bluuebunny/crossref_metadata_2025_split huggingface dataset:
The burden of depression among Indian adolescents: A study on cross-sectional data
Authors: Jha Ravi Prakash , Dhamnetiya Deepak , Bhattacharyya Krittika , Patel Priyanka , Shri Neha , Singh Mayank 
Published: June 2022

Abstract
Background: Depression has been identified as a leading cause of disability, and studies suggest that people who have experienced depression at a young age are more likely to have depression throughout their lives. This study aims to assess the prevalence and determinants of depression among adolescents in Bihar and Uttar Pradesh states of India which holds the majority of adolescents in the country.Method: We have utilized data from Understanding the Lives of Adolescents and Young Adults (UDAYA) survey which was conducted in Bihar and Uttar Pradesh among 10-19 years old in 2016. Descriptive statistics, Bivariate analysis and multinomial logistic regression analysis were used to fulfill the objective of this study. Results: Prevalence of depression was found to be higher among married female adolescents 49.6% (aged 15-19 years) in comparison to unmarried males 36% (10-19 years) and female adolescents 42.4% (10-19 years). Among adolescent males who ever seriously consider attempting suicide was 8.44 times (RR: 8.44; CI: 4.5-15.81) more likely to have minimal to mild depression and 22.74 times (RR: 22.72; CI: 7.74-66.7) more likely to have moderate to severe depression. Also, Adolescent males who were substance users were 2.35 times (RR: 2.35; CI: 1.24-4.43) more likely to have moderate to severe depression. Adolescent unmarried females who were not currently attending school was 39% more likely (RR: 1.39; CI: 1.06-1.83) to have moderate to severe depression; whereas adolescent unmarried females who ever attempt suicide was 42.21 times (RR: 42.21; CI: 26.39-67.51) more likely to have moderate to severe depression. For married adolescent females having premarital relationship (RR: 1.78; CI: 1.25-2.54), substance use in family (RR: 1.85; CI: 1.28-2.67), faced physical violence (RR: 1.59; CI: 1.09-2.34), faced emotional violence (RR: 1.93; CI: 1.31-2.82), faced dowry related abuse (RR: 3.33; CI: 2.43-4.57) and ever attempted suicide (RR: 56.85; CI: 26.57-121.66) were significant predictors of facing moderate to severe depression. Conclusion: Results highlight the need of targeting adolescents’ behaviour and depressive symptoms especially in rural areas. Further, this study raises the prevalent issues such as violence, lack of freedom, suicidal ideation which adversely impacts the mental health of adolescents and draws our attention towards the urgent need of addressed.
Early and off-season Biological control of Medfly with entomopathogenic nematodes: from laboratory experiments to successful field trials
Authors: Kapranas Apostolos , Chronopoulou Anna , Peters Arne , Antonatos Spyros , Lytra Ioanna , Milonas Panagiotis , Papachristos Dimitrios 
Published: June 2022

Abstract

The Mediterranean fruit fly Ceratitis capitata (Diptera; Tephrititade) is an important pest of citrus and other deciduous fruit trees. There is a need for sustainable pest management tools and the use of entomopathogenic nematodes have been explored for controlling the stages of medfly that occur in the soil. We have investigated further this approach by assessing the efficacy of commercially available entomopathogenic nematodes applied early on-season or off-season when the medfly populations are passing through their annual bottleneck period, aiming at reducing their population before the growing season. In laboratory experiments, the efficacy of commercial strains of Steinernema carpοcapsae, Steinernema feltiae and Heterοrhabditis bacteriοphοra and H. downesi at doses of (1.5 x 106 IJs/m2) and 2.5 x 106 IJs/m2, at 15C° and 25C° was assessed and Steinernema feltiae was found to result in up to 70% reduction of adult medfly emergence at a dose of 2.5 x 106 IJs/m2 and lower temperatures, confirming its superiority over other commercially available species. Further trials in citrus groves in Corinthos, Greece in Spring 2021 (early season) and Autumn 2021 (off-season) confirmed that a single application of S. feltiae at moderate dose regimes can provide about 62–65% suppression of adult medlfies. Therefore, a single, moderate dose application of entomopathogenic nematodes early or off-season, which is more economical feasible can provide significant suppression of overwintering medflies and can be safely integrated with other tools for medfly management.
Wolbachia infection dynamics in a natural population of the pear psyllid Cacopsylla pyri (Hemiptera: Psylloidea) across its seasonal generations
Authors: Serbina Liliya Štarhová , Gajski Domagoj , Malenovský Igor , Corretto Erika , Schuler Hannes , Dittmer Jessica 
Published: June 2022

Abstract
Wolbachia is one of the most abundant intracellular symbionts of arthropods and has profound effects on host biology. Wolbachia transmission and host phenotypes often depend on its density within the host, which can be affected by multiple biotic and abiotic factors. However, very few studies measured Wolbachia density in natural host populations. Here, we describe Wolbachia in the pear psyllid Cacopsylla pyri from three populations in the Czech Republic. Using phylogenetic analyses based on wsp and multilocus sequence typing genes, we demonstrate that C. pyri harbours three new Wolbachia strains from supergroup B. A fourth Wolbachia strain from supergroup A was also detected in parasitised immatures of C. pyri, but likely came from a hymenopteran parasitoid. To obtain insights into natural Wolbachia infection dynamics, we quantified Wolbachia in psyllid individuals from the locality with the highest prevalence across an entire year, spanning several seasonal generations of the host. All tested females were infected and Wolbachia density remained stable across the entire period, suggesting a highly efficient vertical transmission and little influence from the environment and different host generations. In contrast, we observed a tendency towards reduced Wolbachia density in males which may suggest sex-related differences in Wolbachia-psyllid interactions.
Classification of Materials and Medicines in Hospital Inventory Management: A Multi-Criteria Analysis
Authors: Assis Amanda G. , Santos Ana Flavia A. dos , Santos Lucas A. dos , Costa João F. , Souza Ricardo P. 
Published: June 2022

Abstract
Background: In hospital environment, to achieve an optimum level of operations and service, it is necessary to define adequate inventory control. Stocks can be managed, amongst other ways, through inputs classification, which is generally done based on a single criterion, such as monetary value, which does not encompass the nature and challenges of a hospital's inventory management. Thus, the present study aims to propose a multi-criteria decision support model to help classify the stock of materials and medicines at a university hospital in Natal-RN.Methods: Methodologically, the study followed 3 stages: i) preliminary; ii) modelling and choice; and iii) finalization, having within these stages specific steps that were followed. The first phase identified the actors of the process, objectives, criteria and alternatives, in which 5 criteria and 48 alternatives were established; the second phase was the choice and execution of the multicriteria decision method to solve the problem. We chose to use the Flexible and Interactive Tradeoff (FITradeoff) method for the classification problem. Finally, in the third phase, an analysis of the sensitivity of the developed model as well as validation of the results with decision makers was carried out.Results: From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed the robustness of the results.Conclusions: The classification of materials and medicines developed according to the reality of the stock made it possible to make purchasing decisions based on the perspectives of the presented model, optimizing the stock of materials and medicines at the university hospital. The proposed model can be used as a basis for the development of other multicriteria models considering multiple criteria simultaneously.
Newly reported chloroplast genome of Sinosenecio albonervius Y. Liu &amp; Q. E. Yang and comparative analyses with other Sinosenecio species
Authors: Peng Jing-Yi , Zhang Xiao-Shuang , Zhang Dai-Gui , Wang Yi , Huang Xian-Han , Kuang Tian-Hui , Deng Tao , Zhou Qiang 
Published: June 2022

Abstract
Background: Sinosenecio B. Nordenstam (Asteraceae) currently comprises 44 species. To investigate the interspecific relationship, several chloroplast markers, including ndhC-trnV, rpl32-trnL, matK, and rbcL, are used to analyze the phylogeny of Sinosenecio. However, the chloroplast genomes of this genus have not been thoroughly investigated. We sequenced and assembled the Sinosenecio albonervius chloroplast genome for the first time. A detailed comparative analysis was performed in this study using the previously reported chloroplast genomes of three Sinosenecio species.Results: The results showed that the chloroplast genomes of four Sinosenecio species exhibit a typical quadripartite structure. There are equal RNA genes among annotated, but total and protein-coding genes differ. Per genome, 49-56 simple sequence repeats and 99 larger repetitive sequences were identified. Thirty codons were identified as biased usage in the chloroplast genome of S. albonervius based on 54 protein-coding genes. Among 18 protein-coding genes, 46 potential RNA editing sites were discovered. By comparing these chloroplast genomes' structures, inverted repeat regions and coding regions were more conserved than single-copy and non-coding regions. The junctions among inverted repeat and single-copy regions showed difference. Several hot spots of genomic divergence were detected, which can be used as new DNA barcodes for species identification. Phylogenetic analysis of the whole chloroplast genome showed that the interspecific relationship of four Sinosenecio species could be reflected.Conclusions: The complete chloroplast genome of Sinosenecio albonervius was revealed in this study, which included a comparison of Sinosenecio chloroplast genome structure, variation, and phylogenetic analysis for related species. These will help future research on Sinosenecio taxonomy, identification, origin, and evolution to some extent.
Genome-Wide Editing Provides Insights into Role of Unsaturated Fatty Acids in Low Temperature Growth of the Psychrophilic Yeast Metschnikowia australis W7-5
Authors: Wei Xin , Zhang Miao , Chi Zhe , Liu Guang-Lei , Chi Zhen-Ming 
Published: June 2022

Abstract
It has been confirmed that Fad12 (∆12 fatty acid desaturase) and Fad15 (∆15 fatty acid desaturase) were responsible for the synthesis of linoleic acid (C18:2, ∆9,12) and linolenic acid (C18:3, ∆9,12,15), respectively. In order to know their function in cold growth of the psychrophilic yeast Metschnikowia australis W7-5, the FAD12 gene and FAD15 gene were deleted, respectively. The intracellular linoleic acid percentage of the obtained Δfad12 mutant was decreased from 27.1–1.5% while the percentage of C18:1 fatty acid was increased from 28.3–55.7%. The growth rate of the Δfad12 mutant was significantly reduced when it was cultured at 5 ℃ and 25 ℃ compared with that of the wild type strain W7-5 under the same conditions. But at 15°C, the mutant grew as well as its wild type strain W7-5. Although C18:3 fatty acid of the Δfad15 strain were not detected, there was no significant difference between the growth of Δfad15 and that of the W7-5 strain at different temperatures. After the FAD12 gene was supplemented, the growth at different temperatures and intracellular fatty acid compositions of the supplementing strain were restored compared to those of the strain W7-5. These results suggested that only linoleic acid synthesized by the psychrophilic yeast, not linolenic acid synthesized, played an important role in adaptation to low temperature (5°C) and high temperature (25°C) of the psychrophilic yeast, Meanwhile, it was found that cell wall in the mutant Δfad12 grown at 5 and 25°C was also negatively affected after the mutant could not synthesize C18:2 fatty acids. This caused the reduced cell growth rate of the mutant Δfad12 grown at 5 and 25°C.
M1A regulator ALKBH1 and TRMT10B as potential prognostic bio markers and related to the tumor immune microenvironment in pan creatic adenocarcinoma
Authors: Li Jiahao , Li Luohong , Huang Sike , Wang Hongyi , Liao Yuxuan , Zhou Dawei , Zhang Zhen 
Published: June 2022

Abstract
Background
N1-methyladenosine (m1A) RNA methylation is crucial in carcinogenesis and tumorous molecular pathogenesis. However, the detailed pathogenic mechanism of m1A regulators in pancreatic adenocarcinoma (PAAD) has not been comprehensively researched. Therefore, the purpose of this study was to investigate the role of m1A in PAAD prognosis and tumor microenvironment (TME).
Methods
The relationship between m1A regulators and the PAAD prognosis was analyzed with the cBioportal database. RNA-seq transcriptome was obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases for differential expression analysis. The role of m1A regulators in the PAAD TME was analyzed wthe ith TISIDB database and R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichmanalysesysis were performed by The Database for Annotation, Visualization, and Integrated Discovery (DAVID).
Results
In PAAD, we discovered 10 m1A regulators correlated to poor prognosis and were all upregulated. While up-regulated ALKBH1 and TRMT10B were associated with a better prognosis in PAAD patients. Further research found that ALKBH1 and TRMT10B significantly upregulated the infiltrating level of immune cells, especially CD4 + T cells. Additionally, they also affected the expression of immunomodulators, including CD276, TMEM173, TNFSF9, etc. Finally, GO and KEGG enrichment analysis proved that ALKBH1 and TRMT10B influenced the PAAD development by regulating the RNA polymerase II.
Conclusion
Promoted expression of ALKBH1 and TRMT10B was significantly related to a better prognosis in PAAD, the possible mechanism of which might associate with the alternation of the TME. ALKBH1 and TRMT10B were potential prognosis biomarkers and possible immunotherapeutic targets for PAAD.
A Swamp Forest Streptomyces sp. KF15 with Broad Spectrum Antifungal Activity against Chilli Pathogens Exhibits Anticancer Activity on HeLa cell line
Authors: Bhat Meghashyama Prabhakara , Nayaka Sreenivasa , Kumar Raju Suresh 
Published: June 2022

Abstract
During the investigation, soil actinomycetes were isolated from Kathlekanu swamp forest and the crude ethyl acetate extract from the potent isolate KF15 was analyzed with GC-MS and HPTLC to identify bioactive metabolites. The crude extract was examined for in-vitro antifungal activity on pathogens of chilli; MTT cytotoxicity assay was performed against HeLa cell line to determine the anticancer potential. The isolate Streptomyces sp. KF15 exhibited antagonistic activity against fungal pathogens by inhibiting growth and altering growth pattern with increased antimicrobial activity in dose-dependent manner. GC-MS revealed many bioactive compounds and HPTLC depicted metabolite fingerprint. The IC50 of 99.85µg/ml indicated the high potential of KF15 extract to prevent proliferation of HeLa cells. Therefore, the findings of this study indicate that, the crude extract from Streptomyces sp. KF15 contains antifungal and anticancer metabolites; further study on purification could help in controlling many fungal diseases as well as cervical cancer in humans.
In silico mutagenesis and modeling of decoy peptides targeting CIB1 to obscure its role in triple-negative breast cancer progression
Authors: Shahab Muhammad , Liang Chaoqun , Duan Xiuyuan , Wadood Abdul , Junaid Muhammad , Almuqri Eman Abdullah , Zheng Guojun 
Published: June 2022

Abstract
Breast cancer is a common malignancy in women which is a diverse disease. In women, 287,850 and males, 2710 cases are reported in 2022. Breast cancer is the most often diagnosed disease in women and one of the leading causes of cancer mortality. Approximately 10-20% of all new cases of breast cancer diagnosed in the United States in 2017 were triple-negative breast cancers (TNBCs), which lack the expression of estrogen receptors (ER), and progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2). Calcium integrin-binding protein1 lacks a suitable pocket that could be used to create a chemical inhibitor, and because the breast cancer-causing protein is nearly identical to its necessary, wild-type counterparts, it was thought to be druggable. At the present, peptide inhibitors were designed against CIB1. The crystal structure CIB1 in complex with peptide inhibitor UNC10245092 was retrieved from the protein databank. The protein directly blocks interaction with RAF and diminishes signaling through the RAF– MEK–ERK signaling pathway. The goal of this study is to design novel peptides from the reference peptide (UNC10245092) through residue scan methodology. The top five designed peptides (based on binding free energies) were subjected to molecular dynamics simulations using AMBER to evaluate stability. Our results indicate that amongst the top five selected peptides, mutant 2nd mutant have strong interactions with CIB1 than the reference peptide (UNC10245092) and have the potency to prevent the binding of RAF and CIB1.
Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification
Authors: Jiao Nan , Sun Zhanquan 
Published: June 2022

Abstract
Electrocardiogram (ECG) is of great significant in detecting cardiovascular disease. With the continuous development of computerized ECG interpretation technology, artificial intelligence method shows potential in realizing high accuracy of arrhythmia auto classification. Recently, many research studies information mining of ECG signals from time domain to time-frequency domain. However, current models of automatic arrhythmia detection extract the features in time-domain and time-frequency domain separately, and merge the features of multi-domain in the last layer. The information of middle layers of multi-domain is not used fully. In this study, we develop an ECG classifier based on Multiple Domain Features Fusion Network with Lead Attention (MDFF-LA), which can realize feature fusion in multi-domain. MDFF-LA can extract features in time domain and frequency domain features respectively. In the process of feature extraction in multi-domain, the feature weight of one domain is optimized and adjusted through the attention module generated by the other domain. In the proposed model, feature fusion is operated at multi stages to fully integrate information of multi domain. Finally, we conduct comprehensive experiments on three multi lead ECG databases to test the performance. The results demonstrate that the fusion features in multi domain extracted by MDFF-LA can obtain more valuable information, which can provide supported diagnosis for clinicians in practical.
Gender Norms Do Not Persist But Converge Across Time
Authors: Singla Shikhar , Mukhopadhyay Mayukh 
Published: June 2022

Abstract
Gender equality is a fundamental human right, considered essential for the creation of a just society and a key ingredient of the United Nations Sustainable Development Goals. A key determinant of gender inequality in terms of the gender wage gap and other dimensions are the attitudes and stereotypes associated with women. Here, we investigate the evolution of gender norms for 160 years in the US.
Socioeconomists have posited two fundamental and widely debated theories on the evolution of cultural norms across time. One school argues that cultural norms (including gender norms) should converge across time as economies become more advanced and globalised and technological progress allows for easier information sharing. The other school states that cultural traits are highly persistent, passed down from generation to generation and will remain divergent across regions.
To test these theories quantitatively, researchers need data on attitudes measured at appropriate levels of granularity, at a high frequency and over a long time series. However, no such data currently exists. Here we propose an unsupervised machine learning methodology to measure attitudes at the document level. We apply this methodology to 193 million pages of local newspaper text to produce localised attitudes towards women on four different dimensions: career vs family, attitudes towards abortion, attitudes towards feminism/suffrage, and violence against women.
We establish five novel facts on the evolution of attitudes across time with these measures. (i) Attitudes are less persistent than the existing literature hypothesises. (ii) The persistence of attitudes varies considerably across different regions and dimensions. (iii) Attitudes exhibit cyclical patterns. (iv) Regional variation in attitudes decreases considerably over time and has fallen between 64% to 79%. (v) A decrease in transport costs that allows for easier information sharing is associated with a homogenisation of the norms.
Our paper calls for more research on whether similar patterns exist across countries and the causal factors that make culture converge.