nils-herrmann/clean_scirepeval huggingface dataset:
Complementation of mitochondrial electron transport chain by manipulation of the NAD+/NADH ratio
Venue: Science

Taking control of cellular NAD+ concentrations Cellular concentrations of the nicotinamide adenine dinucleotide (NAD+ are critical for proper metabolism and are often altered in aging and disease. To enable better understanding of these processes, Titov et al. altered the concentration of NAD+ in particular cellular compartments. They did this through expression of a bacterial enzyme targeted to specific compartments of human cells in culture. Their experiments emphasize the important role of the electron transport chain in redox transfer of electrons to NADH, rather than proton pumping, in mitochondrial pathogenesis. Science, this issue p. 231 The process of borrowing a bacterial enzyme to control nicotinamide adenine dinucleotide concentrations in mammalian cells is discussed. A decline in electron transport chain (ETC) activity is associated with many human diseases. Although diminished mitochondrial adenosine triphosphate production is recognized as a source of pathology, the contribution of the associated reduction in the ratio of the amount of oxidized nicotinamide adenine dinucleotide (NAD+ to that of its reduced form (NADH) is less clear. We used a water forming NADH oxidase from Lactobacillus brevis (LbNOX) as a genetic tool for inducing a compartment specific increase of the NAD+/NADH ratio in human cells. We used LbNOX to demonstrate the dependence of key metabolic fluxes, gluconeogenesis, and signaling on the cytosolic or mitochondrial NAD+/NADH ratios. Expression of LbNOX in the cytosol or mitochondria ameliorated proliferative and metabolic defects caused by an impaired ETC. The results underscore the role of reductive stress in mitochondrial pathogenesis and demonstrate the utility of targeted LbNOX for direct, compartment specific manipulation of redox state.
Pemanfaatan E journal oleh Mahasiswa: Kajian Analisis Sitasi Terhadap Tesis Mahasiswa Klaster Saintek Universitas Gadjah Mada

Universitas Gadjah Mada Library provides various information resources either in printed or electronic formats. The Library has subscribed to electronic information resources in the form of ejournal databases. The availability and utilization of these resources need to be evaluated. This study is a citation analysis of theses of the students from science and technology cluster of Universitas Gadjah Mada in 2015. It is aimed at identifying: 1) types of information resources used by the students in thesis writing, 2)intensity of the utilization of e journal information resources by the students, and 3) the availability of the required information in the databases subscribed by UGM Library. The object of the study consisted of 7,925 citation derived from 222 theses of the students from science and technology cluster UGM. Data were obtained from documentation. This study used citation analysis to analyze all citations. The result of the study showed types of information resources used by the students in thesis writing were books, journals, theses, websites, proceedings, government regulations/acts, others (maps, learning materials, guides to laboratory practice) research reports and dissertations and papers. Books were information resources mostly used. Journals utilized in thesis writing comprised as much as 25% (1,997 citations) and 84% (1,685 citations) of the journals were English. As many as 1,078 citations (64% were available and 607 citations (36% unavailable in the journals subscribed by UGM Library.
Qualitative versus Quantitative Research Methods: Discovery or Justification?

In this paper, the author discusses the different perspectives on qualitative and quantitative research methods in terms of discovery and justification, which are discussed by Hunt (1991) in his famous marketing theory textbook. There is a growing consensus that the quantitative research method plays a crucial role in the justification of re search, and that qualitative methods are not good for justification but are excellent for discovery. However, previous research has not provided enough meaningful comparison of the two different methods, especially in marketing contexts. Therefore, this paper aims to address these issues by reviewing previous studies, discussing some concerns about the two methods, and proposing some valuable insights for conducting research with the two methods.
Quantitative marketing research

Adoption of online shopping varies depending on the culture and the shopper's exposure to the internet. This study was conducted to: 1) determine the magnitude of online shopping adoption; 2) identify major drivers and barriers affecting online shopping adoption and dis adoption; 3) explain the impacts of national culture; and 4) propose implications as to how e marketers should address customers' behavior to maximize profitability and sustain competitive advantage. Results revealed that Czechs and Slovaks used the internet shopping more intensively compared to Filipinos. Secure payment process was perceived greatly among the three nationalities to highly influence their online shopping engagement. Culture also affects online shopping behavior. Unlike Czechs and Slovaks, Filipinos express high dependence on the influence of interpersonal communication or opinion of friends/relatives including superiors' ideas and opinions as well as purchase products based on immediate needs. In addition, the emphasis on risk and the initiative to minimize it through minding reputable product brands and avoidance to new products and innovation is less pronounced among Czech and Slovaks. All these results imply that e retailers should devise strategies to create a more positive online shopping experience to a wide range of customers. These include accurate description of products, on time delivery, offer various payment options and have an effective dispute resolution facility. Tapping web assurance service is also a good initiative to alleviate consumers' trust and confidence. As opinions of superiors and the influence of external reasons matter for Filipinos, this enhances the effectiveness e retailers' initiative to tap social media to expose customers' online shopping experiences and initiate word of mouth marketing. E retailers must also perform a cost benefit analysis for appropriate decision making. For future study, it is suggested to increase sampling size of respondents for a better generalization of results.
MoS2 Quantum Dot Interspersed Li4Ti5O12 Nanosheets with Enhanced Performance for Li and Na Ion Batteries

Rational nanoscale surface engineering of electroactive nanoarchitecture is highly desirable, since it can both secure high surface controlled energy storage and sustain the structural integrity for long time and high rate cycling. Herein, ultrasmall MoS2 quantum dots (QDs) are exploited as surface sensitizers to boost the electrochemical properties of Li4Ti5O12 (LTO) The LTO/MoS2 composite is prepared by anchoring 2D LTO nanosheets with ultrasmall MoS2 QDs using a simple and effective assembly technique. Impressively, such 0D/2D heterostructure composites possess enhanced surface controlled Li/Na storage behavior. This unprecedented Li/Na storage process provides a LTO/MoS2 composite with outstanding Li/Na storage properties, such as high capacity and high rate capability as well as long term cycling stability. As anodes in Li ion batteries, the materials have a stable specific capacity of 170 mAhg 1 after 20 cycles and are able to retain 94.1% of this capacity after 1000 cycles, i.e. 160 mAhg 1, at a high rate of 10 C. Due to these impressice performance, the presented 0D/2D heterostructure has great potential in high performance LIBs and sodium ion batteries.
Theory Of Games And Statistical Decisions

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A high efficiency rectifier for ambient RF energy harvesting at 940 MHz
Venue: 2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT)

This paper presents a simple rectifier working at 940 MHz for low power wireless power transfer (WPT) system. By analyzing different diodes and topologies, a rectifier circuit is designed in an ultra low ambient power density harvesting system. When the input power Pin is 20 dBm and the load is 3000 O, the power conversion efficiency (PCE) is 40.1% and the output voltage is 110 mV. The PCE is larger than 30% over a range of Pin from 23 dBm to 1 dBm.
Reaching Our Successors: Millennial Generation Medical Students and Plastic Surgery as a Career Choice
Venue: Nigerian journal of surgery official publication of the Nigerian Surgical Research Society

Research shows that career choices are made as a result of preconceived ideas and exposure to a specialty. If plastic surgery is to continue to attract the best, factors that may dissuade the millennial generation medical students from pursuing plastic surgery as a career must be identified and addressed. We explored the determinants of interest in plastic surgery as a career choice amongst millennial generation medical students.  A survey regarding factors considered important in choosing plastic surgery was conducted amongst final year medical students in September 2011. Participants were asked to rate their agreement or disagreement with 18 statements on a four point Likert scale (1 very unimportant; 4 very important) Statistical analyses were performed using Chi square test to compare categorical variables between male and female medical students. Values of P 0.05 were considered significant.  The most important factors influencing the decision of medical students to choose plastic surgery as a career include; plastic surgeons appear happy in their work 93 (85% Plastic surgeons have rewarding careers 78 (71% and plastic surgeons provide good role models for medical students 96 (87% An overall score of 3.0 was seen in all the subscales except in gender equity and life style concerns. There were statistically significant differences between male and female students in opinions of a spouse, a significant other, or family members in choosing plastic surgery P 0.5 and my choice of plastic surgery will be influenced by my decision to have a family P 0.5.  Factors influencing the decision of medical students to choose plastic surgery were related to the perceived quality of life as a plastic surgeon and the ability of plastic surgeons to provide good role models for medical students. Female medical students were more concerned with gender equity and work life balance in selecting plastic surgery compared to male medical students.
Physical Activity Habits, Limitations, and Predictors in People with Inflammatory Bowel Disease: A Large Cross sectional Online Survey
Venue: Inflammatory bowel diseases

Limited evidence suggests that physical activity has beneficial effects in people with inflammatory bowel disease (IBD) This study aimed to determine the physical activity habits of adults with IBD, the limitations to physical activity they experience because of their disease, and the extent to which their physical activity is affected by various demographic, clinical, and psychological factors. Data were collected on 859 adult participants (52% with Crohn's disease, 75% women) through an online survey conducted between May and June 2016. Measures included physical activity (International Physical Activity Questionnaire) psychological symptoms (Hospital Anxiety and Depression Scale) fatigue (subitems of IBD fatigue scale) exercise perceptions (Exercise Benefits/Barriers Scale) and disease activity. Regression analyses were used to identify predictors of physical activity. Only 17% of respondents were categorized as "high active." Self reported physical activity levels decreased, and fatigue and psychological scores increased, with increasing disease activity. Walking was the most common activity performed (57% of respondents) and running/jogging the most commonly avoided (34% Many participants (n 677) reported that IBD limited their physical activity, for reasons including abdominal/joint pain (70% fatigue/tiredness (69% disease flare up (63% and increased toilet urgency (61% Physical activity was independently associated with depression, disease activity, and perceived barriers to exercise in people with Crohn's disease, and depression and age in people with ulcerative or indeterminate colitis (all P 0.038) This survey highlights several important factors that should be considered by designers of future physical activity interventions for people with IBD.
On the RR Lyrae stars in globulars: IV. \omega$ Centauri Optical UBVRI Photometry

New accurate and homogeneous optical UBVRI photometry has been obtained for variable stars in the Galactic globular \omega$ Cen (NGC 5139) We secured 8202 CCD images covering a time interval of 24 years and a sky area of 84x48 arcmin. The current data were complemented with data available in the literature and provided new, homogeneous pulsation parameters (mean magnitudes, luminosity amplitudes,periods) for 187 candidate \omega$ Cen RR Lyrae (RRLs) Among them we have 101 RRc (first overtone) 85 RRab (fundamental) and a single candidate RRd (double mode) variables. Candidate Blazhko RRLs show periods and colors that are intermediate between RRc and RRab variables, suggesting that they are transitional objects. The comparison of the period distribution and of the Bailey diagram indicates that RRLs in \omega$ Cen show a long period tail not present in typical Oosterhoff II (OoII) globulars. The RRLs in dwarf spheroidals and in ultra faint dwarfs have properties between Oosterhoff intermediate and OoII clusters. Metallicity plays a key role in shaping the above evidence. These findings do not support the hypothesis that \omega$ Cen is the core remnant of a spoiled dwarf galaxy. Using optical Period Wesenheit relations that are reddening free and minimally dependent on metallicity we find a mean distance to \omega$ Cen of 13.71$\pm$0.08$\pm$0.01 mag (semi empirical and theoretical calibrations) Finally, we invert the I band Period Luminosity Metallicity relation to estimate individual RRLs metal abundances. The metallicity distribution agrees quite well with spectroscopic and photometric metallicity estimates available in the literature.
A real options model for renewable energy investment with application to solar photovoltaic power generation in China

This paper proposes a real options model for evaluating renewable energy investment by considering uncertain factors such as CO2 price, non renewable energy cost, investment cost and market price of electricity. A phase out mechanism is built into the model to reflect the long term changes of subsidy policy. We apply the proposed model to empirically evaluate the investment value and optimal timing for solar photovoltaic power generation in China. Our empirical results show that the current investment environment in China may not be able to attract immediate investment, while the development of carbon market helps advance the optimal investment time. A sensitivity analysis is conducted to investigate the dynamics of investment value and optimal timing under the changes of unit generating capacity, subsidy level, market price of electricity, CO2 price and investment cost. It is found that the high investment cost and the volatility of electricity and CO2 prices, are not conducive to attract immediate investment. Instead, increasing the level of subsidy, promoting technological progress and maintaining the stability of market are useful to stimulate investment.
Playing for Data: Ground Truth from Computer Games
Venue: ECCV

Recent progress in computer vision has been driven by high capacity models trained on large datasets. Unfortunately, creating large datasets with pixel level labels has been extremely costly due to the amount of human effort required. In this paper, we present an approach to rapidly creating pixel accurate semantic label maps for images extracted from modern computer games. Although the source code and the internal operation of commercial games are inaccessible, we show that associations between image patches can be reconstructed from the communication between the game and the graphics hardware. This enables rapid propagation of semantic labels within and across images synthesized by the game, with no access to the source code or the content. We validate the presented approach by producing dense pixel level semantic annotations for 25 thousand images synthesized by a photorealistic open world computer game. Experiments on semantic segmentation datasets show that using the acquired data to supplement real world images significantly increases accuracy and that the acquired data enables reducing the amount of hand labeled real world data: models trained with game data and just \tfrac{1}{3} of the CamVid training set outperform models trained on the complete CamVid training set.
From Twitter to detector: real time traffic incident detection using social media data

The effectiveness of traditional incident detection is often limited by sparse sensor coverage, and reporting incidents to emergency response systems is labor intensive. We propose to mine tweet texts to extract incident information on both highways and arterials as an efficient and cost effective alternative to existing data sources. This paper presents a methodology to crawl, process and filter tweets that are accessible by the public for free. Tweets are acquired from Twitter using the REST API in real time. The process of adaptive data acquisition establishes a dictionary of important keywords and their combinations that can imply traffic incidents (TI) A tweet is then mapped into a high dimensional binary vector in a feature space formed by the dictionary, and classified into either TI related or not. All the TI tweets are then geocoded to determine their locations, and further classified into one of the five incident categories. We apply the methodology in two regions, the Pittsburgh and Philadelphia Metropolitan Areas. Overall, mining tweets holds great potentials to complement existing traffic incident data in a very cheap way. A small sample of tweets acquired from the Twitter API cover most of the incidents reported in the existing data set, and additional incidents can be identified through analyzing tweets text. Twitter also provides ample additional information with a reasonable coverage on arterials. A tweet that is related to TI and geocodable accounts for approximately 5% of all the acquired tweets. Of those geocodable TI tweets, 60 70% are posted by influential users (IU) namely public Twitter accounts mostly owned by public agencies and media, while the rest is contributed by individual users. There is more incident information provided by Twitter on weekends than on weekdays. Within the same day, both individuals and IUs tend to report incidents more frequently during the day time than at night, especially during traffic peak hours. Individual tweets are more likely to report incidents near the center of a city, and the volume of information significantly decays outwards from the center.  Twitter Traffic Status Language: en
Combining Lexicon and Machine Learning Method to Enhance the Accuracy of Sentiment Analysis on Big Data

During the day to day life, our opinions and opinions of others toward a product or event play a vital role in the decision making process. In recent times, the outburst of social media over the web has an abundant impact on an individual's and the organization's decision making process about certain content. Twitter which is a leading micro blogging website allows the people to post their opinions, state of mind, or status toward products or any events such as politics and sports. As more number of people lively connected to the twitter, more data are generated by the people which lead to the big data. Sentiment analysis performs an essential role to extract the content of the tweets. This research work consists of two components: a lexicon builder and a sentiment classifier. In addition the contextual valence shifter was used to evaluate the context sentiments and to solve the contextdependent problem. The combination of these two components will produce better accuracy.
Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons
Venue: CICLing

Many different attempts have been made to determine sentiment polarity in tweets, using emotion lexicons and different NLP techniques with machine learning. In this paper we focus on using emotion lexicons and machine learning only, avoiding the use of additional NLP techniques. We present a scheme that is able to outperform other systems that use both natural language processing and distributional semantics. Our proposal consists on using a cascading classifier on lexicon features to improve accuracy. We evaluate our results with the TASS 2015 corpus, reaching an accuracy only 0.07 below the top ranked system for task 1, 3 levels, whole test corpus. The cascading method we implemented consisted on using the results of a first stage classification with Multinomial Naive Bayes as additional columns for a second stage classification using a Naive Bayes Tree classifier with feature selection. We tested with at least 30 different classifiers and this combination yielded the best results.
Hybrid Based Approach to Enhance the Accuracy of Sentiment Analysis on Tweets

The opinion of others toward a product or event plays an important role in the decision making process. In recent times, the explosion of social media over the web has a rich impact on an individual's and the organization's decisionmaking process about certain content. Twitter which is a leading micro blogging website allows the people to post their opinions, state of mind, or status toward products or any events such as politics and sports. Sentiment analysis performs an essential role to extract the content of the tweets. This research work consists of two components: a lexicon builder and a sentiment classifier. The proposed hybrid based Senti_iLexi_iClassi approach is the combination of lexicon and machine learning based approaches. In sentiment analysis, the context dependent word is a major problem. To solve this problem, the existing contextual valence shifter (CVS) method is improved and used to assign polarity values using the proposed Context Polarity Measure (CPM) To find the polarity of context dependent text, the n grams model is used. The tweets are classified more accurately and produces better results. Keywords sentiment analysis, context dependent word, hybrid based approach, retweet count, support vector machines.
Analysis of the Chinese Airline Network as multi layer networks

This paper encapsulates the Chinese Airline Network (CAN) into multi layer infrastructures via the "k core decomposition" method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN) albeit less redundant.