bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data
Authors: Mallik Saurav , Seth Soumita , Si Amalendu , Bhadra Tapas , Zhao Zhongming 
Published: July 2023

Introduction: Association rule mining (ARM) is a powerful tool for exploring the informative relationships among multiple items (genes) in any dataset. The main problem of ARM is that it generates many rules containing different rule-informative values, which becomes a challenge for the user to choose the effective rules. In addition, few works have been performed on the integration of multiple biological datasets and variable cutoff values in ARM.Methods: To solve all these problems, in this article, we developed a novel framework MOOVARM (multi-objective optimized variable cutoff-based association rule mining) for multi-omics profiles.Results: In this regard, we identified the positive ideal solution (PIS), which maximized the profit and minimized the loss, and negative ideal solution (NIS), which minimized the profit and maximized the loss for all gene sets (item sets), belonging to each extracted rule. Thereafter, we computed the distance (d +) from PIS and distance (d −) from NIS for each gene set or product. These two distances played an important role in determining the optimized associations among various pairs of genes in the multi-omics dataset. We then globally estimated the relative closeness to PIS for ranking the gene sets. When the relative closeness score of the rule is greater than or equal to the pre-defined threshold value, the rule can be considered a final resultant rule. Moreover, MOOVARM evaluated the relative score of the rule based on the status of all genes instead of individual genes.Conclusions:MOOVARM produced the final rank of the extracted (multi-objective optimized) rules of correlated genes which had better disease classification than the state-of-the-art algorithms on gene signature identification.
A novel model for predicting intravenous immunoglobulin-resistance in Kawasaki disease: a large cohort study
Authors: Wang Shuhui , Ding Chuxin , Zhang Qiyue , Hou Miao , Chen Ye , Huang Hongbiao , Qian Guanghui , Yang Daoping , Tang Changqing , Zheng Yiming , Huang Li , Xu Lei , Zhang Jiaying , Gao Yang , Zhuo Wenyu , Zeng Bihe , Lv Haitao 
Published: July 2023

BackgroundPredicting intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) can aid early treatment and prevent coronary artery lesions. A clinically consistent predictive model was developed for IVIG resistance in KD.MethodsIn this retrospective cohort study of children diagnosed with KD from January 1, 2016 to December 31, 2021, a scoring system was constructed. A prospective model validation was performed using the dataset of children with KD diagnosed from January 1 to June 2022. The least absolute shrinkage and selection operator (LASSO) regression analysis optimally selected baseline variables. Multivariate logistic regression incorporated predictors from the LASSO regression analysis to construct the model. Using selected variables, a nomogram was developed. The calibration plot, area under the receiver operating characteristic curve (AUC), and clinical impact curve (CIC) were used to evaluate model performance.ResultsOf 1975, 1,259 children (1,177 IVIG-sensitive and 82 IVIG-resistant KD) were included in the training set. Lymphocyte percentage; C-reactive protein/albumin ratio (CAR); and aspartate aminotransferase, sodium, and total bilirubin levels, were risk factors for IVIG resistance. The training set AUC was 0.825 (sensitivity, 0.723; specificity, 0.744). CIC indicated good clinical application of the nomogram.ConclusionThe nomogram can well predict IVIG resistance in KD. CAR was an important marker in predicting IVIG resistance in Kawasaki disease.
Meet Up Buddy Up: effective strategies to promote 4th grade students' intergroup prosocial behavior
Authors: Xiao Sonya Xinyue , Ren Haining , Hanish Laura D. , Miller Cindy Faith , Martin Carol Lynn , Fabes Richard A. 
Published: July 2023

IntroductionGiven the changing demographics in the U.S., it has become increasingly important to promote prosocial behavior toward those dissimilar from oneself. This research is the first to examine the degree to which children's group-based prosocial behavior, specifically, prosocial behavior directed to other-gender peers, can be promoted through simple classroom-based intervention strategies.MethodsUsing a randomized controlled trial (RCT) pre- and post-design with 346 4th graders from four schools in the Southwest U.S. over 1 academic year, we examined the effect of simultaneously implementing two strategies for promoting relationships among diverse peers, Meet Up and Buddy Up (MUBU). MU involved promoting group/classroom level peer interactions whereas BU focused on dyadic peer interactions.Results and discussionPath analysis yielded support for our hypothesis that MUBU effectively increased children's other-gender prosociality above and beyond baseline prosociality. The finding speaks to the utility of relationship-building for enhancing children's intergroup prosocial behavior. We discussed implications for research and educational practices.
The nature of teacher anxiety in English-medium tertiary education in Saudi Arabia
Authors: Alruwaili Shatha 
Published: July 2023

IntroductionWhile student anxiety, and factors affecting it, have been quite widely studied, this is less true of teacher anxiety, especially at tertiary level. Furthermore, inventories for the measurement of teacher anxiety seem more disparate and less standardized than those for student anxiety. These considerations prompted the present study which aimed to reveal just how anxious tertiary level teachers really are, and what factors, both demographic and situational, are associated with their anxiety, in a relatively neglected non-Western context.MethodA comprehensive questionnaire, was employed, combining items from a number of rather different previous teacher anxiety questionnaires, and applied to 88 university teachers at a Saudi university post COVID.ResultsAlthough anxiety was judged to have increased due to COVID, it still remained below the midpoint of the scale in absolute terms. While age and level of academic qualification were negatively related to overall teaching anxiety, experience, training, gender, and reported general trait anxiety were not. Notably features of the students (e.g., low ability or home difficulties) and of the administration (e.g., imposing high workload and unsuitable class sizes) generated relatively stronger anxiety compared with features in the hands of the teachers themselves (e.g., speaking in front of a class or answering student questions).DiscussionThe results suggest teachers’ emotional resilience after COVID, and chime with other published work in indicating a level of anxiety slightly below the scale midpoint as being the norm, and altruistic worry about students as a major cause of teacher anxiety.
Making mathematics together by modeling shared experiences
Authors: Brady Corey 
Published: July 2023

IntroductionThis article illustrates a pedagogical approach to integrating models and modeling in Geometry with mathematics teacher-learners (MTLs). It analyzes the work of MTLs in a course titled “Computers, Teaching, and Mathematical Visualization” (or “MathViz”), which is designed to engage MTLs in making mathematics together. They use a range of both physical and virtual models of 2-manifolds to formulate and investigate geometric conjectures of their own.ObjectivesThe article articulates the theoretical basis and design rationale of MathViz; it analyzes illustrative examples of the discourse produced in collaborative investigations; and it describes the impact of this approach in the students’ own voices.MethodsMathViz has been iteratively refined and researched over the past 6 years. This study focuses on one iteration, aiming to capture the phenomenological experience of the MTLs as they structured and pursued their own mathematical investigations. Video data from two class sessions of the Fall 2021 iteration of the course are analyzed to illustrate the discourse of collaborating students and the nature of their shared inquiry. Excerpts from this class’s Learning Journals are then analyzed to capture themes across students’ experience of the course and their perspectives on its impact.ResultsAnalysis of students’ discourse (while investigating cones) shows how they used models and gesture to make sense of geometric phenomena; forged connections with investigations they had conducted throughout the course on different surfaces; and articulated and proved mathematical conjectures of their own. Analysis of students’ Learning Journals illustrates how experiences in MathViz contributed to their conceptualization of making mathematics together, using a variety of models and technologies, and developing a set of practices that that they could introduce with their future students.DiscussionAn argument is made that this approach to collective mathematical investigation is not only viable and valuable for MTLs, but is also relevant to philosophical reflections about the nature of mathematical knowledge-creation.
Supplementation with spinach-derived thylakoid augments the benefits of high intensity training on adipokines, insulin resistance and lipid profiles in males with obesity
Authors: Saeidi Ayoub , Saei Mohammad Amin , Mohammadi Behnam , Zarei Hamid Reza Akbarzadeh , Vafaei Morvarid , Mohammadi Amir Shayan , Barati Masoumeh , Montazer Mona , Razi Omid , Kiyumi Maisa Hamed Al , Laher Ismail , Gholami Mandana , Weiss Katja , Knechtle Beat , Zouhal Hassane 
Published: July 2023

IntroductionThis study investigated the effects of 12 weeks of high-intensity functional training (HIFT) combined with spinach-derived thylakoid supplementation on some selected Adipokines and insulin resistance in males with obesity.MethodSixty-eight participants (mean age: 27.6 ± 8.4 yrs.; mean height: 168.4 ± 2.6 cm; mean weight: 95.7 ± 3.8 kg, mean BMI: 32.6 ± 2.6 kg/m2) were randomly divided into four groups of 17 per group: Control group (CG), Supplement group (SG), Training group (TG), and Training + supplement group (TSG). Following baseline measurements, the two training groups (TG and TSG) started the 12 weeks of exercise training program (3 sessions per week). A total of 36 sessions lasting up to 60 min were included in the HIFT program using the CrossFit program. The eligible participants received 5 g/day of thylakoid-rich spinach extract or matching placebo as 5 g/day of raw corn starch (one sachet, 30 min before lunch) for 12 weeks. Baseline assessments were obtained 48 hours before the start of the training protocols and 48 hours after the last training session in all groups.ResultsThere were significant interactions (p&lt;0.001 for all) between exercise and time for adiponectin (ES:0.48), leptin (ES:0.46), resistin (ES:0.3), omentin (ES:0.65), vaspin (ES:0.46), visfatin (ES:0.62), apelin (ES:0.42), RBP4 (ES:0.63), chemrin (0.36) and semaphorin3c (ES: 0.5). Plasma levels of semaphorin3c were significantly correlated (p&lt;0.05) with body weight (r= 0.57), BMI (r= 0.43), FFM (r= -0.612), FAT (r= 0.768), VO2peak (r=-0.53), insulin (r= 0.756), glucose (r= 0.623), and HOMA-IR (r= 0.727). There were also significant group differences in insulin (ES: 0.77), glucose (ES: 0.21), and HOM-IR (ES: 0.44) (p&lt;0.05).DiscussionOur findings indicate that 12 weeks of HIFT supplemented with spinach-derived thylakoid reduced levels of leptin, resistin, vaspin, visfatin, apelin, RBP4, chemrin, semaphorin3c and insulin resistance while increasing adiponectin and omentin levels in men with obesity.
The association between serum adipokines levels with senile osteoporosis: a systematic review and meta-analysis
Authors: Wang Jiangna , Liu Shiwei , Zhao Yuxiang , Naqvi Syed Shah Zaman Haider , Duan Ruixue 
Published: July 2023

ObjectiveThe clinical correlation between adipokines levels in the blood and the incidence of senile osteoporosis (SOP) has not been clearly studied. We conducted this meta-analysis to elucidate the relationship between three common adipokines levels (leptin, adiponectin, and chemerin) and the incidence of SOP.MethodsWe searched databases such as CNKI, CBM, VIP, Wanfang, PubMed, Web of Science, Embase, and the Cochrane Library to collect articles published since the establishment of the database until July 30, 2022.ResultsIn total, 11 studies met the selection criteria. Our meta-analysis showed that serum leptin levels were significantly lower (mean difference [MD], -2.53, 95% CI: -3.96 to -1.10, I2 = 96%), chemerin levels were significantly higher (MD, 30.06, 95% CI: 16.71 to 43.40, I2 = 94%), and adiponectin levels were not significantly different (MD, -0.55, 95% CI: -2.26 to 1.17, P = 0.53, I2 = 98%) in SOP patients compared with healthy older individuals with normal bone mineral density (BMD). In addition, correlation analysis showed that leptin levels were positively correlated with lumbar bone mineral density (LBMD) (r = 0.36) and femoral bone mineral density (FBMD) (r = 0.38), chemerin levels were negatively correlated with LBMD (r = -0.55) and FBMD (r = -0.48), and there were significant positive correlations between leptin and adiponectin levels and body mass index (BMI) (r = 0.91 and 0.97).ConclusionsThe likelihood of having SOP was higher in older individuals with low levels of leptin and higher levels of chemerin. In addition, BMI was somewhat lower with low levels of leptin and adiponectin.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42022356469.
Cost-effectiveness of opportunistic QCT-based osteoporosis screening for the prediction of incident vertebral fractures
Authors: Rühling Sebastian , Schwarting Julian , Froelich Matthias F. , Löffler Maximilian T. , Bodden Jannis , Hernandez Petzsche Moritz R. , Baum Thomas , Wostrack Maria , Aftahy A. Kaywan , Seifert-Klauss Vanadin , Sollmann Nico , Zimmer Claus , Kirschke Jan S. , Tollens Fabian 
Published: July 2023

ObjectivesOpportunistic quantitative computed tomography (oQCT) derived from non-dedicated routine CT has demonstrated high accuracy in diagnosing osteoporosis and predicting incident vertebral fractures (VFs). We aimed to investigate the cost-effectiveness of oQCT screening compared to dual-energy X-ray absorptiometry (DXA) as the standard of care for osteoporosis screening.MethodsThree screening strategies (“no osteoporosis screening”, “oQCT screening”, and “DXA screening”) after routine CT were simulated in a state-transition model for hypothetical cohorts of 1,000 patients (women and men aged 65 years) over a follow-up period of 5 years (base case). The primary outcomes were the cumulative costs and the quality-adjusted life years (QALYs) estimated from a U.S. health care perspective for the year 2022. Cost-effectiveness was assessed based on a willingness-to-pay (WTP) threshold of $70,249 per QALY. The secondary outcome was the number of prevented VFs. Deterministic and probabilistic sensitivity analyses were conducted to test the models’ robustness.ResultsCompared to DXA screening, oQCT screening increased QALYs in both sexes (additional 2.40 per 1,000 women and 1.44 per 1,000 men) and resulted in total costs of $3,199,016 and $950,359 vs. $3,262,934 and $933,077 for women and men, respectively. As a secondary outcome, oQCT screening prevented 2.6 and 2.0 additional VFs per 1,000 women and men, respectively. In the probabilistic sensitivity analysis, oQCT screening remained cost-effective in 88.3% (women) and 90.0% (men) of iterations.ConclusionoQCT screening is a cost-effective ancillary approach for osteoporosis screening and has the potential to prevent a substantial number of VFs if considered in daily clinical practice.
Two is better than one: innovative ants overcome the nature-inspired cognitive challenge of pupal insertion
Authors: Pathak Manish Kumar , Halder Subhashis , Mukhopadhyay Snigdha , Annagiri Sumana 
Published: July 2023

IntroductionThe cognitive abilities of animals play a crucial role in their capacity to adapt to changing environments. Experiments to understand cognition are usually performed on animals such as non-human primates, canids, or corvids. These studies often use food as the motivating factor. However, in the current study, we used a new paradigm to investigate the ability of ponerine ants, who are solitary foragers, to solve a nature-inspired problem. As pupae are the most invested brood item and are directly associated with the colony’s fitness, we designed an experiment that presented a challenge to colony relocation by imposing restrictions on the transportation of pupae to the new nest.MethodsWe used a narrow nest entrance through which an adult could enter, but it rendered the passage of an adult holding a pupa virtually impossible. Through this, we examined the capacity of these ants to overcome the “pupal insertion” challenge by investigating eight colonies involving 425 pupal insertions performed by 104 uniquely labeled ants. ResultsWe found that 80% of all pupae were inserted into the nest by employing a novel cooperative behavior: one ant pushed the pupa while the other ant(s) inside the nest pulled it. Even though individual ants showed high variability in their performance regarding pupal insertion, the initial three successive insertions showed a significant improvement in their performance. Such improvement was also documented at the colony level, with shorter durations and fewer attempts for subsequent pupal insertions. DiscussionOur study demonstrated that ants can overcome difficult environmental challenges through innovation and subsequently improve their performance without training or reward.
Mapping of the Cladosporium fulvum resistance gene Cf-16, a major gene involved in leaf mold disease in tomato
Authors: Zhang Dongye , Li Huijia , Liu Guan , Xie Libo , Feng Guojun , Xu Xiangyang 
Published: July 2023

Tomato (Solanum lycopersicum) is widely cultivated and consumed worldwide. Tomato leaf mold, caused by Cladosporium fulvum, is one of the most devastating diseases in tomato production. At present, some tomato leaf mold resistance (Cf series) genes used in production gradually lose resistance due to the continuous and rapid differentiation of C. fulvum physiological races. The Cf-16 gene derived from the “Ontario7816” tomato cultivar has shown effective resistance in field trials for many years, but few studies have reported on the mapping of the Cf-16 gene, which has not been cloned, limiting its utilization in tomato breeding. Here, we mapped Cf-16 using a novel comprehensive strategy including bulk segregation analysis (BSA), genome resequencing and SSR molecular markers. A genetic analysis revealed that Cf-16 resistance in “Ontario7816” is controlled by one major dominant locus. The Cf-16 gene was mapped in a region of 2.6 cM at chromosome 6 between two markers, namely, TGS447 and TES312, by using an F2 population from a cross between the resistant cultivar “Ontario7816” and susceptible line “Moneymaker.” Two nucleotide-binding-site-leucine-rich repeat (NBS-LRR) resistance genes, namely, XM_004240667.3 and XM_010323727.1, were identified in this interval. They are strong candidates for the Cf-16 gene. The mapping of Cf-16 may speed up its utilization for breeding resistant tomato varieties and represents an important step forward in our understanding of the mechanism underlying resistance to tomato leaf mold.
Pregnant women's knowledge of birth defects and their associated factors among antenatal care attendees in referral hospitals of Amhara regional state, Ethiopia, in 2019
Authors: Ferede Addisu Andualem , Kassie Belayneh Ayanaw , Mosu Kiber Temesgen , Getahun Worku Taye , Taye Birhan Tsegaw , Desta Melaku , Fetene Mamaru Getie 
Published: July 2023

BackgroundBirth defects (BDs) are structural, behavioral, functional, and metabolic disorders present at birth. Due to lack of knowledge, families and communities stigmatized pregnant women following the birth of a child with birth defects. In Ethiopia, there was limited evidence to assess the level of knowledge among pregnant women despite increasing magnitude of birth defects.ObjectivesThis study aims to assess pregnant women's knowledge of birth defects and its associated factors among antenatal care (ANC) attendees in referral hospitals of Amhara regional state in 2019.Materials and methodsBetween 1 June and 30 June 2019, 636 pregnant women receiving prenatal care participated in an institution-based cross-sectional study. The approach for sampling was multistage. A semi-structured pretested interviewer-administered questionnaire was used to collect data. Data were entered in EpiData version 4.6 and analyzed using SPSS version 25 software. A bivariable and multivariable logistic regression model was used. Odds ratio with 95% confidence interval andp-value of ≤0.05 declared statistical significance association.ResultsA total of 636 pregnant women were included in the analysis. Accordingly, pregnant women's knowledge of birth defects was found to be 49.2% (95% CI: 45.4–53.1). Age group of &lt;25 years (AOR = 0.16, 95% CI: 0.04–0.61), urban residence (AOR = 6.06, 95% CI: 2.17–16.94), ANC booked before 20 weeks of gestational age (AOR = 3.42, 95% CI: 1.37–8.54), and ever heard on birth defects (AOR = 5.00, 95% CI: 1.87–13.43) were significantly associated factors with pregnant women's knowledge of birth defects.ConclusionsApproximately half of the pregnant mothers were aware of birth defects. Addressing pre-pregnancy and pregnancy health information and education particularly on the prevention of birth defects is recommended.