bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodal investigations of emotional face processing and social trait judgment of faces
Authors: Yu Hongbo , Lin Chujun , Sun Sai , Cao Runnan , Kar Kohitij , Wang Shuo 
Published: November 2023

AbstractFaces are among the most important visual stimuli that humans perceive in everyday life. While extensive literature has examined emotional processing and social evaluations of faces, most studies have examined either topic using unimodal approaches. In this review, we promote the use of multimodal cognitive neuroscience approaches to study these processes, using two lines of research as examples: ambiguity in facial expressions of emotion and social trait judgment of faces. In the first set of studies, we identified an event‐related potential that signals emotion ambiguity using electroencephalography and we found convergent neural responses to emotion ambiguity using functional neuroimaging and single‐neuron recordings. In the second set of studies, we discuss how different neuroimaging and personality‐dimensional approaches together provide new insights into social trait judgments of faces. In both sets of studies, we provide an in‐depth comparison between neurotypicals and people with autism spectrum disorder. We offer a computational account for the behavioral and neural markers of the different facial processing between the two groups. Finally, we suggest new practices for studying the emotional processing and social evaluations of faces. All data discussed in the case studies of this review are publicly available.
Low‐dose TNF‐α promotes angiogenesis of oral squamous cell carcinoma cells via TNFR2/Akt/mTOR axis
Authors: Li Shutong , Liu Wenchuan , Liu Junze , Yang Zongcheng , Zhang Liguo , Nie Fujiao , Yang Pishan , Guo Hongmei , Yang Chengzhe 
Published: November 2023

AbstractObjectivesTo assess the role of TNF‐α/TNFR2 axis on promoting angiogenesis in oral squamous cell carcinoma (OSCC) cells and uncover the underlying mechanisms.Materials and MethodsThe expression of TNFR2 and CD31 in OSCC tissues was examined; gene expression relationship between TNF‐α/TNFR2 and angiogenic markers or signaling molecules was analyzed; the expression of angiogenic markers, signaling molecules, TNFR1, and TNFR2 in TNF‐α‐stimulated OSCC cells treated with or without TNFR2 neutralizing antibody (TNFR2 Nab) were assessed; the concentration of angiogenic markers in the supernatant of OSCC cells was detected; conditioned mediums of OSCC cells treated with TNF‐α or TNF‐α + TNFR2 Nab were applied to human umbilical vein endothelial cells (HUVECs), followed by tube formation and cell migration assays.ResultsSignificantly elevated expression of TNFR2 and CD31 in OSCC tissues was observed. A positive gene expression correlation was identified between TNF‐α/TNFR2 and angiogenic markers or signaling molecules. TNFR2 Nab inhibited the effects of TNF‐α on enhancing the expression of angiogenic factors and TNFR2, the phosphorylation of the Akt/mTOR signaling pathway, HUVECs migration, and tube formation.ConclusionsTNFR2 Nab counteracts the effect of TNF‐α on OSCC cells through the TNFR2/Akt/mTOR axis, indicating that blocking TNFR2 might be a promising strategy against cancer.
Longitudinal changes in objective accommodative response, pupil size and spherical aberration: A case study
Authors: Plainis Sotiris , Panagopoulou Sophia , Charman W. Neil 
Published: November 2023

AbstractPurposePrevious transverse and a handful of longitudinal studies have shown that the slope of the static accommodation response/stimulus curve declines as complete presbyopia is approached. Changes in pupillary miosis and ocular spherical aberration (SA) are also evident. This study further investigated longitudinal changes in the relationships between the monocular static accommodative response, pupil diameter and SA of a single adult.MethodsA wavefront analysing system, the Complete Ophthalmic Analysis System, was used in conjunction with a Badal optometer to allow continuous recording of the aberration structure of the dominant eye in a low myope for a range of accommodative demands (−0.83 to 7.63 D) over a period of 17 years until the age of 50. Monocular accommodative response was calculated as the equivalent refraction minimising wavefront error. The associated longitudinal changes in pupil size and SA with accommodation were also recorded.ResultsA decrease in accommodation response with age was found at almost all target vergences, with the changes being greatest for higher vergences. In addition, although absolute pupil diameter decreased with age, the rate of change in pupil diameter with accommodative stimulus remained approximately constant with age. Pupil constriction occurred for near stimuli even in full presbyopia. SA changed linearly with the accommodation response at all ages.ConclusionsThe objective amplitude of accommodation declined linearly with age as complete presbyopia was approached, while the slope of the response/stimulus curve also fell. It was hypothesised that the retinal image blur associated with the larger lags of accommodation at higher accommodative stimuli was reduced by pupil constriction and the resulting lower levels of SA.
MicroRNA482/2118 is lineage‐specifically involved in gibberellin signalling via the regulation of GID1 expression by targeting noncoding PHAS genes and subsequently instigated phasiRNAs
Authors: Zhang Yanqing , Zeng Zaohai , Hu Huimin , Zhao Minglei , Chen Chengjie , Ma Xingshuai , Li Guanliang , Li Jianguo , Liu Yuanlong , Hao Yanwei , Xu Jing , Xia Rui 
Published: November 2023

SummaryMicroRNA482/2118 (miR482/2118) is a 22‐nt miRNA superfamily, with conserved functions in disease resistance and plant development. It usually instigates the production of phased small interfering RNAs (phasiRNAs) from its targets to expand or reinforce its silencing effect. Using a new high‐quality reference genome sequence and comprehensive small RNA profiling, we characterized a newly evolved regulatory pathway of miR482/2118 in litchi. In this pathway, miR482/2118 cleaved a novel noncoding trans‐acting gene (LcTASL1) and triggered phasiRNAs to regulate the expression of gibberellin (GA) receptor gene GIBBERELLIN INSENSITIVE DWARF1 (GID1) in trans; another trans‐acting gene LcTASL2, targeted by LcTASL1‐derived phasiRNAs, produced phasiRNAs as well to target LcGID1 to reinforce the silencing effect of LcTASL1. We found this miR482/2118‐TASL‐GID1 pathway was likely involved in fruit development, especially the seed development in litchi. In vivo construction of the miR482a‐TASL‐GID1 pathway in Arabidopsis could lead to defects in flower and silique development, analogous to the phenotype of gid1 mutants. Finally, we found that a GA‐responsive transcription factor, LcGAMYB33, could regulate LcMIR482/2118 as a feedback mechanism of the sRNA‐silencing pathway. Our results deciphered a lineage‐specifically evolved regulatory module of miR482/2118, demonstrating the high dynamics of miR482/2118 function in plants.
The psychophysiology of Mastermind: Characterizing response times and blinking in a high‐stakes television game show
Authors: Wyly Skyler , Jinon Neryanne , Francis Timothy , Evans Hailey , Kao Tsai Lieh , Lambert Shelby , Montgomery Shayne , Newlove Marvelene , Mariscal Haley , Nguyen Henry , Cole Harrison , Aispuro Israel , Robledo Daniela , Tenaglia Olivia , Weinberger Nina , Nguyen Bill , Waits Hailey , Jorian Daisy , Koch‐Kreher Lucas , Myrdal Hunter , Antoniou Victoria , Warrier Meghana , Wunsch Leah , Arce Iram , Kirchner Kayla , Campos Elena , Nguyen An , Rodriguez Kaitlynn , Cao Lanqin , Halmekangas Avery , Wilson Robert C. 
Published: November 2023

AbstractTelevision game shows have proven to be a valuable resource for studying human behavior under conditions of high stress and high stakes. However, previous work has focused mostly on choices—ignoring much of the rich visual information that is available on screen. Here, we take a first step to extracting more of this information by investigating the response times and blinking of contestants in the BBC show Mastermind. In Mastermind, contestants answer rapid‐fire quiz questions while a camera slowly zooms in on their faces. By labeling contestants' behavior and blinks from 25 episodes, we asked how accuracy, response times, and blinking varied over the course of the game. For accuracy and response times, we tested whether contestants responded more accurately and more slowly after an error—exhibiting the “post‐error increase in accuracy” and “post‐error slowing” which has been repeatedly observed in the lab. For blinking, we tested whether blink rates varied according to the cognitive demands of the game—decreasing during periods of cognitive load, such as when pondering a response, and increasing at event boundaries in the task, such as the start of a question. In contrast to the lab, evidence for post‐error changes in accuracy and response time was weak, with only marginal effects observed. In line with the lab, blinking varied over the course of the game much as we predicted. Overall, our findings demonstrate the potential of extracting dynamic signals from game shows to study the psychophysiology of behavior in the real world.
Migration, income pooling and food deprivation
Authors: Dafuleya Gift 
Published: November 2023

AbstractIncome pooling in the context of geographically stretched households, that is, households with migrants who maintain close relations and economic ties with household members left behind, is examined in this article. The focus is also directed at evaluating whether migration assists in reducing food deprivation in the household of origin. A model to generalise the relationship between the migrant and the family left behind is presented and then applied to Bulawayo, the second largest city in Zimbabwe. The analysis is tripartite. First, the determinants of migrant remittances are established; second, tests of income pooling between migrant remittances and income of the household at origin are conducted; and third, the impact of migration on the family left behind is examined in the context of food deprivation. Results show that gender is not a determinant of remittances, but it matters for income pooling of remittances with income at the household of origin on frequent and low‐cost purchases. The evidence provided challenges the idea that a household is a separate and independent unit composed of co‐residents eating from the same pot.
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Authors: Akram Arslan , Rashid Javed , Jaffar Muhammad Arfan , Faheem Muhammad , Amin Riaz ul 
Published: November 2023

AbstractIntroductionParticularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of skin lesion analysis, CAD systems play a crucial role. To segment and classify skin lesions from dermoscopy images, this study focuses on using hybrid deep learning techniques.MethodThis research uses a hybrid deep learning model that combines two cutting‐edge approaches: Mask Region‐based Convolutional Neural Network (MRCNN) for semantic segmentation and ResNet50 for lesion detection. To pinpoint the precise location of a skin lesion, the MRCNN is used for border delineation. We amass a huge, annotated collection of dermoscopy images for thorough model training. The hybrid deep learning model to capture subtle representations of the images is trained from start to finish using this dataset.ResultsThe experimental results using dermoscopy images show that the suggested hybrid method outperforms the current state‐of‐the‐art methods. The model's capacity to segment lesions into distinct groups is demonstrated by a segmentation accuracy measurement of 95.49 percent. In addition, the classification of skin lesions shows great accuracy and dependability, which is a notable advancement over traditional methods. The model is put through its paces on the ISIC 2020 Challenge dataset, scoring a perfect 96.75% accuracy. Compared to current best practices in IoMT, segmentation and classification models perform exceptionally well.ConclusionIn conclusion, this paper's hybrid deep learning strategy is highly effective in skin lesion segmentation and classification. The results show that the model has the potential to improve diagnostic accuracy in the setting of IoMT, and it outperforms the current gold standards. The excellent results obtained on the ISIC 2020 Challenge dataset further confirm the viability and superiority of the suggested methodology for skin lesion analysis.
Integrated multi‐omics analyses and genome‐wide association studies reveal prime candidate genes of metabolic and vegetative growth variation in canola
Authors: Knoch Dominic , Meyer Rhonda C. , Heuermann Marc C. , Riewe David , Peleke Fritz F. , Szymański Jędrzej , Abbadi Amine , Snowdon Rod J. , Altmann Thomas 
Published: November 2023

SUMMARYGenome‐wide association studies (GWAS) identified thousands of genetic loci associated with complex plant traits, including many traits of agronomical importance. However, functional interpretation of GWAS results remains challenging because of large candidate regions due to linkage disequilibrium. High‐throughput omics technologies, such as genomics, transcriptomics, proteomics and metabolomics open new avenues for integrative systems biological analyses and help to nominate systems information supported (prime) candidate genes. In the present study, we capitalise on a diverse canola population with 477 spring‐type lines which was previously analysed by high‐throughput phenotyping of growth‐related traits and by RNA sequencing and metabolite profiling for multi‐omics‐based hybrid performance prediction. We deepened the phenotypic data analysis, now providing 123 time‐resolved image‐based traits, to gain insight into the complex relations during early vegetative growth and reanalysed the transcriptome data based on the latest Darmor‐bzh v10 genome assembly. Genome‐wide association testing revealed 61 298 robust quantitative trait loci (QTL) including 187 metabolite QTL, 56814 expression QTL and 4297 phenotypic QTL, many clustered in pronounced hotspots. Combining information about QTL colocalisation across omics layers and correlations between omics features allowed us to discover prime candidate genes for metabolic and vegetative growth variation. Prioritised candidate genes for early biomass accumulation include A06p05760.1_BnaDAR (PIAL1), A10p16280.1_BnaDAR, C07p48260.1_BnaDAR (PRL1) and C07p48510.1_BnaDAR (CLPR4). Moreover, we observed unequal effects of the Brassica A and C subgenomes on early biomass production.
Mining genic resources regulating nitrogen‐use efficiency based on integrative biological analyses and their breeding applications in maize and other crops
Authors: Xing Jiapeng , Zhang Juan , Wang Yanbo , Wei Xun , Yin Zechao , Zhang Yuqian , Pu Aqing , Dong Zhenying , Long Yan , Wan Xiangyuan 
Published: November 2023

SUMMARYNitrogen (N) is an essential factor for limiting crop yields, and cultivation of crops with low nitrogen‐use efficiency (NUE) exhibits increasing environmental and ecological risks. Hence, it is crucial to mine valuable NUE improvement genes, which is very important to develop and breed new crop varieties with high NUE in sustainable agriculture system. Quantitative trait locus (QTL) and genome‐wide association study (GWAS) analysis are the most common methods for dissecting genetic variations underlying complex traits. In addition, with the advancement of biotechnology, multi‐omics technologies can be used to accelerate the process of exploring genetic variations. In this study, we integrate the substantial data of QTLs, quantitative trait nucleotides (QTNs) from GWAS, and multi‐omics data including transcriptome, proteome, and metabolome and further analyze their interactions to predict some NUE‐related candidate genes. We also provide the genic resources for NUE improvement among maize, rice, wheat, and sorghum by homologous alignment and collinearity analysis. Furthermore, we propose to utilize the knowledge gained from classical cases to provide the frameworks for improving NUE and breeding N‐efficient varieties through integrated genomics, systems biology, and modern breeding technologies.
Retail banking closures in the United Kingdom. Are neighbourhood characteristics associated with retail bank branch closures?
Authors: Clark Stephen , Newing Andy , Hood Nick , Birkin Mark 
Published: November 2023

AbstractThe United Kingdom retail banking sector has been through many changes over the past decade, driven by economic, technological and pandemic factors. This is perhaps most evident through the rationalisation of the branch networks, primarily through branch closures. There is a concern that these closures can have differential effects on certain sections of society, reducing or eliminating their access to cash and financial services. In this study we utilise comprehensive branch‐level data and a discrete time‐hazard model to identify whether certain neighbourhood types have been disproportionally affected by these closures during the period 2015 to 2021. We find that building society branches are least likely to close, and that competition and the presence of alternative banking facilities (including Post Office branches) influence likelihood of closure. Crucially, neighbourhood type matters, with rural communities continuing to be most impacted, along with those where the predominant work activities are less concentrated, or largely absent. However, in contrast to earlier studies, we find that affluent neighbourhoods were more at risk of branch closure than more diverse and economically challenged neighbourhoods. We conclude by considering these findings in the context of recently introduced legislation to protect access to basic banking and cash withdrawal and deposit facilities.
Maximal sustainable energy intake during transatlantic ocean rowing is insufficient for total energy expenditure and skeletal muscle mass maintenance
Authors: Holsgrove‐West Rosalind K. , Revuelta Iniesta Raquel , Abdelrahman Doaa R. , Murton Andrew J. , Wall Benjamin T. , Stephens Francis B. 
Published: November 2023

AbstractStudies of extreme endurance have suggested that there is an alimentary limit to energy intake (EI) of ∼2.5 × resting metabolic rate (RMR). To gain further insight, this study aimed to simultaneously measure EI, total energy expenditure (TEE) body mass and muscle mass in a large cohort of males and females of varying ages during a transatlantic rowing race. Forty‐nine competitors (m = 32, f = 17; age 24–67 years; time at sea 46 ± 7 days) in the 2020 and 2021 Talisker Whisky Atlantic Challenge rowed 12–18 hday−1 for ∼3000 miles. TEE was assessed in the final week of the row using 2H218O doubly labelled water, and EI was analysed from daily ration packs over this period. Thickness of relatively active (vastus lateralis, intermedius, biceps brachaii and rectus abdominus) and inactive (gastrocnemius, soleus and triceps) muscles was measured pre (<7 days) and post (<24 h) row using ultrasound. Body mass was measured and used to calculate RMR from standard equations. There were no sex differences in males and females in EI (2.5 ± 0.5 and 2.3 ± 0.4 × RMR, respectively, P = 0.3050), TEE (2.5 ± 1.0 and 2.3 ± 0.4 × RMR, respectively, P = 0.5170), or body mass loss (10.2 ± 3.1% and 10.0 ± 3.0%, respectively, P = 0.8520), and no effect of age on EI (P = 0.5450) or TEE (P = 0.9344). Muscle loss occurred exclusively in the calf (15.7% ± 11.4% P < 0.0001), whilst other muscles remained unchanged. After 46 days of prolonged ultra‐endurance ocean rowing incurring 10% body mass loss, maximal sustainable EI of ∼2.5 × RMR was unable to meet total TEE suggesting that there is indeed a physiological capacity to EI.
Flow Transmission Characteristics Analysis of a Subsea Fluid Conveying-Pipeline System With Cracks by Considering Frequency Analysis Technique
Authors: Mishra Aditya , Arunesh Abhinav , Murugan S. Bala , Behera Rabindra Kumar 
Published: November 2023

Abstract
Underwater pipes conveying fluids are used to transport fluids such as oil, water, and other chemicals over long distances over the sea. One of the most frequent pipeline failures is cracking. Current studies mainly rely on dynamic properties, such as natural frequencies, deflection, mode shapes, and modal damping, and curvature mode forms, to detect the beginnings of faults/cracks in cascaded pipelines. The study looks at the varying natural frequencies of a non-uniform pipe carrying a hot, viscous fluid flowing in a laminar fashion determining the depth of the fracture. The pipe in operation is subject to gravity and a constant pre-stress. The structure of the subsea pipeline has been modeled and simulated in MATLAB and subsequently, the analysis has been carried out with CFX model in ANSYS®. It has been found that the natural frequency drops as the density of the fluid that flows through the pipe increases. It is observed that natural frequency depends inversely on fracture depth irrespective of ground support. The presence of a crack in the pipeline can be ascertained, as well as its depth, by monitoring the pipe’s natural frequency. Additionally, a frequency sensitivity analysis has suggested the effects of several parameters, such as the velocity ratio, pressure head, uncertainties of the stress range, and beginning crack size have been studied in the subsea pipeline.
Use of Satellite Data and Artificial Intelligence for Washout Assessment for Pipeline Integrity Management
Authors: Ghosh Pradeep Kumar , Kumar Santosh , Roy Sayan 
Published: November 2023

Abstract
Pipeline integrity is one of the major concerns when operating a hydrocarbon pipeline. Environmental forces such as water course change, soil erosion, lightning strike, earthquakes etc. play a key role for pipeline integrity and may cause major damages if left unnoticed. [1]. These threats are time independent and occur sporadically throughout the pipeline network. [2][3]. Usually, the strategy for these types of threat is “Mitigate when noticed”. The paper lays foundation to evaluation of one of these threats that is water course change which results to pipeline washout outs. The paper uses the historical satellite data to predict the vulnerable stretches where washout is likely to occur and provide an indication where washouts are likely to occur. This module also provides a node for risk assessment model where the sections can be quantified for relative risk based on changes in the water course. Washouts are dynamic pipeline integrity threats.
A terrain or river course changes over a period due to climate change and/or human activities. This paper discusses methodology to evaluate the changes which have occurred during the history of the terrain and the pipeline. Based on previous washout histories across the pipeline network and “High-resolution mapping of global surface water and its long-term changes” using Global Surface Water - Data Access, 2019, a methodology has been prepared to identify the areas where washouts are likely to occur. [4][5]
The paper analysis surface water run-offs, percentage changes, extent of water runoffs, seasonal, new seasonal, lost seasonal, ephermal seasonal and other layers of the global surface water change to identify the areas where such possibilities can be methodically worked out and algorithm developed to identify the washout probabilities on relative basis. The paper further divides these areas into various zones on Washout Priorities and help operator to make meaning full decision with an ultimate objective to strengthen pipeline integrity. The paper also discusses some of the typical cases for ease of understanding and appreciation of the approach.