Digital Commons Network^™

Beyond The Priesthood: Patriarchy, Faith, And The Feminist Movement With The Lds Church, Chelsee M. Niebergall

CLAMANTIS: The MALS Journal

No abstract provided.

Elephants, Ed Ting

CLAMANTIS: The MALS Journal

No abstract provided.

Cnes Participation To The Sentinel-2 C Commissioning Phase, Leveraging Synergies Between Vicarious Calibration Methods, Damien Rodat, Valentina Boccia, Camille Desjardins, Arthur Dick, Sebastien Marcq, Aime Meygret

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

The 5th September 2024, Sentinel-2 C has successfully joined its orbit where Sentinel-2 A and B were already in operation since 2015 and 2017 respectively. The Sentinel-2 mission is part of the European Copernicus program, a wide Earth observation program dedicated to the environment monitoring, the mitigation of climate change effects and a support to emergency services. Sentinel-2 handles the high-resolution optical component with an acquisition of the Earth surface in 13 different spectral bands, every 5 days with a spatial resolution between 10 m and 60 m (depending on the band).

The French space agency (CNES) was in charge …

Constitution And By-Laws Of The Union Benevolent Association Of Jacksonville And Vicinity

Eartha M. M. White Textual Material

Booklet: Constitution and By-laws of the Union Benevolent Association of Jacksonville and vicinity Controlling The Old Folks Home, Jacksonville, Florida. Undated.

Calibration And Systems Engineering Collaboration, John Wilson

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Systems engineering and calibration engineering are critical to the efficient development, production, and operation of complex systems. Systems engineering provides the framework for the system lifecycle, ensuring stakeholder needs are met through integrated solutions. Calibration engineering ensures the accuracy, reliability, traceability of measurement, and compliance with standards. Coordination between system engineering and calibration ensures that instrumentation, control systems, and system performance are enabled. As the lifecycle coordinator, systems engineering relies on calibration engineers to reduce risks, optimize development, and ensure operational success.

However, the relationship between these disciplines is often poorly coordinated, as noted in tabletop discussions at CALCON 2024. …

Nist Recent Advances In Support Of Radiometric Calibrations, Michelle Stephens

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

No abstract provided.

No Evidence For Pape-Induced Jumping Performance Enhancement Following Isometric And Treadmill Warm-Ups In Team Sport Athletes, Artur Terbalyan, Adam Maszczyk, Robert Krzysztof Roczniok

Baltic Journal of Health and Physical Activity

Background: This study aimed to determine whether an isometric PAPE‐based warm-up could enhance jumping performance compared to a traditional treadmill jogging warm-up in team sport athletes. The primary focus was on assessing neuromuscular activation and performance indicators such as jump height and force asymmetry. Materials and Methods: Fifty-three athletes from basketball, volleyball, handball, and soccer participated in a controlled, parallel-group experiment. Participants performed either a unilateral isometric warm-up protocol – comprising two sets of four exercises per leg– or a 5‐minute treadmill jogging session, with jump performance assessed via countermovement jump tests on dual force plates. A split-plot ANOVA was …

The Effect Of Functional Training On Dynamic Knee Valgus Of Youth Soccer Players. A Pilot Study, Ole Tovar, Dóra Molnár, Badis Soussi, Ádám Uhlár, Tamás Horváth, Mira Ambrus

International Journal of Exercise Science

International Journal of Exercise Science 18(7): 561-574, 2025. Knee injuries are very common in soccer players. High loads on the knee during landing or changes of direction can lead to a valgus shift of the knee, known as Dynamic Knee Valgus (DKV). Many studies have shown that a large shift in DKV is a predisposing factor for knee injuries and disease, such as anterior cruciate ligament injury (ACL), patellofemoral pain syndrome or osteoarthritis. Functional training could be a great tool to reduce DKV. Thus, in this pilot study, nine male youth soccer players (mean age: 16.4 ± 0.2 years) took …

The Ieee 4001 Standard For Hyperspectral Imaging, Torbjorn Skauli, John R. Gilchrist, Christopher Durell

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Describing the properties and performance of a hyperspectral camera is more complex than for a conventional camera. Still, up to now, hyperspectral cameras have been described largely in the same terms as conventional cameras, which fall short of what is needed to convey the actual performance to users and potential buyers. Responding to this situation, the IEEE Standards Association established a working group in 2018 to develop a new standard for hyperspectral imaging. More than 200 members of the hyperspectral community have taken part in the work, representing users, manufacturers, government labs and academia. This extensive work has resulted in …

Dean Samuel Lander Prince Files, 1946-1959 - Guide, Samuel Lander Prince

Prince, Samuel Lander (1946-1959)

No abstract provided.

How To Make Radiometric Vicarious Calibration Methods Ready For The Upcoming Space Projects, Damien Rodat, Morgane Chapelier, Sophie Coustance, Emilie Delogu, Camille Desjardins, Arthur Dick, Morgane Farradeche, Lucas Landier, Clement Luitot, Sebastien Marcq, Aime Meygret, Charlotte Revel, Thierry Erudel, Morgan Farges, Xavier Lenot, Martin Bachmann, Emiliano Carmona, Laura La Porta, Miguel Pato, Karl Segl, Lorenzo Giampietri, Ettore Lopinto, Francesco Sarti

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

The space projects are always designed to push back the frontiers of what is feasible, focusing for instance on spatial, spectral and/or temporal aspects. In any case, the radiometric quality has to meet the end-user’s requirements, which may also be higher and higher. In the frame of optical Earth observation, the French space agency (CNES) is involved in a large panel of upcoming projects addressing new challenges such as the very high spectral resolution for carbon dioxide monitoring with MICROCARB, the combination of both spatial and spectral resolution for a spectro-imager, the thermal infrared domain with TRISHNA, the polarisation with …

Intelligent Intrusion Detection In Clustered Wireless Sensor Networks: A Dynamic Clustering And Machine Learning-Based Approach, Abdullah R. Abdulwahhab, Mohd Fadzli Mohd Salleh, Muhammad Firdaus Akb, Mohammed Najm Abdullah

Iraqi Journal for Computer Science and Mathematics

Traditional Intrusion Detection Systems (IDS) designed for more conventional network infrastructures are often ill-equipped to handle the unique challenges WSNs pose, leading to significant gaps in security and resilience. This paper introduces an Intelligent Intrusion Detection System (IIDS) explicitly tailored for clustered WSNs to address these critical challenges. The proposed IIDS integrates dynamic clustering with advanced machine learning algorithms to create a robust and adaptive security solution capable of real-time threat detection and mitigation. The dynamic clustering mechanism is designed to continuously monitor and respond to changes in sensor node network topology and energy levels, ensuring that energy consumption is …

Non-Overlapping Patch-Based Pre-Trained Cnn For Breast Cancer Classification, Lamyaa Sabeeh Ashour, Ahmed Abed Mohammed, Mustafa M. Abd Zaid, Putra Sumari, Ahmed Kateb Jumaah Al-Nussairi, Sura Abdulateef Al-Shammari, Sarah Thabit Abdulmunem

Iraqi Journal for Computer Science and Mathematics

Breast cancer (BC) significantly impacts women's mortality rates and requires early detection to improve survival chances and enable appropriate treatment. Thus, a computer-aided system with high performance can speed up this process. A convolutional neural network (CNN) is considered sensitive to insufficient, noisy data. It cannot achieve high performance, however, restricted access to high-quality medical data, stemming from stringent confidentiality and privacy issues, is a considerable obstacle to the successful training of deep learning models. The current study aims to develop a remarkable, influential model for BC classification whilst considering modern pre-trained models ResNet50, AlexNet, InceptionV3 and VGG16 for extracting …

Retracted: Navigating The Complexities And Artificial Intelligence Of Internet Of Things Security Claims, Tamara Saad Mohamed, Saad Mohammed Khalifah

Iraqi Journal for Computer Science and Mathematics

The term ``Internet of Things'' (IoT) describes a system that allows everyday objects to communicate with one another and with controlled systems, servers, and other linked devices through a variety of connectivity constructions by means of embedded software, sensor technology, electronics, and connections. Data from the Internet of Things (IoT) will be sent to the servers over the internet from a variety of sensors, nods, and collectors. Governments, medical facilities, consumers, and corporations all make use of IoT devices. approximately, More than 65 billion Internet of Things devices are expected to be in operation by 2024. The proliferation of IoT …

Machine Learning Algorithms To Detect Cyber-Attack In The Internet Of Things Platform, Maad Kamal Al-Anni, Rafah M. Almuttairi, Ammar A. Al-Hamadani, Khamis A. Zidan, Husam Ibrahiem Husain Alsaadi, Ghaidaa A. Al-Sultany

Iraqi Journal for Computer Science and Mathematics

In response to escalating cyber threats in Internet of Things (IoT) networks, this research investigates several traffic classification techniques by using benchmark datasets, such as CICIoT2023. This dataset was exclusively used to test the effectiveness of the proposed system, which aims to enhance the data processing for machine learning algorithms amid increasingly complex cyber threats. To prepare the naturally unstructured and raw dataset for analysis, Linear Discriminant Analysis (LDA) is applied for dimensionality reduction. The processed data and attributes are then fed into the proposed Fuzzy-Integrated Relevance Vector Machine Classifier (FIRVM), which is implemented in Python 3.10⁺ using the …

Increase Card Acceptance In Under-Penetrated Segments: Changing Customer Payment Behavior With Reinforcement Learning, Gen Ai Reasoning, And Card Community Analysis, Nagraj Naidu Mr, Shruti Gupta Ms

Defensive Publications Series

The present disclosure provides a method for behavioral prediction of a cardholder, performed by an artificial intelligence (AI) agent utilizing reinforcement learning in conjunction with a Markov Decision Process (MDP) framework. A Language Learning Model (LLM) acquires state and transition probabilities from an analytical processing unit. The LLM accesses historical interaction data and feedback records from a specialized vector database. The LLM analyzes and assimilates historical information retained within the vector database. The LLM implements cognitive algorithms predicated on defined contextual parameters with the aim of developing a personalized card usage strategy. The LLM orchestrates a sequence of interactive prompts.

Virtual Assistant For Pest Management, Viswanada Chakravarthy Karri

Master’s Dissertations

Effective pest identification and management are essential for ensuring agricultural productivity, especially in regions with limited expert access. This work proposes a virtual assistant based on a Retrieval-Augmented Generation (RAG) [1] framework to support pest management tasks. The system utilizes a multimodal dataset consisting of pest images and annotated textual interactions, adapted from the AgriLLaVA corpus [2]. The assistant combines retrieval mechanisms with generative language models to generate contextually grounded responses. It is designed for deployment on local hardware with limited computational resources, integrating open-source models for both retrieval and generation. Preliminary results suggest that this approach can provide accurate, …

Presentations: Pennsylvania's Environmental Rights Amendment And Environmental Justice, Samantha Phillps Beers, John C. Dernbach, Emma H. Bast, Margaret O. Murphy

Villanova Environmental Law Journal (1991 - )

No abstract provided.

A Beacon Trying To Signal Heading: The Ninth Circuit Interprets The California Whistleblower Protection Act In Killgore V. Specpro Professional Services, Llc, Naseem Memari

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Leadership Strategies To Enhance Funding Performance In Pre-K -12 Public School Districts, Cynthia W. Williams Jones

Walden Dissertations and Doctoral Studies

Some school leaders lack strategies to impact educational funding performance in prekindergarten through 12th grade (PK-12) public schools and increase students’ academic achievement and performance. School leaders and policymakers are concerned with improving educational funding, student achievement, and student performance in PK-12 public schools. Grounded in the Baldrige excellence framework, the purpose of this qualitative pragmatic inquiry study was to identify effective strategies that school leaders use to improve educational funding performance in PK-12 public schools and increase students’ academic achievement and performance. Participants were six PK-12 public school leaders with at least 5 years of leadership experience who had …

The Parthenon, June 11, 2025, Baylee Parsons, Kaitlyn Fleming, Ashton Pack, Nate Harrah, Soleil Woolard

The Parthenon

No abstract provided.

Comparison Of Elementary Dual Language Immersion Programs And Non-Dual Language Immersion Classes Before And After Attrition, Nathaniel Blain Mitchell

Theses and Dissertations

Using a longitudinal, multi-cohort design, this study examines the academic and linguistic effects of student attrition from Spanish-English dual language immersion (DLI) programs, particularly among multilingual learners (MLs). Drawing on 10 years of assessment data from two schools, the study addresses four research questions through multinomial logistic regression and hierarchical linear modeling to evaluate predictors of attrition, reading growth trajectories, and English language proficiency across student subgroups. Results indicated that attrition was most common in the early grades and was modestly associated with disability rates. At the same time, assessment scores were not predictive of program exit. Growth modeling revealed …

From Picturebooks To Play: Dialogic Pedagogy For Cultivating Agency And Social Awareness In Young Learners, Amanda Deliman

Teacher Education and Leadership Faculty Publications

This study examines how young children engage with picturebooks, discussion, dramatic inquiry, and writing to negotiate diverse perspectives and develop empathy in an early childhood classroom. Grounded in sociocultural and critical literacy theories, the research explores the role of dialogic pedagogy in fostering young learners’ agency and social awareness. Utilizing a qualitative single-case study design, data were collected over a full academic year in a second-grade classroom through video recordings, field notes, interviews, and student artifacts. Thematic analysis revealed that dialogic engagements supported students in developing a shared language about empathy, resolving classroom conflicts, and exploring actionable ways to support …

Jules Ngambo V. New York State Department Of Taxation And Finance

2025 Decisions

USDC for the District of New Jersey

Measurement Of Moisture Levels In Oils And Lubricants Using A Novel Moisture Sensor, Aaron Swartz, Ronak Ali

Electrical and Computer Engineering Graduate Research

It is very challenging to measure moisture levels in oils. There is not a good method to measure it. Using the novel moisture sensor invented by Dr. Zhi David Chen, we tried various methods to measure the moisture levels in oils. The initial trials are to immerse the sensor chip into the oils to see any sensor reading changes with the change of moisture levels in oils. It was observed that the sensor reading was unstable even after immersion into the oil for two weeks. The idea for immersion of the sensor chip into the oils failed due to the …

Western Kentucky University Stormwater Utility Survey 2025, Warren Campbell

SEAS Faculty Publications

This survey provides data on 2147 U.S. and 82 Canadian stormwater utilities. The data is intended to provide useful data to communities that wish to enact stormwater utilities. Different fee systems are examined with the goal of avoiding legal exposure. Recently, the major source of pre-disaster mitigation funds was eliminated. States should consider state-wide stormwater utilities to make up for this loss.

2.5d Dual-Encoder U-Net For Lesion Segmentation In Chest Ct Scans, Jagannath Mukkara

Master’s Dissertations

Accurate segmentation of lesions in chest CT scans plays a vital role in diagnosing and monitoring pulmonary diseases such as COVID-19. In this, we introduce a novel 2.5D[1] dual-encoder U-Net model[2] that utilizes both the central slice and its neighboring slices to improve segmentation accuracy while keeping computational demands manageable. Our model incorporates residual connections[3] and feature fusion[4] to effectively merge multi-slice contextual information, overcoming the limitations found in traditional 2D and 3D methods. To ensure a reliable evaluation and avoid data leakage, we used patient-level data splitting. We validate our approach on a carefully curated chest CT dataset, showing …

A Linguistic Analysis Of Humour In Selected Tanzanian Stand-Up Comedy Shows: A Script-Based Semantic Approach, Okoa Simile

Journal of Humanities and Social Sciences

This study analyses humour as a culturally situated linguistic practice by examining how humour is constructed in selected Tanzanian stand-up comedy shows. Specifically, it sought to analyse the linguistic devices comedians use to evoke humour. The study is guided by Victor Raskin’s script-based semantic theory of humour (SSTH). The theory posits that humour arises from the opposition of two conflicting scripts within a linguistic structure. The qualitative research approach was used to guide the study processes. The study analysed nine (9) performances by famous Tanzanian comedians Mr. Eliud Samwel, Mr. Abdalla Musa Njalamoto (TX Dulla), Mr. Silvester Mujuni (Mpoki), and …

Crisis Management Strategies For Sustaining Small Business Operations And Profitability During Unexpected Events, Dr. Brandy Marie Jones

Walden Dissertations and Doctoral Studies

Small business leaders face financial and logistical challenges during crises, such as economic downturns, natural disasters, and supply chain disruptions. This issue is critical for small business owners and policymakers, as effective crisis management ensures economic stability and community resilience. Grounded in situational crisis communications theory, the purpose of this qualitative pragmatic inquiry was to identify and explore effective crisis management strategies that small business leaders use to remain operational and profitable during unexpected events. The participants were seven small business leaders in Dallas, Texas who used effective crisis management strategies to remain profitable during unexpected events. Datum was collected …

Explaining The Feedback Effect In Stuttering: A New Thesis, Manish Rami

Communication Sciences & Disorders Faculty Publications

Conditions such as choral reading, delayed or frequency altered auditory feedback, and masking with noise decrease the frequency of stuttering in people who stutter. This effect is known as the feedback effect. This paper proposes that the speech module mediates these effects. When speech stimuli -as feedback, actively engages the speech module in perceptual processes while the module is in the act of producing speech, the speech module enhances fluency in people who stutter. The characteristics of modules and their implications are considered and some suggestions for investigations are made.