nils-herrmann/clean_scirepeval huggingface dataset:
Discrimination of Golab apple storage time using acoustic impulse response and LDA and QDA discriminant analysis techniques

Firmness is one of the most important quality indicators for apple fruits, which is highly correlated with the storage time. The acoustic impulse response technique is one of the most commonly used nondestructive detection methods for evaluating apple firmness. This paper presents a non destructive method for classification of Iranian apple (Malus domestica Borkh. cv. Golab) according to the duration of storage. Several data preprocessing methods were tested: normalization, detrending, Savitzky Golay smoothing, first and second derivatives, multiplicative scatter correction, standard normal variate and moving average. It was observed that the maximum average Fb value of classification on the test dataset (0.84) belongs to non preprocessing. In this study, principal component analysis (PCA) technique was performed to determine the key variables that explain most differences in the spectra. Seven principal components were used to calibrate linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) classifiers. The classification accuracy for LDA and QDA models were about 80.56% and 83.33% respectively. The results indicated that the acoustic impulse response method is potentially applicable for the detection of apple firmnes
Real time loop closure in 2D LIDAR SLAM
Venue: 2016 IEEE International Conference on Robotics and Automation (ICRA)

Portable laser range finders, further referred to as LIDAR, and simultaneous localization and mapping (SLAM) are an efficient method of acquiring as built floor plans. Generating and visualizing floor plans in real time helps the operator assess the quality and coverage of capture data. Building a portable capture platform necessitates operating under limited computational resources. We present the approach used in our backpack mapping platform which achieves real time mapping and loop closure at a 5 cm resolution. To achieve realtime loop closure, we use a branch and bound approach for computing scan to submap matches as constraints. We provide experimental results and comparisons to other well known approaches which show that, in terms of quality, our approach is competitive with established techniques.
A novel RCM mechanism using pneumatically driven flexible joint for laparoscopic forceps holder
Venue: 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO MAN)

Surgical robot systems for minimally invasive surgery (MIS) such as laparoscopic surgery, typically employ remote center of motion (RCM) mechanisms consisting of rigid links. Although the rigid body mechanisms have high reliability based on their stiffness, their large volume interferes the workspace of surgeons and the rigidity of pivot point requires precise positioning during the setup of robots. In this paper, a space saving and light weight manipulator to hold a forceps is developed, which has a compliant RCM mechanism by using a flexible joint. The manipulator consists of elastic metal springs and a wire to inflect the joint. Since the proposed flexible link has 2 DOF motion of protrusion and bending, the location of the pivot point can be variable, allowing easier adjustment of pivot point before or during the operation. We proposed the method to vary the radius of curvature of the flexible joint and pitch angle of forceps by controlling the position of the joint and the tension of the wire with two pneumatic cylinders. For more accurate manipulation, we modeled the holder in terms of material mechanics and experimentally identified static characteristics of the flexible joints. Experimental results show that the proposed model and control law achieve the rotational motion of the forceps with a remote and variable pivot point.
A Subset Similarity Guided Method for Multi objective Feature Selection
Venue: ACALCI

This paper presents a particle swarm optimisation PSO based multi objective feature selection method for evolving a set of non dominated feature subsets and achieving high classification performance. Firstly, a multi objective PSO named MOPSO SRD algorithm, is applied to solve feature selection problems. The results of this algorithm are then used to compare with the proposed multi objective PSO algorithm, called MOPSO SiD. MOPSO SiD is specifically designed for feature selection problems, in which a subset similarity distance measure distance in the solution space is used to select a leader for each particle in the swarm. This distance measure is also used to update the archive set, which will be the final solutions returned by the MOPSO SiD algorithm. The results show that both algorithms successfully evolve a set of non dominated solutions, which include a small number of features while achieving similar or better performance than using all features. In addition, in most case MOPSO SiD selects smaller feature subsets than MOPSO SRD, and outperforms single objective PSO for feature selection and a traditional feature selection method.
Surface morphology study in laser paint removal mechanisms on selected national car coated substrate

Thirty six rectangular shapes of two type's national car coated substrate samples were irradiated by using Nd: YAG laser for paint removal. The best and worst crater depth of highest laser paint removal efficiency was selected for surface morphology analysis by using Nova NanoSEM 450. The results show the surface texture of the crater depth was changed and varies based on the paint residue left after the paint stripping process.
[Study on the Mechanism of Laser Paint Removal Based on Emission Spectrum and Composition Analysis]
Venue: Guang pu xue yu guang pu fen xi Guang pu

The mechanism of laser paint removal is studied based on emission spectrum and composition analysis by using laser induced breakdown spectroscopy and X ray energy spectrum technology. The electron density and electron temperature of the plasma was calculated with the LIBS spectrums with different laser parameters. The morphologies of ablated paint surface were analyzed with a scanning electron microscopy while the changes of paint composition before and after ablation were measured with an X ray spectrometer. The results show that, the plasma electron density, temperature and ablation area gradually increase with the increasing of incident laser energy. The carbon (C) content in paint decreases from 78.25% to 67.07% after the laser irradiation, indicating the occurrence of the ablation in the process of laser paint removal. By comparing the content of titanium (Ti) elements, C element and aluminum (Al) we found that the paint ablation will be more severe at higher laser energy. This paper is important to in depth study of laser paint removal mechanism.
How to be a Good Teacher: Passion, Person, and Pedagogy

What makes a good teacher? What are the characteristics and qualities that distinguish a good teacher? How does a good teacher teach? Can teachers learn to be more effective? These questions reflect efforts to define teaching excellence and to identify strategies that improve teaching. Researchers have developed lists, models, and taxonomies that identify both personal traits and pedagogical skills that contribute to effective teaching and distinguish good teachers. Findings support that good teachers have engaging personality, knowledge, and pedagogical skills that are demonstrated with passion and enthusiasm. This article reviews perspectives on good teaching, presents observations on what is a good teacher, and concludes with reflections and questions that can provide a framework to critique how to be a good teacher.
Simulator and scenario for "Is the Market Really a Good Teacher? Market Selection, Collective Adaptation and Financial Instability"

Jamel (Java Agent based Macro Economic Laboratory) is an open source agent based framework dedicated to the modeling, the simulation and the analysis of complex monetary economies.  (20160509) contains the scenario used in the paper "Is the market really a good teacher? Market selection, collective adaptation and financial instability" by Pascal Seppecher, Isabelle Salle and Dany Lang.
University students' conceptions of the good teacher: A Hong Kong perspective

One way that universities assess teaching effectiveness is by eliciting student feedback. However, what standards do students themselves use to judge whether a lecturer is a 'good' teacher? As part of a study carried out at a Hong Kong university, students were interviewed about their first year learning experience and asked what they felt constituted 'good' and "bad' teaching. Unlike when asked to complete teacher effectiveness surveys, no criteria or characteristics were given. Responses focused primarily on teaching skills that supported student learning and encouraged critical thinking, particularly the teacher's ability to give clear explanations supported by relevant, practical examples.
'The Fever and the Fret' C.L.R. James, the Spanish Civil War and the Writing of The Black Jacobins

This essay explores some of the complexities of the black Trinidadian Marxist historian and activist C.L.R. James's insider outsider relationship to continental Europe, in particular the Spanish Civil War. The eruption of the Spanish Revolution in 1936 after a coup by General Franco overthrew the newly democratically elected Popular Front government was of tremendous hope to all those concerned about the rise of fascism. As a black colonial subject and Pan Africanist thinker, James's understanding of the Spanish Civil War was also viewed through the lens of colour, allowing us an important insight into how race and the colonial dimension of metropolitan politics manifested themselves in Europe during the 1930s. This essay will use James's little discussed writings for the Trotskyist and Pan Africanist press during this period to elucidate his attempt to help build solidarity with the Spanish Revolution. In particular, as well as drawing inspiration from the eyewitness accounts of workers power in revolutionary Barcelona, James highlighted the importance of the colonial dimension to the Spanish Civil War with respect to the question of Morocco. Finally the question of how the Spanish Civil War shaped James's classic 1938 history of the Haitian Revolution, The Black Jacobins, will be explored.
Specifying and Structuring Mathematical Topics

This article presents our four level approach for specifying and structuring mathematical learning content developed within the research program of topic specific design research. We understand this approach as an extension of classic "didactical analysis of subject matters," following the tradition of Stoffdidaktik and extending it by combination with an empirical component. For the exemplarily chosen topic of exponential growth, we illustrate why specifying and structuring along the four level approach is a constructive and creative work rather than a pure analysis. We discuss the mostly theoretical work of classic didactical analysis of subject matters on the formal, semantic, and concrete levels and analyze the connections between these levels and the empirical level. With the four level approach, we emphasize the need for including empirical investigations since they can enrich the process of specifying and structuring mathematical topics.ZusammenfassungIm vorliegenden Beitrag wird der Vier Stufen Ansatz zu Spezifizierung und Strukturierung mathematischer Lerninhalte dargestellt, der innerhalb des Forschungsprogramms zum gegenstandspezifischen Unterrichtsdesign entwickelt wurde (Forschungsprogramm der Fachdidaktischen Entwicklungsforschung) Die Autoren verstehen diesen Ansatz als Ausweitung der klassischen ,didaktischen Analyse der Lerninhalte" in der Tradition der Stoffdidaktik und erganzen ihn durch Kombination mit einer empirischen Komponente. Fur das beispielhaft gewahlte Thema des exponentiellen Wachstums wird veranschaulicht, warum die Spezifizierung und Strukturierung anhand des Vier Stufen Ansatzes eher eine konstruktive und kreative Tatigkeit ist als eine reine Analyse. Der uberwiegend theroretische Ansatz der klassischen didaktischen Analyse von Unterrichtsstoff wird auf formaler, semantischer und konkreter Ebene erortert und die Zusammenhange zwischen diesen Ebenen und der empirischen Ebene ausgewertet. Im Rahmen des Vier Stufen Ansatzes betonen die Autoren die Notwendigkeit, auch empirische Untersuchungen einfliessen zu lassen, da diese den Prozess des Spezifizierens und Strukturierens mathematischer Inhalte bereichern konnen.
Sustainable construction timber sourcing and specifying local timber.

Timber is a versatile and high performance construction material that can be produced in most parts of the UK. Sustainable construction timber has been written to help building designers and contractors source and specify these local timber products. The publication explains why local sourcing of timber is important, reviews the range of timber species and products currently obtainable in the UK and explores the ways in which local sourcing can be achieved within a construction project. Sustainable construction timber is applicable to designers and contractors wanting to source and specify UK grown timber products, people considering using their own timber on a construction project and those involved in building refurbishment or conservation.
Liberar un ruisenor: una teoria de los derechos para los animales desde el enfoque abolicionista

El texto se propone brindar aportes argumentativos para la construccion de una teoria juridica de los derechos para los animales, basada en una perspectiva abolicionista (con poca presencia en los debates nacionales) de las luchas animalistas que propugna por la eliminacion de la institucion juridica social de la propiedad sobre los animales en todas las esferas de las actividades humanas. Para ello se exponen sus propuestas basicas y se bosqueja un panorama de las evidencias etologicas que soportan esta propuesta de filosofia moral y la concrecion juridica que aqui se construye. De igual forma, el texto plantea la necesidad de generar cambios morales y sociales como presupuesto de las transformaciones juridicas.
Extra Adrenal Myelolipoma Containing Small Lymphocytic Lymphoma/Chronic Lymphocytic Leukemia: A Case Report and Review of the Literature
Venue: Case reports in hematology

Myelolipoma is a benign tumor consisting of mature fat interspersed with hematopoietic elements resembling bone marrow. The vast majority occurs within the adrenal glands, but several cases of extra adrenal myelolipomas (EAMLs) have been reported. We report a case of a 64 year old male who presented with complaint of lower abdominal discomfort. CT scan of abdomen and pelvis showed a 6 cm x 5 cm, well circumscribed, predominantly fatty mass in the presacral region. Histological examination of the pelvic mass revealed a myelolipoma heavily infiltrated by small lymphoid cell aggregates with immunophenotypic features of small lymphocytic lymphoma/chronic lymphocytic leukemia (SLL/CLL) Review of the literature revealed that there is only one published report of SLL/CLL involving a myelolipoma, which was also an extra adrenal myelolipoma, and, therefore, our case is the second case of a SLL/CLL involving a myelolipoma that is an extra adrenal myelolipoma. Extra adrenal myelolipomas seem to the preferred myelolipomas for involvement by SLL/CLL.
Primary testicular lymphoma A single center experience and review of literature

The purpose of this study is to evaluate the clinical characteristics, pathology, treatment outcomes, and survival of primary testicular lymphoma (PTL) patients treated at our hospital after 1990. Related literature was reviewed.  We retrospectively enrolled patients diagnosed with PTL between January 1990 and September 2013 in our institute. Clinical features, pathology, and overall survival were analyzed.  patients were enrolled. They had a mean age at diagnosis of 65.0 years (range 10 84 y) mean follow up duration 57.0 months (range 3 182 mo) and median overall survival of 38 months (range 4.0 184.7 mo) The most common pathology subtype was diffuse large B cell lymphoma n 21, 87.5% Fourteen patients (58.3% achieved complete remission of disease and five patients (20.8% achieved partial remission after treatment. Three patients had a relapse of disease after complete remission: one in the brain parenchyma, one in the pelvis soft tissue and omentum, and one in the left pyriform muscle. Three patients had metastasis after partial remission of disease: two in the brain parenchyma and one in the cauda equina. By univariate analysis, the factors significantly associated with superior overall survival were primary tumor diameter p p 0.019) suggesting a potential prognostic value of IPI in evaluating PTL patients.  The overall survival of PTL patients is poor, especially those with extensive disease (Stage III/IV) The IPI have a prognostic role in PTL. The use of rituximab in the treatment regimen of PTL does not seem to improve survival in our series.
Clinical text analysis using machine learning methods
Venue: 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)

SemEval (Semantic Evaluation) is an annual workshop where attendees participate in a series of evaluations (competitions) of computational semantic analysis for natural language processing (NLP) The series evaluations include 10 20 tasks each year. In this paper we present our entry to the SemEval 2014 Task 7 on the Analysis of Clinical Text evaluation. The main aim of this task is to analyze large amounts of clinical data and to find the mentions of clinical disorders. This task consists of two sub tasks: a) named entity recognition i.e, identifying disorder concepts that belong to Unified Medical Language System (UMLS) semantic group; and b) normalization, i.e, mapping mentions of disorders to UMLS Concept Unique Identifier (CUI) In this paper, we present a supervised machine learning system for prediction of disorder named entities based on the conditional random field model. The data set provided by the Task 7 organizer was used to evaluate our model.
Detecting Sentiment from Bangla Text using Machine Learning Technique and Feature Analysis

Sentiment Analysis is an ongoing field of research in text mining, especially in the area of Bangla language as there are few research works done in this particular sector. In general, sentiment classification means the analysis to determine the expression of a speaker whether he or she holds a positive or negative opinion to a specific subject on a given text. It is consider the information in a text at the document, and extract unique feature/aspect level whether the given query holds an expression of positive, negative or neutral. In this process of retrieving information of a document the author use Tf.Idf (term frequency inverse document frequency) to come out a better solution and give more accurate result by extracting different feature of a positive, negative or neutral word of sentiment analysis in particular view of Bangla text. The author calculate the total positivity, negativity of sentence or document with respect to total sense. Sufficient example and experiment are presented to describe the feature extraction of sentiment that it's found in this methodology. General Terms Machine learning, Bangla text analysis
Rethinking Pedagogy For A Digital Age Designing And Delivering E Learning

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Analog Front End for the Integrated Circuit AD5933 Used in Electrical Bioimpedance Measurements

In the recent decades the bioimpedance has been used in many areas of medicine. The technological advance of electronics has enabled the increase of bioimpedance applica tions. Measuring biological tissues is a hard work, which leads to the need of continuous research based on better methods and equipments for diagnosis. Many electronics manufacturers have helped the biomedical area through the development of new electronic components and equipment. The objective of this work is to adapt the impedance meter AD5933 for bioim pedance measurements. Two Analog Front End (AFE) circuits were built with different Voltage Controlled Current Source (VCCS) topologies, which are a load in the loop and a mir rored modified Howland current sources. Circuits were im plemented and both two and four electrode measurements in the frequency range of 5 to 100 kHz were performed. Results showed that both front end circuits are suitable to be used with the AD5933 at lower frequencies. Also, it might be a low cost alternative for electrical bioimpedance applications.
Aging effect on apples bio impedance using AD5933
Venue: 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)

In this paper, the effect of the fruits aging on bio impedance is experimentally studied. Bio impedance analysis, as accurate and fast method is used to investigate and monitor group of apples properties during aging. This method provides an alternative method for investigating apples physical properties that are highly related to chemical properties. AD5933 impedance analyzer chip within the frequency range (5 KHz 100 KHz) and NI ELVIS board within the frequency range (300 Hz 5 KHz) are used to investigate the changes in apple's properties during aging. According to experimental results, the observed changes in apples properties during aging can be highly related to bio impedance changes. Different parameters as weight, Cole Cole plot, impedance, and phase are discussed to investigate the aging effect.
Using AD5933 IC to Measure Dielectric Constant Variation of Atmospheric Ice

AD5933 IC is a high precision impedance converter system. In this article, it is used for detection of an atmospheric icing event and to determine atmospheric ice type. A prototype circuit is developed and is tested using a microcontroller AtMega128 clock excitation frequency from 40Hz to 20kHz. The IC is calibrated using a 100k resistor. The real and imaginary components of discrete fourier transform are recorded in order calculate the gain factor at each frequency increment. The unknown impedances are then calculated which are then utilized to calculate the complex dielectric constant of atmospheric ice at each frequency. The results are then compared with the experimental results of Stiles, Evans and Kuroiwa in order to detect an icing event and to determine its type. Results reflect that it is possible to use this approach for detection of an icing event, however it is difficult to determine icing type using this approach.
Theano: A Python framework for fast computation of mathematical expressions
Venue: ArXiv

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi dimensional arrays efficiently. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers especially in the machine learning community and has shown steady performance improvements. Theano is being actively and continuously developed since 2008, multiple frameworks have been built on top of it and it has been used to produce many state of the art machine learning models. The present article is structured as follows. Section I provides an overview of the Theano software and its community. Section II presents the principal features of Theano and how to use them, and compares them with other similar projects. Section III focuses on recently introduced functionalities and improvements. Section IV compares the performance of Theano against Torch7 and TensorFlow on several machine learning models. Section V discusses current limitations of Theano and potential ways of improving it.