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When “No Referral” Does Not Mean “No Need”: Rethinking Mtss, Benchmark Data, And Early Literacy Support, Tevia Q. Strand Sep 2026

When “No Referral” Does Not Mean “No Need”: Rethinking Mtss, Benchmark Data, And Early Literacy Support, Tevia Q. Strand

Essays in Education

This article examines what one school’s literacy data suggest about MTSS referral practices, benchmark interpretation, and early literacy support. Drawing on a local analysis of current third-grade students, the article reflects on a significant difference in Grade 3 reading outcomes between students who were referred to MTSS and those who were not referred for Tier 2 or Tier 3 support. At the same time, both groups demonstrated average reading performance below the Grade 3 40th-percentile benchmark, suggesting that literacy concerns extended beyond the students formally identified for intervention. Rather than presenting the study as a traditional research report, this essay …


Response To Reviewers — Emancipations Symposium On Profit And Power, Ronen Palan Sep 2026

Response To Reviewers — Emancipations Symposium On Profit And Power, Ronen Palan

Emancipations: A Journal of Critical Social Analysis

No abstract provided.


“Don’T Tell Me To Keep Doing What I’M Doing, When I’M Risking My Life Trying To Get You To Do Your Job”: Thoughts On The Politics Of Distance, Anonymous Author Sep 2026

“Don’T Tell Me To Keep Doing What I’M Doing, When I’M Risking My Life Trying To Get You To Do Your Job”: Thoughts On The Politics Of Distance, Anonymous Author

Emancipations: A Journal of Critical Social Analysis

No abstract provided.


Eviscerating The State: An Update, Jean L. Cohen Sep 2026

Eviscerating The State: An Update, Jean L. Cohen

Emancipations: A Journal of Critical Social Analysis

A year after the publication of her article “Eviscerating the State: The New Oligarchic and Authoritarian Project to Undermine American Constitutional Democracy (Emancipations, Vol.4: Iss.2, July 2025) Jean Cohen looks again at the threats to American constitutional democracy posed by new oligarchic and authoritarian actors in the economy, the state, and society.


Uneven And Combined Fascism: A Postapocalyptic Perspective, Daniel Loick Sep 2026

Uneven And Combined Fascism: A Postapocalyptic Perspective, Daniel Loick

Emancipations: A Journal of Critical Social Analysis

This essay develops the concept of “uneven and combined fascism” as an alternative to dominant liberal approaches that understand fascism primarily as a future rupture or return of the European past. Analogizing the crisis of democracy with environmental crisis, it argues that fascism, like ecological catastrophe, should be understood as an ongoing and differentially distributed condition: already present for some while remaining latent or emergent for others. The essay develops this claim by consulting approaches of "postapocalyptic environmentalism" as well as thinkers and activists from the Black Radical Tradition, particularly the analyses of Aimé Césaire and the Civil Rights Congress’s …


Premolar Extraction, Upper Airway Changes, And Obstructive Sleep Apnea Risk: A Narrative Review, I-Ta Lee Sep 2026

Premolar Extraction, Upper Airway Changes, And Obstructive Sleep Apnea Risk: A Narrative Review, I-Ta Lee

Articles in Press

No abstract provided.


Dose-Dependent Effects Of Exosomes On The Viability And Differentiation Of Human Dental Pulp Stem Cells, Tsui-Hsien Huang Sep 2026

Dose-Dependent Effects Of Exosomes On The Viability And Differentiation Of Human Dental Pulp Stem Cells, Tsui-Hsien Huang

Articles in Press

No abstract provided.


Schwannoma Of The Lower Lip Clinically Mimicking An Irritation Fibroma, Qian-Ming Chen Sep 2026

Schwannoma Of The Lower Lip Clinically Mimicking An Irritation Fibroma, Qian-Ming Chen

Articles in Press

No abstract provided.


Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra Sep 2026

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …


Understanding The Lived Experiences Of Individuals With Post-Acute Sequelae Of Sars-Cov-2 Infection (Pasc) In Rwanda: A Phenomenological Qualitative Study, Iliza Grace Ndatinya, Simal Thind, Fernand Rwamwejo Sep 2026

Understanding The Lived Experiences Of Individuals With Post-Acute Sequelae Of Sars-Cov-2 Infection (Pasc) In Rwanda: A Phenomenological Qualitative Study, Iliza Grace Ndatinya, Simal Thind, Fernand Rwamwejo

Global Health Articles

OBJECTIVES: To qualitatively explore the lived experiences of individuals with post-acute sequelae of SARS-CoV-2 infection (PASC) in Rwanda, with the aim of informing context-appropriate interventions to improve patients' quality of life.

DESIGN: Qualitative, phenomenological study using in-depth interviews and thematic analysis.

SETTING: All provinces of Rwanda, including the City of Kigali.

PARTICIPANTS: Adults who tested positive for PASC during a nationwide prevalence study were purposively sampled across all study sites. A total of 30 people were interviewed before saturation was reached.

RESULTS: Participants' lived experiences with PASC were characterised by numerous themes. Despite describing significant life changes since their COVID-19 …


2026-2027 Philharmonia Season Program, Lynn University Conservatory Of Music, Lynn Philharmonia, Guillermo Figueroa, Kenneth Amis, Jon H. Robertson, Aidan Quintana Sep 2026

2026-2027 Philharmonia Season Program, Lynn University Conservatory Of Music, Lynn Philharmonia, Guillermo Figueroa, Kenneth Amis, Jon H. Robertson, Aidan Quintana

Philharmonia

Lynn University Wind Ensemble ("The Wind Symphony: Movement 4)

  • Saturday, Sept. 19, 2026 at 7:30 p.m.
  • Kenneth Amis, conductor

Lynn Philharmonia No. 1 ("Mystery and Revelation")

  • Saturday, Oct. 3, 2026 at 7:30 p.m. and Saturday, Oct. 3, 2026 at 7:30 p.m.
  • Guillermo Figueroa, conductor
  • Kenneth Amis, tuba

Lynn Philharmonia No. 2 ("Halloween Spectacular!")

  • Saturday, Oct. 3, 2026 at 7:30 p.m. and Sunday, Nov. 1, 2026 at 3 p.m.
  • Guillermo Figueroa, conductor

Lynn Philharmonia No. 3 - Concerto Competition Winners' Concert

  • Saturday, Nov. 14, 2026 at 7:30 p.m. and Sunday, Nov. 15, 2026 at 3 p.m.
  • Guillermo Figueroa, conductor

Lynn Philharmonia …


Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong Sep 2026

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …


Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod Sep 2026

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …


Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek Sep 2026

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …


Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya Sep 2026

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …


Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar Sep 2026

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …


Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya Sep 2026

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …


Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin Sep 2026

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …


Impact Of Physical Disabilities On Daily Life, Mobility, And Public Health Outcomes Among Internally Displaced Children In Nigeria, Winnifred Obeya-Ekoja Sep 2026

Impact Of Physical Disabilities On Daily Life, Mobility, And Public Health Outcomes Among Internally Displaced Children In Nigeria, Winnifred Obeya-Ekoja

Walden Dissertations and Doctoral Studies

The growing population of internally displaced persons (IDPs) in Nigeria presents significant public health challenges for children with physical disabilities. This study investigated how physical disabilities affect daily life, mobility, access to resources, and health outcomes among internally displaced children in IDP camps in Benue State, Nigeria. Guided by the ecological model of health behavior, the study examined caregivers’ experiences of children’s self-care, daily activities, environmental and interpersonal conditions, sanitation, and access to healthcare. A basic qualitative design used semi-structured interviews with parents and caregivers selected through purposive and snowball sampling. Data were analyzed using Braun and Clarke’s six-phase thematic …


Feasibility And Acceptability Of Perioperative Application Of Biofeedback-Based Virtual Reality Vs Control For Pain And Anxiety In Children And Adolescents Undergoing Surgery: Pilot Randomized Controlled Trial, Anna Lin, Brenna Rachwal, Lindsey Asti, Zandantsetseg Orgil, Isabela Santiago, Lili Ding, Susmita Kashikar-Zuck, Christopher King, Sara Williams, William Black, Peter Minneci, Vanessa Olbrecht Sep 2026

Feasibility And Acceptability Of Perioperative Application Of Biofeedback-Based Virtual Reality Vs Control For Pain And Anxiety In Children And Adolescents Undergoing Surgery: Pilot Randomized Controlled Trial, Anna Lin, Brenna Rachwal, Lindsey Asti, Zandantsetseg Orgil, Isabela Santiago, Lili Ding, Susmita Kashikar-Zuck, Christopher King, Sara Williams, William Black, Peter Minneci, Vanessa Olbrecht

Department of Anesthesiology Faculty Papers

BACKGROUND: The impact of biofeedback-based virtual reality (VR-BF) on pain and anxiety in pediatric surgical patients remains unexplored.

OBJECTIVE: The objective of this study was to evaluate the feasibility and acceptability of perioperative VR-BF use in children and adolescents.

METHODS: We performed a single-blind, 2-arm, randomized pilot trial. Children aged 12 to 18 years undergoing surgery with expected moderate-to-severe postoperative pain and more than 1 overnight admission were randomized (1:1) to the intervention or control group. Participants in the intervention group received VR-BF using ForeVR (functional outcome response to engaging virtual reality [VR]), a novel, gamified digital intervention that integrates …


Exploring Factors That Influence Child Marriage In Mozambique: A Collaborative Research Project, Karla Adu, Brenita Nicholas-Edwards, Jaime Paulo Mathe Sep 2026

Exploring Factors That Influence Child Marriage In Mozambique: A Collaborative Research Project, Karla Adu, Brenita Nicholas-Edwards, Jaime Paulo Mathe

International Nursing Research Congress (INRC)

Child marriage affects nearly 1 in 5 young women globally.1 UN Sustainable Development Goal 5 specifically set a target of eliminating child marriage by 2030.1 While the prevalence of child marriage is decreasing worldwide, sub-Saharan Africa is experiencing rising levels.2 Mozambique has the 8th highest rate of child marriage in the world, with 48% of girls married before the age of 18 and 13% married before the age of 15.3

Child marriage is a complex issue, rooted in poverty and cultural norms. Factors linked to child marriage include limited access to education, job opportunities, and reproductive …


Ecological Determinants Of Youth Marijuana Use: A Longitudinal Mediation Model, Ricardo Zamarripa Ortega, Christopher Browning, Jodi L. Ford Sep 2026

Ecological Determinants Of Youth Marijuana Use: A Longitudinal Mediation Model, Ricardo Zamarripa Ortega, Christopher Browning, Jodi L. Ford

International Nursing Research Congress (INRC)

Purpose: This study explores how activity space collective efficacy strengthens families to buffer against depressive symptoms, which may lead to substance use. By identifying these pathways, we aim to improve prevention strategies.

Methods: Data from the Adolescent Health Development in Context study (n = 1,538) were used for mediation models with 10,000 bootstrap draws. The main predictor was activity space collective efficacy. Mediators were family support and depressive symptoms. The outcome was marijuana use. Models controlled for age, sex, race, caregiver education, and baseline marijuana use.

Results: Collective efficacy predicted increased family support (cross-sectional β = 0.134, 95% CI [0.065, …


Spartan Daily, September 16, 2026, San Jose State University, School Of Journalism And Mass Communications Sep 2026

Spartan Daily, September 16, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 11


Successful Treatment Of Recurrent Epithelioid Trophoblastic Tumor (Ett) With Pembrolizumab After Pembrolizumab: A Case Report And Review Of Literature In Treatment Of Ett, Sarah Mokma, Sarah Alnaif, Nicholas Cardillo Sep 2026

Successful Treatment Of Recurrent Epithelioid Trophoblastic Tumor (Ett) With Pembrolizumab After Pembrolizumab: A Case Report And Review Of Literature In Treatment Of Ett, Sarah Mokma, Sarah Alnaif, Nicholas Cardillo

Abington Jefferson Health Papers

BACKGROUND: Epithelioid Trophoblastic Tumors (ETT) are rare, which makes an optimal treatment regimen difficult to determine. Since PD-L1 is expressed in placental tissue and in gestational trophoblastic neoplasia (GTN), immunotherapies such as pembrolizumab have been proposed as possible treatments.

CASE PRESENTATION: The case presented is a 50-year-old postmenopausal female who presented with postmenopausal bleeding and a large, fungating cervical mass. Cervical biopsies confirmed ETT. The patient underwent primary debulking surgery with radical abdominal hysterectomy, bilateral salpingo-oophorectomy, and sigmoid colon resection. The patient was diagnosed with a FIGO Stage IV ETT due to tumor extension to sigmoid colon with a high-risk …


Three-Dimensional Chromatin Architecture Is Rapidly Restored After Dna Replication, Tyler K. Fenstermaker, Svetlana Petruk, Alexander Mazo Sep 2026

Three-Dimensional Chromatin Architecture Is Rapidly Restored After Dna Replication, Tyler K. Fenstermaker, Svetlana Petruk, Alexander Mazo

Department of Biochemistry and Molecular Biology Faculty Papers

Studies of post-replicative chromatin exclusively focus on the kinetics of protein binding after DNA replication to understand maintenance of transcriptional programs. Here we investigated both chromatin-bound factors and the three-dimensional architecture of the post-replicative genome in human cells. We found that transcription factors and chromatin looping proteins rapidly associate with nascent DNA. We discovered that the architectural factors, CTCF and YY1, bind to their target sequences immediately following DNA replication, and that chromatin loops from 39 to 425 kb re-form within 10 min of DNA replication. This suggests that the 3D structure of chromatin is at most briefly disrupted by …


Follistatin Regulates Tooth Root Furcation Morphogenesis, Liu Yang, Ju-Kyung Jeong, Hwajung Choi, Tak-Heun Kim, Hyuk-Jae Edward Kwon, Sung-Won Cho, Martin Matthew Matzuk, Eui-Sic Cho Sep 2026

Follistatin Regulates Tooth Root Furcation Morphogenesis, Liu Yang, Ju-Kyung Jeong, Hwajung Choi, Tak-Heun Kim, Hyuk-Jae Edward Kwon, Sung-Won Cho, Martin Matthew Matzuk, Eui-Sic Cho

Faculty, Staff and Students Publications

Follistatin (Fst), an extracellular inhibitor of the TGF-β signaling pathway, plays a critical role in tooth development, particularly in crown morphogenesis and enamel patterning. While molar root number is conserved within species and between upper and lower jaws, the molecular mechanisms governing root patterning remain largely unknown. To investigate the role of Fst in root formation, we analyzed K14-Cre-mediated Fst knockout mice. During embryonic and early postnatal stages, Fst was dynamically expressed in the dental epithelium including the lingual epithelium, and primary and secondary enamel knots, as well as in the dental mesenchyme at the base of the dental papilla. …


Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari Sep 2026

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …


Futurities: Human Extinction, Space Visualization And The Other Side Of Sustainability, Ioannis Galanopoulos Papavasileiou, Ioannis Kontos, Shane Hulbert Sep 2026

Futurities: Human Extinction, Space Visualization And The Other Side Of Sustainability, Ioannis Galanopoulos Papavasileiou, Ioannis Kontos, Shane Hulbert

All Works

This paper explores how speculative practices engage with evolving ideas on human extinction, space cosmology, post-humanism, and sustainability through expanded photography. Focusing on two projects—Here There Are Lions by Ioannis Galanopoulos Papavasileiou and Alien Landscapes by Ioannis Kontos—it examines how these works reframe themes of planetary precarity, space migration, and ecological collapse. Using ‘verifictional’ methods, both series employ hybrid digital techniques and AI-generated imagery as visual provocations challenging anthropocentric views of survival and progress. Here There Are Lions envisions space as a site of human expatriation and cosmic hope, while Alien Landscapes depicts post-natural terrains shaped by AI and environmental …


The Persistent Fragmentation Of Gulf Foreign Aid: Bilateralism And The Limits Of Regional Humanitarian Coordination, Khalid Almezaini Sep 2026

The Persistent Fragmentation Of Gulf Foreign Aid: Bilateralism And The Limits Of Regional Humanitarian Coordination, Khalid Almezaini

All Works

This paper examines why Gulf foreign aid has remained predominantly bilateral and fragmented since its emergence in the 1960s, despite the establishment of regional institutions, recurring regional crises and repeated calls for greater coordination. Bilateralism has been a persistent and defining feature of Gulf aid, and no effective regional humanitarian coordination mechanism has emerged even as Gulf donors have expanded and professionalised their aid institutions. Although Gulf states have occasionally cooperated on specific initiatives, such cooperation has remained episodic, informal and non-institutionalised—a pattern consistent with the regionalisation of crisis response and the logic of liquid alliances, which all will be …


Digital Transformation Strategies In The Project Management Office: Navigating Organizational Change, Latoya Pierce Sep 2026

Digital Transformation Strategies In The Project Management Office: Navigating Organizational Change, Latoya Pierce

Walden Dissertations and Doctoral Studies

Employee disengagement during organizational change can reduce workforce commitment, increase resistance, and delay implementation. Some information technology (IT) project managers lack effective strategies to foster employee engagement during organizational change. Effective employee engagement is important to IT project managers because workforce commitment can influence the successful implementation of change. The purpose of this qualitative pragmatic inquiry project was to identify and explore effective strategies that IT project managers use to foster employee engagement during organizational change. Kotter’s eight-step change model grounded the research project. The participants were seven U.S. IT project managers with at least 3 years of project management …