bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of cross-shareholding under different power structures considering green investment and green marketing
Authors: Liu Hao , Wu Sheng , Zhao Xinyue , Chen Haodong , Wang Guobao , Song Zhigang , Fan Yuqing 
Published: September 2022

Abstract
Cross-shareholding has played an important role in strengthening strategic synergy among enterprises, but its impact on the green development of enterprises is unclear. In this paper, we construct an analytical framework that includes a manufacturer and a retailer to explore the impact of cross-shareholdings under different leaderships on green supply chain operational decisions and profits, in which the manufacturer invests in green technologies and the retailer conducts green marketing. By constructing and solving the game model of manufacturer-led and retailer-led before and after cross-shareholding, it is found that after cross-shareholding, the product's green level and the retailers' marketing level are improved. For supply chain leaders, cross-shareholdings always increase their profits. Only when the follower holds the leader's shares no more than a certain value, cross-shareholding will increase the total profit of the supply chain. In addition, we obtain the optimal decisions and profits of the supply chain in the integrated situation and design two-part pricing contracts to achieve cross-shareholding supply chain coordination. The results of this paper can provide theoretical guidance and decision support for enterprises interested in using cross-shareholding to improve supply chain performance.
Comparison of Green Space Usage During Covid-19.
Authors: Helmi Humam , Kara Can 
Published: September 2022

Abstract
The main goal of this paper is to evaluate the park’s usage and accessibility in the northern part of Nicosia, Cyprus, and to compare the usage and accessibility before and after the pandemic of Covid-19 also known as coronavirus. Within this study, we will have a better understanding of the situation of parks and how the usage has been changed because of the pandemic and lockdown and it will also help the urban developers in improving these parks in the future by making them safer and healthier to use during these times of pandemic and will help in dealing with similar pandemics in the future. A total of 500 questionnaires has been distributed to the residents of Nicosia to find how the people’s behavior and how the usage of parks has been changed before and after the pandemic these data were analyzed and studied using SPSS descriptive statistics method and also filed studies where made to identify the parks in Nicosia the results showed that the parks have a good atmosphere and people using it a lot epically during summer and spring seasons however there was a decline in parks usage during the pandemic and a lot of the improvement can be made to make this parks safer and better for the people in Nicosia. The recommendation has been made in order the help the urban development team in making their decisions in the future and how they can improve this park and also recommendation has been made for future studies on the similar topic all of this will help us to make the parks better place and much safer for the residents of Nicosia.
Isolated oligohydramnios in previous pregnancy is a risk factor for a placental related disorder in subsequent delivery
Authors: Leytes Sophia , Kovo Michal , Weiner Eran , Herman Hadas Ganer 
Published: September 2022

Abstract
Background
We aimed to assess the association between isolated oligohydramnios in previous pregnancy and the incidence of placental related complications in subsequent pregnancy.
Methods
This was a retrospective cohort study of live singleton births from a single university affiliated medical center during an eleven-year period. We included women with two subsequent livebirth singleton deliveries at our center. A comparison was performed between subsequent pregnancies of women with isolated oligohydramnios in their first pregnancy (previous oligohydramnios group), and women without isolated oligohydramnios in their first pregnancy (control group). Patients for whom their first delivery was complicated by small for gestational age or pregnancy induced hypertension were excluded. The study groups were compared for obstetric and early neonatal outcomes, as well as recurrence of isolated oligohydramnios and a composite of placental related pregnancy complications, defined as one of the following complications: pregnancy induced hypertension, small for gestational age or placental abruption.
Results
A total of 218 in the previous oligohydramnios group and 5635 in the control group were compared. No differences were found between the groups in maternal age, body mass index, smoking and comorbidities. Gestational age at delivery was, 39.6 ± 1.1 vs. 39.3 ± 1.4 weeks, p = 0.001, in the oligohydramnios and controls respectively. Preterm birth rate was similar between the groups. As compared to controls, the previous isolated oligohydramnios group had a significantly higher incidence of oligohydramnios recurrence, 6.4% vs. 2.0%, p < 0.001, a higher rate of small for gestational age neonates, 7.8% vs. 4.4%, p = 0.02, and an overall higher rate of placental related disorders of pregnancy, 9.1% vs. 5.4%, p = 0.02.
Conclusion
Pregnancies complicated by isolated oligohydramnios are associated with an increased risk of placental related disorders in subsequent pregnancy. Isolated oligohydramnios may be the first sign of placental insufficiency and an independent manifestation of the placental related complications spectrum.
Online Prediction of Automotive Tempered Glass Quality using Machine Learning
Authors: Khdoudi Abdelmoula , Barka Noureddine , Masrour Tawfik , Hassani Ibtissam El , Mazgualdi Choumicha El 
Published: September 2022

Abstract
This study introduce the application of machine learning algorithms for supporting the manufacturing quality control of a complex process as an alternative for the destructive testing methodologies. The choice of this application field was motivated by the lack of a robust engineering technique to assess the production quality in real time, this arise the need of using advanced smart manufacturing solution as AI in order to save the extremely high cost of destructive tests. In concrete, this paper investigates the performance of machine learning techniques including Ridge regression, Linear Regression, Light Gradient Boosting Machine, Lasso Regression and more, for predicting the flat glass tempering quality within the building glass industry. In the first part, we applied the selected machine learning models to a dataset collected manually and made up by the more relevant process parameters of the heating and the quenching process. Evaluating the results of the applied models, based on several performance indicators such as Mean Absolute Error, Mean Squared Error, R Squared, declared that Ridge Regression was the most accurate model. The second part consist of developing a digitalized device connected with the manufacturing process in order to provide predictions in real time. This device operates as an error-proofing system that send a reverse signal to the machine in case the prediction shows a non-compliant quality of the current processed product. This study can be expanded to predict the optimal process parameters to use when the predicted values does not meet the desired quality, and can advantageously replace the trial and error approach that is generally adopted for defining those parameters. The contribution of our work relies on the introduction of a clear methodology (from idea to industrialization) for the design and deployment of an industrial-grad predictive solution within a new field which is the glass manufacturing.
Expression of CFTR, a hallmark gene of ionocyes, is downregulated in salivary glands of Sjögren’s syndrome patients
Authors: Zhang Qi , Lv Xiuying , Wang Ying , Wang Bin , He Yan , Chen Chubing , Shi Guixiu , Li Yan 
Published: September 2022

Abstract
Introduction: The autoimmune exocrinopathy, Sjögren’s syndrome (SjS), is associated with secretory defects in salivary glands. The cystic fibrosis transmembrane conductance regulator (CFTR) of the chloride channel is a master regulator of fluid secretion, but its role in SjS has not been investigated. Our research found a link between CFTR and SjS at the genetic and protein levels, as well as through clinical data.
Methods: We used single-cell RNA sequencing to identify the presence of CFTR in glandular epithelial cells of the human salivary gland (scRNA-seq) and confirmed the difference using immunofluorescence tests in labial glands and clinical data statistics from 44 non-SjS and 36 SjS patients.
Results: The changes of CFTR expression in salivary glands of SjS patients was assessed at both mRNA and protein levels. According to the scRNA-seq analyses, CFTR was the hallmark gene of ionocyes. We firstly identified that SjS had a lower level of CFTR expression in the labial glands than non-SjS at mRNA level.
Using immunofluorescence assays, we also found that CFTR expression was decreased in SjS patients compared to non-SjS. The results of the clinical statistics revealed that men appeared to express higher level of CFTR than women, and that CFTR expression was adversely correlated with feelings of dry mouth, lymphocyte infiltration in the labial glands, and certain autoantibodies in serum (antinuclear antibody, anti-SSA and anti-SSB antibodies).
Conclusion: Those findings above proved an obviously downregulated expression of CFTR in salivary glands of SjS patients and its clinical significance. Dysfunction in CFTR or ionocytes may contribute to SjS pathogenesis and represents a promising therapeutic target.
Study on the Prevalence and Associated Risk Factors of Haemonchus Contortus Infection in Small Ruminants in Mitto District, Silte Zone, Southern Ethiopia
Authors: mussa solomon musema 
Published: September 2022

Abstract

Background

This study will provide helpful information about status of H. contortus and essential risk factors in small ruminants. Thus, the study would contribute to design prevention and control of Haemonchosis in small ruminants and enhance awareness to the community. Moreover, veterinarians and other researcher will be benefited by getting such research information. The regional and national disease controllers can use these study findings in their policy making and planning activities during disease control programs.

Results

The present study revealed that the overall prevalence of H. contortus in small ruminants was 46.1%, which indicated a high prevalence of the parasite in the study area. Of the examined animals, 52.1% sheep and 33.1% goats were found positive showing a statistically significant difference in prevalence (P < 0.05). Similarly the prevalence of H. contortus between sexes and age groups showed significant difference (P < 0.05) 51.4% in females and 36.3% in males, between age 6 % in young and 35.5% in adult and 44.1% in old respectively. Meanwhile statically significant variation was recorded of the prevalence among the categories of BC, poor 81.6%, medium 33.3% and 16.3% good. Moreover, the prevalence of H. contortus showed significant variation (p < 0.05) among the kebeles of the study areas Seso 57.3%, Adeneba 52.1%, G/gogilo 40.6%, and G/shefode 34.4%.

Conclusions

In this study revealed that Haemonchosis is a prevalent gastrointestinal parasite of small ruminants in the study areas. Therefore, due to its important health problem and impact on production in the study area, emphasis should be given to the control and prevention of H. contortus infection with further studies on species identification and larval ecology.
Semiparametric Trend Analysis for Stratified Recurrent Gap Times under Weak Comparability Constraint
Authors: Liu Peng , Huang Yijian , Chan Kwun Chuen Gary , Chen Ying Qing 
Published: September 2022

Abstract
Recurrent event data are frequently encountered in many longitudinal studies where each individual may experience more than one event. [1] proposed a comparability constraint to estimate the time trend for the gap times, where the gap time pairs that satisfy the constraint have the same conditional distribution. However, the comparable paired gap times are also independent. Therefore, the comparable gap time pairs will be subject to a stronger constraint than needed for the estimation. Thus their procedure is subject to information loss. Under the accelerated failure time model, we propose a new comparability constraint that can overcome the drawback mentioned above. The gap time pairs being selected by the proposed comparability constraint will still have the same distribution, but they do not need to be independent of each other. We prove that the new estimator will still be unbiased. However, the variance will be smaller than [1]’s estimator. Thus our method is superior to [1]. Numerical studies also confirm the theoretical findings. We apply the proposed method to the HIV Prevention Trial Network 052 study.
Comparative Genomics Reveals New Insights into the Evolution of the IncA and IncC Family of Plasmids
Authors: Zhang Fengwei , Ye Xianwei , Yin Zhiqiu , Hu Mingda , Wang Boqian , Liu Wenting , Li Beiping , Ren Hongguang , Jin Yuan , Yue Junjie 
Published: September 2022

Abstract
Incompatibility groups IncA and IncC plasmids are of great concern due to their ability to disseminate antibiotic resistance in bacteria via conjugative transfer. A deep understanding of their genomic structures and evolutionary characteristics is of great significance for improving our knowledge about its multidrug-resistance evolution and dissemination. However, current knowledge of their backbone structure, features of core functional modules and the characteristics of variable regions is based on a few plasmids, which highlights the need for a comprehensive systematic study. The present study thoroughly compared and analysed 678 IncA and IncC plasmid genomes. We found that their core functional genes were occasionally deficient and sometimes existed as multiple functional copies/multiple families, which resulted in much diversity. The phylogeny of 13 core functional genes corresponded well to the plasmid subtypes. The conjugative transfer system gained diverse complexity and exhibited many previously unnoticed types with multiple combinations. The insertion of mobile genetic elements (MGEs) in plasmids varied between types and was present in 4 hotspots in different types of plasmids with certain types of transposons, integrons and insertion sequences. The impact of gene duplication, deletion, the insertion of MGEs, genome rearrangement and recombination resulted in the complex dynamic variable backbone of IncA and IncC plasmids. And IncA and IncC plasmids were more complex than their closest relative SXT/R391 integrative conjugative elements (ICEs), which included nearly all of the diversity of SXT/R391 in key systems. Our work demonstrated a global and systematic view of the IncA and IncC plasmids and provides many new insights into their genome evolution. IMPORTANCE The incompatible plasmid groups IncA and IncC are of great concern for spread and dissemination of multi-drug resistant phenotypes among diverse bacterial species via conjugative transfer. A deep understanding of their genomic structures and evolutionary features based on large-scale plasmids sequences is of great significance for improving our knowledge about its multidrug-resistance evolution and dissemination. The present study showed their core functional genes and conjugative transfer system possess much diverse complexity than typical depicted. And the backbone of IncA and IncC plasmids were complex dynamic that were influenced by gene duplication and loss, the insertion of MGEs which varied between plasmids types and genomic hotspots, genome rearrangement and recombination. Compared to their closest relative SXT/R391 ICEs, IncA and IncC plasmids included nearly all of its diversity in key systems. Our work demonstrated a global and systematic view of the IncA and IncC plasmids and revealed many previously unknown features and diversity.
A lesson in humility: The added values of PET-MRI over PET-CT in detecting malignant hepatic lesions
Authors: Cohen Dan , Kesler Mikhail , Kurash Marina Muchnik , Even-Sapir Einat , Levine Charles 
Published: September 2022

Abstract
Purpose: The recent introduction of integrated PET-MRI systems into practice seems promising in oncologic imaging. Efforts are made to specify the added-values of this modality. The current study evaluates the added-values of PET-MRI over PET-CT in detecting active malignant hepatic lesions.
Methods: As part of an ongoing prospective study in our institution that assesses the added-values of PET-MRI over PET-CT, subjects undergo whole-body PET-CT and subsequent dedicated PET-MRI after single radiotracer injection. The current study included 97 consecutive paired [18F]FDG PET-CT and liver PET-MRI scans (of 61 patients) interpreted as showing active malignant hepatic involvement. Primary malignancies were of colorectal/biliary/pancreatic/breast/other origins in 19/9/9/7/17 patients. Eighty-six paired scans were performed for monitoring response to therapy. When PET-MRI detected additional malignant lesions over PET-CT, lesions size, the main advantage PET-MRI offered, and the influence on the final report were recorded.
Results: In 37/97 (38.1%) cases, a total of 78 malignant lesions were reported based on PET-MRI data only. The improved detectability on PET-MRI was evident in three groups of lesions: (1) [18F]FDG-avid lesions seen on PET of PET-MRI but not on PET of PET-CT (11 cases, 19 lesions); (2) small lesions (≤0.8cm) identified by MRI only (14 cases, 37 lesions); (3) lesions >0.8cm with low/no [18F]FDG-uptake categorized as viable based on MRI (12 cases, 22 lesions). These lesions caused major effect on final reports in 11/97 (11.3%) cases, changing reported response assessment category (10/86 cases) or defining malignant hepatic disease on staging/restaging scans (1/11 cases).
Conclusion: PET-MRI offers several advantages over PET-CT in assessing the extent and response to therapy of malignant hepatic involvement. Additional malignant lesions are detected by PET-MRI due to better PET performance, greater spatial resolution provided by MRI, and improved multi-parametric viability assessment of lesions. In around one-tenth of cases, such findings significantly change the final report's conclusion.
PRM-based quantitative proteomics analysis of altered HSPs expression in villi and decidua of early missed abortion patients
Authors: Chen Xiao-Fang , Chen Xiao-Qing , Luo Hai-Lian , Xia Li-Na , Huang Shu-hui 
Published: September 2022

Abstract
Objective: In this study，we aimed to identify differentially expressed heat shock proteins (HSPs) profile in the villi and decidua from early missed abortion(EMA) patients.
Methods: By using high-throughput and high-precision Parallel Reaction Monitoring (PRM)-based targeted proteomics technique, this study studied the expressions of HSPs in villi and decidua of 10 EMA patients and 10 controls. Meanwhile, the expressions of 3 HSPs in villi of another 22 EMA patients and 22 controls were verified with Western blotting and immunohistochemistry (IHC).
Results:Compared with the control group, there were potential differences in the expressions of 16 HSPs and 42 polypeptides in human villi and decidua. Among them, HSP90AB1, HSPD1 and HSPA13 were down-regulated in expressions in villi of EMA patients, with a statistically significant difference, which was consistent with the verification results of Western blot and IHC.
Conclusion: Using PRM- based targeted proteomics technique, this study for the first time screens and quantitatively analyzes the expression profile of HSPs in villi and decidua of patients with EMA. The significant down-regulated expressions of HSP90AB1, HSPD1 and HSPA13 are discovered to have a potentially intimate association with the occurrence of EMA. Findings in our study may provide novel potential research targets related to HSPs for the pathogenesis, prevention and treatment of EMA.
Stepwise requirements for Polymerases δ and θ in Theta-mediated end joining
Authors: Ramsden Dale , Stroik Susanna , Carvajal-Garcia Juan , Gupta Dipika , Luthman Adam , Wyatt David , Feng Wanjuan , Kunkel Thomas , Gupta Gaorav , Rothenberg Eli 
Published: September 2022

Abstract
Timely repair of chromosomal double strand breaks is required for genome integrity and cellular viability. The Polymerase Theta-mediated End Joining pathway has an important role in resolving these breaks and is essential in cancers defective in other DNA repair pathways, thus is an emerging therapeutic target. It requires annealing of 2-6 nucleotides of complementary sequence – microhomologies – that are adjacent to the broken ends, followed by initiation of end-bridging DNA synthesis by Polymerase theta. However, the other pathway steps remain inadequately defined, and the enzymes required for them are unknown. Here we demonstrate additional requirements for exonucleolytic digestion of unpaired 3’ tails before Polymerase theta can initiate synthesis, then a switch to a more accurate, processive, and strand-displacing polymerase to complete repair. We show the replicative polymerase, Polymerase delta, is required for both steps; its 3’ to 5’ exonuclease activity for flap trimming, then its polymerase activity for extension and completion of repair. The enzymatic steps that are essential and specific to this pathway are mediated by two separate, sequential engagements of the two polymerases. We show the requisite coupling of these steps together is facilitated by physical association of the two polymerases. This pairing of Polymerase Delta with a polymerase capable of end-bridging synthesis, Polymerase theta, may explain why the normally high-fidelity Polymerase delta participates in genome de-stabilizing processes like mitotic DNA synthesis and microhomology-mediated break induced replication.
Surface Energy Driven Grain Growth Model: FePt L10 Nanoparticles
Authors: Skelland Connor , Hrkac Gino 
Published: September 2022

Abstract
We developed a grain growth model that is based on the energy minimisation of surfaces with respect to the volume energy and the grain's environment. We used the well known FePt L10 system to discover the physical factors that drive the shape and size of FePt grains. It was found that the preferred growth directions are along symmetry planes that are determined by the basic crystal and driven by surface energy minimisation. The model developed here can be used to predict a grain's growth and shape as a function of atomic number and composition. This means that by tailoring a grain's surface and grain boundaries the shape of the magnetic grains can be manipulated.