Miracle-dz/UniFAR-FTUs huggingface dataset:
Tio2 supported on brick waste as low cost photocatalyst for dye photodegradation

Photocatalysis is one of the most important technology for treating water pollutants effectively. The method is better compared to adsorption method in that photocatalysis gives advance destroying organic contaminants and has better reusability. In other side, textile industry including Batik’s industry is a potential source of wastewater contaminated with dyes which can cause serious environmental problems. For photocatalysis purposes, TiO2 is the popular material. In order to enhance both economic and photocatalytic activity of TiO2, supporting TiO2 into solid material is interesting effort. In this research, brick waste was chosen as low cost and effective support for TiO2. TiO2 supporting onto brick waste by impregnation method was carried out. The composite of TiO2/Brick waste (TiO2/BW) was conducted by dispersing titanium tetraisopropoxide as TiO2 precursor followed by calcination. Characterization of TiO2/BW was performed by XRD analysis, Diffuse Reflectance UV-Vis and FTIR analysis. For photocatalytic activity, experiments on photocatalysis and photooxidation of rhodamine B solution were examined. Prepared Ti-BW exhibits the formation of TiO2 in mixed anatase and rutile phases as presented by XRD pattern. From the DRUV-Vis analysis, it is found that the band gap energy of composite material lays in UV-Visible region. TiO2/BW showed high photoactivity as represented by faster degradation rate of rhodamine B over photooxidation and photocatalysis compared to adsorption method. From the data simulation, it is revealed that rhodamine B degradation over photocatalysis mechanism follow pseudo-first order while over photooxidation the kinetic obey pseudo-second order.
Automatic Ticket Assignment using MachineLearning and Deep Learning Techniques

One of the important factors of Information Technology Service Industries is to provide user satisfaction and better customer service while saving cost. To achieve the said objective industries often opt for Ticketing system to handle unforeseen service interrupting events. These unforeseen events are also termed as ’incident’. Incident management processes provide quick fixes or workarounds to solve the incident and ensure little or no business impact. Traditionally, the incidents have been manually assigned to the concern teams which has sometimes resulted in human errors, resource consumption, higher response and resolution times and ultimately poor customer service. This research project focuses on automated analysis and allocation of ’incidents’ to appropriate teams using Natural Language Processing and Machine Learning techniques. The data set used in this research contains information in multiple languages and the data has been translated into English for better understanding of the data indicating that the solution to this problem could be obtained using a combination of various data pre-processing, Language Translation and Classification techniques. High class imbalance has been identified in the data set and it has been solved using combination of under-sampling and over-sampling techniques. To classify the incident tickets multiple algorithm namely K-Nearest Neighbours(KNN), Support Vector Machine(SVM), Random Forest(RF),Artificial Neural Network(ANN),Bidirectional Long Short Term Memory(BLSTM) have been trained and hyper-parameter tuning has been performed using different cross validation techniques. Furthermore, confidence interval and k-fold cross validation technique have been used to validate the scores. The ANN model has obtained 93.6% and 95.1% confidence interval at 95% alpha while accuracy score is 95% on the test data. Keywords-Ticketing system, Natural Language Processing, KNN, SVM, RF, ANN, BLSTM
Seedless preparation of Au nanorods by hydroquinone assistant and red blood cell membrane camouflage

Au nanorods (AuNRs) have attracted extensive attention in diagnosis and therapy, because of their excellent photothermal effects. Although many of attempts have been employed to prepare AuNRs with a good-size monodispersity, facile and feasible preparation methods are still welcomed in consideration of theranostics-related photothermal applications. In this work, AuNRs are prepared through a seedless method using hydroquinone as the reductant. The longitudinal located surface plasmon resonance peak of the as-prepared AuNRs can be tuned from 650 to 840 nm and the AuNRs indicate a good photothermal conversion efficiency. To lower the toxicity, natural red blood cell membranes are employed to coat the AuNRs. In the primary experiment in vitro, red blood cell membrane-coated AuNRs exhibit good biocompatibility and photothermal treatment effect.
Dynamical Analysis and Periodic Solution of a Chaotic System with Coexisting Attractors

Chaotic attractors with no equilibria, with an unstable node, and with stable node-focus are presented in this paper. The conservative solutions are investigated by the semianalytical and seminumerical method. Furthermore, multiple coexisting attractors are investigated, and circuit is carried out. To study the system’s global structure, dynamics at infinity for this new chaotic system are studied using Poincaré compactification of polynomial vector fields in R 3 . Meanwhile, the dynamics near the infinity of the singularities are obtained by reducing the system’s dimensions on a Poincaré ball. The averaging theory analyzes the periodic solution’s stability or instability that bifurcates from Hopf-zero bifurcation.
Analysis of polychlorinated biphenyls treatment present in transformers oils

In this research, we demonstrated the effectiveness of potassium polyethylene plycolate method (KPEG) in the removal of polychlorinated biphenyls (PCBs) from transformer oil. A commercially available transformer oil composed of a mixture of PCBs (Aroclor 1254) was treated by polyethylene glycol 400 (PEG 400), with potassium hydroxide (KOH). The relative efficiency of the different treatments was assessed in terms of the destruction and removal efficiency (DRE, %) by means of gas chromatography at different reaction times. Our results revealed that the DRE average, with a value of 95.0%, was obtained under the experimental conditions: mol ratio KOH/PEG = 2:1 and KPEG/oil = 30:1 for 3 h 30 min of reaction at 90°C. Additionally, the influence of time demonstrated effect on the dechlorination of PCBs.
High selective catalyst

The invention relates to a high selective catalyst, which mainly solves the technical problems of low raw material conversion rate and low destination product selectivity during preparing ethylene glycol by oxalic ester hydrogenation in the prior art. An active ingredient, an auxiliary agent and a carrier are adopted in the catalyst. The catalyst comprises the following components in part by weight: a) 8 to 60 parts of active intergradient selected from copper, copper oxide or mixture thereof; b) more than 0 to 20 parts of at least one auxiliary agent selected from main group metal element, transition metal element or lanthanide compound; and c) 20 to 60 parts of carrier, wherein the carrier is selected from adhesive-free molecular sieve, the specific surface is 100 to 800 square meters per gram, and the molar ratio of Si to Al is 40 to full silicon. According to the technical scheme, the high selective catalyst well solves the problems, and can be applied to the industrial productionof preparing the ethylene glycol by hydrogenation of the oxalic ester.
Biodiesel synthesis optimization from wet and dry based microalgae chlorella vulgaris by reaction time arrangement

Microalgae have the potential to be used as the raw material for biodiesel synthesis. One of promising microalgae species to be used is Chlorella vulgaris. However, in the process of biodiesel synthesis from microalgae needs to be optimized. In this study, optimization of biodiesel synthesis from wet and dry based microalgae Chlorella vulgaris has been studied. Optimization done by arranges the time of transesterification reaction. Transesterification reaction has been done using KOH catalyst. The reaction time was varied at 20, 40, and 60 minutes. From the results, the highest yields of biodiesel are obtained on the 40 minutes reaction time with biodiesel yield is 75% for wet based microalgae and 62.8% for dry based microalgae. Biodiesel from dry based microalgae Chlorella vulgaris composed by several types of FAME, including saturated FAME such as methyl myristate (4.48%), methyl palmitate (28.3%), and methyl stearate (17.1%), and also composed by unsaturated FAME such as methyl palmitoleate (11.1%) and methyl oleate (39.1%).
Study of stationary vortex with a free surface at the bottom of the orifice flow

ABSTRACT Theoretical investigations are conducted to study the structure of stationary vortex with a free surface at the bottom of the orifice flow. A modified Lundgren-like model has come up to describe the vortex flow and the governing equations of the theoretical model are solved numerically. Based on the calculation results, the flow distribution and structure characteristic are analyzed, and several quantitative relationships between the major flow parameters at a high radial Reynolds number (including the outflow rate, tangential circulation, water level, export size, maximum tangential velocity, vortex core radius, and liquid viscosity) are obtained. Furthermore, a formula of the critical submerged depth for the stationary free surface vortices is derived and the results from the formula are consistent with the experiments.
Non-local coupling of two donor-bound electrons

We report the results of an experiment investigating coherence and correlation effects in a system of coupled donors. Two donors are strongly coupled to two leads in a parallel configuration within a nano-wire field effect transistor. By applying a magnetic field we observe interference between two donor-induced Kondo channels, which depends on the Aharonov–Bohm phase picked up by electrons traversing the structure. This results in a non-monotonic conductance as a function of magnetic field and clearly demonstrates that donors can be coupled through a many-body state in a coherent manner. We present a model which shows good qualitative agreement with our data. The presented results add to the general understanding of interference effects in a donor-based correlated system which may allow us to create artificial lattices that exhibit exotic many-body excitations.
From covalent triazine-based frameworks to N-doped porous carbon/reduced graphene oxide nanosheets: efficient electrocatalysts for oxygen reduction

By selecting 4,4′-dicyanobiphenyl (DCBP) as a building block, porous covalent triazine-based frameworks (CTFs) incorporating pyridinic N only have been deliberately fabricated. Upon pyrolysis, the CTF-templated N-doped and hierarchically porous carbons (NHCs) exhibit high surface area, adjustable pore structure and well-controlled doping of pyridinic and graphitic N species. The above CTFs have been rationally grown onto highly conductive reduced graphene oxide (rGO) to afford CTF/rGO hybrids. The subsequent pyrolysis gives sandwich-like NHC/rGO composites, which synergistically integrate respective advantages of both the components of NHC and rGO, thus offering excellent electrocatalytic performance for the oxygen reduction reaction (ORR). Significantly, the resultant NHC/rGO-950 exhibits a more positive onset and half-wave potential, higher diffusion-limited current density and better long-term stability than the state-of-the-art Pt/C and is among the best of previously reported metal-free electrocatalysts, in alkaline solution. Such rGO-templated NHCs based on CTFs offer a promising strategy to design highly efficient metal-free ORR electrocatalysts for fuel cells.
A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

We present a low-cost integrated nanophotonic lab-on-a-chip platform suitable for point-of-care (POC) biomarker analysis. The sensor chip included in the platform contains multiplexed Mach–Zehnder interferometers with an on-chip optical spectral analyser consisting of an arrayed-waveguide grating. The sensor chip is fabricated in silicon nitride material, which makes it compatible with consumer-electronics-grade sources and detectors, leading to the possibility of low-cost instrumentation. The nanophotonic sensor chip exhibits a detection limit of 6 × 10−6 RIU (Refractive Index Units), which is in the same order of magnitude as the reported values for state-of-the-art evanescent wave sensors. The sensor chip is biofunctionalised with specific bioreceptors and integrated into a polymer microfluidic cartridge. The POC instrumentation platform contains optical excitation and read-out sub-systems and dedicated on-board software for real-time analysis of patient samples. To demonstrate the versatility of the platform, we present results both on the detection of an antigen related to tuberculosis directly in urine samples using a laboratory prototype and on the detection of a protein biomarker (CRP) related to inflammation using the integrated instrument.
Size Changes of Reverse Micelles after Extraction of Peanut Protein and Their Forward Extraction Rates

Abstract: The aim of this study was to detect the size changes of reverse micelles after extraction of peanut protein and their forward extraction rates. Factors that affect the size of reverse micelles and the extraction of peanut protein were also investigated. The size of reverse micelles and the size changes were measured according to the theory of dynamic light scattering under different conditions such as different sodium bis (2-ethylhexyl) sulfosuccinate (AOT) concentrations, pH values, ion concentrations, and salt species. With the increase of AOT surfactant concentrations in a certain range, the size of empty and full reverse micelles increased and the forward extraction rate decreased. The effect of pH on empty reverse micelles was not significant. However, the effect of pH on the full reverse micelle size and forward extraction rate were significant. Its forward extraction rate increased to the maximum 39.6% at pH 7.5. The increase of the salt concentration of a buffer solution in a certain range decreased the size of empty and full reverse micelles and reduced the forward extraction rate of peanut protein. Ionic species had important effects on reverse micelles and peanut protein extraction. An increase in the amount of buffer solution enlarged the empty reverse micelle size in 0.03%‒0.11% (V/V). However, it did not translate to a larger reverse micelle size. The size of the empty reverse micelles containing K2SO4 reached 24.1 nm with a 0.19% (V/V) buffer solution added. The sizes of the full reverse micelles were larger than those of the empty reverse micelles after forward extraction. However, maximum sizes were achieved with the addition of a 0.03% (V/V) buffer solution. The amount of 0.03% (V/V) buffer solution added was appropriate for extracting peanut protein. Supported by National Natural Science Foundation of China (21176058, 31171790, 21376064, 31201293), and Innovation Scientists and Technicians Troop Construction Projects of Zhengzhou City (ISTTCPZZC).
Simultaneous Determination of Rosuvastatin and Propranolol by HPLC in Pharmaceutical Dosage Form

Abstract Rosuvatatine calcium and propranolol hydrochloride have been already presented in a combined pharmaceutical preparation for treatment of the patients suffering from hyperchloestrolemia with hypertension disease. Hence, a separating technique should be applied for the determination of both drugs. Chromatographic simultaneous determination has been applied for estimating rosuvastatin calcium and propranolol hydrochloride in the combined form. An isocratic separation was carried out on BDS Hypersil C18 (250×4.6 mm, 5 μm particle size) reversed phase column with a mobile phase containing methanol: acetonitrile: buffer (0.05 M sodium acetate, pH adjusted to 4.0 using acetic acid) (60:35:5; v/v/v). The flow rate was 1 mL/min and UV detection was set at 231 nm. The linear regression analysis of the calibration graphs showed a good linear relationship for both drugs over a concentration range of 5-25 μg/ml. The method was validated according to ICH guidelines. The proposed method has been found to be accurate, reproducible feasible, and specific for simultaneous analysis of both drugs in both bulk and commercial dosage form.
Entrepreneurs' Access to Private Equity in China: The Role of Social Capital

Drawing on Social network theory, this article argues for enhancing effects of social capital of entrepreneurs on investment selection decisions of venture capitalists (to invest versus not to invest), and main effects of social capital on investment process decisions such as venture valuation, investment delivery speed and contractual warrants/provisions. The core idea of enhancing effects is that the presence of particularistic ties between venture capitalists and entrepreneurs will affect positively investment selection decisions of venture capitalists if only other main factors for investment making such as management team, industry, market attractiveness, proprietary technologies and products are perceived as strong by investors. The context of the study is People's Republic of China. The empirical data is composed of 158 venture capital investment decisions in Beijing and Shanghai. The main finding is that social capital is supplementary and additive to other investment determining factors such as project and team qualities at selection stage, and social capital is a main factor for investment process decisions once a venture has been selected for funding. The main theoretical implication is that social capital may affect outcome variables in interaction with other factors. The main practical implication for entrepreneurs is that social capital is probably necessary but insufficient for raising venture capital successfully.
Using Directed Evolution to Increase Solubility of Recombinant Membrane Proteins and Shear Stress-Mediated Investigation of Protein Folding

Author(s): Smith, Joshua Noble | Advisor(s): Weiss, Gregory A | Abstract: Proteins serve a wide array of biological functions ranging from facilitating cell-to-cell interactions to modulating signal transduction pathways. Due to misregulation or folding errors, proteins are associated with a wide number of disease states. Understanding the functional roles and structural folding of proteins is a key step towards investigating their functions in diseases. Advances in high-yielding recombinant protein overexpression expedited the exploration into their structural, functional, and therapeutic capabilities. However, certain proteins such as membrane proteins are difficult to overexpress efficiently as they are hydrophobic and aggregation-prone. Eukaryotic overexpression systems, such as mammalian or insect cell-based systems, are most commonly used to overexpress membrane proteins. Although effective, these methods are cost and time inefficient; thus, overexpression in E. coli is preferred. Previous work in our laboratory featured the directed evolution and selection of a human caveolin-1 variant genetically fused with maltose binding protein (MBP) capable of overexpressing in E. coli. This variant was soluble only when genetically fused with maltose binding protein (MBP). However, the presence of the very large MBP as a genetic tag greatly limited the ability to characterize the biophysical properties of the caveolin-1 variant. This dissertation details the strategy to alleviate this problem; engineering a new library of caveolin variants using phage display. We report the selection of a new caveolin-1 variant that remains soluble without the presence of MBP, termed cavsol. The work described here details the first time that detailed in vitro biophysical characterization for full-length caveolin-1 is accomplished due to the production of cavsol. Additionally, cavsol provided the key tool necessary to display the oligomeric-disrupting ability of a high affinity caveolin-specific peptide with further therapeutic implications. Importantly, this solubilization technique establishes a general approach for other membrane proteins. Recombinant protein overexpression can result in the generation of insoluble protein-aggregates isolated in inclusion bodies. Isolating these proteins is often difficult, requiring chemical denaturation and refolding. Conventional refolding techniques are time consuming and require high amounts of buffer solution. We demonstrate a novel method for refolding proteins in minutes with minimal reagent volumes, using mechanically-induced shear-stress. This method not only successfully refolded proteins to their native conformation, but can investigate partially folded protein states as well. Overall, we provide a generalizable method for improving the overexpression of difficult-to-express membrane proteins and offer an alternative approach for rapid refolding of denatured proteins.
Colloidal Synthesis of Semiconductor Quantum Dots toward Large Scale Production: A Review

The development of green synthetic approaches is one of the key materials challenges in moving toward semiconductor quantum dots (QDs) for large-scale production and commercial applications. This article presents a comprehensive overview on the synthesis of colloidal QDs prepared via chemical approaches in solution phase, with emphasis on green routes which possess the advantages of environment-friendly raw materials, simple operation process, and robust mass-scale production. The approaches for the synthesis of QDs in batch reactors are summarized, including hot-injection organometallic synthesis, noninjection organometallic synthesis, aqueous synthesis and biosynthesis approaches, with some of the concerns on their limitations for scale-up, followed by some continuous synthetic methods aiming for reproducible and large-scale production. Current advances in continuous synthesis of QDs by microfluidic devices, high-gravity reactors, and spray-based techniques are briefly introduced. We also provide some i.
Estimation of Dynamic Nonlinear Rational Expectations Models of Primary Commodity Markets with Private and Government Stockholding

Stochastic-dynamic programming and disequilibrium maximum likelihood methods are combined to estimate a dynamic nonlinear rational expectations model of a market for a storable primary commodity. The estimation model captures the inherently nonlinear structure of private stockholding dynamics, the disequilibrium effects of government buffer stock intervention, and the impact of price expectations and risk on private supply and stockholding decisions. Copyright 1993 by MIT Press.
Application of Capillary Electrophoretic On-Line Sequential Concentration Based on Micelle to Solvent Stacking

To take advantage of micelle to solvent stacking (MSS) to achieve more sensitivity enhancement with enough selectivity, the application of capillary electrophoretic online sequential concentration based on the MSS was reviewed. MSS has been coupled to sweeping FASS, FASI and normal EKI. Furthermore, multiple stacking by coupling MSS with more than one stacking method has also been reported. It is more sensitive and selective than solely used of one or two stacking methods and is very suitable for complex and trace sample analysis.