bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sirtuin 6 protects human retinal pigment epithelium cells from LPS-induced inflammation and apoptosis partly by regulating autophagy
Authors: Liu Jingjing , Liu Dan 
Published: July 2020

Abstract
Lipopolysaccharides (LPS)-induced retinal inflammation is an important factor in retinal diseases. This study was aimed to investigate the effect of Sirt6 on LPS-induced retinal injury. ARPE-19 cells were incubated with LPS to induce inflammation. The cell viability was determined using CCK-8 assay. The mRNA level and protein expression of corresponding genes was detected using qRT-PCR and western blot, respectively. The production of inflammatory cytokines was measured using ELISA kit. The levels of oxidative stress-related factors were measured using their detection kits. Cell apoptosis was observed using TUNEL assay. The results showed that Sirt6 was downregulated after LPS treatment. Sirt6 strengthened LPS-induced autophagy by promoting the expression of LC3II/I, beclin1 and ATG5. Sirt6 treatment significantly inhibited LPS-induced inflammation, oxidative stress and cell apoptosis, which was then partly abolished by 3 MA. These results suggest Sirt6 to be an important regulator for LPS-induced inflammation, oxidative stress, and apoptosis partly by regulating cell autophagy.
Spin-bath polarization via disentanglement
Authors: Rao D D Bhaktavatsala , Ghosh Arnab , Gelbwaser-Klimovsky David , Bar-Gill Nir , Kurizki Gershon 
Published: July 2020

Abstract
The occurrence of any physical process is restricted by the constraints imposed by the laws of thermodynamics on the energy and entropy exchange involved. A prominent class of processes where thermodynamic constraints are crucial involve polarization of nuclear spin baths that are at the heart of magnetic resonance imaging, nuclear magnetic resonance (NMR), quantum information processing. Polarizing a spin bath, is the key to enhancing the sensitivity of these tools, leading to new analytical capabilities and improved medical diagnostics. In recent years, significant effort has been invested in identifying the far-reaching consequences of quantum modifications to classical thermodynamics for such processes. Here we focus on the adverse role of quantum correlations (entanglement) in the spin bath that can impede its cooling in many realistic scenarios. We propose to remove this impediment by modified cooling schemes, incorporating probe-induced disentanglement or, equivalently, alternating non-commuting probe–bath interactions to suppress the buildup of quantum correlations in the bath. The resulting bath polarization is thereby exponentially enhanced. The underlying quantum thermodynamic principles have far-reaching implications for a broad range of quantum technological applications.
Determination of Ethanol in a Distillate Sample of Arenga pinnata by UV-Visible Spectrophotometry
Authors: Febriani Y , Ihsan E A 
Published: July 2020

Abstract
This research aimed to determinate ethanol in a distillate sample of Arenga pinnata. We have determined, by the means of spectrophotometer UV/VIS, ethanol contained by the distillation process of a series of samples. The results of these researches will analyse the ethanol contained in a distillate sample, qualitatively. Experiment method with 12 samples of Arenga pinnata series has been done. The samples found by varying day of the fermentation process and continued with the distillation process. Further, a distillate sample has been measured by UV-VIS Spectrophotometry. Wavelength 277 nm found as maximum wavelength with absorbance range (0.1 A-0.5 A). Samples in day 2nd to day 17th have these data. This means that a sample in day 2nd to day 17th of samples contained ethanol. Furthermore, the percentage of ethanol in a series of samples and the pharmacology effect of palm sugar as hypoglycaemic are still investigating in this research.
Design and Development of Automotive Workshop Application Based on Android and IOS Using Dart Programming Language
Authors: Candra P Baiq Andriska , Ahmad Ramli 
Published: July 2020

Abstract
During this time, most vehicle service can only be done in a garage where every customer who wants to make repairs to them vehicle must bring the vehicle directly to the service shop. Under these conditions it need the use of the latest technology that can facilitate two-way communication between vehicle service providers with consumers. The solution offered in this study is in the form of applications based on Android and IOS that are connected to the internet and GPS (Global Positioning System) for vehicle repair services. With the development of the application services can be done anywhere, and users who need services can easily find out the nearest location of the vehicle service to the point of position of consumers at that real time. With the existence of this application the user does not have to go to the vehicle service shop, but the service can be done at the office, at home even in an emergency on the road though. So the application making it easier to service the user’s vehicle also helped in terms of time.
The Development of E-Learning Use MOODLE as A Multimedia Learning Medium
Authors: Arianti Baiq Desi Dwi , Kholisho Yosi Nur , Sujatmiko Sigit Budi 
Published: July 2020

Abstract
The success of a nation lies in the quality of education that can improve the quality of its human resources. We need human resources who can respond to the development of science and technology. There are many supporting factors to enhance the quality of education; one of them is the use of science and technology. One of the technology utilization in education is using E-learning as a learning medium. Using E-learning in vocational schools is very lacking. Therefore, it is necessary to develop an E-learning as a learning medium for a vocational school. This research aims to develop learning medium using Moodle as a development platform. We use Research and Development (R&D) as a development model. This study focusing on phase 4 (Design validation) of R&D model, two experts involved to validating this product. The results of the validation by experts show that the product qualifies for the next level, with a feasibility percentage of 74.33%.
Implementation of simplex algorithm to optimize toddler’s balanced nutrition needs with minimum costs
Authors: Ruhimat Q A A , Riftana R J , Dharmawan T 
Published: July 2020

Abstract
Nutrition is an important element needed by humans, including toddlers. The unfulfilled nutritional needs can cause several diseases, such as malnutrition and stunting. It was caused because of human inability to fullfill the nutrition needs of all family members with good quality and the lack of parental knowledge about nutritious food ingredients and how to feed properly. It is necessary to optimize the fulfillment of food nutrition for infants with a minimum cost. One of the efforts is to make the right combination of food ingredients with cost minimum so that it can be reached by all levels of society. This research was analyzed using Simplex algorithm with QM for Windows software. The results was obtained in the form of the amount of food that can be consumed by user to fullfill the nutritional intake needs along with the minimum cost.
Learning Device Development with Cooperative Model Of Productive Creative Type To Improve Students’ Motivation
Authors: Hayati Nila , Marlita Linda , Waluyo Edy 
Published: July 2020

Abstract
This study aims to produce mathematical learning tools with a productive creative type cooperative model to increase motivation and mathematical ability of students of class VIII SMP that are valid, practical, and effective. This type of research is development research. This research develops learning tools including Learning Implementation Plan (RPP), Student Worksheet (LKPD), and Learning Outcomes Test (THB) by using the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The research subjects were students of class VIII MTs. NW Lepak. Data analysis was performed by converting the total actual scores obtained into five scale qualitative data. From the results of expert validation, teacher assessment scores, student assessments, and learning achievement tests show that the learning tools developed are valid, effective, and practical.
Use of Information Technology Media on Physical Activities of Students
Authors: Suryansah  , Hariadi  , Suryadi Lalu Erpan 
Published: July 2020

Abstract
Where physical activity is very important for the health of every human being in carrying out daily activities as well as unexpected activities. Activities that are less mobile due to too often playing the virtual world such as online and offline games, internet, watching television too much will lead to the risk of obesity / obesity. Overweight / obesity is considered as a frightening specter and risk factors for various diseases, such as heart disease, hypertension and many others. One effort that is considered to reduce the risk of obesity is to increase physical activity. Physical activity is not only limited to special sports activities, but also other activities that require physical work, such as cleaning the house, sweeping, mopping, washing, walking, dancing, painting, hoeing, walking and so on. This study aims to determine whether there is an influence and how much information technology users on the physical activity of students of SMAN 1 Mantang. This research is a non-experimental research. The subjects in this study were students of class X SMAN 1 Mantang by using cluster random sampling consisting of 5 classes with a total poulasi of 141 students / students categorized as 69 male students and 72 female students. And from the cluster random sampling results obtained 5 classes with a total sample of 100 students. From the results of statistical calculations, it can be concluded that there is no significant effect between the use of information technology on students’ physical activities. Because the data testing carried out shows that r count is smaller than r count table (-.717)> r table (0.197).
The Comparison of Cooperative Learning Method of Rotating Trio Exchange Type and Think Pair Share Type
Authors: Gazali Muhammad , Haiban Hirzi Ristu 
Published: July 2020

Abstract
This study aimed to know which gave better learning outcomes between Rotating Trio Exchange (RTE) and Think Pair Share (TPS) cooperative learning methods on student mathematics learning outcomes. This research used the experiment method. The population in this research was all VII grade students of MTs NW Ketangga Suela in the 2018/2019 school year. The technique of random sampling determined the research sample. Grade of VII-B of MTs NW Ketangga Suela as the experiment class, meanwhile VII-C grade of MTs NW Ketangga Suela as the experiment class 2. The research design used was Randomized Post test Only Comparison Group Design. Data collection technique used learning result test. The data were analyzed using the two-party t test with pollen variants method, Hypothesis results showed that thitung > ttabel that was (4,513> 2,074) namely that Ho is rejected and Ha is accepted, So it could be concluded that there was a difference between the Rotating Trio Exchange (RTE) learning method and the Think Pair Share (TPS) method. Based on the average got, the Rotating Trio Exchange (RTE) method with an average of 77,661 had better learning achievement than the Think Pair Share (TPS) method with an average of 71,217.
The Influence of Audio Visual Based Learning Media on Learning Temboyak Dance
Authors: Hafiz Alwan , Kaelani Aswan 
Published: July 2020

Abstract
The aims of this research is to find out whether there were significant differences between student achievement which is taught using a visual audio media with student achievement in teaching without using media audio visual media in learning pemboyaq dance for VIII grade student in junior high school 2 Keruak in the 2016/2017 academic year. This is an actual experimental research which conducted at class VIII grade in junior high school that consist of 5 classes. The sample in this research were student of class VIII.1 as an experimental group with 28 students consist of 12 boys and 16 girls, and class VIII.2 as a control group with 26 students consist of 11 boys and 15 girls. The sampling technique with random sampling and data analysis using inferential statistic. The test results using statistic obtained number which shows that t-count > t-table or (2.247) > t-table value (2.0095). This hypothesis proposed in chapter II is acceptable. Thus, there is an influence on pemboyaq dance for eight grade students in junior high school.
Exploring Students Mental Computing Based On Number Sense At 7thGrade Junior High School In Ponorogo
Authors: Marga S A , Kusmayadi T A , Fitriana L 
Published: July 2020

AbstractThe ability of number sense possessed by students will affect the performance of these students in determining the strategies used in solving a mathematical problem. Students who have a good number sense will show the mental characteristics of computing possessed. According to Markovits and Shower (1994), there are four levels of mental computation in the way students of solving numbers problems, namely: standard, transition, non-standard without reformulation, and non-standard with reformulation. Therefore this study aims to categorize how to answer students in solving numbers problems based on the ability of number sense possessed. This type of research is descriptive qualitative. Subjects selection use the purposive sampling method obtained three subjects that represent the number sense category owned by students. The results of this research indicate the students who have high number sense abilities tend to have computational mental with non-standard categories with reformulation while students who have medium and low number sense abilities tend to have standard category mental computation.
Advancing Learning Math Industry Era 4.0
Authors: Mahmudah Rifa’atul , Yazid Muh. 
Published: July 2020

Abstract
The emergence of the industrial era 4.0 is a challenge in welcoming and preparing mathematics learning. The purpose of this study was to determine the components in welcoming mathematics learning in the industrial era 4.0. This type of research uses descriptive qualitative with the method used is the study of literature/literature review from 2012 to 2019. From the results of the literature review, it is concluded that there are 3 components in welcoming mathematics learning in the industrial era 4.0. 1) HR Literacy, covering aspects; critical thinking, creative thinking, reflective thinking, mathematical imagination, mathematical reasoning, mathematical communication, and problem-solving. 2) Data literacy, including system aspects cyber-physical, internet of things, cognitive computing, and cloud computing. 3)Technology literacy, including aspects; Technology for doing mathematics, Technology for practicing skills, and Technology for developing conceptual understanding.
High School Students’ Responses in Solving Linear Program Problems Based on SOLO Taxonomy Viewed from Mathematical Disposition
Authors: Claudia L F , Kusmayadi T A , Fitriana L 
Published: July 2020

Abstract
In mathematics learning, students need a cognitive domain that is supported by an equivalent affective domain. One of the factors students can master or like math is that they must have an interest and curiosity in learning mathematics. Interest of students can solve mathematics problems more efficiently. The combination of affinity and interest in learning mathematics will form a positive attitude which is often called a mathematical disposition. Mathematical disposition is students’ beliefs and attitudes about mathematics that support the tendency to see mathematics as reasonable and useful as well as the role he or she believes diligence plays in solving mathematical tasks. SOLO taxonomy can be classified into five levels ranging from simple to high levels, pre-structural, uni-structural, multi-structural, relational, and extended abstract. This study uses descriptive qualitative research that has the purpose of describing level response of students who have high, medium, and low mathematical disposition categories. The subjects in this study were senior high school students in the City of Kediri with a purposive sampling technique in a class of 35 students and obtained three subjects which represent every category of mathematical disposition. The results of this study are (1) Student with high mathematical disposition is at the extended abstract level, (2) Student with medium mathematical disposition is at the multi-structural level, (3) Student with low mathematical disposition is at the pre-structural level.
No perfect storm for crop yield failure in Germany
Authors: Webber Heidi , Lischeid Gunnar , Sommer Michael , Finger Robert , Nendel Claas , Gaiser Thomas , Ewert Frank 
Published: July 2020

Abstract
Large-scale crop yield failures are increasingly associated with food price spikes and food insecurity and are a large source of income risk for farmers. While the evidence linking extreme weather to yield failures is clear, consensus on the broader set of weather drivers and conditions responsible for recent yield failures is lacking. We investigate this for the case of four major crops in Germany over the past 20 years using a combination of machine learning and process-based modelling. Our results confirm that years associated with widespread yield failures across crops were generally associated with severe drought, such as in 2018 and to a lesser extent 2003. However, for years with more localized yield failures and large differences in spatial patterns of yield failures between crops, no single driver or combination of drivers was identified. Relatively large residuals of unexplained variation likely indicate the importance of non-weather related factors, such as management (pest, weed and nutrient management and possible interactions with weather) explaining yield failures. Models to inform adaptation planning at farm, market or policy levels are here suggested to require consideration of cumulative resource capture and use, as well as effects of extreme events, the latter largely missing in process-based models. However, increasingly novel combinations of weather events under climate change may limit the extent to which data driven methods can replace process-based models in risk assessments.
Structure factors and x-ray diffraction intensities in molten alkali halides
Authors: Abramo Maria C , Costa Dino , Malescio Gianpietro , Munaò Gianmarco , Pellicane Giuseppe , Prestipino Santi , Caccamo Carlo 
Published: July 2020

Abstract
We show by extensive molecular dynamics simulations that rather accurate predictions of structure factors and x-ray diffraction intensities of molten alkali halides can be achieved in terms of the Born-Huggins-Mayer-Fumi-Tosi rigid ion potential description of these systems. Specifically, the partial structure factors of six ionic melts, namely NaCl, RbCl, LiCl, LiF, NaF and KF, are computed by Fourier inversion of the radial distribution functions obtained from simulation; the x-ray diffraction intensity is then obtained from the calculated partial structure factors. We perform a comparison between the molecular dynamics results and the experimental data obtained via neutron and/or x-ray diffraction. We also determine the total number density and total charge structure factors and document that, in all the salts examined, the peaks in the x-ray intensities fall at wavevectors practically coincident with those of the partial and total structure factors. We then show how to improve upon some limits emerging in the adopted model when applied to molten fluorides. We finally comment on the opportunity to extend to other molten alkali halides, for which experimental x-ray diffraction intensities are available, the assessment of structural predictions according to the scheme outlined here.
Time-dependent relaxation of observables in complex quantum systems
Authors: Volya Alexander , Zelevinsky Vladimir 
Published: July 2020

Abstract
We consider time-dependent relaxation of observables in quantum systems of chaotic and regular type. Using statistical arguments and exact numerical solutions we show that the spread of the initial wave function in the Hilbert space and the main characteristics of evolution of observables have certain generic features. The study compares examples of regular dynamics, a completely chaotic case of the Gaussian orthogonal ensemble, a bosonic system with random interactions, and a fully realistic case of the time evolution of various initial non-stationary states in the nuclear shell model. In the case of the Gaussian orthogonal ensemble we show that the survival probability obtained analytically also fully defines the relaxation timescale of observables. This is not the case in general. Using the realistic nuclear shell model and the quadrupole moment as an observable we demonstrate that the relaxation time is significantly longer than defined by the survival probability of the initial state. The full analysis does not show the presence of an analog of the Lyapunov exponent characteristic for examples of classical chaos.
Chimera states formed via a two-level synchronization mechanism
Authors: Provata A 
Published: July 2020

Abstract
We introduce an oscillatory toy-model with variable frequency governed by a 3rd order equation to shed light on the formation of chimera states in systems of coupled oscillators. The toy-oscillators are constructed as bistable units and depending on the initial conditions their frequency may result in one of the two attracting fixed points,

and

(two-level synchronization). Numerical simulations demonstrate that when these oscillators are nonlocally coupled in networks, they organize in domains with alternating frequencies. In each domain the oscillators synchronize, while sequential domains follow different modes of synchronization. The border elements between two consecutive domains form the asynchronous domains as they are influenced by both frequencies. This way chimera states are formed via a two-level synchronization scenario. We investigate the influence of the frequency coupling constant and of the coupling range on the chimera morphology and we show that the chimera multiplicity decreases as the coupling range increases.
The frequency spectrum is calculated in the coherent and incoherent domains of this model. In the coherent domains single frequencies (

or

) are observed, while in the incoherent domains both

and

as well as their superpositions appear. This mechanism of creating domains of alternating frequencies offers a reasonable generic scenario for chimera state formation.
Effect of Mg doping on the improvement of photoluminescence and magnetic properties of NiO nanoparticles
Authors: Panigrahi U K , Sathe V , Babu P D , Mitra A , Mallick P 
Published: July 2020

Abstract
NiO nanoparticles doped with different concentration of Mg were synthesized by a low cost wet chemical method. XRD characterization indicated that the fcc structure of NiO is not affected with Mg doping. TEM analysis further reveals the Mg doping induced reduction in grain agglomeration along with the spherical shape transformation in NiO. Significant enhancement of UV emission in Mg doped NiO nanoparticles is evident from photoluminescence characterization. Magnetic characterization of the samples showed that all the samples show weak ferromagnetism along with the dominance of background antiferromagnetism at room temperature. The perseverance of background antiferromagnetic order is further probed through Raman characterization. All the samples show first order antiferromagnetic to weak ferromagnetic transition along with the presence of shape memory effect as evident by the negative slope in Arrott plot. The Ni0.9Mg0.1O sample with much enhanced UV emission and magnetization could find the usefulness in UV optoelectronic device, spintronic device etc.