bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time history iteration algorithm for offline real‐time hybrid testing
Authors: Guo Youming , Wang Haishen , Pan Peng 
Published: October 2023

AbstractReal‐time hybrid testing (RTHT) is a reliable and efficient method for large‐scale dynamic testing. Unlike online RTHT, offline RTHT allows the computation of the numerical substructure independent of the loading of the experimental substructure, which has obvious advantages in terms of accuracy, stability, and cost. The existing offline RTHT method is difficult to converge in many cases and has a limited range of applications. This paper proposes a new time history iteration (THI) algorithm based on cumulative increments. The increment of the next iteration signal is determined based on the increments of all previous iteration signals. The proposed algorithm can improve the system stability and convergence speed of offline RTHT. The stabilization mechanism and effect of the key parameter were investigated by conducting a series of simulations. Physical tests were performed on structures equipped with a tuned mass damper and an active mass damper. The test results suggest that the proposed THI algorithm can simultaneously consider iterations at all time steps and solve the coupling problem in offline RTHT. The time history iteration is stable and always converges in tests when facing complex situations such as resonance, nonlinearity, closed‐loop control, and measurement noise.
Conceptual model for the formation of bedforms along subglacial meltwater corridors (SMCs) by variable ice‐water‐bed interactions
Authors: Vérité Jean , Livingstone Stephen J. , Ravier Edouard , McMartin Isabelle , Campbell Janet , Lewington Emma L. M. , Dewald Nico , Clark Chris D. , Sole Andrew J. , Storrar Robert D. 
Published: October 2023

AbstractSubglacial meltwater landforms found on palaeo‐ice sheet beds allow the properties of meltwater drainage to be reconstructed, informing our understanding of modern‐day subglacial hydrological processes. In northern Canada and Fennoscandia, subglacial meltwater landforms are largely organized into continental‐scale networks of subglacial meltwater corridors (SMCs), interpreted as the relics of subglacial drainage systems undergoing variations in meltwater input, effective pressure and drainage efficiency. We review the current state of knowledge of bedforms (hummocks, ridges, murtoos, ribbed bedforms) and associated landforms (channels, eskers) described along SMCs and use selected high‐resolution DEMs in Canada and Fennoscandia to complete the bedform catalogue and categorize their characteristics, patterning and spatial distributions. We synthesize the diversity of bedform and formation processes occurring along subglacial drainage routes in a conceptual model invoking spatiotemporal changes in hydraulic connectivity, basal meltwater pressure and ice‐bed coupling, which influences the evolution of subglacial processes (bed deformation, erosion, deposition) along subglacial drainage systems. When the hydraulic capacity of the subglacial drainage system is overwhelmed glaciofluvial erosion and deposition will dominate in the SMC, resulting in tracts of hummocks and ridges arising from both fragmentation of underlying pre‐existing bedforms and downstream deposition of sediments in basal cavities and crevasses. Re‐coupling of ice with the bed, when meltwater supply decreases, facilitates deformation, transforming existing and producing new bedforms concomitant with the wider subglacial bedform imprint. We finally establish a range of future research perspectives to improve understanding of subglacial hydrology, geomorphic processes and bedform diversity along SMCs. These perspectives include the new acquisition of remote‐sensing and field‐based sedimentological and geomorphological data, a better connection between the interpreted subglacial drainage configurations down corridors and the mathematical treatments studying their stability, and the quantification of the scaling, distribution and evolution of the hydraulically connected drainage system beneath present‐day ice masses to test our bedform‐related conceptual model.
Effect on nutritional quality changes in fresh and canned Scomber australasicus and Scomberomorus guttatus
Authors: Aberoumand Ali , Baesi Farideh 
Published: October 2023

AbstractThe purpose of present research was to investigate the effect of different storage periods on nutrients composition of the two the fish species. In the present study, proximate composition, energy values and oil indexes of two the fish species Scomber australasicus and Scomberomorus guttatus were determined. The lipid content of the fresh S. guttatus was found significantly higher than the S. australasicus (p < .05). The S. australasicus after 2 months storage found lowest calorie value (275.5 kcal/kg). The calorie values of S. australasicus after 4 months storage was 292.5 kcal/kg and for S. guttatus after 6 months storage (375.70 kcal/kg) found highest. The number of acidic and peroxide for both types of fish after 2 months storage found 2.66 mg KOH/g and 4.22 meqO2/kg for S. australasicus, and found 2.47 mg KOH/g and 3.76 meqO2/kg for S. guttatus which were lowest compared to the other two treatments. The storage periods after the canning process led to a decrease in protein and moisture contents and increase in the lipid content of the canned tuna. The calorie level was related to the parameters such as fat level of the processed S. guttatus after 6 months storage which lead to high calorie level (375.70 kcal/kg−1), while processed S. australasicus after 2 months storage with lower fat content (15.1%) had lower energy value (275.5 kcal/kg−1). The highest acidic, and peroxide value for treatment 6 months storage for canned fish S. guttatus was 4.34 ± 0.36 mg KOH/g, and 5.74 ± 0.25 (meqO2/kg), while for S. australasicus was 4.21 ± 0.34 mg KOH/g, and 6.67 ± 0.23 (meqO2/kg), It can be concluded for fish 6 months storaged S. guttatus, shelf life increased the and can be stored for several years.
Intra voxel analysis in magnetic resonance imaging via deep learning
Authors: Autorino Maria Maddalena , Franceschini Stefano , Ambrosanio Michele , Pascazio Vito , Baselice Fabio 
Published: October 2023

AbstractMagnetic Resonance Imaging (MRI) is a useful diagnostic method for producing anatomical images of the body. It differentiates tissues thanks to the measure of their proton density and relaxation times and . Since pathological tissues often present altered , and with respect to the physiological ones, MRI is largely used for the detection of large number of conditions. In addition, MRI scan presents an effective resolution able to detect very small anatomical elements, making the imaging system well suitable in contexts like prevention and early diagnosis. Nevertheless, system resolution imposes pathological volume to be larger than the voxel dimension. Since in some pathologies and conditions it could be very helpful to find tissues even smaller than the voxel dimension, this manuscript proposes an algorithm able to analyze voxel content and detect which one presents more than one tissue in its volume (i.e., which one is heterogeneous). More in detail, a machine learning algorithm is proposed, able to highlight, in the MR image, which pixel corresponds to an heterogeneous voxel. Method shows to be promising in combining good results and near real‐time processing in both simulated and real scenario.
Can unexpected pension contributions improve employee productivity? Evidence from the Tax Cuts and Jobs Act of 2017
Authors: Dai Narisa Tianjing , Liu Leo Jiahe , Pérez Rebeca 
Published: October 2023

AbstractWe examine the effect of unexpected defined benefit (DB) pension contributions on employee productivity. The Tax Cuts & Jobs Act (TCJA), implemented in the U.S. in 2017, decreased the corporate tax rate from 35 percent in 2017 to 21 percent in 2018. This change incentivized firms to increase DB pension contributions in 2017 . The TCJA provides an opportunity to study the motivation effect of unexpected employee benefits. We empirically find that resulting increases in DB pension contributions motivate employees to produce, and that labor intensity and length of operating cycle can enhance this association. We also find that general unexpected pension contributions have no pronounced effect on employee productivity. We further show that such a change in pension contributions does not significantly increase overproduction costs.
Ranking the community psychology research output of institutions and authors: A new system of evaluating the field
Authors: Ruesink Lauren , Jason Leonard A. 
Published: October 2023

AbstractThere have been multiple efforts to evaluate the contributions of the field of Community Psychology, and one of the more popular methods has involved gathering citations and articles published in Community Psychology journals. In recent years, several sites have gathered citation analysis and article publication rates so that it is now relatively easy to summarize settings and scholar rankings. In the current study, articles published in the two major journals of the field of Community Psychology over the past five decades were evaluated for these publications and citations. Findings indicated that several of the settings with highest publication and citation rates have not developed Community Psychology graduate programs, thus indicating that many publishing authors are in settings without formal graduate programs in Community Psychology. The benefits and limitations of this method of ranking programs and individuals are reviewed.
Does diabetes mellitus affect the development of fetal brain structures and spaces including corpus callosum, subarachnoid space, insula, and parieto‐occipital fissure?
Authors: Guleroglu Filiz Yarsilikal , Ocal Aydın , Bakirci Isil Turan , Cetin Ali 
Published: October 2023

AbstractPurposeWe investigated the impact of pregestational and gestational diabetes mellitus (PGDM and GDM) on the development of fetal intracranial structures and spaces.MethodsThis prospective cross‐sectional study involved singleton pregnancies between 20 and 32 weeks of gestation. The study comprised a control group (n = 65) of healthy pregnant women without diabetes mellitus (DM); a PGDM group (n = 43) of pregnant women having type 2 DM in a controlled diabetic state; and a GDM group (n = 26) of pregnant women with GDM diagnosed with 2‐h 75‐g oral glucose tolerance test and received intervention to reduce the diabetic impact on fetus. During neurosonographic evaluation, the simultaneous measurements of corpus callosum (CC) width and depth in the midsagittal image; and lateral craniocortical and posterior craniocortical widths of the subarachnoid space and insular and parieto‐occipital fissure depths in the axial image were performed. Before statistical analysis, these values were carefully adjusted for the occipitofrontal diameter.ResultsThe DM groups displayed substantially higher frequencies of family history of DM and obstetric history of GDM compared to the control group (p < 0.05). Regarding the neurosonographic parameters, the CC length and insular and parieto‐occipital fissure depths were significantly increased in the GDM group but not in the PGDM group (p < 0.05). No significant difference was found among the study groups regarding other neurosonographic parameters (p > 0.05).ConclusionThe results of neurosonographical evaluation of fetal brain structures and spaces reveal that diabetic impact may not be seen in the presence of PGDM, especially in pregnant women receiving prenatal interventions to reduce or avoid diabetic adverse effects on fetal brain development. The effect of GDM on neurosonographically assessed fetal brain development should be evaluated in further studies with subjects matched for gestational weeks and antenatal care conditions.
Biventricular Dysfunction and Ventricular Interdependence in Patients With Pulmonary Hypertension: A 3.0‐T Cardiac MRI Feature Tracking Study
Authors: Fang Han , Wang Jin , Shi Rui , Li Yuan , Li Xue‐Ming , Gao Yue , Shen Li‐Ting , Qian Wen‐Lei , Jiang Li , Yang Zhi‐Gang 
Published: October 2023

BackgroundPulmonary hypertension (PH) results in right ventricular (RV) dysfunction, subsequently leading to left ventricular (LV) impairment. The mechanism underlying ventricular interdependence is largely uninvestigated.PurposeTo explore the biventricular dysfunction and the ventricular interdependence in PH patients.Study TypeRetrospective.PopulationOne hundred and seven PH patients (mean pulmonary artery pressure >20 mmHg) and 72 age‐ and sex‐matched controls with cardiac magnetic resonance imaging (MRI) studies.Field Strength/Sequence3.0 T/balanced steady‐state free precession sequence.AssessmentLV and RV ejection fractions (EF) and RV and LV radial, circumferential, and longitudinal strains were assessed using commercial software. Strains were compared between controls, PH patients with preserved RVEF (RVEF ≥40%, N = 48), and PH patients with reduced RVEF (RVEF <40%, N = 59).Statistical TestsChi‐squared tests or Fisher's exact test, t tests or Mann–Whitney U test, one‐way ANOVA with Bonferroni's post hoc correction or Kruskal–Wallis test, Pearson or Spearman correlation, and multivariable linear regression analysis. A two‐tailed P < 0.05 was deemed statistically significant.ResultsRV strain decreased sequentially from controls, through PH with preserved RVEF, to PH with reduced RVEF. PH patients with reduced RVEF had significantly lower LV strain, especially septal strain, and LV peak diastolic strain rate compared with both controls and PH patients with preserved RVEF. Multivariable analyses showed that RVEF was independently correlated with LV strain; furthermore, independent of RVEF, RV strain was significantly correlated with LV strain (LVGRS: β = 0.416; LVGCS: β = −0.371; LVGLS: β = 0.283).Data ConclusionSubclinical impairment of RV function was found in PH with preserved RVEF. LV strain was impaired when RV was dysfunctional, which was associated with worsening RV strain. Therefore, while focusing on improving RV function, LV dysfunction in PH patients should also be monitored and treated early in order to slow the progression of the disease.Level of Evidence3Technical EfficacyStage 3
Effective factors of icons searching performance based on visual attention capture for the nuclear power plants
Authors: Wu Xiaoli , Zhou Can , He Yuqi , Li Qian , Yu Shikang 
Published: October 2023

AbstractWith the rapid development of digital and intelligent information systems, the display of visual information on interfaces has become an important challenge in the field of human‐computer interaction, as well as the human‐computer interface of nuclear power plants. This paper examines effective factors affecting visual attention capture based on icons related to the human‐computer interface of nuclear power plants. Experiments were conducted on multiple factors of visual search tasks with reference to information features to analyze information display factors affecting visual cognitive performance. The experimental results showed that the three factors, icon shape, feature display, and target position, have a great effect on information searching performance. The main effect of reaction time on three factors all reached a significance level congruent with the effect on fixation time and pupil response. Eye gaze indexes of feature display factors presented an increasing trend, which indicates that the information block spends more time on cognitive processing than icon features in the human‐computer interface of nuclear power plants. Pupil diameter was dilated when searching icons under difficult visual cognition conditions, and when searching information blocks, pupils were dilated more than searching single icons. Therefore, shape highlighting of data icons in the human‐computer interface of nuclear power plants can effectively improve the attention capture of the operator's visual search, and the ease of icon discrimination is an influential factor in visual attention capture.
Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt
Authors: Kivilä E. Henriikka , Prėskienis Vilmantas , Gaudreault Noémie , Girard Catherine , Rautio Milla 
Published: October 2023

AbstractClimate change is causing seasonally ice‐covered lakes of the boreal region to undergo changes in their winter regime by altering patterns of precipitation and temperature, often reflected as reduced snow and ice cover duration. The duration, extent and quality of ice, and snow cover have a pivotal role for production and carbon cycling in lakes in winter, with potentially cascading effects for the following open water period. We investigated under‐ice carbon cycling by assessing bacterial growth (including bacterial production, bacterial respiration, and bacterial growth efficiency) and primary production at five water depths during early winter, midwinter, late winter and melting season in a boreal lake, and report significantly different temporal patterns. Bacterial respiration was dominant in early and midwinter, whereas the late winter and melting season were dominated by bacterial production. Multiple linear regression models indicated that high early winter bacterial respiration was associated with senescing phytoplankton, whereas bacterial production was promoted by the onset of spring processes. Collectively, bacterial growth indices were inherently linked with bacterioplankton community composition and specific biomarker taxa. Primary production under ice increased in late winter when light‐blocking snow cover melted, and primary production measured from the lake ice exceeded that of the water column at the melting season. Ice samples hosted diverse eukaryotic communities including photoautotrophs, suggesting that the habitat potential of the understudied lake ice and the role of ice for ecological processes at ice melt should be further explored.
Unilateral cross‐ownership and emission‐reduction technology sharing in a duopoly
Authors: Chen Junlong , Sun Xiaomin , Liu Jiali 
Published: October 2023

AbstractThis study constructs a Cournot duopoly model that considers unilateral cross‐ownership and emission‐reduction technology sharing, compares the equilibrium results under different cases, explores the impacts of unilateral cross‐ownership and technology sharing, and analyzes the boundary conditions for realizing technology sharing. The results indicate that unilateral cross‐ownership has complex effects on the equilibrium results. Emission‐reduction technology plays a positive role in improving environmental and social welfare. Furthermore, the boundary conditions of technology sharing were found to be affected by the carbon tax, cost‐reduction effect of emission‐reduction technology, and cross‐ownership.
Green level and environmental labeling strategies in a dual‐channel green supply chain considering consumer trust
Authors: Chen Zhengzheng , Xiao Tiaojun 
Published: October 2023

AbstractEnvironmental labeling has emerged as a crucial method for consumers to gain information related to the eco‐friendly attributes of a product. This paper examines environmental labeling strategies in a green supply chain. The manufacturer has the option to use either self‐labeling or external certified labeling, and consumers have different levels of trust in the two types of environmental labels. We find that under both strategies, supply chain decision makers should fully consider the impacts of consumer trust in environmental labeling, green research and development (R&D) cost, and the demand share of the direct channel on the supply chain. Besides, the retailer realizes higher profit under external certified labeling. A higher green R&D cost or smaller market proportion of the direct channel would dampen the motivation of the manufacturer to choose external certified labeling. Lastly, we explore the case of a risk‐averse retailer and find that the external certified environmental labeling is optimal when the risk aversion is high. Moreover, under both strategies, the risk‐averse attitude of the retailer leads to a more significant channel utility.
High‐Salt Diet Causes Defective Oocyte Maturation and Embryonic Development to Impair Female Fertility in Mice
Authors: He Qinyuan , Zheng Qiutong , Liu Yanping , Miao Yilong , Zhang Yumeng , Xu Ting , Bai Shufen , Zhao Xia , Yang Xiaojun , Xu Zhice 
Published: October 2023

AbstractScope: High salinity has been reported to induce many human disorders in tissues and organs to interfere with their normal physiological functions. However, it is unknown how salinity affects the development of female germ cells. This study suggests that a high‐salt diet (HSD) may weaken oocyte quality to impair female fertility in mice and investigates the underlying mechanisms.Methods and results: C57BL/6 female mice are fed with a regular diet (Control) or a high‐salt diet (HSD). Oocyte maturation, fertilization rate, embryonic development, and female fertility are evaluated. In addition, the spindle organization, actin polymerization, and kinetochore‐microtubule attachment of oocytes are examined in both groups. Moreover, single‐cell transcriptome data are used to demonstrate how HSD alters the transcript levels of genes. The observations confirm that HSD leads to female subfertility due to the deterioration of oocyte and embryo quality. The mechanism underlying reveals HSD compromises the oocytes' autophagy, apoptosis level, and mitochondrial function.Conclusion: The work illustrates that a high concentration of salt diet results in oocyte meiotic arrest, fertilization failure, and early developmental defection that embryos undergo to reduce female fertility in mice by perturbing the level of autophagy and apoptosis, mitochondrial function in oocytes.
Noncommunicable disease risk factors and cardiovascular risk among adults in Ethiopia: A cross‐sectional study
Authors: Alamnia Tilahun Tewabe , Sargent Ginny M. , Kelly Matthew 
Published: October 2023

AbstractBackgroundNoncommunicable diseases (NCDs) are rising in developing countries, posing substantial health, social, and economic consequences. Targeted action to address NCDs is difficult without data on the prevalence and social distribution of the risk factors.MethodsA cross‐sectional survey was conducted among randomly sampled adults in Bahir Dar, Northwest Ethiopia. Sociodemographic, lifestyle risk factors, knowledge, and anthropometric measurements were collected. Chi‐square and logistic regression analyses were conducted to identify predictors for NCD risk factors and cardiovascular risk.ResultsThis study involved 417 participants, with a mean age of 35.6 ± 12.6 years, in which 54.7% were females. The prevalence of inadequate fruit/vegetable intake was 95.7%, alcohol consumption 53.0%, physical inactivity 37.9%, tobacco use 1.9%, khat use 5.1%, hypertension 20.7%, overweight/obesity 29.6%, and abdominal obesity 67.4%. Overall, 55% of adults have clusters of three or more risk factors, and 14.6% have a moderate (10%–20%) 10‐year cardiovascular risk. Factors associated with NCD risk factors are sex, age, religion, marital status, occupation, and income. Ten‐year cardiovascular risk is higher in men (adjusted odd ratio (OR) 4.2, 95% CI 1.5–11.4), in adults with abdominal obesity (adjusted OR 5.8, 95% CI 1.4–24.2), and in those with clustered risk factors (adjusted OR 4.0, 95% CI 1.6–10.3).ConclusionThis study shows that adults in Northwest Ethiopia are at high risk of developing NCDs. Coordinated, multisectoral interventions at all levels of the socio‐ecological model are needed to reduce the risk factors.