Digital Commons Network^™

Dissecting The Genetic Basis Of Relevant Fruit Quality Traits In Interspecific Grapevines (Vitis Spp.), Venkateswara Rao Kadium, Ramesh Pilli, Andrej Svyentek, Zhuoyu Wang, John Stenger, Rajasekharreddy Bhoomireddy, Collin Auwarter, Xuehui Li, Harlene Hatterman-Valenti

APC Fund Awardees

Understanding the genetic control of fruit composition traits in interspecific grapevines (Vitis spp.) is crucial when breeding new cultivars with desirable fruit chemistry. To address this, a genome-wide association study (GWAS) was conducted using 587 genotypes derived from three elite selections. This study spanned 3 years (2020–2022) and with phenotyping conducted at three different timepoints within each season for a total of nine phenotyping events focused on nine fruit traits. Several strong and stable quantitative trait locus (QTL) associations were identified on chromosomes 6, 16, and 17 across multiple phenotyping events for most sugar- and acid-related traits. Notably, putative sugar …

Feasibility Of A Large Language Model Chatbot To Support Parental Understanding In The Picu, R Brandon Hunter, Satid Thammasitboon, Sreya Rahman, Sriya Kakarla, Pamela Petersen, Shelley Kumar, Thomas Rappold, Sanjiv Mehta

Faculty, Staff and Students Publications

Objectives: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design of a randomized controlled trial (RCT).

Design: Prospective single-arm feasibility study conducted from August 2024 to December 2024.

Setting: Quaternary PICU.

Subjects: Fourteen parents of children admitted to the PICU.

Interventions: Parents engaged in 10-minute sessions with a HIPAA-compliant GPT-4o- (Generative Pretrained Transformer 4o, OpenAI, San Francisco, CA) based chatbot prompted with patient-specific electronic health record (EHR) data.

Measurements and main results: Feasibility was assessed through four criteria: parental engagement and satisfaction, provider perceptions, accuracy and safety, and …

Confessions In Cases Of Child Physical Abuse-A Capnet Study, Margaret R Russell, Antoinette L Laskey, Henry T Puls, Suzanne P Starling, Joanne N Wood, Daniel M Lindberg, Nancy S Harper, Caitlin R Mcnamara, Angela N Bachim, Farah W Brink, Lori D Frasier, James D Anderst, Porcia Vaughn, Kristine A Campbell

Faculty, Staff and Students Publications

Objective: Prior research on confessions of physical abuse (PA) has explored mechanisms of injury. Little is known about conditions supporting a confession of abuse or how confessions may influence case outcomes.

Methods: This cross-sectional study of suspected PA in children aged < 10 years at 10 centers participating in CAPNET, a multicenter child PA research network, included children with in-person Child Abuse Pediatrics (CAP) consultations between February 2021 and December 2022 and excluded children without injury. Our focus was a confession of inflicted injury known to the CAP during clinical involvement. We compared child and clinical characteristics, out-of-home (OOH) placements, and arrests between cases with and without confessions. Multivariable models using generalized estimating equations (GEE) produced adjusted predicted probabilities (APP) clustering by CAPNET site.

Results: Confessions were known to CAPs in 115/4297 (2.7%) cases, with significant site variability. In a multivariable GEE model, confessions were more likely in cases with injuries with high specificity for abuse (APP 6.0% vs 1.6%, P < .001), near-fatality (APP 5.6% vs 2.3%, P < .001), and older children (APP 4.8% vs 2.5%, P = .025). OOH placements and arrests were more common in cases with confessions. CAP awareness of confessions, OOH placements, and arrests did not follow racial or ethnic patterns seen in the US child welfare system. Lower socioeconomic status was associated with OOH placements and arrests but not with CAP awareness of confessions.

Conclusions: Our findings highlight differences in case characteristics and outcomes where a confession is known to the CAP and raise questions about …

Fronto-Cerebellar Features Associate With Cognitive Dysfunction In Childhood-Onset Systemic Lupus Erythematosus, Hanne Van Der Heijden, Gabrielle Alonzi, Amanda Cao, Raquel Van Gool, Merve Koç Yekedüz, Lise Vrolix, Itamar Ronen, Vanessa Rameh, Kyle Mcbrearty, Aditi Deokar, Robert P Sundel, Eyal Muscal, Joseph Gonzalez-Heydrich, Andrea Knight, Joyce C Chang, Jaymin Upadhyay

Faculty, Staff and Students Publications

Objective: Cognitive dysfunction (CD) is a prevalent symptom in childhood-onset systemic lupus erythematosus (cSLE). This study aimed to investigate the neurobehavioral basis of CD in cSLE.

Methods: Patients with cSLE (N=20) and age- and sex-matched healthy controls (HCs, N=20) completed questionnaires and multiple neurocognitive tests. The Systemic Lupus Erythematosus Disease Activity Index 2000 and laboratory markers were used to monitor patients' clinical status. Neuroimaging assessments included functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and structural MRI.

Results: cSLE patients demonstrated moderate disease activity with high inflammation and immune dysregulation, alongside low medication adherence. Relative to HCs, cSLE patients …

Kidney Disease And Heart Failure: Recent Advances And Current Challenges: Conclusions From A Kidney Disease: Improving Global Outcomes (Kdigo) Controversies Conference, Carolyn S P Lam, Biykem Bozkurt, David Z I Cherney, Justin A Ezekowitz, Meg J Jardine, Sadiya S Khan, Magdalena Madero, Mark J Sarnak, Jozine M Ter Maaten, Michael Cheung, Jennifer M King, Morgan E Grams, Michel Jadoul, Nisha Bansal

Faculty, Staff and Students Publications

Heart failure (HF) and chronic kidney disease (CKD) frequently coexist, which elevates the risks of hospitalization, disease progression, and death. Despite advances in treating each condition independently, many challenges remain in diagnosing and managing them in combination. In March 2024, Kidney Disease: Improving Global Outcomes (KDIGO) held the Controversies Conference on Kidney Disease and Heart Failure: Recent Advances and Current Challenges. Discussions highlighted the complex, bidirectional relationship between HF and CKD, including shared risk factors and overlapping pathophysiology as well as nuances in interpreting biomarkers such as natriuretic peptides and serum creatinine. Sodium-glucose cotransporter-2 inhibitors, renin-angiotensin-aldosterone system inhibitors, and emerging …

A Comprehensive Review Of Tear Fluid Proteome Alterations In Dry Eye Disease: Insights Into Pathophysiology And Biomarker Potential, Saleh Ahmed, Steven Safille, Victoria Clifton, Shruti Sharma, Cintia S De Paiva, Ashok Sharma

Faculty, Staff and Students Publications

Tear fluid is a highly specialized and dynamic biofluid composed of proteins, lipids, mucins, and electrolytes that is essential for maintaining ocular surface integrity, immune defense, and tear film stability. Growing evidence from tear proteomic studieshas revealed extensive alterations in protein composition in dry eye disease (DED), reflecting a complex interplay between local ocular surface pathology and systemic inflammatory influences. This review summarizes proteomic findings from 50 published studies to identify tear proteins that are consistently upregulated or downregulated in DED and to interpret their biological relevance in the context of ocular surface homeostasis. Across studies, proteins upregulated in DED …

Comprehensive Profiling Of The Human Tear Fluid Mirnome Using Small Rna Sequencing, Garrett Jones, Drew Mayernik, Saleh Ahmed, Eliza Williams, Jeremy Altman, Tae Jin Lee, Amy Estes, Cintia S De Paiva, Pamela Martin, Shruti Sharma, Ashok Sharma

Faculty, Staff and Students Publications

Purpose: To generate a comprehensive profile of microRNAs (miRNAs) present in human tear fluid using next-generation sequencing (NGS), establish a reference miRNome for healthy human tear fluid, and investigate whether miRNA expression varies by sex, race, or age.

Methods: Tear samples were collected from 32 adults using Schirmer strips. RNA was isolated using the miRNeasy Serum/Plasma Kit, and cDNA libraries were prepared using the QIAseq miRNA Library Kit. Barcoded libraries were sequenced on the NovaSeq 6000 platform. Bioinformatic analyses included adapter trimming, alignment to miRBase, normalization with DESeq2, and functional annotation using multiMiR and clusterProfiler. Differential expression analysis was performed …

Advanced Artificial Intelligence Vs Simpler Models For 1-Year Death Prediction Among Patients Receiving Hemodialysis, Karthikeyan K, Jennifer E Flythe, Patrick H Pun, Wolfgang C Winkelmayer, David Carlson

Faculty, Staff and Students Publications

Objectives: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure.

Materials and methods: We compared logistic regression, boosting, and transformers using increasingly complex feature sets (from last-visit data to full trajectories). Performance was measured using the area under the ROC curve (AUC-ROC) and the Precision-Recall curve (AUC-PR) across training data sizes ranging from 500 to 490 197 samples.

Results: Using features with temporal information is beneficial across all models. On the full dataset, Transformers (AUC-ROC = 0.8568) and boosting (AUC-ROC = 0.8598) perform …

Driveline Infections Among Patients Supported With Left Ventricular Assist Devices: A Single Center Sixteen-Year Longitudinal Profile, Anh Nguyen, Alexis Shafii, Gabriel Loor, Andrew Civitello, O Howard Frazier, Todd Rosengart, Kenneth Liao

Faculty, Staff and Students Publications

Background: Left ventricular assist device (LVAD) driveline infections significantly impact patient outcomes. This study aimed to identify their risk factors.

Methods: We analyzed LVAD data from our institutional Intermacs database (January 1, 2008-December 31, 2023), combining primary implants and pump exchanges. Patient characteristics were summarized as frequencies for categorical variables and median (IQR) for continuous variables. The nature of repeated infection events was handled by the Andersen-Gill method within a multivariable Cox proportional hazards model for cause-specific hazard of driveline infections, accounting for death and heart transplant as competing risks.

Results: Our cohort included 1026 LVAD implants. Median patient age …

Novel Variants Identified In Families With Snx27 -Related Neurodevelopmental Disorder, Aiding In Characterizing Its Genotypic And Phenotypic Spectrum, Tayyaba Shan, Abrar Hussain, Anushree Acharya, Mulazim Hussain, Yumei Li, Hafiz Muhammad Jafar Hussain, Kiran Afshan, Suzanne M Leal, Rui Chen, Asif Mir, Isabelle Schrauwen, Sabika Firasat

Faculty, Staff and Students Publications

Background:

Sorting Nexin 27 (SNX27), a key regulator of synaptic receptor trafficking and endosomal recycling, has been implicated in maintaining synaptic homeostasis and cognitive function. To date, variants in SNX27 have been reported in a small number of patients across three publications with severe neurodevelopmental phenotypes. However, the genetic and functional landscape of SNX27-related disorders remains poorly understood, and further evidence is needed to confirm its association with disease and to better delineate the associated phenotype.

Methods and Results:

Two unrelated Pakistani families with a total of five affected individuals segregating a neurodevelopmental disorder were investigated via exome …

Black Equality In Ocd Neurogenomics (Belong): Study Protocol, Iasha J Williams, Dalia Y Marquez, Kara E Lopez-Lengowski, Malini Bommiasamy, Ogechi Cynthia Onyeka, Slayton J Underwood, Juliana E Avery, Jacob Gluckman, Thariana Pichardo, Rhea Chandler, Yulu Brown, Katie Mangen, Emma Grace Choplin, Black Equality In Ocd Neurogenomics (Belong) Study Team, Sonyia C Richardson, Joseph D Buxbaum, Eric A Storch, James J Crowley, Sidney H Hankerson, Dorothy E Grice

Faculty, Staff and Students Publications

Obsessive-compulsive disorder (OCD) is a chronic, serious psychiatric disorder that affects 2%-3% of the population and is associated with high personal and societal costs. Genetic factors are estimated to explain roughly half the risk of developing OCD, and genomic studies are just beginning to identify common and rare genetic variants mediating this risk. A major goal of genomic studies is to yield insights into the etiology of OCD and identify molecular targets for the development of novel therapeutics. However, the overwhelming majority of subjects in existing genetic studies are of European ancestry, limiting the generalizability of these findings. To address …

Tfeb Degradation Is Regulated By An Ikk/Β-Trcp2 Phosphorylation-Ubiquitination Cascade, Yan Xiong, Jaiprakash Sharma, Meggie N Young, Wen Xiong, Ali Jazayeri, Karl F Poncha, Ma Xenia G Ilagan, Qing Wang, Bei Gao, Hui Zheng, Nicolas L Young, Marco Sardiello

Center on Aging Staff Publications

Transcription factor EB (TFEB) is a master regulator of lysosomal biogenesis and cellular clearance pathways. TFEB activity is tightly controlled by multiple post-translational mechanisms, but the exact molecular mechanism controlling its stability has remained elusive. Here, we identify the IκB kinase (IKK) complex as a key regulator of TFEB protein stability through a phosphorylation-ubiquitination cascade. A high-content kinase inhibitor screen reveals that IKK inhibition increases TFEB protein levels, and genetic ablation of IKK components increases TFEB stability, upregulates lysosomal genes, and enhances lysosomal biogenesis and degradative capacity. Mechanistically, we show that IKK phosphorylates TFEB on a cluster of serine residues …

Diagnostic Criteria And Management Of Melas And Stroke-Like Episodes: Consensus-Based Statements, Michelangelo Mancuso, Marcello Bellusci, Valerio Carelli, Irenaeus De Coo, Daria Diodato, Felix Distelmaier, Omar Hikmat, Michio Hirano, Rita Horvath, Amel Karaa, Thomas Klopstock, Mary Kay Koenig, Cornelia Kornblum, Chiara La Morgia, Piervito Lopriore, Mika Henrik Martikainen, Robert Mcfarland, Olimpia Musumeci, Robert D S Pitceathly, Guido Primiano, Shamima Rahman, Fernando Scaglia, Andrew Schaefer, Manuel Schiff, Luisa Semmler, Costanza Lamperti, Serenella Servidei

Faculty, Staff and Student Publications

Background and purpose: Mitochondrial Encephalomyopathy, Lactic acidosis and Stroke-like episodes (MELAS) is a rare multisystem mitochondrial disorder with clinical heterogeneity. Diagnostic criteria and management strategies for MELAS and mitochondrial stroke-like episodes (SLE) remain inconsistent. This work provides international consensus recommendations on the definition, diagnosis, and management of MELAS and SLE in pediatric and adult populations.

Methods: An international Delphi consensus process was conducted within the European Reference Network for Neuromuscular Diseases (ERN EURO-NMD), in collaboration with the US Mitochondrial Medicine Society, the ERN for Hereditary Metabolic Disorders (MetabERN), and patient representatives. Following a systematic literature review, 54 statements addressing diagnostic …

Yield Of Injury Testing For Contacts Of Children Evaluated For Physical Abuse, Lígia Batista, Joanne N Wood, Tagrid M Ruiz-Maldonado, M Katherine Henry, Jan Leonard, Angela Bachim, James D Anderst, Farah W Brink, Hannah B Sahud, Lori D Frasier, Nancy S Harper, Natalie Laub, Colleen J Bressler, Daniel M Lindberg

Faculty, Staff and Students Publications

Background: Siblings and household contacts of physically abused children are at increased risk for physical abuse and may have injuries that are not clinically apparent. However, injury testing recommendations for contact children remain debated.

Objective: Our objective was to describe testing practices and yield for contacts of physically abused children.

Participants and settings: This is a cross-sectional study of children < 10 years old evaluated for physical abuse at 10 US pediatric referral centers in the CAPNET research network.

Methods: We report the proportion of contact children who had a skeletal survey (SS) or neuroimaging and describe the proportion of tests that identified injuries.

Results: Among 6256 index evaluations, 4863 contacts were identified. Among 794 contacts with physical examinations, …

Investigating Conjunctival Immune Pathways In Sjögren And Non-Sjögren Disease Associated Dry Eye, Kaitlin K Scholand, Laura Schaefer, Jianming Shao, Zhiyuan Yu, Stephen C Pflugfelder, Robert A Britton, Cintia S De Paiva

Faculty, Staff and Students Publications

Purpose: Dry eye disease (DED) is classified based on its predominant etiology into aqueous tear-deficient (ATD), evaporative, or mixed. Sjӧgren disease keratoconjunctivitis sicca (SjD-KCS) is a very severe autoimmune form of ATD DED. The purpose of this work was to compare transcriptomic changes in the conjunctiva sampled from patients with ATD, SjD-KCS, and healthy controls (HC) to evaluate distinctions in the immune response on the ocular surface based on diagnosis.

Methods: Impression cytology of the temporal bulbar conjunctiva was collected using the EyePrim device. RNA was extracted and submitted with the Nanostring nCounter Human Immunology V2 panel for gene expression …

Prioritising Follow-Up For People With Suspected Epilepsy Using A Digital Eeg Biomarker, Rohit Shankar, John Terry

Peninsula Medical School

Lengthy waits for follow-up testing are common for people with suspected epilepsy. This delays diagnosis, prolongs uncertainty and increases seizure risk. Initial EEGs are frequently inconclusive, yet follow-ups are often dictated by referral date, and there is no established method for risk-based prioritisation. Here, we tested whether an established digital EEG biomarker could help prioritise those most likely to have epilepsy for expedited follow-up EEG testing. We analysed 196 normal non-contributory (non-diagnostic) initial EEGs collected from six National Health Service (NHS) sites in England. From these recordings, we extracted eight previously validated computational features that quantify the likelihood that the …

Evaluating The Patient Journey Through Integrated Mental Health Services Using Routinely Collected Data: Utility Of The Dialog Patient-Reported Outcome And Experience Measure, Stuart G. Spicer, Rahul Bhattacharya, Katelyn Smalley, Akshith Shetty, Paul Sharpe, Richard Byng

Peninsula Medical School

Aims and method DIALOG is a patient-reported outcome and experience measure. We analysed anonymised DIALOG scores routinely collected from East London NHS Foundation Trust. We aimed to (a) examine changes in DIALOG scores through the patient journey (‘assessment’, ‘review’ and ‘discharge’); and (b) assess the impact of community mental health (CMH) transformation by comparing pre- and post-DIALOG scores. We analysed 11 198 DIALOG scores from 5007 patients in 2018–2019 and 2021–2022. Results DIALOG scores improved across treatment stages in both years. There was no clear difference pre- and post-CMH transformation, although in 2021–2022 there were lower satisfaction scores at referral. …

Price Endings Of Online And Offline Retailers: Round And Just-Below Pricing, Kwanho Suk, Gaeun Kim, Dongwon Lee, Xuanting Jin

Asia Marketing Journal

This study investigates and compares price-ending strategies employed by online and offline retailers. Analyzing 210,456 prices from retailers in US, South Korea, and China reveals significant differences in price-ending between online and offline retail formats. Online retailers exhibit a lower propensity to utilize round prices (e.g., ending in 0) and just-below prices (e.g., ending in 9) than offline retailers. This research discusses potential explanations for these observed discrepancies, focusing on the distinct price-setting environments and consumer purchasing behaviors of online and offline retail.

Exploring The Relationship Between Esg Activities And Firm Performance: The Carrot And Stick Approach, Jeongbin Whang, Jong-Ho Lee, Jaeho Lee

Asia Marketing Journal

This study uses stakeholder theory to investigate the impact of firms' ESG activities on performance, paying particular attention to the moderating roles of executive ESG compensation (the ``carrot'') and external ESG audits (the ``stick''). Utilizing Thomson Reuters ESG data from 1,523 US firms over six years (2017–2022) and applying fixed-effects models, the analysis reveals that environmental and social activities are positively associated with firm performance. In contrast, governance activities are negatively related to financial performance but positively related to non-financial outcomes. Furthermore, executive ESG compensation and external audits positively moderate the relationship between ESG activities and firm performance. Executive compensation …

Internal Public Relations Influence On Organizational Citizenship Behaviors: Integrating Social Identity Perspectives In Organizational Contexts, Daewook Kim

Asia Marketing Journal

This study examined how internal public relations encourages employees to participate in organizational citizenship behaviors. Using a national survey of employees (N = 339), we tested a conceptual model that proposed linkages among dialogic internal communication, organizational social capital, communal relationships, and organizational citizenship behaviors. The results suggest dialogic internal communication can enhance organizational social capital and encourage internal publics to participate in organizational citizenship behaviors. Additionally, organizational social capital mediated the effects of dialogic internal communication on communal relationships and organizational citizenship behaviors. The findings highlight a critical connection between public relations and social identity perspectives within organizational …

Temporal Dynamics Of Online Shopping: A Multidimensional Clustering Approach For Optimizing Time-Specific Advertising Strategies, Hye Ra Oh, Yunjae Cheong

Asia Marketing Journal

This study clusters consumers according to their hourly online shopping consumption patterns and develops optimized advertising strategies that can be practically applied by companies. Specifically, we considered multidimensional variables related to consumers, including demographic characteristics, shopping frequency, information search and content consumption characteristics, and lifestyle traits. We explored consumer types by comparing various clustering algorithms and applying the optimal clustering method for each time period. The analysis results show significant differences in payment amounts according to payment time periods. Regarding consumer types, consumption tendencies are distinctly differentiated by payment time periods, with each cluster showing different characteristics. This study is …

Does Ai-Driven Empathy Work In Healthcare Marketing? The Impact Of Cognitive And Affective Empathy In Chatbots And The Moderating Role Of Illness Type, Jee Won Kim, Yeonsoo Kim, Jino Chung

Asia Marketing Journal

Recognizing the growing potential of AI-generated chatbots in healthcare and healthcare marketing, this study investigates how different types of chatbot-expressed empathy influence user responses in stigmatized versus non-stigmatized health contexts. Perceived authenticity is introduced as a key mediator. Drawing on Mind Perception Theory, a 3 (empathy: none, cognitive, affective) × 2 (illness type: stigmatized, non-stigmatized) online experiment was conducted. The findings show that affective empathy reduced perceived authenticity, which subsequently decreased user satisfaction, perceived understanding, reuse intention, and follow intention. These indirect effects varied by illness type: in stigmatized contexts, non-empathetic communication was viewed most favorably, whereas in non-stigmatized contexts, …

Unpacking Virtual Influencer Persuasiveness: Effects Of Social Attributes, Self-Congruence, And Attachment On Brand Attitude And Purchase Intention, You Jin Song, Sejung Marina Choi

Asia Marketing Journal

As virtual influencers (VIs) increasingly function as prominent intermediaries in brand–consumer interactions, there is a critical need for systematic investigation into their impact on consumer behavior. This study empirically explores how specific attributes of VIs—competence, warmth, and eeriness—shape consumer perceptions, attachment, and brand engagement. Results indicate that competence and warmth significantly enhance VI attractiveness, whereas eeriness diminishes attractiveness and weakens consumer responses. Furthermore, attractiveness emerges as a primary determinant of consumer attachment to VIs, with actual self-congruence acting as a moderator that reduces this attachment. Notably, stronger consumer attachment fosters more positive brand attitudes, which subsequently elevate purchase intention. These …

Are You Ready To Embrace Ai-Generated Art? Exploring The Differential Effects Of Ai Versus Human Agents On Consumer Response, Seojin Stacey Lee, Yaeri Kim, Kiwan Park

Asia Marketing Journal

With a growing integration of artificial intelligence (AI) into creative domains, understanding its impact on consumer responses remains a critical area of inquiry. This research examines how agent type (AI vs. human) and art type (fine art vs. art-infused product) influences consumer purchase intention, along with the underlying psychological mechanism. Across three empirical studies, we find that consumers report higher purchase intention for art-infused products compared to fine art when created by AI. In contrast, this difference in purchase intention is diminished when the products are created by human artists. Perceived incompatibility functions as a moderated mediator in this process. …

Lessons Learned From Global Responses To Criminal Abortion Laws, Cynthia Soohoo

Fordham Law Review Online

No abstract provided.

Abortion, Power And The Future Of Healthcare, Elizabeth Kukura

Fordham Law Review Online

No abstract provided.

Deferred Action Theory As A Framework For Adaptive Educational Procurement: Navigating Uncertainty And Digital Transformation In Education Systems, Herdiana Herdiana, B. Yuliarto Nugroho, Andreo Wahyudi Atmoko

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Public procurement constitutes a significant portion of national expenditure and directly affects economic growth, service delivery, and governance quality. In Indonesia, education sector procurement absorbs more than half of the allocated budget but remains vulnerable to inefficiencies, rigid procedures, and corruption risks. This study aims to conceptualize an adaptive framework for Public Procurement Business Process Management (PP-BPM) that addresses environmental uncertainty, digital transformation, and governance challenges. This conceptual study integrates Deferred Action Theory (DAT), Emergent Business Processes (EBP), and Business Process Management (BPM) to develop a multi-level framework for procurement. The analysis covers strategic, managerial, and operational dimensions, emphasizing deferment …

Condition Monitoring Of Induction Motor Using Motor Current Signature Analysis, Francis Ikechukwu Obianke, Joseph Okhaifoh, Benjamin Akinloye

Al-Bahir

Induction machines serve as the cornerstone and driving force of modern manufacturing and production systems. This research aims to monitor and analyse the operating performance of induction motors using motor current signature analysis (MCSA). MCSA is employed to process the current signal of a motor into a frequency spectrum, known as the current signature by applying the Fast Fourier Transform (FFT) algorithm. The underlying principle is that vibration generated in a motor is closely related to the changes of the magnetic field density, and the induced voltage varies with the stator current.

A simulation model replicating the behaviour of an …

Reimagining Instructional Planning: Balancing Real-Life Experiences With Ai Instantaneity, Shaanii-Grace Robinson-Ritzdorf

Essays in Education

Instructional planning challenges teachers to balance creativity, time, and application of real-life experiences. Artificial intelligence (AI) offers rapid lesson ideas, personalized resources, and adaptive tools, yet uncritical use risks generic, disengaging instruction. This essay was based on the background study that examined elementary teachers’ integration of real-life experiences in science and math lessons in northwestern New Mexico through lesson plans, professional development materials, and interviews. Results revealed teacher-centered, procedural approaches with limited connection to students’ lived experiences, while personally designed lessons allowed greater flexibility for meaningful examples. Thoughtfully guided AI can bridge this gap, supporting scenario-based learning, differentiation, and student …

Choose Your Story: An Interactive Guide To Management Methods For Technical Gis Staff, Nathan Langdon, Phillip Leveille

GIS/ValuationTechnologies Conference 2026

This presentation will be a fun, highly interactive discussion that will aim to equip any leader with a comprehensive framework for managing technical staff effectively in today’s office landscape. As the audience, you will help guide the room and presentation through a series of decisions that will demonstrate the importance of a well-trained, productive team who are held accountable through meaningful performance metrics and data quality standards. During our journey we explore managing a remote workforce and the impact of technology like AI and machine learning.