nils-herrmann/clean_scirepeval huggingface dataset:
Notched Ti 6Al 4V titanium bars under multiaxial fatigue: Synthesis of crack initiation life based on the averaged strain energy density
Year: 2018

The fatigue life of notched components subjected to multiaxial loading conditions may be influenced by extrinsic mechanisms operating during crack propagation phase, such as sliding contact, friction and meshing between crack surfaces. These extrinsic mechanisms may disrupt the applicability of local approaches, such as that based on the strain energy density (SED) averaged over a structural volume having size R0 and surrounding the crack initiation point. In the present contribution, the multiaxial fatigue behaviour of circumferentially notched specimens made of titanium grade 5 alloy, Ti 6Al 4V, has been analysed. Pure bending, pure torsion and in phase as well as out of phase combined bending torsion fatigue tests have been carried out on notched specimens characterized by two different root radii, namely 0.1 and 4 mm. Fatigue crack initiation and subsequent propagation have been monitored by adopting the direct current potential drop (DCPD) technique. In principle, crack initiation life has been defined when the initiated fatigue crack fractures the structural volume, which corresponds to a given potential drop increase calibrated by means of electrical finite element (FE) analyses. The structural volume size R0 has been determined by fatigue testing plain and sharp V notched specimens under pure axial or pure torsion loadings. Finally, the averaged SED approach has been adopted to correlate the experimental fatigue results expressed in terms of crack initiation life, in order to reduce the effect of extrinsic mechanisms.
Computer multitasking in the classroom reduced learning versus modern living
Venue: Interactions
Year: 2020

Computers have entered the classroom. They have largely replaced pen and paper for note taking, at least in European and North American universities. In addition, many students read course texts on their computer, rather than in hardcopy, and in class exercises rely on student access to online information or simulations. Yet, these productive uses of computers to facilitate and augment learning are not the only ways in which computers have entered the classroom. By making social media, games, email, and the like readily available they are also a source of distraction. The human computer interaction (HCI) community can help understand the various consequences of computer use in the classroom and support students and educators in coping with them.
SPEAKER EMBEDDING A NEW SCHEME OF SPEAKER MODELING APPLY ON SPEAKER DIARIZATION
Year: 2016

This paper proposes to investigate speaker embeddings, a representation extracted from hidden layers of deep neural networks trained on a speaker identification task, on cross show diarization. The new representation brings an improvement over i vectors, and we show that while shallow hidden layers give best results on the single show condition, deeper layers yield better performance on cross show diarization. This confirms that deep representations model higher level features which help generalizing to different acoustic conditions. Experiments, conducted on the French corpus of REPERE, show that the deep speaker embeddings technique decreases DER by 0.82 points.
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Year: 2017

The main purpose of the present study is to use three state of the art data mining techniques, namely, logistic model tree (LMT) random forest (RF) and classification and regression tree (CART) models, to map landslide susceptibility. Long County was selected as the study area. First, a landslide inventory map was constructed using history reports, interpretation of aerial photographs, and extensive field surveys. A total of 171 landslide locations were identified in the study area. Twelve landslide related parameters were considered for landslide susceptibility mapping, including slope angle, slope aspect, plan curvature, profile curvature, altitude, NDVI, land use, distance to faults, distance to roads, distance to rivers, lithology, and rainfall. The 171 landslides were randomly separated into two groups with a 70/30 ratio for training and validation purposes, and different ratios of non landslides to landslides grid cells were used to obtain the highest classification accuracy. The linear support vector machine algorithm (LSVM) was used to evaluate the predictive capability of the 12 landslide conditioning factors. Second, LMT, RF, and CART models were constructed using training data. Finally, the applied models were validated and compared using receiver operating characteristics (ROC) and predictive accuracy (ACC) methods. Overall, all three models exhibit reasonably good performances; the RF model exhibits the highest predictive capability compared with the LMT and CART models. The RF model, with a success rate of 0.837 and a prediction rate of 0.781, is a promising technique for landslide susceptibility mapping. Therefore, these three models are useful tools for spatial prediction of landslide susceptibility.
Impact of clinical pharmacist services delivered via telemedicine in the outpatient or ambulatory care setting: A systematic review
Venue: Research in social administrative pharmacy RSAP
Year: 2018

Utilization of telemedicine allows pharmacists to extend the reach of clinical interventions, connecting them with patients and providers, but the overall impact of these services is under studied.  Identify the impact of clinical pharmacist telemedicine interventions on clinical outcomes, subsequently defined as clinical disease management, patient self management, and adherence, in outpatient or ambulatory settings.  A literature search was conducted from database inception through May 2016 in Medline, SCOPUS, and EMBASE. Broad terms "telemedicine" "telehealth" and "telephone" were used in combination with "pharmacist" or "pharmacy" and "telepharmacy" The search and extraction process followed PRISMA guidelines. Results were screened for pharmacist interventions and reviewed to identify studies in outpatient our ambulatory settings. Studies of non clinical outcomes (i.e. dispensing or product preparation) and with no comparator were excluded. The final studies were categorized by types of outcomes reported: clinical disease management, patient self management, and adherence.  Only 34 studies measured clinical outcomes against a comparator, consistent with the research question. The majority utilized scheduled models of care (n 29) Telephone was the most common communication method (n 25) The most utilized interventions were pharmacist led telephonic clinics (n 10) Most studies focused on chronic disease management in adults including hypertension, diabetes, anticoagulation, depression, hyperlipidemia, asthma, heart failure, HIV, PTSD, CKD, stroke, COPD and smoking cessation. Twenty three studies had a positive impact with one reporting negative results. Higher positive impact rate was observed for scheduled (72.4% 21/29) and continuous (100% 2/2) models compared to responsive/reactive (25% 1/4)  Clinical pharmacy telemedicine interventions in the outpatient or ambulatory setting, primarily via phone, have an overall positive impact on outcomes related to clinical disease management, patient self management, and adherence in the management of chronic diseases. Commonalities among studies with positive impact included utilization of continuous or scheduled models via telephone, with frequent monitoring and interventions. Studies identified did not evaluate benefits of video capability over telephone or cost effectiveness, both of which are useful directions for future study.
Metric based Generative Adversarial Network
Venue: ACM Multimedia
Year: 2017

Existing methods of generative adversarial network (GAN) use different criteria to distinguish between real and fake samples, such as probability [9],energy [44] energy or other losses [30] In this paper, by employing the merits of deep metric learning, we propose a novel metric based generative adversarial network (MBGAN) which uses the distance criteria to distinguish between real and fake samples. Specifically, the discriminator of MBGAN adopts a triplet structure and learns a deep nonlinear transformation, which maps input samples into a new feature space. In the transformed space, the distance between real samples is minimized, while the distance between real sample and fake sample is maximized. Similar to the adversarial procedure of existing GANs, a generator is trained to produce synthesized examples, which are close to real examples, while a discriminator is trained to maximize the distance between real and fake samples to a large margin. Meanwhile, instead of using a fixed margin, we adopt a data dependent margin [30] so that the generator could focus on improving the synthesized samples with poor quality, instead of wasting energy on well produce samples. Our proposed method is verified on various benchmarks, such as CIFAR 10, SVHN and CelebA, and generates high quality samples.
Dispatch strategies based performance analysis of a hybrid renewable energy system for a remote rural area in India
Year: 2020

A significant Indian population lives in villages and some live in remote areas disconnected from the grid connectivity. Extension of grid connection to provide power supply to these villages is not feasible, but stand alone hybrid renewable energy system may be a feasible option. In this perspective, dispatch strategy based performance analysis has been carried out to provide power supply using the hybrid renewable energy system for a remote rural area in the state of Karnataka (India) The effect of load following, cycle charging and combined dispatch strategies on Lead Acid and Lithium Ion batteries with Photovoltaic/Hydro/Battery and Photovoltaic/Wind/Hydro/Diesel Generator/Battery configurations has been studied using Hybrid Optimization Model for Electric Renewable (HOMER Pro(r) The feasible Cost of Energy and Net Present Cost obtained for the proposed hybrid system are found in the range of 0.1 /kWh 0.162 /kWh, $4,65,790 $7,16,658 under the proposed dispatch strategies. The Cost of Energy and Net Present Cost of Lithium Ion battery based system are found to be 30% and 35% lesser than Lead Acid battery based system. Using Lithium Ion batteries, the Cost of Energy is reduced by 34% 25% and 37% under Load Following, Cycle Charging and Combined Dispatch strategies. From the results obtained, it is found that under Combined Dispatch strategy, Lithium Ion battery based hybrid renewable energy system delivers the most optimal operational costs. The study is also extended to perform sensitivity analysis on varying input parameters such as discount rate, Photovoltaic cost, battery cost, fuel cost, wind speed and design flow rate. Variation of discount rate and fuel cost affect the Cost of Energy and Net Present Cost significantly.
Electrochemical analysis of high performance protonic ceramic fuel cells based on a columnar structured thin electrolyte
Year: 2019

High performance and cost effective fabrications should be simultaneously achieved for practical applications of fuel cells. Unfortunately, protonic ceramic fuel cells, which are considered next generation solid oxide fuel cells operating at lower temperatures =600 degC) do not satisfy the requirements. While thin electrolyte and rapid reactions at electrode/electrolyte interfaces are crucial for cell performance, the thickness of the electrolyte via cost effective ceramic processes is still not satisfactory (currently capable of >10 mm) and the electrode reaction(s) are yet to be clarified. Here we demonstrate the fabrication of a columnar structured thin electrolyte ~2.5 mm) of BaCe0.55Zr0.3Y0.15O3 d, in which no perpendicular grain boundaries exist against the current direction, through a low cost screen printing method. A high open cell voltage of 1.10 V ensures that the thin electrolyte is sufficiently dense for gas tightness, thereby achieving an extraordinary maximum power density of 350 mW/cm2 at 500 degC. The electrode reactions are investigated by distribution of relaxation time method based on electrochemical impedance spectroscopy as a function of oxygen partial pressure and hydrogen partial pressure at 500 degC, suggesting that the reaction step corresponding to the surface diffusion of an adsorbed oxygen to the triple phase boundaries at the cathode is most probably the main contributor to the overall polarization resistances.
Determination of Phenolic Acids by a Modified HPLC: Its Application to Various Plant Materials
Year: 2007

The determination of certain phenolic acids employing a gradient HPLC method is described, in this study. The analysis was performed by using a gradient program with the two solvents system (A: methanol:water:formic acid (10:88:2 v/v) B: methanol:water:formic acid (90:8:2 v/v) The flow rate of 1 mL min 1, injection volume of 10 uL was used and signals were detected at 280 nm. Propylparaben was a suitable compound as an internal standard for this system. The method was validated and highly repeatable (between RSD values of 0.35 1.65) and linear results were obtained. The LOD and LOQ values of the phenolic acids are in the range of (2.58x10 6 9.69x10 6 M) and (7.83x10 6 2.93x10 5 M) respectively. The applicability of the method was tested by using some plant source materials, and the phenolic acid contents were successfully determined via well defined peaks. Therefore, the progressed method is suggested for the quantification of phenolic acids in food industry and laboratories.
Analysis of Educational Tourism Management at Smart Park, Yogyakarta, Indonesia
Year: 2018

The concept of educational tourism developed as a consequence of the saturation of applying learning methods in a rigid and formal room. Yogyakarta as a student and cultural city has several educational tourism objects, one of which is the Smart Park. Smart Park Yogyakarta as the most comprehensive science center in Southeast Asia offers various educational tourism program packages. The objective of this study is to analyze the Smart Park management model by conducting a survey to 200 visitors with data analyzed by SEM PLS method. Data analysis is done in two ways, namely model feasibility test and significance test through bootstrapping process. Based on the data result analysis, the most dominant influence is management performance to the variation of tourism activities with path analysis of 0,653. The indicator with the largest contribution is learning new technology by loading factor value of 0.872. In terms of product availability, almost all educational tourism activities are available, unless for the tourist attractions related to learning a new language.
Processing and Properties of Camel Milk Ice Cream Using Vanilla, Baobab (Adanosonia digitata) and Papaya (Carica Papaya) Fruits
Year: 2018

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Responses of Korean Pine to Proactive Managements under Climate Change
Year: 2020

Proactive managements, such as the resistant and the adaptive treatments, have been proposed to cope with the uncertainties of future climates. However, quantifying the uncertainties of forest response to proactive managements is challenging. Korean pine is an ecologically and economically important tree species in the temperate forests of Northeast China. Its dominance has evidently decreased due to excessive harvesting in the past decades. Understanding the responses of Korean pine to proactive managements under the future climates is important. In this study, we evaluated the range of responses of Korean pine to proactive managements under Representative Concentration Pathway (RCP) 8.5 scenarios from four General Circulation Models (GCMs) We coupled an ecosystem process based model, LINKAGES, and a forest landscape model, LANDIS PRO, to simulate scenarios of management and climate change combinations. Our results showed that the resistant and the adaptive treatment scenarios increased Korean pine importance (by 14.2% and 42.9% in importance value) dominance (biomass increased by 9.2% and 25.5% and regeneration (abundance <10 years old increased by 286.6% and 841.2% throughout the simulation. Results indicated that proactive managements promoted the adaptability of Korean pine to climate change. Our results showed that the variations of Korean pine response to climate change increased (ranging from 0% to 5.8% for importance value, 0% to 4.3% for biomass, and 0% to 85.4% for abundance) throughout the simulation across management scenarios. Our result showed that regeneration dictated the uncertainties of Korean pine response to climate change with a lag effect. We found that the effects of proactive managements were site specific, which was probably influenced by the competition between Korean pine and the rare and protected broadleaf tree species. We also found that the adaptive treatment was more likely to prompt Korean pine to migrate into its suitable habitats and promoted it to better cope with climate change. Thus, the adaptive treatment is proposed for Korean pine restoration under future climates.
Continuous and pulsed selective laser melting of Ti6Al4V lattice structures: Effect of post processing on microstructural anisotropy and fatigue behaviour
Year: 2020

Additive manufacturing technologies in general and laser powder bed fusion (L PBF) in particular have been on the rise in different applications, including biomedical implants. The effects of the various l PBF process parameters on the microstructure and properties of Ti6Al4V lattice structures have been studied before. However, the relationship between the different modes of laser scanning and the resulting microstructure, internal imperfections, and surface morphology is still underexplored. In this study, the aforementioned parameters and their effect on the compressive mechanical properties and fatigue behaviour of lattice titanium have been studied for both continuous and pulsed laser scanning modes. Moreover, the influence of various combinations of post processing treatments, such as hot isostatic pressing (HIP) sandblasting, and chemical etching, on the quasi static mechanical properties and fatigue endurance of the resulting materials were investigated. It was found that continuous laser strategy results in fewer imperfections and higher fatigue resistance, while pulsed laser showed a more homogenous microstructure; likely leading to a more isotropic behaviour. Furthermore, the continuous mode showed larger prior b grains preferentially oriented in the building direction, while pulsed specimens exhibited finer equiaxed grains with no preferred orientations. The highest level of fatigue life was obtained by using an optimized combination of HIP, sandblasting, and chemical etching.
2D van der Waals Nanoplatelets with Robust Ferromagnetism.
Venue: Nano letters
Year: 2020

We have synthesized unique colloidal nanoplatelets of the two dimensional (2D) van der Waals ferromagnet CrI3 and have characterized these nanoplatelets structurally, magnetically, and by magnetic circular dichroism spectroscopy. The CrI3 nanoplatelets have lateral dimensions of ~25 nm and thicknesses of only ~4 nm, corresponding to just a few CrI3 monolayers. Magnetic and magneto optical measurements demonstrate robust 2D ferromagnetic ordering with Curie temperatures similar to bulk CrI3, despite their small size. These data also show magnetization steps akin to those observed in micron sized few layer 2D sheets associated with concerted spin reversal of individual CrI!3 layers within few layer van der Waals stacks. Similar data have also been obtained for CrBr3 and anion alloyed Cr(I1 xBrx)3 nanoplatelets. These results represent the first example of lateral nanostructures of 2D van der Waals ferromagnets of any composition. The demonstration of robust ferromagnetism at nanometer lateral dimensions opens new doors for miniaturization in spintronics devices based on van der Waals ferromagnets.
Articles From B2C to B2B: Selling Korean Pop Music in the Age of New Social Media
Year: 2012

The once prevailing myth held among scholars of East Asian Studies that Hallyu, or the Korean Wave, was over has now lost much of its credibility, as Korean TV dramas continue to attract and maintain an impressive audience base in Japan, China, Taiwan, South East Asia, and the Middle East. Particularly interesting is the resurgence of the popularity of Korean pop music not only in Asia but also in Europe and North America as well. This paper discusses the impact of new social media on the sudden explosion of K pop popularity. We argue that the Korean entertainment industry is now rapidly changing its conventional business model from the audience based B2C strategy to a new social media dependent B2B model. In this new model Google through its subsidiary company You Tube acts as a key provider of the new social media market to the K pop music industry that is now targeting royalty income as its main source of revenue. We use both archival and in depth interview data to arrive at our conclusion that major Korean K pop talent agencies, including SM, JYP, and YG, are exploiting a large profit potential through new social media and the B2B model.