bluuebunny/crossref_metadata_2025_split huggingface dataset:
Problem-based learning and ethnomathematics on mathematical understanding
Authors: Perdana D C , Isrokatun I 
Published: October 2019

Abstract
Mathematical understanding is very important aspect for students in elementary school. However, the mathematical understanding is still low. Innovative learning mathematics is chosen as a solution to improve mathematical understanding by using problem-based learning and ethnomathematics. The purpose of this research is to know how the effect of problem-based learning approach with ethnomathematics on mathematical understanding. The method used in this research was Four-D models which consists of: Defining, Designing, Developing, and Disseminating. The subjects of this research consisted of 83 students from fourth grade elementary school. The selected samples of research will be divided into experimental class and control class. The instruments used were the mathematical understanding test, and student response questionnaire. The result of the research showed problem-based learning and ethnomathematics have a positive effect on mathematical understanding. Problem-based learning and ethnomathematics is better than conventional learning to improve mathematical understanding. The new finding in this research from the questionnaire result was students prefer modern culture rather than local culture.
Elementary school teacher’s understanding on the scientific approach in natural science and mathematics subjects
Authors: Rostika D , Prihantini P 
Published: October 2019

Abstract
This research is motivated by the urgency of applying a scientific approach to be able to equip students’ skills in facing the challenges of 21st century life. With the support of the results of previous research, this research aims to describe the understanding of elementary school teachers about the scientific approach and its implementation in the learning of natural sciences and mathematics subjects. The method of this research applied quantitative descriptive research. To be able to apply the scientific approach, teachers are not only armed with understanding but need to be supported by efforts to find other knowledge that can improve their self-efficacy. Most teachers know the scientific approach, but have not been able to apply the teaching and learning process systematically.
Steady on MHD Heat and Mass Transfer Flow of an Inclined Porous Plate in the Presence of Radiation and Chemical Reaction
Authors: Sandhya A. , Reddy G.V.Ramana , Deekshitulu G.V.S.R. 
Published: October 2019

Abstract
In the present paper steady on MHD heat and mass transfer flow of a viscous incompressible fluid flow through a porous medium in the presence of radiation, heat source and chemical reaction effects are considered. The set of non linear differential equations can be solved analytically. Effects of various parameters like magnetic parameter, permeability parameter, Grashof number, modified Grashof number, radiation parameter, heat source parameter, Prandtl number, Schmidt number, chemical reaction and an angle of inclination on the velocity, temperature and concentration profiles as well as the skin friction, Nusselt number and Sherwood number are discussed qualitatively and shown graphically.
Locally Rotationally Symmetric Bianchi Type-I Cosmological Model in f(R,T) Gravity
Authors: Santhi M.Vijaya , Gusu Daba Meshesha , Rao V.U.M. , Suryanarayana G. 
Published: October 2019

Abstract
In this paper, we have investigated a spatially homogeneous locally rotationally symmetric Bianchi type-I space-time with cosmological term Λ in presence of perfect fluid distribution in f (R,T ) gravity theory. We have derived explicitly the field equations of the theory and obtained the exact solution of field equations by employing a periodic varying deceleration parameter, which is a unique feature of the model. We have also performed the analysis of the model such as the equation of state parameter, pressure, energy density, density parameter and jerk parameter which are significant in the discussion of cosmology. Some physical and geometrical properties of the model have also been discussed along with the graphical representation of various parameters. We obtained the presence of quintessence and phantom regions based on chosen parameters. It is observed that the deceleration parameter exhibits a smooth transition from early deceleration to late time acceleration of the universe and oscillate based on chosen parameters. We have observed that the presented model is compatible with the recent cosmological observations.
Soret and Dufour Effects on MHD Convective Flow Past a Vertical Plate Through Porous Medium
Authors: Dhanalakshmi .M , Jyothi .V , Jayarami Reddy .K 
Published: October 2019

Abstract
The objective of the present paper is to investigate the soret and dufour effect of Kuvshinshiki fluid on MHD free convection flow past a vertical porous plate with heat and mass transfer in the presence of chemical reaction. The velocity, temperature and concentration are obtained by using a perturbation technique. The results have been discussed graphically and numerically for various values of the flow parameters by using Matlab.
Ferro electric, ferro elastic & magneto electric polarizability domain and tensor pairs of magnetite (Fe3O4)
Authors: Surendra Talari 
Published: October 2019

Abstract
The present work is based on group theoretic analysis of crystal structures. Group theory can be employed to a variety of problems in physics and chemistry. It plays a major role in the solution of solid state physics problems. The concept of symmetry plays an important role in our physical environment. The symmetry of a molecule can be used to determine various physical properties of a crystal using group theoretical methods. The applications of magneto-electric devices lie in the regions of millimeter and sub-millimeter wavelengths and in the areas of reducing electrical conductivity, improving dielectric magnetic or magneto-electric properties by solid solutions improving optical quality and obtaining larger crystals. Ferro-electric, Ferro-elastic and magneto-electric polarized domain pairs and tensor pairs are calculated using coset decomposition and double coset decomposition respectively for the crystal magnetite (Fe3O4). While considering Ferro-electric and Ferro-elastic properties only ordinary point group m3m is considered as prototypic point group since they are non-magnetic properties. In case of magneto-electric polarizability grey group m3m1 is taken as prototypic point group.
Some Bianchi Type Bulk Viscous String Cosmological Models in f(R) Gravity
Authors: Santhi M. Vijaya , Naidu T. Ch. , Papa Rao D. Ch. 
Published: October 2019

Abstract
In this paper, we investigate bianchi type II, V III and IX Bulk viscous string cosmological models in the context of f(R) gravity. Here, we obtained the solutions of the field equations in the presence of cosmic strings under some specific possible physical conditions. Some physical and geometrical features of the models are also discussed.
Bianchi type-III, V and VI0 generalized ghost dark energy models with polytropic gas in Brans-Dicke theory of gravitation
Authors: Rani N. Sandhya , Sireesha K.V.S. , Rao V.U.M. 
Published: October 2019

Abstract
This paper elaborates the homogeneous and anisotropic Bianchi type-III, V and VI0
space times filled with matter and generalized ghost dark energy components in the framework of Brans-Dicke (Phys. Rev. 124, 925 1961) theory of gravitation. The behavior of generalized ghost dark energy for Bianchi type-III, V and VI0
background is discussed. The solutions of the field equations obtained using following two assumptions: (i) shear scalar of the model is proportional expansion scalar, which leads to a relation between the metric, (ii) scalar field in the Brans-Dicke theory is a function of average scale factor of the models. We have further established a correspondence between the generalized ghost dark energy models with the polytropic gas dark energy model. We also reconstructed the potential and dynamics of the scalar field. We discuss some physical and geometrical properties of the obtained models which are found to be consistent with recent observation.
Opportunities for Local Energy Supply in Norway: A Case Study of a University Campus Site
Authors: Backe S , Sørensen Å L , Pinel D , Clauß J , Lausselet C 
Published: October 2019

Abstract
Neighbourhoods can contribute to climate change mitigation by supplying and/or facilitating renewable energy sources (RES). In this context, we evaluate opportunities related to the energy system of a Norwegian university campus, Campus Evenstad, by quantifying monetary value of local energy resources like solar photovoltaics (PV) and a bio-based combined heat and power (CHP) plant in a cost analysis. Environmental value is discussed regarding operational control of energy units to minimize emissions. Using mixed integer linear programming (MILP), we also present results from an investment analysis for local thermal and electric energy system to achieve different levels of emission compensation. Results show that local electricity supply generates most monetary value through saved costs related to reduced power grid import, and that solar PV is the most cost-efficient resource to achieve compensation of GHG emissions.
Process-related risks in refurbishment of dwellings using prefabricated wall elements with integrated PV and ventilation ducts
Authors: Holøs S B , Lukina V , Hauge Å. L. , Thunshelle Kari 
Published: October 2019

Abstract
Prefabricated façade elements with integrated technical infrastructure is an attractive technology for refurbishment of existing dwellings. Heating and cooling demand can be reduced, local energy production introduced, and indoor air quality be improved, with disturbance to the tenants and building site being small and of short duration compared to more traditional building processes. On the other hand, unexpected events could largely reduce these benefits. Thus, risk management of the building process is of great importance. Focus group interviews and workshops were arranged before and after the building phase in a pilot project using such elements in Oslo, Norway. Representatives of building owner, design team and contractor contributed actively at the workshop. In a pre-building phase workshop, a range of hazards were identified and prioritized using a participative process facilitated by a neutral moderator. A large proportion of the prioritized risks in the building phase were connected to the renovated flats being occupied during the renovation. Other significant identified risks related to transport and logistics, and undetected challenges in the existing construction. Mitigation included prioritizing tenant information, including direct dialog, and increasing the presence of on-site workforce both for coordination with tenants and in order to respond quickly to unforeseen events. The participants emphasized that an open, cooperative processes with a high degree of trust and sense of a common goal had been important for the robust design that was developed prior to the workshop. During the retrospective evaluation, the participants concluded that the risk mitigation procedures had been successful in preventing some events as well as reducing the consequences of others. However, some of the measures to mitigate an identified risk of rain intrusion were inadequate, and it was acknowledged that the combination of bad weather and long working days could have identified this as preventable.
Life cycle assessment for Zero Emission Buildings – A chronology of the development of a visual, dynamic and integrated approach
Authors: Wiberg A Houlihan , Wiik M. Kjendseth , Auklend H , Slåke M Løkland , Tuncer Z , Manni M , Ceci G , Hofmeister T 
Published: October 2019

Abstract
Current regulations to reduce energy consumption, and GHG emissions from buildings have focused on reducing operational impacts [1] This paper addresses the specific challenge of increasing complexity and decreasing usability when dealing with the level of detail required when modelling life cycle assessment (LCA) and integrating embodied emission calculations in the design process of a ZEB. It is well known that architectural design processes inherently have high degrees of complexity, and this paper investigates how the use of information and communication technology (ICT) in the design process can have a great impact on reducing GHG emissions and increasing sustainability in ZEBs. Visualisation is an invaluable tool to communicate complex data in an interactive way that makes it easier for non-expert users to integrate LCA thinking early and throughout the design process.
The paper presents a chronology in the development of a more visual, integrated and dynamic approach involving the use of parametric LCA models for decision-support purposes. Such an approach provides the designer with a direct link between the 3D digital model and embodied emissions data contained in the ZEB Tool to perform life cycle GHG emission calculations of buildings. Integrating LCA in a more visual and easily understood way in the holistic design process can also influence more tangible material choices in terms of, for example, architectural tectonics or cultural heritage. This allows designers the possibility to choose, for example, durable or natural materials with the lowest environmental impact or innovative materials with high or low associated emissions and consider these holistically early in the design phase when the level of design freedom is greater. The extent to which existing ICT tools and User Interfaces (UI), such as dashboards, can provide dynamic visual feedback on selected parameters, including LCA, in the design process of zero emission buildings, is discussed. The paper presents two ‘proof of concept’ dashboards to visualise LCAs at the building (ZEB) and neighbourhood (ZEN) scale. Both approaches are currently being further developed in The ZEN research centre to visualise, analyse and model the data at different scales for different ZEN Key Performance Indicators (KPIs) using visualisation and immersive technologies, such as Extended Reality (XR) technologies including Virtual Reality (VR) and Augmented Reality (AR).
Disturbance Characteristics of the Off-Grid Photovoltaic System in the Frequency Range from 9 - 150 kHz with Changing Solar Irradiance and Shading Area
Authors: Muhammad N , Sudiarto B 
Published: October 2019

Abstract
A solar power plant converts light into electricity using photovoltaics. It uses an inverter to convert DC to AC current to be connected to an AC load. Increasing use of solar panels in household application results in an increase in the use of inverters, in which some might due to the fact that inverters can produce disturbances at a frequency between 9-150 kHz. This study is focused on observing the disturbance characteristics of an off-grid photovoltaic system due to variations of irradiation and shading in the frequency range from 9 -150 kHz. It is expected that the output of this observation can provide a reference for research in determining the effects on electric power system. This observation provided a shading effect of 0%, 25%, 50%, 75%, and 100% of the photovoltaic area and then conducted observation based on two solar irradiation conditions. Based on the observations, it is identified that in general there are 3 frequency ranges of dominant disturbances, they are: 20-25 kHz, 72-73 kHz, and 144-146 kHz. Their voltage disturbance will decrease with increasing shading area, where at shading conditions of 25% and 50% they will have a value voltage disturbance that tends to be the same as that in the 3 dominant frequency ranges.
Primary Productivity in Estuary Mangrove Kurau, Bangka Tengah
Authors: Utami E , Mahardika R G 
Published: October 2019

Abstract
Ocean primary production is an important factor for determining the ocean’s role in global carbon cycle. Primary production is the process whereby inorganic carbon is fixed in the sunlit (euphotic) zone of the upper ocean and forms the base of the marine food pyramid. It occurs when marine phytoplankton use sunlight energy and dissolved nutrients to convert inorganic carbon to organic material, thereby releasing oxygen. The objective of this study was to analyze primary productivity in estuary mangrove area in Kurau, Bangka Tengah, Indonesia. The study area was carried out in mangrove area, specifically in Kurau mangrove, Bangka Tengah, Indonesia. The physicochemical sea water parameters were recorded for all stations. The area was divided into four research stations. Based on the data, value of GPP was between 98.95 mg/L – 114.58 mg/L, NPP between 10.42 - 72.92 mg/L, R between 41.67 - 104.17 mg/L. In general, the mean value of temperature, pH, salinity, sea water current, brightness, phosphate were 29.5 ± 0.5 °C; 6.75 ± 0.83; 15 ± 12.74 ppm; 0.075 ± 0.032 m/second; 0.21 ± 0.15 m; 0.74 ± 0.52 mg/L. GPP rates still in typical state range for estuary of equator. Based on nitrate data, the sampling area was eutrophic, so that respiration rates was higher than NPP rates. Moreover, it is because higher recycling of labeled organic matter in brackish part of the estuary as well.
The determining of an environmentally oriented mining direction using the ordinary kriging method
Authors: Amelia R , Guskarnali  , Mardiah  
Published: October 2019

Abstract
Cassiterite (SnO2) is a mineral carrying element of tin (Sn) and other associated minerals of economic value. Mining activities need to go through several analyze including those related to environmental impacts regardless of primary and secondary sediment conditions. In this reseacrh, twenty-six data samples were took around Sambunggiri Hill, Jurung Village, Merawang District, Bangka Regency. The data were test using X-Ray Fluorescence (XRF) in a laboratory. There are two types of elements will be taken, they are Tin, (Sn) and Zircon (Zr), as well as one other type of related mineral is Hematite (Fe2O3). In this research, we use spatial analysis to estimate patterns of distribution of mineral content. The spherical model can apply to describe the spatial relationship between location pairs based on Hematite, Tin and Zircon. The pattern of minerals distribution mostly found to the east of Sambunggiri Hill. The estimated distribution pattern of Cassiterite minerals can provide an overview of mining activities that can prevent environmental damage. So that environmental damage caused by mining activities can be minimized and raise awareness to maintain a sustainable environment. A good mining concept will have a positive impact on the surrounding environment.
School infrastructure green environment
Authors: Sucipto  , Safitri R 
Published: October 2019

Abstract
School infrastructure that reflects environmental management efforts really needs attention. This study aims to analyze the importance of green environm entally friendly school infrastructure development in supporting the learning process in schools. The object of this research is Junior High School at Salatiga. This research is descriptive qualitative research. The parameters in this study are implementation and strategy in creating an environmentally friendly school environment. Data collection is done through interviews, documents, and observations. The results of this study indicate that green school infrastructure must have clean water, rubbish (the provision of separate bins, composters), feces, wastewater/drainage, green open space (RTH), noise/vibration/radiation. The realization of a green environment also needs to be maintained by planting trees, contest, strict sanctions, slogan, galactic activities that are fostering a love for the environment, and defend grass fields.
Technical Evaluation of Associated Tin Minerals Processing at Bidang Pengolahan Mineral (BPM) Unit Metalurgi Muntok, PT Timah Tbk
Authors: Virgiawan M R , Pitulima J 
Published: October 2019

Abstract
Since 2017 PT Timah Tbk has been processing residual ore (SHP) with low tin content of ± 10-30% wt. In order to increase tin grade and associated mineral products to be high grade (> 70% wt), an evaluation and optimization process is needed on High Tension Roll Separator processing equipment. The evaluation and optimization process was carried out on conductor products, especially index of separation efficiency of cassiterite. Sampling of the feed and the product based on the parameter settings. The feed rate is set at 250, 630 and 2100 gr/10s. The splitter opening is set at 13, 16, 20 cm of magnetic rollers. While the electric current is set at 1, 2 and 3 miliamperes. Mass and grade data are then analyzed by regression and variance statistical methods and optimized by the response surface method. The evaluation results show that only the splitter opening parameters and electric current strength are significant in explaining the product results obtained with a level of hypothesis error of 5%. The results of HTRS optimization show that the best parameter conditions are in the <1.5 ampere of electric current and <14 cm of splitter openings with schulz’s efficiency capable of >90% in second order of central composite design.
Drug–target prediction utilizing heterogeneous bio-linked network embeddings
Authors: Zong Nansu , Wong Rachael Sze Nga , Yu Yue , Wen Andrew , Huang Ming , Li Ning 
Published: November 2019

Abstract
To enable modularization for network-based prediction, we conducted a review of known methods conducting the various subtasks corresponding to the creation of a drug–target prediction framework and associated benchmarking to determine the highest-performing approaches. Accordingly, our contributions are as follows: (i) from a network perspective, we benchmarked the association-mining performance of 32 distinct subnetwork permutations, arranging based on a comprehensive heterogeneous biomedical network derived from 12 repositories; (ii) from a methodological perspective, we identified the best prediction strategy based on a review of combinations of the components with off-the-shelf classification, inference methods and graph embedding methods. Our benchmarking strategy consisted of two series of experiments, totaling six distinct tasks from the two perspectives, to determine the best prediction. We demonstrated that the proposed method outperformed the existing network-based methods as well as how combinatorial networks and methodologies can influence the prediction. In addition, we conducted disease-specific prediction tasks for 20 distinct diseases and showed the reliability of the strategy in predicting 75 novel drug–target associations as shown by a validation utilizing DrugBank 5.1.0. In particular, we revealed a connection of the network topology with the biological explanations for predicting the diseases, ‘Asthma’ ‘Hypertension’, and ‘Dementia’. The results of our benchmarking produced knowledge on a network-based prediction framework with the modularization of the feature selection and association prediction, which can be easily adapted and extended to other feature sources or machine learning algorithms as well as a performed baseline to comprehensively evaluate the utility of incorporating varying data sources.