nils-herrmann/clean_scirepeval huggingface dataset:
A study on Solar PV and Wind energy diffusion in India and China: Barrier analysis using Interpretive Structural Modelling (ISM) method
Year: 2019

During the Paris Agreement of 2015, 195 UNFCCC members pledged to improve the global response to climate change by reducing the carbon emissions and contributing to keeping the average global temperature increase well below 2deg above the pre industrial levels. The whole world is gradually shifting towards renewable resources but this transition to non conventional energy sources looks very slow compared to what is required to prevent the extreme effects of global warming. Countries that have shown tremendous promise, out of some of the largest solar and wind energy producers, are India and China. Both these countries have shown astonishing growth rates and boast of huge world shares in 2017 for the cumulative installed Solar PV. The total installed wind energy capacities for India and China till 2017 are also very large. Even though these growth rates look very large and are a promising start towards the complete shift to renewable energy, they are still not adequate to reduce the global carbon emissions levels fast enough to keep the average temperature change to 1.5degC. Thus, in this thesis, we aim to identify and analyze the barriers to diffusion of Solar PV and Wind energy in India and China, using interpretive structural analysis (ISM) method, so that we can propose solutions and policy recommendations to further accelerate the diffusion of these technologies. We plan to use the Interpretive Structural Modeling (ISM) method to study the inter relations between barriers and finally present a hierarchy among them, so that the most important ones can be solved first.
Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method
Venue: WSOM
Year: 2014

Time dependent natural phenomena and artificial processes can often be quantitatively expressed as multivariate time series (MTS) As in any other process of knowledge extraction from data, the analyst can benefit from the exploration of the characteristics of MTS through data visualization. This visualization often becomes difficult to interpret when MTS are modelled using nonlinear techniques. Despite their flexibility, nonlinear models can be rendered useless if such interpretability is lacking. In this brief paper, we model MTS using Variational Bayesian Generative Topographic Mapping Through Time (VB GTM TT) a variational Bayesian variant of a constrained hidden Markov model of the manifold learning family defined for MTS visualization. We aim to increase its interpretability by taking advantage of two results of the probabilistic definition of the model: the explicit estimation of probabilities of transition between states described in the visualization space and the quantification of the nonlinear mapping distortion.
A predictive 0 D HCCI combustion model for ethanol, natural gas, gasoline, and primary reference fuel blends
Venue: Fuel
Year: 2019

Homogeneous Charge Compression Ignition (HCCI) is a promising advanced combustion concept with high thermal efficiency and low exhaust emissions. This work purposes a computationally efficient, zero dimensional (0 D) HCCI combustion model that does not need to solve any differential equations. To develop the burn rate correlations, experimental HCCI data of ethanol, natural gas, E10 gasoline, and Primary Reference Fuel (PRF) blends was collected on a CFR engine. The burn rate model is built based on the individual cycle mass fraction burned (MFB) curves calculated from the experimental data. CA0 can be predicted from an ignition delay correlation. Once CA0 is known, CA50 and CA90 can be predicted based on CA0 and the charge mass equivalence ratio ph Then, with CA0, 50 and 90 known, a Wiebe function can be constructed to represent the MFB curve and burn rate. For PRF blends, low temperature and high temperature heat releases (LTHR and HTHR) are modeled by two Wiebe functions with ph and PRF number dependence. The fitted model has high accuracy compared to the experimental data with R2 values generally greater than 0.97. Finally, various ignition delay correlations from the literature are also tested against the experimentally collected data and some modifications to the correlations are suggested.
When Mathematics Meets Real Objects: How Does Creativity Interact with Expertise in Problem Solving and Posing?
Year: 2017

The paper analyzes the results of activities undertaken by Mathematics students enrolled in a pre service teacher training program. Students were given the task to describe the way of building a figure from which one could get a box, to identify the geometric properties that allow producing the box, and to propose new models from which new boxes can be obtained. For creativity analysis, a cognitive flexibility framework has been used, within which students' cognitive variety, cognitive novelty, and their capacity to make changes in cognitive framing are analyzed. The analysis of some specific cases led to the conclusion that creativity manifestation is conditioned by a certain level of expertise. In the process of building a solution for a nonstandard problem, expertise and creativity support and mutually develop each other, enabling bridges to the unknown. This interaction leads also to an increase in expertise. Moreover, in order to get individual relevant data, the identification of creativity should take place based on tasks situated in the proximal range of the person's expertise but exceeding his/her actual level of expertise at a time.
Wave propagation in ring shaped electro magneto elastic plate of polygonal cross sections
Year: 2012

The wave propagation in magneto electro elastic materials has gained considerable importance since last decade. The electro magneto elastic materials exhibit a desirable coupling effect between electric and magnetic fields, which are useful in smart structure applications. These materials have the capacity to convert one form of energy namely, magnetic, electric and mechanical energy to another form of energy. The composite consisting of piezoelectric and piezomagnetic components have found increasing application in engineering structures, particularly in smart/intelligent structure system. The magnetoelectro elastic materials are used as magnetic field probes, electric packing, acoustic, hydrophones, medical, ultrasonic image processing, sensors and actuators with the responsibility of magnetic electro mechanical energy conversion. A method, for solving wave propagation in arbitrary and polygonal cross sectional plates and to find out the phase velocities in different modes of vibrations namely longitudinal, torsional and flexural, by constructing frequency equations was devised by (Nagaya, 1981a, 1981b, 1981c, 1983a, 1983b) He formulated the Fourier expansion collocation method for this purpose and the same method is used in this problem.The threedimensional behavior of magnetoelectroelastic laminates under simple support has been studied by (Pan, 2001) and (Pan and Heyliger, 2002) An exact solution for magnetoelectroelastic laminates in cylindrical bending has also been obtained by (Pan and Heyliger, 2003) (Pan and Han, 2005) studied the exact solution for functionally graded and layered magneto electroelastic plates.  2006) have studied thermo electro elastic transient responses in piezoelectric hollow structures and hollow cylinder subjected to complex loadings. Later (Kong et al, 2009) presented the thermo magneto dynamic stresses and perturbation of magnetic field vector in a nonhomogeneous hollow cylinder. (Annigeri et al, 2006, 2007, 2006) studied respectively, the free vibration of clampedclamped magneto electro elastic cylindrical shells, free vibration behavior of multiphase and layered magneto electro elastic beam, free vibrations of simply supported layered and multiphase magneto electro elastic cylindrical shells.
2355 PUB: Discontinuation of Dapagliflozin in DEPICT 1 and DEPICT 2 Led to Clinically Meaningful Increases in HbA1c and Body Weight
Venue: Diabetes
Year: 2019

Concerns about hypoglycaemia and weight gain are barriers to treatment adherence, and consequently glucose control, in type 1 diabetes (T1D) In adults inadequately controlled by insulin alone, DEPICT 1 and DEPICT 2 phase 3 trials showed statistically significant decreases in HbA1c, glycaemic variability and body weight for adjunct dapagliflozin (DAPA) along with moderate reduction in insulin requirements. As adherence to T1D treatment can be a daily challenge, understanding the implications of discontinuation is important. This study evaluated changes in HbA1c, weight and insulin dose following discontinuation of DAPA in the DEPICT trials. Data were analyzed from patients discontinuing DAPA (5 mg or 10 mg, added to insulin) at any point in DEPICT 1 or DEPICT 2 (unplanned or end of study) Annualized rates of change in HbA1c and weight (kg) following discontinuation of DAPA were estimated via linear regression and trajectories derived from mean rates of change. Insulin doses were summarized before and after discontinuation and correlated to analyzes of weight and HbA1c. The main reasons for unplanned discontinuation of DAPA were adverse events and patient withdrawal of consent. Following DAPA discontinuation, annualized changes in HbA1c and weight were +0.99% (95% CI: 0.39, 1.59) and +3.75Kg (1.65, 5.86) respectively (N=91) Mean insulin dose two weeks post discontinuation was higher than two weeks prior to discontinuation (5mg: +4.0 IU, 10mg: +4.4 IU) These estimates directly contrast to observed reductions in HbA1c, weight and insulin dose associated with DAPA treatment. Discontinuation of DAPA led to significant increases in HbA1c and weight, in addition to higher insulin doses soon after discontinuation. Enabling ongoing DAPA treatment may benefit patients due to the detrimental impact of poor glycaemic control and weight gain on retinopathy, nephropathy and cardiovascular disease shown in long term T1D studies, such as DCCT and EDIC.  Advisory Panel; Self; Abbott, AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc. Lilly Diabetes, Medtronic, Novo Nordisk A/S, Roche Diabetes Care, Sanofi Aventis. Speaker9s Bureau; Self; Dexcom, Inc. L.M. Beresford Hulme:  Consultant; Self; AstraZeneca. Employee; Self; Health Economics and Outcomes Research Ltd. A. Tank: Employee; Self; AstraZeneca.  Self; Health Economics and Outcomes Research Ltd.
Choosing Wisely for Cancer Care in India
Venue: Indian Journal of Surgery
Year: 2020

Choosing Wisely India (CWI) is an initiative to identify lowvalue and/or potentially harmful practices in cancer care in India. Modelled after Choosing Wisely in the USA and Canada  the CWI project was intended to facilitate a conversation between patients, clinicians, hospitals and policy makers on delivering high quality, affordable cancer care. By identifying common low value and/or harmful practices, this process aims to reduce unnecessary interventions to improve overall quality of care, reduce patient toxicity and reduce the financial burden on both the patient and system. The formal CWI report has been recently published in Lancet Oncology [4] in this commentary, we provide a summary of the process, describe the Top 10 CWI list and offer suggestions for future actions to improve the delivery of high quality cancer in India's cancer system. The National Cancer Grid (NCG) was established in 2012 and now includes 171 cancer centres, research institutes, patient advocacy groups, charitable organizations and professional societies. The NCG coordinates national efforts related to cancer control, research and education. A key initiative of the NCG has been the creation of context specific clinical practice guidelines for common cancers, the goal of which is to standardize and improve the quality of care delivered  In a parallel project, the NCG undertook Choosing Wisely India to identify and eventually reduce utilization of interventions which do not offer meaningful benefit to patients. The high proportion of out of pocket spending among Indian cancer patients makes this highly relevant in a system where a substantial proportion of patients incur catastrophic health expenditures [6] The Choosing Wisely initiative has been adopted globally by more than 20 countries as a disease specific process to identify unnecessary (often expensive) interventions that should be avoided [7] Within the USA and Canada, there are now over 800 Choosing Wisely recommendations from more than 120 national societies covering a range of diseases [8, 9] Choosing Wisely initiatives focused on cancer have been published in the USA and Canada  Choosing Wisely India represents the first Choosing Wisely initiative within any disease area from a low middle income country and represents an important step on the path to Universal Health Coverage and the achievement of health Sustainable Development Goals. In 2017, the NCG convened a nine member Choosing Wisely India Task Force including two members from
M&A in the FinTech sector: alternative valuation methodologies and the case of iZettle acquisition
Year: 2019

FinTech and main application fields role of PSP. FinTech in Italy, USA and emerging markets. Mergers acquisitions and valuation methodologies. M&A outlook and valuation levels within different sectors. Alternative valuation methodologies and iZettle acquisition. FinTech alternative valuation methodologies.
The use of internal audit by Australian companies
Year: 2006

The purpose of this study is to explore the voluntary use of internal audit by Australian publicly listed companies and to identify factors that lead listed companies to have an internal audit function. Drawing on the Institute of Internal Auditors' definition of internal auditing, the paper predicts that internal audit use is associated with factors related to risk management, strong internal controls and strong corporate governance. To test the predictions, the study combines data from a survey of listed companies with information from corporate annual reports. The paper also provides descriptive information on the use of internal audit. The results indicate that only one third of the sample companies use internal audit. While size appears to be the dominant driver, there is also a strong association between internal audit and the level of commitment to risk management. However, the study finds only weak support for an association between the use of inter.
POTATO MINI TUBER PRODUCTION THROUGH DIRECT TRANSPLANTING OF IN VITRO PLANTLETS IN GREEN OR SCREEN HOUSES A REVIEW
Year: 2013

The mini tuber production technology involving direct transplanting of in vitro plantlets in green or screen houses is though commonly followed but still requires more research on the production and pre treatment of the in vitro plantlets before planting as well as on subsequent management of the crop afterwards. Majority of the physiological and agronomical aspects like age of plantlets at planting, method and duration of hardening, growing media in green or screen houses, season, method of planting, plantlet density, use of plantlet (full or part) fertilizer doses, irrigation, inter culture, crop duration as well as development of some special cultivation techniques like hilling etc. need to be investigated further for maximizing the number of mini tubers per in vitro plantlet as well as for improving the size of mini tubers while reducing the proportion of extremely small sized mini tubers for successful multiplication in open fields.
El impacto de las clases de ajedrez sobre el rendimiento en las pruebas saber 3, 5 y 9 en Bogota
Year: 2019

El desarrollo de habilidades blandas y cognitivas es clave para el aprovechamiento de la economia del conocimiento. Ciertas hipotesis sugieren que jugar ajedrez mejora estas habilidades y se ha probado en algunos contextos con exito. Este trabajo hace un aporte al examinar esas ideas para el caso de los colegios de Bogota D.C. Utilizando una metodologia de diferencias en diferencias se encuentran efectos positivos y significativos de las clases de ajedrez sobre el desempeno de los jovenes en las pruebas Saber 5 y 3 en el area de matematicas y en la Saber 3 en lenguaje. Los efectos sobre Saber matematicas 3 y lenguaje 3 se dan a partir del 2016. Una hipotesis es que el programa tarda al menos dos anos en hacer efecto. Con estos resultados se recomienda ampliar los experimentos para mejorar la evidencia e implementar politicas distritales de ampliacion de la ensenanza del ajedrez.
Circuit Complexity for Fermionic Thermofield Double states
Year: 2019

Motivated by the holographic complexity proposals, in this paper, we investigate the time dependence of the complexity for the Fermionic thermofield double state (TFD) using the Nielsen approach and Fubini Study (FS) approach separately. In both two approaches, we discuss the results for different reference states: the Dirac vacuum state and the Gaussian state which has no spatial entanglement (NSE) For Dirac vacuum reference state, we find that the complexity by both two approaches is time independent and the circuit complexity shares the same expression for both methods with the $L^2$ norm. For the NSE reference state, the complexity by the Nielsen approach is time dependent while it by the FS approach is time independent. Further, we find our dynamical results are in good agreement with the bosonic case, where the complexity evolves in time and saturates after a time at the order of the inverse temperature. And we show that the complexity of formation is also shared same similar behaviors with the holographic complexity.
Effects of Empathy and Attitude in Caring for Elders by Nurses in Geriatric Nursing Practice in Long term Care Hospitals
Year: 2017

The purpose of this study was to identify factors influencing geriatric nursing practice in nurses working in long term care hospitals.  The participants were 194 nurses working at 12 long term care hospitals in B and G city. Data were collected from July 6 to August 8, 2016. SPSS/WIN 18.0 was used for analysis with t test, ANOVA, Scheffe test, Pearson correlation coefficients, and stepwise multiple regression.  There was a significant correlation between geriatric nursing practice and empathy for the elders (r=.52, p<.001) and attitude toward caring for the elders (r=.33, p<.001) The factors influencing geriatric nursing practice in participants were empathy for the elders (b=.48, p<.001) and marital status (b=.19, p=.003) These factors contributed 29.1% of the total variance in geriatric nursing practice.  Based on the results, educational programs to improve empathic ability for elders by nurses should be developed and implemented to improve geriatric nursing practice of nurses in long term care hospitals. Also it is necessary to systematically support married nurses with empathy for the elders in long term care, so that their careers are not cut off and they can continue to practice geriatric nursing successfully.
A peak strength strain energy storage index for rock burst proneness of rock materials
Venue: International Journal of Rock Mechanics and Mining Sciences
Year: 2019

Judgement of rock burst proneness of rock materials is one of the basic problems in the field of rock burst research. In this study, a peak strength strain energy storage index is proposed for estimating and classifying the rock burst proneness of rock materials. The method for determining this index is also introduced in this paper. The peak strength strain energy storage index is defined as the ratio of the elastic strain energy density to the dissipated strain energy density corresponding to the peak compressive strength of rock specimen. In order to obtain the elastic strain energy density and the dissipated strain energy density at the peak strength, a series of single cyclic loading unloading uniaxial compression tests on nine rock materials were conducted. The relationships between the total input energy density and the elastic strain energy density at different unloading stress levels were investigated. The results show that, for every rock material, the elastic strain energy density increases linearly with the increase of the total input energy density. Based on this linear storage energy law, the elastic dissipated strain energy density at the peak strength can be calculated for each specimen, and the peak strength strain energy storage index can be obtained accordingly. A new criterion for rock burst proneness of rock materials is proposed. The rock burst proneness of nine rock materials estimated with the proposed criterion agreed well with the laboratory test results.
Capacity of MIMO free space optical communications using multiple partially coherent beams propagation through non Kolmogorov strong turbulence.
Venue: Optics express
Year: 2013

We study the average capacity performance for multiple input multiple output (MIMO) free space optical (FSO) communication systems using multiple partially coherent beams propagating through non Kolmogorov strong turbulence, assuming equal gain combining diversity configuration and the sum of multiple gamma gamma random variables for multiple independent partially coherent beams. The closed form expressions of scintillation and average capacity are derived and then used to analyze the dependence on the number of independent diversity branches, power law a, refractive index structure parameter, propagation distance and spatial coherence length of source beams. Obtained results show that, the average capacity increases more significantly with the increase in the rank of MIMO channel matrix compared with the diversity order. The effect of the diversity order on the average capacity is independent of the power law, turbulence strength parameter and spatial coherence length, whereas these effects on average capacity are gradually mitigated as the diversity order increases. The average capacity increases and saturates with the decreasing spatial coherence length, at rates depending on the diversity order, power law and turbulence strength. There exist optimal values of the spatial coherence length and diversity configuration for maximizing the average capacity of MIMO FSO links over a variety of atmospheric turbulence conditions.
Association Analysis of University Course Information Based on Knowledge Map
Venue: 2018 9th International Conference on Information Technology in Medicine and Education (ITME)
Year: 2018

In order to optimize educational decision making and curriculum reform, trace the undergraduates' current development situation and forecast the follow up study status, this paper adopts association rule algorithms to analyse the educational variables such as students' grades and curriculum selections information. The dataset referred in this paper is bigger, fresher, and more compound compared with the previous version. Based on those undergraduates' pre existing data, pruning strategy is used to divide and process the dataset mathematically. By implementing modified Apriori algorithm, several significant association rules are dug out. In association rule mining, the Booleanized transaction data, optimized connection and pruning processing help us to find frequent item sets fleetly. Not only the dimension of the project set increases but also the efficiency of the modified algorithm are greatly improved. Through a rigorous survey of the experimental results, we carried out extensive analyses based on the heuristic knowledge of curriculum map. There is a certain degree of correlation hidden in the students' compulsory course scores. In the choice of public elective courses, some association rules related to the innate character of public elective courses are obtained. The analysis results provide fundamental basis for the construction of school public course map and the innovation of teaching method.