bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of risk factors for cardiovascular disease among pregnant women in San Juan, Puerto Rico.
Authors: Cepero Andrea Alexandra Lopez , Cameron Stephanie , González Mariana , Sierra Deborah Santos , Inostroza-Nieves Yaritza 
Published: March 2023

Abstract
Background: In Puerto Rico (PR), the prevalence of risk factors for cardiovascular disease (CVDRF) in women is high. CVDRF during pregnancy are a threat to maternal and child health. Little is known about CVDRF among pregnant women in PR.
Methods: Cross-sectional study using data from pregnancy charts (n=264; no prior pregnancies) from an outpatient clinic in PR. CVDRF included: pre-pregnancy obesity, type 2 diabetes (T2D), and hypertension, and gestational diabetes and hypertension. Age was categorized as: 21-25y, 26-30y, and 31-35y. Analyses included adjusted logistic and multinomial regressions.
Results: Obesity pre-pregnancy was the most prevalent CVDRF (23.5%). Women of 31-35y (vs. 21-25y) had higher odds of T2D/gestational diabetes (OR=4.66; 95% CI=1.18, 18.4) and were more likely to experience 2+ CVDRF (RRR=2.73; 95% CI=1.10, 6.80).
Discussion: Pregnant women in PR experienced CVDRF and these were more prevalent among women of older age. Studies are needed to confirm our findings and monitor the health of women at high risk of CVD during postpartum.
Social Desirability and Central Tendency Bias in the Survey and Variation of Life Satisfaction
Authors: Klement Johannes 
Published: March 2023

Abstract
Although life satisfaction is an empirically well-studied happiness concept, there are still
open questions regarding the variation in life satisfaction and the influence of variables
not included in data sets such as the German Socio-Economic Panel (SOEP). In this
article, I use data from the SOEP to examine the extent to which the variation in life
satisfaction is influenced by biases resulting from the design of the life satisfaction survey.
Using a variety of methodological approaches, including distributional analysis, descriptive
statistics, Markov transition probabilities and logistic regression, I examine the extent to
which possible biases due to central tendency or social desirability affect the variation in
life satisfaction. This leads me to the following conclusions:
1. People who are interviewed in the presence of an interviewer are more satisfied with
their lives than people who are interviewed in writing without an interviewer. This
suggests that people express themselves more positively about their well-being in
the presence of others.
2. On the 11-point life satisfaction scale, defined as a whole number between 0 and
10, respondents prefer to choose points 5 and 8, which are the mid-points of the
scale, and they choose them more often than other points. This is important for
adaptation research: it suggests that people prefer to report life satisfaction that
is balanced between good and bad, leaving room for improvement even in satisfied
states. Social desirability and central tendency bias have a stronger influence on
the variation of life satisfaction than many of the happiness correlates examined. In
terms of growth in life satisfaction, point 8 seems to be the maximum on average.
A higher value is implausible based on the results of the study.
SDSCF Tracker: An improved deep learning-based approach to execute target tracking
Authors: GAUTAM AAYUSHI , Singh Sukhwinder 
Published: March 2023

Abstract
SDSCF tracker is a novel tracking via detection-based framework developed to address the problem of background clutter and reduced ID switches caused during tracking process. The entire mechanism is divided in three stages namely: detection stage followed by segmentation and tracking. Initially, the input sequence is fed to the improved YOLO-Lite detector to extract the primary bounding boxes. After the detection has been performed, all the objects inside the frames undergo segmentation to eliminate the redundancy and background clutter. By integrating instance segmentation post-detection and prior to tracking, the computational parameters reduce drastically for each frame. Next, the correlation filter-based tracker along with DeepSort performs object tracking. DeepSort performs very well on the frames containing detections even through lengthier stages of occlusion however, fails in case of similar looking objects resulting in ID switches. Correlation filter-based tracker counters the problem and keeps the track of each target even if it remains undetected in detection stage. New IoU’s for bounding boxes tracked by correlation tracker and bounding boxes tracked by DeepSort are computed and based on new IoU obtained, decision is made weather the target ID from DeepSort or correlation tracker is to be considered thereby preventing ID switching. Experimental evaluation carried out on MOT15, MOT16 and MOT17 shows that the proposed framework reduces the amount of ID switches by almost 53 % achieving highest MOTA and MOTP of 69.6% and 84.7% respectively.
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Authors: Qiu Zhiguang , Lian Chun-Ang , Yuan Li , Lin Bin , Chen Jie , Mu Rong , Qiao Xuejiao , Zhang Liyu , Xu Zheng , Fan Lu , Zhang Yunzeng , Wang Shanquan , Li Junyi , Cao Huiluo , Li Bing , Liu Yong-Xin , Shi Lili , Tian Yonghong , Ni Jinren , zhang Tong , Zhou Jizhong , Zhuang Weiqin , Yu Ke 
Published: March 2023

Abstract
Metagenomic binning is an essential technique for genome-resolved characterization of uncultured microorganisms in various ecosystems but hampered by the low efficiency of binning tools in adequately recovering metagenome-assembled genomes (MAGs). Here, we introduce BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data. BASALT employs multiple binners with multiple thresholds to produce initial bins, then utilizes neural networks to identify core sequences to remove redundant bins and refine non-redundant bins. Using the same assemblies generated from Critical Assessment of Metagenome Interpretation (CAMI) datasets, BASALT produced up to twice as many MAGs as VAMB, DASTool, or metaWRAP. Processing assemblies from a lake sediment dataset, BASALT produced ~30% more MAGs than metaWRAP, including 21 unique class-level prokaryotic lineages. Functional annotations revealed that BASALT could retrieve 47.6% more non-redundant opening-reading frames than metaWRAP. These results highlighted the robust handling of metagenomic sequencing data of BASALT.
Finite element modeling and simulation of vacuum brazing processes with a focus on cycle-dependent component distortion
Authors: Tillmann Wolfgang , Henning Tim , Wojarski Lukas , Timmer Christian , Ontrup Finn 
Published: March 2023

Abstract
For the production of high-strength connections by brazing, it is very important to control component distortion and the gap size that depends on it. In particular, nickel-based filler metals will form brittle phases at larger gaps which extraordinarily reduce the joint strength. Thus, a model using fi nite element analysis was developed in Ansys Workbench to calculate the cycle-dependent component deformation of brazing assemblies during the joining process. At first, this cpaper describes the most important aspects to consider when simulating thermal radiation in a vacuum furnace from a constructive point of view. Furthermore, a new model strategy is shown which keeps the calculation times moderate by a clever choice of supports and boundary conditions. It could be shown that the component deformation during heating can be easily kept in the elastic range and can be almost completely eliminated by using a geometry-dependent soaking time. In contrast, high cooling rates were shown to result in thermally induced stresses well above the elastic yield limit, causing signifi cant component deformation. With further cooling, the deformation decreases signifi cantly, but it depends on the initial stress, the geometry and the cooling rate if the deformation can be completely leveled out during the shrinkage of the component. In addition, it was shown that the distortion of the component is highly aff ected by the local position in the heating chamber. As a result of the analyses, the simulation results were used to design a
fi xture for vertical positioning which signifi cantly reduced the distortion of the brazed component.
UV-A and UV-B combined with PAR intensity change in plant growth, total phenol, flavonoid, antioxidative and essential oil composition of Pelargonium graveolens
Authors: Jadidi Maryam , Mumivand Hasan , Nia Abdollah Ehtesham , Shayeganfar Alireza , Maggi Filippo 
Published: March 2023

Abstract

Background
Different wavelengths of solar radiation incident on earth [herein: Photosynthetically Active Radiation )PAR(,Ultra Violet-A )UV-A( and Ultra Violet-B (UV-B)] and their spectral balance not only have an impact on plants′ growth, morphology and physiology, but also have been shown to be important for the quality and quantity of secondary metabolites produced by plants.
Material and Methods
In this outdoor study we addressed the effects of PAR intensity and UV on the growth, yield, antioxidative, phenolic, flavonoids and essential oil production of Pelargonium graveolens L’Hér. The experiment was performed as split plots in a randomized complete block design with three replications. During the growth, two PAR intensities (ambient PAR and reduced PAR) and four UV treatments (ambient UV, enhanced UV-A, enhanced UV-B and enhanced UVA + B) were applied.
Results
High PAR intensity declined the length and width of leaf, the height of plant and fresh weight of aerial part, but increased dry weight of aerial part. Enhanced UV-B irradiation was associated with reduced plant height, leaf expansion and fresh and dry weight of aerial part. Interestingly, negative influence of enhanced UV-B radiation on morphology and growth of plant was largely alleviated by high PAR intensity. The amount of total phenols and flavonoids, antioxidant activity and essential oil production of P. graveolens strongly increased with both enhanced UV-B irradiation and high PAR. On the contrary, UV-A radiation did not significantly influence total phenols, flavonoids, antioxidant activity and essential oil. Moreover, the combination of high PAR intensity and enhanced UV-B led to further increases in total flavonoid content and the antioxidant capacity. Both high PAR intensity and enhanced UV-B increased the percentage of geraniol in essential oil, leading to a slight reduction of C/G ratio.
Conclusions
Considering that the lower C/G ratio is the most important indicator of the high economic value of rose geranium essential oil, reducing C/G ratio under enhanced UV-B radiation and/or high PAR is likely to be favorable. Overall, we conclude that PAR and UV-B irradiation, as two important environmental factors, have positive effects on the quality and quantity of rose geranium secondary metabolites.
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Authors: Chen Wei , Comlek Yigitcan , Pham Thang , Snurr Randall 
Published: March 2023

Abstract
Data-driven materials design often encounters challenges where systems require or possess qualitative (categorical) information. Metal-organic frameworks (MOFs) are an example of such material systems. The representation of MOFs through different building blocks makes it a challenge for designers to incorporate qualitative information into design optimization. Furthermore, the large number of potential building blocks leads to a combinatorial challenge, with millions of possible MOFs that could be explored through time consuming physics-based approaches. In this work, we integrated Latent Variable Gaussian Process (LVGP) and Multi-Objective Batch-Bayesian Optimization (MOBBO) to identify top-performing MOFs adaptively, autonomously, and efficiently without any human intervention. Our approach provides three main advantages: (i) no specific physical descriptors are required and only building blocks that construct the MOFs are used in global optimization through qualitative representations, (ii) the method is application and property independent, and (iii) the latent variable approach provides an interpretable model of qualitative building blocks with physical justification. To demonstrate the effectiveness of our method, we considered a design space with more than 47,000 MOF candidates. By searching only ~ 1% of the design space, LVGP-MOBBO was able to identify all MOFs on the Pareto front and more than 97% of the 50 top-performing designs for the CO2 working capacity and CO2/N2 selectivity properties. Finally, we compared our approach with the Random Forest algorithm and demonstrated its efficiency, interpretability, and robustness.
Application of adaptive moving object detection and edge calculation in Police Physical Education Training app course
Authors: Zhen Lifang 
Published: March 2023

Abstract
Nowadays, the theoretical knowledge and computer skills of digital signal processing are increasing year by year, the mode of combining moving target detection industry and edge computing gradually occupies an important position in the research process of processing and pattern recognition in various application fields. For moving target detection and edge algorithm, this paper proposes a technical method based on Gaussian mixture background model and filtering, which combines moving target detection and edge calculation. This method changes the learning rate mechanism of the traditional weight in the background model updating, so that the background model can be continuously effective. Then the motion information and centroid position information of the detected moving target are taken as the initial input data of the filter, so that the filter can start tracking the target. Finally, by analyzing and understanding the development history of Chinese police sports, analyzing the current situation of police sports teaching and training in Chinese public security colleges, we find the problems existing in police sports teaching and training in public security colleges, and use target detection and edge algorithm. Carry out actual calculation in the police sports teaching app, adjust the curriculum objective system of police sports teaching, update the teaching content, reform the teaching methods, reposition the police sports teaching curriculum, build a high-quality teaching team, fully improve the theoretical system of police sports quality education in public security colleges, and cultivate a large number of compound and applied public security talents with strong comprehensive quality and ability.
Biochar supported nanoscale zero-valent iron for the kinetics removal and mechanism of decabromodiphenyl ethane in the sediment
Authors: Lu Cong , Zhao Xuan , Qiao Zhihua , Luo Kailun , Zhou Shanqi , Fu Mengru , Peng Cheng , Zhang Wei 
Published: March 2023

Abstract
The extensive applications of decabromodiphenyl ethane (DBDPE), a novel brominated flame retardant, have induced its accumulation in sediment, which may have a great negative impact on the ecological environment. In this work, the biochar/nano-zero-valent iron materials (BC/nZVI) was synthesized to remove DBDPE in the sediment. Batch experiments were carried out to investigate the influencing factors of the removal efficiency, and kinetic model simulation and thermodynamic parameter calculation were performed. The degradation products and mechanisms were probed. The results indicated that the addition of 0.10 g·g− 1 BC/nZVI to the sediment with an initial concentration of 10 mg·kg− 1 DBDPE could remove 43.73% of DBDPE during 24 h. The water content of the sediment was a critical factor in the removal of DBDPE, which was optimal at 1:2 of sediment to water. The removal efficiency and reaction rate were enhanced by increasing dosage, water content, and reaction temperature or decreasing initial concentration of DBDPE based on the fitting results of the quasi-first-order kinetic model. Additionally, the calculated thermodynamic parameters suggested that the removal process was a spontaneously and reversibly endothermic reaction. The degradation products were further determined by GC-MS, and the mechanisms were presumed that DBDPE was debrominated to produce octabromodiphenyl ethane (octa-BDPE). This study provides a potential remediation method for highly DBDPE-contaminated sediment by using BC/nZVI.
Does Nebulized Unfractionated Heparin Cause changes in derived neutrophil to lymphocyte ratios in severe COVID-19 pneumonitis?
Authors: Thompson Cecily W. , Robinson Stacey-Ann M. , McIntosh Jevonne J. , Risden Jodian S. , White Dwayne R. , Morgan Keri S. , Beecher Tamara S. 
Published: March 2023

Abstract
Background: COVID-19 a multisystemic disorder caused by the SARS-CoV-2 virus with deleterious and often fatal effects on respiratory function. Many therapeutic but expensive options have been presented. Unfractionated heparin is widely available and has been shown to have antiviral properties in vitro (by inhibiting the interaction of the spike protein of the coronavirus with ACE2), as well as anti-inflammatory, mucolytic and anticoagulant effects.
Objective: To conduct a retrospective cohort study on COVID-19 patients admitted to an isolation ward in Jamaica to determine if nebulized unfractionated heparin delivered to patients with severe COVID-19 pneumonitis would influence the derived neutrophil to lymphocyte ratio (dNLR), a predictor of infection severity that was routinely measured.
Methods: Study participants were hospitalized with COVID-19 pneumonitis, confirmed by polymerase chain reaction, between August 4, 2021 and November 13, 2021 and managed by anaesthesiologists. All had SpO2 < 92% on room air at admission. Patients received a standard COVID-19 care management protocol, as per the national guidelines of Jamaica. Seventeen patients with median (range)age 53 (35-67) years received nebulized unfractionated heparin (the study group); and seventeen patients with median (range) age 53 (38-67) years were not given nebulized unfractionated heparin (the control group). Derived neutrophil to lymphocyte ratios were observed daily over a 15-day period and tabulated and charted using stacked line graphs and box plots to compare changes in the variable between the groups.
Results: The demographics and illness severity were comparable for the groups. Stacked line graphs of the dNLR in each group indicated a more rapid decline in the group treated with nebulized unfractionated heparin than in the control group. Univariate analysis using box plots of serial dNLR changes showed larger interquartile ranges, longer whiskers, higher means and medians in the control group than in the study group.
Conclusions: Participants treated with nebulized unfractionated heparin had a sharper decline in dNLR than patients who did not receive this therapy. There was a less varied, more predictable serial dNLR response in the study group than in the control group. Larger studies should explore the clinical implications of this finding.
Boron alleviates the aluminum toxicity in buckwheat by regulating antioxidant defense system and maintaining osmotic balance
Authors: Ge Jiahao , Wang Qi , Xu Xiaoying , Lei Xinhui , Tao Jincai , Gao Feng , Gao Xiaoli , Yang Pu , Gao Jin Feng 
Published: March 2023

Abstract
Aluminum (Al) pollution in acidic soils has become a serious environmental problem worldwide. Boron can help plants mitigate aluminum phytotoxicity in acidic soils, but its underlying mechanism in buckwheat remains completely unknown. In this study, the buckwheat germination and greenhouse pot experiments were carried out under the conditions of four Al concentrations (0, 5, 10, and 15 mM) and four boron concentrations (0, 10, 30, and 50 µM). This research aimed to investigate the mitigation effect of exogenous boron on the Al toxicity of buckwheat and reveal the mechanism from the aspects of growth characteristics, antioxidant enzyme system, and osmotic regulation. The results showed that boron supply reduced the accumulation of Al in buckwheat roots, increased the antioxidant enzyme activity and the content of osmotic adjustment substances in roots and leaves, reduced the Al damage to root and leaf cells, maintained the osmotic balance of the cells, improved the root activity and the content of leaf photosynthetic pigment, ultimately leading to a significant increase in buckwheat biomass. In conclusion, different levels of boron treatment increased the tolerance of buckwheat root and leave to Al toxicity, and had a promoting effect on the growth of buckwheat. Therefore, applying boron is a promising green remediation technique to improve crop tolerance in Al-contaminated acidic soil.
Significance of metastatic lymph nodes ratio in overall survival for patients with resected Non–Small-Cell Lung Cancer
Authors: Lin Xiaoping , Yao Jianfeng , Huang Baoshan , Chen Tebin , Huang Rongfu 
Published: March 2023

Abstract
Background: TNM stage is widely applied to classify lung cancer and the foundation of clinical decisions. However, increasing studies have pointed out that this staging system is not precise enough especially for the N status. In this study, we aim to build a convenient survival prediction model that incorporated the current items of lymph node status.
Methods: We collected data of resectable NSCLC(IA-IIIB) patients from Surveillance, Epidemiology, and End Results (SEER) database (2006-2015). X-tile program was applied to calculate the optimal threshold of metastatic lymph nodes ratio (MLNR). Then, independent prognostic factors were determined by multivariable cox regression analysis and enrolled to build a nomogram model. The calibration curve as well as the concordance index(C-index ) were selected to evaluate the nomogram. Finally, patients were grouped based on their specified risk points and divided into three risk levels. The prognostic value of MLNR and examined lymph nodes number (ELNs) were presented in subgroups.
Results: 40853 NSCLC patients after surgery were finally enrolled and analyzed. Age, metastatic lymph nodes ratio, histology type, adjuvant treatment, and AJCC 8th T stage were deemed as independent prognostic parameters after multivariable cox regression analysis. Nomogram was built using those variables and its efficiency in predicting patients’ survival was better than the conventional AJCC stage system after evaluation. Our new model has a significant higher concordance index(C-index) (training set,0.683 v 0.641, respectively; P<0.01; testing set, 0.676 v 0.638, respectively; p<0.05). Similarly, the calibration curve shows the nomogram was in better accordance with the actual observation in both cohorts. And then, after risk stratification, we found MLNR is more reliable than ELNs in predicting overall survival(OS).
Conclusions: We developed a nomogram model for NSCLC patients after surgery. This novel and useful tool outperforms the widely used TNM staging system and could benefits clinicians in treatment options and cancer control.