bluuebunny/crossref_metadata_2025_split huggingface dataset:
MTMC: A Scheduling Framework of Multi-Tasking Mapping on Multi-Chips
Authors: Yao Jinyang , Wang Junchao , Yue Feng , Xu Jinlong , Shan Zheng 
Published: October 2022

Abstract
Currently, accessing quantum chips through the quantum cloud is the conventional way for most researchers to use quantum computers. In the case of limited quantum chip resources, improving the overall utilization of quantum chips can provide advantages from using quantum computer systems. At present, the main method to improve resource utilization is through multiprogramming on one quantum chip by putting multiple programs on one quantum chip for execution. A scheduling framework of multitasking mapping on a multichip is proposed in this paper. This framework is deployed in the later stage of the quantum computing compiler. Moreover, this framework can unify all candidate chips in the cloud platform into a computing resource pool and automatically allocate computing resources for users, which improves the overall efficiency of quantum computers and further simplifies the steps for users to use quantum computers.
Human endometrium derived induced pluripotent stem cells are amenable to directed erythroid differentiation
Authors: Kim Hyun Kyung , Cho Si Hyun , Choi Young Sik , Lee Byung Seok , Kim Sinyoung , Kim Hyun Ok , Park Joo Hyun 
Published: October 2022

Abstract
Background: With the consistent increase in life-expectancy, excavating novel sources of regenerative medicine is an important objective to enhance disease free life expectancy. A comprehensive protocol for using human endometrium derived induced pluripotent stem cells to derive hematopoietic and erythroid lineages will be elaborated, through a two-phase culture system.
Method: Discarded endometrial tissues were obtained from women receiving hysterectomy in their 4th to 5th decade due to benign uterine conditions. The endometrial cells isolated were expanded to passage 3-4 to allow stromal cells to dominate in the culture environment. pCE-Sox2, Oct4, Klf4, L-Myc and Lin28 episomal vectors were used to electrotransfection the endometrial stromal cells. The erythroblast differentiation of these established induced pluripotent stem cells (iPSCs) were conducted in two phases. The first 8 days involves commitment to hematopoietic stem cells through embryoid body with robust expansion on murine bone marrow stromal cells. The second phase involves feeder free conditions with hydrocortisone, stem cell factor, interleukin-3, and recombinant EPO. After 22 days of feeder free culture, the expression profiles of CD235a+, CD34+, CD43+ and CD 71+ were analyzed by flow cytometry and Wright-Giemsa staining for differential counting. The oxygen carrying capacity of cultured RBCs was measured using a hemoxanalyser.
Results: As a result of inducing these cells via co-culture with murine stromal fibroblasts, all endometrium derived iPSCs were differentiated into erythroblasts with stably yielding over 80% of polychromatic and orthochromatic normoblast. The protocol for complete induction of erythroid lineage cells starting from human endometrial tissue via iPS cells has been optimized.
Conclusion: Successful induction of hematopoietic cell fate followed by erythroid differentiation up to erythroblast were achieved in an effort to develop transfusion source. And a complete process of actually deriving iPS cells with discarded surgical hysterectomy specimens has significance in the possibility of expanding the scope of use of theses iPSC cell lines in the future.
Start small and let it build; a mixed-method evaluation of a school-based physical activity program, Kilometre Club
Authors: Schirmer Teisha , Bailey Andrew , Kerr Nicola , Cecilio Michael , Ferrington Linda , Walton Alison 
Published: October 2022

Abstract
Background
Despite the benefits of physical activity, there is minimal research focusing on factors that influence grassroots school-based physical activity programs. Kilometre (KM) Club is an Australian grassroots program which aims to increase physical activity in students through the completion of an outside walk or run at school. This study aimed to examine the benefits, enablers and barriers of KM Club. It also aimed to examine the effects of KM Club on student’s physical activity levels during the school day.
Methods
Four regional NSW primary schools participated in this study. 26 families, four teachers, and two principals completed semi-structured interviews to understand their perceptions of KM Club.
21 students completed emotional state-scales to understand their emotions when participating in KM Club. 141 students participated in step-count measures using accelerometers.
Results
Families, teachers and principals reported a range of benefits such as improved fitness levels, participation in sports, social connectedness, eagerness to learn, concentration, home and classroom behaviours and wellbeing outcomes. Enablers consisted of champion engagement, incentives, versatile facilities and integration with other school activities. Barriers consisted of weather and environment, program timing and health issues. Most students reported that participating in KM Club made them feel proud, confident and fantastic. School B reported a significant increase in students' daily step counts on KM Club days compared to non-KM Club days (+15%; p<0.001). School C reported no significant increase in students' daily step counts on KM Club days compared to non-KM Club days (-5%; p<0.26). School D reported a significant increase in the number of daily steps taken by KM Club participants compared with non-KM club participants (+10%; p=0.024).
Conclusion
There is no one-size-fits-all approach to implementing school-based physical activity initiatives. However, it appears that flexible and adaptable factors are important to the successful implementation of school-based programs, such as KM Club. This study revealed a variety of self-reported health, wellbeing and educational benefits for students, as well as an increase in student’s physical activity levels at 2/3 schools. This evidence may help to inform future design, implementation and scale-up of KM Club and school-based health promotion programs, potentially improving child health, wellbeing and educational outcomes.
Trial registration
(LNR223 – LNR/19/NCC/45)
Evaluation of biochemical parameters and some antioxidants indicators in lactating Nubian and Karachai goats under Russian conditions
Authors: Trukhachev Vladimir , Aybazov Ali-Magomet , Mamontova Tatyana , Bogolyubova Nadezhda , Sermyagin Alexander , Rykov Roman , Selionova Marina , Zinovieva Natalia , Imbabi Tharwat 
Published: October 2022

Abstract
The study’s aim was to assess determine the physiological and biochemical status of lactating Nubian and Karachai goats depending on breed and lactation number, as well as to identify correlations between blood biochemical parameters and some antioxidant indicators. Our experiment was divided into two groups for this purpose: the first (comparative group) included Nubian goats (n= 22) and Karachai goats (n= 67), while the second (general group) included Nubian goats (n= 43) and Karachai goats (n= 93). In the comparative group, the levels of total protein, urea, alanine amino transferase (ALT), glucose, total bilirubin, alkaline phosphatase and thiobarbituric acid reactive substances (TBARS), calcium, phosphorus and magnesium were significantly higher in Karachai goats compared to Nubian goats. In the comparable group, lactation number had a significant effect on calcium and alkaline phosphatase but had no effect on other parameters. Correlations were moderately positive between TBARS level and albumin (0.34), cholesterol (0.34), alkaline phosphatase (0.39), phospholipids (0.43), and calcium (0.35) in Nubian goats. On the other hand, were found moderate negative correlations between ceruloplasmin level and albumin (-0.30), A/G (-0.37), magnesium (-0.35), and the total content of water-soluble antioxidants (TAWSA) (-0.40) in Nubian goats. In Karachai goats, there were moderate positive correlations between TBARS level and albumin (0.41), phospholipids (0.41). However, there was found a very strong negative correlation between ceruloplasmin level and TBARS/CP ratio (-0.67). Total protein, albumin, and ceruloplasmin levels in the general group increased as lactation number increased. Aspartate amino transferase (AST), TBRAS, and TBRAS/CP levels were decreased after the second lactation, and TAWSA decreased from I to IV lactation. Moderate positive correlations between TBARS and albumin (0.44), total protein (0.32), and magnesium (0.33). On the other hand, moderate negative correlations were established between ceruloplasmin level and total protein (-0.30), bilirubin (-0.43), triglycerides (-0.32), ALT (-0.30), TAWSA (-0.31).
Age of Diagnosis for Children with Chromosome 15q Syndromes
Authors: Wheeler Anne , Gantz Marie G. , Cope Heidi , Strong Theresa V. , Bohonowych Jessica E. , Moore Amanda , Vogel-Farley Vanessa 
Published: October 2022

Abstract
Objective: The objective of this study was to identify the age of diagnosis for children with one of three neurogenetic conditions resulting from changes on chromosome 15 (Angelman syndrome [AS], Prader-Willi syndrome [PWS], and Duplication 15q syndrome [Dup15q]).
Methods: Data about diagnostic process for each condition were contributed by the advocacy organizations. Median and interquartile ranges were calculated for each condition by molecular subtype and year. Comparison tests were run to explore group differences.
Results. The median age of diagnosis was 1.8 years for both AS and Dup15q. PWS was diagnosed significantly younger at a median age of 1 month. Deletion subtypes for both PWS and AS were diagnosed earlier than nondeletion subtypes, and children with isodicentric duplications in Dup15q were diagnosed earlier than those with interstitial duplications.
Conclusion. Understanding variability in age of diagnosis for chromosome 15 disorders is an important step in reducing the diagnostic odyssey and improving access to interventions for these populations. Results from this study provide a baseline by which to evaluate efforts to reduce the age of diagnosis for individuals with these conditions.
Feature augmentation based on information fusion rectification for few-shot image classification
Authors: Wang Hang , Tian Shengzhao , Fu Yan , Zhou Junlin , Liu Jingfa , Chen Duanbing 
Published: October 2022

Abstract
In the issue of few-shot image classification, due to lack of sufficient data, directly training the model will lead to overfitting. In order to alleviate this problem, more and more methods focus on non-parametric data augmentation, which uses the information of known data to construct non-parametric normal distribution to expand samples in the support set. However, there are some differences between base class data and new ones, and the distribution of different samples belonging to same class is also different. The sample features generated by the current methods may have some deviations. A new few-shot image classification algorithm is proposed on the basis of information fusion rectification (IFR), which adequately uses the relationship between the data (including the relationship between base class data and new ones, and the relationship between support set and query set in the new class data), to rectify the distribution of support set in the new class data. In the proposed algorithm, feature of support set is expanded through sampling from the rectified normal distribution, so as to augment the data. Compared with other image augmentation algorithms, the experimental results on three few-shot datasets show that the accuracy of the proposed IFR algorithm is improved by 0.93%-3.22%.
Determination of resistance mechanisms to water deficit induced during the flowering stage in twelve varieties of cotton (Gossypium hirsutum L.) in Togo.
Authors: KOFFI Kokou Zovodu , BOKOBANA Atalaèsso , AZIADEKEY Mawuli , GNOFAM Nambou , AKANTETOU Komlan Pikassalé , AYEVA Bassarou , YORIKOUME Kondi , BOUKARI Atani Arzouma 
Published: October 2022

Abstract

Background: One of the limiting factors of cotton production in West Africa and more particularly in Togo is drought. Identifying the resistant varieties and understanding the mechanisms involved in their resistance is a major asset for the breeder. In this context, twelve (12) varieties of cotton (Gossypium hirsutum) were studied under two water regimes (normal and deficit during flowering), in 30 L plastic pots, under controlled sowing conditions, following a split-plot design with three replications. The induction of water deficit consisted of a decrease in irrigation from 70% to 30% of the total available water (TAW) for thirty (30) days. Observations were made on agromorphological and biochemical characteristics.
Result: The results showed that decreased water deficit decreased seed cotton production, aerial and root biomass, vegetative branches bolls, and chlorophyll content. On the other hand, the water deficit increases the average weight of the bolls. The resistant varieties to the water deficit were characterized by an increase in the main root length (X148), the chlorophyll content (STONE 907), the secondary roots number, and proline content (BRS 286), and a decrease in the MDA content (STONE 907). The susceptible varieties were characterized by high MDA content (NTALL88) and a low secondary root number (Deltatpine SL Frego).
Conclusion: The varieties STONE 907, BRS286, and X148 can be used as progenitors in crossing programs to improve the water deficit resistance of cotton varieties grown in Togo and West Africa countries.
Klebsiella pneumoniae aggravates lung injury through ethanol production
Authors: Cui Jinghua , Xu Ziying , Yu Zihui , Zhang Qun , Liu Shiyu , Du Bing , Gan Lin , Yan Chao , Xue Guanhua , Feng Junxia , Fan Zheng , Fu Tongtong , Feng Yanling , Zhao Hanqing , Ding Zanbo , Li Xiaoran , Zhang Rui , Cui Xiaohu , Tian Ziyan , Huang Kewu , Wang Wenjun , Bai Yu , Zhou Haijian , Sun Ying , Ke Yuehua , Yuan Jing 
Published: October 2022

Abstract
Klebsiella pneumoniae, a major pathogen leading to severe pneumonia, causes clinical complications in nosocomial and community-acquired infections. We have previously reported that high alcohol-producing K. pneumoniae (HiAlc Kpn) in the gut microbiome are strongly associated with nonalcoholic fatty liver disease (NAFLD) owing to the excess endogenous alcohol production. In the present study, we discovered that Kpn isolated from sputum and bronchoalveolar fluid (BALF) of patients with pneumoniae and chronic obstructive pulmonary disease (COPD) could also produce excess ethanol. In a murine model, HiAlc Kpn aggravated lung injury of mice with acute infection comparing with alcohol dehydrogenase gene-knockout mutant. A single-cell sequencing transcriptome analysis showed that resistin like gamma (Retnlg) neutrophil played a critical role during acute infection. The HiAlc Kpn inactivated Retnlg neutrophils in an ethanol production-dependent manner in mice, which counteract immune defense possibly through down-regulating pyrimidine and modifying DNA methylation. Furthermore, data also showed that HiAlc Kpn inhibited interleukin 1 receptor antagonist (IL1RN) gene expression by neutrophils, thereby activating IL-1β to orchestrate immune responses. Understanding functions of Retnlg neutrophils and IL-1β release in the context of HiAlc Kpn and host interactions are essential for developing novel therapeutic strategies.
Six years mortality associated with living alone and loneliness in Swedish men and women born in 1930
Authors: Novak Masuma , Waern Margda , Johansson Lena , Zettergren Anna , Ryden Lina , Wetterberg Hanna , Sterner Therese Rydberg , Fässberg Madeleine Mellqvist , Gudmundsson Pia , Skoog Ingmar 
Published: October 2022

Abstract
Background
This study examined how living alone and loneliness associate with all-cause mortality in older men and women.
Methods
Baseline data from the Gothenburg H70 Birth Cohort Studies, collected on the 1930 birth cohort during 2000 (70-year-olds) and 2005 (new recruits, 75-year-olds) were used for analyses (N = 778, 353 men, 425 women). Six-year mortality was based on national register data.
Results
At baseline, 36.6% lived alone and 31.9% reported feelings of loneliness. A total of 72 (9.3%) participants died during the 6-year follow-up period. Cumulative mortality rates per 1000 person-years were 23.9 for men and 9.6 for women. Mortality was increased more than twofold among men who lived alone compared to men living with someone (HR 2.40, 95% CI 1.34–4.30). Elevated risk remained after multivariable adjustment including loneliness and depression (HR 2.56, 95% CI 1.27–5.16). Stratification revealed that mortality risk in the group of men who lived alone and felt lonely was twice that of their peers who lived with someone and did not experience loneliness (HR 2.52, 95% CI 1.26–5.05). In women, a more than fourfold increased risk of mortality was observed in those who experienced loneliness despite living with others (HR 4.52, 95% CI 1.43–14.23).
Conclusions
Living alone was an independent risk factor for death in men, and mortality was doubled in men who lived alone and felt lonely. In contrast, mortality was particularly elevated in women who felt lonely despite living with others. Gender needs to be taken into account when considering the health consequences of living situation and loneliness.
A population-based survey of FBN1 variants in Iceland reveals underdiagnosis Marfan syndrome
Authors: Sulem Patrick , Arnadottir Gudny , Jensson Brynjar , Jonasdottir Adalbjorg , Katrinardottir Hildigunnur , Fridriksdottir Run , Jonasdottir Aslaug , Sigurdsson Asgeir , Gudjonsson Sigurjon , Jonsson Jon , Stefansdottir Vigdis , Danielsen Ragnar , Palsdottir Astridur , Jonsson Hakon , Helgason Agnar , Magnusson Olafur , Thorsteinsdottir Unnur , Björnsson Hans , Stefansson Kari , Klemenzdottir Elin 
Published: October 2022

Abstract

Marfan syndrome is an autosomal dominant condition characterized by aortic aneurysm, skeletal abnormalities, and lens dislocation, and is caused by mutations in the FBN1 gene. To explore causes of Marfan syndrome and the prevalence in Iceland we collected samples and information from all living individuals with a clinical diagnosis of Marfan syndrome in Iceland (n = 35) and performed whole-genome sequencing of those who did not have a confirmed genetic diagnosis. Moreover, to assess a potential underdiagnosis of Marfan syndrome in Iceland we attempted a genotype-based approach for identifying individuals with Marfan syndrome. We interrogated deCODE genetics’ database of 35,712 whole-genome sequenced individuals to search for rare sequence variants in FBN1. Overall, we identified 15 pathogenic or likely pathogenic variants in FBN1 in 41 living individuals, only 22 of whom were previously diagnosed with Marfan syndrome. The most common of these variants, NM_000138.4:c.8038C > T (p.Arg2680Cys), is present in a multi-generational pedigree, and was found to stem from a single forefather born around 1840. The p.Arg2680Cys associates with a form of Marfan syndrome that seems to have an enrichment of abdominal aortic aneurysm, suggesting that this may be a particularly common feature of p.Arg2680Cys-associated Marfan syndrome. Based on these combined genetic and clinical data, we estimate a Marfan syndrome prevalence of at least 1/6,000 in Iceland, compared to 1/10,000 based on clinical diagnosis alone, which indicates underdiagnosis of this actionable genetic disorder.
Aβ42 treatment of the brain side reduced the level of flotillin from endothelial cells on the blood side via FGF-2 signaling in a blood-brain barrier model
Authors: Nakamura Tomohisa , Hashita Tadahiro , Chen Yuxin , Gao Yuan , Sun Yan , Islam Sadequl , Sato Hiroyuki , Shibuya Yasuyuki , Zou Kun , Matsunaga Tamihide , Michikawa Makoto 
Published: October 2022

Abstract

Our previous study showed that the flotillin level is decreased in the blood of patients with Alzheimer’s disease (AD) when compared to that of patients with non-AD and vascular dementia; however, the molecular mechanism remains to be determined. In this study, to elucidate whether Aβ accumulation in the brain has an effect on the blood flotillin level, we used our previously established blood-brain barrier (BBB) culture model using microvascular endothelial cells obtained from human induced pluripotent stem cells (iBMECs) and astrocytes prepared from rat cortex. In this BBB model with iBMECs plated on the upper compartment (blood side) and astrocytes plated on the lower compartment (brain side), the trans-endothelial electrical resistance values are high (over 1,500 Ωm2) and stable during experiments. We found that the addition of Aβ42 (0.5 and 2 µM) to the brain side significantly reduced the level of flotillin secreted by iBMECs on the blood side. The level of basic fibroblast growth factor (FGF-2) in the brain side was significantly reduced by Aβ42 treatment, and was accompanied by a reduction in the level of phosphorylation of the fibroblast growth factor receptor in iBMECs. The brain-side Aβ42 treatment-induced reduction of flotillin secretion into the blood side was restored in a dose-dependent manner by the addition of FGF-2 into the brain side. These results indicated that Aβ accumulation in the brain side reduced FGF-2 release from astrocytes, which attenuated FGF-2-mediated iBMECs signaling via the FGF-2 receptor, and thereby reduced flotillin secretion from iBMECs on the blood side. Our findings revealed a novel signaling pathway crossing the BBB from the brain side to the blood side, which is different from the classical intramural periarterial drainage or lymphatic-system-to-blood pathway.
DeepHCoref: A Deep Neural Coreference Resolution for Hindi Text
Authors: Lata Kusum , Singh Pardeep , Dutta Kamlesh 
Published: October 2022

Abstract
Coreference Resolution is the process of detecting a cluster of mentions that point to the same entity. The Coreference Resolution will enhance the performance of numerous Natural Language Processing (NLP) applications viz. Machine Translation, Question Answering, Chatbots, Text Summarization, etc. The state-of-the-art Coreference Resolution model for Hindi is based on a Rule-based and machine learning approach. This paper presents the Coreference Resolution system for Hindi based on Bi-GRU-CNN and Biaffine classifier with IndicBERT and MuRIL BERT. According to our knowledge, the first Coreference resolution system based on deep learning is developed, particularly for Hindi. The motivation behind this is the scarcity of resources available for Hindi and to diminish the dominion of hand-crafted features used by the previous Coreference resolution model in the Hindi language and present a new state-of-the-art Coreference Resolution model for Hindi. The coreference annotated dataset is used for the Hindi language, containing 3.6K verbalizations and 78K tokens from the news article domain. There is a lot of work done in this field for English, but minimal amount of work is presented in Hindi. The experimental results received are commendable regarding the Precision, Recall, and F-measure.