bluuebunny/crossref_metadata_2025_split huggingface dataset:
A synergistic effect on enriching the Mg–Al–Zn alloy-based hybrid composite properties
Authors: Anbuchezhiyan Gnanasambandam , Mubarak Nabisab Mujawar , Karri Rama Rao , Khalid Mohammad 
Published: November 2022

AbstractMg–Al–Zn alloys are widely preferred in many applications by considering their excellent properties of high stiffness-to-weight ratio, lightweight, high strength-to-weight ratio, low density, castability, high-temperature mechanical properties, machinability, high corrosion resistance, and great damping. Improving the properties of such alloys is challenging due to their hexagonal crystal structure and other alloying limitations. This study aims to synthesize Mg–Al–Zn alloy by incorporating the alloying elements 8.3 wt% Al, 0.35 wt% Zn on pure magnesium (Control specimen). Then synthesize Mg–Al–Zn/BN/B4C hybrid composite by reinforcing B4C at three weight proportions (3 wt%, 6 wt%, 9 wt%) along with constant solid lubricant BN (3 wt%) through a stir casting process. The hybrid composite samples were characterized and compared with the performances of the control specimen. The results reveal that 9 wt% B4C reinforced samples outperformed through recording the improvement of tensile strength by 28.94%, compressive strength by 37.89%, yield strength by 74.63%, and hardness by 14.91% than the control specimen. Apart from this, it has reduced the corrosion area (37.81%) and noticed negligible changes in density (increased by 0.03%) and porosity (decreased by 0.01%) than the control specimen. The samples were characterized using SEM, XRD, and EDAX apparatus.
Damage assessment of suspension footbridge using vibration measurement data combined with a hybrid bee-genetic algorithm
Authors: Ngoc-Nguyen Lan , Ngoc-Tran Hoa , Khatir Samir , Le-Xuan Thang , Huu-Nguyen Quyet , De Roeck G. , Bui-Tien Thanh , Abdel Wahab Magd 
Published: November 2022

AbstractOptimization algorithms (OAs) are a vital tool to deal with complex problems, and the improvement of OA is inseparable from practical strategies and mechanisms. Among the OAs, Bee Algorithm (BA) is an intelligent algorithm with a simple mechanism and easy implementation, in which effectiveness has been proven when handling optimization problems. Nevertheless, BA still has some fundamental drawbacks, which can hinder its effectiveness and accuracy. Therefore, this paper proposes a novel approach to tackle the shortcomings of BA by combining it with Genetic Algorithm (GA). The main intention is to combine the strengths of both optimization techniques, which are the exploitative search ability of BA and the robustness with the crossover and mutation capacity of GA. An investigation of a real-life suspension footbridge is considered to validate the effectiveness of the proposed method. A baseline Finite Element model of the bridge is constructed based on vibration measurement data and model updating, which is used to generate different hypothetical damage scenarios. The proposed HBGA is tested against BA, GA, and PSO to showcase its effectiveness in detecting damage for each scenario. The results show that the proposed algorithm is effective in dealing with the damage assessment problems of SHM.
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification
Authors: Cannet Arnaud , Simon-Chane Camille , Akhoundi Mohammad , Histace Aymeric , Romain Olivier , Souchaud Marc , Jacob Pierre , Delaunay Pascal , Sereno Darian , Bousses Philippe , Grebaut Pascal , Geiger Anne , de Beer Chantel , Kaba Dramane , Sereno Denis 
Published: November 2022

AbstractA simple method for accurately identifyingGlossina sppin the field is a challenge to sustain the future elimination of Human African Trypanosomiasis (HAT) as a public health scourge, as well as for the sustainable management of African Animal Trypanosomiasis (AAT). Current methods for Glossina species identification heavily rely on a few well-trained experts. Methodologies that rely on molecular methodologies like DNA barcoding or mass spectrometry protein profiling (MALDI TOFF) haven’t been thoroughly investigated forGlossinasp. Nevertheless, because they are destructive, costly, time-consuming, and expensive in infrastructure and materials, they might not be well adapted for the survey of arthropod vectors involved in the transmission of pathogens responsible for Neglected Tropical Diseases, like HAT. This study demonstrates a new type of methodology to classifyGlossinaspecies. In conjunction with a deep learning architecture, a database of Wing Interference Patterns (WIPs) representative of theGlossinaspecies involved in the transmission of HAT and AAT was used. This database has 1766 pictures representing 23 Glossinaspecies. This cost-effective methodology, which requires mounting wings on slides and using a commercially available microscope, demonstrates that WIPs are an excellent medium to automatically recognize Glossina species with very high accuracy.
SNAL: sensitive non-associative learning network configuration for the automatic driving strategy
Authors: Shi Zhaoning , Zhai Yong , Zhang Youtong , Wei Hongqian 
Published: November 2022

AbstractNowadays, there is a huge gap between autonomous vehicles and mankind in terms of the decision response against some dangerous scenarios, which would has stressed the potential users out and even made them nervous. To efficiently identify the possible sensitivity scenarios, a new neural network configuration, named sensitive non-associative learning network (SNAL), is proposed. In such structure, the modulated interneurons, excited by abnormal scene stimulation for scene processing, are well processed and utilized to improve the training structure which refers to the sensitization mechanism in non-associative learning in neurobiology and the neural structure of Aplysia. When encountering the sensitivity scenes that the automatic driving agent is not good at or has not seen, the modulated interneuron facilitates the full connection layer neurons for the decision-making process, so as to change the final automatic driving strategy. In the process of constructing the model, a method to measure the similarity of the convolution feature map is proposed, which provides a new investigation tool for the properties of convolution networks after the feature extraction. Based on the Morris–Lecar equation in neurobiology, the dynamic model of modulating interneurons in the network is constructed. The automatic control optimization of the model is carried out by imitating the biological properties. The optimization method provides a reference for introducing neurobiological mechanism into deep learning and automatic control. To validate the effectiveness of the proposed method, the simulation test are executed and the existing methods are compared accordingly. The results show that the proposed SNAL algorithm can effectively recognize the sensitivity mechanism. Furthermore, compared with the existing algorithms, such as CNN, LSTM, ViT, the proposed algorithm can make better defensive strategies for potentially dangerous scenes rarely seen or not seen in the training stage. This sensitivity mechanism is more in line with the human driving intuition when dealing with abnormal driving scenes, and makes the decision more interpretable, significantly improving the traffic ability of autonomous vehicles under the sensitive scenes. In addition, this configuration can be easily combined with the existing mainstream neural network models and has good expansibility.
Establishment of a finite element model of supination-external rotation ankle joint injury and its mechanical analysis
Authors: Zhang Xin , Xie Pinliang , Shao Weirong , Xu Ming , Xu Xiaoping , Yin Yong , Fei Lan 
Published: November 2022

AbstractBy establishing a three-dimensional finite element model of ankle injury arising from supination and external rotation, the stress characteristics of the posterior malleolar surface can be obtained, and analysis of the corresponding stress on the lateral ankle can be conducted. Thin-layer computed tomography images of normal ankle joint in the supination and external rotation nonweight-bearing states was selected, to construct a three-dimensional data model of each ankle joint. A load was applied to examine different ankle joint stress values and pressure distributions on the surface of the posterior ankle joint. A 600 N vertical compressive and 10 Nm internal rotation load was applied in Stage III (removing the anterior tibiofibular ligament and the posterior tibiofibular ligament) of SER (supination-external rotation). When the lateral malleolar was intact, the maximum stress (132.7 MPa) was located at the point of attachment of the posterior tibiofibular ligament to the fibula, and the maximum pressure of the posterior malleolar surface was lower than 4.505 MPa. When a lateral malleolar fracture was present, the maximum stress (82.72 MPa) was located on the fibular fracture surface, and the maximum pressure of the posterior malleolar surface was 8.022 MPa. This study shows that reconstruction of the lateral malleolus in supination-external rotation ankle injuries significantly affects the stress distribution at the posterior malleolar joint surface. Through this reconstruction, the pressure distribution of the posterior malleolar joint surface can be significantly reduced.
Composition and metabolic potential of microbiomes associated with mesopelagic animals from Monterey Canyon
Authors: Breusing Corinna , Osborn Karen J , Girguis Peter R , Reese Aspen T 
Published: November 2022

Abstract
There is growing recognition that microbiomes play substantial roles in animal eco-physiology and evolution. To date, microbiome research has largely focused on terrestrial animals, with far fewer studies on aquatic organisms, especially pelagic marine species. Pelagic animals are critical for nutrient cycling, yet are also subject to nutrient limitation and might thus rely strongly on microbiome digestive functions to meet their nutritional requirements. To better understand the composition and metabolic potential of midwater host-associated microbiomes, we applied amplicon and shotgun metagenomic sequencing to eleven mesopelagic animal species. Our analyses reveal that mesopelagic animal microbiomes are typically composed of bacterial taxa from the phyla Proteobacteria, Firmicutes, Bacteroidota and, in some cases, Campylobacterota. Overall, compositional and functional microbiome variation appeared to be primarily governed by host taxon and depth and, to a lesser extent, trophic level and diel vertical migratory behavior, though the impact of host specificity seemed to differ between migrating and non-migrating species. Vertical migrators generally showed lower intra-specific microbiome diversity (i.e., higher host specificity) than their non-migrating counterparts. These patterns were not linked to host phylogeny but may reflect differences in feeding behaviors, microbial transmission mode, environmental adaptations and other ecological traits among groups. The results presented here further our understanding of the factors shaping mesopelagic animal microbiomes and also provide some novel, genetically informed insights into their diets.
The nonindustrialised microbiome in a modern world
Authors: Shanahan Fergus , Ghosh Tarini S. , Molloy Michael G. , O’Toole Paul W. 
Published: November 2022

Abstract
The microbiome contributes to human development and maturation, and is essential for maintenance of health and prevention of disease. While the human genome encodes one’s identity, the microbiome – also individually unique – provides a window on one’s lifestyle and exposure to environmental variables. The microbiome thus serves as a biomarker of host health and a driver of certain diseases. However, current understanding of the gut microbiome is largely based on studies of industrialised peoples of North America and Europe. Gaps in knowledge of the microbiomes of other groups, particularly those in developing or nonindustrialised societies, are important, particularly in view of contrasting epidemiological risks of acquiring chronic inflammatory and metabolic disorders. Here, we explore underlying mechanisms of microbiome differences and whether the potential benefits of nonindustrialised microbiome can be realised in a modern world.
Protein interactions: anything new?
Authors: Barrera-Vilarmau Susana , Teixeira João M.C. , Fuxreiter Monika 
Published: November 2022

Abstract
How do proteins interact in the cellular environment? Which interactions stabilize liquid–liquid phase separated condensates? Are the concepts, which have been developed for specific protein complexes also applicable to higher-order assemblies? Recent discoveries prompt for a universal framework for protein interactions, which can be applied across the scales of protein communities. Here, we discuss how our views on protein interactions have evolved from rigid structures to conformational ensembles of proteins and discuss the open problems, in particular related to biomolecular condensates. Protein interactions have evolved to follow changes in the cellular environment, which manifests in multiple modes of interactions between the same partners. Such cellular context-dependence requires multiplicity of binding modes (MBM) by sampling multiple minima of the interaction energy landscape. We demonstrate that the energy landscape framework of protein folding can be applied to explain this phenomenon, opening a perspective toward a physics-based, universal model for cellular protein behaviors.
The biophysics of disordered proteins from the point of view of single-molecule fluorescence spectroscopy
Authors: Cubuk Jasmine , Stuchell-Brereton Melissa D. , Soranno Andrea 
Published: November 2022

AbstractIntrinsically disordered proteins (IDPs) and regions (IDRs) have emerged as key players across many biological functions and diseases. Differently from structured proteins, disordered proteins lack stable structure and are particularly sensitive to changes in the surrounding environment. Investigation of disordered ensembles requires new approaches and concepts for quantifying conformations, dynamics, and interactions. Here, we provide a short description of the fundamental biophysical properties of disordered proteins as understood through the lens of single-molecule fluorescence observations. Single-molecule Förster resonance energy transfer (FRET) and fluorescence correlation spectroscopy (FCS) provides an extensive and versatile toolbox for quantifying the characteristics of conformational distributions and the dynamics of disordered proteins across many different solution conditions, both in vitro and in living cells.
Clinically Measuring Orofacial Somatosensation in a Cohort of Healthy Aging Adults
Authors: Etter Nicole M. , Schmauk Nicole , Neely Kristina A. 
Published: November 2022

Purpose:
Humans experience the world through sensations of touch, taste, smell, vision, and audition. Alterations in sensory acuity occur across the adult life span in all types of sensation. The purpose of this study was to describe possible differences in lip and tongue somatosensation (sense of pressure) for healthy older adults using clinically available measurement tools as compared with previously published data using the same protocol.

Method:

A total of 33 healthy adults (ages 60–93 years
; M
= 70.5 years; 19 women) completed bilateral assessment of lip and tongue pressure detection and discrimination using two-point discrimination discs and Von Frey hair monofilaments. Participants reported basic health information and completed a pure-tone hearing threshold assessment within the same session.

Results:
Descriptive results are presented for individual data points from healthy aging adults. Group data are compared with previously published data from a cohort of healthy young participants. Although there were no statistically significant differences between the two healthy groups, variations in standard deviations in older adults were observed.

Conclusions:
Two-point discrimination and tactile detection and discrimination using Von Frey hair monofilaments can be used to assess labial and lingual pressure detection and discrimination in healthy aging adults. While not reaching statistical significance, on average, older adults demonstrated increased threshold estimates compared with younger adults with increases in standard deviations up to 11.5 times larger than the younger cohort. Subtle differences in somatosensation across the ages may be important for future comparisons with clinical populations across the life span. These assessment techniques can be used with an aging population to complete objective orofacial somatosensory testing.
Adult Cochlear Implant Users Versus Typical Hearing Persons: An Automatic Analysis of Acoustic–Prosodic Parameters
Authors: Arias-Vergara Tomás , Batliner Anton , Rader Tobias , Polterauer Daniel , Högerle Catalina , Müller Joachim , Orozco-Arroyave Juan-Rafael , Nöth Elmar , Schuster Maria 
Published: November 2022

Purpose:The aim of this study was to investigate the speech prosody of postlingually deaf cochlear implant (CI) users compared with control speakers without hearing or speech impairment.Method:Speech recordings of 74 CI users (37 males and 37 females) and 72 age-balanced control speakers (36 males and 36 females) are considered. All participants are German native speakers and readDer Nordwind und die Sonne(The North Wind and the Sun), a standard text in pathological speech analysis and phonetic transcriptions. Automatic acoustic analysis is performed considering pitch, loudness, and duration features, including speech rate and rhythm.Results:In general, duration and rhythm features differ between CI users and control speakers. CI users read slower and have a lower voiced segment ratio compared with control speakers. A lower voiced ratio goes along with a prolongation of the voiced segments' duration in male and with a prolongation of pauses in female CI users. Rhythm features in CI users have higher variability in the duration of vowels and consonants than in control speakers. The use of bilateral CIs showed no advantages concerning speech prosody features in comparison to unilateral use of CI.Conclusions:Even after cochlear implantation and rehabilitation, the speech of postlingually deaf adults deviates from the speech of control speakers, which might be due to changed auditory feedback. We suggest considering changes in temporal aspects of speech in future rehabilitation strategies.Supplemental Material:https://doi.org/10.23641/asha.21579171
Lexical Access in Preschool Mandarin-Speaking Children With Cochlear Implants
Authors: Shi Xinyuan , Wu Shanshan , Liang Dandan 
Published: November 2022

Purpose:Children with cochlear implants (CIs) have less experience accessing spoken language. Mandarin Chinese uses pitch information to contrast word meaning, and the signal that the CI devices provide is degraded. Thus, Mandarin-speaking children with CIs may face more challenges in the development of language skills. This study examines preschool Mandarin-speaking children's performance in lexical access. We hypothesized that children with CIs and their peers with normal hearing (NH) have comparable naming ability, but they process phonological or semantic information differently.Method:Twenty children with CIs and 20 age-matched children with NH were tested. The cross-modal visual–auditory picture–word interference paradigm was applied. The distractor was either phonologically related (mao55cat -mao51hat), semantically related (mao55cat -shu214mouse) or unrelated (mao55cat -zhi214paper) to the target, and it was aurally presented at four different points in time relative to the picture. Accuracy was compared between the two groups to tap into the children's naming abilities, and reaction time was analyzed to examine the effects of phonological and semantic information.Results:No group difference in accuracy was found. The phonologically related distractors led to significantly higher accuracy scores and shorter reaction times, whereas the semantically related distractors did not. Unlike the NH group, the CI group did not respond significantly faster or slower in phonologically related condition when the distractor and picture occurred simultaneously. Finally, the CI group made overall quicker responses than the NH group.Conclusions:Children with CIs are as successful as children with NH in word retrieval and production, and the two groups both show phonological priming effect and lack semantic effect. However, children with CIs do not process phonological information as early as their NH peers, and they may be more tasks directed and hence make quicker responses.
GaiaData Release 3
Authors: Gavras Panagiotis , Rimoldini Lorenzo , Nienartowicz Krzysztof , de Fombelle Grégory Jevardat , Holl Berry , Ábrahám Péter , Audard Marc , Carnerero Maria I. , Clementini Gisella , De Ridder Joris , Distefano Elisa , Garcia-Lario Pedro , Garofalo Alessia , Kóspál Ágnes , Kruszyńska Katarzyna , Kun Mária , Lecoeur-Taïbi Isabelle , Marton Gábor , Mazeh Tsevi , Mowlavi Nami , Raiteri Claudia M. , Ripepi Vincenzo , Szabados László , Zucker Shay , Eyer Laurent 
Published: November 2022

Context.In current astronomical surveys with ever-increasing data volumes, automated methods are essential. Objects of known classes from the literature are necessary to train supervised machine-learning algorithms and to verify and validate their results.Aims.The primary goal of this work is to provide a comprehensive data set of known variable objects from the literature that we cross-match withGaiaDR3 sources, including a large number of variability types and representatives, in order to cover sky regions and magnitude ranges relevant to each class in the best way. In addition, non-variable objects from selected surveys are targeted to probe their variability inGaiaand possible use as standards. This data set can be the base for a training set that can be applied to variability detection, classification, and validation.Methods.A statistical method that employed astrometry (position and proper motion) and photometry (mean magnitude) was applied to selected literature catalogues in order to identify the correct counterparts of known objects in theGaiadata. The cross-match strategy was adapted to the properties of each catalogue, and the verification of results excluded dubious matches.Results.Our catalogue gathers 7 841 723Gaiasources, 1.2 million of which are non-variable objects and 1.7 million are galaxies, in addition to 4.9 million variable sources. This represents over 100 variability (sub)types.Conclusions.This data set served the requirements of theGaiavariability pipeline for its third data release (DR3) from classifier training to result validation, and it is expected to be a useful resource for the scientific community that is interested in the analysis of variability in theGaiadata and other surveys.