nils-herrmann/clean_scirepeval huggingface dataset:
HDRFusion: HDR SLAM Using a Low Cost Auto Exposure RGB D Sensor
Venue: 2016 Fourth International Conference on 3D Vision (3DV)

Most dense RGB/RGB D SLAM systems require the brightness of 3 D points observed from different viewpoints to be constant. However, in reality, this assumption is difficult to meet even when the surface is Lambertian and illumination is static. One cause is that most cameras automatically tune exposure to adapt to the wide dynamic range of scene radiance, violating the brightness assumption. We describe a novel system HDRFusion which turns this apparent drawback into an advantage by fusing LDR frames into an HDR textured volume using a standard RGB D sensor with auto exposure (AE) enabled. The key contribution is the use of a normalised metric for frame alignment which is invariant to changes in exposure time. This enables robust tracking in frame to model mode and also compensates the exposure accurately so that HDR texture, free of artefacts, can be generated online. We demonstrate that the tracking robustness and accuracy is greatly improved by the approach and that radiance maps can be generated with far greater dynamic range of scene radiance.
Some innovations in the Law on general administrative procedure 'administrative proceeding'

In 2016 the Republic of Serbia passed the new Law on general administrative procedure. However, the new Law regulates not only procedural, but also substantive institutions. In this paper the authors analyze the problems of this inappropriate way of legal regulation. The Analyze shows that these substantive institutions are created artificially. As a result there are vague and imprecise criteria for their definition and delimitation, as well as numerous contradictions.
Particle Swarm Optimization Performance: Comparison of Dynamic Economic Dispatch with Dantzig Wolfe Decomposition

Economic Dispatch (ED) problem, in practice, is a nonlinear, non convex type,which has developed gradually into a serious task management goal in the planning phase of the power system. The prime purpose of Dynamic Economic Dispatch (DED) is to minimize generators' total cost of the power system. DED is to engage the committed generating units at a minimum cost to meet the load demand while fulfilling various constraints. Utilizing heuristic, population based, and advanced optimization technique, Particle Swarm Optimization (PSO) represents a challenging problem with large dimension in providing a superior solution for DED optimization problem. The feasibility of the PSO method has been demonstrated technically, and economically for two different systems, and it is compared with the Dantzig Wolfe technique regarding the solution quality and simplicity of implementation. While Dantzig Wolfe method has its intrinsic drawbacks and positive features, PSO algorithm is the finest and the most appropriate solution. Conventional techniques have been unsuccessful to present compatible solutions to such problems due to their susceptibility to first estimates and possible entrapment into local optima which may complicate computations.
Combinatorics Meets Potential Theory
Venue: Electron. J. Comb.

Using potential theoretic techniques, we show how it is possible to determine the dominant asymptotics for the number of walks of length $n$ restricted to the positive quadrant and taking unit steps in a balanced set \Gamma$ T he approach is illustrated through an example of inhomogeneous space walk This walk takes its st eps in \leftarrow, \uparrow, \rightarrow, \downarrow or \swarrow, \leftarrow, \nwarrow, \uparrow, \nearrow, \rightarrow, \searrow, \downarrow depending on the parity of the coordinates of its positions. The exponential growth of our model is (4\phi)^n$ where \phi= \frac{1+\sqrt 5}{2} denotes the Golden ratio, while the subexponential growth is like $1/n$ As an application of our approach we prove the non D finiteness in two dimensions of the length generating functions corresponding to nonsingular small step sets with an infinite group and zero drift
De Novo Assembly of Plasmids Using Yeast Recombinational Cloning.
Venue: Methods in molecular biology

Molecular cloning is a cornerstone of modern biology laboratories. However, traditional cloning can be time consuming and problematic. We outline herein a method that utilizes the endogenous gap repair system of yeast cells to clone and assemble DNA constructs. This system is simple, cheap, and requires minimal reagents. It can be used for the assembly of both simple (single DNA fragments) and complex (multiple DNA fragments) constructs into plasmids.
Parameter Free Auto Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi Supervised Classification
Venue: IJCAI

Graph based approaches have been successful in unsupervised and semi supervised learning. In this paper, we focus on the real world applications where the same instance can be represented by multiple heterogeneous features. The key point of utilizing the graph based knowledge to deal with this kind of data is to reasonably integrate the different representations and obtain the most consistent manifold with the real data distributions. In this paper, we propose a novel framework via the reformulation of the standard spectral learning model, which can be used for multiview clustering and semisupervised tasks. Unlike other methods in the literature, the proposed methods can learn an optimal weight for each graph automatically without introducing an additive parameter as previous methods do. Furthermore, our objective under semisupervised learning is convex and the global optimal result will be obtained. Extensive empirical results on different real world data sets demonstrate that the proposed methods achieve comparable performance with the state of the art approaches and can be used more practically.
Large Polarimetric SAR Data Semi Supervised Classification With Spatial Anchor Graph
Venue: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recently, graph based semi supervised classification (SSC) has attracted considerable attentions as it could enhance classification accuracy by utilizing only a few labeled samples and large numbers of unlabeled samples via graphs. However, the construction of graphs is time consuming especially for large scale polarimetric synthetic aperture radar (PolSAR) data. Moreover, speckle noise in images remarkably degrades the accuracy of the constructed graph. To address these two issues, this paper proposes a novel spatial anchor graph for large scale PolSAR terrain classification. First, the PolSAR image is segmented to obtain homogeneous regions. The features of each pixel are weighted by that of the surrounding pixels from the homogeneous regions to reduce the influence of the speckle noise. Second, Wishart distance based clustering is performed on the weighted features, and the cluster centers are computed and serve as initial anchors. Then, the label of each pixel is predicted by the label of its nearest anchors on the spatial anchor graph which is constructed through solving an optimization problem. Experimental results on synthesized PolSAR data and real ones from different approaches show that the proposed method reduces the computational complexity to a linear time, and the graph combined with the spatial information suppresses the speckle noise and enhances the classification accuracy in comparison with state of the art graph based SSCs when only a small number of labeled samples are available.
Toughening of Epoxy Nanocomposites: Nano and Hybrid Effects

In this paper, we review recent progress made in the field of epoxy based binary and ternary nanocomposites containing three two and one dimensional (i.e. 3D 2D and 1D) nano size fillers with a special focus on their fracture behaviors. Despite investigations conducted so far to evaluate the crack resistance of epoxy nanocomposites and attempts made to clarify the controlling toughening mechanisms of these materials, some questions remain unsolved. It is shown that silica nanoparticles can be as effective as rubber particles in improving the fracture toughness/energy; but incorporation of carbon nanotubes (CNTs) or clay platelets in epoxy matrices delays crack growth only modestly. The "nano" effects of silica <25 vol. and rubber >10 wt. nanoparticles in toughening epoxy resin are confirmed by comparison with silica and rubber micro particles of the same loading. There is clear evidence of both synergistic and additive toughening effects in the silica/rubber/epoxy ternary nanocomposites. In addition, positive hybrid toughening effect has been observed in the nano rubber/CNT/epoxy composites; however, a negative hybrid effect is predominant in nano clay/nano rubber/epoxy ternary nano composites. Future research directions for epoxy based nanocomposites towards multi functional applications are discussed.
Impact of visual performance management systems on the performance management practices of organisations

The purpose of this paper was to explore how visual strategy and performance management techniques impact performance measurement and management practices of organisations. A novel visual performance management approach is developed and implemented in qualitative case studies with seven manufacturing SMEs across Europe. The implementation cases demonstrate that visual management systems serve to support ongoing strategy development and implementation, facilitate performance measurement and review, enable people engagement, improve internal and external communication, enhance collaboration and integration, support the development of a continuous improvement culture and foster innovation. Additional explorative and longitudinal research is required to understand the long term impact of such approaches in both small and larger organisations.
A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems
Venue: International journal of production research

Key performance indicators (KPIs) are critical for manufacturing operation management and continuous improvement (CI) In modern manufacturing systems, KPIs are defined as a set of metrics to reflect operation performance, such as efficiency, throughput, availability, from productivity, quality and maintenance perspectives. Through continuous monitoring and measurement of KPIs, meaningful quantification and identification of different aspects of operation activities can be obtained, which enable and direct CI efforts. A set of 34 KPIs has been introduced in ISO 22400. However, the KPIs in a manufacturing system are not independent, and they may have intrinsic mutual relationships. The goal of this paper is to introduce a multi level structure for identification and analysis of KPIs and their intrinsic relationships in production systems. Specifically, through such a hierarchical structure, we define and layer KPIs into levels of basic KPIs, comprehensive KPIs and their supporting metrics, and use it to investigate the relationships and dependencies between KPIs. Such a study can provide a useful tool for manufacturing engineers and managers to measure and utilize KPIs for CI.
Visualizing and Understanding Deep Texture Representations
Venue: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

A number of recent approaches have used deep convolutional neural networks (CNNs) to build texture representations. Nevertheless, it is still unclear how these models represent texture and invariances to categorical variations. This work conducts a systematic evaluation of recent CNN based texture descriptors for recognition and attempts to understand the nature of invariances captured by these representations. First we show that the recently proposed bilinear CNN model  is an excellent generalpurpose texture descriptor and compares favorably to other CNN based descriptors on various texture and scene recognition benchmarks. The model is translationally invariant and obtains better accuracy on the ImageNet dataset without requiring spatial jittering of data compared to corresponding models trained with spatial jittering. Based on recent work [13, 28] we propose a technique to visualize pre images, providing a means for understanding categorical properties that are captured by these representations. Finally, we show preliminary results on how a unified parametric model of texture analysis and synthesis can be used for attribute based image manipulation, e.g. to make an image more swirly, honeycombed, or knitted. The source code and additional visualizations are available at http:/vis www.cs.umass.edu/texture.
Treatment of Obesity: Weight Loss and Bariatric Surgery.
Venue: Circulation research

This review focuses on the mechanisms underlying, and indications for, bariatric surgery in the reduction of cardiovascular disease (CVD) as well as other expected benefits of this intervention. The fundamental basis for bariatric surgery for the purpose of accomplishing weight loss is the determination that severe obesity is a disease associated with multiple adverse effects on health, which can be reversed or improved by successful weight loss in patients who have been unable to sustain weight loss by nonsurgical means. An explanation of possible indications for weight loss surgery as well as specific bariatric surgical procedures is presented, along with review of the safety literature of such procedures. Procedures that are less invasive or those that involve less gastrointestinal rearrangement accomplish considerably less weight loss but have substantially lower perioperative and longer term risk. The ultimate benefit of weight reduction relates to the reduction of the comorbidities, quality of life, and all cause mortality. With weight loss being the underlying justification for bariatric surgery in ameliorating CVD risk, current evidence based research is discussed concerning body fat distribution, dyslipidemia, hypertension, diabetes mellitus, inflammation, obstructive sleep apnea, and others. The rationale for bariatric surgery reducing CVD events is discussed and juxtaposed with impacts on all cause mortalities. Given the improvement of established obesity related CVD risk factors after weight loss, it is reasonable to expect a reduction of CVD events and related mortality after weight loss in populations with obesity. The quality of the current evidence is reviewed, and future research opportunities and summaries are stated.
Authenticity at work

Authenticity at work, loosely defined as the degree to which an individual stays true to their core self, has impact on workers in the workplace. This thesis shows that authenticity at work can be measured with a reliable and valid instrument: the IAM Work. Furthermore, results of this thesis show that high levels of authenticity at work related is to high levels of in role performance, work engagement, and job satisfaction. Conversely, low scores on experienced authenticity at work are associated with higher levels of burnout, boredom, and stress. Interestingly, the results show that the adverse effects of feeling inauthentic at work are more important than the possible benefits of feeling authentic at work. Practical implications are discussed in the thesis.  The present thesis is among the first to investigate the concept of authenticity at work. The findings presented here suggest that authenticity at work is a promising concept for research and practice in the field of work and organizational psychology. We successfully developed a short and reliable measure of authenticity at work (the IAM Work) showed possible adverse effects of not feeling authentic at work on well being, and shed first light on the role of authenticity in a work specific environment. All in all, the present thesis provides a strong foundation for further research using the concept of authenticity at work.
Employee engagement, boredom and frontline construction workers feeling safe in their workplace.
Venue: Accident; analysis and prevention

Systems thinking is a philosophy currently prevalent within construction safety literature that is applied to understand and improve safety in sociotechnical systems. Among systems, the site project organizational system is of particular interest to this paper. Using focus group and survey feedback research to learn about how safety incidents effect levels of construction workers engagement this paper reveals how a safety incident provides an opportunity to create a potential quality (productivity) upgrade within an organization. The research approach involved a qualitative study involving 27 frontline supervisors and a follow up survey completed by 207 frontline workers in the Australian Asphalt and Pavement Industry. The focus group interviews supported the articulation of the concepts of tacit safety, explicit safety, situational awareness, foresight ability, practical intelligence and crew synergy. Our findings indicate that having regular shift changes and other job site workers being fatigued are influential on perceptions of tacit safety. An individual's foresight ability was found to be the most potent predictor of worker perceptions of work engagement. The paper explains that relatively small improvements in worker perceptions of safety can bring about significant improvements in employee engagement and productivity.
Role of WTO in promoting merchandise trade of BRICS

Trade Organisation (WTO) was established on 1 January 1995 after the collapse of GATT and countries joined with the aim of better international trade. An important economic union of the present time is BRICS, all countries of the union being members of WTO. This study is based on identifying the role of WTO in promotion of merchandise trade of BRICS. The time period of the study is post WTO era from 1995 to 2014 and the estimation relies on the usage of econometric model developed on Baseline Gravity Model.
Non Discrimination and the Role of Regulatory Purpose in International Trade and Investment Law

Non discrimination is central to national treatment and most favoured national obligations under both World Trade Organization 'WTO' and international investment agreements, yet there are significant inconsistencies in the decided cases in both systems on what constitutes like (or sufficiently comparable) products, services, service providers, investors or investments 'PSSPII' and what constitutes less favourable treatment. WTO and international investment tribunals have invoked 'regulatory purpose' to assist in identifying relevant discrimination, but have done so without offering a definition of regulatory purpose and in significantly differing ways. This book argues that these inconsistencies are largely explained by the failure of WTO and international investment tribunals to explain the normative basis of their enquiries that is, to explain, by reference to the object and purpose of the agreement in question, what kind of discrimination is relevant. It offers a working definition of regulatory purpose as the actual and rational, objectively identifiable intended effects of a measure. It surveys and criticises the manner in which the concept has been used to date, arguing that, in relation to 'likeness' or 'like circumstances' regulatory purpose is at best evidence of differences or similarities between PSSPII and cannot rise any higher. The book argues, in relation to 'less favourable treatment' that regulatory purpose (as defined) should always be considered by a WTO or international investment tribunal. It proposes an 'enhanced' legitimate regulatory purpose exception as part of the 'less favourable treatment' standard under international investment agreements on the basis of treaty text and purpose and argues that in the WTO context, the Appellate Body's recent jurisprudence under the Technical Barriers to Trade Agreement suggests that it should reconsider the role of regulatory purpose under the GATT, in particular in relation to circumstances not falling within the enumerated paragraphs of Article XX. Throughout, the book compares and contrasts WTO and international investment law, drawing out several parallels and suggesting areas in which one might supply answers to questions arising in the other.
Quercetin, Inflammation and Immunity
Venue: Nutrients

In vitro and some animal models have shown that quercetin, a polyphenol derived from plants, has a wide range of biological actions including anti carcinogenic, anti inflammatory and antiviral activities; as well as attenuating lipid peroxidation, platelet aggregation and capillary permeability. This review focuses on the physicochemical properties, dietary sources, absorption, bioavailability and metabolism of quercetin, especially main effects of quercetin on inflammation and immune function. According to the results obtained both in vitro and in vivo, good perspectives have been opened for quercetin. Nevertheless, further studies are needed to better characterize the mechanisms of action underlying the beneficial effects of quercetin on inflammation and immunity.
Overviews of Biological Importance of Quercetin: A Bioactive Flavonoid
Venue: Pharmacognosy reviews

Antioxidants are substances that may protect cells from the damage caused by unstable molecules such as free radicals. Flavonoids are phenolic substances widely found in fruits and vegetables. The previous studies showed that the ingestion of flavonoids reduces the risk of cardiovascular diseases, metabolic disorders, and certain types of cancer. These effects are due to the physiological activity of flavonoids in the reduction of oxidative stress, inhibiting low density lipoproteins oxidation and platelet aggregation, and acting as vasodilators in blood vessels. Free radicals are constantly generated resulting in extensive damage to tissues leading to various disease conditions such as cancer, Alzheimer's, renal diseases, cardiac abnormalities, etc. Medicinal plants with antioxidant properties play a vital functions in exhibiting beneficial effects and employed as an alternative source of medicine to mitigate the disease associated with oxidative stress. Flavonoids have existed over one billion years and possess wide spectrum of biological activities that might be able to influence processes which are dysregulated in a disease. Quercetin, a plant pigment is a potent antioxidant flavonoid and more specifically a flavonol, found mostly in onions, grapes, berries, cherries, broccoli, and citrus fruits. It is a versatile antioxidant known to possess protective abilities against tissue injury induced by various drug toxicities.