nils-herrmann/clean_scirepeval huggingface dataset:
Low rank matrix factorization with multiple Hypergraph regularizer
Venue: Pattern Recognit.
Year: 2015

This paper presents a novel low rank matrix factorization method, named MultiHMMF, which incorporates multiple Hypergraph manifold regularization to the low rank matrix factorization. In order to effectively exploit high order information among the data samples, the Hypergraph is introduced to model the local structure of the intrinsic manifold. Specifically, multiple Hypergraph regularization terms are separately constructed to consider the local invariance; the optimal intrinsic manifold is constructed by linearly combining multiple Hypergraph manifolds. Then, the regularization term is incorporated into a truncated singular value decomposition framework resulting in a unified objective function so that matrix factorization is changed into an optimization problem. Alternating optimization is used to solve the optimization problem, with the result that the low dimensional representation of data space is obtained. The experimental results of image clustering demonstrate that the proposed method outperforms state of the art data representation methods. We propose a novel low rank matrix factorization method.We incorporate multiple Hypergraph manifold regularization to the matrix factorization.We adopt alternating optimization to solve the optimization problem.
Crustal structure of a Proterozoic craton boundary: East Albany Fraser Orogen, Western Australia, imaged with passive seismic and gravity anomaly data
Year: 2017

We use passive seismic and gravity data to characterize the crustal structure and the crust mantle boundary of the east Albany Fraser Orogen in Western Australia, a Proterozoic orogen that reworked the southern and southeastern margin of the Archean Yilgarn Craton. The crustal thickness pattern retrieved from receiver functions shows a belt of substantially thickened crust that follows the trend of the orogen, but narrows to the southwest. Common conversion point profiles show a clear transition from a wide, symmetric Moho trough in the northeast to a one sided, northwestern Moho dip in the southwest, where the Moho appears to underthrust the craton towards its interior. This change appears to coincide with the inferred trace of the Ida Fault, a major terrane boundary within the Yilgarn Craton. Forward modelling of gravity anomaly data using the retrieved Moho geometry as a geometric constraint shows that a conspicuous, elongated gravity low on the northwestern side of the east Albany Fraser Orogen is almost certainly caused by thickened Archean crust. To obtain a model that resembles the regional gravity pattern the following assumptions are necessary: high density rocks occur in the upper crust of the Fraser Zone, at depth inside the Moho trough and in parts of the eastern Nornalup Zone east of the Moho trough. Although our gravity models do not constrain at which crustal level these high density rocks occur, active deep seismic surveys suggest that large extents of the east Albany Fraser Orogen's lower crust include a Mesoproterozoic magmatic underplate known as the Gunnadorrah Seismic Province. The simplest interpretation of the imaged crustal structure is that the Gunnadorrah Seismic Province is underthrust beneath the Yilgarn Craton, likely as a consequence of crustal shortening during accretion further east. The imaged geometry overall appears to show a wedge of Archean lower crust that was driven between the exhumed Fraser Zone and the Gunnadorrah Seismic Province, effectively splitting the Paleo to Mesoproterozoic crust of the east Albany Fraser Orogen. The vertical splitting of Proterozoic crust by a cratonic crustal wedge, comparable to what we image in this study, may be a process that contributed to forming many craton margins around the world.
Praktyczne aspekty stosowania diety bezglutenowej u osob z choroba trzewna
Year: 2015

Choroba trzewna jest autoimmunologiczna, uwarunkowana genetycznie, trwajaca cale zycie nietolerancja glutenu, prowadzaca w konsekwencji do patologicznych zmian w obrebie blony sluzowej jelita cienkiego. Sposrod 4 postaci celiakii obecnie dominuje postac objawowa nieklasyczna, coraz czesciej rozpoznawana dopiero po 60. roku zycia. Wedlug najnowszych wytycznych The European Society for Paediatric Gastroenterology Hepatology and Nutrition (ESPGHAN) celiakie stwierdza sie na podstawie specjalistycznego testu genetycznego, oznaczenia typowych dla tej choroby przeciwcial i wykonaniu biopsji dwunastnicy. W niektorych, scisle okreslonych przypadkach, mozna pominac ostatni punkt diagnostyki. W przypadku celiakii lekarz rodzinny odgrywa bardzo wazna role we wstepnym jej rozpoznaniu i nastepnie we wspolpracy z gastroenterologiem w odpowiednim leczeniu. W ostatnim czasie pojawilo sie wiele prac badawczych dotyczacych nowych metod leczenia, ale sa one ciagle w fazie eksperymentalnej. Nadal podstawowa i sprawdzona forma leczenia jest scisla, odpowiednio prowadzona dieta bezglutenowa. Jak wskazuja wyniki najnowszych badan, pacjenci czesto maja problem z rozpoznawaniem zrodel glutenu i nieswiadomie przekraczaja dzienna dopuszczalna ilosc tego bialka w diecie. Wiaze sie to z ryzykiem wystapienia wielu powiklan, takich jak osteoporoza, wady zgryzu, zapalenie kacikow ust, zaburzenia funkcji watroby, nowotwory rak gruczolowy jelita cienkiego, rak jamy ustnej, przelyku, dwunastnicy i jelita grubego. Szczegolna grupa wiekowa sa dzieci, u ktorych przewlekle niedozywienie spowodowane zapaleniem blony sluzowej jelita cienkiego zaburza wzrost i dojrzewanie calego organizmu. Bardzo wazna jest rowniez odpowiednia edukacja pacjenta skorelowana ze wsparciem ze strony psychologa, niekiedy nawet psychiatry.
Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Year: 2019

Modern entity linking systems rely on large collections of documents specifically annotated for the task (e.g. AIDA CoNLL) In contrast, we propose an approach which exploits only naturally occurring information: unlabeled documents and Wikipedia. Our approach consists of two stages. First, we construct a high recall list of candidate entities for each mention in an unlabeled document. Second, we use the candidate lists as weak supervision to constrain our document level entity linking model. The model treats entities as latent variables and, when estimated on a collection of unlabelled texts, learns to choose entities relying both on local context of each mention and on coherence with other entities in the document. The resulting approach rivals fully supervised state of the art systems on standard test sets. It also approaches their performance in the very challenging setting: when tested on a test set sampled from the data used to estimate the supervised systems. By comparing to Wikipedia only training of our model, we demonstrate that modeling unlabeled documents is beneficial.
Percepciones de las familias inmigrantes latinoamericanas en Espana sobre el espacio educativo: giro dialogico decolonial
Year: 2017

The dialogic turn, characteristic of today's complex society, is changing the way how we work in the socio educational field with people at risk of social exclusion. This change has extended to its research. Latin American immigrant population in Europe, especially women and children, is part of this group. From this principle, the study analyzes the communicative processes of Latin American families in educational areas, reaching six categories of analysis and distinguishing whether these interactions generate exclusionary or transformative dynamics. Thirty people from six countries in Latin America participated. It begins from a qualitative critical communicative methodology, as a way of optimizing options to overcome the inequalities produced by the western neoliberal thought about decolonialism
Explaining durable diversity in international systems: State, company, and empire in the indian ocean
Year: 2015

International Relations theories generally hold that increased interaction between units in an international system produces convergence in their forms through military competition, institutional emulation, or normative socialization. In contrast, we argue that diverse international systems can endure despite increasing interaction. The early modern Indian Ocean international system hosted a variety of statist, corporate, and imperial polities. Diversity endured for three reasons. First, powerful foreign and local actors held differing maritime and land oriented preferences for conquest, which created the potential for coexistence between unlike polities. Second, congruent European and Asian ideas of heteronomy facilitated durable polity diversity. Third, strategies of localization enhanced enmeshment. Convergence on common polity forms failed to occur despite the presence of a statist model during this period. Subsequently, a reconfigured form of diversity under colonial empires succeeded this order. Greater attention to past diverse systems coheres with recent calls to study history to better understand not only contemporary instances of international hierarchy, but also unbundled and shared sovereignty regimes
Pretrained Semantic Speech Embeddings for End to End Spoken Language Understanding via Cross Modal Teacher Student Learning
Venue: INTERSPEECH
Year: 2020

Spoken language understanding is typically based on pipeline architectures including speech recognition and natural language understanding steps. These components are optimized independently to allow usage of available data, but the overall system suffers from error propagation. In this paper, we propose a novel training method that enables pretrained contextual embeddings to process acoustic features. In particular, we extend it with an encoder of pretrained speech recognition systems in order to construct end to end spoken language understanding systems. Our proposed method is based on the teacher student framework across speech and text modalities that aligns the acoustic and the semantic latent spaces. Experimental results in three benchmarks show that our system reaches the performance comparable to the pipeline architecture without using any training data and outperforms it after fine tuning with ten examples per class on two out of three benchmarks.
Observatorio Cultural Urbano "Oraculos de la ciudad"
Year: 2011

El objetivo principal de nuestro proyecto es la elaboracion de un modulo tematico llamado "Oraculos de la ciudad" dentro de la pagina web http:/www.ocu.ec (ya existente) que de a conocer las realidades antropologicas, sociologicas y comunicacionales de la adivinacion en la ciudad de Guayaquil. La investigacion realizada para el desarrollo del proyecto, se dividio en dos etapas. La primera, estuvo dirigida en comprobar si la practica adivinatoria de la cartomancia es la mas conocida dentro de la sociedad guayaquilena, que es nuestro grupo objetivo primario, e identificar a las brujas mas famosas que realizan esta practica. La segunda, se enfoco en indagar en la adivinacion y cartomancia para concebir la diversidad de contrastes existentes dentro de esta rama adivinatoria desde su densidad antropologica. Nuestro proyecto tiene la intencion de que se valore la cultura de la adivinacion y que los contenidos que se evidencien en la pagina web, ademas de exponer las distintas perspectivas de los clientes, brujos, sociologos y psicologos para que sean accesibles para la sociedad; contribuyan a estimular el crecimiento y enriquecimiento cultural de los guayaquilenos por medio de la informacion publicada e iniciativas de academicos en continuar con estudios posteriores que complementen las ideas sobre el tema.
Exploring the Value of Peer Feedback in Online Learning for the Provider.
Year: 2017

This paper reviews studies of peer feedback from the novel perspective of the providers of that feedback. The possible learning benefits of providing peer feedback in online learning have not been extensively studied. The goal of this study was therefore to explore the process of providing online peer feedback as a learning activity for the provider. We concluded that (1) providing online peer feedback has several potential learning benefits for the provider; (2) when providing online peer feedback, students use different cognitive processes; (3) the cognitive processes and the potential learning benefits can be realised when students use specific elements in the feedback they provide.
Employee satisfaction, human resource management practices and competitive advantage
Venue: European Journal of Management and Business Economics
Year: 2019

The purpose of this paper is to explore the impact of human resource (HR) management practices on achieving competitive advantage through studying the mediating role of employee satisfaction in the context of five star hotels in Northern Cyprus.  To produce numeric data as well as to test the hypothesis, the researchers employed structural equation modeling and AMOS. The testing included (n=439) questionnaires. The model suggested by the authors examined the tourism sector, and in particular, five star hotels located in Northern Cyprus.  The main research findings revealed that HR practices had a significant effect on competitive advantage. By comparison, the research findings revealed that the mediator variable had no effect on achieving competitive advantage for five star hotels in Northern Cyprus.  This study demonstrates originality by responding to the recommendations of prior studies conducted on HR in Northern Cyprus Island. This makes a theoretical contribution to the field, since only Turkey recognizes Northern Cyprus, which makes conducting research on this country a challenge for researchers worldwide. Based on this study's outcomes, this paper discusses its theoretical and practical implications, as well as recommendations for future research.
Towards a circular metal additive manufacturing through recycling of materials: A mini review
Year: 2020

Additive manufacturing is a new emerging technology which is ideal for low to zero waste production, and it is considered to be a green and clean process that has the potential to lower the cost and energy consumption of production. However, the cost of the feedstock for additive manufacturing and the additive manufactured parts is usually very high, which hinders the further application of additive manufacturing, especially for the metal additive manufacturing. The concept of circular metal additive manufacturing involves the recycling of the metal feedstock and the additive manufactured parts leading to the truly zero waste production and the most energy saving. This paper reviews the technologies that help the formation of a circular metal additive manufacturing through recycling of the feedstocks and the damaged metal parts. Reactive metals, such as titanium, tend to be contaminated easily during handling and production. Recycling of the titanium for achieving a circular titanium additive manufacturing is reviewed in detail.  Qi Shi Jin Shu Zeng Cai Zhi Zao De Jin Yi Bu Gong Ye Ying Yong Xun Huan Jin Shu Zeng Cai Zhi Zao De Gai Nian She Ji Dao Jin Shu Yuan Liao He Ling Bu Jian De Hui Shou Li Yong Cong Er Shi Xian Zhen Zheng De Ling Fei Wu Chan Sheng He Zui Da Cheng Du De Neng Liang Jie Sheng Ben Wen Zong Shu Liao Tong Guo Xun Huan Li Yong Zeng Cai Zhi Zao Guo Cheng Zhong De Jin Shu Yuan Liao He Jin Shu Ling Jian Xing Cheng Xun Huan De Jin Shu Zeng Cai Zhi  Fen Mo Chu Li He Sheng Chan Guo Cheng Zhong Hen Rong Yi Bei Wu Ran Ben Wen Xiang Xi Jie Shao Liao Tai Cai Zeng Cai Zhi Zao Guo Cheng Zhong Jin Shu Tai De Zong He Li Yong
Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention
Venue: Nature Reviews Gastroenterology Hepatology
Year: 2018

NAFLD is one of the most important causes of liver disease worldwide and will probably emerge as the leading cause of end stage liver disease in the coming decades, with the disease affecting both adults and children. The epidemiology and demographic characteristics of NAFLD vary worldwide, usually parallel to the prevalence of obesity, but a substantial proportion of patients are lean. The large number of patients with NAFLD with potential for progressive liver disease creates challenges for screening, as the diagnosis of NASH necessitates invasive liver biopsy. Furthermore, individuals with NAFLD have a high frequency of metabolic comorbidities and could place a growing strain on health care systems from their need for management. While awaiting the development effective therapies, this disease warrants the attention of primary care physicians, specialists and health policy makers.
A Two Stream Siamese Convolutional Neural Network for Person Re identification
Venue: 2017 IEEE International Conference on Computer Vision (ICCV)
Year: 2017

Person re identification is an important task in video surveillance systems. It can be formally defined as establishing the correspondence between images of a person taken from different cameras at different times. In this paper, we present a two stream convolutional neural network where each stream is a Siamese network. This architecture can learn spatial and temporal information separately. We also propose a weighted two stream training objective function which combines the Siamese cost of the spatial and temporal streams with the objective of predicting a person's identity. We evaluate our proposed method on the publicly available PRID2011 and iLIDS VID datasets and demonstrate the efficacy of our proposed method. On average, the top rank matching accuracy is 4% higher than the accuracy achieved by the cross view quadratic discriminant analysis used in combination with the hierarchical Gaussian descriptor (GOG+XQDA) and 5% higher than the recurrent neural network method.
Influence of Voltage System Level to the dimensions and performance of Squirrel Cage Induction Motor Three Phase 50Hz 5HP for Electric Vehicles
Venue: 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
Year: 2019

The transport industry is Indonesia's largest consumer of fossil energy. Electric vehicle (EV) is an attempt to decrease the use of fossil fuels. Types of electric motor often used is an induction motor. In this paper, the parameter design and performance of squirrel cage induction motor 5 HP for EVs are investigated by changing the voltage system, 48 V for low voltage system and 360 V for high voltage system. The design process is performed using simulation software. With the same design factor, main dimensions of two voltage system designs have same size. The different design located on stator winding and slot. In stator winding, wire gauge diameter and number conductors per slot are different. In stator slot, low voltage system needs a wider slot than the higher voltage system. The performance from ANSYS Maxwell simulation of high voltage and low voltage induction motor three phase frequency 50 Hz output 5 HP for golf cart electric vehicles voltage system does not have a significant difference. The two design have efficiency, power factor, rated torque and slip about 87% 0.93, 24.5 Nm and 3%
Model Predictive Control for Path Tracking with PID Speed Control Considering Minimum time Speed Profile Design
Year: 2019

In this report, we implemented a model predictive control (MPC) strategy for path tracking and PID control for speed tracking to ensure the autonomous vehicle follows a desired path (an 8 shaped curve and speed profile. In addition, we generated a minimum time speed profile as the speed reference for the vehicle to track the path as fast as possible. In the simulation, we considered three cases for the speed reference: Case A the longitudinal velocity is constant at 10m/s; Case B the longitudinal velocity is varied along the curved path; and, Case C designing a minimum time travel speed profile. For the path tracking, we used MPC controller to generate the optimal front wheel steering angle; for the speed tracking, we used a PID controller embedded in the model predictive control to generate the total accelerating or braking wheel torque. The front wheel steering angle and total wheel torque are passed simultaneously to the plant as inputs to calculate the vehicle state. The simulation results of tracking performance in these three cases are presented and compared with the reference objectives. The tracking errors between the plant and the objectives, such as the heading angle 'ps' the lateral displacement 'Y of vehicle center of mass (C.M. and the speed, are relatively small. The work presented here draws on MPC concepts introduced earlier  and goes one step beyond the studies reported in [3,4] To that end, it uses three vehicle models discussed in
Loyalty Improvement of Indonesian Local Brand Fashion Customer Based on Customer Lifetime Value (CLV) Segmentation
Venue: IOP Conference Series: Materials Science and Engineering
Year: 2019

There has been a significant growth of internet users over the past decade in Indonesia. The growth of internet users is followed by the growth of digital buyers. Most digital buyers in Indonesia make some transactions to purchase clothing which explains the phenomenon of e commerce fashion growth. This study aims to identify the loyalty level of an electronic customer based on Customer Lifetime Value (CLV) of the customer segmentation and design the CLV improvement. Customer segmentation performed using the K means algorithm and RFM analysis. This paper used 3 transaction datasets from 3 different local brand fashion e commerce in Indonesia. This study found five customer segmentations according to CLV ratings as the best, valuable, potentially valuable, average, and potentially invaluable customer. Maintaining customer convenience while doing the transaction and improving service quality and customer trust are the keys to retaining potentially valuable, average, and potentially invaluable customers
Language as a source of abstract concepts: Comment on "Words as social tools: Language, sociality and inner grounding in abstract concepts" by Anna M. Borghi et al.
Venue: Physics of life reviews
Year: 2019

Borghi et al.'s ambitious contribution  covers a lot of ground: they delineate types of abstract concepts, review theories of word learning, relate abstractness to modality effects in learning and recognition, and most importantly, advance the argument that words are "social tools" that facilitate (or more strongly, enable) the learning of abstract concepts. I agree with Borghi et al. that we need to focus on language for understanding how we learn abstract concepts. But I worry that in framing the Words as Tools theory so firmly in the "embodied and grounded" approach to cognition (to which I am generally sympathetic) the theory risks being overlooked by researchers who do not already subscribe to this approach. Therefore, I would like to highlight the main reason why I think it is so important to look to language to understand abstract concepts, even for someone who does not embrace the embodied view. Briefly, words allow us to chunk sensory inputs in a way that is not possible by relying on (nonlinguistic) perception and action alone. In neural network terms, words are "targets" that supervise category learning.