Miracle-dz/UniFAR-FTUs huggingface dataset:
Indian Cinema: A Bridge of Identity for Indian Diaspora with Special Reference to Bollywood Movie Pardes

Films have always been a common source of education, entertainment, and information across the world. Here Beard states “films are among the most common artifacts of modern popular culture that generate and reflect diverse cultures and the traditional values of a society. Consequently films have become a major part of modern society, through which people are becoming aware of different cultures from all over the world”. The paper aims to study the cultural studies and seeks to explore the role of Bollywood movies especially with special reference to movie Pardes (1997), directed by Subash Ghai. These kinds of movies played an important role in identity construction of Indian diaspora across the world. Diaspora may use media products as a form of cultural maintenance for their roots. The interesting fact is that though sociological factors such as friends, family and peer groups always play an important role in making the Indian identity. Bollywood movies not only act as a bridge between home, homeland and diaspora but they also help them to transmit the values, culture and traditions. All these together play a significant role in maintaining their ‘Indianness’, in Abroad.
Biofouling on Coated Carbon Steel in Cooling Water Cycles Using Brackish Seawater

Water cooling utilizing natural waters is typically used for cooling large industrial facilities such as power plants. The cooling water cycles are susceptible to biofouling and scaling, which may reduce heat transfer capacity and enhance corrosion. The performance of two fouling-release coatings combined with hypochlorite treatment were studied in a power plant utilizing brackish sea water from the Baltic Sea for cooling. The effect of hypochlorite as an antifouling biocide on material performance and species composition of microfouling formed on coated surfaces was studied during the summer and autumn. Microfouling on surfaces of the studied fouling-release coatings was intensive in the cooling water cycle during the warm summer months. As in most cases in a natural water environment the fouling consisted of both inorganic fouling and biofouling. Chlorination decreased the bacterial number on the surfaces by 10–1000 fold, but the efficacy depended on the coating. In addition to decreasing the bacterial number, the chlorination also changed the microbial species composition, forming the biofilm on the surfaces of two fouling-release coatings. TeknoTar coating was proven to be more efficient in combination with the hypochlorite treatment against microfouling under these experimental conditions.
Intention-Centric Learning via Dual Attention for Sequential Recommendation

In sequential recommendation, it is critical to accurately capture the user’s intention with limited session information. Previous work concentrates on modeling a single relationship existing between items in an ongoing session, e.g., sequential dependency or graph structures. They lack the exploration of constituent semantic properties of user intention and also lack effective mechanisms binding important features to deduce user intention accurately. In this paper, we present a novel intention detection-enhanced sequential recommendation model, named DASR, which can capture both sequential dependencies and user intent components. We innovatively introduce slot attention to bind the low-level local features extracted by CNN and design multiple rounds of competitive iteration mechanisms to refine the high-level representation of user intent continuously. Finally, these high-level features cooperate with the global dependencies captured by self-attention to achieve sequential recommendations. Extensive experiments are carried out on three benchmark datasets, the experimental results show that DASR outperforms the state-of-the-art baseline methods up to 6.91%, and 4.73% on Recall@20, and MRR@20, respectively.
A Systematic Overview on Academic Data Mining

- Presently, instructional institutions compile and store large volumes of knowledge, like student registration and group action records, similarly as their examination results. Mining such information yields stimulating data that serves its handlers well. Rapid climb in instructional information points to the very fact that distilling huge amounts of information needs a additional subtle set of algorithms. This issue junction rectifier to the emergence of the sector of instructional data processing, EDM, ancient data processing algorithms cannot be directly applied to instructional issues, as they will have a particular objective and performance. This suggests that a preprocessing formula has got to be enforced initial and solely then some specific data processing strategies may be applied to the issues. One such preprocessing formula in EDM is clump. Several studies on EDM have centered on the appliance of varied data processing algorithms to instructional attributes. Therefore, this gives systematic literature review on clump formula and its pertinence and usefulness within the context of EDM. Future insights are made public supported the literature reviewed, and avenues for more analysis are known.
El Hermanito: El Niño's overlooked little brother in the Atlantic

An oscillation with a period of about 30 months has been identified in the equatorial Atlantic by analyzing sea surface temperature (SST) observations for the period 1949-1991. The 30-month time scale was also found in numerical simulations with an atmospheric general circulation model (AGCM) that was forced by these SSTs and a coupled ocean atmosphere general circulation model (CGCM). Consistent with the theory of tropical air-sea interactions, the Atlantic oscillation (El Hermanito) is an inherently coupled air-sea mode and can be viewed as the Atlantic analogon of the El Nino/Southern Oscillation (ENSO) phenomenon in the equatorial Pacific. El Hermanito is an internal Atlantic mode and appears to be independent of the quasi-biennial (QB) variability observed in the tropical Indian and Pacific Oceans. The discovery of El Hermanito is important to the prediction of Atlantic climate anomalies. (orig.)
Processing of Porous-Core Materials for Bone Implant Applications: A Permeability and Mechanical Strength Analysis

This study presents a methodology to fabricate Ti6Al4V cylindrical compacts with a highly porous core and dense shell with the aim to mimic the bone microstructure. Compacts with different core diameters were obtained via conventional pressing and sintering. Large pores were created with the aid of pore formers. Dilatometry was used to determine the sintering kinetics, while X-ray computed tomography was used for characterization. Also, the permeability was evaluated on the 3D microstructure, and the mechanical strength was evaluated via compression tests. The results indicated that sintering was constrained by the different densification rates of the porous and dense layers. However, defect-free compacts were obtained due to neck bonding between the Ti6Al4V particles. Large pores were located in the designed core with a similar pore size distribution. The permeability increased following a power law as a function of the pore volume fraction. The porous core drove the stiffness of the bilayer components, while the combination of both layers increased their strength. The bilayer materials showed permeability (1.36 × 10−10 m2), mechanical properties (E = 6.83 GPa and σy = 299 MPa), and admissible strain (σy/E = 43 × 10−3) similar to those of human bones.
Slip history of the 2016 Mw 7.0 Kumamoto earthquake: Intraplate rupture in complex tectonic environment

Rupture history of the 2016 Mw 7.0 Kumamoto earthquake is constrained by using the waveforms of strong motion observations, teleseismic broadband body waves, and long‐period surface waves. Its fault geometry is modeled with Hinagu (orienting 205° and dipping 73°) and Futagawa (orienting 235° and dipping 60°), two segments. The result reconciles the difference between moment tensor solutions and the surface fault trace. It reveals a complex rupture process that initiated on the Hinagu segment in dextral motion, propagated northeastward unilaterally, and after 15 s ceased near Aso volcano with normal fault motion. The average slip, rise time, and slip rate are 1.8 m, 2.0 s, and 1.2 m/s, respectively. The rupture broke through an ~30° fault intersection without notable delay, which can be a result of dynamic “unclamping. ” The northeast boundary of the largest asperity might mark the bottom of the seismogenic zone, which becomes shallower gradually near Aso volcano.
Simultaneous Determination of the Five Marker Compounds in Melandrium firmum using High-Performance Liquid Chromatography with Photodiode-Array Detection

In Korean folk medicine, Melandrium firmum Rohrbach (Caryophyllaceae) has been used to treat various diseases, including anuria, breast cancer, and gonorrhea. In this study, a high-performance liquid chromatography method with photodiode-array UV detection (HPLC-PDA) was established and then validated for the simultaneous determination of five flavonoids in M. firmum: schaftoside, homoorientin, cytisoside, vitexin, and isovitexin. Separation of the five compounds was performed on a Gemini C18 column at 40°C by gradient elution of two mobile phases. The flow rate and injection volume were 1.0 mL/min and 10 μL, respectively. The HPLC-PDA method showed excellent linear regression with r2 values of 0.9999 within the test ranges. The limits of detection and quantification of all components were 0.01–0.11 and 0.04–0.34 μg/mL, respectively. The extraction recovery of the five analytes was 97.6—105.6% and the RSD values were < 2.0% The relative standard deviation values of intra- and interday precision for all analytes were < 1.71 and < 1.46%, respectively. As determined using the established and validated HPLC-PDA method described here, the amounts of the five marker compounds in M firmum were 0.02–2.54 mg/g.
A data fusion and spatial data analysis approach for the estimation of wheat grain nitrogen uptake from satellite data

ABSTRACT The selection of the optimal band combination for the estimation of specific crop variables is a key aspect in order to obtain reliable estimation of in-field variability from multi- and hyperspectral remote-sensing data. The selection of the bands is strongly influenced by the phenological stage of the crop at the acquisition time. In this work, the influence of the growing stage on the combination of spectral bands related to grain nitrogen (N) uptake in wheat was evaluated using multispectral (Satellite Pour l’Observation de la Terre – SPOT) and hyperspectral (Compact High Resolution Imaging Spectrometer – CHRIS-PROBA) satellite images at different growth stages over two wheat growth seasons in central Italy. In order to identify the more appropriate covariates (spectral bands) for each phenological stage, stepwise regression with backward selection was combined with stepwise variance inflation factors (VIFs) analysis and linear mixed effect model (LMEM). The results obtained in this study suggest that the spectral region most related to N uptake varies over the growing season of the wheat crop. For SPOT data, near-infrared (NIR) region was selected at all the phenological stages in both growing seasons, except for the latest stage, with low chlorophyll content due to the onset of senescence, in which the red band was selected. At stem elongation, the shortwave infrared (SWIR) band of SPOT data was also selected. At this stage, the best N estimation accuracy was obtained using an LMEM (root mean square error, RMSE = 0.012 t ha−1). The inclusion of a spatial component in the estimation model by means of LMEMs provided a more accurate estimation than ordinary least square (OLS) models at all growth stages. The test carried out with CHRIS-PROBA data at the fourth stage confirmed the importance of NIR and in particular of the red-edge region for N uptake prediction. A novel methodology is proposed, which involves two crucial aspects in the context of the use of remote-sensing data in precision agriculture: i) the standardization of the spatial resolution for in-field and satellite data by a geostatistical data technique (data fusion); and ii) the selection of the most appropriate spectral bands for each phenological stage, taking into account both correlation with the target variable and collinearity.
Investigation of the South African Economy Performance: A Pre, During and Post Covid-19 Era Assessment

The COVID-19 brought disruptions and decline in the economic performance of many countries most especially countries that are less resilient to economic disruptions. Thus, the purpose of this study is to investigate the economic performance of South Africa before, during and after the COVID-19 periods. To measure the economic performance of the South Africa during these periods, secondary data was employed and grouped as follows: national income and prices, labour market, Savings and investment, fiscal position, money and credit, and balance of payments. The descriptive analysis, correlation analysis as well as Wilcoxon signed-rank test were carried out on the dataset using the Statistical Package for Social Science (SPSS) 2022 version. The results obtained indicated some improvements in certain economic indicators such as gross national savings, Gross Domestic Product (GDP), export and import growth as well as gross reserves during the COVID and post COVID periods. Nevertheless, the country witnessed a decline in performance of some economic indicators such as employment rate, public investment, public savings, unit labour rate, gross government debt, annual consumer price inflator, broad money, credit to private sector, current account balance and terms of trade for all the periods. The results further indicate a gradual improvement in the areas of private investment, revenue, expenditure and lending, overall, primary and structural balances after the COVID-19 era. The findings obtained in this study may assist the government, public and private sectors to make informed decisions to promote South Africa’s economic development and resilience.
Applications of variational mode decomposition in seismic time-frequency analysis

ABSTRACTWe have introduced a novel time-frequency decomposition approach for analyzing seismic data. This method is inspired by the newly developed variational mode decomposition (VMD). The principle of VMD is to look for an ensemble of modes with their respective center frequencies, such that the modes collectively reproduce the input signal and each mode is smooth after demodulation into baseband. The advantage of VMD is that there is no residual noise in the modes and it can further decrease redundant modes compared with the complete ensemble empirical mode decomposition (CEEMD) and improved CEEMD (ICEEMD). Moreover, VMD is an adaptive signal decomposition technique, which can nonrecursively decompose a multicomponent signal into several quasi-orthogonal intrinsic mode functions. This new tool, in contrast to empirical mode decomposition (EMD) and its variations, such as EEMD, CEEMD, and ICEEMD, is based on a solid mathematical foundation and can obtain a time-frequency representation that is less sens.
Analysis Of Bioactive Compounds in Ethanolic Extract of Xylopia Aethiopica Leaves Using Gas Chromatography and Mass Spectrometry (Gc-Ms) Technique

This study investigated the bioactive compounds in ethanolic extract of Xylopia aethiopica leaves using gas chromatography and mass spectrometry (GC-MS) technique. The phytoconstituents present in Xylopia aethiopica leaves were: flavonoids (951.82 mg/g), tannins (282.70 mg/g), alkaloids (188.47 mg/g), phenols (603.25 mg/g), saponins (11.47 mg/g), steroids (91.20 mg/g), oxalates (190.32 mg/g) and glycosides (190.32 mg/g). A total number of 30 bioactive compounds were identified based on their peak areas. The major compounds greater than 1 % were; 13-docosenamide (21.09 %), terpineol (10.07 %), 1,6-cyclodecadiene (9.37 %), copaene (2.88 %), caryophyllene (8.15 %), β-ocimene (6.05 %), β-myrcene (5.09 %), copaene (2.38 %), 2 – methoxy-4-vinylphenol (1.72 %), β-elemenone (1.31 %), 3,4-dimethylphenyl heptyl ether (1.26 %), ethyl oleate (1.07 %) and γ-elemene (1.27 %) while those less than 1 % (˂ 1 %) were; 2- methylenebornane (0.66 %), 2-methoxy-2-prophenyl (0.72 %), hexadec-7-enal (0.23 %), hexadecanoic acid (0.02 %), didodecyl benzene 1,2 dicarboxylate (0.09 %), methyl stearate (0.16 %), 9,12-octadecadienoic acid (0.08 %), hexadeca-7,10 – dienal (0.47 %), 1,1,5 –trimethyl -1,2-dihydronaphthalene (0.01 %), propane, 1,1 – oxybis -3- chloro (0.08 %), 1-trimethylsilypent-1-en-4-yne (0.03 %), bicyclo[13.1. 0] hexade can-2-one (0.02 %), methyl octadeca-9-yn-11-trans-enoate (0.51 %), cis-linaloxide (0.22 %), tetradecanoic acid, 10,13 –dimethyl ester (0.18 %), didodecyl benzene 1,2 –dicarboxylate (0.47 %) and 2-cyclopentene -1-one, 2 – hyroxy (0.09 %). However, all the compounds have a wide range of pharmacological activities including- antimicrobial, antioxidant, anti-malarial, antifungal, anti-arrhythmic, anti-viral, hepato-protective, anti-proliferative, anti-depressant, antipyretic and antihelminthic.
Politeness Strategies Used by Japanese and Indonesian Speakers on Social Media

This study compares the politeness strategies used by Japanese and Indonesian speakers in communication on social media, based on Brown and Levinson's (1987) politeness theory. To investigate the utilization of politeness strategies in social media interactions, we gathered 200 comments on several contents by public figures on Twitter and Instagram posted in December 2022. The dataset comprises 100 comments from Japanese users derived from posts made by accounts like @yousuck2020, @kishida230, @watanabenaomi703, and @yuriko.koike. The other 100 comments were collected from Indonesian users, originating from accounts such as @fiersabesari, @jokowi, @raffinagita1717, and @ridwankamil. The research findings show a similarity between Japanese and Indonesian speakers, with positive politeness strategy being the most frequently used politeness strategy in social media interactions. This is because there is a common desire to maintain good relationships in communication on social media. On the other hand, differences were observed in the utilization of negative politeness and off-record strategies. The research results reveal that the frequency of negative politeness strategies used by Japanese speakers was slightly higher than that used by Indonesian speakers. In comparison, the frequency of the off-record strategy was lower.
Lie Symmetry Analysis for the Fractal Bond-Pricing Model of Mathematical Finance

The classical bond-pricing models, as important financial tools, show strong vitality in bond pricing. However, these models also expose their theoretical defects, which leads to inconsistencies with the actual observation results and usually causes the theoretical prices of bonds to be lower than the actual market prices in the financial market. In order to change this situation, considering that the price change of the underlying is regarded as a fractal transmission system, the fractal derivative is introduced into the bond-pricing equation. In order to solve the fractal bond-pricing equation, we first convert it into an equivalent equation by using a fractal two-scale transform. Only in this case can we start to study it by means of the Lie symmetry analysis method. Then the geometric vector fields, the symmetry reductions, and the exact solution to the equations are obtained. Furthermore, the dynamic behaviors of the fractal bond-pricing equation are discussed. The results show that the fractal dimension bond-pricing formula can better explain price changes in the capital market than the classical one. That is to say, the classical bond-pricing equation is only a special case of the fractal-bond pricing equation, which makes up for the defect that the theoretical bond price given by the classical bond-pricing equation is often lower than the actual market price. The results of this paper provide a basis for bond pricing in the financial market in order to seek a more appropriate and real price.
Advancing Carvedilol's Therapeutic Impact: A Study On Solid Dispersion Capsules for Improved Efficacy

This study aimed primarily to improve and evaluate the dissolution rate of Carvedilol by employing a solid dispersiontechnique with β-Cyclodextrin as the carrier. Three distinct methods were utilized to create Carvedilol-containing soliddispersions: The Kneading method, Physical mixture, and Solvent evaporation method. These methods incorporated β-Cyclodextrin at varying drug-carrier ratios (1:1, 1:2, and 1:3). The initial phase encompassed pre-formulation assessments, includingthe establishment of a calibration curve, determination of lambda maximum, melting point determination, investigation of solubilityin different solvents, and evaluation of Carvedilol-polymer compatibility through FTIR analysis. Subsequent post-formulationanalyses included tests for weight variation, Carvedilol content, lock length, moisture permeation, disintegration time, in-vitrodissolution, and stability. The results of the pre-formulation tests were consistent with established references. FTIR analysisrevealed no interactions between the Carvedilol and the carrier. Carvedilol content, weight variation, and disintegration time testsmet the permissible limits outlined in IP standards. Both lock length and moisture permeation tests conformed to the criteria.However, due to Carvedilol's limited solubility, dissolution was inadequate. Among the in-vitro dissolution profiles, the "KN3"formulation, prepared using the Kneading method with a 1:3 ratio of Carvedilol to Carrier, employing β-Cyclodextrin as thecarrier, exhibited superior discharge at 94.671%, outperforming other preparation methods.
The Relationship Between Attachment Style and Aggression in Young School-Aged Children with Intellectual Disabilities

Attachment, which forms during childhood, specifically from the first year of life, is manifested as an emotional bond between the child and the primary attachment figure. It becomes a predictive factor for action mechanisms in emotionally charged situations. The purpose of this research was to investigate the relationship between the type of attachment and aggressiveness in young school-aged children with intellectual disabilities. We were interested in determining the extent to which the dominant attachment type influences the onset of behavioral disorders and aggressive reactions. The results obtained in the research process demonstrated the extent to which the dominant attachment type influences aggressive manifestations in children with intellectual disabilities.