bluuebunny/crossref_metadata_2025_split huggingface dataset:
Encoding Ordered Complexity to Covalent Organic Frameworks
Authors: Zhao Yingbo , Wei Lei , Hai Xinyue , Xu Tongtong , Wang Zidi , Jiang Wentao , Jiang Shan , Wang Qisheng , Zhang Yue-Biao 
Published: December 2023

Abstract
Installing different chemical entities onto crystalline frameworks with well-defined spatial distributions represents a viable approach to achieve ordered and complex synthetic materials. Herein, a covalent organic framework (COF-305) was constructed from tetrakis(4-aminophenyl)methane and 2,3-dimethoxyterephthalaldehyde, which has the largest unit cell and asymmetric unit among known COFs. The ordered complexity of COF-305 is embodied by nine different stereoisomers of its constituents showing specific sequences on topologically equivalent sites, which can be attributed to its building blocks deviating from their intrinsically preferred simple packing geometries in their molecular crystals to adapt to the framework formation. The insight provided by COF-305 supplements the principle of reticular chemistry from the perspective of non-covalent interactions and opens opportunities for pursuing complex chemical sequences in molecular frameworks.
Natural ecosystems outperform agricultural lands in global soil nitrogen retention
Authors: Gu Baojing , Yang Fei , Li Yiqun , Wang Yiling , Zhao Kankan , Song Xinwei , Xu Jianming , Ma Bin 
Published: December 2023

Abstract

Nitrogen (N) is a vital nutrient essential for both soil microbiota and plant growth. The intersection of climate change and human activities has increased N inputs, leading to notable N losses that have concerning effects on human health. It is widely recognized that soils can retain large amounts of N. Therefore, understanding the global patterns of N cycling, influenced by regional environmental variations, is crucial for estimating soils' N retention abilities. In this paper, we analyzed 2,039 soil metagenomic samples to map out N cycling processes worldwide and revealed significant differences in N cycling among various ecosystems. Remarkably, natural ecosystems, especially grasslands, showed a much higher potential to retain soil N than agricultural lands. Moreover, natural ecosystems provided more consistent predictions of potential N retention relative to total soil N than agricultural systems. This divergence might be due to disruptions caused by intensive farming, which can lead to ecological imbalance in cultivated areas. These insights highlight the urgent need for global sustainable farming practices, aligning agricultural goals with ecosystem health.
Ecological Zoning of the World – An Evolving Approach based on the Holdridge Life Zones
Authors: Audebert Philip , Milne Eleanor , Schiettecatte Laure Sophie , Dionisio Daniel , Sinitambirivoutin Maidie , Pais Carolina , Proença Clara , Bernoux Martial 
Published: December 2023

Abstract

For the first time, at COP28 countries will convene to take stock of their collective progress towards achieving the Paris Agreement and its long-term goals. Parties are expected to update their climate change mitigation commitments using a standardized methodology based on best available science. To report on Greenhouse Gas (GHG) emissions from the Agriculture Forestry and Other Land Use sector, nations rely on data related to land use/management, climate, and soil type. Where such data is unavailable, the Intergovernmental Panel on Climate Change (IPCC) provides a set of default factors, based on an extensive literature review of likely GHG emission factors and carbon stock changes disaggregated by the Food and Agriculture Organization’s Global Ecological Zones. The current study proposes a new globally consistent ecological zoning approach based on Holdridge’s life zones (HLZ) using climatic data from the Climate Research Unit of East Anglia University on a 0.5° grid, which tackles certain limitations found in the existing guidance provided by IPCC. A set of three global ecological zone maps based on HLZs were devised using increasing levels of aggregation, which could be particularly useful in studies of global environmental change, specifically climate change and used as a zoning approach by IPCC.
Magnesium isoglycyrrhizinate regulates oxidative stress and apoptosis via PI3K/AKT1 pathway to improve myocardial remodeling in mice
Authors: Qian Kai , Zhou Xingyu , Fu Dan , Shi Jia , Sun Saige , Li Lei 
Published: December 2023

Abstract

The role of magnesium isoglycyrrhizinate (MgIG) in myocardial remodeling is being investigated. We evaluated the result of MgIG on isoproterenol (ISO) -enticed myocardial remodeling in mice by activating the PI3K/AKT1 pathway. The heart function of mice was tested by echocardiography, and it was found that MgIG could improve the left ventricular function. Pathological staining analysis showed that MgIG could decrease the degree of myocardial injury caused by ISO. The serum data detected by ELISA showed that MgIG could reduce the content of CK-MB, MDA and LDH, and increase the activity of GSH-Px. Western blotting showed that the protein expressions of Collagen Ⅰ, BNP, Bax, Cleaved caspase-3, p-PI3K and p-AKT1 were decreased, while the protein expressions of Bcl-2, COX2 and SOD1 were increased. Meanwhile activation of the PI3K activator (740Y-P) reverses the cardioprotective effect of MgIG. These findings suggest that the myocardial remodeling induced by ISO could be improved by MgIG, and its mechanism may be associated with inhibite PI3K/AKT1 pathway to regulate apoptosis and oxidative stress.
Three new species of Nothoscordum (Amaryllidaceae) from the Campos eco-region of the Grassland Ecosystems of Río de la Plata, Southeast South America
Authors: Deble Leonardo Paz , Moreira Bárbara Pinheiro , Keller Héctor Alejandro 
Published: December 2023

Abstract
Three new species of Nothoscordum are described: Nothoscordum elongatum Deble & B.P.Moreira, Nothoscordum parvum Deble & B.P.Moreira and Nothoscordum urutauense Deble & H.A.Keller. Nothoscordum elongatum and N. parvum grow in central-eastern Rio Grande do Sul state, while N. urutauense is narrowly endemic in southern Misiones Province, northeast Argentina. The three new taxa are characterized by their strong alliaceous smell, pilose leaves and scapes, and one or two-flowered inflorescence. Nothoscordum elongatum is segregated from Nothoscordum marchesii by its densely pilose leaves and scapes (vs. glabrous leaves and scapes), flowers with longer pedicels and ovaries with fewer ovules per locule. Nothoscordum parvum is similar to N. modestum and N. urutauense; however, can be readily separated from both species by its bulbs with bulbils surronding the main bulb, by its narrowly infundibuliform flowers, fused towards the base for 1.8–2.2 mm and by its scapes erect at fruit maturity. Nothoscordum urutauense differs from N. inundatum by its broader leaves, by its flowers with tepals fused at the base for 0.5–1 mm, and by its free filaments at base. These three species of Nothoscordum are described, illustrated, compared with morphologically similar taxa, and featured with their geographic distribution.
The Rohingya Refugee Crisis in Bangladesh: Assessing the Impact on Land Use Patterns and Land Surface Temperature Using Machine Learning
Authors: Ahmed Faishal , Alam Siam , Saha Ovi Ranjan , Rahman Afeefa 
Published: December 2023

Abstract

Bangladesh, a third-world country with the 7th highest population density in the world, has always struggled to ensure its residents' basic needs. But in recent years, the country is going through a serious humanitarian and financial crisis that has been imposed by the neighboring country Myanmar which has forced the government to shelter almost a million Rohingya refugees in less than 3 years (2017–2020). The government had no other option but to acquire almost 24.1 km2 of forest areas only to construct refugee camps for the Rohingyas which has led to catastrophic environmental outcomes. This study has analyzed the land use and land surface temperature pattern change of the Rohingya camp area for the course of 1997 to 2022 with a 5 years interval rate. Future prediction of the land use and temperature of Teknaf and Ukhiya was also done in this process using a Machine Learning algorithm for the years 2028 and 2034. The analysis says that in the camp area, from 1997 to 2017 percentage of settlements increased from 5.28–11.91% but in 2022 it reached 70.09%. The same drastically changing trend has also been observed in the land surface temperature analysis. In the month of January, the average temperature increased from 18.860 C to 21.310 C between 1997 and 2017. But in 2022 it was found that the average temperature had increased up to 25.940 C in only a blink of an eye. The future prediction of land use also doesn’t have anything pleasing in store.
Introgression of tetraploid Thinopyrum elongatum 6EL segments enhances the stripe rust resistance of adult wheat plants
Authors: Zeng Chunyan , Li Liangxi , He Zaimei , Zhu Wei , Xu Lili , Cheng Yiran , Wang Yi , Zeng Jian , Fan Xing , Sha Lina , Zhang Haiqin , Chen Guoyue , Zhou Yonghong , Wu Dandan , Kang Houyang 
Published: December 2023

Abstract

Preventing the widespread occurrence of stripe rust in wheat largely depends on the identification of new stripe rust resistance genes and the breeding of cultivars with durable resistance. We obtained a wheat–tetraploid Thinopyrum elongatum 6E (6D) substitution line and determined that chromosome 6E contains genetic material conferring superior resistance to stripe rust at the adult stage. In this study, three novel wheat–tetraploid Th. elongatum translocation lineswere generated from the offspring of a cross between common wheat and the 6E (6D) substitution line. Genomic in situ hybridization (GISH), fluorescence in situ hybridization chromosome painting (FISH painting), repetitive sequential FISH, and 55K SNP analyses indicated that K227-48, K242-82, and K246-6 contained 42 chromosomes and were 6ES·6DL, 2DL·6EL, and 6DS·6ELtranslocation lines, respectively. The assessment of stripe rust resistance revealed that K227-48 was susceptible to a mixture of Pst races, whereas the 6EL lines K242-82 and K246-6 exhibited adult plant resistance to stripe rust. Thus, this resistance was due to the 6EL chromosome. The overall good agronomic performance of K246-6 implies this line may be a useful germplasm resource for wheat breeding programs. Furthermore, 34 PCR-based markers for chromosome 6EL were developed using the whole-genome sequence of diploid Th. elongatum. This novel translocation line may be applicable for breeding wheat lines resistant to stripe rust. Additionally, themarkers developed in this study will enablethe accurate tracing of tetraploid Th. elongatum chromosome 6E and the mapping of additional favorable genes on 6EL.
The impact of acute and prior SARS-CoV-2 infection on maternal and neonatal outcomes in pregnant women: a single-center retrospective cohort study
Authors: Tang Yujie , Chen Liang , Han Tao , Hu Cuixia , Li Pan , Tang Jing , Li Aiyuan , Peng Xianglian , Zhang Jie 
Published: December 2023

Abstract

Background
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection during pregnancy have an adverse impact on perinatal outcomes, including cesarean section, preterm birth, fetal distress. However, it’s uncertain whether these adverse consequences are caused by acute viral infection or post-acute impact of viral infection.
Methods
We conducted a single-center retrospective cohort study among pregnant women with singleton pregnancy who delivered between 1 December 2022 and 1 February 2023 (n = 2472). The clinical data for mothers and neonates came from medical records on internal healthcare system. Follow-up time spanned from admission to discharge. We investigated the impact of acute and prior SARS-CoV-2 infection on maternal and neonatal outcome. Multivariable logistic models were used to assess the risk of adverse perinatal outcome in pregnant women with acute and prior SARS-CoV-2 infection.
Results
Compared to the non-infected pregnant women, acute SARS-CoV-2 infected pregnant women had significant higher rates of intrahepatic cholestasis of pregnancy (ICP) (26 women [4.4%] vs. 8 women [1.0%]; aOR, 4.9 [95% CI, 2.2–11.0]; P < 0 .001), preterm birth (༜37 wk) (53women [9.0%] vs. 45 women [5.7%]; aOR, 1.7 [95% CI, 1.1–2.7]; P < 0.05), fetal distress(106 women [18.1%] vs. 82 women [10.4%]; aOR,1.9 [95% CI, 1.4–2.6]; P < 0 .01), first-cesarean section (216 women [36.9%] vs. 239women [30.3%]; aOR, 1.4[95% CI, 1.1–1.8]; P < 0.01) and neonatal unit admission (69 neonates [12%] vs. 64 neonates [8.3%]; aOR, 1.6 [95% CI, 1.1–2.3]; P < 0.05), prior SARS-CoV-2 infection were associated with an increased risk of ICP (40 women [3.7%] vs. 8 women [1.0%]; aOR, 3.9 [95% CI, 1.8–8.5]; P < 0 .001).
Conclusions
Pregnant women with acute SARS-CoV-2 infection was associated with higher risk of ICP, preterm birth, fetal distress, first-cesarean section and neonatal unit admission. Prior SARS-CoV-2 infection in pregnant women was associated with higher risk ICP. These findings emphasize the need for optimization of strategies for prevention of SARS-CoV-2 infection in pregnant women, especially for acute infection at delivery.
Lung Cancer Awareness Among Lebanese General Population: A Cross-Sectional Study
Authors: Hmeidan Mariam , Salameh Pascale , Awada Sanaa , Ajrouche Roula 
Published: December 2023

Abstract
Background
Lung cancer is a significant contributor to mortality worldwide, with an expected further increase in its incidence in the upcoming years, particularly in low- and middle-income countries. The aim of this study was to assess the level of lung cancer awareness among the Lebanese general population using the Lung Cancer Awareness Measurement (LCAM) tool.
Methods
An online-based, self-administered questionnaire was completed by 410 participants all over Lebanon. A validated LCAM tool comprising recall and recognition questions was used to assess participants’ awareness of lung cancer. Multivariate analysis using Generalized Linear model and post-hoc analysis were performed after assessing validity and reliability of the scale.
Results
Only 13.7% correctly recognized age-related lung cancer risk, while 60.7% thought age was unrelated. Warning signs were poorly recalled, with persistent cough being the most remembered (58%), and coughing up blood being highly recognized (87.8%). Participants struggled to recognize persistent shoulder pain (28.7%) and finger/nail changes (29.51%) as possible warning signs of lung cancer. Multivariate analysis showed that governorates, educational level, and occupation significantly affected warning signs-scores. Post-hoc analysis revealed that people residing in Bekaa scored approximately two times lower warning sign recognition scales compared with participants residing in Beirut, Mount Lebanon, and North Lebanon. Postgraduates and medical field workers were able to recognize symptoms compared to others, with the latter scoring higher recall scales as well. Smoking was the most recalled and recognized risk factor (82% and 95.6%). Females, postgraduates, and medical workers showed higher risk factor recognition. While 75% were willing to seek medical attention for lung cancer suspicion, 58% lacked confidence in identifying warning signs.
Conclusion
Despite positive proactive approach toward seeking medical attention, insufficient warning signs awareness along with low confidence in identifying lung cancer hinders early diagnosis. Extensive awareness campaigns focusing on age-related misconceptions, warning signs, and risk factors hold immense promise for improved therapeutic outcomes.
Gimatecan regulates the death receptor signaling by autophagic lysosomal homeostasis and promotes cardia cancer cell death
Authors: Li Bo , Li Siying , Yan Chao 
Published: December 2023

Abstract
Gastric cardia cancer(GCC)is a common digestive tract tumor with a low cure rate and ineffective treatment drugs. Camptothecin (CPT) compounds showed good therapeutic effect in the treatment of gastric cancer. Gimatecan, synthesized as a camptothecin-derived compound, has entered the clinic and demonstrated an excellent therapeutic effect in treating gastric tumors. However, whether it has a curative effect on gastric cardia tumors is still unclear. In this study, the pro-apoptotic effect of gimatecan on gastric cardia cancer was investigated in vitro by isolating primary human cardia cancer cells: gimatecan can effectively induce cell DNA damage in the cardia cancer cells. The results showed that lysosomal protease D leakage, caspase3 activation, and mitochondrial membrane potential changes in primary cardia cancer cells exposed to gimatecan damaged lysosomal integrity, blocked the binding of autophagy products to lysosomes, disrupted the homeostasis of autophagy lysosomal system, and increased apoptosis of cardia cancer cells. When gimtecan acted on cardia cancer cells, the specific protective autophagy occurred, and the expression of autophagy regulatory protein TP53INP2 increased, this protein promoted autophagy in LC3-ATG7 interaction. Although protective autophagy of cardia cancer cells increased during the gimatecan intervention, gimatecan still showed a significant pro-apoptotic effect on cardia cancer. Through the GFP-Cherry-LC3 validation system, we found that gimatecan promoted the death of cardia cancer cells by blocking autophagosome-lysosome fusion. This effect may be due to the inhibition of lysosomal clearance of autophagy products through the release of targeted lysosomal cathepsin D, the impaired lysosome results in the failure of the autophagy and lysosome to fuse normally, and the downstream flux of autophagy is inhibited. In summary, these data provide us with new insights into the therapeutic effect of gimatecan on cardia cancer, and gimatecan, a camptothecin analogue, is expected to be a potential candidate for the treatment of cardia cancer.
Oxidative Stress and Diabetic Retinopathy: Evidence from Epidemiological Studies
Authors: Liu Xiangliang , Chang Yu , Li Yuguang , Liu Yingrui , Song Wei , Lu Jin , Chen Naifei , Cui Jiuwei 
Published: December 2023

Abstract

Background Previous studies have suggested oxidative stress may play a key role in the pathogenesis of diabetic retinopathy, while evidence from observational studies directly linking oxidative biomarkers to clinically relevant outcomes has been limited. This study aims to investigate the association between an integrated oxidative balance score (OBS) and risk as well as severity of diabetic retinopathy.Methods National Health and Nutrition Examination Survey (NHANES) participants between 2005–2008 were included and the weighted logistic regression model based on digital imaging of the retina was utilized to investigate the association between OBS and retinopathy. The multifactorial Cox regression model was developed to explore the correlation between OBS and all-cause mortality among individuals with diabetic retinopathy.Results In the adjusted multifactorial logistic regression model, participants in the top OBS quartile demonstrated a 25% lower risk of diabetic retinopathy compared to those in the bottom quartile (OR 0.75, 95%CI 0.57–0.99, P = 0.041). In the multifactorial Cox regression model, among those with diabetic retinopathy in the top OBS quartile exhibited a 51% lower risk of mortality compared to those in the bottom quartile (HR 0.49, 95%CI 0.32–0.74, P < 0.001).Conclusion Our study suggests that higher cumulative antioxidant exposure assessed by OBS is associated with a reduced risk and severity of diabetic retinopathy in U.S. adults.
Measuring responsiveness and mistreatment in maternity care in sub-Saharan Africa: a questionnaire validation and development of a score
Authors: Morris Zoë , Halabi Soha El , Hanson Claudia , Kandeya Bianca , Ayebare Elizabeth , Houngbo Gisele , Månsson Anastasia , Al-Beity Fadhlun Alwy , Annerstedt Kristi Sidney 
Published: December 2023

Abstract
Introduction: Mistreatment and abuse are still experienced by women during hospital childbirth in many parts of the world, with sub-Saharan Africa being one of the places where it is most common. Interventions aiming to improve respectful maternity care must be able to assess the prevalence of responsiveness and mistreatment women experience. This is usually done with questionnaires, though these are not always validated. Scores to represent the level of responsiveness and mistreatment experienced have many uses and can be created from questionnaire results, though no score is consistently used in this field. A new questionnaire measuring responsiveness and mistreatment was developed for use in the ALERT (“Action leveraging evidence to reduce perinatal mortality and morbidity in sub-Saharan Africa”) study, as a questionnaire covering both of these concepts did not previously exist. This study aimed to validate this questionnaire and to create a scoring method. Methods: Psychometric analyses, including exploratory and confirmatory factor analysis, were performed on data collected from the ALERT project to identify and confirm underlying factors. Using these factors, simple summation and factor-weighted methods were used to create scores and their results compared. Results: Six factors were identified: “Communication & supportive care”, “Hospital environment”, “Respect & dignity”, “Social support”, “Privacy & confidentiality” and “No normalised abuse”. The results of the two scoring methods developed were similar. Conclusions: The responsiveness and mistreatment questionnaire has high validity in the ALERT study population for the six factors identified. The two scoring methods developed are useful for many aspects of the ALERT intervention, including to facilitate comparisons and measure progress towards improving respectful maternity care.
Evaluation method of college students' psychological quality of innovation and entrepreneurship based on big data analysis
Authors: Guo Haina 
Published: December 2023

Abstract
In the process of innovation and entrepreneurship, college students have different degrees of psychological problems due to the influence of market environment and their level of professional knowledge. In order to accurately evaluate the psychological quality of college students' innovation and entrepreneurship, an evaluation method of college students' psychological quality of innovation and entrepreneurship based on big data analysis is proposed. The historical information data and real-time data flow of college students’ psychological quality of innovation and entrepreneurship in the data source are collected, and the association rule feature extraction method in big data analysis technology is used to fuse the collected data, and complete the preprocessing, then the preprocessed data are stored in the database. According to the construction criteria of the indicator system, the sick indicator cycle analysis method in big data analysis technology is used to build the evaluation indicator system of college students' psychological quality of innovation and entrepreneurship, and the evaluation model of college students' psychological quality of innovation and entrepreneurship is built by combining the self-organization feature mapping neural network. The experimental results show that the information contribution rate of the evaluation indicator system of this method is higher than 95%, and the accuracy rate of the evaluation result is higher than 98%, which can effectively and accurately evaluate the psychological quality of college students' innovation and entrepreneurship.