nils-herrmann/clean_scirepeval huggingface dataset:
Securing SIFT: Privacy Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data
Venue: IEEE Transactions on Image Processing

Advances in cloud computing have greatly motivated data owners to outsource their huge amount of personal multimedia data and/or computationally expensive tasks onto the cloud by leveraging its abundant resources for cost saving and flexibility. Despite the tremendous benefits, the outsourced multimedia data and its originated applications may reveal the data owner's private information, such as the personal identity, locations, or even financial profiles. This observation has recently aroused new research interest on privacy preserving computations over outsourced multimedia data. In this paper, we propose an effective and practical privacy preserving computation outsourcing protocol for the prevailing scale invariant feature transform (SIFT) over massive encrypted image data. We first show that the previous solutions to this problem have either efficiency/security or practicality issues, and none can well preserve the important characteristics of the original SIFT in terms of distinctiveness and robustness. We then present a new scheme design that achieves efficiency and security requirements simultaneously with the preservation of its key characteristics, by randomly splitting the original image data, designing two novel efficient protocols for secure multiplication and comparison, and carefully distributing the feature extraction computations onto two independent cloud servers. We both carefully analyze and extensively evaluate the security and effectiveness of our design. The results show that our solution is practically secure, outperforms the state of the art, and performs comparably with the original SIFT in terms of various characteristics, including rotation invariance, image scale invariance, robust matching across affine distortion, and addition of noise and change in 3D viewpoint and illumination.
Chronic Rhinosinusitis and Irritable Bowel Syndrome: A Case Report.
Venue: Integrative medicine

Chronic rhinosinusitis (CRS) and irritable bowel syndrome (IBS) can be comorbidities that are difficult to treat. In this patient, an evidence informed treatment pathway guided by laboratory biomarkers was used to address both conditions.  A 69 y old female patient presented with a 50 y history of sinusitis that was worse in the winter, postnasal drip, frequent sore throats, gastrointestinal complaints, headaches, and yeast infections. Two sinus surgeries (in years 2000 and 2002) and multiple courses of antibiotics had not resolved her sinus symptoms. In addition to CRS and IBS, this patient was noted to have intestinal overgrowth of Candida albicans, multiple food sensitivities, and leaky gut syndrome.  Antifungal medication and dietary changes in the course of 8 mo resulted in the resolution of her CRS and IBS.
Classification and description of world formation types

An ecological vegetation classification approach has been developed in which a combination of vegetation attributes (physiognomy, structure, and floristics) and their response to ecological and biogeographic factors are used as the basis for classifying vegetation types. This approach can help support international, national, and subnational classification efforts. The classification structure was largely developed by the Hierarchy Revisions Working Group (HRWG) which contained members from across the Americas. The HRWG was authorized by the U.S. Federal Geographic Data Committee (FGDC) to develop a revised global vegetation classification to replace the earlier versions of the structure that guided the U.S. National Vegetation Classification and International Vegetation Classification, which formerly relied on the UNESCO (1973) global classification (see FGDC 1997; Grossman and others 1998) This document summarizes the development of the upper formation levels. We first describe the history of the Hierarchy Revisions Working Group and discuss the three main parameters that guide the classification it focuses on vegetated parts of the globe, on existing vegetation, and includes (but distinguishes) both cultural and natural vegetation for which parallel hierarchies are provided. Part I of the report provides an introduction to the overall classification, focusing on the upper formation levels. Part II provides a description for each type, following a standardized template format. These descriptions are a first preliminary effort at global descriptions for formation types, and are provided to give some guidance to our concepts. Cover photos of Cool Temperate Forests from around the world. Clockwise from top left: 1. Western Eurasian Forest Woodland division: European beech (Fagus sylvatica) forest in Czech Republic (by Scott Franklin) 2. Eastern North American Forest Woodland division: Eastern Hemlock Sugar Maple (Tsuga canadensis Acer saccharum) forest in central Wisconsin, United States (by Don Faber Langendoen) 3. Eastern Asian Forest Woodland division: Oak pine bamboo forest in Foping National Nature Reserve, Shaanxi Province, China (by Scott Franklin) 4. Valdivian Forest division: Southern beech (Nothofagus spp. forest in Altos de Lircay National Reserve, Chile (by Bruce Young) 5. Southeast Australian Cool Temperate Forest Woodland division: Australian Alps mainly Mountain Ash (Eucalyptus regnans) (by Andy Gillison) Classification and Description of World Formation Types Don Faber Langendoen, Todd Keeler Wolf, Del Meidinger, Carmen Josse, Alan Weakley, David Tart, Gonzalo Navarro, Bruce Hoagland,  Eileen Helmer Hierarchy Revisions Working Group FGDC Vegetation Subcommittee Forest Rocky Mountain General Technical Service Research Station Report RMRS GTR 346 August 2016 United States Department of Agriculture
Environmental changes and human land use interactions in ancient Thrace during the Iron Age: The impact of Greek colonization

The present thesis deals with the interrelationship between environmental changes and the Thracian society whose development took place in the surrounding environment undergoing fundamental transformation during the first millennium BC. The more significant impact of increasing human activities on the landscape, namely cultivation of plants and pastoralism, both connected with extensive deforestation, associated with the higher social and economic pressure can be detected since the Late Bronze Age and Early Iron Age. In the following phase of agriculture development, since the seventh century BC when the first Greek colonies were founded in the Northern Aegean, Thrace became an important part of the Eastern Mediterranean macro region. Vegetation cover and its changes influenced by local land use and livelihoods is studied on the basis of identification and interpretation of anthropological indicators, contained in the plant macroremains and pollen assemblages. Geographically, the palaeoecological and archaeobotanical studies included in this thesis are focused on inland Ancient Thrace, i.e. the territory of the modern Bulgaria. For better understanding of vegetation history, settlement pattern and subsistence strategies, the archaeobotanical records of cultivated and ruderal plants or weeds acquired from the sites dated to the Early Iron Age (Ezero and Lake Durankulak) and the Thracian period (Koprivlen and Pistiros) are also compared. Klicova slova (cesky) Klima, vegetace, zemedelstvi, Thrakie, Pistiros, krajina Klicova slova (anglicky) Climate, vegetation, agriculture, Thrace, Pistiros, environment
Late Bronze Age to Iron Age land use and subsistence strategies in the Semirech'ye region of Kazakhstan

This thesis presents the results of phytolith and faecal spherulite analysis from three sites in the Semirech'ye region of south eastern Kazakhstan, dating from the Bronze Age to the Iron Age (3rd to 1st millennia BC) The primary aim of the research is to generate new data relating to the exploitation of plant resources that can inform on changing land use and subsistence strategies over time. The research is placed in the context of the current understanding of the archaeological and palaeoclimatic record for the region, and aims to offer new insights into the transitional period from the Late Bronze Age to the Iron Age, around the turn of the 1st millennium BC. During this period both the archaeological and palaeoclimatic records point to significant changes in material culture, social organisation, and climate, and this thesis proposes resilience theory as a theoretical model with which to integrate these multi level data and conceptualise human environment interactions in the Semirech'ye region and the wider Eurasian steppe zone.
Seaport CSR: innovation for economic, social and environmental objectives

Seaports have gained importance in recent years, but they have also featured fundamental changes. For example, societal and environmental pressures have increased. As a consequence of these pressures, corporate social responsibility has gradually been introduced also in the ports sector. One of the impacts is at the level and type of innovation. The purpose of this paper is to focus on the way that corporate social responsibility emerges among company goals in seaports and the extent to which innovation initiatives respond to the goals raised.  To reach its objective, the paper applies a two step approach. Starting from scientific literature, it drafts an initial set of port related company goals. This list is validated through a Delphi approach. In a second step, the paper applies a scoring of how port innovation initiatives respond to the raised goals. Furthermore, it determines the degree of homogeneity of both the objective scoring and the innovation scoring, and those two are then compared.  The paper derives how relevant a specific innovation action is to a specific company goal, and to which extent it actually contributes to achieving the goal. The most relevant objectives turn out to be turnover and CO2 emissions. It furthermore seems that the social objectives are best achieved. Best achievable seem the "dangerous goods" and "training"  The results give insight into which socially important objectives need public support, and which initiatives are to be stimulated.  The results allow making an initial typology of actions and conditions that contribute to innovation "success"
THE INFLUENCE OF CSR, INNOVATION AND SUPPLY CHAIN PARTNERSHIP ON FIRM COMPETITIVENESS

Corporate social responsibility (CSR) is crucial for competitive advantage and survival of firms globally. In the pursuit of excellence, many firms have embarked on CSR programs, considering that it is not a financial burden but a strategic roadmap to increase and maintain their brand reputation, to overcome competitive pressures successfully and to efficiently and effectively lower operating cost with profit maximisation through innovation and supply chain partnership. However, in the process of becoming good players of CSR to society, innovative dimension for sustainability as well as an organisation's supply chain partnership may be essential determinants to enhance good firm business processes and performance activities. In other words, to realise CSR, firms should have a strong environmental measure and well integrated supply chain practices closely related to their business objectives and structures. The purpose of this paper, therefore, is to examine the influence of CSR on innovation, supply chain partnership and firm competitiveness on firms around Vanderbijlpark, South Africa. Through a quantitative method using smart PLS, this study tested the relationships among the four variables, which are CSR, innovation, supply chain partnership and firm competitiveness. The results showed that there is a positive relationship between the four proposed hypotheses.  There is a positive relationship between CSR and innovation; H2: There is a positive relationship between CSR and supply chain partnership; H3: There is a positive relationship between innovation and firm competitiveness; H4: There is a positive relationship between supply chain partnership and firm competitiveness. The proposed study is expected to have practical and theoretical implications to policy makers and managers. In addition, it will provide added insights and new knowledge to the existing body of literature hitherto not studied extensively in South African firms.
Optimization Using Boundary Lookup Jump Point Search
Venue: IEEE Transactions on Computational Intelligence and AI in Games

Cache based path finding algorithms lose much of their advantage in dynamic environments where fast online search algorithms are required. Jump point search (JPS) is such a fast algorithm. It works by eliminating most map nodes from evaluation during path expansion. Boundary lookup jump point search (BL JPS) is a modification that improves the speed of JPS. BL JPS records the positions of obstacle boundaries and uses these via direct lookup to eliminate much of the iteration involved in searching for jump points in the JPS algorithm. Two sets of experiments are presented, demonstrating the effects of BL JPS in both static and dynamic environments. The effects of different approaches to cache rebuilding for JPS+ in dynamic environments are also evaluated. Results show that BL JPS is generally much faster than JPS. It is slower than JPS+ in static environments, but in dynamic environments, BL JPS outperforms JPS+ for a single search. When multiple paths are searched, the effects of cache rebuilding gradually dominate the effects of search speed, resulting in JPS+ again becoming faster. However, combining JPS+ with BL JPS provides a very fast path finding algorithm (BL JPS+ that outperforms JPS+ over a range of map types and numbers of paths searched.
A fast scene matching method for navigation system based on the improved Hausdorff distance
Venue: 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

The improved Hausdorff distance (Hausdorff distance: HD for short) is often used as a similarity measure in the scene matching navigation system for its high adaptability. To solve the problem of poor real time with HD based match, roughness to precision hierarchical match method is often used based on multi resolution technique. However, this method is not suitable for the case of small actual image. By analyzing the characteristic of HD and the adaptability of hierarchical match based on wavelet decomposition, an adaptive fast scene matching method combining pixel jump search with wavelet decomposition is proposed in this paper. Simulation results show that the proposed adaptive method takes less time than the wavelet decomposition based matching method, and that the match point is still correct in the case of small actual image.
Visual Saliency Using Binary Spectrum of Walsh Hadamard Transform and Its Applications to Ship Detection in Multispectral Imagery
Venue: Neural Processing Letters

Detection of visual saliency is valuable for applications like robot navigation, adaptive image compression, and object recognition. In this paper, we propose a fast frequency domain visual saliency method by use of the binary spectrum of Walsh Hadamard transform (WHT) The method achieves saliency detection by simply exploiting the WHT components of the scene under view. Unlike space domain based approaches, our method performs the cortical center surround suppression in frequency domain and thus has implicit biological plausibility. By virtue of simplicity and speed of the WHT, the proposed method is very simple and fast in computation, and outperforms existing state of the art saliency detection methods, when evaluated by using the capability of eye fixation prediction. In arduous tasks of ship detection in multispectral imagery, large amount of multispectral data require real time processing and analyzing. As a very fast and effective technique for saliency detection, the proposed method is modified and applied to automatic ship detection in multispectral imagery. The robustness of the method against sea clutters is further proved.
Three Convolutional Neural Network based models for learning Sentiment Word Vectors towards sentiment analysis
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

With the development of deep learning, word vectors (i.e. word embeddings) have been extensively explored and applied to many Natural Language Processing tasks (e.g. parsing, Named Entity Recognition, etc) However, the semantic word vectors learned from context have insufficient sentiment information for performing sentiment analysis at different text levels. In this work, we present three Convolutional Neural Network (CNN) based models to learn sentiment word vectors (SWV) which integrate sentiment information with semantic and syntactic information into word representations in three different strategies. Experimental results on benchmark datasets showed that sentiment word vectors are able to capture both sentiment and semantic information and outperform semantic word vectors for word level and sentence level sentiment analysis. Moreover, in combination with traditional NLP features, the sentiment word vectors achieve the best performance so far.
Pagtataya sa Modularisasyon ng K 12 sa Asignaturang Filipino: Tungo sa Pagbuo ng Modelo ng Ebalwasyon para Kagamitang Panturo na Tutugon sa Ika 21 Siglong Kasanayan

ABSTRAK Nakatuon ang pananaliksik sa pagtaya ng modyul ng K 12 sa asignaturang Filipino. Nilalayon nitong maihanay ang paralelismo ng TG (Teachers Guide) LM (Learning Module) at CG (Curriculum Guide) sa isaaEUR(tm)t isa; mailarawan ang lawak ng nilalaman at pamamaraan at kasanayan na nakapaloob sa modyul na kaugnay sa ika 21 siglong kasanayan na dapat taglayin ng mag aaral; mabakas ang mga problema na kinaharap sa modularisasyon ng Filipino sa K 12; at makapagmungkahi ng angkop na modelo sa pagsasagawa ng isang ebalwasyon para sa kagamitang panturo na tutugon sa ika 21 Siglong Kasanayan. Upang maisagawa ito, nagsagawa ng focus group discussion sa mga guro ng dalawang paaralang gumagamit ng modyul. Gayundin ay sinipat at sinuri ng mananaliksik ang mga gawain ng modyul kung ito ay tumutugon sa ika 21 siglong kasanayan. Mula rito, nalaman na hindi nakatutugon ang nasabing kagamitang panturo sa ika 21 siglong kasanayan ngunit para sa mga guro na gumagamit nito ay lubos naman silang sumasangayon na may bahagi ng modyul na makikitaan ng ika 21 siglong kasanayan. Batay sa mga datos na nakalap ng mananaliksik, bumuo ang mananaliksik ng Modelo ng balwasyon para Kagamitang Panturo na Tutugon sa Ika 21 Siglong Kasanayan. Iminumungkahi ng pananaliksik na gamitin ito sa nalalabi pang mga modyul sa Filipino na ginagamit sa K 12.  The research focuses in assessment of modules in K 12 for Filipino subjects. The objectives are the following: (1) To see the parallelism of TeacheraEUR(tm)s Guide, Learning Modules, and the Curriculum Guide to each other; (2) to describe the scope of the content, strategy and skills in the modules based on the 21st century skills; (3) To trace the problem in using the modules in Filipino; and lastly to suggest appropriate model to evaluate a teaching materials based on the 21st Century Skills. The researcher used Focus Group Discussion for teachers in the two high schools that uses the modules. The researcher also analyze the activities in modules if its suited for the development of 21st century skills. Based on the findings of the study the researcher develop an Evaluation Model for Teaching Materials Based on the 21st Century Skills. The researcher suggest to used the said model for the other modules in Filipino.
An examination of the impact of drug court clients' perceptions of procedural justice on graduation rates and recidivism

Over the years, researchers have found drug courts reduce recidivism for participants. Scholars have hypothesized that drug courts are effective at producing positive outcomes for participants due in part to a case management approach that implements concepts of procedural justice. Using a convenience sample of participants involved in one drug court, this study adds to the limited body of research on procedural justice and drug courts by examining whether variation in drug court clients' perceptions of procedural justice is related to their likelihood of graduation from drug court and recidivism. Results, policy implications, and recommendations for future research are discussed.
Stress sensitivity analysis and optimization of automobile body frame consisting of rectangular tubes

At conceptual design stage, beam element is extensively used to create the frame structure of automobile body, which can not only archive the accurate stiffness but also reduce much computational cost. However, the stress definition of beam element is very complex so that the stress sensitivity and optimization are difficult to analytically derive and numerically program. This paper presents an solution to this problem and an application in the lightweight optimization design of automobile frame. Firstly, maximal Von Mises stress of rectangular tube is calculated by using the superposition of stress, which is together induced by the axial force, bending moments, torsional moment and shear force. Secondly, the sensitivity of Von Mises Stress with respect to size design variables: breadth, height and thickness are derived, respectively. Thirdly, an optimal criterion is constructed by Lagrangian multiplier method to solve the frame optimization with stress constraints. Lastly, numerical example of car frame proves that the proposed method can guarantee the stress of each beam element almost fully reaches at the yielding stress.
Vibroacoustic optimization using a statistical energy analysis model

In this paper, an optimization technique for medium high frequency dynamic problems based on Statistical Energy Analysis (SEA) method is presented. Using a SEA model, the subsystem energies are controlled by internal loss factors (ILF) and coupling loss factors (CLF) which in turn depend on the physical parameters of the subsystems. A preliminary sensitivity analysis of subsystem energy to CLF's is performed to select CLF's that are most effective on subsystem energies. Since the injected power depends not only on the external loads but on the physical parameters of the subsystems as well, it must be taken into account under certain conditions. This is accomplished in the optimization procedure, where approximate relationships between CLF's, injected power and physical parameters are derived. The approach is applied on a typical aeronautical structure: the cabin of a helicopter.
A centralized approach for voltage control of MV distribution systems using DGs power control and a direct sensitivity analysis method
Venue: 2016 IEEE International Energy Conference (ENERGYCON)

In this paper an algorithm based on the voltage sensitivity analysis is developed in order to keep the system voltages within the permitted limits. The proposed algorithm modifies active and reactive powers of distributed generation (DG) units in a medium voltage (MV) distribution system to do so. It consists of a load flow algorithm, a sensitivity analysis method and an optimization part. The load flow algorithm is used here for evaluating the system voltages. A direct voltage sensitivity analysis method is presented which is based on the topological structure of the network and independent of the network operating points. The problem of DGs active and reactive powers control is formulated as an optimization problem that uses the sensitivity analysis for linearizing the system around its operating points. Simulation results confirm that the proposed algorithm manages efficiently the voltage constraints and thanks to utilization of the sensitivity analysis, it is very fast.