Miracle-dz/UniFAR-FTUs huggingface dataset:
Fine-grained Sentiment Analysis of Chinese Reviews Using LSTM Network

Customer reviews on online shopping platforms have potential commercial value. Realizing business intelligence by automatically extracting customers’ emotional attitude toward product features from a large amount of reviews, through fine-grained sentiment analysis, is of great importance. Long short-term memory (LSTM) network performs well in sentiment analysis of English reviews. A novel method that extended the network to Chinese product reviews was proposed to improve the performance of sentiment analysis on Chinese product reviews. Considering the differences between Chinese and English, a series of revisions were made to the Chinese corpus, such as word segmentation and stop word pruning. The review corpora vectorization was achieved by word2vec, and a LSTM network model was established based on the mathematical theories of the recurrent neural network. Finally, the feasibility of the LSTM model in fine-grained sentiment analysis on Chinese product reviews was verified via experiment. Results demonstrate that the maximum accuracy of the experiment is 90.74%, whereas the maximum of F-score is 65.47%. The LSTM network proves to be feasible and effective when applied to sentiment analysis on product features of Chinese customer reviews. The performance of the LSTM network on fine-grained sentiment analysis is noticeably superior to that of the traditional machine learning method. This study provides references for fine-grained sentiment analysis on Chinese customer reviews.
EEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from such features. In this study, we have considered the BCI Competition data sets 2b-2008; additionally, Multi-Taper Common Spatial Pattern (MTCSP) feature extraction method is used for extracting the features of right and left hand data, Logistic Regression (Logreg) classifier is chosen to classify the data sets. In this paper, TPR, FPR, ACC and k function are used as evaluation criteria. The comparison of the results with the results of the BCI competition 2008 has proved the effectiveness, high accuracy and resolution of the proposed method. The results have shown that MTCSP method provides even higher classification accuracy. It points out that utilizing suitable preprocessing to keep the EEG signal free of redundant information is for sure a very important in the BCI development.
Formulation and In Vitro Evaluation of P H -Independent Sustained Release Drug Delivery System of Quetiapine Fumarate

Most of the synthetic drug available so far in market are either weakly acidic or basic in nature, such molecules are possess narrow range of absorption profile, when administered orally for systemic therapies. The erratic and poor absorption of these molecules are closely related with different physiological pH of gastrointestinal tract. There is a continuous need for improving bioavailability of such molecules. pH independent matrix drug delivery system is one such approach that can not only improve the dissolution and absorption of weakly basic or weakly acidic drug but also release the drug for prolonged period of time. Quetiapine fumerate was selected as a model drug for our present investigation. Quetiapine shows pH dependent solubility i.e. it is soluble in acidic aqueous media but solubility of drug decreases with increase in pH of media, which can result in pH dependent release of drug from drug delivery system. Eudragit L30 D55 an enteric polymer was selected to control the release in acidic medium and facilitate the release in basic medium by providing acidic microenvironment to release the drug independent of pH. Sodium alginate and HPMC was used as retarding and matrix forming agent, respectively. The prepared granules and tablets were characterized for its pharmaceutical properties, drug release studies and release kinetics. The ratio of HPMC and sodium alginate was studied and found suitable in ratio of 1:1, 1: 1.5, and 1.5:1 when used with 10 % acidifying and granulating agent to achieve not only desired release profile but also for better pharmaceutical standards. The present pre-formulation and formulation studies of pH independent matrix tablet had shown promising potential for delivery of pH dependent drugs that can improve the
Cosmological parameters degeneracies and non-Gaussian halo bias

We study the impact of the cosmological parameters uncertainties on the measurements of primordial non-Gaussianity through the large-scale non-Gaussian halo bias effect. While this is not expected to be an issue for the standard ΛCDM model, it may not be the case for more general models that modify the large-scale shape of the power spectrum. We consider the so-called local non-Gaussianity model, parametrized by the fNL non-Gaussianity parameter which is zero for a Gaussian case, and make forecasts on fNL from planned surveys, alone and combined with a Planck CMB prior. In particular, we consider EUCLID- and LSST-like surveys and forecast the correlations among fNL and the running of the spectral index αs, the dark energy equation of state w, the effective sound speed of dark energy perturbations c2s, the total mass of massive neutrinos Mν = ∑mν, and the number of extra relativistic degrees of freedom Nνrel. Neglecting CMB information on fNL and scales k > 0.03h/Mpc, we find that, if Nνrel is assumed to be known, the uncertainty on cosmological parameters increases the error on fNL by 10 to 30% depending on the survey. Thus the fNL constraint is remarkable robust to cosmological model uncertainties. On the other hand, if Nνrel is simultaneously constrained from the data, the fNL error increases by ∼ 80%. Finally, future surveys which provide a large sample of galaxies or galaxy clusters over a volume comparable to the Hubble volume can measure primordial non-Gaussianity of the local form with a marginalized 1-σ error of the order ΔfNL ∼ 2−5, after combination with CMB priors for the remaining cosmological parameters. These results are competitive with CMB bispectrum constraints achievable with an ideal CMB experiment.
Design and Implementation of an Efficient Parallel Feel-the-Way Clustering Algorithm on High Performance Computing Systems

This paper proposes a Feel-the-Way clustering method, which reduces the synchronization and communication overhead, meanwhile providing as good as or better convergence rate than the synchronous clustering methods. The Feel-the-Way clustering algorithm explores the problem space by using the philosophy of “crossing an unknown river by feeling the pebbles in the riverbed. ” A full-step Feel-the-Way clustering algorithm is first designed to reduce the number of iterations. In the full-step Feel-the-Way algorithm, each process runs a number of L steps before synchronizing its local solutions with other processes. This full-step algorithm can significantly decrease the number of iterations compared to the k-means clustering method. Next, we extend the full-step algorithm to a sampling-based Feel-the-Way algorithm to achieve higher performance. Furthermore, we prove that the proposed new algorithms (both full-step and sampling-based Feel-the-Way) can always converge. Our empirical results demonstrate that the optimized sampling-based Feel-the-Way method is much faster than the widely used k-means clustering method as well as providing comparable costs. A number of experiments with synthetic datasets, real-world datasets of MNIST, CIFAR-10, ENRON, and PLACES-2 show that the new parallel algorithm can outperform the k-means by up to 235% on a high performance computing system with 2,048 CPU cores.
The Influence of the Mineralogical Composition of Ultramafic Rocks on Their Engineering Performance: A Case Study from the Veria-Naousa and Gerania Ophiolite Complexes (Greece)

This case study investigates the influence of the mineralogical composition of ultramafic rocks derived from two ophiolite complexes from Greece (Veria-Naousa and Gerania) on their mechanical, physical and physicochemical properties. The investigated lithologies include lherzolite, harzburgite, dunite and olivine-orthopyroxenite with variable degrees of alteration. The ratio of secondary minerals to primary minerals (SEC/PR) of the studied ultramafic rocks shows good correlations with their physical, physicochemical and mechanical properties, suggesting that alteration has a negative effect on the engineering performance of the ultramafic rocks. Among the secondary minerals, serpentine plays the most critical role in determining the moisture content, the total porosity and hence the soundness of the host rocks, due to its phyllosilicate structure, which allows more water/solutions to be captured. The high percentage of serpentine creates surfaces of weakness, and as a result, it decreases the rock strength. The low microtopography of highly serpentinized rocks results in their reduced mechanical performance.
Cloning of a cryIIIA endotoxin gene of Bacillus thuringiensis var . tenebrionis and its transient expression in indica rice

Damage caused to rice production by coleopteran insects like rice weevil (Sitophilus oryzae), a stored grain insect pest and rice hispa (Dicladispa armigera), a pest of the growing plant is quite high. In order to combat the damage, generation of insect resistant transgenic rice plant was considered desirable. CryIIIA endotoxin of Bacillus thuringiensis var. tenebrionis, a 65 kDa protein toxic to coleopteran insects, figured as the candidate gene product. Thus, the cryIIIA gene was isolated from a local isolate of Bacillus thuringiensis var. tenebrionis. The gene was tailored at the N-terminal end to its minimal size by using a synthetic ATG codon which replaced the first codon next to ATG of threonine to proline. This modification did not affect the functional property of the gene product. A chimeric construct of the modified cryIIIA gene was developed containing CaMV35S promoter and nos terminator for plant expression. The expressibility of the cryIIIA gene in indica rice was judged through test for transient expression in indica rice protoplasts.
Chapter 3 Evaluating Group Recommender Systems ?

In the previous chapters, we have learned how to design group recommender systems but did not explicitly discuss how to evaluate them. The evaluation techniques for group recommender systems are often the same or similar to those that are used for single user recommenders. We show how to apply these techniques on the basis of examples and introduce evaluation approaches that are specifically useful in group recommendation scenarios.
2 Blur estimation using the Elder and Zucker method

When images are captured with a small depth of field, objects that are away from the focal plane are out of focus and are perceived as blurry. This effect usually occurs at relatively large apertures or when the focal plane is close to the lens. An image that includes objects in focus and out of focus could therefore be segmented in terms of depth. If we are able to measure the size of this blur, we can also produce a three dimensional depth map of the same image. In this report, blur estimation will be performed using methods proposed by Elder and Zucker (1998) and Hu and Haan (2006). The algorithms of both methods will be described, and tests from the papers will be repeated using a synthetic image (Fig. 6) and a real home brew photograph (Fig. 1).
Wireless Sensor Network Framework Design

Recent advancement in electronics and wireless communications has enabled the development of low-cost sensor networks, which can be used in variety of applications like healthcare, defense, education, and traffic control. The sensor network consists of thousands of autonomous sensor nodes that are densely deployed and work for months without any human intervention. The sensor nodes are low cost, low battery powered, smaller size multifunctional devices, which are generally used to monitor a particular characteristic of a physical environment like temperature, light, humidity and collect data periodically at specified time interval. Due to physical characteristics, sensors cause lots of resource constraints on the sensor network like limited power, memory and computational capabilities, which causes design challenges in designing sensor networks in terms of type of data processing, amount of data, and storing the intermediate data. The limited bandwidth and change in topology due to noise, position, and node malfunctioning causes challenges in terms of date transfer, routing of data and power consumption. This paper investigates various characteristics of sensor network; issues arise while designing sensor network and our approach for resolving these issues. The paper will then present our version of component based aspect oriented framework design that can be useful for designing various sensor network applications.
Divergence Time Estimation of Aloes and Allies (Xanthorrhoeaceae) Based on Three Marker Genes

Aloes and allies are prominent members of African succulent vegetation and especially of the highly diverse Cape Flora. The main goal of this study was to obtain age estimates for alooids by calibrating a Bayesian phylogenetic analysis based on two chloroplast markers (the trnL-trnF spacer region and rbcL gene) and one gene marker (ITS) using a relaxed molecular clock. Seventy four species from all succulent genera of alooids were analysed with MrBayes to infer species relationships. We discuss the age estimates to address the question whether vicariance or dispersal could account for the diversification of Madagascan alooids. In the combined maximum clade credibility tree obtained from BEAST the succulent alooids have split from asphodeloids around 51.8 Mya in Early Miocene. Divergence time age estimation for succulent drought resistant alooids (late Oligocene to early Miocene) correspond well with dates identified for several other plant lineages in southern Africa and does match with the start of dry period in Miocene which triggered speciation and evolutionary radiation of these genera and families. All climbing aloes and some tree aloes which were recently split into new genera are amongst the early diverged group in alooids and the crown node of this group diverged around 16.82 (15.5–22.4) Mya. The oldest node age estimation for aloes from Madagascar (5.1 Mya) is in early Pliocene and our findings support the hypothesis that the Africa-Madagascan divergence is best explained by oceanic long-distance dispersal rather than vicariance. This study is one of the first to give age estimates for clades of alooids in Xanthorrhoeaceae as a starting point for future studies on the historical biogeography of this family of succulent plants which are important for ethnomedicine, and as ornamental and horticultural plants.
Improved Copper / Iron Selectivity in Solvent Extraction

BASF Mining Solutions have developed a new generation of copper solvent-extraction reagents that offer significant benefits over the existing reagents available to the industry today. Initial laboratory studies and pilot-plant trials have shown that these new reagents offer the benefits of a dramatic increase in resistance to degradation and are nitrationproof. This paper details a recent pilot-plant campaign at a commercial solvent-extraction plant. The main focus was to evaluate the copper/iron selectivity, copper recovery and net transfer of the new reagent compared with the conventional oxime reagents. The new reagent displays similar copper recovery and net transfer capabilities from typical agitation leach solutions. The pilot-plant results show a step change improvement in copper/iron selectivity in comparison with the existing modified and non-modified hydroxyoxime reagents used on the commercial plant.
ASSOCIATION OF INTERLEUKIN-1 POLYMORPHISMS WITH PERIODONTAL DISEASE IN THE MENTALLY RETARDED

Genetic test for a composite Interleukin-1 (IL-1) genotype is being marketed to predict risk for progression of periodontitis. Aim: To elucidate the effect of genetic variance of inflammatory mediators expression and the influence of microbial expression, as risk factors for periodontitis – inflamation around teeth among Down’s syndrome individuals, as well as to characterize a new procedure to perform this concept through isolation of DNA from dried blood spots collected on a specific filter paper. Materials & Methods: Twenty normal volunteers and thirty Down’s syndrome (DS) children (comparable of age range,15-20 years old) represented the sample of this study. Their periodontal status was estimated through periodontal examination (full mouth clinical attachment loss measurement, probing depths, plaque index scores, and bleeding on probing). Isolation and detection of certain oral pathogens; A.actinomycetemcomitans, Porphyromonas gingivalis, and Provetella intermedia was performed. Genotype for bi-allelic IL-1A+4845, IL-lB+3954 gene polymorphisms using blood was detected by PCR based methods. Results: The study clarified that the distribution of IL1 and IL-1 composite genotype among the normal and Down’s syndrome individuals were 30% and 5% & 23.3% and13.3%, . The total IL- 1 ( IL-1 & IL-1 ) were 35% in the normal and 36.7% in the DS individuals. Results showed significant difference between the total composite IL-1 genotype of allele 2 carriage of IL-1A (+4845) & IL-1B (+3953) of DS and normal individuals. There were significant differences between the two groups (DS and normal) only as regards to colonization of Gram (-ve) facultative rods (A.actinomycetemcomitans) a nd n early a ll microorganisms showed a higher percentage within DS more than normal (A. actinomycetemcoitans were 30% & 5%, respectively, P. gingivalis; 23.3% and 10% respectively and P.intermedia was not detected within normal and detected in 6.7% of DS individuals, In addition, DNA was stable and could be captured on FTA cards when tested by PCR and matched with results detected through ordinary procedure. Conclusion: The composite IL-1 genotype is associated with the severity of periodontitis and further – (DS) respectively studies have to be conducted to confirm transmission disequilibrium testing with parental DNA to detect excess transmission of the disease associated with genotypes to the affected off-spring. The use of FTA cards were recommended as a new surveillance tool for molecular techniques. It constitutes a significant improvement in the collection of samples (especially with children and handicapped individuals), as well as ease in sample transport.
Numerical methods for unsaturated flow with dynamic capillary pressure in heterogeneous porous media

Traditional unsaturated flow models use a capillary pressure-saturation relationship determined under static conditions. Recently it was proposed to extend this relationship to include dynamic effects and in particular flow rates. In this paper, we consider numerical modeling of unsaturated flow models incorporating dynamic capillary pressure terms. The resulting model equations are of nonlinear degenerate pseudo-parabolic type with or without convection terms, and follow either Richards’ equation or the full two-phase flow model. We systematically study the difficulties associated with numerical approximation of such equations using two classes of methods, a cell-centered finite difference method (FD) and a locally conservative Eulerian-Lagrangian method (LCELM) based on the finite difference method. We discuss convergence of the methods and extensions to heterogeneous porous media with different rock types. In convection-dominated cases and for large dynamic effects instabilities may arise for some of the methods while those are absent in other cases.
No . 792 Catching-up and Inflation in Europe

This study analyses the impact of economic catching-up on annual inflation rates in the European Union with a special focus on the new member countries of Central and Eastern Europe. Using an array of estimation methods, we show that the Balassa-Samuelson effect is not an important driver of inflation rates. By contrast, we find that the initial price level and regulated prices strongly affect inflation outcomes in a nonlinear manner and that the extension of Engel’s Law may hold during periods of very fast growth. We interpret these results as a sign that price level convergence comes from goods, market and non-market service prices. Furthermore, we find that the Phillips curve flattens with a decline in the inflation rate, that inflation is more persistant and that commodity prices have a stronger effect on inflation in a higher inflation environment. JEL-Code: E43, E50, E52, C22, G21, O52.
IJAER ( 2017 ) ; 3 ( 3 ) : 279-291 OPTIMIZATION OF BREAD BAKING CONDITIONS IN SUPERHEATED STEAM OVEN USING RESPONSE SURFACE METHODOLOGY

The objective of the study was to optimize the bread baking condition in superheated steam oven. Independent variables were the baking time (20, 25, and 30 min) and the baking temperature (180, 200 and 220°C). The bread quality parameter including moisture content, color and texture properties were measured. The response surface methodology was used for the optimization. The effect of baking condition on the parameters of bread were investigated using secondorder central composite design. Baking temperature and time significantly affect moisture content and color of bread. Numerical optimization and superimposed contour plots suggested the optimum baking condition of bread to be 180 °C (temperature) and 20.77 minutes (time). The optimum moisture content, L* and hardness value are predicted to be 38.52 %, 76.24 and 13.26 N of the baked bread respectively. Baking bread in these conditions produce high quality bread in terms of moisture content, color and texture properties
Optimization of reducing sugar production from enzymatic hydrolysis of banana peels using response surface methodology

Banana varieties have a significant effect on the reducing sugar content in the peel. The Musa ABB cv. Kluai 'Hom Thong' banana variety produced the most reducing sugar in the peel (52.45 mg/g), followed by cv. Kluai 'Namwa' (44.80 mg/g), cv. Kluai 'Leb Mu Nang' (39.13 mg/g) and cv. Kluai 'Khai' (36.98 mg/g). A 4-factor-5-level central composite design (x1 and x2 = value of temperature (70-90 °C) and period of time (15-75 min) by hydrolysis with α-amylase; x3 and x4 = value of temperature (50-70 °C) and period of time (75-135 min) by hydrolysis with glucoamylase), was applied to determine the optimal conditions for reducing sugar production from banana peel (cv. Kluai 'Hom Thong') by enzymatic hydrolysis using α-amylase and glucoamylase. The optimal conditions for the highest reducing sugar yield (60.65 mg/g) were α-amylase at 86 °C for 75 minutes and glucoamylase for 60 °C for 75 minutes.