bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on the Development of Driver Behavior Simulation Dummy for the Performance Evaluation of Driver Monitoring System
Authors: Yae Jin Hae , Oh Young Dal , Kim Moon Sik , Park Sun Hong 
Published: May 2024

AbstractDriver monitoring system (DMS) was mainly developed to prevent accident risks by analyzing facial movements related to drowsiness and carelessness in real time such as driver’s gaze, blink, and head angle through cameras and warning the driver. Recently, the scope has been expanded to monitor passengers, and it has been linked to safety functions such as neglecting children, empty seats, or controlling airbags on seats with people under safety weight. However, evaluation research for algorithm advancement and performance optimization is relatively insufficient. In addition, the verification system is facing limitations such as personal information protection problems caused by the subject’s face data, errors in reproducing the subject’s drowsy and careless behavior, and differences in behavior according to individual differences. Therefore, as the importance of traffic safety is emphasized, an evaluation tool that can more efficiently and systematically evaluate the performance of DMS is needed. In this study, a driver behavior simulation dummy was developed that can quantitatively control the movement of the driver’s face and upper body. The driver behavior simulation dummy was developed in three stages in the order of function and specification definition, design and manufacture according to specifications, and verification through error tests for each function.
Bioinformatics analysis and experimental validation of m6A and cuproptosis-related lncRNA NFE4 in clear cell renal cell carcinoma
Authors: Feng Rui , Li Haolin , Meng Tong , Fei Mingtian , Yang Cheng 
Published: May 2024

Abstract
Purpose
This study aimed to construct an m6A and cuproptosis-related long non-coding RNAs (lncRNAs) signature to accurately predict the prognosis of kidney clear cell carcinoma (KIRC) patients using the information acquired from The Cancer Genome Atlas (TCGA) database.

Methods
First, the co-expression analysis was performed to identify lncRNAs linked with N6-methyladenosine (m6A) and cuproptosis in ccRCC. Then, a model encompassing four candidate lncRNAs was constructed via univariate, least absolute shrinkage together with selection operator (LASSO), and multivariate regression analyses. Furthermore, Kaplan–Meier, principal component, functional enrichment annotation, and nomogram analyses were performed to develop a risk model that could effectively assess medical outcomes for ccRCC cases. Moreover, the cellular function of NFE4 in Caki-1/OS-RC-2 cultures was elucidated through CCK-8/EdU assessments and Transwell experiments. Dataset outcomes indicated that NFE4 can have possible implications in m6A and cuproptosis, and may promote ccRCC progression.

Results
We constructed a panel of m6A and cuproptosis-related lncRNAs to construct a prognostic prediction model. The Kaplan–Meier and ROC curves showed that the feature had acceptable predictive validity in the TCGA training, test, and complete groups. Furthermore, the m6A and cuproptosis-related lncRNA model indicated higher diagnostic efficiency than other clinical features. Moreover, the NFE4 function analysis indicated a gene associated with m6A and cuproptosis-related lncRNAs in ccRCC. It was also revealed that the proliferation and migration of Caki-1 /OS-RC-2 cells were inhibited in the NFE4 knockdown group.

Conclusion
Overall, this study indicated that NFE4 and our constructed risk signature could predict outcomes and have potential clinical value.
CEACAM6 expression and function in tumor biology: a comprehensive review
Authors: Zhao Dong , Cai Fei , Liu Xuefei , Li Tingting , Zhao Ershu , Wang Xinlong , Zheng Zhendong 
Published: May 2024

AbstractCarcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) is an immunoglobulin superfamily protein primarily expressed on epithelial surfaces and myeloid cells. It plays a significant role in cancer progression by inhibiting apoptosis, promoting drug resistance, and facilitating cancer cell invasion and metastasis. Overexpression of CEACAM6 has been observed in various cancers, including lung, breast, colorectal, and hepatocellular cancers, and is associated with poorer overall survival and disease-free survival. Its differential expression on tumor cell surfaces makes it a promising cancer marker. This review aims to provide a comprehensive summary of CEACAM6’s role in different cancer types, its involvement in signaling pathways, and recent advancements in CEACAM6-targeted treatments.
Revision of restrictive bariatric procedures in elderly patients: results at a 5-year follow-up
Authors: Abu-Abeid Adam , Gosher Noa , Shnell Mati , Fishman Sigal , Keidar Andrei , Lahat Guy , Eldar Shai Meron 
Published: May 2024

AbstractRevisional Bariatric Surgery (RBS) is increasing in popularity. Elderly patients (> 65 years old) are sometimes referred for RBS evaluation. The aim of this study is to evaluate outcomes of elderly patients undergoing RBS. A retrospective analysis of a cohort from a single–tertiary bariatric center. All elderly patients undergoing RBS after restrictive procedures between 2012 and 2022 were included. Thirty Nine patients undergoing RBS were included in the comparative analysis − 23 patients (57.5%) after adjustable gastric banding (s/p LAGB) and 16 patients (40%) after Sleeve Gastrectomy (s/p SG). The mean age and body mass index (BMI) of patients were comparable (67.2 ± 2.8 years and 38.3 ± 7.4, respectively). There was no difference in associated medical problems except reflux which was higher in s/p SG (68% vs. 13%; p < 0.001). The mean time interval between surgeries was 8.7 ± 5.1 years. The surgeries included One anastomosis gastric bypass (n = 22), SG (n = 8) and Roux-en-y gastric bypass (n = 9). Early major complication rates were comparable (4.3% and 12.5%; p = 0.36), and readmission rate was higher in patients s/p SG (p = 0.03). Ninety percent of patients were available to a follow-up of 59.8 months. The mean BMI and total weight loss was 29.2 and 20.3%, respectively with no difference between groups. The rate of patients with associated medical problems at last follow-up was significantly reduced. Five patients (12.5%) underwent revisional surgery due to complications during follow-up. In conclusion, RBS in the elderly is associated with a reasonable complication rate and is effective in terms of weight loss and improvement of associated medical problems in a 5-year follow-up.
RVE determination and developement of an anisotropic elastic model for auxetic sheet metal
Authors: Gordanshekan Arash , Ripplinger Wolfgang , Diebels Stefan 
Published: May 2024

AbstractThis article deals with the development of an elastic tetragonal model for the 2D auxetic rotating units structures in the framework of orthogonal transformations. The existing anisotropy in the structure was first determined by numerical simulations on the samples with different pattern orientation angles. A suitable representative volume element (RVE), which correctly represents the mechanical properties of the whole structure both in macroscale and in microscale, was then proposed by implementation of the kinematic periodic boundary conditions. In the next step, with the help of the orthogonal transformations relations, an anisotropic elastic model was developed, which correctly reflects the present tetragonal symmetry in the structure. Finally, the model parameters were identified and validated with the help of the corresponding experiments
Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual Variation of Urban Spring Vegetation Phenology
Authors: Yin Peiyi , Li Xuecao , Pellikka Petri 
Published: May 2024

AbstractUrban warming significantly advances spring vegetation phenology. However, the potential effect of daytime and nighttime warming on the start of the urban vegetation growing season (SOS) remains to be determined. Here, we characterized the interannual response of SOS to daytime and nighttime warming from 2003 to 2020 using remotely sensed phenological observations across cities in the Northern Hemisphere (>30°N). We implemented the partial correlation analysis and the process‐based phenology model to quantify the effects of daytime and nighttime warming on vegetation. We found that either daytime or nighttime warming can promote an earlier urban spring SOS for Northern Hemisphere cities, while the phenological response varies across cities. Additionally, the response of SOS to daytime and nighttime urban warming (ST, expressed in advance days of SOS per °C warming) offset each other at an average rate of 0.08 days/°C per decade. Our results suggest that daytime warming predominates the temporal variation of SOS for high‐latitude cities, whereas nighttime warming is the primary driver of SOS change in low‐latitude cities. By revealing the effect and contributions of daytime and nighttime warming on the urban SOS, our results highlight the importance of considering daytime and nighttime temperatures separately in the response of vegetation phenology to urban thermal warming and climate variability.
Use of Terrestrial High Frequency Signals in Riometer Data to Explore the Size of D‐Region Electron Density Enhancements
Authors: Ghaly F. , Spanswick E. , Gillies R. , Cameron T. , Skone S. , Fiori R. A. D. , Weatherwax A. T. 
Published: May 2024

AbstractThis paper presents the first observations from the prototype Space Weather Adaptive Network (SWAN) riometers, which are capable of simultaneous measurements of narrow‐band terrestrial signal power and Cosmic Noise Absorption (CNA). We describe a methodology by which we can use coincident CNA and loss of known skywave‐mode, High Frequency (HF) signals to estimate a minimum size (geographic extent) of D‐region electron density enhancements. We demonstrate our technique with an example event. This methodology and early results provide a pathfinder for a continent‐wide array of SWAN instruments which would be capable of utilizing multiple intersecting terrestrial HF ray paths to reconstruct the size of D‐region electron density enhancements at the time of initial HF signal loss.
A Nonstationary Stochastic Rainfall Generator Conditioned on Global Climate Models for Design Flood Analyses in the Mississippi and Other Large River Basins
Authors: Liu Yuan , Wright Daniel B. , Lorenz David J. 
Published: May 2024

AbstractExisting stochastic rainfall generators (SRGs) are typically limited to relatively small domains due to spatial stationarity assumptions, hindering their usefulness for flood studies in large basins. This study proposes StormLab, an SRG that simulates precipitation events at 6‐hr and 0.03° resolution in the Mississippi River Basin (MRB). The model focuses on winter and spring storms caused by water vapor transport from the Gulf of Mexico—the key flood‐generating storm type in the basin. The model generates anisotropic spatiotemporal noise fields that replicate local precipitation structures from observed data. The noise is transformed into precipitation through parametric distributions conditioned on large‐scale atmospheric fields from a climate model, reflecting spatial and temporal nonstationarity. StormLab can produce multiple realizations that reflect the uncertainty in fine‐scale precipitation arising from a specific large‐scale atmospheric environment. Model parameters were fitted monthly from December–May, based on storms identified from 1979 to 2021 ERA5 reanalysis data and Analysis of Record for Calibration (AORC) precipitation. StormLab then generated 1,000 synthetic years of precipitation events based on 10 CESM2 ensemble simulations. Empirical return levels of simulated annual maxima agree well with AORC data and show an overall increase in 1‐ to 500‐year events in the future period (2022–2050). To our knowledge, this is the first SRG simulating nonstationary, anisotropic high‐resolution precipitation over continental‐scale river basins, demonstrating the value of conditioning such stochastic models on large‐scale atmospheric variables. StormLab provides a wide range of extreme precipitation scenarios for design floods in the MRB and can be further extended to other large river basins.
Mitotic MTH1 inhibitor TH1579 induces PD-L1 expression and inflammatory response through the cGAS-STING pathway
Authors: Shen Jianyu , Guillén Mancina Emilio , Chen Shenyu , Manolakou Theodora , Gad Helge , Warpman Berglund Ulrika , Sanjiv Kumar , Helleday Thomas 
Published: May 2024

AbstractThe mitotic MTH1 inhibitor TH1579 is a dual inhibitor that inhibits mitosis and incorporation of oxidative DNA damage and leads to cancer-specific cell death. The response to immune checkpoint inhibitor (ICI) treatment is often augmented by DNA damaging agents through the cGAS-STING pathway. This study investigates whether TH1579 can improve the efficacy of immune checkpoint blockades through its immunomodulatory properties. Various human and murine cancer cell lines were treated with mitotic MTH1i TH1579, and the expression of PD-L1 and T-cell infiltration-related chemokines was analysed by flow cytometry and real-time qPCR. Syngeneic mouse models were established to examine the combined effect of TH1579 and PD-L1 blockade. In our investigation, we found that TH1579 upregulates PD-L1 expression at both the protein and mRNA levels in human cancer cell lines. However, in murine cell lines, the increase was less pronounced. An in vivo experiment in a syngeneic mouse melanoma model showed that TH1579 treatment significantly increased the efficacy of atezolizumab, an anti-PD-L1 antibody, compared to vehicle or atezolizumab monotherapy. Furthermore, TH1579 exhibited immune-modulatory properties, elevating cytokines such as IFN-β and chemokines including CCL5 and CXCL10, in a cGAS-STING pathway-dependent manner. In conclusion, TH1579 has the potential to improve ICI treatment by modulating immune checkpoint-related proteins and pathways.
Molecular signatures of astrocytes and microglia maladaptive responses to acute stress are rescued by a single administration of ketamine in a rodent model of PTSD
Authors: Valenza Marta , Facchinetti Roberta , Torazza Carola , Ciarla Claudia , Bronzuoli Maria Rosanna , Balbi Matilde , Bonanno Giambattista , Popoli Maurizio , Steardo Luca , Milanese Marco , Musazzi Laura , Bonifacino Tiziana , Scuderi Caterina 
Published: May 2024

AbstractStress affects the brain and alters its neuroarchitecture and function; these changes can be severe and lead to psychiatric disorders. Recent evidence suggests that astrocytes and microglia play an essential role in the stress response by contributing to the maintenance of cerebral homeostasis. These cells respond rapidly to all stimuli that reach the brain, including stressors. Here, we used a recently validated rodent model of post-traumatic stress disorder in which rats can be categorized as resilient or vulnerable after acute inescapable footshock stress. We then investigated the functional, molecular, and morphological determinants of stress resilience and vulnerability in the prefrontal cortex, focusing on glial and neuronal cells. In addition, we examined the effects of a single subanesthetic dose of ketamine, a fast-acting antidepressant recently approved for the treatment of resistant depression and proposed for other stress-related psychiatric disorders. The present results suggest a prompt glial cell response and activation of the NF-κB pathway after acute stress, leading to an increase in specific cytokines such as IL-18 and TNF-α. This response persists in vulnerable individuals and is accompanied by a significant change in the levels of critical glial proteins such as S100B, CD11b, and CX43, brain trophic factors such as BDNF and FGF2, and proteins related to dendritic arborization and synaptic architecture such as MAP2 and PSD95. Administration of ketamine 24 h after the acute stress event rescued many of the changes observed in vulnerable rats, possibly contributing to support brain homeostasis. Overall, our results suggest that pivotal events, including reactive astrogliosis, changes in brain trophic factors, and neuronal damage are critical determinants of vulnerability to acute traumatic stress and confirm the therapeutic effect of acute ketamine against the development of stress-related psychiatric disorders.
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
Authors: Yao Man , Richter Ole , Zhao Guangshe , Qiao Ning , Xing Yannan , Wang Dingheng , Hu Tianxiang , Fang Wei , Demirci Tugba , De Marchi Michele , Deng Lei , Yan Tianyi , Nielsen Carsten , Sheik Sadique , Wu Chenxi , Tian Yonghong , Xu Bo , Li Guoqi 
Published: May 2024

AbstractBy mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mechanisms to help neuromorphic computing achieve energy advantages is a fundamental issue. This work presents an application-oriented algorithm-software-hardware co-designed neuromorphic system for this issue. First, we design and fabricate an asynchronous chip called “Speck”, a sensing-computing neuromorphic system on chip. With the low processor resting power of 0.42mW, Speck can satisfy the hardware requirements of dynamic computing: no-input consumes no energy. Second, we uncover the “dynamic imbalance” in spiking neural networks and develop an attention-based framework for achieving the algorithmic requirements of dynamic computing: varied inputs consume energy with large variance. Together, we demonstrate a neuromorphic system with real-time power as low as 0.70mW. This work exhibits the promising potentials of neuromorphic computing with its asynchronous event-driven, sparse, and dynamic nature.
Duality between predictability and reconstructability in complex systems
Authors: Murphy Charles , Thibeault Vincent , Allard Antoine , Desrosiers Patrick 
Published: May 2024

AbstractPredicting the evolution of a large system of units using its structure of interaction is a fundamental problem in complex system theory. And so is the problem of reconstructing the structure of interaction from temporal observations. Here, we find an intricate relationship between predictability and reconstructability using an information-theoretical point of view. We use the mutual information between a random graph and a stochastic process evolving on this random graph to quantify their codependence. Then, we show how the uncertainty coefficients, which are intimately related to that mutual information, quantify our ability to reconstruct a graph from an observed time series, and our ability to predict the evolution of a process from the structure of its interactions. We provide analytical calculations of the uncertainty coefficients for many different systems, including continuous deterministic systems, and describe a numerical procedure when exact calculations are intractable. Interestingly, we find that predictability and reconstructability, even though closely connected by the mutual information, can behave differently, even in a dual manner. We prove how such duality universally emerges when changing the number of steps in the process. Finally, we provide evidence that predictability-reconstruction dualities may exist in dynamical processes on real networks close to criticality.
Humidity-tolerant porous polymer coating for passive daytime radiative cooling
Authors: Hong Dongpyo , Lee Yong Joon , Jeon Ok Sung , Lee In-Sung , Lee Se Hun , Won Jae Yeon , Jeon Young Pyo , La Yunju , Kim Seonmyeong , Park Gun-Sik , Yoo Young Joon , Park Sang Yoon 
Published: May 2024

AbstractCoating building envelopes with a passive daytime radiative cooling (PDRC) material has attracted enormous attention as an alternative cooling technique with minimal energy consumption and carbon footprint. Despite the exceptional performance and scalability of porous polymer coating (PPC), achieving consistent performance over a wide range of drying environments remains a major challenge for its commercialization as a radiative cooling paint. Herein, we demonstrate the humidity vulnerability of PPC during the drying process and propose a simple strategy to greatly mitigate the issue. Specifically, we find that the solar reflectance of the PPC rapidly decreases with increasing humidity from 30% RH, and the PPC completely losses its PDRC ability at 45% RH and even become a solar-heating material at higher humidity. However, by adding a small amount of polymer reinforcement to the PPC, it maintains its PDRC performance up to 60% RH, resulting in a 950% increase in estimated areal coverage compared to PPC in the United States. This study sheds light on a crucial consistency issue that has thus far been rarely addressed, and offers engineering guidance to handle this fundamental threat to the development of dependable PDRC paint for industrial applications.
Limit state equation and failure pressure prediction model of pipeline with complex loading
Authors: Sun Ming-ming , Fang Hong-yuan , Wang Nian-nian , Du Xue-ming , Zhao Hai-sheng , Zhai Ke-Jie 
Published: May 2024

AbstractAssessing failure pressure is critical in determining pipeline integrity. Current research primarily concerns the buckling performance of pressurized pipelines subjected to a bending load or axial compression force, with some also looking at the failure pressure of corroded pipelines. However, there is currently a lack of limit state models for pressurized pipelines with bending moments and axial forces. In this study, based on the unified yield criterion, we propose a limit state equation for steel pipes under various loads. The most common operating loads on buried pipelines are bending moment, internal pressure, and axial force. The proposed limit state equation for intact pipelines is based on a three-dimensional pipeline stress model with complex load coupling. Using failure data, we investigate the applicability of various yield criteria in assessing the failure pressure of pipelines with complex loads. We show that the evaluation model can be effectively used as a theoretical solution for assessing the failure pressure in such circumstances and for selecting appropriate yield criteria based on load condition differences.
Inhomogeneous high temperature melting and decoupling of charge density waves in spin-triplet superconductor UTe2
Authors: LaFleur Alexander , Li Hong , Frank Corey E. , Xu Muxian , Cheng Siyu , Wang Ziqiang , Butch Nicholas P. , Zeljkovic Ilija 
Published: May 2024

AbstractCharge, spin and Cooper-pair density waves have now been widely detected in exotic superconductors. Understanding how these density waves emerge — and become suppressed by external parameters — is a key research direction in condensed matter physics. Here we study the temperature and magnetic-field evolution of charge density waves in the rare spin-triplet superconductor candidate UTe2 using scanning tunneling microscopy/spectroscopy. We reveal that charge modulations composed of three different wave vectors gradually weaken in a spatially inhomogeneous manner, while persisting to surprisingly high temperatures of 10–12 K. We also reveal an unexpected decoupling of the three-component charge density wave state. Our observations match closely to the temperature scale potentially related to short-range magnetic correlations, providing a possible connection between density waves observed by surface probes and intrinsic bulk features. Importantly, charge density wave modulations become suppressed with magnetic field both below and above superconducting Tc in a comparable manner. Our work points towards an intimate connection between hidden magnetic correlations and the origin of the unusual charge density waves in UTe2.