Miracle-dz/UniFAR-FTUs huggingface dataset:
Popular Content Prediction Based on Web Visitor Data With Data Mining Approach

A quality website has five parameters that must be considered are: information, security, convenience, comfort, quality of service. But of course, the fifth parameter does not always guarantee the amount through its Web page will increase, from that problem. So research is conducted to predict website content based on visitor data with a data mining approach, this research aims to improve the quality of content on target according to the interest of website visitors. Evaluation of random forest algorithm has the value the accuracy of classification of 71 percent by value of Kappa 0.712 whereas the k-NN algorithm has higher accuracy values of random Forest algorithm i.e. worth 84.88 percent and kappa values of the mean 0.847 the k-NN algorithm performs data processing process predictions against data of web content more effectively than the random forest
Determination of the Mass Diffusion Coefficient Based on the Relative Humidity Measured at the Back Face of the Sample During Unsteady Regimes

This work proposes a new method for the determination of the mass diffusion coefficient in hygroscopic materials. The experiment consisted of submitting one face of the sample to a variation in time of the relative humidity (RH) and measuring the RH on its back face. The imposed RH and temperature were measured during the test and served as boundary conditions in a comprehensive computational code to solve heat and mass transfer in porous media. This model uses a physical engine embedded in the inverse procedure to determine the mass diffusion coefficient. Compared with classical methods, this new method has several advantages: It allows several samples to be measured simultaneously, simply by multiplexing the RH sensors. Accurate values can be obtained even when starting and ending out of equilibrium, which allows the characterization time to be drastically reduced. The external mass transfer coefficient has a negligible effect on the identified value. Nonstandard Fickian behaviors can be detected by the disagreement between the measured and simulated curves. The results show that the diffusivity obtained for spruce wood is in good agreement with those found with classical methods. In contrast, the fiber board results differed between the experiment and model, or yielded unrealistic values, which confirms the dual-scale nature of mass transfer that occurs in this kind of material.
Voltammetry of oxygen in the room-temperature ionic liquids 1-ethyl-3-methylimidazolium bis((trifluoromethyl)sulfonyl)imide and hexyltriethylammonium bis((trifluoromethyl)sulfonyl)imide: One-electron reduction to form superoxide. Steady-state and transient behavior in the same cyclic voltammogram re

The electrochemical reduction of oxygen in two different room-temperature ionic liquids, 1-ethyl-3-methylimidazolium bis((trifluoromethyl)sulfonyl)imide ([EMIM][N(Tf)2]) and hexyltriethylammonium bis((trifluoromethyl)sulfonyl)imide ([N6222][N(Tf)2]) was investigated by cyclic voltammetry at a gold microdisk electrode. Chronoamperometric measurements were made to determine the diffusion coefficient, D, and concentration, c, of the electroactive oxygen dissolved in the ionic liquid by fitting experimental transients to the Aoki model. [Aoki, K. ; et al. J. Electroanal. Chem. 1981, 122, 19]. A theory and simulation designed for cyclic voltammetry at microdisk electrodes was then employed to determine the diffusion coefficient of the electrogenerated superoxide species, O2•-, as well as compute theoretical voltammograms to confirm the values of D and c for neutral oxygen obtained from the transients. As expected, the diffusion coefficient of the superoxide species was found to be smaller than that of the oxyge.
Tourists’ Need for Uniqueness as a Representation of Differentiated Identity

This study aims to examine the relationship between tourists’ need for uniqueness (TNFU), perceived authenticity, tourists’ emotions, and their behavioral intentions in a heritage context. A proposed conceptual model is tested using the data generated from a convenient sample of 474 tourists visiting Cappadocia Göreme National Park, a natural and cultural heritage destination in Turkey. Using the partial least squares technique, the findings confirm that tourists’ need for uniqueness influences object-based authenticity and existential authenticity. Object-based authenticity and existential authenticity affect tourists’ emotions. Also, the tourist’s emotions affect their behavioral intentions. The model is further examined from a nationality perspective through a multigroup analysis. The effect of avoidance of similarity on TNFU is greater in European tourists. Also, the effect of TNFU on object-based authenticity is greater in Asian tourists. Further, the effect of object-based authenticity on tourists’ emotions is greater in Asian tourists. Discussions and implications for destination marketers, limitations, and suggestions for future research are also provided.
Investigation of Microorganisms in Bentonite Deposits

Microbiological characteristics of bentonite deposits were investigated as a natural analogue of microbial behavior in the buffer material for geological disposal of radioactive waste. Distributions of microorganisms in bentonite were examined at four sites in two different bentonite deposits in Japan. The sites included pond bottom, wetland, and wet mine gallery environments where bentonite layers have been left undisturbed for 2 to 30 years. Excavation was performed without using drilling water and the center parts of the cores were used for microbial examination. Plate counts with R2A medium of aerobic and anaerobic bacteria at the drilling mouth ranged from 105 to 107/g DW (dry weight) and from 103 to 106/g DW, respectively. The CFDA-AM (Carboxyfluorescein diacetate acetoxymethyl ester) cell counts ranged from 106 to 109/g DW. Bacterial numbers in the bentonite layers declined with distance from the drilling mouth; both aerobes and anaerobes were less than 102/g DW and CFDA-AM cell counts less than 106/g DW for core samples taken from approximately 1 m depth, except at the pond bottom. These results suggest that microbial activity in natural bentonite is lower than in typical soils and aquatic sediments and does not spread easily.
Historical reasoning in an undergraduate CLIL course: students’ progression and the role of language proficiency

ABSTRACT In a study of undergraduate L2 students participating in a Content and Language Integrated Learning historical reasoning course, we examined students’ changing performance on historical reasoning and how this was affected by their English reading and writing proficiency. Students engaged in written historical reasoning when answering a historical question by using sources and heuristics such as historical contextualization and corroboration. The course was designed based on principles likely to enhance historical reasoning and second language acquisition, and included an overt focus on language form. We found that students were able to reason historically at an emerging level of proficiency. The markers of historical reasoning present in their writing were neither significantly flawed nor highly proficient. A latent growth curve analysis was used to investigate the effect of students’ English language proficiency on their source-based writing and the changes in their reasoning over the duration of the course. We found that students’ English proficiency level did not predict either their reasoning or changes in their performance during the course. Students at differing levels of English proficiency improved similarly.
Analysis of Criminal Spatial Events in GIS for predicting hotspots

The crime rate increasing in developing countries cause of the unequal distribution of psychological, economic situation. This research aims to identify the crime mapping and investigate the hotspots and analyzing the spatial crime dataset and the predict of Spatio-temporal hotspot in Baltimore city for a period from 2012 to 2018. Analyzing crime data using data mining algorithms and The Geographic Information System (GIS) of Geographic dataset visualize and it possible for law enforcement to detect spatial crime patterns map easy and flexible and different analysis to identify the crime hotspot region efficiently. analysis crime hotspot using GIS is a useful way to the recognition for crime pattern and predicting hotspot over spatial correlation, analysis spatial data and revile crime pattern future detection. using spatial correlation, the G* statistic has been done with hotspot analysis the Getis-Ord Gi* to find the result of the spatial statistics pattern. analysis the crime to predict hotspot uses spatial variation and density crimes for clarifying the positions of statistically significant crime predict hotspots and cold spots and GIS interpolation method is used for more efficient visualization. This research using Grid network hotspots are applied to the crime data of Baltimore, Maryland state to recognize the hotspots for crime data like Shooting, Homicide and Assault by threat.
Human Drug Efflux Transporter ABCC5 Confers Sensitivity and Acquired Resistance to Pemetrexed in Breast Cancer

AimPemetrexed, a new generation antifolate drug, is approved for the treatment for locally advanced or metastatic breast cancer, but factors affecting the efficacy and resistance of it have yet to be fully explicit. ATP-binding cassette transporters have been reported as prognostic and adverse effects predictors of many xenobiotics. This study was designed to explore whether ABC transporters affect pemetrexed resistance and may contribute to treatment regimen optimization for breast cancer.MethodsFirstly, the expression of ABC transporters family members was measured in cell lines, thereafter examined the potential role of ABC transporter in conferring resistance to pemetrexed in primary cancer cell lines isolated from 34 breast cancer patients, and then the role of ABCC5 in mediating transport of pemetrexed and apoptosis pathway in MCF-7 cell lines was assessed. Finally, the functions of ABCC5 on therapeutic effect of pemetrexed was evaluated in breast cancer bearing mice.ResultsThe expressions of ABCC2, ABCC4, ABCC5 and ABCG2 were significantly increased in pan-resistance cell lines, and the ABCC5, the most obvious one, was 5.21 times higher than that of the control group. The expression of ABCC5 was inversely correlated with sensitivity (IC50) of pemetrexed (r = 0.741; p<0.010) in breast cancer cell lines from 34 patients. Further, we found expression of ABCC5 influenced the efflux and cytotoxicity of pemetrexed in MCF-7 cell line, and the IC50 were 0.06 μg/ml and 0.20 μg/ml in ABCC5 knock-down and over-expression cells, respectively. In vivo study, we found ABCC5 affected sensitivity of pemetrexed in breast cancer bearing mice, and the tumor volume was much larger in ABCC5 over-expression group than that in control group (2.7 folds vs 1.2 folds). ConclusionsOur results indicated ABCC5 was associated with pemetrexed sensitivity and resistance in vitro and in vivo, and may be a biomarker for regimen optimization of pemetrexed in breast cancer treatment.
Combining Natural Reaction Analogues and First Derivative Spectrophotometric Method to Enhance the Visible Spectra of a Non-Polar Crude Leaf Extract

Aim: This study was aimed at using natural reaction analogues and first derivative spectrophotometry to enhance the visible range of the non polar leaf extract. Study Design: The leaf of Alchornea cordiflora was extracted so as to enrich the extract with chlorophyll holochromes and carotenoids. The ethanolic extract was designated as MX and used as the non polar leaf extract in the experiment. Place and Duration of Study: Department of Biochemistry, University of Cape Coast, Ghana, between March 2011 and August 2011. Methodology: A non-polar crude leaf extract was treated with naturally occurring reaction analogues of acidification, alkalinisation, oxidation and reduction. The spectra of the resulting solutions were analyzed by difference and first derivative spectrophotometric methods. Results: The treatment led to the enhancement of the chromophoric content and the general quality of the individual spectrum. The wavelength regions: 420-500, 440-500, 460500, 500-600 nm of spectral improvement were selective to their respective analogue test substance and conditions used in a reaction Conclusion: The 500-600 nm range was better than the Soret and the red regions to monitor the copper complexation with acidic non-polar leaf extracts of Alchornea cordiflora. Alkalinization, oxidation and reduction conditions also resolved the multiple peaks of the Soret region into distinct peaks that can be useful for monitoring and quantification of bioinorganic preparations from the leaf extract of Alchornea cordiflora. Research Article American Journal of Experimental Agriculture, 2(2): 207-218, 2012 208
Research on sentiment classification of Chinese short text

Sentiment classification can be widely used in various fields because of the value it has gained, and has received extensive attention in recent years. No matter the traditional methods based on language rules, machine statistical learning, or the current popular deep learning have achieved great success in this respect, but up to now, because of the particularity of Chinese, there are still few methods for Chinese text sentiment classification. Moreover, the traditional method is time-consuming and labor-consuming, with poor versatility. The neural network method saves resources and is generally applicable, but the application of language knowledge is not sufficient. For this reason, we propose a method combining traditional method with neural network, which combines sentiment lexicon, attention mechanism and stacked BILSTM. Word vectors are generated using word2vec, and the context semantics are captured multiple times by stacked BILSTM to get richer semantic information, for sentiment classification, sentiment words often have more influence on the result of classification, so we use sentiment lexicon which contains rich sentiment word to monitor the attention mechanism, and make the attention model pay more attention to sentiment words. Combining the advantages of traditional methods and neural networks, we use the proposed method to do the sentiment binary classification experiments on two data sets. The experimental results show that our proposed method is superior to the previous method.
The Contribution of Phosphorus Leached from Crop Canopy to Losses in Surface Runoff

Simulated rainfall (6 cm/hour) was used to leach P from growing cotton (Gossypium hirsutum), sorghum (Sorghum sudanense), and soybean (Glycine max.) plants as a function of soil type and time interval between rainfall events. The relative contribution of plant material and surface soil to the transport of soluble P in surface runoff was estimated. The amount of soluble P in plant leachate, collected before contacting the soil surface, was found to increase with plant age and soil-water stress when changes in leaf area index were accounted for. A period of at least 1 day between rainfall events was needed for P to reaccumulate on the lead surface. The contribution of soluble P in plant leachate to that transported in suface runoff was estimated as the difference in runoff concentration between planted and bare soil. When plants were subject to a soil P stress, canopy leachate contributed the major proportion (90%) of that transported in surface runoff. With an increase in plant age from 42 to 82 days, the contribution of plant leachate to surface runoff increased from approximately 20 to 60%. The possible sorption of leached P is discussed along with estimating leaching losses in improving the predictive ability ofmore » nutrient models. « less
Distinguishing Three Classes of Androgenetic Alopecia based on Concerns in Youth: Latent Class Analysis of a Cross-Sectional Survey

Background: While androgenetic alopecia (AGA) is a common condition, the concerns of youth about this condition, and how these concerns influence quality of life, personal well-being and health behaviour have been not been thoroughly investigated.Methods: Thai youth were asked to complete an AGA-related questionnaire including the dermatology life quality index, to assess their concerns and the clinical relevance. Latent class analysis was used for data analysis.Results: Data from 278 youth were collected. The mean participant age was 22 years (SD=0.79), and 57% of the participants were men; 94.6% of the participants reported any hair loss, mostly in the AGA severity of grade 1-2. A three-class model showed the best fit. Latent class 1 (LC1) participants (58%) had the lowest probabilities of concerns regarding AGA. LC2 participants (22%) had a generally low probabilities of AGA concerns, except when they were flirting, when they were with their lover and regarding how their hair looked when they were photographed. LC3 participants (20%) were the most concerned about AGA in all aspects. Compared with LC1 participants, LC3 participants were more often to use more than 3 hair styling products (relative risk, 6.7;1.5-29.6;P=0.013) and their AGA severity was more severe in both males (relative risk, 3.2;1.1-8.9;P=0.023) and females (relative risk,10.2; 3.3-31.0;P=<0.001). Conclusions: Youths who are more worried about AGA experience higher AGA severity and poorer quality of life, and are more likely to use multiple hair styling products.
Optimal Solution of MINLP Problems Using Modified Genetic Algorithm

Many engineering and industrial constrained optimization problems can be modeled as mixed integer nonlinear programming (MINLP) problems e.g. heat and mass exchange networks, reactor-separator networks, batch plant design and scheduling, flow sheeting etc. The global optima in such problems are ill-conditioned due to the involvement of continuous and discrete variables, nonlinearities and non-convexities.This research work concerns the development of a modified GA and to apply it to find the solutions of several difficult MINLP problems. The modified GA utilizes tournament selection, SBX cross-over, polynomial mutation and variable elitism operators, along with distance based dynamic penalty with anti-distortion. The algorithm has been programmed in MATLAB. Six MINLP problems, which emerged from the optimal design of sequential multi-product batch plants, and considered as difficult ones in literature, were successfully solved. The solutions thus obtained are either comparable or better than those available in literature. The above combination of various schemes in modified GA helps in achieving faster convergence to global optimum with comparatively less violation of constraints; population size required is also less. The effect of various parameters on the convergence to global optimum has also been studied along with setting of various parameters. In future, efforts may be devoted to search proper merging strategy of quality operators for the design of a general purpose and robust GA so as to use it for a variety of engineering, specifically process engineering problems, more effectively.
Detection of a Single Molecule Adsorption Structure of Poly(ethylenimine) Macromolecules by AFM

In this study, tapping mode scanning force microscopy was applied to characterize the distribution and adsorption structure of poly(ethylenimine) (PEI) macromolecules adsorbed onto negatively charged polystyrene latexes as colloidal model systems and onto molecularly flat mica surfaces as reference systems. On both surfaces, PEI macromolecules can be reproducibly mapped by tapping mode AFM, yielding molecular resolution without sample degradation despite the only relatively weak noncovalent coupling of the polyelectrolytes to the substrate surface. We are able to quantify their lateral dimensions as a function of the corresponding molecular weight. The lateral dimension of the adsorbed PEI macromolecules (60 down to 20 nm) on both types of substrates are in fair agreement with the diameters as measured by dynamic light scattering for the respective molecules in solution. Their adsorption structure is patch-like flat in the dried state under ambient air. However, mica and polystyrene surfaces result in a l.
CBC effectively stratifies the patients with different types of malignant tumors

Early prediction of tumor process especially related to the detection of oncological diseases at early stage is a hot problem. We compared the complete blood count data for patients with various types of tumors; the patients with tumors of the hematopoietic system were excluded from the study. We used both linear (K-means) and non-linear (elastic maps) methods. No informative patterns have been found through the implementation of classic linear statistics methods. On the contrary, the elastic maps technique revealed the specific groups among the patients. Neither relation to the gender, nor age of patients has been found. However, the abundance of basophils, eosinophils, leukocytes and immunoglobulins exhibit specific pattern of the clusters occupancy. Thus, in our study we found that patients are stratified in accordance with quantitative changes in laboratory blood parameters, which is associated with the body’s response to stress caused by a malignant tumor.
Clinical efficacy of ayurveda treatment modalities in the management of garbhashosh (intrauterine growth restriction): a systematic review

Concept of fetal well-being has gained importance in conventional science in recent era, but this concept of ‘supraja janana’ was a prime concern of Ayurveda since old era. Apart from prematurity, intrauterine growth restriction (IUGR) is a major public health problem in most of the developing countries. While going through ayurved classics it is revealed that garbhashosh is one of the disease, which is comparable to intrauterine growth restriction in modern medicine. In Ayurveda various drugs and preparations have been described for treatment of garbhashosh. These drugs are comparatively safe without any unwanted side effects. Aim of this work was to review and meta-analyze the effictiveness of various ayurvedic treatment modalities for garbhashosh with respect to (w.r.t.) IUGR. An attempt to expand the concept of IUGR according to Ayurveda and to yield a flourishing result to this world-wide problem through Ayurveda, this topic has been selected for the study. Going through pathology and main clinical signs and symptoms, garbhashosh can be correlated with IUGR. It is observed that, total 5 clinical studies and 1 case study have been reported on management of IUGR by using classical formulations of Ayurveda. The results and observations obtained through demographical data, effect of therapy observed on the ultrasound parameters as well clinical parameters of garbhashosh w.r. t. IUGR were statistically significant. Results were obtained in favour of most of the ayurvedic formulations. Through this review it can be stated that bruhaniya gana sidha kshirbasti and kshirpan, shatavari kshirbasti, shatavaryadi kshirbasti, yashtimadhu vidari siddha kshirbasti, shatavari ashwagandha phalaghruta kshirbasti, can be given to a pregnant women with IUGR after completion of 28 th weeks of gestation, without any complication either in mother or in child. It is cost effective as compared to modern drug.