nils-herrmann/clean_scirepeval huggingface dataset:
INCONSISTENCIES OF FOOT TYPE CLASSIFICATION
Year: 2012

Research background and hypothesis. Literature analysis shows that researchers try to determine which method used for foot type estimation is the most reliable, and look for correlations between directly received foot measurements (indexes, angles) ignoring assessment scales. Given different medial longitudinal arch (MLA) assessment scales, the comparison, discussion and conclusions of the obtained data might be unreliable. Research aim of this study was to determine the reliability of foot type classification: a) to assess correlation links between results from various methods used to analyse foot; b) to identify foot type distribution according to medial longitudinal arch.  The MLA of 182 feet was assessed using four prevalent foot type evaluation methods: the Chipaux Smirak Index (CSI) the Staheli Index (SI) the Clarke angle (CLA) and arch index by D. S. Williams (WAI) Pearson's correlation was used to determine links between foot indexes.  Very strong link was found between CSI and SI footprint indexes, while medium negative correlation was determined between Clarke angle with Chipaux Smirak (CSI) and Staheli (SI) indexes. Average amount of low arch foot assessed according to the foot type classification scales by the four methods was 64.0 (SD 65.5) normal foot 92.25 (SD 51.77) and high arch foot 25.75 (SD 35.33)  Research showed that current foot arch classification was not reliable. The foot type classification scales presented by F. Forriol, L. T. Staheli, N. M. Clarke and D. S. Williams define different medial longitudinal foot arch distribution by testing the same pairs of feet despite the correlative link intensity between foot arch indexes.
A Transformational Journey from Unstructured Geoscience Data to a Digital Analytical Experience
Year: 2020

The automated standardization of legacy datasets can facilitate the generation of valuable new insights, when consumed within a business intelligence platform. Where the digital transformation in the energy services sector has successfully led to the automation of data gathering and interpretation processes, a geoscientist's time can be freed up to undertake the more valuable interpretive tasks that are so vital in understanding subsurface geology. A recent advancement in managing data that has significantly helped with this transition has been the adoption of business intelligence and analytics platforms to produce advanced visualizations and automated analysis. This presentation and article focusses on a recent example of this process in action where play cross sections in an unstructured PDF format are processed for use within an analytical platform.
A Novel Approach for Full Thickness Defect of the Nasal Alar Rim: Primary Closure of the Defect and Reduction of the Contralateral Normal Ala for Symmetry
Venue: Annals of dermatology
Year: 2015

In full thickness defects of the nasal alar rim, to achieve projection and maintain airway patency, cartilage graft is frequently needed. However, cartilage graft presents a challenge in considerations such as appropriate donor site, skeletal shape and size, and healing of the donor area. To avoid these demerits, we tried primary closure of alar rim defects by also making the contralateral normal ala smaller. We treated two patients who had a full thickness nasal alar defect after tumor excision. Cartilage graft was considered for the reconstruction. However, their alar rims were overly curved and their nostril openings were large. To utilize their nasal shape, we did primary closure of the defect rather than cartilage graft, and then downsized the contralateral nasal ala by means of wedge resection to make the alae symmetric. Both patients were satisfied with their aesthetic results, which showed a smaller nostril and nearly straight alar rims. Moreover, functionally, there was no discomfort during breathing in both patients. We propose our idea as one of the reconstruction options for nasal alar defects. It is a simple and easy to perform procedure, in addition to enhancing the nasal contour. This method would be useful for patients with a large nostril and an overly curved alar rim.
A Read Write Memory Network for Movie Story Understanding
Venue: 2017 IEEE International Conference on Computer Vision (ICCV)
Year: 2017

We propose a novel memory network model named Read Write Memory Network (RWMN) to perform question and answering tasks for large scale, multimodal movie story understanding. The key focus of our RWMN model is to design the read network and the write network that consist of multiple convolutional layers, which enable memory read and write operations to have high capacity and flexibility. While existing memory augmented network models treat each memory slot as an independent block, our use of multi layered CNNs allows the model to read and write sequential memory cells as chunks, which is more reasonable to represent a sequential story because adjacent memory blocks often have strong correlations. For evaluation, we apply our model to all the six tasks of the MovieQA benchmark [24] and achieve the best accuracies on several tasks, especially on the visual QA task. Our model shows a potential to better understand not only the content in the story, but also more abstract information, such as relationships between characters and the reasons for their actions.
Pulmonary actinomycosis and hypertrophic osteopathy in a red kangaroo (Macropus rufus)
Venue: Veterinary Record Case Reports
Year: 2018

A five year old red kangaroo (Macropus rufus) presented with bilateral, firm thickening of the radius, ulna and metatarsal bones with local tissue hyperthermia. Radiographs revealed a soft tissue opacity left intrathoracic mass lying cranial to the heart, and extensive areas of smooth to palisading periosteal reaction along radius, ulna and metatarsus bilaterally. Culture of an aspirate from the mass yielded Actinomyces species. Treatment consisting of injectable penicillin and oral amoxicillin/clavulanic acid, meloxicam and tramadol was implemented for nine months. While receiving antibiotic therapy, the animal's clinical condition improved, however, clinical signs returned after antibiotics were discontinued. Keeping it on daily medications indefinitely was considered neither practical nor safe for the staff and highly stressful for the animal. The kangaroo was euthanased one year and two months after initial diagnosis. Gross necropsy and histological findings confirmed the clinical diagnosis of pulmonary actinomycotic abscessation with hypertrophic osteopathy.
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Venue: ACL
Year: 2019

The majority of conversations a dialogue agent sees over its lifetime occur after it has already been trained and deployed, leaving a vast store of potential training signal untapped. In this work, we propose the self feeding chatbot, a dialogue agent with the ability to extract new training examples from the conversations it participates in. As our agent engages in conversation, it also estimates user satisfaction in its responses. When the conversation appears to be going well, the user's responses become new training examples to imitate. When the agent believes it has made a mistake, it asks for feedback; learning to predict the feedback that will be given improves the chatbot's dialogue abilities further. On the PersonaChat chit chat dataset with over 131k training examples, we find that learning from dialogue with a self feeding chatbot significantly improves performance, regardless of the amount of traditional supervision.
Depth Image Inpainting via Single Depth Features Learning
Venue: 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP BMEI)
Year: 2020

The holes in depth images, which are one of the main factors affecting image quality and applications. In order to fill holes effectively for the depth images, this paper proposes a single depth image inpainting method based on deep learning. First, features are learned and extracted from a single depth image by U Net network. Then, the similarity measurement loss between the output and ground truth is back propagated to update network parameters. Finally, the depth image inpainting result is created by combing the output hole filling result and original image. The NYUv2 dataset was used for the training and evaluation. Experimental results show that results of our method which only learns feature information from single depth image are similar to the optimal results of various hole filling methods which using color image information.
Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information
Venue: COLING
Year: 2016

In this paper, we propose utilising eye gaze information for estimating parameters of a Japanese predicate argument structure (PAS) analysis model. We employ not only linguistic information in the text, but also the information of annotator eye gaze during their annotation process. We hypothesise that annotator's frequent looks at certain candidates imply their plausibility of being the argument of the predicate. Based on this hypothesis, we consider annotator eye gaze for estimating the model parameters of the PAS analysis. The evaluation experiment showed that introducing eye gaze information increased the accuracy of the PAS analysis by 0.05 compared with the conventional methods.
Development of a banana (Musa paradisiaca) flour based food fortified with aminochelated iron and zinc, microencapsulated calcium and folate
Year: 2012

to develop a food enriched with aminochelated iron and zinc, micro encapsulated calcium and folate for human consumption.  we used banana non optimal for exportation from Uraba (AntioquiaColombia) 50% mature, arabic gum, maltodextrin, citric acid and ascorbic acid, microencapsulated milk calcium, aminochelated iron and zinc, artificial flavor, food colorants and preservatives. The product was dehydrated using a spraydrying process. Five samples of blends were subject to different temperatures by spray drying, obtaining five batches of product. The lots were subjected to bromatological and microbiology analysis, optical microscopy, acceptability testing and in vitro studies for digestibility.  all the batches had sensory and qualitative characteristics very similar, but the best item in the acceptability test was the number four, which corresponds to the one subjected to temperatures of input and output with a variation range of 110degC, which nutritional value is within originally proposed ranges, its flavor was one of the most widely accepted by consumers, and the microcapsule had better characterization.  we obtained a loose flour product, easy to dilute, enriched with micronutrients and with a good carbohydrates content, mild banana flavor, and light yellow color. Additionally, we obtained a microsphere of calcium and a well accepted product for immediate consumption.
Marrying Global History with South Asian History: Potential and Limits of Global Microhistory in a Regional Inflection
Year: 2019

Der vorliegende Beitrag rekonstruiert zunachst die Genese grenzuberschreitender, ,transnationaler" und ,globaler" Geschichtsschreibung zu Sudasien. Auf dieser Grundlage postuliert er einen spezifischen globalhistorischen Ansatz, welcher die in den area studies ubliche dichte regional und kulturspezifische Kontextualisierung nicht zugunsten einer moglichst umfassenden Makroperspektive opfert. Der zur Diskussion gestellte Ansatz erkennt vielmehr den Wert von Mikroperspektiven an und empfiehlt die fokussierte Analyse von einzelnen Akteuren, Organisationen oder Institutionen in ihren vielfaltigen Verflechtungen als eine gangbare Methode, um regional grundierte Globalgeschichte zu schreiben. Anders als bei rein mikrohistorischen Zugriffen ist jedoch die multiskalare Erweiterung auf andere relevante Interaktionsraume ebenso unerlasslich. Je nach Themenstellung wird daher das Ausleuchten von regionalen, nationalen, imperialen oder globalen Kontexten erforderlich. Es ist insbesondere ihre Fahigkeit zum ,Auszoomen" die den grosten Erkenntnisgewinn dieser globalen Mikrogeschichte verspricht. Moglichkeiten und Grenzen eines solchen Ansatzes werden abschliesend mit einem Beispiel aus der aktuellen Forschung des Autors zu Dorfentwicklungsprogrammen des amerikanischen YMCA im Indien der Zwischenkriegszeit illustriert.
Interface induced in situ vertical phase separation from MAPbI3:Spiro OMeTAD precursors for perovskite solar cells
Year: 2020

The major obstacles delaying the commercialization of thin film solar cells based on hybrid organic halide perovskite are the expensive materials, instability of the devices and the complicated multi step fabrication process. To solve these challenges, we present a simple and high material utilization strategy which employing the polyethyleneimine (PEI) interface abduction to in situ fabricate perovskite layer and hole transporting layer (HTL) from MAPbI3 and Spiro OMeTAD (SPI) mixed precursors in single step. Analyzation find that the in situ phase separation is induced by the PEI abduction. The existence of PEI blocks SPI form Ti O bond with bottom TiO2 surface and converting the interaction between SPI and bottom interface to Van der Waals interaction. Employing this fabrication technique for PSCs, remarkably improves materials utilization of perovskite and SPI, as well as exhibiting superior stability of about 95% initial efficiency even after 68 days of storage in ambient condition without encapsulation. We believe that our strategy will pave a new way for simple, economical and stable PSCs preparation, and provide an inspiration to simplify fabrication process for organic inorganic electronic devices.
Moving vehicle detection from video sequences for Traffic Surveillance System
Year: 2021

In the current scenario, Intelligent Transportation Systems play a significant role in smart city platform. Automatic moving vehicle detection from video sequences is the core component of the automated traffic management system. Humans can easily detect and recognize objects from complex scenes in a flash. Translating that thought process to a machine, however, requires us to learn the art of object detection using computer vision algorithms. This paper solves the traffic issues of the urban areas with an intelligent automatic transportation system. This paper includes automatic vehicle counting with the help of blob analysis, background subtraction with the use of a dynamic autoregressive moving average model, identify the moving objects with the help of a Boundary block detection algorithm, and tracking the vehicle. This paper analyses the procedure of a video based traffic congestion system and divides it into greying, binarisation, de nosing, and moving target detection. The investigational results show that the planned system can provide useful information for traffic surveillance.
Semi Supervised Meta Learning via Self Training
Venue: 2020 3rd International Conference on Intelligent Autonomous Systems (ICoIAS)
Year: 2020

The goal of meta learning is to learn a learning procedure to generate a learner from only a handful of labeled datapoints. However, the learning procedure is learned by a meta learner from an enormous amount of few shot tasks constructed from a large amount of labeled datapoints. From this point of view, few shot learning is also depending on huge amount of labeled data. In this paper, we present a simple and efficient method for few shot classification in a semi supervised setting where only a small portion of training samples are labeled. We assign these unlabeled data pseudo labels using a classifier trained with both labeled and unlabeled data. Once the pseudo label obtained, we can run meta learning over tasks constructed from labeled and pseudo labeled data. We evaluate our method on miniImagenet and tieredImagenet benchmarks whose meta training sets are split into unlabeled portion and labeled portion further in order to adapt to our framework. Our experimental results confirm that our semi supervised meta learning approach acquires a considerable performance gain over meta learning with only labeled data and significantly outperforms previous state of the art semi supervised meta learning methods.
Interplay between Selenium, selenoprotein genes, and oxidative stress in honey bee Apis mellifera L.
Venue: Journal of insect physiology
Year: 2019

The honey bee, Apis mellifera L. is a major pollinator insect that lacks novel "selenoprotein genes" rendering it susceptible to elevated levels of Selenium (Se) occurring naturally in the environment. We investigated the effects of two inorganic forms of Se on biological traits, oxidative stress, and gene regulation. Using bioassay arenas in the laboratory, one day old sister bees were fed ad libitum 4 different concentrations of selenate and selenite, two common inorganic forms of Se. The transcription levels of 4 honey bee antioxidant genes were evaluated, and three putative selenoprotein like genes (SELENOT, SELENOK, SELENOF) were characterized as well as Sbp2, a Selenium binding protein required for the translation of selenoproteins mRNA. Oxidative stress and Se residues were subsequently quantified in honey bee bodies throughout the experiment. Se induced higher oxidative stress in treated honey bees leading to a significantly elevated protein carbonyl content, particularly at the highest studied concentrations. Early upregulations of Spb2 and MsrA were identified at day 2 of the treatment while all genes except SELENOT were upregulated substantially at day 8 to alleviate the Se induced oxidative stress levels. We determined that doses between 60 and 600 mg.Se.L 1 were acutely toxic to bees 48 h) while doses between 0.6 and 6 mg.Se.L 1 led to much lower mortality (7 16) Furthermore, when fed ad libitum, Se residue data indicated that bees tolerated accumulation up to 0.12 mg Se bee 1 for at least 8 days with a Se LC50 of ~6 mg/L, a field realistic concentration found in pollen of certain plants in a high Se soil environment.
Structured Data Resources for Autism Spectrum Disorder
Year: 2019

The output of published research is growing at an exponential rate, making it difficult for researchers to keep up to date with even a fraction of new findings. Automated curation of biomedical literature has become necessary to deal with this influx of new information and allows researchers to leverage this information for further innovation. Multiple studies show that automated curation achieves best results when developed with respect to some specific domain. This project proposes an approach for the annotation of literature focusing on Autism Spectrum Disorders. Autism Spectrum Disorders have a complex genetic basis, wide variability in symptomology and are largely heterogeneous with a number of co morbid disorders, making exact characterization a difficult task. The approach proposed here follows a pipeline of biomedical entitiy recognition, identifying autism phenotypes and extraction of relationships between entities, using Natural Language Processing with various open source tools and resources. The system is evaluated against manually annotated data and shows performance scores comparable to previous systems. Finally, the system is deployed on a corpus of ASD relevant articles, allowing us to examine the prevalence of ASDrisk genes and phenotypes, identify relationships between them, and observe patterns among the annotated papers.
HUBUNGAN KOMPETENSI PEDAGOGIK DAN KOMPETENSI PROFESIONAL GURU DENGAN MOTIVASI BELAJAR SISWA PADA MATA PELAJARAN SEJARAH KEBUDAYAAN ISLAM
Year: 2018

Latar belakang masalah penelitian ini adalah motivasi belajar siswa dalam dunia pendidikan sangat penting demi mudahnya mencapai tujuan pendidikan yang diinginkan. Motivasi belajar di pengaruhi oleh dua faktor yakni faktor intrinsik dan faktor ekstrinsik. Dengan adanya faktor ekstrinsik maka seorang guru diharapkan memiliki kompetensi guru yang baik karena hal tersebut akan menjadi bekal ketika proses pembelajaran dikelas. Kompetensi yang dimiliki guru akan berdampak pada motivasi belajar siswa. Khusunya mata pelajaran sejarah kebudayaan islam dimana materi hanya berupa tulisan dan cerita zaman dahulu. Apabila dalam penyampaian materi guru tidak memiliki kompetensi pedagogik yakni kemampuan mengelola kelas dan kompetensi profesional guru yakni kemampuan menguasai materi yang baik, maka peserta didik tidak akan bersemangat mengikuti proses pembelajaran mata pelajaran sejarah kebudayaan islam tersebut. Motivasi belajar peserta didik di MA Nurul Ummah Kotagede Yogyakarta sudah bisa dikatakan cukup baik terbukti dari pencapaian nilai yang didapat pada ulangan semester ganjil. Adapun tujuan dalam penelitian ini adalah (1) menguji secara empiris hubungan kompetensi pedagogik dengan motivasi belajar siswa kelas XI MA Nurul Ummah pada mata pelajaran sejarah kebidayaan islam (2) menguji secara empiris hubungan kompetensi profesional guru dengan motivasi belajar siswa kelas XI MA Nurul Ummah pada mata pelajaran sejarah kebudayaan islam (3) menguji secara empiris hubungan antara kompetensi pedagogik dan kompetensi profesional guru dengan motivasi belajar siswa pada mata pelajaran sejarah kebudayaan islam kelas XI MA Nurul Ummah. Metode penelitian menggunakan penelitian kuantitaif dengan jenis penelitian korelasional. Dimana metode pengumpulan data menggunakan angket, wawancara dan dokumentasi. Subjek dalam penelitian ini adalah populasi kelas XI MA Nurul Ummah Kotagede Yogyakarta. Kemudian teknik analisis data menggunakan korelasi product moment dan korelasi ganda. Hasil penelitian ini adalah (1) ada hubungan yang positif dan sangat signifikan antara kompetensi pedagogik dengan motivasi belajar siswa
The effect of superelastic strain on the damping capacity in columnar grained Cu Al Mn shape memory alloy
Venue: Journal of Alloys and Compounds
Year: 2019

Columnar grained Cu Al Mn shape memory alloy (SMA) can experience high superelastic strain exceeding 7% and exhibits a nearly 100% superelastic recovery ratio due to its straight grain boundaries and strong texture along the solidification direction, which allows it to reach the strain level of a single crystalline Cu based or Ni Ti SMAs and possesses a potential for damping applications. In this paper, the damping capacity of Cu Al Mn SMA in various deformation conditions during a strain controlled superelastic cyclic tensile process was studied. The anisotropy characteristics and the cyclic effect of damping capacity were analysed. The damping capacity of columnar grained Cu Al Mn SMA increases as the loading strain increases in superelastic tensile processes, and a large damping capacity anisotropy occurs. At low loading strain 6% T 0deg and T 15deg samples can achieve a good damping capacity because of high superelasticity and plasticity. In addition, the damping capacity of columnar grained Cu Al Mn SMA along the solidification direction has a significant cyclic effect. At the same loading strain (4% 10% DW1% and loss angle, DW/2pW first decrease to the minimum, then increase to the maximum and, finally, decreases as the number of cycles increases. The minima and maxima of DW1% and DW/2pW at different strain amplitudes correspond to the similar residual strain ratio, er/et. The change curves of damping capacity related to er/et can be divided into three stages: the stable damping capacity stage with low residual strain; the rapidly increasing damping capacity stage; the sharp cumulative stage of residual martensite with limited values of strain damping capacity.