nils-herrmann/clean_scirepeval huggingface dataset:
On Efficiently Solving the Subproblems of a Level Set Method for Fused Lasso Problems
Venue: SIAM J. Optim.
Year: 2018

In applying the level set method developed in [Van den Berg and Friedlander,  (2008) pp.~890 912 and SIAM J. on Optimization, 21 (2011) pp.~1201 1229] to solve the fused lasso problems, one needs to solve a sequence of regularized least squares subproblems. In order to make the level set method practical, we develop a highly efficient inexact semismooth Newton based augmented Lagrangian method for solving these subproblems. The efficiency of our approach is based on several ingredients that constitute the main contributions of this paper. Firstly, an explicit formula for constructing the generalized Jacobian of the proximal mapping of the fused lasso regularizer is derived. Secondly, the special structure of the generalized Jacobian is carefully extracted and analyzed for the efficient implementation of the semismooth Newton method. Finally, numerical results, including the comparison between our approach and several state of the art solvers, on real data sets are presented to demonstrate the high efficiency and robustness of our proposed algorithm in solving challenging large scale fused lasso problems.
Improving Productivity by Simulate Facility Layout: A Case Study in a Car Component Manufacturer
Year: 2016

Facility layout is an important component of a manufacturer's operations especially in terms of maximizing the effectiveness of the production process. The key of good facility layout is the integration of the needs of people, materials and machinery in such a way that it does create a single well functioning system. An effective layout can help an organization achieve a strategy that supports differentiation, low cost or response while wrong layout planning will lead to lack of space in key areas, poor placement of key activities, excessive material handling and increased operating costs. In this case study, ARENA software has been used to simulate the production time requires in completing the assembly process. Several options from relayout activities have been tested in order to find the best outcomes that can optimize the output, since the existing layout creates lots of wastes. The result shows the productivity increase from 68.2% to 81.5% and production efficiency also rises by 20% Simulators are able to provide the organization with practical feedback and determine the correctness of a design before any improvement activities is actually take place.
Comprehensive investigation of steel corrosion inhibition at macro/micro level by ecofriendly green corrosion inhibitor in 15% HCl medium.
Venue: Journal of colloid and interface science
Year: 2019

In the present time, there is enormous need for environmentally friendly and effective corrosion inhibitor for the acidizing process. During acidization 15% hydrochloric acid is used, which causes corrosion of N80 steel.  The present study aims at the synthesis of environmentally benign corrosion inhibitor, namely 2 amino 4 (5 hydroxy 3 methyl 1H pyrazole 4 yl) 4H chromene 3 carbonitrile (PCP) and corrosion inhibition evaluation for N80 steel in 15% HCl. The inhibition potential of PCP was examined by electrochemical impedance spectroscopy (EIS) potentiodynamic polarization (PDP) density functional theory (DFT) and molecular dynamics simulation (MSD) The surface morphology of N80 steel samples was characterized by atomic force microscopy (AFM) contact angle measurement, UV vis spectroscopy, and scanning electron microscopy (SEM) FINDINGS The EIS measurements disclosed that PCP inhibits corrosion via kinetic controlled process. PDP results confirmed that PCP is a mixed type inhibitor and reduces the corrosion process effectively at 400 mg/L concentration with 98.4% efficiency. The adsorption of PCP followed Langmuir isotherm. Surface analysis by SEM, AFM, contact angle measurement, and UV vis spectroscopy supports PCP adsorption over the N80 steel surface. The DFT study explores the adsorption and reactive regions of the PCP molecules. The MSD reveals that the diffusion co efficient of the corrosive species in inhibited solution is less as compared to uninhibited.
Team safety and innovation by learning from errors in long term care settings.
Venue: Health care management review
Year: 2012

Team safety and team innovation are underexplored in the context of long term care. Understanding the issues requires attention to how teams cope with error. Team managers could have an important role in developing a team's error orientation and managing team membership instabilities.  The aim of this study was to examine the impact of team member stability, team coaching, and a team's error orientation on team safety and innovation.  A cross sectional survey method was employed within 2 long term care organizations. Team members and team managers received a survey that measured safety and innovation. Team members assessed member stability, team coaching, and team error orientation (i.e. problem solving and blaming approach) The final sample included 933 respondents from 152 teams.  Stable teams and teams with managers who take on the role of coach are more likely to adopt a problem solving approach and less likely to adopt a blaming approach toward errors. Both error orientations are related to team member ratings of safety and innovation, but only the blaming approach is (negatively) related to manager ratings of innovation. Differences between members' and managers' ratings of safety are greater in teams with relatively high scores for the blaming approach and relatively low scores for the problem solving approach. Team coaching was found to be positively related to innovation, especially in unstable teams.  Long term care organizations that wish to enhance team safety and innovation should encourage a problem solving approach and discourage a blaming approach. Team managers can play a crucial role in this by coaching team members to see errors as sources of learning and improvement and ensuring that individuals will not be blamed for errors.
The Women Of Suye Mura
Year: 2016

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Multiscale Frequent Co movement Pattern Mining
Venue: 2020 IEEE 36th International Conference on Data Engineering (ICDE)
Year: 2020

Thanks to recent prevalence of location tracking technologies, collecting massive spatiotemporal datasets containing moving object trajectories has become possible, providing an exceptional opportunity to derive interesting insights about the behavior of moving objects such as people, animals, and vehicles. In particular, mining patterns from "co movements" of objects (such as movements by players of a sports team, joints of the human body while walking, and vehicles in a transportation network) can lead to the discovery of interesting patterns (e.g. offense tactics of a sports team, gait signature of a person, and driving behaviors causing heavy traffic) Various trajectory mining and frequent pattern mining techniques have been proposed to discover patterns in trajectory datasets and more generally, event sequences. However, existing approaches are inapplicable for co movement pattern mining from multi trajectory datasets. In this paper, we propose a novel and efficient framework for co movement pattern mining. We also extend this framework for efficient mining of such patterns at multiple spatial scales. The performance of the proposed solutions is evaluated by conducting extensive experiments using two real datasets, a soccer game dataset and a human gait dataset. Our experimental results show that our proposed algorithms are promising.
Exploring the Recent Trends of Paraphrase Detection
Venue: International Journal of Computer Applications
Year: 2019

This study is to examine paraphrase detection (PD) for diagnostic purposes. Which is defined as the capability to find and discover the similarity between sentences that are written in a natural language? Where detecting similar sentences written in natural language is extreme importance and it is very essential for computer software used in plagiarism detection, Q and A automated systems, text mining, authorship authentication and text recapitulation. The goal of paraphrase detection is to detect whether two statements have the identical semantic or not. There is hundreds of empirical research in this direction. This study will focus on the discussion of recent studies of the PD methods and will categorize them in two categories, supervised learning and unsupervised learning. Also will give an idea about text similarity, machine learning and deep learning approaches. The performance of the selected researches is assessed by how accurate the F measures are in detecting paraphrase in Microsoft Research Paraphrase Corpus (MSPR)
Endozoochorous dispersal of alien and native plants by two palearctic avian frugivores with special emphasis on invasive giant goldenrod Solidago gigantea
Venue: Central European Journal of Biology
Year: 2012

The role of frugivorous birds in dispersal of the seeds of fleshy fruited plants is well understood, but other groups of birds like granivores and omnivores can also act as vectors, especially in the process of non standard dispersal. In this study we examined the role of two widely distributed birds (the Eurasian Blackbird, Turdus merula, and the Black Redstart, Phoenicurus ochruros) in seed dispersal. We analyzed the content of 279 droppings of the Black Redstart collected between July and October and 85 droppings of the Eurasian Blackbird collected during January. In total we found 366 seeds, representing 11 plant taxa, in the faecal samples; 93% of the seeds belonged to fleshy fruited species. The most numerous were two native taxa, Sambucus racemosa/nigra, in summer and autumn, Crataegus monogyna in winter, and one alien species Morus alba, which is dispersed in summer. We also found seeds of four dry fruited species; the most interesting of which was the presence of anemochorous seeds of Solidago gigantea (a highly invasive alien species) The seeds were found only in droppings of the Eurasian Blackbird. Considering the obtained results the need for further studies on bird plant interactions should be a priority.
Mandalas des emotions et leurs treize objets
Year: 2018

Travaillant avec une population polytraumatisee ou les emotions sont soit gelees soit omnipresentes, nous avons experimente plusieurs annees le travail avec les mandalas des emotions qui ouvraient un espace intersubjectif permettant partage et renarration du vecu traumatique. Nous avons ensuite souhaite approfondir ce travail en tentant avec le patient de comprendre le role joue par les emotions dans sa vie, et ce qu'il souhaite etre et vivre dans le futur.
Coping strategies, optimism, and life satisfaction among first year university students in Italy: gender and age differences
Year: 2018

The transition to university appears to be a complex and delicate time in students' lives, involving a sequence of changes regarding both the personal/affective and social/professional spheres, facilitating students' ability to adapt to a new life context. It represents a challenging time that requires students to use adaptive resources to face many changes, including a new academic environment (Park and Adler Health Psychology, 22(6) 627, 2003; Anderson et al.  2000) This paper presents an investigation that focuses on Italian students in transition to university to assess existing gender and age differences in coping strategies and optimism. Furthermore, the study also was designed to explore the impact that coping strategies and optimism have on students' life satisfaction. The sample consists of 298 first year undergraduate Italian students enrolled in social science courses at the University of Cagliari (Sardinia) 152 (51% were female and 146 (49% were male. The ages of the participants ranged from 18 to 37 years, with a mean age of 23.2 years (SD 3.9) The statistical analysis revealed a strong influence from optimism and coping strategies on life satisfaction, as well as an important role played by both gender and age in shaping students' coping strategies, optimism, and life satisfaction. This research could contribute to helping students better face this life transition, thereby increasing life satisfaction and class attendance levels, improving academic performance, and reducing the number of university dropouts.
New types of marks available after the European Union Trade Mark Reform An Analysis in the light of the U.S. Trade mark law
Year: 2020

(2020) 3 This article analyzes one of the novelties brought about by the European Union trade mark reform; i.e. the removal of the graphic representation requirement opening opportunities to register new types of marks at the European Union Intellectual Property Office. In this article, the legal requirements for the registration of the non traditional trade marks under the legal frameworks of the European Union and the United States of America are discussed and the new provisions of the European Union trade mark law on the representation of trade marks are assessed.
Resample Based Ensemble Framework for Drifting Imbalanced Data Streams
Venue: IEEE Access
Year: 2019

Machine learning in real world scenarios is often challenged by concept drift and class imbalance. This paper proposes a Resample based Ensemble Framework for Drifting Imbalanced Stream (RE DI) The ensemble framework consists of a long term static classifier to handle gradual and multiple dynamic classifiers to handle sudden concept drift. The weights of the ensemble classifier are adjusted from two aspects. First, a time decayed strategy decreases the weights of the dynamic classifiers to make the ensemble classifier focus more on the new concept of the data stream. Second, a novel reinforcement mechanism is proposed to increase the weights of the base classifiers that perform better on the minority class and decrease the weights of the classifiers that perform worse. A resampling buffer is used for storing the instances of the minority class to balance the imbalanced distribution over time. In our experiment, we compare the proposed method with other state of the art algorithms on both real world and synthetic data streams. The results show that the proposed method achieves the best performance in terms of both Prequential AUC and accuracy.
A focus on cross purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR)
Venue: Systematic Reviews
Year: 2020

The fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 5 6 November 2019 in The Hague, the Netherlands. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. The group seeks to facilitate the development and acceptance of automated techniques for systematic reviews. In 2018, the major themes discussed were the transferability of automation tools (i.e. tools developed for other purposes that might be used by systematic reviewers) the automated recognition of study design in multiple disciplines and applications, and approaches for the evaluation of automation tools.
What Is Memory Guided Attention? How Past Experiences Shape Selective Visuospatial Attention in the Present.
Venue: Current topics in behavioral neurosciences
Year: 2018

What controls our attention? It is historically thought that there are two primary factors that determine selective attention: the perceptual salience of the stimuli and the goals based on the task at hand. However, this distinction doesn't neatly capture the varied ways our past experience can influence our ongoing mental processing. In this chapter, we aim to describe how past experience can be systematically characterized by different types of memory, and we outline experimental evidence suggesting how attention can then be guided by each of these different memory types. We highlight findings from human behavioral, neuroimaging, and neuropsychological work from the perspective of two related frameworks of human memory: the multiple memory systems (MMS) framework and the neural processing (NP) framework. The MMS framework underscores how memory can be separated based on consciousness (declarative and non declarative memory) while the NP framework emphasizes different forms of memory as reflective of different brain processing modes (rapid encoding of flexible associations, slow encoding of rigid associations, and rapid encoding of single or unitized items) We describe how memory defined by these frameworks can guide our attention, even when they do not directly relate to perceptual salience or the goals concerning the current task. We close by briefly discussing theoretical implications as well as some interesting avenues for future research.
Towards Practical Cybersecurity Mapping of STRIDE and CWE a Multi perspective Approach
Venue: 2021 29th Conference of Open Innovations Association (FRUCT)
Year: 2021

Cybersecurity practitioners seek to prevent software vulnerabilities during the whole life cycle of systems. Threat modeling which is done on the system design phase is an efficient way for securing systems; preventing system flaws is easier and more efficient than patching the security of the system later on. Therefore, many Secure Software Development methods include threat modeling as an integral part of the methodology. STRIDE is a popular threat modeling method used by many practitioners. Threat modelers using the STRIDE method work with abstract threat categories, and would benefit learning about the information about current system weaknesses and vulnerabilities. The information is available on the weakness and vulnerability databases (such as the CWE and the CVE) To our knowledge, there exists no mapping between the STRIDE threats and the actual weaknesses and vulnerabilities listed on the databases, thus hindering the effectiveness of the threat modeling and the DevSecOps and Secure Software Development Life Cycle methods as a whole. This work attempts to bridge the gap by exploring possible mappings between the STRIDE threats and the CWE weaknesses, with the goal of improving the cybersecurity processes from end to end. The paper explores three different approaches for mapping the STRIDE to the CWE weakness database, and discusses the findings. The paper concludes that the mapping between the STRIDE and the CWE "Technical Impact" and "Scope" elements of the CWE entries is the most prominent for the mapping. Paper also shows that other mappings were challenged by the different conceptual backgrounds between the threats and the weaknesses. The paper also discusses the challenges caused by the inherent vagueness of the items within the frameworks and the CWE and CVE databases, causing that the mappings to these databases remain largely as a manual tasks, which should be carried out by the domain experts.
Effect of supplemental heat on mortality rate, growth performance, and blood biochemical profiles of Ghungroo piglets in Indian sub tropical climate
Venue: Veterinary world
Year: 2016

The present study was conducted to explore the effect of supplemental heat on mortality rate, growth performance, and blood biochemical profiles of indigenous Ghungroo piglets in sub tropical cold and humid climatic conditions of Tripura, a state of the north eastern hill (NEH) region of India.  The experiment was conducted on 38 indigenous Ghungroo piglets from birth up to 60 days of age. Among the 38 piglets, 19 piglets were provided with supplemental heat ranging between 17.0degC and 21.1degC for the period of the first 30 days and thereafter between 24.1degC and 29.9degC for the next 30 days. The other 19 piglets were exposed to natural environmental minimum temperatures ranging between 7.2degC and 15.0degC during the first 30 days and then between 18.5degC and 25.5degC for the next 30 days.  The supplemental heat resulted in 10.6% reduction of piglet mortality from the 2nd till the 7th day of age. These beneficial effects could be related with the lower (p<0.05) plasma glutamate pyruvate transaminase (GPT) and cortisol levels and higher (p<0.05) plasma alkaline phosphatase (AP) concentrations in heat supplemented group compared to control group. Plasma AP, GPT, glucose, triiodothyronine, and luteinizing hormone concentrations decreased (p<0.05) gradually with the advancement of age in both control and supplemental heat treated piglets.  Supplemental heat could be beneficial since it is related to a reduction of piglet mortality during the first week of life under farm management system in the sub tropical climate of NEH region of India.
Historical review of advanced materials for electromagnetic interference (EMI) shielding: Conjugated polymers, carbon nanotubes, graphene based composites
Year: 2019

Electromagnetic (EM) interference (EMI) "an off shoot of explosive growth of electronics and telecommunications" is becoming an alarming issue for modern society. It may degrade the EM device performance or may adversely affect human health. Recently, polymer based blends and composites have emerged as powerful solution for efficient suppression of EM noises; thanks to the unique combination of electrical, thermal, dielectric, magnetic and/or mechanical properties, possessed by them. This review focuses on the basics of EMI shielding/microwave absorption, various techniques for measurement of shielding effectiveness, theoretical aspects of shielding, governing equations. In addition, different strategies and potential materials for handling of EMI have also been discussed with special reference to polymer based blends and composites especially those based on carbon nanotubes (CNTs) graphene and intrinsically conducting polymers (ICPs)