Miracle-dz/UniFAR-FTUs huggingface dataset:
The Characterisation of the Interaction between Atmospheric Aerosol and Water Vapour

Understanding the interaction between atmospheric aerosol and water vapour is key in assessing the impacts of anthropogenic influences on the earth's radiative budget, both directly through scattering and absorbing incident solar radiation, and indirectly through changing cloud properties, with considerable uncertainty in the magnitude of the estimated forcings of the latter. Although aerosol particle water uptake is well defined for inorganic compounds, the effects of the aerosol organic fraction on cloud droplet formation and cloud condensation nuclei (CCN) properties are relatively poorly characterised, due to the large number of organic compounds present in atmosphere and their highly complex influences on properties such as water solubility and surface tension.This thesis presents extensive field measurements of CCN/aerosol hygroscopicity from three different environments, together with a novel error model, which has been developed to propagate instrumental uncertainties from measurements in the sub- and supersaturated regimes through to commonly used data products used in large-scale models. This study illustrates that a single hygroscopicity framework is not able to reconcile the measurements within errors, for different measurement environments. The sensitivity of this type of reconciliation study was assessed using several different scenarios, making different assumptions in each case; sensitivity tests using a `typical? regional aerosol particle water uptake or number-size distribution, demonstrate that it is not possible to apply a constant correction to data to guarantee reconciliation, that the best reconciliation was achieved for size-resolved high-temporal water uptake and aerosol number-size distribution data, and that the application of single-parameter hygroscopicity models requires further examination. It is concluded that high-temporal size-resolved measurements of sub- and supersaturated particle water uptake are fundamental to providing a thorough characterisation of the interaction between atmospheric aerosol and water vapour, and are essential in order to achieve the best possible predictive capability from large-scale models.
Efficient computation of compliance matrices in redundant internal coordinates from Cartesian Hessians for nonstationary points

We present an extension to the theory of compliance matrices, which is valid for arbitrary nonstationary points on the potential energy hypersurface. It is shown that compliance matrices computed as the inverse of the covariant Hessian matrix obey the same invariance properties with respect to different internal coordinate systems as they do for stationary points. Furthermore, we demonstrate how the computation of compliance matrices in arbitrary sets of redundant internal coordinates starting from a Cartesian Hessian can be achieved efficiently, and we discuss their potential usefullness in geometry optimization processes
Photosensitive Pentacene Precursor: Synthesis, Photothermal Patterning, and Application in Thin‐Film Transistors

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BIOLOGICAL VALUE OF A SOY-BASED (Glycine hispide) AND MESQUITE (Prosopis juliflora) DIET

The nutritive value of a vegetable-based blend, soy milk ( Glycine hispide ) plus mesquite flour ( Prosopis juliflora ) was assessed in male weanling rats (Wistar) aged 21 day-old. The animals, (n=40), were divided into four groups and had free access to diets and water. Feeding schedule was as follows: Diet 1 - soy milk (50%) plus mesquite flour (50%); Diet 2 - soy milk (70%) plus mesquite flour (30%); Diet 3 - casein (Control); Diet 4 - a protein-free diet. Diets 1 and 2 provided approximately 9% of protein. The Protein Efficiency Ratio (PER), Food Efficiency Ratio (FER), Net Protein Ratio (NPR), Coefficient of Apparent Food Digestibility (CapFD) and weight gains were measured. The Kruskal-Wallis method was used for statistical analysis (significance level set at 5%). Values of all parameters were higher in the control animals than in the experimental ones. The parameters for animals fed with the Diet 2 showed higher values compared to those of Diet 1. It is concluded that this vegetable-based blend proved to be valid in terms of nutritive value, even though, further investigation is recommended before its use in supplementary feeding programs directed towards population groups from economically deprived environments.
An Overview of Arbovirology in Brazil and Neighbouring Countries

1 WHO Reference Centre for Arboviruses/Servico de Arbovirus, Instituto Evandro ChagasIFNS-MS, Av.Almirante Barroso, 492, 66090-000, Belem, Para, Brazil, FAX:55 91 226-5262.2 ORSTOM/IEC, CP 75, CEP 66017-970, Belem, Para, Brazil, FAX:55 91226-5262.This work was supported by the Instituto Evandro Chagas/Fundacao Nacional de Saude of Ministry ofHealth of Brazil, Financiadora de Estudos e Projetos (FINEP) and CNPq/ORSTOM.
Integrating geospatial and multi‐depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil

Soil mapping across large areas can be enhanced by integrating different methods and data sources. This study merges laboratory, field and remote sensing data to create digital maps of soil suborders based on the Brazilian Soil Classification System, with and without additional textural classification, in an area of 13 000 ha in the state of São Paulo, southeastern Brazil. Data from 289 visited soil profiles were used in multinomial logistic regression to predict soil suborders from geospatial data (geology, topography, emissivity and vegetation index) and visible–near infrared (400–2500 nm) reflectance of soil samples collected at three depths (0–20, 40–60 and 80–100 cm). The derived maps were validated with 47 external observations, and compared with two conventional soil maps at scales of 1:100 000 and 1:20 000. Soil suborders with and without textural classification were predicted correctly for 44 and 52% of the soil profiles, respectively. The derived suborder maps agreed with the 1:100 000 and 1:20 000 conventional maps in 20 and 23% (with textural classification) and 41 and 46% (without textural classification) of the area, respectively. Soils that were well defined along relief gradients (Latosols and Argisols) were predicted with up to 91% agreement, whereas soils in complex areas (Cambisols and Neosols) were poorly predicted. Adding textural classification to suborders considerably degraded classification accuracy; thus modelling at the suborder level alone is recommended. Stream density and laboratory soil reflectance improved all classification models, showing their potential to aid digital soil mapping in complex tropical environments.
YMI Tegal Menggunakan Algoritma Naïve Bayes Time Graduation Prediction by Using Naïve Bayes Algorithm at STMIK

Abstrak Kualitas perguruan tinggi, khususnya program studi di Indonesia diukur berdasarkan akreditasi yang dilaksanakan oleh Badan Akreditasi Nasional Perguruan Tinggi atau BAN PT. Kualitas tersebut diukur berdasarkan 7 standar utama, salah satu nya adalah Mahasiswa dan Lulusan. Perguruan tinggi memiliki data akademik dan biodata mahasiswa sejak mereka mendaftar hingga lulus kuliah. Algoritma klasifikasi data mining Naïve Bayes dapat digunakan untuk prediksi kelulusan mahasiswa yang nantinya bisa di kategorikan tepat waktu atau tidak tepat waktu, dari hasil prediksi bisa di manfaatkan untuk dasar pengambilan keputusan sehingga dapat meningkatkan kualitas dari keputusan manajerial institusi. Banyak variabel yang mempengaruhi mahasiswa bisa lulus secara tepat waktu, sehingga dalam penelitian ini menggunakan faktor internal (faktor dari dalam diri sendiri) dan faktor eksternal (faktor dari luar diri sendiri). Faktor eksternal yang digunakan untuk menjadi penentu dalam model ini antara lain status kerja dan status perkawinan.Berdasar faktor tersebut apakah faktor eksternal berpengaruh pada kelulusan mahasiswa secara tepat waktu. Hasil dari penelitian ini adalah pengukuran akurasi, dimana sebelum didapatkan nilai akurasi dilakukan pengujian dengan memanfaatkan ROC Curva dan k-fold cross validation,pengujian dilakukan sebanyak 10 fold. Dari hasil pengujian didapat nilai akurasi rata-rata sebesar 91,29%, sedangkan nilai akurasi tertinggi dari hasil pengujian 10-fold cross validation sebesar 94,34%.
Computing protein dynamics from protein structure with elastic network models

Elastic network models ENMs allow to analytically predict the equilibrium dynamics of proteins without the need of lengthy simulations and force fields, and they depend on a small number of parameters and choices. Despite they are valid only for small fluctuations from the mean native structure, it was observed that large functional conformation changes are well described by a small number of low frequency normal modes. This observation has greatly stimulated the application of ENMs for studying the functional dynamics of proteins, and it is prompting the question whether this functional dynamics is a target of natural selection. From a physical point of view, the agreement between low frequency normal modes and large conformation changes is stimulating the study of anharmonicity in protein dynamics, probably one of the most interesting direction of development in ENMs. ENMs have many applications, of which we will review four general types: (1) the efficient sampling of native conformation space, with applications to molecular replacement in X‐ray spectroscopy, cryo electro‐miscroscopy, docking and homology modeling; (2) the prediction of paths of conformation change between two known end states; (3) the comparison of the dynamics of evolutionarily related proteins; (4) the prediction of dynamical couplings that allow the allosteric regulation of the active site from a distant control regions, with possible applications in the development of allosteric drugs. These goals have important biotechnological applications that are driving more and more attention on the analytical study of protein dynamics through ENMs. WIREs Comput Mol Sci 2014, 4:488–503.
Ethanol Interference on Adenosine System

It is well documented in literature a wide range of behavioral and physiological effects arising from ethanol intake (Spinetta et al., 2008; Soares et al., 2009; Brust, 2010). Because it is a substance that affects differently and simultaneously several neurotransmitter systems, covering different brain areas (Dahchour & De Witte, 2000; Vasconcelos et al., 2008; Vengeliene et al., 2008), it becomes complex to reveal the mechanism of action that governs its effects, being still a challenge for researchers. In addition, ethanol has a biphasic behavioral presenting an excitatory feature in the early stages and a depressant feature in its chronic use.
Investigation of critical burning of fuel droplets

Measurements were made on the burning of liquid hydrazine, MMH, and UDMH in a combustion gas environment. The experimental range of these tests involved gas temperatures of 1660-2530 K, oxygen concentrations of 0-42% by mass and droplet diameters (employing both droplets and porous spheres) of 0.11-1.91 cm. at atmospheric pressure. A simplified hybrid combustion theory was developed which was found to correlate the present results as well as the experimental measurements of other investigators. Measurements were also made of the monopropellant strand burning rates and liquid surface temperatures of a number of nitrate ester fuels and hydrazine at elevated pressures. The temperature measurements for the nitrate esters were found to be in good agreement with a theoretical model which allowed for gas solubility in the liquid phase at high pressures. Experimental results were also obtained on the burning rates and liquid surface temperatures of a number of paraffin and alcohol fuels burning in air pressures up to 72 atm. For these tests, the fuels were burned from porous spheres in a natural convection environment. Initial findings on a pressurized flat flame burner are also described as well as the design of an oscillatory combustion apparatus to test the response of burning liquid fuels.
A THEORETICAL STUDY OF EXCITONS IN CHLOROPHYLL a PHOTOSYSTEMS ON A PICOSECOND TIMESCALE

Abstract— The creation and decay of singlet excitons in structurally‐explicit Chi a photosystems were investigated by numerical integration of the appropriate Master Equations. The antenna chlorophylls were excited by a simulated 6ps Gaussian light pulse. Positions and orientations for the antenna chlorophylls were randomly generated within regions whose size and shape were chosen to be appropriate for the particles observed in freeze‐fractured photosynthetic membranes. Among the variables considered were chlorophyll concentration, depth of the trap (i.e. P680 or P700), and the R0 parameter for Förster transfer. Among the properties considered were antenna fluorescence lifetime; detrapping rates; the instantaneous and integrated quantum yields for antenna fluorescence and intersystem crossing; and the instantaneous and integrated quantum yields for trap fluorescence, intersystem crossing, and photochemistry. A variety of experimental evidence was used as input to the computational model.
Metal-Stabilized Rare Tautomers and Mispairs of DNA Bases: N6-Metalated Adenine and N4-Metalated Cytosine, Theoretical and Experimental Views

Crystal structure studies indicate that metalation of the exocyclic amino group of cytosine and adenine nucleobases by PtII and HgII entities, respectively, induces protonation of a nucleobase ring nitrogen atom, and hence, causes a proton shift from an exocyclic to an endocyclic N atom. This metal-assisted process thus leads to the generation of rare nucleobase tautomers. In principle, such processes can lead to the stabilization of mispairs. The present study reports the first quantum chemical analysis of the metal-assisted tautomerization. The calculations clearly demonstrate that metalation of the exocyclic amino group of nucleobases significantly increases the protonation energy of the aromatic rings of nucleobases by about 30−34 kcal/mol for the PtII adduct and by about 10−14 kcal/mol for the HgII adduct. The calculations suggest that this kind of metalation could, besides the structural changes of DNA, significantly enhance the probability of formation of mispairs in DNA. In the course of the study.
Kinetic investigation of photopolymerizations induced by laser beams

Real time infrared (RTIR) spectroscopy was used to study the kinetics of the polymerization of acrylic monomers exposed to the 337,4 nm continuous emission of a Kr+ laser. Conversion versus time curves were directly recorded in the millisecond timescale, thus allowing a precise evaluation of the polymerization rate and of the induction period due to O2 inhibition. The influence of the type and concentration of photoinitiator and of the laser beam intensity on the polymerization profile was examined for a 20 μm thick polyurethane-acrylate (Actilane 20) coating. The growth of the radical concentration and its dependence on the initiation rate was determined from the kinetics of the dark polymerization which develops just after the laser exposure. Pulsed laser irradiation proved to be very effective in initiating the polymerization, the overall quantum yield reaching values up to 2500 mol · photon−1.
Optimizing ferric sulfate coagulation of algae with streaming current measurements

This study sought to determine ferric sulfate coagulation conditions that lead to effective removal of algae by conventional gravity sedimentation. Using laboratory‐cultured Anabaena flos‐aquae spiked into natural water, charge titrations and jar tests were conducted to evaluate the effects of streaming current value, coagulation pH, and initial algae concentration on the removal of algae, turbidity, and natural organic matter. At pH 6, ferric sulfate doses corresponding to the point of zero charge (PZC), as determined by streaming current measurements, consistently produced low settled water algae concentrations when an anionic flocculant aid was added. In contrast, ferric sulfate coagulation at pH 7.0 and 7.5 was not effective for algae removal because the algae's surface charge could not be sufficiently neutralized. At pH 6 and the PZC, settled water algae concentrations, turbidity, and ultraviolet absorbance at 254 nm were similar for tests conducted at initial algae concentrations of 10,000 and 50,000 cells/mL, but a larger coagulant dose was required to reach the PZC at the higher initial algae concentration. Thus, adjusting coagulant doses based on streaming current value should be effective for maintaining settled water quality in plants that treat waters with rapidly varying influent algae concentrations and/or background water quality. Experiments conducted with a natural algae bloom sample confirmed that ferric sulfate coagulation at pH 6 and the PZC was effective for algae removal.
Perceptions of employees, on the self-management of their diabetes mellitus, working in selected industries in Cape Town

ii ACKNOWLEDGEMENTS . iii DEDICATION. iv TABLE OF CONTENTS . v DEFINITION OF TERMS . xi LIST OF ABBREVIATIONS . xii 1 CHAPTER 1 . 1 ORIENTATION TO THE STUDY . 1 1.
Theoretical analysis of two hot water cabinet systems for decontamination of sides of beef

Summary The theory underlying the use of hot water to reduce the numbers of microbial contaminants of public health significance on freshly slaughtered animals was investigated. An analysis of steady-state predictions of microbial reductions and accompanying evaporative heat and mass losses in a hot water cabinet for the decontamination of beef sides is developed, based on published correlations. This is more comprehensive than previously undertaken and is used to compare two methods of contacting hot water with the sides of beef: conventional pressure sprays and an alternative, overhead distributor or ‘deluge’ system. Predictions indicate that a distributor cabinet does not need doors or thermal insulation, and highlight the potential economy and practical advantages over conventional spraying.
Simulation of the vapour bubble growth on a heated plate under microgravity in presence of a non-condesable gas

This work deals with the modelling and the numerical simulation of the transport phenomena taking place during the pool boiling of a hydrofluoroether (HFE) on a heated flat plate under microgravity conditions, with HFE containing dissolved nitrogen (noncondensable gas, N2), which has been experimentally investigated in the Sounding Rocket Maser 11 [1]. Considering a HFE vapour bubble initially set on the plate, the heat flux triggers the HFE vaporization coupled with the N2 desorption and a Marangoni-induced interfacial liquid motion. The mass, heat and momentum transport equations are re-written in a reference frame with a constant radius in order to simulate the dynamical evolution of the growing bubble on a fixed computational domain [2]. Using a simplified model for the interfacial vaporizationdesorption process, simulations are realized to investigate the mutual interactions between the different phenomena. Typical simulation results are presented in Fig. 1, where it can be observed that the Marangoni flow induces a vortex in the vapour bubble. The coupling between the vaporization-desorption and the convective transport in the bubble leads to an accumulation of the N2 at the bubble top, inducing a local HFE re-condensation (suggested by [1]), which may influence the Marangoni flow. These simulation results will be compared to the experimental results and will be further analysed to identify the governing phenomena.
ANTI-NEUTROPHIL CYTOPLASMIC ANTIBODIES NEGATIVE EOSINOPHILIC GRANULOMATOUS POLYANGIITIS GLOMERULONEPHRITIS IN CHILDREN - A DIAGNOSTIC DILEMMA

Shobha Sharma1, Suprita Kalra2, Aditi Sinha3, Arvind Bagga4 From 1Department of Pediatrics and Pediatric Nephrology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India, 2Department of Pediatrics and Pediatric Nephrology, Command Hospital and AFMC, Pune, Maharashtra, India, 3Depatments of Pediatrics and Pediatric Nephrology and 4Division of Pediatric Nephrology, All India Institutes of Medical Sciences, New Delhi, India Correspondence to: Dr. Shobha Sharma, Department of Pediatrics and Pediatric Nephrology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India. E-mail: oum.shobha76@gmail.com Received 02 November 2017 Initial Review 02 December 2017 Published Online 19 January 2018
State-of-the-Art Technologies for Separation of Azeotropic Mixtures

Azeotropic separation technologies have been classified broadly into two major categories, i.e., distillation and membrane processes. Because normal distillation has limitations for azeotropic mixtures, enhancements have been proposed that either introduce a third component serving as an entrainer in extractive and azeotropic distillation processes or apply a pressure swing distillation system. Among the membrane processes, pervaporation was reported to be most promising for azeotropic separations. More recently, an approach known as process intensification has been proposed for combining multiple processes into single units such as a dividing wall distillation column or exploiting sonication phenomena to break an azeotrope in an ultrasonic distillation system. This article reviews the state-of-the-art technologies covering all the separation techniques mentioned here. Existing techniques are appraised, and technology gaps are identified. Based on these insights, areas for further development are suggested, aiming at satisfying the process objectives by inherently safer, environmentally benign and economically more attractive techniques.