nils-herrmann/clean_scirepeval huggingface dataset:
Multimodality fusion imaging using delayed enhanced cardiac magnetic resonance imaging, computed tomography, positron emission tomography, and real time intracardiac echocardiography to guide ventricular tachycardia ablation in implantable cardioverter defibrillator patients.
Venue: Heart rhythm
Year: 2009

3 l w L t v z m m a d w D d l t ntroduction ntegration of preprocedural 3 dimensional (3D) positron mission tomography (PET)/computed tomography (CT) nd magnetic resonance (MR) images with electroanatomic apping systems could offer significant advantages for venricular tachycardia (VT) ablations over endocardial maping alone. By providing more accurate anatomic and metbolic details for both left ventricular (LV) and myocardial car, it may facilitate anatomically based substrate guided T ablations. Contrast enhanced (CE) CT is able to proide anatomic information of the LV with submillimeter esolution. Fluorodeoxyglucose (FDG) PET can provide etabolic evaluation of the myocardial scar, its border zone, nd hibernating areas. Delayed enhanced cardiac magnetic esonance imaging (DE MRI) enables characterization of he transmural extent and 3D morphology of the anatomic car. Real time intracardiac echocardiography (ICE) can erve as intraprocedural substrate confirmation and catheter ip/myocardium contact assessment strategy.
Using Event Data Recorder to Detect Road Infrastructure Failures from a Safety Point of View
Year: 2014

Event Data Recorder (EDR) are usually used to collect safety relevant events related to driver's behaviour and to provide feedback in order to positively impact their behaviour. EDR's potentialities allow a much wider field of finalities. This paper aims at contributing to EDR's efficiency evaluation regarding to road safety. Results obtained through a French research project will be presented to assess how EDR can help local authorities to detect road infrastructures defects related to safety issues.
DIUM An Incremental Dialogue Manager That Can Produce Self Corrections
Year: 2011

Incremental processing offers the potential for dialogue systems to produce more natural, spontaneous conversational behaviour. This processing strategy comes at a price, though, which is that processing results may have to be revised when more input becomes available. We distinguish between two possible consequences of such revisions: a) If no observable system reaction has been produced yet, revision is just a matter of properly keeping internal state, and can be handled along the lines of the IU model of (Schlangen and Skantze, 2009) b) If however an observable reaction has been produced, revocation itself becomes a dialogue move, and as such must be handled by the dialogue manager. In this paper, we describe a dialogue manager that is capable of doing so, and provide a first discussion of how to handle such self corrections when producing output. This dialogue manager makes a connection between utterance level incrementality and dialogue level incrementality by using concepts from the IU model also internally; we discuss some of the implications of this approach.
ACERCA DEL DENOMINADO "CRIMINAL COMPLIANCE"
Year: 2017

In this essay, the author analyses meticulously the so called " criminal compliance " With this purpose in mind, the jurist tries to approach to the essential characteristics of the institution and to determine his relevancy in the area of criminal law. After that, he studies punctual aspects of the topic, such as his object, the program that institutes the compliance and the criminal compliance officer. The writer does not stop doing any references on the problem of criminal responsibility of the legal persons. To finish, he proposes a few concluding remarks.
Apollo 11 mission report
Year: 2013

A detailed discussion is presented of the Apollo 15 mission, which conducted exploration of the moon over longer periods, greater ranges, and with more instruments of scientific data acquisition than previous missions. The topics include trajectory, lunar surface science, inflight science and photography, command and service module performance, lunar module performance, lunar surface operational equipment, pilot's report, biomedical evaluation, mission support performance, assessment of mission objectives, launch phase summary, anomaly summary, and vehicle and equipment descriptions. The capability of transporting larger payloads and extending time on the moon were demonstrated. The ground controlled TV camera allowed greater real time participation by earth bound personnel. The crew operated more as scientists and relied more on ground support team for systems monitoring. The modified pressure garment and portable life support system provided better mobility and extended EVA time. The lunar roving vehicle and the lunar communications relay unit were also demonstrated.
Metabolic partitioning across individuals in ecological communities
Year: 2017

The mechanistic origin and shape of body size distributions within communities are of considerable interest in ecology. A recently proposed light limitation model provides a good fit to the distribution of tree sizes in a tropical forest plot. The maximum entropy theory of ecology (METE) also predicts size distributions, but without explicit mechanistic assumptions, and thus its predictions should hold in ecosystems generally, regardless of whether they are light limited. A comparison of the form and success of the predictions of the model and the theory can provide insight into the role that mechanisms play in shaping patterns in macroecology. The prediction by the METE of the size distribution of organisms is remarkably similar in form to that of the model: power law behaviour in the size range where the light limitation model predicts a power law, and exponential behaviour in the size range where the model predicts an exponential tail. The METE prediction matches data widely, including data in ecosystems where light is not limiting. We show examples for three disparate communities: trees in a tropical forest plot; herbaceous plants in a treeless subalpine meadow; and island arthropods. We conclude that the success of METE's predicted form across systems, including those that are clearly not light limited, enriches our capacity to predict patterns in macroecology without making explicit mechanistic assumptions and provides a unified framework that can capture ubiquitous features of those patterns across diverse ecosystems governed by a variety of mechanisms.
Development of Soft Hardware Platform for Training System Design of Electrotechnical Complexes and Electric Drives
Year: 2017

The article presents the results of the development of software and hardware platform as the equipment for the training of children and youth work skills with robotics, allowing in the future to apply this knowledge in practice, implementing automation system for home use. We consider the problems of existing solutions. The main difference is the integration of the proposed fees and extensions into a single set by connecting the connectors and the ability to connect third party components from different manufacturers, without limiting users. As well as a simplified method using a visual object oriented programming allows you to immediately engage in the work. Prepared lessons and tasks in the game style simplifies the information and allows you to understand how you can apply one or another technical solution.
Current safety preferences for intravitreal injection during COVID 19 pandemic
Venue: Eye
Year: 2020

The new Corona virus disease (COVID 19) pandemic is caused by SARS CoV 2, a single stranded RNA virus. Human to human transmission occurs mainly by air droplets up to 1 m distance and contact with contaminated surfaces or hands [1, 2] The virus is effectively inactivated by ethanol and chlorine containing disinfectants  Intravitreal injections (IVI) have become the most commonly performed ophthalmic procedure. Patients requiring IVI therapy are often at increased risk for complications associated with COVID 19 given their age and comorbidities. These patients can pass through multiple stations in clinics, including the reception, waiting halls, visual acuity testing room, imaging suite, physician, and injection rooms. In addition, slit lamp examination and the injection procedure itself expose both patient and treating physician as they create a close face to face contact between them. All the above, combined with the current high volume of IVI, poses a significant public health risk for COVID 19 transmission. Conversely, withholding IVI can cause irreversible vision loss in some patients.
The Material World of the Revolutionary War Soldier at Valley Forge Revisited
Venue: Historical Archaeology of the Revolutionary War Encampments of Washington's Army
Year: 2019

This chapter by Jesse West Rosenthal examines the Revolutionary War soldiers' material culture at Valley Forge. Much has been written of the suffering that these soldiers endured during that harsh winter, but this chapter provides insight into routines that both kept soldiers busy and helped them perform important and necessary tasks for the military effort. Archaeological explorations at the Washington Memorial Chapel, including a camp kitchen, provided evidence that soldiers kept busy by casting musket balls, by maintaining weaponry and clothing, and, interestingly, by re purposing musket balls into gaming pieces.
Konversi Limbah Penyulingan Daun Cengkeh dan Daun Sereh menjadi Kompos
Year: 2019

Dalam proses produksi (penyulingan) minyak daun cengkeh dan minyak sereh, menghasilkan limbah padat yang sangat berlimpah. Limbah padat yang menumpuk ini apabila tidak diolah lebih lanjut akan mengganggu pemandangan, menghabiskan space lokasi penyulingan bahkan menimbulkan pencemaran lingkungan. Salah satu usaha yang telah dilakukan untuk mengurangi penumpukan limbah padat tersebut adalah dengan memanfaatkannya sebagai bahan bakar. Alternatif lain yang dapat dilakukan untuk mengatasi permasalahan di atas adalah melakukan konversi limbah padat sisa penyulingan minyak atsiri menjadi produk pupuk kompos organik. Kompos adalah hasil penguraian parsial/tidak lengkap dari campuran bahan bahan organik yang dapat dipercepat secara artifisial oleh populasi berbagai macam mikroba dalam kondisi lingkungan yang hangat, lembab, dan aerobik atau anaerobik. Kompos dibuat dengan mengatur dan mengontrol proses alami tersebut agar kompos dapat terbentuk lebih cepat. Proses pembuatan kompos ini meliputi pembuatan campuran bahan yang seimbang, pemberian air yang cukup, pengaturan aerasi, dan penambahan aktivator pengomposan. Kegiatan pengabdian masyarakat penerapan Ipteks dilakukan pada masyarakat Desa Sokawera, Kecamatan Cilongok Kabupaten Banyumas. Mitra yang akan bekerjasama adalah industri penyulingan minyak (daun dan abu) cengkeh dan minyak sereh (UD SukaWangi, yang bertempat di dusun Semingkir RT 8 RW 9 Desa Sokawera kecamatana Cilongok kabupaten Banyumas. Pupuk kompos hasil konversi limbah padat minyak daun cengkeh atau minyak sereh, sebenarnya juga sangat dibutuhkan masyarakat sekitar wilayah Desa Sokawera yang mayoritas penduduknya merupakan petani 34,5% Kegiatan ini diharapkan menambah pemahaman dan kesadaran pelaku industri minyak atsiri dalam menangani limbah padat sisa penyulingan. Selain itu masyarakat sekitar juga diharapkan mampu secara mandiri dan mempunyai ketrampilan dalam memproduksi kompos organik yang berkualitas sehingga dapat membantu perekonomian dalam pengurangan anggaran untuk pembelian pupuk. Kata kunci: kompos, limbah, minyak atsiri, daun cengkeh, sereh wangi
Estimating commuter rail demand to Kendall Square along the Grand Junction Corridor
Year: 2012

Since acquiring the Grand Junction Railroad in June 2010 from CSX, the Massachusetts Bay Transit Authority (MBTA) has explored the possibility of using the line for commuter rail service. In addition the Grand Junction right of way has been the subject of other proposals, including a multi use path by the City of Cambridge and a Bus Rapid Transit (BRT) line as part of the MBTA's Urban Ring study. In September of 2010, our team was asked to examine the possibility of adding passenger service along the Grand Junction Railroad in Cambridge, MA. This new service would allow the current Worcester/Framingham commuter rail line to serve both North and South stations. In response, we performed an analysis based on the existing conditions of the railroad and projected future growth of the Kendall Square business area. To perform this analysis a demand model was developed using the 2010 MIT Transportation Survey and 2000 Census Bureau Journey to Work data. The demand model was used to forecast ridership on the Grand Junction Railroad, for multiple alternatives which included the addition of a commuter rail station at Kendall Square, use of diesel multiple units to improve frequency, and a short high frequency route starting at Auburndale. The results of the analysis demonstrate that a high frequency service from Worcester along the Grand Junction Corridor attracts the most riders, approximately 1,800 peak morning commuters. With the Auburndale service and lower frequency Worcester trains having moderate ridership estimates. This forecast combined four types of riders: new inbound riders to Kendall Square, redirected inbound riders to Kendall Square, new inbound riders to Boston, and redirected reverse riders from North Station. In addition to demonstrating how the demand model and the rider survey dataset were developed this report provides a framework for a more detailed study into potential uses for passenger service along the Grand Junction Railroad.  Nigel H. M. Wilson Title: Professor of Civil and Environmental Engineering
Stable in Phase Mode Operation in Coherent VCSEL Array With an Integrated Phase Shifter
Venue: IEEE Transactions on Electron Devices
Year: 2020

Implant defined coherent vertical cavity surface emitting laser (VCSEL) arrays with an integrated phase shifter that can convert the out of phase mode into the in phase mode were demonstrated. The measured angular full width at half maximum (FWHM) from a <inline formula> <tex math notation="LaTeX"{9} \times {9} /tex math>/inline formula> coherent VCSEL array in the far field lobes is only 0.82deg. The intensity of the central lobe is about 2.9 times than that of surrounding sidelobes, showing excellent beam quality. The FWHM of the spectrum of a <inline formula> <tex math notation="LaTeX"{9} \times {9} /tex math>/inline formula> array is only 0.02 nm, showing a single mode operation. It provides a potential method to fabricate larger in phase coherent VCSEL arrays. A remaining challenge is enhancing output power via solving the heat problem.
A Controlled User Study on Human Perception of Web Search Latency
Year: 2014

We conduct two controlled user studies that reveal how response latency affects the user behavior in web search. The first study examines users' sensitivity to different levels of latency as well as their perception of response time. The second study demonstrates the effects of increasing response latency on the search experience and, more specifically, on user engagement and satisfaction. As a side contribution, we also look at potential bias due to search site branding.
Analysis and Implementation of Odia Part of Speech Tagger in recent IoT based devices through Chatbot: A review
Venue: 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA)
Year: 2020

Part of speech tagging (POST) is a challenging and advance research work as well as a sub task of Natural Language Processing (NLP) which is the most essential and useful part in various task of NLP. Now a day's research in Internet of Things (IoT) with Natural Language Processing is growing rapidly for the dedication of the society in terms of artificial intelligence and helping people to handle their hardware equipment very smoothly. This paper shows the every meaning of full text how it works in IoT based devices in terms of Chatbot with one of the functionality of Part of Speech Tagging. To simulate the text conversation by Chatbot with human users is an active process over the internet. Here text processing is deeply emphasized in terms of understanding point of view by the IoT based smart devices which are connected through internet and sensor. The role of POST is here the most important part which is helpful in text processing to support human users to simulate IoT based devices like fridge, fan and some electronics equipment. The functionality of Chatbot receives a text from the human being with the help of any natural language and process (translate the feelings of the inputted text) it, after that it understanding in a proper manner, then starts taking action and hit the target accordingly but all devices should be connected through either local area network or wide area network. Both training and test corpus is required for tagging to simulate Chatbot programming to communicate with IoT devices. Large number of tagged corpus gives more accuracy while testing the system once it is trained.
Sentiment Adaptive End to End Dialog Systems
Venue: ACL
Year: 2018

End to end learning framework is useful for building dialog systems for its simplicity in training and efficiency in model updating. However, current end to end approaches only consider user semantic inputs in learning and under utilize other user information. Therefore, we propose to include user sentiment obtained through multimodal information (acoustic, dialogic and textual) in the end to end learning framework to make systems more user adaptive and effective. We incorporated user sentiment information in both supervised and reinforcement learning settings. In both settings, adding sentiment information reduced the dialog length and improved the task success rate on a bus information search task. This work is the first attempt to incorporate multimodal user information in the adaptive end to end dialog system training framework and attained state of the art performance.
The impact of the China USA trade war on USA Chapter 12 farm bankruptcies
Year: 2020

PurposeThe purpose of this paper is to determine the effects of the 2018 2020 China US trade war on US farm bankruptcies as filed under Chapter 12. The key task is to identify the economic factors affecting farm bankruptcies generally, and to then control for the trade war impacts including the Market Facilitation Program (MFP) floods, agricultural conditions and the health of agricultural finance leading into the trade war. were obtained using ordinary least square regression and panel fixed effect model using bankruptcy rates and number as the dependent variable. Independent variables included market effects, credit conditions, yield variation, trade impacts, 2019 flooding, macroeconomic conditions and regional fixed effects. The authors use cubic splines to interpolate annual and quarterly data to a monthly base.FindingsBased on a fixed effect model, the authors find that all other things being equal the China USA trade war would have had a significant impact on Chapter 12 farm bankruptcies, increasing the bankruptcy rate by 25.7% The flooding in 2009 had minor effects of increasing the rate by only 0.05% The overall impact will, however be substantially lower than the 25.7% because of the MFP. The MFP variables (binary) had mixed effects and its true impact is unknowable at this time; however, the authors also find that a 1% increase in the producer price index decreases bankruptcy rates by 2.62% and farm bankruptcy numbers by 3.70% Likewise a 1% increase in GDP reduces bankruptcies by 3.25% These suggest that the MFP program will have likely reduced farm bankruptcies considerably than what would have occurred in their absence. The authors also find that states heavily dependent on trade faced lower market uncertainty. Broader economic factors (net charge offs of farm loans held by insured commercial banks, US real GDP, the average effective interest rate on nonreal estate farm loans) affect farm bankruptcy.implicationsThe authors use monthly bankruptcy statistics, however not all data were available in monthly measures requiring interpolation using cubic spline functions to approximate monthly changes in some variables. Although the MFP had mixed effects in the model, the mid to longer term effects may be more impactful. These longer term effects (and even shorter term effects through 2020) are complicated by the coronavirus disease 2019 (COVID 19) pandemic, which will require a different identification strategy than that employed in this paper.valueThe analysis and results of this paper are, to the authors' knowledge, the first to investigate the impact of the China US trade war on Chapter 12 farm bankruptcy filings. The use of cubic splines in the interpolation of agricultural data is also a technical innovation.
Underwater image quality enhancement through integrated color model with Rayleigh distribution
Venue: Appl. Soft Comput.
Year: 2015

Method to increase the contrast and reduce the noise of underwater image.Applied histogram modification of integrated RGB and HSV color models.Mapping the image histogram according to Rayleigh distribution.Limiting the dynamic range of color models to reduce under and over enhanced areas.Outperforms other state of the art methods in term of contrast and noise reduction. The physical properties of water cause light induced degradation of underwater images. Light rapidly loses intensity as it travels in water, depending on the color spectrum wavelength. Visible light is absorbed at the longest wavelength first. Red and blue are the most and least absorbed, respectively. Underwater images with low contrast are captured due to the degradation effects of light spectrum. Therefore, the valuable information from these images cannot be fully extracted for further processing. The current study proposes a new method to improve the contrast and reduce the noise of underwater images. The proposed method integrates the modification of image histogram into two main color models, Red Green Blue (RGB) and Hue Saturation Value (HSV) In the RGB color model, the histogram of the dominant color channel (i.e. blue channel) is stretched toward the lower level, with a maximum limit of 95% whereas the inferior color channel (i.e. red channel) is stretched toward the upper level, with a minimum limit of 5% The color channel between the dominant and inferior color channels (i.e. green channel) is stretched to both directions within the whole dynamic range. All stretching processes in the RGB color model are shaped to follow the Rayleigh distribution. The image is converted into the HSV color model, wherein the S and V components are modified within the limit of 1% from the minimum and maximum values. Qualitative analysis reveals that the proposed method significantly enhances the image contrast, reduces the blue green effect, and minimizes under and over enhanced areas in the output image. For quantitative analysis, the test with 300 underwater images shows that the proposed method produces average mean square error (MSE) and peak signal to noise ratio (PSNR) of 76.76 and 31.13, respectively, which outperform six state of the art methods.