Miracle-dz/UniFAR-FTUs huggingface dataset:
First Report of the Complete Genome Sequences of Anemone Mosaic Virus and Ranunculus Mild Mosaic Virus Isolated From Anemone Imported From the Netherlands

The anemone mosaic virus (AnMV) and ranunculus mild mosaic virus (RanMMV) infects the anemone plant with characteristic mosaic patterns on leaves. Two complete genome sequences of the two viruses imported from the Netherlands, were determined based on deep sequencing for the first time. Each of AnMV and RanMMV had 9,698 and 9,537 nucleotides (nt), excluding the poly(A) tail. They shared 80.0% nt/amino acid (aa) sequence identities or more, which are above the species demarcation value, with only AnMV and RanMMV reported previously in coat protein region, but having 68.0% nt/aa sequence identities or less with other potyviruses in each coding region of the complete sequences. Additionally, phylogenetic analysis showed that AnMV and RanMMV were included in other known potyviruses. These results suggest that both of AnMV and RanMMV were independent species belonging to the genus Potyvirus.
Molecular recognition of parallel quadruplex [d-(TTGGGGT)]4 by mitoxantrone: binding with 1 : 4 stoichiometry leads to telomerase inhibition

The interaction of mitoxantrone (MTX), an anticancer drug, with parallel stranded tetra-molecular G-quadruplex DNA [d-(TTGGGGT)]4 has been studied using Surface Plasmon Resonance (SPR), thermal melting profiles, absorption, nuclear magnetic resonance and Circular Dichroism (CD) spectroscopy. Mitoxantrone binds to G-quadruplex DNA with the affinity constant KA ∼ 3 × 104 M−1 and the binding stoichiometry of the mitoxantrone : DNA quadruplex complex is found to be 4 : 1. The DNA melting (Tm) experiments show that binding leads to an increase in Tm indicating the thermal stabilization of DNA. Tm increases with D/N, that is, the ratio of added mole equivalents of mitoxantrone (D) to DNA (N) and saturates at D/N = 4.0 yielding total ΔTm = 26 °C. Proton and phosphorus-31 chemical shifts show that the base pairs of DNA do not open to allow intercalation of a mitoxantrone chromophore. The 2D NOESY spectra reveal that mitoxantrone binds as a stacked dimer having head to tail (anti-parallel) orientation at two opposite ends externally to the DNA quadruplex. CD spectra show the induced CD band of mitoxantrone having exciton splitting at 630–690 nm. The TRAP assay gives IC50 ∼ 2 μM for inhibition of telomerase by mitoxantrone, which may be attributed to thermal stabilization of the DNA quadruplex. The present study suggests that a dimer formed by stacking of two mitoxantrone molecules might provide highly specific molecular recognition between ligands and a parallel stranded G-quadruplex and hence serve as a platform for rational design of new G-quadruplex groove binders.
The Unstable Relationship Between the Precipitation Dipole Pattern in the Tibetan Plateau and Summer NAO

Substantial progress has been made in understanding the relationship between summer precipitation in the Tibetan Plateau (TP) and North Atlantic Oscillation (NAO), but impacts of the summer NAO on precipitation spatial pattern remain controversial. Using the long‐term observational and reanalysis datasets, we have identified the intimate relationship between summer NAO and TP precipitation dipole pattern has been weakened since the late 1990s. Changes in regional atmospheric circulation induced by the asymmetrical wave propagation structure along the Eurasian continent are responsible for this weakened linkage. Further analyses revealed that the wave propagation anomalies are mainly induced by interdecadal change of summer NAO, which is attributed to the Atlantic multidecadal oscillation (AMO) variations. Moreover, the model simulations derived from the Geophysical Fluid Dynamics Laboratory (GFDL AM2.1) provide direct evidence to demonstrate that the AMO phase transition contributes to the unstable relationship between the summer NAO and precipitation dipole pattern in the eastern TP.
Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3

Automatic detection and counting of crop circles in the desert can be of great use for large-scale farming as it enables easy and timely management of the farming land. However, so far, the literature remains short of relevant contributions in this regard. This letter frames the crop circles detection problem within a deep learning framework. In particular, accounting for their outstanding performance in object detection, we investigate the use of Mask R-CNN (Region Based Convolutional Neural Networks) as well as YOLOv3 (You Only Look Once) models for crop circle detection in the desert. In order to quantify the performance, we build a crop circles dataset from images extracted via Google Earth over a desert area in the East Oweinat in the South-Western Desert of Egypt. The dataset totals 2511 crop circle samples. With a small training set and a relatively large test set, plausible detection rates were obtained, scoring a precision of 1 and a recall of about 0.82 for Mask R-CNN and a precision of 0.88 and a recall of 0.94 regarding YOLOv3.
Poverty alleviation model in communities peatland areas of Jambi Province

This research was aimed to analyze the poverty alleviation model in communities peatland areas of Jambi Province. The research design was a cross-sectional and conducted in two selected districts in Jambi Province, namely: Tanjung Jabung Timur and Tanjung Jabung Barat Districts. This research was conducted from July to December 2018. Data collection was carried out by writing a structured questionnaire consisting of family characteristics, family income, social capital, and household resource management. The number of respondents was 180 households, which was taken by simple random sampling. The data collected will be tested with a descriptive approach and SEM with the Linear Structural Relationship (LISREL) program. The results showed that the income of the community in the peatland area of Jambi Province was Rp. 4,781,000,000, - or income sufficiently. The results of the analysis show that social capital and family resource management have a positive and significant effect on food security and poverty alleviation. Therefore, the poverty alleviation model in peatland areas is by utilizing social capital resources and managing family resources.
Markov Regime Switching-Garch Modeling On World Oil Prices

This study aims to explain and test the performance of the best forecasting model for world oil prices. The world oil price is included in a time-series data type that has high volatility and different variants at each point in time. Precise and precise time-series modeling of this type of data is required to properly explain structural changes and explain any shift in volatility. The method that is applied and produces the best model in describing world oil prices is the Markov Regime Switching-GARCH. Modeling results can be used as alternative data for investor’s consideration for determining their investment decisions.
The Impact of Training on Teamwork and Simulated Debriefings on Real-Life Cardiopulmonary Arrest Events

Background Prior to the study, debriefings post-real-life cardiopulmonary arrest at the associated hospital were conducted only 3% of the time. However, debriefings post-cardiopulmonary arrests are recommended by multiple entities to improve team performance. Methods A course on teamwork, education on a structured method of debriefing, and debriefing practice via simulated role-play were provided to resuscitation team members. A prospective, mixed methods study including team member perceptions of debriefings and the number of debriefings conducted post-cardiopulmonary arrests were measured after the intervention. Results Debriefings increased from 3% to 39%. Debriefings were valued by all team members. Themes generated from team members’ comments included improvement, communication, and team function. Conclusions Debriefings post-real-life cardiopulmonary arrest events are feasible in a hospital setting. Teamwork principles training with simulated role-play of debriefing can impact the process of whether debriefings occur and are highly regarded by multidisciplinary team members.
Process optimization and thermal risk analysis for 1,3,5-trihydroxy-2,4,6-trinitrobenzenen synthesis

1,3,5-Trihydroxy-2,4,6-trinitrobenzene (TNPG) is an important precursor material for high-performance explosive 1,3,5-triamino-2,4,6-trinitrobenzene (TATB). In this work, TNPG was synthesized by nitration of phloroglucinol (PG) using the nitrating agent of ammonium nitrate (AN) and sulfuric acid (H2SO4) mixture. The reaction rate and thermodynamics of the nitration reaction was studied. On the basis of a series of reaction calorimetry experiments and thermal stability tests, the feeding sequence and reaction temperature were optimized. The feed sequence of dosing PG/H2SO4 solution into the AN/H2SO4 solution is better than the opposite feed sequence. The best reaction temperature is at 5°C. The highest yield of ˜93% TNPG was obtained. In addition, the thermal risk analysis revealed that the thermal risk at the optimal operating condition was low.
Measuring software quality with usability, efficiency, and portability characteristics

The paper aims to measure the quality of the “Application of software cost estimation (AoSCE)” produced by the author in the previous study. The quality characteristics measured include usability, efficiency, and portability using the ISO 9126-1 standard. The measurement results indicate that the three characteristics are good, but the usability characteristics still need improvement. The interesting of this paper is that testing procedures and worksheets can be applied to measure the quality of other software by adjusting the conditions of the test object.
Evaluation of Strategies of Key Categories of Actors in the Functioning of the Free Port of Vladivostok and Other Development Programs of the Far East Based on the Determination of the Value of Expected Future Losses and Acquisitions

Internationalization of the world trade and severe competition for the position in global value chains stimulate countries all over the world to create special economic zones (SEZ). For the Russian Far East, the SEZ are the major element of fostering industrial growth and overall economic development. There are Free Port of Vladivostok, Territories of Advanced Economic Development and other development programs created to ensure inflow of investors into the economy of the macro-region. The state offers both tax deductions for up to 10 years and direct budget expenditures for creating infrastructure for the future project sites. Natural consequence of that is the problem of very different financial efficiency of potential projects and dire need to sort or filter those projects that will, probably, be mutually beneficial both for investor and for the state budget from those that, again probably, will benefit only one party or even fail for both. We started from applying standard mechanisms of project evaluation, based on sum of the discounted cash flows comparing to discounted investments, and then enrich it with instruments of working with probable events to make it more flexible. Then based on real-options approach, we show an anticipated cash-flow as the representation of project’s efficiency and create strategy matrix for private and public parties of the cooperation.
Use of whey Paneer Cheese as a New Dilute for Bovine Semen Cryopreservation

This study aimed to determine the utilizing whey resulting from making paneer cheese as a diluent for bovine semen. Semen was collected from 5 Friesian bulls, pooled, divided into three portions, and diluted (1:10) with three extenders; Tris-soybean lecithin (TSL), whey (W0), or whey+5% egg yolk (WEY), then equilibrated (5C for 4 h), and frozen (-196C). Semen was evaluated for progressive motility (PM), live sperm (LS), acrosome integrity (AI), abnormality (AB) and curled tail (CT) after dilution,equilibration and thawing using Computer Assisted Semen Analyzers (CASA) system. Results revealed that percentages of PM, LS, AI and CT of spermatozoa were higher (P<0.50), and AB percentage was lower (P<0.05) with WEY-extender than in other extenders either postdilution or post-equilibration. In post-thawing semen evaluated by CASA, WEY-extender improved (P<0.05) percentages of progressive motility, total motility, rapid progress motility, functional sperm, and sperm immotility as compared to other extenders. WEY and W0 extenders increased (P<0.05) Linearity (LIN) compared with TSL extender. Straight line velocity (VSL) and straightness (STR) were higher (P<0.05) with WEY than TSL-extender, while did not differ between WEY and TSL-extender. Percentages of normal morphology form, abnormality in head, neck, and dual deformation, as well as teratozoospermic and sperm deformity indices were lower (P<0.05) in WEY-extender than in other extenders. Conclusion: Sperm freezability in Friesian bull semen can be improved during cryopreservation by using whey+5% egg yolk extender, as a promising extender, in comparing with whey without egg yolk and tris-citrate extenders.
Relaxing Method in the Evaluation of MPPT of Photovoltaic Cells Based on MIT Modeling

Received: 28 October 2020 Accepted: 4 January 2021 A relaxation method is proposed to determine the maximum power point tracking of a small to medium powered photovoltaic module, based on the non referenced MIT model, with analytical evaluation of the maximum power of the generated voltage. In implementing this algorithm, there is no need for continuous online measurements of temperature or irradiance, which are the most used variables used in the evaluation of the I-V relationship of PV cells. The method has the advantage of adequate accuracy without any oscillations, compared with certain conventional methods. The method can track accurately the maximum power point under changes in atmospheric conditions and load variations, by referring it with the MIT model.
Real-time classification on oral ulcer images with residual network and image enhancement

With the advances of deep learning research in the past few years, healthcare and smart medicines have been signiﬁcantly developed. Inspired by the wide application of deep learning in medical image classiﬁcation and disease diagnosis, this paper further proposes a variant of the Residual Network framework to classify the oral ulcer images in real-time. In particular, image pre-processing and enhancement techniques are used to enrich the datasets and reduce model overﬁtting. Besides, the transfer learning is further introduced into the residual blocks to improve the classiﬁcation accuracy, with the later layers trained from the labeled datasets. To validate the performance of authors’ proposal, it is compared with other classic deep learning models with respect to the classiﬁcation sensitivity, speciﬁcity, and accuracy. The experimental results show that authors’ approach outperforms those classic classiﬁcation networks when the oral ulcers are classiﬁed and diagnosed in real-time.
In situ fluorescence/photoacoustic monitoring of diatom algae

Photosynthetic single-celled diatom algae, due to their unique structure and properties, represent promising candidates for various applications in technology and biomedicine. These nanostructured objects, enveloped within a silica cell wall called a frustule, play a significant role in Earth’s ecology. In this study, we proposed new techniques for monitoring the growth of diatoms—in situ fluorescence measurements using the IVIS imaging system and photoacoustic measurements with a raster scanning optoacoustic mesoscopy (RSOM) setup. Two different diatom cultures, Achnanthidium sibiricum and Encyonema silesiacum, were cultivated under the optimal conditions in the incubator and monitored over the period of 70 days. Our results showed that the total radiant efficiency increases with increasing incubation time for E. silesiacum. Simultaneously, for A. sibiricum it slightly decreases after 56 days, indicating that diatoms were at the end of their exponential growth phase. The photoacoustic signal from E. silesiacum was lower than from A. sibiricum, which is in good agreement with spectroscopic characterization results. The IVIS imaging system made it possible to assess the growth and viability of diatom cells without compromising cell integrity. In contrast, photoacoustic imaging has proved to be suitable for the rapid detection and thorough in situ assessment of the density of diatom colonies due to the presence of light-absorbing chromophores. These methods can be used to monitor the growth of diatoms and facilitate the harvesting of bioactive substances derived from diatoms for pharmaceutical and biomedical purposes.
Generalised Tapped Inductor Switcher (GTIS) approach to modelling of high‐order converters

A generalized modelling technique suited to integrated and high order Pulse-Width-Modulation (PWM) topologies is studied and proposed here. Most integrated converters have their switches shared by more than one inductive element. The proposed generalised tapped inductor switcher model takes full account of the properties of the shared switcher assembly and so extends the capabilities of the earlier tapped inductor switcher model. The proposed generalised tapped inductor switcher can accommodate both voltage and current switched inputs and thus can model a wide range of high-order PWM topologies. The topology of the GTIS block is proposed and its static and small-signal models are derived. The proposed approach is illustrated by analysing a tapped inductor Single Eneded Primary Inductor converter. The validity of the proposed approach is veriﬁed by comparison of the theoretical, simulated and experimental results.
Exploring the role of experience in L2 teachers’ turnover intentions/occupational stress and psychological well-being/grit: A mixed methods study

Abstract The present mixed methods study examined the relationships among Iranian English as a Foreign Language (EFL) teachers’ turnover intentions, occupational stress, psychological well-being, and grit in light of their teaching experience. The participants of the study were a total of 325 EFL teachers (138 novice and 187 experienced). To collect the data, four instruments of occupational stress, turnover intentions, grit, and well-being were administered to the participants, followed by semi-structured interviews with 20 teachers. Data analyses indicated that the novice and experienced teachers’ occupational stress/turnover intentions and grit/psychological well-being were significantly correlated. The results also revealed that the strength of relationship between occupational stress/turnover intentions and grit/psychological well-being is significantly higher for novice teachers than the experienced teachers. The analysis of the interviews indicated that while occupational stress collectively influences the teachers’ identity, emotions, and retaining in the profession, their well-being was largely defined in light of various institutional and socio-economic factors. The results of the study are discussed and implications for teacher education are provided.
Diverting the phase transition behaviour of adipic acid via mesoporous silica confinement

Manipulating the phase transition behaviour of phase change materials (PCMs) to a favorable range is an urgent issue which poses a considerable challenge to their widespread application, since PCMs with desirable operational temperatures and high efficiency are very few in practice. An attempt to address this puzzle is presented by confining adipic acid in silica scaffolds through an impregnation method. Three different nanoscale chambers – 2D-hexagonal silicas MCM-41 and SBA-15, and 3D-silica mesoporous foam (MCF) – were employed. In this way, novel form-stable PCMs were developed, which acquired size-dependent thermal behaviour. The evolution of thermal behaviour as a function of pore size was investigated. Phase transition temperature (Tm) deviations presented a strong linear relationship with inverse pore sizes, conforming to the modified Gibbs–Thomson equation. Enthalpy changes (ΔHm) shared the same trend with Tm, as pore sizes decreased, while the variation of phase transition temperatures (ΔTm) was in the opposite direction. Unlike the bulk state, the phase transition temperature of adipic acid in a confined space could be regulated over 90 °C. The maximum thermal storage efficiency was 72% with respect to the confined acid content. Thus, the solid–liquid phase transition behaviour of adipic acid in a confined space could be altered, and the manipulation of thermal behaviour was achieved.
Plasma sprayed LSGM electrolyte for intermediate temperature solid oxide fuel cells

A strontium-and-magnesium-doped lanthanum gallate (LSGM) electrolyte was processed into a thick film ranging from 100 - 550 μm using a plasma spray technique, followed by post heat-treatment at elevated temperatures (500 - 800°C). The processed LSGM electrolyte was characterized in terms of its (1) physical properties including phase purity, crystallinity, density, and (2) electrochemical properties, including open circuit voltage, ionic conductivity, and ac impedance. The electrochemical properties of the plasma sprayed LSGM were also compared with press-and-sintered LSGM pellets. The as-sprayed electrolyte exhibited a single LSGM phase in a mixture of amorphous and crystalline states. The amorphous phase can completely transform into a crystalline phase at temperatures up to 800°C as revealed by the XRD and impedance studies. The successful processing of LSGM using an industrial plasma spray technique offers a potential opportunity for fabrication of solid oxide fuel cells (SOFCs) for intermediate temperature applications (500 - 800°C).
Models for forecasting water demand using time series analysis: a case study in Southern Brazil

Technology has been increasingly applied in search for excellence in water resource management. Tools such as demand-forecasting models provide information for utility companies to make operational, tactical and strategic decisions. Also, the performance of water distribution systems can be improved by anticipating consumption values. This work aimed to develop models to conduct monthly urban water demand forecasts by analyzing time series, and adjusting and testing forecast models by consumption category, which can be applied to any location. Open language R was used, with automatic procedures for selection, adjustment, model quality assessment and forecasts. The case study was conducted in the city of Joinville, with water consumption forecasts for the first semester of 2018. The results showed that the seasonal ARIMA method proved to be more adequate to predict water consumption in four out of five categories, with mean absolute percentage errors varying from 1.19 to 15.74%. In addition, a web application to conduct water consumption forecasts was developed.
Reduced-Order Modelling with Domain Decomposition Applied to Multi-Group Neutron Transport

Solving the neutron transport equations is a demanding computational challenge. This paper combines reduced-order modelling with domain decomposition to develop an approach that can tackle such problems. The idea is to decompose the domain of a reactor, form basis functions locally in each sub-domain and construct a reduced-order model from this. Several different ways of constructing the basis functions for local sub-domains are proposed, and a comparison is given with a reduced-order model that is formed globally. A relatively simple one-dimensional slab reactor provides a test case with which to investigate the capabilities of the proposed methods. The results show that domain decomposition reduced-order model methods perform comparably with the global reduced-order model when the total number of reduced variables in the system is the same with the potential for the offline computational cost to be significantly less expensive.