Digital Commons Network^™

Fog Collection - Materials, Techniques And Affecting Parameters - A Review, Abdullah A. Elshennawy, Mohamed M. Awad, Magdy Y. Abdelaal, Ahmed M. Hamed

Seatific Journal

Water scarcity has shown a great challenge during the past decades with millions suffering from lack of potable water. Although, people try to benefit from the water naturally existing in air by two sources: fog and humid air. In this paper, we mainly allot the work on fog water. Fog collection is undergone using fog mesh collectors. There are lots of methods to rate the quality of fog water collection. Most used method is the quantity of water collected in kilograms for a one square meter harvester mesh per one hour. However, sometimes water contact angle on a flat surface …

Freedom And Evolution In Science, Adrian Bejan

Seatific Journal

This article is about evolutionary design and freedom and is based on my new book, Freedom and Evolution: Hierarchy in Nature, Society and Science [1]. There is a lot to say about this broad subject, therefore I’ve reduced it to the topics of thermodynamics, freedom and evolution, diversity and hierarchy, and science and freedom. First, I will present the terminology, which will be followed by the applications of the evolution of cooling technology for high-density heat-generating components in a packet. Finally, I will show why this book is important for you, the reader, as well as for the practitioner.

Ships And Sea Structures With A Hydrodynamic Perspective, Odd Magnus Faltınsen

Seatific Journal

This article concentrates on aspects of marine technology such as fish cages, ships, sea structures, and marine operations. It addresses net cages and closed-containment fish farms through sloshing while discussing both displacement and high-speed vessels. The ship topics under consideration include CO2 emissions in waves, dynamic instabilities, whipping and springing, maneuvering in waves, and sloshing-induced slamming in prismatic LNG tanks. The considered sea structures include offshore platforms used for gas and oil exploration and production and for renewable energy. The article also discusses lowering and lifting of objects through the free surface from ships and addresses the accidental dropping of …

Development An Experimental Method To Investigate Hydrodynamic Drag, Serkan Türkmen, Mehmet Atlar, Irma Yeginbayeva

Seatific Journal

Newcastle University [UNEW] has enhanced the test section of their existing water channel facility. The new measurement section is utilized to measure pressure drop (and hence frictional drag) across a standard flat test panel (length=0.6 m; width=0.22 m). The panel can be tested as cleanly coated as well as exposed to light biofilm growth. Based on measured pressure gradients, the skin friction coefficients of these surfaces are calculated and compared with other well-established methods (i.e., measuring the boundary layer of similar surfaces using a [LDV] system in UNEW’s Emerson Cavitation Tunnel [ECT], to evaluate the pressure drop methodology. This paper …

Performance Evaluation Of Spectral Wave Model Caused By Era-Interim, Era5, And Cfsr Wind Fields In The Black Sea, Fulya Islek, Yalçın Yüksel, Adem Özdemir

Seatific Journal

The main objective of the present study is to evaluate the performance of the MIKE 21 SW (Spectral Wave) in a semi-closed basin (Black Sea). Wind data were obtained from ECMWF ERA-Interim, ECMWF ERA5, and NCEP CFSR. The wave model was calibrated and validated with wave measurements recorded at seven different stations along the Black Sea coastlines. In the calibration, several different physical parameters were tested to determine the optimal model settings, and the whitecapping parameter (Cds) was more influential than the bottom friction parameter (kn), wave breaking parameter (γ), and nonlinear wave-wave interactions in the prediction of the Black …

The Dynamics Of Human Society Evolution: An Energetics Approach, Ram Chandra Poudel, Jon G. Mcgowan

Seatific Journal

Human society is an open system that evolves by coupling with various known and unknown (energy) fluxes. How do these dynamics unfold precisely? Energetics may provide further insights. We expand on Navier-Stokes’ approach to study non-equilibrium dynamics in a field that evolves over time. Based on social fi eld th eory, an induction of th e cl assical fie ld theories, we define social force, social energy, and the Hamiltonian of an individual in society. The equations for the evolution of an individual and society are sketched out based on the time-dependent Hamiltonian that includes power dynamics. We demonstrate in …

Metamodels For Seakeeping Assessment Of Fishing Vessels, Giorgio Trincas, Roberto Rocchi

Seatific Journal

The most significant goals of this paper are: (i) to provide additional insight on the influence of hull form parameters on seakeeping performance of typical Mediterranean fishing vessels; (ii) to develop efficient and reliable metamodels for fast and reliable evaluation of seakeeping performance in am multiattribute decision-making environment; (iii) to facilitate and speed up the selection of the design with the best possible seakeeping performance at conceptual design stage. To enhance the accuracy and applicability of predictions of seakeeping characteristics and to find out guidelines for design scope, new metamodels have been developed from an extended database of 57 cases, …

Integration Of The Kalina Cycle In A Tanker Ship And Analysis Of Its Effect On Energy Efficiency, Erkin Yücel, Begüm Doganay, Fikret Gökalp, Nihat Baycık, Yalçın Durmuşoğlu

Seatific Journal

In terms of energy efficiency, one of the main methods to avoid waste of resources is to utilize waste heat energies. The Kalina cycle is used as a bottom cycle in many areas and is used for the generation of electrical energy from waste heat energy. About 90% of world trade is carried out by sea transport. For this reason, the recovery of waste heat released into the atmosphere from ships is great importance in terms of both global pollution and energy efficiency. In this study, the recovery of waste heat energy from the exhaust gas at a temperature of …

Numerical Investigation Of Flow Over Tandem And Side-By-Side Cylinders, Arif Mentese, Seyfettin Bayraktar

Seatific Journal

In the present paper, two-dimensional unsteady flows over circular cross-section cylinders are analyzed numerically. The effects of placement of the cylinders are investigated for two different arrangements: tandem and side-by-side. Several turbulence models are tested, and it is found that Spalart-Allmaras turbulence model is the best among one- and two-equation turbulence models. The most appropriate time step, which is one of the important parameters in unsteady simulations, is found as 0.002 seconds. After successful validations, the cylinders are positioned as side-by-side and tandem. The effects of the arrangement on flow regime, drag coefficient, lift coefficient and Strouhal number are presented …

Computational Prediction Of Hydrodynamic Coefficients For Heave Motion, Ferdi Çakıcı, Emre Kahramanoğlu, Süleyman Duman, Ahmet Dursun Alkan

Seatific Journal

In this study, the hydrodynamic coefficients associated with heave motion are obtained by using unsteady Reynolds-averaged Navier-Stokes (URANS) approach. The well-known Wigley hull is selected for the calculations of uncoupled added mass and damping coefficients (A33, B33) in deep water. Numerical simulations are performed for six different oscillation frequencies at the Froude number 0.3. First, the 3D ship model is forced in the heave direction with certain frequencies and then the hydrodynamic coefficients are computed with the help of Fourier series expansion. Numerical results are compared with those obtained by the experiments and strip theory. The verification and validation study …

Performance Analyses And Optimization Of A Regenerative Supercritical Carbon Dioxide Power Cycle With Intercooler And Reheater, Asım Sinan Karakurt, Ibrahim Furkan Ozel, Semih İskenderli

Seatific Journal

Supercritical CO2 (sCO2) power cycles play an important role in energy production as they are more efficient and more compact than conventional energy production systems. Therefore, they are widely used in different systems such as nuclear systems, renewable energy systems, heat recovery systems, fossil power plants, submarines, and some commercial and navy ships that produce a wide range of power operating in different temperature ranges. It has become very popular especially in recent years due to its widespread use and technical capabilities. This study analyses the effects of some design parameters (pressure ratio and temperature ratio) on the performance criteria …

Enhanced Image Retrieval Under Scene Changes For Indoor Localization Using 3d Gaussian Splatting And Object Masking, Jongwon Lee, Hongsheng Yu, Chao Guo, Fengtao Fan

Defensive Publications Series

We propose a method for image retrieval in indoor scenes that are subject to perceptual changes caused by the temporal replacement of common household objects. To address this challenge, we propose a method that masks out these dynamic regions in either the query or database images, allowing retrieval based on the static scene elements. Additionally, we augment the database by rendering images from unseen viewpoints using 3D Gaussian splatting, thereby making candidate matches more likely to be retrieved from an augmented database. Each design choice is supported by the corresponding supporting experiments. Through evaluation on a dataset collected in several …

Dynamic Frame Sampling For Multimodal Large Language Model Video Understanding, Beltrán Labrador, Georgi Stephanov, Yury Stuken, Fabio Sulser, Ilia Akolzin, Olivier Siegenthaler, Ágoston Weisz, Manuel Tragut

Defensive Publications Series

Video understanding using multimodal large language models (LLMs) includes recognizing objects, actions, scenes, and extracting meaningful insights from video streams. To reduce computational burden, a subset of frames sampled from the video are fed to the LLM. However, this can reduce the accuracy of LLM inference when the video includes salient information in a small set of frames and is wasteful when the video has slow-moving scenes. This disclosure describes a dynamic subsampling technique that can be used to select the most salient frames with a higher likelihood. Specifically, attention-guided frame selection, 3D convolutional feature extraction, and entropy-based subspace projection …

Audio-Video Synchronization Using Machine Learning, Avichal Rakesh, Mozart Alexander Louis

Defensive Publications Series

Audio and video components of a video can fall out of alignment for a variety of reasons, e.g., since they are recorded separately, due to encoding errors, etc. The viewing experience is degraded when audio and video are out of sync. Manual synchronization is expensive. This disclosure describes the use of a machine learning model to determine synchronization information for audio and video streams that are to be synchronized. The audio and video streams are provided as input to a multimodal model, e.g., a large language model that can handle both audio and video. The model is tasked with outputting …

Scalable Real-Time Bias Detection And Mitigation In Ai-Based Application Evaluation, Puneet Mahajan

Defensive Publications Series

Employing artificial intelligence (AI) for evaluating AI applications poses a number of challenges, including the detection and mitigation of various biases. This disclosure describes a multi-faceted approach for dynamically identifying and mitigating biases in AI-based evaluation. Potential biases can be detected by analyzing inconsistencies and discrepancies between the outputs of the primary and auxiliary evaluator models via an ensemble learning framework, optionally assisted by human evaluators. Specific adversarial examples can be generated and used to identify hidden biases in the primary AI evaluator. Detected biases can be mitigated by employing reinforcement learning to make continuous real-time adjustments to counteract the …

Generating Content Recommendations For User Groups Using A Large Language Model, Sathya Anurag Siruguppa

Defensive Publications Series

The large number of available content options from streaming audio and video service providers poses a challenge for providing useful recommendations to users, especially when a group of users with diverse viewing interests want to collectively engage with content. This disclosure describes techniques that leverage a large language model to generate a feature dataset based on user-permitted metadata for individual users of a group of users and content metadata for available content. A composite rating for individual pieces of content is determined and suitable content for the group is identified.

Enhanced Text Entry Assistance On Smart Devices Using Generative Artificial Intelligence, Yuanbo Zhang, Yuqing Zhong, Yang Lu, Xu Liu, Shumin Zhai, Renjie Liu, Lan Wei, James Su, Haoyue Tong, Haicheng Sun, Fan Yang

Defensive Publications Series

Users entering text on smart devices can receive artificial intelligence (AI) assistance for spelling and grammar corrections, content generation, content refinement, exploration, etc. However, providing a coherent user interface (UI) for AI assistance across different applications and device form factors can be challenging. The disclosure describes techniques of text input assisted by generative AI that enable frictionless content creation, revision, and exploration using a software keyboard-based user interface that is consistent across applications and devices. A user experience (UX) flow that is cognizant of the ambiguity inherent in content creation and open-ended content revision enables human-AI interactivity. A suitable large …

Adaptive Multimodal Speech Compression With Generative Priors, Roger William Graves

Defensive Publications Series

This disclosure describes techniques that leverage generative artificial intelligence to efficiently compress and accurately synthesize speech. Speech compression is achieved with personalized adaptation and with low perceptual loss. Per the techniques, a raw audio recording of a user is transcribed to text and is also used by a generative artificial intelligence (AI) speech synthesis model to create a fine-tuned personalized model of the user’s speech. A low-fidelity quantized representation is generated of information such as prosody, amplitude, inflection, etc. The transcript, the quantized audio data, and the personalized, fine-tuned model are compressed and saved. The compressed data is provided to …

Simplified Digital Payments Without The Use Of A Payment App, Manasa Babu, Shay Seng

Defensive Publications Series

Making a digital payment requires users to have a smartphone or another device with a payment app and with internet connectivity. This can present barriers to adoption for some users such as those with limited device storage, weak or no internet connectivity, users of feature phones or the use of feature phones. This document describes the use of alternative authentication techniques such as biometrics, voice identifiers, one-time passwords, or QR codes that can be used to initiate and authorize digital payment. A merchant can request a paying user to provide any of these factors to initiate a payment request. The …

Faculty Authors And Creators Reception 2025 - Annotated Bibliography, Erin Sheffner

Faculty Authors and Sponsored Grant Recipients Reception Bibliographies

An annotated bibliography compiled by the University Library of the publications featured at the annual Faculty Authors and Creators Reception held May 8th, 2025 at Governors State University.

Faculty Highlights: Dr. Scherrayn Phillip-Garcia Assistant Professor, Social Work, Office Of The Provost

Faculty Highlights

Celebrating Dr. Scherrayn Phillip- Garcia: NCATS Training Program - Cohort 2 Program Stipend Award Recipient

Banning Congressional Stock Trading: Will Congress Vote For A Bill That Prevents Them From Profiting Off Industries They Regulate To Help Restore The Country’S Faith In The Political Process?, Priyanka Patel

Seton Hall Journal of Legislation and Public Policy

No abstract provided.

Unmarried, Married, And Divorced People In The Mountain West, 2023, Dre Boyd-Weatherly, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet presents the ratio of unmarried men to unmarried women, as well as percentage rates of single, married, and divorced people for sixteen Mountain West cities in Arizona, Colorado, Nevada, and New Mexico. The Smart Asset report, “Where Most People Are Single or Married – 2025 Study” reports data for the 119 most populous cities in the U.S. from the 2023 one-year American Community Survey conducted by U.S Census Bureau.

Integrating Music Content Into The Secondary Mathematics Classroom: Facilitating The Process Of Designing Interdisciplinary Lessons, Denae Bumpus

Honors Projects

Many people enjoy music, and music has a multitude of connections to mathematics, so it makes sense for a mathematics classroom to incorporate musical elements into the instruction, but the literature has shown that many math teachers do not have a strong enough musical background to feel confident in incorporating music into the math class. Therefore, this research sought to provide a resource to help secondary mathematics teachers integrate age-appropriate musical applications to their mathematics lessons which connects standards of mathematics into standards of music. Specifically, the paper connects the Ohio Standards of Mathematics for Geometry with the course objectives …

Infographic: What You Love About Teacher Librarianship, Dominique Russell

Teacher infographics

In our latest annual reader survey, we asked you what you love about your role. In this infographic, we share some of the responses we received from teacher librarians.

News You Can Use: Fighting Infections While Expecting, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – Pregnant women often think, or are told, they cannot take medications during pregnancy to avoid harming the mom or baby. But one University of Mississippi professor is hoping new research will help medical professionals reexamine those recommendations.

The Fierce Green Fire: Vol. 15 Issue 9, Wofford College Environmental Studies Program

The Fierce Green Fire

No abstract provided.

An After-School Adaptive Bicycle Program For Children With Disabilities: A Pilot Feasibility Study, Makenzie Dietz, Nicole Fuchs, Alli Hill, Kloe Muntz, Megan Petric, Sophia Wahib, Betsy Donahoe-Fillmore, Trisha Renner

University of Dayton Doctor of Physical Therapy Annual Research Symposium

Purpose/Hypothesis: Cycling has broad health benefits and is therapeutic across many populations. Physical therapists commonly fit children with gross motor delays for adaptive bicycles and assist with training during therapeutic intervention. Limited evidence exists regarding formalized adaptive bicycling programs apart from traditional therapy. The primary aim of this study was to investigate if an after-school adaptive cycling program is feasible in children with motor delay. The secondary aim was to determine if it can improve balance, endurance and functional strength in children with disabilities.

Number of Subjects: Ten children with motor delays, ages 6 to 11 (mean 7.7) years participated. …

Pre-Health Students Gain Real-World Experience Through Healing Hearts, Skylar Christian

College of Arts and Sciences Newsroom

Healing Hearts provides meaningful service opportunities for students in pre-health tracks.

2025 May 8 - Academic Council Agenda And Minutes, Academic Council, East Tennessee State University

Academic Council Agenda and Minutes

No abstract provided.