Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Evaluation of Analytics Models for Trends Analysis of News

Microblogging services, especially Twitter, allow the user to share their most recent thoughts, feelings or news freely and almost immediately. Hence, the number of news tweets generated by the news media is increasing exponentially. Mining the valuable data from the large volume of tweets can help increase the revenue of organisations by allowing them to engage with the public faster and better by responding to the latest topics of interest. In this work, mining the hot keywords and being able in classifying the news tweets, trending topic and keywords in the news tweets. Both supervised and unsupervised machine learning models are used. Several machine learning algorithms are being used to compare the accuracy in classifying the tweets.
Consensus One-Step Multi-View Subspace Clustering

Multi-view clustering has attracted increasing attention in multimedia, machine learning and data mining communities. As one kind of the essential multi-view clustering algorithm, multi-view subspace clustering (MVSC) becomes more and more popular due to its strong ability to reveal the intrinsic low dimensional clustering structure hidden across views. Despite superior clustering performance in various applications, we observe that existing MVSC methods directly fuse multi-view information in the similarity level by merging noisy affinity matrices; and isolate the processes of affinity learning, multi-view information fusion and clustering. Both factors may cause insufficient utilization of multi-view information, leading to unsatisfying clustering performance. This paper proposes a novel consensus one-step multi-view subspace clustering (COMVSC) method to address these issues. Instead of directly fusing multiple affinity matrices, COMVSC optimally integrates discriminative partition-level information, which is helpful to eliminate noise among data. Moreover, the affinity matrices, consensus representation and final clustering labels matrix are learned simultaneously in a unified framework. By doing so, the three steps can negotiate with each other to best serve the clustering task, leading to improved performance. Accordingly, we propose an iterative algorithm to solve the resulting optimization problem. Extensive experiment results on benchmark datasets demonstrate the superiority of our method against other state-of-the-art approaches.
The use of refusal strategies in interlanguage speech act performance of Korean and Norwegian users of English

The present paper describes a contrastive study of interlanguage refusal strategies employed by Korean and Norwegian learners of English as an additional language. The data were collected from multilingual first-year students at an American university in South Korea and in an English-medium program at a Norwegian university by means of an online open discourse completion task and analyzed using the coding categories based on Beebe, Takahashi, and Uliss-Welts (1990), and Salazar Campillo, Safont-Jordà, and Codina Espurz (2009). The data were analyzed to compare the average frequencies of refusal strategies used by the two groups, and the types of direct, indirect, and adjunct strategies that they employed. Independent samples t-tests revealed significant differences in the use of direct and indirect strategies with small effect sizes. The differences in the use of adjunct strategies were not statistically significant, and the effect sizes were negligible. Descriptive statistics of the differences in the types of direct, indirect, and adjunct strategies also revealed interesting patterns. The findings suggest that multilinguals’ pragmatic Anna Krulatz, Tülay Dixon 752 performance is a complex phenomenon that cannot be explained by the differences in cultural and pragmatic norms of their first language alone.
ANALYITCAL METHOD DEVELOPMENT AND VALIDATION OF A REVERSED-PHASE HIGHPERFORMANCE LIQUID CHROMATOGRAPHY FOR THE DETERMINATION OF MODAFINIL IN BULK AND PHARMACEUTICAL DOSAGE FORMS

Objective: To development and validation of a reversed-phase high-performance liquid chromatography (RP-HPLC) for the determination of modafinil in bulk and pharmaceutical dosage forms. Methods: A simple, precise, rapid, and accurate RP-HPLC method was developed for the estimation of modafinil in bulk and pharmaceutical dosage forms. Xterra RP 18 (250 mm × 4.6 mm, 5 μ particle size) with a mobile phase consisting of methanol:water 70:30 V/V was used. The flow rate 1.0 ml/min and the effluents were monitored at 260 nm. The retention time and recovery time was 12 minutes. The detector response was linear in the concentration of 10-50 μg/ml. The respective linear regression equation being Y=452.1x+65237. The limit of detection and limit of quantification were 4.547 and 1.377 mcg, respectively. The method was validated by determining its accuracy, precision, and system suitability. Result: The objective of the present work is to develop simple, precise, and reliable HPLC method for the analysis of modafinil in bulk and pharmaceutical dosage forms. This is achieved using the most commonly employed Xterra RP 18 (250 mm × 4.6 mm, 5 μ particle size) column detection at 260 nm. The present method was validated according to ICH guidelines. Conclusion: In this study, a simple, fast and reliable HPLC method was developed and validated for the determination of modafinil in pharmaceutical formulations. Keywords: Modafinil, Reversed-phase high-performance liquid chromatography, Estimation, ICH guidelines, Tablets.
Sustainability in Italian Ceramic Tile Production: Evaluation of the Environmental Impact

Sustainable development has recently become the driving force of all the policies leading environmental, economic, and social aspects of our life. In the construction sector, a large number of technological innovations has been introduced thus leading to an assessment of the environmental impact of the production processes. In the present study, the environmental impact of the Italian ceramic tiles production is analyzed and discussed. The evolution trends of the main atmospheric pollutants and the management of water and solid wastes of ceramic tile plants have been investigated over a period greater than 10 years, considering three different layouts of production cycles. The current evaluation shows that the Italian ceramic tiles industry has considered the environmental assessment as a fundamental practice for its development since the late 1980s. The reported data prove the high level of excellence reached by the Italian ceramic tile production and demonstrate how attention to the environmental impact is a fundamental key for the ceramic tile sector.
Binary Logistic Regression Model for Assessing Factors Associated with Nutritional Status of Children Under Five Years among Chepang Community in Siddi, Chitwan, Nepal

Background: Chepang Community in Nepal has often been characterized as the poorest among Nepal’s poor, and has faced food insecurity at a household level each year. Health status of their children is poor compared to other community children and more so for the age group under the age of five years. Objective: To find the proportion of stunting, wasting and underweight, and to assess the most promising factors associated with the nutritional status of children under five years of Chepang community in Siddi, Chitwan, Nepal. Materials and Methods: A cross-sectional research design was used with 170 samples. To find the association of different factors with the nutritional status of children under 5 years of age (stunting, wasting and underweight, each) binary multiple logistic regression model was used and the goodness of fit of the model was assessed through Hosmer and Lemeshow test. Results: The overall proportion of children under five years of the Chepang community is 60.6%, 30.6% and 44.7% for underweight, stunting and wasting respectively. Among many factors, the mother’s illiteracy (OR: 5.30, 95 % CI: 1.37 to 21.57), external monthly family income (≤ NRs. 2000) (OR: 9.65, 95 % CI: 3.23 to 30.78) and food availability for six months from own land (OR: 4.17, 95 % CI: 1.90 to 17.98) have a significant association with underweight. Similarly, for stunting, female child (OR: 2.19, 95 % CI: 1.02 to 4.70), number of children (more than one) below 14 years at home (OR: 4.15, 95 % CI : 1.77 to 11.04) and external family income (≤ NRs. 2000) (OR: 4.42, 95% CI: 1.01 to 17.06) are significantly associated, and for wasting, a number of children (more than one) below 14 years at home (OR: 4.64, 95 % of CI: 1.71 to 12.60) and external family income (≤ NRs. 2000) (OR: 5.17, 95 % CI: 2.27 to 11.79) are significantly associated. Conclusion: Substantial numbers of children from Chepang community are having the problem of underweight, stunting and wasting. Different demographic and socio-economic variables have been found associated for odds of having low level of nutritional status of children.
Ion-Pairing Strength in Polyelectrolyte Complexes

Polyelectrolyte complexes, PECs, are spontaneously formed blends of polyelectrolytes bearing positive, Pol+, and negative, Pol–, repeat units. Many interesting PEC morphologies have been observed, ranging from dense precipitates to liquidlike coacervates to quasi-stable nanoparticles, depending on the identity of the polymers and the preparation conditions. While the number of polyelectrolytes available to synthesize these materials is large and increasing, the corresponding number of Pol+/Pol– combinations is vast. This work quantitatively compares the binding strengths between a selection of positive and negative polyelectrolytes by evaluating the extent to which ion pairs between them are broken by a common salt, KBr. Comparison of association constants or Gibbs free energies between different classes of ionic functionality reveals that more “hydrophilic” PECs are more weakly associated, small primary amines bind strongly, carboxylates bind weakly, and aromatic sulfonates interact more strongly than al.
Effect of Phosphorus and Sulphur on Chlorophyll, Nodulation, Soil Properties and Optimum Dose of Phosphorus and Sulphur for Clusterbean [Cyamopsis tetragonoloba (L.) Taub]

Clusterbean called as guar, is a draught tolerant annual legume crop. In India, clusterbean is grown for its green fodder and for the pods that are used as food and feed. Since it is a legume, it has soil enriching properties. The long deep tap root system enables the plant to grasp all the water available in the soil making it an ultimate drought resistant crop like other legumes and thus offer better scope for rainfed cropping and adds to the fertility of soil by fixing considerable amount of atmospheric nitrogen. Hence, Clusterbean is an excellent soil building crop with respect to available N.
Self-dispersible graphene quantum dots in ethylene glycol for direct absorption-based medium-temperature solar-thermal harvesting

Poor dispersion stability of carbon nanofluids is one of the key issues limiting their solar-thermal applications especially under medium-to-high temperatures. Herein, this work reported a facile way to prepare stably dispersed graphene quantum dot-ethylene glycol (GQD-EG) medium-temperature solar-thermal nanofluids. The hydroxyl-terminated GQDs were synthesized by a scalable hydrothermal approach. The obtained GQDs have a small particle size, narrow particle size distribution and are self-dispersible within EG fluids. The GQD-EG nanofluids maintained their uniform dispersion after continuous heating at 180 °C for 7 days. The hydrogen bonding between the hydroxyl group on the surface of GQDs and the EG molecules helped achieve homogenous dispersion of GQDs in the nanofluids, and the small particle size and low density of GQDs helped mitigate the sedimentation tendency. The dispersed GQD-EG nanofluids have demonstrated broadband absorption of sunlight, high specific heat capacity and low viscosity, which are all desired for high-performance direct absorption-based solar-thermal energy. The prepared GQD-EG nanofluids have exhibited consistent volumetric harvesting of solar-thermal energy under concentrated solar illumination with a heating temperature up to 170 °C.
Preparation and in-Vitro Evaluation of Mucoadhesive Clotrimazole Vaginal Hydrogel

Clotrimazole (CLO) is an antimycotic imidazole derivative applied locally for the treatment of vaginal yeast infections. In this study, CLO was formulated as vaginal mucoadhesive hydrogel, using different types of mucoadhesive polymers to ensure prolonged contact between active ingredient and vaginal mucosa. Physicochemical properties of the prepared formulas were evaluated as a visual inspection, pH, swelling index, spreadability, and mucoadhesive characteristics, in addition to an in-vitro drug release. The influence of type and concentration of polymers as CMC-Na (1.5, 2.5, and 3.5%w/w), carbopol 940( 0.25, 0.5, and 1 %w/w) and poloxamer 407 (15, 25, 30%w/w) on CLO release from the prepared gels were also investigated. All the different concentrations of each polymer gave a percent of drug release profile inversely proportional with the polymer concentration. The lowest concentration showed faster release within the first half an hour of 99Â± 2% of drug release , while CMC-Na at 3.5% (F2) demonstrated the least release of 40 % after three hours. On the other hand, poloxamer 407 of 25% gel (F7) produced the highest release of 98%, while carbopol 1% (F5) and CMC-Na (F1) produced 85% and 80% ,respectively. All the prepared formulas were following Higuchi kinetic model. Based on overall result, CLO can be formulated as mucoadhesive vaginal hydrogel using 25%poloxamer as the best prepared formula. Key words: Hydrogel, Clotrimazole, Mucoadhesive
Community-Based Tourism in Protected Areas: Elaborating A Model from A South African Perspective

Community-based ecotourism (CBET) shares many of the values and challenges of community-based tourism (CBT) but must also consider the interaction of local communities and the environment, often in areas of controlled or restricted use. Although CBT and CBET have been part of South Africa’s economic strategy, governance, and social structures and hierarchies may constrain opportunities for entry. This article reviews the relevant literature with specific reference to South African CBT and CBET enterprises and uses the iSimangaliso Wetland Park as a case study to build a general framework for CBT around conservation areas. In particular, the framework describes a pathway for CBET ventures to move from an internal partnership model to an external model and ultimately complete self-sufficiency and independence if desired. We show that despite numerous challenges, CBET can be viable in conservation areas, provided all parties involved in the venture make a concerted effort to ensure that the main objectives of poverty alleviation and improved environmental management are met.
On accuracy of predicting densities and solubility parameters of polymers using atomistic simulations

Abstract Molecular dynamics simulation is performed to compute densities and solubility parameters of polymers. TEAM force field is validated on monomers and then employed for predictions for polymers built with different chain lengths. The calculated densities converge when the polymer chain lengths are >10 repeat units. With the consideration of polymer crystallinity, the predictions agree well with experimental data. The solubility parameters calculated from the cohesive energy densities exhibit systematical and progressive underestimates as the chain lengths increase, indicating the energy contribution from polymer chain conformation changes from bulk state to solution must be included in order to calculate the solubility parameters correctly. A model using the radiuses of gyration to represent the conformation changes is proposed to correct the systematical error.
Feature Contour Construction Methods Based on Neural Network for Network Abnormal Behavior Detection

With the development of network application, how to detect the abnormal behaviors from network data messages gets to be a hotspot of network security management. This paper puts forward network abnormal behavior detection methods based on neural network. As a typical network abnormal behaviors, network intrusion has attacted much more attention in the past years. In order to detect network intrusion, the feasibility and effectiveness of neural network are investigated in detail. On the basis of neural network, two feature contour construction methods are presented to conduct the network intrusion detection. Experiment results indicate that the proposed methods can be used to detect the network abnormal behavior effectively. In the future, comparisons with other abnormal behavior detection methods will be scheduled.
A recommendation system based on an adaptive learning cognitive map model and its effects

ABSTRACT Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance to make a procedural reflection and self-directed adjustment. This study proposed an adaptive learning cognitive map model and developed an online learning system based on this model. The proposed system could represent learners’ knowledge structure and cognitive state that allow learning contents, learning activities, learning paths and learning partners to be adjusted continuously, thus providing learners with appropriate learning resources and initiative reflection opportunities during the whole learning procedure. This study conducted a contrast experiment to evaluate the effectiveness of the proposed system. Students in the experimental group received learning interventions according to their adaptive learning cognitive maps. The result demonstrated that the proposed system with the learning cognitive map improved students’ learning achievement, learning satisfied, user acceptance of information technology and learning interaction while did not reduce or increase cognitive load.
Research on Short-Term Forecast of Power Load Based on Adam-Gru

To forecast the short-term power load accurately and reliably, a short-term power load model based on gate recurrent unit was proposed. In order to improve the accuracy of the model, the Adam algorithm is used to calculate the GRU hyperparameter Optimization, so as to construct an Adam-GRU short-term power load forecasting model. The performance of the forecasting model was evaluated by the Root Mean Square Error and running time, then the forecast results were compared with LSTM method. The experimental results show that Adam-GRU has a higher accuracy than the LSTM model, an increase of 15.54%, and a time complexity reduction of 15.75%. Compared with the RNN model, the accuracy has improved 10.84%. The results show that the short-term power load forecasting model and parameter optimization method based on Adam-GRU can effectively forecast the power load data.
Innovative methods of developing solar power systems for remote and agricultural facilities in Uzbekistan

This paper presents innovative methods and techniques for the development of small solar power systems in Uzbekistan, based on the properties of patterning and prosumerism, adoption of which would increase the efficiency of power supply. It also provides examples and results of their application in solar systems for remote and agricultural power supply developed by MIR SOLAR LLC, as well as the experience of teaching these innovations to students of Uzbek universities (Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent State Technical University, and others).
Identification of Membrane Foulants and Optimum Cleaning Strategies for Nanofiltration and Reverse Osmosis Membranes Treating Groundwaters from the Castle Hayned and Peedee Aquifers

Membrane fouling consists of the accumulation of solutes and/or particulate matter on the membrane surface, resulting in decreased performance in terms of permeate water flux and/or solute rejection. Given the rising number of nanofiltration (NF) and reverse osmosis (RO) installations throughout North Carolina, studies on the fouling properties of local source waters and corresponding cleaning strategies are needed. Accordingly, we have identified foulants and optimum cleaning strategies for membranes collected from the Cape Fear Public Utility Authority (CFPUA) NF plant, which treats water from the Castle Hayne and Peedee aquifers. Castle Hayne foulants included dissolved organic matter and inorganic species, primarily calcium, silica, aluminum, and iron. Peedee foulants contained low concentrations of organic matter, and relatively high concentrations of calcium and silica. Alkaline cleaning solutions, particularly basic solutions containing ethylenediaminetetraacetic acid (EDTA), were shown to be more effective than acidic solutions at increasing water productivity in membrane samples fouled at the CFPUA treatment plant. In addition, membranes obtained directly from the manufacturer (not used in the CFPUA treatment plant) were fouled in the laboratory using waters collected at the CFPUA NF plant. The fouling produced in the laboratory could not be reversed using the cleaning solutions that successfully reversed fouling on membranes fouled at full-scale; this indicates that for the waters tested in this study, fouling in the laboratory is not representative of full-scale processes. Pretreatment of source waters was performed to simulate sand filtration, microfiltration, and ultrafiltration; the various filtration treatments were found to be ineffective at removing dissolved constituents that resulted in membrane fouling. Although membrane fouling significantly increases power consumption by the pumps in the membrane stages of the CFPUA treatment plant, increasing cleaning frequency above the current average of two times per year would result in limited energy savings compared to chemical and labor costs.
The Power of a Financially Literate Woman in Intra-Household Financial Decision-Making

Using India's national benchmark survey for financial literacy and inclusion, we observe a step change in financially literate women, who take on higher levels of responsibility in managing their households' finances. When financially literate women are responsible, they participate more in saving schemes, insurance products and alternative investments, and are less involved in saving money at home/informally and borrowing money from money lenders. On the other hand, financially literate male decision-makers participate more in investment products, stocks/shares and debt products. Further, households with financially literate women who are jointly responsible for managing finances with their spouse have the greatest probability of holding different types of financial products. Thus, we highlight that for an impactful increase in the participation of financial products, policy interventions should be geared toward equipping women with financial literacy and encouraging a husband-and-wife team to jointly manage their household's financial portfolios. The effective gains from financial literacy are observed to diminish going down the caste hierarchy from the privileged caste to lower caste households, where cultural norms are more binding.