of The Holy Spirit’ & Christian Identity: Old Testament Echoes In 1 Corinthians, Sr. Amata Christi Lippert O.P.

Theology Graduate Theses

No abstract provided.

Optimizing Reliability Of Flow Networks Using Rwga Subject To Total Capacity Constraint, S. Alkhalaf, H. S. Ahmed, M. E. Hussein, M. R. Hassan, A. Mikhaylov, E. Mahmoud

Applied Mathematics & Information Sciences

The study of capacity assignment problem for multistate network is an essential and helps in finding the best set of assigned capacities with maximum system reliability. Analyzing the network structure with respect to the system reliability helps in determining the critical nodes. Sufficient capacity should be assigned for each node in the flow network to keep the network operating normally in the case of failure due to maintenance at one or more nodes. Capacity assignment problem aims to decrease the number of critical nodes by searching for the minimum capacity with considering system reliability constraint, it is known as NP-hard …

Deep Transfer Learning And Image Segmentation For Fruit Recognition, Ahmad Odat, Mohammad Alodat

Applied Mathematics & Information Sciences

This paper is structured in such a way that you can able to develop the fruit recognition web app from scratch with Machine Learning & Flask. The primary objective of this research is to identify plant products in order to estimate their pricing without having to rely on recollection to enabling retail market administration and enhancing the shopping experience for customers. Methods and techniques used in this research was machine learning, deep learning, data analysis, processing, and interpretation, depending on Experimental Methods, Survey Research, Meta-Analysis, and Data Mining to provide a comprehensive and robust analysis of the data. Convolutional neural …