Digital Commons Network^™

Climate Breakthrough's Impact And Learning System: A Case Study, Olivia Deich

The Foundation Review

Climate Breakthrough makes one-time, multi-million-dollar, multi-year, flexible grants to climate strategists. The portfolio is collectively aimed at achieving an outsized emissions reduction goal. There are no strategy pillars, and grantees are from across the globe. This model, paired with Climate Breakthrough’s guiding values, opens the door for impact and learning work focused on iteration and learning.

In practice, grantees identify a small set of key performance indicators themselves; they share emissions reduction estimates for their work that are important but not dominant; they have abundant impact and learning resources; and the funder gains a wealth of data from which to …

Feedback Loops In Practice: A Case Study On Evaluating A Climate Collaborative, Mansi Shah, Amy Sherwood, Abbie Turiansky, Drew Koleros, Axum Teferra

The Foundation Review

Philanthropic support to address the climate crisis has grown substantially, yet it remains unclear how effectively philanthropies are learning from their investments, from each other, and from other actors about what generates meaningful impact. Evaluations have come under scrutiny, as conventional approaches often struggle to account for complexity and provide the timely insights needed for adaptive management.

In this article, the authors present the learning journey of a complex, systems-focused climate philanthropy initiative that uses structured feedback loops as an evaluation design. They describe how these loops were implemented over a two-year evaluation; discuss the choice of complexity-aware methods; and …

Spend-Down To Scale Up: Limited-Life Giving In The Climate Crisis, Madeleine C. Mckinnon, Samuel Rogers, David Gunsberg, Emma Mcintosh

The Foundation Review

This article shares first-hand experiences of a charitable foundation operating under a spend-down model, illustrating how a fixed time horizon shapes philanthropic and programmatic behavior. The authors discuss three conditions that a spend-down horizon reliably forces: the imperative to fund quickly, collaboratively, and boldly on shared goals; the discipline to concentrate capital with strategic focus; and the emphasis on learning and collaboration as both a means to optimize for impact now and to sustain and scale impact over the long term.

Authors explore the influence of these conditions in a series of case studies working towards a clean energy transition …

A Word From The Writing Team (October 2026), Pam Walter, Mfa, Laura Deloretta, Phd

A Word From the Writing Team (Newsletter)

No abstract provided.

Leader-Follower Formation-Based Leader Velocities Estimation Via Adaptive-Τ Tustin Differentiator, Zeyad A. Karam, Mohammed Y. Hassan, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This work develops a leader–follower formation for differential-drive mobile robots with an explicit estimator for the leader's velocities. Firstly, a leader robot position-variance-adaptive, under-rate-limited differentiator provides forward speed and yaw-rate estimate for the leader velocities, using exponentially weighted increment variances that drive a convex one-sided mapping to provide adaptive time constants for this estimator. Secondly, the control stack couples three layers: first layer, a nonlinear body-frame kinematic law for leader tracking, with orientation corrections handled via a smooth bounded function sin(eθ)/eθ to eliminate singularities near zero error. Second layer, a formation-preserving follower controller based on …

Enhancing Gru With Long-Short Attention: A Case Study Of Saudi Stock Market Prediction, Hussein Samma, Qusay Shihab Hamad, Ali Salem Bin Sama, Adnan Bakather, Khaled Alhashash

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Predicting stock market movements accurately is a challenging task due to the inherent complexity and volatility of financial markets. In recent years, deep learning techniques, particularly the Gated Recurrent Unit (GRU), have shown promising results in financial time series prediction. However, capturing the most relevant information from large volumes of data remains a critical challenge for improving prediction accuracy. This work introduces an attention-enhanced GRU model for forecasting the Saudi stock market. The proposed model integrates attention mechanisms to dynamically prioritize different input patterns, enabling the network to focus on the most relevant information for prediction. Two types of attention …

Generative Artificial Intelligence-Driven Augmentation With Deep Feature Fusion Model For Rare Disease Detection And Classification, V. Kavitha

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Rare disease detection focuses on identifying rare health conditions that affect a tiny fraction of people. Detection is challenging because symptoms are often ambiguous and information is limited. In recent years, retinal diseases have become a serious problem worldwide. Progressing a computer-assisted diagnosis (CAD) method is highly beneficial and functional for ophthalmologists. Proper detection and treatment can save eye vision. Deep learning (DL) has advanced across various scientific fields and is leveraged for numerous healthcare tasks. This research presents a Generative Artificial Intelligence-Assisted Adaptive Feature Fusion Network for Rare Retinal Disease Detection (GAIAFF-RRDD) technique assists ophthalmologists by allowing early and …

Power-Efficient Target Tracking And Coverage In Under-Provisioned Wireless Visual Sensor Networks, Muna M. Jawad

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Due to their ability to detect the physical environment, directional sensors have attracted a lot of attention in wireless visual sensor networks (WVSN). These sensors perform two key functions: communication and sensing. A WVSN comprises numerous configurable limited fields of view sensors, comprising distinct angular sectors, arranged with multiple targets randomly scattered in the same surrounding region. Therefore, there is a critical need to improve the network's lifetime and reduce power demand while providing complete target coverage. This paper looks at under-resourced visual networks with an inadequate number of sensors to match applications' needs and develops a viable model to …

Fractal Circularly Polarized Leaky-Wave Antenna For X-Band Cubesat Communication, Ghufran Kh. Mahmood, Ahmed M A Sabaawi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study presents the design and optimization of a circularly polarized fractal leaky-wave antenna (LWA) designed for X-band CubeSat communication systems. The proposed antenna is based on a via-less substrate-integrated waveguide (SIW) structure. It utilizes composite right-/left-handed (CRLH) transmission-line principles to achieve a high-impedance boundary and enhanced radiation performance. The work focuses on optimizing the antenna structure for operation at 8 GHz by investigating the effects of key design parameters, including the slot width (W_s), bent length (L_s1), inter-slot spacing (d_slot), and number of periodic unit cells (n). Antenna performance is evaluated in terms …

Improving Performance For Dco-Ofdm Based Vlc Via Convolutional Coding And Viterbi Decoding, Maha F. Shatti, Samir M. Hameed, Atheer A. Sabri

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The reliability of Visible Light Communication (VLC) is affected by several parameters, the most significant being high peak-to-average power ratio(PAPR) and nonlinear distortion. This study presents an adaptive direct current O-OFDM (DCO-OFDM) based VLC system as a solution, which integrates error correction the Convolutional coding and Viterbi decoding (by hard and soft decision methods) with a PAPR reduction technique that combines Vandermonde-like Matrix (VLM) precoding with a nonlinear companding transform (NCT). This proposed system enhances resistance to channel impairments, thereby reducing BER while maintaining the gains of PAPR reduction. Moreover, examined the system under realistic VLC propagation conditions both Line …

Cost-Efficient High-Capacity Radio Over Fiber (Rof) Transmission: Integrating Coarse And Dense Wdm Techniques, Hilal A. Fadhil, Fadia N. Hummadi, Feras N. Hasoon, Haider J. Abd, Hussein A. Kazem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Using Radio over Fiber (RoF) has expanded lately to the point where a key component of it link between central office and base station would be useful from the whole industry. As the market grows towards communication products of ultra-high-speed, like 5G applications, capital expenditure (CapEx) is crucial. The two primary types regarding wavelength division multiplexing (WDM) techniques Dense WDM and Coarse WDM are integrated in the presented work to create cost-effective, new design paradigm for RoF. The suggested system is tested and put into use at 10 Gbps data transmission rate. In addition, it describes how the two systems-based …

A Triple-Verification Framework For Swift, Real-Time Detection Of Anomalous Sensor Readings In Large-Scale Iot Systems, Taha E. Al-Jarakh, Inas Jawad Kadhim, Ayad Al-Dujaili, Eduardo Campos Mercado

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Due to the massive expansion of Internet of Things systems and the variety of anomalous data resulting from faulty sensors, cyberattacks, or communication failures, it has become difficult to handle this type of data. Although current machine learning and statistical analysis techniques offer high accuracy in detecting anomalies, these methods alone are not sufficient for handling massive amounts of data in real-time. Therefore, the idea arose to propose a Triple-Verification Framework to detect and block anomalous data. The first stage of the framework acts as a firewall to block incoming messages from blocklisted/unauthorized sensors or carrying unknown schemes. In the …

A Corpus Linguistics-Driven Hybrid Deep Representation Framework Incorporating Majority Voting For Enhanced Automatic Spoken Language Identification, Lubin Balasubramanian, J. Uthayakumar, Niranjana Kumara M, Sariga Arjunan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Spoken Language Identification (SLID) is a well-researched area. It has previously been recognized as a crucial first stage in every multi-lingual speech recognition system. Latest developments in artificial intelligence (AI) and deep learning (DL) are used to highly strengthen the performance of SLID systems, allowing them to perform a crucial part in mainstream applications The gathered speaker utterances have been entered into the DL network for training phase. The language equivalent to the great posterior probability is then recognized as the target language. This study introduces an Enhancing Automatic Spoken Language Identification with Corpus Linguistics and Ensemble Deep Representation (EASLI-CLEDR) …

Richmond Law Magazine: Autumn 2026

Richmond Law Magazine

To Lead is to Empower

The House That Family Money Built

The Front Line of Virginia's Judicial Systen

Exploring The Significance Of Kenya's Indigenous And Emerging Blue Foods For Sustainable Aquaculture Development. A Review, Jonathan Munguti, Mavindu Muthoka, Domitila Kyule, Esther Magondu, Kevin Obiero, Jimmy Mboya, Menaga Meenakshisundaram, Tanga M. Chrysantus, Gerald Kwikiriza, Francis K. Njonge

All Peer-Reviewed Publications

Kenya's aquaculture sector is at a pivotal stage, transitioning from a historical reliance on Nile tilapia and African catfish toward a more diversified production portfolio that integrates indigenous and emerging freshwater and marine species. This shift is increasingly recognized as essential to enhance climate resilience, food security, and ecosystem health. This systematic review synthesizes more than two decades (2000 to 31st January, 2026) of peer-reviewed literature to evaluate the biological suitability, culture performance, and socio-ecological roles of underutilized native taxa, including Ningu (Labeo victorianus), Jipe tilapia (Oreochromis jipe), freshwater prawns (Macrobrachium spp.), rabbitfish (Siganus sutor), marine-acclimatized Nile tilapia, mud crab …

A Profile Of Assisted Living Direct Care Workforce Training Requirements Across The United States, Erh-Chi Hsu, Paula Carder, Lindsey Smith, Zhiqing E. Zhou, Olga Yakusheva, Anna S. Beeber, Eric Jutkowitz, Kali Thomas

Institute on Aging Publications

Objectives

To characterize assisted living (AL) direct care worker (DCW) training requirements across the United States and how these regulations have changed over time. Specifically, we examine state-level profiles of training regulations, including duration, frequency, content, source of materials, evaluation, and changes in regulatory coverage.

Design

Cross-sectional and longitudinal descriptive study using state policy data and AL directories from 2019, 2021, and 2023.

Setting and Participants

All US states' AL training–related regulations; all ALs and AL beds governed by those regulations.

Methods

We used a mixed-methods approach with an explanatory sequential design (QUAN → qual), first conducting health services regulatory …

Check Out The Library, 2026 Fall Issue, Cal Poly Humboldt Library

Library Publications

Issue 21

Pharmacy Access Is Out Of Reach For One In Six South Carolinians, Bryan L. Love Pharm.D., Tessa J. Hastings Phd, Abby Davies

CORE Research Briefs

A cross-sectional geospatial analysis mapped active South Carolina community pharmacies and used 2020 Census tract data to estimate the population residing within and beyond five-mile pharmacy service areas. About one in six South Carolinians lives more than five miles from an active community pharmacy, with limited access disproportionately affecting rural communities.

Front Cover

Spiritan Horizons

No abstract provided.

Introduction

Spiritan Horizons

No abstract provided.

Fr. Henri Le Floch Cssp—The Forgotten Pioneer Of Poullart Studies. Part I, Eamonn Mulcahy Cssp

Spiritan Horizons

No abstract provided.

A Spirit-Led Movement: From Missionary Sending To Lay Vocation: The Development Of Lay Spiritans In The United States (1965–2026), John Hansen Phd, Anne Marie Witchger Hansen Phd

Spiritan Horizons

No abstract provided.

Animating Spiritan Education Through Communities Of Practice, Steve Hansen Phd, Anne Marie Witchger Hansen Phd

Spiritan Horizons

No abstract provided.

Bede Uche Ukwuije, Trinity And Inculturation: The Humanity Of God And The Future Of African Theolog Y. University Of Notre Dame Press, 2026. X + 351 Pages. $65 (Hardcover); $51.99 (Ebook), George Worgul

Spiritan Horizons

No abstract provided.

Efficacy And Safety Of Frail Patients Treated With Ciltacabtagene Autoleucel In The Real World: A Center For International Blood And Marrow Transplant Research Analysis., Hira Mian, Muhammad Salman Faisal, Tiening Chen, Ruta Brazauskas, Temitope Oloyede, Nausheen Ahmed, Aimaz Afrough, Larry D Anderson, Rahul Banerjee, Jesus Berdeja, Aram Bidikian, Jakob Devos, Binod Dhakal, Ajoy Dias, Danai Dima, Yvonne A Efebera, Lohith Gowda, Doris K Hansen, Hamza Hashmi, Heather J Landau, Lazaros Lekakis, Abu-Sayeef Mirza, Ravi Narra, Krina Patel, Ashley E Rosko, Mark Schroeder, Surbhi Sidana, Saad Usmani, Marcelo C Pasquini, Taiga Nishihori, Othman Salim Akhtar, Meera Mohan

Oncology Articles

Background: Ciltacabtagene autoleucel (cilta-cel), an anti-B-cell maturation antigen (BCMA) chimeric antigen receptor T-cell (CAR-T) therapy, is approved for relapsed/refractory multiple myeloma (RRMM).

Methods: Using the Center for International Blood and Marrow Transplant Research registry, this study evaluated outcomes of frail patients receiving commercial cilta-cel from March 2022 to December 2023. Frailty was defined by an adapted simplified score incorporating age, performance status, and comorbidities.

Results: Among 541 patients with available frailty status, 183 (33.8%) were frail and 358 (66.2%) were nonfrail. Overall response rates were comparable (frail 82.8% vs. nonfrail 88.5%). However, frail patients had inferior progression-free survival (PFS) (12-month …

Student Perceptions Of Artificial Intelligence-Generated Child Sexual Abuse Material: An Qualitative Content Analysis, Paige Horton, Amanda Isabel Osuna

Dignity: A Journal of Analysis of Exploitation and Violence

The rapid growth of artificial intelligence (AI), especially generative AI and deepfake technology, has introduced new challenges in the production and dissemination of child sexual abuse material (CSAM). While existing research has examined the technological and legal implications of AI-generated child sexual abuse material, less is known about how the public, especially young adults who are most likely to use AI technologies, perceive these developments. The present study addresses this gap by examining undergraduate student perceptions of AI-generated child sexual abuse material at a medium-sized private university in the Southeastern United States. Using data from a Qualtrics survey, this study …

Recovery And Resilience Of Survivors Of Sex Trafficking In Nepal, Bishnu Sapkota, Glenn M. Miles, Chitra B. Buthathoki

Dignity: A Journal of Analysis of Exploitation and Violence

This exploratory qualitative study examines how trafficking survivors in Nepalese rehabilitation centres perceive recovery and experience resilience within Nepal's specific socio-cultural context. This qualitative study employed in-depth interviews with six female sex trafficking survivors in Bagmati Province rehabilitation centres and analysed them through Bronfenbrenner's socio-ecological framework under the themes such as Hindu purity concepts, caste discrimination, joint family dynamics, and non-governmental organization dependency which shape their recovery experiences. The findings of the study reveal recovery as gradual emotional stabilization and future orientation rather than complete healing. Survivors describe stigma in terms of religious purity/pollution binary, with Dalit participants experiencing compounded …

In The Shadow Of The Ballot: Children As Victims Of Zimbabwe's 2008 Election Violence, Baldwin Hove, Chitja Twala, Bekithemba Dube

Dignity: A Journal of Analysis of Exploitation and Violence

The year 2008 witnessed one of the most violent electoral processes in Zimbabwean history. While extensive research has examined the 2008 election violence, limited scholarly attention has been paid to its effects on children. Using the structural violence framework, this study examines how the 2008 electoral violence affected children in Zimbabwe. The study analysed media reports and secondary texts, complemented by retrospective observations, to explore children's experiences during the electoral crisis. It seeks to expose the less examined consequences of political violence on children. The findings reveal that children witnessed assaults, murder, rape, forced displacement, the destruction of homes and …

Whose Mind Is It Anyway? A Phenomenological Reflection On The Experience Of Spiritan Christian Thinking, Jeffrey Mccurry Phd

Spiritan Horizons

No abstract provided.

2026-10-01 Caudill Connection, Morehead State University. Caudill College Of Arts, Humanities And Social Sciences.

Caudill Connection

Caudill Connection newsletter for October of 2026.