nils-herrmann/clean_scirepeval huggingface dataset:
SHIMMER(tm) A Wireless Sensor Platform for Noninvasive Biomedical Research
Venue: IEEE Sensors Journal
Year: 2010

Applying new sensing technology to healthcare maybe part of a solution to the financial and demographic crisis facing global healthcare systems. Researchers applying new approaches to noninvasive patient monitoring and diagnostics are assisted by the features of Sensing Health with Intelligence, Modularity, Mobility and Experimental Reusability (SHIMMER(tm) a flexible sensing platform. Integrated peripherals, open software, modular expansion, specific power management hardware, and a library of applications supported with platform validation provide SHIMMER with advantages over many other medical research platforms.
Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions
Venue: Renewable Energy
Year: 2019

Ecological Kuznets curve (EKC) reveals the relationship between GHG emissions and economic growth. However, there are other factors and different channels through which the economic growth affects environmental quality. Therefore, we aim to examine not only direct (scale) impact of previously analysed factors, such as GDP, trade, foreign direct investment (FDI) urbanization, industrialization, renewable energy consumption, and energy efficiency on GHG emissions, but also to model composition and technique effects of this impact. Proposed models were tested using the panel data of 147 countries between 1990 and 2012 and system GMM estimator. Estimation results provided an evidence of GDP's positive and significant impact on GHG emissions and no evidence of scale effect of urbanization and FDI on GHG emissions. Moreover, we found statistical evidence of negative correlation between trade and GHG emissions and this contradicts to the leakage effect. Furthermore, our estimations did not reveal the composition effect for all analysed factors. In case of technique effect, the results showed that GDP, urbanization, and trade contributed to reducing carbon emissions only via energy efficiency but not via renewable energy. Therefore, countries should further seek that economic growth would be accompanied by technological development and faster growth of energy efficiency.
Tropane Alkaloids: Chemistry, Pharmacology, Biosynthesis and Production
Venue: Molecules
Year: 2019

Tropane alkaloids (TA) are valuable secondary plant metabolites which are mostly found in high concentrations in the Solanaceae and Erythroxylaceae families. The TAs, which are characterized by their unique bicyclic tropane ring system, can be divided into three major groups: hyoscyamine and scopolamine, cocaine and calystegines. Although all TAs have the same basic structure, they differ immensely in their biological, chemical and pharmacological properties. Scopolamine, also known as hyoscine, has the largest legitimate market as a pharmacological agent due to its treatment of nausea, vomiting, motion sickness, as well as smooth muscle spasms while cocaine is the 2nd most frequently consumed illicit drug globally. This review provides a comprehensive overview of TAs, highlighting their structural diversity, use in pharmaceutical therapy from both historical and modern perspectives, natural biosynthesis in planta and emerging production possibilities using tissue culture and microbial biosynthesis of these compounds.
Medullary thyroid cancer: management guidelines of the American Thyroid Association.
Venue: Thyroid official journal of the American Thyroid Association
Year: 2009

Inherited and sporadic medullary thyroid cancer (MTC) is an uncommon and challenging malignancy. The American Thyroid association (ATA) chose to create specific MTC Clinical Guidelines that would bring together and update the diverse MTC literature and combine it with evidence based medicine and the knowledge and experience of a panel of expert clinicians.  Relevant articles were identified using a systematic PubMed search and supplemented with additional published materials. Evidence based recommendations were created and then categorized using criteria adapted from the United States Preventive Services Task Force, Agency for Healthcare Research and Quality.  Clinical topics addressed in this scholarly dialog included: initial diagnosis and therapy of preclinical disease (including RET oncogene testing and the timing of prophylactic thyroidectomy) initial diagnosis and therapy of clinically apparent disease (including preoperative testing and imaging, extent of surgery, and handling of devascularized parathyroid glands) initial evaluation and treatment of postoperative patients (including the role of completion thyroidectomy) management of persistent or recurrent MTC (including the role of tumor marker doubling times, and treatment of patients with distant metastases and hormonally active metastases) long term follow up and management (including the frequency of follow up and imaging) and directions for future research.  One hundred twenty two evidence based recommendations were created to assist in the clinical care of MTC patients and to share what we believe is current, rational, and optimal medical practice.
Integrative Ethical Education: A Preliminary Investigation into the Effect of a Theoretically Grounded Intervention on College Students' Moral Development
Year: 2019

The Association of American Colleges and Universities and the American Council on Education identified moral and ethical development as a desired outcome of college. Researchers have identified that moral development occurs during college; however, few studies have focused on specific interventions designed to promote college students' moral development. The purpose of this study was to investigate the moral development of students who participated in a first year honors leadership program that included a living learning community developed using an interpretation of Narvaez's Integrative Ethical Education (IEE) model as a theoretical framework. Participants (n=18) took the Defining Issues Test Version 2 (DIT2) a valid and reliable measure of moral judgment, at the beginning and end of their first year to understand the effect of the IEE based intervention on students' moral growth. The current study used two scores generated by the DIT2 related to participants' preference for post conventional moral thinking (i.e. focus on duties derived from their own self authored, critically examined moral purpose rather than societal norms and laws) Participants' DIT2 responses were also used to indicate which developmental phase they function in. When in the transition phase, individuals do not clearly distinguish between the post conventional schema and lower moral schema. In the consolidation phase, individuals consistently respond using one moral schema. Descriptive analysis (e.g. percent changes) were conducted to understand participants' overall change in moral growth and if participants' self reported sex or moral phase influenced moral development. The study found that, on average, participants' level of moral growth based on changes in DIT2 scores increased during their first year of college. Participants who began college in the transition phase experienced positive changes in moral development, while their peers in the consolidation phase moral development regressed. Participants experienced positive change regardless of self reported sex. While no causal assumptions can be made from this
RANCANG BANGUN PERANGKAT LUNAK BERBASIS MULTIMEDIA SEBAGAI PROGRAM BANTU PEMBELAJARAN SISTEM KOORDINAT UNTUK SISWA SD
Year: 2015

Rancang Bangun Program Bantu Pembelajaran Sistem Koordinat Untuk Kelas VI Sekolah Dasar memiliki beberapa tujuan yaitu meningkatkan pemahaman siswa terhadap konsep sistem koordinat, meningkatkan keaktifan/respon siswa dalam pembelajaran matematika khususnya pada sistem koordinat, meningkatkan kreatifitas siswa dalam pembelajaran matematika khususnya pada sistem koordinat dan terciptanya media pembelajaran alternatif yang menarik. Sumber data dalam penelitian ini adalah data primer dan data sekunder melalui interview, studi literature, observasi, serta kuesioner. Untuk proses observasi dan interview dan kuesioner langsung pada objek penelitian serta ditunjang dengan literatur literatur yang sesuai dengan kebutuhan. Metode pengembangan sistem yang digunakan adalah pengembangan sistem Waterfall dengan perancangan sistem menggunakan diagram UML yang memberikan gambaran atau deskripsi perancangan model dan sistem dalam bentuk uraian dan diagram yang dapat menggambarkan sistem secara umum dan menyeluruh.  Perangkat Lunak, Waterfall, UML.
Identification of type 2 diabetes loci in 433,540 East Asian individuals
Year: 2019

Meta analyses of genome wide association studies (GWAS) have identified >240 loci associated with type 2 diabetes (T2D) however most loci have been identified in analyses of European ancestry individuals. To examine T2D risk in East Asian individuals, we meta analyzed GWAS data in 77,418 cases and 356,122 controls. In the main analysis, we identified 298 distinct association signals at 178 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 56 loci newly implicated in T2D predisposition. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. New associations include signals in/near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect muscle and adipose differentiation. At another locus, eQTLs at two overlapping T2D signals act through two genes, NKX6 3 and ANK1, in different tissues. Association studies in diverse populations identify additional loci and elucidate disease genes, biology, and pathways. Type 2 diabetes (T2D) is a common metabolic disease primarily caused by insufficient insulin production and/or secretion by the pancreatic b cells and insulin resistance in peripheral tissues1. Most genetic loci associated with T2D have been identified in populations of European (EUR) ancestry, including a recent meta analysis of genome wide association studies (GWAS) of nearly 900,000 individuals of European ancestry that identified >240 loci influencing the risk of T2D2. Differences in allele frequency between ancestries affect the power to detect associations within a population, particularly among variants rare or monomorphic in one population but more frequent in another3,4. Although smaller than studies in European populations, a recent T2D meta analysis in almost 200,000 Japanese individuals identified 28 additional loci4. The relative contributions of different pathways to the pathophysiology of T2D may also differ between ancestry groups. For example, in East Asian (EAS) populations, T2D prevalence is greater than in European populations among people of similar body mass index (BMI) or waist circumference5. We performed the largest meta analysis of East Asian individuals to identify new genetic associations and provide insight into T2D pathogenesis.
The 'Negro' in John Steinbeck's Of Mice and Men: A Comparison of Socialist and Post Socialist Strategies for Translating Racial Elements
Year: 2015

The present article examines the translation of racial elements in John Steinbeck's novel and play Of Mice and Men into Slovenian. Using the basic concepts of Kitty van Leuven Zwart's comparative and descriptive models for the analysis of literary translations (1989, 1990) we examine strategies for translating terms referring to African Americans along with strategies for translating the discourse of the only African American character in Of Mice and Men. After the microstructural analysis, the effects of the shifts on the perception of this literary work are discussed, and its reception in Slovenia is examined. Although shifts are established in translations from both the socialist and the postsocialist period, in the first translation of the novel, from 1952, the macrostructure of the text was affected to a greater extent than in the modern translations of the novel and the play, both published in 2007. Because translation strategies differ substantially, possible reasons for the differences are also discussed, taking into consideration relevant historical and contemporary socio political factors.
CUL3 E3 ligases in plant development and environmental response.
Venue: Nature plants
Year: 2021

Thirty years of research have revealed the fundamental role of the ubiquitin proteasome system in diverse aspects of cellular regulation in eukaryotes. The ubiquitin protein ligases or E3s are central to the ubiquitin proteasome system since they determine the specificity of ubiquitylation. The cullin RING ligases (CRLs) constitute one large class of E3s that can be subdivided based on the cullin isoform and the substrate adapter. SCF complexes, composed of CUL1 and the SKP1/F box protein substrate adapter, are perhaps the best characterized in plants. More recently, accumulating evidence has demonstrated the essential roles of CRL3 E3s, consisting of a CUL3 protein and a BTB/POZ substrate adaptor. In this Review, we describe the variety of CRL3s functioning in plants and the wide range of processes that they regulate. Furthermore, we illustrate how different classes of E3s may cooperate to regulate specific pathways or processes.
A Survey on Security over Sensor Cloud
Venue: 2019 9th International Conference on Cloud Computing, Data Science Engineering (Confluence)
Year: 2019

Wireless Sensor Network (WSN) comprises of several heterogeneous sensor nodes such as sound sensor, camera sensor, temperature sensor, proximity sensor, motion sensor, light sensor, color sensor, accelerometer sensor etc. There are various limitations in sensor nodes such as less memory, power and processing capabilities. In today's world, the applications of WSN have immensely grown that includes health care monitoring, disaster monitoring, military applications, smart home monitoring and smart cities etc. In spite of a large number of applications of WSN there are several research challenges with it viz; scalability, power management of nodes, resource scheduling, mobility management and security. With increase in the demand of WSN applications, one cannot always increase the number of deployed sensors to meet the requirements. So, cloud and virtualization can help in this issue. This integration of cloud with WSN is termed as Sensor Cloud. Sensor cloud also has several research challenges and security is one of them. This paper presents a survey which focuses on some of the major security attacks in sensor cloud.
Complementing the US Food and Drug Administration Adverse Event Reporting System With Adverse Drug Reaction Reporting From Social Media: Comparative Analysis
Venue: JMIR public health and surveillance
Year: 2020

Adverse drug reactions (ADRs) can occur any time someone uses a medication. ADRs are systematically tracked and cataloged, with varying degrees of success, in order to better understand their etiology and develop methods of prevention. The US Food and Drug Administration (FDA) has developed the FDA Adverse Event Reporting System (FAERS) for this purpose. FAERS collects information from myriad sources, but the primary reporters have traditionally been medical professionals and pharmacovigilance data from manufacturers. Recent studies suggest that information shared publicly on social media platforms related to medication use could be of benefit in complementing FAERS data in order to have a richer picture of how medications are actually being used and the experiences people are having across large populations.  The aim of this study is to validate the accuracy and precision of social media methodology and conduct evaluations of Twitter ADR reporting for commonly used pharmaceutical agents.  ADR data from the 10 most prescribed medications according to pharmacy claims data were collected from both FAERS and Twitter. In order to obtain data from FAERS, the SafeRx database, a curated collection of FAERS data, was used to collect data from March 1, 2016, to March 31, 2017. Twitter data were manually scraped during the same time period to extract similar data using an algorithm designed to minimize noise and false signals in social media data.  A total of 40,539 FAERS ADR reports were obtained via SafeRx and more than 40,000 tweets containing the drug names were obtained from Twitter's Advanced Search engine. While the FAERS data were specific to ADRs, the Twitter data were more limited. Only hydrocodone/acetaminophen, prednisone, amoxicillin, gabapentin, and metformin had a sufficient volume of ADR content for review and comparison. For metformin, diarrhea was the side effect that resulted in no difference between the two platforms (P=.30) For hydrocodone/acetaminophen, ineffectiveness as an ADR that resulted in no difference (P=.60) For gabapentin, there were no differences in terms of the ADRs ineffectiveness and fatigue (P=.15 and P=.67, respectively) For amoxicillin, hypersensitivity, nausea, and rash shared similar profiles between platforms (P=.35, P=.05, and P=.31, respectively) Conclusions FAERS and Twitter shared similarities in types of data reported and a few unique items to each data set as well. The use of Twitter as an ADR pharmacovigilance platform should continue to be studied as a unique and complementary source of information rather than a validation tool of existing ADR databases.
Existence and sharp decay rate estimates for a von Karman system with long memory
Year: 2015

A nonlinear model described by von Karman equations with long memory is considered. Hadamard wellposedness of weak solutions, regularity of solutions and intrinsic decay rate estimates for the energy are established by assuming that the memory kernel g satisfies the inequality introduced in Alabau Boussouira and Cannarsa (2009) g H g where H s is a given continuous, positive, increasing, and convex function such that H 0 0 The decay rates obtained are optimal in the sense that they reconstruct decay rates assumed on relaxation kernel. The novelty of the paper is at the level of both: the results obtained and the methodology applied.
Stability of radiomics features in apparent diffusion coefficient maps from a multi centre test retest trial
Venue: Scientific Reports
Year: 2019

Quantitative radiomics features, extracted from medical images, characterize tumour phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC) maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi vendor trial we established a method to analyse radiomics features from ADC maps of ovarian (n 12) lung (n 19) and colorectal liver metastasis (n 30) cancer patients who underwent repeated <7 days) diffusion weighted imaging at 1.5 T and 3 T. From these ADC maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC 0.85) Although some features were tissue and/or respiratory motion specific, 122 features were stable for all tumour entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC based radiomics.
Effectiveness prediction of abrasive jetting stream of accelerator tank using normalized sparse autoencoder adaptive neural fuzzy inference system
Year: 2020

Abrasive jetting stream generated from accelerator tank is crucial to the precision machining of industrial products during the process of strengthen jet grinding. In this article, its effectiveness prediction using normalized sparse autoencoder adaptive neural fuzzy inference system is carried out to provide an optimal result of jetting stream. A normalized sparse autoencoder adaptive neural fuzzy inference system capable of calculating the concentration density of abrasive impact stress by normalized sparse autoencoder and identifying the effectiveness indexes of abrasive jetting by adaptive neural fuzzy inference system is proposed to predict the stream effectiveness index in grinding practices, indicating that when turbulence root mean square velocity (VRMS) is 420 m/s, turbulence intensity (Ti) is 570, turbulence kinetic energy (Tc) is 540 kJ, turbulence entropy (Te) is 620 J/K, and Reynolds shear stress (Rs) is 430 kPa (Error tolerance 5% the same as follows) the optimized effectiveness quality of abrasive jetting stream could be ensured. The effectiveness prediction involve the following steps: measuring the jet impact data on the interior boundary surface of accelerator tank, calculating the concentration density of abrasive impact stress, establishing the descriptive analytical frame work of normalized sparse autoencoder adaptive neural fuzzy inference system, adaptive prediction of abrasive jetting stream effectiveness through normalized sparse autoencoder adaptive neural fuzzy inference system computation, and performance verification of actual effectiveness prediction in the efficiency quantification and quality assessment when it compared to that of alternative approaches, such as genetic, simulated annealing genetic algorithm, Taguchi, artificial neural network simulated annealing, and genetically optimized neural network system methods. Objective of this research is to adaptive predict the abrasive jetting stream effectiveness using a new proposed prediction system, a stable and reliable abrasive jetting stream therefore can be achieved using jetting pressure (Pw) at 320 MPa, mass of cast steel grits (Mc) at 270 g, mass of bearing steel grits (Mb) at 310 g, mass of brown fused alumina grits (Ma) at 360 g, and mass rate of abrasives (Fa) at 0.46 kg/min. It is concluded that normalized sparse autoencoder adaptive neural fuzzy inference system owns an outstanding predictive capability and possesses a much better working advancement in typical calibration indexes of accuracy and efficiency, meanwhile a high agreement between the fuzzy predicted and actual measured values of effectiveness indexes is ensured. This novel method could be promoted constructively to improve the quality uniformity for abrasive jetting stream and to facilitate the productive managements of abrasive jet machining consequently.
LIKE, TWEET, OR PIN: COLLEGE STUDENTS AND THEIR CURRENT USE OF SOCIAL MEDIA
Year: 2013

Social Media (SM) is ever present in the daily "online" life of an individual and ultimately offers a platform for individuals and businesses to interact and communicate. Facebook continues to be the most popular social media site  however, the use of Twitter and Pinterest is on the rise. Social Networking Sites (SNS) provide individuals, especially college students, an outlet to share a wealth of information. Yet, questions arise: are college students still spending as much time using Facebook? Is Facebook still college students' first choice in SM or have they switched to Twitter and Pinterest? The purpose of this study is to determine if college students are using SM as much as they were two and a half years ago. Discerning the answer to these research questions involved comparing data collected from a Fall 2010 dissertation study to survey data collected during the Spring 2013 semester. The findings of this explanatory study were significant: social media usage among college students has increased in two and a half years, certain demographics influence SM usage and Facebook usage has declined by 38% which suggests students are seeking and using other SM technologies.