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Comparative Pharmacokinetics And Tissue Distribution Of Primaquine Enantiomers In Mice, Pius S. Fasinu, Narayan D. Chaurasiya, N. P. Dhammika Nanayakkara, Yan‑Hong ‑H Wang Dec 2022

Comparative Pharmacokinetics And Tissue Distribution Of Primaquine Enantiomers In Mice, Pius S. Fasinu, Narayan D. Chaurasiya, N. P. Dhammika Nanayakkara, Yan‑Hong ‑H Wang

Faculty and Student Publications

Background: Primaquine (PQ) has been used for the radical cure of relapsing Plasmodium vivax malaria for more than 60 years. PQ is also recommended for prophylaxis and prevention of transmission of Plasmodium falciparum. However, clinical utility of PQ has been limited due to toxicity in individuals with genetic deficiencies in glucose 6-phosphate dehydrogenase (G6PD). PQ is currently approved for clinical use as a racemic mixture. Recent studies in animals as well as humans have established differential pharmacological and toxicological properties of the two enantiomers of PQ. This has been attributed to differential metabolism and pharmacokinetics of individual PQ enantiomers. The …


A Distinct Mechanism Of C-Type Inactivation In The Kv-Like Kcsa Mutant E71v, Ahmed Rohaim, Bram J. A. Vermeulen, Jing Li, Felix Kümmerer Dec 2022

A Distinct Mechanism Of C-Type Inactivation In The Kv-Like Kcsa Mutant E71v, Ahmed Rohaim, Bram J. A. Vermeulen, Jing Li, Felix Kümmerer

Faculty and Student Publications

C-type inactivation is of great physiological importance in voltage-activated K+ channels (Kv), but its structural basis remains unresolved. Knowledge about C-type inactivation has been largely deduced from the bacterial K+ channel KcsA, whose selectivity filter constricts under inactivating conditions. However, the filter is highly sensitive to its molecular environment, which is different in Kv channels than in KcsA. In particular, a glutamic acid residue at position 71 along the pore helix in KcsA is substituted by a valine conserved in most Kv channels, suggesting that this side chain is a molecular determinant of function. Here, a combination of X-ray crystallography, …


Psychometric Properties Of The 26-Item Eating Attitudes Test (Eat-26): An Application Of Rasch Analysis, Natalie M. Papini, Myungjin Jung, Amanda Cook, Nanette V. Lopez, Lauren T. Ptomey, Stephen D. Herrmann, Minsoo Kang Dec 2022

Psychometric Properties Of The 26-Item Eating Attitudes Test (Eat-26): An Application Of Rasch Analysis, Natalie M. Papini, Myungjin Jung, Amanda Cook, Nanette V. Lopez, Lauren T. Ptomey, Stephen D. Herrmann, Minsoo Kang

Faculty and Student Publications

Background: The 26-item Eating Attitudes Test (EAT-26) is a commonly used tool to assess eating disorder risk. The purpose of this study was to examine the psychometric properties of the EAT-26 with a combined sample: (1) of adults with overweight and obesity enrolled in a behavioral weight loss program and (2) general adult sample (n = 469; age = 36.17 ± 17.83 years; female = 72.5%; white = 66.3%; obese BMI category = 58%). Methods: Rasch modeling was used to assess model-data fit, create an item-person map to evaluate relative distribution items and persons, item difficulty, and person’s eating disorder …


Predicting Geotechnical Parameters From Seismic Wave Velocity Using Artificial Neural Networks, Fatema Tuz Johora, Craig J. Hickey, Hakan Yasarer Dec 2022

Predicting Geotechnical Parameters From Seismic Wave Velocity Using Artificial Neural Networks, Fatema Tuz Johora, Craig J. Hickey, Hakan Yasarer

Faculty and Student Publications

Geotechnical investigation plays an indispensable role in site characterization and provides necessary data for various construction projects. However, geotechnical measurements are time-consuming, point-based, and invasive. Non-destructive geophysical measurements (seismic wave velocity) can complement geotechnical measurements to save project money and time. However, correlations between geotechnical and seismic wave velocity are crucial in order to maximize the benefit of geophysical information. In this work, artificial neural networks (ANNs) models are developed to forecast geotechnical parameters from seismic wave velocity. Specifically, published seismic wave velocity, liquid limit, plastic limit, water content, and dry density from field and laboratory measurements are used to …


Reparations For The Wrongly Convicted, Gillian Trost Dec 2022

Reparations For The Wrongly Convicted, Gillian Trost

Graduate Dissertations and Theses

Wrongly convicted persons should be offered reparations in instances where they have suffered or faced harm as a result of their wrong conviction. Harms can include, but are not limited to, losing physical time, mental health damages, monetary harm, and damages to the person’s reputation. Harms are anything that has diminished a person's quality of life throughout the conviction process and even after exoneration. Failure to offer reparations to these persons is unethical and reparations are a necessary consequence when the judicial system convicts the wrong person. Failure to offer reparations also lessens the judicial system’s accuracy and reliability when …


Supervised Acoustic Embeddings And Their Transferability Across Languages, Sreepratha Ram, Hanan Aldarmaki Dec 2022

Supervised Acoustic Embeddings And Their Transferability Across Languages, Sreepratha Ram, Hanan Aldarmaki

Natural Language Processing Faculty Publications

In speech recognition, it is essential to model the phonetic content of the input signal while discarding irrelevant factors such as speaker variations and noise, which is challenging in low-resource settings. Self-supervised pretraining has been proposed as a way to improve both supervised and unsupervised speech recognition, including frame-level feature representations and Acoustic Word Embeddings (AWE) for variable-length segments. However, self-supervised models alone cannot learn perfect separation of the linguistic content as they are trained to optimize indirect objectives. In this work, we experiment with different pre-trained self-supervised features as input to AWE models and show that they work best …


Criminal Justice Update - December 2022, Patrick Mahoney Dec 2022

Criminal Justice Update - December 2022, Patrick Mahoney

Criminal Justice Updates

The Criminal Justice Update is a monthly newsletter created by the Adams County Bar Foundation Fellow providing updates in criminal justice policy coming from Pennsylvania's courts and legislature as well as the US Supreme Court.

Contents:

  • Updates from PA Governor's Office (no updates this month)

  • Updates from the PA Legislature (no updates this month)

  • Updates from the Courts

    • U.S. Supreme Court: Criminal Law & Procedure (no updates this month)

    • PA Supreme Court: Criminal Law & Procedure (no updates this month)

    • PA Superior Court: Criminal Law & Procedure


Msw Capstone, Angela Marple Dec 2022

Msw Capstone, Angela Marple

Social Work Masters Capstone Projects

abstract not available


(R1885) Analytical And Numerical Solutions Of A Fractional-Order Mathematical Model Of Tumor Growth For Variable Killing Rate, N. Singha, C. Nahak Dec 2022

(R1885) Analytical And Numerical Solutions Of A Fractional-Order Mathematical Model Of Tumor Growth For Variable Killing Rate, N. Singha, C. Nahak

Applications and Applied Mathematics: An International Journal (AAM)

This work intends to analyze the dynamics of the most aggressive form of brain tumor, glioblastomas, by following a fractional calculus approach. In describing memory preserving models, the non-local fractional derivatives not only deliver enhanced results but also acknowledge new avenues to be further explored. We suggest a mathematical model of fractional-order Burgess equation for new research perspectives of gliomas, which shall be interesting for biomedical and mathematical researchers. We replace the classical derivative with a non-integer derivative and attempt to retrieve the classical solution as a particular case. The prime motive is to acquire both analytical and numerical solutions …


(R1899) Asymptotic Normality Of The Conditional Hazard Function In The Local Linear Estimation Under Functional Mixing Data, Amina Goutal, Boubaker Mechab, Omar Fetitah, Torkia Merouan Dec 2022

(R1899) Asymptotic Normality Of The Conditional Hazard Function In The Local Linear Estimation Under Functional Mixing Data, Amina Goutal, Boubaker Mechab, Omar Fetitah, Torkia Merouan

Applications and Applied Mathematics: An International Journal (AAM)

In this study, we are interested in using the local linear technique to estimate the conditional hazard function for functional dependent data where the scalar response is conditioned by a functional random variable. The asymptotic normality of this constructed estimator is demonstrated under some extreme conditions. Our estimator’s performance is demonstrated through simulations.


(R1894) Invariant Solution For Two-Dimensional And Axisymmetric Jet Of Power-Law Fluids, Bhavixa Bhagat, M. G. Timol Dec 2022

(R1894) Invariant Solution For Two-Dimensional And Axisymmetric Jet Of Power-Law Fluids, Bhavixa Bhagat, M. G. Timol

Applications and Applied Mathematics: An International Journal (AAM)

An invariant solution is derived using the Lie symmetry technique for steady laminar two-dimensional and axisymmetric boundary layer jet flow of incompressible power-law fluids with appropriate boundary conditions. Using symmetry, the nonlinear partial differential equation of the jet flow problem is transformed into a nonlinear ordinary differential equation. The resultant nonlinear ordinary differential equation with boundary conditions is converted to an initial value problem using the Lie symmetry technique. A numerical solution for the resulting initial value problem is derived using Fehlberg’s fourth-fifth order Runge-Kutta method through Maple software. The graphical representation of the characteristics of the velocity field for …


(R1500) Type-I Generalized Spherical Interval Valued Fuzzy Soft Sets In Medical Diagnosis For Decision Making, M. Palanikumar, K. Arulmozhi Dec 2022

(R1500) Type-I Generalized Spherical Interval Valued Fuzzy Soft Sets In Medical Diagnosis For Decision Making, M. Palanikumar, K. Arulmozhi

Applications and Applied Mathematics: An International Journal (AAM)

In the present communication, we introduce the concept of Type-I generalized spherical interval valued fuzzy soft set and define some operations. It is a generalization of the interval valued fuzzy soft set and the spherical fuzzy soft set. The spherical interval valued fuzzy soft set theory satisfies the condition that the sum of its degrees of positive, neutral, and negative membership does not exceed unity and that these parameters are assigned independently. We also propose an algorithm to solve the decision making problem based on a Type-I generalized soft set model. We introduce a similarity measure based on the Type-I …


(R1964) Solving Multi-Objective Linear Fractional Programming Problems Via Zero-Sum Game, Gizem Temelcan, Inci Albayrak, Mustafa Sivri Dec 2022

(R1964) Solving Multi-Objective Linear Fractional Programming Problems Via Zero-Sum Game, Gizem Temelcan, Inci Albayrak, Mustafa Sivri

Applications and Applied Mathematics: An International Journal (AAM)

This study presents a hybrid algorithm consisting of game theory and the first order Taylor series approach to find compromise solutions to multi-objective linear fractional programming (MOLFP) problems. The proposed algorithm consists of three phases including different techniques: in the first phase, the optimal solution to each LFP problem is found using the simplex method; in the second phase, a zero-sum game is solved to determine the weights of the objective functions via the ratio matrix obtained from a payoff matrix; in the last phase, fractional objective functions of the MOLFP problem are linearized using the 1st order Taylor series. …


(R1971) Analysis Of Feedback Queueing Model With Differentiated Vacations Under Classical Retrial Policy, Poonam Gupta, Naveen Kumar, Rajni Gupta Dec 2022

(R1971) Analysis Of Feedback Queueing Model With Differentiated Vacations Under Classical Retrial Policy, Poonam Gupta, Naveen Kumar, Rajni Gupta

Applications and Applied Mathematics: An International Journal (AAM)

This paper analyzes an M/M/1 retrial queue under differentiated vacations and Bernoulli feedback policy. On receiving the service, if the customer is not satisfied, then he may join the retrial group again with some probability and demand for service or may leave the system with the complementary probability. Using the probability generating functions technique, the steady-state solutions of the system are obtained. Furthermore, we have obtained some of the important performance measures such as expected orbit length, expected length of the system, sojourn times and probability of server being in different states. Using MATLAB software, we have represented the graphical …


(R1984) Analysis Of M^[X1], M^[X2]/G1, G_2^(A,B)/1 Queue With Priority Services, Server Breakdown, Repair, Modified Bernoulli Vacation, Immediate Feedback, G. Ayyappan, S. Nithya, B. Somasundaram Dec 2022

(R1984) Analysis Of M^[X1], M^[X2]/G1, G_2^(A,B)/1 Queue With Priority Services, Server Breakdown, Repair, Modified Bernoulli Vacation, Immediate Feedback, G. Ayyappan, S. Nithya, B. Somasundaram

Applications and Applied Mathematics: An International Journal (AAM)

In this investigation, the steady state analysis of two individualistic batch arrival queues with immediate feedback, modified Bernoulli vacation and server breakdown are introduced. Two different categories of customers like priority and ordinary are to be considered. This model propose nonpreemptive priority discipline. Ordinary and priority customers arrive as per Poisson processes. The server consistently afford single service for priority customers and the general bulk service for the ordinary customers and the service follows general distribution. The ordinary customers to be served only if the batch size should be greater than or equal to "a", else the server should not …


(R2024) A New Weighted Poisson Distribution For Over- And Under-Dispersion Situations, Michel Koukouatikissa Diafouka, Gelin Chedly Louzayadio, Rodnellin Onéime Malouata Dec 2022

(R2024) A New Weighted Poisson Distribution For Over- And Under-Dispersion Situations, Michel Koukouatikissa Diafouka, Gelin Chedly Louzayadio, Rodnellin Onéime Malouata

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we propose a four-parameter weighted Poisson distribution that includes and generalizes the weighted Poisson distribution proposed by Castillo and Pérez-Casany and the Conway- Maxwell-Poisson distribution, as well as other well-known distributions. It is a distribution that is a member of the exponential family and is an exponential combination formulation between the weighted Poisson distribution proposed by Castillo and Pérez-Casany and the Conway-Maxwell- Poisson distribution. This new distribution with an additional parameter of dispersion is more flexible, and the Fisher dispersion index can be greater than, equal to, or less than one. This last property allows it to …


Around The World In Two Days: Walt Disney's Epcot Center And The World's Fair Tradition, Annie Davis Dec 2022

Around The World In Two Days: Walt Disney's Epcot Center And The World's Fair Tradition, Annie Davis

Student Scholarship & Creative Works

This work views the performative and consumerist traditions of the World's Fair and how Walt Disney World's EPCOT Center was essentially created to exist as a "permanent World's Fair" in theme park form. From viewing the 1904 Louisiana Purchase Exposition in St. Louis and the 1964-1965 New York World's Fair alongside Epcot Center (1982) the similarities in the visitor experience are analyzed. Walt Disney's presence at the 1964-1965 New York World's Fair seems to work as testing grounds for ideas with lower stakes than presenting permanent attractions, some of which would later be moved to the parks. Epcot Center offered …


Interview With Paola García, Crystal Tejada-Breton Dec 2022

Interview With Paola García, Crystal Tejada-Breton

Immigrant Leaders

An interview with Paola García, an immigrant leader from Make the Road New Jersey. The interview covers life before immigrating, arrival and integration, and political participation.


(R1978) Heated Laminar Vertical Jet Of Psudoplastic Fluids-Against Gravity, Manisha Patel, M. G. Timol Dec 2022

(R1978) Heated Laminar Vertical Jet Of Psudoplastic Fluids-Against Gravity, Manisha Patel, M. G. Timol

Applications and Applied Mathematics: An International Journal (AAM)

A heated laminar jet of Pseudo-plastic fluid flowing vertically upwards from a long narrow slit into a region of the same fluid which is at a rest and at a uniform temperature is considered. The governing non-linear Partial differential equations (PDEs) for the defined flow problem are transformed into non-linear ordinary differential equations using the effective similarity technique-one parameter deductive group theory method. The obtained non-linear coupled Ordinary differential equations are solved and the results are presented by graphs. The effect of the Prandtl number and Grashof number on the velocity and temperature of the jet flow is discussed. Also, …


(R1985) Study The Effect Of Modified Newtonian Force On The Restricted 3-Body Configuration In Non-Linear Sense, Bhawna Singh, Kumari Shalini, Sada Nand Prasad, Abdullah A. Ansari Dec 2022

(R1985) Study The Effect Of Modified Newtonian Force On The Restricted 3-Body Configuration In Non-Linear Sense, Bhawna Singh, Kumari Shalini, Sada Nand Prasad, Abdullah A. Ansari

Applications and Applied Mathematics: An International Journal (AAM)

This paper aims to investigate the non-linear stability of the triangular libration point in the restricted three-body problem (R3BP). The model, we use for our problem consists of a primary body as a heterogeneous spheroid with N-layers having different densities of each layer and a secondary body as a point mass that is producing the modified Newtonian Potential. We determine the equation of motion of the smallest body which is under the influence of the above-mentioned perturbations and also influenced by Coriolis as well as Centrifugal forces and then evaluated the Lagrangian for the evaluated system of equations. Afterwards, we …


(R1980) Effect Of Climate Change On Brain Tumor, Pardeep Kumar, Sarita Jha, Rajiv Aggarwal, Govind Kumar Jha Dec 2022

(R1980) Effect Of Climate Change On Brain Tumor, Pardeep Kumar, Sarita Jha, Rajiv Aggarwal, Govind Kumar Jha

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we introduce a new dynamical model addressing the variation in climate condition due the presence of microorganisms. We also introduce a new dynamical model of cancer growth which includes three interactive cell populations with drug free environment, namely tumor cells, healthy host cells, and immune effector cells. In this, we considered the super growth of tumor cells. For the choice of certain parameters, both of the systems exhibit chaotic behavior. The aim of this work is to design the controller to control the chaos and to provide sufficient conditions which achieve synchronization of two non-identical systems, which …


Foreign Object Debris Detection For Airport Pavement Images Based On Self-Supervised Localization And Vision Transformer, Travis Munyer, Daniel Brinkman, Xin Zhong, Chenyu Huang, Iason Konstantzos Dec 2022

Foreign Object Debris Detection For Airport Pavement Images Based On Self-Supervised Localization And Vision Transformer, Travis Munyer, Daniel Brinkman, Xin Zhong, Chenyu Huang, Iason Konstantzos

Aviation Institute Faculty Proceedings & Presentations

Supervised object detection methods provide subpar performance when applied to Foreign Object Debris (FOD) detection because FOD could be arbitrary objects according to the Federal Aviation Administration (FAA) specification. Current supervised object detection algorithms require datasets that contain annotated examples of every to-be-detected object. While a large and expensive dataset could be developed to include common FOD examples, it is infeasible to collect all possible FOD examples in the dataset representation because of the open-ended nature of FOD. Limitations of the dataset could cause FOD detection systems driven by those supervised algorithms to miss certain FOD, which can become dangerous …


Sunday's Best, Devona Barnes Dec 2022

Sunday's Best, Devona Barnes

The Prairie Light Review

No abstract provided.


Rabbit And Robot, Joe Herrmann Dec 2022

Rabbit And Robot, Joe Herrmann

The Prairie Light Review

No abstract provided.


It's A Little Cold Here, Renee Tran Dec 2022

It's A Little Cold Here, Renee Tran

The Prairie Light Review

No abstract provided.


The Vine, Karian Markos Dec 2022

The Vine, Karian Markos

The Prairie Light Review

No abstract provided.


To My Sister, Kait Harland Dec 2022

To My Sister, Kait Harland

The Prairie Light Review

No abstract provided.


The Table, G. Tarsiscis Janetka Dec 2022

The Table, G. Tarsiscis Janetka

The Prairie Light Review

No abstract provided.


Aria, Syd Corpora Dec 2022

Aria, Syd Corpora

The Prairie Light Review

No abstract provided.


Old Man, Natalia Toreeva Dec 2022

Old Man, Natalia Toreeva

The Prairie Light Review

No abstract provided.