bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal adherence to annual colorectal cancer screening among Black persons living in the United States enrolled in a community‐based randomized trial
Authors: Arevalo Mariana , Sutton Steven K. , Abdulla Rania , Christy Shannon M. , Meade Cathy D. , Roetzheim Richard G. , Gwede Clement K. 
Published: December 2023

AbstractBackgroundThis study examined repeat colorectal cancer screening rates at 12 and 24 months as part of a randomized intervention trial among Black persons living in the United States and factors associated with screening adherence.MethodsParticipants completed a survey assessing demographics and Preventive Health Model (PHM) factors (e.g., self efficacy, susceptibility) and received either a culturally targeted photonovella plus free fecal immunochemical test (FIT) kits (intervention group) or a standard educational brochure plus free FIT kits (comparison group). FIT return was assessed at 6, 12, and 24 months. Descriptive statistics summarized patterns of repeat screening. Logistic regression models assessed FIT uptake overtime, and demographic and PHM factors associated with screening adherence.ResultsParticipants (N = 330) were U.S.‐born (93%), non‐Hispanic (97%), and male (52%). Initial FIT uptake within 6 months of enrollment was 86.6%, and subsequently dropped to 54.5% at 12 months and 36.6% at 24 months. Higher FIT return rates were observed for the brochure group at 24 months (51.5% vs 33.3% photonovella, p = .023). Multiple patterns of FIT kit return were observed: 37% completed FIT at all three time points (full adherence), 22% completed two of three (partial adherence), 29% completed one of three (partial adherence), and 12% did not return any FIT kits (complete nonadherence). Predictors of full adherence were higher levels of education and self‐efficacy.ConclusionsFull adherence to repeat screening was suboptimal. Most participants had partial adherence (one or two of three) to annual FIT screening. Future studies should focus on strategies to support repeat FIT screening.
Current sharing and voltage restoration based on determination of transmission line resistance considering constant power loads in direct current microgrids
Authors: Mahdavi Milad , Banejad Mahdi , Gholizadeh Narm Hossein , Aminzadeh Hamed 
Published: December 2023

SummaryMaintaining proper current sharing among distributed generation (DG) units while regulating the output voltage is a challenging control issue in DC microgrids. The conventional droop control is widely used at the primary level of control to tackle this issue, but this method faces some limitations in voltage control and current sharing. To address this problem, this paper presents a new distributed secondary control method that determines the resistance of transmission lines by injecting an external pulse to the reference voltage of each converter and measuring output voltage and current changes. The proposed secondary control signal, denoted as
, enables simultaneous proportional current sharing and voltage restoration in the DC microgrid by correcting the droop coefficients based on the determined resistances. In order to ensure the stability of the proposed method, the small signal stability analysis of the closed‐loop system is conducted, considering various parameter changes. In contrast to similar methods, the proposed method introduces a new hybrid technique of voltage setpoint shifting and droop parameter adjustment that achieves precise proportional current sharing and voltage restoration, even when faced with varying resistive loads and constant power loads (CPLs). Additionally, the proposed method demonstrates outstanding characteristics, such as high convergence speed, the ability to determine transmission line resistances instead of assuming them to be known, and robustness in plug‐and‐play scenarios and communication system failures. The simulation results in MATLAB and experimental tests confirm the effectiveness of the proposed method.
A Gallium Nitride (GaN) Doherty power amplifier chip design based on series RC stability network
Authors: Li Chang‐Kun , Zhu Xiao‐Wei , Liu Rui‐Jia , Zhang Lei 
Published: December 2023

SummaryThis paper presents Doherty power amplifier (DPA) based on gallium nitride (GaN) technology, incorporating a parallel grounded network with series RC elements in front of the carrier and peaking amplifiers to enhance circuit stability. In comparison to the traditional series network with parallel RC structure, this configuration effectively reduces the sensitivity of the stability factorKto the capacitance value within the stability network. Consequently, it mitigates the impact on various performance indicators such as gain and drain efficiency, addressing the issue of measurement performance deviation caused by inaccurate capacitance models in the simulation files, which is particularly crucial for DPA. As a result, the circuit exhibits improved consistency in design and processing. With full band stability, the DPA achieves a saturation output power of approximately 29.8 dBm at 28 GHz, a saturation efficiency of 38.2%, and a 6‐dB back‐off efficiency of 29.6%.
Data‐driven Bayesian network learning analysis on the regulatory mechanism between carcinogenic genes and immune cells
Authors: Bu Weixiao , Mu Huaxia , Gao Mengyao , Su Weiqiang , Shi Fuyan , Wang Qinghua , Wang Suzhen , Kong Yujia 
Published: December 2023

AbstractBackgroundIn recent years, it has become a research focus to accurately extract key genes influencing the occurrence and development of diseases from massive genomic data and study their regulatory mechanisms. Further exploration of these large databases is beneficial for us to identify key regulatory mechanisms in the occurrence and development of diseases, providing direction and theoretical basis for subsequent experimental design and research.MethodsBy using data from The Cancer Genome Atlas (TCGA) for lung adenocarcinoma (LUAD), the immune cell content of patients was obtained through deconvolution calculations in CIBERSORTx. Combined with Bayesian network inference methods, the impact of key gene expression on the heterocellular network influencing lung cancer was analyzed.ResultsWe found CD36 and ADRA1A genes were identified as two key mRNA genes influencing lung adenocarcinoma. The sensitivity analysis shows that the model performs well on both the testing set (error rate = 4%, AUC = 0.9804), the training set (error rate = 5.637%, AUC = 0.9746) and the verification set (error rate = 28.85%, AUC = 0.8689). The model has excellent predictive capabilities.ConclusionWe found that CD36 and ADRA1A genes may influence the development of lung cancer by affecting regulatory T cell and follicular helper T cell populations. Additionally, plasma cells may affect the expression of the CD36 gene. And the mutual information calculated by the model for these two genes is also the highest, indicating their potential as tumour biomarkers. Combining the network model, it can be inferred that CD36 and ADRA1A are likely to influence the occurrence and development of the disease through follicular helper T cells and regulatory T cells.
The molecular classification of cancer‐associated fibroblasts on a pan‐cancer single‐cell transcriptional atlas
Authors: Chen Bonan , Chan Wai Nok , Xie Fuda , Mui Chun Wai , Liu Xiaoli , Cheung Alvin H. K. , Lung Raymond W. M. , Chow Chit , Zhang Zhenhua , Fang Canbin , Yu Peiyao , Shi Shihua , Zhou Shikun , Chen Guoming , Wang Zhangding , Wang Shouyu , Ding Xiaofan , Huang Bing , Liang Li , Dong Yujuan , Wong Chi Chun , Wu William K. K. , Cheng Alfred S. L. , Wong Nathalie , Yu Jun , Lo Kwok Wai , Tse Gary M. K. , Kang Wei , To Ka Fai 
Published: December 2023

AbstractBackgroundCancer‐associated fibroblasts (CAFs), integral to the tumour microenvironment, are pivotal in cancer progression, exhibiting either pro‐tumourigenic or anti‐tumourigenic functions. Their inherent phenotypic and functional diversity allows for the subdivision of CAFs into various subpopulations. While several classification systems have been suggested for different cancer types, a unified molecular classification of CAFs on a single‐cell pan‐cancer scale has yet to be established.MethodsWe employed a comprehensive single‐cell transcriptomic atlas encompassing 12 solid tumour types. Our objective was to establish a novel molecular classification and to elucidate the evolutionary trajectories of CAFs. We investigated the functional profiles of each CAF subtype using Single‐Cell Regulatory Network Inference and Clustering and single‐cell gene set enrichment analysis. The clinical relevance of these subtypes was assessed through survival curve analysis. Concurrently, we employed multiplex immunofluorescence staining on tumour tissues to determine the dynamic changes of CAF subtypes across different tumour stages. Additionally, we identified the small molecule procyanidin C1 (PCC1) as a target for matrix‐producing CAF (matCAF) using molecular docking techniques and further validated these findings through in vitro and in vivo experiments.ResultsIn our investigation of solid tumours, we identified four molecular clusters of CAFs: progenitor CAF (proCAF), inflammatory CAF (iCAF), myofibroblastic CAF (myCAF) and matCAF, each characterised by distinct molecular traits. This classification was consistently applicable across all nine studied solid tumour types. These CAF subtypes displayed unique evolutionary pathways, functional roles and clinical relevance in various solid tumours. Notably, the matCAF subtype was associated with poorer prognoses in several cancer types. The targeting of matCAF using the identified small molecule, PCC1, demonstrated promising antitumour activity.ConclusionsCollectively, the various subtypes of CAFs, particularly matCAF, are crucial in the initiation and progression of cancer. Focusing therapeutic strategies on targeting matCAF in solid tumours holds significant potential for cancer treatment.
Gender dimorphism in hepatocarcinogenesis—DNA methylation modification regulated X‐chromosome inactivation escape molecule XIST
Authors: Dai Zhihui , Wang Sijie , Guo Xinggang , Wang Yuefan , Yin Haozan , Tan Jian , Mu Chenyang , Sun Shu‐Han , Liu Hui , Yang Fu 
Published: December 2023

AbstractBackgroundSex disparities constitute a significant issue in hepatocellular carcinoma (HCC). However, the mechanism of gender dimorphism in HCC is still not completely understood.Methods5‐Hydroxymethylcytosine (5hmC)‐Seal technology was utilised to detect the global 5hmC levels from four female and four male HCC samples. Methylation of XIST was detected by Sequenom MassARRAY methylation profiling between HCC tissues (T) and adjacent normal liver tissues (L). The role of Tet methylcytosine dioxygenase 2 (TET2) was investigated using diethylnitrosamine (DEN)‐administered Tet2−/− female mice, which regulated XIST in hepatocarcinogenesis. All statistical analyses were carried out by GraphPad Prism 9.0 and SPSS version 19.0 software.ResultsThe results demonstrated that the numbers of 5hmC reads in the first exon of XIST from female HCC tissues (T) were remarkably lower than that in female adjacent normal liver tissues (L). Correspondingly, DNA methylation level of XIST first exon region was significantly increased in female T than in L. By contrast, no significant change was observed in male HCC patients. Compared to L, the expression of XIST in T was also significantly downregulated. Female patients with higher XIST in HCC had a higher overall survival (OS) and more extended recurrence‐free survival (RFS). Moreover, TET2 can interact with YY1 binding to the promoter region of XIST and maintain the hypomethylation state of XIST. In addition, DEN‐administered Tet2−/− mice developed more tumours than controls in female mice.ConclusionsOur study provided that YY1 and TET2 could interact to form protein complexes binding to the promoter region of XIST, regulating the methylation level of XIST and then affecting the expression of XIST. This research will provide a new clue for studying sex disparities in hepatocarcinogenesis.Highlights
XIST was significantly downregulated in HCC tissues and had gender disparity.
Methylation levels in the XIST first exon were higher in female HCC tissues, but no significant change in male HCC patients.
The TET2–YY1 complex regulate XIST expression in female hepatocytes.
Other ways regulate XIST expression in male hepatocytes.
Using community science to map western monarch butterflies (Danaus plexippus) in spring
Authors: Erickson Emily , Jason Christopher , Machiorlete Hannah , de la Espriella Lilianne , Crone Elizabeth E. , Schultz Cheryl B. 
Published: December 2023

AbstractMigratory animals follow seasonal cycles comprising linked phases often with different habitat requirements and demographic processes. Conservation of migratory species therefore must consider the full seasonal cycle to identify points limiting population viability. For western monarch butterflies, which have experienced significant declines, early spring is considered a critical period in the annual population cycle. However, records of western monarchs in early spring, when overall abundance is lowest, have historically been extremely limited. We used a community science initiative, the Western Monarch Mystery Challenge, to collect data on monarch distribution throughout the western United States between February 14th and April 22nd over 3 years. Using data from the Western Monarch Mystery Challenge and iNaturalist, we identified potential breeding habitat for western monarchs in early spring that spanned a large geographic area and several ecoregions. We observed monarchs in early spring that likely eclosed in the current year, suggesting that population expansion from overwintering sites reflects both movement and population growth. The number of records of western monarchs from early spring was higher during the Mystery Challenge (33.0/year) than earlier years (5.1/year). This study demonstrates the potential for and limitations of community science to increase our understanding of species at points in the life cycle when they are rare.
Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review
Authors: Khani Mohsen , Jamali Shahram , Sohrabi Mohammad Karim , Sadr Mohammad Mohsen , Ghaffari Ali 
Published: December 2023

AbstractThis paper reviews recent research on resource allocation in 5G cloud‐based radio access networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the potential of DRL for learning complex decision‐making policies without human intervention. The paper first introduces the C‐RAN architecture and resource allocation concepts, followed by an overview of DRL algorithms applied to C‐RAN. It discusses the challenges and potential solutions in applying DRL to C‐RAN resource allocation, including scalability, convergence, and fairness. The review concludes by highlighting open research directions for future investigation. By providing insights into the state‐of‐the‐art techniques for resource allocation in 5G C‐RAN using DRL, this paper emphasizes their potential impact on advancing 5G network technology.
A review on mechanisms and impacts of cold plasma treatment as a non‐thermal technology on food pigments
Authors: Ramezan Yousef , Kamkari Amir , Lashkari Armita , Moradi Donya , Tabrizi Abbas Najafi 
Published: December 2023

AbstractFood characteristics like appearance and color, which are delicate parameters during food processing, are important determinants of product acceptance because of the growing trend toward more diverse and healthier diets worldwide, as well as the increase in population and its effects on food consumption. Cold plasma (CP), as a novel technology, has marked a new trend in agriculture and food processing due to the various advantages of meeting both the physicochemical and nutritional characteristics of food products with minimal changes in physical, chemical, nutritional, and sensorial properties. CP processing has a positive impact on food quality, including the preservation of natural food pigments. This article describes the influence of CP on natural food pigments and color changes in vegetables and fruits. Attributes of natural pigments, such as carotenoids, chlorophyll, anthocyanin, betalain, and myoglobin, are presented. In addition, the characteristics and mechanisms of CP processes were studied, and the effect of CP on mentioned pigments was investigated in recent literature, showing that the use of CP technology led to better preservation of pigments, improving their preservation and extraction yield. While certain modest and undesirable changes in color are documented, overall, the exposure of most food items to CP resulted in minor loss and even beneficial influence on color. More study is needed since not all elements of CP treatment are currently understood. The negative and positive effects of CP on natural food pigments in various products are discussed in this review.
Effects of blending ratio variation on macronutrient compositions and sensory acceptability of dabi teff‐field pea‐based novel composite complementary flours
Authors: Tura Diriba Chewaka , Belachew Tefera , Tamiru Dessalegn , Abate Kalkidan Hassen 
Published: December 2023

AbstractThe response of a mixed system is determined by the proportions of the various ingredients that add up to one, not by the combination's total amount. This research aimed at examining the effects of blending ratio variation on the macro‐composition and sensory acceptability of dabi teff‐field pea‐based novel composite complementary flours. Standard methods (AOAC, 2016, Official Methods of Analysis of the Association of Official Analytical Chemists) were used to determine macronutrients. The sensory attributes were evaluated using a 5‐point hedonic scale. The ingredients were constrained at 0%–30% for field pea, 20%–35% for dabi teff, and 5%–20% for maize, while the remaining were set constant at 5% linseed, 15% oats, and 25% barley. D‐optimal was used to examine the effects of blending ratio variation on the responses. All the responses were significantly different (p < .05) among the blends except for fat content, ranging from 14.58% to 17.21% for protein, 4.22% to 5.59% fat, 2.01% to 2.60% ash, 2.68% to 3.96% fiber, 68.08% to 70.76% utilizable carbohydrate, and 378.82 to 386.9 kcal/100 g gross energy. The sensory acceptability score ranged from 3.4 to 4.4. The linear model was significant (p < .05) and adequate to describe variation in moisture, protein, and ash contents. An increase in the ratio of field pea significantly increased (p < .05) protein, ash, fiber, and energy. The interactive effect between dabi teff and field pea significantly increased the sensory acceptability of the blends. These findings showed that varied proportions of the ingredients had a significant effect on the responses, and were used to develop a wholesome product to combat protein‐energy malnutrition among children.
Effects of non‐condensable CCUS impurities (CH4, O2, Ar and N2) on the saturation properties (bubble points) of CO2‐rich binary systems at low temperatures (228.15–273.15 K)
Authors: Okoro Franklin , Chapoy Antonin , Ahmadi Pezhman , Burgass Rod 
Published: December 2023

AbstractThe present work investigated the effects of some non‐condensable impurities (i.e., N2, O2, CH4, and Ar) on the phase behaviour of CO2‐rich systems at low temperature conditions (228.15–273.15 K). The study focused on bubble point measurements of CO2‐rich systems using the isothermal (pressure–volume) method at different mole fractions of CO2 (99.5%–95%). The obtained experimental data were used to validate multi‐fluid Helmholtz energy approximation (MFHEA) and Peng–Robinson (PR) equations of state (EoSs). For all data points, the measurements’ uncertainties for temperature and pressure were 0.14 K and 0.03 MPa, respectively. While the composition uncertainty of the CO2 systems was a maximum of 0.024%. The findings reveal that as the mole fractions of the impurities increased, the bubble point pressures of the binary mixtures were elevated. Among all the investigated impurities, N2 has the most significant effect on the bubble point pressures of CO2 binary mixture at all the isotherms and compositions. Both MFHEA and PR models agreed well with the measured equilibrium points. For all systems, the average absolute deviations of the measured experimental data against the MFHEA and PR EoSs, were found to be less than 3.4% and 2.2%, respectively. Although the MFHEA EoS overpredicted most of the data points, the overall trend agreed with the experimental data and was consistent with the data available in the literature. The findings imply that the presence of these non‐condensable impurities (even as low as 0.5% mole fraction) increases the risk of two‐phase flow at higher pressures in a CO2‐rich system. © 2023 The Authors. Greenhouse Gases: Science and Technology published by Society of Chemical Industry and John Wiley & Sons Ltd.
Social fund and infant mortality: Evidence from an anti‐poverty policy in Northeast Brazil
Authors: de Souza Sá Álvaro Robério , Santos Branco Danyelle Karine 
Published: December 2023

AbstractThis paper evaluates the effects of a social fund that meets the needs of the poor in Northeast Brazil, the Fundos Estaduais de Combate e Erradicação da Pobreza (FECEP). The program could have improved infant health by reducing poverty and improving access to health care, sanitation, food, and housing. Using a difference‐in‐differences approach robust to heterogeneous treatment effects, we confirm that the program has effectively reduced poverty in treated areas. Furthermore, we document that this poverty reduction is associated with a significant decline in infant mortality. These findings provide consistent evidence that targeted public investments can improve living conditions in vulnerable regions.
Mechanism of non‐small cell lung cancer cell‐derived exosome miR‐196b‐5p promoting pyroptosis of tumor T cells and tumor cell proliferation by downregulating ING5
Authors: Zhang Zhixian , Yang Lei , Lei Xuefen , Yu Jia , Wang Lijuan , Cao Hongming , Gu Hou 
Published: December 2023

AbstractIn the world, lung cancer is one of the most common malignant cancers and has become the leading cause of death of cancers in China, among which non‐small cell lung cancer (NSCLC) accounts for a relatively high proportion, but there is a lack of effective treatment at present. An animal model of NSCLC was established, and BEAS‐2b, H1299, Lewis, and T cells were used for subsequent experimental verification. The level of miR‐196b‐5p was detected by quantitative real‐time polymerase chain reaction. Growth inhibitor 5 (ING5), CD9, CD63, HSP70, Caspase‐1, NLRP3, and GSDMD‐NT were detected by western blot. The level of ING5 was confirmed by immunohistochemistry, the location of miR‐196b‐5p was analyzed by fluorescence in situ hybridization (FISH), cell viability was investigated by Cell Counting Kit‐8 kit, and interleukin (IL)‐1β and IL‐18 were confirmed by enzyme‐linked immunosorbent assay. Cell apoptosis was detected by flow cytometry. In addition, the binding site was verified by dual‐luciferase reporter gene experiments. Tumor volume was measured. TUNEL staining was used to detect apoptosis. Flow cytometry was used to measure the levels of CD8 T, CD4 T, and Treg cells in tumors. miR‐196‐5p was highly expressed in exosomes secreted by tumor cells. miR‐196‐5p negatively targeted ING5 to promote the growth of tumor cells. Cancer‐derived exosomes promote pyroptosis of T cells to further aggravate the development of cancer. Exosome‐derived miR‐196b‐5p promoted pyroptosis of T cells. Exosome‐derived miR‐196b‐5p inhibited the level of ING5 to promote tumor growth and accelerate the process of NSCLC.