nils-herrmann/clean_scirepeval huggingface dataset:
Some Applications of Vibrational Spectroscopy for the Analysis of Polymers and Polymer Composites
Venue: Polymers
Year: 2019

Vibrational spectroscopies, including infrared and Raman techniques, are important tools for the characterization of chemical composition, molecular structures, and chain orientation under mechanical deformation of polymeric materials. The development of fiber optic based spectrometers has broadened the use of vibrational spectroscopy for process monitoring in various fields including polymerization, curing, and manufacturing processes. Combined with chemometrics, near infrared (NIR) spectroscopy is now recognized as one of the most important techniques for polymer analyses. Infrared and Raman studies also offer invaluable means for the analysis of inorganic particles used as reinforcing fillers for polymers. The characterization of surface species and the nature of interfacial bonding between the organic and inorganic phases are important issues for the understanding of composite properties. Infrared spectroscopy is particularly convenient for the detection and analysis of hydroxyl groups on filler surfaces, and Raman spectroscopy is particularly well suited for the study of carbon based materials. In both techniques, polymer filler interactions can be evidenced through frequency shifts or width changes of bands associated with vibrational modes of functional groups of either macromolecular chains or filler particles. Selected examples of application of infrared and Raman spectroscopies illustrate their potential for monitoring polymer processes, measuring polymer orientation, and characterizing polymer composites.
COHERENCE BASED METHOD TO DETECT TIME SHIFTS SMALLER THAN THE SAMPLING RATE OF TIME SERIES
Year: 2015

The paper presents a method to evaluating the average time shift between two time series by exploiting both components of the complex valued cross coherence function: the magnitude and the relative phase. What is new is there are detected temporal shifts smaller than the sampling interval of the series which could be useful to the timing of macro economic indicators according to process evolution, not to the calendar day of publication. Depending on the key quantities grouped in the descriptor the method is able to detect time gaps as small as one tenth of the sampling rate. The method applies on non stationary series that are lacking long run correlations. In the paper is presented the theoretical justification of the technique, the calibration procedure, a validation test using aggregate replicas as well as how the technique could be applied onto the series of exchange rates, aggregate index BET of the Bucharest stock exchange market, and macro economic indicators. When used to ordering the series inside groups of coherent clusters, the results should be cautiously concatenated to establishing the relative time succession among more than two series.
EsPal: One stop shopping for Spanish word properties
Venue: Behavior research methods
Year: 2013

This article introduces EsPal: a Web accessible repository containing a comprehensive set of properties of Spanish words. EsPal is based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database. Properties available include word frequency, orthographic structure and neighborhoods, phonological structure and neighborhoods, and subjective ratings such as imageability. Subword structure properties are also available in terms of bigrams and trigrams, biphones, and bisyllables. Lemma and part of speech information and their corresponding frequencies are also indexed. The website enables users either to upload a set of words to receive their properties or to receive a set of words matching constraints on the properties. The properties themselves are easily extensible and will be added over time as they become available. It is freely available from the following website: http:/www.bcbl.eu/databases/espal/
Extremal primes for elliptic curves without complex multiplication
Venue: Proceedings of the American Mathematical Society
Year: 2019

Fix an elliptic curve E over Q. An extremal prime for E is a prime p of good reduction such that the number of rational points on E modulo p is maximal or minimal in relation to the Hasse bound. Assuming that all the symmetric power L functions associated to E are automorphic and satisfy the Generalized Riemann Hypothesis, we give the first non trivial upper bounds for the number of such primes when E is a curve without complex multiplication. In order to obtain this bound, we use explicit equidistribution for the Sato Tate measure as in the work of Rouse and Thorner () and refine certain intermediate estimates taking advantage of the fact that extremal primes have a very small Sato Tate measure.
Comparative accuracy of the AW3D30 DSM, ASTER GDEM, and SRTM1 DEM: A case study on the Zaoksky testing ground, Central European Russia
Year: 2018

Quasi global, medium resolution land surface models the Shuttle Radar Topography Mission digital elevation model (SRTM1 DEM) the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM) and the Advanced Land Observing Satellite World 3D digital surface model (AW3D30 DSM) are widely used in geosciences. We carried out a comparative analysis of accuracy for these models exemplified by the Zaoksky testing ground, Central European Russia. First, we extracted related portions from the SRTM1 DEM, ASTER GDEM, and AW3D30 DSM for the study area. In the further analysis, we used 69 ground control points (GCPs) within the testing ground, as well as a reference DEM photogrammetrically generated from aerial stereo images. For each GCP, we determined an elevation value in four models and a related vertical error. For each model, we carried out a statistical analysis of vertical errors. To visualize the spatial distribution of vertical errors, we calculated matrices of residuals between the reference DEM and the quasi global models. The results demonstrate that the AW3D30 DSM can be considered the most accurate quasi global, medium resolution land surface model. We do not recommend the use of the ASTER GDEM because it is marked by high errors with chaotically distributed hummock like patterns.
19 element 2D honeycomb VCSEL array
Venue: OPTO
Year: 2021

An electrically parallel, optically uncoupled, 19 element 980 nm top surface emitting vertical cavity surface emitting laser (VCSEL) array with inter VCSEL metal and top mesa ridge connectors, processed using a two dimensional honeycomb lattice basis with oxide aperture diameters of ph ~10.5 m per VCSEL exhibits a record combination of continuous wave optical output power (150 mW) 3 dB small signal modulation bandwidth (17 GHz) and wall plug efficiency (30% at a conservative operating bias current density of 10 kA/cm2. To demonstrate the potential of the VCSEL array as an optical source for future fifth generation free space optical communication systems we perform a data transmission test at 25 Gb/s across OM1 multiple mode optical fiber using simple 2 level pulse amplitude modulation and pseudorandom binary patterns of word length 27 1. We achieve a bit rate of 25 Gb/s with a bit error ratio below 1 x 10 12.
Rethinking the Connections Between Campus Courses and Field Experiences in College and University Based Teacher Education
Year: 2010

This article examines a variety of work currently going on across the country in newly created hybrid spaces to more closely connect campus courses and field experiences in university based preservice teacher education. It is argued that the old paradigm of university based teacher education where academic knowledge is viewed as the authoritative source of knowledge about teaching needs to change to one where there is a nonhierarchical interplay between academic, practitioner, and community expertise. It is argued that this new epistemology for teacher education will create expanded learning opportunities for prospective teachers that will better prepare them to be successful in enacting complex teaching practices.
Effect of Wearing the Cosmed K4b2 Metabolic System on 1 Mile Walking Performance in Older Adults
Year: 2009

Effect of Wearing the Cosmed K4b2 Metabolic System on 1 Mile Walking Performance in Older Adults This study examined in older adults the effects of wearing the Cosmed K4b2 metabolic system with face mask during the 1 mile Rockport Fitness Walking Test (RFWT) A randomised cross over design was used (13 males, 12 females, age: 67+ 4 (yrs) Walking time, walking speed and final heart rate were recorded and predicted VO2max calculated. Participants had a constant walking speed during the RFWT (P 0.24) not influenced by wearing the Cosmed K4b2. Using Bland Altman analysis, bias for walking time, heart rate and predicted VO2max was not significant. The predicted VO2max wearing the Cosmed K4b2 was within 0.05+ 0.36 L*min 1. Wearing the Cosmed K4b2 metabolic system with face mask did not influence 1 mile walking performance in older adults. This observation allows the Cosmed K4b2 metabolic system to be used during walking tests in older adults to examine metabolic and physiologic adaptations by controlled exercise interventions.
Deep Discriminative Supervised Hashing via Siamese Network
Venue: IEICE Trans. Inf. Syst.
Year: 2017

The latest deep hashing methods perform hash codes learning and image feature learning simultaneously by using pairwise or triplet labels. However, generating all possible pairwise or triplet labels from the training dataset can quickly become intractable, where the majority of those samples may produce small costs, resulting in slow convergence. In this letter, we propose a novel deep discriminative supervised hashing method, called DDSH, which directly learns hash codes based on a new combined loss function. Compared to previous methods, our method can take full advantages of the annotated data in terms of pairwise similarity and image identities. Extensive experiments on standard benchmarks demonstrate that our method preserves the instance level similarity and outperforms state of the art deep hashing methods in the image retrieval application. Remarkably, our 16 bits binary representation can surpass the performance of existing 48 bits binary representation, which demonstrates that our method can effectively improve the speed and precision of large scale image retrieval systems. key words: hashing, convolutional neural network, siamese network, image retrieval
Resistance training induces qualitative changes in muscle morphology, muscle architecture, and muscle function in elderly postoperative patients.
Venue: Journal of applied physiology
Year: 2008

Although the negative effects of bed rest on muscle strength and muscle mass are well established, it still remains a challenge to identify effective methods to restore physical capacity of elderly patients recovering from hospitalization. The present study compared different training regimes with respect to muscle strength, muscle fiber size, muscle architecture, and stair walking power in elderly postoperative patients. Thirty six patients (60 86 yr) scheduled for unilateral hip replacement surgery due to hip osteoarthritis were randomized to either 1) resistance training (RT: 3/wk x 12 wk) 2) electrical stimulation (ES: 1 h/day x 12 wk) or 3) standard rehabilitation (SR: 1 h/day x 12 wk) All measurements were performed at baseline, at 5 wk and 12 wk postsurgery. After 12 wk of resistance training, maximal dynamic muscle strength increased by 30% at 60 degrees /s (P 0.05) and by 29% at 180 degrees /s (P 0.05) muscle fiber area increased for type I +17% P 0.05) type IIa +37% P 0.05) and type IIx muscle fibers +51% P 0.05) and muscle fiber pennation angle increased by 22% and muscle thickness increased by 15% (P 0.05) Furthermore, stair walking power increased by 35% (P 0.05) and was related to the increase in type II fiber area (r 0.729, P 0.05) In contrast, there was no increase in any measurement outcomes with electrical stimulation and standard rehabilitation. The present study is the first to demonstrate the effectiveness of resistance training to induce beneficial qualitative changes in muscle fiber morphology and muscle architecture in elderly postoperative patients. In contrast, rehabilitation regimes based on functional exercises and neuromuscular electrical stimulation had no effect. The present data emphasize the importance of resistance training in future rehabilitation programs for elderly individuals.
Comparison of experimental methods for determination of moisture in floor screeds
Year: 2008

In the diploma work different floor screeds and demands regarding the screeds are given first. Then the test methods for determination of moisture in porous materials, such as gravimetric method, method with calcium carbide and measurements with GANN equipment, are described and tested mortar or concrete mixes for floor screeds are presented. Beside tests for moisture determination also additional tests carried out on fresh (flow table test and w/c ratio test) and hardened (determination of compressive and flexural strength) tests specimens were carried out. Finally, the obtained results were analysed and correlation between results of different test methods for moisture determination are given, and different mortar or concrete mixes were estimated according to demands and recommendations valid for floor screeds.
A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges
Venue: Toward Social Internet of Things (SIoT) Enabling Technologies, Architectures and Applications
Year: 2019

Internet of Things (IoT) is the most challenging platform that designates the correlation of physical objects in the near future. A wide spectrum of review studies has been conducted to analyze and synthesize the use of IoT and its applications in various domains. Nonetheless, research neglects providing a comprehensive review study regarding the application of IoT in education. Therefore, the main purpose of this study is to highlight the recent progress of employing IoT applications in education and provide various opportunities and challenges for future trials. More specifically, this review study summarizes the prospects of adopting IoT in education, medical education and training, vocational education and training, Green IoT in education, and wearable technologies in education. It is concluded that the adoption of IoT and its applications in developing countries is still in its early stages and further research is highly encouraged.
On multi view texture mapping of indoor environments using Kinect depth sensors
Venue: 2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Year: 2014

At present, research on reconstruction and coloring of 3D models is growing rapidly due to increasing availability of low cost 3D sensing systems. In this paper, we explore coloring of triangular mesh models with multiple color images by employing a multi view texture mapping approach. The fusion of depth and color vision data is complicated by 3D modeling and multi viewpoint registration inaccuracies. In addition, the large amount of camera viewpoints in our scenes requires techniques that process the depth and color vision data efficiently. Considering these difficulties, our primary objective is to generate high quality textels that can also be rendered on a standard hardware setup using texture mapping. For this work, we have made three contributions. Our first contribution involves the application of a visibility map to efficiently identify visible faces. The second contribution is a technique to reduce ghosting artifacts based on a confidence map. The third contribution yields high detail textels by adding the mean color and color histogram information to the sigma outlier detector. The experimental results show that our multi view texture mapping approach efficiently generates high quality textels for colored 3D models, while being robust to registration errors.
PARADIGMA EPISTEMOLOGI INTEGRASI INTERKONEKSI DAN IMPLEMENTASINYA DALAM FILSAFAT PENDIDIKAN ISLAM(STUDI ANALISIS PEMIKIRAN M. AMIN ABDULLAH)
Year: 2015

Dikotomik keilmuan merupakan problem fundamental dalam pendidikan Islam yang bernuansa dualistik. Cara pandang oposisi binner yang menghadapkan posisi ilmu agama dengan sains modern secara parsial dan kontradiktif masih menjadi praktik pendidikan Islam.Selain itu, pendidikan Islam masih belum dapat merespon isu isu aktual dalam perspektif humanities kontemporer. Oleh karenanya, pendidikan Islam perlu mengkonstruksi paradigma baru dalam menghadapi problem demikian. Paradigma baru tersebut ialah epistemologi integratif interkonektif, yang bertujuan untuk menjunjung tinggi etika, harkat dan martabat kemanusiaan universal, sekaligus memperkuat struktur fundamental keilmuan non dikotomik dalam pendidikan Islam. Penelitian ini menggunakan jenis penelitian library research, yakni penelitian yang data datanya diperoleh dari studi pustaka atau literatur terkait, kemudian dianalisis secara teoritis filosofis, disimpulkan dan diangkat relevansinya serta kontekstualisasinya. Pendekatan dalam penelitian ini menggunakan pendekatan filosofis, fenomenologis dan pedagogis. Metode pengumpulan data menggunakan metode dokumentasi. Sedangkan, metode analisis menggunakan metode content analysis, yakni mencoba menafsirkan isi atau gagasan M. Amin Abdullah tentang paradigma integrasi interkoneksi yang kemudian dianalisis dalam konteks pendidikan Islam. Hasil penelitian ini, ialah mengkonstruk pendidikan Islam dengan menggunakan model dan bentuk secara triadik sirkuler hermeneutis konstruksi filsafat pendidikan Islam berparadigma Integratif Interkonektif. Secara ontologis, pendidikan Islam dapat membentuk world view dan pola berpikir sistemik sirkuler, dengan sikap terbuka untuk berdialog dengan perspektif lain. Secara epistemologis, pendidikan Islam dengan pendekatan integratif interkonektif harus memiliki tiga perspektif yakni semipermiable, intersubyektif testability dan creative imagination sebagai critical philosophy dan multiple critic. Dari sinilah budaya falsafah (hadarat al falsafah) dapat mengkonstruk pendidikan Islam berbasis kritis emansipatoris dan liberatif transformatif. Selain itu, dalam pendidikan Islam, harus terdapat muatan muatan ilmu pengetahuan yang meliputi; al ulum al diniyah (hadarat al nash) dan al ulum al kauniyah, dan al ulum al ijtima'iyah w al insaniyah (hadarat al 'ilm) serta perspektif humanities kontemporer yang saling terajut dan terinterkoneksi. Secara aksiologis, pendidikan Islam dalam praktiknya dapat menumbuh kembangkan kesalehan publik, mampu membuka dialog dan kerjasama, dan dapat membuka dan mencairkan hubungan antar berbagai disiplin keilmuan. Disinilah pendidikan Islam dapat merespon problematika sosio kultural kamanusiaan, tuntunan zaman dan perubahan sosial, serta perkembangan sains dan teknologi di era modern dan bahkan post modern.
Exploring the Institutional and Developmental Gaps Associated with RDP houses in South Africa: The Case of a 2011 2013 Study of Golf Course RDP Housing Estate, Eastern Cape Province
Year: 2015

The present study sought to unearth the institutional and developmental gaps associated with RDP houses. The study used mixed methods of both qualitative and quantitative approaches with the qualitative being the dominant approach while the quantitative was less dominant. The researchers utilized an interview guide and a questionnaire as research instruments. The findings from this study revealed that: the waiting period before one was allocated a house was too long; lack of transparency in issuing houses; developmental complaints were not taken seriously such as lack of water and the unavailability of support structures such as clinics and hospitals to deal health issues; and there were inadequate social workers to address innumerable social vices such as gender based violence. These findings compelled these researchers to recommend to the government to enforce transparency with the housing authorities; as well as collaborations with NGOs to ensure that necessary support structures are provided in the estate. It is hoped that this paper forms a platform to convey the institutional and developmental gaps to the policy makers to work towards addressing them.
Node Co occurrence based Dual Quaternion Graph Neural Networks for Knowledge Graph Link Prediction
Year: 2021

We introduce a novel embedding model, named NoGE, which aims to integrate cooccurrence among entities and relations into graph neural networks to improve knowledge graph completion (i.e. link prediction) Given a knowledge graph, NoGE constructs a single graph considering entities and relations as individual nodes. NoGE then computes weights for edges among nodes based on the co occurrence of entities and relations. Next, NoGE proposes Dual Quaternion Graph Neural Networks (Dual QGNN) and utilizes DualQGNN to update vector representations for entity and relation nodes. NoGE then adopts a score function to produce the triple scores. Comprehensive experimental results show that NoGE obtains state of the art results on three new and difficult benchmark datasets CoDEx for knowledge graph completion.
The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review
Venue: Soa ch'ongsonyon chongsin uihak Journal of child adolescent psychiatry
Year: 2019

The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics.  Based on our search and exclusion criteria, we reviewed 13 studies.  To improve the accuracy of outcomes, AI algorithms have been used to identify items in assessment instruments that are most predictive of ASD. Creating a smaller subset and therefore reducing the lengthy evaluation process, studies have tested the efficiency of identifying individuals with ASD from those without. Other studies have examined the feasibility of using other behavioral observational features as potential supportive data.  While previous studies have shown high accuracy, sensitivity, and specificity in classifying ASD and non ASD individuals, there remain many challenges regarding feasibility in the real world that need to be resolved before AI methods can be fully integrated into the healthcare system as clinical decision support systems.