Cumulative Process Research Articles

Educating the Educators on Generative Artificial Intelligence in Higher Education

In the current spring of Artificial Intelligence, the rapid development of Generative AI (GenAI) has initiated vivid discussions in higher education. Opportunities as well as challenges have been identified and to cope with this new situation there is a need for a large-scale teacher professional development. With basic skills about GenAI teachers could use the new technology as an extension of the existing technology enhanced teaching and learning. The aim of this paper is to present and discuss the project FAITH (Frontline Application of AI and Technology-enhanced Learning for Transforming Higher Education). FAITH is a higher education pedagogical development initiative for institutional development for teachers with good fundamental skills in traditional pedagogy. A project with the overall objective of increasing the staff understanding of AI and to develop new competencies in the field of GenAI and technology enhanced learning. The research question that guided this study was: "What are the perceived opportunities, challenges and expectations of involving GenAI in higher education?" The overall research strategy for the FAITH project is design-based research, which involves iterative and cumulative development processes. In the early iteration that this study was a part of has been carried out inspired by Collective Autoethnography where members of the steering group behind the FAITH project, and members of the project team have constituted the main focus group. Data were collected by structured interviews where two GenAI tools also have been interviewed. Findings show that the expectations are high, but that the FAITH ambition of institutional development is depending on teachers’ motivation for taking an active part in the project. Another challenge could be that many teachers see GenAI as something that threatens the current course design, and that a general ban of GenAI is the appropriate solution. One of, several identified opportunities, is that a general revision of syllabi and assessment in an adaptation for GenAI enhanced learning would improve the current course design.

Addressing Cumulative Effects through an Indigenous-led Assessment Process.

Cumulative effects assessments are often expected to include an analysis of environmental and social effects despite a relative lack of clarity around how include a broad spectrum of social and cultural impacts. In Canda, these expectations are evolving in part in response to the need to consider the impacts of development on Indigenous communities, and the emergence of Indigenous-led Led Impact Assessment. Led by a team from the Tŝilhqot'in National Government and the University of British Columbia's Centre for Environmental Assessment Research, this project explored how to improve processes for assessing cumulative effects drawing from an Indigenous-led approach. We identify six guiding principles, and discuss how they are integrated in the Tŝilhqot'in Nation's evolving Impact Assessment and Cumulative Effects Assessment processes.

Theoretical and experimental study on the damage behavior of bolted joints under cyclic loads

This paper presents a quasi-static and dynamic experimental study on the damage behavior of bolted joints. It proposes a 7-parameter theoretical model to accurately describe the damage properties of bolted joints during both micro- and macro-slip stages under cyclic loads. Results from quasi-static experiments indicate that under the preload of 12.4 kN, a ratcheting effect is observed during the micro-slip stage, reflecting the cumulative plastic damage process at the bolted interface. The macro-slip force exhibits a linear decrease with increased loading cycles. In the initiation of macro-slip, energy dissipation exhibits unstable characteristics, manifested as an "S"-shaped curve in the energy dissipation-applied force relationship. The proposed model can well describe bolted joints' observed energy dissipation characteristics.

Omnidirectional Energetic Electron Fluxes From 150 to 20,000 km: An ELFIN‐Based Model

AbstractThe strong variations of energetic electron fluxes in the Earth's inner magnetosphere are notoriously hard to forecast. Developing accurate empirical models of electron fluxes from low to high altitudes at all latitudes is therefore useful to improve our understanding of flux variations and to assess radiation hazards for spacecraft systems. In the present work, energy‐ and pitch‐angle‐resolved precipitating, trapped, and backscattered electron fluxes measured at low altitude by Electron Loss and Fields Investigation (ELFIN) CubeSats are used to infer omnidirectional fluxes at altitudes below and above the spacecraft, from 150 to 20,000 km, making use of adiabatic transport theory and quasi‐linear diffusion theory. The inferred fluxes are fitted as a function of selected parameters using a stepwise multivariate optimization procedure, providing an analytical model of omnidirectional electron flux along each geomagnetic field line, based on measurements from only one spacecraft in low Earth orbit. The modeled electron fluxes are provided as a function of ‐shell, altitude, energy, and two different indices of past substorm activity, computed over the preceding 4 hr or 3 days, potentially allowing to disentangle impulsive processes (such as rapid injections) from cumulative processes (such as inward radial diffusion and wave‐driven energization). The model is validated through comparisons with equatorial measurements from the Van Allen Probes, demonstrating the broad applicability of the present method. The model indicates that both impulsive and time‐integrated substorm activity partly control electron fluxes in the outer radiation belt and in the plasma sheet.

HERCULES SLAYING CACUS IN THE HYPOGEUM OF THE VIA DINO COMPAGNI, ROME

Considering Roman art as a cumulative process could help resolve a small iconographical problem. Cubiculum N in the burial hypogeum under the Via Dino Compagni in Rome (c.350–75 ce) features a series of figure scenes referencing the exploits of the mythological hero Hercules. One of these scenes, presently entitled Hercules Slaying an Unknown Enemy, has no direct equivalent in extant Roman art and so has proved difficult to identify. This article suggests that Hercules’ battle with Cacus is most likely the incident referred to here. This is because Antonine medallions and coins, and third-century Roman sarcophagi, use imagery associated with the Cacus story that collectively could have contributed to the design of the Unknown Enemy panel. Further, identifying the defeated enemy as Cacus fits in with, and indeed helps to clarify, programmatic themes and associations already established in the other figure scenes in this funerary chamber.

Vocal consensus building for collective departures in wild western gorillas.

The ability to coordinate actions is of vital importance for group-living animals, particularly in relation to travel. Groups can only remain cohesive if members possess a cooperative mechanism to overcome differences in individual priorities and social power when coordinating departures. To better understand how hominids achieve spatio-temporally coordinated group movements, we investigated vocally initiated group departures in three habituated groups of western gorillas (Gorilla gorilla) in the Central African Republic. The large sexual dimorphism of gorillas has led to the untested assumption that the silverback males are the sole decision-makers in gorilla groups, although there are also observations that suggest otherwise. To address this, we analysed the direction and timing of group departures and found that high-ranking individuals (silverbacks and high-ranking females) were more successful in indicating the direction of future travel than others, but that the timing of departure was the apparent result of a cumulative vocal voting process among all adult group members. Our findings illustrate that even in species with a large sexual size dimorphism, travel decisions can be taken collectively via a consensus-building process.

Pongo's ecological diversity from dental macrowear analysis

AbstractObjectivesOrangutans are found in tropical rainforests of Borneo (Pongo pygmaeus) and Sumatra (Pongo abelii and Pongo tapanuliensis), and they are primarily considered frugivorous species. However, ecological studies reported differences in feeding behavior between these species. P. pygmaeus spend more time feeding on low‐quality foods, such as bark and tough vegetation than do P. abelii. The aim of this study is to investigate if there is any geographic variation in molar macrowear pattern between the two species.MethodsWe analyzed the macrowear pattern of second mandibular molars of 58 orangutan specimens combining dental topographic measurements (occlusal relief index, percentage of dentine exposure, and percentage of enamel wear) with the occlusal fingerprint analysis method.ResultsThe molar macrowear patterns of P. abelii and P. pygmaeus show no significant differences in most of the variables examined in this study. While P. pygmaeus molars are generally characterized by flatter occlusal morphology with slightly larger crushing and grinding areas than those of P. abelii, these differences are not statistically significant. However, we do observe a more variable wear in P. pygmaeus.ConclusionsSimilarities in molar macrowear patterns between the two species could be linked to overlapping long‐term diets, primarily composed of ripe and pulpy fruits. Dental macrowear is a cumulative process that occurs during the individual's lifetime, and it may be difficult to detect seasonal changes through its examination. Future studies could integrate tooth micro‐ and macrowear data for a better understanding of primate dental ecology.

Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects

This paper delves into the intricate scheduling strategies crucial for the final testing phase of memory chip manufacturing within the semiconductor industry and other related sectors. It specifically addresses the complex serial-batching scheduling problem, where memory chips are tested on parallel machines under power constraints and chip deterioration effects. The processing time for each chip is significantly influenced by both the cumulative processing time of preceding chips and the power requirements for testing. We formulate this real-world optimization problem using a mixed integer nonlinear programming model. Exact solutions for small instances are obtained using a commercial solver. However, due to the model's complexity, we also develop heuristic solutions to efficiently handle larger instances. Based on the derivation of structural properties, we develop two tailored heuristic algorithms to determine the schedule for the final testing of memory chips. Additionally, we propose a refined Variable Neighborhood Search algorithm (VNS-H) that seamlessly integrates five local search strategies with two supplementary heuristic algorithms, dynamically alternating between them to ensure a balance between computational efficiency and the quality of the solutions obtained. Additionally, we establish a lower bound to validate the effectiveness of these solutions, particularly for large-scale instances. To validate the efficacy and robustness of our proposed metaheuristic algorithm, we conduct a rigorous comparison of the VNS-H algorithm with five other metaheuristic algorithms that have promising performance in various optimization problems. The results highlight the superior performance of the VNS-H algorithm. In small-scale instances, our VNS-H algorithm achieves an average makespan that is 5.52% lower compared to the original VNS. For large-scale instances, the VNS-H algorithm reduces the average makespan by 13.46% compared to VNS. Finally, we discuss the managerial implications of our findings, providing insights specifically tailored to semiconductor manufacturing enterprises based on the outcomes of this study.

Extracting regional and temporal features to improve machine learning for hourly air pollutants in urban India

India is suffering from severe particulate matter (PM, including PM2.5 and PM10) pollution, while limited ground observations are insufficient to support a comprehensive understanding of its health risks. Machine learning (ML) has the potential to improve the estimation of PM distribution and exposure efficiently. Regional transport as well as accumulation and dispersion processes of PM and its components, which have significant impacts on PM concentrations, are crucial when building ML models, especially for sparsely observed regions like India. Here, geographic and temporal-rolling weighting methods were used to separately extract regional and temporal features for improving the performance of the ML model. The incorporation of temporal and regional features into the ML model significantly improved ML model performance, with root mean square error (RMSE) reduced by 21 % and 19% for PM2.5 and PM10 estimation, as well as an improvement in model underestimation for the heavy pollution scenarios. The spatial-temporal model shows out-of-sample test CV coefficients of determination (R2) of 0.87 and 0.88 for hourly PM2.5 and PM10. The ML model predicts an annual nationwide concentration of 68.3 μg/m3 for PM2.5 with a north (high, especially in Indo-Gangetic Plain) to south (low) distribution, which is consistent with high satellite aerosol optical depth (AOD) values. Boundary layer height is identified as the main meteorological factor influencing PM2.5 concentrations in winter. Characterizing the regional transport and cumulative dispersion processes of pollutants by extracting features can help in machine learning training, and this method can be further improved and applied to other studies.

Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses

Chicken body weight (BW) is a critical trait in breeding. Although genetic variants associated with BW have been investigated by genome-wide association studies (GWAS), the contributions of causal variants and their molecular mechanisms remain largely unclear in chickens. In this study, we construct a comprehensive genetic atlas of chicken BW by integrative analysis of 30 age points and 5 quantitative trait loci (QTL) across 27 tissues. We find that chicken growth is a cumulative non-linear process, which can be divided into three distinct stages. Our GWAS analysis reveals that BW-related genetic variations show ordered patterns in these three stages. Genetic variations in chromosome 1 may regulate the overall growth process, likely by modulating the hypothalamus-specific expression of SLC25A30 and retina-specific expression of NEK3. Moreover, genetic variations in chromosome 4 and chromosome 27 may play dominant roles in regulating BW during Stage Ⅱ (8–22 weeks) and Stage Ⅲ (23–72 weeks), respectively. In summary, our study presents a comprehensive genetic atlas regulating developmental stage-specific changes in chicken BW, thus providing important resources for genomic selection in breeding programs.

Dehumanization in the United States carceral system: Pathways to policy reform

AbstractThis narrative review examines the cumulative dehumanization process within the United States carceral system, highlighting how current policies perpetuate harm and undermine the well‐being of incarcerated individuals. Through a narrative review of interdisciplinary research, we explore the psychological, sociological, and legal dimensions of life within prison walls. We argue that the cumulative dehumanization inherent in these practices not only risks the safety and futures of prisoners but also creates environments that increase the likelihood of rule infractions and extended sentences. We identify and highlight the process of dehumanization across individual, interpersonal, institutional, and systemic levels. Our analysis focuses on three critical policy areas: the goals and directives of the Federal Bureau of Prisons, the use of subminimum wages and forced labor, and the impact of fees on prisoners’ access to healthcare. By prioritizing respect, fairness, and humane treatment, we can dismantle the structures perpetuating dehumanization and harm.Public Significance StatementThis paper reviews the research surrounding cumulative dehumanization in prison life. It provides three policy recommendations in order to combat the dehumanization of prisoners, including changing the directive of the Bureau of Prisons, ending the use of subminimal wages, and removing fees from prisoners seeking medical treatment.

Reflective Thinking and Growth Through Parent Education: Experiences of Korean Mothers with Young Children

The purpose of this study was to explore the lived experiences of Korean mothers in relation to parent education. Parent education was broadly defined in this study to encompass the various educational experiences that parents “try” and “undergo” both before and after becoming parents. Rather than being confined to a single program, we aimed to understand parent education as a cumulative process, comprising diverse experiences that shape parents’ lives and roles. We conducted in-depth interviews with seven mothers of infants and toddlers, followed by a reflexive thematic analysis of the data. Four major themes emerged from the analysis. The first theme, “confusion about becoming a parent,” describes the initial challenges of adjusting to the loss of freedom and the adaptation to new responsibilities. The second theme, “parent education through observation and experience,” highlights how parents learned by observing and engaging with real-life situations before and after the birth of their children. The third theme, “active participation in purposeful parent education,” focuses on structured educational programs in shaping parental roles. The final theme, “reflective thinking and personal growth through parent education,” illustrates how reflective practices as a mother contributed to the parental development. This study underscores the importance of adopting a long-term perspective on parent education, recognizing the interconnected nature of parental and child development and appreciating the experiences of mothers who grow through reflective thinking.

A cumulative damage model for tubes in nuclear power plants subject to continuous degradation and multi-effect shocks under dynamic environments

Continuous degradation and shocks are two vital damage mechanisms for tubes under dynamic environments in nuclear power plants (NPPs). In this work, we presented a cumulative damage model to evaluate the reliability of tubes in NPPs, which accounts for continuous degradation and random shocks. The dynamic environments were assumed to obey a homogenous Markov process. Continuous degradation was described as a general stochastic process with independent increments. A multinomial distribution was used to depict the multiple effects of Poisson-distributed shocks on tubes. The influence of dynamic environments on the cumulative damage process of tubes was also explicitly modeled. Closed-form reliability measures were derived, such as reliability functions and mean time to failure (MTTF) of tubes. Drawing upon a case study from the existing literature, the analytical solution was validated through a comparative analysis with the outcomes of Monte Carlo simulation (MCS) and other methodologies referenced in the literature. As a practical engineering application, the reliability of steam generator tubes made of Alloy 690 within pressurized water reactors (PWRs), which are susceptible to primary side stress corrosion cracking (PWSCC) and the effects of water hammer, was calculated. The findings indicate that the probabilities of steam generator tube rupture (SGTR) as estimated by the model and those inferred from operational experience have the same order of magnitude.

Hubungan ASI Eksklusif dan Pola Konsumsi dengan Kejadian Stunting Pada Balita di Wilayah Kerja Puskesmas Idi Rayeuk Kabupaten Aceh Timur Tahun 2023

Stunting in children is a cumulative process that occurs from pregnancy, childhood and throughout the life cycle. The purpose of this study was to determine the relationship between exclusive breastfeeding and consumption patterns with the incidence of stunting in toddlers in the Idi Rayeuk Health Center Working Area, East Aceh Regency in 2023. This type of research is an analytical observational study using a Cross Sectional approach. In this study, the sample was part of the toddlers in the Idi Rayeuk Health Center Working Area, East Aceh Regency in 2023, namely 61 people. The sample in this study was taken using a probability sampling technique, namely using a simple random sampling method. The results of the study showed that most toddlers did not experience stunting, namely 38 people (62.3%) compared to those who experienced stunting, namely 23 people (27.7%), There is a relationship between Exclusive Breastfeeding and the incidence of stunting in toddlers. There is a relationship between consumption patterns and the incidence of stunting in toddlers. It is recommended that the Health Center provide education to parents so that they have good skills in parenting patterns and toddler consumption patterns, providing Exclusive Breastfeeding and providing food.

Modeling gender differences in the job promotion process: Replication and extension of Martell et al. (1996).

Differences in employee evaluations due to gender bias may be small in any given rating cycle, but they may accumulate to produce large disparities in the number of women and men promoted to the top of an organization. A highly cited simulation by Martell et al. (1996) demonstrates this cumulative advantage process in a multilevel organization. We replicated this simulation to uncover important details about its operating assumptions, and we extended the simulation to examine a range of variables that may impact the cumulative effects of gender bias. The replication revealed that the male cumulative advantage in the Martell et al. simulation requires (a) decades of typical promotion cycles to produce, (b) constant mean differences in the performance ratings of women and men but equal within-group variances, and (c) attrition that occurs randomly at a low and constant rate. Our extended simulation demonstrates that (a) cumulative effects of gender bias are higher when the attrition rate is lower, (b) gender biases are mitigated when attrition is more strongly associated with good or poor performance, and (c) the cumulative effects of mean gender differences in performance ratings can often be smaller than the cumulative effects of variance differences between gender subgroups. Results suggest that talent development and recognition of high performers might have a greater positive impact on female representation at top levels of a firm than programs aimed at reducing bias in employee evaluations. We encourage additional simulation work that further explores the dynamics of cumulative advantage in employment settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Towards a unified ontology of cybernetics: bridging mechanology and CAS for cooperative societies through thematic synthesis

PurposeThis paper aims to conceptually unite an ontology of cybernetics, bridging living and technical systems, to facilitate future epistemological and theoretical advancements applicable to highly technical societies by crafting a set of definitions that elucidate the nature of the world in which these systems operate.Design/methodology/approachThe research uses a thematic synthesis of two systems/cybernetic traditions: complex adaptive systems and mechanology. The primary sources for this research were the main theses and correlated papers published in the Simondon case for mechanology, and the seminal literature preselected by the Santa Fe Institute for complex adaptive systems.FindingsThe study proposes the following concepts: Individuation: the emergence of new properties in an individual composed of synergistically related parts; Technical evolution: the notion that technical objects evolve into living beings; circular causality: the notion that feedback and feedforward processes shape the organisation and structure of systems and their relationship with the environment; The milieu refers to the part of the environment that has a relationship of co-production, co-dependency, and co-evolution with systems. Metastability is a state that transcends stability and instability and motivates changes in the system. Transduction is the cumulative process of individuation in which systems change structure and organization to maintain operational coherence with their surroundings.Originality/valueThe concepts the paper identifies can serve as a starting point for an extended study on the ontology of cybernetics or as the basis for an evolutionary epistemology both in humans and machines.

Integrated Neural Network Approach for Enhanced Vital Signal Analysis Using CW Radar

This study introduces a novel approach for analyzing vital signals using continuous-wave (CW) radar, employing an integrated neural network model to overcome the limitations associated with traditional step-by-step signal processing methods. Conventional methods for vital signal monitoring, such as electrocardiograms (ECGs) and sphygmomanometers, require direct contact and impose constraints on specific scenarios. Conversely, our study primarily focused on non-contact measurement techniques, particularly those using CW radar, which is known for its simplicity but faces challenges such as noise interference and complex signal processing. To address these issues, we propose a temporal convolutional network (TCN)-based framework that seamlessly integrates noise removal, demodulation, and fast Fourier transform (FFT) processes into a single neural network. This integration minimizes cumulative errors and processing time, which are common drawbacks of conventional methods. The TCN was trained using a dataset comprising preprocessed in-phase and quadrature (I/Q) signals from the CW radar and corresponding heart rates measured via ECG. The performance of the proposed method was evaluated based on the L1 loss and accuracy against the moving average of the estimated heart rates. The results indicate that the proposed approach has the potential for efficient and accurate non-contact vital signal analysis, opening new avenues in health monitoring and medical research. Additionally, the integration of CW radar and neural networks in our framework offers a robust and scalable solution, enhancing the practicality of non-contact health monitoring systems in diverse environments. This technology can be leveraged in healthcare robots to provide continuous and unobtrusive monitoring of patients’ vital signs, enabling timely interventions and improving overall patient care.

Housing Market Appreciation and the White-Black Wealth Gap

Abstract Real house prices in the United States have risen by 55 percent over the last four decades, driving substantial wealth benefits to homeowners. However, research has not explored how this rise in house prices has affected White-Black wealth gaps, or the mechanisms that may underlie this relationship. Using geocoded longitudinal household-level wealth data from the Panel Study of Income Dynamics and tract-level house price index data, I estimate that housing market appreciation between 1984 and 2021 explains 70 percent of the increase in the median White-Black wealth gap over this period. I find that most of this effect is due to White-Black gaps in homeownership, with White-Black gaps in house values playing a smaller role. In contrast to recent findings about racialized housing markets, I do not find that gaps in neighborhood house price appreciation between White and Black homeowners contributed to White-Black wealth gaps in the 2000s and 2010s. These results highlight the importance of cumulative advantage processes in driving wealth inequalities and demonstrate how the legacies of institutional racism contribute to contemporary racial wealth gaps.

Methods to Increase Reliability in Quality Improvement Projects.

Although many quality improvement initiatives in health care see early and laudable success, 1 of the greatest challenges is sustaining the gains and avoiding the natural tendency of systems to revert to their original state, function, and outcomes. Reliability science describes a mathematical and systematic framework for understanding the level of reliability of interventions, and therefore the anticipated success and failure rate of both the steps of a process and the cumulative process overall. Successful utilization of this framework, along with the mindful organizing principles of high-reliability organizations, will facilitate ongoing and long-lasting improvement in outcomes. In this article, we describe practical methods to increase the reliability of interventions toward achieving and sustaining improvement goals.

Heterogeneous pathways of technological change in marginalised rural areas: the case for fuller accounts of adoption

ABSTRACT Dynamic and cumulative processes shaping technology adoption receive less attention in agricultural research compared to snapshot analyses of its determinants. We address this through theory-driven evaluation and the Propositions, Encounters, Dispositions and Responses framework. In 2005, research institutes introduced improved cassava varieties (ICVs) in East Cameroon. In the following decade, economic transformations brought in new development actors who revived their circulation. The interactions and actors who intervened in a relatively short period and the diversity of adoption pathways in a relatively small area highlight the complexity of technological change. Learning-oriented, systemic and systematic evaluations are needed for fuller adoption accounts.