Hustedriddle4601

From the review, the equilibrium data fitted better with Langmuir and Freundlich isotherms than with other isotherms. Research gaps were identified which include a need to investigate the kinetic and the thermodynamic behaviors of the metal ions onto the studied adsorbents. Furthermore, a comparative analysis of the three types of activation of the adsorbents should be investigated using single and multi-metals. The optimization of particle size, contact time, temperature, initial concentration, and adsorbent dosage for adsorption of copper(II), zinc(II), and chromium(VI) onto the studied adsorbents using response surface methodology is equally required.We estimated detection probabilities of bird carcasses along sandy beaches and in marsh edge habitats in the northern Gulf of Mexico to help inform models of bird mortality associated with the Deepwater Horizon oil spill. We also explored factors that may influence detection probability, such as carcass size, amount of scavenging, location on the beach, habitat type, and distance into the marsh. Detection probability for medium-sized carcasses (200-500 g) ranged from 0.82 (SE = 0.09) to 0.93 (SE = 0.04) along sandy beaches. Within sandy beaches, we found that intact/slightly scavenged carcasses were easier to detect than heavily scavenged ones and did not find strong effects of location on the beach on detection probability. We estimated detection rate for each combination of scavenging state, carcass size, and position along sandy beaches. In marsh edge habitats, detection ranged from 0.04 (SE = 0.04) to 0.86 (SE = 0.10), with detection rates rapidly increasing from small ( 1000 g) carcasses regardless of vegetation type (Spartina or Phragmites). Carcasses of all sizes were generally harder to locate in Spartina-dominated marshes than in Phragmites-dominated ones. A subset of the data for which we could adequately assess the effect of distance into the marsh indicated that detection rates generally declined the farther a carcass was into marsh vegetation. Based on power analyses, our ability to identify predictors that influence detection rates would be higher with larger numbers of carcasses, greater numbers of search trials per carcass, or more balanced sampling distributions across predictor values.PURPOSE To investigate the effects of dairy products on bone mineral density (BMD) in healthy postmenopausal women. METHODS The EMBASE, Cochrane Library, Medline, and Web of Science databases were systematically searched for relevant studies. The pooled standardized mean difference (SMD) with its 95% confidence interval (CI) was used as the effect size. Subgroup analysis and Begg's test were conducted. RESULTS Six studies with a total of 618 participants were included in the meta-analysis. Milk was the main dairy product used in the trials. There was a significant association between dairy product consumption and BMD of the lumbar spine (SMD 0.21, 95% CI 0.05-0.37, P = 0.009), femoral neck (SMD 0.36, 95% CI 0.19-0.53, P  less then  0.001), total hip (SMD 0.37, 95% CI 0.20-0.55, P  less then  0.001), and total body (SMD 0.58, 95% CI 0.39-0.77, P  less then  0.001). Subgroup analysis suggested that there was a positive effect of dairy product consumption on the BMD of the total hip starting from 12 months and the femoral neck starting from 18 months. There was also a positive association with the BMD in the four sites in people living in low-calcium intake countries. CONCLUSION This meta-analysis provides evidence that dairy products can increase BMD in healthy postmenopausal women. Dairy product consumption should be considered an effective public health measure to prevent osteoporosis in postmenopausal women.Watermelon mosaic virus (WMV; genus Potyvirus, family Potyviridae) is responsible for serious cucurbit yield losses worldwide. Different WMV genetic groups have been characterized so far. Among these, the "classical" (CL) group has been present in the Mediterranean basin for 40 years, whereas the "emergent" (EM) group includes isolates that are associated with more-severe symptoms observed since 2000. Information on the spatial and temporal evolution of WMV isolates in Italy is currently sparse. In this study, 39 WMV isolates samples collected in different regions over the last two decades were analysed at two different genomic regions that are known to be highly variable and contain recombination breakpoints. Most of the isolates collected between 2002 and 2009 were found to belong to the CL group, whereas the isolates from 2012 onwards were classified as EM, indicating that EM isolates have progressively displaced the CL population in Italy. Although genetic variability was observed within both CL and EM groups and recombinant isolates were detected, no positive selection or haplotype geographic structure were inferred. This suggest that the shift from CL to EM populations was likely due to multiple introductions of EM isolates in different regions of Italy rather than from genetic differentiation of local populations. The progressive increase in prevalence of the highly virulent EM populations is a serious concern because of their symptom severity, and the presence of multiple EM variants that include recombinants necessitates new efforts to develop durable control strategies.Oscillometry blood pressure measurements are commonly used to measure blood pressure for many patients at hospitals, home, and office and they are actively studied recently. These devices generally offer a single blood pressure point and they are not able to indicate the confidence interval of the measured quantity. Therefore, we introduce a novel technique using ensemble-based adaptive methodology to measure confidence interval for oscillometry blood pressure measurements. The ensemble-based adaptive methodology that is used to accurately estimate blood pressure and then measure the confidence interval for the systolic blood pressure and diastolic blood pressure.PURPOSE OF REVIEW Mesenteric ischemia (MI), both acute (AMI) and chronic (CMI), is a challenging diagnosis to make, and early diagnosis and treatment are vital to improve outcomes. This manuscript summarizes the most up to date information on diagnosis and treatment of these disorders. RECENT FINDINGS There have been several significant advancements in the computed tomography (CT) diagnostic imaging as well as medical and endovascular management of AMI and CMI. In appropriate populations, endovascular interventions appear superior to open surgical management with lower mortality, morbidity, and cost of care. Efficient clinical identification and targeted testing are essential to diagnose AMI and CMI. Aggressive resuscitation and early endovascular (or in select cases, surgical) intervention improve outcomes in those with AMI. In those with CMI, considering this on the differential diagnosis and imaging appropriately can identify those that might benefit from intervention and halt progression to acute episodes.The free D-amino acid, D-aspartate, is abundant in the embryonic brain but significantly decreases after birth. Besides its intracellular occurrence, D-aspartate is also present at extracellular level and acts as an endogenous agonist for NMDA and mGlu5 receptors. These findings suggest that D-aspartate is a candidate signaling molecule involved in neural development, influencing brain morphology and behaviors at adulthood. To address this issue, we generated a knockin mouse model in which the enzyme regulating D-aspartate catabolism, D-aspartate oxidase (DDO), is expressed starting from the zygotic stage, to enable the removal of D-aspartate in prenatal and postnatal life. In line with our strategy, we found a severe depletion of cerebral D-aspartate levels (up to 95%), since the early stages of mouse prenatal life. Despite the loss of D-aspartate content, Ddo knockin mice are viable, fertile, and show normal gross brain morphology at adulthood. Interestingly, early D-aspartate depletion is associated with a selective increase in the number of parvalbumin-positive interneurons in the prefrontal cortex and also with improved memory performance in Ddo knockin mice. In conclusion, the present data indicate for the first time a biological significance of precocious D-aspartate in regulating mouse brain formation and function at adulthood.A comprehensive account of the LBD gene family of Gossypium was provided in this work. Expression analysis and functional characterization revealed that LBD genes might play different roles in G. hirsutum and G. barbadense. The Lateral Organ Boundaries Domain (LBD) proteins comprise a plant-specific transcription factor family, which plays crucial roles in physiological processes of plant growth, development, and stress tolerance. In the present work, a systematical analysis of LBD gene family from two allotetraploid cotton species, G. hirsutum and G. barbadense, together with their genomic donor species, G. arboreum and G. raimondii, was conducted. There were 131, 128, 62, and 68 LBDs identified in G. hirsutum, G. barbadense, G. arboreum and G. raimondii, respectively. The LBD proteins could be classified into two main classes, class I and class II, based on the structure of their lateral organ boundaries domain and traits of phylogenetic tree, and class I was further divided into five subgroups. The gene structure and motif composition analyses conducted in both G. LJH685 hirsutum and G. barbadense revealed that LBD genes kept relatively conserved within the subfamilies. Synteny analysis suggested that segmental duplication acted as an important mechanism in expansion of the cotton LBD gene family. Cis-element analysis predicated the possible functions of LBD genes. Public RNA-seq data were investigated to analyze the expression patterns of cotton LBD genes in various tissues as well as gene expression under abiotic stress treatments. Furthermore, RT-qPCR results found that GhLBDs had various expression regulation under MeJA treatments. Expression analysis indicated the differential functions of cotton LBD genes in response to abiotic stress and hormones.The underutilized, oleaginous crop Plukenetia volubilis L. has a remarkable lipid composition and a large potential for further domestication, alleviation of malnutrition, and integration into sustainable food production systems. Current global challenges include climate change, increasing population size, lack of food security, malnutrition, and degradation of arable lands. In this context, a reformation of our food production systems is imperative. Underutilized crops, or orphan crops, can provide valuable traits for this purpose, e.g., climate change resilience, nutritional benefits, cultivability on marginal lands, and improvement of income opportunities for smallholders. Plukenetia volubilis L. (Euphorbiaceae)-sacha inchi-is a 'lost crop' of the Incas native to the Amazon basin. Its oleaginous seeds are large, with a high content of ω-3, and -6 fatty acids (ca. 50.5, and 34.1%, of the lipid fraction, respectively), protein, and antioxidants. Culinarily, the seeds are nut-like and the crop has been associated with humans since Incan times. Research has particularly been undertaken in seed biochemistry, and to some extent in phylogeny, genetics, and cultivation ecology, but attention has been unevenly distributed, causing knowledge gaps in areas such as ethnobotany, allergenicity, and sustainable cultivation practices. Recently, seed size evolution and molecular drivers of the fatty acid synthesis and composition have been studied, however, further research into the lipid biosynthesis is desirable. Targeted breeding has not been undertaken but might be especially relevant for yield, sensory qualities, and cultivation with low environmental impact. Similarly, studies of integration into sustainable management systems are of highest importance. Here, present knowledge on P. volubilis is reviewed and a general framework for conducting research on underutilized crops with the aim of integration into sustainable food production systems is presented.