bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated quantitative bibliometric and in-depth qualitative content analysis of global biodegradable liquid mulching film research: Progress, hotspots and prospect
Authors: Zhang Jun-Ping , Yang Zhe , Hou Jia-Qi , Xi Bei-Dou , Li Mingxiao , Wei Yu-Fang , Chen Wang-Mi , Yang Tian-Xue 
Published: November 2022

Abstract
Biodegradable liquid mulching film (LMF) as a new alternative to alleviate the agricultural plastic pollution has attracted increasing attentions for sustainable development of agriculture, especially in China. However, the global research status and knowledge gaps of LMF are still unclear despite expanding academic literatures, hindering its promotion. Here, a data-driven analysis integrating the advantages of bibliometric visualization technology and content analysis was firstly conducted to present an objective and comprehensive overview of LMF at global level. A total of 467 English and Chinese literatures were analyzed to elucidate its global development history, research hotspots, and future research directions. The studies on LMF have increased over time but are still nascent, and Italy and China are the most productive and influential countries with the most influential institutions and authors. The research hotspots have shifted from exploitation of LMF using natural and waste bio-based polymers and synthetic polymers (1998–2005) to plant cultivation effectiveness evaluation (2006–2021) and impact assessment of soil ecosystem (2016–2021). However, studies on the standards establishment, performance improvement, response of soil microbial to LMF mulching, degradation mechanisms, and its long-term effects on agroecosystem are still insufficient and of great significance for the future study. This study offers critical information and guidance to promote the development and application of LMF.
The important role of the interaction between manganese minerals and metals in environmental remediation: A review
Authors: Chen Meiqing , Wu Jiayan , Qiu Xiaoshan , Jiang Lu , Wu Pingxiao 
Published: November 2022

Abstract
With illegal discharge of wastewater containing inorganic and organic pollutants, combined pollution is common and need urgent attention. Understanding the migration and transformation laws of pollutants in the environment has important guiding significance for environmental remediation. Due to the characteristics of adsorption, oxidation and catalysis, manganese minerals play important role in the environment fate of pollutants. This review summarizes the forms of interaction between manganese minerals and metals, the environmental importance of the interaction between manganese minerals and metals, and the contribution of this interaction in improving performance of Mn-based composite for environmental remediation. The literatures have indicated that the interactions between manganese minerals and metals involve in surface adsorption, lattice replacement and formation of association minerals. The synergistic or antagonistic effect resulted from the interaction influence the purification of heavy metal and organism pollutant. The synergistic effect benefited from the coordination of adsorption and oxidation, convenient electron transfer, abundant oxygen vacancies and fast migration of lattice oxygen. Based on the synergy, Mn-based composites have been widely used for environmental remediation. This review is helpful to fully understand the migration and transformation process of pollutants in the environment, expand the resource utilization of manganese minerals for environmental remediation.
Cytosolic DNA sensing combined with differentiation therapy induces irreversible differentiation and cell growth arrest in myeloid leukemia cells
Authors: Baba Tomohisa , Tomaru Utano , Hirao Atsushi , Mukaida Naofumi , Johmura Yoshikazu 
Published: November 2022

Abstract
Accumulating evidence indicates that various oncogenic mutations interfere with normal myeloid differentiation of leukemogenic cells during the early process of acute myeloid leukemia (AML) development. Differentiation therapy is an ideal therapeutic strategy capable of terminating leukemic expansion by reactivating the differentiation potential; however, the plasticity and instability of leukemia cells counteract the establishment of curative treatment for AML. Thus, the viable strategy for irreversible differentiation is urgently required. Based on our previous observation that autophagy inhibitor treatment induces the accumulation of cytosolic DNA and activation of cytosolic DNA-sensor signaling selectively in leukemia cells, we herein examined the synergistic effect of cytosolic DNA-sensor signaling activation with conventional differentiation therapy on AML. The combined treatment with autophagy inhibitors and conventional differentiation therapy succeeded in inducing irreversible differentiation in AML cells. Mechanistically, cytosolic DNA was sensed by absent in melanoma 2 (AIM2), a cytosolic DNA sensor. Activation of the AIM2 inflammasome resulted in the accumulation of p21 through the inhibition of its proteasomal degradation, thereby facilitating the myeloid differentiation. Moreover, p21 shRNA treatment abrogated the combined treatment-induced irreversible differentiation of leukemia cells. Importantly, short-term treatment with the combined therapy was sufficient to induce irreversible differentiation and dramatically reduced the total leukemia cell counts and proportion of blast cells in the spleens of AML mice. Collectively, these findings indicate that the activation of cytosolic DNA-sensor signaling in combination with conventional differentiation therapy can be an effective approach to drive the irreversible differentiation of leukemia cells.
Time trends and geographical clusters in suicide among Greenland Inuit
Authors: Seidler Ivalu Katajavaara , Tolstrup Janne Schurmann , Bjerregaard Peter , Crawford Allison , Larsen Christina Viskum Lytken 
Published: November 2022

Abstract

Background Between 1980 and 2018 Greenland has had one of the highest suicide rates in the world with an average rate of 96 suicides per 100.000 person-years. The aim of this study is to investigate suicide rates in Greenland according to age, birth cohort, period, sex, place of residence and suicide method from 1970 until 2018. Methods Suicide rates were examined using register and census data from 1970-2018 among Greenland Inuit. Rates were calculated by Poisson regression in Stata and by use of Excel. In analyses of the period trends, rates were standardized according to the World Standard Population 2000-2025. Results The suicide rate has been declining since a peak at 120 suicides per 100,000 person-years in the 1980s but remained high at a rate of 81.3 suicides per 100,000 person-years from 2015-2018. Descriptive analyses point to the decrease in male suicides as the primary factor for the overall decreasing rates while the rate among women has been increasing. Simultaneously, the proportion of women who used a violent suicide method increased from 60% in 1970-1979 to 90% in 2010-2018. The highest rates are seen among young people, especially young men aged 20-24 years and youth suicide rates increased with later birth cohorts. When the rates started to increase in the 1908s both the capital Nuuk and East Greenland had the highest rates. Since then, the rate in Nuuk has declined while the rate in East Greenland was three times the national rate from 2015-2018. Conclusions Across a 50-year period the suicide rate has increased drastically in Greenland mirroring a rapid societal transition in the post-colonial period. The rate has slowly declined from the peak in the 1980s but remains at a very high level. Young people in general are at risk, but the steady increase in the rate among women is worrying. Research points to the importance of adverse childhood experiences in relation to suicide risk and the high prevalences of these adversities among women may contribute to the explanation of the decreasing gender gap, however there is a need to investigate this further.
Bio-augmentation of S2- oxidation for a heavily polluted river by a mixed culture microbial consortium
Authors: Song Chen , Shi Yajun , Gao Hongjie , Liu Ping , Liu Xiaoling 
Published: November 2022

Abstract
The balance of inorganic sulfur redox in heavily polluted rivers could be disrupted, making sulfur reduction a major metabolic pathway regulated by sulfate reducing bacterium (SRB), leading to massive accumulation of S2- and blackening of water bodies. In order to promote S2- oxidation, mixed culture with Citrobacter sp., Ochrobactrum sp. and Stenotrophomonas sp. was used to active native sulfur oxidizing bacterium (SOB) to augment S2- oxidizing process. The results demonstrated that mixed culture microbial consortium had significant sulfur oxidation effect, with 98% of S2- removal efficiency within 50 h. The sulfur chemical forms varied greatly with mixed culture bio-augmentation, and all the sulfides’ species were finally oxidized to SO42-. The mechanism involved was revealed using high throughput sequencing analysis. The microbial diversity indicated that mixed culture could stimulate and simplify the community structure, enabling native microorganisms cope with the sulfides change. Some microorganisms (family level) including Flavobacteriaceae, Enterococcaceae, Sphingomonadaceae, Cryomorphaceae, Rhodobacteraceae, Campylobacteraceae, Burkholderiaceae, Comamonadaceae, Alcaligenaceae, Methylophilaceae, Bacteriovoracaceae and Caulobacteraceae were thought to be associated with sulfides metabolism and their abundance appeared significant difference in two treatments. Further pearson correlation analysis was performed to determine the role played by different strains at different times. This work demonstrated that the mixed culture might have the potential to be used to promote S2- oxidation and clarify water in the heavily polluted rivers.
Prediction of whole body composition utilizing cross-sectional abdominal imaging in pediatrics
Authors: Deyell Rebecca , Desai Sunil , Gallivan Andrea , Lim Alecia , Sawyer Michael , Heymsfield Steven , Shen Wei , Baracos Vicky 
Published: November 2022

AbstractBackground:Although body composition is an important determinant of pediatric health outcomes, we lack tools to routinely assess it in clinical practice. We define models to predict whole body skeletal muscle and fat composition, as measured by dual X-ray absorptiometry (DXA) or whole body magnetic resonance imaging (MRI), in pediatric oncology and healthy pediatric cohorts, respectively.Methods:Pediatric oncology patients (≥5 to ≤18 years) undergoing an abdominal CT were prospectively recruited for a concurrent study DXA scan. Cross-sectional areas of skeletal muscle and total adipose tissue at each lumbar vertebral level (L1-L5) were quantified and optimal linear regression models were defined. Whole body and cross-sectional MRI data from a previously recruited cohort of healthy children (≥5 to ≤18 years) was analyzed separately.Results:Eighty pediatric oncology patients (57% male; age range 5.1-18.4y) were included. Cross-sectional areas of skeletal muscle and total adipose tissue at lumbar vertebral levels (L1-L5) were correlated with whole body lean soft tissue mass (LSTM) (R2=0.896-0.940) and fat mass (FM) (R2=0.874-0.936) (p<0.001). Linear regression models were improved by the addition of height for prediction of LSTM (adjustedR2=0.946-0.971; p<0.001) and by the addition of height and sex (adjustedR2=0.930-0.953) (p<0.001)) for prediction of whole body FM. High correlation between lumbar cross-sectional tissue areas and whole body volumes of skeletal muscle and fat, as measured by whole body MRI, was confirmed in an independent cohort of 73 healthy children.Conclusion:Regression models can predict whole body skeletal muscle and fat in pediatric patients utilizing cross-sectional abdominal images.
Retention of absorbed fog by Pinus thunbergii saplings under different soil drought conditions
Authors: Imada Shogo , Kakiuchi Hideki , Nagai Masaru 
Published: November 2022

Abstract
Aim Efficient fog water utilization under soil drought conditions is important for improving the water status and growth of forest trees. However, the importance of fog water retention in tree species during drought is yet to be completely examined. The aim of this study was to examine changes in fog water retention in different organs of Japanese black pine (Pinus thunbergii) saplings in different drought conditions.
Methods P. thunbergii saplings were grown under different watering conditions in a glasshouse for 19 days and exposed to 2H-enriched water vapor under a high relative humidity (~ 95%) for 1 h in a growth chamber with lighting. The exposed trees were harvested 48 h after the fog exposure experiment and the 2H concentration of water in current needles, old needles, current branches, old branches, roots, and soil was determined.
Results Absorbed fog water was observed in the needles, branches, and roots 48 h after exposure to fog. The amount of water in the current needles, old needles, and current branches contributed by fog water was significantly higher in drought-stressed trees than in well-irrigated trees. Small amount of absorbed fog water was redistributed to the soil in well-irrigated and drought-stressed trees.
Conclusion The findings of the study indicated that more absorbed fog water is retained in drought-stressed trees than that in well-watered trees, which may improve plant water status under drought. Our results also suggest that hydraulic redistribution from the roots to the soil may occur irrespective of soil drought conditions.
Adapted and novel interventions are more effective than adopted interventions: a meta-analytic replication of controlled social intervention research across prevention level and setting
Authors: Olsson Tina , Schwarz Ulrica von Thiele , Hasson Henna , Vira Emily G , Sundell Knut 
Published: November 2022

Abstract

Background.Several approaches to the implementation of evidence-based interventions (EBIs) are currently in use. EBIs may be adapted or adopted from previous settings or novel interventions may be developed to achieve public health goals. Within the intervention and implementation literature, a major unsolved dilemma relates to the management of adaptation versus fidelity when EBIs are transferred between settings. An initial attempt to empirically understand this dilemma was made in 2015 which explored meta-analytically the origins of interventions and compared their effect sizes. It was found that adapted interventions produced the highest effect sizes followed by novel and adopted interventions. The current study attempts to replicate these findings using a larger data set.Methods.We used meta-analytic techniques to compare effect sizes across a population of Swedish efficacy and effectiveness studies. Interventions investigated were categorized into adapted, adopted, and novel interventions. Nine subcategories were explored. In addition, we explored differences in effect sizes between settings as well as the impact of study characteristics on effect size.Results.Of the 523 studies included, 22% described adapted interventions, 33% adopted interventions, and 45% novel interventions. The largest effect size was found for adapted interventions followed by novel and adopted interventions. Standard mean effects were significantly different from zero across categories. Study characteristics did not have a large impact on effect size, but interventions provided in the mental health setting showed the highest standard mean difference, followed by somatic healthcare and social services.Conclusions.The results reported here are in line with a growing body of evidence suggesting that there is a need to take the fit between the EBI and the context into account when implementing interventions.
Conservatively transmitted alleles of key agronomic genes provide insights into the genetic basis of founder parents in bread wheat (Triticum aestivum L.)
Authors: Li Chang , Zhuang Lei , Li Tian , Hou Jian , Liu Hongxia , Jian Chao , Li Huifang , Zhao Jing , Liu Yunchuan , Xi Wei , Hao Pingan , Liu Shujuan , Si Xuemei , Wang Xiaolu , Zhang Xueyong , Hao Chenyang 
Published: November 2022

Abstract
Background: Founder parents play extremely important roles in wheat breeding. Studies into the genetic basis of founder parents and the transmission rules of favorable alleles are of great significance in improving agronomically important traits in wheat.
Results: Here, a total of 366 founder parents, widely grown cultivars, and derivatives of four representative founder parents were genotyped based on efficient kompetitive allele-specific PCR (KASP) markers in 87 agronomically important genes controlling yield, quality, adaptability, and stress resistance. Genetic composition analysis of founder parents and widely grown cultivars showed a consistently high frequency of favorable alleles for yield-related genes. This analysis further showed that other alleles favorable for resistance, strong gluten, dwarf size, and early heading date were also subject to selective pressure over time. By comparing the transmission of alleles from four representative founder parents to their derivatives during different breeding periods, it was found that the genetic composition of the representative founder parents was optimized as breeding progressed over time, with the number and types of favorable alleles carried gradually increasing and becoming enriched. There are still a large number of favorable alleles in wheat founder parents that have not been fully utilized in breeding selection. Eighty-seven agronomically important genes were used to construct an enrichment map that shows favorable alleles of four founder parents, providing an important theoretical foundation for future identification of candidate wheat founder parents.
Conclusions: These results reveal the genetic basis of founder parents and allele transmission for 87 agronomically important genes and shed light on breeding strategies for the next generation of elite founder parents in wheat.
Perceptions and experiences on community work improvement teams: the case of community health units in Kasarani sub-county, Nairobi, Kenya
Authors: Ambalu Rachel , Atwa Saul , Otira Mariam , Ndolo Lucia , Ojakaa David , Macharia Judy 
Published: November 2022

Abstract
Background: In Kenya, guidelines have been developed and activities undertaken aimed at improving the quality of health services in health facilities and communities. These efforts could help in contributing to the country’s goal of the highest standards of health for citizens. Current research on the subject is limited to whether the novel idea is understood and its benefits. This study takes a deep emic dive to understand the dynamics of work improvement teams (WITs) in the case of five community units within Kasarani sub-county of Nairobi City County, Kenya.
Methods: Focus group discussions and key informant interviews were conducted with members of WIT. Interviews were recorded and transcribed, after which analysis conducted using NVIVO software was based on inductive coding.
Results: Participants vividly recollect core WIT training and implementation aspects in particular the power of teamwork, the mentoring role of community health assistants (CHAs), and community innovations. Appreciation of WIT training and implementation finds expression in warmer reception accorded mothers referred by community health volunteers (CHVs); more open sharing of health concerns due to the social nearness of CHVs to community members; community own-resource contributions. Members of work improvement teams share a sense of empowerment post-training and feel triumphant after winning in WIT competitions. Experiences of WIT members include championing roles such as the CHV as the health educator, the CHA as the captain, and the chief personifying Government’s effective presence in the community. Similarly, the experience of disconnections between the community and the formal health systems is evident in respondent narratives, as are gapping (identifying health problems in the community), and discussion steps during work improvement. Enabling factors for quality improvement through community work improvement teams include passion, commitment, and self-motivation as well as team household visits. Nevertheless, hurdles within and external to mother, CHV, and facility levels persist.
Conclusion: Respondents present fresh recalls, appreciations, and experiences on WIT training and implementation in Kasarani sub-county. These imply WIT efforts as inflection events propelling performance of community health units. The intervention should be scaled to other community health units and regions, considering enablers and challenges.
scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Authors: Boushehri Sayedali Shetab , Essig Katharina , Chlis Nikolaos Kosmas , Herter Sylvia , Bacac Marina , Theis Fabian , Glasmacher Elke , Marr Carsten , Schmich Fabian 
Published: November 2022

Abstract
Therapeutic antibodies are widely used to treat severe diseases. Most of them alter immune cells and act within the immunological synapse; an essential cell-to-cell interaction to direct the humoral immune response. Although many antibody designs are generated and evaluated, a high-throughput tool for systematic antibody characterization and prediction of function is lacking. Here, we introduce the first comprehensive open-source framework, scifAI (single-cell imaging flow cytometry AI), for preprocessing, feature engineering and explainable, predictive machine learning on imaging flow cytometry (IFC) data. Additionally, we generate the largest publicly available IFC data set of the human immunological synapse containing over 2.8 million images. Using scifAI, we analyze class frequency- and morphological changes under different immune stimulation. T cell cytokine production across multiple donors and therapeutic antibodies is quantitatively predicted in vitro, linking morphological features with function and demonstrating the potential to significantly impact antibody design. scifAI is universally applicable to IFC data, and, given its modular architecture, straightforward to incorporate into existing workflows and analysis pipelines, e.g., for rapid antibody screening and functional characterization.