bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emergent computations in trained artificial neural networks and real brains
Authors: Parga N. , Serrano-Fernández L. , Falcó-Roget J. 
Published: February 2023

Abstract
Synaptic plasticity allows cortical circuits to learn new tasks and to adapt to changing environments. How do cortical circuits use plasticity to acquire functions such as decision-making or working memory? Neurons are connected in complex ways, forming recurrent neural networks, and learning modifies the strength of their connections. Moreover, neurons communicate emitting brief discrete electric signals. Here we describe how to train recurrent neural networks in tasks like those used to train animals in neuroscience laboratories and how computations emerge in the trained networks. Surprisingly, artificial networks and real brains can use similar computational strategies.
GBT20, a 20.48 Gbps PAM4 optical transmitter module for particle physics experiments
Authors: Deng B. , Zhang L. , Chao C.-P. , Chen S.-W. , Cruda E. , Gong D. , Hou S. , Huang G. , Huang X. , Li C.-Y. , Liu C. , Liu T. , Liu E.R. , Sun Q. , Sun X. , Wong G. , Ye J. 
Published: February 2023

Abstract
We present a pluggable radiation-tolerant 4-level Pulse-Amplitude-Modulation (PAM4) optical transmitter module called GBT20 (Giga-Bit Transmitter at 20 Gbps) for particle-physics experiments. GBT20 has an OSFP or firefly connector to input 16 bit data each at 1.28 Gbps. The GBT20 drives a VCSEL die with an LC lens or a VCSEL TOSA and interfaces an optical fiber with a standard LC connector. The minimum module, including the host connector, occupies 41 mm × 13 mm × 6 mm. At 20.48 Gbps, the minimum Transmitter Dispersion Eye Closure Quaternary (TDECQ) is around 0.7 dB. The power consumption is around 164 mW in the low-power mode. The SEE cross-section is below 7.5 × 10−14 cm2. No significant performance degrades after a TID of 5.4 kGy.
Comparative study on single-objective optimization and multi-objective optimization of convex textured friction couple performance
Authors: Yu Xiaodong , Shi Guangqiang , Zhao Feihu , Feng Yanan , Gao Weicheng 
Published: February 2023

Abstract
To improve the friction property of the friction pair of the hydrostatic thrust bearing, the surface with convex textures is designed at the bottom of the oil cavity, and the effect of convex textures on the interstitial oil film performance is analyzed. The interstitial oil film in contact with convex textures is simulated and studied by the computational fluid dynamics method. The study shows that the oil cavity with the convex structures can significantly improve the friction characteristics of the gap oil film in the hydrostatic thrust bearing. In order to further study the effect of texture parameters (texture radius, texture spacing , texture quantity and texture area ratio ) on its performance, the method based on the full factor test is used for single objective optimization, and the methods based on the BBD response surface and the NSGA-II algorithm are used for multiple target collaborative optimization. The full factor test with the main effect shows that the best combination with the bearing capacity is 0.5 mm, 7 mm, 7 and 1.6%, and the best combination with the rigidity is 0.3 mm, 5 mm, 5 and 1.13%. The influence of textures on the maximum temperature of oil film is basically unchanged and the bearing capacity is in inverse proportion to the friction factor. When considering the interaction between texture parameters, the BBD response surface method is used for multi-objective optimization. The study shows that the texture radius is 0.7 mm, the texture spacing is 7 mm, the quantity of textures is 6.2, and the area ratio is 3.14%, the optimal response values can be obtained, which the bearing capacity is 8519.31 N and the rigidity is 1.31868 E + 12 N m−1. The multi-objective optimization analysis of the NSGA-II algorithm based on the BBD response surface model shows that the algorithm can obtain a Pareto solution set. Each set of solutions obtained by the NSGA-II algorithm is the optimal solution. Both the BBD response surface method and the NSGA-II algorithm can be used to solve multi-objective problems.
Study on the effect of curved fiber laying angle on the vibration free attenuation of composite laminates
Authors: Wang Haoyu , Yang Mingguang , Chen Haoran , An Luling , Wang Xianfeng , Liu Chen , Ye Fan 
Published: February 2023

Abstract
Firstly, three groups of fiber curve laminates with different numbers of layers and different fiber curve angles were designed and prepared. A cantilever plate free vibration test was used to analyze the influence of the fiber curve angle on the vibration free attenuation characteristics of the laminates. The three groups of contrast test results show that the fiber curve angle has a significant effect on the loss factor of the laminate structure. When the angle change of the fiber curve was ±<45|60>, the loss factor of the laminates reached the maximum value, and the vibration damping performance of the laminates was the best. Secondly, modal tests were carried out on the laminates, the modeling and simulation of the variable stiffness laminate were completed, and the influence of the fiber curve angle on the natural frequency of the laminate was explored. The results showed that when the number of laminate layers was the same, the natural frequencies of the laminates first increased and then decreased with an increase in the fiber curve angle. The first three natural frequencies of the laminates reached the maximum value when the fiber curve angle was ±<45|60 > or ±<60|75>. Finally, it is concluded that when the fiber curve angle of the laminates varies between ±<45|60>, the damping ratio and the first three natural frequencies of the laminates reach the maximum value, and the vibration damping performance is the best.
Machine learning phases in swarming systems
Authors: Xue Tingting , Li Xu , Chen Xiaosong , Chen Li , Han Zhangang 
Published: February 2023

Abstract
Recent years have witnessed a growing interest in using machine learning to predict and identify phase transitions (PTs) in various systems. Here we adopt convolutional neural networks (CNNs) to study the PTs of Vicsek model, solving the problem that traditional order parameters are insufficiently able to do. Within the large-scale simulations, there are four phases, and we confirm that all the PTs between two neighboring phases are first-order. We have successfully classified the phase by using CNNs with a high accuracy and identified the PT points, while traditional approaches using various order parameters fail to obtain. These results indicate the great potential of machine learning approach in understanding the complexities in collective behaviors, and in related complex systems in general.
The New Era of Marketing in Plastic Surgery: A Systematic Review and Algorithm of Social Media and Digital Marketing
Authors: Shauly Orr , Marxen Troy , Goel Pedram , Gould Daniel J 
Published: February 2023

Abstract

Social media has been demonstrated to serve as a critical tool for plastic surgeons, facilitating patient engagement, peer-to-peer education and learning, and outreach to the broader public community. This study aims to perform a meta-analysis of data to determine the most valuable and useful social media platforms for practicing plastic surgeons developing their practice by assessing the perceived value to the practice and quantifying return on investment. A systematic review was performed using PubMed (National Institutes of Health, Bethesda, MD). The initial search yielded 3592 articles. Sixteen articles met inclusion and exclusion criteria. It was found that patients are more likely to engage with aesthetic content rather than scientific content. Younger generations are more likely to utilize Instagram (Meta, Menlo Park, CA), Snapchat (Santa Monica, CA), and TikTok (Culver City, CA), while older generations may be more likely to utilize Facebook (Meta, Menlo Park, CA) and YouTube (San Bruno, CA). Age-specific recommendations include utilizing Instagram, Snapchat, and TikTok with emphasis on breast augmentation for patients aged 17 and 35 given this is the most common procedure performed for this age group. Patients between the ages of 36 and 70 are most likely to be engaged on Facebook, Instagram, and Facebook with liposuction being the most common procedure in this age group. For ages 70+, patients are most likely to utilize Facebook with the most common procedure performed as blepharoplasty. Effective social media marketing for the plastic surgeon considers delivering the right content and choosing the right platform. The right content and platform are critically dependent on the specific age of the audience.

Level of Evidence: 3
WASP: the World Archives of Species Perception
Authors: Nguyen Tuan , Malina Robert , Mokas Ilias , Papakonstantinou Antonis , Polyzos Orestes , Vanhove Maarten P M 
Published: February 2023

AbstractWhile human perception can play a role in influencing public support for species conservation, the mechanisms underlying human perception remain poorly understood. Some previous studies on perception have focused on a few specific taxa, which makes the understanding of the public perception of species at large a resource- and time-intensive task. Here, we introduce the World Archives of Species Perception project that consists of an animal survey and a plant survey to construct the first systematic database to study the human perception of the floral and faunal diversity at a global scale. We provide a description of our survey method, species selection, survey implementation and a discussion of the potential uses of our databases in multidisciplinary research. In the animal survey, we cover 1980 International Union for Conservation of Nature (IUCN)–evaluated species, representing 25 classes, 192 orders, 1037 families and 1705 genera. In the plant survey, we cover 2000 IUCN-evaluated species, representing 13 classes, 93 orders, 386 families and 1968 genera. Data from the survey will be collected and made available 24 months after the publication of the article.Database URL http://wasp-project.net/
A comparative study of industry responses to government consultations about alcohol and gambling in the UK
Authors: Bhuptani Saloni , Boniface Sadie , Severi Katherine , Hartwell Greg , McGill Elizabeth 
Published: February 2023

AbstractBackgroundThere is growing evidence that common strategies are used across unhealthy commodity industries (UCIs) to influence policy decisions in line with their commercial interests. To date, there have been relatively few studies comparing corporate political activity (CPA) across UCIs, especially comparing the alcohol and gambling industries.MethodsA comparative and inductive thematic analysis of alcohol and gambling industry submissions to two House of Lords (HoL) inquiries in the UK was conducted. Themes in the framing, arguments and strategies used by the alcohol and gambling industries in CPA were compared.ResultsAlcohol and gambling industry responses largely used the same framings, both in terms of the problems and solutions. This included arguing that harms are only experienced by a ‘minority’ of people, emphasising individual responsibility and shifting blame for harms to other industry actors. They promoted targeted or localised solutions to these harms, in place of more effective population level solutions, and emphasised the perceived harms of introducing regulation not in the industries’ interests.ConclusionsThese findings are consistent with previous literature suggesting that UCIs use the same framing and arguments to shape the narrative around their harms and solutions to those harms. This study also identified novel strategies such as shifting blame of harms to other industry actors. Policy makers should be aware of these strategies to avoid undue industry influence on policy decisions and understanding commonalities in strategies may help to inform more effective public health responses across all UCIs.
Systematic Exploration of SARS-CoV-2 Adaptation to Vero E6, Vero E6/TMPRSS2, and Calu-3 Cells
Authors: Aiewsakun Pakorn , Phumiphanjarphak Worakorn , Ludowyke Natali , Purwono Priyo Budi , Manopwisedjaroen Suwimon , Srisaowakarn Chanya , Ekronarongchai Supanuch , Suksatu Ampa , Yuvaniyama Jirundon , Thitithanyanont Arunee 
Published: February 2023

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread globally, and scientists around the world are currently studying the virus intensively in order to fight against the on-going pandemic of the virus. To do so, SARS-CoV-2 is typically grown in the lab to generate viral stocks for various kinds of experimental investigations. However, accumulating evidence suggests that such viruses often undergo cell culture adaptation. Here, we systematically explored cell culture adaptation of two SARS-CoV-2 variants, namely the B.1.36.16 variant and the AY.30 variant, a sub lineage of the B.1.617.2 (Delta) variant, propagated in three different cell lines, including Vero E6, Vero E6/TMPRSS2, and Calu-3 cells. Our analyses detected numerous potential cell culture adaptation changes scattering across the entire virus genome, many of which could be found in naturally circulating isolates. Notable ones included mutations around the spike glycoprotein's multibasic cleavage site, and the Omicron-defining H655Y mutation on the spike glycoprotein, as well as mutations in the nucleocapsid protein's linker region, all of which were found to be Vero E6-specific. Our analyses also identified deletion mutations on the non-structural protein 1 and membrane glycoprotein as potential Calu-3-specific adaptation changes. S848C mutation on the non-structural protein 3, located to the protein's papain-like protease domain, was also identified as a potential adaptation change, found in viruses propagated in all three cell lines. Our results highlight SARS-CoV-2 high adaptability, emphasize the need to deep-sequence cultured viral samples when used in intricate and sensitive biological experiments, and illustrate the power of experimental evolutionary study in shedding lights on the virus evolutionary landscape.
DNA metabarcoding of trawling bycatch reveals diversity and distribution patterns of sharks and rays in the central Tyrrhenian Sea
Authors: Albonetti Linda , Maiello Giulia , Cariani Alessia , Carpentieri Paolo , Ferrari Alice , Sbrana Alice , Shum Peter , Talarico Lorenzo , Russo Tommaso , Mariani Stefano 
Published: February 2023

AbstractConservation and management of chondrichthyans are becoming increasingly important, as many species are particularly vulnerable to fishing activities, primarily as bycatch, which leads to incomplete catch reporting, potentially hiding the impact on these organisms. Here, we aimed at implementing an eDNA metabarcoding approach to reconstruct shark and ray bycatch composition from 24 hauls of a bottom trawl fishing vessel in the central Mediterranean. eDNA samples were collected through the passive filtration of seawater by simple gauze rolls encapsulated in a probe (the “metaprobe”), which already showed great efficiency in detecting marine species from trace DNA in the environment. To improve molecular taxonomic detection, we enhanced the 12S target marker reference library by generating sequences for 14 Mediterranean chondrichthyans previously unrepresented in public repositories. DNA metabarcoding data correctly identifies almost all bycaught species and detected five additional species not present in the net, highlighting the potential of this method to detect rare species. Chondrichthyan diversity showed significant association with some key environmental variables (depth and distance from the coast) and the fishing effort, which are known to influence demersal communities. As DNA metabarcoding progressively positions itself as a staple tool for biodiversity monitoring, we expect that its melding with opportunistic, fishery-dependent surveys could reveal additional distribution features of threatened and elusive megafauna.
COVID-19-Induced Changes in Photoplethysmography
Authors: Peck Jacquelin , Wishon Michael J , Wittels Harrison , Hasty Frederick , Hendricks Stephanie , Lee Stephen J , Wittels S Howard 
Published: February 2023

ABSTRACT

Introduction
Photoplethysmography (PPG) is the science behind many commonly used medical devices such as the pulse oximeter. PPG changes, herein as “PPG dropouts,” have been described in existing in vitro studies following artificially induced clot activation. Because COVID-19 causes increased arterial, venous, and microvascular clot formation, our hypothesis is that PPG dropouts identified in vitro can also be found in vivo in patients with COVID-19. The aim of this study is to evaluate PPG recordings and D-dimer levels for patients hospitalized with COVID-19 and compare them with the PPG tracings from non-COVID controls.

Materials and Methods
PPG recordings were obtained for 197 ICU patients with COVID-19 and 300 non-COVID controls. PPG tracings were obtained using a TigerTech CovidPlus monitor, which received U.S. FDA emergency use authorization in March 2020 for monitoring the biometrics of patients with COVID-19 and featured unfiltered red and infrared spectrum PPG monitoring. D-dimer lab results were also recorded whenever available.

Results
The results demonstrated significant differences in the prevalence rate of PPG dropout among patients with COVID-19 vs. non-COVID controls. The median PPG dropout rate was 0.58 for COVID-19 patients (median 0.58, IQR 0.42-0.72, P &lt; .05) as opposed to a median 0.0 for non-COVID patients (median 0.0, IQR 0.0-0.0, P &lt; .05). Furthermore, at least one incidence of PPG dropout was detected in 100% of COVID-19 patients, as opposed to 2.3% of non-COVID controls (P &lt; .05). PPG dropout also correlated closely with the normalized serum D-dimer levels taken on the same day. The change in the normalized D-dimer levels was plotted against the change in PPG dropout, and a line of best fit was created. Linear regression resulted in R2 = 0.743 (P &lt; .05), indicating that changes in the PPG dropout rate correlate with hemorheological changes in COVID-19 patients.

Conclusions
PPG dropout, like D-dimer, may not be specific for COVID-19. However, the inflammatory nature of the disease and the prevalence of prolonged ICU created a large sample size and allowed the authors to observe PPG changes in vivo in a statistically meaningful way. Further confirmatory studies are needed to confirm the potential application of PPG dropout as a measure of inflammation in other disease processes.
ETHYLENE INSENSITIVE3/EIN3-LIKE1 modulate FLOWERING LOCUS C expression via histone demethylase interaction
Authors: Xu Mengting , Li Xiaoxiao , Xie Wei , Lin Chuyu , Wang Qiannan , Tao Zeng 
Published: February 2023

Abstract
Time to flowering (vegetative to reproductive phase) is tightly regulated by endogenous factors and environmental cues to ensure proper and successful reproduction. How endogenous factors coordinate with environmental signals to regulate flowering time in plants is unclear. Transcription factors ETHYLENE INSENSITIVE 3 (EIN3) and its homolog EIN3 LIKE 1 (EIL1) are the core downstream regulators in ethylene signal transduction, and their null mutants exhibit late flowering in Arabidopsis (Arabidopsis thaliana); however, the precise mechanism of floral transition remains unknown. Here, we reveal that FLOWERING LOCUS D (FLD), encoding a histone demethylase acting in the autonomous pathway of floral transition, physically associates with EIN3 and EIL1. Loss of EIN3 and EIL1 upregulated transcriptional expression of the floral repressor FLOWERING LOCUS C (FLC) and its homologs in Arabidopsis, and ethylene-insensitive mutants displayed inhibited flowering in an FLC-dependent manner. We further demonstrated that EIN3 and EIL1 directly bind to FLC loci, modulating their expression by recruiting FLD and thereafter removing di-methylation of lysine 4 on histone H3 (H3K4me2). In plants treated with 1-aminocyclopropane-1-carboxylic acid, decreased expression of FLD resulted in increased enrichment of H3K4me2 at FLC loci and transcriptional activation of FLC, leading to floral repression. Our study reveals the role of EIN3 and EIL1 in FLC-dependent and ethylene-induced floral repression and elucidates how phytohormone signals are transduced into chromatin-based transcriptional regulation.
School Shootings, Protests, and the Gun Culture in the United States
Authors: Olzak Susan 
Published: February 2023

Abstract
Scholars document that attitudes toward guns and gun policy reflect deeply entrenched cultures that overlap with ideological affiliations and party politics. Does exposure to dramatic events such as school shootings and protests regarding gun control affect these patterns? I explore two aspects of the gun culture: attitudes favoring (or rejecting) stricter gun policies and the number of memberships in a key organization supporting the expansion of gun rights, the National Rifle Association (NRA). I first argue that school shootings are significant triggering events that become associated with attitudes favoring gun restrictions. A second argument holds that while triggering events such as school shootings reinvigorate the growth of a gun-rights organization, school shootings that are also accompanied by gun-control protests will decrease growth in that organization. To examine these ideas, I combine information from national exit poll data on respondents’ attitudes toward gun policy with state-level information on the counts of recent school shootings, gun-policy protests, existing laws restricting gun use, and membership in the NRA. To minimize problems associated with observational data, the analysis of public opinion applies Coarsened Exact Matching techniques followed by analysis using mixed-level logit. The second analysis uses data on gun control protests, school shootings, and NRA memberships in states over time. Results show that conservatives (but not liberals) exposed to more school shootings favor more restrictive gun policies. The second, longitudinal analysis found that there is a significant interaction effect between increases in school shootings and gun control protests that diminishes NRA memberships significantly.
A Jasmonic Acid–Related Mechanism Affects ARGONAUTE5 Expression and Antiviral Defense Against Potato Virus X in Arabidopsis thaliana
Authors: Silva-Martins Guilherme , Roussin-Léveillée Charles , Bolaji Ayooluwa , Veerapen Varusha Pillay , Moffett Peter 
Published: February 2023

During virus infection, Argonaute (AGO) proteins bind to Dicer-produced virus small interfering RNAs and target viral RNA based on sequence complementarity, thereby limiting virus proliferation. The Arabidopsis AGO2 protein is important for resistance to multiple viruses, including potato virus X (PVX). In addition, AGO5 is important in systemic defense against PVX. Normally AGO5 is expressed only in reproductive tissues, and its induction by virus infection is thought to be important for its participation in antiviral defense. However, it is unclear what mechanisms induce AGO5 expression in response to virus infection. Here, we show that dde2-2, a mutant compromised in jasmonic acid (JA) biosynthesis, displays constitutive upregulation of AGO5. This mutant also showed increased resistance to PVX and this resistance was dependent on a functional AGO5 gene. Furthermore, methyl jasmonate treatment ablated AGO5 expression in leaves during virus infection and resulted in increased susceptibility to virus. Our results further support a role for AGO5 in antiviral RNA silencing and a negative regulation by JA, a plant hormone associated with defense against plant-feeding arthropods, which are often the vectors of plant viruses. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .