Miracle-dz/UniFAR-FTUs huggingface dataset:
Anatomical relationship of the internal jugular vein and the common carotid artery in Korean : A computed tomographic evaluation

Background: It is important to understand the anatomical relationship of the internal jugular vein (IJV) to the common carotid arteries (CCAs) to avoid inadvertent arterial injury. This study used computed tomography (CT) to evaluate this relationship and the changes associated with simulated 30 o body rotation (SR30) in Korean subjects. Methods: A retrospective analysis of 81 healthy adult subjects was performed using CT during physical checkups between November 2012 and September 2013. Data on both the left and right side IJV and CCA were recorded at the level of the cricoid cartilage and analyzed. The CCA was used as a reference for estimating the IJV location; this was recorded as lateral, anterior, medial, or posterior, using a segmented grid. The degree of overlap was calculated as a percentage, and changes to the anatomic relationship and overlap percentage caused by SR30 were derived. Results: Prior to simulating rotation, the IJV was lateral (54.3%), posterolateral (27.2%), anterolateral (17.9%), or anterior (0.6%) to the CCA. After SR30, their position moved significantly in the anterolateral direction (P = 0.000). The degree of overlap significantly increased from 42.0 to 91.4% after SR30 (P = 0.000). No significant difference was observed between results obtained on the right and left sides before or after SR30. Conclusions: Special attention should be paid to possible CCA puncture during IJV catheterization because head or body rotation may induce anterior shifting of the IJV location relative to the CCA as well as an increased degree of overlap. (Anesth Pain Med 2015; 10: 118-123)
Expert Assignment Method Based on Similar Document Retrieval

The paper describes the problem of expert assignment. Based on the analysis of methods that are currently used to solve this problem, the main short-comings of these methods were identified. These shortcomings can be eliminated by analysing large collections of documents whose authors are potential experts. The article describes the method of compiling a ranked list of experts for a given document, using similar document retrieval. To evaluate the proposed method, we used a collection of grants applications from a science foundation. Experimental studies show that the more documents are available where experts are authors, the better the performance of the proposed method becomes. In conclusion, the current limitations of the proposed method are discussed, and future work is described.
Supplementary Information Wirtinger Holography for Near-eye Displays

Authors’ addresses: Praneeth Chakravarthula, cpk@cs.unc. edu, University of North Carolina at Chapel Hill, Chapel Hill, NC; Yifan Peng, evanpeng@stanford.edu, Stanford University, Stanford, CA; Joel Kollin, jkollin@microsoft.com, Microsoft Research, Redmond, WA; Henry Fuchs, fuchs@cs.unc. edu, University of North Carolina at Chapel Hill, Chapel Hill, NC; Felix Heide, fheide@cs.princeton. edu, Princeton University, Princeton, NJ.
Metal oxide-based supercapacitors: progress and prospectives

Distinguished by particular physical and chemical properties, metal oxide materials have been a focus of research and exploitation for applications in energy storage devices. Used as supercapacitor electrode materials, metal oxides have certified attractive performances for fabricating various supercapacitor devices in a broad voltage window. In comparison with single metal oxides, bimetallic oxide materials are highly desired for overcoming the constraint of the poor electric conductivity of single metal oxide materials, achieving a high capacitance and raising the energy density at this capacitor-level power. Herein, we investigate the principal elements affecting the properties of bimetallic oxide electrodes to reveal the relevant energy storage mechanisms. Thus, the influences of the chemical constitution, structural features, electroconductivity, oxygen vacancies and various electrolytes in the electrochemical behavior are discussed. Moreover, the progress, development and improvement of multifarious devices are emphasized systematically, covering from an asymmetric to hybrid configuration, and from aqueous to non-aqueous systems. Ultimately, some obstinate and unsettled issues are summarized as well as a prospective direction has been given on the future of metal oxide-based supercapacitors.
Generic Biometric Footprint Recognition Framework for Personal Security

The present paper introduces a matcher framework for footprint based biometric system. Extensive literature survey concerning traditional techniques for access control and latest biometrics technique observed and proved the significance of a footprint based recognition system. The problem has been identified based on the gap. The standard algorithm for enrolment authentication and identification has proposed in the methodology section. The paper defines a generic framework for footprint biometric system. Pre-processing phase normalized the images for further processing. For feature extraction fuzzy logic and neural network, the technique has anticipated in feature set generation Phase. The matching and decision module tries to meet almost all trade-offs between biometric systems. The error rate is also being expected to reduce to level ±1 %.
Customer Agility Capabilities at EuroBank: The Role of ICT and Organizational Routines

Banks, once a stable industry, are increasingly facing fierce competition, volatile markets and changing customer needs and expectations. To successfully operate in such competitive and uncertain market conditions, they need to develop agile operations that quickly detect and respond to market changes. In this paper, we present an explorative case study on how a large European bank (EuroBank) develops its customer agility. The findings show that customer agility requires dynamic capabilities that combine ICT capabilities and organizational routines in harmonious and active ways. Based on the dynamic capabilities approach and the case data analysis, we develop a Customer Agility Capabilities (CAC) framework. It depicts the dynamic capabilities, with their alignment, that are necessary for achieving customer agility and the associated operational agility.
Concurrent chemoradiotherapy via nimotuzumab combined with cisplatin improves clinical efficacy in middle-late staged nasopharyngeal carcinomas

Objective: The aim of this study was to examine clinical efficacy and adverse reactions in middle-late staged nasopharyngeal carcinomas using concurrent chemoradiotherapy of nimotuzumab combined with cisplatin. Methods: A total of 86 patients with locally middle-late staged nasopharyngeal carcinomas were given radiotherapy. A total of 45 patients receiving nimotuzumab and cisplatin, at the same time, were included in the study group, while the other 41 patients receiving only cisplatin were included in the control group. Therapeutic efficacy and adverse reactions of the two groups were compared. Patients were evaluated, before and after therapy, with the Functional Assessment of Cancer Therapy-Head & Neck (FACT-H&N). Moreover, 3-year-survials of the two groups of patients were recorded. Results: The effective rate of the study group was 93.33%, significantly higher than that of the control group (78.05%) (P=0.041). Incidence of adverse reactions in the study group was significantly lower than that of the control group (all P<0.050). FACT-H&N scores, before treatment, were not significantly different between the two groups (P>0.050), while the FACT-H&N score of the study group was significantly higher than that of the control group, after treatment (P<0.001). The 3-year overall survival rate of the study group was 91.11%, significantly higher than that of the control group (67.44%) (P=0.045). Conclusion: Concurrent chemoradiotherapy of nimotuzumab combined with cisplatin will effectively improve clinical efficacy and reduce adverse reactions of patients with middle-late staged nasopharyngeal carcinomas. Thus, this therapy is worthy of extensive clinical promotion.
Towards the Principal Applicability of a Zone Concept to Create a User-Friendly Secure Mobile Environment

Copyright is held by the author/owner(s). UbiComp ’13 Adjunct, Sept 8-12, 2013, Zurich, Switzerland. ACM 978-1-4503-2139-6/13/09. $15.00. Abstract In the last decades mobile devices have evolved to hand-held computers. Their hardware(processing power, communication interfaces, available memory, etc.) and software(mobile operating system, third party applications, etc.) capabilities enable functionality far beyond simple phone calls and text messaging. The disadvantage of more complex software is that mobile devices become more vulnerable to attacks. The increasing number of “smart” devices on the market makes them an attractive target for attackers. We address this problem by proposing security zones on mobile devices separated on file, user or operating system level. These zones are used to provide the possibility to implement security critical applications with a strong focus on usability.
Wireless Sensor Networks for Fire Detection and Control

Due to current technological progress, the manufacturing of tiny and low price sensors became technically and economically feasible. Sensors can measure physical surroundings related to the environment and convert them into an electric signal. A huge quantity of these disposable sensors is networked to detect and monitor fire. This paper provides an analysis of utilisation of wireless sensor networks for fire detection and control. KeywordsFire Detection, Wireless Sensor Networks, Fire control, Disaster Control __________________________________________________*****_________________________________________________
Feasibility study of recalculation of the dose for lung cancer radiotherapy using cone beam computed tomography images from a linear accelerator: a heterogeneous phantom study

The goal of this study was to evaluate the feasibility of recalculating the dose based on cone beam computed tomography (CBCT) images using an end-to-end thorax heterogeneous phantom. A CT simulator (SIEMENS, Sensation Open, Germany) was used for calibrating the curve of HU-to-density. The CBCT system evaluated in this study was assembled on an Electron Linear Accelerator (Varian Medical System, EDGE, USA). Image acquisitions of electron density phantom for both computed tomography (CT) and CBCTs were performed, and then the CT number to relative electron density calibration curve was obtained. The end-to-end heterogeneous phantom was scanned by CT simulation and the target volume was contoured to design a dummy treatment plan. The CBCT image was scanned before the simulated treatment, and registration between the CBCT and CT images was performed. The dummy treatment plan was transplanted to the CBCT images to recalculate the dose of the treatment plan. Then, differences of the dose volume histogram and three-dimensional isodose distribution were evaluated between the recalculated plan and the original dummy treatment plan. The HU-to-density curves for CBCT of the EDGE accelerator showed in principle a single upward trend. The D95% of the clinical target volume and planning target volume for the recalculated plan based on the CBCT images were lower than the original dummy treatment plan based on the CT images by 1.69% and 2.62%, respectively. On the premise of the CT number-relative density curve calibration of the CBCT images, the recalculated dose based on the high-quality CBCT images can be used as an important basis for replanning in lung cancer irradiation.
Automatic Page Classification in a Large Collection of Manuscripts Based on the International Image Interoperability Framework

In patrimonial institutions such as libraries and archives, the valorization of the vast amount of documents that have been recently digitized is still a challenge. Most of these documents are freely accessible as images but their textual content remains largely unreachable and unknown. Research projects dedicated to specific collection allow creating meta-data or even transcriptions obtained through volunteers or crowd-sourcing. But the vast majority of the documents cannot be manually transcribed or indexed: automatic large-scale processes for indexing are needed. The increasing adoption of the International Image Interoperability Framework (IIIF) by the patrimonial institutions is a technological enabler for the development of such services. Images are accessible with a unique protocol across institutions and both images and data can be presented with standard tools. In this paper, we describe an architecture for automatic processing of historical documents owned by different institutions but processed and presented thanks to the IIIF framework. We implemented this architecture and processed a large collection of books of hours with a page classifier trained on an annotated sample. The result is freely distributed and can be viewed with any IIIF compatible viewer.
Review of CO2 emission standards for new cars and vans

According to the IA, road transport caused 22 % of all EU greenhouse gas (GHG) emissions in 2015, 73 % of which came from cars and vans (IA, p. 19). The transport sector (except for aviation) is not covered by the EU's emissions trading system (ETS), adopted in 2005 in the context of international efforts to reduce GHG. Instead, the EU has put sector-specific legislation in place, in particular to reduce carbon dioxide (CO2) emissions. When it became clear that a 1999 voluntary emissions reduction agreement between the European Commission and the Association of European Automobile Manufacturers had not delivered, the EU adopted two regulations on mandatory CO2 standards for all new passenger cars and vans, in 2009 and 2011 respectively. Both were amended in 2014 with new emissions targets.4 After the Paris Agreement, countries such as China, the United States of America (USA) and Japan quickly began implementing ambitious policies for low-carbon transport. To comply with the agreement, the EU included the proposal to amend the current legislation in the European Commission's 2017 work programme.
Assessment of Meteorological Impact and Emergency Plan for a Heavy Haze Pollution Episode in a Core City of the North China Plain

ABSTRACT The Beijing-Tianjin-Hebei region, characterized by frequent episodes of severe haze pollution during winter, is recognized as one of the key regions requiring air pollution control. To reduce the effects of severe pollution, early warning and emission reduction measures should be executed prior to these haze episodes. In this study, the efficacy of emission reduction procedures during severe pollution episodes was evaluated using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). To provide feedback and optimize emergency emission reduction plans, a pollution episode that occurred during the period of December 20–26, 2015, which was characterized by a high warning level, long warning period, and integrated pollution process, was selected as a case study to determine the influence of meteorological conditions and the effects of mitigation measures on heavy haze pollution episodes. Adverse meteorological conditions were found to increase PM2.5 concentrations by approximately 34% during the pollution episode. Moreover, the largest contributor to the episode was fossil fuel combustion, followed by dust emission and industrial processes; the first two factors play a significant role in most districts in Tianjin, whereas the third more strongly affects the adjoining districts and Binhai District. Emission reduction for industrial sources and domestic combustion more obviously decreases PM2.5 concentrations during the pollution dissipation stage than the pollution accumulation stage. Thus, different mitigation measures should be adopted in different districts and during different pollution stages. An approximate decrease of 18.9% in the PM2.5 concentration can be achieved when an emergency plan is implemented during the red alert period for heavy haze pollution episodes.
Long wave low frequency motion in a sheared pre-stressed layer composed of Neo-Hookean material

We consider two-dimensional long wave low frequency motion in a pre-stressed layer composed of Neo-Hookean material. Specifically, the pre-stress is a simple shear deformation. Derivation of the dispersion relation associated with traction-free boundary conditions is briefly reviewed. Appropriate approximations are established for the two associated long wave modes. From these approximations it is clear that there may be either two, one or no real long wave limiting phase speeds. These approximations are also used to establish the relative asymptotic orders of the displacement components and pressure increment. Using these relative orders to motivate the introduction of appropriate a scales, an asymptotically consistent model long wave low frequency motion is established. It is shown that in the presence of shear there is neither bending nor extension, or analogues of their previously established pre-stressed counterparts. In fact, both the in-plane and normal displacement components have the same asymptotic orders and the derived governing equation is of vector form.
Automatic Processing and Acoustic Normalization of Vowels

This paper was writen based on a research project, ‘Acoustic Normalization of Hakka Vowels in Taiwan’’ (NSC 101-2410-H-390-026-MY2) granted by the National Science Council, Taiwan. The researcher would like to thank Prof. Raung-fu Chung for his insightful guidance and constructive suggestions. Gratitude also extended to the participants in the current study. Abstract This paper addressed the issue of automatic processing of phonetic cues and acoustic normalization of Hakka vowel production in Mainland China and in Taiwan. An acoustic study of Hakka vowels, produced by native speakers of Hakka, was conducted. Fifty participants (twenty from Mainland China and thirty from Taiwan) were invited to read a wordlist of Hakka with six vowels embedded in different contexts (i.e. in different tones, in different phrase positions). An automatic approach was then adopted to analyze the collected acoustic data. Acoustic cues of F0, F1, F2, F3 and F4 were automatically fetched, and these cues were further examined in the normalization procedures. Based on the discussion on the normalization of Hakka vowels, implications for relevant linguistic issues and applications of machine learning to speech and language processing were provided.
Low-Cost Magneto-Inductive Communications Using 3D Spherical Multi-Coils for Wireless Sensor Networks

This paper presents the design and field tests of a low-cost Magneto-Inductive (MI) communication system for wireless sensor network applications. The proposed MI communication system utilizes three coils in a 3D spherical structure to improve the spatial sensitivity patterns and communication range. The sensor nodes equipped with the 3D multi-coil MI system are designed to communicate at 125 kHz carrier frequency with 1 – 5 kbps data rate. The sensor nodes are implemented by micro-controller, watchdog receiver, RFID transmitter, and digital and analog sensors. Field tests in air and underwater demonstrate that the proposed sensor nodes can achieve reliable communication at a range of 50 – 60 meters with a data rate up to 4 kbps. The power consumption of the nodes is less than 1 mW in sleep mode, 10 mW in active receiving mode, and 200 mW in transmit mode. Therefore, the system is suitable for long-term deployment in underwater and underground WSN.
Modelling Non-Stationary Financial Time Series with Input Warped Student T-Processes

The evolution of financial assets is known to be non-stationary and to present long tails and non-Gaussian. Gaussian processes are a flexible and general Bayesian nonparametric generative model that provide flexible priors on function spaces and interpretable uncertainty quantification. While GP are extremely flexible function approximators, their Gaussian marginal distribution makes them inappropriate to model financial assets returns distributions. We present the Student t-processes that are known to fit heavier tail. We also augment the model with input warping to account with the financial time series non stationarity. We present a case study of fitting the evolution of SP500 index stressing the importance of good uncertainty estimates, especially when the series manifests structural breaks.
Iterative Mode Scheduling with Application to Power Network Regulation

This paper describes a method for scheduling the events of a switched system that achieve an optimal performance. The approach has guarantees on convergence and computational complexity which parallel derivative-based iterative optimization but in the infinite dimensional, integer constrained setting of mode scheduling. In comparison to methods relying on mixed integer programming, the presented approach does not require a priori discretizations of time or state. Furthermore, in comparison to embedding and relaxation methods, every iteration of the algorithm returns a dynamically feasible solution. A large class of problems call for optimal mode scheduling, including calculating the timing of discrete changes to the parameters of a high dimensional multimachine power network for synchronization, which is the example in the paper. Both single horizon and receding horizon approaches prevent instability of the network, and the receding horizon approach does so at near real-time speeds on a single processor.
Recurrent Photoreceptor Loss with Spontaneous Recovery as a Presenting Sign of Syphilitic Outer Retinopathy

A 64-year-old male presented with sudden onset of decreased vision with a central blind spot and shimmering visual symptoms without significant inflammatory findings, and was noted on optical coherence tomography to have localized loss of photoreceptors, which spontaneously resolved after two weeks. This recurred subsequently three times spaced by months of recovery with normal vision and normal photoreceptors. In the fourth episode, the patient developed an arcuate-shaped area of outer retinitis more typical for acute syphilitic posterior placoid chorioretinitis, and the diagnosis was made serologically. With subsequent treatment for syphilis, there was not any recurrence after the treatment and vision recovered to 20/20 with a normal photoreceptor layer.
Agronomic classification between vineyards ('Verdejo') using NDVI and Sentinel-2 and evaluation of their wines

A classification between three vineyards belonging to the Appellation of Origin Rueda (Castilla y Leon, Spain) has been established in veraison to determine the productive capacities of each vineyard and to study their impact on the grape quality. Several open-access multispectral images obtained from the SENTINEL-2A satellite in the year 2016 were used to calculate the NDVI (Normalized Difference Vegetation Index), which provides information about the vigour of the vineyards. Eleven cloud-free images were assessed and based on the NDVI, three vigour levels were established: high vigour (0.356-0.458), medium vigour (0.285-0.355) and low vigour (0.166-0.284). A level of vigour was assigned to each vineyard according to the NDVI mean values of its pixels. Significant differences were found in the pruning wood weight and yield: high, medium and low vigour values were 2438, 1895 and 1487 kg·ha-1 and 15984, 12990 and 10576 kg·ha-1, respectively. The highest values of total acidity (6.04 g·L-1) and tartaric acid (9.05 g·L-1) have been obtained in low vigour, as well as the lowest values of pH (3.26), malic acid (0.42 g·L-1) and potassium (1640 ppm). Finally, one wine per vigour was produced and a tasting was carried out to check if the differences between the vineyards were perceptible. According to the obtained results, the NDVI is a good indicator to classify vineyards, finding notable differences between the experimental treatments studied.