bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic immune-inflammation index within the first postoperative hour as a predictor of severe postoperative complications in upper abdominal surgery: A retrospective single-center study
Authors: Jiao Yang , Zhang Xiao , Liu Mei , Sun Yu'e , Ma Zhengliang , Gu Xiaoping , Gu Wei , Zhu Wei 
Published: June 2022

Abstract
Background
Systemic pro-inflammatory factors play a critical role in mediating severe postoperative complications (SPCs) in upper abdominal surgery (UAS). The systemic immune-inflammation index (SII) has been identified as a new inflammatory marker in many occasions. The present study aims to determine the association between SII and the occurrence of SPCs after UAS.
Methods
Included in this study were 310 patients with upper abdominal tumors who received UAS and subsequently were transferred to the anesthesia intensive care unit between November 2020 and November 2021 in Nanjing Drum Hospital. SPCs, including postoperative pulmonary complications (PPCs), major adverse cardiac and cardiovascular events, postoperative infections and delirium, were recorded during the hospital stay. The clinical features of the patients with and without SPCs were compared by Student’s t-test or Fisher’s exact test as appropriate. Risk factors associated with SPC occurrence were evaluated by univariable and multivariable logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to establish a cut-off level of SII value to predict SPCs.
Results
Of the 310 patients receiving UAS, 103 patients (33.2%) presented at least one SPC, including PPCs (n = 62), adverse cardiovascular events (n = 22), postoperative infections (n = 51), and delirium (n = 5). Blood samples were collected for SII and other laboratory measurements before operation and within the first hour after operation. Both preoperative SII and 1-h postoperative SII in patients with complications were significantly higher than those in patients without significant SPCs. Multivariate analysis showed that 1-h postoperative SII was an independent predictor for SPCs occurrence (OR = 1.000, 95% CI 1.000–1.000), together with 1-h postoperative C-reactive protein, 1-h postoperative arterial lactate, 1-h postoperative oxygenation-index and older age. The ROC curve showed that the optimal cutoff value of 1-h postoperative SII to predict SPC was 754.6078×109/L, with an 88.3% sensitivity and a 29% specificity.
Conclusion
Our findings demonstrated an association between the higher level of 1-h postoperative SII and SPCs, suggesting that 1-h postoperative SII may be a useful tool for identifying patients at risk of developing SPCs.
Salinity indicators in sediment through the fluvial-to-marine transition (Fraser River, Canada)
Authors: Dashtgard Shahin E. , Wang Aihua , Pospelova Vera , Wang Pei-Ling , Croix Andrew La , Ayranci Korhan 
Published: June 2022

Abstract
Many sediment attributes have been proposed as proxies for determining salinity conditions under which sediment is deposited, and six attributes (Sr/Ba-HAc, Sr/Ba-NH4Ac, δ13Corg, C/N, and the relative abundances and concentrations of dinoflagellate cysts) are compared here. In this paper, sediment attributes from the Fraser River Delta, Canada and surrounding coastal areas are compared by depositional position along the fluvial-to-marine transition, by sea-surface salinity, and by sedimentological characteristics. Along the fluvial-to-marine transition, most attributes exhibit distinct trends between parts of the river that experience sustained marine water (saltwater) influence over seasonal and tidal timeframes, and parts that experience only freshwater or periodic saltwater influence. No attributes are reliable indicators of depositional position where saltwater incursion is short lived or where water is fresh. Where marine influence is sustained, Sr/Ba-HAc and Sr/Ba-NH4Ac are the most reliable positional indicators along the fluvial-to-marine transition. When compared strictly to salinity, Sr/Ba-HAc, Sr/Ba-NH4Ac, and δ13Corg all correlate predictably except in delta front and prodelta settings. Our data show that all six sediment attributes are heavily impacted by river-derived sedimentation, and it is not appropriate to compare values from strongly river-influenced settings (e.g., deltas) with those from weakly river-influenced settings (e.g., bays and estuaries).
Diversity in tree and fruit traits of wood apple (Limonia acidissima L.) genetic resources collected from south India
Authors: Lamani Shrinivas , Hosakatte Niranjana Murthy 
Published: June 2022

Abstract
Wood apple (Limonia acidissima L.) is an undomesticated nutritionally and medicinally potential monotypic tree species of the genus Limonia, which belongs to the family Rutaceae. This species is remained underexploited due to a lack of awareness regarding its significance and systematic study of its diversity. The present work was carried out to recognize the elite populations for future cultivation among the studied populations of South India. Considering a wide genetic diversity in wood apples, 32 populations were assessed by the prepared set of qualitative and quantitative traits presented in this study. The tree height ranges between 7.68 to 16.69 m, canopy area was 18.78 to 36.36 m3 whereas, the weight of the fruits ranges between 118.30 to 233.42 g, the percentage composition of pulp was 53.91 to 72.93% and the percentage composition of seed was 4.02 to 9.07%. The tree with medium height with an average of 11.13 m and having average stem girth of 2.62 m showed large-sized fruits with an average weight of 233.43 g and an average percentage of 65.04% of pulp (TN-03). The obtained results were subjected to multivariate statistical analysis, using the techniques of principal component analysis and cluster analysis, and were formed into 4 clusters. The formation of different clusters shows the genetic variability and the dissimilarity among the genotypes which could guide the selection of elite genotypes to enrich the programs of genetic improvement of the wood apple. Out of 4 cluster groups, cluster 1 and cluster 2 could be used for domestication programs because they showed superior fruit-related traits by having the highest fruit, pulp, and seed weight even though they have average morphology of trees.
The relationship between screen time and attention deficit hyperactivity disorder in Chinese preschool children under the multi-child policy: a cross-sectional survey
Authors: Zhou Yu , Jiang Xinye , Wang Ran , Guo Bingbing , Cai Jingfen , Gu Yujing , Pei Jingjing 
Published: June 2022

Abstract
Background: Long screen time has become a public health problem that cannot be ignored. The association between screen time and Attention deficit hyperactivity disorder (ADHD) has received widespread attention in preschool children.Methods: A questionnaire survey was used to investigate 2452 people. ADHD symptoms were assessed by the Conners Child Behavior Scale. Considering that the hyperactivity index of boys and girls might be quite different, this study conducted all the studies by gender. Generalized linear model was used for regression analysis. In order to exclude the influence of overweight and obese children, we also conducted a sensitivity analysis. P values were two-tailed with a signiﬁcance level at 0.05. Results:The results showed that the average daily screen time of preschool children was more than 1 hour, of which the average screen time on weekends was 1.13±0.80 hours per day. Screen time on weekends has a significant effect on ADHD symptoms of preschool children. And the eldest child was more likely to be affected by screen time in muti-child families.Subgroup analysis found that conclusions were similar in different genders and BMI children.Conclusions: The issue of weekend screen time for preschoolers needs to be taken seriously, especially for eldest child in multi-child families.
An interpretative phenomenological analysis of the experience of couples’ recovery from the psychological symptoms of trauma following traumatic childbirth
Authors: Attard Rose , Iles Jane , Satherley Rose-Marie 
Published: June 2022

Abstract
Globally, a large proportion of birthing mothers, and a to a lesser extent their partners, experience birth trauma each year, and yet access to adequate post-natal trauma support is rarely available. Untreated birth trauma has been shown to negatively impact the family in terms of the parents’ relationship with one another, and long-term negative consequences for the child. Despite a drive towards integrating mental health support into maternity services and a call to provide mental health support for couples rather than solely the birthing mother, there is little research exploring what birthing couples find helpful in recovery from birth trauma. The current research interviewed six couples using an Interpretative Phenomenological Approach in order to explore their understanding of what supported their recovery from birth trauma. Four themes were identified: ‘We need validation’, ‘Feeling paper thin’, ‘This is a system failure’ and ‘Birth trauma is always going to be a part of you’. The data describes an understanding of parents’ feelings of vulnerability and loss of trust in services to provide support following birth trauma. Further, parents’ need for validation and repositioning of control away from healthcare professionals when considering the availability and knowledge of the support options available is discussed. Clinical implications for supporting parents following birth trauma are explored, including an identified need for trauma informed care communication training for all healthcare professionals involved in maternity care, and the requirement for sources of therapeutic support external from the parent dyad in order to maintain the couples’ interpersonal relationship.
The Artistic Features of Women's Close-Crotch Pants Unearthed from Tombs of the Ming Dynasty in the Jiangnan Area of China
Authors: Lin Pengfei , Niu Li 
Published: June 2022

Abstract
A close-crotch pant was a kind of Chinese women's underwear in the Ming Dynasty. The politics, economy, culture, and folk customs of the Ming Dynasty all had an impact on their popularity and use.This paper analyzes the situation of women's close-crotch pants unearthed from the tombs of the Ming Dynasty in the Jiangnan area of China, and explores their artistic characteristics of modeling the structure and fabric patterns. The study has shown that the plane collage of the women's close-crotch pants unearthed from the tombs in the Ming Dynasty of the Jiangnan area in China is an artistic expression of material saving. The diversity of fabric pattern options and the transformation of women's close-crotch pants from practicality to aesthetics are the results of economic development and social change.
Effect of milling time on the structural, microstructure and magnetic properties of nanocrystalline Fe90Sb10 powders obtained by high energy ball milling
Authors: GUEMMOUD nassima , hafs ali , hafs toufik 
Published: June 2022

Abstract
Nanocrystalline binary powders Fe90Sb10 (wt.%) have been elaborated by high energy ball milling in order to study the effect of the milling time on the microstructural and magnetic properties of these alloys. The evolution of structural, morphological and magnetic properties were investigated, as a function of milling time, using the X-ray diffraction (XRD), Scanning Electron Microscopy (SEM) coupled with Energy Dispersive X-ray spectrometry (EDX) and the vibrating sample magnetometer (VSM). A disordered Fe (Sb) solid solution with body centered cubic (bcc) crystal structure is formed after twelve hours of milling from XRD results. When the milling time increases, the lattice parameter progressively increases from 0.2861 nm for the Fe90Sb10 (zero hour milling) compound down to 0.2870 nm for thirty six hours of milling. The sample with the longest milling time has exhibited the lowest value for the mean grain size of 18.16 nm as well as the microstrain of 0.19%. Grain morphology of the powders at different formation stages was examined using scanning electron microscopy (SEM). The chemical composition homogeneity the powder form Fe90Sb10 (wt.%) were studied done with EDX experiments. For Fe-10Sb (wt.%) nanostructured powders, magnetisation saturation ,coercive fields and remnant magnetisation derived from the hysteresis curves were discussed as a function of milling time.
A Weighted K- Means clustering Algorithm for Clustering Big Data based on MapReduce
Authors: Dandug Lakshmi Srinivasulu , Vani Koneru Suvarna 
Published: June 2022

Abstract
Big data has gained popularity as a means of storing, managing and processing large amounts of data. In the area of big data analysis, clustering datasets has become a difficult problem. MapReduce and its accessible version of Hadoop have gained appeal in both academia and businesses as the requirement for big data analytics in scientific applications and internet services continues to grow. Hadoop is a very practical approach for constructing big data analytics frameworks. Hadoop, on either side, has faults in a variety of areas, such as data resource management, scheduling policies and management to mention a few. When performing MapReduce jobs in Hadoop clusters, these issues frequently lead to excessive energy usage. This approach intends to introduce an innovative weighted k-means clustering algorithm based on intelligent Aquila weighting activity. To broaden the difference between clusters, the degree of connectivity among clusters is first stated in the clustering model. Additionally, Aquila optimization is used to select initial cluster centers, which eliminates the sensitivity of early cluster centers. This novel algorithm has high-speed performance with a perfect Map-Reduce function. For that, we use HDFS with the python platform. The proposed method allows any volume of data to be clustered, and there is no restriction on the number of data that may be clustered. The presented algorithm performs well and has a high degree of precision. This kind of novel method provides better accuracy for the clustering process and reduces the complexities presented in this clustering. The experimental outcomes show that the proposed method yields superior performances.
Mandarin peel antioxidants and their application in enhanced probiotic ultra-filtration soft cheese
Authors: Ebid Warda M. A. , Mohamed Alaa S. , Roby Mohamed H. H. 
Published: June 2022

Abstract
Mandarin peel powder (MPP), which has a higher polyphenol concentration than edible parts, is the most major source of bioactive ingredients. The total phenolic (TPC) and antioxidant content of several mandarin peel extracts were evaluated. A starter containing Lactobacillus acidophilus LA5 and Streptococcus thermophilus as a mixed strain (1:1) with the addition of 1, 3 and 5% of MPP and a control without MPP, was used to make UF soft cheese. The total solid content, pH values, acidity, protein and fat contents, and organoleptic properties during storage at 5±2°C for 21 days of soft cheeses were evaluated. The results revealed that the total phenolic contents in methanol extract were the highest and the lowest recorded in acetone extraction, the same trend found in antioxidant activity. The inclusion of both probiotic strains and MPP improved cheese quality; symbiotic cheese had considerably higher relative degrees of titratable acidity and total solids than control cheese. The sensory examination revealed that adding the MPP at a ratio of 1% increased the score. Finally, it is proposed that probiotic-fortified cheese and MPP oriented functional food have acceptable composition and sensory features.
Assessment of stage-wise deficit furrow irrigation on tomato crop production at Arba minch, Ethiopia
Authors: Mamo Befikadu Belay , Affessa Girum Metaferia 
Published: June 2022

Abstract
Scarcity of freshwater resource threatens sustainable agricultural production in arid and semi-arid regions of Ethiopia. Therefore improved irrigation technologies needed to be developed for water saving and increase productivity per unit of water. Deficit irrigation is a recent innovative approach of water-saving method that reduces irrigation amounts and maximizes water productivity. The field experiment on tomato crop was undertaken at Arba Minch, South Nations, Nationalities and Peoples Region of Ethiopia. The objectives of the study were assessing the impact of deficit irrigation at different growth stages on the phenology, crop yield, and water productivity, and identifying the sensitive crop growth stage of tomato to waters stress. The result of the study shows a highly significant difference (P ≤ 0.05) among treatments for phenology, yield and yield components, and Water use efficiency. The highest fruit yield (64.65ton/ha) was obtained from the control treatment which was not significantly different from treatment with 65%ETc applied at stage I (63.28 tons/ha). The highest crop water use efficiency 18.78kg/m3 and gross benefit 646073.04 Birr/ha were gained from treatment with the application of 65% of ETc during the vegetative stage. On the other hand, the crop yield response factor shows that the flowering and fruit development stage was highly sensitive to water stress. Whereas, the sensitivity of the vegetative growth stage to water stress was minimum. This shows that applying deficit irrigation at the flowering and fruit development stage results in a potential yield reduction and deficit irrigation at this stage is not recommended. The application of 65% ETc deficit irrigation during the vegetative stage can solve the water shortage problem without significant yield reduction.
Gap analysis of current and desired states of agricultural teachers' professional competency components for working with students with special needs
Authors: Dadoukolaei Mehdi Alikhani , Chizari Mohammad , Bijani Masoud , Hicks Troy 
Published: June 2022

Abstract
The present study aimed to assess the current state of professional competencies (PCs) [general and specific competencies (GSCs)] in Iranian agricultural teachers (ATs) for working with students with special needs (SSNs), to compare it with the desired state, and then to analyze their gaps. The statistical population of this study consisted of two groups of ATs and principals of vocational-technical schools for SSNs (N = 148), of these a total number of 66 ATs and 57 principals, selected as the study samples. Using a survey technique, a researcher-made questionnaire was further employed to collect the data. The results of paired test accordingly revealed a significant gap in all PC components in ATs, including instruction design (ID), professional development (PD), professional ethics (PE), cooperation (C), perceived student diversity (PSD), technology (T), agricultural education technique (AET), and special education technique (SET) between the current and desired states at a 1% error, reflecting the need to enhance these components. For this reason, adopting a creative approach to achieve optimum PC is of utmost importance. Since a general understanding of special education (SE) is established, the study results can have implications for schools and teachers for working with SSNs.
Fully Automatic Prognostic Biomarker Extraction from Metastatic Prostate Lesion Segmentations in Whole-body [68Ga]Ga-PSMA-11 PET/CT Images
Authors: Kendrick Jake , Francis Roslyn , Hassan Ghulam Mubashar , Rowshanfarzad Pejman , Ong Jeremy , Ebert Martin 
Published: June 2022

Abstract
Purpose: This study aimed to develop and assess an automated segmentation framework based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga]Ga-PSMA-11 PET/CT images for the purpose of extracting patient-level prognostic biomarkers. Methods: 337 [68Ga]Ga-PSMA-11 PET/CT images were retrieved from a cohort of biochemically recurrent (BCR) PCa patients. A fully 3D convolutional neural network (CNN) is proposed which is based on the self-configuring nnU-Net framework, and was trained on a subset of these scans, with an independent test set reserved for model evaluation. Voxel-level segmentation results were assessed using the dice similarity coefficient (DSC), precision, and sensitivity. Recall and precision were calculated to assess lesion level detection; patient-level classification results were assessed by the accuracy, precision, and sensitivity. Whole-body biomarkers total lesional volume (TLVauto) and total lesional uptake (TLUauto) were calculated from the automated segmentations, and Kaplan-Meier analysis was used to assess biomarker relationship with patient overall survival. Results: At the patient level, the accuracy, sensitivity, and precision were all >90%, with the best metric being the precision (97.2%). Precision and recall at the lesion level were 88.2% and 73.0%, respectively. DSC and precision measured at the voxel level performed within measured inter-observer variability (DSC; median = 50.7% vs. second observer = 32%, p = 0.012. Precision; median = 64.9% vs. second observer = 25.7%, p < 0.005). Kaplan-Meier analysis of TLVauto and TLUauto showed they were significantly associated with patient overall survival (both p < 0.005). Conclusion: The fully automated assessment of whole-body [68Ga]Ga-PSMA-11 PET/CT images using deep learning shows significant promise, yielding accurate scan classification, voxel-level segmentations within inter-observer variability and potentially clinically useful prognostic biomarkers associated with patient overall survival. This study was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12615000608561) on 11 June 2015.
Quantification of steric hindrance by geometric calculation, prediction of the reductive selectivity of ketones, and clarification of reaction mechanism
Authors: Sakaguchi Daimon , Gotoh Hiroaki 
Published: June 2022

Abstract
Stereoisomers often have different physiological characteristics, and stereocontrol , which includes diastereoselective reduction of carbonyls, is important in the synthesis of pharmaceuticals and natural products. Here, we have developed a model that offers features that have been difficult to achieve simultaneously using conventional methods: reflective of the experimental values of selectivity, applicable to both chained and cyclic ketones, and can quantitatively predict diastereoreductive selectivity. The method, named Moving Sphere Model (MSM), predicts diastereoreductive selectivity by quantifying steric hindrance by the overlapping volume of ketone substrate atoms and a virtual sphere moving in both reaction directions. The reaction mechanism was predicted by examining how the consistency between the calculated selectivity by MSM and the experimental values of selectivity changes when the values of the radius r of the virtual sphere and reaction direction θ are changed. Thus, a reaction mechanism in which only hydride contributes to steric hindrance was inferred for the reduction of ketones by NaBH4 in MeOH solvent. Meanwhile, for the reduction of ketones with NaBH4 in iPrOH solvent, a reaction mechanism in which the solvent introduced to the reducing agent also contributes to steric hindrance was inferred. The MSM enabled us to calculate the angle of nucleophilic attack to carbonyls based on experimental facts, to infer the reaction mechanism of the reduction of ketones with NaBH4 in alcohol solvents, and to predict the reduction selectivity of ketones with NaBH4 in MeOH solvents.