Digital Commons Network^™

Early Life Exposure To Antibiotics Increases The Risk Of Myopia: A Retrospective Cohort Study, Peng-Tai Tien, Chang-Ching Wei, Sheng-Chun Lin, Ping Ping Meng, Yu-Te Huang, Jamie Jiin-Yi Chen, Ming-Yen Wu, Ying-Hsiu Shih, Tzu-Ju Hsu, Fuu-Jen Tsai, Yao-Chien Wang, Hui-Ju Lin, Lei Wan

BioMedicine

Background

Myopia is a growing health issue, expected to affect nearly half of the global population by 2050. Genetic predisposition and early environmental influences both play crucial roles in the development of myopia. Identifying modifiable risks and early interventions is critical. Antibiotics, commonly given to young children, may disrupt gut microbiota, which has been linked to ocular diseases in humans and animals.

Aim We aimed to investigate the association between antibiotic use in early life and the risk of developing myopia.

Methods Retrospective cohort study using data from a national health insurance database examined children aged three years or younger, …

Traditional Chinese Herbal Medicines Suppress Endometriosis Development Through Modulating Macrophage-Mediated Immune Responses In The Peritoneal Cavity, Cherry Yin-Yi Chang, Kung-Pin Chang, Pei-Fen Lee, Hsiang-Hao Chuang, Yun-Yi Su, Yu-Chi Chang, Man-Ju Yan, Chih-Mei Chen, Tritium Hwang, Huan-Yuan Chen, Chia-Jung Lig, Zhi-Hong Wen, Kuan-Hao Tsuig, Lun-Chien Lo, Jim Jinn-Chyuan Sheu

BioMedicine

Background: Due to unique dietary culture, Asian patients with endometriosis usually seek assistance through traditional Chinese herbal medicine (TCHM), making combined treatments of Western and Chinese medicine quite common in Asia. However, limited molecular evidence has been provided to demonstrate the therapeutic benefits of TCHM in treating endometriosis.

Aims: To investigate the functional impacts of TCHM treatment in their traditional formulae on peritoneal immunity, lesion growth, and adhesion formation, we performed studies by using a disease mouse model that exhibits the features of blood stasis and stagnation.

Methods: Four well-known TCHM formulae, frequently used for treating symptoms similar …

Hepatoprotective Evaluation Of Benzoylated Emodin Derivatives: Integrating Bioinformatics And In Vitro Studies, Firdayani Firdayani, Putri Hawa Syaifie, Siska Andrina Kusumastuti, Muthia Rahayu Iresha, Wirawan Adikusuma, Dhecella Winy Cintya Ningrum, Etik Mardliyati, Ayu Masyita, Ariza Yandwiputra Besari, Fathir Azzaki Iradata, Lucy Arianie

BioMedicine

Background: Emodin exhibits various pharmacological activities, including hepatoprotective effects. However, its clinical application is limited by poor absorption and low oral bioavailability. This study aimed to optimize emodin through benzoylation and to assess the hepatoprotective potential of the resulting derivatives integrating bioinformatics and in vitro methods.

Methods: We conducted network pharmacology, molecular docking and molecular dynamics (MD) simulations to predict potential targets and interactions of benzoylated emodin derivatives. The derivatives were synthesized and evaluated for cytotoxicity using the MTT assay. The hepatoprotective effects were assessed in vitro using a paracetamol-induced HepG2 cell injury model.

Results: Network pharmacology analysis and gene …

Algorithm Development For Vehicle Detection And Counting With Application Of Opencv, Olajide M. Babatunde, Alase A. Daniel, Obi E. Nnamdi, Kuponiyi S. David, Aina O. Adeola

Al-Bahir

Accurate vehicle detection and counting play a crucial role in traffic monitoring, intelligent transportation systems, and urban planning. This study presents an algorithm for vehicle detection and counting using OpenCV, leveraging image processing and computer vision techniques. The proposed method incorporates background subtraction, contour detection, and object tracking to accurately identify and count vehicles in real-time video streams. The algorithm is tested on various traffic scenarios to evaluate its efficiency and accuracy. Experimental results demonstrate the effectiveness of the approach. The developed system provides a cost-effective and scalable solution for automated traffic analysis, offering potential applications in traffic management, congestion …

The Correlation Between Perceptual Abilities And The Acquisition Of Non-Native Consonant Clusters, Hope Emma Nielson

Theses and Dissertations

A common approach in the study of speech motor learning is to have speakers learn to produce clusters of consonants that do not occur in their native language. This study investigated the relationship between auditory or speech perceptual abilities and the initial acquisition of non-native stop-stop consonant clusters. Sixty young adult participants (56 female, four male) were administered a gap detection test and a speech-in-noise test to assess their innate perceptual skills. The participants then performed a nonsense-word repetition task featuring non-native consonant clusters in the initial position. The participants' spoken productions of the nonwords were recorded and analyzed acoustically …

Review Of Monika Woźniak And Maria Wyke (Eds.). 2025. Audio-Visual Roman Women: Gender, History And Screen Media. London: Bloomsbury Academic. Pp. 353. Hardcover (Isbn 978-1-3504-6183-3). E-Book (Isbn 978-1-3504-6186-4). $120., Briana King

New England Classical Journal

No abstract provided.

Weekly Published Magazine Covers During World War Ii: Cover Photos Used To Represent The Wartime Experience, Annika B. Larson

Theses and Dissertations

Weekly published magazines served largely as news outlets during World War II, and the images on the covers of these magazines were not only an attention catcher and tone setter, but were images chosen to represent the ever-changing landscape both on the homefront and internationally. In addition, these publications often used photographs that represented the developments their allies and enemies were making in tandem with domestic coverage. The entities publishing the magazines were managed by both the government and independent civilians, dependent on the country, thus providing different views of the war. The coverage in the United States and United …

The Bloom Of Atē: Women's Lives, Pain, And Metaphor In Sophocles' Trachinian Women, Casey Dué, Mary Ebbott

New England Classical Journal

This essay explores recurring metaphors for pain in the Trachinian Women and argues that they gain their meaning from the experiences of the women Deianeira and Iole, to later express the physical pain of Herakles, which is further conceptualized as atē. These metaphors employ imagery associated with natural cycles, such as blooming flowers and ocean waves. The metaphorical connections between the women’s emotional pain and Herakles’ physical agony helps us to arrive at a fuller understanding of what is meant when Herakles concludes that he is “like a parthenos” and has been found to be female (1071 and …

Review Of William Aylward, Jacques Des Courtils, Bonna D. Wescoat (Eds.). 2025. Architectural Networks In The North Aegean: Thasos, Samothrace, And The Formation Of Hellenistic Design. Madison, Wi: University Of Wisconsin Press. Pp. Xi, 307. Hardcover. (Isbn 9780299350109) $119.95., Asja Müller

New England Classical Journal

No abstract provided.

Inflammaging In Aged Tissues Drives Remodeling Of The Cd8+ T Cell Compartment, Irina Shchukina, Carlos J Rodriguez-Hernandez, Heather S Ruiz, Maksim Kleverov, Rachel L Mintz, Katsutaka Mineura, Subhadra C Gunawardana, Sunnie Hsiung, Bishan Bhattarai, Veronika Vachova, Jan Kossl, Denis A Mogilenko, Rachael L Field, Tran H Nguyen, Quazim A Alayo, Christopher G Huckstep, Barbora Vander Wielen, Jonathan R Brestoff, Sheila A Stewart, David W Piston, Takeshi Egawa, Daniel Kreisel, Gwendalyn J Randolph, Maxim N Artyomov

2020-Current year OA Pubs

Aging strongly impacts CD8

Isg15 Negatively Regulates Ripk3-Mediated Cell Death And Viral Pathogenesis, Yi-Chieh Perng, Jessica M C Warsaw, Sachendra S Bais, Bradley E Hiller, Marissa C Locke, David J Morales-Heil, Chaoqun Li, Alissa R Young, Kristen J Monte, Robert E Schmidt, Douglas R Green, Yi-Nan Gong, Deborah J Lenschow

2020-Current year OA Pubs

Necroptosis, a form of programmed, inflammatory necrosis, plays an important role in viral-host defense and inflammation. The receptor-interacting protein kinase 3 (RIPK3)/mixed lineage kinase domain-like pseudokinase (MLKL) pathway mediates necroptosis. Yet, the mechanisms that control necroptosis to limit immunopathology are poorly understood. Here, we report that interferon-stimulated gene 15 (ISG15) negatively regulates RIPK3-mediated cell death, including necroptosis, and limits immunopathology during chikungunya virus (CHIKV) infection. ISG15-deficient mice infected with CHIKV display increased levels of necroptosis, resulting in elevated proinflammatory cytokine and chemokine production, leading to increased lethality. This dysregulated host response is fully prevented when MLKL or RIPK3 is ablated …

The Constitutional Dimension Of Ai: A Phenomenology Of Cybernetic Power, Andrea Simoncini

Maryland Law Review Online

No abstract provided.

High On Uncertainty: Ada Accommodation And Hemp-Derived Substances Afteranderson V. Diamondback Investment Group, Llc, Emma Lyles

Maryland Law Review Online

No abstract provided.

Ai-Infused Writing-Intensive Problems For Introduction To Programming In C++, Esma Yildirim

Open Educational Resources

This exercise book uses Writing-Intensive (WI) pedagogy in an introductory programming course setting, because I believe WI can help students engage in deeper analysis of programming problems while strengthening their critical and analytical thinking skills. In computer science, a single problem can often be solved using multiple algorithms, designs, and implementation strategies. Exploratory thinking and reflective writing can improve students’ ability not only to read and write computer programs, but also to evaluate the efficiency, readability, and maintainability of algorithms and code. Students must learn not only how to design solutions, but also how to compare alternatives and determine the …

Rethinking Functional Groupings In Basketball Wings Through Ecological Trait Frameworks, Dhruv Mehrotra

Theses and Dissertations

This paper starts with a review about Plant Functional Types and then goes deeper into the conceptual foundations of Plant Functional Types (PFT's) with detailed discussion of global trait spectra such as the leaf economics spectrum and the fast-slow continuum. Using concepts like response and effect traits, the review then talks about how a trait based ecological framework can provide a more robust guideline to classify plants. The review then talks about how players in basketball have been classified in the past along with some of the newer typologies. The review starts to draw some parallels between the ecological framework …

Acidic Extracellular Ph-Induced Pth Secretion In Male Mouse Parathyroids Is Ogr1-Dependent, Yanmei Yang, Mengcun Chen, Mingshu Cui, Elisabeth Lashbrooks, Bin Wang

Center for Translational Medicine Faculty Papers

The role of extracellular acidity in regulating PTH secretion in cultured mouse parathyroid glands (PTGs) has not been studied to date, largely because of the technical difficulty of isolating mouse PTGs. We hypothesized that acidic extracellular pH directly stimulates PTH secretion through activation of a proton-sensing receptor, specifically ovarian cancer G protein-coupled receptor 1 (OGR1, also known as GPR68). To test this, we developed a method to reliably identify and isolate PTGs from male mice by administering 5-aminolevulinic acid, which induced selective fluorescence in these glands. Using this model, we demonstrate that acidic extracellular pH significantly stimulates PTH secretion in …

Acidic Extracellular Ph-Induced Pth Secretion In Male Mouse Parathyroids Is Ogr1-Dependent, Yanmei Yang, Mengcun Chen, Mingshu Cui, Elisabeth Lashbrooks, Bin Wang

Center for Translational Medicine Faculty Papers

The role of extracellular acidity in regulating PTH secretion in cultured mouse parathyroid glands (PTGs) has not been studied to date, largely because of the technical difficulty of isolating mouse PTGs. We hypothesized that acidic extracellular pH directly stimulates PTH secretion through activation of a proton-sensing receptor, specifically ovarian cancer G protein-coupled receptor 1 (OGR1, also known as GPR68). To test this, we developed a method to reliably identify and isolate PTGs from male mice by administering 5-aminolevulinic acid, which induced selective fluorescence in these glands. Using this model, we demonstrate that acidic extracellular pH significantly stimulates PTH secretion in …

Cross-Scale Feature Learning For Alzheimer's Disease Detection Via Hybrid Deep Networks, Essam Haidar Majeed, Fallah H. Najjar, Safaa M. Kareem, Munaf H. Kareem, Duha Amer Mahdi

Baghdad Science Journal

Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is the leading causeof dementia. Early diagnosis is essential for interepting the progressionof cognitive decline and favoring the clinical outcome, although conventional diagnostic means may not be able to identify early symptomatic forms. In this manuscript, we propose a residual attention-based hybrid deep learning model withthe EfficientNetB1 backbone for improving the classification of AD based on structural MRI data obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and ADNI1 datasets. The network structure integrates two-dimensional (2D) convolutional feature extraction, multi-head self-attention for building the global context information, and residual learning. The …

Enhanced Population Mean Estimation Using An Exponential Estimator With Known Medians Of Dual Auxiliary Variables Within A Neutrosophic Approach: Applications In Agricultural Yield Prediction, Anchal Yadav, Mukesh Kumar

Neutrosophic Systems with Applications

In classical statistical theory, estimation of population parameters is generally carried out under the assumption that all observed data are precise, complete, and free from ambiguity. However, in many practical and real-world situations, data often deviate from these ideal conditions and instead appear in vague, uncertain, or interval-valued forms. Such imperfections reduce the effectiveness of traditional estimation techniques and motivate the development of more flexible and robust methodologies. To address these challenges, several improved estimators, particularly neutrosophic ratio-type estimators and their advanced extensions, have been proposed in recent literature. In this study, a new estimator known as the two auxiliary …

On Some Properties Of Generalised Regular Anti-Topological Space, Bhimraj Basumatary, Gugu Narzary, Jeevan Krishna Khaklary

Neutrosophic Systems with Applications

This article studies Regular Anti-open sets and Generalised Regular Anti-open sets within a topological framework, addressing the limited development of anti-open structures in generalised topology. We introduce Regular Anti-open sets and establish their fundamental properties. The study is extended by defining Generalised Regular Anti-open sets, providing a broader and more flexible class of sets. Furthermore, the notions of GR-interior and GR-closure are introduced and analyzed, and their essential properties are obtained. The results contribute to a clearer understanding of generalized anti-open structures and provide a basis for further research in topology.

Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam

Neutrosophic Systems with Applications

Modern supply chain systems frequently operate in environments where demand, costs and inventory-related parameters are uncertain and difficult to estimate accurately. These uncertainties become more critical in multi-objective decision-making situations, where decision makers must simultaneously balance several conflicting goals. Conventional optimization techniques often fail to represent the ambiguity and vagueness present in practical decision environments. To overcome these limitations, this study develops a multi-item supply chain model for a single supplier and a single buyer by incorporating Type-2 interval representations into the modelling framework. The proposed approach introduces a structured set of arithmetic operations for Type-2 intervals to manage uncertain …

Classes Of Analytic Functions Defined By Salagean Derivative Operator Associated With Neutrosophic Generalized Poisson Distribution, Soliu O. Opeyemi Okunola, Olushola Adeyemo, Sayo A. Abidemi Gbangbala, Folorunso I. Isola Akinwale

Neutrosophic Systems with Applications

This study introduces and analyses new subclasses of analytic functions by applying the Salagean derivative operator to the Neutrosophic Generalized Poisson Distribution (NGPD) series. We develop a model where the mean parameter is treated as an interval or set to account for indeterminacy in complex systems. By employing Stirling numbers of the second kind and decreasing factorials, we derive necessary and sufficient coefficient inequalities and inclusion relations for these new subclasses. Numerical results and graphical illustrations demonstrate the sensitivity of these functions to orientation and the neutrosophic parameter, providing a framework for applications in fields like medical imaging and network …

A Goal Programming Approach For Finding The Best Compromise Solution Of Multiobjective Linear Programming Under Neutrosophic Environment, Sultan S. Alodhaibi, Hamiden Abd El- Wahed Khalifa

Neutrosophic Systems with Applications

Decision problems often involve multiple objectives that conflict, making simultaneous optimization impossible. These problems require trade-offs to achieve a solution that balances the competing goals. In this paper, the detailed discussion that is related to linear programming (SVTrNFMOLP) with single valued trapezoidal neutrosophic numbers is made. Furthermore, this study deals with all the related parameters and discussion. As rank function and due to its definition, the SVTrNFMOLP is transformed in the crisp MOLP. It is noticed that goal programming is best to get the best compromise solution. The advantages of the proposed approach are: The use of Tr allows the …

Wake-On-Anomaly Federated Architecture For Privacy-Preserving Poultry Health Early Warning, Mahmoud Aziz Louati

Masters Theses

Highly pathogenic avian influenza outbreaks, respiratory disease, heat stress, and silent equipment failures share one operational reality: they are detected too late because today’s poultry-health workflow is reactive, manual, and dependent on producers volunteering commercially sensitive data. This thesis presents a wake-on-anomaly federated architecture that addresses both the detection-latency problem and the privacy–adoption deadlock that has so far prevented cross-farm collaboration. The architecture is organized in two tiers. Tier 1 is a lightweight LSTM autoencoder that continuously screens four routine telemetry channels (water, feed, house temperature, activity proxy) and emits a per-window reconstruction-error score. A debounced k-of-m trigger with cooldown …

Academic Senate - Agenda, 05/26/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

Isometric Force Characterization Of Braided Pneumatic Actuators, Ben Bolen, Mohammad Elzein, Lawrence Pang, Alexander Hunt

Mechanical and Materials Engineering Faculty Publications and Presentations

Artificial muscles such as braided pneumatic actuators (BPAs) offer many advantages for robotic systems, including high durability and strength-to-weight ratios. However, their use in robotic systems is still extremely limited, in part due to their poor force, length, and pressure characterization. In this work, a test setup is created to compare force produced by Festo fluidic BPAs with leading models. Our analysis of the data has resulted in (1) the development of new equations to calculate force as functions of pressure and contraction for Festo BPAs with uninflated diameters of 10 mm and 20 mm, and (2) a novel equation …

Reinforcement Threshold Controlled Modernn Tuned With J* And QMax Bilingual Spatiotemporal Attention Fusion For Inclusive Real-Time Sign Language Interpretation, Harapriya Kar, P Viswanathan

Baghdad Science Journal

Deaf communities still struggle with communication, partly due to the inefficiency of current sign language recognition systems, their poor generalization, and their inability to manage regional and linguistictions. This work suggests a novel architecture that blends attention-based spatiotemporal processing (RTC-ModeRNN-BSF) with a reinforcement threshold–controlled ModeRNN to solve these problems. The model adapts its computation based on the complexity of the input gesture, using between 2 and 8 attention slots, while gradually reducing exploration during training ($\varepsilon$: 0.9→ 0.1). Dual-stream memory pathways are optimized using joint log-likelihood maximization (J-Star) and computational pruning (Q-Max) to capture both immediate sequential patterns (C_{t …}

A Novel Ffueat Technique Enhancing The Performance Of Multiple Url Classification And Cybersecurity Using Rnn And Transformer-Based Models, Zafar Ali, Siti Sophiayati Yuhaniz, Noureen Noureen, Ghulam Mujtaba, Husham M. Ahmed

Baghdad Science Journal

Thousands of new websites are published every day, which pose significant challenges for web classification and cybersecurity. URL classification datasets, including general and cybersecurity-specific ones, face challenges such as class imbalance, noise, and ambiguous data, which can significantly affect model performance. This study proposes a novel Fine-Tuned FastText Unsupervised Embedding Augmentation Technique (FFUEAT). Datasets (DMOZ and Phishing) were used to evaluate the performance of the proposed technique, achieving F1-scores of 0.8639 with DistilBERT and 0.8891 with BERT. The performance of sparse minority classes, achieving accuracy increases of 20.88% for 'home', 58.04% for 'news', and 11.18% for the 'kids' categories of …

Diabetes Case Detection Based On Neuroevolutionary Algorithm And Ganet Tool, Ivan V. Stepanyan, Safa A. Hameed, Minhai Hou

Baghdad Science Journal

This paper proposes a method utilizing an evolutionary algorithm (EA) to improve the learning process within the artificial neural network (ANN). The study utilized two models: the neuroevolutionary algorithm and the GANet tool. These algorithms were trained on two clinical diabetes datasets to discern health conditions. Each Feedforward Artificial Neural Network (FANN) layer in a neuroevolutionary algorithm is broken into multiple ANNs according to the number of neurons. The evolutionary technique later utilizes crossover and mutation operations to produce an ideal FANN. Enhanced artificial neural networks were subsequently incorporated to provide an innovative and robust functional artificial neural network for …

Hs-Amm: Hierarchical Spatial Attention Mechanism Model For Facial Expression Recognition Based On Deep Learning, Ahmed Oday, Azizi Abdullah, Shahnorbanun Sahran

Baghdad Science Journal

Facial expression recognition (FER) is a significant challenge due to the complexity of multi-class categorization and the subtle differences between emotional factors, with existing deep learning models often struggling to leverage hierarchical local features for accurate distinction. To find a solution, this study proposes a two-method approach, aiming to enhance FER accuracy by refining classification through the arousal-valence dimension and improving feature extraction via an adaptive attention mechanism to resolve the difficulty of differentiating semantically close expressions. The proposed methodology combines (1) a two-level classification strategy, first, performing fine-grained classification, and second, multi-class categorization by grouping expressions into neutral, positive, …