bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a sustainable urban policy: between the Island City and the New Town
Authors: Sutriadi R 
Published: September 2021

Abstract
By the end of 2019, the Government is working to finalize the 2020-2024 National Medium-Term Development Plan (RPJMN), where one of the agendas is a discussion of Indonesia’s urban policies for the next five years. Such urban policies transform the previous themes on liveable cities, green cities, and smart cities into more resilient and sustainable urban policies. Author raises two main issues that need to be highlighted in the next five years, given Indonesia’s position as an archipelagic country along with the regional resilience’s and climate change phenomenon, other thing is the desire to equalize development throughout Indonesia by relocating the country’s capital off Java. The challenge of urban policies in Indonesia for the next five years is in addition to creating a resilient and sustainable city, as well as how to build an island-based city as a manifestation of Indonesia’s geographical conditions which include large and small islands in a more integrated planning and development as well as emphasizing development with relocating the nation’s capital outside Java Island.
Influence of the initial thermal pulse’s temperature on the processes of cloud formation based on the results of mathematical modeling
Authors: Sozaeva L T , Sherieva M A 
Published: September 2021

Abstract
The evolution of a convective cloud at different values of the initial thermal pulse at the earth’s surface is considered. The research is based on a three-dimensional non-stationary cloud model developed in the HMGI. Numerical calculations are carried out for three variants of the initial overheating of l, 2 and 3 °C. Vertical sections were obtained at the 20th, 30th, and 40th minutes of cloud development and the corresponding characteristics (water content, ice content, total water content and ice content). It is shown that an increase in overheating leads to an increase in the intensity of cloud development at the initial stage and the stage of growth. At an overheat of 3 °C, the ice content grows much faster than at lower values, due to the removal of droplets to the higher layers of the atmosphere with a below-freezing temperature, where they freeze faster.
Verification of numerical modeling of atmospheric dynamics using the measurements of radar reflectivity
Authors: Svechnikova E , Ilin N , Mareev E , Hovakimyan S 
Published: September 2021

Abstract
Numerical modeling is one of the main research tools in modern atmospheric physics. The complexity of the verification of modeling is related to the probabilistic nature of the atmospheric processes under study. We define the quality of modeling as the accuracy of describing the general dynamics, and not as the equality of measured and modeled physical quantities at any specific time moment. The paper proposes a verification method based on comparing the measured and modeled spatial distribution of radar reflectivity. The method is applied to compare the quality of modeling with different microphysical schemes for the mountainous region.
Simulation of the electrification process of a cloud due to the interaction of hailstones with cloud crystals
Authors: Kashleva L V , Dougoli V , Mikhailovsky Yu P 
Published: September 2021

Abstract
This paper is based on the simulation of the electrification process of a hail cloud resulting from the interactions (collisions) between hailstones (graupels) with cloud crystals. A thundercloud cell at the maturity stage was simulated. The process of cloud electrification due to the interactions (collisions) of hailstones with cloud crystals is considered. The thermohydrometric structure of the cloud is also taken into account. It is shown that the negative or positive charge acquired by hailstones, is dependent on the effective liquid water content and temperature of the cloud. The cloud charging current was also estimated. It is shown that the thermohydrometric parameters of the cloud determines the resulting polarization of the cloud.
Investigation of the processes of heat and mass transfer during cooling and crystallization of droplet nuclei of hail
Authors: Balkarova S B , Tashilova A A 
Published: September 2021

Abstract
The regularities of crystallization of water droplets in an air stream and the processes of heat and mass transfer have been investigated. Theoretical calculations for determining the time of complete solidification of a drop are presented. Calculation formulas are given for determining the Reynolds number and wind coefficient, as well as comparative curves of theoretical and experimental studies of the average time of complete freezing of drops. It is shown that the theoretical calculations are in agreement with the experimental data. It was found that with intense blowing, the droplet crystallizes in a regime in which its surface is maintained at a constant temperature. An ice crust forms in the form of a dendrite when supercooled droplets crystallize. On the basis of numerous experiments, it has been established that the character of droplet crystallization substantially depends on the external conditions under which the crystallization process takes place.
Observation of precursors of large seismic events according to monitoring of the electric field of the surface layer of the atmosphere
Authors: Grunskaya L , Zolotov A , Nazarov S , Lavrova M 
Published: September 2021

Abstract
The work is based on 40 years of research by the authors of the project of electromagnetic fields of the infra-low-frequency range (ILF) and meteorological data at the physical experimental range of VlSU. The creation of a system for monitoring the electric and geomagnetic fields of the surface layer of the atmosphere in a network of stations spaced apart in space with a reliable assessment of the impact of global geophysical processes opens on this basis the possibility of predicting natural and man-made processes, analyzing seismic activity and the relationship of atmospheric electricity with the dynamics of meteorological processes. Long-term observations of electric and geomagnetic fields in the HF range have convinced the authors of the unique properties of EMPZ, bearing signs of many geophysical processes, including the processes of preparation of large seismic events. The catalogs of detected types of precursor anomalies in the electric field of the surface layer of the atmosphere are presented. Observed mainly anomaly types: seismogravitational oscillations; a sharp decrease in the field level up to a change in its sign; an increase in the level of the electric field. These anomalies (precursors) are observed both a few hours before the onset of an earthquake and a day, and seismic gravity fluctuations persist even after the moment of the earthquake. The developed catalogs of the precursors of strong earthquakes make it possible to analyze the pattern of changes in the character of the electric field in the surface layer of the atmosphere during the periods of preparation of seismic events.
Scattering of fogs and clouds of the lower tier
Authors: Kalov Kh M , Kh Kalov R 
Published: September 2021

Abstract
The paper presents the results of numerical modeling of active effects on warm fogs and clouds of the lower tier, as well as the results of field experiments on the creation of illumination zones in these fogs and clouds (increasing the meteorological visibility range (MVR)). A cylindrical volume filled with a combustible composition of high calorific value with a highly dispersed powder of calcium carbide was used as a heat source (exposure model). When the heat source is triggered, 104 kcal kg-1 of the fuel composition is released. Numerical modeling has shown that after 5–6 seconds after the thermal source is triggered, the MVR increases to 2 km (from the initial 50 m). Field experiments have shown an increase in the MVR by 5–50 or more times at different values of the meteorological parameters of fogs and clouds of the lower tier.
Development of an indicator of the effectiveness of cloud scattering in ensuring favorable weather conditions for conducting socially significant events involving aviation
Authors: Borisov A A , Makov A B , Shchukin G G 
Published: September 2021

Abstract
A new approach to evaluating the effectiveness of active impacts on layered cloud cover using aircraft is proposed. As an indicator of efficiency, it is proposed to use the probability of achieving the goal of active impacts on the clouds. The use of the proposed indicator will make it possible to predict the effectiveness of impacts up to the moment of their implementation.
Long-term dynamics of the climatic factors of the natural hazards formation in the Northern Caucasus
Authors: Korchagina E A 
Published: September 2021

Abstract
Within the framework of the study on the North Caucasus territory exposure to hazardous natural processes, attention is paid to the climatic factor of their formation. This paper presents the results on the study of the main climatic characteristics dynamics in the mountainous regions of the North Caucasus in different phases of river runoff formation. The dynamics of the surface air temperature and precipitation from the middle of the last century to the present has been studied. The possible influence of reliable changes in monthly, seasonal and annual climate characteristics on changes in the frequency of floods and mudflows in the region is analyzed. The largest number of statistically significant positive trends of air temperature and precipitation in the region was found during the season of mudflow and flood activity.
Stokes–Mueller formalism of spectrally-resolved transmitted light in an artificial opal
Authors: Sahani Pratyasha , Vijaya R 
Published: September 2021

Abstract
The response of an artificial opal to different polarization states of incident light is quantitatively analyzed by performing Mueller matrix (MM) polarimetry measurements in the transmission geometry. In addition, the wavelength-resolved polarization effects of the transmitted light from the opal are quantitatively investigated especially for the wavelengths lying inside the stop band, at the band edge, outside the stop band and far-outside the stop band. It is observed that the degree of polarization (DOP) of the transmitted light effectively decreases from unity and the polarized component in the transmitted light evolves from linear to slightly elliptical polarization when the wavelength of the linearly polarized incident light goes from inside to outside the stop band. On the other hand, only a small variation in the DOP is observed for circularly polarized incident light with the polarized component in the transmitted light nearly preserving its right-handed circular character. For comparison, the measurement is also done on a solution sample containing monodispersed colloids of the same size. The optical performance of the opal is characterized by calculating the linear, 45° linear, and circular diattenuation parameters from the measured MM elements. For the sake of completeness, the diattenuation parameters of the opal are calculated from the corresponding MM elements for oblique angles of incidence when the incident wavelength falls within the stop band. The same parameters are also quantified from the polarization- and angle-resolved transmission spectral measurements using a spectrophotometer and the one-to-one comparison between the parameters reveals an excellent agreement between the two measurements.
MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis
Authors: Lin Yu-Da , Lee Yi-Chen , Chiang Chih-Po , Moi Sin-Hua , Kan Jung-Yu 
Published: September 2021

Abstract
Identifying and characterizing the interaction between risk factors for multiple outcomes (multi-outcome interaction) has been one of the greatest challenges faced by complex multifactorial diseases. However, the existing approaches have several limitations in identifying the multi-outcome interaction. To address this issue, we proposed a multi-outcome interaction identification approach called MOAI. MOAI was motivated by the limitations of estimating the interaction simultaneously occurring in multi-outcomes and by the success of Pareto set filter operator for identifying multi-outcome interaction. MOAI permits the identification for the interaction of multiple outcomes and is applicable in population-based study designs. Our experimental results exhibited that the existing approaches are not effectively used to identify the multi-outcome interaction, whereas MOAI obviously exhibited superior performance in identifying multi-outcome interaction. We applied MOAI to identify the interaction between risk factors for colorectal cancer (CRC) in both metastases and mortality prognostic outcomes. An interaction between vaspin and carcinoembryonic antigen (CEA) was found, and the interaction indicated that patients with CRC characterized by higher vaspin (≥30%) and CEA (≥5) levels could simultaneously increase both metastases and mortality risk. The immunostaining evidence revealed that determined multi-outcome interaction could effectively identify the difference between non-metastases/survived and metastases/deceased patients, which offers multi-prognostic outcome risk estimation for CRC. To our knowledge, this is the first report of a multi-outcome interaction associated with a complex multifactorial disease. MOAI is freely available at https://sites.google.com/view/moaitool/home.
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA–disease association prediction
Authors: Xuan Ping , Wang Dong , Cui Hui , Zhang Tiangang , Nakaguchi Toshiya 
Published: September 2021

Abstract
Identifying disease-related microRNAs (miRNAs) assists the understanding of disease pathogenesis. Existing research methods integrate multiple kinds of data related to miRNAs and diseases to infer candidate disease-related miRNAs. The attributes of miRNA nodes including their family and cluster belonging information, however, have not been deeply integrated. Besides, the learning of neighbor topology representation of a pair of miRNA and disease is a challenging issue. We present a disease-related miRNA prediction method by encoding and integrating multiple representations of miRNA and disease nodes learnt from the generative and adversarial perspective. We firstly construct a bilayer heterogeneous network of miRNA and disease nodes, and it contains multiple types of connections among these nodes, which reflect neighbor topology of miRNA–disease pairs, and the attributes of miRNA nodes, especially miRNA-related families and clusters. To learn enhanced pairwise neighbor topology, we propose a generative and adversarial model with a convolutional autoencoder-based generator to encode the low-dimensional topological representation of the miRNA–disease pair and multi-layer convolutional neural network-based discriminator to discriminate between the true and false neighbor topology embeddings. Besides, we design a novel feature category-level attention mechanism to learn the various importance of different features for final adaptive fusion and prediction. Comparison results with five miRNA–disease association methods demonstrated the superior performance of our model and technical contributions in terms of area under the receiver operating characteristic curve and area under the precision-recall curve. The results of recall rates confirmed that our model can find more actual miRNA–disease associations among top-ranked candidates. Case studies on three cancers further proved the ability to detect potential candidate miRNAs.
The systems biology simulation core library
Authors: Panchiwala Hemil , Shah Shalin , Planatscher Hannes , Zakharchuk Mykola , König Matthias , Dräger Andreas 
Published: September 2021

Abstract

Summary
Studying biological systems generally relies on computational modeling and simulation, e.g., model-driven discovery and hypothesis testing. Progress in standardization efforts led to the development of interrelated file formats to exchange and reuse models in systems biology, such as SBML, the Simulation Experiment Description Markup Language (SED-ML) or the Open Modeling EXchange format. Conducting simulation experiments based on these formats requires efficient and reusable implementations to make them accessible to the broader scientific community and to ensure the reproducibility of the results. The Systems Biology Simulation Core Library (SBSCL) provides interpreters and solvers for these standards as a versatile open-source API in JavaTM. The library simulates even complex bio-models and supports deterministic Ordinary Differential Equations; Stochastic Differential Equations; constraint-based analyses; recent SBML and SED-ML versions; exchange of results, and visualization of in silico experiments; open modeling exchange formats (COMBINE archives); hierarchically structured models; and compatibility with standard testing systems, including the Systems Biology Test Suite and published models from the BioModels and BiGG databases.

Availability and implementation
SBSCL is freely available at https://draeger-lab.github.io/SBSCL/ and via Maven Central.

Supplementary information
Supplementary data are available at Bioinformatics online.
Information-Theoretic Channel for Multi-exposure Image Fusion
Authors: Hao Qiaohong , Zhao Qi , Sbert Mateu , Feng Qinghe , Ancuti Cosmin , Feixas Miquel , Vila Marius , Zhang Jiawan 
Published: September 2021

Abstract
Multi-exposure image fusion has emerged as an increasingly important and interesting research topic in information fusion. It aims at producing an image with high quality by fusing a set of differently exposed images. In this article, we present a pixel-level method for multi-exposure image fusion based on an information-theoretic approach. In our scheme, an information channel between two source images is used to compute the Rényi entropy associated with each pixel in one image with respect to the other image and hence to produce the weight maps for the source images. Since direct weight-averaging of the source images introduce unpleasing artifacts, we employ Laplacian multi-scale fusion. Based on this pyramid scheme, images at every scale are fused by weight maps, and a final fused image is inversely reconstructed. Multi-exposure image fusion with the proposed method is easy to construct and implement and can deliver, in less than a second for a set of three input images of size 512$\times $340, competitive and compelling results versus state-of-art methods through visual comparison and objective evaluation.
Three-dimensional Movement and Distribution of Cryptolestes ferrugineus (Coleoptera: Laemophloeidae) Adults in Stored Wheat Under Constant Temperatures and Moisture Contents
Authors: Bharathi Vimala S K , Jian Fuji , Jayas Digvir S , Morrison Jason 
Published: September 2021

Abstract
Understanding the movement and distribution of insects inside a grain bin is crucial to develop an effective stored grain management protocol. The three-dimensional movement and distribution of adult Cryptolestes ferrugineus (Stephens) at 20 and 30°C were determined in a 0.7 × 0.7 × 0.7 m3 (internal dimensions) wooden box filled with wheat of uniform moisture contents (12.5 ± 0.1%, 14.5 ± 0.1%, and 16.5 ± 0.1% wet basis). The wheat at a constant moisture content was filled into 343 mesh cubes (0.1 × 0.1 × 0.1 m3) and placed inside the wooden box. The center mesh cube in the box had one hundred adult insects introduced at the beginning of the movement. After 24 h, the 343 mesh cubes were removed from the wooden box in less than 45 min. Finally, the contents of each mesh cube were sieved, and the insects counted. Each experiment was replicated three times. A maximum of 17% of insects stayed at the introduced cube (center of the wooden box). About 50–88% of the introduced adults moved downward from the introduction location at the studied temperatures and moisture contents. This 24 h study showed that C. ferrugineus movements in three dimensions follow a diffusion pattern in the horizontal direction and move downward due to the ‘drift’ effect and geotaxis in the vertical direction.
Interactions Betweensyn- andanti-2,3-Hexanediol Lures on Trap Catches of Woodboring Beetles and Associates in Southeastern United States
Authors: Miller D R , Crowe C M , Mayo P D , Silk P J , Sweeney J D 
Published: September 2021

AbstractIn 2016, we conducted three experiments to clarify the effects of 2,3-hexanediols isomers on trap catches of Neoclytus acuminatus (F.) (Coleoptera: Cerambycidae). We also noted the effects of the isomers on trap catches of other cerambycids and associated species of predators and competitors. Catches of N. acuminatus in traps baited with ethanol + syn-2,3-hexanediol + racemic 3-hydroxyoctan-2-one were reduced with the addition of anti-2,3-hexanediol, an attractant for Curius dentatus Newman (Coleoptera: Cerambycidae). A fourth experiment conducted in 2017 verified that racemic 3-hydroxyoctan-2-one increases catches of N. acuminatus in traps baited with ethanol + syn-2,3-hexanediol. The addition of anti-2,3-hexanediol increased catches of Knulliana cincta (Drury) (Coleoptera: Cerambycidae) in traps baited with ethanol + racemic 3-hydroxyoctan-2-one, whereas attraction of Neoclytus scutellaris (Olivier) to traps baited with ethanol + racemic 3-hydroxyhexan-2-one was reduced by syn-2,3-hexanediol. Trap catches of the beetle predators Chariessa pilosa (Forster), Enoclerus ichneumonus (F.), and Madoniella dislocata (Say) (Coleoptera: Cleridae) were affected by 2,3-hexanediol isomers, whereas other common predators were unaffected by the isomers. Attraction of the bostrichid Xylobiops basilaris (Say) (Coleoptera: Bostrichidae) was increased by the 2,3-hexanediols; the relative effect of the two isomeric blends was dependent on trap co-baits of 3-hydroxy-2-ketones. The two enantiomeric blends of 2,3-hexanediol had minimal effects on catches of most species of ambrosia beetles, whereas the 3-hydroxy-2-ketones affected trap catches of some species.
Impact of concomitant replacement of the ascending aorta in patients undergoing aortic valve replacement on operative morbidity and mortality
Authors: Winkler Andreas , Puiu Paul , Krombholz-Reindl Philipp , Vötsch Andreas , Steindl Johannes , Neuner Matthias , Kirnbauer Michael , Seitelberger Rainald , Gottardi Roman 
Published: September 2021

Abstract

OBJECTIVES
The aim of this study was to evaluate the impact of concomitant ascending aortic replacement on operative morbidity and mortality in patients undergoing aortic valve replacement (AVR).

METHODS
We retrospectively analysed our institutional database for all patients undergoing elective isolated AVR and AVR with concomitant replacement of the ascending aorta between January 2009 and May 2020. Patients undergoing surgery for infective endocarditis or requiring hypothermic circulatory arrest were excluded. A 3:1 propensity matching was performed for 688 patients to compare isolated AVR (120 patients) with AVR + ascending aortic replacement (40 patients).

RESULTS
There were significant differences in median cardiopulmonary bypass (CPB) time [92.5 (75–114) vs 118.5 (104–131) min; P &lt; 0.001], median aortic cross-clamp time [65.0 (51.5–78.5) vs 84.5 (77–94) min; P &lt; 0.001] and median intensive care unit stay [1 (1–3) vs 2 (1–6) days; P &lt; 0.01]. There was no significant difference in the use of intraoperative and postoperative blood products, re-exploration for bleeding, postoperative atrial fibrillation, acute renal failure, incidence of stroke, perioperative myocardial infarction and 30-day mortality.

CONCLUSIONS
Concomitant replacement of the ascending aorta significantly prolongs CPB and aortic clamp times but does not increase operative morbidity and mortality. Therefore, replacement of a dilated ascending aorta appears to be the most durable and safest treatment option in patients undergoing AVR with an aneurysmatic ascending aorta.