bluuebunny/crossref_metadata_2025 huggingface dataset:
Copernicus Sentinel-2A Calibration and Products Validation Status
Authors: Gascon Ferran , Bouzinac Catherine , Thépaut Olivier , Jung Mathieu , Francesconi Benjamin , Louis Jérôme , Lonjou Vincent , Lafrance Bruno , Massera Stéphane , Gaudel-Vacaresse Angélique , Languille Florie , Alhammoud Bahjat , Viallefont Françoise , Pflug Bringfried , Bieniarz Jakub , Clerc Sébastien , Pessiot Laëtitia , Trémas Thierry , Cadau Enrico , De Bonis Roberto , Isola Claudia , Martimort Philippe , Fernandez Valérie
Published: June 2017

As part of the Copernicus programme of the European Commission (EC), the European Space Agency (ESA) has developed and is currently operating the Sentinel-2 mission that is acquiring high spatial resolution optical imagery. This article provides a description of the calibration activities and the status of the mission products validation activities after one year in orbit. Measured performances, from the validation activities, cover both Top-Of-Atmosphere (TOA) and Bottom-Of-Atmosphere (BOA) products. The presented results show the good quality of the mission products both in terms of radiometry and geometry and provide an overview on next mission steps related to data quality aspects.
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images
Authors: Merkle Nina , Luo Wenjie , Auer Stefan , Müller Rupert , Urtasun Raquel
Published: June 2017

Improving the geo-localization of optical satellite images is an important pre-processing step for many remote sensing tasks like monitoring by image time series or scene analysis after sudden events. These tasks require geo-referenced and precisely co-registered multi-sensor data. Images captured by the high resolution synthetic aperture radar (SAR) satellite TerraSAR-X exhibit an absolute geo-location accuracy within a few decimeters. These images represent therefore a reliable source to improve the geo-location accuracy of optical images, which is in the order of tens of meters. In this paper, a deep learning-based approach for the geo-localization accuracy improvement of optical satellite images through SAR reference data is investigated. Image registration between SAR and optical images requires few, but accurate and reliable matching points. These are derived from a Siamese neural network. The network is trained using TerraSAR-X and PRISM image pairs covering greater urban areas spread over Europe, in order to learn the two-dimensional spatial shifts between optical and SAR image patches. Results confirm that accurate and reliable matching points can be generated with higher matching accuracy and precision with respect to state-of-the-art approaches.
Mapping Spartina alterniflora Biomass Using LiDAR and Hyperspectral Data
Authors: Wang Jing , Liu Zhengjun , Yu Haiying , Li Fangfang
Published: June 2017

Large-scale coastal reclamation has caused significant changes in Spartina alterniflora (S. alterniflora) distribution in coastal regions of China. However, few studies have focused on estimation of the wetland vegetation biomass, especially of S. alterniflora, in coastal regions using LiDAR and hyperspectral data. In this study, the applicability of LiDAR and hypersectral data for estimating S. alterniflora biomass and mapping its distribution in coastal regions of China was explored to attempt problems of wetland vegetation biomass estimation caused by different vegetation types and different canopy height. Results showed that the highest correlation coefficient with S. alterniflora biomass was vegetation canopy height (0.817), followed by Normalized Difference Vegetation Index (NDVI) (0.635), Atmospherically Resistant Vegetation Index (ARVI) (0.631), Visible Atmospherically Resistant Index (VARI) (0.599), and Ratio Vegetation Index (RVI) (0.520). A multivariate linear estimation model of S. alterniflora biomass using a variable backward elimination method was developed with R squared coefficient of 0.902 and the residual predictive deviation (RPD) of 2.62. The model accuracy of S. alterniflora biomass was higher than that of wetland vegetation for mixed vegetation types because it improved the estimation accuracy caused by differences in spectral features and canopy heights of different kinds of wetland vegetation. The result indicated that estimated S. alterniflora biomass was in agreement with the field survey result. Owing to its basis in the fusion of LiDAR data and hyperspectral data, the proposed method provides an advantage for S. alterniflora mapping. The integration of high spatial resolution hyperspectral imagery and LiDAR data derived canopy height had significantly improved the accuracy of mapping S. alterniflora biomass.
Gravitation-Based Edge Detection in Hyperspectral Images
Authors: Sun Genyun , Zhang Aizhu , Ren Jinchang , Ma Jingsheng , Wang Peng , Zhang Yuanzhi , Jia Xiuping
Published: June 2017

Edge detection is one of the key issues in the field of computer vision and remote sensing image analysis. Although many different edge-detection methods have been proposed for gray-scale, color, and multispectral images, they still face difficulties when extracting edge features from hyperspectral images (HSIs) that contain a large number of bands with very narrow gap in the spectral domain. Inspired by the clustering characteristic of the gravitational theory, a novel edge-detection algorithm for HSIs is presented in this paper. In the proposed method, we first construct a joint feature space by combining the spatial and spectral features. Each pixel of HSI is assumed to be a celestial object in the joint feature space, which exerts gravitational force to each of its neighboring pixel. Accordingly, each object travels in the joint feature space until it reaches a stable equilibrium. At the equilibrium, the image is smoothed and the edges are enhanced, where the edge pixels can be easily distinguished by calculating the gravitational potential energy. The proposed edge-detection method is tested on several benchmark HSIs and the obtained results were compared with those of four state-of-the-art approaches. The experimental results confirm the efficacy of the proposed method.
Region-of-Interest Extraction Based on Local–Global Contrast Analysis and Intra-Spectrum Information Distribution Estimation for Remote Sensing Images
Authors: Zhang Libao , Wang Shiyi
Published: June 2017

Traditional saliency analysis models have made great advances in region of interest (ROI) extraction in natural scene images and videos. However, due to different imaging mechanisms and image features, those approaches are not quite appropriate for remote sensing images. Thus, we propose a novel saliency analysis and ROI extraction method for remote sensing images, which is composed of local–global contrast analysis for panchromatic images and intra-spectrum information distribution estimation (LI) for multi-spectral images. The panchromatic image is first segmented into superpixels via level set methods to reduce the subsequent computation complexity and keep region boundaries. Then, the spatially weighted superpixel intensity contrast is calculated globally to highlight superpixels unique to others and obtain the intensity saliency map. In multi-spectral images, ROIs are often included in informative superpixels; therefore, the information theory is introduced to each spectrum independently to acquire the spectrum saliency map. The final result is obtained by fusing the intensity saliency map and the spectrum saliency map and enhancing pixel-level saliency. To improve the anti-noise properties, we employ the Gaussian Pyramid for multi-scale analysis, which removes noise points by the blurring operation and the down-sampling operation. Experiments were conducted aiming at comparing the LI model with nine competing models qualitatively and quantitatively. The results show that the LI model performs better in maintaining intact ROIs with well-defined boundaries and less outside interference, and it tends to be stable when faced with images contaminated by noise.
A Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging
Authors: Zhang Yin , Zhang Yongchao , Huang Yulin , Yang Jianyu
Published: June 2017

This paper presents a sparse superresolution approach for high cross-range resolution imaging of forward-looking scanning radar based on the Bayesian criterion. First, a novel forward-looking signal model is established as the product of the measurement matrix and the cross-range target distribution, which is more accurate than the conventional convolution model. Then, based on the Bayesian criterion, the widely-used sparse regularization is considered as the penalty term to recover the target distribution. The derivation of the cost function is described, and finally, an iterative expression for minimizing this function is presented. Alternatively, this paper discusses how to estimate the single parameter of Gaussian noise. With the advantage of a more accurate model, the proposed sparse Bayesian approach enjoys a lower model error. Meanwhile, when compared with the conventional superresolution methods, the proposed approach shows high cross-range resolution and small location error. The superresolution results for the simulated point target, scene data, and real measured data are presented to demonstrate the superior performance of the proposed approach.
Aspheric Surface Measurement Using Capacitive Sensors
Authors: Yuan Daocheng , Zhao Huiying , Tao Xin , Li Shaobo , Zhu Xueliang , Zhang Chupeng
Published: June 2017

This paper proposes a new method for the measurement of spherical coordinates by using capacitive sensors as a non-contact probe solution of measurement of aspheric surfaces. The measurement of the average effect of the capacitive probe and the influence of capacitive probe tilting were studied with respect to an eccentric spherical surface. Based on the tested characteristic curve of the average effect of the sphere and probe, it was found that nonlinear and linear compensation resulted in high measurement accuracy. The capacitance probe was found to be trying to fulfill a need for performing nm-level precision measurement of aspheric electromagnetic surfaces.
Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing
Authors: Liu Jiayin , Tang Zhenmin , Cui Ying , Wu Guoxing
Published: June 2017

Remote sensing technologies have been widely applied in urban environments’ monitoring, synthesis and modeling. Incorporating spatial information in perceptually coherent regions, superpixel-based approaches can effectively eliminate the “salt and pepper” phenomenon which is common in pixel-wise approaches. Compared with fixed-size windows, superpixels have adaptive sizes and shapes for different spatial structures. Moreover, superpixel-based algorithms can significantly improve computational efficiency owing to the greatly reduced number of image primitives. Hence, the superpixel algorithm, as a preprocessing technique, is more and more popularly used in remote sensing and many other fields. In this paper, we propose a superpixel segmentation algorithm called Superpixel Segmentation with Local Competition (SSLC), which utilizes a local competition mechanism to construct energy terms and label pixels. The local competition mechanism leads to energy terms locality and relativity, and thus, the proposed algorithm is less sensitive to the diversity of image content and scene layout. Consequently, SSLC could achieve consistent performance in different image regions. In addition, the Probability Density Function (PDF), which is estimated by Kernel Density Estimation (KDE) with the Gaussian kernel, is introduced to describe the color distribution of superpixels as a more sophisticated and accurate measure. To reduce computational complexity, a boundary optimization framework is introduced to only handle boundary pixels instead of the whole image. We conduct experiments to benchmark the proposed algorithm with the other state-of-the-art ones on the Berkeley Segmentation Dataset (BSD) and remote sensing images. Results demonstrate that the SSLC algorithm yields the best overall performance, while the computation time-efficiency is still competitive.
An Energy-Aware Hybrid ARQ Scheme with Multi-ACKs for Data Sensing Wireless Sensor Networks
Authors: Zhang Jinhuan , Long Jun
Published: June 2017

Wireless sensor networks (WSNs) are one of the important supporting technologies of edge computing. In WSNs, reliable communications are essential for most applications due to the unreliability of wireless links. In addition, network lifetime is also an important performance metric and needs to be considered in many WSN studies. In the paper, an energy-aware hybrid Automatic Repeat-reQuest protocol (ARQ) scheme is proposed to ensure energy efficiency under the guarantee of network transmission reliability. In the scheme, the source node sends data packets continuously with the correct window size and it does not need to wait for the acknowledgement (ACK) confirmation for each data packet. When the destination receives K data packets, it will return multiple copies of one ACK for confirmation to avoid ACK packet loss. The energy consumption of each node in flat circle network applying the proposed scheme is statistical analyzed and the cases under which it is more energy efficiency than the original scheme is discussed. Moreover, how to select parameters of the scheme is addressed to extend the network lifetime under the constraint of the network reliability. In addition, the energy efficiency of the proposed schemes is evaluated. Simulation results are presented to demonstrate that a node energy consumption reduction could be gained and the network lifetime is prolonged.
Making STEM “Family Friendly”: The Impact of Perceiving Science Careers as Family-Compatible
Authors: Weisgram Erica S. , Diekman Amanda B.
Published: June 2017

Two studies extended the communal goal congruity perspective to examine perceived incongruity between science careers and family caregiving goals. Study 1 examined beliefs about science careers among young adolescents, older adolescents, and young adults. Science careers were perceived as unlikely to afford family goals, and this belief emerged more strongly with age cohort. Study 1 also documented that the perception that science affords family goals predicts interest in pursuing science. Study 2 then employed an experimental methodology to investigate the impact of framing a science career as integrated with family life or not. For family-oriented women, the family-friendly framing of science produced greater personal favorability toward pursuing a science career. In addition, perceived fulfilment of the scientist described predicted personal favorability toward a science career path. We discuss the implications of these findings for research and for policy.
Ingestion of an Amino Acid Electrolyte Beverage during Resistance Exercise Does Not Impact Fluid Shifts into Muscle or Performance
Authors: Smith JohnEric , Krings Ben , Peterson Timothy , Rountree Jaden , Zak Roksana , McAllister Matthew
Published: June 2017

The purpose of this study was to investigate the impact of ingesting an amino acid-electrolyte (AAE) beverage during upper body resistance exercise on transient muscle hypertrophy, exercise performance, markers of muscle damage, and recovery. Participants (n = 15) performed three sets of six repetitions—bench press, lat pull down, incline press, and seated row—followed by three sets of eight repetitions at 75% of the estimated 1 repetition maximum—triceps kickback, hammer curl, triceps push down, and preacher curl—with 90 s of rest between sets. The final set of the push down/preacher curl was performed to failure. Prior to and immediately post-exercise, as well as 24, 48, and 72 h post exercise, cross-sectional muscle thickness was measured. Blood samples were collected prior to exercise, as well as 24, 48, and 72 h post-exercise for serum creatine kinase (CK) analysis. No treatment effect was found for muscle cross-sectional area, repetitions to failure, or serum CK. A main effect (p < 0.001) was observed in the change in serum CK levels in the days following the resistance exercise session. The findings of this study suggest that the acute ingestion of a AAE beverage does not alter acute muscle thickness, performance, perceived soreness and weakness, or markers of muscle damage.
Active Recovery between Interval Bouts Reduces Blood Lactate While Improving Subsequent Exercise Performance in Trained Men
Authors: Nalbandian Harutiun M. , Radak Zsolt , Takeda Masaki
Published: June 2017

This study aimed to examine the blood lactate and blood pH kinetics during high-intensity interval training. Seventeen well-trained athletes exercised on two different occasions. Exercises consisted of three 30 s bouts at a constant intensity (90% of peak power) with 4 min recovery between bouts followed by a Wingate test (WT). The recoveries were either active recovery (at 60% of the lactate threshold intensity) or passive recovery (resting at sitting position). During the exercise, blood samples were taken to determine blood gasses, blood lactate, and blood pH, and peak and average power were calculated for the WT. When performing the active recovery trials, blood pH was significantly higher (p < 0.01) and blood lactate was significantly lower (p < 0.01) compared with the passive recovery trials. WT performance was significantly higher in the active recovery trials: peak power was 671 ± 88 and 715 ± 108 watts, and average power was 510 ± 70 and 548 ± 73 watts (passive and active respectively; p < 0.01). However, no statistically significant correlations were found between the increased pH and the increased performance in the active recovery trials. These results suggest that active recovery performed during high-intensity interval exercise favors the performance in a following WT. Moreover, the blood pH variations associated with active recovery did not explain the enhanced performance.
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea
Authors: Jeon Woongchan , Kim Kwansoo
Published: June 2017

This paper analyzes optimal weed control management strategies under static and dynamic decision rules. Seed bank is taken into account to introduce dynamics into the model. We present a numerical example of controlling Sheathed Monochoria (Monochoria Vaginalis) in Korean rice paddy fields. Our results show that producers benefit from dynamic decision rules; higher income and more control of weed density can be obtained with the same amount of herbicide. In order to illustrate the magnitude of differences between static and dynamic models, a numerical example is presented using a data set from Korean rice production. When it comes to controlling weed density, Korean rice farmers are found to be better off under the dynamic model, and the magnitude of advantages are found to be more sensitive to herbicide efficacy and less sensitive to initial seed banks and germination rates in terms of weed density.
Evaluation of the Policy of the Creative Industry for Urban Development
Authors: Liu Yu-Yun , Chiu Yin-Hao
Published: June 2017

Culture, an intellectual capital of a city, is accumulated through the intellect and wisdom of the government, citizens, businesses and other organizations. Cities regardless of their size are seeking their own distinguishing features and positions. By combining culture and creativity to improve international visibility, cities can develop new potentials, create job opportunities and boost economic growth. Therefore, cultural and creative industries have become the core industries that cities worldwide actively seek to develop; furthermore, various city governments have unanimously agreed that the creative industry will effectively improve urban economic competitiveness. This study investigated how the creative industry improved urban competitiveness, developed relevant assessment indexes and formulated policies for developing the creative industry. First, the fuzzy Delphi method was adopted to determine the indexes for assessing the creative industry’s positive influence on urban competitiveness. Subsequently, the analytic hierarchy process and the analytic network process were integrated to establish a model for assessing city-based creative industry development policies. City governments seeking to promote such policies can refer to this model. Finally, an importance-performance analysis was performed to investigate the satisfaction for policies related to creative industries, providing a reference for governments to promote pertinent policies. The results of this study indicated that the indexes of innovation capability, industrial cooperation, innovation incubation and industry-government-academia integration are crucial bases for cities to develop the creative industry. In addition, the policies of industrial R&D and clustering, talent training and industrial consulting and expanding industrial and marketing channels and networks can be adopted to enhance creative industry development.
Random Walker Coverage Analysis for Information Dissemination in Wireless Sensor Networks
Authors: Skiadopoulos Konstantinos , Giannakis Konstantinos , Oikonomou Konstantinos
Published: June 2017

The increasing technological progress in electronics provides network nodes with new and enhanced capabilities that allow the revisit of the traditional information dissemination (and collection) problem. The probabilistic nature of information dissemination using random walkers is exploited here to deal with challenges imposed by unconventional modern environments. In such systems, node operation is not deterministic (e.g., does not depend only on network nodes’ battery), but it rather depends on the particulars of the ambient environment (e.g., in the case of energy harvesting: sunshine, wind). The mechanism of information dissemination using one random walker is studied and analyzed in this paper under a different and novel perspective. In particular, it takes into account the stochastic nature of random walks, enabling further understanding of network coverage. A novel and original analysis is presented, which reveals the evolution network coverage by a random walker with respect to time. The derived analytical results reveal certain additional interesting aspects regarding network coverage, thus shedding more light on the random walker mechanism. Further analytical results, regarding the walker’s spatial movement and its associated neighborhood, are also confirmed through experimentation. Finally, simulation results considering random geometric graph topologies, which are suitable for modeling mobile environments, support and confirm the analytical findings.
Prevalence, Variability and Bioconcentration of Saxitoxin-Group in Different Marine Species Present in the Food Chain
Authors: Oyaneder Terrazas Javiera , Contreras Héctor , García Carlos
Published: June 2017

The saxitoxin-group (STX-group) corresponds to toxic metabolites produced by cyanobacteria and dinoflagellates of the genera Alexandrium, Gymnodinium, and Pyrodinium. Over the last decade, it has been possible to extrapolate the areas contaminated with the STX-group worldwide, including Chile, a phenomenon that has affected ≈35% of the Southern Pacific coast territory, generating a high economic impact. The objective of this research was to study the toxicity of the STX-group in all aquatic organisms (bivalves, algae, echinoderms, crustaceans, tunicates, cephalopods, gastropods, and fish) present in areas with a variable presence of harmful algal blooms (HABs). Then, the toxic profiles of each species and dose of STX equivalents ingested by a 60 kg person from 400 g of shellfish were determined to establish the health risk assessment. The toxins with the highest prevalence detected were gonyautoxin-4/1 (GTX4/GTX1), gonyautoxin-3/2 (GTX3/GTX2), neosaxitoxin (neoSTX), decarbamoylsaxitoxin (dcSTX), and saxitoxin (STX), with average concentrations of 400, 2800, 280, 200, and 2000 µg kg−1 respectively, a species-specific variability, dependent on the evaluated tissue, which demonstrates the biotransformation of the analogues in the trophic transfer with a predominance of α-epimers in all toxic profiles. The identification in multiple vectors, as well as in unregulated species, suggests that a risk assessment and risk management update are required; also, chemical and specific analyses for the detection of all analogues associated with the STX-group need to be established.
UK Pigs at the Time of Slaughter: Investigation into the Correlation of Infection with PRRSV and HEV
Authors: Frossard Jean-Pierre , Grierson Sylvia , Cheney Tanya , Steinbach Falko , Choudhury Bhudipa , Williamson Susanna
Published: June 2017

Hepatitis E virus (HEV) and porcine reproductive and respiratory syndrome virus (PRRSV) and are both globally prevalent in the pig population. While HEV does not cause clinical disease in pigs, its zoonotic potential has raised concerns in the food safety sector. PRRS has become endemic in the United Kingdom (UK) since its introduction in 1991, and continues to cause considerable economic losses to the swine industry. A better understanding of the current prevalence and diversity of PRRSV and HEV in the UK, and their potential association, is needed to assess risks and target control measures appropriately. This study used plasma, tonsil, and cecal content samples previously collected from pigs in 14 abattoirs in England and Northern Ireland to study the prevalence of several pathogens including PRRSV and HEV. The diversity of PRRSV strains detected in these samples was analyzed by sequencing open reading frame 5 (ORF5), revealing no substantial difference in PRRSV strains from these clinically unaffected pigs relative to those from clinical cases of disease in the UK. Despite the potential immuno-modulatory effect of PRRSV infection, previously demonstrated to affect Salmonella and HEV shedding profiles, no significant association was found between positive PRRSV status and positive HEV status.
Learnability and falsifiability of Construction Grammars
Authors: Dunn Jonathan
Published: June 2017

The strength of Construction Grammar (CxG) is its descriptive power; its weakness is the learnability and falsifiability of its unconstrained representations. Learnability is the degree to which the optimum set of constructions can be consistently selected from the large set of potential constructions; falsifiability is the ability to make testable predictions about the constructions present in a dataset. This paper uses grammar induction to evaluate learnability and falsifiability: given a discovery-device CxG and a set of observed utterances, its learnability is its stability over sub-sets of data and its falsifiability is its ability to predict a CxG.
Raising or control? Children's early get-passives
Authors: Gotowski Megan
Published: June 2017

This research study examines children’s comprehension of the get-passive, to determine (i) what age the get-passive is acquired, (ii) how children perform with ‘get’ relative to ‘be’, and (iii) what structure(s) children assign to the get-passive. We argue that the results of two experiments (with children around 3-4 years to 6 years) indicate that young children may initially assume a causative/control analysis of the get-passive, allowing them to comprehend those that have animate subjects alone. By around age 4, children comprehend both actional get- and be-passives, and interpret the by-phrase as containing the agent of the action.
A pilot acoustic study of Modern Persian vowels in colloquial speech
Authors: Aronow Robin , McHugh Brian D. , Molnar Tessa
Published: June 2017

While the current literature on Modern Persian (MP) shows heightened interest in its vowel inventory, a cogent synchronic account of Modern Persian vowels (MPV) has yet to be presented. Previous phonological descriptions of MPV presuppose a pairing system based on a historical length distinction that is still reflected in MP orthography: /i:, e/, /u:, o/, /ɒ:, æ/. A synchronic phonological analysis of MPV must be based on phonetic measurements; however, existing acoustic studies examine only formal speech, and thus do not reflect colloquial surface forms. Therefore, the goal of this investigation is to lay the groundwork for a comprehensive acoustic study of MPV that presupposes no pairings and is based on colloquial speech in a controlled prosodic environment. Vowel duration and first and second formants were measured using Praat for 90 CVC(C) monosyllables as pronounced phrase-finally in carrier sentences by two Tehrani native speakers: one male, one female. Results show that average durations for each vowel contradicted the traditional length-based pairings. Furthermore, features of the following phonological environment likely to affect vowel length — postvocalic consonant type, coda complexity (CVC vs. CVCC), and adherence to the Sonority Sequencing Principle in complex codas — had no notable effect. Results of formant measurements show the two non-high back vowels to be higher than expected, whereas the high back vowel was noticeably centralized.
Clause-final particles and focus in Eastern Cham
Authors: Baclawski Jr. Kenneth
Published: June 2017

We demonstrate that clause-final particles in Eastern Cham (Austronesian: Vietnam) are right-branching syntactic heads that trigger predicate raising. This provides support for Simpson (2001)’s analysis of a clause-final modal found in Vietnamese, Thai, and other Southeast Asian languages, and militates against a mixed-headed analysis (pace Kayne 1994). Evidence for predicate raising comes from a novel diagnostic: the interaction between focus-driven object shift and multiple clause-final particles in one clause. Finally, we propose that clause-final particles are VP-level focus phrases, which divide a sentence into a focus and presupposition (cf. Rizzi 1997) and incidentally contribute modal or aspectual semantics.
Kashaya [asp] assimilation and dissimilation by correspondence
Authors: Buckley Eugene
Published: June 2017

An aspirated stop in a Kashaya prefix becomes a plain voiceless stop by dissimilation when the root begins with an aspirate; but it also assimilates to an unaspirated stop in the same position. The OCP cannot help with assimilation, so I propose a unified analysis of the two phenomena within Agreement by Correspond­ence (Rose & Walker 2004, Bennett 2013). Unlike somewhat similar cases in the literature with both assimilation and dissimilation, here there is no structural difference. I posit a conjoined constraint that penalizes an initial aspirate in a correspondence relation; the rest follows from standard ABC assumptions.
English comparatives as degree-phrase relative clauses
Authors: McCoy Richard Thomas
Published: June 2017

It has been observed (e.g. Chomsky 1977) that English questions allow wh-movement of adjective phrases, but relative clauses do not, which is cited as a notable difference between two types of constructions that are otherwise very similar. However, I argue that relative clauses actually can arise from the whmovement of adjective phrases (which I here treat as degree phrases headed by a degree element) and that comparative clauses are the result; i.e., comparatives are actually relative clauses headed by degree phrases. This analysis removes the discrepancy between questions and relative clauses with regard to adjective movement, thereby further uniting the syntactic analysis of the two constructions.
Stages of language shift in twentieth-century Inner Mongolia
Authors: Puthuval Sarala
Published: June 2017

Mongolian as a minority language in China is losing speakers, although several million remain in China’s Inner Mongolia Autonomous Region. The case of 20th-century Inner Mongolia is an example of the long-term processes that may precede language endangerment. This paper takes Fishman’s (1991) notion of language shift as a decline in intergenerational mother tongue transmission and formalizes it for quantitative research, applying the methodology to a retrospective survey of intergenerational language transmission concerning over 600 Inner Mongolians born between 1922 and 2007. Results show that bilingualism with Chinese has penetrated the entire Mongolian-speaking population, but has not thus far precipitated massive language shift.
The influence of second language vowels on foreign language vowel perception
Authors: Balas Anna
Published: June 2017

This paper examines the limits of feature abstraction and the influence of second language vowels on foreign vowel perception (cf. Pajak and Levy 2014). Perception of Dutch vowels by Polish students of English and French and Dutch was assessed using categorization tasks with goodness ratings. Dutch front rounded vowels were identified predominantly as front vowels by learners of French and Dutch and as back vowels by learners of English.The results suggest that the hypothesis about selective attention to features should incorporate markedness and that experience with second language front rounded vowels is enough to trigger disentangling rounding from backness.
Toponyms: Neglected wallflower or pot of lenty
Authors: Schaefer Ronald P
Published: June 2017

Threats of imminent extinction motivate language documentation; they also allow place name neglect. This paper examines settlement names within Africa’s Edoid group. Village nomenclature converges on a restricted range of conventions; however, interethnic contact has led to non-Edoid toponyms for three villages. Two derive from the trade language Hausa. A third links to Igbo blacksmiths supporting rainforest penetration with iron tools, as is evident in cognate vocabulary. Iron use most naturally follows a pastoral era outside the rainforest, which number prefixes on herd-animal nouns support. Toponymic studies thus remind us of the benefit accrued when documentation looks beyond “the single ancestral code.”
The emergence of Brazilian Portuguese: Earlier evidence for the development of a partial null subject grammar
Authors: Borges Humberto , Pires Acrisio
Published: June 2017

Brazilian Portuguese (henceforth, BP) is currently analyzed as a partial null subject language (NSL). This work shows the earliest attested changes in the properties of null subjects in the Goiás dialect of Brazilian Portuguese. We analyze original data from colonial period manuscripts written in Goiás, a state located in Brazil’s center-west region, and provide empirical evidence of the loss of null subjects in BP grammars in historical data between the 18th and 19th century, preceding the period for which these changes have been reported regarding other dialects of BP. The analysis of our 18th and 19th century corpus shows an early significant rise in the realization of overt subjects. In addition, the loss of verb-subject (VS) free inversion, a property common to NSLs, drops from 57% in the 18th century to only 22.5% in the 19th century. On the other hand, a potential impoverishment of theverbal paradigm did not play a significant role in this early rise of overt subjects: only 15% of the clauses with a plural external argument in the 19th century data did not show overt agreement between the verb and the external argument, and all of them occur strictly with unaccusative or existential verbs. We take this as evidence that the loss of null subjects in BP was primarily linked to the loss of free VS-inversion, and not to the loss of clausal agreement. We propose that D-feature in T (an EPP-feature) was valued by V-movement to T in the 18th century, yielding a consistent NSL (Holmberg 2010). We argue that the loss of the requirement of the D-feature in T(tense) was a primary trigger for the partial loss of null subjects and parallel loss of free inversion from the 18th to the 19th century in Goiás BP, giving then rise to a partial NSL (without a D-feature in T).
FLEXURAL REINFORCED CONCRETE ELEMENTS NORMAL SECTION BEARING CAPACITY EVALUATION IN FRACTURE STAGE
Authors: SLAITAS Justas , HLAVAC Zbynek , ŠNEIDERIS Arnoldas
Published: June 2017

This article examines flexural reinforced concrete structures condition assessment process in existing buildings on the stage where the reinforcement stress is between the yield and the tensile strength. The research is made on V. Jokūbaitis proposed methodology directly measuring the compression zone height, allowing us to evaluate the behavior of reinforced concrete beam fracture sufficiently precisely. This paper confirms the hypothesis that, when reinforcement reaches yielding stress, elastic strain dominates in concrete‘s compression zone and it is reasonable to use triangular concrete compression zone diagram, without tensile concrete above crack evaluation. The methodology of reinforced concrete structures bearing capacity assessment according to limit normal section crack depth is proposed. There is established connection between bending moments, when reinforcement achieve yielding stress and tensile strength, which allows us to decide about structures bearing capacity reserve. The results are confirmed with experimental studies and calculated values obtained by methodologies based on different reduced stress diagrams of concrete‘s compressive zone.
Magnetospheric Truncation, Tidal Inspiral, and the Creation of Short-period and Ultra-short-period Planets
Authors: Lee Eve J. , Chiang Eugene
Published: June 2017

Sub-Neptunes around FGKM dwarfs are evenly distributed in log orbital period down to ∼10 days, but dwindle in number at shorter periods. Both the break at ∼10 days and the slope of the occurrence rate down to ∼1 day can be attributed to the truncation of protoplanetary disks by their host star magnetospheres at corotation. We demonstrate this by deriving planet occurrence rate profiles from empirical distributions of pre-main-sequence stellar rotation periods. Observed profiles are better reproduced when planets are distributed randomly in disks—as might be expected if planets formed in situ—rather than piled up near disk edges, as would be the case if they migrated in by disk torques. Planets can be brought from disk edges to ultra-short (<1 day) periods by asynchronous equilibrium tides raised on their stars. Tidal migration can account for how ultra-short-period planets are more widely spaced than their longer-period counterparts. Our picture provides a starting point for understanding why the sub-Neptune population drops at ∼10 days regardless of whether the host star is of type FGK or early M. We predict planet occurrence rates around A stars to also break at short periods, but at ∼1 day instead of ∼10 days because A stars rotate faster than stars with lower masses (this prediction presumes that the planetesimal building blocks of planets can drift inside the dust sublimation radius).
Active Galactic Nuclei with a Low-metallicity Narrow-line Region
Authors: Kawasaki Kota , Nagao Tohru , Toba Yoshiki , Terao Koki , Matsuoka Kenta
Published: June 2017

Low-metallicity active galactic nuclei (AGNs) are interesting to study for the early phase of AGN evolution. However, most AGNs are chemically matured, and accordingly, low-metallicity AGNs are extremely rare. One approach to search for low-metallicity AGNs systematically is utilizing the so-called BPT diagram that consists of the [O iii]λ5007/Hβ

and [N ii]

/Hα

flux ratios. Specifically, photoionization models predict that low-metallicity AGNs show a high [O iii]λ5007/Hβλ4861 ratio and a relatively low [N ii]λ6584/Hαλ6563 ratio that corresponds to the location between the sequence of star-forming galaxies and that of usual AGNs on the BPT diagram (hereafter “the BPT valley”). However, other populations of galaxies such as star-forming galaxies and AGNs with a high electron density or a high-ionization parameter could be also located in the BPT valley, not only low-metallicity AGNs. In this paper, we examine whether most of the emission-line galaxies at the BPT valley are low-metallicity AGNs or not. We select 70 BPT-valley objects from 212,866 emission-line galaxies obtained by the Sloan Digital Sky Survey. Among the 70 BPT-valley objects, 43 objects show firm evidence of the AGN activity, i.e., the He ii
λ4686 emission and/or weak but significant broad Hα emission. Our analysis shows that those 43 BPT-valley AGNs are not characterized by a very high gas density nor ionization parameter, inferring that at least 43 among 70 BPT-valley objects (i.e.,

%) are low-metallicity AGNs. This suggests that the BPT diagram is an efficient tool to search for low-metallicity AGNs.
Collaborative Learning and Assessment of Science
Authors: Rosen Yigal
Published: June 2017

In order to understand potential applications of collaborative problem solving (CPS) assessment tasks, it is necessary to examine empirically the multi-faceted student performance that may be distributed across collaboration methods and purposes of the assessment. Ideally, each student should be matched with various types of group members and must apply the skills in varied contexts and tasks. One solution to these assessment demands is to use computer-based (virtual) agents to serve as the collaborators in the interactions with students. This paper proposes human-to-agent (H-A) approach for formative CPS assessment and describes an international pilot study aimed to provide preliminary empirical findings on the use of H-A CPS assessment to inform collaborative learning. Overall, the findings showed promise in terms of using H-A CPS assessment task as a formative tool for structuring effective groups in the context of CPS online learning.
Simulations in Chemistry for Conceptual Understanding and Assessment of Student Knowledge
Authors: Gupta Tanya , Ziolkowski Zachary P. , Albing Gregory , Mehta Akash
Published: June 2017

Simulations are dynamic resources that have been found useful for communicating abstract fundamental ideas such as stoichiometry and several other concepts. In this chapter the authors present their recent work on designing and implementing an interactive simulation called Combustion Lab based on reaction stoichiometry - a topic that has continually been a challenge for chemistry learners. Several researchers have reported persistent student misconceptions in stoichiometry. In order to address this challenge, a novel computer simulation was developed to assess student understandings of stoichiometry based on student problem solving performance, and also to promote student conceptual understanding. The Combustion lab was particularly focused on the stoichiometry of these reactions, problem solving, and the relevance of stoichiometry for its everyday applications. Results of this sequential exploratory study show that the simulation was effective in revealing student understanding and student treatment of stoichiometry problems based on analysis of various data collected.
The Use of Tablet Technology to Support Inquiry Science for Students Incarcerated in Juvenile Justice Settings
Authors: Krezmien Michael , Powell Wardell , Bosch Christina , Hall Tracey , Nieswandt Martina
Published: June 2017

This chapter describes the challenges in implementing science instruction in juvenile corrections settings and present a tablet-based model for meeting the complex challenges. Project RAISE is a Project-based Inquiry Science (PBIS) curriculum designed in the Universal Design for Learning framework. It is developed in a tablet platform, and is designed to meet the unique needs of incarcerated learners. The chapter describes the juvenile justice educational setting, the characteristics of the classrooms, the learners, and the teachers. It provides an overview of one iBook that has been co-designed and tested with incarcerated learners.
Using Data Analytics to Foster the Instructional Quality of Online Education
Authors: Mandernach B. Jean
Published: June 2017

The growth of online learning has spurred interest in how administrators can (and should) utilize data to drive teaching evaluations, decision-making and program oversight. Within the realm of higher education administration, online learning programs offer a distinct advantage over their campus-based counterparts: tangible artifacts. The reality of online teaching and learning is that every interaction creates a digital footprint of the teaching-learning dynamic. While researchers have actively explored how the data from these digital footprints can be used to enhance student learning, less attention has been given to how administrators can utilize data analytics to foster the instructional quality of online education. Beyond learning analytics, teaching analytics provide valuable insights that allow administrators to efficiently evaluate the quality of online teaching, proactively support faculty, and make informed program oversight decisions to maximize the online learning experience.
Academics Mining for Information Analytics as a Method in Improving Student Performance Through Effective Learning Strategies
Authors: De Guzman Froilan , Abaya Sheila , Benito Vince , Chua Irish Mae
Published: June 2017

Academic analytics in Higher Education Institutions (HEIs) through the promising technology of Data Mining (DM) is considered as the fastest method of generating knowledge discovery in the voluminous student digital data. Applying DM in the area of education will improve the performance of student and with the mined results; it can help educators to devise better teaching strategies for effective student learning. Knowledge discovery in student data can generate possible model for academic planners and educators for the institutional systemic change by improving the teaching, learning, and decision making strategy. Insights and predictive models can also be derived in identifying student performance and success rate. Several DM techniques can be listed and used in higher education such as clustering, classification, visualization, and association analysis. However, the research has emphasis on the technique of clustering using the modified K-Means Algorithm. The silhouette coefficient was incorporated in the K-Means algorithm for automatic direct cluster determination. The result showed that modification of the simple K-Means clustering algorithm through the use of silhouette coefficient achieved the same result in identifying the number of cluster with fewer burdens in the user subjective determination of cluster.
Blended Learning
Authors: Russell Mark B. , Woon Irene M. Y. , Hatzipanagos Stylianos
Published: June 2017

Blended Learning should be a deliberately-designed and pedagogically-informed endeavour. Blended Learning integrates (blends) face-to-face learning environments with online learning environments so that learning can occur anyplace and anytime and can transcend the physical boundaries of traditional face-to-face settings. Moving towards successful blended learning does not happen by chance. It requires educational leadership and a supportive change management strategy. Such a strategy should include a vision for innovation, plans for diffusing the innovations and the provision of advice and guidance to faculty and administrators. The chapter offers examples of what is possible through the genre of ‘Cluster Scenarios' and explores some implications for adopting a blended learning strategy for faculty and administrators.
The Role of Learning Management Systems in the Administration of a Multi-Section Course
Authors: Scott Devin , Anderson Lindsey B. , Gardner Elizabeth E. , Wolvin Andrew D. , Straker Rowena Kirby
Published: June 2017

This chapter will examine how course administrators of multi-section classes can use learning management systems (LMSs) to create consistency, support instructors, and enhance the student learning experience. The authors draw upon their experience using a campus-wide LMS to illustrate the ways in which this technology can be used to enhance the teaching/learning experience. Specifically, they detail the development of a master course page and distribution of common course materials. In turn, the focus on consistency created new assessment opportunities through learning analytics.