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Articles 22291 - 22320 of 1105838
Full-Text Articles in Entire DC Network
Methanogenic Activity In Neotropical Lacustrine Systems At Different Altitudes, Joyce Andrade, Andrés Calderón, Marcos Hidalgo, Jaime Martí-Herrero
Methanogenic Activity In Neotropical Lacustrine Systems At Different Altitudes, Joyce Andrade, Andrés Calderón, Marcos Hidalgo, Jaime Martí-Herrero
Neotropical Biodiversity
This study evaluated the methane (CH4) production capacity of microbial consortia from three neotropical lakes at different altitudes: Mojanda (4,263 m.a.s.l., 10°C), Papallacta (3,250 m.a.s.l., 14°C), and Caimanes (510 m.a.s.l., 25°C). Specific methanogenic activity (SMA) and biochemical methane potential (BMP) from cellulose were assessed at two temperatures (the original lake temperature and 37°C) and three different inoculum-to-substrate ratios (ISR of 1, 2, and 4). The highest SMA values were observed at 37°C, being 0.021, 0.011, and 0.009 g COD/gVS·d for Caimanes, Papallacta, and Mojanda, respectively. At their original temperatures, only Mojanda and Caimanes showed activity (0.007 and 0.014 COD/gVS·d), which …
Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance, Laiba Tahir, Arif Uddin
Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance, Laiba Tahir, Arif Uddin
Business Review
The purpose of this research is to examine the impact of collaborative social resources on project sustainability in Pakistan's IT Projects, with particular emphasis on the mediating effect of stakeholder engagement and the moderating role of project governance. A quantitative research strategy applied using a standardized questionnaire administered via Google Forms. The questionnaire, developed after reviewing relevant literature, and shared with IT professionals across Pakistan, yielding 342 valid responses out of approximately 600 distributed forms. Data analyzed with Statistical Package for the Social Sciences (SPSS) for preliminary analysis and AMOS (Analysis of Moment Structures) Structural Equation Modeling used for measurement …
Flow Over A Cylinder With A Small Triangular Bump, Jack Elliott, Alex Nielson, Barton L. Smith
Flow Over A Cylinder With A Small Triangular Bump, Jack Elliott, Alex Nielson, Barton L. Smith
Integrated Engineering Department Publications
The surface pressure distribution over a circular cylinder with a small, full-span, triangular bump is examined. The geometry of the bump is an isosceles triangle, the height of which is varied from 1.33 % to 5.33 % of the diameter of the cylinder and positioned between 60° and 120°. The Reynolds number (Re=V∞ D/ν, where V∞ is the velocity of the freestream, D is the diameter of the cylinder and ν is the kinematic viscosity) is varied between 1.1×105 and 1.8×105. The lift and drag are estimated through the surface integral of pressure over the cylinder. The results show that …
When Earth’S Lungs Collapse: How Wetland Loss Threatens Air Quality After Sackett V. Epa, Julia A. Hicks
When Earth’S Lungs Collapse: How Wetland Loss Threatens Air Quality After Sackett V. Epa, Julia A. Hicks
Seattle Journal of Technology, Environmental, & Innovation Law
No abstract provided.
On The Automatic Image Captioning Task In Italian: A Human-Centric Approach, Valentina De Amicis, Rajesh Jaiswal, Fernando Perez-Tellez
On The Automatic Image Captioning Task In Italian: A Human-Centric Approach, Valentina De Amicis, Rajesh Jaiswal, Fernando Perez-Tellez
Research Outputs: 2025-Present
Automatic Image Captioning (AIC) combines two distinct machine learning disciplines, Computer Vision (CV) and Natural Language Processing (NLP), forming a challenging research landscape. Much research has been carried out for AIC in the English language facilitated by the availability of English language datasets. However, this is not true for other languages. The aim of this work is to investigate existing AIC models' compatibility for the Italian language. The scope of this research will be aimed to reduced complexity, improved efficiency, and readily trainable models on smaller datasets while maintaining an acceptable level of caption quality. The popular Show and Tell …
Eco-Friendly Adsorption Of Rhodamine B Dye Using Dragon Fruit Seeds From Foodstuffs, J. N. Gari, Z. M. Saigl
Eco-Friendly Adsorption Of Rhodamine B Dye Using Dragon Fruit Seeds From Foodstuffs, J. N. Gari, Z. M. Saigl
The Journal of King Abdulaziz University: Science
The study aims to remove Rhodamine B (RhB) dye from environmental samples using dragon fruit seeds (DFS) as a potential and efficient biosorbent. Several batch experiments were systematically performed over set intervals to assess how variables such as contact time, temperature, pH, adsorbent dosage, and initial dye concentration influence dye removal performance. To better understand the characteristics of DFS, its surface morphology and chemical composition were investigated using analytical tools like FTIR, EDX, and SEM. The results indicated the adsorption happened quickly within 10 minutes of contact as equilibrium was achieved. The most effective extraction of dye was achieved at …
The Daily Gamecock: February 2026, University Of South Carolina, Office Of Student Media
The Daily Gamecock: February 2026, University Of South Carolina, Office Of Student Media
2026
No abstract provided.
The Rider (2026-02-16), Daniela Chapa-Reyes
Disproportionality Of Multilingual Learners In Special Education: A Mixed Methods Study Exploring The Relationship Between Teacher Self-Efficacy And Sheltered Instruction, Jessica Braynor
Theses and Dissertations
Abstract Jessica Braynor DISPROPORTIONALITY OF MULTILINGUAL LEARNERS IN SPECIAL EDUCATION: A MIXED METHODS STUDY EXPLORING THE RELATIONSHIP BETWEEN TEACHER SELF-EFFICACY AND SHELTERED INSTRUCTION 2025-2026 Hajime Mitani, Ph.D. Doctor of Education in Educational Leadership This study addressed the issue of disproportionality of multilingual learners (MLs) in Special Education. Using mixed-methods explanatory sequential design, the study examined the relationship between sheltered instruction implementation, domain-specific self-efficacy (pedagogical-content, linguistic, and sociocultural), and referrals of MLs to Intervention & Referral Services (I&RS) and Special Services. Quantitative data were collected from general education teachers using measures of Sheltered Instruction Observation Protocol (SIOP) implementation and self-efficacy, along …
Using Artificial Intelligence To Mitigate Bottlenecks In Last-Mile Logistics: A Developing Country Perspective, Marvel S. Ogah, Comfort Ademola, Gregory Asiegbu
Using Artificial Intelligence To Mitigate Bottlenecks In Last-Mile Logistics: A Developing Country Perspective, Marvel S. Ogah, Comfort Ademola, Gregory Asiegbu
International Journal of Applied Management and Technology
The digital revolution of the logistic value chain has improved critical aspects of the global supply chain, especially in the aspect of last-mile logistics (LML). Bottlenecks, however, such as delays in deliveries, increased lead times, pollution, poor cost management, and tracking issues, among several others, plague the logistics operations in developing countries. Artificial intelligence (AI) can help mitigate these bottlenecks toward delivering incremental value to the end customers. This paper investigates the extent to which AI has been adopted in the logistics value chain in developing countries using a descriptive approach. Quantitative data were collected from 290 logistics and e-commerce …
Enhancement Of Plastic Deformation In Ultrasound-Assisted Cold Spray Of Tungsten: A Molecular Dynamics Study, Md Tusher Ahmed, Farid Ahmed, Jianzhi Li
Enhancement Of Plastic Deformation In Ultrasound-Assisted Cold Spray Of Tungsten: A Molecular Dynamics Study, Md Tusher Ahmed, Farid Ahmed, Jianzhi Li
Manufacturing & Industrial Engineering Faculty Publications
Tungsten (W) is widely valued for its exceptional thermal stability, mechanical strength, and corrosion resistance, making it an ideal candidate for high-performance military and aerospace applications. However, its high melting point and limited room-temperature plasticity pose significant challenges for processing W using additive manufacturing (AM). Cold spray (CS), a solid-state AM process that relies on high-velocity particle impact and plastic deformation, offers a promising route for additive manufacturing of W, yet conventional CS fails to induce sufficient plastic deformation for effective bonding. In this study, we employ atomistic simulations to investigate the effect of ultrasonic perturbation in …
Translating Low-Level Features Into Student Friendly Explanations Using Xai, Ben Johnson, Keith Nolan
Translating Low-Level Features Into Student Friendly Explanations Using Xai, Ben Johnson, Keith Nolan
Research Outputs: 2025-Present
An alarming decline in Gaeilge proficiency has renewed education efforts, fueled by the rise of AI in recent years. This research presents the development of a deep learning framework designed to evaluate spoken Gaeilge (henceforth Irish) proficiency of learners by quantifying student voice sample similarity to everyday Irish speaker truth samples, combined with explainable AI (XAI) techniques used to generate proof-of-concept student-friendly feedback. While automatic speech recognition (ASR) systems for high-resource languages like English have access to large, detailed datasets, the Irish language relies on a limited availability of speech resources, that challenges traditional model development. We address these gaps …
An Explainable Multimodal Framework For Real-Time Bitcoin Forecasting, Dipesh Badal, Abdelsalam Busalim, Donghyeok Lee
An Explainable Multimodal Framework For Real-Time Bitcoin Forecasting, Dipesh Badal, Abdelsalam Busalim, Donghyeok Lee
Research Outputs: 2025-Present
High-frequency crypto forecasting requires systems that are accurate, explainable, and designed for human decision-making. Bitcoin presents a unique challenge for Human-Centred AI (HCAI) due to its volatility and sensitivity to heterogeneous technical, fundamental, and sentiment signals. This paper presents an explainable multimodal framework for Bitcoin forecasting at 15-minute resolution. We align five modalities - market data, on-chain metrics, the Fear & Greed Index (FGI), news, and Reddit - onto a unified, leakage-safe 15-minute grid. We evaluate tree-based, sequential, and Multimodal Fusion Block (MFB) models for next-interval log-return prediction using chronological splits. Results show that while short-horizon prediction remains challenging, multimodal …
Green Synthesis Of Clitoria Ternatea L. Silver Nanoparticles Into Cotton Fabric For Antibacterial Activity, S. D. Hasarangi, J. A. L. P. Jayasinghe, S. M. J. C. Abhayasekara, M. S. D. Fernando, L. M. Hettihewa
Green Synthesis Of Clitoria Ternatea L. Silver Nanoparticles Into Cotton Fabric For Antibacterial Activity, S. D. Hasarangi, J. A. L. P. Jayasinghe, S. M. J. C. Abhayasekara, M. S. D. Fernando, L. M. Hettihewa
Journal of Innovation in Science, Engineering and Technology
Clitoria ternatae L. is a medicinal plant rich in bioactive compounds and green synthesis of silver nanoparticles (AgNPs) using plant extracts offers a sustainable approach with reduced toxicity and minimum environmental impact. In this study, AgNPs were synthesized using aqueous extract of C. ternatae flowers and coated onto cotton fabric to evaluate its antibacterial activity. Dried flower powder (0.02 g) was extracted with distilled water and silver nanoparticles were synthesized using silver nitrate solution (3 mM) under at 50 °C. The nanoparticles were characterized using UV-Vis spectroscopy, Dynamic Light Scattering (DLS), Fourier Transform Infrared Spectroscopy (FTIR). Incorporation on cotton fabric …
Formulation And Development Of Herbal Sunscreen Gel From Leucas Zeylanica And Tagetes Erecta, P. K. Wanniarachchi, W. M. K. M. Ratnayake
Formulation And Development Of Herbal Sunscreen Gel From Leucas Zeylanica And Tagetes Erecta, P. K. Wanniarachchi, W. M. K. M. Ratnayake
Journal of Innovation in Science, Engineering and Technology
Leucas zeylanica (Family: Lamiaceae) and Tagetes erecta (Family: Asteraceae) are annual herbs traditionally used in home remedies and Ayurvedic medicine. Although both plants have been individually studied for their pharmacological properties, their synergistic effects and combined use in cosmetic formulations for sun protection have not been previously reported. This study aimed to evaluate the synergistic antioxidant and photoprotective activities of 95% ethanol extracts of the aerial parts of L. zeylanica, flower heads of T. erecta, and their combinations (1:1, 1:2, and 2:1). Antioxidant activity was assessed using the DPPH radical scavenging assay, with ascorbic acid as the positive …
Formulation And Development Of Skincare Cream Using Pleurotus Djamor, K. A. E. Madushanka, W. V. P. M. Weligalla, K. D. K. P. Kumari, W. M. K. M. Ratnayake
Formulation And Development Of Skincare Cream Using Pleurotus Djamor, K. A. E. Madushanka, W. V. P. M. Weligalla, K. D. K. P. Kumari, W. M. K. M. Ratnayake
Journal of Innovation in Science, Engineering and Technology
Mushrooms have emerged as versatile and valuable resources in the cosmetic industry, offering a plethora of benefits that range from skincare to haircare formulations. As natural alternatives to synthetic ingredients, mushrooms not only cater to the growing consumer demand for sustainable and eco-friendly products but also offer unique properties such as antioxidant, anti-inflammatory and moisturizing effects. Hence, Pleurotus djamor, which is a grown mushroom in Sri Lanka was selected to prepare a new cream formulation for skincare. In the study, an aqueous extract of P. djamor (AEPD) was used and phytochemical screening was done to screen alkaloids, saponins, flavonoids, …
Identification Of Hnf1a Variants In A Mody-Suspected Sri Lankan Cohort Using Targeted Sanger Sequencing, V. R. Martin, V. Fonseka, A. N. Senanayake, S. M. Perera, N. Hemachandra, P. Weerasooriya, S. M. Samarasinghe, L. M. Hettihewa
Identification Of Hnf1a Variants In A Mody-Suspected Sri Lankan Cohort Using Targeted Sanger Sequencing, V. R. Martin, V. Fonseka, A. N. Senanayake, S. M. Perera, N. Hemachandra, P. Weerasooriya, S. M. Samarasinghe, L. M. Hettihewa
Journal of Innovation in Science, Engineering and Technology
Among the many risk factors for Diabetes Mellitus (DM), genetic variations play an important role. Maturity Onset Diabetes of the Young (MODY) has emerged as a monogenic form of diabetes affecting young adults. MODY can be developed before the age of 25, emphasizing the urgent need for the identification of prognostic biomarkers for the early detection. MODY3 is a sub type that can be characterized by the impaired insulin secretion. HNF1A (HNF1 homeobox A) gene variants were reported to be associated with predisposing to MODY3 subtype. We conducted a pilot study to evaluate the genetic background of the suspected MODY3 …
Extension Of Imposter Detection During Online Tests To Detect Other Fraudulent Acts, Athula Seneviratne, Indika Perera, Shantha Fernando
Extension Of Imposter Detection During Online Tests To Detect Other Fraudulent Acts, Athula Seneviratne, Indika Perera, Shantha Fernando
Journal of Innovation in Science, Engineering and Technology
With more and more institutions adopting online delivery of education, the accompanying need for assessing students online is increasing. However, the tendency of some candidates to engage in fraudulent acts to gain undue advantage over other candidates undermine the integrity of the online testing process. It is a major challenge faced by test administering institutions. The most widespread fraudulent act is impersonation. Existing studies primarily focus on the detection of this particular fraudulent act. However, there are other fraudulent acts as well, resorted to by cheating candidates. Methods of detecting these other acts have not been sufficiently studied. The objective …
Novel Technique For Enhancing The Therapeutic Efficacy Of Coenzyme Q10 In Transdermal Drug Delivery Systems For Skin Rejuvenation, L. M. Hettihewa, K. G. P. Wasana, Y. M. Imendra, G. P. C. Weerasooriya, W. M. K. M. Rathnayake
Novel Technique For Enhancing The Therapeutic Efficacy Of Coenzyme Q10 In Transdermal Drug Delivery Systems For Skin Rejuvenation, L. M. Hettihewa, K. G. P. Wasana, Y. M. Imendra, G. P. C. Weerasooriya, W. M. K. M. Rathnayake
Journal of Innovation in Science, Engineering and Technology
Coenzyme Q10 (CoQ10) is a very imperative compound for electron transport chain in mitochondria and exerts its effects as cutaneous antioxidant. All human cells have CoQ10, and sometime deficiency had been identified due to genetic defects or with ageing. Supplements with COQ 10 are commonly used enteral and dermal application for the prevention and treatment of aging. Delivery of dermal CoQ10 is very limited due to its poor penetration and unstable compounds. systematic review was conducted by our research group through electronic databases using preclinical and randomized controlled trials to evaluate the efficacy and stability of improved delivery systems of …
Assessment Of Antioxidant Retention Of Boiled And Non-Boiled Aqueous Extracts Of Broccoli, Cabbage, Kohlrabi And Cauliflower In Sri Lanka, D. M. S. S. Dassanayake, B. C. K. Kumari, P. R. H. Perera, G. M. Yasasvi, L. M. Hettihewa, W. M. K. M. Ratnayake
Assessment Of Antioxidant Retention Of Boiled And Non-Boiled Aqueous Extracts Of Broccoli, Cabbage, Kohlrabi And Cauliflower In Sri Lanka, D. M. S. S. Dassanayake, B. C. K. Kumari, P. R. H. Perera, G. M. Yasasvi, L. M. Hettihewa, W. M. K. M. Ratnayake
Journal of Innovation in Science, Engineering and Technology
The comparison of antioxidant activities between non-boiled and boiled aqueous extracts of selected vegetables from the Brassica oleracea L. species is an interesting study topic, particularly in a context like Sri Lanka, where traditional and modern medicinal practices often emphasize the role of dietary plants in health. Hence, this was aimed to evaluate the antioxidant potential of boiled and non-boiled aqueous extracts (BAE and NBAE respectively) of selected vegetables belonging to the Brassica oleracea L species, which are commonly consumed as a raw vegetable in fresh salads as well as a cooked vegetable in curry or fried form i.e. Brassica …
Assessment Of In-Vitro Anti-Diabetic And Antioxidant Activities Of Selected Edible Mushrooms, Agaricus Bisporus (Button Mushroom), Pleurotus Cystidiosus (Abalone) And Pleurotus Ostreatus (American Oyster) In Sri Lanka, E. J. Siriwardene, G. S. D. Nawaruwan, A. H. M. A. N. Abesinghe, H. D. Dedigama, K. H. E. Fernando, K. D. K. P. Kumari, W. M. K. M. Ratnayake
Assessment Of In-Vitro Anti-Diabetic And Antioxidant Activities Of Selected Edible Mushrooms, Agaricus Bisporus (Button Mushroom), Pleurotus Cystidiosus (Abalone) And Pleurotus Ostreatus (American Oyster) In Sri Lanka, E. J. Siriwardene, G. S. D. Nawaruwan, A. H. M. A. N. Abesinghe, H. D. Dedigama, K. H. E. Fernando, K. D. K. P. Kumari, W. M. K. M. Ratnayake
Journal of Innovation in Science, Engineering and Technology
Mushrooms are a valuable source of proteins and vitamins as well as a food source with several pharmacological values. Hence, Higher mushroom consumption can lower the risk of certain diseases. However, a literature survey revealed that published scientific information on the therapeutic potential of some edible mushrooms is still being determined. Hence, this study evaluated and compared the antioxidant and α -amylase potential of some of the three commonly used mushroom varieties in Sri Lanka i.e. Agaricus bisporus (Button mushroom), Pleurotus cystidiosus (Abalone mushroom) and Pleurotus ostreatus (American oyster). The antioxidant activity of hot aqueous extracts of the above three …
Body Mass Index And Clinical Phenotypes Of Primary Dysmenorrhea In Female University Students: Evidence From Sri Lanka Using Walidd Scoring, H. K. A. N. Senanayake, K. L. A. S. I. Liyanarachchi, J. K. M. Jagoda, S. A. S. A. Maheepala, L. C. Mallawa, P. W. T. M. Dayarathne, Y. T. R. Somisena, L. M. Hettihewa
Body Mass Index And Clinical Phenotypes Of Primary Dysmenorrhea In Female University Students: Evidence From Sri Lanka Using Walidd Scoring, H. K. A. N. Senanayake, K. L. A. S. I. Liyanarachchi, J. K. M. Jagoda, S. A. S. A. Maheepala, L. C. Mallawa, P. W. T. M. Dayarathne, Y. T. R. Somisena, L. M. Hettihewa
Journal of Innovation in Science, Engineering and Technology
This research investigates the relationship between body weight and the severity and characteristics of primary dysmenorrhea among female undergraduates in Sri Lanka, using the WaLIDD Score as an evaluative tool. The study aims to assess the practicality of the WaLIDD Score in native settings, examining its correlation with pain intensity, pain location, and common medication patterns, while addressing gaps in previous research conducted in Sri Lanka. A quantitative cross-sectional study was conducted among 389 female university students aged 19–27 years from both state and non-state universities in Sri Lanka, selected through stratified random sampling. Participants with chronic or menstrual diseases, …
Conceptual Analysis Of Ārthavavaha Srotas (Female Reproductive System): A Review Of The Theories And Literature, Pushpa Kulanatha, H. L. M. G. Sajeewani
Conceptual Analysis Of Ārthavavaha Srotas (Female Reproductive System): A Review Of The Theories And Literature, Pushpa Kulanatha, H. L. M. G. Sajeewani
Journal of Innovation in Science, Engineering and Technology
The reproductive health of females during their fertile years is foundational for individual well-being and societal prosperity. The purpose of this study was to bridge the analytical and epistemological gaps currently existing in the literature regarding Ārthavavaha Srotas (ĀvS), the Ayurvedic concept of the female reproductive system. A comprehensive literature review was conducted using forward and backward searches to analyse authentic Ayurvedic texts (Caraka and Sushruta Samhitas) alongside contemporary research articles published between 2014 and 2024. The analysis identified ten specific aspects of the ĀvS where prior interpretations were superficial or unclear. The results of this study epistemologically validate ancient …
Electrocatalytic Degradation Of Methylene Blue Using Rgo, Sb2o3, And Rgo-Sb2o3 Composite Ink-Based Electrodes, Maria Irene Myers Armas, Andrea M. Fletes, Thomas Eubanks, Arnulfo Mar, Jason Parsons, Helia Magali Morales
Electrocatalytic Degradation Of Methylene Blue Using Rgo, Sb2o3, And Rgo-Sb2o3 Composite Ink-Based Electrodes, Maria Irene Myers Armas, Andrea M. Fletes, Thomas Eubanks, Arnulfo Mar, Jason Parsons, Helia Magali Morales
School of Integrative Biological & Chemical Sciences Faculty Publications
Water pollution from industrial dyes is a critical challenge due to the resistance of these types of compounds to degradation and potentially harmful effects on living organisms and human health. In this study, the electrochemical degradation of methylene blue (MB) was investigated using ink-based copper foam electrodes with reduced graphene oxide (rGO), antimony trioxide (Sb2O3), and rGO/Sb2O3 composites. The materials used to synthesize the electrodes were characterized by X-ray diffraction (XRD), which showed the successful synthesis of GO, rGO, and the Sb2O3-rGO composite. Additionally, the synthesized electrodes were examined using SEM. The MB degradation was studied using kinetic behavior and …
On Explaining The Sentiments In Prediction Of Stock Movement: An Xai-Based Analysis, D. J. Ranade, Sarthak Bhaya, Siddhanth Bhimakari, Moe Aye Chan, Keith Quille, Rajesh Jaiswal
On Explaining The Sentiments In Prediction Of Stock Movement: An Xai-Based Analysis, D. J. Ranade, Sarthak Bhaya, Siddhanth Bhimakari, Moe Aye Chan, Keith Quille, Rajesh Jaiswal
Research Outputs: 2025-Present
Empirical evidence shows that short-horizon equity returns are not fully random; there is a degree of predictability, especially when traditional financial data is combined with public sentiment measures. Sentiment-based features have been used to improve prediction tasks, but there is limited explanation of their contribution. In addition, the impact of news on investor sentiment, and how that impact decays over time, has rarely been investigated. To bridge this gap, we integrate sentiment scores extracted from financial news headlines using HKUST FinBERT with daily market-based indicators to predict the next-day price direction. We evaluated two aggregation strategies: the most confident news …
Enhancing Training For Law Enforcement In Mental Health Responses In The Community, Tiffany Raines
Enhancing Training For Law Enforcement In Mental Health Responses In The Community, Tiffany Raines
Walden Dissertations and Doctoral Studies
A significant issue in human services practice in Macon, Georgia, is law enforcement officers’ responding to individuals experiencing a mental health crisis in public. Many police officers are not equipped to handle situations involving individuals experiencing mental health events, leading to possible adverse outcomes such as injury, incarceration, or even fatalities. There are increasing rates of mental illness disorders, and therefore, the need for compassionate, informed approaches for human service professionals to respond to those in crisis. More training to improve responses can lead to better outcomes for individuals in crisis, foster community trust in law enforcement, and enhance overall …
Strspy2.0: Unlocking The Potential Of Long Reads For Forensic Dna Profiling, Courtney L Hall, Rupesh K Kesharwani, Katherine E Mcbroom Henson, Bupe Kapema, Nicole R Phillips, Fritz J Sedlazeck, Roxanne R Zascavage
Strspy2.0: Unlocking The Potential Of Long Reads For Forensic Dna Profiling, Courtney L Hall, Rupesh K Kesharwani, Katherine E Mcbroom Henson, Bupe Kapema, Nicole R Phillips, Fritz J Sedlazeck, Roxanne R Zascavage
Faculty, Staff and Students Publications
Forensic human identification relies on length-based differences in short tandem repeats (STRs) across autosomal and Y chromosomes, which require separate reactions and provide limited resolution. While next-generation sequencing offers greater discriminatory power, most platforms are expensive and restricted to traditional lab settings. Nanopore sequencing has the potential to change this with the real-time, portable MinION sequencer. However, forensic-specific tools that generate STR profiles compatible with established length-based databases are lacking. To address this, we developed STRspy2.0, which simultaneously profiles autosomal and Y-STRs using nanopore reads. STRspy2.0 produced accurate profiles for 54 multiplexed control libraries and 41 mock casework samples (blood, …
Modeling Spasticity: A Systematic Review, Gaby Gonzalez Chan, Jonathan Marsden, Alexander Besinis, Pablo Borja, Hilary Gunn
Modeling Spasticity: A Systematic Review, Gaby Gonzalez Chan, Jonathan Marsden, Alexander Besinis, Pablo Borja, Hilary Gunn
School of Health Professions
Spasticity, a type of hypertonia characterized by a velocity-dependent increase in muscle tone, is associated with damage to the brain and/or spinal cord in different neurological conditions. However, secondary non-neurological factors, such as soft tissue changes, can complicate the assessment and differentiation of the underlying causes. Accurate assessment is crucial for effective treatment planning, with clinicians relying on passive movement to grade the ‘feel’ of the spastic limb. This review aims to identify and evaluate the feasibility of spasticity models or simulations for clinical teaching. Models based on human spastic limbs were examined, with no restrictions on specific conditions or …
Data Preprocessing Methods For Automating Mlops Pipelines: A Comparative Study, Surya Teja Gowd Ayinavilli, Keith Quille, Tarry Singh
Data Preprocessing Methods For Automating Mlops Pipelines: A Comparative Study, Surya Teja Gowd Ayinavilli, Keith Quille, Tarry Singh
Research Outputs: 2025-Present
Preprocessing tools for data are increasingly being utilized in MLOps pipelines to develop models automatically. However, the fairness and reliability of automated processes are inadequately researched, risking causing performance degradation or bias. This discrepancy is addressed in this thesis with an evaluation of automated data preprocessing methods compared to a baseline approach, designed for integration into a TensorFlow Extended (TFX) pipeline. The performance of each method was compared in terms of classification measures and subgroup fairness to determine potential bias. Significance tests were employed to compare the performance of each automated method against the baseline. The results indicate that around …
Educators' Evaluation Of Explanation Types In Xai For Higher Education Dropout, Henry Maathuis, Jan Glazenborg, Meike Grol, Keith Quille
Educators' Evaluation Of Explanation Types In Xai For Higher Education Dropout, Henry Maathuis, Jan Glazenborg, Meike Grol, Keith Quille
Research Outputs: 2025-Present
First-year student dropout rates represent a global challenge, particularly in Computer Science programs. In response, the Predict Student Success (PreSS) tool was developed over two decades using Naïve Bayes, a black box machine learning model, to identify students at risk of early withdrawal or academic failure. Given growing concerns about the use of black box models in high-stakes domains such as education, this study builds on former research by comparing the Naïve Bayes model to three glass box AI models: Decision Tree, Explainable Boosting Machine, and Automatic Piecewise Linear Regression. These models were used to generate four types of explainable …