Similar Processes Research Articles

Different sensory information is used for state estimation when stationary or moving.

The accurate estimation of limb state is necessary for movement planning and execution. While state estimation requires both feedforward and feedback information, we focus here on the latter. Prior literature has shown that integrating visual and proprioceptive feedback improves estimates of static limb position. However, differences in visual and proprioceptive feedback delays suggest that multisensory integration could be disadvantageous when the limb is moving. We formalized this hypothesis by modeling feedback-based state estimation using the longstanding maximum likelihood estimation model of multisensory integration, which we updated to account for sensory delays. Our model predicted that the benefit of multisensory integration was largely lost when the limb was passively moving. We tested this hypothesis in a series of experiments in human subjects that compared the degree of interference created by discrepant visual or proprioceptive feedback when estimating limb position either statically at the end of the movement or dynamically at movement midpoint. In the static case, we observed significant interference: discrepant feedback in one modality systematically biased sensory estimates based on the other modality. However, no interference was seen in the dynamic case: participants could ignore sensory feedback from one modality and accurately reproduce the motion indicated by the other modality. Together, these findings suggest that the sensory feedback used to compute a state estimate differs depending on whether the limb is stationary or moving. While the former may tend toward multimodal integration, the latter is more likely to be based on feedback from a single sensory modality.

Gene Co-Expression Analysis of Multiple Brain Tissues Reveals Correlation of FAM222A Expression with Multiple Alzheimer's Disease-Related Genes.

Alzheimer's disease (AD) is the most common form of dementia in the elderly marked by central nervous system (CNS) neuronal loss and amyloid plaques. FAM222A, encoding an amyloid plaque core protein, is an AD brain atrophy susceptibility gene that mediates amyloid-β aggregation. However, the expression interplay between FAM222A and other AD-related pathway genes is unclear. Our goal was to study FAM222A's whole-genome co-expression profile in multiple tissues and investigate its interplay with other AD-related genes. We analyzed gene expression correlations in Genotype-Tissue Expression (GTEx) tissues to identify FAM222A co-expressed genes and performed functional enrichment analysis on identified genes in CNS system. Genome-wide gene expression profiling identified 673 genes significantly correlated with FAM222A (p < 2.5×10-6) in 48 human tissues, including 298 from 13 CNS tissues. Functional enrichment analysis revealed that FAM222A co-expressed CNS genes were enriched in multiple AD-related pathways. Gene co-expression network analysis for identified genes in each brain region predicted other disease associated genes with similar biological function. Furthermore, co-expression of 25 out of 31 AD-related pathways genes with FAM222A was replicated in brain samples from 107 aged subjects from the Aging, Dementia and TBI Study. This gene co-expression study identified multiple AD-related genes that are associated with FAM222A, indicating that FAM222A and AD-associated genes can be active simultaneously in similar biological processes, providing evidence that supports the association of FAM222A with AD.

A cognitive-ecological approach to temporal self-appraisals.

We investigate self-appraisals over time using a cognitive-ecological approach. We assume that ecologically, negative person attributes are more diverse than positive ones, while positive person attributes are more frequent than negative ones. We combine these ecological properties with the cognitive process of similarity- and differences-based social comparisons to predict temporal self-appraisals. The resulting cognitive-ecological model predicts that people should evaluate similarities with themselves over time positively, whereas differences would be evaluated more negatively. However, because positive attributes are reinforced over time relative to negative attributes, we predicted an asymmetry to emerge such that distinct attributes of the past self (past differences) would be most negative. Six experiments (total N = 1,796) and an integrative data analysis confirmed the cognitive-ecological model's predictions for temporal self-appraisals. However, we found no evidence for motivated self-perception across time. We discuss the implications of these findings for temporal self-appraisal theory and other aspects of self and identity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Simulating small-scale dynamo action in cool main-sequence stars

Context. The origin of the ubiquitous small-scale magnetic field observed on the solar surface can be attributed to the presence of a small-scale dynamo (SSD) operating in the sub-surface layers of the Sun. It is expected that a similar process could self-sustain a considerable amount of magnetic energy also in the near-surface layers of cool main-sequence stars other than the Sun. Aims. In this paper the properties of the magnetic field resulting from SSD action operating in the near-surface layers of four cool main-sequence stars and its self-organization into magnetic flux concentrations are investigated numerically. Methods. Three-dimensional radiative magnetohydrodynamic simulations of SSD action in the near-surface layers of four cool main-sequence stars of spectral types K8V, K2V, G2V, and F5V are carried out with the CO5BOLD code. The simulations are set up to have approximately the same Reynolds and magnetic Reynolds numbers, and to disentangle the impact of the effective temperature and the surface gravity on the SSD action from numerical effects. Results. It is found that the SSD growth rates in SI units differ for the four stellar models; the highest and lowest growth rate is for the K2V and F5V model, respectively. This is due to the different turnover times in the four simulations. Even so, the SSD field strengths reached in the saturation phases are similar in all models, with the same amount of kinetic energy converted into magnetic energy. If the magnetic energy that is pumped out from the computational domain across the bottom boundary is partially replenished from outside of the computational domain, we find that the SSD action leads to a sufficient reduction in the convective velocities to reduce the convective horizontal length scales in the convection zone by 5–10%, vanishing towards the optical depth unity level. In this case, strong kilogauss magnetic flux concentrations emerge at the surface, leading to magnetic bright features, which are more numerous and conspicuous for the K2V and G2V models than for the K8V and F5V models. Their vertical magnetic field component on the surface of optical depth unity increases from 1 kG to 1.6 kG with decreasing effective temperature from F5V to K8V. However, more than 90% of the magnetic flux through any of these stellar surfaces has a field strength of less than 1 kG.

Processing Large‐Scale Archival Records: The Case of the Swiss Parliamentary Records

AbstractLegislative bodies generally keep records of their activities. While the digitization wave spurred the availability of archival documents, their processing remains a challenge. The Swiss parliamentary records are no exception.In this paper we present a supervised pipeline for extracting and structuring of content of archival records. Our pipeline consists of five steps, starting with an assessment of which elements need extraction and how they relate to each other. Step two involves general pre‐processing to prepare the PDF documents and is followed by an element classification step. Step four involves post‐processing and the final step is a validation of the extracted information. With our supervised approach, we are able to process over 200,000 pages of Swiss parliamentary records (spanning the years 1891–1995), a feat that would exceed the budget of most projects using manual curation. We discuss validation of individual steps and offer guidance to researchers engaged in similar data processing efforts.

Disenchanted With the Immigrant Dream: The Sociological Formation of Ex-Immigrant Subjectivity

AbstractAlthough many return migrants had planned to go back to their country of origin, other return migrants who had originally planned to pursue the immigrant dream––the idea that one can have a better life by migrating—eventually change their mind and return to their society of origin. Just as the identity of individuals must adjust to the loss of a relationship, job, or membership of a group, many formerly aspiring immigrants give up on immigrating. I analyze data from oral history interviews and social media narratives of 121 Chinese ex-immigrants from 16 different countries. I show how disappointments, the language barrier, cultural alienation, racial-ethnic discrimination, intersectional-gender issues, barriers to upward socioeconomic mobility, and/or restrictive immigration policies interact with each other to constitute ex-immigrant subjectivity. This article highlights why immigration is a far less certain process than many perceive it to be, contributing to the broader sociological literature on how in different and similar ways processes of abandoning important social endeavors, like a romantic partnership, political party, or religious faith, transform subjectivities and social identities in other domains of social life.

Depolymerization of PMMA-Based Dental Resin Scraps on Different Production Scales

This research explores the depolymerization of waste polymethyl methacrylate (PMMAW) from dental material in fixed bed semi-batch reactors, focusing on three production scales: laboratory, technical and pilot. The study investigates the thermal degradation mechanism and kinetics of PMMAW through thermogravimetric (TG) and differential scanning calorimetry (DSC) analyses, revealing a two-step degradation process. The heat flow during PMMAW decomposition is measured by DSC, providing essential parameters for designing pyrolysis processes. The results demonstrate the potential of DSC for energetic analysis and process design, with attention to standardization challenges. Material balance analysis across the production scales reveals a temperature gradient across the fixed bed negatively impacting liquid yield and methyl methacrylate (MMA) concentration. Reactor load and power load variables are introduced, demonstrating decreased temperature with increased process scale. The study identifies the influence of temperature on MMA concentration in the liquid fraction, emphasizing the importance of controlling temperature for efficient depolymerization. Furthermore, the research highlights the formation of aromatic hydrocarbons from the remaining char, indicating a shift in liquid composition during the depolymerization process. The study concludes that lower temperatures below 450 °C favor liquid fractions rich in MMA, suggesting the benefits of lower temperatures and slower heating rates in semi-batch depolymerization. The findings contribute to a novel approach for analyzing pyrolysis processes, emphasizing reactor design and economic considerations for recycling viability. Future research aims to refine and standardize the analysis and design protocols for pyrolysis and similar processes.

Identification and functional characterization of conserved cis-regulatory elements responsible for early fruit development in cucurbit crops.

A number of cis-regulatory elements (CREs) conserved during evolution have been found to be responsible for phenotypic novelty and variation. Cucurbit crops such as cucumber (Cucumis sativus), watermelon (Citrullus lanatus), melon (Cucumis melo), and squash (Cucurbita maxima) develop fruits from an inferior ovary and share some similar biological processes during fruit development. Whether conserved regulatory sequences play critical roles in fruit development of cucurbit crops remains to be explored. In six well-studied cucurbit species, we identified 392,438 conserved noncoding sequences (CNSs), including 82,756 that are specific to cucurbits, by comparative genomics. Genome-wide profiling of accessible chromatin regions (ACRs) and gene expression patterns mapped 20,865 to 43,204 ACRs and their potential target genes for two fruit tissues at two key developmental stages in six cucurbits. Integrated analysis of CNSs and ACRs revealed 4,431 syntenic orthologous CNSs, including 1,687 cucurbit-specific CNSs that overlap with ACRs that are present in all six cucurbit crops and that may regulate the expression of 757 adjacent orthologous genes. CRISPR mutations targeting two CNSs present in the 1,687 cucurbit-specific sequences resulted in substantially altered fruit shape and gene expression patterns of adjacent NAC1 (NAM, ATAF1/2, and CUC2) and EXT-like (EXTENSIN-like) genes, validating the regulatory roles of these CNSs in fruit development. These results not only provide a number of target CREs for cucurbit crop improvement, but also provide insight into the roles of CREs in plant biology and during evolution.

The Uprisings of Gaza: How Geopolitical Crises Have Reshaped Academic Communities from Tahrir to Kyiv

Abstract The Arab uprisings spawned a new body of theoretical, empirical, and methodological advances by political scientists of the Middle East. This essay reflects upon the contributions of the edited volume The Political Science of the Middle East: Theory and Research since the Arab Uprisings to address three occurring central issues at the intersection of regional studies and political science that are affected by geopolitical shocks: how shocks highlight previously neglected topics and actors; how they subsequently discredit and privilege certain disciplines and methods; and how they recast the role of academic research within global communities of knowledge and policy-making. Topics such as the adaptation of authoritarianism, the role of social media, and the onset of multipolar politics, addressed by the volume on the Middle East, are compared with similar processes that have informed the evolution of social science research in the post-Communist states. The final section reflects on how two contemporary conflicts—Russia's invasion of Ukraine and the Hamas-Israel conflict—have affected the American academy, including student protests at American universities, university policies, and academic freedom.

The influence of perceived social support on support seeking across individualistic/collectivistic employees

Greater perceived social support may influence an individual’s appraisals of their stressful situation, negative affect, and subsequent support seeking coping. An individual’s identification with the individualism-collectivism dimensions could also influence this process. We conducted structural equation modelling (AMOS) on archival data from two groups of adult workers from five countries, who were categorised by their scores on the individualism-collectivism dimensions: a highly individualistic group ( n = 424), and a highly collectivistic group ( n = 400). The analysis aimed to determine how levels of perceived support influenced appraisals of stress and negative affect experiences leading to the use of social support seeking for both groups. The process models representing the individualistic and collectivistic groups were compared to see whether stronger identification with individualism or collectivism resulted in a similar or different stress process. Although the conceptual models fit both groups similarly overall, there were differences between the groups regarding the indirect paths involved in the model, particularly relating to the influence of perceived support on appraisals of the threat of the stressor. Implications and applications of the findings are discussed.

Building your own mountain: the effects, limits, and drawbacks of cold-water coral ecosystem engineering

Abstract. Framework-forming cold-water corals (CWCs) are ecosystem engineers that build mounds in the deep sea that can be up to several hundred metres high. The effect of the presence of cold-water coral mounds on their surroundings is typically difficult to separate from environmental factors that are not affected by the mounds. We investigated the environmental control on and the importance of ecosystem engineering for cold-water coral reefs using annotated video transect data, spatial variables (MEMs), and hydrodynamic model outputs in a redundancy analysis and with variance partitioning. Using available hydrodynamic simulations with cold-water coral mounds and simulations where the mounds were artificially removed, we investigated the effect of coral mound ecosystem engineering on the spatial configuration of reef habitat and discriminated which environmental factors are and which are not affected by the mounds. We find that downward velocities in winter, related to non-engineered environmental factors, e.g. deep winter mixing and dense-water cascading, cause substantial differences in reef cover at the broadest spatial scale (20–30 km). Such hydrodynamic processes that stimulate the food supply towards the corals in winter seem more important for the reefs than cold-water coral mound engineering or similar hydrodynamic processes in summer. While the ecosystem-engineering effect of cold-water corals is frequently discussed, our results also highlight the importance of non-engineered environmental processes. We further find that, due to the interaction between the coral mound and the water flow, different hydrodynamic zones are found on coral mounds that likely determine the typical benthic zonations of coral rubble at the mound foot, the dead coral framework on the mound flanks, and the living corals near the summit. Moreover, we suggest that a so-called Massenerhebung effect (well known for terrestrial mountains) exists, meaning that benthic zonation depends on the location of the mound rather than on the height above the seafloor or water depth. Our finding that ecosystem engineering determines the configuration of benthic habitats on cold-water coral mounds implies that cold-water corals cannot grow at deeper depths on the mounds to avoid the adverse effects of climate change.

Reality Framing in Russian, English, and Chinese Phraseological Units with Flowers

Floriography is part of many cultures and provides an effective characterization means for a particular linguistic culture. The frame analysis method is a popular tool in phraseology, but it has never been applied to phraseological units with the flowers component. The study examined phraseological units with the flowers component in Russian, English, and Chinese in order to define their role in the corresponding linguistic worldviews. The frame organization analysis made it possible to identify the way these languages categorize reality. Phraseological units with flowers are more typical of Chinese and English; they are less typical of the Russian linguistic culture as a result of the harsh climatic conditions and the farming traditions. In this research, the frame analysis hinted at similar cognitive processes in all the three linguistic cultures, which was manifested as common subframes at all levels. The main subframes included characteristics of the subject, action aimed at the subject, qualitative assessment of reality, and evaluative characteristics of the action. In addition, flower names described different human qualities, characterized an ongoing event, and evaluated actions performed by the subject. Differences were registered at the slot level as a partially overlapping list of qualities, assessments, characteristics, and actions, which reflected the specifics of each national worldview. The results can facilitate intercultural communication for Russian, English, and Chinese speakers.

Configuring Taiwan’s highway bridge performance indicator: a semi-quantitative risk assessment approach

The Taiwan Bridge Management System (TBMS) calculates the condition index (CI) of every highway bridge in its inventory using the latest findings from biennial routine inspections. However, the computational approach for CI can yield skewed results and make a bridge appear healthier than it actually is. To address this issue, a highway bridge performance indicator called the bridge risk index (RI) is presented. The RI is determined by combining the risks associated with the failure of each bridge component, which are evaluated using a semi-quantitative risk assessment approach. This evaluation considers the probability and consequence of a bridge component’s failure as a function of a component's deterioration state and criticality to the bridge’s overall structural safety and serviceability, respectively. To validate the effectiveness of the RI, inspection data from a sample of seven highway bridges were extracted from the TBMS and used to compare the RI with the CI. The results showed that the RI and its associated parameters can mitigate the inherent issues observed with the CI. Hence, the RI has the potential to be a valuable decision-support tool for transport agencies that rely on similar routine inspection processes to enhance their bridge management systems.

Application of inverse weighting analysis to assess the association of youth perceptions with the age of initiation of tobacco products.

To examine if perceptions of harmfulness and addictiveness of hookah and cigarettes impact the age of initiation of hookah and cigarettes, respectively, among US youth. Youth (12-17 years old) users and never users of hookah and cigarettes during their first wave of PATH participation were analyzed by each tobacco product (TP) independently. The effect of perceptions of (i) harmfulness and (ii) addictiveness at the first wave of PATH participation on the age of initiation of ever use of hookah was estimated using interval-censoring Cox proportional hazards models. Users and never users of hookah at their first wave of PATH participation were balanced by multiplying the sampling weight and the 100 balance repeated replicate weights with the inverse probability weight (IPW). The IPW was based on the probability of being a user in their first wave of PATH participation. A Fay's factor of 0.3 was included for variance estimation. Crude hazard ratios (HR) and 95% confidence intervals (CIs) are reported. A similar process was repeated for cigarettes. Compared to youth who perceived each TP as "a lot of harm", youth who reported perceived "some harm" had younger ages of initiation of these tobacco products, HR: 2.53 (95% CI: 2.87-4.34) for hookah and HR: 2.35 (95% CI: 2.10-2.62) for cigarettes. Similarly, youth who perceived each TP as "no/little harm" had an earlier age of initiation of these TPs compared to those who perceived them as "a lot of harm", with an HR: 2.23 (95% CI: 1.82, 2.71) for hookah and an HR: 1.85 (95% CI: 1.72, 1.98) for cigarettes. Compared to youth who reported each TP as "somewhat/very likely" as their perception of addictiveness, youth who reported "neither likely nor unlikely" and "very/somewhat unlikely" as their perception of addictiveness of hookah had an older age of initiation, with an HR: 0.75 (95% CI: 0.67-0.83) and an HR: 0.55 (95% CI: 0.47, 0.63) respectively. Perceptions of the harmfulness and addictiveness of these tobacco products (TPs) should be addressed in education campaigns for youth to prevent early ages of initiation of cigarettes and hookah.

Where are we now? Evaluating the one year impact of an anti-racism curriculum review

Purpose Undergraduate medical education has had a call to action to acknowledge racist practices that are impacting learners throughout their training. In 2020, our school performed a detailed curricular review and provided recommendations to address racism in the curriculum. Many schools have now undergone a similar curricular review process, but little is known about whether suggested antiracist curricular changes impact faculty teaching behavior or the overall curriculum. Material and Methods In 2021, as part of the medical school’s annual educational quality improvement process, course directors were required to answer a question about the changes they made to address racism in their courses based on recommendations provided the year prior from an antiracism curricular review. The documented changes were analyzed for themes and then organized by course and curricular year. These changes were compared with the suggested recommendations to analyze the number and types of changes implemented after one year. To evaluate student perceptions of change the general comments from academic years 2019–2021 were reviewed. Results After 1 year, approximately, 74% of our school’s 328 anti-racism curricular review recommendations were implemented in courses. Over 80% were implemented in curricular year 1. The greatest number of recommendations implemented were related to the theme of critiquing the strength of evidence in race-based medical practices. The least amount change was made around the theme of challenging the biologic notion of race. Conclusions An antiracism curricular review followed by an embedded continuous quality improvement process can be an effective approach to address racism in medical school curricula. Addressing racism in medical education requires medical schools to regularly identify curricular gaps, faculty needs and monitor their progress.

Conductive nano-Al/polyaniline composites prepared via mechanical milling

The conductive nano-Al/polyaniline composites were prepared by the milling method in the solid state. Here, aluminum nanostructures were prepared in two different mechanical methods, wire drawing and wire milling in the presence of lubricant oil. The effects of the preparation methods on the structures and morphologies of aluminum nanostructures were investigated by XRD and FESEM. The results show that the shape and size of aluminum nanoparticles in the preparation by the wire drawing method are significantly different than the wire milling method. The aluminum nanostructures were prepared by milling method have flake-like nanosheets while the wire drawing method leads to the formation of spherical ultrafine nanoparticles, which particles size are in the range of 30–60 nm. Then, polyaniline was produced using a solid-state polymerization process by the chemical reaction between aniline hydrochloride and potassium peroxydisulfate. Finally, nano-Al/polyaniline composites were prepared by mechanical milling at room temperature. The quantitative analysis was carried out with the materials analysis using diffraction (MAUD) method and weight fraction for aluminum and PANI were calculated 6.66% and 93.34%, respectively. Electrical conductivity measurements show the conductivity (1.2 × 10−2 S cm−1 at 25 °C) for polyaniline emeraldine salt and (1.02 × 10−3 S cm−1 at 25 °C) in nanocomposite respectively. The results show that by adding aluminum nanoparticles to the polymer the conductivity of nanocomposite (Al/PANI-ES) is lower than that for pure (PANI-ES). Thermogravimetry and differential thermal analysis curves show pure (PANI-ES) and nanocomposite (Al/PANI-ES) have a similar thermal degradation process. The total weight loss in TG curve of pure PANI-ES, in the temperature range 45–800 °C is 46.28% but, total weight loss observed in nanocomposite is 38.67%. Therefore, nanocomposite has higher thermal stability than that of the pure PANI-ES.

A Crypto Yield Model for Staking Return

We introduce a model that derives a metric to answer the question: what is the expected gain of a staker? We calculate the rewards as the staking return in a Proof-of-Stake (PoS) consensus context. For each period of block validation and by a forward approach, we prove that the interest is given by the ratio of the average staking gain to the total staked coins. Some additional PoS features are considered in the model, such as slash rate and Maximal Extractable Value (MEV), which marks the originality of this approach. In particular, we prove that slashing diminishes the rewards, reflecting the fact that the blockchain can consider stakers to potentially validate incorrectly. Regarding MEV, the approach we have sheds light on the relation between transaction fees and the average staking gain. We illustrate the developed model with Ethereum 2.0 and apply a similar process in a Proof-of-Work consensus context.

Thermoplastic starch nanocomposites derived directly from cornmeal

A high content of water is needed in traditional thermoplastic starch (TPS) processing to plasticize the starch and facilitate the processing, which leads to relatively low strength and modulus of the products and causes the issue of product aging partially due to the gradual water loss over time. In this work, based on the results from our previous study on lignin and cellulose nanofibril-reinforced TPS composites, a low content of citric acid (&lt;0.5 wt%) was used to replace all the added water in the prior study (∼20 wt%). Citric acid demonstrated a much stronger viscosity-reducing effect than water and enabled composite processing at a very low acid content. The resultant nanocomposites exhibited much higher strength and modulus than those containing 20 wt% water as the processing aid. Fourier transform infrared spectrometry (FTIR) results showed strong interactions between the polar groups of starch and other ingredients. Scanning electron microscopy (SEM) photos indicated the disappearance of the two-phase “sea-island” morphology, suggesting the strong compatibilization effect of the acid. To lower the cost of the nanocomposites, we further replaced the starch and zein (an expensive biopolymer) components in the original composites with low-cost cornmeal. The new nanocomposites with cornmeal as the major ingredient exhibited similar processability and mechanical properties. With its low cost and high properties, this new type of agricultural byproduct-based nanocomposites is expected to be a promising material to replace synthetic polymers in many applications.

Designing a Tool to Support Online Physical Education

This design case details a seven-year iterative design process to create an app for use in online physical education classes. Each iteration addresses the shortcomings of the previous version. The most recent iteration of the app allows students to use Fitbit™ devices to record heart rate data, which each student sees as progress toward course goals on the homepage of the course. The current version of the app has evolved to provide a seamless student experience using a web application programming interface (API) and data standards such as learning tools interoperability (LTI). The student experience of using the app is thoroughly documented, as are design processes and principles for engaging in similar design processes.

Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort.

Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Early detection is important for timely intervention. This paper assesses the ability of a machine learning screening tool (MUST-Plus) implemented in registered dietitian (RD) workflow to identify malnourished patients early in the hospital stay and to improve the diagnosis and documentation rate of malnutrition. This retrospective cohort study was conducted in a large, urban health system in New York City comprising six hospitals serving a diverse patient population. The study included all patients aged ≥ 18 years, who were not admitted for COVID-19 and had a length of stay of ≤ 30 days. Of the 7736 hospitalisations that met the inclusion criteria, 1947 (25.2%) were identified as being malnourished by MUST-Plus-assisted RD evaluations. The lag between admission and diagnosis improved with MUST-Plus implementation. The usability of the tool output by RDs exceeded 90%, showing good acceptance by users. When compared pre-/post-implementation, the rate of both diagnoses and documentation of malnutrition showed improvement. MUST-Plus, a machine learning-based screening tool, shows great promise as a malnutrition screening tool for hospitalised patients when used in conjunction with adequate RD staffing and training about the tool. It performed well across multiple measures and settings. Other health systems can use their electronic health record data to develop, test and implement similar machine learning-based processes to improve malnutrition screening and facilitate timely intervention.