bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real time condition monitoring of hydraulic brake system using naive bayes and bayes net algorithms
Authors: Alamelu Manghai T M , Jegadeeshwaran R , Sakthivel G 
Published: October 2019

Abstract
The vehicles usage is increasing day by day due to the recent, technological development in the automotive field. In a competitive global market in order to survive, the reliability needs to be ensured, through a proper monitoring system. Brake system is one such control component, in which much focus is very much essential. An efficient brake system should provide reliable and effective performance in order to ensure the safety. If it is not properly monitored, it may lead to a serious catastrophic effect such as accidents, brake down, etc. Hence, the brake system needs to be monitored continuously. In this study, an experimental investigation was carried out for monitoring the brake system using vibration signals. An experimental setup which resembles the brake system was fabricated. The vibration signals were acquired under various brake condition such as good and faulty. From the acquired vibration signals, the features were extracted using statistical and histogram feature extraction techniques and feature selection was carried out. The selected features were then classifieds using a Naive Bayes and Bayes Net a classifier. The classification accuracy of all the algorithms were compared for finding the best feature classifier model for monitoring the brake condition.
Milling cutter condition monitoring using machine learning approach
Authors: Patange A D , Jegadeeshwaran R , Dhobale N C 
Published: October 2019

Abstract
The cutting tool condition drives the economy of machining processes in manufacturing industry. The failures in cutting tool are unbearable and affect the drive of machine tool which reduces life. Hence it necessitates reducing power consumption using monitoring cutting tool condition and hence requires an efficient supervision to monitor and predict faults. Simply stated, the condition which curtails cutting tool life highlighted before it turns into a tool wear, breakage and failure. This ensures optimized and effective use of a cutting tool, saves maintenance/repair time, enhances constancy in a process etc. The recent development in Machine Learning (ML) and its applicability for condition monitoring approach has drawn attention of researchers. Machine learning examines existing and past indications to predict conditions in future. This paper presents machine learning based condition monitoring of milling cutter of vertical machining centre (VMC). The vibration signals acquisition of 4 insert milling cutter is carried out with healthy and various fault conditions. The Visual Basic (VB) code and script is used to extract statistical features and decision tree algorithm is used to select relevant features. The different conditions of milling cutter are classified using tree family classifiers. The effort made in this work is to check applicability of ML approach for milling cutter fault diagnosis for reducing power consumption of drive of machine tool.
Recasting Navier–Stokes equations
Authors: Reddy M H Lakshminarayana , Dadzie S Kokou , Ocone Raffaella , Borg Matthew K , Reese Jason M 
Published: October 2019

Abstract
Classical Navier–Stokes equations fail to describe some flows in both the compressible and incompressible configurations. In this article, we propose a new methodology based on transforming the fluid mass velocity vector field to obtain a new class of continuum models. We uncover a class of continuum models which we call the re-casted Navier–Stokes. They naturally exhibit the physics of previously proposed models by different authors to substitute the original Navier–Stokes equations. The new models unlike the conventional Navier–Stokes appear as more complete forms of mass diffusion type continuum flow equations. They also form systematically a class of thermo-mechanically consistent hydrodynamic equations via the original equations. The plane wave analysis is performed to check their linear stability under small perturbations, which confirms that all re-casted models are spatially and temporally stable like their classical counterpart. We then use the Rayleigh-Brillouin scattering experiments to demonstrate that the re-casted equations may be better suited for explaining some of the experimental data where original Navier–Stokes equations fail.
Multi-form solitary wave solutions of the KdV-Burgers-Kuramoto equation
Authors: Tchaho Clovis Taki Djeumen , Omanda Hugues Martial , Mbourou Gaston N’tchayi , Bogning Jean Roger , Kofané Timoléon Crépin 
Published: October 2019

Abstract
This work is dedicated to the construction of solitary wave solutions of the KdV-Burgers-Kuramoto equation. The peculiarity of the solutions obtained for this purpose is that they result from the combination of solitary waves of the bright and dark type thus generating multi-form solutions which are also called hybrid solitary waves. The Bogning-Djeumen Tchaho-Kofané method is used to obtain the results. The reliability and feasibility of these results are tested using numerical simulations.
Do extra compactified dimensions of space cause a substructure underlying the expected eigenstates of a molecule?
Authors: Weber H G 
Published: October 2019

Abstract
Experimental results on NO2 are explained based on the ADD-model of large extra compactified dimensions of space. We assume that gravity is sufficiently strong in a compactification space of the size of the molecule to affect the vibrational motion of the nuclei by causing an asymmetric perturbation in the symmetric stretch vibrational motion of the optically excited state. At the same excitation energy, there are also other electronic states of different symmetry (conical intersection of potential energy surfaces), which may couple with the optically excited state. Due to the gravitational perturbation the nuclei being in the symmetric stretch vibration mode of the optically excited electronic state pass over into the asymmetric stretch vibration mode of an isoenergetic electronic state. This parity conserving change of the vibronic wave function enhances a small gravitational perturbation to an optically detectable signal. The perturbation is associated with a time constant of about 3 μs, which we attribute to fluctuations of the shape of the compactification space induced by a background cosmic field.
20 cm resolution mapping of tundra vegetation communities provides an ecological baseline for important research areas in a changing Arctic environment
Authors: Greaves Heather E , Eitel Jan U H , Vierling Lee A , Boelman Natalie T , Griffin Kevin L , Magney Troy S , Prager Case M 
Published: October 2019

Abstract
Arctic tundra vegetation communities are spatially heterogeneous and may vary dramatically from one meter to the next. Consequently, representing Arctic tundra vegetation communities accurately requires very high resolution raster maps (<5 m grid cell size). However, using remotely sensed data to produce maps with sufficient spatial detail at an extent appropriate for understanding landscape-scale ecological patterns is challenging. In this study, we used predictor layers derived from airborne lidar and high-resolution (∼5 cm) 4-band airborne imagery to classify vegetation communities at 20 cm spatial resolution for three landscapes (12.5 km2 total) near the Toolik Lake research area in the Alaskan Low Arctic. The maps were built using a Random Forest model that was trained and tested on 800 ground reference plots, using classes derived from commonly used legends on existing polygon maps of the area. Withheld test plots (25% of dataset) had a balanced map accuracy of 0.57, kappa of 0.47, and weighted (fuzzy) kappa of 0.65. These maps provide high-resolution plant community information that can serve as important baseline reference data for vegetation monitoring and change detection in this rapidly changing tundra ecosystem, and as validation for coarser scale maps. They also permit fine-scale characterization of landscape phenomena such as community-level nutrient dynamics and wildlife habitat suitability in an important Arctic research site. Our approach demonstrates that very high resolution mapping results can be achieved and validated by integrating high-resolution remote-sensing datasets from multiple sensors in a machine learning model trained on simple field reference data.
Impact of Residents on Operative Time in Aesthetic Surgery at an Academic Institution
Authors: Peterson Erin C , Ghosh Trina D , Qureshi Ali A , Myckatyn Terence M , Tenenbaum Marissa M 
Published: October 2019

Abstract

Background
Duration of surgery is a known risk factor for increased complication rates. Longer operations may lead to increased cost to the patient and institution. While previous studies have looked at the safety of aesthetic surgery with resident involvement, little research has examined whether resident involvement increases operative time of aesthetic procedures.

Objectives
We hypothesized that resident involvement would potentially lead to an increase in operative time as attending physicians teach trainees during aesthetic operations.

Methods
A retrospective cohort analysis was performed from aesthetic surgery cases of two surgeons at an academic institution over a 4-year period. Breast augmentation and abdominoplasty with liposuction were examined as index cases for this study. Demographics, operative time, and resident involvement were assessed. Resident involvement was defined as participating in critical portions of the cases including exposure, dissection, and closure.

Results
A total of 180 cases fit the inclusion criteria with 105 breast augmentation cases and 75 cases of abdominoplasty with liposuction. Patient demographics were similar for both procedures. Resident involvement did not statistically affect operative duration in breast augmentation (41.8 ± 9.6 min vs 44.7 ± 12.4 min, P = 0.103) or cases for abdominoplasty with liposuction (107.3 ± 20.5 min vs 122.2 ± 36.3 min, P = 0.105).

Conclusions
There was a trend toward longer operative times that did not reach statistical significance with resident involvement in two aesthetic surgery cases at an academic institution. This study adds to the growing literature on the effect resident training has in aesthetic surgery.

Level of Evidence: 2
Prevalence of Coxiella burnetii (Legionellales: Coxiellaceae) Infection Among Wildlife Species and the Tick Hyalomma lusitanicum (Acari: Ixodidae) in a Meso-Mediterranean Ecosystem
Authors: González Julia , González Marta G , Valcárcel Félix , Sánchez Maria , Martín-Hernández Raquel , Tercero José María , Olmeda A Sonia 
Published: October 2019

AbstractQ fever is a worldwide zoonosis caused by Coxiella burnetii (Derrick) Philip. It is a major cause of abortion among sheep and may be responsible for reproductive losses in red deer in Spain. Airborne transmission is the most widespread; however, some studies suggested that ticks may play a role, but little is known about their actual involvement in the C. burnetii cycle. The aim of this study was to determine the role that Hyalomma lusitanicum (Koch) tick plays in the maintenance of this agent among wildlife in the meso-Mediterranean areas. We processed by PCR 53 swabs from wild rabbits, 21 liver samples from red deer, and 236 ticks collected at different stages. Coxiella burnetii DNA was detected in 43.40% of wild rabbits and 38.09% of red deer, supporting the hypothesis that these animals are quite likely to serve as a reservoir in the field. We also found a high prevalence of C. burnetii in ticks (55.66%). It is worth noting that 50.45% of positive ticks were collected from negative hosts, suggesting that the pathogen probably was acquired at a previous tick stage. Our results suggest transstadial transmission, and the presence of bacterial DNA in the offspring of positive female ticks is the first evidence of the transovarial transmission of C. burnetii by H. lusitanicum. Thus, this tick species seems to play an important role as a bridge of infection in the wildlife cycle, although further studies are needed to confirm vector competence.
Investing in our nation’s future military leaders’ synthetic biology knowledge to understand and recognize threats and applications
Authors: Steel J Jordan , Bates Katherine L , Barnhart Michael D 
Published: October 2019

Abstract
Synthetic biology encompasses some of the greatest advancements in biology. With improvements in molecular methods and techniques that allow targeted and highly efficient genome manipulation, the capabilities of engineering biology have significantly increased. These enhancements in biotechnology represent significant potential benefits and risks to the global population. It is important that future leaders are trained and understand the incredible benefits, opportunities and risks associated with synthetic biology. The US Department of Defense (DoD) has issued a technical assessment on the future opportunities of synthetic biology and has encouraged the military institutions to expand and encourage bioengineering research programs. At the US Air Force Academy (USAFA), opportunities are provided for future Air Force officers to recognize the potential and risks associated with synthetic biology by participating in the USAFA Synthetic Biology Education Program (USBEP). Cadets can enroll in synthetic biology courses to learn and master molecular biology techniques and work on independent undergraduate research projects. In addition, cadets have the opportunity to join the USAFA’s International Genetically Engineered Machine (iGEM) team and compete in the international synthetic biology competition. This report includes details on how USAFA has recruited, enrolled and encouraged synthetic biology research and education among future leaders in the US Air Force.
Rethinking the “Indian War”: Northern Indians and Intra-Native Politics in the Western Canada-U.S. Borderlands
Authors: Wadewitz Lissa K 
Published: October 2019

Abstract
The standard interpretation of Washington Territory’s “Indian War” of the mid-1850s is not only east-west in its orientation, it also leaves little room for Indian auxiliaries, let alone mercenaries-for-hire from the north Pacific coast. “Northern Indians” from what later became northwestern British Columbia and southeastern Alaska provided crucial productive, reproductive, and military labor for early Euro-American settlers. Because Coast Salish communities on both sides of the border had experienced decades of raids and conflicts with various groups of northern Indians by the 1850s, Euro-Americans’ hiring of northern Indians in particular illustrates the importance of intra-Indian geopolitics to subsequent events. When placed in this larger context, the “Indian War” of 1855–56 in western Washington must be seen as part of a longer continuum of disputes involving distant Native groups, intra-Indian negotiations, and forms of Indigenous diplomacy. A closer look at how the key players involved attempted to manipulate these connections for their own purposes complicates our understandings of the military conflicts of the mid-1850s and reveals the significance of evolving Native-newcomer and intra-Indian relations in this transformative decade.
CE: Knowledge of Precision Medicine and Health Care: An Essential Nursing Competency
Authors: Lebet Ruth , Joseph Paule V. , Aroke Edwin N. 
Published: October 2019

ABSTRACT:
Advances in genetic and genomic research, combined with the rapid development of new technologies, have reshaped our understanding of health and disease processes, generating what have collectively become known as “omics” sciences. These sciences are now an integral part of health care delivery, with nurses and nurse scientists at the forefront, implementing and adapting genomic technologies in the clinical setting while advancing knowledge in these areas. With the increasing focus on precision medicine and health care, integrating genetic and genomic knowledge has become an essential competency in nursing care, research, and education, as it enables nurses to collaborate effectively with patients in improving their health and well-being.
Implementing a Fast-Track Team Triage Approach in Response to Hurricane Maria
Authors: Parak Brittany E. , Hodge Nancy S. , Eccleston Sarah D. 
Published: October 2019

ABSTRACT

Background: Hurricane Maria struck Puerto Rico on September 20, 2017, and caused widespread damage to the island, resulting in decreased access to health care. Sixteen days later, a mobile military hospital (MMH) was deployed to Humacao, Puerto Rico, to provide medical relief. Overcrowding in EDs is a problem in disaster relief responses, as was the case here. Initial triage practices resulted in long wait times and limited access to care, and many people left before being seen by a provider.

Purpose: This study describes the implementation of a combined fast-track and team triage process to quickly and effectively screen patients in the MMH.

Methods: In addition to maintaining a formal triage, our ED staff combined two systems, fast track and team triage, to accommodate the influx of patients. This newly combined approach consisted of a health care provider (an MD, NP, or physician assistant) and an RN to facilitate the evaluation, treatment, and discharge of lower-acuity patients.

Results: During peak operations (days 13 to 26 of the total 31 days of operation), 70% of MMH patients were evaluated, treated, and discharged from the combined fast-track and team triage, while only 28% of patients were sent to formal triage; patients with critical conditions (2% of the total) were sent directly to the ED. The mean number of patients seen daily in the first 10 days of operation (n = 84) increased by an average of 48% (n = 124) in the 14 days of peak operations.

Conclusion: The combined fast-track and team triage approach enabled us to quickly and effectively screen patients and greatly improved clinical outcomes and patient flow in a mobile facility.
Before, after, & after-after
Authors: Rogge Mary Madeline , Gautam Bibha 
Published: October 2019

Abstract:
Weight recovery among obese patients who have lost weight through lifestyle modification or bariatric surgery is a common clinical challenge that often leads to patient stigmatization and unexpected health problems. A review of the literature describes how weight loss alters energy homeostasis to limit weight loss and restore lost fat mass in patients who have successfully lost weight.
Bladder cancer
Authors: Farling Kristen Burns 
Published: October 2019

Abstract:
Bladder cancer is the most common genitourinary cancer in the United States. Symptoms of bladder cancer mimic those of a urinary tract infection, which can delay timely diagnosis. Because of the high rate of bladder cancer, it is likely advanced practice registered nurses will be responsible for the care of patients with bladder cancer. This article reviews the signs and symptoms of bladder cancer along with management options to safely care for this patient population.
Paragangliomas of the Head and Neck
Authors: Weissmann Thomas , Lettmaier Sebastian , Roesch Johannes , Mengling Veit , Bert Christoph , Iro Heinrich , Hornung Joachim , Janka Rolf , Semrau Sabine , Fietkau Rainer , Putz Florian 
Published: October 2019

Objectives:
To investigate local control and functional outcome following state-of-the-art fractionated stereotactic radiotherapy (FSRT) for paragangliomas of the head and neck.

Methods:
In total, 40 consecutive patients with paragangliomas of the head and neck received conventionally FSRT from 2003 to 2016 at the Department of Radiation Oncology of the University Hospital Erlangen. Local control, toxicities, and functional outcome were examined during follow-up. In total, 148 magnetic resonance imaging studies were subjected to longitudinal volumetric analysis using whole tumor segmentation in a subset of 22 patients.

Results:
A total of 80.0% (32/40) of patients received radiotherapy as part of their primary treatment. In 20.0% (8/40) of patients, radiation was used as salvage treatment after tumor recurrence in patients initially treated with surgery alone. The median dose applied was 54.0 Gy (interdecile range, 50.4 to 56.0 Gy) in single doses of 1.8 or 2 Gy. Local control was 100% after a median imaging follow-up of 52.2 months (range, 0.8 to 152.9 mo). The volumetric analysis confirmed sustained tumor control in a subset of 22 patients and showed transient enlargement (range, 129.6% to 151.2%) in 13.6% of cases (3/22). After a median volumetric follow-up of 24.6 months mean tumor volume had diminished to 86.1% compared with initial volume. In total, 52.5% (21/40) of patients reported improved symptoms after radiotherapy, 40% (16/40) observed no subjective change with only 7.5% (3/40) reporting significant worsening.

Conclusions:
State-of-the-art FSRT provides excellent control and favorable functional outcome in patients with paragangliomas of the head and neck. The volumetric analysis provides improved evidence for sustained tumor control.
Impacts of Treatment Modalities on Physical Activity After First Acute Myocardial Infarction in Jordan
Authors: Shajrawi Abedalmajeed , Al-Smadi Ahmed Mohammad , Al-Shawabkeh Ghadeer Khaled , Aljribeea Hanadi Saleh , Khalil Heba 
Published: October 2019

Background
Promoting physical activity is a priority after coronary revascularisation for effective long-term cardiovascular care and to avoid further disease progression and complications. But little is known about the effect of different types of acute myocardial infarction (AMI) treatment modalities in changes in physical activity level post-AMI.

Objective
This study aimed to examine changes in physical activity among patients treated with different treatment modalities post–first AMI during early recovery phase at week 2 (time 1) and week 6 (Time 2) after hospitalization.

Methods
A descriptive study was done using a repeated-measures design. Physical activity was measured by a body-worn activity monitor (activPAL3 monitor) for 24 hours a day for full 7 consecutive days at time 1 and time 2 after hospitalization. Demographic and clinical data were collected from patients' records. The study was conducted in 1 setting in Jordan. Participants were met at time 1 and time 2. The study recruited a convenience sample of 94 patients with AMI. Participants did not have access to cardiac rehabilitation. The participants were categorized according to type of AMI treatment modalities into 3 groups: ST-elevation myocardial infarction treated by primary percutaneous coronary intervention, ST-elevation myocardial infarction treated by thrombolytic therapy, and non–ST-elevation myocardial infarction treated by medication.

Results
Patients treated by primary percutaneous coronary intervention had a statistically significant effect on changes in mean steps count and mean stepping time per day better than patients treated by other treatment modalities between weeks 2 and 6 after hospitalization.

Conclusion
The study showed that patients treated with primary percutaneous coronary intervention had better mean steps count and mean stepping time per day between weeks 2 and 6 after hospitalization in comparison with other treatment modalities. These findings could be used for development of effective intervention in the future. Further research using different research methods such as longitudinal studies among different cultures to confirm the finding of this study is recommended.