nils-herrmann/clean_scirepeval huggingface dataset:
Automatic path planning and control design for autonomous landing of UAVs using dynamic inversion
Venue: 2009 American Control Conference
Year: 2009

In this paper a nonlinear control has been designed using the dynamic inversion approach for automatic landing of unmanned aerial vehicles (UAVs) along with associated path planning. This is a difficult problem because of light weight of UAVs and strong coupling between longitudinal and lateral modes. The landing maneuver of the UAV is divided into approach, glideslope and flare. In the approach UAV aligns with the centerline of the runway by heading angle correction. In glideslope and flare the UAV follows straight line and exponential curves respectively in the pitch plane with no lateral deviations. The glideslope and flare path are scheduled as a function of approach distance from runway. The trajectory parameters are calculated such that the sink rate at touchdown remains within specified bounds. It is also ensured that the transition from the glideslope to flare path is smooth by ensuring C1 continuity at the transition. In the outer loop, the roll rate command is generated by assuring a coordinated turn in the alignment segment and by assuring zero bank angle in the glideslope and flare segments. The pitch rate command is generated from the error in altitude to control the deviations from the landing trajectory. The yaw rate command is generated from the required heading correction. In the inner loop, the aileron, elevator and rudder deflections are computed together to track the required body rate commands. Moreover, it is also ensured that the forward velocity of the UAV at the touch down remains close to a desired value by manipulating the thrust of the vehicle. A nonlinear six DOF model, which has been developed from extensive wind tunnel testing, is used both for control design as well as to validate it.
Endobronchial Lipomatous Polyp: A Rare Benign Tumor of the Lung
Venue: Case reports in pulmonology
Year: 2014

Endobronchial lipomatous polyp is a rare nonmalignant tumor of the lung. It comprises 5% of the benign lung tumor, with the majority of benign tumors being hamartoma. Lipomatous polyp often leads to endobronchial lesion, associated with postobstructive pneumonia, hemoptysis, and atelectasis. We hereby present a case and discussion of an elderly man with endobronchial lipomatous polyp, presenting as recurrent pneumonia.
How Does BERT Answer Questions? A Layer Wise Analysis of Transformer Representations
Venue: CIKM
Year: 2019

Bidirectional Encoder Representations from Transformers (BERT) reach state of the art results in a variety of Natural Language Processing tasks. However, understanding of their internal functioning is still insufficient and unsatisfactory. In order to better understand BERT and other Transformer based models, we present a layer wise analysis of BERT's hidden states. Unlike previous research, which mainly focuses on explaining Transformer models by their attention weights, we argue that hidden states contain equally valuable information. Specifically, our analysis focuses on models fine tuned on the task of Question Answering (QA) as an example of a complex downstream task. We inspect how QA models transform token vectors in order to find the correct answer. To this end, we apply a set of general and QA specific probing tasks that reveal the information stored in each representation layer. Our qualitative analysis of hidden state visualizations provides additional insights into BERT's reasoning process. Our results show that the transformations within BERT go through phases that are related to traditional pipeline tasks. The system can therefore implicitly incorporate task specific information into its token representations. Furthermore, our analysis reveals that fine tuning has little impact on the models' semantic abilities and that prediction errors can be recognized in the vector representations of even early layers.
COINTEGRATION OF SPOT PRICE AND FUTURE PRICE OF PEPPER EVIDENCE FROM INDIAN COMMODITY MARKET
Year: 2014

The paper examines the causal relationship between the price of Pepper in the spot and future market. The daily closing price of spot and future price of Pepper in National Commodities and derivatives exchange for the period from 2005 06 to 2012 13 are taken as input for the study. The relationships between the two series are analyzed by applying Pairwise Granger Causality test. Descriptive statistical analysis and Jarque Bera Test are applied to study the nature of distribution of the time series data of spot and future price of Pepper. Correlogram analysis is applied to test the presence of auto correlation in the series. The Augmented Dickey Fuller test (ADF) shows the data series of spot and future price of Pepper are stationary at first order level. Granger Causality is applied to examine the relationship between spot and future price of Pepper. The test results indicate bilateral causality between the price of Pepper in the spot and futures market.
Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists
Venue: Internet Measurement Conference
Year: 2018

Network measurements are an important tool in understanding the Internet. Due to the expanse of the IPv6 address space, exhaustive scans as in IPv4 are not possible for IPv6. In recent years, several studies have proposed the use of target lists of IPv6 addresses, called IPv6 hitlists. In this paper, we show that addresses in IPv6 hitlists are heavily clustered. We present novel techniques that allow IPv6 hitlists to be pushed from quantity to quality. We perform a longitudinal active measurement study over 6 months, targeting more than 50 M addresses. We develop a rigorous method to detect aliased prefixes, which identifies 1.5 of our prefixes as aliased, pertaining to about half of our target addresses. Using entropy clustering, we group the entire hitlist into just 6 distinct addressing schemes. Furthermore, we perform client measurements by leveraging crowdsourcing. To encourage reproducibility in network measurement research and to serve as a starting point for future IPv6 studies, we publish source code, analysis tools, and data.
Improvement of 2 mm Thulium Doped Fiber Lasers via ASE Suppression Using All Solid Low Pass Photonic Bandgap Fibers
Venue: Journal of Lightwave Technology
Year: 2019

All solid photonic bandgap fibers (PBGFs) were designed and fabricated to work as low pass filters in 2 mm region. They were used for manipulating thulium doped fiber laser (TDFL) operating in the 2 mm region via amplified spontaneous emission suppression. A sharp lasing peak at 1915 nm was achieved using a single stage TDFL with full width at half maximum and optical signal to noise ratio of 0.3 nm and 39.5 dB, respectively. This lasing is achieved using the fabricated PBGF low pass filter with cutoff wavelength at 1945 mm and loss of more than 25 dB. In this respect, the resultant TDFL performed better than the one that did not employ the low pass filter. In this paper, we present a few representative cases involving the all solid PBGF. We have shown that by increasing the diameter of the fabricated PBGF from 142 to 189 mm, their cutoffs related to their bandgaps shifted from 1727 nm toward longer wavelengths, 2079 nm. As a result, lasers with different wavelengths were generated within 2 mm region.
Hierarchical Transfer Learning Architecture for Low Resource Neural Machine Translation
Venue: IEEE Access
Year: 2019

Neural Machine Translation(NMT) has achieved notable results in high resource languages, but still works poorly on low resource languages. As times goes on, It is widely recognized that transfer learning methods are effective for low resource language problems. However, existing transfer learning methods are typically based on the parent child architecture, which does not adequately take advantages of helpful languages. In this paper, inspired by human transitive inference and learning ability, we handle this issue by proposing a new hierarchical transfer learning architecture for low resource languages. In the architecture, the NMT model is trained in the unrelated high resource language pair, the similar intermediate language pair and the low resource language pair in turn. Correspondingly, the parameters are transferred and fine tuned layer by layer for initialization. In this way, our hierarchical transfer learning architecture simultaneously combines the data volume advantages of high resource languages and the syntactic similarity advantages of cognate languages. Specially, we utilize Byte Pair Encoding(BPE) and character level embedding for data pre processing, which effectively solve the problem of out of vocabulary(OOV) Experimental results on Uygur Chinese and Turkish English translation demonstrate the superiorities of the proposed architecture over the NMT model with parent child architecture.
An Engineering Methodology for Facilitating Architecture Development of Large scale and Complex Systems
Venue: 2019 International Symposium on Systems Engineering (ISSE)
Year: 2019

To facilitate system architecture development in practice, we propose an engineering methodology in this paper. First, seven kernels of architecture engineering (i.e. Opportunity, Stakeholder, Need, Architecture, Team, Work and Way of Working) that must be considered during the process of developing an architecture are proposed, and then different states for each kernel, which can indicate the progress and health of architecture development, are defined. Second, to reduce complexity, architecture development is refined into four core disciplines (i.e. Need Analyze, Architecture Design, Model Verify and Architecture Evaluate) and the development process are divided into four phases (i.e. inception, elaboration, refinement and release) Moreover, suggested kernel states in each phase are provided. Third, a Plan Execute Inspect Adjust (PEIA) method is given to transfer from current kernel states to target kernel states, to push the architecture development process forward iteratively and effectively. Finally, an application is conducted by using our methodology to describe the architecture of a joint experiment system. Results show that our methodology can effectively facilitate system architecture development in practice.
Dynamics of community participation, student achievement and school management: the case of primary schools in a rural area of Malawi
Year: 2016

School management in many sub Saharan African countries has been enhanced through community participation in an attempt to improve education quality. This study uses field research in a rural district of Malawi to assess how community and parent participation differs between schools, the intentions of communities and parents when carrying out activities in schools, and the mechanism promoting active participation in schools. In high achieving schools, but not in low achieving schools, communities and parents were actively involved in events aimed at improving student achievement. Communities and parents considered most highly prioritised activities that directly influenced student achievement, including hiring volunteer teachers, arranging extra classes and holding mock examinations. Community participation did not directly improve student achievement. Instead, when communities and parents actively participated in a school, school management improved, ensuring better student achievement. The implications of this finding are discussed in relation to community participation.
Promoting Students' Reading Proficiency through Reciprocal Technique
Year: 2017

Teaching English in High School level (Junior High School and Senior High School) is more exposed in reading and writing skills for the target of final examination (UN).Consequently, students need to sharpen their reading and writing ability. It also must be done by students in a non formal Senior High School known as KejarPaket C without any exception Improving reading skill can be done through doing more reading activities in various types of text. This activity will add students' vocabularies and their knowledge about more topics of the texts. Besides, the way teachers deliver the material deals with techniques, methods, or strategies also contributes in students' progress of reading skill. Seeing the background of students in KejarPaket C who have various backgrounds and mostly are from low economic level or less motivated students for studying, teachers should concern more in exposing the material through the appropriate and effective technique. Carter (2001) brings an idea about a technique which teacher and students are taking place in dialogue and it resulted in students learning how to construct meaning when they are placed in must read situations (tests or assignments) This was experimental research which was conducted to find the difference of students' reading proficiency taught by using a technique called Reciprocal. The study found that the technique contributed significantly in improving students' reading proficiency after they were taught by using Reciprocal. In brief, Reciprocal technique is an effective way to improve students' reading proficiency.
A contextual maximum likelihood framework for modeling image registration
Venue: 2012 IEEE Conference on Computer Vision and Pattern Recognition
Year: 2012

We introduce a novel probabilistic framework for image registration. This framework considers, in contrast to previous ones, local neighborhood information. We integrate the neighborhood information into the framework by adding layers of latent random variables, characterizing the descriptive information of each image. This extension has multiple advantages. It allows for a unified description of geometric and iconic registration, with the consequential analysis of similarities. It enables to arrange registration techniques in a continuum, limited by pure intensity and feature based registration. With this wide spectrum of techniques combined, we can model hybrid registration approaches. The probabilistic coupling allows further to deduce optimal descriptors and to model the adaptation of description layers during the process, as it is done for joint registration/segmentation. Finally, we deduce a new registration algorithm that allows for a dynamic adaptation of the description layers during the registration. Excellent results confirm the advantages of the new registration method, the major contribution of this article lies, however, in the theoretical analysis.
Colorism: (Still) getting away with racism.
Year: 2014

Color Matters: Skin Tone Bias and the Myth of a Post Racial America is an edited volume with contributors from the fields of law, psychology, and social work. The nine chapters build on each other, moving from ancient history, through close inspection of slavery and subsequent racism in the United States, to racism's and colorism's effects on everyday lives at the beginning of the 21st century, and ending with recommendations for the future. Colorism, similar to racism, is an ongoing consequence of the myth of White superiority, manifested as "the allocation of privilege and disadvantage according to the lightness or darkness of one's skin" (Burke, 2008, p. 17) and "the tendency to perceive or behave toward members of a racial category based on the lightness or darkness of their skin tone" (Maddox Gray, 2002, p. 250) In the United States, educational opportunities, employment, incarceration, and wealth can be linked to skin tone, with definite advantages for people with lighter skin.
Deep API Programmer: Learning to Program with APIs
Year: 2018

We present DAPIP, a Programming By Example system that learns to program with APIs to perform data transformation tasks. We design a domainspecific language (DSL) that allows for arbitrary concatenations of API outputs and constant strings. The DSL consists of three family of APIs: regular expression based APIs, lookup APIs, and transformation APIs. We then present a novel neural synthesis algorithm to search for programs in the DSL that are consistent with a given set of examples. The search algorithm uses recently introduced neural architectures to encode input output examples and to model the program search in the DSL. We show that synthesis algorithm outperforms baseline methods for synthesizing programs on both synthetic and real world benchmarks.
Structural characterization of a hybrid terpyridine pyrazine ligand and its one dimensional ZnII coordination polymer: a computational approach to conventional and nonconventional intermolecular interactions.
Venue: Acta crystallographica. Section C, Structural chemistry
Year: 2019

The structures of a new hybrid terpyridine pyrazine ligand, namely 4' [4 (pyrazin 2 yl)phenyl] 4,2':6',4' terpyridine (L2) C25H17N5, and its one dimensional coordination polymer catena poly[[bis(acetylacetonato k2O,O')zinc] m 4' [4 (pyrazin 2 yl kN4)phenyl] 4,2':6',4' terpyridine kN1] [Zn(C5H7O2)2(C25H17N5)]n or [Zn(acac)2(L2)]n (Hacac is acetylacetone) are reported. Packing interactions in both crystal structures are analyzed using Hirshfeld surface and enrichment ratio techniques. For the simpler structure of the monomeric ligand, further studies on the interaction hierarchy using the energy framework approach were made. The result was a complete picture of the intermolecular interaction landscape, which revealed some subtle details, for example, that some weak (at first sight negligible) C H..N interactions in the structure of free L2 play a relevant role in the crystal stabilization.
Outcome of different treatments for chronic diffuse sclerosing osteomyelitis of the mandible: a systematic review of published papers.
Venue: The British journal of oral maxillofacial surgery
Year: 2020

Treating chronic diffuse sclerosing osteomyelitis (DSO) is challenging and many treatments have been reported. However, we know of no standard protocol or guidelines. In this systematic review of relevant publications we provide an overview of the different treatments used. We made an electronic search of PubMed, Medline, Embase, Web of Science, and the Cochrane Library databases, for papers that described the treatment of DSO of the mandible. The search yielded 48 papers that applied to all inclusion criteria, resulting in 16 case reports, 13 case series, 18 retrospective clinical cohort studies, and one randomised controlled trial. Reported treatment options included different operations; the use of antibiotics, anti inflammatories, and antiresorptive medication; conservative treatment; and hyperbaric oxygen. Surgical treatment resulted in a low success rate and was associated with higher morbidity than other treatments. Conservative treatment, and that of bisphosphonates, yielded more promising results, so conservative treatment and bisphosphonates seem to be the most promising therapeutic options. However, because of the high risk of bias, no firm conclusions can be drawn, and larger studies with clear inclusion criteria and specified endpoints are needed.
Menggagas Revolusi Mental Birokrasi Melalui Konsep Competitive Agile Leadership
Year: 2020

The research is directed to formulate a bureaucratic mental revolution strategy by utilizing the concept of agile leadership. The research team formulated a bureaucratic mental revolution strategy by utilizing the concept of agile leadership through several stages. First, an analysis of the agile leadership model was carried out on the governance practices of Desa Majasari government. Second, the analysis of agile government was conducted as a result of the emergence of agile leadership in the village. The results of the study explained that the existence of agile leadership is very important to encourage the emergence of agile government. That is, if the agile bureaucratic mentality is strongly supported by the existence of agile leadership. Seeing the paternalistic bureaucracy culture that the leader as the center of activity of the organization, bureaucracy mental revolution strategy has to start from a mental revolution from the leader. Leaders' mental revolution can be implemented when they are placed in a competitive agile leadership assessment system. Therefore, the research team offers and formulates a competitive model of agile leadership as a mental revolution strategy bureaucracy.
Recurrent Reinforcement Learning for Predictive Overall Equipment Effectiveness
Venue: 2018 e Manufacturing Design Collaboration Symposium (eMDC)
Year: 2018

With the increasing huge amount of real time data being collected in modern manufacturing systems, the conventional indices defined to evaluate productivity, quality and performance become less effective. Compared to the conventional Overall Equipment Effectiveness (OEE) the predictive OEE (POEE) evaluates and monitors the forthcoming effectiveness of a single tool. Its predictive effectiveness is based on the extra production time due to anomaly tool conditions and undesired product quality. This research develops a recurrent reinforcement learning model to predict the predictable elements in calculating the POEE. Our model combines supervised Long Short Term Memory (LSTM) and reinforced Deep Q Network (DQN) techniques in predicting stochastic dynamics in production and quality. A Chemical Vapor Deposition (CVD) tool is taken as an exemplary case to illustrate the calculation of POEE.
The Anxiety of Influence: Fascination with the Self and the Other
Year: 2015

Oscar Wilde was no vampire even though he undoubtedly became an object and agent of fascination. Some critics, however, claim that he served as the model for Dracula,1 a figure that came into print two years after Wilde's trial and epitomises the same Victorian anxieties over homosexuality that were fuelled by the life and works of the controversial writer. The suggested metamorphosis of Wilde's sexually 'corrupted' character, which produced highly seductive and provocative works such as The Picture of Dorian Gray (1890) a novel accused of promoting homoerotic desires, into both Stoker's monstrous protagonist and the entrapped Jonathan Harker who is taken by a 'wild[e] desire',2 points to an act of artistic vampirism.3 Insofar as they feed on events, themes and objects that have already received increased public attention, absorbing their energy to bind readers, Stoker, Wilde and several other writers might indeed be accused of artistic vampirism. Dorian Gray seems particularly tainted by this 'disease' The novel was criticised for its pot pourri of ideas taken from other authors, including Stevenson, Poe, Balzac, Goethe, Radcliffe and Hawthorne. While some critics lamented that 'there is so little that is original in it',4 others curiously praised 'the book's very lack of originality' as 'the secret of its power'.5 According to Wilde's aesthetics, it was possible to be derivative and original at the same time in that an artist could appropriate the ideas of others to create wholly original impressions and, as he claims in his preface, 'beautiful things'.6
Institutional and economic transition in Vietnam: Analysing the heterogeneity in firms' perceptions of business environment constraints
Year: 2020

Vietnam has experienced a gradual process of institutional transition combined with rapid economic growth since the Doi Moi reform in 1986. In recent years, the government has recognized the need to implement reforms to foster the development of favourable business environment conditions. In this scenario, however, the government seems to assume a uniform demand for business environment reforms, ignoring possible divergences in the constraints faced by different actors of the system. The aim of this paper is to analyse the heterogeneity in firms' perceptions of business environment constraints. Adopting discrete choice models on firm level data and subjective assessments on business environment obstacles, we differentiate the nature and severity of firms' obstacles according to different characteristics of the enterprises, including the firm size, territorial localization and levels of performance and competitiveness. The study is useful as an informative base for defining public interventions calibrated on the different categories and needs of Vietnamese enterprises.