Digital Commons Network^™

Hpc-Enabled Fast And Configurable Dynamic Simulation, Analysis, And Learning For Complex Power System Adaptation And Control, Cong Wang

All Dissertations

This dissertation presents an HPC-enabled fast and configurable dynamic simulation, analysis, and learning framework for complex power system adaptation and control. Dynamic simulation for a large transmission system comprising thousands of buses and branches implies the latency of complicated numerical computations. However, faster-than-real-time execution is often required to provide timely support for power system planning and operation. The traditional approaches for speeding up the simulation demand extensive computing facilities such as CPU-based multi-core supercomputers, resulting in heavily resource-dependent solutions. In this work, by coupling the Message Passing Interface (MPI) protocol with an advanced heterogeneous programming environment, further acceleration can be …

Enhancing Security And Performance Of Deep Neural Networks, Azadeh Gholamrezazadeh Famili

All Dissertations

The significance of security is often overlooked until a catastrophic event occurs. This holds for the security of existing IoT devices. Numerous devices have been deployed and repurposed without adequately considering their security vulnerabilities. There is a lack of comprehensive security protocols for devices that frequently interact with one another. Even in emerging fields like machine learning (ML), which has found extensive applications in strategy optimization, decision-making, data classification, and other domains, discussions around security vulnerabilities are not widespread. Regarding security in ML, the focus tends to revolve around specific topics such as adversarial attacks. However, due to the remarkable …

Trust-Based Variable Impedance Control And Passivity-Based Switched System Analysis For Human-Robot Cooperative Manipulation, Zhanrui Liao

All Dissertations

Human-robot cooperative manipulation (co-manipulation) is one of the most prominent human-robot collaboration (HRC) tasks, where humans and robots manipulate the same object. Trust in HRC is crucial in determining human acceptance of robots and, hence, robot utilization. A probabilistic dynamic Bayesian network (DBN) trust model that integrates a time-series trust model is presented in this thesis. The trust model is learned using a continuous and normalized Baum-Welch (BW) algorithm, devised to account for the continuous nature of trust evolution and the limitations of the classic parameter learning method. To ensure a good HRC in co-manipulation, a variable impedance control framework …

Making The Move Toward Meaningfulness In Learning Activities: Enhancing Teacher Self-Efficacy In Student Engagement Through An Instructional Coaching Approach In Improvement Science, Maureen Tiller

All Dissertations

Student engagement is a common problem in schools today and a challenging one to solve. Choosing to dive deeper into this complex problem at one high school, ten teachers participated in a coaching cycle designed to impact self-efficacy in student engagement with the support of the school’s instructional coach in collaboration with the principal. One overarching research question guided this improvement science study: What impact does an instructional coaching cycle focused on meaningfulness in learning activities have on teachers’ self-efficacy in student engagement? To answer the research question, I conducted a quantitative and qualitative data analysis of pre- and …

Damage Detection With An Integrated Smart Composite Using A Magnetostriction-Based Nondestructive Evaluation Method: Integrating Machine Learning For Prediction, Christopher Nelon

All Dissertations

The development of composite materials for structural components necessitates methods for evaluating and characterizing their damage states after encountering loading conditions. Laminates fabricated from carbon fiber reinforced polymers (CFRPs) are lightweight alternatives to metallic plates; thus, their usage has increased in performance industries such as aerospace and automotive. Additive manufacturing (AM) has experienced a similar growth as composite material inclusion because of its advantages over traditional manufacturing methods. Fabrication with composite laminates and additive manufacturing, specifically fused filament fabrication (fused deposition modeling), requires material to be placed layer-by-layer. If adjacent plies/layers lose adhesion during fabrication or operational usage, the strength …

Lessons For The Next Generation Of Scientists From The Second Annual Arthur And Sandra Irving Cancer Immunology Symposium, Christopher Alvarez-Breckenridge, Kristin G Anderson, Ana Luisa Correia, Shadmehr Demehri, Huy Q Dinh, Gavin P Dunn, Jeremy Goc, Zinaida Good, Nir Hacohen, Patrick Han, Pavel Hanč, John Hickey, Kelly Kersten, Beiyun C Liu, Aitziber Buque, Yuxuan 'Phoenix' Miao, J Justin Milner, Yuri Pritykin, Ferdinando Pucci, Nicole E Scharping, Lisa Sudmeier, Yufei Wang, Andreas Wieland, Michelle M Williams

Faculty, Staff and Student Publications

The Arthur and Sandra Irving Cancer Immunology Symposium has been created as a platform for established cancer immunologists to mentor trainees and young investigators as they launch their research career in the field. By sharing their different paths to success, the senior faculty mentors provide an invaluable resource to support the development of the next generation of leaders in the cancer immunology community. This Commentary describes some of the key topics that were discussed during the 2022 symposium: scientific and career trajectory, leadership, mentoring, collaborations, and publishing. For each of these topics, established investigators discussed the elements that facilitate success …

Predicting The Spatio-Temporal Response Of Recurrent Glioblastoma Treated With Rhenium-186 Labelled Nanoliposomes, Chase Christenson, Chengyue Wu, David A Hormuth, Shiliang Huang, Ande Bao, Thomas E Yankeelov

Faculty, Staff and Student Publications

Rhenium-186 (186Re) labeled nanoliposome (RNL) therapy for recurrent glioblastoma patients has shown promise to improve outcomes by locally delivering radiation to affected areas. To optimize the delivery of RNL, we have developed a framework to predict patient-specific response to RNL using image-guided mathematical models.

METHODS: We calibrated a family of reaction-diffusion type models with multi-modality imaging data from ten patients (NCR01906385) to predict the spatio-temporal dynamics of each patient's tumor. The data consisted of longitudinal magnetic resonance imaging (MRI) and single photon emission computed tomography (SPECT) to estimate tumor burden and local RNL activity, respectively. The optimal model from the …

An Ace2 Decamer Viral Trap As A Durable Intervention Solution For Current And Future Sars-Cov, Hailong Guo, Bomsoo Cho, Paul R Hinton, Sijia He, Yongjun Yu, Jwala Priyadarsini Sivaccumar, Kristen Campo, Sarah Holland, Sameer Sachdeva, Christopher Mensch, Mohamed Dawod, Annalis Whitaker, Philip Eisenhauer, Allison Falcone, Rebekah Honce, Jason W Botten, Stephen F Carroll, Bruce A Keyt, Andrew W Womack, William R Strohl, Kai Xu, Ningyan Zhang, Zhiqiang An, Sha Ha, John W Shiver, Tong-Ming Fu

Faculty, Staff and Student Publications

The capacity of SARS-CoV-2 to evolve poses challenges to conventional prevention and treatment options such as vaccination and monoclonal antibodies, as they rely on viral receptor binding domain (RBD) sequences from previous strains. Additionally, animal CoVs, especially those of the SARS family, are now appreciated as a constant pandemic threat. We present here a new antiviral approach featuring inhalation delivery of a recombinant viral trap composed of ten copies of angiotensin-converting enzyme 2 (ACE2) fused to the IgM Fc. This ACE2 decamer viral trap is designed to inhibit SARS-CoV-2 entry function, regardless of viral RBD sequence variations as shown by …

Alpha Particle-Emitting Radiopharmaceuticals As Cancer Therapy: Biological Basis, Current Status, And Future Outlook For Therapeutics Discovery, Ryan P Coll, Scott J Bright, David K J Martinus, Dimitra K Georgiou, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Critical advances in radionuclide therapy have led to encouraging new options for cancer treatment through the pairing of clinically useful radiation-emitting radionuclides and innovative pharmaceutical discovery. Of the various subatomic particles used in therapeutic radiopharmaceuticals, alpha (α) particles show great promise owing to their relatively large size, delivered energy, finite pathlength, and resulting ionization density. This review discusses the therapeutic benefits of α-emitting radiopharmaceuticals and their pairing with appropriate diagnostics, resulting in innovative "theranostic" platforms. Herein, the current landscape of α particle-emitting radionuclides is described with an emphasis on their use in theranostic development for cancer treatment. Commonly studied radionuclides …

The Risk Index As A Basis For Risk/Benefit Analyses And Protocol Optimization In Diagnostic Nuclear Imaging, Juan C Ocampo Ramos, Lukas M Carter, Justin L Brown, Harry Marquis, Carlos F Uribe, Wesley E Bolch

Faculty, Staff and Student Publications

Background: Potential risk associated with low-dose radiation exposures is often expressed using the effective dose (E) quantity. Other risk-related quantities have been proposed as alternatives. The recently introduced risk index (RI) shares similarities with E but expands the metric to incorporate medical imaging-appropriate risks factors including patient-specific size, age, and sex.

Purpose: The aim of this work is to examine the RI metric for quantifying stochastic radiation risk and demonstrate its applications in nuclear imaging. The advantages in this improved metric may help the field progress toward stratified risk consideration in the course of patient management, improve efforts for procedure …

Plastic, It's What's For Dinner: A Preliminary Comparison Of Ingested Particles In Bottlenose Dolphins And Their Prey, Leslie B Hart, Miranda Dziobak, Randall S Wells, Elizabeth Berens Mccabe, Eric Conger, Maggie Knight

Faculty, Staff and Student Publications

Microplastic ingestion was reported for common bottlenose dolphins (Tursiops truncatus) inhabiting Sarasota Bay, FL, USA, a community that also has prevalent exposure to plasticizers (i.e., phthalates) at concentrations higher than human reference populations. Exposure sources are currently unknown, but plastic-contaminated prey could be a vector. To explore the potential for trophic exposure, prey fish muscle and gastrointestinal tract (GIT) tissues and contents were screened for suspected microplastics, and particle properties (e.g., color, shape, surface texture) were compared with those observed in gastric samples from free-ranging dolphins. Twenty-nine fish across four species (hardhead catfish, Ariopsis felis; pigfish, Orthopristis …

Deep Learning With Effective Hierarchical Attention Mechanisms In Perception Of Autonomous Vehicles, Qiuxiao Chen

All Graduate Theses and Dissertations, Fall 2023 to Present

Autonomous vehicles need to gather and understand information from their surroundings to drive safely. Just like how we look around and understand what's happening on the road, these vehicles need to see and make sense of dynamic objects like other cars, pedestrians, and cyclists, and static objects like crosswalks, road barriers, and stop lines.

In this dissertation, we aim to figure out better ways for computers to understand their surroundings in the 3D object detection task and map segmentation task. The 3D object detection task automatically spots objects in 3D (like cars or cyclists) and the map segmentation task automatically …

Cost Minimizing Energy Management Control Scheme For Microgrids Considering Dynamic Electricity Prices, Levi T. Miller

All Graduate Theses and Dissertations, Fall 2023 to Present

As countries develop and technology improves, the world is using more energy than ever before. This fact along with several other political, social, and economic factors has resulted in simultaneous energy and climate crises. A partial solution to both problems is bringing clean energy sources of electricity closer to the customers who use that energy. A microgrid is a smaller version of the national electric grid where smaller electricity generators are networked with local consumers and controlled independently of the main grid. Because control of electricity sources and loads are transferred to local controllers, the flexibility with which they can …

Estimated Aerodynamic Forces And Moments And Optimal Orientation Of The V-Bat Airframe During Vertical Landing In Gusty Conditions, Parker C. Carter

All Graduate Theses and Dissertations, Fall 2023 to Present

Ship based Unmanned Air Systems (UAS) are an important tool used by the United States Navy for situational awareness and short-range operations. Naval UAS are used to provide real-time intelligence, surveillance, reconnaissance, and target-acquisition while being low cost, mission flexible, and safe. Unfortunately UAS suffer disadvantages with respect to adverse environmental conditions caused by the air being displaced by the ship. The accumulation of one or more adverse conditions is known as airwake. To counteract the effects of airwake, the objectives of this work are to first evaluate the effect of forces and moments during the vertical landing phase of …

Investigating Parents' Value Of Children Learning About Agriculture, Amelia J. Miller

All Graduate Theses and Dissertations, Fall 2023 to Present

It is commonly held that parents have a profound impact on child development. Decades of research investigated the ways parents, the community, and school staff interact to foster student learning during kindergarten through twelfth grade education. Agriculture provides for daily needs through the growth, harvest, and processing of food, fiber, fuel, and forestry products. This research sought to understand the level of importance parents place on their children learning about agriculture in school.

A 26-question survey was distributed to a nationally representative sample of parents having at least one child in K-12 education within the United States. Results of this …

Editorial: Innovations, Advances, And Challenges In Precision Radiation Oncology Physics, Fada Guan, Lawrence Bronk, Jinbo Yue, Radhe Mohan, Zhe Chen

Faculty, Staff and Student Publications

No abstract provided.

Toll-Like Receptor 4 Agonist Injection With Concurrent Radiotherapy In Patients With Metastatic Soft Tissue Sarcoma: A Phase 1 Nonrandomized Controlled Trial, Yongwoo David Seo, Hailing Lu, Graeme Black, Kimberly Smythe, Yuexin Yu, Juliana Ng, E Houston Warren, Brett A Schroeder, Ryan B O'Malley, Lee D Cranmer, Elizabeth T Loggers, Michael J Wagner, Lynn Bonham, Venu G Pillarisetty, Gabrielle Kane, Peter Berglund, Frank J Hsu, Xinlei Mi, Borislav A Alexiev, Robert H Pierce, Stanley R Riddell, Robin L Jones, Jan Ter Meulen, Edward Y Kim, Seth M Pollack

Faculty, Staff and Student Publications

Importance: Metastatic soft tissue sarcomas (STSs) have limited systemic therapy options, and immunomodulation has not yet meaningfully improved outcomes. Intratumoral (IT) injection of the toll-like receptor 4 (TLR4) agonist glycopyranosyl lipid A in stable-emulsion formulation (GLA-SE) has been studied as immunotherapy in other contexts.

Objective: To evaluate the safety, efficacy, and immunomodulatory effects of IT GLA-SE with concurrent radiotherapy in patients with metastatic STS with injectable lesions.

Design, setting, and participants: This phase 1 nonrandomized controlled trial of patients with STS was performed at a single academic sarcoma specialty center from November 17, 2014, to March 16, 2016. Data analysis …

Inhibition Of The Proline Metabolism Rate-Limiting Enzyme P5cs Allows Proliferation Of Glutamine-Restricted Cancer Cells, Samantha J Linder, Tiziano Bernasocchi, Bárbara Martínez-Pastor, Kelly D Sullivan, Matthew D Galbraith, Christina M Ferrer, Giorgia G Silveira, Hyo Min Cho, Charles Vidoudez, Stuti Shroff, Joao P Oliveira-Costa, Kenneth N Ross, Rami Massri, Yusuke Matoba, Eugene Kim, Bo R Rueda, Shannon L Stott, Eyal Gottlieb, Joaquin M Espinosa, Raul Mostoslavsky

Faculty, Staff and Student Publications

Glutamine is a critical metabolite for rapidly proliferating cells as it is used for the synthesis of key metabolites necessary for cell growth and proliferation. Glutamine metabolism has been proposed as a therapeutic target in cancer and several chemical inhibitors are in development or in clinical trials. How cells subsist when glutamine is limiting is poorly understood. Here, using an unbiased screen, we identify ALDH18A1, which encodes P5CS, the rate-limiting enzyme in the proline biosynthetic pathway, as a gene that cells can downregulate in response to glutamine starvation. Notably, P5CS downregulation promotes de novo glutamine synthesis, highlighting a previously unrecognized …

Effect Of Epithelial-Specific Myd88 Signaling Pathway On Airway Inflammatory Response To Organic Dust Exposure, Amber N Johnson, John Dickinson, Amy Nelson, Rohit Gaurav, Katrina Kudrna, Katherine Janike, Jill A Poole

Faculty, Staff and Student Publications

The Toll-like receptor (TLR) adaptor protein MyD88 is integral to airway inflammatory response to microbial-enriched organic dust extract (ODE) exposures. ODE-induced airway neutrophil influx and release of pro-inflammatory cytokines was essentially abrogated in global MyD88-deficient mice, yet these mice demonstrate an increase in airway epithelial cell mucin expression. To further elucidate the role of MyD88-dependent responses specific to lung airway epithelial cells in response to ODE in vivo, the surfactant protein C protein (SPC) Cre+ embryologic expressing airway epithelial cells floxed for MyD88 to disrupt MyD88 signaling were utilized. The inducible club cell secretory protein (CCSP) Cre+, MyD88 floxed, …

Exploring Illness Perceptions Of Multimorbidity Among Community-Dwelling Older Adults: A Mixed Methods Study, Ayomide Okanlawon Bankole, Rozmin B Jiwani, Forgive Avorgbedor, Jing Wang, Onome H Osokpo, Carrie Jo Braden

Faculty, Staff and Student Publications

Background: Illness perceptions are individual beliefs or experiences about the nature and treatment of their illness. Although extensive research exists about illness perceptions, little is known about illness perceptions of multimorbidity.

Methods: The purpose of this parallel-convergent mixed-methods study was to comprehensively explore illness perception of multimorbidity among community dwelling older adults. Data was collected using one-on-one semi-structured interviews (n=17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (n=116). Qualitative data were analyzed using content analysis while quantitative data were analyzed with descriptive and inferential statistics. Both qualitative and quantitative findings were integrated to identify differences in illness perceptions of multimorbidity …

Enhanced Tp53 Reactivation Disrupts Myc Transcriptional Program And Overcomes Venetoclax Resistance In Acute Myeloid Leukemias, Yuki Nishida, Jo Ishizawa, Edward Ayoub, Rafael Heinz Montoya, Lauren B Ostermann, Vivian R Ruvolo, Darah A Scruggs, Shayaun Khazaei, Po Yee Mak, Wenjing Tao, Bing Z Carter, Steffen Boettcher, Benjamin L Ebert, Naval G Daver, Marina Konopleva, Takahiko Seki, Kensuke Kojima, Michael Andreeff

Faculty, Staff and Student Publications

The tumor suppressor TP53 is frequently inactivated in a mutation-independent manner in cancers and is reactivated by inhibiting its negative regulators. We here cotarget MDM2 and the nuclear exporter XPO1 to maximize transcriptional activity of p53. MDM2/XPO1 inhibition accumulated nuclear p53 and elicited a 25- to 60-fold increase of its transcriptional targets. TP53 regulates MYC, and MDM2/XPO1 inhibition disrupted the c-MYC-regulated transcriptome, resulting in the synergistic induction of apoptosis in acute myeloid leukemia (AML). Unexpectedly, venetoclax-resistant AMLs express high levels of c-MYC and are vulnerable to MDM2/XPO1 inhibition in vivo. However, AML cells persisting after MDM2/XPO1 inhibition exhibit a …

Biomechanical Evaluation Of Mitral Valve Repair: Virtual Chordal Transposition To Restore Anterior Leaflet Prolapse, David D Mcpherson

Faculty, Staff and Student Publications

Background: Surgical management of an anterior leaflet prolapse remains comparatively challenging and has led to the lack of any firmly established standard repair techniques, as seen in cases of posterior leaflet prolapse. Chordal transposition repair is widely acknowledged as a remarkably durable technique that utilizes the patient's native chordae. This study aims to evaluate and predict the biomechanical and functional characteristics of a normal mitral valve (MV) model and a pathological MV model featuring anterior ruptured mitral chordae tendineae (RMCT), and to assess the effectiveness of the chordal transposition repair in the pathological MV model.

Methods: There are four stages …

Nurse Care Management For Opioid Use Disorder Treatment: The Proud Cluster Randomized Clinical Trial, Jennifer Mccormack, Noorie Hyun, Abisola E Idu, Cynthia I Campbell, Andrew J Saxon, David S Liu, Andrea Altschuler, Jeffrey H Samet, Colleen T Labelle, Mohammad Zare-Mehrjerdi, Angela L Stotts, Jordan M Braciszewski, Mark T Murphy, Douglas Dryden, Julia H Arnsten, Chinazo O Cunningham, Viviana E Horigian, José Szapocznik, Joseph E Glass, Ryan M Caldeiro, Rebecca C Phillips, Mary Shea, Gavin Bart, Robert P Schwartz, Jennifer Mcneely, Jane M Liebschutz, Judith I Tsui, Joseph O Merrill, Gwen T Lapham, Megan Addis, Katharine A Bradley, Proud Trial Collaborators, Megan M Ghiroli, Leah K Hamilton, Yong Hu, Jennifer S Lahue, Amy M Loree, Sean M Murphy, Thomas F Northrup, Dikla Shmueli-Blumberg, Angela J Silva, Zoe M Weinstein, Mark Tinfook Wong, Rachael P Burganowski

Faculty, Staff and Student Publications

Importance: Few primary care (PC) practices treat patients with medications for opioid use disorder (OUD) despite availability of effective treatments.

Objective: To assess whether implementation of the Massachusetts model of nurse care management for OUD in PC increases OUD treatment with buprenorphine or extended-release injectable naltrexone and secondarily decreases acute care utilization.

Design, setting, and participants: The Primary Care Opioid Use Disorders Treatment (PROUD) trial was a mixed-methods, implementation-effectiveness cluster randomized clinical trial conducted in 6 diverse health systems across 5 US states (New York, Florida, Michigan, Texas, and Washington). Two PC clinics in each system were randomized to intervention …

Closing The Gaps In Care Of Dyslipidemia: Revolutionizing Management With Digital Health And Innovative Care Models, Macarena Lopez Gonzalez, Robert J Ostfeld, Peter P Toth, Vera Bittner, Seth S Martin, Jamal S Rana, Khurram Nasir, Michael D Shapiro, Salim S Virani, Leandro Slipczuk

Faculty, Staff and Students Publications

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, unawareness, underdiagnosis and undertreatment of these disorders remain a significant global health concern. Growth in digital applications and newer models of care provide novel tools to improve the management of chronic conditions such as dyslipidemia. In this review, we discuss the evolving landscape of lipid management in the 21st century, current treatment gaps and possible solutions through digital health and new models of care. Our discussion begins with the history and development of value-based care and the national establishment of quality metrics for various chronic conditions. …

Steroid Receptor Coactivator-2 Drives Epithelial Reprogramming That Enables Murine Embryo Implantation, Ramakrishna Kommagani, San Pin Wu, Bert W O'Malley, Francesco J Demayo, John P Lydon

Faculty, Staff and Students Publications

Although we have shown that steroid receptor coactivator-2 (SRC-2), a member of the p160/SRC family of transcriptional coregulators, is essential for decidualization of both human and murine endometrial stromal cells, SRC-2’s role in the earlier stages of the implantation process have not been adequately addressed. Using a conditional SRC-2 knockout mouse (SRC-2 ^d/d) in timed natural pregnancy studies, we show that endometrial SRC-2 is required for embryo attachment and adherence to the luminal epithelium. Implantation failure is associated with the persistent expression of Mucin 1 and E-cadherin on the apical surface and basolateral adherens junctions of the SRC-2 …

Residual Trapping Of Co2, N2, And A Co2-N2 Mixture In Indiana Limestone Using Robust Nmr Coreflooding: Implications For Co2 Geological Storage, Amer Alanazi, Auby Baban, Muhammad Ali, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

Carbon capture and sequestration (CCS) in geological formations is a prominent solution for reducing anthropogenic carbon emissions and mitigating climate change. The capillary trapping of CO2 is a primary trapping mechanism governed by the pressure difference between the wetting and nonwetting phases in a porous rock, making the latter a key input parameter for dynamic simulation models. During the CCS operational process, however, the CO2 is prone to contamination by impurities from various sources such as surfaces (e.g., pipelines and tanks) and the subsurface (e.g., existing natural gas). Such contamination can strongly influence the overall CO2 wettability, storage capacity, and …

Finding Ideal Parameters For Recycled Material Fused Particle Fabrication-Based 3d Printing Using An Open Source Software Implementation Of Particle Swarm Optimization, Shane Oberloier, Nicholas G. Whisman, Joshua M. Pearce

Michigan Tech Publications

As additive manufacturing rapidly expands the number of materials including waste plastics and composites, there is an urgent need to reduce the experimental time needed to identify optimized printing parameters for novel materials. Computational intelligence (CI) in general and particle swarm optimization (PSO) algorithms in particular have been shown to accelerate finding optimal printing parameters. Unfortunately, the implementation of CI has been prohibitively complex for noncomputer scientists. To overcome these limitations, this article develops, tests, and validates PSO Experimenter, an easy-to-use open-source platform based around the PSO algorithm and applies it to optimizing recycled materials. Specifically, PSO Experimenter is used …

Multivariate Analysis Approach To Factor-Affected Tuberculosis Disease, Zuli Agustina Gultom, Farid Akbar Siregar, Mahardika Abdi Prawira Tanjung, Al-Hamidy Hazidar

Knowledge Engineering and Data Science

Tuberculosis is a disease caused by infection with the mycobacterium tuberculosis complex. Tuberculosis attack organ besides the lung, such as the pleura, lining of the brain, lining of the heart, lymph gland, bones, joint, skin, intestines, kidney, urinary tract, and genital. This disease is found in densely populated settlements with poor sanitation, lack of ventilation and sunlight and lack of rest. Moreover, the factors that will be analyzed in this research are Population Density (X1), Number of HIV/AIDS (X2), number of toddlers who experience nutrition (X3), Number of toddlers who experience BCG immunization (X4), number of toddlers who get exclusive …

Systematic Literature Review On Ontology-Based Indonesian Question Answering System, Fadhila Tangguh Admojo, Adidah Lajis, Haidawati Nasir

Knowledge Engineering and Data Science

Question-Answering (QA) systems at the intersection of natural language processing, information retrieval, and knowledge representation aim to provide efficient responses to natural language queries. These systems have seen extensive development in English and languages like Indonesian present unique challenges and opportunities. This literature review paper delves into the state of ontology-based Indonesian QA systems, highlighting critical challenges. The first challenge lies in sentence understanding, variations, and complexity. Most systems rely on syntactic analysis and struggle to grasp sentence semantics. Complex sentences, especially in Indonesian, pose difficulties in parsing, semantic interpretation, and knowledge extraction. Addressing these linguistic intricacies is pivotal for …

Evidence Of Students’ Academic Performance At The Federal College Of Education Asaba Nigeria: Mining Education Data, Arnold Adimabua Ojugo, Christopher Chukwufunaya Odiakaose, Frances Emordi, Rita Erhovwo Ako, Winifred Adigwe, Kizito Eluemonor Anazia, Victor Geteloma

Knowledge Engineering and Data Science

One main objective of higher education is to provide quality education to its students. One way to achieve the highest level of quality in the higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnormal values in the result sheets of the students, and prediction about students’ performance. The knowledge is hidden among the educational data set and is extractable through data mining techniques. The present paper is designed to justify the capabilities of data mining …