bluuebunny/crossref_metadata_2025_split huggingface dataset:
IPNA clinical practice recommendations for the diagnosis and management of children with steroid-sensitive nephrotic syndrome
Authors: Trautmann Agnes , Boyer Olivia , Hodson Elisabeth , Bagga Arvind , Gipson Debbie S. , Samuel Susan , Wetzels Jack , Alhasan Khalid , Banerjee Sushmita , Bhimma Rajendra , Bonilla-Felix Melvin , Cano Francisco , Christian Martin , Hahn Deirdre , Kang Hee Gyung , Nakanishi Koichi , Safouh Hesham , Trachtman Howard , Xu Hong , Cook Wendy , Vivarelli Marina , Haffner Dieter ,   on behalf of the International Pediatric Nephrology Association, Bouts Antonia , Dossier Claire , Emma Francesco , Kemper Markus , Topaloglu Rezan , Waters Aoife , Thorsten Weber Lutz , Zurowska Alexandra , Gibson Keisha L. , Greenbaum Larry , Massengill Susan , Selewski David , Srivastava Tarak , Wang Chia-shi , Wenderfer Scott , Johnstone Lilian , Larkins Nicholas , Wong William , Alba Agnes A. , Ha T. S. , Mokham Masoumeh , Zhong Xuhui , Hamada Riku , Iijima Kazumoto , Ishikura Kenji , Nozu Kandai , Bresolin Nilzete , De Jesus Gonzalez Nilka , Restrepo Jaime , Anochie Ifeoma , McCulloch Mignon 
Published: October 2022

AbstractIdiopathic nephrotic syndrome is the most frequent pediatric glomerular disease, affecting from 1.15 to 16.9 per 100,000 children per year globally. It is characterized by massive proteinuria, hypoalbuminemia, and/or concomitant edema. Approximately 85–90% of patients attain complete remission of proteinuria within 4–6 weeks of treatment with glucocorticoids, and therefore, have steroid-sensitive nephrotic syndrome (SSNS). Among those patients who are steroid sensitive, 70–80% will have at least one relapse during follow-up, and up to 50% of these patients will experience frequent relapses or become dependent on glucocorticoids to maintain remission. The dose and duration of steroid treatment to prolong time between relapses remains a subject of much debate, and patients continue to experience a high prevalence of steroid-related morbidity. Various steroid-sparing immunosuppressive drugs have been used in clinical practice; however, there is marked practice variation in the selection of these drugs and timing of their introduction during the course of the disease. Therefore, international evidence-based clinical practice recommendations (CPRs) are needed to guide clinical practice and reduce practice variation. The International Pediatric Nephrology Association (IPNA) convened a team of experts including pediatric nephrologists, an adult nephrologist, and a patient representative to develop comprehensive CPRs on the diagnosis and management of SSNS in children. After performing a systematic literature review on 12 clinically relevant PICO (Patient or Population covered, Intervention, Comparator, Outcome) questions, recommendations were formulated and formally graded at several virtual consensus meetings. New definitions for treatment outcomes to help guide change of therapy and recommendations for important research questions are given.
Genome sequence of pineapple secovirus B, a second sadwavirus reported infecting Ananas comosus
Authors: Larrea-Sarmiento Adriana , Geering Andrew D.W. , Olmedo-Velarde Alejandro , Wang Xupeng , Borth Wayne , Matsumoto Tracie K , Suzuki Jon Y , Wall Marisa M , Melzer Michael , Moyle Richard , Sharman Murray , Hu John , Thomas John E. 
Published: October 2022

AbstractThe complete genome sequence of pineapple secovirus B (PSV-B), a new virus infecting pineapple (Ananas comosus) on the island of Oahu, Hawaii, was determined by high-throughput sequencing (HTS). The genome comprises two RNAs that are 5,956 and 3,808 nt long, excluding the 3’-end poly-A tails, both coding for a single large polyprotein. The RNA1 polyprotein contains five conserved domains associated with replication, while the RNA2 polyprotein is cleaved into the movement protein and coat protein. PSV-B is representative of a new species in the subgenus Cholivirus (genus Sadwavirus; family Secoviridae), as the level of amino acid sequence identity to recognized members of this subgenus in the Pro-Pol and coat protein regions is below currently valid species demarcation thresholds.
Multiple Mapping Conditioning Mixing Time Scales for Turbulent Premixed Flames
Authors: Iaroslavtceva Nadezhda , Kronenburg Andreas , Stein Oliver T. 
Published: October 2022

AbstractA novel multiple mapping conditioning (MMC) mixing time scale model for turbulent premixed combustion has been developed. It combines time scales for the flamelet and distributed flame regimes with the aid of a blending function. The blending function serves two purposes. Firstly, it helps to identify zones where the premixed flame resides and where the time scale associated with the premixed flame shall be used. Secondly, it uses the Karlovitz number to identify the turbulent premixed combustion regime and to reduce the weighting of the premixed flame time scale if Karlovitz numbers are high and deviations from the flamelet regime are expected. A series of three-dimensional direct numerical simulations (DNS) of statistically one dimensional, freely propagating turbulent methane-air flames provides a wide range of turbulent combustion regimes for the mixing model validation. The new mixing time scale provides correct predictions of the flame speed of freely propagating turbulent flames which could not be matched by most recognized mixing models. The turbulent flame structure predicted by the new model is in good agreement with DNS for all combustion regimes from flamelet to the thickened reaction zone.
Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments
Authors: Kondo Ryoma , Yoshida Takahiro , Hisano Ryohei 
Published: October 2022

AbstractCourt judgments contain valuable information on how statutory laws and past court precedents are interpreted and how the interdependence structure among them evolves in the courtroom. Data-mining the evolving structure of such customs and norms that reflect myriad social values from a large-scale court judgment corpus is an essential task from both the academic and industrial perspectives. In this paper, using data from approximately 110,000 court judgments from Japan spanning the period 1998–2018 from the district to the supreme court level, we propose two tasks that grasp such a structure from court judgments and highlight the strengths and weaknesses of major machine learning models. One is a prediction task based on masked language modeling that connects textual information to legal codes and past court precedents. Another is a dynamic link prediction task where we predict the hidden interdependence structure in the law. We make quantitative and qualitative comparisons among major machine learning models to obtain insights for future developments.
On the Origin of Venn Diagrams
Authors: Moktefi Amirouche , Lemanski Jens 
Published: October 2022

AbstractIn this paper we argue that there were several currents, ideas and problems in 19th-century logic that motivated John Venn to develop his famous logic diagrams. To this end, we first examine the problem of uncertainty or over-specification in syllogistic that became obvious in Euler diagrams. In the 19th century, numerous logicians tried to solve this problem. The most famous was the attempt to introduce dashed circles into Euler diagrams. The solution that John Venn developed for this problem, however, came from a completely different area of logic: instead of orienting to syllogistic like Euler diagrams, Venn applied Boolean algebra to improve visual reasoning. Venn’s contribution to solving the problem of elimination also played an important role. The result of this development is still known today as the ‘Venn Diagram’.
Compartmentalized organ-on-a-chip structure for spatiotemporal control of oxygen microenvironments
Authors: Tornberg Kaisa , Välimäki Hannu , Valaskivi Silmu , Mäki Antti-Juhana , Jokinen Matias , Kreutzer Joose , Kallio Pasi 
Published: October 2022

AbstractHypoxia is a condition where tissue oxygen levels fall below normal levels. In locally induced hypoxia due to blood vessel blockage, oxygen delivery becomes compromised. The site where blood flow is diminished the most forms a zero-oxygen core, and different oxygenation zones form around this core with varying oxygen concentrations. Naturally, these differing oxygen microenvironments drive cells to respond according to their oxygenation status. To study these cellular processes in laboratory settings, the cellular gas microenvironments should be controlled rapidly and precisely. In this study, we propose an organ-on-a-chip device that provides control over the oxygen environments in three separate compartments as well as the possibility of rapidly changing the corresponding oxygen concentrations. The proposed device includes a microfluidic channel structure with three separate arrays of narrow microchannels that guide gas mixtures with desired oxygen concentrations to diffuse through a thin gas-permeable membrane into cell culture areas. The proposed microfluidic channel structure is characterized using a 2D ratiometric oxygen imaging system, and the measurements confirm that the oxygen concentrations at the cell culture surface can be modulated in a few minutes. The structure is capable of creating hypoxic oxygen tension, and distinct oxygen environments can be generated simultaneously in the three compartments. By combining the microfluidic channel structure with an open-well coculture device, multicellular cultures can be established together with compartmentalized oxygen environment modulation. We demonstrate that the proposed compartmentalized organ-on-a-chip structure is suitable for cell culture.
One-Pot Synthesis of Menthol from Citral and Citronellal Over Heterogeneous Catalysts
Authors: Mäki-Arvela Päivi , Simakova Irina , Vajglová Zuzana , Murzin Dmitry Yu. 
Published: October 2022

AbstractOne-pot synthesis of menthol from citronellal or citral was summarized. Both batch and continuous reactors have been recently applied. This reaction is very complex and a bifunctional catalyst exhibiting especially Lewis acid sites for cyclisation of citronellal to isopulegol are needed, while metal particles are required for its hydrogenation to menthols. Typically, too mild acidity of the catalyst and small particles do not catalyze menthol formation. Furthermore, too high acidity causes catalyst deactivation and dehydration of menthol. Very high menthol yields have been obtained in batch reactor over nobel and transition metal supported bifunctional catalysts. Shape selectivity was demonstrated for Ni-supported on Zr-modified beta zeolite, which gave high diastereoselectivity to the desired L-menthol. Recently one-pot synthesis of menthol in a trickle bed reactor has been investigated. Catalyst suffers only minor deactivation in transformation of citronellal to menthol, while more severe catalyst deactivation occurred in transforming citral to menthols. Noteworthy from the industrial point of view is that the product distribution obtained with the same catalyst under kinetic regime or under diffusional limitations differs from each other. The metal location and synthesis method of extrudates can have a major effect on the catalyst performance. Kinetic modelling of the data obtained from the trickle bed reactor considering the effectiveness factor is discussed.
Graphical Abstract
The results from one-pot synthesis of menthol finding applications in pharmaceuticals and fragrances from citral and its hydrogenated product, citronellal over bifunctional catalysts metal–acid are summarized. The relationship between the catalyst properties and the performance is discussed. In the continuous mode catalyst deactivation becomes apparent and in such mode of operation the product distribution might differ from those obtained in a batch reactor.
Status and Performance of the AMoRE-I Experiment on Neutrinoless Double Beta Decay
Authors: Kim H. B. , Ha D. H. , Jeon E. J. , Jeon J. A. , Jo H. S. , Kang C. S. , Kang W. G. , Kim H. S. , Kim S. C. , Kim S. G. , Kim S. K. , Kim S. R. , Kim W. T. , Kim Y. D. , Kim Y. H. , Kwon D. H. , Lee E. S. , Lee H. J. , Lee H. S. , Lee J. S. , Lee M. H. , Lee S. W. , Lee Y. C. , Leonard D. S. , Lim H. S. , Mailyan B. , Nyanda P. B. , Oh Y. M. , Sari M. B. , Seo J. W. , Seo K. M. , Seo S. H. , So J. H. , Woo K. R. , Yoon Y. S. 
Published: October 2022

AbstractAMoRE is an international project to search for the neutrinoless double beta decay of $$^{100}\hbox {Mo}$$

100

Mo

using a detection technology consisting of magnetic microcalorimeters (MMCs) and molybdenum-based scintillating crystals. Data collection has begun for the current AMORE-I phase of the project, an upgrade from the previous pilot phase. AMoRE-I employs thirteen $${}^\mathrm {48depl.}\hbox {Ca}^{100}\hbox {MoO}_4$$

48
depl
.

Ca
100

MoO
4

crystals and five $$\hbox {Li}_2^{100}\hbox {MoO}_4$$

Li
2
100

MoO
4

crystals for a total crystal mass of 6.2 kg. Each detector module contains a scintillating crystal with two MMC channels for heat and light detection. We report the present status of the experiment and the performance of the detector modules.
Low temperature energy storage by bio-originated calcium alginate-octyl laurate microcapsules
Authors: Hajba-Horváth Eszter , Németh Bence , Trif László , May Zoltán , Jakab Miklós , Fodor-Kardos Andrea , Feczkó Tivadar 
Published: October 2022

AbstractOctyl laurate phase change material (PCM) was microencapsulated by calcium alginate for eco-friendly low temperature energy storage. The PCM microcapsules were prepared by repeated interfacial coacervation followed by crosslinking method. In order to enhance the antibacterial properties of the as prepared capsules, the calcium alginate shell was functionalized by Ag nanoparticles. Calcium alginate-octyl laurate microcapsules possessed high latent heat of fusion values (130.8 and 128.6 J g−1 on melting and cooling, respectively) which did not significantly change when Ag nanoparticles were entrapped in the shell (127.5 and 125.2 J g−1 for melting and freezing enthalpy changes). Based on these values 71.0 and 69.0% maximal PCM content in the microcapsules were determined by the differential scanning calorimetry method. Both of the Ag-loaded and unloaded calcium alginate-octyl laurate PCM capsules maintained the high heat storing capacity after 250 warming and cooling cycles, which proved they did not suffer from leakage after the accelerated thermal test.
The nonlocal elasticity theory for geometrically nonlinear vibrations of double-layer nanoplate systems in magnetic field
Authors: Mazur Olga , Awrejcewicz Jan 
Published: October 2022

AbstractThe geometrically nonlinear vibrations of simply supported double-layer graphene sheet systems under in-plane magnetic field are considered in the presented manuscript. The interaction between layers is taken into account due to van der Waals forces. The investigation is based on the nonlocal elasticity theory, Kirchhoff plate theory and von Kármán theory. The effect of the magnetic field is due to the Lorentz force based on Maxwell’s equations. The governing equations are used in mixed form by introducing the stress Airy function. The analytical presentation of the nonlinear frequency ratio for in-phase vibration and anti-phase vibration modes is presented. It is shown that the nonlocal parameter in the compatibility equation can significantly change the vibration characteristics.
A survey: object detection methods from CNN to transformer
Authors: Arkin Ershat , Yadikar Nurbiya , Xu Xuebin , Aysa Alimjan , Ubul Kurban 
Published: October 2022

AbstractObject detection is the most important problem in computer vision tasks. After AlexNet proposed, based on Convolutional Neural Network (CNN) methods have become mainstream in the computer vision field, many researches on neural networks and different transformations of algorithm structures have appeared. In order to achieve fast and accurate detection effects, it is necessary to jump out of the existing CNN framework and has great challenges. Transformer’s relatively mature theoretical support and technological development in the field of Natural Language Processing have brought it into the researcher’s sight, and it has been proved that Transformer’s method can be used for computer vision tasks, and proved that it exceeds the existing CNN method in some tasks. In order to enable more researchers to better understand the development process of object detection methods, existing methods, different frameworks, challenging problems and development trends, paper introduced historical classic methods of object detection used CNN, discusses the highlights, advantages and disadvantages of these algorithms. By consulting a large amount of paper, the paper compared different CNN detection methods and Transformer detection methods. Vertically under fair conditions, 13 different detection methods that have a broad impact on the field and are the most mainstream and promising are selected for comparison. The comparative data gives us confidence in the development of Transformer and the convergence between different methods. It also presents the recent innovative approaches to using Transformer in computer vision tasks. In the end, the challenges, opportunities and future prospects of this field are summarized.
Conducting an adaptive evaluation framework of importance and performance for community-based earthquake disaster management
Authors: Lin Bih-Chuan , Lee Chun-Hung 
Published: October 2022

AbstractThe frequency and intensity of natural disasters have been increasing in recent decades; especially earthquakes are one of the causes of major natural disasters. Improving community adaptive response to disasters based on community capacity has gradually become an effective means of coping with disaster risks, as well as improving residents' well-being and community participation in disaster planning and management. We integrate community resilience and disaster management to establish an evaluation framework for community-based earthquake disaster management (CEDM) based on community perspectives under importance performance analysis method, and identify the factors affecting community adaptive behavior. Features that affect the differentiation of community residents' adaptive behavior in CEDM program are classified into risk perception, learning earthquake knowledge, the ability on earthquake prevention, and creating a platform on CEDM. The results identify that the CEDM has to integrate the higher community education plan, the stronger flexible to disaster preparedness, the higher the residents' awareness of disaster prevention, the stronger the ability to adapt to disasters; the higher the ability of the government and non-profit organizations to cooperate with the community to deal with disasters, and the stronger the community's ability to manage disasters. These findings provide valuable insights into the construction of CEDM systems and related policymaking.
Fines as enforcers’ rewards or as a transfer to society at large? Evidence on deterrence and enforcement implications
Authors: Baumann Florian , Bienenstock Sophie , Friehe Tim , Ropaul Maiva 
Published: October 2022

AbstractWe analyze experimental data to assess whether the deterrent effect of expected fines depends on who receives the fines’ proceeds. We compare behavior in treatments when the revenue is a reward for enforcement agents to the alternative when fines are transferred to society at large. Most important, with a fixed detection probability, potential offenders’ material incentives are held constant across treatments. Our evidence suggests that the deterrent effect of expected fines is greater when enforcement agents obtain the fine revenue. Our results also document that the characteristics of enforcers who are willing to incur private costs to create a positive detection probability seem to depend on whether fines reward enforcers or are transferred to society at large.
The culture of official statistics. Symbolic domination and “bourgeois” assimilation in quantitative measurements of immigrant integration in Germany
Authors: Petzke Martin 
Published: October 2022

AbstractWhile cultural sociology has recently made a comeback in research on social inequality both in the context of poverty studies and studies of immigrant integration, it has rarely investigated how particular constructions of the problem of socioeconomic mobility are themselves culturally situated. The article addresses this neglect by investigating the problematization of disadvantaged lives within the relational framework of Bourdieu’s cultural theory of the state. Here, the state exercises symbolic violence by transforming one arbitrary cultural standpoint in social space into a universal standard, or a taken-for-granted “doxa,” against which other cultural positions can only come off as deficient. The article extends this perspective by addressing the role of official statistics in this process. Taking Germany’s official monitoring of the socioeconomic integration of immigrants as its case and drawing from document analysis, interviews, ethnographic observation, and data from the German General Social Survey, the article shows how such statistical instruments of the welfare state in fact tacitly universalize a model of the good life particular to civil servants, the very constructors of the monitors, as a benchmark for immigrant integration.
Genetic Algorithm Based Model for Optimal Selection of Open Channel Design Parameters
Authors: Salem Aly K. , Imam Yehya E. , Ghanem Ashraf H. , Bazaraa Abdallah S. 
Published: October 2022

AbstractOpen channels are one of the most used water conveyance systems for delivering water for different purposes. Existing models for the design of open channels mainly assume uniform flow, focus on cross-section sizing, and generally decouple cross-section sizing from the selection of channel alignment and profile. In this study, we developed an optimization model for a comprehensive design of transmission channels. The model minimizes the sum of costs for earthwork, lining, water losses, and land acquisition; accounts for non-uniform, mixed-regime flow; and considers multiple geometric and hydraulic constraints. The model was validated using several idealized scenarios. The model potential in minimizing the cost of real open channel projects was demonstrated through application to an existing irrigation water transmission canal in Egypt (the Sheikh Zayed Canal). The results of validation scenarios matched the anticipated outcomes for channel profile and alignment and reproduced analytical solutions given in the literature for channel cross-section design. Application of the model to the Sheikh Zayed Canal gave a more optimal design; the OCCD model produced a design alternative with ~27% less cost than the constructed alternative.