nils-herrmann/clean_scirepeval huggingface dataset:
ANALISIS ABC DALAM PERENCANAAN OBAT ANTIBIOTIK DI RSI SITIAISYAH MADIUN
Year: 2018

ABSTRAK Andin Dwi Murni ANALISIS ABC DALAM PERENCANAAN OBAT ANTIBIOTIK DI RSI SITI AISYAH MADIUN 77 halaman 9 tabel 2 gambar lampiran Pada umumnya persediaan obat terdiri dari berbagai jenis yang sangat banyak jumlahnya. Berbagai macam obat memiliki tingkat prioritas yang berbeda. Sehingga untuk mengetahui obat mana yang perlu mendapatprioritas dapat menggunakan analisis ABC. Obat yang sering diresepkan oleh dokter di rumah sakit yaitu obat antibiotik karena obat ini digunakan pada penyakit ringan, sedang dan juga berat yang mempunyai efek menekan atau menghentikan gejala infeksi yang disebabkan oleh bakteri. Di Instalasi Farmasi RSI Siti Aisyah Madiun pemakaian obat antibiotik mencapai 23,70% Oleh karena itu itu perlu dilakukan analisis ABC untuk mengetahui prioritas obat antibiotik agar tidak terjadi stock kurang maupun stock lebih. Penelitian ini menggunakan jenis penelitian non eksperimental dengan analisis secara deskriptif dengan menggunakan data kuantiatif dan kualitatif. Data diperoleh dari data pemakaian obat antibiotik yang ada di Instalasi Farmasi RSI Siti Aisyah Madiun selama bulan September sampai dengan Desember 2017. Penelitian ini dilakukan pada bulan Mei 2018. Dengan menggunakan analisis ABC, hasil penelitian ini menunjukan bahwa dari 31 item obat antibiotik, 1 item merupakan kelompok A (3,22% 1 item merupakan kelompok B (3,22% dan 29 item merupakan kelompok C (93,5% Disarankan Instalasi Farmasi RSI Siti Aisyah Madiun menetapkan metode ABC dalam menetapkan jenis obat yang akan diadakan untuk memberikan prioritas yang berbeda terhadap setiap kelompok obat dan sistem informasi yang mendukung dalam pengadaan obat khususnya di Instalasi Farmasi RSI Siti Aisyah Madiun, hal ini perlu dilakukan untuk menghindari kekosongan obat karena keterlambatan pengiriman oleh distributor.  Perencanaan Obat, Analisis ABC, Rumah Sakit
Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification
Venue: Balt. J. Mod. Comput.
Year: 2017

Today, a largely scalable computing environment provides a possibility of carrying out various data intensive natural language processing and machine learning tasks. One of these is text classification with some issues recently investigated by many data scientists. The authors of this paper investigate Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression classifiers implemented in Apache Spark, i.e. the in memory intensive computing platform. The focus of the paper is on comparing these classifiers by evaluating the classification accuracy, based on the size of training data sets, and the number of n grams. In experiments, short texts for product review data from Amazon were analyzed.
Phrase Based Neural Unsupervised Machine Translation
Venue: EMNLP
Year: 2018

Machine translation systems achieve near human level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sentences, which hinders their applicability to the majority of language pairs. This work investigates how to learn to translate when having access to only large monolingual corpora in each language. We propose two model variants, a neural and a phrase based model. Both versions leverage a careful initialization of the parameters, the denoising effect of language models and automatic generation of parallel data by iterative back translation. These models are significantly better than methods from the literature, while being simpler and having fewer hyper parameters. On the widely used WMT'14 English French and WMT'16 German English benchmarks, our models respectively obtain 28.1 and 25.2 BLEU points without using a single parallel sentence, outperforming the state of the art by more than 11 BLEU points. On low resource languages like English Urdu and English Romanian, our methods achieve even better results than semi supervised and supervised approaches leveraging the paucity of available bitexts. Our code for NMT and PBSMT is publicly available.
Histochemical studies on the oviduct of emu bird (Dromaius novaehollandiae)
Year: 2018

Strong reactivity for PAS was observed in the apical portion and ciliary zone of surface epithelial cells and the cells lining the tubular glands of the mucosal folds of infundibulum, magnum, isthmus, uterus, while in vagina it was limited to basal portion of the lining epithelium. The connective tissue around the glandular units of all the regions of the oviduct except vagina showed strong positive reaction for PAS. The alkaline phosphatase activity was strong in the basement membrane and apical part of lining epithelium of all the regions of the oviduct, submucosal connective tissue and tunica muscularis region of infundibulum, uterus, vagina. Strong reaction for ALP was observed in lamina propria and muscular layer of isthmus, while moderate reaction was noticed in submucosa and muscularis region of magnum. The oil red 'O' staining activity was strong in lining epithelium of the mucosal folds in infundibulum and vagina and mild to moderate in the lining epithelium, lamina propria and submucosal regions of isthmus and glandular units of uterus.
Globalization and Developmental Democracy
Year: 2008

Problems posed to democracy by globalization may be approached with the primary focus on political institutions, or on economics, or on political culture. The problems addressed in this contribution are, first, that the interconnectedness of the world's countries calls for inter country governing structures, which are difficult to achieve on a large and world wide scale and, second, that global forces impede democracy within single countries. Starting from the premise that effectively addressing the second problem is necessary for making major progress in resolving the first, the contribution approaches this problem on the terrain of political culture. To this end, it draws on the theory of "developmental democracy" expounded by C.B. Macpherson to argue that citizens motivated by the counter possessive individualist values of developmental democracy are best placed to resist anti democratic pressures on their respective countries and are also prone to support trans country democratic initiatives and institutions.
Influence of pH and ionic strength on the physical and rheological properties and stability of whey protein stabilized o/w emulsions containing xanthan gum
Venue: Journal of Food Engineering
Year: 2019

The influence of pH (3 7) and ionic strength (0 250 mM NaCl) on the physical and rheological properties and stability of soybean oil in water emulsions containing whey protein isolate (WPI) as an emulsifier and anionic polysaccharide (xanthan gum, XG) as a stabilizer was studied. The influence of ionic strength was found to be dependent on whether the pH was below or above the isoelectric point (pI 4.6) of the emulsion droplets. At pH below the pI, the z potential of the emulsions increased from negative to positive values with increasing ionic strength. The emulsions exhibited more extensive droplet flocculation, more viscous, and more structured, but less creaming stability at low ionic strength than at high ionic strength. At pH above the pI, the z potential of the emulsions was always negative and its magnitude decreased with increasing ionic strength. The emulsions exhibited a slight increase in droplet flocculation, decrease in viscosity, viscoelasticity, and creaming stability with increasing ionic strength. This study could potentially serve for applications in the food industry to design the emulsion based food products with improved physical and rheological properties and stability over a wide range of pH and ionic strength conditions.
Prototyping an Automated Video Surveillance System Using FPGAs
Year: 2016

Because of increasing terrorist activities, the resolution of video cameras and the number of cameras deployed for surveillance are increasing exponentially producing huge amount of video data. Manual analysis of this large volume of video data by human operators for crime scene and forensic analysis is neither reliable nor scalable. This has generated enormous interest in research activities related to automation of video surveillance systems which allows real time automatic extraction and analysis of information from live incoming video streams and enables automatic detection and tracking of targets without human intervention. To meet the real time requirements of automated video surveillance systems, very different technologies and design methodologies have been used in literature. These range from use of General Purpose Processors (GPPs) or special purpose Digital Signal Processors (DSPs) or Graphics Processing Units (GPUs) to Application Specific Integrated Circuits (ASICs) or Applications Specific Instruction Set Processors (ASIPs) or even programmable logic devices like Field Programmable Gate Arrays (FPGAs) FPGAs provide real time performance that is hard to achieve with GPPs/DSPs, limit the extensive design work, time, and cost required for ASICs, and allow algorithmic changes in later stages of system development. Due to these features FPGAs are being increasingly used for prototyping automated video surveillance system quickly. In this paper we present the top level description of a complete automated video surveillance system along with the elaboration of different challenges/issues involved in its design and implementation, a comparative analysis of design methodologies and existing FPGA platforms, complete design flow for prototyping the FPGA based automated video surveillance system, and details of various primary input/output interfaces required for designing smart automated video surveillance systems for future.
Bayesian Estimation of Correlation between Measures of Blood Pressure Indices, Aerobic Capacity and Resting Heart Rate Variability Using Markov Chain Monte Carlo Simulation and 95% High Density Interval in Female School Teachers
Venue: International journal of environmental research and public health
Year: 2020

Several explanations regarding the disparity observed in the literature with regard to heart rate variability (HRV) and its association with performance parameters have been proposed: the time of day when the recording was conducted, the condition (i.e. rest, active, post activity) and the mathematical and physiological relationships that could have influenced the results. A notable observation about early studies is that they all followed the frequentist approach to data analyses. Therefore, in an attempt to explain the disparity observed in the literature, the primary purpose of this study was to estimate the association between measures of HRV indices, aerobic performance parameters and blood pressure indices using the Bayesian estimation of correlation on simulated data using Markov Chain Monte Carlo (MCMC) and the equal probability of the 95% high density interval (95% HDI)  The within subjects with a one group pretest experimental design was chosen to investigate the relationship between baseline measures of HRV (rest; independent variable) myocardial work (rate pressure product (RPP) mean arterial pressure (MAP) and aerobic performance parameters. The study participants were eight local female schoolteachers aged 54.1 6.5 years (mean SD) with a body mass of 70.6 11.5 kg and a height of 164.5 6.5 cm. Their HRV data were analyzed in R package, and the Bayesian estimation of correlation was calculated employing the Bayesian hierarchical model that uses MCMC simulation integrated in the JAGS package.  The Bayesian estimation of correlation using MCMC simulation reproduced and supported the findings reported regarding norms and the within HRV indices associations. The results of the Bayesian estimation showed a possible association (regardless of the strength) between pNN50% and MAP (rho 0.671; 95% HDI 0.928 0.004) MeanRR (ms) and RPP (rho 0.68; 95% HDI 0.064 0.935) SDNN (ms) and RPP (rho 0.672; 95% HDI 0.918 0.001) LF (ms2) and RPP (rho 0.733; 95% HDI 0.935 0.118) and SD2 and RPP (rho 0.692; 95% HDI 0.939 0.055)  The Bayesian estimation of correlation with 95% HDI on MCMC simulated data is a new technique for data analysis in sport science and seems to provide a more robust approach to allocating credibility through a meaningful mathematical model. However, the 95% HDI found in this study, accompanied by the theoretical explanations regarding the dynamics between the parasympathetic nervous system and the sympathetic nervous system in relation to different recording conditions (supine, reactivation, rest) recording systems, time of day (morning, evening, sleep etc. and age of participants, suggests that the association between measures of HRV indices and aerobic performance parameters has yet to be explicated.
Analysis of status and countermeasures of cancer incidence and mortality in China
Venue: Science China Life Sciences
Year: 2018

Cancer is the leading cause of human deaths in the world and produces serious economic burdens. On September 12, 2018, the academic journal A Cancer Journal for Clinicians published an article about the latest statistics of cancers worldwide, which provided a status report on the global burden of 36 cancers in 185 countries worldwide. Cancer has also become a serious public health problem in China and caused more and more attention of the government and people in recent years. This review analyzes the incidence, mortality and prevalent trend of cancers in China, discusses the reasons behind this status, and reviews the potential countermeasures for cancer prevention and control in China.
A Framework for Developing Pharmacotherapy for Agitation in Alzheimer's disease: Recommendations of the ISCTM Working Group
Venue: The Journal of Prevention of Alzheimer's Disease
Year: 2020

1. Axsome Therapeutics Inc. New York, NY, USA; 2. Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, MO, USA; 3. Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA; 4. Pfizer Inc. Collegeville, PA, USA; 5. Leoben Research srl, Rome, Italy; 6. Avanir Pharmaceuticals Inc. Aliso Viejo, CA, USA; 7. Follow the Molecule LLC and Alliance for Early Phase, Marina del Rey, CA, USA; 8. H. Lundbeck A/S, Valby, Denmark; 9. moebius consult GmbH, Baar, Switzerland; 10. California Neuroscience Research Medical Group Inc./CTSdatabase LLC. Sherman Oaks, CA, USA; 11. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Group 3 innate lymphoid cells inhibit T cell mediated intestinal inflammation through aryl hydrocarbon receptor signaling and regulation of microflora.
Venue: Immunity
Year: 2013

Aryl hydrocarbon receptor (Ahr) is crucial for the maintenance and function of group 3 innate lymphoid cells (ILCs) which are important in gut immunity. Because Ahr promotes T helper 17 (Th17) cell differentiation in vitro, it is reasonable to expect that Ahr would enhance Th17 cells in vivo. Instead, we show that Ahr deficiency caused increased intestinal Th17 cells, raising the possibility that group 3 ILCs could negatively regulate Th17 cells. Reduced innate interleukin 22 (IL 22) in Ahr deficient mice allowed expansion of commensal segmented filamentous bacteria (SFB) known to promote Th17 cells. Compared to Rorc()Ahr( mice, Rorc(gfp/)Ahr( mice had further reduced group 3 ILCs and were prone to spontaneous colitis with increased SFB and Th17 cells. Innate expression of Ahr played a protective role in T cell mediated experimental colitis by suppressing pathogenic Th17 cells. Our data reveal an intricate balance between ILCs and Th17 cells regulated by Ahr and commensal flora.
An Efficient, Robust, and Scalable Approach for Analyzing Interacting Android Apps
Venue: 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
Year: 2017

When multiple apps on an Android platform interact, faults and security vulnerabilities can occur. Software engineers need to be able to analyze interacting apps to detect such problems. Current approaches for performing such analyses, however, do not scale to the numbers of apps that may need to be considered, and thus, are impractical for application to real world scenarios. In this paper, we introduce JITANA, a program analysis framework designed to analyze multiple Android apps simultaneously. By using a classloader based approach instead of a compiler based approach such as SOOT, JITANA is able to simultaneously analyze large numbers of interacting apps, perform on demand analysis of large libraries, and effectively analyze dynamically generated code. Empirical studies of JITANA show that it is substantially more efficient than a state of the art approach, and that it can effectively and efficiently analyze complex apps including Facebook, Pokemon Go, and Pandora that the state of the art approach cannot handle.
Motivating Power System Protection Course Students by Practical and Computer Based Activities
Venue: IEEE Transactions on Education
Year: 2016

This paper presents several methods for motivating students taking a power system protection (PSP) course. The paper reviews the laboratory activities developed for the PSP course at Curtin University, Australia; these methods are applicable and can be used for PSP course instruction at any institution. These activities were developed to improve the learning experience of the electrical engineering undergraduate and postgraduate students enrolled in this course. Initially, the PSP course at Curtin University consisted of lectures and tutorials accompanied by two sessions of software based simulations and one session of laboratory demonstration. To motivate the students, several computer based simulations and practical laboratory experiments were developed. PSCAD and ETAP power system analysis software tools are introduced and used to demonstrate the performance and coordination of different protection relays from steady state and dynamic points of view. Also, a practical setup composed of a LabVolt power system simulator and industrial relays is used to carry out several practical experiments. The experiments help students observe the performance of protection systems for transformers and induction motors during faults and abnormal operating conditions. Finally, the concept of relay testing and commissioning is introduced by relay standalone experiments using a secondary injection relay test set. The results of these activities were evaluated according to the students' satisfaction, comments, total scores, and interest in PSP.
Development and validation of the Emergency Department Assessment of Chest pain Score and 2 h accelerated diagnostic protocol
Venue: Emergency medicine Australasia EMA
Year: 2014

Risk scores and accelerated diagnostic protocols can identify chest pain patients with low risk of major adverse cardiac event who could be discharged early from the ED, saving time and costs. We aimed to derive and validate a chest pain score and accelerated diagnostic protocol (ADP) that could safely increase the proportion of patients suitable for early discharge.
Dimensiones para la evaluacion del quehacer docente desde la perspectiva del estudiante: Una aplicacion del Analisis Factorial.
Year: 2016

La presente investigacion propone un modelo que integra las dimensiones para la evaluacion del quehacer docente desde la perspectiva del estudiante. El instrumento usado para la recoleccion de los datos consta de 38 preguntas relacionadas con aspectos que los alumnos consideran como calidad en el quehacer del docente. Una vez validado el instrumento se aplico a una muestra de 250 alumnos del Instituto de Ingenieria y Tecnologia de la Universidad Autonoma de Ciudad Juarez. Los datos obtenidos se analizaron usando la tecnica estadistica conocida como analisis factorial y se obtuvieron siete dimensiones que explican el 70.891% de la varianza total de la evaluacion de la calidad del docente.
HoldemML: A framework to generate No Limit Hold'em Poker agents from human player strategies
Venue: 6th Iberian Conference on Information Systems and Technologies (CISTI 2011)
Year: 2011

Developing computer programs that play Poker at human level is considered to be challenge to the A.I. research community, due to its incomplete information and stochastic nature. Due to these characteristics of the game, a competitive agent must manage luck and use opponent modeling to be successful at short term and therefore be profitable. In this paper we propose the creation of No Limit Hold'em Poker agents by copying strategies of the best human players, by analyzing past games between them. To accomplish this goal, first we determine the best players on a set of game logs by determining which ones have higher winning expectation. Next, we define a classification problem to represent the player strategy, by associating a game state with the performed action. To validate and test the defined player model, the HoldemML framework was created. This framework generates agents by classifying the data present on the game logs with the goal to copy the best human player tactics. The created agents approximately follow the tactics from the counterpart human player, thus validating the defined player model. However, this approach proved to be insufficient to create a competitive agent, since the generated strategies were static, which means that they are easy prey to opponents that can perform opponent modeling. This issue can be solved by combining multiple tactics from different players. This way, the agent switches the tactic from time to time, using a simple heuristic, in order to confuse the opponent modeling mechanisms.
Nitrogen uptake and its efficiency in triticale (Triticosecale Witt. field beans (Vicia faba var. minor L. intercrop
Year: 2018

A field experiment of split plot design was conducted in 1999 and 2000 on light soil to study the effect of different levels of mineral nitrogen fertilization: 0, 25 and 50 kg N/ha on dry maer yield, N uptake and N efficiency indices of spring triticale and field beans grown in pure stands and in intercrop. The intercrop was composed using half of the seeding densities from pure stands. Intercropping increased protein content in grain and plant biomass of triticale irrespective of N input. Increasing N rate from 0 to 25 kg/ha increased plant biomass yield of triticale and intercrop. Nitrogen uptake with grain and biomass of intercrop was significantly higher than by sole crops showing partial complementarity in N use by intercropped species despite strong dominance of triticale over field beans. The higher the N fertilizer rate, the lower was the gain from intercropping mainly due to increased suppression of field beans by triticale. Agronomic efficiency was similar for triticale and intercrop but it was significantly smaller for field beans indicating there were other limited resources hampering growth of the legume.