Miracle-dz/UniFAR-FTUs huggingface dataset:
Method of remote determination of humus content in soils of grape agrocenoses in southern regions of Russia

The article discusses methods for analyzing soil fertility in grape agrocenoses based on determining the value of the humus content by remote methods based on the analysis of spectral characteristics of soils. The study was carried out using laboratory photography with a digital camera and satellite multispectral equipment. It is shown that the considered methods for determining the humus content in the soil are highly accurate, which makes it possible to apply them to create an automated system for monitoring the state of soils.
Application of Variational Mode Decomposition and Deep Learning in Short-Term Power Load Forecasting

Accurate load forecasting of power system operation and development is of great significance. Because of the power load time series has strong nonlinear, the traditional forecasting model does not apply. Therefore, a short-term load forecasting model based on variational model (VMD) and length (LSTM) is proposed. Firstly, the VMD decomposes the original load sequence to get the modal of different size frequency component. Then, phase space reconstruction (PSR) organizes the modal components into deep learning inputs. Then, the LSTM network is employed to predict each group of modal components. Finally, all the modal component predictive value addition to the power load to predict the future. The experimental results show that compared with the BP, LSTM and EEMD - LSTM model, the model completely weakens the non-stationary load sequence, minimize the prediction error, reached the highest prediction accuracy.
Effect of sample geometry on the macroscopic shear deformation of the titanium alloy Ti-10V-2Fe-3Al subjected to quasi-static and dynamic compression-shear loading

We investigate the evolution of shear bands in a Ti-10V-3Fe-2Al alloy with three different initial microstructures: solution-annealed β-titanium, β-titanium with primary α-phase precipitates as well as a condition with primary and secondary α-phase precipitates. Quasi-static and dynamic testing of compression-shear specimens with strain rates of 10-3 s-1 and 102 s-1 is performed at room temperature. The influence of two different sample geometries on the macroscopic shearing tendency is investigated: samples with a cylindrical cross section and samples with a square cross section. The results of digital image correlation and the nominal stress-strain behavior under quasi-static and dynamic loading indicate a stronger localization tendency of the aged conditions with additional α-phase precipitates compared to the solution-annealed pure β-condition. Our results also demonstrate that compression-shear testing with samples with a square cross-section reduces facet loss, increases the resolution even at high strain rates and therefore allows to analyze strain distributions during shear band formation and propagation with higher accuracy.
The GERG-2008 Wide-Range Equation of State for Natural Gases and Other Mixtures: An Expansion of GERG-2004

A new equation of state for the thermodynamic properties of natural gases, similar gases, and other mixtures, the GERG-2008 equation of state, is presented in this work. This equation is an expanded version of the GERG-2004 equation. GERG-2008 is explicit in the Helmholtz free energy as a function of density, temperature, and composition. The equation is based on 21 natural gas components: methane, nitrogen, carbon dioxide, ethane, propane, n-butane, isobutane, n-pentane, isopentane, n-hexane, n-heptane, n-octane, n-nonane, n-decane, hydrogen, oxygen, carbon monoxide, water, hydrogen sulfide, helium, and argon. Over the entire composition range, GERG-2008 covers the gas phase, liquid phase, supercritical region, and vapor–liquid equilibrium states for mixtures of these components. The normal range of validity of GERG-2008 includes temperatures from (90 to 450) K and pressures up to 35 MPa where the most accurate experimental data of the thermal and caloric properties are represented to within their accura.
Agriculture developement based on regional potency in kulonprogro regency

Agriculture sector has important role in the economic stabilization from micro to macro level, it has quite strong role in the bottom level of peoples’ economic especially in the rural or marginal area. Indonesian agriculture is still dominated by food production such as rice, maize, cassava, peanut and soybean. These commodities can be consumed by farmers or can be sold, this reason make these are popular to be planted. This research aims to determine the programs to develop agriculture in Regency Kulonprogo, Yogyakarta. Cluster analysis was used to determine the development program based on potential commodity each area. Potential commodity was analyzed with location quotient analysis (LQ). Results show that paddy wetland, paddy dryland and peanut have average above one, it means these commodities have potency to be developed. Maize, cassava and soybean in average does not show LQ above one, but in some subdistricts show above one. 12 subdistricts were grouped by their similarity in to three clusters. Cluster 1 has similarity in rice wetland, non-agriculture land, agriculture shop, bank, cooperation, high school, higher school and farmers group. Cluster 2 has similarity in rice wetland, uneducated people, and non-farmers occupation. And cluster 3 has similarity in rice dryland, market, farmers’ occupation and basic school. Based on the LQ and cluster, the programs for developing agriculture are increasing human resource quality, organization and facilities.
All-Optical Tuning of Au Nanocluster Functionalized Microfibre Coil Resonator

An all-optical tunable microfibre coil resonator (MCR) functionalized using Au nanoclusters (AuNCs) was investigated and demonstrated. The MCR was manufactured by winding tapered fibre on a hollow rod of low refractive index polycarbonate (PC) resin to form a fluidic channel, and the AuNCs aqueous solution was injected into the channel to complete the functionalization process. The resonance wavelength and extinction ratio can be tuned using a pump laser with wavelength of 808 nm due to the photo-thermal effect and photon generated carriers from strong absorption of AuNCs at 808 nm, resulting light-matter interaction and providing all-optical tuning properties, including variations of resonance wavelength and extinction ratio. The variation rate of the resonance wavelength and extinction ratio were determined as 69 pm/mW and 0.459 dBm/mW. The response times of the MCR functionalized with the AuNCs are 11.99 s (rising) and 11.41 s (falling). The AuNCs functionalized MCR has several advantages compared to other tunable resonator devices, including easy fabrication, high tuning efficiency, low cost and all-fibre construction.
Sustainable Development Goals for settlement around Lapindo mudflow

The Lapindo mudflow in the Porong area, Sidoarjo Regency has been 14 years old since it first occurred on May 29, 2006. The biggest loss from the Lapindo mudflow is the damage to infrastructure and residents’ homes which has an impact on the slowing down of Sidoarjo’s economy. One of the efforts made by the government is to establish a National Action Plan (RAN) for disaster risk reduction (PRB) as an effort to achieve the Sustainable Development Goals (SDGs). Considering that the Lapindo mudflow is still active and the expiration time cannot be estimated, a long-term management strategy is needed in settlements around the location that are adaptive to the existence of the disaster. The research was carried out using qualitative-descriptive methods. Data collection techniques are carried out by interview, observation and documentation study. The data obtained is then matched with the indicators for assessing the Sustainable Development Goals (SDGs). The results of the research will provide insights in the form of settlement strategies carried out by local governments and communities as part of sustainable development in accordance with the conditions of their respective regions.
The Complex Gaseous and Stellar Environments of the Nearby Dual Active Galactic Nucleus Mrk 739

We present integral field spectroscopic observations of the nearby (z ∼ 0.03) dual active galactic nuclei (AGNs) Mrk 739, whose projected nuclear separation is ∼3.4 kpc, obtained with the Multi Unit Spectroscopic Explorer at the Very Large Telescope. We find that the galaxy has an extended AGN-ionized emission-line region extending up to ∼20 kpc away from the nuclei, while star-forming regions are more centrally concentrated within 2–3 kpc. We model the kinematics of the ionized gas surrounding the eastern nucleus using a circular disk profile, resulting in a peak velocity of 237−28+26kms−1 at a distance of ∼1.2 kpc. The enclosed dynamical mass within 1.2 kpc is logM(M⊙)=10.20±0.06 , ∼1000 times larger than the estimated supermassive black hole (SMBH) mass of Mrk 739E. The morphology and dynamics of the system are consistent with an early stage of the collision, where the foreground galaxy (Mrk 739W) is a young star-forming galaxy in an ongoing first passage with its background companion (Mrk 739E). Since the SMBH in Mrk 739W does not show evidence of being rapidly accreting, we claim that the northern spiral arms of Mrk 739W are ionized by the nuclear activity of Mrk 739E.
Development of e-learning content in educational program evaluation courses

This study aimed at developing learning products that can be used to overcome some of the problems that exist in the Education Program Evaluation course at the Masters level education, namely creating content that can be applied or applied to the e-learning platform of the Ganesha University of Education, so that learning activities can be assisted by the use of technology, and to find out the feasibility of the content that has been created. The method used in this research was the ADDIE model method which consists of Analyze, Design, Development, Implemenation, and Evaluation. The type of data in this study was quantitative data or data presented in the form of numbers. The instrument used in data collection was a questionnaire in the form of a questionnaire. The percentage result of the evaluation of the content expert test of the learning material was 98.07% or stated “Very Good”. The results of the assessment by instructional media experts, e-learning learning content obtained a percentage of 93.05%. which when converted states that the learning content applied to e-learning media was “Very Good”. The results of the target test assessment stated that the e-learning learning content was “Very Good” with a percentage of 93.2%. Based on the results of this assessment, the e-learning learning content is declared suitable for use.
Validity of student worksheet inquiry based learning model with multi-representation approach integrated scientific literacy for grade XI physics learning on 21st century

Student worksheet is a learning resource that guides student during investigations or problem solving. Learning activities will be successful if they are carried out with the right learning model and learning approach as well as supporting literacy skills. Based on the analysis of the needs and characteristics of student, and the limitation of previous validation studies, student worksheet based on the inquiry-based learning model with an integrated multi-representation approach to scientific literacy can be a problem solution. The purpose of this study was to produce a worksheet based on an inquiry based learning model with an integrated multi-representation approach to scientific literacy in valid category. This research method uses descriptive statistics. The instrument was used a validation sheet filled out by experts. The validity of student worksheet obtains on the feasibility of content, presentation, language and graphic components. The average of the four components of student worksheet validation was 0.81 by development experts. In this way, it can be said that student worksheet inquiry-based learning model with an integrated multi-representation approach of scientific literacy is in valid category.
Towards data mining benchmarking: a test bed for performance study of frequent pattern mining

Performance benchmarking has played an important role in the research and development in relational DBMS, object-relational DBMS, data warehouse systems, etc. We believe that benchmarking data mining algorithms is a long overdue task, and it will play an important role in the research and development of data mining systems as well. Frequent pattern mining forms a core component in mining associations, correlations, sequential patterns, partial periodicity, etc., which are of great potential value in applications. There have been a lot of methods proposed and developed for efficient frequent pattern mining in various kinds of databases, including transaction databases, time-series databases, etc. However, so far there is no serious performance benchmarking study of different frequent pattern mining methods. To facilitate an analytical comparison of different frequent mining methods, we have constructed an open test bed for performance study of a set of recently developed, popularly used methods for mining frequent patterns in transaction databases and mining sequential patterns in sequence databases, with different data characteristics. The testbed consists of the following components.A synthetic data generator, which can generate large sets of synthetic data in various kinds of data distributions. A few large data sets from real world applications will also be provided. A good set of typical frequent pattern mining methods, ranging from classical algorithms to recent studies. The method are grouped into three classes: frequent pattern mining, max-pattern mining, and sequential pattern mining. For frequent pattern mining, we will demonstrate Apriori, hashing, partitioning, sampling, TreeProjection, and FP-growth. For maximal pattern mining, we will demonstrate MaxMiner, TreeProjection, and FP-growth-max. For sequential pattern mining, we will demonstrate GSP and FreeSpan. A set of performance curves. These algorithms their running speeds, scalabilities, bottlenecks, and performance on different data distributions, will be compared and demonstrated upon request. Some performance curves from our pre-conference experimental evaluations will also be shown. An open testbed. Our goal is to construct an extensible test bed which integrates the above components and supports an open-ended testing service. Researchers can upload the object codes of their mining algorithms, and run them in the test bed using these data sets. The architecture is shown in Figure 1. This testbed is our first step towards benchmarking data mining algorithms. By doing so, performance of different algorithms can be reported consistently, on the same platform, and in the same environment. After the demo, we plan to make the testbed available on the WWW so that it may, hopefully, benefit further research and development of efficient data mining methods.
Research on Fatigue Phenomenon and Internal Mechanism of HfZrO2 Ferroelectric Thin Film Memory

The fatigue effect of the HfZrO2 thin film sample plays a vital role in its application in the semiconductor field. This article explores the fatigue mechanism inside the thin film sample by studying the effect of various experimental conditions on the ferroelectric properties of the sample, and analyzes the experimental results. Then we study the experimental results to clarify the changes in the micro-physical mechanism inside the sample.Combined with macro-theory and micro-examination, we observe that experimental conditions such as the pulse width of the applied pulse will affect the change of the sample’s remnant polarization values during the fatigue cycle. Finally, we try to optimize these conditions to achieve stable remanent polarization. This paper further clarifies the fatigue mechanism of the sample through the mathematical analysis of experimental data and the comparison of existing theories, and points out the direction for optimizing the application of the device.
Structural Analysis of LiNi0.7Mn0.3O2 as Cathode Material for Rechargeable Lithium-Ion Batteries

The layered rock salt LiNi0.7Mn0. 3O2 was prepared by conventional solid-state synthesis route. The prepared samples were analysed using X-ray diffraction (XRD) to determine purity of samples. Then, structural analysis and crystallographic properties of samples were analysed using Rietveld refinement. Rietveld refinement results indicated that the amount of cation disorder in the layered rock salt structure highly influenced by temperature and synthesis conditions. The most optimum temperature to obtain the highest degree of cation ordering is between 850oC and 900oC in air.
Assessment of Dietary Intake of Pre-School Children (4-6 Years) Belonging to Slum Areas of Ludhiana

Micronutrient deficiencies in the early part of life may lead to severe health hazards in the later life. Unawareness regarding nutrition, poverty, ignorance and illiteracy in the slum areas leads to less intake of nutrients than recommended and aggravates the health problems to great extent. A study group belonging to low socio economic status residing in slum areas aged (4-6 years) was selected for their daily food and nutrient intake. General information, family history, dietary habits, food and nutrient intake was obtained using a questionnaire. Macronutrient intake of the subjects portrayed a surplus intake of protein and fat in comparison to RDA but micronutrient deficient intakes of the study group was seen. Intake of energy, β-carotene, thiamine, riboflavin, niacin, folic acid, ascorbic acid, iron, calcium and zinc was less than recommended intake. Less intake of nutrients were observed to be due to the less average food intake of all the food groups among the subjects.
Analysis of validity and practicality test of physics enrichment e-book based on CTL and enviromental factor

Teaching in the 21st century should have context, use multiple learning resources, and use ICT. This teaching will support the attention, involvement, and motivation of students. However, learning resources for physics enrichment and the use of ICT in physics teaching were still limited. The solution to this problem is to develop a physics enrichment e-book. The research objective was to determine the validity and practicality of the physics enrichment ebook on the theme of motion. This research method can be categorized into research and development. The development model in this research was included in the ADDIE model. The research instrument consisted of two parts, namely the validity assessment questionnaire sheet from the experts and the practicality assessment questionnaire sheet from the physics teachers and students. The research data were analyzed using descriptive statistics. From the results of data analysis, it can be stated that two results from this research. First, the validity of the physics enrichment e-book can be classified into a very good category in the aspects of learning material, presentation, language, graphics, and e-book criteria. Second, the practicality of using physics enrichment e-books based on CTL and environmental factor can be included in the very good category according to both physics teachers and students in the aspects of usability, easy of use, appealing, and clarity. Therefore, physics enrichment e-book based on CTL and environmental factor has met the high generic quality criteria of intervention in the components of validity and practicality.
Validation of Stereophotoclinometric Shape Models of Asteroid (101955) Bennu during the OSIRIS-REx Mission

NASA’s OSIRIS-REx mission to asteroid (101955) Bennu relied on the production of real-time shape models for both spacecraft navigation and scientific analysis. The primary method of constructing shape models during the early phases of the mission was image-based stereophotoclinometry (SPC). The SPC shape models were used for operational planning, navigation, sample site selection, and initial scientific investigations. To this end, detailed analyses of the quality of each shape model and a thorough documentation of all sources of error were vital to ensure proper considerations of the limitations of each model. In this paper, we present methods used during the OSIRIS-REx mission to validate the SPC shape models and construct the associated quality reports. Although developed for the OSIRIS-REx mission, these validation techniques can be applied to SPC-derived shape models of other planetary bodies.
Static and dynamic panel models: Which is better? (Case study: Poverty data in Indonesia 2012-2019)

Indonesia’s poverty rate continues to decline from year to year; however, the decline in the percentage of poor people is slowing down continuously, following the law of diminishing returns. Many factors influence poverty, including HDI, Gini ratio, and the open unemployment rate. This study model static and dynamic panel data on Indonesia’s poverty cases in 2012-2019 to explain the relationship between HDI, Gini ratio, and the unemployment rate to poverty. It also compares poverty modeling with static and dynamic panel data regression. The results show that the Gini ratio has a significant and positive relationship to poverty. HDI has a significant and negative relationship to poverty. However, there is insufficient evidence to suggest that unemployment affects poverty. Using static panel data regression, the selected model is a fixed effect model but still experiences violations of the classic autocorrelation assumption. The dynamic panel data model gives better results than the static panel data regression model when viewed from the r-square value and the number of variables that significantly affect. From the results of this study, it can be implemented that an increase in economic growth without an increase in equity has no impact on poverty. So, it needs extra efforts by the government in economic equality for all regions of Indonesia. Also, there is a need for additional actions by the government and the community to improve education, health, purchasing power, and community competitiveness.
Foraging Ecology of Birds in Mudflat Area of Tanjung Laboh, Johor

Tanjung Laboh is located in one out of three Important Bird Areas (IBAs) in Johor called South West Johor Coast which is very crucial foraging ground for resident and migratory shorebirds. However, the airfield development plan located in the area have been an issue as it might disturbed the foraging ecology of the shorebirds. Therefore, it is necessary to analyse the food resources present and the foraging behaviour of the shorebirds in order to determine the effect of disturbance towards the shorebirds’ foraging behaviour. Thus, a study was conducted for a month (July to August 2018) in the mudflat area of Tanjung Laboh to identified the time spent of foraging, food selection and foraging technique of shorebirds by using direct observation method. A total of 212 observations were recorded during sampling period. No significant differences were found in time spent foraging between the bird species, (F = 0.18, p = 0.946). A Spearman Rank Correlation proved that there is no significant relationship between the time spent of foraging and the number of preys taken by each species (R = 0.436, p > 0.05). Based on observation, fish is the most preferred diet choice among bird species which counts a total of 57% followed by unknown (20%), worm (19%) and bivalve (4%). Significant correlation was found between the abundance of bird and the frequency of disturbances (humans, dogs and vehicles) (p < 0.05) while human contribute to a higher percentage in disruptions towards the species studied (57.7%). The responses of the birds towards the disturbances were varied in this study, however the birds tend to choose foraging ground far from disturbance area as the disturbances might chase birds’ prey away thus reduce their feeding rate. By understanding how the shorebirds response toward disturbance, the conservation action can be enforced in the future.