bluuebunny/crossref_metadata_2025_split huggingface dataset:
Humanoid Intelligent Display Platform for Audiovisual Interaction and Sound Identification
Authors: Wang Yang , Gao Wenli , Yang Shuo , Chen Qiaolin , Ye Chao , Wang Hao , Zhang Qiang , Ren Jing , Ning Zhijun , Chen Xin , Shao Zhengzhong , Li Jian , Liu Yifan , Ling Shengjie 
Published: October 2023

AbstractThis study proposes a rational strategy for the design, fabrication and system integration of the humanoid intelligent display platform (HIDP) to meet the requirements of highly humanized mechanical properties and intelligence for human–machine interfaces. The platform's sandwich structure comprises a middle light-emitting layer and surface electrodes, which consists of silicon elastomer embedded with phosphor and silk fibroin ionoelastomer, respectively. Both materials are highly stretchable and resilient, endowing the HIDP with skin-like mechanical properties and applicability in various extreme environments and complex mechanical stimulations. Furthermore, by establishing the numerical correlation between the amplitude change of animal sounds and the brightness variation, the HIDP realizes audiovisual interaction and successful identification of animal species with the aid of Internet of Things (IoT) and machine learning techniques. The accuracy of species identification reaches about 100% for 200 rounds of random testing. Additionally, the HIDP can recognize animal species and their corresponding frequencies by analyzing sound characteristics, displaying real-time results with an accuracy of approximately 99% and 93%, respectively. In sum, this study offers a rational route to designing intelligent display devices for audiovisual interaction, which can expedite the application of smart display devices in human–machine interaction, soft robotics, wearable sound-vision system and medical devices for hearing-impaired patients.
Improving the Social Connectedness of Older Adults Through Digital Social Gaming - A Pilot Study
Authors: Janssen Jeroen H. M. , van Es V. E. , Châtel Bas D. L. , Tieben Rob , Deen Menno , Olde Rikkert Marcel G. M. , Peeters G. M. E. E. 
Published: October 2023

AbstractBackgroundDigital social interventions for older adults have become increasingly important due to their flexibility and potential to reduce loneliness. Digital games provide easy and fun interaction possibilities but need more exploration.MethodsUsing a mixed-methods design, we piloted a chat-based mobile application (PhotoSnake) designed to elicit social connectedness. Participants joined two in-person workshops two weeks apart and a focus group afterwards. They filled in a demographics and loneliness questionnaire pre- and post-intervention, and we collected anonymous in-app data.ResultsAt baseline, participants (N = 15) were 74 years old, moderately lonely (Median = 2.0), partnered (40%), retired (93%), and living independently alone (53%) or with others (47%). Loneliness did not change over time. They valued the in-person workshops to get to know each other. Participants enjoyed playing the game for a few days but felt it lacked sufficient variation to persist gameplay. Furthermore, the in-app interaction mainly focused on the game and was perceived as too superficial to be meaningful.ConclusionThis study helps design future digital interventions by showing the importance of in-person contact for engagement and meaningfulness. Players do not automatically label in-game interaction as valuable, and game design should focus on aiding players in creating personal interaction moments.
Enhancing seismic performance of buckling-restrained brace frames equipped with innovative bracing systems
Authors: Mohebi Benyamin , Sartipi Mohammad , Kazemi Farzin 
Published: October 2023

Abstract
Nowadays, to improve the performance of conventional bracing systems, in which, buckling in the pressure loads is the main disadvantage, the buckling-restrained brace (BRB) is introduced as a solution. In this study, the performance of the BRB system was improved with innovative lateral-resisting systems of double-stage yield buckling-restrained brace (DYB), and a combination of DYB improved with shape memory alloy (SMA) materials (DYBSMA). The proposed systems have been verified and implemented in the 2- to 12-story elevation steel buckling-restrained brace frames (BRBFs). To evaluate their effects on the seismic performance, two types of analysis including nonlinear dynamic analysis (NDA) and incremental dynamic analysis (IDA) were performed considering design-based earthquakes (DBE) and maximum considered earthquakes (MCE) levels for far-field ground motions. The results showed that the BRB system in all BRBFs had the highest values of residual drift ratio (RDRMed) demands, while implementing innovative DYBSMA can considerably reduce the values of RDRMed compared to other lateral-resisting systems. In addition, under MCE level, the BRB-DYBSMA system had lower values of the interstory drift ratio (IDRMed) and RDRMed demands (e.g., the IDRMed reduced by 79.67% and 18.5% compared to BRB and DYB systems, respectively), and can be introduced as the best lateral-resisting system. Therefore, the proposed BRB-DYBSMA system can effectively reduce the IDRMed and RDRMed demands, as result, higher performance levels can be achieved, as well as, the collapse probability occurrence over 1 and 50 years impressively decreased.
Application of processing maps and numerical modelling for identification of parameters and limitations of hot forging process of 80MnSi8-6 steel
Authors: Wojtaszek Marek , Lisiecki Łukasz , Łukaszek-Sołek Aneta , Korpała Grzegorz , Zyguła Krystian , Śleboda Tomasz , Jabłońska Magdalena Barbara , Prahl Ulrich 
Published: October 2023

Abstract
The processing maps developed by dynamic material modelling (DMM) method are now widely used in the design of hot forming processes. However, this applies to those processes that are relatively fast or are carried out under isothermal conditions, when it is possible to maintain the deformation parameters within the processing window. In the case of multi-stage free forging, the temperature successively decreases during subsequent operations and is increased during inter-process reheating. Under such conditions, processing maps in direct form are not applicable. The proposed solution is to implement the data obtained by the DMM method into calculations carried out by the finite element method (FEM). This approach leads to obtain the distributions of DMM parameters in the volume of the feedstock at successive forging stages. Selected results of a combined DMM/FEM analysis of a multi-stage hot forging process of 80MnSi8-6 steel are presented. The starting data for the analysis were the flow curves of this material, determined from compression tests. The processing maps were developed and processing windows were determined. The results of the DMM analysis were verified by microstructure observations. Data from the DMM analysis were implemented into QForm software using LUA scripts. An integrated FEM/DMM numerical analysis of the process of a multi-step hot free forging of an example product was performed. The geometry of the tools and a sequence of operations were developed. The distributions of the DMM parameters and the hot deformation activation energy in the forging volume after successive forging sequences were analyzed.
Radiofrequency ice dielectric measurements at Summit Station, Greenland
Authors: Aguilar Juan Antonio , Allison Patrick , Besson Dave , Bishop Abby , Botner Olga , Bouma Sjoerd , Buitink Stijn , Cataldo Maddalena , Clark Brian A. , Couberly Kenny , Curtis-Ginsberg Zach , Dasgupta Paramita , de Kockere Simon , de Vries Krijn D. , Deaconu Cosmin , DuVernois Michael A. , Eimer Anna , Glaser Christian , Hallgren Allan , Hallmann Steffen , Hanson Jordan Christian , Hendricks Bryan , Henrichs Jakob , Heyer Nils , Hornhuber Christian , Hughes Kaeli , Karg Timo , Karle Albrecht , Kelley John L. , Korntheuer Michael , Kowalski Marek , Kravchenko Ilya , Krebs Ryan , Lahmann Robert , Latif Uzair , Mammo Joseph , Marsee Matthew J. , Meyers Zachary S. , Michaels Kelli , Mulrey Katharine , Muzio Marco , Nelles Anna , Novikov Alexander , Nozdrina Alisa , Oberla Eric , Oeyen Bob , Plaisier Ilse , Punsuebsay Noppadol , Pyras Lilly , Ryckbosch Dirk , Scholten Olaf , Seckel David , Seikh Mohammad Ful Hossain , Smith Daniel , Stoffels Jethro , Southall Daniel , Terveer Karen , Toscano Simona , Tosi Delia , Van Den Broeck Dieder J. , van Eijndhoven Nick , Vieregg Abigail G. , Vischer Janna Z. , Welling Christoph , Williams Dawn R. , Wissel Stephanie , Young Robert , Zink Adrian 
Published: October 2023

Abstract
We recently reported on the radio-frequency attenuation length of cold polar ice at Summit Station, Greenland, based on bi-static radar measurements of radio-frequency bedrock echo strengths taken during the summer of 2021. Those data also allow studies of (a) the relative contributions of coherent (such as discrete internal conducting layers with sub-centimeter transverse scale) vs incoherent (e.g. bulk volumetric) scattering, (b) the magnitude of internal layer reflection coefficients, (c) limits on signal propagation velocity asymmetries (‘birefringence’) and (d) limits on signal dispersion in-ice over a bandwidth of ~100 MHz. We find that (1) attenuation lengths approach 1 km in our band, (2) after averaging 10 000 echo triggers, reflected signals observable over the thermal floor (to depths of ~1500 m) are consistent with being entirely coherent, (3) internal layer reflectivities are ≈–60

$\to$

–70 dB, (4) birefringent effects for vertically propagating signals are smaller by an order of magnitude relative to South Pole and (5) within our experimental limits, glacial ice is non-dispersive over the frequency band relevant for neutrino detection experiments.
High-dose cholecalciferol supplementation to obese infertile men is sufficient to reach adequate vitamin D status
Authors: Holt Rune , Jorsal Mads Joon , Yahyavi Sam Kafai , Qin Simeng , Juul Anders , Jørgensen Niels , Blomberg Jensen Martin 
Published: October 2023

AbstractObesity is associated with low vitamin D status, and the optimal supplement and dosage of cholecalciferol (vitamin D3) or calcidiol (25OHD) for individuals with obesity have been debated. We aimed to determine the effect of high-dose vitamin D3 supplementation on achieving adequate vitamin D levels among infertile men with normal weight v. obesity. Here, we present secondary end points from a single-centre, double-blinded, randomised clinical trial, comprising 307 infertile men randomised to active or placebo treatment for 150 days. Men in the active group initially received an oral bolus of 300 000 mg of vitamin D3, followed by daily supplementation with 1400 mg of vitamin D3 and 500 mg of calcium. Baseline BMI was listed as a predefined subgroup. At baseline, serum 25OHD was significantly higher in men with normal weight (BMI < 25 kg/m2) compared with men with overweight (BMI 25–30 kg/m2) and obesity (BMI > 30 kg/m2) (48 nmol/l v. 45 nmol/l and 39 nmol/l, respectively; P = 0·024). After the intervention, men with normal weight, overweight and obesity treated with vitamin D3 had a significantly higher serum 25OHD compared with corresponding placebo-treated men (BMI < 25 kg/m2: 92 nmol/l v. 53 nmol/l, BMI = 25–30 kg/m2: 87 nmol/l v. 49 nmol/l and BMI > 30 kg/m2: 85 nmol/l v. 48 nmol/l; P < 0·001 for all, respectively). In conclusion, we show that high-dose vitamin D3 supplementation to infertile men with obesity and low vitamin D status is sufficient to achieve adequate serum 25OHD levels.
Day-to-day affect fluctuations in adults with childhood trauma history: a two-week ecological momentary assessment study
Authors: Kuzminskaite Erika , Vinkers Christiaan H. , Smit Arnout C. , van Ballegooijen Wouter , Elzinga Bernet M. , Riese Harriëtte , Milaneschi Yuri , Penninx Brenda W.J.H. 
Published: October 2023

AbstractBackgroundChildhood trauma (CT) may increase vulnerability to psychopathology through affective dysregulation (greater variability, autocorrelation, and instability of emotional symptoms). However, CT associations with dynamic affect fluctuations while considering differences in mean affect levels across CT status have been understudied.Methods346 adults (age = 49.25 ± 12.55, 67.0% female) from the Netherlands Study of Depression and Anxiety participated in ecological momentary assessment. Positive and negative affect (PA, NA) were measured five times per day for two weeks by electronic diaries. Retrospectively-reported CT included emotional neglect and emotional/physical/sexual abuse. Linear regressions determined associations between CT and affect fluctuations, controlling for age, sex, education, and mean affect levels.ResultsCompared to those without CT, individuals with CT reported significantly lower mean PA levels (Cohen'sd= −0.620) and higher mean NA levels (d= 0.556) throughout the two weeks. CT was linked to significantly greater PA variability (d= 0.336), NA variability (d= 0.353), and NA autocorrelation (d= 0.308), with strongest effects for individuals reporting higher CT scores. However, these effects were entirely explained by differences in mean affect levels between the CT groups. Findings suggested consistency of results in adults with and without lifetime depressive/anxiety disorders and across CT types, with sexual abuse showing the smallest effects.ConclusionsIndividuals with CT show greater affective dysregulation during the two-week monitoring of emotional symptoms, likely due to their consistently lower PA and higher NA levels. It is essential to consider mean affect level when interpreting the impact of CT on affect dynamics.
Dietary inflammatory potential is associated with higher odds of hepatic steatosis in US adults: a cross-sectional study
Authors: Yang Hu , Zhang Tengfei , Song Wen , Peng Zhaohong , Zhu Yu , Huang Yong , Li Xiude , Zhang Zhuang , Tang Min , Yang Wanshui 
Published: October 2023

AbstractObjective:Inflammation plays a critical role in the progression of chronic liver diseases, and diet can modulate inflammation. Whether an inflammatory dietary pattern is associated with higher risk of hepatic steatosis or fibrosis remains unclear. We aimed to investigate the associations between inflammatory dietary pattern and the odds of hepatic steatosis and fibrosis.Design:In this nationwide cross-sectional study, diet was measured using two 24-h dietary recalls. Empirical dietary inflammatory pattern (EDIP) score was derived to assess the inflammatory potential of usual diet, which has been validated to highly predict inflammation markers in the study population. Controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) were derived from FibroScan to define steatosis and fibrosis, respectively.Setting:US National Health and Nutrition Examination Survey.Participants:4171 participants aged ≥18 years.Results:A total of 1436 participants were diagnosed with S1 steatosis (CAP ≥ 274 dB/m), 255 with advanced fibrosis (LSM ≥ 9·7 kPa). Compared with those in the lowest tertile of EDIP-adherence scores, participants in the highest tertile had 74 % higher odds of steatosis (OR: 1·74, 95 % CI (1·26, 2·41)). Such positive association persisted among never drinkers, or participants who were free of hepatitis B and/or C. Similarly, EDIP was positively associated with CAP in multivariate linear model (P< 0·001). We found a non-significant association of EDIP score with advanced fibrosis or LSM (P= 0·837).Conclusions:Our findings suggest that a diet score that is associated with inflammatory markers is associated with hepatic steatosis. Reducing or avoiding pro-inflammatory diets intake might be an attractive strategy for fatty liver disease prevention.
Combining Stochastic Parameterized Reduced‐Order Models With Machine Learning for Data Assimilation and Uncertainty Quantification With Partial Observations
Authors: Mou Changhong , Smith Leslie M. , Chen Nan 
Published: October 2023

AbstractA hybrid data assimilation algorithm is developed for complex dynamical systems with partial observations. The method starts with applying a spectral decomposition to the entire spatiotemporal fields, followed by creating a machine learning model that builds a nonlinear map between the coefficients of observed and unobserved state variables for each spectral mode. A cheap low‐order nonlinear stochastic parameterized extended Kalman filter (SPEKF) model is employed as the forecast model in the ensemble Kalman filter to deal with each mode associated with the observed variables. The resulting ensemble members are then fed into the machine learning model to create an ensemble of the corresponding unobserved variables. In addition to the ensemble spread, the training residual in the machine learning‐induced nonlinear map is further incorporated into the state estimation, advancing the diagnostic quantification of the posterior uncertainty. The hybrid data assimilation algorithm is applied to a precipitating quasi‐geostrophic (PQG) model, which includes the effects of water vapor, clouds, and rainfall beyond the classical two‐level QG model. The complicated nonlinearities in the PQG equations prevent traditional methods from building simple and accurate reduced‐order forecast models. In contrast, the SPEKF forecast model is skillful in recovering the intermittent observed states, and the machine learning model effectively estimates the chaotic unobserved signals. Utilizing the calibrated SPEKF and machine learning models under a moderate cloud fraction, the resulting hybrid data assimilation remains reasonably accurate when applied to other geophysical scenarios with nearly clear skies or relatively heavy rainfall, implying the robustness of the algorithm for extrapolation.
Sands on Meridiani Planum, Mars
Authors: Kozakiewicz J. , Kania M. , Salata D. , Nowak L. 
Published: October 2023

AbstractThe analyses of 184 sediment targets and more than 70,000 individual grains revealed that along the Opportunity rover traverse there are four distinct fractions of deposits related to different geomorphological settings: (a) dust mixed with very fine sand is common behind topographical obstacles, (b) fine sands are deposited in depressions, (c) very coarse sands occur in coarse‐grained ripple fields, and (d) gravel dominates at the rims of craters and on bedrock as lag deposits. Medium size sands were not observed on the plains, but they can be trapped in relatively large craters, where they form dunes and are within coarse‐grained ripples and transverse aeolian ridges (TARs). The fine sands show no regional variations in chemical composition and granulometry, as these sands are easily transported by wind. The very coarse sands vary in composition and shape between the plains and the Endeavour crater rim as their sources are local and their transport distances are short. On the plains, the gravel and the coarse sands are enriched in iron and characterized by higher roundness than the grains from the Endeavour crater rim. The source of iron‐rich, rounded grains on the plains are hematite spherules that are eroded out of Burns formation rocks. The smallest, the best sorted, and the least rounded coarse sand samples are found on coarse‐grained ripple crests. They are mainly composed of spherule fragments and their low roundness indicates shorter transport path lengths than those of grains transported in the past when coarse‐grained ripples migrated.
Coevolution between marine Aeromonas and phages reveals temporal trade-off patterns of phage resistance and host population fitness
Authors: Xu Zhenhe , Ding Zihan , Shi Lijia , Xie Yuzhen , Zhang Yuanxing , Wang Zhuang , Liu Qin 
Published: October 2023

Abstract
Coevolution of bacteria and phages is an important host and parasite dynamic in marine ecosystems, contributing to the understanding of bacterial community diversity. On the time scale, questions remain concerning what is the difference between phage resistance patterns in marine bacteria and how advantageous mutations gradually accumulate during coevolution. In this study, marine Aeromonas was co-cultured with its phage for 180 days and their genetic and phenotypic dynamics were measured every 30 days. We identified 11 phage resistance genes and classified them into three categories: lipopolysaccharide (LPS), outer membrane protein (OMP), and two-component system (TCS). LPS shortening and OMP mutations are two distinct modes of complete phage resistance, while TCS mutants mediate incomplete resistance by repressing the transcription of phage genes. The co-mutation of LPS and OMP was a major mode for bacterial resistance at a low cost. The mutations led to significant reductions in the growth and virulence of bacterial populations during the first 60 days of coevolution, with subsequent leveling off. Our findings reveal the marine bacterial community dynamics and evolutionary trade-offs of phage resistance during coevolution, thus granting further understanding of the interaction of marine microbes.
Endothelial cell-derived RSPO3 activates Gαi1/3-Erk signaling and protects neurons from ischemia/reperfusion injury
Authors: Liu Ting-tao , Shi Xin , Hu Hong-wei , Chen Ju-ping , Jiang Qin , Zhen Yun-Fang , Cao Cong , Liu Xue-wu , Liu Jian-gang 
Published: October 2023

AbstractThe current study explores the potential function and the underlying mechanisms of endothelial cell-derived R-spondin 3 (RSPO3) neuroprotection against ischemia/reperfusion-induced neuronal cell injury. In both neuronal cells (Neuro-2a) and primary murine cortical neurons, pretreatment with RSPO3 ameliorated oxygen and glucose deprivation (OGD)/re-oxygenation (OGD/R)-induced neuronal cell death and oxidative injury. In neurons RSPO3 activated the Akt, Erk and β-Catenin signaling cascade, but only Erk inhibitors reversed RSPO3-induced neuroprotection against OGD/R. In mouse embryonic fibroblasts (MEFs) and neuronal cells, RSPO3-induced LGR4-Gab1-Gαi1/3 association was required for Erk activation, and either silencing or knockout of Gαi1 and Gαi3 abolished RSPO3-induced neuroprotection. In mice, middle cerebral artery occlusion (MCAO) increased RSPO3 expression and Erk activation in ischemic penumbra brain tissues. Endothelial knockdown or knockout of RSPO3 inhibited Erk activation in the ischemic penumbra brain tissues and increased MCAO-induced cerebral ischemic injury in mice. Conversely, endothelial overexpression of RSPO3 ameliorated MCAO-induced cerebral ischemic injury. We conclude that RSPO3 activates Gαi1/3-Erk signaling to protect neuronal cells from ischemia/reperfusion injury.
JMJD5 inhibits lung cancer progression by facilitating EGFR proteasomal degradation
Authors: Shen Jing , Liu Guiling , Qi Hongyan , Xiang Xueping , Shao Jimin 
Published: October 2023

AbstractAberrant activation of epidermal growth factor receptor (EGFR) signaling is closely related to the development of non-small cell lung cancer (NSCLC). However, targeted EGFR therapeutics such as tyrosine kinase inhibitors (TKIs) face the challenge of EGFR mutation-mediated resistance. Here, we showed that the reduced JmjC domain-containing 5 (JMJD5) expression is negatively associated with EGFR stability and NSCLC progression. Mechanically, JMJD5 cooperated with E3 ligase HUWE1 to destabilize EGFR and EGFR TKI-resistant mutants for proteasomal degradation, thereby inhibiting NSCLC growth and promoting TKI sensitivity. Furthermore, we identified that JMJD5 can be transported into recipient cells via extracellular vesicles, thereby inhibiting the growth of NSCLC. Together, our findings demonstrate the tumor-suppressive role of JMJD5 in NSCLC and suggest a putative therapeutic strategy for EGFR-related NSCLC by targeting JMJD5 to destabilize EGFR.