bluuebunny/crossref_metadata_2025_split huggingface dataset:
An evaluation of the associations among posttraumatic stress disorder, depression, and complicated grief in active duty military personnel with traumatic loss
Authors: Jacoby Vanessa M. , Straud Casey L. , Tyler Hannah , Dondanville Katherine A. , Yarvis Jeffrey S. , Mintz Jim , Young‐McCaughan Stacey , Peterson Alan L. , Wachen Jennifer Schuster , Resick Patricia A. ,   for the STRONG STAR Consortium
Published: August 2024

AbstractBetween 44% and 87% of active duty service members and veterans who deployed following the September 11, 2001, terrorist attacks know someone who was killed or seriously injured in combat. Considering the high frequency and known impact of traumatic loss, it is important to understand if and how traumatic loss may impede posttraumatic stress disorder (PTSD) treatment progress in military personnel. Additionally, experiencing a traumatic loss elevates the risk of developing prolonged grief disorder (PGD), which is associated with higher levels of PTSD symptoms, more functional impairment, and more lifetime suicide attempts among military personnel. Given what is known about the association between PGD and PTSD in treatment‐seeking service members and veterans, it is also important to understand whether grief‐related symptom severity negatively impacts PTSD treatment response. The current study examined associations among traumatic loss, complicated grief, depressive symptoms, and PTSD treatment response among military personnel (N = 127) who participated in variable‐length cognitive processing therapy (CPT). There was no direct, F(2, 125) = 0.77, p = .465, or indirect, β = .02, p = .677, association between a traumatic loss index event and PTSD treatment response compared with other trauma types. Prior assessments of depressive symptom severity were directly related to PTSD at later assessments across two models, ps < .001–p = .021 Participants with a traumatic loss index trauma demonstrated significant reductions in complicated grief, depressive symptoms, and PTSD following CPT, ps < .001, ds = −0.61–−0.83. Implications, study limitations, and suggestions for future research are presented.
A comprehensive analysis of spatial and temporal patterns of anthropogenic adult mortality of Bonelli's eagles in eastern Spain
Authors: López‐Peinado Andrés , Urios Vicente , López‐López Pascual 
Published: August 2024

AbstractIn eastern Spain, Bonelli's eagle (Aquila fasciata) abundance has declined almost 50% in the last 25 years and, consequently, the species is listed as regionally endangered. Therefore, the aim of this study is to report the mortality causes of territorial breeding Bonelli's eagles, including the spatial and temporal patterns, and to assess the effects on population dynamics. From 2015–2023, we tracked 60 Bonelli's eagles via global positioning system‐global system for mobile communications (GPS‐GSM) telemetry; 33 of the eagles died (median survival time = 1,519 days). Survival did not differ in relation to sex, age at capture (subadult vs. adult birds), breeding site (coastland vs. inland territories), or transmitter's model. One‐year probability of survival (95% CI) was 0.716 (0.607–0.845); 2‐year survival was 0.640 (0.524–0.781); and 3‐year survival was 0.581 (0.464–0.729). Anthropogenic mortality (66.7% of cases) prevailed over natural (27.3%) and unknown causes (6.0%). Causes of mortality were intra‐ and interspecific predation (24.2% of cases), electrocution (18.2%), poisoning (15.1%), collision with power lines (9.1%), shooting (9.1%), drowning (9.1%), collision with other man‐made infrastructure (6.1%), and disease (3.0%). Deaths were most frequent during the early breeding season. Only 2 (6.1%) of 33 deaths recorded occurred within a protected area. Natural causes of mortality were more frequent away from the Mediterranean coast. In contrast, anthropogenic deaths were more frequent near the Mediterranean coast, where human population density is high. We estimated that probability of extirpation of the species in our study area is 17.8% in the next 50 years and 99.2% in 100 years. Nonetheless, a small reduction in adult mortality by ≥15% could prevent extirpation in the next 50 years. Therefore, actions to reduce adult mortality are urgently needed to preserve the Bonelli's eagle in eastern Spain.
The regulatory fit effect on consumer preferences for price discounts and bonus packs
Authors: Yao Jun , Wang Di , Martin Brett A. S. 
Published: August 2024

AbstractAlthough prior research suggests that a bonus pack is perceived as a pure gain and is thus preferred by consumers over a price discount which is perceived as a reduction in loss, the empirical evidence in the literature is mixed about whether consumers prefer price discounts or bonus packs. This research investigates how consumers' regulatory orientation influences their preferences for these two promotional tactics. The authors proposes that prevention‐oriented consumers prefer a price discount over a bonus pack, but promotion‐oriented consumers prefer a bonus pack over a price discount. This effect is due to the regulatory fit between the promotional tactic and consumers' regulatory orientation. A price discount aligns with a prevention orientation to minimize losses, while a bonus pack aligns with a promotion orientation to maximize gains. Furthermore, the authors propose that this regulatory fit effect on preferences is sequentially mediated by the experience of feeling right and perceived value of the promotional tactics. Four studies using different products and different operationalizations of regulatory orientation in both field and online settings provide converging and robust evidence for the proposed effect and underlying mechanism. Finally, the authors show that the proposed effect is attenuated when consumers' level of involvement increases.
Distinct Clinical Implications of Patient‐ Versus Clinician‐Rated Motor Symptoms in Parkinson's Disease
Authors: Kikuya Akihiro , Tsukita Kazuto , Sawamura Masanori , Yoshimura Kenji , Takahashi Ryosuke 
Published: August 2024

AbstractBackgroundPatient‐rated motor symptoms (PRMS) and clinician‐rated motor symptoms (CRMS) often differ in Parkinson's disease (PD).ObjectiveOur goal was to investigate the determinants and clinical implications of PRMS compared with CRMS in PD.MethodsThis retrospective, observational cohort study analyzed the cross‐sectional associations and longitudinal impacts of PRMS as assessed by the Movement Disorders Society‐sponsored Unified PD Rating Scale (MDS‐UPDRS) part 2, while controlling for CRMS measured by MDS‐UPDRS part 3. Longitudinal analyses used Cox proportional hazards models and multiple linear mixed‐effects random intercepts/slope models, adjusting for many clinical predictors. We conducted propensity score matching (PSM) to reinforce our analyses' robustness and surface‐based morphometry to investigate neural correlates.ResultsWe enrolled 442 patients with early‐stage PD. At baseline, regardless of CRMS, PRMS were associated with the severity of postural instability and gait disturbance (PIGD). Notably, PRMS independently and more accurately predicted faster long‐term deterioration in motor function than CRMS (Hoehn and Yahr 4, adjusted hazard ratio per +1 point = 1.19 [95% confidence intervals, 1.08–1.32]), particularly in PIGD (PIGD subscore, β‐interaction = 0.052 [95% confidence intervals, 0.018–0.086]). PSM confirmed these findings' robustness. Surface‐based morphometry suggested that enhanced sensory processing was distinctively associated with PRMS.ConclusionsIn early‐stage PD, PRMS weighed different aspects of symptoms and more effectively predicted motor deterioration compared to CRMS, with distinctive brain structural characteristics. The superior sensitivity of PRMS to subtle declines in drug‐refractory symptoms like PIGD likely underlie our results, highlighting the importance of understanding the differential clinical implications of PRMS to prevent long‐term motor deterioration. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Identification of anN‐valued heterogeneous conductivity profile in an inverse heat conduction problem
Authors: Ciarbonetti Angel A. , Idelsohn Sergio , Mazzieri Gisela L. , Spies Ruben D. 
Published: August 2024

SummaryIn this article we deal with the problem of determining a non‐homogeneous ‐valued heat conductivity profile in a steady‐state heat conduction boundary‐value problem with mixed Dirichlet‐Neumann boundary conditions over a bounded domain in , from the knowledge of the temperature field over the whole domain. In a previous work we developed a method based on a variational approach of the PDE leading to an optimality equation which is then projected into a finite dimensional space. Discretization of the optimality equation then yields a linear although severely ill‐posed equation which is then regularized via appropriate ad‐hoc penalizers based upon a‐priori information about the conductivities of all materials present. This process results in a generalized Tikhonov‐Phillips functional whose global minimizer yields our approximate solution to the inverse problem. In our previous work we showed that this approach yields quite satisfactory results in the cases of two different conductivities. We considered here an appropriate extension of that approach for the materials case and show a few numerical examples for the case in which the method is able to produce very good reconstructions of the exact solution.
Effect of A118G (rs1799971) single‐nucleotide polymorphism of the μ‐opioid receptor OPRM1 gene on intraoperative remifentanil requirements in Japanese women undergoing laparoscopic gynecological surgery
Authors: Zou Ruying , Nishizawa Daisuke , Inoue Rie , Hasegawa Junko , Ebata Yuko , Nakayama Kyoko , Hara Atsuko , Sumikura Hiroyuki , Kitade Mari , Hayashida Masakazu , Ikeda Kazutaka , Kawagoe Izumi 
Published: August 2024

AbstractAimAbundant data are available on the effect of the A118G (rs1799971) single‐nucleotide polymorphism (SNP) of the μ‐opioid receptor OPRM1 gene on morphine and fentanyl requirements for pain control. However, data on the effect of this SNP on intraoperative remifentanil requirements remain limited. We investigated the effect of this SNP on intraoperative remifentanil requirements.MethodsWe investigated 333 Japanese women, aged 21–69 years, who underwent laparoscopic gynecological surgery for benign gynecological disease under total intravenous anesthesia at Juntendo University Hospital. Average infusion rates of propofol and remifentanil during anesthesia and the average bispectral index (BIS) during surgery were recorded. Associations among genotypes of the A118G and phenotypes were examined with the Mann–Whitney U test.ResultsThe average propofol infusion rate was not different between patients with different genotypes. The average remifentanil infusion rate was significantly higher in patients with the AG or GG genotype than the AA genotype (p = 0.028). The average intraoperative BIS was significantly higher in patients with the GG genotype than the AA or AG genotype (p = 0.039).ConclusionsThe G allele of the A118G SNP was associated with higher intraoperative remifentanil requirements and higher intraoperative BIS values but was not associated with propofol requirements. Given that remifentanil and propofol act synergistically on the BIS, these results suggest that the G allele of the A118G SNP is associated with lower effects of remifentanil in achieving adequate intraoperative analgesia and in potentiating the sedative effect of propofol on the BIS.
A fine‐tuning workflow for automatic first‐break picking with deep learning
Authors: Mardan Amir , Blouin Martin , Fabien‐Ouellet Gabriel , Giroux Bernard , Vergniault Christophe , Gendreau Jeremy 
Published: August 2024

AbstractFirst‐break picking is an essential step in seismic data processing. For reliable results, first arrivals should be picked by an expert. This is a time‐consuming procedure and subjective to a certain degree, leading to different results for different operators. In this study, we have used a U‐Net architecture with residual blocks to perform automatic first‐break picking based on deep learning. Focusing on the effects of weight initialization on first‐break picking, we conduct this research by using the weights of a pre‐trained network that is used for object detection on the ImageNet dataset. The efficiency of the proposed method is tested on two real datasets. For both datasets, we pick manually the first breaks for less than 10 of the seismic shots. The pre‐trained network is fine‐tuned on the picked shots, and the rest of the shots are automatically picked by the neural network. It is shown that this strategy allows to reduce the size of the training set, requiring fine‐tuning with only a few picked shots per survey. Using random weights and more training epochs can lead to a lower training loss, but such a strategy leads to overfitting as the test error is higher than the one of the pre‐trained network. We also assess the possibility of using a general dataset by training a network with data from three different projects that are acquired with different equipment and at different locations. This study shows that if the general dataset is created carefully it can lead to more accurate first‐break picking; otherwise, the general dataset can decrease the accuracy. Focusing on near‐surface geophysics, we perform traveltime tomography and compare the inverted velocity models based on different first‐break picking methodologies. The results of the inversion show that the first breaks obtained by the pre‐trained network lead to a velocity model that is closer to the one obtained from the inversion of expert‐picked first breaks.
Generation of two‐level representative volume element model for uncertainty analysis of composite materials
Authors: Peng Xiang , Jiang Haohao , Li Jiquan , Jia Weiqiang , Yi Bing , Wu Huaping , Jiang Shaofei 
Published: August 2024

AbstractThis work presents a new two‐level representative volume element model for generating random fiber distributions in continuous fiber composite materials. A representative volume element (RVE) model with random geometric boundaries is generated, and the adaptive connections between neighboring RVEs are realized to eliminate unreasonable connections that may occur at the boundaries of RVEs. Subsequently, a novel adaptive generation and construction algorithm for larger RVE (LRVE) is proposed to consider more micro‐scale geometric and material uncertainties. A computational framework is established to implement the adaptive construction of LRVE and determine the statistical uncertainties of continuous fiber composite materials. The uncertain statistical results of the proposed algorithm are compared with those of the random sequential expansion algorithm and the complete spatial random pattern, showing good agreements among them. Finally, the uncertainty of macro‐scale linear elastic anisotropic material parameters is evaluated by using the integrated software framework. The maximum relative error of the predicted macro‐scale elastic properties is only 8.70%, which outperforms other numerical analysis results in literatures. The proposed algorithm is helpful for further research on multi‐scale linear elastic uncertainty analysis and reliability design of continuous fiber composite materials.
Reinforcing and toughening poly (lactic acid) using cellulose nanocrystal grafted with epoxidized soybean oil
Authors: Xie Zhongyuan , Li Xinyu , Zhang Qiyuan , Jiang Hua 
Published: August 2024

AbstractCurrently, toughening poly(lactic acid) (PLA) without reducing its strength and modulus is still challenging. Fortunately, this problem could be addressed by incorporating cellulose nanocrystals grafted with epoxidized soybean oil (CNCs‐g‐ESO) into the PLA matrix. The percolation threshold for uniform dispersion of the CNCs‐g‐ESO in the PLA matrix was about 0.8 wt%. The loading made the elongation at break and tensile fracture energy of the PLA composite film increase to 26.5 and 11.26 from 3.7% and 0.96 MJ.m−3, respectively, concerning the neat PLA. Meanwhile, it also resulted in a 4.7% and 12.4% increase in the tensile strength and Young's modulus, respectively. Additionally, the initial decomposition temperature (T5%) of the PLA composite increased to 334.9 from 316.1°C after incorporating the CNCs‐g‐ESO. Therefore, the CNCs‐g‐ESO, acting as an ESO‐like plasticizer and a CNCs‐like nucleating agent, is a potential nanofiller for reinforcing and toughening PLA.Highlights
Cellulose nanocrystal grafted with epoxidized soybean oil (CNCs‐g‐ESO)
The CNCs‐g‐ESO acting as both plasticizer and nucleating agent
The CNCs‐g‐ESO decreasing the spherulite size, but increasing the CrI of PLA
The CNCs‐g‐ESO enlarging the window for thermal process of PLA
Simultaneous reinforcement and toughness of PLA
Solutions and applications of fracture properties for clamped single edge notched tensile specimen of orthotropic materials
Authors: Wang Jinghui , Jin Pengfei , Chen Haoruo , Liu Zheng , Zhang Zhe , Wang Xin , Chen Xu 
Published: August 2024

AbstractClamped single edge notched tensile (SENT) specimens are widely used in fracture toughness test and fatigue crack growth experiment of structural materials. However, the existing fracture parameters of clamped SENT specimens are all based on isotropic conditions, which limits the application of anisotropic materials. In this study, a systematic finite element analysis of orthotropic clamped SENT specimens was carried out to determine the stress intensity factor (K) and compliance (C). A wide range of orthotropic and geometric parameters, including crack length over width ratio (a/W), daylight to width ratio (H/W), and material parameters λ and ρ, were considered. The coupling effects of material parameters and geometrical dimensions on fracture properties were then investigated. Results showed that the K and C increase with the increase of a/W and H/W, and decrease with the increase of λ and ρ. The value of C is more sensitive to changes of orthotropic and geometric parameters than the K. Moreover, the accurate solutions for normalized K, C and compliance‐based crack length prediction were developed. Applications of the proposed solutions on experimental data were presented and discussed. The current results will help to accurately calculate the fracture toughness or FCG rate of composites, further advancing the standardization process of composites testing based on SENT specimens.Highlights
Evaluate the K and Compliance for orthotropic single edge notched tensile (SENT) specimens using 2D finite element analysis;
The coupling effects of orthotropic parameters and geometric sizes are studied;
Develop prediction equations for K and C of clamped SENT specimen;
Propose a universal crack length estimation method based on the compliance;
Discuss the application of the proposed equations to the tested data of UD CFRP.
The Comparison of Newly Diagnosed Invasive Breast Patient Cohorts in Genomics Evidence Neoplasia Information Exchange Biopharma Collaborative (GENIE‐BPC) and Other Real‐World Databases
Authors: Liu Xinyue , Alipour Golnoosh Haris , Shao Changxia , Burcu Mehmet , Bortnichak Edward , Vo Thao , Yu Chu‐Ling 
Published: August 2024

ABSTRACTBackgroundOncology databases that integrate genomic and clinical data have become valuable resources for precision medicine. However, the generalizability of these databases has not been comprehensively assessed.ObjectivesTo describe the demographics, clinical characteristics, treatments, and overall survival of breast cancer cohorts in GENIE‐BPC and three other databases.MethodsThis study utilized GENIE‐BPC, SEER, SEER‐Medicare, and Merative MarketScan Research Databases. Women with invasive breast cancer were identified through EHR, cancer registries or ICD‐9/10‐CM codes. The ages were 18+ years or per database requirement. Treatments were based on EHR or HCPCS/NDC codes in claims. Overall survival was estimated as time from diagnosis to death.ResultsOf female breast cancer patients in GENIE‐BPC (n = 775), SEER (n = 548 336), SEER‐Medicare (n = 68 914), and Marketscan (n = 109 499) databases, the median ages at initial diagnosis were 44, 62, 74, and 57 years, respectively. A greater proportion of patients in GENIE‐BPC, compared to SEER/SEER‐Medicare, had higher nuclear grades (%III–%IV: 57% vs. 26%/24%), advanced disease stage (%IV: 25.3% vs. 5%/3.6%), percent of triple negative breast cancer (19.7% vs. 10.2%/8.5%), and receipt of chemotherapy (85.0% vs. NA/22.3%). The 1‐, 3‐, and 5‐year overall survival rates were lower in GENIE‐BPC (78.5%, 60.5%, 55.5%) than in SEER (95.8%, 89.5%, 85.5%) and SEER‐Medicare (91.6%, 81.4%, 75.0%).ConclusionBreast cancer patients in GENIE‐BPC were younger, had more advanced disease, had a higher proportion of triple negative breast cancer and recipients of chemotherapy, and had poorer overall survival. Researchers must use statistical adjustment when extrapolating results (e.g., biomarker prevalence) from GENIE‐BPC to the larger breast cancer population.
Pregnancy and Infant Outcomes After Prenatal Exposure to Golimumab in Denmark, Finland, and Sweden 2006–2019
Authors: Karlsson Pär , Gembert Karin , Esslinger Suzan , Geldhof Anja , Gissler Mika , Leinonen Maarit K. , Otero‐Lobato Marijo , Pedersen Lars , Cesta Carolyn E. 
Published: August 2024

ABSTRACTPurposeTo present the main findings of a post‐authorization safety study assessing pregnancy and infant outcomes after prenatal golimumab exposure in a real‐world setting.MethodsThis observational population‐based cohort study included data from pregnancies ending in 2006–2018 (Finland) or 2019 (Denmark, Sweden). Infants born to women with rheumatic diseases or ulcerative colitis diagnoses were identified. Based on prescription fills from 90 days prior to pregnancy until delivery, infants were assigned to one of the four drug‐exposure cohorts: golimumab, other anti‐TNF biologics, other biologics, and nonbiologic systemic therapy, and the general population. Prevalence of adverse pregnancy outcomes, mortality, diagnoses of major congenital anomalies (MCA), and inpatient infections in the infants' first year of life were assessed. Odds ratios and 95% CIs were calculated for MCA and infection.ResultsAmong 134 infants in the golimumab cohort, none were stillborn or died in the first year of life. MCA were diagnosed in 4.5% of the infants in the golimumab cohort, versus 6.8%, 10.9%, 5.5%, and 4.6% in the other anti‐TNF biologics, other biologics, nonbiologic systemic therapy and general population cohorts, respectively. Inpatient infections were diagnosed in 11% of golimumab‐exposed infants, compared with 9%–11% of infants in the other cohorts. Unadjusted and selected adjusted comparisons showed no association between prenatal golimumab exposure and MCA or infection compared with the other exposure cohorts or general population.ConclusionsThe number of infants with prenatal golimumab exposure was low, but results are reassuringly consistent with the evidence available for other anti‐TNF biologics. Continued monitoring is needed.