bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flax seed and flower color inheritance is more complicated than once thought
Authors: Abtahi Mozhgan , Mirlohi Aghafakhr , Ataii Ehsan , Sabzalian Mohammad R. , Jafari Parisa 
Published: June 2023

AbstractFlower and seed color are two characteristics of flax (Linum usitatissimum L.) where the mode of inheritance can be obscured by different genetic backgrounds. In this study, eight genetically diverse genotypes of flax with pairwise contrasting seed and flower colors were carefully selected from a large diversity panel and crossed in all directions (56 crosses). The mode of inheritance of seed and flower color was studied in F1, F2, and F3 generations during 2017–2020. Segregation patterns in F1 and F2 generations indicated that seed color is primarily determined by maternal genotype, but parents’ genetic constitution finally defines character expression. Segregation analysis in the F3 generation indicated that seed color is governed by three loci designated as G, D, and Y1. Brown seed color was produced by the recessive allele of the Y1 locus and dominant alleles of the G and D loci (GGDDy1y1). The yellow seed color was attributed to the homozygous condition of two recessive genes and one dominant gene (ggDDy1y1 and GGddy1y1) or the homozygous condition of three dominant genes (GGDDY1Y1). Flower color was found to be controlled by three loci assigned as B1, B2, and C′, independent of the ones for seed color. The blue flower is governed by dominant alleles at all three loci, while homozygous recessive at any of the three loci will result in a white flower. Segregating ratios of 3:1, 9:7, 13:3, and 27:37 blue to white flowers suggested different epistatic interactions between these loci, including duplicate‐recessive and dominant‐recessive states.
A Multitool for Circular Economy: Fast Ring‐Opening Polymerization and Chemical Recycling of (Bio)polyesters Using a Single Aliphatic Guanidine Carboxy Zinc Catalyst
Authors: Fuchs Martin , Schäfer Pascal M. , Wagner Wolf , Krumm Ian , Walbeck Marcel , Dietrich Regina , Hoffmann Alexander , Herres‐Pawlis Sonja 
Published: June 2023

AbstractInvited for this month's cover is the group of Professor Sonja Herres‐Pawlis at the RWTH Aachen (Germany). The cover image illustrates the complex yet flexible circular economy of (bio)plastics and the role of a Zn‐based catalyst therein. The Research Article itself is available at 10.1002/cssc.202300192.
High‐normal unconjugated bilirubin is associated with decreased risk of chronic kidney disease in type 2 diabetes: A real‐world study
Authors: Xu Man‐Rong , Jin Chun‐Hua , Lu Jun‐Xi , Li Mei‐Fang , Li Lian‐Xi 
Published: June 2023

AbstractObjectiveTo investigate the association between serum unconjugated bilirubin (UCB) within normal limits and chronic kidney disease (CKD) in T2DM patients.MethodThis cross‐sectional, real‐world study was performed in 8661 hospitalised T2DM patients. The subjects were stratified into quintiles based on serum UCB levels. The clinical characteristics and CKD prevalence were compared among the UCB quantile groups. The associations of serum UCB levels and quintiles with CKD were also analysed by binary logistic regression.ResultsAfter controlling for age, sex, and diabetes duration (DD), the CKD prevalence (20.4%, 12.2%, 10.6%, 8.3%, and 6.4% for the first, second, third, fourth, and fifth quintiles, respectively, p < 0.001 for trend) was significantly decreased across the serum UCB quintiles. The fully adjusted regression model showed negative associations of serum UCB levels (OR: 0.660, 95% CI: 0.585–0.744; p < 0.001 for trend) and quintiles (p < 0.001) with the presence of CKD. Compared with the subjects in the lowest UCB quintile, the risk of CKD decreased by 36.2%, 54.3%, 53.8%, and 62.1%, respectively, in those from the second to the highest UCB quintile. Additionally, C‐reactive protein (CRP) levels were significantly higher in the subjects with CKD than in those without CKD (p < 0.001), and significantly decreased across the UCB quintiles (p < 0.001 for trend).ConclusionsSerum UCB levels within the normal range were significantly and negatively linked to CKD in T2DM patients. High‐normal UCB may be an independent protective factor for CKD by its antioxidant and the following anti‐inflammatory activities through its signalling activity, which was indicated by clearly decreased CRP levels across the UCB quintiles.
Area day‐ahead photovoltaic power prediction by just‐in‐time modeling with meso‐scale ensemble prediction system
Authors: Mori Yusuke , Wakao Shinji , Ohtake Hideaki , Takamatsu Takahiro , Oozeki Takashi 
Published: June 2023

AbstractPhotovoltaics (PV) output prediction, which is indispensable for power system operation, can affects demand and supply adjustment adversely when large prediction error occurs. Thus, the reduction of large error as well as average error is required in PV power prediction. In 2019, the operation of the Meso‐scale Ensemble Prediction System (MEPS) of numerical weather prediction started from the JapanMeteorological Agency, and the amount of forecasting information would be potentially useful for the improvement of PV power prediction. However, very few studies on inputting multiple meteorological elements of the MEPS have been reported. In this paper, we newly develop the prediction model for an area day‐ahead PV power output composed of Just‐In‐Time Modeling (JIT Modeling) with multiple elements of theMEPS. The developed method achieves precise forecasts with low computational load by both selecting meteorological elements valid for improving prediction accuracy and adequately devising the structure of JIT Modeling. Some numerical examples demonstrating the effectiveness of the developed method are also presented. In particular, the proposed method reduces large error significantly.
An integrated digital polymerase chain reaction chip for multiplexed meat adulteration detection
Authors: Yu Chengzhuang , Dai Shijie , Zhang Ziqi , Li Shanshan , Cheng Jingmeng , Hu Hezhi , Wu Jayne , Li Junwei 
Published: June 2023

AbstractMeat adulteration detection is a common concern of consumers. Here, we proposed a multiplex digital polymerase chain reaction method and a low‐cost device for meat adulteration detection. Using a polydimethylsiloxane microfluidic device, polymerase chain reaction reagents could be pump‐free loaded into microchambers (40 × 40 chambers) automatically. Due to the independence of multiplex fluorescence channels, deoxyribonucleic acid templates extracted from different animal species could be distinguished by one test. In this paper, we designed primers and probes for four types of meat (beef, chicken, pork, and duck) and labeled each of the four fluorescent markers (hexachlorocyclohexane [HEX], 6‐carboxyfluorescein [FAM], X‐rhodamine [ROX], and cyanine dyes 5 [CY5]) on the probes. Specific detection and mixed detection experiments were performed on four types of meat, realizing a limit of detection of 3 copies/µL. A mixture of four different species can be detected by four independent fluorescence channels. The quantitative capability of this method is found to meet the requirements of meat adulteration detections. This method has great potential for point‐of‐care testing together with portable microscopy equipment.
Spatio‐temporal downscaling emulator for regional climate models
Authors: Barboza Luis A. , Chou Chen Shu Wei , Alfaro Córdoba Marcela , Alfaro Eric J. , Hidalgo Hugo G. 
Published: June 2023

AbstractRegional climate models (RCM) describe the mesoscale global atmospheric and oceanic dynamics and serve as dynamical downscaling models. In other words, RCMs use atmospheric and oceanic climate output from general circulation models (GCM) to develop a higher resolution climate output. They are computationally demanding and, depending on the application, require several orders of magnitude of compute time more than statistical climate downscaling. In this article, we describe how to use a spatio‐temporal statistical model with varying coefficients (VC), as a downscaling emulator for a RCM using VC. In order to estimate the proposed model, two options are compared: INLA, and varycoef. We set up a simulation to compare the performance of both methods for building a statistical downscaling emulator for RCM, and then show that the emulator works properly for NARCCAP data. The results show that the model is able to estimate non‐stationary marginal effects, which means that the downscaling output can vary over space. Furthermore, the model has flexibility to estimate the mean of any variable in space and time, and has good prediction results. INLA was the fastest method for all the cases, and the approximation with best accuracy to estimate the different parameters from the model and the posterior distribution of the response variable.
Unspanned macro risks in VIX futures
Authors: Yang Xinglin 
Published: June 2023

AbstractThis study investigates hidden factors in the volatility index (VIX) futures market. Risk factors spanned by the futures curve have a limited ability to capture variations in the expected excess returns. The market's hidden factors provide additional predictive power for future returns in addition to that provided by the factors spanned by the futures curve. The use of a dynamic term structure model with these hidden factors indicates that the hidden factors as a proxy for macro risks materially impact the VIX futures returns and their yield term structure and are significantly helpful in depicting the dynamics of the risk premia.
Identifying the impact of health insurance on subgroups with changing rates of diagnosis
Authors: Kaliski Daniel 
Published: June 2023

AbstractExpanded access to health care often leads to new diagnoses for previously undetected conditions. New diagnoses make it difficult to identify the causal effect of expanding health insurance on individuals with particular diagnoses: the newly diagnosed in the treatment group are likely to differ in unobserved ways from the control group. This paper provides two methods for dealing with this problem depending on the data available to the researcher and diagnosis‐specific knowledge. If there is no panel dimension to the data, then the causal effect for the subgroup of interest can be bounded from either above or below depending on the condition in question. If panel data are available, then the newly diagnosed can be identified, and their treated outcomes subtracted from the overall effect of interest. I apply these methods to find that the difference‐in‐discontinuities estimator underestimates the effect of Medicare prescription drug coverage on the uptake of insulin by first‐time users by 20%.
Survival analysis of a comprehensive treatment strategy for internal carotid artery blowout syndrome by nasopharyngeal carcinoma
Authors: Zhao Zhouyang , Liao Qinming , Yang Yimei , Ma Yue , Lu Xiaomeng , Qiu Qianhui , Han Fei , Huang Lijin 
Published: June 2023

AbstractObjectiveTo retrospectively analyze the comprehensive treatment strategy for internal carotid artery blowout syndrome (CBS) by nasopharyngeal carcinoma (NPC).MethodsOf the 311 patients of NPC with carotid artery blowout syndrome admitted at our center from April 2018 to August 2022, 288 were enrolled.ResultsThe patients were divided into two groups: treatment group (266 cases) and control group (22 cases). After comprehensive treatment, the survival rate of the treatment group was significantly higher than that of the control group, especially within 6 months to the 1 year. Preventive intervention for CBS I type may have considerable benefits. And in the long run, this treatment strategy did not significantly increase the incidence of stroke in the treatment group.ConclusionThe comprehensive treatment strategy for ICA‐CBS of patients with NPC significantly reduced the mortality of asphyxia due to epistaxis, reduced the incidence of CBS during nasal endoscopy, and finally improved survival rate.
Liraglutide ameliorates hepatic steatosis via retinoic acid receptor‐related orphan receptor α‐mediated autophagy pathway
Authors: Yu Xiaoqian , Bian Xiaoqi , Zhang Hongmei , Yang Shanshan , Cui Daxin , Su Zhiguang 
Published: June 2023

AbstractLiraglutide, an analog of human glucagon‐like peptide‐1 (GLP‐1), has been found to improve hepatic steatosis in clinical practice. However, the underlying mechanism remains to be fully defined. Increasing evidence suggests that retinoic acid receptor‐related orphan receptor α (RORα) is involved in hepatic lipid accumulation. In the current study, we investigated whether the ameliorating impact of liraglutide on lipid‐induced hepatic steatosis is dependent on RORα activity and examined the underlying mechanisms. Cre‐loxP‐mediated, liver‐specific Rorα knockout (Rora LKO) mice, and littermate controls with a Roraloxp/loxp genotype were established. The effects of liraglutide on lipid accumulation were evaluated in mice challenged with a high‐fat diet (HFD) for 12 weeks. Moreover, mouse AML12 hepatocytes expressing small interfering RNA (siRNA) of Rora were exposed to palmitic acid to explore the pharmacological mechanism of liraglutide. The results showed that liraglutide treatment significantly alleviated HFD‐induced liver steatosis, marked by reduced liver weight and triglyceride accumulation, improved glucose tolerance and serum levels of lipid profiles and aminotransferase. Consistently, liraglutide also ameliorated lipid deposits in a steatotic hepatocyte model in vitro. In addition, liraglutide treatment reversed the HFD‐induced downregulation of Rora expression and autophagic activity in mouse liver tissues. However, the beneficial effect of liraglutide on hepatic steatosis was not observed in Rora LKO mice. Mechanistically, the ablation of Rorα in hepatocytes diminished liraglutide‐induced autophagosome formation and the fusion of autophagosomes and lysosomes, resulting in weakened autophagic flux activation. Thus, our findings suggest that RORα is essential for the beneficial impact of liraglutide on lipid deposition in hepatocytes and regulates autophagic activity in the underlying mechanism.
Mechanisms of cell death induced by hexabromocyclododecane (HBCD) involves apoptosis, autophagy, and ER stress
Authors: Mohammed Noor A. , Lewis Kirstie , Hodges Nikolas , Michelangeli Francesco 
Published: June 2023

AbstractHexabromocyclododecane (HBCD), was a widely utilized brominated flame retardant, commonly found in a wide range of household products. The pervasiveness of HBCD has identified the presence of this chemical in foods and in human tissues. Therefore, HBCD has been identified as a chemical of concern. The aim was to investigate the degree of cytotoxicity of HBCD in a range of cell lines derived from different tissues, (including hematopoietic, nerve, liver, and kidney‐derived cells) with a view of determining any differential cell type effects. In addition, this study also investigated the mechanism(s) by which HBCD could cause cell death. The results showed that HCBD was considerably more toxic to leukocyte‐derived (RBL2H3) and neuronal‐derived (SHSY‐5Y) cells with LC50 values of 1.5 and 6.1 µM, respectively, compared to cells derived from liver (HepG2) and kidney (Cos‐7), which had LC50 values of 28.5 and 17.5 µM, respectively. A detailed investigation of the mechanism(s) of cell death showed that HBCD caused, at least in part, Ca2+‐dependent cell death, caspase‐activated apoptosis, and autophagy, but there was little evidence for either necrosis or necroptosis occurring. Furthermore, it was shown that HBCD can also induce the ER stress response which is a known trigger of both apoptosis and autophagy and therefore this could be one of the crucial events by which cell death is initiated. As each of these cell death mechanisms was investigated in at least two different cell lines and no differences were identified, it is likely that the mode of action is not cell‐type specific.
Evaluating training needs in clinical psychology doctoral programs
Authors: Yarrington Julia S. , Montgomery Catherine , Joyner Keanan J. , O'Connor Mary‐Frances , Wolitzky‐Taylor Kate 
Published: June 2023

AbstractObjectiveAdvances in clinical psychology must be accompanied by advances in training. This study assessed training content, quality, and needs during clinical psychology doctoral programs among current or past doctoral students.MethodsCurrent or past clinical psychology doctoral students (N = 343) completed an anonymous survey assessing training experiences and needs. A descriptive‐focused exploratory factor analysis (EFA) also examined whether common subgroups of academic interests emerged.ResultsMost participants reported that they sought training beyond required coursework, primarily in clinical training, cultural competency, and professional development, and reported having taken one or more unhelpful course, including discipline‐specific knowledge requirements. Descriptive results from the EFA demonstrated common training areas of interest: diversity topics, biological sciences, clinical practice, and research methods.DiscussionThis study demonstrates that trainees and early career psychologists are aware of their nuanced and in some cases, unmet training needs.ConclusionThis work foregrounds the need to adapt extant training opportunities to support the next generation of clinical psychologists
A re‐introduction of the psychodynamic approach to the standard clinical psychology curriculum
Authors: Levendosky Alytia A. , Turchan Joshua E. , Luo Xiaochen , Good Evan 
Published: June 2023

AbstractObjectiveThere is a strong evidence‐base for a psychodynamic approach, supporting primary theoretical tenets as well as the treatment effectiveness. Additionally, there are increasing calls from the field for more individualized treatment for clients, and the lack of training in multiple orientations limits the ability of students in clinical psychology Ph.D. programs in the United States to personalize their treatments. The accumulated evidence‐base for contemporary relational psychodynamic theory and therapy places it in good standing to return to the standard clinical psychology curriculum, along with other evidence‐based approaches.MethodsWe use data from the Insider's Guide (which describes clinical Ph.D. programs in the United States) from three time points over 20 years to document the waning psychodynamic approach in clinical psychology programs. We review the scientific evidence for four primary tenets of a contemporary psychodynamic approach: three related to development—from healthy to psychopathological: (1) unconscious processes; (2) internal representations of self and other; (3) dimensional model of psychopathology, and a fourth tenet that builds on these three and is the foundation for a contemporary psychodynamic approach to psychotherapy: (4) therapeutic relationship as a primary mechanism of change.Results/ConclusionsBased on the review of the evidence, we make specific recommendations for clinical psychology training programs about how to include a psychodynamic approach in the curriculum.
Anxiety sensitivity and social support in veterans with emotional disorders
Authors: Pavlacic Jeffrey M. , Witcraft Sara M. , Allan Nicholas P. , Gros Daniel F. 
Published: June 2023

AbstractObjectiveAn understanding of the incremental value of social support in predicting psychopathology above transdiagnostic risk factors could speak to the benefit of leveraging social factors into existing, evidence‐based interventions in veterans with emotional disorders. This cross‐sectional study aimed to expand our understanding of associations between domains of anxiety sensitivity and facets of psychopathology in veterans with emotional disorders. We also determined whether social support predicted psychopathology above anxiety sensitivity domains and combat exposure and explored these relationships with a path model.MethodsOne hundred and fifty‐six treatment‐seeking veterans with emotional disorders completed diagnostic interviews and assessments of demographics, social support, symptom measures (e.g., PTSD, depression, anxiety, and stress), and transdiagnostic risk factors (i.e., anxiety sensitivity). After data screening, 150 were included in regressions.ResultsUsing regression analyses with cross‐sectional data, cognitive anxiety sensitivity concerns predicted PTSD and depression above combat exposure. Cognitive and physical concerns predicted anxiety, and cognitive and social concerns predicted stress. Above combat exposure and anxiety sensitivity, social support predicted PTSD and depression.ConclusionFocusing on social support in tandem with transdiagnostic mechanisms in clinical samples is critical. These findings inform transdiagnostic interventions and recommendations related to incorporation of assessment of transdiagnostic factors in clinical contexts.
Toward an optimized assessment of adolescent psychopathology risk: Multilevel environmental profiles and child irritability as predictors
Authors: Yu Qiongru , Hernandez Brianna , Swineford Conner , Walker Nia , MacNeill Leigha , Zhang Yudong , Wakschlag Lauren S. , Wiggins Jillian L. 
Published: June 2023

AbstractBackgroundAdolescence is a developmental period during which youth experience vulnerability to psychopathology. To build the foundation for a parsimonious psychopathology risk calculator while capturing the complexity and dynamic nature of the environment, the current study aimed to identify distinct risk and resilience profiles with a wide range of environmental factors guided by Bronfenbrenner's biopsychosocial ecological system theory. The association between the early‐mid childhood risk profiles and psychopathology in adolescence were examined. Moreover, the predictive utility of early childhood irritability was evaluated in addition to the risk profiles.MethodsThe data from Future of Families and Child Wellbeing Study a nation‐wide longitudinal study, were used in the latent profile analyses to identify the risk profiles with family, school, and neighborhood characteristics from 3 to 9 years old. To capture the socio‐environmental and cultural nuances, we extracted three subsamples, including Black/African American (n = 2587), Hispanic/Latinx (n = 1577), and White (n = 776) for separate analyses. Risk profile memberships were used to predict adolescence psychopathology, including depression, anxiety, attention deficits, oppositional defiant disorder, and conduct disorder symptoms. The predictive utility of early childhood irritability above and beyond environmental risk profiles was evaluated using stepwise regression.ResultsThree risk profiles were identified in the Hispanic/Latinx and Black/African American subsamples, while four profiles were identified in White subsample. Almost all risk profile membership predicted both internalizing and externalizing psychopathology, while some profiles are predictive of externalizing symptoms only. Higher level of irritability predicted higher symptomatology in all five mental health outcomes above and beyond the environmental profiles.ConclusionsDistinct risk and resilience profiles primarily driven by parent and family characteristics were identified for all three major race/ethnicity groups. Our findings lay the foundation for a more efficient multi‐tiered information gathering process in mental health clinical settings to aid the decision making for intervention and prevention.