Digital Commons Network^™

Designing With Drafts And Cross-Sections: Reflections On How Representations Of Woven Structure Shape Design Practice, Deanna Gelosi, Laura Devendorf

Textile Intersections Conference Series

The draft, a grid of black and white squares used to specify where a particular warp crosses over or under a weft in woven cloth, is a common representation used to design and describe woven structures. The squares in a draft directly, or with a few modifications, translate to manufacturing instructions, which makes the draft a common representation used in weaving design software. In this paper, we describe how using a different woven structure representation, a cross-section, in a design tool that foregrounds different concerns. Specifically, we describe and reflect on our motivation, design, and initial testing of an interactive …

Textile Digital Drape Definition - Td3: Comparing Digital To Physical Design Considerations, Alexandra Kuijpers, Troy Nachtigall, Maarten Van Bommel

Textile Intersections Conference Series

Fashion design is, by nature, a very hands-on activity in which the touch and feel of a textile are considered vital to the design of the garment. Yet when designers work with digital fashion design software, they rely on digital textile definitions that are visual instead of tangible textile swatches. In this research, we created a new Textile Digital Drape Definition (TD3) that is heavily informed by textile drape properties. We compared the TD3 to traditional tangible textile interaction, via an intense workshop examining eleven textile sample swatches. The digital drape of the TD3 follows standardized textile science drape methods, …

Design Decisions As Leverage Points Of Textile Production And Supply Chain Orientation: Case Textile Colouration, Helmiina Hirviniemi, Maarit Salolainen, Astrid Larsen

Textile Intersections Conference Series

Textile design decisions, from fibres to finished fabrics, are often seen as matters of aesthetics and product functionality. However, these decisions also shape, among other aspects, production systems, supply chain structures, and the environmental impact of textile manufacturing. Textiles are constructed in complex production chains that transform fibres into yarns and ultimately into finished fabrics. At each stage, design and production choices influence not only the visual and technical properties of the final textile but also its ecological footprint and production system. This paper argues that more sustainable textile supply chains are achievable within existing technological capabilities if design and …

Designing With Evolutive Colors: A Proof Of Concept For Bio-Based Dye Integration In Textile Design Digital Workflow, Clarisse Barbot, Camille Fuzier, Bertrand Loïc, De Visscher Emile, Panayotis Mavros

Textile Intersections Conference Series

Current industrial textile production relies on petrochemical dyes. This dependence has led to growing interest in bio-based alternatives, although their adoption remains constrained by technical and cultural factors. In particular, bio-based dyes do not meet typical industrial standards for stability, diversity of colour choices, and reproducibility. Textiles dyed with bio-based colourants tend to exhibit colour changes under light exposure. Current design software systems were built with the conventional expectation of stability of petrochemical dyes in mind, making them ill-adapted to bio-based dye behaviour and thus hampering their industrial adoption. To address this gap, we propose the prototype of a novel …

Hooked: Programmable, Capacitive Sensing Through Crochet As A Medium For Garments With Tactile Interaction, Juliette Hars, Josie Hughes

Textile Intersections Conference Series

Soft capacitive sensing in wearable textiles has many promising applications such as health monitoring, rehabilitation, or intelligent sports garments requiring sensitivity and sensory stability. Existing approaches either rely on rigid or semi-rigid components that compromise conformability, or on conductive yarn arrangements whose sensing geometry is fixed by the textile structure and difficult to adapt at design time. Crochet is an additive, stitch-by-stitch construction process which offers a largely unexplored route to programmable sensing surfaces, in which electrode geometry, baseline capacitance, and sensing range can be tuned directly through fabrication. We present a means of programmable capacitive sensing through crochet, enabling …

Colour Without Extraction: Towards Ethical Pigments, Tonya Meyrick, Jacinta Kay

Textile Intersections Conference Series

This paper investigates how recycled textile waste, reconstituted as particulate pigment, reshapes understandings of material intelligence in textile design, proposing a specifically chromatic account. Through iterative dyeing trials on cellulose substrates conducted within the Perpetual Pigments research initiative, the study examines what occurs when colour is treated as an active participant rather than a controllable output. Drawing on new materialist theory and circular economy frameworks, the paper argues that waste-derived pigments introduce relational dynamics that challenge industrial assumptions of chromatic stability and control. Despite growing interest in bio-colour, recycled pigment systems remain underexamined within design research. This paper responds to …

Developing An Industrial Microbial Colour System Through Textile Printing, Ruth Lloyd, Alice Taylor, James Ajioka, Carole Collet

Textile Intersections Conference Series

Emerging microbial colourants offer potential for more sustainable textile coloration, yet their integration into design and industrial production remains limited by the absence of systems that support their use. While existing biotechnology research has focused on colourant production and environmental performance, less attention has been given to how these materials can be applied within textile workflows. This paper demonstrates how microbial colour can be integrated into textile design through the development of reproducible protocols and a structured colour system. Drawing on practice-led doctoral research conducted in collaboration with the biotechnology company Colorifix, textile printing is used as a method to …

Mechanically Recycling Metallicized Fabrics, Magdalena Kohler, Maya Herron, Tommaso Nieri, Daniele Spinelli, Ilaria Canesi, Zora Kutz, Berit Greinke, Rebecca Stewart

Textile Intersections Conference Series

Electronic textiles (e-textiles) are a problematic technology when designing for sustainability as they combine two of the most polluting industries - textile and electronics. While ‘design for disassembly’ is frequently proposed as a sustainability strategy for the end-of-life of e-textile devices, what happens after components are separated and whether they can still function in new contexts has not been sufficiently addressed. Metallicized fabrics are commonly used in the e-textiles space when crafting/designing to provide conductivity for an array of applications, thus this study is focused on the post-disassembly potential and limitations of these materials. We apply recycling techniques from conventional …

Evolutive Textiles Design With The Variability Of Natural Dyes: A Color-Driven Approach Of Textile Design, Lou Ramage, Camille Fuzier

Textile Intersections Conference Series

In a context of over-standardized color production and stability-based evaluations of dyes, this article proposes a way to embrace and implement natural dyes’ temporal variabilities in evolutive textiles design and discusses how taking these into account modifies textile design practices. As a designer and a material scientist working with a dyer craftswoman, we present an adaptation of color characterisation methods and a chromo-chronological database, and how these tools result in a proof of concept of a tufted piece with pattern apparition, paving the way for a color-driven textile design.

Shaped Circular Knitting For Zero Waste Design: A Material-Driven Approach To Knitted Textile-Forms, Sem Janssen, Holly Mcquillan

Textile Intersections Conference Series

While 3D knitting is proposed as part of a solution to the fashion industry's waste problem, circular knitting is primarily used in wasteful cut-and-sew manufacturing processes and is rarely explored for its shaping potential. Using material-driven design, this research investigates the dimensional and material properties of knit stitch patterns within defined rectangular artworks, enabling the shaping of circular knitted textiles for zero-waste design. To exemplify this approach, we developed a design method that addresses several aspects of the shaping process, highlighting the possibilities for zero-waste shaping and exploring potential applications. Finally, we discuss the implications, limitations, and opportunities of shape-change …

Threading The Line: Switchboard Labor, Bodily Knowledge, And The Textile Traditions Of Telephone Operating, Yuhanxiao Ma

Textile Intersections Conference Series

This paper positions telephone switchboard operating as a textile tradition in the full disciplinary sense: a practice organized around embodied skill, the transmission of bodily knowledge through community, and the production of relational connection as material output. Drawing on feminist labor history, textile theory, and Daniela Rosner’s framework of critical fabulation, it argues that the systematic erasure of switchboard labor by electromechanical automation constitutes a form of textile loss: one structurally identical to the suppression of feminized craft work in computing history. The paper then presents the design logic of This Is Vera, Hold Please, a performance installation in development …

Empowering Generations: The Role Of Family And Consumer Sciences In Advancing Financial Literacy And Resilience, Stephen Molchan

Journal of Educational Research and Practice

In this article, I explore the critical role of family and consumer sciences (FCS) in advancing financial literacy and resilience across generations. By addressing systemic financial challenges and integrating financial education into its curriculum, FCS empowers individuals and families to make informed decisions and build secure futures. The article highlights strategies such as early intervention, culturally relevant programs, and community outreach, emphasizing how FCS equips individuals with practical skills in budgeting, saving, debt management, and risk assessment. I discuss the importance of advocacy for financial inclusion and consumer protection as a means to create equitable opportunities for financial well-being, underscoring …

When Students Use Ai Before They Learn To Think Clinically: Cognitive Offloading In Communication Sciences And Disorders Education, Salim Alani

Teaching and Learning in Communication Sciences & Disorders

Generative artificial intelligence is becoming part of how students study, write, summarize, and prepare for coursework in communication sciences and disorders (CSD). Much of the current discussion in higher education has focused on plagiarism, academic integrity, and responsible technology use. Those concerns matter, but they do not fully address what may be a larger educational issue in professional preparation programs. Students can now generate polished explanations, study materials, treatment rationales, and clinical summaries quickly, sometimes before independently developing the reasoning skills those tasks are intended to build. This paper examines cognitive offloading in CSD education, defined here as the shifting …

From Detection To Segmentation: Adapting Yolo26 For Surface Crack Delineation, Mohammed Al-Mustafa, Israa H. Ali

Journal of Intelligent Informatics, Networking, and Cybersecurity

Surface crack delineation plays an important role in infrastructure inspection because accurate pixel-level mapping of cracks can support condition assessment, maintenance planning, and automated monitoring of roads and other civil surfaces. However, recent crack segmentation methods often depend on heavy network designs or prompt-based foundation models. It also remains unclear how a lightweight detection-oriented model behaves across different data organizations and unseen images. This study therefore investigates whether YOLO26m-seg, the medium segmentation variant of the recent YOLO26 family, can be adapted into an effective and practical pipeline for surface crack delineation. The proposed workflow has four main steps. First, binary …

Simotang Oral Liquid Alleviates Functional Dyspepsia-Related Motility Dysfunction Through Ca²⁺-Dependent Smooth Muscle Contraction And Nrf2/Nf-Κb Modulation, Guo Mao, Chunxiang He, Jiaqin Liu, Dahua Wu, Puhua Zeng, Ye Mao

Journal of Food and Drug Analysis

Functional dyspepsia (FD) is a disorder of gut-brain interaction involving heterogeneous motor, sensory, immune, and oxidative stress-related mechanisms. Simotang oral liquid (SMT), a traditional Chinese medicine formulation used for dyspeptic and gastrointestinal motility-related symptoms, has not been evaluated with an integrated clinical, functional, and molecular framework. This single-arm prospective pre-post study assessed gastric emptying by the 13C-octanoic acid breath test, gastric electrical activity by electrogastrography, postprandial tolerance by nutrient drink testing, symptom scores, serum biomarkers, and gastric antral tissue markers in patients with FD. FD-like mice were used for charcoal meal transit, smooth muscle strip tension, calcium channel blockade, and …

Local Ramp Metering Strategies: Recommendation For Implementation Ramp Metering In Baghdad, Iraq, Ali S. Saleh, Ali E. Jehad

Engineering and Technology Journal

Ramp metering is one of the most widely used traffic management practices to alleviate congestion on freeways. Although the use of such algorithms has proven effective in developed transportation systems, this adaptation and installation of suitable ramp metering algorithms can still be a problem in developing countries, especially when traffic characteristics, data availability and institutional capacity differ greatly from the developed ones. This paper is a systematic review of local responsive ramp metering strategies covering more than ninety publications from 1991-2026. The review identifies four categories of strategies: threshold-based, feedback-based (such as ALINEA and its variations), optimization-based and AI-based. The …

Predicting Student Performance In Introduction To Information Technology Using Regression-Based Learning Analytics And Instructional Intervention Data, Masyitah Abu, Nur Azlina Mohamed Mokmin, Ummu Salmah Mohamad Hussin, Hafirda Akma Musaddad

Al-Bahir

This study examines student performance across three instructional intervention strategies in an Introduction to Information Technology subject at a Malaysian private university in Perak. The dataset was obtained from the university system and involved a seven-week short-semester teaching period. A total of 308 diploma students were included and divided into three existing class groups: traditional lecture-based learning (n = 103), multimedia-assisted learning (n = 100), and blended learning (n = 105). Each group was exposed to a different instructional approach delivered by a different lecturer. Student performance was assessed through quizzes, assignments, midterm examination, and final examination. The study analyzed …

Steering Minutes 09/15/2026, Steering Committee

Steering Committee

No abstract provided.

Usa V. Charles Brooks

2026 Decisions

USDC for the Eastern District of Pennsylvania

Usa V. Charles Sechler

2026 Decisions

USDC for the Middle District of Pennsylvania

Association Between Nonsyndromic Congenital Heart Disease And Childhood Cancer In A Population-Based, Retrospective Cohort Of 11 Million Children, Jeremy M Schraw, Karin C Mims, Sara B Stephens, Sonja A Rasmussen, Emily J Mason, Tania A Desrosiers, Charles J Shumate, Wendy N Nembhard, Mahsa M Yazdy, Eirini Nestoridi, Amanda E Janitz, Jean Paul Tanner, Russell S Kirby, Jason L Salemi, Chad D Huff, Sharon E Plon, Shaine A Morris, Philip J Lupo

Faculty, Staff and Students Publications

Background: Epidemiologic studies have demonstrated associations between congenital heart disease (CHD) and childhood cancer. However, these assessments have not fully accounted for the pathogenetic and clinical heterogeneity of CHD, limiting their capacity to inform pathogenetic studies and the clinical management of children with CHD.

Methods: To achieve a more detailed understanding of cancer risk in children with nonsyndromic CHD, we evaluated 60 cardiac lesions in 7 categories in a cohort of 11 million children from Massachusetts, North Carolina, Oklahoma, and Texas. We used Cox proportional hazards regression to estimate the hazard ratios (HRs) and 95% CIs of cancer in children …

Evaluation Of Deep Learning Techniques For Intrusion Detection In Cybersecurity, Doaa El-Shahat, Mohamed Mahmoud Abdelaziz, Waseem Akram, Muhammad Jabir Khan

Sustainable Machine Intelligence Journal

The increasing prevalence of Internet of Things (IoT) technology is also leading to a rise in potential cybersecurity risks. Therefore, it has become crucial to develop effective solutions using deep learning to enable us to discover the various vulnerabilities that may arise from continuous technological advancements, and to defend against the different types of attacks that fraudsters might use to exploit system weaknesses, such as Distributed Denial of Service (DDoS) attacks, web attacks, and spoofing. Most model failures stem from their reliance solely on detecting spatial patterns and their failure to focus on detecting temporal patterns, resulting in poor performance …

Spatiotemporal Variations Of Tidal Asymmetry Along The Coast Of Taiwan: Characteristics And Implications, Ting-Chieh Lin, Tai-Wen Hsu, Tzu-Chun Huang, Chun-Yuan Lin

Journal of Marine Science and Technology–Taiwan

This study presents the first systematic investigation into the spatiotemporal characteristics and evolutionary trends of tidal asymmetry along the coast of Taiwan from 2003 to 2022, employing a moving window method combined with the S_TIDE toolbox.  By quantifying the skewness of the Main Tidal Asymmetry Combinations (MTAC) and their temporal variations, the study reveals significant regional disparities between the eastern and western coasts.  The western coast is primarily dominated by the M2-M4 combination, with the northwestern region exhibiting a flood dominance pattern and the southwestern region characterized by ebb dominance.  Conversely, the eastern coast, attributed to its open topography and …

Corrosion Testing And Simulation Of Taiwan Offshore Wind Foundations, Yao-Hung Fan, Yen-Fu Liu, I-Ming Pan, Chih-Chung Wen, Hsiu-Chen Yeh, Chien-Ming Lo, Tai-Liang Kuo, Hung-Hua Sheu, Hung-Bin Lee

Journal of Marine Science and Technology–Taiwan

Taiwan is located in the subtropical zone, with high relative humidity and high salinity in the air, and there are marine organisms attached to structures in the sea. This study will analyze the durability of the corrosion structure materials of the underwater foundation of offshore wind turbines based on the local chemical environment and paint materials. The offshore wind turbine underwater infrastructure is placed in the small boat dock area of the National Taiwan Ocean University in Taiwan. Nine kinds of coatings certified by NORSOK M501 were used to prepare specimens, and the metal exposure test was carried out by …

Synchronous Deep Reinforcement Learning For Optimized Storage Assignment Of Ship Blocks, Gawon Lee, Jaehyeon Heo, Misung Kim, Hyerim Bae

Journal of Marine Science and Technology–Taiwan

This paper presents a deep reinforcement learning (RL) framework for optimizing block storage allocation in shipbuilding yards. During the shipbuilding process, vessels are constructed in block units to maximize the operational efficiency. Following assembly, these blocks must be stored in limited yard spaces, creating a complex variant of the binary packing problem. This storage allocation problem is further complicated by operational constraints, including the barge capacity and transportation time restrictions. Moreover, poor storage decisions can lead to redundant block movements, which can adversely affect downstream processes and increase operational costs. To resolve this problem, a policy-gradient-based synchronous RL model was …

Spartan Daily, September 15, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 10

Book Review: Arming East Asia: Deterring China In The Early Cold War, Richard H. Immerman

Parameters Bookshelf – Online Book Reviews

Author: Eric Setzekorn

Reviewed by Richard H. Immerman, emeritus professor of history, Temple University

Covering American policy toward Asia in the Harry S. Truman and Dwight D. Eisenhower administrations, Arming East Asia: Deterring China in the Early Cold War looks to “enhance the historical sensibilities of contemporary policymakers, thereby enabling them to make informed—and by implication, better—decisions as the United States again confronts an aggressive China in the twenty-first century,” according to the reviewer. It focuses on the years 1952–60, though offers no “surprises for informed readers.”

Copyright: ©2026 Richard H. Immerman

Book Review: Nexus: A Brief History Of Information Networks From The Stone Age To Ai, David R. Leard

Parameters Bookshelf – Online Book Reviews

Author: Yuval Noah Harari

Reviewed by Colonel Daniel R. Leard, US Army War College Fellow at Princeton University

Built on the ideas that stories are important and bind civilizations, which results in human societies working as information networks, Nexus: A Brief History of Information Networks from the Stone Age to AI, by Yuval Noah Harari, is the third book exploring the evolution of humanity. Harari unpacks the idea that the networks people create have flaws and people tend to exploit these flaws to misuse power. Though the topic is heavy, the reviewer notes, Harari “presents deeply complex issues in …

Leakage-Safe Boosting Ensembles With Shap Explainability For Alzheimer's Disease Risk Prediction: A Rigorous Multi-Classifier Benchmark On Global Structured Clinical Data, Hadeer Mahmoud, Fady Salama

Sustainable Machine Intelligence Journal

Alzheimer's disease (AD) is a major public health challenge, and scalable non-invasive risk-stratification tools are needed. We benchmarked 11 machine-learning classifiers on a publicly available global structured Alzheimer's prediction dataset (N = 74,283; 24 predictors) using leakage-safe sklearn/imblearn pipelines. Four resampling strategies were assessed with stratified cross-validation; preprocessing included imputation, IQR-based outlier capping, feature engineering, one-hot encoding, and standardization. The leading models underwent HalvingRandomSearchCV optimization, followed by soft-voting and stacking ensembles. Performance was evaluated on a held-out 20% test set and interpreted with SHAP, permutation importance, and built-in feature importance. No resampling was selected in Stage A (composite score = …

Explainable Deep Learning For Forensic Wound Analysis: A Survey Of Injury Classification, Gunshot Wound Interpretation, And Toward Court-Admissible Ai, Zakaria Ahmed, Zeshan Aslam Khan

Sustainable Machine Intelligence Journal

Wound analyses conducted in forensics continue to be based on visual interpretation of pathologists and therefore exhibit variations among observers, especially when dealing with unusual injuries. Recent research using deep learning algorithms has proven that automated identification of wounds and interpreting gunshot wounds has achieved success with high levels of accuracy, ranging between 88% on large human datasets in distinguishing exit/entrance wounds and 94% to 98% in shooting distance and shotgun patterns. Nonetheless, most of these models still operate as black boxes. In this systematic review of deep learning methods in forensic wound assessment, there is emphasis placed on three …