bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural Frequency Perturbations Using a Scalar Expression with Reference Plots to Predict Associated Errors
Authors: Kaminski Allison , McDaniel J. Gregory 
Published: February 2023

Abstract
Purpose
Eigenvalues are the natural frequencies of system squared. When designing a system it is important to know the natural frequencies, because if the system is forced near one of these natural frequencies the magnitude of vibration becomes very large. The eigenvalues are typically determined by solving an eigenvalue problem, which is an iterative produce that is expensive for larger systems. If multiple perturbations to the system are made or tested re-solving an eigenvalue problem every time becomes prohibitive. Perturbation methods exist to predict perturbed eigenvalues more quickly. However, these methods typically require matrix–vector products and do not quantify what is considered a small enough perturbation to use these methods.

Methods
This paper looks to address these issues using a scalar perturbed eigenvalue expression that avoids calculating matrix–vector products for every perturbation and developing reference plots that can be used to predict the associated error. The reference plots may be used to predict errors in the approximated natural frequencies from nominal modal parameters. The scalar perturbed eigenvalue expression and reference plots for errors were tested using numerical examples.

Results
In every case tested the plots were able to accurately predict the expected errors, to be within a predicted range.

Conclusion
The proposed method allows one to use the developed scalar expression to predict perturbed eigenvalues, and the developed reference plots may be used to predict the errors associated with using the proposed expression.
Evolution of δ phase precipitates in Inconel 625 superalloy additively manufactured by laser powder bed fusion and its modeling with fuzzy logic
Authors: Staroń Sylwia , Macioł Piotr , Dubiel Beata , Gola Kewin , Falkus Jan 
Published: February 2023

Abstract
Experimental and modeling studies of the evolution of plate-like δ phase precipitates in Inconel 625 superalloy additively manufactured by the laser powder bed fusion process are performed. The maximum Feret diameter and the number of particles per unit area are used as parameters describing the size and distribution of the δ phase precipitates. On the basis of microstructural analysis and quantitative image analysis, the effect of time and temperature on the development of δ phase precipitates is determined. The distinct differences in the intensity of precipitation, growth, and coarsening of the δ phase precipitates during annealing at temperatures of 700 and 800 °C up to 2000 h are shown. The experimental results are compared with computational data obtained by thermodynamic modeling. Using the experimentally determined parameters of the δ phase precipitates in different variants of annealing, a fuzzy logic-based phase distribution model is designed. Since the quantity of available data was too small to train a model with the machine learning approach, expert knowledge is used to design the rules, while numerical data are used for its validation. Designed rules, as well as reasoning methodology are described. The proposed model is validated by comparing it with the experimental results. It can be used to predict the size and number density of the δ phase precipitates in the additively manufactured Inconel 625, subjected to long-term annealing at temperatures of 700–800 °C. Due to limited experimental data, the quality of assurance is not perfect, but warrants preliminary research.

Graphical abstract
Output-based adaptive distributed observer for general linear leader systems over periodic switching digraphs
Authors: He Changran , Huang Jie 
Published: February 2023

AbstractIn this paper, we present a sufficient condition for the exponential stability of a class of linear switched systems. As an application of this stability result, we establish an output-based adaptive distributed observer for a general linear leader system over a periodic jointly connected switching communication network, which extends the applicability of the output-based adaptive distributed observer from a marginally stable linear leader system to any linear leader system and from an undirected switching graph to a directed switching graph. This output-based adaptive distributed observer will be applied to solve the leader-following consensus problem for multiple double-integrator systems.
The Maximal Product in Cubic Fuzzy Graph Structures with an Application
Authors: Rao Yongsheng , Akhoundi Maryam , Talebi Ali Asghar , Sadati Seyed Hossein 
Published: February 2023

AbstractThe cubic fuzzy graph structure, as a combination of cubic fuzzy graphs and fuzzy graph structures, shows better capabilities in solving complex problems, especially in cases where there are multiple relationships. The quality and method of determining the degree of vertices in this type of fuzzy graphs simultaneously supports fuzzy membership and interval-valued fuzzy membership, in addition to the multiplicity of relations, motivated us to conduct a study on the maximal product of cubic fuzzy graph structures. In this research, upon introducing the cubic fuzzy graph structure, some properties of the maximal product and its characteristics have been investigated. By introducing the degree and the total degree of a vertex in the product of at most two cubic fuzzy graph structures, its calculation methods are categorized based on different conditions among the membership functions of vertices and edges. The results show that all features of two cubic fuzzy graph structures do not appear in their maximal product and vice versa. Finally, an application of cubic fuzzy graph structure in project management is presented.
Study of the Variables of Local Healthcare Personnel Linked to Becoming a Formal Public CPR Instructor in Baoan, Shenzhen, China
Authors: Lin Jinle , wang Conghua , Luo Yi , Zhang Wenwu , Dou Qingli , Wei Jian , Fu Xuan , Tao Wuyuan 
Published: February 2023

Abstract
Background
Public Cardiopulmonary resuscitation (CPR) education is important to increase the survival rate of out-of-hospital cardiac arrest (OHCA). In this study, we survey local healthcare personnel in China who met the requirements of becoming public CPR instructors to assess their level of knowledge and attitudes toward teaching CPR.

Materials and Methods
To find qualified public CPR instructors among the local healthcare personnel, we ran three training sessions between March 2018 and December 2018. We held three courses on selecting public CPR instructors from the local healthcare personnel (n = 496). We also surveyed candidates for public CPR instructors before making our final choice. The selected instructors were retrained for a single day in December 2021. The necessary information was exchanged with the members of the passing group, and the maintained valuables were investigated.

Results
Public CPR instructors certified 428 cases (86.49%) after the final exam. The results showed that the emergency group had a higher success rate than the non-emergency group (control group) (175, 90.7% vs. 253, 83.8%; P = 0.042). Here, we conducted a binary logistic regression analysis to determine the relationship between 15 survey variables and the passing rate. The variables, such as financial incentives, prior automatic external defibrillator (AED) training, and younger age were independently affected by being public CPR instructors. Despite this, 246 instructors (57.9%) still attended the retraining courses in 2021, with significantly more instructors in the emergency group than those in the non-emergency group (111, 64.5% vs. 135, 53.4%; P = 0.022). Furthermore, the instructors who were not incentivized financially were less likely to switch between the emergency and non-emergency groups (96, 79.33% vs. 116, 86.56%; P = 0.990).

Conclusion
The Chinese emergency team can serve as a model for the local healthcare personnel by training and leading a group of volunteer CPR instructors. Our research has practical implications for China's national CPR education policy by informing the scheduling of regional public CPR education programs.
How to Deal With the Risk of Evacuation of Psychiatric Hospital in Nuclear Disaster: A Case Study
Authors: Hori Arinobu , Sawano Toyoaki , Nonaka Saori , Tsubokura Masaharu 
Published: February 2023

Abstract

Objective:
People with psychiatric disorders are one of the most vulnerable populations in disasters, and the 2011 Great East Japan Earthquake reported higher post-evacuation mortality rates among psychiatric inpatients. A psychiatric hospital evacuated after the nuclear accident was surveyed to gain valuable insights for future disaster preparedness.

Methods:
The authors interviewed two Odaka Akasaka Hospital (a private psychiatric hospital) staff responsible for evacuation due to the nuclear accident.

Results:
At the time of the earthquake, 104 patients had been admitted to the hospital. They were instructed to evacuate on the grounds that they existed within a 20 km radius of Fukushima Daiichi Nuclear Power Station. Although the evacuation process was extraordinarily demanding, the staff acted professionally, and no patient experienced a significant deterioration in health during the evacuation.

Conclusion:
It was reasonable to follow the evacuation order because of the difficulty of obtaining accurate information about radiation exposure and staff availability in high-risk situations. The staff’s knowledgeable and attentive care of the patients was one of the factors that enabled them to successfully carry out this severe evacuation. However, this may be related to the high mortality rate after the evacuation of patients who were separated from such caregivers.
Is adolescent internet use a risk factor for the development of depression symptoms or vice-versa?
Authors: Fitzpatrick Caroline , Lemieux Annie , Smith Jonathan , West Greg L. , Bohbot Véronique , Asbridge Mark 
Published: February 2023

AbstractBackgroundThe extent to which digital media use by adolescents contributes to poor mental health, or vice-versa, remains unclear. The purpose of the present study is to clarify the strength and direction of associations between adolescent internet use and the development of depression symptoms using a longitudinal modeling approach. We also examine whether associations differ for boys and girls.MethodsData are drawn from (N = 1547) participants followed for the Quebec longitudinal Study of Child Development (QLSCD 1998–2020). Youth self-reported internet use in terms of the average hours of use per week at the ages of 13, 15, and 17. Youth also self-reported depression symptoms at the same ages.ResultsAfter testing sex-invariance, random intercepts cross-lagged panel models stratified by sex, revealed that internet use by girls was associated with significant within-person (time-varying) change in depression symptoms. Girl's internet use at age 13 was associated with increased depression symptoms at age 15 (ß = 0.12) and internet use at age 15 increased depression at age 17 (ß = 0.10). For boys, internet use was not associated with significant time varying change in depression symptoms.ConclusionsThe present findings support the hypothesis that internet use by adolescents can represent a significant risk factor for the development of depressive symptoms, particularly in girls.
Effectiveness of a cognitive–behavioral group therapy for complicated grief in relatives of patients with cancer: A randomized clinical trial
Authors: Lacasta María Antonia , Cruzado Juan Antonio 
Published: February 2023

AbstractIntroductionComplicated grief can affect a large number of individuals who have lost a relative due to cancer.ObjectivesTo assess the efficacy of a cognitive–behavioral grief therapy (CBGT) group for complicated grief (CG) in those who have lost a relative due to cancer in comparison with a psychoeducational and emotional expression intervention group (PSDEEI).MethodsA randomized clinical trial was used, in which 249 relatives of deceased cancer patients with CG were randomly assigned to CBGT or PSDEEI. Complicated grief (Inventory of Complicated Grief [ICG]), depression (Beck Depression Inventory [BDI-II]), hopelessness (Beck Hopelessness Scale [BHS]), anxiety (Beck Anxiety Inventory [BAI]) symptoms, and general health (Goldberg’s General Health Questionnaire [GHQ28]) were assessed at pretreatment, posttreatment, and follow-up at 6 and 12 months.ResultsThe CBGT group improved significantly (p < 0.001), with the scores in ICG, BDI-II, BAI, BHS, and GHQ28 (p < 0.001) being higher than those for the PSDEEI group in each of the assessed moments, with high effect sizes: ICG (η2 = 0.16), BDI (η2 = 0.10), BAI (η2 = 0.06), BHS (η2 = 0.21), and GHQ28 (η2 = 0.21). At the 12-month follow-up, the number of cases of CG decreased by 81.1% for the CBGT group vs. 31.7% in the PSDEEI group.Significance of resultsThe CBGT treatment was effective for CG, depression, anxiety, and hopelessness symptoms and for mental health and was superior to the PSDEEI treatment.
Microstrip antennas on 3D-printed magneto-dielectric substrates: fabrication and efficiency study
Authors: Kakoyiannis Constantine , Sorocki Jakub , Piekarz Ilona , Geissler Matthias 
Published: February 2023

AbstractMagneto-dielectric antennas (MDAs) provide small sizes, enhanced bandwidths, and frequency/polarization agility. We describe the fabrication and efficiency characterization at 0.4–0.8 GHz of five microstrip MDAs, whose gradually thicker substrates were 3D-printed using an off-the-shelf polylactic acid (PLA) filament doped with ferromagnetic particles. It was experimentally discovered that efficiency increases monotonically from 12% (−9.2 dB) to 37% (−4.3 dB) as substrate thickness goes from 1.6 to 4.3 mm; the rate is faster than expected for microstrip antennas. Numerical analysis indicated that the apparent magnetic loss tangent of the MD substrate experiences a threefold decrease as the 3D printer deposits more layers of iron-doped PLA. The MDAs exhibit radiation quality factors that are 3.7–7.2 times better than the dielectric counterparts. Moreover, a simple optimization of ground plane size could increase efficiency to 55% (−2.6 dB). The reduction in magnetic loss is attributed to a reduction in eddy current loss due to the separation of agglomerate iron particles. Therefore, despite the inherently lossy material used, the potential of 3D-printed MD substrates in providing acceptable antenna efficiencies is demonstrated together with unprecedented design freedom and fabrication flexibility.
The Agulhas Current Transports Signals of Local and Remote Indian Ocean Nitrogen Cycling
Authors: Marshall Tanya A. , Sigman Daniel M. , Beal Lisa M. , Foreman Alan , Martínez‐García Alfredo , Blain Stéphane , Campbell Ethan , Fripiat François , Granger Robyn , Harris Eesaa , Haug Gerald H. , Marconi Dario , Oleynik Sergey , Rafter Patrick A. , Roman Raymond , Sinyanya Kolisa , Smart Sandi M. , Fawcett Sarah E. 
Published: February 2023

AbstractThe greater Agulhas Current region is an important component of the climate system, yet its influence on carbon and nutrient cycling is poorly understood. Here, we use nitrate isotopes (δ15N, δ18O, Δ(15–18) = δ15N–δ18O) to trace regional water mass circulation and investigate nitrogen cycling in the Agulhas Current and adjacent recirculating waters. The deep and intermediate waters record processes occurring remotely, including partial nitrate assimilation in the Southern Ocean and denitrification in the Arabian Sea. In the thermocline and surface, tropically sourced waters are biogeochemically distinct from adjacent subtropically sourced waters, confirming inhibited lateral mixing across the current core. (Sub)tropical thermocline nitrate δ15N is lower (4.9–5.8‰) than the sub‐thermocline source, Subantarctic Mode Water (6.9‰); we attribute this difference to local N2 fixation. Using a one‐box model to simulate the newly fixed nitrate flux, we estimate a local N2 fixation rate of 7–25 Tg N.a−1, with the upper limit likely biased high. In the mixed layer, nitrate δ15N and δ18O rise in unison, indicating that phytoplankton nitrate assimilation dominates in surface waters, with nitrification restricted to deeper waters. Because nitrate assimilation and nitrification are vertically decoupled, the rate of nitrate assimilation plus N2 fixation can be used to approximate carbon export. Thermocline and mixed‐layer nitrate Δ(15–18) is low, due to both N2 fixation and coupled partial nitrate assimilation and nitrification. Similarly low‐Δ(15–18) nitrate in Agulhas rings indicates leakage of low‐δ15N nitrogen into the South Atlantic, which should be recorded in the organic matter sinking to the seafloor, providing a potential tracer of past Agulhas leakage.
Modeling Seasonal Effects of River Flow on Water Temperatures in an Agriculturally Dominated California River
Authors: Asarian J. Eli , Robinson Crystal , Genzoli Laurel 
Published: February 2023

AbstractLow streamflows can increase vulnerability to warming, impacting coldwater fish. Water managers need tools to quantify these impacts and predict future water temperatures. Contrary to most statistical models' assumptions, many seasonally changing factors (e.g., water sources and solar radiation) cause relationships between flow and water temperature to vary throughout the year. Using 21 yr of air temperature and flow data, we modeled daily water temperatures in California's snowmelt‐driven Scott River where agricultural diversions consume most summer surface flows. We used generalized additive models to test time‐varying and nonlinear effects of flow on water temperatures. Models that represented seasonally varying flow effects with intermediate complexity outperformed simpler models assuming constant relationships between water temperature and flow. Cross‐validation error of the selected model was ≤1.2°C. Flow variation had stronger effects on water temperatures in April–July than in other months. We applied the model to predict effects of instream flow scenarios proposed by regulatory agencies. Relative to historic conditions, the higher instream flow scenario would reduce annual maximum temperature from 25.2° to 24.1°C, reduce annual exceedances of 22°C (a cumulative thermal stress metric) from 106 to 51 degree‐days, and delay onset of water temperatures >22°C during some drought years. Testing the same modeling approach at nine additional sites showed similar accuracy and flow effects. These methods can be applied to streams with long‐term flow and water temperature records to fill data gaps, identify periods of flow influence, and predict temperatures under flow management scenarios.
An agonistic anti-Tie2 antibody suppresses the normal-to-tumor vascular transition in the glioblastoma invasion zone
Authors: Lee Eunhyeong , Lee Eun-Ah , Kong Eunji , Chon Haemin , Llaiqui-Condori Melissa , Park Cheon Ho , Park Beom Yong , Kang Nu Ri , Yoo Jin-San , Lee Hyun-Soo , Kim Hyung-Seok , Park Sung-Hong , Choi Seung-Won , Vestweber Dietmar , Lee Jeong Ho , Kim Pilhan , Lee Weon Sup , Kim Injune 
Published: February 2023

AbstractTumor progression is intimately associated with the vasculature, as tumor proliferation induces angiogenesis and tumor cells metastasize to distant organs via blood vessels. However, whether tumor invasion is associated with blood vessels remains unknown. As glioblastoma (GBM) is featured by aggressive invasion and vascular abnormalities, we characterized the onset of vascular remodeling in the diffuse tumor infiltrating zone by establishing new spontaneous GBM models with robust invasion capacity. Normal brain vessels underwent a gradual transition to severely impaired tumor vessels at the GBM periphery over several days. Increasing vasodilation from the tumor periphery to the tumor core was also found in human GBM. The levels of vascular endothelial growth factor (VEGF) and VEGF receptor 2 (VEGFR2) showed a spatial correlation with the extent of vascular abnormalities spanning the tumor-invading zone. Blockade of VEGFR2 suppressed vascular remodeling at the tumor periphery, confirming the role of VEGF-VEGFR2 signaling in the invasion-associated vascular transition. As angiopoietin-2 (ANGPT2) was expressed in only a portion of the central tumor vessels, we developed a ligand-independent tunica interna endothelial cell kinase 2 (Tie2)-activating antibody that can result in Tie2 phosphorylation in vivo. This agonistic anti-Tie2 antibody effectively normalized the vasculature in both the tumor periphery and tumor center, similar to the effects of VEGFR2 blockade. Mechanistically, this antibody-based Tie2 activation induced VE-PTP-mediated VEGFR2 dephosphorylation in vivo. Thus, our study reveals that the normal-to-tumor vascular transition is spatiotemporally associated with GBM invasion and may be controlled by Tie2 activation via a novel mechanism of action.
TRAF3 activates STING-mediated suppression of EV-A71 and target of viral evasion
Authors: Zheng Wenwen , Zhou Zhenbang , Rui Yajuan , Ye Runxin , Xia Fengyan , Guo Fei , Liu Xiaoman , Su Jiaming , Lou Meng , Yu Xiao-Fang 
Published: February 2023

AbstractInnate immunity represents one of the main host responses to viral infection.1–3 STING (Stimulator of interferon genes), a crucial immune adapter functioning in host cells, mediates cGAS (Cyclic GMP-AMP Synthase) sensing of exogenous and endogenous DNA fragments and generates innate immune responses.4 Whether STING activation was involved in infection and replication of enterovirus remains largely unknown. In the present study, we discovered that human enterovirus A71 (EV-A71) infection triggered STING activation in a cGAS dependent manner. EV-A71 infection caused mitochondrial damage and the discharge of mitochondrial DNA into the cytosol of infected cells. However, during EV-A71 infection, cGAS-STING activation was attenuated. EV-A71 proteins were screened and the viral protease 2Apro had the greatest capacity to inhibit cGAS-STING activation. We identified TRAF3 as an important factor during STING activation and as a target of 2Apro. Supplement of TRAF3 rescued cGAS-STING activation suppression by 2Apro. TRAF3 supported STING activation mediated TBK1 phosphorylation. Moreover, we found that 2Apro protease activity was essential for inhibiting STING activation. Furthermore, EV-D68 and CV-A16 infection also triggered STING activation. The viral protease 2Apro from EV-D68 and CV-A16 also had the ability to inhibit STING activation. As STING activation prior to EV-A71 infection generated cellular resistance to EV-A71 replication, blocking EV-A71-mediated STING suppression represents a new anti-viral target.
RETRACTED ARTICLE: Ibrutinib facilitates the sensitivity of colorectal cancer cells to ferroptosis through BTK/NRF2 pathway
Authors: Zhu Jin-Feng , Liu Yi , Li Wen-Ting , Li Ming-Hui , Zhen Chao-Hui , Sun Pei-Wei , Chen Ji-Xin , Wu Wen-Hao , Zeng Wei 
Published: February 2023

AbstractIbrutinib is a drug that inhibits the protein Burton’s tyrosine kinase and thereby the nuclear translocation of Nrf2, which played a key role in mediating the activation of antioxidants during stress conditions and ferroptosis resistance. This study aimed to identify the effect of Ibrutinib and ferroptosis inducer on colorectal cancer (CRC) treatment and its underlying mechanism. In our study, we found the upregulation of Nrf2 was correlated with CRC progression and antioxidant proteins. Ibrutinib sensitized CRC to ferroptosis inducers, suggested by further reduced CRC cell viability, proliferation and decreased antioxidant protein levels in CRC cells after combination treatment of Ibrutinib and RSL3 or Ibrutinib and Erastin both in vivo and in vitro. Knockout of Nrf2 diminished the regulatory effect of Ibrutinib on CRC sensitivity to ferroptosis inducers. Altogether, this study demonstrated that Ibrutinib increases the sensitivity of CRC cell to ferroptosis inducers by inhibiting Nrf2.