bluuebunny/crossref_metadata_2025_split huggingface dataset:
NRAO and Radio Astronomy in the Twenty-First Century
Authors: Kellermann Kenneth I. , Bouton Ellen N. , Brandt Sierra S. 
Published: June 2020

AbstractFollowing the inauspicious experience with the 140 Foot Telescope, NRAO apparently learned to manage big projects. The VLA and VLBA were built on schedule and on budget. But the Green Bank Telescope project was funded before the design was complete and was prematurely rushed into construction with unfortunate consequences to the cost and schedule. However, by the beginning of the twenty-first century NRAO was operating the most powerful radio telescopes in the world, the VLA, the VLBA, and the GBT, and had become the acknowledged leader in the evolution of radio astronomy from a technique to an astronomical-based science. As radio telescopes became more sophisticated and computer-aided, observations and reduction became more automated; radio astronomers evolved from experimenters to observers to data analysts. By the turn of the century, the traditional breed of radio astronomers was disappearing. NRAO users often no longer participated in the observing, and with the start of ALMA observations in 2011, often did not even participate in the planning of the observations or the reduction of data.
A New Era in Radio Astronomy
Authors: Kellermann Kenneth I. , Bouton Ellen N. , Brandt Sierra S. 
Published: June 2020

AbstractBy the early 1950s the US Department of Defense, especially the Navy, and the newly created National Science Foundation (NSF) began to play a major role in American science, especially in astronomy. Meanwhile, Associated Universities, Inc. (AUI), which founded and operated the Brookhaven National Laboratory, was looking for new business. During these Cold War times, the United States could not afford to fall behind in the exciting and rapidly developing new area of radio astronomy. Caltech, MIT, Harvard, and Naval Research Laboratory scientists discussed how to get the United States more involved in this emerging field that had clear commercial and military applications as well as extraordinary opportunities for basic research. Two key conferences held at the end of 1953 and the start of 1954 provided the catalyst for an NSF-funded feasibility study aimed toward the goal of establishing a national radio astronomy facility.
The Bar Is Open
Authors: Kellermann Kenneth I. , Bouton Ellen N. , Brandt Sierra S. 
Published: June 2020

AbstractWith the successful completion of the 140 Foot Radio Telescope in 1965, and the increased use of the 300 Foot Telescope, NRAO finally began to serve its role as a national observatory. Any scientist with a good program had access to world class facilities without regard for institutional affiliation—a policy which later became known as “Open Skies.”
VLBI and the Very Long Baseline Array
Authors: Kellermann Kenneth I. , Bouton Ellen N. , Brandt Sierra S. 
Published: June 2020

AbstractBeginning in the 1950s radio interferometers and arrays of antennas were connected by cable, waveguide, or radio links separated by up to a hundred kilometers or more. Starting in 1967, radio astronomers in the US and Canada began to experiment with independent local oscillators and broad band tape recorders to record data collected by widely separated antennas, a technique which came to be known as Very Long Baseline Interferometry or VLBI. Using radio telescopes spread throughout the United States, Australia, and Europe, VLBI baselines were increased to thousands of kilometers, and ultimately to space, with baselines ranging out to hundreds of thousands of kilometers.
Data, Meta Data and Pattern Data: How Franz Boas Mobilized Anthropometric Data, 1890 and Beyond
Authors: Müller-Wille Staffan 
Published: June 2020

AbstractBetween 1890 and 1911, the German-American anthropologist Franz Boas conducted a whole suite of anthropometric studies, which all in all generated data from body measurements carried out on about 27,000 individuals. To this day, this data is being re-analyzed by researchers with a range of disciplinary interests. In my chapter, I will take a close look at a small subset of the original datasheets Boas used in his surveys, and how he and other scientists processed the data in later publications. My analysis will reveal that the extraordinary potential for travel and re-use of Boas’s data crucially depended on the way in which he designed his surveys. Alongside recording standard anthropometric variables, Boas collected genealogical and geographical information on the individuals measured, which allowed him to flexibly classify data in a variety of ways. It is this richness in structure, or “pattern data,” that explains why the data from Boas’s anthropometric projects remain valuable for researchers from a variety of disciplines to this very day.
Barriers to the Adoption of Improved Cooking Stoves for Rural Resilience and Climate Change Adaptation and Mitigation in Kenya
Authors: Nzengya Daniel M. , Maina Mwari Paul , Njeru Chrocosiscus 
Published: June 2020

AbstractMajority of Kenya’s citizens reside in the rural areas where wood fuel is still the primary source of energy for cooking. Continuing reliance on wood fuel against the backdrop of burgeoning population poses huge threats to the country’s forest cover, undermining capacity for climate change mitigation and adaptation. This study conducted in Machakos and Laikipia counties explored; (i) women’s perceptions of the health risks associated with dependence of firewood for cooking, (ii) women’s attitudes and perceptions towards improved cooking charcoal stoves (ICS) as cleaner alternatives to traditional firewood stoves for cooking, and (iii) women’s perceptions of barriers to adoption of improved cooking stoves. Study findings revealed that women were aware of the health risks associated with the use of firewood for cooking. However, despite these perceptions, upward trends in demands for firewood as a source of energy for cooking in the rural areas may persist in the next coming decades. Barriers to adoption of improved cooking stoves vary by sociocultural contexts. The study concludes that innovations that involve stakeholders especially participatory designs, monitoring, and evaluation of ICS might improve adoption levels. Moreover, innovations to increase adoption need to leverage on the opportunities provided by Sustainable development goal number 7 to accelerate adoption of ICS among other forms of cleaner, affordable, and sustainable sources of energy for cooking.
Plants and Plant Products in Local Markets Within Benin City and Environs
Authors: Osawaru Moses Edwin , Ogwu Matthew Chidozie 
Published: June 2020

AbstractThe vulnerability of agriculture systems in Africa to climate change is directly and indirectly affecting the availability and diversity of plants and plant products available in local markets. In this chapter, markets in Benin City and environs were assessed to document the availability of plants and plant products. Markets were grouped into urban, suburban, and rural with each group having four markets. Majority of the plant and plant product vendors were women and 88 plant species belonging to 42 families were found. Their scientific and common names were documented as well as the parts of the plant and associated products available in the markets. Most of the plant and plant products found in local markets belong to major plant families. Urban markets had the highest diversity of plants and plant products. Three categories of plants and plant products were documented. Around 67% of the plants and plant products were categorized as whole plant/plant parts, 28% as processed plant parts, while 5% as reprocessed plant/plant parts. It was revealed that 86% of these plants are used as foods, 11% are for medicinal purposes, while 3% is used for other purposes. About 35% of plants and plant products across the markets were fruits, which is an indication that city and environs are a rich source of fruits. The local knowledge and practices associated with the plants and plant products can contribute towards formulating a strategic response for climate change impacts on agriculture, gender, poverty, food security, and plant diversity.
The Path to Reform of ISDS: What Role for National Courts?
Authors: Kaufmann-Kohler Gabrielle , Potestà Michele 
Published: June 2020

AbstractThis chapter analyzes the possible role which national courts could play in the main reform scenarios which States are currently considering, i.e., if investment arbitration is (i) reformed through targeted adjustments, (ii) supplemented with an appellate mechanism, (iii) replaced by a multilateral investment court, or (iv) supplanted by inter-State mechanisms. Each of these reform scenarios raises specific challenges when it comes to their articulation with domestic courts.
Glucose transporters in adipose tissue, liver, and skeletal muscle in metabolic health and disease
Authors: Chadt Alexandra , Al-Hasani Hadi 
Published: June 2020

AbstractA family of facilitative glucose transporters (GLUTs) is involved in regulating tissue-specific glucose uptake and metabolism in the liver, skeletal muscle, and adipose tissue to ensure homeostatic control of blood glucose levels. Reduced glucose transport activity results in aberrant use of energy substrates and is associated with insulin resistance and type 2 diabetes. It is well established that GLUT2, the main regulator of hepatic hexose flux, and GLUT4, the workhorse in insulin- and contraction-stimulated glucose uptake in skeletal muscle, are critical contributors in the control of whole-body glycemia. However, the molecular mechanism how insulin controls glucose transport across membranes and its relation to impaired glycemic control in type 2 diabetes remains not sufficiently understood. An array of circulating metabolites and hormone-like molecules and potential supplementary glucose transporters play roles in fine-tuning glucose flux between the different organs in response to an altered energy demand.
Ventilator-associated pneumonia in neonates: the role of point of care lung ultrasound
Authors: Tusor Nora , De Cunto Angela , Basma Yousef , Klein John L. , Meau-Petit Virginie 
Published: June 2020

AbstractNo consensus exists regarding the definition of ventilator-associated pneumonia (VAP) in neonates and reliability of chest X-ray (CXR) is low. Lung ultrasound (LU) is a potential alternative diagnostic tool. The aim was to define characteristics of VAP in our patient population and propose a multiparameter score, incorporating LU, for VAP diagnosis. Between March 25, 2018, and May 25, 2019, infants with VAP were identified. Clinical, laboratory and microbiology data were collected. CXRs and LU scans were reviewed. A multiparameter VAP score, including LU, was calculated on Day 1 and Day 3 for infants with VAP and for a control group and compared with CXR. VAP incidence was 10.47 episodes/1000 ventilator days. LU and CXR were available for 31 episodes in 21 infants with VAP, and for six episodes in five patients without VAP. On Day 1, a VAP score of > 4, and on Day 3 a score of > 5 showed sensitivity of 0.94, and area under the curve of 0.91 and 0.97, respectively. AUC for clinical information only was 0.88 and for clinical and CXR 0.85.Conclusion: The multiparameter VAP score including LU could be useful in diagnosing VAP in neonates with underlying lung pathology.

What is Known:• Ventilator associated pneumonia (VAP) is common in infants on the neonatal unit and is associated with increased use of antibiotics, prolonged ventilation and higher incidence of chronic lung disease.• Commonly used definitions of VAP are difficult to apply in neonates and interpretation of chest X-ray is challenging with poor inter-rater agreement in patients with underlying chronic lung disease.

What is New:• The multiparameter VAP score combining clinical, microbiology and lung ultrasound (LU) data is predictive for VAP diagnosis in preterm infants with chronic lung disease.• LU findings of VAP in neonates showed high inter-rater agreement and included consolidated lung areas, dynamic bronchograms and pleural effusion.
Lymphocyte activation gene-3 (LAG3) mRNA and protein expression on tumour infiltrating lymphocytes (TILs) in oesophageal adenocarcinoma
Authors: Gebauer Florian , Krämer Max , Bruns Christiane , Schlößer Hans A. , Thelen Martin , Lohneis Philipp , Schröder Wolfgang , Zander Thomas , Alakus Hakan , Buettner Reinhard , Loeser Heike , Quaas Alexander 
Published: June 2020

Abstract
Purpose
Lymphocyte activation gene-3 (LAG3) is an immunosuppressive checkpoint molecule expressed on T cells. The frequency and distribution of LAG3 expression in oesophageal adenocarcinoma (EAC) is unknown. Aim of the study was the evaluation and distribution of LAG3 on tumour infiltrating lymphocytes (TILs) and correlation with clinico-pathological and molecular data.

Methods
We analysed tumor tissue samples using immunohistochemistry, multi-colour immunofluorescence and mRNA in-situ technology. The analyses were performed on a multi-spot tissue microarray (TMA) with 165 samples, followed by an evaluation on a single-spot TMA with 477 samples. These results were correlated with clinical and molecular tumour data.

Results
LAG3 expression on TILs was detectable in 10.5% on the multi-spot TMA and 11.4% on the single-spot TMA. There was a strong correlation between protein expression and mRNA expression (p < 0.001) in TILs. LAG 3 expression was correlated with CD4+ and CD8+ T-cells within the tumor (p < 0.001). LAG3 expression showed an improved overall survival (OS) compared to patients without LAG3 expression (median OS 70.2 vs. 26.9 months; p = 0.046). The effect was even clearer in the group of patients with tumour stages > pT2 (70.2 vs 25.0 months; p = 0.037).

Conclusion
This is the first description of LAG3 expression on TILs in EAC, underscoring the importance of immunomodulation in EAC. Our data suggest an impact of LAG3 in a relevant subset of EAC. Therapeutic studies investigating the efficacy of LAG3 inhibition in EAC will also provide predictive evidence and relevance of the immunohistochemical determination of LAG3 expression.
KGAnet: a knowledge graph attention network for enhancing natural language inference
Authors: Song Meina , Zhao Wen , HaiHong E. 
Published: June 2020

AbstractNatural language inference (NLI) is the basic task of many applications such as question answering and paraphrase recognition. Existing methods have solved the key issue of how the NLI model can benefit from external knowledge. Inspired by this, we attempt to further explore the following two problems: (1) how to make better use of external knowledge when the total amount of such knowledge is constant and (2) how to bring external knowledge to the NLI model more conveniently in the application scenario. In this paper, we propose a novel joint training framework that consists of a modified graph attention network, called the knowledge graph attention network, and an NLI model. We demonstrate that the proposed method outperforms the existing method which introduces external knowledge, and we improve the performance of multiple NLI models without additional external knowledge.
Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: case study from the South Rim of the Grand Canyon, Arizona, USA
Authors: Solder John E. , Beisner Kimberly R. 
Published: June 2020

AbstractSprings and groundwater seeps along the South Rim of the Grand Canyon (Arizona, USA) are important for the region’s ecosystems, residents (human and animal), and economy. However, these springs and seeps are potentially vulnerable to contamination, increased groundwater extraction, or reduced recharge due to climate change. In this study, statistical methods are used to investigate δ2H and δ18O in precipitation, surface water, and groundwater to determine groundwater source. A mixing model for δ18O is developed using statistically distinct seasonal end-members represented by modeled winter (Nov–Apr) precipitation and summer (May–Oct) surface-water run-off. The calculated fraction of winter recharge (Fwin) indicates that South Rim groundwater is primarily sourced from snow-melt and winter rains with an average Fwin of 0.97 ± 0.09. Groundwater sourced from the highest elevations of the study area are more depleted than the winter end-member, suggesting values of Fwin are overestimated or a meaningful portion of winter recharge occurs at lower elevations. Lower-elevation recharge from the Coconino Plateau is supported by consistent spatial trends in δ2H and δ18O with respect to longitude, Fwin values <0.9 for 9 of the 50 samples, and age tracer data indicating young groundwater discharging from springs which is distinct from old groundwater observed in the regional flow system. These results suggest a new conceptual model is needed to account for recharge sources from low elevation and summer precipitation. Results imply resource managers may need to reconsider current land-use and water management practices on the South Rim to protect future water quantity and quality.
Clinical characteristics and long-term prognosis of relapsing anti-N-methyl-d-aspartate receptor encephalitis: a retrospective, multicenter, self-controlled study
Authors: Zeng Wei , Cao Liming , Zheng Jinou , Yu Lu 
Published: June 2020

Abstract
Objective
To analyze the clinical profile and long-term prognosis of relapsing anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis.

Method
This is a retrospective, multicenter, self-controlled study of 10 patients with relapsing anti-NMDAR encephalitis. Relapse was defined as new psychiatric or neurologic syndrome unexplainable by other causes that improved after immunotherapy.

Results
The main symptoms at first onset and relapse included psychiatric symptoms, cognitive impairment, speech dysfunction, seizures, consciousness disturbance, movement disorders, central hypoventilation, and autonomic dysfunction. There were significantly fewer seizures and consciousness disturbances at relapse. At the first onset, the antibody positivity rate was significantly higher in the cerebrospinal fluid (CSF) than in the serum, and abnormal electroencephalograms results were noted in all patients. The relapse rate was 12.2%. After first-onset discharge, the duration of medication intake was 3.10 ± 2.69 months; the relapse time was 18.3 ± 16.5 months. The Modified Rankin Scale (MRS) score at relapse was significantly lower than that at the first onset. The MRS scores at relapse and first onset after immunotherapy were significantly lower than those before immunotherapy. At follow-up, the average duration of antiepileptic drug (AED) intake was < 1 year; the relapse rate was low.

Conclusions
Patients have fewer symptoms and better quality of life at relapse than at the first onset. Active immunotherapy can significantly improve the quality of life during first onset and relapse. Encephalitis antibody testing in the CSF is preferred at first onset and relapse. Increasing antibody titers suggest clinical relapse. Prematurely stopping immunotherapy may lead to relapse, but prolonged AED intake is unnecessary.
Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique
Authors: Ghobadi Hossein , Spogli Luca , Alfonsi Lucilla , Cesaroni Claudio , Cicone Antonio , Linty Nicola , Romano Vincenzo , Cafaro Massimo 
Published: June 2020

AbstractWe contribute to the debate on the identification of phase scintillation induced by the ionosphere on the global navigation satellite system (GNSS) by introducing a phase detrending method able to provide realistic values of the phase scintillation index at high latitude. It is based on the fast iterative filtering signal decomposition technique, which is a recently developed fast implementation of the well-established adaptive local iterative filtering algorithm. FIF has been conceived to decompose nonstationary signals efficiently and provide a discrete set of oscillating functions, each of them having its frequency. It overcomes most of the problems that arise when using traditional time–frequency analysis techniques and relies on a consolidated mathematical basis since its a priori convergence and stability have been proved. By relying on the capability of FIF to efficiently identify the frequencies embedded in the GNSS raw phase, we define a method based on the FIF-derived spectral features to identify the proper cutoff frequency for phase detrending. To test such a method, we analyze the data acquired from GPS and Galileo signals over Antarctica during the September 2017 storm by the ionospheric scintillation monitor receiver (ISMR) located in Concordia Station (75.10° S, 123.33° E). Different cases of diffraction and refraction effects are provided, showing the capability of the method in deriving a more accurate determination of the $$\sigma_{\phi }$$

σ
ϕ

index. We found values of cutoff frequency in the range of 0.73–0.83 Hz, providing further evidence of the inadequacy of the choice of 0.1 Hz, which is often used when dealing with ionospheric scintillation monitoring at high latitudes.
Exploring farmer perceptions of agroforestry via multi-objective optimisation: a test application in Eastern Panama
Authors: Gosling Elizabeth , Reith Esther , Knoke Thomas , Gerique Andrés , Paul Carola 
Published: June 2020

AbstractUnderstanding farmers’ perceptions of and preferences towards agroforestry is essential to identify systems with the greatest likelihood of adoption to inform successful rural development projects. In this study we offer a novel approach for evaluating agroforestry systems from the farmer perspective. The approach couples rapid rural appraisal and normative optimisation techniques to determine favourable land-use compositions for meeting various socio-economic and ecological goals, based on farmers’ empirical knowledge and preferences. We test our approach among smallholder farmers in Eastern Panama, obtaining data from household interviews and using hierarchical cluster analysis to identify farm groups with similar land-use and income characteristics. We found that moderate differences in farmers’ perceptions between these groups altered the type and share of agroforestry included in the optimised land-use portfolios that balance the achievement of 10 pre-selected socio-economic and ecological objectives. Such differences provide valuable information about potential acceptability of agroforestry within each group. For example, we found that farmers who derive most of their farm income from crops may be more willing to adopt silvopasture, whereas farmers who are more economically dependent on cattle may benefit from diversifying their land-use with alley cropping. We discuss the potential of this modelling approach for participatory land-use planning, especially when dealing with small sample sizes and uncertainty in datasets.