Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis ,Characterisation And Anti Cancerus Studies of Schiff Base Complexes of Co(II),Cu(II) And Ni(II) Using DFMPM And L-Histidine

Cardanol a naturally occurring C15 unsaturated aliphatic chain substituted phenol derived from cashew nut shell liquid (CNSL) was used for the preparation of Schiff base ligand using Histidine. di-α-formylmethoxybis (3pentadecenylphenyl) methane is prepared from cardanol using standard methods. The Schiff base complexes Cu(II), Co(II) and Ni(II) of DFMPM and Histidine were synthesized in three stages . The ligand and complexes were characterized by IR, UV-visible, 1 HNMR and elemental analysis, melting point, metal ion intake, SEM, XRD antibacterial, antifungal, anticancerus, DNA clevage and anti inflammatory activities were studied. The conductance measurements indicate that all the complexes are of non-electrolytes. The result indicate that the complexes of Cu(II), Co(II) and Ni(II) are hexa co-ordinated and have moderate antibacterial, antifungal activity anti cancer, DNA cleavage, larvacidal and anti inflammatory. The metal ion intake indicates the ligand can be used for the removal of these metals from water.
Principle Optimal Placement and Sizing of Single Distributed Generation for Power Loss Reduction using Particle Swarm Optimization

This study presents a methodology using Particle Swarm Optimization (PSO) for the placement of single Distributed Generation (DG) in the radial distribution systems to reduce the power loss. The single DG placement is used to find the optimal DG location and sizing which is corresponded to the maximum power loss reduction. The proposed method is tested on the 26-bus radial power distribution system which modified from the Provincial Electricity Authority system in Thailand. The load flow analysis on distribution system used forward-backward sweep methodology. The simulation results show that PSO can obtain the maximum power loss reductions. The total consumption power is 8.49 MW and 5.97 MVAR and total power loss is 11.68 kW and 26.08 kVAR. This study can be verify that the PSO method can solve the best placement and sizing on the real system.
The role of interpreters in high performance computing

Compiled code is fast, interpreted code is slow. There is not much we can do about it, and it's the reason why interpreters use in high performance computing is usually restricted to job submission. We show where interpreters make sense even in the context of analysis code, and what aspects have to be taken into account to make this combination a success.
The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study

Background Wearables for monitoring physical activity (PA) are increasingly popular. These devices are not only used by consumers to monitor their own levels of PA but also by researchers to track the behavior of large samples. Consequently, it is important to explore how accurately PA can be tracked via these devices. Objectives The aim of this study was, therefore, to investigate convergent validity of 3 Android Wear smartwatches—Polar M600 (Polar Electro Oy, Kempele, Finland), Huawei Watch (Huawei Technologies Co, Ltd, Shenzhen, Guangdong, China), Asus Zenwatch3 (AsusTek Computer Inc, Taipei, Taiwan)—and Fitbit Charge with an ActiGraph accelerometer for measuring steps and moderate to vigorous physical activity (MVPA) on both a day level and 15-min level. Methods A free-living protocol was used in which 36 adults engaged in usual daily activities over 2 days while wearing 2 different wearables on the nondominant wrist and an ActiGraph GT3X+ accelerometer on the hip. Validity was evaluated on both levels by comparing each wearable with the ActiGraph GT3X+ accelerometer using correlations and Bland-Altman plots in IBM SPSS 24.0. Results On a day level, all devices showed strong correlations (Spearman r=.757-.892) and good agreement (interclass correlation coefficient, ICC=.695-.885) for measuring steps, whereas moderate correlations (Spearman r=.557-.577) and low agreement (ICC=.377-.660) for measuring MVPA. Bland-Altman revealed a systematic overestimation of the wearables for measuring steps but a variation between over- and undercounting of MVPA. On a 15-min level, all devices showed strong correlations (Spearman r=.752-.917) and good agreement (ICC=.792-.887) for measuring steps, whereas weak correlations (Spearman r=.116-.208) and low agreement (ICC=.461-.577) for measuring MVPA. Bland-Altman revealed a systematic overestimation of the wearables for steps but under- or overestimation for MVPA depending on the device. Conclusions In sum, all 4 consumer-level devices can be considered accurate step counters in free-living conditions. This study, however, provides evidence of systematic bias for all devices in measurement of MVPA. The results on a 15-min level also indicate that these devices are not sufficiently accurate to provide correct real-time feedback.
Historical fluctuations in spawning location of anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) in the Bay of Biscay during 1967-73 and 2000-2004

The spatial extent of small pelagic fish spawning habitat is influenced by environmental factors and by the state of the adult population. In return, the configuration of spawning habitat affects recruitment and therefore the future structure of the adult population. Interannual changes in spatial patterns of spawning reflect variations in adult population structures and their environment. The present study describes the historical changes in the spatial distribution of spawning of anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) in the Bay of Biscay during two periods: 1967-72 and 2000-2004. Using data from egg surveys conducted in spring, the spatial distributions of anchovy and sardine eggs are characterized by means of geostatistics. For each survey, a map of probability of egg presence is constructed. The maps are then compared to define (1) recurrent spawning areas, (2) occasional spawning areas and (3) unfavourable spawning areas during each period. Sardine spawning habitat is generally fragmented and appears spatially limited by the presence of cold bottom water. It is confined to coastal or shelf break refuge areas in years of restricted spawning extent. For anchovy, recurrent spawning sites are found in Gironde and Adour estuaries whilst spawning can extend further offshore in years of more intense spawning. For both species, the mean pattern of spawning has changed between 1967-72 and 2000-2004. Noticeably, the spatial distribution of anchovy eggs in spring has expanded northward. This trend possibly results from changes in environmental conditions during the last four decades.
Hemodialysis Pa ents ’ Evalua on of Their Lives

Results: Qualitative analysis identified different ways in which the patients evaluated their lives. The patients described the effects of ESRF on their lives primarily in terms of attitudes towards limitations, mixed feelings about caregivers, and changes in their own character. Caregivers were frequently described as supportive, but patients also perceived them as sources of distress and difficulty. ESRF and its treatment were reported to have worsened not only the patients’ emotional states, but also aspects of their character; however, the effect of ESRF also involved the experience of positive changes in character.
Physio-Molecular approach towards developing rice variety for dual resistance (Drought and Submergence) under rainfed lowland ecosystem

Crop in Rainfed lowland ecosystem often suffers both drought and/or submergence (either initial or last phase of life cycle) sometime in same life cycle depending upon prevalent weather in their region. Rice is more prone to this leading very poor or no yield. In the present study, one of promising IRRI rice lines NDR 9830102 was evaluated for drought and submergence. Swarna sub 1 and Jalmagna was taken as positive control for submergence and Nagina 22 as positive control for drought. Swarna and Mahsuri were also evaluated in both conditions. For drought observation were recorded on leaf rolling, relative water content and proline content while for submergence observation were recorded plant height, shoot elongation, survival% and carbohydrate content. Experimental results after desubmergence revealed that the NDR 9830102, Jalmagna had maximum shoot elongation followed by Swarna, Mahsuri while Swarna sub 1 had minimum shoot elongation. Swarna, Mahsuri, NDR 9830102 had minimum survival% and carbohydrate accumulation while Swarna sub 1 and Jalmagna had maximum survival%, carbohydrate accumulation. Under drought condition accumulation of proline were recorded maximum in Nagina 22 followed by NDR 9830102, Swarna and Swarna sub 1. Genetic diversity analysis by SDSPAGE reveals that the genotype Swarna, Swarna sub 1 and NDR 98102 showed remarkable variation among each other. Seeing the promising dual tolerance in NDR 9830102, crosses were made between Swarna sub1 x NDR 9830102 and their F1 was tested through RAPD marker (OPA 11).
Effect of SF6 plasma treatment on hydrophobicity improvement of fabrics

We report the improvement of the hydrophobicity in fabrics treated by radio-frequency (RF) inductively coupled SF6 plasma. The plasma was generated in the pressure range of 0.005-1 torr and with the RF power range of 25-75 watts. A set of fabrics including polyethylene terephthalate (PET), silk, cotton and mixed cotton-silk woven fabrics are treated under different operating conditions. Treated fabrics were characterized by scanning electron microscopy, water contact angle and absorption time measurement as a function of storage time after treatment. The atomic species in SF6 plasma were analyzed by optical emission spectroscopy (OES), while the chemical compositions on fabric surface were also investigated by x-ray photoelectron spectroscopy (XPS). The OES and XPS results show spectrum lines of F I in SF6 plasma and peaks of F 1s on sample surface, respectively. We expected that the change of fabric hydrophobicity is resulted from both surface etching and deposition of C-F residue on the fabrics fibers.
Integrated BVJHK$_{\sf s}$ parameters and luminosity functions of 650 Galactic open clusters

Aims. We determine the integrated magnitudes and colours of 650 clusters in optical (BV) and the near-infrared (JHKs) passbands and construct the luminosity functions of the Galactic open clusters in these passbands. Methods. The magnitudes are based on accurate and uniform cluster membership parameters derived from the ASCC-2.5 catalogue and were computed by adding the individual luminosities of the most secure cluster members. To put the computed magnitudes into a uniform and unbiased system, they were corrected for the effect of unseen stars in the ASCC-2.5. Comparison of the derived parameters with published optical data shows that our integrated magnitudes and colours are accurate within 0.6 and 0.2 mag, respectively. Comparison of cluster distributions over apparent integrated magnitudes with the prediction of a model of cluster counts shows that the sample can be regarded as magnitude-limited down to 8.1, 7.7, 6.3, 5.3, and 5.3 mag in BVJHKs. Results. Out of 650 clusters, 422 (or about 2/3) have received optical integrated magnitudes for the first time. This increases the data bank of BV integrated magnitudes to about 780 clusters, compared to about 350 clusters with BV-magnitudes available in the literature. In the near-infrared, data on cluster-integrated parameters were not available before this study. The cluster sample is found to be magnitude-limited both in the optical and in the near-infrared. This enabled us to construct cluster luminosity functions in five (BVJHKs) photometric passbands. We find that both in the optical and in the NIR the luminosity functions show similar behaviour: a linear increase to fainter magnitudes, which stops at about −2.5 mag in the optical and at −4.0 mag in the NIR. At the brightest magnitudes the luminosity functions exhibit a deficiency with respect to the linear relation. The youngest clusters have flatter luminosity functions in all five passbands with a slope of about 0.2−0.3, while the total cluster sample (all ages) produces luminosity functions with significantly steeper slopes of the order of 0.35−0.50.
Comparative study of intersubband absorption in AlGaN/GaN and AlInN/GaN superlattices: Impact of material inhomogeneities

We report a systematic and quantitative study of near-infrared intersubband absorption in strained AlGaN/GaN and lattice-matched AlInN/GaN superlattices grown by plasma-assisted molecular-beam epitaxy as a function of Si-doping profile with and without δ doping. For AlGaN/GaN, we obtained good theoretical agreement with experimental measurements of transition energy, integrated absorbance and linewidth by considering many-body effects, interface roughness, and calculations of the transition lifetime that include dephasing. For the AlInN/GaN system, experimental measurements of the integrated absorbance due to the superlattice transitions produced values more than one order of magnitude lower than AlGaN/GaN heterostructures at similar doping levels. Furthermore, observed transition energies were roughly 150 meV higher than expected. The weak absorption and high transition energies measured in these structures is attributed to columnar alloy inhomogeneity in the AlInN barriers observed in high-angle annular dark-field scanning transmission electron microscopy. We simulated the effect of these inhomogeneities using three-dimensional band-structure calculations. The inhomogeneities were modeled as AlInN nanorods with radially varying In composition embedded in the barrier material of the superlattice. We show that inclusion of the nanorods leads to the depletion of the quantum wells (QWs) due to localization of charge carriers in high-In-containing regions. The higher energy of the intersubband transitions was attributed to the relatively uniform regions of the QWs surrounded by high Al (95%) composition barriers. The calculated transition energy assuming Al0.95In0. 05N barriers was in good agreement with experimental results.
A support theorem for Hilbert schemes of planar curves, II

We study the cohomology of Jacobians and Hilbert schemes of points on reduced and locally planar curves, which are however allowed to be singular and reducible. We show that the cohomologies of all Hilbert schemes of all subcurves are encoded in the cohomologies of the fine compactified Jacobians of connected subcurves, via the perverse Leray filtration. We also prove, along the way, a result of independent interest, giving sufficient conditions for smoothness of the total space of the relative compactified Jacobian of a family of locally planar curves.
Advanced Probabilistic Load Flow Technique in Consideration of Non-Gaussianity and Nodal Correlation of Input Variables

Abstract This paper proposes a new probabilistic load flow (PLF) method that considers the non-Gaussianity and the correlation of nodal input variables. The load flow calculation plays an important role to evaluate power system conditions. In recent years, power systems become more complicated due to renewable energy such as wind power generators and PV systems. As a result, the impotence of PLF has been reevaluated as one of the promising techniques for handling the network uncertainties. This paper focuses on the applications of Monte Carlo Simulation (MCS) to PLF so that the effect of the correlations of input variables and the network uncertainties is evaluated through the nonlinear equation. In this paper, new techniques are introduced into MCS-PLF to evaluate more accurate solutions. The maximum likelihood estimation for a probability density function (PDF) of input variables is carried out to construct the non-Gaussian distribution model of input variables with the correlation by the Deterministic Annealing Expectation Maximization (DAEM) algorithm. Also, the Metropolis-Hastings sampling is used to generate random numbers that correspond to complicated multivariate probability density functions. The proposed method is successively applied to a system with wind power generators.
Lawrence Berkeley National Laboratory Recent Work Title An optimal time algorithm for shape from shading Permalink

An optimal numerical algorithm for the reconstruction of a surface from its shading image is presented. The algorithm solves the 3D reconstruction from a single shading image problem. The shading image is treated as a penalty function and the hight of the reconstructed surface is a weighted distance. A first order numerical scheme based on Sethian's Fast Marching Method [19, 18] is used to compute the reconstructed surface. The surface is a viscosity solution to an Eikonal equation for the vertical light source case. For the oblique light source case, the surface is the viscosity solution to a different partial differential equation. A small modification of the Fast Marching Method yields a numerically consistent fast algorithm for the general shape from shading problem.
Correspondence between environmental gradients and the community structure of marsh-edge fishes in a Louisiana estuary

Patterns In the community structure of marsh-edge fishes occupying the ecotone between marsh surface and open water were revealed through intensive surveys with a drop sampler along two 25 km transects in a Louisiana estuary during spring and summer 1989. We quantified abundances of organisms and measured environmental variables to characterize community structure and population responses, along large-scale as well as local environmental gradients. Reciprocal averaging ordination of species-by-sample matrices and subsequent visual pattern recognition of superimposed environmental informat~on were used to identify large-scale temporal and spatial changes in community structure. We also recognized responses to gradients in selected local environmental var~ables, like water depth and emergent stem density. Although responses to local gradients were subordinate to large-scale changes in community structure, local responses were still important in segregating species that co-occurred along large-scale gradients. A close correspondence existed between large-scale spatial and temporal changes in community structure and several abiotic variables, such as salinity. water temperature, and dissolved oxygen. Temporal changes in community structure were more important in spring than in summer. A species turnover during spring involved the virtual replacement of young-of-year of one dominant water-column species, gulf menhaden Brevoortia patronus, by another water-column species, bay anchovy Anchoa rn~tchilli. A coenocline comprised of several demersal fishes appeared along the transects in summer, and this spatial change in community structure closely followed the salinity gradient. This study extends the applicability of the gradient model of community structure to Gulf of Mexico coastal salt marshes and underscores the importance of nested environmental gradients to ecological segregation.
Scenes facilitate associative memory and integration

How do we form mental links between related items? Forming associations between representations is a key feature of episodic memory and provides the foundation for learning and guiding behavior. Theories suggest that spatial context plays a supportive role in episodic memory, providing a scaffold on which to form associations, but this has mostly been tested in the context of autobiographical memory. We examined the memory boosting effect of spatial stimuli in memory using an associative inference paradigm combined with eye-tracking. Across two experiments, we found that memory was better for associations that included scenes, even indirectly, compared to objects and faces. Eye-tracking measures indicated that these effects may be partly mediated by greater fixations to scenes compared to objects, but did not explain the differences between scenes and faces. These results suggest that scenes facilitate associative memory and integration across memories, demonstrating evidence in support of theories of scenes as a spatial scaffold for episodic memory. A shared spatial context may promote learning and could potentially be leveraged to improve learning and memory in educational settings or for memory-impaired populations.
IMPACT OF MONETARY AND FISCAL POLICIES ON INCOME INEQUALITY IN EUROPEAN MONETARY UNION

The article investigates the relationship between ECB 's monetary policy, SGP constrained fiscal policies of EMU members, the growth levels and the members' social development pattern embodied as income distribution. Panel co integration analysis is employed for the period between 1999 and 2008 in search for the impact of economic and monetary unification of the first 12 EMU members on the increasing income inequality. The results of the empirical analysis show that both the monetary policy of ECB and the restrained fiscal policies of the EMU members have negative effects on income equality. The findings also suggest that growth has positive effect on income distribution but the pace ofGDP growth is declining in EMU. Keywords: Monetary Policy, Fiscal Policy, Income Distribution, Models with Panel Data
Fiscal Policy and Welfare under Different Exchange Rate Regimes

The article analyses how government spending is determined under different exchange rate regimes in the context of a small open economy. Assuming nominal wage contracts which last for one period and assuming a benevolent government which determines government spending to optimise a representative individual’s utility, it is demonstrated that there are differences between exchange rate regimes with respect to the level of government spending. These differences arise first because a rise in government spending affects macroeconomic variables differently under different exchange rate regimes, and second because the government’s inclination to expand government spending is affected by inflation which depends on the exchange rate regime. At low rates of inflation, the government is inclined to set a higher level of government spending under a fixed exchange rate regime than under a floating exchange rate regime in which the monetary authority optimises preferences which include an employment target and an inflation target. As government spending affects the representative individual’s utility, the choice of exchange rate regime has an impact on welfare.
Automatic Detection of Pseudo-codes in Scholarly Documents Using Machine Learning

A significant number of scholarly articles in computer science and other disciplines contain algorithms that provide concise descriptions for solving a wide variety of computational problems. For example, Dijkstra’s algorithm describes how to find the shortest paths between two nodes in a graph. Automatic identification and extraction of these algorithms from scholarly digital documents would help enable automatic algorithm indexing, searching, analysis and discovery. An algorithm search engine, which identifies pseudo-codes in scholarly documents and makes them searchable, has been implemented as a part of CiteSeer suite. Here, we illustrate the limitations of the start-of-the-art rule-based pseudo-code detection approach, and present a novel set of machine learning based techniques that extend the previous method.