Digital Commons Network^™

A Multiple Case Study Exploring The Lived Experiences Of Special Education Teachers Of Students With Intellectual Disabilities, Patrece A. Scott

Doctor of Education Dissertations

Special educators, particularly the teachers of students with intellectual disabilities, remained an understudied group in research. The purpose of this phenomenological qualitative study was to examine how special educators navigated their lived experiences collaborating with three key stakeholder groups: parents, general education teachers, and administrators, particularly working with students with intellectual disabilities. Specifically, this study examined how special educators experienced collaboration with those stakeholder groups through the framework of McClelland's (1961) Theory of Needs. The study involved two semi-structured interviews with each of the 12 participants, all of whom were special educators at the middle or high school level. These …

Developer Perspectives On Licensing And Copyright Issues Arising From Generative Ai For Software Development, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Laura A. Heymann, Massimiliano Di Penta, Daniel M. German, Denys Poshyvanyk

Faculty Publications

Despite the utility that Generative AI (GenAI) tools provide for tasks such as writing code, the use of these tools raises important legal questions and potential risks, particularly those associated with copyright law. As lawmakers and regulators respond to these questions, the views of users can offer relevant perspectives. In this article, we provide: (1) a survey of 574 developers on the licensing and copyright aspects of GenAI for coding, as well as follow-up interviews; (2) a snapshot of developers’ views at a time when GenAI and perceptions of it were rapidly evolving; and (3) an analysis of developers’ perspectives, …

Investigating Spatial And Seasonal Differences In Microgastropod Assemblages Within The Little-Studied Camamu Bay, Brazil: A Potential Bioindicator For Remote Tropical Areas?, Francisco Kelmo, Sol De Maria Cesar Ferreira, Eduardo Henrique Galvão, Martin J. Attrill

School of Biological and Marine Sciences

This study investigates spatial and seasonal variation in the assemblages of benthic microgastropods (snails < 5–10 mm in length) within a poorly studied tropical bay. As these organisms are abundant, diverse and relatively easy to sample, with well-established taxonomy, they may prove a highly suitable group for ecological studies in such areas. Sediment samples were collected from three river basins in Camamu Bay, Brazil, during the wet and dry seasons. A total of 132 microgastropod species was recorded, demonstrating high diversity. The most abundant species were Eulithidium affine, Bittiolum varium, Cerithium atratum, Vitta virginea and Schwartziella bryerea. The least abundant species were Tenaturris gemma, Turbinella laevigata, Petaloconchus erectus, Parviturboides interruptus and Vitrinella cupidinensis. Statistical analysis revealed significant seasonal and spatial differences in diversity and assemblage composition, which correlated with environmental gradients. The results suggest that microgastropods are a suitable component of the biota for ecological and applied studies in marine sediments, particularly in remote tropical locations where full macrofaunal analysis may be challenging. Whilst further testing across impact gradients is needed, this approach offers a practical solution for ecological investigations in remote regions with limited taxonomic expertise and highlights microgastropods as a useful indicator taxon for impact biomonitoring in tropical marine sediments.

A Position Statement On Endovascular Models And Effectiveness Metrics For Mechanical Thrombectomy Navigation, On Behalf Of The Stakeholder Taskforce For Artificial Intelligence-Assisted Robotic Thrombectomy (Start), Harry Robertshaw, Anna Barnes, Phil Blakelock, Raphael Blanc, Robert Crossley, Rebecca Fahrig, Ameer E. Hassan, Benjamin Jackson, Lennart Karstensen

School of Medicine Publications

Although we are making progress in overcoming infectious diseases and cancer, one of the major medical challenges of the mid-21st century will be the increasing prevalence of stroke. Occlusions in large vessels are especially debilitating, yet effective treatment—needed within hours to achieve best outcomes—remains limited because of geographic accessibility. One solution for improving timely access to mechanical thrombectomy in geographically diverse populations is the widespread deployment of robotic surgical systems. Artificial intelligence assistance may enable the safe and effective upskilling of operators in this emerging therapeutic delivery approach. Our aim was to establish consensus frameworks for developing and validating artificial …

Eeg And Imu Gait Signal Processing: A Comparative Assessment Of The "Reza" Exponential Filter And Classic Filters, Reza Pousti, Daniel M. Russell, Derek C. Monroe, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Noise degrades both EEG and gait signals, and classical IIR filters (Butterworth, Chebyshev, elliptic) involve trade-offs between passband flatness, ripple, and roll-off. This study compared a novel exponential "Reza" filter with these designs for neural and locomotor data. We analyzed an open-source mobile brain-body imaging dataset with EEG and gait data from 49 healthy adults (EEG: 256-channel, 512 Hz; IMUs: six APDM Opals, 128 Hz). EEG channels were grand-averaged and band-pass filtered at 0.5-50 Hz, while IMU axes were averaged and band-pass filtered at 0.5-5 Hz. The outcomes were signal-to-noise ratio SNR (dB) and band-integrated Welch PSD (EEG:0.5-50 Hz; IMU:0.5-5 …

The Sequence (S) Index As A Marker Of Diminished Step-To-Step Transition Efficiency In Older Adults, Elham Alijanpour, Ashwini Kulkarni, Peter G. Adamczyk, Daniel M. Russell

Rehabilitation Sciences Faculty Publications

Introduction: Age-related declines in walking efficiency are often attributed to musculoskeletal and neuromuscular changes, yet the mechanisms underlying these inefficiencies remain poorly understood. One key contributor is the step-to-step transition (STST), during which the center of mass (CoM) is redirected between limbs. The Sequence (S) index quantifies the temporal overlap between push-off and collision forces during STST, with higher values indicating greater mechanical energy loss. This study investigated whether aging affects STST efficiency, as quantified by the S index, and examined the timing and impulse characteristics underlying observed differences.

Methods: Thirteen young and eleven older healthy adults walked at five …

Patch-Moe Mamba: A Patch-Ordered Mixture-Of-Experts State Space Architecture For Medical Image Segmentation, Diego Adame, Fabian Vazquez Jr., Jose A. Nunez, Huimin Li, Jinghao Yang, Erik Enriquez, Dongchul Kim, Haoteng Tang, Bin Fu, Pengfei Gu

Computer Science Faculty Publications

CNN- and Transformer-based architectures have achieved strong performance in medical image segmentation, but CNNs are limited in modeling long-range dependencies, while Transformers often suffer from quadratic computational and memory complexity. State space models, especially Mamba-based networks, offer an efficient alternative with linear sequence complexity. However, existing Mamba segmentation models still face two limitations: pixel-wise directional scanning can disrupt local 2D spatial structure, and simple summation-based fusion of scan directions cannot adapt well to diverse object sizes, shapes, and boundaries. To address these issues, we propose Patch-MoE Mamba, a patch-ordered mixture-of-experts state space architecture for medical image segmentation. It introduces a …

Are Ocular Markers Of Sun Exposure Associated With Skin Cancer? A Cross-Sectional Analysis Of The Busselton Healthy Ageing Study, Gareth Lingham, Vinay Kumar Nilagiri, Holly Brown, Chrianna Bharat, Samantha S.Y. Lee, Maria Franchina, Michael Hunter, Kevin Murray, David Alonso-Caneiro, Catherine M. Olsen, David C. Whiteman, David A. Mackey

Research Outputs: 2025-Present

Background: Higher past sun or ultraviolet radiation exposure increases the risk of skin cancer and three common ocular findings: pterygium, conjunctival ultraviolet autofluorescence (CUVAF) and myopia. We investigated whether ocular markers of past sun exposure are associated with a history of skin cancer. Methods: A cross-sectional study of participants who attended the Phase 2 examination of the Busselton Healthy Ageing Study in Western Australia (2016–2022). Myopia was determined from autorefraction and pterygium and CUVAF from photographs of the anterior eye. Past diagnosis of a skin cancer was obtained from linked hospitalisation and cancer registry data (melanoma) or combining linked and …

A Review Of Data Interoperability As A Barrier To Non-Residential Building Energy Policy: Evidence From Ireland, Ankur Mitra, Kriti Bhalla, Ciara Ahern

Research Outputs: 2025-Present

Non-residential buildings account for a significant share of energy use and greenhouse gas emissions across the EU, yet evidence-based policy development remains hindered by fragmented and non-interoperable building data systems. This study evaluates the suitability of publicly available electronic datasets for characterising Ireland’s non-residential building stock and supporting bottom-up energy modelling in the context of the recast Energy Performance of Buildings Directive (EPBD 2024/1275/EU).A systematic scoping review of national government and institutional datasets was conducted using an adapted PRISMA-ScR approach. The analysis identified the national Energy Performance Certificate database and GeoDirectory as the only datasets with sufficient scale and detail …

Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima Ghadiri, Fuad A. Awwad

Research Outputs: 2025-Present

This study introduces a semiclassical modeling for the impact of proton irradiation on two perovskite solar cell structures: FA_0.7Cs_0.3Pb(I_0.9Br_0.1)₃/C₆₀ and Cs_0.01MA_0.01FA_0.98PbI₃/P3HT using coupled current-continuity and rate equations linked to irradiation-induced defect-generation rate. Results reveal a strong dependence of radiation response on perovskite composition. Proton irradiation can induce both ionizing and displacement damage in perovskite solar cells leading to vacancy and defect generation. The result is increased recombination and degradation of performance parameters (reduced fill factor and efficiency) or, otherwise, annihilation of …

Cognitive Causal Modeling Of Blockchain Adoption In Agri-Food Supply Chains: A Fuzzy-Dematel Approach, Ali Ala, Behnam Malmir, Hamed Baziyad, Vladimir Simic

Research Outputs: 2025-Present

Background / Introduction: Blockchain can improve agri-food supply-chain transparency, but adoption decisions are cognitively complex because managers judge interdependent criteria under uncertainty. This study frames adoption as cognitive causal decision modeling, aligning with cognitive computation through expert judgment, linguistic uncertainty, causal reasoning, and explainable decision support. Methods: We applied Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) to judgments from 20 experts. Eight technology-adoption criteria were modeled using triangular fuzzy numbers, and an impact relationship map was used to classify criteria by outgoing influence (R), incoming influence (C), prominence (R + C), and net causality (R − C). Results: Smart Contracts …

Modeling The Impact Of Proton Irradiation On Photoluminescence Spectra Of Perovskite Solar Cells, Ming Lang Tseng, Nima Ghadiri

Research Outputs: 2025-Present

This study presents a comprehensive modeling approach to assess the impact of proton-irradiation on the photoluminescence (PL) response and current–voltage (JV) characteristics of CsMAFAPbI₃/P3HT-based perovskite solar cell validated against experimental data reported in literature. Proton irradiation generates displacement damage across the cell structure most critically within the perovskite bulk where the defect density increases approximately linearly with increased fluence and decreases for high proton energies due to reduced non-ionizing energy loss (NIEL) at higher energies. To capture the optical degradation behavior, Time-Resolved PL transient (TRPL) and PL spectra were modeled using a fluence- and energy-dependent Kohlrausch model (stretched-exponential) …

Health And Environmental Consequences Of Blue Light Exposure And Mitigation Strategies: A Review, Dr Hani Alkhatib, Brian Norton

Research Outputs: 2025-Present

Blue light is a natural component of the visible spectrum that has a fundamental role in regulating circadian rhythms, visual performance, mood, and daytime alertness. In modern environments, however, exposure patterns have shifted due to widespread use of artificial lighting and digital devices. Artificial blue light exposure can be mistimed relative to the biological night. This literature review examines the consequences of inappropriately timed artificial blue light exposure. Specifically, the review covers: (i) the spectral biology of blue light and its role in circadian entrainment; (ii) the timing-, intensity-, and duration-dependent effects on human sleep, ocular health, mood, and metabolic …

Regulatory Invisibility And Energy Poverty: Epc Exclusion, Traveller Mobile Homes And Ireland’S Low-Carbon Transition, Paul Lally, Ehiaze Ehimen, Mary Galvin, Ciara Ahern

Research Outputs: 2025-Present

Energy Performance Certificate (EPC) systems play a central role in residential decarbonisation by determining how dwellings are assessed, benchmarked and made eligible for retrofit support. However, these systems are largely designed around conventional, permanent, site-built housing and can exclude non-standard dwelling types. This paper examines the exclusion of permanently occupied Traveller mobile homes from Ireland’s EPC framework and considers the implications for energy poverty, retrofit policy and energy justice. Using a critical narrative synthesis, the study integrates academic literature, statutory reports, policy documents and community-based evidence to trace the relationship between Traveller accommodation policy, regulatory classification and contemporary decarbonisation frameworks. …

Editorial: Harnessing Of Soil Microbiome For Sustainable Agriculture: Harnessing Of Soil Microbiome For Sustainable Agriculture, Debasis Mitra, Marika Pellegrini, Leonard Koolman

Research Outputs: 2025-Present

No abstract provided.

Technical Skills And Their Roles In Agribusiness Supply Chain Management Education, Ryan Loy, Logan L. Britton, F. Bailey Norwood

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The integration of advanced technical skills and supply chain management (SCM) tools is critical for the evolving demands of agribusiness. This study identifies the technical competencies, software proficiencies, and educational strategies essential for preparing students to excel in modern SCM roles. Through semi-structured interviews with 26 SCM professionals across US agribusiness sectors, the study highlights the demand for expertise in tools such as SAP, Power BI, and SQL alongside capabilities in data-driven decision-making and adaptability. Despite theoretical preparation, graduates often lack practical experience with industry-standard technologies, underscoring a gap in academic curricula. The findings suggest that agribusiness programs should emphasize …

Beyond The Classroom: The Continuing Impact Of Brown V Board On Equitable Access To Career And Technical Education For Historically Underrepresented Students, Shannon Hood

Murray State Theses and Dissertations

Using a qualitative phenomenological design grounded in Critical Race Theory (CRT) and Culturally Relevant Pedagogy (CRP), this study examined how institutional structures, instructional practices, and community and industry partnerships shape equitable access, engagement, and outcomes in secondary Career and Technical Education (CTE) programs serving students from historically marginalized backgrounds. Semi-structured interviews were conducted with thirteen participants, including educators, administrators, and industry partners engaged in secondary CTE implementation. Thematic analysis identified recurring patterns related to leadership decision-making, instructional relevance, culturally responsive teaching practices, relational trust and advocacy, and authentic work-based learning (WBL) experiences. Findings indicate that equitable participation in CTE extends …

Computational And Ai Literacy: Lessons Learned From Computer Science Education, Sharin Jacob, Yenda Prado, Quinn Burke

Journal of Computer Science Integration

This conceptual paper explores the intersection of computational thinking (CT) and artificial intelligence (AI) literacy, proposing a framework integrating AI literacy into existing computational literacy models. We argue that computational thinking (CT) skills form the foundation for AI literacy, and that lessons learned from decades of computer science (CS) education research can ably guide the development of AI literacy instruction for a wide range of  students and within integrative contexts. Drawing on Kafai and Proctor's (2022) conceptualization of computational literacy, as well as encompassing cognitive, situated, and critical dimensions, we extend their framework to advance our understanding of AI literacy. …

Automatic Teeth Segmentation In Panoramic Radiographs Using Attention U-Net, Shehabeldin Mohamed Saber Prof.Dr.

Dentistry

Aim: The aim of this study is to investigate the effectiveness of the Attention U-Net architecture for teeth segmentation in panoramic dental images. By exploring the potential of Attention U-Net, the study aims to contribute to the development of more precise and automated dental imaging analysis, which could enhance diagnosis, treatment planning, and computer-aided dental systems. Subjects and methods: The TUFTS University dataset consisting of 1000 de-identified panoramic radiographs was used for training and testing an Attention U-Net architecture with 10-fold cross-validation. These scores surpass those of all other networks implemented on the same dataset. using a newly available benchmark …

Dual Regulation Of Osteogenesis And Inflammation By Pomegranate (Punica Granatum L.) Extract In Periodontal Ligament-Derived Stem Cells: Implications For Regenerative Medicine, Mai Hafez

Dentistry

Objectives

This article aims to compare the osteogenic along with anti-inflammatory activity of different concentrations of pomegranate extract (PG) on human periodontal ligament-derived stem cells (hPDLSCs) in vitro.

Materials and Methods

hPDLSCs were acquired from the root surface of removed molars, cultured, and then distinguished by flow cytometry analysis and several lineage differentiation potentials. To identify the effect of PG on hPDLSCs' viability, an MTT assay was performed. hPDLSCs were maintained in osteogenic induction medium with varying concentrations of PG. At the end of the induction period, osteogenesis was assessed using Alizarin Red staining, ALP assay, and qRT-PCR to determine …

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Artificial Neural Network Based Protection For Dc Bus Using Solid State Dc Breaker, Eswaraiah Giddalur, Askani Jaya Laxmi

ASEAN Journal on Science and Technology for Development

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of …

Extraction And Characterization Of Fresh And Dehydrated Cactus (Opuntia Ficus Indica) Polysaccharide For Hydrogel Preparation, Aye Thwe Thwesoe, May Myat Khine

ASEAN Journal on Science and Technology for Development

In this research, extraction of polysaccharide compounds from Cactus (Opuntia Ficus Indica) leaves in both fresh and dehydrated condition by solvent precipitation method using three types of water, acid (HCL) and NaOH. Before extraction, the physicochemical properties were examined to determine optimum yield (%) of extracted polysaccharide by optimization of Box-Behnken Design (BBD) of response surface methodology (RSM). The polysaccharide-based acrylamide hydrogel was prepared by free radical polymerization. The functional and structural characterization was done by FTIR, XRD and SEM for examination of extracted polysaccharide as raw polymer backbone in hydrogel preparation and prepared hydrogel as adsorbent for metal removal. …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Design Of An Economic Order Quantity–Based Dashboard For Vaccine Packaging Inventory Management, Hadi Susanto, Susmitha Canny, Alexandra Elizabeth Callistha, Shakira Dwi Purwandari, Naila Davina Aurelia

ASEAN Journal on Science and Technology for Development

Background: Timely availability of vaccine packaging is critical to pharmaceutical supply chain reliability, as packaging materials play a key role in maintaining cold chain integrity during distribution. Inadequate availability of packaging materials can disrupt vaccine delivery even when finished vaccines are ready for shipment. The case company faces frequent delivery delays, insufficient safety stock, and irregular replenishment of vaccine packaging materials, which have jeopardized the organization’s target of achieving a 90% on-time delivery rate.

Objective: To design and evaluate an Economic Order Quantity (EOQ)–based inventory dashboard for vaccine packaging that standardizes ordering decisions and strengthens stock visibility in pharmaceutical distribution …

Multiclass Skin Lesions Classification And Early Skin Cancer Detection Using An Attention-Enhanced Xception Architecture, Shamira Arshad Shaikh, Yogita Mistry

ASEAN Journal on Science and Technology for Development

Skin disorders are considered one of the major healthcare problems globally and need proper, prompt, effective and early diagnosis to enhance clinical practice. Traditional machine learning and deep learning approaches often exhibit limited generalization capability and reduced effectiveness in extracting discriminative features from complex multiclass dermatological datasets. For this purpose, an interpretable attention-enhanced Xception framework for automatic multiclass skin disease diagnosis based on dermoscopic images has been designed through the use of the International Skin Imaging Collaboration (ISIC) dataset. The dataset includes 2,357 dermoscopic images that belong to nine classes of skin lesions. The proposed framework integrates channel attention and …

Numerical Simulation Of Micro-Cutting Processes For The Estimation Of Material Fracture Toughness, Juan J. Lainez

Graduate Studies Theses and Dissertations 2026

Accurate determination of plane-strain fracture toughness is essential for structural integrity assessments of engineering components, yet conventional ASTM standardized testing methods require large, notched specimens that are impractical in many industrial and research contexts. This thesis presents a finite element method-based approach for estimating the mode I plane-strain fracture toughness of engineering materials from orthogonal micro-cutting simulations if the continuum damage mechanics-based fracture locus is calibrated. This method will eliminate the need for pre-cracked specimens while maintaining physically grounded fracture mechanics principles. The methodology applies to the Atkins energy-based cutting force model, in which the depth-independent intercept of the specific …

Hybridization Of Genetic Algorithm, Principal Component Analysis And Deep-Learning For Networks Intrusion Detection Systems, Mostafa A. R. Eltokhy, Hend M. A. Mahmoud, Mohammad Sammany

Trends in advanced sciences and technology

With cyber-attacks on the rise, the demand for precise and efficient Intrusion Detection Systems (IDS) is more critical than ever. Traditional machine learning methods struggle with high false alarm and poor detection rates. IDS are crucial for creating secure digital environments by classifying and responding to network intrusions. However, the large volume of inputs for classification often leads to reduced accuracy and misclassification errors. To address this problem, Principal Component Analysis (PCA) is used to optimize the number of classifier inputs, enhancing simplicity without compromising accuracy. A significant challenge in PCA for feature selection lies in determining the best cutoff …

Empirical Modeling For Prediction Green-Nanofluids Stability Using Minitab Software Towards In Using As Sustainable Coolants, Basma Abdelmoniem, Azza Barakat, Nariman E. Elbaly, Abdelhay.M Abdelhay, Mohamed O. Helmy

Trends in advanced sciences and technology

This research study uses empirical modeling to predict the stability of nano-green fluids, which are designed with a full factorial experimentation design. All experiments were designed, and the analysis was performed by Minitab software. The stability of Al₂O₃/CNT-castor oil was measured by zeta potential, and Al₂O₃/ CNT-jojoba oil was measured by visual sedimentation over days. The dependent variables in each design are magnetic stirring and sonication bath times with three levels for each oil type. The resulting empirical models proved highly effective, with R-squared values exceeding 95% for all formulations. Specifically, the models for castor oil stability reached R-squared values …