Digital Commons Network^™

Thorburn's 'British Birds', W. S.

The Auk

No abstract provided.

Watson And Lashley On Homing And Related Activities Of Birds, W. S.

The Auk

No abstract provided.

Methods Of Recording Bird Song, The Auk

The Auk

No abstract provided.

Notes On Nest Life Of The Brown Creeper In Massachusetts, Winsor M. Tyler

The Auk

No abstract provided.

Concerning The Flight Of Gulls, Alexander Forbes

The Auk

No abstract provided.

A Different Aspect Of The Case Of Roosevelt Vs Thayer, Thomas Barbour

The Auk

No abstract provided.

Howard's British Warblers Part Vi, W. S.

The Auk

No abstract provided.

Headley's 'The Flight Of Birds', W. S.

The Auk

No abstract provided.

Pycraft's 'A History Of Birds', W. S.

The Auk

No abstract provided.

Notes On The Flight Of Gulls, William Brewster

The Auk

No abstract provided.

Notes And News, The Auk

The Auk

No abstract provided.

Walter On Bird Migration, J. A. Allen

The Auk

No abstract provided.

Adaptive Worlds: Generative Ai In Game Design And Future Of Gaming, And Interactive Media, Jay Ratican, James Hutson

Faculty Scholarship

Generative AI is revolutionizing the field of game design, introducing unprecedented adaptability and personalization in gameplay. The latest advancements in AI-driven engines enable real-time content creation, offering dynamic, player-driven experiences that diverge from traditional pre-programmed narratives. This shift marks a transition toward "choose your own adventure" formats, with an unlimited number of variations in levels, enemies, collectibles, and weaponry, tailored to each player's decisions. Google's GameNGen, for example, showcases AI's capacity to recreate classic games like DOOM, learning and generating gameplay in real time. These innovations are not restricted to gaming alone; they extend to edutainment, television, and film, where …

2024 Proceedings Of The 30th Annual Summer Research Symposium, College Of The Holy Cross

Summer Research Program

Welcome to the 2024 Dr. Charles S. Weiss Summer Research Symposium. This esteemed event, now in its 30th year, serves as a platform for faculty and students from various disciplines at Holy Cross to showcase their accomplishments from the summer of 2024. It is also an opportunity for students to gain insight into the wide range of research possibilities both on and off campus and engage in discussions with faculty about conducting research in the upcoming academic year and summer.

The symposium and program are named after Charles "Chick" Weiss, a venerated professor and scholar who joined the psychology faculty …

Smokejumper Obituary: Parry, D. Ross (Missoula 1958), National Smokejumper Association

Smokejumper Obituaries

No abstract provided.

Overview For Exploring The Multisensory Landscape, Brent Chamberlain, Richard Smardon

Landscape Architecture and Environmental Planning Faculty Publications

Land use change has had a fundamental impact on the livelihoods of people throughout the world. This Special Issue focuses on the research being conducted at the intersection of this land use change and the importance of maintaining landscapes that enrich humanity and our engagement with nature. Within this Special Issue, we explored the value of landscapes that heighten the senses. Visual Resource Stewardship is an area of research that closely aligns with understanding how changes in the environment may be perceived and experienced. Understanding the tools, processes, and theories involved helps us to better understand how land use change …

Locating Diversity In Reservoir Computing Using Bayesian Hyperparameter Optimization, Whitney Lunceford

Theses and Dissertations

Reservoir computers rely on an internal network to predict the future state(s) of dynamical processes. To understand how a reservoir's accuracy depends on this network, we study how varying the networ's topology and scaling affects the reservoir's ability to predict the chaotic dynamics on the Lorenz attractor. We define a metric for diversity, the property describing the variety of the responses of the nodes that make up reservoir's internal network. We use Bayesian hyperparameter optimization to find optimal hyperparameters and explore the relationships between diversity, accuracy of model predictions, and model hyperparameters. The content regarding the VPT metric, the effects …

Multimodal Mixing Convolutional Neural Network And Transformer For Alzheimer’S Disease Recognition, Junde Chen, Yun Wang, Adnan Zeb, M. D. Suzauddola, Yuxin Wen

Engineering Faculty Articles and Research

Early recognition of Alzheimer’s disease (AD) and its precursor state, mild cognitive impairment (MCI), is pivotal in interrupting the progression of the disease and providing suitable treatment. Recent development in deep learning techniques has drawn great research attention for improving the efficacy of AD recognition. However, numerous current methods solely utilize data from a single auxiliary domain, limiting their ability to harness valuable intrinsic insights from multiple domains. To cope with the challenge, this paper is devoted to establishing an innovative multimodal medical data fusion model, termed as MMDF, to perform Alzheimer’s disease recognition. Multimodal data including clinical records and …

Designing Cybersecurity Escape Rooms: A Gamified Approach To Undergraduate Learning, Thitima Srivatanakul

Journal of Cybersecurity Education, Research and Practice

Gamification, including game-based learning (GBL), is a widely recognized pedagogical approach used for imparting and reinforcing cybersecurity knowledge and skills to learners. One innovative form of GBL gaining popularity across various educational levels, from secondary schools to professional development, is escape room-style education. This study is centered on the development and design of escape room activities tailored for teaching cybersecurity concepts, with a particular focus on web and software security, to undergraduate students at York College. The primary objectives of this research are twofold: firstly, to evaluate the effectiveness of educational escape room activities in reinforcing cybersecurity concepts taught in …

Examining How Adolescents From Underrepresented And Minoritzed Backgrounds View And Navigate Their Racial Ethnic Identity: Exploring The Impact Of Dominant Narratives And Counternarratives On Racial Ethnic Identity, Jesus Eduardo Ramos

Dissertations

This study delves into the impact of dominant narratives on the perceptions of Racial Ethnic Identity (REI) among adolescents from underrepresented, minoritized backgrounds and assesses the effects of counternarrative interventions. It explores how racially oppressive messages in education and media shape self-perception and examines the potential of counternarratives in challenging stereotypes, promoting critical thinking, and advancing social justice. Utilizing a qualitative cross-case study design, the research involved 8 participants aged 12-14 who identified as Hispanic/Latino or Black/African. Data collection methods included demographic questionnaires, semi-structured pre- and post-intervention interviews, and reflection logs. The analysis employed constant comparison techniques and data triangulation …

Understanding Teachers’ Responses To Parental Demands In The Midst Of Competing Responsibilities, Kathryn Battafarano

Master's Theses

This study builds upon a plethora of educational research and focuses specifically on middle school grade level teachers. I predominantly utilized qualitative interviews to understand how teachers respond to parental demands; these answers were supplemented by some quantitative data about their schools. The study configures information about teachers’ school environments and requirements, teachers’ interactions with parents, and how teachers deal with parental demands in relation to other demands and requirements. Effort was made to investigate how teacher experience, teaching style, and subject matter as well as school type (e.g., socio-economic makeup of the school) and school location influence parental demands …

Density-Dependence Inside A Marine Protected Area Increases Natural Mortality And Stunts The Growth Of A Spiny Lobster, Emma-Jade Tuffley, Simon De Lestang

Fisheries Research Articles

Sustainable fisheries management often requires the modelling of stocks under unfished conditions, when the influence of population densities on animal growth and mortality can be substantial. This can be especially true for species such as spiny rock lobster, which are very habitat specific. Using western rock lobster (Panulirus cygnus) tag-recapture data from adjacent and similar fished and unfished areas, the key life history parameters of natural mortality and growth were examined and compared under different population density scenarios. In an area representative of virgin biomass levels, lobsters exhibited reduced growth rates and a substantially higher rate of natural mortality …

C-H Amination Chemistry Mediated By Trinuclear Cu(I) Sites Supported By A Ligand Scaffold Featuring An Arene Platform And Tetramethylguanidinyl Residues, Meenakshi Sharma, Reece M. Fritz, Himanshu Bhatia, Joseph O. Adebanjo, Zhou Lu, Mohammad A. Omary, Thomas R. Cundari, Amitava Choudhury, Pericles Stavropoulos

Chemistry Faculty Research & Creative Works

Tripodal ligands that can encapsulate single or multiple metal sites in C3-symmetric geometric configurations constitute valuable targets for novel catalysts. Of particular interest in ligand development are efforts toward incorporating apical elements that exhibit little if any electron donicity, to enhance the electrophilic nature of a trans positioned active oxidant (e.g., metal-oxo, -nitrene). The tripodal ligand TMG3trphen-Arene has been synthesized, featuring an arene platform 1,3,5-substituted with phenylene arms possessing tetramethylguanidinyl (TMG) residues. Compound [(TMG3trphen-Arene) Cu₃(μ-Cl)₃] has been subsequently synthesized by extracting a Cu₃(μ-Cl)₃ cluster from anhydrous CuCl and shown to encapsulate a crown-shaped …

Size Fractionation Informs Microbial Community Composition And Interactions In The Eastern Tropical North Pacific Ocean, Madeleine A. Thompson, David L. Valentine, Xuefeng Peng

Faculty Publications

Marine microorganisms are drivers of biogeochemical cycles in the world’s oceans, including oxygen minimum zones (OMZs). Using a metabarcoding survey of the 16S rRNA gene, we investigated prokaryotic communities, as well as their potential interactions with fungi, at the coastal, offshore, and peripheral OMZ of the eastern tropical North Pacific. Water samples were collected along a vertical oxygen gradient, and large volumes were filtered through three size fractions, 0.22, 2, and 22 µm. The changes in community composition along the oxygen gradient were driven by Planctomycetota, Bacteroidota, Verrucomicrobiota, and Gammaproteobacteria; most are known degraders of marine polysaccharides and usually associated …

The Role Of Artificial Intelligence Techniques In Enhancing Project Completion Speed: A Study On Using Lstm Networks For Predicting Delay Times, Abdulrahman Ragheb Abdulrazak, Awss Hatim Mahmoud

Journal of Economics and Administrative Sciences

This study aimed to investigate mechanisms for enhancing project completion speed through the application of artificial intelligence techniques. The study adopted the approach of "Using LSTM Networks for Predicting Project Delay Times," and the researchers utilized data from 3530 residential units for training, testing, and prediction. Selecting project delay times as a focus was driven by their significant impact on vital project completion. The research problem centers around the main question, "Can LSTM networks be successfully used to predict project delay times?" The significance of the study lies in utilizing Long Short-Term Memory (LSTM) neural network techniques to improve the …

The Fuzziness Models With The Proposed New Conjugate Gradient Method For The Classification Of High-Dimensional Data In Bioinformatics, Omar Qusay Alshebly, Suhail Najm Abdulla

Journal of Economics and Administrative Sciences

The development of the subject of bioinformatics may be attributed to the exponential growth of biological data, namely the huge amount of high-dimensional gene expression data. The discipline of bioinformatics efficiently tackles issues in molecular biology through the use of optimization, computer science, and statistical methods. The present study introduces a new optimization strategy, namely the proposed conjugate gradient method (PNCG), for the purpose of learning a fuzzy neural network model using the Takagi-Sugeno approach. This study presented a novel algorithm that addresses the issue of delayed convergence seen in the Polak Ribière Polyak (PRP) and Liu-Storey (LS) techniques by …

A Comparison Between Speckman And Bayesian Estimation Method Of A Semiparametric Balanced Longitudinal Data Model, Ahmed Abdulsamad Habeeb, Qutaiba N. Nayef Al-Qazaz

Journal of Economics and Administrative Sciences

This paper aims to use semi-parametric regression to balanced longitudinal data model, where the parametric regression models suffer from the problem of strict constraints, while non-parametric regression models, despite their flexibility, suffer from the problem of the curse of dimensionality. Consequently, semi-parametric regression is an ideal solution to get rid of the problems that parametric and non-parametric regression suffer from. The great advantage of this model is that it contains all the positive features included in the previous two models, such as containing strict restrictions in its parametric component, complete flexibility in its non-parametric component, and clarity of the interaction …

Some Fuzzy Least Squares Estimators For Regression Model Using Different Kernel Functions, Areej Ibrahim Tawfeeq, Emad Hazim Aboudi

Journal of Economics and Administrative Sciences

This paper presents a method for addressing the issue of outliers in fuzzy data. The method involves calculating a new distance between fuzzy numbers using various kernel functions, based on the fuzzy least squares method. The parameters of the fuzzy regression model were estimated in cases where the explanatory variables were non-fuzzy, the parameters were fuzzy, and the response variable was both fuzzy and an outlier. These estimators were then compared to the Fuzzy Least Squares method (FLS) using Mean Square Error (MSE) through simulations with different sample sizes (25, 50, 100, 150) and levels of outliers (0, 0.10, 0.20, …

A Hybrid Model For Financial Forecasting Based On Maximal Overlap Discrete Wavelet Transform: Evidence From Chinese Exchange Rates, Bouraida Burhan, Firas A. Mohammed Almohana

Journal of Economics and Administrative Sciences

In some time series, especially financial time series, the high/low frequency sometimes occurs in short time scale, or for a specific period, the phenomena happen such that not observed in the rest of the time series; in the situation, decomposition of the time series into constitutive series can be very useful ,because the wavelet transform has the ability to transform the time series into low-and-high-frequency information, which allows detecting trends, breakdown points, and discontinuities in the data that may it is lost when other analysis methods are used. to cope with non-stationary time series forecasting and with the aim of …

A Linear Programming Method For Finding The Critical Path And The Desired Time To Complete The Project, Muna Shaker Salman

Journal of Economics and Administrative Sciences

The Nineveh Grain Store project is considered one of the important projects in the Ministry of Commerce/General Company for Grain Trade in general and Nineveh Governorate in particular. The research problem focused on the fact that many projects are slow and not completed on time, and the reason is the lack of keeping pace with the technological development of developed countries at the present time, which leads to delaying the duration of project completion, and this in turn leads to high costs and thus failure to complete the project on time.The main objective of this research is to use the …