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Spartan Daily, December 5, 2023, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2023

Volume 161, Issue 43

Formulation Of Causality-Preserving Quantum Time Of Arrival Theory, Denny Lane B. Sombillo, Neris I. Sombillo

Physics Faculty Publications

We revisit the quantum correction to the classical time of arrival to address the unphysical instantaneous arrival in the limit of zero initial momentum. In this study, we show that the vanishing of arrival time is due to the contamination of the causality-violating component of the initial wave packet. Motivated by this observation, we propose to update the temporal collapse mechanism in Galapon (2009) [18] to incorporate the removal of causality-violating spectra of the arrival time operator. We found that the quantum correction to the classical arrival time is still observed. Thus, our analysis validates that the correction is an …

Standing Rock Trip, Campus Colloquium Connect Students With Indigenous Communities, Dave Larsen

College of Arts and Sciences Newsroom

The University of Dayton’s efforts to build connections with America’s Indigenous communities extend from campus to the Black Hills of South Dakota.

Correction Of Spinal Sagittal Alignment After Posterior Lumbar Decompression: Does Severity Of Central Canal Stenosis Matter?, Delano Trenchfield, Yunsoo Lee, Mark J. Lambrechts, Nicholas D'Antonio, Jeremy Heard, John Paulik, Sydney Somers, Jeffrey Rihn, Mark Kurd, David Kaye, Jose Canseco, Alan Hilibrand, Alex Vaccaro, Christopher K Kepler, Gregory Schroeder

Rothman Institute Papers

STUDY DESIGN: This study adopted a retrospective study design.

PURPOSE: Our study aimed to investigate the impact of central canal stenosis severity on surgical outcomes and lumbar sagittal correction after lumbar decompression.

OVERVIEW OF LITERATURE: Studies have evaluated sagittal correction in patients with central canal stenosis after lumbar decompression and the association of stenosis severity with worse preoperative sagittal alignment. However, none have evaluated the impact of spinal stenosis severity on sagittal correction.

METHODS: Patients undergoing posterior lumbar decompression (PLD) of ≤4 levels were divided into severe and non-severe central canal stenosis groups based on the Lee magnetic resonance imaging …

Overcoming Foreign Language Speaking Anxiety: Practical Approaches In The Classroom, Sarah Day

Honors Projects

Foreign language speaking anxiety is a prevalent issue impacting language learners' confidence, participation, and overall language acquisition. With personal experiences as a language learner, a Spanish teacher in the United States, and an English teacher in Spain, I have observed how foreign language speaking anxiety affects learners from various demographics. Using a combined approach of personal observations, experiences as a language learner and teacher, and secondary research this project aims to address the primary sources of foreign language speaking anxiety among high school students and how both students and teachers can work to lessen the negative effects of foreign language …

Nurses’ Lived Experiences Of Coping With The Long-Term Effects Of Compassion Fatigue From The Covid-19 Pandemic, Philip Joseph Nelan

Walden Dissertations and Doctoral Studies

No abstract provided.

Quaternary Ammonium Compounds (Qacs) In Wastewater Influent And Effluent Throughout The Covid-19 Pandemic, Anna K. Mahony, Patrick J. Mcnamara, William A. Arnold

Civil and Environmental Engineering Faculty Research and Publications

Quaternary ammonium compounds (QACs) are used in consumer and industrial products, including disinfectants. Due to the COVID-19 pandemic, disinfectant use has increased, purportedly increasing loads to wastewater treatment plants and the environment. To understand how the increased usage has affected QAC loadings to treatment plants and to determine how effectively plants remove QACs from liquid effluent that is discharged to surface and groundwaters, influent and effluent wastewater samples were collected from four treatment plants (treatment capacities < 5 MGD to > 100 MGD) for 21 months beginning in May 2020. Influent QAC concentrations were hundreds of μg/L and effluent QAC concentrations were < 1 μg/L, corresponding to an average removal of 98% from all four plants. The most prevalent QACs in influent were those used most commonly in disinfectants, specifically benzylalkyldimethylammonium compounds (BACs) and short-chain dialkyldimethylammonium compounds (DADMACs), and influent levels of these compounds were correlated with QAC sales. Prior to this study, ethylbenzylalkyldimethylammonium compounds (EtBACs) had not been studied, and they comprised 13 ± 6% of QACs in influent. While removal was high at all plants, low μg/L concentrations were still continuously discharged into the environment. For QACs with equivalent alkyl chain lengths, those with aromatic substituents (BACs and EtBACs) appear to be removed more effectively than those with only alkyl chains (DADMACs).

Trends In Ductus Arteriosus Stent Versus Blalock-Taussig-Thomas Shunt Use And Comparison Of Cost, Length Of Stay, And Short-Term Outcomes In Neonates With Ductal-Dependent Pulmonary Blood Flow: An Observational Study Using The Pediatric Health Information Systems Database, Bethan A Lemley, Lezhou Wu, Amy L Roberts, Russell T Shinohara, William O Quarshie, Athar M Qureshi, Christopher L Smith, Yoav Dori, Matthew J Gillespie, Jonathan J Rome, Andrew C Glatz, Sandra Amaral, Michael L O'Byrne

2020-Current year OA Pubs

BACKGROUND: The modified Blalock-Taussig-Thomas shunt is the gold standard palliation for securing pulmonary blood flow in infants with ductal-dependent pulmonary blood flow. Recently, the ductus arteriosus stent (DAS) has become a viable alternative.

METHODS AND RESULTS: This was a retrospective multicenter study of neonates ≤30 days undergoing DAS or Blalock-Taussig-Thomas shunt placement between January 1, 2017 and December 31, 2020 at hospitals reporting to the Pediatric Health Information Systems database. We performed generalized linear mixed-effects modeling to evaluate trends in intervention and intercenter variation, propensity score adjustment and inverse probability weighting with linear mixed-effects modeling to analyze length of stay …

Predictive Modeling Of Asphalt Pavement Performance Using Artificial Neural Networks, Rami Khalifah

Civil Engineering Theses

This thesis highlights the significance of using the Resilient Modulus (Mr) and Soil-Water Characteristic Curve (SWCC) coefficients within the scope of pavement design. It aims to demonstrate the importance of pavement quality and safety by developing a prediction model for bleeding and rutting depth in asphalt pavements using data from the Long-Term Pavement Performance (LTPP) database and the National Catalog of Natural Subgrade Properties Database. Additionally, the thesis builds predictive models using Artificial Neural Networks (ANNs), which include a single hidden layer and multiple neurons. The developed Mr and SWCC models in this thesis utilized the basic soil index properties …

Moral Distress As A Predictive Variable Of Perceived Job Retention In Senior Nursing Students, Rebekah L. Barber

Honors College Theses

New Bachelor of Science in Nursing (BSN) graduate nurses are leaving careers within inpatient healthcare facilities presumably because of moral distress related to the anticipated workload of registered nurses (RN). BSN curriculums are responsible for providing practical education through clinical instruction; however, many students experience inconsistencies in best practice recommendations. The inconsistencies predominantly originate between didactic nursing instruction and clinical learning within inpatient healthcare facilities. Using a cross-sectional descriptive research design, this thesis utilized the validated Moral Distress Scale-Revised (MDS-R), a 21-item instrument that assesses the frequency and intensity of moral distress experienced by healthcare workers. Student responses to the …

Digital Flourishing In The U.S.: Validation Of The Digital Flourishing Scale (Dfs) And Demographic Exploration, Sophie Janicke-Bowles

Communication Faculty Articles and Research

An increasing number of research studies have focused on exploring both the negative and positive effects of computer-mediated communication on individuals’ mental health and well-being. However, there is a lack of a comprehensive scale that measures an individual’s online well-being. The 25-item Digital Flourishing Scale (DFS) was introduced to measure the 25-item Digital Flourishing Scale (DFS) to measure individuals’ positive perceptions of experiences and behaviors in mediated social interactions. The current pre-registered study aimed to establish the convergent, discriminant, and concurrent criterion validity of the DFS and its five subscales (connectedness, authentic self-presentation, civil participation, positive social comparison, self-control). Additionally, …

Systemic Resolution Advisory Committee Meeting Transcript, Federal Deposit Insurance Corporation (Fdic): Systemic Resolution Advisory Committee

Documents

No abstract provided.

Leadership Strategies To Implement An Effective Remote Working Program, Carter Lewis

Walden Dissertations and Doctoral Studies

No abstract provided.

Amateur Status Was A Dominant Issue In The Early Days Of Spo, John W. Lundin

Works by Local Authors

In the late 1800s, professional sports attracted high-stakes gambling. The potential for bribery and extortion led to a general sense that paid athletes were corruptible and competitions untrustworthy. While betting on amateur events was common, a deep divide emerged between "pure" amateurs, who were said to compete for the love of the sport, and professionals, who competed for money in the form of cash prizes or other remuneration. This prejudice even extended to coaches who had been professionals, who were believed to be too tainted to coach amateurs. The distinction often boiled down to so-called gentleman-athletes, who had private fortunes, …

Alexnet Convolutional Neural Network Architecture With Cosine And Hamming Similarity/Distance Measures For Fingerprint Biometric Matching, Ahmed Sabah Ahmed Al-Jumaili, Huda Kadhim Tayyeh, Abeer Alsadoon

Baghdad Science Journal

In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding …

Classification Of Diseases In Oil Palm Leaves Using The Googlenet Model, Asmah Indrawati, Abdul Rahman, Erwin Pane, Muhathir

Baghdad Science Journal

The general health of palm trees, encompassing the roots, stems, and leaves, significantly impacts palm oil production, therefore, meticulous attention is needed to achieve optimal yield. One of the challenges encountered in sustaining productive crops is the prevalence of pests and diseases afflicting oil palm plants. These diseases can detrimentally influence growth and development, leading to decreased productivity. Oil palm productivity is closely related to the conditions of its leaves, which play a vital role in photosynthesis. This research employed a comprehensive dataset of 1,230 images, consisting of 410 showing leaves, another 410 depicting bagworm infestations, and an additional 410 …

A Novel Water Quality Index For Iraqi Surface Water, Zahraa Z. Aljanabi, Abdul-Hameed M. Jawad Al-Obaidy, Fikrat M. Hassan

Baghdad Science Journal

The study aims to build a water quality index that fits the Iraqi aquatic systems and reflects the environmental reality of Iraqi water. The developed Iraqi Water Quality Index (IQWQI) includes physical and chemical components. To build the IQWQI, Delphi method was used to communicate with local and global experts in water quality indices for their opinion regarding the best and most important parameter we can use in building the index and the established weight of each parameter. From the data obtained in this study, 70% were used for building the model and 30% for evaluating the model. Multiple scenarios …

Posttraumatic Growth In Inmates: An Exploration Of Cumulative Adverse Life Experiences And Its Relationship To Growth, Rachel Taylor

Online Theses and Dissertations

Trauma is pervasive among incarcerated populations and revictimization is common. Trauma can ripple out, affecting other areas of life—for many inmates, trauma is related to mental health issues and substance abuse, both of which can contribute to increased likelihood of recidivism. This study evaluated cumulative trauma using the Adverse Childhood Experiences survey (ACEs) and the Trauma History Questionnaire (THQ) to find the effect of cumulative trauma on posttraumatic growth, the positive psychological change that may develop following a traumatic experience. Against the hypotheses and previous research, the results showed a negative relationship between cumulative trauma and posttraumatic growth, a negative …

Development Of An App For The Kalamazoo Nature Center, Ernest Au

Honors Theses

Kalamazoo Nature Center (KNC), which has been recognized by its peers as one of the top nature centers in the country, is home to over 14 miles of hiking trails winding through woods, wetlands, and prairies. There are numerous places/plots in KNC that have an interesting and impressive history besides being home to a variety of animals and hundreds of wildflowers and other plant life. To improve the visitor’s experience at KNC, we will design a software app via the senior capstone project at the department of Computer Science at WMU. As the first step towards establishing a reference model …

One Man’S Trash, Jordan Tavan

Theses

This thesis explores perception through ambiguous mixed-media sculpture in order to create the potential for people to question their assumptions of what “is.” Judgments, categorization, and assumptions are big parts of the ways we make sense of our world. Often, we’re wrong about them. This artwork is created in response to the lifelong experience of existing outside the lines – the experience of breaking social rules and the desire for others to realize the potential for multiple truths.

Trends In Ductus Arteriosus Stent Versus Blalock-Taussig-Thomas Shunt Use And Comparison Of Cost, Length Of Stay, And Short-Term Outcomes In Neonates With Ductal-Dependent Pulmonary Blood Flow: An Observational Study Using The Pediatric Health Information Systems Database, Bethan A Lemley, Lezhou Wu, Amy L Roberts, Russell T Shinohara, William O Quarshie, Athar M Qureshi, Christopher L Smith, Yoav Dori, Matthew J Gillespie, Jonathan J Rome, Andrew C Glatz, Sandra Amaral, Michael L O'Byrne

Faculty, Staff and Students Publications

Background: The modified Blalock-Taussig-Thomas shunt is the gold standard palliation for securing pulmonary blood flow in infants with ductal-dependent pulmonary blood flow. Recently, the ductus arteriosus stent (DAS) has become a viable alternative.

Methods and results: This was a retrospective multicenter study of neonates ≤30 days undergoing DAS or Blalock-Taussig-Thomas shunt placement between January 1, 2017 and December 31, 2020 at hospitals reporting to the Pediatric Health Information Systems database. We performed generalized linear mixed-effects modeling to evaluate trends in intervention and intercenter variation, propensity score adjustment and inverse probability weighting with linear mixed-effects modeling to analyze length of stay …

Emerging Trends In Wheat (Triticum Spp.) Breeding: Implications For The Future, Mujahid Alam, P. Stephen Baenziger, Katherine Anna Frels

Department of Agronomy and Horticulture: Faculty Publications

Wheat (Triticum spp and, particularly, T. aestivum L.) is an essential cereal with increased human and animal nutritional demand. Therefore, there is a need to enhance wheat yield and genetic gain using modern breeding technologies alongside proven methods to achieve the necessary increases in productivity. These modern technologies will allow breeders to develop improved wheat cultivars more quickly and efficiently. This review aims to highlight the emerging technological trends used worldwide in wheat breeding, with a focus on enhancing wheat yield. The key technologies for introducing variation (hybridization among the species, synthetic wheat, and hybridization; genetically modified wheat; transgenic …

Indoor/Outdoor Deep Learning Based Image Classification For Object Recognition Applications, Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied

Baghdad Science Journal

With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 …

Recognizing Different Foot Deformities Using Fsr Sensors By Static Classification Of Neural Networks, Ayham Darwich, Ebrahim Ismaiel, Ayman Al-Kayal, Mujtaba Ali, Mohamed Masri, Hasan Mhd Nazha

Baghdad Science Journal

Sensing insole systems are a promising technology for various applications in healthcare and sports. They can provide valuable information about the foot pressure distribution and gait patterns of different individuals. However, designing and implementing such systems poses several challenges, such as sensor selection, calibration, data processing, and interpretation. This paper proposes a sensing insole system that uses force-sensitive resistors (FSRs) to measure the pressure exerted by the foot on different regions of the insole. This system classifies four types of foot deformities: normal, flat, over-pronation, and excessive supination. The classification stage uses the differential values of pressure points as input …

Alexnet-Based Feature Extraction For Cassava Classification: A Machine Learning Approach, Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail

Baghdad Science Journal

Cassava, a significant crop in Africa, Asia, and South America, is a staple food for millions. However, classifying cassava species using conventional color, texture, and shape features is inefficient, as cassava leaves exhibit similarities across different types, including toxic and non-toxic varieties. This research aims to overcome the limitations of traditional classification methods by employing deep learning techniques with pre-trained AlexNet as the feature extractor to accurately classify four types of cassava: Gajah, Manggu, Kapok, and Beracun. The dataset was collected from local farms in Lamongan Indonesia. To collect images with agricultural research experts, the dataset consists of 1,400 images, …

Nonan Gaitprint: An Imu Gait Database Of Healthy Young Adults, Tyler M. Wiles, Madhur Mangalam, Joel H. Sommerfeld, Seung Kyeom Kim, Kolby J. Brink, Anaëlle Charles, Alli Grunkemeyer, Marilena Kalaitzi Manifrenti, Spyridon Mastorakis, Nicholas Stergiou, Aaron Likens

Journal Articles

An ongoing thrust of research focused on human gait pertains to identifying individuals based on gait patterns. However, no existing gait database supports modeling efforts to assess gait patterns unique to individuals. Hence, we introduce the Nonlinear Analysis Core (NONAN) GaitPrint database containing whole body kinematics and foot placement during self-paced overground walking on a 200-meter looping indoor track. Noraxon Ultium MotionTM inertial measurement unit (IMU) sensors sampled the motion of 35 healthy young adults (19–35 years old; 18 men and 17 women; mean ± 1 s.d. age: 24.6 ± 2.7 years; height: 1.73 ± 0.78 m; body mass: …

Wildland Fires Worsened Population Exposure To Pm25 Pollution In The Contiguous United States, Danlu Zhang, Wenhao Wang, Yuzhi Xi, Jianzhao Bi, Yun Hang, Qingyang Zhu, Qiang Pu, Howard Chang, Yang Liu

Faculty, Staff and Student Publications

As wildland fires become more frequent and intense, fire smoke has significantly worsened the ambient air quality, posing greater health risks. to better understand the impact of wildfire smoke on air quality, we developed a modeling system to estimate daily PM

Chromosome 10q2432 Variants Associate With Brain Arterial Diameters In Diverse Populations: A Genome-Wide Association Study, Minghua Liu, Farid Khasiyev, Sanjeev Sariya, Antonio Spagnolo-Allende, Danurys L Sanchez, Howard Andrews, Qiong Yang, Alexa Beiser, Ye Qiao, Emy A Thomas, Jose Rafael Romero, Tatjana Rundek, Adam M Brickman, Jennifer J Manly, Mitchell Sv Elkind, Sudha Seshadri, Christopher Chen, Saima Hilal, Bruce A Wasserman, Giuseppe Tosto, Myriam Fornage, Jose Gutierrez

Faculty, Staff and Student Publications

Background: Brain arterial diameters (BADs) are novel imaging biomarkers of cerebrovascular disease, cognitive decline, and dementia. Traditional vascular risk factors have been associated with BADs, but whether there may be genetic determinants of BADs is unknown.

Methods and results: The authors studied 4150 participants from 6 geographically diverse population-based cohorts (40% European, 14% African, 22% Hispanic, 24% Asian ancestries). Brain arterial diameters for 13 segments were measured and averaged to obtain a global measure of BADs as well as the posterior and anterior circulations. A genome-wide association study revealed 14 variants at one locus associated with global BAD at genome-wide …

Overcoming Foreign Language Anxiety In An Emotionally Intelligent Tutoring System, Daneih Ismail

College of Computing and Digital Media Dissertations

Learning a foreign language entails cognitive and emotional obstacles. It involves complicated mental processes that affect learning and emotions. Positive emotions such as motivation, encouragement, and satisfaction increase learning achievement, while negative emotions like anxiety, frustration, and confusion may reduce performance. Foreign Language Anxiety (FLA) is a specific type of anxiety accompanying learning a foreign language. It is considered a main impediment that hinders learning, reduces achievements, and diminishes interest in learning.

Detecting FLA is the first step toward reducing and eventually overcoming it. Previously, researchers have been detecting FLA using physical measurements and self-reports. Using physical measures is direct …

Socio-Cultural Dimension Of Innovation In Islamic Economics: A Comparative Analysis Of Top Innovative Countries And Muslim Countries, Husnu Tekin, Omer Faruk Tekdogan

Journal of King Abdulaziz University: Islamic Economics

In this study, we employ sub-Hofstede indexes and Global Innovation Index (GII) to demonstrate the socio-cultural dimension of innovation in Muslim countries by comparing it with top GII countries. Even though our comparative analysis points out that culture more or less matters in terms of innovation performance of countries, it seems that sub-Hofstede indexes are not sufficient alone to reveal the innovation performance of economies. On the other hand, even though Islam encourages innovative activities for Muslims, most of the Muslim countries have relatively lower R&D expenditures per capita compared to the top GII countries. Muslim countries with several exceptions …