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Integration Of Islamic Values In Mathematics Learning, Ai Mulya, Surya Faradiba

Jurnal Pendidikan Sains

This study aims to identify the integration of Islamic values in mathematics learning and its contribution to student character development. The method used is a systematic literature study by reviewing relevant accredited scientific articles. The results of the study indicate that the integration of Islamic values is carried out through the preparation of Islamic-context-based mathematics problems, linking concepts to verses of the Qur'an and hadith, the application of ethnomathematics with Islamic cultural nuances, and the introduction of Islamic economic concepts. The dominant values that emerge include honesty, responsibility, discipline, justice, and piety. These findings indicate that the integration of Islamic …

Understanding The Fidelity And Specificity Of Dna Polymerase I, Bill R. Miller Iii, Andrew V. Yeager, Jake A. Collins, Alexis Blake, Elise Tate, Carol A. Parish, Eugene Y. Wu

Chemistry Faculty Publications

High-fidelity DNA polymerases employ complex mechanisms to catalyze template-dependent DNA synthesis while quickly discarding mismatches. Atomic-level structural details about short-lived states during nucleotide discrimination are necessary to gain insight into the kinetic checkpoints that contribute to fidelity. We performed microsecond molecular dynamics simulations of DNA polymerase I, large fragment, from Bacillus stearothermophilus (Bacillus fragment, or BF) in complex with a template guanine and a mismatched thymidine triphosphate to observe the early events in the process of selection against a mismatch. Although the nucleobases formed a wobble base pair early, the mismatched pair was blocked from fully entering the active site …

Water Quality And Plankton Diversity Of Ahi River, Ohiya, Umuahia, Nigeria, Emeka Donald Anyanwu, Egor Katkov, Udeme Effiong Jonah, Amarachuku Ezinne Oji, Immaculate Chiamaka Enwereuzo

Journal of Bioresource Management

The plankton diversity of large and urban rivers has been extensively studied in Nigeria while small rural rivers that harbour rich aquatic biota receive little attention. The composition, abundance, and distribution of plankton of a rural river were assessed in relation to some physicochemical parameters. The study was carried out between May and October 2023 in 3 stations using standard methods. The physicochemical results were: temperature (25.2-27.0^oC), flow velocity (0.15-0.46 m/s), transparency (14.0-78.5cm), depth (51.0-105.0cm), pH (5.6-7.8), electrical conductivity (66.0-98.0 µS/cm), total dissolved solids (33.0-49.0 mg/l), turbidity (0.1-1.7 NTU), dissolved oxygen (3.2-6.4 mg/l), biochemical oxygen demand (1.0-2.7 mg/l), …

A Digital Twin Framework For Real-Time Energy Optimization: A Simulated Case Study Of The Podium Office Building, New Cairo, Egypt, Maha Fawzy Aly Anber

Mansoura Engineering Journal

The growing demand for smarter and more energy-efficient buildings has led to increasing interest in digital twin (DT) technology for building operation and management. This paper presents a DT framework developed to improve the energy performance of the Podium Office Building in Cairo Festival City, New Cairo, Egypt. A detailed EnergyPlus model, supported by Python-based tools (eppy and pyEnergyPlus), was used to test three HVAC control strategies: a baseline fixed schedule, a real-time DT-informed strategy, and a predictive optimization approach. By integrating local climate data and realistic occupancy patterns, the study assesses energy savings, CO₂ reductions, and indoor comfort improvements. …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Effect Of Nettle (Urtica Dioica L.) Seed Powder Supplementation On Some Important Quality Characteristics Of Cakes, Esra İrem Can, Kadi̇r Çebi̇

Turkish Journal of Agriculture and Forestry

The nutritional adjustment of food products has gained popularity in recent years as consumer interest in healthy eating has increased. Cake is a widely consumed cereal-based product containing such key nutrients as carbohydrate, fat, protein, fiber, vitamins, and minerals. In the present study, crust and crumb color, specific volume, microstructure, antimicrobial activity, total phenolic content, antioxidant activity, and sensory analyses were evaluated in four cake groups: a control cake (IT0) and cakes supplemented with 1% (IT1), 3% (IT2), and 5% (IT3) nettle seed powder. The addition of nettle seed powder to the cakes significantly reduced the crust (L*, a* and …

Mango Leaf Disease Detection And Classification Using A Federated Learning Based Lightweight Vision Transformer Model, Vinay Gautam, Prabhjot Kaur, Anand Muni̇ Mishra, Achyut Shankar, Laxman Singh

Turkish Journal of Agriculture and Forestry

The detection and management of horticultural crop diseases is crucial for enhancing productivity, reducing costs, and promoting environmentally sustainable practices. Recently, various techniques have been developed for managing crop-related issues, including leaf diseases and pest control. A centralized control approach has been implemented for disease detection. This centralized system faced significant challenges, including concerns over data privacy and the costs associated with data migration. This study addressed the problems with centralized solutions through a federated learning approach enhanced by the attention mechanism of the vision transformer (ViT). We investigated the key features of the federated learning method and propose a …

A New Longidoridae Member, Xiphinema Brevicolle, From Citrus Orchards In Türkiye, Adem Özarslandan, Ayşenur Aslan, Lerzan Öztürk

Turkish Journal of Agriculture and Forestry

Individuals of the genus Xiphinema were recovered from soil samples collected during citrus surveys in south-eastern Türkiye. Morphological examination using light microscopy identified the species as X. brevicolle. The female individuals measured 2000–2050 μm in length, and displayed a slightly flattened lip region, an amphidelphic reproductive system with two well-developed branches, and a short conoid tail ending in a rounded tip. These morphometric and morphological features were consistent with those of previously described X. brevicolle specimens. For molecular confirmation, the D2–D3 segment of the 28S rDNA was amplified using the D2AD3B primer pair, and sequenced; the resulting sequence has been …

Optimizing Cultivated Land Productivity Through Integrated Fertilization Strategies And Uav-Assisted Management, Kejun Wang

Turkish Journal of Agriculture and Forestry

This study investigates the impact of long-term fertilization modes on crop health and productivity using unmanned aerial vehicle (UAV)-assisted monitoring and a Q-learning-based approach for optimized fertilization strategies. An approximate state-matching Q-learning algorithm was developed to improve the efficiency of agricultural UAVs in fertilization tasks. The spatiotemporal patterns of cultivated land productivity under different fertilization regimes were analyzed in a long-term experiment. An evaluation system for cultivated land health productivity was established. The results indicated that the Q-learning algorithm enabled UAVs to achieve efficient task completion. QLASM outperformed traditional methods on all metrics. QLASM achieved a 92% task completion rate …

Corrigendum To “Mir-9-5p Alleviates The Development Of Abdominal Aortic Aneurysm By Regulating The Diff Egulating The Differentiation Of Cd4+Il-10+T Cells Entiation Of Cd4+Il-10+T Cells Via Tar Via Targeting The Cr Geting The Crosstalk Between Nr Osstalk Between Nrf2 And Nf- F2 And Nf-Κb Signaling Pathways” [Turkish Journal Of Biology 49 (4) 2025 380-391], Hongfu Liu, Jinyi Zhang, Lubin Li, Benxiang Yu, Chunlei Zhang, Wenqiang Niu, Yawen Cheng, Hengyang Dong, Yukun Zhang, Xinlin Luo, Yanlian Xiong, Yueming Wang

Turkish Journal of Biology

This corrigendum is to address an issue regarding the manuscript’s previous publication. The authors noticed that the representative flow cytometry image for the AAA group in Figure 3B, as well as the representative Histone H3 and β-actin Western blot bands in Figure 4A, were incorrectly used in the original published version of this paper and indicated that the relevant corrections do not affect the results or the conclusions of the study.To rectify this oversight and ensure the accuracy of the published work, the correct figures are included for your reference.

Link to the original article: https://doi.org/10.55730/1300-0152.2754

A New Dioecious Bush Tomato, Solanum Nectarifolium (Solanaceae), From The Northern Tanami Desert, Northern Territory, Australia, With Reassessment Of S. Ossicruentum And A Change In The Circumscription Of S. Dioicum, Christopher T. Martine, Kym Brennan, Jason T. Cantley, Aiden Webb, Geoffrey Newton

Faculty Journal Articles

A new species of functionally dioecious bush tomato from the “Solanum dioicum + S. echinatum group” of Solanum subgenus Leptostemonum is described. Solanum nectarifolium Martine & Brennan, sp. nov., is a member of the taxonomically challenging Solanum dioicum W.Fitzg. species complex in Australia and differs from other species in the group by the presence of prominent and conspicuous extrafloral nectaries on the abaxial leaf surfaces, a tinge of purple on the new growth and young fruiting calyces, and curved prickles on young stems. Although fairly well represented in herbarium collections, this new taxon has historically been treated as a …

Communication Factors Influencing Smallholder Farmers' Adoption Of Climate Change Adaptation Measures In Kenya’S Embu County, Olive Wanjiru Ndwiga, Dominic Mutambu, Daniel Manguriu, Monicah Mucheru-Muna

Journal of Environmental Science and Sustainable Development

Climate change in Kenya has severely impacted the agricultural sector, affecting food security. It is crucial to enhance farmers’ adaptive capacity to cope with these threats. Effective communication of climate variation risks and coping measures is essential to improve farmers' adaptive capacity. Nevertheless, the adoption of adaptation measures remains low. This is because the influence of communication factors remains underexplored. Therefore, this study focuses on exploring the communication factors affecting the adoption of climate variation adaptation measures in Embu County. The study was conducted in 2023 and 2024 and analysed using the Statistical Package for Social Sciences (SPSS) software. The …

Black Bone Mri Morphometry For Mandibular Cortical Bone Measurement In Head And Neck Cancer Patients: Prospective Method Comparison With Ct, Lisanne V Van Dijk, Juan Ventura, Kareem A Wahid, Lin L Zhu, Brigid A Mcdonald, Sara Ahmed, Keith L Sanders, Sonja M Stieb, Lance Mccoy, Christina S Sharafi, Kathryn E Preston, Natalie A West, Sarah Mirbahaeddin, Dina M El-Habashy, Travis Salzillo, Samuel Mulder, Joly Fahim, Aubryane Dearmas, Mona Arbab, Yao Ding, Jihong Wang, Bastien Rigaud, Anando Sen, Mark Chambers, Katherine A Hutcheson, Kristy K Brock, Abdallah S R Mohamed, Stephen Y Lai, Clifton D Fuller

Faculty, Staff and Student Publications

Objectives: Determine the utility of low-flip angle "black bone" magnetic resonance imaging (MRI) for cortical mandibular bone assessment compared to computed tomography (CT).

Methods: Quantification of cortical mandibular bone width was performed per Hamada et al. at 15 cross-sectional interdentium locations on pretreatment black bone MRI and CT for 15 oropharyngeal cancer patients, with interobserver analyses on a subset of three patients by 11 observers. CT and MRI measurements were compared using Bland-Altman analysis, Lin's concordance, and Deming regression; interobserver variability was assessed with absolute variance and intraclass correlation coefficient (ICC).

Results: Bland Altman and Deming regression analyses showed CT …

Pressure Field Estimation From 2d-Piv Measurements: A Case Study Of Fish Suction-Feeding, Jensine C. Coggin, Duvall Dickerson-Evans, Erin E. Hackett, Roi Gurka

Physics and Engineering Science

Particle image velocimetry (PIV) flow measurements are common practice in laboratory settings in a wide variety of fields involving fluid dynamics, including biology, physics, engineering, and medicine. Dynamic fluid pressure is a notoriously difficult property to measure non-intrusively, yet its variation is a driving flow force and critical to model correctly. Techniques have been developed to estimate the pressure from velocity and velocity gradient measurements. Here, we highlight a novel application of boundary conditions when applying such pressure estimation techniques based on two-dimensional PIV data; the novel method is especially relevant to problems with complex boundary conditions. As such, it …

Mechanical Improvements And Control Implementation On A Biomimetic Quadruped Model, Matthew Jack Lutz

Dissertations and Theses

Robotic development started billions of years after earth first began biological prototyping. While the evolutionary process in animals is quite different from robotic prototyping, it still remains no surprise that animals remain more agile, more efficient, and more adaptable than even the most advanced engineered robots to date, simply due to the sheer length of their improvement process. While bridging this improvement gap between deficits in robots and the abilities of animals is difficult, a specific subfield of robotics engineering has attempted to do so using biomimetic robotics. At Portland State, the Agile and Adaptive Robotics Lab (AARL) studies these …

Comparative Transcriptomics Reveals Novel And Differential Long-Noncoding Rna Responses Underlying Interferon-Mediated Antiviral Regulation In Porcine Alveolar Macrophages, Jiuyi Li, Oluwaseun Adeyemi, Laura C. Miller, Yongming Sang

Food and Animal Sciences Faculty Research

Porcine reproductive and respiratory syndrome virus (PRRSV) is a major threat to the global swine industry. Long non-coding RNAs (lncRNAs) are emerging as crucial regulators of antiviral immunity, but their roles in porcine alveolar macrophages (PAMs)—the primary target of PRRSV—remain poorly characterized. This study presents a genome-wide analysis of lncRNA expression in PAMs stimulated with a PRRS modified live virus (MLV) vaccine and two type I interferons, IFN-α1 and IFN-ω5. Whole-transcriptome sequencing identified over 2000 differentially expressed lncRNAs, with IFN-ω5 inducing the most extensive transcriptional reprogramming. Weighted gene co-expression network analysis (WGCNA) revealed interferon-specific lncRNA-mRNA modules, and functional enrichment showed …

Anti-Saccade Error Rates Are Associated With Somatic Depressive Symptoms In Cocaine Use Disorder, Constanza De Dios, Heather E Webber, Margaret C Wardle, Jin H Yoon, Michelle A Patriquin, Jessica N Vincent, Joy M Schmitz, Scott D Lane

Faculty, Staff and Student Publications

Background: Inhibitory control deficits are associated with cocaine use disorder (CUD) development and maintenance. Additionally, drug use and inhibitory control can be negatively affected by depressive symptoms, including somatic factors like sleep disturbance and fatigue.

Aim: The current study assessed the relationship between inhibitory control and depressive symptoms among individuals initiating CUD treatment. We examined associations among anti-saccade response inhibition performance, total scores on the Beck Depression Inventory-II (BDI-II), and individual BDI-II items.

Methods: N = 101 patients enrolled in a clinical trial for CUD completed drug-specific anti-saccade and depression (BDI-II) measures prior to treatment. Generalized linear models tested the …

Detection Of The Linac Jaw Face Angle Misalignment Using High Energy Electron Beam Symmetry, Song Gao, Andres Cibrian, Jared Ohrt, Peter Balter

Faculty, Staff and Student Publications

Purpose: To demonstrate the usage of a high energy electron beam symmetry measured at different collimator angles to detect jaws face angle misalignments on Varian TrueBeam linear accelerators (linac) during acceptance and commissioning processes.

Methods: During the linac acceptance, all beams were steered to a symmetric shape with the gantry and collimator at 0°. We noted that the symmetries of higher energies electrons (e.g., 16 MeV, 20 MeV) changed over 2% when measured with the collimator at 90° and/or 270° for two linacs commissioned within 5-months of each other. Misaligned applicators were ruled out as the cause of this issue. …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

The Loss Function Of Usda Forecasters: Evidence From Wasde Animal Product Price Forecasts, Chad Fiechter, Siddhartha S. Bora, Todd H. Kuethe

Department of Agricultural Economics Faculty Publications

The loss function is a mathematical representation of the costs experienced by a forecaster when observed outcomes differ from what was predicted. Prior studies suggest that USDA forecasts are not optimal based on an assumed mean-zero quadratic loss function. This study proposes an alternative view of forecast evaluation, which assumes all USDA forecasts are produced to minimize the forecasters’ costs, and searches for the dimensions of the loss function under which optimality holds. We illustrate the degree to which USDA loss functions vary across a series of WASDE price forecasts. A better understanding of USDA forecasters’ costs will benefit forecasters …

Some New Ecological Aspects Of The Lesser Sunda Endemic Drepanosticta Berlandi (Odonata: Zygoptera: Platystictidae), Muhammad Zulhariadi, Muhammad Setyo Nugroho, Nurul Hidayani

Makara Journal of Science

Drepanosticta berlandi is an endemic damselfly in the Lesser Sunda region of Indonesia, which was first recorded on Lombok Island in the 19th century. Albeit recognized for a century, information on its ecology is still lacking; hence, this study aims to reveal its distribution and habitat preferences. The research was conducted at the Tibu Ijo Waterfall tourist area in West Lombok Regency using line transects combined with field survey in the Kekait River and on footpaths on both sides of the river. Vegetation density, topography, and land survey temperature (LST) were measured at the sampling area using ArcGIS 10.4.1 software. …

Machine Learning–Based Prediction Of Potentially Inappropriate Prescribing In Geriatric Patients Presenting To The Emergency Department At Al-Qatif Central Hospital, Saudi Arabia, Aymen Alqurain

Saudi Toxicology Journal

Potentially inappropriate prescribing (PIP) is an avoidable factor leading to adverse drug events in older adults, particularly in the emergency department (ED). This study aimed to train and validate a machine learning (ML) model to predict the probability of PIP in elderly patients in the ED. This retrospective analysis encompassed patients aged 65 years and above who presented to the Al-Qatif Central Hospital. PIPs were identified using a validated screening tool designed for older persons to ensure appropriate treatment. Variables have been detected by least absolute shrinkage and selection operator regression. An extreme gradient boosting model was trained and assessed …

Advancing Skin Cancer Diagnostics: A Comparative Analysis Of Convolutional Neural Network Models For Skin Lesion Classification, Jesse Osuji, Tania Malik

SURE Journal: Science Undergraduate Research Experience Journal

For many years, skin cancer diagnosis and cancer research have been major focal points in the healthcare sector. Accurate classification of different types of skin lesions, including cancerous ones, is essential for proper diagnostics. Many machine learning (ML) techniques and models are used to solve various problems across various domains. One of such techniques is called neural networks. Convolutional Neural Networks (CNNs) are primarily used in computer vision-based problems, allowing computer systems to process and understand images. CNNs offer a potential tool for diagnosing skin lesions from images, occasionally demonstrating superior accuracy compared to trained dermatologists. This project explores various …

Metal Exposures And Their Interactions With The Dietary Inflammatory Index On Inflammatory Biomarkers In Mexican Adolescents, Yanelli Rodríguez-Carmona, Ana Baylin, Peter X.K. Song, Edward Ruiz-Narvaez, Cindy W. Leung, James Hébert Scd, Nitin Shivappa Mbbs, Mph, Ph.D., Michael David Wirth Msph, Phd, Face, Aljandra Cantoral, John D. Meeker, Niladri Basu, Martha María Tellez-Rojo, Karen E. Peterson, Sung Kyun Park

Faculty Publications

Background:

Heavy metals, like lead, arsenic, and cadmium, are linked to increased inflammation even in early life; however, anti-inflammatory diets may offset these effects.

Methods:

We evaluated associations between heavy metals and inflammatory biomarkers, and potential effect modification by diet in 399 adolescents aged 10 to 18 at baseline who attended two study visits 2 years apart (773 observations). At baseline, blood lead, urinary arsenic, and cadmium concentrations were measured, and the Children’s Dietary Inflammatory Index (C-DII) was calculated. Fasting serum interleukin (IL)-4, IL-10, IL-1β, IL-6, IL-8, high-sensitivity C-reactive protein, and tumor necrosis factor-alpha were measured for both visits. Generalized …

Discovery Of 5‑Chlorotryptophan-Containing Antibiotics Through Metabologenomics-Assisted High-Throughput Screening, Chantal D Bader, Isao Masuda, Angela Nichols, Edward Kalkreuter, Dong Yang, Thomas Christian, Yuko Nakano, Ya-Ming Hou, Ben Shen

Department of Biochemistry and Molecular Biology Faculty Papers

Actinomycetota bacteria have specialized in the biosynthesis of antibacterial natural products (NPs), and extract and fraction libraries made from those strains remain a promising source of NP drug leads. Herein, we present a high-throughput screen (HTS), based on engineered Escherichia coli strains expressing the human (Trm5) or bacterial (TrmD) m¹G37 tRNA methyltransferase, to discover NPs as novel anti-Gram-negative antibiotic leads. To harness the evolution of NPs with in vivo activity, the cell-based phenotypic HTS was applied to the Actinomycetota extract and fraction library at the Natural Products Discovery Center (NPDC), the Herbert Wertheim UF Scripps Institute for Biomedical …

Investigating Chronic Toxicity, Diet, Patient-Reported Outcomes And The Microbiome In Immunotherapy-Treated Metastatic Melanoma Survivors: A New Frontier, Margaux Robert, Satabdi Saha, Nazli Dizman, Michelle Rohlfs, Elizabeth Sirmans, Julie Simon, Rodabe N Amaria, Isabella C Glitza Oliva, Hussein A Tawbi, Michael A Davies, Alexandra Ikeguchi, Karen Basen-Engquist, Keri Schadler, Michael E Roth, Wenye Song, Xiaotao Zhang, Nadim J Ajami, Lorenzo Cohen, Jennifer A Wargo, Christine B Peterson, Jennifer L Mcquade, Carrie R Daniel

Faculty, Staff and Student Publications

Background/Objectives: Immune checkpoint blockade (ICB) therapies have significantly improved outcomes in metastatic melanoma. However, immune-related adverse events (irAEs) and persistent chronic toxicities (CTs) among this emerging survivor population likely influence different facets of quality of life. This study characterized CT, patient-reported outcomes (PROs), diet, physical activity and gut microbiome features in a cohort of long-term survivors with a history of ICB-treated metastatic melanoma.

Methods: Forty-eight patients with a history of metastatic melanoma who initiated ICB treatment at least 3 years earlier and were not currently on treatment were prospectively enrolled from a melanoma survivorship clinic. Participants completed screening …

Society For Immunotherapy Of Cancer: Standards For Reporting Of Multiplex Immunohistochemistry/Immunofluorescence Assays (Stormi), Sam Sater, Carlo B Bifulco, Jaime Rodriguez-Canales, Joe Yeong, Guray Akturk, Michael Angelo, Carmen Ballesteros-Merino, Peter Bankhead, Subham Basu, Jorge M Blando, Saska Brajkovic, Marco Cassano, Benjamin J Chen, Ahmet F Coskun, Tricia R Cottrell, Carlos E De Andrea, Robin H Edwards, Colt Egelston, Logan L Engle, Marc S Ernstoff, Rong Fan, Michael Feldman, Bernard A Fox, Jerome Galon, Robyn Gartrell, Sacha Gnjatic, Benjamin F Green, James L Gulley, Anne Hellebust, Stephen Hewitt, Travis J Hollmann, Lucas A Horn, William J Howat, Clifford C Hoyt, Shawn M Jensen, Arutha Kulasinghe, Wiem Lassoued, Steven Lott, James Mansfield, Sebastian Marwitz, George Netto, David B Page, Edwin Parra, David L Rimm, Scott J Rodig, Roberto Salgado, Denis Schapiro, Kurt A Schalper, Joel C Sunshine, Michael J Surace, Alexander S Szalay, Magdalena Thurin, Jose C Villasboas, Keith Wharton, Ignacio I Wistuba, Jennifer H Yearley, Yinyin Yuan, Geroge Zaki, James Ziai, Janis M Taube

Faculty, Staff and Student Publications

Multiplex immunofluorescence and immunohistochemistry (mIF/IHC) are increasingly employed antibody-based technologies that use tissue sparingly and facilitate the detection of co-localized or neighboring biomarkers. Specifically, these platforms enable spatial analyses of the tumor microenvironment as well as extended applications, for example, describing normal tissue anatomy, autoimmunity, infectious diseases, etc. mIF/IHC has greatly enhanced biomarker discovery efforts, and a growing number of studies suggest superiority to traditional IHC. Standardization of staining approaches, reporting of image analysis strategies and resultant data is critical for facilitating cross-study comparisons, validation, deployment, and generalization of findings. To address this challenge, The Society for Immunotherapy of Cancer …

Chaos Engineering In Multi-Gigahertz Solid-State Lasers: A Novel Approach To Optoelectronic Control, Mikhail V. Gorbunkov, Yulia Ya. Maslova, Yulia A. Sinichkina

Karbala International Journal of Modern Science

This paper presents a comprehensive study of a multi-gigahertz chaotic generator of light pulses based on solid-state laser sources, including fiber lasers, governed by carefully designed positive and negative feedback loops. It harnesses the inherent nonlinear dynamics within a solid-state laser controlled by a combination of two inertial feedback loops, enabling the realization of complex chaotic behavior, including the logistic map scenario, under moderate amplification conditions. The laser system dynamics are rigorously investigated through theoretical modeling, employing a nonlinear map approach, and high-resolution picosecond simulations. The results of our numerical simulations highlight the efficacy of fast electro-optical feedback system with …

Two Major Ontario Hospital Labs Bought Research Dogs From U.S. Breeder With Troubled Pastdogs Bred For Scientific And Medical Testing Suffer Abuse As The Scientific Industry Increasingly Turns To Alternatives For Research., Allison Hunter, Mary Beech, Sami Marshak, Kate Morano

Capstones

The purpose-bred dog breeding industry for research is little known. Each year, thousands of dogs are bred for scientific and medical testing, supplied to research facilities by a handful of major commercial breeders. But gaps in enforcement and regulation have allowed abuses to persist, even as the industry increasingly turns to alternatives to animal testing. Animal rights advocates have been decrying the treatment of these dogs. A federal Inspector General report found lax oversight of the industry, raising further concerns about how dogs are treated. This story was reported in collaboration with the Investigative Journalism Bureau, based in Toronto, and …

Butterflies & You: Considerations Of Human Relationships With The Natural World, M. E. Colby

Undergraduate Honors Theses

Science communication only accounts for approximately 2% of the entire scientific output of 2017-2022 (Parejo-Cuéllar et. al, 2024). It is an under-researched and under-valued field, especially in an age that has devalued science as a whole. The delicate art of explaining complicated ideas to people who are unfamiliar with scientific jargon is vital to humans’ understanding of the world. Butterflies & You is a documentary film exploring the relationship between humans and the many different butterfly species that call Illinois home. Video-based science communication is important to research and practice because of its impact on environmental advocacy and the growing …