bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of Titanium Oxide-Based Nanoparticles Modified with D-(+)-Mannose and Investigation of their Properties As A Potential Drug Carrier
Authors: Pulit-Prociak Jolanta , Staroń Anita , Długosz Olga , Kluz Klaudia , Banach Marcin 
Published: September 2020

AbstractTitanium oxide nanoparticles modified with D-(+)-mannose were obtained. In the process of their formation, they were conjugated with an active substance (tadalafil). The physicochemical properties of the obtained products were assessed, and the size and electrokinetic potential were determined using a dynamic light scattering technique. X-ray diffractometry was applied in order to define the crystalline properties, and Fourier-transform infrared spectroscopy was used to confirm the formation of the desired products. It was possible to obtain TiO2 coated with D-(+)-mannose. The average size of nanoparticles was between 230 and 268 nm. The release of the active substance from the product over a time period of three hours was assessed against the reference material, which was not modified by D-(+)-mannose. The results indicate that covering titanium oxide nanoparticles with the modifying substance favours a slower rate of release for the active substance, which is the desired effect from a pharmacological point of view. The releasing of active substance from modified products was even 68% slower than that from the reference product. These modified titanium oxides are promising materials that may have found an application as drug carriers.

Graphic Abstract
Cooperative multiobjective optimization with bounds on objective functions
Authors: Kaliszewski I. , Miroforidis J. 
Published: September 2020

AbstractWhen solving large-scale multiobjective optimization problems, solvers can get stuck because of memory and/or time limitations. In such cases, one is left with no information on the distance to the best feasible solution, found before the optimization process has stopped, to the true Pareto optimal solution. In this work, we show how to provide such information. To this aim we make use of the concept of lower shells and upper shells, developed in our earlier works. No specific assumptions about the problems to be solved are made. We illustrate the proposed approach on biobjective multidimensional knapsack problems derived from single-objective multidimensional knapsack problems in the Beasley OR Library. We address cases when a top-class commercial mixed-integer linear solver fails to provide Pareto optimal solutions attempted to be derived by scalarization.
Noise Thermometry for Ultralow Temperatures
Authors: Fleischmann A. , Reiser A. , Enss C. 
Published: September 2020

AbstractIn recent years, current-sensing dc-SQUIDs have enabled the application of noise thermometry at ultralow temperatures. A major advantage of noise thermometry is the fact that no driving current is needed to operate the device and thus the heat dissipation within the thermometer can be reduced to a minimum. Such devices can be used either in primary or relative primary mode and cover typically several orders of magnitude in temperature extending into the low microkelvin regime. Here we will review recent advances of noise thermometry for ultralow temperatures.
Role of Hair Coverage and Sweating for Textile Friction on the Forearm
Authors: Lyu Jingchun , Özgün Novaf , Kondziela David J. , Bennewitz Roland 
Published: September 2020

AbstractFriction of textiles on the human forearm is an important factor in comfort sensations of garments. We built an experiment to measure friction for textiles sliding on the forearm under loading conditions which are characteristic for wearing shirts or jackets. The hair coverage of the participants’ forearm was quantified by image analysis of photographs of the arm in the region of contact. Friction results for five standard textiles suggest to treat hair coverage in two classes. Sweating after physical activity leads to an increase of friction by factors of 2 to 5 for participants with less hairy forearms, while an increase by a factor of 1 to 1.7 only was found for participants with more hairy forearms. We introduce a method of wetting the forearm of study participants in a controlled way with water, which results in similar friction as for the sweating forearm after physical activity. The method allows for efficient studies of the role of skin moisture for friction including varying hair coverage of the skin.
On sample preparation methods for fermented beverage VOCs profiling by GCxGC-TOFMS
Authors: Zhang Penghan , Carlin Silvia , Lotti Cesare , Mattivi Fulvio , Vrhovsek Urska 
Published: September 2020

AbstractIntroductionAromas and tastes have crucial influences on the quality of fermented beverages. The determination of aromatic compounds requires global non-targeted profiling of the volatile organic compounds (VOCs) in the beverages. However, experimental VOC profiling result depends on the chosen VOC collection method.ObjectivesThis study aims to observe the impact of using different sample preparation techniques [dynamic headspace (DHS), vortex-assisted liquid–liquid microextraction (VALLME), multiple stir bar sorptive extraction (mSBSE), solid phase extraction (SPE), and solid phase micro-extraction (SPME)] to figure out the most suitable sample preparation protocol for profiling the VOCs from fermented beverages.MethodsFive common sample preparation methods were studied with beer, cider, red wine, and white wine samples. After the sample preparation, collected VOCs were analyzed by two-dimensional gas chromatography coupled with time of flight mass spectrometry (GCxGC-TOFMS).ResultsGCxGC oven parameters can be optimized with the Box–Behnken surface response model and response measure on peak dispersion. Due to the unavoidable column and detector saturation during metabolomic analysis, errors may happen during mass spectrum construction. Profiling results obtained with different sample preparation methods show considerable variance. Common findings occupy a small fraction of total annotated VOCs. For known fermentative aromas, best coverage can be reached by using SPME together with SPE for beer, and VALLME for wine and cider.ConclusionsGCxGC-TOFMS is a promising tool for non-targeted profiling on VOCs from fermented beverages. However, a proper data processing protocol is lacking for metabolomic analysis. Each sample preparation method has a specific profiling spectrum on VOC profiling. The coverage of the VOC metabolome can be improved by combining complementary methods.
Analysis of conservative tracer measurement results inside a planted horizontal subsurface flow constructed wetland filled with coarse gravel using Frechet distribution
Authors: Dittrich Ernő , Klincsik Mihály , Somfai Dávid , Dolgos-Kovács Anita , Kiss Tibor , Szekeres Anett 
Published: September 2020

AbstractWe worked out a method in Maple environment to help understand the difficult transport processes in horizontal subsurface flow constructed wetlands filled with coarse gravel (HSFCW-C). With this process, the measured tracer results of the inner points of a HSFCW-C can be fitted more accurately than with the conventionally used distribution functions (Gaussian, Lognormal, Fick (Inverse Gaussian) and Gamma). This research outcome only applies for planted HSFCW-Cs. The outcome of the analysis shows that conventional solutions completely stirred series tank reactor (CSTR) model and convection-dispersion transport (CDT) model do not describe the internal transport processes with sufficient accuracy. This study may help us develop better process descriptions of very complex transport processes in HSFCW-Cs. Our results also revealed that the tracer response curves of planted HSFCW-C conservative inner points can be fitted well with Frechet distribution only if the response curve has one peak.
Mineralogy and heavy metal assessment of the Pietra del Pertusillo reservoir sediments (Southern Italy)
Authors: Buccione Roberto , Fortunato Elisabetta , Paternoster Michele , Rizzo Giovanna , Sinisi Rosa , Summa Vito , Mongelli Giovanni 
Published: September 2020

AbstractThe Pietra del Pertusillo freshwater reservoir is a major artificial lake of environmental, biological, and ecological importance located in the Basilicata region, southern Italy. The reservoir arch-gravity dam was completed in 1963 for producing hydroelectric energy and providing water for human use, and nearby there are potential sources of anthropogenic pollution such as urban and industrial activities. For the first time, the minero-chemistry of the lake and fluvio-lacustrine sediments of the reservoir have been evaluated to assess the environmental quality. Moreover, the composition of fluvial sediments derived from the peri-lacual zone of the reservoir and of local outcropping bedrock were also studied to understand the factors affecting the behavior of elements in the freshwater reservoir, with particular attention paid to heavy metals. In Italy, specific regulatory values concerning the element threshold concentration for lake and river sediments do not exist, and for this reason, soil threshold values are considered the standard for sediments of internal waters. The evaluation of the environmental quality of reservoir sediments has been performed using enrichment factors obtained with respect to the average composition of a reconstructed local upper continental crust. We suggest this method as an innovative standard in similar conditions worldwide. In the studied reservoir sediments, the trace elements that may be of some environmental concern are Cr, Cu, Zn, As, and Pb although, at this stage, the distribution of these elements appears to be mostly driven by geogenic processes. However, within the frame of the assessment and the preservation of the quality of aquatic environments, particular attention has to be paid to As (which shows median value of 10 ppm, reaching a maximum value of 26 ppm in Quaternary sediments), constantly enriched in the lacustrine samples and especially in the fine-grained fraction (median = 8.5 ppm).
Influence of Hot Isostatic Pressing on the Hot Ductility of Cast Alloy 718: The Effect of Niobium and Minor Elements on the Liquation Mechanism
Authors: Singh Sukhdeep , Hanning Fabian , Andersson Joel 
Published: September 2020

AbstractThe influence of two hot isostatic pressing (HIP) treatments on liquation behavior was investigated and compared with regard to the extent of heat-affected zone liquation cracking in cast Alloy 718. The extent of liquation was seen to increase after HIP treatment at 1190 °C due to solute changes caused by the homogenization of Nb, which contributed to extensive grain boundary melting. The HIP treatment at 1120 °C exhibited lower liquation with contributions from particle liquation of the Laves phase and constitutional liquation of NbC carbides. This was also reflected in a lower ductility recovery temperature, with slower recovery for the former due to the extensive liquation. Interestingly, the nil ductility temperatures were both below the predicted equilibrium solidus of the alloy, which suggests that the ductility drop is related to liquation caused by solute segregation at the grain boundaries.
New ways of working and intrapreneurial behaviour: the mediating role of transformational leadership and social interaction
Authors: Gerards Ruud , van Wetten Sanne , van Sambeek Cecile 
Published: September 2020

AbstractTo promote innovativeness and efficiency, an increasing number of firms have adopted New ways of working (NWW). However, it is not clear what effect NWW has on innovation-related outcomes, such as intrapreneurial behaviour. Therefore, we provide a first investigation on the relation between the facets of NWW and intrapreneurial behaviour, while testing transformational leadership and co-worker social interaction as mediators. We use a sample of 254 employees of the Dutch working population and apply the Preacher and Hayes’ (Behav Res Methods 40(3):879–891, 2008) bootstrap method for multiple mediation to test our hypotheses. We find that NWW facets time- and location-independent work and management on output are positively related to intrapreneurial behaviour. In addition, we find that the relation between a freely accessible open workplace and intrapreneurial behaviour is mediated by transformational leadership. However, we find no relationship between co-worker social interaction and intrapreneurial behaviour and thus no mediating role for social interaction. Our research adds to the budding literature on the effects of NWW and to the literature on the determinants of intrapreneurial behaviour. We conclude that implementation of several NWW facets and a transformational leadership style could help foster intrapreneurial behaviour among employees, and that future research that further enhances the measurement of the NWW facets and investigates its configurational effects on intrapreneurial behaviour is welcome.
Reshaping Apple Juice Production Into a Zero Discharge Biorefinery Process
Authors: Vukušić Josipa Lisičar , Millenautzki Thomas , Cieplik Ronny , Obst Veit , Saaid Abdechafik Mokhlis , Clavijo Leonardo , Zlatanovic Slododan , Hof Jendrik , Mösche Marek , Barbe Stéphan 
Published: September 2020

AbstractIn the last decade, the utilization of waste by-product apple pomace has been extensively researched (due to its difficult disposal) and currently finds beneficial usage in various industries; as substrate for microbial growth or recovery of pectin, xyloglucan and polyphenols. In this research apple juice was produced at pilot scale. Furthermore, apple pomace was employed as substrate for the production of pectin, biofuel (pellets) and concentrated apple pomace extract. Extensive mass and heat balances were conducted to evaluate the feasibility of this approach on industrial scale. The produced pellets had very similar characteristics to wood pellets (net calorific value of 20.3 MJ/kg). Dried apple pomace contained 11.9% of pectin. Fed-batch cultivation of baker´s yeast with apple pomace extract demonstrated a potential for partial substitution of molasses in industrial bioprocesses. This concept shows how a zero discharge biorefinery process converts waste from apple juice production into three valuable products enabling connections between different industries.
Graphic Abstract
Introduction to the Special Issue on Intercultural Digital Ethics
Authors: Aggarwal Nikita 
Published: September 2020

AbstractRecent advances in the capability of digital information technologies—particularly due to advances in artificial intelligence (AI)—have invigorated the debate on the ethical issues surrounding their use. However, this debate has often been dominated by ‘Western’ ethical perspectives, values and interests, to the exclusion of broader ethical and socio-cultural perspectives. This imbalance carries the risk that digital technologies produce ethical harms and lack social acceptance, when the ethical norms and values designed into these technologies collide with those of the communities in which they are delivered and deployed. This special issue takes a step towards broadening the approach of digital ethics, by bringing together a range of cultural, social and structural perspectives on the ethical issues relating to digital information technology. Importantly, it refreshes and reignites the field of Intercultural Digital Ethics for the age of AI and ubiquitous computing.
Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans
Authors: Karar Mohamed Esmail , Hemdan Ezz El-Din , Shouman Marwa A. 
Published: September 2020

AbstractComputer-aided diagnosis (CAD) systems are considered a powerful tool for physicians to support identification of the novel Coronavirus Disease 2019 (COVID-19) using medical imaging modalities. Therefore, this article proposes a new framework of cascaded deep learning classifiers to enhance the performance of these CAD systems for highly suspected COVID-19 and pneumonia diseases in X-ray images. Our proposed deep learning framework constitutes two major advancements as follows. First, complicated multi-label classification of X-ray images have been simplified using a series of binary classifiers for each tested case of the health status. That mimics the clinical situation to diagnose potential diseases for a patient. Second, the cascaded architecture of COVID-19 and pneumonia classifiers is flexible to use different fine-tuned deep learning models simultaneously, achieving the best performance of confirming infected cases. This study includes eleven pre-trained convolutional neural network models, such as Visual Geometry Group Network (VGG) and Residual Neural Network (ResNet). They have been successfully tested and evaluated on public X-ray image dataset for normal and three diseased cases. The results of proposed cascaded classifiers showed that VGG16, ResNet50V2, and Dense Neural Network (DenseNet169) models achieved the best detection accuracy of COVID-19, viral (Non-COVID-19) pneumonia, and bacterial pneumonia images, respectively. Furthermore, the performance of our cascaded deep learning classifiers is superior to other multi-label classification methods of COVID-19 and pneumonia diseases in previous studies. Therefore, the proposed deep learning framework presents a good option to be applied in the clinical routine to assist the diagnostic procedures of COVID-19 infection.
Peritonitis in children on peritoneal dialysis
Authors: AlZabli Saeed M. , Alsuhaibani Mohammed A. , BinThunian Meshail A. , Alshahrani Dayel A. , Al anazi Abdulkarim , Varghese Sibi , Rose Vernice , Rahim Khawla A. 
Published: September 2020

Background and Objective:
Peritoneal dialysis (PD) associated peritonitis is the most common cause of morbidity, mortality, and treatment failure in patients undergoing PD. We aimed to identify the incidence, pathogens, antibiotic susceptibility, and the outcome of peritoneal dialysis (PD)-associated peritonitis in children.

Methods:
Data from medical records of children who underwent PD between 2007 and 2018 in King Fahad Medical City were retrospectively collected. All children aged <14 years undergoing chronic PD were included. The demographic characteristics of patients, peritonitis rates, and clinical outcomes were collected.

Results:
In total, 131 children [boys, 68 (51.9%)] underwent automated PD for 305 years. The most common age group was 6–12 years (61 patients, 46.6%). A total of 74.0% of patients were new to dialysis; 25.2% were transferred from hemodialysis. Peritonitis incidence was 0.6 episodes/patient-year. Gram-positive and -negative organisms were identified in 50.1% and 22% episodes, respectively, whereas cultures remained negative in 20.5% episodes. Coagulase-negative Staphylococcus was the most common isolated organism (22.1%), followed by methicillin-sensitive S. aureus (11.1%). Peritonitis was resolved in 153 (73.6%) episodes, whereas 52 (25.0%) episodes required removal through the catheter. The multivariate logistic regression analysis found the exit site infection to be a risk factor for catheter removal. Three (1.4%) episodes caused death due to peritonitis complicated by septic shock.

Conclusions:
Our data showed that the most common organisms causing peritonitis were similar to those reported in the previous international registry. The rate of peritonitis was high, but markedly improved in the past two years.
Estimation of body surface area in neonates, infants, and children using body weight alone
Authors: El Edelbi Ranaa Akkawi , Lindemalm Synnöve , Nydert Per , Eksborg Staffan 
Published: September 2020

Background:
The aim of this study was to use Body Surface Area (BSA) data calculated with the Mosteller equation to test potential new equations that estimate BSA using Body Weight (BW) alone in children aged 0–18 years.
Mosteller's equation, the golden standard at our hospital, was used to calculate the BSA in infants and children aged 0–18 years using BW and height data from 27,440 hospital visits by 20,635 patients over one year.

Methods:
The best fit of three nonlinear regression equations (third-order polynomial, Meeh-type, and modified Boyd self-adjusting-type) to a plot of the calculated Mosteller BSA values versus BW was then investigated. The correlation between the BSA values estimated by these equations and the Mosteller BSA values was established by the Spearman rank correlation test. Bias and precision were evaluated as outlined by Sheiner and Beal. Measured and estimated BSA values were compared using the Eksborg plot.

Results:
The estimated BSA values from all three equations and the BSA values from the Mosteller equation were closely correlated (P < .0001). The third-order polynomial and Meeh-type equations overestimated BSA by 0.13% and 0.40%, respectively, while the Boyd self-adjusted-type equation underestimated BSA by 0.060%. For the entire pediatric population, the best fit was obtained with the Meeh-type equation: 99.2% of the Meeh/Mosteller BSA ratios were within the range of 0.9–1.1 when compared with 98.3% and 97.2% for the polynomial and Boyd-type equations, respectively.

Conclusion:
A single Meeh-type equation can be used to predict the results of Mosteller equation when H is not available with high precision and accuracy in children aged 0–18 years, including term neonates. We now plan to include the results of this study in CPOE systems in Sweden to improve drug dosage in all children.