Miracle-dz/UniFAR-FTUs huggingface dataset:
Carbon Nanotubes in Cancer Research and Therapy

The global use of crude oil for energy applications has increased during the last decades, leading to an extensive release of oil into the environment as well. Thus, contamination deriving from oil spills and industrial wastewater has been recognized as one of the major environmental issues, imposing a serious threat to both human and marine ecosystem health. Treatment of contamination and pollution caused by crude oil constitutes a quite challenging and elaborate process. Among the conventional technologies applied for oil-water separation, oil absorption process has been widely examined in recent years.
Disrupted exoplanet systems in the SuperWASP Archive

The aim of this research project has been to search for disrupted or disintegrating exoplanets; this search has been carried out using archival data from the Super-WASP (Wide Angle Search for Planets) transit photometry detection programme. The main aim of the archival search was to look for objects similar to Kepler-1520b (Rappaport et al., 2012) and Boyajian’s star (Boyajian et al., 2016), which were both discovered using the transit method of detection and both show very unusual signals when compared to a typical transiting exoplanet. The transit signal of Kepler-1520b appears to change in depth between transits, where transits have a depth between 0% and 1.3% of the ﬂux. Boyajian’s star shows highly chaotic behaviour in the lightcurve with no distinct transit period and no consistent transit depth. I develop bespoke routines to search the SuperWASP archive, based on the characteristics of Kepler-1520b and Boyajian’s star, to ﬁnd transits that vary in depth. From these searches, objects with the largest transit depth variability were highlighted for possible follow up. The South African Large Telescope (SALT) was used to observe the spectra of four of the most interesting objects highlighted from the archive searches. These spectral observations provide stellar characteristics of the system and the subsequent WASP lightcurve analysis led to the discovery of two possible tidally disrupted transiting objects, which have been named Tidally Disrupted Transitors (TDTs) in this thesis. These objects appear to show large transit signals of up to 68% of the ﬂux occurring frequently and in a distinct pattern for between 1-2 months. The orbital conﬁguration of these objects also seems to suggest that they may have originated from outside the current host star’s system.
Phylogenetic placement of Cryptophiale, Cryptophialoidea, Nawawia, Neonawawia gen. nov. and Phialosporostilbe

During a survey of freshwater fungi in China and Thailand, seven fresh collections representing four species in Chaetosphaeriaceae are described and illustrated based on morphological characters and phylogenetic analyses of combined LSU and ITS sequence data. Cryptophiale udagawae, Cryptophialoidea fasciculata and Nawawia filiformis were re-collected and are reported with the first sequence data. Two collections of Phialosporostilbe from China and Thailand are identified and introduced as a new species named P. scutiformis with the first sequence data for the genus. A new genus Neonawawia is introduced to accommodate Ne. malaysiana. New combinations are proposed for the genera Neonawawia and Phialosporostilbe. Descriptions and illustrations of the new taxa and identified species are provided. Reference specimens of Cryptophiale udagawae, Cryptophialoidea fasciculata and Nawawia filiformis are designated in this study. Phylogenetic placements of the genera Cryptophiale, Cryptophialoidea, Nawawia, Neonawawia and Phialosporostilbe are discussed.
Fabrication additive de pièces en polymères thermoplastiques hautes performances et en polyamide 12 par le procédé de frittage sélectif par laser

Le frittage selectif par laser (ou Selective Laser Sintering, SLS) des poudres polymeres thermoplastiques est maintenant une technique repandue de fabrication additive. Neanmoins, ce procede n'est industriellement mature que pour une seule famille de polymeres, les polyamides. Pour que ce procede soit employe dans la fabrication de pieces subissant des contraintes thermiques au-dela de 50 °C, il est ainsi necessaire d'etendre la gamme des materiaux utilisables a des polymeres hautes performances tels que les poly(aryl-ether-cetone) ou les poly(aryl-imide). Cette etude decrit la fabrication additive, couche par couche, de pieces aerospatiales complexes en polymeres hautes performances. Pour cela, sept poudres en polymere ont ete selectionnees afin d'etudier l'influence de celles-ci sur les differentes phases du procede et sur la qualite de la matiere frittee/fondue. Ainsi, la morphologie de leurs particules, leurs microstructures ou encore leurs densites versees et tapees sont analysees, de meme que leurs stabilites thermiques, leurs capacites a absorber l'eau ou a s'ecouler. Dans un second temps, une etude parametrique du procede a ete realisee dans le but d'aboutir a la fabrication de pieces de bonne qualite matiere, tout en portant un interet vis-a-vis des evolutions de la poudre cycle apres cycle de fabrication. De plus, il est important, dans un souci d'optimisation, d'utiliser toutes les possibilites de forme qu'offre cette fabrication additive et d'en evaluer la resistance mecanique. C'est pourquoi une loi de comportement mecanique d'un polyamide 12 consolide selectivement par laser a ete determinee et implementee dans un code de calcul par elements finis (ZeBuLoN®). Cette loi de comportement, dans le domaine lineaire et non lineaire, representative de l'anisotropie du materiau, a ensuite ete validee experimentalement sur des eprouvettes d'essais mecaniques et sur un demonstrateur aerospatial.
Ractopamine concentration on the lipid profile of swine fat and meat

ABSTRACT: This study was conducted to evaluate the effect of ractopamine concentrations on swine fat and meat lipid profiles. Ninety finishing barrows, initially weighing 71.9±4.4kg, were distributed in a randomized block design in three ractopamine concentrations (0, 10 and 20ppm) with fifteen replicates of two animals in each. Gas chromatography was used to analyze the lipid profiles of backfat and meat. The inclusion of ractopamine in the diet changed (P<0.05) α-linolenic acid and eicosatrienoic acid concentrations in the backfat but did not affect (P>0.05) any of the other fatty acids or indexes evaluated. In the meat, a significant effect (P<0.05) was observed on nine fatty acids evaluated, with a decrease (P<0.05) in lauric, myristic, and palmitic fatty acids, and an increase (P<0.05) in linoleic, γ-linolenic, dihomo-γ-linolenic, and eicosapentaenoic acid. Ractopamine also affected (P<0.05) the concentration of α-linolenic and arachidonic acid in the meat (P<0.05). The indexes evaluated were also affected (P<0.05). Addition of 10ppm decreased the saturated fatty acid concentration, atherogenic index, thrombogenic index and omega 6: omega 3, while it increased unsaturated and polyunsaturated fatty acids concentrations. Ractopamine addition had less effect on the backfat than on the meat, and the 10ppm level improved the meat lipid profile.
Food properties influence grasping strategies in strepsirrhines

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Food properties influence grasping strategies in strepsirrhines Louise Peckre, Anne-Claire Fabre, Julien Hambuckers, Christine Wall, Lluís Socias-Martínez, Emmanuelle Pouydebat
Investigating Best Approaches for Activity Classification in a Fully Instrumented Smarthome Environment

Analyzing human behavior in smart environments is an important research area dealing with a multitude of issues related to ubiquitous computing, machine learning and ambient assisted living. With recent advancements in sensing technologies, it is henceforth possible to build computational models that select relevant sensors, and apply statistical models for accurate detection of residents’ activities in smarthomes. To this end, we choose to work with the “Orange4home” dataset which represents one of the latest dataset in this research field. The main contribution of this paper is (1) to perform accurate detection of resident activities (extracted from the “Orange4Home” dataset) by proposing relevant preprocessing and machine learning approaches, and (2) enhance previous classification results already published on the same dataset. Thus, our methodology in this paper is to explore the whole process from data preprocessing to classification metrics. Indeed, a carefully designed and original preprocessing algorithm is proposed in order to properly prepare data to the training phase. Then, to perform relevant exploration of the feature space, many strategies for features selection and reduction (based on Univariate feature selection and Principal Component Analysis) were proposed. For the activities classification task, many well-chosen discriminative models (SVMs, Decision Trees, Random Forests) were explored. Our main results outperform previously published results on the same dataset. Moreover, comparing all proposed classifiers, Random Forests outperform other classifiers and shows that the optimal accuracy rate (95%) was obtained thanks to a smart choice of a limited number of sensors rather the use of the full feature space (i.e. data from all installed sensors). Based on our results, many recommendations (for building optimal smarthomes and activity classification models) were emphasized in the end of this paper.
Description of a new species of Moenkhausia (Characiformes: Characidae) from the upper Paraguay basin, Central Brazil, with comments on its phylogenetic relationships

ABSTRACT A new species of Moenkhausia is described from tributaries of the upper rio Sepotuba, Paraguay basin, Brazil. The new species is distinguished from its congeners by a combination of characters, including an inconspicuous oval-shaped vertically elongated humeral blotch, extending horizontally from third through five lateral-line scales, and vertically from third row above lateral line to first row below it, followed by a diffuse field of dark chromatophores in the flank, combined with a well-defined dark line at the base of the anal fin. Furthermore, the phylogenetic position of the new species is presented based on molecular data, showing a close relationship among species of Moenkhausia and Hemigrammus that have a well-defined dark line at the base of the anal fin. Until this moment, this species is only known from in the upper rio Sepotuba basin.
Reading English-language haiku: An eye-movement study of the ‘cut effect’

The current study, set within the larger enterprise of Neuro-Cognitive Poetics, was designed to examine how readers deal with the ‘cut’ – a more or less sharp semantic-conceptual break – in normative, three-line English-language haiku poems (ELH). Readers were presented with three-line haiku that consisted of two (seemingly) disparate parts, a (two-line) ‘phrase’ image and a one-line ‘fragment’ image, in order to determine how they process the conceptual gap between these images when constructing the poem’s meaning – as reflected in their patterns of reading eye movements. In addition to replicating the basic ‘cut effect’, i.e., the extended fixation dwell time on the fragment line relative to the other lines, the present study examined (a) how this effect is influenced by whether the cut is purely implicit or explicitly marked by punctuation, and (b) whether the effect pattern could be delineated against a control condition of ‘uncut’, one-image haiku. For ‘cut’ vs. ‘uncut’ haiku, the results revealed the distribution of fixations across the poems to be modulated by the position of the cut (after line 1 vs. after line 2), the presence vs. absence of a cut marker, and the semanticconceptual distance between the two images (context–action vs. juxtaposition haiku). These formal-structural and conceptual-semantic properties were associated with systematic changes in how individual poem lines were scanned at first reading and then (selectively) re-sampled in second- and third-pass reading to construct and check global meaning. No such effects were found for one-image (control) haiku. We attribute this pattern to the operation of different meaning resolution processes during the comprehension of two-image haiku, which are invoked by both form- and meaning-related features of the poems.
ONSET OF CONVECTION IN A POROUS CAVITY WITH VERTICAL THROUGHFLOW

Natural convection in porous layers with throughflow has been considered by many authors as it is of considerable interest in a wide range applications [1-8]. The purpose of this paper is to investigate the development of convection under two typical boundary conditions, namely the isothermal and isoflux conditions. The onset of convection is first determined by the linear stability theory. The development of convection at supercritical Rayleigh numbers is next investigated by solving the complete set of governing equations. It is found that the development of natural convection under the effect of throughflows is due to subcritical instabilities, in agreement with both the linear stability and energy stability theories.
Penerapan Prototype Model Kampanye Indonesia Dermawan Pada Aksi Cepat Tanggap (Act)

Teknologi ditambah kemanusiaan dapat menjadi sebuah keajaiban utuk menolong sesama manusia bahkan sesama mahluk hidup. Sejak tahun 2005 berdiri hingga kini organisasi Aksi Cepat Tanggap (ACT) selalu mengembangkan suatu solusi dalam bidang kemanusiaan. Indonesia Dermawan merupakan salah satu ide yang diusung di akhir tahun 2019 dengan bentuk kampanye kemanusiaan dapat membantu manusia lain yang membutuhkan dengan penyaluran donasi lebih cepat. Dengan adanya penelitian ini mempunyai tujuan menyediakan wadah berupa aplikasi web kampanye kemanusiaan yang dapat diajukan perorangan maupun kelompok yang ingin membuat kampanye untuk meminta pertolongan atau membantu orang lain. Model Prototype dipilih sebagai pendekatan atau metode yang dipakai untuk perancangan perangkat lunak dengan harapan dapat menghasilkan purwarupa yang memberikan penyamaan persepsi dan pemahaman akan proses dari aplikasi yang dirancang. Sehingga komunikasi yang baik akan tercipta antara pengembang dan pengguna sistem. Penelitian ini akan menghasilkan purwarupa dari aplikasi web Indonesia Dermawan yang diusung oleh ACT diakhir tahun 2019.
Identification of Abusive Sinhala Comments in Social Media using Text Mining and Machine Learning Techniques

With the technology revolution, most of the natural languages that are used all over the world have won the digital world. Therefore, people use modern technologies such as Social Media and the Internet with their native languages. As a result, people who are with self-ego on their tradition, race, caste, religion and other social factors, tend to make abusiveness on others who do not belong to the same social group by their native languages. Since the Social Media platforms do not have centralized control, it has become a good platform to advertise their backward ideas without being governed and monitored. The Sinhala language has also been added to most famous Social Media platforms. Though the Sinhala language has more than 2500 years of history, it does not have rich resources for computer-based natural language processing. Therefore, it has been a very difficult task to automatically detect Sinhala abusive comments which are being published and shared among Social Media platforms. Therefore, here, we have used evenly distributed 2000 Sinhala comment corpus among offensive and neutral classes to train three different models: Multinomial Naive Bayes (MNB), Support Vector Machine (SVM) and, Random Forest Decision Tree (RFDT) and the features were extracted from Bag of Word model, word n-gram model, character n-gram model, and word skip-gram model to automatically detect Sinhala abusive comments. After the training process, each model was tested with 200 evenly distributed comment corpus and MNB showed the highest accuracy of 96.5% with 96% average recall for both character tri-gram and character four-gram models. Further, two lexicon-based approaches called cross-lingual lexicon approach and corpus-based lexicon approach were considered to detect Sinhala abusive comments. From these two lexicon based approaches, the corpus-based lexicon gave the highest accuracy of 90.5% with an average recall of 90.5%.
MgO‐induced defence against bacterial wilt disease in Arabidopsis thaliana

M. Ota, K. Imada, K. Sasaki, H. Kajihara, S. Sakai and S. Ito* Department of Biological and Environmental Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515; Research Center for Thermotolerant Microbial Resources (RCTMR), Yamaguchi University, Yamaguchi 753-8515; and Yamaguchi Prefectural Agriculture and Forestry General Engineering Center, Yamaguchi, Yamaguchi 753-0214, Japan; and Ube Material Industries, Ube, Yamaguchi 755-0043, Japan
Molecular characterization of the wild relatives of wheat using CAAT-box derived polymorphism

Abstract A molecular assessment of genetic diversity was performed on a set of 228 selected accessions belonging to the different Aegilops and Triticum species using CAAT-box derived polymorphism (CBDP) markers. Fifteen CBDP primers generated 141 polymorphic fragments with an average of 9.40 per primer. The average of polymorphic information content and resolving power revealed a high efficiency of CBDP markers in analyzing genetic diversity among different wheat genotypes. The diversity indexes including polymorphic loci percent, number of observed and effective alleles, Shannon’s index and gene diversity among different populations were 76.24%, 1.67, 1.49, 0.42 and 0.28, respectively. These essentially coincided with the analysis of molecular variance results, indicating that 86, 68, and 59.46% of genetic variation were found within two Aegilops and Triticum genera and their populations, respectively. Genetic relationships inferred from cluster analysis was matched with STRUCTURE analysis, disclosing the accessions were grouped based on their genomic constitution. Furthermore, these results were confirmed by principal coordinate analysis (PCoA). Taken together, our results suggest that CBDP markers will be useful for genetic diversity assessment in the domesticated and wild relatives of wheat.
5 The Fidelity of Retroviral Reverse Transcriptases

The reported rate at which mutations are generated in retroviruses ranges from 10 −6 to 10 −4 mutations per nucleotide per cycle through a host cell (Batschelet 1976; Leider et al. 1988; Pathak and Temin 1990). Hyper-mutagenesis in spleen necrosis virus (SNV) (Pathak and Temin 1990) is one special case where the rate is even higher, 10 −2 . Such mutation rates are considerably higher than those of DNA-based microbes (Drake 1991), which range from 10 −7 to 10 −11 mutations per nucleotide per generation. Analogous to the situation in DNA-based organisms, retroviral diversity presumably results from several competing forces (Drake 1991), including the disadvantage of deleterious mutations, the advantage of rapid adaptation to a changing environment in the host, and the cost in terms of the energy required to avoid or eliminate mutations. Three different replication systems operate during the life cycle of a retrovirus. The reverse transcriptase (RT) polymerizes deoxyribonucleotides, first using viral RNA and then the newly made complementary strand DNA as a template. Cellular DNA polymerases replicate the integrated viral DNA. Finally, RNA polymerase II transcribes the proviral DNA into RNA genomes that are packaged into virions. Although it is possible for mutations to be introduced into the viral genome during any one of these replication steps, much attention has focused on the subject of this chapter, i.e., the fidelity of DNA synthesis catalyzed by RTs. We begin this review by describing the steps that determine fidelity during DNA polymerization reactions, and then we consider several models for how DNA polymerases make.
Electromagnetic rotation of a liquid metal sphere or pool within a solution

A liquid metal electric motor including a pair of concentric ring electrodes, permanent magnet and electrolyte solution is demonstrated. A liquid metal galinstan sphere, along with a NaOH solution, is stimulated to rotate centrifugally around the central electrode and the rotating speed increases with the voltage. The NaOH solution serves to rapidly remove the oxide on the liquid metal surface, reduce the motion friction and provide impetus to the liquid metal. As the mass of the liquid metal is increased to 12.16 g to form a kidney-like body, its rotating speed appears more controllable and the effect of the electrolytic action in the NaOH solution becomes weak in the range of 0–1.82 V. As the mass of the liquid metal is increased to 18.20 g to form a circular ring-shaped body, the ideal voltage range for controlling the rotating motion of the liquid metal is 0–0.81 V. The metal fluid rotates at a speed of 1.9 r.p.m. , even at an extremely low voltage of 0.03 V. The liquid metal electric motor established here can find important applications in chip cooling, liquid metal pumps, material mixing, soft machine realization, etc.
Synergistic anticancer effect of combining metformin with olive (Olea europaea L.) leaf crude extract on the human breast cancer cell line MCF-7

Breast cancer is one of the most prevalent cancers among women globally. Several in vitro studies have shown that Metformin and Olive (Olea europaea L.) Leaf extract have anticancer activity when applied separately. This study investigates the impact of combining Metformin and olive leaves extract on MCF7 cancer cells. Extraction executed with Soxhlet using different solvents. Viability of MCF-7 cells following treatments were determined using MTT. Combinations were quantified using Chou and Talalay method. Expressions of TP53, BAD, BAX, CASP8, and Tristetraprolin were quantified using qPCR. Results show that various combination ratios elicited better antitumor effects on MCF-7 than singly. qPCR results show that Metformin acts through p53-independent apoptosis whereas Olive Leaf crude extract may have a different killing mechanism. In conclusion, the study shows for the first time that combining Olive Leaf extract with Metformin can significantly reduce viability of MCF-7 through a strong synergistic inhibitory effect.