bluuebunny/crossref_metadata_2025 huggingface dataset:
Compartmentalized processing of catechols during mussel byssus fabrication determines the destiny of DOPA
Authors: Priemel Tobias , Palia Ranveer , Babych Margaryta , Thibodeaux Christopher J. , Bourgault Steve , Harrington Matthew J.
Published: March 2020

Significance

Catechol chemistry has emerged as a cornerstone of bioinspired polymers and adhesives due to its versatility in creating diverse covalent and dynamic noncovalent interactions (including metal coordination). The concept initially arose from the discovery that mussels use catechol moieties of 3,4-dihydroxyphenylalanine (DOPA) to mediate robust surface adhesion in seawater and to reinforce tough and self-healing biopolymer fibers. Currently, difficulties controlling DOPA redox chemistry limit its synthetic application; yet, mussels overcome this challenge daily through apparent physical and chemical process control. Here, we reveal that mussels employ several different processing pathways that predetermine the cross-linking fate of DOPA-containing proteins via spatiotemporal control of microenvironments in secretory vesicles and later in mature threads—with key significance for advanced polymer design.
More than playfulness
Authors: Zhang Yiqiong , Wang Min , Li Ying
Published: March 2020

This study aims to uncover the complexity of emoji usage on Chinese social media. We investigate emoji usage in comments on push notifications from the WeChat official account ofGuokr, which was chosen as a representative for an open forum for public communication. The data includes 2,552 comments from 90 articles pushed by the account. The analysis adopts a discourse-pragmatic perspective within the framework of intercultural pragmatics (Kecskes 2014), taking into account both the local discourse environment and the cultural context. It is found that Chinese WeChat users show a preference for using emojis that are unique to the WeChat platform. Qualitative analyses were carried out on selected WeChat emojis used in comments fulfilling the speech acts of self-disclosure, self-praise, humor and complaining. Emojis are found to be used to perform and reinforce a sense of playfulness in social media, but underlying this playfulness there is a discursive conformity to social norms in real life. The use of emojis resolves the tension between the openness and freedom in social media and the conservative, constraint-bounded nature of established social norms.
Data integration for accelerated materials design via preference learning
Authors: Sun Xiaolin , Hou Zhufeng , Sumita Masato , Ishihara Shinsuke , Tamura Ryo , Tsuda Koji
Published: March 2020

Machine learning applications in materials science are often hampered by shortage of experimental data. Integration with external datasets from past experiments is a viable way to solve the problem. But complex calibration is often necessary to use the data obtained under different conditions. In this paper, we present a novel calibration-free strategy to enhance the performance of Bayesian optimization with preference learning. The entire learning process is solely based on pairwise comparison of quantities (i.e., higher or lower) in the same dataset, and experimental design can be done without comparing quantities in different datasets. We demonstrate that Bayesian optimization is significantly enhanced via data integration for organic molecules and inorganic solid-state materials. Our method increases the chance that public datasets are reused and may encourage data sharing in various fields of physics.
A Side-Channel Attack Resistive ECDSA
Authors: Samir Abo-Taleb A. , Shalaby M. , Nabil M. , Elramly Salwa
Published: March 2020

Elliptic curve plays an important role in securing critical software applications as it is one of the most powerful and widely utilized encryption algorithms. It is used in many applications such as digital signature schemes. Elliptic curve algorithms are hard to break, however, attackers find another indirect and more efficient methods to estimate secret information behind any secured systems with the help of information leakages so that they can successfully reconstruct critical objects like private keys. These methods are called side- channel attacks. In this paper we propose a software implementation of ECDSA which can counteract cache memory side-channel attack using three techniques, namely, “Fisher Yates” algorithm, volatile memory objects, and thread locking.
Evaluating IT Governance Structure Implementation in the Gulf Cooperation Council Region
Authors: Nicho Mathew , Muamaar Suadad
Published: March 2020

IT governance (ITG) implementations in organizations started to gain momentum during the turn of the twenty first century mainly due to (but not limited to) the need for IT business alignment, better return of investment, effective utilization of IT and for a strategic direction of IT. This initially mandates to establish and implement a set of ITG structures in the organization to initiate, adopt, and implement relevant ITG frameworks to set in the motion of successful ITG implementation. While researchers have stated twelve relevant ITG structures that needs to be set in place, two questions remain in terms of the two factors namely ‘ease of implementation/use’ and ‘effectiveness’ of these ITG structures. With scant research in this domain, we explore the relationship of these two factors on the twelve ITG structures through a survey of senior managers involved in ITG domain in the Gulf Cooperation Council (GCC) region. With diverse board and executive level cultures evident in different regions of the world, the adoption of these ITG frameworks and standards depend on the ITG practices being followed in each cultural context. The results thus assist organisations and ITG consultants in the GCC region to know the level of effectiveness of relevant ITG structures as well as the implementation effort required for these.
Hybrid Signature Scheme Integrating Elliptic Curve Cryptosystem with Ong, Schnorr, and Shamir Digital Signature Scheme
Authors: Eltaib Hisham A. , AbdelRassoul Roshdy , Ieee SM , Zaghloul Mohamed Saad
Published: March 2020

Transmitting data over unsecured Channels is one of the most indispensable issues which motivates researchers to study. In this paper, a new hybrid digital signature approach is going to be proposed which integrates the elliptic curve cryptosystem (ECC) into Ong, Schnorr, and Shamir signature (OSS). A self-invertible 8×8 key matrix will be utilized as a portion of the OSS digital signature. The strength of the proposed technique relies on combining couple of fundamental mathematical problems namely the discrete logarithm problem (DLP) and integer factorization problem (IFP). Elaborated results regarding security and time rendering analysis have been measured and confirmed its durability against diverse patterns of attacks. The submitted technique can be applied as a substitutional protocol if all the familiar systems are executed.
A MIP Model for Experimental Courses Scheduling
Authors: Zhu Yuhan , Jing Jielin , Liu Jiawen , Wang Xiaoshan , Luo Yong
Published: March 2020

In this paper, we propose a mixed integer programming (MIP) model to solve the experimental courses scheduling problem. And we use the experimental courses historical data in our information systems to solve the MIP model. The results of the numerical example demonstrate that the proposed model can reach an optimal solution in a short period of time. The MIP model can provide the decision-making support for the experimental courses arrangement.
Core Topics Discovery in Sustainable Supply Chain Literature: An Automatic Approach
Authors: Montenegro Carlos , Loza-Aguirre Edison , Segura Marco , Yanez Eddie
Published: March 2020

The study of Sustainable Supply Chain (SSC) has evolved and expanded over the last two decades. This study uses text mining and machine learning methods for automatically identify and classify the topics that permeate a collection of documents. The topics of SSC research were identified, using the Latent Dirichlet Allocation model, from 684 articles published between 2001 and 2017 in 13 top journals. Then, we explored trends by examining changes in the classification of topics in different periods and by identifying the hot and cold topics of SSC research. The relationships of these topics with the journals were also determined. Finally, applying the Competitive Neural Network learning model, the topics were classified according to the Elkington’s Triple Bottom Line precepts. The findings of this study are expected to provide clues for researchers and policymakers in the field of SSC.
Insulator Recognition and Fault Detection Using Deep Learning Approach
Authors: Antwi-Bekoe Eldad , Zhan Qiugang , Xie Xiurui , Liu Guisong
Published: March 2020

Uninterrupted power supply to electric power consumers has increasingly become a global necessity. Monitoring the health of distribution network is crucial to provide quality service. Traditional monitoring methods based on on-site patrols to detect faults have increasingly become labor-intensive and time-consuming, raising demand for new and more efficient techniques. To address this issue, we propose faster-RCNN by MXNet for both detection and classification tasks. We utilize convolutional neural network (CNN) for detecting and classifying both insulator components and faulty insulator discs from images captured on overhead electric power transmission systems. Using a dataset of images acquired through UAV (unmanned aerial vehicle) captures, detection and classification is dealt with by dividing the picture content of the training set into three classes: background, insulator and the defective part of insulator. We achieve target insulator recognition and positioning with impressive precision compared to other traditional technologies. Our work could have practical integrated implementation solutions for automated inspection of overhead transmission power line insulators. The code used can be found at https://github.com/QgZhan/Insulator-Defect-Detection.
Visual Recognition and Localization of Printed Circuit Board
Authors: Zhang Yi , Zhou Zhifeng , Zheng Lei , Zhu Zina , Xiao Peng
Published: March 2020

Precise positioning is one of the key steps in defect detection for printed circuit boards. This paper proposes a method to evaluate the roundness of printed circuit board image by least squares method and determine the position of the target circle by area sorting and screening method to realize the accurate extraction of the positioning parameters of the circular reference point (positioning circle). The CCD camera is used to capture images of the printed circuit board, and the median filtering is used for image preprocessing. The printed circuit board is separated from the image background by the gray projection segmentation technique, and the object in the image smaller than the positioning circle area is hidden. After comparing the circularity of the graphic in the printed circuit board image, two positioning circles are found according to the size of the graphic area to determine the coordinates of the center of the circle. The experimental results show that the positioning circle detection result of this method is accurate and requires less time than the traditional Hough transform detection circle.
Region and forecasting of banana commodity in seroja agropolitan area lumajang
Authors: Zahrosa D B , Soetriono  , Soejono D , Maharani A D , Baihaqi Y , Amam
Published: March 2020

Banana commodity has a crucial role in supporting the economic growth of Lumajang Regency, especially in Seroja Agropolitan Area. One aspect that must be observed in the development of banana commodity is how to pay attention to regional conditions, bearing in mind that each region has different characteristics. The objectives of this study are to find out that Seroja, the Agropolitan area, is a banana commodity production base area and the forecast of banana commodity production in the next five years. The locations of the study are Senduro and Pasrujambe Subdistricts, with the consideration that the sub-district is the Seroja Agropolitan area Lumajang Regency. The research method applies an analytical approach. The data collection method uses secondary data, in which the available statistical data has been published by BPS. The data analysis method used is base and non-base sector analysis Location Quotient and Box-Jenkins Model (ARIMA) analysis. The results show that out of 21 districts in Lumajang Regency there are Pasrujambe and Senduro. The LQ value of Pasrujambe is 2.02 and Senduro is 2.01. This means that Pasrujambe and Senduro Subdistricts in the Seroja Agropolitan Area are centers of banana potential and must be managed as continuously as possible. The banana production forecast for 2018-2027 tends to be constant and decrease. This is consistent with the previous year of fluctuating production data and tends to decline.
A potency of ELF magnetic field utilization to the process of milkfish preservation (chanos chanos)
Authors: Sudarti  , Supriadi B , Subiki  , Harijanto A , Nurhasanah  , Ridlo Z R
Published: March 2020

This research aims to prove that Extremely Low Frequency (ELF) magnetic field radiation can be used in the process of milkfish preservation. The sampling consists of three groups, the first group is exposed by ELF magnetic field of 750 μT, the second group is exposed by ELF magnetic field of 900 μT, and these groups are exposed in 2x 30 minutes and 2x 45 minutes. The third group is the control, which does not need to be exposed by the ELF magnetic field. The research finding shows that the ELF magnetic field radiation exposure of 730-μT intensity during 2x30 minutes in the fresh milkfish has been proven to reduce bacterial growth up to 73% and the exposure of 880μT ELF magnetic field radiation can reduce the bacterial growth up to 62% in the fifth hour after the exposure than the control. Meanwhile, the ELF magnetic field exposure by the intensity of 730μT or 880μT during 2 x 45 minutes significantly shows the stability of bacteria number than the control. Therefore, the ELF magnetic field radiation in more than 700μT intensity in 2 x 30 minutes has the potential to be applied in the process of milkfish preservation.
The molecular phylogenetic of payangga (G. margaritacea), manggabai (G. giuris) and hulu’u from Limboto Lake based on cytochrome B sequences
Authors: Nuha U , Amin M , Lestari U
Published: March 2020

Payangga (G. margaritacea), manggabai (G. giuris), and hulu’u are native fishes that live in Limboto Lake, Gorontalo. The aim of this research was to describe the molecular phylogenetic of payangga (G. margaritacea), manggabai (G. giuris), and hulu’u based oncytochrome bsequences. The phylogenetic three was reconstructed using MEGA 6.0 with Neighbour Joining (NJ) and Minimum Evolution (ME) methods. The result indicated that hulu’u was included in the same cluster with three comparable species, namelyP. microps, P. minutus, andC. chanos, whileG. giurisbelongs to the same cluster asG. margaritacea.
Diversity of freshwater shrimp (decapoda) from bandealit rivers meru betiri national park, East Java, Indonesia
Authors: Susilo V E , Suratno  , Fadillah N , Narulita E , Wowor D
Published: March 2020

Freshwater ecosystems are habitat for macroinvertebrate, fish and reptile groups. One of the macroinvertebrates that can be found in freshwater habitat is shrimp which belongs to the class of Crustaceae, order of Decapoda. This study aims to determine diversity and the abiotic conditions of freshwater shrimp habitat. Determination of sampling locations was done by purposive sampling based on the habitat type of freshwater shrimp and followed by road sampling that takes the straight path from the designated sampling location. The tools used to catch freshwater shrimp are traps and tray nett. The results obtained in the Bandealit river of Meru Betiri National Park were five species of freshwater shrimp consisting of 2 families. The diversity index of freshwater shrimp in the Bandealit river was classified as moderate by the analysis of diversity index. Meru Betiri National Park has ideal abiotic conditions for freshwater shrimp life.
Optimizing lactobacillus growth in the fermentation process of artificial civet coffee using extremely- low frequency (ELF) magnetic field
Authors: Sudarti  , Bektiarso S , Prastowo S H B , Prihandono T , Maryani  , Handayani R D
Published: March 2020

This study aimed to analyze the fermentation process of Civet Coffee through Extremely Low Frequency (ELF) magnetic field radiation. The research method used a Completely Randomized Design (CRD) experimental. The sample of high quality pulped coffee that fermented by adding α- amylase and is grouped in seven. The six groups are exposed by ELF magnetic field in 100 μT and 300μT for 15 minutes, 30 minutes, and 45 minutes, and one group is served as the control. The result indicated that the population of Lactobacillus in the experiment groups increases significantly compared to the control. The exposed sample achieves the highest population in 300 μT intensity for 45 minutes. Also, the total of pH during the fermentation process did not show any significant changes. ELF magnetic field exposure in 300 μT optimized Lactobacillus proliferation drastically in the fermentation process of artificial Civet coffee. This research can contribute to developing fermentation technology based on ELF magnetic field radiation as well as improving the quality of artificial Civet coffee.
On r-dynamic local irregularity vertex coloring of special graphs
Authors: Maylisa I N , Dafik  , Hadi A F , Kristiana A I , Alfarisi R
Published: March 2020

In this paper, we study a new notion of graph coloring, that is a local irregularity vertex r-Dynamic coloring. We combine irregular local and the principles of r-dynamic coloring and we assign color to all vertices by using the weights of local irregularity vertex. We define l : V(G) → {1, 2, …, k} as a vertex irregular k-labeling and w : V(G) → N where w(u) = ∑
v∈N(u)
l(v). By a local irregularity vertex coloring, we define a condition for f if for every uv ∈ E(G), w(u) ≠ w(v) and max(l) = min{max{li
}; li
vertex irregular labeling}. Each vertex of the weight as a color should satisfy the r-dynamic condition, namely |w(N(v)) ≥ min{r, d(v)} and each the adjacent vertices must be different. In this paper, we study the local irregularity vertex r-Dynamic coloring of special graph, namely triangular book graph, central of friendship graph, tapol graph, and rectangular book graph.
On resolving domination number of friendship graph and its operation
Authors: Kurniawati S , Slamin  , Dafik  , Wardani D A R , Albirri E R
Published: March 2020

Let G = (V, E) be a simple, finite, and connected graph of order n. A dominating set D ⊆ V(G) such every vertex not in D is adjacent to at least one member of D. A dominating set of smallest size is called a minimum dominating set and it is known as the domination number. The domination number is the minimum cardinality of a dominating set and denoted by γ(G). The other hand, for an ordered set W = {w
1, w
2, w
3, …, wk
} of vertices and a vertex v in a connected graph G, the (metric) representation of v with respect to W is the k − vector r(v|W) = (d(v, w
1), d(v, w
2), d(v, w
3), …, d(v, wk
)), where d(x, y) represents the distance between the vertices x and y. The set W is a resolving set for G if distinct vertices of G have distinct representations with respect to W. A resolving set of minimum cardinality is called a minimum resolving set or a basis and the cardinality of a basis for G is its metric dimension dim(G). A Set of vertices of a graph G that is both resolving and dominating is a resolving dominating set. The minimum cardinality of a resolving dominating set is called resolving domination number γr
(G). In this paper, we discussed the resolving domination number of friendship graphs and its operation.
Resolving domination number of helm graph and it’s operation
Authors: Hayyu A N , Dafik  , Tirta I M , Adawiyah R , Prihandini R M
Published: March 2020

Let G be a connected graph. Dominating set is a set of vertices which each vertex D has at least one neighbor in G. The minimum cardinality of D is called the domination number G(γ(G)). The metric dimension of G is the minimum cardinality of a series of vertices so that each vertex G is uniquely. It is determined by the distance of vector to the selected vertices. A dominating metric dimension set is a set of vertices has a dominating set D which has condition of metric dimension. The minimum cardinality is called the resolving domination number of G, (DomDim
(G)). We analyze the resolving domination number of helm graph and it’s operation. We study combine the existence concept of dominating set and metric dimension. We have obtained the minimum cardinality of dominating number.
Modeling of development of performance evaluation on health information systems implementation
Authors: Sardjono W , Selviyanti E , Perdana W G , Maryani
Published: March 2020

In any organization, the appropriate use of information systems will have an impact on the effectiveness of day-to-day operations. To find out how the performance of an information system is necessary to do an evaluation of the implementation of which has been run. This study evaluates the implementation of information systems in the Maternity Hospital St. Yosef. By adopting PIECES framework as an evaluation, primary data collection is done through questionnaires distributed. Of the some respondents who collected the data used factor analysis to get factors and indicators affect the successful implementation of system and get right model for evaluation of the Maternity Hospital in St. Joseph. The results showed that the factor of ease use and suitability to needs of a positive effect on the success, while reliability of system negatively affect the success. On a scale of 0-100 obtained an un-expected value of system performance is at 45.75 and the expected value of performance of the system is equal to 83.77.
On rainbow antimagic coloring of some special graph
Authors: Jabbar Z L Al , Dafik  , Adawiyah R , Albirri E R , Agustin I H
Published: March 2020

Let G = (V, E) be a connected and simple graphs with vertex set V and edge set E. A coloring of graph G is rainbow connected if there is a rainbow path that connects each two vertices of graph G. The minimum k such that G has a rainbow-connected using k colors of the edges of G is the rainbow connection number rc(G) of G. A graph with a bijective mapping f : E → {1, 2, …, |E|}. The sums of each paired vertex has distinct value, defined as ∑
e
∈E(v)f(e). Thus, the function of G clearly an antimagic labeling if the sums of each paired vertex has distinct value. It is clear that rainbow antimagic connection number is the smallest number of colors which are needed to make G rainbow connected, denoted by rcA
(G). A bijection function f : E → {1, 2, …, |E|} is called a rainbow antimagic labeling if there is a rainbow path between every pair of vertices and for each edge e = uv ∈ E(G), the weight w(e) = f(u) + f(v). A graph G is rainbow antimagic if G has a rainbow antimagic labeling. In this paper, we will analyze the rainbow antimagic coloring of related book graph.
The analysis of creative thinking skills of junior high school students in learning natural science on environmental pollution materials with different academic skills
Authors: Maharani N , Suratno  , Sudarti
Published: March 2020

Pollution occurs when harmful substances are released into the environment. This study aims to analyze the creative thinking skills of junior high school students in natural science learning based on differences in students’ academic abilities. This research is a descriptive study involving 118 8th grade students of junior high school. Students are classified into three categories; students with high, medium, and low academic ability. The results is academic skills directly proportional to creative thinking skills. Data shows that students with high academic abilities have high creative thinking skills. This is indicated by the average calculation result of all four elements of creative thinking by 33%. The students with moderate academic ability are also known to have creative thinking skills in the medium category, which is indicated by the average calculation result of the four elements of creative thinking by 26%. Likewise, students with low academic ability, have creative thinking skills in the low category with a percentage of 23%
Shifting of perfective metacognitive activities in solve math problems
Authors: Hastuti I D , Surahmat  , Sutarto  , Dafik
Published: March 2020

This study aims to describe the shift in the perfective metacognitive activities of students in solving mathematical problems. The subjects in this study were students who experienced a shift in the perfective metacognitive activities of students in solving mathematical problems. This research is a qualitative research with a descriptive exploratory approach. The instrument used was a mathematical problem solving task type MEA (Model Eliciting Activities), interview guidelines, and questionnaires. Data collection procedures in this study consisted of five stages. In the first stage, the researcher asks each student to solve the problem given while thinking alouds. The second stage, students are asked to solve the same problem as a group while discussing with two other students, then researchers observe and listen to the results of think alouds as well as the results of conversations during group discussions from a computer screen. The third step is giving the questionnaire. The fourth stage is task-based interviews to explore information that needs to be confirmed from the results of think alouds and questionnaires. Next to the fifth stage, researchers analyzed data from student work outcomes, think alouds, questionnaires, recorded conversations of students during discussions, and interviews. Based on the results of the study, there were students who experienced a shift in perfective metacognitive activity in solving mathematical problems.
Students’ creative thinking skills in solving mathematical logic problem with open-ended approaches
Authors: Kholil M
Published: March 2020

Mathematical logic is one of the important mathematics lessons to improve reasoning in solving daily problems. Creativity is needed in solving mathematical logic problems. This research aimed to analyze students’ creative thinking skills in solving mathematical logic problems. The approach used in this research is the open-ended approach. This research is a qualitative descriptive study. The subjects in this research were students at Mathematics Educations study program in Faculty Education and Teacher Training at State Islamic Institute of Jember. Data collected in this research are test results with open-ended question types, interview results, observation results, and documentation during the research activities. The data analysis technique used in this research is the Miles and Huberman analysis model. The result of data analysis showed that the levels of students creative thinking skills were classified as follows: 8.33% of the students categorized as “Slightly creative”; 30.56% of the students categorized as “Moderately creative”; 41.67% of the students categorized as “creative”; and 19.44% of the students categorized as “very creative”. From these results it appears that most of student have the creative thinking skills. This means that the open-ended approach can be used as a reference in teaching and learning activities to increase the ability to think creatively.
Integrating GeoGebra into geometry space learning: a lesson from traditional cultural festival tumpeng sewu
Authors: Safrida L N , Setiawan T B , Susanto  , Yudianto E , Ambarwati R , Putri I W S
Published: March 2020

Some studies state that mathematical ideas sometimes could be derived through a cultural-based habit or activities. This research was investigated how students are struggle in making sense three-dimensional shapes concepts by observing how Osing people doing a simple mathematical explanation in their celebrating annual festival called Tumpeng Sewu (Thousands of Tumpeng). Besides, as one of the dynamic software, GeoGebra software seems to be a great idea to be integrated into university-level geometry learning. To that end, a study was conducted to know how the Osing ways in making tumpeng to be collected and presented during the Tumpeng Sewu. Morover, it can help mathematics education students at University of Jember to do a better way in making sense of three-dimensional shapes concepts. After doing some research phases, the result of the statistical analysis shows the differences between pre-test and post-test score. In addition, a positive response related to the use of GeoGebra is achieved and the use of GeoGebra during geometry space learning can help in setting up effective geometry learning.
The analysis of metacognitive in biology lesson to senior high school students with different learning interest
Authors: Riftana R J , Suratno  , Wahyuni D
Published: March 2020

Biology is a science with a broad scope and provides learning experiences that encourage students to become independent learners. Interest and development of thinking skills are needed in learning. Metacognitive is an important aspect of achieving learning competence and building a student’s character as an independent learner. Metacognitive motivates the students to have awareness of something they know and about something they don’t. This research aims to analyze the metacognitive of the science and the social students in biology lessons, and to compare the metacognitive of those different students. This research was conducted at high schools in Jember. This research was a qualitative descriptive research by using mix methods (combine the qualitative and quantitative approach). Qualitative data were descriptive and they were based on observations to students whereas the quantitative data were based on the results of the Metacognitive Awareness Inventory (MAI) test. There was two MAI indicators used in this research, knowledge about cognition and regulation of cognition. The result of this research showed that the metacognitive average of science students was 64.6785, meanwhile the social students reached 56,3533, which means the metacognitive of science students was 17% higher than social students.
The anxiety of students on deduction level in proving the geometry theorem
Authors: Ni’mah K , Susanto  , Sunardi  , Hobri
Published: March 2020

This study aims to describe the anxiety of university students who were on deduction level in proving the geometry theorem. This was conducted to find out student anxiety, so that it can be handled and anticipated. Anxiety is the state of feeling students’ uncomfortable, worried, and afraid. The type of this research is qualitative-descriptive. The subjects were taken as many as 3 students who were at the deduction level based on the Van Hiele geometry ability test. Data was collected through theorem proofing tests and interviews conducted after the test. The results of this study indicate that the symptoms of cognitive anxiety (uneasy, nervousness and confuse) occur when the subject begins to understand the problem in the theorem. Symptoms of physiological anxiety (sweating, body feels hot) and behavioral symptoms (physical tension, impatience) appeared when the subjects connected the elements of proof on theorem in geometry. The results of this study are expected to be used by students or lecturers, especially in learning to teach how to proof theorem in geometry.
Validity of physical learning module based on multiple representation and higher order thinking skills
Authors: Mahardika I K , Rasagama I G , Indrianto L , Doyan A , Supeno
Published: March 2020

This aims of research to determine the validity of multi-representation based physics learning modules that can improve higher order thinking skills (HOTs). Physics learning modules are very necessary to realize student-centered learning. A good physics learning module is a module that has been validated with certain criteria. This research is a development study using the McKenney model. Data collection techniques in this study are started from the needs analysis, then build a draft module so that it is ready to be validated by media and material experts using a validation questionnaire. This research produced a multi-representation based physics learning module to improve valid HOTs that are ready to be used in learning physics at school.
Students’ error analysis in solving geometry problems based on the mathematical anxiety under the theory of van hiele
Authors: Dewi A K , Sunardi  , Irvan M , Hobri  , Rohmah F N
Published: March 2020

The aim of this research was to describe the students’ error analysis in solving geometry problems based on the mathematical anxiety under the theory of Van Hiele. This research was a descriptive research with a qualitative approach. The data were collected by using observation, test, and interview methods. The subjects were selected by using classification test of Van Hiele’s level. Van Hiele test was given to 202 students of class VIII of SMP Negeri 2 Purwoharjo. Thus, it obtained the students who were at the visualization level of 49.5%, analysis level of 11.9%, and informal deduction level of 1%. The results of this research showed that the students of visualization level experienced errors in five stages, namely reading error, reading comprehension, transform error, process skill, encoding and showed the anxiety symptoms with indicators of physiological, cognitive and affective. The students of analysis level experienced errors in four stages, namely reading error, transform error, process skill, encoding and showed the anxiety symptoms with indicators of physiological, cognitive and affective. The students of informal deduction level experienced errors in three stages, namely transform error, process skill, encoding and showed the anxiety symptom with cognitive indicator.
Analysis of students’ critical thinking skills on social arithmetics with jumping task
Authors: Hobri  , Oktavianingtyas R , Trapsilasiwi D , Murtikusuma R P , A’yun Q
Published: March 2020

This study describes critical thinking skills of students at MTsN Banyuwangi in solving social arithmetic problems based on jumping tasks. The critical thinking indicators used in this study are focus, reason, inference, situation, clarity, and overview. The data collection methods used are tests and interviews. The subjects studied further in this study were 6 students. The six students consisted of two students from each category of high, medium and low ability. This study used a qualitative approach with a type of descriptive research. The results show that students with high category critical thinking skills can fulfill 6 criteria of critical thinking, medium category students can meet focus, reason, inference, and situation criteria, while students of low category critical thinking can meet focus and situation criteria. Thus, it can be concluded that learning using the jumping task method helps the students’ critical thinking skills become better.
Critical thinking dispositions in solving recreational mathematics problem: opposite corners
Authors: Hussen S , Monalisa L A , Murtikusuma R P , Safrida L N , Oktavianingtyas E , Nurdin E A , Rini A D P
Published: March 2020

The purposes of this research were to determine the critical thinking dispositions in solving recreational mathematics. The subjects were students of first year of bachelor’s degree mathematics education study program. This study used a descriptive qualitative method. 4 participants selected based on 4 levels of combinatorial thinking after solving the recreational math problem that is the opposite corner. The test results were analyzed based on disposition toward critical thinking and combinatorial thinking processes. The indicators used were truth-seeking, open-mindedness, analyticity, systematics, confidence in reasoning, inquisitiveness, the maturity of judgment. The data analysis showed the thinking process in solving problems showed that students were able to bring up indicators of critical thinking disposition through each stage of completion.
Development of structured modules to improve the mathematical understanding of the circle concept in class VIII Mataram 17 junior high school
Authors: Mahsup  , Anwar Y S
Published: March 2020

The purpose of this research is to produce a structured module product to improve the understanding of the concept of circles in class VIII Mataram 17 Junior High School. The development model used in the development of this learning module is Dick and Carey’s model of development. The type of data on this development is quantitative and qualitative data. Data collected in the form of polls, interviews, and tests. While the data analysis using qualitative descriptive analysis techniques and descriptive statistical analysis. Based on the expert assessment that the validity of the module content is in the first category with a percentage turnover of 96.4%, and the validity of the learning design is in an outstanding category with a percentage turnover of 93%. The results of the small group trials on the students gave the module assessment in the excellent class with a percentage of 82.05%, while in the field trials, students give evaluation results on the modules are in a proper category with a rate of 80.85%. Results of analysis of pretest and Postes obtained price t count 21.415, T price of table 1.69, which means t count > T table (very significant). Thus learning by using modules can improve the understanding of the circle concept.
Changes of crop failure risks in the United States associated with large-scale climate oscillations in the Atlantic and Pacific Oceans
Authors: Schillerberg Tayler A , Tian Di
Published: March 2020

Regions that produce a large supply of agriculture commodities can be susceptible to crop failure, thus causing concern for global food security. The contiguous United States, as one of the major agricultural producers in the world, is influenced by several large-scale climate oscillations that contribute to climate variability: Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), El-Niño Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and Pacific-North American (PNA). Since local weather conditions are associated with these climate oscillations through teleconnections, they are potentially causing changes of crop failure risks. The objective of this study is to assess climate-induced changes of annual crop failure risks for maize and winter wheat from 1960 to 2016, by analyzing the associations of large-scale climate oscillations with the frequency of crop failure in the rainfed regions of the United States using a Bayesian approach. The analysis revealed that crop failure frequencies showed contrast spatial patterns and different extent under different climate oscillation phases. Among individual oscillations, the positive PNA and negative AMO resulted in the most substantial increase in maize and winter wheat crop failures over a high percentage of climate divisions, respectively. Among oscillation combinations, the positive AMO and negative PDO and the positive AMO and positive PDO resulted in the highest percentage of climate divisions experiencing significant increase of maize and winter wheat crop failures, respectively. Random forest models with climate oscillations accurately predicted probabilities of crop failure, with the inclusion of local surface climate variables decreased or increased the predictive accuracy, depending on regions. These results revealed the plausible drivers of long-term changes of U.S. crop failure risks and underscore the importance for improving climate oscillation forecasting for early warning of food insecurity.
Comprehensive Evaluation and Empirical Analysis of Global Ecosystem
Authors: Ding Shengyue , Chang Chia-kan , Wang Wenqi , Yan Guoyi , Chen Ting , Ke Jun
Published: March 2020

With economic development, people often ignore the changes to the ecological system of the constructed area. However, whenever we change an ecosystem, it is possible to limit or remove ecosystem services. Therefore, we measure the degradation of ecosystem service values before and after a development project by establishing ecological health evaluation and social-ecological economic compound model. Through the establishment and calculation of these models, we find that in order to achieve scientific and sustainable development in a certain region, the restoration value of the ecosystem must be taken into consideration, and the optimal solution of social, ecological and economic composition can be found based on the actual geographical situation. The method in this paper is more concise and intuitive, which has a strong economic measurement effect on the policy of minimum ecological damage in current engineering construction, and the optimal solution can be find according to engineering requirements to ensure the balance between environment and construction.
Discussion on Sampling Methods in Island Vegetation Survey of Species Richness and Biomass
Authors: Zhang Liting , Sun Xinyu , Zhang Ying , Su Jie , Liu Xiangyu , Sun Jiawei
Published: March 2020

Vegetation is an important part of island ecosystem. Due to the distinction of vegetation from mainland vegetation, the existing mainland sampling method cannot be entirely applied to the islands. Hence it is necessary to combine the existing mainland vegetation sampling methods, and to select different types of islands to test the key links of the methods, and to accumulate data for statistical analysis, so as to obtain the technical methods suitable for island vegetation sampling. Aiming at the application of quadrat method in island vegetation survey, this paper chooses two different survey areas of North Changshan Island as examples, compares different quadrat setting methods, clarifies how to set the quadrat in different kind of slope direction, slope position, and types of plant communities, how much the number of quadrat, and how much the area of quadrat can be set in order to represent the island more completely. Finally, the optimal principle of setting up the island quadrat is determined, which provides scientific basis for the effective selection of the quadrat setting in the investigation of island vegetation community.
Study on the Effective Method of Optimizing PCR-DGGE by adding PCR enhancers
Authors: Zhao Jirui , Wang Shuang , Wei Daiyan , Chen Xiaoming , Xu Yuan , Zhao Wei , Ma Nan , Zhan Xianhui , Jia Xiuyan , Sun Meng , Liu Jiahong
Published: March 2020

PCR-based denaturing gradient gel electronic (PCR-DGGE) has become a frequently used method in the determination of bacteria community in water, soil and other habitats. However, the precision and the integrality of microbiology community by this approach should be reinforced and the key for this is optimization on PCR for which is the basis of PCR-DGGE. Aiming at this, PCR enhancer combinations were applied in both two amplification rounds of PCR-DGGE in this study. The results showed that many new bands were produced and originally weak bands were intensified after the addition of PCR enhancer combinations, particularly DBD-2 (1% DMSO, 0.4 M Betaine, 1mM DTT) in PCR amplification buffer system. Virtually all newly appeared bands in DGGE were probably derived from the bacteria with high GC% content (60%). Thus the major optimization on PCR-DGGE was PCR enhancer may contribute to decreasing annealing temperature and improving the PCR product yields of the high-GC%-contented bacteria. In conclusion, PCR enhancers could remarkably improve the amplification efficacy, particularly for using the complex and tiny environmental DNA or weaker bands from DGGE as PCR template, and furthermore increase the detected bacterial species in PCR-DGGE. Therefore we strongly proposed that the PCR enhancer combination be routinely applied in PCR-DGGE for the bacterial community determination.
Biogenic Isoprene Emissions and Temporal and Spatial Distribution Characteristics in Tianjin
Authors: Li Jing , Liu Maohui , Liu Jiahong , Yue Yayun , Sun Meng
Published: March 2020

Based on the localized improved GLOBEIS model, the total amount of biogenic isoprene emissions in Tianjin in 2018 was estimated and the temporal and spatial distribution characteristics were analysed by using the land-use type data interpreted from remote sensing images and the observed hourly meteorological data. The results show that the total amount of biogenic isoprene emission in Tianjin reached 694 t (calculated by C, the same below) in 2018, and the emission intensity was 0.06 t/km2/a. The diurnal, monthly and seasonal variations of biogenic isoprene emissions are obvious: High at noon and low at night; Highest in August and lowest in January; Emissions in summer are the largest while the smallest in winter. The spatial characteristics are closely related to land-use types, and the emissions of biogenic isoprene are mainly concentrated in the forest areas, and the emissions are small in the Urban districts of the city and Binhai New District. Finally, the uncertainty sources of biogenic isoprene emission estimation were analysed.
Experimental Study on Optimized Adjustment of Ammonia Spraying in 300MW Unit
Authors: Liu Bo , Zhang Peng , Li Sha , Wei Hongge , Zhu Yue
Published: March 2020

The experimental study on the optimization of ammonia injection in the denitration system of a 300MW coal-fired unit in a power plant. Under the premise of meeting the ultra-low emission standards of environmental protection requirements, the ammonia injection amount of the denitration device can be reasonably adjusted by adjusting the opening degree of the manual ammonia valve. It significantly improves the uniformity of the NOx concentration distribution in the denitration system. It eliminates local ammonia slip peaks and reduces ammonia slip rate. The deviation of the NOx concentration distribution at the outlet of the denitration system decreased by 70.1% and 46.7%, respectively. The ammonia slip concentration decreased by an average of 0.80 mg/m3 and 1.05 mg/m3. Ammonia consumption decreased by 8 kg/h and 15 kg/h, respectively.
Design of PM2.5 Air Quality Detection System based on Median Value Average Filtering Algorithm and OLED Screen
Authors: Zhang Xinwei , Zhang Longqing , Gong Shu , Tian Liwei , Zhang Yanghong , Yang Lei , Jia Zhongning
Published: March 2020

Environmental pollution problems are becoming more and more serious, air pollution and air quality problems, has become a hot spot of special concern. PM2.5 is an important indicator of air quality testing .This design uses GP2Y1010AUOF dust sensor,SHT20 temperature and humidity sensor and so on, transmit the signal to ATMEGA328PAUM SCM. The system detects the detection through the analog to digital conversion and median value average filtering algorithm. The PM2.5 Concentration values are displayed to OLED screen, alert if the detection value exceeds the standard. Experiments show that the system is running well, with a measurement accuracy of 4.8%, and has a certain stability and practicality.
Analysis of factors affecting carbon emissions in Tianjin
Authors: Zhao Xuan
Published: March 2020

According to the IPCC carbon emission calculation method, Tianjin's carbon emissions were calculated from 2000 to 2017, and the main factors affecting carbon emissions were analyzed and studied using the LMDI model system. The results show that Tianjin’s energy consumption carbon emissions continued to increase from 2000 to 2017, and have declined significantly in recent years. Among the carbon emissions of energy consumption, coal produced the most carbon emissions, followed by crude oil and coke; Among the factors that affect Tianjin’s carbon emissions from 1997 to 2017, economic development has the largest positive effect, and energy consumption intensity has the largest negative effect; Tianjin’s energy consumption is unreasonable, and it mainly depends on coal, crude oil and other energy sources.