Miracle-dz/UniFAR-FTUs huggingface dataset:
Assisted flocculation of Chlorella Sorokiniana by co-culture with filamentous fungi

Due to economic, energetic and environmental constraints, the production of biofuels from microalgae has not been sustainable. Harvesting of microalgae has been identified as a major bottleneck in the process chain. This paper compares harvesting technologies and highlights the use of filamentous fungi as a promising new strategy to harvest single cell microalgae (2-20 μm). In coculture with fungi, large pellets (1-2mm) are formed which are easily separated from the culture medium. Microalgae may be immobilized by the addition of pre-cultured fungal pellets shortly before harvesting, autotrophic co-culture at
Genetic Variability at the ADP Ribose Binding Site of SARS-CoV-2 Macrodomain and Predicting Its Effects on ADP Ribose Binding

Non-structural protein 3 (nsp3) is a large multidomain protein encoded by SARS-CoV-2 RNA. Within nsp3, there are three tandem macrodomains, including Mac1, Mac2, and Mac3. In contrast to Mac2 and Mac3, Mac1 is conserved among coronaviruses (CoVs), and it binds to monoand poly-ADP-ribose and hydrolyzes MAR from target proteins. Mac1 is known to interfere with the immune response, possibly due to its ability to remove ADP-ribose from ADP-ribosylated proteins and RNA as part of the host's immune response's intricacies. (Alhammad et al., 2020)
Estimation of daily average downward shortwave radiation from MODIS data using principal components regression method: Fars province case study

Abstract Downward shortwave radiation is a key quantity in the land-atmosphere interaction. Since the moderate resolution imaging spectroradiometer data has a coarse temporal resolution, which is not suitable for estimating daily average radiation, many efforts have been undertaken to estimate instantaneous solar radiation using moderate resolution imaging spectroradiometer data. In this study, the principal components analysis technique was applied to capture the information of moderate resolution imaging spectroradiometer bands, extraterrestrial radiation, aerosol optical depth, and atmospheric water vapour. A regression model based on the principal components was used to estimate daily average shortwave radiation for ten synoptic stations in the Fars province, Iran, for the period 2009-2012. The Durbin-Watson statistic and autocorrelation function of the residuals of the fitted principal components regression model indicated that the residuals were serially independent. The results indicated that the fitted principal components regression models accounted for about 86-96% of total variance of the observed shortwave radiation values and the root mean square error was about 0.9-2.04 MJ m−2 d−1. Also, the results indicated that the model accuracy decreased as the aerosol optical depth increased and extraterrestrial radiation was the most important predictor variable among all.
Comperative Study of Maceration and Ultrasonic-Assisted Extraction of Galantamine and Lycorine Content and Antioxidant Activity of Galanthus Elwesii Hook

Galanthus elwesii Hook is a medically and economically important species that contains acetylcholinesterase inhibitory alkaloids galantamine and lycorine with well-known biological activities. In a field experiment, different plant parts of G. elwesii were harvested at three growing stages: flowering, post-flowering and fruit set. A comparative evaluation of maceration and ultrasonic-assisted extraction of galantamine and lycorine from these plant parts was implemented. The antioxidant activities and the contents of total phenolic and flavonoid of different plant parts were also investigated. The quantfication of galantamine and lycorine in the extracts was carried out by Reversed-phase High-Performance Liquid Chromatography. The HPLC analysis showed that ultrasonic-assisted extraction displayed higher quantities of galantamine, lycorine, total phenolic compounds and flavonoid and stronger antioxidant activity than maceration extraction. The highest amount of galantamine and lycorine was found in the root and leaf samples taken at fruit set as 89.27 and 23.20 µg g-1, respectively. Further, the leaf and bulb samples of fruit formation yielded the highest total phenolic and flavonoid contents of 45.58 and 60.92 GAE g-1 DW, respectively. In addition, higher antioxidant activities were observed with the leaf and bulb samples harvested at the stage of fruit set.
General relativity in R: visual representation of Schwarzschild space using different coordinate systems

In general relativity, Schwarzschild coordinates for a black hole have desirable properties such as asymptotic matching with flat-space spherical coordinates; but other coordinate systems can be used which have other advantages such as removing the non-physical coordinate singularity at the event horizon. Following Schwarzschild’s original publication in 1916 of his spherically symmetrical solution to the vacuum Einstein field equations, a variety of coordinate transformations have been described that highlight different features of the Schwarzschild metric. These include: Kruskal-Szekeres (Kruskal, 1960; Szekeres, 1960), Eddington-Finkelstein (Eddington, 1924; Finkelstein, 1958), Gullstrand-Painleve (Gullstrand, 1922; Painlevé, 1921), Lemaitre (Lemaître, 1933), and various Penrose transforms with or without a black hole (Hawking & Ellis, 1973). These are described in many undergraduate GR textbooks such as Schutz (2009) and Carroll (2019).
Humidity-sensitive characteristics of porous La-Ti-V-O glass-ceramics

Les caracteristiques de capteur d'humidite des vitroceramiques de composition: La 2 O 3 -TiO 2 -V 2 O 5 sont analysees en fonction de l'addition de V 2 O 5 au verre de systeme Na 2 O-B 2 O 3 -La 2 O 3 -TiO 2 et la temperature de chauffage du verre. Cette analyse se base sur les variations de l'impedance intrinseque des verres
Novel Applications of Buffer-Gas Cooling to Cold Atoms, Diatomic Molecules, and Large Molecules

Cold gases of atoms and molecules provide a system for the exploration of a diverse set of physical phenomena. For example, cold gasses of magnetically and electrically polar atoms and molecules are ideal systems for quantum simulation and quantum computation experiments, and cold gasses of large polar molecules allow for novel spectroscopic techniques. Bu er-gas cooling is a robust and widely applicable method for cooling atoms and molecules to temperatures of approximately 1 Kelvin. In this thesis, I present novel applications of bu er-gas cooling to obtaining gases of trapped, ultracold atoms and diatomic molecules, as well as the study of the cooling of large organic molecules. In the rst experiment of this thesis, a bu er-gas beam source of atoms is used to directly load a magneto-optical trap. Due to the versatility of the bu er-gas beam source, we obtain trapped, sub-milliKelvin gases of four di erent lanthanide species using the same experimental apparatus. In the second experiment of this thesis, a bu er-gas beam is used as the initial stage of an experiment to directly laser cool and magneto-optically trap the diatomic molecule CaF. In the third experiment of this thesis, bu er-gas cooling is used to study the cooling of the conformational state of large organic molecules. We directly observe conformational relaxation of gas-phase 1,2-propanediol due to cold collisions with helium gas. Lastly, I present preliminary results on a variety of novel applications of bu er-gas cooling, such as mixture analysis, separation of chiral mixtures, the measurement of parityviolation in chiral molecules, and the cooling and spectroscopy of highly unstable reaction intermediates.
Unmasking Uncle Sam: A Legal Test for Identifying State Media

In December 2018, the Chair of the House Foreign Affairs Committee published a report detailing how the U.S. Agency for Global Media, the flagship federal state media agency, improperly targeted Americans with its content through social media 860 times over a two-year period. U.S. state media agencies have enormous resources, and if left unchecked, could unduly influence free public discourse and threaten the independence of the American free press. To address this growing concern, this Article proposes a new comprehensive legal test for identifying state media that incorporates existing approaches employed by the federal government and private media entities for analyzing government publications.
Trade Openness and Economic Growth in Indonesia

Economic growth and international trade are related to one another. International trade stimulates long-term economic growth. The more trade activities in a country, the more rapid economic growth; this trade is a key component of development in a country, its contribution is felt with the increasing economic growth in several countries. The purpose of this study looks at the impact of trade openness on economic growth in Indonesia in 1986-2017. This research is a quantitative study using time series data from 19862017, research data obtained from the world bank, data analysis techniques using the GMM method to see the impact of trade openness on economic growth. The test results using the Generalized Method of Moments analysis method show that all variables significantly influence the dynamics of economic growth in Indonesia. This result is proven by the t-statistic probability value, which shows a smaller value compared to the t-table value. Then the value also has a probability of less than α. It can be concluded that the variables of trade, FDI, inflation, and the number of workers have a significant effect on economic growth in Indonesia.
MECHANISMS AND CONSIQENCES OF LYSOSOMAL MEMBRANE PERMEABILIZATION FOLLOWING EXPOSURE TO BIOACTIVE PARTICLES

Exposure to bioactive environmental particles and engineered nanoparticles are a significant public health concern. Inhalation of bioactive particles can result in chronic inflammation, which drives tissue remodeling and fibrosis. Furthermore, chronic inflammation can increase individual susceptibility to other diseases including cancer and autoimmune diseases. The macrophage is the critical cell in particle clearance following exposure, and is central to the inflammatory responses and tissue remodeling. Phagocytosed bioactive particles within macrophages cause cytotoxicity and activation of the NLRP3 inflammasome, outcomes that are both essential to inflammation and disease development. However, mechanisms that regulate NLRP3 inflammasome activity and cytotoxicity have not fully been elucidated. The objective of this body of work was to further define common yet critical mechanisms that cause and/or mediate NLRP3 inflammasome activity following exposure to bioactive particles. In these studies we demonstrate that bioactive particles including silica and engineered nanomaterials cause lysosome membrane permeabilization (LMP) and the
Qualitative analysis of time series geodata to prevent complications and emergencies during drilling of oil and gas wells

The purpose of the article is a systematic analysis of drilling data obtained from geological and technological measurement stations in real time, taking into account the geological characteristics of the area being drilled for further forecasting the possibility of complications and accidents during drilling and construction of oil and gas wells. Comprehensive analysis showed the lack of basic software for the recognition and prevention of complications and emergencies based on data obtained in real time. An equally important problem is the lack of reliable lithological and stratigraphic information on the description of sludge during geological and technological measurements. The list of geological and geophysical data required to solve the problem of preventing complications and accidents during the drilling of oil and gas wells has been determined. Geological and technological parameters along the wellbore depth obtained in real time were classified according to the degree of their applicability in machine learning methods.
EXAMINING THE QUALITY OF ENGLISH TEST ITEMS USING PSYCHOMETRIC AND LINGUISTIC CHARACTERISTICS AMONG GRADE SIX PUPILS

Purpose - This study examined the quality of English test items using psychometric and linguistic characteristics among Grade Six pupils. Method - Contrary to the conventional approach of relying only on statistics when investigating item quality, this study adopted a mixed-method approach by employing psychometric analysis and cognitive interviews. The former was conducted on 30 Grade Six pupils, with each item representing a different construct commonly found in English test papers. Qualitative input was obtained through cognitive interviews with five Grade Six pupils and expert judgements from three teachers. Findings - None of the items were found to be too easy or difficult, and all items had positive discrimination indices. The item on idioms was most ideal in terms of difficulty and discrimination. Difficult items were found to be vocabulary-based. Surprisingly, the higher-order-thinking subjective items proved to be excellent in difficulty, although improvements could be made on their ability to discriminate. The qualitative expert judgements agreed with the quantitative psychometric analysis. Certain results from the item analysis, however, contradicted past findings that items with the ideal item difficulty value between 0.4 and 0.6 would have equally ideal item discrimination index. Significance -The findings of the study can serve as a reminder on the significance of using Classical Test Theory, a non-complex psychometric approach in assisting classroom teacher practitioners during the meticulous process of test design and ensuring test item quality.
IOT based Industry Automation Using Raspberry PI

Industries have been automated with machines that allow for fully automated tasks without or with little manual intervention. There are many challenges to IoT and Industrial Automation for example Data and service security, Trust, data integrity, information privacy, scalability and interoperability Automation Domain Constrains. This paper combines the concept of Raspberry Pi Industrial workstation and Industrial Automation using IoT. Here we propose efficient industry automation system that allows user to efficiently control industry appliances/machines over the internet.
Design and Assessment of a Membrane and Absorption Based Carbon Dioxide Removal Process for Oxidative Coupling of Methane

The oxidative coupling of methane (OCM) is a direct path for converting methane into ethene (ethylene), which is one of the most important building blocks for the chemical industry. Carbon dioxide is generated as a byproduct in the reactor and must be separated in order to produce the pure olefin. This step is commonly achieved by amine scrubbing, in which a significant amount of energy is consumed for regenerating the amine. In this contribution, a hybrid system employing gas separation membranes and absorption is modeled and simulated in order to carry out preliminary engineering design and economic evaluations to assess the feasibility of applying this process on industrial scale. It is demonstrated that the hybrid process offers economic advantage when compared to the standalone absorption process when carbon dioxide is used as diluent in the OCM reactor.
LncRNA NKX2-1-AS1 As ceRNA Promotes Tumor Progression and Angiogenesis by Upregulating SERPINE1 Expression and Activating VEGFR-2 Signaling Pathway in Gastric Cancer

Background: Recent evidence indicated that the lncRNA NKX2-1-AS1 (NKX2-1 antisense RNA 1) plays an important role in cancer progression and metastasis. However, the associated molecular mechanisms of NKX2-1-AS1 in GC are still unclear. Methods: To determine the target of the study by bioinformatic analysis. NKX2-1-AS1 expression was measured in paired tumor and non-tumor tissues of 178 GC patients, by quantitative reverse transcription PCR. The in vitro and in vivo biological functions of NKX2-1-AS1 were examined by loss-of-function and gain-of-function experiments. The potential mechanisms of this competing endogenous RNA (ceRNA) were elucidated using dual-luciferase reporter assay, quantitative PCR, Western blot, and fluorescence in situ hybridization (FISH). Results: NKX2-1-AS1 expression was upregulated in GC cell lines and tumor tissues, which was correlated with tumor progression and enhanced angiogenesis. Functionally, NKX2-1-AS1 overexpression promoted GC cell proliferation, metastasis, invasion, and angiogenesis, while NKX2-1-AS1 downregulation reversed these effects, both in vitro and in vivo. Bioinformatics analysis and dual-luciferase assay showed that the microRNA miR-145-5p is a direct target of NKX2-1-AS1, and that NKX2-1-AS1 acts as a ceRNA that regulates angiogenesis in the context of GC. The mechanistic study revealed that miR-145-5p specifically targets serpin family E member 1 (SERPINE1), and that the complex NKX2-1-AS1/miR-145-5p activates VEGFR2 signaling, via SERPINE1, to promote tumor proliferation and angiogenesis. Conclusion: NKX2-1-AS1 upregulation is associated with tumor cell proliferation, increased angiogenesis, and poor prognosis in GC patients. NKX2-1-AS1 regulates SERPINE1 expression and VEGFR2 signaling by acting as a ceRNA for miR-145-5p.
Antibiotic Treatment in An. coluzzii Affects Carbon and Nitrogen Metabolism

The mosquito microbiota reduces the vector competence of Anopheles to Plasmodium and affects host fitness, it is therefore considered as a potential target to reduce malaria transmission. While immune induction, secretion of antimicrobials and metabolic competition are three typical mechanisms of microbiota-mediated protection against invasive pathogens in mammals, the involvement of metabolic competition or mutualism in mosquito-microbiota and microbiota-Plasmodium interactions has not been investigated. Here, we describe a metabolome analysis of the midgut of An. coluzzii provided with a sugar-meal or a blood-meal, under conventional or antibiotic-treated conditions. We observed that the antibiotic treatment affects the tricarboxylic acid cycle and nitrogen metabolism, notably resulting in decreased abundance of free amino acids. Linking our results with published data, we identified candidate pathways which may participate in microbiota/Plasmodium interactions via metabolic interactions or immune modulation.
Measures for Employee Engagement: Public Service in Sri Lanka

Employee engagement is crucial in the delivery of public service efficiently and effectively. Employee engagement is essential as a foundation for service climate (Salanova et al., 2005). Measuring employee engagement is vital to identify the areas to be improved to increase the service quality. The most accepted Utrecht Work Engagement Scale (UWES) is heavily applied to measure the employee engagement of Business to Customer (B2C) profit oriented organizations. Therefore, a customized measure for employee engagement is essential for public service. This paper describes the development of a customized scale based on UWES scale for assessing employee engagement in public service with reference to Divisional Secretariats in Sri Lanka. In developing and validating measures, qualitative and quantitative methods were utilized as recommended by Hinkin's (1998). Finally, a customized scale with 16-items was developed under vigor, dedication and absorption dimensions to measure the employee engagement of public service in Sri Lanka.
Temporal Order and Pen Velocity Recovery for Character Handwriting Based on Sequence to Sequence Gated Recurrent Unit Model

The online signal is rich in dynamic features such as trajectory chronology, velocity, pressure and pen up/down. Their offline counterpart consists of a set of pixels. Thus, the online handwriting recognition accuracy is generally better than the offline one. In this paper, we propose an original framework for recovering temporal order and pen velocity from offline handwriting. Our framework is based on sequence to sequence Gated Recurrent Unit (Seq2Seq GRU) model. The proposed system consists in extracting a hidden representation from an image using Convolutional Neural Network (CNN) and Bidirectional GRU (BGRU), and decoding the encoded vectors to generate dynamic information using BGRU. We validate our framework by an online recognition system applied on Latin, Arabic and Indian On/Off dual handwriting character database. To prove the performanceof the proposed system, we achieve a low error rate of point coordinates and a high accuracy rate of the LSTM recognitionsystem.
An Improved Direct Instantaneous Torque Control Based on Adaptive Terminal Sliding Mode for a Segmented-Rotor SRM

In this article, an improved direct instantaneous torque control (DITC) based on adaptive terminal sliding mode control (ATSMC) is proposed to suppress torque ripple and enhance the anti-interference ability for switched reluctance motors (SRMs). The proposed speed controller used in the outer loop of DITC is based on the rate of change in load torque. The state of the system converges quickly to the equilibrium point and realizes fast output of the given torque without known disturbance upper bound. Moreover, a novel reaching law is proposed to reduce torque ripple and startup time. The stability of the adaptive terminal sliding mode motion is verified by using the Lyapunov function. The improved DITC system is implemented on a 16/10 segmented-rotor SRM. Compared with sliding mode control and terminal sliding mode control, the proposed ATSMC in the DITC system behave with better performances in aspects of the speed and torque response, antiinterference ability, robustness, and torque ripple suppression. Simulation and experimental results are given to verify the effectiveness of the improved DITC.
Adaptive bidirectional droop control for electric vehicles parking lot with vehicle-to-grid service in microgrid

With the popularity of electric vehicles (EVs), a large number of EVs will become a burden to the future grid with arbitrary charging management. It is of vital significance to the control of the EVs charging and discharging state appropriately to enable the EVs to become friendly to the grid. Therefore, considering the potential for EVs seen as energy storage devices, this paper proposes a multiport DC-DC solid state transformer topology for bidirectional photovoltaic/battery-assisted EV parking lot with vehicle-to-grid service (V2G-PVBP). Relying on the energy storage function of EVs, V2G-PVBP is able to not only satisfy the normal requirements of EVs' owner, but also provide the function of load shifting and load regulation to the microgrid. In this paper, EVs are categorized into limited EV and freedom EV. Limited EVs are always kept in charging state and freedom EVs can take part in the load regulation of the microgrid. The proposed adaptive bidirectional droop control is designed for freedom EVs to make them autonomously charge or discharge with certain power which according to each EV's state of charge, battery capacity, leaving time, and other factors to maintain the stability of the future microgrid. Eventually, the simulation and experiment of the adaptive bidirectional droop control based V2G-PVBP are provided to prove the availability of V2G-PVBP.