Miracle-dz/UniFAR-FTUs huggingface dataset:
The Semi‐Analytical Solution for Non‐Equilibrium Solute Transport in Dual‐Permeability Porous Media

This study presents a conceptual Dual‐Permeability Non‐Equilibrium (DPNE) model that accounts for both physical and chemical non‐equilibria to describe the reactive solute transport through a porous medium. A semi‐analytical solution of the DPNE model is derived in the Laplace domain, which is then numerically inverted to obtain concentrations in different domains at different times and depths. The derived semi‐analytical solution is validated using experimental data and existing analytical (for simple problems) and numerical solutions. The Global Sensitivity Analysis (GSA) is performed to identify model parameters with an impact on nonreactive tracer breakthrough curves (BTC) for a selected data set. A sensitivity‐based calibration of the DPNE model’s parameters is carried out to simulate a BTC with multiple inflection points. The DPNE model can better describe the experimental datasets than the model based on the dual‐porosity (MIM) concept with first‐order mass transfer. Since the DPNE model considers detailed sorption and mass transfer dynamics, it is suitable for process‐based investigations.
Higher Dimensional LRS Bianchi Type-I String Cosmological Model with Bulk Viscosity in General Relativity

Objective: To present a new solution to the field equations obtained for higher dimensional LRS Bianchi type-I universe generated by means of a cloud of strings with particles connected to them with bulk viscosity in general relativity. Methods: To obtain the solutions of field equations of higher dimensional LRS Bianchi type-I universe we consider that the shear scalar of the model is proportional to the scalar expansion of the model (saq ), which leads to, c=b^n. The physical and geometrical behaviors of the model universe are studied by comparing with the present cosmological scenario and observations. Findings: It is observed that our model is anisotropic, expanding and decelerates at early stage and then accelerates in late universe giving the inflation model universe. Novelty: We obtained new solution to the field equations for higher dimensional LRS Bianchi type-I generated by means of a cloud of strings with bulk viscous fluid in general relativity. Keywords: LRS Bianchi TypeI Metric; Bulk Viscous Fluid; Strings
Sidelobe Suppression of Metalens Antenna by Amplitude and Phase Controllable Metasurfaces

Amplitude and phase controllable metasurfaces are proposed to suppress the sidelobe levels (SLLs) of a metasurface lens (metalens). The amplitude-control metasurface is responsible for controlling the transmission amplitude with its unit cells’ phase shift variation less than ±10°. The phase-control metasurface is responsible for transferring the spherical incident waves to plane waves with its unit cell covering 360° transmission phase shift, while the transmittance remains higher than −1 dB. Both the metasurfaces are with symmetrical structures for dual-polarization. By integrating the amplitude and phase controllable metasurfaces, a $9.7\lambda _{0} \times 9.7\lambda _{0}$ metalens operating at 28 GHz 5G bands is designed and successfully suppresses the SLL. Within the 3 dB gain bandwidth from 26.0 to 29.0 GHz, this metalens antenna achieves the SLL lower than −20.9 dB in H-plane and lower than −17.3 dB in E-plane. The maximum gain is 23.4 dBi at boresight, and the achieved SLL is −16.3 dB as its scanning angle reaches the maximum of ±29°. Compared with the phase-only metalens, the proposed metalens antenna realizes the maximum and minimum SLL suppression of 9.8 and 3.4 dB within the 3 dB gain bandwidth at a price of a gain drop of 0.8 dB at the designed frequency.
Spectrophotometric Determination of Metronidazole by Prior Reduction and Subsequent Diazotisation and Coupling with N-(1-naphthyl)ethylenediamine-Application to Pharmaceutical Preparations

A simple, rapid and sensitive spectrophotometric method for the determination of microgram amounts of metronidazole (MZ) has been proposed. The method is based on the reduction of metronidazole with iron metal and hydrochloric acid followed by diazotisation and coupling with N-(1-naphthyl)ethylenediamine in acidic medium to give a pinkish-red colored azo dye which has maximum absorption at 503 nm. Beer ' s law is obeyed in the concentration range of 20-500 µg of metronidazole in a final volume of 25 ml, i.e., 0.8-20 ppm, with a molar absorptivity of 4.673×10 3 l.mol -1 . cm -1 and Sandell's sensitivity index of 0.0366 µg. cm -2 , a relative error of – 1.73 to +1.58% and relative standard deviation of ±0.47to ±1.32 %, depending on the concentration level. The method has been applied successfully to the determination of metronidazole in pharmaceutical preparations.
Usage of Neural-Based Predictive Modeling and IIoT in Wind Energy Applications

The adoption of wind energy has grown significantly in recent years. New, cost-effective technologies have been developed, led by customer awareness of green technologies and a legal framework proposed at the European Union level. The stochastic nature of wind speed is transferred to wind turbine output, making wind energy difficult to predict. The main scope of predicting wind energy production is to be proactive in balancing and reserving energy to meet demand. When the prediction identifies a potential gap between supply and demand, additional energy from other sources must be generated and supplied. Creating a synergy of physical devices through advanced sensing capabilities, software, storage and analytics capabilities, the Industrial Internet of Things is enabling the effective transition to wind energy through automation by removing many of the disadvantages in a way that has recently become accessible. This research focuses on the data analytics, proposing a fast univariate network-based approach for wind energy prediction, using Feed Forward Neural Networks, Recurrent Neural Networks, Long-Short Term Memory, Gated Recurrent Unit, and Convolutional Neural Networks. Moreover, by introducing the theoretical fundamentals, the implementation method and the hyperparameters of the final models, this article becomes unique in the context of wind energy. At the time of this study, no prior research studies have presented a direct comparison between feedforward, recurrent, and convolutional neural networks ? these being the most important in the field of supervised learning.
Do Labour Migrants Bring Well-Being to the Households? Revisit the Pathway from Neoclassical to Pluralism

Aim of this review is to review literature on the impact of international labour migration and remittances on household well-being and present a theoretical and a conceptual framework to facilitate empirical studies. Study found that, migration literature comprises diversified views which has been changed in different era with the changing socio-economic contexts of emigrating and immigrating countries. Present view, which is highly dominated by pluralists, provides theoretical foundation to link migration and remittances to household well-being. Theoretical and conceptual frameworks developed in this review provides a strong foundation for empirical analysis.
Nanovectorisation de la curcumine sous forme liposomale : interactions biomolécule / membrane, transferts et cytotoxicité dans des systèmes in vitro

La curcumine est un polyphenol de couleur jaune extrait du rhizome de la plante (Curcuma longa). Identifie comme un principe actif du curcuma, cette epice est largement consommee compte tenu de ses proprietes antioxydantes, antimicrobiennes et antitumorales. Cependant, sa solubilite et sa biodisponibilite restent limitees en raison de son hydrophobicite et diminuent de ce fait les applications potentielles dans les domaines nutraceutique et pharmaceutique. L’objectif de ce travail s’est focalise sur l’etude des proprietes physico-chimiques de cette molecule vectorisee sous forme liposomale. Differentes formulations de nanovecteurs preparees a partir de lipides polaires plus ou moins riches en acides gras polyinsatures a longue chaine variables, issus de source marine ou vegetale, ont ete utilisees pour modifier la fluidite membranaire des vecteurs. Ces travaux ont permis d’optimiser le pourcentage d’encapsulation de cette biomolecule et d’etudier les effets de cytotoxicite et de sa biodisponibilite sur differentes lignees cellulaires (MCF7, cellules embryonnaires de neurones corticaux). Les resultats montrent des effets significatifs lors de l’utilisation de nanoliposomes formules avec de la lecithine marine, proteges par un enrobage de polymere de chitosane. Les analyses physicochimiques de taille par diffraction de la lumiere (zetasizer, nanosight), de stabilite (mesure de la taille et la mobilite electrophoretique), de structure par microscopie electronique en transmission et la liberation de la molecule vectorisee, ont permis de mieux comprendre les effets des interactions polymere-phospholipides et le relargage de la curcumine encapsulee dans les conditions environnementales drastiques de digestion gastrique et intestinale. Une caracterisation multi-echelle est proposee afin d’ameliorer la comprehension des differentes proprietes du nanovecteur et du principe actif qu’il vectorise, ainsi que les interactions possibles entre eux. Les techniques utilisees sont la spectroscopie infrarouge a transformee de Fourier (FTIR), les rayons X, ainsi que la microscopie electronique en transmission
Theoretical Analysis of In-Band Full-Duplex Radios With Parallel Hammerstein Self-Interference Cancellers

In-band full-duplex (IBFD) communication systems utilize self-interference cancellation to mitigate high-power self-interference caused by simultaneous transmission and reception at the same frequency in the digital baseband domain. Self-interference is distorted by transceiver nonlinearity. Thus, the IBFD literature includes reports of nonlinear self-interference cancellers developed to achieve better cancellation performance. However, there are no detailed theoretical studies analyzing the performance of nonlinear cancellers in IBFD systems. In this work, we develop a theoretical analysis technique for IBFD systems using parallel Hammerstein self-interference cancellers. The nonlinear characteristics of the system are expanded by a generalized Fourier series using orthonormal Laguerre polynomials. Then, the canceller’s performance and the system’s symbol error rate (SER) are analyzed using the obtained Fourier coefficients. The analytical results are compared with simulation results, demonstrating good correlation in a wide range of situations, from extremely nonlinear cases to good linear cases. Additionally, we show that the SER of the IBFD system is reduced by moderately nonlinearizing rather than linearizing the amplifier.
An Analysis of Code Mixing of an Australian Youtuber “Dave Jephcott” in His Instagram “Londo Kampung”

Article History: Received 4 February 2021 Approved 11 April 2021 Published 23 April 2021 Code mixing is a phenomenon in the form of the use of elements from a particular language in one sentence or another language discourse. The objective of this research is to find out the type of code-mixing uttered by an Australian YouTuber in his Instagram “Londo Kampung”. By using a descriptive qualitative method, it is found that the mixing of various linguistic units in the grammatical system within a sentence. There are some types of insertion of code-mixing, such as in elements of word, phrase, clause, hybrid, and repetition. From 182 code mixing found in Instagram captions, Insertion of the word shows 114 data or 62.64% which consist word class of noun and adjective. In insertion of hybrid shows 36 data (19.78 %), such as in insertion suffix both in Indonesian and Javanese, also prefix both in Indonesian and Javanese. In phrase shows 14 data (7.69 %) which consist of the noun phrase and adjective phrases. In insertion of the clause shows 12 data (6.59 %), and in repetition shows 6 data (3.33 %) which consist independent clause. The most dominant type insertion of code-mixing is in the element of words. Code mixing here occurs when the speaker (Dave Jephcott) inserts an element of a foreign language (English) in an utterance when he mostly communicates in written in his first language (Javanese and Indonesian).
Separation of free fatty acids from high free fatty acid crude palm oil using short-path distillation

The separation of free fatty acids (FFAs) was done by using short-path distillation (SPD). The separation parameters was at their boiling points, a feed amount of 2.3 mL/min, an operating pressure of 10 Torr, a condenser temperature of 60°C, and a rotor speed of 300 rpm. The physicochemical characteristics of oil before and after SPD were determined. The results showed that FFA % of 8.7 ± 0.3 and 0.9 ± 0.1 %, iodine value of 53.1 ± 0.4 and 52.7 ± 0.5 g I2/100 g, hydroxyl value of 32.5 ± 0.6 and 13.9 ± 1.1 mg KOH/g, unsaponifiable value of 0.31 ± 0.01 and 0.20 ± 0.15%, moisture content of 0.31 ± 0.01 and 0.24 ± 0.01 % for high free fatty acid crude palm oil before and after distillation, respectively. Gas chromatography (GC) results showed that the major fatty acids in crude palm oil (CPO) were palmitic acid (44.4% - 45%) followed by oleic acid (39.6% - 39.8%). In general, high free fatty acid crude palm oil after molecular distillation (HFFA-CPOAM) showed admirably physicochemical properties.
Improved electrochemical performance of a cyclic ultracapacitor using slurry electrodes under various flow conditions

A cyclic ultracapacitor is a promising energy storage device that can be used for grid energy storage. The cyclic ultracapacitor combines the advantages of both ultracapacitors and flow batteries, enabling rapid charging and large‐scale energy use. To improve the electrochemical performance under the flow condition, it is necessary to find a more electrical active material and design a flow cell that minimizes the resistance. In this study, we investigate the effects of changing the ratio of the active material in a slurry electrode under various operating conditions. Slurry electrodes were prepared with different ratios of active material and conductive additive but with a fixed electrolyte amount. Voltage–time curves of both a single and a stack‐flow cell in the constant‐current mode were obtained to analyze the relationship between the active materials ratio and the cell performance. Having more adsorption sites according to the active material amount is more important than increasing the electric conductivity by the conductive additive amount with regard to cell performance capabilities in a low resistance condition such as a non‐flow mode. However, higher electrical conductivity on a slurry electrode is more beneficial to improve the electrochemical performance in the stack‐flow mode, which has harsh resistance levels. Copyright © 2017 John Wiley & Sons, Ltd.
Synthesis and Characterization of Nanoamendment for Effective Remediation of Soil Acidity

Summary Industrialization and climate change had increased soil acidity which deteriorated the soil health and reduced crop productivity through release of toxic concentration hydrogen and aluminium, manganese and iron. Acid soils (pH < 5.5) are extensively found in region of high rainfall, temperature and hilly region. Liming of acid soils the changes (pH 5.5 to 6.5), rectifies adverse effects and also improves the soil fertility. But large quantity of lime used (7.2 tons per acre). In order to optimize the rate of lime nano technological approach was used. Naturally available micro-size conventional calcium carbonate particles were used for synthesis of nano crystals through physical method of top down approach, using high energy ball milling (HEBM) with different hours and encapsulated with non-ionic surfactant (1% chitosan). It produced uniform nano sized particles (nano-lime), which were characterised using particle size analyser (approximately 115 – 120 nm), zeta potential (-50 mV), powder X-ray diffraction (d spacing 3.13). It confirmed that presence of Ca and Mg with Raman Shifts (713, 1086 cm -1 ) and Fourier transform infrared spectroscopy (844.7 cm -1 ). Shape and structure was observed through scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Synthesized of calcium carbonate nano crystalline particles were environment friendly. Reduced particle size and increased surface area where offered an opportunity for reclamation of soil acidity as an amendment and can be scaled up for agricultural production.
Antecedents and consequences of online buying behavior: a mediation study

PurposeThe study is aimed to identify the determinants of online buying behavior and their associations with the consequences of online buying behavior. The study adopted an e-loyalty framework and investigated causal links among functionality, usability, trust, commitment and loyalty. In addition, the study also attempted to investigate the mediating role of trust and commitment between online buying determinants and online purchasing outcomes. The demographic variables of age, gender and income are used as control variables.Design/methodology/approachAn online questionnaire survey was conducted on Internet users by adopting purposive sampling technique. Confirmatory factor analysis (CFA) was employed for measurement development, SEM was used for testing causal links, and percentile bootstrap with 95% confidence interval was used for mediation analysis.FindingsSignificant positive relationships were found among functionality, usability, trust, commitment and loyalty. Trust was found to fully mediate the effect of functionality and usability on loyalty. It was also found that commitment fully mediates the effect of functionality on loyalty.Research limitations/implicationsHowever, caution is advised while generalizing results of this study. The study was conducted on online retailing only. The authors recommend future studies to extend the research in other e-commerce sectors and also to perform a comparative study between online and offline retailing.Practical implicationsThis study provides some practical implications to website developers in designing a web page that caters the functionality and usability aspects in understanding e-loyalty formation process so that appropriate marketing strategies and tactics can be established to accommodate customized loyalty of each customer.Originality/valueThe study demonstrates the customer loyalty formation process in online retailing. Scanty literature has witnessed mediating role of trust and commitment in the relationships among functionality, usability and loyalty along with age, gender and monthly family income as controls in Indian sub-continent.
Isolated Arabic handwritten words recognition using EHD and HOG methods

Handwriting recognition is a growing field of study in computer vision, artificial intelligence and pattern recognition technology aimed to recognizing texts and handwritings of hefty amount of produced official documents and paper works by institutes or governments. Using computer to distinguish and make these documents accessible and approachable is the goal of these efforts. Moreover, recognition of text has accomplished practically a major progress in many domains such as security sector and e-government structure and more. A system for recognition text’s handwriting was presented here relied on edge histogram descriptor (EHD), histogram of orientated gradients (HOG) features extraction and support vector machine (SVM) as a classifier is proposed in this paper. HOG and EHD give an optimal features of the Arabic hand-written text by extracting the directional properties of the text. Besides that, SVM is a most common machine learning classifier that obtaining an essential classification results within various kernel functions. The experimental evaluation is carried out for Arabic handwritten images from IESK-ArDB database using HOG, EHD features and proposed work provides 85% recognition rate.
HIGH THROUGHPUT LC-MS/MS METHOD FOR THE QUANTITATION OF DIDANOSINE IN HUMAN PLASMA BY SOLID PHASE EXTRACTION USING 96 WELL PLATE FORMAT

High-throughput Liquid chromatography–mass spectrometry method has been developed and validated for the quantification of Didanosine in human plasma using Zidovudine as an internal standard (ISTD). Following solid phase extraction (SPE) in 96 well plate format, the analyte and ISTD were run on Inertsil ODS-3, 4.6 X 100 mm, 5 μm column using an isocratic mobile phase consisting of 10mM Ammonium formate buffer (pH 6.4 ± 0.5): Methanol 10:90 v/v. The precursor and product ions of the drugs were monitored on a triple quadrupole instrument operated in the positive ionization mode. The method was validated over a concentration range of 1.01 to 2002.18 ng/mL with relative recoveries ranging from 92.4 to 96.4%. The inter batch precision (%CV) across three validation runs was ≤ 8.9%. The Inter batch percent relative errors (%RE) determined at four QC levels (LLOQ, LQC, MQC and HQC) was between -7.7 to 4.9%. According to the validated results, the proposed method was found to be specific, accurate, precise and high throughput method and could be used for the estimation of Didanosine in human plasma and can be applied for the routine analysis.
ANTIDIABETIC EFFECT OF HOLARRHENA ANTIDYSENTERICA SEEDS ON STREPTOZOTOCIN INDUCED DIABETIC RATS.

Summary This study was undertaken to evaluate the antidiabetic effect of Petroleum ether (PEHAD) and aqueous (AEHAD) extracts of Holarrhena antidysenterica seeds in normal (Normoglycemic) and in streptozotocin (STZ) induced diabetic rats. On chronic treatment, both petroleum and aqueous extract has showed significant decrease in blood glucose level (BGL), serum cholesterol, triglyceride levels and at the same time markedly increased liver glycogen, thus proving the potentiating property of Holarrhena antidysenteric as antidiabetic drug.
Effects of coherence on speaker preference and rule-following

Rule-following is affected by multiple variables. A relevant aspect of rules regards whether they “make sense”, that is, the extent to which the instruction coheres with previously reinforced patterns of relational responding. The present study aimed to evaluate the influence of relational coherence upon rule-following. After mastering a particular set of conditional relations (e.g., A1B1, A2B2), the participants were exposed to two speakers, one of which would “state” relations that cohered (e.g., A1B1, A2B2) with the participant’s previous relational training and the other that would present relations that were incoherent (e.g., A1B2, A2B1). Then, rule-following was measured in a preference test in which the participant would have to choose which of the two speakers would provide instructions in each test trial. Results show that the participants preferred the coherent speaker to provide instructions and followed the rules presented by that speaker throughout the test. Coherence is discussed as a critical aspect of rule following and preference for particular narratives.
Video topic detection on Micro-Blog using Relational Topic Model

To enhance the performance of the personalized tag recommendation method, a microblog video topic discovery algorithm based on common knowledge atlas analysis was proposed. Firstly, graphical form was used for expressing latent local expression in the microblog video topic and top-k similar user discovery of users represented by user topic distribution. Then, the frequency of all the tags occurring in these users was calculated and the tags most relevant with users were recommended. Next, to mine potential topic information, enhanced cosine similarity RTM model with penalty term was used for naming the tag of topic for microblog video, which enhanced the impact of united modeling on tag generation for potential topic and might discover the relationship between global tab and topic. At last, the real experiment result showed that the recommended method was superior to typical tag recommendation algorithms of several selected microblog video topics. Meanwhile, the validity of the algorithm was verified.