nils-herrmann/clean_scirepeval huggingface dataset:
(The Motorcycle Engine Performance Uses A Mixture Of Pertalite And Pyrolytic Oil from The Plastic Pyrolysis Process Using CaO)
Year: 2019

This study aims to experimentally test the effect of using a mixture of pyrolysis oil and Pertalite on torque, power and fuel consumption of the 110cc Honda Beat gasoline motor. Pyrolysis oil is mixed with pertalite with the percentage volume of pyrolysis oil: 0% 5% 10% 20% and 30% The method used in this study is to use the dynotest tool kit and fuel consumption test. The parameters measured are the value of torque, power and fuel consumption. The results showed that pure pertalite produced the highest torque and power compared to variations of the pertalite mixture with other pyrolysis oils. This is possible because the pertalite viscosity value is lower compared to other variations. The lowest fuel consumption is found in 70% volume of pertalite and 30% volume of pyrolysis oil which results in fuel consumption of 41.66 km I.
EVALUATION OF ANTIOXIDANT ACTIVITY OF SOME TROPICAL FRUIT PEEL EXTRACTS: EXTRACTION CONDITIONS OPTIMIZATION OF RAMBUTAN PEEL EXTRACT
Year: 2015

This work reports a study on evaluation of antioxidant activity of some tropical fruit peel extracts and optimization of extraction conditions for recovery of antioxidants from the selected fruit peel. Due to the extensively growing of many fruit processing industries, the fruit peels are often removed as a waste residues. Hence, the research has shift to focus on fruit residues as potential source of natural antioxidant replacing the synthetic one which may poses several side effects. Extraction was done on selected tropical fruits peels including rambutan, banana, mangosteen, logan to evaluate their antioxidant activity. Rambutan with ethanol extract possess highest antioxidant activity which is 77.21 0.17 as compared to longan (73.24 0.11% mangosteen (46.97 0.29) and banana (41.65 0.22) for ethanolic extraction. Thus, rambutan was chosen to be continued with screening and optimization process. Single factor experiment using the one factor at a time (OFAT) method was done to study the effect of solvent to solid ratio (300:10 to 300:50 mL/g) extraction temperature (78 to 85 oC) and extraction time (120 to 360 minutes) Next, central composite rotatable design (CCRD) coupled with Response Surface Methodology (RSM) was applied to optimize the extraction conditions on the antioxidant activity of rambutan peels. From the result, the highest antioxidant activity of about 96.12 0.013 was found at optimum conditions of solvent to solid ratio, 300:33 (mL/g) extraction temperature, 81oC and extraction time, 262.95 minutes. Based on statistical analysis, the extraction temperature was the most significant (p<0.0001) parameter condition affecting antioxidant activity and R2 value of 0.9810 denoted that the model developed was adequate in optimizing the extraction conditions of antioxidant properties from rambutan peels.
<She Diao Ying Xiong Chuan 3D> You Xi Ying Shi Chan Pin He Zuo Qi Dong
Year: 2015

Jin Ri ,Wan Mei Shi Jie (Bei Jing )Wang Luo Ji Zhu You Xian Gong Si (Yi Xia Jian Cheng Wan Mei Shi Jie )Lian He Hua Ce Ying Shi Gong Si (Yi Xia Jian Cheng Hua Ce Ying Shi )Zai Jing Zheng Shi Zhao Kai "<She Diao Ying Xiong Chuan IPYing You Lian Dong Xin Wen Fa Bu Hui ",Ci Ci Fa Bu Hui Yi "Ying You Lian Dong ,Kua Jie He Zuo "Wei Zhu Ti ,Di Yi Ci Dui Wai Zheng Shi Gong Bu <She Diao Ying Xiong Chuan 3D> Shou You Yu <She Diao Ying Xiong Chuan Ying Shi Ju Liang Ge Xiang Mu Jian Jiang Kai Zhan Zhan Lue He Zuo Ji Hua .Wan Mei Shi Jie Dong Shi Chang Chi Yu Feng Xian Sheng Zhang Yun Fan Xian Sheng Zhu Ming Dao Yan Guo Jing Yu Xian Sheng Jiang Jia Jun Xian Sheng Zhu Ming Bian Ju Chen Man Ling Nu Shi Zhu Ming  Yu Liao Ci Ci Fa Bu
Behavior of statistics for genetic association in a genome wide scan context
Year: 2015

Genome wide association studies are used to detect association between genetic variants and diseases. Hundreds of thousands to millions of SNPs are tested simultaneously. The results of the study often focus on the list of SNPs ordered according to the statistics rather than on certain p value cutoffs. Therefore, it is important to investigate the behavior of the extreme values of the statistics rather than the behavior of the expected values. "Detection probability" and "proportion positive" have been proposed to measure the success of a genomic study when ranked lists are the primary outcome. In this dissertation, we first focused on the comparison of statistics for X chromosome association with rare alleles. The regression with male coded as (0, 2) or adjusting for sex as a covariate is recommended. Then we evaluated statistics for detecting genetic association in the presence of an environmental covariate effect. Selecting the best statistics depends on the purpose of the study and how a researcher selects disease associated SNPs. Studies whose goal is to find significant signal at the whole genome level should focus on which statistic can provide the highest power. Exploratory studies that look for a list of top ranking SNPs which will be further studied in the future should focus on which statistic can provide the highest detection probability. Adjusting for the environmental covariate effect or interaction effect may reduce the power, but it can help with producing more accurate ranked lists. This work will improve the statistical power of genetic association studies, which will allow us to gain a better understanding of disease processes and ultimately design better treatments and public health interventions.
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
Venue: ArXiv
Year: 2021

Automated audio captioning (AAC) is the task of automatically creating textual descriptions (i.e. captions) for the contents of a general audio signal. Most AAC methods are using existing datasets to optimize and/or evaluate upon. Given the limited information held by the AAC datasets, it is very likely that AAC methods learn only the information contained in the utilized datasets. In this paper we present a first approach for continuously adapting an AAC method to new information, using a continual learning method. In our scenario, a pre optimized AAC method is used for some unseen general audio signals and can update its parameters in order to adapt to the new information, given a new reference caption. We evaluate our method using a freely available, pre optimized AAC method and two freely available AAC datasets. We compare our proposed method with three scenarios, two of training on one of the datasets and evaluating on the other and a third of training on one dataset and fine tuning on the other. Obtained results show that our method achieves a good balance between distilling new knowledge and not forgetting the previous one.
Wristwatch development based on Kansei engineering
Venue: 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)
Year: 2018

Customer is the main goal for new product development projects, so the success in understanding and implementing customer needs will ensure to product success. Affective product design aims to incorporate customer's affective needs into design variables of a new product so as to optimize customers' affective satisfaction. This paper tries to show how to discover customer's affective needs and develop product specification through Kansei Engineering methodology through identifying wristwatch specification based on customer need. To reach the purpose, focus group discussion was run to identify product attributes and parameters. Five Kansei words and their combinations were analyzed. Kansei words applied were strong, fit size, comfortable, safe, and multifunction. Semantic differential was applied to explore customer needs. Then, conjoint analysis was applied to analyze relation between customer needs and design attributes and parameters. A database was applied to simplify the customers to choose desired wristwatch specification.
Projection based model reduction: Formulations for physics based machine learning
Year: 2019

This paper considers the creation of parametric surrogate models for applications in science and engineering where the goal is to predict high dimensional output quantities of interest, such as pressure, temperature and strain fields. The proposed methodology develops a low dimensional parametrization of these quantities of interest using the proper orthogonal decomposition (POD) and combines this parametrization with machine learning methods to learn the map between the input parameters and the POD expansion coefficients. The use of particular solutions in the POD expansion provides a way to embed physical constraints, such as boundary conditions and other features of the solution that must be preserved. The relative costs and effectiveness of four different machine learning techniques neural networks, multivariate polynomial regression, k nearest neighbors and decision trees are explored through two engineering examples. The first example considers prediction of the pressure field around an airfoil, while the second considers prediction of the strain field over a damaged composite panel. The case studies demonstrate the importance of embedding physical constraints within learned models, and also highlight the important point that the amount of model training data available in an engineering setting is often much less than it is in other machine learning applications, making it essential to incorporate knowledge from physical models.
Characterization of fly ash cement paste and molecular structure in the presence of seawater by 27Al and 29Si MAS NMR spectroscopy
Year: 2020

Cement based materials commonly suffer attacking from detrimental ions in marine environment and the degradation mechanism for material is complicated. To study the effect of curing stage on degradation process, the microstructure and molecular structure of fly ash and Portland cement paste curing at 1 day, 7 day, 14 day and 28 day with w/c ratio of 0.35 in seawater solutions for 90 days are investigated by 27Al and 29Si magic angle spinning (MAS) NMR spectroscopy, XRD and SEM tests. It reveals that more Friedal salt and Aft hydration phase are formed when the samples curing at early stage (1 day) are immersed in the sea water due to unhydrated and porous microstructure subject to sulfate and chloride ions. Based on the 29Si spectrum analysis, the increasing of mean silicate chain length of C S H and the degrading for AlO4/SiO4 ratio demonstrate that detrimental ions in seawater lead to the de aluminization and polymerization for the cement hydrate. Furthermore, 27Al NMR test observes phase transformation from Al[4] in C S H gel to Al[6] Aft phase for samples in marine environment. Prolonging the curing age and incorporating fly ash in cement paste can significantly help resist the degradation for aluminate silicate chains in C S H gel and aluminate phase transformation. More importantly, the hydration degrees for cement and fly ash computed separately illustrate that the aggressive ions in seawater act as activating role on fly ash, contributing to the secondary hydration of fly ash cement paste. The activation effect is more pronounced for samples suffer to marine environment especially in the very early curing age, which significantly help resist aggressive ions as the cement paste in low hydration degree. Hopefully, this study can provide valuable insights on design of durable and sustainable marine concrete.
Vecu des aidants familiaux prodiguant des soins a leurs parents atteints d'un accident vasculaire cerebral au Cameroun analyse interpretative phenomenologique
Year: 2020

Introduction la survenue brutale d'un Accident vasculaire cerebral (AVC) chez un parent impose un bouleversement dans sa vie, au sein de sa famille et son entourage.Contexte l'absence d'interventions medico sociales et de soutien de professionnels de la sante aupres des parents, oblige les aidants familiaux a leur prodiguer des soins. L'objectif de cette etude est de decrire et comprendre le vecu de l'experience subjective des aidants familiaux de parents atteints d'AVC dans un tel contexte.Methode se basant sur la methode clinique et l'analyse interpretative phenomenologique, huit entretiens cliniques ont ete realises a domicile aupres de quatre aidants familiaux issus de deux familles distinctes, tous recrutes a l'unite de neurologie du service de medecine interne de l'hopital militaire de Yaounde.Resultats les aidants familiaux vivent une experience penible chargee d'affects douloureux et un epuisement psychologique tout au long du processus d'aide au parent. Ils sont contraints a un assujettissement par des alliances inconscientes a travers la qualite du lien au parent. Le resserrement des liens permet d'eviter le risque d'effondrement psychique et relationnel.Conclusion il y a necessite d'envisager une intervention psychosociale axee sur une bonne pratique professionnelle visant a soutenir et renforcer les capacites des aidants familiaux.
Learning Approximate and Exact Numeral Systems via Reinforcement Learning
Venue: ArXiv
Year: 2021

Recent work (Xu et al. 2020) has suggested that numeral systems in different languages are shaped by a functional need for efficient communication in an information theoretic sense. Here we take a learning theoretic approach and show how efficient communication emerges via reinforcement learning. In our framework, two artificial agents play a Lewis signaling game where the goal is to convey a numeral concept. The agents gradually learn to communicate using reinforcement learning and the resulting numeral systems are shown to be efficient in the information theoretic framework of Regier et al. (2015) Gibson et al. (2017) They are also shown to be similar to human numeral systems of same type. Our results thus provide a mechanistic explanation via reinforcement learning of the recent results in Xu et al. (2020) and can potentially be generalized to other semantic domains.
The Effect of Transit Oriented Development Siteson Residential Home Pricing
Year: 2017

The Effect of Transit Oriented Development Sites on Residential Home Pricing Bradley S. Randall School of Technology, BYU Master of Science For a number of years residential and commercial development has grown surrounding railways stations in many cities across the United States. One of the trends that has occurred in a number of cities relates to positive property value correlations between real estate values near transit stations and transit oriented development (TOD) sites as compared to their counterparts not located near a railway station or freeway access. Many cities have noted that homeowners are willing to pay more to be near a TOD site and being near a site can represent a statistically significant factor in determining where to purchase a property. In suburban markets with newer developments, the data was not as readily available. While the suburban area along the main population corridor of Northern Utah called The Wasatch Front has seen a lot of growth in TOD development, there really was not sufficient data on residential pricing to see if the same types of trends that held true in other areas of the United States held true along the Wasatch Front. This research analyzed multiple cities in multiple counties along the Wasatch Front that all featured development surrounding a TOD site. The purpose of the research was to determine how the price per square foot during a period of study in 2016 was higher for properties located near TOD sites compared to properties nearby freeway entrances or isolated from both. Three types of properties were analyzed in the study: Single family homes, townhouses and condominiums. Another purpose of this study was to determine which factors were the most statistically significant in the purchases made by homebuyers during the period of study. Multiple statistical models were tested in order to determine the most significant variables in the study and just over eight hundred properties were tested. The research indicated in developing rapid transit cities like Salt Lake City and suburban areas, the value of car free living and resident dense cities is still emerging. Statistical results indicated certain factors and trends that can be helpful not only for local planners and developers but also to further the body of research on the development of these transit oriented development sites in suburban areas around the United States.
Pengaruh oil treatment terhadap sifat fisika dan kimia minyak pelumas bekas serta pengaruhnya pada kebisingan sepeda motor Ilham Satrio Utomo
Year: 2019

Utomo, Ilham Satrio. 2014. Pengaruh Oil Treatment terhadap Sifat Fisika dan Kimia Minyak Pelumas Bekas serta pada Kebisingan Sepeda Motor. Skripsi, Jurusan Teknik Mesin, Fakultas Teknik, Universitas Negeri Malang.  (I) Dra. Widiyanti, M. Pd. (II) Drs. Sumarli, M. Pd.  Minyak Pelumas Bekas, Oil Treatment, Sifat Fisika, Sifat Kimia, Kebisingan Sepeda Motor. Pemakaian kendaraan bermotor saat ini semakin meningkat jumlahnya. Dengan meningkatnya kendaraan bermotor, akan dibutuhkan minyak pelumas yang begitu banyak. Minyak pelumas berasal dari pengolahan minyak bumi dan tidak dapat diperbaharui, sehingga dibutuhkan perbaikan pada kualitas minyak pelumas bekas. Penelitian ini bertujuan untuk mengetahui sifat fisika dan kimia serta untuk mengetahui perbedaan kebisingan mesin sepeda motor, antara minyak pelumas baru dan minyak pelumas bekas yang ditreatment dengan oil treatment. Minyak pelumas bekas yang ditreatment dengan oil treatment akan dibandingankan dengan minyak pelumas baru. Minyak pelumas akan dilihat sifat fisika (colour) sifat kimia (viscositas pada suhu 40 oC dan 100 oC, titik nyala (flash point) densitas) serta akan diuji perbedaan kebisingannya. Instrumen yang digunakan pada penelitian ini berupa lembar obsevasi untuk mencatat hasil pengukuran, tool set, flash point tester, thermometer, viskometer, sound level meter, aerometer, dan mesin yang digunakan dalam penelitian ini adalah sepeda motor Yamaha Jupiter Z 110 cc. Sedangkan bahan yang digunakan adalah minyak pelumas bekas yang ditreatment dengan oil teratment dengan jumlah penambahan sebanyak 30 ml untuk 1 liter minyak pelumas. Penelitian ini menggunakan dua rancangan penelitian sekaligus, yakni penelitian kualitatif kuantitatif dengan desain penelitian deskriptif eksperimen. Jenis penelitian eksperimennya adalah true eksperimen. Hasil dari penelitian ini adalah sebagai berikut (1) Sifat kimia (colour) dari minyak pelumas bekas masih terdapat banyak residu. Oil treatment ini belum mampu memisahkan residu yang terdapat pada minyak pelumas bekas. (2) Pada pengujian sifat fisika (viscositas, flash point, densitas) terdapat perbedaan antara minyak pelumas bekas yang ditreatment dengan minyak pelumas baru. Minyak pelumas bekas yang ditreatment dengan oil treatment, hasilnya hampir mendekati minyak pelumas baru. (3) Tidak terdapat perbedaan kebisingan mesin antara minyak pelumas bekas yang ditreatment dengan oil treatment dengan minyak pelumas baru, nilai kebisinganya hampir mendekati minyak pelumas baru. Nilai rata rata kebisingan minyak pelumas bekas yang ditreatment dengan oil treatment 85,66 dB, sedangkan minyak pelumas baru memiliki kebisingan 85,20 dB. Bagi para pengguna oil treatment, penelitian ini masih belum bisa memisahkan residu yang terdapat pada minyak pelumas bekas. Oleh karena itu, sebelum dilakukan treatment pada minyak pelumas bekas disarankan untuk menyaring minyak pelumas bekas terlebih dahulu.
Small mural khachkars in medieval Armenian communities of Crimea, Galicia, Podolia, and Bessarabia
Year: 2016

Simultaneously with the category of monumental khachkars, Armenia has elaborated, since the beginning of the history of this art the second half of the 9th century, a "minor" type of small, mural khachkars. This type became particularly characteristic for diaspora communities. Among them, one of the most active centers where such small plates with a cross tree of life were produced was Crimea, especially, in the 14th 16th c. the town of Caffa (Theodossia) Crimean mural khachkars, often made of marble, have their specific features, and exerted a marked influence on the production of other Armenian communities of the region, notably in Galicia, Podolia, and Bessarabia.
A proposed Framework for Software Process Improvement: Extending CMMI DEV model Using Six Sigma and Quality Function Deployment Techniques
Year: 2018

Software Process Improvement (SPI) has become the key to the survival of many software development organizations. Many international SPI models/standards, such as; ISO, Capability Maturity Model Integrated (CMMI) SPICE, Trillium..etc, are developed for SPI. Numerous software development companies have chosen to utilize CMMI to access and improve their current software development process, because CMMI is one of the most widespread and acknowledged SPI models. Unfortunately, CMMI does not provide a systematic way of determining how to improve the process. That is, CMMI defines "what to do" but leaving "how to do it" to organizations. Thus, it is desirable to have a means to guide the companies in the development of action plans and appropriate tools for SPI. These actions should be based on the software process requirements from relevant sources. Therefore, this research proposes a SPI CMMI framework that provides an overall process improvement strategy to be implemented in any software development organization more effectively and comprehensively. The proposed model based on applying assessment and improvement procedures through adopting the CMMI DEV 1.3 model using six sigma approach and Quality Function Deployment (QFD) technique.
Mode water ventilation and subtropical countercurrent over the North Pacific in CMIP5 simulations and future projections
Year: 2012

Seventeen coupled general circulation models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are analyzed to assess the dynamics and variability of the North Pacific Subtropical Countercurrent (STCC) Consistent with observations, the STCC is anchored by mode water to the north. For the present climate, the STCC tends to be stronger in models than in observations because of too strong a low potential vorticity signature of mode water. There are significant variations in mode water simulation among models, i.e. in volume and core layer density. The northeast slanted bands of sea surface height (SSH) anomalies associated with the STCC variability are caused by variability in mode water among models and the Hawaii islands are represented in some models, where the island induced wind curls drive the Hawaiian Lee Countercurrent (HLCC) located to the south of STCC. Projected future changes in STCC and mode water under the Representative Concentration Pathways (RCP) 4.5 scenario are also investigated. By combining the historical and RCP 4.5 runs, an empirical orthogonal function analysis for SSH over the central subtropical gyre (160degE 140degW, 15deg 30degN) is performed. The dominant mode of SSH change in 17 CMIP5 models is characterized by the weakening of the STCC because of the reduced formation of mode water. The weakened mode water is closely related to the increased stratification of the upper ocean, the latter being one of the most robust changes as climate warms. Thus the weakened STCC and mode water are common to CMIP5 future climate projections.