nils-herrmann/clean_scirepeval huggingface dataset:
Advanced packaging methods for high power LED modules
Year: 2015

LED luminaires are already beyond retrofit systems, which are limited in heat dissipation due to the old fitting standards. Actual LED luminaries are based on new LED packages and modules. Heat dissipation through the first and second level interconnect is a key issue for a successful LED package. Therefore the impact of known bonding technologies as gluing and soldering and new technologies like sintering and transient liquid phase soldering were analyzed and compared. A realized hermetic high power LED package will be shown as example. The used new techniques result in a module extremely stable against further assembly processes and harsh operating conditions.
Organic nutrient uptake by mycorrhizal fungi enhances ecosystem carbon storage: a model based assessment.
Venue: Ecology letters
Year: 2011

Understanding the factors that drive soil carbon (C) accumulation is of fundamental importance given their potential to mitigate climate change. Much research has focused on the relationship between plant traits and C sequestration, but no studies to date have quantitatively considered traits of their mycorrhizal symbionts. Here, we use a modelling approach to assess the contribution of an important mycorrhizal fungal trait, organic nutrient uptake, to soil C accumulation. We show that organic nutrient uptake can significantly increase soil C storage, and that it has a greater effect under nutrient limited conditions. The main mechanism behind this was an increase in plant C fixation and subsequent increased C inputs to soil through mycorrhizal fungi. Reduced decomposition due to increased nutrient limitation of saprotrophs also played a role. Our results indicate that direct uptake of nutrients from organic pools by mycorrhizal fungi could have a significant effect on ecosystem C cycling and storage.
Service resizing for quick DDoS mitigation in cloud computing environment
Venue: Ann. des Telecommunications
Year: 2017

Current trends in distributed denial of service (DDoS) attacks show variations in terms of attack motivation, planning, infrastructure, and scale. "DDoS for Hire" and "DDoS mitigation as a Service" are the two services, which are available to attackers and victims, respectively. In this work, we provide a fundamental difference between a "regular" DDoS attack and an "extreme" DDoS attack. We conduct DDoS attacks on cloud services, where having the same attack features, two different services show completely different consequences, due to the difference in the resource utilization per request. We study various aspects of these attacks and find out that the DDoS mitigation service's performance is dependent on two factors. One factor is related to the severity of the "resource race" with the victim web service. Second factor is "attack cooling down period" which is the time taken to bring the service availability post detection of the attack. Utilizing these two important factors, we propose a supporting framework for the DDoS mitigation services, by assisting in reducing the attack mitigation time and the overall downtime. This novel framework comprises of an affinity based victim service resizing algorithm to provide performance isolation, and a TCP tuning technique to quickly free the attack connections, hence minimizing the attack cooling down period. We evaluate the proposed novel techniques with real attack instances and compare various attack metrics. Results show a significant improvement to the performance of DDoS mitigation service, providing quick attack mitigation. The presence of proposed DDoS mitigation support framework demonstrated a major reduction of more than 50% in the service downtime.
UNILATERAL SANCTIONS AND INTERNATIONAL RESPONSIBILITY OF THE THIRD STATE
Year: 2019

Despite the dramatic changes in the various international societies and the regulating of the international legal system and increasing dependence of countries on cooperation and interconnection with each other in the various fields, along with the human progress in the fields of science and technology, it is observed the increasing use of powerful countries such as the United States from the unilateral sanctions on behalf of its political, economic, dominant power against the other countries, especially the least developed countries, including the Islamic Republic of Iran. In most of the time, the third countries, considering the national interests and the economic and financial opportunities and threats, accompany with these countries in the case of the unilateral sanctions. The third state action, considering the 2001 draft of the international law commission on international State responsibility, has the international responsibility; now the question is whether these acts, as a violation of an international constitution, can be attributed to a third state. Our argument in this article is that the third state actions, in accompany with the unilateral sanctions, are the violation of international obligations, including the United Nations Chart, human rights obligations and the citizenship rights of that State and will give rise to the international responsibility of that State.
Reflections On Cross Culturalism: An Analysis Of Ruth Prawer Jhabvala's Heat And Dust
Venue: Think India
Year: 2019

Ruth Prawer Jhabvala in all her novels brings a sharp, incisive, ironic perspective to bear in treatment of the inter cultural and the inter racial encounters. She highlights the incongruous blending of the modes of life of the English and the Indians and it is based on her intimate understanding of the ideas, ideals and various life styles of the Indians. As all of Jhabvala's works came out after independence and the gruelling circumstances of partition, there is keen consciousness and candid expression of the fast changing milieu.
Abuse deterrent opioids: an update on current approaches and considerations
Venue: Current medical research and opinion
Year: 2018

Abuse and misuse of prescription opioids is a significant public health concern. This review examines the strategies used to confer abuse deterrent properties on opioid abuse deterrent formulations (ADFs) the characteristics and supporting data for each of the available ADFs, and the role of opioid ADFs as part of a comprehensive opioid risk management plan.  A PubMed search was performed for articles published within the last 10 years using the search terms "abuse deterrent opioids" Articles were limited to clinical studies and reviews focusing on United States (US) Food and Drug Administration (FDA) approved opioid ADFs in the US.  There are currently nine extended release and one immediate release opioid pain medications with US FDA approved ADF labelling. All use either physical and chemical barriers or agonist/antagonist combinations to deter manipulation and abuse. Evidence is mounting that introduction of opioid ADFs has been associated with decreased rates of abuse and diversion of opioids in the US.  Although not sufficient by themselves to prevent prescription opioid abuse and misuse, opioid ADFs are an important component of a healthcare provider's comprehensive opioid risk management plan (along with utilization of prescription drug monitoring programs, clinical assessment tools, urine tests, co prescribing of naloxone to patients at risk of an overdose, access to non pharmacological treatments and addiction/mental health resources, among others) Adoption of opioid ADFs should be considered as part of an overall public health opioid risk management plan involving all stakeholders to balance legitimate safe and effective use of opioids against misuse and abuse.
The Dynamic Impact of Renewable Energy Consumption on Economic Growth: The Case of Cote d'Ivoire
Venue: Journal of Economics and Sustainable Development
Year: 2019

This paper investigates the impact of renewable energy consumption on economic growth in Cote d'Ivoire by using the autoregressive distributed lags (ARDL) model. Capital and labor are included in the model as additional variables. Annual data cover the period from 1991 to 2015. The empirical results suggest that in the short run, the impact of renewable energy consumption on economic growth is mixed while in the long run, the impact is not significant. Our results also provide empirical evidence that the non renewable energy/renewable energy transition is not yet effective but is under process in Cote d'Ivoire.  Economic growth, Renewable energy consumption, Cote d'Ivoire DOI 10.7176/JESD/10 18 20 Publication date :September 30 th 2019
Data for Flipped Classroom Design: Using Student Feedback to Identify the Best Components from Online and Face to Face Classes.
Year: 2014

Colleges and universities have seen considerable enrollment growth in online courses during the past decade. However, online modalities are not optimal for all subject areas or students. There is growing interest in hybrid, blended, and flipped instruction as a way to incorporate the best of different delivery methods. This study investigates and identifies student preferences for both face to face and online learning. Participants were undergraduate students from a mix of freshman, junior, and senior level courses. An open response instrument was used to allow broad insights into students' responses without biasing or limiting the feedback. Results suggest that the most positive impact with face to face learning is interaction through class discussions, group projects and other types of active learning. Females responded more positively than male students to interactivity in face to face classes. The data further indicates the most positive impact with online learning experiences is the class structure that supports flexibility, organization, and clear expectations. Nontraditional students reported more positively than traditional students about the benefits of flexible classes with clear course structures. This report should be of interest to educators who wish to take a research based, student centric, data driven approach to the design of flipped or hybrid classrooms.
MPPT of Photovoltaic Systems Using Sensorless Current Based Model Predictive Control
Venue: IEEE Transactions on Industry Applications
Year: 2017

Variability in the solar irradiance level and ambient temperature of photovoltaic (PV) systems necessitates the use of maximum power point tracking (MPPT) of PV systems to ensure continuous harvesting of maximum power. This paper presents a sensorless current (SC) MPPT algorithm using model predictive control (MPC) The main contribution of this paper is the use of model based predictive control principle to eliminate the current sensor that is usually required for well known MPPT techniques such as perturb and observe (P&O) By predicting the PV system states in horizon of time, the proposed method becomes an elegant, embedded controller that allows faster response and lower power ripple in steady state than the conventional P&O technique under rapidly changing atmospheric conditions. This becomes possible without requiring expensive sensing and communications equipment and networks for direct measurement of solar irradiation changes. The performance of the proposed SC MPC MPPT with reduced load sensitivity is evaluated on the basis of industrial European Efficiency Test, EN 50530, that assesses the performance of PV systems under dynamic environmental conditions. The proposed control technique is implemented experimentally using dSPACE DS1007 platform to verify the simulation results.
Novel Adaptive Hierarchical Sliding Mode Control for Trajectory Tracking and Load Sway Rejection in Double Pendulum Overhead Cranes
Venue: IEEE Access
Year: 2019

Overhead cranes with double pendulum effect seem more practical than those with single pendulum effect. However, in this case, the dynamic performance analysis and the controller design become more difficult. Moreover, achieving both high precision trajectory tracking and load sway rejection is a more significant issue for crane systems. For these purposes, the nonlinear dynamics of an overhead crane with double pendulum effect is derived for the controller design. Then, a novel adaptive hierarchical sliding mode controller is presented. Unlike a traditional approach, the proposed one can make fixed sliding mode surface active to search the state trajectories. Such an adaptive design can make the states of the system to enter the desired sliding surface as soon as possible and, at the same time, can also improve the cart tracking precision. The Lyapunov technique and LaSalle's principle are employed to confirm the stability of the whole system. The experimental results validate that the proposed method has superior control performance and robustness with respect to parameter variations.
Quand le domicile devient un actif financier. Economie politique de la financiarisation du marche de l'habitation au Canada
Year: 2017

Depuis la fin des annees 1990, le marche canadien de l'habitation traverse une periode de forte croissance. En s'inspirant de differents courants de pensee en economie politique, cet article propose un cadre d'analyse pour examiner les transformations qui sont a l'origine de cette recente effervescence immobiliere et en retracer les principales etapes. Il met en lumiere la prise en charge financiere dont font desormais l'objet les pratiques residentielles ainsi que leur participation au processus de financiarisation du capitalisme.
Cultural adaptation and psychometric validation of the Caring Efficacy scale in a sample of Italian nurses
Venue: PloS one
Year: 2019

Caring is the essence of nursing practice. Caring Efficacy scale was developed with the purpose of measuring nurses' perceived self efficacy in orienting and maintaining caring relationships with patients. Since any instruments measuring caring self efficacy have not been developed in Italy, the study aimed at culturally adapting and validating Caring Efficacy scale in a sample of Italian nurses. A total of 300 registered nurses were asked to fill a self reported questionnaire; translation back translation procedure was carried out to maintain semantic, idiomatic and conceptual equivalence of the original scale. Then, factor analysis was performed in order to test appropriateness of the factor structure. Convergent and discriminant validity was also tested. A two factor structure with 17 items was found. Results show that Cronbach's Alpha value was 0.84 for Confidence to Care, and 0.75 for Doubts and Concerns. Correlation analysis for convergent and discriminant validity showed that Confidence to Care was positively correlated with sense of coherence and no significant correlation with Doubts and Concerns was found. Caring efficacy scale can be used by nurse managers as a way of assessing nurses' self efficacy and their caring orientation, thus improving quality of patient care.
Autoscanning for coupled scene reconstruction and proactive object analysis
Venue: ACM Trans. Graph.
Year: 2015

Detailed scanning of indoor scenes is tedious for humans. We propose autonomous scene scanning by a robot to relieve humans from such a laborious task. In an autonomous setting, detailed scene acquisition is inevitably coupled with scene analysis at the required level of detail. We develop a framework for object level scene reconstruction coupled with object centric scene analysis. As a result, the autoscanning and reconstruction will be object aware, guided by the object analysis. The analysis is, in turn, gradually improved with progressively increased object wise data fidelity. In realizing such a framework, we drive the robot to execute an iterative analyze and validate algorithm which interleaves between object analysis and guided validations. The object analysis incorporates online learning into a robust graph cut based segmentation framework, achieving a global update of object level segmentation based on the knowledge gained from robot operated local validation. Based on the current analysis, the robot performs proactive validation over the scene with physical push and scan refinement, aiming at reducing the uncertainty of both object level segmentation and object wise reconstruction. We propose a joint entropy to measure such uncertainty based on segmentation confidence and reconstruction quality, and formulate the selection of validation actions as a maximum information gain problem. The output of our system is a reconstructed scene with both object extraction and object wise geometry fidelity.
Extension of the BiDO Ontology to Represent Scientific Production
Venue: Proceedings of the 2019 8th International Conference on Educational and Information Technology
Year: 2019

The SPAR Ontology Network is a suite of complementary ontology modules to describe the scholarly publishing domain. BiDO Standard Bibliometric Measures is part of its set of ontologies. It allows describing of numerical and categorical bibliometric data such as h index, author citation count, journal impact factor. These measures may be used to evaluate scientific production of researchers. However, they are not enough. In a previous study, we determined the lack of some terms to provide a more complete representation of scientific production. Hence, we have built an extension using the NeOn Methodology to restructure the BiDO ontology. With this extension, it is possible to represent and measure the number of documents from research, the number of citations from a paper and the number of publications in high impact journals according to its area and discipline.
Tracking architectural defects in university building in Malaysia
Year: 2016

Building defects are always the key concern in the construction industry. Defects represent not only a loss to the project but also hamper the smooth operation of a building. Recognising the need to resolve these continuing problems, a research was mooted to track from the study of defects that occurred during the Defects Liability Period in a public university in Malaysia. This paper presents part of the research which investigates what can be learnt from the analysis of architectural defects in these projects. Two research objectives were developed (1) to investigate types of architectural defects that occurred and (2) to analyse the causes of the defects. A mixed methods approach is adopted. Data for the quantitative element of the research was drawn from defects audit records of the project. They were sorted, grouped and transferred into the SPSS software for analysis using the measure of central tendencies and frequency analysis. The findings suggest that with a proper methodology in place, defects can be effectively traced and categorised. This can provide very useful insights to their root cause and how this can be avoided in future projects.
Fracturas de femur proximal en edad pediatrica
Year: 2016

Las fracturas de cadera en la poblacion pediatrica son lesiones poco frecuentes, representando menos de 1% de todas las fracturas en este grupo de edad. Asociandose en su mayoria a lesiones de alta energia, sin embargo, presentandose tambien en pacientes con otras enfermedades que predisponen a lesiones oseas. La clasificacion anatomica se realiza segun DelbetColonna en el sitio afectado, incluyendose en este estudio las fracturas ubicadas en la region subtrocanterica. El metodo de tratamiento se determina por la edad, el tipo de fractura y las enfermedades concomitantes. La importancia del tratamiento adecuado y oportuno de estas fracturas radica en la prevencion de complicaciones tales como necrosis avascular, deformidades angulares, no union, dano fisario y consecuente discrepancia de longitud de miembros. Nivel de evidencia: IV (Serie de casos)
Conservative Q Improvement: Reinforcement Learning for an Interpretable Decision Tree Policy
Venue: ArXiv
Year: 2019

There is a growing desire in the field of reinforcement learning (and machine learning in general) to move from black box models toward more "interpretable AI." We improve interpretability of reinforcement learning by increasing the utility of decision tree policies learned via reinforcement learning. These policies consist of a decision tree over the state space, which requires fewer parameters to express than traditional policy representations. Existing methods for creating decision tree policies via reinforcement learning focus on accurately representing an action value function during training, but this leads to much larger trees than would otherwise be required. To address this shortcoming, we propose a novel algorithm which only increases tree size when the estimated discounted future reward of the overall policy would increase by a sufficient amount. Through evaluation in a simulated environment, we show that its performance is comparable or superior to traditional tree based approaches and that it yields a more succinct policy. Additionally, we discuss tuning parameters to control the tradeoff between optimizing for smaller tree size or for overall reward.
The Economic Impact of Consumer Purchases in Fast Fashion Stores
Venue: Studia Commercialia Bratislavensia
Year: 2019

In recent years fast fashion has become a new trend. Fast fashion has changed the way how consumers are dressed and think about fashion. Clothes became cheaper, and shopping became a form of entertainment. The aim of the paper is to identify the economic impact of consumer purchases in fast fashion stores. Authors discuss fast fashion situation using results of own consumer survey, case studies, research studies and secondary data applying analysis, Abstraction, synthesis, deduction, comparison, description, and specification. Authors conclude that consumers' purchases have a big impact on economics, because how we found out, fast fashion has a growing trend both in stores and in ecommerce. Form our survey it is evident that majority of consumers cannot link the high perceived quality of the clothing during shopping in fast fashion stores with achieved low level of durability during wearing. Increasing customer consumption can have a positive effect on economics, but also a negative impact on environment.
Sequential therapy of neoadjuvant biochemotherapy with cetuximab, paclitaxel, and cisplatin followed by cetuximab based concurrent bioradiotherapy in high risk locally advanced oral squamous cell carcinoma: Final analysis of a phase 2 clinical trial
Venue: Head neck
Year: 2019

The prognosis of advanced oral squamous cell carcinoma is poor. We investigated the effect of cetuximab based sequential therapy as a primary treatment.
Probabilistic properties of Self Exciting Threshold Autoregressive processes
Year: 2016

In the present paper we focus the attention on the ergodicity (and stationarity) of the Self Exciting Autoregressive (SETAR) process. In more detail we review and compare the results given in the literature highlighting the main theoretical issues. Starting from these contributions, we debate, taking advantage of case studies, on the opportunity to further investigate on the statistical properties of the SETAR models and in particular on the possibility to weaken its stationarity conditions.