Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Rufinamide in the Presence of 1-[(2,6-Difluorophenyl)Methyl]-1H-1,2,3-Triazole-4 Carboxylic Acid Using RP-HPLC and Derivative Ratio Methods as Stability Indicating Assays to Be Applied on Dosage Form.

BACKGROUND Rufinamide is a triazole derivative that is structurally dissimilar to other marketed antiepileptic drugs, has been assumed a marketing authorization, by the European Union and FDA, for use as a complementary therapy for seizures associated with Lennox-Gastaut syndrome. OBJECTIVE This work is concerned with development of two methods for determination of rufinamide (RUF) in presence of 1-[(2,6-difluorophenyl)methyl]-1H-1,2,3-triazole-4 carboxylic acid as its alkaline degradation product in dosage form. METHODS The first method was capable of determing RUF in the presence of its alkaline degradation product and in dosage form. Kromasil C8 column and mobile phase consisting of acetonitrile-water (50:50, v/v) were used and UV detection at 210 nm. In the second method, first derivative ratio spectrophotometry, RUF was determined by measuring peak amplitude at 269.5 nm over 5-30 μg/mL. RESULTS The linearity range of RUF was 10-90 μg/mL for HPLC method covering its therapeutic range with r2 = 0.9999. Forced degradation under alkaline conditions was carried out, the degradation product was isolated and its structure was confirmed. Both methods were validated in accordance to ICH guidelines. Statistical analysis revealed no significant difference between obtained results and reported ones. CONCLUSION The present study is useful for therapeutic drug monitoring and routine analysis of RUF in quality control laboratories. HIGHLIGHTS Kinetics of the alkaline degradation of RUF was studied by following the concentration of the remaining drug until complete degradation was achieved.
ANTIOXIDANT AND ANTICANCER ACTIVITY OF METHANOLIC EXTRACT FROM STEPHANIA ELEGANS

Objective: The present work was aimed to investigate the in vitro antioxidant and anti-cancer activities of methanolic extract of Stephania elegans , an unexplored species from Menispermaceae family. Methods: The methanolic extract of S. elegans tubers was prepared and phytochemical screening and total phenolic content were analyzed by using standard methods. In vitro, antioxidant potential of methanolic extract was determined by 2-2’-azinobis (3-ethyl-benzothiazoline-6-sulfonic acid) (ABTS) and ferric reducing antioxidant power (FRAP) assays. Cytotoxicity against human breast cancer cell line, Michigan Cancer Foundation-7 type (MCF-7) was evaluated by 3-(4, 5 dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide) (MTT) assay. Results: Preliminary phytochemical screening revealed the presence of alkaloids, flavonoids, carbohydrates, tannins, terpenoids, steroids, and saponins in the methanolic extract of S. elegans tubers. The total phenolic content in the methanolic extract was 23.0±0.06 mg GAE/g (dry mass). As revealed by ABTS assay, the methanolic extract of plant tubers showed significant radical scavenging activity (IC 50 41.66±0.015 μg/ml). The reducing power activity of the extract increased with the concentration of the extract. MTT assay indicated that S. elegans has potent cytotoxic activity towards MCF-7 cells (IC 50 158.7±0.13 μg/ml). Conclusion: This is the first study demonstrating the antioxidant and anticancer capabilities of the methanolic extract of S. elegans . This study also provides a significant basis for further isolation and characterization of bioactive compounds from S. elegans .
Seasonal and Latitudinal Variability of the Gravity Wave Spectrum in the Lower Stratosphere

Superpressure balloon data of unprecedented coverage from Loon LLC is used to investigate the seasonal and latitudinal variability of lower stratospheric gravity waves over the entire intrinsic frequency spectrum. We show that seasonal variability in both gravity wave amplitudes and spectral slopes exist for a wide range of intrinsic frequencies and provide estimates of spectral slopes in five latitudinal regions for all four seasons, in five different frequency windows. The spectral slopes can be used to infer gravity wave amplitudes of intrinsic frequencies as high as 70 cycles/day from gravity waves resolved in model and reanalysis data. We also show that a robust relationship between the phase of the quasi‐biennial oscillation and gravity wave amplitudes exists for intrinsic frequencies as high as the buoyancy frequency. These are the first estimates of seasonal and latitudinal variability of gravity wave spectral slopes and high‐frequency amplitudes and constitute a significant step toward obtaining observationally constrained gravity wave parameterizations in climate models.
Decision-Making of LID-BMPs for Adaptive Water Management at the Boise River Watershed in a Changing Global Environment

We conducted a study on water management at the Boise River Watershed in a changing global environment potentially induced by climate variability and urbanization. Environmental ‘hotspots’ associated with water quality and quantity were first identified to select suitable management options, such as Low Impact Development (LID is commonly used for urban storm water management to reduce impacts induced by flash flood in urban environment while improving water quality standard by filtering non-point source pollutants from predominant, impervious land segments in urban settings.) and Best Management Practices (BMPs) for urban and rural land segments, respectively. A decision-making process was employed to evaluate the cost-effectiveness for each management option based on multiple criteria, including water quality, financial challenges, and other environmental concerns. The results show that LID/BMPs were useful to control water quality in the watershed. The effectiveness of LID/BMPs implementation was subject to change with the placement location and consideration objectives associated with economic or environmental aspects. It appears that about 10% of the study area is required to implement water management options (LID/BMP) to improve water quality potentially driven by climate variability and urbanization. We anticipate that this study will make a case toward developing a sustainable water management plan in a changing global environment, especially for the urban–rural interface settings.
A Positive Feedback Loop Ensures Propagation of ROS Production and JNK Signaling Throughout Drosophila Tissue Regeneration

Regenerating tissue must initiate the signaling that drives regenerative growth, and sustain that signaling long enough for regeneration to complete. How these key signals are sustained is unclear. To gain a comprehensive view of the changes in gene expression that occur during regeneration, we performed wholegenome mRNAseq of actively regenerating tissue from damaged Drosophila wing imaginal discs. We used genetic tools to ablate the wing primordium to induce regeneration, and carried out transcriptional profiling of the regeneration blastema by fluorescent labeling and sorting the blastema cells, thus identifying differentially expressed genes. Importantly, by using genetic mutants of several of these differentially expressed genes we have confirmed that they have roles in regeneration. Using this approach, we show that high expression of the gene moladietz (mol), which encodes the Duox-maturation factor NIP, is required during regeneration to produce reactive oxygen species (ROS), which in turn sustain JNK signaling during regeneration. We also show that JNK signaling upregulates mol expression, thereby activating a positive feedback signal that ensures the prolonged JNK activation required for regenerative growth. Thus, by wholegenome transcriptional profiling of regenerating tissue we have identified a positive feedback loop that regulates the extent of regenerative growth. Author summary Regenerating tissue must initiate the signaling that drives regenerative growth, and then sustain that signaling long enough for regeneration to complete. Drosophila imaginal discs, the epithelial structures in the larva that will form the adult animal during metamorphosis, have been an important model system for tissue repair and regeneration for over 60 years. Here we show that damage-induced JNK signaling leads to the upregulation of a gene called moladietz, which encodes a co-factor for an enzyme, NADPH dual oxidase (DUOX), that generates reactive oxygen species (ROS), a key tissue-damage signal. High expression of moladietz induces continuous production of ROS in the regenerating tissue. The sustained production of ROS then continues to activate JNK signaling throughout the course of regeneration, ensuring maximal tissue regrowth.
Prototype campaign assessment of disturbance-induced tree loss effects on surface properties for atmospheric modeling.

NSF [EF-1340624, EF-1340649, EF-1340604, EF-1550641, EF-1550686, EF-1550756]; Arizona Agricultural Experiment Station; Estrategia de Sostenibilidad Universidad de Antioquia; North American Carbon Program/USDA CREES NRI [2004-35111-15057, 2008-3510119076]; Science Foundation Arizona [CAA 0-20308]
Definition des regulatorischen Netzwerkes von Pseudomonas aeruginosa zur Anpassung an anaerobe Lebensbedingungen

Das Pathogen Pseudomonas aeruginosa infiziert die Lungen von Mukoviszidose-Patienten. Dort dringt es in den Mukus ein und bildet Mikrokolonien, die eine Entzundungsreaktion verursachen. Durch die P. aeruginosa-Besiedelung sinkt der Sauerstoffpartialdruck des Mukus, wodurch eine mikroaerobe bis anaerobe Umgebung entsteht. Es ist somit von Bedeutung, die anaeroben Wachstumsbedingungen und das dazugehorige regulatorische Netzwerk von P. aeruginosa zu verstehen. Mittels der vergleichenden Transkriptomanalyse anaerob gegenuber aerob gewachsener P. aeruginosa Zellen konnten 413 differentiell exprimierte Gene identifiziert werden, die den Gruppen Energiemetabolismus, Stressreaktion durch Sauerstoffmangel und Wachstumsstop aufgrund der anaeroben Inkubation aerober Zellen zugeordnet wurden. Zur Aufklarung des regulatorischen Netzwerkes wurden vergleichende Transkriptomanalysen von Negativmutanten des globalen anaeroben Regulators Anr und dem fur die Denitrifikation notwendigen Regulators Dnr durchgefuhrt. Mittels dieser Analysen konnten dem Anr-Regulon 63 Gene und dem Dnr-Regulon 11 Gene zugeordnet werden. Zur weiteren Charakterisierung des Anr-Regulons wurden P. aeruginosa Chemostat-Kulturen unter mikroaeroben und denitrifizierenden Bedingungen kultiviert und diese einer differentiellen Transkriptom- und Proteomanalyse unterzogen. Mit Hilfe der Microarray-Analyse konnten 94 unterschiedlich regulierte Gene und mittels der Proteomanalyse 24 differentiell regulierte Proteine detektiert werden, die dem Energiestoffwechsel, dem Quorum Sensing und dem Typ III-Sekretionssystem zugeordnet werden konnten. Die im Rahmen der vorliegenden Arbeit gewonnenen Daten konnen die Grundlage fur die Aufklarung des komplexen Regulationsnetzwerkes fur die Umstellung von aerober uber mikroaerophiler zu anaerober Lebensweise von P. aeruginosa bilden und so zentrale Prozesse der Biofilmbildung und Infektion auf molekularer Ebene verstandlich machen.
Isolation and functional characterization of a Lonicera japonica hydroxycinnamoyl transferase involved in chlorogenic acid synthesis

Abstract The flower buds of Lonicera japonica are a rich source of antioxidants, comprising mostly flavonoids and phenolic acids, and in particular chlorogenic acid (5-caffeoylquinic acid, CGA), dicaffeoylquinic acid and caffeic acid. Hydroxycinnamoyl-CoA transferases are important for the synthesis of CGA. Here, the isolation and characterization of a Lonicera japonica gene encoding a hydroxycinnamoyl-CoA quinate transferase (HQT) is described. The recombinant LjHQT, produced by heterologously expressing the gene in Escherichia coli, favored p-coumaroyl-CoA over caffeoyl-CoA as its acyl donor, and expressed a higher affinity for quinate over shikimate as its its acyl acceptor. Southern blot analysis showed that the L. japonica genome harbors at least two copies of LjHQT. LjHQT transcript abundance was promoted both by spraying the leaves with salicylic acid or abscisic acid, and exposing them to a period of low temperature. The constitutive expression of LjHQT in Arabidopsis thaliana resulted in the production of CGA in the leaf and an higher level of resistance to the bacterial pathogen Pseudomonas syringae. CGA synthesis was positively correlated with LjHQT transcript abundance. When a fusion between the LjHQT promoter and GUS was expressed in A. thaliana, GUS expression was observed mainly in the sepal, vascular bundle, stigma and axillary bud.
Dual‐Functional Atomic Zinc Decorated Hollow Carbon Nanoreactors for Kinetically Accelerated Polysulfides Conversion and Dendrite Free Lithium Sulfur Batteries

The lithium sulfur (Li–S) battery is a preferential option for next‐generation energy storage technologies, but the lithium polysulfide shuttling, sluggish redox kinetics, and uncontrollable lithium dendrite growth hamper its commercial viability. Herein, well‐dispersed single atom Zn‐decorated hollow carbon spheres (Zn1‐HNC) are developed as dual‐functional nanoreactors for polysulfides‐suppressed sulfur cathodes (Zn1‐HNC‐S) and dendrite‐free lithium anodes (Zn1‐HNC‐Li) simultaneously for high‐capacity, high‐rate, and long‐cycling Li–S batteries with fast redox kinetics. Benefiting from its excellent electronic conductivity, high surface area (370 m2 g−1), highly‐effective active sites and protective carbon shell, the resultant nanoreactor possesses strong physical confinement, chemical anchoring, and exceptional electrocatalysis for polysulfides. Meanwhile, the nanoreactor with excellent lithiophilic ability realizes uniform and dendrite‐free lithium deposition. Integrating all these advantages, the assembled full battery (Zn1‐HNC‐S||Zn1‐HNC‐Li) delivers remarkable electrochemical properties including long cycle stability with an ultralow capacity fading rate of 0.015% per cycle over 700 cycles and superb rate performance of 989 mAh g−1 at 10 C. Moreover, a high areal capacity of 8.7 mAh cm−2 with high S loading of 7.8 mg cm−2 at low E/S ratio (6.4 µL mg−1) is achieved. This work provides significant insight of structure and surface catalytic chemistry regulation for promoting the actual application of Li–S batteries.
Espécies novas de Anthurium e Philodendron (Araceae) do sudeste brasileiro

Resumo: Sete especies novas, A. ribeiroi Nadruz, A. queirozianum Nadruz, A. riodocense Nadruz, A. siqueirae Nadruz, A. zeneidae Nadruz, Philodendron ruthianum Nadruz e P. follii Nadruz, sao descritas para a Reserva Natural Vale no estado do Espirito Santo, sudeste do Brasil. Com excecao de P. ruthianum, as demais especies sao, ate o momento, endemicas na area em estudo. Sao fornecidas diagnoses, ilustracoes e comentarios sobre distribuicao geografica, ecologia, fenologia e estado de conservacao destas especies. Palavras-chave: Brasil, Espirito Santo, Reserva Natural Vale, taxonomia.
E-Trust and Post-Purchase Experience on Repurchase Intention through Customer Satisfaction: Study on Instagram Account @Jastipmlg

This study examines four variables between e-trust, post-purchase experience, customer satisfaction, and repurchase intention. The objective is to analyze and explain the effect of e-trust and post-purchase experience on repurchase intention by testing customer satisfaction as an intervening variable. The object of research is personal shoppers also known as Jasa Titip through Instagram, namely the @jastipmlg. 100 respondents in this study are followers and customers who make repurchases. The analysis technique uses descriptive analysis and linear regression to confirm the structural equation model that is built. The quantitative approach was chosen to explain the influence of the research variables. The results of this study found that e-trust and post-purchase experience affect repurchase intention through customer satisfaction.
Ice Regime of the Kozłowa Góra Reservoir (Southern Poland) as an Indicator of Changes of the Thermal Conditions of Ambient Air

Ice phenomena are construed as the occurrence of ice in water irrespective of its structure, form, and duration. One of the most frequently discussed research problems is the possibility of using long-term ice phenology as an indicator of changes of the thermal conditions of ambient air. The study used correlation analysis and regression models in order to determine changes in the parameters studied over time. In order to compare the ice regime of the study reservoir and other lakes in the region, discriminant function analysis, principal components analysis (PCA), and canonical redundancy analysis (RDA) were applied. During the 52 winter seasons studied (1964–2015), there were weak but still statistically significant trends concerning the increase in air temperature in the region (by 0.3 °C per decade), the reduction in the number of days with ice cover (by 8.6 days per decade) and the decline in the maximum and average thicknesses of lake ice (by 2.0 cm and 1.2 cm per decade). The low average depth and volume capacity are reflected in the rapid freezing rate of the reservoir, and its location results in a longer duration of ice cover, greater ice thickness, and later dates of its melting.
Attenuation correction for human PET/MRI studies

Attenuation correction has been one of the main methodological challenges in the integrated positron emission tomography and magnetic resonance imaging (PET/MRI) field. As standard transmission or computed tomography approaches are not available in integrated PET/MRI scanners, MR-based attenuation correction approaches had to be developed. Aspects that have to be considered for implementing accurate methods include the need to account for attenuation in bone tissue, normal and pathological lung and the MR hardware present in the PET field-of-view, to reduce the impact of subject motion, to minimize truncation and susceptibility artifacts, and to address issues related to the data acquisition and processing both on the PET and MRI sides. The standard MR-based attenuation correction techniques implemented by the PET/MRI equipment manufacturers and their impact on clinical and research PET data interpretation and quantification are first discussed. Next, the more advanced methods, including the latest generation deep learning-based approaches that have been proposed for further minimizing the attenuation correction related bias are described. Finally, a future perspective focused on the needed developments in the field is given.
Monitoring and Analysis of Single Tube Temperature Distribution in Heat Exchanger Simulator Using TPA 81 Thermopile Array

The Energy Engineering and Environmental Conditioning Laboratory has a heat exchanger simulator which is used to determine the temperature changes with respect to time due to air velocity. This simulator has tubes which are used to find out the temperature change with time. The working principle of this simulator is to monitor changes in temperature on the tube that has been preheated and then cooled using a fan contained in the simulator. In this study entitled Visualization and Analysis of Temperature Distribution of one tube in a plant heat exchanger simulator performs temperature measurements using a TPA81 thermal array sensor. This is because the process of reducing the temperature of the tube becomes purely caused by the fan not from the outside environment. The results obtained from this study are visualization of temperature distribution using the Thermal Array TPA81 sensor, having a linearity value of 0.034%, a precision value of the instrument of 98.1%, an accuracy value of 0.285%, and an error value of 0.154 (W/m 2 K). For the analysis of temperature distribution it is concluded that the value of the temperature does not affect the size and size of h, because the value of h (the coefficient of heat transfer convection) is distributed with time.
Analysing momentum balance over a large wind farm using a numerical weather prediction model

This study attempts to better understand the mechanisms of wind farm blockage effect by analysing momentum balance in realistic atmospheric flow over an idealised large offshore wind farm. The analysis is performed following the two-scale momentum theory, which predicts the importance of three different terms in the farm-scale momentum balance, namely the streamwise pressure gradient, Coriolis force and acceleration/deceleration terms. A numerical weather prediction (NWP) model is used as a realistic farm-scale flow model in this study to investigate how these three terms tend to change in time. Initial results suggest that the streamwise pressure gradient may be enhanced substantially by the resistance caused by the wind farm, whereas its influence on the other two terms appears to be relatively minor. These results suggest the importance of modelling the farm-induced pressure gradient accurately for various weather conditions in future studies of wind farm blockage.
Impact of the mineralogical composition of natural pozzolan on properties of resultant geopolymers

This article presents a comparison between the impact of different mineralogical compositions of natural pozzolans for geopolymer synthesis. Beyond an optimum silica modulus, the compressive strength either increases on low rate or decreases with age. The presence of zeolite minerals enhances the reactivity of natural pozzolans. In contrast, the presence of calcite can lead to the incorporation of calcium into the reaction products. At the same time, the carbonate can enhance the formation of sodium carbonate, which can deplete the alkalis and water from binder gel, thereby reducing the rate of compressive strength development. In severe cases, the crystallization pressure of sodium carbonate can cause a complete disintegration of the structure. These effects are pronounced for samples outside the optimum silica modulus range and for low reactive pozzolans.
Making Informal Adult Learning Visible. The Recognition of the Third Sector Professionals’ Key Competences

The third sector represents a vast and heterogeneous universe that has a key role in society from both the social and civil points of view. It also represents an informal learning context where competence and knowledge are acquired, often in a tacit and indirect way. This research focuses on the key competences of the third sector professionals and on the pedagogical methods to make them visible and to encourage their recognition. The quantitative and qualitative data sources include: questionnaires, focus groups, and diaries. The results show that the informal learning of key competences by professionals is a primary result of their activities that should be given greater visibility. Six areas of expertise have been identified in order to classify the range of knowledge and competence. The pedagogical approach has highlighted the importance of the tutor who applies narrative tutoring methods to facilitate the recognition of competences and their enhancement for personal and professional development. The full enhancement of competences, considered as the strengthening of people’s reflection and planning potential, requires policies that can be effectively applied to the national competences certification system.
Modeling the volatility of stock prices for the Saudi stock market general index (TASI)

This Paper aims to model the daily closing prices of the General Index (TASI), which expresses the Saudi stock market by studying three time periods, The first period is short, which extends from (October 1, 2018 to May 21, 2020) and the intermediate extends from (January 1, 2017 to May 21, 2020), a total period extends from (April 26, 2015 to May 21, 2020) Using a number of GARCH family models through identification, estimation, selecting the best model, diagnosis chickening of the model and forecasting. The results concluded that the best model for representing the time series data for the intermediate and total period is the model is EGARCH (1,1) As for the short period, the best model is TGARCH (1,1).