bluuebunny/crossref_metadata_2025_split huggingface dataset:
Similar biomechanical properties of four tripled tendon graft models for ACL reconstruction
Authors: Pavan Davide , Morello Federica , Monachino Francesco , Rovere Giuseppe , Camarda Lawrence , Pitarresi Giuseppe 
Published: August 2021

Abstract
Purpose
The present study tested and compared the biomechanical properties of four different triplicate graft tendon techniques.

Methods
32 tripled tendons from the common extensor muscle of bovine fingers were tested on a material testing machine, passing the end loop over a metal rod of a clevis connected to the load cell on the upper side, and fixing the lower end to a clamp. The samples were divided into four groups: (A) tripled with a free end sutured only to one of the two fixed bundles (B) tripled with a free end positioned between the two fixed strands and sutured to both (C) tripled with an S-shape and all the three strands sutured together at the upper and lower extremities of the graft (D) partially quadrupled with the free end sutured together with the other three bundles at the upper extremity. Each sample was pretensioned at 50 N for 10 min and then subjected to 1000 load control cycles between 50 and 250 N. Finally, each sample was subjected to a load to failure test.
Authors also present some preliminary results on the feasibility of a non-contact and full-field Thermoelastic Stress Analysis technique, based on Infrared Thermography, to evaluate the level of stress on the whole graft, and hence on each strand, during fatigue loading.

Results
Eighty five percent of the samples failed at the level of the clamp. The cyclical elongation progressively decreased in all the samples and there was a simultaneous increase in stiffness. An increased stiffness was noted between Group 2 vs Group 3 and Group 2 vs Group 4 at the 500th and 1000th cycle. The failure loads were as follows: (a) 569.10 N, (b) 632.28 N, (c) 571.68 N, (d) 616.95 N. None of the parameters showed a statistically significant difference between the four groups.

Conclusion
This study reported similar biomechanical behavior of four different models of tripled grafts suitable for ACL reconstruction. In addition, the biomechanics of overall tripled tendon grafts seems more affected by the viscoelastic property of the tendon itself rather than the preparation method.
A novel keyframe extraction method for video classification using deep neural networks
Authors: Savran Kızıltepe Rukiye , Gan John Q. , Escobar Juan José 
Published: August 2021

AbstractCombining convolutional neural networks (CNNs) and recurrent neural networks (RNNs) produces a powerful architecture for video classification problems as spatial–temporal information can be processed simultaneously and effectively. Using transfer learning, this paper presents a comparative study to investigate how temporal information can be utilized to improve the performance of video classification when CNNs and RNNs are combined in various architectures. To enhance the performance of the identified architecture for effective combination of CNN and RNN, a novel action template-based keyframe extraction method is proposed by identifying the informative region of each frame and selecting keyframes based on the similarity between those regions. Extensive experiments on KTH and UCF-101 datasets with ConvLSTM-based video classifiers have been conducted. Experimental results are evaluated using one-way analysis of variance, which reveals the effectiveness of the proposed keyframe extraction method in the sense that it can significantly improve video classification accuracy.
Corporate Green Bonds: Understanding the Greenium in a Two-Factor Structural Model
Authors: Agliardi Elettra , Agliardi Rossella 
Published: August 2021

AbstractA novel structural model is developed to understand the determinants of green bond prices and the so-called ‘greenium’, that is, the premium that bondholders are willing to pay to invest in green securities rather than conventional ones. The presence of a greenium makes green bonds relatively cheap vehicles to fund environmentally sustainable projects and thus contributes to the shift to a green economy. Yet, evidence on the greenium is mixed and the determinants of green bond yields are not fully understood. In this model two sources of uncertainty are introduced, that is, of cash flows of the firm and of the effectiveness of the financed green projects. The adoption of two risk factors brings in some mathematical complexity but allows for a better modelling of the multi-facet nature of these financial instruments. Our model is rich enough to generate both a positive and a negative premium, as both have been detected in the empirical literature. Thus, we shed light on possible heterogeneity concerning the existence of a greenium in the green bond universe. Moreover, we show how green bonds affect the issuer’s creditworthiness, depending on the correlation of the green project with the core business of the firm and study their impact on investors’ portfolio allocation.
Mobile microphone robust acoustic feature identification using coefficient of variance
Authors: Hashim Nik Nur Wahidah Nik , Ezzi Mugahed Al-Ezzi Ahmed , Wilkes Mitchell D. 
Published: August 2021

AbstractOne of the most challenging techniques for speech analysis applications in mobile phones is acoustic feature extraction. The adverse environment noises, diversity of microphone specifications, and various recording software have a significant effect on the values of the extracted acoustic features. In this study, we investigate the robustness of different types of acoustic features related to time-based, frequency-based, and sustained vowel using 11 different mobile recording devices. 49 recordings of subjects reciting the Rainbow Passage and 25 recordings of sustained vowel /a/ were collected. By way of synchronous recording, we analyzed and compared the extracted 253-dimensional acoustic feature vectors in order to examine how consistent the data values between the different recording devices. The variability of data values was measured using the method of coefficient of variance. Data values with low variability were identified to be from features such as the transition parameters, amplitude modulation, contrast, Chroma, mean fundamental frequency and formants. These groups of features turn out to be more reliable than others in their dependency on the recording device specifications.
Social categories in the making: construction or recruitment?
Authors: Reijula Samuli 
Published: August 2021

AbstractReal kinds, both natural and social categories, are characterized by rich inductive potential. They have relatively stable sets of conceptually independent projectable properties. Somewhat surprisingly, even some purely social categories (e.g., ethnicity, gender, political orientation) show such multiple projectability. The article explores the origin of the inductive richness of social categories and concepts. I argue that existing philosophical accounts provide only a partial explanation, and mechanisms of boundary formation and stabilization must be brought into view for a more comprehensive account of inductively rich social categories.
Effect of drying, blanching, pickling and maceration on the fate of 40K, total K and 137Cs in bolete mushrooms and dietary intake
Authors: Falandysz Jerzy , Meloni Daniela , Fernandes Alwyn R. , Saniewski Michał 
Published: August 2021

AbstractThe effects of blanching, blanching and pickling and maceration on the leaching of 137Cs and 40K from the flesh of three edible bolete mushroom species—Boletus edulis, Leccinum scabrum and Leccinum versipelle—were investigated. Significant (p < 0.05) decreases in activity were observed but varied depending on the treatment. Relative to fresh mushrooms, blanching decreased the activity concentration of 137Cs by 15 ± 13%, and of 40K, by 16 ± 7%, but blanching and pickling (vinegar) reduced activity more effectively, by 55 ± 8% and 40 ± 20% respectively. The corresponding losses of 137Cs and 40K through maceration of dried, powdered mushrooms were 38 ± 11% and 35 ± 14% ww, respectively. These results indicate that traditional domestic processing methods may not be as efficient at excluding 137Cs radioactivity as shown in some other studies. The activity concentration of 137Cs in a typically sized (100 g) portion of a processed mushroom (sourced from nearshore regions of the southern Baltic Sea coast near Gdańsk in 2015) meal was projected to be low, i.e. in the range of 0.51 to 12 Bq kg−1 ww. The corresponding effective dose of 137Cs from blanched, blanched and pickled and macerated mushrooms per capita was also assessed to be low, from 0.001 to 0.010 μSv. Nutritionally, the median concentration of potassium (330 mg) in 100 g portions of blanched or pickled mushrooms would account for around 7% of the adequate adult daily intake.
Graphical abstract
Whole-body magnetic resonance imaging (WB-MRI) for cancer screening: recommendations for use
Authors: Petralia Giuseppe , Zugni Fabio , Summers Paul E. , Colombo Alberto , Pricolo Paola , Grazioli Luigi , Colagrande Stefano , Giovagnoni Andrea , Padhani Anwar R. ,   On behalf of the Italian Working Group on Magnetic Resonance
Published: August 2021

AbstractWhole-body magnetic resonance imaging (WB-MRI) is currently recommended for cancer screening in adult and paediatric subjects with cancer predisposition syndromes, representing a substantial aid for prolonging health and survival of these subjects with a high oncological risk. Additionally, the number of studies exploring the use of WB-MRI for cancer screening in asymptomatic subjects from the general population is growing. The primary aim of this review was to analyse the acquisition protocols found in the literature, in order to identify common sequences across published studies and to discuss the need of additional ones for specific populations. The secondary aim of this review was to provide a synthesis of current recommendations regarding the use of WB-MRI for cancer screening.
Analysing Diversion Processes in German Secondary Education: School-Track Effects on Educational Aspirations
Authors: Bittmann Felix , Schindler Steffen 
Published: August 2021

AbstractEducational aspirations can be regarded as a predictor of final educational attainment, rendering this construct highly relevant for analysing the development of educational inequalities in panel data settings. In the context of the German tracked secondary school system, we analysed school-track effects on the development of educational aspirations. Using data from five consecutive waves of the National Educational Panel Study (NEPS), we selected a sample of high-performing students with initially high aspirations. Our results indicate that pupils in the nonacademic track or with a low social origin tend to lower their aspirations significantly more often than pupils in the academic track or pupils with a high social origin. With mediation analyses, we demonstrate that these differences can be attributed to learning environments at the school level. We also show that the downward adjustment of aspirations in the nonacademic track is less pronounced for students from highly educated families than for students from low-education family backgrounds.
High-Sensitive Numerical Gas Detection Using LSPR Effect and Fano Resonance in a Slotted MDM Structure
Authors: Liu Hai , Zhao Benlei , Zhang Xu , Zhang Hancheng , Wu Bo , Tang Shoufeng 
Published: August 2021

AbstractA high-sensitive numerical measurement of methane based on the combined use of the localized surface plasmon resonance (LSPR) and Fano resonance in a slotted metal-dielectric-metal (MDM) periodic structure is numerically investigated. A groove is etched in an original MDM structure to excite the diploe mode at both sides of the groove, and the coherent coupling of two dipole modes is enhanced to realize a fast response, which is beneficial to gas-sensing. The influence of geometric parameters on the reflection spectra and methane sensitivity are analyzed to obtain optimal geometry. Moreover, an etching ring is introduced on the top metal to further raise the coupling area and coupling strength. The Fano resonance is subtly integrated into the optimized structure with asymmetry to achieve greater gas sensitivity. After the introduction of the Fano resonance, the field enhancement caused by the LSPR effect becomes greater and the methane sensitivity can reach up to 8.421 nm/% in numerical calculations, which increases 56.8% more than that of the original one. The combined use of the LSPR and Fano resonance in an optimized MDM structure provides an effective method for high-sensitive gas detection.
Testing General Relativity with black hole X-ray data: a progress report
Authors: Bambi Cosimo 
Published: August 2021

AbstractEinstein’s theory of General Relativity is one of the pillars of modern physics. For decades, the theory has been mainly tested in the weak field regime with experiments in the Solar System and observations of binary pulsars. Thanks to a new generation of observational facilities, the past 5 years have seen remarkable changes in this field and there are now numerous efforts for testing General Relativity in the strong field regime with black holes and neutron stars using different techniques. Here I will review the work of my group at Fudan University devoted to test General Relativity with black hole X-ray data.
Initial logarithmic coefficients for functions starlike with respect to symmetric points
Authors: Zaprawa Paweł 
Published: August 2021

AbstractIn this paper, we obtain the bounds of the initial logarithmic coefficients for functions in the classes $${\mathcal {S}}_S^*$$

S
S
∗

and $${\mathcal {K}}_S$$

K
S

of functions which are starlike with respect to symmetric points and convex with respect to symmetric points, respectively. In our research, we use a different approach than the usual one in which the coeffcients of f are expressed by the corresponding coeffcients of functions with positive real part. In what follows, we express the coeffcients of f in $${\mathcal {S}}_S^*$$

S
S
∗

and $${\mathcal {K}}_S$$

K
S

by the corresponding coeffcients of Schwarz functions. In the proofs, we apply some inequalities for these functions obtained by Prokhorov and Szynal, by Carlson and by Efraimidis. This approach offers a additional benefit. In many cases, it is easily possible to predict the exact result and to select extremal functions. It is the case for $${\mathcal {S}}_S^*$$

S
S
∗

and $${\mathcal {K}}_S$$

K
S

.
Bulk and compound-specific δ13C and n-alkane indices in a palustrine intermontane record for assessing environmental changes over the past 320 ka: the Padul Basin (Southwestern Mediterranean realm)
Authors: Ortiz José E. , Torres Trinidad , Delgado Antonio , Valle Maruja , Soler Vicente , Araujo Rafael , Rivas María R. , Julià Ramón , Sánchez-Palencia Yolanda , Vega-Panizo Rogelio 
Published: August 2021

AbstractHere we provide valuable information about the palaeoenvironmental evolution of Southwestern Mediterranean region during the last ca. 320 ka through a biomarker-based study of the longest continuous continental Quaternary record in the Iberian Peninsula. The n-alkane content and δ13C values of these lipids were measured in 300 samples taken from the uppermost 55 m of the Padul Basin (PB) record. The δ13C signal of long-chain n-alkanes was a reliable proxy for C4/C3 terrestrial vegetation composition in the basin, as emergent macrophytes made a minor contribution to these homologues. In contrast, the δ13C values of C23 and C25 alkanes reflected mainly phases of increasing water level of the lacustrine/palustrine water body since aquatic macrophytes contain a large proportion of these compounds. Low δ13C values were attributed to a marked contribution of plants using the C3 photosynthetic pathway. Intervals with the lowest δ13C values were attributed to an important input of angiosperms, although they could also be explained by changing environmental conditions or environmental stress, as large shifts in δ13C occurred in long-chain homologues typically abundant in terrestrial plants. Shifts in δ13C of medium-chain homologues reflected limited CO2 availability induced by water temperature, salinity, pH, enhanced productivity, low atmospheric pCO2, or stagnant barriers, rather than the abundance of aquatic macrophytes. Our results also suggest enhanced isotopic fractionation during lipid synthesis by aquatic macrophytes within MIS 7 and the Holocene, leading to increased δ13C values of bulk OM and of long-chain n-alkanes. Hence, the δ13C logs were ideal for studying the contribution of aquatic macrophytes to the lipid and isotopic composition of sediments and for the reconstruction of palaeoenvironmental conditions. These results confirmed that C4 plants had a low presence in the PB. Comparison with biomarker analysis and pollen data of the PB and other records of the Southwestern Mediterranean revealed that δ13C values of bulk OM and of long-chain n-alkanes reflected global climatic oscillations during MIS 7 and the episodes Heinrich Events 3, 2, 1 and Younger Dryas.
Quantum-accessible reinforcement learning beyond strictly epochal environments
Authors: Hamann A. , Dunjko V. , Wölk S. 
Published: August 2021

AbstractIn recent years, quantum-enhanced machine learning has emerged as a particularly fruitful application of quantum algorithms, covering aspects of supervised, unsupervised and reinforcement learning. Reinforcement learning offers numerous options of how quantum theory can be applied, and is arguably the least explored, from a quantum perspective. Here, an agent explores an environment and tries to find a behavior optimizing some figure of merit. Some of the first approaches investigated settings where this exploration can be sped-up, by considering quantum analogs of classical environments, which can then be queried in superposition. If the environments have a strict periodic structure in time (i.e. are strictly episodic), such environments can be effectively converted to conventional oracles encountered in quantum information. However, in general environments, we obtain scenarios that generalize standard oracle tasks. In this work, we consider one such generalization, where the environment is not strictly episodic, which is mapped to an oracle identification setting with a changing oracle. We analyze this case and show that standard amplitude-amplification techniques can, with minor modifications, still be applied to achieve quadratic speed-ups. In addition, we prove that an algorithm based on Grover iterations is optimal for oracle identification even if the oracle changes over time in a way that the “rewarded space” is monotonically increasing. This result constitutes one of the first generalizations of quantum-accessible reinforcement learning.
Structural assessment of bridges through ambient noise deconvolution interferometry: application to the lateral dynamic behaviour of a RC multi-span viaduct
Authors: García-Macías Enrique , Ubertini Filippo 
Published: August 2021

Abstract
Operational Modal Analysis (OMA) is becoming a mature and widespread technique for Structural Health Monitoring (SHM) of engineering structures. Nonetheless, while proved effective for global damage assessment, OMA-based techniques can hardly detect local damage with little effect upon the modal signatures of the system. In this context, recent research studies advocate for the use of wave propagation methods as complementary to OMA to achieve local damage identification capabilities. Specifically, promising results have been reported when applied to building-like structures, although the application of Seismic Interferometry to other structural typologies remains unexplored. In this light, this work proposes for the first time in the literature the use of ambient noise deconvolution interferometry (ANDI) to the structural assessment of long bridge structures. The proposed approach is exemplified with an application case study of a multi-span reinforced-concrete (RC) viaduct: the Chiaravalle viaduct in Marche Region, Italy. To this aim, ambient vibration tests were performed on February 4

$$^{\text {th}}$$

th

and 7

$$^{\text {th}}$$

th

2020 to evaluate the lateral and longitudinal dynamic behaviour of the viaduct. The recorded ambient accelerations are exploited to identify the modal features and wave propagation properties of the viaduct by OMA and ANDI, respectively. Additionally, a numerical model of the bridge is constructed to interpret the experimentally identified waveforms, and used to illustrate the potentials of ANDI for the identification of local damage in the piers of the bridge. The presented results evidence that ANDI may offer features that are quite sensitive to damage in the bridge substructure, which are often hardly identifiable by OMA.
Mixing Worlds
Authors: Liang Jiafang 
Published: August 2021

OverviewSpatial and shape data represented by 3D digital models have become a central component of our archaeological datasets. Immersive visual and audio interaction with these models offers an intuitive way to use these data. The mixing of the virtual with the real world suits archaeological work particularly well, and the technologies of augmented reality (AR) and mixed reality (MR) enable this type of interaction. Much past work on these technologies has involved public engagement, but they also hold the potential for valuable deployment directly in archaeological practice and research, especially the seamless integration offered by MR. This review examines the range of experiments archaeologists are currently undertaking with AR and MR, and it looks to the future applications of these technologies.
“Subtle, vicious effects”: Lillian Steele Proctor's Pioneering Investigation of Gifted African American Children in Washington, DC
Authors: Terzian Sevan G. 
Published: August 2021

AbstractThis essay examines the first detailed study of gifted African American youth: Lillian Steele Proctor's master's thesis from the late 1920s on Black children in Washington, DC. Unlike formative research on gifted children by educational psychologists, Proctor's investigation emphasized children's experiences at school, home, and community in determining their abilities, opportunities, and accomplishments. Proctor's work also anticipated African American intellectuals’ critiques of racist claims about intelligence and giftedness that would flourish in the 1930s. In focusing on the nation's capital, her investigation drew from a municipality with a high proportion of African American residents that was segregated by law. Proctor pointed directly to systemic racism as both contributing to the relative invisibility of gifted African American youth and in thwarting opportunities to realize their intellectual potential. In an environment of racial subordination and segregation, these gifted children found themselves excluded from cultural resources and educational opportunities.
What Happened to Your College Town: The Changing Relationship of Higher Education and College Towns, 1940–2000
Authors: Rousmaniere Kate 
Published: August 2021

AbstractThis essay examines the history of what is commonly called the town-gown relationship in American college towns in the six decades after the Second World War. A time of considerable expansion of higher education enrollment and function, the period also marks an increasing detachment of higher education institutions from their local communities. Once closely tied by university offices that advised the bulk of their students in off-campus housing, those bonds between town and gown began to come apart in the 1970s, due primarily to legal and economic factors that restricted higher education institutions’ outreach. Given the importance of off-campus life to college students, over half of whom have historically lived off campus, the essay argues for increased research on college towns in the history of higher education.