Miracle-dz/UniFAR-FTUs huggingface dataset:
EnzymeML—a data exchange format for biocatalysis and enzymology

EnzymeML is an XML‐based data exchange format that supports the comprehensive documentation of enzymatic data by describing reaction conditions, time courses of substrate and product concentrations, the kinetic model, and the estimated kinetic constants. EnzymeML is based on the Systems Biology Markup Language, which was extended by implementing the STRENDA Guidelines. An EnzymeML document serves as a container to transfer data between experimental platforms, modeling tools, and databases. EnzymeML supports the scientific community by introducing a standardized data exchange format to make enzymatic data findable, accessible, interoperable, and reusable according to the FAIR data principles. An application programming interface in Python supports the integration of software tools for data acquisition, data analysis, and publication. The feasibility of a seamless data flow using EnzymeML is demonstrated by creating an EnzymeML document from a structured spreadsheet or from a STRENDA DB database entry, by kinetic modeling using the modeling platform COPASI, and by uploading to the enzymatic reaction kinetics database SABIO‐RK.
Triplex systems: Accelerated and outdoor tests

The protective paint/galvanized steel system is called duplex and it is claimed that protects steel from corrosion synergistically. The triplex system adds a pretreatment between the paint and the substrate in order to enhance the corrosion protection or paint adhesion. In this work, the behavior against the corrosion of electrogalvanized steel pretreated with a commercial silane, mercaptopropyltrimethoxysilane (MTMO) or a chromium(III)‐based solution (Cr) was studied. Pretreated samples were painted with an alkyd system and exposed in humidity, prohesion chambers or xenon lamp artificial weathering. Besides, some of them were exposed in outdoor experimental station (Posadas, Misiones Province, Argentina, 27° 22′S and 55° 53′W) for 5 years. The evolution of the different triplex systems was evaluated by visual observation, loss of gloss, color variation, loss of adhesion, and electrochemical impedance spectroscopy. A painted sample without pretreatment was used as control. Subjected to accelerated tests, the highest protective efficiency was obtained in samples pretreated with MTMO or Cr. However, in the outdoor tests the best behavior corresponds to the control samples because the pretreated ones failed due to adhesion problems.
Methods and mechanisms of gas sensor selectivity

Abstract The selectivity of a sensor is the ability to discriminate the target from the interference molecules and display a target-specific sensor response. It is a critical trait for gas sensors that are used in real-time air pollution control, hazardous materials detection, food quality inspection and personal health monitoring. Attaining high target selectivity ensures that sensors will exhibit accurate information about the existence and concentration of a target gas, which is essential for reliable sensor response. To obtain target selectivity, it is critical to determine the optimum modification technique and receptor materials as well as to understand how each method works and how it could be designed for a specific target. For this purpose, in this review we present the working principles of the three leading chemical modification methods including catalyst decoration, composite formation, and surface functionalization, as well as the selection criteria of various recognition materials. Throughout the report, we offer a rich apprehension of these techniques by providing mechanistic insights, application areas, advantages, disadvantages, and plausible applications for the invention of the target-specific gas sensors.
Mass Spectrometric Analysis of Bisphenol A Desorption from Titania Nanoparticles: Ammonium Acetate, Fluoride, Formate, and Hydroxide as Chemical Desorption Agents

Bisphenol A (BPA) is a widely used chemical in several consumer products and a well-studied environmental toxicant, and therefore, its accurate measurement is highly demanded. However, the co-presence of nanoparticles as an emerging class of contaminants could result in inaccurate determination of BPA due to binding of BPA onto nanoparticle surface. In this study, mass spectrometry (MS) was used to investigate desorption of BPA bound on the surface of titania (TiO2) nanoparticles in water. Ammonium acetate, fluoride, formate, and hydroxide were evaluated as chemical agents for their desorption capabilities. The percentages of recovery, adsorption, and desorption were determined by this new method without requiring any prior separation of nanoparticles from BPA. MS analysis demonstrated the desorption of BPA by 10–20 mM of ammonium hydroxide for a mixture of 5 µg/mL BPA and 10 µg/mL TiO2 nanoparticles, with a desorption efficiency of 72 ± 1%. Due to adsorption of BPA onto the nanoparticle surface that was inefficient for electrospray ionization, the resulting abundance of target ions could be reduced in the detection of BPA by mass spectrometry. As such, these findings collectively promise an accurate determination of the total BPA concentration in water whether it exists in the free or bound form. Efficient desorption of contaminants from the surface of nanoparticles would improve the accuracy of the contaminant analysis by mass spectrometry.
Negative substrate bias induced modifications of the physical properties of DC sputter deposited nano-crystalline Mo thin films

Negative bias on the substrate during DC sputter deposition of nano-crystalline molybdenum thin films has been utilized to tune their properties for solar cells and the cryogenic radiation detector applications. Films have been deposited on Si substrates under different out of plane negative biases aiming to improve their physical properties such as the sheet resistance, superconducting transition temperature, width of transition and surface roughness. Significant modifications in the electrical and surface morphological properties of nano-crystalline Mo thin films have been reported. The superconducting transition temperature and crystallite size of the films does not show much improvement but the surface roughness and electrical resistivity of the film have been improved by the application of substrate bias.
Constraints on the models of the origin of high-energy astrophysical neutrinos

The existence of astrophysical neutrinos with energies of tens of TeV and higher has been reliably established by the IceCube experiment; the first confirmations of this discovery are being obtained with the ANTARES and Baikal-GVD facilities. The observational results do not fully agree with what was expected before the start of these experiments. The origin of these neutrinos has not been conclusively established, and simple theoretical models, popular for decades, cannot explain all observational data. This review summarizes the experimental results with emphasis on those important for constraining theoretical models, discusses various scenarios for the origin of high-energy neutrinos and briefly lists particualr classes of their potential astrophysical sources. It is demonstrated that the observational data may be explained if the flux of astrophysical neutrinos includes the contribution of extragalactic sources, dominating at the highest energies, and the Galactic component, significant only at neutrino energies . 100 TeV. Other possible scenarios are also discussed.
Datafication

: Datafication is not just the making of information, which, in one sense, human beings have been doing since the creation of symbols and writing. Rather, datafication is a contemporary phenomenon which refers to the quantification of human life through digital information, very often for economic value. This process has major social consequences. Disciplines such as political economy, critical data studies, software studies, legal theory, and—more recently— decolonial theory, have considered different aspects of those consequences to be important. Fundamental to all such approaches is the analysis of the intersection of power and knowledge.
Irradiation Effects on Titanium Dioxide Electrodes for Lithium Ion Batteries

v LIST OF TABLES . x LIST OF FIGURES . xi LIST OF ABBREVIATIONS . xv CHAPTER ONE: Introduction . 1 1.1 Motivation . 2 1.2 Irradiation Effect in TiO2 . 4 1.3 Research Methods . 6 1.4 References . 7 CHAPTER TWO: Defect Generation in TiO2 Nanotube Anodes via Heat Treatment in Various Atmospheres for Lithium-Ion Batteries . 11 Defect Generation in TiO2 Nanotube Anodes via Heat Treatment in Various Atmospheres for Lithium-Ion Batteries . 12 2.1 Abstract . 13 2.2 Introduction . 14 2.3 Methods.17 2.3. 1 Anodization of Ti Foil . 17 2.3. 2 Annealing of TiO2 Nanotubes . 17 2.3. 3 Electrochemical Measurements . 17
Normative ratings for 111 Swedish nouns and corresponding picture stimuli

Abstract Normative ratings are a means to control for the effects of confounding variables in psycholinguistic experiments. This paper introduces a new dataset of normative ratings for Swedish encompassing 111 concrete nouns and the corresponding picture stimuli in the MultiPic database (Duñabeitia et al. 2017). The norms for name agreement, category typicality, age of acquisition and subjective frequency were collected using online surveys among native speakers of the Finland-Swedish variety of Swedish. The paper discusses the inter-correlations between these variables and compares them against available ratings for other languages. In doing so, the paper argues that ratings for age of acquisition and subjective frequency collected for other languages may be applied to psycholinguistic studies on Finland-Swedish, at least with respect to concrete and highly imageable nouns. In contrast, norms for name agreement should be collected from speakers of the same language variety as represented by the subjects in the actual experiments.
Vaccine compositions using antigens encapsulated within alginate microspheres for oral administration and preparation process thereof

PURPOSE: An arginate-microsphere used for oral vaccine is provided, which delivers antigens effectively through a pathway by Peyer's patch and a by-pathway of lymphatic gland with its small size; shows higher immunity property; improves level of serum and mucous membrane when administrated with cholera toxin or cholera toxin B unit; so can be used as an effective oral vaccine. CONSTITUTION: A process for the preparation of arginate-microsphere used for oral vaccine comprises: adding a solution containing antigen protein(or antigen protein and immuno-adjuvant) to arginate solution; adding n-octanol solution containing an emulsifier to the antigen protein(or antigen protein and immuno-adjuvant)-arginate mixed solution, and homogenizing; adding calcium chloride-contained n-octanol using a sprayer while stirring the emulsion slowly; adding calcium chloride solution to saturate the emulsion, and gelating microspheres; dehydrating the microspheres by adding dehydration solvent; filtering the microspheres, washing with alcohol, and drying in vacuum state.
Prediction of Women Obesity using Naive Baye's Algorithm

Obesity is a familiar problem nowadays and in women within age 19-35 can cause infertility, miscarriage, heart diseases, diabetes, hypertension, arthritis etc. Every year the percentage of obesity is increasing. Predicting obesity at an earlier stage will be helpful for people to be more cautious about their health. The data sets of women within the age 19-35 are collected from various sources. The risk factors causing obesity is considered and Naive Baye's algorithm is applied to predict the obesity. The main aim of this work is to show the society, the adverse effect of being obese and also to analyze the risk factors causing obesity. Accuracy of the Naive Baye's model is calculated and results show that the algorithm can be applied for better prediction which can be used by doctors, patients, biomedical researchers.
Green Technology Contribution in Development of Coolant Wastewater Filtration

The aim of this study is the contribution of green technology in the sustainable development of oily wastewater from machining process. The cross-flow membranes has been performed for treating wastewater emulsion of oil derived from the automotive industry on the metal cutting section. The objective of this study is to treat liquid waste from machining process using membrane technology. The mechanism of ultrafiltration process is flow of small molecules pass through pore of membrane. The performance of the cellulose acetate hydrophilic membrane is determined by the permeate and rejection flux. The operation of this two-stage ultrafiltration membrane involves a 12% composite cellulose acetate membrane (CA-12) in phase I and 15% (15%) cellulose acetate membrane (CA-15) in phase II with a 90 minute operating time with pressure of 3.5 bar. Flux of phase I, without pretreatment and with pretreatment are 17,03 L / m 2 . h and 59,05 L / m 2 . h respectively. In phase II, the flux of treatment without and with preteeatment are 22.08 L / m 2 . h and 24.86 L / m 2 . h , respectively. COD and surfactant rejection for both membrane without pretreatment of 96.57% and 96.35%, whereas for waste feed with COD rejection of 98.56% and surfactant rejection of 97.44 %.
Interferometric SAR deformation timeseries: a quality index

Estimating unknown absolute phase from a wrapped observation is a challenging and ill-posed problem that possibly leads to misinterpretation of interferometric SAR (InSAR) deformation results. In this study, we introduce a quality index to cluster post-phase unwrapping multi-master InSAR timeseries outputs based on the estimated phase residuals and redundancy of network of interferograms. The index is supposed to indicate the reliability of a timeseries, including the identification of persistent scatterers (PSs) possibly affected by phase unwrapping jumps. The algorithm was tested on two Sentinel-1 interferometric datasets with 622,991 and 95,398 PSs, generated from the PSI processing chain PSIG of the geomatics division of CTTC. Promising result have been achieved-especially in identifying erroneous PSs with phase unwrapping jumps. Along with existing temporal phase consistency checking algorithms, the approach could provide rich information toward a better interpretation of the deformation timeseries results.
Water condensation-based nanoparticle charging system: Physical and chemical characterization

Abstract A water condensation-based ion charging system has been developed to enhance both the charging efficiency and the concentration of sub-20 nm particles. This NanoCharger consists of a bipolar ion source followed by a parallel plate water-based condensation system, an embedded ion scavenger, and an aerodynamic focusing stage. Sufficient numbers of ions are transported through the system to attach to the formed droplets. An ion scavenger removes the ions immediately after the droplet formation to minimize multiple charging. A subsequent cold-walled condensation stage removes most of the water vapor, lowering the dew point to below 16 °C, while a set of focusing nozzles concentrates the droplets into ∼10% of the flow. The flow is then slightly heated to evaporate the droplets. The physical enhancement of electrical charging was evaluated in the laboratory using mobility-selected particles, and found to provide ∼40-fold enhancement over bipolar charging for 6–15 nm particles. Chemical artifacts were evaluated through thermal desorption chemical ionization mass spectrometry. Data comparing ion spectra for flow that passed through the NanoCharger to that obtained without it showed nearly equivalent ion spectra, indicating that no significant artifacts were introduced from the condensation–evaporation process. Copyright © 2018 American Association for Aerosol Research
Predicting Patients' Satisfaction With Doctors in Online Medical Communities: An Approach Based on XGBoost Algorithm

Online medical communities have revolutionized the way patients obtain medical-related information and services. Investigating what factors might influence patients’ satisfaction with doctors and predicting their satisfaction can help patients narrow down their choices and increase their loyalty towards online medical communities. Considering the imbalanced feature of dataset collected from Good Doctor, we integrated XGBoost and SMOTE algorithm to examine what factors and these factors can be used to predict patient satisfaction. SMOTE algorithm addresses the imbalanced issue by oversampling imbalanced classification datasets. And XGBoost algorithm is an ensemble of decision trees algorithm where new trees fix errors of existing trees. The experimental results demonstrate that SMOTE and XGBoost algorithm can achieve better performance. We further analyzed the role of features played in satisfaction prediction from two levels: individual feature level and feature combination level.
Determine the Effect of Kinessio Taping Use after McKenzie Exercise to Decrease the Scale of Back Pain in Low Back Pain Non Specific Cases

Lower back pain is disease that affects the quality of life and productivity of a person. The purpose of this study was to determine the effect of Kinessio Taping use after McKenzie Exercise to decrease the scale of back pain in low back pain nonspecific cases. This research method was a quasi-experimental design with pre-test and post-test respondents were 16 people consisting of two treatment groups with each group totaling 6 people. Statistical test results obtained p-value <0.05 (0.001 <0.05) means that there was an is Influence of Kinessio Taping Usage after Mc.Kenzi Against Pain Scale Reduction in Low Back Pain Case Non Specific. The results of this study should be used as one method that can be used for handling cases of non-specific low back pain so it can help the pain experienced by the sufferer.
Germicidal ultraviolet LEDs: a review of applications and semiconductor technologies

Ultraviolet light emitting diodes (UV LEDs) are one of the most promising technologies for preventing future pandemics, improving health outcomes, and disinfecting water sources. Currently available UV LEDs emitting in the conventional germicidal wavelength range (254–285 nm) have efficiencies below 5% and cost about 100 times more (per watt) than mercury vapor lamps. On the other hand, germicidal UV LEDs provide many advantages over vapor lamps including instant-on and dimmable functionality, wavelength tunability, miniaturization, and durability, and are already in widespread use for certain applications. It is expected that III-nitride based UV LEDs will soon have similar cost and efficiency to white LEDs and will become the dominant germicidal light source within this decade. Unlike vapor discharge lamps, LEDs have theoretical efficiency limits approaching 100%; the challenges to improving UV LED efficiency are not fundamental, but technological. Improvements in material quality, chemical purity, electrical conductivity, optical transparency, and fabrication technologies are needed. In this review, we outline the major challenges in each of these areas and summarize the recent advances that have enabled rapid improvements in UV LED efficiency within the past 5 years. We discuss the physical principles underlying the mechanisms of improved efficiency, and comment on likely future trends in UV LED design and commercialization.
Role of topical beta blockers in regression of infantile capillary hemangioma

Objective: To observe efficacy of Timolol maleate 0.5% by topical and surface application in infantile superficial capillary hemangioma of eyelid. Methods: This multi-centered clinical case series was carried out at Ophthalmology Department of Bilawal Medical College and Institute of Ophthalmology, LUMHS, Jamshoro from November 2019 to May 2020. We included 14 subjects. All the patients were subjected to detailed clinical examination. Before starting the topical beta blockers, the enrolled subjects had obtained the expert opinion by pediatrician to rule out any preexisting developmental cardio vascular disease. Topical beta blockers 0.5% drops were thus started with, against the ongoing finding of superficial capillary hemangioma of eyelid. Results: There was significant regression in size of infantile hemangioma after treating with topical timolol maleate 0.5%. We included 14 subjects in this study. Mean±SD age of patients was 4.94. Complete regression was seen in 08 subjects at the end of 12 weeks (64%) while 03 were completely cured at 08 weeks (21%) and 01 patient lost follow up with us. No significant ocular and systemic side effects were noted. Conclusion: Topical timolol maleate 0.5% can be the first-line treatment modality for superficial capillary hemangiomas due to its better safety and efficacy.
Microwave-assisted synthesis of Cu-doped hierarchical porous carbon aerogels derived from lignin for high-performance supercapacitors

Hierarchical porous carbon aerogels with a high specific surface area and excellent electrochemical performance were synthesized by pyrolysis and CO2 activation of Cu-doped lignin-based aerogels. The Cu-doped lignin-based aerogels were prepared by a microwave assisted sol-gel process of alkali lignin, resorcinol, and formaldehyde under the catalysis of CuCl2 · 6H2O. The microwave assisted sol-gel process reduces the gelation time from weeks to 10 min. The Cu-doped lignin-based carbon aerogels exhibit an interconnected porous network structure, a high specific surface area of 431 m2 g−1, a large total pore volume of 0.24 cm3 g−1, and a high specific capacitance of 222.96 F g−1, which increase to 899 m2 g−1, 0.63 cm3 g−1 and 257.65 F g−1 after CO2 activation process, respectively. The microporosity of Cu-doped lignin-based carbon aerogels reached 66.7%, which decreased to 47.6% after CO2 activation process. The activation process contributes to the fusion of adjacent micropores into larger ones. In addition, the CO2 activated Cu-doped lignin-based carbon aerogels exhibit outstanding cycling stability. The specific capacitance retains 95% after 2000 cycles at the current density of 20 A g−1. These findings open up the rapid fabrication of low-cost and high-performance carbon aerogels and show potential application in energy storage.
Solubility and size of polymer nanoparticles

The solubility of polymer nanoparticles is a complex phenomenon dependent on solvent–solute and solute–solute interactions. Contrary to phase separation in standard polymerization reactions, which is a well established research area, the relationship between the solubility of polymer nanoparticles and the resulting diameter of the nanoparticles has been largely overlooked. Herein we demonstrate that the absolute size of polymer nanoparticles can be predicted (and controlled) by varying the relevant parameters of the polymerization conditions that influence the solubility and Flory parameter, χs, p. The position of the spinodal, associated with a given χs, p equivalent and determined with a simple thermodynamic model, allows an absolute value, Δχspinodal, to be applied in predicting polymer dimensions. The hydrodynamic diameter of particles at the primarily observed fraction was found to be dependent on D (nm) = −74Δχspinodal + 367 nm, where Δχspinodal must be positive for successful separation. Variation with total polymer fraction over a limited range can also be observed to follow a trend of approximately D (nm) = 173 ln[(xN)210−36/Δχspinodal] − 193 nm, thus giving a more general description of polymerization. We also assert the importance of separating spinodal-character phase separation from binodal-character phase separation in polymer nanoparticle synthesis. To the best of our knowledge this is the first successful Flory–Huggins based thermodynamic model of polymer nanoparticles, and should provide a useful guide to predictive design of future nanomaterials.