bluuebunny/crossref_metadata_2025 huggingface dataset:
Examination the Quality of Oil Obtained from Cornelian Cherry (Cornus mas L.) Seeds as an Additive in the Production of Cosmetic Preparations and Food Supplements
Authors: Melisa Ahmetović  , Edisa Trumić  , Jasna Bajraktarević  , Husejin Keran  , Indira Šestan
Published: February 2021

From ancient times the natural plant Cornelian cherry is used for various purposes. The healing properties of Cornelian cherry suit the human body and give it the necessary vitamins, acids, and everything else it needs for the body to function normally and healthily. Due to its antioxidant, antiallergic, antimicrobial, and antihistamine properties, it is increasingly used as a dietary supplement, as well as for medical and pharmaceutical purposes. In addition to the fruit of the Cornelian cherry, in the past, the oil of Cornelian cherry seeds was used, the content of which can be up to 30%. However, the data available in the literature are scanty and do not show true values because the oil content depends on many factors, such as the geographical origin of the Cornelian cherry, the harvest period, varieties, etc., which also affects the oil content in the seeds.

Therefore, the aim of this study is to determine the average oil content of Cornelian cherry seeds, and to determine the obtained oil physico-chemical parameters that show the quality of the oil, namely oil viscosity, iodine value, peroxide value, acid value, and saponification value. Based on the obtained results, more information is clearly given about the quality of the obtained oil, as well as its use in the production of cosmetic preparations.

Based on the conducted analyzes, it was shown that the oil obtained from the Cornelian cherry seeds was high quality, and that it was analyzed in its fatty acid composition similar to other vegetable oils such as sunflower oil, pumpkin oil, corn oil. The low of the peroxide value showed that the oil used has good resistance to oxidative spoilage, which is attributed to the composition of fatty acids and the presence of oil components that have a pronounced antioxidant effect, while the iodine value indicates that it is oil rich in saturated fatty acids such as palmitic, stearic and arachid, etc. where genotype plays an important role. The saponification value showed that these are fatty acids present in the triacylglycerols of this oil, which are low molecular weight, ie there are fewer of those with a larger number of C atoms. All obtained values ​​of the analyzed physical and chemical parameters are in accordance with the requirements imposed by the Regulations on edible vegetable oils (Official Gazette of the Federation Bosnia and Herzegovina No.21/11.), and as such can be used for cosmetic purposes.
The COVID States Project #26: Trajectory of COVID-19-related behaviors
Authors: Lazer David , Santillana Mauricio , Perlis Roy H. , Quintana Alexi , Ognyanova Katherine , Green Jon , Baum Matthew , Simonson Matthew , Uslu Ata , Chwe Hanyu , Druckman James , Lin Jennifer , Gitomer Adina
Published: February 2021

The current state of the COVID-19 pandemic in the United States is dire, with circumstances in the Upper Midwest particularly grim. In contrast, multiple countries around the world have shown that temporary changes in human behavior and consistent precautions, such as effective testing, contact tracing, and isolation, can slow transmission of COVID-19, allowing local economies to remain open and societal activities to approach normalcy as of today. These include island countries such as New Zealand, Taiwan, Iceland and Australia, and continental countries such as Norway, Uruguay, Thailand, Finland, and South Korea. These successes demonstrate that coordinated action to change behavior can control the pandemic. In this report, we evaluate how the human behaviors that have been shown to inhibit the spread of COVID-19 have evolved across the US since April, 2020.Our report is based on surveys that the COVID States Project has been conducting approximately every month since April in all 50 US states plus the District of Columbia. We address four primary questions:1) What are the national trends in social distancing behaviors and mask wearing since April?2) What are the trends among particular population subsets?3) What are the trends across individual states plus DC?4) What is the relationship, at the state level, between social distancing behaviors and mask wearing with the current prevalence of COVID-19?
Metodologi Pembelajaran
Authors: Sofanudin Aji
Published: February 2021

Metodologi Pembelajaran terdiri atas dua kata, metodos dan logos. Metodos berasal dari kata: metha dan hodos. Metha mengandung arti: melalui atau melewati. Hodos artinya jalan, cara . Sehingga, metode merupkan jalan yang dilalui untuk mencapai tujuan; cara teratur yang digunakan untuk melaksanakan suatu pekerjaan. Logos berarti ilmu. oleh karena itu, metodolog bermakna Ilmu tentang berbagai metode.
ARPC1B is a differentially expressed gene in both lymph node and brain metastases in human breast cancer.
Authors: Mamoor Shahan
Published: February 2021

Metastasis to the brain is a clinical problem in patients with breast cancer (1-3). We mined published microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that actin-related protein 2/3 complex subunit 1B, encoded by ARPC1B, was among the genes whose expression was most quantitatively different in the brain metastases of patients with metastatic breast cancer. ARPC1B mRNA was present at decreased quantities in brain metastatic tissues as compared to primary tumors of the breast. Importantly, expression of ARPC1B in primary tumors was significantly correlated with patient overall survival in patients with breast cancer. Modulation of ARPC1B expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain. These data are one piece of evidence suggesting a common ancestor or tumor clone for brain and lymph node metastases that originate from the primary tumor, alluding to patterns in developmental origin and migratory pathways through the lymph node in human brain metastatic breast cancer.
Empowering Anxious Parents to Manage Child Avoidance Behaviors: Randomized Trial of a Single-Session Intervention for Parent Accommodation
Authors: Sung Jenna , Mumper Emma , Schleider Jessica L.
Published: February 2021

Background: A majority of youth who need anxiety treatment never access support. This disparity reflects a need for more accessible, scalable interventions—particularly those that may prevent anxiety in high-risk children, mitigating future need for higher-intensity care. Self- guided single-session interventions (SSIs) may offer a promising path toward this goal, given their demonstrated clinical utility, potential for disseminability, and low-cost. However, existing self-guided SSIs have been designed for completion by adolescents already experiencing symptoms, and their potential for preventing anxiety in children—for instance, by mitigating known anxiety risk factors—remains unexplored. Methods: This trial evaluated the acceptability and proximal effects of Project EMPOWER: a web-based, self-guided SSI designed to reduce parent accommodation, a parenting behavior known to increase anxiety risk in offspring. 301 parents reporting elevated anxiety symptoms (98.01% mothers) with children ages 4-10 received either Project EMPOWER or an informational control (containing psychoeducational materials and resources); parents self-reported their accommodation of child anxiety and overall distress tolerance at baseline and 2-week follow-up. Results: Relative to control-group parents, parents who received Project EMPOWER reported significant reductions in their accommodation of child anxiety (𝑑𝑠=0.61, p<.001), as well as significant increases in their distress tolerance(𝑑𝑠=0.43, p<.001), from baseline to 2-week follow-up. Additionally, parents who completed Project EMPOWER rated it as highly acceptable (e.g., easy to use, helpful, engaging) per pre-registered benchmarks. Conclusions: Project EMPOWER is an acceptable self-guided SSI for parents of children at-risk for anxiety, yielding proximal reductions in clinically-relevant targets.
Makalah volume tabung
Authors: patty Rani
Published: February 2021

Semoga makalah ini dapat bermanfaat untuk kita semua
Makalah operasi biner
Authors: Salmawati
Published: February 2021

Operasi biner pada himpunan tidak kosong S adalah pemetaan dariSxSkepada S.Notasi yang digunakan untuk menyatakan operasi biner adalah+,x,,,,,dan sebagainya.Hasi ldari sebuah operasi,misalnya,pada elemen adan bakan ditulis sebagai ab.
IMPLEMENTASI PENDIDIKAN KARAKTER DALAM MEMBENTUK TINGKAH LAKU SANTRI DI PONDOK PESANTREN RIYADLUL HUDA KUNINGAN
Authors: Tursilah Tuti
Published: February 2021

Konteks dari penelitian ini adalah adanya degradasi jati diri, krisis karakter, menurunnya martabat bangsa, dan dekadensi moral yang sedang melanda bangsa Indonesia. Hal ini merupakan akibat dari gagalnya pendidikan yang diterapkan. Pesantren merupakan lembaga keagamaan yang tepat untuk menyelamatkan generasi muda dari dekadensi moral tersebut. Karena pesantren memiliki karakteristik yang khas yaitu sarat nilai dan tradisi yang luhur untuk menyikapi globalisasi secara kritis dan bijak. Sehingga melalui pendidikan karakter di pesantren aspek afektif dan psikomotorik dapat terwujud.
RPA4 is a differentially expressed gene in brain metastatic human breast cancer.
Authors: Mamoor Shahan
Published: February 2021

Metastasis to the brain is a clinical problem in patients with breast cancer (1-3). We mined published microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that replication protein A4, encoded by RPA4, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. RPA4 mRNA was present at decreased quantities in brain metastatic tissues as compared to primary tumors of the breast. Importantly, expression of RPA4 in primary tumors was correlated with patient distant metastasis-free survival. Modulation of RPA4 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
The COVID States Project #29: Election fairness and trust in institutions
Authors: Ognyanova Katherine , Lazer David , Baum Matthew , Perlis Roy H. , Druckman James , Santillana Mauricio , Quintana Alexi , Simonson Matthew , Green Jon , Lin Jennifer , Uslu Ata , Gitomer Adina , Chwe Hanyu
Published: February 2021

While 67% of Americans say President-Elect Biden won the election, 17% suggest that Donald Trump is the winner. Thirty-nine percent of Republicans and 3% of Democrats reported thinking Trump is probably winning or definitely winning. Overall, 38% of Americans lack confidence in the fairness of the 2020 presidential election. That number is especially high among Republicans (64%) and Trump voters (69%) compared to Democrats (11%) and Biden voters (8%). There are large partisan gaps (over 40 percentage points) in public concerns about mail-in fraud (85% of Republicans, 38% of Democrats), inaccurate or biased vote counts (84% of Republicans, 44% of Democrats), and illegal votes from non-citizens (81% of Republicans, 34% of Democrats). Asked about acceptable reactions to an unfair election, 45% of Americans approved of protesting on social media, 38% of protesting in person, 18% approved of violating laws without violence, and 8% of using violence. Non-violent law breaking was approved by 23% Democrats and 17% Republicans, violence by 10% Democrats and 8% Republicans. 69% of Americans trust the Supreme Court to handle the election, 43% trust the news media, 31% trust social media companies. Trump is trusted by 39%, Biden by 59%.
The COVID States Project #21: Most important problems facing the nation today
Authors: Baum Matthew , Lin Jennifer , Gitomer Adina , Quintana Alexi , Ognyanova Katherine , Green Jon , Lazer David , Druckman James , Perlis Roy H. , Santillana Mauricio , Chwe Hanyu , Simonson Matthew
Published: February 2021

Which issues are, or will be, on voters’ minds as they enter the voting booth on or before November 3rd? Candidates Trump and Biden have stressed quite distinct issues throughout the campaign. The Democrat, Joe Biden, has sought to maintain a focus on the President’s handling of the COVID-19 pandemic, claiming that Donald Trump is undermining Americans’ healthcare with his COVID-19 response. He also has accentuated Trump’s efforts to revoke the Affordable Care Act, and the issue of systemic racism. President Trump, the Republican, has emphasized starkly different issues, particularly law and order and the economy, while seeking to avoid focus on the COVID-19 pandemic. But to what extent are the campaigns succeeding in framing the election according to their preferred emphases? In this report, we present results from our September and October survey waves in which we asked respondents to name the most important problems (MIPs) facing the nation. We investigate overall responses, as well as differences across individual states and demographic subgroups.
The COVID States Project #10: The pandemic and the protests
Authors: Lazer David , Santillana Mauricio , Perlis Roy H. , Ognyanova Katherine , Baum Matthew , Druckman James , Quintana Alexi , Volpe John D. , Chwe Hanyu , Simonson Matthew
Published: February 2021

A multi-wave 50-state COVID-19 survey: https://covidstates.org/From: The COVID-19 Consortium for Understanding the Public’s Policy Preferences Across States. A joint project of: Northeastern University, Harvard University, Rutgers University, and Northwestern University.
The COVID States Project #15: Public support for a fifth COVID-19 relief package
Authors: Baum Matthew , Gitomer Adina , Ognyanova Katherine , Chwe Hanyu , Perlis Roy H. , Lazer David , Green Jon , Quintana Alexi , Lin Jennifer , Druckman James , Santillana Mauricio , Simonson Matthew
Published: February 2021

To date, Congress has passed four COVID-19 relief packages totaling about $3 trillion, the most recent of which, the CARES Act, was passed on March 27th, 2020. The House of Representatives subsequently passed the $3 trillion Heroes Act on May 15th. The Senate has yet to take up the legislation or pass a fifth bill of its own. Throughout the summer, the House, Senate, and White House have engaged in on-again, off-again talks aimed at agreeing on a fifth relief package. The Senate has consistently favored a smaller bill, ranging from $500 billion to $1 trillion. Most recently, the House introduced a revised bill valued at about $2.2 trillion. The White House, represented by Steven Mnuchin, along with the Speaker of the House, Nancy Pelosi, have resumed negotiations over the shape of the package.While both sides claim to support such a package, they disagree not only on the amount, but also on the targets for this funding. Democrats favor a combination of direct payments to Americans, extended unemployment insurance, and aid to hospitals, schools, small businesses, the Post Office, and state and local governments. Republicans oppose aid to state and local governments and favor more limited unemployment insurance benefits.But what does the public think? We surveyed 20,315 respondents between September 4-27, 2020 on attitudes regarding the next COVID-19 relief bill. We asked respondents if they supported such a bill, as well as the types of relief they believed it should include. We also probed whether or not they had received the $300-$400 supplemental unemployment benefit authorized by President Trump’s executive order of August 5th.
The COVID States Project #32: Update on public support for measures aimed at curbing COVID-19
Authors: Lazer David , Quintana Alexi , Baum Matthew , Ognyanova Katherine , Simonson Matthew , Uslu Ata , Druckman James , Perlis Roy H. , Green Jon , Santillana Mauricio , Gitomer Adina , Lin Jennifer , Chwe Hanyu
Published: February 2021

In report 25, published in November, we evaluated public support for taking more aggressive measures to limit the spread of COVID-19. The key finding is that there is broad support for taking more steps to limit the spread of the disease. In a just completed survey, we repeated these questions, finding that opinions are virtually unchanged since November: large majorities across the 7 issue areas support taking more aggressive steps (see Figure 1). The measure with the least support, which would be the most drastic step − requiring most businesses other than grocery stores and pharmacies to close − has exactly the same level of support we observed in November: 60%. The only step that has seen statistically significant erosion in support is restricting international travel, which has edged downward from November, from 88% to a still quite high 84%.
The Utility of Latent Class Analysis to Understand Heterogeneity in Youth’s Coping Strategies: A Methodological Introduction
Authors: Nylund-Gibson Karen , Garber Adam C , Singh Jay , Witkow Melissa R. , Nishina Adrienne , Bellmore Amy
Published: February 2021

Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This paper provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youth’s daily coping strategies. The analytic procedures are outlined for choosing the number of classes and integration of the LCA variable within a structural equation model framework, specifically a latent class moderation model, and a detailed table provides a summary of relevant modeling steps. This applied example demonstrates the modeling context when the LCA variable is moderating the association between a covariate and two outcome variables. Results indicate that students’ coping strategies moderate the association between social stress and negative mood, however they do not moderate the social stress-positive mood association. Appendices include R (MplusAutomation) code to automate the enumeration procedure, 3-step auxiliary variable integration, and the generation of figures for visually depicting LCA results.
The COVID States Project #18: Fake news on Twitter
Authors: Lazer David , Ruck Damian J. , Quintana Alexi , Shugars Sarah , Joseph Kenneth , Grinberg Nir , Gallagher Ryan J. , Horgan Luke , Gitomer Adina , Bajak Aleszu , Baum Matthew , Ognyanova Katherine , Qu Hong , Hobbs William , McCabe Stefan , Green Jon
Published: February 2021

Social media acts as a conduit for fake news websites, where we define fake news as information that mirrors legitimate news in form, but “lacks the news media’s editorial norms and processes for ensuring the accuracy and credibility of information.”4 During the 2016 election, for example, many researchers and journalists alike failed to track the weaponization of misinformation on social media, leaving them to retroactively discover which demographics had been most active in sharing fake news after the election had taken place. It is important to understand in real time which parts of the population are sharing fake news on Twitter.The COVID-19 pandemic has been a once-in-a-generation disruption for Americans. According to the CDC, by October 2020, there were over 8 million cases of COVID-19 and over 200,000 deaths.5 The consequences for Americans have been wide-ranging, from coping with staggering numbers of illnesses and deaths, to restrictions on freedom of movement, to mass unemployment and economic crisis. There has been a great deal of confusion and misinformation surrounding COVID-19 − a so-called Infodemic6 − with much of it occurring online. The BBC documented the direct costs of COVID-19 misinformation, which include alcohol and cleaning product poisonings, assault, property damage and heightened racism.7In our panel, between January 1st and September 30th, 2020, the vast majority of shared URLs from COVID-19 tweets are either from known, reputable domains (60%), or domains with unknown quality (38.9%). URLs from domains that publish fake news only comprise 1.1% of the URLs from COVID-19 tweets. However, this is likely an underestimate because if we include web domains rated as “orange” in our fake news classification system, the percentage of shared fake news URLs increases to 1.8%.
The COVID States Project #16: Partisan differences in intention to vote by mail
Authors: Lazer David , Green Jon , Baum Matthew , Quintana Alexi , Ognyanova Katherine , Gitomer Adina , Druckman James , Simonson Matthew , Chwe Hanyu , Perlis Roy H. , Lin Jennifer , Santillana Mauricio
Published: February 2021

The COVID-19 pandemic has led many election administrators, as well as voters, to reconsider the manner in which votes will be cast during the 2020 general election. With many voters wary of waiting in line in person beside strangers on Election Day, registrars around the country are preparing for a far higher share of ballots to be cast by mail than ever before. The best available academic research suggests that holding elections entirely by mail slightly increases turnout, but does not advantage either major political party. Recent research on expanded access to voting by mail during the pandemic has found that, while many voters (and especially Democrats) who would otherwise vote in person take advantage of the opportunity to vote by mail, there is no evidence that the practice has changed any final election results.However, it is clear that more Democrats than Republicans will be voting by mail in 2020, which means that there may well be substantial shifts in the margin between Trump and Biden during an extended period of time after Election Day during which votes are still being counted in some states. How large these shifts are will depend on how different the rates of voting by mail are between Trump and Biden supporters, when people mail in their ballots, and the state’s rules for receiving and counting votes cast by mail. The 2018 midterm elections are illustrative of the potential shift after the election. Democrats’ net seat gain in the House of Representatives increased from 26 to 41 after Election Day because of (1) slow counting of votes that had arrived by mail, and (2) late arriving ballots.Here we evaluate three questions:• How many people report that they will vote by mail in each state?• What will be the difference in candidate choice between those who vote on the day of the election versus those who vote by mail?• What is the potential shift in the margin between Trump and Biden from the day of voting to a count that incorporates votes received by mail?
UPAYAMENINGKATKANHASILBELAJARIPAMELALUIMETODE RESITASIPADASISWAKELASVSDINPRESBORONGJAMBUIIKOTA MAKASSAR”
Authors: Inafebriyanti
Published: February 2021

UPAYAMENINGKATKANHASILBELAJARIPAMELALUIMETODERESITASIPADASISWAKELASVSDINPRESBORONGJAMBUIIKOTAMAKASSAR”
Introducing Uncertainty Quantification to Techno-economic Models of Manufacturing Field-Grown Plant-Made Products
Authors: McNulty Matthew James , Kelada Kirolos , Paul Debashis , Nandi Somen , McDonald Karen
Published: February 2021

There is a growing demand for large market natural and biotechnological products, for example, consumer preferences drive plant-based meat alternatives, health risks of sugar overconsumption continue to motivate alternative sweeteners, and the COVID-19 pandemic has reinvigorated interest in countries developing in-house vaccine and medication production capabilities. The current paradigm of bioreactor-based biomanufacturing faces difficulties of scalability and a high entry barrier of capital intensity and workforce specialization. Field-grown plant-based manufacturing, as an inexpensive and readily scalable platform, is a promising strategy to meet this emerging demand. Despite some successes in field-grown bioproducts manufacturing by companies such as Ventria Biosciences, concerns of product variability have largely stymied growth in this area. Here we report on the development and use of techno-economic modeling coupled with Monte Carlo-based uncertainty quantification as an effective tool to quantify and mitigate the impact of crop variation on product quality and supply for field-grown plant-based manufacturing.
Antenatal Depression and the Impact of COVID-19 Mitigation Efforts in Australia
Authors: Frankham Lucy , Thorsteinsson Einar B , Bartik Warren John
Published: February 2021

The mitigation efforts of COVID-19 have led to significant changes to the delivery of routine healthcare globally. In Australia, the way maternal health services have been delivered since the beginning of the pandemic has also changed. Maternity care and support are known to influence maternal mental health. One hundred and eighty-eight English speaking pregnant women residing in Australia were recruited using social media advertising between September and November 2020 as part of a larger study. Participants were aged between 19 and 42 (M = 31.05, SD = 4.68). Compared with previous Australian prevalence rates of around 7% for antenatal depression, rates in this study were 15.9% overall and 19% for those in Melbourne. It is suggested that increased vigilance with screening and assessment will be required to identify and support this cohort of mothers who are not coping.
The Fakeability of Personality Measurement with Graded Paired Comparisons
Authors: Schulte Niklas , Kaup Lucas , Bürkner Paul - Christian , Holling Heinz
Published: February 2021

This pre-registered study compares the faking resistance of Likert scales and graded paired comparisons (GPCs) analyzed with Thurstonian IRT models. Based on findings on other forced-choice formats, we hypothesized that GPCs would be more resistant to faking than Likert scales by resulting in lower score inflation and better recovery of applicants’ true (i.e., honest) trait scores. A total of N = 573 participants completed either the Likert or GPC version of a personality questionnaire first honestly and then in an applicant scenario. Results show that participants were able to increase their scores in both the Likert and GPC format, though their score inflation was smaller in the GPC than the Likert format. However, GPCs did not exhibit higher honest–faking correlations than Likert scales; under certain conditions, we even observed negative associations. These results challenge mean score inflation as the dominant paradigm for judging the utility of foeced-choice questionnaires in high-stakes situations. Even if FC factor scores are less inflated, their ability to recover true trait standings in high-stakes situations might be lower compared with Likert scales. Moreover, in the GPC format, faking effects correlated almost perfectly with the social desirability differences of the corresponding statements, highlighting the importance of matching statements equal in social desirability when constructing forced-choice questionnaires.
To what extent does emotional dysregulation account for aggression associated with ADHD symptoms? An experience sampling study
Authors: Murray Aja Louise , Lavoie Jennifer , Booth Tom , Eisner Manuel , Ribeaud Denis
Published: February 2021

Previous research has suggested that aggression is associated with ADHD symptoms and that this may partly reflect problems with emotional regulation. However, previous tests of this hypothesis have yielded inconsistent results and have focused on childhood. In this study we examined the role of emotional dysregulation in the association between ADHD symptoms and aggression in adulthood using experience-sampling derived measures of emotional dysregulation as it occurs in the context of daily life. Data came from the D2M study, a sub-study of the longitudinal z-proso study. Using structural equation modelling, we found that ADHD symptoms were associated with both emotional lability and aggression, but emotional lability did not mediate the ADHD-aggression association. Results suggest that other factors, such as those specifically related to behavioural dysregulation, may be more important for explaining the elevated levels of aggression in ADHD.
A sequential sampling account of semantic relatedness decisions
Authors: Kraemer Peter Maximilian , Wulff Dirk U. , Gluth Sebastian
Published: February 2021

Semantic memory research often draws on decisions about the semantic relatedness of concepts. These decisions depend on cognitive processes of memory retrieval and choice formation. However, most previous research focused on memory retrieval but neglected the decision aspects. Here we propose the sequential sampling framework to account for choices and response times in semantic relatedness decisions. We focus on three popular sequential sampling models, the Race model, the Leaky Competing Accumulator model (LCA) and the Drift Diffusion Model (DDM). Using model simulations, we investigate if and how these models account for two empirical benchmarks: the relatedness effect, denoting faster "related" than "unrelated" decisions when judging the relatedness of word pairs; and an inverted-U shaped relationship between response time and the relatedness strength of word pairs. Our simulations show that the LCA and DDM, but not the Race model, can reproduce both effects. Furthermore, the LCA predicts a novel phenomenon: the inverted relatedness effect for weakly related word pairs. Reanalyzing a publicly available data set, we obtained credible evidence of such an inverted relatedness effect. These results provide strong support for sequential sampling models -- and in particular the LCA -- as a viable computational account of semantic relatedness decisions and suggest an important role for decision-related processes in (semantic) memory tasks.
Feeding the machine: challenges to reproducible predictive modeling in resting-state connectomics
Authors: Cwiek Andrew , Rajtmajer Sarah , Wyble Brad , Honavar Vasant , Hillary Frank
Published: February 2021

In this critical review, we examine the current application of predictive models, e.g. classifiers, trained using ML to assist in interpretation of functional neuroimaging data. Our primary goal is to summarize how ML is being applied and critically assess the most common practices. Our review covers 250 studies published using ML and resting-state functional MRI (fMRI) to infer various dimensions of the human functional connectome. Results for lockbox performance was, on average, ~13% less accurate than performance measured through cross validation alone highlighting the importance of hold-out (“lockbox”) data which was included in only 16% of the studies surveyed. There was also a concerning lack of transparency across the key steps in training and evaluating predictive models. The summary of this literature underscores the importance of the use of a lockbox and highlights several methodological pitfalls that can be addressed by the imaging community. We argue that, ideally, studies are motivated both by the reproducibility and generalizability of findings as well as the potential clinical significance of the insights. We offer recommendations for principled integration of machine learning into the clinical neurosciences with the goal of advancing imaging biomarkers of brain disorders, understanding causative determinants for health risks, and parsing heterogeneous patient outcomes.
Perceived Prototypicality of Asian Subgroups in the United States and the United Kingdom
Authors: Goh Jin X. , McCue Jameson
Published: February 2021

Asians are monolithically categorized under one broad racial label despite their diverse compositions (e.g., with national origins from South, East, Southeast, or West Asia). Some Asian subgroups are perceived to be more prototypically Asian than others and cultural contexts may further shape such perception. With historically longstanding presence of East Asians in the United States and South Asians in the United Kingdom, we theorized that the perceived prototypicality of different Asian subgroups in the two countries would reflect these respective historical saliencies. Three studies (N = 849) examined how (non-Asian) Americans and Britons perceive different Asian subgroups in terms of how prototypically Asian and how foreign they seem. Studies 1 and 2 found that compared to British participants, Americans perceived East and Southeast Asians as more prototypically Asian; Britons considered South Asians as more prototypically Asian than American participants. Study 3 showed that Americans perceived East and Southeast Asians to be less foreign and more prototypically American than South and West Asians; in contrast, Britons perceived South Asians to be less foreign and more prototypically British than all other Asian subgroups. This research demonstrates the importance of disaggregating Asian subgroups and contextualizing prototype theories within sociohistorical frameworks.
Collective Narcissism as a Basis for Nationalism
Authors: Federico Christopher , Golec Agnieszka , Bu Wen
Published: February 2021

Recent work suggests that collective narcissism—an exaggerated, unrealistic belief in an in-group’s greatness that demands constant external validation—is a strong predictor of a variety of political attitudes. In the present study, we use nationally-representative panel data from Poland to examine the relationship between national collective narcissism and nationalism, a belief that the national ingroup is superior and should dominate other nations. We first demonstrate that national collective narcissism, nationalism and mere satisfaction with national ingroup are distinct. In turn, in both cross-sectional and panel analyses, we find (1) that national collective narcissism is positively related to nationalism, whereas satisfaction with the national-ingroup is not; and (2) that national collective narcissism is a stronger predictor of nationalism than national-ingroup satisfaction is in absolute terms. Our analyses thus provide evidence that nationalism may be rooted in narcissistic exaggeration of the greatness of the national in-group rather than non-narcissistic national ingroup satisfaction.
White, Professional, or Female Immigrants Only, Please: U.S. Americans' Desired Social Distance from Immigrants
Authors: Ashdown Brien K. , Faherty Amanda
Published: February 2021

The United States of America has a long history of discriminatory immigration and refugee policies that have resulted in disparities of health, education, employment and wages for many. This official discrimination is reflected in the personal prejudice of many U.S. Americans. In this study, we compare the social distance that participants desire from immigrants by randomly assigning participants (N = 616) a fictional vignette that alters the nation of origin (England, India, Syria), gender (man, woman) and occupation (doctor, teacher, janitor) of an immigrant. Participants demonstrated a preference for professional immigrants, women immigrants, and immigrants from England while controlling for age, though there were no significant interaction effects. These findings imply that U.S. American’s attitudes about immigrants and immigration are not objective. We believe that these prejudicial attitudes are reflected in policy and law, suggesting a need to construct processes to protect such policies from subjective and prejudicial attitudes.
Investigating factors that affect the adoption of Covid-19 contact-tracing apps. A privacy calculus perspective
Authors: Meier Yannic , Meinert Judith , Krämer Nicole
Published: February 2021

On June 16, 2020 the German government issued a Covid-19 contact-tracing app whose privacy settings were fiercely debated in advance. Contrary, potential benefits regarding the acceleration of contact-tracing were advertised. This study investigated the relative importance of privacy concerns and perceived benefits in relation to the decision to use the app adopting a privacy calculus perspective extended by trust in app privacy and technological knowledge about the app. Results of a representative German sample (N = 952) revealed that privacy concerns were negatively related to app-usage, and perceived benefits and knowledge were positively related to actual app-adoption. Additionally, perceiving app benefits was the most important factor for (continued) usage intention while privacy concerns did not play a role anymore. Trust was strongly negatively associated with privacy concerns and strongly positively with perceived benefits. Results are discussed concerning consequences for communication strategies when launching technology whose adoption should help in mitigating dangers of pandemics.
Combating COVID-19 with Charisma: Evidence on Governor Speeches in the United States
Authors: Jensen Ulrich , Rohner Dominic , Bornet Olivier , Carron Daniel , Garner Phillip , Loupi Dimitra , Antonakis John
Published: February 2021

Using field and laboratory data, we show that leader charisma can affect COVID-related mitigating behaviors. We coded a panel of U.S. governor speeches for charisma signaling using a deep neural network algorithm. The model explains variation in stay-at-home behavior of citizens based on their smart phone data movements, showing a robust effect of charisma signaling: stay-at-home behavior increased irrespective of state-level citizen political ideology or governor party allegiance. Republican governors with a particularly high charisma signaling score impacted the outcome more relative to Democratic governors in comparable conditions. Our results also suggest that one standard deviation higher charisma signaling in governor speeches could potentially have saved 5,350 lives during the study period (02/28/2020–05/14/2020). Next, in an incentivized laboratory experiment we found that politically conservative individuals are particularly prone to believe that their co-citizens will follow governor appeals to distance or stay at home when exposed to a speech that is high in charisma; these beliefs in turn drive their preference to engage in those behaviors. These results suggest that political leaders should consider additional “soft-power” levers like charisma—which can be learned—to complement policy interventions for pandemics or other public heath crises, especially with certain populations who may need a “nudge.”
Living the good life in a non-growth world: Investigating the role of hierarchy
Authors: Fix Blair
Published: February 2021

Humanity's most pressing need is to learn how to live within our planet's boundaries --- something that likely means doing without economic growth. How, then, can we create a non-growth society that is both just and equitable? I attempt to address this question by looking at an aspect of sustainability (and equity) that is not often discussed: the growth of hierarchy. As societies consume more energy, they tend to become more hierarchical. At the same time, the growth of hierarchy also seems to be a key driver of income/resource inequality. In this essay, I review the evidence for the joint relation between energy, hierarchy and inequality. I then speculate about what it implies for achieving a sustainable and equitable future.
Analysis of IT Governance COBIT 5.0 (Case Study: Ministry of Religious Affairs of Batam)
Authors: Suwarno Suwarno
Published: February 2021

Indonesian Government has developed technology-based information systems in their respective environments as an effort to realize public services that meet standards and achieve citizen service satisfaction, and in line with that as the government's efforts to digitize each business process in the government itself. Ministry of Religious Affairs of Batam that has developed this technology-based information system in implementing activities public services at Sekupang office, KUA, and integrated service places. This study aims to analyze the IT governance that has been applied at Ministry of Religious Affairs of Batam in providing public services. This study uses COBIT 5.0 to analyze IT governance in understanding and finding common ground between the needs of Batam citizen and the strategic plan of the Ministry of Religious Affairs of Batam, as well as how to evaluate and monitor IT governance in the actual conditions. This study uses two domains: Plan and Organize (PO) and Monitor and Evaluate (ME), based on the results of questionnaire data processing with 106 respondents, and the average value of the PO domain 3.8 and ME domain 3.9 shows that IT governance is at the Defined Process level. . Found two IT processes with a value of less than 3, namely PO8.1 and PO9.1, it is necessary to recommend improvements to quality management and risk management.
Pulse Injection Method to Increase Precision of Rotary Encoder on Switched Reluctance Motors
Authors: Duarte Nelson Roberto , Riyadi Slamet , Pratomo Leonardus Heru , Setiawan Florentinus Budi
Published: February 2021

Penggunaan switched reluctance motor (SRM) dalam aplikasi industri banyak diterapkan, hal ini dikarenakan SRM memiliki kelebihan antara lain tidak menggunakan magnet permanen serta kontruksi sederhana berupa inti besi pada rotor dan belitan stator. SRM membutuhkan informasi posisi rotor dalam pengoperasianya. Informasi posisi rotor yang sering digunakan adalah sensor hall effect yang sudah terpasang di dalam body motor walaupun adanya kelemahan terhadap akurasi. Untuk mendapatkan akurasi yang baik maka rotary encoder digunakan sebagai informasi posisi rotor. Rotary encoder memiliki tingkat kepresisian yang tinggi tapi dalam pemasangannya dibutuhkan sinkronisasi terhadap posisi rotor. Injeksi pulsa dilakukan untuk mencari kesesuaian antara posisi rotor dengan rotary encoder. Pada makalah ini diusulkan kendali SRM dengan informasi posisi rotor berasal dari pulsa rotary encoder. Hasil dari injeksi pulsa digunakan untuk menentukan profil induktansi pada posisi tertentu. Berdasarkan profil induktansi didapatkan sinkronisasi antara posisi rotor dengan pulsa rotary encoder. Untuk mendukung tercapainya metode analisis yang diusulkan dilakakukan pengujian pada laboratorium
Classification of Wheat Seeds Using Neural Network Backpropagation Algorithm
Authors: Tanjung Juliansyah Putra
Published: February 2021

There are various types of wheat scattered in the world. Usually it takes a long time to recognize the type of wheat seed by manual method because wheat germ has a physical appearance that looks the same as others. One method that can be used is an Artificial Neural Network. In this study, the data used were secondary data which consisted of data from the variable physical characteristics of wheat germ. The types of wheat seeds that are classified are 3. The Artificial Neural Network architecture used in this study is 5. By comparing the 5 Artificial Neural Network architectures, it is concluded that the architecture consisting of 3 layers and 4 layers is more precise in the classification of wheat germ types. The accuracy obtained by the 2 Artificial Neural Network architectures is 90% and 90%, respectively.
Applied Of Geofencing In Microcontroller With Linear Inequality Approach Of Two Variables
Authors: - Julham , Adam Hikmah Adwin
Published: February 2021

Geofencing merupakan suatu batas virtual yang mengelilingi sebuah area geografis. Area geografis terdiri-dari banyak titik yang mana nilai titik dapat diketahui dengan menggunakan perangkat GPS (Global Potisioning System). Sekarang ini perangkat GPS sudah ada yang berbentuk hanya modul GPS saja, sehingga bisa dikembangkan secara mandiri sesuai kebutuhan. Contoh dari modul tersebut adalah modul GPS GY-NEO6MV2 (Ublox NEO6MV2). Modul ini dapat berkomunikasi dengan mikrokontroler melalui komunikasi serial. Untuk itu penerapan geofencing ke mikrokontroler dapat dilakukan. Wilayah geofencing-nya berbentuk segitiga sembarang yang lokasinya di sekitar kampus Politeknik Negeri Medan, dimana pendekatan Pertidaksamaan Linear Dua Variabel digunakan dalam menentukan wilayah tersebut. Metode penelitian yang digunakan adalahÂ  research and development (R&D). Total rata-rata penyimpangan titik ukur jika dibandingkan dengan GPS buatan pabrik adalah 6,455127033 meter. Dan sistem memberikan indikator OUT jika berada di luar wilayah geofencing dan indikator IN jika berada di dalam wilayah geofencing.
Implementation of Automation System to Control Machine Voltage of Electroplating Process
Authors: Suwarno Suwarno , Chin Calvin
Published: February 2021

Technology has been proliferating and it has been creating a new term in the world of technology. One of the new terms that have emerged along with technological development is The Fourth Industrial Revolution. In line with the revolution, this research has a purpose of creating a smart manufacturing concept that involves several components such as software, machines, and certain tools such as RFID. This research will be designed and developed using software development method in the form of a waterfall method and this research will use C# programming language released by American multinational technology company, which is Microsoft to create the software. This research will be assisted by several hardware devices such as RFID Reader that will serve as a tool that will read information stored in RFID Tag and RFID Tag that will be used to store information needed by system. The output of this research is a software that is capable of automating voltage adjustment of electroplating machine, monitor the voltage and ampere of the machine, and able to aid users on the electroplating process
Música, telas e nostalgia: uma experiência estética-afetiva
Authors: Santos Neto Valdemir Soares dos , Bressan Júnior Mario Abel
Published: February 2021

O estudo presume a possibilidade de uma experiência estética-afetiva a partir de uma relação triádica sustentada por meio da música, telas e nostalgia. Tem-se como objetivo examinar uma possível articulação operacionalizada pelo videoclipe de modo a desencadear um estímulo nostálgico sob o viés da memória teleafetiva. Como percurso metodológico, a investigação se ancora em uma abordagem empírica, a partir de uma análise observacionista do videoclipe da música Nathional Anthem, da cantora Lana Del Rey, e do videoclipe da música Stupid Love, da cantora Lady Gaga.
Cuerpos como voces plenas. Un montaje polifónico
Authors: Koeltzsch Grit Kirstin , Cruz Enrique Normando
Published: February 2021

El montaje entre las ima?genes de Katherine Dunham y los bailarines populares del Noroeste Argentino tiene como objetivo visualizar las expresiones corporales danci?sticas en diferentes tiempos y espacios, pero con la misma intencio?n de articularse utilizando el cuerpo en las danzas, sea en un escenario profesional-arti?stico o en un escenario popular. La intencio?n es dejar hablar los cuerpos a trave?s de un dia?logo polifo?nico entre los diversos actores.
Hubungan antara Nyeri Fraktur dengan Kualitas Tidur Pasien yang di Rawat Inap
Authors: Andri Juli , Panzilion Panzilion , Sutrisno Tri
Published: February 2021

This study aims to determine the relationship between fracture pain and sleep quality. This research was conducted in the Seruni room of Dr. M. Yunus Bengkulu and in the Seruni room at Bhayangkara Hospital TK III Bengkulu. The research design used was correlational using a cross sectional approach. The results of the univariate analysis showed that (73.3%) respondents had poor sleep quality and (60%) had severe fracture pain intensity. The results of bivariate analysis with correlation test obtained p-value = 0.002 (p <0.05). In conclusion, there is a relationship between fracture pain and the sleep quality of patients hospitalized at the hospital in Bengkulu Province.

 

Keywords: Fracture Pain, Sleep Quality