nils-herrmann/clean_scirepeval huggingface dataset:
Customising Android Automated Testing Framework To Enable Native Hardware And Software Support
Year: 2013

Android development tools and frameworks, as well as, cost effective testing techniques are becoming essential to guarantee the development of secure, high quality Android applications, which are the necessity of today's world. This paper deals with the difficulty of automatic testing of mobile applications developed for the Google Android platform, and presents a technique for quick crash testing and regression testing of Android applications. The proposed technique is based on a crawler that automatically builds a model of the application GUI and obtains test cases that can be automatically executed. The technique is supported by a tool for both crawling the application and generating the test cases. This paper presents an example of using the technique and the tool, for testing a real small size Android application that preliminary shows the effectiveness and usability of the projected testing approach.
Understanding the patterns of market orientation among small businesses
Year: 2006

To assess the patterns of market orientation within the small business sector. After a pilot study involving interviews with owner managers, and covert and overt observation of small businesses' marketing practices, depth interviews by telephone and face to face were conducted in one state of the USA. Data, collected in the form of protocols and means end maps for individual owner managers, were analyzed by inductive reasoning. The study confirmed the appropriateness of the market orientation framework for the small business sector. Findings included a distinctive "marketing style" (strong emphasis on customer care and employee welfare; motivation; and market intelligence) related to size of the firms surveyed, the personality of the owner manager, the available resources and the nature of the operating environment. Despite absence of a formal approach to market research and marketing planning, this "style" was found to have a positive effect on margins and.
Micro Foundation Investigation of Price Manipulation in Indonesian Capital Market
Year: 2020

An analysis of all intraday trades in the Jakarta Stock Exchange during 2003 2004 indicates that more than half of them are "manipulated" by principal stockbrokers. Consequently, they can earn between 59% and 92% more annually than intermediary stockbrokers, which depend heavily on their investment patterns as well as firm's characteristics. Specifically, our regression results suggest that with increases in their degree of principalness (PRIN) stockbrokers with a greater trade imbalance earn more at the expense of outside investors, even though this effect diminishes as PRIN increases. Moreover, firms that suffer the most from stockbrokers' inappropriate behavior have large market capitalization or high stock liquidity.
Lazily Aggregated Quantized Gradient Innovation for Communication Efficient Federated Learning.
Venue: IEEE transactions on pattern analysis and machine intelligence
Year: 2020

This paper focuses on communication efficient federated learning problem, and develops a novel distributed quantized gradient approach, which is characterized by adaptive communications of the quantized gradients. Specifically, the federated learning builds upon the server worker infrastructure, where the workers calculate local gradients and upload them to the server; then the server obtain the global gradient by aggregating all the local gradients and utilizes it to update the model parameter. The key idea to save communications from the worker to the server is to quantize gradients as well as skip less informative quantized gradient communications by reusing previous gradients. Quantizing and skipping result in 'lazy' worker server communications, which justifies the term Lazily Aggregated Quantized (LAQ) gradient. Theoretically, the LAQ algorithm achieves the same linear convergence as the gradient descent in the strongly convex case, while effecting major savings in the communication in terms of transmitted bits and communication rounds. Empirically, extensive experiments using realistic data corroborate a significant communication reduction compared with state of the art gradient and stochastic gradient based algorithms.
An analysis of the suitability of a low cost eye tracker for assessing the cognitive load of drivers.
Venue: Applied ergonomics
Year: 2018

This paper presents a driving simulator study in which we investigated whether the Eye Tribe eye tracker (ET) is capable of assessing changes in the cognitive load of drivers through oculography and pupillometry. In the study, participants were asked to drive a simulated vehicle and simultaneously perform a set of secondary tasks with different cognitive complexity levels. We measured changes in eye properties, such as the pupil size, blink rate and fixation time. We also performed a measurement with a Detection Response Task (DRT) to validate the results and to prove a steady increase of cognitive load with increasing secondary task difficulty. The results showed that the ET precisely recognizes an increasing pupil diameter with increasing secondary task difficulty. In addition, the ET shows increasing blink rates, decreasing fixation time and narrowing of the attention field with increasing secondary task difficulty. The results were validated with the DRT method and the secondary task performance. We conclude that the Eye Tribe ET is a suitable device for assessing a driver's cognitive load.
UniProt: a worldwide hub of protein knowledge
Venue: Nucleic Acids Res.
Year: 2019

The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC BY (4.0) license via the web at
Pengaruh Family Psychoeducation terhadap Beban dan Kemampuan Keluarga dalam Merawat Klien Halusinasi di Kabupaten Bantul Tahun 2007
Year: 2016

Mental dosorder in brief range of time and surely long range, will result the burden client, family and also state. The aim of this research is to know the influence of Family Psychoeducation toward family abilities and burdens to care of clients with hallucination. This research uses quantitative method with experimental quasi approaching. This research was take on 4 Public Health Center (Puskesmas) at Bantul District that are Puskesmas Kasihan 1, Kasihan 2, Sewon 1 and Imogiri 1. Samples was taken by used simple random sampling as much 28 samples for control intervention groups Data collected by using questionnaire and intervention modul that is FPE. Data analyzed by using chi square and paired test, withp value result 0,05. The Result of this research influenced of FPE, which are decreasing burden and increasing family abilities to care of clients with hallucination. Also concluded that characteristics of the family and client are not as confounding variable. The result of the research is recommend the health services of Puskesmas to facilitate application FPE for families, which have member suffering mental disorder Gangguan jiwa dalam kurun waktu singkat apalagi jangka panjang, akan mengakibatkan beban pada klien, keluarga serta negara. Penelitian ini bertujuan untuk mengetahui pengaruh Family Psychoeducation terhadap beban dan kemampuan keluarga dalam merawat klien dengan halusinasi. Penelitian ini menggunakan metode kuantitatif dengan pendekatan kuasi eksperimen. Tempat penelitian dilakukan di 4 Puskesmas di Kabupaten Bantul yaitu Puskesmas Kasihan 1, Kasihan 2, Sewon 1 dan Imogiri 1. Cara pengambilan sampel dengan menggunakan simple random sampling dengan sampel sebanyak 28 untuk kelompok kontrol dan intervensi. Data dikumpulkan dengan kuesioner dan modul intervensi yaitu Family Psychoeducation. Analisa data menggunakan chi square dan paired t test, dengan hasil p value 0,05. Hasil penelitian ini menunjukkan adanya pengaruh Family Psychoeducation yaitu penurunan beban dan peningkatan kemampuan keluarga dalam merawat klien dengan halusinasi. Selain itu didapatkan bahwa karakteristik keluarga dan klien tidak menjadi variabel konfonding. Rekomendasi penelitian ini terutama ditujukan kepada pelayanan kesehatan di puskesmas agar menfasilitasi untuk penerapan family psychoeducation bagi keluarga yang memiliki anggota keluarga yang mengalami gangguan jiwa.
Implications of surface passivation on physicochemical and bioimaging properties of carbon dots
Year: 2014

The prevalence of surface functionalized carbon dots (CDs) with intriguing fluorescence properties has given a new dimension to the field of bioimaging and is perceived as a promising alternative to quantum dots (QDs) In the present work, polyethylene glycol (PEG) and polyethyleneimine (PEI) passivated CDs have been synthesized by one step hydrothermal carbonization of chitosan. We have made a comparative analysis of the physicochemical and bioimaging properties of PEI based carbon dots (CD PEI) and PEG based carbon dots (CD PEG) This article further provides an insight into the role of surface functionality in controlling the bioimaging efficiencies of CDs. The concentration dependent cytotoxic effects of CD PEI and CD PEG were studied on normal (BHK 21) and cancer (A549) cell lines and we explored the competitive performance of CD PEI compared to CD PEG for bio applications.
The Dual Dependency of Natural Resource Rich Labor Markets in Contemporary Society
Year: 2021

This article presents an integrative theoretical framework of subnational natural resource dependence. I argue that rural natural resource dependence represents a special case of the core periphery relationship, where rural, resource rich labor markets form a dual dependency on both the global capitalist economy and the local natural environment. This occurs because the contradiction between spatially fixed natural resources and the mobility of capital prompts both external interests and local power elites to use their power to pressure rural labor markets in directions outside their best interest and to exploit rural labor. I argue that both extractive (e.g. mining, timber, agriculture) and nonextractive (e.g. tourism, real estate) forms of natural resource development share this contradiction. Although pushing different uses of the resource base, extractive and nonextractive development do not fundamentally vary in their exploitative relationship with rural labor markets.
Performance Evaluation of SIFT FLANN and HAAR Cascade Image Processing Algorithms for Object Identification in Robotic Applications
Year: 2018

In this paper we present two different algorithms for applications based on image processing for a robotic arm. For feature extraction Scale Invariant Feature Transform (SIFT) algorithm is applied and for local feature matching, the Fast Library for Approximate Nearest Neighbors (FLANN) is applied to match the query image and reference image in data set. This paper also presents a method of image analysis by means of the wavelets HAAR spectrum. It discusses about the algorithm in which the input frame is compared with data base. It converts BGR values to HSV after which it identifies the contour of object using several iteration process. The performances of both the algorithms are compared based on the time consumption and accuracy. The SIFT algorithm, which provides feature extraction and Flann, which provides feature matching with reference to the training image, when combined would identify the desired object from the input image. The HAAR classifier is based on a database with many images which consists of positive and negative samples. The algorithm runs on image iteration with the database and identifies the desired object from the input image. Size of the database is proportional to the accuracy of the function implemented through HAAR classifier algorithm.  SIFT, Flann, HAAR classifier, positive and
Redes de colaboracion entre dramaturgos en el teatro espanol del Siglo de Oro: nuevas perspectivas digitales
Year: 2019

This article proposes a method, based on the theory of nets or graphs, for analysing the social relations established between the Golden Age playwrights who take part in the composition of plays in collaboration. We pretend to achieve general conclusions on the operation of the net of authors, the position and importance of these in the context of the group, the relations established between them, the different communities that emerge and their operation. The results of this analysis will offer a visual representation of the data on the net in form of a graph. The visualization of nets helps us to show patterns of relation or communities that is not possible to determine if we studied the texts of individual form and, therefore, to propose conclusions from the information extracted of big groups of texts or historical documentation.
Zurich Model Revisited validation of the model of different forms of work satisfaction
Year: 2017

Job satisfaction is one of the most prominent working models of occupational and organizational psychology. So far, job satisfaction has been operationalized mainly as a one dimensional model; this not only repeatedly led to mistakes but also to excessively positive judgements of the job satisfaction. The necessity to see the creation of job satisfaction as a much more complex process was taken into account by the Model of Different Forms of Work Satisfaction (Zurich Model) (Zurcher Modell der Arbeitszufriedenheit) (Bruggemann 1974; Bruggemann 1976) The present article describes the empirical and theoretical evolution of this extensive model into the "Zurich Model Revisited" which offers the scientific basis for developing an innovative questionnaire (Ferreira, submitted 2017).We are using cluster analyses to show that the previous subdivision of the first major variable (comparison of actual work situation and expectations) into only two groups (congruent and negatively discrepant) is not sufficient, but that there is a third group of workers who get more in their job than they expect (positively discrepant) Based on those results we propose to enlarge the Zurich Model onto totally 36 meaningful types of job satisfaction by exploiting all theoretically possible combinations of the four major variables.ZusammenfassungArbeitszufriedenheit ist eines der am meisten beachteten Konstrukte der Arbeits und Organisationspsychologie. Bisher wurde Arbeitszufriedenheit vor allem als unidimensionales Konstrukt operationalisiert; dies hat nicht nur immer wieder zu Fehleinschatzungen gefuhrt, sondern auch zu ubermassig positiven Einschatzungen der Arbeitszufriedenheit. Der Notwendigkeit, den Prozess der Entstehung von Arbeitszufriedenheit deutlich komplexer zu betrachten, trug das Model of Different Forms of Work Satisfaction (Zurcher Modell der Arbeitszufriedenheit) Rechnung (Bruggemann 1974) Der vorliegende Artikel beschreibt die empirische und theoretische Weiterentwicklung dieses umfangreichen Modells zum Zurich Model Revisited und damit die wissenschaftliche Basis fur die Entwicklung eines innovativen Fragebogens.Wir setzen Clusteranalysen ein, um zu zeigen, dass die bisherige Unterteilung der ersten Kernvariablen (Soll Ist Wert Vergleich zwischen Arbeitssituation und Erwartungen) in nur zwei Gruppen (kongruent und negativ diskrepant) nicht ausreichend ist, sondern dass es eine dritte Gruppe von Arbeitnehmer/ innen gibt, die an ihrem Arbeitsplatz mehr erhalten als sie erwarten (positiv diskrepant) Wir schlagen auf Basis dieser Ergebnisse vor, dass das Zurich Model durch die Ausschopfung aller theoretisch moglichen Kombinationsmoglichen der vier Kernvariablen auf insgesamt 36 sinnvolle Arbeitszufriedenheitstypen erweitert werden soll.
?Que opina el alumnado de primaria sobre el uso de rutinas del pensamiento como instrumento de evaluacion formativa?
Venue: Revista Infancia, Educacion y Aprendizaje
Year: 2019

Las metodologias de ensenanza denominadas activas necesitan de una evaluacion congruente con el nuevo rol que se asigna al alumnado en su proceso de aprendizaje. El objetivo de esta experiencia educativa es analizar las opiniones del alumnado respecto al uso de un sistema de evaluacion formativa y compartida mediante rutinas del pensamiento para evaluar un proyecto de aprendizaje, ya que es la primera vez que se lleva a cabo en el aula. Para ello, se ha seguido la metodologia cualitativa y un diseno de estudio de caso. Los participantes han sido 20 estudiantes de 6o curso de Educacion Primaria. Los resultados revelan que los estudiantes prefieren la evaluacion formativa y compartida y consideran que es un proceso mas justo y aprenden mas. En conclusion, la evaluacion formativa y compartida mediante rutinas de pensamiento es valorada por el alumnado de forma muy positiva.
Identifying Cognitive Profiles in Blended Learning using the Multiple Intelligences Theory
Venue: 2019 IEEE Frontiers in Education Conference (FIE)
Year: 2019

This Innovative Practice Full Paper presents the use of the project based learning methodology anchored to the multiple intelligences cognitive theory applied to an introductory course in informatics for engineering majors in blended learning. This course is mandatory for fourteen majors of all areas, as Civil, Mechanic and Production Engineering, but also Natural Sciences, Agronomy and Managing, making very hard for the teachers to explore the same content with very diverse majors' and students' profiles. In this context, we discuss the results for this last change in the course. For that aim, we conducted an exploratory case study to have a diagnostic students' behavior and some cognitive insights for identifying cognitive profiles, achieved by an analysis conducted using the algorithm k means to find the emerging clusters and further exploited with the definition of strategies for identification cognitive profiles.
Geographic Effects on Vehicle Reliability: Developing Proportional Hazards Models for a Deployable Military Vehicle
Year: 2014

Unlike many industries that have their equipment in one location with consistent usage patterns, armies move their vehicles between different geographic locations with varying environmental, and usage conditions. This creates interesting conditions for study, as those geographic changes can be studied to detect their effect on system reliability. Unfortunately, this is not being fully exploited, due in part to the poor capture and storage of information, a problem faced by many operators of maintenance databases. This thesis develops a method to characterize failure data contained in a maintenance database using a standardized naming system, and applies a proportional hazards model for each geographic location using covariates to represent the conditions. In addition to understanding how a system has performed, the proportional hazards model will allow geographic location factors to be used in predicting system reliability and spares parts requirements in a new location.
Olivocochlear efferent contributions to speech in noise recognition across signal to noise ratios.
Venue: The Journal of the Acoustical Society of America
Year: 2019

The medial olivocochlear (MOC) efferent system modifies cochlear output to aid signal detection in noise, but the precise role of efferents in speech in noise understanding remains unclear. The current study examined the contribution of the MOC reflex for speech recognition in noise in 30 normal hearing young adults (27 females, mean age 22.7 yr) The MOC reflex was assessed using contralateral inhibition of transient evoked otoacoustic emissions. Speech in noise perception was evaluated using the coordinate response measure presented in ipsilateral speech shaped noise at signal to noise ratios (SNRs) ranging from 12 to 0 dB. Performance was assessed without and with the presence of contralateral noise to activate the MOC reflex. Performance was significantly better with contralateral noise only at the lowest SNR. There was a trend of better performance with increasing contralateral inhibition at the lowest SNR. Threshold of the psychometric function was significantly correlated with contralateral inhibition. Response time on the speech task was not significantly correlated with contralateral inhibition. Results suggest that the MOC reflex contributes to listening in low SNRs and the relationship between the MOC reflex and perception is highly dependent upon the task characteristics.
Associations between body condition score, locomotion score, and sensor based time budgets of dairy cattle during the dry period and early lactation.
Venue: Journal of dairy science
Year: 2021

Lameness, one of the most important disorders in the dairy industry, is related to postpartum diseases and has an effect on dairy cow welfare, leading to changes in cows' daily behavioral variables. This study quantified the effect of lameness on the daily time budget of dairy cows in the transition period. In total, 784 multiparous dairy cows from 8 commercial Dutch dairy farms were visually scored on their locomotion (score of 1 5) and body condition (score of 1 5) Each cow was scored in the early and late dry period as well as in wk 4 and 8 postpartum. Cows with locomotion scores 1 and 2 were grouped together as nonlame, cows with score 3 were considered moderately lame, and cows with scores 4 and 5 were grouped together as severely lame. Cows were equipped with 2 types of sensors that measured behavioral parameters. The leg sensor provided number of steps, number of stand ups (moving from lying to standing) lying time, number of lying bouts, and lying bout length. The neck sensor provided eating time, number of eating bouts, eating bout length, rumination time, number of rumination bouts, and rumination bout length. Sensor data for each behavioral parameter were averaged between 2 d before and 2 d after locomotion scoring. The percentage of nonlame cows decreased from 63% in the early dry period to 46% at 8 wk in lactation; this decrease was more severe for cows with higher parity. Cows that calved in autumn had the highest odds for lameness. Body condition score loss of >0.75 point in early lactation was associated with lameness in wk 4 postpartum. Moderately lame cows had a reduction of daily eating time of around 20 min, whereas severely lame cows had a reduction of almost 40 min. Similarly, moderately and severely lame dry cows showed a reduction of 200 steps/d, and severely lame cows in lactation showed a reduction of 600 steps/d. Daily lying time increased by 26 min and lying bout length increased by 8 min in severely lame cows compared with nonlame cows. These results indicate a high prevalence of lameness on Dutch dairy farms, with an increase in higher locomotion scores from the dry period into early lactation. Time budgets for multiparous dairy cows differed between the dry period and the lactating period, with a higher locomotion score (increased lameness) having an effect on cows' complete behavioral profile. Body condition score loss in early lactation was associated with poor locomotion postpartum, whereas lameness resulted in less eating time in the dry period and early lactation, creating a harmful cycle.