nils-herrmann/clean_scirepeval huggingface dataset:
Model Based Recursive Partitioning for Subgroup Analyses
Venue: The international journal of biostatistics
Year: 2016

The identification of patient subgroups with differential treatment effects is the first step towards individualised treatments. A current draft guideline by the EMA discusses potentials and problems in subgroup analyses and formulated challenges to the development of appropriate statistical procedures for the data driven identification of patient subgroups. We introduce model based recursive partitioning as a procedure for the automated detection of patient subgroups that are identifiable by predictive factors. The method starts with a model for the overall treatment effect as defined for the primary analysis in the study protocol and uses measures for detecting parameter instabilities in this treatment effect. The procedure produces a segmented model with differential treatment parameters corresponding to each patient subgroup. The subgroups are linked to predictive factors by means of a decision tree. The method is applied to the search for subgroups of patients suffering from amyotrophic lateral sclerosis that differ with respect to their Riluzole treatment effect, the only currently approved drug for this disease.
b Elemene enhances the efficacy of gefitinib on glioblastoma multiforme cells through the inhibition of the EGFR signaling pathway.
Venue: International journal of oncology
Year: 2016

Glioblastoma multiforme (GBM) is the most common and severe form of primary tumor in the central nervous system of adults which has poor prognosis and limited therapeutic options. Epidermal growth factor receptor (EGFR) inhibitor, such as gefitinib (brand name Iressa, ZD1839) has been approved as a targeted medicine for several types of tumor including glioblastoma multiforme. However, gefitinib exerted very limited effects on some glioblastoma multiforme patients after a period of treatment due to intrinsic and acquired drug resistance. b Elemene, a natural plant drug extracted from Curcuma wenyujin, has shown promising anticancer effects against a broad spectrum of tumors. In the present study, we found that b elemene could enhance the chemosensitivity of glioblastoma multiforme cells to gefitinib. The combination medication of b elemene and gefitinib not only inhibited the survival and proliferation of glioblastoma multiforme cells via inhibition of EGFR signaling pathway but also induced more distinct apoptosis and autophagy in the glioblastoma multiforme cells than the gefitinib monotherapy. These results showed that b elemene might be one potential adjuvant to enhance the effect of EGFR inhibitor and reduce the resistance of gefitinib in glioblastoma multiforme.
Ammonium persulphate induced synthesis of polymethyl methacrylate grafted sodium alginate composite films with high strength for food packaging.
Venue: International journal of biological macromolecules
Year: 2019

The graft copolymerization of methyl methacrylate (MMA) onto alginate was carried out in aqueous media by initiators of ammonium persulphate under a nitrogen gas atmosphere. Then, the grafting of PMMA chains onto the alginate backbone was confirmed through the study of Fourier transform infrared, X ray diffraction, scanning electron microscopy and 1H nuclear magnetic resonance spectroscopy. At last, a thin and transparent polymethyl methacrylate grafted alginate film with high strength was obtained by the casting method. The effect of MMA/SA ratio or percentage of graft (G% on mechanical properties, thermal stability (thermogravimetric analysis/differential thermogravimetry analyses) color, opacity and water resistance of composite films were characterized. Results showed the homogeneous transparent films could be obtained while G% was lower than 8.64% After being grafted by PMMA, the tensile strength of the films was distinctly improved by 205.3% as well the elongation at break (E% by 41.7% while the MMA/SA (g/g) is 0.3. On the other hand, water resistance, thermal stability and crystallinity of the films were improved, however, the transparency was slightly decreased.
Intelligent system monitoring on large clusters
Venue: DMSN '06
Year: 2006

Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems.  It uses the SNMP protocol to monitor a new data center at Carnegie Mellon. It stores the monitoring data in a MySQL database, allowing visualization of the time series data using a JSP web based frontend interface for system administrators. What sets InteMon apart from other cluster monitoring systems is its ability to automatically analyze correlations in the monitoring data in real time and alert administrators of potential anomalies. It uses efficient, state of the art stream mining methods to report broken correlations among input streams. It also uses these methods to intelligently compress historical data and avoid the need for administrators to configure threshold based monitoring bands.
EARMO: An Energy Aware Refactoring Approach for Mobile Apps
Venue: IEEE Transactions on Software Engineering
Year: 2018

The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy consumption. Therefore, it is important to take into account energy consumption when evolving the design of a mobile app. In this paper, we analyze the impact of eight type of anti patterns on a testbed of 20 android apps extracted from F Droid. We propose EARMO, a novel anti pattern correction approach that accounts for energy consumption when refactoring mobile anti patterns. We evaluate EARMO using three multiobjective search based algorithms. The obtained results show that EARMO can generate refactoring recommendations in less than a minute, and remove a median of 84 percent of anti patterns. Moreover, EARMO extended the battery life of a mobile phone by up to 29 minutes when running in isolation a refactored multimedia app with default settings (no Wi Fi, no location services, and minimum screen brightness) Finally, we conducted a qualitative study with developers of our studied apps, to assess the refactoring recommendations made by EARMO. Developers found 68 percent of refactorings suggested by EARMO to be very relevant.
Surgery for Abdominal Tuberculosis in the Present Era: Experience from a Tertiary Care Center.
Venue: Surgical infections
Year: 2018

The role of surgery in abdominal tuberculosis is being redefined, as many patients will be candidates for endoscopic dilatation rather than open surgery.  A retrospective analysis was done of the surgical procedures performed in patients with abdominal tuberculosis in a large tertiary care center in North India. Details such as clinical presentations, previous history of tuberculosis, any anti tubercular therapy (ATT) Mantoux skin test results, and the surgical procedures and findings were recorded. Short term outcomes also were analyzed.  Thirty five patients (26 male) were included, and the median age at presentation was 24 years (range 12 80 years) Sixteen patients had received prior ATT for abdominal tuberculosis. The indication for surgery was intestinal obstruction, perforation, and bleeding in 23 (66% 10 (29% and 2 (6% respectively. Twenty eight patients had intestinal strictures, with the ileum being the most common site (n 21) Perforation was present in 10 patients, of which six had multiple perforations. Cocoon abdomen was present in four patients, two of whom had associated small bowel stricture. Among 33 patients who underwent bowel resection, 14 had ileo cecal resection/right hemicolectomy. The rest had small bowel resection. Primary anastomosis and stoma creation was performed in 12 (36% and 21 (64% respectively. Post operative intra abdominal collections (p 0.02) and incision dehiscence (p 0.05) were more common in patients having stoma creation.  Surgical intervention is warranted in a subset of patients with abdominal tuberculosis and may be required in patients with recurrent intestinal obstruction or pain, intestinal perforation, or gastrointestinal bleeding.
The Evidence Project risk of bias tool: assessing study rigor for both randomized and non randomized intervention studies
Venue: Systematic Reviews
Year: 2019

BackgroundDifferent tools exist for assessing risk of bias of intervention studies for systematic reviews. We present a tool for assessing risk of bias across both randomized and non randomized study designs. The tool was developed by the Evidence Project, which conducts systematic reviews and meta analyses of behavioral interventions for HIV in low and middle income countries.MethodsWe present the eight items of the tool and describe considerations for each and for the tool as a whole. We then evaluate reliability of the tool by presenting inter rater reliability for 125 selected studies from seven published reviews, calculating a kappa for each individual item and a weighted kappa for the total count of items.ResultsThe tool includes eight items, each of which is rated as being present (yes) or not present (no) and, for some items, not applicable or not reported. The items include (1) cohort, (2) control or comparison group, (3) pre post intervention data, (4) random assignment of participants to the intervention, (5) random selection of participants for assessment, (6) follow up rate of 80% or more, (7) comparison groups equivalent on sociodemographics, and (8) comparison groups equivalent at baseline on outcome measures. Together, items (1) (3) summarize the study design, while the remaining items consider other common elements of study rigor. Inter rater reliability was moderate to substantial for all items, ranging from 0.41 to 0.80 (median k 0.66) Agreement between raters on the total count of items endorsed was also substantial (kw 0.66).ConclusionsStrengths of the tool include its applicability to a range of study designs, from randomized trials to various types of observational and quasi experimental studies. It is relatively easy to use and interpret and can be applied to a range of review topics without adaptation, facilitating comparability across reviews. Limitations include the lack of potentially relevant items measured in other tools and potential threats to validity of some items. To date, the tool has been applied in over 30 reviews. We believe it is a practical option for assessing risk of bias in systematic reviews of interventions that include a range of study designs.
PERBANDINGAN ONOMATOPE DALAM KOMIK ASTERIX ET LES GOTHS DANTINTIN EN AMERIQUE
Year: 2020

Onomatope adalah tiruan bunyi yang dihasilkan oleh benda benda, binatang, maupun manusia yang tak terartikulasi. Onomatope sering ditemukan pada komik, karena hal itu termasuk elemen yang penting pada komik. Penulis melakukan penelitian ini untuk melihat bentuk dan makna leksikal, bentuk dan makan kontekstual serta referen onomatope yang terdapat pada komik Asterix dan Tintin. Penelitian ini menggunakan dua pendekatan, yaitu pendekatan teoritis dengan menggunakan pendekatan semantis pragmatis, dan pedekatan analisis menggunakan pendekatan deskriptif kualitatif. Sumber data yang digunakan adalah komik Asterix et Les Goths dan Tintin en Amerique yang dipilih secara acak dan diduga memiliki beragam data onomatope untuk dibandingkan. Hasil analisis menunjukkan bahwa bentuk dan makna leksikal onomatope pada masing masing komik memiliki ciri khas yang berbeda beda. Bentuk dan makna kontekstual onomatope pada kedua komik yang bersangkutan memiliki persamaan penulisan onomatope tetapi memiliki makna yang berbeda. Pada penelitian ini ditemukan 4 referen onomatope pada komik Asterix. Pada komik Tintin ditemukan 5 referen onomatope.
American and Egyptian culture: a brief comparison
Year: 2010

This article provides a brief comparative overview of American and Egyptian cultures. It uses the seven dimensions of cultural polarity developed by Fons Trompenaars and his colleagues to cover two influential countries in world affairs: the United States, a representative of the developed world; and Egypt, a microcosm of the developing world. While Trompenaars developed these dimensions to enlighten business executives, globalization makes it imperative for us all to develop "cultural competence" in order to successfully navigate our cross cultural interactions.
Long Short Term Memory based Multi Period Price Prediction for Portfolio Management
Venue: MLDM
Year: 2019

In this paper, we present a novel, machine learning based approach for price prediction to portfolio construction in the context of multi period trading. We use a combination of recurrent neural network (RNN) and a long short term memory (LSTM) network for predicting the future prices and to perform constrained optimization on the portfolio update. Evaluation using a series of back test on a number of datasets obtained from Shanghai Stock Exchange (SSE) and National Association of Securities Deal Automated Quotations (NASDAQ) sources show that our proposed approach outperforms the most common conventional portfolio management technique, namely Robust Median Reversion strategy, on a number of different metrics. In back test experiment, our proposed method offers an average of 148% returns over 360 trading periods with 100 stocks, compared to 124% returns using conventional technique, over the same period and number of stocks.
Youth study Croatia 2018/2019
Year: 2019

"FES Youth Studies Southeast Europe 2018/2019" is an international youth research project carried out simultaneously in ten countries in Southeast Europe among which is Croatia. The main objective of the survey has been to identify, describe and analyse attitudes of young people and patterns of behaviour in contemporary society. The data was collected in early 2018 from 1500 respondents aged 14 29. A broad range of issues were addressed, including young peoples' experiences and aspirations in different realms of life, such as education, employment, political participation, family relationships, leisure and use of information and communications technology, but also their values, attitudes and beliefs.
Towards Robust CNN based Object Detection through Augmentation with Synthetic Rain Variations
Venue: 2019 IEEE Intelligent Transportation Systems Conference (ITSC)
Year: 2019

Convolutional Neural Networks (CNNs) achieve high accuracy in vision based object detection tasks. For their usage in the automotive domain, CNNs have to be robust against various kinds of natural distortions caused by different weather conditions while state of the art datasets like KITTI lack these challenging scenarios. Our approach automatically identifies corner cases where CNNs fail and improves their robustness by automated augmentation of the training data with synthetic rain variations including falling rain with brightness reduction as well as raindrops on the windshield. Our method achieves higher performance upon validation against a real rain dataset compared with state of the art data augmentation techniques like Gaussian noise (GN) or Salt and Pepper noise (SPN)
The Business Model: Recent Developments and Future Research
Year: 2011

This article provides a broad and multifaceted review of the received literature on business models in which the authors examine the business model concept through multiple subject matter lenses. The review reveals that scholars do not agree on what a business model is and that the literature is developing largely in silos, according to the phenomena of interest of the respective researchers. However, the authors also found emerging common themes among scholars of business models. Specifically, (1) the business model is emerging as a new unit of analysis; (2) business models emphasize a system level, holistic approach to explaining how firms "do business" (3) firm activities play an important role in the various conceptualizations of business models that have been proposed; and (4) business models seek to explain how value is created, not just how it is captured. These emerging themes could serve as catalysts for a more unified study of business models.
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
Venue: Microscopy research and technique
Year: 2019

Automatic and precise segmentation and classification of tumor area in medical images is still a challenging task in medical research. Most of the conventional neural network based models usefully connected or convolutional neural networks to perform segmentation and classification. In this research, we present deep learning models using long short term memory (LSTM) and convolutional neural networks (ConvNet) for accurate brain tumor delineation from benchmark medical images. The two different models, that is, ConvNet and LSTM networks are trained using the same data set and combined to form an ensemble to improve the results. We used publicly available MICCAI BRATS 2015 brain cancer data set consisting of MRI images of four modalities T1, T2, T1c, and FLAIR. To enhance the quality of input images, multiple combinations of preprocessing methods such as noise removal, histogram equalization, and edge enhancement are formulated and best performer combination is applied. To cope with the class imbalance problem, class weighting is used in proposed models. The trained models are tested on validation data set taken from the same image set and results obtained from each model are reported. The individual score (accuracy) of ConvNet is found 75% whereas for LSTM based network produced 80% and ensemble fusion produced 82.29% accuracy.
Uncertain trajectories in old age and implications for families and for palliative and end of life care policy and practice
Venue: Death studies
Year: 2019

The provision of high quality end of life care for all is high on national (and international) agendas, but areas of unmet needs identified includes elderly people. This article draws on an autoethnographic account of the dying and death of my father to identify and interrogate disjunctions between end of life care policy and commonplace experiences of elderly people who die in a hospital setting. There are significant disjunctions between the "blunt" tools of end of life care policy and the everyday experiences of the dying and death of an elderly patient and an urgent need to improve end of life care for our oldest generations.
Phytobiotics Effects of Pawpaw Carica papaya Leaves and Fluted Pumpkin Telferia ocidentalis Leaves Extracts against Certain Aquatic Pathogens
Year: 2019

Due to an increase in the rate at which microorganisms are becoming resistant to antibiotics, there is need to assess the antimicrobial effects of some medicinal plant extracts in the treatment of fish pathogens, viz. Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, Streptococcus pyogenes, Bacillus substilis, Staphylococcus epidermidis, Salmonella typhi and Aeromonas hydrophila. The antimicrobial activity and inhibition diameter of methanolic and ethanolic extracts of pawpaw and fluted pumpkin leaves were evaluated against eight (8) clinical strains of bacteria isolated from Clarias gariepinus using agar well diffusion method. Minimum inhibitory concentration of leaves extracts phytochemical screening of these plants were determined using standard methods. Data were analyzed using descriptive statistics. The results of the present study showed that the zone of inhibition varies with the species of bacteria and the type of solvent used for extraction. Ethanolic extract has better diameter of zone of inhibition than the methanolic extracts with highest zone of inhibition recorded in Pseudomonas aeruginosa (16.00 0.02 mm) for fluted pumpkin leaves extracts and the lowest in Staphylococcus epidermidis (8.00 0.01 mm) and Aeromonas hydrophilia (8.00 0.00 mm) for fluted pumpkin leaves extracts, respectively. Minimum inhibitory concentration of methanolic and ethanolic extract of pawpaw leaves was 425mg/ml and methanolic and ethanolic extracts of fluted pumpkin leaves was 850mg/ml on the pathogenic bacteria tested. Phytochemical screening of these plants revealed the presence of saponins, flavonoids, tannins, cyanogenic glucosides and amino acid and proteins. The result have shown that methanolic and ethanolic extracts of pawpaw and fluted pumpkin leaves extracts possess antimicrobial functions and serve as a source of antimicrobial agents against fish pathogens.
Chapter 2 Prenatal Experience with the Maternal Voice
Year: 2019

Research studies over the past 40 years have established that the maternal voice is a prominent feature of the prenatal environment, that the fetus responds to it, and that prenatal learning carries over into early postnatal life. The primary aim of the chapter is to describe what is known through research about prenatal exposure to the mother's voice, especially through audition. A second aim is to present a consideration of nonauditory experience such as the vestibular and, possibly, cutaneous sensations that are uniquely linked to auditory stimulation by the maternal voice. A third aim is to raise a question about the necessity of prenatal experience with the acoustic aspects of the maternal voice, given emerging data from deaf infants who receive cochlear implants many months after birth. The chapter concludes by considering implications for the care of hospitalized preterm infants who experience atypical experience with the mother's voice and other sounds. Chapter conclusions are (1) fetal auditory experience with the mother's voice begins around 24 weeks after conception, (2) the maternal voice is potentially a rich source of multimodal stimulation and information, and (3) for favorable postnatal development, the role that is played by very early exposure to the maternal voice is not yet understood. When Elizabeth heard Mary's greeting, the baby leaped in her womb, and Elizabeth was filled with the Holy Spirit. (Luke 1:41, Bible New International Version) The scientific method has confirmed what has been passed down for at least two millennia. Research results converge to show that the fetus begins reacting to maternal and other acoustic signals before birth. Resourceful twentieth century investigators devised procedures to record what sounds could be generated within the womb or be transmitted from the outside. In addition, they learned how to measure both fetal and neonatal responses to particular sounds. Audio recordings in the womb show that a strong maternal voice signal is available to the fetus. Fetal cardiac and motor activity show a reaction to the mother's voice, and there is a good reason to believe that the sound of her voice is retained across the transition into postnatal life. C. Moon Pacific Lutheran University, Department of Psychology, Tacoma, WA, USA e mail: mooncm@plu.edu