bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation Strategies for Improving HPV Vaccination in Large Healthcare Systems
Authors: Grabert BK , Liu A , Heisler-MacKinnon J , Schlusser CL , Gilkey MB 
Published: March 2020

Abstract
HPV vaccination could prevent most of the 34,000 HPV-attributable cancers diagnosed in the U.S. each year, but uptake remains suboptimal. Given the increasing consolidating of pediatric primary care, large healthcare systems are key partners in implementing interventions to improve HPV vaccination. To inform future partnerships, we sought to explore implementation strategies systems currently use to improve HPV vaccination. Methods: We conducted in-depth telephone interviews with a multi-state sample of QI leaders in 15 large healthcare systems. Guided by Powell and colleagues's typology of implementation strategies, we analyzed data qualitatively via content analysis. Results: QI leaders reported using a wide range of implementation strategies for improving vaccination services generally, but described barriers to improving HPV vaccination specifically. Many prioritized assessment and feedback, or giving providers data on their vaccination rates, to inform practice improvements. However, several leaders noted that their electronic medical records did not offer HPV vaccine-specific quality metrics, but rather reported on adolescent vaccines in combination, limiting their ability to focus on HPV vaccination. QI leaders also generally favored provider financial incentives, but none were using this strategy to improve HPV vaccination, either due to the lack of an HPV vaccine-specific metric or low prioritization of the metric compared to others. QI leaders perceived provider training as an effective strategy for improving prescribing practices; however, many noted that time with providers for HPV vaccine-specific training was extremely limited. Conclusions: The emergence of large healthcare systems provides an opportunity to leverage existing QI infrastructure for addressing underuse of evidence-based preventive services. Large healthcare systems are motivated to improve vaccination services and use diverse implementation strategies to do so. However, in the case of HPV vaccination, our findings suggest that limitations in existing quality metrics, along with payment structures that constrain time for provider training, are two key barriers to practice improvements.
Single-Cell Immune Competency Signatures Associate with Survival in Phase II GVAX and CRS-207 Randomized Studies in Patients with Metastatic Pancreatic Cancer
Authors: Nair Nitya , Chen Shih-Yu , Lemmens Ed , Chang Serena , Le Dung T. , Jaffee Elizabeth M. , Murphy Aimee , Whiting Chan , Müller Thomas , Brockstedt Dirk G. 
Published: March 2020

AbstractThe identification of biomarkers for patient stratification is fundamental to precision medicine efforts in oncology. Here, we identified two baseline, circulating immune cell subsets associated with overall survival in patients with metastatic pancreatic cancer who were enrolled in two phase II randomized studies of GVAX pancreas and CRS-207 immunotherapy. Single-cell mass cytometry was used to simultaneously measure 38 cell surface or intracellular markers in peripheral blood mononuclear cells obtained from a phase IIa patient subcohort (N = 38). CITRUS, an algorithm for identification of stratifying subpopulations in multidimensional cytometry datasets, was used to identify single-cell signatures associated with clinical outcome. Patients with a higher abundance of CD8+CD45RO−CCR7−CD57+ cells and a lower abundance of CD14+CD33+CD85j+ cells had improved overall survival [median overall survival, range (days) 271, 43–1,247] compared with patients with a lower abundance of CD8+CD45RO−CCR7−CD57+ cells and higher abundance of CD14+CD33+CD85j+ cells (77, 24–1,247 days; P = 0.0442). The results from this prospective–retrospective biomarker analysis were validated by flow cytometry in 200 patients with pancreatic cancer enrolled in a phase IIb study (P = 0.0047). The identified immune correlates provide potential prognostic or predictive signatures that could be employed for patient stratification.
Artificial Neural Network Based Economic Generation Scheduling in Nigeria Power Network
Authors: Eseosa Omorogiuwa , S.O Onohaebi 
Published: March 2020

<p>Economic generation scheduling determines the most efficient and economic means of dispatch of generated energy to meet the continuously varying load demand at the most appropriate minimum cost, while meeting all the units equality and inequality constraints in power network. This is currently not applicable in Nigeria power network. The network under study consists of seventeen (17) generating stations (Existing Network, National Integrated Power Projects and the Independent Power Producers). This work investigates economic generation and scheduling in Nigeria 330KV integrated power network at minimum operating cost using the classical kirmayer’s method and Artificial Neural Network (ANN) for its optimization in Matlab environment. ANN is trained to adopt its pattern at different load demands and acquires the ability to give load demand as soon as the set target and goal tends to equality. Cost function for each generating unit as well as a model for economic generation scheduling was developed.</p>
Performance Analysis of (Bi2Te3-PbTe) Hybrid Thermoelectric Generator
Authors: Angeline A Anitha , J Jayakumar 
Published: March 2020

The performance of (Bi<sub>2</sub>Te<sub>3</sub>-PbTe) hybrid thermoelectric generator (TEG)<strong> </strong>composed of n-type Bismuth Telluride and p-type Lead Telluride semiconductor materials is presented in this paper. <strong> </strong>The effect of different performance parameters such as output voltage, output current, output power, maximum power output, open circuit voltage, Seebeck co-efficient, electrical resistance, thermal conductance, figure of merit, efficiency, heat absorbed and heat removed based on maximum conversion and power efficiency have been theoretically analyzed by varying the hot side temperature of the hybrid thermoelectric generator up to 350<sup>o</sup>C and by varying the cold side temperature from 30<sup>o</sup>C to 150<sup>o</sup>C. The results showed that a maximum power output of 21.7 W has been obtained with the use of one hybrid thermoelectric module for a temperature difference of 320<sup>o</sup>C between the hot and cold side of the thermoelectric generator at matched load resistance. The figure of merit was found to be around 1.28 which makes its usage possible in the intermediate temperature (250<sup>o</sup>C to 350<sup>o</sup>C) applications such as heating of Biomass waste, heat from Biomass cook stoves or waste heat recovery etc. It is also observed that the hybrid thermoelectric generator offers superior performance over 250<sup>o</sup>C of the hot side temperature, compared to standard Bi<sub>2</sub>Te<sub>3 </sub>modules.
A Fuzzy Logic Based Mppt Controller For Wind-Driven Three-Phase Self-Excited Induction Generators Supplying Dc Microgrid
Authors: Mohan B.Murali , Reddy M.Pala Prasad , Lakshminarayana M. 
Published: March 2020

<p class="Default"><span lang="EN-US">In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generator is being worked in self-energized mode with excitation capacitor at stator. The output current i.e., dc grid current act as a control variable to track the MP in the proposed WECS. In this manner, the proposed calculation for maximum power point tracking (MPPT) is autonomous of the machine and wind-turbine parameters. Further, a technique has been created for deciding the obligation proportion of the dc-dc converter for working the proposed system in MPPT condition utilizing wind turbine qualities, relentless state proportionate circuit of prompting generator and power balance in power converters. Circuit straightforwardness and basic control calculation are the significant points of interest of the proposed setup for supplying energy to the dc microgrid from WECS. The fruitful working of the proposed calculation for Fuzzy logic based MPPT has been shown with broad exploratory results alongside the simulated values.</span></p>
An Examination of the Impact of Power Sector Reform on Manufacturing and Services Sector in Nigeria: an Empirical Analysis
Authors: Ojiya Emmanuel Ameh , Chukwuemeka Ngwu Jerome , Daneji B.A. , Isiwu George Duhu 
Published: March 2020

<p><em>The main objective of this study is to empirically examine the impact of Power Sector Reform on Manufacturing and Services Sector in Nigeria between 1999-2016. The study employed secondary annual time series data sourced from World Bank database (2016). The methodology adopted for the study was Augmented Dickey-Fuller (ADF); a test for long-run relationship using ARDL Bounds Testing approach with analysis of long-run and short-run dynamics in the model. A striking revelation from the study is the inverse relationship that exists between manufacturing output and electricity consumption in Nigeria within the period referenced. </em><em>This negative relationship is not unconnected with widespread allegation of misappropriation of budgeted funds for the Power Sector by successive administrations in Nigeria since 1999. It must be stated in clear terms that constant and consistent electricity generation, transmission and distribution is sine-qua-none for the growth of the national economy. Virtually all sectors of the economy depend on the supply of electricity to do business and so the lack of this vital ingredient of growth contributes in no small measure in stagnating economic growth and development. Efforts at reforming the power sector can only be fruitful when ALL stakeholders in the power sector including the political class put away their personal agendas and take the bull by the horn towards rescuing the nation from the looming danger of stagnant economic growth. Furthermore, </em><em>there is the need for the Nigerian government to come up with new, better and alternative ways of improving energy generation and supply, as well as proper maintenance of electricity infrastructure in the country.</em></p>
On the High Dimentional Information Processing in Quaternionic Domain and its Applications
Authors: Kumar Sushil , Kumar Tripathi Bipin 
Published: March 2020

<p>There are various high dimensional engineering and scientific applications in communication, control, robotics, computer vision, biometrics, etc.; where researchers are facing problem to design an intelligent and robust neural system which can process higher dimensional information efficiently. The conventional real-valued neural networks are tried to solve the problem associated with high dimensional parameters, but the required network structure possesses high complexity and are very time consuming and weak to noise. These networks are also not able to learn magnitude and phase values simultaneously in space.<strong> </strong> The quaternion is the number, which possesses the magnitude in all four directions and phase information is embedded within it. This paper presents a well generalized learning machine with a quaternionic domain neural network that can finely process magnitude and phase information of high dimension data without any hassle. The learning and generalization capability of the proposed learning machine is presented through a wide spectrum of simulations which demonstrate the significance of the work.</p>
CP-NR Distributed Range Free Localization Algorithm in WSN
Authors: Prashar Deepak , Jyoti Kiran , Kumar Dilip 
Published: March 2020

<p>Advancements in wireless communication technology have empowered the researchers to develop large scale wireless networks with huge number of sensor nodes. In these networks localization is very active field of research. Localization is a way to determine the physical position of sensor nodes which is useful in many aspects such as to find the origin of events, routing and network coverage. Locating nodes with GPS systems is expensive, power consuming and not applicable to indoor environments. Localization in three dimensional space and accuracy of the estimated location are two factors of major concern. In this paper, a new three dimensional Distributed range-free algorithm which is known as CP-NR is proposed. This algorithm has high localization accuracy and resolved the problem of existing NR algorithm. CP-NR (Coplanar and Projected Node Reproduction) algorithm makes use of co-planarity and projection of point on plane concepts to reduce the localization error. Results have shown that CP-NR algorithm is superior to NR algorithm and comparison is done for the localization accuracy with respect to variations in range, anchor density and node density.</p>
Energy and Load Aware Routing Protocol for Internet of Things
Authors: Sankar S. , Srinivasan P. 
Published: March 2020

<p>Maximizing the network lifetime is one of the major challenges in Low Power and Lossy Networks (LLN). Routing plays a vital role in it by minimizing the energy consumption across the networks through the efficient route selection for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a IETF standardized IPv6 routing protocol for LLN. In this paper, we propose Energy and Load aware RPL (EL-RPL) protocol, which is an enhancement of RPL protocol. It uses a composite metric, calculated based on expected transmission count (ETX), Load and battery depletion index (BDI), for the route, selection. The COOJA simulator is used for performance evaluation. EL-RPL is compared with other similar protocols RER(BDI) RPL and fuzzy logic based RPL (OF-FL RPL). The simulation result shows that the EL-RPL improves the network lifetime by 8-12% and packet delivery ratio 2-4%.</p>
Active power loss reduction by opposition based kidney search algorithm
Authors: Lenin Kanagasabai 
Published: March 2020

In this work Opposition based Kidney Search Algorithm (OKS) is used to solve the optimal reactive power problem. Kidney search algorithm imitates the various sequences of functions done by biological kidney. Opposition based learning (OBL) stratagem is engaged to commence the algorithm. This is to make certain high-quality of preliminary population and to expand the exploration steps in case of stagnation of the most excellent solutions. Opposition based learning (OBL) is one of the influential optimization tools to boost the convergence speed of different optimization techniques. The thriving implementation of the OBL engages evaluation of opposite population and existing population in the similar generation to discover the superior candidate solution of a given reactive power problem. Proposed Opposition based Kidney Search Algorithm (OKS) has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show that the proposed algorithm reduced the real power loss efficiently.
Compact planar ultrawideband MIMO antenna for wireless applications
Authors: Pavithra P. , Sriram A. , Kalimuthu K. 
Published: March 2020

<p>A compact microstrip fed printed monopole MIMO antenna with ultrawideband (UWB) frequency response (S11&lt; -10 dB for 3.1-10.6 GHz) is proposed in this paper. The proposed antenna is miniaturized and has a high isolation of &gt; 23 dB between the ports compared to the existing UWB multiinput multi output (MIMO) antennas in the literature. The proposed antenna is built on FR4 substrate with thickness of 1.6 mm using all-digital single chip architecture and it is planar in geometry to be easily integrated with the other electronic components in the printed circuit board (PCB). The UWBMIMO antenna is analyzed using simulation and measurements and its performance is investigated. The antenna is extremely useful for low power short range communications and it provides high multipath immunity due to diversity.</p>
Survey of part-of-speech tagger for mixed-code Indian and foreign language used in social media
Authors: Nikam Bhushan Ashokrao 
Published: March 2020

<p>Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocates chunks of speech to individual word (and another token), such as verb, adjective, nown etc., as more fine-grained POS tags are used in computational applications like 'noun-plural'. Basically, the goal of a POS tagger is to allocate linguistic (mostly grammatical) information to sub-sentential units, called tokens as well as to words and symbols (e.g. punctuation). This paper presents a survey of POS Tagger used for code-Mixed Indian and Foreign languages. Various methods, procedures, and features required to device POS Tagger for code-mixed foreign languages especially for Indian are studied and observations related to it are reported.</p>
Mira Schendel
Authors: Batistela Erica Dias 
Published: March 2020

E quando nem os preceitos, nem a prática, nem a arte produzida são passíveis de uma classificação definitiva? E quando o fazer artístico consegue se desconectar da história, do tempo, e transitar livremente entre a palavra e o silêncio, entre a imagem e a transparência, a escultura e o vazio? Esses questionamentos talvez não deixassem o plano das abstrações se pelo concreto Haroldo de Campos não tivesse chegado à Mira Schendel. Nesta artista além-métodos e teorias e disposta a um esforço enorme, ao mesmo que sutil, para significar sua alma de artista em diferentes suportes expressivos, o desejo de dizer é latente. A nós, resta o prazer de escutá-lo.
Lagrangian Analysis of Tropical Cyclone Genesis Simulated by General Circulation Models Compared with Observations
Authors: Song Chanwoo , Park Sungsu , Shin Jihoon 
Published: March 2020

AbstractAs a contribution to understanding the genesis of tropical cyclones (TCs), we compared TC genesis processes simulated by the Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme (SAM0) and the Community Atmosphere Model version 5 (CAM5) with those from the ERA-Interim reanalysis (ERA-Interim, hereafter ERAI) and best track observations. In contrast to previous studies that estimated the TC genesis potential using the Eulerian mean environmental conditions, we calculated the probability of a pre-existing weak cyclonic embryo vortex (EV) developing into a TC by analyzing changes in the environmental conditions along the EV trajectories. Our analysis indicates that the spatial distribution and annual cycles of TCs obtained from the SAM0 and ERAI are similar to those obtained from the best track observation data. With the exception of the mesoscale convective organization and associated variables, most environmental variables along the trajectories of DEVs (EVs developing into TCs) showed monotonic variations. When EVs were born, environmental conditions of DEVs were significantly different from those of nondeveloping EVs, allowing for the prediction of TC genesis. In general, TC genesis probability increased as the environment became more cyclonic, moist, unstable, and with a weaker wind shear. Rapidly strengthening EVs were more likely to develop into TCs. SAM0 and ERAI have the same combination of environmental variables with the best prediction skill for TC genesis—absolute vorticity at 850 hPa, column saturation deficit, sea surface temperature, vertical shear of horizontal winds between 200 and 850 hPa, and latitude—with similar sensitivities to individual environmental variables, indicating that SAM0 well simulates the observed TC genesis processes.
Decreased Tongue Volume Post Radiation
Authors: Garber David , Rotsides Janine , Abu-Ghanem Sara , Bandler Ilana , Smith Amy , Oyfe Irina , Swahn Dawn-Marie , Hagiwara Mari , Amin Milan , Johnson Aaron M. 
Published: March 2020

Objectives: To evaluate volume changes within the tongue post chemoradiation therapy (CRT) Study Design: Retrospective review Setting: Academic Medical Center Subjects and Methods: Subjects included 19 patients that received CRT as the primary treatment for tonsillar or hypopharynx squamous cell carcinoma. Tongue volumes were calculated by three raters from thin slice computed tomography images collected before treatment and up to 29 months post-CRT. Body mass index (BMI) was also collected at each time point. Results: Inter-rater reliability was high with an ICC of 0.849 (95% CI = 0.773, 0.905). Linear mixed effects modeling showed a mean decrease of 0.45 cm3 (standard error of the mean [SEM] = 0.11) in tongue volume per month post-CRT ( P < .001). However, the addition of BMI to the model was significant (χ2 (4) = 25.0, P < .001), indicating that BMI was a strong predictor of tongue volume, with a mean decrease of 1.75 cm3 (SEM = 0.49) in tongue volume per unit decrease in BMI ( P < .001) and reducing the post-CRT effect on tongue volume decrease per month to 0.23 cm3 ( P = .02). BMI significantly ( P < .001) decreased by 0.11 units (SEM = 0.02) per month post radiation. Conclusion: Tongue dysfunction and decreased tongue strength are significant contributors to the dysphagia that patients experience after receiving CRT. In this study, both tongue volume and BMI decreased post-CRT; therefore, BMI could potentially be used as a predictor of tongue volume post-CRT.
Il percorso socialista di Gabriele D’Annunzio tra storia e letteratura
Authors: Alosco Antonio 
Published: March 2020

La complessa personalità di Gabriele D’Annunzio, in una costante sincronica evoluzione della produzione letteraria con l’attivismo politico, ha attraversato un periodo – spesso dimenticato dai critici – di vicinanza alle idee socialiste. Attratto dalla vitalità e dalle idee progressiste della sinistra che rispondeva alle leggi liberticide e reazionarie di Pelloux, se ne fece influenzare sia nel periodo dell’impresa fiumana, che in una prima fase di contestazione al fascismo, appoggiando la sinistra radicale. Influssi dannunziani si ritrovano, in quel periodo, nel linguaggio adottato dall’ Avanti! e nell’apprezzamento che anche ambienti socialisti dimostrarono per l’opera letteraria del Vate. Dopo il 1906 le strade dei socialisti e di D’Annunzio si divaricarono fino a contrapporsi. D’Annunzio rilanciò le posizioni nazionalistiche e, al rientro in Italia dopo il soggiorno in Francia tra il 1904 e il 1915, condusse un’attività politica tradottasi, nelle fasi iniziali della Prima guerra mondiale, nel sostegno attivo dei movimenti interventisti, poi nella partecipazione attiva sul campo come “uomo d’arme”, e da ultimo nelle azioni postbelliche degli irredentisti. Le imprese “rivoluzionarie” del poeta affascinarono anche alcune frange del socialismo italiano e l’impresa di Fiume, realizzata in collaborazione con il socialista Alceste De Ambris, raccolse gli elogi di Lenin e produsse la Carta del Carnaro, costituzione che conteneva elementi avanzati di matrice socialista.