bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditioned medium produced by fibroblasts cultured in low oxygen pressure allows the formation of highly structured capillary-like networks in fibrin gels
Authors: Caneparo Christophe , Baratange Clément , Chabaud Stéphane , Bolduc Stéphane 
Published: June 2020

AbstractTissue engineering is an emerging and promising concept to replace or cure failing organs, but its clinical translation currently encounters issues due to the inability to quickly produce inexpensive thick tissues, which are necessary for many applications. To circumvent this problem, we postulate that cells secrete the optimal cocktail required to promote angiogenesis when they are placed in physiological conditions where their oxygen supply is reduced. Thus, dermal fibroblasts were cultivated under hypoxia (2% O2) to condition their cell culture medium. The potential of this conditioned medium was tested for human umbilical vein endothelial cell proliferation and for their ability to form capillary-like networks into fibrin gels. The medium conditioned by dermal fibroblasts under hypoxic conditions (DF-Hx) induced a more significant proliferation of endothelial cells compared to medium conditioned by dermal fibroblasts under normoxic conditions (DF-Nx). In essence, doubling time for endothelial cells in DF-Hx was reduced by 10.4% compared to DF-Nx after 1 week of conditioning, and by 20.3% after 2 weeks. The DF-Hx allowed the formation of more extended and more structured capillary-like networks than DF-Nx or commercially available medium, paving the way to further refinements.
Weakly-supervised learning for lung carcinoma classification using deep learning
Authors: Kanavati Fahdi , Toyokawa Gouji , Momosaki Seiya , Rambeau Michael , Kozuma Yuka , Shoji Fumihiro , Yamazaki Koji , Takeo Sadanori , Iizuka Osamu , Tsuneki Masayuki 
Published: June 2020

AbstractLung cancer is one of the major causes of cancer-related deaths in many countries around the world, and its histopathological diagnosis is crucial for deciding on optimum treatment strategies. Recently, Artificial Intelligence (AI) deep learning models have been widely shown to be useful in various medical fields, particularly image and pathological diagnoses; however, AI models for the pathological diagnosis of pulmonary lesions that have been validated on large-scale test sets are yet to be seen. We trained a Convolution Neural Network (CNN) based on the EfficientNet-B3 architecture, using transfer learning and weakly-supervised learning, to predict carcinoma in Whole Slide Images (WSIs) using a training dataset of 3,554 WSIs. We obtained highly promising results for differentiating between lung carcinoma and non-neoplastic with high Receiver Operator Curve (ROC) area under the curves (AUCs) on four independent test sets (ROC AUCs of 0.975, 0.974, 0.988, and 0.981, respectively). Development and validation of algorithms such as ours are important initial steps in the development of software suites that could be adopted in routine pathological practices and potentially help reduce the burden on pathologists.
A Nature-Inspired Search Space Reduction Technique for Spine Identification on Ultrasound Samples of Spina Bifida Cases
Authors: Cengizler Çağlar , Ün M. Kerem , Büyükkurt Selim 
Published: June 2020

AbstractSpina bifida is a birth defect caused by incomplete closing around the spinal cord. Spina bifida is diagnosed in a number of different ways. One approach involves searching for a deformity in the spinal axis via ultrasound. Although easy to apply, this approach requires a highly trained clinician to locate the abnormality due to the noise and distortion present in prenatal ultrasound images. Accordingly, visual examination of ultrasound images may be error prone and subjective. A computerized support system that would automatically detect the location of the spinal deformity may be helpful to the clinician in the diagnostic process. Such a software system first and foremost would require an algorithm for the identification of the entire (healthy or unhealthy) spine in the ultrasound image. This paper introduces a novel flocking dynamics based approach for reducing the size of the search space in the spine identification problem. Proposed approach accepts bone-like blobs on the ultrasound images as bird flocks and combine them into bone groups by calculating the migration path of each flock. Presented results reveal that the method is able to locate correct bones to be grouped together and reduce search space (i.e. number of bones) up to 68%.
Extended experimental inferential structure determination method in determining the structural ensembles of disordered protein states
Authors: Lincoff James , Haghighatlari Mojtaba , Krzeminski Mickael , Teixeira João M. C. , Gomes Gregory-Neal W. , Gradinaru Claudiu C. , Forman-Kay Julie D. , Head-Gordon Teresa 
Published: June 2020

AbstractProteins with intrinsic or unfolded state disorder comprise a new frontier in structural biology, requiring the characterization of diverse and dynamic structural ensembles. Here we introduce a comprehensive Bayesian framework, the Extended Experimental Inferential Structure Determination (X-EISD) method, which calculates the maximum log-likelihood of a disordered protein ensemble. X-EISD accounts for the uncertainties of a range of experimental data and back-calculation models from structures, including NMR chemical shifts, J-couplings, Nuclear Overhauser Effects (NOEs), paramagnetic relaxation enhancements (PREs), residual dipolar couplings (RDCs), hydrodynamic radii (Rh), single molecule fluorescence Förster resonance energy transfer (smFRET) and small angle X-ray scattering (SAXS). We apply X-EISD to the joint optimization against experimental data for the unfolded drkN SH3 domain and find that combining a local data type, such as chemical shifts or J-couplings, paired with long-ranged restraints such as NOEs, PREs or smFRET, yields structural ensembles in good agreement with all other data types if combined with representative IDP conformers.
Prediction of optoelectronic properties of Cu2O using neural network potential
Authors: Selvaratnam Balaranjan , Koodali Ranjit T. , Miró Pere 
Published: June 2020

Neural network potentials (NNPs) can be used to predict energy and forces at a fraction of the computational cost compared to density functional theory (DFT). In this work, we extend this approach to predict optoelectronic properties.
Production value of agricultural land – a factor determining the consolidation of land – case study
Authors: Stręk Żanna , Noga Karol 
Published: June 2020

Land as a means of labour and agricultural production is a very important or even the most important good of a farmer. For centuries spatial structure of Polish rural areas was determined by historical and legal, social and economic, political, economic, technical and demographic conditions. A characteristic feature of land is the fact that it is a part of nature used for plant production but at the same time it is not a product of human labour so it cannot be replaced by a different means of production or its area cannot be increased. Soil quality is one of the most important factors determining potential high income from agricultural activity. Agricultural land quality is expressed as soil class and its suitability for cultivating specific plants or groups of plants – as soil and agricultural complexes. Throughout Poland uniform classification of soil was applied taking into account soil morphology and its physical properties. The study contains elaborate descriptive and cartographic material such as classification maps in the scale equivalent to cadastral maps. In studies concerning spatial and economic phenomena occurring in rural land, respective villages are grouped into larger typological units with respect to similarity of their features. The classification was used in developing a method for the appraisal of land for land consolidation and exchange works. The classification according to land uses can be applied in economic practice better by being expressed as a single number in the form of a productivity ratio rather than a soil quality index. This is the premise underlying the purpose of this paper – calculating the ratio of productivity for cropland and grassland for the needs of identifying villages similar in that respect.
The studies were carried out in 116 villages in the county of Łęczna in Lublin voivodeship. Data relating to surface of respective classes of soil was retrieved from the land and buildings register and the calculation of the ratio was based on scores assigned on a 100-point scale.
Vorstellung einer europaweiten prospektiven Studie zur Wertigkeit einer Drainage bei Parotidektomie
Authors: Grosheva Maria , Klußmann Jens Peter , Beutner Dirk , Formanek Michael , Lill Claudia , Laskawi Rainer , Zenk Johannes , Pick Carina , Erlacher Birgit , Bemmer Julian , Thielker Jovanna , Jering Monika , Tostmann Ralf , Guntinas-Lichius Orlando 
Published: June 2020

ZusammenfassungEinleitung Zur Wertigkeit einer Wunddrainage bei einer Parotidektomie existieren keine validen klinischen Studien. Das Ziel der aktuellen Studie ist es zu untersuchen, ob durch die Einlage bzw. den Verzicht auf eine geschlossene Wunddrainage (sog. Redon) bei einer lateralen und partiellen Parotidektomie die Häufigkeit der postoperativen Komplikationen, wie Nachblutung, Wundheilungsstörung und Wundinfektion sowie Speichelzyste und -fistel beeinflusst wird.Methoden Es wurde eine europaweite multizentrische, prospektive, randomisierte Studie geplant. Durch das Hauptprüfzentrum (HNO-Uniklinik Köln), in Kooperation mit den HNO-Universitätskliniken Jena und Göttingen, wurde das Studienprotokoll erstellt. Die Fallzahlberechnung wurde mit G*Power durchgeführt. Die Studie umfasst Probanden mit einer Indikation zu Parotidektomie bei einem gutartigen Tumor ohne bekannte Gerinnungsstörung oder weitergeführte Antikoagulation. Die präoperative Randomisierung und das Data Management erfolgen softwaregestützt (REDCap 9.1.24, Vanderbilt University).Ergebnisse Die Studie wurde 10/2019 durch die federführende Ethikkommission zustimmend bewertet und ist seit April 2019 offen. Zum aktuellen Zeitpunkt nehmen 9 HNO-Kliniken, davon 6 in Deutschland und 3 in Österreich, an der Studie teil. Hierbei werden in 7 Zentren aktiv Probanden eingeschlossen. Bei einer kalkulierten Follow-to-treat-Gruppengröße von 800 Probanden beträgt die geplante Laufzeit der Studie 4 Jahre.Schlussfolgerungen Die Redon-Studie ist die weltweit erste prospektive randomisierte Studie, die die Wertigkeit einer Drainageeinlage bei einer Parotidektomie untersucht. Um das Rekrutierungsziel in geplanter Zeit erreichen zu können, ist die Teilnahme weiterer spezialisierter Kliniken dringend notwendig. Wir möchten zudem alle HNO-Ärzte ermutigen, ihre Patienten auf die Redon-Studie aufmerksam zu machen, sie über die Möglichkeit zur Studienteilnahme aufzuklären und in eine der teilnehmenden Kliniken zu überweisen.
A Survey of Labor and Delivery Practices in New York City during the COVID-19 Pandemic
Authors: Peña Juan A. , Bianco Angela T. , Simpson Lynn L. , Bernstein Peter S. , Roman Ashley S. , Goffman Dena , Schweizer William E. , Overbey Jessica , Stone Joanne L. 
Published: June 2020

Recently, a novel coronavirus, precisely severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), that causes the disease novel coronavirus disease 2019 (COVID-19) has been declared a worldwide pandemic. Over a million cases have been confirmed in the United States. As of May 5, 2020, New York State has had over 300,000 cases and 24,000 deaths with more than half of the cases and deaths occurring in New York City (NYC). Little is known, however, of how this virus impacts pregnancy. Given this lack of data and the risk for severe disease in this relatively immunocompromised population, further understanding of the obstetrical management of COVID-19, as well as hospital level preparation for its control, is crucial. Guidance has come from expert opinion, professional societies and public health agencies, but to date, there is no report on how obstetrical practices have adapted these recommendations to their local situations. We therefore developed an internet-based survey to elucidate the practices put into place to guide the care of obstetrical patients during the COVID-19 pandemic. We surveyed obstetrical leaders in four academic medical centers in NYC who were implementing and testing protocols at the height of the pandemic. We found that all sites made changes to their practices, and that there appeared to be agreement with screening and testing for COVID-19, as well as labor and delivery protocols, for SARS-CoV-2-positive patients. We found less consensus with respect to inpatient antepartum fetal surveillance. We hope that this experience is useful to other centers as they formulate their plans to face this pandemic.
Key Points
Massive formation of early diagenetic dolomite in the Ediacaran ocean: Constraints on the “dolomite problem”
Authors: Chang Biao , Li Chao , Liu Deng , Foster Ian , Tripati Aradhna , Lloyd Max K. , Maradiaga Ingrid , Luo Genming , An Zhihui , She Zhenbing , Xie Shucheng , Tong Jinnan , Huang Junhua , Algeo Thomas J. , Lyons Timothy W. , Immenhauser Adrian 
Published: June 2020

SignificanceMassive Paleozoic and Precambrian dolostone successions have long puzzled geologists in light of the kinetic barriers that inhibit low-temperature dolomite nucleation and precipitation (i.e., the “dolomite problem”). Significantly, the widely accepted hypothesis that such massive dolomites are the product of burial–hydrothermal dolomitization challenges their validity as archives of Earth surface environments. Here, we place constraints on the formation of massive dolomicrite deposits of the Ediacaran Doushantuo Formation (South China), demonstrating their syndepositional (i.e., early diagenetic) formation over a >63-My interval. Our findings suggest that the “dolomite problem” may be a product of specific conditions common if not persistent in Paleozoic and Precambrian oceans, and that massive dolostone successions may be faithful recorders of environmental conditions in the early oceans.
Hypothalamic tanycytes generate acute hyperphagia through activation of the arcuate neuronal network
Authors: Bolborea Matei , Pollatzek Eric , Benford Heather , Sotelo-Hitschfeld Tamara , Dale Nicholas 
Published: June 2020

Significance
Tanycytes are nutrient-sensing cells that line the third ventricle within the hypothalamus. The role of tanycytes in the regulation of food intake has not been documented. Indeed, the mechanistic link between nutrient concentrations in the CSF and activation of neurons responsible for the regulation of food intake, such as orexigenic (NPY/AgRP) or anorexigenic (POMC) cells, is not yet clear. Here, we demonstrate that tanycytes, engineered to express channelrhodopsin, can activate arcuate neurons to induce acute hyperphagia when activated by light. These data provide further evidence that tanycytes are an integral link between CSF nutrients and the hypothalamic neuronal networks that regulate appetite and energy balance.
The limits of color awareness during active, real-world vision
Authors: Cohen Michael A. , Botch Thomas L. , Robertson Caroline E. 
Published: June 2020

Significance
Color is a foundational aspect of visual experience that aids in segmenting objects, identifying food sources, and signaling emotions. Intuitively, it feels that we are immersed in a colorful world that extends to the farthest limits of our periphery. How accurate is our intuition? Here, we used gaze-contingent rendering in immersive VR to reveal the limits of color awareness during naturalistic viewing. Observers explored 360° real-world environments, which we altered so that only the regions where observers looked were in color, while their periphery was black-and-white. Overall, we found that observers routinely failed to notice when color vanished from the majority of their visual world. These results show that our intuitive sense of a rich, colorful world is largely incorrect.
Non-Hermitian doping of epsilon-near-zero media
Authors: Coppolaro Marino , Moccia Massimo , Castaldi Giuseppe , Engheta Nader , Galdi Vincenzo 
Published: June 2020

Significance
The recently introduced concept of photonic doping in epsilon-near-zero media enables the tailoring and control of the effective magnetic response over broad regions of the parameter space, by resorting to a limited number of arbitrarily placed, nonmagnetic doping particles. Here, we theoretically extend this idea to non-Hermitian scenarios with either doping particles or host media characterized by tailored distributions of gain and loss. This considerably enlarges the attainable effective permeability parameter space, granting access to the entire complex plane. In this extended vision, losses are not considered as second-order, detrimental effects, and their interplay with gain is instrumental to enabling several intriguing effects of potential interest in reconfigurable nanophotonics and optical sensing, whose practical implementation is deferred to future studies.
Amorphous polymer dynamics and free volume element size distributions from ultrafast IR spectroscopy
Authors: Hoffman David J. , Fica-Contreras Sebastian M. , Fayer Michael D. 
Published: June 2020

Significance
The free volume content of polymers has immense importance for polymer properties. However, it is extremely difficult to measure the properties of the free volume elements (FVEs) that make up the free volume. Here we employ ultrafast infrared (IR) pump–probe spectroscopy to measure the properties of the nanoscopic FVEs in polymers using small-molecule IR probes. With this new method, the size and size distribution of the FVEs in polymers are measured and found to agree with previous measurements. The IR measurements also show that the FVEs undergo ultrafast structural fluctuations and provide a way to measure the distribution of local electric fields in the FVEs, which are correlated with the size of the FVEs.
Local and global structures in discourse and interaction
Authors: Haselow Alexander 
Published: June 2020

Abstract
Based on the relatively broad evidence for the assumption that language structure and linguistic cognition are organized in a dualistic way, this chapter follows proposals for a distinction between microstructures and macrostructures in language. While the first serve the establishment of morphosyntactic and semantic relationships, the latter are responsible for structuration in terms of discourse structure, interaction management and cognitive alignment. Using “extra-clausal” constituents as an example, it will be shown that there are points in spoken discourse that are highly sensitive for the structuration of language on a macrolevel, namely the beginning and the end of turns, and that expressions serving macrostructure, which tend to cluster in these positions, have a syntax of their own.
The Finnish projector phrase se että as a fixed
expression
Authors: Vatanen Anna , Suomalainen Karita , Laury Ritva 
Published: June 2020

Abstract
This chapter shows that the Finnish expression se että ‘it
(is) that’, consisting of a demonstrative followed by a complementizer, is a
fixed projective element in talk-in-interaction both on its own and with
collocating elements. It shares features with projector phrases identified
for other languages: it is used both to prepare the addressee for the nature
of the upcoming and to underline the upcoming as central to the ongoing
interaction. The analysis of se että having grammaticized
into a projector phrase is supported by prosodic evidence: the two elements
are most often produced as one prosodic word. The findings support the idea
that se että emerges in interaction with a fixed form
rather than being generated by a syntactic rule.
Revisiting the heavy vector quarkonium leptonic widths *
Authors: Wang Guo-Li , Wu Xing-Gang 
Published: June 2020

Abstract
We revisit the heavy quarkonium leptonic decays

and

using the Bethe-Salpeter method. The emphasis is on the relativistic corrections. For the

decays, the relativistic effects are

%,

%,

%,

% and

%, respectively. For the

decays, the relativistic effects are

%,

%,

%,

% and

%, respectively. Thus, the relativistic corrections are large and important in heavy quarkonium leptonic decays, especially for the highly excited charmonium. Our results for

are consistent with the experimental data.
Utilization of Sentinel 1-A for Identification Land Use changes in Citarum Watershed
Authors: Ardha Mohammad , Faristyawan Rizky , Prasasti Indah 
Published: June 2020

Abstract
Citarum Watershed is one of critical watershed that must be restored which included in five priority watersheds. Land use change is one of the problems that occurred in Citarum Watershed for several years. Information about land use change is required as considerationin order to plan policies regarding of revitalization of Citarum Watershed. Remote Sensing is widely well-known of its use for environmental monitoring, especially for land use change detection. Remote Sensing application is commonly use optical image to derive information about land use change in Citarum Watershed beside its limitation related to cloud cover. Sentinel 1A produces SAR data which obtain free cloud information in Citarum Watershed, and it can be used to cover optical satellite weakness. This research utilizes training samplesfromimage in 2016 and 2018 then using random forest to classify land use in 2016 and 2018.Both classification results can be used togenerate new image to see the land use change. Purpose of this research is to understand the potential of Sentinel-1Adata to detect land use change. Result of this research shown that Sentinel-1A could generate land use change even the confidence level is still below 70 percent and still need many improvements.
Land Use Impact to Water Quality in Bedadung River, Indonesia
Authors: Pradana Hendra Andiananta , Novita Elida , Andriyani Idah , Purnomo Bambang Herry 
Published: June 2020

Abstract
Bedadung River is one of the water sources in Jember Regency. However, the condition was in the category of polluted in heavy level at an urban area (i.e Sumbersari and Kaliwates Districts). Water quality monitoring was one method to pollution controlling efforts by the government and stakeholders. Water quality monitoring could be done with a. Water Pollution Index (WPI) described contaminating based on physical, chemical and biological parameters in the water. The focus of this research investigated land use impact for water quality of Bedadung River with Water Pollution Index (WPI) method. Water Pollution Index (WPI) used to input data consisting of physical, chemical and biological parameters. The parameters were physical, chemical, and biological. Sampling was carried out on 5 locations of the Bedadung River urban area segment (i.e Patrang, Sumbersari, and Kaliwates Districts) in 2016. Land use data was in 2010. The condition of the Bedadung River water quality in the urban segment in the lightly-moderately polluted category is based on the WPI with a value of 5.35-8.01 in the Bedadung River urban area segment (Patrang, Sumbersari, and Kaliwates District). Then it was supported mitigation and adaptation making for sustainability of water quality management by stakeholder and government in the urban area.