Nutritional analysis of five wild edible vegetables traditionally consumed by the Orang Asli in Perak

The significance of wild edible plants may be traced back to antiquity, and methodological studies are the focus of present food movements to restore culinary traditions. Ethnobotanical appraisal was first done to determine the names and the significance of the five wild edibles used by the Orang Asli, which were Erechtites valerianiaeolia (Link ex Spring) DC, Dendrocalamus asper (Schult.) Backer, Solanum nigrum L., Gomphandra quadrifida (Blume) Sleumer, and Pleocnemia irregularis (C. Presl) Holttum collected from Sungkai, Perak in Malaysia. These wild edibles were then assessed for their proximate and mineral compositions. The present study revealed that the fiber content present in these wild edibles ranged from 2.7 to 12.5 g/100 g, whereas the protein content ranged from 1.8 to 6.8 g/100 g with Gomphandra quadrifida containing the highest amount of fiber and Solanum nigrum recording the highest protein content among the 5 wild edibles. In regard to the micronutreint content, iron was the highest in Gomphandra quadrifida, followed by Pleocnemia irregularis. Calcium and magnesium contents were the highest in Solanum nigrum. The results obtained in this study echo the urgency to conserve these plants in order to promote consumption as well as to improve the health and nutritional status of the Orang Asli

The plight of the Orang Asli women in Malaysia promoting wild edible plants through street food

In the past, Orang Asli women and men were considered equal, even though their roles were very different. As modernization slowly crept into their lifestyles, the gender divide has gotten a lot bigger and the paternalistic culture has taken a hold of many. Some researchers have said the skewed depictions was influenced by both Christianity and Islam, whereby women were considered to be created by supernatural powers alongside the male species. However, there have been accounts of women being the village chief, but as more anthropologist targeted their research on the Orang asli, the role of a women in the decision making process slowly got relegated.Hence, this review aims to provide the role of Orang Asli women in educating the general public on the usage of wild edibles found in Malaysia and how it could be incorporated into street food to preserve traditional dietary culture. Some of the key challenges, plans and practical applications are discussed to improve rural development and prepare a holistic mediation guideline to buffer the health and safety of the population

Enhanced Water Quality Protection in Florida: An Analysis of the Regulatory and Practical Significance of an Outstanding Florida Water Designation

The Outstanding Florida Water (OFW) designation is the highest protection offered to a body of water by the state of Florida and is available only to those waters whose “natural attributes” warrant it. An OFW designation provides that water body with an antidegradation standard for certain activities affecting its water quality. Ordinarily, waters in Florida must meet the criteria established by rule for their respective class of water (based on the Florida water body classification system), regardless of existing water quality. Once a water body is designated as an OFW, however, a baseline water quality standard is set based on the ambient water quality of that particular water body. Because the OFW water quality standard may be higher than the rule-based water quality classification criteria, regulated activities that may affect the OFW are subject to additional scrutiny by regulatory agencies. In addition, those activities not necessarily occurring within an OFW, but that may “significantly degrade” an OFW, are subject to heightened scrutiny. The ability of current OFW regulation to fulfill the legislative intent behind the OFW designation remains uncertain. Judicial and administrative case law addressing OFWs provide little clear guidance in interpreting the statutory standards for the issuance of permits in or affecting OFWs, especially the “clearly in the public interest” standard. The Florida Department of Environmental Protection (FDEP) should consider adopting for the OFW Program the type of public interest benefits/costs balancing test currently provided for in Aquatic Preserves Program rules. This test creates a discernible distinction between the public interest standard for submerged lands activities that are within aquatic preserves as opposed to those occurring outside of the preserves. The effect of the OFW designation on water quality parameters subject to a narrative standard (nutrients), and on water quality parameters that are not currently established by rule (e.g. emerging pathogens of concern) has not been established. In addition OFWs do not appear to enjoy any special consideration as designated uses subject to impaired waters restoration. The definitions of non-degradation and of ambient water quality for the purposes of OFW designation should be amended to ensure that they contemplate degradation by contaminants other than the current rule–based list of water quality standards and criteria. The extent to which Best Management Practices (BMPs) for silviculture operations are sufficient to safeguard OFW water quality may require further research. In addition, the extent to which the OFW statute and rules recognize the ecological role and recreational value of riparian zones remains in question. This should be clarified by the FDEP

Active Selection of Classification Features

Some data analysis applications comprise datasets, where explanatory variables are expensive or tedious to acquire, but auxiliary data are readily available and might help to construct an insightful training set. An example is neuroimaging research on mental disorders, specifically learning a diagnosis/prognosis model based on variables derived from expensive Magnetic Resonance Imaging (MRI) scans, which often requires large sample sizes. Auxiliary data, such as demographics, might help in selecting a smaller sample that comprises the individuals with the most informative MRI scans. In active learning literature, this problem has not yet been studied, despite promising results in related problem settings that concern the selection of instances or instance-feature pairs. Therefore, we formulate this complementary problem of Active Selection of Classification Features (ASCF): Given a primary task, which requires to learn a model f: x-> y to explain/predict the relationship between an expensive-to-acquire set of variables x and a class label y. Then, the ASCF-task is to use a set of readily available selection variables z to select these instances, that will improve the primary task's performance most when acquiring their expensive features z and including them to the primary training set. We propose two utility-based approaches for this problem, and evaluate their performance on three public real-world benchmark datasets. In addition, we illustrate the use of these approaches to efficiently acquire MRI scans in the context of neuroimaging research on mental disorders, based on a simulated study design with real MRI data.Comment: Accepted for publication at the 19th Intelligent Data Analysis Symposium, 2021. The final authenticated publication will be made available online at springer.co

Defining the Incremental Utility of Prostate Multiparametric Magnetic Resonance Imaging at Standard and Specialized Read in Predicting Extracapsular Extension of Prostate Cancer

AbstractMultiparametric magnetic resonance imaging (mpMRI) is increasingly used in staging early prostate cancer (PCa) but remains heavily reader-dependent. We aim to define the incremental utility of mpMRI over clinical parameters in determining the pathologic extracapsular extension (pECE) of PCa interpreted in a standard radiologic setting and when further over-read by a specialized reader. We retrospectively reviewed 120 men with clinically localized PCa undergoing mpMRI and radical prostatectomy. We obtained radiologic prediction of pECE from standard radiologic reports (standard read) and by a specialized reader blinded to clinical and pathologic findings (specialized read). We determined the incremental benefit of standard read and specialized read by sequential addition to a baseline clinical parameters-only logistic regression model predicting pECE. The sensitivity and specificity of standard read were 77% and 44%, respectively, whereas those of specialized read were 86% and 81%. The positive likelihood ratio was 1.7 at baseline, 1.7 adding standard read, and 6.5 adding specialized read. The negative likelihood ratio was 0.6 at baseline, 0.5 adding standard read, and 0.1 adding specialized read. Standard read modestly improved prediction of pECE, whereas specialized read improved it moderately.Patient summaryThe incremental benefit of mpMRI over clinical information is small but increases to moderate with a specialized second opinion. This second opinion may be useful when considering active surveillance, nerve-sparing surgery, or focal therapy

The Relation Between Quasar and Merging Galaxy Luminosity Functions and the Merger-Induced Star Formation Rate of the Universe

Using a model for self-regulated growth of black holes (BHs) in mergers involving gas-rich galaxies, we study the relationship between quasars and the population of merging galaxies and predict the merger-induced star formation rate density of the Universe. Mergers drive nuclear gas inflows, fueling starbursts and 'buried quasars' until accretion feedback expels the gas, rendering a briefly visible optical quasar. Star formation is shut down and accretion declines, leaving a passively evolving remnant with properties typical of red, elliptical galaxies. Based on evolution of these events in our simulations, we demonstrate that the observed statistics of merger rates, luminosity functions (LFs) and mass functions, SFR distributions, specific SFRs, quasar and quasar host galaxy LFs, and elliptical/red galaxy LFs are self-consistent and follow from one another as predicted by the merger hypothesis. We use our simulations to de-convolve both quasar and merging galaxy LFs to determine the birthrate of black holes of a given final mass and merger rates as a function of stellar mass. We use this to predict the merging galaxy LF in several observed wavebands, color-magnitude relations, mass functions, absolute and specific SFR distributions and SFR density, and quasar host galaxy LFs, as a function of redshift from z=0-6. We invert this and predict e.g. quasar LFs from observed merger LFs or SFR distributions. Our results agree well with observations, but idealized models of quasar lightcurves are ruled out by comparison of merger and quasar observations at >99.9% confidence. Using only observations of quasars, we estimate the contribution of mergers to the SFR density of the Universe even to high redshifts z~4.Comment: 26 pages, 15 figures, matches version accepted to Ap

Interventions to improve water quality for preventing diarrhoea

Background Diarrhoea is a major cause of death and disease, especially among young children in low-income countries. In these settings, many infectious agents associated with diarrhoea are spread through water contaminated with faeces. In remote and low-income settings, source-based water quality improvement includes providing protected groundwater (springs, wells, and bore holes), or harvested rainwater as an alternative to surface sources (rivers and lakes). Point-of-use water quality improvement interventions include boiling, chlorination, flocculation, filtration, or solar disinfection, mainly conducted at home. Objectives To assess the effectiveness of interventions to improve water quality for preventing diarrhoea. Search methods We searched the Cochrane Infectious Diseases Group Specialized Register (11 November 2014), CENTRAL (the Cochrane Library, 7 November 2014), MEDLINE (1966 to 10 November 2014), EMBASE (1974 to 10 November 2014), and LILACS (1982 to 7 November 2014). We also handsearched relevant conference proceedings, contacted researchers and organizations working in the field, and checked references from identified studies through 11 November 2014. Selection criteria Randomized controlled trials (RCTs), quasi-RCTs, and controlled before-and-after studies (CBA) comparing interventions aimed at improving the microbiological quality of drinking water with no intervention in children and adults. Data collection and analysis Two review authors independently assessed trial quality and extracted data. We used meta-analyses to estimate pooled measures of effect, where appropriate, and investigated potential sources of heterogeneity using subgroup analyses. We assessed the quality of evidence using the GRADE approach. Main results Forty-five cluster-RCTs, two quasi-RCTs, and eight CBA studies, including over 84,000 participants, met the inclusion criteria. Most included studies were conducted in low- or middle-income countries (LMICs) (50 studies) with unimproved water sources (30 studies) and unimproved or unclear sanitation (34 studies). The primary outcome in most studies was self-reported diarrhoea, which is at high risk of bias due to the lack of blinding in over 80% of the included studies. Source-based water quality improvements There is currently insufficient evidence to know if source-based improvements such as protected wells, communal tap stands, or chlorination/filtration of community sources consistently reduce diarrhoea (one cluster-RCT, five CBA studies, very low quality evidence). We found no studies evaluating reliable piped-in water supplies delivered to households. Point-of-use water quality interventions On average, distributing water disinfection products for use at the household level may reduce diarrhoea by around one quarter (Home chlorination products: RR 0.77, 95% CI 0.65 to 0.91; 14 trials, 30,746 participants, low quality evidence; flocculation and disinfection sachets: RR 0.69, 95% CI 0.58 to 0.82, four trials, 11,788 participants, moderate quality evidence). However, there was substantial heterogeneity in the size of the effect estimates between individual studies. Point-of-use filtration systems probably reduce diarrhoea by around a half (RR 0.48, 95% CI 0.38 to 0.59, 18 trials, 15,582 participants, moderate quality evidence). Important reductions in diarrhoea episodes were shown with ceramic filters, biosand systems and LifeStraw® filters; (Ceramic: RR 0.39, 95% CI 0.28 to 0.53; eight trials, 5763 participants, moderate quality evidence; Biosand: RR 0.47, 95% CI 0.39 to 0.57; four trials, 5504 participants, moderate quality evidence; LifeStraw®: RR 0.69, 95% CI 0.51 to 0.93; three trials, 3259 participants, low quality evidence). Plumbed in filters have only been evaluated in high-income settings (RR 0.81, 95% CI 0.71 to 0.94, three trials, 1056 participants, fixed effects model). In low-income settings, solar water disinfection (SODIS) by distribution of plastic bottles with instructions to leave filled bottles in direct sunlight for at least six hours before drinking probably reduces diarrhoea by around a third (RR 0.62, 95% CI 0.42 to 0.94; four trials, 3460 participants, moderate quality evidence). In subgroup analyses, larger effects were seen in trials with higher adherence, and trials that provided a safe storage container. In most cases, the reduction in diarrhoea shown in the studies was evident in settings with improved and unimproved water sources and sanitation. Authors' conclusions Interventions that address the microbial contamination of water at the point-of-use may be important interim measures to improve drinking water quality until homes can be reached with safe, reliable, piped-in water connections. The average estimates of effect for each individual point-of-use intervention generally show important effects. Comparisons between these estimates do not provide evidence of superiority of one intervention over another, as such comparisons are confounded by the study setting, design, and population. Further studies assessing the effects of household connections and chlorination at the point of delivery will help improve our knowledge base. As evidence suggests effectiveness improves with adherence, studies assessing programmatic approaches to optimising coverage and long-term utilization of these interventions among vulnerable populations could also help strategies to improve health outcomes

Nicotine use during late adolescence and young adulthood is associated with changes in hippocampal volume and memory performance

BackgroundWith the advent of electronic nicotine delivery systems, the use of nicotine and tobacco products (NTPs) among adolescents and young adults remains high in the US. Use of e-cigarettes additionally elevates the risk of problematic use of other substances like cannabis, which is often co-used with NTPs. However, their effects on brain health, particularly the hippocampus, and cognition during this neurodevelopmental period are poorly understood.MethodsHealthy late adolescents/young adults (N = 223) ages 16-22 completed a structural MRI to examine right and left hippocampal volumes. Memory was assessed with the NIH Toolbox Picture Sequence Memory Test (PSMT) and Rey Auditory Verbal Learning Test (RAVLT). Cumulative 6-month NTP and cannabis episodes were assessed and modeled continuously on hippocampal volumes. Participants were then grouped based on 6-month NTP use to examine relationships with the hippocampus and memory: current users (CU) endorsed weekly or greater use; light/abstinent users (LU) endorsed less than weekly; and never users (NU).ResultsNTP use predicted larger hippocampal volumes bilaterally while cannabis use had no impact nor interacted with NTP use. For memory, larger left hippocampal volumes were positively associated with PSMT performance, RAVLT total learning, short delay and long delay recall for the NU group. In contrast, there was a negative relationship between hippocampal volumes and performances for LU and CU groups. No differences were detected between NTP-using groups.ConclusionThese results suggest that the hippocampus is sensitive to NTP exposure during late adolescence/young adulthood and may alter typical hippocampal morphometry in addition to brain-behavior relationships underlying learning and memory processes