nils-herrmann/clean_scirepeval huggingface dataset:
The Product Owner in Large Scale Agile: An Empirical Study Through the Lens of Relational Coordination Theory
Venue: XP
Year: 2019

In agile software development, a core responsibility of the product owner (PO) is to communicate business needs to the development team. In large scale agile software development projects, many teams work toward an overall outcome, but they also need to manage interdependencies and coordinate efficiently. In such settings, POs need to coordinate knowledge about project status and goal attainment both within and across the development teams. Previous research has shown that the PO assumes a wide set of roles. Still, our knowledge about how POs coordinate amongst themselves and with their teams in large scale agile is limited. In this case study, we explore PO coordination in a large scale development program through the theoretical lens of Relational Coordination Theory. Our findings suggest that (1) coordination varies depending on the context of each PO, (2) a focus on achieving high quality communication changes coordination over time, and (3) unscheduled coordination enables of high quality communication.
Analisis Hubungan Kesadaran Keamanan, Privasi Informasi, Dan Perilaku Keamanan Pada Para Pengguna Media Sosial Line
Year: 2017

LINE merupakan aplikasi pengirim pesan yang dapat dioperasikan diberbagai platform termasuk notebook, tablet, dan komputer. Menyadari keberadaan LINE sebagai aplikasi yang besar dan memiliki jutaan pengguna, LINE sering kali dijadikan sebagai media perbuatan yang tidak normatif dan dijadikan sebagai lahan mencari keuntungan tertentu secara sepihak oleh para pelaku tindak kejahatan berbasis jejaring internet (cyber crime) Penelitian ini bertujuan untuk menganalisis lebih mendalam mengenai faktor apa saja yang memengaruhi perilaku keamanan pada pengguna LINE. Model penelitian ini terdiri dari 8 konstruk. Adapun konstruk model terdiri dari Security Awareness, Self Effiacy in Information Security, Expectation, Security Behavior, Cues to Action, Perceived Susceptibility/Perceived Severity, Perceived Security Threat, dan Internet Users Information Privacy Concerns. Konstruk model penelitian yang digunakan mengkombinasikan konstruk atau variabel hasil penelitian dari Edwards (2015) yaitu Security Belief Model dan penelitian dari Malhotra et al (2004) yaitu Internet Users'information Privacy Concerns. Analisis data pada penelitian ini bersumber pada hasil kuesioner yang dibagikan pada para pengguna LINE. Analisis korelasi dan kekuatan korelasi antara variabel laten atau konstruk menggunakan Structural Equation Modeling (SEM) Structural Equation Modeling (SEM) adalah metode yang digunakan untuk melakukan analisis data. Dari hasil penelitian menunjukan bahwa variabel Cues to Action memiliki hubungan positif dan berpengaruh signifikan terhadap variabel Perceived Security Threat; variabel Self Efficacy in Information Security memiliki hubungan positif dan berpengaruh signifikan terhadap variabel Expectations; variabel Perceived Security Threat memiliki hubungan positif dan berpengaruh signifikan terhadap variabel Internet Users' Information Privacy Concerns; variabel Perceived Security Threat memiliki hubungan positif dan berpengaruh signifikan terhadap variabel Security Behavior.
A typology of the built environment around rail stops in the global transit oriented city of Seoul, Korea
Year: 2020

Developing station area typologies constitutes an important step in the planning and implementation of land development oriented toward transit. These typologies should reflect local priorities and market conditions, avoid a one size fits all approach to station area development, and stimulate conversations regarding the roles transit focused development can play in regional development strategies. This study develops an empirically based station area typology based on four key domains namely, place, location, integration, and value comprising 19 variables. We use these domains to identify ten emerging station area types in Seoul, Korea, 2015. In doing so, we demonstrate that these four domains vary according to station area type and can thus be used to distinguish between stations. When compared with station ridership, results show that station area types with a high concentration of jobs (office and retail) and a central location are associated with significantly higher metro ridership. The variety of station area characteristics and types suggests that station areas play varied and changing roles, emphasizing the need to consider diversity in development policy design.
Simulasi Numerik II Distribusi Diameter Droplet pada Semprotan Biodiesel Kelapa, Jatropa Curcas dan Minyak Goreng Bekas dalam Ruang Bakar Mexican Hat
Year: 2020

Biodiesel merupakan bahan bakar terbarukan dengan properties hampir menyerupai diesel fuel dan dapat digunakan pada motor diesel direct injection tanpa perubahan sistem bahan bakarnya. Bahan baku biodiesel yang tersedia di Indonesia antara lain kelapa, jatropa curcas dan minyak goreng bekas dapat diubah menjadi biodiesel melalui proses esterifikasi. Penelitian numerik menggunakan FLUENT 6.2 ini dilakukan pada model ruang bakar mexican hat untuk mengetahui distribusi ukuran droplet serta visualisasi semprotan dari ketiga jenis biodiesel tersebut. Pemodelan turbulen yang digunakan adalah RNG k e karena dapat memprediksi struktur large scale yang diproduksi oleh semprotan dan squish flow sedangkan pemodelan break up menggunakan WAVE karena semprotan ini berlangsung dalam angka Weber yang tinggi. Hasil numerik membuktikan bahwa biodiesel minyak goreng bekas memiliki droplet berdiameter lebih besar daripada biodiesel kelapa atau jatropa curcas karena memiliki tegangan permukaan tinggi. Diameter partikel akan berkurang saat penetrasi semakin jauh karena pengaruh gaya aerodinamik yang bekerja pada droplet dan droplet tadi pecah setelah bertumbukan dengan dinding piston.
The Common Sense Model of Self Regulation (CSM) a dynamic framework for understanding illness self management
Venue: Journal of Behavioral Medicine
Year: 2016

The Common Sense Model of Self Regulation (the "Common Sense Model" CSM) is a widely used theoretical framework that explicates the processes by which patients become aware of a health threat, navigate affective responses to the threat, formulate perceptions of the threat and potential treatment actions, create action plans for addressing the threat, and integrate continuous feedback on action plan efficacy and threat progression. A description of key aspects of the CSM's history over 50 years of research and theoretical development makes clear the model's dynamic underpinnings, characteristics, and assumptions. The current article provides this historical narrative and uses that narrative to highlight dynamic aspects of the model that are often not evaluated or utilized in contemporary CSM based research. We provide suggestions for research advances that can more fully utilize these dynamic aspects of the CSM and have the potential to further advance the CSM's contribution to medical practice and patients' self management of illness.
QuadricSLAM Dual Quadrics from Object Detections
Year: 2018

Research in Simultaneous Localization And Mapping (SLAM) is increasingly moving towards richer world representations involving objects and high level features that enable a semantic model of the world for robots. Many of these advances are grounded in state of the art computer vision techniques primarily developed in the context of image based benchmark datasets, leaving several challenges to be addressed in adapting them for use in robotics. In this work, we derive a SLAM formulation that uses dual quadrics as 3D landmark representations, exploiting their ability to efficiently represent the size, position and orientation of an object, and show how 2D bounding boxes (such as those typically obtained from visual object detection systems) can directly constrain the quadric parameters via a novel geometric error formulation. We develop a sensor model for deep learned object detectors that addresses the challenge of partial object detections often encountered in robotics applications, and demonstrate how to jointly estimate the camera pose and constrained dual quadric parameters in factor graph based SLAM.
Discovery and Visualization of Expertise Evolution and Tendency
Venue: 2018 10th International Conference on Knowledge and Smart Technology (KST)
Year: 2018

This paper presents a technique to discover expertise in research topics that authors have been contributed over the time through their publications. The process starts with typical natural language processing, followed by a topic modeling technique to extract the annual contribution in research topics and the discovery of evolution and tendency for a particular author. A bubble graph for expertise evolution and tendency is drawn over the year. The visualization can improve the perception of research topic evolution for a particular author, which will then be used to form a network of researchers in a particular area. This will support research collaboration in future.
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
Venue: BEA@NAACL HLT
Year: 2018

This paper describes the collection and compilation of the OneStopEnglish corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications automatic readability assessment and automatic text simplification. The corpus consists of 189 texts, each in three versions (567 in total) The corpus is now freely available under a CC by SA 4.0 license and we hope that it would foster further research on the topics of readability assessment and text simplification.
Coverage Analysis of LPWAN in Estonia: Sigfox and NB IoT Case study in Tallinn and Tartu
Year: 2020

Low Power Wide Area Networks (LPWANs) have become an important technology for the Internet of Things, as they provide radio coverage in the order of kilometers and enable battery powered devices to operate for years. This thesis presents the in depth technical overview along with results of an in field investigation of the coverage analysis of two LPWAN technologies i.e. NB IoT and Sigfox, conducted in Tartu and Tallinn. The observations are taken for the time span of 12 24 hours with the evaluation boards using NB IoT sim cards by two commercially available NB IoT operators (Telia and Elisa) and the single Sigfox operator in Estonia. Most of the existing literature on NBIoT coverage is replete with Received Signal Strength Indicator (RSSI) based coverage analyses. However, RSSI is most of the time not sufficient for evaluating LTE based technologies including NB IoT. Thus, our investigation of NB IoT coverage considers three parameters: RSSI, Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ) Sigfox, being a non LTE technology, we base our coverage analysis only on the RSSI factor. Both technologies are evaluated in indoor, outdoor and deep indoor/underground environments so as to provide an understanding of their coverage in various propagation and penetration conditions. Our results indicate that in outdoor scenarios, both Sigfox and NB IoT achieve good to excellent coverage with almost 0% packet losses. However, in indoor scenarios, few packet losses were observed in Sigfox while no packet losses were observed in NB IoT, even with a weaker coverage, and possibly due to re transmissions that is a salient feature of the NB IoT making it more reliable than its competitive LPWAN technologies. However, in deep indoor or underground scenarios, coverage outages were recorded for NB IoT, especially in Tartu area, indicating its weaker coverage in that city.
Evolution of the Deflection According to Truck Overloading Comparison between Benkelman Beam Method and FEM of Lateritic Pavements
Year: 2018

The study of the deflection due to the passage of an axle on a pavement structure has the advantage to make possible to pronounce on the portance, the rigidity and the homogeneity of this one. In the case where the allowed axle load is not respected, surface deflection leads to premature deterioration of the roadway. In order to study the evolution of these deformations, deflection measurements were made by using the Benkelman method in the Fatick Kaolack road in Senegal by varying the axle load with the following values: 10, 13 and 16 tons on three different zones. The results show a linear evolution of the deflection as a function of the axle load. Also, the impact of truck overloading was studied by considering different values of the axle load with comparison to the allowed axle load by using frequent types of vehicle. A numerical simulation of the Cast3M pavement was done first, in the case of an isolated single wheel with a radius of 12.5 cm, then in the case of an equivalent dual wheel with a radius of 18.1 cm for loads of 10 to 19 tons. In the same way, the pavement design software (ALIZE) is used to analyse the variation of the axle load. The results show a linear evolution of the deflection, which corroborates the measurements made in the field and those obtained by Samb (2014) with a slope coefficient equal to 1.7. Nevertheless, the case of an isolated single wheel of 12.5 cm radius is closest to the measurements with a straight line of slope coefficient equal to 1.9.
CNN Based Chinese NER with Lexicon Rethinking
Venue: IJCAI
Year: 2019

Character level Chinese named entity recognition (NER) that applies long short term memory (LSTM) to incorporate lexicons has achieved great success. However, this method fails to fully exploit GPU parallelism and candidate lexicons can conflict. In this work, we propose a faster alternative to Chinese NER: a convolutional neural network (CNN) based method that incorporates lexicons using a rethinking mechanism. The proposed method can model all the characters and potential words that match the sentence in parallel. In addition, the rethinking mechanism can address the word conflict by feeding back the high level features to refine the networks. Experimental results on four datasets show that the proposed method can achieve better performance than both word level and character level baseline methods. In addition, the proposed method performs up to 3.21 times faster than state of the art methods, while realizing better performance.
A Comparative Study of Dictionary based and Machine Learning based Named Entity Recognition in Pashto
Venue: NLPIR
Year: 2020

Information Extraction (IE) is the process of extracting structured information from unstructured text using natural language processing (NLP) One important sub task of IE is the extraction of names of persons, places, and organizations, called Named Entity Recognition (NER) NER plays an important role in many NLP applications such as Question Answering, Machine Translation, and Text Summarization. It has been widely studied for high resource languages like English. However, no research has taken place in this regard for Pashto. We hypothesized that based on the research done for English and other languages in the area of NER a system can be developed for Pashto. We have developed two NER systems for detecting names of persons, places, and organizations in Pashto text. First, a dictionary based NER that uses three dictionaries containing names of persons, locations, and organizations, respectively. Second, a learning based approach that uses Hidden Markov Model (HMM) for the task. We have evaluated both systems on a dataset collected from sports news. Our evaluation showed F Measure of 82% for HMM and 60% for dictionary based NER. Our findings highlight that HMM outperforms dictionary based NER.
Predicting Support for Arabs' Autonomy from Social Dominance: The Role of Identity Complexity and Dehumanization
Year: 2016

The present study extends previous research on the influence of social dominance orientation (SDO) in international affairs by investigating the role of sociocognitive processes such as social identity complexity (SIC) and intergroup dehumanization in explaining the relationship between SDO and support for Arabs' autonomy. An Italian heterogeneous sample (N 123) in terms of gender, age, political orientation, religiosity, and income level, was considered. We expected that those low on SDO would be more likely to support Arabs' autonomy, would have higher SIC, and would be less likely to dehumanize Arabs. We also expected that SIC and dehumanization would sequentially mediate the relationship between SDO and support for Arabs' autonomy. Results revealed that Italians low on SDO have higher SIC (i.e. a more inclusive social identity) which endorses lower dehumanization of Arabs. This in turn explained the influence of SDO on support for Arabs' autonomy. These findings integrate the literature about SDO and SIC and enhance the understanding of the sociocognitive processes underlying people's support for international egalitarian movements.
REDUCING UNEMPLOYMENT MALAISE IN NIGERIA: THE ROLE OF ELECTRICITY CONSUMPTION AND HUMAN CAPITAL DEVELOPMENT
Venue: International Journal of Energy Economics and Policy
Year: 2019

One of the greatest challenges that Nigeria is confronted with and which on the average has continued to witness a rising trend over the years is unemployment. Its scourge is known to be responsible for a high level of poverty, inequality, increasing rate of criminality and general low level of living in the country. This study examined how electricity consumption and human capital can be used to reduce unemployment in Nigeria. The study obtained secondary data and analysed the data with the Johansen co integration technique. The study found out that electricity consumption negatively impact unemployment, so also is government education expenditure. The result showed that a 1% increase in electric power consumption will lead to about 0.22% decline in the level of unemployment and 1% increase in education expenditure will bring about 0.17% decrease in the rate of unemployment. Therefore, the study recommends that the government should put in place policies and measures that will enhance the turn out of quality graduates with skills and competence to chant the course of development by all stakeholders in the education sector.
Short term facilitation of microbial litter decomposition by ultraviolet radiation.
Venue: The Science of the total environment
Year: 2018

Solar radiation plays an important role in carbon cycling by increasing the decomposition rates of plant litter and soil organic matter (i.e. photodegradation) Previous work suggests that exposure to radiation can facilitate microbial decomposition of litter by altering litter chemistry and consequently litter degradability (i.e. photopriming) However, it remains unclear to what extent photopriming contributes to litter decomposition processes and on what timescale photopriming operates. We conducted laboratory experiments to compare the effects of UV photopriming at two temporal scales (months versus days) In one experiment, we found that four months of UV exposure induced a significant but small (3 4% mass loss in two of three litter species commonly found in California oak savanna; however, UV exposure did not alter litter degradability as measured by microbial respiration in an incubation experiment. We also found that UV exposure had limited effects on lignin and other cell wall structures, but one month of microbial decomposition (in absence of UV exposure) significantly reduced lignin b aryl ether inter unit linkages and acetylated xylans. These results indicate that abiotic photodegradation alone was ineffective at breaking down lignin. In another experiment, litter of a common grass was exposed to either alternating UV radiation and dark conditions or constant darkness for 128days. We found that the alternating UV exposure increased litter CO2 production in both dark and UV phases over that observed in constant darkness. This led to a 35% greater release of CO2 from the alternating UV exposure treatment between days 65 and 128 of the experiment. These results demonstrate that alternating UV exposure with dark conditions is key to enabling photopriming on a timescale of days. Overall, we identify short term photopriming as a novel mechanism behind photodegradation. Our results also challenge the conventional hypothesis that abiotic processes are primarily responsible for degrading lignin during photodegradation.
A Peptide Cleavage Based Ultrasensitive Electrochemical Biosensor with an Ingenious Two Stage DNA Template for Highly Efficient DNA Exponential Amplification.
Venue: Analytical chemistry
Year: 2017

The direct transduction of a peptide cleavage event into DNA detection has always produced output DNA with some amino acid residues, which influence the DNA amplification efficiency in view of their steric hindrance effect. Here an ingenious two stage DNA template was designed to achieve highly efficient DNA amplification by utilizing the DNA exponential amplification reaction (EXPAR) as a model. The usage of a two stage DNA template not only accomplished the traditionally inefficient EXPAR triggered by output DNA with some amino acid residues but also simultaneously produced a newly identical DNA trigger without any amino acid residues to induce an extra efficient EXPAR, which significantly improved the DNA amplification efficiency, realizing the ultrasensitive detection of the target. On the basis of the proposed highly efficient DNA amplification strategy, a novel peptide cleavage based electrochemical biosensor was constructed to ultrasensitively detect matrix metalloproteinases 7 (MMP 7) As a result, this developed assay demonstrated excellent sensitivity with a linear range from 0.1 pg*mL 1 to 50 ng*mL 1 and a detection limit down to 0.02 pg*mL 1, which paved a novel avenue for constructing ultrasensitive peptide cleavage based biosensors.
Internal Branding Process: Exploring the Role of Mediators in Top Management's Leadership Commitment Relationship
Year: 2016

In high customer contact services, employees are an imperative part of a company's service quality. While the effect of employee commitment on brand supportive behaviors has already been studied, it remains unclear what drives employees' brand commitment. This study explores the brand oriented leadership of top management as an important driver of internal branding process and an indirect predictor of employees' commitment. Moreover, three mediators are examined in relation to how brand oriented leadership affects brand commitment. Using a sample of 226 hospitality employees working in a European hotel chain, our results indicate that employee brand knowledge, employee brand fit, and psychological contract fulfillment fully mediate the relationship between brand oriented leadership and brand commitment. The results support the importance of top management's leadership in internal branding and its role in achieving employees' emotional attachment to the brand. We also suggest that, for leadership to enhance commitment, leaders must compel employees to possess brand relevant knowledge, share similar brand values, and perceive their psychological contract as being fulfilled.
The Polyphony of Margaret Atwood's Alias Grace
Year: 2009

Alias Grace,one of Margaret Atwood's Novels,has bright polyphony in narrative style.In the paper,the polyphonic characteristics of loquacious dialogue,Incompletion,Open endedness of the writing are analyzed.It points out that the aim of the writer in employing polyphony is to criticize and overthrow the traditional dominance of male centered narrative and to disclose the female predicament in Canada which was concealed in the traditional narrative.The Postmodern Polyphonic mode of narrative successfully expressed a strong feminist consciousness.