Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical solution temperatures of mixtures of gasoline, n-propyl alcohol, and water

Data are presented on the separation temperatures of mixtures of 5, 10, 15, 20, and 25 percent of n-propyl alcohol of various water contents with each of three gasolines. These data are compared with similar data on mixtures of gasoline with ethyl alcohol, and it is shown that the water tolerances of mixtures of gasoline with n-propyl alcohol are, in general, greater than those of corresponding mixtures with ethyl alcohol. CONTENTS Page
Obtaining models suitable for Rietveld refinement: the EXPO2011 techniques

Abstract Rietveld refinement succeeds if the model is sufficiently close to the target structure. Severe distortions in the structural parameters or relatively high percentage of missed atoms do not allow the refinement to converge. Ab initio techniques like Direct or Patterson methods may rely only on the reflection intensities provided by full pattern decomposition algorithms. Owing to the relevant errors in the intensity estimates, the structural models provided by such phasing techniques are poor and require supplementary improvements before being submitted to Rietveld refinement. The situation is more favorable for non-ab initio techniques, when they can exploit the prior information on the full molecular geometry: their models can be easily submitted to Rietveld refinement, but often the accuracy of the refined model relies on the geometrical information rather than on the experiment. In this paper ab initio and non-ab initio phasing tools of EXPO2011, the updated and more powerful version of EXPO2009 [1], are described together with ancillary techniques for improving and completing the structural models.
Car’s Selling Price Prediction using Random Forest Machine Learning Algorithm

India has one of the biggest automobile markets all over the globe every day many buyers usually sell their cars after using for the time to another buyer, we call them as 2nd /3rd owner etc. Many platforms such as cars24.com, cardekho.com and OLX.com provides these buyers with a platform where they can sell their used cars, but what should be the price of the car, this is the toughest question ever. Machine Learning algorithms can bring a solution to this problem. Using a history of previously used cars selling data and using machine learning techniques such as Supervised Learning can predict a fair price of the car, here I also used machine learning algorithms such as Random Forest and Extra Tree Regression along with powerful python library Scikit-Learn to predict the selling price of the used car. The result has shown that these both algorithms are highly accurate in prediction even the dataset is large or small, irrespective of the size of the dataset they give a precise result.
Reducing miR485-3p ameliorates Alzheimer`s disease pathology by regulation of amyloid beta and neuro-inflammation

Background Alzheimer`s disease (AD) is a progressive neurodegenerative disease worldwide. Accumulation of amyloid-β (Aβ), neurofibrillary tangles and neuroinflammation play the important neuro-pathology in patients with AD. miRNA is multifunctional and involved in physiological and pathological processes. Recently, microRNAs have been linked to neurodegenerative diseases. However, it is little known whether miRNA dysregulation contributes to AD pathology progression such as Ab processing, phagocytosis and neuroinflammation. Here, we identify miR485-3p as a novel modulator of AD pathology in 5XFAD mice. Methods To study the role of miR485-3p in AD, we used in control or miR485-3p antisense oligonucleotides (miR485-3p ASO) injected 5XFAD mouse model. Changes of Ab processing, clearance and inflammation were analyzed by biochemical method in vitro and in vivo. Results This study suggests that miR485-3p, a novel miRNA targeting SIRT1 may contribute to pathogenesis in an AD mouse. We found SIRT1 is significantly reduced in the precentral gyrus of Alzheimer patient`s and in 5XFAD mice. To determine whether the inhibition of miRNA 485-3p would affect AD pathology, we studied the effect of the antisense oligo in the brain of 5XFAD mice through direct intracerebral ventricular injection with miR485-3p ASO. We demonstrated that miR485-3p ASO significantly reduced Aβ plaque and amyloid biosynthetic enzyme. Importantly, the attenuation of Aβ plaques through miR485-3p ASO was mediated through Aβ phagocytic activity of glial cells, by which it can directly target CD36. MiR485-3p ASO also decreased inflammatory responses. Collectively, these responses inhibited neuronal loss caused by Aβ lead to improvements of cognitive impairment. Conclusion Our data provide evidence for the molecular mechanisms which underlie the miR485-3p ASO responses in an AD mouse model. These results suggest that attenuating miRNA 485-3p levels might represent a novel therapeutic approach in AD.
A polyhedral conic functions based classification method for noisy data

This paper presents a robust binary classification method, which is an extended version of the Modified Polyhedral Conic Functions (M-PCF) algorithm, earlier developed by Gasimov and Ozturk. The new version presented in this paper, has new features in comparison to the original algorithm. The mathematical model used in the new version, is relaxed by allowing some inaccuracies in an optimal way. By this way, it is aimed to reduce the overfitting and improve the generalization property. In the original version, the sublevel set of a separating function generated at every iteration, does not contain any element of the other set. This is changed in the new version, where the sublevel sets of separating functions generated by the new algorithm, are allowed to contain some elements from other set. On the other hand, the new algorithm uses a tolerance parameter which prevents generating "less productive separating functions". In the original version, the algorithm continues till all points of the "first" set are separated from the second one, where a separating function is generated if there still exist unseparated elements regardless the number of such elements. In the new version, the tolerance parameter is used to terminate iterations if there are only a few unseparated elements. By this way, it is aimed to improve the generalization property of the algorithm, and therefore the new version is called Parameterized Polyhedral Conic Functions (P-PCF) method. The performance and efficiency of the proposed algorithm is demonstrated on well-known datasets from the literature and on noisy data.
Methods to Improve the Cogging Torque Robustness Under Manufacturing Tolerances for the Permanent Magnet Synchronous Machine

This article discusses a method to consider the effects of the manufacturing uncertainties on the additional cogging torque harmonics. With this method, the sensitivity analysis can be incorporated into the design stage instead of just checking it afterwards. With the authors’ previous work of the worst-uncertain-combination-analysis (WUCA) method, several design parameters and their effects on the additional cogging torque harmonics under uncertainties are discussed. It is demonstrated that a design with inherent robustness can be obtained through the proper selection of pole-arc coefficient and slot-opening width. In addition, a sensitivity index is proposed to estimate the effects of parameter uncertainties on torque harmonics. Some suggestions on improving the design robustness are consequently provided from the aspects of tolerances control and parameter design. The deductions are verified through finite element analysis (FEA) on different pole/slot configurations.
Two-Dimensional Modeling of an Externally Irradiated Slurry Photoreactor

Abstract A batch cylindrical photocatalytic reactor, externally irradiated by 1–6 UV fluorescent lamps and containing a stirred slurry of polycrystalline TiO2, was modeled by coupling a modified Langmuir–Hinshelwood kinetics together with a two-dimensional light intensity field. The radiation field has been determined on the main assumptions of diffuse radiation, isotropic scattering and negligible backward reflected photon flow. The model has been applied to the photocatalytic oxidation of organic substrates which do not undergo homogeneous photochemical degradation. The model is characterized by the following four parameters: the kinetic constants of substrate adsorption, desorption and degradation and the exponent of the power law expressing the kinetics dependence on the light intensity. The model constants may be determined by applying a simple least-squares best fitting procedure.
Experimental results and optimization via design of experiment (DOE) of the copper ion recovery from aqueous solutions using emulsion liquid membrane (ELM) method

Copper ion recovery from aqueous solutions is of particular importance due to the need for an environment free of industrial pollution. The emulsion liquid membrane (ELM) has a high potential to recover and remove metal ions. In this research, first, using a liquid–liquid extraction method, the parameters affecting the extraction of copper ion were investigated. Then, by identifying the influential parameters on the test process, using the ELM method, the parameters affecting the copper ion separation were examined using a bi-functional polyethylene glycol carrier. In addition, the design of the experiment with Design Expert 10 software was used to investigate and compare with laboratory results. For this purpose, the central composite design method was used to study the factors affecting the copper ion separation. In conclusion, by optimizing the operational conditions, about 99% extraction efficiency for copper ion was achieved.
Mouse models to study genes involved in hematological malignancies

Abstract Hematological malignancies, including leukemia and lymphoma, consist a group of highly heterogeneous neoplasms characterized by numerous genetic lesions specific for the type of the disease. In order to understand, the role of a particular alteration in the development of a malignancy functional studies have to be carried out in vitro, in cell lines derived from primary cancer cells. Further efforts to understand the mechanisms underlying blood disorders including malignant transformation and progression relies on model organism research. Numerous transgenic mouse models, carrying human oncogenes have been generated resembling distinct types of hematological disorders. Recent technological advances revolutionized the generation of animal models making it much easier, faster, and precise. The introduction of the CRISPR-Cas9 technology allows for rapid generation of novel knockout or transgenic animals, and the development of conditional site- and time-specific Cre-Lox gene targeting technology, allows studying the function of genes which are relevant to normal hematopoiesis and development of hematological malignancies, but lethal when knocked out in embryonic cells. Besides the studies on gene function, mouse models of human leukemia allow for discovery and testing of novel antileukemic drugs. These new technologies are deepening our understanding of disease pathophysiology and treatment resistance, as well as are leading to novel therapeutic strategies for improved outcomes in patients.
Removal of arsenic (V) from aqueous medium using manganese oxide coated lignocellulose/silica adsorbents

ABSTRACT Arsenic (V) adsorption on manganese oxide coated rice wastes was investigated in this study. The modified adsorbents were characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy, and pH measurements to determine the point of zero charge. Batch adsorption equilibrium experiments were conducted to study the effects of pH, contact time, and initial concentration on arsenic removal efficiency. The adsorption capacity of rice waste was significantly improved after modification with permanganate. The Langmuir isotherm model fitted the equilibrium data better than the Freundlich model which confirms surface homogeneity of the adsorbent. Maxima adsorption capacities are determined as 10 and 12 mg/g at pH 3 for manganese oxide coated rice husk and straw, respectively. The adsorption energy indicates that the adsorption process may be dominated by chemisorption. Pseudo-second-order rate equation described the kinetics sorption of arsenic with good correlation coefficients, better than a pseudo-first-order equation. Manganese oxide coated rice husk and straw appear to be promising low cost adsorbents for removing arsenic from water.
Study on Stability and Prescription Screening of Oxaprozin Gel

OBJECTIVE To study the preparation and the stability of oxaprozin gel.METHODS Permeation test was carried out by us- ing Franz diffusion cell with isolated rat skin in vitro as transdermal barrier.The orthogonal design was used to investigate the effect of the amount of oxaprozin,the concentration of Azone and the dosage of propylene glycol on the transdermal of oxaprozin gel.The stability of oxaprozin gel was measured by stability experiment.RESULTS The optimal formulation of oxaprozin gel was 3% Azone,10% propylene glycol and 2% oxaprozin.The process of pereutaneous permeation of oxaprozin gel in vitro was similarly zero order.The results of stability test indi- cated that there were no marked changes in the content,spread and appearance of gel.CONCLUSION The gel of oxaprozin has good stabil- ity.
Coating TiO2 Anatase by Amorphous Al2O3: Effects on Dyes Anchoring Through Carboxyl Groups

We have studied by density functional theory the amorphous Al2O3 (a-Al2O3)/TiO2 anatase (101) interface. The a-Al2O3 sample was generated by following a “melt and quench” technique, in which the corundum phase of Al2O3 was first melted at the temperature of 5000 K and then gradually cooled to 0 K. Once placed on TiO2 anatase, the overlayer has been employed for the adsorption of formic acid (HCOOH). Compared to the bare anatase (101), the adsorption of HCCOH is enormously stabilized in the presence of the coating, regardless of its thickness. Additional calculations confirm the trend also when the benchmark N3 dye, binding through two carboxyl groups (−COOH), is used. These results help to understand the improvement in dye-sensitized solar cell efficiencies after the a-Al2O3 coating of the TiO2 electrode.
Approximate Factorization of Molecular Potential Surfaces II. Internal Rotors

Scaling models for the polyatomic potential energy surface occupy a ground intermediate between ab initio surfaces and random matrix models. They are useful for the study of vibrational energy redistribution (IVR) in large molecules, and have been shown to reproduce many features of more accurate spectroscopically fitted or ab initio potential surfaces. A previous analysis of potential constants and coupling matrix elements [J. Chem. Phys. 106 (1977) 5874] considered modes that maintain vibrational character up to the dissociation limit. Here we discuss factorization and scaling properties of the vibrational Hamiltonian in the presence of an internal rotor. We find that the “rotor effect” is most pronounced for delocalized skeletal vibrations, potentially resulting in increased IVR of “bath” states compared to “bright” states. For localized vibrational modes that involve atomic displacements near the rotor, the local density of states is enhanced, while for more remote localized modes, the effect is negligible.
PPE 59 immunoreactivity in tuberculosis patients: IgA immunodominance to that IgG and IgM

Background: The role of protein families PE/PPE remains relatively enlightening. The gene rv3429, coding the PPE59 protein, is one of the 12 members of the PPE subfamily, and it is absent in all BCG strains. Although elicits low T cell response, there are no clues for the ability to induce a humoral response. Methods: We cloned, expressed, and analyzed by ELISA IgG, IgM and IgA anti PPE59 in 212 sera. Of them, 69 were from tuberculosis patients’ residents in Italy (TBIT, 12 native and 67 immigrants), the remaining 133 are Brazilians citizens (BR). Pulmonary (pTBIT) or extrapulmonary (eTBIT) clinical forms were 54 or 25. The pTBBR were 52 and 81 non-TB patients, including 10 non-tuberculous mycobacteria infected (NTM). Results: Keeping the specificity at 97%, IgA sensitivity decreased from pTBBR (53%) to pTBIT (38%) and eTBIT (28%), with an overall sensitivity of 42.7% and moderate accuracy (61.8 %), while IgG showed significant lower (p<0.0001) performance, 21%, 3%, 0%, 9% and 37%, respectively, at specificity of 83%. Groups were not discriminate by IgM. False-positive NTM IgG was high. Combination 16kDa IgG, previously performed only on Bazilians’ sera, plus PPE 59 IgA results increased sensitivity to 71% at 87.4% specificity. The overall smear microscopy (SM) diagnosis was 70.8% and a combination of SM/IgA increased sensitivity to 74% (p=0.01), mainly among SM- cases. Among pTBBR, all these rapid tests, including SM, sensitivity reach 86.5% (p=0.001). Positive IgA polarization was significant in extensive lung disease (p=0.001) and alcohol users (p=0.04). Conclusion: Although PPE59 IgA independently has moderate accuracy on TB diagnosis, together with other biomarkers contributes to improving its detection. Moreover, the polarized reactivity deserves further investigation.
Advanced NMR Methods for Formulation Analysis

Advanced Methods for Formulation Analysis is authored by Iain Swan and submitted for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences at the University of Manchester, on 21 September 2015.This thesis concentrates on diffusion-ordered spectroscopy (DOSY): a technique in liquid state nuclear magnetic resonance (NMR) spectroscopy that is able to distinguish different chemical species by their size in solution, and measure species? diffusion coefficients. DOSY is an invaluable tool to analyse and resolve the signals of mixtures of chemicals in solution. DOSY measures an ensemble of nuclei in a mixture, using pulsed field gradients (PFGs) to encode, and later decode, the positions of spins. This provides information on the root mean square distance that spins diffuse during a delay between a pair of PFGs, which allows the determination of diffusion coefficients. However, DOSY is susceptible to a number of complications.Where a sample convects, the distance molecules move during the delay is greater than for simple diffusion, and the estimate of the diffusion coefficient becomes greater than the true value. Rayleigh-B�nard convection has been known in NMR for a long time, and is known to result from heating the base of an NMR sample, giving rise to negative vertical temperature gradients. Here, cooling the base (and inadvertently the sides) of the sample is also shown to cause convection from transverse temperature gradients, known as Hadley convection and commonly observed in atmospheric circulation. The theory for convection from transverse temperature gradients is given and recommendations to reduce convection in NMR are made.DOSY analysis can also be challenging where signals from different species overlap. In such instances, it can help to reduce the overlap, which can be achieved by collapsing multiplets into singlet signals: pure shift NMR is a technique that uses band-selection in order to refocus scalar coupling during the free induction decay, leaving pure chemical shift information. However, PFGs can vary in strength across the sample, which can have an effect on band selective experiments, such as Zangger-Sterk pure shift experiments, in the measured peak amplitudes, and where DOSY is combined with the Zangger-Sterk pure shift sequence, the apparent diffusion coefficients are also altered, seemingly as a function of chemical shift. A correction for this is given, simply using a DOSY and a DOSY pure shift experiment, as an alternative to the current literature method (gradient mapping). An investigation into an emulsion, agrochemically important for the delivery of active ingredients (fertiliser,pesticides, etc.) to plants, was then undertaken, in the hopes of finding restricted diffusion, but instead discovering substantial chemical exchange on the diffusional timescale.Finally a program was written for the automated acquisition of DOSY data, without the need for a human controller to calibrate DOSY parameters for the optimum acquisition.
Exchange coupling in the sulfur-bridged quasi-linear-chain compound bis(dimethyldithiocarbamato)copper(II). Observations on exchange in sulfur-bridged copper(II) compounds

Abstract : Magnetic susceptibility data have been collected on a powdered sample of the linear chain compound bis(dimethyldithiocarbamato) copper(II). The data are fitted to a Heisenberg linear chain odel for exchange coupled S=1/2 ions including an interchain correction term. The best fit parameters are J(interchain) = -1.22 /cm, J(interchain) = 0.47 /cm with the EPR average g value of 2.03. Data for Cu(dmtc)2 infinity and three other sulfur-bridged copper(II) compounds exhibit a correlation between the exchange coupling constant and the geometry of the Cu2S2 bridging unit. (Author)
Design and research of a smart monitoring system for 2019-nCoV infection-contact isolated people based on blockchain and Internet of things technology

Objective: In order to cope with a sudden outbreak of new coronavirus infection, a large number of potential infected persons need to be isolated. A new smart monitoring system which integrates Internet of things and blockchain technology to monitor isolated people in real time was design and studied.Methods: A internet of things devices will collects the location and physical data of isolated people, the data will be sent to master devices which will integrate and format those data and transfer to a smart contract. A smart contract compares and analyses the data with the threshold which is predefined. When the data exceed the threshold, the smart contract will alert the master device, which will notify the isolated person and center for disease control and prevention, the event will be stored in the consortium blockchain. The blockchain does not store the isolated people's details, which are stored in electronic health records linked to the blockchain to guarantee the data safety.Results: This system realizes the effective real-time monitoring of isolators including their physical condition and geographical position on the premise of protecting their privacy and security.Conclusion: By the system, the center for disease control and prevention can respond quickly according to their alerts. It has the advantages of good integrity, tamper-proof, and transparency to isolators.
Complaints of Nurses' Low Back Pain Assessed from Individual Characteristics and Workloads

Complaints of low back pain often occur in health workers, especially among nurses who work in the Emergency Room since they have a high work intensity. The purpose of this study was to determine the relationship between individual characteristics and workload on complaints of low back pain among nurses in the Emergency Room at the RSUP H. Adam Malik Medan. The research design used was an analytic survey with a cross-sectional approach. The sample size of 30 respondents was obtained through purposive sampling. The results of statistical tests using the chi-square showed that there was no relationship of individual characteristics (body mass index 0,372; age 0,367; years of service 0,611) and the complaints of low back pain. On the contrary, the workload had a significant relationship on the complaints of low back pain (p-value of 0,001) among nurses at the RSUP H. Adam Malik Medan.
Rede Neural Convolucional 1D aplicada à previsão da vazão no Rio Madeira

—This work presents a multi-day ahead streamﬂow forecasting scheme for the Madeira River. The forecasting model is based on unidimensional convolutional neural networks. To design the model we present an analysis of the streamﬂow and turbidity time series at the studied river. This analysis indicated that they have a period of 362 days and are 38 days out of phase (lagged streamﬂow). Furthermore, we conclude that the proposed forecasting model is ∼ 5 times smaller when using the river’s turbidity alongside its streamﬂow