bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast
Authors: Lentz Erika E. , Zeigler Sara L. , Thieler E. Robert , Plant Nathaniel G. 
Published: November 2020

Abstract
Context
Coastal landscapes evolve in response to sea-level rise (SLR) through a variety of geologic processes and ecological feedbacks. When the SLR rate surpasses the rate at which these processes build elevation and drive lateral migration, inundation is likely.

Objectives
To examine the role of land cover diversity and composition in landscape response to SLR across the northeastern United States.

Methods
Using an existing probabilistic framework, we quantify the probability of inundation, a measure of vulnerability, under different SLR scenarios on the coastal landscape. Resistant areas—wherein a dynamic response is anticipated—are defined as unlikely (p < 0.33) to inundate. Results are assessed regionally for different land cover types and at 26 sites representing varying levels of land cover diversity.

Results
Modeling results suggest that by the 2050s, 44% of low-lying, habitable land in the region is unlikely to inundate, further declining to 36% by the 2080s. In addition to a decrease in SLR resistance with time, these results show an increasing uncertainty that the coastal landscape will continue to evolve in response to SLR as it has in the past. We also find that resistance to SLR is correlated with land cover composition, wherein sites containing land cover types adaptable to SLR impacts show greater potential to undergo biogeomorphic state shifts rather than inundating with time.

Conclusions
Our findings support other studies that have highlighted the importance of ecological composition and diversity in stabilizing the physical landscape and suggest that flexible planning strategies, such as adaptive management, are particularly well suited for SLR preparation in diverse coastal settings.
Detecting emotions during a memory training assisted by a social robot for individuals with Mild Cognitive Impairment (MCI)
Authors: Palestra Giuseppe , Pino Olimpia 
Published: November 2020

AbstractThe attention towards robot-assisted therapies (RAT) had grown steadily in recent years particularly for patients with dementia. However, rehabilitation practice using humanoid robots for individuals with Mild Cognitive Impairment (MCI) is still a novel method for which the adherence mechanisms, indications and outcomes remain unclear. An effective computing represents a wide range of technological opportunities towards the employment of emotions to improve human-computer interaction. Therefore, the present study addresses the effectiveness of a system in automatically decode facial expression from video-recorded sessions of a robot-assisted memory training lasted two months involving twenty-one participants. We explored the robot’s potential to engage participants in the intervention and its effects on their emotional state. Our analysis revealed that the system is able to recognize facial expressions from robot-assisted group therapy sessions handling partially occluded faces. Results indicated reliable facial expressiveness recognition for the proposed software adding new evidence base to factors involved in Human-Robot Interaction (HRI). The use of a humanoid robot as a mediating tool appeared to promote the engagement of participants in the training program. Our findings showed positive emotional responses for females. Tasks affects differentially affective involvement. Further studies should investigate the training components and robot responsiveness.
Word-to-text integration in English as a second language reading comprehension
Authors: Mulder Evelien , van de Ven Marco , Segers Eliane , Krepel Alexander , de Bree Elise H. , de Jong Peter F. , Verhoeven Ludo 
Published: November 2020

AbstractWe assessed the relationship between word-to-text-integration (WTI) and reading comprehension in 7th grade students (n = 441) learning English as a second language (L2). The students performed a self-paced WTI reading task in Fall (T1) and Spring (T2), consisting of three text manipulation types (anaphora resolution, argument overlap, anomaly detection), divided in simple and complex passages. The passages contained proximate versus distant anaphora, explicit repetitions versus implicit inferences, and no anomalies versus anomalies. We first examined how WTI complexity was related to reading times on target, target plus one, and target plus two, controlling for word frequency, decoding fluency, gender, and age. Mixed-effects models showed shorter reading times on T2 than on T1 and for simple compared to complex passages, indicating improvement of L2 reading speed. Complexity affected WTI for our L2 learners, as was reflected by longer reading times on complex compared to simple argument overlap and anomaly detection passages. We then assessed whether reading comprehension could be predicted by WTI. Longer reading times on complex compared to simple argument overlap and anomaly detection passages predicted offline reading comprehension. These WTI-measures of complexity are thus indicators of WTI proficiency for novice L2 learners.
Forensic NMR metabolomics: one more arrow in the quiver
Authors: Locci Emanuela , Bazzano Giovanni , Chighine Alberto , Locco Francesco , Ferraro Ernesto , Demontis Roberto , d’Aloja Ernesto 
Published: November 2020

Abstract
Introduction
NMR metabolomics is increasingly used in forensics, due to the possibility of investigating both endogenous metabolic profiles and exogenous molecules that may help to describe metabolic patterns and their modifications associated to specific conditions of forensic interest.

Objectives
The aim of this work was to review the recent literature and depict the information provided by NMR metabolomics. Attention has been devoted to the identification of peculiar metabolic signatures and specific ante-mortem and post-mortem profiles or biomarkers related to different conditions of forensic concern, such as the identification of biological traces, the estimation of the time since death, and the exposure to drugs of abuse.

Results and Conclusion
The results of the described studies highlight how forensics can benefit from NMR metabolomics by gaining additional information that may help to shed light in several forensic issues that still deserve to be further elucidated.
Developing KASP Markers for Identification of Basmati Rice Varieties
Authors: Steele Katherine , Tulloch Mark Quinton , Burns Malcolm , Nader Werner 
Published: November 2020

AbstractAuthentication of Basmati rice has relied on microsatellite markers since 2004, but microsatellites cannot distinguish between all of the forty-one Basmati varieties approved in 2017. This study investigated whether single nucleotide polymorphisms (SNP) and insertion/deletion (InDel) variations developed into KASP™ (Kompetitive Allele Specific PCR; LGC Biosearch Technologies) could be used to distinguish between commercial Basmati varieties. Suitable loci were identified by comparing whole genome sequences of 120 diverse rice accessions. Sequences flanking these loci were standardized across a wide range of rice genomes to produce optimal KASP designs. We selected 364 KASP designs to use for genotyping; they were either near to informative microsatellite markers, within the Badh2 and Waxy genes, or distributed throughout the rice genome. Genotypes for 327 KASP were obtained with 255 loci revealing polymorphism in up to 41 samples of approved Basmati varieties and 20 non-Basmati varieties. The varieties genotyped had not been used in the KASP design process. KASP were able to distinguish between commercial Basmati varieties that could not be distinguished with currently available microsatellites. Thirty-seven Basmati varieties could be distinguished from all others with between 3 and 8 KASP markers out of a pool of 98 informative markers. A reduced set of 24 KASP markers could determine whether a sample belongs to one of eight family groups. All of the KASP markers used in this study can be purchased from LGC Biosearch Technologies. These markers have potential to be used by industry for routine testing and regulation.
The comparison of design airflow rates with dynamic and steady-state displacement models in varied dynamic conditions
Authors: Lastovets Natalia , Kosonen Risto , Jokisalo Juha 
Published: November 2020

AbstractA temperature-based method is usually applied in displacement ventilation (DV) design when overheating is the primary indoor climate concern. Different steady-state models have been developed and implemented to calculate airflow rate in rooms with DV. However, in practical applications, the performance of DV depends on potentially dynamic parameters, such as strength, type and location of heat gains and changing heat gain schedule. In addition, thermal mass affects dynamically changing room air temperature. The selected steady-state and dynamic models were validated with the experimental results of a lecture room and an orchestra rehearsal room. Among the presented models, dynamic DV model demonstrated a capability to take into account the combination of dynamic parameters in typical applications of DV. The design airflow rate is calculated for the case studies of dynamic DV design in the modelled lecture room in both dynamic and steady-state conditions. In dynamic conditions of heavy construction in 2–4 hours occupancy periods, the actual airflow rate required could be 50% lower than the airflow rate calculated with the steady-state models. The difference between steady-state and dynamic multi-nodal model is most significant with heavyweight construction and short occupancy period (17%–28%). In cases with light construction, the dynamic DV model provides roughly the same airflow rates for four-hour occupancy period than the Mund’s model calculates. The dynamic model can significantly decrease the design airflow rate of DV, which can result in a reduction of investment costs and electrical consumption of fans.
Practical guidance for echocardiography for cancer therapeutics-related cardiac dysfunction
Authors:   Guideline Committee of the Japanese Society of Echocardiography, Onishi Tetsuari , Fukuda Yuko , Miyazaki Sakiko , Yamada Hirotsugu , Tanaka Hidekazu , Sakamoto Jiro , Daimon Masao , Izumi Chisato , Nonaka Akiko , Nakatani Satoshi , Akaishi Makoto 
Published: November 2020

AbstractThe prognosis of patients with cancer has improved due to an early diagnosis of cancer and advances in cancer treatment. There are emerging reports on cardiotoxicity in cancer treatment and on cardiovascular disease in cancer patients, from which cardiovascular disease has been recognized as a common cause of death among cancer survivors. This situation has led to the need for a medical system in which oncologists and cardiologists work together to treat patients. With the growing importance of onco-cardiology, the role of echocardiography in cancer care is rapidly expanding, but at present, the practice of echocardiography in clinical settings varies from institution to institution, and is empirical with no established systematic guidance. In view of these circumstances, we thought that brief guidance for clinical application was necessary and have therefore developed this guidance, although evidence in this field is still insufficient.
Fast MoS$$_2$$ thickness identification by transmission imaging
Authors: Neri Igor , López-Suárez Miquel , Caponi Silvia , Mattarelli Maurizio 
Published: November 2020

AbstractDetermining the thickness of a few-layer 2D material is a tough task that often involves complex and time consuming measurements. Here we discuss a rapid method for determining the number of layers of molybdenum disulfide, MoS$$_2$$

2

, flakes based on microscopic transmission imaging. By analyzing the contrast of the red, blue and green channels of the flake image against the background, we show that it is possible to unequivocally determine the number of layers. The presented method is based on the light absorption properties of MoS$$_2$$

2

and its validity is confirmed by micro-Raman measurements. The main advantage of this method against traditional methods is to quickly determine the thickness of the material in the early stages of the experimental process with low cost apparatus.
Seasonal and spatial shifts in feral cat predation on native seabirds vs. non-native rats on Mikura Island, Japan
Authors: Azumi Sarara , Watari Yuya , Oka Nariko , Miyashita Tadashi 
Published: November 2020

AbstractUnderstanding how invasive predators impact native species is essential for the development of effective control strategies, especially in insular environments where alternative non-native prey species exist. We examined seasonal and spatial shifts in diet of feral cat Felis silvestris catus focusing on the predation on native streaked shearwaters, Calonectris leucomelas, and introduced rats, Rattus rattus and R. norvegicus, which are alternative prey to shearwaters, on Mikura Island, Japan. Streaked shearwaters breed at low elevations on the island from spring to autumn, whereas rats inhabit the island throughout the year, which makes them an alternative prey when native shearwaters are absent. Fecal analysis revealed that feral cats dramatically shifted their diets from introduced rats in winter to streaked shearwaters in seabird-season in low elevation areas of the island, while cats preyed on rats throughout the year at high altitudes on the island. This finding suggests that feral cats selectively prey on shearwaters. This is probably because of their large body size and less cautious behavior, and because introduced rats sustain the cat population when shearwaters are absent. The number of streaked shearwaters killed was estimated to be 313 individuals per cat per year, which represents an indication of top-down effects of feral cats on streaked shearwaters. Further studies on the demographic parameters and interspecific interactions of the three species are required to enable effective cat management for the conservation of streaked shearwaters on this island.
Genetics of Amyotrophic Lateral Sclerosis
Authors: Gregory Jenna M. , Fagegaltier Delphine , Phatnani Hemali , Harms Matthew B. 
Published: November 2020

Abstract
Purpose of Review
Amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum disorder is a rare fatal disease with strong genetic influences. The implementation of short-read sequencing methodologies in increasingly large patient cohorts has rapidly expanded our knowledge of the complex genetic architecture of the disease. We aim to convey the broad history of ALS gene discovery as context for a focused review of 11 ALS gene associations reported over the last 5 years. We also summarize the current level of genetic evidence for all previously reported genes.

Recent Findings
The history of ALS gene discovery has occurred in at least four identifiable phases, each powered by different technologies and scale of investigation. The most recent epoch, benefitting from population-scale genome data, large international consortia, and low-cost sequencing, has yielded 11 new gene associations. We summarize the current level of genetic evidence supporting these ALS genes, highlighting any genotype-phenotype or genotype-pathology correlations, and discussing preliminary understanding of molecular pathogenesis. This era has also raised uncertainty around prior ALS-associated genes and clarified the role of others.

Summary
Our understanding of the genetic underpinning of ALS has expanded rapidly over the last 25 years and has led directly to the clinical application of molecularly driven therapies. Ongoing sequencing efforts in ALS will identify new causative and risk factor genes while clarifying the status of genes reported in prior eras of research.
Effect of drought length on the performance of cabbage (Brassica oleracea var capitata) in the forest-savannah transition zone, Ghana
Authors: Ackah E. , Kotei R. 
Published: November 2020

AbstractThe drought tolerance of Cabbage, Brassica oleracea var capitata (Oxylus) was investigated by subjecting the initial, development and mid growth stages to varying drought lengths of 5, 7, 9, 11, 13 and 15 days in a 7 × 3 factorial experiment to determine the effect of each drought period at each growth stage on growth and yield. Data on number of opened leaves/plant, leaf area index (LAI), leaf chlorophyll content, head size and yield/ha were recorded due to drought effect at each growth stage. Analysis of variance at 5% probability level indicated that drought periods of 5–15 days at the initial stage significantly reduced number of leaves, LAI and head size. Significant reduction in chlorophyll content and yield were due to drought beyond 11 and 5 days respectively at the initial stage. Number of opened leaves increased significantly with increasing drought length at the development stage; critical at 11 days drought. Significant reductions in LAI at the development and mid stages were critical at 11 and 9 days respectively whilst chlorophyll content was significantly reduced at both the development and mid stages by all drought periods. Significant reduction in head size at the development and mid stages was critical at 7 days. Generally, the drought tolerance of cabbage increased from the initial to the mid-stage. To maintain economic yields of cabbage in the forest-savannah transition zone, the initial and development stages could tolerate drought stress up to 5 days whilst the mid stage could tolerate up to 7 days.
Infection control measures in times of antimicrobial resistance: a matter of solidarity
Authors: Rump Babette , Timen Aura , Hulscher Marlies , Verweij Marcel 
Published: November 2020

AbstractControl measures directed at carriers of multidrug-resistant organisms are traditionally approached as a trade-off between public interests on the one hand and individual autonomy on the other. We propose to reframe the ethical issue and consider control measures directed at carriers an issue of solidarity. Rather than asking “whether it is justified to impose strict measures”, we propose asking “how to best care for a person’s carriership and well-being in ways that do not imply an unacceptable risk for others?”. A solidarity approach could include elevating baseline levels of precaution measures and accepting certain risks in cases where there is exceptionally much at stake. A generous national compensation policy that also covers for costs related to dedicated care is essential in a solidarity approach. An additional benefit of reframing the questions is that it helps to better acknowledge that being subjected to control measures is a highly personal matter.
Voice of urban park visitors: exploring destination attributes influencing behavioural intentions through online review mining
Authors: Ma Ke , Jiang Beibei 
Published: November 2020

AbstractIn this paper, we will identify the destination attributes of a popular urban park and investigate their specific roles in forming visitors' behavioural intentions using text mining approaches. The principles of natural language processing and psychometric procedure were combined to achieve the objectives of the research. Initially, park visitors’ online reviews were collected and analysed to identify possible latent dimensions for questionnaire design. Then, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used for crucial factor selection and verification. Lastly, a structural equation model (SEM) was constructed to investigate the impacts of these park attributes on the behavioural intention of visitors.
Demographic considerations and food security in Nigeria
Authors: Owoo Nkechi S. 
Published: November 2020

AbstractClose to 14 million people in Nigeria, including children, are malnourished. I hypothesize that demographic considerations play an important role in food insecurity within Nigerian households. Using data from three waves of the World Bank’s Living Standard Measurement Survey for Nigeria, I illustrate spatial patterns of food security in the country. Using fixed effects regressions, I also show that, at the household level, larger households have worse food security outcomes and are more likely to report being food insecure. Children from large households also suffer worse malnutrition outcomes. This relationship is significant in urban Nigeria as well, with implications for sustainable urban planning and family planning to address unmet need for contraceptives.
Hot versus cold behavior in centipede games
Authors: García-Pola Bernardo , Iriberri Nagore , Kovářík Jaromír 
Published: November 2020

AbstractThere is a long-standing unresolved debate in game theory and experimental economics regarding the behavioral equivalence of the direct-response method (hot play) and the strategy method (cold play). Using a unified experimental framework, we compare behavior elicited via both methods in four different Centipede Games that differ in their incentives to take or pass, in the evolution of those incentives over decision nodes, and in the asymmetry of the incentives across the two player roles. Out of the four Centipede Games, we find that both methods yield statistically different behavior in two of them, while in the remaining two we cannot reject the same behavior across the hot and cold methods. Whenever the behavior diverges, hot play consistently makes individuals stop earlier. These findings should shift the question from whether both methods are generically behaviorally equivalent to under which conditions they are (not) and why.
Housing Values and the Residential Settlement of Migrants: Zooming in on Neighbourhoods in Italian Provincial Capitals
Authors: Kalantaryan Sona , Alessandrini Alfredo 
Published: November 2020

AbstractThis study looks at the relationship between housing values (prices and rents) and the residential settlement of migrants in different neighbourhoods in Italian provincial capitals. We exploit here the high spatial resolution dataset on the settlement of migrants developed within the Data for Integration (D4I) project. The D4I information on resident population characteristics was merged with a dataset on housing values for civilian and economic residential units using boundaries defined by local housing market characteristics. The results suggest that: (1) more diverse neighbourhoods are also those with relatively lower housing values; (2) the relationship between housing values and the concentration of migrants is non-linear; and (3) the sign and significance of the association varies significantly depending on the origin of migrants.
How Good Are Modern Spatial Libraries?
Authors: Pandey Varun , van Renen Alexander , Kipf Andreas , Kemper Alfons 
Published: November 2020

AbstractMany applications today like Uber, Yelp, Tinder, etc. rely on spatial data or locations from its users. These applications and services either build their own spatial data management systems or rely on existing solutions. JTS Topology Suite (JTS), its C++ port GEOS, Google S2, ESRI Geometry API, and Java Spatial Index (JSI) are some of the spatial processing libraries that these systems build upon. These applications and services depend on indexing capabilities available in these libraries for high-performance spatial query processing. In this work, we compare these libraries qualitatively and quantitatively based on four different spatial queries using two real world datasets. We also compare these libraries with an open-source implementation of the Vantage Point Tree—an index structure that has been well studied in image retrieval and nearest-neighbor search algorithms for high-dimensional data. We found that Vantage Point Trees are very competitive and even outperform the aforementioned libraries in two queries.