bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulmonary Engraftment Syndrome: A unique complication of allogeneic hematopoietic cell transplantation for myelofibrosis
Authors: Pullarkat Vinod , Otoukesh Salman , Amanam Idoroenyi , Yang Dongyun , Rahmanuddin Syed , Samuels Diana , Salhotra Amandeep , Artz Andrew , Arslan Shukaib , Aldoss Ibrahim , Sandhu Karamjeet , Koller Paul , Aribi Ahmed , Curtin Peter , Stein Anthony , Marcucci Guido , Malki Monzr Al , Ali Haris , Nakamura Ryotaro 
Published: February 2024

Abstract
Allogeneic hematopoietic cell transplantation (alloHCT) is the only potentially curative modality for primary and secondary myelofibrosis (MF) due to other myeloproliferative neoplasms. However, alloHCT in MF is complicated by cardiopulmonary comorbidities that frequently exist in these patients, which in turn translates into higher non relapse mortality (NRM). We describe a syndrome of pulmonary infiltration and respiratory compromise (pulmonary engraftment syndrome, PES) that occurred at time of engraftment in patients undergoing alloHCT for MF. Eighteen of 83 (22%) patients experienced PES as defined and radiologic findings included ground glass opacities, consolidation or pulmonary nodularity. Only a third of patients had other features of engraftment syndrome. Pulmonary arterial hypertension was associated with occurrence of PES (Odds ratio 3.68 [95% CI 1.13,12; P = 0.04]). There was no association of PES with pre HCT pulmonary function testing or imaging. Hypoxemia occurred in 15 of 18 patients. Although 44% of the 18 patients who developed PES required intensive care and 40% required mechanical ventilation, all patients responded to supportive management and treatment with corticosteroids. Occurrence of PES did not adversely impact overall survival or NRM. PES is a distinct syndrome that occurs after alloHCT for MF and is associated with significant morbidity making its early recognition important.
GC–MS analysis of phytoconstituents from Kigelia africana (Lam.) Benth., and molecular docking interactions of bioactive molecules with target Penicillin-Binding Protein 2 (PBP2)
Authors: Palani Manogar , Sitrarasu Vijaya Prabhu , Palanivelu Durairaj , Mark John Abel Martin 
Published: February 2024

Abstract
In the present scenario, people are practicing the natural medicine from plants and its various parts to cure so many diseases. Gonorrhea is a Sexually Transmitted Infection (STI) caused by the bacterium Neisseria gonorrhoeae. If left untreated, gonorrhea can lead to serious health problems. Although symptoms of gonorrhea can vary, 10% of men and 50% of women who suffer from N. gonorrhoeae infection may not show any symptoms at all. Unfortunately, until then there is neither a vaccine nor an effective treatment. The bark of Kigelia arficana is traditionally used to treat syphilis and gonorrhea. During cell development in N. gonorrhoeae, the enzyme penicillin-binding protein 2 (PBP2) is required for cell wall formation. The aim of this work is to investigate the molecular interactions of three PBP2 variants with bioactive molecules from K. africana using molecular docking and ADMET analysis. 13 phytochemicals were selected based on how well each PBP2 protein receptor was docked after docking results were evaluated using the Glide score. The results of the docking analysis were evaluated using the Glide score, and the 13 compounds docked to each PBP2 protein receptor were selected. In addition, the selected phytocompounds were subjected to ADMET analysis, suggesting that they have the potential for therapeutic development. Among the selected 13 bioactive compounds, the docking score of 6-hydroxyluteolin Glide XP docking score is -10.225, the Glide XP energy (Kcal/Mol) is -35.841, the Glide XP emodel is -51.155 and the MM-GBSA binding score is -78.215 (Kcal/Mol)for PBP2. The results of the study suggest that these phytocompounds could potentially be used to treat N. gonorrhoea. Based on the efficiency of molecular docking, the present study concluded that they could be potential drug candidates for the development of drugs against N. gonorrhoea.
Emotion-Aware Face De-identification with Generative Adversarial Networks
Authors: Shopon Md , Gavrilova Marina L. 
Published: February 2024

Abstract
This paper presents an innovative end-to-end emotion-preserving de-identification approach utilizing a Generative Adversarial Network (GAN), employing the StyleGAN architecture. The method produces natural-looking de-identified images by generating a synthetic face image dataset and utilizing the DeepFace model for gender classification and representative image selection. An enhanced SimSwap framework enhances emotion preservation, accompanied by a novel loss function tailored to emotional expression preservation. The deep face model serves to classify and recognize emotional expressions in both original and de-identified swapped images. Explicit preservation of emotional expressions during face-swapping is achieved through attribute preservation loss minimization. The paper conducts a detailed ablation study to demonstrate the superiority of the proposed GAN components. The method exhibits superior performance in accuracy and emotion preservation compared to recent face de-identification methods.
Identification of Biomarkers in Gynecologic Cancers: A Machine Learning Approach for Metabolomics
Authors: Lee Sang-Min , Cha SangHun , Lee Kyeong Eun , Kim Min-Gul , Shin Kwang-Hee 
Published: February 2024

Abstract
Introduction
Diagnostic methods for gynecologic cancer (GC) such as cervical cancer (CC), endometrial cancer (EC), and ovarian cancer (OC) remain poorly developed. Machine learning (ML) algorithms have recently been compared to traditional statistical methods utilized to analyze metabolomics data.
Objective
This study aimed to identify the clinical metabolic markers associated with GCs by comparing ML algorithms with orthogonal partial least squares-discriminant analysis (OPLS-DA).
Methods
Untargeted metabolomic analysis was performed on plasma from 42 patients with GC (24 CC, 9 EC, and 9 OC) and 57 healthy female participants. GC and healthy control groups were classified using OPLS-DA and eight ML algorithms. The ML algorithm with the best classification performance was used to assess CC, EC, and OC with healthy controls, and metabolite candidates involved in each GC were selected.
Results
Upon comparing the classification model performance between the GC and control groups, random forest (RF) model displayed the best performance with an area under the curve (AUC) of 0.9999. The multi-classification RF model was established to distinguish all four groups and was achieved an AUC of 0.8351. The AUCs of the three GC subgroup assessment RF models comparing patients with CC, EC, and OC with healthy controls were 0.9838, 0.7500, and 0.7321, respectively. Plasma concentrations of two identified metabolites significantly increased in patients with GCs.
Conclusion
Several ML algorithms were used to distinguish GC, showed better performance than conventional OPLS-DA. Proline betaine and lysophosphatidyl ethanolamine (18:0/0:0) selected in RF models were suggested as metabolite candidates associated with GCs.
Comprehensive evolutionary analysis of the FAD2 gene family in representatives of campanulids: identification and characterization of candidate genes from the plant polyacetylene metabolism
Authors: Cao Yanan , Wang Menghao , Liu Yanyan , Wang Hongwei , Na Risong 
Published: February 2024

Abstract
Background Polyacetylenes (PAs) are a kind of specialized plant defense compounds that mainly occur in campanulid plants. Fatty Acid Desaturase 2 (FAD2) catalyzes desaturation in the initial stage of PA biosynthesis, and tends to be involved in later steps of oxidation reactions as well. The FAD2 enzymes not only have desaturase activity, but can also perform other fatty acid modifications, giving rise to various unusual fatty acids, including the precursors to PAs.Methods and results We present a genome-wide survey of FAD2 genes in nine species, covering all main families of PA source in campanulids and the model plant Solanum lycopersicum, and reconstruct the evolutionary history of this gene family. We uncovered the high conservatism of motif composition, gene structural characteristics and expression patterns of the FAD2 members, in spite of their functional diversification. The number of genes expanded extensively in Asterales and Apiales, two main clades of campanulids, by various gene duplication.Conclusion We provided a list of FAD2 candidates that potentially underlying the biosynthesis of PAs using an approach integrating the phylogenetic framework and molecular evolution rates studies. This work will significantly broaden our perspective on the functional diversity of FAD2 enzymes, and lay a foundation for subsequent functional analysis aimed at discovering further FAD2 genes involved in PA biosynthesis.
Family-Friendly Work Conditions (FFWCs), Gender Concept and Welfare Regime in Malaysia: a document analysis
Authors: (surname) Nadirah (given name) Mat Pozian , Mays Jenni , Miller Yvette D 
Published: February 2024

Abstract
Gender disparities in paid work persist, despite implementing family-friendly work conditions (FFWCs) aimed at increasing women’s paid work participation. Global evidence demonstrates an interaction between gender and welfare regimes that underpin FFWCs, which may render them ineffective in achieving the goal of equitable participation. However, the existing findings are not easily transferrable to the Malaysian context. Evidence for hidden inequities in FFWCs documents in the context of gender and welfare regime in Malaysia has not been comprehensively uncovered. This document analysis aids in exploring which FFWCs has been documented and uncovering FFWCs’ interpretation in the context of gender concepts and welfare regime in Malaysia. Thirty-six documents on FFWCs were reviewed. Findings showed some distinction in the identified FFWCs between public sector, private and international organisations, yet the differences indicated all organisations maintain and conform with Malaysia’s welfare regime. While the intent of FFWCs focuses on women’s inclusion in the workforce, there appeared to be tensions with the values underlying welfare regime in preserving values associated with traditional family systems. This paper offers a way forward in Malaysian FFWCs by accounting for the influence of traditional gender role ideology and reframing women's and gender narratives, including the use of gender-neutral language.
Factors associated with malaria vaccine uptake in Nsanje District, Malawi
Authors: Simbeye Atusaye J. , Kumwenda Save , Cohee Lauren M. , Omondi Dickens , Masibo Peninah K. , Wao Hesborn , Awandu Shehu S. 
Published: February 2024

Abstract
Background
Malaria remains a significant global health burden affecting millions of people, children under 5 years and pregnant women being most vulnerable. In 2019, WHO endorsed introduction of RTS,S/AS01 malaria vaccine as Phase IV implementation evaluation in three countries: Malawi, Kenya and Ghana. Acceptability and factors influencing vaccination coverage in implementing areas is relatively unknown. In Malawi, only 60% of children were fully immunized in Nsanje District in 2021, which is below 80% WHO target. This study aimed to explore factors influencing uptake of malaria vaccine and identify approaches to increase vaccination.
Methods
In a cross-sectional study, 410 mothers/caregivers with children aged 24–36 months were selected by stratified random sampling and interviewed using a structured questionnaire. Vaccination data was collected from health passports, for those without health passports, data was collected using recall history. Regression analyses were used to test association between independent variables and full uptake of malaria vaccine.
Results
Uptake of malaria vaccine was 90.5% for dose 1, but reduced to 87.6%, 69.5% and 41.2% for dose 2, 3, and 4 respectively. Children of caregivers with secondary or upper education and those who attended antenatal clinic four times or more had increased odds of full uptake of malaria vaccine [OR:2.43, 95%CI:1.08–6.51 and OR: 1.89, 95%CI 1.18–3.02] respectively. Children who ever suffered side-effects following immunization and those who traveled long distances to reach the vaccination center had reduced odds of full uptake of malaria vaccine [OR: 0.35, 95%CI: 0.06–0.25 and OR:0.30, 95%CI:0.03–0.39] respectively. Only 17% (n = 65) of mothers/caregivers knew the correct schedule for vaccination and 38.5% (n = 158) knew the correct number of doses a child was to receive.
Conclusion
Only RTS,S dose 1 and 2 uptake met WHO coverage targets. Mothers/caregivers had low level of information regarding malaria vaccine, especially on numbers of doses to be received and dosing schedule. The primary modifiable factor influencing vaccine uptake was mother/caregiver knowledge about the vaccine. Thus, to increase the uptake Nsanje District Health Directorate should strengthen communities’ education about malaria vaccine. Programs to strengthen mother/caregiver knowledge should be included in scale-up of the vaccine in Malawi and across sub-Saharan Africa.
Transcriptome and metabolome combine to analyze the mechanism of leaf coloration formation in Aeonium arboretum ‘Pink Sybil’
Authors: Li Suhua , Zhao Rong , Han Haozhang , Zhang Lihua , Wang Fang , Zhang Nan , Dong Rong 
Published: February 2024

Abstract

The decorative quality of succulents largely stems from their leaf color. Aeonium arboreum's pink Sybil leaves feature an eye-catching stripe pattern and are particularly favored by customers, although the underlying mechanisms of its distinctive coloration are unknown. This study analyzed Aeonium arboreum ‘Pink Sybil’ leaves at the cellular and molecular levels. UHPLC-HRMS identified 11 flavonoid-related metabolites, showing elevated levels in RS samples. Cyanidin 3-galactoside emerged as the predominant compound, representing 93.4% of the total flavonoid content in RS samples(the red part of leaf margin), which was substantially greater than in the GM samples༈the green part of leaf center༉. Freehand slices revealed that anthocyanins, which contribute to the red coloring, were predominantly accumulated in the epidermal cells of the red tissue, in contrast to their presence in the green leaf tissue. Furthermore, cyanidin 3,5-diglucoside was not identified in GM but only in RS. The comparison of two transcripts identified 1,817 DEGs, with 1,123 up-regulated and 694 down-regulated genes. KEGG enrichment analysis revealed that the 20 most significantly enriched DEGs were involved in metabolic pathways, notably the phenylpropanoid and flavonoid biosynthesis pathways, which were closely related to the metabolism of anthocyanins. The majority of the structural genes and transcription factors involved in flavonoid metabolism were shown to be up-regulated using qRT-PCR. Phylogenetic analysis of transcription factors and co-expression network analysis of various metabolites and genes identified one MYB transcription factor, Aa PHL7, and three NAC transcription factors, Aa NAC102, Aa NAC045, and Aa NAC017, which may be involved in the regulation of anthocyanin synthesis in the leaves of the Aeonium arboreum ‘Pink Sybil’. The expression of these structural genes was highly and positively linked with the levels of anthocyanidins, such as Cyanidin 3,5-diglucoside and Cyanidin 3-galactoside. These compounds synergistically increase the expression of CHS1, CHS2, UFGT1, UFGT2, and 4CL during anthocyanin production. The study's findings identified the primary differential metabolites in the red tissue RS and green tissue GM of Aeonium arboretum ‘Pink Sybil’ leaves. This insight lays the groundwork for the initial identification of structural genes and transcription factors that show a strong and positive link with these metabolites. Our findings pave the way for a deeper understanding of the biochemical processes behind leaf discoloration in Aeonium arboreum ‘Pink Sybil’.
Determinants of long-distance eldercare: Evidence from Ghanaian Immigrants in the United States
Authors: Kodwo-Nyameazea Yale 
Published: February 2024

Abstract
The current study investigated the extent to which the following five factors—filial obligation, support receipt, perceived elder vulnerability, caregiver status, and selected sociodemographic characteristics (of both older adults and immigrants) impact long-distance caregiving by Ghanaian immigrants. A convenience sampling technique was used to recruit 124 participants for the study. The results of the regression analysis showed that the key factors influencing remittance to older adult relatives in Ghana were filial obligation and immigrant caregiving status. Respondents not only felt that it was their responsibility to provide financial care for their older adult relatives but also that respondents who described themselves as the main elder caregivers provided more financial support. While there is always the possibility that some Ghanaian immigrants shirk their eldercare obligations, there is much evidence to conclude that most provided care to their elderly relatives and that most were influenced by the social and cultural tenets that underlie eldercare in Ghanaian society.
A Prediction Model for Air Pollution using Artificial Neural Network and Multiple Linear Regression
Authors: Kumar Lokesh , Kumar Gaurav 
Published: February 2024

Abstract
Over the past few decades, air pollution and preventive measures have proven scientifically challenging and the issue is still unending on a worldwide scale. The number of contaminants in the air is increasing daily as a result of the expanding population and the settling of more people in metropolitan regions. They have an impact on people's respiratory and cardiovascular systems, which raises the population's risk of disease and increases mortality. To better enhance public health, several attempts have been made by governmental organizations to comprehend and forecast the Air Quality Index. Without a doubt, the most crucial stage in prediction is the creation of a predictive model of the air quality, which will aid in environmental management and raise public awareness. The most important component of tracking air pollution is air quality prediction. Many methods will be useful in developing an effective model for pollution prediction. The best approach for prediction is to use an artificial neural network. Therefore, this study is conducted by gathering data on air pollutants for the U.P. state cities of Meerut and Ghaziabad and creating an optimum model for the air quality forecast.
Effects of Climate Change and Land Use on the Hydrologic Regime Using the Hydro-bid Tool: Andean Mountain Basin Case Study
Authors: Mena Darwin , Peña-Guzmán Carlos , Rodríguez-Pinzón Manuel 
Published: February 2024

Abstract
Changes on the land surface from human activities or natural events generate changes in land cover, which directly effect water availability and quality in watersheds. This article evaluates the effects on the hydrological regime Andean Mountain basin case study on the Coello river basin in Colombia due to changes in land use/land cover during the 2000–2019 period by the use of the Hydro-Bid tool. The physical analysis of the land surface included the processing of Landsat 7 ETM and Landsat 8 OLI satellite images for the years 2001, 2003, 2015 and 2019. Seven types of coverage were determined based on these data using the Mixed Gaussian Method that is part of the dzetsaka plugin in QGIS. The changes between each year were evaluated, after which the land use/land cover change for the year 2050 was predicted using a Markov chain in the TerrSet software package. The multitemporal analysis showed a decrease in forested areas during the studied period, while low vegetation significantly increased within the watershed. This trend was shown to continue in the future scenario for the year 2050, where the predicted losses in forest cover were estimated at 135 km2 with an increase in flow on the watershed of 59.6%. Additionally, the climate change scenarios were modeled with the changes in land use. The combined effects (climate change + land use) established a progressive decrease in the modal flow. The results from this study will allow authorities to improve decision-making in land use planning and climate change adaptation. However, uncertainties associated with data availability and modelling performance must be taken into account when applying the presented results.
Human health risk assessment framework for new water resource recovery-based bio-composite materials
Authors: Nativio Arianna , Jovanovic Oriana , Kapelan Zoran , van der Hoek Jan Peter 
Published: February 2024

Abstract

A new type of bio-composite material is being produced from water-recovered resources such as cellulose fibres from wastewater, calcite from the drinking water softening process, and grass and reed from waterboard sites. These raw materials may be contaminated with pathogens and chemicals such as Escherichia coli, heavy metals, and resin compounds. A novel risk assessment framework is proposed here, addressing human health risks during the production of new bio-composite materials. The developed framework consists of a combination of existing risk assessment methods and is based on three main steps: hazard identification, qualitative risk mapping, and quantitative risk assessment. The HAZOP and Event Tree Analysis methodologies were used for hazard identification and risk mapping stages. Then, human health risks were quantitatively assessed using quantitative chemical risk assessment, evaluating cancer and non-cancer risk, and quantitative microbial risk assessment. The deterministic and the stochastic approaches were performed for this purpose. The contamination of raw materials may pose human health concerns, resulting in cancer risk above the threshold. Microbial risk is also above the safety threshold. Additional analysis would be significant as future research to better assess the microbial risk in biocomposite production. The framework has been effectively used for chemical and microbial risk assessment.
Discussion on the Influence of Gpx 4 Target in the Field of Cancer
Authors: Wang Ya-Lan , Guo Hong-yan , Zhou Tong , Sun Ke , Shen Qing-kun , Li Xiao-Ting 
Published: February 2024

Abstract:
The current review was undertaken to collate data on Gpx4 inhibitors and the
regulatory proteins related to Gpx4. Gpx4 plays an essential role in ferroptosis; it can be
used to determine the Gpx4 as an indicator for determining tumor occurrence and as a
means of treating cancer. Although there is no market for Gpx4 inhibitors, many researchers
have conducted extensive research, and some compounds have entered clinical
research. This article summarizes all papers related to Gpx4; hope this review can provide
some new insights and ideas for researchers aiming to develop efficient and low--
toxicity Gpx4 inhibitors and provide some new ideas for cancer treatment.