bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of DVB on Adsorption of Methylene Blue using Coply(Eugenol-Strearyl acrylate-DVB)
Authors: Handayani D S , Masykur A , Nareswari N 
Published: July 2020

Abstract
This research aims to study the effect of divinylbenzene (DVB) on copoly(Eugenol-Stearyl Acrylate-Dvinylbenzene)/Copoly (Eg-SA-DVB) on the adsorption of methylene blue dyes. Variations of DVB ware added as much as 2%, 4% and 6% to the weight of eugenol. Adsorption was carried out by batch method in variations of acidity (pH), contact time and initial concentration of methylene blue. The results showed that the optimum pH of methylene blue dye adsorption ware pH 5.0 for copoly(Eg-DVB-SA) 2% and 6%; while for 4% was pH 3. The optimum adsorption contact time was 60 minutes for copoly(Eg-DVB-SA) 2% and 6%, while for 4% at 50 minutes. Study of adsorption kinetic presented the adsorption of methelene blue dyes using 2%, 4% and 6% copoly (Eg-DVB-SA) adsorbents followed the Largregen kinetic model, pseudo-first order. Study of isotherm revealed the adsorption of methylene blue dyes tends to follow the Langmuir isotherm. The maximum capacity of methylene dyes adsorption using copoly(Eg-DVB-SA) 2%, 4% and 6% were 31,2; 36,2 and 14,7 mg/g, with the adsorption energy 31.1; 33.6 and 31.3 KJ/mol respectively.
Power efficiency analysis in various types of coil design
Authors: Sari N , Khoiro M , Rohedi AY , Yudoyono G , Pramono YH 
Published: July 2020

AbstractThe efficiency of power produced by magnetic flux in the coil has been analysed using various forms of coil section. Magnetic flux was produced by magnets which were moved radially with a certain rotational speed. Meanwhile, a coil placed close to the magnets will produce an electromotive force (emf) according to Faraday’s law. Besides affecting the magnitude of emf, the shape of coils also affected the power loss due to partial of magnetic field radially dispersed or didn’t go through a coil cross-section. It caused only a portion of the magnetic field would be converted. Therefore, this study aims to reduce the power loss by various type of coil design i.e. round-shaped coil, square-shaped coil, and cone-shaped coil. The coil was formed by the same wire with a length of 60 m to produce the same resistance. The results showed that at a speed of 1100 rpm, the voltage which obtained using round-shaped coil, square-shaped coil, and cone-shaped coil respectively of 1.26 V and 1.01 V and 1.5 V and 1.88 V.
Application To Measuring Food Business Opportunities For The Development Of Smart Cities
Authors: Hartatik  , Putri Ayu W 
Published: July 2020

Abstract
In the development of technology, more people are using products from technology development to facilitate their daily activities especially in food industry. However, to measuring and determine opportunities when opening a food business covering food material and type of culinary. People usually choose what food ingredients are of public interest and estimates materials and cost to determine a business opportunity. In this situation a Decision Support System (DSS) can be developed, namely apus-kul is a decision makers by using certain data and models to solve some unstructured problems using Simple Additive Weighting (SAW) algorithm. This system is expected to be a means to assist the community when making decisions to choose materials and food businesses for the development of smart city governance systems.
Novel mobile application for direct communication between pharmacists and patients treated with oral antineoplastic agents
Authors: Collado-Borrell Roberto , Escudero-Vilaplana Vicente , Ribed Almudena , Jiménez Rosa Romero , Peinado Irene Iglesias , Herranz-Alonso Ana , Sanjurjo-Sáez María 
Published: July 2020

Abstract

Purpose
Initial experience with use of a smartphone application to enhance communication with and home monitoring of hematology/oncology patients under treatment with oral antineoplastic agents (OAAs) is described.

Summary
Broad use of OAAs is changing the landscape of hematology/oncology patient care, with this form of therapy giving patients greater autonomy but also raising concerns about correct OAA administration and management of adverse effects (AEs) or interactions. Information and communication technologies, specifically mobile health technologies, are ideal tools in this new environment. A multidisciplinary team at a large hospital in Spain developed a smartphone application for patients receiving OAA therapy that consists of 5 modules or functionalities: (1) a treatment agenda, or electronic journal of patient activity, including medication use; (2) a treatment record; (3) continuous recording of vital signs (blood pressure and temperature), health-related quality of life, and AEs, with management of AEs based on an algorithm that displays different recommendations according to AE severity; (4) 2-way messaging capability; and (5) information and links to websites of interest. From June through November 2017, 37 patients downloaded and used the application. About two-thirds (68%) of the patients sent a total of 182 messages to the pharmacist on duty; 58% of the patients registered at least 1 AE. The mean time of registration of the first AE after initiation of OAA therapy was 8 days. As a result of patient use of the application, 2 emergency room visits were avoided and 3 patients were referred to a general practitioner.

Conclusion
The application has allowed real-time monitoring of patients treated with OAAs. This new patient-pharmacist communication channel has facilitated the early detection of AEs, contributing to the safety of treatment and patient satisfaction with healthcare.
Assessment of impact of daily huddles and visual displays on medication delivery timeliness in a large academic medical center
Authors: Smith Andrew J F , Ahern Sean P , Shermock Kenneth M , Feller Tara T , Hill John D 
Published: July 2020

Abstract

Purpose
To evaluate the impact of pharmacy team huddles and near real-time performance dashboards on the punctuality of medication delivery departures from the adult inpatient pharmacy of a multihospital medical center.

Methods
Baseline delivery punctuality was established during a 2-week unannounced preintervention period, followed by the implementation of daily huddles focused on delivery timeliness along with visual displays of delivery performance metrics. The 5- to 15-minute huddles included pharmacy technicians, pharmacists, and managers. Printed visual displays that tracked hour-by-hour timeliness over the prior 24 hours were prominently displayed in the pharmacy. The primary outcome was the overall change in the percentage of punctual medication delivery departures (ie, deliveries leaving the pharmacy at the scheduled time) during the 2 weeks after implementation of huddles and visual displays (the postintervention period). Punctuality was assessed at both the day and shift levels using generalized estimating equations in a piecewise regression model. A multivariable model was constructed using a forward stepwise selection process to assess the potential impacts of workload drivers and staffing levels on medication delivery punctuality.

Results
During the pre- and postintervention periods, the punctuality of a total of 1,032 deliveries was recorded. Punctuality of deliveries across all shifts increased by 37% (95% confidence interval [CI], 18%-56% [P &lt; 0.001]), from 50% to 87%, immediately following implementation of the huddle intervention. When punctuality was assessed by individual shift, we observed statistically significant increases for the day (35% [95% CI, 13%-57%], P = 0.002), evening (34% [95% CI, 12%-56%], P = 0.003) and night (57% [95% CI, 35%-79%], P &lt; 0.001) shifts. During the forward stepwise multivariable model-building process, order volume, message volume, and technician staffing levels were not significantly correlated with delivery punctuality at the day or shift level.

Conclusion
Daily huddles with visual displays were successful in improving the punctuality of medication delivery departures from the pharmacy, independent of workload drivers and staffing levels.
Surrogate-guided sampling designs for classification of rare outcomes from electronic medical records data
Authors: Tan W Katherine , Heagerty Patrick J 
Published: July 2020

SummaryScalable and accurate identification of specific clinical outcomes has been enabled by machine-learning applied to electronic medical record systems. The development of classification models requires the collection of a complete labeled data set, where true clinical outcomes are obtained by human expert manual review. For example, the development of natural language processing algorithms requires the abstraction of clinical text data to obtain outcome information necessary for training models. However, if the outcome is rare then simple random sampling results in very few cases and insufficient information to develop accurate classifiers. Since large scale detailed abstraction is often expensive, time-consuming, and not feasible, more efficient strategies are needed. Under such resource constrained settings, we propose a class of enrichment sampling designs, where selection for abstraction is stratified by auxiliary variables related to the true outcome of interest. Stratified sampling on highly specific variables results in targeted samples that are more enriched with cases, which we show translates to increased model discrimination and better statistical learning performance. We provide mathematical details and simulation evidence that links sampling designs to their resulting prediction model performance. We discuss the impact of our proposed sampling on both model training and validation. Finally, we illustrate the proposed designs for outcome label collection and subsequent machine-learning, using radiology report text data from the Lumbar Imaging with Reporting of Epidemiology study.
Thermal Image-Based Object Classification for Guiding the Visually Impaired
Authors: Nancy V , Balakrishnan G 
Published: July 2020

Abstract
Thermal sensors are now being an emerging technology in image processing applications such as face recognition, fault detection, object detection and classification, navigation, etc. Owing to its versatility, it has been an influential concern for many researchers recently. Thermal sensors have proficiency of sensing the object heedless of the lighting conditions. Due to this added leverage of thermal sensors, we propose a novel scheme for spotting the object, which is targeted by a specific thermal camera. The accomplishment of this task paves the opportunity for guiding the visually impaired (VI) people within the indoor environment adequately. Augmenting the obstacles in the user’s path is requisite for the VI people’s navigation. The image of the object is captured using the thermal camera and pre-processed for enhancing the quality of that image by suppressing the background, tuning the colour channels, etc. Noise in the thermal image is eradicated to a certain extent using Gaussian smoothing process followed by Markov random field for constructing the Gaussian mixture model. Further, the pattern is deduced and classified based on the least-squares support-vector machine. The experiment is tested for disparate timing and distance, and the optimum solution is obtained. To enact the accurate outcome with short estimation period in affordable size and cost is the main added logic behind this fused concept.
ELF-aware pre-service teacher education: practices and perspectives
Authors: Biricik Deniz Esma , Kemaloglu-Er Elif , Ozkan Yonca 
Published: July 2020

AbstractEnglish as a lingua franca (ELF) is a recent paradigm in ELT which acknowledges non-native varieties in their own right and NNSs as having their own unique characteristics rather than assessing them against an NS benchmark. Despite the changing needs of today’s English language learners, there is little research on how to integrate ELF into pre-service teacher education programmes and English language teaching practice since there is a theory–practice gap due to lack of clear pedagogical descriptions and concrete classroom-driven data. This study presents an intensive educational model for pre-service teachers aiming to raise their awareness of the pedagogy of ELF, synthesizing theory with practice. It investigates how prospective teachers exposed to the ELF-aware teacher education model integrated ELF into their teaching and their viewpoints about the process. The entire process has been reported to contribute significantly to the participants’ professional development as well as presenting several challenges.
Stability of risk attitude, agricultural policies and production shocks: evidence from Italy
Authors: Bozzola Martina , Finger Robert 
Published: July 2020

AbstractThis article investigates the stability of farmers’ risk attitude over time. To this end, we estimate responses to changes in agricultural policies and production shocks. We use a unique panel data of over 36,000 Italian farms specialised in cereals, during the period 1989–2009. We find evidence of risk preference changes over time in response to changes in the European Union Common Agricultural Policy and possibly after a drought-induced production shock.
The 17th Symposium on Systems Analysis in Forest Resources: An Introduction and Synthesis
Authors: Tóth Sándor F 
Published: July 2020

Abstract
The 17th Symposium on Systems Analysis in Forest Resources was held in Suquamish, Washington, United States on August 27–30, 2017. The goal of this international meeting was to bring together operations researchers, remote sensing scientists, and the government to facilitate the exchange and implementation of systems science in forestry and conservation. The essay that follows is a summary of the outcome of the Symposium, as well as an introduction to the eight research articles that were selected for publication in this Special Issue. Each of the papers was presented at the Symposium and has undergone rigorous peer review. The papers represent a broad disciplinary scope within system analysis ranging from forest economics and management science to remote sensing. The problems addressed within these disciplines also vary, from wildfire mitigation, supply-chain optimization, bioenergy logistics, and participatory forest planning to fuel assessment. The technical tools the authors applied to these problems are equally diverse: game theory, dynamic programming, stochastic optimization, multiobjective decision theory, structure-from-motion, and airborne laser scanning.
Effect of Holding Objects on the Occurrence of Head Impact in Falls by Older Adults: Evidence From Real-Life Falls in Long-Term Care
Authors: Komisar Vicki , Shishov Nataliya , Yang Yijian , Robinovitch Stephen N 
Published: July 2020

Abstract

Background
Falls cause approximately 80% of traumatic brain injuries in older adults, and nearly one third of falls by residents in long-term care (LTC) result in head impact. Holding objects during falls, such as mobility aids, may affect the ability of LTC residents to avoid head impact by arresting the fall with their upper limbs. We examined the prevalence of holding objects and their effect on risk for head impact during real-life falls in older adults living in LTC.

Methods
We analyzed videos of 1105 real-life falls from standing height by 425 LTC residents, using a validated questionnaire to characterize the occurrence of head impact and whether the resident held objects during descent and impact. We classified objects as either “weight-bearing” (via contact to the fixed environment, eg, chairs and walkers) or “non-weight-bearing” (eg, cups) and tested their effect on odds for head impact with generalized estimating equations.

Results
Residents held objects in more than 60% of falls. The odds for head impact were reduced for falls where weight-bearing objects were held or grasped during descent (odds ratio = 0.52; 95% confidence interval = 0.39–0.70) or maintained throughout the fall (odds ratio = 0.34; 95% confidence interval = 0.23–0.49). The most commonly held objects were chairs/wheelchairs (23% of cases), tables/counters (10% of cases), and walkers/rollators (22% of cases); all reduced the odds of head impact when held during descent. Holding non-weight-bearing objects did not affect the odds of head impact (odds ratio = 1.00; 95% confidence interval = 0.64–1.55).

Conclusion
Our results show that older adults in LTC use held, weight-bearing objects to reduce their risk for head impact during falls.
3-D scattering of elastic waves by small-scale heterogeneities in the Earth’s mantle
Authors: Leng K , Korenaga J , Nissen-Meyer T 
Published: July 2020

SUMMARY
Small-scale heterogeneities in the Earth’s mantle, the origin of which is likely compositional anomalies, can provide critical clues on the evolution of mantle convection. Seismological investigation of such small-scale heterogeneities can be facilitated by forward modelling of elastic wave scattering at high frequencies, but doing so with conventional 3-D numerical methods has been computationally prohibitive. We develop an efficient approach for computing high-frequency synthetic wavefields originating from small-scale mantle heterogeneities. Our approach delivers the exact elastodynamic wavefield and does not restrict the geometry or physical properties of the local heterogeneity and the background medium. It combines the technique of wavefield injection and a numerical method called AxiSEM3D. Wavefield injection can decompose the total wavefield into an incident and a scattered part. Both these two parts naturally have low azimuthal complexity and can thus be solved efficiently using AxiSEM3D under two different coordinate systems. With modern high-performance computing (on an order of magnitude of 105 CPU-hr), we have achieved a 1 Hz dominant frequency for global-scale problems with strong deep Earth scattering. Compared with previous global injection approaches, ours allows for a 3-D background medium and yields the exact solution without ignoring any higher-order scattering by the background medium. Technically, we develop a traction-free scheme for realizing wavefield injection in a spectral element method, which brings in several flexibilities and simplifies the implementation by avoiding stress or traction computation on the injection boundary. For a spherical heterogeneity in the mid-lower mantle, we compare the 3-D full-wave solution with two approximate ones obtained, respectively, by the perturbation theory and in-plane (axisymmetric) modelling. As a comprehensive application, we study S-wave scattering by a 3-D ultra-low velocity zone, incorporating 3-D crustal structures on the receiver side as part of the background model.
Diet of snow crab in the Barents Sea and macrozoobenthic communities in its area of distribution
Authors: Zakharov Denis V , Manushin Igor E , Nosova Tatiana B , Strelkova Natalya A , Pavlov Valery A 
Published: July 2020

Abstract
This article investigates the diet of the snow crab (Chionoecetes opilio) and its feeding intensity in the Barents Sea. Data show that snow crab has a diverse diet that includes almost all types of benthic invertebrates living in the Barents Sea. There are differences between the diets of females and males and of juveniles and adults. Juveniles and females typically occupy shallow areas with communities of bivalve molluscs, while males typically live deeper on slopes and depressions where polychaetes and crustaceans are the most abundant groups. Stomach contents were analysed to determine the species composition and frequency of occurrence of various benthic taxa. Consumption of food was estimated and compared with data from the Russian seas of the Pacific region. The total annual consumption of macrozoobenthos by snow crab was calculated in accordance with its current distribution in the Barents Sea. Snow crab consumes at least 30 000 tonnes of benthos annually, which amounts to 0.1–0.2% of the total macrozoobenthic biomass in the investigated area. The population of snow crab causes the largest impact on the benthic communities in the northeastern part of the Barents Sea and near the south side of the Novaya Zemlya archipelago.
Non-intubated thoracoscopic lobectomies for lung cancer: an exploratory systematic review and meta-analysis
Authors: Prisciandaro Elena , Bertolaccini Luca , Sedda Giulia , Spaggiari Lorenzo 
Published: July 2020

Abstract

Our goal was to assess the safety, feasibility and oncological outcomes of non-intubated thoracoscopic lobectomies for non-small-cell lung cancer (NSCLC). A comprehensive search was performed in EMBASE (via Ovid), MEDLINE (via PubMed) and Cochrane CENTRAL from January 2004 to March 2020. Studies comparing non-intubated anaesthesia with intubated anaesthesia for thoracoscopic lobectomy for NSCLC were included. An exploratory systematic review and a meta-analysis were performed by combining the reported outcomes of the individual studies using a random effects model. For dichotomous outcomes, risk ratios were calculated and for continuous outcomes, the mean difference was used. Three retrospective cohort studies were included, with a total of 204 patients. The comparison between non-intubated and intubated patients undergoing thoracoscopic lobectomy showed no statistically significant differences in postoperative complication rates [risk ratio 0.65, 95% confidence interval (CI) 0.36–1.16; P = 0.30; I2 = 17%], operating times (mean difference −12.40, 95% CI −28.57 to 3.77; P = 0.15; I2 = 48%), length of hospital stay (mean difference −1.13, 95% CI −2.32 to 0.05; P = 0.90; I2 = 0%) and number of dissected lymph nodes (risk ratio 0.92, 95% CI 0.78–1.25; P = 0.46; I2 = 0%). Despite the limitation of only 3 papers included, awake and intubated thoracoscopic lobectomies for resectable NSCLC seem to have comparable perioperative and postoperative outcomes. Nevertheless, the oncological implications of the non-intubated approach should be considered. The long-term benefits for patients with lung cancer need to be carefully assessed.
Development of a Copper-Based Metal Organic Electrode for Nitrite Sensing
Authors: Liu Hong-Ying , Wen Jia-Jun , Xu Han-Xiao , Qiu Yu-Bin , Yin Zheng-Zhi , Li Li-Hua , Gu Chun-Chuan 
Published: July 2020

Abstract

Background
Nitrite is naturally present in vegetables and added to processed meats to enhance their color and prolong their shelf life. It is of concern because it reacts to form nitrosamines, which have been linked to cancer.

Objective
To develop a quick, reliable, and inexpensive method for quantifying nitrite in foods.

Method
A copper-based metal organic framework (Cu-MOF)/gold-platinum alloy nanoparticle(Au@Pt)-modified glassy carbon electrode (GCE) was developed via a simple wet chemical synthesis followed by electrochemical deposition of gold-platinum alloy nanoparticles onto the surface of a GCE. Morphological characterization and component analysis of the prepared nanomaterials were carried out by Fourier transform infrared spectroscopy and scanning electron microscopy. Cyclic voltammetry and electrochemical impedance spectroscopy were used to study the electrochemical behavior of the fabricated electrodes.

Results
The quantitative and specific detection of nitrite was obtained by the amperometric i–t method. At a pH of 7, temperature of 25°C, and ionic strength of 0.4 M, the electrode exhibited a linear range of 0.001–12.2 mM nitrite with a low detection limit of 72 nM (S/N = 3).

Conclusions
The Cu-MOF/Au@Pt/GCE exhibited good repeatability, reproducibility, stability, and selectivity to provide a capable analysis method for food samples.

Highlights
A Cu-MOF with a large surface area and high porosity was developed to provide an electrode with many active sites. The Au@Pt alloy nanoparticle improved the electrocatalytic activity toward nitrite. The synergistic action between the Cu-MOF and Au@Pt alloy nanoparticle enhanced the electrochemical performance of the sensor.