Mapping Of Components Research Articles

Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sediment Sampler Biases and Increasing Habitat Classification Accuracy

Bottom-grab samplers have long been the standard to describe nearshore marine habitats both qualitatively and quantitively. However, sediment samplers are designed to collect specific grain sizes and therefore have biases toward those sediments. Here, we discuss seafloor characterizations based on grain size analysis alone vs. grain size analysis augmented with quantitative benthic imagery. We also use both datasets to inform a prevalent benthic habitat classification system. The Coastal and Marine Ecological Classification Standard (CMECS) was used to test this hypothesis. CMECS was adopted by the federal government to standardize habitat classification in coastal U.S. waters. CMECS provides a hierarchal framework to define and interpret benthic habitats but does not prescribe specific sampling methods. Photography has been utilized for many decades in benthic ecology but has rarely been employed in habitat classification using CMECS. No study to date has quantitatively examined the benefit of incorporating benthic imagery into the classification of biotopes using CMECS. The objective of this study is to classify a roughly 1 km2 subtidal area within Herring Cove in Provincetown, MA with CMECS and quantify the benefit of augmenting classification with low-cost imagery. A benthic habitat survey of the study area included grab sampling for grain-size analysis and invertebrate taxonomy, benthic imagery, water quality sampling at 24 sampling stations, and acoustic mapping of the study area. Multivariate statistical analyses were employed to classify biotic communities and link environmental and biological data to classify biotopes. The results showed that benthic imagery improved the classification and mapping of CMECS components. Furthermore, the classification of habitats and biotopes was improved using benthic imagery data. These findings imply that the incorporation of low-cost benthic imagery is warranted in coastal benthic biotope classification and mapping studies and should be regularly adopted. This study has implications for coastal benthic ecologists classifying benthic habitats within the CMECS framework.

Systematic development of a complex intervention: a theory and evidence-based physiotherapist led group intervention to increase physical activity and reduce sedentary behaviour following bariatric surgery (PARIS)

ObjectivesTo describe the systematic development of a physiotherapist led group behaviour change intervention targeting physical activity and sedentary behaviour in individuals who have undergone bariatric surgery. Study designIntervention development including evidence synthesis, qualitative research and mapping of intervention components, using the 2008 MRC framework for complex interventions. MethodsWe conducted a systematic review to identify the evidence for promising interventions and components to increase physical activity and reduce sedentary behaviour following bariatric surgery. We also conducted primary qualitative research exploring these behaviours with three key stakeholder groups: patients, clinicians and commissioners. We selected two contemporary behaviour change frameworks to inform intervention development and developed a conceptual matrix in which intervention objectives were defined to inform selection of appropriate behaviour change techniques, proposed mechanisms of action(s), and mode of delivery. We also developed two intervention handbooks for participants and facilitators to support delivery and receipt of the intervention. ResultsWe have developed a behaviour change intervention targeting physical activity and sedentary behaviour in patients following bariatric surgery. Eight intervention objectives were defined and mapped to the Behaviour Change Wheel and Theoretical Domains Framework. We identified what the intervention must be able to do (intervention functions), behaviour change techniques that could be used to achieve this, the proposed mechanism of action, and mode of delivery. This intervention will be subject to a feasibility study, with the intervention delivered online over a six-week period to participants who have had bariatric surgery within the previous five years. Contribution of the Paper•This paper clearly explains the process involved in developing a theory and evidence-based physiotherapy-led complex behaviour change intervention.•The full specification of the intervention including proposed mechanism of effect has been provided, which should facilitate faithful intervention delivery and allow it to be comprehensively evaluated in a planned feasibility study.•This paper aims to enable physiotherapists to develop their own complex interventions, targeting behaviours that are relevant to their patients in their own areas of clinical practice.

Deep Learning Assisted High Resolution Microscopy Image Processing for Phase Segmentation in Functional Composite Materials

In the domain of battery research, the processing of high-resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilization of deep learning methodologies for image analysis has attracted considerable interest in recent years, with multiple investigations employing such techniques for image segmentation and analysis within the realm of battery research. However, the automated analysis of high-resolution microscopy images for detecting phases and components in composite materials is still an underexplored area.The presentation discusses the formulation of a sophisticated deep learning-assisted workflow tailored for the meticulous processing of high throughput, high-resolution microscopy images to detect, map and analyze the evolution of periodic components from a stack of high-resolution Transmission Electron Microscopy (TEM) image. The developed methodology employs deep learning techniques and utilizes Fast Fourier Transform (FFT) patterns extracted from TEM images to analyze feature positions and ascertain periodic components. The approach incorporates innovative strategies to process high-resolution images, capitalizing on the symmetry within FFT patterns to enhance model performance. This methodology streamlines the detection and mapping of components while the intensity profiles derived from the frames provide valuable insights into the evolution of periodic components within the sample during the imaging period.High-resolution images obtained through a beam damage analysis investigation of lithium fluoride (LiF), a prevalent constituent within the solid-electrolyte interphase (SEI) of cycled lithium metal anodes, were employed to assess the program's scalability and robustness. The study elucidated decomposition products and their spatial distribution. Furthermore, the intensity profile of periodic components detected across multiple frames aided in evaluating the beam damage mechanism of the LiF component.Our research has resulted in an open-source Python GUI program that the research community can freely access and experiment with. Figure 1

Detection and Imaging of Exposure-Related Metabolites and Xenobiotics in Hard Tissues by Laser Sampling and Mass Spectrometry.

The utility of two novel laser-based methods, laser ablation electrospray ionization (LAESI) and laser desorption ionization (LDI) from silicon nanopost array (NAPA), is explored via local analysis and mass spectrometry imaging (MSI) of hard tissues (tooth and hair) for the detection and mapping of organic components. Complex mass spectra are recorded in local analysis mode from tooth dentin and scalp hair samples. Nicotine and its metabolites (cotinine, hydroxycotinine, norcotinine, and nicotine) are detected by LAESI-MS in the teeth of rats exposed to tobacco smoke. The intensities of the detected metabolite peaks are proportional to the degree of exposure. Incorporating ion mobility separation in the LAESI-MS analysis of scalp hair enables the detection of cotinine in smoker hair along with other common molecular species, including endogenous steroid hormones and some lipids. Single hair strands are imaged by MALDI-MSI and NAPA-LDI-MSI to explore longitudinal variations in the level of small molecules. Comparing spectra integrated from NAPA-LDI-MSI and MALDI-MSI images reveals that the two techniques provide complementary information. There were 105 and 82 sample-related peaks for MALDI and NAPA, respectively, with an overlap of only 16 peaks, indicating a high degree of complementarity. Enhanced molecular coverage and spatial resolution offered by LAESI-MS and NAPA-LDI-MSI can reveal the distributions of known and potential biomarkers in hard tissues, facilitating exposome research.

Simulations of dislocation contrast in dark-field X-ray microscopy.

Dark-field X-ray microscopy (DFXM) is a full-field imaging technique that non-destructively maps the structure and local strain inside deeply embedded crystalline elements in three dimensions. In DFXM, an objective lens is placed along the diffracted beam to generate a magnified projection image of the local diffracted volume. This work explores contrast methods and optimizes the DFXM setup specifically for the case of mapping dislocations. Forward projections of detector images are generated using two complementary simulation tools based on geometrical optics and wavefront propagation, respectively. Weak and strong beam contrast and the mapping of strain components are studied. The feasibility of observing dislocations in a wall is elucidated as a function of the distance between neighbouring dislocations and the spatial resolution. Dislocation studies should be feasible with energy band widths of 10-2, of relevance for fourth-generation synchrotron and X-ray free-electron laser sources.

Simultaneous mapping of the magnetic field components using near-field microscopy

In this work, we present a near-field scanning optical microscope capable of simultaneously mapping the x− , y− , and z− components of the magnetic field generated by a set of magnetic coils in the kHz range. Using this device, we present two experiments: the observation of the well-known magnetic field of a circular coil and a resolution test. The observations achieved with our instrument are supported by numerically calculated simulations, which confirm the validity of our experimental results. In addition, our instrument is capable of imaging features of the order of 15mm , representing a resolution of λ/10000 . Our approach establishes an important avenue for the three-dimensional mapping of the electromagnetic field in any spectral range, using the correct configuration of the probe, and opens a new discussion on the resolution of scanning probe microscopes imaging more than one component of the studied field.

A Proposal in Search of the Form of the Theory

More than just constituting the material substance of the object, structure establishes a peculiar way of transferring meaning via metaphor. In design phases, the content constructed with manifestos brings out a context by the form. Both in disciplines of art and architecture, in monument design, the link between the order of elementary geometry and the symbolic values conveyed through it becomes apparent. A monument is a structural object in which meaning, and form integrate. Monument and memorial space-themed design competitions are idea-generating processes in which this desire stands out sharply. In this study, it is aimed to investigate the semantic equivalent of a product with its form through semiotic matching of structural components in its qualitative aspects. For this purpose, the expansion of the correlation will be questioned through a monument proposal for İstanbul Senin/Design Artwork Competition Mihri Rasim (Müşfik) category. The conditions, defining the abstracted person life cycle and way of integration with life are the design layers of the monument. The next stage is aimed to establish the relationship between abstraction and the design principles. The inferences drawn include the pursuit of a conclusion on the monopoly of this hypothesis and a methodology for reading the architectonic expression of other monuments. So, it may be possible to carry the structure beyond being an object by surveying the structure in a holistic order with the theoretical base of design values.

Biochemical changes in lipid and protein metabolism caused by mannose-Raman spectroscopy studies.

Biochemical analysis of human normal bronchial cells (BEpiC) and human cancer lung cells (A549) has been performed by using Raman spectroscopy and Raman imaging. Our approach provides a biochemical compositional mapping of the main cell components: nucleus, mitochondria, lipid droplets, endoplasmic reticulum, cytoplasm and cell membrane. We proved that Raman spectroscopy and Raman imaging can distinguish successfully BEpiC and A549 cells. In this study, we have focused on the role of mannose in cancer development. It has been shown that changes in the concentration of mannose can regulate some metabolic processes in cells. Presented results suggest lipids and proteins can be considered as Raman biomarkers during lung cancer progression. Analysis obtained for bands 1444 cm-1, and 2854 cm-1 characteristic for lipids and derivatives proved that the addition of mannose reduced levels of these compounds. Results obtained for protein compounds based on bands 858 cm-1, 1004 cm-1 and 1584 cm-1 proved that the addition of mannose increases the values of protein in BEpiC cells and blocks protein glycolisation in A549 cells. Noticing Raman spectral changes in BEpiC and A549 cells supplemented with mannose can help to understand the mechanism of sugar metabolism during cancer development and could play in the future an important role in clinical treatment.

The role of the primary sensorimotor system in generalized epilepsy: Evidence from the cerebello-cerebral functional integration.

The interaction between cerebellum and cerebrum participates widely in function from motor processing to high-level cognitive and affective processing. Because of the motor symptom, idiopathic generalized epilepsy (IGE) patients with generalized tonic-clonic seizure have been recognized to associate with motor abnormalities, but the functional interaction in the cerebello-cerebral circuit is still poorly understood. Resting-state functional magnetic resonance imaging data were collected for 101 IGE patients and 106 healthy controls. The voxel-based functional connectivity (FC) between cerebral cortex and the cerebellum was contacted. The functional gradient and independent components analysis were applied to evaluate cerebello-cerebral functional integration on the voxel-based FC. Cerebellar motor components were further linked to cerebellar gradient. Results revealed cerebellar motor functional modules were closely related to cerebral motor components. The altered mapping of cerebral motor components to cerebellum was observed in motor module in patients with IGE. In addition, patients also showed compression in cerebello-cerebral functional gradient between motor and cognition modules. Interestingly, the contribution of the motor components to the gradient was unbalanced between bilateral primary sensorimotor components in patients: the increase was observed in cerebellar cognitive module for the dominant hemisphere primary sensorimotor, but the decrease was found in the cerebellar cognitive module for the nondominant hemisphere primary sensorimotor. The present findings suggest that the cerebral primary motor system affects the hierarchical architecture of cerebellum, and substantially contributes to the functional integration evidence to understand the motor functional abnormality in IGE patients.

Association Mapping of Agronomic, Grain Characteristics, Yield Components and Yield Traits Using an Elite Breeding Panel

Association Mapping of Agronomic, Grain Characteristics, Yield Components and Yield Traits Using an Elite Breeding Panel

Stem-Cell Enriched Cellular Hierarchy of TP53 Mutant Acute Myeloid Leukemia Is Vulnerable to Targeted Protein Degradation of c-MYC

Deregulation of MYC genes occurs in up to 70% of all human cancers and is associated with hallmarks of cancer including mitochondrial and ribosomal biogenesis, cell cycle progression, and metabolic abnormalities. TP53 regulates MYC while MYC suppresses TP53, suggesting counteracting negative feedback loops. Therefore, MYC or its function can be activated when TP53 is not functional. TP53 mutations occur in 30% of relapsed/refractory acute myeloid leukemias (AMLs) patients' survival is dismal, and there are no effective therapies for these patients. Compared to TP53 wild-type (TP53wt), TP53 mutant (TP53mut) AMLs have lower percentages and numbers of leukemia blasts with increased immature CD34+ cells and resistance to chemo- or molecularly targeted therapies. However, the exact cellular hierarchy of TP53mut AML has not been elucidated. We observed significantly increased MYC mRNA levels in (TP53mut), as compared to TP53wt AML, and also increased levels in TP53mut versus TP53wt AML leukemia stem cell (LSC) fractions. This finding was confirmed in a dataset from the Munich Leukemia Laboratory (N = 732). We found significantly upregulated MYC pathways in TP53mut compared to TP53wt AML LSC. We confirmed the increased MYC mRNA levels at the protein level in TP53mut AML by single-cell mass cytometry (CyTOF). To dissect the cellular hierarchy in TP53mut AML, we performed single-cell RNA sequencing of 32 BM samples from healthy donors (N = 3), newly diagnosed, high-risk TP53wt (N = 7) and TP53mut (N = 22) AML patients, with 6,685, 10,687 and 10,687 cells from normal, TP53wt and TP53mut AML bone marrow (BM) cells, respectively. We found highly enriched HSC-like cells and reduced progenitor- and GMP-like cells in TP53mut AML compared to normal BM (NBM) and TP53wt AML samples. We overlayed MYC expression levels on the mapping of cellular components and found higher MYC levels in HSC-like cells in TP53mut AML compared to HSC and HSC-like cells in NBM and TP53wt AML samples, suggesting enrichment of immature HSC-like cells and increased activity of MYC in TP53mut AML LSCs ( Fig. A). To target c-MYC and MYC signaling, we utilized GT19715, the first-in-class cereblon modulator (CELMoD) for c-MYC protein (Nishida, ASH 2022). CyTOF confirmed the presence of much increased c-MYC protein levels in primary CD34+ AML than in CD34+ NBM hematopoietic stem cells (HSCs). Notably, CD34+ AML cells showed much greater sensitivity to GT19715 compared to CD34+ NBM cells. Data suggest on-target activity of GT19715 against c-MYC in LSCs with a therapeutic window between LSCs vs. NBM HSCs. Intriguingly, c-MYC protein levels are higher in CD34+CD38+ than in CD34+CD38- AML cells, suggesting that c-MYC drives the proliferation of AML progenitor cells differentiating from quiescent LSCs. Consequently, CD34+CD38+ AML progenitor cells exhibited greater sensitivity to GT19715 compared to CD34+CD38- LSCs. Using paired, TP53 null HL-60 GT19715-sensitive and -resistant cells generated through chronic exposure to GT19715, we interrogated the impact of GT19715 on metabolic changes. GT19715 induced pronounced reductions in basal and maximal oxygen consumption rates (OCRs) in GT19715-sensitive HL-60 cells. GT19715 reduced both basal, glutamine- and glucose-dependent extracellular acidification rates (ECARs) in GT19715-sensitive cells while no inhibition in OCRs or ECARs was observed in GT19715-resistant cells. GT19715 severely inhibited ECARs even after adding glucose to GT19715-sensitive cells, suggesting irreversible inhibition of glycolysis as one of the mechanisms of action of GT19715. GT19715 profoundly reduced AML blasts in TP53mut AML samples (N = 3) ( Fig. B), and in a very aggressive patient-derived xenograft (PDX) TP53mut AML model established from a patient with TP53 p.Y220C and p.P151A mutations along with MECOM rearrangement and K/NRAS mutations. In humanized Crbn I391V mice, where the Crbn-mediated protein degradation is operational, GT19715 only reduced WBC counts along with minimal body weight loss. GT19715 but did not reduce total mouse BM CD45+ cells, suggesting favorable toxicity profiles of GT19715. In conclusion, TP53mut AML comprised highly enriched LSC populations compared to TP53wt AML and targeting of c-MYC protein is highly effective in TP53mut AML in vitro and in vivo with a therapeutic window between AML LSC and normal hematopoietic cells.

Axonal mapping of motor and sensory components within the ulnar nerve and its branches.

Intrinsic function is indispensable for dexterous hand movements. Distal ulnar nerve defects can result in intrinsic muscle dysfunction and sensory deficits. Although the ulnar nerve's fascicular anatomy has been extensively studied, quantitative and topographic data on motor axons traveling within this nerve remain elusive. The ulnar nerves of 14 heart-beating organ donors were evaluated. The motor branches to the flexor carpi ulnaris (FCU) and flexor digitorum profundus (FDP) muscles and the dorsal branch (DoBUN) as well as 3 segments of the ulnar nerve were harvested in 2-cm increments. Samples were subjected to double immunofluorescence staining using antibodies against choline acetyltransferase and neurofilament. Samples revealed more than 25,000 axons in the ulnar nerve at the forearm level, with a motor axon proportion of only 5%. The superficial and DoBUN showed high axon numbers of more than 21,000 and 9300, respectively. The axonal mapping of more than 1300 motor axons revealed an increasing motor/sensory ratio from the proximal ulnar nerve (1:20) to the deep branch of the ulnar nerve (1:7). The motor branches (FDP and FCU) showed that sensory axons outnumber motor axons by a ratio of 10:1. Knowledge of the detailed axonal architecture of the motor and sensory components of the human ulnar nerve is of the utmost importance for surgeons considering fascicular grafting or nerve transfer surgery. The low number of efferent axons in motor branches of the ulnar nerve and their distinct topographical distribution along the distal course of the nerve is indispensable information for modern nerve surgery.

Cognitive mapping of innovation components of health-oriented food products: Case study of sweet and chocolate industry

Cognitive mapping of innovation components of health-oriented food products: Case study of sweet and chocolate industry

Ultrafast Coupling of Optical Near Fields to Low-Energy Electrons Probed in a Point-Projection Microscope.

We report the first observation of the coupling of strong optical near fields to wavepackets of free, 100 eV electrons with <50 fs temporal resolution in an ultrafast point-projection microscope. Optical near fields are created by excitation of a thin, nanometer-sized Yagi-Uda antenna, with 20 fs near-infrared laser pulses. Phase matching between electrons and near fields is achieved due to strong spatial confinement of the antenna near field. Energy-resolved projection images of the antenna are recorded in an optical pump-electron probe scheme. We show that the phase modulation of the electron by transverse-field components results in a transient electron deflection while longitudinal near-field components broaden the kinetic energy distribution. This low-energy electron near-field coupling is used here to characterize the chirp of the ultrafast electron wavepackets, acquired upon propagation from the electron emitter to the sample. Our results bring direct mapping of different vectorial components of highly localized optical near fields into reach.

The Potential of Aerial Reconnaissance in the Detection, Mapping and 3D Reconstruction Modelling of Crop-Marked Military Components of Bohemia’s Postmedieval and Early Industrial Landscape

From the 17th to the 19th century, a score of military events, campaigns and battles took place in the Czech lands, leaving numerous traces and distinctly changing the appearance of the cultural landscape in some regions. The results of long-term aerial-archeological surveys in the Czech lands have demonstrated that this detection method is advantageous in identifying buried sites built in the past in the context of military conflicts. Experience hitherto has made it possible to label archeological remote sensing as a collection of the potentially most effective methods for uncovering sites of field fortifications dated to the modern period and the beginning of the industrial era. This includes finds of both solitary sites and segments of strategically built fortification lines. This paper is an attempt to critically evaluate these hitherto recorded landmarks which have been discovered and documented via aerial prospection from the 1990s to the present. At the same time, this study reflects on the possibilities offered by the modern methods of remote sensing which have played a significant role in the discovery, mapping, documentation, digital terrain modelling, and the 3D virtual reconstructions of these sites.

Yoga and pain: A mind-body complex system.

The human body's response to pain is indicative of a complex adaptive system. Therapeutic yoga potentially represents a similar complex adaptive system that could interact with the pain response system with unique benefits. To determine the viability of yoga as a therapy for pain and whether pain responses and/or yoga practice should be considered complex adaptive systems. Examination through 3 different approaches, including a narrative overview of the evidence on pain responses, yoga, and complex system, followed by a network analysis of associated keywords, followed by a mapping of the functional components of complex systems, pain response, and yoga. The narrative overview provided extensive evidence of the unique efficacy of yoga as a pain therapy, as well as articulating the relevance of applying complex systems perspectives to pain and yoga interventions. The network analysis demonstrated patterns connecting pain and yoga, while complex systems topics were the most extensively connected to the studies as a whole. All three approaches support considering yoga a complex adaptive system that exhibits unique benefits as a pain management system. These findings have implications for treating chronic, pervasive pain with behavioral medicine as a systemic intervention. Approaching yoga as complex system suggests the need for research of mind-body topics that focuses on long-term systemic changes rather than short-term isolated effects.

Measurement of structured tightly focused beams with classical interferometry

We report the first classic interferometric measurement of the full field of propagating tightly focused vector beams (NA up to 1.23) across areas of . This approach outperforms near field measurements of non paraxial propagating beams because it is compatible with large power imbalances across the polarization components and low light intensities. Also, intricate subwavelength structures are resolved due to the exact mapping of the transverse field components by the microscope. Prior to focusing, the structured laser light has a linear or circular polarization state and an arbitrary 2D spatial phase. The transverse polarization components are extracted directly from 12 interferograms using 4 step interferometry, while the longitudinal component is extracted from the measured transverse fields with Gauss law. Different structured propagating vectorial beams are measured to demonstrate that the method works for any field geometry. The measurements are compared to simulations with normalized cross correlations that yield mean values , confirming good agreement.

QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster.

In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components and kernel traits in two wheat cultivars `TAM 112' and `Duster' under both irrigated and dryland environments. A set of 182 recombined inbred lines (RIL) derived from the cross of TAM 112/Duster were planted in 13 diverse environments for evaluation of 18 yield and kernel related traits. High-density genetic linkage map was constructed using 5,081 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS). QTL mapping analysis detected 134 QTL regions on all 21 wheat chromosomes, including 30 pleiotropic QTL regions and 21 consistent QTL regions, with 10 QTL regions in common. Three major pleiotropic QTL on the short arms of chromosomes 2B (57.5 - 61.6 Mbps), 2D (37.1 - 38.7 Mbps), and 7D (66.0 - 69.2 Mbps) colocalized with genes Ppd-B1, Ppd-D1, and FT-D1, respectively. And four consistent QTL associated with kernel length (KLEN), thousand kernel weight (TKW), plot grain yield (YLD), and kernel spike-1 (KPS) (Qklen.tamu.1A.325, Qtkw.tamu.2B.137, Qyld.tamu.2D.3, and Qkps.tamu.6A.113) explained more than 5% of the phenotypic variation. QTL Qklen.tamu.1A.325 is a novel QTL with consistent effects under all tested environments. Marker haplotype analysis indicated the QTL combinations significantly increased yield and kernel traits. QTL and the linked markers identified in this study will facilitate future marker-assisted selection (MAS) for pyramiding the favorable alleles and QTL map-based cloning.

Development of a three-source remote sensing model for estimation of urban evapotranspiration

Estimation of urban evapotranspiration (ET) is meaningful for evaluating the urban heat island effect and promoting urban water conservation. While multi-source satellite-based ET models for farmland and natural ecosystems have been developed, these models lack the object-oriented solutions for the urban areas. In view of this, the present study proposed a Three-source Remote sensing model for Urban areas (TRU) to simulate the urban ET, which can discriminate between urban soil evaporation, vegetation transpiration, and impervious surface evaporation. The new parameterization scheme proposed herein is characterized by the theory of complementary relationship to estimate the urban soil evaporation. Evaporation losses in the impervious areas were independently estimated in accordance with the distribution of urban land use and land cover (LULC). The developed TRU model was evaluated for 63 cloud-free test days in Tianjin, China by using 30 m Landsat Operational Land Imager (OLI)/Enhanced Thematic Mapper Plus (ETM+) images. The outcomes of this study revealed a root-mean-square-error (RMSE) of 40.2 W/m2 and a bias of 10.8 W/m2 compared with the two eddy correlation (EC) observations for the instantaneous latent heat flux (LE) simulation. Moreover, the RMSE and bias were 0.092 and −0.023, respectively in simulating the vegetation latent heat flux fraction (LEv/LE) when verified with respect to the stable water isotope measurements. Due to limited water availability, the impervious urban surface evaporation magnitude was found quite low with minimal variation on different test days. The results emphasize the importance of coupling LULC information in the urban ET modeling conceptualization. Certainly, the TRU model improved the ET simulation accuracy in urban areas and could facilitate the mapping of urban ET components at high spatial resolution.

Profiling of Peak Intensity and Standard Deviation of Metabolites in Industrially Important Red Seaweed Gracilaria dura (Rhodophyta) by 1H NMR Spectra for Benchmarking

Mapping of regulatory components of cellular functioning by 1H NMR metabolomics has recently paved the way to study biochemical pathways in plants. Despite the enormous complexity and heterogeneity of the metabolites, the estimation of molar concentration allows for their direct quantification without calibration for individual compounds. 1H NMR spectra of near-native extracts were recorded for a large number (55 each) of wild and cultured samples of the industrially important red seaweed Gracilaria dura to obtain quantitative data of all the metabolites. Average and standard deviation of the respective classes were calculated from 1H NMR spectra wherein significant differences between wild and cultured groups were observed in the 1.56–3.50 ppm region. A significant region in the wild samples having a low average (0–0.98) and standard deviation (0.2–0.81) was 1.56–2.96 ppm representing nitrogen-containing compounds. The same region was found to have a much higher standard deviation (0.13–1.73) with average (0–2.03) in cultured samples. In comparison, sugar metabolites (triethanolamine, galactose, lactate, threonine) have a high average peak intensity and similar standard deviation across both groups of samples. This observation reveals that sugar compounds are critical in central metabolic pathways while nitrogen compounds change due to the environment. PCA analysis revealed an interpretable overview of main information enclosed in a multidimensional data set; the differences were correlated to environmental determinants, developmental, and growth states. A signature metabolite profile is presented with minor standard deviation differences between significant parts of the 1H NMR spectra, confirming its use as a rapid chemo-taxonomic tool supplementary to the conventional approach.