Critical success index or F measure to validate the accuracy of administrative healthcare data identifying epilepsy in deceased adults in Scotland.

BACKGROUND: Methods to undertake diagnostic accuracy studies of administrative epilepsy data are challenged by lack of a way to reliably rank case-ascertainment algorithms in order of their accuracy. This is because it is difficult to know how to prioritise positive predictive value (PPV) and sensitivity (Sens). Large numbers of true negative (TN) instances frequently found in epilepsy studies make it difficult to discriminate algorithm accuracy on the basis of negative predictive value (NPV) and specificity (Spec) as these become inflated (usually >90%). This study demonstrates the complementary value of using weather forecasting or machine learning metrics critical success index (CSI) or F measure, respectively, as unitary metrics combining PPV and sensitivity. We reanalyse data published in a diagnostic accuracy study of administrative epilepsy mortality data in Scotland. METHOD: CSI was calculated as 1/[(1/PPV) + (1/Sens) - 1]. F measure was calculated as 2.PPV.Sens/(PPV + Sens). CSI and F values range from 0 to 1, interpreted as 0 = inaccurate prediction and 1 = perfect accuracy. The published algorithms were reanalysed using these and their accuracy re-ranked according to CSI in order to allow comparison to the original rankings. RESULTS: CSI scores were conservative (range 0.02-0.826), always less than or equal to the lower of the corresponding PPV (range 39-100%) and sensitivity (range 2-93%). F values were less conservative (range 0.039-0.905), sometimes higher than either PPV or sensitivity, but were always higher than CSI. Low CSI and F values occurred when there was a large difference between PPV and sensitivity, e.g. CSI was 0.02 and F was 0.039 in an instance when PPV was 100% and sensitivity was 2%. Algorithms with both high PPV and sensitivity performed best in terms of CSI and F measure, e.g. CSI was 0.826 and F was 0.905 in an instance when PPV was 90% and sensitivity was 91%. CONCLUSION: CSI or F measure can combine PPV and sensitivity values into a convenient single metric that is easier to interpret and rank in terms of diagnostic accuracy than trying to rank diagnostic accuracy according to the two measures themselves. CSI or F prioritise instances where both PPV and sensitivity are high over instances where there are large differences between PPV and sensitivity (even if one of these is very high), allowing diagnostic accuracy thresholds based on combined PPV and sensitivity to be determined. Therefore, CSI or F measures may be helpful complementary metrics to report alongside PPV and sensitivity in diagnostic accuracy studies of administrative epilepsy data.

Decoding plant specialized metabolism: new mechanistic insights.

Secondary metabolite (SM) production provides biotic and abiotic stress resistance and enables plants to adapt to the environment. Biosynthesis of these metabolites involves a complex interplay between transcription factors (TFs) and regulatory elements, with emerging evidence suggesting an integral role for chromatin dynamics. Here we review key TFs and epigenetic regulators that govern SM biosynthesis in different contexts. We summarize relevant emerging technologies and results from the model species arabidopsis (Arabidopsis thaliana) and outline aspects of regulation that may also function in food, feed, fiber, oil, or industrial crop plants. Finally, we highlight how effective translation of fundamental knowledge from model to non-model species can benefit understanding of SM production in a variety of ecological, agricultural, and pharmaceutical contexts.

Dry beans (Phaseolus vulgaris L.) modulate the kinetics of lipid digestion in vitro: Impact of the bean matrix and processing.

The lipid-lowering effect of dry beans and their impact on lipid and cholesterol metabolism have been established. This study investigates the underlying mechanisms of this effect and explore how the structural integrity of processed beans influences their ability to modulate lipolysis using the INFOGEST static in vitro digestion model. Dietary fiber (DF) fractions were found to decrease lipolysis by increasing the digesta viscosity, leading to depletion-flocculation and/or coalescence of lipid droplets. Bean flours exhibited a more pronounced reduction in lipolysis compared to DF. Furthermore, different levels of bean structural integrity showed varying effects on modulating lipolysis, with medium-sized bean particles demonstrating a stronger reduction. Hydrothermal treatment compromised the ability of beans to modulate lipid digestion, while hydrostatic-pressure treatment (600 MPa/5min) enhanced the effect. These findings highlight that the lipid-lowering effect of beans is not solely attributed to DF but also to the overall bean matrix, which can be manipulated through processing techniques.

Sustaining and Inspiring the Capacity of the Nursing Profession: The Case for Transformative Practice Education Models.

Decades of commissioned reports have pointed to solutions for nurturing nursing practice environments as essential to sustaining a nursing workforce. Beyond salary compensation and other solutions, we discuss the critical need for collaborative leadership in practice and education as a priority policy agenda aimed at confronting the shortage of nurses. The COVID-19 pandemic has intensified the nursing shortage and shortage of capacity in practice education, and we explore some learning in this context. Our paper draws on two initiatives in the province of British Columbia: the development of a transformative practice education model and an expanded Collaborative Learning Unit initiative. We propose building the following learning cultures: formal collaborative governance processes, intentional supports for graduate transitions and implementation of advanced nursing practice leadership and educator roles across the system. While transformative solutions are a tough sell in crisis-oriented contexts, this paper is a call for nurse leaders in all sectors to advance deep policy solutions with lasting impact on sustainable nursing human resources.

Quantitative texture analysis comparison of three legumes.

A validated texture-analysis method to evaluate product quality in frozen or cooked legumes is needed to support high-quality vegetable production but is not currently established in the literature. Peas, lima beans, and edamame were investigated in this study due to similar market use as well as growth in plant-based protein consumption in the United States. These three legumes were evaluated after three different processing treatments (blanch/freeze/thaw (BFT); BFT+microwave heat (BFT+M); BF+stove-top cooking (BF+C)), using both compression and puncture analysis following an American Society of Agricultural and Biological Engineers (ASABE) texture analysis method and moisture testing following an American Society for Testing and Materials (ASTM) standard method. Texture analysis results showed differences between legumes and processing methods. Compression analysis identified more differences between treatments within product type than puncture for both edamame and lima beans indicating compression might be more sensitive to texture changes in these products. Implementation of a standard texture method for legume vegetables for growers and producers would provide a consistent quality check to support efficient production of high-quality legumes. Due to the sensitivity obtained from the compression texture method in this work, compression should be considered for future research into a robust method to evaluate edamame and lima bean textures throughout the growing and production processes.

Epilepsy-related mortality during the COVID-19 pandemic: A nationwide study of routine Scottish data.

OBJECTIVE: To examine whether epilepsy-related deaths increased during the COVID-19 pandemic and if the proportion with COVID-19 listed as the underlying cause is different between people experiencing epilepsy-related deaths and those experiencing deaths unrelated to epilepsy. METHODS: This was a Scotland-wide, population-based, cross-sectional study of routinely-collected mortality data pertaining to March-August of 2020 (COVID-19 pandemic peak) compared to the corresponding periods in 2015-2019. ICD-10-coded causes of death of deceased people of any age were obtained from a national mortality registry of death certificates in order to identify those experiencing epilepsy-related deaths (coded G40-41), deaths with COVID-19 listed as a cause (coded U07.1-07.2), and deaths unrelated to epilepsy (death without G40-41 coded). The number of epilepsy-related deaths in 2020 were compared to the mean observed through 2015-2019 on an autoregressive integrated moving average (ARIMA) model (overall, men, women). Proportionate mortality and odds ratios (OR) for deaths with COVID-19 listed as the underlying cause were determined for the epilepsy-related deaths compared to deaths unrelated to epilepsy, reporting 95% confidence intervals (CIs). RESULTS: A mean number of 164 epilepsy-related deaths occurred through March-August of 2015-2019 (of which a mean of 71 were in women and 93 in men). There were subsequently 189 epilepsy-related deaths during the pandemic March-August 2020 (89 women, 100 men). This was 25 more epilepsy-related deaths (18 women, 7 men) compared to the mean through 2015-2019. The increase in women was beyond the mean year-to-year variation seen in 2015-2019. Proportionate mortality with COVID-19 listed as the underlying cause was similar between people experiencing epilepsy-related deaths (21/189, 11.1%, CI 7.0-16.5%) and deaths unrelated to epilepsy (3,879/27,428, 14.1%, CI 13.7-14.6%), OR 0.76 (CI 0.48-1.20). Ten of 18 excess epilepsy-related deaths in women had COVID-19 listed as an additional cause. CONCLUSIONS: There is little evidence to suggest there have been any major increases in epilepsy-related deaths in Scotland during the COVID-19 pandemic. COVID-19 is a common underlying cause of both epilepsy-related and unrelated deaths.

Nursing the Nuu-chah-nulth Way: Communities Driving Nursing Policy Priorities.

Rural and remote Indigenous communities face unique challenges, and they must drive solutions for sustaining and maintaining distinct nursing practices. Resourcing Indigenous community needs and aspirations for health depends on sustainable funding and an appropriately resourced nursing workforce. An Indigenous community-engaged research team led a program of study exploring Indigenous systems of care with three distinct communities. We used Indigenous research methodologies to identify obstacles to care and ways to advance nursing and healthcare delivery according to unique values and demographical and geographical influences. Using a collaborative analysis approach with communities, we identified themes related to resourcing nursing positions, supporting nursing education and valuing nursing influence in determining program priorities. The voice of the community in research is a powerful force for advocacy, ensuring that nurses are supported in relationships with communities and in designing programs that fit the community's vision for health and wellness. We recognize the essential contributions of nurse leaders to policy processes in formulating and coordinating ideas for program redesign across and within levels of organizations for health and social justice impacts. We conclude our paper by noting implications for nursing leadership in diverse settings with the goal of sustaining a nursing workforce to provide culturally safe, wellness-focused care.

Screening for anxiety, depression and suicidality by epilepsy specialists in adult services in Scotland.

OBJECTIVE: Clinical guidelines recommend screening people with epilepsy (PWE) regularly for mental distress, but it is unclear how guidelines are implemented. We surveyed epilepsy specialists in adult Scottish services to determine approaches used to screen for anxiety, depression, and suicidality; the perceived difficulty of screening; factors associated with intention to screen; and treatment decisions made following positive screens. METHODS: An anonymous email-based questionnaire survey of epilepsy nurses and epilepsy neurology specialists (n = 38) was conducted. RESULTS: Two in every three specialists used a systematic screening approach; a third did not. Clinical interview was employed more often than standardized questionnaire. Clinicians reported positive attitudes towards screening but found screening difficult to implement. Intention to screen was associated with favorable attitude, perceived control, and social norm. Pharmacological and non-pharmacological interventions were proposed equally often for those screening positive for anxiety or depression. CONCLUSION: Routine screening for mental distress is carried out in Scottish epilepsy treatment settings but is not universal. Attention should be paid to clinician factors associated with screening, such as intention to screen and resulting treatment decisions. These factors are potentially modifiable, offering a means of closing the gap between guideline recommendations and clinical practice.

Using Critical Success Index or Gilbert Skill Score as composite measures of positive predictive value and sensitivity in diagnostic accuracy studies: Weather forecasting informing epilepsy research.

The Critical Success Index (CSI) and Gilbert Skill score (GS) are verification measures that are commonly used to check the accuracy of weather forecasting. In this article, we propose that they can also be used to simplify the joint interpretation of positive predictive value (PPV) and sensitivity estimates across diagnostic accuracy studies of epilepsy data. This is because CSI and GS each provide a single measure that takes the weather forecasting equivalent of PPV and sensitivity into account. We have re-analysed data from our recent systematic review of diagnostic accuracy studies of administrative epilepsy data using CSI and GS. We summarise the results and benefits of this approach.

Questionnaire-based screening for mental distress in epilepsy: Outline and feasibility of an outpatient screening and intervention pathway.

OBJECTIVE: Mental distress is present in a significant proportion of people with epilepsy (PWE), with a negative impact across life domains. It is underdiagnosed and under-treated despite guidelines recommending screening for its presence (e.g., SIGN, 2015). We describe a tertiary-care epilepsy mental distress screening and treatment pathway, with a preliminary investigation of its feasibility. METHODS: We selected psychometric screening instruments for depression, anxiety, quality of life (QOL), and suicidality, establishing treatment options matched to instrument scores on the Patient Health Questionnaire 9 (PHQ-9), along 'traffic light' lines. We determined feasibility outcomes including recruitment and retention rates, resources required to run the pathway, and level of psychological need. We undertook a preliminary investigation of change in distress scores over a 9-month interval and determined PWE engagement and the perceived usefulness of pathway treatment options. RESULTS: Two-thirds of eligible PWE were included in the pathway with an 88% retention rate. At the initial screen, 45.8% of PWE required either an 'Amber-2' intervention (for moderate distress) or a 'Red' one (for severe distress). The equivalent figure at the 9-month re-screen was 36.8%, reflective of an improvement in depression and QOL scores. Online charity-delivered well-being sessions and neuropsychology were rated highly for engagement and perceived usefulness, but computerized cognitive behavioral therapy was not. The resources required to run the pathway were modest. CONCLUSION: Outpatient mental distress screening and intervention are feasible in PWE. The challenge is to optimize methods for screening in busy clinics and to determine the best (and most acceptable) interventions for screening positive PWE.

3' Untranslated Region Structural Elements in CYP24A1 Are Associated With Infantile Hypercalcemia Type 1.

Loss-of-function mutations in the CYP24A1 protein-coding region causing reduced 25 hydroxyvitamin D (25OHD) and 1,25 dihydroxyvitamin D (1,25(OH)2 D) catabolism have been observed in some cases of infantile hypercalcemia type 1 (HCINF1), which can manifest as nephrocalcinosis, hypercalcemia and adult-onset hypercalciuria, and renal stone formation. Some cases present with apparent CYP24A1 phenotypes but do not exhibit pathogenic mutations. Here, we assessed the molecular mechanisms driving apparent HCINF1 where there was a lack of CYP24A1 mutation. We obtained blood samples from 47 patients with either a single abnormality of no obvious cause or a combination of hypercalcemia, hypercalciuria, and nephrolithiasis as part of our metabolic and stone clinics. We used liquid chromatography tandem mass spectrometry (LC-MS/MS) to determine serum vitamin D metabolites and direct sequencing to confirm CYP24A1 genotype. Six patients presented with profiles characteristic of altered CYP24A1 function but lacked protein-coding mutations in CYP24A1. Analysis upstream and downstream of the coding sequence showed single nucleotide variants (SNVs) in the CYP24A1 3' untranslated region (UTR). Bioinformatics approaches revealed that these 3' UTR abnormalities did not result in microRNA silencing but altered the CYP24A1 messenger RNA (mRNA) secondary structure, which negatively impacted translation. Our experiments showed that mRNA misfolding driven by these 3' UTR sequence-dependent structural elements was associated with normal 25OHD but abnormal 1,25(OH)2 D catabolism. Using CRISPR-Cas9 gene editing, we developed an in vitro mutant model for future CYP24A1 studies. Our results form a basis for future studies investigating structure-function relationships and novel CYP24A1 mutations producing a semifunctional protein. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Case-control study developing Scottish Epilepsy Deaths Study Score to predict epilepsy-related death.

This study aimed to develop a risk prediction model for epilepsy-related death in adults. In this age- and sex-matched case-control study, we compared adults (aged ≥16 years) who had epilepsy-related death between 2009 and 2016 to living adults with epilepsy in Scotland. Cases were identified from validated administrative national datasets linked to mortality records. ICD-10 cause-of-death coding was used to define epilepsy-related death. Controls were recruited from a research database and epilepsy clinics. Clinical data from medical records were abstracted and used to undertake univariable and multivariable conditional logistic regression to develop a risk prediction model consisting of four variables chosen a priori. A weighted sum of the factors present was taken to create a risk index-the Scottish Epilepsy Deaths Study Score. Odds ratios were estimated with 95% confidence intervals (CIs). Here, 224 deceased cases (mean age 48 years, 114 male) and 224 matched living controls were compared. In univariable analysis, predictors of epilepsy-related death were recent epilepsy-related accident and emergency attendance (odds ratio 5.1, 95% CI 3.2-8.3), living in deprived areas (odds ratio 2.5, 95% CI 1.6-4.0), developmental epilepsy (odds ratio 3.1, 95% CI 1.7-5.7), raised Charlson Comorbidity Index score (odds ratio 2.5, 95% CI 1.2-5.2), alcohol abuse (odds ratio 4.4, 95% CI 2.2-9.2), absent recent neurology review (odds ratio 3.8, 95% CI 2.4-6.1) and generalized epilepsy (odds ratio 1.9, 95% CI 1.2-3.0). Scottish Epilepsy Deaths Study Score model variables were derived from the first four listed before, with Charlson Comorbidity Index ≥2 given 1 point, living in the two most deprived areas given 2 points, having an inherited or congenital aetiology or risk factor for developing epilepsy given 2 points and recent epilepsy-related accident and emergency attendance given 3 points. Compared to having a Scottish Epilepsy Deaths Study Score of 0, those with a Scottish Epilepsy Deaths Study Score of 1 remained low risk, with odds ratio 1.6 (95% CI 0.5-4.8). Those with a Scottish Epilepsy Deaths Study Score of 2-3 had moderate risk, with odds ratio 2.8 (95% CI 1.3-6.2). Those with a Scottish Epilepsy Deaths Study Score of 4-5 and 6-8 were high risk, with odds ratio 14.4 (95% CI 5.9-35.2) and 24.0 (95% CI 8.1-71.2), respectively. The Scottish Epilepsy Deaths Study Score may be a helpful tool for identifying adults at high risk of epilepsy-related death and requires external validation.

Reference genes for quantitative Arabidopsis single molecule RNA fluorescence in situ hybridization.

Subcellular mRNA quantities and spatial distributions are fundamental for driving gene regulatory programmes. Single molecule RNA fluorescence in situ hybridization (smFISH) uses fluorescent probes to label individual mRNA molecules, thereby facilitating both localization and quantitative studies. Validated reference mRNAs function as positive controls and are required for calibration. Here we present selection criteria for the first set of Arabidopsis smFISH reference genes. Following sequence and transcript data assessments, four mRNA probe sets were selected for imaging. Transcript counts per cell, correlations with cell size, and corrected fluorescence intensities were all calculated for comparison. In addition to validating reference probe sets, we present sample preparation steps that can retain green fluorescent protein fluorescence, thereby providing a method for simultaneous RNA and protein detection. In summary, our reference gene analyses, modified protocol, and simplified quantification method together provide a firm foundation for future quantitative single molecule RNA studies in Arabidopsis root apical meristem cells.

RNA G-quadruplex structure contributes to cold adaptation in plants.

Nucleotide composition is suggested to infer gene functionality and ecological adaptation of species to distinct environments. However, the underlying biological function of nucleotide composition dictating environmental adaptations is largely unknown. Here, we systematically analyze the nucleotide composition of transcriptomes across 1000 plants (1KP) and their corresponding habitats. Intriguingly, we find that plants growing in cold climates have guanine (G)-enriched transcriptomes, which are prone to forming RNA G-quadruplex structures. Both immunofluorescence detection and in vivo structure profiling reveal that RNA G-quadruplex formation in plants is globally enhanced in response to cold. Cold-responsive RNA G-quadruplexes strongly enhanced mRNA stability, rather than affecting translation. Disruption of individual RNA G-quadruplex promotes mRNA decay in the cold, leading to impaired plant cold response. Therefore, we propose that plants adopted RNA G-quadruplex structure as a molecular signature to facilitate their adaptation to the cold during evolution.

Embedding a Global Perspective into Canadian Nursing's Policy Priorities: Observations from the International Council of Nurses' 2021 Congress.

Nursing is a global profession, and the COVID-19 pandemic has illustrated just how interconnected and interdependent nursing and health systems are across jurisdictions. The International Council of Nurses (ICN) is a federation of more than 130 national nursing associations and serves as a key policy voice at the global level. Every two years, their congress brings together thousands of nurses and stakeholders to share and disseminate knowledge. Although Canadian presence has historically been strong in these global fora, there is a lack of literature that focuses on discussing the implications of these global discussions on Canadian nurses' policy and advocacy engagement. In this article, we provide a framework of key policy themes as observed during the ICN's 2021 virtual congress. We discuss how these global policy themes align with Canadian nursing, health and public policy priorities and conclude with questions to guide nurses in embedding a global perspective into their research, policy, education and practice initiatives.

Plant genetic effects on microbial hubs impact host fitness in repeated field trials.

Although complex interactions between hosts and microbial associates are increasingly well documented, we still know little about how and why hosts shape microbial communities in nature. In addition, host genetic effects on microbial communities vary widely depending on the environment, obscuring conclusions about which microbes are impacted and which plant functions are important. We characterized the leaf microbiota of 200 Arabidopsis thaliana genotypes in eight field experiments and detected consistent host effects on specific, broadly distributed microbial species (operational taxonomic unit [OTUs]). Host genetic effects disproportionately influenced central ecological hubs, with heritability of particular OTUs declining with their distance from the nearest hub within the microbial network. These host effects could reflect either OTUs preferentially associating with specific genotypes or differential microbial success within them. Host genetics associated with microbial hubs explained over 10% of the variation in lifetime seed production among host genotypes across sites and years. We successfully cultured one of these microbial hubs and demonstrated its growth-promoting effects on plants in sterile conditions. Finally, genome-wide association mapping identified many putatively causal genes with small effects on the relative abundance of microbial hubs across sites and years, and these genes were enriched for those involved in the synthesis of specialized metabolites, auxins, and the immune system. Using untargeted metabolomics, we corroborate the consistent association between variation in specialized metabolites and microbial hubs across field sites. Together, our results reveal that host genetic variation impacts the microbial communities in consistent ways across environments and that these effects contribute to fitness variation among host genotypes.

Oncology Training Needs Assessment Among Health Care Professionals in Nigeria.

PURPOSE: This study investigated the status of training and preparedness for oncology practice and research and degree of interprofessional collaboration among health care professionals in the six geopolitical regions of Nigeria. METHODS: A convergent parallel mixed methods design was used. Three hundred seventeen respondents completed a three-part, online questionnaire. Self-rated competencies in oncology research (26 items), oncology practice (16 items), and interprofessional collaboration (nine items) were assessed with a one- to five-point Likert scale. Six key informant and 24 in-depth interviews were conducted. Descriptive statistics, analysis of variance, and pairwise t-test were used to analyze the quantitative data, whereas thematic analysis was used for the qualitative data. RESULTS: Respondents were mostly female (65.6%) with a mean age of 40.5 ± 8.3 years. Respondents include 178 nurses (56.2%), 93 medical doctors (29.3%), and 46 pharmacists (14.5%). Self-assessed competencies in oncology practice differed significantly across the three groups of health care professionals (F = 4.789, P = .009). However, there was no significant difference across professions for competency in oncology research (F = 1.256, P = .286) and interprofessional collaboration (F = 1.120, P = .327). The majority of respondents (267, 82.4%) felt that educational opportunities in oncology-associated research in the country are inadequate and that this has implications for practice. Key training gaps reported include poor preparedness in data analysis and bioinformatics (138, 43.5%), writing clinical trials (119, 37.5%), and writing grant/research proposals (105, 33.1%). Challenges contributing to gaps in cancer research include few trained oncology specialists, low funding for research, and inadequate interprofessional collaboration. CONCLUSION: This study highlights gaps in oncology training and practice and an urgent need for interventions to enhance interprofessional training to improve quality of cancer care in Nigeria. These would accelerate progress toward strengthening the health care system and reducing global disparities in cancer outcomes.

Lactoferrin supplementation for taste and smell abnormalities among patients receiving cancer chemotherapy.

PURPOSE: Taste and smell abnormalities (TSA) are common in patients receiving chemotherapy and may lead to altered nutritional intake, treatment withdrawal, and impaired quality of life. Lipid peroxidation in the oral cavity is one cause of TSA. Lactoferrin (LFN), an iron-binding salivary protein, reduces production of lipid oxidation byproducts and has been shown to reduce perception of unpleasant flavors. To assess the feasibility of LFN as a treatment for TSA, we conducted pilot investigations among patients with cancer who self-reported TSA following onset of chemotherapy. The primary objective was to assess change in subjective taste and smell perception from baseline to completion of 30 days of LFN supplementation. METHODS: Patients were treated with 750 mg LFN daily for 30 days and followed for an additional 30 days without LFN. TSA was measured via the taste and smell questionnaire (TSQ) including taste (score 0-10), smell (score 0-6), and composite scores (0-16) (0 = no TSA) at baseline, day 30, and day 60. RESULTS: A total of 26 patients enrolled; 19 remained on study at day 30 and 17 at day 60. Baseline mean TSQ scores were 6.5 (taste), 3.1 (smell), and 9.6 (composite). By day 30, mean composite TSQ score improved by 1.7 (p = 0.018); taste and smell improved by 0.6 (p = 0.062) and 1.1 (p = 0.042), respectively. From baseline to day 60, mean composite TSQ score improved by 3.8 (p < 0.0001); taste and smell improved by 1.9 (p = 0.001) and 1.8 (p = 0.003). CONCLUSIONS: Further evaluation of LFN is warranted to determine its value for improving self-reported TSA among patients receiving chemotherapy.

Physical and chemical properties of edamame during bean development and application of spectroscopy-based machine learning methods to predict optimal harvest time.

This study aims to investigate the changes in physical and chemical properties of edamame during bean development and apply a spectroscopy-based machine learning (ML) technique to determine optimal harvest time. The edamame harvested at R5 (beginning seed), R6 (full seed), and R7 (beginning maturity) growth stages were characterized for physical and chemical properties, and pods were measured for spectral reflectance (360-740 nm) using a handheld spectrophotometer. The samples were categorized into 'early', 'ready', and 'late' based on the characterized properties. The results showed that pod/bean weight and pod thickness peaked at R6 and remained stable thereafter. Sugar, starch, alanine, and glycine also peaked at R6 but proceeded to decline. The ML method (random forest classification) using pods' spectral reflectance had a high accuracy of 0.95 for classifying 'early' and 'late' samples and 0.87 for classifying 'early' and 'ready' samples. Therefore, this method can determine the optimal harvest time of edamame.

Assessing the Role of Cyberbiosecurity in Agriculture: A Case Study.

Agriculture has adopted the use of smart technology to help meet growing food demands. This increased automation and associated connectivity increases the risk of farms being targeted by cyber-attacks. Increasing frequency of cybersecurity breaches in many industries illustrates the need for securing our food supply chain. The uniqueness of biological data, the complexity of integration across the food and agricultural system, and the importance of this system to the U.S. bioeconomy and public welfare suggests an urgency as well as unique challenges that are not common across all industries. To identify and address the gaps in awareness and knowledge as well as encourage collaborations, Virginia Tech hosted a virtual workshop consisting of professionals from agriculture, cybersecurity, government, and academia. During the workshop, thought leaders and influencers discussed 1) common food and agricultural system challenges, scenarios, outcomes and risks to various sectors of the system; 2) cyberbiosecurity strategies for the system, gaps in workforce and training, and research and policy needs. The meeting sessions were transcribed and analyzed using qualitative methodology. The most common themes that emerged were challenges, solutions, viewpoints, common vocabulary. From the results of the analysis, it is evident that none of the participating groups had available cybersecurity training and resources. Participants were uncertain about future pathways for training, implementation, and outreach related to cyberbiosecurity. Recommendations include creating training and education, continued interdisciplinary collaboration, and recruiting government involvement to speed up better security practices related to cyberbiosecurity.