bluuebunny/crossref_metadata_2025 huggingface dataset:
NEKROSIS LEMAK SUBKUTAN DENGAN KUTIS MARMORATA FISIOLOGIS PADA BAYI BARU LAHIR
Authors: Rayinda Tuntas , Galvani Riska , - Irianiwati , Radiono Sunardi , Wibowo Tunjung , Haksari Ekawati Lutfia , Danarti Retno
Published: July 2019

Nekrosis lemak subkutan pada bayi lelaki baru lahir merupakan panikulitis yang jarang terjadi. Kelainan ini dijumpai pada bayi baru lahir (BBL) cukup bulan atau lebih bulan, ditandai dengan nodus atau plak subkutan di area kulit yang terbatas/terlokalisasi. Kutis marmorata fisiologis ditandai oleh â€œpatchâ€ eritematosa yang tersusun retikuler dan membentuk gambaran seperti marmer. Lesi kulit ini merupakan respons vaskular tubuh bayi terhadap suhu dingin. Kondisi ini hilang timbul sesuai perubahan suhu lingkungan. Pada makalah ini dilaporkan satu kasus nekrosis lemak subkutan pada BBL disertai dengan kutis marmorata fisiologis. Diagnosis ditegakkan berdasarkan pemeriksaan klinis dan histopatologis. Faktor risiko yang ditemukan berupa riwayat asfiksia saat lahir dan riwayat preeklamsi berat pada ibu selama hamil. Tujuan laporan kasus ini adalah untuk meningkatkan kewaspadaan klinisi terhadap kelainan kulit yang mungkin dijumpai pada bayi baru lahir dan diharapkan dapat meningkatkan kemampuan dalam mendiagnosis dan mengelola kasus nekrosis lemak subkutan.Kata kunci: Subcutaneous fat necrosis of the newborn, nekrosis lemak subkutan, kutismarmorata fisiologis
Hybrid MU-MIMO Precoding Based on K-Means User Clustering
Authors: Trifan Razvan-Florentin , Enescu Andrei-Alexandru , Paleologu Constantin
Published: July 2019

Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) systems have been extensively investigated over the last few years from both theoretical and practical perspectives. The low complexity Linear Precoding (LP) schemes for MU-MIMO are already deployed in Long-Term Evolution (LTE) networks; however, they do not work well for users with strongly-correlated channels. Alternatives to those schemes, like Non-Linear Precoding (NLP), and hybrid precoding schemes were proposed in the standardization phase for the Third-Generation Partnership Project (3GPP) 5G New Radio (NR). NLP schemes have better performance, but their complexity is prohibitively high. Hybrid schemes, which combine LP schemes to serve users with separable channels and NLP schemes for users with strongly-correlated channels, can help reduce the computational burden, while limiting the performance degradation. Finding the optimum set of users that can be co-scheduled through LP schemes could require an exhaustive search and, thus, may not be affordable for practical systems. The purpose of this paper is to present a new semi-orthogonal user selection algorithm based on the statistical K-means clustering and to assess its performance in MU-MIMO systems employing hybrid precoding schemes.
A Review on Gas Turbine Gas-Path Diagnostics: State-of-the-Art Methods, Challenges and Opportunities
Authors: Fentaye Amare D. , Baheta Aklilu T. , Gilani Syed I. , Kyprianidis Konstantinos G.
Published: July 2019

Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance (CBM). There exists extensive literature on GT gas-path diagnostics and a variety of methods have been introduced. The fundamental limitations of the conventional methods such as the inability to deal with the nonlinear engine behavior, measurement uncertainty, simultaneous faults, and the limited number of sensors available remain the driving force for exploring more advanced techniques. This review aims to provide a critical survey of the existing literature produced in the area over the past few decades. In the first section, the issue of GT degradation is addressed, aiming to identify the type of physical faults that degrade a gas turbine performance, which gas-path faults contribute more significantly to the overall performance loss, and which specific components often encounter these faults. A brief overview is then given about the inconsistencies in the literature on gas-path diagnostics followed by a discussion of the various challenges against successful gas-path diagnostics and the major desirable characteristics that an advanced fault diagnostic technique should ideally possess. At this point, the available fault diagnostic methods are thoroughly reviewed, and their strengths and weaknesses summarized. Artificial intelligence (AI) based and hybrid diagnostic methods have received a great deal of attention due to their promising potentials to address the above-mentioned limitations along with providing accurate diagnostic results. Moreover, the available validation techniques that system developers used in the past to evaluate the performance of their proposed diagnostic algorithms are discussed. Finally, concluding remarks and recommendations for further investigations are provided.
Genetic Mapping Reveals Large-Effect QTL for Anther Extrusion in CIMMYT Spring Wheat
Authors: Muqaddasi Quddoos H. , Reif Jochen C. , Röder Marion S. , Basnet Bhoja R. , Dreisigacker Susanne
Published: July 2019

Hybrid breeding facilitates the exploitation of heterosis and it can result in significant genetic gains and increased crop yields. Inefficient cross-pollination is a major limiting factor that hampers hybrid wheat seed production. In this study, we examined the genetic basis of anther extrusion (AE), which is an important trait in increasing cross-pollination, and thus improving seed set on the female lines and hybrid wheat seed production. We studied 300 segregating F2 plants and F2:3 families that result from a cross of two elite spring wheat lines. We observed that F2 and F2:3 populations hold significant and continuous genetic variation for AE, which suggests its reliable phenotypic selection. Composite interval mapping detected three quantitative trait loci (QTL) on chromosomes 3A, 5A, and 5D. The QTL on chromosome 5A (i.e., QAe.cimmyt-5A) was of large-effect, being consistently identified across generations, and spanned over 25 cM. Our study shows that (1) AE possesses strong genetic control (heritability), and (2) the QTL QAe.cimmyt-5A that imparted on an average of 20% of phenotypic variation can be used for marker-assisted selection (MAS) in breeding programs. In addition, pyramiding the large-effect QTL for MAS could efficiently complement the phenotypic selection since it is relatively easy and cheap to visually phenotype AE. This study reports the first large-effect QTL for AE in spring wheat, endorsing the use of this analysis in current hybrid wheat breeding and future Mendelization for the detection of underlying gene(s).
An Economic Analysis of the Costs Associated with Pre-Weaning Management Strategies for Dairy Heifers
Authors: Hawkins Anna , Burdine Kenneth , Amaral-Phillips Donna , Costa Joao H.C.
Published: July 2019

Dairy calves are raised in various housing and feeding environments on dairy farms around North America. The objective of this study was to develop a simulation model to calculate the cost of raising replacement dairy heifers using different inputs that reflect different management decisions and evaluate their influence on the total cost. In this simulation, 84 calves were modeled between 0–2 months of age to reflect a 1000 heifer herd. The decisions associated with housing, liquid diet source and allowance, labor utilization, and health were calculated. Costs and biological responses were reflective of published surveys, literature, and market conditions. A 10,000-iteration economic simulation was used for each management scenario using @Risk and PrecisionTree add-ons (Palisade Corporation, Ithaca, NY, USA) to account for variation in pre-weaning mortality rate, weaning age, and disease prevalence. As milk allotment increased, total feed cost increased. Feeding calves a higher allowance of milk resulted in a lower cost per kg of gain. Average feed cost percentage of the total cost was 46% (min, max: 33%, 59%) while labor, and fixed and variable cost represented 33% (20%, 45%), 9% (2%, 12%), and 12% (10%, 14%), respectively. Total pre-weaning costs ranged from $258.56 to $582.98 per calf across all management scenarios and milk allotments.
Variation in Phenolic Compounds Content and Antioxidant Activity of Different Plant Organs from Rumex crispus L. and Rumex obtusifolius L. at Different Growth Stages
Authors: Feduraev Pavel , Chupakhina Galina , Maslennikov Pavel , Tacenko Natalia , Skrypnik Liubov
Published: July 2019

The study investigated the accumulation of phenolic compounds and the antioxidant activity of extracts of various parts of R. crispus and R. obtusifolius, collected at the flowering stage and the fruiting stage. Half of the collected plants were divided into root, stem, leaves, and reproductive organs (inflorescence). The other half was used to study the vertical distribution of biologically active components and antioxidants throughout the plant. The samples were analyzed for total catechins content, total proanthocyanidins content, total phenolic content, and total antioxidant activity (1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2’azinobis(3)ethylbenzthiazoline-6-sulfonic acid (ABTS), and ferric reducing antioxidant power (FRAP) assays). All analyses were performed in four replicates. In general, a similar trend was observed in the distribution of phenolic compounds in the studied species. The maximum content of these secondary metabolites was noted in the reproductive organs, both in the flowering and fruiting period. Stems were characterized by a minimum content of the studied classes of substances. The antioxidant activity of the sorrels studied parts can be arranged in the following order: the generative part (flowers, seeds) > leaves > root > stem (for flowering and fruiting stages). It was found that parts of the root closer to the stem differed in higher activity.
Design and Application Research of All-Dielectric Nanostructure Colorful Display
Authors: Luo Shishang , Yang Junbo , He Xin , Zhang Sen , Chen Ying
Published: July 2019

Structural colors generated by plasmonic resonances in metallic nanostructures have been intensively studied and exciting progress has been made. However, because of the inherent plasmon damping, the saturation of these colors generated by metallic nanostructures could not meet the needs of industrial applications. As a result, researchers increasingly focus on structural colors generated by all-dielectric nanostructures. In this paper, we discuss a type of all-dielectric nanostructure based on a previous design and analyze its optical properties extensively. The display of character T with different color is realized by using this nanostructure. The study helps the understanding of the influence of structural parameters on structural color and provides some guidance for future experiments. This work can impact the development of the structural color devices which can be applied in color printing, color displays, color filters, imaging, and energy harvesting, etc.
Tempcore Process Simulator to Analyze Microstructural Evolution of Quenched and Tempered Rebar
Authors: Park Chun Su , Yi Hyang Jun , Kim Yong-Tae , Han Sang Wook , Lee Taekyung , Moon Young Hoon
Published: July 2019

Tempcore process simulator (TPS) has been developed in this study to analyze the microstructural evolution of quenched and tempered rebar. There has been an increasing need to relate the complex microstructures to the resulting properties of quenched and tempered rebar. However, information on such relationships typically requires precise thermal histories imposed on the workpiece. Therefore, TPS, capable of simulating the Tempcore process, has been developed to produce high-fidelity data. TPS mainly consists of a vacuum induction furnace, pilot rolling mill, box furnace, and cooling unit to simulate shop floor operations. A series of experimental tests were successfully carried out with various parameters, such as reheating temperature, water flow, water pressure, and cooling time. The effects of chemical compositions and cooling time on the microstructural evolution and mechanical properties of quenched and tempered rebar have been analyzed to validate the performance of TPS. The results show that TPS can simulate the Tempcore process with a high degree of fidelity and reliability.
A Study on the Deformation Behavior of a Microstructure Depending on Its Shape and the Cutting Section in the Precision Cutting of a Functional Part
Authors: Song Ki-Hyeong , Choi Young-Jae , Lee Yong-Shin
Published: July 2019

The shape accuracy of microstructures is an important factor that directly affects the quality and performance of products. Nevertheless, it is difficult to find a study for the shape accuracy of microstructures below several microns. This study aimed to reduce the shape error in the precision machining of microstructures with a repeated triangular cross-sectional shape with a width of 5 µm or less. Two important factors in this study were the morphological features of the microstructure to be fabricated and the cross-sectional shape of the chip. The tool path was modified in consideration of these two factors. Before the tool path change, the shape error due to the deformation of the triangular micropattern in a DOC (depth of a cut) of 1 µm was about 0.39 µm. However, after the tool path was modified, the shape error due to deformation did not occur while maintaining the DOC at 1 µm.
Potential Marker Genes for Predicting Adipogenic Differentiation of Mesenchymal Stromal Cells
Authors: Kanawa Masami , Igarashi Akira , Fujimoto Katsumi , Ronald Veronica Sainik , Higashi Yukihito , Kurihara Hidemi , Kato Yukio , Kawamoto Takeshi
Published: July 2019

Mesenchymal stromal cells (MSCs) are a promising source for tissue engineering of soft connective tissues. However, the differentiation capacity of MSCs varies among individual cell lines. Here, we show marker genes to predict the adipogenic potential of MSCs. To clarify the correlation between gene expression patterns before adipogenic induction and the differentiation level of MSCs after differentiation, we compared mRNA levels of 95 genes and glycerol-3-phosphate dehydrogenase (GPDH) activities in 15 MSC lines (five jaw and 10 ilium MSCs) from 15 donors. Expression profiles of 22 genes before differentiation significantly correlated with GPDH activities after differentiation. Expression levels of 11 out of the 22 genes in highly potent ilium MSCs were at least three times higher compared with jaw MSCs, which have limited differentiation potential. Furthermore, three-dimensional scatter plot for mRNA expression of ITGA5, CDKN2D, and CD74 could completely distinguish highly potent MSCs from poorly potent MSCs for adipogenesis. The treatment of MSC cultures with the anti-ITGA5 antibody reduced adipogenic differentiation of MSCs. Collectively, these results suggest that the three genes play a role in adipogenesis before induction and can serve as predictors to select potent MSCs for adipogenic differentiation.
Partners in Mischief: Functional Networks of Heat Shock Proteins of Plasmodium falciparum and Their Influence on Parasite Virulence
Authors: Daniyan Michael O. , Przyborski Jude M. , Shonhai Addmore
Published: July 2019

The survival of the human malaria parasite Plasmodium falciparum under the physiologically distinct environments associated with their development in the cold-blooded invertebrate mosquito vectors and the warm-blooded vertebrate human host requires a genome that caters to adaptability. To this end, a robust stress response system coupled to an efficient protein quality control system are essential features of the parasite. Heat shock proteins constitute the main molecular chaperone system of the cell, accounting for approximately two percent of the malaria genome. Some heat shock proteins of parasites constitute a large part (5%) of the ‘exportome’ (parasite proteins that are exported to the infected host erythrocyte) that modify the host cell, promoting its cyto-adherence. In light of their importance in protein folding and refolding, and thus the survival of the parasite, heat shock proteins of P. falciparum have been a major subject of study. Emerging evidence points to their role not only being cyto-protection of the parasite, as they are also implicated in regulating parasite virulence. In undertaking their roles, heat shock proteins operate in networks that involve not only partners of parasite origin, but also potentially functionally associate with human proteins to facilitate parasite survival and pathogenicity. This review seeks to highlight these interplays and their roles in parasite pathogenicity. We further discuss the prospects of targeting the parasite heat shock protein network towards the developments of alternative antimalarial chemotherapies.
Application of Aluminum Hydroxide for Improvement of Label-Free SERS Detection of Some Cephalosporin Antibiotics in Urine
Authors: Markina Natalia E. , Markin Alexey V.
Published: July 2019

This report is dedicated to development of surface-enhanced Raman spectroscopy (SERS) based analysis protocol for detection of antibiotics in urine. The key step of the protocol is the pretreatment of urine before the detection to minimize background signal. The pretreatment includes extraction of intrinsic urine components using aluminum hydroxide gel (AHG) and further pH adjusting of the purified sample. The protocol was tested by detection of a single antibiotic in artificially spiked samples of real urine. Five antibiotics of cephalosporin class (cefazolin, cefoperazone, cefotaxime, ceftriaxone, and cefuroxime) were used for testing. SERS measurements were performed using a portable Raman spectrometer with 638 nm excitation wavelength and silver nanoparticles as SERS substrate. The calibration curves of four antibiotics (cefuroxime is the exception) cover the concentrations required for detection in patient’s urine during therapy (25/100‒500 μg/mL). Random error of the analysis (RSD < 20%) and limits of quantification (20‒90 μg/mL) for these antibiotics demonstrate the applicability of the protocol for reliable quantitative detection during therapeutic drug monitoring. The detection of cefuroxime using the protocol is not sensitive enough, allowing only for qualitative detection. Additionally, time stability and batch-to-batch reproducibility of AHG were studied and negative influence of the pretreatment protocol and its limitations were estimated and discussed.
Microbial Fuel Cell-Based Biosensors
Authors: Cui Yang , Lai Bin , Tang Xinhua
Published: July 2019

The microbial fuel cell (MFC) is a promising environmental biotechnology that has been proposed mainly for power production and wastewater treatment. Though small power output constrains its application for directly operating most electrical devices, great progress in its chemical, electrochemical, and microbiological aspects has expanded the applications of MFCs into other areas such as the generation of chemicals (e.g., formate or methane), bioremediation of contaminated soils, water desalination, and biosensors. In recent decades, MFC-based biosensors have drawn increasing attention because of their simplicity and sustainability, with applications ranging from the monitoring of water quality (e.g., biochemical oxygen demand (BOD), toxicants) to the detection of air quality (e.g., carbon monoxide, formaldehyde). In this review, we summarize the status quo of MFC-based biosensors, putting emphasis on BOD and toxicity detection. Furthermore, this review covers other applications of MFC-based biosensors, such as DO and microbial activity. Further, challenges and prospects of MFC-based biosensors are briefly discussed.
AP-1 Transcription Factors as Regulators of Immune Responses in Cancer
Authors: Atsaves Vasileios , Leventaki Vasiliki , Rassidakis George Z. , Claret Francois X.
Published: July 2019

Immune check point blockade therapy has revolutionized the standard of cancer treatment and is credited with producing remarkable tumor remissions and increase in overall survival. This unprecedented clinical success however is feasible for a limited number of cancer patients due to resistance occurring before or during a course of immunotherapy, which is often associated with activation of oncogenic signaling pathways, co-inhibitory checkpoints upregulation or expansion of immunosuppressive regulatory T-cells (Tregs) in the tumor microenviroment (TME). Targeted therapy aiming to inactivate a signaling pathway such as the Mitogen Activated Protein Kinases (MAPKs) has recently received a lot of attention due to emerging data from preclinical studies indicating synergy with immune checkpoint blockade therapy. The dimeric transcription factor complex Activator Protein-1 (AP-1) is a group of proteins involved in a wide array of cell processes and a critical regulator of nuclear gene expression during T-cell activation. It is also one of the downstream targets of the MAPK signaling cascade. In this review, we will attempt to unravel the roles of AP-1 in the regulation of anti-tumor immune responses, with a focus on the regulation of immune checkpoints and Tregs, seeking to extract useful insights for more efficacious immunotherapy.
Impact of Q141K on the Transport of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors by ABCG2
Authors: Inoue Yutaka , Morita Takashi , Onozuka Mari , Saito Ken-ichi , Sano Kazumi , Hanada Kazuhiko , Kondo Masami , Nakamura Yoichi , Kishino Tohru , Nakagawa Hiroshi , Ikegami Yoji
Published: July 2019

The ATP-binding cassette transporter ABCG2 is expressed in various organs, such as the small intestine, liver, and kidney, and influences the pharmacokinetics of drugs that are its substrates. ABCG2 is also expressed by cancer cells and mediates resistance to anticancer agents by promoting the efflux of these drugs. In the present study, we investigated the interactions between epidermal growth factor receptor tyrosine kinase inhibitors and ABCG2 by MTT assay, intracellular drug accumulation assay, and FACS. This study showed that four epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs) (gefitinib, erlotinib, lapatinib, and afatinib) were transported from tumor cells as substrates of ABCG2. Q141K is a common single-nucleotide polymorphism of ABCG2 in Asians. We demonstrated that the extracellular efflux of gefitinib, erlotinib, and lapatinib was reduced by Q141K, whereas afatinib transport was not affected. In addition, all four EGFR TKIs inhibited the transport of other substrates by both wild-type and variant ABCG2 at 0.1 μM concentrations. Accordingly, epidermal growth factor receptor tyrosine kinase inhibitors may induce interactions with other drugs that are substrates of ABCG2, and single-nucleotide polymorphisms of ABCG2 may influence both the pharmacokinetics and efficacy of these anticancer agents.
Porosity and Its Significance in Plasma-Sprayed Coatings
Authors: Odhiambo John Gerald , Li WenGe , Zhao YuanTao , Li ChengLong
Published: July 2019

Porosity in plasma-sprayed coatings is vital for most engineering applications. Porosity has its merits and demerits depending on the functionality of the coating and the immediate working environment. Consequently, the formation mechanisms and development of porosity have been extensively explored to find out modes of controlling porosity in plasma-sprayed coatings. In this work, a comprehensive review of porosity on plasma-sprayed coatings is established. The formation and development of porosity on plasma-sprayed coatings are governed by set spraying parameters. Optimized set spraying parameters have been used to achieve the most favorable coatings with minimum defects. Even with the optimized set spraying parameters, defects like porosity still occur. Here, we discuss other ways that can be used to control porosity in plasma-sprayed coating with emphasis to atmospheric plasma-sprayed chromium oxide coatings. Techniques like multilayer coatings, nanostructured coatings, doping with rare earth elements, laser surface re-melting and a combination of the above methods have been suggested in adjusting porosity. The influences of porosity on microstructure, properties of plasma-sprayed coatings and the measurement methods of porosity have also been reviewed.
The Effect of Heat Treatment on Properties of Ni–P Coatings Deposited on a AZ91 Magnesium Alloy
Authors: Buchtík Martin , Krystýnová Michaela , Másilko Jiří , Wasserbauer Jaromír
Published: July 2019

The present study reports the effect of phosphorus content in deposited electroless nickel (Ni–P) coatings, the heat treatment on the microhardness and its microstructural characteristics, and the influence of the temperature on the microstructure of the Mg alloy substrate during the heat treatment. The deposition of Ni–P coatings was carried out in the electroless nickel bath, and the resulting P content ranged from 5.2 to 10.8 wt.%. Prepared samples were heat-treated in the muffle furnace at 400 °C for 1 h after the coating deposition. The cooling of the samples to room temperature was proceeded in the air. For as-deposited and heat-treated samples, it was determined that with the increasing P content, the microhardness was decreasing. This may be caused by the changes in the structure of the Ni–P coating. The X-ray diffraction patterns of the as-deposited Ni–P coatings showed that the microstructure changed their nature from crystalline to amorphous with the increasing P content. The heat treatment of prepared samples led to the significant increase of microhardness of Ni–P coatings. All the heat-treated samples showed the crystalline character, regardless of the P content and the presence of hard Ni3P phase, which can have a positive effect on the increase of microhardness. The metallographic analysis showed changes of substrate microstructure after the heat treatment. The prepared coatings were uniform and with no visible defects.
Visualization and Experiential Learning of Mathematics for Data Analytics
Authors: Venkatraman Sitalakshmi , Overmars Anthony , Wahr Fiona
Published: July 2019

The information and communications technology (ICT) industry workforce is now required to deal with ’Big Data’, and there is a need to fill the computational skill shortage in data analytics. The integrated skills of combining computer and mathematics capabilities is much sought after by every industry embarking on digital transformation. Studies conducted internationally and by the Australian Industry Group show the requirements for improving computational skills in the workplace. This research takes a positive step to address this issue by introducing visualization and experiential learning in the ICT curriculum in order to uplift mathematics skills required for data analytics. We present the use of such innovative methods adopted in a higher education setting. The results and positive impact achieved through this study are presented.
An Introduction to the Study of Gastrotricha, with a Taxonomic Key to Families and Genera of the Group
Authors: Todaro M. Antonio , Sibaja-Cordero Jeffrey Alejandro , Segura-Bermúdez Oscar A. , Coto-Delgado Génesis , Goebel-Otárola Nathalie , Barquero Juan D. , Cullell-Delgado Mariana , Dal Zotto Matteo
Published: July 2019

Gastrotricha is a group of meiofaunal-sized, free-living invertebrates present in all aquatic ecosystems. The phylum includes over 860 species globally, of which 505 nominal species have been recorded in marine sandy sediments; another 355 taxa inhabit the freshwater environments, where they are recurrent members of the periphyton and epibenthos, and, to a lesser degree, of the plankton and interstitial fauna. Gastrotrichs are part of the permanent meiofauna and, in general, they rank among the top five groups for abundance within meiobenthic assemblages. The diversity, abundance, and ubiquity of Gastrotricha allow us to suppose an important role for these animals in aquatic ecosystems; however, ecological studies to prove this idea have been comparatively very few. This is mainly because the small size and transparency of their bodies make gastrotrichs difficult to discover in benthic samples; moreover, their contractility and fragility make their handling and morphological survey of the specimens rather difficult. Here we offer an overview, describe the basic techniques used to study these animals, and provide a key to known genera in an attempt to promote easy identification and to increase the number of researchers who may be interested in conducting studies on this understudied ecological group of microscopic organisms.
Scots Pine Seedlings Growth Dynamics Data Reveals Properties for the Future Proof of Seed Coat Color Grading Conjecture
Authors: Novikov Arthur , Ivetić Vladan , Novikova Tatyana , Petrishchev Evgeniy
Published: July 2019

Seed coat color grading conjecture is also known as Pravdin’s conjecture. To verify the conjecture, we established a long-term field experiment. This data set included unique empirical data of Scots pine (Pinus sylvestris L.) container-grown seedlings produced from different seed color grades, outplanted on a post fire site in the Voronezh region, Russia. Variables were provided for 10 rows of 90 samples in each row. These data contribute to our understanding of seed germination and seedlings growth dynamics from size and color gradings of seeds. This structure is the future basis of the Forest Reproductive Material Library (FRMLib) and will be used for assisted migration and forest seed transfer.
Efficiency Bounds for Minimally Nonlinear Irreversible Heat Engines with Broken Time-Reversal Symmetry
Authors: Liu Qin , Li Wei , Zhang Min , He Jizhou , Wang Jianhui
Published: July 2019

We study the minimally nonlinear irreversible heat engines in which the time-reversal symmetry for the systems may be broken. The expressions for the power and the efficiency are derived, in which the effects of the nonlinear terms due to dissipations are included. We show that, as within the linear responses, the minimally nonlinear irreversible heat engines can enable attainment of Carnot efficiency at positive power. We also find that the Curzon-Ahlborn limit imposed on the efficiency at maximum power can be overcome if the time-reversal symmetry is broken.
Multi-Party Quantum Summation Based on Quantum Teleportation
Authors: Zhang Cai , Razavi Mohsen , Sun Zhiwei , Huang Qiong , Situ Haozhen
Published: July 2019

We present a secure multi-party quantum summation protocol based on quantum teleportation, in which a malicious, but non-collusive, third party (TP) helps compute the summation. In our protocol, TP is in charge of entanglement distribution and Bell states are shared between participants. Users encode the qubits in their hand according to their private bits and perform Bell-state measurements. After obtaining participants’ measurement results, TP can figure out the summation. The participants do not need to send their encoded states to others, and the protocol is therefore congenitally free from Trojan horse attacks. In addition, our protocol can be made secure against loss errors, because the entanglement distribution occurs only once at the beginning of our protocol. We show that our protocol is secure against attacks by the participants as well as the outsiders.
Future Teachers’ Smartphone Uses and Dependence
Authors: Ruiz-Palmero Julio , Sánchez-Rivas Enrique , Gómez-García Melchor , Sánchez Vega Elena
Published: July 2019

Smartphones are indeed becoming an essential tool in the daily lives and relations of their users in recent years, thanks to their uses and potential. However, excessive and inappropriate use can lead to dependence syndromes. The objectives of our study were to ascertain how these devices are being used and whether students are at risk of addiction. The study was carried out based on a survey with students—future teachers—from two Spanish universities. A sample of 453 students between the ages of 18 and 47 was analyzed, 76.8% female and 23.2% male. Smartphones were found to be the preferred Internet connection device for 80% of students, 38% of students connect to the Internet five hours or more a day (which can be considered an addiction) and smartphones are used primarily to connect with others (social media and instant messaging). The abusive use of smartphones affects men’s behavior more than women and can lead them to neglect other activities, while smartphones affect women more in the emotional field, in matters related to boredom, impatience, and irritability.
Short-Term Forecasting of Wake-Induced Fluctuations in Offshore Wind Farms
Authors: Dar Arslan Salim , von Bremen Lüder
Published: July 2019

The increasing share of offshore wind energy traded at the spot market requires short term wind direction forecasts to determine wake losses and increased power fluctuations due to multiple wakes in certain wind directions. The information on potential power fluctuations can be used to issue early warnings to grid operators. The current work focuses on analyzing wind speed and power fluctuation time series for a German offshore wind farm. By associating these fluctuations with wind directions, it is observed that the turbines in double or multiple wake situations yield higher fluctuations in wind speed and power compared to the turbines in free flow. The wind direction forecasts of the European Center for Medium-Range Weather Forecast model are compared with Supervisory Control and Data Acquisition (SCADA) data observations of the turbine yaw. The cumulative probability distribution of the difference in forecasted and observed wind directions shows that for a tolerance of +/−10 ∘ , 71% of the observations are correctly forecasted for a lead time of 1 day, which drops to 54% for a lead time of 3 days. The circular continuous rank probability score of the observed wind directions doubles over the lead time of 72 h.
Close Nozzle Spray Characteristics of a Prefilming Airblast Atomizer
Authors: Holz Simon , Braun Samuel , Chaussonnet Geoffroy , Koch Rainer , Bauer Hans-Jörg
Published: July 2019

The formation of pollutant emissions in jet engines is closely related to the fuel distribution inside the combustor. Hence, the characteristics of the spray formed during primary breakup are of major importance for an accurate prediction of the pollutant emissions. Currently, an Euler–Lagrangian approach for droplet transport in combination with combustion and pollutant formation models is used to predict the pollutant emissions. The missing element for predicting these emissions more accurately is well defined starting conditions for the liquid fuel droplets as they emerge from the fuel nozzle. Recently, it was demonstrated that the primary breakup can be predicted from first principles by the Lagrangian, mesh-free, Smoothed Particle Hydrodynamics (SPH) method. In the present work, 2D Direct Numerical Simulations (DNS) of a planar prefilming airblast atomizer using the SPH method are presented, which capture most of the breakup phenomena known from experiments. Strong links between the ligament breakup and the resulting spray in terms of droplet size, trajectory and velocity are demonstrated. The SPH predictions at elevated pressure conditions resemble quite well the effects observed in experiments. Significant interdependencies between droplet diameter, position and velocity are observed. This encourages to employ such multidimensional interdependence relations as a base for the development of primary atomization models.
Optimizing Quality of Wood Pellets Made of Hardwood Processing Residues
Authors: Thiffault Evelyne , Barrette Julie , Blanchet Pierre , Nguyen Quy Nam , Adjalle Kokou
Published: July 2019

Small-scale wood pellet producers often use a trial-and-error approach for determining adequate blending of available wood processing residues and pelletizing parameters. Developing general guidelines for optimizing wood pellet quality and meeting market standards would facilitate their market entry and profitability. Four types of hardwood residues, including green wood chips, dry shavings, and solid and engineered wood sawdust, were investigated to determine the optimum blends of feedstocks and pelletizing conditions to produce pellets with low friction force, high density and high mechanical strength. The feedstock properties reported in this study included particle size distribution, wood moisture content, bulk density, ash content, calorific values, hemicelluloses, lignin, cellulose, extractives, ash major and minor elements, and carbon, nitrogen, and sulfur. All residues tested could potentially be used for wood pellet production. However, high concentrations of metals, such as aluminum, could restrict their use for accessing markets for high-quality pellets. Feedstock moisture content and composition (controlled by the proportions of the various residue sources within blends) were the most important parameters that determined pellet quality, with pelletizing process parameters having less overall influence. Residue blends with a moisture content of 9%–13.5% (dry basis), composed of 25%–50% of sawdust generated by sawing of wood pieces and a portion of green chips generated by trimming of green wood, when combined with a compressive force of 2000 N or more during pelletizing, provided optimum results in terms of minimizing friction and increasing pellet density and mechanical strength. Developing formal relationships between the type of process that generates residues, the properties of residues hence generated, and the quality of wood pellets can contribute to optimize pellet production methods.
Improving Forensic Triage Efficiency through Cyber Threat Intelligence
Authors: Serketzis Nikolaos , Katos Vasilios , Ilioudis Christos , Baltatzis Dimitrios , Pangalos Georgios
Published: July 2019

The complication of information technology and the proliferation of heterogeneous security devices that produce increased volumes of data coupled with the ever-changing threat landscape challenges have an adverse impact on the efficiency of information security controls and digital forensics, as well as incident response approaches. Cyber Threat Intelligence (CTI)and forensic preparedness are the two parts of the so-called managed security services that defendants can employ to repel, mitigate or investigate security incidents. Despite their success, there is no known effort that has combined these two approaches to enhance Digital Forensic Readiness (DFR) and thus decrease the time and cost of incident response and investigation. This paper builds upon and extends a DFR model that utilises actionable CTI to improve the maturity levels of DFR. The effectiveness and applicability of this model are evaluated through a series of experiments that employ malware-related network data simulating real-world attack scenarios. To this extent, the model manages to identify the root causes of information security incidents with high accuracy (90.73%), precision (96.17%) and recall (93.61%), while managing to decrease significantly the volume of data digital forensic investigators need to examine. The contribution of this paper is twofold. First, it indicates that CTI can be employed by digital forensics processes. Second, it demonstrates and evaluates an efficient mechanism that enhances operational DFR.
Rice Flour and Bran Enriched with Blueberry Polyphenols Increases Storage Stability and Decreases Arsenic Content in Bran
Authors: Boue Stephen M. , Daigle Kim , Beaulieu John C. , Heiman Mark
Published: July 2019

A low-cost method utilizing rice co-products to concentrate and stabilize blueberry polyphenols was developed that decreased the arsenic (As) content in rice bran. After concentration at 10 g/L, brown rice flour displayed a higher total anthocyanin content in both blueberry juice (2.7 mg/g) and pomace extract (2.6 mg/g) when compared to white rice flour. Defatted rice bran enriched with blueberry juice (10 g/L) had the highest concentration of polyphenols (16.0 mg/g), and defatted bran enriched with pomace extract had the highest concentration of anthocyanins (5.32 mg/g). Enriched rice flour and bran contained higher levels of anthocyanins when using pomace extracts. Polyphenols and anthocyanins were found to be highly stable at 37 °C in rice flour and bran samples combined with pomace extract. Polyphenol enrichment also produced lower total and inorganic arsenic (i-As) levels in defatted rice bran. Inorganic arsenic (i-As) concentrations in defatted rice bran enriched with blueberry juice and pomace extracts were reduced by 20.5% and 51.6%, respectively. Overall, rice flour and bran that are enriched with polyphenols and anthocyanins from blueberry pomace extracts are shelf and color stable, had low sugar content, and represent unique health-promoting food ingredients.
Status Epilepticus among Older Adults in the United States
Authors: Mendiratta Priya , Dayama Neeraj , Wei Jeanne Y , Prodhan Pallavi , Prodhan Parthak
Published: July 2019

Objective: This study aimed to identify temporal time trends and risk factors associated with mortality for hospitalized older adults with status epilepticus (SE). Design: A retrospective study was performed. Setting: Hospitalized patients were identified utilizing an administrative database—The Nationwide Inpatient Sample database from 1998 through September 2015. Patients: Patients were older adults 65 years and older with SE. Interventions: No interventions were undertaken. Measurements and Main Results: Demographic, temporal trends, clinical characteristics, and outcome data were abstracted. The results indicated that hospitalized elderly Americans with SE increased over the 11-year study period. Univariate and multivariate analyses were performed to evaluate risk factors associated with mortality in the study cohort. From the weighted sample, 130,109 subjects were included. Overall mortality was 19%. For age subgroups, the mortality was highest for the >85 years age group (24.1%) compared to the 65–75 years (19%) and 75–85 years (23%) age groups. Among investigated etiologies, the three most common causes of SE were acute ischemic stroke (11.2% of total) followed by non-traumatic brain hemorrhage (5.4%) and malignant brain lesions (4.9%). The highest mortality by etiology was noted for acute traumatic brain injury (TBI) (31.5%), non-traumatic brain hemorrhage (31%), and acute ischemic stroke (AIS) (30.1%). Multivariate analysis indicated that non-survivors when compared to survivors were more like to have the following characteristics: older age group, acute TBI, brain neoplasms, non-traumatic brain hemorrhage, AIS and central nervous system (CNS) infections, and utilization of mechanical ventilation. Associated conditions significantly increasing risk of mortality were sodium imbalance, cardiac arrest, anoxic brain injury, pneumonia, and sepsis. Comorbidities associated with increased risk of mortality included valvular heart disease, renal failure, liver disease, and neoplasms. Conclusions: The number of hospitalized elderly Americans with SE increased over the 11-year study period. Overall mortality was 19%, with even higher mortality among various patient subsets. Several demographic and co-morbid factors are associated with increased mortality in this age group.
Impressions on the Evolution of Naturalism: Interiority, Exteriority, and the International/Interdisciplinary Nature of Naturalism
Authors: Dodworth Cameron
Published: July 2019

Naturalism, as a movement and genre, was heavily influenced by the work of Émile Zola, particularly by his essay, Le roman expérimental (1880). However, despite Zola’s strong influence, Naturalism was also significantly influenced by the ideas of others that go beyond and even predate those of Zola. As a result, Naturalism is generally accepted as having originated in France in the late 19th century, and having extended into the early 20th century, however it soon became an international as well as an interdisciplinary movement and genre. More specific examples of this international and interdisciplinary network of Naturalism can be seen in the writing of Zola, Joris-Karl Husymans, and Oscar Wilde, as well as the painting of Cécile Douard, Vincent van Gogh, Gustave Caillebotte, and Claude Monet. Furthermore, these examples reveal that Naturalism evolved into a more interior branch, as well as a more exterior branch, and they also reveal some strong evolutionary links between not only Naturalism and Impressionism, but also between Naturalism and Decadence/Aestheticism. These latter links have seen little discussion in relation to Naturalism, particularly on the basis of the roles that interiority and exteriority play in the international and interdisciplinary expressions of Naturalism.
Addictive Features of Social Media/Messenger Platforms and Freemium Games against the Background of Psychological and Economic Theories
Authors: Montag Christian , Lachmann Bernd , Herrlich Marc , Zweig Katharina
Published: July 2019

Currently about 2.71 billion humans use a smartphone worldwide. Although smartphone technology has brought many advances, a growing number of scientists discuss potential detrimental effects due to excessive smartphone use. Of importance, the likely culprit to understand over-usage is not the smartphone itself, but the excessive use of applications installed on smartphones. As the current business model of many app-developers foresees an exchange of personal data for allowance to use an app, it is not surprising that many design elements can be found in social media apps and Freemium games prolonging app usage. It is the aim of the present work to analyze several prominent smartphone apps to carve out such elements. As a result of the analysis, a total of six different mechanisms are highlighted to illustrate the prevailing business model in smartphone app development. First, these app-elements are described and second linked to classic psychological/economic theories such as the mere-exposure effect, endowment effect, and Zeigarnik effect, but also to psychological mechanisms triggering social comparison. It is concluded that many of the here presented app-elements on smartphones are able to prolong usage time, but it is very hard to understand such an effect on the level of a single element. A systematic analysis would require insights into app data usually only being available for the app-designers, but not for independent scientists. Nevertheless, the present work supports the notion that it is time to critically reflect on the prevailing business model of ‘user data in exchange for app-use allowance’. Instead of using a service in exchange for data, it ultimately might be better to ban or regulate certain design elements in apps to come up with less addictive products. Instead, users could pay a reasonable fee for an app service.
Primary Care Networks and Eritrean Immigrants’ Experiences with Health Care Professionals in Switzerland: A Qualitative Approach
Authors: Wallimann Carla , Balthasar Andreas
Published: July 2019

Growing migration in European countries has simultaneously increased cultural diversity in health care. Migrants’ equal access to health care systems and migrant friendly health care have therefore become relevant topics. Findings gathered in recent years have mainly focussed on the perspective of care providers, whereas this study includes migrant perspectives. It explores the primary care network of Eritrean immigrants in Switzerland as well as their experiences of interacting with health professionals. Semi-structured face-to-face interviews with intercultural interpreters from Eritrea were conducted. On the basis of a thematic analysis, the study identified the important informal and formal contacts in these Eritrean immigrants’ primary care networks and the specific forms of support each actor provides. In this network, encounters with health professionals were predominately expressed positively. The main barriers reported were language difficulties and intercultural understanding. On the basis of the participants’ statements, six key lessons for practice have been derived. These lessons are specifically important for facilitating Eritrean immigrants’ access to the Swiss health care system. Nevertheless, they are also relevant for other groups of migrants in European countries.