Digital Commons Network^™

Optimising The Fashion E-Commerce Journey: A Data-Driven Approach To Customer Retention, Hasna Luthfiana Fadhila, Vynska Amalia Permadi, Sylvert Prian Tahalea

Knowledge Engineering and Data Science

A fashion e-commerce company offers a wide range of products from domestic and international brands that are popular with young people. However, there has been an increase in non-organically acquired customers, many of whom do not return to make repeat purchases. This has led to a higher customer churn rate, with a significant proportion of non-organically sourced customers failing to become repeat purchasers. Consequently, a churn analysis and prediction model were developed to address this issue. This paper employs the Recency, Frequency, and Monetary (RFM) framework for churn analysis and prediction. The framework is underpinned by three key dimensions: last …

Random Forest Algorithm To Measure The Air Pollution Standard Index, Ariyono Setiawan, Untung Lestari Wibowo, Ahmad Mubarok, Khoirunnisa Larasati

Knowledge Engineering and Data Science

This study uses the Random Forest algorithm to measure and predict the Air Pollution Standard Index (APSI) at Blimbing Banyuwangi Airport. Air pollution data, including concentrations of O3, CO, NO2, SO2, PM2.5, and PM10, were collected from air monitoring stations at the airport from April 15-30, 2024. APSI measurement followed established formulas by relevant authorities. Data analysis utilized statistical approaches and computational algorithms. The findings reveal that air quality at the airport is generally "Moderate," with occasional "Good" days. The Random Forest algorithm effectively predicts APSI based on existing pollution data. These results provide insights for improving air pollution management …

A Novel Approach To Defect Detection In Arabica Coffee Beans Using Deep Learning: Investigating Data Augmentation And Model Optimization, Yusriel Ardian, Novta Danyel Irawan, Sutoko Sutoko, I Nyoman Gede Arya Astawa

Knowledge Engineering and Data Science

Arabica coffee beans have valuable market worth because of their taste and quality, and there are defects like wholly and partially black beans that can lower the standards of a product, especially in the premium coffee sector. However, the manual processes used to detect the defects take an inordinate amount of time and are inefficient. This study aims to bridge the knowledge gap on the automated detection and recognition of the defects present in the Arabica coffee beans by creating and optimizing a CNN model based on a modified VGG16 architecture. The model applies data augmentation, rotation, cropping, and Bayesian …

The Blurry Line Between Corporation And Cult: A Retrospective Autoethnographic Study, Ernst Graamans

The Qualitative Report

In popular management literature corporations are sometimes loosely compared to cults. The comparison is a severe allegation as it implies the transgression of subordinate employees’ integrity. This paper explores to what extent such comparisons with cults are warranted as well as the implications this has for the practice of corporate culture management. On grounds of the author’s unique, first-hand experience in both corporate and cultic environments a retrospective autoethnographic (RAE) approach was chosen to further explore the supposed resemblance. The comparison is structured along Lifton’s eight criteria of thought reform and reveals that although akin to cults in all aspects …

Contributions Of Barad's New Materialism To Well-Being Research, M. Isidora Bilbao-Nieva, Alejandra Meyer

The Qualitative Report

In this article, we discuss the contributions that Karen Barad's theorizations can make to the study of well-being, particularly their ontoepistemological framework, “agential realism,” that emphasizes the inseparability of matter, ethics, and knowledge, as the relational entanglements of agencies. We use these ideas to imagine well-being as differential materializations, entanglements of human, and the non-human agencies that “intra-act” with each other and are inseparable from how we know about them and our responsibilities in their reconfigurations. From this perspective, we see well-being as a phenomenon, underpinning its dynamism and processuality. Analyzing an interview fragment, we exemplify how Barad's theorizations can …

Mutualism As Mutual Trust: An Ethnographic Case Study On An Elementary-School Teacher-Team Participation In A Science Pd Program, Olga Gould-Yakovleva, Xiufeng Liu

The Qualitative Report

This grounded in social constructivism yearlong ethnographic case study was conducted at the final stage of a larger, longitudinal, multisite, and multi-year project. The current research focused on a group of urban public elementary schoolteachers who volunteered to participate in the National Science Foundation (NSF)-funded interdisciplinary science and engineering partnership (ISEP) project. These teachers were enrolled in the professional development (PD) college courses in physics and engineering design, summer research in university laboratories, and interdisciplinary science inquiry (ISI) pedagogy sessions. This research sought to understand the factors which contributed to successful teamwork at the elementary school under investigation. Additionally, this …

Juggling Academic Practice And Care: Collaborative Autoethnography Within A Basque University Research Group, Asunción Martínez-Arbelaiz, Aingeru Gutierrez-Cabello, Estibaliz Aberasturi-Apraiz, Jose M. Correa-Gorospe

The Qualitative Report

Many university scholars, including the authors of this article, acknowledge that they feel like they are riding an emotional roller coaster with academic success, as well as many project failures. Except for our PhD thesis, many of us complete our research tasks in relatively established research groups. However, little research has examined the potential these groups might have to mitigate feelings of academic isolation. To fill in this gap, we designed two methodological steps. First, we adopted the Woolfian metaphor of a room of our own, where we composed individual vignettes regarding our feelings of isolation. We read each other's …

Evaluation Of Modulus Of Elasticity Of Concrete Containing Both Natural And Recycled Concrete Aggregates, Zaiwei Li, Long Yuan Li, Shanshan Cheng

School of Engineering, Computing and Mathematics

There is growing requirement to use recycled aggregate in concrete to demote industrial wastes produced by construction sectors. Thus, to develop simple but meaningful formulations to assess the mechanical properties of concrete, when it is mixed with both natural and recycled aggregates, becomes essential. In the present study an analytical approach to calculate the elastic modulus of concrete containing both natural and recycled concrete aggregates is proposed. The approach is developed on the concept of effective medium approximation but considering the effect of Poisson's ratio. Two analytical formulas are derived. One is for the two-phase concrete (mortar and aggregate) that …

Patent Law 101: I Know It When I See It, Matthew Sipe

Articles

In the decade since its creation by the Supreme Court, the Alice/Mayo test for patentable subject matter under § 101 has been sharply criticized by many — and yet is still without meaningful reform. This Article adds to the corpus by empirically demonstrating a troubling consequence of contemporary § 101 doctrine: panel-dependent outcomes at the Federal Circuit. Specifically, this Article relies on a novel, whole-population dataset (all § 101 decisions made by the Federal Circuit up to 2023, hand-coded on a claim-by-claim basis) under natural-experiment circumstances (random panel assignments). Analysis of that data indicates that which judges are assigned to …

Using The Consolidated Framework For Implementation Research (Cfir) To Guide Implementation Of Cardio-Oncology Services, Jessica Miller Clouser, Colleen A Mcmullen, Akosua K Adu, Gretchen Wells, Amit Arbune, Jing Li

2020-Current year OA Pubs

INTRODUCTION: Cardio-oncology focuses on diagnosing and preventing adverse cardiovascular outcomes in cancer patients. Interdisciplinary cardio-oncology services address the spectrum of prevention, detection, monitoring, and treatment of cancer patients at risk of cardio-toxicity and aim to improve the continuum of cardiac care for oncology patients. The goal of this study was to engage clinician and administrative stakeholders to assess multilevel needs, barriers, and expectations regarding cardio oncology services.

METHODS: We interviewed clinicians and administrators at an academic medical center using the Consolidated Framework for Implementation Research (CFIR) to understand multilevel determinants influencing cardio-oncology service implementation. We also conducted a web-based survey …

Feasibility Of Surface-Guidance Combined With Cbct For Intra-Fractional Breath-Hold Motion Management During Ethos Rt, Taeho Kim, Eric Laugeman, Kendall Kiser, Joshua Schiff, Shanti Marasini, Alex Price, H Michael Gach, Nels Knutson, Pamela Samson, Clifford Robinson, Casey Hatscher, Lauren Henke

2020-Current year OA Pubs

PURPOSE: High-quality CBCT and AI-enhanced adaptive planning techniques allow CBCT-guided stereotactic adaptive radiotherapy (CT-STAR) to account for inter-fractional anatomic changes. Studies of intra-fractional respiratory motion management with a surface imaging solution for CT-STAR have not been fully conducted. We investigated intra-fractional motion management in breath-hold Ethos-based CT-STAR and CT-SBRT (stereotactic body non-adaptive radiotherapy) using optical surface imaging combined with onboard CBCTs.

METHODS: Ten cancer patients with mobile lower lung or upper abdominal malignancies participated in an IRB-approved clinical trial (Phase I) of optical surface image-guided Ethos CT-STAR/SBRT. In the clinical trial, a pre-configured gating window (± 2 mm in AP …

Automated Model Building And Protein Identification In Cryo-Em Maps, Kiarash Jamali, Lukas Käll, Rui Zhang, Alan Brown, Dari Kimanius, Sjors H W Scheres

2020-Current year OA Pubs

Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high levels of expertise and labour-intensive manual intervention in three-dimensional computer graphics programs

Cognitive Flexibility Training For Chronic Pain: A Randomized Clinical Study, Katherine J. Holzer, Marko S. Todorovic, Elizabeth A. Wilson, Aaron Steinberg, Michael S. Avidan, Simon Haroutounian

2020-Current year OA Pubs

INTRODUCTION: Previous studies suggest an association between cognitive flexibility and development of chronic pain after surgery. It is not known whether cognitive flexibility can be improved in patients with chronic pain.

OBJECTIVES: This study tested whether a neurocognitive training program results in improved cognitive flexibility and pain in patients with chronic pain.

METHODS: We conducted a single-center, prospective, randomized study investigating 5-week daily neurocognitive training in patients with chronic pain. Participants (n = 145) were randomized into neurocognitive training or care as usual, and they completed assessments at baseline, posttreatment, and 3 months. The treatment group was asked to spend …

T-Cell Acute Lymphoblastic Leukemia/Lymphoma (T-All) With Negative Screening Immaturity Markers And Gamma-Delta Receptor Expression, Maria Faraz, Anita Parmigiani, Nina Monkash, Anne Chen

2020-Current year OA Pubs

T-cell acute lymphoblastic leukemia/lymphoma (T-ALL) is characterized by the combination of T-cell lineage and the presence of immaturity marker(s). Sometimes, the most common immaturity markers for initial flow cytometry screening in T-ALL may be negative, which can be a diagnostic pitfall. When a lack of common first-line immaturity markers is encountered in combination with gamma/delta T-cell receptor expression, a misdiagnosis of mature gamma-delta T-cell leukemia/lymphoma could be rendered. Here, we discuss two T-ALL cases with the absence of common flow cytometry immaturity markers and positive gamma/delta receptor expression.

Interstate Highway Connections And Traced Gun Transfers Between The 48 Contiguous United States, Leah Roberts, Mark H Hoofnagle, Brady Bushover, Ariana N Gobaud, Christina A Mehranbod, Carolyn Fish, Christopher N Morrison

2020-Current year OA Pubs

IMPORTANCE: Interstate gun flow has critical implications for gun violence prevention, as gun transfers across state lines can undermine local gun control policies.

OBJECTIVE: To identify possible gun trafficking routes along interstate highways in the US.

DESIGN, SETTING, AND PARTICIPANTS: This repeated-measures, ecological, cross-sectional study used data from the Bureau of Alcohol, Tobacco, Firearms and Explosives from January 1, 2010, to December 31, 2019, to examine associations between interstate connections via 13 highways that each spanned at least 1000 miles and interstate traced gun transfer counts for the 48 contiguous United States. Analyses were completed in November 2023.

EXPOSURES: Characteristics …

Cholesterol 25-Hydroxylase Mediates Neuroinflammation And Neurodegeneration In A Mouse Model Of Tauopathy, Danira Toral-Rios, Justin M Long, Jason D Ulrich, Jinsheng Yu, Michael R Strickland, Xianlin Han, David M Holtzman, Anil G Cashikar, Steven M Paul

2020-Current year OA Pubs

Alzheimer's disease (AD) is characterized by amyloid plaques and neurofibrillary tangles, in addition to neuroinflammation and changes in brain lipid metabolism. 25-Hydroxycholesterol (25-HC), a known modulator of both inflammation and lipid metabolism, is produced by cholesterol 25-hydroxylase encoded by Ch25h expressed as a "disease-associated microglia" signature gene. However, whether Ch25h influences tau-mediated neuroinflammation and neurodegeneration is unknown. Here, we show that in the absence of Ch25h and the resultant reduction in 25-HC, there is strikingly reduced age-dependent neurodegeneration and neuroinflammation in the hippocampus and entorhinal/piriform cortex of PS19 mice, which express the P301S mutant human tau transgene. Transcriptomic analyses of …

Cognitive Outcomes Of Children With Sagittal Craniosynostosis Treated With Either Endoscopic Or Open Calvarial Vault Surgery, Suresh N Magge, Annahita R Fotouhi, Virginia Allhusen, Brent R Collett, Gary B Skolnick, Sybill D Naidoo, Matthew D Smyth, Robert F Keating, Raj Vyas, Gary F Rogers, Kamlesh B Patel

2020-Current year OA Pubs

IMPORTANCE: Several studies have reported a higher incidence of neurodevelopmental delays and cognitive deficits in patients with single-suture craniosynostosis; however, there are few studies examining the associations of repair type with cognitive outcomes.

OBJECTIVE: To measure differences in neuropsychological outcomes between school-age children who were treated for sagittal craniosynostosis and unaffected controls and explore differences in cognitive function among children with sagittal craniosynostosis who were previously treated with either endoscopic strip craniectomy or open calvarial vault surgery.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study was performed between 2018 and 2022. Eligible participants included patients aged 5 to 17 years who …

Brain High-Throughput Multi-Omics Data Reveal Molecular Heterogeneity In Alzheimer's Disease, Abdallah M. Eteleeb, Brenna C. Novotny, Carolina Soriano Tarraga, Christopher Sohn, Eliza Dhungel, Logan Brase, Aasritha Nallapu, Jared Buss, Fabiana Farias, Kristy Bergmann, Joseph Bradley, Joanne Norton, Jen Gentsch, Fengxian Wang, Albert A. Davis, John C. Morris, Celeste M. Karch, Richard J. Perrin, Bruno A. Benitez, Oscar Harari

2020-Current year OA Pubs

Unbiased data-driven omic approaches are revealing the molecular heterogeneity of Alzheimer disease. Here, we used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles with clinical and neuropathological data from multiple human AD cohorts. We discovered 4 unique multimodal molecular profiles, one of them showing signs of poor cognitive function, a faster pace of disease progression, shorter survival with the disease, severe neurodegeneration and astrogliosis, and reduced levels of metabolomic profiles. We found this molecular profile to be present in multiple affected cortical regions associated with higher Braak tau scores and significant dysregulation of synapse-related genes, endocytosis, …

Dna Combing Versus Dna Spreading And The Separation Of Sister Chromatids, Alice Meroni, Sophie E Wells, Carmen Fonseca, Arnab Ray Chaudhuri, Keith W Caldecott, Alessandro Vindigni

2020-Current year OA Pubs

DNA combing and DNA spreading are two central approaches for studying DNA replication fork dynamics genome-wide at single-molecule resolution by distributing labeled genomic DNA on coverslips or slides for immunodetection. Perturbations in DNA replication fork dynamics can differentially affect either leading or lagging strand synthesis, for example, in instances where replication is blocked by a lesion or obstacle on only one of the two strands. Thus, we sought to investigate whether the DNA combing and/or spreading approaches are suitable for resolving adjacent sister chromatids during DNA replication, thereby enabling the detection of DNA replication dynamics within individual nascent strands. To …

On The Genealogy Of Intimate Digital Harm, Aziz Z. Huq

Michigan Law Review

A review of The Fight for Privacy: Protecting Dignity, Identity, and Love in the Digital Age. By Danielle Keats Citron.

Still Searching For Zora Neale Hurston, Khiara M. Bridges

Michigan Law Review

A review of Their Eyes Were Watching God. By Zora Neale Hurston.

Shutting Out Noise And Understanding Artificial Intelligence, Lauren J. Yu

Michigan Law Review

A review of Noise: A Flaw in Human Judgment. By Daniel Kahneman, Olivier Sibony and Cass R. Sunstein, and You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place. By Janelle Shane.

Modeling And Predicting The Dynamics Of Covid 19 In Malaysia A State Space Approach, Wan Munirah Wan Mohamad, Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion, Abdul Latif Mohd Riza, Azmirul Ashaari

Malaysian Journal of Computing (MJoC)

The emergence of COVID-19 in Malaysia in January 2020 marked the beginning of a significant public health challenge. Despite the transition to the endemic phase on April 1, 2022, the global impact of the virus remains substantial. This research aims to forecast the cumulative number of detected cases and deaths by employing a state-space model derived from the Susceptible-Infectious-Recovered (SIR) model, capturing the multi-wave dynamics of COVID-19. The modeling focuses on estimating the trends within the time interval spanning from week 1 to week 12, commencing in mid-June 2022. Real-time data sourced from the Ministry of Health in Malaysia serve …

Analyzing The Impact Of Feature Selection Using Information Gain For Airlines Customer Satisfaction, Farah Aqilah Bohani, Farah Syazwani Mohamed Rashid, Yuzi Mahmud, Sitti Rachmawati Yahya

Malaysian Journal of Computing (MJoC)

Feature selection has become a focus of research in many fields that deal with machine learning and data mining because it makes classifiers cost-effective, faster, and more accurate. In this paper, the impact of feature selection using filter methods such as Information Gain is shown. The impact of feature selection has been analyzed based on the accuracy of two classifiers: J48 and Naïve Bayes. The Airline Customer Satisfaction datasets have been used for comparing with and without applying Information Gain. As a result, J48 achieved 0.33% and 0.29% improvements in accuracy after applying Information Gain for 10-fold and 20-fold cross-validation, …

Sir Fractional Order Of Covid-19 By Adams Bashforth-Moulton Method, Zubaidah Sadikin, Zaileha Md Ali, Fatin Nadira Rusly, Nuramira Husna Abu Hassan, Siti Rahimah Batcha, Noratika Nordin

Malaysian Journal of Computing (MJoC)

This study addresses a research gap by introducing fractional order derivatives into the SIR model for tracking COVID-19 in Malaysia. The Caputo sense fractional derivative and the Adams Bashforth Moulton method are employed to analyse the COVID-19 behavior and stability. By manipulating fractional order derivative values, this study investigates their impact on key SIR parameters, observing that lower values accelerate the attainment of asymptotic behavior in populations. The stability analysis reveals two equilibrium points: an unstable disease-free equilibrium and a stable endemic equilibrium within the system. This pioneering exploration of fractional order derivatives in the context of Malaysia's COVID-19 modeling …

Exploratory Analysis With Association Rule Mining Algorithms In The Retail Industry, Alaa Amin Hashad, Khaw Khai Wah, Alhamzah Alnoor, Xinying Chew

Malaysian Journal of Computing (MJoC)

Every year the retail sector expands quickly. These industries are becoming more competitive and difficult to operate in due to their expansion. Changing consumer buying habits, a decline in people's spending capacity and an increase in international retailers are a few of the difficulties that must be overcome. In the context of mining frequent item sets, many methods have been proposed to push various kinds of limitations inside the most well-known algorithms. This study presents an exploratory analysis for retail stores that uses market basket analysis as one of the data mining techniques to identify frequent patterns in customer purchases. …

A Study On The Relationship Between Game Based Learning And Secondary School Students Mathematics Achievement In Smk Kompleks Gong Badak, Nur Sajidah Che Mansor, Nur Syazana Rosly

Malaysian Journal of Computing (MJoC)

Digital game-based learning (DGBL) is an instructional method that incorporates educational content or learning principles into video games with the aim of engaging learners. The teaching techniques in schools are mostly still teacher-centered where the practice of exercise and memorization of tips and formulas are emphasized in learning. This research studied the relationship between game-based learning with the achievements of students in SMK Kompleks Gong Badak, specifically in Mathematics. Quantitative approach-based research and a single cross-sectional design were employed. A set of questionnaires were used for data collection. Data samples were collected from approximately 100 students in the selected school. …

Methodological Concerns In Developing Malaysian Adolescent's Profile On Mental Health, Hairulliza Mohamad Judi, Hazura Mohamed

Malaysian Journal of Computing (MJoC)

Adolescence is a crucial period for mental and social development, and the profile of Malaysian adolescents in terms of their mental health has significant implications for their education and social outcomes. Mental health issues such as anxiety, depression, and stress are prevalent among Malaysian adolescents; and these issues can negatively impact their academic performance and overall well-being. Poor mental health may influence social interactions and relationships, which can impact their ability to form healthy friendships and family relationships, communicate effectively, and function in society. The development of mental health profile of Malaysian adolescents is critical to their success in education …

A New Framework For Deploying Virtual Desktop Infrastructure Using Containerization Approach, Nukman Samsuddin, Mohamad Yusof Darus, Muhammad Azizi Mohd Ariffin

Malaysian Journal of Computing (MJoC)

The COVID-19 pandemic accelerated the shift to virtual learning, pushing educational institutions to adopt innovative solutions like Virtual Desktop Infrastructure (VDI). However, traditional VDI faces performance issues due to resource limitations. This research aims to enhance VDI performance and scalability by proposing a new framework based on containerization to address performance degradation issues such as unutilized CPU and memory usage in VDI. Four key performance metrics—CPU performance, memory performance, boot time, and latency—were evaluated. This research employed a qualitative method involving five phases: problem identification, planning, design and development, testing, and result analysis. The results show that the proposed containerization …

Drowsy Driver Detection System Via Facial Recognition And Driving Data, Nur Iman Kamila Azharudin, Hafizah Mansor, Shaila Sharmin

Malaysian Journal of Computing (MJoC)

According to the National Highway Traffic Safety Administration, an estimated 17.6% of all fatal crashes in the years 2017–2021 involved a drowsy driver. This study proposes a drowsy driver detection system that uses both facial recognition and vehicular data to detect if a driver is feeling sleepy behind the wheel. We aim to address a lack of works in the literature that combine data measured from the driver (image or biological data) and vehicular data for drowsy driver detection. Our primary data was collected from simulated driving sessions in which a camera was used to record test drivers’ faces while …