bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rubus ellipticus (yellow Himalayan raspberry).
Authors: Rojas-Sandoval Julissa , Pasiecznik Nick 
Published: March 2021

Abstract

The invasiveness of the thorny shrub R. ellipticus has been most thoroughly documented on the island of Hawaii. Since the first report of its escape from cultivation in 1961, this species has become established in mid-elevation forest and pastureland, forming tall, dense thickets. Seeds are sufficiently viable following passage through the digestive systems of birds and mammals to readily germinate in pastureland and undisturbed forest sites where they are deposited. Several introduced frugivorous birds and feral mammals, are capable of dissemination of seeds via ingestion of the succulent fruit and birds in particular, are able to carry seeds to adjacent sites. It can also spread by suckers and resprouts vigorously after fire. The ability to colonize undisturbed native forests and displace native species is cause for alarm among resource managers of Hawaii Volcanoes National Park and other natural reserves of Hawaii, comprised of highly ecologically sensitive systems. It has been listed as one of the world's 100 worst invasive alien species (Lower et al., 2000), and is a prohibited species in South Africa (NEMBA Category 1a).
Chemical ordering as a precursor to formation of ordered δ-UZr2 phase: a theoretical and experimental study
Authors: Ghosh P S , Arya A , Basak C B , Poswal A K , Banerjee S 
Published: March 2021

Abstract
A combination of special quasi-random structure (SQS) analysis, density functional theory (DFT) based simulations and experimental techniques are employed in determining the transformation pathway for the disordered γ-(U, Zr) phase (bcc structure) to transform into the chemically ordered δ-UZr2 phase (C32, AlB2 type structure). A novel Monte-Carlo based strategy is developed to generate SQS structures to study the β → ω displacive phase transformation in A1−x
B
x
binary random alloy. Structures generated with this strategy and using DFT calculations, it is determined that (222)bcc plane collapse mechanism is energetically unfavorable in chemically disordered environment at UZr2 composition. A mechanically and dynamically stable 24 atom SQS structure is derived which serves as a structural model of chemically ordered δ-UZr2 structure. Finally, a thermodynamic basis for the mechanism of the γ to δ transformation has been established which ensures chemical ordering is a precursor to the subsequent displacive transformation to form chemically ordered δ-UZr2 structure.
High rate capabilities and remarkably cycle-stable flexible pseudocapacitors based on nano-coralloid arrays with sulfide vacancies enhanced Ni−Co−S nanoparticle covering
Authors: Hao Zongbin , Yang Junchi , Yuan Changsheng , Chen Yanfeng , Ge Haixiong , Tang Shaochun , Cui Yushuang 
Published: March 2021

Abstract
Both poor electron conductivity and low ion diffusion of electrode materials are two main issues limiting the rate performance of pseudocapacitors. The present work reports the design and fabrication of hierarchically nano-architectured electrodes consisting of sulfide vacancies enhanced Ni–Co–S nanoparticle covering bent nickel nano-forest (BNNF). We propose new insight into vastly increased ion-accessible active sites and fast charge storage/delivery enhanced the reaction kinetics. The Ni−Co−S@BNNF electrode exhibits extremely high rate performance with 90.1% capacity retention from 1 to 20 A g−1, and even still remains 83.6% capacity at 40 A g−1, much superior to reported NiCo2S4–based electrodes. The high rate performance is attributed to the unique nano-architecture providing increased ion availability of electrochemically active sites and high conductivity for fast electron transport. Especially the electrode achieves remarkable long-term cycle stability with more than 100% initial capacity value after 5000 cycles at 5 A g−1 and exhibits excellent cycle reversibility even at 20 A g−1. Goog cycle stability should be attributed to the sulfide vacancies in Ni−Co−S nano-branches and the electrode architecture sustaining structural strain during fast redox reactions. An asymmetric pseudocapacitor applying such electrode achieves a high energy density of 99.9 W h kg−1 and exhibits superior cycling stability at a high current density of 20 A g−1. This study underscores the potential importance of developing nanoarrays covered with highly redox-active materials with increasing ions/charge kinetics for energy storage.
Development of PVDF nanocomposite with single-walled carbon nanotubes (SWCNT) and boron nitride nanotubes (BNNT) for soft morphing actuator
Authors: Lee Ji Eun , Nam Ryan , Jakubinek Michael B , Ashrafi Behnam , Naguib Hani E 
Published: March 2021

Abstract
Soft morphing actuators can deliver a range of displacements whilst being flexible and lightweight, making them advantageous over traditional mechanical actuators. Piezoelectric polymer polyvinylidene fluoride (PVDF) is combined with nanofillers to achieve superior soft actuator with the nanocomposite than with solely the polymer. This paper investigates and compares the distinctive effects of 1D nanofillers: single-walled carbon nanotubes (SWCNTs) and boron nitride nanotubes (BNNTs), through the promotion of crystal structures and polar β crystals of PVDF, and consequently its actuation ability. Results showed that 80 µm thick 2 wt.% SWCNT/PVDF clamped at both ends with a 10 mm span achieved a high deflection per applied electric field of 414 µm (V mm−1)−1 and deflection of 570 µm. This was due to a combination of fabrication method, physical geometry, and large surface area of SWCNTs leading to enhanced degree of crystallinity, β crystals, dielectric constant, and conductivity. The increase in both overall crystal formation and targeted β crystals lead to a high total β crystal content of 35%, and the conductivity lead to a low applied electric field of 1.3 V mm−1. BNNT/PVDF was able to undergo electric poling due to its insulating nature. BNNT/PVDF achieved a deflection magnitude per applied electric field of 2.9 µm (V mm−1)−1, due to a much higher electric field (90–150 V mm−1). This corresponded to a deflection magnitude of 260 µm, which was a 520% increase from only stretched BNNT/PVDF samples. Both nanocomposites displayed large scale actuation that is greater than the 70 µm deflection (0.9 µm (V mm−1)−1) observed for pure PVDF of same geometry and setup.
Cooperator driven oscillation in a time-delayed feedback-evolving game
Authors: Yan Fang , Chen Xiaojie , Qiu Zhipeng , Szolnoki Attila 
Published: March 2021

Abstract
Considering feedback of collective actions of cooperation on common resources has vital importance to reach sustainability. But such efforts may have not immediate consequence on the state of environment and it is unclear how they influence the strategic and environmental dynamics with feedbacks. To address this issue, we construct a feedback-evolving game model in which we consider the growth capacity of resources and the punishment efficiency on defectors who do not provide returns to the environment. Importantly, we further assume a delay in adopting the contribution of cooperative individuals to environmental change in our model. We find that when this contribution amount from cooperators’ endowment is fixed, the time delay has no particular consequence on the coevolutionary dynamics. However, when the return is proportional to their endowment, then the time delay can induce periodic oscillatory dynamics of cooperation level and environment. Our work reveals the potential effects of time delay of cooperative actions on the coevolutionary dynamics in strategic interactions with environmental feedback.
A modified Euler–Maclaurin formula in 1D and 2D with applications in statistical physics
Authors: Guo Jihong , Liu Yunpeng 
Published: March 2021

Abstract
The Euler–Maclaurin summation formula is generalized to a modified form by expanding the periodic Bernoulli polynomials as its Fourier series and taking cuts, which includes both the Euler–Maclaurin summation formula and the Poisson summation formula as special cases. By making use of the modified formula, a possible numerical summation method is obtained and the remainder can be controlled. The modified formula is also generalized from one dimension to two dimensions. Approximate expressions of partition functions of a classical particle in square well in 1D and 2D and that of a quantum rotator are obtained with error estimation.
On the equivalence between the kinetic Ising model and discrete autoregressive processes
Authors: Campajola Carlo , Lillo Fabrizio , Mazzarisi Piero , Tantari Daniele 
Published: March 2021

Abstract
Binary random variables are the building blocks used to describe a large variety of systems, from magnetic spins to financial time series and neuron activity. In statistical physics the kinetic Ising model has been introduced to describe the dynamics of the magnetic moments of a spin lattice, while in time series analysis discrete autoregressive processes have been designed to capture the multivariate dependence structure across binary time series. In this article we provide a rigorous proof of the equivalence between the two models in the range of a unique and invertible map unambiguously linking one model parameters set to the other. Our result finds further justification acknowledging that both models provide maximum entropy distributions of binary time series with given means, auto-correlations, and lagged cross-correlations of order one. We further show that the equivalence between the two models permits to exploit the inference methods originally developed for one model in the inference of the other.
The influence of cooperative model two stay-two stray assisted by digital literacy to improve student’s metacognitive at MTs Muhammadiyah Sukarame Bandarlampung
Authors: Anggraini W , Suryani Y , Kristiana Dewi N A , Ida Aflaha D S , Octafiona E , Istiqomah A Amalia 
Published: March 2021

Abstract
The purpose of this study was to determine the influence of cooperative model two stay-two stray assisted by digital literacy to improve student’s metacognitive at MTs Muhammadiyah Sukarame Bandarlampung. The research conducted was quasi-experiment research with a non-equivalent control-group design. The method used was quantitative and the sampling technique used was the saturated sampling technique. The sample in this study was class VIII U1 as the experimental class that received the treatment of Two-Stay-Two-Stray assisted by digital literacy and class VIII U2 as the control class that was treated using the Group Investigation model. The results of this study revealed that the average metacognitive ability of the experimental class was 73,04 and the control class was 67,56. Based on the result of the t-test, Two Stay-Two Strays assisted by digital literacy affects the students’ metacognitive ability with the results of tobserved = 3,17 and tcritical = 1,66 which indicated that H1 is accepted. Thus, the Two Stay-Two Strays cooperative model assisted by digital literacy affected the metacognitive ability of MTs Muhammadiyah Sukarame Bandarlampung students. Increased metacognitive abilities affected the improvement of students’ learning outcomes.
Students’ Critical Thinking Skill in Solving Geometry Problems Viewed from Their Emotional Intelligence
Authors: Rejeki Suprapti , Riyadi  , Siswanto  
Published: March 2021

Abstract
Critical thinking skills are important in solving geometric problems. The intelligence aspect also influences problem-solving. Therefore, this study aimed to describe students’ critical thinking skills in solving geometric problems in terms of emotional intelligence. This research was a qualitative descriptive study with 6 students as the research subject. Researchers used triangulation methods to collect data and determine the validity of the data, namely questionnaires, tests, and interviews. The results showed that as many as 32.26% of students who had low emotional intelligence could not do all the questions correctly, 32.26% of students who had medium emotional intelligence could not work on the questions with indicators of identify existing biases and compile and analyze arguments, and 35.48% of students who have high emotional intelligence cannot work on questions with indicators of make conclusions and analyze the veracity of statements. This was due to a lack of understanding of the definitions, formulas, concepts, and existing information to find information used in solving problems. So, it is necessary to provide more complex practice questions and emphasize understanding of the concept of geometry so that students can use ideas to solve non-routine questions.
The Influence of Web-Centric Course in Learning Basic Mathematics toward the Digital Literacy Skills of Preservice Mathematics Teachers
Authors: Utomo D W , Barathayomi W , Pujiastuti H , Haryadi R 
Published: March 2021

AbstractThis study aimed to improve digital literacy skills through web-centric course learning for preservice teachers of Sultan Ageng Tirtayasa University. The method used in this study was a quasi-experiment through a pre-test and a post-test group design. The instrument used in this study was a digital literacy skills test in the Mathematical Profession English course, which was in the form of 20 essay tests. The material tested was the result of learning basic mathematics. In the process of learning mathematics, the preservice mathematics teacher had been introduced to number operations using English as opposed to the usual medium process of learning mathematics in the Indonesian Language. Furthermore, the instrument was tested on 20 preservice mathematics teachers of the said university. The average N-gain result for preservice mathematics teachers was 0.56 which belonged to the moderate category. So, it can be concluded that digital literacy skills in learning mathematics can be improved through the course.
Digital electronics practicum with “Logisim” application with zoom-assisted
Authors: Dewantara Dewi , Wati Mustika , Kusuma L W , Rusmawati I , Melisa  
Published: March 2021

AbstractThe purpose of this study is to describe the quality of digital electronics practicum with “Logisim” application with zoom-assisted. The quality is seen from the effectiveness and response of students to digital electronics practicum with “Logisim” application with zoom-assisted. This research used descriptive research method. The research subjects were 50 Physics Education Students at Universitas Lambung Mangkurat who took Digital Electronics course. The data about quality is seen from the effectiveness and response of students. The effectiveness of digital electronics practicum with “logisim” was obtained from the practicum assessment sheet. Data about student responses were obtained from student response questionnaires with indicators of format, quality, clarity, and interest. The effectiveness of digital electronics practicum with “logisim” shows that there were no students who did not pass the practicum. Student response shows that students have a positive response to practicum activities. Therefore, it was concluded that the digital electronics practicum with logisim application has good quality if its implementation is assisted by Zoom. In the case of online learning due to a pandemic, zoom can be used to facilitate the digital electronics practicum with logisim application. Further research is needed to investigate the quality of the practicum when using other media such as google meet, webex, whatsapp group and others.
Hybrid learning on problem-solving abiities in physics learning: A literature review
Authors: Lestari  , Syafril S , Latifah Sri , Engkizar E , Damri D , Asril Zainal , Yaumas Nova Erlina 
Published: March 2021

Abstract
Difficulty in understanding and applying physics concepts is a problem that is often encountered in learning. Therefore, problem-solving abilities are needed in physics learning. The ability to solve problems in physics learning is an ability that students must have to find solutions to a problem, especially in understanding and applying physics concepts. Problem-solving in physics learning is certainly better if teachers explain directly. However, in certain situations such as the Covid-19 pandemic, teachers cannot help students directly. In hybrid learning, face-to-face learning can still be done virtually. Research in the last 10 years publish through reputable journals in various countries in the word (Taiwan, Belgia, Jerman and Indonesia) were are analyzed for the purpose of this article with the help of NVIVO 12 Software. Results of the analysis from various articles found that hybrid learning is a learning model that can be used as an alternative to help students solve problems in physics learning. For this reason, hybrid learning needs to be given serious support for the current learning process and teachers need to be given special and continuous training in the use of this learning model the learning process can be carried out well even in difficult situations like today.
Impact of Climate Change on Coastal Communities in Tanggamus Regency
Authors: Yanfika Helvi , Viantimala Begem , Mutolib Abdul , Listiana Indah , Diana Widyastuti Raden Ajeng , Rahmat Ali 
Published: March 2021

Abstract
Global warming is a gradual increase in the earth’s temperature due to greenhouse gas emissions. Climate change impacts various sectors and is very complicated because it covers various aspects of human life. In the marine sector, climate change promotes rising ocean temperature and sea levels, increasing the frequency and intensity of extreme weather. This study was aimed to: (1) analyze the impact of climate change on the business of processed fisheries in Tegineneng village, Limau subdistrict, Tanggamus Regency; (2) analyze adaptation strategies undertaken by fish processors in conducting business amid of climate change. This study employed a survey as the study method. Respondents in this study were traditional fish processing in Tanggamus Regency. The impact of climate change on processed fisheries products was analyzed by using descriptive analysis and SWOT analysis. Climate change perceived by fish processors includes; the declined fish caught, uncertain fish harvest season, and further fishing area. The results showed that climate change impacted on the decreased processed products due to declined fish caught. Development strategies that need to be performed are diversification of processed products, improvement of processed product quality to prolong the product shelf life, and marketing network.
The effectiveness of blended learning-based scaffolding strategy assisted by google classroom toward the learning outcomes and students’ self-efficacy
Authors: Suryani Y , Ningrum A R , Hidayah N , Dewi N R 
Published: March 2021

AbstractThis study was aimed to determine the effectiveness of a blended learning-based scaffolding strategy assisted by Google Classroom to improve students’ learning outcomes and self-efficacy in the Physics Lesson Planning course. This study employed the quasi-experimental method with one group pretest-posttest design. The samples of the study were 77 students of Physics Education, UIN Raden Intan Lampung in the academic year of 2019/2020. The instruments used were a questionnaire to investigate students’ responses toward the learning process, a questionnaire to measure students’ self-efficacy, and a test to measure students’ learning outcomes. The data were analyzed using descriptive analysis techniques, n-gain analysis, and effect size analysis. The results showed that the blended learning-based scaffolding strategy assisted by Google Classroom was effective in improving students’ learning outcomes with the n-gain and the effect size in medium category. The percentages of students’ self-efficacy in class A, class B, and class C were 68%, 60%, and 59% respectively. It was concluded based on the indicators of students’ learning outcomes improvement, students’ high self-efficacy, and students’ positive responses (84%). For further research, the researcher suggests to apply blended learning-based scaffolding strategy assisted by Google Classroom in other branches of science.
Use of management frameworks and risk assessment for flood handling in some countries: A meta-analysis
Authors: Utami Dian , Febriyanti Vina 
Published: March 2021

Abstract
Flood is one of the natural disasters that occur in Indonesia and cause many losses. Although this disaster is considered frequent and threaten human life, the countermeasures and prevention are still not optimal. So that when the flood hit, there were still many people who suffered both physical losses and physical damage. Efforts to handle this flood need to be done through proper and appropriate management and action. Therefore, we need a proper flood risk management and also the cost of flood risk. Through review articles from several countries, information on risk and management frameworks for flood mitigation will be obtained that can be used in flood journals in Indonesia. The method used is meta-analysis, by analyzing data from 12 journal articles from several countries, both developed and developing countries in 2010-2020. The criteria for the country taken as the research sample is having an event that occurs floods in Indonesia
Analysis of rainfall patterns in Kalimantan using fast fourier transform (FFT) and empirical orthogonal function (EOF)
Authors: Nurdiati S , Khatizah E , Najib M K , Hidayah R R 
Published: March 2021

Abstract
Rainfall patterns in Kalimantan are generally divided into 2 types, namely monsoonal and equatorial. The pattern can be determined by analyzing the 6-month frequency of rainfall signal. This analysis has been carried out on general data in Indonesia, but no one has yet examined it in detail in Kalimantan. Therefore, this study will analyze the 6-month frequency signal and rainfall patterns spatially and temporally in Kalimantan using TRMM 3B42RT as the main data. The Fast Fourier Transform (FFT) method is applied to analyze the 6-month frequency of rainfall signal, while the Empirical Orthogonal Function (EOF) method is applied to reduce data and obtain the main pattern of rainfall in Kalimantan. The results of FFT analysis in 15 cities of Kalimantan show that the rainfall pattern in Samarinda, Sendawar, Tarakan, Tanjungselor, Malinau, Pangkalanbun, Pontianak, Ketapang, and Sintang are an equatorial type, while a monsoonal type appear in Balikpapan, Palangkaraya, Purukcahu, Banjarmasin, Kotabaru and Barabai. Moreover, based on the results of FFT and EOF analysis, most areas in West, East and North Kalimantan have an equatorial rainfall pattern. Meanwhile, most areas in Central and South Kalimantan have a monsoonal rainfall pattern.
The application of perceptron method in predicting student graduation based on several identified key factors
Authors: Masykuri Wafi Sabiq , Khatizah Elis , Bukhari Fahren 
Published: March 2021

Abstract
In this paper, we predicted whether a student succeed to pass their higher education on time or not based on Grade Point Average (GPA) and several indicators related to final year project activities. It was also analysed which indicator that is dominant based on its resulted weight. The process was conducted by using perceptron method, while the data was taken from students of Department of Mathematics, IPB University, enrolled in 2013, 2014 and 2015. Furthermore, the results showed that learning proses accuracy stand at 80.5 % and all mentioned indicators give a positive contribution to students in pursuing on-time graduation except supervised by the lecturer whose field of interest is in line with the student. Additionally, based on the resulted weight for each indicator, student’s GPA has a bigger impact for student to graduate on time.