nils-herrmann/clean_scirepeval huggingface dataset:
Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment
Venue: Comput. Graph. Forum
Year: 2016

The recent introduction of 3D shape analysis frameworks able to quantify the deformation of a shape into another in terms of the variation of real functions yields a new interpretation of the 3D shape similarity assessment and opens new perspectives. Indeed, while the classical approaches to similarity mainly quantify it as a numerical score, map based methods also define (dense) shape correspondences. After presenting in detail the theoretical foundations underlying these approaches, we classify them by looking at their most salient features, including the kind of structure and invariance properties they capture, as well as the distances and the output modalities according to which the similarity between shapes is assessed and returned. We also review the usage of these methods in a number of 3D shape application domains, ranging from matching and retrieval to annotation and segmentation. Finally, the most promising directions for future research developments are discussed.
Mechanical Thrombectomy for Isolated M2 Occlusions: A Post Hoc Analysis of the STAR, SWIFT, and SWIFT PRIME Studies
Venue: American Journal of Neuroradiology
Year: 2016

Mechanical thrombectomy is beneficial for patients with acute ischemic stroke and a proximal anterior occlusion, but it is unclear if these results can be extrapolated to patients with an M2 occlusion. The purpose of this study was to examine the technical aspects, safety, and outcomes of mechanical thrombectomy with a stent retriever in patients with an isolated M2 occlusion who were included in 3 large multicenter prospective studies.  We included patients from the Solitaire Flow Restoration Thrombectomy for Acute Revascularization (STAR) Solitaire With the Intention For Thrombectomy (SWIFT) and Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment (SWIFT PRIME) studies, 3 large multicenter prospective studies on thrombectomy for ischemic stroke. We compared outcomes and technical details of patients with an M2 with those with an M1 occlusion. All patients were treated with a stent retriever. Imaging data and outcomes were scored by an independent core laboratory. Successful reperfusion was defined as modified Thrombolysis in Cerebral Infarction score of 2b/3.  We included 50 patients with an M2 and 249 patients with an M1 occlusion. Patients with an M2 occlusion were older (mean age, 71 versus 67 years; P .04) and had a lower NIHSS score (median, 13 versus 17; P .001) compared with those with an M1 occlusion. Procedural time was nonsignificantly shorter in patients with an M2 occlusion (median, 29 versus 35 minutes; P .41) The average number of passes with a stent retriever was also nonsignificantly lower in patients with an M2 occlusion (mean, 1.4 versus 1.7; P .07) There were no significant differences in successful reperfusion (85% versus 82% P .82) symptomatic intracerebral hemorrhages (2% versus 2% P 1.0) device related serious adverse events (6% versus 4% P .46) or modified Rankin Scale score 0 2 at follow up (60% versus 56% P .64)  Endovascular reperfusion therapy appears to be feasible in selected patients with ischemic stroke and an M2 occlusion.
HPV Involvement in Head and Neck Cancers: Comprehensive Assessment of Biomarkers in 3680 Patients.
Venue: Journal of the National Cancer Institute
Year: 2016

We conducted a large international study to estimate fractions of head and neck cancers (HNCs) attributable to human papillomavirus (HPV AFs) using six HPV related biomarkers of viral detection, transcription, and cellular transformation.  Formalin fixed, paraffin embedded cancer tissues of the oral cavity (OC) pharynx, and larynx were collected from pathology archives in 29 countries. All samples were subject to histopathological evaluation, DNA quality control, and HPV DNA detection. Samples containing HPV DNA were further subject to HPV E6*I mRNA detection and to p16(INK4a) pRb, p53, and Cyclin D1 immunohistochemistry. Final estimates of HPV AFs were based on HPV DNA, HPV E6*I mRNA, and/or p16(INK4a) results.  A total of 3680 samples yielded valid results: 1374 pharyngeal, 1264 OC, and 1042 laryngeal cancers. HPV AF estimates based on positivity for HPV DNA, and for either HPV E6*I mRNA or p16(INK4a) were 22.4% 4.4% and 3.5% for cancers of the oropharynx, OC, and larynx, respectively, and 18.5% 3.0% and 1.5% when requiring simultaneous positivity for all three markers. HPV16 was largely the most common type. Estimates of HPV AF in the oropharynx were highest in South America, Central and Eastern Europe, and Northern Europe, and lowest in Southern Europe. Women showed higher HPV AFs than men for cancers of the oropharynx in Europe and for the larynx in Central South America.  HPV contribution to HNCs is substantial but highly heterogeneous by cancer site, region, and sex. This study, the largest exploring HPV attribution in HNCs, confirms the important role of HPVs in oropharyngeal cancer and drastically downplays the previously reported involvement of HPVs in the other HNCs.
Machine Learning Approach for Hairstyle Recommendation
Venue: 2020 5th International Conference on Information Technology Research (ICITR)
Year: 2020

According to aesthetic evaluations, hair is the most unique feature which can enhance the facial features of a person. Beauty experts have identified that 70% of overall face appearance completely depends on the haircut or hairstyle. The physical attributes such as the haircut is a major determinant of women's psychology. This is the essence of why a haircut which is matching a woman's face is necessary articulation. But selecting the right haircut or hairstyle is one of the most difficult decisions to take in a woman's life. This paper presents a novel framework to select the most suitable hairstyle or haircut by classifying the face shape. The author considers the shape of the face, beauty experts knowledge related to hair cuts and hairstyles and the length of the hair to develop a model to recommend the most suitable hairstyle or haircut. The author focused to recommend the haircuts and hairstyles for women which is a subsection of this large research area. According to beauty experts identifying the shape of the face is the most important step before selecting the right hairstyle or haircut. The proposed model has the ability to classify the face shape when a user uploaded a portrait of herself. Machine Learning libraries were used to identify the landmarks of the face image and classify the face in the correct shape. Naive Bayes classification algorithm has used to recommend the most suitable hairstyle or haircut according to the detected face shape. hair length and information collected from the hair experts. User has given an option to share the recommended hair style or haircut with the beautician via "The Beauty Quest" Salon network platform. Five thousand images were trained, and python language has used as the programming language. The accuracy of the face shape classification model is 91% and the accuracy of the hair recommendation is also 83%
Too much information.
Venue: Advanced emergency nursing journal
Year: 2009

Stop! Don't forward that e mail (or copy it to everyone under the sun) at least not yet. Have you carefully considered who needs to know and what they need to know about the message you are forwarding? Have you examined the content closely to see whether there is further information or clarification necessary for the application of the information in the emergency department (ED) Or, are you a vector of information overload? Like the boy who cried "wolf," filling up people's mailboxes with nonessential, nonapplicable, or incomplete information almost ensures that they won't pay attention to the messages that really are important. It's a classic case of TMI (too much information) a condition that has reached pandemic proportions. Translation and communication of information is the responsibility of all leaders and a key role for advanced practice nurses. In fact, one could argue that information brokering is the very essence of the clinical nurse specialist role. So, how do we do our jobs while helping prevent the spread of information overload? To be an effective conduit of information, consider the following Five Rights of Information Dissemination before you hit the Send button.
Neural Semantic Parsing
Venue: ACL
Year: 2018

Semantic parsing, the study of translating natural language utterances into machine executable programs, is a well established research area and has applications in question answering, instruction following, voice assistants, and code generation. In the last two years, the models used for semantic parsing have changed dramatically with the introduction of neural encoder decoder methods that allow us to rethink many of the previous assumptions underlying semantic parsing. We aim to inform those already interested in semantic parsing research of these new developments in the field, as well as introduce the topic as an exciting research area to those who are unfamiliar with it. Current approaches for neural semantic parsing share several similarities with neural machine translation, but the key difference between the two fields is that semantic parsing translates natural language into a formal language, while machine translation translates it into a different natural language. The formal language used in semantic parsing allows for constrained decoding, where the model is constrained to only produce outputs that are valid formal statements. We will describe the various approaches researchers have taken to do this. We will also discuss the choice of formal languages used by semantic parsers, and describe why much recent work has chosen to use standard programming languages instead of more linguistically motivated representations. We will then describe a particularly challenging setting for semantic parsing, where there is additional context or interaction that the parser must take into account when translating natural language to formal language, and give an overview of recent work in this direction. Finally, we will introduce some tools available in AllenNLP for doing semantic parsing research.
Plug in Based System Framework for Image Processing
Venue: 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)
Year: 2019

An authentic software has been executed through plug in for extended applications. Authors are developing plug in based system framework for image processing. We are developing image processing software. Additional plug in can be added for different applications of image processing. Authors are developing a framework in that user can open an image. A user can apply various image operations like color transformation, histogram etc. In this paper, authors aim is to highlight on authors contribution in this field, where authors have created such system in which user can add his own plug in and gives accurate result.
A stochastic model for oil spill detection in marine environment with SAR data
Venue: Remote Sensing
Year: 2018

The catastrophic explosion which destroyed the DeepWater Horizon (DWH) oil rig in the Gulf of Mexico, in April 2010, caused, in a period of three months, the discharge of some 4.9 million barrels of oil. The DWH remains the largest accidental marine oil spill in the history of petroleum industry. In order to detect the oil slick, and to measure its extent and geo location, we present a methodology based on the use of SAR images and of stochastic process theory. The task of scene interpretation makes use of pixel potential functions supported by the Ising model. The scheme is applied to an ASAR image of the Gulf of Mexico, at the time when the DWH oil spill had already completely developed. The result shows both the labelled field of the image elements and the extent of the oil spill itself. The MRF model and the parameters of the stochastic optimization procedure are fully described.
Spatial distribution of genets in populations of saprotrophic basidiomycetes, Mycetinis alliaceus, Marasmius rotula and Gymnopus androsaceus, from Serbian and Montenegrin forests
Year: 2019

Saprotrophic basidiomycetes play a crucial role in leaf litter decomposition, especially in nitrogen limited boreal and temperate forests. Populations of this group of fungi have been inadequately investigated. We examined the populations of three different saprotrophic species Mycetinis alliaceus Marasmius rotula and Gymnopus androsaceus in forests in Serbia and Montenegro. To determine the distribution of genets at each of the three investigated sites, molecular analysis was conducted using the inter simple sequence repeats (ISSR) method. Seven to fifteen genets (genotypes, individuals) were identified on each site and the majority of them were represented by a single sporocarp. The sizes of the genets with two or more sporocarps were estimated to range from 0.3 to 4.0 m. Results obtained in this study suggest that populations of these three species can consist of numerous and relatively small genets.  February 18, 2019  April 4, 2019;  April 9, 2019;  2019 How to cite this article: Boskovic EV, Galovic VO, Karaman MA. Spatial distribution of genets in populations of Saprotrophic basidiomycetes, Mycetinis alliaceus Marasmius rotula and Gymnopus androsaceus from Serbian and Montenegrin forests.
Trading in Information: On the Unlikely Correspondence Between Patents and Blackmail Law
Year: 2020

This paper studies the problem of trading in information in two seemingly unrelated settings: inventive activity; and blackmail. In the former, a discoverer of some new information wishes to profit from it but may be deterred because the act of disclosure effectively makes the information public. Thus, legal protection of the information in the form of a patent is usually needed to allow the inventive process to proceed. Blackmail also involves trading in information; but because the transaction is between two parties who already know its content the discoverer, and someone who wishes to keep it hidden the appropriability problem is absent. The paradox of blackmail is why the blackmailer prefers to sell the information to the informed party rather than to the uninformed party (who actually values it more) this latter transaction would be legal. The resolution of the paradox provides the link to patent law, because the latter transaction does involve the appropriability problem.
Total quality management elements and results in higher education institutions: The Greek case
Year: 2017

The purpose of this paper is to determine the main total quality management (TQM) elements adopted and the respective results achieved by higher education institutions (HEIs) in Greece.  A research study was designed and carried out in private sector Greek HEIs. Fifteen HEIs were approached through interviews based on a structured questionnaire. The measured variables of the TQM elements and results identified in the literature were used as the questionnaire items. Descriptive statistics were applied to determine the TQM elements mostly adopted and the results achieved by the HEIs.  According to the findings, the TQM elements mostly adopted by the Greek HEIs concern the following: student focus, leadership and top management commitment, strategic quality planning, process management and teaching staff and employee involvement. On the other hand, the most significant results achieved by the sample HEIs concern quality performance improvement, teaching staff and employee satisfaction, operational performance improvement and the positive impact on society.  The subjective data collection involved chief executive officers of a small sample of HEIs operating in a European Union country. Thus, no advanced statistical methods could be applied. Based on these limitations, future research studies are recommended.  By focusing on specific TQM elements, an HEI can develop a robust TQM model, approach business excellence, which can, in turn, help the HEI apply for appropriate quality awards, and finally derive significant benefits. In doing so, an HEI can lay the foundations for being competitive in the current global context that is characterised by an economic downturn.  This study contributes to the literature by empirically determining the TQM elements mostly adopted as well as the respective results achieved by Greek HEIs in a period of economic downturn. This is the first research study in the field of TQM in higher education that has been carried out in Greece in a period where many service organisations, whether private or public, are making significant efforts to withstand the current downturn and achieve a sustainable growth.
Revisiting the JDL model for information exploitation
Venue: Proceedings of the 16th International Conference on Information Fusion
Year: 2013

The original Joint Directors of Laboratories (JDL) model was developed in the early 90's, with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing, and machine analytics, there is an ever increasing need for integration of people and machines. The original JDL model focused on the data fusion (correlation, filtering, and association) issues, while today there is an increasing emphasis on an integrated approach to information exploitation over sensors, users, and missions using enterprise architectures, interoperability standards, and intelligence to the edge. Given these recent changes to computation and distributed access, we examine ways for extending the JDL model from 1998 to support exploitation functions and information management for situation awareness, massive data analytics for contextual awareness, and domain specific needs for mission awareness.
Modeling and process planning for curved layer fused deposition
Year: 2017

Fused deposition modeling (FDM) one of the earliest and typical additive manufacturing (AM) technologies, holds great potential in a wide range of industrial applications due to their increasing availability, simplicity, affordability, and capability to fabricate both prototypes and functional parts without limitation on geometric complexity. Notwithstanding many evident advantages over traditional subtractive manufacturing methods, there are still some limitations of this rapidly developing technique. One intractable problem is the undesirable surface finish from the layer by layer manufacturing process, where the stair step issue appears unavoidably. This problematic phenomenon becomes much more serious when fabricating the surface with some minute but critical features. In order to solve these problems, curved layer manufacturing method is a good substitute for general flat fused deposition modeling. This work is an exploratory study for curved layer fused deposition (CLFD) involving the modeling and process planning, which are the foundation for the implementation of CLFD. The physical model for CLFD is developed firstly, and subsequently, the process planning, including the slicing procedure and the extruder path generation, is analyzed and presented. The output from the process planning could be applied in the fabrication of curved surfaces, which would possess tiny features and exhibit excellent smoothness instead of annoying exterior appearance. At last, the implementation of the proposed strategies and approaches on a bowl like surface is provided to verify the effectiveness and advantages of CLFD.
Adaptive Structuration Process In The Education Of Indonesian Migrant Workers' Children (Case study in 9th Grade of Junior High School in CLC Kundasang, CLC Ribu Bonus, and Sekolah Indonesia Kota Kinabalu Sabah Malaysia)
Year: 2019

The lack of education for Indonesian Migrant Workers' (TKI) children is becoming a concern. There are some barriers which can interfere the children with having higher education, such as the illegal status of their parents and the weak coordination between the agent and the agency. The study aims to analyze the process of communication through the agent, agency, the produced and reproduced the structure of the system and examine the particular reason behind the forming of such a system. The study utilizes a constructivist paradigm which collects the data by case study and literature study: the researcher obtained the data through interviewing and receiving the valid document in Sabah Malaysia. The result shows that the illegal status of their parents is a serious problem for the children to gain higher education. The parents' status prevents the children from getting the citizenship rights and a set of documents such as the passport, resident cards, study permits, and so forth. Therefore, this study represented the structure that is produced and reproduced by the Indonesian Migrant Workers (TKI) opposing the law and had inhibited the children to get into the next level of education. Keywords adaptive structuration; education; Indonesian migrant workers
Disturbance Observer Based Inverse Optimal Tracking Control of the Unmanned Aerial Helicopter
Venue: 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2019

The attitude and altitude tracking control problem of an unmanned aerial helicopter (UAH) with unknown external disturbances is solved by employing an optimal control method in this paper. An inverse optimal control approach is adopted which avoids solving the associated Hamilton Jacobi Bellman (HJB) equation. A disturbance observer based control (DOBC) method is utilized to deal with the unknown disturbances. To ensure the convergence of all tracking errors, a particular control Lyapunov function is selected via inverse optimal method. The performance of this developed control method is illustrated by simulation results.
A Polyadenylation Factor Subunit Implicated in Regulating Oxidative Signaling in Arabidopsis thaliana
Venue: PloS one
Year: 2008

Plants respond to many unfavorable environmental conditions via signaling mediated by altered levels of various reactive oxygen species (ROS) To gain additional insight into oxidative signaling responses, Arabidopsis mutants that exhibited tolerance to oxidative stress were isolated. We describe herein the isolation and characterization of one such mutant, oxt6.  The oxt6 mutation is due to the disruption of a complex gene (At1g30460) that encodes the Arabidopsis ortholog of the 30 kD subunit of the cleavage and polyadenylation specificity factor (CPSF30) as well as a larger, related 65 kD protein. Expression of mRNAs encoding Arabidopsis CPSF30 alone was able to restore wild type growth and stress susceptibility to the oxt6 mutant. Transcriptional profiling and single gene expression studies show elevated constitutive expression of a subset of genes that encode proteins containing thioredoxin and glutaredoxin related domains in the oxt6 mutant, suggesting that stress can be ameliorated by these gene classes. Bulk poly(A) tail length was not seemingly affected in the oxt6 mutant, but poly(A) site selection was different, indicating a subtle effect on polyadenylation in the mutant.  These results implicate the Arabidopsis CPSF30 protein in the posttranscriptional control of the responses of plants to stress, and in particular to the expression of a set of genes that suffices to confer tolerance to oxidative stress.