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Pyrolysis process consists of two-stages in integration aims to carbon purification, evaporates volatile compounds so that it enlarges the pore diameter, and increases the surface area of the activated carbon. This research was used Veitchia Merilli seed (VMS) waste by optimizing the stages-carbonization to obtain a high specific capacitance. Initial preparation begins with the pre-carbonization process at a temperature of 200°C, the activated carbon powder is converted into a monolith form using a Hydraulic Press and followed by a pyrolysis process in the stages-carbonization with temperature variations of 500°C, 600°C, and 700°C and the stages-physical activation at temperature of 800°C. The results showed that the thermal resistance temperature of the carbon powder was 287°C. The lowest density value occurs in the VMS-600 sample of 0.591 gr/cm3 and Microstructure analysis shows that the carbon electrode is amorphous which is characterized by the presence of peaks at 2θ angles around 24° and 44° with the highest Lc value of 15.069 nm, with the highest specific capacitance value of the supercapacitor cell of 210,442 F/g. Temperature 600°C is the optimum temperature carbonization in the process fabrication of carbon electrodes from VMS waste for supercapacitor cell application.

The bench was developed in the Laboratory of Hydraulic Devices at the Department of Oil Field Machines and Equipment, which allows creating conditions close to the bottomhole conditions of any well. Laboratory-experimental studies conducted at the bench included two stages: a) study of output parameters and the corresponding selection of optimal design parameters of the developed devices; b) study of the influence of pressure and frequency of fluid pulses on the penetration of working fluid in sand samples.

In this study, two S0 particle packed reactors were constructed to explore the influence of alkalinity content on S0-based autotrophic denitrification (SAD) with nitrate and nitrite as electron acceptors respectively. As a result of the comparative experiment, when the alkalinity of influent is sufficient (HCO3 -: NO3 - mole ratio > 1.5:1), NO3 --N and NO2 --N reactor both showed high removal efficiency. But when the HCO3 -: NO3 - mole ratio decreased to 0.2:1, the average removal rate of NO3 --N decreased to 31%, and NO2 --N average removal rate still maintained at 95%. Based on the results, the reduction of alkalinity can significantly reduce the nitrate removal efficiency, but has little effect on the nitrite removal efficiency. This study further explained the characteristics of alkalinity consumption of the two stage of SAD and may provide a reference for future research.

Mulia University is a private university that carries the slogan “Global Technopreneur Campus” with a total of 1631 students per August 2019. Mulia University has two campuses for learning support. The first one is Balikpapan Main Campus, and the other one is Samarinda Campus. The data to be used in this research is a prototype. Then, will be analyzed by Business Intelligent. Business intelligence is a series of processes to get information easily from large and complex data. In this research has been conducted two stages of analysis, which is data collection techniques and data analysis techniques on prospective student data. The application that is used in this research is Microsoft Power Business Intelligence. By using Microsoft Power Business Intelligent, it is expected to simplify the management of student admission reports, as well as decision making and to determine future strategies. The results of this research are data visualization information reports about student admission.

Learning resources are very important in learning physics, then, the purpose of this study is to develop e modules with the STEM approach to stimulate students’ HOTS on Dynamic Fluid. The research method used is the research and development (R&D) with ADDIE models which have five stages: analysis, design, development, implementation, and evaluation. The first two stages of this article will be reported analysis and design stage. The instrument used was a product needs analysis questionnaire and the practitioner validation sheet using a Likert scale. The data needs analysis phase was sourced from high school level students and physics teachers in Lampung province. The validators of product design are professional physics teachers with the Masters in Physics Education qualifications. Google form as a media for data collection is then analyzed using descriptive quantitative. The results showed that the E-Module to stimulate HOTS on dynamic fluid material was highly needed. E-module that have the potential to stimulate HOTS in dynamic fluid material consist of seven learning activity that contain the STEM component. In conclusion, E-Module based on STEM dynamic fluid material has the potential to simulate students’ HOTS.

This paper introduces technology for detecting bearing damage to the 3-phase induction machine that is divided into two stages. In the first stage, the stator current signal (iq) is decomposed by adopting (DWT) and extract RMS values of the current signal (iq). The second stage is to enter the external RMS values of the stator current signal (iq) into the trained artificial neural network to detect these defects. With this mechanism, One can protect the induction motor from damage. This is done by using a simulation program simulink/MATLAB2019. The computed results show that better performance can be achieved using such a technique.

Duo to limited energy of the sensor nodes which forming the wireless sensor network (WSN), and almost deployed in harsh environment, therefore it is very important to minimize the consumption of the sensor node’s energy. For this reasons designing an energy efficient clustering and scheduling of sensor nodes considered the most efficient methods for extending the WSN’s lifetime. In this paper, we have proposed Genetic algorithm based methods for clustering and scheduling. The proposed methods have two stages; in the first stage GA is used for cluster formation where the chromosome is represented by using the sensor node’s position. While in the second stage GA is used for selecting a minimum number of nodes while maintaining the full coverage and the connectivity of the selected nodes. The simulation result shows that the proposed algorithm (AGA) is more efficient than the existent algorithms in terms of number of first node die per round, number of a live nodes, and energy consumption.

The purpose of this study is to improve student learning outcomes using PBL-based PAPROLIN teaching aids on linear program material. This research is research reseach and development (RnD). Then the object in this study is the PAPROLIN teaching aids and the PAPROLIN teaching aids manual, lesson plans and instruments used for research. Data collection techniques in the form of student response questionnaires, product validation by experts, subject teachers and learning outcomes tests. The results of the PAPROLIN teaching aid guidebook assessment by material experts are a total score of 89 with an average value of 44.5 in the range of 74.76

This study aims to develop self-regulated learning of Industrial Engineering students through Minitab software-based teaching materials. This is done because there is no Minitab software-based instructional material to develop student self-regulated learning. The importance of self-regulated learning in students has developed instructional materials for instructional materials that are able to develop student self-regulated learning. The products of this study produce instructional materials in the form of student worksheets. The research method uses 4D development, namely: 1) Define, develop problem analysis and potential, 2) Design, make the initial product (prototype) product design tailored to existing needs and potential, 3) Development, in two stages: expert appraisal and developmental testing, 4) Disseminate, do validation testing. After expert trials, instructional materials were in the decent category (80%) and could be used as teaching materials for supporting lectures.

Mercury is a heavy metal that has the highest toxicity. The toxicity of mercury will increase at the time of entry into the water. This study aims to determine the percentage of death Tubifex tubifex exposed to HgCl2 and determine LC50-48 hours of mercury in Tubifex tubifex worms. The study was divided into two stages, preliminary test and definitive toxicity acute test (LC50-48 h). Concentrations are used to test toxicities on a logarithmic scale. Observations were made every 24 hours for 48 hours. Mercury was detected by Atomic Absorption Spectrophotometer (AAS) method. The results showed that the increase in Tubifex tubifex mortality was directly proportional to the increase in HgCl2 concentration. The use of probit obtained LC50-48 h at a mercury concentration of 83.15 ± 3.89 μg / L, can be categorized into heavy metals with high toxicity. The tendency of toxicity decreases with the length of exposure time.

Detecting actions in untrimmed sequences is an important yet challenging task. In this paper, we innovatively transform the temporal action detection issue into the object detection issue. Our method allows for real-time detection and end-to-end training. It consists of two stages. Firstly, we propose an idea to represent action sequences as images as well as preserving the original temporal dynamics and spatial structure information. Secondly, based on such description, we design a one-dimensional YOLO network to detect human action. In addition, we make a dataset for skeleton based temporal action detection. Experiments on our dataset demonstrate the superiority of our method.

The instructional materials which are distributed in schools are not developed to facilitate the students' abilities, instead of only consisting of concepts with suitable formulas and the questions without solutions. Based on the problem, the aim of the research is to develop an instructional material in the form of the module which can facilitate the students' mathematical reasoning. The research used the development model design of Dick and Carey consisting of nine steps. The module was developed with problem-based learning model in the circle lesson and was evaluated in the validity test. The validity test was examined by four validators dealing with content, construct, language and technique. The module was evaluated in two stages consisting of small and big group tests by students of Senior High School 10 Pekanbaru. After having learned with the developed module, students were tested to solve the problems to know their mathematical reasoning. The results were that the developed problem-based learning module is valid (94.21%) and practical (88.85%), and the students' reasoning test is high (88.97%). So, it is concluded that the developed module can facilitate the students' mathematical reasoning.

This study aims to find out how to develop student’s critical thinking skills through problem-based learning. Single-case single-side case design was selected as the method of this study and a lecture was involved to carry out the classroom instruction. The data were collected through observations, interviews, and document analyses. The findings suggest that the development of mathematical critical thinking skills using problem-based learning was performed in two stages: (i) controversial issues and (ii) active debate. Our study confirms that problem-based learning is an effective alternative to develop university student’s critical thinking skills in mathematics.

Recently, revolution 4.0 has become a major topic in various aspects. One of them is in education. Education is the first key to facing revolution 4.0 through digital learning. in the form of schoology needs to be applied to facilitate and foster the Digital learning students' motivation. This research is a Research and Development (R&D) research using Borg and Gall procedures. The results of material experts, media experts, and teachers validation reached very reasonable criteria. Then, the mobile learning with schoology applications was tested through two stages: small group trials and field trials in Junior High School. The result showed that it reached very reasonable interpretation criteria and could foster the students' interest in learning science.

Benthik is one of the local wisdom from DI Yogyakarta that consisted of two stages namely uthat and ilar. Benthik can explain various content of physics through Multimedia Learning Modules (MLMs). This research aims to determine the needs of students and teachers toward MLMs based on benthik local wisdom to provide students' physics initial knowledge. The research used survey method. Data collection instruments used were questionnaires of students needs and interview. Research subjects consisted of 140 senior high school (SHS) students and 3 physics teachers. Research subjects were choosen by purposive sampling. The questionnaires were analyzed by percentage and the result of interview analyzed descriptively. The questionnaire contains about physics learning in schools, physics textbooks used, learning based on local wisdom, the use of technology in learning, and the media needed in learning. The result show that 99,28% of students need or very need MLMs based on benthik local wisdom. This condition is supported by the interview that showed teachers need MLMs because the students prefer to use multimedia technology than textbook. It means that students and teachers need Multimedia Learning Modules (MLMs) based on benthik local wisdom to provide students' physics initial knowledge.

Introductory physics courses for future physics teachers serve various, often quite "divergent" purposes. On one hand, they should present physics at university level, using mathematical tools like integrals, differential equations, tensors etc. with sufficient degree of exactness. On the other hand, they should develop conceptual understanding, physics insight and "intuition", skills necessary for doing experiments etc. Often, the development of such conceptual understanding and necessary skills is aimed also "at university level", assuming that students know the basics from secondary schools and have some experience with at least elementary experiments. Moreover, it is often assumed that students themselves will see the link between "secondary school physics" and "university physics". However, often this is not the case and future teachers complain that there is a large gap between physics at those two stages. To help students reduce this gap we created two optional seminars: Electricity and magnetism step by step and Optics step by step. These seminars give students better understanding of physical concepts as well as some basic methodical comments for their future work with pupils. Both seminars are based on the methodology of the Heureka Project (Dvorakova 2013a). In this article we would like to present our experience with both seminars.

Task scheduling is critical in heterogeneous systems especially with the huge number of tasks transmitted over grid causing system delay. Since heuristics are proposing methods for solving heterogeneous computing systems, several techniques were proposed for the scheduling on grid computing systems to get better execution time. In this paper, a proposed new heuristic algorithm named Two Stages Tasks Transfer (TSTT) algorithm to enhance Tenacious Penalty Based scheduling (TPB) algorithm. Heterogeneous Computing Scheduling Problem (HCSP) mathematical model has been used, where the independent tasks assigned to heterogeneous machines with different characteristics. Twelve datasets with different heterogeneity level examined using different heuristic algorithms to compare the performance with our proposed algorithm. The proposed algorithm showed its efficiency in term of makespan, resource utilization metrics for set of tasks.

Deep tracking has been illustrating overwhelming superiorities over the shallow methods. Unfortunately, it also suffers from low FPS rates. To alleviate the problem, a number of real-time deep trackers have been proposed via removing the online updating procedure on the CNN model. However, the absent of the online update leads to a significant drop on tracking accuracy. In this work, we propose to perform the domain adaptation for visual tracking in two stages for transferring the information from the visual tracking domain and the instance domain respectively. In this way, the proposed visual tracker achieves comparable tracking accuracy to the state-of-the-art trackers and runs at real-time speed on an average consuming GPU.

The producer of the biggest B3 waste is hospital. The waste is from medical and laboratory activities. The purpose of this study is to determine the elements contained in the liquid waste from hospital and calculate the levels of these elements. This research was done by analysis of the neutron activation conducted at BATAN Yogyakarta. The neutron activation analysis is divided into two stages: activation of the samples using neutron sources of reactor Kartini, then chopping by using a set of tools, gamma spectrometer with HPGe detector. Qualitative and quantitative analysis were done by matching the gamma spectrum peak to the Neutron Activation Table. The sample was taken from four points of the liquid waste treatment plant (WWTP) Bhakti Wira Tamtama Semarang hospital. The results showed that the samples containing elements of Cr, Zn, Fe, Co, and Na, with the levels of each element is Cr (0.033 - 0.075) mg/L, Zn (0.090 - 1.048) mg/L, Fe (2.937-37.743) mg/L, Co (0.005-0.023) mg/L, and Na (61.088-116.330) mg/L. Comparing to the standard value, the liquid is safe to the environment.

The purpose of this research describes the effect of scientific methods designed by argumentation in maintaining retention of pre-service physics teachers (students) in mechanical concept. This learning consists of five stages including the first two stages namely observing and questioning. While the next three stages of reasoning, trying, and communicating are made of argumentation design. To know the effectiveness of treatment, students are given pre-test and post-test in one time. On the other hand, students were given advanced post-test to know the durability of retention as many as four times in four months. The results show that there was mean difference between pre-test and post-test based on the Wilcoxon test (z = -3.4, p=0.001). While the effectiveness of treatment is in the high category based on normalized gain values ( = 0.86). Meanwhile, mean difference of all post-test is significantly different based on Analysis of Varian (F = 365.63, p = 0.00). However, in the fourth month, students retention rates began to stabilize based on Tuckey's HSD (p=0.074) for comparison of mean difference between fourth and fifth post-test. Overall, learning designed can maintain students retention within 4 months after the learning finish.

A method for rapid prototyping by using linear light as sources employs DLP (Radiation Hardening Formation) or LCD, together with the portable devices and linear light source to treat the raw material in two stages. The first stage is to spread the raw material to a selected zone by nozzles or rollers and illuminating the material to let the material being processed and have physical o mechanical changes. The second stage is to use more powerful linear light source with the cooperation of the portable DMD (Digital Micromirror Device) or LCD (Liquid Crystal Display) to illuminate the material to make it have a second times of physical o mechanical changes. By the piling up the layers of the material, a complete 3-D work piece is obtained.

Predicting the existence of restriction enzymes sequences on the recombinant DNA fragments, after accomplishing the manipulating reaction, via mathematical approach is considered as a convenient way in terms of DNA recombination. In terms of mathematics, for this characteristic of the recombinant DNA strands, which involve the recognition sites of restriction enzymes, is called persistent and permanent. Normally differentiating the persistency and permanency of two stages recombinant DNA strands using wet-lab experiment is expensive and time-consuming due to running the experiment at two stages as well as adding more restriction enzymes on the reaction. Therefore, in this research, by using Yusof-Goode (Y-G) model the difference between persistent and permanent splicing language of some two stages is investigated. Two theorems were provided, which show the persistency and non-permanency of two stages DNA splicing language.

Conditions of the charged particles confinement in a vertically oriented microparticle electrodynamic ion trap have been determined experimentally. The experiment included two stages. At the first stage, charge-to-mass ratio of the trapped particle was measured by its position in a non-uniform electric field while at the second stage the ac voltage frequency was varied until the particle fell out of the trap. This frequency was taken as the boundary of particle confinement.

Dehydration diagrams were determined by means of Differential Thermal Analysis, DTA, and Thermo Gravimetric Analysis, TGA, curves of several simultaneous fruits and vegetables, all under the same conditions. The greater mass loss is associated with water containing in the structure of the investigated materials at low temperature. In poblano chile water is lost in a single step. The banana shows a very sharply two stages, while jicama can be observed although with a little difficulty three stages. The major mass loss occurs in the poblano chile and the lower in banana. The velocity and temperature of dehydration vary within a small range for most materials investigated, except for banana and cactus how are very different.

A description of the design and performance of the newly re-implemented tracking algorithms for the ATLAS trigger for LHC Run 2, to commence in spring 2015, is presented. The ATLAS High Level Trigger (HLT) has been restructured to run as a more flexible single stage process, rather than the two separate Level 2 and Event Filter stages used during Run 1. To make optimal use of this new scenario, a new tracking strategy has been implemented for Run 2. This new strategy will use a Fast Track Finder (FTF) algorithm to directly seed the subsequent Precision Tracking, and will result in improved track parameter resolution and significantly faster execution times than achieved during Run 1 and with better efficiency. The performance and timing of the algorithms for electron and tau track triggers are presented. The profiling infrastructure, constructed to provide prompt feedback from the optimisation, is described, including the methods used to monitor the relative performance improvements as the code evolves. The online deployment and commissioning are also discussed.

Currently, an increase of published studies regarding nano-object release into the air can be observed. In the absence of a harmonized methodology only a few studies provide quantitative data for further use. In this study, an appropriate methodology was adopted and partly enhanced for the characterization of the nanoparticle release from coatings and composites containing nanoscaled pigments. Systematic analyses at two stages of the life-cycle (non-weathered/arterially weathered) were performed for three simulated treatment processes – sanding, dynamic friction and wind erosion. Results show that the sample material, the sample composition, the sample condition (e.g. weathering state) and the type of mechanical treatment have a strong effect on the particle release. SEM, TEM and EDX analyses revealed that none of the released particles were free nanoscaled pigments.

A model of the dynamic interaction of dislocations with the impurity subsystem of crystals that have high Peierls barriers has been developed. It is justified that the impurity kinetics during atmosphere formation includes two stages. The initial stage leads to a negative strain rate