Miracle-dz/UniFAR-FTUs huggingface dataset:
HYDROTHERMAL SYNTHESIS OF TITANIA POWDERS AND THEIR PHOTOCATALYTIC PROPERTIES

Titanium dioxide, also known as titania is the naturally occurring oxide of titanium. We will find TiO2 in all kinds of paint, printing ink, plastics, paper, synthetic fibers, rubber, condensers, painting colours and crayons, ceramics, electronic components along with food and cosmetics. Many studies have been published on the use of TiO2 as a photocatalyst for the decomposition of organic compounds. Photocatalytic activity (PCA) is the ability of a material to create an electron hole pair as a result of exposure to ultraviolet radiation. The resulting free-radicals are very efficient oxidizers of organic matter. Photocatalytic activity in TiO2 has been extensively studied because its potential use in sterilization, sanitation, and remediation applications. The ability to control PCA is important in many other applications utilizing TiO2 including paint pigments and cosmetics that require low PCA. The photocatalytic activity of titania results in thin coatings of the material exhibiting self cleaning and disinfecting properties under exposure to UV radiation. These properties make the material a candidate for applications such as medical devices, food preparation surfaces, air conditioning filters, and sanitaryware surfaces. Nanocrystalline anatase [1] powders with particle sizes from 8 to 38 nm have been synthesized by hydrothermal treatment of aqueous TiOSO4 solutions and TiO2.xH2O amorphous gel. In the next work [2], anatase-type TiO2, which was stable up to 800°C, was successfully synthesized from TiOSO4 under hydrothermal condition at 180°C and its photocatalytic activity through the decomposition of methylene blue in aqueous solution as a function of calcination conditions was studied. Photocatalytic activity of anatase [3] powders was discussed in the relation to their crystallinity. Anatase powders were synthesized under hydrothermal condition at 180°C from TiOSO4 aqueous solution with 0.1-3.0 mol/l concentration and then annealed at high temperatures above 700°C. Titania samples rich in brookite [4] were prepared under hydrothermal conditions by starting from TiCl3 as titanium precursor. Nanocrystalline titania with particle size 20-50 nm and specific surface area 20-80 m/g was prepared by hydrothermal treatment of aqueous solution TiOSO4, H2TiO(C2O4)2 and TiO(NO3)2 solutions[ ]. The photocatalytic behavior of synthesized TiO2 powders was studied in the reaction of phenol photodegradation in water and optimal characteristics of these materials are explored. The best photocatalytic activity was observed for a mixture of rutile (15 %) and anatase (85 %) prepared by high-temperature hydrolysis of aqueous TiOSO4 solution. Nanocrystalline zirconia and titania [6] were synthesized by hydrothermal treatment of zirconyl ZrO(NO3)2 and titanyl TiO(NO3)2 nitrates aqueous solutions and amorphous gels of the corresponding hydroxides, the hydrothermal synthesis was performed in the range of temperatures 150-250°C. NanocrysOriginal papers
IOTA: A Cryptographic Perspective

IOTA is an open-source distributed ledger protocol that presents a unique juxtaposition to the blockchain-based Bitcoin. Instead of using the traditional blockchain approach, IOTA stores individual transactions in a directed-acyclic graph (DAG) called Tangle. IOTA claims that this allows several benefits over its blockchain-based predecessors such as quantum-proof properties, no transaction fees, fast transactions, secure data transfer, and infinite scalability. Currently standing at 16th place in the CoinMarketCap, it topped 7 during the height of the bullish period of late 2017. Given these claims and attractions, this paper seeks to analyze the benefits and how they create vulnerabilities and/or disadvantages compared to the standard blockchain approach. Based upon our findings, we will discuss the future of IOTA and its potential of being a viable competitor to blockchain technology for transactions.
Polymerases of Coronaviruses: Structure, Function, and Inhibitors

Viral diseases are widespread throughout the world and can range from minor infections to plagues that alter the course of history. The burden of diseases induced by viral infections is enormous, with most of the deadly infectious diseases being caused by viral infections. Among the viruses, coronaviruses (CoVs; subfamily Coronavirinae, family Coronaviridae, order Nidovirales) represent a major group of viruses known to be responsible for respiratory, enteric, hepatic, and neurological diseases in multiple species (Pene et al., 2003; Woo et al., 2009; Chan et al., 2012). The CoVs affecting human population are referred to as human coronaviruses (HCoVs). They lead to multiple respiratory diseases, such as common cold, pneumonia, and bronchitis (Lim et al., 2016). This century has seen rapid evolution of HCoVs, the contributory factors being urbanization and poultry farming. These factors allowed crossing of species barrier and genomic recombination of these viruses (Jones et al., 2013). Six HCoVs have been identified so far, namely severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1. The latter four viruses (HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1) are mainly responsible for one-third of common cold infections in human, which in severe cases can lead to life-threatening pneumonia and bronchitis
Sensitivity and Uncertainty Analysis of the Maximum Fuel Temperature under Accident Condition of HTR-PM

The maximum fuel temperature under accident condition is the most important parameter of inherently safe characteristics of HTR-PM, and the DLOFC accident may lead to a peak accident fuel temperature. And there are a variety of uncertainty sources in the maximum fuel temperature calculations, and thus the contributions of these uncertainty sources to the final calculated maximum fuel temperature should be quantified to check whether the peak value exceed the technological limit of 1620°C or not. Eight uncertainty input parameters are selected for inclusion in this uncertainty study, and their associated 2 standard deviation uncertainties and probability density functions are specified. Then, the DLOFC thermal analyses and uncertainty analysis are performed with the home-developed ATHENA and CUSA. The numerical results indicate that the pebble-bed effective conductivity and the decay heat contribute the most of the uncertainty in the DLOFC maximum fuel temperature while this peak fuel temperature is most sensitive to the initial reactor power and the decay heat. In short, uncertainties in these selected eight parameters lead to the two standard deviation (2σ) uncertainty of ±77.6°C (or 5.2%) around the mean value of 1493°C for the maximum fuel temperature under DLOFC accident of HTR-PM. At the same time, the LHS-SVDC method of CUSA is recommended to propagate uncertainties in inputs and 100–200 model simulations seem to be sufficient to get an uncertainty prediction with full confidence.
PACMAN: Psycho and Computational Framework of an Individual (Man)

Several models have tried to understand the formation of an individual’s distinctive character i.e. personality from the perspectives of multiple disciplines, including cognitive science, affective neuroscience and psychology. While these models (for eg. Big Five) have so far attempted to summarize the personality of an individual as a uniform, static image, no one model comprehensively captures the mechanisms which leads to the formation and evolution of personality traits over time. This mechanism of evolving personality is what we attempt to capture by means of our framework. Through this study, we leverage the Abhidhamma tradition of Buddhism to propose a theoretical model of an individual as a stochastic ﬁnite state machine. The machine models moment to moment states of consciousness of an individual in terms of a formal ontology of mental factors that constitute any individual. To achieve an empirical evaluation of our framework, we use social media data to model a user’s personality as an evolution of his/her mental states (by conducting some psycho-linguistic inferences of their Facebook (FB) statuses). We further analyze the user’s personality as a composition of these recurrent mental factors over a series of subsequent moments. As the ﬁrst attempt to solve the problem of evolving personality explicitly, we also present a new dataset and machine learning module for analysis of mental states of a user from his/her social media data.
Control Region Sequencing of Hyper Variable Segment Ii (HVSII) of Mitochondrial DNA and its Genetic Relationship in Asholio and Atakar Ethnic Group of Nigeria

Africa contains the most genetically divergent group of continental populations and several studies have reported that African populations show a high degree of population stratification. In this regard, it is important to investigate the potential for population genetic structure or stratification of some ethnic groups. Nigeria is one of the West Africa countries that took part in the human history since the dawn of modern man. The population of Nigeria is composed of Asholio and Atakar ethnic groups in the southern part of Kaduna state. DNA genetic marker such as HVII region of the mitochondrial DNA of a sample population of Asholio and Atakar ethnic group was used to get population genetic parameters. Buccal cells of 40 unrelated male individuals, 20 from each ethnic group was extracted using the protocol describe by Bioneer AccuPrep® Genomic DNA extraction kit. DNA samples extracted were analyzed and HVS-II sequences were amplified and purified. Sequencing for the light strand was done followed by sequence alignment, restriction fragment length polymorphism (RFLP) and single nucleotide polymorphism (SNP) analysis. Nucleotide positions 73-340 for HVS-II were compared to the revised Cambridge Reference Sequence (rCRS) and 40 haplotypes were observed with haplotypic diversity of 0.9431 for Asholio and 0.9560 for Atakar. A total of 80 polymorphic sites characterized the haplotypes. All of the haplotypes found have been described in other West African populations of the world. The haplotypes frequencies were used to calculate FST. Mitochondrial DNA haplogroups present in Africans were represented in the two ethnic groups. The genetic diversity of Asholio was 0.9143 and Atakar, 0.9145. The calculation of FST (0.003) for the two ethnic groups suggests no difference between them. In order to understand the expansion of the haplotypes of mitochondrial DNA in West Africa, the studied population was compared with neighbor populations. Some African ethnic groups were grouped and the Asholio and Atakar ethnic groups were next to the west African populations. Therefore we can suggest that the populations geographically related and those with the same language (West Africa) are genetically similar, corroborating the fact that these mtDNA marker can be used in the inquiry of the recent history of a population.
The Differences between Metaphor and Metonymy on the Cognitive Level and the Cases Study

Cognitive metaphor and cognitive metonymy not only have modifying functions, but also are related to thinking. Cognitive linguistics holds that metaphor and metonymy are important means for us to expand our thinking. We can automatically and unconsciously obtain these modes of thinking metaphor and metonymy, and use metaphor and metonymy for thinking. From the perspective of cognitive linguistics, this paper explores two important ways of thinking: metonymy and metaphor, which are rooted in people’s basic experience and constitute our daily thinking and action. Communication is restricted by the principles of information, economy, cognitive salience and social needs. The speaker either uses the knowledge structure in the source domain to highlight the knowledge structure in the target domain, that is, he uses metaphor, or chooses the highlighted and easily perceived part to replace the whole or other parts of the whole; and uses the whole with Gestalt perception to represent the information to be conveyed, that is, he uses metonymy to communicate. Therefore, the meaning beyond the discourse comes into being.
Geological, Geophysical and Geochemical Analysis of Parang Wedang Geothermal System, Yogyakarta, Indonesia

In Parangtritis Village, Kretek District, Bantul Regency, Special Region of Yogyakarta, there are geothermal manifestations, i.e. hot springs with temperature 47C and 49C known as "Pemandian Air Panas Parang Wedang". The existence of the hot springs is an indicator of the availability of geothermal systems beneath the surface. It encourages research to model the Parang Wedang geothermal system, which could be defined as non-volcanic geothermal systems in Indonesia. This research aims to interpret the types of rocks, which act as reservoir and heat source, structural control, fluid characteristic and temperature reservoir of the Parang Wedang geothermal system. The main method used is a geophysical method, i.e. geomagnetic method. The other methods such as geological methods (including field mapping and petrographic analysis) and geochemical methods using geoindicator trilinear diagram and geothermometer. From the data processing of 3G (Geology, Geophysics, and Geochemistry), the rocks that act as a reservoir is breccias. Breccia is permeable and has a high porosity and exists at a depth of 600 metres from the surface. The heat source is estimated from the Miosen Parangtritis volcanoes that covered the Parang Wedang area. The measured structure control is the normal-sinistral fault (N23E / 59, 22 SW), which is oriented relatively Northeast-Southwest, which could be the fluid pathways of The Parang Wedang hot spring. Characteristics of reservoir fluid geothermal system Parang Wedang are neutral chloride water. From the geothermometer analysis, it can be concluded that the reservoir temperature is around 115C, which could be categories as a low-temperature geothermal system.
Parsing as Tagging

We propose a simple yet accurate method for dependency parsing that treats parsing as tagging (PaT). That is, our approach addresses the parsing of dependency trees with a sequence model implemented with a bidirectional LSTM over BERT embeddings, where the “tag” to be predicted at each token position is the relative position of the corresponding head. For example, for the sentence John eats cake, the tag to be predicted for the token cake is -1 because its head (eats) occurs one token to the left. Despite its simplicity, our approach performs well. For example, our approach outperforms the state-of-the-art method of (Fernández-González and Gómez-Rodríguez, 2019) on Universal Dependencies (UD) by 1.76% unlabeled attachment score (UAS) for English, 1.98% UAS for French, and 1.16% UAS for German. On average, on 12 UD languages, our method with minimal tuning performs comparably with this state-of-the-art approach: better by 0.11% UAS, and worse by 0.58% LAS.
Model Repurchase Intentions: Analysis of Brand Awareness, Perceived Quality, Brand Association, and Brand Loyalty (Case Study Private Label on Store Alfamidi In Tangerang)

The existence of products with private label brands is a priority for the ritailer, because in addition to helping to increase the number of visits and sales in the store, it can also increase customer loyalty. The rapid development of private labels can be seen from the increasing number of types of private label products being marketed. But the development of sales of private label products at Alfamidi in 2017 is still not satisfactory and tends to stagnate. The condition of the consumption level of Alfamidi's private label products is still low, even though the company has approached various promotional activities. In this study is to obtain a model of repurchase intention and to know the effect of brand awareness, brand association, perceived quality, brand loyalty on the intention to repurchase private label products . This research was conducted with a quantitative approach and data collection techniques for questionnaires surveying 100 respondents at the Alfamidi research site in Tangerang City. The results showed that there was a significant influence between brand awareness, brand association, perceived quality, brand loyalty towards the intention to repurchase private label products . However, there is a negative relationship between brand awareness and repurchase intention. The contributions of the four variables amounted to 47.4% towards the intention to repurchase. This indicates that there are still 52.6% of other variables that are factors in influencing the intention to repurchase . This indicates that the brand is not a major consideration for consumers in buying private label products at Alfamidi stores . There are other factors such as products, prices, places, promotions and distribution channels.
Neural processing of degraded speech using speaker’s mouth movement

Previous studies reported that visual speech cues enhance speech perception ability, but the critical contribution of the brain areas to successful AV integration for degraded speech is still unclear. To clarify this, we performed an fMRI study on word perception, using noise vocoded speech with clips showing a speaker’s face. We recruited 17 right-handed healthy adults, who were presented short video clips in which a Japanese male read aloud Japanese 3-mora nouns. The sounds were noise vocoded at 16 and 32 bands. The experimental conditions were designed as a 2x2 factorial design, crossing Modality (audio-only, A / audio-visual, AV) and Intelligibility (16 / 32 -bands). In both AV and A conditions, the sound and the clip were presented, but in the A conditions the speaker’s mouth was blurred. During fMRI scanning, the participants were instructed to choose one word from a forced-choice probe with four alternatives after they listened/watched the sound and clip. Trial time courses in each model were estimated in the posterior STS, the lip motor area, and the inferior frontal gyrus in the left hemisphere. Behavioral data revealed that successful AV integration improved participants’ performance, in line with previous studies. Imaging data showed that the brain network associated with speech processing activated differently in time-course depending on both the modality and intelligibility of speech perception.
3D Tomography using Efficient Wavefront Picking of Traveltimes

To reduce human labor in picking traveltimes in 3D data, first-arrivals are picked geographically on coarsely-sampled time-slices of the recorded shot gathers. Traveltime picks are interpolated in real-time in the polar coordinates to minimize the number of picks needed to track curved wavefronts. The picked firstarrival traveltimes are used in ray tomography to form an initial model for FWI. Results indicate an 80% reduction in human picking time compared to standard picking in the shot gather or common offset domains.
Early Maladaptive schemas and Premenstrual syndrome in mothers with postpartum depression

Background: Mood disorders constitute a prevalent problem during the postnatal period. Nonetheless, there is not adequate information on the underlying mechanism of postpartum depression (PPD). Objectives: Therefore, this study aimed to investigate the role of early maladaptive schemas (EMSs) and premenstrual syndrome (PMS) in mothers with postpartum depression (PPD) referring to health centers in Mashhad. Methods: To carry out this cross-sectional study purposeful sampling was used to select 179 mothers who referred to health centers in Mashhad during February, March, and April of 2018 and met the relevant criteria of the study as the participants. Participants completed Young‟s Early Maladaptive Schema, Premenstrual syndrome (PSST) and the Edinburgh Depression Scale. Descriptive statistics and stepwise regression analysis were used to analyze the data with SPSS version 20. Results: The participants ranged in age from 19 to 41 and their mean age was 29.7±8/7. This group of participants consisted of 106 mothers who had experienced their first delivery, 42(24.4%) mothers who had experienced their second delivery, and 24(14%) mothers who had experienced their third delivery. The results revealed that PMS (P<0/001; r=0.56) and EMSs (P<0/05; r=0.65) had significant correlations with PPD. PMS and EMSs together predicted 42% of the variance of PPD. Conclusion: The findings of this study suggest that PMS and EMSs affect mothers‟ PPD.
Effect of multiple pouring on the accuracy of casts made using 3D-printed custom trays with different spacer thicknesses: A research study

Background. This study aimed to evaluate the effect of different pouring times and spacer thicknesses on the three-dimensional accuracy of casts made of 3D-printed custom trays. Methods. A partial edentulous maxillary model was scanned for fabricating custom acrylic trays. Twenty custom trays were created using a CAD/CAM system and divided into two groups in terms of their spacer thicknesses (2 mm and 4 mm). All the trays were designed with 2-mm thickness, multiple retentive holes measuring 2 mm in diameter, and three interior seating stops (two on the edentulous ridge and one on the incisal edge of the central incisors). Impressions were made using monophasic polyvinyl siloxane and poured in two different times (one hour and 24 hours after removal) with type IV dental stone. All the casts were scanned to measure three distances (inter-buccal cusps, inter-palatal cusps, and inter-fossa distances) between the two first premolars. The data were analyzed with two-way ANOVA and Bonferroni test at a significance level of 0.05. Results. There was no significant difference between the 3D accuracy of casts made using two different spacer thicknesses poured at 1-hour and 24-hour intervals. However, there was a difference between casts made after 1 hour and 24 hours when using custom trays with 2 mm of spacer thickness in terms of inter-buccal distance. Conclusion. There was no significant difference between the accuracy of casts made using custom trays with either 2 or 4 mm of spacer thickness, which were poured 1 hour or 24 hours after tray removal.
MVC-induced short- term potentiation of explosive force

% ^ /n numerous sports and sport events performance is, to a great extent, determined by the level of speed-strength. An optimal preparation (worm-up) is necessary to achieve the highest possible realization of speed-strength in training and competition. Some top international athletes ore said to have produced the highest speed and speed-strength performances immediately after having performed a few Maximal Voluntary Contractions (MVCs). However, os yet no target-oriented and systematic studies of MVCs. as an element of warm-up programmes, have been conducted. Therefore the focus of the following study is on the following questions: (1) To what extent can the short-term potentiation of speed-strength induced by MVCs be considered us a general effect? (2) Can effects of post-tetanic potentiation be triggered in human beings by MVCs? (3) To what extent Is there a connection between possible short-term increases in speed-strength and neuronal effects of post-tetanic potentiation? The results of two complex training experiments show that MVCs carried out during the warm-up can really lead to a considerable increase In speed-strength performances of the lower extremities in alt athletics sprint and jumping events and of the upper extremities in the shot put and the throws, m ^