nils-herrmann/clean_scirepeval huggingface dataset:
Keyword Extraction from Scientific Articles in Bahasa Indonesia using TextRank Algorithm
Venue: 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)
Year: 2020

Some of text mining application usually uses the keyword extraction method to obtain the text features. Most of the text mining application implements keyword extraction in the pre processing stage. The keyword extraction method is a necessary process to obtain the depiction of an article or document. In general, this research is divided into three major stages. First of all, the pre processing stage. This stage prepares and cleans the scientific article from insignificant parts (such as header, footer, page number, author name, or author affiliation) before the keyword extraction stage. Second, the keyword extraction stage applies the TextRank algorithm to extract the keywords. Third, the post processing stage to generate keyphrase based on the rank of the vertices and their adjacent. The results show that the number of assigned keywords plays a crucial role in determining the recall value. The recall value of the TextRank algorithm raises from 38.46% (5 keywords) to 55.26% (10 keywords) and 61.54% (15 keywords) It occurs to the keyword extraction from scientific articles with reference inclusion. A similar result occurs to the keyword extraction from scientific articles without references inclusion. Future research can consider eliminating the post processing stage by including multiword expression candidates in the pre processing stage to improve keyword extraction time.
Number of pulses or number of sessions? An open label study of trajectories of improvement for once vs. twice daily dorsomedial prefrontal rTMS in major depression
Venue: Brain Stimulation
Year: 2018

Repetitive transcranial magnetic stimulation (rTMS) shows efficacy in the treatment of major depressive episodes (MDEs) but can require =4 6 weeks for maximal effect. Recent studies suggest that multiple daily sessions of rTMS can accelerate response without reducing therapeutic efficacy. However, it is unresolved whether therapeutic effects track cumulative number of pulses, or cumulative number of sessions.  This open label study reviewed clinical outcomes over a 20 30 session course of high frequency bilateral dorsomedial prefrontal cortex (DMPFC) rTMS among patients receiving 6000 pulses/day delivered either in twice daily sessions 80 min apart (at 20 Hz) or single, longer, once daily sessions (at 10 Hz)  A retrospective chart review identified 130 MDD patients who underwent 20 30 daily sessions of bilateral DMPFC rTMS (Once daily, n 65; Twice daily, n 65) at a single Canadian clinic.  Mixed effects modeling revealed significantly faster improvement (group by time interaction) for twice daily versus once daily DMPFC rTMS. Across both groups, the pace of improvement showed a consistent relationship with number of cumulative sessions, but not with cumulative number of pulses. Although the twice daily group completed treatment in half as many days, final clinical outcomes did not differ significantly between groups on dichotomous measures (response/remission rates: once daily, 35.4%/33.8% twice daily, 41.5%/35.4% or continuous measures, or on overall response distribution.  Twice daily rTMS appears feasible, tolerable, and capable of achieving comparable results to once daily rTMS, while also reducing course length approximately twofold. Therapeutic gains tracked the cumulative number of sessions, not pulses. Future randomized studies comparing once daily to multiple daily rTMS sessions, while controlling for number of pulses, may be warranted.
INCOME TAX ANALYSIS OF E COMMERCE TRANSACTIONS IN INDONESIA
Year: 2020

Tax on online transactions is one of the expansion of tax revenue which presents challenges for the taxation system in Indonesia. Basically, taxpayer obligations for conventional businesses and online businesses (e commerce) are no different. In Indonesia, people like to make buying and selling online. This research uses a normative and empirical approach that is applied by conducting library studies and field studies through data collection from interviews that will be conducted for ecommerce players in Indonesia, Tax Practitioners of the Tax Service Office (KPP) in Indonesia and academics who master taxation. The results of interviews with ecommerce actors obtain information that most e commerce actors do not agree with the imposition of tax collection on transactions on e commerce transactions. The head of the extensification and extension department at the Tax Service Office (KPP) revealed that the potential for online business transactions in Indonesia is growing very rapidly but the data available so far have not been able to distinguish payments from taxes on e transaction and conventional trading.
GENRE ANALYSIS
Year: 2009

Latar belakang penelitian ini adalah kecenderungan para mahasiswa untuk mentransfer unsur unsur bahasa ibu ke dalam bahasa Inggris. Hal ini akan membuat ujaran ujaran mereka tidak sesuai dengan budaya bahasa Inggris. Penelitian ini dilaksanakan di Universitas Stikubank Semarang. Objek penelitian ini terdiri dari 6 mahasiswa jurusan bahasa Inggris. Para mahasiswa tersebut diminta untuk berpidato dalam bahasa Inggris. Hasil penelitian menunjukan bahwa tujuan komunikasi, struktur wacana, cirri ciri linguistik dari Hortatory Expositions yang diproduksi oleh mahasiswa sesuai dengan Hortatory Expositions yang diproduksi oleh penutur asing (sesuai dengan teori Hortatory Expositions) Akan tetapi mahasiswa membuat beberapa kesalahan lexicogrammar yang dapat diklasifikasikan ke dalam kesalahan tense, kesalahan kosa kata, dan kesalahan finite. Kesalahan kesalahan ini akan mempunyai dampak pada makna wacana. Berdasarkan penemuan dalam penelitian ini, kami mengajukan beberapa saran sebagai berikut: (1) tujuan komunikasi, struktur wacana, ciri ciri linguistic Hortatory Expositions bahasa Inggris sebaiknya diajarkan kepada mahasiswa (2) mahasiswa maupun dosen dapat belajar dari kesalahan kesalahan yang dibuat oleh mahasiswa dalam penelitian ini.
Ex ante uncertainty as a determinant of Initial Coin Offering underpricing
Year: 2019

This thesis examines the influence of ex ante uncertainty determinants on the underpricing of Initial Coin Offering (ICO) in a hand collected sample in 2017 2018. The proxies used for ex ante uncertainty are adapted from the models of IPO underpricing, specifically Beatty and Ritter (1986) ICOs differ from IPOs in numerous ways and this research utilizes an established model for IPO underpricing for ICOs. The proxies used are issue size, whitepaper pages and project age. The results suggest that ICOs, on average, are underpriced and that underpricing is greater if ex ante uncertainty is greater.
Cardiac Arrhythmias in COVID 19 Infection
Venue: Circulation. Arrhythmia and electrophysiology
Year: 2020

Severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) the virus that causes COVID 19, has affected >1 million people  As of this writing, >60 000 people have died as a result of this virus in the United States alone,2 and New York City has over 167 000 confirmed coronavirus disease 2019 (COVID 19) cases, the highest number of any city in the United States. New York City is now considered a COVID 19 epicenter. While this disease predominantly affects the lungs, often leading to pneumonia and acute respiratory distress syndrome, adverse effects on the heart have also been described.3 Electrophysiological issues are increasingly recognized as a disease manifestation, with one study reporting arrhythmias in 44% of individuals with severe  Sudden cardiac death has also been described anecdotally.5 However, the type and severity of arrhythmias associated with COVID 19 have not been described. In this article, we present 4 cases that highlight the spectrum of arrhythmias observed in patients with COVID 19 infection. New York Presbyterian/Columbia University Irving Medical Center is located in the New York City COVID19 epicenter and herein, we describe the clinical presentations we have seen and discuss decision making regarding therapeutic options, acknowledging difficulties pertaining to resource conservation and healthcare worker safety. This study was approved by the Columbia University Institutional Review Board, and procedures followed were in accordance with institutional guidelines. Due to the nature of the study, written informed consent was not required. The authors declare that all supporting data are available within the article.  HIGH GRADE ATRIOVENTRICULAR BLOCK
Implementation of lean manufacturing technologies as a resource for sustainable development of a commercial bank
Year: 2020

The tough regulatory requirements of the Central Bank of Russia, competition with transnational banks and a reduction in the volume of issued loans made it necessary to develop measures aimed to increase the efficiency of a regional commercial bank. In this regard, search for new management methods, implementation of analysis tools and improvement of a financial organization activity are relevant. The article proposes to optimize business the processes of the management system of the regional commercial bank by using lean manufacturing tools. The advantages and usefulness of a value stream map for business processes analysis and optimization are considered and substantiated. The tool was implemented in relation to the business process of the commercial bank <Lending to individuals> The time of operations and interoperation intervals was determined, risk analysis was made, and measures were proposed to improve the process. The economic efficiency of corrective measures was calculated.
VOF Simulation of Bubble Characteristics of Subcooled Flow Boiling
Year: 2012

Subcooled flow boiling in vertical rectangular channel under different pressure and heat flux was numerically investigated based on CFD.The phase change process was accomplished through the User Defined Function(UDF) to describe the mass and energy transportation,and the interface of liquid and vapor was captured by the Volume of Fluid(VOF) method.The results reveal that the interaction of evaporation and condensation in the cross section perpendicular to the flow direction forms the secondary flow,and enhances the natural convection near the wall.The bubble grows up in the sliding process,and merges with the adjacent ones to form bigger one,which has greater deformation.The bubble sliding enhances the heat transfer in the down stream and restrains the nucleation.With the higher pressure and lower heat flux,the bubble size,growth rate and the average void fraction at the outlet will be reduced.The simulation results of bubble growth and the wall temperature near the Onset of Boiling(ONB) agree well with the correlations in the literature.
The Impacts of Film Tourism on Place Change and Tourist Experience: A Lesson from Eat Pray Love in Bali, Indonesia
Year: 2018

This chapter aims to analyse and discuss how the tourist experience has been transformed over time in Ubud, Bali, in part by the impacts of the Hollywood film Eat Pray Love (EPL) A sudden influx of EPL motivated tourists has resulted in dramatic and long lasting changes to the existing tourism products and activities offered in loco. A subsequent change in the role and function of places to facilitate these new tourism products and activities is noticeable, changes that have also altered the experiences of tourists. The most significant changes that have taken place as a result of the impacts of the film EPL are twofold: the commodification of agricultural places and the commodification of social practices and sacred rituals. During this process, new hybrid forms of tourism experiences have been created, which have in turn led to the enrichment of the tourism experiences on offer in Ubud. A longitudinal autoethnographic approach was employed using direct observations and experiences, informal conversations with locals and other tourists, photographs and field accounts of the tours in June 2010, July 2013 and April 2016.
Effects of Information and Communication Technology and Relationship Network on International Trade
Year: 2011

We argued that the there exists information cost in international trade. Information and communication technology, relationship network play an important role in decreasing the information cost of international trade, thus facilitating trade as a result. We use Asian overseas Chinese network to test our assumptions. We found that the role of relationship network is more important than information and communication technology, in addition, the improvement of information and communication technology will worsen the positive effect that the Asian overseas Chinese network on China's import, but has no obvious effect on China's export.
Probabilistic Wind Power Forecasting Approach via Instance Based Transfer Learning Embedded Gradient Boosting Decision Trees
Year: 2019

With the high wind penetration in the power system, accurate and reliable probabilistic wind power forecasting has become even more significant for the reliability of the power system. In this paper, an instance based transfer learning method combined with gradient boosting decision trees (GBDT) is proposed to develop a wind power quantile regression model. Based on the spatial cross correlation characteristic of wind power generations in different zones, the proposed model utilizes wind power generations in correlated zones as the source problems of instance based transfer learning. By incorporating the training data of source problems into the training process, the proposed model successfully reduces the prediction error of wind power generation in the target zone. To prevent negative transfer, this paper proposes a method that properly assigns weights to data from different source problems in the training process, whereby the weights of related source problems are increased, while those of unrelated ones are reduced. Case studies are developed based on the dataset from the Global Energy Forecasting Competition 2014 (GEFCom2014) The results confirm that the proposed model successfully improves the prediction accuracy compared to GBDT based benchmark models, especially when the target problem has a small training set while resourceful source problems are available.
The public sphere and Habermas: reflections on the current state of theory in public library research
Venue: J. Documentation
Year: 2021

PurposeThis article addresses a recent debate in this journal between Buschman and Widdersheim and Koizumi on public libraries and public sphere theory in library and information science (LIS) The article moves beyond the debate as the debate has been too focused on the theories of Jurgen Habermas. In order to really understand the democratic mission of public libraries and how it is related to the public sphere, the author argues that LIS scholars need to look beyond Habermas' theories of the public sphere. is a theoretical article that discusses different theories of the public sphere, and how they have been and can be applied in library and information science. author finds that a main disagreement between Buschman and Widdersheim and Koizumi is whether one can use the concept of a public sphere without doing it in a "traditional" Habermasian way. The answers put forward in this article, is that we can and should look beyond Habermas' work when seeking to understand the role of public libraries as public spheres. forward theories that are not commonly used in LIS, and advocates for broadening the theoretical scope of LIS scholars studying the relations between public libraries and public spheres.
Design of Energy Efficient A/D Converters with Partial Embedded Equalization for High Speed Wireline Receiver Applications
Year: 2015

As the data rates of wireline communication links increases, channel impairments such as skin effect, dielectric loss, fiber dispersion, reflections and cross talk become more pronounced. This warrants more interest in analog to digital converter (ADC) based serial link receivers, as they allow for more complex and flexible back end digital signal processing (DSP) relative to binary or mixedsignal receivers. Utilizing this back end DSP allows for complex digital equalization and more bandwidth efficient modulation schemes, while also displaying reduced process/voltage/temperature (PVT) sensitivity. Furthermore, these architectures offer straightforward design translation and can directly leverage the area and power scaling offered by new CMOS technology nodes. However, the power consumption of the ADC front end and subsequent digital signal processing is a major issue. Embedding partial equalization inside the front end ADC can potentially result in lowering the complexity of back end DSP and/or decreasing the ADC resolution requirement, which results in a more energy efficient receiver. This work presents efficient implementations for multi GS/s time interleaved ADCs with partial equalization. First prototype details a 6b 1.6GS/s ADC with a novel embedded redundant cycle 1 tap DFE structure in 90nm CMOS. The other two prototypes explain more complex 6b 10GS/s ADCs with efficiently embedded feed forward equalization (FFE) and decision feedback equalization (DFE) in 65nm CMOS. Leveraging a time interleaved successive approximation ADC architecture, new structures for embedded DFE and FFE are proposed with low power/area overhead. Measurement results over FR4 channels verify the effectiveness of proposed embedded equalization schemes. Ehsan Zhian Tabasy received the B.S. degree from Ferdowsi University of Mashhad, Mashhad, Iran, in 2006, and the M.S. degree from the University of Tehran, Tehran, Iran, in 2009, both in electrical engineering. He is currently working toward the Ph.D. degree at Texas A&M University, College Station, TX, USA. His research interests include high speed analog and mixed signal integrated circuit design, with special emphasis on data converters. Mr. Zhian Tabasy was a co recipient of the 2012 Intel/Analog Devices/Catalyst Foundation CICC Student Scholarship Award.
Enhancement of solubility and dissolution rate of baicalein, wogonin and oroxylin A extracted from Radix scutellariae.
Venue: International journal of pharmaceutics
Year: 2017

Baicalein, wogonin, and oroxylin A are three major hydrophobic components in the extract of Radix scutellariae with wide spectrum of pharmacological applications. The purpose of this study was to enhance the solubility, dissolution rate and stability of baicalein, wogonin and oroxylin A by solid dispersion (SD) technique. SD of the extract with various polymers was prepared to select the best carrier. Solubility study, chemical stability study and dissolution study were performed to characterize the SD. The solubility of all three components, after forming solid dispersion with povidone K 30 (PVP K 30) was significantly increased in pH 6.8 medium at room temperature. Stability study conducted for 80days elucidated that the SD in powder state was fairly stable without the aid of Vitamin C (VC) VC was required as antioxidant to impart stability to baicalein in aqueous medium. The dissolution test of the SD of three components, admixed with VC at the weight ratio of 1:6 (Radix scutellariae extract: VC, w/w) exhibited faster dissolution rate with 100% release of all components. Pharmacokinetic study of baicalein solid dispersion revealed that AUC and Cmax significantly increased by solid dispersion preparation. Thus, the current developed method, being simple, economical and effective, can be useful for the production of soluble dosage forms of the extract of Radix scutellariae in commercial scale.
Achieving self congruency? Examining why individuals reconstruct their virtual identity in communities of interest established within social network platforms
Venue: Comput. Hum. Behav.
Year: 2015

Some people reconstruct an online identity due to vanity.Some individuals reconstruct an online identity to achieve disinhibition.Someone reconstructs an online identity to escape from old social networks.Some people reconstruct an online identity due to privacy concern.Self discrepancy and regulatory focus theories were used to interpret results. In communities of interest established within social network platforms (such as QQ in China) some people reconstruct a virtual identity different from their physical identity for various reasons. Prior studies have investigated identity reconstruction in less anonymous environments, such as online dating sites and Facebook, and also investigated the more general topic of "self presentation" in online settings. A comprehensive and systematic investigation of identity reconstruction in anonymous social network communities, however, is still called for. Using a qualitative approach, this study investigated 47 community members through interviews or questionnaires to explore the reasons for reconstructing virtual identity in communities of interest established within the second largest social network platform of the world: QQ. Content analysis reveals that people reconstruct their identity in anonymous social network communities due to vanity, disinhibition, enjoyment, access to new social networks, escape from old social networks, privacy concern, and avoidance of disturbance. These factors are interpreted based on self discrepancy theory and regulatory focus theory. The theoretical contributions of this study are discussed and practical implications are also presented.
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy
Venue: Medical Imaging
Year: 2015

Dynamic contrast enhanced breast magnetic resonance imaging (DCE MRI) is used increasingly in diagnosis of breast cancer and assessment of treatment efficacy in current clinical practice. The purpose of this preliminary study is to develop and test a new quantitative kinetic image feature analysis method and biomarker to predict response of breast cancer patients to neoadjuvant chemotherapy using breast MR images acquired before the chemotherapy. For this purpose, we developed a computer aided detection scheme to automatically segment breast areas and tumors depicting on the sequentially scanned breast MR images. From a contrast enhancement map generated by subtraction of two image sets scanned pre and post injection of contrast agent, our scheme computed 38 morphological and kinetic image features from both tumor and background parenchymal regions. We applied a number of statistical data analysis methods to identify effective image features in predicting response of the patients to the chemotherapy. Based on the performance assessment of individual features and their correlations, we applied a fusion method to generate a final image biomarker. A breast MR image dataset involving 68 patients was used in this study. Among them, 25 had complete response and 43 had partially response to the chemotherapy based on the RECIST guideline. Using this image feature fusion based biomarker, the area under a receiver operating characteristic curve is AUC 0.850+ 0.047. This study demonstrated that a biomarker developed from the fusion of kinetic image features computed from breast MR images acquired pre chemotherapy has potentially higher discriminatory power in predicting response of the patients to the chemotherapy.