Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Relation between Diffuse Bands and Other Interstellar Features

We discuss possible relations between different constituents of interstellar clouds, such as gas atoms (Fe i), simple molecular species (CH, CN), and the carriers of the puzzling diffuse interstellar bands (DIBs 5780, 5797, 5850 Å) as well as dust grains. We exemplify that abundances of carriers of these spectral features, revealed by the Doppler components, may be astonishingly poorly related to each other. Spectra of interstellar clouds seem to be sensitive to the changes of the environmental parameters such as density, temperature, and irradiation from nearby stars. The diffuse bands’ carriers likely do not occupy the same volumes with CH, CN, or Fe i and/or are much less sensitive to the processes related to the formation/destruction of these species.
Smart magnetic nanopowder based on the manganite perovskite for local hyperthermia

For many medical applications related to diagnosis and treatment of cancer disease, hyperthermia plays an increasingly important role as a local heating method, where precise control of temperature and parameters of the working material is strongly required. Obtaining a smart material with “self-controlled” heating in a desirable temperature range is a relevant task. For this purpose, the nanopowder of manganite perovskite with super-stoichiometric manganese has been synthesized, which consists of soft spherical-like ferromagnetic nanoparticles with an average size of 65 nm and with a narrow temperature range of the magnetic phase transition at 42 °C. Based on the analysis of experimental magnetic data, a specific loss power has been calculated for both quasi-stable and relaxation hysteresis regions. It has been shown that the local heating of the cell structures to 42 °C may occur for a short time (∼1.5 min.) Upon reaching 42 °C, the heating is stopped due to transition of the nanopowder to the paramagnetic state. The obtained results demonstrate the possibility of using synthesized nanopowder as a smart magnetic nanomaterial for local hyperthermia with automatic heating stabilization in the safe range of hyperthermia without the risk of mechanical damage to cell structures.
Social Media Marketing Relations, Brand Awareness to Brand Loyalty Through The Brand Image

The increasing number of hospitals built by both private and government parties requires a hospital to be ready to compete both in competing with domestic hospitals and in competing with international hospitals. This study aims to analyze the effect of social media marketing activities, brand awareness of RSIA X on the brand loyalty of outpatients in the midwifery section with brand image as an intervening variable. This study uses a quantitative approach, survey methods and correlation techniques with a non-experimental design using a cross-sectional study approach with a sample of 160 patients who are outpatient in the obstetrics department of RSIA X and become a follower in social media accounts of RSIA X. Social media marketing activities, brand awareness are independent variables. Brand image is an intervening variable and brand loyalty is a dependent variable. This study uses a questionnaire using a Likert scale while testing data analysis using SEM. The results showed a social media marketing and brand awareness had a positive and significant effect on brand loyalty mediated by brand image.
Nuclear Energy for a Low-Carbon-Dioxide-Emission Transportation System with Liquid Fuels

Abstract The two major energy challenges for the United States are to replace crude oil in our transportation system and reduce greenhouse gas emissions. A multilayer strategy to replace oil using nuclear energy and various carbon sources (fossil fuels, biomass, or air) is described that (a) allows the continued use of liquid fuels (ethanol, gasoline, diesel, and jet fuel) in the transport sector, (b) does not require major changes in lifestyle by the consumer, and (c) ultimately eliminates carbon dioxide emissions from the transport sector. Nuclear energy is used to provide electricity, heat, and ultimately hydrogen, with the hydrogen produced by either electrolysis or more advanced thermochemical production methods. In the near term, nuclear energy can provide low-temperature heat (steam) for ethanol production and electricity for transportation. Midterm options include low-temperature heat and limited quantities of hydrogen for processing cellulosic biomass into liquid fuels (ethanol and lignin-derived hydrocarbons) and providing high-temperature heat for (a) traditional refining and (b) underground oil production and refining. In the longer term, biomass becomes the feedstock for liquid-fuels production, with nuclear energy providing heat and large quantities of hydrogen for complete biomass conversion to hydrocarbon fuels. Nuclear energy could be used to provide over half the total energy required by the transportation system, and the use of oil in the transport sector could potentially be eliminated within several decades.
EFFECT OF MACROECONOMIC VARIABLES ON JAKARTA ISLAMIC INDEX: EVIDENCE THE GLOBAL TRADE WAR PHENOMENON

The development of investment in the Islamic capital market, especially the Jakarta Islamic Index (JII) as a percentage, experienced significant development, and it is because the Islamic index uses Islamic principles and procedures. The phenomenon of the trade war between the United States and China has an impact on macro variable fluctuations, which can empirically influence the growth of the sharia index. For this reason, this study aims to analyze the impact of change due to the trade war sentiment. Macroeconomic variables used in this study are the USD / IDR exchange rate, the CNY / IDR exchange rate, inflation, Crude oil WTI, and ICP Crude oil. This study uses a vector autoregression analysis (VAR) technique. Stationarity test using the Augmented Dickey-Fuller test (ADF test) and the Philips-Perron Test. The analysis shows that there is an influence between changes in exchange rates and changes in crude oil prices on the return of the Jakarta Islamic Index (JII) in the range of research data periods used.
Model building and simulation for intelligent early warning of long-distance oil & gas storage and transportation pipelines based on the probabilistic neural network

In order to solve the potential safety hazard of long-distance oil and gas pipelines, an intelligent early morning warning model is constructed and simulated based on probabilistic neural network in this paper. The backpropagation (BP) networks and the probabilistic neural networks (PNNs) are used to process the collected abnormal data and build the early warning model. The early warning model is simulated for its accuracy in the computer and its feasibility is verified. The intelligent early warning model is built, preparing the groundwork for the subsequent generalization and application.
Spatiotemporal Variation and Climate Influence Factors of Vegetation Ecological Quality in the Sanjiangyuan National Park

The Sanjiangyuan National Park is the first Chinese national park system, and the ecological environment is inherently fragile and sensitive. Therefore, for environmental protection, it is imperative to understand the spatiotemporal variation characteristics of the ecological quality of vegetation and its climate influence factors. We used the MODIS normalized difference vegetation index (NDVI) dataset, meteorological dataset, and Carnegie–Ames–Stanford Approach (CASA) model to investigate the spatiotemporal patterns and change trends of the NDVI and the net primary productivity (NPP) of the vegetation in the Sanjiangyuan National Park from 2000 to 2016. A linear regression model was used to explore the influence of the ecological quality of vegetation and climatic factors. The results showed that (1) the NDVI and NPP were high in the southeast area and low in the northwest area. The Yangtze River headwater region had the lowest NDVI (0–0.3) and NPP (0–100 gC/m2). The Lancang River had the highest NDVI (0.4–0.8) and NPP (100–250 gC/m2). (2) From 2000–2016, approximately 23.46% of the area showed a significant positive trend of the NDVI that was mainly distributed in the prairie areas in the midlands and the north of the Yangtze River headwater region, and was scattered in the midlands and the north of Yellow River headwater region. Furthermore, 24.32% of the NPP was determined to have increased significantly, which was mainly distributed in the midlands and the north of the Yangtze River headwater region, as well as the midlands and the east of the Yellow River headwater region. (3) The vegetation growth in the Sanjiangyuan National Park was regulated by both water and heat conditions. The NDVI was significantly affected by precipitation during the growing season and by the annual precipitation. In addition, the NPP was significantly affected by temperature during the growing season and by the annual average temperature of the study area.
Giant Concentric Metallosupramolecule with Aggregation-Induced Phosphorescent Emission.

Fluorescent metallosupramolecules have received considerable attention due to their precisely controlled dimensions as well as the tunable photophysical and photochemical properties. However, phosphorescent analogues are still rare and limited to small structures with low-temperature phosphorescence. Herein, we report the self-assembly and photophysical studies of a giant, discrete metallosupramolecular concentric hexagon functionalized with six alkynylplatinum(II) bzimpy moieties. With a size larger than 10 nm and molecular weight higher than 26 000 Da, the assembled terpyridine-based supramolecule displayed phosphorescent emission at room temperature. Moreover, the supramolecule exhibited enhanced aggregation-induced phosphorescent emission compared to the ligand by tuning the aggregation states through intermolecular interactions and significant enhancement of emission to CO2 gas.
The impact of flooding on Nigeria’s sustainable development goals (SDGs)

ABSTRACT Nigeria has Africa’s biggest economy and a population of over 200 million people. Nigeria faces numerous challenges as it struggles to achieve the Sustainable Development Goals (SDGs) with flooding being the most serious with wide-reaching impacts. This paper highlights the impact flooding has on Nigeria reaching SDGs and enumerates the specific SDGs most directly impacted. A systematic literature review provides an overview of the relationship between flooding in Nigeria and the SDGs. It highlights the main causes of Nigeria’s flooding problem are man-made and advocates spatial planning as a suitable Flood Risk Management (FRM) strategy for the Nigerian environment. The paper calls for collaborative action by all concerned stakeholders to address the flooding problem and to help move Nigeria closer to meeting the United Nations (UN) 2030 SDGs. Most importantly, the evidence presented in this paper seeks to promote action on a national scale to combat the flooding in Nigeria and help the nation work more effectively toward achieving the SDGs.
Classification of Dropouts to Improve Student Re-Engagement: The Case of Chilean Secondary Opportunity Centers

Chile offers high school dropouts a chance to graduate through enrollment in Second Opportunity Centers, located in cities ranging in population from 5 million inhabitants to less than 100,000. Participants in 18 centers were classified into four distinct classes based on their family situation, handicaps, employment, experience with discrimination, and ambitions. Students were compared with respect to their satisfaction with Center activities. Students experiencing instability in their lives, more often in larger cities, were least satisfied. The most successful activity was workshops discussing psychological and social issues. Some activities failed to attract any of the four classes of students.
Quantitative Analysis of the Impact of Meteorological Factors on Reference Evapotranspiration Changes in Beijing, 1958–2017

The effects of meteorological factors on reference evapotranspiration (ET0) are variable on different time scales, although research tends to focus only on certain time scales. Therefore, using the meteorological data from 1958 to 2017 of Beijing, China, ET0 values over the last 60 years were calculated using Penman–Monteith method. The variation in ET0 values was thus analyzed against four meteorological factors over different time scales. The sensitivity of ET0 to these factors was assessed using a sensitivity coefficient, while the contribution of each factor to ET0 change was quantified by combining this sensitivity coefficient with the factor’s relative change rate over multiple time scales. The results showed that the sensitivity coefficient of relative humidity over different time scales were all negative, while the sensitivity coefficients of net radiation, temperature and wind speed were mostly positive. The main sensitivity factors of ET0 on different time scales varied. On annual time scales, the main factors were relative humidity and temperature. Over annual time scales, relative humidity and net radiation alternated as the main sensitivity factor; while over interannual time scales, the most sensitive factor was relative humidity during 1958–1979 and net radiation thereafter. The contribution of these four meteorological factors to ET0 also fluctuated greatly on intra-annual time scales. On daily time scales, the contributions of temperature and wind speed at the start and end of the year were large, while net radiation and relative humidity were dominant mid-year. On monthly to seasonal time scales, the contributions of these four meteorological factors to ET0 were notable. The contribution of relative humidity was largest in spring and autumn; net radiation was dominant in summer, while temperature and wind speed were dominant in winter. This research on the temporal variability of ET0 response factors is of great significance for understanding regional climate change.
Tradition, innovation and relationships: emergent profiles from agro-food Italian industry

PurposeThe purpose of this study is to analyze the link between innovation technology (IT), relationships which affect the relational capital (RC), and intangible value for the environment, focusing on small and medium enterprises (SMEs) of agro-food sector (AFS) in which these topics are prominent.Design/methodology/approachThis paper adopts a qualitative research methodology, based on a multiple case study. The empirical data were obtained from interviews designed to reveal the determinants of the Paoloni's CAOS model (characteristics, ambience, organization, start-up) useful to analyze the relational capital from the firm's perspective. The content analysis shows the most important factors influence the relationships of the companies analyzed.FindingsThe empirical analysis highlights the strong link between tradition and innovation in the AFS and its positive effects on corporate sustainability and company relationships as well as in enhancing knowledge. The introduction of ITs and the positive effects it produces in terms of efficiency, product quality, environmental sustainability and new communication channels is an important factor that influences business's relationships.Originality/valueThis paper contributes to the RC literature by stressing how ITs improve not only the executive process and performance of SMEs, but also the intangible resources of the territory. Accordingly, it provides both triggers for future research in the AFS, as well as suggestions to SMEs decision-makers to enhance their competitiveness. Furthermore, the paper offers insights to push policy makers in adopting policies that favor ITs investments in the AFS.
Limiting output voltage of isentropic energy-emissive harvesters

In emissive-energy harvesters, electrons from a hot contact are injected into a colder emitter at the high energy e n and then are extracted from it to another hot contact at the lower energy e p. In this work, we prove that the open-circuit voltage of emissive-energy harvesters can be deduced assuming isentropic electron transport conditions between the cell hot contacts and the emitter. We also show that in real emissive-energy harvesters, where the electronic transport is irreversible, the open-circuit voltage is always more negative than the one obtained assuming reversible conditions. The equations introduced in this work are used to obtain the working properties of energy-emissive harvesters using a model that includes a particle balance. A general conclusion is found in this work: the open-circuit voltages of energy-emissive harvesters calculated in previous works are never reached by real ones.
The impact of climate variability on water footprint components of rainfed wheat and barley in the Qazvin province of Iran*

Due to shortage of precipitation, rainfed farming in Iran is facing numerous challenges. Understanding the impact of climate variables on the production of rainfed crops in each region is of utmost importance for dry farming. Based on 11‐year (2004–2015) data from synoptic stations in the Qazvin province of Iran, a comprehensive simulation analysis was conducted with AquaCrop‐GIS to study the yield and the green and grey water footprint (WF) of the main rainfed crops (wheat and barley) along with the correlation of the target variables (yield and WF components) with the selected climate variables. Based on the estimated values of green and grey WFs, planting of rainfed wheat and barley at Qazvin and Moalem Kalayeh stations with lower total WF will be more beneficial than at other stations. Regression analysis showed that at most stations, reference evapotranspiration had a direct effect on wheat total WF (TWF), while precipitation has a positive effect on barley TWF at Qazvin and Moalem Kalayeh. The regression equation of barley green WF at the Qazvin station showed the highest correlation with climate variables (R2 = 0.98). TWF of wheat and barley at Buin Zahra had the highest correlation with climate variables (R2 = 0.73 and 0.85, respectively). Finally, it was concluded that in arid regions, the variability in TWF of rainfed products is greatly influenced by spatio‐temporal variations of climate variables. © 2020 John Wiley & Sons, Ltd.
Developing an assessment framework of multidimensional scientific competencies

The study aimed to develop and validate an assessment framework of multidimensional scientific competencies for seventh-grade students in the northeastern region of Thailand. A total of 289 samples with three different scientific competency levels were randomly selected to participate as testtakers. The design-based research encompassing four phases of the construct modelling approach, namely construct maps, item design, outcome space, and Wright map. Multidimensional Random Coefficient Multinomial Logit model was employed to examine the quality of the created assessment framework of multidimensional scientific competencies. The results showed that scientific competence is comprised of three dimensions, namely explain phenomena scientifically, evaluate and design scientific inquiry, and interpret data and evidence scientifically. Each dimension can be further categorized into four levels. The assessment framework consists of 16 items. The results revealed that there is validity evidence regarding internal structure based on the comparison of the model fit and Wright map. Moreover, results also indicated that the reliability evidence and item fit are compliance with the quality of the assessment framework as revealed in the analysis of standard error of measurement and infit and outfit of the items. It can be concluded that the assessment framework is currently prevalent to assess the scientific competencies of seventh-grade students.
Model-Based Manipulation of Linear Flexible Objects: Task Automation in Simulation and Real World

Manipulation of deformable objects is a desired skill in making robots ubiquitous in manufacturing, service, healthcare, and security. Common deformable objects (e.g., wires, clothes, bed sheets, etc.) are significantly more difficult to model than rigid objects. In this research, we contribute to the model-based manipulation of linear flexible objects such as cables. We propose a 3D geometric model of the linear flexible object that is subject to gravity and a physical model with multiple links connected by revolute joints and identified model parameters. These models enable task automation in manipulating linear flexible objects both in simulation and real world. To bridge the gap between simulation and real world and build a close-to-reality simulation of flexible objects, we propose a new strategy called Simulation-to-Real-to-Simulation (Sim2Real2Sim). We demonstrate the feasibility of our approach by completing the Plug Task used in the 2015 DARPA Robotics Challenge Finals both in simulation and real world, which involves unplugging a power cable from one socket and plugging it into another. Numerical experiments are implemented to validate our approach.
Disentangling the Effects of Genotype and Environment on Growth and Wood Features of Balfourodendron riedelianum Trees by Common Garden Experiments in Brazil

Intraspecific studies with populations replicated in different sites allow the effects of genotype and environment on wood features and plant growth to be distinguished. Based on climate change predictions, this distinction is important for establishing future patterns in the distribution of tree species. We quantified the effects of genotype and environment on wood features and growth of 30-year-old Balfourodendron riedelianum trees. We used three provenances planted in two common garden experiments with difference in precipitation and temperature. We applied linear models to estimate the variability in wood and growth features and transfer functions to evaluate the responses of these features to temperature, precipitation, and the standardized precipitation evapotranspiration index (SPEI). Our results showed that genotype had an effect on vessels and rays, where narrower vessels with thinner walls and larger intervessel pits, and shorter, narrower and more numerous rays were observed in provenances from drier sites. We also observed the effect of the environment on wood features and growth. Trees growing in the wetter site were taller and larger, and they had wider vessels with thicker walls and lower ray density. Transfer functions indicated that an increase in temperature results in larger vessels with thicker walls, taller and denser rays, shorter and narrower fibers with thinner walls, and lower wood density. From a functional perspective, these features make trees growing in warmer environments more prone to drought-induced embolisms and more vulnerable to mechanical damage and pathogen attacks. Tree growth varied with precipitation and SPEI, being negatively affected in the drier site. Overall, we demonstrated that both genotype and environment affect wood features, while tree growth is mainly influenced by the environment. Plastic responses in hydraulic characteristics could represent important functional traits to mitigate the consequences of ongoing climate change on the growth and survival of the species within its natural range.
THE ACQUISITION OF SWEAR WORDS BY STUDENTS IN CENTRAL KALIMANTAN

Swear words are often associated to inappropriate expressions in all societies. This study investigates the acquisition of swear words by Indonesian students using social media which was designed in descriptive qualitative approach. Data were gathered by questionnaireand interviews method. Result shows that the students tend to use animal terms to swear to show anger to others. Further, friendship becomes the main source of their acquisition of swear words and these students tend to swear among themselves to show intimacy. Moreover, these students admitted that they learnt how to swear from social media and free videos available on-line.