Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of nutrients on the survival of Escherichia coli in lake water

Escherichia coli was shown to survive without decline in viable counts for at least 12 d in filtered-autoclaved lake water. In unfiltered lake water there was a rapid decline in the viable count of E. coli. The addition of synthetic sewage to filtered-autoclaved lake water led to an increase in the viable count of E. coli at 15°C and 37°C and to an increase in the survival time of the E. coli in unfiltered water. The addition of phosphate and carbon sources (glucose, glycerol, succinate, acetate and lactose) did not significantly increase the survival time of E. coli in unfiltered water over the controls. The addition of ammonium sulphate and some amino acids (as nitrogen sources) to the unfiltered lake water did lead to an increase in the survival times for E. coli and this increase was proportional to the concentration of the added nitrogen source.
Cement hydration: the role of adsorption and crystal growth

Portland cement is a fundamental structural and binding material for industry and society. Its structural and physical properties at different scales show a complexity that can presently be barely managed through experimental and computational methods. State of the art problems and trends in cement studies will be briefly assessed from the point of view of the processes at the molecular scale.
CFD modeling and validation of the turbulent fluidized bed of FCC particles

An experimental and computational study is presented on the hydrodynamic characteristics of FCC particles in a turbulent fluidized bed. Based on the Eulerian/Eulerian model, a computational fluid dynamics (CFD) model incorporating a modified gas-solid drag model has been presented, and the model parameters are examined by using a commercial CFD software package (FLUENT 6.2.16). Relative to other drag models, the modified one gives a reasonable hydrodynamic prediction in comparison with experimental data. The hydrodynamics show more sensitive to the coefficient of restitution than to the flow models and kinetics theories. Experimental and numerical results indicate that there exist two different coexisting regions in the turbulent fluidized bed: a bottom dense, bubbling region and a dilute, dispersed flow region. At low-gas velocity, solid-volume fractions show high near the wall region, and low in the center of the bed. Increasing gas velocity aggravates the turbulent disorder in the turbulent fluidized bed, resulting in an irregularity of the radial particle concentration profile. © 2009 American Institute of Chemical Engineers AIChE J, 2009
A 15-ns 1-Mbit CMOS SRAM

A 1-Mbit CMOS static RAM (SRAM) with a typical address access time of 9 ns has been developed. A high-speed sense amplifier circuit, consisting of a three-stage PMOS cross-coupled sense amplifier with a CMOS preamplifier, is the key to the fast access time. A parallel-word-access redundancy architecture, which causes no access time penalty, was also incorporated. A polysilicon PMOS load memory cell, which had a large on-current-to-off-current ratio, gave a much lower soft-error rate than a conventional high-resistance polysilicon load cell. The 1-Mbit SRAM, fabricated using a half-micrometer, triple-poly, and double-metal CMOS technology, operated at a single supply voltage of 5 V. An on-chip power supply converter was incorporated in the SRAM to supply a partial internal supply voltage of 4 V to the high-performance half-micrometer MOS transistors. >
Mansoni schistosomiasis in experimentally undernourished mice

Mansoni schistosomiasis was studied in mice fed on a low protein diet. Four groups of the Swiss breed Mus musculus were used in an experiment with two factors, each with two levels: 1-non-infected, normal diet; 2 - infected, normal diet ; 3 - non-infected, low protein diet; 4 - infected, low protein diet. The mice were killed for observation at age 90 days, after 60 days of infection, for those infected. It was found that the worms suffered the effects of malnutrition, mainly males, whose population count was cut by half, in addition to poor individual growth. The hepatic granuloma count was found to be smaller in the undernourished group; while the corresponding lesions were also generally smaller. There was a marked leukopenia in the malnourished mice, even more so in the infected mice. The severe lymphopenia and eosinopenia observed suggest that the immunologic system of the host was affected by malnutrition. Mortality rates were far larger in the infected, low protein diet group. One may then surmise that the malnourished mice offered lower resistance to the infection, their lower number of granuloma notwithstanding.
Adsorption of NH3 and NO2 molecules on carbon nanotubes

Adsorption of NH3 and NO2 molecules on semiconducting single-walled carbon nanotubes is investigated using density functional theory. Both NH3 and NO2 molecules are found to bind to carbon nanotubes via physisorption. Electron charge transfer is found to be a major mechanism determining the conductivity change in carbon nanotubes upon exposure to NH3 and NO2 molecules. The calculated density of states is also considered to elucidate the differences in the NO2 and NH3 gas detection mechanism of carbon nanotubes.
Degradation of organic pollutants by heterogeneous electro-Fenton process using Mn-alginate composite.

BACKGROUND The exploration of new technology based on electro-Fenton-like process has advantageous and unique environmental implications, however, scaling up to permit operation in continuous mode is a decisive stage to be researched. RESULTS A new metal–organic composite, manganese–alginate (Mn-AB) was synthesized. It was characterized by scanning electron microscopy and the results showed that manganese was uniformly distributed on the surface of alginate beads. A comparative study of the decolorization of Reactive Black 5 demonstrated that the best performance was obtained by heterogeneous electro-Fenton using Mn-AB as catalyst. In addition, operation over four successive batches and continuous mode, showed high activity and stability of the catalyst Mn-AB without operational problems, and maintained particle shape throughout the oxidation process. The ability of Mn-AB catalyst for the degradation of other pollutants (imidacloprid, di-2-ethylhexyl phthalate, 4-nitrophenol) was confirmed by identification of several reaction intermediates using liquid chromatography–mass spectrometry (LC-MS) and gas chromatography–mass spectrometry (GC-MS). CONCLUSION The efficiency of the new Fenton-like catalyst developed in this study was successfully demonstrated. Results validate an adequate heterogeneous electro-Fenton-like process to continuously remediate organic pollutants in aqueous medium. © 2014 Society of Chemical Industry
Cellular solids: Structure & properties

1. Introduction 2. The structure of cellular solids 3. Material properties 4. The mechanics of honeycombs 5. The mechanics of foams: basic results 6. The mechanics of foams refinements 7. Thermal, electrical and acoustic properties of foams 8. Energy absorption in cellular materials 9. The design of sandwich panels with foam cores 10. Wood 11. Cancellous bone 12. Cork 13. Sources, suppliers and property data Appendix: the linear-elasticity of anisotropic cellular solids.
A novel strategy for sequential analysis of gold nanoparticles and gold ions in water samples by combining magnetic solid phase extraction with inductively coupled plasma mass spectrometry

In this work, Al3+ immobilized Fe3O4@SiO2@iminodiacetic acid (IDA) was prepared and its extraction performance for gold nanoparticles (AuNPs) and gold ions (Au ions) was investigated. It was found that AuNPs and Au ions could be simultaneously retained on this adsorbent and their separation was achieved by sequential elution of Au ions and AuNPs with Na2S2O3 and NH3·H2O, respectively. Based on it, a novel strategy by coupling magnetic solid phase extraction (MSPE) with inductively coupled plasma mass spectrometry (ICP-MS) was developed for the speciation of AuNPs and Au ions in environmental water samples. Various experimental parameters affecting MSPE of AuNPs and Au ions have been investigated carefully. AuNPs in a size range of 14–140 nm and with different coatings, including citrate, 11-mercaptoundecanoic acid (MUA), polyvinylpyrrolidone (PVP) and cetyltrimethylammonium bromide (CTAB), could be quantitatively determined by the proposed method. And the size and shape of the AuNPs were found to remain unchanged during the extraction process; thus the elution solutions could be directly introduced into ICP-MS without digestion. The developed MSPE-ICP-MS method has been applied in the analysis of AuNPs in natural water, sewage water and even sea water samples and Au ions in natural water samples with satisfactory results. Compared with the established methods for metal nanoparticle analysis, the developed method is more sensitive, faster, easier-to-operate, requires no digestion, and provides more valuable information for environmental monitoring and the assessment of nanoparticles' toxicity.
Single molecule fluorescence: from physical fascination to biological relevance

Confocal fluorescence microscopy is particularly well-known from the beautiful images that have been obtained with this technique from cells. Several cellular components could be nicely visualized simultaneously by staining them with different fluorophores. Not only for ensemble applications but also in single molecule research confocal fluorescence microscopy became a popular technique. In this thesis the possibilities are shown to study a complicated biological process, which is Nucleotide Excision Repair (NER), on the single molecule level with confocal fluorescence microscopy. In chapter one an introduction is given in single molecule fluorescence, properties of fluorescent labels and immobilization methods. Also the NER process is described and the configuration of the confocal fluorescence microscope used.
Effects of Soil pH on Four Field-Grown Nursery Crops

r - - - - - - - - - - - - - - - - - - - Abstract - - - - - - - - - - - - - - - - - - - . Four woody nursery crop~ were grown for ~ years (1981-1983) in plots with varying pH levels. Greater growth of 'Compacta' Japanese hol~y and Fos~er s holly occurred . In 1981 and 1982 at lo~er pH levels (4.1-5.8). However, Mn phytotoxic symptoms appeared on Compacta ~apanese holl~ dunng the f~ll of 19.82. Fohar Mn levels of all 4 species exceeded 2500 ppm when grown at t~e lowest pH level, wIth the exc~ptIon of Foster ~ holly In 1983. Growth of 'Nellie R. Stevens' holly was not affected by pH, whl1e Taxus growth was enhanced In 1983 at the hIgher pH levels (4.7-5.9). Foliar nutrient concentration trends were similar among the 4 crops. words: r - - - - - - - - - - - - - - - - - - - Abstract - - - - - - - - - - - - - - - - - - - . Six woody landscape species were field-grown with 4 irrigation rates based on 0%, 25%, 50%, and 100% replacement of net evaporation from a class A pan. Optimum irrigation rates varied by species. Japanese holly 'Petite Point' (flex crenata 'Petite Point'), flowering dogwood (Cornusflorida) , green ash (Fraxinus pennsylvanica) , and river birch (Betula nigra) had greater growth when irrigated compared to non-irrigated plants. Increases in caliper due to trickle irrigation occurred during the second growing season for 3 tree species. Growth of Pyrus calleryana 'Bradford' ('Bradford' pear) and pin oak (Quercus palustris) was similar regardless of irrigation rates. Only 'Petite Point' Japanese holly had improved livability as a result of trickle irrigation. words:
Genetic origin of diversity of human cytoskeletal tropomyosins.

Human fibroblasts express five tropomyosin-like proteins, three of which have been shown to be structurally related to each other and to tropomyoins from muscle sources. These cytoskeletal tropomyosins are transcribed from three separate, non-overlapping structural genes. However, each of these structural genes can also produce additional tropomyosin isoforms by a tissue-specific alternative mRNA splicing mechanism.
Fluorescence Resonance Energy Transfer Based Biosensor for Rapid and Sensitive Gene-Specific Determination

Integration of nanomaterial and biomolecular recognition is a promising direction in nanotechnology to develop novel molecular analytical and diagnostic techniques. This work reports a biosensor for rapid and sensitive gene-specific detection based on fluorescence resonance energy transfer (FRET). The gene specific detection was employed interactions between graphene oxide and DNA molecules. Due to noncovalent bonding of single stranded DNA with graphene oxide, the fluorescence of the dye on the molecular probe was quenched with high efficiency; however, in the presence of the specific target, the fluorescence of the biosensing system recovered with a high signal-to-background ratio. The nanobiosensor exhibited high sensitivity and excellent specificity in the determination of a gene for hepatitis B virus MD26. The polymeric material polyvinylpyrrolidone was shown to enhance the limit of detection for specific genes. With the advantages of simple, rapid, sensitive, and inexpensive determination, the graphene oxide based nanobiosensor is a promising tool for molecular recognition in clinical diagnosis.
Alpha-irradiation damage in CeO2, UO2 and PuO2

Abstract Sintered pellets of CeO2 and UO2, as well as PuO2 powder, have been irradiated with alpha particles emitted from an effectively semi-infinite 238PuO2 source. The lattice parameters of all three materials increased with dose, Dα, according to the expression δa/a0 = A[1—exp(—BDα)], in agreement with a previously developed model. The recovery behavior of the lattice defects has been studied by isochronal annealing. Two recovery stages were observed in the temperature range between 50 and 1000°C for each material, and the activation energies were estimated based on previous single crystal studies. Comparisons with self-damage from alpha decay are made, and the behavior of the lattice defects is discussed.
The FASTA program package

This documentation describes the version 36 of the FASTA program package (see W. R. Pearson and D. J. Lipman (1988), “Improved Tools for Biological Sequence Analysis”, PNAS 85:2444-2448, [17] W. R. Pearson (1996) “Effective protein sequence comparison” Meth. Enzymol. 266:227258 [15]; and Pearson et. al. (1997) Genomics 46:24-36 [18]. Version 3 of the FASTA packages contains many programs for searching DNA and protein databases and for evaluating statistical significance from randomly shuffled sequences. This document is divided into four sections: (1) A summary overview of the programs in the FASTA3 package; (2) A guide to using the FASTA programs; (3) A guide to installing the programs and databases. Section (4) provides answers to some Frequently Asked Questions (FAQs). In addition to this document, the changes v36.html, changes v35.html and changes v34.html files list functional changes to the programs. The readme.v30. v36 files provide a more complete revision history of the programs, including bug fixes. The programs are easy to use; if you are using them on a machine that is administered by someone else, you can focus on sections (1) and (2) to learn how to use the programs. If you are installing the programs on your own machine, you will need to read section (3) carefully. FASTA and BLAST – FASTA and BLAST have the same goal: to identify statistically significant sequence similarity that can be used to infer homology. The FASTA programs offer several advantages over BLAST:
Mode analysis of gyrotron radiation by far field measurements

The possibility and convenience of identifying the mode composition at the output of high power gyrotrons and analyzing the mode conversion properties of overmoded waveguide components (tapers, bends, mode converters) by measuring the radiation pattern from an open-ended circular waveguide in the far field region are studied. The method has been simplified remarkably by using spatial correlations of the field amplitudes at selected angles.
Administrative Succession and Organizational Performance: How Administrator Experience Mediates the Succession Effect

Analysis of data for 22 teams in the National Basketball Association (NBA) indicated that succession has no effect on subsequent team performance when prior performance is controlled, a result consistent with those of other studies. However, when the competence of new coaches is included in the analysis, it appears that succession affects subsequent performance. Teams in which succession occurred, and in which (1) the coach had a good prior record, (2) had prior experience in the NBA or ABA, or (3) had brought about performance improvements in other teams, performed better than teams whose new coaches either lacked experience or had performed less well in the past. The results suggest that attempts to estimate succession effects need to consider the competence of successors.
ON THE SQUATTING OF SHIPS IN SHALLOW AND RESTRICTED WATER

A major feature of the advances in marine technology is the increasing number, size and speed of ships and, consequently, an increased interest in hydrodynamic problems associated with water restricted in depth and/or lateral extent. The transport of dangerous cargoes and their impact on the benefits of resolving the areas of uncertainty. Experience of 1,104 vessels of different flags and trades during 1978, shows that grounding/stranding is the third most frequent cause of damage[1], An examination of the total expenditure of money and time required to repair the resulting damage shows this category to rank highly in both. Indeed, the total repair cost expended as a result of this cause rank top and account for more than l/5th of the total. Although the shipowner bears a large proportion of the cost of lost revenue, grounding represents a significant cost to underwriters, shipowners and port authorities. The continuous increase in size and draught of vessels in relation to water depth ensures that this situation will continue unless there is a radical development in instrumentation. To limit the risk of grounding it is extremely important to be able to predict which of a vessel's extremities will experience the greatest sinkage and ground. Where the underkeel clearance is low, reasonable accuracy is demanded in order to ensure safety and to avoid unduly reducing the earning capacity of the vessel by overcaution. This requires a sound knowledge of a vessel's tendency to 'squat'.
Utilização de modelos farmacocinéticos de base fisiológica no desenvolvimento de novos fármacos

IV Indice de figuras VI Indice de Tabelas VII Abreviaturas VIII 1. Introducao 1 2. Definicao de modelos farmacocineticos baseados na fisiologia (PBPK) . 3 2.1. Limitacoes 6 3. Modelos PBPK 8 3.1. Definicao de modelos de estrutura farmacocinetica baseados na fisiologia de todo o corpo 8 3.2. Modelos de Tecidos 10 3.3. Equacoes dos modelos 14 3.4. Parâmetros dos modelos PBPK 18 3.4. 1. Parâmetros fisiologicos 18 3.4. 2. Parâmetros dependentes do composto 19 3.4. 2.1. Dados in vivo 20 3.4. 2.2. Dados in vitro 21 3.4. 2.3. Dados in silico 24 4. Aplicacoes 27 5. Perspectivas futuras 28 6. Conclusao 30 7. Referencias Bibliograficas 31
Learning Equivariant Representations

State-of-the-art deep learning systems often require large amounts of data and computation. For this reason, leveraging known or unknown structure of the data is paramount. Convolutional neural networks (CNNs) are successful examples of this principle, their defining characteristic being the shift-equivariance. By sliding a filter over the input, when the input shifts, the response shifts by the same amount, exploiting the structure of natural images where semantic content is independent of absolute pixel positions. This property is essential to the success of CNNs in audio, image and video recognition tasks. In this thesis, we extend equivariance to other kinds of transformations, such as rotation and scaling. We propose equivariant models for different transformations defined by groups of symmetries. The main contributions are (i) polar transformer networks, achieving equivariance to the group of similarities on the plane, (ii) equivariant multi-view networks, achieving equivariance to the group of symmetries of the icosahedron, (iii) spherical CNNs, achieving equivariance to the continuous 3D rotation group, (iv) cross-domain image embeddings, achieving equivariance to 3D rotations for 2D inputs, and (v) spin-weighted spherical CNNs, generalizing the spherical CNNs and achieving equivariance to 3D rotations for spherical vector fields. Applications include image classification, 3D shape classification and retrieval, panoramic image classification and segmentation, shape alignment and pose estimation. What these models have in common is that they leverage symmetries in the data to reduce sample and model complexity and improve generalization performance. The advantages are more significant on (but not limited to) challenging tasks where data is limited or input perturbations such as arbitrary rotations are present.
Conservative semi-Lagrangian schemes for a general consistent BGK model for inert gas mixtures

In this work, we propose a class of high order semi-Lagrangian scheme for a general consistent BGK model for inert gas mixtures. The proposed scheme not only fulfills indifferentiability principle, but also asymptotic preserving property, which allows us to capture the behaviors of hydrodynamic limit models. We consider two hydrodynamic closure which can be derived from the BGK model at leading order: classical Euler equations for number densities, global velocity and temperature, and a multi-velocities and temperatures Euler system. Numerical simulations are performed to demonstrate indifferentiability principle and asymptotic preserving property of the proposed conservative semi-Lagrangian scheme to the Euler limits.
Spread Mechanism and Influence Measurement of Online Rumors during COVID-19 Epidemic in China

In early 2020, the Corona Virus Disease 2019 (COVID-19) epidemic swept the world. In China, COVID-19 has caused severe consequences. Moreover, online rumors during COVID-19 epidemic increased people's panic about public health and social stability. Understanding and curbing the spread of online rumor is an urgent task at present. Therefore, we analyzed the rumor spread mechanism and proposed a method to quantify the rumor influence by the speed of new insiders. We use the search frequency of rumor as an observation variable of new insiders. We calculated the peak coefficient and attenuation coefficient for the search frequency, which conform to the exponential distribution. Then we designed several rumor features and used the above two coefficients as predictable labels. The 5-fold cross-validation experiment using MSE as the loss function shows that the decision tree is suitable for predicting the peak coefficient, and the linear regression model is ideal for predicting the attenuation coefficient. Our feature analysis shows that precursor features are the most important for the outbreak coefficient, while location information and rumor entity information are the most important for the attenuation coefficient. Meanwhile, features which are conducive to the outbreak are usually harmful to the continued spread of rumors. At the same time, anxiety is a crucial rumor-causing factor. Finally, we discussed how to use deep learning technology to reduce forecast loss by use BERT model.