bluuebunny/crossref_metadata_2025_split huggingface dataset:
Duration and damping for ground motion characterization in frequency‐domain damage estimation of SDOF structures
Authors: Naqvi Arshil A. , Gupta Vinay K. 
Published: September 2023

AbstractIn estimating the damage to a single‐degree‐of‐freedom (SDOF) structure due to multiple earthquake events, it may be convenient to use a frequency‐based approach, in which the anticipated ground motions are characterized through power spectral density functions (PSDFs) compatible with the specified design spectra for those motions. Since a spectrum‐compatible PSDF corresponds to a fictitious stationary ground motion process of a specified duration, the duration of this process should preferably be same as the length of the stationary segment in the actual ground acceleration process for a meaningful computation of the stochastic response. On assuming the strong‐motion segment of a given ground motion to represent its stationary segment, the nonstationarity of the strong‐motion segment is evaluated for the existing strong‐motion duration definitions. It is found that the Trifunac‐Brady definition is the most reasonable strong‐motion duration definition in respect of consistently giving the longest strong‐motion segment with least nonstationarity. Further, a spectrum‐compatible PSDF can be used for estimating the stochastic response of a linear system, provided the system has the same damping ratio as that of the design spectrum from which the PSDF has been computed. This causes errors in estimating the peak response of an equivalent linear system due to its damping ratio being higher than the initial damping ratio of the nonlinear system. To address this, an empirical expression is developed for the modified damping ratio of a linear system, which would lead to the correct peak response of the system on using the PSDF obtained from the 5%‐damping design spectrum.
Experimental study on characteristics of liquid dynamics in a cylindrical water tank under harmonic excitation
Authors: Zhao Mi , Jia Shaocong , Qu Yang , Du Xiuli , Wang Piguang 
Published: September 2023

AbstractAs the offshore engineering industry continued to develop, issues such as damage to storage structures due to liquid shaking became increasingly prevalent. This paper explored the dynamic response of liquid within a rigid cylindrical water tank subjected to harmonic excitation through vibration table tests, analyses, and numerical simulations. Using the Laplace equation and the Bessel function of the first kind, the analytical formula of liquid dynamic response was derived. A numerical model was established by ANSYS software to verify the accuracy of the analytical solution. At the same time, the response characteristics of hydrodynamic pressure and liquid level wave height were studied by vibration table tests. In this experiment, a rigid cylindrical water tank with varying depths of liquid was subjected to harmonic excitations utilizing a vibration table. In most cases, the experimental results agreed well with the analytical formula. However, under conditions of relatively severe liquid sloshing, there was a discrepancy in peak values between the experiment and the analytical formula. The experimental data indicated that both the hydrodynamic pressure and liquid level wave height increase with an increase in harmonic excitation frequency and amplitude.
Seismic isolated bridge performance evaluation and design proposal using artificial neural network
Authors: Montes Katrina , Dang Ji 
Published: September 2023

AbstractSeismic isolators such as rubber bearings and other dampers are critical components of seismic design. The hysteresis behavior of such bearings is complicated, and engineers are using a bilinear model or equivalent linearization method in design practice. The response evaluation and initial design parameter assumptions are highly dependent on engineers' expertise and need repeated analysis. Therefore, this study proposed a machine learning‐based approach to conduct bridge seismic isolation performance evaluation and design parameters proposal without repeating the nonlinear simulations. The training data were generated by conducting a nonlinear time history analysis of the bridge structure model with input design earthquakes. Four trained three‐layer neural network models could perform bridge seismic response evaluation, predict the structure's seismic response, and suggest design proposal using some input parameters.
A coordinative scaled model design method with attached plates for underwater shaking table tests
Authors: Wei Xin , Shi Yundong , Chang Wenhao , Chen Yuyi , Zheng Qingtao , Li Cheng , Hu Ximei , Hou Bingchao , Li Wei 
Published: September 2023

AbstractStructures located in the water environment undergo additional hydrodynamic forces induced by fluid–structure interaction under earthquakes, which could increase the dynamic responses and affect the seismic performance of underwater structures. Underwater shaking table tests are generally used to verify the seismic performance of structures by using scaled models. Unlike the traditional shaking table without water, it is difficult to design the scaled model as the traditional similitude law requires the designer to change the mass density of water, which is impossible in reality. As a result, the mass density similitude ratio of water mismatches with that of the specimen, which leads to an inconsistent scale of the hydrodynamic forces and the inertia forces of the specimens. A new scaled model design method based on the coordinative similitude law is proposed. This increases the hydrodynamic forces of the model using attached plates to ensure the consistency of the similitude ratio of hydrodynamic forces and inertia forces. A series of numerical simulations are conducted in ADINA (finite element software) to validate the proposed coordinative scaled model design method with attached plates by comparing with the conventional scaled model (CSM) designed based on the artificial mass modeling method and the prototype under unidirectional and bidirectional earthquakes coupled with hydrodynamic forces. The results show that the maximum relative error of dynamic responses could reach 82.80% between the CSM and the prototype; while it is 25% between the coordinative scaled model with attached plates and the prototype. The coordinative scaled model with attached plates can reproduce the responses of the prototype with high accuracy, and thus it is recommended to be used in the underwater shaking table tests.
SHIP1 and its role for innate immune regulation—Novel targets for immunotherapy
Authors: Yeoh Wen Jie , Krebs Philippe 
Published: September 2023

AbstractPhosphoinositide‐3‐kinase/AKT (PI3K/AKT) signaling plays key roles in the regulation of cellular activity in both health and disease. In immune cells, this PI3K/AKT pathway is critically regulated by the phosphoinositide phosphatase SHIP1, which has been reported to modulate the function of most immune subsets. In this review, we summarize our current knowledge of SHIP1 with a focus on innate immune cells, where we reflect on the most pertinent aspects described in the current literature. We also present several small‐molecule agonists and antagonists of SHIP1 developed over the last two decades, which have led to improved outcomes in several preclinical models of disease. We outline these promising findings and put them in relation to human diseases with unmet medical needs, where we discuss the most attractive targets for immune therapies based on SHIP1 modulation.
Change by (almost) all means: The role of conspiracy mentality in predicting support for social change among the political left and right
Authors: Winter Kevin , Pummerer Lotte , Sassenberg Kai 
Published: September 2023

AbstractRight‐wing movements across the globe call for system‐changing actions. This development contradicts the typically assumed resistance to change among the political right. Many of these movements use conspiracist rhetoric and, thus, we reasoned that conspiracy mentality might be associated with the striving for system change—especially on the political right. In four cross‐sectional studies in Germany (one nationally quota‐balanced, one preregistered; total N = 1539) we found that high conspiracy mentality was related to support for social change among the right and to support for reactionary social change among the left. Support for change among those high in conspiracy mentality was diminished when elected representatives (vs the population) were thought to drive social change. These results suggest that both right wingers and left wingers high in conspiracy mentality support change in ways that are seemingly incompatible with their political orientation.
A novel damage evaluation method for exposed column bases (ECBs) affecting the seismic properties of low‐rise steel moment‐resisting frames (MRF)
Authors: Shen Shao‐Dong , Kurata Masahiro 
Published: September 2023

AbstractExposed column base (ECB) connections are widely used in low‐ and mid‐rise steel moment‐resisting frames (MRFs). In this study, we investigated the impact of ECB damage on the overall seismic properties of low‐rise MRFs. A novel method was proposed to evaluate the post‐earthquake conditions of steel frame structures based on the coupling coefficient (CC). Using only the strain gauge data of the columns in the bottom storey, a method using a modified CC was adopted to classify the degree of damage by estimating the residual capacity of the MRF and predicting the future seismic response under specific intensity levels of hypothetical earthquakes, considering both the structural and non‐structural components. The limit values of CC were obtained by solving the deduced equations. Finite element analyses were conducted to validate the proposed method. The method was applied for calculating the test data of a four‐storey MRF tested at the E‐Defense shaking table facility. Four loading cases comprising six groups of monitored data in the X‐ and Y‐directions were used in this study. A comprehensive and systematic evaluation result was eventually obtained, and the accuracy of the method was validated.
Fractionation, identification of chemical constituents, and biological properties of cashew (Anacardium occidentale L.) leaf extracts
Authors: Pham Dinh‐Chuong , Truong Dieu‐Hien , Tran Quang Huy , Ho Quang Tien , Nguyen Thieu Anh Duy , Nguyen Thi Ngoc Huyen , Nguyen Thanh Vinh , Nguyen Thi Thao Vy , Cao Tan Sang , Barrow Colin J. , Nguyen Hoang Chinh 
Published: September 2023

AbstractThe current study aimed to identify the chemical constituents and bioactivities of the crude ethanolic extract (CEE) and its fractions (ethyl acetate (EAF), hexane (HEF), and aqueous (AEF)) from leaves of cashew (Anacardium occidentale L.) grown in Vietnam. A total of 31 compounds which belong to alkanes, hydrocarbons, iodine, terpenoids, phenolics, and flavonoids were determined by a gas chromatography–mass spectrometry (GC–MS) analysis, with bis(2‐ethylhexyl) phthalate being the most prevailing compound. The highest total phenolic and flavonoid contents were obtained in the EAF, followed by HEF, CEE, and AQF. All samples showed promising in vitro antibacterial activity, enzyme inhibition, and anticancer activity. Among the samples tested, the EAF exhibited the highest enzyme inhibition activity against α‐amylase and α‐glucosidase (IC50 values of 51.24 μg/mL and 99.29 μg/mL, respectively), cytotoxicity activity against HeLa cells (IC50 value of 79.49 μg/mL), and antibacterial activity against Bacillus subtilis and Escherichia coli with MIC values of 5 mg/mL and 2.5 mg/mL, respectively. These findings suggest that the leaves of A. occidentale cultivated in Vietnam are a promising source of bioactive components and that EAF is a promising bioactive material warranting further pharmaceutical investigation.
A systematic scoping review of peer support interventions in integrated primary youth mental health care
Authors: Murphy Rachel , Huggard Leigh , Fitzgerald Amanda , Hennessy Eilis , Booth Ailbhe 
Published: September 2023

AbstractPeer support, defined as the social and emotional support offered and received by individuals with a shared experience of mental health difficulties, is gaining popularity in youth mental health settings. This systematic scoping review aimed to collate and synthesise the evidence on key aspects of peer support interventions within integrated youth services and educational settings. Specifically, it synthesised evidence on the (1) assessed mental health outcomes in peer support interventions, (2) key characteristics and associated roles of peer support workers (PSWs) and (3) barriers and facilitators to implementation. A search of peer reviewed articles from January 2005 to June 2022 across five electronic databases (PsychINFO, Pubmed, Scopus, ERIC and CINAHL) was conducted. A total of 15 studies retrieved in the search met the inclusion criteria and were included in the review. This review supports previous research indicating that peer support has potential for improving recovery related outcomes. While a variety of interventions and PSW roles were reported, studies could be strengthened by providing more in‐depth information on intervention content. Examples of barriers to implementation included staff concerns around confidentiality of peer support relationships as well as PSWs' confidence in their roles. Facilitators included positive support from staff members and role clarity.
Confronting misconceptions of public housing communities: A qualitative report of community‐informed narratives by community members and partners
Authors: Walsh Colleen S. , Leslie Carine E. , Ross Katherine M. , Santana Arlenis , Radabaugh Skylar , Edmonds Torey , Sullivan Terri N. 
Published: September 2023

AbstractObjectives were (a) to understand a community‐informed narrative, as told by community members (CMs) and community partners (CPs), about the strengths, experiences, and perspectives of public housing communities; and (b) to analyze similarities and differences between CMs' and CPs' experiences and perspectives. Qualitative interviews were conducted with 22 CMs of public housing (ages 26–58, 100% female caregivers, 96% Black, 4% multiethnic) and 43 CPs (ages 28–78, 67.4% female, 81.4% Black and African American). Four themes were derived from the CM and CP interviews: (1) counters to public narratives, (2) disinvestment begets disinvestment, (3) community conditions should be better, and (4) community cohesion and connection. Findings from this study present community‐centered narratives and experiences that were counter to stereotyped public narratives and could influence public perceptions and behavior to inform policy changes related to improving living conditions and supporting CMs in public and low‐income housing communities.
Greenhouse gas emissions from soils in corn‐based cropping systems
Authors: Kazula Maciej J. , Lauer Joseph G. 
Published: September 2023

AbstractCrop rotation is a management practice with high greenhouse gas (GHG) mitigating potential that is often neglected due to economic influences. Three long‐term rotation studies in Wisconsin were selected to assess the potential opportunities for mitigating GHG emissions by comparing the temporal and spatial variability of N2O, CO2, and CH4 emissions in continuous corn (CC) (Zea mays L.), corn–soybean (CS) [Glycine max (L.) Merr.], and corn–soybean–wheat (CSW) (Triticum aestivum L.) using a static chamber method. GHG emissions were influenced by weather conditions and following nitrogen (N) application during a 3‐year measurement period. In high N input environments at Arlington and Lancaster, N2O emissions in CC were 5.80 and 4.40 kg N ha–1, respectively, which was much higher than the emissions in CS and CSW rotations that ranged from 1.52 to 3.33 kg N ha–1. In the low N input environment at Marshfield, N2O emissions were not statistically different among CC, CS, and CSW rotations (1.20–1.66 kg N ha–1). Yield‐scaled N2O emissions were not different among crop rotations. When pooled over locations, CO2 emissions were highest in CC (4.16 Mg C ha−1) and were similar in CS and CSW (3.71 and 3.50 Mg C ha–1, respectively). Soils either emitted or absorbed small and inconsistent amounts of CH4. These results provide important insights as to how weather conditions and differences among management practices affect GHG emissions and show that application of either 2‐year CS or 3‐year CSW rotation can be equally effective in reducing N2O emissions compared to CC, especially with high N applications.
A nomogram prognostic model for diffuse large B‐cell lymphoma based on SUVmax and GNRI in elderly patients
Authors: Li Maoqin , Lu Haihao , Fan Jiaoyang , Dai Min , Su Chang 
Published: September 2023

AbstractTo establish a nomogram for elderly patients with diffuse large B‐cell lymphoma (DLBCL) based on nutritional and imaging features. The data of 221 elderly pretreatment DLBCL patients were retrospectively analyzed. All cases were randomly separated into the training group and validation group. A nomogram was built based on the results of multivariate analysis. A nomogram was established based on maximum standardized uptake value (SUVmax), geriatric nutritional risk index (GNRI), and lactate dehydrogenase. The concordance index (C‐index) of the nomogram was 0.772 for the training group and 0.729 for the validation group, and similar results were found in the area under the curve (AUC). The calibration curve showed favorable consistency between prediction and real survival. The decision curve analysis (DCA) also showed that the nomogram had favorable clinical effectiveness. The new risk‐stratification model divided patients into three groups with obvious survival. The C‐index and AUCs for the new model were greater than those of IPI and NCCN‐IPI. The DCA curve suggested that the new model had better clinical effectiveness than the IPI and NCCN‐IPI. The nomogram prognostic model based on SUVmax and GNRI performed superior to NCCN‐IPI and equal to IPI for risk stratification of elderly DLBCL patients.
Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
Authors: Bayani Diana Beatriz , Lin Yihao Clement , Ooi Melissa G. , Tso Allison Ching Yee , Wee Hwee Lin 
Published: September 2023

AbstractMultiple myeloma, a hematological malignancy, imposes a significant financial burden on healthcare systems. Health technology assessments (HTA) and economic evaluations play vital roles in reimbursement decisions and cost containment. This study aimed to explore healthcare utilization patterns and costs among myeloma patients in Singapore through a retrospective analysis of 605 patients treated at two cancer centers. Data encompassing demographics, treatment utilization, and billing were extracted from electronic records, and a cost analysis was performed from the perspective of the Singapore healthcare system. The results revealed common usage of immunomodulatory agents (52%) and proteasome inhibitors (37%), with bortezomib being the most frequently used targeted treatment. Treatment costs increased with disease progression, displaying variations depending on the therapeutic agent used. Notably, hospitalization costs due to adverse events were substantial, with pneumonia as the leading cause. This study highlights the high cost of myeloma therapy in Singapore, posing a financial burden for households. Findings may inform economic evaluations, evidence generation, reimbursement, and subsidy decisions. Leveraging real‐world data from electronic records provides valuable insights into local healthcare utilization patterns. Future studies may explore integrating billing databases with clinical repositories for a more comprehensive analysis, and consider limitations such as incomplete clinical information and potential selection bias.
To be precise (imprecise) in utilitarian (hedonic) contexts: Examining the influence of numerical precision on consumer reactions to artificial intelligence‐based recommendations
Authors: Zhu Hong , Zhu Zimeng , Ou Yilin , Yin Ya 
Published: September 2023

AbstractThe precision of artificial intelligence (AI)‐generated information has been suggested in the past as a method of nudging consumers' evaluations and intentions, but little is known about whether such effects are also context‐sensitive. Based on four studies, we find a matched condition under which consumers are more likely to make a positive response when precise (imprecise) numbers presented by AI recommenders are used in a utilitarian (hedonic) consumption context (Study 1). Additionally, we show that consumer conceptual fluency also mediates this matching effect on consumer purchase decision‐making (Studies 2). We further show the matching effect is moderated by the recommender type (Study 3) and consumer lay beliefs about the AI and human recommenders (Study 4). This study shows that when consumers' lay belief changes from “AI performs objective tasks well” and “Human performs subjective tasks well” to “AI performs subjective tasks well” and “Human performs objective tasks well,” it can change the difference in the matching relationship between human and AI recommenders.
FGFR families: biological functions and therapeutic interventions in tumors
Authors: Liu Qing , Huang Jiyu , Yan Weiwei , Liu Zhen , Liu Shu , Fang Weiyi 
Published: September 2023

AbstractThere are five fibroblast growth factor receptors (FGFRs), namely, FGFR1–FGFR5. When FGFR binds to its ligand, namely, fibroblast growth factor (FGF), it dimerizes and autophosphorylates, thereby activating several key downstream pathways that play an important role in normal physiology, such as the Ras/Raf/mitogen‐activated protein kinase kinase/extracellular signal‐regulated kinase, phosphoinositide 3‐kinase (PI3K)/AKT, phospholipase C gamma/diacylglycerol/protein kinase c, and signal transducer and activator of transcription pathways. Furthermore, as an oncogene, FGFR genetic alterations were found in 7.1% of tumors, and these alterations include gene amplification, gene mutations, gene fusions or rearrangements. Therefore, FGFR amplification, mutations, rearrangements, or fusions are considered as potential biomarkers of FGFR therapeutic response for tyrosine kinase inhibitors (TKIs). However, it is worth noting that with increased use, resistance toTKIsinevitably develops, such as the well‐known gatekeeper mutations. Thus, overcoming the development of drug resistance becomes a serious problem. This review mainly outlines the FGFR family functions, related pathways, and therapeutic agents in tumors with the aim of obtaining better outcomes for cancer patients with FGFR changes. The information provided in this review may provide additional therapeutic ideas for tumor patients with FGFR abnormalities.