nils-herrmann/clean_scirepeval huggingface dataset:
Conspirituality Reconsidered: How Surprising and How New is the Confluence of Spirituality and Conspiracy Theory?
Year: 2015

Those who have followed the development of online new religiosity over the past decade will not have failed to notice that conspiracy theories and 'New Age' ideas are thriving together. But how new and how surprising is the phenomenon of 'conspirituality' In the present article, we challenge the thesis put forward by Charlotte Ward and David Voas in their article of 2011, published in the Journal of Contemporary Religion, that a confluence of spirituality and conspiracism has emerged in the past two decades as a form of New Age theodicy. Instead, we argue, on theoretical grounds, that conspirituality can be viewed as a predictable result of structural elements in the cultic milieu and, on historical grounds, that its roots stretch deep into the history of Western esotericism. Together, these two considerations allow us not only to suggest that conspirituality is old and predictable, but also to identify a large potential for further research which will contribute to the study of conspiracy culture and enable a new line of comparative research in religious studies.
Overexpression of an Arabidopsis thaliana galactinol synthase gene improves drought tolerance in transgenic rice and increased grain yield in the field
Venue: Plant biotechnology journal
Year: 2017

Drought stress has often caused significant decreases in crop production which could be associated with global warming. Enhancing drought tolerance without a grain yield penalty has been a great challenge in crop improvement. Here, we report the Arabidopsis thaliana galactinol synthase 2 gene (AtGolS2) was able to confer drought tolerance and increase grain yield in two different rice (Oryza sativa) genotypes under dry field conditions. The developed transgenic lines expressing AtGolS2 under the control of the constitutive maize ubiquitin promoter (Ubi:AtGolS2) also had higher levels of galactinol than the non transgenic control. The increased grain yield of the transgenic rice under drought conditions was related to a higher number of panicles, grain fertility and biomass. Extensive confined field trials using Ubi:AtGolS2 transgenic lines in Curinga, tropical japonica and NERICA4, interspecific hybrid across two different seasons and environments revealed the verified lines have the proven field drought tolerance of the Ubi:AtGolS2 transgenic rice. The amended drought tolerance was associated with higher relative water content of leaves, higher photosynthesis activity, lesser reduction in plant growth and faster recovering ability. Collectively, our results provide strong evidence that AtGolS2 is a useful biotechnological tool to reduce grain yield losses in rice beyond genetic differences under field drought stress.
PORTFOLIO INVESTMENT MANAGEMENT BASED ON DOUBLE DIVERSIFICATION
Year: 2015

Creation of optimal portfolio is one of the main questions staying in front of professional inves tors. The base of diversification was provided in 1952 by Harry Markowitz in his portfolio selection theory. Theselection of the most efficient investment portfolio by providing analysis of various possible portfolios of given se curities through using correlation to choose well diversified securities, which movements are opposite each other. The pioneer of diversification stand for the point that his, model allows reducing portfolio risk. Several authors,e.g. Lintner  and Sharpe[6] developed the proposed ideas of Harry Markowitz  and provide usage of theDiagonal Model and the Capital Market Line. The global financial markets becoming more integrated. In increas ingly integrated global capital market, understanding the impact of investment constraints on the benefits andportfolio allocation of international diversification is crucial for financial investors. The over time analysis shows that diversifying portfolios internationally is still beneficial even through financial markets. This paper investigatesthe benefits and asset allocation of the optimal international and sector diversification for the investors with apply ing different contradictory theories methods applied for the portfolio management through real time portfolio man agement using Bloomberg Terminal.
Effect of ultrasound followed by high pressure processing on prebiotic cranberry juice.
Venue: Food chemistry
Year: 2017

This work evaluated the effect of high pressure processing (HPP) and ultrasound (US) on the quality of prebiotic cranberry juice fortified with fructo oligosaccharides (FOS) The juice was subjected to HPP for 5min (450MPa) and to ultrasonic treatment for 5min (600 and 1200W/L) followed by HPP for 5min (450MPa) Chemical analyses were carried out to identify and quantify the anthocyanins, and to quantify FOS, organic acids, instrumental color, soluble solids, pH and antioxidant capacity. Both non thermal treatments preserved the FOS content maintaining the prebiotic property of the juice. The retention of organic acids was high >90% and an increase in anthocyanin content (up to 24% was observed when ultrasound was followed by HPP. The changes in instrumental color, soluble solids content and pH were negligible. The use of HPP and ultrasound processing has been proven satisfactory to treat prebiotic cranberry juice.
Unsupervised Perceptual Rewards for Imitation Learning
Venue: Robotics: Science and Systems
Year: 2017

Reward function design and exploration time are arguably the biggest obstacles to the deployment of reinforcement learning (RL) agents in the real world. In many real world tasks, designing a reward function takes considerable hand engineering and often requires additional sensors to be installed just to measure whether the task has been executed successfully. Furthermore, many interesting tasks consist of multiple implicit intermediate steps that must be executed in sequence. Even when the final outcome can be measured, it does not necessarily provide feedback on these intermediate steps. To address these issues, we propose leveraging the abstraction power of intermediate visual representations learned by deep models to quickly infer perceptual reward functions from small numbers of demonstrations. We present a method that is able to identify key intermediate steps of a task from only a handful of demonstration sequences, and automatically identify the most discriminative features for identifying these steps. This method makes use of the features in a pre trained deep model, but does not require any explicit specification of sub goals. The resulting reward functions can then be used by an RL agent to learn to perform the task in real world settings. To evaluate the learned reward, we present qualitative results on two real world tasks and a quantitative evaluation against a human designed reward function. We also show that our method can be used to learn a real world door opening skill using a real robot, even when the demonstration used for reward learning is provided by a human using their own hand. To our knowledge, these are the first results showing that complex robotic manipulation skills can be learned directly and without supervised labels from a video of a human performing the task. Supplementary material and data are available at this https URL
The Argentine Experience in Enhancing Biosafety through Good Laboratory Practices
Year: 2006

Though there may be growing concern about safe laboratory practices in Argentina, there exist lacunae in the development and implementation of effective educational programmes. Efforts of the Argentinean Association of Microbiology (AAM) and the National Institutes of Health in providing training courses have contributed to a healthier work environment. Since the early 1990s, guidelines from the Ministry of Health have been implemented regarding the safe disposal of medical wastes, handling and manipulation of blood borne pathogens and transportation of biological agents. Also, with World Bank support, Class II biosafety cabinets have been distributed throughout the country to national hospitals and reference laboratories, to provide containment for infectious splashes, and laboratory facilities have been reformed. The ongoing training courses on good laboratory practices have demonstrated that it is possible to change habits, improve motivation to work and act safely. Personnel of the microbiology laboratories should be trained in the proper use of equipment and procedures, including recording accidents. It should be noted that important efforts have been made by national institutions in providing assistance and coordinating biosafety networking in almost all Argentine provinces.
The e health concept
Year: 2009

The management of a company must fulfill at least two essential conditions in order to achieve the goal of maximizing the market value of the company: efficiently using the existent resources and the opportunity of increasing or decreasing the capital stock. The second condition implies a complex decision called the investment process or the programming of the investment or the financing of the capital. Any of these terms refer to the process of the expenses programming whose effects are estimated to be obtained in a period longer that a year.
Geodynamics of the southeastern Tibetan Plateau from seismic anisotropy and geodesy
Year: 2007

Ongoing plate convergence between India and Eurasia provides a natural laboratory for studying the dynamics of continental collision, a fi rst order process in the evolution of continents, regional climate, and natural hazards. In southeastern Tibet, the fast directions of seismic anisotropy determined using shear wave splitting analysis correlate with the surfi cial geology including major sutures and shear zones and with the surface strain derived from the global positioning system velocity fi eld. These observations are consistent with a clockwise rotation of material around the eastern Himalayan syntaxis and suggest coherent distributed lithospheric deformation beneath much of southeastern Tibet. At the southeastern edge of the Tibetan Plateau we observe a sharp transition in mantle anisotropy with a change in fast directions to a consistent E W direction and a clockwise rotation of the surface velocity, surface strain fi eld, and fault network toward Burma. Around the eastern Himalayan syntaxis, the coincidence between structural crustal features, surface strain, and mantle anisotropy suggests that the deformation in the lithosphere is mechanically coupled across the crust mantle interface and that the lower crust is suffi ciently strong to transmit stress. At the southeastern margin of the plateau in Yunnan province, a change in orientation between mantle anisotropy and surface strain suggests a change in the relationship between crustal and mantle deformation. Lateral variations in boundary conditions and rheological properties of the lithosphere play an important role in the geodynamic evolution of the Himalayan orogen and Tibetan Plateau and require the development of three dimensional models that incorporate lateral heterogeneity.
Motivation and young people's career planning: A perspective from the reinforcement sensitivity theory of personality
Year: 2017

We examined the associations between personality factors of the reinforcement sensitivity theory (RST) of personality and career planning predispositions in young people (university students and recent graduates) comprising Career Adaptability, Career Optimism, and Perceived Knowledge. As predicted, all three career planning dispositions were positively correlated with Behavioural Approach System (BAS) scores, principally Reward Interest and Goal Drive Persistence; and all dispositions negatively correlated with Behavioural Inhibition System (BIS) scores these significant associations survived hierarchical multiple regression with age and gender statistically controlled. These findings indicate that motivational factors of the kind measured by RST related approach avoidance factors are associated meaningfully with career planning predispositions. Although a novel finding, further work is needed to determine whether these relationships exist when actual career related decisions and behaviours are examined.
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma.
Venue: The New England journal of medicine
Year: 2015

n engl j med 373;1 nejm.org july 2, 2015 23 The authors' full names, academic de grees, and affiliations are listed in the Ap pendix. Address reprint requests to Dr. Hodi at Dana Farber Cancer Institute, 450 Brookline Ave. Boston, MA 02215, or at stephen_hodi@ dfci harvard edu; or to Dr. Wolchok at the Department of Medi cine and Ludwig Center, Memorial Sloan Kettering Cancer Center, 1275 York Ave. Box 340, New York, NY 10065, or at wolchokj@ mskcc org.
Delineation of Groundwater Potential Zones in Parts of Vaigai River Basin Tamil Nadu, India using Remote Sensing and GIS Technique
Year: 2018

Water resource development and management necessarily depends on proper planning, implementation, operation and continuous monitoring. In India, potable water supply to all people in both rural and urban is main unsolvable problem, because of increasing population and availability of less water resources. The study was done in located area around the Theni district using remote sensing and GIS technology. Remote sensing and GIS technology has vital role in water resource studies, and it has to be effectively used to replace, complement and supplement the earth resources with time and cost effective. In this study, digital image processing based interpretation and classication of Landsat ETM FCC imagery were used to identify and extract landform features, and SOI toposheet with 1:50000 scale was used to delineated drainage patterns, aquifers, lineaments, existing water bodies, recharge beds and other water relevant features using visual and digital image interpretation, and ground truth verication, etc. All the spatial and non spatial, statistical information were inputted in to computer installed GIS software to analysis and produce modeling by the GIS functions such as Density, Overlay, and Integration analysis also. Finally to select suitable site ground water potential in the study area.
The Microsoft academic search dataset and KDD Cup 2013
Venue: KDD Cup '13
Year: 2013

KDD Cup 2013 challenged participants to tackle the problem of author name ambiguity in a digital library of scientific publications. The competition consisted of two tracks, which were based on large scale datasets from a snapshot of Microsoft Academic Search, taken in January 2013 and including 250K authors and 2.5M papers. Participants were asked to determine which papers in an author profile are truly written by a given author (track 1) as well as to identify duplicate author profiles (track 2) Track 1 and track 2 were launched respectively on April 18 and April 20, 2013, with a common final submission deadline on June 12, 2013. For track 1 a training dataset with correct labels was diclosed at the start of the competition. This track was the most popular one, attracting submissions of 561 different teams. Track 2, which was formulated as an unsupervised learning task, received submissions from 241 participants. This paper presents details about the problem definitions, the datasets, the evaluation metrics and the results.
Electoral control over policy motivated candidates and their policy biases
Year: 2009

We present an election model employing candidates with policy preferences, and show how re election pressure induces candidates to keep their campaign promises in finitely repeated competitions. The game consists of two periods, each of which comprises an election followed by the winner's policy implementation. Following the first election, the incumbent may signal his dishonesty by implementing a policy different from his campaign promise. If the citizens care about political honesty, this choice reduces the incumbent's probability of re election. An equilibrium is derived which demonstrates that even with term limits, an elected candidate's deviation from his campaign promise is controlled by the citizens' monitoring of his performance. Strong public response to the dishonesty of politicians thus serves as a commitment device.
MDT: A Multi Description Topic Based Clustering Approach for Composite Service Discovery
Venue: 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
Year: 2019

With the rapid development of Service Oriented Architecture that enables rapid composition and integration of large scale distributed systems, the number of web accessible services and their compositions is increasing rapidly, which makes it difficult to efficiently discover desired composite services from a sea of candidates. Recently, topic based clustering techniques have emerged as a promising way to improve the efficiency and accuracy of service discovery. However, it is a challenge to extract topics from short description texts of composite services, for short texts do not provide sufficient word occurrences. In view of this problem, a multi description topic based clustering approach for composite service discovery is proposed. In this approach, descriptions of the component services of each composite service are combined for topic extraction and modeling. Then, composite services are clustered based on their topic similarities. Finally, composite services are discovered from the cluster that is most topic similar to the service queries. The effectiveness of the proposed approach was verified by some experiments on the real world data at the end of this paper.
Development of Serious Game for Kids using Leap Motion based on Honey Bee Dance
Year: 2014

We developed serious game for kids using "Leap Motion" based on honey bee dance. After investigation of honey bee dance, we applied it into serious game. The dances are performed by worker bees that have returned to the honeycomb. It essentially is a language that tells the other workers where the food is. In our developed game, kids can learn these honey bee dance using their hands via Leap Motion. Leap Motion is a computer hardware sensor device that supports hand and finger motions as input, analogous to a mouse, but requiring no hand contact or touching. The movement of the hand is good for kid's brain development. It has already been proven through many materials. Kids can learn the language of bees through developed game and it is a natural form of play. Our system can propose the new development direction of serious game, also potential of Leap Motion as serious game device.
Effectiveness of Interactive Advertising As A Digital Marketing Strategy An Experimental Study
Year: 2019

Today, in addition to information and communication, marketing strategies that provide interpersonal interaction have taken an important role in technology. In this study, the effectiveness of interactive advertising as a digital marketing strategy was investigated. In this study, the effectiveness levels of interactive, pre roll and skip pre roll ads were measured and compared. For the experiment, 90 students educated at a public university and easily determined by sampling method were reached. Before the experiment, students were divided into three groups and different types of advertising were prepared for each group. 30 person experiment, Control 1 and Control 2 groups were selected. 20 selected ads were tracked for groups for 7 days and then the survey was applied again. Differences between pre test and post test results were analyzed. According to the results of the study, the type of advertising, in which the user's emotional and cognitive interest, attitude towards the brand and purchasing intentions increased the most, was found to be interactive advertisement. Based on this result, it can be said that interactive advertising as a digital marketing strategy will be more effective than other types of advertising.
Delay Range Dependent Robust Constrained Model Predictive Control for Industrial Processes with Uncertainties and Unknown Disturbances
Venue: Complex.
Year: 2019

A delay range dependent robust constrained model predictive control is proposed for discrete time system with uncertainties and unknown disturbances. The dynamic characteristic of the discrete time system is established as a new extended state space model in which state variables and output tracking error are integrated and regulated independently. It is used as the design of control law of system, which cannot only guarantee the convergence and tracking performance but also offer more degrees of freedom for designed controller. Unlike the traditional robust model predictive control (RMPC) the novel, less conservative, and more simplified delay range dependent stable conditions are derived by linear matrix inequality (LMI) theory and some relaxed technologies, which make use of the information of the upper and lower bounds of the time varying delay. Meanwhile, the performance index is introduced in the RMPC controller design, which can reject any unknown bounded disturbances. As a result, the design controller has better abilities of both tracking and disturbance rejection. The control results on the liquid level of tank system show that the proposed control method is effective and feasible.
Student perceptions of reflection and the acquisition of higher order thinking skills in a university sustainability course
Year: 2020

Sustainability challenges are complex and call for the effective development of knowledge, skills, and abilities in current and new leaders. New offerings in higher education provide sustainability training to complement studies in geography, engineering, science, and other disciplines, in many cases including innovative experiential learning components including the use of reflection. Although reflection in education is not a new concept, how to assess reflection has remained challenging. Recent research on the Reflective Learning Framework (RLF) aims to address many of the challenges associated with guiding, assessing, and evaluating student learning through reflections. The objective of this research was to investigate the perceptions of students who use the RLF about their experience using reflection in a sustainability course. Semi structured interviews with students provide a valuable perspective on the use of reflection. Particularly, findings from this research indicate that students see reflection as a tool to develop and use cognitive and metacognitive skills, and also as a tool to support knowledge retention and transfer. Accordingly, student perspectives on reflection show that this practice contributes to the acquisition of higher order thinking skills required to address the complex challenges of sustainability.
Rank Modulation Codes for DNA Storage With Shotgun Sequencing
Venue: IEEE Transactions on Information Theory
Year: 2019

Synthesis of DNA molecules offers unprecedented advances in storage technology. Yet, the microscopic world in which these molecules reside induces error patterns that are fundamentally different from their digital counterparts. Hence, to maintain reliability in reading and writing, new coding schemes must be developed. In a reading technique called shotgun sequencing, a long DNA string is read in a sliding window fashion, and a profile vector is produced. It was recently suggested by Kiah et al. that such a vector can represent the permutation which is induced by its entries, and hence a rank modulation scheme arises. Although this interpretation suggests high error tolerance, it is unclear which permutations are feasible and how to produce a DNA string whose profile vector induces a given permutation. In this paper, by observing some necessary conditions, an upper bound for the number of feasible permutations is given. Furthermore, a technique for deciding the feasibility of a permutation is devised. By using insights from this technique, an algorithm for producing a considerable number of feasible permutations is given, which applies to any alphabet size and any window length.