Miracle-dz/UniFAR-FTUs huggingface dataset:
Rheological characterization of lubricants using a tribometer

This work presents a methodology for predicting the Non-Newtonian behavior of monodisperse lubricants under typical pressure, temperature and shear rate conditions for elastohydrodynamic (EHD) contacts. For its correct application we require some tests using a conventional point contact tribometer and information on the low shear viscosity and density variations with pressure and temperature -these characteristics can be easily found in technical documents or by testing-. Finally, this procedure is validated testing a PAO-6 base oil.
Pharmaceutical composition containing citalopram

Sital solid unit preparation containing a sital rope Ram prepared by charging the rope person base or a pharmaceutically acceptable salt thereof and a pharmaceutically acceptable direct compression of a mixture of excipients, or the mixture in a hard gelatine capsule. Sital pharmaceutically acceptable salts of the rope Ram large crystals and a process for producing a large crystal.
The Repertoire of ICE in Prokaryotes Underscores the Unity, Diversity, and Ubiquity of Conjugation

Horizontal gene transfer shapes the genomes of prokaryotes by allowing rapid acquisition of novel adaptive functions. Conjugation allows the broadest range and the highest gene transfer input per transfer event. While conjugative plasmids have been studied for decades, the number and diversity of integrative conjugative elements (ICE) in prokaryotes remained unknown. We defined a large set of protein profiles of the conjugation machinery to scan over 1,000 genomes of prokaryotes. We found 682 putative conjugative systems among all major phylogenetic clades and showed that ICEs are the most abundant conjugative elements in prokaryotes. Nearly half of the genomes contain a type IV secretion system (T4SS), with larger genomes encoding more conjugative systems. Surprisingly, almost half of the chromosomal T4SS lack co-localized relaxases and, consequently, might be devoted to protein transport instead of conjugation. This class of elements is preponderant among small genomes, is less commonly associated with integrases, and is rarer in plasmids. ICEs and conjugative plasmids in proteobacteria have different preferences for each type of T4SS, but all types exist in both chromosomes and plasmids. Mobilizable elements outnumber self-conjugative elements in both ICEs and plasmids, which suggests an extensive use of T4SS in trans. Our evolutionary analysis indicates that switch of plasmids to and from ICEs were frequent and that extant elements began to differentiate only relatively recently. According to the present results, ICEs are the most abundant conjugative elements in practically all prokaryotic clades and might be far more frequently domesticated into non-conjugative protein transport systems than previously thought. While conjugative plasmids and ICEs have different means of genomic stabilization, their mechanisms of mobility by conjugation show strikingly conserved patterns, arguing for a unitary view of conjugation in shaping the genomes of prokaryotes by horizontal gene transfer.
Memory-based object detection in surveillance scenes

Object detection is a significant step of intelligent video surveillance. The existing methods achieve the goals by technically designing or learning special features and detection models. Conversely, we propose a method to simulate the mechanism of memory and prediction in our brain. Firstly, a fix-sized window is slid on a static image to generate sequences. Then, a convolutional neural network extracts the sequence features. Finally, a long short-term memory receives these sequence features in proper order to memorize and recognize the sequential patterns. Our contributions are 1) a memory-based classification model in which both of feature learning and sequence learning are integrated subtly, and 2) a memory-based prediction model which is specially designed to predict the potential object locations in the surveillance scene. Compared with the state-of-the-art methods, our method obtains the best performance on three surveillance datasets. Our method may give some new insights on object detection researches.
First-principles calculations and Bader analysis of oxygen-deficient induced magnetism in cubic BaTiO3−x and SrTiO3−x

ABSTRACT The possibility of oxygen deficient induced magnetism in cubic BaTiO3 (BTO) and SrTiO3 (STO) perovskites is investigated by first-principles calculations, using the projector-augmented-wave method, within the generalised gradient approximation (GGA) and generalised gradient approximation with on-site effect (GGA + U), for the exchange correlation potential. For non-stoichiometric BaTiO3−x and SrTiO3−x, supercells were created in order to have two vacancy concentrations, i.e. x = 0.125, 0.083. Spin charge distributions and magnetic moments associated with each ion, including local density of states projected in Bader atoms, were analysed by performing a full Bader charge analysis. Results show that oxygen vacancies could induce magnetism in BaTiO3−x with x = 0.125 and x = 0.083 under GGA and GGA + U approximations. For SrTiO3−x with x = 0.125, ferromagnetism is induced with GGA, whereas with GGA + U the non-magnetic state is retained. On the other hand, with x = 0.083, ferromagnetism is induced under GGA and GGA + U.
Gender, Ethnicity, and Religion and Investment Decisions: Malaysian Evidence

This paper examines how the interaction between gender, religion, and ethnic differences influence the key determinants of individual investment behavior, which are different types of risk taking, luck, overconfidence, happiness, maximization, regret, and trust. We find that in gender-ethnic groups there are significant differences among Malaysian Malay and Malaysian Chinese but not among Malaysian Indian. With regard to gender-religion groups there are significant differences among Malaysian Muslims, Christians, and Buddhists but not among Malaysian Hindus. These gender-ethnic and gender-religion groups differ in range of variables such as luck, maximization, overconfidence, trust and risk. In addition, foreign students living in Malaysia were included in the study and we found that there is significant difference between male and females in term of luck and lifetime income risk.
COHERENT MODULATION COMB FILTERING FOR ENHANCING SPEECH IN WIND NOISE Brian King and Les Atlas University of Washington, Department of Electrical Engineering, Seattle, Washington, USA

Enhancing single-channel speech corrupted by wind noise has proven to be a difficult topic due to the complex characteristics of wind noise. Methods that assume a stationary or quasistationary noise source are ineffective against wind noise due to its nonstationarity and unpredictability. In contrast, the new method proposed works by finding the elements of the signal that are speech-like and suppressing the noise. This method takes advantage of the harmonic nature of speech by using a coherent modulation comb filter. Traditionally, very high-order IIR filters have potentially crippling stability constraints, but the proposed method bypasses these constraints by using coherent demodulation to filter harmonic subsets with lower-order filters. Potential applications for this research include mobile phones, audio production software, and as a front-end for automatic speech recognition (ASR) systems.
Restructuring binomial trees for delay-aware and energy-efficient data aggregation in wireless sensor networks

Energy conservation is a fundamental problem in wireless sensor networks that has attracted a great attention in recent years, as each sensor node is battery powered. In this paper, we consider an excessive energy consumption scenario like data transmission between sensor node and far off destination, and present distributed control data aggregation and energy efficiency scheme. Our scheme maintains the strengths of existing algorithms like Restructuring Binomial Trees (RBT) scheme and improves the energy conservation performance in wireless sensor networks. When a node is inserted or deleted in the network, tree rotations are used in a number of tree data structures such as AVL trees and red-black trees. These trees keep the tree balanced by using the rotation method that does not affect the surrounding. The proposed scheme utilizes the rotation mechanism for rebuilding a binomial tree, in which the sensor nodes swap the role partly and then reduce tree cost while keeping the tree structure. Swapping is performed between the parent and child nodes. The proposed scheme maintains the minimum data aggregation delay and increases the energy efficiency of the sensor nodes. Simulation results show that, the cost of building trees by DADC and DEDA is decreased by 45.84% and 14.28% on average respectively, by using the proposed scheme.
Effect of Laser Welding on the Mechanical Properties AISI 1018 Steel

Laser welding processes offer significant advantages such as high welding speed, narrow heat affected zone and quality of the welding joint. In this study, the process parameters of laser power and welding speed were modified for AISI 1018 steel plates of 8 mm thickness and compared using finite element method. The results of cross-section microstructure, heat affected zone and fusion zone were characterized. The grain refinement was affected as the parameters were modified. Tensile and microhardness tests were performed to determine the mechanical properties of the welding joints. Microhardness increased in fusion zone and decreased in heat affected zone. Tensile test showed ductile fracture in heat affected zone of the welding joints. The simulated profiles were compared with the experimental observations showing a reasonable agreement.
A General Framework for Modeling Sub- and Ultraharmonics of Ultrasound Contrast Agent Signals with MISO Volterra Series

Sub- and ultraharmonics generation by ultrasound contrast agents makes possible sub- and ultraharmonics imaging to enhance the contrast of ultrasound images and overcome the limitations of harmonic imaging. In order to separate different frequency components of ultrasound contrast agents signals, nonlinear models like single-input single-output (SISO) Volterra model are used. One important limitation of this model is its incapacity to model sub- and ultraharmonic components. Many attempts are made to model sub- and ultraharmonics using Volterra model. It led to the design of mutiple-input singe-output (MISO) Volterra model instead of SISO Volterra model. The key idea of MISO modeling was to decompose the input signal of the nonlinear system into periodic subsignals at the subharmonic frequency. In this paper, sub- and ultraharmonics modeling with MISO Volterra model is presented in a general framework that details and explains the required conditions to optimally model sub- and ultraharmonics. A new decomposition of the input signal in periodic orthogonal basis functions is presented. Results of application of different MISO Volterra methods to model simulated ultrasound contrast agents signals show its efficiency in sub- and ultraharmonics imaging.
Crystal structure of the diadenosine tetraphosphate hydrolase from Shigella flexneri 2a

Introduction. Diadenosine tetraphosphate (Ap4A) was discovered by Zamecnik in the middle 1960s. Ap4A is a product of the back reaction of the amino acid activation catalyzed by some aminoacyl-tRNA synthetases. It is widely agreed that there are aspects about the function of Ap4A. On the one hand, it may be an unavoidable byproduct of protein synthesis that has to be cleared from the cell before it attains a potentially toxic concentration. On the other hand, Ap4A can function as a signal molecule and be deeply involved in regulation of DNA replication, cell division, and stress response. There are three kinds of Ap4A hydrolases, that is, asymmetrically cleaving Ap4A hydrolase (EC 3.6.1.17), symmetrically cleaving Ap4A hydrolase (EC 3.6.1.41), and dinucleoside polyphosphate phosphorylase (EC 2.7.7.53). Asymmetrical Ap4A hydrolases mainly exist in higher eukaryotes and play a key role in regulating the intracellular Ap4A level. Symmetrical Ap4A hydrolases have been isolated from many organisms, typically from bacteria. It catalyses the hydrolysis of Ap4A into two ADP and also hydrolyzes Ap5A, Gp4G, and other extending compounds. Furthermore, it is important in responding to heat shock and oxidative stress via regulating the concentration of Ap4A in bacteria. 4
D-branes in a big bang/big crunch universe: Misner space

We study D-branes in a two-dimensional lorentzian orbifold 1,1/Γ with a discrete boost Γ. This space is known as Misner or Milne space, and includes big crunch/big bang singularity. In this space, there are D0-branes in spiral orbits and D1-branes with or without flux on them. In particular, we observe imaginary parts of partition functions, and interpret them as the rates of open string pair creation for D0-branes and emission of winding closed strings for D1-branes. These phenomena occur due to the time-dependence of the background. Open string 2→2 scattering amplitude on a D1-brane is also computed and found to be less singular than closed string case.
Constant-round secure two-party computation from a linear number of oblivious transfer

We construct a protocol for constant round Two-Party Secure Function Evaluation in the standard model which improves previous protocols in several ways. We are able to reduce the number of calls to Oblivious Transfer by a factor proportional to the security parameter. In addition to being more efficient than previous instantiations, our protocol only requires black box calls to OT and Commitment. This is achieved by the use of a faulty variant of the Cutand-Choose OT. The concepts of Garbling Schemes, faulty Cut-and-Choose Oblivious Transfer and Privacy Amplification are combined using the Cut-and-Choose paradigm to obtain the final protocol.
Effect of crude extract of Bombyx mori coccoons in hyperlipidemia and atherosclerosis

The silkworm is the larva or caterpillar of the domesticated silkmoth, Bombyx mori and being a primary producer of silk is an economically important insect. These days the silk is emerging as a resource for solving a broad range of biological problems. The silk (Abresham) is popularly known as Abresham muqriz (muqriz means cut) in Unani medicine. Its cocoons are extensively used as an ingredient of various Unani formulations like Khameer-E- Abresham Sada, Khameere Abresham Hakeem Arshad Wala, Khameere Abresham Ood Mastagi Wala etc. and are used to treat many cardiac and nervous disorders. The hypolipidemic activity of this drug, along with Nepata Hindostana (Badranjboya) and Terminalia Arjuna (Arjan) has been documented. But action of extract of Bombyx mori cocoons as a single drug is not documented. That's why; it was decided to study its effect on hyperlipidemia and atherosclerosis. The Male New Zealand White rabbits all of 1.5kgs were selected for the study. After stabilization period (2 weeks) the rabbits were divided into 3 groups (Group I - Control, Group II Lesion Control and Group III treated with extract of Bombyx mori silk cocoon). Hyperlipidemia and atherosclerosis were induced with 1% cholesterol diet. After induction of hyperlipidemia and atherosclerosis for twelve weeks, Group III rabbits were treated with Bombyx mori for 6 weeks (45 days). A significant decrease in hyperlipidemia was seen within 4 weeks of treatment. Histopathologically, the atherosclerotic plaques showed reduction in size. The third group showed a significant increase in the body weight and also an increase in the HDL cholesterol levels. The study concludes that extract of Bombyx mori cocoons has a significant effect on hypercholesterolemia and atherosclerosis probably because of its antioxidant and hypolipidemic effect.
Orieb, A Crs For Academic Orientation Using Qualitative Assessments

Collaborative Recommender Systems (CRS) are very useful tools that help people to select items in a huge search space, based on the idea that people with similar taste of preferences in an topic make similar decisions concerning to that topic. There are many commercial applications that show the utility of these systems. In this contribution we shall introduce OrieB, a CRS working in the Academic Orientation domain in order to support advisors helping students of secondary school to make decisions about their academic future. OrieB will use students’ marks as input data in order to suggest their academic possibilities by providing qualitative recommendations based on the fuzzy linguistic approach.
A Perspective on the Salt‐Blood Pressure Relation

Current recommendations for a population-wide decrease in dietary salt consumption come from a conclusion that a substantial portion of the population with essential hypertension is salt-sensitive. It is difficult to determine the appropriateness of these recommendations because of critical gaps in knowledge of the salt-blood pressure relation. There is no agreement on a definition of salt-sensitive blood pressure changes. There is no consensus about mechanisms of changes; several have been suggested but none seems universal. In fact, differing results suggest marked heterogeneity in the mechanisms of salt-sensitive hypertension, and some evidence points to the possibility that arterial pressure of hypertensive subjects is controlled differently than that of normotensive subjects during manipulation of salt intake. Because salt-sensitive blood pressure changes are not always related to the magnitude of the positive sodium balance, it seems possible that for some people the current recommendations for modest dietary sodium restriction may be inadequate to influence blood pressure control for the prevention of hypertension.
Family and Community Predictors of Comorbid Language, Socioemotional and Behavior Problems at School Entry

Objectives To identify the prevalence and family and community-level predictors of comorbid speech-language difficulties and socioemotional and behavioral (SEB) difficulties across a population of children at school entry. Methods The School Entry Health Questionnaire is a parent survey of children’s health and wellbeing, completed by all children starting school in Victoria, Australia (N = 53256). It includes parental report of speech-language difficulties, the Strengths and Difficulties Questionnaire (behavior), and numerous family and community variables. Following univariate analysis, family and community risk characteristics were entered into a multinomial logistic regression model to identify the associated relative risk of comorbid speech/language and SEB needs. The influence of experiencing multiple risk factors was also examined. Results 20.4% (n = 10,868) began school with either speech-language or SEB difficulties, with 3.1% (n = 1670) experiencing comorbid needs. Five factors predicted comorbidity: the child having witnessed violence; a history of parent mental illness; living in more deprived communities; and the educational attainment of each parent (independently). The relative risk of comorbidity was 6.1 (95% Confidence Interval: 3.9, 9.7) when a child experienced four or more risk factors, compared to those with no risk factors. Conclusions The risk of comorbidity in early childhood is associated with a range of family and community factors, and elevated by the presence of multiple factors. Children growing up in families experiencing multiple, complex needs are therefore at heightened risk of the early development of difficulties likely to impact upon schooling. Early identification of these children offers opportunities for appropriate and timely health and education intervention.
Optimization of PV-Hydrogen Electrolyzes System

In this work, an electrolyze system is considered to produce Hydrogen (H2) using photovoltaic (PV) panels. The system was experimentally installed and tested under the weather conditions of Cairo. Many PV modules with different specifications of current and voltage were tested for individual loads. One of PV modules that have the maximum current with minimum voltage can produce the highest amount of Hydrogen. In addition, the parameters of (KOH) concentration in water and the apart-distance between the electrodes were studied. The apart-distance of 5 cm between the electrodes was found as optimized distance that produces more H2 quantity. Moreover, a H2-cell of 20×15×13 cm 3 has higher H2 production than the size of 6×6×24 cm 3 , 24×6×24 cm 3 and 24×24×24 cm 3 cells. It is obtained that the optimal system that considers the above efficient conditions must have a PV module with high current and small voltage.
Process optimization and evaluation of novel baicalin solid nanocrystals

The objective of this study was to prepare baicalin solid nanocrystals (BCN-SNS) to enhance oral bioavailability of baicalin. A Box–Behnken design approach was used for process optimization. The physicochemical properties and pharmacokinetics of the optimal BCN-SNS were investigated. Multiple linear regression analysis for process optimization revealed that the fine BCN-SNS was obtained wherein the optimal values of homogenization pressure (bar), homogenization cycles (cycles), amount of TPGS to drug (w/w), and amount of MCCS to drug (w/w) were 850 bar, 25 cycles, 10%, and 10%, respectively. Transmission electron microscopy and scanning electron microscopy results indicated that no significant aggregation or crystal growth could be observed in the redispersed freeze-dried BCN-SNS. Differential scanning calorimetry and X-ray diffraction results showed that BCN remained in a crystalline state. Dissolution velocity of the freeze-dried BCN-SNS powder was distinctly superior compared to those of the crude powder and physical mixture. The bioavailability of BCN in rats was increased remarkably after oral administration of BCN-SNS (P < 0.05), compared with those of BCN or the physical mixture. The SNS might be a good choice for oral administration of poorly soluble BCN, due to an improvement of the bioavailability and dissolution velocity of BCN-SNS.
Smoking Ambulatory Care Education Unhealthy Days Inactivity Uninsured Graduation Rate Mental Health Drinking Primary Care Unemployment Low Birthweight Driving Deaths Dentists

A number of recent studies have demonstrated the utility of social media data for inferring societal attributes such as public opinion and health. A commonly declared limitation of this methodology is the selection bias inherent in this approach – social media users are a non-representative sample of the population. This is exacerbated by filtering steps that further limit the sample set in biased ways. Building on recent work in computational linguistics that infers demographic attributes of people based on their communications, we investigate methods to quantify and control for selection bias in social media studies. We present results estimating several county-level health statistics (e.g., obesity, diabetes, access to healthy foods) based on the Twitter activity of the top 100 counties in the U.S., and we compare strategies for reducing selection bias.