nils-herrmann/clean_scirepeval huggingface dataset:
Pengembangan Ekonomi Kreatif Batik Tulis Kota Pekalongan Sebagai Upaya Pelestarian Budaya dan Peningkatan Pendapatan Masyarakat
Year: 2020

Kemiskinan merupakan permasalahan bangsa yang mendesak dan memerlukan langkah langkah penanganan dan pendekatan yang sistemik, terpadu dan menyeluruh. Dalam hal ini pengembangan ekonomi kreatif memiliki peran yang sangat strategis dalam pembangunan ekonomi masyarakat. Ekonomi kreatif yang berkembang pesat salah satunya adalah dalam bidang kerajinan yang berbasis warisan budaya yaitu kerajinan batik. Tantangan terbesar para pengusaha batik tulis di era ini adalah bagaimana menjaga keeksisan sebuah karya agar tidak semakin menipis dan tergerus oleh ketatnya persaingan industri batik. Semakin tahun batik tulis semakin menipis, mengingat maraknya produk batik printing yang lebih terjangkau dari segi harga dan lebih cepat pengerjaannya. Berkenaan dengan hal tersebut diperlukan adanya pemberdayaan berbasis ekonomi kreatif yang mampu memberikan motivasi, pelatihan dan pembinaan yang bertahap dan berkelanjutan kepada masyarakat. Oleh karena itu, kegiatan pelatihan ini merupakan upaya untuk memberdayakan ekonomi kreatif di wilayah Kota Pekalongan khususnya di daerah Desa Tirto sehingga mampu meningkatkan pendapatan masyarakat dan pengelolaan batik tulis sebagai produk ekonomi kreatif sebagai upaya pelestarian budaya bangsa.
Determining the Number of Passengers for Each of Three Reverse Pyramid Boarding Groups with COVID 19 Flying Restrictions
Venue: Symmetry
Year: 2020

The onset of the novel coronavirus SARS CoV2 has changed many aspects of people's economic and social activities. For many airlines, social distancing has reduced airplane capacity by one third as a result of keeping the middle seats empty. Additionally, social distancing between passengers traversing the aisle slows the boarding process. Recent literature has suggested that the reverse pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods with social distancing. Assuming reverse pyramid boarding with the middle seats unoccupied, we determined the number of passengers to include in each of three boarding groups. We assumed that passengers use a jet bridge that connects the airport terminal to the airplane's front door. We used agent based modeling and a stochastic simulation to evaluate solutions. A full grid search found an initial good solution, and then local search optimization determined the best solution based upon the airline's relative preference for minimizing average boarding time and minimizing risks to previously seated passengers from later boarding, potentially contagious passengers breathing near them. The resulting solution contained the number of passengers to place into each of the three boarding groups. If an airline is most concerned about the health risk to seated passengers from later boarding passengers walking near them, the best three group reverse pyramid method adapted for social distancing will first board passengers with window seats in the rear half of the airplane, then will board passengers with window seats in the front half of the airplane and those with aisle seats in the rear half of the airplane, and finally will board the passengers with aisle seats in the front half of the airplane. The resulting solution takes about 2% longer to board than the three group solution that minimizes boarding time while providing a 25% decrease in health risk to aisle seat passengers from later boarding passengers.
On determination conditions for total polyphenols in fruits and its derived products by Folin phenol methods
Year: 2008

Determination methods (Folin Denis method and Folin Ciocalteus method) of total polyphenols in fruit and its derived products were studied.  Ciocalteus method was more suitable to be used than Folin Denis method in stability, sensitivity, and accuracy. After a series of optimization experiments, the best determination procedure of Folin Ciocalteus method was put forward, that is, 5.0 mL water, 1.0 mL coloration reagent, and 3.0 mL 7.5% sodium carbonate solution are orderly added into 1.0 mL extract of samples, then blend it, and measure its optical density at 765 nm after coloration for 2 hours. Under this procedure, average recovery rate of gallic acid in 6 materials (including apple, pear, banana, persimmon, grape and wine) is 77.2% to 112.1% relative deviation of the method is 0.8% to 5.7%
A reversible RNA on switch that controls gene expression of AAV delivered therapeutics in vivo
Venue: Nature Biotechnology
Year: 2019

Widespread use of gene therapy technologies is limited in part by the lack of small genetic switches with wide dynamic ranges that control transgene expression without the requirement of additional protein components 1 5 In this study, we engineered a class of type III hammerhead ribozymes to develop RNA switches that are highly efficient at cis cleaving mammalian mRNAs and showed that they can be tightly regulated by a steric blocking antisense oligonucleotide. Our variant ribozymes enabled in vivo regulation of adeno associated virus (AAV) delivered transgenes, allowing dose dependent and up to 223 fold regulation of protein expression over at least 43 weeks. To test the potential of these reversible on switches in gene therapy for anemia of chronic kidney disease 6 we demonstrated regulated expression of physiological levels of erythropoietin with a well tolerated dose of the inducer oligonucleotide. These small, modular and efficient RNA switches may improve the safety and efficacy of gene therapies and broaden their use. In vivo control of expression levels of AAV delivered genes is enabled by an engineered RNA switch.
Apache Flink(tm) Stream and Batch Processing in a Single Engine
Venue: IEEE Data Eng. Bull.
Year: 2015

Modern enterprise applications are currently undergoing a complete paradigm shift away from traditional transactional processing to combined analytical and transactional processing. This challenge of combining two opposing query types in a single database management system results in additional requirements for transaction management as well. In this paper, we discuss our approach to achieve high throughput for transactional query processing while allowing concurrent analytical queries. We present our approach to distributed snapshot isolation and optimized two phase commit protocols.
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model
Year: 2019

The sharing economy literature has largely concentrated on the examination of peer to peer accommodation platforms such as Airbnb, with little attention paid on other innovations in collaborative consumption. This study investigates consumer adoption of the Uber mobile application through lenses of two theoretical models Diffusion of Innovation Theory and Technology Acceptance Model. The results suggest that relative advantage, compatibility, complexity, observability, and social influence have a significant influence on both perceived usefulness and perceived ease of use, which in turn lead to subsequent consumer attitudes and adoption intentions. This study demonstrates the integration of the two classic adoption theories.
Learning perceptual texture similarity and relative attributes from computational features
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)
Year: 2016

Previous work has shown that perceptual texture similarity and relative attributes cannot be well described by computational features. In this paper, we propose to predict human's visual perception of texture images by learning a non linear mapping from computational feature space to perceptual space. Hand crafted features and deep features, which were successfully applied in texture classification tasks, were extracted and used to train Random Forest and rankSVM models against perceptual data from psychophysical experiments. Three texture datasets were used to test our proposed method and the experiments show that the predictions of such learnt models are in high correlation with human's results.
In vitro models of exosome biology and toxicology: New frontiers in biomedical research.
Venue: Toxicology in vitro an international journal published in association with BIBRA
Year: 2019

Exosomes are secreted membrane bound vesicles containing a cargo of curated nucleic acids, proteins, and lipids that can alter gene expression in recipient cells. Toxic agents can alter exosome synthesis and bioactive cargo composition, thus allowing exosomes to serve as biomarkers of exposure and response. While human and animal studies have identified exosome biomarkers of organ toxicity, in vitro models are ideal to examine biological mechanisms of exosome function. Here, we discuss the importance of exosomes in toxicology research and describe applications of in vitro models in advancing our understanding of their role in exposure associated disease. This discussion of new research frontiers is in commemoration of the invaluable contributions of Dr. Daniel Acosta to the field of in vitro biology and toxicology. Emerging studies have implicated exosomes as mediators of neurodegeneration by shuttling pollutant induced pathogenic proteins and miRNAs from afflicted neurons to neighboring cells. Exosomes also provide a mechanistic link between inhalation exposures and airway inflammation, remodeling, and systemic effects. Exosomes provide the means for toxic agents to initiate oncogenic transformation and create favorable tumor microenvironments. Furthermore, exosome mediated drug delivery can alter drug pharmacologic profiles. Expansion in this field using in vitro models is essential to unlock the potential applications of exosome biology in toxicology.
Normative data and percentile curves for the three minute walk test and timed function tests in healthy Caucasian boys from 2.5 up to 6 years old
Venue: Neuromuscular Disorders
Year: 2019

The three minute walk test (3MWT) and timed function tests (TFTs) (rise from floor, 10 m run, climbing and descending four stairs) are currently used to evaluate functional capacity in young boys with neuromuscular disorders. This study aimed to generate normative data in healthy boys aged 2.5 up to 6 years for these tests and to provide percentile curves according to age and height. The relation between the 3MWT, TFTs and anthropometric variables was investigated. In total 179 boys (mean age: 4.1 y 1.0) were evaluated across four age (2.5 years; 3 years; 4 years and 5 years) and three height groups: <100 cm; 100 to <110 cm and =110 cm) Three minute walk distance (3MWD) increased significantly, from 168.4 m 18.8) at 2.5 years to 214.5 m 26.1) at 5 years and from 172.6 m 21.8) for children <100 cm to 212.7 m 26.2) for children =110 cm. TFTs times decreased significantly with age and height. Significant correlations between the anthropometric values, 3MWD and TFTs were found (r(s) 0.55 0.84; p <0.0001) These normative data and percentile curves provide a useful tool in the assessment of functional capacity in young boys. This study also confirms the association between functional tests and anthropometric values.
Methylammonium chloride as an interface modificator for planar structure perovskite solar cells with a high open circuit voltage of 1.19V
Year: 2020

Recently, the mixed cation perovskites have been widely used in high performance perovskite solar cells due to its excellent photoelectric properties. However, the mixed precursor based method, particularly the complicated composition engineering, will cause phase transitional strain, low phase crystallinity and phase instability. Hence, interface modification engineering is very necessary to improve the phase crystallinity and stability, and then to optimize the performance of the photovoltaic devices. Herein, an interfacial engineering strategy is developed to enlarge the grain size and enhance the crystallinity of perovskite film through inserting a methylammonium chloride (MACl) layer between the SnO2 electron transport layer and perovskite layer. Therefore, the carrier extraction and transport are accelerated and the interfacial recombination is suppressed. Consequently, the optimal MACl modified devices achieve a very high open circuit voltage of 1.19 V and a power conversion efficiency of 19.20% with the negligible hysteresis and enhanced stability in ambient condition, showing great superiority to the control devices without any modification.
Apport de la finance comportementale a l'analyse de la volatilite excessive des cours boursiers cas de la BRVM. (Contribution of behavioural finance to the analysis of excessive stock price excessive volatility: the case of the BRVM.
Year: 2020

<b>French Abstract:/b> L'objet de cet article est de mettre en evidence l'existence d'une finance comportementale comme alternative a l'efficience informationnelle a travers l'apport de la finance comportementale a l'analyse de la volatilite excessive des cours boursiers dans le cadre de la BRVM. Volatilite excessive qualifiee par Shiller (2000) d'exuberance irrationnelle. L'etude empirique porte sur deux echantillons collectes sur Bloomberg, et sont repartis comme suit (1) un echantillon regroupant toutes les actions de la BRVM, observees durant la periode 2000 2018. (2) un echantillon qui totalise 21 actions observees entre janvier 2005 et decembre 2018. Les resultats auxquels nous sommes parvenus, montrent l'existence d'une volatilite excessive issue d'une relation synchrone entre le volume de transaction du a des echanges des investisseurs sur confiants, et la volatilite conditionnelle des rendements du marche.<br>Mots cles Efficience, Volatilite excessive, Finance comportementale, Exces de confiance, Comportement gregaire, GARCH et BRVM.<br><br><b>English Abstract:/b> The purpose of this article is to highlight the existence of behavioural finance, as an alternative to informational efficiency, through the contribution of behavioural finance to the analysis of excessive stock price volatility in the framework of the BRVM. Excessive volatility qualified by Shiller (2000) as irrational exuberance. The empirical study is based on two samples collected on Bloomberg, and is distributed as follows: (1) a sample of all BRVM actions observed during the period 2000 2018. (2) a sample totalling 21 actions observed between January 2005 and December 2018. The results show the existence of excessive volatility resulting from a synchronous relationship between the volume of transactions due to overconfident investor trading and the conditional volatility of market returns.
SinReQ: Generalized Sinusoidal Regularization for Low Bitwidth Deep Quantized Training
Year: 2019

Deep quantization of neural networks (below eight bits) offers significant promise in reducing their compute and storage cost. Albeit alluring, without special techniques for training and optimization, deep quantization results in significant accuracy loss. To further mitigate this loss, we propose a novel sinusoidal regularization, called SinReQ1, for deep quantized training. SinReQ adds a periodic term to the original objective function of the underlying training algorithm. SinReQ exploits the periodicity, differentiability, and the desired convexity profile in sinusoidal functions to automatically propel weights towards values that are inherently closer to quantization levels. Since, this technique does not require invasive changes to the training procedure, SinReQ can harmoniously enhance quantized training algorithms. SinReQ offers generality and flexibility as it is not limited to a certain bitwidth or a uniform assignment of bitwidths across layers. We carry out experimentation using the AlexNet, CIFAR 10, ResNet 18, ResNet 20, SVHN, and VGG 11 DNNs with three to five bits for quantization and show the versatility of SinReQ in enhancing multiple quantized training algorithms, DoReFa [32] and WRPN  Averaging across all the bit configurations shows that SinReQ closes the accuracy gap between these two techniques and the full precision runs by 32.4% and 27.5% respectively. That is improving the absolute accuracy of DoReFa and WRPN by 2.8% and 2.1% respectively.
Imaging Performance of Polarization Insensitive Metalenses
Venue: ACS Photonics
Year: 2019

Metasurfaces have recently emerged as a promising technology to realize flat optical components with customized functionalities. In particular, their application to lenses in various imaging systems is of significant interest. However, a systematic and complete study of the focusing and imaging behavior of metalenses has not yet been conducted. In this work we analyze not only the on axis focusing performance, but also the field dependent wavefront aberrations via a phase retrieval optimization method. We find that, particularly for high NA metalenses, the field dependent geometrical aberrations like coma are dominant at the design wavelength, while for longer and shorter operation wavelengths, the effective numerical aperture is decreased and mainly spherical aberrations are dominant. Additionally, we investigate the spectral and angular bandwidth of a polarization insensitive metalens by analyzing the metalens efficiencies as a function of numerical aperture, field angle, and wavelength. We then compare.
Dissemination of antibiotic resistance genes (ARGs) via integrons in Escherichia coli: A risk to human health.
Venue: Environmental pollution
Year: 2020

With the induction of various emerging environmental contaminants such as antibiotic resistance genes (ARGs) environment is considered as a key indicator for the spread of antimicrobial resistance (AMR) As such, the ARGs mediated environmental pollution raises a significant public health concern worldwide. Among various genetic mechanisms that are involved in the dissemination of ARGs, integrons play a vital role in the dissemination of ARGs. Integrons are mobile genetic elements that can capture and spread ARGs among environmental settings via transmissible plasmids and transposons. Most of the ARGs are found in Gram negative bacteria and are primarily studied for their potential role in antibiotic resistance in clinical settings. As one of the most common microorganisms, Escherichia coli (E. coli) is widely studied as an indicator carrying drug resistant genes, so this article aims to provide an in depth study on the spread of ARGs via integrons associated with E. coli outside clinical settings and highlight their potential role as environmental contaminants. It also focuses on multiple but related aspects that do facilitate environmental pollution, i.e. ARGs from animal sources, water treatment plants situated at or near animal farms, agriculture fields, wild birds and animals. We believe that this updated study with summarized text, will facilitate the readers to understand the primary mechanisms as well as a variety of factors involved in the transmission and spread of ARGs among animals, humans, and the environment.
COVID 19: Measures to prevent hospital contagion. What do urologists need to know?
Venue: International braz j urol official journal of the Brazilian Society of Urology
Year: 2020

A new outbreak of respiratory infection caused by the novel coronavirus in late December 2019 in China caused standards of medical care to change not only for related areas but for the entire healthcare system, and when the WHO declared COVID 19 a pandemic new strategies of patient care had to be defined initially to optimize resources to confront the pandemic and then to protect healthcare personnel. As urologists, we must be involved in these new standards, since without an effective vaccine the risk of contagion is high; thus, the purpose of this review is to have orientation on the measures urologists should take in their everyday clinical practice.
Feature based Summarizing of Hotel Customer Reviews
Year: 2020

Due to the rapid increase of Internet, web opinion sources dynamically emerge which is useful for both potential customers and product manufacturers for prediction and decision purposes. These are the user generated contents written in natural languages and are unstructuredfree texts scheme. Therefore, opinion mining techniques become popular to automatically process customer reviews for extracting product features and user opinions expressed over them. Since customer reviews may contain both opinionated and factual sentences, a supervised machine learning technique applies for subjectivity classification to improve the mining performance. In this paper, we dedicate our work to the main subtask of opinion summarization. The task of product feature and opinion extraction is critical to opinion summarization, because its effectiveness significantly affects the identification of semantic relationships. The polarity and numeric score of all the features are determined by Senti WordNet Lexicon how intense the opinion is for both positive and negative features. The problem of opinion summarization refers how to relate the opinion words with respect to a certain feature. Probabilistic based model of supervised learning will improve the result that is more flexible and effective.  Opinion Mining, Feature based Ranking, SentiWordNet
United in Diversity, Divided in Adversity? Support for Right Wing Eurosceptic Parties in the Face of Threat Differs Across Nations
Venue: Front. Psychol.
Year: 2019

This article investigates whether the perceived threat of terrorism explains the support for right wing Eurosceptic parties and Euroscepticism above and beyond other relevant variables, including perceived economic and immigration threats. We first examined the entire Eurobarometer samples of 2014 and 2015, and then conducted survey experiments in four European Union (EU) countries, that is, United Kingdom (N 197) France (N 164) Italy (N 312) and Romania (N 144) Our findings suggest that the perceived threat of terrorism has a small effect on the negative attitudes toward the EU above and beyond the effect of immigration and economic threats and other basic control variables. The relationship between these variables varies across countries and it is less linear than we might expect.
Using Video Modeling to Teach Geometry Word Problems: A Strategy for Students With Learning Disabilities
Venue: Remedial and Special Education
Year: 2019

As K 12 mathematics standards shift toward emphasizing both conceptual and procedural knowledge in secondary courses such as algebra and geometry, the struggles for students with disabilities become more pronounced. To address these challenges, research has commonly explored the use of technology to aid in the teaching of students with disabilities. One such technology with a growing research base for instruction in the field of special education is the use of video modeling. Despite documented success for students with moderate to severe disabilities, the application of video modeling for instruction with students with a learning disability is largely unknown. This study sought to explore the benefits of video modeling to teach geometry word problems to three secondary students with a learning disability in mathematics. Across a single subject multiple baseline design, all three students demonstrated improved problem solving performance across all dependent variables measured. The results and their implications for the field of mathematics are discussed.