nils-herrmann/clean_scirepeval huggingface dataset:
Automatic exploratory performance testing using a discriminator neural network
Venue: 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Year: 2020

We present a novel exploratory performance testing algorithm that uses supervised learning to optimize the test suite generation process. The goal of the proposed approach is to generate test suites that contain a large number of positive tests, revealing performance defects or other issues of interest in the system under test. The key idea is to use a deep neural network to predict which test could be positive and to train this network online during the test generation process, designing and executing the test suite simultaneously. The proposed algorithm assumes that the system under test is stateless and the outcome of the tests is deterministic. Also, only integer and floating point inputs are supported. Otherwise, the approach is completely automatic and it does not require any prior knowledge about the internals of the system under test. It can also be used effectively in a continuous integration setting where small variations of a system are tested successively. We evaluate our algorithm using two example problems: searching for bottlenecks in a web service and searching for efficient hardware configurations in a single board computer. In both examples, the presented algorithm performed several times better than a random test generator and significantly better compared to our previously published algorithm, producing test suites with a large proportion of positive tests.
Green synthesis of silvernano particles from Artemisia pallens, Wall. ex DC. and its cytotoxicity activity as an anti mycobacterial agent
Year: 2017

In present investigation, the synthesis of silver nanoparticles from of Artemisia pallens, were studied for Antimycobacterial activity against three species as Mycobacterium tuberculosis (MTCC 300) M.pheli (MTCC 1724) M.avim (MTCC 1723) The Anti mycobacterial activity of silver nanoparticles from A. pallens was evaluated by agar cup well plate method using different dilutions such as 10 mg/ml, 20 mg/ml and 30 mg/ml. These extracts showed maximum activity at 30mg/ml. Among the strains, the maximum zone of inhibition was noted against Mycobacterium tuberculosis (32.5mm) and Mycobacterium spegmatis (29.4mm) and Mycobacterium pheli (29.4mm) respectively. The Minimum inhibitory concentration (MIC) of silver nanoparticles for A.pallens showed against two species of Mycobacterium like Mycobacterium tuberculosis as (230 mg /mL and Mycobacterium pheli (230 mg /mL) .These results showed that the silver nanoparticles from A.pallens is an effective Anti mycobacterial agent. The cytoxicity was also done by hemolytic assay Key words: Artemisia pallens Wall. ex DC (AP) AgNPs, Anti mycobacterial, MIC, Hemolytic assay
Design and Development of a TEG Cogenerator Device Integrated into a Self Standing Natural Combustion Gas Stove
Venue: Journal of Electronic Materials
Year: 2014

Heating by gas combustion, by use of different types of systems and plants, is widespread in residential and industrial environments. One example is the gas stove, the heat radiating unit of which operates autonomously with a local gas feed and, possibly, electricity for an optional fan convector. A thermoelectric generator (TEG) can be integrated within this type of autonomous gas heater for local production of electric power, to support electrical auxiliaries, where desired, without the need for any connection to the electricity grid. This approach can lead to easier installation and operation and increases overall efficiency. A new prototype of an autonomous gas heater has been implemented by integration of a TEG device of simple and robust design, easily operated by the end user. A small amount of heat is withdrawn and converted into electricity by the TEG. This enables self sustaining operation and, moreover, powers new ancillary functions (e.g. fan convector) without extra electrical requirements and no need for an electrical connection.
Ultrafast laser patterning of OLED stacks on a multilayered flexible substrate for solid state lighting
Venue: CLEO/Europe EQEC 2009 European Conference on Lasers and Electro Optics and the European Quantum Electronics Conference
Year: 2009

Rapid developments in the organic LED technology on flexible foils promise to deliver thin, lightweight and power efficient light sources for intelligent lighting applications  Laser patterning of OLEDs on glass for displays or other plastic electronics applications has been widely reported  However, fewer reports have discussed patterning OLEDs on multilayer barrier stacks on flexible substrates, which presents a novel engineering challenge. We discuss here recent experimental results from a detailed laser ablation study using different wavelength (1064, 532 and 355nm) ultrafast lasers (ps and fs) for this application. We aim to establish an industrially robust laser process window for large area selective OLED patterning. This should involve in separate steps the complete removal of (i) a 130nm thick ITO anode track on barrier layers  and (ii) a 100nm thick Al cathode patterning on 180nm thick PEDOT:PSS and LEP active organic layers while preserving the integrity of all other underneath stack layers. The results reveal that picosecond and femtosecond lasers facilitate uniquely roll to roll OLED manufacturing by providing ultra fine ablation resolution. Damage thresholds, process quality and process speed limitations will be discussed. Careful examination with optical profilometry and SEM reveals that the choice of laser pulse duration is more important than wavelength for a given layer thickness. A photomechanical stress induced ablation mechanism [4] is believed to be key for this process and debris free, low temperature patterning can be achieved with demonstrably no detrimental effects to the OLED performance.
The role of autonomy in creativity development in fundamental courses in architecture education process
Year: 2014

72 In architecture education, it is important to guide the learner's thought, but not induce or dictate a particular line. In this regard, learners should be helped to be able to fly their mind in order to foster their creativity. Fundamental courses in architecture are for improving creative thinking skills of students in terms of context and practice. Student's participating actively to these courses, would end to a motivation which could be an introduction to creativity. The literature review of the research shows that different approaches in architectural education and learning can be articulated which emphasize on autonomy as pivot point of creativity in education.  What is the relationship between creativity and autonomy in architectural education and learning? And 2 How the interaction between creativity and autonomy emerges in fundamental courses in architecture education? Research method of the paper is participant observation research method has been adopted for the research. Descriptive analytical techniques adopted to enhance the efficiency of models.  autonomy, creativity, fundamental courses, architecture education Normal 0 21 false false false TR X NONE X NONE Style Definitions table.MsoNormalTable {mso style name:"Table Normal" mso tstyle rowband size:0; mso tstyle colband size:0; mso style noshow:yes; mso style priority:99; mso style parent:" mso padding alt:0cm 5.4pt 0cm 5.4pt; mso para margin:0cm; mso para margin bottom:.0001pt; mso pagination:widow orphan; font size:10.0pt; font family:"Cambria""serif"
INOVASI TERHADAP PENGAJARAN DAN PEMBELAJARAN BAGI PENERAPAN KEMAHIRAN INSANIAH DALAM MATA KULIAH TAMADUN ISLAM DAN ASIA (TITAS) DI UNIVERSITI MALAYA KUALA LUMPUR MALAYSIA
Year: 2020

Penumpuan berlebihan kepada akademik dan suasana pembelajaran yang cenderung mengukur kecemerlangan berdasarkan prestasi dalam peperiksaan didapati tidak memberi kelebihan kepada mahasiswa dalam memperolehi kemahiran insaniah melalui proses pengajaran dan pembelajaran (P&P) sesuatu mata kuliah. Kajian ini merupakan satu kajian awal dan sebagai permulaan memfokuskan kepada salah satu MPU iaitu TITAS. Ia bertujuan untuk menjelaskan inovasi yang dilaksanakan terhadap kursus TITAS khususnya berkaitan strategi pembelajaran di Universiti Malaya dan melihat persepsi pelajar terhadap inovasi strategi pembelajaran yang menerapkan elemen Kemahiran Insaniah (KI) serta pencapaian mereka di dalam memperolehi KI tersebut. Sebagai satu kajian awal hanya dua elemen KI sahaja yang menjadi fokus iaitu kemahiran kerja berpasukan dan kemahiran berkomunikasi. Metode kajian yang digunakan adalah kajian perpustakaan bagi menjelaskan tentang pelaksanaan kursus TITAS dan menganalisis pencapaian pelajar dalam KI kursus ini. Soal selidik juga diedarkan kepada 120 mahasiswa yang telah mengambil mata kuliah TITAS dan dapatan kajian adalah secara deskriptif iaitu dalam bentuk peratusan dan kekerapan atau frekuensi untuk menganalisis data. Hasil kajian ini mendapati bahawa persepsi mahasiswa terhadap inovasi strategi pembelajaran dan metode penilaian yang dilaksanakan adalah baik. Ini telah memberi kesan yang baik juga kepada pencapaian yang diperoleh dalam penilaian kerja kursus dan pencapaian KI mereka. Mahasiswa tidak menghadapi masalah dalam melaksanakan tugasan secara berkumpulan yang terdiri daripada pelbagai etnik dan latar belakang.
Les manifestations oculaires au cours de la maladie de Crohn
Year: 2020

Resume But Le but etait d'etayer les principales manifestations oculaires au cours de la maladie de Crohn, et d'identifier les principaux facteurs de risque de l'atteinte oculaire. Methodes Etude analytique portant sur 71 patients atteints de maladie de Crohn. Le recueil des donnees a ete fait d'une facon prospective. Tous les malades avaient beneficie d'un examen ophtalmologique complet. Deux groupes ont ete identifies selon l'existence (groupe 1) ou non (groupe 2) d'une atteinte oculaire ayant un rapport avec la maladie de Crohn. Les differents parametres ont ete compares entre les 2 groupes. Resultats L'age moyen etait de 38 12 ans, le sex ratio M/F etait de 1,7. Le groupe 1 avait comporte 27 malades (38 Les atteintes oculaires chez ces malades etaient a type d'uveite anterieure observee chez 10 malades (37 sclerite chez 2 malades (7,4 episclerite chez 8 malades (29,6 syndrome sec oculaire chez 7 malades (25,9 infiltrats corneens chez 7 malades (25,9 ulcere palpebral chez un patient (3,7 une occlusion veineuse avec capillaropathie oedemateuse chez deux patients (7,4 et un decollement sereux de la retine chez un patient (3,7 La conjonctivite a ete consideree comme une atteinte fortuite, elle a ete notee chez 8 malades (15 yeux) La localisation colique ou ileocolique, ainsi que les poussees inflammatoires de la maladie de Crohn, etaient identifiees comme facteurs de risque independants de l'atteinte oculaire de la maladie de Crohn (odds ratios ajustes respectifs de 5,21 et 6,8)  Les manifestations oculaires au cours de la maladie de Crohn etaient polymorphes. La localisation colique ou ileocolique, ainsi que les poussees inflammatoires de la maladie de Crohn, ont ete identifiees comme facteurs de risque.
Input impedance modeling of patch and semi rectangular substrate integrated waveguide cavity hybrid antenna
Year: 2018

A complete equivalent circuit model of input impedance is developed for a hybrid antenna, which consists of a Half Mode Substrate Integrated Waveguide (HMSIW) resonator and a microstrip patch. An accurate circuit model is derived using Transmission Line (TL) model and lumped element. The results based on the circuit modeling are presented and compared with those obtained using full wave simulation. The proposed model, for the first time, clarifies fundamental characteristics of the input impedance of the hybrid antenna, which are verified by the results of a full wave simulation and those obtained by measurement.
AGAC VE CEVREYE YONELIK TUTUM OLCEGI GELISTIRILMESI
Year: 2013

Bu arastirmada, ogrencilerin agac ve cevreye yonelik tutumlarini olcmek icin Likert tipi gecerli ve guvenilir bir tutum olceginin gelistirilmesi amaclanmistir. Olcek gelistirme asamasinda mevcut olcekler incelenmis, uzman goruslerine basvurulmus ve tutum maddeleri belirlenerek taslak olcek olusturulmustur. Taslak olcek Kutahya Dumlupinar Universitesi Egitim Fakultesi, Ilkogretim Bolumu, Sinif Ogretmenligi, Sosyal Bilgiler Ogretmenligi, Okul oncesi Ogretmenligi ve Fen Bilgisi Ogretmenligi Anabilim Dali 2 4. siniflarda ogrenim gormekte olan 206 ogrenciye uygulanarak gecerlik ve guvenirlik calismalari yapilmistir. Olcegin kapsam gecerliligi uzman gorusleri alinarak, yapi gecerliligi ise faktor analizi yapilarak gerceklestirilmistir. Acimlayici faktor analizi sonucunda olcekte, toplam varyansin 60.18'ini aciklayan 6 faktore sahip tamami olumlu 29 madde yer almistir. 's Alfa guvenirlik katsayisi .91'dir
Letter by Behrouz and Aachi Regarding Article, "Cannabis, Tobacco, Alcohol Use, and the Risk of Early Stroke: A Population Based Cohort Study of 45 000 Swedish Men"
Venue: Stroke
Year: 2017

We read with interest the study by Falkstedt et al1 on the association (or lack thereof) between cannabis use in young adulthood and stroke later in life. We commend the authors on their work that is based on a population of >40 000 individuals followed over a period of 4 decades. However, the title of this study does not reflect the conclusion reported by the authors because it misrepresents the chronology of
Comparative Survey of Swarm Intelligence Optimization Approaches for ANN Optimization
Year: 2018

Swarm intelligence (SI) approaches are a group of populace dependent, nature influenced meta heuristic approaches that are impressed via collective intelligence of homogeneous insects, birds, etc. These algorithms simulate the behaviour of the group of homogeneous biological entities to get a global ideal solution in optimization problems, where classical optimization algorithms may fail. Examples consist of a flock of birds, colonies of bees, colonies of ants, school of fish, etc. This paper presents a comparative study of different swarm intelligence approaches: particles swarm optimization (PSO) algorithm, intelligent water drop (IWD) approach, artificial bee colony (ABC) algorithm and ant colony optimization (ACO) algorithm for the optimization of single layer neural networks.
Effect of Revitalisation of Historic Buildings on Retail Shop Values in Urban Renewal: An Empirical Analysis
Year: 2018

There often exists a tension between heritage conservation and urban redevelopment. However, heritage places are progressively operated as consumption spots and economic commodification, based on scholarly argument, is a major reason for the existence of a heritage resource. In this study, it is argued that revitalisation of historic edifices in districts undergoing urban renewal enhances the values of nearby commercial properties. This study employed a Hedonic Price Model (HPM) to investigate the existence of any relationship between revitalisation of historic building developments and the value enhancement of nearby retail properties located at the ground floor in the old area of Wanchai in Hong Kong. The model used 2961 real estate transactions obtained from buildings in the neighbourhood of three revitalised historical projects in the studied area, where a number of revitalisation projects have been completed. The results show that the revitalised historical projects have generated considerable value enhancements to the retail shopping properties in the vicinity. The results also revealed that the revitalised historical sites exert a greater impact on the retail property prices than do the newly developed nearby residential projects. The findings indicate that through the value enhancement of neighbourhood properties, the revitalisation of historical sites benefit not only the surrounding property owners but also local governments in the vicinity. The finding therefore supports the arguments utilized to advocate urban revitalisation and the idea that heritage resources exist purposely for economic commodification. Moreover, three case studies of the revitalisation of Chinese tenement buildings also provide a qualitative analysis of their social and economic impacts on the community.
TRADITIONAL SPORT IN MODERN CONTEXT
Year: 2014

The aim of this article is to emphasize and acknowledge traditional sports as an important historical and sociocultural phenomenon. By describing 'the traditional sports and games movement' from its organization to some key ideas, the authors show how local and national heritage of physical culture is important to every society. Within the current process of globalization, which touches on not only economic and political domains but also cultural and ethnic ones, people need to be aware of their heritage and identity. Various forms of our own, indigenous physical activity are part of this identity. In this article, the authors show the general background to the current situation of traditional sports in a globalized world, which is the socio cultural context in which they exist, by describing some examples of these kinds of sports and initiatives all over the world. Afterwards, the focus will turn to a particular event The 5th World Sport for All Games during which traditional sports and games are played and promoted, showing the existence of this kind of sport as a potentially efficient tool in promoting cultural exchange and preserving heritage in the contemporary world.
Optimal Bidding Strategy for Microgrids in Energy and Spinning Reserve Markets
Venue: 2019 IEEE Power Energy Society General Meeting (PESGM)
Year: 2019

In this paper, an optimal bidding strategy is proposed for microgrids that participate in both energy and spinning reserve markets for profit maximization. Various uncertain factors such as the day ahead (DA) energy market prices, real time (RT) energy prices, reserve prices, output power of the intermittent renewable resources and load demands are considered and modeled. The energy bids, reserve offers, unit commitment and power generation/consumption of the microgird are determined based on two stage stochastic optimization. The first stage is related to the DA market, while the second stage is related to the RT market. Comprehensive case studies, which are based on the codes and data of PJM market, have been carried out to verify the proposed strategy.
Integrated olfaction, gustation and toxicity detection by a versatile bioengineered cell based biomimetic sensor.
Venue: Bioelectrochemistry
Year: 2019

The biological olfactory and gustation system can discriminate thousands of odor and taste substances with high sensitivity and specificity, specific receptor proteins play an important role in this process. This study used the human neuroblastoma SH SY5Y cell line endogenously expressing the human bitter receptor, T2R16. Meanwhile, an olfactory receptor, ODR 10, was transfected on the plasma membrane of SH SY5Y cells. T2R16 could specifically respond to bitter compounds with the structure of b glucopyranosides by activation of G protein coupled receptors (GPCRs) causing cell morphologic changes, which could be monitored using a cell impedance sensor. ODR 10 could specifically respond to diacetyl by changing the extracellular potential of the cells, the resopnse was recorded by a microelectrode array (MEA) The cell index (CI) value and firing rates were extracted from the signals as the biosensor response characteristics. The results with the sensors indicated a dose dependent response within a defined concentration range. Moreover, this cell impedance biosensor enabled quick toxicity detection of salicin when the concentration was =6 mM. In conclusion, the biomimetic sensors integrated olfaction, gustation and toxicity detection using the same cell, and has showed great potential for use in both basic research and practical applications.
FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory
Venue: 2018 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2018

Limb amputation is a global problem. Prosthetic limbs can enhance the quality of life of amputees. To this end, anthropomorphic design and intuitive manipulation are two essential requirements. This paper presents a motor control framework for prosthetic control through Brain Machine Interface (BMI) using Finite Automata Theory, and NeuCube Evolving Spiking Neural Network (SNN) architecture. Voluntary control of prosthetics requires decoding motor commands from the Central Nervous System of the amputee. Selection of the most suitable biomedical signal depends on many parameters such as level of amputation and muscle atrophy. Non invasive BMI's have the possibility of supporting a wider range of amputees as it extracts the motor commands from the brain. In this paper, we present a proof of concept study on whether a cognitive computational model that is inspired by the motor control of the human body through muscle synergies combined with an anthropomorphic mechanical design, can result in accurate and robust prosthetic control through a noninvasive BMI. In future, learning of a complex Finite Automata that reflects complex upper limb motor behaviours will be investigated.
Supervised Machine Learning based Ensemble Model for Accurate Prediction of Type 2 Diabetes
Venue: 2019 SoutheastCon
Year: 2019

According to the American Diabetes Association(ADA) 30.3 million people in the United States have diabetes, but only 7.2 million may be undiagnosed and unaware of their condition. Type 2 diabetes is usually diagnosed for most patients later on in life whereas the less common Type 1 diabetes is diagnosed early on in life. People can live healthy and happy lives while living with diabetes, but early detection produces a better overall outcome on most patient's health. Thus, to test the accurate prediction of Type 2 diabetes, we use the patients' information from an electronic health records company called Practice Fusion, which has about 10,000 patient records from 2009 to 2012. This data contains individual key biometrics, including age, diastolic and systolic blood pressure, gender, height, and weight. We use this data on popular machine learning algorithms and for each algorithm, we evaluate the performance of every model based on their classification accuracy, precision, sensitivity, specificity/recall, negative predictive value, and F1 score. In our study, we find that all algorithms other than Naive Bayes suffered from very low precision. Hence, we take a step further and incorporate all the algorithms into a weighted average or soft voting ensemble model where each algorithm will count towards a majority vote towards the decision outcome of whether a patient has diabetes or not. The accuracy of the Ensemble model on Practice Fusion is 85% by far our ensemble approach is new in this space. We firmly believe that the weighted average ensemble model not only performed well in overall metrics but also helped to recover wrong predictions and aid in accurate prediction of Type 2 diabetes. Our accurate novel model can be used as an alert for the patients to seek medical evaluation in time.