Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of pour point depressant of EVA/nano MMT composites on Changqing crude oil

The special electrification of nano-Montmorillonite(MMT) was used to gain organic modified montmorillonite(O-MMT) with long alky side chain containing quaternary ammonium salt by ion exchange. The O-MMT obtained was used for preparing nano-composite EVA/O-MMT with melt blending method. The depressive effects of EVA/O-MMT on Changqing waxy crude oil were studied and compared with the pure EVA depressant. The crystallization characteristics of crude oil was investigated by differential scanning calorimeter(DSC) and morphology of their wax crystal with undoped /doped EVA/O-MMT analyzed using polarized light microscope. The result showed that there was the best performance when addition of EVA/O-MMT was at 50 mg·kg-1. Compared with EVA, EVA/O-MMT could make crude oil gelation point further decrease 2.5℃, did average viscosity reduce 25% at 5℃, the maximum rate of viscosity reduction could be up to 28.2%, and the yield stress of crude oil decreased up to 55.5%. DSC results showed that the addition of nano-montmorillonite could rise the initial crystallization temperature of EVA, could widen the crystallization temperature range and reduce wax precipitation point of crude oil. Microscopic results showed the addition of EVA/O-MMT made wax crystal structure of crude oil more compact.
Interactive comment on “Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation” by Florian Ellsäßer et al.

Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation by Ellsasser et al The manuscript under consideration reports a 9-days study of surface temperature measurements over an oil palm plantation in Indonesia using a thermal camera mounted on a drone. The authors used the temperature data to calculate the latent heat ﬂux using three different models, with/out radiation inputs, and showed good agreement between one of the models and the latent heat estimated from an eddy-covariance (EC) calculation based on an on-site ﬂux tower. The drone-based
Neuroserpin: a regulatory role for a neuronal serpin in human T cell activation and migration

• Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. • Authors control the copyright of their thesis. You will recognize the author's right to be identified as the author of this thesis, and due acknowledgement will be made to the author where appropriate. • You will obtain the author's permission before publishing any material from their thesis.
Frequency noise measurement and its uncertainty estimation of an optical frequency comb using a delay line interferometer

We describe frequency noise measurements for an optical frequency comb by using a delayed self-heterodyne method with a Michelson-type fiber-optic delay line interferometer without a low-noise reference laser. We measured the frequency noise power spectral densities (PSDs) for free-running and frequency-stabilized comb modes and estimated the uncertainties of the measurement results. For example, for the frequency-stabilized comb, the measured frequency noise PSD and its uncertainty were 23 dBHz2 Hz−2 and 0.66 dB, respectively, at a Fourier frequency of 10 kHz. We also measured the frequency noise PSDs of the comb modes by the conventional method using an ultrastable reference laser and compared the results with those that we measured with the delayed self-heterodyne method. The measurement results that we obtained with the two methods were consistent within their uncertainties, which shows that the delayed self-heterodyne method provides high reliability. This combined with its simplicity and user-friendliness suggest that the method has the potential to become a standard frequency noise measurement approach for frequency combs.
Evaluation of three doses of Trichoderma harzianum for the control of black scab (Rhizoctonia solani) of potatoes in Huari, Ancash

Objectives: To evaluate the effect of three levels of concentration of the biological agent Trichoderma harzianum (Tricho-D) in the control of Rhizoctonia solani potato cv. Yungay in Huari, Ancash. Methods: The research was carried at Tumbos farm, located in the district of Chavin de Huantar, Huari, from November 2018 to February 2019. A completely randomized block design was used, with four treatments (three levels of Tricho-D, and a control). The variables evaluated were: the degree of severity, percentage of incidence, AUDPC, control efficiency, and tuber yield per plant. Results: The dose of 0.3 kg ha-1 of Tricho-D reported less severity with a degree of 0.75 and 7.5% incidence of R. solani disease. Likewise, the dose of 0.3 kg ha-1 of Tricho-D had an effect antagonistic about the fungus R. solani obtaining a high control efficiency with 82.5%. The highest dose of 0.3 kg ha-1 of Tricho-D reported a higher yield per plant with 757.5 g plant-1 in cv. Yungay. Conclusions: The dose of 0.3 kg ha-1 of Tricho-D had an antagonistic effect with the parasitic activity of the R. solani fungus controlling the black scab in potatoes cv. Yungay under field conditions in Chavín of Huantar, Huari-Ancash.
Nonstationary weather and water extremes: a review of methods for
their detection, attribution, and management

Abstract. Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind/storms have devastating effects each year. One of the key challenges for society is understanding how these extremes are evolving and likely to unfold beyond their historical distributions under the influence of multiple drivers such as changes in climate, land cover, and other human factors. Methods for analysing hydroclimatic extremes have advanced considerably in recent decades. Here we provide a review of the drivers, metrics and methods for the detection, attribution, prediction and projection of nonstationary hydroclimatic extremes. We discuss issues and uncertainty associated with these approaches (e.g arising from insufficient record length, spurious nonstationarities, or incomplete representation of nonstationary sources in modelling frameworks), examine empirical and simulation-based frameworks for analysis of nonstationary extremes, and identify gaps for future research.
Designing, Developing, and Evaluation of a Germane Load-Based Cognitive Rehabilitation Program for Students with Specific Learning Disabilities

Objectives: The current study aimed to design, develop, and evaluate a germane load-based cognitive rehabilitation program designed for students with special learning disabilities. Methods: The exploratory, descriptive method was used for designing the program. Thematic analysis (Sterling (2001)) was used to estimate the germane load themes. Based on the previous studies, 85 specific germane load codes were identified and evaluated. According to the results, the Multimedia Principle in germane load, Multi-personalization principle, and the Feedback principle consisted of 16, 17, 12 basic themes, respectively. Besides, the Reflection principle, as the most important learning principle in germane load, contained 17 basic themes, and the Guided Activity principle consisted of 8 basic themes. The content validity method was used to validate the program, both quantitatively and qualitatively, with a panel of 10 experts as well as two relative content validity coefficients (CVR) and content validity index (CVI). Results: The minimum and maximum content validity index (CVI) for each article or program component are 0.8 and 1, respectively, and the minimum and maximum content validity index (CVR) for each article or program component are 0.7 and 1, respectively. Conclusions: The results showed that the germane load-based cognitive rehabilitation program for students with special learning disabilities has appropriate content validity as well as the necessary validity for educational, clinical, and research purposes.
The Influence of Preprocessing Methods on Multivariate Image Analysis in High-Performance Thin-Layer Chromatography Fingerprinting

Planar chromatography is commonly used for the quality control of herbal medicines due to its many advantages. Its combination with chemometrics was proven to be a fast and reliable tool for the extraction of even more analytical information, such as similarity or dissimilarity between samples, and the identification of marker compounds. To date, depending on image processing procedures, different variables have been obtained as input data, and thus, various preprocessing procedures have been applied. In this study, we converted the chromatogram images of high-performance thin-layer chromatography to form a data matrix, by digitization of the chromatograms. Further, principal component analysis was applied on raw data and investigated after different preprocessing techniques. The proposed preprocessing techniques were successfully applied to improve the differentiation between two types of German propolis. The best multivariate models were observed in the case of warping, standard normal variate, and mean centering/autoscaling.
Fabrication and Characterization of Copper Nanoparticles by Green Synthesis Approach Using Plectranthus Amboinicus Leaves Extract

The field of nanotechnology is gaining interest among the researchers towards the eco-friendly way of synthesis of nanoparticles. In this project, green synthesis technique was employed to induce the synthesis of copper nanoparticles using Plectranthus amboinicus, i.e. Mexican mint, identified as Coleus amboinicus leaf extract. We report an eco-friendly synthesis of copper nanoparticle using Plectranthus amboinicus leaf extract, which is a simple and an ostentatiously rapid method which produces stable nanoparticles. The copper sulphate solution was naturally employed as a precursor for synthesizing the copper nanoparticles. The extract of the plant Plectranthus amboinicus was found to showcase excellent reducing and stabilizing properties. By using Ultraviolet-Visible spectroscopy, Zeta Potential, and X-Ray Diffraction (XRD) studies, it was confirmed that copper nanoparticles have been synthesized. The UV-Spectrometer analysis shows the characteristic peak indicating the synthesis of copper nanoparticles. The pattern of XRD analysis showed particle size of 16 - 25 nm and it reveals high crystallinity of the copper nanoparticles. Zeta potential was done to find the charge of the nanoparticles and size distribution which showed to have significant stability. This method proves to be cost-effective, can be performed at ease, and it’s also free of pollutants.
Critical review on various inverter topologies for PV system architectures

To achieve clean and sustainable energy, the demand for renewable energy has been increasing day-by-day. As it is known the conversion efficiency of PV cells is very less, which motivates further research in the development of PV systems. Incorporating the power converters of less cost, more life-time, compact size, and preferably low complexity will address the above-mentioned limitation. To achieve optimum performance from PV systems for different applications especially in interfacing the utility to renewable energy sources, choosing an appropriate grid-tied inverter is crucial. The different types of PV inverter topologies for central, string, multi-string, and micro architectures are reviewed. These PV inverters are further classified and analysed by a number of conversion stages, presence of transformer, and type of decoupling capacitor used. This study reviews the inverter topologies for all PV architectures, which is new of its type. All the parameters such as merits, demerits, complexity, power devices of the aforementioned PV inverter are drafted and tabulated at the end of every classification. Different control strategies for balanced and unbalanced grid integration such as d q , α β , a b c , fault ride through, and unified power flow control are discussed. This review would be helpful for researchers in this field to select a most feasible inverter for their application, as this study reviews considerable number of PV inverters on one platform.
On Zeno Behavior in Event-Triggered Finite-Time Consensus of Multiagent Systems

This article studies Zeno behavior, where an infinite number of events occur in a finite-time interval, in the event-triggered multiagent systems that aim at achieving consensus in finite time. Two popular scenarios in the first-order multiagent systems with model-based event-triggered controllers are considered. One is that the event trigger in each agent samples the absolute information, and decides when to broadcast the information to its neighbors, and the other is that the update of control signals is only scheduled by the local event triggers via directly using the (combined) relative information. The events are triggered when the measurement error between the agent, and model states violates a given threshold function. Both cases are studied, where the threshold is generated by the agent state or by the model state. Then, sufficient conditions on the existence of Zeno behavior in event-triggered finite-time consensus of multiagent systems are provided. For the triggering conditions with the thresholds given by agent states, the system must exhibit Zeno behavior; while in the case of using model states, the existence of Zeno behavior is influenced by the properties of the communication topology, and the threshold functions. Finally, several simulations, and examples are provided to illustrate the effectiveness of the theoretical results.
Response to Reviewers

El Niño Southern Oscillation (ENSO) can exert a remote impact on North Atlantic and European (NAE) winter climate. This teleconnection is driven by the superposition and interaction of different influences, which are generally grouped into two main pathways, namely the tropospheric and stratospheric pathways. In this study, we focus on the tropospheric pathway through the North Pacific and across the North American continent. Due to the possible non-stationary behaviour and the limited time period covered by reanalysis data sets, the potential nonlinearity of this pathway remains unclear. In 5 order to address this question, we use a simplified physics atmospheric model forced with seasonally varying prescribed sea surface temperatures (SST) following the evolution of different ENSO phases with linearly varying strength at a fixed location. To isolate the tropospheric pathway the zonal mean stratospheric winds are nudged towards the model climatology. The model experiments indicate that the tropospheric pathway of ENSO to the North Atlantic exhibits significant nonlinearity with respect to the tropical SST forcing, both in the location and amplitude of the impacts. For example, strong El Niño leads 10 to a significantly stronger impact over the North Atlantic Oscillation (NAO) than a La Niña forcing of the same amplitude. For La Niña forcings, there is a saturation in the response, with no further increase in the NAO impact even when doubling the SST forcing, while this is not the case for El Niño. These findings may have important consequences for long-range prediction of the North Atlantic and Europe.
Luminescent cytochemical methods of detecting microorganisms

: The paper shows that the luminescence cytochemical technique can be used for identification of microorganisms and microbiological synthesis products. The method is based on the interaction of specific fluorescence probes (ANS, terbium ions, and beta-diketonate complexes of europium, as well as metal-containing porphyrines) with major microbial intracellular components and toxins. Unlike classical microbiological, immunochemical or biochemical methods of detection, the proposed method has a reasonable versatility, specificity, sensitivity, rapid action, and possible automation.
Detection of Blood Flow Speed in Shallow and Deep Tissues Using Diffuse Correlation Spectroscopy

Diffuse correlation spectroscopy (DCS) is an emerging optical technique for noninvasive measurement of hemodynamics of living tissues. Using emitter and detector optical probes attached to the body surface, DCS estimates the mean speed of blood ow in the tissue, through which the emitted near-infrared light propagates (blood ow index: BFI). The advantage of DCS is that the mean blood ow in deeper tissues such as muscle layers can be measured noninvasively. To investigate the sensitivity of DCS in detecting the physiological changes of blood ow in deep and shallow tissues, we measured the blood ow speed in 14 healthy participants during a reactive hyperemia test and skin temperature changes. In the reactive hyperemia test, blood ow returned to the steady state faster in deep tissues than in shallow tissues, and temperature-dependent reallocation of local blood ow in shallow and deep tissues was clearly observed. These results demonstrate that DCS can measure the differences in physiological blood ow dynamics in deep and shallow tissues, suggesting the potential use of DCS to noninvasively quantify changes at microcirculation level in both shallow and deep tissue layers.
Phosphorus Fractionation of Activated Sludges from Modified Bardenpho Processes with and without Chemical Precipitant Supplementation

The natural occurrence of chemically precipitated phosphate in activated sludge (AS) has been hypothesized for over two decades and deserves fresh attention in view of the increasingly common practice of chemical addition to modified AS systems to achieve P removal. In this study, orthophosphate extracted from AS of modified Bardenpho plants could not be accounted for on the basis of polyphosphate interferences. In a plant not dosed with chemicals at least 14 mg P/g VSS were therefore formed by natural precipitation reactions while an identical plant dosed with ferric sulphate showed at least 37 mg P/g VSS to be of this fraction. A plant dosed with alum and receiving wastewater of mainly industrial origin contained up to 8 mg P/g VSS as chemical precipitate which was over half the total P content of that sludge. Restraint in dosing chemicals is suggested to prevent unnecessary suppression of the biological mechanism of P removal. Ferrous sulphate dosing may be superior to that with ferric sulphate Since the latter apparently causes poly P hydrolysis. Complex interactions between iron, ortho P and biomass are indicated. Furthermore, iron-ortho P complexes in mixed liquor supernatant may be unreactive in the colorimetric ortho P assay.
Pengobatan Alternatif Sebagai Upaya Penyembuhan Penyakit

In modern times, variety of advanced technologies have been present in various fields, one of which is health. Rapid developments in the health sector include medical care. Medical treatment experiences a lot of progress that give hope for the patient's recovery. This certainty is because medical treatment has been considered a rational and scientific treatment. On the other hand, in reality there are still many patients who use alternative medicine. Patients have trust or believe that alternative medicine is a treatment that can healing their illness because they have economical prices, minimal side effects and are easy to find. The purpose of this literature study is to find out the reasons for patients in choosing alternative medicine as an effort to healing the disease. So that alternative medicine is chosen by patients to try to healing diseases other than using medical treatment.
Warming up Cooling Cooperators

The warm-glow of giving is one mechanism proposed to account for high levels of human cooperation. However, little is known about how warm-glow can be harnessed to sustain long-term cooperation to benefit wider society (vaccinations, blood donation). We argue that the power of warm-glow to sustain long-term cooperation cools offs over time but can be warmed-up with a simple intervention message. We test, and confirm this prediction, in a field-based experiment (n = 5,821) comparing warm-glow versus positive affect messages to predict long-term cooperation (blood donation) and confirm our findings in a subsequent implementation study comparing donation attendance in a 3 year pre-implementation period, prior to the warm-glow message being sent to all 1st time donors in Australia (Ns = 90,317, 93,430 & 89,606) to a 2 year post-implementation period (Ns = 81,766 & 88,551). Exogenously manipulated warm-glow can encourage long-term cooperation that benefits society. Wider societal implications are discussed.
Yield and Gel Strength of Gelatin Extracted from Smoked Salmon (Salmo salar) Skins

ABSTRACT The gelatin yield and gel strength of gelatin extracted from the skins of smoked salmon were determined. The skins had a crude protein content of 43.5 ± 1.2% and an estimated collagen content of 23.6 ± 1.0%. Following an alkali extraction process under varying extraction conditions, the protein content varied from 2.78% to 32.1%, and the gelatin yield ranged from 2.23% to 22.4% of the initial skin weight. The gelatin purity (gelatin/protein) ranged from 55.4% to 100%, with the highest Hyp/protein sample arbitrarily designated as being 100% pure, i.e., an assumption of pure gelatin. Statistical analysis showed that HCl concentration, pretreatment temperature, and extraction temperature significantly affected the protein yield and gelatin yield. The wide range of gel strengths indicates that the gelatin might have been hydrolyzed to different extents during the different extraction and cooling processes. Statistical analysis did not show that any of the factors studied affected the gel strength. However, the data indicated that low NaOH concentrations and HCl concentrations might not prevent hydrolysis during the extraction process. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS–PAGE) showed that the gelatins contained α- and β-chains and that the gelatins composed of higher concentrations of larger molecular weight polypeptide chains had higher gel strengths.