Digital Commons Network^™

Skin Lesion Classification Using Cnn Model And Augmented Dataset, Mohammed Nawzad Mohammed-Ramzi, Aso M. Aladdin

Journal of Soft Computing and Computer Applications

Skin cancer is a deadly disease. Skin lesion classification is a critical challenge due to its prevalent and deadly nature. Skin lesions are difficult for dermatologists to detect using eye examination, which is time-consuming and variable. A deep learning model of skin lesions classification has been proposed using a Convolutional Neural Network (CNN) trained on the HAM10000 dataset of 10,015 dermatoscopies. To improve resilience and address the dataset's extreme class imbalance, data augmentation techniques such as geometric transformations, brightness/contrast adjustments, blurring, noise addition, histogram equalization, color space alterations, and elastic deformations are used. With a carefully balanced 10% test set, …

Comparative Analysis Of Random Forest And Artificial Neural Networks For Predicting In-Situ Soil Density, Eng. Jinan Ali Abd Al-Kareem Al-Maliki, Dr Ammar Salman Dawood, Dr. Ihsan Al-Abboodi

HBRC Journal

This study suggests that RF and ANN are proven to be robust algorithms in predicting in-situ soil density, which is considered a significant geotechnical parameter. The research is based on 86 soil samples and focuses on five main input parameters: Gravel Percentage (G%), Plastic Limit (PL%), Sand Percentage (S%), Fines Percentage (F%), and Liquid Limit (LL%). The models developed here utilize five commonly recorded index properties (G%, S%, F%, LL, and PL) for all field samples taken from the Basra-Faw Road project. The influence of moisture content and compressive energy was ignored, as all field samples acquired the same moisture …

Potential Rainwater Harvesting Site Selection Using Satellite Data And Geomatics Approaches In Shatt Al-Hillah, Babil Province, Iraq, Atheer Askar Ismail, Basheer S. Jasim, Khalid Qaraghuli, Zulfaqar Sa'adi

Engineering and Technology Journal

Water scarcity remains a major environmental and socio-economic challenge in arid and semi-arid regions, where efficient Rainwater Harvesting (RWH) can be a promising solution in providing adequate water. An integrated approach for site selection of RWH in Shatt al-Hilla Region of Iraq using satellite imagery and geomatics techniques. The Landsat 9 OLI/TIRS data, and a 30-meter spatial resolution Digital Elevation Model (DEM) were used to extract several key indicators, including Soil-Adjusted Vegetation Index (SAVI), Modified Normalized Difference Water Index (MNDWI), Bare Soil Index (BSI), slope, and aspect. Using geographic information system (GIS) weighted overlay analysis (WOA), each factor was weighted …

Beneficial Investigation Of Sustainable Recycled Waste Plastic In Treating The Consolidation Behavior Of Fine Soil, Aram Mohammed Raheem, Cumaraswamy Vipulanandan, Mohammed Hiwa Abdullrahman, Ali Tariq Omer

Journal of Sustainable Construction Materials and Technologies

Recycled waste plastic is one of the regular garbage utilized as a sustainable material in soil remediation. This study examines the efficacy of utilizing local recycled waste plastic as an ecological quantifiable along with soil containing fine particles to analyze the consolidation behavior. Various recycled waste plastic contents ranging from 2% to 10% were employed experimentally in two patterns where in the first pattern the recycled waste plastic were mixed as dry material with the fine soil particles while in the second pattern a sandwich layer of 10% of the recycled waste plastic was placed in the middle of the …

Development Of Differentiated Learning Assisted By Animated Content In Speaking And Writing Learning For Second Grade Elementary School Students, Winaningsih Winaningsih, Euis Eti Rohaeti, Asep Samsudin

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Speaking and writing are basic skills that play a crucial role in supporting the academic development of elementary school students. Initial observations in one elementary school indicated that learning was still uniform, did not fully address differences in student abilities, and the use of digital media was still limited. This study aimed to analyze the development process, feasibility, and effectiveness of a differentiated learning model supported by animated content in improving the speaking and writing skills of second-grade elementary school students, as well as to identify barriers faced by teachers and students in its implementation. This study used a Research …

Influence Of Smoking On Mlh1 Gene Polymorphism: Insights Into Colorectal Cancer Incidence, Ali Mohammed Al-Abedi, Rand Muhammed Abdul-Hussein Al-Husseini

Al-Bahir

Background: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. The MutL Homolog 1 (MLH1) gene plays a critical role in DNA mismatch repair (MMR). Evidence suggests cigarette smoking increases CRC risk, potentially interacting with genetic factors.

Materials and Methods: This case-control study involved 50 Iraqi CRC patients and 50 age- and gender-matched healthy controls. The PCR-RFLP technique was employed for genotyping the -93G/A (rs1800734) polymorphism. Statistical analysis included Chi-square, Fisher's Exact Test, and logistic regression adjusted for confounders. Hardy-Weinberg Equilibrium (HWE) was assessed in controls.

Results: The frequency of the rs1800734 variant was significantly higher in CRC …

Dual-Action Antibacterial Agents Targeting Biofilm Reduction And Membrane Disruption In Staphylococcus Aureus, Rahmat Folashade Zakariyah, Waliyullahi Akorede Husain, Elohor Precious Samuel, Wonder Olanipekun Oloruntoba, Fatmah Opeyemi Saka, Khalid Ayinde Oyelami, Mariam Temitope Baker

Al-Bahir

Antimicrobial resistance in Staphylococcus aureus is a serious global health problem as the organism rapidly develops resistance against widely used antibiotics. This study sought to investigate the antibacterial and antibiofilm properties of γ-Tocopherol, a natural compound from Ocimum gratissimum, as well as its synergism with 5-hydroxymethylfurfural (5-HMF) against S. aureus. The antibacterial activities and minimum inhibitory concentrations of the compounds were determined using agar diffusion and microbroth dilution methods, respectively. Biofilm reduction was evaluated using 2,3,5-triphenyltetrazolium chloride (TTC) assay and membrane integrity was evaluated using the crystal violet microtiter plate assay and the ion leakage assay. The results …

Evaluating The Efficacy Of Green-Method-Prepared Zinc Oxide Nanoparticles On Gene Expression Of Efflux Pumps In Klebsiella Pneumoniae Bacteria Isolated From Women With Gestational Diabetes, Wissam Qadry Mutaab, Rana J. Shaker

Al-Bahir

Vaginitis is one of the most common women's health problems, and its severity increases in pregnant women with gestational diabetes due to higher susceptibility to infection and increased rates of antibiotic resistance. The research problem: The increasing prevalence of multidrug-resistant isolates of Klebsiella pneumoniae and its association with AcrAB-TolC ejaculation pumps limits treatment efficacy, while the effect of green-method nanoparticles on gene expression of these pumps remains unclear. This paper aimed to detect the acrA and acrB genes in K. pneumoniae isolates and evaluate the effect of zinc oxide nanoparticles prepared with garlic and rosemary extracts on their gene expression. …

Vsar: A Verifiable, Formally-Verified Safety Kernel For Autonomous Security Remediation, Inaki Garcia Alonso

Defensive Publications Series

Autonomous remediation agents increasingly hold credentials to change production infrastructure (DNS, email authentication, CDN and TLS configuration) in response to machine-generated findings. The dominant assurance model for such systems is auditable: actions are logged for after-the-fact human review. We argue this is insufficient when the actor is an LLM-driven agent whose proposals are untrusted text, and we present VSAR (Verifiable Safe Autonomous Remediation), a safety kernel that makes every remediation verifiable instead of merely auditable. VSAR gates each proposed change through a fixed set of eight predicates, including a target-binding predicate that ties the change to the exact asset the …

Conceptual Design Proposal: The Tethered Fusion-Driven Sail With Integrated Magnetohydrodynamic And Thermodynamic Energy Harvesting, Christopher L. Eckes

Defensive Publications Series

This paper proposes a deep-space vehicle architecture utilizing a tethered, fusion-driven "puller" configuration to eliminate beam-riding instabilities inherent in traditional laser sails. The design integrates a trailing nuclear-fusion tug that pulls a curved, light-reflective sail via a rigid, boron-doped multi-walled carbon nanotube (MWCNT) structural tether. To mitigate cosmic radiation and interstellar medium (ISM) degradation at relativistic velocities, the vessel employs a Particle-Ejection Mini-Heliosphere (M2P2) shield inflated by Yttrium Barium Copper Oxide (YBCO) high-temperature superconducting coils. System efficiency is optimized via a closed-loop energy harvesting matrix consisting of: (1) a three-layer thermodynamic hull utilizing Silicon Carbide (SiC) and Bismuth Telluride (Bi₂Te₃) …

System And Method For Generating Clinical-Trial Edit-Check Rules From Protocol Text With Prompt-Injection Defense, Narendra Nath Sarkar

Defensive Publications Series

A system and method translate clinical-trial protocol text into structured electronic-data-capture (EDC) edit-check rules (each rule expressed as field / operator / value / action with a severity, an action-on-violation, a confidence score, a human-readable rationale, and a provenance reference to the originating protocol span). Untrusted protocol text is hardened against prompt injection before any model is invoked, via length capping, control-character removal, a configurable set of injection-pattern filters, and role-marker stripping. Rule generation is a hybrid of (a) a deterministic knowledge-base pattern matcher and (b) an optional large-language-model (LLM) augmentation pass; generated rules are bound to a CRF (case …

Gci Cifrs‑N V4.0 — Universal Food‑Water‑Energy Nexus For Desert, Disaster, And Remote Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

The CIFRS‑N v4.0 Universal Nexus is a modular, skid‑mounted system designed to provide water, soil and nutrients, energy, and food production in extreme or resource‑limited environments:

• Hyper‑arid deserts

• Disaster zones (floods, earthquakes, conflict)

• Refugee camps

• Remote communities and off‑grid outposts

The system is presented in three build paths, so different teams can choose what they can realistically build:

Option A — Fully Buildable Today  

• Uses only off‑the‑shelf, proven technologies and simple fabrication.

Option B — Hybrid Real‑World + Near‑Future  

• Adds advanced but physically realistic modules inspired by the inventor’s prior work (Hyperion, VABR, Phoenix‑Cracker, Arachne, Omni‑Vortex, etc.).

Option C — …

Structural Mechanisms For A Modular Proactive Ai Cloud Operating System: Hierarchical Context Resolution, Anti-Fabrication-Bounded Narration, And Human-Confirmed Multi-Step Action (Icnli), Valentin Scerbacov

Defensive Publications Series

Deploying a foundation language model into a real operational domain — hosting, healthcare, finance, government, manufacturing, logistics — exposes a class of failures that the model layer cannot, by its probabilistic nature, eliminate: fabrication of facts never retrieved, unreliable multi-step action, loss of structured memory across sessions and channels, the absence of an enforceable human-control gate, and uncontrolled exposure of private data. This disclosure describes a set of structural mechanisms that bound these failures at a layer outside the model — the orchestration kernel — rather than attempting to train them away inside the model. The disclosed mechanisms are: (1) …

Efficiency Improvement Of Rag Based Slm For Edge Devices, Pavan Prashanth Avanigadda

Master’s Dissertations

The increasing need to deploy language models on constrained devices has given rise to efficiency issues in retrieval-augmented generation (RAG) approaches. Although RAGs boost answers’ quality by retrieving knowledge from external sources, current methods utilize static retrieval mechanisms, resulting in unnecessary computation, higher latencies, and inefficiency in resource usage. In this work, an efficient RAG approach based on small language models (SLMs) is presented, which uses a efficient and adaptive retrieval scheme. This method dynamically changes the retrieval depth and context constrution based on the complexity of the query, using a trained MLP router whose routing decisions are learned from …

Developing A Model To Generate More Digital Data Of Indian Languages For Multilingual Applications, Arya Bagde

Master’s Dissertations

Most of India’s scheduled languages remain critically under-served by language technology because parallel (translated) text — the raw material that modern multilingual systems depend on — is extremely scarce. Back-translation can synthesise such data automatically, but its quality varies enormously, and unfiltered synthetic data can be worse than no data at all. This dissertation develops a framework that generates synthetic parallel data for four low-resource Indian languages spanning three language families and four scripts — Assamese (Indo-Aryan, Bengali script), Bodo (Tibeto-Burman, Devanagari), Manipuri (Tibeto-Burman, Bengali script) and Santali (Austroasiatic, Ol Chiki)—and introduces CASCADE, a learned multi-signal quality gate that scores …

Dynamic Property Ordering For Efficient Multi-Property Bounded Model Checking, Vivek Kumar

Master’s Dissertations

Formal verification plays a critical role in ensuring the correctness of modern hardware designs. As the complexity of digital systems increases, designs are often associated with a large number of verification properties that must be analyzed within limited computational resources. In conventional multi-property bounded model checking (BMC), all properties are verified simultaneously. While this approach enables parallel analysis, difficult properties can consume a disproportionate amount of resources, causing simpler properties to be delayed and reducing the overall efficiency of bug detection. This thesis presents dynamic property ordering techniques for efficient multi-property verification using SAT-based bounded model checking in the ABC …

Empirical Analysis On Multi-Agent Reinforcement Learning Frameworks, Jordan Jiosi

Theses and Dissertations

Increasingly, automated agents operating in the physical world are expected to perform previously unseen tasks at levels comparable to human experts. Solutions to these challenges typically fall along a spectrum between model-based and model-free reinforcement learning (RL) approaches. Encouraging expert-like behavior in reinforcement learning is often difficult because reward functions can be challenging to specify accurately. Inverse reinforcement learning addresses this problem by inferring reward functions directly from expert demonstrations rather than relying on manually engineered objectives. This thesis examines the performance of both on-policy and off-policy model-free reinforcement learning algorithms, including Proximal Policy Optimization (PPO) and Deep Deterministic Policy …

A Rho5-Cnc1-Dnm1 Signalling Module Coordinates Multi-Organelle Execution Of Regulated Cell Death In Yeast, Justin Bauer

Theses and Dissertations

Regulated cell death is a conserved process with major implications for health and disease, yet how yeast cells integrate stress signals to determine survival versus death remains unclear. This thesis investigates Cyclin C (Cnc1), a conserved Mediator kinase module component with both transcriptional and mitochondrial roles. Together with Cdk8 Cnc1 primarily represses stress response genes, while upon stress it translocates to the mitochondria to induce mitochondrial fragmentation with the dynamin-related GTPase Dnm1. Using structure-guided separation-of-function mutants, I demonstrate that Cnc1-dependent death requires its mitochondrial function rather than its transcriptional role, and that its effector Dnm1 acts as a signaling node …

Anatomy And Function Of Vasopressin Receptor 1a-Expressing Neurons In The Limbic Thalamus, David Joseph Kahn

Theses and Dissertations

The vasopressin (Avp) system modulates social behavior through region-specific and sex-dependent mechanisms, yet the role of Avp receptor 1a (Avpr1a) signaling in the thalamus has remained largely unexplored. This dissertation examined the distribution and functional contributions of Avpr1a-expressing neurons across the mouse thalamus using a combination of genetic labeling, anatomical quantification, and chemogenetic manipulation. Mapping of Avpr1a-expressing neurons revealed a presence in most thalamic nuclei, with highest densities in the anterior thalamic nuclei and midline nuclei. Notably, Avpr1a-expressing neuron densities did not mirror previously described patterns of Avp innervation, and no sex differences in Avpr1a-expressing neuron density were observed. Chemogenetic …

From Innovation To Speculation: Ai And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi

Cowles Foundation Discussion Papers

The AI boom has driven the Nasdaq and the Magnificent Seven tech stocks to record highs. But how much do these new records reflect underlying value, how much is speculation, and how vulnerable are these stocks and the wider market to a major downturn? Our evidence and analyses show clear signs of bubble exuberance in most of these stocks, concentrated in a few names like Nvidia, leading to latent risks for investors who assume their index funds are safely diversified and supported by wider economic fundamentals.

Long-Term Outcomes Of Lamellar Crescentic Wedge Resection On Corneal Astigmatism And Optical Aberrations In Patients With Advanced Pellucid Marginal Degeneration, Ayşe Burcu, Hande Hüsni̇ye Telek, Hakan Mert, Yaprak Arzu Özdemi̇r, Züleyha Yalniz Akkaya, Evi̇n Şi̇ngar, Selma Özbek Uzman

Turkish Journal of Medical Sciences

Background/aim: The present study investigates the long-term changes in corneal astigmatism and aberrations following lamellar wedge resection in cases with advanced pellucid marginal degeneration (PMD).

Materials and methods: Patients with advanced PMD whose visual acuity did not improve with glasses or contact lenses underwent lamellar crescentic wedge resection. Pre- and postoperative assessments at 3, 6, 12, and 24 months using Pentacam HR were conducted to identify changes in corrected visual acuity, corneal astigmatism, and higher-order aberrations (HOAs) following the procedure, and compared with a control group.

Results: Statistically significant postoperative improvements in corrected visual acuity were observed at 6 and …

Effects Of Repetitive Peripheral Magnetic Stimulation On Poststroke Ankle Spasticity: A Double-Blind Randomized Controlled Trial, Hüseyi̇n Oğuzhan Aslantaş, Şehi̇m Kutlay, Haydar Gök, Semra Özkan, Seçi̇lay Güneş, Ati̇lla Hali̇l Elhan

Turkish Journal of Medical Sciences

Background/aim: Repetitive peripheral magnetic stimulation (rPMS) is a noninvasive, painless therapy aimed at improving spasticity, with a proposed mechanism that involves neuromodulation through somatosensory and proprioceptive afferent stimulation. The present study evaluates the effectiveness of rPMS on ankle plantar flexor spasticity in participants with stroke.

Materials and methods: Included in this prospective, double-blind, randomized, sham-controlled study were 50 participants with poststroke ankle plantar flexor spasticity graded 1–3 according to Modified Ashworth Scale (MAS). Participants were randomized into rPMS (n = 25) and sham (n = 25) groups. All participated in a conventional rehabilitation program, while the rPMS group received 10 …

Comparison Of Ultrasound-Guided Serratus Posterior Superior Intercostal Plane Block And Thoracic Paravertebral Block For Postoperative Analgesia After Breast Surgery: A Prospective Randomized Noninferiority Trial, Mustafa Sirri Kotanoğlu, Musa Zengi̇n, Onur Küçük, Atakan Sezgi̇, İbrahi̇m Topcu, Aras Meti̇n, Zeynep Ersoy, Jüli̇de Ergi̇l

Turkish Journal of Medical Sciences

Background/aim: This noninferiority trial aimed to evaluate whether the serratus posterior superior intercostal plane block (SPSIPB) provides noninferior postoperative analgesia compared with the thoracic paravertebral block (TPVB) after unilateral mastectomy.

Materials and methods: This prospective, randomized, assessor-blinded, parallel-group noninferiority trial enrolled 60 female patients scheduled for elective unilateral mastectomy. Patients received either ultrasound-guided SPSIPB (n = 30) or TPVB (n = 30) with 30 mL of 0.25% bupivacaine before induction. The primary outcome was visual analogue scale (VAS) pain scores (0–100 mm) at rest and during coughing over 24 h. Noninferiority was assessed using the Hodges–Lehmann median difference with 95% …

Bridging The Methodological Gap In Multitrauma Literature: A Competency-Based Educational Framework And Clinical Appraisal Filter, Şaki̇r Hakan Aksu, Burcu Doğan, Merve Yazla

Turkish Journal of Medical Sciences

Background/aim: The statistical complexity of contemporary multitrauma literature has increased considerably in recent years, which may pose challenges for clinicians seeking to interpret high-impact research and apply evidence-based practices. Characterizing this methodological landscape and exploring education-oriented approaches may help to improve the interpretability of the literature and support informed clinical decision-making.

Materials and methods: A cross-sectional analysis was conducted on the 100 most-cited multitrauma studies published in Science Citation Index Expanded journals indexed in the Web of Science database between January 2018 and November 2025. The statistical methods used in each article were categorized into the three competency levels of …

Clinical Outcomes Of Injectable And Conventional Pulmonary Valve Replacement In Severe Pulmonary Regurgitation, Sercan Tak, Murat Koç, Ali̇ Kutsal, Vehbi̇ Doğan

Turkish Journal of Medical Sciences

Background/aim: Pulmonary regurgitation following tetralogy of Fallot repair is a common long-term complication requiring pulmonary valve replacement. Injectable bioprosthetic valves offer a less invasive alternative to conventional surgical replacement, but comparative data in pediatric populations remain limited. This study aimed to evaluate short-term and long-term clinical outcomes of injectable pulmonary valve replacement and conventional pulmonary valve replacement in pediatric patients with severe pulmonary regurgitation following tetralogy of Fallot repair.

Materials and methods: This retrospective study included 22 pediatric patients who underwent pulmonary valve replacement. Patients were divided into injectable (n = 9) and conventional (n = 13) groups based on …

Omega-3–Rich Fish Oil Lipid Emulsions Significantly Prevent Sepsis-Driven Mesenteric Hypoperfusion And Multi-Organ Injury In Murine Models, Gökşen Öz, Esi̇n Özçelebi̇, Ayşe Yeşi̇m Göçmen, Cenk Sükmensüer, Selma Yildirim, Arzu Topeli̇, Alper Bektaş İski̇t

Turkish Journal of Medical Sciences

Background/aim: Parenteral feeding is used in critically ill patients when enteral nutrition is inadequate or intolerable, and the gastrointestinal tract is not functioning properly. Lipid emulsions play a major role in parenteral nutrition because they supply necessary fatty acids and a high-calorie density. We investigated the effects of parenteral lipid emulsions on mesenteric perfusion, inflammation-induced oxidation, and organ damage in lipopolysaccharide-induced mice endotoxemia model.

Materials and methods: In septic mice, organ damage induced by lipopolysaccharide was assessed by histopathology and biochemical examination. Additionally, an ultrasonic blood flowmeter was used to measure the impact of lipid emulsions on mesenteric blood flow. …

Vnotes High Uterosacral Ligament Suspension Versus Laparoscopic Lateral Suspension In The Management Of Vaginal Vault Prolapse: Initial Experience In A Single Tertiary Center, Ramazan Adan, Fati̇h Şahi̇n, Ulya Üskent, Mehmet Gökhan Çulha, Arzu Bi̇lge Teki̇n

Turkish Journal of Medical Sciences

Background/aim: The optimal technique for vaginal vault prolapse correction has yet to be identified. This study aimed to evaluate the anatomic and functional outcomes of women who underwent vaginal natural orifice transluminal endoscopic high uterosacral ligament suspension (vNOTES HUSLS) or laparoscopic lateral suspension (LLS).

Materials and methods: This retrospective study included symptomatic women with stage ≥2 vault prolapse who underwent vNOTES HUSLS or LLS between January 2019 and June 2022 at a tertiary center. The surgical efficacy, postoperative outcomes, complication rates, and recurrence frequencies of these procedures were compared. The primary outcomes of the study included anatomical success, patient-reported (subjective) …

Letter To The Editor: Telemedicine Versus Conventional Care For Nonspecific Neck Pain: A Randomized Controlled Study, Gülsemi̇n Ertürk Çeli̇k

Turkish Journal of Medical Sciences

No abstract provided.

Direct Minimization Of Hartree-Fock-Roothaan Energy Functionals Using Derivative-Free Optimization Algorithms: A Case Study On The Use Of Noninteger Slater-Type Orbitals, Ali̇ Bağci

Turkish Journal of Physics

This study presents an evaluation of derivative-free optimization algorithms for the direct minimization of Hartree−Fock−Roothaan energy functionals involving nonlinear orbital parameters and noninteger-order quantum numbers. The analysis focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals. Four methods are investigated under identical numerical conditions: Powell’s conjugate−direction method, the Nelder−Mead simplex algorithm, coordinate-based pattern search, and a model-based algorithm utilizing radial basis functions for surrogate-model construction. Performance analysis is first carried out using the Powell singular function, a well-established test case exhibiting challenging properties, including Hessian singularity at the …

Coupling A Discrete State To A Quasi-Continuum: A Model Quantum-Mechanical System That Interpolates Between Rabi Oscillations And Decay-Revival Dynamics, Enes Kutay İşgörür, Osman Cevheroğlu, Arkadaş Özakin

Turkish Journal of Physics

We formulate a quantum-mechanical system consisting of a single discrete state coupled to an infinite ladder of equally spaced states, with the coupling described by a Lorentzian profile. Various limiting cases of this system correspond to well-known models in quantum optics: the narrow-resonance limit yields the Rabi model, the wide-resonance limit yields the Bixon--Jortner model, the wide-resonance true continuum limit yields the Wigner--Weisskopf model, and the fixed-resonance true continuum limit yields a system typically studied using methods developed by Fano. We obtain a semianalytical solution to the eigenvalue problem by reducing it to a transcendental equation and demonstrate the limiting …